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    "author": "Daniel Lindsley",
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    "description": "pylev\n=====\n\nA pure Python Levenshtein implementation that's not freaking GPL'd.\n\nBased off the Wikipedia code samples at\nhttp://en.wikipedia.org/wiki/Levenshtein_distance.\n\n\nRequirements\n------------\n\n* Python 2.7.X, Python 3.3+ or PyPy 1.6.0+\n\n\nUsage\n-----\n\nUsage is fairly straightforward.::\n\n    import pylev\n    distance = pylev.levenshtein('kitten', 'sitting')\n    assert(distance, 3)\n\n\nLicense\n-------\n\nNew BSD.\n\n\nTests\n-----\n\nSetup::\n\n    $ git clone https://github.com/toastdriven/pylev.git\n    $ cd pylev\n\nRunning::\n\n    $ python -m unittest tests\n\n[![Build Status](https://travis-ci.org/toastdriven/pylev.png)](https://travis-ci.org/toastdriven/pylev)\n\n\nVersion History\n---------------\n\n* v1.3.0\n\n    * Implemented a considerably faster variants (orders of magnitude).\n    * Tested & working on Python 2.7.4, Python 3.3.1 & PyPy 1.9.0.\n\n* v1.2.0\n\n    * Fixed all incorrect spellings of \"Levenshtein\" (there's no \"c\" in it).\n    * Old methods are aliased for backward-compatibility.\n\n* v1.1.0\n\n    * Implemented a much faster variant (several orders of magnitude).\n    * The older variant was renamed to ``classic_levenschtein``.\n    * Tested & working on Python 3.3 & PyPy 1.6.0 as well.\n\n* v1.0.2\n\n    * Python packaging is **REALLY** hard. Including the README *this time*.\n\n* v1.0.1\n\n    * Python packaging is hard. Including the README this time.\n\n* v1.0.0\n\n    * Initial release, just the naive implementation of Levenshtein.",
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