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        "author": "Peter Bengtsson",
        "author_email": "mail@peterbe.com",
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            "Programming Language :: Python :: 2",
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        "description": "===================\njson-schema-reducer\n===================\n\n.. image:: https://travis-ci.org/peterbe/json-schema-reducer.svg?branch=master\n    :target: https://travis-ci.org/peterbe/json-schema-reducer\n\n.. image:: https://badge.fury.io/py/json-schema-reducer.svg\n    :target: https://pypi.python.org/pypi/json-schema-reducer\n\nExtract from a JSON/dict only whats in the JSON Schema. Assumes that the\nJSON/dict you supply is valid according to the JSON Schema you also supply.\n\n\nInstallation\n============\n\nSimple install with ``pip``::\n\n    pip install json-schema-reducer\n\nHow to use it\n=============\n\nSuppose you have two files on disk: ``schema.json`` and ``mything.json``.\nAnd suppose that the ``schema.json`` only lists the properties ``foo`` and\n``bar`` but the file ``mything.json`` contains many more things::\n\n    >>> from json_schema_reducer import make_reduced_dict\n    >>> make_reduced_dict('schema.json', 'mything.json')\n    {'foo': 'value1', 'bar': 'value2'}\n\nThe arguments are flexible. You can also do this::\n\n    >>> make_reduced_dict(open('schema.json'), open('mything.json'))\n\nOr this::\n\n    >>> make_reduced_dict(open('schema.json').read(), open('mything.json').read())\n\nOr this::\n\n    >>> make_reduced_dict(\n    ...   json.load(open('schema.json')),\n    ...   json.load(open('mything.json')))\n\n\nRunnings tests\n==============\n\nSimply run::\n\n    python setup.py test\n\n\nVersion History\n===============\n\n0.1.4\n  * Universal wheel\n\n0.1.3\n  * Better, but basic, cli (e.g. ``--help``)\n  * Support for optional nested keys\n\n0.1.2\n  * Correct README restructured text\n\n0.1.1\n  * Tidying up loose ends\n\n0.1.0\n  * First, hopefully, working version.",
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        "license": "MIT",
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        "name": "json-schema-reducer",
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