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        "author": "Josue Kouka",
        "author_email": "josuebrunel@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "My Simple Dictionary Querer\n===========================\n\n.. image:: https://travis-ci.org/josuebrunel/mysdq.svg?branch=master\n    :target: https://travis-ci.org/josuebrunel/mysdq\n.. image:: https://coveralls.io/repos/github/josuebrunel/MySDQ/badge.svg?branch=master\n    :target: https://coveralls.io/github/josuebrunel/MySDQ?branch=master\n.. image:: http://pepy.tech/badge/mysdq\n    :target: http://pepy.tech/count/mysdq\n\n\n**MySDQ** is a simple and easy *dictionary querer* with an api close to the one of *Django QuerySet* \n\nIt is meant to quickly play around with some JSON/Dict data.\n\nIt supports all operator from the *operator module* (Yes even the ones that won't work).\n\nThink *Django QuerySet* when using it.\n\n\nInstallation\n------------\n\n.. code:: python\n\n    pip install mysdq\n\nQuickstart\n----------\n\nData used in here can be found in `here <tests/users.json>`_\n\n.. code:: python\n\n   In [1]: import json\n   In [2]: data = json.load(open('tests/users.json'))\n   In [3]: from mysdq import DictQuerer\n   In [4]: qs = DictQuerer(data)\n   In [5]: qs.count() == 7\n   Out[5]: True\n   In [8]: qs.get(nickname='yloking')\n   Out[8]:\n   {'address': {'city': 'Paris',\n     'name': 'rue du chatea',\n     'num': 169,\n     'zipcode': '75014'},\n    'age': 25,\n    'firstname': 'yosuke',\n    'lastname': 'loking',\n    'nickname': 'yloking',\n    'profiles': [{'name': 'twitter',\n      'url': 'https://twitter.com/yloking/',\n      'username': 'yloking'},\n     {'name': 'github',\n      'url': 'https://github.com/yloking/',\n      'username': 'yloking'},\n     {'name': 'reddit',\n      'url': 'https://reddit.com/yloking/',\n      'username': 'yloking'}]}\n   # Querying non matching entry returns None\n   In [9]: qs.get(lastname='young', age__le=20)\n   # Querying an entry and requesting only 2 attributes\n   In [11]: qs.filter(lastname='young', age__gt=20).values('nickname', 'age')\n   Out[11]: [{'age': 35, 'nickname': 'kyoung'}]\n   # Querying a sub key\n   In [12]: qs.filter(address__zipcode='44000').values('nickname', 'age', 'address')\n   Out[12]:\n   [{'address': {'city': 'Nantes',\n      'name': 'cheval blanc',\n      'num': 12,\n      'zipcode': '44000'},\n     'age': 35,\n     'nickname': 'kyoung'}]\n   # Querying a item in a list\n   In [13]: qs.filter(profiles__0__url__contains='kwame')\n   Out[13]:\n   [{'age': 24,\n     'nickname': 'kkwame',\n     'profiles': [{'name': 'twitter',\n       'url': 'https://twitter.com/kkwame/',\n       'username': 'kkwame'},\n      {'name': 'github',\n       'url': 'https://github.com/kkwame/',\n       'username': 'kkwame'},\n      {'name': 'reddit',\n       'url': 'https://reddit.com/kkwame/',\n       'username': 'kkwame'}]}]\n   # Ordering by attribute\n   In [14]: qs.order_by('age').values('nickname', 'age')\n   Out[14]:\n   [{'age': 15, 'nickname': 'tblack'},\n    {'age': 24, 'nickname': 'kkwame'},\n    {'age': 25, 'nickname': 'yloking'},\n    {'age': 25, 'nickname': 'jrodriguez'},\n    {'age': 28, 'nickname': 'jkouka'},\n    {'age': 32, 'nickname': 'dmccrey'},\n    {'age': 35, 'nickname': 'kyoung'}]\n   # Grouping by attribute\n   In [16]: res = qs.group_by('age')\n   In [17]: assert len(res[25]) == 2\n   In [18]: len(res[25])\n   Out[18]: 2\n   # Apply a function to an attribute\n   In [19]: qs.apply(lambda x: x*2, 'age').values('nickname', 'age')\n   Out[19]:\n   [{'age': 30, 'nickname': 'tblack'},\n    {'age': 48, 'nickname': 'kkwame'},\n    {'age': 50, 'nickname': 'yloking'},\n    {'age': 50, 'nickname': 'jrodriguez'},\n    {'age': 56, 'nickname': 'jkouka'},\n    {'age': 64, 'nickname': 'dmccrey'},\n    {'age': 70, 'nickname': 'kyoung'}]\n\n\nThat's pretty much it. For more filter attribute, just check the code :wink:.",
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