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        "author": "Majid Ghasemi Gol",
        "author_email": "ghasemig@usc.edu",
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            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
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            "Programming Language :: Python :: 3.3",
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        "description": "# hybrid-jaccard\nImplementation of hybrid jaccard similarity\n\nPackage files:\n|\n|-> __init__.py\n|\n|-> hybrid_jaccard.py: contains the base class for hybrid jaccard string matching\n|\n|-> jaro.py & typo_tables.py: contain the methods for jaro distance calculation\n|\n|-> munkres.py: contains the hungarian matching algorithm\n|\n|-> eye_config.txt: contains the configuration info for the hybrid-jaccard class\n|\n|-> eye_reference.txt: contains the reference eye colors\n|\n|-> input.txt: a sample input file for testing the program\n|\n|-> README.md\n|\n|-> LICENSE\n\nUsage:\n\nYou should import \"HybridJaccard\" in your code. The main class is HybridJaccard.\nThe class constructor gets two arguments, path to reference and config files respectively.\nThe \"findBestMatch\" method returns the best match for the input string among those in the \nreference file if one exists, and returns \"NONE\" otherwise. A sample usage might be like:\n\nsm = HybridJaccard()\nmatch = sm.findBestMatch(\"beautiful light bluish eyes\")\n\nabout eye_config.txt:\n-- it has a field \"type\" which is for now always \"hybrid_jaccard\"\n-- it has a field \"partial_method\" which can be \"jaro\" or \"levenshtein\"\n-- it has a field \"threshold\" which determines how picky we want to be in hybrid jaccard algorithm before doing the matching",
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        "keywords": "matching similarity",
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