def do_fuzzyindex(self, word):
word = list(preprocess_query(word))[<NUM_LIT:0>]<EOL>token = Token(word)<EOL>neighbors = make_fuzzy(token)<EOL>neighbors = [(n, DB.zcard(dbkeys.token_key(n))) for n in neighbors]<EOL>neighbors.sort(key=lambda n: n[<NUM_LIT:1>], reverse=True)<EOL>for token, freq in neighbors:<EOL><INDENT>if freq == <NUM_LIT:0>:<EOL><INDENT>break<EOL><DEDENT>print(white(token), blue(freq))<EOL><DEDENT>
Compute fuzzy extensions of word that exist in index.
    FUZZYINDEX lilas