2022-07-06 07:19:13 +00:00
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def hamming_distance(string1: str, string2: str) -> int:
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"""Calculate the Hamming distance between two equal length strings
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In information theory, the Hamming distance between two strings of equal
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length is the number of positions at which the corresponding symbols are
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different. https://en.wikipedia.org/wiki/Hamming_distance
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Args:
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string1 (str): Sequence 1
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string2 (str): Sequence 2
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Returns:
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int: Hamming distance
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>>> hamming_distance("python", "python")
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0
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>>> hamming_distance("karolin", "kathrin")
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3
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>>> hamming_distance("00000", "11111")
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5
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>>> hamming_distance("karolin", "kath")
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2022-07-06 08:00:05 +00:00
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Traceback (most recent call last):
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...
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2022-07-06 07:19:13 +00:00
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ValueError: String lengths must match!
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"""
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if len(string1) != len(string2):
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raise ValueError("String lengths must match!")
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count = 0
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for char1, char2 in zip(string1, string2):
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if char1 != char2:
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count += 1
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return count
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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