Character trigram fuzzy set.
Project description
Character trigram fuzzy set implementation providing cosine similarity-based fuzzy matching.
This library does that one thing on iterables of strings. Any beyond that–Levenshtein distance, scoring, bigram fallback, etc.–is left as an exercise to the reader.
Usage
import os.path from timeit import timeit import requests # Retrieve a file containing around 470,000 English words url = 'https://github.com/dwyl/english-words/raw/master/words.txt' r = requests.get(url, stream=True) words_path = os.path.expanduser('~/words.txt') if not os.path.isfile(words_path): with open(words_path, 'wb') as f: for chunk in r.iter_content(chunk_size=1024): if chunk: f.write(chunk) # Usage import charactertrigramfuzzyset as ctfs items = [line.rstrip() for line in open(words_path, 'r')] fs = ctfs.CharacterTrigramFuzzySet(items) fs.get('bryan') # Profiling, generally around 10-20 ms per call on my machine timeit("fs.get('bryan')", setup=''' import charactertrigramfuzzyset as ctfs items = [line.rstrip() for line in open('{words_path}', 'r')] fs = ctfs.CharacterTrigramFuzzySet(items) '''.format(words_path=words_path), number=1000)
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