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        "author": "Scott Hamilton",
        "author_email": "mcleopold@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Other Environment",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Games/Entertainment",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "======\nskills\n======\n\nThis is a Python port of the Moserware.Skills project that's available at\n\nhttp://github.com/moserware/Skills\n\nFor more details on how the algorithm works, see \n\nhttp://www.moserware.com/2010/03/computing-your-skill.html\n\nTo install run the command::\n\n    pip install skills\n\nThe match quality function of TrueSkill will run much faster with NumPy than with the provided matrix implementation.  Install with::\n\n    pip install numpy\n\nFor details on how to use this project, see the accompanying unit tests with\nthis project.  You can run the tests by running the commands::\n\n    # test all calculators\n    python -m unittest discover\n\n    # test just the elo calculator\n    python -m unittest skills.testsuite.test_elo\n\n\nCalculator Objects\n==================\n\nThese objects should be created and passed into the calculators.  Most of these\nobjects will also except python tuples or lists and automatically create the\ncorrect objects.\n\nPlayer\n------\n\nPlayer is an object with a player_id (anything that is hashable) and some\npartial play info.  Partial play is used for TrueSkill only.::\n\n    Player(1)\n\n    Player(\"Alice\")\n\nRating\n------\n\nRating is an object with a mean.  GaussianRating includes a stdev and is used\nfor the TrueSkill and Glicko calculators.  EloRating includes a k_factor and is\nused for the Elo calculator.::\n\n    Rating(100)\n\n    GaussianRating(25.0, 8.333)\n\n    EloRating(1200, 32)\n\nRatingFactory creates a new Rating object of whatever type is needed.\nRatingFactory.rating_class can be set to the Rating class desired.\nInstantiating one of the calculators will set RatingFactory.rating_class\nautomatically.::\n\n    RatingFactory.rating_class = GaussianRating\n    RatingFactory.ensure_rating((25.0, 8.333))\n\nTeam\n----\n\nTeam is a dictionary of Player objects mapped to Rating objects.  The objects\nkeys method maps to players, values maps to ratings and items maps to\nplayer_rating.  The constructor can take a dictionary of player to ratings or a\nlist of player, rating tuples to create a multi-player team.::\n\n    Team({1: (25.0, 8.333),\n          2: (25.0, 8.333)})\n\n    Team([(1, (25.0, 8.333)),\n          (2, (25.0, 8.333))])\n\nThe Team object has convenience functions to find a player or rating by the\nPlayer object's player_id property.::\n\n    Team.rating_by_id(1)\n\nMatch\n-----\n\nMatch is a list of teams and a ranking for each team.  It inherets from list and\nincludes a rank property, so regular lists can *not* be substituted.::\n\n    Match([Team1, Team2], [1, 2])\n\nThe constructor is a convenience function that will call ensure team on each\nteam object passed in.  This allows for easy object construction.::\n\n    Match( [(Player1, Rating1),\n            (Player2, Rating2)],\n           [1, 2] )\n\nThe Match object has convenience functions to find a player or rating in any\nTeam object by the Player object's player_id property.::\n\n    Match.rating_by_id(1)\n\nMatch is synonomous with teams.\n\nMatches\n-------\n\nMatches is a list of Match objects.  It inherits from list and a regular\nsequence type can be substituted for it.::\n\n    Matches([Match1, Match2])\n\nThe constructor is a convenience function that will call ensure_match for each\nobject in the list.  This allows for easy object construction.::\n\n    Matches([ ([Team1, Team2], [1, 2]),\n              ([Team2, Team3], [1, 2]) ])\n\nThe following is syntax that uses only tuples and lists to generate a list of\nMatches:::\n\n    Matches([([[(1, 1200)],\n               [(2, 1200)]],\n              [1, 2]),\n             ([(2, 1200),\n               (3, 1200)],\n              [1, 2])])\n\n    [Match([{Player(1): Rating(1200.0)}, {Player(2): Rating(1200.0)}],\n            rank=[1, 2]),\n     Match([{Player(2): Rating(1200.0)}, {Player(3): Rating(1200.0)}],\n            rank=[1, 2])]",
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        "home_page": "http://github.com/McLeopold/PythonSkills/",
        "keywords": "skill trueskill glicko elo",
        "license": "BSD",
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        "maintainer_email": null,
        "name": "skills",
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        "summary": "Implementation of the TrueSkill, Glicko and Elo Ranking Algorithms",
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