How to use the textdistance.algorithms.edit_based.Hamming function in textdistance

maxlen = max(map(len, sequences))
        while all(sequences) and mismatches <= self.maxmismatches:
            if not maxlen:
                return 1
            if 1 - float(maxlen - ham) / maxlen <= self.threshold:
                return 1
            mismatches += 1
            ham -= 1
            maxlen -= 1

        if not maxlen:
            return 1
        return 0


hamming = Hamming()
levenshtein = Levenshtein()
damerau = damerau_levenshtein = DamerauLevenshtein()
jaro = Jaro()
jaro_winkler = JaroWinkler()
needleman_wunsch = NeedlemanWunsch()
smith_waterman = SmithWaterman()
gotoh = Gotoh()
strcmp95 = StrCmp95()
mlipns = MLIPNS()

def __call__(self, *sequences):
        sequences = self._get_sequences(*sequences)

        result = self.quick_answer(*sequences)
        if result is not None:
            return result

        mismatches = 0
        ham = Hamming()(*sequences)
        maxlen = max(map(len, sequences))
        while all(sequences) and mismatches <= self.maxmismatches:
            if not maxlen:
                return 1
            if 1 - float(maxlen - ham) / maxlen <= self.threshold:
                return 1
            mismatches += 1
            ham -= 1
            maxlen -= 1

        if not maxlen:
            return 1
        return 0