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            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "[![CircleCI](https://circleci.com/gh/somacdivad/grinpy.svg?style=svg)](https://circleci.com/gh/somacdivad/grinpy) [![Documentation Status](https://readthedocs.org/projects/grinpy/badge/)](http://grinpy.readthedocs.io/en/latest/) [![BCH compliance](https://bettercodehub.com/edge/badge/somacdivad/grinpy)](https://bettercodehub.com/) [![codecov](https://codecov.io/gh/somacdivad/grinpy/branch/master/graph/badge.svg)](https://codecov.io/gh/somacdivad/grinpy)  [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black) [![PyPI version](https://badge.fury.io/py/grinpy.svg)](https://badge.fury.io/py/grinpy)\n\n# GrinPy\n*A NetworkX extension for calculating graph invariants.*\n\n### What is it?\nGrinPy is an extension for NetworkX used for calculating graph invariants of\nsimple graphs.\n\nNP-hard invariants included are:\n\n* Chromatic number\n* Clique number\n* Independence number\n* Domination number\n* Total domination number\n* Connected domination number\n* Independent domination number\n* Power domination number\n* Zero forcing number\n* Total zero forcing number\n* Connected zero forcing number\n* Minimum maximal matching number\n* Generalized *k* versions of almost all of the above invariants\n\nOther invariants included are:\n\n* Annihilation number\n* Matching number\n* Residue\n* Slater number\n* Sub-*k*-domination number\n* Topological indices, like the Randi\u0107 and Zagreb indices\n\nIn addition to the graph invariants listed above, we have included some\nsimple checks for structural properties of a graph:\n\n* `is_triangle_free`\n* `is_bull_free`\n* `is_claw_free`\n\n### How do I use it?\nFull documentation is available at [https://grinpy.rtfd.io](https://grinpy.rtfd.io).\n\nYou can install GrinPy from the command line with `pip`:\n\n```\npip install grinpy\n```\n\nHere is a sample of how to calculate the independence number:\n```python\n>>> import grinpy as gp\n>>> G = gp.petersen_graph()\n>>> gp.independence_number(G)\n4\n```\n\nGrinPy automatically imports [NetworkX](https://github.com/networkx/networkx) and provides all of the NetworkX classes and methods in the same interface.\n\n### Why does it exist?\nThe motivation for this project is to filter a database of graphs into an\nordered tree of subsets. This database will be used in an experimental automated\nconjecturing program. In creating the required packages for this database, we\nrealized that a Python package for calculating graph invariants would be\nuseful for professional research and for graph theory education.\n\n### License\nReleased under the 3-Clause BSD license (see `LICENSE.txt`):\n\n    Copyright (C) 2017-2019 GrinPy Developers\n    David Amos <somacdivad@gmail.com>\n    Randy Davila <davilar@uhd.edu>\n\n\n",
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