77796d63a9a04a5c7639e999f4fa78af62bac405,recordlinkage/comparing.py,,_compare_fuzzy,#Any#Any#Any#Any#Any#,331

Before Change

	// Check jellyfish
	_check_jellyfish()

	series = pandas.concat([s1, s2], axis=1)

	if method == "jaro":
		approx = series.apply(lambda x: jellyfish.jaro_distance(x[0], x[1]) if pandas.notnull(x[0]) and pandas.notnull(x[1]) else np.nan, axis=1)
	
	elif method == "jarowinkler":
		approx = series.apply(lambda x: jellyfish.jaro_winkler(x[0], x[1]) if pandas.notnull(x[0]) and pandas.notnull(x[1]) else np.nan, axis=1)
	
	elif method == "levenshtein":
		approx = series.apply(lambda x: jellyfish.levenshtein_distance(x[0], x[1])/np.max([len(x[0]),len(x[1])]) if pandas.notnull(x[0]) and pandas.notnull(x[1]) else np.nan, axis=1)
		approx = 1 - approx

	elif method == "damerau_levenshtein":
		approx = series.apply(lambda x: jellyfish.damerau_levenshtein_distance(x[0], x[1])/np.max([len(x[0]),len(x[1])]) if pandas.notnull(x[0]) and pandas.notnull(x[1]) else np.nan, axis=1)
		approx = 1 - approx

After Change

	if method == "jaro":
		approx = jaro_similarity(s1, s2)

	elif method in ["jarowinkler", "jaro_winkler"]:
		approx = jarowinkler_similarity(s1, s2)

	elif method == "levenshtein":
		approx = levenshtein_similarity(s1, s2)

	elif method in ["dameraulevenshtein", "damerau_levenshtein"]:
		approx = damerau_levenshtein_similarity(s1, s2)

	elif method in ["qgram", "q_gram"]:
		approx = qgram_similarity(s1, s2)

	elif method == "cosine":

Instances