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            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
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'age':  And(Use(int), lambda n: 18 <= n <= 99),\n    ...                   Optional('sex'): And(str, Use(str.lower),\n    ...                                        lambda s: s in ('male', 'female'))}])\n\n    >>> data = [{'name': 'Sue', 'age': '28', 'sex': 'FEMALE'},\n    ...         {'name': 'Sam', 'age': '42'},\n    ...         {'name': 'Sacha', 'age': '20', 'sex': 'Male'}]\n\n    >>> validated = validator.validate(data)\n\n    >>> assert validated == [{'name': 'Sue', 'age': 28, 'sex': 'female'},\n    ...                      {'name': 'Sam', 'age': 42},\n    ...                      {'name': 'Sacha', 'age' : 20, 'sex': 'male'}]\n\n\nIf data is valid, ``Validator(some schema).validate`` will return the validated data\n(optionally converted with `Use` calls, see below).\n\n** Note: Since PyValidator is a drop-in replacement of Python Schema,\n        See https://github.com/keleshev/schema for more usage examples.**\n\nPyValidator vs Python Schema\n--------------------------------------------------------------------\n\nPython Schema emits SchemaError that can contain at most 1 type of error,\nand its output is not very helpful in programming to handle errors.\n\nOn the other hand, PyValidator emits an \"ErrorBucket\" that shows all the errors,\nalong with fully-traversible structures for programs to use.\n\nEnough with that long-talk, and here's a demo of python schema:\n\n.. code:: python\n\n    >>> from schema import Schema, Optional\n    >>> sc = Schema({\n    ...     'wow':'so schema',\n    ...     'such':'validation',\n    ...     'string!!!': str,\n    ...     Optional('so int'): int})\n    >>> try:\n    ...     sc.validate({'so int': 'NOT int'})\n    ... except Exception as e:\n    ...     error = e\n    >>> error\n    SchemaError(\"'NOT int' should be instance of <type 'int'>\",)\n    >>> dir(error)\n    [ ... , 'args', 'autos', 'code', 'errors', 'message']\n    >>> error.args\n    [None]\n    >>> e.autos\n    [\"'NOT int' should be instance of <type 'int'>\"] #string...\n\nPyValidator's output demo:\n\n.. code:: python\n\n    >>> from pyvalidator import Validator, Optional\n    >>> sc = Validator({\n    ...     'wow':'so schema',\n    ...     'such':'validation',\n    ...     'string!!!': str,\n    ...     Optional('so int'): int})\n    >>> try:\n    ...     sc.validate({'so int': 'NOT int'})\n    ... except Exception as e:\n    ...     error = e\n    >>> error\n    Generic Errors:\n    {'wrong_type': {'so int': [Wrong Type: got str instead of int]}, 'missing_key': {'such': [Missing Key: such => validation], 'wow': [Missing Ke\n    y: wow => so schema], 'string!!!': [Missing Key: string!!! => <type 'str'>]}}\n\n    Custom Errors:\n    []\n\n    >>> error.errors # note: all errors are preserved.\n    {'wrong_type': {'so int': [Wrong Type: got str instead of int]}, 'missing_key': {'such': [Missing Key: such => validation], 'wow': [Missing Ke\n    y: wow => so schema], 'string!!!': [Missing Key: string!!! => <type 'str'>]}}\n    >>> error.error_count\n    4\n    >>> error.errors['missing_key']  #needs formatting...\n    {'such': [Missing Key: such => validation], 'wow': [Missing Key: wow => so schema], 'string!!!': [Missing Key: string!!! => <type 'str'>]}\n    >>> type(error.errors['missing_key']['such'])\n    <class 'pyvalidator._errorbucketnode._ErrorBucketNode'>\n    >>> # Note: There's room for improvement here...\n    >>> error.errors['missing_key']['such'].errors[0]\n    Missing Key: such => validation\n    >>> dir(error.errors['missing_key']['such'].errors[0])\n    [ ..., 'args', 'data', 'error_name', 'key', 'message']\n    >>> error.errors['missing_key']['such'].errors[0].key\n    'such'\n    >>> error.errors['missing_key']['such'].errors[0].error_name\n    'missing_key'\n    >>> error.errors['missing_key']['such'].errors[0].data\n    'validation'\n\nRationale for _ErrorBucketNode instead of dict / list\n------------------------------------------------------------------------\n\n\n** Any suggestion for _ErrorBucketNode is welcome :)\n   (_ErrorBucketNode itself is somewhat ugly) **\n\n\nInstallation\n-------------------------------------------------------------------------------\n\nUse `pip <http://pip-installer.org>`_ or easy_install::\n\n    pip install pyvalidator\n\n- **pyvalidator** is tested with Python 2.6, 2.7, and 3.x\n- **pyvalitator** follows `semantic versioning <http://semver.org>`_.",
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