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        "author": "Tyler Singer-Clark",
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        "description": "Graphpy\n=======\n\n.. image:: https://travis-ci.org/tscizzle/graphpy.svg?branch=master\n    :target: https://travis-ci.org/tscizzle/graphpy\n\n.. image:: http://readthedocs.org/projects/graphpy/badge/?version=latest\n    :target: http://graphpy.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n.. image:: https://coveralls.io/repos/github/tscizzle/graphpy/badge.svg?branch=master\n    :target: https://coveralls.io/github/tscizzle/graphpy?branch=master\n\n.. image:: https://badge.fury.io/py/graphpy.svg\n    :target: https://badge.fury.io/py/graphpy\n\nA Python implementation of edges, vertices, and graphs\n\n\nUse\n---\n\nThere are two types of each object: ``Undirected`` and ``Directed``.\n\nTo begin, import one of the graph classes::\n\n    from graphpy.graph import UndirectedGraph\n\nand create a graph from a dictionary of vertex vals::\n\n    # graph with vertices 'v0' and 'v1', with an edge between them\n\n    g = UndirectedGraph.from_dict({'v0': [('v1',)],\n                                   'v1': []})\n\nor from a list of vertices and a list of edges::\n\n    g = UndirectedGraph.from_lists([('v0',), ('v1',)],\n                                   [('v0', 'v1')])\n\nYou can also initialize a graph, then add vertices and edges::\n\n    g = UndirectedGraph()\n\n    g.add_vertex('v0')\n    g.add_vertex('v1')\n    g.add_edge(('v0', 'v1'))\n\nA vertex's val can be any hashable object, like a string, int, tuple, etc.::\n\n    # graph with vertices 'v0', 1, and (2, 2), with some edges\n\n    g = UndirectedGraph.from_dict({'v0': [(1,)],\n                                   1: [('v0',), ((2, 2),)],\n                                   (2, 2): [(1,)]})\n\nRetrieve vertex and edge objects::\n\n    # v is an UndirectedVertex object, and e is an UndirectedEdge object\n\n    v = g.get_vertex('v0')\n    print v.degree\n\n    e = g.get_edge(('v0', 'v1'))\n    print e.vertices\n\nIterate through a graph's vertices::\n\n    for v in g:\n        print v\n\nPerform graph algorithms, such as search::\n\n    paths = g.search(start='v0', method='depth_first')\n    print paths\n\nCreate graphs with vertices and edges that have whatever attributes you want (for example, edge weights)::\n\n    g = UndirectedGraph.from_lists([('v0', {'city': 'Paris'}), ('v1', {'city': 'London'})],\n                                   [('v0', 'v1', {'weight': 5})])\n\n>From there, use graphs to model situations, implement more graph algorithms, and whatever else you desire. And, as always, have fun!\n\n(The tests found on Github at https://github.com/tscizzle/graphpy/tree/master/tests give many more examples and showcase the rest of the library's functionality.)\n\nDocumentation\n-------------\n\nFind the full documentation at: http://graphpy.readthedocs.org/en/latest\n\nInstallation\n------------\n\nIf you don't have pip, get pip at: https://pip.pypa.io/en/stable/installing\n\nRun the command ``pip install graphpy`` in your terminal to get the graphpy library.\n\nTo test your installation, start a Python interpreter with the ``python`` command in your terminal and make sure you can run ``import graphpy`` in it without getting an error.\n\nContribute\n----------\n\nFind the code on Github at: https://github.com/tscizzle/graphpy\n\nSupport\n-------\n\nContact me (Tyler Singer-Clark) at tscizzle@gmail.com with any questions or concerns.\n\nLicense\n-------\n\nThe project is licensed under the MIT license.",
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