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        "description": "============\n Procrustes\n============\n\nProcrustes is a validation library, suitable for validating user input data,\ni.e. web forms or API calls. With procrustes you can validate any structure.\n\nFor doing this procrustes has three container classes - Tuple, List and Dict.\nTuple come from FP, has fixed count of elements with fixed types.\nList can include any amount of values of one type.\nAnd Dict is a dict.\n\n\nProcrustes consist of validators and forms. You can use validators without\nforms functionality. Forms adds mainly widgets and form data parsing.\n\n\nValidators\n~~~~~~~~~~\n\nMost simple what you can to do with procrustes is build validator and use it:\n\n    >>> from procrustes import validators as v\n    >>> two_strings_v = v.Tuple(v.String(), v.String())\n    >>> auth = two_strings_v(['login', 'password'])\n    >>> auth.data\n    ('login', 'password')\n    >>> auth.errors\n    []\n    >>> auth = two_strings_v(['login'])\n    >>> auth.data\n    >>> auth.errors\n    ['Must be iterable of length 2']\n\nWe have very powerful `List`:\n\n    >>> list_of_pairs_v = v.List(two_strings_v)\n    >>> pairs = list_of_pairs_v([(str(x), str(x)) for x in xrange(10)])\n    >>> pairs.data\n    [('0', '0'), ('1', '1'), ('2', '2'), ('3', '3'), ('4', '4'), ('5', '5'), ('6', '6'), ('7', '7'), ('8', '8'), ('9', '9')]\n    >>> pairs.errors\n    []\n\n`List`, `Tuple` and `Dict` are recursive, so you can build any data structure you want.\n\n`Dict` example:\n\n    >>> dict_v = v.Dict({'pair': two_strings_v, 'pairs': list_of_pairs_v})\n    >>> data = dict_v({'pair': ['a', 'b'], 'pairs': [['a', 'b'], ['c', 'd']]})\n    >>> data.data\n    {'pair': ('a', 'b'), 'pairs': [('a', 'b'), ('c', 'd')]}\n    >>> data.errors\n    []\n\nValidators have `required` keyword argument:\n\n    >>> two_strings_v = v.Tuple(v.String(), v.String(), required=False)\n    >>> dict_v = v.Dict({'pair': two_strings_v, 'pairs': list_of_pairs_v})\n    >>> data = dict_v({'pairs': [['a', 'b'], ['c', 'd']]})\n    >>> data.data\n    {'pair': None, 'pairs': [('a', 'b'), ('c', 'd')]}\n    >>> data.errors\n    []\n\nFlat\n~~~~\n\nProcrustes can `flat` data:\n\n    >>> list(data.flatten())\n    [('pairs__0__0', 'a'), ('pairs__0__1', 'b'), ('pairs__1__0', 'c'), ('pairs__1__1', 'd')]\n\nAnd unflat it back:\n\n    >>> dict_v.deepen(dict([('pairs__0__0', 'a'), ('pairs__0__1', 'b'), ('pairs__1__0', 'c'), ('pairs__1__1', 'd')]))\n    {'pair': (None, None), 'pairs': [('c', 'd'), ('a', 'b')]}\n\n\nForms\n~~~~~\n\nForms derived from validators and implemented as mixins to them. Every Field\ncan work as form. Your form may consist from one `forms.String()`.\nIn addition to validators forms adds methods `widgets`, `template_widgets`,\n`unflat` and `is_valid`.",
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