././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1767907788.2719636 pynndescent-0.6.0/0000755000175100017510000000000015130020714012662 5ustar00vstsvsts././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/CODE_OF_CONDUCT.md0000644000175100017510000000622415130020663015470 0ustar00vstsvsts# 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, gender identity and expression, level of experience, 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 leland.mcinnes@gmail.com. The project team will review and investigate all complaints, and will respond in a way that it deems 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 [http://contributor-covenant.org/version/1/4][version] [homepage]: http://contributor-covenant.org [version]: http://contributor-covenant.org/version/1/4/././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/CONTRIBUTING.md0000644000175100017510000000505715130020663015125 0ustar00vstsvsts# Contributing Contributions of all kinds are welcome. In particular pull requests are appreciated. The authors will endeavour to help walk you through any issues in the pull request discussion, so please feel free to open a pull request even if you are new to such things. ## Issues The easiest contribution to make is to [file an issue](https://github.com/lmcinnes/umap/issues/new). It is beneficial if you check the [FAQ](https://umap-learn.readthedocs.io/en/latest/faq.html), and do a cursory search of [existing issues](https://github.com/lmcinnes/umap/issues?utf8=%E2%9C%93&q=is%3Aissue). It is also helpful, but not necessary, if you can provide clear instruction for how to reproduce a problem. If you have resolved an issue yourself please consider contributing to the FAQ to add your problem, and its resolution, so others can benefit from your work. ## Documentation Contributing to documentation is the easiest way to get started. Providing simple clear or helpful documentation for new users is critical. Anything that *you* as a new user found hard to understand, or difficult to work out, are excellent places to begin. Contributions to more detailed and descriptive error messages is especially appreciated. To contribute to the documentation please [fork the project](https://github.com/lmcinnes/umap/issues#fork-destination-box) into your own repository, make changes there, and then submit a pull request. ## Code Code contributions are always welcome, from simple bug fixes, to new features. To contribute code please [fork the project](https://github.com/lmcinnes/umap/issues#fork-destination-box) into your own repository, make changes there, and then submit a pull request. If you are fixing a known issue please add the issue number to the PR message. If you are fixing a new issue feel free to file an issue and then reference it in the PR. You can [browse open issues](https://github.com/lmcinnes/umap/issues), or consult the [project roadmap](https://github.com/lmcinnes/umap/issues/15), for potential code contributions. Fixes for issues tagged with 'help wanted' are especially appreciated. ### Code formatting If possible, install the [black code formatter](https://github.com/python/black) (e.g. `pip install black`) and run it before submitting a pull request. This helps maintain consistency across the code, but also there is a check in the Travis-CI continuous integration system which will show up as a failure in the pull request if `black` detects that it hasn't been run. Formatting is as simple as running: ```bash black . ``` in the root of the project. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/LICENSE0000644000175100017510000000244715130020663013701 0ustar00vstsvstsBSD 2-Clause License Copyright (c) 2018, Leland McInnes All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/MANIFEST.in0000644000175100017510000000020215130020663014415 0ustar00vstsvstsinclude LICENSE include *.md include *.rst include requirements.txt recursive-include pynndescent * prune pynndescent/__pycache__ ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1767907788.2719636 pynndescent-0.6.0/PKG-INFO0000644000175100017510000001531715130020714013766 0ustar00vstsvstsMetadata-Version: 2.4 Name: pynndescent Version: 0.6.0 Summary: Nearest Neighbor Descent Author-email: Leland McInnes Maintainer-email: Leland McInnes License-Expression: BSD-2-Clause Project-URL: Homepage, http://github.com/lmcinnes/pynndescent Keywords: nearest,neighbor,knn,ANN Classifier: Development Status :: 3 - Alpha Classifier: Intended Audience :: Science/Research Classifier: Intended Audience :: Developers Classifier: Programming Language :: Python Classifier: Topic :: Software Development Classifier: Topic :: Scientific/Engineering Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: POSIX Classifier: Operating System :: Unix Classifier: Operating System :: MacOS Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Description-Content-Type: text/x-rst License-File: LICENSE Requires-Dist: scikit-learn>=0.18 Requires-Dist: scipy>=1.0 Requires-Dist: numba>=0.55.0 Requires-Dist: llvmlite>=0.38 Requires-Dist: joblib>=0.11 Provides-Extra: testing Requires-Dist: pytest; extra == "testing" Dynamic: license-file .. image:: doc/pynndescent_logo.png :width: 600 :align: center :alt: PyNNDescent Logo .. image:: https://dev.azure.com/TutteInstitute/build-pipelines/_apis/build/status%2Flmcinnes.pynndescent?branchName=master :target: https://dev.azure.com/TutteInstitute/build-pipelines/_build?definitionId=17 :alt: Azure Pipelines Build Status .. image:: https://readthedocs.org/projects/pynndescent/badge/?version=latest :target: https://pynndescent.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status =========== PyNNDescent =========== PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and approximate nearest neighbor search, as per the paper: Dong, Wei, Charikar Moses, and Kai Li. *"Efficient k-nearest neighbor graph construction for generic similarity measures."* Proceedings of the 20th international conference on World wide web. ACM, 2011. This library supplements that approach with the use of random projection trees for initialisation. This can be particularly useful for the metrics that are amenable to such approaches (euclidean, minkowski, angular, cosine, etc.). Graph diversification is also performed, pruning the longest edges of any triangles in the graph. Currently this library targets relatively high accuracy (80%-100% accuracy rate) approximate nearest neighbor searches. -------------------- Why use PyNNDescent? -------------------- PyNNDescent provides fast approximate nearest neighbor queries. The `ann-benchmarks `_ system puts it solidly in the mix of top performing ANN libraries: **SIFT-128 Euclidean** .. image:: https://pynndescent.readthedocs.io/en/latest/_images/sift.png :alt: ANN benchmark performance for SIFT 128 dataset **NYTimes-256 Angular** .. image:: https://pynndescent.readthedocs.io/en/latest/_images/nytimes.png :alt: ANN benchmark performance for NYTimes 256 dataset While PyNNDescent is among fastest ANN library, it is also both easy to install (pip and conda installable) with no platform or compilation issues, and is very flexible, supporting a wide variety of distance metrics by default: **Minkowski style metrics** - euclidean - manhattan - chebyshev - minkowski **Miscellaneous spatial metrics** - canberra - braycurtis - haversine **Normalized spatial metrics** - mahalanobis - wminkowski - seuclidean **Angular and correlation metrics** - cosine - dot - correlation - spearmanr - tsss - true_angular **Probability metrics** - hellinger - wasserstein **Metrics for binary data** - hamming - jaccard - dice - russelrao - kulsinski - rogerstanimoto - sokalmichener - sokalsneath - yule and also custom user defined distance metrics while still retaining performance. PyNNDescent also integrates well with Scikit-learn, including providing support for the KNeighborTransformer as a drop in replacement for algorithms that make use of nearest neighbor computations. ---------------------- How to use PyNNDescent ---------------------- PyNNDescent aims to have a very simple interface. It is similar to (but more limited than) KDTrees and BallTrees in ``sklearn``. In practice there are only two operations -- index construction, and querying an index for nearest neighbors. To build a new search index on some training data ``data`` you can do something like .. code:: python from pynndescent import NNDescent index = NNDescent(data) You can then use the index for searching (and can pickle it to disk if you wish). To search a pynndescent index for the 15 nearest neighbors of a test data set ``query_data`` you can do something like .. code:: python index.query(query_data, k=15) and that is pretty much all there is to it. You can find more details in the `documentation `_. ---------- Installing ---------- PyNNDescent is designed to be easy to install being a pure python module with relatively light requirements: * numpy * scipy * scikit-learn >= 0.22 * numba >= 0.51 all of which should be pip or conda installable. The easiest way to install should be via conda: .. code:: bash conda install -c conda-forge pynndescent or via pip: .. code:: bash pip install pynndescent To manually install this package: .. code:: bash wget https://github.com/lmcinnes/pynndescent/archive/master.zip unzip master.zip rm master.zip cd pynndescent-master python setup.py install ---------------- Help and Support ---------------- This project is still young. The documentation is still growing. In the meantime please `open an issue `_ and I will try to provide any help and guidance that I can. Please also check the docstrings on the code, which provide some descriptions of the parameters. ------- License ------- The pynndescent package is 2-clause BSD licensed. Enjoy. ------------ Contributing ------------ Contributions are more than welcome! There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from code to notebooks to examples and documentation are all *equally valuable* so please don't feel you can't contribute. To contribute please `fork the project `_ make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/README.rst0000644000175100017510000001273415130020663014363 0ustar00vstsvsts.. image:: doc/pynndescent_logo.png :width: 600 :align: center :alt: PyNNDescent Logo .. image:: https://dev.azure.com/TutteInstitute/build-pipelines/_apis/build/status%2Flmcinnes.pynndescent?branchName=master :target: https://dev.azure.com/TutteInstitute/build-pipelines/_build?definitionId=17 :alt: Azure Pipelines Build Status .. image:: https://readthedocs.org/projects/pynndescent/badge/?version=latest :target: https://pynndescent.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status =========== PyNNDescent =========== PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and approximate nearest neighbor search, as per the paper: Dong, Wei, Charikar Moses, and Kai Li. *"Efficient k-nearest neighbor graph construction for generic similarity measures."* Proceedings of the 20th international conference on World wide web. ACM, 2011. This library supplements that approach with the use of random projection trees for initialisation. This can be particularly useful for the metrics that are amenable to such approaches (euclidean, minkowski, angular, cosine, etc.). Graph diversification is also performed, pruning the longest edges of any triangles in the graph. Currently this library targets relatively high accuracy (80%-100% accuracy rate) approximate nearest neighbor searches. -------------------- Why use PyNNDescent? -------------------- PyNNDescent provides fast approximate nearest neighbor queries. The `ann-benchmarks `_ system puts it solidly in the mix of top performing ANN libraries: **SIFT-128 Euclidean** .. image:: https://pynndescent.readthedocs.io/en/latest/_images/sift.png :alt: ANN benchmark performance for SIFT 128 dataset **NYTimes-256 Angular** .. image:: https://pynndescent.readthedocs.io/en/latest/_images/nytimes.png :alt: ANN benchmark performance for NYTimes 256 dataset While PyNNDescent is among fastest ANN library, it is also both easy to install (pip and conda installable) with no platform or compilation issues, and is very flexible, supporting a wide variety of distance metrics by default: **Minkowski style metrics** - euclidean - manhattan - chebyshev - minkowski **Miscellaneous spatial metrics** - canberra - braycurtis - haversine **Normalized spatial metrics** - mahalanobis - wminkowski - seuclidean **Angular and correlation metrics** - cosine - dot - correlation - spearmanr - tsss - true_angular **Probability metrics** - hellinger - wasserstein **Metrics for binary data** - hamming - jaccard - dice - russelrao - kulsinski - rogerstanimoto - sokalmichener - sokalsneath - yule and also custom user defined distance metrics while still retaining performance. PyNNDescent also integrates well with Scikit-learn, including providing support for the KNeighborTransformer as a drop in replacement for algorithms that make use of nearest neighbor computations. ---------------------- How to use PyNNDescent ---------------------- PyNNDescent aims to have a very simple interface. It is similar to (but more limited than) KDTrees and BallTrees in ``sklearn``. In practice there are only two operations -- index construction, and querying an index for nearest neighbors. To build a new search index on some training data ``data`` you can do something like .. code:: python from pynndescent import NNDescent index = NNDescent(data) You can then use the index for searching (and can pickle it to disk if you wish). To search a pynndescent index for the 15 nearest neighbors of a test data set ``query_data`` you can do something like .. code:: python index.query(query_data, k=15) and that is pretty much all there is to it. You can find more details in the `documentation `_. ---------- Installing ---------- PyNNDescent is designed to be easy to install being a pure python module with relatively light requirements: * numpy * scipy * scikit-learn >= 0.22 * numba >= 0.51 all of which should be pip or conda installable. The easiest way to install should be via conda: .. code:: bash conda install -c conda-forge pynndescent or via pip: .. code:: bash pip install pynndescent To manually install this package: .. code:: bash wget https://github.com/lmcinnes/pynndescent/archive/master.zip unzip master.zip rm master.zip cd pynndescent-master python setup.py install ---------------- Help and Support ---------------- This project is still young. The documentation is still growing. In the meantime please `open an issue `_ and I will try to provide any help and guidance that I can. Please also check the docstrings on the code, which provide some descriptions of the parameters. ------- License ------- The pynndescent package is 2-clause BSD licensed. Enjoy. ------------ Contributing ------------ Contributions are more than welcome! There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from code to notebooks to examples and documentation are all *equally valuable* so please don't feel you can't contribute. To contribute please `fork the project `_ make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch. ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1767907788.2639635 pynndescent-0.6.0/pynndescent/0000755000175100017510000000000015130020714015214 5ustar00vstsvsts././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/__init__.py0000644000175100017510000000114715130020663017333 0ustar00vstsvstsimport sys import numba from .pynndescent_ import NNDescent, PyNNDescentTransformer if sys.version_info[:2] >= (3, 8): import importlib.metadata as importlib_metadata else: import importlib_metadata # Workaround: https://github.com/numba/numba/issues/3341 if numba.config.THREADING_LAYER == "omp": try: from numba.np.ufunc import tbbpool numba.config.THREADING_LAYER = "tbb" except ImportError as e: # might be a missing symbol due to e.g. tbb libraries missing numba.config.THREADING_LAYER = "workqueue" __version__ = importlib_metadata.version("pynndescent") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/distances.py0000644000175100017510000017377315130020663017570 0ustar00vstsvsts# Author: Leland McInnes # # License: BSD 3 clause import numpy as np import numba from pynndescent.optimal_transport import ( allocate_graph_structures, initialize_graph_structures, initialize_supply, initialize_cost, network_simplex_core, total_cost, ProblemStatus, sinkhorn_transport_plan, ) from numba import types from numba.extending import intrinsic from numba.core import cgutils from llvmlite import ir as llvm_ir _mock_identity = np.eye(2, dtype=np.float32) _mock_ones = np.ones(2, dtype=np.float32) _dummy_cost = np.zeros((2, 2), dtype=np.float64) FLOAT32_EPS = np.finfo(np.float32).eps FLOAT32_MAX = np.finfo(np.float32).max @intrinsic def popcnt_u8(typingctx, val): """Hardware popcount for uint8 using LLVM intrinsic.""" sig = types.uint8(types.uint8) def popcnt_u8_impl(context, builder, sig, args): [val] = args # Declare LLVM's ctpop intrinsic for i8 llvm_i8 = val.type fnty = llvm_ir.FunctionType(llvm_i8, [llvm_i8]) llvm_ctpop = cgutils.get_or_insert_function( builder.module, fnty, "llvm.ctpop.i8" ) result = builder.call(llvm_ctpop, [val]) return result return sig, popcnt_u8_impl @numba.njit(fastmath=True) def euclidean(x, y): r"""Standard euclidean distance. .. math:: D(x, y) = \\sqrt{\sum_i (x_i - y_i)^2} """ result = 0.0 for i in range(x.shape[0]): result += (x[i] - y[i]) ** 2 return np.sqrt(result) @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "diff": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def squared_euclidean(x, y): r"""Squared euclidean distance. .. math:: D(x, y) = \sum_i (x_i - y_i)^2 """ result = 0.0 dim = x.shape[0] for i in range(dim): diff = x[i] - y[i] result += diff * diff return result @numba.njit(fastmath=True) def standardised_euclidean(x, y, sigma=_mock_ones): r"""Euclidean distance standardised against a vector of standard deviations per coordinate. .. math:: D(x, y) = \sqrt{\sum_i \frac{(x_i - y_i)**2}{v_i}} """ result = 0.0 for i in range(x.shape[0]): result += ((x[i] - y[i]) ** 2) / sigma[i] return np.sqrt(result) @numba.njit(fastmath=True) def manhattan(x, y): r"""Manhattan, taxicab, or l1 distance. .. math:: D(x, y) = \sum_i |x_i - y_i| """ result = 0.0 for i in range(x.shape[0]): result += np.abs(x[i] - y[i]) return result @numba.njit(fastmath=True) def chebyshev(x, y): r"""Chebyshev or l-infinity distance. .. math:: D(x, y) = \max_i |x_i - y_i| """ result = 0.0 for i in range(x.shape[0]): result = max(result, np.abs(x[i] - y[i])) return result @numba.njit(fastmath=True) def minkowski(x, y, p=2): r"""Minkowski distance. .. math:: D(x, y) = \left(\sum_i |x_i - y_i|^p\right)^{\frac{1}{p}} This is a general distance. For p=1 it is equivalent to manhattan distance, for p=2 it is Euclidean distance, and for p=infinity it is Chebyshev distance. In general it is better to use the more specialised functions for those distances. """ result = 0.0 for i in range(x.shape[0]): result += (np.abs(x[i] - y[i])) ** p return result ** (1.0 / p) @numba.njit(fastmath=True) def weighted_minkowski(x, y, w=_mock_ones, p=2): r"""A weighted version of Minkowski distance. .. math:: D(x, y) = \left(\sum_i w_i |x_i - y_i|^p\right)^{\frac{1}{p}} If weights w_i are inverse standard deviations of graph_data in each dimension then this represented a standardised Minkowski distance (and is equivalent to standardised Euclidean distance for p=1). """ result = 0.0 for i in range(x.shape[0]): result += w[i] * np.abs(x[i] - y[i]) ** p return result ** (1.0 / p) @numba.njit(fastmath=True) def mahalanobis(x, y, vinv=_mock_identity): r"""Mahalanobis distance. .. math:: D(x, y) = \sqrt{(x - y)^T V^{-1} (x - y)} where V is the covariance matrix. This is equivalent to Euclidean distance after transforming the space by the inverse square root of the covariance. """ result = 0.0 diff = np.empty(x.shape[0], dtype=np.float32) for i in range(x.shape[0]): diff[i] = x[i] - y[i] for i in range(x.shape[0]): tmp = 0.0 for j in range(x.shape[0]): tmp += vinv[i, j] * diff[j] result += tmp * diff[i] return np.sqrt(result) @numba.njit(fastmath=True) def hamming(x, y): r"""Hamming distance. The proportion of elements that differ between two vectors. .. math:: D(x, y) = \frac{1}{n} \sum_i \mathbf{1}_{x_i \neq y_i} """ result = 0.0 for i in range(x.shape[0]): if x[i] != y[i]: result += 1.0 return float(result) / x.shape[0] @numba.njit(fastmath=True) def canberra(x, y): r"""Canberra distance. A weighted version of Manhattan distance where each term is divided by the sum of absolute values. .. math:: D(x, y) = \sum_i \frac{|x_i - y_i|}{|x_i| + |y_i|} """ result = 0.0 for i in range(x.shape[0]): denominator = np.abs(x[i]) + np.abs(y[i]) if denominator > 0: result += np.abs(x[i] - y[i]) / denominator return result @numba.njit(fastmath=True) def bray_curtis(x, y): r"""Bray-Curtis distance. A distance measure commonly used in ecology to quantify the compositional dissimilarity between two samples. .. math:: D(x, y) = \frac{\sum_i |x_i - y_i|}{\sum_i |x_i + y_i|} """ numerator = 0.0 denominator = 0.0 for i in range(x.shape[0]): numerator += np.abs(x[i] - y[i]) denominator += np.abs(x[i] + y[i]) if denominator > 0.0: return float(numerator) / denominator else: return 0.0 @numba.njit(fastmath=True) def jaccard(x, y): r"""Jaccard distance. One minus the Jaccard similarity coefficient. For binary vectors this is the size of the symmetric difference divided by the size of the union. .. math:: D(x, y) = 1 - \frac{|x \cap y|}{|x \cup y|} For continuous vectors, non-zero values are treated as set membership. """ num_non_zero = 0.0 num_equal = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_non_zero += x_true or y_true num_equal += x_true and y_true if num_non_zero == 0.0: return 0.0 else: return float(num_non_zero - num_equal) / num_non_zero @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "num_non_zero": numba.types.float32, "num_equal": numba.types.float32, "x_true": numba.types.uint8, "y_true": numba.types.uint8, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def alternative_jaccard(x, y): r"""Alternative Jaccard distance using log transform. A transformed version of Jaccard distance suitable for the bounded-radius search algorithm. Uses negative log of the Jaccard similarity coefficient. .. math:: D_{alt}(x, y) = -\log_2\left(\frac{|x \cap y|}{|x \cup y|}\right) Use `correct_alternative_jaccard` to convert back to standard Jaccard distance. """ num_non_zero = 0.0 num_equal = 0.0 dim = x.shape[0] for i in range(dim): x_true = x[i] != 0 y_true = y[i] != 0 num_non_zero += x_true or y_true num_equal += x_true and y_true if num_non_zero == 0.0: return 0.0 else: return -np.log2(num_equal / num_non_zero) @numba.vectorize(fastmath=True) def correct_alternative_jaccard(v): r"""Convert alternative Jaccard distance back to standard Jaccard distance. .. math:: D(x, y) = 1 - 2^{-D_{alt}(x, y)} """ return 1.0 - pow(2.0, -v) @numba.njit(fastmath=True) def matching(x, y): r"""Matching distance (simple matching dissimilarity). The proportion of elements that differ in their boolean state. For binary vectors, counts positions where one is non-zero and the other is zero. .. math:: D(x, y) = \frac{1}{n} \sum_i \mathbf{1}_{(x_i \neq 0) \neq (y_i \neq 0)} """ num_not_equal = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_not_equal += x_true != y_true return float(num_not_equal) / x.shape[0] @numba.njit(fastmath=True) def dice(x, y): r"""Dice distance (Sørensen-Dice dissimilarity). One minus twice the intersection divided by the sum of cardinalities. Commonly used for comparing the similarity of two samples. .. math:: D(x, y) = \frac{|x \oplus y|}{2|x \cap y| + |x \oplus y|} where :math:`\oplus` denotes symmetric difference. """ num_true_true = 0.0 num_not_equal = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_true_true += x_true and y_true num_not_equal += x_true != y_true if num_not_equal == 0.0: return 0.0 else: return num_not_equal / (2.0 * num_true_true + num_not_equal) @numba.njit(fastmath=True) def kulsinski(x, y): r"""Kulsinski distance. A variant of Jaccard distance that includes a count of all dimensions. For binary vectors, gives more weight to dimensions where both are false. .. math:: D(x, y) = \frac{|x \oplus y| - |x \cap y| + n}{|x \oplus y| + n} where n is the number of dimensions. """ num_true_true = 0.0 num_not_equal = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_true_true += x_true and y_true num_not_equal += x_true != y_true if num_not_equal == 0: return 0.0 else: return float(num_not_equal - num_true_true + x.shape[0]) / ( num_not_equal + x.shape[0] ) @numba.njit(fastmath=True) def rogers_tanimoto(x, y): r"""Rogers-Tanimoto distance. A distance measure for binary vectors that gives double weight to disagreements. .. math:: D(x, y) = \frac{2|x \oplus y|}{n + |x \oplus y|} where n is the number of dimensions. """ num_not_equal = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_not_equal += x_true != y_true return (2.0 * num_not_equal) / (x.shape[0] + num_not_equal) @numba.njit(fastmath=True) def russellrao(x, y): r"""Russell-Rao distance. The proportion of dimensions where at least one vector has a false value. .. math:: D(x, y) = \frac{n - |x \cap y|}{n} where n is the number of dimensions. """ num_true_true = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_true_true += x_true and y_true if num_true_true == np.sum(x != 0) and num_true_true == np.sum(y != 0): return 0.0 else: return float(x.shape[0] - num_true_true) / (x.shape[0]) @numba.njit(fastmath=True) def sokal_michener(x, y): r"""Sokal-Michener distance. Equivalent to Rogers-Tanimoto distance. A distance measure for binary vectors that gives double weight to disagreements. .. math:: D(x, y) = \frac{2|x \oplus y|}{n + |x \oplus y|} where n is the number of dimensions. """ num_not_equal = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_not_equal += x_true != y_true return (2.0 * num_not_equal) / (x.shape[0] + num_not_equal) @numba.njit(fastmath=True) def sokal_sneath(x, y): r"""Sokal-Sneath distance. A binary distance that gives double weight to agreements (both true). .. math:: D(x, y) = \frac{|x \oplus y|}{0.5|x \cap y| + |x \oplus y|} where :math:`\oplus` denotes symmetric difference. """ num_true_true = 0.0 num_not_equal = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_true_true += x_true and y_true num_not_equal += x_true != y_true if num_not_equal == 0.0: return 0.0 else: return num_not_equal / (0.5 * num_true_true + num_not_equal) @numba.njit(fastmath=True) def haversine(x, y): r"""Haversine (great circle) distance. The angular distance between two points on a sphere, given their latitudes and longitudes in radians. Only valid for 2D data where x[0], y[0] are latitudes and x[1], y[1] are longitudes. .. math:: D(x, y) = 2 \arcsin\left(\sqrt{\sin^2\left(\frac{\phi_1 - \phi_2}{2}\right) + \cos(\phi_1)\cos(\phi_2)\sin^2\left(\frac{\lambda_1 - \lambda_2}{2}\right)}\right) where :math:`\phi` is latitude and :math:`\lambda` is longitude. """ if x.shape[0] != 2: raise ValueError("haversine is only defined for 2 dimensional graph_data") sin_lat = np.sin(0.5 * (x[0] - y[0])) sin_long = np.sin(0.5 * (x[1] - y[1])) result = np.sqrt(sin_lat**2 + np.cos(x[0]) * np.cos(y[0]) * sin_long**2) return 2.0 * np.arcsin(result) @numba.njit(fastmath=True) def yule(x, y): r"""Yule distance. A binary distance based on the Yule Q coefficient of association. .. math:: D(x, y) = \frac{2 \cdot n_{TF} \cdot n_{FT}}{n_{TT} \cdot n_{FF} + n_{TF} \cdot n_{FT}} where :math:`n_{TF}` is the count of positions where x is true and y is false, etc. """ num_true_true = 0.0 num_true_false = 0.0 num_false_true = 0.0 for i in range(x.shape[0]): x_true = x[i] != 0 y_true = y[i] != 0 num_true_true += x_true and y_true num_true_false += x_true and (not y_true) num_false_true += (not x_true) and y_true num_false_false = x.shape[0] - num_true_true - num_true_false - num_false_true if num_true_false == 0.0 or num_false_true == 0.0: return 0.0 else: return (2.0 * num_true_false * num_false_true) / ( num_true_true * num_false_false + num_true_false * num_false_true ) @numba.njit(fastmath=True) def cosine(x, y): r"""Cosine distance. One minus the cosine of the angle between two vectors. Measures the angular difference between vectors, independent of their magnitudes. .. math:: D(x, y) = 1 - \frac{\langle x, y \rangle}{\|x\| \|y\|} Returns 0 if both vectors are zero, 1 if one is zero. """ result = 0.0 norm_x = 0.0 norm_y = 0.0 for i in range(x.shape[0]): result += x[i] * y[i] norm_x += x[i] ** 2 norm_y += y[i] ** 2 if norm_x == 0.0 and norm_y == 0.0: return 0.0 elif norm_x == 0.0 or norm_y == 0.0: return 1.0 else: return 1.0 - (result / np.sqrt(norm_x * norm_y)) @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "norm_x": numba.types.float32, "norm_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def alternative_cosine(x, y): r"""Alternative cosine distance using log transform. A transformed version of cosine distance suitable for the bounded-radius search algorithm. Uses negative log of the cosine similarity. .. math:: D_{alt}(x, y) = \log_2\left(\frac{\|x\| \|y\|}{\langle x, y \rangle}\right) Returns FLOAT32_MAX for non-positive cosine similarities (treating them as infinitely far). Use `correct_alternative_cosine` to convert back to standard cosine distance. """ result = 0.0 norm_x = 0.0 norm_y = 0.0 dim = x.shape[0] for i in range(dim): result += x[i] * y[i] norm_x += x[i] * x[i] norm_y += y[i] * y[i] if norm_x == 0.0 and norm_y == 0.0: return 0.0 elif norm_x == 0.0 or norm_y == 0.0: return FLOAT32_MAX elif result <= 0.0: return FLOAT32_MAX else: result = np.sqrt(norm_x * norm_y) / result return np.log2(result) @numba.njit( "f4(f4[::1],f4[::1])", fastmath=True, locals={ "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def dot(x, y): r"""Dot product distance for normalized vectors. One minus the dot product. This is equivalent to cosine distance when vectors are normalized to unit length. For unnormalized vectors, use `inner_product` distance instead. .. math:: D(x, y) = 1 - \langle x, y \rangle Returns 1.0 for non-positive dot products. """ result = 0.0 dim = x.shape[0] for i in range(dim): result += x[i] * y[i] if result <= 0.0: return 1.0 else: return 1.0 - result @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def alternative_dot(x, y): r"""Alternative dot product distance using log transform. A transformed version of dot product distance suitable for the bounded-radius search algorithm. Uses negative log of the dot product. .. math:: D_{alt}(x, y) = -\log_2(\langle x, y \rangle) Returns FLOAT32_MAX for non-positive dot products (treating them as infinitely far). Use `correct_alternative_cosine` to convert back to standard dot distance. """ result = 0.0 dim = x.shape[0] for i in range(dim): result += x[i] * y[i] if result <= 0.0: return FLOAT32_MAX else: return -np.log2(result) @numba.vectorize(fastmath=True) def correct_alternative_cosine(d): r"""Convert alternative cosine/dot distance back to standard form. .. math:: D(x, y) = 1 - 2^{-D_{alt}(x, y)} """ return 1.0 - pow(2.0, -d) @numba.njit( "f4(f4[::1],f4[::1])", fastmath=True, locals={ "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def inner_product(x, y): r"""Inner product distance (negative inner product). This is useful for retrieval tasks where the inner product represents similarity (higher = more similar). The distance is simply the negation of the inner product, so that higher similarity becomes lower distance. Note: Unlike dot product distance, this does NOT assume normalized vectors. For normalized vectors, use the `dot` distance instead which is bounded [0, 1]. .. math:: D(x, y) = -\sum_i x_i y_i """ result = 0.0 dim = x.shape[0] for i in range(dim): result += x[i] * y[i] return -result @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def alternative_inner_product(x, y): r"""Alternative inner product distance using reciprocal transform. This transforms the inner product into a positive distance suitable for the bounded-radius search algorithm. The transform is: .. math:: D_{alt}(x, y) = \frac{1}{\langle x, y \rangle} This maps positive inner products to positive distances: - High inner product → small positive distance - Low positive inner product → large positive distance - Non-positive inner product → FLOAT32_MAX (treated as infinitely far) In high-dimensional nearest neighbor search, we expect true neighbors to have positive inner products. Pairs with non-positive inner products are treated as maximally distant, similar to how alternative_cosine handles negative cosine similarities. The correction function `correct_alternative_inner_product` converts back to the negative inner product. """ result = 0.0 dim = x.shape[0] for i in range(dim): result += x[i] * y[i] if result <= 0.0: return FLOAT32_MAX else: return 1.0 / result @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "ip_result": numba.types.float32, "norm_x": numba.types.float32, "norm_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def proxy_inner_product(x, y): r"""A proxy for inner product distance (negative inner product). Inner product distance has undesirable properties for nearest neighbor graph based search, and NNDescent in general. This is a proxy function that behaves similarly to inner product distance for ranking neighbors, but avoids some of the pitfalls. This is to be used internally, and results should use reranking with true inner product distance. """ ip_result = 0.0 norm_x = 0.0 norm_y = 0.0 dim = x.shape[0] for i in range(dim): ip_result += x[i] * y[i] norm_x += x[i] * x[i] norm_y += y[i] * y[i] if norm_x == 0 or norm_y == 0: return FLOAT32_MAX cosine_result = -np.log2(ip_result / np.sqrt(norm_x * norm_y)) if ip_result >= 0: return cosine_result + 1.0 / np.sqrt(ip_result) else: return FLOAT32_MAX @numba.vectorize(fastmath=True) def correct_alternative_inner_product(d): r"""Convert alternative inner product distance back to negative inner product. .. math:: D(x, y) = -\langle x, y \rangle = -\frac{1}{D_{alt}(x, y)} For d = FLOAT32_MAX (non-positive inner products), returns 0.0 as the negative inner product (representing orthogonal or dissimilar vectors). """ if d >= FLOAT32_MAX: return 0.0 return -1.0 / d @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "cdf_x": numba.types.float32, "cdf_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def proxy_wasserstein_1d(x, y): r"""A proxy for 1D Wasserstein distance. Uses L1 distance on the cumulative distribution functions, which is exactly equal to Wasserstein-1 distance for 1D distributions. This avoids the more expensive Minkowski computation with allocation. For Wasserstein-p with p > 1, this is a lower bound and correlates well for nearest neighbor search. .. math:: D_{proxy}(x, y) = \sum_i |F_x(i) - F_y(i)| where :math:`F_x, F_y` are the cumulative distribution functions. Results should be reranked with true wasserstein_1d distance if p > 1. """ l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): l1_norm_x += x[i] l1_norm_y += y[i] if l1_norm_x == 0.0 or l1_norm_y == 0.0: return FLOAT32_MAX # Compute CDF difference inline to avoid allocation cdf_x = 0.0 cdf_y = 0.0 result = 0.0 for i in range(dim): cdf_x += x[i] / l1_norm_x cdf_y += y[i] / l1_norm_y result += np.abs(cdf_x - cdf_y) return result @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "tv_result": numba.types.float32, "hellinger_result": numba.types.float32, "px": numba.types.float32, "py": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def proxy_kantorovich(x, y): r"""A proxy for Kantorovich (Earth Mover's) distance. The full Kantorovich distance requires solving an optimal transport problem via network simplex, which is expensive. This proxy uses a combination of: 1. Total variation distance (L1 on normalized distributions) 2. Hellinger-like term for better correlation This is much cheaper to compute and correlates reasonably well with true optimal transport distance for nearest neighbor search. Results should be reranked with true kantorovich distance. """ l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): l1_norm_x += x[i] l1_norm_y += y[i] if l1_norm_x == 0.0 or l1_norm_y == 0.0: return FLOAT32_MAX # Total variation distance + Hellinger-like term tv_result = 0.0 hellinger_result = 0.0 for i in range(dim): px = x[i] / l1_norm_x py = y[i] / l1_norm_y tv_result += np.abs(px - py) hellinger_result += np.sqrt(px * py) # Combine: TV captures mass difference, Hellinger captures shape similarity return 0.5 * tv_result + (1.0 - hellinger_result) @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "cdf_x": numba.types.float32, "cdf_y": numba.types.float32, "mu": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def proxy_circular_kantorovich(x, y): r"""A proxy for circular Kantorovich distance. Uses mean-shifted CDF L1 distance instead of the more expensive median-shifted Minkowski distance. The mean is a reasonable approximation to the median for most distributions and avoids the expensive median computation. Results should be reranked with true circular_kantorovich distance. """ l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): l1_norm_x += x[i] l1_norm_y += y[i] if l1_norm_x == 0.0 or l1_norm_y == 0.0: return FLOAT32_MAX # Compute CDF differences and their mean cdf_x = 0.0 cdf_y = 0.0 mu = 0.0 for i in range(dim): cdf_x += x[i] / l1_norm_x cdf_y += y[i] / l1_norm_y mu += cdf_x - cdf_y mu /= dim # L1 on shifted CDFs cdf_x = 0.0 cdf_y = 0.0 result = 0.0 for i in range(dim): cdf_x += x[i] / l1_norm_x cdf_y += y[i] / l1_norm_y result += np.abs(cdf_x - cdf_y - mu) return result @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "bc": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def proxy_jensen_shannon(x, y): r"""A proxy for Jensen-Shannon divergence. Jensen-Shannon requires computing logs and the mixture distribution, which is expensive. This proxy uses squared Hellinger distance, which is also a proper divergence on probability distributions and much cheaper to compute (no logs required). .. math:: D_{proxy}(x, y) = 1 - \left(\sum_i \sqrt{p_i q_i}\right)^2 where p, q are the normalized distributions. Results should be reranked with true jensen_shannon_divergence. """ l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): l1_norm_x += x[i] l1_norm_y += y[i] if l1_norm_x == 0.0 or l1_norm_y == 0.0: return FLOAT32_MAX # Bhattacharyya coefficient bc = 0.0 for i in range(dim): bc += np.sqrt((x[i] / l1_norm_x) * (y[i] / l1_norm_y)) # Squared Hellinger-like distance: 1 - BC^2 # This spreads values more than standard Hellinger and correlates # well with Jensen-Shannon divergence return 1.0 - bc * bc @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "px": numba.types.float32, "py": numba.types.float32, "denom": numba.types.float32, "diff": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def proxy_symmetric_kl(x, y): r"""A proxy for symmetric KL divergence. Symmetric KL requires computing logs which is expensive. This proxy uses triangular discrimination (symmetric chi-squared divergence), which is a second-order approximation to KL divergence and much cheaper. .. math:: D_{proxy}(x, y) = \sum_i \frac{(p_i - q_i)^2}{p_i + q_i} Results should be reranked with true symmetric_kl_divergence. """ l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): l1_norm_x += x[i] l1_norm_y += y[i] if l1_norm_x == 0.0 or l1_norm_y == 0.0: return FLOAT32_MAX # Triangular discrimination / symmetric chi-squared result = 0.0 for i in range(dim): px = x[i] / l1_norm_x py = y[i] / l1_norm_y denom = px + py if denom > 0: diff = px - py result += (diff * diff) / denom return result @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "tv_result": numba.types.float32, "hellinger_result": numba.types.float32, "px": numba.types.float32, "py": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def proxy_sinkhorn(x, y): r"""A proxy for Sinkhorn (entropy-regularized optimal transport) distance. Sinkhorn distance requires iterative matrix scaling which is expensive. This proxy uses the same combination as proxy_kantorovich since Sinkhorn approximates Kantorovich. Results should be reranked with true sinkhorn distance. """ l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): l1_norm_x += x[i] l1_norm_y += y[i] if l1_norm_x == 0.0 or l1_norm_y == 0.0: return FLOAT32_MAX # Total variation distance + Hellinger-like term tv_result = 0.0 hellinger_result = 0.0 for i in range(dim): px = x[i] / l1_norm_x py = y[i] / l1_norm_y tv_result += np.abs(px - py) hellinger_result += np.sqrt(px * py) return 0.5 * tv_result + (1.0 - hellinger_result) @numba.njit(fastmath=True) def tsss(x, y): r"""Triangle Area Similarity - Sector Area Similarity (TS-SS) distance. A distance metric that combines both magnitude and angular information. It multiplies a triangle area (capturing angular difference) by a sector area (capturing both angular and magnitude differences). Useful when both the direction and magnitude of vectors are important. """ d_euc_squared = 0.0 d_cos = 0.0 norm_x = 0.0 norm_y = 0.0 dim = x.shape[0] for i in range(dim): diff = x[i] - y[i] d_euc_squared += diff * diff d_cos += x[i] * y[i] norm_x += x[i] * x[i] norm_y += y[i] * y[i] norm_x = np.sqrt(norm_x) norm_y = np.sqrt(norm_y) magnitude_difference = np.abs(norm_x - norm_y) d_cos /= norm_x * norm_y theta = np.arccos(d_cos) + np.radians(10) # Add 10 degrees as an "epsilon" to # avoid problems sector = ((np.sqrt(d_euc_squared) + magnitude_difference) ** 2) * theta triangle = norm_x * norm_y * np.sin(theta) / 2.0 return triangle * sector @numba.njit(fastmath=True) def true_angular(x, y): r"""True angular distance. The actual angle between two vectors, normalized to [0, 1]. Unlike cosine distance which uses 1 - cos(θ), this returns 1 - θ/π. .. math:: D(x, y) = 1 - \frac{\arccos\left(\frac{\langle x, y \rangle}{\|x\| \|y\|}\right)}{\pi} Returns 0 for identical directions, approaches 1 for opposite directions. """ result = 0.0 norm_x = 0.0 norm_y = 0.0 dim = x.shape[0] for i in range(dim): result += x[i] * y[i] norm_x += x[i] * x[i] norm_y += y[i] * y[i] if norm_x == 0.0 and norm_y == 0.0: return 0.0 elif norm_x == 0.0 or norm_y == 0.0: return FLOAT32_MAX elif result <= 0.0: return FLOAT32_MAX else: result = result / np.sqrt(norm_x * norm_y) return 1.0 - (np.arccos(result) / np.pi) @numba.vectorize(fastmath=True) def true_angular_from_alt_cosine(d): r"""Convert alternative cosine distance to true angular distance. .. math:: D_{angular}(x, y) = 1 - \frac{\arccos(2^{-D_{alt}})}{\pi} """ return 1.0 - (np.arccos(pow(2.0, -d)) / np.pi) @numba.njit(fastmath=True) def correlation(x, y): r"""Correlation distance. One minus the Pearson correlation coefficient. Measures how linearly related two vectors are after centering (subtracting their means). .. math:: D(x, y) = 1 - \frac{\langle x - \bar{x}, y - \bar{y} \rangle}{\|x - \bar{x}\| \|y - \bar{y}\|} Equivalent to cosine distance on mean-centered data. """ mu_x = 0.0 mu_y = 0.0 norm_x = 0.0 norm_y = 0.0 dot_product = 0.0 for i in range(x.shape[0]): mu_x += x[i] mu_y += y[i] mu_x /= x.shape[0] mu_y /= x.shape[0] for i in range(x.shape[0]): shifted_x = x[i] - mu_x shifted_y = y[i] - mu_y norm_x += shifted_x**2 norm_y += shifted_y**2 dot_product += shifted_x * shifted_y if norm_x == 0.0 and norm_y == 0.0: return 0.0 elif dot_product == 0.0: return 1.0 else: return 1.0 - (dot_product / np.sqrt(norm_x * norm_y)) @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def hellinger(x, y): r"""Hellinger distance. A distance for probability distributions, based on the Bhattacharyya coefficient. Input vectors are treated as (unnormalized) probability distributions. .. math:: D(x, y) = \sqrt{1 - \frac{\sum_i \sqrt{x_i y_i}}{\sqrt{\sum_i x_i \cdot \sum_i y_i}}} Returns values in [0, 1]. """ result = 0.0 l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): result += np.sqrt(x[i] * y[i]) l1_norm_x += x[i] l1_norm_y += y[i] if l1_norm_x == 0 and l1_norm_y == 0: return 0.0 elif l1_norm_x == 0 or l1_norm_y == 0: return 1.0 else: return np.sqrt(1 - result / np.sqrt(l1_norm_x * l1_norm_y)) @numba.njit( [ "f4(f4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def alternative_hellinger(x, y): r"""Alternative Hellinger distance using log transform. A transformed version of Hellinger distance suitable for the bounded-radius search algorithm. .. math:: D_{alt}(x, y) = \log_2\left(\frac{\sqrt{\sum_i x_i \cdot \sum_i y_i}}{\sum_i \sqrt{x_i y_i}}\right) Use `correct_alternative_hellinger` to convert back to standard Hellinger distance. """ result = 0.0 l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): result += np.sqrt(x[i] * y[i]) l1_norm_x += x[i] l1_norm_y += y[i] if l1_norm_x == 0 and l1_norm_y == 0: return 0.0 elif l1_norm_x == 0 or l1_norm_y == 0: return FLOAT32_MAX elif result <= 0: return FLOAT32_MAX else: result = np.sqrt(l1_norm_x * l1_norm_y) / result return np.log2(result) @numba.vectorize(fastmath=True) def correct_alternative_hellinger(d): r"""Convert alternative Hellinger distance back to standard Hellinger distance. .. math:: D(x, y) = \sqrt{1 - 2^{-D_{alt}(x, y)}} """ return np.sqrt(1.0 - pow(2.0, -d)) @numba.njit() def rankdata(a, method="average"): arr = np.ravel(np.asarray(a)) if method == "ordinal": sorter = arr.argsort(kind="mergesort") else: sorter = arr.argsort(kind="quicksort") inv = np.empty(sorter.size, dtype=np.intp) inv[sorter] = np.arange(sorter.size) if method == "ordinal": return (inv + 1).astype(np.float64) arr = arr[sorter] obs = np.ones(arr.size, np.bool_) obs[1:] = arr[1:] != arr[:-1] dense = obs.cumsum()[inv] if method == "dense": return dense.astype(np.float64) # cumulative counts of each unique value nonzero = np.nonzero(obs)[0] count = np.concatenate((nonzero, np.array([len(obs)], nonzero.dtype))) if method == "max": return count[dense].astype(np.float64) if method == "min": return (count[dense - 1] + 1).astype(np.float64) # average method return 0.5 * (count[dense] + count[dense - 1] + 1) @numba.njit(fastmath=True) def spearmanr(x, y): r"""Spearman rank correlation distance. One minus the Spearman rank correlation coefficient. Measures the monotonic relationship between two vectors by computing correlation on their ranks. .. math:: D(x, y) = 1 - \rho(\text{rank}(x), \text{rank}(y)) where :math:`\rho` is Pearson correlation. """ x_rank = rankdata(x) y_rank = rankdata(y) return correlation(x_rank, y_rank) @numba.njit(nogil=True) def kantorovich(x, y, cost=_dummy_cost, max_iter=100000): r"""Kantorovich distance (Earth Mover's Distance / Wasserstein distance). The optimal transport distance between two probability distributions. Computes the minimum cost to transform one distribution into another, given a cost matrix. Parameters ---------- x, y : array-like Input vectors treated as probability distributions (will be normalized). cost : array-like Cost matrix where cost[i,j] is the cost of moving mass from bin i to bin j. max_iter : int Maximum number of iterations for the network simplex algorithm. Returns ------- float The optimal transport distance. """ row_mask = x != 0 col_mask = y != 0 a = x[row_mask].astype(np.float64) b = y[col_mask].astype(np.float64) a_sum = a.sum() b_sum = b.sum() # if not isclose(a_sum, b_sum): # raise ValueError( # "Kantorovich distance inputs must be valid probability distributions." # ) a /= a_sum b /= b_sum sub_cost = cost[row_mask, :][:, col_mask] node_arc_data, spanning_tree, graph = allocate_graph_structures( a.shape[0], b.shape[0], False ) initialize_supply(a, -b, graph, node_arc_data.supply) initialize_cost(sub_cost, graph, node_arc_data.cost) # initialize_cost(cost, graph, node_arc_data.cost) init_status = initialize_graph_structures(graph, node_arc_data, spanning_tree) if init_status == False: raise ValueError( "Kantorovich distance inputs must be valid probability distributions." ) solve_status = network_simplex_core(node_arc_data, spanning_tree, graph, max_iter) # if solve_status == ProblemStatus.MAX_ITER_REACHED: # print("WARNING: RESULT MIGHT BE INACCURATE\nMax number of iteration reached!") if solve_status == ProblemStatus.INFEASIBLE: raise ValueError( "Optimal transport problem was INFEASIBLE. Please check inputs." ) elif solve_status == ProblemStatus.UNBOUNDED: raise ValueError( "Optimal transport problem was UNBOUNDED. Please check inputs." ) result = total_cost(node_arc_data.flow, node_arc_data.cost) return result @numba.njit(fastmath=True) def sinkhorn(x, y, cost=_dummy_cost, regularization=1.0): r"""Sinkhorn distance (entropy-regularized optimal transport). An approximation to the Kantorovich distance using entropy regularization. Faster to compute than exact optimal transport for large distributions. Parameters ---------- x, y : array-like Input vectors treated as probability distributions (will be normalized). cost : array-like Cost matrix where cost[i,j] is the cost of moving mass from bin i to bin j. regularization : float Entropy regularization parameter. Smaller values give results closer to exact Kantorovich distance but may be less stable. Returns ------- float The entropy-regularized optimal transport distance. """ row_mask = x != 0 col_mask = y != 0 a = x[row_mask].astype(np.float64) b = y[col_mask].astype(np.float64) a_sum = a.sum() b_sum = b.sum() a /= a_sum b /= b_sum sub_cost = cost[row_mask, :][:, col_mask] transport_plan = sinkhorn_transport_plan( x, y, cost=sub_cost, regularization=regularization ) dim_i = transport_plan.shape[0] dim_j = transport_plan.shape[1] result = 0.0 for i in range(dim_i): for j in range(dim_j): result += transport_plan[i, j] * cost[i, j] return result @numba.njit() def jensen_shannon_divergence(x, y): r"""Jensen-Shannon divergence. A symmetrized and smoothed version of KL divergence. Measures the similarity between two probability distributions. .. math:: D(x, y) = \frac{1}{2} \left( D_{KL}(x \| m) + D_{KL}(y \| m) \right) where :math:`m = \frac{1}{2}(x + y)` and :math:`D_{KL}` is KL divergence. Input vectors are normalized to probability distributions. """ result = 0.0 l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): l1_norm_x += x[i] l1_norm_y += y[i] l1_norm_x += FLOAT32_EPS * dim l1_norm_y += FLOAT32_EPS * dim pdf_x = (x + FLOAT32_EPS) / l1_norm_x pdf_y = (y + FLOAT32_EPS) / l1_norm_y m = 0.5 * (pdf_x + pdf_y) for i in range(dim): result += 0.5 * ( pdf_x[i] * np.log(pdf_x[i] / m[i]) + pdf_y[i] * np.log(pdf_y[i] / m[i]) ) return result @numba.njit() def wasserstein_1d(x, y, p=1): r"""1-dimensional Wasserstein distance. The p-Wasserstein distance for 1D distributions, computed efficiently via the CDF. Input vectors are treated as histograms over ordered bins. .. math:: W_p(x, y) = \left( \sum_i |F_x(i) - F_y(i)|^p \right)^{1/p} where :math:`F_x, F_y` are the cumulative distribution functions. Parameters ---------- x, y : array-like Input vectors treated as probability distributions (will be normalized). p : int The order of the Wasserstein distance (default 1). """ x_sum = 0.0 y_sum = 0.0 for i in range(x.shape[0]): x_sum += x[i] y_sum += y[i] x_cdf = x / x_sum y_cdf = y / y_sum for i in range(1, x_cdf.shape[0]): x_cdf[i] += x_cdf[i - 1] y_cdf[i] += y_cdf[i - 1] return minkowski(x_cdf, y_cdf, p) @numba.njit() def circular_kantorovich(x, y, p=1): r"""Circular Kantorovich distance. The Wasserstein distance for distributions on a circle (periodic domain). Useful for cyclic data like angles, time of day, or periodic histograms. Parameters ---------- x, y : array-like Input vectors treated as probability distributions (will be normalized). p : int The order of the Wasserstein distance (default 1). """ x_sum = 0.0 y_sum = 0.0 for i in range(x.shape[0]): x_sum += x[i] y_sum += y[i] x_cdf = x / x_sum y_cdf = y / y_sum for i in range(1, x_cdf.shape[0]): x_cdf[i] += x_cdf[i - 1] y_cdf[i] += y_cdf[i - 1] mu = np.median((x_cdf - y_cdf) ** p) # Now we just want minkowski distance on the CDFs shifted by mu result = 0.0 if p > 2: for i in range(x_cdf.shape[0]): result += np.abs(x_cdf[i] - y_cdf[i] - mu) ** p return result ** (1.0 / p) elif p == 2: for i in range(x_cdf.shape[0]): val = x_cdf[i] - y_cdf[i] - mu result += val * val return np.sqrt(result) elif p == 1: for i in range(x_cdf.shape[0]): result += np.abs(x_cdf[i] - y_cdf[i] - mu) return result else: raise ValueError("Invalid p supplied to Kantorvich distance") @numba.njit() def symmetric_kl_divergence(x, y): r"""Symmetric Kullback-Leibler divergence. The sum of KL divergences in both directions, making it symmetric. .. math:: D(x, y) = D_{KL}(x \| y) + D_{KL}(y \| x) where :math:`D_{KL}(p \| q) = \sum_i p_i \log(p_i / q_i)`. Input vectors are normalized to probability distributions. """ result = 0.0 l1_norm_x = 0.0 l1_norm_y = 0.0 dim = x.shape[0] for i in range(dim): l1_norm_x += x[i] l1_norm_y += y[i] l1_norm_x += FLOAT32_EPS * dim l1_norm_y += FLOAT32_EPS * dim pdf_x = (x + FLOAT32_EPS) / l1_norm_x pdf_y = (y + FLOAT32_EPS) / l1_norm_y for i in range(dim): result += pdf_x[i] * np.log(pdf_x[i] / pdf_y[i]) + pdf_y[i] * np.log( pdf_y[i] / pdf_x[i] ) return result @numba.njit( [ "f4(u1[::1],u1[::1])", numba.types.float32( numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 1, "C", readonly=True), ), ], fastmath=True, nogil=True, boundscheck=False, locals={ "result": numba.types.int32, "intersection": numba.types.uint8, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def bit_hamming(x, y): r"""Hamming distance for bit-packed binary vectors. Counts the number of differing bits between two uint8 arrays, where each byte contains 8 packed binary features. More efficient than standard Hamming for binary data. .. math:: D(x, y) = \sum_i \text{popcount}(x_i \oplus y_i) Returns the total count of differing bits (not normalized). """ result = 0 dim = x.shape[0] for i in range(dim): intersection = x[i] ^ y[i] result += popcnt_u8(intersection) return np.float32(result) @numba.njit( [ "f4(u1[::1],u1[::1])", numba.types.float32( numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 1, "C", readonly=True), ), ], fastmath=True, nogil=True, boundscheck=False, locals={ "result": numba.types.int32, "denom": numba.types.int32, "and_": numba.types.uint8, "or_": numba.types.uint8, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def bit_jaccard(x, y): r"""Jaccard distance for bit-packed binary vectors. Computes Jaccard distance for uint8 arrays where each byte contains 8 packed binary features. Uses negative log transform for compatibility with the bounded-radius search algorithm. .. math:: D(x, y) = -\log\left(\frac{\text{popcount}(x \land y)}{\text{popcount}(x \lor y)}\right) More efficient than standard Jaccard for binary data. """ result = 0 denom = 0 dim = x.shape[0] for i in range(dim): and_ = x[i] & y[i] or_ = x[i] | y[i] result += popcnt_u8(and_) denom += popcnt_u8(or_) if denom == 0: return 0.0 else: return -np.log(np.float32(result) / np.float32(denom)) @numba.njit( [ "f4(f4[::1],u1[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, nogil=True, boundscheck=False, locals={ "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, "y_i": numba.types.float32, }, ) def quantized_uint8_sq_euclidean(x, y, quantized_values): r"""Squared Euclidean distance between a float vector ``x`` and a quantized uint8 vector ``y``. The uint8 values in ``y`` are mapped back to floats using the provided ``quantized_values`` array. """ result = 0.0 dim = x.shape[0] for i in range(dim): y_i = quantized_values[y[i]] diff = x[i] - y_i result += diff * diff return result @numba.njit( [ "f4(f4[::1],u1[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, nogil=True, boundscheck=False, locals={ "result": numba.types.float32, "norm_x": numba.types.float32, "norm_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def quantized_uint8_alternative_cosine(x, y, quantized_values): r"""Alternative cosine distance between a float vector ``x`` and a quantized uint8 vector ``y``. The uint8 values in ``y`` are mapped back to floats using the provided ``quantized_values`` array. """ result = 0.0 norm_x = 0.0 norm_y = 0.0 dim = x.shape[0] for i in range(dim): qy = quantized_values[y[i]] result += x[i] * qy norm_x += x[i] * x[i] norm_y += qy * qy if norm_x == 0.0 and norm_y == 0.0: return 0.0 elif norm_x == 0.0 or norm_y == 0.0: return FLOAT32_MAX elif result <= 0.0: return FLOAT32_MAX else: result = result / np.sqrt(norm_x * norm_y) return -np.log2((result + 1.0) / 2.0) @numba.njit( [ "f4(f4[::1],u1[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def quantized_uint8_alternative_dot(x, y, quantized_values): r"""Alternative dot product distance between a float vector ``x`` and a quantized uint8 vector ``y``. The uint8 values in ``y`` are mapped back to floats using the provided ``quantized_values`` array. x and y are assumed to be normalized. """ result = 0.0 dim = x.shape[0] norm_y = 0.0 for i in range(dim): qy = quantized_values[y[i]] result += x[i] * qy norm_y += qy * qy if result <= 0.0: return FLOAT32_MAX else: return -np.log2(result / np.sqrt(norm_y)) @numba.njit( [ "f4(f4[::1],u1[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "quantized_index": numba.types.uint8, "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def quantized_uint4_sq_euclidean(x, y, quantized_values): r"""Squared Euclidean distance between a float vector ``x`` and a quantized uint8 vector ``y``. The uint8 values in ``y`` are mapped back to floats using upper and lower nibbles and via the provided ``quantized_values`` array. """ result = 0.0 dim = x.shape[0] for i in range(dim): byte = y[i // 2] if i % 2 == 0: quantized_index = byte & 0x0F # Lower 4 bits else: quantized_index = (byte >> 4) & 0x0F # Upper 4 bits diff = x[i] - quantized_values[quantized_index] result += diff * diff return result @numba.njit( [ "f4(f4[::1],u1[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "quantized_index": numba.types.uint8, "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def quantized_uint4_alternative_cosine(x, y, quantized_values): r"""Alternative cosine distance between a float vector ``x`` and a quantized uint8 vector ``y``. The uint8 values in ``y`` are mapped back to floats using upper and lower nibbles and via the provided ``quantized_values`` array. """ result = 0.0 norm_x = 0.0 norm_y = 0.0 dim = x.shape[0] for i in range(dim): byte = y[i // 2] if i % 2 == 0: quantized_index = byte & 0x0F # Lower 4 bits else: quantized_index = (byte >> 4) & 0x0F # Upper 4 bits qy = quantized_values[quantized_index] result += x[i] * qy norm_x += x[i] * x[i] norm_y += qy * qy if norm_x == 0.0 and norm_y == 0.0: return 0.0 elif norm_x == 0.0 or norm_y == 0.0: return FLOAT32_MAX elif result <= 0.0: return FLOAT32_MAX else: result = result / np.sqrt(norm_x * norm_y) return -np.log2((result + 1.0) / 2.0) @numba.njit( [ "f4(f4[::1],u1[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "quantized_index": numba.types.uint8, "result": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def quantized_uint4_alternative_dot(x, y, quantized_values): r"""Alternative dot product distance between a float vector ``x`` and a quantized uint8 vector ``y``. The uint8 values in ``y`` are mapped back to floats using upper and lower nibbles and via the provided ``quantized_values`` array. x and y are assumed to be normalized. """ result = 0.0 dim = x.shape[0] norm_y = 0.0 for i in range(dim): byte = y[i // 2] if i % 2 == 0: quantized_index = byte & 0x0F # Lower 4 bits else: quantized_index = (byte >> 4) & 0x0F # Upper 4 bits qy = quantized_values[quantized_index] result += x[i] * qy norm_y += qy * qy if result <= 0.0: return FLOAT32_MAX else: return -np.log2(result / np.sqrt(norm_y)) named_distances = { # general minkowski distances "euclidean": euclidean, "l2": euclidean, "sqeuclidean": squared_euclidean, "manhattan": manhattan, "taxicab": manhattan, "l1": manhattan, "chebyshev": chebyshev, "linfinity": chebyshev, "linfty": chebyshev, "linf": chebyshev, "minkowski": minkowski, # Standardised/weighted distances "seuclidean": standardised_euclidean, "standardised_euclidean": standardised_euclidean, "wminkowski": weighted_minkowski, "weighted_minkowski": weighted_minkowski, "mahalanobis": mahalanobis, # Other distances "canberra": canberra, "cosine": cosine, "dot": dot, "inner_product": inner_product, "correlation": correlation, "haversine": haversine, "braycurtis": bray_curtis, "spearmanr": spearmanr, "tsss": tsss, "true_angular": true_angular, # Distribution distances "hellinger": hellinger, "kantorovich": kantorovich, "wasserstein": kantorovich, "wasserstein_1d": wasserstein_1d, "wasserstein-1d": wasserstein_1d, "kantorovich-1d": wasserstein_1d, "kantorovich_1d": wasserstein_1d, "circular_kantorovich": circular_kantorovich, "circular_wasserstein": circular_kantorovich, "sinkhorn": sinkhorn, "jensen-shannon": jensen_shannon_divergence, "jensen_shannon": jensen_shannon_divergence, "symmetric-kl": symmetric_kl_divergence, "symmetric_kl": symmetric_kl_divergence, "symmetric_kullback_liebler": symmetric_kl_divergence, # Binary distances "hamming": hamming, "jaccard": jaccard, "dice": dice, "matching": matching, "kulsinski": kulsinski, "rogerstanimoto": rogers_tanimoto, "russellrao": russellrao, "sokalsneath": sokal_sneath, "sokalmichener": sokal_michener, "yule": yule, "bit_hamming": bit_hamming, "bit_jaccard": bit_jaccard, } # Some distances have a faster to compute alternative that # retains the same ordering of distances. We can compute with # this instead, and then correct the final distances when complete. # This provides a list of distances that have such an alternative # along with the alternative distance function and the correction # function to be applied. fast_distance_alternatives = { "euclidean": {"dist": squared_euclidean, "correction": np.sqrt}, "l2": {"dist": squared_euclidean, "correction": np.sqrt}, "cosine": {"dist": alternative_cosine, "correction": correct_alternative_cosine}, "dot": {"dist": alternative_dot, "correction": correct_alternative_cosine}, "inner_product": { "dist": alternative_inner_product, "correction": correct_alternative_inner_product, }, "true_angular": { "dist": alternative_cosine, "correction": true_angular_from_alt_cosine, }, "hellinger": { "dist": alternative_hellinger, "correction": correct_alternative_hellinger, }, "jaccard": {"dist": alternative_jaccard, "correction": correct_alternative_jaccard}, } proxy_distances = { "proxy_inner_product": { "proxy_dist": proxy_inner_product, "true_dist": inner_product, }, "proxy_wasserstein_1d": { "proxy_dist": proxy_wasserstein_1d, "true_dist": wasserstein_1d, }, "proxy_wasserstein-1d": { "proxy_dist": proxy_wasserstein_1d, "true_dist": wasserstein_1d, }, "proxy_kantorovich": { "proxy_dist": proxy_kantorovich, "true_dist": kantorovich, }, "proxy_wasserstein": { "proxy_dist": proxy_kantorovich, "true_dist": kantorovich, }, "proxy_circular_kantorovich": { "proxy_dist": proxy_circular_kantorovich, "true_dist": circular_kantorovich, }, "proxy_circular_wasserstein": { "proxy_dist": proxy_circular_kantorovich, "true_dist": circular_kantorovich, }, "proxy_jensen_shannon": { "proxy_dist": proxy_jensen_shannon, "true_dist": jensen_shannon_divergence, }, "proxy_jensen-shannon": { "proxy_dist": proxy_jensen_shannon, "true_dist": jensen_shannon_divergence, }, "proxy_symmetric_kl": { "proxy_dist": proxy_symmetric_kl, "true_dist": symmetric_kl_divergence, }, "proxy_symmetric-kl": { "proxy_dist": proxy_symmetric_kl, "true_dist": symmetric_kl_divergence, }, "proxy_sinkhorn": { "proxy_dist": proxy_sinkhorn, "true_dist": sinkhorn, }, } quantized_distances = { "binary": { "euclidean": bit_hamming, "l2": bit_hamming, "cosine": bit_jaccard, "dot": bit_jaccard, "hamming": bit_hamming, "jaccard": bit_jaccard, }, "uint8": { "euclidean": quantized_uint8_sq_euclidean, "l2": quantized_uint8_sq_euclidean, "cosine": quantized_uint8_alternative_cosine, "dot": quantized_uint8_alternative_dot, }, "uint4": { "euclidean": quantized_uint4_sq_euclidean, "l2": quantized_uint4_sq_euclidean, "cosine": quantized_uint4_alternative_cosine, "dot": quantized_uint4_alternative_dot, }, } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/graph_utils.py0000644000175100017510000001673015130020663020121 0ustar00vstsvstsimport numba import numpy as np import heapq from scipy.sparse import coo_matrix from scipy.sparse.csgraph import connected_components from itertools import combinations import pynndescent.distances as pynnd_dist import joblib from pynndescent.utils import ( rejection_sample, make_heap, deheap_sort, simple_heap_push, has_been_visited, mark_visited, ) FLOAT32_EPS = np.finfo(np.float32).eps def create_component_search(index): alternative_dot = pynnd_dist.alternative_dot alternative_cosine = pynnd_dist.alternative_cosine data = index._raw_data indptr = index._search_graph.indptr indices = index._search_graph.indices dist = index._distance_func @numba.njit( fastmath=True, nogil=True, locals={ "current_query": numba.types.float32[::1], "i": numba.types.uint32, "j": numba.types.uint32, "heap_priorities": numba.types.float32[::1], "heap_indices": numba.types.int32[::1], "candidate": numba.types.int32, "vertex": numba.types.int32, "d": numba.types.float32, "d_vertex": numba.types.float32, "visited": numba.types.uint8[::1], "indices": numba.types.int32[::1], "indptr": numba.types.int32[::1], "data": numba.types.float32[:, ::1], "heap_size": numba.types.int16, "distance_scale": numba.types.float32, "distance_bound": numba.types.float32, "seed_scale": numba.types.float32, }, ) def custom_search_closure(query_points, candidate_indices, k, epsilon, visited): result = make_heap(query_points.shape[0], k) distance_scale = 1.0 + epsilon for i in range(query_points.shape[0]): visited[:] = 0 if dist == alternative_dot or dist == alternative_cosine: norm = np.sqrt((query_points[i] ** 2).sum()) if norm > 0.0: current_query = query_points[i] / norm else: continue else: current_query = query_points[i] heap_priorities = result[1][i] heap_indices = result[0][i] seed_set = [(np.float32(np.inf), np.int32(-1)) for j in range(0)] ############ Init ################ n_initial_points = candidate_indices.shape[0] for j in range(n_initial_points): candidate = np.int32(candidate_indices[j]) d = dist(data[candidate], current_query) # indices are guaranteed different simple_heap_push(heap_priorities, heap_indices, d, candidate) heapq.heappush(seed_set, (d, candidate)) mark_visited(visited, candidate) ############ Search ############## distance_bound = distance_scale * heap_priorities[0] # Find smallest seed point d_vertex, vertex = heapq.heappop(seed_set) while d_vertex < distance_bound: for j in range(indptr[vertex], indptr[vertex + 1]): candidate = indices[j] if has_been_visited(visited, candidate) == 0: mark_visited(visited, candidate) d = dist(data[candidate], current_query) if d < distance_bound: simple_heap_push( heap_priorities, heap_indices, d, candidate ) heapq.heappush(seed_set, (d, candidate)) # Update bound distance_bound = distance_scale * heap_priorities[0] # find new smallest seed point if len(seed_set) == 0: break else: d_vertex, vertex = heapq.heappop(seed_set) return result return custom_search_closure # @numba.njit(nogil=True) def find_component_connection_edge( component1, component2, search_closure, raw_data, visited, rng_state, search_size=10, epsilon=0.0, ): indices = [np.zeros(1, dtype=np.int64) for i in range(2)] indices[0] = component1[ rejection_sample(np.int64(search_size), component1.shape[0], rng_state) ] indices[1] = component2[ rejection_sample(np.int64(search_size), component2.shape[0], rng_state) ] query_side = 0 query_points = raw_data[indices[query_side]] candidate_indices = indices[1 - query_side].copy() changed = [True, True] best_dist = np.inf best_edge = (indices[0][0], indices[1][0]) while changed[0] or changed[1]: inds, dists, _ = search_closure( query_points, candidate_indices, search_size, epsilon, visited ) inds, dists = deheap_sort(inds, dists) for i in range(dists.shape[0]): for j in range(dists.shape[1]): if dists[i, j] < best_dist: best_dist = dists[i, j] best_edge = (indices[query_side][i], inds[i, j]) candidate_indices = indices[query_side] new_indices = np.unique(inds[:, 0]) if indices[1 - query_side].shape[0] == new_indices.shape[0]: changed[1 - query_side] = np.any(indices[1 - query_side] != new_indices) indices[1 - query_side] = new_indices query_points = raw_data[indices[1 - query_side]] query_side = 1 - query_side return best_edge[0], best_edge[1], best_dist def adjacency_matrix_representation(neighbor_indices, neighbor_distances): result = coo_matrix( (neighbor_indices.shape[0], neighbor_indices.shape[0]), dtype=np.float32 ) # Preserve any distance 0 points neighbor_distances[neighbor_distances == 0.0] = FLOAT32_EPS result.row = np.repeat( np.arange(neighbor_indices.shape[0], dtype=np.int32), neighbor_indices.shape[1] ) result.col = neighbor_indices.ravel() result.data = neighbor_distances.ravel() # Get rid of any -1 index entries result = result.tocsr() result.data[result.indices == -1] = 0.0 result.eliminate_zeros() # Symmetrize result = result.maximum(result.T) return result def connect_graph(graph, index, search_size=10, n_jobs=None): search_closure = create_component_search(index) n_components, component_ids = connected_components(graph) result = graph.tolil() # Translate component ids into internal vertex order component_ids = component_ids[index._vertex_order] def new_edge(c1, c2): component1 = np.where(component_ids == c1)[0] component2 = np.where(component_ids == c2)[0] i, j, d = find_component_connection_edge( component1, component2, search_closure, index._raw_data, index._visited, index.rng_state, search_size=search_size, ) # Correct the distance if required if index._distance_correction is not None: d = index._distance_correction(d) # Convert indices to original data order i = index._vertex_order[i] j = index._vertex_order[j] return i, j, d new_edges = joblib.Parallel(n_jobs=n_jobs, prefer="threads")( joblib.delayed(new_edge)(c1, c2) for c1, c2 in combinations(range(n_components), 2) ) for i, j, d in new_edges: result[i, j] = d result[j, i] = d return result.tocsr() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/optimal_transport.py0000644000175100017510000010144315130020663021355 0ustar00vstsvsts############################################################################# # This code draws from the Python Optimal Transport version of the # network simplex algorithm, which in turn was adapted from the LEMON # library. The copyrights/comment blocks for those are preserved below. # The Python/Numba implementation was adapted by Leland McInnes (2020). # # * This file has been adapted by Nicolas Bonneel (2013), # * from network_simplex.h from LEMON, a generic C++ optimization library, # * to implement a lightweight network simplex for mass transport, more # * memory efficient that the original file. A previous version of this file # * is used as part of the Displacement Interpolation project, # * Web: http://www.cs.ubc.ca/labs/imager/tr/2011/DisplacementInterpolation/ # * # * # **** Original file Copyright Notice : # * # * Copyright (C) 2003-2010 # * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport # * (Egervary Research Group on Combinatorial Optimization, EGRES). # * # * Permission to use, modify and distribute this software is granted # * provided that this copyright notice appears in all copies. For # * precise terms see the accompanying LICENSE file. # * # * This software is provided "AS IS" with no warranty of any kind, # * express or implied, and with no claim as to its suitability for any # * purpose. import numpy as np import numba from collections import namedtuple from enum import Enum, IntEnum _mock_identity = np.eye(2, dtype=np.float32) _mock_ones = np.ones(2, dtype=np.float32) _dummy_cost = np.zeros((2, 2), dtype=np.float64) # Accuracy tolerance and net supply tolerance EPSILON = 2.2204460492503131e-15 NET_SUPPLY_ERROR_TOLERANCE = 1e-8 ## Defaults to double for everythig in POT INFINITY = np.finfo(np.float64).max MAX = np.finfo(np.float64).max dummy_cost = np.zeros((2, 2), dtype=np.float64) # Invalid Arc num INVALID = -1 # Problem Status class ProblemStatus(Enum): OPTIMAL = 0 MAX_ITER_REACHED = 1 UNBOUNDED = 2 INFEASIBLE = 3 # Arc States class ArcState(IntEnum): STATE_UPPER = -1 STATE_TREE = 0 STATE_LOWER = 1 SpanningTree = namedtuple( "SpanningTree", [ "parent", # int array "pred", # int array "thread", # int array "rev_thread", # int array "succ_num", # int array "last_succ", # int array "forward", # bool array "state", # state array "root", # int ], ) DiGraph = namedtuple( "DiGraph", [ "n_nodes", # int "n_arcs", # int "n", # int "m", # int "use_arc_mixing", # bool "num_total_big_subsequence_numbers", # int "subsequence_length", # int "num_big_subsequences", # int "mixing_coeff", ], ) NodeArcData = namedtuple( "NodeArcData", [ "cost", # double array "supply", # double array "flow", # double array "pi", # double array "source", # unsigned int array "target", # unsigned int array ], ) LeavingArcData = namedtuple( "LeavingArcData", ["u_in", "u_out", "v_in", "delta", "change"] ) # Just reproduce a simpler version of numpy isclose (not numba supported yet) @numba.njit() def isclose(a, b, rtol=1.0e-5, atol=EPSILON): diff = np.abs(a - b) return diff <= (atol + rtol * np.abs(b)) # locals: c, min, e, cnt, a # modifies _in_arc, _next_arc, @numba.njit(locals={"a": numba.uint32, "e": numba.uint32}) def find_entering_arc( pivot_block_size, pivot_next_arc, search_arc_num, state_vector, node_arc_data, in_arc, ): min = 0 cnt = pivot_block_size # Pull from tuple for quick reference cost = node_arc_data.cost pi = node_arc_data.pi source = node_arc_data.source target = node_arc_data.target for e in range(pivot_next_arc, search_arc_num): c = state_vector[e] * (cost[e] + pi[source[e]] - pi[target[e]]) if c < min: min = c in_arc = e cnt -= 1 if cnt == 0: if np.fabs(pi[source[in_arc]]) > np.fabs(pi[target[in_arc]]): a = np.fabs(pi[source[in_arc]]) else: a = np.fabs(pi[target[in_arc]]) if a <= np.fabs(cost[in_arc]): a = np.fabs(cost[in_arc]) if min < -(EPSILON * a): pivot_next_arc = e return in_arc, pivot_next_arc else: cnt = pivot_block_size for e in range(pivot_next_arc): c = state_vector[e] * (cost[e] + pi[source[e]] - pi[target[e]]) if c < min: min = c in_arc = e cnt -= 1 if cnt == 0: if np.fabs(pi[source[in_arc]]) > np.fabs(pi[target[in_arc]]): a = np.fabs(pi[source[in_arc]]) else: a = np.fabs(pi[target[in_arc]]) if a <= np.fabs(cost[in_arc]): a = np.fabs(cost[in_arc]) if min < -(EPSILON * a): pivot_next_arc = e return in_arc, pivot_next_arc else: cnt = pivot_block_size # assert(pivot_block.next_arc[0] == 0 or e == pivot_block.next_arc[0] - 1) if np.fabs(pi[source[in_arc]]) > np.fabs(pi[target[in_arc]]): a = np.fabs(pi[source[in_arc]]) else: a = np.fabs(pi[target[in_arc]]) if a <= np.fabs(cost[in_arc]): a = np.fabs(cost[in_arc]) if min >= -(EPSILON * a): return -1, 0 return in_arc, pivot_next_arc # Find the join node # Operates with graph (_source, _target) and MST (_succ_num, _parent, in_arc) data # locals: u, v # modifies: join @numba.njit(locals={"u": numba.types.uint16, "v": numba.types.uint16}) def find_join_node(source, target, succ_num, parent, in_arc): u = source[in_arc] v = target[in_arc] while u != v: if succ_num[u] < succ_num[v]: u = parent[u] else: v = parent[v] join = u return join # Find the leaving arc of the cycle and returns true if the # leaving arc is not the same as the entering arc # locals: first, second, result, d, e # modifies: u_in, v_in, u_out, delta @numba.njit( locals={ "u": numba.uint16, "u_in": numba.uint16, "u_out": numba.uint16, "v_in": numba.uint16, "first": numba.uint16, "second": numba.uint16, "result": numba.uint8, "in_arc": numba.uint32, } ) def find_leaving_arc(join, in_arc, node_arc_data, spanning_tree): source = node_arc_data.source target = node_arc_data.target flow = node_arc_data.flow state = spanning_tree.state forward = spanning_tree.forward pred = spanning_tree.pred parent = spanning_tree.parent u_out = -1 # May not be set, but we need to return something? # Initialize first and second nodes according to the direction # of the cycle if state[in_arc] == ArcState.STATE_LOWER: first = source[in_arc] second = target[in_arc] else: first = target[in_arc] second = source[in_arc] delta = INFINITY result = 0 # Search the cycle along the path form the first node to the root u = first while u != join: e = pred[u] if forward[u]: d = flow[e] else: d = INFINITY if d < delta: delta = d u_out = u result = 1 u = parent[u] # Search the cycle along the path form the second node to the root u = second while u != join: e = pred[u] if forward[u]: d = INFINITY else: d = flow[e] if d <= delta: delta = d u_out = u result = 2 u = parent[u] if result == 1: u_in = first v_in = second else: u_in = second v_in = first return LeavingArcData(u_in, u_out, v_in, delta, result != 0) # Change _flow and _state vectors # locals: val, u # modifies: _state, _flow @numba.njit(locals={"u": numba.uint16, "in_arc": numba.uint32, "val": numba.float64}) def update_flow(join, leaving_arc_data, node_arc_data, spanning_tree, in_arc): source = node_arc_data.source target = node_arc_data.target flow = node_arc_data.flow state = spanning_tree.state pred = spanning_tree.pred parent = spanning_tree.parent forward = spanning_tree.forward # Augment along the cycle if leaving_arc_data.delta > 0: val = state[in_arc] * leaving_arc_data.delta flow[in_arc] += val u = source[in_arc] while u != join: if forward[u]: flow[pred[u]] -= val else: flow[pred[u]] += val u = parent[u] u = target[in_arc] while u != join: if forward[u]: flow[pred[u]] += val else: flow[pred[u]] -= val u = parent[u] # Update the state of the entering and leaving arcs if leaving_arc_data.change: state[in_arc] = ArcState.STATE_TREE if flow[pred[leaving_arc_data.u_out]] == 0: state[pred[leaving_arc_data.u_out]] = ArcState.STATE_LOWER else: state[pred[leaving_arc_data.u_out]] = ArcState.STATE_UPPER else: state[in_arc] = -state[in_arc] # Update the tree structure # locals: u, w, old_rev_thread, old_succ_num, old_last_succ, tmp_sc, tmp_ls # more locals: up_limit_in, up_limit_out, _dirty_revs # modifies: v_out, _thread, _rev_thread, _parent, _last_succ, # modifies: _pred, _forward, _succ_num @numba.njit( locals={ "u": numba.int32, "w": numba.int32, "u_in": numba.uint16, "u_out": numba.uint16, "v_in": numba.uint16, "right": numba.uint16, "stem": numba.uint16, "new_stem": numba.uint16, "par_stem": numba.uint16, "in_arc": numba.uint32, } ) def update_spanning_tree(spanning_tree, leaving_arc_data, join, in_arc, source): parent = spanning_tree.parent thread = spanning_tree.thread rev_thread = spanning_tree.rev_thread succ_num = spanning_tree.succ_num last_succ = spanning_tree.last_succ forward = spanning_tree.forward pred = spanning_tree.pred u_out = leaving_arc_data.u_out u_in = leaving_arc_data.u_in v_in = leaving_arc_data.v_in old_rev_thread = rev_thread[u_out] old_succ_num = succ_num[u_out] old_last_succ = last_succ[u_out] v_out = parent[u_out] u = last_succ[u_in] # the last successor of u_in right = thread[u] # the node after it # Handle the case when old_rev_thread equals to v_in # (it also means that join and v_out coincide) if old_rev_thread == v_in: last = thread[last_succ[u_out]] else: last = thread[v_in] # Update _thread and _parent along the stem nodes (i.e. the nodes # between u_in and u_out, whose parent have to be changed) thread[v_in] = stem = u_in dirty_revs = [] dirty_revs.append(v_in) par_stem = v_in while stem != u_out: # Insert the next stem node into the thread list new_stem = parent[stem] thread[u] = new_stem dirty_revs.append(u) # Remove the subtree of stem from the thread list w = rev_thread[stem] thread[w] = right rev_thread[right] = w # Change the parent node and shift stem nodes parent[stem] = par_stem par_stem = stem stem = new_stem # Update u and right if last_succ[stem] == last_succ[par_stem]: u = rev_thread[par_stem] else: u = last_succ[stem] right = thread[u] parent[u_out] = par_stem thread[u] = last rev_thread[last] = u last_succ[u_out] = u # Remove the subtree of u_out from the thread list except for # the case when old_rev_thread equals to v_in # (it also means that join and v_out coincide) if old_rev_thread != v_in: thread[old_rev_thread] = right rev_thread[right] = old_rev_thread # Update _rev_thread using the new _thread values for i in range(len(dirty_revs)): u = dirty_revs[i] rev_thread[thread[u]] = u # Update _pred, _forward, _last_succ and _succ_num for the # stem nodes from u_out to u_in tmp_sc = 0 tmp_ls = last_succ[u_out] u = u_out while u != u_in: w = parent[u] pred[u] = pred[w] forward[u] = not forward[w] tmp_sc += succ_num[u] - succ_num[w] succ_num[u] = tmp_sc last_succ[w] = tmp_ls u = w pred[u_in] = in_arc forward[u_in] = u_in == source[in_arc] succ_num[u_in] = old_succ_num # Set limits for updating _last_succ form v_in and v_out # towards the root up_limit_in = -1 up_limit_out = -1 if last_succ[join] == v_in: up_limit_out = join else: up_limit_in = join # Update _last_succ from v_in towards the root u = v_in while u != up_limit_in and last_succ[u] == v_in: last_succ[u] = last_succ[u_out] u = parent[u] # Update _last_succ from v_out towards the root if join != old_rev_thread and v_in != old_rev_thread: u = v_out while u != up_limit_out and last_succ[u] == old_last_succ: last_succ[u] = old_rev_thread u = parent[u] else: u = v_out while u != up_limit_out and last_succ[u] == old_last_succ: last_succ[u] = last_succ[u_out] u = parent[u] # Update _succ_num from v_in to join u = v_in while u != join: succ_num[u] += old_succ_num u = parent[u] # Update _succ_num from v_out to join u = v_out while u != join: succ_num[u] -= old_succ_num u = parent[u] # Update potentials # locals: sigma, end # modifies: _pi @numba.njit( fastmath=True, inline="always", locals={"u": numba.uint16, "u_in": numba.uint16, "v_in": numba.uint16}, ) def update_potential(leaving_arc_data, pi, cost, spanning_tree): thread = spanning_tree.thread pred = spanning_tree.pred forward = spanning_tree.forward last_succ = spanning_tree.last_succ u_in = leaving_arc_data.u_in v_in = leaving_arc_data.v_in if forward[u_in]: sigma = pi[v_in] - pi[u_in] - cost[pred[u_in]] else: sigma = pi[v_in] - pi[u_in] + cost[pred[u_in]] # Update potentials in the subtree, which has been moved end = thread[last_succ[u_in]] u = u_in while u != end: pi[u] += sigma u = thread[u] # If we have mixed arcs (for better random access) # we need a more complicated function to get the ID of a given arc @numba.njit() def arc_id(arc, graph): k = graph.n_arcs - arc - 1 if graph.use_arc_mixing: smallv = (k > graph.num_total_big_subsequence_numbers) & 1 k -= graph.num_total_big_subsequence_numbers * smallv subsequence_length2 = graph.subsequence_length - smallv subsequence_num = ( k // subsequence_length2 ) + graph.num_big_subsequences * smallv subsequence_offset = (k % subsequence_length2) * graph.mixing_coeff return subsequence_offset + subsequence_num else: return k # Heuristic initial pivots # locals: curr, total, supply_nodes, demand_nodes, u # modifies: @numba.njit(locals={"i": numba.uint16}) def construct_initial_pivots(graph, node_arc_data, spanning_tree): cost = node_arc_data.cost pi = node_arc_data.pi source = node_arc_data.source target = node_arc_data.target supply = node_arc_data.supply n1 = graph.n n2 = graph.m n_nodes = graph.n_nodes n_arcs = graph.n_arcs state = spanning_tree.state total = 0 supply_nodes = [] demand_nodes = [] for u in range(n_nodes): curr = supply[n_nodes - u - 1] # _node_id(u) if curr > 0: total += curr supply_nodes.append(u) elif curr < 0: demand_nodes.append(u) arc_vector = [] if len(supply_nodes) == 1 and len(demand_nodes) == 1: # Perform a reverse graph search from the sink to the source reached = np.zeros(n_nodes, dtype=np.bool_) s = supply_nodes[0] t = demand_nodes[0] stack = [] reached[t] = True stack.append(t) while len(stack) > 0: u = stack[-1] v = stack[-1] stack.pop(-1) if v == s: break first_arc = n_arcs + v - n_nodes if v >= n1 else -1 for a in range(first_arc, -1, -n2): u = a // n2 if reached[u]: continue j = arc_id(a, graph) if INFINITY >= total: arc_vector.append(j) reached[u] = True stack.append(u) else: # Find the min. cost incomming arc for each demand node for i in range(len(demand_nodes)): v = demand_nodes[i] c = MAX min_cost = MAX min_arc = INVALID first_arc = n_arcs + v - n_nodes if v >= n1 else -1 for a in range(first_arc, -1, -n2): c = cost[arc_id(a, graph)] if c < min_cost: min_cost = c min_arc = a if min_arc != INVALID: arc_vector.append(arc_id(min_arc, graph)) # Perform heuristic initial pivots in_arc = -1 for i in range(len(arc_vector)): in_arc = arc_vector[i] # Bad arcs if ( state[in_arc] * (cost[in_arc] + pi[source[in_arc]] - pi[target[in_arc]]) >= 0 ): continue join = find_join_node( source, target, spanning_tree.succ_num, spanning_tree.parent, in_arc ) leaving_arc_data = find_leaving_arc(join, in_arc, node_arc_data, spanning_tree) if leaving_arc_data.delta >= MAX: return False, in_arc update_flow(join, leaving_arc_data, node_arc_data, spanning_tree, in_arc) if leaving_arc_data.change: update_spanning_tree(spanning_tree, leaving_arc_data, join, in_arc, source) update_potential(leaving_arc_data, pi, cost, spanning_tree) return True, in_arc @numba.njit() def allocate_graph_structures(n, m, use_arc_mixing=True): # Size bipartite graph n_nodes = n + m n_arcs = n * m # Resize vectors all_node_num = n_nodes + 1 max_arc_num = n_arcs + 2 * n_nodes root = n_nodes source = np.zeros(max_arc_num, dtype=np.uint16) target = np.zeros(max_arc_num, dtype=np.uint16) cost = np.ones(max_arc_num, dtype=np.float64) supply = np.zeros(all_node_num, dtype=np.float64) flow = np.zeros(max_arc_num, dtype=np.float64) pi = np.zeros(all_node_num, dtype=np.float64) parent = np.zeros(all_node_num, dtype=np.int32) pred = np.zeros(all_node_num, dtype=np.int32) forward = np.zeros(all_node_num, dtype=np.bool_) thread = np.zeros(all_node_num, dtype=np.int32) rev_thread = np.zeros(all_node_num, dtype=np.int32) succ_num = np.zeros(all_node_num, dtype=np.int32) last_succ = np.zeros(all_node_num, dtype=np.int32) state = np.zeros(max_arc_num, dtype=np.int8) if use_arc_mixing: # Store the arcs in a mixed order k = max(np.int32(np.sqrt(n_arcs)), 10) mixing_coeff = k subsequence_length = (n_arcs // mixing_coeff) + 1 num_big_subsequences = n_arcs % mixing_coeff num_total_big_subsequence_numbers = subsequence_length * num_big_subsequences i = 0 j = 0 for a in range(n_arcs - 1, -1, -1): source[i] = n_nodes - (a // m) - 1 target[i] = n_nodes - ((a % m) + n) - 1 i += k if i >= n_arcs: j += 1 i = j else: # dummy values subsequence_length = 0 mixing_coeff = 0 num_big_subsequences = 0 num_total_big_subsequence_numbers = 0 # Store the arcs in the original order i = 0 for a in range(n_arcs - 1, -1, -1): source[i] = n_nodes - (a // m) - 1 target[i] = n_nodes - ((a % m) + n) - 1 i += 1 node_arc_data = NodeArcData(cost, supply, flow, pi, source, target) spanning_tree = SpanningTree( parent, pred, thread, rev_thread, succ_num, last_succ, forward, state, root ) graph = DiGraph( n_nodes, n_arcs, n, m, use_arc_mixing, num_total_big_subsequence_numbers, subsequence_length, num_big_subsequences, mixing_coeff, ) return node_arc_data, spanning_tree, graph @numba.njit(locals={"u": numba.uint16, "e": numba.uint32}) def initialize_graph_structures(graph, node_arc_data, spanning_tree): n_nodes = graph.n_nodes n_arcs = graph.n_arcs # unpack arrays cost = node_arc_data.cost supply = node_arc_data.supply flow = node_arc_data.flow pi = node_arc_data.pi source = node_arc_data.source target = node_arc_data.target parent = spanning_tree.parent pred = spanning_tree.pred thread = spanning_tree.thread rev_thread = spanning_tree.rev_thread succ_num = spanning_tree.succ_num last_succ = spanning_tree.last_succ forward = spanning_tree.forward state = spanning_tree.state if n_nodes == 0: return False # Check the sum of supply values net_supply = 0 for i in range(n_nodes): net_supply += supply[i] if np.fabs(net_supply) > NET_SUPPLY_ERROR_TOLERANCE: return False # Fix using doubles # Initialize artifical cost artificial_cost = 0.0 for i in range(n_arcs): if cost[i] > artificial_cost: artificial_cost = cost[i] # reset flow and state vectors if flow[i] != 0: flow[i] = 0 state[i] = ArcState.STATE_LOWER artificial_cost = (artificial_cost + 1) * n_nodes # Set data for the artificial root node root = n_nodes parent[root] = -1 pred[root] = -1 thread[root] = 0 rev_thread[0] = root succ_num[root] = n_nodes + 1 last_succ[root] = root - 1 supply[root] = -net_supply pi[root] = 0 # Add artificial arcs and initialize the spanning tree data structure # EQ supply constraints e = n_arcs for u in range(n_nodes): parent[u] = root pred[u] = e thread[u] = u + 1 rev_thread[u + 1] = u succ_num[u] = 1 last_succ[u] = u state[e] = ArcState.STATE_TREE if supply[u] >= 0: forward[u] = True pi[u] = 0 source[e] = u target[e] = root flow[e] = supply[u] cost[e] = 0 else: forward[u] = False pi[u] = artificial_cost source[e] = root target[e] = u flow[e] = -supply[u] cost[e] = artificial_cost e += 1 return True @numba.njit() def initialize_supply(left_node_supply, right_node_supply, graph, supply): for n in range(graph.n_nodes): if n < graph.n: supply[graph.n_nodes - n - 1] = left_node_supply[n] else: supply[graph.n_nodes - n - 1] = right_node_supply[n - graph.n] @numba.njit(inline="always") def set_cost(arc, cost_val, cost, graph): cost[arc_id(arc, graph)] = cost_val @numba.njit(locals={"i": numba.uint16, "j": numba.uint16}) def initialize_cost(cost_matrix, graph, cost): for i in range(cost_matrix.shape[0]): for j in range(cost_matrix.shape[1]): set_cost(i * cost_matrix.shape[1] + j, cost_matrix[i, j], cost, graph) @numba.njit(fastmath=True, locals={"i": numba.uint32}) def total_cost(flow, cost): c = 0.0 for i in range(flow.shape[0]): c += flow[i] * cost[i] return c @numba.njit(nogil=True) def network_simplex_core(node_arc_data, spanning_tree, graph, max_iter): # pivot_block = PivotBlock( # max(np.int32(np.sqrt(graph.n_arcs)), 10), # np.zeros(1, dtype=np.int32), # graph.n_arcs, # ) pivot_block_size = max(np.int32(np.sqrt(graph.n_arcs)), 10) search_arc_num = graph.n_arcs solution_status = ProblemStatus.OPTIMAL # Perform heuristic initial pivots bounded, in_arc = construct_initial_pivots(graph, node_arc_data, spanning_tree) if not bounded: return ProblemStatus.UNBOUNDED iter_number = 0 # pivot.setDantzig(true); # Execute the Network Simplex algorithm in_arc, pivot_next_arc = find_entering_arc( pivot_block_size, 0, search_arc_num, spanning_tree.state, node_arc_data, in_arc ) while in_arc >= 0: iter_number += 1 if max_iter > 0 and iter_number >= max_iter: solution_status = ProblemStatus.MAX_ITER_REACHED break join = find_join_node( node_arc_data.source, node_arc_data.target, spanning_tree.succ_num, spanning_tree.parent, in_arc, ) leaving_arc_data = find_leaving_arc(join, in_arc, node_arc_data, spanning_tree) if leaving_arc_data.delta >= MAX: return ProblemStatus.UNBOUNDED update_flow(join, leaving_arc_data, node_arc_data, spanning_tree, in_arc) if leaving_arc_data.change: update_spanning_tree( spanning_tree, leaving_arc_data, join, in_arc, node_arc_data.source ) update_potential( leaving_arc_data, node_arc_data.pi, node_arc_data.cost, spanning_tree ) in_arc, pivot_next_arc = find_entering_arc( pivot_block_size, pivot_next_arc, search_arc_num, spanning_tree.state, node_arc_data, in_arc, ) flow = node_arc_data.flow pi = node_arc_data.pi # Check feasibility if solution_status == ProblemStatus.OPTIMAL: for e in range(graph.n_arcs, graph.n_arcs + graph.n_nodes): if flow[e] != 0: if np.abs(flow[e]) > EPSILON: return ProblemStatus.INFEASIBLE else: flow[e] = 0 # Shift potentials to meet the requirements of the GEQ/LEQ type # optimality conditions max_pot = -INFINITY for i in range(graph.n_nodes): if pi[i] > max_pot: max_pot = pi[i] if max_pot > 0: for i in range(graph.n_nodes): pi[i] -= max_pot return solution_status ####################################################### # SINKHORN distances in various variations ####################################################### @numba.njit( fastmath=True, parallel=True, locals={"diff": numba.float32, "result": numba.float32}, cache=False, ) def right_marginal_error(u, K, v, y): uK = u @ K result = 0.0 for i in numba.prange(uK.shape[0]): diff = y[i] - uK[i] * v[i] result += diff * diff return np.sqrt(result) @numba.njit( fastmath=True, parallel=True, locals={"diff": numba.float32, "result": numba.float32}, cache=False, ) def right_marginal_error_batch(u, K, v, y): uK = K.T @ u result = 0.0 for i in numba.prange(uK.shape[0]): for j in range(uK.shape[1]): diff = y[j, i] - uK[i, j] * v[i, j] result += diff * diff return np.sqrt(result) @numba.njit(fastmath=True, parallel=True, cache=False) def transport_plan(K, u, v): i_dim = K.shape[0] j_dim = K.shape[1] result = np.empty_like(K) for i in numba.prange(i_dim): for j in range(j_dim): result[i, j] = u[i] * K[i, j] * v[j] return result @numba.njit(fastmath=True, parallel=True, locals={"result": numba.float32}, cache=False) def relative_change_in_plan(old_u, old_v, new_u, new_v): i_dim = old_u.shape[0] j_dim = old_v.shape[0] result = 0.0 for i in numba.prange(i_dim): for j in range(j_dim): old_uv = old_u[i] * old_v[j] result += np.float32(np.abs(old_uv - new_u[i] * new_v[j]) / old_uv) return result / (i_dim * j_dim) @numba.njit(fastmath=True, parallel=True, cache=False) def precompute_K_prime(K, x): i_dim = K.shape[0] j_dim = K.shape[1] result = np.empty_like(K) for i in numba.prange(i_dim): if x[i] > 0.0: x_i_inverse = 1.0 / x[i] else: x_i_inverse = INFINITY for j in range(j_dim): result[i, j] = x_i_inverse * K[i, j] return result @numba.njit(fastmath=True, parallel=True, cache=False) def K_from_cost(cost, regularization): i_dim = cost.shape[0] j_dim = cost.shape[1] result = np.empty_like(cost) for i in numba.prange(i_dim): for j in range(j_dim): scaled_cost = cost[i, j] / regularization result[i, j] = np.exp(-scaled_cost) return result @numba.njit(fastmath=True, cache=True) def sinkhorn_iterations( x, y, u, v, K, max_iter=1000, error_tolerance=1e-9, change_tolerance=1e-9 ): K_prime = precompute_K_prime(K, x) prev_u = u prev_v = v for iteration in range(max_iter): next_v = y / (K.T @ u) if np.any(~np.isfinite(next_v)): break next_u = 1.0 / (K_prime @ next_v) if np.any(~np.isfinite(next_u)): break u = next_u v = next_v if iteration % 20 == 0: # Check if values in plan have changed significantly since last 20 iterations relative_change = relative_change_in_plan(prev_u, prev_v, next_u, next_v) if relative_change <= change_tolerance: break prev_u = u prev_v = v if iteration % 10 == 0: # Check if right marginal error is less than tolerance every 10 iterations err = right_marginal_error(u, K, v, y) if err <= error_tolerance: break return u, v @numba.njit(fastmath=True, cache=True) def sinkhorn_iterations_batch(x, y, u, v, K, max_iter=1000, error_tolerance=1e-9): K_prime = precompute_K_prime(K, x) for iteration in range(max_iter): next_v = y.T / (K.T @ u) if np.any(~np.isfinite(next_v)): break next_u = 1.0 / (K_prime @ next_v) if np.any(~np.isfinite(next_u)): break u = next_u v = next_v if iteration % 10 == 0: # Check if right marginal error is less than tolerance every 10 iterations err = right_marginal_error_batch(u, K, v, y) if err <= error_tolerance: break return u, v @numba.njit(fastmath=True, cache=True) def sinkhorn_transport_plan( x, y, cost=_dummy_cost, regularization=1.0, max_iter=1000, error_tolerance=1e-9, change_tolerance=1e-9, ): dim_x = x.shape[0] dim_y = y.shape[0] u = np.full(dim_x, 1.0 / dim_x, dtype=cost.dtype) v = np.full(dim_y, 1.0 / dim_y, dtype=cost.dtype) K = K_from_cost(cost, regularization) u, v = sinkhorn_iterations( x, y, u, v, K, max_iter=max_iter, error_tolerance=error_tolerance, change_tolerance=change_tolerance, ) return transport_plan(K, u, v) @numba.njit(fastmath=True, cache=True) def sinkhorn_distance(x, y, cost=_dummy_cost, regularization=1.0): transport_plan = sinkhorn_transport_plan( x, y, cost=cost, regularization=regularization ) dim_i = transport_plan.shape[0] dim_j = transport_plan.shape[1] result = 0.0 for i in range(dim_i): for j in range(dim_j): result += transport_plan[i, j] * cost[i, j] return result @numba.njit(fastmath=True, parallel=True, cache=False) def sinkhorn_distance_batch(x, y, cost=_dummy_cost, regularization=1.0): dim_x = x.shape[0] dim_y = y.shape[0] batch_size = y.shape[1] u = np.full((dim_x, batch_size), 1.0 / dim_x, dtype=cost.dtype) v = np.full((dim_y, batch_size), 1.0 / dim_y, dtype=cost.dtype) K = K_from_cost(cost, regularization) u, v = sinkhorn_iterations_batch( x, y, u, v, K, ) i_dim = K.shape[0] j_dim = K.shape[1] result = np.zeros(batch_size) for i in range(i_dim): for j in range(j_dim): K_times_cost = K[i, j] * cost[i, j] for batch in range(batch_size): result[batch] += u[i, batch] * K_times_cost * v[j, batch] return result def make_fixed_cost_sinkhorn_distance(cost, regularization=1.0): K = K_from_cost(cost, regularization) dim_x = K.shape[0] dim_y = K.shape[1] @numba.njit(fastmath=True) def closure(x, y): u = np.full(dim_x, 1.0 / dim_x, dtype=cost.dtype) v = np.full(dim_y, 1.0 / dim_y, dtype=cost.dtype) K = K_from_cost(cost, regularization) u, v = sinkhorn_iterations( x, y, u, v, K, ) current_plan = transport_plan(K, u, v) result = 0.0 for i in range(dim_x): for j in range(dim_y): result += current_plan[i, j] * cost[i, j] return result return closure ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/pynndescent_.py0000755000175100017510000032037715130020663020301 0ustar00vstsvsts# Author: Leland McInnes # # License: BSD 2 clause from warnings import warn import numba import numpy as np from sklearn.utils import check_random_state, check_array from sklearn.preprocessing import normalize from sklearn.base import BaseEstimator, TransformerMixin from scipy.sparse import ( csr_matrix, coo_matrix, isspmatrix_csr, vstack as sparse_vstack, issparse, ) import heapq import pynndescent.sparse as sparse import pynndescent.sparse_nndescent as sparse_nnd import pynndescent.distances as pynnd_dist from pynndescent.utils import ( tau_rand_int, tau_rand, make_heap, deheap_sort, new_build_candidates, ts, simple_heap_push, checked_flagged_heap_push, has_been_visited, mark_visited, check_and_mark_visited, generate_graph_update_array, apply_graph_update_array, initalize_heap_from_graph_indices, initalize_heap_from_graph_indices_and_distances, sparse_initalize_heap_from_graph_indices, EMPTY_GRAPH, ) from pynndescent.rp_trees import ( make_forest, rptree_leaf_array, convert_tree_format, FlatTree, denumbaify_tree, renumbaify_tree, select_side, select_side_bit, sparse_select_side, score_linked_tree, make_hub_tree, make_sparse_hub_tree, make_bit_hub_tree, ) INT32_MIN = np.iinfo(np.int32).min + 1 INT32_MAX = np.iinfo(np.int32).max - 1 FLOAT32_EPS = np.finfo(np.float32).eps def is_c_contiguous(array_like): flags = getattr(array_like, "flags", None) return flags is not None and flags["C_CONTIGUOUS"] @numba.njit(parallel=True, cache=False, fastmath=True) def generate_leaf_updates( updates, n_updates_per_thread, leaf_block, dist_thresholds, data, dist, n_threads ): """Generate leaf updates into pre-allocated arrays for parallel efficiency.""" n_leaves = leaf_block.shape[0] leaves_per_thread = (n_leaves // n_threads) + 1 # Reset update counts for t in range(n_threads): n_updates_per_thread[t] = 0 for t in numba.prange(n_threads): start_leaf = t * leaves_per_thread end_leaf = min(start_leaf + leaves_per_thread, n_leaves) max_updates = updates.shape[1] count = 0 for leaf_idx in range(start_leaf, end_leaf): for i in range(leaf_block.shape[1]): p = leaf_block[leaf_idx, i] if p < 0: break for j in range(i + 1, leaf_block.shape[1]): q = leaf_block[leaf_idx, j] if q < 0: break d = dist(data[p], data[q]) max_threshold = max(dist_thresholds[p], dist_thresholds[q]) if d < max_threshold: if count < max_updates: updates[t, count, 0] = np.float32(p) updates[t, count, 1] = np.float32(q) updates[t, count, 2] = d count += 1 n_updates_per_thread[t] = count return updates @numba.njit( locals={"d": numba.float32, "p": numba.int32, "q": numba.int32}, cache=False, parallel=True, fastmath=True, ) def init_rp_tree(data, dist, current_graph, leaf_array, n_threads=8): n_leaves = leaf_array.shape[0] block_size = n_threads * 64 n_blocks = n_leaves // block_size max_leaf_size = leaf_array.shape[1] updates_per_thread = ( int(block_size * max_leaf_size * (max_leaf_size - 1) / (2 * n_threads)) + 1 ) updates = np.zeros((n_threads, updates_per_thread, 3), dtype=np.float32) n_updates_per_thread = np.zeros(n_threads, dtype=np.int32) n_vertices = current_graph[0].shape[0] vertex_block_size = n_vertices // n_threads + 1 for i in range(n_blocks + 1): block_start = i * block_size block_end = min(n_leaves, (i + 1) * block_size) leaf_block = leaf_array[block_start:block_end] dist_thresholds = current_graph[1][:, 0] generate_leaf_updates( updates, n_updates_per_thread, leaf_block, dist_thresholds, data, dist, n_threads, ) for t in numba.prange(n_threads): v_block_start = t * vertex_block_size v_block_end = min(v_block_start + vertex_block_size, n_vertices) for j in range(n_threads): for k in range(n_updates_per_thread[j]): p = np.int32(updates[j, k, 0]) if p < 0: continue q = np.int32(updates[j, k, 1]) d = updates[j, k, 2] if p >= v_block_start and p < v_block_end: checked_flagged_heap_push( current_graph[1][p], current_graph[0][p], current_graph[2][p], d, q, np.uint8(1), ) if q >= v_block_start and q < v_block_end: checked_flagged_heap_push( current_graph[1][q], current_graph[0][q], current_graph[2][q], d, p, np.uint8(1), ) @numba.njit( fastmath=True, locals={"d": numba.float32, "idx": numba.int32, "i": numba.int32}, cache=False, ) def init_random(n_neighbors, data, heap, dist, rng_state): for i in range(data.shape[0]): if heap[0][i, 0] < 0.0: for j in range(n_neighbors - np.sum(heap[0][i] >= 0.0)): idx = np.abs(tau_rand_int(rng_state)) % data.shape[0] d = dist(data[idx], data[i]) checked_flagged_heap_push( heap[1][i], heap[0][i], heap[2][i], d, idx, np.uint8(1) ) return @numba.njit(cache=True) def init_from_neighbor_graph(heap, indices, distances): for p in range(indices.shape[0]): for k in range(indices.shape[1]): q = indices[p, k] d = distances[p, k] checked_flagged_heap_push(heap[1][p], heap[0][p], heap[2][p], d, q, 0) return @numba.njit(cache=False) def process_candidates( data, dist, current_graph, new_candidate_neighbors, old_candidate_neighbors, n_blocks, block_size, n_threads, update_array, n_updates_per_thread, ): """Process candidate neighbors using array-based update generation. This is more efficient than the list-based approach because: 1. No dynamic memory allocation during parallel loops 2. Better cache locality with contiguous array storage 3. Each thread writes to its own section of the array """ c = 0 n_vertices = new_candidate_neighbors.shape[0] for i in range(n_blocks + 1): block_start = i * block_size block_end = min(n_vertices, (i + 1) * block_size) new_candidate_block = new_candidate_neighbors[block_start:block_end] old_candidate_block = old_candidate_neighbors[block_start:block_end] dist_thresholds = current_graph[1][:, 0] generate_graph_update_array( update_array, n_updates_per_thread, new_candidate_block, old_candidate_block, dist_thresholds, data, dist, n_threads, ) c += apply_graph_update_array( current_graph, update_array, n_updates_per_thread, n_threads ) return c @numba.njit() def nn_descent_internal( current_graph, data, n_neighbors, rng_state, max_candidates=50, dist=pynnd_dist.euclidean, n_iters=10, delta=0.001, verbose=False, ): n_vertices = data.shape[0] block_size = 16384 n_blocks = n_vertices // block_size n_threads = numba.get_num_threads() # Pre-allocate update arrays for efficiency # Estimate max updates: each candidate pair can generate one update max_updates_per_thread = ( int( (max_candidates**2 + max_candidates * (max_candidates - 1) / 2) * block_size / n_threads ) + 1024 ) update_array = np.empty((n_threads, max_updates_per_thread, 3), dtype=np.float32) n_updates_per_thread = np.zeros(n_threads, dtype=np.int32) for n in range(n_iters): if verbose: print("\t", n + 1, " / ", n_iters) (new_candidate_neighbors, old_candidate_neighbors) = new_build_candidates( current_graph, max_candidates, rng_state, n_threads ) c = process_candidates( data, dist, current_graph, new_candidate_neighbors, old_candidate_neighbors, n_blocks, block_size, n_threads, update_array, n_updates_per_thread, ) if c <= delta * n_neighbors * data.shape[0]: if verbose: print("\tStopping threshold met -- exiting after", n + 1, "iterations") return @numba.njit() def nn_descent( data, n_neighbors, rng_state, max_candidates=50, dist=pynnd_dist.euclidean, n_iters=10, delta=0.001, init_graph=EMPTY_GRAPH, rp_tree_init=True, leaf_array=None, low_memory=True, verbose=False, ): if init_graph[0].shape[0] == 1: # EMPTY_GRAPH current_graph = make_heap(data.shape[0], n_neighbors) if rp_tree_init: init_rp_tree(data, dist, current_graph, leaf_array) init_random(n_neighbors, data, current_graph, dist, rng_state) elif ( init_graph[0].shape[0] == data.shape[0] and init_graph[0].shape[1] == n_neighbors ): current_graph = init_graph else: raise ValueError("Invalid initial graph specified!") nn_descent_internal( current_graph, data, n_neighbors, rng_state, max_candidates=max_candidates, dist=dist, n_iters=n_iters, delta=delta, verbose=verbose, ) return deheap_sort(current_graph[0], current_graph[1]) @numba.njit(parallel=True) def diversify(indices, distances, data, dist, rng_state, prune_probability=1.0): for i in numba.prange(indices.shape[0]): new_indices = [indices[i, 0]] new_distances = [distances[i, 0]] for j in range(1, indices.shape[1]): if indices[i, j] < 0: break flag = True for k in range(len(new_indices)): c = new_indices[k] d = dist(data[indices[i, j]], data[c]) if new_distances[k] > FLOAT32_EPS and d < distances[i, j]: if tau_rand(rng_state) < prune_probability: flag = False break if flag: new_indices.append(indices[i, j]) new_distances.append(distances[i, j]) for j in range(indices.shape[1]): if j < len(new_indices): indices[i, j] = new_indices[j] distances[i, j] = new_distances[j] else: indices[i, j] = -1 distances[i, j] = np.inf return indices, distances @numba.njit() def compute_degrees(indices): n = indices.shape[0] k = indices.shape[1] degree = np.zeros(n, dtype=np.int32) for i in range(n): for j in range(k): neighbor = indices[i, j] if neighbor >= 0: degree[i] += 1 degree[neighbor] += 1 return degree @numba.njit() def find_distance(indices, distances, source, target): k = indices.shape[1] for j in range(k): if indices[source, j] == target: return distances[source, j] if indices[source, j] < 0: break return np.float32(np.inf) @numba.njit(parallel=True) def diversify_degree_aware( indices, distances, data, dist, max_degree, aggressiveness=1.0, alpha=1.0 ): """Diversify the k-NN graph with degree-aware pruning. This function applies relative neighborhood pruning with degree awareness. The aggressiveness parameter controls how much extra pruning is applied to edges involving high-degree nodes (hubs). Parameters ---------- indices : ndarray of shape (n, k) The neighbor indices array (modified in place). distances : ndarray of shape (n, k) The neighbor distances array (modified in place). data : ndarray of shape (n, d) The original data points. dist : callable Distance function. max_degree : int Target maximum degree - nodes above this are candidates for adjusted pruning. aggressiveness : float (default=1.0) Controls the degree-aware pruning strength. Higher values prune more edges, particularly to/from high-degree hub nodes: - aggressiveness = 0: Standard diversify behavior (threshold = 1.0 for all) - aggressiveness = 1.0: Default, up to ~10% edge reduction vs standard - aggressiveness = 2.0: More aggressive, up to ~20% edge reduction - aggressiveness = 3.0: Very aggressive, up to ~25% edge reduction The threshold_factor for high-degree nodes scales as: 1.0 + 0.04 * aggressiveness * min(degree_ratio - 1.0, 2.0) This means for a node at 2x max_degree with aggressiveness=1.0, we accept alternatives up to 4% longer than the direct edge. Returns ------- indices : ndarray of shape (n, k) The pruned neighbor indices array. distances : ndarray of shape (n, k) The pruned neighbor distances array. """ n = indices.shape[0] k = indices.shape[1] # Compute initial degrees (in undirected sense) degree = compute_degrees(indices) # Base rate of threshold adjustment per unit of excess degree ratio # At aggressiveness=1.0, this gives 4% max adjustment # Clamp to >= 0 since negative values have unintuitive behavior clamped_aggressiveness = max(np.float32(0.0), np.float32(aggressiveness)) base_rate = np.float32(0.04) * clamped_aggressiveness for i in numba.prange(n): new_indices = [indices[i, 0]] new_distances = [distances[i, 0]] for j in range(1, k): if indices[i, j] < 0: break u = indices[i, j] d_iu = distances[i, j] # Compute threshold factor based on target degree and aggressiveness # Higher degree targets get adjusted pruning based on aggressiveness tgt_degree_ratio = np.float32(degree[u]) / np.float32(max_degree) if tgt_degree_ratio > 1.0: # High degree node - adjust threshold based on aggressiveness # Positive aggressiveness: threshold > 1.0 (prune more) # Negative aggressiveness: threshold < 1.0 (prune less) excess_ratio = min(tgt_degree_ratio - 1.0, np.float32(2.0)) threshold_factor = np.float32(1.0) + base_rate * excess_ratio # Clamp to reasonable range [0.8, 1.2] to avoid extreme behavior threshold_factor = max( np.float32(0.8), min(np.float32(1.2), threshold_factor) ) else: # Normal/low degree - standard threshold threshold_factor = np.float32(1.0) # Check if there's an alternative path through any retained neighbor flag = True for m in range(len(new_indices)): c = new_indices[m] # Compute distance from candidate neighbor c to u d_cu = dist(data[u], data[c]) # Prune if alternative path is acceptable if ( new_distances[m] > FLOAT32_EPS and d_cu < d_iu * threshold_factor * alpha ): flag = False break if flag: new_indices.append(u) new_distances.append(d_iu) # Write back the retained edges for j in range(k): if j < len(new_indices): indices[i, j] = new_indices[j] distances[i, j] = new_distances[j] else: indices[i, j] = -1 distances[i, j] = np.inf return indices, distances @numba.njit(parallel=True) def diversify_csr( graph_indptr, graph_indices, graph_data, source_data, dist, rng_state, prune_probability=1.0, ): n_nodes = graph_indptr.shape[0] - 1 for i in numba.prange(n_nodes): current_indices = graph_indices[graph_indptr[i] : graph_indptr[i + 1]] current_data = graph_data[graph_indptr[i] : graph_indptr[i + 1]] order = np.argsort(current_data) retained = np.ones(order.shape[0], dtype=np.int8) for idx in range(1, order.shape[0]): j = order[idx] for k in range(idx): l = order[k] if retained[l] == 1: d = dist( source_data[current_indices[j]], source_data[current_indices[k]] ) if current_data[l] > FLOAT32_EPS and d < current_data[j]: if tau_rand(rng_state) < prune_probability: retained[j] = 0 break for idx in range(order.shape[0]): j = order[idx] if retained[j] == 0: graph_data[graph_indptr[i] + j] = 0 return @numba.njit() def compute_degrees_csr(graph_indptr, graph_indices): """Compute the undirected degree of each node in a CSR graph. For the reverse graph (transpose of forward graph), this counts how many nodes point TO each node (in-degree in original graph). Parameters ---------- graph_indptr: array of int CSR row pointer array graph_indices: array of int CSR column indices array Returns ------- degrees: array of int The degree of each node """ n_nodes = graph_indptr.shape[0] - 1 degrees = np.zeros(n_nodes, dtype=np.int32) # Count outgoing edges for each node for i in range(n_nodes): degrees[i] += graph_indptr[i + 1] - graph_indptr[i] # Count incoming edges (edges where this node is a target) for i in range(graph_indptr[-1]): if graph_indices[i] < n_nodes: degrees[graph_indices[i]] += 1 return degrees @numba.njit(parallel=True) def diversify_csr_degree_aware( graph_indptr, graph_indices, graph_data, source_data, dist, rng_state, max_degree, aggressiveness=1.0, prune_probability=1.0, ): """Perform degree-aware diversification on a CSR format graph. This is the reverse diversification step, operating on the transposed graph. Higher degree nodes (hubs) get more aggressive pruning. Parameters ---------- graph_indptr: array of int CSR row pointer array graph_indices: array of int CSR column indices array graph_data: array of float CSR data array (distances) source_data: array The original data points dist: callable Distance function rng_state: array Random state for probabilistic pruning max_degree: int The maximum degree considered for scaling aggressiveness: float (default 1.0) Controls how aggressively high-degree nodes are pruned. 0.0 = standard diversification (no degree awareness) Higher values = more aggressive pruning of hub nodes prune_probability: float (default 1.0) Probability of pruning an eligible edge Returns ------- None (modifies graph_data in place) """ # Pre-compute degrees for all nodes (cannot be done in parallel section) degrees = compute_degrees_csr(graph_indptr, graph_indices) n_nodes = graph_indptr.shape[0] - 1 for i in numba.prange(n_nodes): current_indices = graph_indices[graph_indptr[i] : graph_indptr[i + 1]] current_data = graph_data[graph_indptr[i] : graph_indptr[i + 1]] order = np.argsort(current_data) retained = np.ones(order.shape[0], dtype=np.int8) for idx in range(order.shape[0]): j = order[idx] if current_data[j] == 0: # Already pruned or zero distance continue for k in range(idx): compare_idx = order[k] if retained[compare_idx] == 0: continue d = dist( source_data[current_indices[compare_idx]], source_data[current_indices[j]], ) # Compute degree-based threshold factor for node j # High-degree nodes get a relaxed threshold (accept longer paths) target_degree = 0 if current_indices[j] < n_nodes: target_degree = degrees[current_indices[j]] degree_ratio = target_degree / max(max_degree, 1) # Threshold increases with degree ratio, capped at 2x the base threshold_factor = 1.0 + 0.04 * aggressiveness * min( degree_ratio - 1.0, 2.0 ) threshold_factor = max(threshold_factor, 1.0) # Never go below 1.0 # Prune if there's a shorter path through a retained neighbor if d * threshold_factor < current_data[j]: if ( prune_probability >= 1.0 or tau_rand(rng_state) < prune_probability ): retained[j] = 0 break for idx in range(order.shape[0]): j = order[idx] if retained[j] == 0: graph_data[graph_indptr[i] + j] = 0 return @numba.njit(parallel=True) def degree_prune_internal(indptr, data, max_degree=20): for i in numba.prange(indptr.shape[0] - 1): row_data = data[indptr[i] : indptr[i + 1]] if row_data.shape[0] > max_degree: cut_value = np.sort(row_data)[max_degree] for j in range(indptr[i], indptr[i + 1]): if data[j] > cut_value: data[j] = 0.0 return def degree_prune(graph, max_degree=20): """Prune the k-neighbors graph back so that nodes have a maximum degree of ``max_degree``. Parameters ---------- graph: sparse matrix The adjacency matrix of the graph max_degree: int (optional, default 20) The maximum degree of any node in the pruned graph Returns ------- result: sparse matrix The pruned graph. """ degree_prune_internal(graph.indptr, graph.data, max_degree) graph.eliminate_zeros() return graph def resort_tree_indices(tree, tree_order): """Given a new data indexing, resort the tree indices to match""" new_tree = FlatTree( tree.hyperplanes, tree.offsets, tree.children, tree.indices[tree_order].astype(np.int32, order="C"), tree.leaf_size, ) return new_tree @numba.njit(cache=False, fastmath=True) def rerank(nn_inds, queries, data, dist, n_neighbors, deheap_sort_function): heap = make_heap(queries.shape[0], n_neighbors) for i in range(queries.shape[0]): indices = heap[0][i] distances = heap[1][i] for j in range(nn_inds.shape[1]): idx = nn_inds[i, j] if idx < 0: continue d = dist(queries[i], data[idx]) simple_heap_push(distances, indices, d, idx) result_nn_inds, result_nn_dists = deheap_sort_function(heap[0], heap[1]) return result_nn_inds, result_nn_dists class NNDescent: """NNDescent for fast approximate nearest neighbor queries. NNDescent is very flexible and supports a wide variety of distances, including non-metric distances. NNDescent also scales well against high dimensional graph_data in many cases. This implementation provides a straightfoward interface, with access to some tuning parameters. Parameters ---------- data: array of shape (n_samples, n_features) The training graph_data set to find nearest neighbors in. metric: string or callable (optional, default='euclidean') The metric to use for computing nearest neighbors. If a callable is used it must be a numba njit compiled function. Supported metrics include: * euclidean * manhattan * chebyshev * minkowski * canberra * braycurtis * mahalanobis * wminkowski * seuclidean * cosine * correlation * haversine * hamming * jaccard * dice * russelrao * kulsinski * rogerstanimoto * sokalmichener * sokalsneath * yule * hellinger * wasserstein-1d Metrics that take arguments (such as minkowski, mahalanobis etc.) can have arguments passed via the metric_kwds dictionary. At this time care must be taken and dictionary elements must be ordered appropriately; this will hopefully be fixed in the future. metric_kwds: dict (optional, default {}) Arguments to pass on to the metric, such as the ``p`` value for Minkowski distance. n_neighbors: int (optional, default=30) The number of neighbors to use in k-neighbor graph graph_data structure used for fast approximate nearest neighbor search. Larger values will result in more accurate search results at the cost of computation time. n_trees: int (optional, default=None) This implementation uses random projection forests for initializing the index build process. This parameter controls the number of trees in that forest. A larger number will result in more accurate neighbor computation at the cost of performance. The default of None means a value will be chosen based on the size of the data (typically 3-12 trees). Benchmarks show that 2-4 trees are usually sufficient for best recall. leaf_size: int (optional, default=None) The maximum number of points in a leaf for the random projection trees. The default of None means a value will be chosen based on n_neighbors (typically 60-200, computed as 5 * n_neighbors capped at 256). Benchmarks show that larger leaf sizes (100-200) often yield the best recall. pruning_degree_multiplier: float (optional, default=1.5) How aggressively to prune the graph. Since the search graph is undirected (and thus includes nearest neighbors and reverse nearest neighbors) vertices can have very high degree -- the graph will be pruned such that no vertex has degree greater than ``pruning_degree_multiplier * n_neighbors``. diversify_prob: float (optional, default=1.0) The search graph get "diversified" by removing potentially unnecessary edges. This controls the volume of edges removed. A value of 0.0 ensures that no edges get removed, and larger values result in significantly more aggressive edge removal. A value of 1.0 will prune all edges that it can. n_search_trees: int (optional, default=1) The number of random projection trees to use in initializing searching or querying. .. deprecated:: 0.5.5 search_tree_leaf_size: int (optional, default=None) The maximum number of points in a leaf for the search tree (hub tree). This is independent of leaf_size which controls the init RP trees. The default of None means a value will be chosen automatically (currently 30). Smaller values may improve search accuracy at the cost of more tree traversals. max_search_tree_depth: int (optional, default=None) Maximum depth of the search tree. If None, uses max_rptree_depth. This allows independent tuning of search tree depth vs init tree depth. tree_init: bool (optional, default=True) Whether to use random projection trees for initialization. init_graph: np.ndarray (optional, default=None) 2D array of indices of candidate neighbours of the shape (data.shape[0], n_neighbours). If the j-th neighbour of the i-th instances is unknown, use init_graph[i, j] = -1 init_dist: np.ndarray (optional, default=None) 2D array with the same shape as init_graph, such that metric(data[i], data[init_graph[i, j]]) equals init_dist[i, j] random_state: int, RandomState instance or None, optional (default: None) If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by `np.random`. algorithm: string (optional, default='standard') This implementation provides an alternative algorithm for construction of the k-neighbors graph used as a search index. The alternative algorithm can be fast for large ``n_neighbors`` values. The``'alternative'`` algorithm has been deprecated and is no longer available. low_memory: boolean (optional, default=True) Whether to use a lower memory, but more computationally expensive approach to index construction. max_candidates: int (optional, default=None) Internally each "self-join" keeps a maximum number of candidates ( nearest neighbors and reverse nearest neighbors) to be considered. This value controls this aspect of the algorithm. Larger values will provide more accurate search results later, but potentially at non-negligible computation cost in building the index. Don't tweak this value unless you know what you're doing. max_rptree_depth: int (optional, default=200) Maximum depth of random projection trees used for initializing NN-descent. Increasing this may result in a richer, deeper random projection forest, but it may be composed of many degenerate branches. Increase leaf_size in order to keep shallower, wider nondegenerate trees. Such wide trees, however, may yield poor performance of the preparation of the NN descent. n_iters: int (optional, default=None) The maximum number of NN-descent iterations to perform. The NN-descent algorithm can abort early if limited progress is being made, so this only controls the worst case. Don't tweak this value unless you know what you're doing. The default of None means a value will be chosen based on the size of the graph_data. delta: float (optional, default=0.001) Controls the early abort due to limited progress. Larger values will result in earlier aborts, providing less accurate indexes, and less accurate searching. Don't tweak this value unless you know what you're doing. n_jobs: int or None, optional (default=None) The number of parallel jobs to run for neighbors index construction. ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context. ``-1`` means using all processors. compressed: bool (optional, default=False) Whether to prune out data not needed for searching the index. This will result in a significantly smaller index, particularly useful for saving, but will remove information that might otherwise be useful. parallel_batch_queries: bool (optional, default=False) Whether to use parallelism of batched queries. This can be useful for large batches of queries on multicore machines, but results in performance degradation for single queries, so is poor for streaming use. verbose: bool (optional, default=False) Whether to print status graph_data during the computation. """ def __init__( self, data, metric="euclidean", metric_kwds=None, n_neighbors=30, n_trees=None, leaf_size=None, pruning_degree_multiplier=1.5, diversify_prob=1.0, diversify_method="standard", degree_prune_aggressiveness=1.0, n_search_trees=1, search_tree_leaf_size=None, max_search_tree_depth=None, quantization=None, tree_init=True, init_graph=None, init_dist=None, random_state=None, low_memory=True, max_candidates=None, max_rptree_depth=200, n_iters=None, delta=0.001, n_jobs=None, compressed=False, parallel_batch_queries=False, verbose=False, ): if n_trees is None: n_trees = max(3, min(12, int(round(2.0 * np.log10(data.shape[0]))))) if n_iters is None: n_iters = max(5, int(round(np.log2(data.shape[0])))) self.n_trees = n_trees self.n_trees_after_update = max(2, int(np.round(self.n_trees / 3))) self.n_neighbors = n_neighbors self.metric = metric self.metric_kwds = metric_kwds self.leaf_size = leaf_size self.prune_degree_multiplier = pruning_degree_multiplier self.diversify_prob = diversify_prob self.diversify_method = diversify_method self.degree_prune_aggressiveness = degree_prune_aggressiveness self.n_search_trees = n_search_trees self.search_tree_leaf_size = search_tree_leaf_size self.max_search_tree_depth = max_search_tree_depth self.max_rptree_depth = max_rptree_depth self.max_candidates = max_candidates self.quantization = quantization self.low_memory = low_memory self.n_iters = n_iters self.delta = delta self.dim = data.shape[1] self.n_jobs = n_jobs self.compressed = compressed self.parallel_batch_queries = parallel_batch_queries self.verbose = verbose if getattr(data, "dtype", None) == np.float32 and ( issparse(data) or is_c_contiguous(data) ): copy_on_normalize = True else: copy_on_normalize = False if metric in ("bit_hamming", "bit_jaccard"): data = check_array(data, dtype=np.uint8, order="C") self._input_dtype = np.uint8 else: data = check_array(data, dtype=np.float32, accept_sparse="csr", order="C") self._input_dtype = np.float32 self._raw_data = data if not tree_init or n_trees == 0 or init_graph is not None: self.tree_init = False else: self.tree_init = True metric_kwds = metric_kwds or {} self._dist_args = tuple(metric_kwds.values()) self.random_state = random_state current_random_state = check_random_state(self.random_state) self._distance_correction = None self._set_distance_func() if metric in ( "cosine", "dot", "correlation", "dice", "jaccard", "hellinger", "hamming", "bit_hamming", "bit_jaccard", ): self._angular_trees = True if metric in ("bit_hamming", "bit_jaccard"): self._bit_trees = True else: self._bit_trees = False else: self._angular_trees = False self._bit_trees = False if metric == "dot": data = normalize(data, norm="l2", copy=copy_on_normalize) self._raw_data = data self.rng_state = current_random_state.randint(INT32_MIN, INT32_MAX, 3).astype( np.int64 ) self.search_rng_state = current_random_state.randint( INT32_MIN, INT32_MAX, 3 ).astype(np.int64) # Warm up the rng state for i in range(10): _ = tau_rand_int(self.search_rng_state) if self.tree_init: if verbose: print(ts(), "Building RP forest with", str(n_trees), "trees") self._rp_forest = make_forest( data, n_neighbors, n_trees, leaf_size, self.rng_state, current_random_state, self.n_jobs, self._angular_trees, self._bit_trees, max_depth=self.max_rptree_depth, ) leaf_array = rptree_leaf_array(self._rp_forest) else: self._rp_forest = None leaf_array = np.array([[-1]]) if self.max_candidates is None: effective_max_candidates = min(60, self.n_neighbors) else: effective_max_candidates = self.max_candidates # Set threading constraints self._original_num_threads = numba.get_num_threads() if self.n_jobs != -1 and self.n_jobs is not None: numba.set_num_threads(self.n_jobs) if isspmatrix_csr(self._raw_data): self._is_sparse = True if not self._raw_data.has_sorted_indices: self._raw_data.sort_indices() if metric in sparse.sparse_named_distances: if metric in sparse.sparse_fast_distance_alternatives: _distance_func = sparse.sparse_fast_distance_alternatives[metric][ "dist" ] self._distance_correction = ( sparse.sparse_fast_distance_alternatives[metric]["correction"] ) else: _distance_func = sparse.sparse_named_distances[metric] elif callable(metric): _distance_func = metric else: raise ValueError( "Metric {} not supported for sparse data".format(metric) ) if metric in sparse.sparse_need_n_features: metric_kwds["n_features"] = self._raw_data.shape[1] self._dist_args = tuple(metric_kwds.values()) # Create a partial function for distances with arguments if len(self._dist_args) > 0: dist_args = self._dist_args @numba.njit() def _partial_dist_func(ind1, data1, ind2, data2): return _distance_func(ind1, data1, ind2, data2, *dist_args) self._distance_func = _partial_dist_func else: self._distance_func = _distance_func if init_graph is None: _init_graph = EMPTY_GRAPH else: if init_graph.shape[0] != self._raw_data.shape[0]: raise ValueError("Init graph size does not match dataset size!") _init_graph = make_heap(init_graph.shape[0], self.n_neighbors) _init_graph = sparse_initalize_heap_from_graph_indices( _init_graph, init_graph, self._raw_data.indptr, self._raw_data.indices, self._raw_data.data, self._distance_func, ) if verbose: print(ts(), "metric NN descent for", str(n_iters), "iterations") self._neighbor_graph = sparse_nnd.nn_descent( self._raw_data.indices, self._raw_data.indptr, self._raw_data.data, self.n_neighbors, self.rng_state, max_candidates=effective_max_candidates, dist=self._distance_func, n_iters=self.n_iters, delta=self.delta, rp_tree_init=True, leaf_array=leaf_array, init_graph=_init_graph, low_memory=self.low_memory, verbose=verbose, ) else: self._is_sparse = False if init_graph is None: _init_graph = EMPTY_GRAPH else: if init_graph.shape[0] != self._raw_data.shape[0]: raise ValueError("Init graph size does not match dataset size!") _init_graph = make_heap(init_graph.shape[0], self.n_neighbors) if init_dist is None: _init_graph = initalize_heap_from_graph_indices( _init_graph, init_graph, data, self._distance_func ) elif init_graph.shape != init_dist.shape: raise ValueError( "The shapes of init graph and init distances do not match!" ) else: _init_graph = initalize_heap_from_graph_indices_and_distances( _init_graph, init_graph, init_dist ) if verbose: print(ts(), "NN descent for", str(n_iters), "iterations") self._neighbor_graph = nn_descent( self._raw_data, self.n_neighbors, self.rng_state, effective_max_candidates, self._distance_func, self.n_iters, self.delta, low_memory=self.low_memory, rp_tree_init=True, init_graph=_init_graph, leaf_array=leaf_array, verbose=verbose, ) if np.any(self._neighbor_graph[0] < 0): warn( "Failed to correctly find n_neighbors for some samples." " Results may be less than ideal. Try re-running with" " different parameters." ) numba.set_num_threads(self._original_num_threads) def _set_distance_func(self): self._is_proxy_distance = False if callable(self.metric): _distance_func = self.metric elif self.metric in pynnd_dist.proxy_distances: self._is_proxy_distance = True _distance_func = pynnd_dist.proxy_distances[self.metric]["proxy_dist"] self._true_distance_func = pynnd_dist.proxy_distances[self.metric][ "true_dist" ] elif self.metric in pynnd_dist.named_distances: if self.metric in pynnd_dist.fast_distance_alternatives: _distance_func = pynnd_dist.fast_distance_alternatives[self.metric][ "dist" ] self._distance_correction = pynnd_dist.fast_distance_alternatives[ self.metric ]["correction"] else: _distance_func = pynnd_dist.named_distances[self.metric] else: raise ValueError("Metric is neither callable, " + "nor a recognised string") # Create a partial function for distances with arguments if len(self._dist_args) > 0: dist_args = self._dist_args @numba.njit() def _partial_dist_func(x, y): return _distance_func(x, y, *dist_args) self._distance_func = _partial_dist_func else: self._distance_func = _distance_func def __getstate__(self): if not hasattr(self, "_search_graph"): self._init_search_graph() if not hasattr(self, "_search_function"): if self._is_sparse: self._init_sparse_search_function() else: self._init_search_function() result = self.__dict__.copy() if hasattr(self, "_rp_forest"): del result["_rp_forest"] result["_search_forest"] = tuple( [denumbaify_tree(tree) for tree in self._search_forest] ) return result def __setstate__(self, d): self.__dict__ = d self._set_distance_func() self._search_forest = tuple( [renumbaify_tree(tree) for tree in d["_search_forest"]] ) if self._is_sparse: self._init_sparse_search_function() else: self._init_search_function() def _init_search_graph(self): # Set threading constraints self._original_num_threads = numba.get_num_threads() if self.n_jobs != -1 and self.n_jobs is not None: numba.set_num_threads(self.n_jobs) # Determine search tree parameters (use dedicated params or fall back to init params) search_leaf_size = ( self.search_tree_leaf_size if self.search_tree_leaf_size is not None else (self.leaf_size if self.leaf_size is not None else 30) ) search_tree_depth = ( self.max_search_tree_depth if self.max_search_tree_depth is not None else self.max_rptree_depth ) if not hasattr(self, "_search_forest"): if self._rp_forest is None: if self.tree_init: # We don't have a forest, so make a small search forest current_random_state = check_random_state(self.random_state) rp_forest = make_forest( self._raw_data, self.n_neighbors, self.n_search_trees, search_leaf_size, self.rng_state, current_random_state, self.n_jobs, self._angular_trees, max_depth=search_tree_depth, ) self._search_forest = [ convert_tree_format( tree, self._raw_data.shape[0], self._raw_data.shape[1] ) for tree in rp_forest ] else: self._search_forest = [] else: # Build a graph-informed hub tree that minimizes edge cuts if self.verbose: print(ts(), "Building hub-based search tree") if self._is_sparse: # Sparse data - use simplified hub tree (faster, better quality) gi_tree = make_sparse_hub_tree( self._raw_data.indices, self._raw_data.indptr, self._raw_data.data, self._neighbor_graph[0], self.rng_state, leaf_size=search_leaf_size, angular=self._angular_trees, max_depth=search_tree_depth, ) del self._rp_forest self._search_forest = [ convert_tree_format( gi_tree, self._raw_data.shape[0], self._raw_data.indptr.shape[0] - 1, ) ] elif getattr(self, "_bit_trees", False): # Bit-packed data - use simplified hub tree (faster, better quality) gi_tree = make_bit_hub_tree( self._raw_data, self._neighbor_graph[0], self.rng_state, leaf_size=search_leaf_size, max_depth=search_tree_depth, ) del self._rp_forest self._search_forest = [ convert_tree_format( gi_tree, self._raw_data.shape[0], self._raw_data.shape[1] ) ] elif self.quantization == "binary" and hasattr(self, "_quantized_data"): # Quantized binary data - use simplified hub tree (faster, better quality) gi_tree = make_bit_hub_tree( self._quantized_data, self._neighbor_graph[0], self.rng_state, leaf_size=search_leaf_size, max_depth=search_tree_depth, ) del self._rp_forest self._search_forest = [ convert_tree_format( gi_tree, self._quantized_data.shape[0], self._quantized_data.shape[1], ) ] self._bit_trees = True else: # Dense data - use simplified hub tree (faster, better quality) gi_tree = make_hub_tree( self._raw_data, self._neighbor_graph[0], self.rng_state, leaf_size=search_leaf_size, angular=self._angular_trees, max_depth=search_tree_depth, ) del self._rp_forest self._search_forest = [ convert_tree_format( gi_tree, self._raw_data.shape[0], self._raw_data.shape[1] ) ] nnz_pre_diversify = np.sum(self._neighbor_graph[0] >= 0) if self._is_sparse: if self.compressed: diversified_rows, diversified_data = sparse.diversify( self._neighbor_graph[0], self._neighbor_graph[1], self._raw_data.indices, self._raw_data.indptr, self._raw_data.data, self._distance_func, self.rng_state, self.diversify_prob, ) else: diversified_rows, diversified_data = sparse.diversify( self._neighbor_graph[0].copy(), self._neighbor_graph[1].copy(), self._raw_data.indices, self._raw_data.indptr, self._raw_data.data, self._distance_func, self.rng_state, self.diversify_prob, ) else: if self.diversify_method == "degree_aware": # Use degree-aware diversification max_degree = int(self.prune_degree_multiplier * self.n_neighbors) if self.compressed: diversified_rows, diversified_data = diversify_degree_aware( self._neighbor_graph[0], self._neighbor_graph[1], self._raw_data, self._distance_func, max_degree, self.degree_prune_aggressiveness, self.diversify_prob, ) else: diversified_rows, diversified_data = diversify_degree_aware( self._neighbor_graph[0].copy(), self._neighbor_graph[1].copy(), self._raw_data, self._distance_func, max_degree, self.degree_prune_aggressiveness, self.diversify_prob, ) else: # Standard diversification if self.compressed: diversified_rows, diversified_data = diversify( self._neighbor_graph[0], self._neighbor_graph[1], self._raw_data, self._distance_func, self.rng_state, self.diversify_prob, ) else: diversified_rows, diversified_data = diversify( self._neighbor_graph[0].copy(), self._neighbor_graph[1].copy(), self._raw_data, self._distance_func, self.rng_state, self.diversify_prob, ) self._search_graph = coo_matrix( (self._raw_data.shape[0], self._raw_data.shape[0]), dtype=np.float32 ) # Preserve any distance 0 points diversified_data[diversified_data == 0.0] = FLOAT32_EPS self._search_graph.row = np.repeat( np.arange(diversified_rows.shape[0], dtype=np.int32), diversified_rows.shape[1], ) self._search_graph.col = diversified_rows.ravel() self._search_graph.data = diversified_data.ravel() # Get rid of any -1 index entries self._search_graph = self._search_graph.tocsr() self._search_graph.data[self._search_graph.indices == -1] = 0.0 self._search_graph.eliminate_zeros() self._min_distance = np.min(self._search_graph.data) if self.verbose: print( ts(), "Forward diversification reduced edges from {} to {}".format( nnz_pre_diversify, self._search_graph.nnz ), ) # Reverse graph pre_reverse_diversify_nnz = self._search_graph.nnz reverse_graph = self._search_graph.transpose() if self._is_sparse: sparse.diversify_csr( reverse_graph.indptr, reverse_graph.indices, reverse_graph.data, self._raw_data.indptr, self._raw_data.indices, self._raw_data.data, self._distance_func, self.rng_state, self.diversify_prob, ) elif self.diversify_method == "degree_aware": diversify_csr_degree_aware( reverse_graph.indptr, reverse_graph.indices, reverse_graph.data, self._raw_data, self._distance_func, self.rng_state, self.n_neighbors, # max_degree self.degree_prune_aggressiveness, self.diversify_prob, ) else: diversify_csr( reverse_graph.indptr, reverse_graph.indices, reverse_graph.data, self._raw_data, self._distance_func, self.rng_state, self.diversify_prob, ) reverse_graph.eliminate_zeros() if self.verbose: print( ts(), "Reverse diversification reduced edges from {} to {}".format( pre_reverse_diversify_nnz, reverse_graph.nnz ), ) reverse_graph = reverse_graph.tocsr() reverse_graph.sort_indices() self._search_graph = self._search_graph.tocsr() self._search_graph.sort_indices() self._search_graph = self._search_graph.maximum(reverse_graph).tocsr() # Eliminate the diagonal self._search_graph.setdiag(0.0) self._search_graph.eliminate_zeros() pre_prune_nnz = self._search_graph.nnz self._search_graph = degree_prune( self._search_graph, int(np.round(self.prune_degree_multiplier * self.n_neighbors)), ) self._search_graph.eliminate_zeros() self._search_graph = (self._search_graph != 0).astype(np.uint8) if self.verbose: print( ts(), "Degree pruning reduced edges from {} to {}".format( pre_prune_nnz, self._search_graph.nnz ), ) self._visited = np.zeros( (self._raw_data.shape[0] // 8) + 1, dtype=np.uint8, order="C" ) # reorder according to the search tree leaf order if self.verbose: print(ts(), "Resorting data and graph based on tree order") if self.tree_init: self._vertex_order = self._search_forest[0].indices row_ordered_graph = self._search_graph[self._vertex_order, :].tocsc() self._search_graph = row_ordered_graph[:, self._vertex_order] self._search_graph = self._search_graph.tocsr() self._search_graph.sort_indices() if self._is_sparse: self._raw_data = self._raw_data[self._vertex_order, :] else: self._raw_data = np.ascontiguousarray( self._raw_data[self._vertex_order, :] ) if hasattr(self, "_quantized_data"): self._quantized_data = np.ascontiguousarray( self._quantized_data[self._vertex_order, :] ) tree_order = np.argsort(self._vertex_order) self._search_forest = tuple( resort_tree_indices(tree, tree_order) for tree in self._search_forest[: self.n_search_trees] ) else: self._vertex_order = np.arange(self._raw_data.shape[0]) if self.compressed: if self.verbose: print(ts(), "Compressing index by removing unneeded attributes") if hasattr(self, "_rp_forest"): del self._rp_forest del self._neighbor_graph numba.set_num_threads(self._original_num_threads) def _init_search_function(self): if self.verbose: print(ts(), "Building and compiling search function") if self.tree_init: tree_hyperplanes = self._search_forest[0].hyperplanes tree_offsets = self._search_forest[0].offsets tree_indices = self._search_forest[0].indices tree_children = self._search_forest[0].children if self._bit_trees: @numba.njit( [ numba.types.Array(numba.types.int32, 1, "C", readonly=True)( numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array( numba.types.int64, 1, "C", readonly=False ), ) ], locals={"node": numba.types.uint32, "side": numba.types.boolean}, ) def tree_search_closure(point, rng_state): node = 0 while tree_children[node, 0] > 0: side = select_side_bit( tree_hyperplanes[node], tree_offsets[node], point, rng_state ) if side == 0: node = tree_children[node, 0] else: node = tree_children[node, 1] return -tree_children[node] else: @numba.njit( [ numba.types.Array(numba.types.int32, 1, "C", readonly=True)( numba.types.Array( numba.types.float32, 1, "C", readonly=True ), numba.types.Array( numba.types.int64, 1, "C", readonly=False ), ) ], locals={"node": numba.types.uint32, "side": numba.types.boolean}, ) def tree_search_closure(point, rng_state): node = 0 while tree_children[node, 0] > 0: side = select_side( tree_hyperplanes[node], tree_offsets[node], point, rng_state ) if side == 0: node = tree_children[node, 0] else: node = tree_children[node, 1] return -tree_children[node] self._tree_search = tree_search_closure else: @numba.njit() def tree_search_closure(point, rng_state): return (0, 0) self._tree_search = tree_search_closure tree_indices = np.zeros(1, dtype=np.int64) if self.quantization is not None: data = self._quantized_data dist = self._quantized_distance_func else: data = self._raw_data dist = self._distance_func indptr = self._search_graph.indptr indices = self._search_graph.indices n_neighbors = self.n_neighbors parallel_search = self.parallel_batch_queries min_distance = self._min_distance if dist == pynnd_dist.bit_hamming or dist == pynnd_dist.bit_jaccard: data_type = numba.types.uint8[::1] query_data_type = numba.types.uint8[::1] elif self.quantization == "uint8" or self.quantization == "uint4": data_type = numba.types.uint8[::1] query_data_type = numba.types.float32[::1] else: data_type = numba.types.float32[::1] query_data_type = numba.types.float32[::1] if self.metric in ( "cosine", "dot", ): normalize_query = True else: normalize_query = False @numba.njit( fastmath=True, locals={ "current_query": query_data_type, "i": numba.types.uint32, "j": numba.types.uint32, "heap_priorities": numba.types.float32[::1], "heap_indices": numba.types.int32[::1], "candidate": numba.types.int32, "vertex": numba.types.int32, "d": numba.types.float32, "d_vertex": numba.types.float32, "visited": numba.types.uint8[::1], "indices": numba.types.int32[::1], "indptr": numba.types.int32[::1], "data": data_type, "heap_size": numba.types.int16, "distance_scale": numba.types.float32, "distance_bound": numba.types.float32, "seed_scale": numba.types.float32, }, parallel=self.parallel_batch_queries, ) def search_closure(query_points, k, epsilon, visited, rng_state): result = make_heap(query_points.shape[0], k) internal_rng_state = np.copy(rng_state) for i in numba.prange(query_points.shape[0]): # Avoid races on visited if parallel if parallel_search: visited_nodes = np.zeros_like(visited) else: visited_nodes = visited visited_nodes[:] = 0 if normalize_query: norm = np.sqrt((query_points[i] ** 2).sum()) if norm > 0.0: current_query = query_points[i] / norm else: continue else: current_query = query_points[i] heap_priorities = result[1][i] heap_indices = result[0][i] seed_set = [(np.float32(np.inf), np.int32(-1)) for j in range(0)] # heapq.heapify(seed_set) ############ Init from Tree ################ index_bounds = tree_search_closure(current_query, internal_rng_state) candidate_indices = tree_indices[index_bounds[0] : index_bounds[1]] n_initial_points = candidate_indices.shape[0] for j in range(n_initial_points): candidate = candidate_indices[j] d = np.float32(dist(current_query, data[candidate])) # indices are guaranteed different simple_heap_push(heap_priorities, heap_indices, d, candidate) heapq.heappush(seed_set, (d, candidate)) mark_visited(visited_nodes, candidate) ############ Random samples if needed ################ n_random_samples = min(k, n_neighbors) - n_initial_points if n_random_samples > 0: for j in range(n_random_samples): candidate = np.int32( np.abs(tau_rand_int(internal_rng_state)) % data.shape[0] ) if check_and_mark_visited(visited_nodes, candidate) == 0: d = np.float32(dist(current_query, data[candidate])) simple_heap_push( heap_priorities, heap_indices, d, candidate ) heapq.heappush(seed_set, (d, candidate)) ############ Search ############## distance_bound = heap_priorities[0] + ( epsilon * (heap_priorities[0] - min_distance) ) # Find smallest seed point d_vertex, vertex = heapq.heappop(seed_set) while d_vertex < distance_bound: for j in range(indptr[vertex], indptr[vertex + 1]): candidate = indices[j] if check_and_mark_visited(visited_nodes, candidate) == 0: d = np.float32(dist(current_query, data[candidate])) if d < distance_bound: simple_heap_push( heap_priorities, heap_indices, d, candidate ) heapq.heappush(seed_set, (d, candidate)) # Update bound distance_bound = heap_priorities[0] + ( epsilon * (heap_priorities[0] - min_distance) ) # find new smallest seed point if len(seed_set) == 0: break else: d_vertex, vertex = heapq.heappop(seed_set) return result self._search_function = search_closure if hasattr(deheap_sort, "py_func"): self._deheap_function = numba.njit(parallel=self.parallel_batch_queries)( deheap_sort.py_func ) else: self._deheap_function = deheap_sort if hasattr(rerank, "py_func"): self._rerank_function = numba.njit( parallel=self.parallel_batch_queries, fastmath=True )(rerank.py_func) else: self._rerank_function = rerank # Force compilation of the search function (hardcoded k, epsilon) query_data = ( self._raw_data[:1] if self.quantization != "binary" else self._quantized_data[:1] ) inds, dists, _ = self._search_function( query_data, 5, 0.0, self._visited, self.search_rng_state ) _ = self._deheap_function(inds, dists) def _init_sparse_search_function(self): if self.verbose: print(ts(), "Building and compiling sparse search function") if self.tree_init: tree_hyperplanes = self._search_forest[0].hyperplanes tree_offsets = self._search_forest[0].offsets tree_indices = self._search_forest[0].indices tree_children = self._search_forest[0].children @numba.njit( [ numba.types.Array(numba.types.int32, 1, "C", readonly=True)( numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int64, 1, "C", readonly=False), ) ], locals={"node": numba.types.uint32, "side": numba.types.boolean}, ) def sparse_tree_search_closure(point_inds, point_data, rng_state): node = 0 while tree_children[node, 0] > 0: side = sparse_select_side( tree_hyperplanes[node], tree_offsets[node], point_inds, point_data, rng_state, ) if side == 0: node = tree_children[node, 0] else: node = tree_children[node, 1] return -tree_children[node] self._tree_search = sparse_tree_search_closure else: @numba.njit() def sparse_tree_search_closure(point_inds, point_data, rng_state): return (0, 0) self._tree_search = sparse_tree_search_closure tree_indices = np.zeros(1, dtype=np.int64) from pynndescent.distances import alternative_dot, alternative_cosine data_inds = self._raw_data.indices data_indptr = self._raw_data.indptr data_data = self._raw_data.data indptr = self._search_graph.indptr indices = self._search_graph.indices dist = self._distance_func n_neighbors = self.n_neighbors parallel_search = self.parallel_batch_queries @numba.njit( fastmath=True, locals={ "current_query": numba.types.float32[::1], "i": numba.types.uint32, "heap_priorities": numba.types.float32[::1], "heap_indices": numba.types.int32[::1], "candidate": numba.types.int32, "d": numba.types.float32, "visited": numba.types.uint8[::1], "indices": numba.types.int32[::1], "indptr": numba.types.int32[::1], "data": numba.types.float32[:, ::1], "heap_size": numba.types.int16, "distance_scale": numba.types.float32, "seed_scale": numba.types.float32, }, parallel=self.parallel_batch_queries, ) def search_closure( query_inds, query_indptr, query_data, k, epsilon, visited, rng_state ): n_query_points = query_indptr.shape[0] - 1 n_index_points = data_indptr.shape[0] - 1 result = make_heap(n_query_points, k) distance_scale = 1.0 + epsilon internal_rng_state = np.copy(rng_state) for i in numba.prange(n_query_points): # Avoid races on visited if parallel if parallel_search: visited_nodes = np.zeros_like(visited) else: visited_nodes = visited visited_nodes[:] = 0 current_query_inds = query_inds[query_indptr[i] : query_indptr[i + 1]] current_query_data = query_data[query_indptr[i] : query_indptr[i + 1]] if dist == alternative_dot or dist == alternative_cosine: norm = np.sqrt((current_query_data**2).sum()) if norm > 0.0: current_query_data = current_query_data / norm else: continue heap_priorities = result[1][i] heap_indices = result[0][i] seed_set = [(np.float32(np.inf), np.int32(-1)) for j in range(0)] heapq.heapify(seed_set) ############ Init ################ index_bounds = sparse_tree_search_closure( current_query_inds, current_query_data, internal_rng_state ) candidate_indices = tree_indices[index_bounds[0] : index_bounds[1]] n_initial_points = candidate_indices.shape[0] n_random_samples = min(k, n_neighbors) - n_initial_points for j in range(n_initial_points): candidate = candidate_indices[j] from_inds = data_inds[ data_indptr[candidate] : data_indptr[candidate + 1] ] from_data = data_data[ data_indptr[candidate] : data_indptr[candidate + 1] ] d = np.float32( dist( from_inds, from_data, current_query_inds, current_query_data ) ) # indices are guaranteed different simple_heap_push(heap_priorities, heap_indices, d, candidate) heapq.heappush(seed_set, (d, candidate)) mark_visited(visited_nodes, candidate) if n_random_samples > 0: for j in range(n_random_samples): candidate = np.int32( np.abs(tau_rand_int(internal_rng_state)) % n_index_points ) if check_and_mark_visited(visited_nodes, candidate) == 0: from_inds = data_inds[ data_indptr[candidate] : data_indptr[candidate + 1] ] from_data = data_data[ data_indptr[candidate] : data_indptr[candidate + 1] ] d = np.float32( dist( from_inds, from_data, current_query_inds, current_query_data, ) ) simple_heap_push( heap_priorities, heap_indices, d, candidate ) heapq.heappush(seed_set, (d, candidate)) ############ Search ############## distance_bound = distance_scale * heap_priorities[0] # Find smallest seed point d_vertex, vertex = heapq.heappop(seed_set) while d_vertex < distance_bound: for j in range(indptr[vertex], indptr[vertex + 1]): candidate = indices[j] if check_and_mark_visited(visited_nodes, candidate) == 0: from_inds = data_inds[ data_indptr[candidate] : data_indptr[candidate + 1] ] from_data = data_data[ data_indptr[candidate] : data_indptr[candidate + 1] ] d = np.float32( dist( from_inds, from_data, current_query_inds, current_query_data, ) ) if d < distance_bound: simple_heap_push( heap_priorities, heap_indices, d, candidate ) heapq.heappush(seed_set, (d, candidate)) # Update bound distance_bound = distance_scale * heap_priorities[0] # find new smallest seed point if len(seed_set) == 0: break else: d_vertex, vertex = heapq.heappop(seed_set) return result self._search_function = search_closure if hasattr(deheap_sort, "py_func"): self._deheap_function = numba.njit(parallel=self.parallel_batch_queries)( deheap_sort.py_func ) else: self._deheap_function = deheap_sort # Force compilation of the search function (hardcoded k, epsilon) query_data = self._raw_data[:1] inds, dists, _ = self._search_function( query_data.indices, query_data.indptr, query_data.data, 5, 0.0, self._visited, self.search_rng_state, ) _ = self._deheap_function(inds, dists) @property def neighbor_graph(self): if self.compressed and not hasattr(self, "_neighbor_graph"): warn("Compressed indexes do not have neighbor graph information.") return None if self._distance_correction is not None: result = ( self._neighbor_graph[0].copy(), self._distance_correction(self._neighbor_graph[1]), ) else: result = (self._neighbor_graph[0].copy(), self._neighbor_graph[1].copy()) return result def compress_index(self): import gc self.prepare() self.compressed = True if hasattr(self, "_rp_forest"): del self._rp_forest if hasattr(self, "_neighbor_graph"): del self._neighbor_graph gc.collect() return def prepare(self): if self.quantization is not None: if self.quantization == "binary": # Quantize data to binary and set bit-based distance functions self._quantized_data = np.packbits( (self._raw_data > 0).astype(np.uint8), axis=1 ) if self.metric in pynnd_dist.quantized_distances["binary"]: self._quantized_distance_func = pynnd_dist.quantized_distances[ "binary" ][self.metric] self._is_proxy_distance = True self._true_distance_func = self._distance_func else: raise ValueError( f"Not binary quantization version of {self.metric}" ) elif self.quantization == "uint8": # Quantize data to uint8 and set uint8-based distance functions current_random_state = check_random_state(self.random_state) sample_data = self._raw_data[ current_random_state.choice( self._raw_data.shape[0], min(10000, self._raw_data.shape[0]), replace=False, ) ].ravel() if len(np.unique(sample_data)) <= 256: self._quantized_values = np.unique(sample_data).astype(np.float32) else: self._quantized_values = np.quantile( sample_data, np.linspace(0, 1, 256) ).astype(np.float32) self._quantized_data = np.searchsorted( self._quantized_values, self._raw_data ).astype(np.uint8, order="C") if self.metric in pynnd_dist.quantized_distances["uint8"]: self._quantized_distance_func_base = pynnd_dist.quantized_distances[ "uint8" ][self.metric] quantized_vals = self._quantized_values quantized_dist = self._quantized_distance_func_base @numba.njit(fastmath=True) def quantized_distance_func_closure(a, b): return quantized_dist(a, b, quantized_vals) self._quantized_distance_func = quantized_distance_func_closure self._is_proxy_distance = True self._true_distance_func = self._distance_func else: raise ValueError(f"Not uint8 quantization version of {self.metric}") elif self.quantization == "uint4": # Quantize data to uint4 and set uint4-based distance functions current_random_state = check_random_state(self.random_state) sample_data = self._raw_data[ current_random_state.choice( self._raw_data.shape[0], min(10000, self._raw_data.shape[0]), replace=False, ) ].ravel() self._quantized_values = np.quantile( sample_data, np.linspace(0, 1, 16) ).astype(np.float32) quantized_data_8bit = np.searchsorted( self._quantized_values, self._raw_data ).astype(np.uint8, order="C") # Pack two uint4 into one uint8 self._quantized_data = ( (quantized_data_8bit[:, ::2] << 4) | (quantized_data_8bit[:, 1::2]) ).astype(np.uint8, order="C") if self.metric in pynnd_dist.quantized_distances["uint4"]: self._quantized_distance_func_base = pynnd_dist.quantized_distances[ "uint4" ][self.metric] quantized_vals = self._quantized_values quantized_dist = self._quantized_distance_func_base @numba.njit(fastmath=True) def quantized_distance_func_closure(a, b): return quantized_dist(a, b, quantized_vals) self._quantized_distance_func = quantized_distance_func_closure self._is_proxy_distance = True self._true_distance_func = self._distance_func else: raise ValueError(f"Not uint4 quantization version of {self.metric}") else: raise ValueError(f"Unrecognized quantization type {self.quantization}") if not hasattr(self, "_search_graph"): self._init_search_graph() if not hasattr(self, "_search_function"): if self._is_sparse: self._init_sparse_search_function() else: self._init_search_function() return def query(self, query_data, k=10, epsilon=0.1, proxy_beam_size=4): """Query the training graph_data for the k nearest neighbors Parameters ---------- query_data: array-like, last dimension self.dim An array of points to query k: integer (default = 10) The number of nearest neighbors to return epsilon: float (optional, default=0.1) When searching for nearest neighbors of a query point this values controls the trade-off between accuracy and search cost. Larger values produce more accurate nearest neighbor results at larger computational cost for the search. Values should be in the range 0.0 to 0.5, but should probably not exceed 0.3 without good reason. Returns ------- indices, distances: array (n_query_points, k), array (n_query_points, k) The first array, ``indices``, provides the indices of the graph_data points in the training set that are the nearest neighbors of each query point. Thus ``indices[i, j]`` is the index into the training graph_data of the jth nearest neighbor of the ith query points. Similarly ``distances`` provides the distances to the neighbors of the query points such that ``distances[i, j]`` is the distance from the ith query point to its jth nearest neighbor in the training graph_data. """ if not hasattr(self, "_search_graph") or not hasattr(self, "_search_function"): self.prepare() if self._is_proxy_distance: search_k = proxy_beam_size * k else: search_k = k if not self._is_sparse: # Standard case if self.metric in ("bit_hamming", "bit_jaccard"): query_data = np.asarray(query_data).astype(np.uint8, order="C") else: query_data = np.asarray(query_data).astype(np.float32, order="C") if self.quantization is not None: epsilon += 1e-32 # ensure epsilon > 0 for quantized searches if self.quantization == "binary": proxy_query_data = np.packbits( (query_data > 0).astype(np.uint8), axis=1 ) elif self.quantization == "uint8" or self.quantization == "uint4": proxy_query_data = query_data else: raise ValueError( f"Unrecognized quantization type {self.quantization}" ) else: proxy_query_data = query_data indices, dists, _ = self._search_function( proxy_query_data, search_k, epsilon, self._visited, self.search_rng_state, ) else: # Sparse case query_data = check_array(query_data, accept_sparse="csr", dtype=np.float32) if not isspmatrix_csr(query_data): query_data = csr_matrix(query_data, dtype=np.float32) if not query_data.has_sorted_indices: query_data.sort_indices() indices, dists, _ = self._search_function( query_data.indices, query_data.indptr, query_data.data, search_k, epsilon, self._visited, self.search_rng_state, ) indices, dists = self._deheap_function(indices, dists) if self._is_proxy_distance: indices, dists = rerank( indices, query_data, self._raw_data, self._true_distance_func, k, self._deheap_function, ) # Sort to input graph_data order indices = self._vertex_order[indices] if self._distance_correction is not None: dists = self._distance_correction(dists) return indices, dists def update(self, xs_fresh=None, xs_updated=None, updated_indices=None): """ Updates the index with a) fresh data (that is appended to the existing data), and b) data that was only updated (but should not be appended to the existing data). Not applicable to sparse data yet. Parameters ---------- xs_fresh: np.ndarray (optional, default=None) 2D array of the shape (n_fresh, dim) where dim is the dimension of the data from which we built self. xs_updated: np.ndarray (optional, default=None) 2D array of the shape (n_updates, dim) where dim is the dimension of the data from which we built self. updated_indices: array-like of size n_updates (optional, default=None) Something that is convertable to list of ints. If self is currently built from xs, then xs[update_indices[i]] will be replaced by xs_updated[i]. Returns ------- None """ current_random_state = check_random_state(self.random_state) rng_state = current_random_state.randint(INT32_MIN, INT32_MAX, 3).astype( np.int64 ) error_sparse_to_do = NotImplementedError("Sparse update not complete yet") # input checks if xs_updated is not None: xs_updated = check_array( xs_updated, dtype=self._input_dtype, accept_sparse="csr", order="C" ) if updated_indices is None: raise ValueError( "If xs_updated are provided, updated_indices must also be provided!" ) if self._is_sparse: raise error_sparse_to_do else: try: updated_indices = list(map(int, updated_indices)) except (TypeError, ValueError): raise ValueError( "Could not convert updated indices to list of int(s)." ) n1 = len(updated_indices) n2 = xs_updated.shape[0] if n1 != n2: raise ValueError( f"Number of updated indices ({n1}) must match " f"number of rows of xs_updated ({n2})." ) else: if updated_indices is not None: warn( "xs_updated not provided, while update_indices provided. " "They will be ignored." ) updated_indices = None if updated_indices is None: # make an empty iterable instead xs_updated = [] updated_indices = [] if xs_fresh is None: if self._is_sparse: xs_fresh = csr_matrix( ([], [], []), shape=(0, self._raw_data.shape[1]), dtype=self._input_dtype, ) else: xs_fresh = np.zeros( (0, self._raw_data.shape[1]), dtype=self._input_dtype ) else: xs_fresh = check_array( xs_fresh, dtype=self._input_dtype, accept_sparse="csr", order="C" ) # data preparation if hasattr(self, "_vertex_order"): original_order = np.argsort(self._vertex_order) else: original_order = np.ones(self._raw_data.shape[0], dtype=np.bool_) if self._is_sparse: self._raw_data = sparse_vstack([self._raw_data, xs_fresh]) if updated_indices: # cannot be reached due to the check above, # but will leave this here as a marker raise error_sparse_to_do else: self._raw_data = self._raw_data[original_order, :] for x_updated, i_fresh in zip(xs_updated, updated_indices): self._raw_data[i_fresh] = x_updated self._raw_data = np.ascontiguousarray(np.vstack([self._raw_data, xs_fresh])) ns, ds = self._neighbor_graph n_examples, n_neighbors = ns.shape indices_set = set(updated_indices) # for fast "is element" checks for i in range(n_examples): # maybe update whole row if i in indices_set: ns[i] = -1 ds[i] = np.inf continue # maybe update some columns for j in range(n_neighbors): if ns[i, j] in indices_set: ns[i, j] = -1 ds[i, j] = np.inf # update neighbors if self._is_sparse: raise error_sparse_to_do else: self.n_trees = self.n_trees_after_update self._rp_forest = make_forest( self._raw_data, self.n_neighbors, self.n_trees, self.leaf_size, rng_state, current_random_state, self.n_jobs, self._angular_trees, max_depth=self.max_rptree_depth, ) leaf_array = rptree_leaf_array(self._rp_forest) current_graph = make_heap(self._raw_data.shape[0], self.n_neighbors) init_from_neighbor_graph( current_graph, self._neighbor_graph[0], self._neighbor_graph[1] ) init_rp_tree(self._raw_data, self._distance_func, current_graph, leaf_array) if self.max_candidates is None: effective_max_candidates = min(60, self.n_neighbors) else: effective_max_candidates = self.max_candidates self._neighbor_graph = nn_descent( self._raw_data, self.n_neighbors, self.rng_state, effective_max_candidates, self._distance_func, self.n_iters, self.delta, init_graph=current_graph, low_memory=self.low_memory, rp_tree_init=False, leaf_array=np.array([[-1], [-1]]), verbose=self.verbose, ) # Remove search graph and search function # and rerun prepare if it was graph_data previously if ( hasattr(self, "_search_graph") or hasattr(self, "_search_function") or hasattr(self, "_search_forest") ): if hasattr(self, "_search_graph"): del self._search_graph if hasattr(self, "_search_forest"): del self._search_forest if hasattr(self, "_search_function"): del self._search_function self.prepare() class PyNNDescentTransformer(BaseEstimator, TransformerMixin): """PyNNDescentTransformer for fast approximate nearest neighbor transformer. It uses the NNDescent algorithm, and is thus very flexible and supports a wide variety of distances, including non-metric distances. NNDescent also scales well against high dimensional graph_data in many cases. Transform X into a (weighted) graph of k nearest neighbors The transformed graph_data is a sparse graph as returned by kneighbors_graph. Parameters ---------- n_neighbors: int (optional, default=5) The number of neighbors to use in k-neighbor graph graph_data structure used for fast approximate nearest neighbor search. Larger values will result in more accurate search results at the cost of computation time. metric: string or callable (optional, default='euclidean') The metric to use for computing nearest neighbors. If a callable is used it must be a numba njit compiled function. Supported metrics include: * euclidean * manhattan * chebyshev * minkowski * canberra * braycurtis * mahalanobis * wminkowski * seuclidean * cosine * correlation * haversine * hamming * jaccard * dice * russelrao * kulsinski * rogerstanimoto * sokalmichener * sokalsneath * yule * hellinger * wasserstein-1d Metrics that take arguments (such as minkowski, mahalanobis etc.) can have arguments passed via the metric_kwds dictionary. At this time care must be taken and dictionary elements must be ordered appropriately; this will hopefully be fixed in the future. metric_kwds: dict (optional, default {}) Arguments to pass on to the metric, such as the ``p`` value for Minkowski distance. n_trees: int (optional, default=None) This implementation uses random projection forests for initialization of searches. This parameter controls the number of trees in that forest. A larger number will result in more accurate neighbor computation at the cost of performance. The default of None means a value will be chosen based on the size of the graph_data. leaf_size: int (optional, default=None) The maximum number of points in a leaf for the random projection trees. The default of None means a value will be chosen based on n_neighbors. pruning_degree_multiplier: float (optional, default=1.5) How aggressively to prune the graph. Since the search graph is undirected (and thus includes nearest neighbors and reverse nearest neighbors) vertices can have very high degree -- the graph will be pruned such that no vertex has degree greater than ``pruning_degree_multiplier * n_neighbors``. diversify_prob: float (optional, default=1.0) The search graph get "diversified" by removing potentially unnecessary edges. This controls the volume of edges removed. A value of 0.0 ensures that no edges get removed, and larger values result in significantly more aggressive edge removal. A value of 1.0 will prune all edges that it can. n_search_trees: int (optional, default=1) The number of random projection trees to use in initializing searching or querying. .. deprecated:: 0.5.5 search_epsilon: float (optional, default=0.1) When searching for nearest neighbors of a query point this values controls the trade-off between accuracy and search cost. Larger values produce more accurate nearest neighbor results at larger computational cost for the search. Values should be in the range 0.0 to 0.5, but should probably not exceed 0.3 without good reason. tree_init: bool (optional, default=True) Whether to use random projection trees for initialization. random_state: int, RandomState instance or None, optional (default: None) If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by `np.random`. n_jobs: int or None (optional, default=None) The maximum number of parallel threads to be run at a time. If none this will default to using all the cores available. Note that there is not perfect parallelism, so at several pints the algorithm will be single threaded. low_memory: boolean (optional, default=False) Whether to use a lower memory, but more computationally expensive approach to index construction. This defaults to false as for most cases it speeds index construction, but if you are having issues with excessive memory use for your dataset consider setting this to True. max_candidates: int (optional, default=20) Internally each "self-join" keeps a maximum number of candidates ( nearest neighbors and reverse nearest neighbors) to be considered. This value controls this aspect of the algorithm. Larger values will provide more accurate search results later, but potentially at non-negligible computation cost in building the index. Don't tweak this value unless you know what you're doing. n_iters: int (optional, default=None) The maximum number of NN-descent iterations to perform. The NN-descent algorithm can abort early if limited progress is being made, so this only controls the worst case. Don't tweak this value unless you know what you're doing. The default of None means a value will be chosen based on the size of the graph_data. early_termination_value: float (optional, default=0.001) Controls the early abort due to limited progress. Larger values will result in earlier aborts, providing less accurate indexes, and less accurate searching. Don't tweak this value unless you know what you're doing. parallel_batch_queries: bool (optional, default=False) Whether to use parallelism of batched queries. This can be useful for large batches of queries on multicore machines, but results in performance degradation for single queries, so is poor for streaming use. verbose: bool (optional, default=False) Whether to print status graph_data during the computation. Examples -------- >>> from sklearn.manifold import Isomap >>> from pynndescent import PyNNDescentTransformer >>> from sklearn.pipeline import make_pipeline >>> estimator = make_pipeline( ... PyNNDescentTransformer(n_neighbors=5), ... Isomap(neighbors_algorithm='precomputed')) """ def __init__( self, n_neighbors=30, metric="euclidean", metric_kwds=None, n_trees=None, leaf_size=None, search_epsilon=0.1, pruning_degree_multiplier=1.5, diversify_prob=1.0, n_search_trees=1, tree_init=True, random_state=None, n_jobs=None, low_memory=True, max_candidates=None, n_iters=None, early_termination_value=0.001, parallel_batch_queries=False, verbose=False, ): self.n_neighbors = n_neighbors self.metric = metric self.metric_kwds = metric_kwds self.n_trees = n_trees self.leaf_size = leaf_size self.search_epsilon = search_epsilon self.pruning_degree_multiplier = pruning_degree_multiplier self.diversify_prob = diversify_prob self.n_search_trees = n_search_trees self.tree_init = tree_init self.random_state = random_state self.low_memory = low_memory self.max_candidates = max_candidates self.n_iters = n_iters self.early_termination_value = early_termination_value self.n_jobs = n_jobs self.parallel_batch_queries = parallel_batch_queries self.verbose = verbose def fit(self, X, compress_index=True): """Fit the PyNNDescent transformer to build KNN graphs with neighbors given by the dataset X. Parameters ---------- X : array-like, shape (n_samples, n_features) Sample graph_data Returns ------- transformer : PyNNDescentTransformer The trained transformer """ self.n_samples_fit = X.shape[0] if self.metric_kwds is None: metric_kwds = {} else: metric_kwds = self.metric_kwds if self.verbose: print(ts(), "Creating index") # Compatibility with sklearn, which doesn't consider # a point its own neighbor for these purposes. effective_n_neighbors = self.n_neighbors + 1 self.index_ = NNDescent( X, metric=self.metric, metric_kwds=metric_kwds, n_neighbors=effective_n_neighbors, n_trees=self.n_trees, leaf_size=self.leaf_size, pruning_degree_multiplier=self.pruning_degree_multiplier, diversify_prob=self.diversify_prob, n_search_trees=self.n_search_trees, tree_init=self.tree_init, random_state=self.random_state, low_memory=self.low_memory, max_candidates=self.max_candidates, n_iters=self.n_iters, delta=self.early_termination_value, n_jobs=self.n_jobs, compressed=compress_index, parallel_batch_queries=self.parallel_batch_queries, verbose=self.verbose, ) return self def transform(self, X, y=None): """Computes the (weighted) graph of Neighbors for points in X Parameters ---------- X : array-like, shape (n_samples_transform, n_features) Sample graph_data Returns ------- Xt : CSR sparse matrix, shape (n_samples_transform, n_samples_fit) Xt[i, j] is assigned the weight of edge that connects i to j. Only the neighbors have an explicit value. """ if X is None: n_samples_transform = self.n_samples_fit else: n_samples_transform = X.shape[0] if X is None: indices, distances = self.index_.neighbor_graph else: indices, distances = self.index_.query( X, k=self.n_neighbors, epsilon=self.search_epsilon ) if self.verbose: print(ts(), "Constructing neighbor matrix") result = coo_matrix((n_samples_transform, self.n_samples_fit), dtype=np.float32) result.row = np.repeat( np.arange(indices.shape[0], dtype=np.int32), indices.shape[1] ) result.col = indices.ravel() result.data = distances.ravel() return result.tocsr() def fit_transform(self, X, y=None, **fit_params): """Fit to graph_data, then transform it. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X. Parameters ---------- X : numpy array of shape (n_samples, n_features) Training set. y : ignored Returns ------- Xt : CSR sparse matrix, shape (n_samples, n_samples) Xt[i, j] is assigned the weight of edge that connects i to j. Only the neighbors have an explicit value. The diagonal is always explicit. """ self.fit(X, compress_index=False) result = self.transform(X=None) if self.verbose: print(ts(), "Compressing index") self.index_.compress_index() return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/rp_trees.py0000644000175100017510000027647015130020663017434 0ustar00vstsvsts# Author: Leland McInnes # # License: BSD 2 clause from warnings import warn import numpy as np import numba import scipy.sparse from pynndescent.sparse import ( sparse_mul, sparse_diff, sparse_sum, arr_intersect, sparse_dot_product, ) from pynndescent.utils import tau_rand_int, norm import joblib from collections import namedtuple # Used for a floating point "nearly zero" comparison EPS = 1e-8 INT32_MIN = np.iinfo(np.int32).min + 1 INT32_MAX = np.iinfo(np.int32).max - 1 FlatTree = namedtuple( "FlatTree", ["hyperplanes", "offsets", "children", "indices", "leaf_size"] ) dense_hyperplane_type = numba.float32[::1] sparse_hyperplane_type = numba.float64[:, ::1] bit_hyperplane_type = numba.uint8[::1] offset_type = numba.float64 children_type = numba.typeof((np.int32(-1), np.int32(-1))) point_indices_type = numba.int32[::1] popcnt = np.array([bin(i).count("1") for i in range(256)], dtype=np.float32) @numba.njit( numba.types.Tuple( (numba.int32[::1], numba.int32[::1], dense_hyperplane_type, offset_type) )(numba.float32[:, ::1], numba.int32[::1], numba.int64[::1]), locals={ "n_left": numba.uint32, "n_right": numba.uint32, "hyperplane_vector": numba.float32[::1], "hyperplane_offset": numba.float32, "margin": numba.float32, "d": numba.uint32, "i": numba.uint32, "left_index": numba.uint32, "right_index": numba.uint32, }, fastmath=True, nogil=True, cache=True, ) def angular_random_projection_split(data, indices, rng_state): """Given a set of ``graph_indices`` for graph_data points from ``graph_data``, create a random hyperplane to split the graph_data, returning two arrays graph_indices that fall on either side of the hyperplane. This is the basis for a random projection tree, which simply uses this splitting recursively. This particular split uses cosine distance to determine the hyperplane and which side each graph_data sample falls on. Parameters ---------- data: array of shape (n_samples, n_features) The original graph_data to be split indices: array of shape (tree_node_size,) The graph_indices of the elements in the ``graph_data`` array that are to be split in the current operation. rng_state: array of int64, shape (3,) The internal state of the rng Returns ------- indices_left: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. indices_right: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. """ dim = data.shape[1] # Select two random points, set the hyperplane between them left_index = tau_rand_int(rng_state) % indices.shape[0] right_index = tau_rand_int(rng_state) % indices.shape[0] right_index += left_index == right_index right_index = right_index % indices.shape[0] left = indices[left_index] right = indices[right_index] left_norm = norm(data[left]) right_norm = norm(data[right]) if abs(left_norm) < EPS: left_norm = 1.0 if abs(right_norm) < EPS: right_norm = 1.0 # Compute the normal vector to the hyperplane (the vector between # the two points) hyperplane_vector = np.empty(dim, dtype=np.float32) for d in range(dim): hyperplane_vector[d] = (data[left, d] / left_norm) - ( data[right, d] / right_norm ) hyperplane_norm = norm(hyperplane_vector) if abs(hyperplane_norm) < EPS: hyperplane_norm = 1.0 for d in range(dim): hyperplane_vector[d] = hyperplane_vector[d] / hyperplane_norm # For each point compute the margin (project into normal vector) # If we are on lower side of the hyperplane put in one pile, otherwise # put it in the other pile (if we hit hyperplane on the nose, flip a coin) n_left = 0 n_right = 0 side = np.empty(indices.shape[0], np.int8) for i in range(indices.shape[0]): margin = 0.0 for d in range(dim): margin += hyperplane_vector[d] * data[indices[i], d] if abs(margin) < EPS: side[i] = tau_rand_int(rng_state) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 elif margin > 0: side[i] = 0 n_left += 1 else: side[i] = 1 n_right += 1 # If all points end up on one side, something went wrong numerically # In this case, assign points randomly; they are likely very close anyway if n_left == 0 or n_right == 0: n_left = 0 n_right = 0 for i in range(indices.shape[0]): side[i] = tau_rand_int(rng_state) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 # Now that we have the counts allocate arrays indices_left = np.empty(n_left, dtype=np.int32) indices_right = np.empty(n_right, dtype=np.int32) # Populate the arrays with graph_indices according to which side they fell on n_left = 0 n_right = 0 for i in range(side.shape[0]): if side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 return indices_left, indices_right, hyperplane_vector, 0.0 @numba.njit( numba.types.Tuple( (numba.int32[::1], numba.int32[::1], bit_hyperplane_type, offset_type) )(numba.uint8[:, ::1], numba.int32[::1], numba.int64[::1]), locals={ "n_left": numba.uint32, "n_right": numba.uint32, "hyperplane_vector": numba.uint8[::1], "hyperplane_offset": numba.float32, "margin": numba.float32, "d": numba.uint32, "i": numba.uint32, "left_index": numba.uint32, "right_index": numba.uint32, }, fastmath=True, nogil=True, cache=True, ) def angular_bitpacked_random_projection_split(data, indices, rng_state): """Given a set of ``graph_indices`` for graph_data points from ``graph_data``, create a random hyperplane to split the graph_data, returning two arrays graph_indices that fall on either side of the hyperplane. This is the basis for a random projection tree, which simply uses this splitting recursively. This particular split uses cosine distance to determine the hyperplane and which side each graph_data sample falls on. Parameters ---------- data: array of shape (n_samples, n_features) The original graph_data to be split indices: array of shape (tree_node_size,) The graph_indices of the elements in the ``graph_data`` array that are to be split in the current operation. rng_state: array of int64, shape (3,) The internal state of the rng Returns ------- indices_left: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. indices_right: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. """ dim = data.shape[1] # Select two random points, set the hyperplane between them left_index = tau_rand_int(rng_state) % indices.shape[0] right_index = tau_rand_int(rng_state) % indices.shape[0] right_index += left_index == right_index right_index = right_index % indices.shape[0] left = indices[left_index] right = indices[right_index] left_norm = 0.0 right_norm = 0.0 # Compute the normal vector to the hyperplane (the vector between # the two points) hyperplane_vector = np.empty(dim * 2, dtype=np.uint8) positive_hyperplane_component = hyperplane_vector[:dim] negative_hyperplane_component = hyperplane_vector[dim:] for d in range(dim): xor_vector = (data[left, d]) ^ (data[right, d]) positive_hyperplane_component[d] = xor_vector & (data[left, d]) negative_hyperplane_component[d] = xor_vector & (data[right, d]) hyperplane_norm = 0.0 for d in range(dim): hyperplane_norm += popcnt[hyperplane_vector[d]] left_norm += popcnt[data[left, d]] right_norm += popcnt[data[right, d]] # For each point compute the margin (project into normal vector) # If we are on lower side of the hyperplane put in one pile, otherwise # put it in the other pile (if we hit hyperplane on the nose, flip a coin) n_left = 0 n_right = 0 side = np.empty(indices.shape[0], np.int8) for i in range(indices.shape[0]): margin = 0.0 for d in range(dim): margin += popcnt[positive_hyperplane_component[d] & data[indices[i], d]] margin -= popcnt[negative_hyperplane_component[d] & data[indices[i], d]] if abs(margin) < EPS: side[i] = tau_rand_int(rng_state) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 elif margin > 0: side[i] = 0 n_left += 1 else: side[i] = 1 n_right += 1 # If all points end up on one side, something went wrong numerically # In this case, assign points randomly; they are likely very close anyway if n_left == 0 or n_right == 0: n_left = 0 n_right = 0 for i in range(indices.shape[0]): side[i] = tau_rand_int(rng_state) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 # Now that we have the counts allocate arrays indices_left = np.empty(n_left, dtype=np.int32) indices_right = np.empty(n_right, dtype=np.int32) # Populate the arrays with graph_indices according to which side they fell on n_left = 0 n_right = 0 for i in range(side.shape[0]): if side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 return indices_left, indices_right, hyperplane_vector, 0.0 @numba.njit( numba.types.Tuple( (numba.int32[::1], numba.int32[::1], dense_hyperplane_type, offset_type) )(numba.float32[:, ::1], numba.int32[::1], numba.int64[::1]), locals={ "n_left": numba.uint32, "n_right": numba.uint32, "hyperplane_vector": numba.float32[::1], "hyperplane_offset": numba.float32, "margin": numba.float32, "d": numba.uint32, "i": numba.uint32, "left_index": numba.uint32, "right_index": numba.uint32, }, fastmath=True, nogil=True, cache=True, ) def euclidean_random_projection_split(data, indices, rng_state): """Given a set of ``graph_indices`` for graph_data points from ``graph_data``, create a random hyperplane to split the graph_data, returning two arrays graph_indices that fall on either side of the hyperplane. This is the basis for a random projection tree, which simply uses this splitting recursively. This particular split uses euclidean distance to determine the hyperplane and which side each graph_data sample falls on. Parameters ---------- data: array of shape (n_samples, n_features) The original graph_data to be split indices: array of shape (tree_node_size,) The graph_indices of the elements in the ``graph_data`` array that are to be split in the current operation. rng_state: array of int64, shape (3,) The internal state of the rng Returns ------- indices_left: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. indices_right: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. """ dim = data.shape[1] # Select two random points, set the hyperplane between them left_index = tau_rand_int(rng_state) % indices.shape[0] right_index = tau_rand_int(rng_state) % indices.shape[0] right_index += left_index == right_index right_index = right_index % indices.shape[0] left = indices[left_index] right = indices[right_index] # Compute the normal vector to the hyperplane (the vector between # the two points) and the offset from the origin hyperplane_offset = 0.0 hyperplane_vector = np.empty(dim, dtype=np.float32) for d in range(dim): hyperplane_vector[d] = data[left, d] - data[right, d] hyperplane_offset -= ( hyperplane_vector[d] * (data[left, d] + data[right, d]) / 2.0 ) # For each point compute the margin (project into normal vector, add offset) # If we are on lower side of the hyperplane put in one pile, otherwise # put it in the other pile (if we hit hyperplane on the nose, flip a coin) n_left = 0 n_right = 0 side = np.empty(indices.shape[0], np.int8) for i in range(indices.shape[0]): margin = hyperplane_offset for d in range(dim): margin += hyperplane_vector[d] * data[indices[i], d] if abs(margin) < EPS: side[i] = abs(tau_rand_int(rng_state)) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 elif margin > 0: side[i] = 0 n_left += 1 else: side[i] = 1 n_right += 1 # If all points end up on one side, something went wrong numerically # In this case, assign points randomly; they are likely very close anyway if n_left == 0 or n_right == 0: n_left = 0 n_right = 0 for i in range(indices.shape[0]): side[i] = tau_rand_int(rng_state) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 # Now that we have the counts allocate arrays indices_left = np.empty(n_left, dtype=np.int32) indices_right = np.empty(n_right, dtype=np.int32) # Populate the arrays with graph_indices according to which side they fell on n_left = 0 n_right = 0 for i in range(side.shape[0]): if side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 return indices_left, indices_right, hyperplane_vector, hyperplane_offset @numba.njit( fastmath=True, nogil=True, cache=True, locals={ "normalized_left_data": numba.types.float32[::1], "normalized_right_data": numba.types.float32[::1], "hyperplane_norm": numba.types.float32, "i": numba.types.uint32, }, ) def sparse_angular_random_projection_split(inds, indptr, data, indices, rng_state): """Given a set of ``graph_indices`` for graph_data points from a sparse graph_data set presented in csr sparse format as inds, graph_indptr and graph_data, create a random hyperplane to split the graph_data, returning two arrays graph_indices that fall on either side of the hyperplane. This is the basis for a random projection tree, which simply uses this splitting recursively. This particular split uses cosine distance to determine the hyperplane and which side each graph_data sample falls on. Parameters ---------- inds: array CSR format index array of the matrix indptr: array CSR format index pointer array of the matrix data: array CSR format graph_data array of the matrix indices: array of shape (tree_node_size,) The graph_indices of the elements in the ``graph_data`` array that are to be split in the current operation. rng_state: array of int64, shape (3,) The internal state of the rng Returns ------- indices_left: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. indices_right: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. """ # Select two random points, set the hyperplane between them left_index = tau_rand_int(rng_state) % indices.shape[0] right_index = tau_rand_int(rng_state) % indices.shape[0] right_index += left_index == right_index right_index = right_index % indices.shape[0] left = indices[left_index] right = indices[right_index] left_inds = inds[indptr[left] : indptr[left + 1]] left_data = data[indptr[left] : indptr[left + 1]] right_inds = inds[indptr[right] : indptr[right + 1]] right_data = data[indptr[right] : indptr[right + 1]] left_norm = norm(left_data) right_norm = norm(right_data) if abs(left_norm) < EPS: left_norm = 1.0 if abs(right_norm) < EPS: right_norm = 1.0 # Compute the normal vector to the hyperplane (the vector between # the two points) normalized_left_data = (left_data / left_norm).astype(np.float32) normalized_right_data = (right_data / right_norm).astype(np.float32) hyperplane_inds, hyperplane_data = sparse_diff( left_inds, normalized_left_data, right_inds, normalized_right_data ) hyperplane_norm = norm(hyperplane_data) if abs(hyperplane_norm) < EPS: hyperplane_norm = 1.0 for d in range(hyperplane_data.shape[0]): hyperplane_data[d] = hyperplane_data[d] / hyperplane_norm # For each point compute the margin (project into normal vector) # If we are on lower side of the hyperplane put in one pile, otherwise # put it in the other pile (if we hit hyperplane on the nose, flip a coin) n_left = 0 n_right = 0 side = np.empty(indices.shape[0], np.int8) for i in range(indices.shape[0]): margin = 0.0 i_inds = inds[indptr[indices[i]] : indptr[indices[i] + 1]] i_data = data[indptr[indices[i]] : indptr[indices[i] + 1]] _, mul_data = sparse_mul(hyperplane_inds, hyperplane_data, i_inds, i_data) for val in mul_data: margin += val if abs(margin) < EPS: side[i] = tau_rand_int(rng_state) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 elif margin > 0: side[i] = 0 n_left += 1 else: side[i] = 1 n_right += 1 # If all points end up on one side, something went wrong numerically # In this case, assign points randomly; they are likely very close anyway if n_left == 0 or n_right == 0: n_left = 0 n_right = 0 for i in range(indices.shape[0]): side[i] = tau_rand_int(rng_state) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 # Now that we have the counts allocate arrays indices_left = np.empty(n_left, dtype=np.int32) indices_right = np.empty(n_right, dtype=np.int32) # Populate the arrays with graph_indices according to which side they fell on n_left = 0 n_right = 0 for i in range(side.shape[0]): if side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 hyperplane = np.vstack((hyperplane_inds, hyperplane_data)) return indices_left, indices_right, hyperplane, 0.0 @numba.njit(fastmath=True, nogil=True, cache=True) def sparse_euclidean_random_projection_split(inds, indptr, data, indices, rng_state): """Given a set of ``graph_indices`` for graph_data points from a sparse graph_data set presented in csr sparse format as inds, graph_indptr and graph_data, create a random hyperplane to split the graph_data, returning two arrays graph_indices that fall on either side of the hyperplane. This is the basis for a random projection tree, which simply uses this splitting recursively. This particular split uses cosine distance to determine the hyperplane and which side each graph_data sample falls on. Parameters ---------- inds: array CSR format index array of the matrix indptr: array CSR format index pointer array of the matrix data: array CSR format graph_data array of the matrix indices: array of shape (tree_node_size,) The graph_indices of the elements in the ``graph_data`` array that are to be split in the current operation. rng_state: array of int64, shape (3,) The internal state of the rng Returns ------- indices_left: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. indices_right: array The elements of ``graph_indices`` that fall on the "left" side of the random hyperplane. """ # Select two random points, set the hyperplane between them left_index = np.abs(tau_rand_int(rng_state)) % indices.shape[0] right_index = np.abs(tau_rand_int(rng_state)) % indices.shape[0] right_index += left_index == right_index right_index = right_index % indices.shape[0] left = indices[left_index] right = indices[right_index] left_inds = inds[indptr[left] : indptr[left + 1]] left_data = data[indptr[left] : indptr[left + 1]] right_inds = inds[indptr[right] : indptr[right + 1]] right_data = data[indptr[right] : indptr[right + 1]] # Compute the normal vector to the hyperplane (the vector between # the two points) and the offset from the origin hyperplane_offset = 0.0 hyperplane_inds, hyperplane_data = sparse_diff( left_inds, left_data, right_inds, right_data ) offset_inds, offset_data = sparse_sum(left_inds, left_data, right_inds, right_data) offset_data = offset_data / 2.0 offset_inds, offset_data = sparse_mul( hyperplane_inds, hyperplane_data, offset_inds, offset_data.astype(np.float32) ) for val in offset_data: hyperplane_offset -= val # For each point compute the margin (project into normal vector, add offset) # If we are on lower side of the hyperplane put in one pile, otherwise # put it in the other pile (if we hit hyperplane on the nose, flip a coin) n_left = 0 n_right = 0 side = np.empty(indices.shape[0], np.int8) for i in range(indices.shape[0]): margin = hyperplane_offset i_inds = inds[indptr[indices[i]] : indptr[indices[i] + 1]] i_data = data[indptr[indices[i]] : indptr[indices[i] + 1]] _, mul_data = sparse_mul(hyperplane_inds, hyperplane_data, i_inds, i_data) for val in mul_data: margin += val if abs(margin) < EPS: side[i] = abs(tau_rand_int(rng_state)) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 elif margin > 0: side[i] = 0 n_left += 1 else: side[i] = 1 n_right += 1 # If all points end up on one side, something went wrong numerically # In this case, assign points randomly; they are likely very close anyway if n_left == 0 or n_right == 0: n_left = 0 n_right = 0 for i in range(indices.shape[0]): side[i] = abs(tau_rand_int(rng_state)) % 2 if side[i] == 0: n_left += 1 else: n_right += 1 # Now that we have the counts allocate arrays indices_left = np.empty(n_left, dtype=np.int32) indices_right = np.empty(n_right, dtype=np.int32) # Populate the arrays with graph_indices according to which side they fell on n_left = 0 n_right = 0 for i in range(side.shape[0]): if side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 hyperplane = np.vstack((hyperplane_inds, hyperplane_data)) return indices_left, indices_right, hyperplane, hyperplane_offset # ============================================================================ # Graph-informed tree construction # ============================================================================ # Threshold below which we skip edge-cut optimization and just use hub-based split # This greatly speeds up tree construction for large datasets FAST_SPLIT_THRESHOLD = 5000 @numba.njit( fastmath=True, nogil=True, cache=False, ) def binary_search(sorted_arr, value): """Binary search returning index if found, -1 otherwise.""" lo = 0 hi = sorted_arr.shape[0] - 1 while lo <= hi: mid = (lo + hi) // 2 if sorted_arr[mid] == value: return mid elif sorted_arr[mid] < value: lo = mid + 1 else: hi = mid - 1 return -1 @numba.njit( fastmath=True, nogil=True, cache=False, ) def compute_global_degrees(neighbor_indices): """Compute global in-degree for all points in the graph. In-degree of a point is how many times it appears as a neighbor of other points. This is computed once and reused throughout tree construction. Parameters ---------- neighbor_indices : array of shape (n_samples, n_neighbors) The neighbor graph indices. Returns ------- global_degrees : array of shape (n_samples,) The in-degree of each point. """ n_points = neighbor_indices.shape[0] global_degrees = np.zeros(n_points, dtype=np.int32) for i in range(n_points): for j in range(neighbor_indices.shape[1]): neighbor = neighbor_indices[i, j] if neighbor >= 0 and neighbor < n_points: global_degrees[neighbor] += 1 return global_degrees @numba.njit( fastmath=True, nogil=True, cache=False, ) def get_top_k_hub_indices(indices, global_degrees, k=5): """Get the indices of the top k highest-degree points from a subset. Uses an efficient O(n) selection for small k by maintaining a min-heap of k elements. Parameters ---------- indices : array of shape (n,) The point indices in the current split. global_degrees : array of shape (n_total,) Precomputed global degrees for all points. k : int Number of top hubs to return. Returns ------- top_hubs : array of shape (min(k, n),) The actual point indices (not positions) of the top k hubs. """ n_points = indices.shape[0] actual_k = min(k, n_points) # For small k, use a simple insertion-sort-based approach which is O(n*k) # but with very low constants for small k top_degrees = np.full(actual_k, np.int32(-1), dtype=np.int32) top_indices = np.empty(actual_k, dtype=np.int32) for i in range(n_points): deg = global_degrees[indices[i]] # Check if this degree is larger than the smallest in our top-k if deg > top_degrees[actual_k - 1]: # Find insertion point (sorted descending) insert_pos = actual_k - 1 while insert_pos > 0 and deg > top_degrees[insert_pos - 1]: insert_pos -= 1 # Shift elements down for j in range(actual_k - 1, insert_pos, -1): top_degrees[j] = top_degrees[j - 1] top_indices[j] = top_indices[j - 1] # Insert new element top_degrees[insert_pos] = deg top_indices[insert_pos] = indices[i] return top_indices # Minimum split balance threshold - if best split is worse than this, don't split # A balance of 0.1 means 10/90 split which is quite unbalanced MIN_SPLIT_BALANCE = 0.1 @numba.njit( fastmath=True, nogil=True, cache=False, ) def euclidean_hub_split(data, indices, neighbor_indices, global_degrees, rng_state): """Hub-based graph-informed split using balance-based selection. Uses the top 3 highest-degree nodes to generate all 3 possible hyperplanes, then selects the one with the best balance (closest to 50/50 split). This is much faster than edge-cut counting while still producing good quality trees. Parameters ---------- data : array of shape (n_samples, n_features) The data array. indices : array of shape (n,) Indices of points in this node. neighbor_indices : array of shape (n_samples, n_neighbors) The neighbor graph. global_degrees : array of shape (n_samples,) Precomputed global in-degrees. rng_state : array of int64, shape (3,) RNG state (only used for fallback). Returns ------- indices_left, indices_right, hyperplane, offset, balance The balance is returned so the caller can decide whether to accept the split. """ dim = data.shape[1] n_points = indices.shape[0] # Get top 3 hubs from this subset (3 pairs) top_hubs = get_top_k_hub_indices(indices, global_degrees, 3) n_hubs = top_hubs.shape[0] # Storage for best result best_balance = np.float32(0.0) # Closer to 0.5 is better best_n_left = np.uint32(0) best_n_right = np.uint32(0) best_hyperplane = np.zeros(dim, dtype=np.float32) best_offset = np.float32(0.0) best_side = np.zeros(n_points, dtype=np.int8) side = np.empty(n_points, dtype=np.int8) # Evaluate all hub pairs and pick the most balanced split for hi in range(n_hubs): for hj in range(hi + 1, n_hubs): left = top_hubs[hi] right = top_hubs[hj] # Compute the hyperplane between the two hub points hyperplane_offset = np.float32(0.0) hyperplane_vector = np.empty(dim, dtype=np.float32) for d in range(dim): hyperplane_vector[d] = data[left, d] - data[right, d] hyperplane_offset -= ( hyperplane_vector[d] * (data[left, d] + data[right, d]) / 2.0 ) # Project all points onto hyperplane n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): margin = hyperplane_offset for d in range(dim): margin += hyperplane_vector[d] * data[indices[i], d] if margin > EPS: side[i] = 0 n_left += 1 elif margin < -EPS: side[i] = 1 n_right += 1 else: side[i] = i % 2 if side[i] == 0: n_left += 1 else: n_right += 1 # Skip invalid splits if n_left == 0 or n_right == 0: continue # Score by balance (how close to 50/50) balance = np.float32(min(n_left, n_right)) / np.float32(n_points) if balance > best_balance: best_balance = balance best_n_left = n_left best_n_right = n_right best_offset = hyperplane_offset for d in range(dim): best_hyperplane[d] = hyperplane_vector[d] for i in range(n_points): best_side[i] = side[i] # If no valid candidate found, fall back to random assignment if best_n_left == 0 or best_n_right == 0: best_n_left = np.uint32(0) best_n_right = np.uint32(0) for i in range(n_points): best_side[i] = np.abs(tau_rand_int(rng_state)) % 2 if best_side[i] == 0: best_n_left += 1 else: best_n_right += 1 # Allocate and populate result arrays indices_left = np.empty(best_n_left, dtype=np.int32) indices_right = np.empty(best_n_right, dtype=np.int32) n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): if best_side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 return indices_left, indices_right, best_hyperplane, best_offset, best_balance @numba.njit( fastmath=True, nogil=True, cache=False, ) def angular_hub_split(data, indices, neighbor_indices, global_degrees, rng_state): """Angular hub-based split using balance-based selection. Uses the top 3 highest-degree nodes to generate all 3 possible hyperplanes, then selects the one with the best balance (closest to 50/50 split). Returns ------- indices_left, indices_right, hyperplane, offset, balance The balance is returned so the caller can decide whether to accept the split. """ dim = data.shape[1] n_points = indices.shape[0] # Get top 3 hubs from this subset (3 pairs) top_hubs = get_top_k_hub_indices(indices, global_degrees, 3) n_hubs = top_hubs.shape[0] # Storage for best result best_balance = np.float32(0.0) best_n_left = np.uint32(0) best_n_right = np.uint32(0) best_hyperplane = np.zeros(dim, dtype=np.float32) best_side = np.zeros(n_points, dtype=np.int8) side = np.empty(n_points, dtype=np.int8) # Evaluate all hub pairs and pick the most balanced split for hi in range(n_hubs): for hj in range(hi + 1, n_hubs): left = top_hubs[hi] right = top_hubs[hj] # Compute normalized hyperplane (angular distance) left_norm = norm(data[left]) right_norm = norm(data[right]) if abs(left_norm) < EPS: left_norm = 1.0 if abs(right_norm) < EPS: right_norm = 1.0 hyperplane_vector = np.empty(dim, dtype=np.float32) for d in range(dim): hyperplane_vector[d] = (data[left, d] / left_norm) - ( data[right, d] / right_norm ) hyperplane_norm = norm(hyperplane_vector) if abs(hyperplane_norm) < EPS: hyperplane_norm = 1.0 for d in range(dim): hyperplane_vector[d] = hyperplane_vector[d] / hyperplane_norm # Project all points onto hyperplane n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): margin = np.float32(0.0) for d in range(dim): margin += hyperplane_vector[d] * data[indices[i], d] if margin > EPS: side[i] = 0 n_left += 1 elif margin < -EPS: side[i] = 1 n_right += 1 else: side[i] = i % 2 if side[i] == 0: n_left += 1 else: n_right += 1 # Skip invalid splits if n_left == 0 or n_right == 0: continue # Score by balance balance = np.float32(min(n_left, n_right)) / np.float32(n_points) if balance > best_balance: best_balance = balance best_n_left = n_left best_n_right = n_right for d in range(dim): best_hyperplane[d] = hyperplane_vector[d] for i in range(n_points): best_side[i] = side[i] # If no valid candidate found, fall back to random assignment if best_n_left == 0 or best_n_right == 0: best_n_left = np.uint32(0) best_n_right = np.uint32(0) for i in range(n_points): best_side[i] = np.abs(tau_rand_int(rng_state)) % 2 if best_side[i] == 0: best_n_left += 1 else: best_n_right += 1 # Allocate and populate result arrays indices_left = np.empty(best_n_left, dtype=np.int32) indices_right = np.empty(best_n_right, dtype=np.int32) n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): if best_side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 return indices_left, indices_right, best_hyperplane, np.float32(0.0), best_balance @numba.njit( nogil=True, cache=False, locals={"left_node_num": numba.types.int32, "right_node_num": numba.types.int32}, ) def make_hub_euclidean_tree( data, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): """Recursive tree builder using hub-based splits. Stops splitting if: - Node size <= leaf_size - max_depth reached - Best split balance < MIN_SPLIT_BALANCE (creates larger leaf instead of bad split) """ if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, balance, ) = euclidean_hub_split( data, indices, neighbor_indices, global_degrees, rng_state ) # If split is too unbalanced, make a leaf instead if balance < MIN_SPLIT_BALANCE: hyperplanes.append(np.array([-1.0], dtype=np.float32)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return make_hub_euclidean_tree( data, left_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_hub_euclidean_tree( data, right_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([-1.0], dtype=np.float32)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit( nogil=True, cache=False, locals={"left_node_num": numba.types.int32, "right_node_num": numba.types.int32}, ) def make_hub_angular_tree( data, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): """Recursive tree builder using angular hub-based splits. Stops splitting if: - Node size <= leaf_size - max_depth reached - Best split balance < MIN_SPLIT_BALANCE (creates larger leaf instead of bad split) """ if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, balance, ) = angular_hub_split( data, indices, neighbor_indices, global_degrees, rng_state ) # If split is too unbalanced, make a leaf instead if balance < MIN_SPLIT_BALANCE: hyperplanes.append(np.array([-1.0], dtype=np.float32)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return make_hub_angular_tree( data, left_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_hub_angular_tree( data, right_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([-1.0], dtype=np.float32)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit(nogil=True, cache=False) def make_hub_tree( data, neighbor_indices, rng_state, leaf_size=30, angular=False, max_depth=200, ): """Build an RP tree using simplified hub-based hyperplane selection. This version precomputes global degrees once and uses the top 3 highest-degree nodes at each split to generate all 3 possible hyperplanes. This is simpler and significantly faster than the random sampling approach while maintaining or improving tree quality. Parameters ---------- data : array of shape (n_samples, n_features) The data to build the tree on. neighbor_indices : array of shape (n_samples, n_neighbors) The neighbor graph indices. rng_state : array of int64, shape (3,) The internal state of the rng. leaf_size : int The maximum size of a leaf node. angular : bool Whether to use angular (cosine) or euclidean distance. max_depth : int Maximum tree depth. Returns ------- tree : FlatTree The constructed tree. """ # Precompute global degrees ONCE global_degrees = compute_global_degrees(neighbor_indices) indices = np.arange(data.shape[0]).astype(np.int32) hyperplanes = numba.typed.List.empty_list(dense_hyperplane_type) offsets = numba.typed.List.empty_list(offset_type) children = numba.typed.List.empty_list(children_type) point_indices = numba.typed.List.empty_list(point_indices_type) if angular: make_hub_angular_tree( data, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) else: make_hub_euclidean_tree( data, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) max_leaf_size = leaf_size for points in point_indices: if len(points) > max_leaf_size: max_leaf_size = numba.int32(len(points)) result = FlatTree(hyperplanes, offsets, children, point_indices, max_leaf_size) return result # ============================================================================ # Simplified Sparse Hub Trees # ============================================================================ @numba.njit( fastmath=True, nogil=True, cache=False, ) def sparse_euclidean_hub_split( inds, indptr, spdata, indices, neighbor_indices, global_degrees, rng_state ): """Simplified hub-based split for sparse euclidean data. Uses the top 3 highest-degree nodes to generate 3 possible hyperplanes, then selects the one that minimizes edge cuts. """ n_points = indices.shape[0] # Get top 3 hubs from this subset top_hubs = get_top_k_hub_indices(indices, global_degrees, 3) n_hubs = top_hubs.shape[0] # Build lookup idx_to_pos = np.full(neighbor_indices.shape[0], -1, dtype=np.int32) for i in range(n_points): idx_to_pos[indices[i]] = i # Storage for best result best_hyperplane_inds = np.array([np.int32(-1)]) best_hyperplane_data = np.array([np.float32(-1.0)]) best_offset = np.float64(0.0) best_side = np.empty(n_points, dtype=np.int8) best_edge_cuts = np.uint32(0xFFFFFFFF) best_n_left = np.uint32(0) best_n_right = np.uint32(0) side = np.empty(n_points, dtype=np.int8) # Evaluate all hub pairs (only 3 pairs for k=3) for hi in range(n_hubs): for hj in range(hi + 1, n_hubs): left = top_hubs[hi] right = top_hubs[hj] left_inds = inds[indptr[left] : indptr[left + 1]] left_data = spdata[indptr[left] : indptr[left + 1]] right_inds = inds[indptr[right] : indptr[right + 1]] right_data = spdata[indptr[right] : indptr[right + 1]] # Compute hyperplane hyperplane_offset = np.float64(0.0) hyperplane_inds, hyperplane_data = sparse_diff( left_inds, left_data, right_inds, right_data ) offset_inds, offset_data = sparse_sum( left_inds, left_data, right_inds, right_data ) offset_data = offset_data / 2.0 offset_inds, offset_data = sparse_mul( hyperplane_inds, hyperplane_data, offset_inds, offset_data.astype(np.float32), ) for val in offset_data: hyperplane_offset -= val # Project all points n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): margin = hyperplane_offset i_inds = inds[indptr[indices[i]] : indptr[indices[i] + 1]] i_data = spdata[indptr[indices[i]] : indptr[indices[i] + 1]] _, mul_data = sparse_mul( hyperplane_inds, hyperplane_data, i_inds, i_data ) for val in mul_data: margin += val if margin > EPS: side[i] = 0 n_left += 1 elif margin < -EPS: side[i] = 1 n_right += 1 else: side[i] = i % 2 if side[i] == 0: n_left += 1 else: n_right += 1 if n_left == 0 or n_right == 0: continue # Count edge cuts edge_cuts = np.uint32(0) for i in range(n_points): point_idx = indices[i] point_side = side[i] for j_nb in range(neighbor_indices.shape[1]): neighbor = neighbor_indices[point_idx, j_nb] if neighbor < 0: break neighbor_pos = idx_to_pos[neighbor] if neighbor_pos >= 0: if side[neighbor_pos] != point_side: edge_cuts += 1 edge_cuts = edge_cuts // 2 if edge_cuts < best_edge_cuts: best_edge_cuts = edge_cuts best_n_left = n_left best_n_right = n_right best_hyperplane_inds = hyperplane_inds.copy() best_hyperplane_data = hyperplane_data.copy() best_offset = hyperplane_offset for i in range(n_points): best_side[i] = side[i] # Fallback if best_n_left == 0 or best_n_right == 0: best_n_left = np.uint32(0) best_n_right = np.uint32(0) for i in range(n_points): best_side[i] = np.abs(tau_rand_int(rng_state)) % 2 if best_side[i] == 0: best_n_left += 1 else: best_n_right += 1 indices_left = np.empty(best_n_left, dtype=np.int32) indices_right = np.empty(best_n_right, dtype=np.int32) n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): if best_side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 hyperplane = np.vstack((best_hyperplane_inds, best_hyperplane_data)) return indices_left, indices_right, hyperplane, best_offset @numba.njit( fastmath=True, nogil=True, cache=False, ) def sparse_angular_hub_split( inds, indptr, spdata, indices, neighbor_indices, global_degrees, rng_state ): """Simplified hub-based split for sparse angular data. Uses the top 3 highest-degree nodes to generate 3 possible hyperplanes, then selects the one that minimizes edge cuts. """ n_points = indices.shape[0] # Get top 3 hubs from this subset top_hubs = get_top_k_hub_indices(indices, global_degrees, 3) n_hubs = top_hubs.shape[0] # Build lookup idx_to_pos = np.full(neighbor_indices.shape[0], -1, dtype=np.int32) for i in range(n_points): idx_to_pos[indices[i]] = i # Storage for best result best_hyperplane_inds = np.array([np.int32(-1)]) best_hyperplane_data = np.array([np.float32(-1.0)]) best_side = np.empty(n_points, dtype=np.int8) best_edge_cuts = np.uint32(0xFFFFFFFF) best_n_left = np.uint32(0) best_n_right = np.uint32(0) side = np.empty(n_points, dtype=np.int8) # Evaluate all hub pairs (only 3 pairs for k=3) for hi in range(n_hubs): for hj in range(hi + 1, n_hubs): left = top_hubs[hi] right = top_hubs[hj] left_inds = inds[indptr[left] : indptr[left + 1]] left_data = spdata[indptr[left] : indptr[left + 1]] right_inds = inds[indptr[right] : indptr[right + 1]] right_data = spdata[indptr[right] : indptr[right + 1]] # Normalize for angular distance left_norm = norm(left_data) right_norm = norm(right_data) if abs(left_norm) < EPS: left_norm = 1.0 if abs(right_norm) < EPS: right_norm = 1.0 normalized_left_data = (left_data / left_norm).astype(np.float32) normalized_right_data = (right_data / right_norm).astype(np.float32) hyperplane_inds, hyperplane_data = sparse_diff( left_inds, normalized_left_data, right_inds, normalized_right_data ) hyperplane_norm = norm(hyperplane_data) if abs(hyperplane_norm) < EPS: hyperplane_norm = 1.0 for d in range(hyperplane_data.shape[0]): hyperplane_data[d] = hyperplane_data[d] / hyperplane_norm # Project all points n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): margin = np.float64(0.0) i_inds = inds[indptr[indices[i]] : indptr[indices[i] + 1]] i_data = spdata[indptr[indices[i]] : indptr[indices[i] + 1]] _, mul_data = sparse_mul( hyperplane_inds, hyperplane_data, i_inds, i_data ) for val in mul_data: margin += val if margin > EPS: side[i] = 0 n_left += 1 elif margin < -EPS: side[i] = 1 n_right += 1 else: side[i] = i % 2 if side[i] == 0: n_left += 1 else: n_right += 1 if n_left == 0 or n_right == 0: continue # Count edge cuts edge_cuts = np.uint32(0) for i in range(n_points): point_idx = indices[i] point_side = side[i] for j_nb in range(neighbor_indices.shape[1]): neighbor = neighbor_indices[point_idx, j_nb] if neighbor < 0: break neighbor_pos = idx_to_pos[neighbor] if neighbor_pos >= 0: if side[neighbor_pos] != point_side: edge_cuts += 1 edge_cuts = edge_cuts // 2 if edge_cuts < best_edge_cuts: best_edge_cuts = edge_cuts best_n_left = n_left best_n_right = n_right best_hyperplane_inds = hyperplane_inds.copy() best_hyperplane_data = hyperplane_data.copy() for i in range(n_points): best_side[i] = side[i] # Fallback if best_n_left == 0 or best_n_right == 0: best_n_left = np.uint32(0) best_n_right = np.uint32(0) for i in range(n_points): best_side[i] = np.abs(tau_rand_int(rng_state)) % 2 if best_side[i] == 0: best_n_left += 1 else: best_n_right += 1 indices_left = np.empty(best_n_left, dtype=np.int32) indices_right = np.empty(best_n_right, dtype=np.int32) n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): if best_side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 hyperplane = np.vstack((best_hyperplane_inds, best_hyperplane_data)) return indices_left, indices_right, hyperplane, np.float64(0.0) @numba.njit( nogil=True, cache=False, locals={"left_node_num": numba.types.int32, "right_node_num": numba.types.int32}, ) def make_sparse_hub_euclidean_tree( inds, indptr, spdata, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): """Recursive tree builder using simplified sparse euclidean hub splits.""" if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, ) = sparse_euclidean_hub_split( inds, indptr, spdata, indices, neighbor_indices, global_degrees, rng_state ) make_sparse_hub_euclidean_tree( inds, indptr, spdata, left_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_sparse_hub_euclidean_tree( inds, indptr, spdata, right_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([[-1.0], [-1.0]], dtype=np.float64)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit( nogil=True, cache=False, locals={"left_node_num": numba.types.int32, "right_node_num": numba.types.int32}, ) def make_sparse_hub_angular_tree( inds, indptr, spdata, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): """Recursive tree builder using simplified sparse angular hub splits.""" if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, ) = sparse_angular_hub_split( inds, indptr, spdata, indices, neighbor_indices, global_degrees, rng_state ) make_sparse_hub_angular_tree( inds, indptr, spdata, left_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_sparse_hub_angular_tree( inds, indptr, spdata, right_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([[-1.0], [-1.0]], dtype=np.float64)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit(nogil=True, cache=False) def make_sparse_hub_tree( inds, indptr, spdata, neighbor_indices, rng_state, leaf_size=30, angular=False, max_depth=200, ): """Build a sparse RP tree using simplified hub-based hyperplane selection. This version precomputes global degrees once and uses the top 3 highest-degree nodes at each split to generate all 3 possible hyperplanes. Parameters ---------- inds : array CSR format index array of the matrix. indptr : array CSR format index pointer array of the matrix. spdata : array CSR format data array of the matrix. neighbor_indices : array of shape (n_samples, n_neighbors) The neighbor graph indices. rng_state : array of int64, shape (3,) The internal state of the rng. leaf_size : int The maximum size of a leaf node. angular : bool Whether to use angular (cosine) or euclidean distance. max_depth : int Maximum tree depth. Returns ------- tree : FlatTree The constructed tree. """ # Precompute global degrees ONCE global_degrees = compute_global_degrees(neighbor_indices) indices = np.arange(indptr.shape[0] - 1).astype(np.int32) hyperplanes = numba.typed.List.empty_list(sparse_hyperplane_type) offsets = numba.typed.List.empty_list(offset_type) children = numba.typed.List.empty_list(children_type) point_indices = numba.typed.List.empty_list(point_indices_type) if angular: make_sparse_hub_angular_tree( inds, indptr, spdata, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) else: make_sparse_hub_euclidean_tree( inds, indptr, spdata, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) max_leaf_size = leaf_size for points in point_indices: if len(points) > max_leaf_size: max_leaf_size = numba.int32(len(points)) result = FlatTree(hyperplanes, offsets, children, point_indices, max_leaf_size) return result # ============================================================================ # Simplified Bit-packed Hub Trees # ============================================================================ @numba.njit( fastmath=True, nogil=True, cache=False, ) def get_top_k_hub_indices_bit(indices, data, global_degrees, k=3): """Get the indices of the top k highest-degree points for bit data. Also returns the pair with maximum Hamming distance among the top k. """ n_points = indices.shape[0] actual_k = min(k, n_points) # Find top k by degree using insertion sort approach top_degrees = np.full(actual_k, np.int32(-1), dtype=np.int32) top_indices = np.empty(actual_k, dtype=np.int32) for i in range(n_points): deg = global_degrees[indices[i]] if deg > top_degrees[actual_k - 1]: insert_pos = actual_k - 1 while insert_pos > 0 and deg > top_degrees[insert_pos - 1]: insert_pos -= 1 for j in range(actual_k - 1, insert_pos, -1): top_degrees[j] = top_degrees[j - 1] top_indices[j] = top_indices[j - 1] top_degrees[insert_pos] = deg top_indices[insert_pos] = indices[i] return top_indices @numba.njit( fastmath=True, nogil=True, cache=False, ) def bit_hub_split(data, indices, neighbor_indices, global_degrees, rng_state): """Simplified hub-based split for bit-packed data. Uses the top 3 highest-degree nodes to generate 3 possible hyperplanes, then selects the one that minimizes edge cuts. """ dim = data.shape[1] n_points = indices.shape[0] # Get top 3 hubs from this subset top_hubs = get_top_k_hub_indices_bit(indices, data, global_degrees, 3) n_hubs = top_hubs.shape[0] # Build lookup idx_to_pos = np.full(neighbor_indices.shape[0], -1, dtype=np.int32) for i in range(n_points): idx_to_pos[indices[i]] = i # Storage for best result best_hyperplane = np.zeros(dim * 2, dtype=np.uint8) best_side = np.empty(n_points, dtype=np.int8) best_edge_cuts = np.uint32(0xFFFFFFFF) best_n_left = np.uint32(0) best_n_right = np.uint32(0) side = np.empty(n_points, dtype=np.int8) # Evaluate all hub pairs (only 3 pairs for k=3) for hi in range(n_hubs): for hj in range(hi + 1, n_hubs): left = top_hubs[hi] right = top_hubs[hj] # Compute hyperplane for bit data hyperplane_vector = np.empty(dim * 2, dtype=np.uint8) positive_hyperplane_component = hyperplane_vector[:dim] negative_hyperplane_component = hyperplane_vector[dim:] for d in range(dim): xor_vector = data[left, d] ^ data[right, d] positive_hyperplane_component[d] = xor_vector & data[left, d] negative_hyperplane_component[d] = xor_vector & data[right, d] # Project all points onto hyperplane n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): margin = np.float32(0.0) for d in range(dim): margin += popcnt[ positive_hyperplane_component[d] & data[indices[i], d] ] margin -= popcnt[ negative_hyperplane_component[d] & data[indices[i], d] ] if margin > EPS: side[i] = 0 n_left += 1 elif margin < -EPS: side[i] = 1 n_right += 1 else: side[i] = i % 2 if side[i] == 0: n_left += 1 else: n_right += 1 if n_left == 0 or n_right == 0: continue # Count edge cuts edge_cuts = np.uint32(0) for i in range(n_points): point_idx = indices[i] point_side = side[i] for j_nb in range(neighbor_indices.shape[1]): neighbor = neighbor_indices[point_idx, j_nb] if neighbor < 0: break neighbor_pos = idx_to_pos[neighbor] if neighbor_pos >= 0: if side[neighbor_pos] != point_side: edge_cuts += 1 edge_cuts = edge_cuts // 2 if edge_cuts < best_edge_cuts: best_edge_cuts = edge_cuts best_n_left = n_left best_n_right = n_right for d in range(dim * 2): best_hyperplane[d] = hyperplane_vector[d] for i in range(n_points): best_side[i] = side[i] # Fallback if best_n_left == 0 or best_n_right == 0: best_n_left = np.uint32(0) best_n_right = np.uint32(0) for i in range(n_points): best_side[i] = np.abs(tau_rand_int(rng_state)) % 2 if best_side[i] == 0: best_n_left += 1 else: best_n_right += 1 indices_left = np.empty(best_n_left, dtype=np.int32) indices_right = np.empty(best_n_right, dtype=np.int32) n_left = np.uint32(0) n_right = np.uint32(0) for i in range(n_points): if best_side[i] == 0: indices_left[n_left] = indices[i] n_left += 1 else: indices_right[n_right] = indices[i] n_right += 1 return indices_left, indices_right, best_hyperplane, np.float32(0.0) @numba.njit( nogil=True, cache=False, locals={"left_node_num": numba.types.int32, "right_node_num": numba.types.int32}, ) def make_bit_hub_tree_recursive( data, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): """Recursive tree builder using simplified bit hub splits.""" if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, ) = bit_hub_split(data, indices, neighbor_indices, global_degrees, rng_state) make_bit_hub_tree_recursive( data, left_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_bit_hub_tree_recursive( data, right_indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([np.uint8(0)], dtype=np.uint8)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit(nogil=True, cache=False) def make_bit_hub_tree( data, neighbor_indices, rng_state, leaf_size=30, max_depth=200, ): """Build a bit-packed RP tree using simplified hub-based hyperplane selection. This version precomputes global degrees once and uses the top 3 highest-degree nodes at each split to generate all 3 possible hyperplanes. Parameters ---------- data : array of shape (n_samples, n_features) The bit-packed data to build the tree on. neighbor_indices : array of shape (n_samples, n_neighbors) The neighbor graph indices. rng_state : array of int64, shape (3,) The internal state of the rng. leaf_size : int The maximum size of a leaf node. max_depth : int Maximum tree depth. Returns ------- tree : FlatTree The constructed tree. """ # Precompute global degrees ONCE global_degrees = compute_global_degrees(neighbor_indices) indices = np.arange(data.shape[0]).astype(np.int32) hyperplanes = numba.typed.List.empty_list(bit_hyperplane_type) offsets = numba.typed.List.empty_list(offset_type) children = numba.typed.List.empty_list(children_type) point_indices = numba.typed.List.empty_list(point_indices_type) make_bit_hub_tree_recursive( data, indices, neighbor_indices, global_degrees, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) max_leaf_size = leaf_size for points in point_indices: if len(points) > max_leaf_size: max_leaf_size = numba.int32(len(points)) result = FlatTree(hyperplanes, offsets, children, point_indices, max_leaf_size) return result @numba.njit( nogil=True, locals={"left_node_num": numba.types.int32, "right_node_num": numba.types.int32}, ) def make_euclidean_tree( data, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, ) = euclidean_random_projection_split(data, indices, rng_state) make_euclidean_tree( data, left_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_euclidean_tree( data, right_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([-1.0], dtype=np.float32)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit( nogil=True, locals={ "children": numba.types.ListType(children_type), "left_node_num": numba.types.int32, "right_node_num": numba.types.int32, }, ) def make_angular_tree( data, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, ) = angular_random_projection_split(data, indices, rng_state) make_angular_tree( data, left_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_angular_tree( data, right_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([-1.0], dtype=np.float32)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit( nogil=True, locals={ "children": numba.types.ListType(children_type), "left_node_num": numba.types.int32, "right_node_num": numba.types.int32, }, ) def make_bit_tree( data, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, ) = angular_bitpacked_random_projection_split(data, indices, rng_state) make_bit_tree( data, left_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_bit_tree( data, right_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([255], dtype=np.uint8)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit( nogil=True, locals={"left_node_num": numba.types.int32, "right_node_num": numba.types.int32}, ) def make_sparse_euclidean_tree( inds, indptr, data, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, ) = sparse_euclidean_random_projection_split( inds, indptr, data, indices, rng_state ) make_sparse_euclidean_tree( inds, indptr, data, left_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_sparse_euclidean_tree( inds, indptr, data, right_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([[-1.0], [-1.0]], dtype=np.float64)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) return @numba.njit( nogil=True, locals={"left_node_num": numba.types.int32, "right_node_num": numba.types.int32}, ) def make_sparse_angular_tree( inds, indptr, data, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size=30, max_depth=200, ): if indices.shape[0] > leaf_size and max_depth > 0: ( left_indices, right_indices, hyperplane, offset, ) = sparse_angular_random_projection_split( inds, indptr, data, indices, rng_state ) make_sparse_angular_tree( inds, indptr, data, left_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) left_node_num = len(point_indices) - 1 make_sparse_angular_tree( inds, indptr, data, right_indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth - 1, ) right_node_num = len(point_indices) - 1 hyperplanes.append(hyperplane) offsets.append(offset) children.append((np.int32(left_node_num), np.int32(right_node_num))) point_indices.append(np.array([-1], dtype=np.int32)) else: hyperplanes.append(np.array([[-1.0], [-1.0]], dtype=np.float64)) offsets.append(-np.inf) children.append((np.int32(-1), np.int32(-1))) point_indices.append(indices) @numba.njit(nogil=True) def make_dense_tree(data, rng_state, leaf_size=30, angular=False, max_depth=200): indices = np.arange(data.shape[0]).astype(np.int32) hyperplanes = numba.typed.List.empty_list(dense_hyperplane_type) offsets = numba.typed.List.empty_list(offset_type) children = numba.typed.List.empty_list(children_type) point_indices = numba.typed.List.empty_list(point_indices_type) if angular: make_angular_tree( data, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) else: make_euclidean_tree( data, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) max_leaf_size = leaf_size for points in point_indices: if len(points) > max_leaf_size: max_leaf_size = numba.int32(len(points)) result = FlatTree(hyperplanes, offsets, children, point_indices, max_leaf_size) return result @numba.njit(nogil=True) def make_sparse_tree( inds, indptr, spdata, rng_state, leaf_size=30, angular=False, max_depth=200, ): indices = np.arange(indptr.shape[0] - 1).astype(np.int32) hyperplanes = numba.typed.List.empty_list(sparse_hyperplane_type) offsets = numba.typed.List.empty_list(offset_type) children = numba.typed.List.empty_list(children_type) point_indices = numba.typed.List.empty_list(point_indices_type) if angular: make_sparse_angular_tree( inds, indptr, spdata, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) else: make_sparse_euclidean_tree( inds, indptr, spdata, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) max_leaf_size = leaf_size for points in point_indices: if len(points) > max_leaf_size: max_leaf_size = numba.int32(len(points)) return FlatTree(hyperplanes, offsets, children, point_indices, max_leaf_size) @numba.njit(nogil=True) def make_dense_bit_tree(data, rng_state, leaf_size=30, angular=False, max_depth=200): indices = np.arange(data.shape[0]).astype(np.int32) hyperplanes = numba.typed.List.empty_list(bit_hyperplane_type) offsets = numba.typed.List.empty_list(offset_type) children = numba.typed.List.empty_list(children_type) point_indices = numba.typed.List.empty_list(point_indices_type) if angular: make_bit_tree( data, indices, hyperplanes, offsets, children, point_indices, rng_state, leaf_size, max_depth=max_depth, ) else: raise NotImplementedError("Euclidean bit trees are not implemented yet.") max_leaf_size = leaf_size for points in point_indices: if len(points) > max_leaf_size: max_leaf_size = numba.int32(len(points)) result = FlatTree(hyperplanes, offsets, children, point_indices, max_leaf_size) return result @numba.njit( [ "b1(f4[::1],f4,f4[::1],i8[::1])", numba.types.boolean( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.float32, numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int64, 1, "C", readonly=False), ), ], fastmath=True, locals={ "margin": numba.types.float32, "dim": numba.types.intp, "d": numba.types.uint16, }, cache=True, ) def select_side(hyperplane, offset, point, rng_state): margin = offset dim = point.shape[0] for d in range(dim): margin += hyperplane[d] * point[d] if abs(margin) < EPS: side = np.abs(tau_rand_int(rng_state)) % 2 if side == 0: return 0 else: return 1 elif margin > 0: return 0 else: return 1 @numba.njit( [ "b1(u1[::1],f4,u1[::1],i8[::1])", numba.types.boolean( numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.float32, numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.int64, 1, "C", readonly=False), ), ], fastmath=True, locals={ "margin": numba.types.float32, "dim": numba.types.intp, "d": numba.types.uint16, }, cache=True, ) def select_side_bit(hyperplane, offset, point, rng_state): margin = offset dim = point.shape[0] for d in range(dim): margin += popcnt[hyperplane[d] & point[d]] margin -= popcnt[hyperplane[dim + d] & point[d]] if abs(margin) < EPS: side = np.abs(tau_rand_int(rng_state)) % 2 if side == 0: return 0 else: return 1 elif margin > 0: return 0 else: return 1 @numba.njit( [ "i4[::1](f4[::1],f4[:,::1],f4[::1],i4[:,::1],i4[::1],i8[::1])", numba.types.Array(numba.types.int32, 1, "C", readonly=True)( numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 2, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 2, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.int64, 1, "C", readonly=False), ), ], locals={"node": numba.types.uint32, "side": numba.types.boolean}, cache=True, ) def search_flat_tree(point, hyperplanes, offsets, children, indices, rng_state): node = 0 while children[node, 0] > 0: side = select_side(hyperplanes[node], offsets[node], point, rng_state) if side == 0: node = children[node, 0] else: node = children[node, 1] return indices[-children[node, 0] : -children[node, 1]] @numba.njit( [ "i4[::1](u1[::1],u1[:,::1],f4[::1],i4[:,::1],i4[::1],i8[::1])", numba.types.Array(numba.types.int32, 1, "C", readonly=True)( numba.types.Array(numba.types.uint8, 1, "C", readonly=True), numba.types.Array(numba.types.uint8, 2, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 2, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.int64, 1, "C", readonly=False), ), ], locals={"node": numba.types.uint32, "side": numba.types.boolean}, cache=True, ) def search_flat_bit_tree(point, hyperplanes, offsets, children, indices, rng_state): node = 0 while children[node, 0] > 0: side = select_side_bit(hyperplanes[node], offsets[node], point, rng_state) if side == 0: node = children[node, 0] else: node = children[node, 1] return indices[-children[node, 0] : -children[node, 1]] @numba.njit(fastmath=True, cache=True) def sparse_select_side(hyperplane, offset, point_inds, point_data, rng_state): margin = offset hyperplane_size = hyperplane.shape[1] while hyperplane[0, hyperplane_size - 1] < 0.0: hyperplane_size -= 1 hyperplane_inds = hyperplane[0, :hyperplane_size].astype(np.int32) hyperplane_data = hyperplane[1, :hyperplane_size] margin += sparse_dot_product( hyperplane_inds, hyperplane_data, point_inds, point_data ) if abs(margin) < EPS: side = tau_rand_int(rng_state) % 2 if side == 0: return 0 else: return 1 elif margin > 0: return 0 else: return 1 @numba.njit(locals={"node": numba.types.uint32}, cache=True) def search_sparse_flat_tree( point_inds, point_data, hyperplanes, offsets, children, indices, rng_state ): node = 0 while children[node, 0] > 0: side = sparse_select_side( hyperplanes[node], offsets[node], point_inds, point_data, rng_state ) if side == 0: node = children[node, 0] else: node = children[node, 1] return indices[-children[node, 0] : -children[node, 1]] def make_forest( data, n_neighbors, n_trees, leaf_size, rng_state, random_state, n_jobs=None, angular=False, bit_tree=False, max_depth=200, ): """Build a random projection forest with ``n_trees``. Parameters ---------- data n_neighbors n_trees leaf_size rng_state angular Returns ------- forest: list A list of random projection trees. """ # print(ts(), "Started forest construction") result = [] if leaf_size is None: leaf_size = max(60, min(256, 5 * np.int32(n_neighbors))) if n_jobs is None: n_jobs = -1 rng_states = random_state.randint(INT32_MIN, INT32_MAX, size=(n_trees, 3)).astype( np.int64 ) try: if scipy.sparse.isspmatrix_csr(data): result = joblib.Parallel(n_jobs=n_jobs, require="sharedmem")( joblib.delayed(make_sparse_tree)( data.indices, data.indptr, data.data, rng_states[i], leaf_size, angular, max_depth=max_depth, ) for i in range(n_trees) ) elif bit_tree: result = joblib.Parallel(n_jobs=n_jobs, require="sharedmem")( joblib.delayed(make_dense_bit_tree)( data, rng_states[i], leaf_size, angular, max_depth=max_depth ) for i in range(n_trees) ) else: result = joblib.Parallel(n_jobs=n_jobs, require="sharedmem")( joblib.delayed(make_dense_tree)( data, rng_states[i], leaf_size, angular, max_depth=max_depth ) for i in range(n_trees) ) except (RuntimeError, RecursionError, SystemError): warn( "Random Projection forest initialisation failed due to recursion" "limit being reached. Something is a little strange with your " "graph_data, and this may take longer than normal to compute." ) return tuple(result) @numba.njit(nogil=True) def get_leaves_from_tree(tree, max_leaf_size): n_leaves = 0 for i in range(len(tree.children)): if tree.children[i][0] == -1 and tree.children[i][1] == -1: n_leaves += 1 result = np.full((n_leaves, max_leaf_size), -1, dtype=np.int32) leaf_index = 0 for i in range(len(tree.indices)): if tree.children[i][0] == -1 or tree.children[i][1] == -1: leaf_size = tree.indices[i].shape[0] result[leaf_index, :leaf_size] = tree.indices[i] leaf_index += 1 return result def rptree_leaf_array_parallel(rp_forest): max_leaf_size = np.max([rp_tree.leaf_size for rp_tree in rp_forest]) result = joblib.Parallel(n_jobs=-1, require="sharedmem")( joblib.delayed(get_leaves_from_tree)(rp_tree, max_leaf_size) for rp_tree in rp_forest ) return result def rptree_leaf_array(rp_forest): if len(rp_forest) > 0: return np.vstack(rptree_leaf_array_parallel(rp_forest)) else: return np.array([[-1]]) # @numba.njit() def recursive_convert( tree, hyperplanes, offsets, children, indices, node_num, leaf_start, tree_node ): if tree.children[tree_node][0] < 0: leaf_end = leaf_start + len(tree.indices[tree_node]) children[node_num, 0] = -leaf_start children[node_num, 1] = -leaf_end indices[leaf_start:leaf_end] = tree.indices[tree_node] return node_num, leaf_end else: hyperplanes[node_num] = tree.hyperplanes[tree_node] offsets[node_num] = tree.offsets[tree_node] children[node_num, 0] = node_num + 1 old_node_num = node_num node_num, leaf_start = recursive_convert( tree, hyperplanes, offsets, children, indices, node_num + 1, leaf_start, tree.children[tree_node][0], ) children[old_node_num, 1] = node_num + 1 node_num, leaf_start = recursive_convert( tree, hyperplanes, offsets, children, indices, node_num + 1, leaf_start, tree.children[tree_node][1], ) return node_num, leaf_start @numba.njit() def recursive_convert_sparse( tree, hyperplanes, offsets, children, indices, node_num, leaf_start, tree_node ): if tree.children[tree_node][0] < 0: leaf_end = leaf_start + len(tree.indices[tree_node]) children[node_num, 0] = -leaf_start children[node_num, 1] = -leaf_end indices[leaf_start:leaf_end] = tree.indices[tree_node] return node_num, leaf_end else: hyperplanes[node_num, :, : tree.hyperplanes[tree_node].shape[1]] = ( tree.hyperplanes[tree_node] ) offsets[node_num] = tree.offsets[tree_node] children[node_num, 0] = node_num + 1 old_node_num = node_num node_num, leaf_start = recursive_convert_sparse( tree, hyperplanes, offsets, children, indices, node_num + 1, leaf_start, tree.children[tree_node][0], ) children[old_node_num, 1] = node_num + 1 node_num, leaf_start = recursive_convert_sparse( tree, hyperplanes, offsets, children, indices, node_num + 1, leaf_start, tree.children[tree_node][1], ) return node_num, leaf_start @numba.njit(cache=True) def num_nodes_and_leaves(tree): n_nodes = 0 n_leaves = 0 for i in range(len(tree.children)): if tree.children[i][0] < 0: n_leaves += 1 n_nodes += 1 else: n_nodes += 1 return n_nodes, n_leaves def convert_tree_format(tree, data_size, data_dim): n_nodes, n_leaves = num_nodes_and_leaves(tree) is_sparse = False if tree.hyperplanes[0].ndim == 1: # dense hyperplanes if tree.hyperplanes[0].dtype == np.uint8: hyperplane_dim = data_dim * 2 else: hyperplane_dim = data_dim hyperplanes = np.zeros( (n_nodes, hyperplane_dim), dtype=tree.hyperplanes[0].dtype ) else: # sparse hyperplanes is_sparse = True hyperplane_dim = data_dim hyperplanes = np.zeros((n_nodes, 2, hyperplane_dim), dtype=np.float32) hyperplanes[:, 0, :] = -1 offsets = np.zeros(n_nodes, dtype=np.float32) children = np.int32(-1) * np.ones((n_nodes, 2), dtype=np.int32) indices = np.int32(-1) * np.ones(data_size, dtype=np.int32) if is_sparse: recursive_convert_sparse( tree, hyperplanes, offsets, children, indices, 0, 0, len(tree.children) - 1 ) else: recursive_convert( tree, hyperplanes, offsets, children, indices, 0, 0, len(tree.children) - 1 ) return FlatTree(hyperplanes, offsets, children, indices, tree.leaf_size) # Indices for tuple version of flat tree for pickle serialization FLAT_TREE_HYPERPLANES = 0 FLAT_TREE_OFFSETS = 1 FLAT_TREE_CHILDREN = 2 FLAT_TREE_INDICES = 3 FLAT_TREE_LEAF_SIZE = 4 def denumbaify_tree(tree): result = ( tree.hyperplanes, tree.offsets, tree.children, tree.indices, tree.leaf_size, ) return result def renumbaify_tree(tree): result = FlatTree( tree[FLAT_TREE_HYPERPLANES], tree[FLAT_TREE_OFFSETS], tree[FLAT_TREE_CHILDREN], tree[FLAT_TREE_INDICES], tree[FLAT_TREE_LEAF_SIZE], ) return result @numba.njit( parallel=True, locals={ "intersection": numba.int64[::1], "result": numba.float32, "i": numba.uint32, }, cache=False, ) def score_tree(tree, neighbor_indices, data, rng_state): result = 0.0 for i in numba.prange(neighbor_indices.shape[0]): leaf_indices = search_flat_tree( data[i], tree.hyperplanes, tree.offsets, tree.children, tree.indices, rng_state, ) intersection = arr_intersect(neighbor_indices[i], leaf_indices) result += numba.float32(intersection.shape[0] > 1) return result / numba.float32(neighbor_indices.shape[0]) @numba.njit( nogil=True, locals={"node": numba.int32, "count": numba.int32}, cache=False, ) def score_linked_tree(tree, neighbor_indices): """Score a tree by measuring how well leaves contain nearest neighbors. For each point, computes the fraction of its k nearest neighbors that are in the same leaf. Returns the average of this fraction across all points. A score of 1.0 means all neighbors are always in the same leaf (perfect). A score of 0.0 means no neighbors are ever in the same leaf (worst). """ n_points = neighbor_indices.shape[0] k = neighbor_indices.shape[1] total_score = 0.0 n_nodes = len(tree.children) for i in range(n_nodes): node = numba.int32(i) left_child = tree.children[node][0] right_child = tree.children[node][1] # Only process leaf nodes if left_child == -1 and right_child == -1: leaf_indices = tree.indices[node] leaf_size = leaf_indices.shape[0] # Build a lookup set for the leaf (max value we need to check) # Use a simple approach: for each point in leaf, count neighbors in leaf for j in range(leaf_size): idx = leaf_indices[j] neighbors = neighbor_indices[idx] # Count how many neighbors are in this leaf count = 0 for ni in range(k): neighbor = neighbors[ni] # Check if neighbor is in leaf (linear scan - leaf is small) for li in range(leaf_size): if leaf_indices[li] == neighbor: count += 1 break # Subtract 1 if point itself is counted as neighbor (self-loop) # and normalize by k # Actually, neighbor_indices typically doesn't include self, # so we just use count directly total_score += numba.float32(count) / numba.float32(k) return total_score / numba.float32(n_points) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/sparse.py0000644000175100017510000007672215130020663017104 0ustar00vstsvsts# Author: Leland McInnes # Enough simple sparse operations in numba to enable sparse UMAP # # License: BSD 3 clause from __future__ import print_function import numpy as np import numba from pynndescent.utils import norm, tau_rand from pynndescent.distances import ( kantorovich, jensen_shannon_divergence, symmetric_kl_divergence, ) FLOAT32_EPS = np.finfo(np.float32).eps FLOAT32_MAX = np.finfo(np.float32).max # Just reproduce a simpler version of numpy isclose (not numba supported yet) @numba.njit(cache=True) def isclose(a, b, rtol=1.0e-5, atol=1.0e-8): diff = np.abs(a - b) return diff <= (atol + rtol * np.abs(b)) # Just reproduce a simpler version of numpy unique (not numba supported yet) @numba.njit(cache=True) def arr_unique(arr): aux = np.sort(arr) flag = np.concatenate((np.ones(1, dtype=np.bool_), aux[1:] != aux[:-1])) return aux[flag] # Just reproduce a simpler version of numpy union1d (not numba supported yet) @numba.njit(cache=True) def arr_union(ar1, ar2): if ar1.shape[0] == 0: return ar2 elif ar2.shape[0] == 0: return ar1 else: return arr_unique(np.concatenate((ar1, ar2))) # Just reproduce a simpler version of numpy intersect1d (not numba supported # yet) @numba.njit(cache=True) def arr_intersect(ar1, ar2): aux = np.concatenate((ar1, ar2)) aux.sort() return aux[:-1][aux[1:] == aux[:-1]] # Some things require size of intersection; do this quickly; assume sorted arrays for speed @numba.njit( [ "i4(i4[:],i4[:])", numba.types.int32( numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), ), ], locals={ "i1": numba.uint16, "i2": numba.uint16, }, ) def fast_intersection_size(ar1, ar2): if ar1.shape[0] == 0 or ar2.shape[0] == 0: return 0 # NOTE: We assume arrays are sorted; if they are not this will break i1 = 0 i2 = 0 limit1 = ar1.shape[0] - 1 limit2 = ar2.shape[0] - 1 j1 = ar1[i1] j2 = ar2[i2] result = 0 while True: if j1 == j2: result += 1 if i1 < limit1: i1 += 1 j1 = ar1[i1] else: break if i2 < limit2: i2 += 1 j2 = ar2[i2] else: break elif j1 < j2 and i1 < limit1: i1 += 1 j1 = ar1[i1] elif j2 < j1 and i2 < limit2: i2 += 1 j2 = ar2[i2] else: break return result @numba.njit( [ numba.types.Tuple( ( numba.types.Array(numba.types.int32, 1, "C"), numba.types.Array(numba.types.float32, 1, "C"), ) )( numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ) ], fastmath=True, locals={ "result_ind": numba.types.int32[::1], "result_data": numba.types.float32[::1], "val": numba.types.float32, "i1": numba.types.int32, "i2": numba.types.int32, "j1": numba.types.int32, "j2": numba.types.int32, }, cache=True, ) def sparse_sum(ind1, data1, ind2, data2): result_size = ind1.shape[0] + ind2.shape[0] result_ind = np.zeros(result_size, dtype=np.int32) result_data = np.zeros(result_size, dtype=np.float32) i1 = 0 i2 = 0 nnz = 0 # pass through both index lists while i1 < ind1.shape[0] and i2 < ind2.shape[0]: j1 = ind1[i1] j2 = ind2[i2] if j1 == j2: val = data1[i1] + data2[i2] if val != 0: result_ind[nnz] = j1 result_data[nnz] = val nnz += 1 i1 += 1 i2 += 1 elif j1 < j2: val = data1[i1] if val != 0: result_ind[nnz] = j1 result_data[nnz] = val nnz += 1 i1 += 1 else: val = data2[i2] if val != 0: result_ind[nnz] = j2 result_data[nnz] = val nnz += 1 i2 += 1 # pass over the tails while i1 < ind1.shape[0]: j1 = ind1[i1] val = data1[i1] if val != 0: result_ind[nnz] = j1 result_data[nnz] = val nnz += 1 i1 += 1 while i2 < ind2.shape[0]: j2 = ind2[i2] val = data2[i2] if val != 0: result_ind[nnz] = j2 result_data[nnz] = val nnz += 1 i2 += 1 # truncate to the correct length in case there were zeros created result_ind = result_ind[:nnz] result_data = result_data[:nnz] return result_ind, result_data @numba.njit(cache=True) def sparse_diff(ind1, data1, ind2, data2): return sparse_sum(ind1, data1, ind2, -data2) @numba.njit( [ # "Tuple((i4[::1],f4[::1]))(i4[::1],f4[::1],i4[::1],f4[::1])", numba.types.Tuple( ( numba.types.ListType(numba.types.int32), numba.types.ListType(numba.types.float32), ) )( numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ) ], fastmath=True, locals={ "val": numba.types.float32, "i1": numba.types.int32, "i2": numba.types.int32, "j1": numba.types.int32, "j2": numba.types.int32, }, cache=True, ) def sparse_mul(ind1, data1, ind2, data2): result_ind = numba.typed.List.empty_list(numba.types.int32) result_data = numba.typed.List.empty_list(numba.types.float32) i1 = 0 i2 = 0 # pass through both index lists while i1 < ind1.shape[0] and i2 < ind2.shape[0]: j1 = ind1[i1] j2 = ind2[i2] if j1 == j2: val = data1[i1] * data2[i2] if val != 0: result_ind.append(j1) result_data.append(val) i1 += 1 i2 += 1 elif j1 < j2: i1 += 1 else: i2 += 1 return result_ind, result_data @numba.njit( [ # "Tuple((i4[::1],f4[::1]))(i4[::1],f4[::1],i4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ) ], fastmath=True, locals={ "result": numba.types.float32, "val": numba.types.float32, "i1": numba.types.uint16, "i2": numba.types.uint16, "j1": numba.types.int32, "j2": numba.types.int32, }, cache=True, ) def sparse_dot_product(ind1, data1, ind2, data2): dim1 = ind1.shape[0] dim2 = ind2.shape[0] result = 0.0 i1 = 0 i2 = 0 j1 = ind1[i1] j2 = ind2[i2] # pass through both index lists while True: if j1 == j2: val = data1[i1] * data2[i2] result += val i1 += 1 if i1 >= dim1: return result j1 = ind1[i1] i2 += 1 if i2 >= dim2: return result j2 = ind2[i2] elif j1 < j2: i1 += 1 if i1 >= dim1: return result j1 = ind1[i1] else: i2 += 1 if i2 >= dim2: return result j2 = ind2[i2] return result # unreachable # Return dense vectors supported on the union of the non-zero valued indices @numba.njit() def dense_union(ind1, data1, ind2, data2): result_ind = arr_union(ind1, ind2) result_data1 = np.zeros(result_ind.shape[0], dtype=np.float32) result_data2 = np.zeros(result_ind.shape[0], dtype=np.float32) i1 = 0 i2 = 0 nnz = 0 # pass through both index lists while i1 < ind1.shape[0] and i2 < ind2.shape[0]: j1 = ind1[i1] j2 = ind2[i2] if j1 == j2: val = data1[i1] + data2[i2] if val != 0: result_data1[nnz] = data1[i1] result_data2[nnz] = data2[i2] nnz += 1 i1 += 1 i2 += 1 elif j1 < j2: val = data1[i1] if val != 0: result_data1[nnz] = data1[i1] nnz += 1 i1 += 1 else: val = data2[i2] if val != 0: result_data2[nnz] = data2[i2] nnz += 1 i2 += 1 # pass over the tails while i1 < ind1.shape[0]: val = data1[i1] if val != 0: result_data1[nnz] = data1[i1] nnz += 1 i1 += 1 while i2 < ind2.shape[0]: val = data2[i2] if val != 0: result_data2[nnz] = data2[i2] nnz += 1 i2 += 1 # truncate to the correct length in case there were zeros result_data1 = result_data1[:nnz] result_data2 = result_data2[:nnz] return result_data1, result_data2 @numba.njit(fastmath=True) def sparse_euclidean(ind1, data1, ind2, data2): _, aux_data = sparse_diff(ind1, data1, ind2, data2) result = 0.0 for i in range(aux_data.shape[0]): result += aux_data[i] ** 2 return np.sqrt(result) @numba.njit( [ "f4(i4[::1],f4[::1],i4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={ "aux_data": numba.types.float32[::1], "result": numba.types.float32, "diff": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def sparse_squared_euclidean(ind1, data1, ind2, data2): _, aux_data = sparse_diff(ind1, data1, ind2, data2) result = 0.0 dim = len(aux_data) for i in range(dim): result += aux_data[i] * aux_data[i] return result @numba.njit() def sparse_manhattan(ind1, data1, ind2, data2): _, aux_data = sparse_diff(ind1, data1, ind2, data2) result = 0.0 for i in range(aux_data.shape[0]): result += np.abs(aux_data[i]) return result @numba.njit() def sparse_chebyshev(ind1, data1, ind2, data2): _, aux_data = sparse_diff(ind1, data1, ind2, data2) result = 0.0 for i in range(aux_data.shape[0]): result = max(result, np.abs(aux_data[i])) return result @numba.njit() def sparse_minkowski(ind1, data1, ind2, data2, p=2.0): _, aux_data = sparse_diff(ind1, data1, ind2, data2) result = 0.0 for i in range(aux_data.shape[0]): result += np.abs(aux_data[i]) ** p return result ** (1.0 / p) @numba.njit() def sparse_hamming(ind1, data1, ind2, data2, n_features): num_not_equal = sparse_diff(ind1, data1, ind2, data2)[0].shape[0] return float(num_not_equal) / n_features @numba.njit() def sparse_canberra(ind1, data1, ind2, data2): abs_data1 = np.abs(data1) abs_data2 = np.abs(data2) denom_inds, denom_data = sparse_sum(ind1, abs_data1, ind2, abs_data2) denom_data = (1.0 / denom_data).astype(np.float32) numer_inds, numer_data = sparse_diff(ind1, data1, ind2, data2) numer_data = np.abs(numer_data) _, val_data = sparse_mul(numer_inds, numer_data, denom_inds, denom_data) result = 0.0 for val in val_data: result += val return result @numba.njit( [ "f4(i4[::1],f4[::1],i4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, ) def sparse_bray_curtis(ind1, data1, ind2, data2): # pragma: no cover _, denom_data = sparse_sum(ind1, data1, ind2, data2) denom_data = np.abs(denom_data) if denom_data.shape[0] == 0: return 0.0 denominator = np.sum(denom_data) if denominator == 0.0: return 0.0 _, numer_data = sparse_diff(ind1, data1, ind2, data2) numer_data = np.abs(numer_data) numerator = np.sum(numer_data) return float(numerator) / denominator @numba.njit() def sparse_jaccard(ind1, data1, ind2, data2): num_equal = fast_intersection_size(ind1, ind2) num_non_zero = ind1.shape[0] + ind2.shape[0] - num_equal if num_non_zero == 0: return 0.0 else: return float(num_non_zero - num_equal) / num_non_zero @numba.njit( [ "f4(i4[::1],f4[::1],i4[::1],f4[::1])", numba.types.float32( numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), numba.types.Array(numba.types.int32, 1, "C", readonly=True), numba.types.Array(numba.types.float32, 1, "C", readonly=True), ), ], fastmath=True, locals={"num_non_zero": numba.types.intp, "num_equal": numba.types.intp}, ) def sparse_alternative_jaccard(ind1, data1, ind2, data2): num_equal = fast_intersection_size(ind1, ind2) num_non_zero = ind1.shape[0] + ind2.shape[0] - num_equal if num_non_zero == 0: return 0.0 elif num_equal == 0: return FLOAT32_MAX else: return -np.log2(num_equal / num_non_zero) # return (num_non_zero - num_equal) / num_equal @numba.vectorize(fastmath=True) def correct_alternative_jaccard(v): return 1.0 - pow(2.0, -v) # return v / (v + 1) @numba.njit() def sparse_matching(ind1, data1, ind2, data2, n_features): num_true_true = fast_intersection_size(ind1, ind2) num_non_zero = ind1.shape[0] + ind2.shape[0] - num_true_true num_not_equal = num_non_zero - num_true_true return float(num_not_equal) / n_features @numba.njit() def sparse_dice(ind1, data1, ind2, data2): num_true_true = fast_intersection_size(ind1, ind2) num_non_zero = ind1.shape[0] + ind2.shape[0] - num_true_true num_not_equal = num_non_zero - num_true_true if num_not_equal == 0.0: return 0.0 else: return num_not_equal / (2.0 * num_true_true + num_not_equal) @numba.njit() def sparse_kulsinski(ind1, data1, ind2, data2, n_features): num_true_true = fast_intersection_size(ind1, ind2) num_non_zero = ind1.shape[0] + ind2.shape[0] - num_true_true num_not_equal = num_non_zero - num_true_true if num_not_equal == 0: return 0.0 else: return float(num_not_equal - num_true_true + n_features) / ( num_not_equal + n_features ) @numba.njit() def sparse_rogers_tanimoto(ind1, data1, ind2, data2, n_features): num_true_true = fast_intersection_size(ind1, ind2) num_non_zero = ind1.shape[0] + ind2.shape[0] - num_true_true num_not_equal = num_non_zero - num_true_true return (2.0 * num_not_equal) / (n_features + num_not_equal) @numba.njit() def sparse_russellrao(ind1, data1, ind2, data2, n_features): if ind1.shape[0] == ind2.shape[0] and np.all(ind1 == ind2): return 0.0 num_true_true = fast_intersection_size(ind1, ind2) if num_true_true == np.sum(data1 != 0) and num_true_true == np.sum(data2 != 0): return 0.0 else: return float(n_features - num_true_true) / (n_features) @numba.njit() def sparse_sokal_michener(ind1, data1, ind2, data2, n_features): num_true_true = fast_intersection_size(ind1, ind2) num_non_zero = ind1.shape[0] + ind2.shape[0] - num_true_true num_not_equal = num_non_zero - num_true_true return (2.0 * num_not_equal) / (n_features + num_not_equal) @numba.njit() def sparse_sokal_sneath(ind1, data1, ind2, data2): num_true_true = fast_intersection_size(ind1, ind2) num_non_zero = ind1.shape[0] + ind2.shape[0] - num_true_true num_not_equal = num_non_zero - num_true_true if num_not_equal == 0.0: return 0.0 else: return num_not_equal / (0.5 * num_true_true + num_not_equal) @numba.njit() def sparse_cosine(ind1, data1, ind2, data2): _, aux_data = sparse_mul(ind1, data1, ind2, data2) result = 0.0 norm1 = norm(data1) norm2 = norm(data2) for val in aux_data: result += val if norm1 == 0.0 and norm2 == 0.0: return 0.0 elif norm1 == 0.0 or norm2 == 0.0: return 1.0 else: return 1.0 - (result / (norm1 * norm2)) @numba.njit( # "f4(i4[::1],f4[::1],i4[::1],f4[::1])", fastmath=True, locals={ "result": numba.types.float32, "norm_x": numba.types.float32, "norm_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def sparse_alternative_cosine(ind1, data1, ind2, data2): _, aux_data = sparse_mul(ind1, data1, ind2, data2) result = 0.0 norm_x = norm(data1) norm_y = norm(data2) dim = len(aux_data) for i in range(dim): result += aux_data[i] if norm_x == 0.0 and norm_y == 0.0: return 0.0 elif norm_x == 0.0 or norm_y == 0.0: return FLOAT32_MAX elif result <= 0.0: return FLOAT32_MAX else: result = (norm_x * norm_y) / result return np.log2(result) @numba.vectorize(fastmath=True, cache=True) def sparse_correct_alternative_cosine(d): if isclose(0.0, abs(d), atol=1e-7) or d < 0.0: return 0.0 else: return 1.0 - pow(2.0, -d) @numba.njit() def sparse_dot(ind1, data1, ind2, data2): result = sparse_dot_product(ind1, data1, ind2, data2) return 1.0 - result @numba.njit( # "f4(i4[::1],f4[::1],i4[::1],f4[::1])", fastmath=True, locals={ "result": numba.types.float32, }, ) def sparse_alternative_dot(ind1, data1, ind2, data2): result = sparse_dot_product(ind1, data1, ind2, data2) if result <= 0.0: return FLOAT32_MAX else: return -np.log2(result) @numba.njit() def sparse_correlation(ind1, data1, ind2, data2, n_features): mu_x = 0.0 mu_y = 0.0 dot_product = 0.0 if ind1.shape[0] == 0 and ind2.shape[0] == 0: return 0.0 elif ind1.shape[0] == 0 or ind2.shape[0] == 0: return 1.0 for i in range(data1.shape[0]): mu_x += data1[i] for i in range(data2.shape[0]): mu_y += data2[i] mu_x /= n_features mu_y /= n_features shifted_data1 = np.empty(data1.shape[0], dtype=np.float32) shifted_data2 = np.empty(data2.shape[0], dtype=np.float32) for i in range(data1.shape[0]): shifted_data1[i] = data1[i] - mu_x for i in range(data2.shape[0]): shifted_data2[i] = data2[i] - mu_y norm1 = np.sqrt( (norm(shifted_data1) ** 2) + (n_features - ind1.shape[0]) * (mu_x**2) ) norm2 = np.sqrt( (norm(shifted_data2) ** 2) + (n_features - ind2.shape[0]) * (mu_y**2) ) dot_prod_inds, dot_prod_data = sparse_mul(ind1, shifted_data1, ind2, shifted_data2) common_indices = set(dot_prod_inds) for val in dot_prod_data: dot_product += val for i in range(ind1.shape[0]): if ind1[i] not in common_indices: dot_product -= shifted_data1[i] * (mu_y) for i in range(ind2.shape[0]): if ind2[i] not in common_indices: dot_product -= shifted_data2[i] * (mu_x) all_indices = arr_union(ind1, ind2) dot_product += mu_x * mu_y * (n_features - all_indices.shape[0]) if norm1 == 0.0 and norm2 == 0.0: return 0.0 elif dot_product == 0.0: return 1.0 else: return 1.0 - (dot_product / (norm1 * norm2)) @numba.njit() def sparse_hellinger(ind1, data1, ind2, data2): aux_inds, aux_data = sparse_mul(ind1, data1, ind2, data2) result = 0.0 norm1 = np.sum(data1) norm2 = np.sum(data2) sqrt_norm_prod = np.sqrt(norm1 * norm2) for val in aux_data: result += np.sqrt(val) if norm1 == 0.0 and norm2 == 0.0: return 0.0 elif norm1 == 0.0 or norm2 == 0.0: return 1.0 elif result > sqrt_norm_prod: return 0.0 else: return np.sqrt(1.0 - (result / sqrt_norm_prod)) @numba.njit( # "f4(i4[::1],f4[::1],i4[::1],f4[::1])", fastmath=True, locals={ "result": numba.types.float32, "l1_norm_x": numba.types.float32, "l1_norm_y": numba.types.float32, "dim": numba.types.intp, "i": numba.types.uint16, }, ) def sparse_alternative_hellinger(ind1, data1, ind2, data2): aux_inds, aux_data = sparse_mul(ind1, data1, ind2, data2) result = 0.0 l1_norm_x = np.sum(data1) l1_norm_y = np.sum(data2) dim = len(aux_data) for i in range(dim): result += np.sqrt(aux_data[i]) if l1_norm_x == 0 and l1_norm_y == 0: return 0.0 elif l1_norm_x == 0 or l1_norm_y == 0: return FLOAT32_MAX elif result <= 0: return FLOAT32_MAX else: result = np.sqrt(l1_norm_x * l1_norm_y) / result return np.log2(result) @numba.vectorize(fastmath=True, cache=True) def sparse_correct_alternative_hellinger(d): if isclose(0.0, abs(d), atol=1e-7) or d < 0.0: return 0.0 else: return np.sqrt(1.0 - pow(2.0, -d)) @numba.njit() def dummy_ground_metric(x, y): return np.float32(not x == y) def create_ground_metric(ground_vectors, metric): """Generate a "ground_metric" suitable for passing to a ``sparse_kantorovich`` distance function. This should be a metric that, given indices of the data, should produce the ground distance between the corresponding vectors. This allows the construction of a cost_matrix or ground_distance_matrix between sparse samples on the fly -- without having to compute an all pairs distance. This is particularly useful for things like word-mover-distance. For example, to create a suitable ground_metric for word-mover distance one would use: ``wmd_ground_metric = create_ground_metric(word_vectors, cosine)`` Parameters ---------- ground_vectors: array of shape (n_features, d) The set of vectors between which ground_distances are measured. That is, there should be a vector for each feature of the space one wishes to compute Kantorovich distance over. metric: callable (numba jitted) The underlying metric used to cpmpute distances between feature vectors. Returns ------- ground_metric: callable (numba jitted) A ground metric suitable for passing to ``sparse_kantorovich``. """ @numba.njit() def ground_metric(index1, index2): return metric(ground_vectors[index1], ground_vectors[index2]) return ground_metric @numba.njit() def sparse_kantorovich(ind1, data1, ind2, data2, ground_metric=dummy_ground_metric): cost_matrix = np.empty((ind1.shape[0], ind2.shape[0])) for i in range(ind1.shape[0]): for j in range(ind2.shape[0]): cost_matrix[i, j] = ground_metric(ind1[i], ind2[j]) return kantorovich(data1, data2, cost_matrix) @numba.njit() def sparse_wasserstein_1d(ind1, data1, ind2, data2, p=1): result = 0.0 old_ind = 0 delta = 0.0 i1 = 0 i2 = 0 cdf1 = 0.0 cdf2 = 0.0 l1_norm_x = np.sum(data1) l1_norm_y = np.sum(data2) norm = lambda x, p: np.power(np.abs(x), p) # pass through both index lists while i1 < ind1.shape[0] and i2 < ind2.shape[0]: j1 = ind1[i1] j2 = ind2[i2] if j1 == j2: result += delta * (j1 - old_ind) cdf1 += data1[i1] / l1_norm_x cdf2 += data2[i2] / l1_norm_y delta = norm(cdf1 - cdf2, p) old_ind = j1 i1 += 1 i2 += 1 elif j1 < j2: result += delta * (j1 - old_ind) cdf1 += data1[i1] / l1_norm_x delta = norm(cdf1 - cdf2, p) old_ind = j1 i1 += 1 else: result += delta * (j2 - old_ind) cdf2 += data2[i2] / l1_norm_y delta = norm(cdf1 - cdf2, p) old_ind = j2 i2 += 1 # pass over the tails while i1 < ind1.shape[0]: j1 = ind1[i1] result += delta * (j1 - old_ind) cdf1 += data1[i1] / l1_norm_x delta = norm(cdf1 - cdf2, p) old_ind = j1 i1 += 1 while i2 < ind2.shape[0]: j2 = ind2[i2] result += delta * (j2 - old_ind) cdf2 += data2[i2] / l1_norm_y delta = norm(cdf1 - cdf2, p) old_ind = j2 i2 += 1 return np.power(result, 1.0 / p) # Because of the EPS values and the need to normalize after adding them (and then average those for jensen_shannon) # it seems like we might as well just take the dense union (dense vectors supported on the union of indices) # and call the dense distance functions @numba.njit() def sparse_jensen_shannon_divergence(ind1, data1, ind2, data2): dense_data1, dense_data2 = dense_union(ind1, data1, ind2, data2) return jensen_shannon_divergence(dense_data1, dense_data2) @numba.njit() def sparse_symmetric_kl_divergence(ind1, data1, ind2, data2): dense_data1, dense_data2 = dense_union(ind1, data1, ind2, data2) return symmetric_kl_divergence(dense_data1, dense_data2) @numba.njit(parallel=True, cache=False) def diversify( indices, distances, data_indices, data_indptr, data_data, dist, rng_state, prune_probability=1.0, ): for i in numba.prange(indices.shape[0]): new_indices = [indices[i, 0]] new_distances = [distances[i, 0]] for j in range(1, indices.shape[1]): if indices[i, j] < 0: break flag = True for k in range(len(new_indices)): c = new_indices[k] from_ind = data_indices[ data_indptr[indices[i, j]] : data_indptr[indices[i, j] + 1] ] from_data = data_data[ data_indptr[indices[i, j]] : data_indptr[indices[i, j] + 1] ] to_ind = data_indices[data_indptr[c] : data_indptr[c + 1]] to_data = data_data[data_indptr[c] : data_indptr[c + 1]] d = dist(from_ind, from_data, to_ind, to_data) if new_distances[k] > FLOAT32_EPS and d < distances[i, j]: if tau_rand(rng_state) < prune_probability: flag = False break if flag: new_indices.append(indices[i, j]) new_distances.append(distances[i, j]) for j in range(indices.shape[1]): if j < len(new_indices): indices[i, j] = new_indices[j] distances[i, j] = new_distances[j] else: indices[i, j] = -1 distances[i, j] = np.inf return indices, distances @numba.njit(parallel=True, cache=False) def diversify_csr( graph_indptr, graph_indices, graph_data, data_indptr, data_indices, data_data, dist, rng_state, prune_probability=1.0, ): n_nodes = graph_indptr.shape[0] - 1 for i in numba.prange(n_nodes): current_indices = graph_indices[graph_indptr[i] : graph_indptr[i + 1]] current_data = graph_data[graph_indptr[i] : graph_indptr[i + 1]] order = np.argsort(current_data) retained = np.ones(order.shape[0], dtype=np.int8) for idx in range(1, order.shape[0]): j = order[idx] for k in range(idx): l = order[k] if retained[l] == 1: p = current_indices[j] q = current_indices[l] from_inds = data_indices[data_indptr[p] : data_indptr[p + 1]] from_data = data_data[data_indptr[p] : data_indptr[p + 1]] to_inds = data_indices[data_indptr[q] : data_indptr[q + 1]] to_data = data_data[data_indptr[q] : data_indptr[q + 1]] d = dist(from_inds, from_data, to_inds, to_data) if current_data[l] > FLOAT32_EPS and d < current_data[j]: if tau_rand(rng_state) < prune_probability: retained[j] = 0 break for idx in range(order.shape[0]): j = order[idx] if retained[j] == 0: graph_data[graph_indptr[i] + j] = 0 return sparse_named_distances = { # general minkowski distances "euclidean": sparse_euclidean, "l2": sparse_euclidean, "sqeuclidean": sparse_squared_euclidean, "manhattan": sparse_manhattan, "l1": sparse_manhattan, "taxicab": sparse_manhattan, "chebyshev": sparse_chebyshev, "linf": sparse_chebyshev, "linfty": sparse_chebyshev, "linfinity": sparse_chebyshev, "minkowski": sparse_minkowski, # Other distances "canberra": sparse_canberra, "braycurtis": sparse_bray_curtis, # Binary distances "hamming": sparse_hamming, "jaccard": sparse_jaccard, "dice": sparse_dice, "matching": sparse_matching, "kulsinski": sparse_kulsinski, "rogerstanimoto": sparse_rogers_tanimoto, "russellrao": sparse_russellrao, "sokalmichener": sparse_sokal_michener, "sokalsneath": sparse_sokal_sneath, # Angular distances "cosine": sparse_cosine, "correlation": sparse_correlation, # Distribution distances "kantorovich": sparse_kantorovich, "wasserstein": sparse_kantorovich, "wasserstein_1d": sparse_wasserstein_1d, "wasserstein-1d": sparse_wasserstein_1d, "kantorovich-1d": sparse_wasserstein_1d, "kantorovich-1d": sparse_wasserstein_1d, "hellinger": sparse_hellinger, "jensen-shannon": sparse_jensen_shannon_divergence, "jensen_shannon": sparse_jensen_shannon_divergence, "symmetric-kl": sparse_symmetric_kl_divergence, "symmetric_kl": sparse_symmetric_kl_divergence, "symmetric_kullback_liebler": sparse_symmetric_kl_divergence, } sparse_need_n_features = ( "hamming", "matching", "kulsinski", "rogerstanimoto", "russellrao", "sokalmichener", "correlation", ) # Some distances have a faster to compute alternative that # retains the same ordering of distances. We can compute with # this instead, and then correct the final distances when complete. # This provides a list of distances that have such an alternative # along with the alternative distance function and the correction # function to be applied. sparse_fast_distance_alternatives = { "euclidean": {"dist": sparse_squared_euclidean, "correction": np.sqrt}, "l2": {"dist": sparse_squared_euclidean, "correction": np.sqrt}, "cosine": { "dist": sparse_alternative_cosine, "correction": sparse_correct_alternative_cosine, }, "dot": { "dist": sparse_alternative_dot, "correction": sparse_correct_alternative_cosine, }, "hellinger": { "dist": sparse_alternative_hellinger, "correction": sparse_correct_alternative_hellinger, }, "jaccard": { "dist": sparse_alternative_jaccard, "correction": correct_alternative_jaccard, }, } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/sparse_nndescent.py0000644000175100017510000002251415130020663021133 0ustar00vstsvsts# Author: Leland McInnes # Enough simple sparse operations in numba to enable sparse UMAP # # License: BSD 3 clause from __future__ import print_function import numpy as np import numba from pynndescent.utils import ( tau_rand_int, make_heap, new_build_candidates, deheap_sort, checked_flagged_heap_push, sparse_generate_graph_update_array, apply_graph_update_array, EMPTY_GRAPH, ) from pynndescent.sparse import sparse_euclidean @numba.njit(parallel=True, cache=False) def generate_leaf_updates( updates, n_updates_per_thread, leaf_block, dist_thresholds, inds, indptr, data, dist, n_threads, ): """Generate leaf updates into pre-allocated arrays for parallel efficiency.""" n_leaves = leaf_block.shape[0] leaves_per_thread = (n_leaves + n_threads - 1) // n_threads # Reset update counts for t in range(n_threads): n_updates_per_thread[t] = 0 for t in numba.prange(n_threads): start_leaf = t * leaves_per_thread end_leaf = min(start_leaf + leaves_per_thread, n_leaves) max_updates = updates.shape[1] count = 0 for leaf_idx in range(start_leaf, end_leaf): for i in range(leaf_block.shape[1]): p = leaf_block[leaf_idx, i] if p < 0: break for j in range(i + 1, leaf_block.shape[1]): q = leaf_block[leaf_idx, j] if q < 0: break from_inds = inds[indptr[p] : indptr[p + 1]] from_data = data[indptr[p] : indptr[p + 1]] to_inds = inds[indptr[q] : indptr[q + 1]] to_data = data[indptr[q] : indptr[q + 1]] d = dist(from_inds, from_data, to_inds, to_data) if d < dist_thresholds[p] or d < dist_thresholds[q]: if count < max_updates: updates[t, count, 0] = np.float32(p) updates[t, count, 1] = np.float32(q) updates[t, count, 2] = d count += 1 n_updates_per_thread[t] = count return updates @numba.njit( locals={"d": numba.float32, "p": numba.int32, "q": numba.int32}, cache=False, parallel=True, ) def init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array, n_threads=8): n_leaves = leaf_array.shape[0] block_size = n_threads * 64 n_blocks = n_leaves // block_size max_leaf_size = leaf_array.shape[1] updates_per_thread = ( int(block_size * max_leaf_size * (max_leaf_size - 1) / (2 * n_threads)) + 1 ) updates = np.zeros((n_threads, updates_per_thread, 3), dtype=np.float32) n_updates_per_thread = np.zeros(n_threads, dtype=np.int32) n_vertices = current_graph[0].shape[0] vertex_block_size = n_vertices // n_threads + 1 for i in range(n_blocks + 1): block_start = i * block_size block_end = min(n_leaves, (i + 1) * block_size) leaf_block = leaf_array[block_start:block_end] dist_thresholds = current_graph[1][:, 0] generate_leaf_updates( updates, n_updates_per_thread, leaf_block, dist_thresholds, inds, indptr, data, dist, n_threads, ) for t in numba.prange(n_threads): v_block_start = t * vertex_block_size v_block_end = min(v_block_start + vertex_block_size, n_vertices) for j in range(n_threads): for k in range(n_updates_per_thread[j]): p = np.int32(updates[j, k, 0]) q = np.int32(updates[j, k, 1]) d = updates[j, k, 2] if p >= v_block_start and p < v_block_end: checked_flagged_heap_push( current_graph[1][p], current_graph[0][p], current_graph[2][p], d, q, np.uint8(1), ) if q >= v_block_start and q < v_block_end: checked_flagged_heap_push( current_graph[1][q], current_graph[0][q], current_graph[2][q], d, p, np.uint8(1), ) @numba.njit( fastmath=True, locals={"d": numba.float32, "i": numba.int32, "idx": numba.int32}, cache=False, ) def init_random(n_neighbors, inds, indptr, data, heap, dist, rng_state): n_samples = indptr.shape[0] - 1 for i in range(n_samples): if heap[0][i, 0] < 0.0: for j in range(n_neighbors - np.sum(heap[0][i] >= 0.0)): idx = np.abs(tau_rand_int(rng_state)) % n_samples from_inds = inds[indptr[idx] : indptr[idx + 1]] from_data = data[indptr[idx] : indptr[idx + 1]] to_inds = inds[indptr[i] : indptr[i + 1]] to_data = data[indptr[i] : indptr[i + 1]] d = dist(from_inds, from_data, to_inds, to_data) checked_flagged_heap_push( heap[1][i], heap[0][i], heap[2][i], d, idx, np.uint8(1) ) return @numba.njit(cache=False) def sparse_process_candidates( inds, indptr, data, dist, current_graph, new_candidate_neighbors, old_candidate_neighbors, n_blocks, block_size, n_threads, update_array, n_updates_per_thread, ): """Process candidate neighbors for sparse data using array-based updates.""" c = 0 n_vertices = new_candidate_neighbors.shape[0] for i in range(n_blocks + 1): block_start = i * block_size block_end = min(n_vertices, (i + 1) * block_size) new_candidate_block = new_candidate_neighbors[block_start:block_end] old_candidate_block = old_candidate_neighbors[block_start:block_end] dist_thresholds = current_graph[1][:, 0] sparse_generate_graph_update_array( update_array, n_updates_per_thread, new_candidate_block, old_candidate_block, dist_thresholds, inds, indptr, data, dist, n_threads, ) c += apply_graph_update_array( current_graph, update_array, n_updates_per_thread, n_threads ) return c @numba.njit() def nn_descent_internal( current_graph, inds, indptr, data, n_neighbors, rng_state, max_candidates=50, dist=sparse_euclidean, n_iters=10, delta=0.001, verbose=False, ): n_vertices = indptr.shape[0] - 1 block_size = 16384 n_blocks = n_vertices // block_size n_threads = numba.get_num_threads() # Pre-allocate update arrays max_updates_per_thread = ( int( (max_candidates**2 + max_candidates * (max_candidates - 1) / 2) * block_size / n_threads ) + 1024 ) update_array = np.empty((n_threads, max_updates_per_thread, 3), dtype=np.float32) n_updates_per_thread = np.zeros(n_threads, dtype=np.int32) for n in range(n_iters): if verbose: print("\t", n + 1, " / ", n_iters) (new_candidate_neighbors, old_candidate_neighbors) = new_build_candidates( current_graph, max_candidates, rng_state, n_threads ) c = sparse_process_candidates( inds, indptr, data, dist, current_graph, new_candidate_neighbors, old_candidate_neighbors, n_blocks, block_size, n_threads, update_array, n_updates_per_thread, ) if c <= delta * n_neighbors * n_vertices: if verbose: print("\tStopping threshold met -- exiting after", n + 1, "iterations") return @numba.njit() def nn_descent( inds, indptr, data, n_neighbors, rng_state, max_candidates=50, dist=sparse_euclidean, n_iters=10, delta=0.001, init_graph=EMPTY_GRAPH, rp_tree_init=True, leaf_array=None, low_memory=False, verbose=False, ): n_samples = indptr.shape[0] - 1 if init_graph[0].shape[0] == 1: # EMPTY_GRAPH current_graph = make_heap(n_samples, n_neighbors) if rp_tree_init: init_rp_tree(inds, indptr, data, dist, current_graph, leaf_array) init_random(n_neighbors, inds, indptr, data, current_graph, dist, rng_state) elif init_graph[0].shape[0] == n_samples and init_graph[0].shape[1] == n_neighbors: current_graph = init_graph else: raise ValueError("Invalid initial graph specified!") # Note: low_memory parameter is kept for API compatibility but # now uses the efficient array-based implementation nn_descent_internal( current_graph, inds, indptr, data, n_neighbors, rng_state, max_candidates=max_candidates, dist=dist, n_iters=n_iters, delta=delta, verbose=verbose, ) return deheap_sort(current_graph[0], current_graph[1]) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1767907788.2669635 pynndescent-0.6.0/pynndescent/tests/0000755000175100017510000000000015130020714016356 5ustar00vstsvsts././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/tests/__init__.py0000644000175100017510000000000015130020663020460 0ustar00vstsvsts././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/tests/conftest.py0000644000175100017510000000576115130020663020571 0ustar00vstsvstsimport os import pytest import numpy as np from scipy import sparse # Making Random Seed as a fixture in case it would be # needed in tests for random states @pytest.fixture def seed(): return 189212 # 0b101110001100011100 np.random.seed(189212) @pytest.fixture def spatial_data(): sp_data = np.random.randn(10, 20) # Add some all zero graph_data for corner case test sp_data = np.vstack([sp_data, np.zeros((2, 20))]).astype(np.float32, order="C") return sp_data @pytest.fixture def binary_data(): bin_data = np.random.choice(a=[False, True], size=(10, 20), p=[0.66, 1 - 0.66]) # Add some all zero graph_data for corner case test bin_data = np.vstack([bin_data, np.zeros((2, 20), dtype="bool")]) return bin_data @pytest.fixture def sparse_spatial_data(spatial_data, binary_data): sp_sparse_data = sparse.csr_matrix(spatial_data * binary_data, dtype=np.float32) sp_sparse_data.sort_indices() return sp_sparse_data @pytest.fixture def sparse_binary_data(binary_data): bin_sparse_data = sparse.csr_matrix(binary_data) bin_sparse_data.sort_indices() return bin_sparse_data @pytest.fixture def nn_data(): nndata = np.random.uniform(0, 1, size=(1000, 5)) # Add some all zero graph_data for corner case test nndata = np.vstack([nndata, np.zeros((2, 5))]) return nndata @pytest.fixture def sparse_nn_data(): return sparse.random(1000, 50, density=0.5, format="csr") @pytest.fixture def cosine_hang_data(): this_dir = os.path.dirname(os.path.abspath(__file__)) data_path = os.path.join(this_dir, "test_data/cosine_hang.npy") return np.load(data_path) @pytest.fixture def cosine_near_duplicates_data(): this_dir = os.path.dirname(os.path.abspath(__file__)) data_path = os.path.join(this_dir, "test_data/cosine_near_duplicates.npy") return np.load(data_path) @pytest.fixture def small_data(): return np.random.uniform(40, 5, size=(20, 5)) @pytest.fixture def sparse_small_data(): # Too low dim might cause more than one empty row, # which might decrease the computed performance return sparse.random(40, 32, density=0.5, format="csr") @pytest.fixture def update_data(): np.random.seed(12345) xs_orig = np.random.uniform(0, 1, size=(1000, 5)) xs_fresh = np.random.uniform(0, 1, size=xs_orig.shape) xs_fresh_small = np.random.uniform(0, 1, size=(100, xs_orig.shape[1])) xs_for_complete_update = np.random.uniform(0, 1, size=xs_orig.shape) updates = [ (xs_orig, None, None, None), (xs_orig, xs_fresh, None, None), (xs_orig, None, xs_for_complete_update, list(range(xs_orig.shape[0]))), (xs_orig, None, -xs_orig[0:50:2], list(range(0, 50, 2))), (xs_orig, None, -xs_orig[0:500:2], list(range(0, 500, 2))), (xs_orig, xs_fresh, xs_for_complete_update, list(range(xs_orig.shape[0]))), (xs_orig, xs_fresh_small, -xs_orig[0:50:2], list(range(0, 50, 2))), (xs_orig, xs_fresh, -xs_orig[0:500:2], list(range(0, 500, 2))), ] return updates ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1767907788.2689636 pynndescent-0.6.0/pynndescent/tests/test_data/0000755000175100017510000000000015130020714020326 5ustar00vstsvsts././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907763.0 pynndescent-0.6.0/pynndescent/tests/test_data/cosine_hang.npy0000644000175100017510000655560015130020663023357 0ustar00vstsvstsNUMPYv{'descr': 'ܿ}? 00p^?tL޿@ ?*)? ?@q"@f ඹZ?@4ȿ絾`$ؿ@?JYĿҿ;ٿ F@gvPYm?hGxQoݿd,̿]??8c p.߿(?0NS?q?W1?9A87?οRM?hd;?i?k:A_?οw+ڿ?T0ʿ V ?,ȿx~ǿ5?` q?Ѿڿh?9?տ?|Կx?ð"yGe\.}?kA ٣J}~lȿ`+3?S/@-%@@MݿH? ?`HY`Ae'˿@L3`? cv? !ҿ䦿_׿\ͩ? ?@-?/?jI?RQο6ÿ@3lAyLԿsٿ1?O0V-?0?Zѻ??3? ? 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import assert_array_equal, assert_array_almost_equal import pynndescent.distances as dist import pynndescent.sparse as spdist from scipy import stats from scipy.sparse import csr_matrix from scipy.version import full_version as scipy_full_version from sklearn.metrics import pairwise_distances from sklearn.neighbors import BallTree from sklearn.preprocessing import normalize @pytest.mark.parametrize( "metric", [ "euclidean", "manhattan", "chebyshev", "minkowski", "hamming", "canberra", "braycurtis", "cosine", "correlation", ], ) def test_spatial_check(spatial_data, metric): dist_matrix = pairwise_distances(spatial_data, metric=metric) # scipy is bad sometimes if metric == "braycurtis": dist_matrix[np.where(~np.isfinite(dist_matrix))] = 0.0 if metric in ("cosine", "correlation"): dist_matrix[np.where(~np.isfinite(dist_matrix))] = 1.0 # And because distance between all zero vectors should be zero dist_matrix[10, 11] = 0.0 dist_matrix[11, 10] = 0.0 dist_function = dist.named_distances[metric] test_matrix = np.array( [ [ dist_function(spatial_data[i], spatial_data[j]) for j in range(spatial_data.shape[0]) ] for i in range(spatial_data.shape[0]) ] ) assert_array_almost_equal( test_matrix, dist_matrix, err_msg="Distances don't match for metric {}".format(metric), ) @pytest.mark.parametrize( "metric", [ "jaccard", "matching", "dice", "rogerstanimoto", "russellrao", "sokalmichener", "sokalsneath", "yule", ], ) def test_binary_check(binary_data, metric): dist_matrix = pairwise_distances(binary_data, metric=metric) if metric in ("jaccard", "dice", "sokalsneath", "yule"): dist_matrix[np.where(~np.isfinite(dist_matrix))] = 0.0 if metric == "russellrao": dist_matrix[np.where(~np.isfinite(dist_matrix))] = 0.0 # And because distance between all zero vectors should be zero dist_matrix[10, 11] = 0.0 dist_matrix[11, 10] = 0.0 dist_function = dist.named_distances[metric] test_matrix = np.array( [ [ dist_function(binary_data[i], binary_data[j]) for j in range(binary_data.shape[0]) ] for i in range(binary_data.shape[0]) ] ) assert_array_almost_equal( test_matrix, dist_matrix, err_msg="Distances don't match for metric {}".format(metric), ) @pytest.mark.parametrize( "metric", [ "euclidean", "manhattan", "chebyshev", "minkowski", "hamming", "canberra", "cosine", "braycurtis", "correlation", ], ) def test_sparse_spatial_check(sparse_spatial_data, metric, decimal=6): if metric in spdist.sparse_named_distances: dist_matrix = pairwise_distances( np.asarray(sparse_spatial_data.todense()).astype(np.float32), metric=metric ) if metric in ("braycurtis", "dice", "sokalsneath", "yule"): dist_matrix[np.where(~np.isfinite(dist_matrix))] = 0.0 if metric in ("cosine", "correlation", "russellrao"): dist_matrix[np.where(~np.isfinite(dist_matrix))] = 1.0 # And because distance between all zero vectors should be zero dist_matrix[10, 11] = 0.0 dist_matrix[11, 10] = 0.0 dist_function = spdist.sparse_named_distances[metric] if metric in spdist.sparse_need_n_features: test_matrix = np.array( [ [ dist_function( sparse_spatial_data[i].indices, sparse_spatial_data[i].data, sparse_spatial_data[j].indices, sparse_spatial_data[j].data, sparse_spatial_data.shape[1], ) for j in range(sparse_spatial_data.shape[0]) ] for i in range(sparse_spatial_data.shape[0]) ] ) else: test_matrix = np.array( [ [ dist_function( sparse_spatial_data[i].indices, sparse_spatial_data[i].data, sparse_spatial_data[j].indices, sparse_spatial_data[j].data, ) for j in range(sparse_spatial_data.shape[0]) ] for i in range(sparse_spatial_data.shape[0]) ] ) assert_array_almost_equal( test_matrix, dist_matrix, err_msg="Sparse distances don't match for metric {}".format(metric), decimal=decimal, ) @pytest.mark.parametrize( "metric", [ "jaccard", "matching", "dice", "rogerstanimoto", "russellrao", "sokalmichener", "sokalsneath", ], ) def test_sparse_binary_check(sparse_binary_data, metric): if metric in spdist.sparse_named_distances: dist_matrix = pairwise_distances( np.asarray(sparse_binary_data.todense()), metric=metric ) if metric in ("jaccard", "dice", "sokalsneath"): dist_matrix[np.where(~np.isfinite(dist_matrix))] = 0.0 if metric == "russellrao": dist_matrix[np.where(~np.isfinite(dist_matrix))] = 1.0 # And because distance between all zero vectors should be zero dist_matrix[10, 11] = 0.0 dist_matrix[11, 10] = 0.0 dist_function = spdist.sparse_named_distances[metric] if metric in spdist.sparse_need_n_features: test_matrix = np.array( [ [ dist_function( sparse_binary_data[i].indices, sparse_binary_data[i].data, sparse_binary_data[j].indices, sparse_binary_data[j].data, sparse_binary_data.shape[1], ) for j in range(sparse_binary_data.shape[0]) ] for i in range(sparse_binary_data.shape[0]) ] ) else: test_matrix = np.array( [ [ dist_function( sparse_binary_data[i].indices, sparse_binary_data[i].data, sparse_binary_data[j].indices, sparse_binary_data[j].data, ) for j in range(sparse_binary_data.shape[0]) ] for i in range(sparse_binary_data.shape[0]) ] ) assert_array_almost_equal( test_matrix, dist_matrix, err_msg="Sparse distances don't match for metric {}".format(metric), ) def test_seuclidean(spatial_data): v = np.abs(np.random.randn(spatial_data.shape[1])) dist_matrix = pairwise_distances(spatial_data, metric="seuclidean", V=v) test_matrix = np.array( [ [ dist.standardised_euclidean(spatial_data[i], spatial_data[j], v) for j in range(spatial_data.shape[0]) ] for i in range(spatial_data.shape[0]) ] ) assert_array_almost_equal( test_matrix, dist_matrix, err_msg="Distances don't match for metric seuclidean", ) @pytest.mark.skipif( scipy_full_version < "1.8", reason="incorrect function in scipy<1.8" ) def test_weighted_minkowski(spatial_data): v = np.abs(np.random.randn(spatial_data.shape[1])) dist_matrix = pairwise_distances(spatial_data, metric="minkowski", w=v, p=3) test_matrix = np.array( [ [ dist.weighted_minkowski(spatial_data[i], spatial_data[j], v, p=3) for j in range(spatial_data.shape[0]) ] for i in range(spatial_data.shape[0]) ] ) assert_array_almost_equal( test_matrix, dist_matrix, err_msg="Distances don't match for metric weighted_minkowski", ) def test_mahalanobis(spatial_data): v = np.cov(np.transpose(spatial_data)) dist_matrix = pairwise_distances(spatial_data, metric="mahalanobis", VI=v) test_matrix = np.array( [ [ dist.mahalanobis(spatial_data[i], spatial_data[j], v) for j in range(spatial_data.shape[0]) ] for i in range(spatial_data.shape[0]) ] ) assert_array_almost_equal( test_matrix, dist_matrix, err_msg="Distances don't match for metric mahalanobis", ) def test_haversine(spatial_data): tree = BallTree(spatial_data[:, :2], metric="haversine") dist_matrix, _ = tree.query(spatial_data[:, :2], k=spatial_data.shape[0]) test_matrix = np.array( [ [ dist.haversine(spatial_data[i, :2], spatial_data[j, :2]) for j in range(spatial_data.shape[0]) ] for i in range(spatial_data.shape[0]) ] ) test_matrix.sort(axis=1) assert_array_almost_equal( test_matrix, dist_matrix, err_msg="Distances don't match for metric haversine", ) def test_spearmanr(): x = np.random.randn(100) y = np.random.randn(100) scipy_expected = stats.spearmanr(x, y) r = dist.spearmanr(x, y) assert_array_almost_equal(r, 1 - scipy_expected.correlation) def test_alternative_distances(): for distname in dist.fast_distance_alternatives: true_dist = dist.named_distances[distname] alt_dist = dist.fast_distance_alternatives[distname]["dist"] correction = dist.fast_distance_alternatives[distname]["correction"] for i in range(100): x = np.random.random(30).astype(np.float32) y = np.random.random(30).astype(np.float32) x[x < 0.25] = 0.0 y[y < 0.25] = 0.0 true_distance = true_dist(x, y) corrected_alt_distance = correction(alt_dist(x, y)) assert np.isclose(true_distance, corrected_alt_distance) def test_jensen_shannon(): test_data = np.random.random(size=(10, 50)) test_data = normalize(test_data, norm="l1") for i in range(test_data.shape[0]): for j in range(i + 1, test_data.shape[0]): m = (test_data[i] + test_data[j]) / 2.0 p = test_data[i] q = test_data[j] d1 = ( -np.sum(m * np.log(m)) + (np.sum(p * np.log(p)) + np.sum(q * np.log(q))) / 2.0 ) d2 = dist.jensen_shannon_divergence(p, q) assert np.isclose(d1, d2, rtol=1e-4) def test_sparse_jensen_shannon(): test_data = np.random.random(size=(10, 100)) # sparsify test_data[test_data <= 0.5] = 0.0 sparse_test_data = csr_matrix(test_data) sparse_test_data = normalize(sparse_test_data, norm="l1") test_data = normalize(test_data, norm="l1") for i in range(test_data.shape[0]): for j in range(i + 1, test_data.shape[0]): m = (test_data[i] + test_data[j]) / 2.0 p = test_data[i] q = test_data[j] d1 = ( -np.sum(m[m > 0] * np.log(m[m > 0])) + ( np.sum(p[p > 0] * np.log(p[p > 0])) + np.sum(q[q > 0] * np.log(q[q > 0])) ) / 2.0 ) d2 = spdist.sparse_jensen_shannon_divergence( sparse_test_data[i].indices, sparse_test_data[i].data, sparse_test_data[j].indices, sparse_test_data[j].data, ) assert np.isclose(d1, d2, rtol=1e-3) @pytest.mark.parametrize("p", [1.0, 2.0, 3.0, 0.5]) def test_wasserstein_1d(p): test_data = np.random.random(size=(10, 100)) # sparsify test_data[test_data <= 0.5] = 0.0 sparse_test_data = csr_matrix(test_data) for i in range(test_data.shape[0]): for j in range(i + 1, test_data.shape[0]): d1 = dist.wasserstein_1d(test_data[i], test_data[j], p) d2 = spdist.sparse_wasserstein_1d( sparse_test_data[i].indices, sparse_test_data[i].data, sparse_test_data[j].indices, sparse_test_data[j].data, p, ) assert np.isclose(d1, d2) def test_bit_hamming(): test_data = np.random.randint(0, 255, size=(10, 100), dtype=np.uint8) unpacked_data = np.zeros( (test_data.shape[0], test_data.shape[1] * 8), dtype=np.float32 ) for i in range(unpacked_data.shape[0]): for j in range(unpacked_data.shape[1]): unpacked_data[i, j] = (test_data[i, j // 8] & (1 << (j % 8))) > 0 all_pairs = pairwise_distances(unpacked_data, metric="hamming") for i in range(test_data.shape[0]): for j in range(i + 1, test_data.shape[0]): d1 = dist.bit_hamming(test_data[i], test_data[j]) / (test_data.shape[1] * 8) d2 = all_pairs[i, j] assert np.isclose(d1, d2) def test_bit_jaccard(): test_data = np.random.randint(0, 255, size=(10, 100), dtype=np.uint8) unpacked_data = np.zeros( (test_data.shape[0], test_data.shape[1] * 8), dtype=np.float32 ) for i in range(unpacked_data.shape[0]): for j in range(unpacked_data.shape[1]): unpacked_data[i, j] = (test_data[i, j // 8] & (1 << (j % 8))) > 0 all_pairs = pairwise_distances(unpacked_data, metric="jaccard") for i in range(test_data.shape[0]): for j in range(i + 1, test_data.shape[0]): d1 = 1.0 - np.exp(-dist.bit_jaccard(test_data[i], test_data[j])) d2 = all_pairs[i, j] assert np.isclose(d1, d2) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907764.0 pynndescent-0.6.0/pynndescent/tests/test_hub_trees.py0000644000175100017510000003421215130020664021755 0ustar00vstsvsts"""Unit tests for hub tree implementations. Tests hub-based tree construction for all data types: - Dense euclidean - Dense angular (cosine) - Sparse euclidean - Sparse angular (cosine) - Bit-packed """ import numpy as np import pytest from sklearn.neighbors import KDTree, NearestNeighbors from sklearn.preprocessing import normalize import scipy.sparse as sparse from pynndescent import NNDescent from pynndescent.rp_trees import ( euclidean_hub_split, angular_hub_split, sparse_euclidean_hub_split, sparse_angular_hub_split, bit_hub_split, compute_global_degrees, ) # ============================================================================ # Fixtures # ============================================================================ @pytest.fixture def hub_tree_data(): """Generate test data for hub tree tests.""" np.random.seed(42) return np.random.uniform(0, 1, size=(500, 20)).astype(np.float32) @pytest.fixture def hub_tree_sparse_data(): """Generate sparse test data for hub tree tests.""" np.random.seed(42) return sparse.random(500, 50, density=0.5, format="csr", dtype=np.float32) @pytest.fixture def hub_tree_bit_data(): """Generate bit-packed test data for hub tree tests.""" np.random.seed(42) data = np.random.uniform(0, 1, size=(500, 20)).astype(np.float32) return (data * 256).astype(np.uint8) # ============================================================================ # Test hub split functions directly # ============================================================================ def test_euclidean_hub_split_produces_valid_split(hub_tree_data): """Test that euclidean_hub_split produces a valid split.""" # Build a simple neighbor graph nnd = NNDescent(hub_tree_data, n_neighbors=15, random_state=42) neighbor_indices = nnd._neighbor_graph[0] indices = np.arange(100, dtype=np.int32) # Test with first 100 points rng_state = np.array([42, 12345, 67890], dtype=np.int64) global_degrees = compute_global_degrees(neighbor_indices) left, right, hyperplane, offset, balance = euclidean_hub_split( hub_tree_data, indices, neighbor_indices, global_degrees, rng_state ) # Check that split is valid assert len(left) > 0, "Left partition should not be empty" assert len(right) > 0, "Right partition should not be empty" assert len(left) + len(right) == len(indices), "Split should preserve all points" assert len(set(left) & set(right)) == 0, "Partitions should not overlap" assert ( hyperplane.shape[0] == hub_tree_data.shape[1] ), "Hyperplane dim should match data" def test_angular_hub_split_produces_valid_split(hub_tree_data): """Test that angular_hub_split produces a valid split.""" angular_data = normalize(hub_tree_data, norm="l2").astype(np.float32) nnd = NNDescent(angular_data, metric="cosine", n_neighbors=15, random_state=42) neighbor_indices = nnd._neighbor_graph[0] indices = np.arange(100, dtype=np.int32) rng_state = np.array([42, 12345, 67890], dtype=np.int64) global_degrees = compute_global_degrees(neighbor_indices) left, right, hyperplane, offset, balance = angular_hub_split( angular_data, indices, neighbor_indices, global_degrees, rng_state ) assert len(left) > 0, "Left partition should not be empty" assert len(right) > 0, "Right partition should not be empty" assert len(left) + len(right) == len(indices), "Split should preserve all points" assert offset == 0.0, "Angular split should have zero offset" def test_sparse_euclidean_hub_split_produces_valid_split(hub_tree_sparse_data): """Test that sparse_euclidean_hub_split produces a valid split.""" nnd = NNDescent(hub_tree_sparse_data, n_neighbors=15, random_state=42) neighbor_indices = nnd._neighbor_graph[0] indices = np.arange(100, dtype=np.int32) rng_state = np.array([42, 12345, 67890], dtype=np.int64) global_degrees = compute_global_degrees(neighbor_indices) sp_data = hub_tree_sparse_data.tocsr() left, right, hyperplane, offset = sparse_euclidean_hub_split( sp_data.indices, sp_data.indptr, sp_data.data, indices, neighbor_indices, global_degrees, rng_state, ) assert len(left) > 0, "Left partition should not be empty" assert len(right) > 0, "Right partition should not be empty" assert len(left) + len(right) == len(indices), "Split should preserve all points" def test_sparse_angular_hub_split_produces_valid_split(hub_tree_sparse_data): """Test that sparse_angular_hub_split produces a valid split.""" normalized_data = normalize(hub_tree_sparse_data, norm="l2") nnd = NNDescent(normalized_data, metric="cosine", n_neighbors=15, random_state=42) neighbor_indices = nnd._neighbor_graph[0] indices = np.arange(100, dtype=np.int32) rng_state = np.array([42, 12345, 67890], dtype=np.int64) global_degrees = compute_global_degrees(neighbor_indices) sp_data = normalized_data.tocsr() left, right, hyperplane, offset = sparse_angular_hub_split( sp_data.indices, sp_data.indptr, sp_data.data, indices, neighbor_indices, global_degrees, rng_state, ) assert len(left) > 0, "Left partition should not be empty" assert len(right) > 0, "Right partition should not be empty" assert len(left) + len(right) == len(indices), "Split should preserve all points" def test_bitpacked_hub_split_produces_valid_split(hub_tree_bit_data): """Test that bit_hub_split produces a valid split.""" nnd = NNDescent( hub_tree_bit_data, metric="bit_jaccard", n_neighbors=15, random_state=42 ) neighbor_indices = nnd._neighbor_graph[0] indices = np.arange(100, dtype=np.int32) rng_state = np.array([42, 12345, 67890], dtype=np.int64) global_degrees = compute_global_degrees(neighbor_indices) left, right, hyperplane, offset = bit_hub_split( hub_tree_bit_data, indices, neighbor_indices, global_degrees, rng_state ) assert len(left) > 0, "Left partition should not be empty" assert len(right) > 0, "Right partition should not be empty" assert len(left) + len(right) == len(indices), "Split should preserve all points" assert ( hyperplane.shape[0] == hub_tree_bit_data.shape[1] * 2 ), "Bit hyperplane should be 2x dim" # ============================================================================ # Test hub tree construction # ============================================================================ # ============================================================================ # Test hub tree construction (via end-to-end tests) # Note: Direct tree construction tests removed due to Numba typed list # serialization issues. The functionality is tested through query accuracy tests. # ============================================================================ # ============================================================================ # Test end-to-end query accuracy with hub trees # ============================================================================ def test_dense_euclidean_hub_tree_query_accuracy(hub_tree_data): """Test query accuracy after prepare() with dense euclidean hub tree.""" train_data = hub_tree_data[100:] query_data = hub_tree_data[:100] nnd = NNDescent(train_data, metric="euclidean", n_neighbors=15, random_state=42) nnd.prepare() # This builds the hub tree knn_indices, _ = nnd.query(query_data, k=10, epsilon=0.2) # Get true neighbors tree = KDTree(train_data) true_indices = tree.query(query_data, 10, return_distance=False) num_correct = 0.0 for i in range(query_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (query_data.shape[0] * 10) assert percent_correct >= 0.90, f"Query accuracy too low: {percent_correct:.2%}" def test_dense_angular_hub_tree_query_accuracy(hub_tree_data): """Test query accuracy after prepare() with dense angular hub tree.""" angular_data = normalize(hub_tree_data, norm="l2").astype(np.float32) train_data = angular_data[100:] query_data = angular_data[:100] nnd = NNDescent(train_data, metric="cosine", n_neighbors=15, random_state=42) nnd.prepare() knn_indices, _ = nnd.query(query_data, k=10, epsilon=0.2) nn = NearestNeighbors(metric="cosine").fit(train_data) true_indices = nn.kneighbors(query_data, n_neighbors=10, return_distance=False) num_correct = 0.0 for i in range(query_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (query_data.shape[0] * 10) assert percent_correct >= 0.90, f"Query accuracy too low: {percent_correct:.2%}" def test_sparse_euclidean_hub_tree_query_accuracy(hub_tree_sparse_data): """Test query accuracy after prepare() with sparse euclidean hub tree.""" train_data = hub_tree_sparse_data[100:] query_data = hub_tree_sparse_data[:100] nnd = NNDescent(train_data, metric="euclidean", n_neighbors=15, random_state=42) nnd.prepare() knn_indices, _ = nnd.query(query_data, k=10, epsilon=0.2) tree = KDTree(train_data.toarray()) true_indices = tree.query(query_data.toarray(), 10, return_distance=False) num_correct = 0.0 for i in range(query_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (query_data.shape[0] * 10) assert percent_correct >= 0.85, f"Query accuracy too low: {percent_correct:.2%}" def test_sparse_angular_hub_tree_query_accuracy(hub_tree_sparse_data): """Test query accuracy after prepare() with sparse angular hub tree.""" normalized_data = normalize(hub_tree_sparse_data, norm="l2") train_data = normalized_data[100:] query_data = normalized_data[:100] nnd = NNDescent(train_data, metric="cosine", n_neighbors=15, random_state=42) nnd.prepare() knn_indices, _ = nnd.query(query_data, k=10, epsilon=0.2) nn = NearestNeighbors(metric="cosine").fit(train_data.toarray()) true_indices = nn.kneighbors( query_data.toarray(), n_neighbors=10, return_distance=False ) num_correct = 0.0 for i in range(query_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (query_data.shape[0] * 10) assert percent_correct >= 0.85, f"Query accuracy too low: {percent_correct:.2%}" def test_bitpacked_hub_tree_query_accuracy(hub_tree_bit_data): """Test query accuracy after prepare() with bit-packed hub tree.""" # Unpack for ground truth computation unpacked_data = np.zeros( (hub_tree_bit_data.shape[0], hub_tree_bit_data.shape[1] * 8), dtype=np.float32 ) for i in range(unpacked_data.shape[0]): for j in range(unpacked_data.shape[1]): unpacked_data[i, j] = (hub_tree_bit_data[i, j // 8] & (1 << (j % 8))) > 0 train_idx = slice(100, None) query_idx = slice(0, 100) nnd = NNDescent( hub_tree_bit_data[train_idx], metric="bit_jaccard", n_neighbors=15, random_state=42, ) nnd.prepare() knn_indices, _ = nnd.query(hub_tree_bit_data[query_idx], k=10, epsilon=0.3) nn = NearestNeighbors(metric="jaccard").fit(unpacked_data[train_idx]) true_indices = nn.kneighbors( unpacked_data[query_idx], n_neighbors=10, return_distance=False ) num_correct = 0.0 for i in range(100): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (100 * 10) assert percent_correct >= 0.70, f"Query accuracy too low: {percent_correct:.2%}" # ============================================================================ # Test self-query accuracy (points should find themselves) # ============================================================================ def test_dense_euclidean_hub_tree_self_query(hub_tree_data): """Test that points can find themselves after prepare() with hub tree.""" nnd = NNDescent(hub_tree_data, metric="euclidean", n_neighbors=15, random_state=42) nnd.prepare() # Query first 50 points knn_indices, knn_distances = nnd.query(hub_tree_data[:50], k=1) self_found = sum(1 for i in range(50) if knn_indices[i, 0] == i) assert self_found >= 45, f"Self-query accuracy too low: {self_found}/50" def test_dense_angular_hub_tree_self_query(hub_tree_data): """Test self-query with angular hub tree.""" angular_data = normalize(hub_tree_data, norm="l2").astype(np.float32) nnd = NNDescent(angular_data, metric="cosine", n_neighbors=15, random_state=42) nnd.prepare() knn_indices, _ = nnd.query(angular_data[:50], k=1) self_found = sum(1 for i in range(50) if knn_indices[i, 0] == i) assert self_found >= 45, f"Self-query accuracy too low: {self_found}/50" def test_sparse_euclidean_hub_tree_self_query(hub_tree_sparse_data): """Test self-query with sparse euclidean hub tree.""" nnd = NNDescent( hub_tree_sparse_data, metric="euclidean", n_neighbors=15, random_state=42 ) nnd.prepare() knn_indices, _ = nnd.query(hub_tree_sparse_data[:50], k=1) self_found = sum(1 for i in range(50) if knn_indices[i, 0] == i) assert self_found >= 40, f"Self-query accuracy too low: {self_found}/50" def test_sparse_angular_hub_tree_self_query(hub_tree_sparse_data): """Test self-query with sparse angular hub tree.""" normalized_data = normalize(hub_tree_sparse_data, norm="l2") nnd = NNDescent(normalized_data, metric="cosine", n_neighbors=15, random_state=42) nnd.prepare() knn_indices, _ = nnd.query(normalized_data[:50], k=1) self_found = sum(1 for i in range(50) if knn_indices[i, 0] == i) assert self_found >= 40, f"Self-query accuracy too low: {self_found}/50" def test_bitpacked_hub_tree_self_query(hub_tree_bit_data): """Test self-query with bit-packed hub tree.""" nnd = NNDescent( hub_tree_bit_data, metric="bit_jaccard", n_neighbors=15, random_state=42 ) nnd.prepare() knn_indices, _ = nnd.query(hub_tree_bit_data[:50], k=1) self_found = sum(1 for i in range(50) if knn_indices[i, 0] == i) assert self_found >= 40, f"Self-query accuracy too low: {self_found}/50" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907764.0 pynndescent-0.6.0/pynndescent/tests/test_pynndescent_.py0000644000175100017510000006130615130020664022472 0ustar00vstsvstsimport os import io import re import pathlib import pytest from contextlib import redirect_stdout import numpy as np from sklearn.neighbors import KDTree from sklearn.neighbors import NearestNeighbors from sklearn.preprocessing import normalize import pickle import joblib import scipy from pynndescent import NNDescent, PyNNDescentTransformer def test_nn_descent_neighbor_accuracy(nn_data, seed): knn_indices, _ = NNDescent( nn_data, "euclidean", {}, 10, random_state=np.random.RandomState(seed) )._neighbor_graph tree = KDTree(nn_data) true_indices = tree.query(nn_data, 10, return_distance=False) num_correct = 0.0 for i in range(nn_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (nn_data.shape[0] * 10) assert ( percent_correct >= 0.98 ), "NN-descent did not get 99% accuracy on nearest neighbors" def test_angular_nn_descent_neighbor_accuracy(nn_data, seed): knn_indices, _ = NNDescent( nn_data, "cosine", {}, 10, random_state=np.random.RandomState(seed) )._neighbor_graph angular_data = normalize(nn_data, norm="l2") tree = KDTree(angular_data) true_indices = tree.query(angular_data, 10, return_distance=False) num_correct = 0.0 for i in range(nn_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (nn_data.shape[0] * 10) assert ( percent_correct >= 0.98 ), "NN-descent did not get 99% accuracy on nearest neighbors" def test_bitpacked_nn_descent_neighbor_accuracy(nn_data, seed): bitpacked_data = (nn_data * 256).astype(np.uint8) unpacked_data = np.zeros( (bitpacked_data.shape[0], bitpacked_data.shape[1] * 8), dtype=np.float32 ) for i in range(unpacked_data.shape[0]): for j in range(unpacked_data.shape[1]): unpacked_data[i, j] = (bitpacked_data[i, j // 8] & (1 << (j % 8))) > 0 knn_indices, _ = NNDescent( bitpacked_data, "bit_jaccard", {}, 10, random_state=np.random.RandomState(seed) )._neighbor_graph nn_finder = NearestNeighbors(n_neighbors=10, metric="jaccard").fit(unpacked_data) true_indices = nn_finder.kneighbors(unpacked_data, 10, return_distance=False) num_correct = 0.0 for i in range(nn_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (nn_data.shape[0] * 10) assert ( percent_correct >= 0.60 ), "NN-descent did not get 60% accuracy on nearest neighbors" @pytest.mark.skipif( list( map( int, re.findall(r"[0-9]+\.[0-9]+\.?[0-9]*", scipy.version.version)[0].split("."), ) ) < [1, 3, 0], reason="requires scipy >= 1.3.0", ) def test_sparse_nn_descent_neighbor_accuracy(sparse_nn_data, seed): knn_indices, _ = NNDescent( sparse_nn_data, "euclidean", n_neighbors=20, random_state=None )._neighbor_graph tree = KDTree(sparse_nn_data.toarray()) true_indices = tree.query(sparse_nn_data.toarray(), 10, return_distance=False) num_correct = 0.0 for i in range(sparse_nn_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (sparse_nn_data.shape[0] * 10) assert ( percent_correct >= 0.85 ), "Sparse NN-descent did not get 95% accuracy on nearest neighbors" @pytest.mark.skipif( list(map(int, scipy.version.version.split("."))) < [1, 3, 0], reason="requires scipy >= 1.3.0", ) def test_sparse_angular_nn_descent_neighbor_accuracy(sparse_nn_data): knn_indices, _ = NNDescent( sparse_nn_data, "cosine", {}, 20, random_state=None )._neighbor_graph angular_data = normalize(sparse_nn_data, norm="l2").toarray() tree = KDTree(angular_data) true_indices = tree.query(angular_data, 10, return_distance=False) num_correct = 0.0 for i in range(sparse_nn_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (sparse_nn_data.shape[0] * 10) assert ( percent_correct >= 0.85 ), "Sparse angular NN-descent did not get 98% accuracy on nearest neighbors" def test_nn_descent_query_accuracy(nn_data): nnd = NNDescent(nn_data[200:], "euclidean", n_neighbors=10, random_state=None) knn_indices, _ = nnd.query(nn_data[:200], k=10, epsilon=0.2) tree = KDTree(nn_data[200:]) true_indices = tree.query(nn_data[:200], 10, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert ( percent_correct >= 0.95 ), "NN-descent query did not get 95% accuracy on nearest neighbors" def test_nn_descent_query_accuracy_angular(nn_data): nnd = NNDescent(nn_data[200:], "cosine", n_neighbors=30, random_state=None) knn_indices, _ = nnd.query(nn_data[:200], k=10, epsilon=0.32) nn = NearestNeighbors(metric="cosine").fit(nn_data[200:]) true_indices = nn.kneighbors(nn_data[:200], n_neighbors=10, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert ( percent_correct >= 0.95 ), "NN-descent query did not get 95% accuracy on nearest neighbors" def test_sparse_nn_descent_query_accuracy(sparse_nn_data): nnd = NNDescent( sparse_nn_data[200:], "euclidean", n_neighbors=15, random_state=None ) knn_indices, _ = nnd.query(sparse_nn_data[:200], k=10, epsilon=0.24) tree = KDTree(sparse_nn_data[200:].toarray()) true_indices = tree.query(sparse_nn_data[:200].toarray(), 10, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert ( percent_correct >= 0.95 ), "Sparse NN-descent query did not get 95% accuracy on nearest neighbors" def test_sparse_nn_descent_query_accuracy_angular(sparse_nn_data): nnd = NNDescent(sparse_nn_data[200:], "cosine", n_neighbors=50, random_state=None) knn_indices, _ = nnd.query(sparse_nn_data[:200], k=10, epsilon=0.36) nn = NearestNeighbors(metric="cosine").fit(sparse_nn_data[200:].toarray()) true_indices = nn.kneighbors( sparse_nn_data[:200].toarray(), n_neighbors=10, return_distance=False ) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert ( percent_correct >= 0.95 ), "Sparse NN-descent query did not get 95% accuracy on nearest neighbors" def test_bitpacked_nn_descent_query_accuracy(nn_data): bitpacked_data = (nn_data * 256).astype(np.uint8) unpacked_data = np.zeros( (bitpacked_data.shape[0], bitpacked_data.shape[1] * 8), dtype=np.float32 ) for i in range(unpacked_data.shape[0]): for j in range(unpacked_data.shape[1]): unpacked_data[i, j] = (bitpacked_data[i, j // 8] & (1 << (j % 8))) > 0 nnd = NNDescent( bitpacked_data[200:], "bit_jaccard", n_neighbors=50, random_state=None ) knn_indices, _ = nnd.query(bitpacked_data[:200], k=10, epsilon=0.36) nn = NearestNeighbors(metric="jaccard").fit(unpacked_data[200:]) true_indices = nn.kneighbors( unpacked_data[:200], n_neighbors=10, return_distance=False ) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert ( percent_correct >= 0.80 ), "Sparse NN-descent query did not get 95% accuracy on nearest neighbors" def test_transformer_equivalence(nn_data): N_NEIGHBORS = 15 EPSILON = 0.15 train = nn_data[:400] test = nn_data[:200] # Note we shift N_NEIGHBORS to conform to sklearn's KNeighborTransformer defn nnd = NNDescent( data=train, n_neighbors=N_NEIGHBORS + 1, random_state=42, compressed=False ) indices, dists = nnd.query(test, k=N_NEIGHBORS, epsilon=EPSILON) sort_idx = np.argsort(indices, axis=1) indices_sorted = np.vstack( [indices[i, sort_idx[i]] for i in range(sort_idx.shape[0])] ) dists_sorted = np.vstack([dists[i, sort_idx[i]] for i in range(sort_idx.shape[0])]) # Note we shift N_NEIGHBORS to conform to sklearn' KNeighborTransformer defn transformer = PyNNDescentTransformer( n_neighbors=N_NEIGHBORS, search_epsilon=EPSILON, random_state=42 ).fit(train, compress_index=False) Xt = transformer.transform(test).sorted_indices() assert np.all(Xt.indices == indices_sorted.flatten()) assert np.allclose(Xt.data, dists_sorted.flat) def test_random_state_none(nn_data, spatial_data): knn_indices, _ = NNDescent( nn_data, "euclidean", {}, 10, random_state=None )._neighbor_graph tree = KDTree(nn_data) true_indices = tree.query(nn_data, 10, return_distance=False) num_correct = 0.0 for i in range(nn_data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (spatial_data.shape[0] * 10) assert ( percent_correct >= 0.99 ), "NN-descent did not get 99% accuracy on nearest neighbors" def test_deterministic(): seed = np.random.RandomState(42) x1 = seed.normal(0, 100, (1000, 50)) x2 = seed.normal(0, 100, (1000, 50)) index1 = NNDescent(x1, random_state=np.random.RandomState(42)) neighbors1, distances1 = index1.query(x2) index2 = NNDescent(x1, random_state=np.random.RandomState(42)) neighbors2, distances2 = index2.query(x2) np.testing.assert_equal(neighbors1, neighbors2) np.testing.assert_equal(distances1, distances2) # This tests a recursion error on cosine metric reported at: # https://github.com/lmcinnes/umap/issues/99 # graph_data used is a cut-down version of that provided by @scharron # It contains lots of all-zero vectors and some other duplicates def test_rp_trees_should_not_stack_overflow_with_duplicate_data(seed, cosine_hang_data): n_neighbors = 10 knn_indices, _ = NNDescent( cosine_hang_data, "cosine", {}, n_neighbors, random_state=np.random.RandomState(seed), n_trees=20, )._neighbor_graph for i in range(cosine_hang_data.shape[0]): assert len(knn_indices[i]) == len( np.unique(knn_indices[i]) ), "Duplicate graph_indices in knn graph" def test_deduplicated_data_behaves_normally(seed, cosine_hang_data): data = np.unique(cosine_hang_data, axis=0) data = data[~np.all(data == 0, axis=1)] data = data[:1000] n_neighbors = 10 knn_indices, _ = NNDescent( data, "cosine", {}, n_neighbors, random_state=np.random.RandomState(seed), n_trees=20, )._neighbor_graph for i in range(data.shape[0]): assert len(knn_indices[i]) == len( np.unique(knn_indices[i]) ), "Duplicate graph_indices in knn graph" angular_data = normalize(data, norm="l2") tree = KDTree(angular_data) true_indices = tree.query(angular_data, n_neighbors, return_distance=False) num_correct = 0 for i in range(data.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) proportion_correct = num_correct / (data.shape[0] * n_neighbors) assert ( proportion_correct >= 0.95 ), "NN-descent did not get 95% accuracy on nearest neighbors" def test_rp_trees_should_not_stack_overflow_with_near_duplicate_data( seed, cosine_near_duplicates_data ): n_neighbors = 10 knn_indices, _ = NNDescent( cosine_near_duplicates_data, "cosine", {}, n_neighbors, random_state=np.random.RandomState(seed), n_trees=20, )._neighbor_graph for i in range(cosine_near_duplicates_data.shape[0]): assert len(knn_indices[i]) == len( np.unique(knn_indices[i]) ), "Duplicate graph_indices in knn graph" def test_output_when_verbose_is_true(spatial_data, seed): out = io.StringIO() with redirect_stdout(out): _ = NNDescent( data=spatial_data, metric="euclidean", metric_kwds={}, n_neighbors=4, random_state=np.random.RandomState(seed), n_trees=5, n_iters=2, verbose=True, ) output = out.getvalue() assert re.match("^.*5 trees", output, re.DOTALL) assert re.match("^.*2 iterations", output, re.DOTALL) def test_no_output_when_verbose_is_false(spatial_data, seed): out = io.StringIO() with redirect_stdout(out): _ = NNDescent( data=spatial_data, metric="euclidean", metric_kwds={}, n_neighbors=4, random_state=np.random.RandomState(seed), n_trees=5, n_iters=2, verbose=False, ) output = out.getvalue().strip() assert len(output) == 0 # same as the previous two test, but this time using the PyNNDescentTransformer # interface def test_transformer_output_when_verbose_is_true(spatial_data, seed): out = io.StringIO() with redirect_stdout(out): _ = PyNNDescentTransformer( n_neighbors=4, metric="euclidean", metric_kwds={}, random_state=np.random.RandomState(seed), n_trees=5, n_iters=2, verbose=True, ).fit_transform(spatial_data) output = out.getvalue() assert re.match("^.*5 trees", output, re.DOTALL) assert re.match("^.*2 iterations", output, re.DOTALL) def test_transformer_output_when_verbose_is_false(spatial_data, seed): out = io.StringIO() with redirect_stdout(out): _ = PyNNDescentTransformer( n_neighbors=4, metric="standardised_euclidean", metric_kwds={"sigma": np.ones(spatial_data.shape[1])}, random_state=np.random.RandomState(seed), n_trees=5, n_iters=2, verbose=False, ).fit_transform(spatial_data) output = out.getvalue().strip() assert len(output) == 0 def test_pickle_unpickle(): seed = np.random.RandomState(42) x1 = seed.normal(0, 100, (1000, 50)) x2 = seed.normal(0, 100, (1000, 50)) index1 = NNDescent(x1, "euclidean", {}, 10, random_state=None) neighbors1, distances1 = index1.query(x2) mem_temp = io.BytesIO() pickle.dump(index1, mem_temp) mem_temp.seek(0) index2 = pickle.load(mem_temp) neighbors2, distances2 = index2.query(x2) np.testing.assert_equal(neighbors1, neighbors2) np.testing.assert_equal(distances1, distances2) def test_compressed_pickle_unpickle(): seed = np.random.RandomState(42) x1 = seed.normal(0, 100, (1000, 50)) x2 = seed.normal(0, 100, (1000, 50)) index1 = NNDescent(x1, "euclidean", {}, 10, random_state=None, compressed=True) neighbors1, distances1 = index1.query(x2) mem_temp = io.BytesIO() pickle.dump(index1, mem_temp) mem_temp.seek(0) index2 = pickle.load(mem_temp) neighbors2, distances2 = index2.query(x2) np.testing.assert_equal(neighbors1, neighbors2) np.testing.assert_equal(distances1, distances2) def test_transformer_pickle_unpickle(): seed = np.random.RandomState(42) x1 = seed.normal(0, 100, (1000, 50)) x2 = seed.normal(0, 100, (1000, 50)) index1 = PyNNDescentTransformer(n_neighbors=10).fit(x1) result1 = index1.transform(x2) mem_temp = io.BytesIO() pickle.dump(index1, mem_temp) mem_temp.seek(0) index2 = pickle.load(mem_temp) result2 = index2.transform(x2) np.testing.assert_equal(result1.indices, result2.indices) np.testing.assert_equal(result1.data, result2.data) def test_joblib_dump(): seed = np.random.RandomState(42) x1 = seed.normal(0, 100, (1000, 50)) x2 = seed.normal(0, 100, (1000, 50)) index1 = NNDescent(x1, "euclidean", {}, 10, random_state=None) neighbors1, distances1 = index1.query(x2) mem_temp = io.BytesIO() joblib.dump(index1, mem_temp) mem_temp.seek(0) index2 = joblib.load(mem_temp) neighbors2, distances2 = index2.query(x2) np.testing.assert_equal(neighbors1, neighbors2) np.testing.assert_equal(distances1, distances2) @pytest.mark.parametrize("metric", ["euclidean", "cosine"]) def test_update_no_prepare_query_accuracy(nn_data, metric): nnd = NNDescent(nn_data[200:800], metric=metric, n_neighbors=10, random_state=None) nnd.update(xs_fresh=nn_data[800:]) knn_indices, _ = nnd.query(nn_data[:200], k=10, epsilon=0.2) true_nnd = NearestNeighbors(metric=metric).fit(nn_data[200:]) true_indices = true_nnd.kneighbors(nn_data[:200], 10, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert percent_correct >= 0.95, ( "NN-descent query did not get 95% " "accuracy on nearest neighbors" ) @pytest.mark.parametrize("metric", ["euclidean", "cosine"]) def test_update_w_prepare_query_accuracy(nn_data, metric): nnd = NNDescent( nn_data[200:800], metric=metric, n_neighbors=10, random_state=None, compressed=False, ) nnd.prepare() nnd.update(xs_fresh=nn_data[800:]) nnd.prepare() knn_indices, _ = nnd.query(nn_data[:200], k=10, epsilon=0.2) true_nnd = NearestNeighbors(metric=metric).fit(nn_data[200:]) true_indices = true_nnd.kneighbors(nn_data[:200], 10, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert percent_correct >= 0.95, ( "NN-descent query did not get 95% " "accuracy on nearest neighbors" ) @pytest.mark.parametrize("metric", ["euclidean", "cosine"]) def test_update_w_prepare_query_accuracy(nn_data, metric): nnd = NNDescent( nn_data[200:800], metric=metric, n_neighbors=10, random_state=None, compressed=False, ) nnd.prepare() nnd.update(xs_fresh=nn_data[800:]) nnd.prepare() knn_indices, _ = nnd.query(nn_data[:200], k=10, epsilon=0.2) true_nnd = NearestNeighbors(metric=metric).fit(nn_data[200:]) true_indices = true_nnd.kneighbors(nn_data[:200], 10, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert percent_correct >= 0.95, ( "NN-descent query did not get 95% " "accuracy on nearest neighbors" ) def evaluate_predictions(neighbors_true, neigbhors_computed, n_neighbors): n_correct = 0 n_all = neighbors_true.shape[0] * n_neighbors for i in range(neighbors_true.shape[0]): n_correct += np.sum(np.isin(neighbors_true[i], neigbhors_computed[i])) return n_correct / n_all @pytest.mark.parametrize("metric", ["manhattan", "euclidean", "cosine"]) @pytest.mark.parametrize("case", list(range(8))) # the number of cases in update_data def test_update_with_changed_data(update_data, case, metric): def evaluate(nn_descent, xs_to_fit, xs_to_query): true_nn = NearestNeighbors(metric=metric, n_neighbors=k).fit(xs_to_fit) neighbors, _ = nn_descent.query(xs_to_query, k=k) neighbors_expected = true_nn.kneighbors(xs_to_query, k, return_distance=False) p_correct = evaluate_predictions(neighbors_expected, neighbors, k) assert p_correct >= 0.95, ( "NN-descent query did not get 95% " "accuracy on nearest neighbors" ) k = 10 xs_orig, xs_fresh, xs_updated, indices_updated = update_data[case] queries1 = xs_orig # original index = NNDescent(xs_orig, metric=metric, n_neighbors=40, random_state=1234) index.prepare() evaluate(index, xs_orig, queries1) # updated index.update( xs_fresh=xs_fresh, xs_updated=xs_updated, updated_indices=indices_updated ) if xs_fresh is not None: xs = np.vstack((xs_orig, xs_fresh)) queries2 = np.vstack((queries1, xs_fresh)) else: xs = xs_orig queries2 = queries1 if indices_updated is not None: xs[indices_updated] = xs_updated evaluate(index, xs, queries2) if indices_updated is not None: evaluate(index, xs, xs_updated) @pytest.mark.parametrize("n_trees", [1, 2, 3, 10]) def test_tree_numbers_after_multiple_updates(n_trees): trees_after_update = max(2, int(np.round(n_trees / 3))) nnd = NNDescent(np.array([[1.0]]), n_neighbors=1, n_trees=n_trees) assert nnd.n_trees == n_trees, "NN-descent update changed the number of trees" assert ( nnd.n_trees_after_update == trees_after_update ), "The value of the n_trees_after_update in NN-descent after update(s) is wrong" for i in range(5): nnd.update(xs_fresh=np.array([[i]], dtype=np.float64)) assert ( nnd.n_trees == trees_after_update ), "The value of the n_trees in NN-descent after update(s) is wrong" assert ( nnd.n_trees_after_update == trees_after_update ), "The value of the n_trees_after_update in NN-descent after update(s) is wrong" @pytest.mark.parametrize("metric", ["euclidean", "cosine"]) def test_tree_init_false(nn_data, metric): nnd = NNDescent( nn_data[200:], metric=metric, n_neighbors=10, random_state=None, tree_init=False ) nnd.prepare() knn_indices, _ = nnd.query(nn_data[:200], k=10, epsilon=0.2) true_nnd = NearestNeighbors(metric=metric).fit(nn_data[200:]) true_indices = true_nnd.kneighbors(nn_data[:200], 10, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert percent_correct >= 0.95, ( "NN-descent query did not get 95% " "accuracy on nearest neighbors" ) @pytest.mark.parametrize( "metric", ["euclidean", "manhattan"] ) # cosine makes no sense for 1D def test_one_dimensional_data(nn_data, metric): nnd = NNDescent( nn_data[200:, :1], metric=metric, n_neighbors=20, random_state=None, tree_init=False, ) nnd.prepare() knn_indices, _ = nnd.query(nn_data[:200, :1], k=10, epsilon=0.2) true_nnd = NearestNeighbors(metric=metric).fit(nn_data[200:, :1]) true_indices = true_nnd.kneighbors(nn_data[:200, :1], 10, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * 10) assert percent_correct >= 0.95, ( "NN-descent query did not get 95% " "accuracy on nearest neighbors" ) @pytest.mark.parametrize("metric", ["euclidean", "cosine"]) def test_tree_no_split(small_data, sparse_small_data, metric): k = 10 for data, data_type in zip([small_data, sparse_small_data], ["dense", "sparse"]): n_instances = data.shape[0] leaf_size = n_instances + 1 # just to be safe data_train = data[n_instances // 2 :] data_test = data[: n_instances // 2] nnd = NNDescent( data_train, metric=metric, n_neighbors=data_train.shape[0] - 1, random_state=None, tree_init=True, leaf_size=leaf_size, ) nnd.prepare() knn_indices, _ = nnd.query(data_test, k=k, epsilon=0.2) true_nnd = NearestNeighbors(metric=metric).fit(data_train) true_indices = true_nnd.kneighbors(data_test, k, return_distance=False) num_correct = 0.0 for i in range(true_indices.shape[0]): num_correct += np.sum(np.isin(true_indices[i], knn_indices[i])) percent_correct = num_correct / (true_indices.shape[0] * k) assert ( percent_correct >= 0.95 ), "NN-descent query did not get 95% for accuracy on nearest neighbors on {} data".format( data_type ) @pytest.mark.skipif( "NUMBA_DISABLE_JIT" in os.environ, reason="Too expensive for disabled Numba" ) def test_bad_data(): test_data_dir = pathlib.Path(__file__).parent / "test_data" data = np.sqrt(np.load(test_data_dir / "pynndescent_bug_np.npz")["arr_0"]) index = NNDescent(data, metric="cosine") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907764.0 pynndescent-0.6.0/pynndescent/tests/test_rank.py0000644000175100017510000001544715130020664020741 0ustar00vstsvstsimport pytest import numpy as np from numpy.testing import assert_array_equal from pynndescent.distances import rankdata def test_empty(): """rankdata([]) should return an empty array.""" a = np.array([], dtype=int) r = rankdata(a) assert_array_equal(r, np.array([], dtype=np.float64)) def test_one(): """Check rankdata with an array of length 1.""" data = [100] a = np.array(data, dtype=int) r = rankdata(a) assert_array_equal(r, np.array([1.0], dtype=np.float64)) def test_basic(): """Basic tests of rankdata.""" data = [100, 10, 50] expected = np.array([3.0, 1.0, 2.0], dtype=np.float64) a = np.array(data, dtype=int) r = rankdata(a) assert_array_equal(r, expected) data = [40, 10, 30, 10, 50] expected = np.array([4.0, 1.5, 3.0, 1.5, 5.0], dtype=np.float64) a = np.array(data, dtype=int) r = rankdata(a) assert_array_equal(r, expected) data = [20, 20, 20, 10, 10, 10] expected = np.array([5.0, 5.0, 5.0, 2.0, 2.0, 2.0], dtype=np.float64) a = np.array(data, dtype=int) r = rankdata(a) assert_array_equal(r, expected) # The docstring states explicitly that the argument is flattened. a2d = a.reshape(2, 3) r = rankdata(a2d) assert_array_equal(r, expected) def test_rankdata_object_string(): min_rank = lambda a: [1 + sum(i < j for i in a) for j in a] max_rank = lambda a: [sum(i <= j for i in a) for j in a] ordinal_rank = lambda a: min_rank([(x, i) for i, x in enumerate(a)]) def average_rank(a): return np.array([(i + j) / 2.0 for i, j in zip(min_rank(a), max_rank(a))]) def dense_rank(a): b = np.unique(a) return np.array([1 + sum(i < j for i in b) for j in a]) rankf = dict( min=min_rank, max=max_rank, ordinal=ordinal_rank, average=average_rank, dense=dense_rank, ) def check_ranks(a): for method in "min", "max", "dense", "ordinal", "average": out = rankdata(a, method=method) assert_array_equal(out, rankf[method](a)) check_ranks(np.random.uniform(size=[200])) def test_large_int(): data = np.array([2**60, 2**60 + 1], dtype=np.uint64) r = rankdata(data) assert_array_equal(r, [1.0, 2.0]) data = np.array([2**60, 2**60 + 1], dtype=np.int64) r = rankdata(data) assert_array_equal(r, [1.0, 2.0]) data = np.array([2**60, -(2**60) + 1], dtype=np.int64) r = rankdata(data) assert_array_equal(r, [2.0, 1.0]) def test_big_tie(): for n in [10000, 100000, 1000000]: data = np.ones(n, dtype=int) r = rankdata(data) expected_rank = 0.5 * (n + 1) assert_array_equal(r, expected_rank * data, "test failed with n=%d" % n) @pytest.mark.parametrize( "values,method,expected", [ # values, method, expected (np.array([], np.float64), "average", np.array([], np.float64)), (np.array([], np.float64), "min", np.array([], np.float64)), (np.array([], np.float64), "max", np.array([], np.float64)), (np.array([], np.float64), "dense", np.array([], np.float64)), (np.array([], np.float64), "ordinal", np.array([], np.float64)), # (np.array([100], np.float64), "average", np.array([1.0], np.float64)), (np.array([100], np.float64), "min", np.array([1.0], np.float64)), (np.array([100], np.float64), "max", np.array([1.0], np.float64)), (np.array([100], np.float64), "dense", np.array([1.0], np.float64)), (np.array([100], np.float64), "ordinal", np.array([1.0], np.float64)), # # ( np.array([100, 100, 100], np.float64), "average", np.array([2.0, 2.0, 2.0], np.float64), ), ( np.array([100, 100, 100], np.float64), "min", np.array([1.0, 1.0, 1.0], np.float64), ), ( np.array([100, 100, 100], np.float64), "max", np.array([3.0, 3.0, 3.0], np.float64), ), ( np.array([100, 100, 100], np.float64), "dense", np.array([1.0, 1.0, 1.0], np.float64), ), ( np.array([100, 100, 100], np.float64), "ordinal", np.array([1.0, 2.0, 3.0], np.float64), ), # ( np.array([100, 300, 200], np.float64), "average", np.array([1.0, 3.0, 2.0], np.float64), ), ( np.array([100, 300, 200], np.float64), "min", np.array([1.0, 3.0, 2.0], np.float64), ), ( np.array([100, 300, 200], np.float64), "max", np.array([1.0, 3.0, 2.0], np.float64), ), ( np.array([100, 300, 200], np.float64), "dense", np.array([1.0, 3.0, 2.0], np.float64), ), ( np.array([100, 300, 200], np.float64), "ordinal", np.array([1.0, 3.0, 2.0], np.float64), ), # ( np.array([100, 200, 300, 200], np.float64), "average", np.array([1.0, 2.5, 4.0, 2.5], np.float64), ), ( np.array([100, 200, 300, 200], np.float64), "min", np.array([1.0, 2.0, 4.0, 2.0], np.float64), ), ( np.array([100, 200, 300, 200], np.float64), "max", np.array([1.0, 3.0, 4.0, 3.0], np.float64), ), ( np.array([100, 200, 300, 200], np.float64), "dense", np.array([1.0, 2.0, 3.0, 2.0], np.float64), ), ( np.array([100, 200, 300, 200], np.float64), "ordinal", np.array([1.0, 2.0, 4.0, 3.0], np.float64), ), # ( np.array([100, 200, 300, 200, 100], np.float64), "average", np.array([1.5, 3.5, 5.0, 3.5, 1.5], np.float64), ), ( np.array([100, 200, 300, 200, 100], np.float64), "min", np.array([1.0, 3.0, 5.0, 3.0, 1.0], np.float64), ), ( np.array([100, 200, 300, 200, 100], np.float64), "max", np.array([2.0, 4.0, 5.0, 4.0, 2.0], np.float64), ), ( np.array([100, 200, 300, 200, 100], np.float64), "dense", np.array([1.0, 2.0, 3.0, 2.0, 1.0], np.float64), ), ( np.array([100, 200, 300, 200, 100], np.float64), "ordinal", np.array([1.0, 3.0, 5.0, 4.0, 2.0], np.float64), ), # ( np.array([10] * 30, np.float64), "ordinal", np.arange(1.0, 31.0, dtype=np.float64), ), ], ) def test_cases(values, method, expected): r = rankdata(values, method=method) assert_array_equal(r, expected) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907764.0 pynndescent-0.6.0/pynndescent/threaded_rp_trees.py0000644000175100017510000000563515130020664021266 0ustar00vstsvstsimport numpy as np import numba from pynndescent.utils import tau_rand_int, norm ###################################################### # Alternative tree approach; should be the basis # for a dask-distributed version of the algorithm ###################################################### @numba.njit(fastmath=True, nogil=True) def apply_hyperplane( data, hyperplane_vector, hyperplane_offset, hyperplane_node_num, current_num_nodes, data_node_loc, rng_state, ): left_node = current_num_nodes right_node = current_num_nodes + 1 for i in range(data_node_loc.shape[0]): if data_node_loc[i] != hyperplane_node_num: continue margin = hyperplane_offset for d in range(hyperplane_vector.shape[0]): margin += hyperplane_vector[d] * data[i, d] if margin == 0: if abs(tau_rand_int(rng_state)) % 2 == 0: data_node_loc[i] = left_node else: data_node_loc[i] = right_node elif margin > 0: data_node_loc[i] = left_node else: data_node_loc[i] = right_node return @numba.njit(fastmath=True, nogil=True) def make_euclidean_hyperplane(data, indices, rng_state): left_index = tau_rand_int(rng_state) % indices.shape[0] right_index = tau_rand_int(rng_state) % indices.shape[0] right_index += left_index == right_index right_index = right_index % indices.shape[0] left = indices[left_index] right = indices[right_index] # Compute the normal vector to the hyperplane (the vector between # the two points) and the offset from the origin hyperplane_offset = 0.0 hyperplane_vector = np.empty(data.shape[1], dtype=np.float32) for d in range(data.shape[1]): hyperplane_vector[d] = data[left, d] - data[right, d] hyperplane_offset -= ( hyperplane_vector[d] * (data[left, d] + data[right, d]) / 2.0 ) return hyperplane_vector, hyperplane_offset @numba.njit(fastmath=True, nogil=True) def make_angular_hyperplane(data, indices, rng_state): left_index = tau_rand_int(rng_state) % indices.shape[0] right_index = tau_rand_int(rng_state) % indices.shape[0] right_index += left_index == right_index right_index = right_index % indices.shape[0] left = indices[left_index] right = indices[right_index] left_norm = norm(data[left]) right_norm = norm(data[right]) if left_norm == 0.0: left_norm = 1.0 if right_norm == 0.0: right_norm = 1.0 # Compute the normal vector to the hyperplane (the vector between # the two points) and the offset from the origin hyperplane_offset = 0.0 hyperplane_vector = np.empty(data.shape[1], dtype=np.float32) for d in range(data.shape[1]): hyperplane_vector[d] = (data[left, d] / left_norm) - ( data[right, d] / right_norm ) return hyperplane_vector, hyperplane_offset ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907764.0 pynndescent-0.6.0/pynndescent/utils.py0000644000175100017510000006323315130020664016741 0ustar00vstsvsts# Author: Leland McInnes # # License: BSD 2 clause import time import numba import numpy as np @numba.njit("void(i8[:], i8)", cache=True) def seed(rng_state, seed): """Seed the random number generator with a given seed.""" rng_state.fill(seed + 0xFFFF) @numba.njit("i4(i8[:])", cache=True) def tau_rand_int(state): """A fast (pseudo)-random number generator. Parameters ---------- state: array of int64, shape (3,) The internal state of the rng Returns ------- A (pseudo)-random int32 value """ state[0] = (((state[0] & 4294967294) << 12) & 0xFFFFFFFF) ^ ( (((state[0] << 13) & 0xFFFFFFFF) ^ state[0]) >> 19 ) state[1] = (((state[1] & 4294967288) << 4) & 0xFFFFFFFF) ^ ( (((state[1] << 2) & 0xFFFFFFFF) ^ state[1]) >> 25 ) state[2] = (((state[2] & 4294967280) << 17) & 0xFFFFFFFF) ^ ( (((state[2] << 3) & 0xFFFFFFFF) ^ state[2]) >> 11 ) return state[0] ^ state[1] ^ state[2] @numba.njit("f4(i8[:])", cache=True) def tau_rand(state): """A fast (pseudo)-random number generator for floats in the range [0,1] Parameters ---------- state: array of int64, shape (3,) The internal state of the rng Returns ------- A (pseudo)-random float32 in the interval [0, 1] """ integer = tau_rand_int(state) return abs(float(integer) / 0x7FFFFFFF) @numba.njit( [ "f4(f4[::1])", numba.types.float32( numba.types.Array(numba.types.float32, 1, "C", readonly=True) ), ], locals={ "dim": numba.types.intp, "i": numba.types.uint32, # "result": numba.types.float32, # This provides speed, but causes errors in corner cases }, fastmath=True, cache=True, ) def norm(vec): """Compute the (standard l2) norm of a vector. Parameters ---------- vec: array of shape (dim,) Returns ------- The l2 norm of vec. """ result = 0.0 dim = vec.shape[0] for i in range(dim): result += vec[i] * vec[i] return np.sqrt(result) @numba.njit(cache=True) def rejection_sample(n_samples, pool_size, rng_state): """Generate n_samples many integers from 0 to pool_size such that no integer is selected twice. The duplication constraint is achieved via rejection sampling. Parameters ---------- n_samples: int The number of random samples to select from the pool pool_size: int The size of the total pool of candidates to sample from rng_state: array of int64, shape (3,) Internal state of the random number generator Returns ------- sample: array of shape(n_samples,) The ``n_samples`` randomly selected elements from the pool. """ result = np.empty(n_samples, dtype=np.int64) for i in range(n_samples): reject_sample = True j = 0 while reject_sample: j = tau_rand_int(rng_state) % pool_size for k in range(i): if j == result[k]: break else: reject_sample = False result[i] = j return result @numba.njit(cache=True) def make_heap(n_points, size): """Constructor for the numba enabled heap objects. The heaps are used for approximate nearest neighbor search, maintaining a list of potential neighbors sorted by their distance. We also flag if potential neighbors are newly added to the list or not. Internally this is stored as a single ndarray; the first axis determines whether we are looking at the array of candidate graph_indices, the array of distances, or the flag array for whether elements are new or not. Each of these arrays are of shape (``n_points``, ``size``) Parameters ---------- n_points: int The number of graph_data points to track in the heap. size: int The number of items to keep on the heap for each graph_data point. Returns ------- heap: An ndarray suitable for passing to other numba enabled heap functions. """ indices = np.full((int(n_points), int(size)), -1, dtype=np.int32) distances = np.full((int(n_points), int(size)), np.inf, dtype=np.float32) flags = np.zeros((int(n_points), int(size)), dtype=np.uint8) result = (indices, distances, flags) return result # Sentinel value for empty/uninitialized graphs EMPTY_GRAPH = make_heap(1, 1) @numba.njit(cache=True) def siftdown(heap1, heap2, elt): """Restore the heap property for a heap with an out of place element at position ``elt``. This works with a heap pair where heap1 carries the weights and heap2 holds the corresponding elements.""" while elt * 2 + 1 < heap1.shape[0]: left_child = elt * 2 + 1 right_child = left_child + 1 swap = elt if heap1[swap] < heap1[left_child]: swap = left_child if right_child < heap1.shape[0] and heap1[swap] < heap1[right_child]: swap = right_child if swap == elt: break else: heap1[elt], heap1[swap] = heap1[swap], heap1[elt] heap2[elt], heap2[swap] = heap2[swap], heap2[elt] elt = swap @numba.njit(parallel=True, cache=False) def deheap_sort(indices, distances): """Given two arrays representing a heap (indices and distances), reorder the arrays by increasing distance. This is effectively just the second half of heap sort (the first half not being required since we already have the graph_data in a heap). Note that this is done in-place. Parameters ---------- indices : array of shape (n_samples, n_neighbors) The graph indices to sort by distance. distances : array of shape (n_samples, n_neighbors) The corresponding edge distance. Returns ------- indices, distances: arrays of shape (n_samples, n_neighbors) The indices and distances sorted by increasing distance. """ for i in numba.prange(indices.shape[0]): # starting from the end of the array and moving back for j in range(indices.shape[1] - 1, 0, -1): indices[i, 0], indices[i, j] = indices[i, j], indices[i, 0] distances[i, 0], distances[i, j] = distances[i, j], distances[i, 0] siftdown(distances[i, :j], indices[i, :j], 0) return indices, distances @numba.njit(parallel=True, locals={"idx": numba.types.int64}, cache=False) def new_build_candidates(current_graph, max_candidates, rng_state, n_threads): """Build a heap of candidate neighbors for nearest neighbor descent. For each vertex the candidate neighbors are any current neighbors, and any vertices that have the vertex as one of their nearest neighbors. Parameters ---------- current_graph: heap The current state of the graph for nearest neighbor descent. max_candidates: int The maximum number of new candidate neighbors. rng_state: array of int64, shape (3,) The internal state of the rng Returns ------- candidate_neighbors: A heap with an array of (randomly sorted) candidate neighbors for each vertex in the graph. """ current_indices = current_graph[0] current_flags = current_graph[2] n_vertices = current_indices.shape[0] n_neighbors = current_indices.shape[1] new_candidate_indices = np.full((n_vertices, max_candidates), -1, dtype=np.int32) new_candidate_priority = np.full( (n_vertices, max_candidates), np.inf, dtype=np.float32 ) old_candidate_indices = np.full((n_vertices, max_candidates), -1, dtype=np.int32) old_candidate_priority = np.full( (n_vertices, max_candidates), np.inf, dtype=np.float32 ) block_size = n_vertices // n_threads + 1 for n in numba.prange(n_threads): local_rng_state = rng_state + n block_start = n * block_size block_end = min(block_start + block_size, n_vertices) for i in range(n_vertices): for j in range(n_neighbors): idx = current_indices[i, j] if idx >= 0 and ( (i >= block_start and i < block_end) or (idx >= block_start and idx < block_end) ): isn = current_flags[i, j] d = tau_rand(local_rng_state) if isn: if i >= block_start and i < block_end: checked_heap_push( new_candidate_priority[i], new_candidate_indices[i], d, idx, ) if idx >= block_start and idx < block_end: checked_heap_push( new_candidate_priority[idx], new_candidate_indices[idx], d, i, ) else: if i >= block_start and i < block_end: checked_heap_push( old_candidate_priority[i], old_candidate_indices[i], d, idx, ) if idx >= block_start and idx < block_end: checked_heap_push( old_candidate_priority[idx], old_candidate_indices[idx], d, i, ) indices = current_graph[0] flags = current_graph[2] for i in numba.prange(n_vertices): for j in range(n_neighbors): idx = indices[i, j] for k in range(max_candidates): if new_candidate_indices[i, k] == idx: flags[i, j] = 0 break return new_candidate_indices, old_candidate_indices @numba.njit("b1(u1[::1],i4)", cache=True) def has_been_visited(table, candidate): loc = candidate >> 3 mask = 1 << (candidate & 7) return table[loc] & mask @numba.njit("void(u1[::1],i4)", cache=True) def mark_visited(table, candidate): loc = candidate >> 3 mask = 1 << (candidate & 7) table[loc] |= mask return @numba.njit("b1(u1[::1],i4)", cache=True) def check_and_mark_visited(table, candidate): """Check if candidate was visited and mark it as visited in one operation. Returns True if the candidate was already visited, False otherwise. More efficient than separate has_been_visited + mark_visited calls. """ loc = candidate >> 3 mask = numba.uint8(1 << (candidate & 7)) was_visited = table[loc] & mask table[loc] |= mask return was_visited @numba.njit( "i4(f4[::1],i4[::1],f4,i4)", fastmath=True, locals={ "size": numba.types.intp, "i": numba.types.uint16, "ic1": numba.types.uint16, "ic2": numba.types.uint16, "i_swap": numba.types.uint16, }, cache=True, ) def simple_heap_push(priorities, indices, p, n): if p >= priorities[0]: return 0 size = priorities.shape[0] # insert val at position zero priorities[0] = p indices[0] = n # descend the heap, swapping values until the max heap criterion is met i = 0 while True: ic1 = 2 * i + 1 ic2 = ic1 + 1 if ic1 >= size: break elif ic2 >= size: if priorities[ic1] > p: i_swap = ic1 else: break elif priorities[ic1] >= priorities[ic2]: if p < priorities[ic1]: i_swap = ic1 else: break else: if p < priorities[ic2]: i_swap = ic2 else: break priorities[i] = priorities[i_swap] indices[i] = indices[i_swap] i = i_swap priorities[i] = p indices[i] = n return 1 @numba.njit( "i4(f4[::1],i4[::1],f4,i4)", fastmath=True, locals={ "size": numba.types.intp, "i": numba.types.uint16, "ic1": numba.types.uint16, "ic2": numba.types.uint16, "i_swap": numba.types.uint16, }, cache=True, ) def checked_heap_push(priorities, indices, p, n): if p >= priorities[0]: return 0 size = priorities.shape[0] # break if we already have this element. for i in range(size): if n == indices[i]: return 0 # insert val at position zero priorities[0] = p indices[0] = n # descend the heap, swapping values until the max heap criterion is met i = 0 while True: ic1 = 2 * i + 1 ic2 = ic1 + 1 if ic1 >= size: break elif ic2 >= size: if priorities[ic1] > p: i_swap = ic1 else: break elif priorities[ic1] >= priorities[ic2]: if p < priorities[ic1]: i_swap = ic1 else: break else: if p < priorities[ic2]: i_swap = ic2 else: break priorities[i] = priorities[i_swap] indices[i] = indices[i_swap] i = i_swap priorities[i] = p indices[i] = n return 1 @numba.njit( "i4(f4[::1],i4[::1],u1[::1],f4,i4,u1)", fastmath=True, locals={ "size": numba.types.intp, "i": numba.types.uint16, "ic1": numba.types.uint16, "ic2": numba.types.uint16, "i_swap": numba.types.uint16, }, cache=True, ) def checked_flagged_heap_push(priorities, indices, flags, p, n, f): if p >= priorities[0]: return 0 size = priorities.shape[0] # break if we already have this element. for i in range(size): if n == indices[i]: return 0 # insert val at position zero priorities[0] = p indices[0] = n flags[0] = f # descend the heap, swapping values until the max heap criterion is met i = 0 while True: ic1 = 2 * i + 1 ic2 = ic1 + 1 if ic1 >= size: break elif ic2 >= size: if priorities[ic1] > p: i_swap = ic1 else: break elif priorities[ic1] >= priorities[ic2]: if p < priorities[ic1]: i_swap = ic1 else: break else: if p < priorities[ic2]: i_swap = ic2 else: break priorities[i] = priorities[i_swap] indices[i] = indices[i_swap] flags[i] = flags[i_swap] i = i_swap priorities[i] = p indices[i] = n flags[i] = f return 1 @numba.njit( parallel=True, locals={ "dist_thresh_p": numba.float32, "dist_thresh_q": numba.float32, "p": numba.int32, "q": numba.int32, "d": numba.float32, "max_updates": numba.int32, "max_threshold": numba.float32, }, cache=False, fastmath=True, ) def generate_graph_update_array( update_array, n_updates_per_thread, new_candidate_block, old_candidate_block, dist_thresholds, data, dist, n_threads, ): """Generate graph updates into a pre-allocated array. This is more efficient than generating lists of tuples because: 1. No dynamic memory allocation during the parallel loop 2. Better cache locality with contiguous array storage 3. Each thread writes to its own section of the array Parameters ---------- update_array : ndarray of shape (n_threads, max_updates_per_thread, 3) Pre-allocated array to store updates. Each row stores (p, q, d). n_updates_per_thread : ndarray of shape (n_threads,) Output array to store the number of updates generated by each thread. new_candidate_block : ndarray of shape (block_size, max_candidates) New candidate indices for this block. old_candidate_block : ndarray of shape (block_size, max_candidates) Old candidate indices for this block. dist_thresholds : ndarray of shape (n_vertices,) Current distance thresholds (max heap distance) for each vertex. data : ndarray of shape (n_vertices, n_features) The data points. dist : callable Distance function. n_threads : int Number of threads to use. """ block_size = new_candidate_block.shape[0] max_new_candidates = new_candidate_block.shape[1] max_old_candidates = old_candidate_block.shape[1] rows_per_thread = (block_size // n_threads) + 1 for t in numba.prange(n_threads): idx = 0 max_updates = update_array.shape[1] for r in range(rows_per_thread): i = t * rows_per_thread + r if i >= block_size or idx >= max_updates: break for j in range(max_new_candidates): if idx >= max_updates: break p = new_candidate_block[i, j] if p < 0: continue data_p = data[p] dist_thresh_p = dist_thresholds[p] # Compare with other new candidates (start at j to match original behavior) for k in range(j, max_new_candidates): if idx >= max_updates: break q = new_candidate_block[i, k] if q < 0: continue d = dist(data_p, data[q]) # Use max for better branch prediction than OR condition dist_thresh_q = dist_thresholds[q] max_threshold = max(dist_thresh_p, dist_thresh_q) if d <= max_threshold: update_array[t, idx, 0] = p update_array[t, idx, 1] = q update_array[t, idx, 2] = d idx += 1 # Compare with old candidates for k in range(max_old_candidates): if idx >= max_updates: break q = old_candidate_block[i, k] if q < 0: continue d = dist(data_p, data[q]) dist_thresh_q = dist_thresholds[q] max_threshold = max(dist_thresh_p, dist_thresh_q) if d <= max_threshold: update_array[t, idx, 0] = p update_array[t, idx, 1] = q update_array[t, idx, 2] = d idx += 1 n_updates_per_thread[t] = idx @numba.njit( parallel=True, cache=True, locals={ "p": numba.int32, "q": numba.int32, "d": numba.float32, "added": numba.uint8, "n": numba.uint32, "t": numba.uint32, "j": numba.uint32, }, ) def apply_graph_update_array( current_graph, update_array, n_updates_per_thread, n_threads ): """Apply graph updates from a pre-allocated array. Uses block-based processing where each thread only updates vertices in its assigned block, avoiding the need for duplicate checking. Parameters ---------- current_graph : tuple of (indices, distances, flags) The current nearest neighbor graph heap. update_array : ndarray of shape (n_threads, max_updates_per_thread, 3) Array of updates where each row is (p, q, d). n_updates_per_thread : ndarray of shape (n_threads,) Number of valid updates from each generating thread. n_threads : int Number of threads. Returns ------- n_changes : int Total number of updates that modified the graph. """ n_changes = 0 priorities = current_graph[1] indices = current_graph[0] flags = current_graph[2] n_vertices = priorities.shape[0] vertex_block_size = n_vertices // n_threads + 1 for n in numba.prange(n_threads): block_start = n * vertex_block_size block_end = min(block_start + vertex_block_size, n_vertices) # Each thread scans all updates but only applies those # where p or q falls in its block for t in range(n_threads): for j in range(n_updates_per_thread[t]): p = np.int32(update_array[t, j, 0]) q = np.int32(update_array[t, j, 1]) d = np.float32(update_array[t, j, 2]) if p >= block_start and p < block_end: added = checked_flagged_heap_push( priorities[p], indices[p], flags[p], d, q, 1 ) n_changes += added if q >= block_start and q < block_end: added = checked_flagged_heap_push( priorities[q], indices[q], flags[q], d, p, 1 ) n_changes += added return n_changes @numba.njit( parallel=True, cache=False, fastmath=True, locals={ "dist_thresh_p": numba.float32, "dist_thresh_q": numba.float32, "p": numba.int32, "q": numba.int32, "d": numba.float32, "max_updates": numba.int32, "max_threshold": numba.float32, }, ) def sparse_generate_graph_update_array( update_array, n_updates_per_thread, new_candidate_block, old_candidate_block, dist_thresholds, inds, indptr, data, dist, n_threads, ): """Generate graph updates for sparse data into a pre-allocated array.""" block_size = new_candidate_block.shape[0] max_new_candidates = new_candidate_block.shape[1] max_old_candidates = old_candidate_block.shape[1] rows_per_thread = (block_size // n_threads) + 1 for t in numba.prange(n_threads): idx = 0 max_updates = update_array.shape[1] for r in range(rows_per_thread): i = t * rows_per_thread + r if i >= block_size or idx >= max_updates: break for j in range(max_new_candidates): if idx >= max_updates: break p = new_candidate_block[i, j] if p < 0: continue from_inds = inds[indptr[p] : indptr[p + 1]] from_data = data[indptr[p] : indptr[p + 1]] dist_thresh_p = dist_thresholds[p] # Compare with other new candidates (start at j to match original) for k in range(j, max_new_candidates): if idx >= max_updates: break q = new_candidate_block[i, k] if q < 0: continue to_inds = inds[indptr[q] : indptr[q + 1]] to_data = data[indptr[q] : indptr[q + 1]] d = dist(from_inds, from_data, to_inds, to_data) dist_thresh_q = dist_thresholds[q] max_threshold = max(dist_thresh_p, dist_thresh_q) if d <= max_threshold: update_array[t, idx, 0] = p update_array[t, idx, 1] = q update_array[t, idx, 2] = d idx += 1 # Compare with old candidates for k in range(max_old_candidates): if idx >= max_updates: break q = old_candidate_block[i, k] if q < 0: continue to_inds = inds[indptr[q] : indptr[q + 1]] to_data = data[indptr[q] : indptr[q + 1]] d = dist(from_inds, from_data, to_inds, to_data) dist_thresh_q = dist_thresholds[q] max_threshold = max(dist_thresh_p, dist_thresh_q) if d <= max_threshold: update_array[t, idx, 0] = p update_array[t, idx, 1] = q update_array[t, idx, 2] = d idx += 1 n_updates_per_thread[t] = idx @numba.njit(cache=False) def initalize_heap_from_graph_indices(heap, graph_indices, data, metric): for i in range(graph_indices.shape[0]): for idx in range(graph_indices.shape[1]): j = graph_indices[i, idx] if j >= 0: d = metric(data[i], data[j]) checked_flagged_heap_push(heap[1][i], heap[0][i], heap[2][i], d, j, 1) return heap @numba.njit(cache=True) def initalize_heap_from_graph_indices_and_distances( heap, graph_indices, graph_distances ): for i in range(graph_indices.shape[0]): for idx in range(graph_indices.shape[1]): j = graph_indices[i, idx] if j >= 0: d = graph_distances[i, idx] checked_flagged_heap_push(heap[1][i], heap[0][i], heap[2][i], d, j, 1) return heap @numba.njit(parallel=True, cache=False) def sparse_initalize_heap_from_graph_indices( heap, graph_indices, data_indptr, data_indices, data_vals, metric ): for i in numba.prange(graph_indices.shape[0]): for idx in range(graph_indices.shape[1]): j = graph_indices[i, idx] ind1 = data_indices[data_indptr[i] : data_indptr[i + 1]] data1 = data_vals[data_indptr[i] : data_indptr[i + 1]] ind2 = data_indices[data_indptr[j] : data_indptr[j + 1]] data2 = data_vals[data_indptr[j] : data_indptr[j + 1]] d = metric(ind1, data1, ind2, data2) checked_flagged_heap_push(heap[1][i], heap[0][i], heap[2][i], d, j, 1) return heap # Generates a timestamp for use in logging messages when verbose=True def ts(): return time.ctime(time.time()) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1767907788.2709637 pynndescent-0.6.0/pynndescent.egg-info/0000755000175100017510000000000015130020714016706 5ustar00vstsvsts././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907788.0 pynndescent-0.6.0/pynndescent.egg-info/PKG-INFO0000644000175100017510000001531715130020714020012 0ustar00vstsvstsMetadata-Version: 2.4 Name: pynndescent Version: 0.6.0 Summary: Nearest Neighbor Descent Author-email: Leland McInnes Maintainer-email: Leland McInnes License-Expression: BSD-2-Clause Project-URL: Homepage, http://github.com/lmcinnes/pynndescent Keywords: nearest,neighbor,knn,ANN Classifier: Development Status :: 3 - Alpha Classifier: Intended Audience :: Science/Research Classifier: Intended Audience :: Developers Classifier: Programming Language :: Python Classifier: Topic :: Software Development Classifier: Topic :: Scientific/Engineering Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: POSIX Classifier: Operating System :: Unix Classifier: Operating System :: MacOS Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Description-Content-Type: text/x-rst License-File: LICENSE Requires-Dist: scikit-learn>=0.18 Requires-Dist: scipy>=1.0 Requires-Dist: numba>=0.55.0 Requires-Dist: llvmlite>=0.38 Requires-Dist: joblib>=0.11 Provides-Extra: testing Requires-Dist: pytest; extra == "testing" Dynamic: license-file .. image:: doc/pynndescent_logo.png :width: 600 :align: center :alt: PyNNDescent Logo .. image:: https://dev.azure.com/TutteInstitute/build-pipelines/_apis/build/status%2Flmcinnes.pynndescent?branchName=master :target: https://dev.azure.com/TutteInstitute/build-pipelines/_build?definitionId=17 :alt: Azure Pipelines Build Status .. image:: https://readthedocs.org/projects/pynndescent/badge/?version=latest :target: https://pynndescent.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status =========== PyNNDescent =========== PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and approximate nearest neighbor search, as per the paper: Dong, Wei, Charikar Moses, and Kai Li. *"Efficient k-nearest neighbor graph construction for generic similarity measures."* Proceedings of the 20th international conference on World wide web. ACM, 2011. This library supplements that approach with the use of random projection trees for initialisation. This can be particularly useful for the metrics that are amenable to such approaches (euclidean, minkowski, angular, cosine, etc.). Graph diversification is also performed, pruning the longest edges of any triangles in the graph. Currently this library targets relatively high accuracy (80%-100% accuracy rate) approximate nearest neighbor searches. -------------------- Why use PyNNDescent? -------------------- PyNNDescent provides fast approximate nearest neighbor queries. The `ann-benchmarks `_ system puts it solidly in the mix of top performing ANN libraries: **SIFT-128 Euclidean** .. image:: https://pynndescent.readthedocs.io/en/latest/_images/sift.png :alt: ANN benchmark performance for SIFT 128 dataset **NYTimes-256 Angular** .. image:: https://pynndescent.readthedocs.io/en/latest/_images/nytimes.png :alt: ANN benchmark performance for NYTimes 256 dataset While PyNNDescent is among fastest ANN library, it is also both easy to install (pip and conda installable) with no platform or compilation issues, and is very flexible, supporting a wide variety of distance metrics by default: **Minkowski style metrics** - euclidean - manhattan - chebyshev - minkowski **Miscellaneous spatial metrics** - canberra - braycurtis - haversine **Normalized spatial metrics** - mahalanobis - wminkowski - seuclidean **Angular and correlation metrics** - cosine - dot - correlation - spearmanr - tsss - true_angular **Probability metrics** - hellinger - wasserstein **Metrics for binary data** - hamming - jaccard - dice - russelrao - kulsinski - rogerstanimoto - sokalmichener - sokalsneath - yule and also custom user defined distance metrics while still retaining performance. PyNNDescent also integrates well with Scikit-learn, including providing support for the KNeighborTransformer as a drop in replacement for algorithms that make use of nearest neighbor computations. ---------------------- How to use PyNNDescent ---------------------- PyNNDescent aims to have a very simple interface. It is similar to (but more limited than) KDTrees and BallTrees in ``sklearn``. In practice there are only two operations -- index construction, and querying an index for nearest neighbors. To build a new search index on some training data ``data`` you can do something like .. code:: python from pynndescent import NNDescent index = NNDescent(data) You can then use the index for searching (and can pickle it to disk if you wish). To search a pynndescent index for the 15 nearest neighbors of a test data set ``query_data`` you can do something like .. code:: python index.query(query_data, k=15) and that is pretty much all there is to it. You can find more details in the `documentation `_. ---------- Installing ---------- PyNNDescent is designed to be easy to install being a pure python module with relatively light requirements: * numpy * scipy * scikit-learn >= 0.22 * numba >= 0.51 all of which should be pip or conda installable. The easiest way to install should be via conda: .. code:: bash conda install -c conda-forge pynndescent or via pip: .. code:: bash pip install pynndescent To manually install this package: .. code:: bash wget https://github.com/lmcinnes/pynndescent/archive/master.zip unzip master.zip rm master.zip cd pynndescent-master python setup.py install ---------------- Help and Support ---------------- This project is still young. The documentation is still growing. In the meantime please `open an issue `_ and I will try to provide any help and guidance that I can. Please also check the docstrings on the code, which provide some descriptions of the parameters. ------- License ------- The pynndescent package is 2-clause BSD licensed. Enjoy. ------------ Contributing ------------ Contributions are more than welcome! There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from code to notebooks to examples and documentation are all *equally valuable* so please don't feel you can't contribute. To contribute please `fork the project `_ make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907788.0 pynndescent-0.6.0/pynndescent.egg-info/SOURCES.txt0000644000175100017510000000164715130020714020602 0ustar00vstsvstsCODE_OF_CONDUCT.md CONTRIBUTING.md LICENSE MANIFEST.in README.rst pyproject.toml requirements.txt setup.py pynndescent/__init__.py pynndescent/distances.py pynndescent/graph_utils.py pynndescent/optimal_transport.py pynndescent/pynndescent_.py pynndescent/rp_trees.py pynndescent/sparse.py pynndescent/sparse_nndescent.py pynndescent/threaded_rp_trees.py pynndescent/utils.py pynndescent.egg-info/PKG-INFO pynndescent.egg-info/SOURCES.txt pynndescent.egg-info/dependency_links.txt pynndescent.egg-info/not-zip-safe pynndescent.egg-info/requires.txt pynndescent.egg-info/top_level.txt pynndescent/tests/__init__.py pynndescent/tests/conftest.py pynndescent/tests/test_distances.py pynndescent/tests/test_hub_trees.py pynndescent/tests/test_pynndescent_.py pynndescent/tests/test_rank.py pynndescent/tests/test_data/cosine_hang.npy pynndescent/tests/test_data/cosine_near_duplicates.npy pynndescent/tests/test_data/pynndescent_bug_np.npz././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907788.0 pynndescent-0.6.0/pynndescent.egg-info/dependency_links.txt0000644000175100017510000000000115130020714022754 0ustar00vstsvsts ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907783.0 pynndescent-0.6.0/pynndescent.egg-info/not-zip-safe0000644000175100017510000000000115130020707021136 0ustar00vstsvsts ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907788.0 pynndescent-0.6.0/pynndescent.egg-info/requires.txt0000644000175100017510000000013215130020714021302 0ustar00vstsvstsscikit-learn>=0.18 scipy>=1.0 numba>=0.55.0 llvmlite>=0.38 joblib>=0.11 [testing] pytest ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907788.0 pynndescent-0.6.0/pynndescent.egg-info/top_level.txt0000644000175100017510000000001415130020714021433 0ustar00vstsvstspynndescent ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907764.0 pynndescent-0.6.0/pyproject.toml0000644000175100017510000000251215130020664015602 0ustar00vstsvsts[build-system] requires = ["setuptools>=61.2"] build-backend = "setuptools.build_meta" [project] name = "pynndescent" version = "0.6.0" authors = [{name = "Leland McInnes", email = "leland.mcinnes@gmail.com"}] maintainers = [{name = "Leland McInnes", email = "leland.mcinnes@gmail.com"}] license = "BSD-2-Clause" description = "Nearest Neighbor Descent" keywords = ["nearest", "neighbor", "knn", "ANN"] readme = "README.rst" classifiers = [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", "Intended Audience :: Developers", "Programming Language :: Python", "Topic :: Software Development", "Topic :: Scientific/Engineering", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Operating System :: MacOS", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", ] urls = {Homepage = "http://github.com/lmcinnes/pynndescent"} dependencies = [ "scikit-learn >= 0.18", "scipy >= 1.0", "numba >= 0.55.0", "llvmlite >= 0.38", "joblib >= 0.11", ] [project.optional-dependencies] testing = ["pytest"] [tool.setuptools] packages = ["pynndescent"] zip-safe = false include-package-data = false ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907764.0 pynndescent-0.6.0/requirements.txt0000644000175100017510000000011615130020664016150 0ustar00vstsvstsjoblib numpy>=1.17 scikit-learn>=0.18 scipy>=1.0 numba>=0.55.0 llvmlite>=0.38 ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1767907788.2719636 pynndescent-0.6.0/setup.cfg0000644000175100017510000000004615130020714014503 0ustar00vstsvsts[egg_info] tag_build = tag_date = 0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1767907764.0 pynndescent-0.6.0/setup.py0000644000175100017510000000027215130020664014401 0ustar00vstsvstsfrom setuptools import setup # All package metadata is now defined in pyproject.toml as per PEP 621. # This setup() call is retained for compatibility or other tooling purposes. setup()

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