main.py
def token_sort_ratio(str1, str2):
    """
    Measure of similarity between two strings based on minimal edit distance,
    where ordering of words in each string is normalized before comparing.

    Args:
        str1 (str)
        str2 (str)

    Returns:
        float: similarity between ``str1`` and ``str2`` in the interval [0.0, 1.0],
            where larger values correspond to more similar strings.
    """
    if not str1 or not str2:
        return 0
    str1 = _force_unicode(str1)
    str2 = _force_unicode(str2)
    str1_proc = _process_and_sort(str1)
    str2_proc = _process_and_sort(str2)
    return _ratio(str1_proc, str2_proc)

    Measure of similarity between two strings based on minimal edit distance,
    where ordering of words in each string is normalized before comparing.

    Args:
        str1 (str)
        str2 (str)

    Returns:
        float: similarity between ``str1`` and ``str2`` in the interval [0.0, 1.0],
            where larger values correspond to more similar strings.
    
Measure of similarity between two strings based on minimal edit distance,
where ordering of words in each string is normalized before comparing.

str1 (str)
str2 (str)


Measure of similarity between two strings based on minimal edit distance where ordering of words in each string is normalized before comparing . str1 ( str ) str2 ( str )
def token_sort_ratio(str1, str2):
    if not str1 or not str2:
        return 0
    str1 = _force_unicode(str1)
    str2 = _force_unicode(str2)
    str1_proc = _process_and_sort(str1)
    str2_proc = _process_and_sort(str2)
    return _ratio(str1_proc, str2_proc)
def token_sort_ratio ( str1 , str2 ) : if not str1 or not str2 : return 0 str1 = _force_unicode ( str1 ) str2 = _force_unicode ( str2 ) str1_proc = _process_and_sort ( str1 ) str2_proc = _process_and_sort ( str2 ) return _ratio ( str1_proc , str2_proc )
Measure of similarity between two strings based on minimal edit distance,
where ordering of words in each string is normalized before comparing.
Measure of similarity between two strings based on minimal edit distance where ordering of words in each string is normalized before comparing .
"""
    Measure of similarity between two strings based on minimal edit distance,
    where ordering of words in each string is normalized before comparing.

    Args:
        str1 (str)
        str2 (str)

    Returns:
        float: similarity between ``str1`` and ``str2`` in the interval [0.0, 1.0],
            where larger values correspond to more similar strings.
    """
str1
str2