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The code is collected from Google's own Python code base, and has\nbeen extensively tested and used in production.\n\n## Features\n\n* Simple application startup\n* Distributed commandline flags system\n* Custom logging module with additional features\n* Testing utilities\n\n## Getting Started\n\n### Installation\n\nTo install the package, simply run:\n\n```bash\npip install absl-py\n```\n\nOr install from source:\n\n```bash\npip install .\n```\n\n### Running Tests\n\nTo run Abseil tests, you can clone the git repo and run\n[bazel](https://bazel.build/):\n\n```bash\ngit clone https://github.com/abseil/abseil-py.git\ncd abseil-py\nbazel test absl/...\n```\n\nPlease also validate the type annotations against the latest mypy:\n\n```bash\npip install mypy\nmypy absl\n```\n\n### Example Code\n\nPlease refer to\n[smoke_tests/sample_app.py](https://github.com/abseil/abseil-py/blob/main/smoke_tests/sample_app.py)\nas an example to get started.\n\n## Documentation\n\nSee the [Abseil Python Developer Guide](https://abseil.io/docs/python/).\n\n## Future Releases\n\nThe current repository includes an initial set of libraries for early adoption.\nMore components and interoperability with Abseil C++ Common Libraries\nwill come in future releases.\n\n## License\n\nThe Abseil Python library is licensed under the terms of the Apache\nlicense. 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This library is a pure Python, MIT-licensed alternative to the new LGPL-3.0 licensed [frozendict](https://github.com/Marco-Sulla/python-frozendict).\n\n## Installation\n\nOfficial release in [on pypi](https://pypi.org/project/immutabledict/) as `immutabledict`.\n\n**Community-maintained** releases are available:\n- On [conda-forge](https://anaconda.org/conda-forge/immutabledict) as `immutabledict`\n- On [various package repositories](https://repology.org/project/python:immutabledict/versions)\n\n## Example\n\n```python\nfrom immutabledict import immutabledict\n\nmy_item = immutabledict({\"a\": \"value\", \"b\": \"other_value\"})\nprint(my_item[\"a\"]) # Print \"value\"\n```\n\n## Differences with the old original frozendict package\n\n- Dropped support of EOL Python versions (older versions of the library may support older Python versions)\n- Fixed `collections.Mapping` deprecation warning\n- Typing\n- [PEP 584 union operators](https://www.python.org/dev/peps/pep-0584/)\n- Keep the same signature for `copy()` as `dict` (starting with immutabledict 3.0.0), don't accept extra keyword arguments.\n- Added `set`, `delete` and `discard` methods\n\n## Donations\n\nIf you wish to support this library, donations are possible [here](https://corenting.fr/donate).\n\n", "description_content_type": "text/markdown", "keywords": [ "immutable", "dictionary" ], "author": "Corentin Garcia", "author_email": "corenting@gmail.com", "license_expression": "MIT", "license_file": [ "LICENSE" ], "classifier": [ "Development Status :: 5 - Production/Stable", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Python Modules" ], "requires_python": ">=3.8,<4.0", "project_url": [ "Documentation, https://immutabledict.corenting.fr", "Homepage, https://github.com/corenting/immutabledict", "Repository, https://github.com/corenting/immutabledict", "bugtracker, https://github.com/corenting/immutabledict/issues", "changelog, https://github.com/corenting/immutabledict/blob/master/CHANGELOG.md", "donation, https://corenting.fr/donate" ] } }, { "download_info": { "url": "https://files.pythonhosted.org/packages/9c/59/a312e95696e5f601914dd8b6dd844692ba61670807417e24b68e337b5c70/numpy-2.5.3-cp312-cp312-macosx_14_0_arm64.whl", "archive_info": { "hash": "sha256=a72f874bc9e10e4b8f80426fb49716d5141f64442a0c8418065093ec8017fbb0", "hashes": { "sha256": "a72f874bc9e10e4b8f80426fb49716d5141f64442a0c8418065093ec8017fbb0" } } }, "is_direct": false, "is_yanked": false, "requested": false, "metadata": { "metadata_version": "2.4", "name": "numpy", "version": "2.5.3", "summary": "Fundamental package for array computing in Python", "description": "

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\n\n\n[![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](\nhttps://numfocus.org)\n[![PyPI Downloads](https://img.shields.io/pypi/dm/numpy.svg?label=PyPI%20downloads)](\nhttps://pypi.org/project/numpy/)\n[![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/numpy.svg?label=Conda%20downloads)](\nhttps://anaconda.org/conda-forge/numpy)\n[![Stack Overflow](https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg)](\nhttps://stackoverflow.com/questions/tagged/numpy)\n[![Nature Paper](https://img.shields.io/badge/DOI-10.1038%2Fs41586--020--2649--2-blue)](\nhttps://doi.org/10.1038/s41586-020-2649-2)\n[![LFX Health Score](https://insights.linuxfoundation.org/api/badge/health-score?project=numpy)](https://insights.linuxfoundation.org/project/numpy)\n[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/numpy/numpy/badge)](https://securityscorecards.dev/viewer/?uri=github.com/numpy/numpy)\n[![Typing](https://img.shields.io/pypi/types/numpy)](https://pypi.org/project/numpy/)\n\n\nNumPy is the fundamental package for scientific computing with Python.\n\n- **Website:** https://numpy.org\n- **Documentation:** https://numpy.org/doc\n- **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion\n- **Source code:** https://github.com/numpy/numpy\n- **Contributing:** https://numpy.org/devdocs/dev/index.html\n- **Bug reports:** https://github.com/numpy/numpy/issues\n- **Report a security vulnerability:** https://github.com/numpy/numpy/security/policy (via Tidelift)\n\nIt provides:\n\n- a powerful N-dimensional array object\n- sophisticated (broadcasting) functions\n- tools for integrating C/C++ and Fortran code\n- useful linear algebra, Fourier transform, and random number capabilities\n\nTesting:\n\nNumPy requires `pytest` and `hypothesis`. Tests can then be run after installation with:\n\n python -c \"import numpy, sys; sys.exit(numpy.test() is False)\"\n\nCode of Conduct\n----------------------\n\nNumPy is a community-driven open source project developed by a diverse group of\n[contributors](https://numpy.org/teams/). The NumPy leadership has made a strong\ncommitment to creating an open, inclusive, and positive community. Please read the\n[NumPy Code of Conduct](https://numpy.org/code-of-conduct/) for guidance on how to interact\nwith others in a way that makes our community thrive.\n\nCall for Contributions\n----------------------\n\nThe NumPy project welcomes your expertise and enthusiasm!\n\nSmall improvements or fixes are always appreciated. If you are considering larger contributions\nto the source code, please contact us through the [mailing\nlist](https://mail.python.org/mailman/listinfo/numpy-discussion) first.\n\nWriting code isn’t the only way to contribute to NumPy. You can also:\n- review pull requests\n- help us stay on top of new and old issues\n- develop tutorials, presentations, and other educational materials\n- maintain and improve [our website](https://github.com/numpy/numpy.org)\n- develop graphic design for our brand assets and promotional materials\n- translate website content\n- help with outreach and onboard new contributors\n- write grant proposals and help with other fundraising efforts\n\nFor more information about the ways you can contribute to NumPy, visit [our website](https://numpy.org/contribute/). \nIf you’re unsure where to start or how your skills fit in, reach out! You can\nask on the mailing list or here, on GitHub, by opening a new issue or leaving a\ncomment on a relevant issue that is already open.\n\nOur preferred channels of communication are all public, but if you’d like to\nspeak to us in private first, contact our community coordinators at\nnumpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for\nan invitation).\n\nWe also have a biweekly community call, details of which are announced on the\nmailing list. You are very welcome to join.\n\nIf you are new to contributing to open source, [this\nguide](https://opensource.guide/how-to-contribute/) helps explain why, what,\nand how to successfully get involved.\n", "description_content_type": "text/markdown", "author": "Travis E. Oliphant et al.", "maintainer_email": "NumPy Developers ", "license_expression": "BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0", "license_file": [ "LICENSE.txt", "numpy/_core/include/numpy/libdivide/LICENSE.txt", "numpy/_core/src/common/pythoncapi-compat/COPYING", "numpy/_core/src/highway/LICENSE", "numpy/_core/src/multiarray/dragon4_LICENSE.txt", "numpy/_core/src/npysort/x86-simd-sort/LICENSE.md", "numpy/_core/src/umath/svml/LICENSE", "numpy/fft/pocketfft/LICENSE.md", "numpy/linalg/lapack_lite/LICENSE.txt", "numpy/ma/LICENSE", "numpy/random/LICENSE.md", "numpy/random/src/distributions/LICENSE.md", "numpy/random/src/mt19937/LICENSE.md", "numpy/random/src/pcg64/LICENSE.md", "numpy/random/src/philox/LICENSE.md", "numpy/random/src/sfc64/LICENSE.md", "numpy/random/src/splitmix64/LICENSE.md" ], "classifier": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "Intended Audience :: Developers", "Programming Language :: C", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: 3.15", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Software Development", "Topic :: Scientific/Engineering", "Typing :: Typed", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Operating System :: MacOS" ], "requires_python": ">=3.12", "project_url": [ "homepage, https://numpy.org", "documentation, https://numpy.org/doc/", "source, https://github.com/numpy/numpy", "download, https://pypi.org/project/numpy/#files", "tracker, https://github.com/numpy/numpy/issues", "release notes, https://numpy.org/doc/stable/release" ] } }, { "download_info": { "url": "https://files.pythonhosted.org/packages/18/8f/48907c7c707b61a8e5018c32e1a3f70623209bfb59020a2f6196159d3aa7/pandas-3.0.6-cp312-cp312-macosx_11_0_arm64.whl", "archive_info": { "hash": "sha256=9dab635a549e58a053c7b0fa054dc0bd7be22f0ed9a720f4a85d5fb993276172", "hashes": { "sha256": "9dab635a549e58a053c7b0fa054dc0bd7be22f0ed9a720f4a85d5fb993276172" } } }, "is_direct": false, "is_yanked": false, "requested": false, "metadata": { "metadata_version": "2.1", "name": "pandas", "version": "3.0.6", "summary": "Powerful data structures for data analysis, time series, and statistics", "description": "\n \n \"Pandas\n\n\n-----------------\n\n# pandas: A Powerful Python Data Analysis Toolkit\n\n| | |\n| --- | --- |\n| Testing | [![CI - Test](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml) [![Coverage](https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=main)](https://codecov.io/gh/pandas-dev/pandas) |\n| Package | [![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/) [![PyPI Downloads](https://img.shields.io/pypi/dm/pandas.svg?label=PyPI%20downloads)](https://pypi.org/project/pandas/) [![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/conda-forge/pandas) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pandas.svg?label=Conda%20downloads)](https://anaconda.org/conda-forge/pandas) |\n| Meta | [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3509134.svg)](https://doi.org/10.5281/zenodo.3509134) [![License - BSD 3-Clause](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/main/LICENSE) [![Slack](https://img.shields.io/badge/join_Slack-information-brightgreen.svg?logo=slack)](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) [![LFX Health Score](https://insights.linuxfoundation.org/api/badge/health-score?project=pandas-dev-pandas)](https://insights.linuxfoundation.org/project/pandas-dev-pandas) |\n\n\n## What is it?\n\n**pandas** is a Python package that provides fast, flexible, and expressive data\nstructures designed to make working with \"relational\" or \"labeled\" data both\neasy and intuitive. It aims to be the fundamental high-level building block for\ndoing practical, **real-world** data analysis in Python. Additionally, it has\nthe broader goal of becoming **the most powerful and flexible open-source data\nanalysis/manipulation tool available in any language**. It is already well on\nits way towards this goal.\n\n## Table of Contents\n\n- [Main Features](#main-features)\n- [Where to get it](#where-to-get-it)\n- [Dependencies](#dependencies)\n- [Installation from sources](#installation-from-sources)\n- [License](#license)\n- [Documentation](#documentation)\n- [Background](#background)\n- [Getting Help](#getting-help)\n- [Discussion and Development](#discussion-and-development)\n- [Contributing to pandas](#contributing-to-pandas)\n\n## Main Features\nHere are just a few of the things that pandas does well:\n\n - Easy handling of [**missing data**][missing-data] (represented as\n `NaN`, `NA`, or `NaT`) in floating point as well as non-floating point data\n - Size mutability: columns can be [**inserted and\n deleted**][insertion-deletion] from DataFrame and higher dimensional\n objects\n - Automatic and explicit [**data alignment**][alignment]: objects can\n be explicitly aligned to a set of labels, or the user can simply\n ignore the labels and let `Series`, `DataFrame`, etc. automatically\n align the data for you in computations\n - Powerful, flexible [**group by**][groupby] functionality to perform\n split-apply-combine operations on data sets, for both aggregating\n and transforming data\n - Make it [**easy to convert**][conversion] ragged,\n differently-indexed data in other Python and NumPy data structures\n into DataFrame objects\n - Intelligent label-based [**slicing**][slicing], [**fancy\n indexing**][fancy-indexing], and [**subsetting**][subsetting] of\n large data sets\n - Intuitive [**merging**][merging] and [**joining**][joining] data\n sets\n - Flexible [**reshaping**][reshape] and [**pivoting**][pivot-table] of\n data sets\n - [**Hierarchical**][mi] labeling of axes (possible to have multiple\n labels per tick)\n - Robust I/O tools for loading data from [**flat files**][flat-files]\n (CSV and delimited), [**Excel files**][excel], [**databases**][db],\n and saving/loading data from the ultrafast [**HDF5 format**][hdfstore]\n - [**Time series**][timeseries]-specific functionality: date range\n generation and frequency conversion, moving window statistics,\n date shifting and lagging\n\n\n [missing-data]: https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html\n [insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#column-selection-addition-deletion\n [alignment]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html?highlight=alignment#intro-to-data-structures\n [groupby]: https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#group-by-split-apply-combine\n [conversion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe\n [slicing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#slicing-ranges\n [fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced\n [subsetting]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#boolean-indexing\n [merging]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#database-style-dataframe-or-named-series-joining-merging\n [joining]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#joining-on-index\n [reshape]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html\n [pivot-table]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html\n [mi]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#hierarchical-indexing-multiindex\n [flat-files]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#csv-text-files\n [excel]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#excel-files\n [db]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#sql-queries\n [hdfstore]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#hdf5-pytables\n [timeseries]: https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#time-series-date-functionality\n\n## Where to get it\nThe source code is currently hosted on GitHub at:\nhttps://github.com/pandas-dev/pandas\n\nBinary installers for the latest released version are available at the [Python\nPackage Index (PyPI)](https://pypi.org/project/pandas) and on [Conda](https://anaconda.org/conda-forge/pandas).\n\n```sh\n# conda\nconda install -c conda-forge pandas\n```\n\n```sh\n# or PyPI\npip install pandas\n```\n\nThe list of changes to pandas between each release can be found\n[here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full\ndetails, see the commit logs at https://github.com/pandas-dev/pandas.\n\n## Dependencies\n- [NumPy - Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays](https://www.numpy.org)\n- [python-dateutil - Provides powerful extensions to the standard datetime module](https://dateutil.readthedocs.io/en/stable/index.html)\n- [tzdata - Provides an IANA time zone database](https://tzdata.readthedocs.io/en/latest/) (Only required on Windows/Emscripten)\n\nSee the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies) for minimum supported versions of required, recommended and optional dependencies.\n\n## Installation from sources\nTo install pandas from source you need [Cython](https://cython.org/) in addition to the normal\ndependencies above. Cython can be installed from PyPI:\n\n```sh\npip install cython\n```\n\nIn the `pandas` directory (same one where you found this file after\ncloning the git repo), execute:\n\n```sh\npip install .\n```\n\nor for installing in [development mode](https://pip.pypa.io/en/latest/cli/pip_install/#install-editable):\n\n\n```sh\npython -m pip install -ve . --no-build-isolation --config-settings editable-verbose=true\n```\n\nSee the full instructions for [installing from source](https://pandas.pydata.org/docs/dev/development/contributing_environment.html).\n\n## License\n[BSD 3](LICENSE)\n\n## Documentation\nThe official documentation is hosted on [PyData.org](https://pandas.pydata.org/pandas-docs/stable/).\n\n## Background\nWork on ``pandas`` started at [AQR](https://www.aqr.com/) (a quantitative hedge fund) in 2008 and\nhas been under active development since then.\n\n## Getting Help\n\nFor usage questions, the best place to go to is [Stack Overflow](https://stackoverflow.com/questions/tagged/pandas).\nFurther, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata).\n\n## Discussion and Development\nMost development discussions take place on GitHub in this repo, via the [GitHub issue tracker](https://github.com/pandas-dev/pandas/issues).\n\nFurther, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Slack channel](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) is available for quick development related questions.\n\nThere are also frequent [community meetings](https://pandas.pydata.org/docs/dev/development/community.html#community-meeting) for project maintainers open to the community as well as monthly [new contributor meetings](https://pandas.pydata.org/docs/dev/development/community.html#new-contributor-meeting) to help support new contributors.\n\nAdditional information on the communication channels can be found on the [contributor community](https://pandas.pydata.org/docs/development/community.html) page.\n\n## Contributing to pandas\n\n[![Open Source Helpers](https://www.codetriage.com/pandas-dev/pandas/badges/users.svg)](https://www.codetriage.com/pandas-dev/pandas)\n\nAll contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.\n\nA detailed overview on how to contribute can be found in the **[contributing guide](https://pandas.pydata.org/docs/dev/development/contributing.html)**.\n\nIf you are simply looking to start working with the pandas codebase, navigate to the [GitHub \"issues\" tab](https://github.com/pandas-dev/pandas/issues) and start looking through interesting issues. There are a number of issues listed under [Docs](https://github.com/pandas-dev/pandas/issues?q=is%3Aissue%20state%3Aopen%20label%3ADocs%20sort%3Aupdated-desc) and [good first issue](https://github.com/pandas-dev/pandas/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22%20sort%3Aupdated-desc) where you could start out.\n\nYou can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions. If you would like to start triaging issues, one easy way to get started is to [subscribe to pandas on CodeTriage](https://www.codetriage.com/pandas-dev/pandas).\n\nOr maybe through using pandas you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’... you can do something about it!\n\nFeel free to ask questions on the [mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata) or on [Slack](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack).\n\nAs contributors and maintainers to this project, you are expected to abide by pandas' code of conduct. More information can be found at: [Contributor Code of Conduct](https://github.com/pandas-dev/.github/blob/master/CODE_OF_CONDUCT.md)\n\n
\n\n[Go to Top](#table-of-contents)\n", "description_content_type": "text/markdown", "author_email": "The Pandas Development Team ", "license": "BSD 3-Clause License\n\n Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team\n All rights reserved.\n\n Copyright (c) 2011-2026, Open source contributors.\n\n Redistribution and use in source and binary forms, with or without\n modification, are permitted provided that the following conditions are met:\n\n * Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n * Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n * Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n DISCLAIMED. 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IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS\n BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN\n ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN\n CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n SOFTWARE.musl as a whole is licensed under the following standard MIT license:\n\n ----------------------------------------------------------------------\n Copyright © 2005-2020 Rich Felker, et al.\n\n Permission is hereby granted, free of charge, to any person obtaining\n a copy of this software and associated documentation files (the\n \"Software\"), to deal in the Software without restriction, including\n without limitation the rights to use, copy, modify, merge, publish,\n distribute, sublicense, and/or sell copies of the Software, and to\n permit persons to whom the Software is furnished to do so, subject to\n the following conditions:\n\n The above copyright notice and this permission notice shall be\n included in all copies or substantial portions of the Software.\n\n THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\n EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\n IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\n CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\n TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\n SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n ----------------------------------------------------------------------\n\n Authors/contributors include:\n\n A. Wilcox\n Ada Worcester\n Alex Dowad\n Alex Suykov\n Alexander Monakov\n Andre McCurdy\n Andrew Kelley\n Anthony G. Basile\n Aric Belsito\n Arvid Picciani\n Bartosz Brachaczek\n Benjamin Peterson\n Bobby Bingham\n Boris Brezillon\n Brent Cook\n Chris Spiegel\n Clément Vasseur\n Daniel Micay\n Daniel Sabogal\n Daurnimator\n David Carlier\n David Edelsohn\n Denys Vlasenko\n Dmitry Ivanov\n Dmitry V. Levin\n Drew DeVault\n Emil Renner Berthing\n Fangrui Song\n Felix Fietkau\n Felix Janda\n Gianluca Anzolin\n Hauke Mehrtens\n He X\n Hiltjo Posthuma\n Isaac Dunham\n Jaydeep Patil\n Jens Gustedt\n Jeremy Huntwork\n Jo-Philipp Wich\n Joakim Sindholt\n John Spencer\n Julien Ramseier\n Justin Cormack\n Kaarle Ritvanen\n Khem Raj\n Kylie McClain\n Leah Neukirchen\n Luca Barbato\n Luka Perkov\n M Farkas-Dyck (Strake)\n Mahesh Bodapati\n Markus Wichmann\n Masanori Ogino\n Michael Clark\n Michael Forney\n Mikhail Kremnyov\n Natanael Copa\n Nicholas J. Kain\n orc\n Pascal Cuoq\n Patrick Oppenlander\n Petr Hosek\n Petr Skocik\n Pierre Carrier\n Reini Urban\n Rich Felker\n Richard Pennington\n Ryan Fairfax\n Samuel Holland\n Segev Finer\n Shiz\n sin\n Solar Designer\n Stefan Kristiansson\n Stefan O'Rear\n Szabolcs Nagy\n Timo Teräs\n Trutz Behn\n Valentin Ochs\n Will Dietz\n William Haddon\n William Pitcock\n\n Portions of this software are derived from third-party works licensed\n under terms compatible with the above MIT license:\n\n The TRE regular expression implementation (src/regex/reg* and\n src/regex/tre*) is Copyright © 2001-2008 Ville Laurikari and licensed\n under a 2-clause BSD license (license text in the source files). The\n included version has been heavily modified by Rich Felker in 2012, in\n the interests of size, simplicity, and namespace cleanliness.\n\n Much of the math library code (src/math/* and src/complex/*) is\n Copyright © 1993,2004 Sun Microsystems or\n Copyright © 2003-2011 David Schultz or\n Copyright © 2003-2009 Steven G. Kargl or\n Copyright © 2003-2009 Bruce D. Evans or\n Copyright © 2008 Stephen L. Moshier or\n Copyright © 2017-2018 Arm Limited\n and labelled as such in comments in the individual source files. All\n have been licensed under extremely permissive terms.\n\n The ARM memcpy code (src/string/arm/memcpy.S) is Copyright © 2008\n The Android Open Source Project and is licensed under a two-clause BSD\n license. It was taken from Bionic libc, used on Android.\n\n The AArch64 memcpy and memset code (src/string/aarch64/*) are\n Copyright © 1999-2019, Arm Limited.\n\n The implementation of DES for crypt (src/crypt/crypt_des.c) is\n Copyright © 1994 David Burren. It is licensed under a BSD license.\n\n The implementation of blowfish crypt (src/crypt/crypt_blowfish.c) was\n originally written by Solar Designer and placed into the public\n domain. The code also comes with a fallback permissive license for use\n in jurisdictions that may not recognize the public domain.\n\n The smoothsort implementation (src/stdlib/qsort.c) is Copyright © 2011\n Valentin Ochs and is licensed under an MIT-style license.\n\n The x86_64 port was written by Nicholas J. Kain and is licensed under\n the standard MIT terms.\n\n The mips and microblaze ports were originally written by Richard\n Pennington for use in the ellcc project. The original code was adapted\n by Rich Felker for build system and code conventions during upstream\n integration. It is licensed under the standard MIT terms.\n\n The mips64 port was contributed by Imagination Technologies and is\n licensed under the standard MIT terms.\n\n The powerpc port was also originally written by Richard Pennington,\n and later supplemented and integrated by John Spencer. It is licensed\n under the standard MIT terms.\n\n All other files which have no copyright comments are original works\n produced specifically for use as part of this library, written either\n by Rich Felker, the main author of the library, or by one or more\n contibutors listed above. Details on authorship of individual files\n can be found in the git version control history of the project. The\n omission of copyright and license comments in each file is in the\n interest of source tree size.\n\n In addition, permission is hereby granted for all public header files\n (include/* and arch/*/bits/*) and crt files intended to be linked into\n applications (crt/*, ldso/dlstart.c, and arch/*/crt_arch.h) to omit\n the copyright notice and permission notice otherwise required by the\n license, and to use these files without any requirement of\n attribution. These files include substantial contributions from:\n\n Bobby Bingham\n John Spencer\n Nicholas J. Kain\n Rich Felker\n Richard Pennington\n Stefan Kristiansson\n Szabolcs Nagy\n\n all of whom have explicitly granted such permission.\n\n This file previously contained text expressing a belief that most of\n the files covered by the above exception were sufficiently trivial not\n to be subject to copyright, resulting in confusion over whether it\n negated the permissions granted in the license. 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HISTORY OF THE SOFTWARE\n ==========================\n\n Python was created in the early 1990s by Guido van Rossum at Stichting\n Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands\n as a successor of a language called ABC. Guido remains Python's\n principal author, although it includes many contributions from others.\n\n In 1995, Guido continued his work on Python at the Corporation for\n National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)\n in Reston, Virginia where he released several versions of the\n software.\n\n In May 2000, Guido and the Python core development team moved to\n BeOpen.com to form the BeOpen PythonLabs team. In October of the same\n year, the PythonLabs team moved to Digital Creations, which became\n Zope Corporation. In 2001, the Python Software Foundation (PSF, see\n https://www.python.org/psf/) was formed, a non-profit organization\n created specifically to own Python-related Intellectual Property.\n Zope Corporation was a sponsoring member of the PSF.\n\n All Python releases are Open Source (see https://opensource.org for\n the Open Source Definition). Historically, most, but not all, Python\n releases have also been GPL-compatible; the table below summarizes\n the various releases.\n\n Release Derived Year Owner GPL-\n from compatible? (1)\n\n 0.9.0 thru 1.2 1991-1995 CWI yes\n 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes\n 1.6 1.5.2 2000 CNRI no\n 2.0 1.6 2000 BeOpen.com no\n 1.6.1 1.6 2001 CNRI yes (2)\n 2.1 2.0+1.6.1 2001 PSF no\n 2.0.1 2.0+1.6.1 2001 PSF yes\n 2.1.1 2.1+2.0.1 2001 PSF yes\n 2.1.2 2.1.1 2002 PSF yes\n 2.1.3 2.1.2 2002 PSF yes\n 2.2 and above 2.1.1 2001-now PSF yes\n\n Footnotes:\n\n (1) GPL-compatible doesn't mean that we're distributing Python under\n the GPL. All Python licenses, unlike the GPL, let you distribute\n a modified version without making your changes open source. The\n GPL-compatible licenses make it possible to combine Python with\n other software that is released under the GPL; the others don't.\n\n (2) According to Richard Stallman, 1.6.1 is not GPL-compatible,\n because its license has a choice of law clause. According to\n CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1\n is \"not incompatible\" with the GPL.\n\n Thanks to the many outside volunteers who have worked under Guido's\n direction to make these releases possible.\n\n\n B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON\n ===============================================================\n\n Python software and documentation are licensed under the\n Python Software Foundation License Version 2.\n\n Starting with Python 3.8.6, examples, recipes, and other code in\n the documentation are dual licensed under the PSF License Version 2\n and the Zero-Clause BSD license.\n\n Some software incorporated into Python is under different licenses.\n The licenses are listed with code falling under that license.\n\n\n PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2\n --------------------------------------------\n\n 1. This LICENSE AGREEMENT is between the Python Software Foundation\n (\"PSF\"), and the Individual or Organization (\"Licensee\") accessing and\n otherwise using this software (\"Python\") in source or binary form and\n its associated documentation.\n\n 2. Subject to the terms and conditions of this License Agreement, PSF hereby\n grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,\n analyze, test, perform and/or display publicly, prepare derivative works,\n distribute, and otherwise use Python alone or in any derivative version,\n provided, however, that PSF's License Agreement and PSF's notice of copyright,\n i.e., \"Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,\n 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation;\n All Rights Reserved\" are retained in Python alone or in any derivative version\n prepared by Licensee.\n\n 3. In the event Licensee prepares a derivative work that is based on\n or incorporates Python or any part thereof, and wants to make\n the derivative work available to others as provided herein, then\n Licensee hereby agrees to include in any such work a brief summary of\n the changes made to Python.\n\n 4. 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IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\n FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\n DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\n SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\n CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\n OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\n OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.Copyright (c) 2017 Anthony Sottile\n\n Permission is hereby granted, free of charge, to any person obtaining a copy\n of this software and associated documentation files (the \"Software\"), to deal\n in the Software without restriction, including without limitation the rights\n to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n copies of the Software, and to permit persons to whom the Software is\n furnished to do so, subject to the following conditions:\n\n The above copyright notice and this permission notice shall be included in\n all copies or substantial portions of the Software.\n\n THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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IN NO EVENT SHALL THE\n AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n SOFTWARE.Developed by ESN, an Electronic Arts Inc. studio.\n Copyright (c) 2014, Electronic Arts Inc.\n All rights reserved.\n\n Redistribution and use in source and binary forms, with or without\n modification, are permitted provided that the following conditions are met:\n * Redistributions of source code must retain the above copyright\n notice, this list of conditions and the following disclaimer.\n * Redistributions in binary form must reproduce the above copyright\n notice, this list of conditions and the following disclaimer in the\n documentation and/or other materials provided with the distribution.\n * Neither the name of ESN, Electronic Arts Inc. nor the\n names of its contributors may be used to endorse or promote products\n derived from this software without specific prior written permission.\n\n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\n ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n DISCLAIMED. IN NO EVENT SHALL ELECTRONIC ARTS INC. BE LIABLE\n FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\n LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\n ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\n SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n ----\n\n Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)\n https://github.com/client9/stringencoders\n\n Copyright 2005, 2006, 2007\n Nick Galbreath -- nickg [at] modp [dot] com\n All rights reserved.\n\n Redistribution and use in source and binary forms, with or without\n modification, are permitted provided that the following conditions are\n met:\n\n Redistributions of source code must retain the above copyright\n notice, this list of conditions and the following disclaimer.\n\n Redistributions in binary form must reproduce the above copyright\n notice, this list of conditions and the following disclaimer in the\n documentation and/or other materials provided with the distribution.\n\n Neither the name of the modp.com nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS\n \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT\n LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR\n A PARTICULAR PURPOSE ARE DISCLAIMED. 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The following terms apply to all files\n associated with the software unless explicitly disclaimed in\n individual files.\n\n The authors hereby grant permission to use, copy, modify, distribute,\n and license this software and its documentation for any purpose, provided\n that existing copyright notices are retained in all copies and that this\n notice is included verbatim in any distributions. 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THIS SOFTWARE\n IS PROVIDED ON AN \"AS IS\" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE\n NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR\n MODIFICATIONS.\n\n GOVERNMENT USE: If you are acquiring this software on behalf of the\n U.S. government, the Government shall have only \"Restricted Rights\"\n in the software and related documentation as defined in the Federal\n Acquisition Regulations (FARs) in Clause 52.227.19 (c) (2). If you\n are acquiring the software on behalf of the Department of Defense, the\n software shall be classified as \"Commercial Computer Software\" and the\n Government shall have only \"Restricted Rights\" as defined in Clause\n 252.227-7013 (c) (1) of DFARs. Notwithstanding the foregoing, the\n authors grant the U.S. Government and others acting in its behalf\n permission to use and distribute the software in accordance with the\n terms specified in this license.", "classifier": [ "Development Status :: 5 - Production/Stable", "Environment :: Console", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Cython", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: 3.15", "Topic :: Scientific/Engineering" ], "requires_dist": [ "numpy>=1.26.0; python_version < \"3.14\"", "numpy>=2.3.3; python_version >= \"3.14\"", "python-dateutil>=2.8.2", "tzdata; sys_platform == \"win32\"", "tzdata; 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powerful extensions to datetime\n==========================================\n\n|pypi| |support| |licence|\n\n|gitter| |readthedocs|\n\n|travis| |appveyor| |pipelines| |coverage|\n\n.. |pypi| image:: https://img.shields.io/pypi/v/python-dateutil.svg?style=flat-square\n :target: https://pypi.org/project/python-dateutil/\n :alt: pypi version\n\n.. |support| image:: https://img.shields.io/pypi/pyversions/python-dateutil.svg?style=flat-square\n :target: https://pypi.org/project/python-dateutil/\n :alt: supported Python version\n\n.. |travis| image:: https://img.shields.io/travis/dateutil/dateutil/master.svg?style=flat-square&label=Travis%20Build\n :target: https://travis-ci.org/dateutil/dateutil\n :alt: travis build status\n\n.. |appveyor| image:: https://img.shields.io/appveyor/ci/dateutil/dateutil/master.svg?style=flat-square&logo=appveyor\n :target: https://ci.appveyor.com/project/dateutil/dateutil\n :alt: appveyor build status\n\n.. |pipelines| image:: https://dev.azure.com/pythondateutilazure/dateutil/_apis/build/status/dateutil.dateutil?branchName=master\n :target: https://dev.azure.com/pythondateutilazure/dateutil/_build/latest?definitionId=1&branchName=master\n :alt: azure pipelines build status\n\n.. |coverage| image:: https://codecov.io/gh/dateutil/dateutil/branch/master/graphs/badge.svg?branch=master\n :target: https://codecov.io/gh/dateutil/dateutil?branch=master\n :alt: Code coverage\n\n.. |gitter| image:: https://badges.gitter.im/dateutil/dateutil.svg\n :alt: Join the chat at https://gitter.im/dateutil/dateutil\n :target: https://gitter.im/dateutil/dateutil\n\n.. |licence| image:: https://img.shields.io/pypi/l/python-dateutil.svg?style=flat-square\n :target: https://pypi.org/project/python-dateutil/\n :alt: licence\n\n.. |readthedocs| image:: https://img.shields.io/readthedocs/dateutil/latest.svg?style=flat-square&label=Read%20the%20Docs\n :alt: Read the documentation at https://dateutil.readthedocs.io/en/latest/\n :target: https://dateutil.readthedocs.io/en/latest/\n\nThe `dateutil` module provides powerful extensions to\nthe standard `datetime` module, available in Python.\n\nInstallation\n============\n`dateutil` can be installed from PyPI using `pip` (note that the package name is\ndifferent from the importable name)::\n\n pip install python-dateutil\n\nDownload\n========\ndateutil is available on PyPI\nhttps://pypi.org/project/python-dateutil/\n\nThe documentation is hosted at:\nhttps://dateutil.readthedocs.io/en/stable/\n\nCode\n====\nThe code and issue tracker are hosted on GitHub:\nhttps://github.com/dateutil/dateutil/\n\nFeatures\n========\n\n* Computing of relative deltas (next month, next year,\n next Monday, last week of month, etc);\n* Computing of relative deltas between two given\n date and/or datetime objects;\n* Computing of dates based on very flexible recurrence rules,\n using a superset of the `iCalendar `_\n specification. Parsing of RFC strings is supported as well.\n* Generic parsing of dates in almost any string format;\n* Timezone (tzinfo) implementations for tzfile(5) format\n files (/etc/localtime, /usr/share/zoneinfo, etc), TZ\n environment string (in all known formats), iCalendar\n format files, given ranges (with help from relative deltas),\n local machine timezone, fixed offset timezone, UTC timezone,\n and Windows registry-based time zones.\n* Internal up-to-date world timezone information based on\n Olson's database.\n* Computing of Easter Sunday dates for any given year,\n using Western, Orthodox or Julian algorithms;\n* A comprehensive test suite.\n\nQuick example\n=============\nHere's a snapshot, just to give an idea about the power of the\npackage. For more examples, look at the documentation.\n\nSuppose you want to know how much time is left, in\nyears/months/days/etc, before the next easter happening on a\nyear with a Friday 13th in August, and you want to get today's\ndate out of the \"date\" unix system command. Here is the code:\n\n.. code-block:: python3\n\n >>> from dateutil.relativedelta import *\n >>> from dateutil.easter import *\n >>> from dateutil.rrule import *\n >>> from dateutil.parser import *\n >>> from datetime import *\n >>> now = parse(\"Sat Oct 11 17:13:46 UTC 2003\")\n >>> today = now.date()\n >>> year = rrule(YEARLY,dtstart=now,bymonth=8,bymonthday=13,byweekday=FR)[0].year\n >>> rdelta = relativedelta(easter(year), today)\n >>> print(\"Today is: %s\" % today)\n Today is: 2003-10-11\n >>> print(\"Year with next Aug 13th on a Friday is: %s\" % year)\n Year with next Aug 13th on a Friday is: 2004\n >>> print(\"How far is the Easter of that year: %s\" % rdelta)\n How far is the Easter of that year: relativedelta(months=+6)\n >>> print(\"And the Easter of that year is: %s\" % (today+rdelta))\n And the Easter of that year is: 2004-04-11\n\nBeing exactly 6 months ahead was **really** a coincidence :)\n\nContributing\n============\n\nWe welcome many types of contributions - bug reports, pull requests (code, infrastructure or documentation fixes). For more information about how to contribute to the project, see the ``CONTRIBUTING.md`` file in the repository.\n\n\nAuthor\n======\nThe dateutil module was written by Gustavo Niemeyer \nin 2003.\n\nIt is maintained by:\n\n* Gustavo Niemeyer 2003-2011\n* Tomi Pieviläinen 2012-2014\n* Yaron de Leeuw 2014-2016\n* Paul Ganssle 2015-\n\nStarting with version 2.4.1 and running until 2.8.2, all source and binary\ndistributions will be signed by a PGP key that has, at the very least, been\nsigned by the key which made the previous release. A table of release signing\nkeys can be found below:\n\n=========== ============================\nReleases Signing key fingerprint\n=========== ============================\n2.4.1-2.8.2 `6B49 ACBA DCF6 BD1C A206 67AB CD54 FCE3 D964 BEFB`_\n=========== ============================\n\nNew releases *may* have signed tags, but binary and source distributions\nuploaded to PyPI will no longer have GPG signatures attached.\n\nContact\n=======\nOur mailing list is available at `dateutil@python.org `_. As it is hosted by the PSF, it is subject to the `PSF code of\nconduct `_.\n\nLicense\n=======\n\nAll contributions after December 1, 2017 released under dual license - either `Apache 2.0 License `_ or the `BSD 3-Clause License `_. 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