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            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Database",
            "Topic :: Software Development :: Libraries"
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        "description": ".. image:: https://img.shields.io/pypi/v/humongous.svg\n    :target: https://pypi.python.org/pypi/humongous\n.. image:: https://travis-ci.org/mdomke/humongous.svg?branch=master\n    :target: https://travis-ci.org/mdomke/humongous\n.. image:: https://img.shields.io/pypi/l/humongous.svg\n    :target: https://pypi.python.org/pypi/humongous\n\nWhat is this?\n=============\n\nThis is a pytest plugin, that enables you to test your code that relies on a\ndatabase connection to a MongoDB and expectes certain data to be present.\nIt allows you to specify fixtures for database collections in JSON/BSON or YAML\nformat. Under the hood we use the mongomock_ library, that you should\nconsult for documentation on how to use MongoDB mock objects. If suitable you\ncan also use a real MongoDb server.\n\n\nConfiguration\n-------------\n\nIf you don't want to put your fixtures on the top-level directory of your package\nyou have to specify a directory where `humongous` looks for your data definitions.\n\nTo do so put a line like the following under the ``pytest`` section of your\n`pytest.ini`-file put a\n\n.. code-block:: ini\n\n    [pytest]\n    humongous_basedir =\n      tests/unit/fixtures\n\n`humongous` would then look for files ending in ``.yaml`` or ``.json`` in that\ndirectory.\n\nYou can also choose to use a real MongoDB server for your tests. In that case\nyou might also want to configure the hostname and/or the credentials if you\ndon't want to stick with the default (localhost and no credentials). Use the\nfollowing configuration values in your `pytest.ini` to adapt the settings to\nyour needs:\n\n.. code-block:: ini\n\n    [pytest]\n    humongous_engine = pymongo\n    humongous_host = mongodb://user:passwd@server.tld\n    humongous_dbname = mydbname\n\n\nBasic usage\n-----------\n\nAfter you configured `humongous` so that it can find your fixtures you're ready to\nspecify some data. Regardless of the markup language you choose, the data is provided\nas a list of documents (dicts). The collection that these documents are being inserted\ninto is given by the filename of your fixutre-file. E.g.: If you had a file named\n``players.yaml`` with the following content:\n\n.. code-block:: yaml\n\n    -\n      name: Mario\n      surname: G\u00f6tze\n      position: striker\n\n    -\n      name: Manuel\n      surname: Neuer\n      position: keeper\n\n\nyou'd end up with a collection `players` that has the above player definitions\ninserted. If your fixture file is in JSON/BSON format you can also use BSON specific\ntypes like `$oid`, `$date`, etc.\n\n\nYou get ahold of the database in you test-function by using the ``humongous`` fixture\nlike so:\n\n.. code-block:: python\n\n    def test_players(humongous):\n        assert \"players\" in humongous.collection_names()\n        manuel = humongous.players.find_one({\"name\": \"Manuel\"})\n        assert manuel[\"surname\"] == \"Neuer\"\n\n\nFor further information refer to the mongomock_ documentation.\n\n\n\n.. _mongomock: https://github.com/vmalloc/mongomock",
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