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        "author": "Brent Tubbs",
        "author_email": "brent.tubbs@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5"
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        "description": "Varsity\n=======\n\nVarsity helps you define your application's settings, read them from\nenvironment variables, parse them into native Python types, and validate\nthem.\n\nLoad a simple string\n--------------------\n\nAssume the FOO environment variable as been set to '3'. After setting up\nthe loader and calling its .load() method, we get back a dictionary with\na key for each setting we've added to the loader.\n\n::\n\n    >>> from varsity import Loader\n    >>> l = Loader()\n    >>> l.add('FOO')\n    >>> settings = l.load()\n    >>> settings.FOO\n    '3'\n\nIf you want to use a different name for the setting within Python, you\ncan provide your own.\n\n::\n\n    >>> l.add('FOO', 'foo')\n    >>> settings = l.load()\n    >>> settings.foo\n    '3'\n\nThe object returned from .load() also provides dictionary-style access\nto settings.\n\n::\n\n    >>> settings['foo']\n    '3'\n\nYou can provide a 'typ' callable that will be used to convert the\nenvironment variable string into the type of your choice.\n\n::\n\n    >>> l.add('FOO', 'foo', typ=int)\n    >>> settings = l.load()\n    >>> settings.foo\n    3\n\nYou can provide defaults that will be returned if the environment\nvariable is not present.\n\n::\n\n    >>> l.add('SOME_UNSET_VAR', default=0)\n    >>> settings = l.load()\n    >>> settings.SOME_UNSET_VAR\n    0\n\nIf you don't provide a default, and the environment variable is not set,\nValueError will be raised.\n\nYou can provide your own callable as the 'typ' argument. Assume the\n'TODAY' environment variable is set to '2016-05-05'.\n\n::\n\n    >>> from varsity import Loader\n    >>> from iso8601 import parse_date\n    >>> l = Loader()\n    >>> l.add('TODAY', 'today', typ=lambda x: parse_date(x).date())\n    >>> settings = l.load()\n    >>> settings.today\n    datetime.date(2016, 5, 5)\n\nIf you don't provide a 'typ', but you do provide a default, then the\nenvironment variable will be cast to the same type as the default. (Here\nwe get back an int 3 instead of the string '3', because the default is\nan int.)\n\n::\n\n    >>> l.add('FOO', 'foo', default=0)\n    >>> settings = l.load()\n    >>> settings.foo\n    3\n\nIf you access a setting with the attribute-style syntax, then nested\ndictionaries can also be accessed with that syntax. In this example, the\nFOO environment variable is set to '{\"bar\": {\"baz\": 1.23}}'\n\n::\n\n    >>> l.add('FOO', 'foo', typ=json.loads)\n    >>> settings = l.load()\n    >>> settings.foo.bar.baz\n    1.23",
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        "license": "BSD",
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        "name": "varsity",
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