def do_fuzzy(self, word):
"""Compute fuzzy extensions of word.
FUZZY lilas"""
word = list(preprocess_query(word))[0]
fuzzy = make_fuzzy(word)
print(white(fuzzy))
print(blue("{} items".format(len(fuzzy))))
def pair(word):
"""See all token associated with a given token.
PAIR lilas"""
word = list(preprocess_query(word))[0]
key = pair_key(word)
tokens = [t.decode() for t in DB.smembers(key)]
tokens.sort()
print(white(tokens))
print(magenta('(Total: {})'.format(len(tokens))))
def pair(cmd, word):
"""See all token associated with a given token.
PAIR lilas"""
word = list(preprocess_query(word))[0]
key = pair_key(word)
tokens = [t.decode() for t in DB.smembers(key)]
tokens.sort()
print(white(tokens))
print(magenta('(Total: {})'.format(len(tokens))))
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):
"""Compute fuzzy extensions of word that exist in index.
FUZZYINDEX lilas"""
word = list(preprocess_query(word))[0]
token = Token(word)
token.make_fuzzy()
neighbors = [(n, DB.zcard(dbkeys.token_key(n))) for n in token.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_fuzzy(self, word):
"""Compute fuzzy extensions of word.
FUZZY lilas"""
word = list(preprocess_query(word))[0]
print(white(make_fuzzy(word)))
def do_AUTOCOMPLETE(cmd, s):
"""Shows autocomplete results for a given token."""
s = list(preprocess_query(s))[0]
keys = [k.decode() for k in DB.smembers(edge_ngram_key(s))]
print(white(keys))
print(magenta('({} elements)'.format(len(keys))))
def do_autocomplete(self, s):
"""Shows autocomplete results for a given token."""
s = list(preprocess_query(s))[0]
keys = [k.decode() for k in DB.smembers(edge_ngram_key(s))]
print(white(keys))
print(magenta('({} elements)'.format(len(keys))))
def do_fuzzy(self, word):
"""Compute fuzzy extensions of word.
FUZZY lilas"""
word = list(preprocess_query(word))[0]
print(white(make_fuzzy(word)))