def word_values(self, value, **kwargs):
seen = defaultdict(int)
if self.boost_as_freq:
for t in unstopped(self.analyzer(value, boosts=True, **kwargs)):
seen[t.text] += int(t.boost)
else:
for t in unstopped(self.analyzer(value, **kwargs)):
seen[t.text] += 1
encode = self.encode
return ((w, freq, encode(freq)) for w, freq in seen.iteritems())
def word_values(self, value, **kwargs):
seen = defaultdict(int)
if self.boost_as_freq:
for t in unstopped(self.analyzer(value, boosts=True, **kwargs)):
seen[t.text] += int(t.boost)
else:
for t in unstopped(self.analyzer(value, **kwargs)):
seen[t.text] += 1
encode = self.encode
return ((w, freq, encode(freq)) for w, freq in six.iteritems(seen))
def word_values(self, value, doc_boost=1.0, **kwargs):
seen = defaultdict(int)
for t in unstopped(self.analyzer(value, **kwargs)):
seen[t.text] += 1
encode = self.encode
return ((w, freq, encode((freq, doc_boost)))
for w, freq in six.iteritems(seen))
def word_values(self, value, doc_boost=1.0, **kwargs):
seen = defaultdict(int)
for t in unstopped(self.analyzer(value, **kwargs)):
seen[t.text] += 1
encode = self.encode
return ((w, freq, encode((freq, doc_boost)))
for w, freq in seen.iteritems())
def word_values(self, value, start_pos=0, **kwargs):
seen = defaultdict(list)
for t in unstopped(self.analyzer(value, positions=True,
start_pos=start_pos, **kwargs)):
seen[t.text].append(start_pos + t.pos)
encode = self.encode
return ((w, len(poslist), encode(poslist))
for w, poslist in seen.iteritems())
def word_values(self, value, start_pos=0, start_char=0, **kwargs):
seen = defaultdict(list)
for t in unstopped(self.analyzer(value, positions=True, chars=True,
start_pos=start_pos,
start_char=start_char, **kwargs)):
seen[t.text].append((t.pos, start_char + t.startchar,
start_char + t.endchar))
encode = self.encode
return ((w, len(ls), encode(ls)) for w, ls in seen.iteritems())
def word_values(self, value, start_pos=0, **kwargs):
seen = defaultdict(iter)
for t in unstopped(
self.analyzer(value,
positions=True,
boosts=True,
start_pos=start_pos,
**kwargs)):
pos = t.pos
boost = t.boost
seen[t.text].append((pos, boost))
encode = self.encode
return ((w, len(poslist), encode(poslist))
for w, poslist in six.iteritems(seen))
def word_values(self, value, **kwargs):
wordset = set(t.text
for t in unstopped(self.analyzer(value, **kwargs)))
return ((w, 1, '') for w in wordset)
def word_values(self, value, **kwargs):
wordset = set(t.text for t
in unstopped(self.analyzer(value, **kwargs)))
return ((w, 1, '') for w in wordset)
