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        "author": "Russell Keith-Magee",
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            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Text Processing",
            "Topic :: Utilities"
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        "description": "PySpamSum\n=========\n\n.. image:: https://img.shields.io/pypi/pyversions/pyspamsum.svg\n    :target: https://pypi.org/project/pyspamsum\n\n.. image:: https://img.shields.io/pypi/v/pyspamsum.svg\n    :target: https://pypi.org/project/pyspamsum\n\n.. image:: https://img.shields.io/pypi/status/pyspamsum.svg\n    :target: https://pypi.org/project/pyspamsum\n\n.. image:: https://img.shields.io/pypi/l/pyspamsum.svg\n    :target: https://github.com/pybee/pyspamsum/blob/master/LICENSE\n\n.. image:: https://travis-ci.org/pybee/pyspamsum.svg?branch=master\n    :target: https://travis-ci.org/pybee/pyspamsum\n\nspamsum is a fuzzy hash specifically designed for hashing email messages\nto detect if they are SPAM. The spamsum utility includes the ability to\ngenerate the spamsum hash and check a new message against a existing set\nof hashes to find a match.\n\npyspamsum is a Python wrapper for the core API of spamsum.\n\nThe original spamsum code has been licensed under the terms of the\nthe Perl Artistic License. It has been slightly modified\n\nThe original code is Copyright Andrew Tridgell <tridge@samba.org> 2002.\nIt forms part of Andrew's junkcode, and is available here:\n\n    http://www.samba.org/junkcode/#spamsum\n\nThe spamsum code in this project is derived from an updated version that\nwas published at Linux.conf.au 2004:\n\n    http://linux.anu.edu.au/linux.conf.au/2004/papers/junkcode/spamsum\n\nFor details on spamsum itself, please see the spamsum README:\n\n    http://samba.org/ftp/unpacked/junkcode/spamsum/README\n\nInstallation\n------------\n\nAt a prompt, run::\n\n    $ python setup.py install\n\nUsage\n-----\n\nOnce installed, here are some examples of usage::\n\n    # Import spamsum and set up some strings\n    >>> import spamsum\n    >>> s1 = \"I am the very model of a modern Major-General, I've information animal and vegetable and mineral\"\n    >>> s2 = \"I am the very model of a modern Brigadier, I've information animal and vegetable and something else\"\n    >>> s3 = \"Huh? Gilbert and Who?\"\n\n    # Evaluate the edit distance between two strings\n    >>> spamsum.edit_distance(s1, s2)\n    27\n\n    # Evaluate the spamsum of some strings\n    >>> sum1 = spamsum.spamsum(s1)\n    >>> sum2 = spamsum.spamsum(s2)\n    >>> sum3 = spamsum.spamsum(s2)\n    >>> print sum1\n    3:kEvyc/sFIKwYclQY4MKLFE4Igu0uLzIKygn:kE6Ai3KQ/MKOgDKZn\n\n    # Compare two spamsums. 0 = no match, 100 = perfect match.\n    >>> spamsum.match(sum1, sum1)\n    100\n    >>> spamsum.match(sum1, sum2)\n    72\n    >>> spamsum.match(sum1, sum3)\n    0\n\n\n",
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