def terms_within(self, fieldname, text, maxdist, prefix=0):
if not self.has_word_graph(fieldname):
# This reader doesn't have a graph stored, use the slow method
return IndexReader.terms_within(self, fieldname, text, maxdist,
prefix=prefix)
gr = self._get_graph()
return fst.within(gr, text, k=maxdist, prefix=prefix,
address=self._graph.root(fieldname))
def _suggestions(self, text, maxdist, prefix):
for sug in fst.within(self.graph, text, k=maxdist, prefix=prefix):
# Higher scores are better, so negate the edit distance
yield (0 - maxdist, sug)
