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    "info": {
        "author": "John Mecham",
        "author_email": "jon.mecham@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Games/Entertainment :: Board Games"
        ],
        "description": "pykhet: a library for the board game khet\r\n=========================================\r\n\r\n.. image:: https://travis-ci.org/TheWiseLion/pykhet.svg?branch=master\r\n    :target: https://travis-ci.org/TheWiseLion/pykhet.svg?branch=master\r\n\r\n\r\nIntroduction\r\n------------\r\n\r\nThe Khet board game logic and structures implemented in python. Also exposes adversarial search based algorithms.\r\n\r\n.. code-block:: python\r\n\r\n    from pykhet.components.types import TeamColor\r\n    from pykhet.games.game_types import ClassicGame\r\n    import random\r\n    from pykhet.solvers.minmax import MinmaxSolver\r\n\r\n    # Create a game with classic piece placement\r\n    game = ClassicGame()\r\n\r\n    # Get all valid silver moves\r\n    silver_moves = game.get_available_moves(TeamColor.silver)\r\n\r\n    # Randomly Play One\r\n    game.apply_move(random.choice(silver_moves))\r\n\r\n    # Finish the turn by applying the laser\r\n    game.apply_laser(TeamColor.silver)\r\n\r\n    # Use adversarial search to pick a move\r\n    solver = MinmaxSolver()\r\n    move = solver.get_move(game, TeamColor.red)\r\n    game.apply_move(move)\r\n    game.apply_laser(TeamColor.red)\r\n\r\n\r\nSerialization\r\n-------------\r\nThere is ample support to serializing the state of objects as dictionaries. Useful for easy storage as json.\r\n\r\n.. code-block:: python\r\n\r\n    from pykhet.components.types import TeamColor, Piece\r\n    from pykhet.games.game_types import ClassicGame\r\n    import random\r\n    from pykhet.solvers.minmax import MinmaxSolver\r\n\r\n    # Create a game with classic piece placement\r\n    game = ClassicGame()\r\n\r\n    # Serialize the board (list of serialized piece positions, orientations, and colors)\r\n    squares = game.to_serialized_squares()\r\n\r\n    # Deserialize the board\r\n    Game.from_serialized_squares(squares)\r\n\r\n    # Serialize a pieces\r\n    p1 = Piece(PieceType.scarab, TeamColor.silver, Orientation.down).to_dictionary()\r\n    # Deserialize a piece\r\n    same_piece = Piece.from_dictionary(p1)\r\n\r\n\r\nBoard Layout\r\n------------\r\n\r\nThe khet board and piece layout is represented below:\r\n\r\n.. image:: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/board-khet.png\r\n    :target: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/board-khet.png\r\n\r\nAdversarial Search\r\n------------------\r\n\r\nProvided is a very basic adversarial search algorithm that works with a low number of iterations.\r\n\r\n.. image:: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/Iter1.png\r\n    :target: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/Iter1.png\r\n\r\n.. image:: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/Iter2.png\r\n    :target: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/Iter2.png\r\n\r\n.. image:: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/Iter3.png\r\n    :target: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/Iter3.png\r\n\r\n.. image:: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/Iter4.png\r\n    :target: https://raw.githubusercontent.com/TheWiseLion/pykhet/master/docs/Iter4.png",
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