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numpydoc 1.8.0-1
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Metadata-Version: 2.1
Name: numpydoc
Version: 1.8.0
Summary: Sphinx extension to support docstrings in Numpy format
Author-email: Pauli Virtanen and others <pav@iki.fi>
License: Copyright (C) 2008-2023 Stefan van der Walt <stefan@mentat.za.net>, Pauli Virtanen <pav@iki.fi>
        
        Redistribution and use in source and binary forms, with or without
        modification, are permitted provided that the following conditions are
        met:
        
         1. Redistributions of source code must retain the above copyright
            notice, this list of conditions and the following disclaimer.
         2. Redistributions in binary form must reproduce the above copyright
            notice, this list of conditions and the following disclaimer in
            the documentation and/or other materials provided with the
            distribution.
        
        THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``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 AUTHOR 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.
        
Project-URL: Homepage, https://numpydoc.readthedocs.io
Project-URL: Source, https://github.com/numpy/numpydoc/
Keywords: sphinx,numpy
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Plugins
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
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: Topic :: Documentation
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
License-File: LICENSE.txt
Requires-Dist: sphinx>=6
Requires-Dist: tabulate>=0.8.10
Requires-Dist: tomli>=1.1.0; python_version < "3.11"
Provides-Extra: developer
Requires-Dist: pre-commit>=3.3; extra == "developer"
Requires-Dist: tomli; python_version < "3.11" and extra == "developer"
Provides-Extra: doc
Requires-Dist: numpy>=1.22; extra == "doc"
Requires-Dist: matplotlib>=3.5; extra == "doc"
Requires-Dist: pydata-sphinx-theme>=0.13.3; extra == "doc"
Requires-Dist: sphinx>=7; extra == "doc"
Requires-Dist: intersphinx_registry; extra == "doc"
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: matplotlib; extra == "test"

=====================================
numpydoc -- Numpy's Sphinx extensions
=====================================

.. image:: https://readthedocs.org/projects/numpydoc/badge/?version=latest
   :alt: Documentation Status
   :target: https://numpydoc.readthedocs.io/en/latest/

.. image:: https://codecov.io/gh/numpy/numpydoc/branch/main/graph/badge.svg
   :target: https://app.codecov.io/gh/numpy/numpydoc/branch/main

.. image:: https://github.com/numpy/numpydoc/actions/workflows/test.yml/badge.svg?branch=main
   :target: https://github.com/numpy/numpydoc/actions/workflows/test.yml

This package provides the ``numpydoc`` Sphinx extension for handling
docstrings formatted according to the NumPy documentation format.
The extension also adds the code description directives
``np:function``, ``np-c:function``, etc.

numpydoc requires Python 3.9+ and sphinx 6+.

For usage information, please refer to the `documentation
<https://numpydoc.readthedocs.io/>`_.

The `numpydoc docstring guide
<https://numpydoc.readthedocs.io/en/latest/format.html>`_ explains how
to write docs formatted for this extension, and the `user guide
<https://numpydoc.readthedocs.io>`_ explains how to use it with Sphinx.