{
    "info": {
        "author": "Phoenix Zerin",
        "author_email": "phoenix.zerin@eflglobal.com",
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Text Processing :: Filters"
        ],
        "description": ".. image:: https://travis-ci.org/eflglobal/filters.svg?branch=master\n   :target: https://travis-ci.org/eflglobal/filters\n.. image:: https://readthedocs.org/projects/filters/badge/?version=latest\n   :target: http://filters.readthedocs.io/\n\n=======\nFilters\n=======\nThe Filters library provides an easy and readable way to create complex\ndata validation and processing pipelines, including:\n\n- Validating complex JSON structures in API requests or config files.\n- Parsing timestamps and converting to UTC.\n- Converting Unicode strings to NFC, normalizing line endings and removing\n  unprintable characters.\n- Decoding Base64, including URL-safe variants.\n\nAnd much more!\n\nThe output from one filter can be \"piped\" into the input of another, enabling\nyou to \"chain\" filters together to quickly and easily create complex data\npipelines.\n\nExamples\n========\nValidate a latitude position and round to manageable precision:\n\n.. code:: python\n\n   (\n       f.Required\n     | f.Decimal\n     | f.Min(Decimal(-90))\n     | f.Max(Decimal(90))\n     | f.Round(to_nearest='0.000001')\n   ).apply('-12.0431842')\n\nParse an incoming value as a datetime, convert to UTC and strip tzinfo:\n\n.. code:: python\n\n   f.Datetime(naive=True).apply('2015-04-08T15:11:22-05:00')\n\nConvert every value in an iterable (e.g., list) to unicode and strip\nleading/trailing whitespace.\nThis also applies `Unicode normalization`_, strips unprintable characters and\nnormalizes line endings automatically.\n\n.. code:: python\n\n   f.FilterRepeater(f.Unicode | f.Strip).apply([\n     b'\\xe2\\x99\\xaa ',\n     b'\\xe2\\x94\\x8f(\\xc2\\xb0.\\xc2\\xb0)\\xe2\\x94\\x9b ',\n     b'\\xe2\\x94\\x97(\\xc2\\xb0.\\xc2\\xb0)\\xe2\\x94\\x93 ',\n     b'\\xe2\\x99\\xaa ',\n   ])\n\nParse a JSON string and check that it has correct structure:\n\n.. code:: python\n\n   (\n       f.JsonDecode\n     | f.FilterMapper(\n         {\n           'birthday':  f.Date,\n           'gender':    f.CaseFold | f.Choice(choices={'m', 'f', 'x'}),\n\n           'utcOffset':\n               f.Decimal\n             | f.Min(Decimal('-15'))\n             | f.Max(Decimal('+15'))\n             | f.Round(to_nearest='0.25'),\n         },\n\n         allow_extra_keys   = False,\n         allow_missing_keys = False,\n       )\n   ).apply('{\"birthday\":\"1879-03-14\", \"gender\":\"M\", \"utcOffset\":\"1\"}')\n\n============\nRequirements\n============\nFilters is compatible with Python versions 3.6, 3.5 and 2.7.\n\n============\nInstallation\n============\nInstall the latest stable version via pip::\n\n    pip install filters\n\nExtensions\n==========\nThe following extensions are available:\n\n- `Django Filters`_: Adds filters designed to work with Django applications.\n  To install::\n\n      pip install filters[django]\n\n- `ISO Filters`_: Adds filters for interpreting standard codes and identifiers.\n  To install::\n\n      pip install filters[iso]\n\n.. _Django Filters: https://pypi.python.org/pypi/filters-django\n.. _ISO Filters: https://pypi.python.org/pypi/filters-iso\n.. _Unicode normalization: https://en.wikipedia.org/wiki/Unicode_equivalence\n\n\n",
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