diff --git a/.cache/pip/http-v2/1/1/c/a/5/11ca53f6629b39be038f5f3f843243e294312a1cd0bda91c3e78a20b b/.cache/pip/http-v2/1/1/c/a/5/11ca53f6629b39be038f5f3f843243e294312a1cd0bda91c3e78a20b new file mode 100644 index 0000000000000000000000000000000000000000..d50b7198441798e7f9c4d0c0f5ef35076531bc71 Binary files /dev/null and b/.cache/pip/http-v2/1/1/c/a/5/11ca53f6629b39be038f5f3f843243e294312a1cd0bda91c3e78a20b differ diff --git a/.cache/pip/http-v2/1/1/c/a/5/11ca53f6629b39be038f5f3f843243e294312a1cd0bda91c3e78a20b.body b/.cache/pip/http-v2/1/1/c/a/5/11ca53f6629b39be038f5f3f843243e294312a1cd0bda91c3e78a20b.body new file mode 100644 index 0000000000000000000000000000000000000000..102405d833b43b23254d3dc1d5bf061193150280 --- /dev/null +++ b/.cache/pip/http-v2/1/1/c/a/5/11ca53f6629b39be038f5f3f843243e294312a1cd0bda91c3e78a20b.body @@ -0,0 +1,1091 @@ +Metadata-Version: 2.1 +Name: scipy +Version: 1.18.0 +Summary: Fundamental algorithms for scientific computing in Python +Maintainer-Email: SciPy Developers +License: Copyright (c) 2001-2002 Enthought, Inc. 2003, SciPy Developers. + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions + are met: + + 1. 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If your program is a subroutine library, you + may consider it more useful to permit linking proprietary applications with + the library. If this is what you want to do, use the GNU Lesser General + Public License instead of this License. But first, please read + . + + + Name: libquadmath + Files: scipy.libs/libquadmath*.so + Description: dynamically linked to files compiled with gcc + Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libquadmath + License: LGPL-2.1-or-later + + GCC Quad-Precision Math Library + Copyright (C) 2010-2019 Free Software Foundation, Inc. + Written by Francois-Xavier Coudert + + This file is part of the libquadmath library. + Libquadmath is free software; you can redistribute it and/or + modify it under the terms of the GNU Library General Public + License as published by the Free Software Foundation; either + version 2.1 of the License, or (at your option) any later version. + + Libquadmath is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU + Lesser General Public License for more details. + https://www.gnu.org/licenses/old-licenses/lgpl-2.1.html + +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Science/Research +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: BSD License +Classifier: Programming Language :: C +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Topic :: Software Development :: Libraries +Classifier: Topic :: Scientific/Engineering +Classifier: Operating System :: Microsoft :: Windows +Classifier: Operating System :: POSIX :: Linux +Classifier: Operating System :: POSIX +Classifier: Operating System :: Unix +Classifier: Operating System :: MacOS +Project-URL: homepage, https://scipy.org/ +Project-URL: documentation, https://docs.scipy.org/doc/scipy/ +Project-URL: source, https://github.com/scipy/scipy +Project-URL: download, https://github.com/scipy/scipy/releases +Project-URL: tracker, https://github.com/scipy/scipy/issues +Requires-Python: >=3.12 +Requires-Dist: numpy<2.8,>=2.0.0 +Provides-Extra: test +Requires-Dist: pytest>=8.0.0; extra == "test" +Requires-Dist: pytest-cov; extra == "test" +Requires-Dist: pytest-timeout; extra == "test" +Requires-Dist: pytest-xdist; extra == "test" +Requires-Dist: asv; extra == "test" +Requires-Dist: mpmath; extra == "test" +Requires-Dist: gmpy2; extra == "test" +Requires-Dist: threadpoolctl; extra == "test" +Requires-Dist: scikit-umfpack; extra == "test" +Requires-Dist: pooch; extra == "test" +Requires-Dist: hypothesis>=6.30; extra == "test" +Requires-Dist: array-api-strict>=2.3.1; extra == "test" +Requires-Dist: Cython; extra == "test" +Requires-Dist: meson; extra == "test" +Requires-Dist: ninja; sys_platform != "emscripten" and extra == "test" +Requires-Dist: scipy-doctest>=2.0.0; extra == "test" +Provides-Extra: doc +Requires-Dist: sphinx<8.2.0,>=5.0.0; extra == "doc" +Requires-Dist: intersphinx_registry; extra == "doc" +Requires-Dist: pydata-sphinx-theme>=0.15.2; extra == "doc" +Requires-Dist: sphinx-copybutton; extra == "doc" +Requires-Dist: sphinx-design>=0.4.0; extra == "doc" +Requires-Dist: matplotlib>=3.5; extra == "doc" +Requires-Dist: numpydoc; extra == "doc" +Requires-Dist: jupytext; extra == "doc" +Requires-Dist: myst-nb>=1.2.0; extra == "doc" +Requires-Dist: pooch; extra == "doc" +Requires-Dist: jupyterlite-sphinx>=0.19.1; extra == "doc" +Requires-Dist: jupyterlite-pyodide-kernel; extra == "doc" +Requires-Dist: linkify-it-py; extra == "doc" +Requires-Dist: tabulate; extra == "doc" +Provides-Extra: dev +Requires-Dist: click<8.3.0; extra == "dev" +Requires-Dist: spin; extra == "dev" +Requires-Dist: mypy==1.19.1; extra == "dev" +Requires-Dist: pyrefly==0.63.0; extra == "dev" +Requires-Dist: typing_extensions; extra == "dev" +Requires-Dist: types-psutil; extra == "dev" +Requires-Dist: pycodestyle; extra == "dev" +Requires-Dist: ruff>=0.12.0; extra == "dev" +Requires-Dist: cython-lint>=0.12.2; extra == "dev" +Description-Content-Type: text/x-rst + +.. image:: https://raw.githubusercontent.com/scipy/scipy/main/doc/source/_static/logo.svg + :target: https://scipy.org + :width: 110 + :height: 110 + :align: left + +.. image:: https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A + :target: https://numfocus.org + +.. image:: https://img.shields.io/pypi/dm/scipy.svg?label=Pypi%20downloads + :target: https://pypi.org/project/scipy/ + +.. image:: https://img.shields.io/conda/dn/conda-forge/scipy.svg?label=Conda%20downloads + :target: https://anaconda.org/conda-forge/scipy + +.. image:: https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg + :target: https://stackoverflow.com/questions/tagged/scipy + +.. image:: https://img.shields.io/badge/DOI-10.1038%2Fs41592--019--0686--2-blue.svg + :target: https://www.nature.com/articles/s41592-019-0686-2 + +.. image:: https://insights.linuxfoundation.org/api/badge/health-score?project=scipy + :target: https://insights.linuxfoundation.org/project/scipy + +SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, +science, and engineering. It includes modules for statistics, optimization, +integration, linear algebra, Fourier transforms, signal and image processing, +ODE solvers, and more. + +- **Website:** https://scipy.org +- **Documentation:** https://docs.scipy.org/doc/scipy/ +- **Development version of the documentation:** https://scipy.github.io/devdocs +- **SciPy development forum:** https://discuss.scientific-python.org/c/contributor/scipy +- **Stack Overflow:** https://stackoverflow.com/questions/tagged/scipy +- **Source code:** https://github.com/scipy/scipy +- **Contributing:** https://scipy.github.io/devdocs/dev/index.html +- **Bug reports:** https://github.com/scipy/scipy/issues +- **Code of Conduct:** https://docs.scipy.org/doc/scipy/dev/conduct/code_of_conduct.html +- **Report a security vulnerability:** via Tidelift, as explained in + `our docs on Security `__ +- **Citing in your work:** https://www.scipy.org/citing-scipy/ + +SciPy is built to work with +NumPy arrays, and provides many user-friendly and efficient numerical routines, +such as routines for numerical integration and optimization. Together, they +run on all popular operating systems, are quick to install, and are free of +charge. NumPy and SciPy are easy to use, but powerful enough to be depended +upon by some of the world's leading scientists and engineers. If you need to +manipulate numbers on a computer and display or publish the results, give +SciPy a try! + +For the installation instructions, see `our install +guide `__. + + +Call for Contributions +---------------------- + +We appreciate and welcome contributions. Small improvements or fixes are always appreciated; issues labeled as "good +first issue" may be a good starting point. Have a look at `our contributing +guide `__. + +Writing code isn’t the only way to contribute to SciPy. You can also: + +- review pull requests +- triage issues +- develop tutorials, presentations, and other educational materials +- maintain and improve `our website `__ +- develop graphic design for our brand assets and promotional materials +- help with outreach and onboard new contributors +- write grant proposals and help with other fundraising efforts + +If you’re unsure where to start or how your skills fit in, reach out! You can +ask on the `forum `__ +or here, on GitHub, by leaving a comment on a relevant issue that is already +open. + +If you are new to contributing to open source, `this +guide `__ helps explain why, what, +and how to get involved. diff --git a/.cache/pip/http-v2/1/7/9/c/1/179c1c4742bcaf5b6d7af8dc2f14a1b329b9b11f7f5b09e3faa897a1 b/.cache/pip/http-v2/1/7/9/c/1/179c1c4742bcaf5b6d7af8dc2f14a1b329b9b11f7f5b09e3faa897a1 new file mode 100644 index 0000000000000000000000000000000000000000..99c17a3d0f59619999aa5447c91c27fdd4739c3a Binary files /dev/null and b/.cache/pip/http-v2/1/7/9/c/1/179c1c4742bcaf5b6d7af8dc2f14a1b329b9b11f7f5b09e3faa897a1 differ diff --git a/.cache/pip/http-v2/1/7/9/c/1/179c1c4742bcaf5b6d7af8dc2f14a1b329b9b11f7f5b09e3faa897a1.body b/.cache/pip/http-v2/1/7/9/c/1/179c1c4742bcaf5b6d7af8dc2f14a1b329b9b11f7f5b09e3faa897a1.body new file mode 100644 index 0000000000000000000000000000000000000000..a44293ebf5a16eaf971d43f7a1d045206c11aafb --- /dev/null +++ b/.cache/pip/http-v2/1/7/9/c/1/179c1c4742bcaf5b6d7af8dc2f14a1b329b9b11f7f5b09e3faa897a1.body @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:06d8ba9d04558022f5395e9317de03d270f3dced49cee01f89fe7a13c26f14bc +size 264664 diff --git a/.cache/pip/http-v2/1/8/e/c/b/18ecb372789efe49bbe46617b1f5d32a2b0eac245d58cbf930116174 b/.cache/pip/http-v2/1/8/e/c/b/18ecb372789efe49bbe46617b1f5d32a2b0eac245d58cbf930116174 new file mode 100644 index 0000000000000000000000000000000000000000..0e9ea40c2809b22e2d135634d4b42de40824ee0c Binary files /dev/null and b/.cache/pip/http-v2/1/8/e/c/b/18ecb372789efe49bbe46617b1f5d32a2b0eac245d58cbf930116174 differ diff --git a/.cache/pip/http-v2/1/8/e/c/b/18ecb372789efe49bbe46617b1f5d32a2b0eac245d58cbf930116174.body b/.cache/pip/http-v2/1/8/e/c/b/18ecb372789efe49bbe46617b1f5d32a2b0eac245d58cbf930116174.body new file mode 100644 index 0000000000000000000000000000000000000000..ab9ecdddb56b0440b725519d616e086f652a3e14 --- /dev/null +++ b/.cache/pip/http-v2/1/8/e/c/b/18ecb372789efe49bbe46617b1f5d32a2b0eac245d58cbf930116174.body @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2 +size 250910 diff --git a/.cache/pip/http-v2/1/e/b/f/d/1ebfddf16e338050f3c69ee3fb0551055792844fc428979435d11f85 b/.cache/pip/http-v2/1/e/b/f/d/1ebfddf16e338050f3c69ee3fb0551055792844fc428979435d11f85 new file mode 100644 index 0000000000000000000000000000000000000000..cd2873af2fc6882571a48755b3be8e98632f3e10 Binary files /dev/null and b/.cache/pip/http-v2/1/e/b/f/d/1ebfddf16e338050f3c69ee3fb0551055792844fc428979435d11f85 differ diff --git a/.cache/pip/http-v2/1/e/b/f/d/1ebfddf16e338050f3c69ee3fb0551055792844fc428979435d11f85.body b/.cache/pip/http-v2/1/e/b/f/d/1ebfddf16e338050f3c69ee3fb0551055792844fc428979435d11f85.body new file mode 100644 index 0000000000000000000000000000000000000000..e118320098b2fb23afffb4f96e803999c9358f63 --- /dev/null +++ b/.cache/pip/http-v2/1/e/b/f/d/1ebfddf16e338050f3c69ee3fb0551055792844fc428979435d11f85.body @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f55797419e16e7f30cf88ffb3113ce0467f00cfe3f70d5c281730b21769bfc2 +size 35287115 diff --git a/.cache/pip/http-v2/2/6/9/6/f/2696f961349c363ba6eaa61f1f16df2705938f26ba64023adb039e90 b/.cache/pip/http-v2/2/6/9/6/f/2696f961349c363ba6eaa61f1f16df2705938f26ba64023adb039e90 new file mode 100644 index 0000000000000000000000000000000000000000..8e4d22688976239e392ce5a6ef8027e23a74ceda Binary files /dev/null and b/.cache/pip/http-v2/2/6/9/6/f/2696f961349c363ba6eaa61f1f16df2705938f26ba64023adb039e90 differ diff --git a/.cache/pip/http-v2/2/b/d/2/a/2bd2afb46be8ef29cc0dd505de4aff907384c53895a0fbbce798558e.body b/.cache/pip/http-v2/2/b/d/2/a/2bd2afb46be8ef29cc0dd505de4aff907384c53895a0fbbce798558e.body new file mode 100644 index 0000000000000000000000000000000000000000..32e070a845a5de591e75644f306e51dce55266d1 --- /dev/null +++ b/.cache/pip/http-v2/2/b/d/2/a/2bd2afb46be8ef29cc0dd505de4aff907384c53895a0fbbce798558e.body @@ -0,0 +1,354 @@ +Metadata-Version: 2.4 +Name: optuna +Version: 4.9.0 +Summary: A hyperparameter optimization framework +Author: Takuya Akiba +Project-URL: homepage, https://optuna.org/ +Project-URL: repository, https://github.com/optuna/optuna +Project-URL: documentation, https://optuna.readthedocs.io +Project-URL: bugtracker, https://github.com/optuna/optuna/issues +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Science/Research +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: MIT License +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Topic :: Scientific/Engineering +Classifier: Topic :: Scientific/Engineering :: Mathematics +Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence +Classifier: Topic :: Software Development +Classifier: Topic :: Software Development :: Libraries +Classifier: Topic :: Software Development :: Libraries :: Python Modules +Requires-Python: >=3.9 +Description-Content-Type: text/markdown +License-File: LICENSE +License-File: LICENSE_THIRD_PARTY +Requires-Dist: alembic>=1.5.0 +Requires-Dist: colorlog +Requires-Dist: numpy +Requires-Dist: packaging>=20.0 +Requires-Dist: sqlalchemy>=1.4.2 +Requires-Dist: tqdm +Requires-Dist: PyYAML +Provides-Extra: document +Requires-Dist: ase; extra == "document" +Requires-Dist: cmaes>=0.12.0; extra == "document" +Requires-Dist: fvcore; extra == "document" +Requires-Dist: kaleido!=0.2.1.post1,<0.4; extra == "document" +Requires-Dist: lightgbm; extra == "document" +Requires-Dist: matplotlib!=3.6.0; extra == "document" +Requires-Dist: pandas; extra == "document" +Requires-Dist: pillow; extra == "document" +Requires-Dist: plotly>=4.9.0; extra == "document" +Requires-Dist: scikit-learn; extra == "document" +Requires-Dist: sphinx; extra == "document" +Requires-Dist: sphinx-copybutton; extra == "document" +Requires-Dist: sphinx-gallery; extra == "document" +Requires-Dist: sphinx-notfound-page; extra == "document" +Requires-Dist: sphinx_rtd_theme>=1.2.0; extra == "document" +Requires-Dist: torch; extra == "document" +Requires-Dist: torchvision; extra == "document" +Provides-Extra: optional +Requires-Dist: boto3; extra == "optional" +Requires-Dist: cmaes>=0.12.0; extra == "optional" +Requires-Dist: google-cloud-storage; extra == "optional" +Requires-Dist: matplotlib!=3.6.0; extra == "optional" +Requires-Dist: pandas; extra == "optional" +Requires-Dist: plotly>=4.9.0; extra == "optional" +Requires-Dist: redis; extra == "optional" +Requires-Dist: scikit-learn>=0.24.2; extra == "optional" +Requires-Dist: scipy; extra == "optional" +Requires-Dist: torch; extra == "optional" +Requires-Dist: greenlet; extra == "optional" +Requires-Dist: grpcio; extra == "optional" +Requires-Dist: protobuf>=5.28.1; extra == "optional" +Dynamic: license-file + +
+ +# Optuna: A hyperparameter optimization framework + +[![Python](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12%20%7C%203.13%20%7C%203.14-blue)](https://www.python.org) +[![pypi](https://img.shields.io/pypi/v/optuna.svg)](https://pypi.python.org/pypi/optuna) +[![conda](https://img.shields.io/conda/vn/conda-forge/optuna.svg)](https://anaconda.org/conda-forge/optuna) +[![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/optuna/optuna) +[![Read the Docs](https://readthedocs.org/projects/optuna/badge/?version=stable)](https://optuna.readthedocs.io/en/stable/) + +:link: [**Website**](https://optuna.org/) +| :page_with_curl: [**Docs**](https://optuna.readthedocs.io/en/stable/) +| :gear: [**Install Guide**](https://optuna.readthedocs.io/en/stable/installation.html) +| :pencil: [**Tutorial**](https://optuna.readthedocs.io/en/stable/tutorial/index.html) +| :bulb: [**Examples**](https://github.com/optuna/optuna-examples) +| [**Twitter**](https://twitter.com/OptunaAutoML) +| [**LinkedIn**](https://www.linkedin.com/showcase/optuna/) +| [**Medium**](https://medium.com/optuna) + +*Optuna* is an automatic hyperparameter optimization software framework, particularly designed +for machine learning. It features an imperative, *define-by-run* style user API. Thanks to our +*define-by-run* API, the code written with Optuna enjoys high modularity, and the user of +Optuna can dynamically construct the search spaces for the hyperparameters. + +## :loudspeaker: News + + +* **Mar 16, 2026**: Optuna 4.8.0 is out! Check out [the release note](https://github.com/optuna/optuna/releases/tag/v4.8.0) for details. +* **Jan 19, 2026**: Optuna 4.7.0 is out! Check out [the release note](https://github.com/optuna/optuna/releases/tag/v4.7.0) for details. +* **Nov 10, 2025**: A new article [Announcing Optuna 4.6](https://medium.com/optuna/announcing-optuna-4-6-a9e82183ab07) has been published. +* **Oct 28, 2025**: A new article [AutoSampler: Full Support for Multi-Objective & Constrained Optimization](https://medium.com/optuna/autosampler-full-support-for-multi-objective-constrained-optimization-c1c4fc957ba2) has been published. +* **Sep 22, 2025**: A new article [[Optuna v4.5] Gaussian Process-Based Sampler (GPSampler) Can Now Perform Constrained Multi-Objective Optimization](https://medium.com/optuna/optuna-v4-5-81e78d8e077a) has been published. +* **Jun 16, 2025**: Optuna 4.4.0 has been released! Check out [the release blog](https://medium.com/optuna/announcing-optuna-4-4-ece661493126). + +## :fire: Key Features + +Optuna has modern functionalities as follows: + +- [Lightweight, versatile, and platform agnostic architecture](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/001_first.html) + - Handle a wide variety of tasks with a simple installation that has few requirements. +- [Pythonic search spaces](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/002_configurations.html) + - Define search spaces using familiar Python syntax including conditionals and loops. +- [Efficient optimization algorithms](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/003_efficient_optimization_algorithms.html) + - Adopt state-of-the-art algorithms for sampling hyperparameters and efficiently pruning unpromising trials. +- [Easy parallelization](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/004_distributed.html) + - Scale studies to tens or hundreds of workers with little or no changes to the code. +- [Quick visualization](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/005_visualization.html) + - Inspect optimization histories from a variety of plotting functions. + + +## Basic Concepts + +We use the terms *study* and *trial* as follows: + +- Study: optimization based on an objective function +- Trial: a single execution of the objective function + +Please refer to the sample code below. The goal of a *study* is to find out the optimal set of +hyperparameter values (e.g., `regressor` and `svr_c`) through multiple *trials* (e.g., +`n_trials=100`). Optuna is a framework designed for automation and acceleration of +optimization *studies*. + +
+Sample code with scikit-learn + +[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/optuna/optuna-examples/blob/main/quickstart.ipynb) + +```python +import optuna +import sklearn + + +# Define an objective function to be minimized. +def objective(trial): + + # Invoke suggest methods of a Trial object to generate hyperparameters. + regressor_name = trial.suggest_categorical("regressor", ["SVR", "RandomForest"]) + if regressor_name == "SVR": + svr_c = trial.suggest_float("svr_c", 1e-10, 1e10, log=True) + regressor_obj = sklearn.svm.SVR(C=svr_c) + else: + rf_max_depth = trial.suggest_int("rf_max_depth", 2, 32) + regressor_obj = sklearn.ensemble.RandomForestRegressor(max_depth=rf_max_depth) + + X, y = sklearn.datasets.fetch_california_housing(return_X_y=True) + X_train, X_val, y_train, y_val = sklearn.model_selection.train_test_split(X, y, random_state=0) + + regressor_obj.fit(X_train, y_train) + y_pred = regressor_obj.predict(X_val) + + error = sklearn.metrics.mean_squared_error(y_val, y_pred) + + return error # An objective value linked with the Trial object. + + +study = optuna.create_study() # Create a new study. +study.optimize(objective, n_trials=100) # Invoke optimization of the objective function. +``` +
+ +> [!NOTE] +> More examples can be found in [optuna/optuna-examples](https://github.com/optuna/optuna-examples). +> +> The examples cover diverse problem setups such as multi-objective optimization, constrained optimization, pruning, and distributed optimization. + +## Installation + +Optuna is available at [the Python Package Index](https://pypi.org/project/optuna/) and on [Anaconda Cloud](https://anaconda.org/conda-forge/optuna). + +```bash +# PyPI +$ pip install optuna +``` + +```bash +# Anaconda Cloud +$ conda install -c conda-forge optuna +``` + +> [!IMPORTANT] +> Optuna supports Python 3.9 or newer. + +## Integrations + +Optuna has integration features with various third-party libraries. Integrations can be found in [optuna/optuna-integration](https://github.com/optuna/optuna-integration) and the document is available [here](https://optuna-integration.readthedocs.io/en/stable/index.html). + +
+Supported integration libraries + +* [Catboost](https://github.com/optuna/optuna-examples/tree/main/catboost/catboost_pruning.py) +* [Dask](https://github.com/optuna/optuna-examples/tree/main/dask/dask_simple.py) +* [fastai](https://github.com/optuna/optuna-examples/tree/main/fastai/fastai_simple.py) +* [Keras](https://github.com/optuna/optuna-examples/tree/main/keras/keras_integration.py) +* [LightGBM](https://github.com/optuna/optuna-examples/tree/main/lightgbm/lightgbm_integration.py) +* [PyTorch](https://github.com/optuna/optuna-examples/tree/main/pytorch/pytorch_simple.py) +* [PyTorch Ignite](https://github.com/optuna/optuna-examples/tree/main/pytorch/pytorch_ignite_simple.py) +* [PyTorch Lightning](https://github.com/optuna/optuna-examples/tree/main/pytorch/pytorch_lightning_simple.py) +* [TensorFlow](https://github.com/optuna/optuna-examples/tree/main/tensorflow/tensorflow_estimator_integration.py) +* [tf.keras](https://github.com/optuna/optuna-examples/tree/main/tfkeras/tfkeras_integration.py) +* [XGBoost](https://github.com/optuna/optuna-examples/tree/main/xgboost/xgboost_integration.py) +
+ +## Web Dashboard + +[Optuna Dashboard](https://github.com/optuna/optuna-dashboard) is a real-time web dashboard for Optuna. +You can check the optimization history, hyperparameter importance, etc. in graphs and tables. +You don't need to create a Python script to call [Optuna's visualization](https://optuna.readthedocs.io/en/stable/reference/visualization/index.html) functions. +Feature requests and bug reports are welcome! + +![optuna-dashboard](https://user-images.githubusercontent.com/5564044/204975098-95c2cb8c-0fb5-4388-abc4-da32f56cb4e5.gif) + +`optuna-dashboard` can be installed via pip: + +```shell +$ pip install optuna-dashboard +``` + +> [!TIP] +> Please check out the convenience of Optuna Dashboard using the sample code below. + +
+Sample code to launch Optuna Dashboard + +Save the following code as `optimize_toy.py`. + +```python +import optuna + + +def objective(trial): + x1 = trial.suggest_float("x1", -100, 100) + x2 = trial.suggest_float("x2", -100, 100) + return x1**2 + 0.01 * x2**2 + + +study = optuna.create_study(storage="sqlite:///db.sqlite3") # Create a new study with database. +study.optimize(objective, n_trials=100) +``` + +Then try the commands below: + +```shell +# Run the study specified above +$ python optimize_toy.py + +# Launch the dashboard based on the storage `sqlite:///db.sqlite3` +$ optuna-dashboard sqlite:///db.sqlite3 +... +Listening on http://localhost:8080/ +Hit Ctrl-C to quit. +``` + +
+ + +## OptunaHub + +[OptunaHub](https://hub.optuna.org/) is a feature-sharing platform for Optuna. +You can use the registered features and publish your packages. + +### Use registered features + +`optunahub` can be installed via pip: + +```shell +$ pip install optunahub +# Install AutoSampler dependencies (CPU only is sufficient for PyTorch) +$ pip install cmaes scipy torch --extra-index-url https://download.pytorch.org/whl/cpu +``` + +You can load registered module with `optunahub.load_module`. + +```python +import optuna +import optunahub + + +def objective(trial: optuna.Trial) -> float: + x = trial.suggest_float("x", -5, 5) + y = trial.suggest_float("y", -5, 5) + return x**2 + y**2 + + +module = optunahub.load_module(package="samplers/auto_sampler") +study = optuna.create_study(sampler=module.AutoSampler()) +study.optimize(objective, n_trials=10) + +print(study.best_trial.value, study.best_trial.params) +``` + +For more details, please refer to [the optunahub documentation](https://optuna.github.io/optunahub/). + +### Publish your packages + +You can publish your package via [optunahub-registry](https://github.com/optuna/optunahub-registry). +See the [Tutorials for Contributors](https://optuna.github.io/optunahub/tutorials_for_contributors.html) in OptunaHub. + + +## Communication + +- [GitHub Discussions] for questions. +- [GitHub Issues] for bug reports and feature requests. + +[GitHub Discussions]: https://github.com/optuna/optuna/discussions +[GitHub issues]: https://github.com/optuna/optuna/issues + + +## Contribution + +Any contributions to Optuna are more than welcome! + +If you are new to Optuna, please check the [good first issues](https://github.com/optuna/optuna/labels/good%20first%20issue). They are relatively simple, well-defined, and often good starting points for you to get familiar with the contribution workflow and other developers. + +If you already have contributed to Optuna, we recommend the other [contribution-welcome issues](https://github.com/optuna/optuna/labels/contribution-welcome). + +For general guidelines on how to contribute to the project, take a look at [CONTRIBUTING.md](./CONTRIBUTING.md). + + +## Reference + +If you use Optuna in one of your research projects, please cite [our KDD paper](https://doi.org/10.1145/3292500.3330701) "Optuna: A Next-generation Hyperparameter Optimization Framework": + +
+BibTeX + +```bibtex +@inproceedings{akiba2019optuna, + title={{O}ptuna: A Next-Generation Hyperparameter Optimization Framework}, + author={Akiba, Takuya and Sano, Shotaro and Yanase, Toshihiko and Ohta, Takeru and Koyama, Masanori}, + booktitle={The 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining}, + pages={2623--2631}, + year={2019} +} +``` +
+ + +## License + +MIT License (see [LICENSE](./LICENSE)). + +Optuna uses the codes from SciPy and fdlibm projects (see [LICENSE_THIRD_PARTY](./LICENSE_THIRD_PARTY)). diff --git a/.cache/pip/http-v2/3/3/2/7/a/3327a46f678846be6cb46f3352e6fba668d9664c70a79484c770e358.body b/.cache/pip/http-v2/3/3/2/7/a/3327a46f678846be6cb46f3352e6fba668d9664c70a79484c770e358.body new file mode 100644 index 0000000000000000000000000000000000000000..018d07445b8710539c6a02b3baacc3f7dd4f584e --- /dev/null +++ b/.cache/pip/http-v2/3/3/2/7/a/3327a46f678846be6cb46f3352e6fba668d9664c70a79484c770e358.body @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6f9f66136c816745b9d65817da91d61d957fb16e02e4dcd0552553c5a197b76 +size 119243 diff --git a/.cache/pip/http-v2/3/5/a/0/6/35a0615e0411edd59492c90e8f5cd0a1a0554d6f7d1dec5be2b30560 b/.cache/pip/http-v2/3/5/a/0/6/35a0615e0411edd59492c90e8f5cd0a1a0554d6f7d1dec5be2b30560 new file mode 100644 index 0000000000000000000000000000000000000000..aa21c27b0a09012d16ed33f31900559b6c504ec8 Binary files /dev/null and b/.cache/pip/http-v2/3/5/a/0/6/35a0615e0411edd59492c90e8f5cd0a1a0554d6f7d1dec5be2b30560 differ diff --git a/.cache/pip/http-v2/3/5/a/0/6/35a0615e0411edd59492c90e8f5cd0a1a0554d6f7d1dec5be2b30560.body b/.cache/pip/http-v2/3/5/a/0/6/35a0615e0411edd59492c90e8f5cd0a1a0554d6f7d1dec5be2b30560.body new file mode 100644 index 0000000000000000000000000000000000000000..0001288923d890fe7b4a0bb56a8f747eb43f8a92 --- /dev/null +++ b/.cache/pip/http-v2/3/5/a/0/6/35a0615e0411edd59492c90e8f5cd0a1a0554d6f7d1dec5be2b30560.body @@ -0,0 +1,97 @@ +Metadata-Version: 2.4 +Name: kiwisolver +Version: 1.5.0 +Summary: A fast implementation of the Cassowary constraint solver +Author-email: The Nucleic Development Team +Maintainer-email: "Matthieu C. Dartiailh" +License: ========================= + The Kiwi licensing terms + ========================= + Kiwi is licensed under the terms of the Modified BSD License (also known as + New or Revised BSD), as follows: + + Copyright (c) 2013-2026, Nucleic Development Team + + 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. + + Neither the name of the Nucleic Development Team nor the names of its + contributors may be used to endorse or promote products derived from this + software without specific prior written permission. + + 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 OWNER 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. + + About Kiwi + ---------- + Chris Colbert began the Kiwi project in December 2013 in an effort to + create a blisteringly fast UI constraint solver. Chris is still the + project lead. + + The Nucleic Development Team is the set of all contributors to the Nucleic + project and its subprojects. + + The core team that coordinates development on GitHub can be found here: + http://github.com/nucleic. The current team consists of: + + * Chris Colbert + + Our Copyright Policy + -------------------- + Nucleic uses a shared copyright model. Each contributor maintains copyright + over their contributions to Nucleic. But, it is important to note that these + contributions are typically only changes to the repositories. Thus, the Nucleic + source code, in its entirety is not the copyright of any single person or + institution. Instead, it is the collective copyright of the entire Nucleic + Development Team. If individual contributors want to maintain a record of what + changes/contributions they have specific copyright on, they should indicate + their copyright in the commit message of the change, when they commit the + change to one of the Nucleic repositories. + + With this in mind, the following banner should be used in any source code file + to indicate the copyright and license terms: + + #------------------------------------------------------------------------------ + # Copyright (c) 2013-2026, Nucleic Development Team. + # + # Distributed under the terms of the Modified BSD License. + # + # The full license is in the file LICENSE, distributed with this software. + #------------------------------------------------------------------------------ + +Project-URL: homepage, https://github.com/nucleic/kiwi +Project-URL: documentation, https://kiwisolver.readthedocs.io/en/latest/ +Project-URL: repository, https://github.com/nucleic/kiwi +Project-URL: changelog, https://github.com/nucleic/kiwi/blob/main/releasenotes.rst +Classifier: License :: OSI Approved :: BSD License +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Programming Language :: Python :: Implementation :: GraalPy +Requires-Python: >=3.10 +Description-Content-Type: text/x-rst +License-File: LICENSE +Dynamic: license-file diff --git a/.cache/pip/http-v2/3/8/6/0/e/3860e4de9ae53c79d2fd61419e9049df314ccc8b640782c02c6e2e2d.body b/.cache/pip/http-v2/3/8/6/0/e/3860e4de9ae53c79d2fd61419e9049df314ccc8b640782c02c6e2e2d.body new file mode 100644 index 0000000000000000000000000000000000000000..b08af91f42453032c75ba259968296a2cae84a03 Binary files /dev/null and b/.cache/pip/http-v2/3/8/6/0/e/3860e4de9ae53c79d2fd61419e9049df314ccc8b640782c02c6e2e2d.body differ diff --git a/.cache/pip/http-v2/3/9/b/0/3/39b032291f3825af700bccccb41d7507c739ba2f89c5bbbc5b7b490d b/.cache/pip/http-v2/3/9/b/0/3/39b032291f3825af700bccccb41d7507c739ba2f89c5bbbc5b7b490d new file mode 100644 index 0000000000000000000000000000000000000000..835d0ac98d04ee1abb9649c7b926c9982b3d4cc7 Binary files /dev/null and b/.cache/pip/http-v2/3/9/b/0/3/39b032291f3825af700bccccb41d7507c739ba2f89c5bbbc5b7b490d differ diff --git a/.cache/pip/http-v2/4/7/a/1/f/47a1fcfcda9889c5e9fc07f976129358dec689ce97437905232762a1 b/.cache/pip/http-v2/4/7/a/1/f/47a1fcfcda9889c5e9fc07f976129358dec689ce97437905232762a1 new file mode 100644 index 0000000000000000000000000000000000000000..b10589f2e7d27463db496f0d3618878e1221cc63 Binary files /dev/null and b/.cache/pip/http-v2/4/7/a/1/f/47a1fcfcda9889c5e9fc07f976129358dec689ce97437905232762a1 differ diff --git a/.cache/pip/http-v2/4/a/5/b/6/4a5b6f0d76201de4cfd4884f5e95617a1848cf81c8357be4d12cbf6a.body b/.cache/pip/http-v2/4/a/5/b/6/4a5b6f0d76201de4cfd4884f5e95617a1848cf81c8357be4d12cbf6a.body new file mode 100644 index 0000000000000000000000000000000000000000..bac5c461eec53105b93996ac609f1a8b3025bcdb --- /dev/null +++ b/.cache/pip/http-v2/4/a/5/b/6/4a5b6f0d76201de4cfd4884f5e95617a1848cf81c8357be4d12cbf6a.body @@ -0,0 +1,86 @@ +Metadata-Version: 2.1 +Name: openpyxl +Version: 3.1.5 +Summary: A Python library to read/write Excel 2010 xlsx/xlsm files +Home-page: https://openpyxl.readthedocs.io +Author: See AUTHORS +Author-email: charlie.clark@clark-consulting.eu +License: MIT +Project-URL: Documentation, https://openpyxl.readthedocs.io/en/stable/ +Project-URL: Source, https://foss.heptapod.net/openpyxl/openpyxl +Project-URL: Tracker, https://foss.heptapod.net/openpyxl/openpyxl/-/issues +Classifier: Development Status :: 5 - 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Language :: Python :: 3.14 +Classifier: Programming Language :: Python :: 3.15 +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +License-File: AUTHORS.txt +License-File: LICENSE.txt +License-File: src/pip/_vendor/cachecontrol/LICENSE.txt +License-File: src/pip/_vendor/certifi/LICENSE +License-File: src/pip/_vendor/distlib/LICENSE.txt +License-File: src/pip/_vendor/distro/LICENSE +License-File: src/pip/_vendor/idna/LICENSE.md +License-File: src/pip/_vendor/msgpack/COPYING +License-File: src/pip/_vendor/packaging/LICENSE +License-File: src/pip/_vendor/packaging/LICENSE.APACHE +License-File: src/pip/_vendor/packaging/LICENSE.BSD +License-File: src/pip/_vendor/pkg_resources/LICENSE +License-File: src/pip/_vendor/platformdirs/LICENSE +License-File: src/pip/_vendor/pygments/LICENSE +License-File: src/pip/_vendor/pyproject_hooks/LICENSE +License-File: src/pip/_vendor/requests/LICENSE +License-File: src/pip/_vendor/resolvelib/LICENSE +License-File: src/pip/_vendor/rich/LICENSE +License-File: src/pip/_vendor/tomli/LICENSE +License-File: src/pip/_vendor/tomli_w/LICENSE +License-File: src/pip/_vendor/truststore/LICENSE +License-File: src/pip/_vendor/urllib3/LICENSE.txt +Project-URL: Changelog, https://pip.pypa.io/en/stable/news/ +Project-URL: Documentation, https://pip.pypa.io +Project-URL: Homepage, https://pip.pypa.io/ +Project-URL: Source, https://github.com/pypa/pip + +pip - The Python Package Installer +================================== + +.. |pypi-version| image:: https://img.shields.io/pypi/v/pip.svg + :target: https://pypi.org/project/pip/ + :alt: PyPI + +.. |python-versions| image:: https://img.shields.io/pypi/pyversions/pip + :target: https://pypi.org/project/pip + :alt: PyPI - Python Version + +.. |docs-badge| image:: https://readthedocs.org/projects/pip/badge/?version=latest + :target: https://pip.pypa.io/en/latest + :alt: Documentation + +|pypi-version| |python-versions| |docs-badge| + +Pip is the `package installer`_ for Python. You can use pip to install packages from the `Python Package Index`_ and other indexes. + +Please take a look at our documentation for how to install and use pip: + +* `Installation`_ +* `Usage`_ + +We release updates regularly, with a new version every 3 months. Find more details in our documentation: + +* `Release notes`_ +* `Release process`_ + +If you find bugs, need help, or want to talk to the developers, please use our mailing lists or chat rooms: + +* `Issue tracking`_ +* `Discourse channel`_ +* `User IRC`_ + +If you want to get involved, head over to GitHub to get the source code, look at our development documentation and feel free to jump on the developer mailing lists and chat rooms: + +* `GitHub page`_ +* `Development documentation`_ +* `Development IRC`_ + +Code of Conduct +--------------- + +Everyone interacting in the pip project's codebases, issue trackers, chat +rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_. + +.. _package installer: https://packaging.python.org/guides/tool-recommendations/ +.. _Python Package Index: https://pypi.org +.. _Installation: https://pip.pypa.io/en/stable/installation/ +.. _Usage: https://pip.pypa.io/en/stable/ +.. _Release notes: https://pip.pypa.io/en/stable/news.html +.. _Release process: https://pip.pypa.io/en/latest/development/release-process/ +.. _GitHub page: https://github.com/pypa/pip +.. _Development documentation: https://pip.pypa.io/en/latest/development +.. _Issue tracking: https://github.com/pypa/pip/issues +.. _Discourse channel: https://discuss.python.org/c/packaging +.. _User IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa +.. _Development IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa-dev +.. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md + diff --git a/.cache/pip/http-v2/8/a/c/4/d/8ac4d14dc45e27d21da49fb515570b6f875b78707de9b08ce1088d1b b/.cache/pip/http-v2/8/a/c/4/d/8ac4d14dc45e27d21da49fb515570b6f875b78707de9b08ce1088d1b new file mode 100644 index 0000000000000000000000000000000000000000..2982b2fcdafcbe78a3f08cd959b8199e6a7d313b Binary files /dev/null and b/.cache/pip/http-v2/8/a/c/4/d/8ac4d14dc45e27d21da49fb515570b6f875b78707de9b08ce1088d1b differ diff --git a/.cache/pip/http-v2/8/a/c/4/d/8ac4d14dc45e27d21da49fb515570b6f875b78707de9b08ce1088d1b.body b/.cache/pip/http-v2/8/a/c/4/d/8ac4d14dc45e27d21da49fb515570b6f875b78707de9b08ce1088d1b.body new file mode 100644 index 0000000000000000000000000000000000000000..fdd25c1196f6bcdb658f7b668003a9389563961d Binary files /dev/null and b/.cache/pip/http-v2/8/a/c/4/d/8ac4d14dc45e27d21da49fb515570b6f875b78707de9b08ce1088d1b.body differ diff --git a/.cache/pip/http-v2/8/e/c/0/1/8ec01c6c0d8da8090ee14b669ee42a1879d3dc488903f676b506ef69 b/.cache/pip/http-v2/8/e/c/0/1/8ec01c6c0d8da8090ee14b669ee42a1879d3dc488903f676b506ef69 new file mode 100644 index 0000000000000000000000000000000000000000..41badea6e18a3ed25535239fac893a36377960d0 Binary files /dev/null and b/.cache/pip/http-v2/8/e/c/0/1/8ec01c6c0d8da8090ee14b669ee42a1879d3dc488903f676b506ef69 differ diff --git a/.cache/pip/http-v2/8/e/c/0/1/8ec01c6c0d8da8090ee14b669ee42a1879d3dc488903f676b506ef69.body b/.cache/pip/http-v2/8/e/c/0/1/8ec01c6c0d8da8090ee14b669ee42a1879d3dc488903f676b506ef69.body new file mode 100644 index 0000000000000000000000000000000000000000..b597debe5644e674d0c2685fdbbfa447981ba714 --- /dev/null +++ b/.cache/pip/http-v2/8/e/c/0/1/8ec01c6c0d8da8090ee14b669ee42a1879d3dc488903f676b506ef69.body @@ -0,0 +1,87 @@ +Metadata-Version: 2.4 +Name: hf-xet +Version: 1.5.2 +Classifier: Development Status :: 5 - Production/Stable +Classifier: License :: OSI Approved :: Apache Software License +Classifier: Programming Language :: Rust +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Programming Language :: Python :: Free Threading +Classifier: Programming Language :: Python :: Free Threading :: 2 - Beta +Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence +Requires-Dist: pytest ; extra == 'tests' +Provides-Extra: tests +License-File: LICENSE +Summary: Fast transfer of large files with the Hugging Face Hub. +Maintainer-email: Rajat Arya , Jared Sulzdorf , Di Xiao , Assaf Vayner , Hoyt Koepke +License-Expression: Apache-2.0 +Requires-Python: >=3.8 +Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM +Project-URL: Documentation, https://huggingface.co/docs/hub/xet/index +Project-URL: Homepage, https://github.com/huggingface/xet-core +Project-URL: Issues, https://github.com/huggingface/xet-core/issues +Project-URL: Repository, https://github.com/huggingface/xet-core.git + + +

+ License + GitHub release + Contributor Covenant +

+ +

+

🤗 hf-xet - xet client tech, used in huggingface_hub

+

+ +## Welcome + +`hf-xet` enables `huggingface_hub` to utilize xet storage for uploading and downloading to HF Hub. Xet storage provides chunk-based deduplication, efficient storage/retrieval with local disk caching, and backwards compatibility with Git LFS. This library is not meant to be used directly, and is instead intended to be used from [huggingface_hub](https://pypi.org/project/huggingface-hub). + +## Key features + +♻ **chunk-based deduplication implementation**: avoid transferring and storing chunks that are shared across binary files (models, datasets, etc). + +🤗 **Python bindings**: bindings for [huggingface_hub](https://github.com/huggingface/huggingface_hub/) package. + +↔ **network communications**: concurrent communication to HF Hub Xet backend services (CAS). + +🔖 **local disk caching**: chunk-based cache that sits alongside the existing [huggingface_hub disk cache](https://huggingface.co/docs/huggingface_hub/guides/manage-cache). + +## Installation + +Install the `hf_xet` package with [pip](https://pypi.org/project/hf-xet/): + +```bash +pip install hf_xet +``` + +## Quick Start + +`hf_xet` is not intended to be run independently as it is expected to be used from `huggingface_hub`, so to get started with `huggingface_hub` check out the documentation [here]("https://hf.co/docs/huggingface_hub"). + +## Contributions (feature requests, bugs, etc.) are encouraged & appreciated 💙💚💛💜🧡❤️ + +Please join us in making hf-xet better. 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+Requires-Dist: safetensors[torch] ; extra == 'all' +Requires-Dist: safetensors[numpy] ; extra == 'all' +Requires-Dist: safetensors[jax] ; extra == 'all' +Requires-Dist: safetensors[paddlepaddle] ; extra == 'all' +Requires-Dist: safetensors[convert] ; extra == 'all' +Requires-Dist: safetensors[quality] ; extra == 'all' +Requires-Dist: safetensors[testing] ; extra == 'all' +Requires-Dist: safetensors[torch] ; extra == 'convert' +Requires-Dist: huggingface-hub>=1.4 ; extra == 'convert' +Requires-Dist: safetensors[all] ; extra == 'dev' +Requires-Dist: safetensors[pinned-tf] ; extra == 'dev' +Requires-Dist: safetensors[numpy] ; extra == 'jax' +Requires-Dist: flax>=0.6.3 ; extra == 'jax' +Requires-Dist: jax>=0.3.25 ; extra == 'jax' +Requires-Dist: jaxlib>=0.3.25 ; extra == 'jax' +Requires-Dist: mlx>=0.0.9 ; extra == 'mlx' +Requires-Dist: numpy>=1.24.6 ; extra == 'numpy' +Requires-Dist: safetensors[numpy] ; extra == 'paddlepaddle' +Requires-Dist: paddlepaddle>=2.4.1 ; extra == 'paddlepaddle' +Requires-Dist: safetensors[numpy] ; extra == 'pinned-tf' +Requires-Dist: tensorflow==2.18.0 ; extra == 'pinned-tf' +Requires-Dist: ruff ; extra == 'quality' +Requires-Dist: safetensors[numpy] ; extra == 'tensorflow' +Requires-Dist: tensorflow>=2.11.0 ; extra == 'tensorflow' +Requires-Dist: safetensors[numpy] ; extra == 'testing' +Requires-Dist: h5py>=3.7.0 ; extra == 'testing' +Requires-Dist: setuptools-rust>=1.12.0 ; extra == 'testing' +Requires-Dist: pytest>=9.0 ; extra == 'testing' +Requires-Dist: pytest-benchmark>=5.2 ; extra == 'testing' +Requires-Dist: hypothesis>=6.70.2 ; extra == 'testing' +Requires-Dist: fsspec>=2024.6.0 ; extra == 'testing' +Requires-Dist: s3fs>=2024.6.0 ; extra == 'testing' +Requires-Dist: safetensors[numpy] ; extra == 'tf-nightly' +Requires-Dist: tf-nightly ; extra == 'tf-nightly' +Requires-Dist: safetensors[numpy] ; extra == 'torch' +Requires-Dist: torch>=2.4 ; extra == 'torch' +Provides-Extra: all +Provides-Extra: convert +Provides-Extra: dev +Provides-Extra: jax +Provides-Extra: mlx +Provides-Extra: numpy +Provides-Extra: paddlepaddle +Provides-Extra: pinned-tf +Provides-Extra: quality +Provides-Extra: tensorflow +Provides-Extra: testing +Provides-Extra: tf-nightly +Provides-Extra: torch +License-File: LICENSE +Author-email: Nicolas Patry , Luc Georges , Daniël De Kok +Requires-Python: >=3.10 +Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM +Project-URL: Homepage, https://github.com/huggingface/safetensors +Project-URL: Source, https://github.com/huggingface/safetensors + +## Installation + +``` +pip install safetensors +``` + + +## Usage + +### Numpy + +```python +from safetensors.numpy import save_file, load_file +import numpy as np + +tensors = { + "a": np.zeros((2, 2)), + "b": np.zeros((2, 3), dtype=np.uint8) +} + +save_file(tensors, "./model.safetensors") + + +# Now loading +loaded = load_file("./model.safetensors") +``` + +### Torch + +```python +from safetensors.torch import save_file, load_file +import torch + +tensors = { + "a": torch.zeros((2, 2)), + "b": torch.zeros((2, 3), dtype=torch.uint8) +} + +save_file(tensors, "./model.safetensors") + + +# Now loading +loaded = load_file("./model.safetensors") +``` + +### Developing + +``` +# inside ./safetensors/bindings/python +pip install .[dev] +``` +Should be enough to install this library locally. + +### Testing + +``` +# inside ./safetensors/bindings/python +pip install .[dev] +pytest -sv tests/ +``` + diff --git a/.cache/pip/http-v2/a/7/5/2/1/a75219176a67dac7a6f9c94e46a37f76fe1d9894924f4dd192ee6ac1 b/.cache/pip/http-v2/a/7/5/2/1/a75219176a67dac7a6f9c94e46a37f76fe1d9894924f4dd192ee6ac1 new file mode 100644 index 0000000000000000000000000000000000000000..1eb08a51ca208c2b39f75eba0b9cb8f73df4bcf1 Binary files /dev/null and b/.cache/pip/http-v2/a/7/5/2/1/a75219176a67dac7a6f9c94e46a37f76fe1d9894924f4dd192ee6ac1 differ diff --git a/.cache/pip/http-v2/a/7/5/2/1/a75219176a67dac7a6f9c94e46a37f76fe1d9894924f4dd192ee6ac1.body 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Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Topic :: Database :: Front-Ends +Requires-Python: >=3.7 +Description-Content-Type: text/x-rst +License-File: LICENSE +Requires-Dist: importlib-metadata; python_version < "3.8" +Requires-Dist: greenlet>=1; platform_machine == "aarch64" or (platform_machine == "ppc64le" or (platform_machine == "x86_64" or (platform_machine == "amd64" or (platform_machine == "AMD64" or (platform_machine == "win32" or platform_machine == "WIN32"))))) +Requires-Dist: typing-extensions>=4.6.0 +Provides-Extra: asyncio +Requires-Dist: greenlet>=1; extra == "asyncio" +Provides-Extra: mypy 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"postgresql-asyncpg" +Requires-Dist: asyncpg; extra == "postgresql-asyncpg" +Provides-Extra: postgresql-psycopg2binary +Requires-Dist: psycopg2-binary; extra == "postgresql-psycopg2binary" +Provides-Extra: postgresql-psycopg2cffi +Requires-Dist: psycopg2cffi; extra == "postgresql-psycopg2cffi" +Provides-Extra: postgresql-psycopg +Requires-Dist: psycopg>=3.0.7; extra == "postgresql-psycopg" +Provides-Extra: postgresql-psycopgbinary +Requires-Dist: psycopg[binary]>=3.0.7; extra == "postgresql-psycopgbinary" +Provides-Extra: pymysql +Requires-Dist: pymysql; extra == "pymysql" +Provides-Extra: aiomysql +Requires-Dist: greenlet>=1; extra == "aiomysql" +Requires-Dist: aiomysql>=0.2.0; extra == "aiomysql" +Provides-Extra: aioodbc +Requires-Dist: greenlet>=1; extra == "aioodbc" +Requires-Dist: aioodbc; extra == "aioodbc" +Provides-Extra: asyncmy +Requires-Dist: greenlet>=1; extra == "asyncmy" +Requires-Dist: asyncmy!=0.2.4,!=0.2.6,>=0.2.3; extra == "asyncmy" +Provides-Extra: aiosqlite +Requires-Dist: greenlet>=1; extra == "aiosqlite" +Requires-Dist: aiosqlite; extra == "aiosqlite" +Requires-Dist: typing_extensions!=3.10.0.1; extra == "aiosqlite" +Provides-Extra: sqlcipher +Requires-Dist: sqlcipher3_binary; extra == "sqlcipher" +Dynamic: license-file + +SQLAlchemy +========== + +|PyPI| |Python| |Downloads| + +.. |PyPI| image:: https://img.shields.io/pypi/v/sqlalchemy + :target: https://pypi.org/project/sqlalchemy + :alt: PyPI + +.. |Python| image:: https://img.shields.io/pypi/pyversions/sqlalchemy + :target: https://pypi.org/project/sqlalchemy + :alt: PyPI - Python Version + +.. |Downloads| image:: https://static.pepy.tech/badge/sqlalchemy/month + :target: https://pepy.tech/project/sqlalchemy + :alt: PyPI - Downloads + + +The Python SQL Toolkit and Object Relational Mapper + +Introduction +------------- + +SQLAlchemy is the Python SQL toolkit and Object Relational Mapper +that gives application developers the full power and +flexibility of SQL. SQLAlchemy provides a full suite +of well known enterprise-level persistence patterns, +designed for efficient and high-performing database +access, adapted into a simple and Pythonic domain +language. + +Major SQLAlchemy features include: + +* An industrial strength ORM, built + from the core on the identity map, unit of work, + and data mapper patterns. These patterns + allow transparent persistence of objects + using a declarative configuration system. + Domain models + can be constructed and manipulated naturally, + and changes are synchronized with the + current transaction automatically. +* A relationally-oriented query system, exposing + the full range of SQL's capabilities + explicitly, including joins, subqueries, + correlation, and most everything else, + in terms of the object model. + Writing queries with the ORM uses the same + techniques of relational composition you use + when writing SQL. While you can drop into + literal SQL at any time, it's virtually never + needed. +* A comprehensive and flexible system + of eager loading for related collections and objects. + Collections are cached within a session, + and can be loaded on individual access, all + at once using joins, or by query per collection + across the full result set. +* A Core SQL construction system and DBAPI + interaction layer. The SQLAlchemy Core is + separate from the ORM and is a full database + abstraction layer in its own right, and includes + an extensible Python-based SQL expression + language, schema metadata, connection pooling, + type coercion, and custom types. +* All primary and foreign key constraints are + assumed to be composite and natural. Surrogate + integer primary keys are of course still the + norm, but SQLAlchemy never assumes or hardcodes + to this model. +* Database introspection and generation. Database + schemas can be "reflected" in one step into + Python structures representing database metadata; + those same structures can then generate + CREATE statements right back out - all within + the Core, independent of the ORM. + +SQLAlchemy's philosophy: + +* SQL databases behave less and less like object + collections the more size and performance start to + matter; object collections behave less and less like + tables and rows the more abstraction starts to matter. + SQLAlchemy aims to accommodate both of these + principles. +* An ORM doesn't need to hide the "R". A relational + database provides rich, set-based functionality + that should be fully exposed. SQLAlchemy's + ORM provides an open-ended set of patterns + that allow a developer to construct a custom + mediation layer between a domain model and + a relational schema, turning the so-called + "object relational impedance" issue into + a distant memory. +* The developer, in all cases, makes all decisions + regarding the design, structure, and naming conventions + of both the object model as well as the relational + schema. SQLAlchemy only provides the means + to automate the execution of these decisions. +* With SQLAlchemy, there's no such thing as + "the ORM generated a bad query" - you + retain full control over the structure of + queries, including how joins are organized, + how subqueries and correlation is used, what + columns are requested. Everything SQLAlchemy + does is ultimately the result of a developer-initiated + decision. +* Don't use an ORM if the problem doesn't need one. + SQLAlchemy consists of a Core and separate ORM + component. The Core offers a full SQL expression + language that allows Pythonic construction + of SQL constructs that render directly to SQL + strings for a target database, returning + result sets that are essentially enhanced DBAPI + cursors. +* Transactions should be the norm. With SQLAlchemy's + ORM, nothing goes to permanent storage until + commit() is called. SQLAlchemy encourages applications + to create a consistent means of delineating + the start and end of a series of operations. +* Never render a literal value in a SQL statement. + Bound parameters are used to the greatest degree + possible, allowing query optimizers to cache + query plans effectively and making SQL injection + attacks a non-issue. + +Documentation +------------- + +Latest documentation is at: + +https://www.sqlalchemy.org/docs/ + +Installation / Requirements +--------------------------- + +Full documentation for installation is at +`Installation `_. + +Getting Help / Development / Bug reporting +------------------------------------------ + +Please refer to the `SQLAlchemy Community Guide `_. + +Code of Conduct +--------------- + +Above all, SQLAlchemy places great emphasis on polite, thoughtful, and +constructive communication between users and developers. +Please see our current Code of Conduct at +`Code of Conduct `_. + +License +------- + +SQLAlchemy is distributed under the `MIT license +`_. + diff --git a/.cache/pip/http-v2/a/a/0/d/7/aa0d704d97a2f85d8db67bd1a027229056e18fcc8fef4bddcbbb3312 b/.cache/pip/http-v2/a/a/0/d/7/aa0d704d97a2f85d8db67bd1a027229056e18fcc8fef4bddcbbb3312 new file mode 100644 index 0000000000000000000000000000000000000000..9de7472b098240fbb4d0aa48559a6287e497aeb5 Binary files /dev/null and b/.cache/pip/http-v2/a/a/0/d/7/aa0d704d97a2f85d8db67bd1a027229056e18fcc8fef4bddcbbb3312 differ diff --git a/.cache/pip/http-v2/a/a/0/d/7/aa0d704d97a2f85d8db67bd1a027229056e18fcc8fef4bddcbbb3312.body b/.cache/pip/http-v2/a/a/0/d/7/aa0d704d97a2f85d8db67bd1a027229056e18fcc8fef4bddcbbb3312.body new file mode 100644 index 0000000000000000000000000000000000000000..f28f6ab2d4188247873f0b08a960d862273571bb --- /dev/null +++ b/.cache/pip/http-v2/a/a/0/d/7/aa0d704d97a2f85d8db67bd1a027229056e18fcc8fef4bddcbbb3312.body @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d21ce524ab86c23046e992a5b81cb54c21079c6df6e78b8fc77d77cac70a6b9 +size 3358470 diff --git a/.cache/pip/http-v2/a/b/e/2/c/abe2c30c0d105321771461cb84423576f0ec11c835b815e82e629cf7 b/.cache/pip/http-v2/a/b/e/2/c/abe2c30c0d105321771461cb84423576f0ec11c835b815e82e629cf7 new file mode 100644 index 0000000000000000000000000000000000000000..de4a202900c25691c79c40bff0bff44d563df2e4 Binary files /dev/null and b/.cache/pip/http-v2/a/b/e/2/c/abe2c30c0d105321771461cb84423576f0ec11c835b815e82e629cf7 differ diff --git a/.cache/pip/http-v2/a/b/e/2/c/abe2c30c0d105321771461cb84423576f0ec11c835b815e82e629cf7.body b/.cache/pip/http-v2/a/b/e/2/c/abe2c30c0d105321771461cb84423576f0ec11c835b815e82e629cf7.body new file mode 100644 index 0000000000000000000000000000000000000000..0c77779d7f8c424ebc2d3c8957893ded45a818e9 --- /dev/null +++ b/.cache/pip/http-v2/a/b/e/2/c/abe2c30c0d105321771461cb84423576f0ec11c835b815e82e629cf7.body @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ba8f811b8ddfac493734d6af0b2dff96919d0c28ca0d641858dab4262777c6ea +size 10035615 diff --git a/.cache/pip/http-v2/a/e/4/8/8/ae4884f4e44d4c15bfaa33b2606c0a1b5feb08371396279181f324c8 b/.cache/pip/http-v2/a/e/4/8/8/ae4884f4e44d4c15bfaa33b2606c0a1b5feb08371396279181f324c8 new file mode 100644 index 0000000000000000000000000000000000000000..68529f2f10cea6683def90a45d9aea5e814554cc Binary files /dev/null and b/.cache/pip/http-v2/a/e/4/8/8/ae4884f4e44d4c15bfaa33b2606c0a1b5feb08371396279181f324c8 differ diff --git a/.cache/pip/http-v2/a/e/4/8/8/ae4884f4e44d4c15bfaa33b2606c0a1b5feb08371396279181f324c8.body b/.cache/pip/http-v2/a/e/4/8/8/ae4884f4e44d4c15bfaa33b2606c0a1b5feb08371396279181f324c8.body new file mode 100644 index 0000000000000000000000000000000000000000..f636230b648b5a6c312fb7c3cf5703305e823624 --- /dev/null +++ b/.cache/pip/http-v2/a/e/4/8/8/ae4884f4e44d4c15bfaa33b2606c0a1b5feb08371396279181f324c8.body @@ -0,0 +1,99 @@ +Metadata-Version: 2.4 +Name: greenlet +Version: 3.5.4 +Summary: Lightweight in-process concurrent programming +Author-email: Alexey Borzenkov +Maintainer-email: Jason Madden +License-Expression: MIT AND PSF-2.0 +Project-URL: Homepage, https://greenlet.readthedocs.io +Project-URL: Documentation, https://greenlet.readthedocs.io +Project-URL: Repository, https://github.com/python-greenlet/greenlet +Project-URL: Issues, https://github.com/python-greenlet/greenlet/issues +Project-URL: Changelog, https://greenlet.readthedocs.io/en/latest/changes.html +Keywords: greenlet,coroutine,concurrency,threads,cooperative +Classifier: Development Status :: 5 - 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This file is included into docs/history.rst + + +Greenlets are lightweight coroutines for in-process concurrent +programming. + +The "greenlet" package is a spin-off of `Stackless`_, a version of +CPython that supports micro-threads called "tasklets". Tasklets run +pseudo-concurrently (typically in a single or a few OS-level threads) +and are synchronized with data exchanges on "channels". + +A "greenlet", on the other hand, is a still more primitive notion of +micro-thread with no implicit scheduling; coroutines, in other words. +This is useful when you want to control exactly when your code runs. +You can build custom scheduled micro-threads on top of greenlet; +however, it seems that greenlets are useful on their own as a way to +make advanced control flow structures. For example, we can recreate +generators; the difference with Python's own generators is that our +generators can call nested functions and the nested functions can +yield values too. (Additionally, you don't need a "yield" keyword. See +the example in `test_generator.py +`_). + +Greenlets are provided as a C extension module for the regular unmodified +interpreter. + +.. _`Stackless`: http://www.stackless.com + + +Who is using Greenlet? +====================== + +There are several libraries that use Greenlet as a more flexible +alternative to Python's built in coroutine support: + + - `Concurrence`_ + - `Eventlet`_ + - `Gevent`_ + +.. _Concurrence: http://opensource.hyves.org/concurrence/ +.. _Eventlet: http://eventlet.net/ +.. _Gevent: http://www.gevent.org/ + +Getting Greenlet +================ + +The easiest way to get Greenlet is to install it with pip:: + + pip install greenlet + + +Source code archives and binary distributions are available on the +python package index at https://pypi.org/project/greenlet + +The source code repository is hosted on github: +https://github.com/python-greenlet/greenlet + +Documentation is available on readthedocs.org: +https://greenlet.readthedocs.io diff --git a/.cache/pip/http-v2/a/f/5/3/d/af53d10b2a0401eb083b4e24ccf3518cc83ed2a451d87928b17de49a b/.cache/pip/http-v2/a/f/5/3/d/af53d10b2a0401eb083b4e24ccf3518cc83ed2a451d87928b17de49a new file mode 100644 index 0000000000000000000000000000000000000000..ce6b81cffede5a883646ad95a9a82e9ca05818f9 Binary files /dev/null and b/.cache/pip/http-v2/a/f/5/3/d/af53d10b2a0401eb083b4e24ccf3518cc83ed2a451d87928b17de49a differ diff --git a/.cache/pip/http-v2/a/f/5/3/d/af53d10b2a0401eb083b4e24ccf3518cc83ed2a451d87928b17de49a.body b/.cache/pip/http-v2/a/f/5/3/d/af53d10b2a0401eb083b4e24ccf3518cc83ed2a451d87928b17de49a.body new file mode 100644 index 0000000000000000000000000000000000000000..c3d4a170d762f718b0babe6b9cbb2e5b060ab9cd Binary files /dev/null and b/.cache/pip/http-v2/a/f/5/3/d/af53d10b2a0401eb083b4e24ccf3518cc83ed2a451d87928b17de49a.body differ diff --git a/.cache/pip/http-v2/b/9/9/a/d/b99ad330dfd2e9e0337861ace33d07fca2ddfd480ba4473963ebc23d.body b/.cache/pip/http-v2/b/9/9/a/d/b99ad330dfd2e9e0337861ace33d07fca2ddfd480ba4473963ebc23d.body new file mode 100644 index 0000000000000000000000000000000000000000..323b2edaf7d2e0641530e974b2e0685bc13e13fb --- /dev/null +++ b/.cache/pip/http-v2/b/9/9/a/d/b99ad330dfd2e9e0337861ace33d07fca2ddfd480ba4473963ebc23d.body @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d373ce03ffd84010ed9839fa73672a9c8256990532e158440c0085db7d914b34 +size 10998091 diff --git a/.cache/pip/http-v2/c/1/6/c/6/c16c6c635e568e65136b95a15ea17f91b43799aeb0a7e80b55d7a898.body b/.cache/pip/http-v2/c/1/6/c/6/c16c6c635e568e65136b95a15ea17f91b43799aeb0a7e80b55d7a898.body new file mode 100644 index 0000000000000000000000000000000000000000..e67f091bc81a82e593d04b2685e6af55cc0eb3ea --- /dev/null +++ b/.cache/pip/http-v2/c/1/6/c/6/c16c6c635e568e65136b95a15ea17f91b43799aeb0a7e80b55d7a898.body @@ -0,0 +1,1366 @@ +Metadata-Version: 2.1 +Name: matplotlib +Version: 3.11.1 +Summary: Python plotting package +Author: John D. Hunter, Michael Droettboom +Author-Email: Unknown +License: License agreement for matplotlib versions 1.3.0 and later + ========================================================= + + 1. This LICENSE AGREEMENT is between the Matplotlib Development Team + ("MDT"), and the Individual or Organization ("Licensee") accessing and + otherwise using matplotlib software in source or binary form and its + associated documentation. + + 2. Subject to the terms and conditions of this License Agreement, MDT + hereby grants Licensee a nonexclusive, royalty-free, world-wide license + to reproduce, analyze, test, perform and/or display publicly, prepare + derivative works, distribute, and otherwise use matplotlib + alone or in any derivative version, provided, however, that MDT's + License Agreement and MDT's notice of copyright, i.e., "Copyright (c) + 2012- Matplotlib Development Team; All Rights Reserved" are retained in + matplotlib alone or in any derivative version prepared by + Licensee. + + 3. 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Name for this Font Software. + "cmex9" is a Reserved Font Name for this Font Software. + "cmff10" is a Reserved Font Name for this Font Software. + "cmfi10" is a Reserved Font Name for this Font Software. + "cmfib8" is a Reserved Font Name for this Font Software. + "cminch" is a Reserved Font Name for this Font Software. + "cmitt10" is a Reserved Font Name for this Font Software. + "cmmi10" is a Reserved Font Name for this Font Software. + "cmmi12" is a Reserved Font Name for this Font Software. + "cmmi5" is a Reserved Font Name for this Font Software. + "cmmi6" is a Reserved Font Name for this Font Software. + "cmmi7" is a Reserved Font Name for this Font Software. + "cmmi8" is a Reserved Font Name for this Font Software. + "cmmi9" is a Reserved Font Name for this Font Software. + "cmmib10" is a Reserved Font Name for this Font Software. + "cmmib5" is a Reserved Font Name for this Font Software. + "cmmib6" is a Reserved Font Name for this Font Software. + "cmmib7" is a Reserved Font Name for this Font Software. + "cmmib8" is a Reserved Font Name for this Font Software. + "cmmib9" is a Reserved Font Name for this Font Software. + "cmr10" is a Reserved Font Name for this Font Software. + "cmr12" is a Reserved Font Name for this Font Software. + "cmr17" is a Reserved Font Name for this Font Software. + "cmr5" is a Reserved Font Name for this Font Software. + "cmr6" is a Reserved Font Name for this Font Software. + "cmr7" is a Reserved Font Name for this Font Software. + "cmr8" is a Reserved Font Name for this Font Software. + "cmr9" is a Reserved Font Name for this Font Software. + "cmsl10" is a Reserved Font Name for this Font Software. + "cmsl12" is a Reserved Font Name for this Font Software. + "cmsl8" is a Reserved Font Name for this Font Software. + "cmsl9" is a Reserved Font Name for this Font Software. + "cmsltt10" is a Reserved Font Name for this Font Software. + "cmss10" is a Reserved Font Name for this Font Software. + "cmss12" is a Reserved Font Name for this Font Software. + "cmss17" is a Reserved Font Name for this Font Software. + "cmss8" is a Reserved Font Name for this Font Software. + "cmss9" is a Reserved Font Name for this Font Software. + "cmssbx10" is a Reserved Font Name for this Font Software. + "cmssdc10" is a Reserved Font Name for this Font Software. + "cmssi10" is a Reserved Font Name for this Font Software. + "cmssi12" is a Reserved Font Name for this Font Software. + "cmssi17" is a Reserved Font Name for this Font Software. + "cmssi8" is a Reserved Font Name for this Font Software. + "cmssi9" is a Reserved Font Name for this Font Software. + "cmssq8" is a Reserved Font Name for this Font Software. + "cmssqi8" is a Reserved Font Name for this Font Software. + "cmsy10" is a Reserved Font Name for this Font Software. + "cmsy5" is a Reserved Font Name for this Font Software. + "cmsy6" is a Reserved Font Name for this Font Software. + "cmsy7" is a Reserved Font Name for this Font Software. + "cmsy8" is a Reserved Font Name for this Font Software. + "cmsy9" is a Reserved Font Name for this Font Software. + "cmtcsc10" is a Reserved Font Name for this Font Software. + "cmtex10" is a Reserved Font Name for this Font Software. + "cmtex8" is a Reserved Font Name for this Font Software. + "cmtex9" is a Reserved Font Name for this Font Software. + "cmti10" is a Reserved Font Name for this Font Software. + "cmti12" is a Reserved Font Name for this Font Software. + "cmti7" is a Reserved Font Name for this Font Software. + "cmti8" is a Reserved Font Name for this Font Software. + "cmti9" is a Reserved Font Name for this Font Software. + "cmtt10" is a Reserved Font Name for this Font Software. + "cmtt12" is a Reserved Font Name for this Font Software. + "cmtt8" is a Reserved Font Name for this Font Software. + "cmtt9" is a Reserved Font Name for this Font Software. + "cmu10" is a Reserved Font Name for this Font Software. + "cmvtt10" is a Reserved Font Name for this Font Software. + "euex10" is a Reserved Font Name for this Font Software. + "euex7" is a Reserved Font Name for this Font Software. + "euex8" is a Reserved Font Name for this Font Software. + "euex9" is a Reserved Font Name for this Font Software. + "eufb10" is a Reserved Font Name for this Font Software. + "eufb5" is a Reserved Font Name for this Font Software. + "eufb7" is a Reserved Font Name for this Font Software. + "eufm10" is a Reserved Font Name for this Font Software. + "eufm5" is a Reserved Font Name for this Font Software. + "eufm7" is a Reserved Font Name for this Font Software. + "eurb10" is a Reserved Font Name for this Font Software. + "eurb5" is a Reserved Font Name for this Font Software. + "eurb7" is a Reserved Font Name for this Font Software. + "eurm10" is a Reserved Font Name for this Font Software. + "eurm5" is a Reserved Font Name for this Font Software. + "eurm7" is a Reserved Font Name for this Font Software. + "eusb10" is a Reserved Font Name for this Font Software. + "eusb5" is a Reserved Font Name for this 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this Font Software. + "linew10" is a Reserved Font Name for this Font Software. + "msam10" is a Reserved Font Name for this Font Software. + "msam5" is a Reserved Font Name for this Font Software. + "msam6" is a Reserved Font Name for this Font Software. + "msam7" is a Reserved Font Name for this Font Software. + "msam8" is a Reserved Font Name for this Font Software. + "msam9" is a Reserved Font Name for this Font Software. + "msbm10" is a Reserved Font Name for this Font Software. + "msbm5" is a Reserved Font Name for this Font Software. + "msbm6" is a Reserved Font Name for this Font Software. + "msbm7" is a Reserved Font Name for this Font Software. + "msbm8" is a Reserved Font Name for this Font Software. + "msbm9" is a Reserved Font Name for this Font Software. + "wncyb10" is a Reserved Font Name for this Font Software. + "wncyi10" is a Reserved Font Name for this Font Software. + "wncyr10" is a Reserved Font Name for this Font Software. + "wncysc10" is a Reserved Font Name for this Font Software. + "wncyss10" is a Reserved Font Name for this Font Software. + + This Font Software is licensed under the SIL Open Font License, Version 1.1. + This license is copied below, and is also available with a FAQ at: + http://scripts.sil.org/OFL + + ----------------------------------------------------------- + SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 + ----------------------------------------------------------- + + PREAMBLE + The goals of the Open Font License (OFL) are to stimulate worldwide + development of collaborative font projects, to support the font creation + efforts of academic and linguistic communities, and to provide a free and + open framework in which fonts may be shared and improved in partnership + with others. + + The OFL allows the licensed fonts to be used, studied, modified and + redistributed freely as long as they are not sold by themselves. The + fonts, including any derivative works, can be bundled, embedded, + redistributed and/or sold with any software provided that any reserved + names are not used by derivative works. The fonts and derivatives, + however, cannot be released under any other type of license. The + requirement for fonts to remain under this license does not apply + to any document created using the fonts or their derivatives. + + DEFINITIONS + "Font Software" refers to the set of files released by the Copyright + Holder(s) under this license and clearly marked as such. This may + include source files, build scripts and documentation. + + "Reserved Font Name" refers to any names specified as such after the + copyright statement(s). + + "Original Version" refers to the collection of Font Software components as + distributed by the Copyright Holder(s). + + "Modified Version" refers to any derivative made by adding to, deleting, + or substituting -- in part or in whole -- any of the components of the + Original Version, by changing formats or by porting the Font Software to a + new environment. + + "Author" refers to any designer, engineer, programmer, technical + writer or other person who contributed to the Font Software. + + PERMISSION & CONDITIONS + Permission is hereby granted, free of charge, to any person obtaining + a copy of the Font Software, to use, study, copy, merge, embed, modify, + redistribute, and sell modified and unmodified copies of the Font + Software, subject to the following conditions: + + 1) Neither the Font Software nor any of its individual components, + in Original or Modified Versions, may be sold by itself. + + 2) Original or Modified Versions of the Font Software may be bundled, + redistributed and/or sold with any software, provided that each copy + contains the above copyright notice and this license. These can be + included either as stand-alone text files, human-readable headers or + in the appropriate machine-readable metadata fields within text or + binary files as long as those fields can be easily viewed by the user. + + 3) No Modified Version of the Font Software may use the Reserved Font + Name(s) unless explicit written permission is granted by the corresponding + Copyright Holder. This restriction only applies to the primary font name as + presented to the users. + + 4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font + Software shall not be used to promote, endorse or advertise any + Modified Version, except to acknowledge the contribution(s) of the + Copyright Holder(s) and the Author(s) or with their explicit written + permission. + + 5) The Font Software, modified or unmodified, in part or in whole, + must be distributed entirely under this license, and must not be + distributed under any other license. The requirement for fonts to + remain under this license does not apply to any document created + using the Font Software. + + TERMINATION + This license becomes null and void if any of the above conditions are + not met. + + DISCLAIMER + THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT + OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE + COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, + INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL + DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING + FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM + OTHER DEALINGS IN THE FONT SOFTWARE. + + + + Name: BaKoMa Fonts + Files: matplotlib/mpl-data/fonts/ttf/cm*.ttf matplotlib/mpl-data/fonts/afm/cm*.afm + Description: Computer Modern Fonts in PostScript Type 1 and TrueType font formats. + License: BaKoMa Fonts Licence + BaKoMa Fonts Licence + -------------------- + + This licence covers two font packs (known as BaKoMa Fonts Collection, + which is available at `CTAN:fonts/cm/ps-type1/bakoma/'): + + 1) BaKoMa-CM (1.1/12-Nov-94) + Computer Modern Fonts in PostScript Type 1 and TrueType font formats. + + 2) BaKoMa-AMS (1.2/19-Jan-95) + AMS TeX fonts in PostScript Type 1 and TrueType font formats. + + Copyright (C) 1994, 1995, Basil K. Malyshev. All Rights Reserved. + + Permission to copy and distribute these fonts for any purpose is + hereby granted without fee, provided that the above copyright notice, + author statement and this permission notice appear in all copies of + these fonts and related documentation. + + Permission to modify and distribute modified fonts for any purpose is + hereby granted without fee, provided that the copyright notice, + author statement, this permission notice and location of original + fonts (http://www.ctan.org/tex-archive/fonts/cm/ps-type1/bakoma) + appear in all copies of modified fonts and related documentation. + + Permission to use these fonts (embedding into PostScript, PDF, SVG + and printing by using any software) is hereby granted without fee. + It is not required to provide any notices about using these fonts. + + Basil K. Malyshev + INSTITUTE FOR HIGH ENERGY PHYSICS + IHEP, OMVT + Moscow Region + 142281 PROTVINO + RUSSIA + + E-Mail: bakoma@mail.ru + or malyshev@mail.ihep.ru + + + + + Name: ColorBrewer Color Schemes + Files: lib/matplotlib/_cm.py + Description: Color schemes from ColorBrewer + License: Apache-2.0 + Apache-Style Software License for ColorBrewer software and ColorBrewer Color Schemes + + Copyright (c) 2002 Cynthia Brewer, Mark Harrower, and The Pennsylvania State University. + + Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software distributed + under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR + CONDITIONS OF ANY KIND, either express or implied. See the License for the + specific language governing permissions and limitations under the License. + + + Name: Courier 10 + Files: matplotlib/tests/Courier10PitchBT-Bold.pfb + Description: Courier 10 font, used in tests. + License: Bitstream-Charter + The Courier10PitchBT-Bold.pfb file is a Type-1 version of + Courier 10 Pitch BT Bold by Bitstream, obtained from + . It is included + here as test data only, but the following license applies. + + + (c) Copyright 1989-1992, Bitstream Inc., Cambridge, MA. + + You are hereby granted permission under all Bitstream propriety rights + to use, copy, modify, sublicense, sell, and redistribute the 4 Bitstream + Charter (r) Type 1 outline fonts and the 4 Courier Type 1 outline fonts + for any purpose and without restriction; provided, that this notice is + left intact on all copies of such fonts and that Bitstream's trademark + is acknowledged as shown below on all unmodified copies of the 4 Charter + Type 1 fonts. + + BITSTREAM CHARTER is a registered trademark of Bitstream Inc. + + + Name: FreeType + Files: matplotlib/ft2font.*.so + Description: Font rendering library + License: FTL OR GPL-2.0-or-later + The FreeType 2 font engine is copyrighted work and cannot be used + legally without a software license. In order to make this project + usable to a vast majority of developers, we distribute it under two + mutually exclusive open-source licenses. + + This means that *you* must choose *one* of the two licenses described + below, then obey all its terms and conditions when using FreeType 2 in + any of your projects or products. + + - The FreeType License, found in the file `docs/FTL.TXT`, which is + similar to the original BSD license *with* an advertising clause + that forces you to explicitly cite the FreeType project in your + product's documentation. All details are in the license file. + This license is suited to products which don't use the GNU General + Public License. + + Note that this license is compatible to the GNU General Public + License version 3, but not version 2. + + - The GNU General Public License version 2, found in + `docs/GPLv2.TXT` (any later version can be used also), for + programs which already use the GPL. Note that the FTL is + incompatible with GPLv2 due to its advertisement clause. + + The contributed BDF and PCF drivers come with a license similar to + that of the X Window System. It is compatible to the above two + licenses (see files `src/bdf/README` and `src/pcf/README`). 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The + fonts, including any derivative works, can be bundled, embedded, + redistributed and/or sold with any software provided that any reserved + names are not used by derivative works. The fonts and derivatives, + however, cannot be released under any other type of license. The + requirement for fonts to remain under this license does not apply to + any document created using the fonts or their derivatives. + + DEFINITIONS + "Font Software" refers to the set of files released by the Copyright + Holder(s) under this license and clearly marked as such. This may + include source files, build scripts and documentation. + + "Reserved Font Name" refers to any names specified as such after the + copyright statement(s). + + "Original Version" refers to the collection of Font Software + components as distributed by the Copyright Holder(s). + + "Modified Version" refers to any derivative made by adding to, + deleting, or substituting -- in part or in whole -- any of the + components of the Original Version, by changing formats or by porting + the Font Software to a new environment. + + "Author" refers to any designer, engineer, programmer, technical + writer or other person who contributed to the Font Software. + + PERMISSION & CONDITIONS + Permission is hereby granted, free of charge, to any person obtaining + a copy of the Font Software, to use, study, copy, merge, embed, + modify, redistribute, and sell modified and unmodified copies of the + Font Software, subject to the following conditions: + + 1) Neither the Font Software nor any of its individual components, in + Original or Modified Versions, may be sold by itself. + + 2) Original or Modified Versions of the Font Software may be bundled, + redistributed and/or sold with any software, provided that each copy + contains the above copyright notice and this license. These can be + included either as stand-alone text files, human-readable headers or + in the appropriate machine-readable metadata fields within text or + binary files as long as those fields can be easily viewed by the user. + + 3) No Modified Version of the Font Software may use the Reserved Font + Name(s) unless explicit written permission is granted by the + corresponding Copyright Holder. This restriction only applies to the + primary font name as presented to the users. + + 4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font + Software shall not be used to promote, endorse or advertise any + Modified Version, except to acknowledge the contribution(s) of the + Copyright Holder(s) and the Author(s) or with their explicit written + permission. + + 5) The Font Software, modified or unmodified, in part or in whole, + must be distributed entirely under this license, and must not be + distributed under any other license. The requirement for fonts to + remain under this license does not apply to any document created using + the Font Software. + + TERMINATION + This license becomes null and void if any of the above conditions are + not met. + + DISCLAIMER + THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT + OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. 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IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN + THE SOFTWARE. + + + Name: Stix fonts + Files: matplotlib/mpl-data/fonts/ttf/STIX*.ttf + Description: STIX fonts + License: OFL-1.1 + STIX Font License + + 24 May 2010 + + Copyright (c) 2001-2010 by the STI Pub Companies, consisting of the American + Institute of Physics, the American Chemical Society, the American Mathematical + Society, the American Physical Society, Elsevier, Inc., and The Institute of + Electrical and Electronic Engineers, Inc. (www.stixfonts.org), with Reserved + Font Name STIX Fonts, STIX Fonts (TM) is a trademark of The Institute of + Electrical and Electronics Engineers, Inc. + + Portions copyright (c) 1998-2003 by MicroPress, Inc. (www.micropress-inc.com), + with Reserved Font Name TM Math. To obtain additional mathematical fonts, please + contact MicroPress, Inc., 68-30 Harrow Street, Forest Hills, NY 11375, USA, + Phone: (718) 575-1816. + + Portions copyright (c) 1990 by Elsevier, Inc. + + This Font Software is licensed under the SIL Open Font License, Version 1.1. + This license is copied below, and is also available with a FAQ at: + https://scripts.sil.org/OFL + + ----------------------------------------------------------- + SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 + ----------------------------------------------------------- + + PREAMBLE + The goals of the Open Font License (OFL) are to stimulate worldwide + development of collaborative font projects, to support the font creation + efforts of academic and linguistic communities, and to provide a free and + open framework in which fonts may be shared and improved in partnership + with others. + + The OFL allows the licensed fonts to be used, studied, modified and + redistributed freely as long as they are not sold by themselves. The + fonts, including any derivative works, can be bundled, embedded, + redistributed and/or sold with any software provided that any reserved + names are not used by derivative works. The fonts and derivatives, + however, cannot be released under any other type of license. The + requirement for fonts to remain under this license does not apply + to any document created using the fonts or their derivatives. + + DEFINITIONS + "Font Software" refers to the set of files released by the Copyright + Holder(s) under this license and clearly marked as such. This may + include source files, build scripts and documentation. + + "Reserved Font Name" refers to any names specified as such after the + copyright statement(s). + + "Original Version" refers to the collection of Font Software components as + distributed by the Copyright Holder(s). + + "Modified Version" refers to any derivative made by adding to, deleting, + or substituting -- in part or in whole -- any of the components of the + Original Version, by changing formats or by porting the Font Software to a + new environment. + + "Author" refers to any designer, engineer, programmer, technical + writer or other person who contributed to the Font Software. + + PERMISSION & CONDITIONS + Permission is hereby granted, free of charge, to any person obtaining + a copy of the Font Software, to use, study, copy, merge, embed, modify, + redistribute, and sell modified and unmodified copies of the Font + Software, subject to the following conditions: + + 1) Neither the Font Software nor any of its individual components, + in Original or Modified Versions, may be sold by itself. + + 2) Original or Modified Versions of the Font Software may be bundled, + redistributed and/or sold with any software, provided that each copy + contains the above copyright notice and this license. These can be + included either as stand-alone text files, human-readable headers or + in the appropriate machine-readable metadata fields within text or + binary files as long as those fields can be easily viewed by the user. + + 3) No Modified Version of the Font Software may use the Reserved Font + Name(s) unless explicit written permission is granted by the corresponding + Copyright Holder. This restriction only applies to the primary font name as + presented to the users. + + 4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font + Software shall not be used to promote, endorse or advertise any + Modified Version, except to acknowledge the contribution(s) of the + Copyright Holder(s) and the Author(s) or with their explicit written + permission. + + 5) The Font Software, modified or unmodified, in part or in whole, + must be distributed entirely under this license, and must not be + distributed under any other license. The requirement for fonts to + remain under this license does not apply to any document created + using the Font Software. + + TERMINATION + This license becomes null and void if any of the above conditions are + not met. + + DISCLAIMER + THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT + OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE + COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, + INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL + DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING + FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM + OTHER DEALINGS IN THE FONT SOFTWARE. + + Name: Yorick Colormaps + Files: lib/matplotlib/_cm.py + Description: Gist/Yorick colormaps + License: + BSD-style license for gist/yorick colormaps. + + Copyright: + + Copyright (c) 1996. The Regents of the University of California. + All rights reserved. + + Permission to use, copy, modify, and distribute this software for any + purpose without fee is hereby granted, provided that this entire + notice is included in all copies of any software which is or includes + a copy or modification of this software and in all copies of the + supporting documentation for such software. + + This work was produced at the University of California, Lawrence + Livermore National Laboratory under contract no. W-7405-ENG-48 between + the U.S. Department of Energy and The Regents of the University of + California for the operation of UC LLNL. + + + DISCLAIMER + + This software was prepared as an account of work sponsored by an + agency of the United States Government. Neither the United States + Government nor the University of California nor any of their + employees, makes any warranty, express or implied, or assumes any + liability or responsibility for the accuracy, completeness, or + usefulness of any information, apparatus, product, or process + disclosed, or represents that its use would not infringe + privately-owned rights. Reference herein to any specific commercial + products, process, or service by trade name, trademark, manufacturer, + or otherwise, does not necessarily constitute or imply its + endorsement, recommendation, or favoring by the United States + Government or the University of California. The views and opinions of + authors expressed herein do not necessarily state or reflect those of + the United States Government or the University of California, and + shall not be used for advertising or product endorsement purposes. + + + AUTHOR + + David H. Munro wrote Yorick and Gist. Berkeley Yacc (byacc) generated + the Yorick parser. The routines in Math are from LAPACK and FFTPACK; + MathC contains C translations by David H. Munro. The algorithms for + Yorick's random number generator and several special functions in + Yorick/include were taken from Numerical Recipes by Press, et. al., + although the Yorick implementations are unrelated to those in + Numerical Recipes. A small amount of code in Gist was adapted from + the X11R4 release, copyright M.I.T. -- the complete copyright notice + may be found in the (unused) file Gist/host.c. + +Classifier: Development Status :: 5 - Production/Stable +Classifier: Framework :: Matplotlib +Classifier: Intended Audience :: Science/Research +Classifier: Intended Audience :: Education +Classifier: License :: OSI Approved :: Python Software Foundation License +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Topic :: Scientific/Engineering :: Visualization +Project-URL: Homepage, https://matplotlib.org +Project-URL: Download, https://matplotlib.org/stable/install/index.html +Project-URL: Documentation, https://matplotlib.org +Project-URL: Source Code, https://github.com/matplotlib/matplotlib +Project-URL: Bug Tracker, https://github.com/matplotlib/matplotlib/issues +Project-URL: Forum, https://discourse.matplotlib.org/ +Project-URL: Donate, https://numfocus.org/donate-to-matplotlib +Requires-Python: >=3.11 +Requires-Dist: contourpy>=1.0.1 +Requires-Dist: cycler>=0.10 +Requires-Dist: fonttools>=4.28.2 +Requires-Dist: kiwisolver>=1.3.1 +Requires-Dist: numpy>=1.25 +Requires-Dist: packaging>=20.0 +Requires-Dist: pillow>=9 +Requires-Dist: pyparsing>=3 +Requires-Dist: python-dateutil>=2.7 +Description-Content-Type: text/markdown + +[![PyPi](https://img.shields.io/pypi/v/matplotlib)](https://pypi.org/project/matplotlib/) +[![Conda](https://img.shields.io/conda/vn/conda-forge/matplotlib)](https://anaconda.org/conda-forge/matplotlib) +[![Downloads](https://img.shields.io/pypi/dm/matplotlib)](https://pypi.org/project/matplotlib) +[![NUMFocus](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org) +[![LFX Health Score](https://insights.linuxfoundation.org/api/badge/health-score?project=matplotlib)](https://insights.linuxfoundation.org/project/matplotlib) + +[![Discourse help forum](https://img.shields.io/badge/help_forum-discourse-blue.svg)](https://discourse.matplotlib.org) +[![Discourse chat](https://img.shields.io/badge/chat-discourse-mediumaquamarine)](https://discourse.matplotlib.org/chat/c/matplotlib/2) +[![GitHub issues](https://img.shields.io/badge/issue_tracking-github-blue.svg)](https://github.com/matplotlib/matplotlib/issues) +[![Contributing](https://img.shields.io/badge/PR-Welcome-%23FF8300.svg?)](https://matplotlib.org/stable/devel/index.html) + +[![GitHub actions status](https://github.com/matplotlib/matplotlib/workflows/Tests/badge.svg)](https://github.com/matplotlib/matplotlib/actions?query=workflow%3ATests) +[![Azure pipelines status](https://dev.azure.com/matplotlib/matplotlib/_apis/build/status/matplotlib.matplotlib?branchName=main)](https://dev.azure.com/matplotlib/matplotlib/_build/latest?definitionId=1&branchName=main) +[![AppVeyor status](https://ci.appveyor.com/api/projects/status/github/matplotlib/matplotlib?branch=main&svg=true)](https://ci.appveyor.com/project/matplotlib/matplotlib) +[![Codecov status](https://codecov.io/github/matplotlib/matplotlib/badge.svg?branch=main&service=github)](https://app.codecov.io/gh/matplotlib/matplotlib) +[![EffVer Versioning](https://img.shields.io/badge/version_scheme-EffVer-0097a7)](https://jacobtomlinson.dev/effver) + +![Matplotlib logotype](https://matplotlib.org/stable/_static/logo2.svg) + +Matplotlib is a comprehensive library for creating static, animated, and +interactive visualizations in Python. + +Check out our [home page](https://matplotlib.org/) for more information. + +![image](https://matplotlib.org/stable/_static/readme_preview.png) + +Matplotlib produces publication-quality figures in a variety of hardcopy +formats and interactive environments across platforms. 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PyTorch. +Author-email: Pavel Iakubovskii +License: The MIT License + + Copyright (c) 2019, Pavel Iakubovskii + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in + all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN + THE SOFTWARE. + +Project-URL: Homepage, https://github.com/qubvel-org/segmentation_models.pytorch +Classifier: License :: OSI Approved :: MIT License +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Requires-Python: >=3.9 +Description-Content-Type: text/markdown +License-File: LICENSE +Requires-Dist: huggingface-hub>=0.24 +Requires-Dist: numpy>=1.19.3 +Requires-Dist: pillow>=8 +Requires-Dist: safetensors>=0.3.1 +Requires-Dist: timm>=0.9 +Requires-Dist: torch>=1.8 +Requires-Dist: torchvision>=0.9 +Requires-Dist: tqdm>=4.42.1 +Provides-Extra: docs +Requires-Dist: autodocsumm; extra == "docs" +Requires-Dist: huggingface-hub; extra == "docs" +Requires-Dist: six; extra == "docs" +Requires-Dist: sphinx; extra == "docs" +Requires-Dist: sphinx-book-theme; extra == "docs" +Provides-Extra: test +Requires-Dist: gitpython; extra == "test" +Requires-Dist: packaging; extra == "test" +Requires-Dist: pytest; extra == "test" +Requires-Dist: pytest-cov; extra == "test" +Requires-Dist: pytest-xdist; extra == "test" +Requires-Dist: ruff>=0.9; extra == "test" +Requires-Dist: setuptools; extra == "test" +Dynamic: license-file + +
+ +![logo](https://i.ibb.co/dc1XdhT/Segmentation-Models-V2-Side-1-1.png) +**Python library with Neural Networks for Image Semantic +Segmentation based on [PyTorch](https://pytorch.org/).** + + +[![GitHub Workflow Status (branch)](https://img.shields.io/github/actions/workflow/status/qubvel/segmentation_models.pytorch/tests.yml?branch=main&style=for-the-badge)](https://github.com/qubvel/segmentation_models.pytorch/actions/workflows/tests.yml) +![Codecov](https://img.shields.io/codecov/c/github/qubvel-org/segmentation_models.pytorch?style=for-the-badge) +[![Read the Docs](https://img.shields.io/readthedocs/smp?style=for-the-badge&logo=readthedocs&logoColor=white)](https://smp.readthedocs.io/en/latest/) +
+[![PyPI](https://img.shields.io/pypi/v/segmentation-models-pytorch?color=red&style=for-the-badge&logo=pypi&logoColor=white)](https://pypi.org/project/segmentation-models-pytorch/) +[![PyTorch - Version](https://img.shields.io/badge/PYTORCH-1.9+-red?style=for-the-badge&logo=pytorch)](https://pepy.tech/project/segmentation-models-pytorch) +[![Python - Version](https://img.shields.io/badge/PYTHON-3.9+-red?style=for-the-badge&logo=python&logoColor=white)](https://pepy.tech/project/segmentation-models-pytorch) +
+[![Generic badge](https://img.shields.io/badge/License-MIT-.svg?style=for-the-badge&color=blue)](https://github.com/qubvel/segmentation_models.pytorch/blob/main/LICENSE) +[![PyPI - Downloads](https://img.shields.io/pypi/dm/segmentation-models-pytorch?style=for-the-badge&color=blue)](https://pepy.tech/project/segmentation-models-pytorch) + +
+ +The main features of the library are: + + - Super simple high-level API (just two lines to create a neural network) + - 12 encoder-decoder model architectures (Unet, Unet++, Segformer, DPT, ...) + - 800+ **pretrained** convolution- and transform-based encoders, including [timm](https://github.com/huggingface/pytorch-image-models) support + - Popular metrics and losses for training routines (Dice, Jaccard, Tversky, ...) + - ONNX export and torch script/trace/compile friendly + +### Community-Driven Project, Supported By + + + + + +
+ + withoutBG API Logo + + + withoutBG API +
+ https://withoutbg.com +
+

+ High-quality background removal API +
+

+
+ +### [📚 Project Documentation 📚](http://smp.readthedocs.io/) + +Visit [Read The Docs Project Page](https://smp.readthedocs.io/) or read the following README to know more about Segmentation Models Pytorch (SMP for short) library + +### 📋 Table of content + 1. [Quick start](#start) + 2. [Examples](#examples) + 3. [Models and encoders](#models-and-encoders) + 4. [Models API](#api) + 1. [Input channels](#input-channels) + 2. [Auxiliary classification output](#auxiliary-classification-output) + 3. [Depth](#depth) + 5. [Installation](#installation) + 6. [Competitions won with the library](#competitions) + 7. [Contributing](#contributing) + 8. [Citing](#citing) + 9. [License](#license) + +## ⏳ Quick start + +#### 1. Create your first Segmentation model with SMP + +The segmentation model is just a PyTorch `torch.nn.Module`, which can be created as easy as: + +```python +import segmentation_models_pytorch as smp + +model = smp.Unet( + encoder_name="resnet34", # choose encoder, e.g. mobilenet_v2 or efficientnet-b7 + encoder_weights="imagenet", # use `imagenet` pre-trained weights for encoder initialization + in_channels=1, # model input channels (1 for gray-scale images, 3 for RGB, etc.) + classes=3, # model output channels (number of classes in your dataset) +) +``` + - see [table](#architectures) with available model architectures + - see [table](#encoders) with available encoders and their corresponding weights + +#### 2. Configure data preprocessing + +All encoders have pretrained weights. Preparing your data the same way as during weights pre-training may give you better results (higher metric score and faster convergence). It is **not necessary** in case you train the whole model, not only the decoder. + +```python +from segmentation_models_pytorch.encoders import get_preprocessing_fn + +preprocess_input = get_preprocessing_fn('resnet18', pretrained='imagenet') +``` + +Congratulations! You are done! Now you can train your model with your favorite framework! + +## 💡 Examples + +| Name | Link | Colab | +|-------------------------------------------|-----------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------| +| **Train** pets binary segmentation on OxfordPets | [Notebook](https://github.com/qubvel/segmentation_models.pytorch/blob/main/examples/binary_segmentation_intro.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/binary_segmentation_intro.ipynb) | +| **Train** cars binary segmentation on CamVid | [Notebook](https://github.com/qubvel/segmentation_models.pytorch/blob/main/examples/cars%20segmentation%20(camvid).ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/cars%20segmentation%20(camvid).ipynb) | +| **Train** multiclass segmentation on CamVid | [Notebook](https://github.com/qubvel-org/segmentation_models.pytorch/blob/main/examples/camvid_segmentation_multiclass.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel-org/segmentation_models.pytorch/blob/main/examples/camvid_segmentation_multiclass.ipynb) | +| **Train** clothes binary segmentation by @ternaus | [Repo](https://github.com/ternaus/cloths_segmentation) | | +| **Load and inference** pretrained Segformer | [Notebook](https://github.com/qubvel-org/segmentation_models.pytorch/blob/main/examples/segformer_inference_pretrained.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/segformer_inference_pretrained.ipynb) | +| **Load and inference** pretrained DPT | [Notebook](https://github.com/qubvel-org/segmentation_models.pytorch/blob/main/examples/dpt_inference_pretrained.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/dpt_inference_pretrained.ipynb) | +| **Load and inference** pretrained DPT | [Notebook](https://github.com/qubvel-org/segmentation_models.pytorch/blob/main/examples/upernet_inference_pretrained.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/upernet_inference_pretrained.ipynb) | +| **Save and load** models locally / to HuggingFace Hub |[Notebook](https://github.com/qubvel-org/segmentation_models.pytorch/blob/main/examples/save_load_model_and_share_with_hf_hub.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/save_load_model_and_share_with_hf_hub.ipynb) +| **Export** trained model to ONNX | [Notebook](https://github.com/qubvel/segmentation_models.pytorch/blob/main/examples/convert_to_onnx.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/convert_to_onnx.ipynb) | + + +## 📦 Models and encoders + +### Architectures +| Architecture | Paper | Documentation | Checkpoints | +|--------------|-------|---------------|------------| +| Unet | [paper](https://arxiv.org/abs/1505.04597) | [docs](https://smp.readthedocs.io/en/latest/models.html#unet) | | +| Unet++ | [paper](https://arxiv.org/pdf/1807.10165.pdf) | [docs](https://smp.readthedocs.io/en/latest/models.html#unetplusplus) | | +| MAnet | [paper](https://ieeexplore.ieee.org/abstract/document/9201310) | [docs](https://smp.readthedocs.io/en/latest/models.html#manet) | | +| Linknet | [paper](https://arxiv.org/abs/1707.03718) | [docs](https://smp.readthedocs.io/en/latest/models.html#linknet) | | +| FPN | [paper](http://presentations.cocodataset.org/COCO17-Stuff-FAIR.pdf) | [docs](https://smp.readthedocs.io/en/latest/models.html#fpn) | | +| PSPNet | [paper](https://arxiv.org/abs/1612.01105) | [docs](https://smp.readthedocs.io/en/latest/models.html#pspnet) | | +| PAN | [paper](https://arxiv.org/abs/1805.10180) | [docs](https://smp.readthedocs.io/en/latest/models.html#pan) | | +| DeepLabV3 | [paper](https://arxiv.org/abs/1706.05587) | [docs](https://smp.readthedocs.io/en/latest/models.html#deeplabv3) | | +| DeepLabV3+ | [paper](https://arxiv.org/abs/1802.02611) | [docs](https://smp.readthedocs.io/en/latest/models.html#deeplabv3plus) | | +| UPerNet | [paper](https://arxiv.org/abs/1807.10221) | [docs](https://smp.readthedocs.io/en/latest/models.html#upernet) | [checkpoints](https://huggingface.co/collections/smp-hub/upernet-67fadcdbe08418c6ea94f768) | +| Segformer | [paper](https://arxiv.org/abs/2105.15203) | [docs](https://smp.readthedocs.io/en/latest/models.html#segformer) | [checkpoints](https://huggingface.co/collections/smp-hub/segformer-6749eb4923dea2c355f29a1f) | +| DPT | [paper](https://arxiv.org/abs/2103.13413) | [docs](https://smp.readthedocs.io/en/latest/models.html#dpt) | [checkpoints](https://huggingface.co/collections/smp-hub/dpt-67f30487327c0599a0c62d68) | + +### Encoders + +The library provides a wide range of **pretrained** encoders (also known as backbones) for segmentation models. Instead of using features from the final layer of a classification model, we extract **intermediate features** and feed them into the decoder for segmentation tasks. + +All encoders come with **pretrained weights**, which help achieve **faster and more stable convergence** when training segmentation models. + +Given the extensive selection of supported encoders, you can choose the best one for your specific use case, for example: +- **Lightweight encoders** for low-latency applications or real-time inference on edge devices (mobilenet/mobileone). +- **High-capacity architectures** for complex tasks involving a large number of segmented classes, providing superior accuracy (convnext/swin/mit). + +By selecting the right encoder, you can balance **efficiency, performance, and model complexity** to suit your project needs. + +All encoders and corresponding pretrained weight are listed in the documentation: + - [table](https://smp.readthedocs.io/en/latest/encoders.html) with natively ported encoders + - [table](https://smp.readthedocs.io/en/latest/encoders_timm.html) with [timm](https://github.com/huggingface/pytorch-image-models) encoders supported + +## 🔁 Models API + +### Input channels + +The input channels parameter allows you to create a model that can process a tensor with an arbitrary number of channels. +If you use pretrained weights from ImageNet, the weights of the first convolution will be reused: + - For the 1-channel case, it would be a sum of the weights of the first convolution layer. + - Otherwise, channels would be populated with weights like `new_weight[:, i] = pretrained_weight[:, i % 3]`, and then scaled with `new_weight * 3 / new_in_channels`. + +```python +model = smp.FPN('resnet34', in_channels=1) +mask = model(torch.ones([1, 1, 64, 64])) +``` + +### Auxiliary classification output + +All models support `aux_params` parameters, which is default set to `None`. +If `aux_params = None` then classification auxiliary output is not created, else +model produce not only `mask`, but also `label` output with shape `NC`. +Classification head consists of GlobalPooling->Dropout(optional)->Linear->Activation(optional) layers, which can be +configured by `aux_params` as follows: +```python +aux_params=dict( + pooling='avg', # one of 'avg', 'max' + dropout=0.5, # dropout ratio, default is None + activation='sigmoid', # activation function, default is None + classes=4, # define number of output labels +) +model = smp.Unet('resnet34', classes=4, aux_params=aux_params) +mask, label = model(x) +``` + +### Depth + +Depth parameter specify a number of downsampling operations in encoder, so you can make +your model lighter if specify smaller `depth`. +```python +model = smp.Unet('resnet34', encoder_depth=4) +``` + +## 🛠 Installation +PyPI version: + +```bash +$ pip install segmentation-models-pytorch +```` + +The latest version from GitHub: + +```bash +$ pip install git+https://github.com/qubvel/segmentation_models.pytorch +```` + +## 🏆 Competitions won with the library + +`Segmentation Models` package is widely used in image segmentation competitions. +[Here](https://github.com/qubvel/segmentation_models.pytorch/blob/main/HALLOFFAME.md) you can find competitions, names of the winners and links to their solutions. + +## 🤝 Contributing + +1. Install SMP in dev mode + +```bash +make install_dev # Create .venv, install SMP in dev mode +``` + +2. Run tests and code checks + +```bash +make test # Run tests suite with pytest +make fixup # Ruff for formatting and lint checks +``` + +3. Update a table (in case you added an encoder) + +```bash +make table # Generates a table with encoders and print to stdout +``` + +## 📝 Citing +``` +@misc{Iakubovskii:2019, + Author = {Pavel Iakubovskii}, + Title = {Segmentation Models Pytorch}, + Year = {2019}, + Publisher = {GitHub}, + Journal = {GitHub repository}, + Howpublished = {\url{https://github.com/qubvel/segmentation_models.pytorch}} +} +``` + +## 🛡️ License +The project is primarily distributed under [MIT License](https://github.com/qubvel/segmentation_models.pytorch/blob/main/LICENSE), while some files are subject to other licenses. Please refer to [LICENSES](licenses/LICENSES.md) and license statements in each file for careful check, especially for commercial use. diff --git a/.cache/pip/http-v2/c/d/5/d/e/cd5de44b899cbe1869765c21b55cffc53c0c0ffa9d3c6f1fd40a42a2.body b/.cache/pip/http-v2/c/d/5/d/e/cd5de44b899cbe1869765c21b55cffc53c0c0ffa9d3c6f1fd40a42a2.body new file mode 100644 index 0000000000000000000000000000000000000000..12d016f8263e95716dfc1fc819fdf20fcd4c10ff --- /dev/null +++ b/.cache/pip/http-v2/c/d/5/d/e/cd5de44b899cbe1869765c21b55cffc53c0c0ffa9d3c6f1fd40a42a2.body @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b67d255df2508f3110b11ee7269a7f3ed41221a5851a5eb38a893ddec399daa6 +size 277693 diff --git a/.gitattributes b/.gitattributes index bed0738c7eeb449bca98b5d2f33c89a1ee56349a..f5f4edfcc03cccfb03dd966eab8a70fd9c9ef880 100644 --- a/.gitattributes +++ b/.gitattributes @@ -58,3 +58,21 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text # Video files - compressed *.mp4 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