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    "info": {
        "author": "Matthew Tardiff",
        "author_email": "mattrix@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: Implementation :: CPython",
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        "description": "group-by-attr |Version| |Build| |Coverage| |Health|\n===================================================================\n\n|Compatibility| |Implementations| |Format| |Downloads|\n\nGroup items in a sequence by the value of a shared attribute.\n\n.. code:: python\n\n    group_by_attr(attr, items)\n\n\nInstallation:\n\n.. code:: shell\n\n    $ pip install group-by-attr\n\n\nExample\n-------\n\nLet's say you want to group some \"Struct\" instances together.\n\n.. code:: python\n\n    >>> from pprint import pprint\n    >>> from collections import namedtuple\n    >>> Struct = namedtuple('Struct', ('x', 'y', 'z'))\n    >>> a, b, c = (\n    ...     Struct(x=1, y=1, z=1),\n    ...     Struct(x=1, y=2, z=2),\n    ...     Struct(x=1, y=1, z=3))\n\nIf we were to group these instances by the 'x' attribute, we should\nexpect a single group containing all three items:\n\n.. code:: python\n\n    >>> pprint(group_by_attr(attr='x', items=(a, b, c)))\n    {1: (Struct(x=1, y=1, z=1),\n         Struct(x=1, y=2, z=2),\n         Struct(x=1, y=1, z=3))}\n\nIf, instead, we were to group by 'y', we should expect a different\ngrouping:\n\n.. code:: python\n\n    >>> pprint(group_by_attr(attr='y', items=(a, b, c)))\n    {1: (Struct(x=1, y=1, z=1),\n         Struct(x=1, y=1, z=3)),\n     2: (Struct(x=1, y=2, z=2),)}\n\nFinally, grouping by 'z' will result in three separate groups:\n\n.. code:: python\n\n    >>> pprint(group_by_attr(attr='z', items=(a, b, c)))\n    {1: (Struct(x=1, y=1, z=1),),\n     2: (Struct(x=1, y=2, z=2),),\n     3: (Struct(x=1, y=1, z=3),)}\n\nThis function can also use an alternate getattr, as long as it implements\nthe same interface (taking an item and an attribute name as arguments).\nFor example, you could group dictionaries:\n\n.. code:: python\n\n    >>> pprint(group_by_attr(\n    ...     attr='x',\n    ...     items=(\n    ...         {'x': 1, 'y': 'a'},\n    ...         {'x': 2, 'y': 'b'},\n    ...         {'x': 1, 'y': 'c'}),\n    ...     getattr_fn=dict.__getitem__))\n    {1: ({'x': 1, 'y': 'a'},\n         {'x': 1, 'y': 'c'}),\n     2: ({'x': 2, 'y': 'b'},)}\n\n\n.. |Build| image:: https://travis-ci.org/themattrix/python-group-by-attr.svg?branch=master\n   :target: https://travis-ci.org/themattrix/python-group-by-attr\n.. |Coverage| image:: https://img.shields.io/coveralls/themattrix/python-group-by-attr.svg\n   :target: https://coveralls.io/r/themattrix/python-group-by-attr\n.. |Health| image:: https://landscape.io/github/themattrix/python-group-by-attr/master/landscape.svg\n   :target: https://landscape.io/github/themattrix/python-group-by-attr/master\n.. |Version| image:: https://pypip.in/version/group_by_attr/badge.svg?text=version\n    :target: https://pypi.python.org/pypi/group-by-attr\n.. |Downloads| image:: https://pypip.in/download/group_by_attr/badge.svg\n    :target: https://pypi.python.org/pypi/group-by-attr\n.. |Compatibility| image:: https://pypip.in/py_versions/group_by_attr/badge.svg\n    :target: https://pypi.python.org/pypi/group-by-attr\n.. |Implementations| image:: https://pypip.in/implementation/group_by_attr/badge.svg\n    :target: https://pypi.python.org/pypi/group-by-attr\n.. |Format| image:: https://pypip.in/format/group_by_attr/badge.svg\n    :target: https://pypi.python.org/pypi/group-by-attr\n",
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