+ def rerank_by_query(self, query: QueryStruct, results: SearchResults) -> None:
+ """ Adjust the accuracy of the localized result according to how well
+ they match the original query.
+ """
+ assert self.query_analyzer is not None
+ qwords = [word for phrase in query.source
+ for word in re.split('[, ]+', phrase.text) if word]
+ if not qwords:
+ return
+
+ for result in results:
+ # Negative importance indicates ordering by distance, which is
+ # more important than word matching.
+ if not result.display_name\
+ or (result.importance is not None and result.importance < 0):
+ continue
+ distance = 0.0
+ norm = self.query_analyzer.normalize_text(result.display_name)
+ words = set((w for w in norm.split(' ') if w))
+ if not words:
+ continue
+ for qword in qwords:
+ wdist = max(difflib.SequenceMatcher(a=qword, b=w).quick_ratio() for w in words)
+ if wdist < 0.5:
+ distance += len(qword)
+ else:
+ distance += (1.0 - wdist) * len(qword)
+ # Compensate for the fact that country names do not get a
+ # match penalty yet by the tokenizer.
+ # Temporary hack that needs to be removed!
+ if result.rank_address == 4:
+ distance *= 2
+ result.accuracy += distance * 0.4 / sum(len(w) for w in qwords)
+
+