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        "author": "Olivier Carrere",
        "author_email": "olivier.carrere@gmail.com",
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            "Programming Language :: Python",
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            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Utilities"
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        "description": "==========\nmongoquery\n==========\n\n.. image:: https://travis-ci.org/kapouille/mongoquery.svg?branch=master\n    :target: https://travis-ci.org/kapouille/mongoquery\n\nA utility library that provides a `MongoDB <http://www.mongodb.org>`_-like query\nlanguage for querying python collections. It's mainly intended to parse objects\nstructured as fundamental types in a similar fashion to what is produced by `JSON`\nor `YAML` parsers. It follows the specification of queries for MongoDB version 3.4.\n\n\n-----\nUsage\n-----\n\nExample:\n\n.. code-block:: python\n\n    from mongoquery import Query, QueryError\n\n    records = [\n        {\"a\": 5, \"b\": 5, \"c\": None},\n        {\"a\": 3, \"b\": None, \"c\": 8},\n        {\"a\": None, \"b\": 3, \"c\": 9},\n        {\"a\": 1, \"b\": 2, \"c\": 3},\n        {\"a\": 2, \"c\": 5},\n        {\"a\": 3, \"b\": 2},\n        {\"a\": 4},\n        {\"b\": 2, \"c\": 4},\n        {\"b\": 2},\n        {\"c\": 6}\n    ]\n\n    a_is_3 = Query({\"a\": 3})\n\n    # match a single object\n    matched = a_is_3.match(records[1])\n    assert matched\n\n    matched = a_is_3.match(records[0])\n    assert not matched\n\n    # filter elements\n    filtered = filter(\n        a_is_3.match,\n        records\n    )\n    assert filtered == [records[1], records[5]]\n\n    # incorrect filters raise QueryError\n    try:\n        matched = query({\"$foo\": 2}).match(records[1])\n    except QueryError:\n        pass  # => \"$foo\" operator isn't supported\n\n\n------------\nQuery syntax\n------------\n\nThe syntax of queries matches closely the one of\n`MongoDB queries <http://docs.mongodb.org/manual/tutorial/query-documents/>`_,\nand translates it to python using the following rules:\n\n  - operators and field identifiers are expressed as strings. For instance,\n    the following MongoDB query:\n\n    .. code-block:: javascript\n\n      {\n          memos: {\n              $elemMatch: {\n                  memo: 'on time',\n                  by: 'billing'\n              }\n          }\n      }\n\n    Translates straightforwardly to the following Python dict:\n\n    .. code-block:: python\n\n      {\n          \"memos\": {\n              \"$elemMatch\": {\n                  \"memo\": 'on time',\n                  \"by\": 'billing'\n              }\n          }\n      }\n\n  - regular expressions are expected to be expressed as string containing\n    the MongoDB regular expression syntax. For instance:\n\n    .. code-block:: javascript\n\n      {description: {$regex: /^S/m}}\n\n    Translates to the following Python dict:\n\n    .. code-block:: python\n\n      {\"description\": {\"$regex\": \"/^S/m\"}}\n\n  - the boolean, null syntax used in MongoDB follows the JavaScript syntax.\n    It is expected the python equivalents are used. For instance:\n\n    .. code-block:: javascript\n\n      {a: {$exists: true}, b: null}\n\n    Translates to the following Python dict:\n\n    .. code-block:: python\n\n      {\"a\": {\"$exists\": True}, \"b\": None}\n\n\n---------------------------------------------\nFunctional differences with MongoDB's queries\n---------------------------------------------\n\nThere are a few features that are not supported by ``mongoquery``:\n    - Only the ``\"/pattern/<options>\"`` syntax is supported for ``$regex``. As\n      a consequence, ``$options`` isn't supported.\n    - ``$text`` hasn't been implemented.\n    - Due to the pure python nature of this library, ``$where`` isn't supported.\n    - The `Geospatial` operators ``$geoIntersects``, ``$geoWithin``,\n      ``$nearSphere``, and ``$near`` are not implemented.\n    - Projection operators `$``, ``$elemMatch``, ``$meta``, and ``$slice`` are\n      not implemented (only querying is implemented)\n    - ``$type`` is limited to recognising generic python types, it won't look\n      into recognising the format of the data (for instance, it doesn't check\n      Object ID's format, only that they are strings)\n\n",
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