ai-content-maker/.venv/Lib/site-packages/networkx-2.8.8.dist-info/METADATA

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Metadata-Version: 2.1
Name: networkx
Version: 2.8.8
Summary: Python package for creating and manipulating graphs and networks
Home-page: https://networkx.org/
Author: Aric Hagberg
Author-email: hagberg@lanl.gov
Maintainer: NetworkX Developers
Maintainer-email: networkx-discuss@googlegroups.com
Project-URL: Bug Tracker, https://github.com/networkx/networkx/issues
Project-URL: Documentation, https://networkx.org/documentation/stable/
Project-URL: Source Code, https://github.com/networkx/networkx
Keywords: Networks,Graph Theory,Mathematics,network,graph,discrete mathematics,math
Platform: Linux
Platform: Mac OSX
Platform: Windows
Platform: Unix
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
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 :: Only
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.8
License-File: LICENSE.txt
Provides-Extra: default
Requires-Dist: numpy (>=1.19) ; extra == 'default'
Requires-Dist: scipy (>=1.8) ; extra == 'default'
Requires-Dist: matplotlib (>=3.4) ; extra == 'default'
Requires-Dist: pandas (>=1.3) ; extra == 'default'
Provides-Extra: developer
Requires-Dist: pre-commit (>=2.20) ; extra == 'developer'
Requires-Dist: mypy (>=0.982) ; extra == 'developer'
Provides-Extra: doc
Requires-Dist: sphinx (>=5.2) ; extra == 'doc'
Requires-Dist: pydata-sphinx-theme (>=0.11) ; extra == 'doc'
Requires-Dist: sphinx-gallery (>=0.11) ; extra == 'doc'
Requires-Dist: numpydoc (>=1.5) ; extra == 'doc'
Requires-Dist: pillow (>=9.2) ; extra == 'doc'
Requires-Dist: nb2plots (>=0.6) ; extra == 'doc'
Requires-Dist: texext (>=0.6.6) ; extra == 'doc'
Provides-Extra: extra
Requires-Dist: lxml (>=4.6) ; extra == 'extra'
Requires-Dist: pygraphviz (>=1.9) ; extra == 'extra'
Requires-Dist: pydot (>=1.4.2) ; extra == 'extra'
Requires-Dist: sympy (>=1.10) ; extra == 'extra'
Provides-Extra: test
Requires-Dist: pytest (>=7.2) ; extra == 'test'
Requires-Dist: pytest-cov (>=4.0) ; extra == 'test'
Requires-Dist: codecov (>=2.1) ; extra == 'test'
NetworkX
========
.. image:: https://github.com/networkx/networkx/workflows/test/badge.svg?tag=networkx-2.8.8
:target: https://github.com/networkx/networkx/actions?query=branch%3Anetworkx-2.8.8
.. image:: https://codecov.io/gh/networkx/networkx/branch/main/graph/badge.svg
:target: https://app.codecov.io/gh/networkx/networkx/branch/main
.. image:: https://img.shields.io/github/labels/networkx/networkx/Good%20First%20Issue?color=green&label=Contribute%20&style=flat-square
:target: https://github.com/networkx/networkx/issues?q=is%3Aopen+is%3Aissue+label%3A%22Good+First+Issue%22
NetworkX is a Python package for the creation, manipulation,
and study of the structure, dynamics, and functions
of complex networks.
- **Website (including documentation):** https://networkx.org
- **Mailing list:** https://groups.google.com/forum/#!forum/networkx-discuss
- **Source:** https://github.com/networkx/networkx
- **Bug reports:** https://github.com/networkx/networkx/issues
- **Report a security vulnerability:** https://tidelift.com/security
- **Tutorial:** https://networkx.org/documentation/latest/tutorial.html
- **GitHub Discussions:** https://github.com/networkx/networkx/discussions
Simple example
--------------
Find the shortest path between two nodes in an undirected graph:
.. code:: pycon
>>> import networkx as nx
>>> G = nx.Graph()
>>> G.add_edge("A", "B", weight=4)
>>> G.add_edge("B", "D", weight=2)
>>> G.add_edge("A", "C", weight=3)
>>> G.add_edge("C", "D", weight=4)
>>> nx.shortest_path(G, "A", "D", weight="weight")
['A', 'B', 'D']
Install
-------
Install the latest version of NetworkX::
$ pip install networkx
Install with all optional dependencies::
$ pip install networkx[all]
For additional details, please see `INSTALL.rst`.
Bugs
----
Please report any bugs that you find `here <https://github.com/networkx/networkx/issues>`_.
Or, even better, fork the repository on `GitHub <https://github.com/networkx/networkx>`_
and create a pull request (PR). We welcome all changes, big or small, and we
will help you make the PR if you are new to `git` (just ask on the issue and/or
see `CONTRIBUTING.rst`).
License
-------
Released under the 3-Clause BSD license (see `LICENSE.txt`)::
Copyright (C) 2004-2022 NetworkX Developers
Aric Hagberg <hagberg@lanl.gov>
Dan Schult <dschult@colgate.edu>
Pieter Swart <swart@lanl.gov>