(str1: str, str2: str)
Measure the similarity between two strings using Levenshtein distance,
    which gives the minimum number of character insertions, deletions, and substitutions
    needed to change one string into the other.

    Args:
        str1
        str2

    Returns:
        Similarity between ``str1`` and ``str2`` in the interval [0.0, 1.0],
        where larger values correspond to more similar strings
Measure the similarity between two strings using Levenshtein distance,
    which gives the minimum number of character insertions, deletions, and substitutions
    needed to change one string into the other.
Measure the similarity between two strings using Levenshtein distance which gives the minimum number of character insertions deletions and substitutions needed to change one string into the other .
def levenshtein(str1: str, str2: str) -> float:
    """
    Measure the similarity between two strings using Levenshtein distance,
    which gives the minimum number of character insertions, deletions, and substitutions
    needed to change one string into the other.

    Args:
        str1
        str2

    Returns:
        Similarity between ``str1`` and ``str2`` in the interval [0.0, 1.0],
        where larger values correspond to more similar strings
    """
    shortcut = _shortcut(str1, str2)
    if shortcut:
        return shortcut

    distance = _levenshtein(str1, str2)
    max_len = max(len(str1), len(str2))
    try:
        return 1.0 - (distance / max_len)
    except ZeroDivisionError:
        return 0.0
def levenshtein ( str1 : str , str2 : str ) -> float : shortcut = _shortcut ( str1 , str2 ) if shortcut : return shortcut distance = _levenshtein ( str1 , str2 ) max_len = max ( len ( str1 ) , len ( str2 ) ) try : return 1.0 - ( distance / max_len ) except ZeroDivisionError : return 0.0