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