4a44eff88fe62c76183418e4ffd779f28b973ef3,synonyms/synonyms.py,,_nearby_levenshtein_distance,#Any#Any#,209

Before Change

    s1_len, s2_len = len(s1), len(s2)
    maxlen = max(s1_len, s2_len)
    first, second = (s2, s1) if s1_len == maxlen else (s1, s2)
    ft_1 = set() // all related words with first sentence 
    for x in first:
        ft_1.add(x)
        n, _ = nearby(x)

After Change

    
    scores = []
    for x in second:
        scores.append(max([_levenshtein_distance(x, y) for y in ft]))
    s = np.sum(scores) / maxlen
    return s

Instances