Metadata-Version: 2.4
Name: numpydoc
Version: 1.10.0
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>
        
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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 :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Documentation
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE.txt
Requires-Dist: sphinx>=6
Requires-Dist: tomli>=1.1.0; python_version < "3.11"
Dynamic: license-file

=====================================
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 3.10+ 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.
