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    "info": {
        "author": "Richard Milne",
        "author_email": "richmilne@hotmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 2",
            "Topic :: Text Processing",
            "Topic :: Text Processing :: General",
            "Topic :: Text Processing :: Indexing"
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        "description": "JaroWinkler\n===========\n\nOriginal, standard and customisable versions of the Jaro-Winkler functions.\n\n<pre>\n>>> import jaro\n>>> jaro.jaro_winkler_metric(u'SHACKLEFORD', u'SHACKELFORD')\n0.9818181\n>>> help(jaro)\n\nHelp on package jaro:\n\n<strong>NAME</strong>\n    jaro - Python translation of the original Jaro-Winkler functions.`\n\n<strong>DESCRIPTION</strong>\n    The Jaro-Winkler functions compare two strings and return a score indicating\n    how closely the strings match. The score ranges from 0 (no match) to 1\n    (perfect match).\n\n    Two null strings ('') will compare as equal. Strings should be unicode\n    strings, and will be compared as given; the caller is responsible for\n    capitalisations and trimming leading/trailing spaces.\n\n    You should normally only need to use either the jaro_metric() or\n    jaro_winkler_metric() functions defined here. If you want to implement your\n    own, non-standard metrics, look at the comments and functions in the jaro.py\n    submodule.\n\n<strong>PACKAGE CONTENTS</strong>\n   ...\n   jaro\n   strcmp95\n   ...\n\n<strong>FUNCTIONS</strong>\n    <strong>jaro_metric</strong>(string1, string2)\n        The standard, basic Jaro string metric.\n\n    <strong>jaro_winkler_metric</strong>(string1, string2)\n        The Jaro metric adjusted with Winkler's modification, which boosts\n        the metric for strings whose prefixes match.\n\n    <strong>original_metric</strong>(string1, string2)\n        The same metric that would be returned from the reference Jaro-Winkler\n        C code, taking as it does into account a typo table and adjustments for\n        longer strings.\n        ...\n\n    <strong>custom_metric</strong>(string1, string2, typo_table, typo_scale,\n                               boost_threshold, pre_len, pre_scale, longer_prob)\n        Calculate the Jaro-Winkler metric with parameters of your own choosing.\n        ...\n</pre>",
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        "keywords": null,
        "license": "GNU General Public License v3 (GPLv3)",
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        "name": "jaro_winkler",
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        "summary": "Original, standard and customisable versions of the Jaro-Winkler functions.",
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