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        "author": "Jonathan Eunice",
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            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "========\nprefsort\n========\n\n\n.. image:: https://img.shields.io/pypi/v/prefsort.svg\n        :target: https://pypi.python.org/pypi/prefsort\n\n.. image:: https://img.shields.io/travis/jonathaneunice/prefsort.svg\n        :target: https://travis-ci.org/jonathaneunice/prefsort\n\n.. image:: https://readthedocs.org/projects/prefsort/badge/?version=latest\n        :target: https://prefsort.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/jonathaneunice/prefsort/shield.svg\n     :target: https://pyup.io/repos/github/jonathaneunice/prefsort/\n     :alt: Updates\n\n\nPartially sort a sequence, preferring some values.\n\n.. code-block:: python\n\n    from prefsort import prefsorted\n\n    seq = list('abcde')\n\n    seq2 = prefsorted(seq, 'c b')\n    assert seq2 == ['c', 'b', 'a', 'd', 'e']\n\nNote that this doesn't sort the majority of the sequence in\nthe way Python's normal ``list.sort()`` or ``sorted()`` do.\nIt just pulls the preferred members to the front of the list.\n\nThis is particularly handy to have when organizing data columns,\nfor example with ``pandas``, the following will make sure the\nid and name columns come first in a DataFrame:\n\n.. code-block:: python\n\n    df = df.reindex(columns=prefsorted(df.columns, 'id name'))\n\nThere is also a ``reverse`` parameter that will put the \"preferred\"\nitems at the end of the list. In this case it's a \"negative\npreference.\"\n\n.. code-block:: python\n\n    seq2 = prefsorted(seq, 'c b', reverse=True)\n    assert seq2 == ['a', 'd', 'e', 'c', 'b']\n\n",
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