textdistance_hamming_levenshtein_string_similarity_quickstart.py

1import textdistance
2
3# Hamming distance
4hamming_dist = textdistance.hamming('test', 'text')
5print(f"Hamming distance: {hamming_dist}")
6
7# Levenshtein distance
8levenshtein_dist = textdistance.levenshtein('test', 'text')
9print(f"Levenshtein distance: {levenshtein_dist}")
10
11# Normalized similarity (0 to 1)
12similarity = textdistance.levenshtein.normalized_similarity('test', 'text')
13print(f"Levenshtein similarity: {similarity}")