for row in await self.lookup_in_db(lookup_words):
for trange in words[row.word_token.strip()]:
token, ttype = self.make_token(row)
for row in await self.lookup_in_db(lookup_words):
for trange in words[row.word_token.strip()]:
token, ttype = self.make_token(row)
elif ttype == qmod.TokenType.QUALIFIER:
query.add_token(trange, qmod.TokenType.QUALIFIER, token)
if trange.start == 0 or trange.end == query.num_token_slots():
token = copy(token)
token.penalty += 0.1 * (query.num_token_slots())
elif ttype == qmod.TokenType.QUALIFIER:
query.add_token(trange, qmod.TokenType.QUALIFIER, token)
if trange.start == 0 or trange.end == query.num_token_slots():
token = copy(token)
token.penalty += 0.1 * (query.num_token_slots())
elif ttype != qmod.TokenType.PARTIAL or trange.start + 1 == trange.end:
query.add_token(trange, ttype, token)
elif ttype != qmod.TokenType.PARTIAL or trange.start + 1 == trange.end:
query.add_token(trange, ttype, token)
def split_query(self, query: qmod.QueryStruct) -> Tuple[List[str],
Dict[str, List[qmod.TokenRange]]]:
""" Transliterate the phrases and split them into tokens.
def split_query(self, query: qmod.QueryStruct) -> Tuple[List[str],
Dict[str, List[qmod.TokenRange]]]:
""" Transliterate the phrases and split them into tokens.
- if repl.end == tlist.end and repl.ttype != qmod.TokenType.HOUSENUMBER \
- and (repl.ttype != qmod.TokenType.HOUSENUMBER
- or len(tlist.tokens[0].lookup_word) <= 3):
+ if repl.end == tlist.end and repl.ttype != qmod.TokenType.HOUSENUMBER: