austin_python-2.6.0/.flake80000644000000000000000000000046013615410400012516 0ustar00[flake8] select = ANN,B,B9,C,D,E,F,W,I ignore = ANN101,ANN102,ANN401,B905,B950,D100,D102,D103,D104,D107,E203,E501,I001,I005,W503,W606 exclude = test/data/column.py max-line-length = 88 docstring-convention = google application-import-names = austin per-file-ignores = test/*:ANN,D noxfile.py:ANN,D austin_python-2.6.0/.readthedocs.yml0000644000000000000000000000030613615410400014430 0ustar00version: 2 build: os: ubuntu-24.04 tools: python: "3.13" sphinx: configuration: docs/source/conf.py formats: all python: install: - requirements: docs/requirements.txt - path: . austin_python-2.6.0/CODE-OF-CONDUCT.md0000644000000000000000000000626313615410400014005 0ustar00# Contributor Covenant Code of Conduct ## Our Pledge In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include: * Using welcoming and inclusive language * Being respectful of differing viewpoints and experiences * Gracefully accepting constructive criticism * Focusing on what is best for the community * Showing empathy towards other community members Examples of unacceptable behavior by participants include: * The use of sexualized language or imagery and unwelcome sexual attention or advances * Trolling, insulting/derogatory comments, and personal or political attacks * Public or private harassment * Publishing others' private information, such as a physical or electronic address, without explicit permission * Other conduct which could reasonably be considered inappropriate in a professional setting ## Our Responsibilities Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. ## Scope This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers. ## Enforcement Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at [INSERT EMAIL ADDRESS]. All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately. Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. ## Attribution This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html [homepage]: https://www.contributor-covenant.org austin_python-2.6.0/CONTRIBUTING.md0000644000000000000000000000655113615410400013603 0ustar00# Contributing to Austin Thanks for taking the time to contribute or considering doing so. The following is a set of guidelines for contributing to Austin. ## Preamble Presently, Austin is mainly a C project. The reason behind this is because CPython is written in C, and therefore this is the most natural choice of language for anything that needs to interface to its ABI. ## The Coding Style The Python C API is written in an Object Oriented style. Austin adopts this style too. Some translation unit are used to export a main "object". For example, the `py_code.c` source exports the type `py_code_t`, which is Austin's representation of the analogous `PyCodeObject` from the Python C API. Utility units, like `mem.c` or `logging.c` need not export objects, but may implement a singleton pattern. ### Conventions Every object is a structure that takes a name of the form `_t`, and is declared in a pair of sources `object.c` and `object.h`. #### Methods Methods should have a general structure that includes the object name as a prefix, and the rest must give a short description of what the method does. If the method is a _class_ method, then the prefix and the method description is separated by only one underscore `_`. For instance method, the separator is a double underscore `__`. Private methods, i.e. those that are used only within the translation unit, must be `static` and prefixed with an underscore `_` so that they can be easly recognised in the code. To summarise, here is an example of the above rules in place for an object of type `object_t`. | Method Type | Example | | ----------------------- | ------------------------- | | Private class method | `_object_get_version` | | Private instance method | `_object__get_rgba_value` | | Public class method | `object_new` | | Public instance method | `object__get_color` | #### Objects Life-cycle Every translation unit that exports an object type that can be instantiated at run-time must provide at least two public methods: the class method `_new` for object creation and the instance method `__destroy` for object disposal. There isn't enough complexity at the moment to justify the use of smart pointers, so objects are passed around by pointers, and care should be taken to destroy all the objects no longer needed to avoid memory leaks. Please make sure that your changes do not introduce any memory leaks before submitting a new PR. ### Dependencies Between Units Circular dependencies among translation units should be avoided as much as possible. Whilst sources are stored in a flat file system structure, their dependency tree should be a DAG. ## Opening PRs Everybody is more than welcome to open a PR to fix a bug/propose enhancements/ implement missing features. If you do, please adhere to the following styleguides as much as possible. ### Git Commit Messages This styleguide is taken from the Atom project. * Use the present tense ("Add feature" not "Added feature") * Use the imperative mood ("Move cursor to..." not "Moves cursor to...") * Limit the first line to 72 characters or less * Reference issues and pull requests liberally after the first line ### Labels When opening a new PR, please apply a label to them. Try to use existing labels as much as possible and only create a new one if the current ones are not applicable. austin_python-2.6.0/ISSUE_TEMPLATE.md0000644000000000000000000000114613615410400014052 0ustar00### Description [Description of the issue] ### Steps to Reproduce 1. [First Step] 2. [Second Step] 3. [and so on...] **Expected behavior:** [What you expect to happen] **Actual behavior:** [What actually happens] **Reproduces how often:** [What percentage of the time does it reproduce?] ### Versions You can get this information from copy and pasting the output of `austin --version` from the command line. Also, please include the OS and what version of the OS you're running. ### Additional Information Any additional information, configuration or data that might be necessary to reproduce the issue. austin_python-2.6.0/MANIFEST.in0000644000000000000000000000000013615410400013067 0ustar00austin_python-2.6.0/PULL_REQUEST_TEMPLATE.md0000644000000000000000000000221413615410400015143 0ustar00### Requirements for Adding, Changing, Fixing or Removing a Feature Fill out the template below. Any pull request that does not include enough information to be reviewed in a timely manner may be closed at the maintainers' discretion. ### Description of the Change ### Alternate Designs ### Regressions ### Verification Process austin_python-2.6.0/austin/__init__.py0000644000000000000000000000171613615410400014764 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . austin_python-2.6.0/austin/aio.py0000644000000000000000000001470213615410400013774 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import asyncio import sys import typing as t from austin.base import AustinState from austin.base import BaseAustin from austin.cli import AustinArgumentParser from austin.errors import AustinError from austin.events import AustinMetadata from austin.events import AustinSample from austin.format.mojo import AsyncMojoStreamReader class AsyncAustin(BaseAustin): """Asynchronous implementation of Austin. Implements an ``asyncio`` API for Austin so that it can be used alongside other asynchronous tasks. The following example shows how to make a simple asynchronous implementation of Austin that returns stack in the collapsed format Example:: import asyncio import sys from austin.aio import AsyncAustin from austin.format.collapsed_stack import AustinEventCollapsedStackFormatter FORMATTER = AustinEventCollapsedStackFormatter() class CollapsedStackAsyncAustin(AsyncAustin): async def on_sample(self, sample): print(FORMATTER.format(sample)) async def on_metadata(self, metadata): print(FORMATTER.format(metadata)) if sys.platform == "win32": asyncio.set_event_loop(asyncio.ProactorEventLoop()) async def main(): austin = CollapsedStackAsyncAustin() await austin.start(["-i", "10ms", "python", "myscript.py"]) await austin.wait() asyncio.run(main()) """ def __init__(self, *args: t.Any, **kwargs: t.Any) -> None: super().__init__(*args, **kwargs) self._run_task: t.Optional[asyncio.Task] = None self._proc: t.Optional[asyncio.subprocess.Process] = None async def _run(self, mojo: AsyncMojoStreamReader) -> None: # Start collecting samples self._state = AustinState.RUNNING async for e in mojo: if isinstance(e, AustinSample): try: await t.cast(t.Awaitable[None], self._sample_callback(e)) except Exception as exc: raise AustinError("Error in call to sample callback") from exc elif isinstance(e, AustinMetadata): self._meta[e.name] = e.value if self._metadata_callback is not None: try: await t.cast(t.Awaitable[None], self._metadata_callback(e)) except Exception as exc: raise AustinError("Error in call to metadata callback") from exc self._state = AustinState.TERMINATING # Call the terminate callback try: if self._terminate_callback is not None: await t.cast(t.Awaitable[None], self._terminate_callback()) except Exception as exc: raise AustinError("Error in call to terminate callback") from exc self._state = AustinState.TERMINATED async def start(self, args: t.Optional[t.Sequence[str]] = None) -> None: """Create the start coroutine. Use with the ``asyncio`` event loop. """ self._args = AustinArgumentParser().parse_args(args) self._state = AustinState.STARTING try: _args = list(args if args is not None else sys.argv[1:]) # Make a copy _args.insert(0, "-P") self._proc = await asyncio.create_subprocess_exec( self.binary_path, *_args, stdin=asyncio.subprocess.PIPE, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE, ) except FileNotFoundError: raise AustinError("Austin executable not found.") from None if not self._proc.stdout: raise AustinError("Standard output stream is unexpectedly missing") if not self._proc.stderr: raise AustinError("Standard error stream is unexpectedly missing") mojo = AsyncMojoStreamReader(self._proc.stdout) # Retrieve the Austin version, then call the ready callback async for e in mojo: if isinstance(e, AustinMetadata): self._meta[e.name] = e.value try: if self._metadata_callback is not None: await t.cast(t.Awaitable[None], self._metadata_callback(e)) except Exception as exc: raise AustinError("Error in call to metadata callback") from exc if e.name == "austin": self._check_version() break else: raise AustinError("Cannot determine Austin version from output") # Start the run task where we collect the samples self._run_task = asyncio.create_task(self._run(mojo)) def terminate(self) -> None: """Terminate Austin. Stop the underlying Austin process by sending a termination signal. """ if self._proc is None: raise AustinError("Austin is not running") try: self._proc.terminate() except ProcessLookupError as exc: raise AustinError("Austin process already terminated") from exc async def wait(self) -> int: if self._proc is None or self._run_task is None: raise AustinError("Austin process is not running") # Await the run task. This will terminate naturally when the Austin # process has terminated. await self._run_task # Wait for the Austin process to terminate and return the exit code return await self._proc.wait() austin_python-2.6.0/austin/base.py0000644000000000000000000001661513615410400014143 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import functools import os import sys from abc import ABC from abc import abstractmethod from enum import Enum from itertools import takewhile from pathlib import Path from typing import Any from typing import Callable from typing import Dict from typing import List from typing import Optional from typing import Tuple from austin.cli import AustinArguments from austin.config import AustinConfiguration from austin.errors import AustinError from austin.events import AustinMetadata from austin.events import AustinSample SemVer = Tuple[int, int, int] def _to_semver(version: Optional[str]) -> SemVer: if version is None: return (0, 0, 0) try: return ( tuple( int(_) for _ in "".join( list( takewhile( lambda _: _.isdigit() or _ == ".", version.replace("?", "0") ) ) ).split(".") ) + (0, 0, 0) )[ # type: ignore[return-value] :3 ] except ValueError: raise ValueError("Invalid semantic version") from None class AustinState(int, Enum): """Austin state.""" NOT_STARTED = 0 STARTING = 1 RUNNING = 2 TERMINATING = 3 TERMINATED = 4 _EXE_EXT = ".exe" if sys.platform == "win32" else "" class BaseAustin(ABC): """Base Austin class. Defines the general API that abstract Austin as an external process. Subclasses should implement the :func:`start` and :func:`terminate` methods, and either define the ``on_sample`` method or pass it via the constructor. Additionally, the ``on_metadata`` and ``on_terminate`` methods can be overridden or passed via the constructor to catch metadata and termination events respectively. Austin is considered to be ready when the first metadata event is received, and the `start` function returns, and it is considered to have terminated when the Austin process has terminated gracefully. If an error was encountered, the :class:`~austin.errors.AustinError` exception is thrown. """ BINARY = Path("austin").with_suffix(_EXE_EXT) MINIMUM_BINARY_VERSION: SemVer = (4, 0, 0) def __init__( self, sample_callback: Optional[Callable[[AustinSample], None]] = None, metadata_callback: Optional[Callable[[AustinMetadata], None]] = None, terminate_callback: Optional[Callable[[], None]] = None, ) -> None: """The ``BaseAustin`` constructor. The callbacks can be passed as arguments, if they are not defined/overridden in the definition of a sub-class. """ self._args: Optional[AustinArguments] = None self._meta: Dict[str, str] = {} if sample_callback is None and not hasattr(self, "on_sample"): msg = "No mandatory sample callback given or implemented." raise AustinError(msg) self._sample_callback = sample_callback or self.on_sample # type: ignore[attr-defined] self._metadata_callback = metadata_callback or getattr( self, "on_metadata", None ) self._terminate_callback = terminate_callback or getattr( self, "on_terminate", None ) self._state: AustinState = AustinState.NOT_STARTED @abstractmethod def start(self, args: Optional[List[str]] = None) -> Any: """Start Austin. Every subclass should implement this method and ensure that it spawns a new Austin process. """ ... def get_arguments(self) -> Optional[AustinArguments]: """Get the inferred command line. Return the command line of the (main) process that is being profiled by Austin. """ return self._args def is_running(self) -> bool: """Determine whether Austin is running.""" return self._state is AustinState.RUNNING @abstractmethod def terminate(self) -> Any: """Terminate Austin. Stop the underlying Austin process by sending a termination signal. """ ... @abstractmethod def wait(self) -> Any: """Wait for Austin to terminate. This method blocks until the Austin process has terminated. Returns the exit code of the Austin process. """ ... def _check_version(self) -> None: """Check for the minimum Austin binary version.""" austin_version = self.version if austin_version is None: raise AustinError("Cannot determine Austin version") if austin_version < self.MINIMUM_BINARY_VERSION: raise AustinError( f"Incompatible Austin version (got {austin_version}, expected >= {self.MINIMUM_BINARY_VERSION})" ) # ---- Properties ---- @functools.cached_property def binary_path(self) -> Path: """Discover the path of the Austin binary. Lookup order is: - current working directory - ``AUSTINPATH`` variable - ``~/.austinrc`` file - ``PATH`` variable. """ binary_name = self.BINARY # Try CWD binary_path = binary_name.resolve() if binary_path.is_file(): return binary_path # Try with AUSTINPATH variable austin_path = os.environ.get("AUSTINPATH", None) if austin_path: binary_path = Path(austin_path).expanduser().resolve() / binary_name if binary_path.is_file(): return binary_path # Try with .austinrc file if AustinConfiguration().binary is not None: binary_path = Path(AustinConfiguration().binary).expanduser().resolve() if binary_path.is_file(): return binary_path # Try from PATH return self.BINARY @functools.cached_property def version(self) -> SemVer: """Austin version.""" try: return _to_semver(self._meta.get("austin")) except KeyError as exc: raise AustinError("Austin version not set") from exc @functools.cached_property def python_version(self) -> SemVer: """The version of the detected Python interpreter.""" try: return _to_semver(self._meta.get("python")) except KeyError as exc: raise AustinError("Python version not set") from exc @property def state(self) -> AustinState: """The current state of Austin.""" return self._state austin_python-2.6.0/austin/cli.py0000644000000000000000000001722213615410400013773 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from argparse import REMAINDER from argparse import ArgumentParser from argparse import Namespace from dataclasses import dataclass from typing import Any from typing import Callable from typing import List from typing import NoReturn from typing import Optional from typing import Sequence from typing import cast from austin.errors import AustinError class AustinCommandLineError(AustinError): """Invalid Austin command line.""" pass @dataclass class AustinArguments(Namespace): """Austin command line arguments. This class is used to store the parsed command line arguments for Austin. It extends :class:`argparse.Namespace` to provide a structured way to access the command line options. """ pid: Optional[int] command: Optional[List[str]] children: bool exposure: Optional[int] full: bool interval: Optional[int] memory: bool cpu: bool timeout: Optional[int] class AustinArgumentParser(ArgumentParser): """Austin Command Line parser. This command line parser is based on :class:`argparse.ArgumentParser` and provides a minimal implementation for parsing the standard Austin command line. The bool arguments of the constructor are used to specify whether the corresponding Austin option should be parsed or not. For example, if your application doesn't need the possiblity of switching to the alternative format, you can exclude this option with ``alt_format=False``. Note that al least one between ``pid`` and ``command`` is required, but they cannot be used together when invoking Austin. """ def __init__( self, name: str = "austin", children: bool = True, exposure: bool = True, full: bool = True, interval: bool = True, memory: bool = True, pid: bool = True, cpu: bool = True, timeout: bool = True, command: bool = True, **kwargs: Any, ) -> None: super().__init__(prog=name, **kwargs) def time(units: str) -> Callable[[str], int]: """Parse time argument with units.""" base = int({"us": 1, "ms": 1e3, "s": 1e6}[units]) def parser(arg: str) -> int: if arg.endswith("us"): return int(arg[:-2]) // base if arg.endswith("ms"): return int(arg[:-2]) * 1000 // base if arg.endswith("s"): return int(arg[:-1]) * 1000000 // base return int(arg) return parser if not (pid and command): raise AustinCommandLineError( "Austin command line parser must have at least one between pid " "and command." ) if children: self.add_argument( "-C", "--children", help="Attach to child processes.", action="store_true", ) if exposure: self.add_argument( "-x", "--exposure", help="Sample for the given number of seconds only.", type=time("s"), default=None, ) if full: self.add_argument( "-f", "--full", help="Produce the full set of metrics (time +mem -mem).", action="store_true", ) if interval: self.add_argument( "-i", "--interval", help="Sampling interval (default is 100 μs).", type=time("us"), ) if memory: self.add_argument( "-m", "--memory", help="Profile memory usage.", action="store_true" ) if pid: self.add_argument( "-p", "--pid", help="The the ID of the process to which Austin should attach.", type=int, ) if cpu: self.add_argument( "-c", "--cpu", help="Capture on-CPU stacks only.", action="store_true" ) if timeout: self.add_argument( "-t", "--timeout", help="Approximate start up wait time. Increase on slow machines " "(default is 100 ms).", type=time("ms"), ) if command: self.add_argument( "command", type=str, nargs=REMAINDER, help="The command to execute if no PID is provided, followed by " "its arguments.", ) def parse_args( # type: ignore[override] self, args: Optional[Sequence[str]] = None, namespace: Optional[Namespace] = None, ) -> AustinArguments: """Parse the list of arguments. Return a :class:`AustinArguments` with the parsed result. If no PID nor a command are passed, an instance of the :class:`AustinCommandLineError` exception is thrown. """ parsed_austin_args, unparsed = super().parse_known_args(args, namespace) if unparsed: raise AustinCommandLineError( f"Some arguments were left unparsed: {unparsed}" ) if not parsed_austin_args.pid and not parsed_austin_args.command: raise AustinCommandLineError("No PID or command given.") return cast(AustinArguments, parsed_austin_args) def exit(self, status: int = 0, message: Optional[str] = None) -> NoReturn: """Raise exception on error.""" raise AustinCommandLineError(message, status) @staticmethod def to_list(args: Namespace) -> List[str]: """Convert a :class:`argparse.Namespace` to a list of arguments. This is the opposite of the parsing of the command line. This static method is intended to filter and reconstruct the command line arguments that need to be passed to lower level APIs to start the actual Austin process. """ arg_list = [] if getattr(args, "children", None): arg_list.append("-C") if getattr(args, "full", None): arg_list.append("-f") if getattr(args, "interval", None): arg_list += ["-i", str(args.interval)] if getattr(args, "memory", None): arg_list.append("-m") if getattr(args, "pid", None): arg_list += ["-p", str(args.pid)] if getattr(args, "cpu", None): arg_list.append("-c") if getattr(args, "timeout", None): arg_list += ["-t", str(args.timeout)] if getattr(args, "command", None): arg_list += args.command return arg_list austin_python-2.6.0/austin/config.py0000644000000000000000000000405313615410400014467 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import os.path from typing import Any from typing import Dict import toml class AustinConfigurationError(Exception): """Austin configuration error.""" pass class AustinConfiguration: """Austin configuration borg.""" RC = os.path.join(os.path.expanduser("~"), ".austinrc") __borg__: Dict[str, Any] = {} def __init__(self) -> None: self.__dict__ = self.__borg__ self.reload() def reload(self) -> None: """Reload the configuration from the run-control file.""" try: with open(self.RC) as fin: self._data = toml.load(fin) except FileNotFoundError: self._data = {} def save(self) -> None: """Save the current configuration to file.""" try: with open(self.RC, "w") as fout: toml.dump(self._data, fout) except Exception as e: raise AustinConfigurationError("Unable to save Austin configuration") from e @property def binary(self) -> str: """Get the Austin binary path.""" return self._data.get("binary", None) austin_python-2.6.0/austin/errors.py0000644000000000000000000000202613615410400014534 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . class AustinError(Exception): """Basic Austin Error.""" pass austin_python-2.6.0/austin/events.py0000644000000000000000000001145613615410400014533 0ustar00import typing as t from dataclasses import dataclass ProcessId = int ThreadName = str InterpreterId = int MicroSeconds = int Bytes = int @dataclass(frozen=True) class AustinFrame: """Python frame.""" filename: str function: str line: int line_end: t.Optional[int] = None column: t.Optional[int] = None column_end: t.Optional[int] = None @dataclass(frozen=True) class AustinMetrics: """Austin metric.""" time: t.Optional[MicroSeconds] = None memory: t.Optional[Bytes] = None @dataclass(frozen=True) class AustinEvent: """Base class for Austin events.""" pass @dataclass(frozen=True) class AustinMetadata(AustinEvent): """Austin metadata.""" name: str value: str @dataclass(frozen=True) class AustinTask: """A node in an asyncio task tree (3.14+ only). ``frames`` is this task's last-known position: its coroutine chain if it was suspended, or the frames it was running if it was running. ``awaiting`` are the tasks this task is itself awaiting, i.e. the tasks for which this task is the direct waiter. This is the structure of the tree only. The time tasks spend at their positions is carried by AustinTaskReport (see AustinSample.task_reports) and, while they are running, by the samples they are running at (see AustinSample.running_task). """ task_id: int name: t.Optional[str] frames: t.Tuple[AustinFrame, ...] = () awaiting: t.Tuple["AustinTask", ...] = () @dataclass(frozen=True) class AustinTaskReport: """A report of a task's position (3.14+ only). Austin only reports a task's position when it has changed. ``frames`` is the task's new position, and ``elapsed`` is how long the task was *suspended* at its ``previous`` one, which this report replaces -- the earliest point at which that duration could be known at all. Austin doesn't report it: readers work it out as the time of the task's thread's samples while the task held that position without running. It is await time only: the time a task spends running is the time of the samples it is running at (see AustinSample.running_task). Always 0 in CPU mode, where a suspended task uses no CPU. ``previous`` is None on a task's first report, which has no previous position (and so ``elapsed`` is 0). A report with no ``frames`` closes the task: it is gone, and ``elapsed`` is the time at its last position. At the end of a stream, each task still alive gets a report with ``frames`` equal to ``previous``, carrying the time it has spent at its position since. Each report is attached to exactly one sample, so summing ``elapsed`` over every sample's reports counts each duration once. """ task_id: int name: t.Optional[str] frames: t.Tuple[AustinFrame, ...] previous: t.Optional[t.Tuple[AustinFrame, ...]] elapsed: MicroSeconds @property def closing(self) -> bool: """Whether this report closes the task.""" return not self.frames @dataclass(frozen=True) class AustinSample(AustinEvent): """Austin sample.""" Key = t.Tuple[ ProcessId, t.Optional[InterpreterId], ThreadName, t.Optional[t.Tuple[AustinFrame, ...]], t.Optional[bool], t.Optional[bool], ] pid: ProcessId iid: t.Optional[InterpreterId] thread: ThreadName metrics: AustinMetrics frames: t.Optional[t.Tuple[AustinFrame, ...]] = None gc: t.Optional[bool] = None idle: t.Optional[bool] = None # The live tasks owned by this sample's thread, as of this sample. tasks: t.Tuple[AustinTask, ...] = () # The task reports that came with this sample, each one exactly once. task_reports: t.Tuple[AustinTaskReport, ...] = () # The task this sample's thread was running, if any. The sample's metrics # then belong to that task too, at its latest position (see AustinTask). running_task: t.Optional[int] = None def key( self, ) -> "AustinSample.Key": """Return a key for this sample.""" return ( self.pid, self.iid, self.thread, self.frames, self.gc, self.idle, ) @classmethod def from_key_and_metrics( cls, key: "AustinSample.Key", metrics: AustinMetrics ) -> "AustinSample": """Create a sample from a key.""" return cls( pid=key[0], iid=key[1], thread=key[2], frames=key[3], gc=key[4], idle=key[5], metrics=metrics, ) class AustinEventIterator: """Base class for Austin event iterators.""" def __iter__(self) -> t.Iterator[AustinEvent]: """Return an iterator over Austin events.""" raise NotImplementedError("Subclasses must implement __iter__ method.") austin_python-2.6.0/austin/query.py0000644000000000000000000017166513615410400014405 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2026 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . """Query Austin profiles. The :class:`ProfileQuery` class takes the events produced by any Austin event iterator (e.g. a MOJO or a collapsed stack file reader) and answers the most common questions about a profile, such as which functions are the hottest, what the sampled stacks are, or who calls a given function:: from austin.query import ProfileQuery q = ProfileQuery.from_file("profile.mojo") print(q.summary()) print(q.top(10)) print(q.callers("db.py:execute")) print(q.filter(thread="main").tree(min_pct=5)) Every query returns a result object that renders as a compact text table when printed, and that can be converted to JSON-ready data with ``to_dict()``. Frames are referred to by *selectors*. A selector is either - a string of the form ``function``, ``file:function`` or ``file:function:line``, where ``file`` matches any path suffix and ``function`` also matches qualified names ending in ``.function``; - a string ``re:``, matched against ``file:function:line``; - a :class:`Location` or an :class:`austin.events.AustinFrame`; - a predicate over :class:`austin.events.AustinFrame` objects. When a selector matches more than one function, the query aggregates over all of them and reports what it matched. Totals are recursion-safe: a function that appears more than once in a stack counts that stack only once. In asyncio profiles, the stack of a sample in which a task was running is the thread stack followed by the running task's frames, i.e. the stack of the code that was actually running. Use :meth:`ProfileQuery.tasks` for the task tree, and the ``task`` filter for the samples in which a given task was running. Rendered results show shortened file paths, relative to the ``pythonpath``, ``cwd`` and ``venv`` metadata when the profile has them, or to the ``site-packages`` and standard library folders otherwise. Shortened paths are still valid selectors. The data returned by ``to_dict()`` uses full paths. """ import gc import re import typing as t from collections import Counter from collections import defaultdict from copy import copy from dataclasses import dataclass from dataclasses import field from dataclasses import fields from dataclasses import is_dataclass from dataclasses import replace from difflib import get_close_matches from pathlib import Path from austin.events import AustinEvent from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinSample from austin.events import AustinTask from austin.events import ProcessId from austin.events import ThreadName from austin.format import open_profile from austin.stats import AustinStats from austin.stats import AustinStatsType from austin.stats import FrameStats from austin.stats import HierarchicalStats from austin.stats import ThreadStats from austin.stats import sample_metric TIME_METRICS = frozenset({AustinStatsType.WALL, AustinStatsType.CPU}) MODE_METRICS: t.Dict[str, t.Tuple[AustinStatsType, ...]] = { "wall": (AustinStatsType.WALL,), "cpu": (AustinStatsType.CPU,), "memory": (AustinStatsType.MEMORY_ALLOC, AustinStatsType.MEMORY_DEALLOC), "full": ( AustinStatsType.WALL, AustinStatsType.CPU, AustinStatsType.MEMORY_ALLOC, AustinStatsType.MEMORY_DEALLOC, ), } METRIC_ALIASES: t.Dict[str, AustinStatsType] = { **{_.value: _ for _ in AustinStatsType}, "memory": AustinStatsType.MEMORY_ALLOC, "alloc": AustinStatsType.MEMORY_ALLOC, "dealloc": AustinStatsType.MEMORY_DEALLOC, } @dataclass(frozen=True) class Location: """A code location. The ``line`` is ``None`` when the location refers to a whole function. The string representation can be used as a selector. """ filename: str function: str line: t.Optional[int] = None def __str__(self) -> str: """Render as text.""" if not self.filename: return self.function if self.line is None: return f"{self.filename}:{self.function}" return f"{self.filename}:{self.function}:{self.line}" @classmethod def from_frame(cls, frame: AustinFrame, lines: bool = False) -> "Location": """Get the location of a frame, optionally with line granularity.""" return cls(frame.filename, frame.function, frame.line if lines else None) # Pseudo-locations #: The caller of the outermost frames ROOT = Location("", "") #: The own share of a function among its callees SELF = Location("", "") ALL = Location("", "") # The root of a call tree over the whole profile Selector = t.Union[str, Location, AustinFrame, t.Callable[[AustinFrame], bool]] FrameMatcher = t.Callable[[AustinFrame], bool] TaskSelector = t.Union[int, str, t.Callable[[AustinTask], bool]] class NoMatchError(LookupError): """Raised when a selector does not match any frame.""" def _is_path(s: str) -> bool: return "/" in s or "\\" in s or s.endswith(".py") def _parse_selector( selector: str, ) -> t.Tuple[t.Optional[str], t.Optional[str], t.Optional[int]]: """Split a string selector into file, function and line parts.""" line = None head, sep, tail = selector.rpartition(":") if sep and tail.isdigit(): line = int(tail) selector = head head, sep, tail = selector.rpartition(":") if sep and tail and not _is_path(tail): return head or None, tail, line # No function part, e.g. "app/db.py" or "C:\app\db.py" if _is_path(selector): return selector, None, line return None, selector, line def matcher(selector: Selector) -> FrameMatcher: """Turn a selector into a frame predicate.""" if isinstance(selector, AustinFrame): selector = Location.from_frame(selector, lines=True) if isinstance(selector, Location): location = selector return lambda f: ( f.filename == location.filename and f.function == location.function and (location.line is None or f.line == location.line) ) if not isinstance(selector, str): return selector if selector.startswith("re:"): pattern = re.compile(selector[3:]) return lambda f: ( pattern.search(f"{f.filename}:{f.function}:{f.line}") is not None ) filename, function, line = _parse_selector(selector) def match(frame: AustinFrame) -> bool: if filename is not None and not ( frame.filename == filename or frame.filename.endswith(("/" + filename, "\\" + filename)) ): return False if function is not None and not ( frame.function == function or frame.function.endswith("." + function) ): return False return line is None or frame.line == line return match SITE_PACKAGES_ROOT = re.compile(r"^(.*[/\\](?:site|dist)-packages)[/\\]") STDLIB_ROOT = re.compile(r"^(.*[/\\](?:lib[/\\]python\d+(?:\.\d+)?t?|Lib))[/\\]") WINDOWS_DRIVE = re.compile(r"^[A-Za-z]:[/\\]") def _is_absolute(path: str) -> bool: return path.startswith(("/", "\\")) or WINDOWS_DRIVE.match(path) is not None def _is_path_suffix(suffix: str, path: str) -> bool: return path == suffix or path.endswith(("/" + suffix, "\\" + suffix)) class PathShortener: """Shorten file paths for display. Each path is made relative to the longest root that contains it. Roots are the ``pythonpath`` entries, the ``cwd`` and the ``venv`` from the profile metadata, when available, and the ``site-packages`` and standard library folders of Python source files. Shortened paths are then extended as needed so that none of them is a path suffix of another file, which makes them usable as selectors. """ def __init__( self, filenames: t.Iterable[str], metadata: t.Mapping[str, str] ) -> None: cwd = metadata.get("cwd") pythonpath = metadata.get("pythonpath", "") sep = ";" if ";" in pythonpath or WINDOWS_DRIVE.match(pythonpath) else ":" roots = [] for entry in filter(None, pythonpath.split(sep)): if _is_absolute(entry): roots.append(entry) elif cwd: dirsep = "\\" if "\\" in cwd else "/" roots.append(cwd.rstrip(dirsep) + dirsep + entry) roots.extend(_ for _ in (cwd, metadata.get("venv")) if _) self._roots = [r.rstrip("/\\") for r in roots if r.rstrip("/\\")] short = {f: self._strip(f) for f in set(filenames)} by_basename: t.Dict[str, t.List[str]] = defaultdict(list) for f in short: by_basename[re.split(r"[/\\]", f)[-1]].append(f) for group in by_basename.values(): for f in group if len(group) > 1 else (): s = short[f] while s != f and any(_is_path_suffix(s, g) for g in group if g != f): start = len(f) - len(s) - 1 # The separator before s s = f[max(f.rfind("/", 0, start), f.rfind("\\", 0, start)) + 1 :] short[f] = s self._short = short def _strip(self, filename: str) -> str: root = "" for r in self._roots: if ( len(r) > len(root) and filename.startswith(r) and filename[len(r) : len(r) + 1] in {"/", "\\"} ): root = r if filename.endswith(".py"): for pattern in (SITE_PACKAGES_ROOT, STDLIB_ROOT): m = pattern.match(filename) if m is not None and len(m.group(1)) > len(root): root = m.group(1) return filename[len(root) + 1 :] if root else filename def __call__(self, filename: str) -> str: """Shorten a file path.""" return self._short.get(filename, filename) def _keep_path(filename: str) -> str: return filename def _format_value(value: int, metric: AustinStatsType) -> str: if metric in TIME_METRICS: if value < 1_000: return f"{value}µs" if value < 1_000_000: return f"{value / 1e3:.1f}ms" return f"{value / 1e6:.2f}s" for unit in ("B", "KiB", "MiB"): if value < 1024: return f"{value:.0f}{unit}" if unit == "B" else f"{value:.1f}{unit}" value /= 1024 # type: ignore[assignment] return f"{value:.1f}GiB" def _pct(value: int, total: int) -> float: return 100 * value / total if total else 0.0 def _jsonable(obj: t.Any) -> t.Any: if isinstance(obj, Location): return str(obj) if isinstance(obj, AustinStatsType): return obj.value if isinstance(obj, float): return round(obj, 2) if is_dataclass(obj) and not isinstance(obj, type): return { f.name: _jsonable(getattr(obj, f.name)) for f in fields(obj) if f.metadata.get("json", True) } if isinstance(obj, (list, tuple)): return [_jsonable(_) for _ in obj] if isinstance(obj, dict): return {str(k): _jsonable(v) for k, v in obj.items()} return obj def _table(header: t.Sequence[str], rows: t.Iterable[t.Sequence[str]]) -> str: """Render a table with right-aligned columns, except for the last one.""" rows = [header, *rows] widths = [max(len(row[i]) for row in rows) for i in range(len(header) - 1)] return "\n".join( " ".join([*(c.rjust(w) for c, w in zip(row, widths)), row[-1]]).rstrip() for row in rows ) @dataclass(frozen=True) class _Result: """Base class for query results.""" metric: AustinStatsType profile_total: int profile_samples: int paths: t.Callable[[str], str] = field( default=_keep_path, compare=False, repr=False, kw_only=True, metadata={"json": False}, ) def fmt(self, value: int) -> str: """Format a metric value with its unit.""" return _format_value(value, self.metric) def label(self, location: Location) -> str: """Format a location with a shortened path.""" if not location.filename: return str(location) return str( Location(self.paths(location.filename), location.function, location.line) ) def header(self, *extra: str) -> str: return " · ".join( ( f"metric: {self.metric.value}", f"total: {self.fmt(self.profile_total)}", f"samples: {self.profile_samples:,}", *extra, ) ) def render(self) -> str: """Render the result as text.""" raise NotImplementedError() def __str__(self) -> str: """Render as text.""" return self.render() def to_dict(self) -> t.Dict[str, t.Any]: """Convert the result to JSON-ready data.""" return _jsonable(self) @dataclass(frozen=True) class TopEntry: """Own and total metric values of a location.""" location: Location own: int total: int own_samples: int total_samples: int own_pct: float total_pct: float @dataclass(frozen=True) class TopResult(_Result): """A list of locations with their own and total metric values.""" entries: t.Tuple[TopEntry, ...] matched: t.Tuple[Location, ...] = () def __iter__(self) -> t.Iterator[TopEntry]: """Iterate over the entries.""" return iter(self.entries) def __len__(self) -> int: """Return the number of entries.""" return len(self.entries) def __getitem__(self, i: int) -> TopEntry: """Get an entry by index.""" return self.entries[i] def render(self) -> str: extra = (f"matched: {len(self.matched)}",) if self.matched else () return "\n".join( ( self.header(*extra), _table( ("own", "own%", "total", "total%", "samples", "location"), ( ( self.fmt(e.own), f"{e.own_pct:.1f}%", self.fmt(e.total), f"{e.total_pct:.1f}%", f"{e.total_samples:,}", self.label(e.location), ) for e in self.entries ), ), ) ) @dataclass(frozen=True) class Stack: """A distinct stack, root first, with its own metric value. The ``pid`` and ``thread`` are only set when stacks are kept separate per thread. """ frames: t.Tuple[Location, ...] value: int samples: int pct: float pid: t.Optional[ProcessId] = None thread: t.Optional[ThreadName] = None @dataclass(frozen=True) class StacksResult(_Result): """A list of distinct stacks, heaviest first.""" entries: t.Tuple[Stack, ...] count: int # Number of distinct stacks before truncation def __iter__(self) -> t.Iterator[Stack]: """Iterate over the entries.""" return iter(self.entries) def __len__(self) -> int: """Return the number of entries.""" return len(self.entries) def __getitem__(self, i: int) -> Stack: """Get an entry by index.""" return self.entries[i] def render(self) -> str: lines = [self.header(f"stacks: {len(self.entries):,} of {self.count:,}")] for stack in self.entries: where = ( f" [pid {stack.pid}, thread {stack.thread}]" if stack.thread is not None else "" ) lines.append( f"\n{self.fmt(stack.value)} {stack.pct:.1f}% " f"({stack.samples:,} samples){where}" ) lines.extend(f" {self.label(frame)}" for frame in stack.frames) if not stack.frames: lines.append(" ") return "\n".join(lines) @dataclass(frozen=True) class Edge: """A caller or callee of the matched frames. The ``pct`` is relative to the profile total, the ``share`` to the total of the matched frames. """ location: Location value: int samples: int pct: float share: float @dataclass(frozen=True) class Neighbours(_Result): """The callers or callees of the matched frames. Callers include :data:`ROOT` when the matched frames are the outermost in a stack. Callees include :data:`SELF` for the own value of the matched frames. """ kind: str # "callers" or "callees" matched: t.Tuple[Location, ...] own: int total: int samples: int entries: t.Tuple[Edge, ...] def __iter__(self) -> t.Iterator[Edge]: """Iterate over the entries.""" return iter(self.entries) def __len__(self) -> int: """Return the number of entries.""" return len(self.entries) def __getitem__(self, i: int) -> Edge: """Get an entry by index.""" return self.entries[i] def render(self) -> str: target = ( self.label(self.matched[0]) if len(self.matched) == 1 else f"{len(self.matched)} locations" ) lines = [ self.header(), f"{self.kind} of {target} · " f"own: {self.fmt(self.own)} ({_pct(self.own, self.profile_total):.1f}%) · " f"total: {self.fmt(self.total)} " f"({_pct(self.total, self.profile_total):.1f}%) · " f"samples: {self.samples:,}", ] if len(self.matched) > 1: lines.extend(f" matched: {self.label(m)}" for m in self.matched) lines.append( _table( ("value", "pct", "share", "samples", "location"), ( ( self.fmt(e.value), f"{e.pct:.1f}%", f"{e.share:.1f}%", f"{e.samples:,}", self.label(e.location), ) for e in self.entries ), ) ) return "\n".join(lines) @dataclass class CallNode: """A node in a call tree.""" location: Location own: int total: int samples: int pct: float children: t.List["CallNode"] = field(default_factory=list) @dataclass(frozen=True) class CallTree(_Result): """A call tree, merged across processes and threads. Children below the ``min_pct`` threshold, or deeper than ``max_depth``, are pruned. """ root: CallNode matched: t.Tuple[Location, ...] = () def render(self) -> str: extra = (f"matched: {len(self.matched)}",) if self.matched else () rows = [] stack = [(self.root, 0)] while stack: node, depth = stack.pop() rows.append( ( self.fmt(node.total), f"{node.pct:.1f}%", self.fmt(node.own), " " * depth + self.label(node.location), ) ) stack.extend((c, depth + 1) for c in reversed(node.children)) return "\n".join( (self.header(*extra), _table(("total", "total%", "own", "location"), rows)) ) def to_dict(self) -> t.Dict[str, t.Any]: # Convert the tree iteratively, as it can be deeper than the recursion # limit. data: t.Dict[str, t.Any] = { "metric": self.metric.value, "profile_total": self.profile_total, "profile_samples": self.profile_samples, "matched": _jsonable(self.matched), } def node_dict(node: CallNode) -> t.Dict[str, t.Any]: return { "location": str(node.location), "own": node.own, "total": node.total, "samples": node.samples, "pct": round(node.pct, 2), "children": [], } data["root"] = root = node_dict(self.root) stack = [(self.root, root)] while stack: node, d = stack.pop() for child in node.children: cd = node_dict(child) d["children"].append(cd) stack.append((child, cd)) return data @dataclass(frozen=True) class MetricSummary: """The total of a metric over the profile.""" metric: AustinStatsType total: int samples: int @dataclass(frozen=True) class ThreadSummary: """The total of the default metric for a thread.""" pid: ProcessId iid: int thread: ThreadName total: int samples: int pct: float @dataclass(frozen=True) class Summary(_Result): """An overview of a profile.""" mode: str metadata: t.Dict[str, str] metrics: t.Tuple[MetricSummary, ...] threads: t.Tuple[ThreadSummary, ...] def render(self) -> str: lines = [f"mode: {self.mode} · samples: {self.profile_samples:,}"] lines.extend(f"{k}: {v}" for k, v in self.metadata.items() if k != "mode") lines.append("") lines.append( _table( ("total", "samples", "metric"), ( ( _format_value(m.total, m.metric), f"{m.samples:,}", m.metric.value, ) for m in self.metrics ), ) ) lines.append("") lines.append(f"threads by {self.metric.value}:") lines.append( _table( ("total", "pct", "samples", "pid", "iid", "thread"), ( ( self.fmt(th.total), f"{th.pct:.1f}%", f"{th.samples:,}", str(th.pid), str(th.iid), th.thread, ) for th in self.threads ), ) ) return "\n".join(lines) @dataclass class TaskNode: """A node in an asyncio task tree. ``running`` is the value of the samples in which the task was running, and ``awaiting`` the wall time it was alive without running, which is 0 for every other metric. In wall time, ``total`` is the time the task was alive, which already includes the time it spent awaiting its children. For every other metric, it is the value of the task and of every task it awaited. """ task_id: int name: t.Optional[str] pid: ProcessId thread: ThreadName running: int awaiting: int total: int pct: float children: t.List["TaskNode"] = field(default_factory=list) @dataclass(frozen=True) class TasksResult(_Result): """The asyncio task trees of a profile, one per root task. A task is a child of the task that awaits it, and the roots are grouped by the thread that owns them. """ roots: t.Tuple[TaskNode, ...] def __iter__(self) -> t.Iterator[TaskNode]: """Iterate over the root tasks.""" return iter(self.roots) def __len__(self) -> int: """Return the number of root tasks.""" return len(self.roots) def __getitem__(self, i: int) -> TaskNode: """Get a root task by index.""" return self.roots[i] def render(self) -> str: wall = self.metric is AustinStatsType.WALL header = ( "total", "total%", "running", *(("awaiting",) if wall else ()), "task", ) rows = [] where = None for root in self.roots: if (root.pid, root.thread) != where: where = (root.pid, root.thread) rows.append( ("",) * (len(header) - 1) + (f"[pid {root.pid}, thread {root.thread}]",) ) stack = [(root, 0)] while stack: node, depth = stack.pop() name = node.name if node.name is not None else "" rows.append( ( self.fmt(node.total), f"{node.pct:.1f}%", self.fmt(node.running), *((self.fmt(node.awaiting),) if wall else ()), " " * depth + f"{name} #{node.task_id}", ) ) stack.extend((c, depth + 1) for c in reversed(node.children)) count = sum(1 for _ in self._nodes()) return "\n".join((self.header(f"tasks: {count:,}"), _table(header, rows))) def _nodes(self) -> t.Iterator[TaskNode]: stack = list(self.roots) while stack: node = stack.pop() yield node stack.extend(node.children) @dataclass(frozen=True) class TaskStack: """A distinct task position, root first, with the value spent there. ``running`` is the value of the samples in which a task was running at the position, and ``awaiting`` the wall time a task was suspended there, which is 0 for every other metric. ``value`` is their sum. """ frames: t.Tuple[Location, ...] value: int running: int awaiting: int samples: int pct: float @dataclass(frozen=True) class TaskStacksResult(_Result): """The positions of the matched tasks, heaviest first. Concurrent tasks are alive at the same time, so in wall time the values of their positions can add up to more than the profile total. """ entries: t.Tuple[TaskStack, ...] count: int # Number of distinct positions before truncation matched: t.Tuple[str, ...] # The matched tasks, as "name #id" def __iter__(self) -> t.Iterator[TaskStack]: """Iterate over the entries.""" return iter(self.entries) def __len__(self) -> int: """Return the number of entries.""" return len(self.entries) def __getitem__(self, i: int) -> TaskStack: """Get an entry by index.""" return self.entries[i] def render(self) -> str: wall = self.metric is AustinStatsType.WALL tasks = self.matched[0] if len(self.matched) == 1 else f"{len(self.matched):,}" lines = [ self.header( f"tasks: {tasks}", f"positions: {len(self.entries):,} of {self.count:,}", ) ] if wall and sum(e.value for e in self.entries) > self.profile_total: lines.append( "note: concurrent tasks overlap in time, so these values add up " "to more than the profile total" ) for stack in self.entries: split = f"running {self.fmt(stack.running)}" if wall: split += f", awaiting {self.fmt(stack.awaiting)}" lines.append( f"\n{self.fmt(stack.value)} {stack.pct:.1f}% ({split}; " f"{stack.samples:,} samples)" ) lines.extend(f" {self.label(frame)}" for frame in stack.frames) if not stack.frames: lines.append(" ") return "\n".join(lines) def _own_samples(node: HierarchicalStats) -> int: return node.samples - sum(c.samples for c in node.children.values()) def _walk(roots: t.Iterable[FrameStats]) -> t.Iterator[t.Tuple[FrameStats, bool]]: """Traverse the given stats trees depth-first. Each node is yielded as ``(node, True)`` on entry and ``(node, False)`` on exit. The traversal is iterative because stacks can be deeper than the recursion limit. """ stack: t.List[t.Tuple[FrameStats, bool]] = [(r, True) for r in roots] while stack: node, entering = stack.pop() yield node, entering if entering: stack.append((node, False)) stack.extend((c, True) for c in node.children.values()) def _matches_running( sample: AustinSample, match: t.Callable[[AustinTask], bool] ) -> bool: task = _running_task(sample) return task is not None and match(task) def _iter_tasks(tasks: t.Iterable[AustinTask]) -> t.Iterator[AustinTask]: """Iterate over the tasks of task trees, waiters before the tasks they await.""" stack = list(tasks) while stack: task = stack.pop() yield task stack.extend(task.awaiting) def _running_task(sample: AustinSample) -> t.Optional[AustinTask]: """Get the task the thread of a sample was running, if any.""" if sample.running_task is None: return None return next( (_ for _ in _iter_tasks(sample.tasks) if _.task_id == sample.running_task), None, ) def _stitch(sample: AustinSample) -> AustinSample: """Append the frames of the running task, if any, to the thread stack. Austin reports the frames of a running task as the task's position, not as part of its thread stack. Stitching them back gives the stack of the code that was actually running. """ task = _running_task(sample) if task is None or not task.frames: return sample return replace(sample, frames=(*(sample.frames or ()), *task.frames)) def task_matcher(selector: TaskSelector) -> t.Callable[[AustinTask], bool]: """Turn a task selector into a task predicate. A task selector is a task ID, a task name, a string ``re:`` matched against task names, or a predicate over :class:`austin.events.AustinTask` objects. """ if isinstance(selector, int): return lambda task: task.task_id == selector if not isinstance(selector, str): return selector if selector.startswith("re:"): pattern = re.compile(selector[3:]) return lambda task: ( task.name is not None and pattern.search(task.name) is not None ) return lambda task: task.name == selector class ProfileQuery: """Query an Austin profile. The profile is given as a stream of Austin events, e.g. from a ``austin.format.mojo.MojoStreamReader``. Queries take an optional ``metric``, which defaults to the metric of the profile mode, or wall time for full-mode profiles. Use :meth:`filter` to narrow a profile down before querying it. Percentages are relative to the total of the queried profile. Rendered results show shortened paths, unless ``short_paths`` is false. """ def __init__( self, events: t.Iterable[AustinEvent], *, short_paths: bool = True ) -> None: self.metadata: t.Dict[str, str] = {} samples = [] # Loading creates many objects, but no reference cycles, so the cyclic # garbage collector would only slow it down. gc_enabled = gc.isenabled() gc.disable() try: for event in events: if isinstance(event, AustinMetadata): self.metadata[event.name] = event.value elif isinstance(event, AustinSample): samples.append(_stitch(event)) finally: if gc_enabled: gc.enable() self.samples: t.Tuple[AustinSample, ...] = tuple(samples) mode = self.metadata.get("mode") if mode not in MODE_METRICS: has_time = any(s.metrics.time is not None for s in self.samples) has_memory = any(s.metrics.memory is not None for s in self.samples) if has_time and has_memory: mode = "full" else: mode = "memory" if has_memory else "wall" self.mode: str = mode self._stats: t.Dict[AustinStatsType, AustinStats] = {} self._paths: t.Optional[t.Callable[[str], str]] = ( None if short_paths else _keep_path ) @property def paths(self) -> t.Callable[[str], str]: """The path shortener used to render results.""" if self._paths is None: self._paths = PathShortener( (f.filename for s in self.samples for f in s.frames or ()), self.metadata, ) return self._paths @classmethod def from_file( cls, path: t.Union[str, Path], *, short_paths: bool = True ) -> "ProfileQuery": """Load a profile from a MOJO or a collapsed stack file.""" with open_profile(path) as events: return cls(events, short_paths=short_paths) @property def metrics(self) -> t.Tuple[AustinStatsType, ...]: """The metrics available in the profile.""" return MODE_METRICS[self.mode] def metric( self, metric: t.Union[None, str, AustinStatsType] = None ) -> AustinStatsType: """Resolve a metric name, defaulting to the metric of the profile.""" if metric is None: return self.metrics[0] if isinstance(metric, str): try: metric = METRIC_ALIASES[metric.lower()] except KeyError: raise ValueError( f"Unknown metric {metric!r}; " f"expected one of {', '.join(sorted(METRIC_ALIASES))}" ) from None if metric not in self.metrics: raise ValueError( f"Metric {metric.value!r} not available in {self.mode} mode; " f"expected one of {', '.join(m.value for m in self.metrics)}" ) return metric def stats(self, metric: t.Union[None, str, AustinStatsType] = None) -> AustinStats: """Get the aggregated statistics of the profile for a metric.""" stats_type = self.metric(metric) try: return self._stats[stats_type] except KeyError: stats = self._stats[stats_type] = AustinStats(stats_type) # Most samples repeat a stack seen before, so merge each distinct # stack into the stats once, rather than once per sample. Key = t.Tuple[ProcessId, int, ThreadName, t.Tuple[AustinFrame, ...]] values: t.Dict[Key, t.List[int]] = {} for sample in self.samples: value = sample_metric(sample, stats_type) if not value: continue key = (sample.pid, sample.iid or 0, sample.thread, sample.frames or ()) try: acc = values[key] except KeyError: values[key] = [value, 1] else: acc[0] += value acc[1] += 1 for (pid, iid, thread, frames), (value, samples) in values.items(): stats.add_stack(pid, iid, thread, frames, value, samples) return stats def _threads( self, stats: AustinStats ) -> t.Iterator[t.Tuple[ProcessId, ThreadStats]]: for pid, process in stats.processes.items(): for thread in process.threads.values(): yield pid, thread def _roots(self, stats: AustinStats) -> t.Iterator[FrameStats]: for _, thread in self._threads(stats): yield from thread.children.values() def _totals(self, stats: AustinStats) -> t.Tuple[int, int]: total = samples = 0 for _, thread in self._threads(stats): total += thread.total samples += thread.samples return total, samples def _no_match(self, selector: Selector) -> NoMatchError: message = f"No frames match {selector!r}" if isinstance(selector, str): _, function, _ = _parse_selector(selector.removeprefix("re:")) functions = {f.function for s in self.samples for f in s.frames or ()} candidates = {name.rpartition(".")[-1]: name for name in functions} | { name: name for name in functions } close = get_close_matches(function or selector, candidates, n=5) if close: names = sorted({candidates[_] for _ in close}) message += f"; did you mean one of: {', '.join(names)}?" return NoMatchError(message) def _match_tasks(self, selector: TaskSelector) -> t.Callable[[AustinTask], bool]: """Get the predicate of a task selector, which must match some task.""" match = task_matcher(selector) names: t.Set[str] = set() for sample in self.samples: for task in _iter_tasks(sample.tasks): if match(task): return match if task.name is not None: names.add(task.name) message = f"No tasks match {selector!r}" if not names: message += "; the profile has no asyncio tasks" elif isinstance(selector, str): close = get_close_matches(selector.removeprefix("re:"), names, n=5) if close: message += f"; did you mean one of: {', '.join(sorted(close))}?" raise NoMatchError(message) def filter( self, *, pid: t.Optional[ProcessId] = None, thread: t.Optional[ThreadName] = None, iid: t.Optional[int] = None, idle: t.Optional[bool] = None, gc: t.Optional[bool] = None, contains: t.Optional[Selector] = None, task: t.Optional[TaskSelector] = None, where: t.Optional[t.Callable[[AustinSample], bool]] = None, ) -> "ProfileQuery": """Narrow the profile down to the samples that match all the criteria. ``contains`` keeps the samples with at least one frame matching the given selector. ``task`` keeps the samples in which a task matching the given task selector (see :func:`task_matcher`) was running, and raises :class:`NoMatchError` if no task matches it. Use :meth:`task_stacks` to see where tasks were awaiting too. ``where`` is an arbitrary sample predicate. """ match = matcher(contains) if contains is not None else None match_task = self._match_tasks(task) if task is not None else None def keep(s: AustinSample) -> bool: return ( (pid is None or s.pid == pid) and (thread is None or s.thread == thread) and (iid is None or (s.iid or 0) == iid) and (idle is None or bool(s.idle) is idle) and (gc is None or bool(s.gc) is gc) and (match is None or any(match(f) for f in s.frames or ())) and (match_task is None or _matches_running(s, match_task)) and (where is None or where(s)) ) query = copy(self) query._paths = self.paths # Keep paths consistent with the full profile query.samples = tuple(s for s in self.samples if keep(s)) query._stats = {} return query def summary(self) -> Summary: """Get an overview of the profile.""" metric = self.metric() stats = self.stats(metric) total, samples = self._totals(stats) return Summary( paths=self.paths, metric=metric, profile_total=total, profile_samples=len(self.samples), mode=self.mode, metadata=dict(self.metadata), metrics=tuple( MetricSummary(m, *self._totals(self.stats(m))) for m in self.metrics ), threads=tuple( sorted( ( ThreadSummary( pid=pid, iid=thread.label.iid, thread=thread.label.thread, total=thread.total, samples=thread.samples, pct=_pct(thread.total, total), ) for pid, thread in self._threads(stats) ), key=lambda th: th.total, reverse=True, ) ), ) def _flat( self, metric: t.Union[None, str, AustinStatsType], lines: bool, match: t.Optional[FrameMatcher] = None, ) -> t.Tuple[AustinStats, t.List[TopEntry], t.Set[Location]]: """Compute the own and total values of every (matching) location.""" stats = self.stats(metric) profile_total, _ = self._totals(stats) own: t.Counter[Location] = Counter() own_samples: t.Counter[Location] = Counter() total: t.Counter[Location] = Counter() total_samples: t.Counter[Location] = Counter() matched: t.Set[Location] = set() path: t.Counter[Location] = Counter() for node, entering in _walk(self._roots(stats)): frame = node.label if match is not None and not match(frame): continue key = Location.from_frame(frame, lines) if not entering: path[key] -= 1 continue if match is not None: matched.add(Location.from_frame(frame)) own[key] += node.own own_samples[key] += _own_samples(node) if not path[key]: total[key] += node.total total_samples[key] += node.samples path[key] += 1 entries = [ TopEntry( location=key, own=own[key], total=total[key], own_samples=own_samples[key], total_samples=total_samples[key], own_pct=_pct(own[key], profile_total), total_pct=_pct(total[key], profile_total), ) for key in total ] return stats, entries, matched def _top_result( self, stats: AustinStats, entries: t.Iterable[TopEntry], matched: t.Iterable[Location] = (), ) -> TopResult: total, samples = self._totals(stats) return TopResult( paths=self.paths, metric=stats.stats_type, profile_total=total, profile_samples=samples, entries=tuple(entries), matched=tuple(sorted(matched, key=str)), ) def top( self, n: t.Optional[int] = 20, *, metric: t.Union[None, str, AustinStatsType] = None, by: str = "own", lines: bool = False, ) -> TopResult: """Get the top ``n`` locations by ``own`` or ``total`` value. Locations are functions, or lines if ``lines`` is true. """ if by not in {"own", "total"}: raise ValueError(f"Invalid sort key {by!r}; expected 'own' or 'total'") stats, entries, _ = self._flat(metric, lines) entries.sort(key=lambda e: (getattr(e, by), e.total), reverse=True) return self._top_result(stats, entries[:n]) def find( self, selector: Selector, *, metric: t.Union[None, str, AustinStatsType] = None, lines: bool = False, ) -> TopResult: """Find the locations that match a selector, heaviest first. Use this to check what a selector matches before passing it to other queries. """ stats, entries, matched = self._flat(metric, lines, matcher(selector)) entries.sort(key=lambda e: (e.total, e.own), reverse=True) return self._top_result(stats, entries, matched) def lines( self, selector: Selector, *, metric: t.Union[None, str, AustinStatsType] = None, ) -> TopResult: """Get the line breakdown of the matched functions, heaviest first. The own value of a line is the time (or memory) spent on the line itself, the total value also includes what it calls. """ stats, entries, matched = self._flat(metric, True, matcher(selector)) if not matched: raise self._no_match(selector) entries.sort(key=lambda e: (e.total, e.own), reverse=True) return self._top_result(stats, entries, matched) def stacks( self, n: t.Optional[int] = None, *, metric: t.Union[None, str, AustinStatsType] = None, per_thread: bool = False, lines: bool = False, ) -> StacksResult: """Get the ``n`` heaviest distinct stacks. Stacks are merged across processes and threads unless ``per_thread`` is true. Frames are functions, or lines if ``lines`` is true. """ stats = self.stats(metric) profile_total, profile_samples = self._totals(stats) Key = t.Tuple[ t.Optional[ProcessId], t.Optional[ThreadName], t.Tuple[Location, ...] ] values: t.Counter[Key] = Counter() samples: t.Counter[Key] = Counter() for pid, thread in self._threads(stats): where = (pid, thread.label.thread) if per_thread else (None, None) if thread.own: values[(*where, ())] += thread.own samples[(*where, ())] += _own_samples(thread) path: t.List[Location] = [] for node, entering in _walk(thread.children.values()): if not entering: path.pop() continue path.append(Location.from_frame(node.label, lines)) if node.own: key = (*where, tuple(path)) values[key] += node.own samples[key] += _own_samples(node) ranked = sorted(values, key=lambda k: values[k], reverse=True) return StacksResult( paths=self.paths, metric=stats.stats_type, profile_total=profile_total, profile_samples=profile_samples, entries=tuple( Stack( frames=key[2], value=values[key], samples=samples[key], pct=_pct(values[key], profile_total), pid=key[0], thread=key[1], ) for key in ranked[:n] ), count=len(ranked), ) def _neighbours( self, kind: str, selector: Selector, metric: t.Union[None, str, AustinStatsType], lines: bool, ) -> Neighbours: stats = self.stats(metric) profile_total, profile_samples = self._totals(stats) match = matcher(selector) matched: t.Set[Location] = set() own = own_samples = total = total_samples = 0 values: t.Counter[Location] = Counter() samples: t.Counter[Location] = Counter() # Each path entry is (location, is a match, counted edge). Edges are # counted once per stack, so that recursion does not inflate them. path: t.List[t.Tuple[Location, bool, t.Optional[Location]]] = [] counted: t.Counter[Location] = Counter() depth = 0 # Number of matching frames in the current path for node, entering in _walk(self._roots(stats)): if not entering: _, is_match, edge = path.pop() depth -= is_match if edge is not None: counted[edge] -= 1 continue frame = node.label key = Location.from_frame(frame, lines) is_match = match(frame) edge = None if kind == "callers" and is_match: edge = path[-1][0] if path else ROOT elif kind == "callees" and path and path[-1][1]: edge = key if edge is not None: if not counted[edge]: values[edge] += node.total samples[edge] += node.samples counted[edge] += 1 if is_match: matched.add(Location.from_frame(frame, lines)) own += node.own own_samples += _own_samples(node) if not depth: total += node.total total_samples += node.samples depth += is_match path.append((key, is_match, edge)) if not matched: raise self._no_match(selector) if kind == "callees" and own: values[SELF] += own samples[SELF] += own_samples return Neighbours( paths=self.paths, metric=stats.stats_type, profile_total=profile_total, profile_samples=profile_samples, kind=kind, matched=tuple(sorted(matched, key=str)), own=own, total=total, samples=total_samples, entries=tuple( Edge( location=key, value=values[key], samples=samples[key], pct=_pct(values[key], profile_total), share=_pct(values[key], total), ) for key in sorted(values, key=lambda k: values[k], reverse=True) ), ) def callers( self, selector: Selector, *, metric: t.Union[None, str, AustinStatsType] = None, lines: bool = False, ) -> Neighbours: """Get the callers of the matched frames, heaviest first. The value of a caller is the total of the matched frames when called by it. """ return self._neighbours("callers", selector, metric, lines) def callees( self, selector: Selector, *, metric: t.Union[None, str, AustinStatsType] = None, lines: bool = False, ) -> Neighbours: """Get the callees of the matched frames, heaviest first. The value of a callee is its total when called by the matched frames. """ return self._neighbours("callees", selector, metric, lines) def tree( self, root: t.Optional[Selector] = None, *, metric: t.Union[None, str, AustinStatsType] = None, max_depth: t.Optional[int] = None, min_pct: float = 1.0, lines: bool = False, ) -> CallTree: """Get the call tree of the profile, merged across threads. If ``root`` is given, the tree is rooted at the matched frames instead, merging the subtrees of their outermost occurrences in each stack. Nodes whose total is below ``min_pct`` percent of the profile total, or that are deeper than ``max_depth``, are pruned. """ stats = self.stats(metric) profile_total, profile_samples = self._totals(stats) @dataclass class Acc: own: int = 0 total: int = 0 samples: int = 0 children: t.Dict[Location, "Acc"] = field(default_factory=dict) top = Acc() def merge(src: FrameStats, dst: Acc) -> None: stack = [(src, dst)] while stack: s, d = stack.pop() d.own += s.own d.total += s.total d.samples += s.samples for child in s.children.values(): key = Location.from_frame(child.label, lines) stack.append((child, d.children.setdefault(key, Acc()))) matched: t.Set[Location] = set() if root is None: label = ALL for _, thread in self._threads(stats): top.own += thread.own top.total += thread.total top.samples += thread.samples for child in thread.children.values(): key = Location.from_frame(child.label, lines) merge(child, top.children.setdefault(key, Acc())) else: match = matcher(root) depth = 0 for node, entering in _walk(self._roots(stats)): if not match(node.label): continue if not entering: depth -= 1 continue matched.add(Location.from_frame(node.label, lines)) if not depth: merge(node, top) depth += 1 if not matched: raise self._no_match(root) label = ( next(iter(matched)) if len(matched) == 1 else Location("", f"<{len(matched)} locations>") ) def make(location: Location, acc: Acc) -> CallNode: return CallNode( location=location, own=acc.own, total=acc.total, samples=acc.samples, pct=_pct(acc.total, profile_total), ) tree = make(label, top) pending = [(tree, top, 0)] while pending: call_node, acc, level = pending.pop() if max_depth is not None and level >= max_depth: continue for key, child_acc in sorted( acc.children.items(), key=lambda kv: kv[1].total, reverse=True ): if _pct(child_acc.total, profile_total) < min_pct: continue child_node = make(key, child_acc) call_node.children.append(child_node) pending.append((child_node, child_acc, level + 1)) return CallTree( paths=self.paths, metric=stats.stats_type, profile_total=profile_total, profile_samples=profile_samples, root=tree, matched=tuple(sorted(matched, key=str)), ) def tasks( self, *, metric: t.Union[None, str, AustinStatsType] = None ) -> TasksResult: """Get the asyncio task trees of the profile (Python 3.14+ only). A task is a child of the task that awaits it. Root tasks are grouped by the thread that owns them, and sorted by total within each thread, as are the children of each task. See :class:`TaskNode` for the meaning of the values. """ stats = self.stats(metric) stats_type = stats.stats_type profile_total, profile_samples = self._totals(stats) wall = stats_type is AustinStatsType.WALL names: t.Dict[int, t.Optional[str]] = {} owners: t.Dict[int, t.Tuple[ProcessId, ThreadName]] = {} waiters: t.Dict[int, int] = {} running: t.Counter[int] = Counter() awaiting: t.Counter[int] = Counter() for sample in self.samples: value = sample_metric(sample, stats_type) or 0 for task in _iter_tasks(sample.tasks): task_id = task.task_id if task.name is not None or task_id not in names: names[task_id] = task.name owners[task_id] = (sample.pid, sample.thread) for child in task.awaiting: waiters[child.task_id] = task_id if not value: continue if task_id == sample.running_task: running[task_id] += value elif wall: awaiting[task_id] += value children: t.Dict[int, t.List[int]] = defaultdict(list) for task_id, waiter in waiters.items(): if task_id in owners and waiter in owners: children[waiter].append(task_id) nodes = { task_id: TaskNode( task_id=task_id, name=names[task_id], pid=pid, thread=thread, running=running[task_id], awaiting=awaiting[task_id], total=running[task_id] + awaiting[task_id], pct=0.0, ) for task_id, (pid, thread) in owners.items() } # Build the trees from the root tasks down. A task in a waiter cycle, # which only garbled data can produce, becomes a root of its own. roots: t.List[TaskNode] = [] seen: t.Set[int] = set() candidates = [_ for _ in nodes if waiters.get(_) not in nodes] candidates.extend(_ for _ in nodes if _ not in candidates) order: t.List[TaskNode] = [] # Parents before children for root_id in candidates: if root_id in seen: continue seen.add(root_id) roots.append(nodes[root_id]) stack = [root_id] while stack: task_id = stack.pop() order.append(nodes[task_id]) for child_id in children[task_id]: if child_id not in seen: seen.add(child_id) nodes[task_id].children.append(nodes[child_id]) stack.append(child_id) for node in reversed(order): if not wall: node.total += sum(c.total for c in node.children) node.pct = _pct(node.total, profile_total) node.children.sort(key=lambda c: c.total, reverse=True) threads: t.Dict[t.Tuple[ProcessId, ThreadName], t.List[TaskNode]] = {} for root in roots: threads.setdefault((root.pid, root.thread), []).append(root) return TasksResult( paths=self.paths, metric=stats_type, profile_total=profile_total, profile_samples=profile_samples, roots=tuple( root for group in threads.values() for root in sorted(group, key=lambda r: r.total, reverse=True) ), ) def task_stacks( self, task: t.Optional[TaskSelector] = None, n: t.Optional[int] = None, *, metric: t.Union[None, str, AustinStatsType] = None, lines: bool = False, ) -> TaskStacksResult: """Get the ``n`` heaviest positions of asyncio tasks (Python 3.14+). A task's position is its coroutine chain while suspended, or the frames it was running. Each position gets the value of the samples in which a task was running there and, in wall time, the time a task was suspended there. Positions are merged across the tasks that match the ``task`` selector (see :func:`task_matcher`), or across all tasks if not given. Frames are functions, or lines if ``lines`` is true. """ stats = self.stats(metric) stats_type = stats.stats_type profile_total, profile_samples = self._totals(stats) wall = stats_type is AustinStatsType.WALL match = self._match_tasks(task) if task is not None else None matched: t.Dict[int, t.Optional[str]] = {} # Accumulate by position first, and only convert the distinct ones to # locations at the end. Samples share the position tuples of tasks # that have not moved, so their identity is a cheap key. positions: t.Dict[int, t.Tuple[AustinFrame, ...]] = {} raw: t.Dict[int, t.List[int]] = {} # [running, awaiting, samples] for sample in self.samples: value = sample_metric(sample, stats_type) or 0 for node in _iter_tasks(sample.tasks): if match is not None and not match(node): continue if node.name is not None or node.task_id not in matched: matched[node.task_id] = node.name is_running = node.task_id == sample.running_task if not value or not (is_running or wall): continue position = id(node.frames) try: acc = raw[position] except KeyError: positions[position] = node.frames acc = raw[position] = [0, 0, 0] acc[0 if is_running else 1] += value acc[2] += 1 Key = t.Tuple[Location, ...] running: t.Counter[Key] = Counter() awaiting: t.Counter[Key] = Counter() samples: t.Counter[Key] = Counter() for position, (run, wait, count) in raw.items(): key = tuple(Location.from_frame(f, lines) for f in positions[position]) running[key] += run awaiting[key] += wait samples[key] += count values = running + awaiting ranked = sorted(values, key=lambda k: values[k], reverse=True) return TaskStacksResult( paths=self.paths, metric=stats_type, profile_total=profile_total, profile_samples=profile_samples, entries=tuple( TaskStack( frames=key, value=values[key], running=running[key], awaiting=awaiting[key], samples=samples[key], pct=_pct(values[key], profile_total), ) for key in ranked[:n] ), count=len(ranked), matched=tuple( f"{name if name is not None else ''} #{task_id}" for task_id, name in sorted(matched.items()) ), ) austin_python-2.6.0/austin/simple.py0000644000000000000000000001271313615410400014515 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import subprocess import sys import typing as t from austin.base import AustinState from austin.base import BaseAustin from austin.cli import AustinArgumentParser from austin.errors import AustinError from austin.events import AustinMetadata from austin.events import AustinSample from austin.format.mojo import MojoStreamReader class SimpleAustin(BaseAustin): """Simple implementation of Austin. This is the simplest way to start Austin from Python if you do not need to carry out other operation in parallel. The following example shows how to make a simple implementation of Austin that returns stack in the collapsed format Example:: from austin.events import AustinMetadata, AustinSample from austin.format.collapsed_stack import AustinEventCollapsedStackFormatter from austin.simple import SimpleAustin FORMATTER = AustinEventCollapsedStackFormatter() class CollapsedStackSimpleAustin(SimpleAustin): def on_metadata(self, metadata: AustinMetadata) -> None: print(FORMATTER.format(metadata)) def on_sample(self, sample: AustinSample) -> None: print(FORMATTER.format(sample)) austin = CollapsedStackSimpleAustin() austin.start(["-i", "10ms", "python3", "myscript.py"]) austin.wait() """ def __init__(self, *args: t.Any, **kwargs: t.Any) -> None: super().__init__(*args, **kwargs) self._proc: t.Optional[subprocess.Popen] = None self._mojo: t.Optional[MojoStreamReader] = None def start(self, args: t.Optional[t.Sequence[str]] = None) -> None: """Start the Austin process.""" self._args = AustinArgumentParser().parse_args(args) self._state = AustinState.STARTING try: self._proc = subprocess.Popen( [ str(self.binary_path), "-P", *(args if args is not None else sys.argv[1:]), ], stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) except FileNotFoundError: raise AustinError("Austin executable not found.") from None if not self._proc.stdout: raise AustinError("Standard output stream is unexpectedly missing") if not self._proc.stderr: raise AustinError("Standard error stream is unexpectedly missing") self._mojo = MojoStreamReader(self._proc.stdout) # Retrieve the Austin version, then call the ready callback for e in self._mojo: if isinstance(e, AustinMetadata): self._meta[e.name] = e.value try: if self._metadata_callback is not None: self._metadata_callback(e) except Exception as exc: raise AustinError("Error in call to metadata callback") from exc if e.name == "austin": self._check_version() break else: raise AustinError("Cannot determine Austin version from output") def terminate(self) -> None: """Terminate the Austin process.""" if self._proc is None: raise AustinError("Austin process is not running") self._proc.terminate() def wait(self) -> int: if self._proc is None: raise AustinError("Austin process is not running") self._state = AustinState.RUNNING assert self._mojo is not None for e in self._mojo: if isinstance(e, AustinSample): try: self._sample_callback(e) except Exception as exc: raise AustinError("Error in call to sample callback") from exc elif isinstance(e, AustinMetadata): self._meta[e.name] = e.value if self._metadata_callback is not None: try: self._metadata_callback(e) except Exception as exc: raise AustinError("Error in call to metadata callback") from exc self._state = AustinState.TERMINATING # Call the terminate callback try: if self._terminate_callback is not None: self._terminate_callback() except Exception as exc: raise AustinError("Error in call to terminate callback") from exc try: return self._proc.wait() finally: self._state = AustinState.TERMINATED austin_python-2.6.0/austin/stats.py0000644000000000000000000002706413615410400014367 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from collections import namedtuple from copy import deepcopy from dataclasses import dataclass from dataclasses import field from enum import Enum from threading import Lock from typing import Any from typing import Dict from typing import Generator from typing import Iterable from typing import List from typing import Optional from typing import Tuple from austin.events import AustinEventIterator from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.events import ProcessId from austin.format.collapsed_stack import AustinEventCollapsedStackFormatter ThreadInfo = namedtuple("ThreadInfo", ["thread", "iid"]) COLLAPSED_STACK_FORMATTER = AustinEventCollapsedStackFormatter() class AustinStatsType(Enum): """Austin stats type.""" WALL = "wall" CPU = "cpu" MEMORY_ALLOC = "memory_alloc" MEMORY_DEALLOC = "memory_dealloc" def sample_metric(sample: AustinSample, stats_type: AustinStatsType) -> Optional[int]: """Get the value of a sample for a stats type, if it has one.""" if stats_type is AustinStatsType.WALL: return sample.metrics.time if stats_type is AustinStatsType.CPU: # In full mode, idle samples contribute wall time but no CPU time return None if sample.idle else sample.metrics.time memory = sample.metrics.memory if memory is None: return None if stats_type is AustinStatsType.MEMORY_ALLOC: return memory if memory > 0 else None return -memory if memory < 0 else None @dataclass class HierarchicalStats: """Base dataclass for representing hierarchical statistics. The statistics of a frame stack can be thought of as a rooted tree. Hence the hierarchy is established by the parent/child relation between the nodes in this tree. An instance of this class represents a node, and a leaf is given by those instances with an empty ``children`` attribute. The ``label`` attribute is used for indexing reasons and therefore should be of a hashable type. The ``samples`` attribute counts the samples that contributed to the ``total`` of the node. This class overrides the default ``add`` operator so that one can perform operations like ``stats1 + stats2``. Note, however, that instances of this class are not assumed to be immutable and indeed this operation will modify and return ``stats1`` with the outcome of the addition. """ label: Any own: int total: int children: Dict[Any, "HierarchicalStats"] = field(default_factory=dict) samples: int = 0 def __lshift__(self, other: "HierarchicalStats") -> "HierarchicalStats": """Merge the RHS into the LHS.""" if self.label != other.label: return self self.own += other.own self.total += other.total self.samples += other.samples for frame, child in other.children.items(): try: self.children[frame] << child except KeyError: self.children[frame] = child return self def get_child(self, label: Any) -> "HierarchicalStats": """Get a child from the children collection.""" return self.children[label] def collapse(self, stats_type: AustinStatsType) -> Generator[Any, None, None]: """Collapse the hierarchical statistics.""" raise NotImplementedError() @dataclass class FrameStats(HierarchicalStats): """Frame statistics.""" label: AustinFrame height: int = 0 children: Dict[AustinFrame, "FrameStats"] = field(default_factory=dict) # type: ignore[assignment] def collapse( self, stats_type: AustinStatsType ) -> Generator[Tuple[List[AustinFrame], AustinMetrics], None, None]: """Collapse the hierarchical statistics.""" frame = self.label if self.own: yield ( [frame], ( AustinMetrics(time=self.own) if stats_type in {AustinStatsType.CPU, AustinStatsType.WALL} else AustinMetrics(memory=self.own) ), ) if self.children: yield from ( ([frame, *rest], metric) for child in self.children.values() for rest, metric in child.collapse(stats_type) ) class ThreadStats(HierarchicalStats): """Thread statistics.""" label: ThreadInfo children: Dict[AustinFrame, FrameStats] = field(default_factory=dict) # type: ignore[assignment] def collapse( self, stats_type: AustinStatsType ) -> Generator[Tuple[ThreadInfo, List[AustinFrame], AustinMetrics], None, None]: """Collapse the hierarchical statistics.""" if self.own: yield ( self.label, [], ( AustinMetrics(time=self.own) if stats_type in {AustinStatsType.CPU, AustinStatsType.WALL} else AustinMetrics(memory=self.own) ), ) if self.children: yield from ( (self.label, frames, metric) for stats in self.children.values() for frames, metric in stats.collapse(stats_type) ) @dataclass class ProcessStats: """Process statistics.""" pid: ProcessId threads: Dict[ThreadInfo, ThreadStats] = field(default_factory=dict) def collapse( self, stats_type: AustinStatsType ) -> Generator[AustinSample, None, None]: """Collapse the hierarchical statistics.""" yield from ( AustinSample( pid=self.pid, iid=thread_info.iid, thread=thread_info.thread, frames=tuple(frames), metrics=metric, ) for thread in self.threads.values() for thread_info, frames, metric in thread.collapse(stats_type) ) def get_thread(self, thread_info: ThreadInfo) -> Optional[ThreadStats]: """Get thread statistics from this process by name. If the given thread name is not registered with this current process statistics, then ``None`` is returned. """ return self.threads.get(thread_info) @dataclass class AustinStats: """Austin statistics. This class is used to collect all the statistics about own and total time and/or memory generated by a run of Austin. The :func:`update` method is used to pass a new :class:`~austin.events.AustinSample` so that the statistics can be updated accordingly. """ stats_type: AustinStatsType processes: Dict[ProcessId, ProcessStats] = field(default_factory=dict) _lock: Lock = field(default_factory=Lock, compare=False) def __deepcopy__(self, memo: Optional[Dict[Any, Any]] = None) -> "AustinStats": """Make a deep copy of this AustinStats object.""" state = dict(self.__dict__) del state["_lock"] copy = type(self)(self.stats_type) copy.__dict__.update(deepcopy(state)) return copy def get_process(self, pid: ProcessId) -> ProcessStats: """Get process statistics for the given PID.""" return self.processes[pid] @classmethod def load(cls, stream: AustinEventIterator) -> Dict[AustinStatsType, "AustinStats"]: """Load statistics from the given text stream.""" mode = None for e in stream: if isinstance(e, AustinMetadata) and e.name == "mode": mode = e.value break else: raise ValueError("No mode metadata found in the stream") if mode == "full": profiles = { AustinStatsType.CPU: AustinStats(AustinStatsType.CPU), AustinStatsType.WALL: AustinStats(AustinStatsType.WALL), AustinStatsType.MEMORY_ALLOC: AustinStats(AustinStatsType.MEMORY_ALLOC), AustinStatsType.MEMORY_DEALLOC: AustinStats( AustinStatsType.MEMORY_DEALLOC ), } elif mode == "memory": profiles = { AustinStatsType.MEMORY_ALLOC: AustinStats(AustinStatsType.MEMORY_ALLOC), AustinStatsType.MEMORY_DEALLOC: AustinStats( AustinStatsType.MEMORY_DEALLOC ), } else: stats_type = AustinStatsType.CPU if mode == "cpu" else AustinStatsType.WALL profiles = {stats_type: AustinStats(stats_type)} for e in (_ for _ in stream if isinstance(_, AustinSample)): for profile in profiles.values(): profile.update(e) return profiles def update(self, sample: AustinSample) -> None: """Update the statistics with a new sample. Normally, you would want to pass the samples that Austin passes to the sample callback. """ metric = sample_metric(sample, self.stats_type) if not metric: return self.add_stack( sample.pid, sample.iid, sample.thread, sample.frames or (), metric ) def add_stack( self, pid: ProcessId, iid: Optional[int], thread: str, frames: Iterable[AustinFrame], metric: int, samples: int = 1, ) -> None: """Add the value of a stack, observed in the given number of samples. Adding the total value of several identical samples at once is the same as adding each of them, only faster. """ thread_info = ThreadInfo(thread, iid or 0) thread_stats = ThreadStats(thread_info, own=0, total=metric, samples=samples) # Convert the list of frames into a nested FrameStats instance stats: HierarchicalStats = thread_stats container = thread_stats.children for height, frame in enumerate(frames): stats = FrameStats( label=frame, height=height, own=0, total=metric, samples=samples ) container[frame] = stats container = stats.children stats.own = stats.total with self._lock: if pid not in self.processes: self.processes[pid] = ProcessStats(pid, {thread_info: thread_stats}) return process = self.processes[pid] if thread_info not in process.threads: process.threads[thread_info] = thread_stats return process.threads[thread_info] << thread_stats def flatten(self) -> Generator[AustinSample, None, None]: for process in self.processes.values(): yield from process.collapse(self.stats_type) austin_python-2.6.0/austin/threads.py0000644000000000000000000000710113615410400014651 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import typing as t from threading import Thread from austin.errors import AustinError from austin.simple import SimpleAustin class ThreadedAustin(SimpleAustin): """Thread-based implementation of Austin. Implements a ``threading`` API for Austin so that it can be used alongside other threads. The following example shows how to make a simple threaded echo implementation of Austin that behaves exactly just like Austin. Example:: from austin.events import AustinMetadata, AustinSample from austin.format.collapsed_stack import AustinEventCollapsedStackFormatter from austin.threads import ThreadedAustin FORMATTER = AustinEventCollapsedStackFormatter() class CollapsedStackThreadedAustin(ThreadedAustin): def on_metadata(self, metadata: AustinMetadata) -> None: print(FORMATTER.format(metadata)) def on_sample(self, sample: AustinSample) -> None: print(FORMATTER.format(sample)) austin = CollapsedStackThreadedAustin() austin.start(["-i", "10ms", "python3", "myscript.py"]) austin.wait() """ def __init__(self, *args: t.Any, **kwargs: t.Any) -> None: super().__init__(*args, **kwargs) self._thread: t.Optional[Thread] = None self._exc: t.Optional[Exception] = None self._exit_code: t.Optional[int] = None def start(self, args: t.Optional[t.Sequence[str]] = None) -> None: """Start the Austin thread.""" def _thread_bootstrap(self: ThreadedAustin) -> None: try: super().start(args) self._exit_code = super().wait() except Exception as e: self._exc = e self._thread = Thread(target=_thread_bootstrap, args=(self,)) self._thread.start() def join(self, timeout: t.Optional[float] = None) -> None: """Join the thread. This is the same as calling :func:`join` on the underlying thread object. **Note** This is an extension of the base Austin abstract class. """ if self._thread is None: raise AustinError("Austin thread has not been started yet") self._thread.join(timeout) if self._exc: raise self._exc def wait(self) -> int: """Wait for the Austin thread to finish and return the exit code.""" if self._thread is None: raise AustinError("Austin thread has not been started yet") self.join() if self._exc: raise self._exc assert self._exit_code is not None return self._exit_code austin_python-2.6.0/austin/format/__init__.py0000644000000000000000000000555013615410400016254 0ustar00from contextlib import contextmanager from contextlib import nullcontext from enum import Enum import os from pathlib import Path import sys import threading import typing as t from austin.events import AustinEventIterator MOJO_MAGIC = b"MOJ" ProgressCallback = t.Callable[[float], None] class Mode(Enum): """Austin profiling mode.""" CPU = 0 WALL = 1 MEMORY = 2 FULL = 3 @classmethod def from_metadata(cls, mode: str) -> "Mode": """Get mode from metadata information.""" return { "cpu": Mode.CPU, "wall": Mode.WALL, "memory": Mode.MEMORY, "full": Mode.FULL, }[mode] @contextmanager def file_progress( f: t.IO, on_progress: ProgressCallback, interval: float = 0.5 ) -> t.Iterator[None]: """Report the fraction of a file that has been read. The ``on_progress`` callback is called periodically from a background thread, and once with ``1.0`` when the context exits normally. The file position is read from the OS, so this works with any reader of the file. """ size = os.fstat(f.fileno()).st_size def report() -> None: while not done.wait(interval): on_progress(os.lseek(f.fileno(), 0, os.SEEK_CUR) / size if size else 1.0) done = threading.Event() reporter = threading.Thread(target=report, daemon=True) reporter.start() try: yield finally: done.set() reporter.join() on_progress(1.0) def stderr_progress(label: str) -> t.Optional[ProgressCallback]: """Get a progress callback that prints to stderr, if it is a terminal.""" if not sys.stderr.isatty(): return None def on_progress(fraction: float) -> None: line = f"{label} {fraction:.0%}" if fraction >= 1.0: # Done: clear the progress line line = " " * len(line) print(f"\r{line}\r", end="", file=sys.stderr, flush=True) return on_progress @contextmanager def open_profile( path: t.Union[str, Path], on_progress: t.Optional[ProgressCallback] = None ) -> t.Iterator[AustinEventIterator]: """Open a MOJO or a collapsed stack profile file. The format is detected from the content of the file. The returned event iterator is only valid within the context. If ``on_progress`` is given, it is called with the fraction of the file read so far (see `file_progress`). """ from austin.format.collapsed_stack import AustinFileReader from austin.format.mojo import MojoStreamReader with open(path, "rb") as f: is_mojo = f.read(len(MOJO_MAGIC)) == MOJO_MAGIC with open(path, "rb" if is_mojo else "r") as f: with file_progress(f, on_progress) if on_progress else nullcontext(): yield ( MojoStreamReader(f) if is_mojo else AustinFileReader(t.cast(t.TextIO, f)) ) austin_python-2.6.0/austin/format/collapsed_stack.py0000644000000000000000000001611513615410400017647 0ustar00import typing as t from functools import singledispatchmethod from pathlib import Path from austin.events import AustinEvent from austin.events import AustinEventIterator from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.format.mojo import MojoStreamReader __version__ = "0.1.0" class InvalidFrame(Exception): """Raised when a frame is invalid.""" def __init__(self, frame: str) -> None: super().__init__(f"Invalid frame: {frame}") self.frame = frame class InvalidSample(Exception): """Raised when a sample is invalid.""" def __init__(self, sample: str) -> None: super().__init__(f"Invalid sample: {sample}") self.sample = sample def parse_frame(frame: str) -> AustinFrame: """Parse the given string as a frame. A string representing a frame has the structure ``[frame] := ::`` This static method attempts to parse the given string in order to identify the parts of the frame and returns an instance of the :class:`Frame` dataclass with the corresponding fields filled in. """ if not frame: raise InvalidFrame(frame) try: filename, function, line = frame.rsplit(":", maxsplit=2) except ValueError: raise InvalidFrame(frame) from None return AustinFrame(filename=filename, function=function, line=int(line or 0)) def parse_collapsed_stack(sample: str) -> AustinSample: """Parse the given string as a sample. A string representing a sample has the structure ``P;T[;[frame]]* [metric][,[metric]]*`` This static method attempts to parse the given string in order to identify the parts of the sample and returns an instance of the :class:`Sample` dataclass with the corresponding fields filled in. """ if not sample: raise InvalidSample(sample) if sample[0] != "P": raise InvalidSample(f"No process ID in sample {sample!r}") head, _, metrics = sample.rpartition(" ") process, _, rest = head.partition(";") try: pid = int(process[1:]) except ValueError: raise InvalidSample(f"Invalid process ID in sample {sample!r}") from None if rest[0] != "T": raise InvalidSample(f"No thread ID in sample {sample!r}") thread, _, frames_data = rest.partition(";") thread = thread[1:] iid = None if ":" in thread: iid, _, thread = thread.partition(":") frames = ( tuple(parse_frame(frame) for frame in frames_data.split(";")) if frames_data else None ) if "," in metrics: time, idle, memory = metrics.split(",") else: time, idle, memory = metrics, None, None return AustinSample( pid=int(pid), iid=int(iid) if iid else None, thread=thread, metrics=AustinMetrics( time=int(time) if time else None, memory=int(memory) if memory else None, ), frames=frames, idle=bool(int(idle)) if idle else None, gc=any(frame.function == "GC" for frame in frames) if frames else None, ) class AustinFileReader(AustinEventIterator): """Austin file reader. Conveniently read an Austin sample file by also parsing any header and footer metadata. """ def __init__(self, stream: t.TextIO) -> None: self.metadata: t.Dict[str, str] = {} self.stream: t.TextIO = stream def __enter__(self) -> "AustinFileReader": """Open the Austin file and read the metadata.""" return self def __iter__(self) -> t.Iterator[AustinEvent]: """Iterator over the samples in the Austin file.""" for line in self.stream: if not line: break line = line.rstrip("\n") if not line: continue if line.startswith("# "): key, _, value = line[2:].strip().partition(": ") self.metadata[key] = value yield AustinMetadata(name=key, value=value) else: yield parse_collapsed_stack(line) def __exit__(self, *args: t.Any) -> None: """Close the Austin file.""" self.stream.flush() class AustinEventCollapsedStackFormatter: """Formatter for Austin events in collapsed stack format.""" def __init__(self, mode: t.Optional[str] = None) -> None: self.mode = mode @singledispatchmethod def format(self, event) -> str: """Format an Austin event to a string.""" raise NotImplementedError(f"Cannot format event of type {type(event)}") @format.register(AustinMetadata) def _(self, event: AustinMetadata) -> str: """Format Austin metadata event to a string.""" if event.name == "mode": self.mode = event.value return f"# {event.name}: {event.value}" @format.register(AustinFrame) def _(self, event: AustinFrame) -> str: """Format Austin frame event to a string.""" return f"{event.filename}:{event.function}:{event.line}" @format.register(AustinSample) def _(self, event: AustinSample) -> str: """Format Austin sample event to a string.""" assert self.mode is not None try: thread = str(int(event.thread, 16)) except ValueError: # Fallback: use the original string if not a valid hex, or try base 10 thread = event.thread head = ( f"P{event.pid};T{event.iid}:{thread}" if event.iid is not None else f"P{event.pid};T{thread}" ) frames = ( ";".join(self.format(frame) for frame in event.frames) if event.frames is not None else None ) if self.mode == "full": assert event.idle is not None tail = f"{event.metrics.time},{int(event.idle)},{event.metrics.memory}" if self.mode == "memory": tail = str(event.metrics.memory) else: tail = str(event.metrics.time) return f"{head};{frames} {tail}" if frames is not None else f"{head} {tail}" def mojo2austin(args: t.Any) -> None: with args.input.open("rb") as mojo, args.output.open("w") as fout: formatter = AustinEventCollapsedStackFormatter() for event in MojoStreamReader(mojo): print(formatter.format(event), file=fout) def main() -> None: from argparse import ArgumentParser arg_parser = ArgumentParser( prog="mojo2austin", description="Convert MOJO files to Austin format.", ) arg_parser.add_argument( "input", type=Path, help="The MOJO file to convert", ) arg_parser.add_argument( "output", type=Path, help="The name of the output Austin file.", ) arg_parser.add_argument("-V", "--version", action="version", version=__version__) args = arg_parser.parse_args() try: mojo2austin(args) except FileNotFoundError: print(f"No such input file: {args.input}") exit(1) if __name__ == "__main__": main() austin_python-2.6.0/austin/format/compress.py0000644000000000000000000000732513615410400016352 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from typing import Dict from typing import TextIO from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.format.collapsed_stack import AustinEventCollapsedStackFormatter from austin.format.collapsed_stack import AustinFileReader def compress(source: AustinFileReader, dest: TextIO, counts: bool = False) -> None: """Compress the source stream. Aggregates the metrics on equal collapsed stacks. If ``counts`` is ``True`` then time samples are counted by occurrence rather than by sampling duration. """ stats: Dict[AustinSample.Key, int] = {} metadata = [] for event in source: if isinstance(event, AustinMetadata): metadata.append(event) continue assert isinstance(event, AustinSample) value = 1 if counts else int(event.metrics.time or event.metrics.memory or 0) sample_key = event.key() stats[sample_key] = stats.get(sample_key, 0) + value mode = source.metadata["mode"] is_memory = mode == "memory" formatter = AustinEventCollapsedStackFormatter(mode=mode) dest.writelines(f"# {m.name}: {m.value}\n" for m in metadata) dest.writelines( formatter.format( AustinSample.from_key_and_metrics( key, ( AustinMetrics(memory=metrics) if is_memory else AustinMetrics(time=metrics) ), ) ) + "\n" for key, metrics in stats.items() ) def main() -> None: """austin-compress entry point.""" from argparse import ArgumentParser arg_parser = ArgumentParser( prog="austin-compress", description=( "Compress a raw Austin sample file by aggregating the collected samples." ), ) arg_parser.add_argument( "input", type=str, help="The input file containing Austin samples.", ) arg_parser.add_argument( "output", type=str, help="The output file; defaults to the input file for in-place compression.", ) arg_parser.add_argument( "-c", "--counts", action="store_true", default=False, help="Use sample counts instead of measured sampling durations.", ) arg_parser.add_argument("-V", "--version", action="version", version="0.3.0") args = arg_parser.parse_args() try: with ( open(args.input) as _fin, open(args.output or args.input, "w") as fout, ): compress(AustinFileReader(_fin), fout, args.counts) except FileNotFoundError: print(f"No such input file: {args.input}") exit(1) if __name__ == "__main__": main() austin_python-2.6.0/austin/format/mojo.py0000644000000000000000000014572213615410400015467 0ustar00import abc import asyncio import typing as t from dataclasses import dataclass from dataclasses import field from dataclasses import fields from enum import Enum from austin.events import AustinEvent from austin.events import AustinEventIterator from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.events import AustinTask from austin.events import AustinTaskReport from austin.events import InterpreterId from austin.events import ProcessId from austin.events import ThreadName # Guards against a corrupted/cyclic waiter graph in the source stream -- a # real await chain never comes anywhere close to this. Mirrors austin's own # WHERE_MAX_TREE_DEPTH (src/events.c). MAX_TASK_TREE_DEPTH = 64 def to_varint(n: int) -> bytes: """Convert an integer to a variable-length integer.""" result = bytearray() b = 0 if n < 0: b |= 0x40 n = -n b |= n & 0x3F n >>= 6 if n: b |= 0x80 result.append(b) while n: b = n & 0x7F n >>= 7 if n: b |= 0x80 result.append(b) return bytes(result) class MojoParseError(Exception): """MOJO parse error.""" pass class MojoEvents: """MOJO events.""" RESERVED = 0 METADATA = 1 STACK = 2 FRAME = 3 FRAME_INVALID = 4 FRAME_REF = 5 FRAME_KERNEL = 6 GC = 7 IDLE = 8 METRIC_TIME = 9 METRIC_MEMORY = 10 STRING = 11 STRING_REF = 12 STACK_REPEAT = 13 TASK_STACK = 14 TASK_WAITER = 15 TASK_RUNNING = 16 class MojoEventHandler: """MOJO event handler.""" __event__ = 0 def __call__(self, *args: t.Any, **kwargs: t.Any) -> None: """Handle the event.""" ... @dataclass(frozen=True, eq=True) class MojoEvent: """MOJO event.""" EVENT_ID: t.ClassVar = None raw: t.ClassVar[bytes] = b"" def ref(self) -> int: return getattr(self, fields(self)[0].name) def to_bytes(self) -> bytes: buffer = bytearray([self.EVENT_ID]) for f in fields(self): value = getattr(self, f.name) field_type = ( t.get_args(f.type)[0] if t.get_origin(f.type) is t.Union else f.type ) if field_type is str: buffer += value.encode() buffer += b"\x00" elif field_type is int: buffer += to_varint(value) elif issubclass(field_type, MojoEvent): buffer += to_varint(value.ref()) else: msg = f"Invalid MOJO event field type {f.type}" raise TypeError(msg) return bytes(buffer) class MojoMetricType(str, Enum): """MOJO metric types.""" TIME = "time" MEMORY = "memory" @dataclass(frozen=True, eq=True) class MojoMetric(MojoEvent): """MOJO metric.""" metric_type: MojoMetricType value: int def to_bytes(self) -> bytes: buffer = bytearray( [ ( MojoEvents.METRIC_TIME if self.metric_type is MojoMetricType.TIME else MojoEvents.METRIC_MEMORY ) ] ) buffer += to_varint(self.value) return bytes(buffer) @dataclass(frozen=True, eq=True) class MojoString(MojoEvent): """MOJO string.""" EVENT_ID = MojoEvents.STRING key: int value: str @dataclass(frozen=True, eq=True) class MojoStringReference(MojoEvent): """MOJO string reference.""" EVENT_ID = MojoEvents.STRING_REF string: MojoString class MojoIdle(MojoEvent): """MOJO idle event.""" EVENT_ID = MojoEvents.IDLE pass @dataclass(frozen=True, eq=True) class MojoMetadata(MojoEvent): """MOJO metadata.""" EVENT_ID = MojoEvents.METADATA key: str value: str @dataclass(frozen=True, eq=True) class MojoStack(MojoEvent): """MOJO stack.""" EVENT_ID = MojoEvents.STACK pid: int iid: int tid: str @dataclass(frozen=True, eq=True) class MojoStackRepeat(MojoEvent): """MOJO stack repeat event. Signals that the previous sample for this thread provides the base (outermost) frames for the current sample. The frames accumulated so far in the current sample are the innermost (top) part of the call stack. """ EVENT_ID = MojoEvents.STACK_REPEAT @dataclass(frozen=True, eq=True) class MojoTaskWaiter(MojoEvent): """MOJO task waiter event. One edge of a task's waiter DAG: ``task_id`` is awaited by ``waiter_id``. """ EVENT_ID = MojoEvents.TASK_WAITER task_id: int waiter_id: int @dataclass(frozen=True, eq=True) class MojoTaskRunning(MojoEvent): """MOJO task running event. The task the enclosing sample's thread was running at that sample. The sample's metrics then belong to that task too, at its latest position. """ EVENT_ID = MojoEvents.TASK_RUNNING task_id: int @dataclass(frozen=True, eq=True) class MojoTaskStack(MojoEvent): """MOJO task stack event. Introduces a task's new position, keyed by an opaque task id and its (possibly cached) name key (0 if unresolved, and on a closing flush). The next ``frame_count`` frame references are the task's frames; none means the task is gone. The report carries no time: the time a task spends at a position is the time of its thread's samples while it holds it -- see AustinTaskReport. """ EVENT_ID = MojoEvents.TASK_STACK task_id: int name_key: int frame_count: int @dataclass(frozen=True, eq=True) class MojoFrame(MojoEvent): """MOJO frame.""" EVENT_ID = MojoEvents.FRAME key: int filename: MojoString scope: MojoString line: int line_end: t.Optional[int] = None column: t.Optional[int] = None column_end: t.Optional[int] = None @dataclass(frozen=True, eq=True) class MojoKernelFrame(MojoEvent): """MOJO kernel frame.""" EVENT_ID = MojoEvents.FRAME_KERNEL scope: str @dataclass(frozen=True, eq=True) class MojoSpecialFrame(MojoEvent): """MOJO special frame.""" EVENT_ID = MojoEvents.FRAME_INVALID label: str @dataclass(frozen=True, eq=True) class MojoFrameReference(MojoEvent): """MOJO frame reference.""" EVENT_ID = MojoEvents.FRAME_REF frame: MojoFrame EMPTY = MojoString(0, "") UNKNOWN = MojoString(1, "") def handles( e: int, ) -> t.Callable[[t.Callable], MojoEventHandler]: """MOJO handler registration decorator.""" def _(f: t.Callable) -> MojoEventHandler: (h := t.cast(MojoEventHandler, f)).__event__ = e return h return _ @dataclass class _RunningSample: pid: ProcessId thread: ThreadName iid: t.Optional[InterpreterId] = None frames: t.List[MojoFrame] = field(default_factory=list) metrics: t.Dict[MojoMetricType, MojoMetric] = field(default_factory=dict) gc: t.Optional[bool] = None idle: t.Optional[bool] = None running_task: t.Optional[int] = None task_reports: t.List[AustinTaskReport] = field(default_factory=list) @dataclass class _RunningTaskStack: task_id: int name_key: int frame_count: int frames: t.List[MojoFrame] = field(default_factory=list) @dataclass class _TaskInfo: """Best-known state for one task_id. Built up from MOJO_TASK_STACK events as they arrive. ``owner`` is the (pid, thread) of whichever sample's wire bracket this task's most recent MOJO_TASK_STACK fell within -- see BaseMojoStreamReader's task-stack handling for why that bracket is the only ownership signal that exists. """ name: t.Optional[str] owner: t.Tuple[ProcessId, ThreadName] frames: t.Tuple[AustinFrame, ...] = () # Time spent at ``frames`` so far, i.e. since the task's last report. pending: int = 0 def int_reader() -> t.Generator[t.Optional[int], bytes, int]: (b,) = yield None while True: n = 0 s = 6 n |= b & 0x3F sign = b & 0x40 while b & 0x80: (b,) = yield None n |= (b & 0x7F) << s s += 7 (b,) = yield -n if sign else n def str_reader() -> t.Generator[t.Optional[str], bytes, str]: """Read a string from the MOJO file.""" buffer = bytearray(1024) i = 0 (b,) = yield None while True: if b == 0: (b,) = yield bytes(buffer[:i]).decode(errors="replace") i = 0 else: try: buffer[i] = b except IndexError: # Expand the buffer if needed buffer += bytearray(i - len(buffer) + 1) buffer[i] = b (b,) = yield None i += 1 class BaseMojoStreamReader(AustinEventIterator): """Base MOJO stream reader. Converts a stream of MOJO events into Austin events, that is samples and metadata. """ __handlers__: t.Optional[t.Dict[int, t.Callable[[], None]]] = None def __init__(self, mojo: t.Any) -> None: if self.__handlers__ is None: self.__class__.__handlers__ = { f.__event__: f for f in self.__class__.__dict__.values() if hasattr(f, "__event__") } self.mojo = mojo self.mojo_version: t.Optional[int] = None # Reference maps self._frame_map: t.Dict[t.Tuple[int, int], MojoFrame] = {} self._string_map: t.Dict[t.Tuple[int, int], MojoString] = {} # Internal parsing state self._offset = 0 self._last_read = 0 self._last_bytes = bytearray() self._running_sample: t.Optional[_RunningSample] = None self._int_reader = int_reader() next(self._int_reader) self._str_reader = str_reader() next(self._str_reader) # Per-thread previous frame list for STACK_REPEAT expansion. # Key: (pid, thread_name); value: list of MojoFrame accumulated by the # last fully-finalised sample for that thread. self._prev_frames: t.Dict[t.Tuple[int, str], t.List[MojoFrame]] = {} # Suspended-task coroutine-chain state (3.14+ asyncio). A task stack's # frames/terminating time metric are ordinary MOJO_FRAME/MOJO_FRAME_REF/ # MOJO_METRIC_TIME events on the wire, indistinguishable by event ID # alone from those of the enclosing regular stack sample -- so while # this is not None, get_frame_ref/get_time_metric route to it instead # of the running sample. self._running_task_stack: t.Optional[_RunningTaskStack] = None # Best-known state per task_id, keyed by remote TaskObj address. self._task_info: t.Dict[int, _TaskInfo] = {} # Best-known waiter DAG edges: (task_id, waiter_id) pairs, meaning # task_id is awaited by waiter_id. The wire re-emits a task's # *complete* current waiter set whenever it changes (never a diff -- # see py_asyncio.c's fingerprint comment), so a fresh batch for a # task_id replaces its previous edges; batch boundaries are inferred # from consecutive same-task_id events (see get_task_waiter). self._task_edges: t.Set[t.Tuple[int, int]] = set() self._last_waiter_task_id: t.Optional[int] = None # Converted frames, keyed by the ID of their MOJO frame (see # _austin_frame). self._austin_frames: t.Dict[int, t.Tuple[MojoFrame, AustinFrame]] = {} # The task trees of each owner, as returned by get_tasks, until the # task state changes. Samples far outnumber task state changes, so # this saves rebuilding the same trees for every sample. self._task_trees: t.Dict[ t.Tuple[ProcessId, ThreadName], t.Tuple[AustinTask, ...] ] = {} # Austin events self.metadata: t.Dict[str, str] = {} self.samples: t.List[AustinSample] = [] def ref(self, n: int) -> t.Tuple[int, int]: """Return a per-process reference key. MOJO objects that carry a numeric reference is to be interpreted as relative to the current process, so it has to be combined with the last seen PID. """ assert self._running_sample is not None return (self._running_sample.pid, n) def _read(self, data: bytes, n: int = 1) -> bytes: """Read bytes from the MOJO file.""" if len(data) != n: raise ValueError( f"Expected {n} bytes, got {len(data)} at offset {self._offset}" ) self._offset += self._last_read self._last_read = n self._last_bytes.extend(data) return data def get_metadata(self, name: str, value: str) -> MojoMetadata: """Parse metadata.""" metadata = MojoMetadata(name, value) self.metadata[metadata.key] = metadata.value return metadata @property def mode(self) -> t.Optional[str]: return self.metadata.get("mode") @property def gc(self) -> t.Optional[str]: return self.metadata.get("gc") def _accrue_task_time(self, sample: _RunningSample) -> None: """Add the time of a sample to the tasks its thread holds. A task's time at a position is the time of its thread's samples while it holds it: the running task's go to it as running (see AustinSample.running_task), every other task's as time at its current position, which its next report carries. In CPU mode a task that isn't running isn't using the CPU, so it gets nothing. """ if self.mode == "cpu": return time_metric = sample.metrics.get(MojoMetricType.TIME) if time_metric is None or not time_metric.value: return owner = (sample.pid, sample.thread) for task_id, info in self._task_info.items(): if info.owner == owner and task_id != sample.running_task: info.pending += time_metric.value def _end_task_reports(self) -> t.List[AustinTaskReport]: """Report the time the tasks still alive have spent at their position. Nothing else would: a task's time at a position is only reported when the task moves on, or goes. These reports leave the position unchanged (``frames`` and ``previous`` are the same). """ reports = [ AustinTaskReport( task_id=task_id, name=info.name, frames=info.frames, previous=info.frames, elapsed=info.pending, ) for task_id, info in self._task_info.items() if info.pending ] for info in self._task_info.values(): info.pending = 0 return reports def _austin_frame(self, frame: MojoFrame) -> AustinFrame: """Convert a MOJO frame, once. The reader reuses the MOJO frame objects of repeated frames, so samples share the converted frames too, which saves memory and makes comparing stacks cheaper. """ try: return self._austin_frames[id(frame)][1] except KeyError: austin_frame = AustinFrame( filename=frame.filename.value, function=frame.scope.value, line=frame.line, line_end=frame.line_end, column=frame.column, column_end=frame.column_end, ) # Keeping a reference to the MOJO frame keeps its ID unique. self._austin_frames[id(frame)] = (frame, austin_frame) return austin_frame def _finalize_sample(self, last: bool = False) -> AustinSample: """Finalize the current sample. The last sample of the stream also carries the end-of-stream task reports (see _end_task_reports). """ assert self._running_sample is not None, self._running_sample self._accrue_task_time(self._running_sample) if last: self._running_sample.task_reports.extend(self._end_task_reports()) self.samples.append( sample := AustinSample( pid=self._running_sample.pid, iid=self._running_sample.iid, thread=self._running_sample.thread, metrics=AustinMetrics( **{ metric_type.value: metric.value for metric_type, metric in self._running_sample.metrics.items() } ), frames=( tuple(map(self._austin_frame, self._running_sample.frames)) if self._running_sample.frames else None ), gc=self._running_sample.gc, idle=self._running_sample.idle, running_task=self._running_sample.running_task, task_reports=tuple(self._running_sample.task_reports), tasks=self.get_tasks( self._running_sample.pid, self._running_sample.thread ), ) ) # Save fully-expanded frame list for future STACK_REPEAT events from # this thread. self._prev_frames[(self._running_sample.pid, self._running_sample.thread)] = ( list(self._running_sample.frames) ) self._running_sample = None return sample @staticmethod def _is_native_frame(frame: MojoFrame) -> bool: name = frame.filename.value return not name.endswith(".py") and not ( name.startswith("<") and name.endswith(">") ) def get_stack_repeat(self) -> MojoStackRepeat: """Handle a STACK_REPEAT event. The previous sample's frames (minus any trailing native frames that belonged to the old top-of-stack above the eval frame) are prepended to the frames accumulated so far. """ assert self._running_sample is not None key = (self._running_sample.pid, self._running_sample.thread) prev = list(self._prev_frames.get(key, [])) # Strip native frames from the innermost (top) end of the previous # stack — those were above the eval frame and have now been replaced # by the new frames in the current sample. while prev and self._is_native_frame(prev[-1]): prev.pop() self._running_sample.frames = prev + self._running_sample.frames return MojoStackRepeat() def get_stack(self, pid: int, iid: t.Optional[int], thread: str) -> MojoStack: """Parse a stack.""" if self._running_sample is not None: self._finalize_sample() # A task's waiter set is a run of consecutive MOJO_TASK_WAITER events, # which never spans a sample boundary. self._last_waiter_task_id = None self._running_sample = _RunningSample( pid=pid, iid=iid, thread=thread, idle=False if self.mode == "full" else None, gc=False if self.gc is not None else None, ) return MojoStack(pid, iid if iid is not None else -1, thread) def _lookup_string(self, index: int) -> MojoString: return UNKNOWN if index == 1 else self._string_map[self.ref(index)] def get_frame( self, key: int, filename_index: int, scope_index: int, line: int, line_end: t.Optional[int], column: t.Optional[int], column_end: t.Optional[int], ) -> MojoFrame: """Parse a frame.""" filename = self._lookup_string(filename_index) scope = self._lookup_string(scope_index) if self.mojo_version == 1: assert line_end == column == column_end is None self._frame_map[self.ref(key)] = ( frame := MojoFrame(key, filename, scope, line, line_end, column, column_end) ) return frame def get_frame_ref(self, ref: int) -> MojoFrameReference: """Parse a frame reference.""" frame = self._frame_map[self.ref(ref)] if self._running_task_stack is not None: self._running_task_stack.frames.append(frame) if ( len(self._running_task_stack.frames) >= self._running_task_stack.frame_count ): self._finalize_task_stack() else: assert self._running_sample is not None, self._running_sample self._running_sample.frames.append(frame) return MojoFrameReference(frame) def get_task_waiter(self, task_id: int, waiter_id: int) -> MojoTaskWaiter: """Parse a task waiter edge.""" if self._last_waiter_task_id != task_id: # Starting a fresh batch for this task_id: the wire re-emits the # complete current waiter set whenever it changes, so drop # whatever we knew about this task_id's waiters before. self._task_edges = {e for e in self._task_edges if e[0] != task_id} self._last_waiter_task_id = task_id self._task_trees.clear() # A waiter of 0 is no task: the task's waiter set is now empty. if waiter_id: self._task_edges.add((task_id, waiter_id)) self._task_trees.clear() return MojoTaskWaiter(task_id, waiter_id) def get_task_running(self, task_id: int) -> MojoTaskRunning: """Parse the task the current sample's thread was running.""" assert self._running_sample is not None, self._running_sample self._running_sample.running_task = task_id return MojoTaskRunning(task_id) def get_task_stack( self, task_id: int, name_key: int, frame_count: int ) -> MojoTaskStack: """Parse the header of a task report. Its frames arrive as the next ``frame_count`` frame references -- see get_frame_ref. A report with none closes the task right away. """ self._running_task_stack = _RunningTaskStack(task_id, name_key, frame_count) self._last_waiter_task_id = None if not frame_count: self._finalize_task_stack() return MojoTaskStack(task_id, name_key, frame_count) def _finalize_task_stack(self) -> None: """Finalize the running task stack. Triggered by its last frame reference (see get_frame_ref), or right away by a header with no frames (see get_task_stack). The report's frames are the task's new position, and its elapsed time is the time the task spent at its previous one -- see AustinTaskReport and _accrue_task_time. The report is attached to the sample currently being assembled, and the task's owner is recorded as that sample's thread: this event only ever arrives bracketed inside that sample's own MOJO_STACK...next-MOJO_STACK window, so there's nothing else it could belong to. An empty ``ts.frames`` is a closing flush -- the task is gone (completed, or otherwise), and this only carries its final time. It has no name of its own, nor a meaningful owner (by the time eviction runs, every thread for this cycle has already had its turn, so "whichever sample is currently being assembled" is arbitrary here). The task is forgotten, along with every waiter edge it is part of. """ ts = self._running_task_stack assert ts is not None, ts assert self._running_sample is not None, self._running_sample self._running_task_stack = None existing = self._task_info.get(ts.task_id) previous = existing.frames if existing is not None else None elapsed = existing.pending if existing is not None else 0 if ts.name_key: name: t.Optional[str] = self._lookup_string(ts.name_key).value else: name = existing.name if existing is not None else None frames = tuple(map(self._austin_frame, ts.frames)) self._running_sample.task_reports.append( AustinTaskReport( task_id=ts.task_id, name=name, frames=frames, previous=previous, elapsed=elapsed, ) ) self._task_trees.clear() if not frames: self._task_info.pop(ts.task_id, None) self._task_edges = {e for e in self._task_edges if ts.task_id not in e} return self._task_info[ts.task_id] = _TaskInfo( name=name, owner=(self._running_sample.pid, self._running_sample.thread), frames=frames, ) def get_tasks(self, pid: ProcessId, thread: ThreadName) -> t.Tuple[AustinTask, ...]: """Return the current best-known root tasks owned by (pid, thread). Every root task it owns (nobody awaits it), and everything it transitively awaits, as one AustinTask per root -- a thread can own more than one at once (e.g. several siblings under one gather()). Mirrors austin's own where_event_handler__render_tree: only live tasks that have been reported at least once appear. A waiter we know nothing about (never reported, or already gone) doesn't count as a parent, so the tasks it awaited still show up, as roots. Like that C-side counterpart, this is a no-op (returns empty) when (pid, thread) owns no tasks, so callers can call it unconditionally. """ owner = (pid, thread) try: return self._task_trees[owner] except KeyError: pass # Index the edges between known tasks once, rather than scanning them # for every task. awaited_by: t.Dict[int, t.List[int]] = {} has_parent: t.Set[int] = set() for awaited_id, waiter_id in self._task_edges: if awaited_id in self._task_info and waiter_id in self._task_info: awaited_by.setdefault(waiter_id, []).append(awaited_id) has_parent.add(awaited_id) def build(task_id: int, depth: int) -> AustinTask: info = self._task_info[task_id] awaiting = ( tuple(build(_, depth + 1) for _ in awaited_by.get(task_id, ())) if depth < MAX_TASK_TREE_DEPTH else () ) return AustinTask( task_id=task_id, name=info.name, frames=info.frames, awaiting=awaiting, ) owned = [ task_id for task_id, info in self._task_info.items() if info.owner == owner ] # Best-effort fallback, matching austin's own render_tree: if every # one of this owner's tasks appears to have a parent (a cyclic/bogus # edge), there's no true root -- show each as its own top-level tree # rather than silently showing nothing. roots = [_ for _ in owned if _ not in has_parent] or owned trees = self._task_trees[owner] = tuple(build(_, 0) for _ in roots) return trees def get_kernel_frame(self, name: str) -> MojoKernelFrame: """Parse kernel frame.""" return MojoKernelFrame(name) def _get_metric(self, metric_type: MojoMetricType, value: int) -> MojoMetric: metric = MojoMetric(metric_type, value) assert self._running_sample is not None, self._running_sample self._running_sample.metrics[metric_type] = metric return metric def get_time_metric(self, value: int) -> MojoMetric: """Parse time metric.""" return self._get_metric(MojoMetricType.TIME, value) def get_memory_metric(self, value: int) -> MojoMetric: """Parse memory metric.""" return self._get_metric(MojoMetricType.MEMORY, value) def get_invalid_frame(self) -> MojoSpecialFrame: """Parse invalid frame.""" return MojoSpecialFrame("INVALID") def get_idle(self) -> MojoIdle: """Parse idle event.""" assert self._running_sample is not None, self._running_sample self._running_sample.idle = True return MojoIdle() def get_gc(self) -> MojoSpecialFrame: """Parse a GC event.""" assert self._running_sample is not None, self._running_sample self._running_sample.gc = True return MojoSpecialFrame("GC") def get_string(self, key: int, value: str) -> MojoString: """Parse a string.""" self._string_map[self.ref(key)] = (string := MojoString(key, value)) return string def get_string_ref(self, key: int) -> MojoStringReference: """Parse string reference.""" return MojoStringReference(self._string_map[self.ref(key)]) def unwind(self) -> None: """Read the MOJO file.""" for _ in self: pass class MojoStreamReader(BaseMojoStreamReader): """MOJO stream reader. Converts a stream of MOJO events into Austin events, that is samples and metadata. """ def read(self, n: int = 1) -> bytes: """Read bytes from the MOJO file.""" return self._read(self.mojo.read(n), n) def read_int(self) -> int: while True: if (n := self._int_reader.send(self.read())) is not None: return n def read_string(self) -> str: """Read a string from the MOJO file.""" while True: if (s := self._str_reader.send(self.read())) is not None: return s @handles(MojoEvents.METADATA) def parse_metadata(self) -> MojoMetadata: """Parse metadata.""" return self.get_metadata(self.read_string(), self.read_string()) @handles(MojoEvents.STACK) def parse_stack(self) -> MojoStack: """Parse a stack.""" assert self.mojo_version is not None return self.get_stack( pid=self.read_int(), iid=self.read_int() if self.mojo_version >= 3 else None, thread=self.read_string(), ) @handles(MojoEvents.FRAME) def parse_frame(self) -> MojoFrame: """Parse a frame.""" key = self.read_int() filename_index = self.read_int() scope_index = self.read_int() line = self.read_int() if self.mojo_version == 1: line_end = column = column_end = None else: line_end = self.read_int() column = self.read_int() column_end = self.read_int() return self.get_frame( key, filename_index, scope_index, line, line_end, column, column_end ) @handles(MojoEvents.FRAME_REF) def parse_frame_ref(self) -> MojoFrameReference: """Parse a frame reference.""" return self.get_frame_ref(self.read_int()) @handles(MojoEvents.FRAME_KERNEL) def parse_kernel_frame(self) -> MojoKernelFrame: """Parse kernel frame.""" return self.get_kernel_frame(self.read_string()) def _parse_metric(self, metric_type: MojoMetricType) -> MojoMetric: return self._get_metric(metric_type, self.read_int()) @handles(MojoEvents.METRIC_TIME) def parse_time_metric(self) -> MojoMetric: """Parse time metric.""" return self.get_time_metric(self.read_int()) @handles(MojoEvents.METRIC_MEMORY) def parse_memory_metric(self) -> MojoMetric: """Parse memory metric.""" return self._parse_metric(MojoMetricType.MEMORY) @handles(MojoEvents.FRAME_INVALID) def parse_invalid_frame(self) -> MojoSpecialFrame: """Parse invalid frame.""" return self.get_invalid_frame() @handles(MojoEvents.IDLE) def parse_idle(self) -> MojoIdle: """Parse idle event.""" return self.get_idle() @handles(MojoEvents.GC) def parse_gc(self) -> MojoSpecialFrame: """Parse a GC event.""" return self.get_gc() @handles(MojoEvents.STRING) def parse_string(self) -> MojoString: """Parse a string.""" return self.get_string(key=self.read_int(), value=self.read_string()) @handles(MojoEvents.STRING_REF) def parse_string_ref(self) -> MojoStringReference: """Parse string reference.""" return self.get_string_ref(self.read_int()) @handles(MojoEvents.STACK_REPEAT) def parse_stack_repeat(self) -> MojoStackRepeat: """Parse a stack repeat event.""" return self.get_stack_repeat() @handles(MojoEvents.TASK_WAITER) def parse_task_waiter(self) -> MojoTaskWaiter: """Parse a task waiter edge.""" return self.get_task_waiter(self.read_int(), self.read_int()) @handles(MojoEvents.TASK_RUNNING) def parse_task_running(self) -> MojoTaskRunning: """Parse the running task of a sample.""" return self.get_task_running(self.read_int()) @handles(MojoEvents.TASK_STACK) def parse_task_stack(self) -> MojoTaskStack: """Parse the header of a task report.""" return self.get_task_stack(self.read_int(), self.read_int(), self.read_int()) def parse_event(self) -> t.Optional[MojoEvent]: """Parse a single event.""" try: (event_id,) = self.read() except ValueError: return None try: event = t.cast(dict, self.__handlers__)[event_id](self) object.__setattr__(event, "raw", bytes(self._last_bytes)) self._last_bytes.clear() return event except KeyError as exc: raise ValueError( f"Unhandled event: {event_id} (offset: {self._offset}, last read: {self._last_read})" ) from exc except Exception as exc: msg = f"Invalid byte sequence at offset {self._offset} (last read: {self._last_read})" raise MojoParseError(msg) from exc def parse(self) -> t.Iterator[MojoEvent]: """Parse the MOJO file. Produces a stream of events. """ # Check the MOJO header if self.mojo_version is None: if self.read(3) != b"MOJ": raise ValueError("Not a MOJO stream") # Get the MOJO version self.mojo_version = self.read_int() # Store the header bytes self.header = bytes(self._last_bytes) self._last_bytes.clear() # Parse the MOJO events while True: if (e := self.parse_event()) is None: return yield e def unwind(self) -> None: """Read the MOJO file.""" for _ in self: pass def __iter__(self) -> t.Iterator[AustinEvent]: """Iterate over the MOJO file.""" for e in self.parse(): if isinstance(e, MojoMetadata): yield AustinMetadata(e.key, e.value) elif isinstance(e, MojoStack): if self.samples: yield self.samples[-1] if self._running_sample is not None: yield self._finalize_sample(last=True) def hexdump( self, start: int, end: int, highlight: t.Set[int] = set(), # noqa: B006 ) -> None: """Print a hexdump of the MOJO file.""" self.mojo.seek(start) data = self.mojo.read(end - start) print(f"Hexdump from {start} ({start:02x}) to {end} ({end:02x}):") print("Offset :", " ".join(f"{i:02x}" for i in range(16)), "| ASCII") print("--------", "-" * 48, "|", "-" * 16) for i in range(0, len(data), 16): # highlight the bytes at the given offset with bold yellow using ANSI escape codes line = " ".join( f"\033[1;33m{b:02x}\033[0m" if o in highlight else f"{b:02x}" for o, b in enumerate(data[i : i + 16], start + i) ) rep = "".join(chr(b) if 32 <= b < 127 else "." for b in data[i : i + 16]) print(f"{start + i:08x}: {line} | {rep}") class AsyncMojoStreamReader(BaseMojoStreamReader): """Asynchronous MOJO stream reader. Converts a stream of MOJO events into Austin events, that is samples and metadata. """ async def read(self, n: int = 1) -> bytes: """Read bytes from the MOJO file.""" data = await t.cast(asyncio.StreamReader, self.mojo).read(n) return self._read(data, n) async def read_int(self) -> int: while True: if (n := self._int_reader.send(await self.read())) is not None: return n async def read_string(self) -> str: """Read a string from the MOJO file.""" while True: if (s := self._str_reader.send(await self.read())) is not None: return s @handles(MojoEvents.METADATA) async def parse_metadata(self) -> MojoMetadata: """Parse metadata.""" return self.get_metadata(await self.read_string(), await self.read_string()) @handles(MojoEvents.STACK) async def parse_stack(self) -> MojoStack: """Parse a stack.""" assert self.mojo_version is not None return self.get_stack( pid=await self.read_int(), iid=await self.read_int() if self.mojo_version >= 3 else None, thread=await self.read_string(), ) @handles(MojoEvents.FRAME) async def parse_frame(self) -> MojoFrame: """Parse a frame.""" key = await self.read_int() filename_index = await self.read_int() scope_index = await self.read_int() line = await self.read_int() if self.mojo_version == 1: line_end = column = column_end = None else: line_end = await self.read_int() column = await self.read_int() column_end = await self.read_int() return self.get_frame( key, filename_index, scope_index, line, line_end, column, column_end ) @handles(MojoEvents.FRAME_REF) async def parse_frame_ref(self) -> MojoFrameReference: """Parse a frame reference.""" return self.get_frame_ref(await self.read_int()) @handles(MojoEvents.FRAME_KERNEL) async def parse_kernel_frame(self) -> MojoKernelFrame: """Parse kernel frame.""" return self.get_kernel_frame(await self.read_string()) async def _parse_metric(self, metric_type: MojoMetricType) -> MojoMetric: return self._get_metric(metric_type, await self.read_int()) @handles(MojoEvents.METRIC_TIME) async def parse_time_metric(self) -> MojoMetric: """Parse time metric.""" return self.get_time_metric(await self.read_int()) @handles(MojoEvents.METRIC_MEMORY) async def parse_memory_metric(self) -> MojoMetric: """Parse memory metric.""" return await self._parse_metric(MojoMetricType.MEMORY) @handles(MojoEvents.FRAME_INVALID) async def parse_invalid_frame(self) -> MojoSpecialFrame: """Parse invalid frame.""" return self.get_invalid_frame() @handles(MojoEvents.IDLE) async def parse_idle(self) -> MojoIdle: """Parse idle event.""" return self.get_idle() @handles(MojoEvents.GC) async def parse_gc(self) -> MojoSpecialFrame: """Parse a GC event.""" return self.get_gc() @handles(MojoEvents.STRING) async def parse_string(self) -> MojoString: """Parse a string.""" return self.get_string( key=await self.read_int(), value=await self.read_string() ) @handles(MojoEvents.STRING_REF) async def parse_string_ref(self) -> MojoStringReference: """Parse string reference.""" return self.get_string_ref(await self.read_int()) @handles(MojoEvents.STACK_REPEAT) async def parse_stack_repeat(self) -> MojoStackRepeat: """Parse a stack repeat event.""" return self.get_stack_repeat() @handles(MojoEvents.TASK_WAITER) async def parse_task_waiter(self) -> MojoTaskWaiter: """Parse a task waiter edge.""" return self.get_task_waiter(await self.read_int(), await self.read_int()) @handles(MojoEvents.TASK_RUNNING) async def parse_task_running(self) -> MojoTaskRunning: """Parse the running task of a sample.""" return self.get_task_running(await self.read_int()) @handles(MojoEvents.TASK_STACK) async def parse_task_stack(self) -> MojoTaskStack: """Parse the header of a task report.""" return self.get_task_stack( await self.read_int(), await self.read_int(), await self.read_int() ) async def parse_event(self) -> t.Optional[MojoEvent]: """Parse a single event.""" try: (event_id,) = await self.read() except ValueError: return None try: event = await t.cast(dict, self.__handlers__)[event_id](self) object.__setattr__(event, "raw", bytes(self._last_bytes)) self._last_bytes.clear() return event except KeyError as exc: raise ValueError( f"Unhandled event: {event_id} (offset: {self._offset}, last read: {self._last_read})" ) from exc except Exception as exc: msg = f"Invalid byte sequence at offset {self._offset} (last read: {self._last_read})" raise MojoParseError(msg) from exc async def parse(self) -> t.AsyncIterator[MojoEvent]: """Parse the MOJO file. Produces a stream of events. """ # Check the MOJO header if self.mojo_version is None: if await self.read(3) != b"MOJ": raise ValueError("Not a MOJO stream") # Get the MOJO version self.mojo_version = await self.read_int() # Store the header bytes self.header = bytes(self._last_bytes) self._last_bytes.clear() # Parse the MOJO events while True: if (e := await self.parse_event()) is None: return yield e def unwind(self) -> None: """Read the MOJO file.""" for _ in self: pass async def __aiter__(self) -> t.AsyncIterator[AustinEvent]: """Iterate over the MOJO file.""" async for e in self.parse(): if isinstance(e, MojoMetadata): yield AustinMetadata(e.key, e.value) elif isinstance(e, MojoStack): if self.samples: yield self.samples[-1] if self._running_sample is not None: yield self._finalize_sample(last=True) class BaseMojoStreamWriter(abc.ABC): """Base class for MOJO stream writers.""" HEADER = b"MOJ\x04" def __init__(self, mojo: t.Any) -> None: self.mojo = mojo self._frames: t.Dict[AustinFrame, MojoFrame] = {} self._strings: t.Dict[str, MojoString] = { EMPTY.value: EMPTY, UNKNOWN.value: UNKNOWN, } self._meta: t.Dict[str, str] = {} self._mode: t.Optional[str] = None self._gc = False self._new_entries: t.List[MojoEvent] = [] self._task_ids: t.Dict[int, int] = {} # The waiter set last written for each task, and the tasks written so # far (see write_tasks). self._written_waiters: t.Dict[int, t.FrozenSet[int]] = {} self._written_tasks: t.Set[int] = set() def set_metadata(self, metadata: AustinMetadata) -> None: self._meta[metadata.name] = metadata.value if metadata.name == "gc" and metadata.value == "on": self._gc = True elif metadata.name == "mode": self._mode = metadata.value def resolve_string(self, value: str) -> MojoString: try: return self._strings[value] except KeyError: self._strings[value] = mojo_string = MojoString(len(self._strings), value) self._new_entries.append(mojo_string) return mojo_string def resolve_task_id(self, task_id: int) -> int: try: return self._task_ids[task_id] except KeyError: # 0 is reserved: it stands for no task (e.g. an unknown waiter). compact_id = len(self._task_ids) + 1 self._task_ids[task_id] = compact_id return compact_id def resolve_frame(self, frame: AustinFrame) -> MojoFrame: try: return self._frames[frame] except KeyError: self._frames[frame] = mojo_frame = MojoFrame( len(self._frames), self.resolve_string(frame.filename), self.resolve_string(frame.function), frame.line, frame.line_end or 0, frame.column or 0, frame.column_end or 0, ) self._new_entries.append(mojo_frame) return mojo_frame def _collect_tasks( self, tasks: t.Sequence[AustinTask], seen: t.Dict[int, AustinTask], edges: t.Dict[int, t.Set[int]], ) -> None: """Flatten a root-task list into its distinct tasks and waiter edges. A task can legitimately appear more than once (once per waiter, if it has more than one -- see AustinTask's own docstring on ``awaiting``), so this collects each task_id's own stack exactly once (``seen``, first occurrence wins) and every one of its waiters together (``edges``), rather than re-walking and re-emitting it once per occurrence. """ for task in tasks: seen.setdefault(task.task_id, task) for awaited in task.awaiting: edges.setdefault(awaited.task_id, set()).add(task.task_id) self._collect_tasks(task.awaiting, seen, edges) def write_tasks(self, sample: AustinSample) -> int: """Write a sample's task reports, then the waiter edges that changed. Each report is written once, as it was read, without its elapsed time, which readers work out from the samples. Reports that leave a task where it was, like end-of-stream reports, aren't written: readers produce those themselves. Waiter edges are written as the complete waiter set of every task whose set differs from the last one written for it, contiguously (required for MojoStreamReader.get_task_waiter's own batch-replace logic to reconstruct a multi-waiter task correctly), and an emptied set as a single edge to the reserved 0. See _collect_tasks for why each task is considered exactly once. A task in the sample's tree that the stream hasn't introduced yet (e.g. a sample built by hand, with no reports) is introduced with a report of its own, carrying no time: readers only learn of tasks from reports. """ size = 0 seen: t.Dict[int, AustinTask] = {} edges: t.Dict[int, t.Set[int]] = {} self._collect_tasks(sample.tasks, seen, edges) reported = {r.task_id for r in sample.task_reports} introductions = tuple( AustinTaskReport( task_id=task.task_id, name=task.name, frames=task.frames, previous=None, elapsed=0, ) for task in seen.values() if task.task_id not in self._written_tasks and task.task_id not in reported and task.frames ) for report in sample.task_reports + introductions: if report.frames and report.frames == report.previous: continue name_key = ( self.resolve_string(report.name).key if report.name and report.frames else 0 ) task_frames = [self.resolve_frame(f) for f in report.frames] while self._new_entries: size += self.mojo.write(self._new_entries.pop(0).to_bytes()) size += self.mojo.write( MojoTaskStack( task_id=self.resolve_task_id(report.task_id), name_key=name_key, frame_count=len(task_frames), ).to_bytes() ) for frame in task_frames: size += self.mojo.write(MojoFrameReference(frame).to_bytes()) if report.closing: self._written_waiters.pop(report.task_id, None) self._written_tasks.discard(report.task_id) else: self._written_tasks.add(report.task_id) for task_id in seen: waiter_ids = frozenset(edges.get(task_id, ())) if waiter_ids == self._written_waiters.get(task_id, frozenset()): continue self._written_waiters[task_id] = waiter_ids compact_task_id = self.resolve_task_id(task_id) for waiter_id in waiter_ids or (0,): size += self.mojo.write( MojoTaskWaiter( task_id=compact_task_id, waiter_id=self.resolve_task_id(waiter_id) if waiter_id else 0, ).to_bytes() ) return size @abc.abstractmethod def write(self, event: AustinEvent) -> int: ... # noqa: E704 class MojoStreamWriter(BaseMojoStreamWriter): """MOJO stream writer.""" def __init__(self, mojo: t.BinaryIO) -> None: super().__init__(mojo) mojo.write(self.HEADER) def write(self, event: AustinEvent) -> int: size = 0 if isinstance(event, AustinMetadata): self.set_metadata(event) size += self.mojo.write( MojoMetadata(key=event.name, value=event.value).to_bytes() ) elif isinstance(event, AustinSample): size += self.mojo.write( MojoStack( pid=event.pid, iid=event.iid or 0, tid=event.thread ).to_bytes() ) # Task-scan payload (task reports, then waiter edges) is written # before this sample's own frames -- it # rides between the enclosing MOJO_STACK header and the sample's # own frame dump on the real wire too (see austin's own # py_proc.c, _py_proc__sample_threads). size += self.write_tasks(event) if event.running_task is not None: size += self.mojo.write( MojoTaskRunning(self.resolve_task_id(event.running_task)).to_bytes() ) frames = ( [self.resolve_frame(f) for f in event.frames] if event.frames else [] ) while self._new_entries: size += self.mojo.write(self._new_entries.pop(0).to_bytes()) for frame in frames: size += self.mojo.write(MojoFrameReference(frame).to_bytes()) if event.gc: size += self.mojo.write(bytes([MojoEvents.GC])) if self._mode == "full": if event.idle: size += self.mojo.write(bytes([MojoEvents.IDLE])) size += self.mojo.write( MojoMetric(MojoMetricType.TIME, event.metrics.time or 0).to_bytes() ) size += self.mojo.write( MojoMetric( MojoMetricType.MEMORY, event.metrics.memory or 0 ).to_bytes() ) elif self._mode == "memory": size += self.mojo.write( MojoMetric( MojoMetricType.MEMORY, event.metrics.memory or 0 ).to_bytes() ) else: size += self.mojo.write( MojoMetric(MojoMetricType.TIME, event.metrics.time or 0).to_bytes() ) else: msg = f"Unhandled event type {type(event)}" raise TypeError(msg) return size austin_python-2.6.0/austin/format/mojo_compress.py0000644000000000000000000000717713615410400017403 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import typing as t from io import BytesIO from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.format.mojo import MojoStreamReader from austin.format.mojo import MojoStreamWriter def compress(source: t.BinaryIO, dest: t.BinaryIO) -> None: """Compress a MOJO source stream. Aggregates all metrics on equal stacks, where equality is determined by pid, interpreter id, thread, frames, gc flag, and idle flag. """ time_stats: t.Dict[AustinSample.Key, int] = {} memory_stats: t.Dict[AustinSample.Key, int] = {} metadata: t.List[AustinMetadata] = [] samples: t.Dict[AustinSample.Key, AustinSample] = {} reader = MojoStreamReader(source) for event in reader: if isinstance(event, AustinMetadata): metadata.append(event) continue assert isinstance(event, AustinSample) key = event.key() if key not in samples: samples[key] = event if event.metrics.time is not None: time_stats[key] = time_stats.get(key, 0) + event.metrics.time if event.metrics.memory is not None: memory_stats[key] = memory_stats.get(key, 0) + event.metrics.memory writer = MojoStreamWriter(dest) for m in metadata: writer.write(m) for key in samples: writer.write( AustinSample.from_key_and_metrics( key, AustinMetrics( time=time_stats.get(key), memory=memory_stats.get(key), ), ) ) def main() -> None: """mojo-compress entry point.""" from argparse import ArgumentParser arg_parser = ArgumentParser( prog="mojo-compress", description=( "Compress a MOJO sample file by aggregating the collected samples." ), ) arg_parser.add_argument( "input", type=str, help="The input MOJO file.", ) arg_parser.add_argument( "output", type=str, help="The output MOJO file; defaults to the input file for in-place compression.", nargs="?", default=None, ) arg_parser.add_argument("-V", "--version", action="version", version="0.1.0") args = arg_parser.parse_args() try: with open(args.input, "rb") as fin: buffer = BytesIO() compress(fin, buffer) output_path = args.output or args.input with open(output_path, "wb") as fout: fout.write(buffer.getvalue()) except FileNotFoundError: print(f"No such input file: {args.input}") exit(1) if __name__ == "__main__": main() austin_python-2.6.0/austin/format/speedscope.py0000644000000000000000000002031613615410400016644 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import json from dataclasses import asdict from dataclasses import dataclass from dataclasses import field from enum import Enum from pathlib import Path from typing import Dict from typing import List from typing import Optional from typing import TextIO from typing import Union from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinSample from austin.format import Mode from austin.format import open_profile from austin.format import stderr_progress __version__ = "0.3.1" SpeedscopeJson = Dict SpeedscopeWeight = int ProfileName = str class Units(Enum): """Metric units.""" MICROSECONDS = "microseconds" BYTES = "bytes" @dataclass(frozen=True) class SpeedscopeFrame: """Speedscope Frame object.""" name: str file: str line: int @dataclass class SpeedscopeProfile: """Speedscope Profile object.""" name: ProfileName unit: str startValue: int = 0 endValue: int = 0 samples: List[List[int]] = field(default_factory=list) weights: List[SpeedscopeWeight] = field(default_factory=list) type: str = "sampled" def add_sample(self, stack: List[int], weight: SpeedscopeWeight) -> None: """Add a sample to the profile.""" self.samples.append(stack) self.weights.append(weight) self.endValue += weight class Speedscope: """Speedscope JSON generator.""" def __init__( self, name: str, mode: Union[Mode, str], indent: Optional[int] = None ) -> None: self.name = name self.indent = indent self.mode = mode self.mode = Mode.from_metadata(mode) if isinstance(mode, str) else mode self.profiles: List[SpeedscopeProfile] = [] self.profile_map: Dict[int, Dict[str, Dict[str, SpeedscopeProfile]]] = {} self.frames: List[dict] = [] self.frame_map: Dict[AustinFrame, int] = {} def get_frame(self, frame: AustinFrame) -> int: """Get the index of an observed frame.""" if frame in self.frame_map: return self.frame_map[frame] index = len(self.frames) self.frame_map[frame] = index self.frames.append( asdict(SpeedscopeFrame(frame.function, frame.filename, frame.line)) ) return index def get_profile( self, pid: int, iid: Optional[int], thread: str, metric: str ) -> SpeedscopeProfile: """Get the profile for the given pid, thread and profile metric.""" prefix = { "cpu": "CPU time", "wall": "Wall time", "m+": "Memory allocation", "m-": "Memory deallocation", }[metric] units = Units.BYTES if metric.startswith("m") else Units.MICROSECONDS thread_key = f"{iid}:{thread}" if iid is not None else thread profiles = self.profile_map.setdefault(pid, {}).setdefault(thread_key, {}) if metric in profiles: return profiles[metric] self.profiles.append( SpeedscopeProfile( name=f"{prefix} profile for {pid}:{thread_key}", unit=units.value, ) ) return profiles.setdefault( metric, self.profiles[-1], ) def add_sample(self, sample: AustinSample) -> None: """Add a sample to the generator.""" if sample.frames is None: return if self.mode == Mode.CPU: _ = zip(("cpu",), (sample.metrics.time,)) elif self.mode == Mode.WALL: _ = zip(("wall",), (sample.metrics.time,)) elif self.mode == Mode.MEMORY: assert sample.metrics.memory is not None memory_alloc = sample.metrics.memory if sample.metrics.memory >= 0 else 0 memory_dealloc = -sample.metrics.memory if sample.metrics.memory < 0 else 0 _ = zip(("m+", "m-"), (memory_alloc, memory_dealloc)) elif self.mode == Mode.FULL: assert sample.metrics.memory is not None wall_time = sample.metrics.time cpu_time = 0 if sample.idle else wall_time memory_alloc = sample.metrics.memory if sample.metrics.memory >= 0 else 0 memory_dealloc = -sample.metrics.memory if sample.metrics.memory < 0 else 0 _ = zip( ("cpu", "wall", "m+", "m-"), (cpu_time, wall_time, memory_alloc, memory_dealloc), ) for prefix, metric in _: if metric == 0: continue self.get_profile(sample.pid, sample.iid, sample.thread, prefix).add_sample( [self.get_frame(frame) for frame in sample.frames], metric ) def asdict(self) -> SpeedscopeJson: """Return the JSON as a Python dictionary.""" return { "$schema": "https://www.speedscope.app/file-format-schema.json", "shared": {"frames": self.frames}, "profiles": sorted( [asdict(profile) for profile in self.profiles], key=lambda p: p["name"].rsplit(maxsplit=1)[-1], ), "name": self.name, "exporter": f"Austin2Speedscope Converter {__version__}", } def dump(self, stream: TextIO) -> None: """Dump the JSON to a text stream.""" json.dump( self.asdict(), stream, indent=self.indent, ) def main() -> None: """austin2speedscope entry point.""" import os from argparse import ArgumentParser arg_parser = ArgumentParser( prog="austin2speedscope", description=( "Convert Austin generated profiles to the Speedscope JSON format " "accepted by https://speedscope.app. The output will contain a profile " "for each thread and metric included in the input file." ), ) arg_parser.add_argument( "input", type=Path, help="The input MOJO or collapsed stack file containing Austin samples.", ) arg_parser.add_argument( "output", type=Path, help="The name of the output Speedscope JSON file." ) arg_parser.add_argument( "--indent", type=int, help="Give a non-null value to prettify the JSON output." ) arg_parser.add_argument("-V", "--version", action="version", version=__version__) args = arg_parser.parse_args() try: progress = stderr_progress(f"Reading {args.input} ...") with open_profile(args.input, progress) as fin: speedscope = None for event in fin: if isinstance(event, AustinMetadata): if event.name == "mode": speedscope = Speedscope( os.path.basename(args.input), event.value, args.indent ) elif isinstance(event, AustinSample): if speedscope is not None: speedscope.add_sample(event) else: raise ValueError("Invalid sample found in input file") if speedscope is None: raise RuntimeError("Invalid input file: no mode metadata found") with args.output.open("w") as fout: speedscope.dump(fout) except FileNotFoundError: print(f"No such input file: {args.input}") exit(1) if __name__ == "__main__": main() austin_python-2.6.0/austin/format/pprof/__init__.py0000644000000000000000000001567613615410400017414 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from typing import Any from typing import BinaryIO from typing import Dict from typing import Tuple from typing import Union from austin.events import AustinFrame from austin.events import AustinSample from austin.format import Mode from austin.format.pprof.profile import Function from austin.format.pprof.profile import Label from austin.format.pprof.profile import Line from austin.format.pprof.profile import Location from austin.format.pprof.profile import Profile from austin.format.pprof.profile import Sample from austin.format.pprof.profile import ValueType PROCESS_ID_LABEL = "Process ID" THREAD_ID_LABEL = "Thread ID" INTERPRETER_ID_LABEL = "Interpreter ID" CPU_TYPE = "CPU time" WALL_TYPE = "Wall time" TIME_UNIT = "μs" MEMORY_ALLOC_TYPE = "Allocated memory" MEMORY_DEALLOC_TYPE = "Deallocated memory" MEMORY_UNIT = "B" class PProf: """PProf generator class. Used to convert Austin collapsed format into the pprof protobuf format. """ def __init__(self, mode: Union[Mode, str]) -> None: self._string_table: Dict[str, int] = {} self._location_map: Dict[AustinFrame, int] = {} self._function_map: Dict[Tuple[str, str], int] = {} # Create the Profile message self.profile = Profile() self.profile.string_table.append("") # Add sample types according to the mode if isinstance(mode, str): self.mode = Mode.from_metadata(mode) if self.mode == Mode.MEMORY: self._add_memory_sample_types() elif self.mode == Mode.CPU: self._add_time_sample_type(CPU_TYPE) elif self.mode == Mode.WALL: self._add_time_sample_type(WALL_TYPE) elif self.mode == Mode.FULL: self._add_time_sample_type(CPU_TYPE) self._add_time_sample_type(WALL_TYPE) self._add_memory_sample_types() def _add_sample_type(self, type: str, unit: str) -> None: self.profile.sample_type.append( ValueType(type=self.get_string(type), unit=self.get_string(unit)) ) def _add_time_sample_type(self, type: str) -> None: self._add_sample_type(type, TIME_UNIT) def _add_memory_sample_types(self) -> None: self._add_sample_type(MEMORY_ALLOC_TYPE, MEMORY_UNIT) self._add_sample_type(MEMORY_DEALLOC_TYPE, MEMORY_UNIT) def get_string(self, string: str) -> int: """Get the string table index for the given string.""" try: return self._string_table[string] except KeyError: index = len(self.profile.string_table) self._string_table[string] = index self.profile.string_table.append(string) return index def add_label_to_sample(self, sample: Sample, key: Any, value: Any) -> None: """Add a sample label to the given sample. The ``key`` and ``value`` arguments are both converted to strings. """ sample.label.append( Label(key=self.get_string(str(key)), str=self.get_string(str(value))) ) def get_function(self, frame: AustinFrame) -> int: """Get the function id from the given Austin frame.""" key = (frame.function, frame.filename) try: return self._function_map[key] except KeyError: function = Function( id=len(self.profile.function) + 1, name=self.get_string(frame.function), filename=self.get_string(frame.filename), ) self.profile.function.append(function) self._function_map[key] = function.id return function.id def get_location(self, frame: AustinFrame) -> int: """Get the location id from the given Austin frame.""" try: return self._location_map[frame] except KeyError: location = Location( id=len(self.profile.location) + 1, line=[Line(function_id=self.get_function(frame), line=frame.line)], ) self.profile.location.append(location) self._location_map[frame] = location.id return location.id def add_sample(self, sample: AustinSample) -> None: """Add a sample to the pprof generator.""" # Create new pprof sample pprof_sample = Sample() self.profile.sample.append(pprof_sample) # Add process and thread id labels self.add_label_to_sample(pprof_sample, THREAD_ID_LABEL, sample.thread) self.add_label_to_sample(pprof_sample, PROCESS_ID_LABEL, sample.pid) if sample.iid is not None: self.add_label_to_sample(pprof_sample, INTERPRETER_ID_LABEL, sample.iid) # Add metrics if self.mode == Mode.FULL: wall_time = sample.metrics.time cpu_time = 0 if sample.idle else wall_time memory_alloc = sample.metrics.memory if sample.metrics.memory >= 0 else 0 memory_dealloc = -sample.metrics.memory if sample.metrics.memory < 0 else 0 pprof_sample.value.append(cpu_time) pprof_sample.value.append(wall_time) pprof_sample.value.append(memory_alloc) pprof_sample.value.append(memory_dealloc) elif self.mode == Mode.CPU: pprof_sample.value.append(sample.metrics.time) elif self.mode == Mode.WALL: pprof_sample.value.append(sample.metrics.time) elif self.mode == Mode.MEMORY: memory_alloc = sample.metrics.memory if sample.metrics.memory >= 0 else 0 memory_dealloc = -sample.metrics.memory if sample.metrics.memory < 0 else 0 pprof_sample.value.append(memory_alloc) pprof_sample.value.append(memory_dealloc) # Add locations. Top of the stack first. if sample.frames: for frame in sample.frames[::-1]: pprof_sample.location_id.append(self.get_location(frame)) def dump(self, stream: BinaryIO) -> None: """Dump the pprof protobuf message to the given binary stream.""" stream.write(self.profile.SerializeToString()) austin_python-2.6.0/austin/format/pprof/__main__.py0000644000000000000000000000533413615410400017363 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from argparse import ArgumentParser from pathlib import Path from austin.events import AustinMetadata from austin.events import AustinSample from austin.format import open_profile from austin.format import stderr_progress from austin.format.pprof import PProf def main() -> None: """austin2pprof entry point.""" arg_parser = ArgumentParser( prog="austin2pprof", description=( "Convert Austin generated profiles to the pprof protobuf format. " "See https://github.com/google/pprof for more details." ), ) arg_parser.add_argument( "input", type=Path, help="The input MOJO or collapsed stack file containing Austin samples.", ) arg_parser.add_argument( "output", type=Path, help="The name of the output pprof file.", ) arg_parser.add_argument("-V", "--version", action="version", version="0.2.1") args = arg_parser.parse_args() try: progress = stderr_progress(f"Reading {args.input} ...") with open_profile(args.input, progress) as fin: events = iter(fin) pprof = None for e in events: if isinstance(e, AustinMetadata) and e.name == "mode": pprof = PProf(mode=e.value) break else: raise RuntimeError("No mode metadata found in input file") assert pprof is not None # Read samples for e in events: if isinstance(e, AustinSample): pprof.add_sample(e) except FileNotFoundError: print(f"No such input file: {args.input}") exit(1) with open(args.output, "wb") as fout: pprof.dump(fout) if __name__ == "__main__": main() austin_python-2.6.0/austin/format/pprof/profile.proto0000644000000000000000000002121013615410400020005 0ustar00// Copyright 2016 Google Inc. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // Profile is a common stacktrace profile format. // // Measurements represented with this format should follow the // following conventions: // // - Consumers should treat unset optional fields as if they had been // set with their default value. // // - When possible, measurements should be stored in "unsampled" form // that is most useful to humans. There should be enough // information present to determine the original sampled values. // // - On-disk, the serialized proto must be gzip-compressed. // // - The profile is represented as a set of samples, where each sample // references a sequence of locations, and where each location belongs // to a mapping. // - There is a N->1 relationship from sample.location_id entries to // locations. For every sample.location_id entry there must be a // unique Location with that id. // - There is an optional N->1 relationship from locations to // mappings. For every nonzero Location.mapping_id there must be a // unique Mapping with that id. syntax = "proto3"; package perftools.profiles; option java_package = "com.google.perftools.profiles"; option java_outer_classname = "ProfileProto"; message Profile { // A description of the samples associated with each Sample.value. // For a cpu profile this might be: // [["cpu","nanoseconds"]] or [["wall","seconds"]] or [["syscall","count"]] // For a heap profile, this might be: // [["allocations","count"], ["space","bytes"]], // If one of the values represents the number of events represented // by the sample, by convention it should be at index 0 and use // sample_type.unit == "count". repeated ValueType sample_type = 1; // The set of samples recorded in this profile. repeated Sample sample = 2; // Mapping from address ranges to the image/binary/library mapped // into that address range. mapping[0] will be the main binary. repeated Mapping mapping = 3; // Useful program location repeated Location location = 4; // Functions referenced by locations repeated Function function = 5; // A common table for strings referenced by various messages. // string_table[0] must always be "". repeated string string_table = 6; // frames with Function.function_name fully matching the following // regexp will be dropped from the samples, along with their successors. int64 drop_frames = 7; // Index into string table. // frames with Function.function_name fully matching the following // regexp will be kept, even if it matches drop_functions. int64 keep_frames = 8; // Index into string table. // The following fields are informational, do not affect // interpretation of results. // Time of collection (UTC) represented as nanoseconds past the epoch. int64 time_nanos = 9; // Duration of the profile, if a duration makes sense. int64 duration_nanos = 10; // The kind of events between sampled ocurrences. // e.g [ "cpu","cycles" ] or [ "heap","bytes" ] ValueType period_type = 11; // The number of events between sampled occurrences. int64 period = 12; // Freeform text associated to the profile. repeated int64 comment = 13; // Indices into string table. // Index into the string table of the type of the preferred sample // value. If unset, clients should default to the last sample value. int64 default_sample_type = 14; } // ValueType describes the semantics and measurement units of a value. message ValueType { int64 type = 1; // Index into string table. int64 unit = 2; // Index into string table. } // Each Sample records values encountered in some program // context. The program context is typically a stack trace, perhaps // augmented with auxiliary information like the thread-id, some // indicator of a higher level request being handled etc. message Sample { // The ids recorded here correspond to a Profile.location.id. // The leaf is at location_id[0]. repeated uint64 location_id = 1; // The type and unit of each value is defined by the corresponding // entry in Profile.sample_type. All samples must have the same // number of values, the same as the length of Profile.sample_type. // When aggregating multiple samples into a single sample, the // result has a list of values that is the elemntwise sum of the // lists of the originals. repeated int64 value = 2; // label includes additional context for this sample. It can include // things like a thread id, allocation size, etc repeated Label label = 3; } message Label { int64 key = 1; // Index into string table // At most one of the following must be present int64 str = 2; // Index into string table int64 num = 3; // Should only be present when num is present. // Specifies the units of num. // Use arbitrary string (for example, "requests") as a custom count unit. // If no unit is specified, consumer may apply heuristic to deduce the unit. // Consumers may also interpret units like "bytes" and "kilobytes" as memory // units and units like "seconds" and "nanoseconds" as time units, // and apply appropriate unit conversions to these. int64 num_unit = 4; // Index into string table } message Mapping { // Unique nonzero id for the mapping. uint64 id = 1; // Address at which the binary (or DLL) is loaded into memory. uint64 memory_start = 2; // The limit of the address range occupied by this mapping. uint64 memory_limit = 3; // Offset in the binary that corresponds to the first mapped address. uint64 file_offset = 4; // The object this entry is loaded from. This can be a filename on // disk for the main binary and shared libraries, or virtual // abstractions like "[vdso]". int64 filename = 5; // Index into string table // A string that uniquely identifies a particular program version // with high probability. E.g., for binaries generated by GNU tools, // it could be the contents of the .note.gnu.build-id field. int64 build_id = 6; // Index into string table // The following fields indicate the resolution of symbolic info. bool has_functions = 7; bool has_filenames = 8; bool has_line_numbers = 9; bool has_inline_frames = 10; } // Describes function and line table debug information. message Location { // Unique nonzero id for the location. A profile could use // instruction addresses or any integer sequence as ids. uint64 id = 1; // The id of the corresponding profile.Mapping for this location. // It can be unset if the mapping is unknown or not applicable for // this profile type. uint64 mapping_id = 2; // The instruction address for this location, if available. It // should be within [Mapping.memory_start...Mapping.memory_limit] // for the corresponding mapping. A non-leaf address may be in the // middle of a call instruction. It is up to display tools to find // the beginning of the instruction if necessary. uint64 address = 3; // Multiple line indicates this location has inlined functions, // where the last entry represents the caller into which the // preceding entries were inlined. // // E.g., if memcpy() is inlined into printf: // line[0].function_name == "memcpy" // line[1].function_name == "printf" repeated Line line = 4; // Provides an indication that multiple symbols map to this location's // address, for example due to identical code folding by the linker. In that // case the line information above represents one of the multiple // symbols. This field must be recomputed when the symbolization state of the // profile changes. bool is_folded = 5; } message Line { // The id of the corresponding profile.Function for this line. uint64 function_id = 1; // Line number in source code. int64 line = 2; } message Function { // Unique nonzero id for the function. uint64 id = 1; // Name of the function, in human-readable form if available. int64 name = 2; // Index into string table // Name of the function, as identified by the system. // For instance, it can be a C++ mangled name. int64 system_name = 3; // Index into string table // Source file containing the function. int64 filename = 4; // Index into string table // Line number in source file. int64 start_line = 5; } austin_python-2.6.0/austin/format/pprof/profile.py0000644000000000000000000001347513615410400017310 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2026 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . """Minimal pprof protobuf messages. This is a dependency-free implementation of the subset of the messages in ``profile.proto`` that is needed to produce pprof profiles. Messages are serialised with the same field ordering and encoding rules used by the reference protobuf implementation, so the output is byte-for-byte identical. """ import typing as t from dataclasses import dataclass from dataclasses import field # Wire types VARINT = 0 LEN = 2 # Field kinds SCALAR = 0 # singular varint, omitted when zero STRING = 1 # repeated string, always emitted MESSAGE = 2 # repeated message, always emitted PACKED = 3 # repeated varint, packed, omitted when empty def _varint(n: int) -> bytes: # Negative int64 values are encoded as their 64-bit two's complement. n &= 0xFFFFFFFFFFFFFFFF buffer = bytearray() while n > 0x7F: buffer.append((n & 0x7F) | 0x80) n >>= 7 buffer.append(n) return bytes(buffer) def _key(number: int, wire_type: int) -> bytes: return _varint((number << 3) | wire_type) def _len_delimited(number: int, data: bytes) -> bytes: return _key(number, LEN) + _varint(len(data)) + data class Message: """Base protobuf message.""" # Field number, attribute name and kind, sorted by field number. __fields__: t.ClassVar[t.Tuple[t.Tuple[int, str, int], ...]] = () def SerializeToString(self) -> bytes: # noqa: N802 """Serialise the message to the protobuf wire format.""" buffer = bytearray() for number, name, kind in self.__fields__: value = getattr(self, name) if kind == SCALAR: if value: buffer += _key(number, VARINT) + _varint(int(value)) elif kind == STRING: for s in value: buffer += _len_delimited(number, s.encode()) elif kind == MESSAGE: for m in value: buffer += _len_delimited(number, m.SerializeToString()) elif kind == PACKED: if value: buffer += _len_delimited( number, b"".join(_varint(v) for v in value) ) return bytes(buffer) @dataclass class ValueType(Message): """Sample value type.""" __fields__ = ((1, "type", SCALAR), (2, "unit", SCALAR)) type: int = 0 unit: int = 0 @dataclass class Label(Message): """Sample label.""" __fields__ = ( (1, "key", SCALAR), (2, "str", SCALAR), (3, "num", SCALAR), (4, "num_unit", SCALAR), ) key: int = 0 str: int = 0 num: int = 0 num_unit: int = 0 @dataclass class Sample(Message): """Profile sample.""" __fields__ = ( (1, "location_id", PACKED), (2, "value", PACKED), (3, "label", MESSAGE), ) location_id: t.List[int] = field(default_factory=list) value: t.List[int] = field(default_factory=list) label: t.List[Label] = field(default_factory=list) @dataclass class Line(Message): """Location line.""" __fields__ = ((1, "function_id", SCALAR), (2, "line", SCALAR)) function_id: int = 0 line: int = 0 @dataclass class Location(Message): """Profile location.""" __fields__ = ( (1, "id", SCALAR), (2, "mapping_id", SCALAR), (3, "address", SCALAR), (4, "line", MESSAGE), (5, "is_folded", SCALAR), ) id: int = 0 mapping_id: int = 0 address: int = 0 line: t.List[Line] = field(default_factory=list) is_folded: bool = False @dataclass class Function(Message): """Profile function.""" __fields__ = ( (1, "id", SCALAR), (2, "name", SCALAR), (3, "system_name", SCALAR), (4, "filename", SCALAR), (5, "start_line", SCALAR), ) id: int = 0 name: int = 0 system_name: int = 0 filename: int = 0 start_line: int = 0 @dataclass class Profile(Message): """The pprof profile.""" __fields__ = ( (1, "sample_type", MESSAGE), (2, "sample", MESSAGE), (4, "location", MESSAGE), (5, "function", MESSAGE), (6, "string_table", STRING), (7, "drop_frames", SCALAR), (8, "keep_frames", SCALAR), (9, "time_nanos", SCALAR), (10, "duration_nanos", SCALAR), (12, "period", SCALAR), (13, "comment", PACKED), (14, "default_sample_type", SCALAR), ) sample_type: t.List[ValueType] = field(default_factory=list) sample: t.List[Sample] = field(default_factory=list) location: t.List[Location] = field(default_factory=list) function: t.List[Function] = field(default_factory=list) string_table: t.List[str] = field(default_factory=list) drop_frames: int = 0 keep_frames: int = 0 time_nanos: int = 0 duration_nanos: int = 0 period: int = 0 comment: t.List[int] = field(default_factory=list) default_sample_type: int = 0 austin_python-2.6.0/austin/tools/diff.py0000644000000000000000000001162013615410400015270 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from argparse import ArgumentParser from difflib import SequenceMatcher from io import StringIO from typing import List from typing import Set from typing import TextIO from typing import Tuple from austin.events import AustinFrame from austin.events import AustinMetrics from austin.format.collapsed_stack import InvalidSample from austin.format.collapsed_stack import parse_collapsed_stack from austin.format.compress import compress FoldedStack = List[AustinFrame] def _similarities( x: List[FoldedStack], y: List[FoldedStack] ) -> List[Tuple[Tuple[int, int], float]]: """O(n * log(n)), n = len(x) * len(y).""" def score(a: List[AustinFrame], b: List[AustinFrame]) -> float: """Score two folded stacks.""" if not len(a) and not len(b): return 1 return SequenceMatcher(a=a, b=b).ratio() - abs(len(a) - len(b)) / ( len(a) + len(b) ) return sorted( [((i, j), score(a, b)) for i, a in enumerate(x) for j, b in enumerate(y)], key=lambda x: x[1], reverse=True, ) def _match( x: List[FoldedStack], y: List[FoldedStack], threshold: float = 0.0 ) -> Set[Tuple[int, int]]: """O(len(x) * len(y)).""" ss = _similarities(x, y) mx, my = set(), set() matches = set() for (i, j), s in ss: if i in mx or j in my or s <= threshold: continue mx.add(i) my.add(j) matches.add((i, j)) return matches def diff(a: TextIO, b: TextIO) -> str: """Compare stacks and return a - b. The algorithm attempts to match stacks that look similar and returns only positive time differences (that is, stacks of b that took longer than those in a are not reported), plus any new stacks that are not in b. The return value is a string with collapsed stacks followed by the delta of the metrics on each line. """ def compressed(source: TextIO) -> str: """Compress the source.""" _ = StringIO() compress(source, _) return _.getvalue() def get_frames(text: str) -> List[Tuple[FoldedStack, AustinMetrics]]: """Get the folded stacks and metrics from a string of samples.""" x = [] for _ in text.splitlines(keepends=False): try: sample = parse_collapsed_stack(_) x.append((sample.frames, sample.metrics)) except InvalidSample: continue return x fa = get_frames(compressed(a)) fb = get_frames(compressed(b)) ms = _match([frames for frames, _ in fa], [frames for frames, _ in fb]) matched = set() stacks = [] time_only = True # Matched stacks for i, j in ms: matched.add(i) delta = fa[i][1] - fb[j][1] if delta >= 0: stacks.append((fa[i][0], delta)) if delta.memory_alloc or delta.memory_dealloc: time_only = False # New stacks for i in [_ for _ in range(len(fa)) if _ not in matched]: f, m = fa[i] stacks.append((f, m)) return "\n".join( [ ";".join([str(_) for _ in f]) + " " + str(m.time if time_only else m) for f, m in stacks ] ) def main() -> None: """Diff tool for Austin samples.""" argp = ArgumentParser( prog="austin-diff", description=("Compute the diff between two austin frame stack sample files"), ) argp.add_argument("a", type=str, help="The minuend collapsed stacks") argp.add_argument("b", type=str, help="The subtrahend collapsed stacks") argp.add_argument("-o", "--output", type=str, help="The output file") argp.add_argument("-V", "--version", action="version", version="0.1.0") args = argp.parse_args() with open(args.a) as a, open(args.b) as b: result = diff(a, b) if args.output is not None: with open(args.output, "w") as fout: fout.write(result) else: print(result) if __name__ == "__main__": main() austin_python-2.6.0/austin/tools/mojodbg.py0000644000000000000000000000540013615410400016000 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2025 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import typing as t from argparse import ArgumentParser from pathlib import Path from traceback import print_exc from austin.format.mojo import MojoEvent from austin.format.mojo import MojoStreamReader __version__ = "0.1.0" def mojodbg(mojo: MojoStreamReader, echo: bool = False) -> None: offset = 4 last_event_data: t.Tuple[t.Optional[MojoEvent], int] = (None, 0) try: for e in mojo.parse(): if echo: print(e) last_event_data = (e, offset) offset = mojo._offset + 1 except Exception as exc: last_event, last_event_offset = last_event_data print(f"Error at offset {offset:02x}: {exc}") print() print_exc() print() if last_event is not None: print( f"Last event {last_event} at {last_event_offset:02x}-{last_event_offset + len(last_event.raw):02x}" ) print() base = last_event_offset & ~15 # Show the last 16 bytes from the last event mojo.hexdump(base, base + 64, {offset, last_event_offset}) else: print("MOJO file parsed successfully.") def main() -> None: argp = ArgumentParser(prog="mojodbg", description="Debug MOJO files.") argp.add_argument("input", type=Path, help="The MOJO file to debug.") argp.add_argument( "-e", "echo", action="store_true", help="Echo all the MOJO events" ) argp.add_argument("-V", "--version", action="version", version=__version__) args = argp.parse_args() try: mojodbg(MojoStreamReader(args.input.expanduser().open("rb")), args.echo) except FileNotFoundError: print(f"No such input file: {args.input}") exit(2) except Exception as e: print(f"Unexpected error: {e}") exit(1) if __name__ == "__main__": main() austin_python-2.6.0/austin/tools/query.py0000644000000000000000000002345213615410400015533 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2026 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . """Query Austin profiles from the command line. Each sub-command runs the :class:`austin.query.ProfileQuery` query of the same name on a MOJO or collapsed stack file, e.g.:: austin-query profile.mojo top -n 10 austin-query profile.mojo callers db.py:execute --thread main austin-query profile.mojo tasks --json austin-query profile.mojo task-stacks worker-0 """ import json import sys import typing as t from argparse import ArgumentParser from argparse import Namespace from argparse import RawDescriptionHelpFormatter from austin.query import NoMatchError from austin.query import ProfileQuery EPILOG = """\ selectors (find, lines, callers, callees, tree, --contains): func, file:func, file:func:line file matches any path suffix, func also matches qualified names ending in .func (e.g. execute matches Cursor.execute) re: regular expression matched against file:function:line task selectors (task-stacks, --task): an ID, a name, or re: matched against the name typical workflow (options can also follow the sub-command): austin-query PROFILE summary mode, metrics and threads austin-query PROFILE top -n 20 hottest functions (--by total for cumulative values) austin-query PROFILE callers FUNC who calls a hot function; use callees and lines to drill down austin-query PROFILE stacks -n 5 heaviest full stacks asyncio (Python 3.14+): austin-query PROFILE tasks task trees, with running and awaiting time austin-query PROFILE task-stacks TASK where a task was running and awaiting austin-query PROFILE top --task TASK hot code while a task was running Add --json to any command for machine-readable output. """ def _int_or_str(value: str) -> t.Union[int, str]: return int(value) if value.isdigit() else value def _parser() -> ArgumentParser: # Options shared by every sub-command, so that they can come after it. common = ArgumentParser(add_help=False) common.add_argument( "-m", "--metric", help="The metric to query (wall, cpu, memory, dealloc)" ) common.add_argument("--json", action="store_true", help="Print the result as JSON") common.add_argument( "--full-paths", action="store_true", help="Do not shorten file paths" ) filters = common.add_argument_group("filters") filters.add_argument("--pid", type=int, help="Keep the samples of a process") filters.add_argument("--thread", help="Keep the samples of a thread") filters.add_argument( "--task", type=_int_or_str, help="Keep the samples in which an asyncio task was running (see " "task-stacks for where it was awaiting too)", ) filters.add_argument( "--contains", help="Keep the samples with a frame matching a selector" ) filters.add_argument("--no-idle", action="store_true", help="Drop the idle samples") gc = filters.add_mutually_exclusive_group() gc.add_argument( "--gc", action="store_const", const=True, dest="gc", help="Keep the samples taken while the garbage collector was running", ) gc.add_argument( "--no-gc", action="store_const", const=False, dest="gc", help="Drop the samples taken while the garbage collector was running", ) argp = ArgumentParser( prog="austin-query", description="Query an Austin profile (MOJO or collapsed stacks)", epilog=EPILOG, formatter_class=RawDescriptionHelpFormatter, ) argp.add_argument("profile", help="The profile file") commands = argp.add_subparsers(dest="command", required=True) def command(name: str, help: str) -> ArgumentParser: return commands.add_parser( name, parents=[common], help=help, description=help, epilog=EPILOG, formatter_class=RawDescriptionHelpFormatter, ) command("summary", "Profile overview: mode, metrics and threads") top = command("top", "Hottest locations") top.add_argument("-n", type=int, default=20, help="Number of entries") top.add_argument("--by", choices=("own", "total"), default="own") top.add_argument("--lines", action="store_true", help="Lines, not functions") find = command("find", "Locations matching a selector") find.add_argument("selector") find.add_argument("--lines", action="store_true", help="Lines, not functions") lines = command("lines", "Line breakdown of the functions matching a selector") lines.add_argument("selector") stacks = command("stacks", "Heaviest stacks") stacks.add_argument("-n", type=int, default=10, help="Number of stacks") stacks.add_argument( "--per-thread", action="store_true", help="Keep threads separate" ) stacks.add_argument("--lines", action="store_true", help="Lines, not functions") for kind in ("callers", "callees"): neighbours = command(kind, f"The {kind} of the functions matching a selector") neighbours.add_argument("selector") neighbours.add_argument( "--lines", action="store_true", help="Lines, not functions" ) tree = command("tree", "Call tree, merged across threads") tree.add_argument("root", nargs="?", help="Root the tree at a selector") tree.add_argument("--max-depth", type=int, help="Maximum depth") tree.add_argument( "--min-pct", type=float, default=1.0, help="Prune nodes below this %%" ) tree.add_argument("--lines", action="store_true", help="Lines, not functions") command("tasks", "asyncio task trees, with running and awaiting time") task_stacks = command( "task-stacks", "Where asyncio tasks were running and awaiting" ) task_stacks.add_argument( "selector", nargs="?", type=_int_or_str, help="The tasks (default: all)" ) task_stacks.add_argument("-n", type=int, default=10, help="Number of positions") task_stacks.add_argument( "--lines", action="store_true", help="Lines, not functions" ) return argp def _run(query: ProfileQuery, args: Namespace) -> t.Any: metric = args.metric command = args.command if command == "summary": return query.summary() if command == "top": return query.top(args.n, metric=metric, by=args.by, lines=args.lines) if command == "find": return query.find(args.selector, metric=metric, lines=args.lines) if command == "lines": return query.lines(args.selector, metric=metric) if command == "stacks": return query.stacks( args.n, metric=metric, per_thread=args.per_thread, lines=args.lines ) if command == "callers": return query.callers(args.selector, metric=metric, lines=args.lines) if command == "callees": return query.callees(args.selector, metric=metric, lines=args.lines) if command == "tree": return query.tree( args.root, metric=metric, max_depth=args.max_depth, min_pct=args.min_pct, lines=args.lines, ) if command == "tasks": return query.tasks(metric=metric) if command == "task-stacks": return query.task_stacks(args.selector, args.n, metric=metric, lines=args.lines) raise ValueError(f"Unknown command {command!r}") # pragma: no cover def main(argv: t.Optional[t.List[str]] = None) -> int: """Query an Austin profile.""" args = _parser().parse_args(argv) try: query = ProfileQuery.from_file(args.profile, short_paths=not args.full_paths) except (OSError, ValueError) as e: print(f"austin-query: cannot read {args.profile}: {e}", file=sys.stderr) return 1 try: filters = { "pid": args.pid, "thread": args.thread, "task": args.task, "contains": args.contains, "idle": False if args.no_idle else None, "gc": args.gc, } if any(_ is not None for _ in filters.values()): query = query.filter(**filters) if not query.samples: hint = ( "; the task never ran in them, see task-stacks for where it " "was awaiting" if args.task is not None else "" ) print( f"austin-query: no samples match the filters{hint}", file=sys.stderr ) return 1 result = _run(query, args) except (NoMatchError, ValueError) as e: print(f"austin-query: {e}", file=sys.stderr) return 1 if args.json: print(json.dumps(result.to_dict(), separators=(",", ":"))) else: print(result) return 0 if __name__ == "__main__": sys.exit(main()) austin_python-2.6.0/austin/tools/resolve.py0000644000000000000000000001721013615410400016040 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2022 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import typing as t from subprocess import check_output from austin.format.mojo import MojoFrame from austin.format.mojo import MojoMetadata from austin.format.mojo import MojoStreamReader from austin.format.mojo import MojoString from austin.format.mojo import to_varint __version__ = "0.2.0" def demangle_cython(function: str) -> str: """Demangle a Cython functio nanme.""" if function.startswith("__pyx_pymod_"): _, _, function = function[12:].partition("_") return function if function.startswith("__pyx_fuse_"): function = function[function[12:].index("__pyx_") + 12 :] for _i, d in enumerate(function): if d.isdigit(): break else: raise ValueError(f"Invalid Cython mangled name: {function}") n = 0 while _i < len(function): c = function[_i] _i += 1 if c.isdigit(): n = n * 10 + int(c) else: _i += n n = 0 if not function[_i].isdigit(): return function[_i:] return function class Maps: """Keep mappings between objects to resolve.""" def __init__(self) -> None: # TODO: Use an interval tree instead! self.maps: t.List[t.Tuple[int, int, str]] = [] self.bases: t.Dict[str, int] = {} self.cache: t.Dict[str, t.Optional[t.Tuple[str, t.Optional[int]]]] = {} self.lines: t.Dict[int, bytes] = {} def addr2line(self, address: str) -> t.Optional[t.Tuple[str, t.Optional[int]]]: if address in self.cache: return self.cache[address] addr = int(address, 16) for lo, hi, _binary in self.maps: if lo <= addr <= hi: break else: self.cache[address] = None return None resolved, _, _ = ( check_output( ["addr2line", "-Ce", _binary, f"{addr - self.bases[_binary]:x}"] ) .decode() .strip() .partition(" ") ) if resolved.startswith("??"): # self.cache[address] = (f"{binary}@{addr-self.bases[binary]:x}", None) self.cache[address] = (f"{_binary}", addr - self.bases[_binary]) return self.cache[address] symbol, line = tuple(resolved.split(":", maxsplit=1)) self.cache[address] = (symbol, int(line) if line is not None else 0) return self.cache[address] def add(self, line: str) -> None: bounds, _, binary = line[7:].strip().partition(" ") low, _, high = bounds.partition("-") lo = int(low, 16) hi = int(high, 16) self.maps.append((lo, hi, binary)) if binary in self.bases: self.bases[binary] = min(self.bases[binary], lo) else: self.bases[binary] = lo def resolve(self, line: str) -> str: parts = [] frames, _, metrics = line.strip().rpartition(" ") for part in frames.split(";"): try: head, function, lineno = part.split(":") except ValueError: parts.append(part) continue if function.startswith("__pyx_pw_") or function.startswith("__pyx_pf_"): # skip Cython wrappers (cpdef) continue if function.startswith("__pyx_"): function = demangle_cython(function) if head.startswith("native@"): _, _, address = head.partition("@") resolved = self.addr2line(address) if resolved is None: parts.append(":".join((head, function, lineno))) else: source, native_lineno = resolved parts.append(f"{source}:{function}:{native_lineno or lineno}") else: parts.append(":".join((head, function, lineno))) return " ".join((";".join(parts), metrics)) def resolve_string(self, string: MojoString) -> t.Optional[tuple]: value = string.value if value.startswith("__pyx_") and not ( value.startswith("__pyx_pw_") or value.startswith("__pyx_pf_") ): return (None, demangle_cython(value), None) if value.startswith("native@"): _, _, address = value.partition("@") resolved = self.addr2line(address) if resolved is not None: filename, line = resolved return (filename, None, int(line) if line is not None else 0) return None def resolve_mojo(input: str, output: str) -> None: maps = Maps() with open(input, "rb") as mojo, open(output, "wb") as fout: mojo_file = MojoStreamReader(mojo) # Fails if not a MOJO file # Write the MOJO header fout.write(mojo_file.header) # Echo events and intercepts strings that need to be resolved for event in mojo_file.parse(): if isinstance(event, MojoMetadata) and event.key == "map": maps.add(event.value) elif isinstance(event, MojoString): resolved = maps.resolve_string(event) if resolved is not None: filename, scope, line = resolved new_value = filename or scope object.__setattr__( event, "raw", event.raw.replace(event.value.encode(), new_value.encode()), ) if filename is not None: maps.lines[event.key] = to_varint(line) elif isinstance(event, MojoFrame): if event.filename.key in maps.lines: object.__setattr__( event, "raw", event.raw[: -len(to_varint(event.line))] + maps.lines[event.filename.key], ) fout.write(event.raw) def main() -> None: from argparse import ArgumentParser arg_parser = ArgumentParser( prog="austinp-resolve", description="Resolve native symbols in austinp sample files.", ) arg_parser.add_argument( "input", type=str, help="The input file to resolve.", ) arg_parser.add_argument( "output", type=str, help="The path of the resolved file to write to." ) arg_parser.add_argument("-V", "--version", action="version", version=__version__) args = arg_parser.parse_args() try: resolve_mojo(args.input, args.output) except FileNotFoundError: print(f"No such input file: {args.input}") exit(1) except Exception as e: print(f"File format not recognised: {e}") exit(1) if __name__ == "__main__": main() austin_python-2.6.0/test/__init__.py0000644000000000000000000000000013615410400014421 0ustar00austin_python-2.6.0/test/conftest.py0000644000000000000000000000023113615410400014515 0ustar00import pathlib import pytest DATAPATH = pathlib.Path(__file__).parent / "data" @pytest.fixture() def datapath() -> pathlib.Path: return DATAPATH austin_python-2.6.0/test/test_aio.py0000644000000000000000000001151713615410400014510 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import asyncio import sys from pathlib import Path from unittest.mock import MagicMock import pytest from pytest import raises from austin.aio import AsyncAustin from austin.errors import AustinError from austin.events import AustinMetadata from austin.events import AustinSample if sys.platform == "win32": loop = asyncio.ProactorEventLoop() asyncio.set_event_loop(loop) class TestAsyncAustin(AsyncAustin): __test__ = False def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self._metadata = False self._sample_received = False self._terminate = False async def on_sample(self, sample: AustinSample) -> None: assert sample self._sample_received = True async def on_metadata(self, metadata: AustinMetadata) -> None: assert metadata self._metadata = True async def on_terminate(self): data = self._meta assert "duration" in data assert "errors" in data assert "sampling" in data assert "saturation" in data self._terminate = True def assert_callbacks_called(self): assert self._metadata assert self._sample_received assert self._terminate class InvalidBinaryAsyncAustin(AsyncAustin): BINARY = Path("_austin") @pytest.mark.asyncio async def test_async_time(): austin = TestAsyncAustin() await austin.start( [ "-Ci", "100", "python", "-c", "from time import sleep; sleep(2)", ] ) await asyncio.wait_for(austin.wait(), 30) austin.assert_callbacks_called() assert austin.version is not None assert austin.python_version is not None @pytest.mark.asyncio async def test_async_memory(): austin = TestAsyncAustin() async def sample_callback(data): austin._sample_received = True austin._sample_callback = sample_callback await austin.start( [ "-mCi", "100", "python", "-c", "[i for i in range(10000000)]", ] ) await asyncio.wait_for(austin.wait(), 30) austin.assert_callbacks_called() @pytest.mark.skipif( sys.platform == "win32", reason="Signal handling not supported on Windows" ) @pytest.mark.asyncio async def test_async_terminate(): austin = TestAsyncAustin() async def sample_callback(sample): assert sample if not austin._sample_received: austin.terminate() austin._sample_received = True async def terminate_callback(): austin._terminate = True austin._sample_callback = sample_callback austin._terminate_callback = terminate_callback await austin.start(["-Ci", "10ms", "python"]) await asyncio.wait_for(austin.wait(), 30) austin.assert_callbacks_called() @pytest.mark.asyncio async def test_async_invalid_binary(): with raises(AustinError): await InvalidBinaryAsyncAustin(sample_callback=lambda x: None).start(["python"]) def test_async_no_sample_callback(): with raises(AustinError): InvalidBinaryAsyncAustin() @pytest.mark.asyncio async def test_async_bad_options(): austin = TestAsyncAustin(terminate_callback=lambda *args: None) with raises(AustinError): await austin.start( ["-I", "1000", "python", "-c", "for i in range(1000000): print(i)"] ) def test_async_terminate_not_running(): austin = TestAsyncAustin() with raises(AustinError): austin.terminate() def test_async_terminate_process_already_gone(): austin = TestAsyncAustin() mock_proc = MagicMock() mock_proc.terminate.side_effect = ProcessLookupError austin._proc = mock_proc with raises(AustinError): austin.terminate() @pytest.mark.asyncio async def test_async_wait_not_running(): austin = TestAsyncAustin() with raises(AustinError): await austin.wait() austin_python-2.6.0/test/test_base.py0000644000000000000000000000170113615410400014644 0ustar00from pytest import raises from austin.base import AustinState from austin.errors import AustinError from austin.simple import SimpleAustin class _SimpleAustin(SimpleAustin): def on_sample(self, sample): pass def test_is_running_initially_false(): austin = _SimpleAustin() assert not austin.is_running() def test_get_arguments_initially_none(): austin = _SimpleAustin() assert austin.get_arguments() is None def test_state_initially_not_started(): austin = _SimpleAustin() assert austin.state is AustinState.NOT_STARTED def test_check_version_too_old(): austin = _SimpleAustin() austin._meta["austin"] = "3.9.0" with raises(AustinError, match="Incompatible Austin version"): austin._check_version() def test_check_version_none(): austin = _SimpleAustin() # _meta has no "austin" key → version returns (0, 0, 0) < minimum with raises(AustinError): austin._check_version() austin_python-2.6.0/test/test_cli.py0000644000000000000000000000672513615410400014514 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from pytest import raises from austin.cli import AustinArgumentParser from austin.cli import AustinCommandLineError class Bunch: def __getattr__(self, name): return self.__dict__.get(name) def test_missing_command_and_pid(): with raises(AustinCommandLineError): AustinArgumentParser().parse_args([]) with raises(AustinCommandLineError): AustinArgumentParser(pid=False, command=False) def test_command_with_options(): args = AustinArgumentParser().parse_args( ["-i", "1000", "python3", "-c", 'print("Test")'] ) assert args.command == ["python3", "-c", 'print("Test")'] def test_command_with_options_and_arguments(): args = AustinArgumentParser().parse_args( ["-i", "1000", "python3", "my_app.py", "-c", 'print("Test")'] ) assert args.command == ["python3", "my_app.py", "-c", 'print("Test")'] def test_command_with_austin_args(): args = AustinArgumentParser().parse_args( ["-i", "1000", "python3", "my_app.py", "-i", "100"] ) assert args.interval == 1000 assert args.command == ["python3", "my_app.py", "-i", "100"] def test_exposure(): assert 2 == AustinArgumentParser().parse_args(["-x", "2", "python3"]).exposure def test_time_units(): assert 1000 == AustinArgumentParser().parse_args(["-i", "1ms", "python3"]).interval assert 1000 == AustinArgumentParser().parse_args(["-t", "1s", "python3"]).timeout assert 2 == AustinArgumentParser().parse_args(["-x", "2s", "python3"]).exposure with raises(AustinCommandLineError): AustinArgumentParser().parse_args(["-x", "2ls", "python3"]).exposure with raises(AustinCommandLineError): AustinArgumentParser().parse_args(["-x", "2l", "python3"]).exposure def test_pid_only(): args = AustinArgumentParser().parse_args(["-i", "1000", "-p", "1086"]) assert args.pid == 1086 def test_args_list(): args = Bunch() args.children = True args.full = True args.interval = 1000 args.memory = True args.pid = 42 args.cpu = True args.timeout = 50 args.command = ["python3", "somescript.py"] args.foo = "bar" assert AustinArgumentParser.to_list(args) == [ "-C", "-f", "-i", "1000", "-m", "-p", "42", "-c", "-t", "50", "python3", "somescript.py", ] assert AustinArgumentParser.to_list( AustinArgumentParser().parse_args(["-i", "1ms", "python"]) ) == [ "-i", "1000", "python", ] austin_python-2.6.0/test/test_config.py0000644000000000000000000000265113615410400015204 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import os import os.path import tempfile import toml from austin.config import AustinConfiguration as AC def test_config_empty_binary(): assert AC().binary is None def test_config_binary(monkeypatch): home = tempfile.mkdtemp() monkeypatch.setenv("HOME", home) AC.RC = os.path.join(home, ".austinrc") with open(AC.RC, "w") as fout: toml.dump({"binary": "foo"}, fout) config = AC() config.reload() assert config.binary == "foo" austin_python-2.6.0/test/test_query.py0000644000000000000000000005761413615410400015115 0ustar00import json import typing as t import pytest from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.events import AustinTask from austin.query import ALL from austin.query import ROOT from austin.query import SELF from austin.query import Location from austin.query import NoMatchError from austin.query import PathShortener from austin.query import ProfileQuery from austin.query import matcher from austin.query import task_matcher from austin.stats import AustinStatsType def frames(stack: str) -> t.Tuple[AustinFrame, ...]: """Parse a ';'-separated list of file:function:line frames.""" result = [] for frame in stack.split(";") if stack else (): filename, function, line = frame.rsplit(":", 2) result.append(AustinFrame(filename, function, int(line))) return tuple(result) def sample( stack: str, time: t.Optional[int] = None, memory: t.Optional[int] = None, thread: str = "t1", pid: int = 1, idle: t.Optional[bool] = None, gc: t.Optional[bool] = None, ) -> AustinSample: return AustinSample( pid=pid, iid=0, thread=thread, metrics=AustinMetrics(time=time, memory=memory), frames=frames(stack), idle=idle, gc=gc, ) def wall(*samples: AustinSample) -> ProfileQuery: return ProfileQuery([AustinMetadata("mode", "wall"), *samples]) F = Location("a.py", "f") G = Location("a.py", "g") H = Location("b.py", "h") @pytest.fixture def recursive() -> ProfileQuery: return wall( sample("a.py:f:1;a.py:g:2;a.py:f:3", 10), sample("a.py:f:1", 5), sample("a.py:g:2", 3), ) def test_top_is_recursion_safe(recursive): top = recursive.top() assert top.profile_total == 18 assert top.profile_samples == 3 entries = {e.location: e for e in top} assert entries[F].own == 15 assert entries[F].total == 15 # not 25 assert entries[F].total_samples == 2 assert entries[G].own == 3 assert entries[G].total == 13 assert entries[G].own_samples == 1 assert [e.location for e in top] == [F, G] assert [e.location for e in recursive.top(by="total")] == [F, G] assert len(recursive.top(1)) == 1 def test_top_lines(recursive): entries = {e.location: e for e in recursive.top(lines=True)} assert entries[Location("a.py", "f", 1)].total == 15 assert entries[Location("a.py", "f", 3)].own == 10 assert entries[Location("a.py", "g", 2)].total == 13 def test_top_invalid_sort_key(recursive): with pytest.raises(ValueError): recursive.top(by="samples") def test_callers(recursive): callers = recursive.callers("f") assert callers.matched == (F,) assert callers.own == 15 assert callers.total == 15 assert {e.location: e.value for e in callers} == {ROOT: 15, G: 10} assert callers[0].location == ROOT assert callers[0].share == 100 assert round(callers[1].share, 1) == 66.7 def test_callers_count_each_stack_once(): q = wall(sample("a.py:f:1;a.py:g:2;a.py:f:3;a.py:g:2;a.py:f:3", 7)) assert {e.location: e.value for e in q.callers("f")} == {ROOT: 7, G: 7} assert {e.location: e.value for e in q.callees("f")} == {G: 7, SELF: 7} def test_callees(recursive): callees = recursive.callees("g") assert callees.total == 13 assert {e.location: e.value for e in callees} == {F: 10, SELF: 3} assert sum(e.value for e in callees) == callees.total def test_neighbours_aggregate_matches(recursive): callers = recursive.callers("re:a\\.py:(f|g):") assert callers.matched == (F, G) assert callers.total == 18 assert {e.location: e.value for e in callers} == {ROOT: 18, F: 10, G: 10} def test_neighbours_no_match(recursive): with pytest.raises(NoMatchError, match="did you mean one of: f"): recursive.callers("ff") with pytest.raises(NoMatchError): recursive.callees("nope") def test_lines(): q = wall( sample("a.py:f:1;b.py:h:7", 10), sample("a.py:f:2", 4), sample("a.py:f:1", 1), ) result = q.lines("f") assert result.matched == (F,) assert [(e.location.line, e.own, e.total) for e in result] == [ (1, 1, 11), (2, 4, 4), ] with pytest.raises(NoMatchError): q.lines("g") def test_find(recursive): result = recursive.find("a.py") assert result.matched == (F, G) assert [e.location for e in result] == [F, G] assert not recursive.find("b.py").entries def test_stacks(): q = wall( sample("a.py:f:1;a.py:g:2", 10, thread="t1"), sample("a.py:f:1;a.py:g:3", 5, thread="t2"), sample("a.py:f:1", 3, thread="t1"), sample("", 1, thread="t2"), ) stacks = q.stacks() assert stacks.count == 3 assert [(s.frames, s.value, s.samples) for s in stacks] == [ ((F, G), 15, 2), ((F,), 3, 1), ((), 1, 1), ] assert stacks[0].thread is None per_thread = q.stacks(per_thread=True, lines=True) assert per_thread.count == 4 assert per_thread[0].frames == (Location("a.py", "f", 1), Location("a.py", "g", 2)) assert (per_thread[0].pid, per_thread[0].thread) == (1, "t1") assert len(q.stacks(1)) == 1 def test_tree(): q = wall( sample("a.py:f:1;a.py:g:2;b.py:h:3", 90), sample("a.py:f:1;a.py:g:2;a.py:f:4;a.py:g:2", 9), sample("b.py:h:3", 1), ) tree = q.tree(min_pct=0) assert tree.root.location == ALL assert tree.root.total == 100 f, h = tree.root.children assert (f.location, f.total, f.pct) == (F, 99, 99) assert (h.location, h.own) == (H, 1) assert [c.location for c in f.children[0].children] == [H, F] pruned = q.tree(min_pct=10) assert [c.location for c in pruned.root.children] == [F] assert [c.location for c in pruned.root.children[0].children[0].children] == [H] shallow = q.tree(max_depth=1, min_pct=0) assert [c.location for c in shallow.root.children] == [F, H] assert all(not c.children for c in shallow.root.children) def test_tree_rooted_at_selector(): q = wall( sample("a.py:f:1;a.py:g:2;b.py:h:3", 90), sample("a.py:f:1;a.py:g:2;a.py:f:4;a.py:g:2", 9), sample("b.py:h:3", 1), ) tree = q.tree("g", min_pct=0) assert tree.matched == (G,) assert tree.root.location == G assert tree.root.total == 99 # Outermost occurrences only assert [(c.location, c.total) for c in tree.root.children] == [(H, 90), (F, 9)] with pytest.raises(NoMatchError): q.tree("nope") def test_filter(): q = wall( sample("a.py:f:1;a.py:g:2", 10, thread="t1", pid=1), sample("a.py:f:1", 6, thread="t2", pid=1), sample("b.py:h:3", 4, thread="t1", pid=2), ) t1 = q.filter(thread="t1") assert t1.top().profile_total == 14 assert {e.location: e.total_pct for e in t1.top()}[H] == pytest.approx(400 / 14) assert q.filter(pid=2).top().profile_total == 4 assert q.filter(contains="g").top().profile_total == 10 assert q.filter(where=lambda s: s.metrics.time > 5).top().profile_total == 16 assert q.filter(thread="t1", pid=1).top().profile_total == 10 assert not q.filter(thread="t3").samples # Filtering does not affect the original profile assert q.top().profile_total == 20 def test_filter_flags(): q = ProfileQuery( [ AustinMetadata("mode", "full"), sample("a.py:f:1", 10, 0, idle=True, gc=False), sample("a.py:f:1", 5, 0, idle=False, gc=True), ] ) assert q.filter(idle=True).top().profile_total == 10 assert q.filter(idle=False).top().profile_total == 5 assert q.filter(gc=True).top().profile_total == 5 def test_full_mode_metrics(): q = ProfileQuery( [ AustinMetadata("mode", "full"), sample("a.py:f:1", 100, 64, idle=False), sample("a.py:f:1;a.py:g:2", 900, -16, idle=True), ] ) assert q.metrics == tuple(AustinStatsType) assert q.metric() is AustinStatsType.WALL assert q.top().profile_total == 1000 assert q.top(metric="cpu").profile_total == 100 assert q.top(metric="memory").profile_total == 64 assert q.top(metric=AustinStatsType.MEMORY_DEALLOC).profile_total == 16 with pytest.raises(NoMatchError): # g only appears in an idle sample, which has no CPU time q.callers("g", metric="cpu") def test_metric_validation(): q = wall(sample("a.py:f:1", 1)) assert q.metric("WALL") is AustinStatsType.WALL with pytest.raises(ValueError, match="Unknown metric"): q.metric("bogus") with pytest.raises(ValueError, match="not available in wall mode"): q.top(metric="cpu") @pytest.mark.parametrize( "samples,mode", [ ([sample("a.py:f:1", 1)], "wall"), ([sample("a.py:f:1", memory=1)], "memory"), ([sample("a.py:f:1", 1, 1)], "full"), ], ) def test_mode_inference(samples, mode): assert ProfileQuery(samples).mode == mode def test_memory_mode_default_metric(): q = ProfileQuery([AustinMetadata("mode", "memory"), sample("a.py:f:1", memory=8)]) assert q.metric() is AustinStatsType.MEMORY_ALLOC assert "8B" in str(q.top()) @pytest.mark.parametrize( "selector,frame,expected", [ ("f", AustinFrame("a.py", "f", 1), True), ("f", AustinFrame("a.py", "Cls.f", 1), True), ("f", AustinFrame("a.py", "ff", 1), False), ("Cls.f", AustinFrame("a.py", "Cls.f", 1), True), ("a.py:f", AustinFrame("/src/a.py", "f", 1), True), ("a.py:f", AustinFrame("/src/xa.py", "f", 1), False), ("src/a.py:f", AustinFrame("/src/a.py", "f", 1), True), ("a.py:f:1", AustinFrame("a.py", "f", 1), True), ("a.py:f:2", AustinFrame("a.py", "f", 1), False), ("a.py", AustinFrame("/src/a.py", "f", 1), True), ("a.py:7", AustinFrame("/src/a.py", "f", 7), True), ("C:\\src\\a.py", AustinFrame("C:\\src\\a.py", "f", 7), True), ("a.py:f", AustinFrame("C:\\src\\a.py", "f", 7), True), ( ":_find_and_load", AustinFrame("", "_find_and_load", 1), True, ), ("re:^/src/.*:f:", AustinFrame("/src/a.py", "f", 1), True), ("re:^/lib/", AustinFrame("/src/a.py", "f", 1), False), (Location("a.py", "f"), AustinFrame("a.py", "f", 1), True), (Location("a.py", "f", 2), AustinFrame("a.py", "f", 1), False), (AustinFrame("a.py", "f", 1, column=4), AustinFrame("a.py", "f", 1), True), (lambda f: f.line > 5, AustinFrame("a.py", "f", 1), False), ], ) def test_matcher(selector, frame, expected): assert matcher(selector)(frame) is expected def test_summary(): q = ProfileQuery( [ AustinMetadata("mode", "full"), AustinMetadata("interval", "100"), sample("a.py:f:1", 30, 0, thread="t1", idle=False), sample("a.py:f:1", 10, 0, thread="t2", idle=True), ] ) summary = q.summary() assert summary.mode == "full" assert summary.metric is AustinStatsType.WALL assert {m.metric: m.total for m in summary.metrics}[AustinStatsType.CPU] == 30 assert [(th.thread, th.pct) for th in summary.threads] == [("t1", 75), ("t2", 25)] text = str(summary) assert "mode: full" in text assert "interval: 100" in text def test_render(recursive): assert "a.py:f" in str(recursive.top()) assert "callers of a.py:f" in str(recursive.callers("f")) assert "matched: a.py:g" in str(recursive.callees("re:a.py")) assert "" in str(wall(sample("", 1)).stacks()) assert " a.py:g" in str(recursive.tree(min_pct=0)) assert "18µs" in str(recursive.top()) def test_to_dict_is_json_serializable(recursive): for result in ( recursive.summary(), recursive.top(), recursive.find("f"), recursive.lines("f"), recursive.stacks(per_thread=True), recursive.callers("f"), recursive.callees("f"), recursive.tree(), recursive.tree("g"), ): json.dumps(result.to_dict()) data = recursive.callers("f").to_dict() assert data["metric"] == "wall" assert data["matched"] == ["a.py:f"] assert data["entries"][0]["location"] == "" tree = recursive.tree(min_pct=0).to_dict() assert tree["root"]["children"][0]["location"] == "a.py:f" def test_deep_stacks(): depth = 5000 stack = ";".join(f"a.py:f{i % 3}:{i}" for i in range(depth)) q = wall(sample(stack, 1)) assert q.top()[0].total == 1 assert q.callers("f0").total == 1 assert len(q.stacks()[0].frames) == depth tree = q.tree() tree.to_dict() str(tree) @pytest.mark.parametrize("name", ["test.mojo", "test.austin"]) def test_from_file(datapath, name): q = ProfileQuery.from_file(datapath / name) assert q.mode == "wall" assert q.top().profile_total == 2044073 assert q.stacks().count > 0 @pytest.mark.parametrize( "filename,metadata,expected", [ # Built-in roots, without metadata ("/py/lib/python3.13/threading.py", {}, "threading.py"), ("/py/lib/python3.14t/asyncio/tasks.py", {}, "asyncio/tasks.py"), ("/v/lib/python3.13/site-packages/requests/api.py", {}, "requests/api.py"), ("/usr/lib/python3/dist-packages/yaml/main.py", {}, "yaml/main.py"), ("C:\\Python313\\Lib\\threading.py", {}, "threading.py"), ("C:\\Python313\\Lib\\site-packages\\req\\api.py", {}, "req\\api.py"), ("/proj/app/db.py", {}, "/proj/app/db.py"), ("/usr/lib/python3.13/libfoo.so", {}, "/usr/lib/python3.13/libfoo.so"), ("", {}, ""), # Metadata roots ("/proj/app/db.py", {"cwd": "/proj"}, "app/db.py"), ("/proj/app/db.py", {"cwd": "/proj/"}, "app/db.py"), ("/project/db.py", {"cwd": "/proj"}, "/project/db.py"), ("/proj/lib.so", {"cwd": "/proj"}, "lib.so"), ("/any/db.py", {"cwd": "/"}, "/any/db.py"), ( "/proj/.venv/lib/python3.13/site-packages/req/api.py", {"cwd": "/proj", "venv": "/proj/.venv"}, "req/api.py", ), ( "/proj/.venv/bin/tool.py", {"cwd": "/proj", "venv": "/proj/.venv"}, "bin/tool.py", ), ( "/proj/src/pkg/mod.py", {"cwd": "/proj", "pythonpath": "/opt:/proj/src"}, "pkg/mod.py", ), ("/proj/src/pkg/mod.py", {"cwd": "/proj", "pythonpath": "src"}, "pkg/mod.py"), ("/proj/src/pkg/mod.py", {"pythonpath": "src"}, "/proj/src/pkg/mod.py"), ( "C:\\proj\\src\\pkg\\mod.py", {"cwd": "C:\\proj", "pythonpath": "C:\\opt;src"}, "pkg\\mod.py", ), ], ) def test_path_shortener(filename, metadata, expected): assert PathShortener([filename], metadata)(filename) == expected def test_path_shortener_keeps_paths_unique(): filenames = [ "/proj/app/util.py", "/v/site-packages/lib/app/util.py", "/a/site-packages/x.py", "/b/site-packages/x.py", "/proj/main.py", ] paths = PathShortener(filenames, {"cwd": "/proj"}) assert [paths(f) for f in filenames] == [ "proj/app/util.py", "lib/app/util.py", "a/site-packages/x.py", "b/site-packages/x.py", "main.py", ] assert paths("/unknown/file.py") == "/unknown/file.py" # Every shortened path selects exactly its own file for f in filenames: frame = AustinFrame(f, "fn", 1) assert [ g for g in filenames if matcher(f"{paths(f)}:fn")(AustinFrame(g, "fn", 1)) ] == [f], frame def test_short_paths_in_results(): q = ProfileQuery( [ AustinMetadata("mode", "wall"), AustinMetadata("cwd", "/proj"), sample("/proj/app/main.py:main:1;/py/lib/python3.13/threading.py:run:2", 5), sample("/proj/app/main.py:main:1", 1, thread="t2"), ] ) text = str(q.top()) assert "app/main.py:main" in text assert "threading.py:run" in text assert "/proj" not in text assert "/py/lib" not in text assert " app/main.py:main" in str(q.stacks()) assert "callers of threading.py:run" in str(q.callers("threading.py:run")) assert " app/main.py:main" in str(q.tree(min_pct=0)) # Full paths in the data entries = q.top(by="total").to_dict()["entries"] assert entries[0]["location"] == "/proj/app/main.py:main" assert "paths" not in q.top().to_dict() # Filtered profiles keep the paths of the full profile assert q.filter(thread="t2").paths is q.paths full = ProfileQuery(q.samples, short_paths=False) assert "/proj/app/main.py:main" in str(full.top()) # ---- asyncio tasks ---- def task( task_id: int, stack: str, *awaiting: AustinTask, name: t.Optional[str] = None, ) -> AustinTask: return AustinTask( task_id=task_id, name=name if name is not None else f"task-{task_id}", frames=frames(stack), awaiting=awaiting, ) def task_sample( stack: str, time: int, tasks: t.Tuple[AustinTask, ...], running: t.Optional[int] = None, thread: str = "t1", idle: t.Optional[bool] = None, ) -> AustinSample: return AustinSample( pid=1, iid=0, thread=thread, metrics=AustinMetrics(time=time), frames=frames(stack), idle=idle, tasks=tasks, running_task=running, ) LOOP = "main.py:main:1;events.py:_run:2" def test_running_task_frames_are_stitched_to_the_thread_stack(): child = task(2, "w.py:worker:5;w.py:burst:6") root = task(1, "m.py:main:3", child) q = wall( task_sample(LOOP, 10, (root,), running=2), task_sample(LOOP, 5, (root,)), ) running, suspended = q.stacks() assert [str(_) for _ in running.frames] == [ "main.py:main", "events.py:_run", "w.py:worker", "w.py:burst", ] assert running.value == 10 assert [str(_) for _ in suspended.frames] == ["main.py:main", "events.py:_run"] assert q.top()[0].location == Location("w.py", "burst") assert q.callers("burst")[0].location == Location("w.py", "worker") def test_running_task_without_a_known_position_keeps_the_thread_stack(): q = wall(task_sample(LOOP, 10, (task(1, "m.py:main:3"),), running=7)) (stack,) = q.stacks() assert [str(_) for _ in stack.frames] == ["main.py:main", "events.py:_run"] def test_tasks_wall_total_is_time_alive(): child = task(2, "w.py:worker:5") root = task(1, "m.py:main:3", child) q = wall( task_sample(LOOP, 10, (task(1, "m.py:main:3"),), running=1), task_sample(LOOP, 20, (root,), running=2), task_sample(LOOP, 30, (root,)), task_sample(LOOP, 40, (task(1, "m.py:main:3"),), running=1), ) (main,) = q.tasks() assert (main.task_id, main.name) == (1, "task-1") assert (main.running, main.awaiting, main.total) == (50, 50, 100) assert main.pct == 100.0 (worker,) = main.children assert (worker.running, worker.awaiting, worker.total) == (20, 30, 50) def test_tasks_cpu_total_adds_awaited_tasks(): leaf = task(3, "l.py:leaf:1") mid = task(2, "w.py:worker:5", leaf) root = task(1, "m.py:main:3", mid) q = ProfileQuery( [ AustinMetadata("mode", "cpu"), task_sample(LOOP, 10, (root,), running=1), task_sample(LOOP, 20, (root,), running=2), task_sample(LOOP, 30, (root,), running=3), ] ) (main,) = q.tasks() assert (main.running, main.awaiting, main.total) == (10, 0, 60) (worker,) = main.children assert (worker.running, worker.total) == (20, 50) (leaf_node,) = worker.children assert (leaf_node.running, leaf_node.total) == (30, 30) def test_tasks_are_grouped_by_thread_and_sorted(): q = wall( task_sample(LOOP, 10, (task(1, "a.py:a:1"), task(2, "b.py:b:1")), running=2), task_sample(LOOP, 10, (task(2, "b.py:b:1"),), running=2), task_sample(LOOP, 5, (task(3, "c.py:c:1"),), thread="t2"), ) result = q.tasks() assert [(r.thread, r.task_id) for r in result] == [("t1", 2), ("t1", 1), ("t2", 3)] assert [r.total for r in result] == [20, 10, 5] def test_tasks_survive_a_waiter_cycle(): a = AustinTask(1, "a", frames("a.py:a:1"), ()) b = AustinTask(2, "b", frames("b.py:b:1"), (a,)) a_awaits_b = AustinTask(1, "a", frames("a.py:a:1"), (b,)) q = wall(task_sample(LOOP, 10, (a_awaits_b,))) result = q.tasks() assert sorted(n.task_id for r in result for n in [r, *r.children]) == [1, 2] def test_filter_by_running_task(): child = task(2, "w.py:worker:5;w.py:burst:6", name="worker") root = task(1, "m.py:main:3", child, name="main") q = wall( task_sample(LOOP, 10, (root,), running=2), task_sample(LOOP, 20, (root,), running=1), task_sample(LOOP, 30, (root,)), ) assert q.filter(task="worker").top()[0].location == Location("w.py", "burst") assert q.filter(task=2).summary().profile_total == 10 assert q.filter(task="re:^ma").summary().profile_total == 20 assert q.filter(task=lambda t: t.task_id == 1).summary().profile_total == 20 with pytest.raises(NoMatchError): q.filter(task=lambda t: t.task_id > 5) def test_task_matcher(): worker = AustinTask(2, "worker-0", (), ()) assert task_matcher(2)(worker) assert task_matcher("worker-0")(worker) assert not task_matcher("worker")(worker) assert task_matcher("re:worker")(worker) assert not task_matcher("re:x")(AustinTask(3, None, (), ())) def test_tasks_render_and_to_dict(): child = task(2, "w.py:worker:5") q = wall(task_sample(LOOP, 10, (task(1, "m.py:main:3", child),), running=2)) text = str(q.tasks()) assert "awaiting" in text assert "[pid 1, thread t1]" in text assert " task-2 #2" in text data = json.loads(json.dumps(q.tasks().to_dict())) assert data["roots"][0]["children"][0]["task_id"] == 2 def test_task_stacks(): worker = task(2, "w.py:worker:5;w.py:burst:6", name="worker") waiting = task(2, "w.py:worker:7;s.py:sleep:1", name="worker") q = wall( task_sample(LOOP, 10, (task(1, "m.py:main:3", worker, name="main"),), 2), task_sample(LOOP, 20, (task(1, "m.py:main:3", waiting, name="main"),)), task_sample(LOOP, 5, (task(1, "m.py:main:3", waiting, name="main"),), 1), ) result = q.task_stacks("worker") assert result.matched == ("worker #2",) sleeping, running = result assert [str(_) for _ in sleeping.frames] == ["w.py:worker", "s.py:sleep"] assert (sleeping.value, sleeping.running, sleeping.awaiting) == (25, 0, 25) assert sleeping.samples == 2 assert [str(_) for _ in running.frames] == ["w.py:worker", "w.py:burst"] assert (running.value, running.running, running.awaiting) == (10, 10, 0) every = q.task_stacks() assert every.matched == ("main #1", "worker #2") assert every.count == 3 assert len(q.task_stacks(n=1)) == 1 text = str(result) assert "running 0µs, awaiting 25µs" in text assert "note:" not in text assert "note: concurrent tasks" in str(every) def test_task_stacks_cpu_has_no_await_time(): worker = task(2, "w.py:worker:5", name="worker") q = ProfileQuery( [ AustinMetadata("mode", "cpu"), task_sample(LOOP, 10, (task(1, "m.py:main:3", worker),), 2), task_sample(LOOP, 20, (task(1, "m.py:main:3", worker),)), ] ) (stack,) = q.task_stacks("worker") assert (stack.value, stack.running, stack.awaiting) == (10, 10, 0) assert "awaiting" not in str(q.task_stacks()) def test_unknown_task_selector(): q = wall(task_sample(LOOP, 10, (task(1, "m.py:main:3", name="worker-0"),))) with pytest.raises(NoMatchError, match="did you mean one of: worker-0"): q.filter(task="worker0") with pytest.raises(NoMatchError, match="No tasks match"): q.task_stacks("nothing") with pytest.raises(NoMatchError, match="has no asyncio tasks"): wall(sample("a.py:f:1", 10)).task_stacks("worker") austin_python-2.6.0/test/test_query_cli.py0000644000000000000000000000654513615410400015741 0ustar00import json from pathlib import Path import pytest from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.format.mojo import MojoStreamWriter from austin.tools.query import main def _sample(stack: str, time: int, gc: bool = False) -> AustinSample: frames = [] for frame in stack.split(";"): filename, function, line = frame.rsplit(":", 2) frames.append(AustinFrame(filename, function, int(line))) return AustinSample( pid=1, iid=0, thread="t1", metrics=AustinMetrics(time=time), frames=tuple(frames), gc=gc, ) @pytest.fixture def profile(tmp_path: Path) -> Path: path = tmp_path / "profile.mojo" with path.open("wb") as f: writer = MojoStreamWriter(f) writer.write(AustinMetadata("mode", "wall")) writer.write(AustinMetadata("gc", "on")) writer.write(_sample("/app/a.py:main:1;/app/a.py:loop:2", 10)) writer.write(_sample("/app/a.py:main:1;/app/b.py:work:3", 30)) writer.write(_sample("/app/a.py:main:1;/app/a.py:collect:4", 5, gc=True)) return path def test_help_explains_selectors_and_workflow(capsys): with pytest.raises(SystemExit): main(["--help"]) out = capsys.readouterr().out assert "file:func:line" in out assert "task-stacks" in out assert "typical workflow" in out def test_json_is_compact(profile, capsys): assert main([str(profile), "top", "-n", "1", "--json"]) == 0 out = capsys.readouterr().out assert "\n" not in out.strip() assert json.loads(out)["entries"][0]["location"] == "/app/b.py:work" def test_gc_filters(profile, capsys): assert main([str(profile), "top", "--gc"]) == 0 out = capsys.readouterr().out assert "collect" in out and "work" not in out assert main([str(profile), "top", "--no-gc"]) == 0 out = capsys.readouterr().out assert "work" in out and "collect" not in out def test_options_after_the_command(profile, capsys): assert main([str(profile), "callers", "work", "--thread", "t1"]) == 0 assert "a.py:main" in capsys.readouterr().out def test_no_samples_match(profile, capsys): assert main([str(profile), "top", "--thread", "nope"]) == 1 assert "no samples match the filters" in capsys.readouterr().err def test_errors(profile, capsys, tmp_path): assert main([str(profile), "callers", "wrok"]) == 1 assert "did you mean one of: work" in capsys.readouterr().err assert main([str(profile), "tasks", "--task", "x"]) == 1 assert "has no asyncio tasks" in capsys.readouterr().err assert main([str(profile), "top", "--metric", "memory"]) == 1 assert "not available in wall mode" in capsys.readouterr().err assert main([str(tmp_path / "missing.mojo"), "summary"]) == 1 assert "cannot read" in capsys.readouterr().err @pytest.mark.parametrize( "command", [ ["summary"], ["top", "--by", "total", "--lines"], ["find", "a.py"], ["lines", "main"], ["stacks", "--per-thread"], ["callees", "main"], ["tree", "main", "--max-depth", "1"], ["tasks"], ["task-stacks"], ], ) def test_commands(profile, capsys, command): assert main([str(profile), *command]) == 0 assert capsys.readouterr().out.startswith(("metric:", "mode:")) austin_python-2.6.0/test/test_query_e2e.py0000644000000000000000000000625213615410400015640 0ustar00import json import shutil import subprocess import sys from pathlib import Path import pytest from austin.query import Location from austin.query import ProfileQuery from austin.tools.query import main AUSTIN = shutil.which("austin") pytestmark = [ pytest.mark.skipif(AUSTIN is None, reason="austin not found"), pytest.mark.skipif( sys.version_info < (3, 14), reason="asyncio tasks require Python 3.14+" ), ] TARGET = """ import asyncio def cpu_burst(n): total = 0 for i in range(n): total += (i * i) % 97 return total async def worker(n): for _ in range(20): cpu_burst(200_000) await asyncio.sleep(0) return n async def main(): tasks = [asyncio.create_task(worker(i), name=f"worker-{i}") for i in range(2)] await asyncio.gather(*tasks) asyncio.run(main()) """ @pytest.fixture(scope="module") def profile(tmp_path_factory: pytest.TempPathFactory) -> Path: folder = tmp_path_factory.mktemp("query") target = folder / "target_query.py" target.write_text(TARGET) output = folder / "profile.mojo" assert AUSTIN is not None result = subprocess.run( [AUSTIN, "-c", "-i", "1ms", "-o", str(output), sys.executable, str(target)], capture_output=True, timeout=120, ) assert result.returncode == 0, result.stderr.decode(errors="replace") return output def test_running_task_code_is_in_the_thread_queries(profile: Path) -> None: q = ProfileQuery.from_file(profile) assert q.mode == "cpu" (hottest,) = q.top(1) assert hottest.location.function == "cpu_burst" assert hottest.own_pct > 50 callers = q.callers("cpu_burst") assert callers[0].location.function == "worker" def test_tasks(profile: Path) -> None: q = ProfileQuery.from_file(profile) workers = { node.name: node for root in q.tasks() for node in root.children if node.name is not None and node.name.startswith("worker-") } assert sorted(workers) == ["worker-0", "worker-1"] total = q.summary().profile_total for node in workers.values(): assert node.awaiting == 0 # No await time in CPU mode assert node.running > total / 5 worker = q.filter(task="worker-0") assert worker.top(1)[0].location == Location( str(profile.parent / "target_query.py"), "cpu_burst" ) assert worker.summary().profile_total == workers["worker-0"].running def test_cli(profile: Path, capsys: pytest.CaptureFixture) -> None: assert main([str(profile), "top", "-n", "1", "--json"]) == 0 data = json.loads(capsys.readouterr().out) assert data["entries"][0]["location"].endswith(":cpu_burst") assert main([str(profile), "tasks", "--task", "worker-1"]) == 0 assert "worker-1" in capsys.readouterr().out assert main([str(profile), "task-stacks", "worker-0", "-n", "1"]) == 0 out = capsys.readouterr().out assert "tasks: worker-0" in out and "cpu_burst" in out assert main([str(profile), "callers", "cpu_brst"]) == 1 assert "did you mean" in capsys.readouterr().err assert main([str(profile), "top", "--task", "worker0"]) == 1 assert "did you mean one of: worker-0" in capsys.readouterr().err austin_python-2.6.0/test/test_semver.py0000644000000000000000000000066613615410400015244 0ustar00import pytest from austin.base import _to_semver @pytest.mark.parametrize( ("version", "semver"), [ ("3.0.0", (3, 0, 0)), ("3.0", (3, 0, 0)), ("3", (3, 0, 0)), ("3.0.0a1", (3, 0, 0)), ("0.1.0", (0, 1, 0)), ("3.9.?", (3, 9, 0)), ], ) def test_semver(version, semver): assert _to_semver(version) == semver def test_semver_none(): assert _to_semver(None) == (0, 0, 0) austin_python-2.6.0/test/test_simple.py0000644000000000000000000001063113615410400015225 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import os import os.path import tempfile from pathlib import Path import toml from pytest import raises from austin.config import AustinConfiguration as AC from austin.errors import AustinError from austin.simple import SimpleAustin class TestSimpleAustin(SimpleAustin): __test__ = False def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self._metadata = False self._sample_received = False self._terminate = False def on_sample(self, sample): assert sample self._sample_received = True def on_metadata(self, metadata): assert metadata self._metadata = True def on_terminate(self): data = self._meta assert "duration" in data assert "errors" in data assert "sampling" in data assert "saturation" in data self._terminate = True def assert_callbacks_called(self): assert self._metadata and self._sample_received and self._terminate class InvalidBinarySimpleAustin(SimpleAustin): BINARY = Path("_austin") def test_simple(): austin = TestSimpleAustin() austin.start(["-Ci", "1000", "python", "-c", "from time import sleep; sleep(1)"]) austin.wait() austin.assert_callbacks_called() assert austin.version is not None assert austin.python_version is not None def test_simple_invalid_binary(): with raises(AustinError): InvalidBinarySimpleAustin(sample_callback=lambda x: None).start(["python"]) def test_simple_no_sample_callback(): with raises(AustinError): InvalidBinarySimpleAustin() def test_simple_bad_options(): austin = TestSimpleAustin(terminate_callback=lambda *args: None) with raises(AustinError): austin.start( ["-I", "1000", "python", "-c", "for i in range(1000000): print(i)"] ) def assert_binary_path(path: Path): assert Path(TestSimpleAustin().binary_path).resolve() == path.resolve() def test_simple_terminate_not_running(): austin = TestSimpleAustin() with raises(AustinError): austin.terminate() def test_simple_wait_not_running(): austin = TestSimpleAustin() with raises(AustinError): austin.wait() def test_binary_path_cwd(): with tempfile.TemporaryDirectory() as tempdir: old_cwd = Path.cwd() os.chdir(tempdir) Path(TestSimpleAustin.BINARY).write_text("Hello") assert_binary_path(Path.cwd() / TestSimpleAustin.BINARY) os.chdir(old_cwd) def test_binary_path_austinpath(): with tempfile.TemporaryDirectory() as tempdir: old_path = os.environ.get("AUSTINPATH") os.environ["AUSTINPATH"] = tempdir temp_binary = Path(tempdir) / TestSimpleAustin.BINARY temp_binary.write_text("Hello") assert_binary_path(temp_binary) if old_path is not None: os.environ["AUSTINPATH"] = old_path def test_binary_path_rc(): with tempfile.TemporaryDirectory() as tempdir: old_home = os.environ.get("HOME") old_path = os.environ.get("AUSTINPATH") del os.environ["AUSTINPATH"] home = os.environ["HOME"] = tempdir AC.RC = os.path.join(home, ".austinrc") with open(AC.RC, "w") as fout: toml.dump({"binary": AC.RC}, fout) AC().reload() assert_binary_path(Path(AC.RC)) if old_path is not None: os.environ["AUSTINPATH"] = old_path if old_home is not None: os.environ["HOME"] = old_home austin_python-2.6.0/test/test_threads.py0000644000000000000000000000660213615410400015371 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import sys from pathlib import Path import pytest from austin.errors import AustinError from austin.threads import ThreadedAustin class TestThreadedAustin(ThreadedAustin): __test__ = False def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self._metadata = False self._sample_received = False self._terminate = False def on_metadata(self, metadata): assert metadata self._metadata = True def on_sample(self, sample): assert sample self._sample_received = True def on_terminate(self): data = self._meta assert "duration" in data assert "errors" in data assert "sampling" in data assert "saturation" in data self._terminate = True def assert_callbacks_called(self): assert self._metadata and self._sample_received and self._terminate class InvalidBinaryThreadedAustin(ThreadedAustin): BINARY = Path("_austin") def test_threaded(): austin = TestThreadedAustin() austin.start(["-i", "1000", "python", "-c", "from time import sleep; sleep(2)"]) assert austin.wait() == 0 austin.assert_callbacks_called() assert austin.version is not None assert austin.python_version is not None @pytest.mark.skipif( sys.platform == "win32", reason="Signal handling not supported on Windows" ) def test_threaded_terminate(): austin = TestThreadedAustin() def sample_callback(*args): if not austin._sample_received: austin.terminate() austin._sample_received = True def terminate_callback(*args): austin._terminate = True austin._sample_callback = sample_callback austin._terminate_callback = terminate_callback austin.start(["-i", "100", "python", "-c", "from time import sleep; sleep(1)"]) assert austin.wait() != 0 austin.assert_callbacks_called() def test_threaded_invalid_binary(): austin = InvalidBinaryThreadedAustin(sample_callback=lambda x: None) austin.start(["python"]) with pytest.raises(AustinError): austin.join() def test_threaded_no_sample_callback(): with pytest.raises(AustinError): InvalidBinaryThreadedAustin() def test_threaded_bad_options(): austin = 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7native@7f90062b63e8b76ae59xx|bbbbbbbbb  7native@7f90062b63c3b76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbbz b66ae59xx|bbbbbbbbbb  7native@521723ܐ76ae59xx|bbbbbbbbbܐ  7native@7f90062c3f52b76ae59xx|bbbbbbb  7native@4f202b76ae59xx|bbbbbbbbbܐ  ŀ7native@7f90062b4595bŀ76ae59xx|bbbbbbbbbbbb  ɀ7native@4eed6cɀ76ae59xx|bbbbbbbbb ae59xx|bbbbbbb  ΀7native@7f90062c0af3b΀76ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbb  Ҁ7native@51a216Ҁ76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbǑz  ׀7native@4f27ae׀76ae59xx|bbbbbbbbb  ۀ7native@4eecdaۀ76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbb  7native@5132d0ˉ76 7native@7f90062c33e8b76ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbܐ  7native@4f212e76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7native@51303576 7native@7f90062c3616b76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7native@51a25976ae59xx|bbbbbbbb b66ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@4eed7776 7native@519396Ό76ae59xx|bbbbbbbbΌ  7native@50f359͇76ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@4f40e676ae59xx|bbbbbbbbb  7native@519cc176ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@4f40b876ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@7f90062b63e3b76ae59xx|bbbbbbbbb  7native@4f1fde76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@4eed3076ae59xx|bbbbbbbbΌ ae59xx|bbbbbbbbbܐ  7native@50375d݁76ae59xx|bbbbbbbbbbb݁  7native@4f22d176ae59xx|bbbbbbbbb ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@50f358͇76ae59xx|bbbbbbbbbbb͇  7native@4f67cc76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@51a3b676ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb א66ae59xx|bbbbbbbbbא  7native@7f9007a229a2z76ae59xx|bbbbbbbbbbbbz  Ł7native@7f90062b6a3bbŁ76ae59xx|bbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  ʁ7PyDict_SetItem ́7native@4f3f2é7ʁ7>ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ͇66ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbܐ  Ӂ7native@7f90062b63a6bӁ76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb  ؁7native@7f90062b575ab؁76ae59xx|bbbbbbbbb  ܁7native@4f224f܁76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbbz  7native@7f9007a22ee0z76ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb  7native@4f27b776ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb  7native@7f90062b6a14b76ae59xx|bbbbbbbb  7native@7f90062bfd09b76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb܌đz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@512fcc76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7__mmap 7native@7f90079a0bd7y77 7_PyTypes_Init 7native@5d07fd77( 7native@4eef8e76(ae59xx|bbbbbbbbby ae59xx|bbbbbbbbbܐ  7PyType_GenericNew 7native@5112f2ˈ77 7PyNumber_Index 7native@52106677 7native@7f90062c4030b76ae59xx|bbbbbbbˈ  7native@5137c9߉76ae59xx|bbbbbbbˉ߉  7native@7f90062bfd3db76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz 66ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|ʌbbbbbz  7native@7f9007a22d11z76ae59xx|ʌbbbbbz 66ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7native@51854876ae59xx|ʌbbbbb ae59xx|ʌbbbbby ae59xx|ʌbbbbb ae59xx|ʌbbbbb  7native@7f90062b4542b76 7native@7f90062c28feb76ae59xx|bbbbbbbbb  7_PyDictView_New 7native@5199d077 ł7native@7f90062c4abdbł76ae59xx|bbbbbbb  ɂ7native@50f3a8·ɂ76ae59xx|bbbbbbbbbbb·  ΂7native@7f90062bfd1fb΂76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbǑz  ҂7native@7f90062c23b6b҂76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbb  ׂ7native@7f90062b45b6bׂ76ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ  ۂ7native@4f255dۂ76ae59xx|bbbbbbbbb  7native@7f90062bfdacb76ae59xx|bbbbbbbbbbb  7native@4f680b76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f9007a229b6z76ae59xx|bbbbbbbbbbbbz  7native@4f410d76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@7f90062c0061b76ae59xx|bbbbbbbbbbb  7native@519c2176ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbb  7native@4f230776ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@513b4676 7native@7f90062c44edb76ae59xx|bbbbbbb  7native@4f683276ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbby ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7PyErr_Occurred 7native@4f381b77 7native@7f90062c4a80b76 ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ z66ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbbb  7native@4eed5076ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f90062c4a46b76ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7native@4f1f8876ae59xx|bbbbbbbbb ae59xx|bbbbbbb܌đz  7native@519c5b76ae59xx|bbbbbbb  7native@7f9007a229cbz76ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbb  7native@7f90062c461fb76ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb  7native@4f3f017ʁ7ae59xx|bbbbbbbbb  7native@4f410176ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f90062bfe29b76ae59xx|bbbbbbbbbbb  ƃ7native@7f90062b63cfbƃ76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  ˃7PyObject_IsTrue ̓7native@5202b2̓7˃7Kae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb  у7native@4f1f97у76ae59xx|bbbbbbbbb  փ7native@4eed11փ76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb  ۃ7native@7f90062b6360bۃ76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  ߃7native@7f90062b4553b߃76ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbǑz  7native@7f9007a22ed0z76ae59xx|bbbbbbbbbz  7native@7f9007a22ef0z76ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb  7native@4f263d76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@7f90062c4ba4b76ae59xx|bbbbbbb܌đz ae59xx|bbbbbbbˉ  7native@4eee5b76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@7f90062b455bb76ae59xx|bbbbbbbbbbbb  7native@4f1f6976ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7native@7f90062c3c75b76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f90062c3324b76ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|ʌbbbbbz  7native@7f9007a22d67z76ae59xx|ʌbbbbbz ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7native@5d416d76ae59xx|ʌbbbbb ae59xx|ʌbbbbby ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7native@51879c76ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7native@5d417c76ae59xx|ʌbbbbb  7native@7f90062b6933b76ae59xx|bbbbbbbb ae59xx|bbbbbbbbb  7native@4f40ab76ae59xx|bbbbbbbbb  7native@7f90062b45b0b76ae59xx|bbbbbbbbbbbb  7native@7f90062b699fb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@7f90062b69d5b76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ  7native@4f201e76ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@7f90062b5c41b76 7native@7f90062c4b35b76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  ń7native@503730܁ń76ae59xx|bbbbbbbbbbb܁  ʄ7native@521704ܐʄ76ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  ΄7native@51a2b4΄76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbˉ߉ ae59xx|bbbbbbbbbܐ  ҄7native@519cac҄76ae59xx|bbbbbbb  ׄ7native@7f90062b69e5bׄ76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz  ۄ7native@4f213cۄ76ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbz  7native@4f27c376ae59xx|bbbbbbbbb  7native@4f27aa76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb  7native@4f1fa476ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@50f373͇76ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ʁ7ʁ7ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@42d9947ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@519c8276ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@4f67fa76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb 66 7native@7f90062c3b69b76ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7_Py_XDECREFb77 7native@7f90062c3cc0b76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7native@7f90062c462cb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@4f26cd76ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbbǑz  7native@7f9007a22e76z76ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@4eed0176ae59xx|bbbbbbbbb ae59xx|bbbbbbb܌đz  7native@7f90062bfcffb76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb܌đz  7native@52162fؐ76ae59xx|bbbbbbbbbؐ  7native@4f3f187ʁ7ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@7f90062bfcdeb76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbbܐ  7native@7f9007a22d28z76ae59xx|ʌbbbbbz ae59xx|ʌbbbbbz ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7native@5185bb76ae59xx|ʌbbbbb ae59xx|ʌbbbbb  7timer_settime …7native@7f90079237c3ߑy…774 Dž7__default_morecore ȅ7native@7f9007924939yȅ7Dž7 ͅ7free υ7native@7f90079274d3ӓyυ7ͅ7 Ӆ7native@4f2717Ӆ76ae59xx|bbbbbbbbbӓyyߑy  ؅7native@7f90062b6396b؅76ae59xx|bbbbbbbbb  ݅7native@4f4009݅76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb· ae59xx|bbbbbbbbbbb  7native@7f90062bfcdab76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbbbbz  7native@7f90062b6354b76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbbbb ae59xx|bbbbbbb  7native@4f680276ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@50f39f·76ae59xx|bbbbbbbbbbb· b66ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@519c2576ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ 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7native@7f90062c251bb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbb  7native@7f90062b63a2b76ae59xx|bbbbbbbbb  7native@4f681076ae59xx|bbbbbbbbb  7native@4f405c76ae59xx|bbbbbbbbb ae59xx|bbbbbbb  7native@7f90062b6a37b76ae59xx|bbbbbbbb  7native@4f3ff176ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb  Ć7native@4f1fc5Ć76ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbb b66ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbb  ˆ7native@5216d0ېˆ76ae59xx|bbbbbbbbbې  І7native@7f90062b1cd0bІ76ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz  Ԇ7native@7f9007a22f0fzԆ76ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb  ن7native@4f2631ن76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ 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7native@4f404976ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@4f200576ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7native@7f90062c3d8bb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb  7native@513204ȉ76 7native@7f90062c373cb76ae59xx|bbbbbbbȉ  7native@51a27076ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f90062bfd67b76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f90062b4e2bb77 ‡7native@7f90062c3ccab‡76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbb  LJ7native@4eecefLJ76ae59xx|bbbbbbbbb  ̇7native@5137b8މ̇76 ч7native@7f90062c302abч76ae59xx|bbbbbbbˉމ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbb܌đz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbא  Շ7native@512fb1Շ76ae59xx|bbbbbbb ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb  ڇ7native@4f25c3ڇ76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  ߇7native@4f3feb߇76ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb܁ ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbܐ  7native@4f1f6376ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7native@4f401876ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@519c9c76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f90062b4e29b77 7native@7f90062c460fb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7native@4f40ec76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@51a2a776ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ 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ae59xx|bbbbbbbbbܐ  ω7native@7f90062bfcd7bω76ae59xx|bbbbbbbbbbb  ҉7native@5132e8ˉ҉76 ׉7native@50402f׉76 ۉ7native@5202d0ۉ7˃7ae59 7/home/gabriele/Projects/dd-trace-py/ddtrace/span.py 7span_type/77xx|bbbbbbbˉ/ˉ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@7f90062b17a0b76 7native@7f90062c24d5b76ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbb ae59xx|bbbbbbb  7native@7f90062b6376b76ae59xx|bbbbbbbbb  7native@519779݌76ae59xx|bbbbbbb݌ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@7f90062b454bb76ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f90062c334bb76ae59xx|bbbbbbb ae59xx|ʌbbbbbz ae59xx|ʌbbbbbz ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7native@5185d676ae59xx|ʌbbbbb  7native@7f90062b7682b76ae59xx|ʌbbbbbb ae59xx|bbbbbbbbbܐ  7native@4f21d276ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7native@4f40fb76ae59xx|bbbbbbbbb  7native@7f9007a22992z76ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7native@50f3b1·76ae59xx|bbbbbbbbbbb· ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbb  7native@51a29676ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ  7native@7f90062b637fb76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@7f9007a229b0z76ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbb  7native@4eed4376ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ  7native@503793ށ76ae59xx|bbbbbbbbbbbށ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7native@7f90062b638ab76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz 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6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbb  6/usr/bin/python3.866x 6/usr/bin/python3.866zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ  6PyLong_FromLong 6/usr/bin/python3.866{ 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb663ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbbbܐ  6/usr/include/python3.8/object.hb66ae59xx|bbbbbbbbb  6_Py_VaBuildStack 6/usr/bin/python3.8͌66͌ 6__Pyx_PyObject_CallNoArg 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbb͌  6pack_text 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66 6insert 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66K 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb663ae59xx|bbbbbbbbbbb  6PyObject_Malloc 6/usr/bin/python3.866w 6/usr/bin/python3.866{ae59xx|bbbbbbbbb  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866{ae59xx|bbbbbbbbb  6PyObject_GenericGetAttr 6/usr/bin/python3.866 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb 66ae59xx|bbbbbbbbb  6/usr/include/python3.8/object.hb66ae59xx|bbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb664ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66+ae59xx|bbbbbbbbbbb  6_Py_HashBytes 6/usr/bin/python3.866y 6/usr/bin/python3.866zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6_PyObject_GenericGetAttrWithDict 6/usr/bin/python3.8ˉ66ˉ 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbˉ  6/usr/include/python3.8/object.hb66ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb664 6/usr/include/python3.8/object.hb66ae59xx|bbbbbbbbb  6/usr/bin/python3.8א66אae59xx|bbbbbbbbbא ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  6/usr/bin/python3.866zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866yae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866yae59xx|bbbbbbbbb  6__nss_database_lookup 6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66 6msgpack_pack_write 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb667 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack_template.hb66 ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  6/usr/include/python3.8/object.hb66ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.8ؐ66ؐae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbb b66ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ  6__nss_database_lookup 6./string/../sysdeps/x86_64/multiarch/memset-vec-unaligned-erms.SǑz66 6/usr/bin/python3.866yae59xx|bbbbbbbbbǑz  6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66 6/usr/bin/python3.866yae59xx|bbbbbbbbbz  6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66 ae59xx|bbbbbbbbbz  6/usr/bin/python3.866yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  6/usr/bin/python3.866yae59xx|bbbbbbbbb  6/usr/bin/python3.866yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ  6PyType_IsSubtype܁66 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66#ae59xx|bbbbbbbbbbb܁ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  6/usr/include/python3.8/object.hb66ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66'ae59xx|bbbbbbbbbbbb  6pack_number 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66' 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  6/usr/include/python3.8/object.hb66ae59xx|bbbbbbb ae59xx|bbbbbbbbb  6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66 6append_raw 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66T 6flush 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66 6encode 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66 6__pyx_pw_7ddtrace_8internal_9_encoding_18MsgpackEncoderBase_9encode 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66 6_Py_VaBuildStack 6/usr/bin/python3.8ʌ66ʌae59|66xx|ʌbbbbbz  6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66 6PyBytes_FromStringAndSize 6/usr/bin/python3.866 6get_bytes 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66P 6flush 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66W 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|ʌbbbbbz  6PyImport_GetModule 6/usr/bin/python3.866 6PyDict_Update 6/usr/bin/python3.866 6reset 6/usr/include/python3.8/object.hb66 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66Yae59xx|ʌbbbbb  6/usr/bin/python3.866ae59xx|ʌbbbbb  6munmap 6./misc/../sysdeps/unix/syscall-template.Sy66 6/usr/bin/python3.866ae59xx|ʌbbbbby  6/usr/bin/python3.866ae59xx|ʌbbbbb ae59xx|ʌbbbbby ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66ae59xx|bbbbbbbbbz  6/usr/bin/python3.866yae59xx|bbbbbbbbb  6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66 ae59xx|bbbbbbbbbz  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66, 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack_template.hb66 ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb  6/usr/bin/python3.866{ae59xx|bbbbbbbbb  6/usr/bin/python3.866{ae59xx|bbbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66,ae59xx|bbbbbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66;ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  6/usr/bin/python3.866wae59xx|bbbbbbbbb  6/usr/bin/python3.8ˉ66ˉ 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbˉ  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb663ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  6/usr/include/x86_64-linux-gnu/bits/string_fortified.hb66ae59xx|bbbbbbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbb  6/usr/include/x86_64-linux-gnu/bits/byteswap.hb66%ae59xx|bbbbbbbb  6/usr/bin/python3.866yae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866ae59xx|bbbbbbb ae59xx|bbbbbbbbb  6/usr/bin/python3.866yae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866yae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66Kae59xx|bbbbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbb  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866ae59xx|bbbbbbb  6PyObject_GetIter 6/usr/bin/python3.866 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbb  6_init 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cpython-38-x86_64-linux-gnu.sob66ae59xx|bbbbbbbbbbbbb ae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66'ae59xx|bbbbbbbbbbbb  6PyUnicode_AsUTF8AndSize 6/usr/bin/python3.8͇66͇ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb  6/usr/bin/python3.866yae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbbz  6/usr/bin/python3.866{ae59xx|bbbbbbbbb  6PyLong_AsUnsignedLong 6/usr/bin/python3.866 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbb  6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66ae59xx|bbbbbbbbbbbbz  6/usr/bin/python3.866{ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  6/usr/bin/python3.866yae59xx|bbbbbbbbb  6/usr/bin/python3.866ae59xx|bbbbbbb  6/usr/bin/python3.866yae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866yae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66:ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866ae59xx|bbbbbbb  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ  6/usr/include/python3.8/object.hb66ae59xx|bbbbbbbbb  6/usr/bin/python3.8א66אae59xx|bbbbbbbbbא ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  6/usr/bin/python3.866ae59xx|bbbbbbb ae59xx|bbbbbbbbb  6/usr/bin/python3.866xae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.8ˉ66ˉ 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbܐ  6/usr/include/x86_64-linux-gnu/bits/string_fortified.hb66ae59xx|bbbbbbbb  6./string/../sysdeps/x86_64/multiarch/memset-vec-unaligned-erms.Sđz66 6PyTuple_Pack 6/usr/bin/python3.866z 6_PyDictView_New 6/usr/bin/python3.8܌66܌ 6/usr/bin/python3.866ae59xx|bbbbbbb܌đz  6/usr/bin/python3.866w 6/usr/bin/python3.8ٌ66ٌae59xx|bbbbbbbٌ ae59xx|bbbbbbbbb  6/usr/bin/python3.8ؐ66ؐae59xx|bbbbbbbbbؐ  6/usr/bin/python3.866zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cpython-38-x86_64-linux-gnu.sob66ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbܐ  6./string/../sysdeps/x86_64/multiarch/memset-vec-unaligned-erms.Sđz66ae59xx|bbbbbbb܌đz  6_PyObject_GenericGetAttrWithDict 6/usr/bin/python3.8މ66މ 6/usr/bin/python3.8ˉ66ˉ 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66ae59xx|bbbbbbbˉމ ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866wae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz  6./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz66 ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  6__Pyx__ExceptionReset.isra.0b66 6/usr/include/python3.8/object.hb66ae59xx|bbbbbbbbb  6/usr/bin/python3.8·66·ae59xx|bbbbbbbbbbb· ae59xx|bbbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack_template.hb66ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  6PyObject_RichCompare 6/usr/bin/python3.866 6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66(ae59xx|bbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66'ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb  6/usr/bin/python3.866xae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  6/usr/bin/python3.866yae59xx|bbbbbbbbb  6/usr/bin/python3.8ې66ېae59xx|bbbbbbbbbې  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb66/ae59xx|bbbbbbbbbbb  6/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb66;ae59xx|bbbbbbbbbbbb  7/usr/bin/python3.87ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack_template.hb76 ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|ʌbbbbbz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|ʌbbbbbz  7/usr/bin/python3.876ae59xx|ʌbbbbb  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbb  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbby ae59xx|ʌbbbbb ae59xx|ʌbbbbby ae59xx|bbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76/ae59xx|bbbbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb769ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb763ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbbz b66ae59xx|bbbbbbbbbb  7/usr/bin/python3.8ܐ76ܐae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbbܐ  ŀ7/usr/include/x86_64-linux-gnu/bits/string_fortified.hbŀ76ae59xx|bbbbbbbbbbbb  ɀ7/usr/bin/python3.8ɀ76wae59xx|bbbbbbbbb ae59xx|bbbbbbb  ΀7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb΀76Lae59xx|bbbbbbbbbb ae59xx|bbbbbbbbb  Ҁ7/usr/bin/python3.8Ҁ76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbǑz  ׀7/usr/bin/python3.8׀76yae59xx|bbbbbbbbb  ۀ7/usr/bin/python3.8ۀ76wae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbb  7/usr/bin/python3.8ˉ76ˉ 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/usr/bin/python3.876 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbbb b66ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876w 7/usr/bin/python3.8Ό76Όae59xx|bbbbbbbbΌ  7/usr/bin/python3.8͇76͇ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbbbb  7/usr/bin/python3.876xae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876wae59xx|bbbbbbbbΌ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.8݁76݁ae59xx|bbbbbbbbbbb݁  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.8͇76͇ae59xx|bbbbbbbbbbb͇  7/usr/bin/python3.876{ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb א66ae59xx|bbbbbbbbbא  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76ae59xx|bbbbbbbbbbbbz  Ł7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbŁ76ae59xx|bbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  ʁ7PyDict_SetItem ́7/usr/bin/python3.8́7ʁ7yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ͇66ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbܐ  Ӂ7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbӁ763ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb  ؁7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb؁76ae59xx|bbbbbbbbb  ܁7/usr/bin/python3.8܁76yae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbbz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb764ae59xx|bbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76#ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb܌đz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7__mmap 7./misc/../sysdeps/unix/sysv/linux/mmap64.cy77: 7_PyTypes_Init 7/usr/bin/python3.877 7/usr/bin/python3.876wae59xx|bbbbbbbbby ae59xx|bbbbbbbbbܐ  7PyType_GenericNew 7/usr/bin/python3.8ˈ77ˈ 7PyNumber_Index 7/usr/bin/python3.877 7/usr/include/python3.8/object.hb76ae59xx|bbbbbbbˈ  7/usr/bin/python3.8߉76߉ae59xx|bbbbbbbˉ߉  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz 66ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|ʌbbbbbz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|ʌbbbbbz 66ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbby 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ae59xx|bbbbbbb  у7/usr/bin/python3.8у76xae59xx|bbbbbbbbb  փ7/usr/bin/python3.8փ76wae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb  ۃ7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbۃ762ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  ߃7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb߃76'ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbǑz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|bbbbbbbbbz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb܌đz ae59xx|bbbbbbbˉ  7/usr/bin/python3.876wae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76)ae59xx|bbbbbbbbbbbb  7/usr/bin/python3.876xae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|ʌbbbbbz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|ʌbbbbbz ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbby ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.876ae59xx|ʌbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76;ae59xx|bbbbbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76,ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb768ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876yae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  ń7/usr/bin/python3.8܁ń76܁ae59xx|bbbbbbbbbbb܁  ʄ7/usr/bin/python3.8ܐʄ76ܐae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  ΄7/usr/bin/python3.8΄76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbˉ߉ ae59xx|bbbbbbbbbܐ  ҄7/usr/bin/python3.8҄76ae59xx|bbbbbbb  ׄ7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbׄ76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz  ۄ7/usr/bin/python3.8ۄ76yae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbz  7/usr/bin/python3.876yae59xx|bbbbbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb  7/usr/bin/python3.876xae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.8͇76͇ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ʁ7ʁ7ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.87ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876{ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb 66 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7_Py_XDECREFb77 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876yae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbbǑz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876wae59xx|bbbbbbbbb ae59xx|bbbbbbb܌đz  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76,ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb܌đz  7/usr/bin/python3.8ؐ76ؐae59xx|bbbbbbbbbؐ  7/usr/bin/python3.87ʁ7yae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76+ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbbܐ  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|ʌbbbbbz ae59xx|ʌbbbbbz ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbb  7timer_settime …7./malloc/malloc.cߑy…77 Dž7__default_morecore ȅ7./malloc/malloc.cyȅ7Dž7H ͅ7free υ7./malloc/malloc.cӓyυ7ͅ75 Ӆ7/usr/bin/python3.8Ӆ76yae59xx|bbbbbbbbbӓyyߑy  ؅7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb؅762ae59xx|bbbbbbbbb  ݅7/usr/bin/python3.8݅76zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb· ae59xx|bbbbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76+ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbbbbz  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb761ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbbbb ae59xx|bbbbbbb  7/usr/bin/python3.876{ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.8·76·ae59xx|bbbbbbbbbbb· b66ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbbא ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.87˃7ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.8ې76ېae59xx|bbbbbbbbbې  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76*ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbb  7/usr/bin/python3.876xae59xx|bbbbbbbbb ae59xx|bbbbbbbbbؐ  7/usr/bin/python3.876ae59xx|bbbbbbb  7/usr/bin/python3.876xae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cpython-38-x86_64-linux-gnu.sob76ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbb  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbbbb  7/usr/bin/python3.876{ae59xx|bbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb  Ć7/usr/bin/python3.8Ć76xae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbb b66ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbb  ˆ7/usr/bin/python3.8ېˆ76ېae59xx|bbbbbbbbbې  І7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cpython-38-x86_64-linux-gnu.sobІ76ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz  Ԇ7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.SzԆ76 ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb  ن7/usr/bin/python3.8ن76yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbb ae59xx|bbbbbbbb  ކ7/usr/bin/python3.8ކ76xae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876{ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.877 7/usr/include/python3.8/object.hb76ae59xx|bbbbbbb  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|ʌbbbbbz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|ʌbbbbbz ae59xx|ʌbbbbb ae59xx|ʌbbbbby ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbb  7/usr/bin/python3.876wae59xx|bbbbbbbbb  7_Py_Dealloc77 7/usr/include/python3.8/object.hb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbې ae59xx|bbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876yae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb  7/usr/bin/python3.8ȉ76ȉ 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbȉ  7/usr/bin/python3.876ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack_template.hb76 ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/include/python3.8/object.hb77 ‡7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb‡76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbb  LJ7/usr/bin/python3.8LJ76wae59xx|bbbbbbbbb  ̇7/usr/bin/python3.8މ̇76މ ч7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbч76ae59xx|bbbbbbbˉމ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbb܌đz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbא  Շ7/usr/bin/python3.8Շ76ae59xx|bbbbbbb ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb  ڇ7/usr/bin/python3.8ڇ76yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  ߇7/usr/bin/python3.8߇76yae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb܁ ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876xae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/include/python3.8/object.hb77 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbbǑz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbb  7/usr/bin/python3.8͇76͇ae59xx|bbbbbbbbbbb͇ ae59xx|bbbbbbbbbbb  7/usr/bin/python3.876{ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb763ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb ae59xx|bbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.8Ќ76Ќae59xx|bbbbbbbbЌ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|ʌbbbbbz  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76 ae59xx|ʌbbbbbz ae59xx|ʌbbbbb ae59xx|ʌbbbbb  7/usr/bin/python3.876ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.877 7/usr/include/python3.8/object.hb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbz  ň7/usr/bin/python3.8ň76yae59xx|bbbbbbbbb  Ɉ7__Pyx_PyInt_As_uint64_t ˈ7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbˈ7Ɉ7 Ј7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbЈ76ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb  Ԉ7/usr/bin/python3.8Ԉ76yae59xx|bbbbbbbbb  و7/usr/bin/python3.8و76zae59xx|bbbbbbbbb  ݈7/usr/bin/python3.8݈76zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876{ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876zae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876yae59xx|bbbbbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76;ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack_template.hb76ae59xx|bbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76+ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbby ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb  7/usr/bin/python3.8א76אae59xx|bbbbbbbbbא ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbb  7__Pyx_PyObject_IsTrue 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb77 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb܌đz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb 66ae59xx|bbbbbbbbb  7/usr/bin/python3.876yae59xx|bbbbbbbbb  7/usr/bin/python3.8ܐ76ܐae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbˉމ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876wae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbbz  Ɖ7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.SzƉ76 ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  ʉ7/usr/bin/python3.8ʉ76yae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  ω7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbω76+ae59xx|bbbbbbbbbbb  ҉7/usr/bin/python3.8ˉ҉76ˉ ׉7/usr/bin/python3.8׉76 ۉ7/usr/bin/python3.8ۉ7˃7ae59 7/home/gabriele/Projects/dd-trace-py/ddtrace/span.py 7span_type/77xx|bbbbbbbˉ/ˉ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cpython-38-x86_64-linux-gnu.sob76 7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76(ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbb ae59xx|bbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb762ae59xx|bbbbbbbbb  7/usr/bin/python3.8݌76݌ae59xx|bbbbbbb݌ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76'ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb ae59xx|ʌbbbbbz ae59xx|ʌbbbbbz ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby  7/usr/bin/python3.876ae59xx|ʌbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb767ae59xx|ʌbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876yae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876zae59xx|bbbbbbbbb  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.8·76·ae59xx|bbbbbbbbbbb· ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/include/python3.8/object.hb76ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz76ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbb  7/usr/bin/python3.876wae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.8ށ76ށae59xx|bbbbbbbbbbbށ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb762ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb݁ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb 66ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbؐ ae59xx|bbbbbbb܌đz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  Š7/usr/bin/python3.8Š76yae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ  NJ7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cbNJ76ae59xx|bbbbbbb  ̊7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz̊76ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ 66ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbؐ  ӊ7/usr/bin/python3.8ӊ76{ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbǑz  ׊7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz׊76 ae59xx|bbbbbbbbbz  ܊7./string/../sysdeps/x86_64/multiarch/memmove-vec-unaligned-erms.Sz܊76 ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbb  7/usr/bin/python3.876ae59xx|bbbbbbbˉ/ b66ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876ae59xx|bbbbbbb ae59xx|ʌbbbbbz ae59xx|ʌbbbbbz ae59xx|ʌbbbbby ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbb ae59xx|ʌbbbbby ae59xx|ʌbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbb  7/usr/bin/python3.876xae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb  7/usr/bin/python3.876ae59xx|bbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb76ae59xx|bbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbbˉ ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/usr/bin/python3.876wae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/_encoding.cb763ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb764ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbˉ߉ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.8݁76݁ae59xx|bbbbbbbbbbb݁ ae59xx|bbbbbbbbbܐ  7/usr/bin/python3.876wae59xx|bbbbbbbٌ ae59xx|bbbbbbb ae59xx|bbbbbbbbbz ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbbbbbz ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbb ae59xx|bbbbbbb ae59xx|bbbbbbbb ae59xx|bbbbbbbbb ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76ae59xx|bbbbbbbbbbb ae59xx|bbbbbbbbb  7/home/gabriele/Projects/dd-trace-py/ddtrace/internal/pack.hb76;ae59xx|bbbbbbbbbbbb ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbbܐ ae59xx|bbbbbbbbb duration4000738austin_python-2.6.0/test/data/column.mojo0000644000000000000000000362150413615410400015431 0ustar00MOJaustin3.5.0interval100modewall7ff84416c8c0 ª/tmp/column.py lazyKª  Jª KªKJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 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7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0KJK 7ff84416c8c0Kª K 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 7ff84416c8c0 duration3059808austin_python-2.6.0/test/data/column.py0000644000000000000000000000036713615410400015110 0ustar00from time import sleep def lazy(n): for _ in range(n): sleep(0.1) yield _ def fib(n): a, b = 0, 1 for _ in range(n): yield a a, b = b, a + b a = [ list(fib(_)) for _ in lazy(30) ] print(a) austin_python-2.6.0/test/data/diff_a-b.austin0000644000000000000000000000022413615410400016105 0ustar00base (__main__.py:2);middle (utils.py:5);wrapper (decorators.py:4);top (logging.py:42) 2 base (__main__.py:2);middle (utils.py:5);new (db.py:87) 36 austin_python-2.6.0/test/data/diff_a.austin0000644000000000000000000000034013615410400015665 0ustar00P403;Tx87;__main__.py:base:2;utils.py:middle:5;decorators.py:wrapper:4);logging.py:top:42 12 P403;Tx87;__main__.py:base:2;utils.py:middle:5;logging.py:pop:82 47 P403;Tx87;__main__.py:base:2;utils.py:middle:5;db.py:new:87 36 austin_python-2.6.0/test/data/diff_b.austin0000644000000000000000000000021013615410400015662 0ustar00P403;Tx87;__main__.py:base:2;utils.py:middle:5;logging.py:top:42 10 P403;Tx87;__main__.py:base:2;utils.py:middle:5;logging.py:pop:82 50 austin_python-2.6.0/test/data/mp.austin0000644000000000000000000432414313615410400015107 0ustar00# austin: 3.4.1 # interval: 1000 # mode: wall # multiprocess: on P8374;T8374;:__init__:94;:_read_directory:354 12903 P8374;T8374;:__init__:94;:_read_directory:354 272 P8374;T8374;:__init__:94;:_read_directory:362 1772 P8374;T8374;:__init__:94;:_read_directory:362 1389 P8374;T8374 1887 P8374;T8374 1459 P8374;T8374 1425 P8374;T8374;test/targets/target_mp.py::25;:_find_and_load:991;:_find_and_load_unlocked:971;:_find_spec:914;:find_spec:1407;:_get_spec:1379;:find_spec:1510;:_fill_cache:1553 1907 P8374;T8374;test/targets/target_mp.py::25;:_find_and_load:991;:_find_and_load_unlocked:971;:_find_spec:914;:find_spec:1407;:_get_spec:1379;:find_spec:1510;:_fill_cache:1553 1393 P8374;T8374;test/targets/target_mp.py::25;:_find_and_load:991;:_find_and_load_unlocked:971;:_find_spec:914;:find_spec:1407;:_get_spec:1379;:find_spec:1525;:_path_isfile:156;:_path_is_mode_type:148;:_path_stat:142 1618 P8374;T8374;test/targets/target_mp.py::25;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/__init__.py::16;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/context.py::5;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/process.py::19;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:get_code:971;:_compile_bytecode:645 2542 P8374;T8374;test/targets/target_mp.py::25;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/__init__.py::16;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/context.py::6;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/reduction.py::15;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/pickle.py::33;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:657;:module_from_spec:562;:_init_module_attrs:541 1723 P8374;T8374;test/targets/target_mp.py::25;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/__init__.py::16;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/context.py::6;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/reduction.py::15;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/pickle.py::34;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/re.py::315;/usr/lib/python3.8/sre_compile.py:compile:780;/usr/lib/python3.8/sre_parse.py:parse:967;/usr/lib/python3.8/sre_parse.py:_parse_sub:449;/usr/lib/python3.8/sre_parse.py:_parse:859 1508 P8374;T8374;test/targets/target_mp.py::25;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/__init__.py::16;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/context.py::6;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/reduction.py::16;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/socket.py::52;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/selectors.py::11;:_find_and_load:991;:__enter__:149;:_get_module_lock:191;:__init__:64 1727 P8374;T8374;test/targets/target_mp.py::25;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/__init__.py::16;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/context.py::6;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/reduction.py::16;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/socket.py::78;/usr/lib/python3.8/enum.py:_convert_:510;/usr/lib/python3.8/enum.py:__call__:341;/usr/lib/python3.8/enum.py:_create_:465;/usr/lib/python3.8/enum.py:__new__:261 1451 P8374;T8374;test/targets/target_mp.py::46;/usr/lib/python3.8/multiprocessing/process.py:start:121;/usr/lib/python3.8/multiprocessing/context.py:_Popen:224;/usr/lib/python3.8/multiprocessing/context.py:_Popen:276;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/popen_fork.py::4;:_handle_fromlist:1042;:_call_with_frames_removed:219;:_find_and_load:991;:_find_and_load_unlocked:975;:_find_spec:932;:find_spec:1421;:_get_spec:1385;:find_spec:1540;:_path_join:123;::123 1566 P8374;T8374;:INVALID: 2012 P8374;T8374;test/targets/target_mp.py::46;/usr/lib/python3.8/multiprocessing/process.py:start:121;/usr/lib/python3.8/multiprocessing/context.py:_Popen:224;/usr/lib/python3.8/multiprocessing/context.py:_Popen:277;/usr/lib/python3.8/multiprocessing/popen_fork.py:__init__:19;/usr/lib/python3.8/multiprocessing/popen_fork.py:_launch:79 2232 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:43;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/connection.py::18;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:839;:get_code:971;:_compile_bytecode:640 2719 P8374;T8374;:INVALID:;/usr/lib/python3.8/abc.py:__new__:85 2328 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:43;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/multiprocessing/connection.py::18;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/tempfile.py::44;:_find_and_load:991;:_find_and_load_unlocked:975;:_load_unlocked:671;:exec_module:843;:_call_with_frames_removed:219;/usr/lib/python3.8/shutil.py::89 1267 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1645 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1588 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1611 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1684 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1635 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1635 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1642 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1845 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1642 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1989 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1654 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 2035 P8374;T8374;test/targets/target_mp.py::50;/usr/lib/python3.8/multiprocessing/process.py:join:149;/usr/lib/python3.8/multiprocessing/popen_fork.py:wait:44;/usr/lib/python3.8/multiprocessing/connection.py:wait:931;/usr/lib/python3.8/selectors.py:select:415 1419 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P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 24 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 24 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1090 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1090 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1142 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:30 1142 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:30 960 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 960 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1009 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1009 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1003 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1003 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P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 994 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 845 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 845 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P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 948 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1019 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:31 1019 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 992 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:31 992 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1006 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:31 1006 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1020 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1020 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P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 933 P1155;T0:6148403200;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap:1012;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread._bootstrap_inner:1041;/Users/gabriele.tornetta/.pyenv/versions/3.13.1/lib/python3.13/threading.py:Thread.run:992;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1120 P1155;T0:8306874560;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py::38;/Users/gabriele.tornetta/p403n1x87/austin/test/targets/target34.py:keep_cpu_busy:32 1120 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0ustar00austin_python-2.6.0/test/format/test_compress.py0000644000000000000000000000625313615410400017064 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import io from pathlib import Path from unittest.mock import patch import pytest from austin.format.collapsed_stack import AustinFileReader from austin.format.compress import compress from austin.format.compress import main def test_compress(datapath: Path): with AustinFileReader((datapath / "austin.out").open()) as original: compressed = io.StringIO() compress(original, compressed) compressed_value = compressed.getvalue() assert compressed_value assert len(compressed_value.splitlines()) < len( (datapath / "austin.out").open().readlines() ) def test_compress_counts(datapath: Path): with AustinFileReader((datapath / "austin.out").open()) as original: compressed = io.StringIO() compress(original, compressed, counts=True) for sample in compressed.getvalue().splitlines(): head, _, metric = sample.rpartition(" ") if ( head == "P82848;T534600;" "/home/gabriele/Projects/austin/test/target34.py::38;" "/home/gabriele/Projects/austin/test/target34.py:keep_cpu_busy:32" ): assert int(metric) == 19 break else: print(compressed.getvalue()) msg = "Expected sample not found in compressed output" raise AssertionError(msg) def test_compress_main(datapath: Path, tmp_path: Path): output = tmp_path / "output.out" with patch( "sys.argv", ["austin-compress", str(datapath / "austin.out"), str(output)] ): main() assert output.exists() assert output.stat().st_size > 0 def test_compress_main_counts(datapath: Path, tmp_path: Path): output = tmp_path / "output_counts.out" with patch( "sys.argv", ["austin-compress", "--counts", str(datapath / "austin.out"), str(output)], ): main() assert output.exists() def test_compress_main_missing_file(tmp_path: Path): missing = tmp_path / "nonexistent.out" output = tmp_path / "out.out" with patch("sys.argv", ["austin-compress", str(missing), str(output)]): with pytest.raises(SystemExit) as exc_info: main() assert exc_info.value.code == 1 austin_python-2.6.0/test/format/test_mojo.py0000644000000000000000000007072713615410400016204 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2022 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import asyncio import sys import tempfile import typing as t from io import BytesIO from pathlib import Path from random import randint import pytest from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.events import AustinTask from austin.events import AustinTaskReport from austin.format.collapsed_stack import main from austin.format.mojo import UNKNOWN from austin.format.mojo import MojoFrame from austin.format.mojo import MojoFrameReference from austin.format.mojo import MojoMetadata from austin.format.mojo import MojoMetric from austin.format.mojo import MojoMetricType from austin.format.mojo import AsyncMojoStreamReader from austin.format.mojo import MojoStack from austin.format.mojo import MojoStreamReader from austin.format.mojo import MojoStreamWriter from austin.format.mojo import MojoString from austin.format.mojo import MojoTaskRunning from austin.format.mojo import MojoTaskStack from austin.format.mojo import MojoTaskWaiter from austin.format.mojo import to_varint HERE = Path(__file__).parent DATA = HERE.parent / "data" @pytest.mark.parametrize("case", ["test", "mp", "repeat"]) def test_mojo_snapshot(case): input = (DATA / case).with_suffix(".mojo") output = Path(tempfile.NamedTemporaryFile().name).with_suffix(".austin") expected = (DATA / case).with_suffix(".austin") sys.argv = ["mojo2austin", str(input), str(output)] main() if not expected.exists(): expected.write_text(output.read_text()) raise AssertionError("Expected file does not exist. Created it.") assert expected.read_text()[:128] == output.read_text()[:128] def test_mojo_varint(): for _ in range(100_000): n = randint(int(-4e9), int(4e9)) buffer = BytesIO() buffer.write(to_varint(n)) buffer.seek(0) assert MojoStreamReader(buffer).read_int() == n def test_mojo_column_info(): with (DATA / "column.mojo").open("rb") as stream: frames = { _ for _ in MojoStreamReader(stream).parse() if isinstance(_, MojoFrame) and _.filename.value == "/tmp/column.py" } assert frames == { MojoFrame( key=1289736945696, filename=MojoString(key=20271280, value="/tmp/column.py"), scope=MojoString(key=28930616, value=""), line=15, line_end=18, column=5, column_end=2, ), MojoFrame( key=1293162643485, filename=MojoString(key=20271280, value="/tmp/column.py"), scope=MojoString(key=20364976, value="lazy"), line=5, line_end=5, column=9, column_end=19, ), MojoFrame( key=1293180469286, filename=MojoString(key=20271280, value="/tmp/column.py"), scope=MojoString(key=20357744, value="fib"), line=11, line_end=13, column=5, column_end=24, ), MojoFrame( key=1276044640259, filename=MojoString(key=20271280, value="/tmp/column.py"), scope=MojoString(key=28930552, value=""), line=15, line_end=18, column=5, column_end=2, ), MojoFrame( key=1289736945703, filename=MojoString(key=20271280, value="/tmp/column.py"), scope=MojoString(key=28930616, value=""), line=20, line_end=20, column=1, column_end=9, ), MojoFrame( key=1293162643483, filename=MojoString(key=20271280, value="/tmp/column.py"), scope=MojoString(key=20364976, value="lazy"), line=5, line_end=5, column=9, column_end=19, ), MojoFrame( key=1276044640281, filename=MojoString(key=20271280, value="/tmp/column.py"), scope=MojoString(key=28930552, value=""), line=16, line_end=16, column=5, column_end=17, ), } def test_mojo_data(): input = (DATA / "test").with_suffix(".mojo") with input.open("rb") as stream: m = MojoStreamReader(stream) m.unwind() assert m.metadata == { "austin": "3.4.0", "duration": "1038089", "interval": "100", "mode": "wall", } n_samples = len(m.samples) assert n_samples == 13227 def test_mojo_writer(): buffer = BytesIO() mojo_writer = MojoStreamWriter(buffer) mojo_writer.write(original_meta := AustinMetadata("mode", "wall")) for sample in ( original_samples := [ AustinSample( pid=42, iid=0, thread="0x7f45645646", metrics=AustinMetrics(time=1, memory=None), frames=None, gc=None, idle=None, ), AustinSample( pid=42, iid=0, thread="0x7f45645646", metrics=AustinMetrics(time=300, memory=None), frames=( AustinFrame( filename="foo_module.py", function="foo", line=10, line_end=0, column=0, column_end=0, ), ), gc=None, idle=None, ), AustinSample( pid=42, iid=0, thread="0x7f45645646", metrics=AustinMetrics(time=1000, memory=None), frames=( AustinFrame( filename="foo_module.py", function="foo", line=10, line_end=0, column=0, column_end=0, ), AustinFrame( filename="bar_sample.py", function="bar", line=20, line_end=0, column=0, column_end=0, ), ), gc=None, idle=None, ), ] ): mojo_writer.write(sample) buffer.seek(0) mojo_reader = MojoStreamReader(buffer) meta, *samples = mojo_reader assert meta == original_meta assert samples == original_samples def _mojo_stream(*events: bytes) -> BytesIO: buffer = BytesIO() buffer.write(b"MOJ") buffer.write(to_varint(4)) for event in events: buffer.write(event) buffer.seek(0) return buffer def _mojo_task_frame(key: int) -> t.Tuple[MojoFrame, bytes]: """A minimal frame, referencing the predefined UNKNOWN string (key 1) for both filename and scope so the test doesn't need to register its own.""" frame = MojoFrame( key=key, filename=UNKNOWN, scope=UNKNOWN, line=key, line_end=0, column=0, column_end=0, ) return frame, frame.to_bytes() + MojoFrameReference(frame).to_bytes() def test_mojo_tasks(): """Two sibling tasks (worker-0, worker-1) on one event loop, each with a captured suspended coroutine-chain snapshot -- exercises the root tasks built from the accumulated MOJO_TASK_STACK/MOJO_TASK_WAITER events, owned by the enclosing sample's thread purely through wire position (no explicit loop/thread tag exists on either event). Order matters: task-scan events (TASK_STACK/TASK_WAITER) are emitted between the enclosing MOJO_STACK header and the enclosing sample's own frames/closing metric -- see py_proc.c's per-thread sampling order -- so this builds the wire in that exact sequence rather than nesting the task stacks "inside" the sample's own frame dump. """ name = MojoString(key=5, value="worker-0") own_frame, own_frame_bytes = _mojo_task_frame(key=1) task_frame, task_frame_bytes = _mojo_task_frame(key=2) sibling_frame, sibling_frame_bytes = _mojo_task_frame(key=3) stream = _mojo_stream( MojoStack(pid=1, iid=0, tid="MainThread").to_bytes(), # Task scan: worker-1 (task_id=200) is awaited by worker-0 # (task_id=100) -- an edge, then each task's own suspended chain. name.to_bytes(), MojoTaskWaiter(task_id=200, waiter_id=100).to_bytes(), MojoTaskStack(task_id=100, name_key=5, frame_count=1).to_bytes(), task_frame_bytes, MojoTaskStack(task_id=200, name_key=0, frame_count=1).to_bytes(), sibling_frame_bytes, # Enclosing sample's own frame and closing metric. own_frame_bytes, MojoMetric(MojoMetricType.TIME, 1000).to_bytes(), ) reader = MojoStreamReader(stream) reader.unwind() assert len(reader.samples) == 1 sample = reader.samples[0] # Both are first reports: no previous position, no time. As the stream's # last sample, it also carries the end-of-stream reports, with the time # both tasks spent at their position: that of the sample itself. first = {r.task_id: r for r in sample.task_reports if r.previous is None} end = {r.task_id: r for r in sample.task_reports if r.previous is not None} assert set(first) == set(end) == {100, 200} assert all(r.elapsed == 0 and not r.closing for r in first.values()) assert all(r.elapsed == 1000 and r.frames == r.previous for r in end.values()) (root,) = sample.tasks assert root.task_id == 100 assert root.name == "worker-0" assert root.frames == ( AustinFrame( filename="", function="", line=2, line_end=0, column=0, column_end=0, ), ) (child,) = root.awaiting assert child.task_id == 200 assert child.name is None assert child.awaiting == () assert child.frames == ( AustinFrame( filename="", function="", line=3, line_end=0, column=0, column_end=0, ), ) def test_mojo_tasks_writer_round_trip(): """A sample carrying tasks survives MojoStreamWriter -> MojoStreamReader, including a task with more than one waiter -- the case write_tasks's own docstring warns needs edges for one task_id written contiguously. task_id itself is NOT expected to survive unchanged: resolve_task_id compresses it exactly like frame/string keys, since the original remote address carries no meaning of its own -- only the shape (identity, values, and waiter relationships) needs to come back out the same. """ leaf = AustinTask( task_id=300, name="shared-leaf", frames=( AustinFrame( filename="shared.py", function="leaf", line=7, line_end=0, column=0, column_end=0, ), ), ) root_a = AustinTask( task_id=100, name="worker-0", frames=( AustinFrame( filename="worker.py", function="run", line=1, line_end=0, column=0, column_end=0, ), ), awaiting=(leaf,), ) root_b = AustinTask( task_id=200, name=None, frames=( AustinFrame( filename="worker.py", function="run", line=2, line_end=0, column=0, column_end=0, ), ), awaiting=(leaf,), ) original_sample = AustinSample( pid=1, iid=0, thread="MainThread", metrics=AustinMetrics(time=1000, memory=None), frames=None, tasks=(root_a, root_b), task_reports=tuple( AustinTaskReport( task_id=task.task_id, name=task.name, frames=task.frames, previous=None, elapsed=elapsed, ) for task, elapsed in ((leaf, 150), (root_a, 500), (root_b, 200)) ), ) buffer = BytesIO() writer = MojoStreamWriter(buffer) writer.write(original_sample) buffer.seek(0) (sample,) = MojoStreamReader(buffer) # task_id values are remapped by the writer's own compression, so the # roots are identified by name (their one stable, human-meaningful # property) rather than by their original -- now-gone -- task_id. tree_by_name = {task.name: task for task in sample.tasks} assert set(tree_by_name) == {"worker-0", None} worker_0 = tree_by_name["worker-0"] worker_1 = tree_by_name[None] # Task time isn't written: the reader works it out from the samples, so # every task gets a first report, and the sample's time at the end. first = {r.task_id: r.elapsed for r in sample.task_reports if r.previous is None} end = {r.task_id: r.elapsed for r in sample.task_reports if r.previous} assert len(first) == 3 and set(first.values()) == {0} assert set(end.values()) == {1000} # Confirms the ids actually changed (rather than this passing # vacuously) without hardcoding collection order: compression assigns # small, distinct, positive ids (0 stands for no task), nowhere near the # original 100/200/300 ids. assert worker_0.task_id != worker_1.task_id assert {worker_0.task_id, worker_1.task_id}.issubset(range(1, 4)) # The shared leaf must show up as a child of BOTH roots, with both # waiters preserved -- this is the multi-waiter edge case. Both copies # refer to the very same (remapped) task_id, since it's the same task. (leaf_via_0,) = worker_0.awaiting (leaf_via_1,) = worker_1.awaiting assert leaf_via_0.task_id == leaf_via_1.task_id assert leaf_via_0.name == "shared-leaf" assert leaf_via_0.task_id in end def test_mojo_task_closing_flush(): """A closing flush (empty frames, just a final elapsed value) closes the task: its report carries its last position and final time, and the task is gone from every later sample. It lands in whichever thread's window happens to be current when eviction runs -- by then every thread for the cycle has already had its turn -- so it must not reattribute the task to that thread either.""" task_frame, task_frame_bytes = _mojo_task_frame(key=1) t1_frame, t1_frame_bytes = _mojo_task_frame(key=2) t2_frame, t2_frame_bytes = _mojo_task_frame(key=3) t1_again_frame, t1_again_frame_bytes = _mojo_task_frame(key=4) name = MojoString(key=5, value="worker") stream = _mojo_stream( # T1's sample: task 100 gets a real capture, owned by T1. MojoStack(pid=1, iid=0, tid="T1").to_bytes(), name.to_bytes(), MojoTaskStack(task_id=100, name_key=5, frame_count=1).to_bytes(), task_frame_bytes, t1_frame_bytes, MojoMetric(MojoMetricType.TIME, 1000).to_bytes(), # T2's sample: task 100's closing flush lands here -- empty frames, # no name, arbitrary window. MojoStack(pid=1, iid=0, tid="T2").to_bytes(), MojoTaskStack(task_id=100, name_key=0, frame_count=0).to_bytes(), t2_frame_bytes, MojoMetric(MojoMetricType.TIME, 2000).to_bytes(), # T1's second sample: task 100 is gone. MojoStack(pid=1, iid=0, tid="T1").to_bytes(), t1_again_frame_bytes, MojoMetric(MojoMetricType.TIME, 3000).to_bytes(), ) reader = MojoStreamReader(stream) reader.unwind() t1_first, t2_sample, t1_second = reader.samples assert len(t1_first.tasks) == 1 (report,) = t2_sample.task_reports assert report.closing assert report.task_id == 100 assert report.name == "worker" # The time of T1's sample, which task 100 spent at its position. assert report.elapsed == 1000 assert report.previous == ( AustinFrame( filename="", function="", line=1, line_end=0, column=0, column_end=0, ), ) assert t2_sample.tasks == () assert t1_second.tasks == () assert t1_second.task_reports == () def _task_running_stream() -> bytes: """Two samples on one thread: the first while it runs task 100, the second while it runs no task.""" task_frame, task_frame_bytes = _mojo_task_frame(key=1) own_frame, own_frame_bytes = _mojo_task_frame(key=2) return _mojo_stream( MojoStack(pid=1, iid=0, tid="MainThread").to_bytes(), MojoTaskStack(task_id=100, name_key=0, frame_count=1).to_bytes(), task_frame_bytes, MojoTaskRunning(task_id=100).to_bytes(), own_frame_bytes, MojoMetric(MojoMetricType.TIME, 1000).to_bytes(), MojoStack(pid=1, iid=0, tid="MainThread").to_bytes(), MojoFrameReference(own_frame).to_bytes(), MojoMetric(MojoMetricType.TIME, 2000).to_bytes(), ).getvalue() def test_mojo_task_running(): """MOJO_TASK_RUNNING sets the running task of the sample it appears in, and of that sample only.""" reader = MojoStreamReader(BytesIO(_task_running_stream())) reader.unwind() running, idle = reader.samples assert running.running_task == 100 assert running.metrics.time == 1000 assert idle.running_task is None @pytest.mark.asyncio async def test_mojo_task_running_async(): """Same as test_mojo_task_running, with the asynchronous reader.""" stream = asyncio.StreamReader() stream.feed_data(_task_running_stream()) stream.feed_eof() reader = AsyncMojoStreamReader(stream) samples = [e async for e in reader if isinstance(e, AustinSample)] running, idle = samples assert running.running_task == 100 assert idle.running_task is None def test_mojo_task_running_writer_round_trip(): """A sample's running task survives MojoStreamWriter -> MojoStreamReader, under the same compressed id as the task it refers to.""" frame = AustinFrame( filename="worker.py", function="work", line=1, line_end=0, column=0, column_end=0, ) task = AustinTask(task_id=100, name="worker", frames=(frame,)) buffer = BytesIO() writer = MojoStreamWriter(buffer) writer.write(AustinMetadata("mode", "wall")) writer.write( AustinSample( pid=1, iid=0, thread="MainThread", metrics=AustinMetrics(time=1000), frames=(frame,), tasks=(task,), running_task=100, ) ) buffer.seek(0) reader = MojoStreamReader(buffer) reader.unwind() (sample,) = reader.samples (read_task,) = sample.tasks assert sample.running_task == read_task.task_id assert sample.running_task != 0 def _task_report(task_id: int, frame_bytes: bytes) -> bytes: """A report of a task at a single frame (frame_bytes: its definition and reference).""" return ( MojoTaskStack(task_id=task_id, name_key=0, frame_count=1).to_bytes() + frame_bytes ) def _austin_frame(frame: MojoFrame) -> AustinFrame: return AustinFrame( filename=frame.filename.value, function=frame.scope.value, line=frame.line, line_end=frame.line_end, column=frame.column, column_end=frame.column_end, ) def _sample_end(frame_bytes: bytes) -> bytes: return frame_bytes + MojoMetric(MojoMetricType.TIME, 1000).to_bytes() def _roots(sample: AustinSample) -> t.Set[int]: return {task.task_id for task in sample.tasks} def test_mojo_task_reports_counted_once(): """A task report is attached to the sample it came with only, and its time is for the task's previous position, which it carries along: the time of the task's thread's samples while it was there.""" first_frame, first_bytes = _mojo_task_frame(key=1) second_frame, second_bytes = _mojo_task_frame(key=2) own_frame, own_bytes = _mojo_task_frame(key=3) stream = _mojo_stream( MojoStack(pid=1, iid=0, tid="T").to_bytes(), _task_report(100, first_bytes), _sample_end(own_bytes), MojoStack(pid=1, iid=0, tid="T").to_bytes(), _sample_end(MojoFrameReference(own_frame).to_bytes()), MojoStack(pid=1, iid=0, tid="T").to_bytes(), _task_report(100, second_bytes), _sample_end(MojoFrameReference(own_frame).to_bytes()), ) reader = MojoStreamReader(stream) reader.unwind() first, quiet, second = reader.samples assert [s.task_reports != () for s in reader.samples] == [True, False, True] assert _roots(quiet) == {100} # The two samples before it, at the first position. report, end = second.task_reports assert report.previous == (_austin_frame(first_frame),) assert report.frames == (_austin_frame(second_frame),) assert report.elapsed == 2000 # Its own, at the second, carried by the end-of-stream report. assert end.previous == end.frames == report.frames assert end.elapsed == 1000 assert sum(r.elapsed for s in reader.samples for r in s.task_reports) == 3000 def test_mojo_task_waiter_none(): """A waiter of 0 means the task no longer has any waiter.""" _, a_bytes = _mojo_task_frame(key=1) _, b_bytes = _mojo_task_frame(key=2) own_frame, own_bytes = _mojo_task_frame(key=3) stream = _mojo_stream( MojoStack(pid=1, iid=0, tid="T").to_bytes(), _task_report(100, a_bytes), _task_report(200, b_bytes), MojoTaskWaiter(task_id=200, waiter_id=100).to_bytes(), _sample_end(own_bytes), MojoStack(pid=1, iid=0, tid="T").to_bytes(), MojoTaskWaiter(task_id=200, waiter_id=0).to_bytes(), _sample_end(MojoFrameReference(own_frame).to_bytes()), ) reader = MojoStreamReader(stream) reader.unwind() awaited, released = reader.samples assert _roots(awaited) == {100} assert _roots(released) == {100, 200} def test_mojo_task_waiter_sets_dont_merge_across_samples(): """Two waiter sets for the same task, one per sample, are two complete sets: the second replaces the first even with nothing in between.""" _, a_bytes = _mojo_task_frame(key=1) _, b_bytes = _mojo_task_frame(key=2) _, c_bytes = _mojo_task_frame(key=3) own_frame, own_bytes = _mojo_task_frame(key=4) stream = _mojo_stream( MojoStack(pid=1, iid=0, tid="T").to_bytes(), _task_report(100, a_bytes), _task_report(200, b_bytes), _task_report(300, c_bytes), MojoTaskWaiter(task_id=300, waiter_id=100).to_bytes(), _sample_end(own_bytes), MojoStack(pid=1, iid=0, tid="T").to_bytes(), MojoTaskWaiter(task_id=300, waiter_id=200).to_bytes(), _sample_end(MojoFrameReference(own_frame).to_bytes()), ) reader = MojoStreamReader(stream) reader.unwind() root_a, root_b = sorted(reader.samples[-1].tasks, key=lambda t: t.task_id) assert root_a.task_id == 100 and root_a.awaiting == () assert [c.task_id for c in root_b.awaiting] == [300] def test_mojo_task_unknown_waiter(): """A task awaited by a waiter that was never reported still shows up.""" _, a_bytes = _mojo_task_frame(key=1) _, own_bytes = _mojo_task_frame(key=2) stream = _mojo_stream( MojoStack(pid=1, iid=0, tid="T").to_bytes(), _task_report(100, a_bytes), MojoTaskWaiter(task_id=100, waiter_id=999).to_bytes(), _sample_end(own_bytes), ) reader = MojoStreamReader(stream) reader.unwind() assert _roots(reader.samples[0]) == {100} def test_mojo_task_closed_waiter(): """When a waiter closes, the task it awaited is no longer under it.""" _, a_bytes = _mojo_task_frame(key=1) _, b_bytes = _mojo_task_frame(key=2) own_frame, own_bytes = _mojo_task_frame(key=3) stream = _mojo_stream( MojoStack(pid=1, iid=0, tid="T").to_bytes(), _task_report(100, a_bytes), _task_report(200, b_bytes), MojoTaskWaiter(task_id=200, waiter_id=100).to_bytes(), _sample_end(own_bytes), MojoStack(pid=1, iid=0, tid="T").to_bytes(), MojoTaskStack(task_id=100, name_key=0, frame_count=0).to_bytes(), _sample_end(MojoFrameReference(own_frame).to_bytes()), ) reader = MojoStreamReader(stream) reader.unwind() assert _roots(reader.samples[-1]) == {200} def test_mojo_task_waiter_none_writer_round_trip(): """A task losing its last waiter survives MojoStreamWriter -> MojoStreamReader.""" frame = AustinFrame( filename="t.py", function="f", line=1, line_end=0, column=0, column_end=0 ) child = AustinTask(task_id=200, name="child", frames=(frame,)) parent = AustinTask(task_id=100, name="parent", frames=(frame,), awaiting=(child,)) def sample(tasks: t.Tuple[AustinTask, ...]) -> AustinSample: return AustinSample( pid=1, iid=0, thread="T", metrics=AustinMetrics(time=1000), frames=(frame,), tasks=tasks, ) buffer = BytesIO() writer = MojoStreamWriter(buffer) writer.write(AustinMetadata("mode", "wall")) writer.write(sample((parent,))) writer.write(sample((AustinTask(100, "parent", (frame,)), child))) buffer.seek(0) reader = MojoStreamReader(buffer) reader.unwind() awaited, released = reader.samples assert {t.name for t in awaited.tasks} == {"parent"} assert {t.name for t in released.tasks} == {"parent", "child"} def _derivation_stream(mode: str) -> BytesIO: """Tasks 100 and 200 on thread T, task 300 on thread U. T runs task 100 in its second sample. Every sample takes 1000.""" _, a_bytes = _mojo_task_frame(key=1) _, b_bytes = _mojo_task_frame(key=2) _, c_bytes = _mojo_task_frame(key=3) own_frame, own_bytes = _mojo_task_frame(key=4) own = MojoFrameReference(own_frame).to_bytes() return _mojo_stream( MojoMetadata("mode", mode).to_bytes(), MojoStack(pid=1, iid=0, tid="T").to_bytes(), _task_report(100, a_bytes), _task_report(200, b_bytes), _sample_end(own_bytes), MojoStack(pid=1, iid=0, tid="U").to_bytes(), _task_report(300, c_bytes), _sample_end(own), MojoStack(pid=1, iid=0, tid="T").to_bytes(), MojoTaskRunning(task_id=100).to_bytes(), _sample_end(own), MojoStack(pid=1, iid=0, tid="U").to_bytes(), _sample_end(own), ) def test_mojo_task_time_from_samples(): """A task accrues its own thread's sample time while it isn't running, and only that, until it is reported again (here, at the end).""" reader = MojoStreamReader(_derivation_stream("wall")) reader.unwind() end = {r.task_id: r.elapsed for r in reader.samples[-1].task_reports} # T's two samples, but the one it was running at; T's two samples; U's # two samples. assert end == {100: 1000, 200: 2000, 300: 2000} def test_mojo_task_time_cpu_mode(): """In CPU mode, a task that isn't running uses no CPU: no await time.""" reader = MojoStreamReader(_derivation_stream("cpu")) reader.unwind() reports = [r for s in reader.samples for r in s.task_reports] assert reports and all(r.elapsed == 0 for r in reports) assert all(r.previous is None for r in reports) austin_python-2.6.0/test/format/test_mojo_compress.py0000644000000000000000000002044013615410400020102 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from io import BytesIO from pathlib import Path from unittest.mock import patch import pytest from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.format.mojo import MojoStreamReader from austin.format.mojo import MojoStreamWriter from austin.format.mojo_compress import compress from austin.format.mojo_compress import main def make_mojo(events: list) -> BytesIO: buf = BytesIO() writer = MojoStreamWriter(buf) for event in events: writer.write(event) buf.seek(0) return buf FRAME_A = AustinFrame( filename="mod.py", function="foo", line=1, line_end=0, column=0, column_end=0 ) FRAME_B = AustinFrame( filename="mod.py", function="bar", line=2, line_end=0, column=0, column_end=0 ) def read_events(buf: BytesIO) -> list: buf.seek(0) return list(MojoStreamReader(buf)) def test_compress_reduces_sample_count(datapath: Path): with (datapath / "test.mojo").open("rb") as f: out = BytesIO() compress(f, out) out.seek(0) reader = MojoStreamReader(out) reader.unwind() assert len(reader.samples) < 13227 def test_compress_preserves_metadata(datapath: Path): with (datapath / "test.mojo").open("rb") as f: out = BytesIO() compress(f, out) out.seek(0) reader = MojoStreamReader(out) reader.unwind() assert reader.metadata["mode"] == "wall" def test_compress_aggregates_time(): src = make_mojo( [ AustinMetadata("mode", "wall"), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=100), frames=(FRAME_A,), gc=None, idle=None, ), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=200), frames=(FRAME_A,), gc=None, idle=None, ), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=50), frames=(FRAME_B,), gc=None, idle=None, ), ] ) out = BytesIO() compress(src, out) events = read_events(out) samples = [e for e in events if isinstance(e, AustinSample)] assert len(samples) == 2 by_frame = {s.frames[0].function: s for s in samples} assert by_frame["foo"].metrics.time == 300 assert by_frame["bar"].metrics.time == 50 def test_compress_aggregates_memory(): src = make_mojo( [ AustinMetadata("mode", "memory"), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(memory=1024), frames=(FRAME_A,), gc=None, idle=None, ), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(memory=512), frames=(FRAME_A,), gc=None, idle=None, ), ] ) out = BytesIO() compress(src, out) samples = [e for e in read_events(out) if isinstance(e, AustinSample)] assert len(samples) == 1 assert samples[0].metrics.memory == 1536 assert samples[0].metrics.time is None def test_compress_aggregates_full_mode(): src = make_mojo( [ AustinMetadata("mode", "full"), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=100, memory=512), frames=(FRAME_A,), gc=False, idle=False, ), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=200, memory=256), frames=(FRAME_A,), gc=False, idle=False, ), ] ) out = BytesIO() compress(src, out) samples = [e for e in read_events(out) if isinstance(e, AustinSample)] assert len(samples) == 1 assert samples[0].metrics.time == 300 assert samples[0].metrics.memory == 768 def test_compress_keeps_gc_and_idle_separate(): src = make_mojo( [ AustinMetadata("mode", "full"), AustinMetadata("gc", "on"), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=100, memory=0), frames=(FRAME_A,), gc=False, idle=False, ), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=50, memory=0), frames=(FRAME_A,), gc=True, idle=False, ), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=75, memory=0), frames=(FRAME_A,), gc=False, idle=True, ), ] ) out = BytesIO() compress(src, out) samples = [e for e in read_events(out) if isinstance(e, AustinSample)] assert len(samples) == 3 by_flags = {(s.gc, s.idle): s for s in samples} assert by_flags[(False, False)].metrics.time == 100 assert by_flags[(True, False)].metrics.time == 50 assert by_flags[(False, True)].metrics.time == 75 def test_compress_keeps_threads_separate(): src = make_mojo( [ AustinMetadata("mode", "wall"), AustinSample( pid=1, iid=0, thread="T1", metrics=AustinMetrics(time=100), frames=(FRAME_A,), gc=None, idle=None, ), AustinSample( pid=1, iid=0, thread="T2", metrics=AustinMetrics(time=200), frames=(FRAME_A,), gc=None, idle=None, ), ] ) out = BytesIO() compress(src, out) samples = [e for e in read_events(out) if isinstance(e, AustinSample)] assert len(samples) == 2 def test_compress_main(datapath: Path, tmp_path: Path): output = tmp_path / "compressed.mojo" with patch("sys.argv", ["mojo-compress", str(datapath / "test.mojo"), str(output)]): main() assert output.exists() assert output.stat().st_size > 0 def test_compress_main_inplace(datapath: Path, tmp_path: Path): import shutil copy = tmp_path / "test.mojo" shutil.copy(datapath / "test.mojo", copy) original_size = copy.stat().st_size with patch("sys.argv", ["mojo-compress", str(copy)]): main() assert copy.stat().st_size < original_size def test_compress_main_missing_file(tmp_path: Path): missing = tmp_path / "nonexistent.mojo" output = tmp_path / "out.mojo" with patch("sys.argv", ["mojo-compress", str(missing), str(output)]): with pytest.raises(SystemExit) as exc_info: main() assert exc_info.value.code == 1 austin_python-2.6.0/test/format/test_open_profile.py0000644000000000000000000000432513615410400017710 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2026 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from pathlib import Path import time import pytest from austin.events import AustinSample from austin.format import file_progress from austin.format import open_profile from austin.format.collapsed_stack import AustinFileReader from austin.format.mojo import MojoStreamReader @pytest.mark.parametrize( "name,reader", [("test.mojo", MojoStreamReader), ("test.austin", AustinFileReader)] ) def test_open_profile_detects_format(datapath: Path, name, reader): with open_profile(datapath / name) as events: assert isinstance(events, reader) assert any(isinstance(e, AustinSample) for e in events) @pytest.mark.parametrize("name", ["test.mojo", "test.austin"]) def test_open_profile_progress(datapath: Path, name): fractions: list[float] = [] with open_profile(datapath / name, fractions.append) as events: for _ in events: pass assert fractions[-1] == 1.0 assert fractions == sorted(fractions) def test_file_progress_interval(tmp_path: Path): path = tmp_path / "data" path.write_bytes(b"x" * 100) fractions: list[float] = [] with path.open("rb") as f, file_progress(f, fractions.append, interval=0.01): f.raw.read(50) time.sleep(0.1) assert 0.5 in fractions and fractions[-1] == 1.0 austin_python-2.6.0/test/format/test_pprof.py0000644000000000000000000000614213615410400016354 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import io from pathlib import Path import sys from austin.events import AustinMetadata from austin.events import AustinSample from austin.format import open_profile from austin.format.collapsed_stack import AustinFileReader from austin.format.pprof import PProf from austin.format.pprof.__main__ import main from austin.format.pprof.profile import Sample def test_pprof(datapath: Path): prof = None with AustinFileReader((datapath / "austin.out").open()) as austin: for e in austin: # We need to determine the mode before we can start adding samples # to the pprof if isinstance(e, AustinMetadata) and e.name == "mode": prof = PProf(e.value) break else: raise RuntimeError("No mode metadata found in Austin file") for e in austin: if not isinstance(e, AustinSample): continue prof.add_sample(e) bstream = io.BytesIO() prof.dump(bstream) with open(datapath / "austin.pprof", "rb") as pprof: assert pprof.read() == bstream.getvalue() def test_pprof_negative_varint(): # Negative int64 values are encoded as 10-byte two's complement varints assert Sample(value=[-1]).SerializeToString() == b"\x12\x0a" + b"\xff" * 9 + b"\x01" def test_pprof_main_mojo(datapath: Path, tmp_path: Path, monkeypatch): # Austin 4 emits MOJO by default, so the converter must accept it output = tmp_path / "test.pprof" monkeypatch.setattr( sys, "argv", ["austin2pprof", str(datapath / "test.mojo"), str(output)] ) main() # Converting the same profile through the collapsed stack format must give # the same result. with open_profile(datapath / "test.mojo") as events: prof = None for e in events: if isinstance(e, AustinMetadata) and e.name == "mode": prof = PProf(e.value) elif isinstance(e, AustinSample): assert prof is not None prof.add_sample(e) assert prof is not None bstream = io.BytesIO() prof.dump(bstream) assert output.read_bytes() == bstream.getvalue() austin_python-2.6.0/test/format/test_speedscope.py0000644000000000000000000002361413615410400017363 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import io from dataclasses import fields import json from pathlib import Path import sys import pytest from austin.events import AustinMetadata from austin.events import AustinSample from austin.format.collapsed_stack import AustinFileReader from austin.format.collapsed_stack import parse_collapsed_stack from austin.format.speedscope import Speedscope from austin.format.speedscope import SpeedscopeFrame from austin.format.speedscope import SpeedscopeProfile from austin.format.speedscope import main _SPEEDSCOPE_FILE_FIELDS = ("$schema", "shared", "profiles", "name", "exporter") _SPEEDSCOPE_SCHEMA_URL = "https://www.speedscope.app/file-format-schema.json" _SPEEDSCOPE_FRAME_FIELDS = tuple([field.name for field in fields(SpeedscopeFrame)]) _SPEEDSCOPE_PROFILE_FIELDS = tuple([field.name for field in fields(SpeedscopeProfile)]) def test_speedscope_full_metrics_idle(): speedscope = Speedscope("austin_full_metrics", "full") # The format for each line of this array can be found in # austin.stats.Sample.parse. for sample in [ "P42;T123;foo_module.py:foo:10 10,1,-30", "P42;T123;foo_module.py:foo:10 10,1,20", ]: speedscope.add_sample(parse_collapsed_stack(sample)) speedscope_data = speedscope.asdict() for file_field in _SPEEDSCOPE_FILE_FIELDS: assert file_field in speedscope_data assert speedscope_data["$schema"] == _SPEEDSCOPE_SCHEMA_URL assert speedscope_data["name"] == "austin_full_metrics" assert "Austin2Speedscope Converter" in speedscope_data["exporter"] sframe_list = speedscope_data["shared"]["frames"] assert len(sframe_list) == 1 for sframe in sframe_list: for field in _SPEEDSCOPE_FRAME_FIELDS: assert field in sframe assert sframe_list[0]["name"] == "foo" assert sframe_list[0]["file"] == "foo_module.py" assert sframe_list[0]["line"] == 10 sprofile_list = speedscope_data["profiles"] assert len(sprofile_list) == 3 for sprofile in sprofile_list: for field in _SPEEDSCOPE_PROFILE_FIELDS: assert field in sprofile assert sprofile["type"] == "sampled" assert sprofile["startValue"] == 0 # The sort in SpeedscopeProfile.asdict() returns profiles in insertion # order because the keys for all profiles are the same: "42:123", # which refers to the process ID and thread ID, respectively. The # part of each line that controls insertion order in this particular # data set is the triple of numbers at the end of each line, which # is passed to austin.stats.Metric.parse. For consistency, # the entries of this triple will be referred to positionally using # Python indexing conventions. # # Data from this triple is passed into a four element list of # metrics as follows: # # metric[0] is CPU time; it is zero if triple[1] is nonzero, otherwise # it equals triple[0] # # metric[1] is wall clock time; it equals triple[0] # # metric[2] is memory allocation in bytes; it equals triple[2] if # triple[2] > 0, otherwise it equals zero # # matric[3] is memory deallocation in bytes; it equals -triple[2] # if triple[2] < 0, otherwise it equals 0. # # Insertions into weight arrays are attempted in the following # order: (CPU time, wall clock time, memory allocation, memory # deallocation). Insertion logic can be found in # austin.format.Speedscope.add_samples and # austin.format.Speedscope.get_profile. # # If the value of a particular metric is zero, then nothing is inserted. # # Consequently, the insertion order is as follows: wall clock # time, deallocation, allocation. Weight information is never # inserted into the CPU time profile weight arrays in this # test. Weight information is, however, inserted into the CPU time # profile weight array in the other test in this file. assert sprofile_list[0]["name"] == "Wall time profile for 42:123" assert sprofile_list[0]["endValue"] == 20 assert sprofile_list[0]["unit"] == "microseconds" assert len(sprofile_list[0]["samples"]) == 2 assert sprofile_list[0]["samples"] == [[0], [0]] assert len(sprofile_list[0]["weights"]) == 2 assert sprofile_list[0]["weights"] == [10, 10] assert sprofile_list[1]["name"] == "Memory deallocation profile for 42:123" assert sprofile_list[1]["endValue"] == 30 assert sprofile_list[1]["unit"] == "bytes" assert len(sprofile_list[1]["samples"]) == 1 assert sprofile_list[1]["samples"] == [[0]] assert len(sprofile_list[1]["weights"]) == 1 assert sprofile_list[1]["weights"] == [30] assert sprofile_list[2]["name"] == "Memory allocation profile for 42:123" assert sprofile_list[2]["endValue"] == 20 assert sprofile_list[2]["unit"] == "bytes" assert len(sprofile_list[2]["samples"]) == 1 assert sprofile_list[2]["samples"] == [[0]] assert len(sprofile_list[2]["weights"]) == 1 assert sprofile_list[2]["weights"] == [20] def test_speedscope_full_metrics(): speedscope = Speedscope("austin_full_metrics", "full") for sample in [ "P42;T123;foo_module.py:foo:10 10,0,-30", "P42;T123;foo_module.py:foo:10 10,1,20", ]: speedscope.add_sample(parse_collapsed_stack(sample)) speedscope_data = speedscope.asdict() for file_field in _SPEEDSCOPE_FILE_FIELDS: assert file_field in speedscope_data assert speedscope_data["$schema"] == _SPEEDSCOPE_SCHEMA_URL assert speedscope_data["name"] == "austin_full_metrics" assert "Austin2Speedscope Converter" in speedscope_data["exporter"] sframe_list = speedscope_data["shared"]["frames"] assert len(sframe_list) == 1 for sframe in sframe_list: for field in _SPEEDSCOPE_FRAME_FIELDS: assert field in sframe assert sframe_list[0]["name"] == "foo" assert sframe_list[0]["file"] == "foo_module.py" assert sframe_list[0]["line"] == 10 sprofile_list = speedscope_data["profiles"] assert len(sprofile_list) == 4 for sprofile in sprofile_list: for field in _SPEEDSCOPE_PROFILE_FIELDS: assert field in sprofile assert sprofile["type"] == "sampled" # See the comments in the test above for a discussion of why # Speedscope profiles appear in the order tested below. assert sprofile_list[0]["name"] == "CPU time profile for 42:123" assert sprofile_list[0]["endValue"] == 10 assert sprofile_list[0]["unit"] == "microseconds" assert len(sprofile_list[0]["samples"]) == 1 assert sprofile_list[0]["samples"] == [[0]] assert len(sprofile_list[0]["weights"]) == 1 assert sprofile_list[0]["weights"] == [10] assert sprofile_list[1]["name"] == "Wall time profile for 42:123" assert sprofile_list[1]["endValue"] == 20 assert sprofile_list[1]["unit"] == "microseconds" assert len(sprofile_list[1]["samples"]) == 2 assert sprofile_list[1]["samples"] == [[0], [0]] assert len(sprofile_list[1]["weights"]) == 2 assert sprofile_list[1]["weights"] == [10, 10] assert sprofile_list[2]["name"] == "Memory deallocation profile for 42:123" assert sprofile_list[2]["endValue"] == 30 assert sprofile_list[2]["unit"] == "bytes" assert len(sprofile_list[2]["samples"]) == 1 assert sprofile_list[2]["samples"] == [[0]] assert len(sprofile_list[2]["weights"]) == 1 assert sprofile_list[2]["weights"] == [30] assert sprofile_list[3]["name"] == "Memory allocation profile for 42:123" assert sprofile_list[3]["endValue"] == 20 assert sprofile_list[3]["unit"] == "bytes" assert len(sprofile_list[3]["samples"]) == 1 assert sprofile_list[3]["samples"] == [[0]] assert len(sprofile_list[3]["weights"]) == 1 assert sprofile_list[3]["weights"] == [20] def test_speedscope_wall_metrics_only(datapath: Path): speedscope = None with AustinFileReader((datapath / "austin.out").open()) as austin: for e in austin: if isinstance(e, AustinMetadata) and e.name == "mode": speedscope = Speedscope("austin.out", e.value, indent=2) break else: raise RuntimeError("No mode metadata found in Austin file") for e in austin: if not isinstance(e, AustinSample): continue speedscope.add_sample(e) text_stream = io.StringIO() speedscope.dump(text_stream) with open(datapath / "austin.json", "r") as sprof: assert text_stream.getvalue() == sprof.read() @pytest.mark.parametrize("name", ["test.mojo", "test.austin"]) def test_speedscope_main(datapath: Path, tmp_path: Path, monkeypatch, name): # Austin 4 emits MOJO by default, so the converter must accept both formats output = tmp_path / "test.json" monkeypatch.setattr( sys, "argv", ["austin2speedscope", str(datapath / name), str(output)] ) main() data = json.loads(output.read_text()) assert data["$schema"] == _SPEEDSCOPE_SCHEMA_URL assert data["shared"]["frames"] assert all(p["samples"] for p in data["profiles"]) austin_python-2.6.0/test/stats/test_austin_file_reader.py0000644000000000000000000000102313615410400020711 0ustar00from pathlib import Path from austin.events import AustinSample from austin.format.collapsed_stack import AustinFileReader def test_austin_file_reader(datapath: Path) -> None: with AustinFileReader((datapath / "austin.out").open()) as fr: assert ( sum(bool(sample) for sample in fr if isinstance(sample, AustinSample)) == 73 ) assert fr.metadata == { "austin": "3.0.0", "interval": "10000", "mode": "wall", "duration": "383010", } austin_python-2.6.0/test/stats/test_austin_stats.py0000644000000000000000000003467313615410400017627 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import io from copy import deepcopy from austin.events import AustinFrame from austin.events import AustinMetadata from austin.events import AustinMetrics from austin.events import AustinSample from austin.format.collapsed_stack import AustinFileReader from austin.format.collapsed_stack import parse_collapsed_stack from austin.stats import AustinStats from austin.stats import AustinStatsType from austin.stats import FrameStats from austin.stats import ProcessStats from austin.stats import ThreadInfo from austin.stats import ThreadStats DUMP_LOAD_SAMPLES = """# mode: wall {}P42;T0x7f45645646;foo_module.py:foo:10 300 P42;T0x7f45645646;foo_module.py:foo:10;bar_sample.py:bar:20 1000 """ def test_austin_stats_single_process(): stats = AustinStats(stats_type=AustinStatsType.WALL) stats.update(parse_collapsed_stack("P42;T0x7f45645646;foo_module.py:foo:10 152")) assert stats == AustinStats( stats_type=AustinStatsType.WALL, processes={ 42: ProcessStats( pid=42, threads={ ThreadInfo("0x7f45645646", 0): ThreadStats( label=ThreadInfo("0x7f45645646", 0), own=0, total=152, samples=1, children={ AustinFrame( function="foo", filename="foo_module.py", line=10 ): FrameStats( label=AustinFrame( function="foo", filename="foo_module.py", line=10 ), own=152, total=152, samples=1, ) }, ) }, ) }, ) stats.update(parse_collapsed_stack("P42;T0x7f45645646 148")) assert stats == AustinStats( stats_type=AustinStatsType.WALL, processes={ 42: ProcessStats( pid=42, threads={ ThreadInfo("0x7f45645646", 0): ThreadStats( label=ThreadInfo("0x7f45645646", 0), total=300, samples=2, own=148, children={ AustinFrame( function="foo", filename="foo_module.py", line=10 ): FrameStats( label=AustinFrame( function="foo", filename="foo_module.py", line=10 ), own=152, total=152, samples=1, ) }, ) }, ) }, ) stats.update(parse_collapsed_stack("P42;T0x7f45645646;foo_module.py:foo:10 100")) assert stats == AustinStats( stats_type=AustinStatsType.WALL, processes={ 42: ProcessStats( pid=42, threads={ ThreadInfo("0x7f45645646", 0): ThreadStats( label=ThreadInfo("0x7f45645646", 0), total=400, samples=3, own=148, children={ AustinFrame( function="foo", filename="foo_module.py", line=10 ): FrameStats( label=AustinFrame( function="foo", filename="foo_module.py", line=10 ), own=252, total=252, samples=2, ) }, ) }, ) }, ) stats.update(parse_collapsed_stack("P42;T0x7f45645646;foo_module.py:bar:35 400")) assert stats == AustinStats( stats_type=AustinStatsType.WALL, processes={ 42: ProcessStats( pid=42, threads={ ThreadInfo("0x7f45645646", 0): ThreadStats( label=ThreadInfo("0x7f45645646", 0), total=800, samples=4, own=148, children={ AustinFrame( function="foo", filename="foo_module.py", line=10 ): FrameStats( label=AustinFrame( function="foo", filename="foo_module.py", line=10 ), own=252, total=252, samples=2, ), AustinFrame( function="bar", filename="foo_module.py", line=35 ): FrameStats( label=AustinFrame( function="bar", filename="foo_module.py", line=35 ), own=400, total=400, samples=1, ), }, ) }, ) }, ) stats.update(parse_collapsed_stack("P42;T0x7f45645664;foo_module.py:foo:10 152")) assert stats == AustinStats( stats_type=AustinStatsType.WALL, processes={ 42: ProcessStats( pid=42, threads={ ThreadInfo("0x7f45645664", 0): ThreadStats( label=ThreadInfo("0x7f45645664", 0), own=0, total=152, samples=1, children={ AustinFrame( function="foo", filename="foo_module.py", line=10 ): FrameStats( label=AustinFrame( function="foo", filename="foo_module.py", line=10 ), own=152, total=152, samples=1, ) }, ), ThreadInfo("0x7f45645646", 0): ThreadStats( label=ThreadInfo("0x7f45645646", 0), total=800, samples=4, own=148, children={ AustinFrame( function="foo", filename="foo_module.py", line=10 ): FrameStats( label=AustinFrame( function="foo", filename="foo_module.py", line=10 ), own=252, total=252, samples=2, ), AustinFrame( function="bar", filename="foo_module.py", line=35 ): FrameStats( label=AustinFrame( function="bar", filename="foo_module.py", line=35 ), own=400, total=400, samples=1, ), }, ), }, ) }, ) def test_flatten(): stats = AustinStats(AustinStatsType.WALL) EMPTY_SAMPLE = "P42;T0x7f45645646 1" FOO_SAMPLE = "P42;T0x7f45645646;foo_module.py:foo:10 150" BAR_SAMPLE = "P42;T0x7f45645646;foo_module.py:foo:10;bar_sample.py:bar:20 1000" stats.update(parse_collapsed_stack(FOO_SAMPLE)) stats.update(parse_collapsed_stack(FOO_SAMPLE)) stats.update(parse_collapsed_stack(BAR_SAMPLE)) stats.update(parse_collapsed_stack(EMPTY_SAMPLE)) events = list(stats.flatten()) assert events == [ AustinSample( pid=42, iid=0, thread="0x7f45645646", metrics=AustinMetrics(time=1, memory=None), frames=(), gc=None, idle=None, ), AustinSample( pid=42, iid=0, thread="0x7f45645646", metrics=AustinMetrics(time=300, memory=None), frames=( AustinFrame( filename="foo_module.py", function="foo", line=10, line_end=None, column=None, column_end=None, ), ), gc=None, idle=None, ), AustinSample( pid=42, iid=0, thread="0x7f45645646", metrics=AustinMetrics(time=1000, memory=None), frames=( AustinFrame( filename="foo_module.py", function="foo", line=10, line_end=None, column=None, column_end=None, ), AustinFrame( filename="bar_sample.py", function="bar", line=20, line_end=None, column=None, column_end=None, ), ), gc=None, idle=None, ), ] def test_load(): buffer = io.StringIO(DUMP_LOAD_SAMPLES.format("")) stats = AustinStats.load(AustinFileReader(buffer)) assert stats[AustinStatsType.WALL] == AustinStats( stats_type=AustinStatsType.WALL, processes={ 42: ProcessStats( pid=42, threads={ ThreadInfo("0x7f45645646", 0): ThreadStats( label=ThreadInfo("0x7f45645646", 0), own=0, total=1300, samples=2, children={ AustinFrame( function="foo", filename="foo_module.py", line=10 ): FrameStats( label=AustinFrame( function="foo", filename="foo_module.py", line=10 ), own=300, total=1300, samples=2, children={ AustinFrame( function="bar", filename="bar_sample.py", line=20, ): FrameStats( label=AustinFrame( function="bar", filename="bar_sample.py", line=20, ), own=1000, total=1000, samples=1, children={}, height=1, ) }, height=0, ) }, ) }, ) }, ) def test_deepcopy(): stats = AustinStats(stats_type=AustinStatsType.WALL) stats.update(parse_collapsed_stack("P42;T0x7f45645646;foo_module.py:foo:10 152")) cloned_stats = deepcopy(stats) assert cloned_stats == stats assert cloned_stats is not stats def test_load_full_mode_cpu_excludes_idle(): frames = (AustinFrame("foo_module.py", "foo", 10),) stats = AustinStats.load( iter( [ AustinMetadata("mode", "full"), AustinSample( pid=42, iid=0, thread="0x7f45645646", metrics=AustinMetrics(time=100, memory=10), frames=frames, idle=False, ), AustinSample( pid=42, iid=0, thread="0x7f45645646", metrics=AustinMetrics(time=900, memory=-5), frames=frames, idle=True, ), ] ) ) def total(stats_type: AustinStatsType) -> int: thread_info = ThreadInfo("0x7f45645646", 0) return stats[stats_type].processes[42].threads[thread_info].total assert total(AustinStatsType.CPU) == 100 assert total(AustinStatsType.WALL) == 1000 assert total(AustinStatsType.MEMORY_ALLOC) == 10 assert total(AustinStatsType.MEMORY_DEALLOC) == 5 austin_python-2.6.0/test/stats/test_hierarchical_stats.py0000644000000000000000000001261413615410400020731 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . from copy import deepcopy from austin.events import AustinFrame from austin.stats import FrameStats def test_frame_stats_add_disjoint(): ref_frame_stats = FrameStats( label=AustinFrame(function="foo", filename="foo_module.py", line=10), own=10, total=20, height=0, children={ AustinFrame( function="foobar", filename="foo_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="foo_module.py", line=5), own=10, total=10, height=1, ) }, ) frame_stats = deepcopy(ref_frame_stats) << FrameStats( label=AustinFrame(function="bar", filename="bar_module.py", line=10), own=10, total=20, height=0, children={ AustinFrame( function="foobar", filename="bar_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="bar_module.py", line=5), own=10, total=10, height=1, ) }, ) assert frame_stats == ref_frame_stats def test_frame_stats_add_matching(): frame_stats = FrameStats( label=AustinFrame(function="foo", filename="foo_module.py", line=10), own=10, total=20, height=0, children={ AustinFrame( function="foobar", filename="foo_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="foo_module.py", line=5), own=10, total=10, height=1, ) }, ) << FrameStats( label=AustinFrame(function="foo", filename="foo_module.py", line=10), own=0, total=15, height=0, children={ AustinFrame( function="foobar", filename="foo_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="foo_module.py", line=5), own=15, total=15, height=1, ) }, ) assert frame_stats == FrameStats( label=AustinFrame(function="foo", filename="foo_module.py", line=10), own=10, total=35, height=0, children={ AustinFrame( function="foobar", filename="foo_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="foo_module.py", line=5), own=25, total=25, height=1, ) }, ) def test_frame_stats_add_partial_matching(): frame_stats = FrameStats( label=AustinFrame(function="foo", filename="foo_module.py", line=10), own=10, total=20, height=0, children={ AustinFrame( function="foobar", filename="foo_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="foo_module.py", line=5), own=10, total=10, height=1, ) }, ) << FrameStats( label=AustinFrame(function="foo", filename="foo_module.py", line=10), own=0, total=15, height=0, children={ AustinFrame( function="foobar", filename="bar_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="bar_module.py", line=5), own=15, total=15, height=1, ) }, ) assert frame_stats == FrameStats( label=AustinFrame(function="foo", filename="foo_module.py", line=10), own=10, total=35, height=0, children={ AustinFrame( function="foobar", filename="foo_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="foo_module.py", line=5), own=10, total=10, height=1, ), AustinFrame( function="foobar", filename="bar_module.py", line=5 ): FrameStats( label=AustinFrame(function="foobar", filename="bar_module.py", line=5), own=15, total=15, height=1, ), }, ) austin_python-2.6.0/test/tools/test_diff.py0000644000000000000000000000047313615410400016007 0ustar00import pytest from austin.tools.diff import diff @pytest.mark.skip("Needs fixing") def test_diff(): with ( open("test/data/diff_a.austin") as a, open("test/data/diff_b.austin") as b, open("test/data/diff_a-b.austin") as d, ): assert diff(a, b).strip() == d.read().strip() austin_python-2.6.0/test/tools/test_resolve.py0000644000000000000000000000311213615410400016547 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2022 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . import sys import tempfile from pathlib import Path import pytest from austin.tools.resolve import main HERE = Path(__file__).parent DATA = HERE.parent / "data" @pytest.mark.xfail(reason="Dependant on binaries being available") @pytest.mark.skipif(sys.platform != "linux", reason="Only supported on Linux") def test_resolve_snapshot(): input = DATA / "austinp.mojo" output = Path(tempfile.NamedTemporaryFile().name).with_suffix(".resolved.mojo") expected = DATA / "austinp.resolved.mojo" sys.argv = ["austinp-resolve", str(input), str(output)] main() assert expected.read_bytes() == output.read_bytes() austin_python-2.6.0/.gitignore0000644000000000000000000000402013615410400013327 0ustar00# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ cover/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder .pybuilder/ target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv # For a library or package, you might want to ignore these files since the code is # intended to run in multiple environments; otherwise, check them in: # .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ # pytype static type analyzer .pytype/ # Cython debug symbols cython_debug/ # Protobuf compiler protoc* austin_python-2.6.0/AUTHORS0000644000000000000000000000005513615410400012413 0ustar00Gabriele N. 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Termination. You may not propagate or modify a covered work except as expressly provided under this License. Any attempt otherwise to propagate or modify it is void, and will automatically terminate your rights under this License (including any patent licenses granted under the third paragraph of section 11). However, if you cease all violation of this License, then your license from a particular copyright holder is reinstated (a) provisionally, unless and until the copyright holder explicitly and finally terminates your license, and (b) permanently, if the copyright holder fails to notify you of the violation by some reasonable means prior to 60 days after the cessation. Moreover, your license from a particular copyright holder is reinstated permanently if the copyright holder notifies you of the violation by some reasonable means, this is the first time you have received notice of violation of this License (for any work) from that copyright holder, and you cure the violation prior to 30 days after your receipt of the notice. Termination of your rights under this section does not terminate the licenses of parties who have received copies or rights from you under this License. If your rights have been terminated and not permanently reinstated, you do not qualify to receive new licenses for the same material under section 10. 9. Acceptance Not Required for Having Copies. You are not required to accept this License in order to receive or run a copy of the Program. Ancillary propagation of a covered work occurring solely as a consequence of using peer-to-peer transmission to receive a copy likewise does not require acceptance. However, nothing other than this License grants you permission to propagate or modify any covered work. These actions infringe copyright if you do not accept this License. Therefore, by modifying or propagating a covered work, you indicate your acceptance of this License to do so. 10. Automatic Licensing of Downstream Recipients. Each time you convey a covered work, the recipient automatically receives a license from the original licensors, to run, modify and propagate that work, subject to this License. You are not responsible for enforcing compliance by third parties with this License. An "entity transaction" is a transaction transferring control of an organization, or substantially all assets of one, or subdividing an organization, or merging organizations. If propagation of a covered work results from an entity transaction, each party to that transaction who receives a copy of the work also receives whatever licenses to the work the party's predecessor in interest had or could give under the previous paragraph, plus a right to possession of the Corresponding Source of the work from the predecessor in interest, if the predecessor has it or can get it with reasonable efforts. You may not impose any further restrictions on the exercise of the rights granted or affirmed under this License. For example, you may not impose a license fee, royalty, or other charge for exercise of rights granted under this License, and you may not initiate litigation (including a cross-claim or counterclaim in a lawsuit) alleging that any patent claim is infringed by making, using, selling, offering for sale, or importing the Program or any portion of it. 11. Patents. A "contributor" is a copyright holder who authorizes use under this License of the Program or a work on which the Program is based. The work thus licensed is called the contributor's "contributor version". A contributor's "essential patent claims" are all patent claims owned or controlled by the contributor, whether already acquired or hereafter acquired, that would be infringed by some manner, permitted by this License, of making, using, or selling its contributor version, but do not include claims that would be infringed only as a consequence of further modification of the contributor version. For purposes of this definition, "control" includes the right to grant patent sublicenses in a manner consistent with the requirements of this License. Each contributor grants you a non-exclusive, worldwide, royalty-free patent license under the contributor's essential patent claims, to make, use, sell, offer for sale, import and otherwise run, modify and propagate the contents of its contributor version. In the following three paragraphs, a "patent license" is any express agreement or commitment, however denominated, not to enforce a patent (such as an express permission to practice a patent or covenant not to sue for patent infringement). To "grant" such a patent license to a party means to make such an agreement or commitment not to enforce a patent against the party. If you convey a covered work, knowingly relying on a patent license, and the Corresponding Source of the work is not available for anyone to copy, free of charge and under the terms of this License, through a publicly available network server or other readily accessible means, then you must either (1) cause the Corresponding Source to be so available, or (2) arrange to deprive yourself of the benefit of the patent license for this particular work, or (3) arrange, in a manner consistent with the requirements of this License, to extend the patent license to downstream recipients. "Knowingly relying" means you have actual knowledge that, but for the patent license, your conveying the covered work in a country, or your recipient's use of the covered work in a country, would infringe one or more identifiable patents in that country that you have reason to believe are valid. If, pursuant to or in connection with a single transaction or arrangement, you convey, or propagate by procuring conveyance of, a covered work, and grant a patent license to some of the parties receiving the covered work authorizing them to use, propagate, modify or convey a specific copy of the covered work, then the patent license you grant is automatically extended to all recipients of the covered work and works based on it. A patent license is "discriminatory" if it does not include within the scope of its coverage, prohibits the exercise of, or is conditioned on the non-exercise of one or more of the rights that are specifically granted under this License. You may not convey a covered work if you are a party to an arrangement with a third party that is in the business of distributing software, under which you make payment to the third party based on the extent of your activity of conveying the work, and under which the third party grants, to any of the parties who would receive the covered work from you, a discriminatory patent license (a) in connection with copies of the covered work conveyed by you (or copies made from those copies), or (b) primarily for and in connection with specific products or compilations that contain the covered work, unless you entered into that arrangement, or that patent license was granted, prior to 28 March 2007. Nothing in this License shall be construed as excluding or limiting any implied license or other defenses to infringement that may otherwise be available to you under applicable patent law. 12. No Surrender of Others' Freedom. If conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot convey a covered work so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not convey it at all. For example, if you agree to terms that obligate you to collect a royalty for further conveying from those to whom you convey the Program, the only way you could satisfy both those terms and this License would be to refrain entirely from conveying the Program. 13. Use with the GNU Affero General Public License. Notwithstanding any other provision of this License, you have permission to link or combine any covered work with a work licensed under version 3 of the GNU Affero General Public License into a single combined work, and to convey the resulting work. The terms of this License will continue to apply to the part which is the covered work, but the special requirements of the GNU Affero General Public License, section 13, concerning interaction through a network will apply to the combination as such. 14. Revised Versions of this License. The Free Software Foundation may publish revised and/or new versions of the GNU General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies that a certain numbered version of the GNU General Public License "or any later version" applies to it, you have the option of following the terms and conditions either of that numbered version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of the GNU General Public License, you may choose any version ever published by the Free Software Foundation. If the Program specifies that a proxy can decide which future versions of the GNU General Public License can be used, that proxy's public statement of acceptance of a version permanently authorizes you to choose that version for the Program. Later license versions may give you additional or different permissions. However, no additional obligations are imposed on any author or copyright holder as a result of your choosing to follow a later version. 15. Disclaimer of Warranty. THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 16. Limitation of Liability. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 17. Interpretation of Sections 15 and 16. If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . Also add information on how to contact you by electronic and paper mail. If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode: Copyright (C) This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an "about box". You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read . austin_python-2.6.0/LICENSE.md0000644000000000000000000010417113615410400012753 0ustar00# GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 [Free Software Foundation, Inc.](http://fsf.org/) Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. ## Preamble The GNU General Public License is a free, copyleft license for software and other kinds of works. The licenses for most software and other practical works are designed to take away your freedom to share and change the works. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change all versions of a program--to make sure it remains free software for all its users. We, the Free Software Foundation, use the GNU General Public License for most of our software; it applies also to any other work released this way by its authors. You can apply it to your programs, too. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for them if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs, and that you know you can do these things. To protect your rights, we need to prevent others from denying you these rights or asking you to surrender the rights. Therefore, you have certain responsibilities if you distribute copies of the software, or if you modify it: responsibilities to respect the freedom of others. For example, if you distribute copies of such a program, whether gratis or for a fee, you must pass on to the recipients the same freedoms that you received. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. Developers that use the GNU GPL protect your rights with two steps: 1. assert copyright on the software, and 2. offer you this License giving you legal permission to copy, distribute and/or modify it. For the developers' and authors' protection, the GPL clearly explains that there is no warranty for this free software. For both users' and authors' sake, the GPL requires that modified versions be marked as changed, so that their problems will not be attributed erroneously to authors of previous versions. Some devices are designed to deny users access to install or run modified versions of the software inside them, although the manufacturer can do so. This is fundamentally incompatible with the aim of protecting users' freedom to change the software. The systematic pattern of such abuse occurs in the area of products for individuals to use, which is precisely where it is most unacceptable. Therefore, we have designed this version of the GPL to prohibit the practice for those products. If such problems arise substantially in other domains, we stand ready to extend this provision to those domains in future versions of the GPL, as needed to protect the freedom of users. Finally, every program is threatened constantly by software patents. States should not allow patents to restrict development and use of software on general-purpose computers, but in those that do, we wish to avoid the special danger that patents applied to a free program could make it effectively proprietary. To prevent this, the GPL assures that patents cannot be used to render the program non-free. The precise terms and conditions for copying, distribution and modification follow. ## TERMS AND CONDITIONS ### 0. Definitions. *This License* refers to version 3 of the GNU General Public License. *Copyright* also means copyright-like laws that apply to other kinds of works, such as semiconductor masks. *The Program* refers to any copyrightable work licensed under this License. Each licensee is addressed as *you*. *Licensees* and *recipients* may be individuals or organizations. To *modify* a work means to copy from or adapt all or part of the work in a fashion requiring copyright permission, other than the making of an exact copy. The resulting work is called a *modified version* of the earlier work or a work *based on* the earlier work. A *covered work* means either the unmodified Program or a work based on the Program. To *propagate* a work means to do anything with it that, without permission, would make you directly or secondarily liable for infringement under applicable copyright law, except executing it on a computer or modifying a private copy. Propagation includes copying, distribution (with or without modification), making available to the public, and in some countries other activities as well. To *convey* a work means any kind of propagation that enables other parties to make or receive copies. Mere interaction with a user through a computer network, with no transfer of a copy, is not conveying. An interactive user interface displays *Appropriate Legal Notices* to the extent that it includes a convenient and prominently visible feature that 1. displays an appropriate copyright notice, and 2. tells the user that there is no warranty for the work (except to the extent that warranties are provided), that licensees may convey the work under this License, and how to view a copy of this License. If the interface presents a list of user commands or options, such as a menu, a prominent item in the list meets this criterion. ### 1. Source Code. The *source code* for a work means the preferred form of the work for making modifications to it. *Object code* means any non-source form of a work. A *Standard Interface* means an interface that either is an official standard defined by a recognized standards body, or, in the case of interfaces specified for a particular programming language, one that is widely used among developers working in that language. The *System Libraries* of an executable work include anything, other than the work as a whole, that (a) is included in the normal form of packaging a Major Component, but which is not part of that Major Component, and (b) serves only to enable use of the work with that Major Component, or to implement a Standard Interface for which an implementation is available to the public in source code form. A *Major Component*, in this context, means a major essential component (kernel, window system, and so on) of the specific operating system (if any) on which the executable work runs, or a compiler used to produce the work, or an object code interpreter used to run it. The *Corresponding Source* for a work in object code form means all the source code needed to generate, install, and (for an executable work) run the object code and to modify the work, including scripts to control those activities. However, it does not include the work's System Libraries, or general-purpose tools or generally available free programs which are used unmodified in performing those activities but which are not part of the work. For example, Corresponding Source includes interface definition files associated with source files for the work, and the source code for shared libraries and dynamically linked subprograms that the work is specifically designed to require, such as by intimate data communication or control flow between those subprograms and other parts of the work. The Corresponding Source need not include anything that users can regenerate automatically from other parts of the Corresponding Source. The Corresponding Source for a work in source code form is that same work. ### 2. Basic Permissions. All rights granted under this License are granted for the term of copyright on the Program, and are irrevocable provided the stated conditions are met. This License explicitly affirms your unlimited permission to run the unmodified Program. The output from running a covered work is covered by this License only if the output, given its content, constitutes a covered work. This License acknowledges your rights of fair use or other equivalent, as provided by copyright law. You may make, run and propagate covered works that you do not convey, without conditions so long as your license otherwise remains in force. You may convey covered works to others for the sole purpose of having them make modifications exclusively for you, or provide you with facilities for running those works, provided that you comply with the terms of this License in conveying all material for which you do not control copyright. Those thus making or running the covered works for you must do so exclusively on your behalf, under your direction and control, on terms that prohibit them from making any copies of your copyrighted material outside their relationship with you. Conveying under any other circumstances is permitted solely under the conditions stated below. Sublicensing is not allowed; section 10 makes it unnecessary. ### 3. Protecting Users' Legal Rights From Anti-Circumvention Law. No covered work shall be deemed part of an effective technological measure under any applicable law fulfilling obligations under article 11 of the WIPO copyright treaty adopted on 20 December 1996, or similar laws prohibiting or restricting circumvention of such measures. When you convey a covered work, you waive any legal power to forbid circumvention of technological measures to the extent such circumvention is effected by exercising rights under this License with respect to the covered work, and you disclaim any intention to limit operation or modification of the work as a means of enforcing, against the work's users, your or third parties' legal rights to forbid circumvention of technological measures. ### 4. Conveying Verbatim Copies. You may convey verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice; keep intact all notices stating that this License and any non-permissive terms added in accord with section 7 apply to the code; keep intact all notices of the absence of any warranty; and give all recipients a copy of this License along with the Program. You may charge any price or no price for each copy that you convey, and you may offer support or warranty protection for a fee. ### 5. Conveying Modified Source Versions. You may convey a work based on the Program, or the modifications to produce it from the Program, in the form of source code under the terms of section 4, provided that you also meet all of these conditions: - a) The work must carry prominent notices stating that you modified it, and giving a relevant date. - b) The work must carry prominent notices stating that it is released under this License and any conditions added under section 7. This requirement modifies the requirement in section 4 to *keep intact all notices*. - c) You must license the entire work, as a whole, under this License to anyone who comes into possession of a copy. This License will therefore apply, along with any applicable section 7 additional terms, to the whole of the work, and all its parts, regardless of how they are packaged. This License gives no permission to license the work in any other way, but it does not invalidate such permission if you have separately received it. - d) If the work has interactive user interfaces, each must display Appropriate Legal Notices; however, if the Program has interactive interfaces that do not display Appropriate Legal Notices, your work need not make them do so. A compilation of a covered work with other separate and independent works, which are not by their nature extensions of the covered work, and which are not combined with it such as to form a larger program, in or on a volume of a storage or distribution medium, is called an *aggregate* if the compilation and its resulting copyright are not used to limit the access or legal rights of the compilation's users beyond what the individual works permit. Inclusion of a covered work in an aggregate does not cause this License to apply to the other parts of the aggregate. ### 6. Conveying Non-Source Forms. You may convey a covered work in object code form under the terms of sections 4 and 5, provided that you also convey the machine-readable Corresponding Source under the terms of this License, in one of these ways: - a) Convey the object code in, or embodied in, a physical product (including a physical distribution medium), accompanied by the Corresponding Source fixed on a durable physical medium customarily used for software interchange. - b) Convey the object code in, or embodied in, a physical product (including a physical distribution medium), accompanied by a written offer, valid for at least three years and valid for as long as you offer spare parts or customer support for that product model, to give anyone who possesses the object code either 1. a copy of the Corresponding Source for all the software in the product that is covered by this License, on a durable physical medium customarily used for software interchange, for a price no more than your reasonable cost of physically performing this conveying of source, or 2. access to copy the Corresponding Source from a network server at no charge. - c) Convey individual copies of the object code with a copy of the written offer to provide the Corresponding Source. This alternative is allowed only occasionally and noncommercially, and only if you received the object code with such an offer, in accord with subsection 6b. - d) Convey the object code by offering access from a designated place (gratis or for a charge), and offer equivalent access to the Corresponding Source in the same way through the same place at no further charge. You need not require recipients to copy the Corresponding Source along with the object code. If the place to copy the object code is a network server, the Corresponding Source may be on a different server operated by you or a third party) that supports equivalent copying facilities, provided you maintain clear directions next to the object code saying where to find the Corresponding Source. Regardless of what server hosts the Corresponding Source, you remain obligated to ensure that it is available for as long as needed to satisfy these requirements. - e) Convey the object code using peer-to-peer transmission, provided you inform other peers where the object code and Corresponding Source of the work are being offered to the general public at no charge under subsection 6d. A separable portion of the object code, whose source code is excluded from the Corresponding Source as a System Library, need not be included in conveying the object code work. A *User Product* is either 1. a *consumer product*, which means any tangible personal property which is normally used for personal, family, or household purposes, or 2. anything designed or sold for incorporation into a dwelling. In determining whether a product is a consumer product, doubtful cases shall be resolved in favor of coverage. For a particular product received by a particular user, *normally used* refers to a typical or common use of that class of product, regardless of the status of the particular user or of the way in which the particular user actually uses, or expects or is expected to use, the product. A product is a consumer product regardless of whether the product has substantial commercial, industrial or non-consumer uses, unless such uses represent the only significant mode of use of the product. *Installation Information* for a User Product means any methods, procedures, authorization keys, or other information required to install and execute modified versions of a covered work in that User Product from a modified version of its Corresponding Source. The information must suffice to ensure that the continued functioning of the modified object code is in no case prevented or interfered with solely because modification has been made. If you convey an object code work under this section in, or with, or specifically for use in, a User Product, and the conveying occurs as part of a transaction in which the right of possession and use of the User Product is transferred to the recipient in perpetuity or for a fixed term (regardless of how the transaction is characterized), the Corresponding Source conveyed under this section must be accompanied by the Installation Information. But this requirement does not apply if neither you nor any third party retains the ability to install modified object code on the User Product (for example, the work has been installed in ROM). The requirement to provide Installation Information does not include a requirement to continue to provide support service, warranty, or updates for a work that has been modified or installed by the recipient, or for the User Product in which it has been modified or installed. Access to a network may be denied when the modification itself materially and adversely affects the operation of the network or violates the rules and protocols for communication across the network. Corresponding Source conveyed, and Installation Information provided, in accord with this section must be in a format that is publicly documented (and with an implementation available to the public in source code form), and must require no special password or key for unpacking, reading or copying. ### 7. Additional Terms. *Additional permissions* are terms that supplement the terms of this License by making exceptions from one or more of its conditions. Additional permissions that are applicable to the entire Program shall be treated as though they were included in this License, to the extent that they are valid under applicable law. If additional permissions apply only to part of the Program, that part may be used separately under those permissions, but the entire Program remains governed by this License without regard to the additional permissions. When you convey a copy of a covered work, you may at your option remove any additional permissions from that copy, or from any part of it. (Additional permissions may be written to require their own removal in certain cases when you modify the work.) You may place additional permissions on material, added by you to a covered work, for which you have or can give appropriate copyright permission. Notwithstanding any other provision of this License, for material you add to a covered work, you may (if authorized by the copyright holders of that material) supplement the terms of this License with terms: - a) Disclaiming warranty or limiting liability differently from the terms of sections 15 and 16 of this License; or - b) Requiring preservation of specified reasonable legal notices or author attributions in that material or in the Appropriate Legal Notices displayed by works containing it; or - c) Prohibiting misrepresentation of the origin of that material, or requiring that modified versions of such material be marked in reasonable ways as different from the original version; or - d) Limiting the use for publicity purposes of names of licensors or authors of the material; or - e) Declining to grant rights under trademark law for use of some trade names, trademarks, or service marks; or - f) Requiring indemnification of licensors and authors of that material by anyone who conveys the material (or modified versions of it) with contractual assumptions of liability to the recipient, for any liability that these contractual assumptions directly impose on those licensors and authors. All other non-permissive additional terms are considered *further restrictions* within the meaning of section 10. If the Program as you received it, or any part of it, contains a notice stating that it is governed by this License along with a term that is a further restriction, you may remove that term. If a license document contains a further restriction but permits relicensing or conveying under this License, you may add to a covered work material governed by the terms of that license document, provided that the further restriction does not survive such relicensing or conveying. If you add terms to a covered work in accord with this section, you must place, in the relevant source files, a statement of the additional terms that apply to those files, or a notice indicating where to find the applicable terms. Additional terms, permissive or non-permissive, may be stated in the form of a separately written license, or stated as exceptions; the above requirements apply either way. ### 8. Termination. You may not propagate or modify a covered work except as expressly provided under this License. Any attempt otherwise to propagate or modify it is void, and will automatically terminate your rights under this License (including any patent licenses granted under the third paragraph of section 11). However, if you cease all violation of this License, then your license from a particular copyright holder is reinstated - a) provisionally, unless and until the copyright holder explicitly and finally terminates your license, and - b) permanently, if the copyright holder fails to notify you of the violation by some reasonable means prior to 60 days after the cessation. Moreover, your license from a particular copyright holder is reinstated permanently if the copyright holder notifies you of the violation by some reasonable means, this is the first time you have received notice of violation of this License (for any work) from that copyright holder, and you cure the violation prior to 30 days after your receipt of the notice. Termination of your rights under this section does not terminate the licenses of parties who have received copies or rights from you under this License. If your rights have been terminated and not permanently reinstated, you do not qualify to receive new licenses for the same material under section 10. ### 9. Acceptance Not Required for Having Copies. You are not required to accept this License in order to receive or run a copy of the Program. Ancillary propagation of a covered work occurring solely as a consequence of using peer-to-peer transmission to receive a copy likewise does not require acceptance. However, nothing other than this License grants you permission to propagate or modify any covered work. These actions infringe copyright if you do not accept this License. Therefore, by modifying or propagating a covered work, you indicate your acceptance of this License to do so. ### 10. Automatic Licensing of Downstream Recipients. Each time you convey a covered work, the recipient automatically receives a license from the original licensors, to run, modify and propagate that work, subject to this License. You are not responsible for enforcing compliance by third parties with this License. An *entity transaction* is a transaction transferring control of an organization, or substantially all assets of one, or subdividing an organization, or merging organizations. If propagation of a covered work results from an entity transaction, each party to that transaction who receives a copy of the work also receives whatever licenses to the work the party's predecessor in interest had or could give under the previous paragraph, plus a right to possession of the Corresponding Source of the work from the predecessor in interest, if the predecessor has it or can get it with reasonable efforts. You may not impose any further restrictions on the exercise of the rights granted or affirmed under this License. For example, you may not impose a license fee, royalty, or other charge for exercise of rights granted under this License, and you may not initiate litigation (including a cross-claim or counterclaim in a lawsuit) alleging that any patent claim is infringed by making, using, selling, offering for sale, or importing the Program or any portion of it. ### 11. Patents. A *contributor* is a copyright holder who authorizes use under this License of the Program or a work on which the Program is based. The work thus licensed is called the contributor's *contributor version*. A contributor's *essential patent claims* are all patent claims owned or controlled by the contributor, whether already acquired or hereafter acquired, that would be infringed by some manner, permitted by this License, of making, using, or selling its contributor version, but do not include claims that would be infringed only as a consequence of further modification of the contributor version. For purposes of this definition, *control* includes the right to grant patent sublicenses in a manner consistent with the requirements of this License. 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If, pursuant to or in connection with a single transaction or arrangement, you convey, or propagate by procuring conveyance of, a covered work, and grant a patent license to some of the parties receiving the covered work authorizing them to use, propagate, modify or convey a specific copy of the covered work, then the patent license you grant is automatically extended to all recipients of the covered work and works based on it. A patent license is *discriminatory* if it does not include within the scope of its coverage, prohibits the exercise of, or is conditioned on the non-exercise of one or more of the rights that are specifically granted under this License. You may not convey a covered work if you are a party to an arrangement with a third party that is in the business of distributing software, under which you make payment to the third party based on the extent of your activity of conveying the work, and under which the third party grants, to any of the parties who would receive the covered work from you, a discriminatory patent license - a) in connection with copies of the covered work conveyed by you (or copies made from those copies), or - b) primarily for and in connection with specific products or compilations that contain the covered work, unless you entered into that arrangement, or that patent license was granted, prior to 28 March 2007. Nothing in this License shall be construed as excluding or limiting any implied license or other defenses to infringement that may otherwise be available to you under applicable patent law. ### 12. No Surrender of Others' Freedom. If conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot convey a covered work so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not convey it at all. For example, if you agree to terms that obligate you to collect a royalty for further conveying from those to whom you convey the Program, the only way you could satisfy both those terms and this License would be to refrain entirely from conveying the Program. ### 13. Use with the GNU Affero General Public License. Notwithstanding any other provision of this License, you have permission to link or combine any covered work with a work licensed under version 3 of the GNU Affero General Public License into a single combined work, and to convey the resulting work. The terms of this License will continue to apply to the part which is the covered work, but the special requirements of the GNU Affero General Public License, section 13, concerning interaction through a network will apply to the combination as such. ### 14. Revised Versions of this License. The Free Software Foundation may publish revised and/or new versions of the GNU General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies that a certain numbered version of the GNU General Public License *or any later version* applies to it, you have the option of following the terms and conditions either of that numbered version or of any later version published by the Free Software Foundation. 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Copyright (C) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . Also add information on how to contact you by electronic and paper mail. If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode: Copyright (C) This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w` and `show c` should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an *about box*. You should also get your employer (if you work as a programmer) or school, if any, to sign a *copyright disclaimer* for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see [http://www.gnu.org/licenses/](http://www.gnu.org/licenses/). The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read [http://www.gnu.org/philosophy/why-not-lgpl.html](http://www.gnu.org/philosophy/why-not-lgpl.html). austin_python-2.6.0/README.md0000644000000000000000000001707313615410400012632 0ustar00


Austin

Python wrapper for Austin

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Synopsis • Installation • Usage • Compatibility • Documentation • Contribute

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# Synopsis The `austin-python` package is a Python wrapper around the [Austin] binary that provides convenience classes to quickly develop your statistical profiling tools. Whether your code is thread-based or asynchronous, `austin-python` has you covered. This is, for instance, how you would turn Austin into a Python application: ~~~ python import asyncio import sys from austin.aio import AsyncAustin from austin.format.collapsed_stack import AustinEventCollapsedStackFormatter FORMATTER = AustinEventCollapsedStackFormatter() class CollapsedStackAsyncAustin(AsyncAustin): async def on_sample(self, sample): print(FORMATTER.format(sample)) async def on_metadata(self, metadata): print(FORMATTER.format(metadata)) if sys.platform == "win32": asyncio.set_event_loop(asyncio.ProactorEventLoop()) async def main(): austin = CollapsedStackAsyncAustin() await austin.start(["-i", "10ms", "python", "myscript.py"]) await austin.wait() asyncio.run(main()) ~~~ The `austin-python` package is at the heart of the [Austin TUI](https://github.com/P403n1x87/austin-tui) and the [Austin Web](https://github.com/P403n1x87/austin-web) Python applications. Go check them out if you are looking for full-fledged usage examples. Included with the package come two applications for the conversion of Austin collected output, which is in the form of [collapsed stacks](https://github.com/brendangregg/FlameGraph), to either the [Speedscope](https://speedscope.app/) JSON format or the [Google pprof format](https://github.com/google/pprof). Note, however, that the Speedscope web application supports Austin native format directly. # Installation This package can be installed from PyPI with ~~~ bash pip install --user austin-python --upgrade ~~~ Please note that `austin-python` requires the [Austin] binary. The default lookup locations are, in order, - current working directory; - the `AUSTINPATH` environment variable which gives the path to the folder that contains the Austin binary; - the `.austinrc` TOML configuration file in the user's home folder, e.g. `~/.austinrc` on Linux (see below for a sample `.austinrc` file); - the `PATH` environment variable. A sample `.austinrc` file would look like so ~~~ toml binary = "/path/to/austin" ~~~ # Usage A simple example of an echo application was shown above. Other examples using, e.g., threads, can be found in the official documentation. You can also browse through the code of the [Austin TUI](https://github.com/P403n1x87/austin-tui) and the [Austin Web](https://github.com/P403n1x87/austin-web) Python applications to see how they leverage `austin-python`. ## Format conversion As it was mentioned before, this package also comes with two scripts for format conversion, namely `austin2speedscope` and `austin2pprof`. They both take two mandatory arguments, that is, the input and output file. The input file can be either in the MOJO binary format (the default output of Austin 4) or in the collapsed stack format, and is detected automatically. For example, to convert the Austin profile data file `myscript.mojo` to the Google pprof data file `myscript.pprof`, you can run ~~~ bash austin2pprof myscript.mojo myscript.pprof ~~~ The package also provide the `austin-compress` utility to compress the Austin raw samples by aggregation. ## Querying profiles The `austin.query` module provides the `ProfileQuery` class to answer the most common questions about a profile, like which functions are the hottest, what the sampled stacks are, or who calls a given function: ~~~ python from austin.query import ProfileQuery q = ProfileQuery.from_file("myscript.mojo") print(q.top(10)) # hottest functions print(q.callers("db.py:execute")) # who calls execute print(q.filter(thread="main").tree()) # call tree of the main thread ~~~ Every result renders as a text table when printed, and can be converted to JSON-ready data with `to_dict()`. For asyncio profiles (Python 3.14+), `q.tasks()` shows the task trees, `q.task_stacks("worker-0")` where a task was running and awaiting, and `q.filter(task="worker-0")` narrows any query down to the samples in which a task was running. The same queries are available from the command line with `austin-query`: ~~~ console austin-query myscript.mojo top -n 10 austin-query myscript.mojo callers db.py:execute --thread main austin-query myscript.mojo tasks --json austin-query myscript.mojo task-stacks worker-0 # where a task ran and awaited ~~~ Run `austin-query --help` for the selector syntax and a suggested workflow. # Compatibility The latest `austin-python` package is tested on Linux, macOS and Windows with Python 3.9-3.14. # Documentation The official documentation is hosted on readthedocs.io at [austin-python.readthedocs.io](https://austin-python.readthedocs.io/). # Contribute If you want to help with the development, then have a look at the open issues and have a look at the [contributing guidelines](CONTRIBUTING.md) before you open a pull request. You can also contribute to the development by either [becoming a Patron](https://www.patreon.com/bePatron?u=19221563) on Patreon, by [buying me a coffee](https://www.buymeacoffee.com/Q9C1Hnm28) on BMC or by chipping in a few pennies on [PayPal.Me](https://www.paypal.me/gtornetta/1).

Buy Me A Coffee

[Austin]: https://github.com/p403n1x87/austin austin_python-2.6.0/pyproject.toml0000644000000000000000000001027613615410400014265 0ustar00# This file is part of "austin-python" which is released under GPL. # # See file LICENCE or go to http://www.gnu.org/licenses/ for full license # details. # # austin-python is a Python wrapper around Austin, the CPython frame stack # sampler. # # Copyright (c) 2018-2020 Gabriele N. Tornetta . # All rights reserved. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . [project] name = "austin-python" description = "Python wrapper for Austin, the CPython frame stack sampler." authors = [ {name = "Gabriele N. Tornetta", email="phoenix1987@gmail.com"}, ] license = "GPL-3.0-or-later" readme = "README.md" keywords = ["performance", "profiling", "testing", "development"] classifiers = [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", ] requires-python = ">=3.10" dependencies = [ "psutil>=5.7.0", "toml~=0.10", ] dynamic = ["version"] [project.urls] homepage = "https://github.com/P403n1x87/austin-python" documentation = "https://austin-python.readthedocs.io" repository = "https://github.com/P403n1x87/austin-python" issues = "https://github.com/P403n1x87/austin-python/issues" [project.scripts] austin-compress = "austin.format.compress:main" austin-diff = "austin.tools.diff:main" austin-query = "austin.tools.query:main" austin2pprof = "austin.format.pprof.__main__:main" austin2speedscope = "austin.format.speedscope:main" mojo2austin = "austin.format.collapsed_stack:main" austinp-resolve = "austin.tools.resolve:main" mojodbg = "austin.tools.mojodbg:main" mojo-compress = "austin.format.mojo_compress:main" [tool.hatch.envs.tests] template = "tests" dependencies = [ "pytest>=5.4.2", "pytest-asyncio", "pytest-cov>=2.8.1", ] [tool.hatch.envs.tests.scripts] tests = "pytest --cov=austin --cov-report=term-missing --cov-report=xml {args}" [[tool.hatch.envs.tests.matrix]] python = ["3.10", "3.11", "3.12", "3.13", "3.14"] [tool.hatch.envs.checks] python = "3.13" template = "checks" dependencies = [ "black~=26.3", "mypy~=0.990", "flake8~=7.3", "flake8-annotations~=3.2", "flake8-black~=0.4", "flake8-bugbear~=25.11", "flake8-docstrings~=1.7", "flake8-isort~=7.0", "isort~=5.13", ] [tool.hatch.envs.checks.scripts] typing = "mypy --show-error-codes --install-types --non-interactive {args} austin/ test/" linting = "flake8 {args} austin/ test/ " [tool.hatch.envs.coverage] python = "3.10" template = "coverage" dependencies = [ "coverage[toml]", "codecov", ] [tool.hatch.envs.coverage.scripts] cov = "coverage xml --fail-under=50" [tool.hatch.version] source = "vcs" [tool.hatch.build.targets.sdist] exclude = [ "/.github", "/docs", ] [tool.hatch.build.targets.wheel] packages = ["austin"] [tool.coverage.run] branch = true source = ["austin"] [tool.coverage.report] show_missing = true [tool.ruff.lint.isort] force-single-line = true lines-after-imports = 2 force-sort-within-sections = true [tool.mypy] ignore_missing_imports = true exclude = [ "austin/tools/diff.py", ] [[tool.mypy.overrides]] module = [ "austin.format.pprof", ] ignore_errors = true [tool.black] target-version = ["py310", "py311", "py312", "py313", "py314"] extend-exclude = ''' ( /test/data/column\.py ) ''' [tool.isort] force_single_line = true lines_after_imports = -1 skip = [ "test/data/column.py", ] [build-system] requires = ["hatchling", "hatch-vcs"] build-backend = "hatchling.build" austin_python-2.6.0/PKG-INFO0000644000000000000000000002132413615410400012442 0ustar00Metadata-Version: 2.5 Name: austin-python Version: 2.6.0 Summary: Python wrapper for Austin, the CPython frame stack sampler. Project-URL: homepage, https://github.com/P403n1x87/austin-python Project-URL: documentation, https://austin-python.readthedocs.io Project-URL: repository, https://github.com/P403n1x87/austin-python Project-URL: issues, https://github.com/P403n1x87/austin-python/issues Author-email: "Gabriele N. Tornetta" License-Expression: GPL-3.0-or-later License-File: AUTHORS License-File: COPYING License-File: LICENSE.md Keywords: development,performance,profiling,testing Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+) Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3.14 Requires-Python: >=3.10 Requires-Dist: psutil>=5.7.0 Requires-Dist: toml~=0.10 Description-Content-Type: text/markdown


Austin

Python wrapper for Austin

GitHub Actions: Tests GitHub Actions: Checks Codecov Documentation
PyPI Downloads
LICENSE

Synopsis • Installation • Usage • Compatibility • Documentation • Contribute

Buy Me A Coffee

# Synopsis The `austin-python` package is a Python wrapper around the [Austin] binary that provides convenience classes to quickly develop your statistical profiling tools. Whether your code is thread-based or asynchronous, `austin-python` has you covered. This is, for instance, how you would turn Austin into a Python application: ~~~ python import asyncio import sys from austin.aio import AsyncAustin from austin.format.collapsed_stack import AustinEventCollapsedStackFormatter FORMATTER = AustinEventCollapsedStackFormatter() class CollapsedStackAsyncAustin(AsyncAustin): async def on_sample(self, sample): print(FORMATTER.format(sample)) async def on_metadata(self, metadata): print(FORMATTER.format(metadata)) if sys.platform == "win32": asyncio.set_event_loop(asyncio.ProactorEventLoop()) async def main(): austin = CollapsedStackAsyncAustin() await austin.start(["-i", "10ms", "python", "myscript.py"]) await austin.wait() asyncio.run(main()) ~~~ The `austin-python` package is at the heart of the [Austin TUI](https://github.com/P403n1x87/austin-tui) and the [Austin Web](https://github.com/P403n1x87/austin-web) Python applications. Go check them out if you are looking for full-fledged usage examples. Included with the package come two applications for the conversion of Austin collected output, which is in the form of [collapsed stacks](https://github.com/brendangregg/FlameGraph), to either the [Speedscope](https://speedscope.app/) JSON format or the [Google pprof format](https://github.com/google/pprof). Note, however, that the Speedscope web application supports Austin native format directly. # Installation This package can be installed from PyPI with ~~~ bash pip install --user austin-python --upgrade ~~~ Please note that `austin-python` requires the [Austin] binary. The default lookup locations are, in order, - current working directory; - the `AUSTINPATH` environment variable which gives the path to the folder that contains the Austin binary; - the `.austinrc` TOML configuration file in the user's home folder, e.g. `~/.austinrc` on Linux (see below for a sample `.austinrc` file); - the `PATH` environment variable. A sample `.austinrc` file would look like so ~~~ toml binary = "/path/to/austin" ~~~ # Usage A simple example of an echo application was shown above. Other examples using, e.g., threads, can be found in the official documentation. You can also browse through the code of the [Austin TUI](https://github.com/P403n1x87/austin-tui) and the [Austin Web](https://github.com/P403n1x87/austin-web) Python applications to see how they leverage `austin-python`. ## Format conversion As it was mentioned before, this package also comes with two scripts for format conversion, namely `austin2speedscope` and `austin2pprof`. They both take two mandatory arguments, that is, the input and output file. The input file can be either in the MOJO binary format (the default output of Austin 4) or in the collapsed stack format, and is detected automatically. For example, to convert the Austin profile data file `myscript.mojo` to the Google pprof data file `myscript.pprof`, you can run ~~~ bash austin2pprof myscript.mojo myscript.pprof ~~~ The package also provide the `austin-compress` utility to compress the Austin raw samples by aggregation. ## Querying profiles The `austin.query` module provides the `ProfileQuery` class to answer the most common questions about a profile, like which functions are the hottest, what the sampled stacks are, or who calls a given function: ~~~ python from austin.query import ProfileQuery q = ProfileQuery.from_file("myscript.mojo") print(q.top(10)) # hottest functions print(q.callers("db.py:execute")) # who calls execute print(q.filter(thread="main").tree()) # call tree of the main thread ~~~ Every result renders as a text table when printed, and can be converted to JSON-ready data with `to_dict()`. For asyncio profiles (Python 3.14+), `q.tasks()` shows the task trees, `q.task_stacks("worker-0")` where a task was running and awaiting, and `q.filter(task="worker-0")` narrows any query down to the samples in which a task was running. The same queries are available from the command line with `austin-query`: ~~~ console austin-query myscript.mojo top -n 10 austin-query myscript.mojo callers db.py:execute --thread main austin-query myscript.mojo tasks --json austin-query myscript.mojo task-stacks worker-0 # where a task ran and awaited ~~~ Run `austin-query --help` for the selector syntax and a suggested workflow. # Compatibility The latest `austin-python` package is tested on Linux, macOS and Windows with Python 3.9-3.14. # Documentation The official documentation is hosted on readthedocs.io at [austin-python.readthedocs.io](https://austin-python.readthedocs.io/). # Contribute If you want to help with the development, then have a look at the open issues and have a look at the [contributing guidelines](CONTRIBUTING.md) before you open a pull request. You can also contribute to the development by either [becoming a Patron](https://www.patreon.com/bePatron?u=19221563) on Patreon, by [buying me a coffee](https://www.buymeacoffee.com/Q9C1Hnm28) on BMC or by chipping in a few pennies on [PayPal.Me](https://www.paypal.me/gtornetta/1).

Buy Me A Coffee

[Austin]: https://github.com/p403n1x87/austin