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133 lines
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133 lines
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Metadata-Version: 2.1
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Name: networkx
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Version: 3.0
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Summary: Python package for creating and manipulating graphs and networks
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Home-page: https://networkx.org/
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Author: Aric Hagberg
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Author-email: hagberg@lanl.gov
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Maintainer: NetworkX Developers
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Maintainer-email: networkx-discuss@googlegroups.com
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Project-URL: Bug Tracker, https://github.com/networkx/networkx/issues
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Project-URL: Documentation, https://networkx.org/documentation/stable/
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Project-URL: Source Code, https://github.com/networkx/networkx
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Keywords: Networks,Graph Theory,Mathematics,network,graph,discrete mathematics,math
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Platform: Linux
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Platform: Mac OSX
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Platform: Windows
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Platform: Unix
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Science/Research
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
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Classifier: Topic :: Scientific/Engineering :: Information Analysis
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Classifier: Topic :: Scientific/Engineering :: Mathematics
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Classifier: Topic :: Scientific/Engineering :: Physics
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Requires-Python: >=3.8
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License-File: LICENSE.txt
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Provides-Extra: default
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Requires-Dist: numpy (>=1.20) ; extra == 'default'
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Requires-Dist: scipy (>=1.8) ; extra == 'default'
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Requires-Dist: matplotlib (>=3.4) ; extra == 'default'
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Requires-Dist: pandas (>=1.3) ; extra == 'default'
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Provides-Extra: developer
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Requires-Dist: pre-commit (>=2.20) ; extra == 'developer'
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Requires-Dist: mypy (>=0.991) ; extra == 'developer'
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Provides-Extra: doc
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Requires-Dist: sphinx (==5.2.3) ; extra == 'doc'
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Requires-Dist: pydata-sphinx-theme (>=0.11) ; extra == 'doc'
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Requires-Dist: sphinx-gallery (>=0.11) ; extra == 'doc'
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Requires-Dist: numpydoc (>=1.5) ; extra == 'doc'
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Requires-Dist: pillow (>=9.2) ; extra == 'doc'
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Requires-Dist: nb2plots (>=0.6) ; extra == 'doc'
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Requires-Dist: texext (>=0.6.7) ; extra == 'doc'
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Provides-Extra: extra
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Requires-Dist: lxml (>=4.6) ; extra == 'extra'
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Requires-Dist: pygraphviz (>=1.10) ; extra == 'extra'
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Requires-Dist: pydot (>=1.4.2) ; extra == 'extra'
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Requires-Dist: sympy (>=1.10) ; extra == 'extra'
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Provides-Extra: test
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Requires-Dist: pytest (>=7.2) ; extra == 'test'
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Requires-Dist: pytest-cov (>=4.0) ; extra == 'test'
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Requires-Dist: codecov (>=2.1) ; extra == 'test'
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NetworkX
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========
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.. image:: https://github.com/networkx/networkx/workflows/test/badge.svg?tag=networkx-3.0
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:target: https://github.com/networkx/networkx/actions?query=branch%3Anetworkx-3.0
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.. image:: https://codecov.io/gh/networkx/networkx/branch/main/graph/badge.svg
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:target: https://app.codecov.io/gh/networkx/networkx/branch/main
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.. image:: https://img.shields.io/github/labels/networkx/networkx/Good%20First%20Issue?color=green&label=Contribute%20&style=flat-square
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:target: https://github.com/networkx/networkx/issues?q=is%3Aopen+is%3Aissue+label%3A%22Good+First+Issue%22
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NetworkX is a Python package for the creation, manipulation,
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and study of the structure, dynamics, and functions
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of complex networks.
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- **Website (including documentation):** https://networkx.org
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- **Mailing list:** https://groups.google.com/forum/#!forum/networkx-discuss
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- **Source:** https://github.com/networkx/networkx
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- **Bug reports:** https://github.com/networkx/networkx/issues
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- **Report a security vulnerability:** https://tidelift.com/security
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- **Tutorial:** https://networkx.org/documentation/latest/tutorial.html
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- **GitHub Discussions:** https://github.com/networkx/networkx/discussions
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Simple example
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--------------
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Find the shortest path between two nodes in an undirected graph:
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.. code:: pycon
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>>> import networkx as nx
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>>> G = nx.Graph()
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>>> G.add_edge("A", "B", weight=4)
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>>> G.add_edge("B", "D", weight=2)
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>>> G.add_edge("A", "C", weight=3)
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>>> G.add_edge("C", "D", weight=4)
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>>> nx.shortest_path(G, "A", "D", weight="weight")
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['A', 'B', 'D']
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Install
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-------
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Install the latest version of NetworkX::
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$ pip install networkx
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Install with all optional dependencies::
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$ pip install networkx[all]
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For additional details, please see `INSTALL.rst`.
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Bugs
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----
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Please report any bugs that you find `here <https://github.com/networkx/networkx/issues>`_.
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Or, even better, fork the repository on `GitHub <https://github.com/networkx/networkx>`_
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and create a pull request (PR). We welcome all changes, big or small, and we
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will help you make the PR if you are new to `git` (just ask on the issue and/or
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see `CONTRIBUTING.rst`).
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License
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-------
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Released under the 3-Clause BSD license (see `LICENSE.txt`)::
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Copyright (C) 2004-2023 NetworkX Developers
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Aric Hagberg <hagberg@lanl.gov>
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Dan Schult <dschult@colgate.edu>
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Pieter Swart <swart@lanl.gov>
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