def search(word1, word2, k):
w1 = norm_word(word1)
w2 = norm_word(word2)
if w1 not in vocab or w2 not in vocab:
return []
return positionAND(post[vocab[w1]['id']], post[vocab[w2]['id']],
int(k))
def get_postings(self, word):
if not matches(word):
return []
term = norm_word(word)
return get_postings(term, self.table, self.vocab_str,
self.posting_bytes, self.added_zeros, self.decode,
self.encoding)
def get_postings(self, word):
if not matches(word):
return []
i = self.find_pos(norm_word(word))
if i == -1:
return []
posting_bytes = self.get_postings_bytes(i)
return self.decode_postings(posting_bytes)
def get_postings(self, word):
if not matches(word):
return []
term = norm_word(word)
return get_postings(term, self.table, self.vocab_str,
self.postings_str, fromGammaStr)
def word(self, ast):
ast_norm = norm_word(ast)
if ast_norm not in self.vocabulary:
raise Exception('Vocabulary doesn`t contain word ' + ast)
return self.postings[self.vocabulary[ast_norm]['id']]
def filter_word(word):
if not re.match(word_regex, word.replace('*', '')):
return ''
return norm_word(word)