{
    "info": {
        "author": "Tim McNamara",
        "author_email": "paperless@timmcnamara.co.nz",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "The ``PDist`` is designed to make it easy to make it easy to make \r\nthings happen in a probablistic manner. Provide keys with an \r\nassociated probability attached, and then call the resulting\r\nobject when you need a new value.\r\n\r\n    >>> mood = PDist({'happy': 0.3, 'neutral': 0.6, 'sad': 0.1})\r\n    >>> mood()\r\n    'happy'\r\n    >>> mood()\r\n    'neutral'\r\n\r\nYou can retrieve the distribution of how those values are applied\r\nby accessing the ``PDist.distribution`` attribute:\r\n\r\n    >>> mood.distribution\r\n    [('happy', 0.3), ('neutral', 0.6), ('sad', 0.1)]\r\n\r\nAs well as providing a dict to assign probabilities, you can\r\nsend in a list of lists/tuples. This allows for for non-hashable\r\ntypes to be used. This means that you provide objects such as \r\nfunctions to be used as keys:\r\n\r\n  >>> def grumpy(news):\r\n  ...    return ':/'\r\n  >>> def happy(news):\r\n  ...    return ':)'\r\n  >>> react = PDist([(grumpy, 0.7), (happy, 0.3)])\r\n  >>> reaction = react()\r\n  >>> reaction(\"We're getting married!\")\r\n  ':/'\r\n\r\nYou are not restricted to adding your input variables up to 1. For\r\nexample, if you only have a tally chart, and wish to calculate a probability distribution from that sample, you can provide that too:\r\n\r\n   >>> spotted = {'geese': 0, 'ducks': 12, 'sparrows': 4, 'other': 39}\r\n   >>> bird_pdist = PDist(spotted)\r\n   >>> bird_pdist.distribution\r\n   [('geese', 0.0), ('sparrows', 0.07272727272727272), ('ducks', 0.21818181818181817), ('other', 0.7090909090909091)]\r\n\r\nRetrieving the probability of a particular key is supported. However,\r\nthe search strategy is very inefficient and probably shouldn't be used\r\noutside of the interactive Python shell.\r\n\r\n    >>> bird_pdist['geese']\r\n    0.0",
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        "keywords": "",
        "license": "Apache 2.0",
        "maintainer": "",
        "maintainer_email": "",
        "name": "choices",
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        "summary": "Making choices from a probability distribution",
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