How to use the jellyfish.jaro_winkler_similarity function in jellyfish

* damerau-levenshtein (DEFAULT)
        * hamming
        * jaro
        * jaro-winkler

    Return values:
        "levenshtein", "damerau-levenshtein" and "hamming" return integers
        "jaro" and "jaro-winkler" return floats in the range of 0.0 (completely
        different) to 1.0 (identical strings).
    '''
    algos = {
        "levenshtein":levenshtein_distance,
        "damerau-levenshtein":damerau_levenshtein_distance,
        "hamming":hamming_distance,
        "jaro":jaro_similarity,
        "jaro-winkler":jaro_winkler_similarity
    }

    if not method in list(algos.keys()):
        raise ValueError("Unsupported algorithm type: %s" % method)

    if str1 is None or str2 is None or not isinstance(str1, str) or not isinstance(str2, str):
        raise TypeError("Arguments must be strings.")

    distance_function = algos[method]

    # All the jellyfish distance functions expect unicode, which is the default
    # for Python3.  If we're running in Python2, we need to convert them.
    python_version = sys.version_info
    if python_version.major == 2:
        str1 = unicode(str1)
        str2 = unicode(str2)