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)