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Optimized iteration in Noun Phrase extraction #261

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12 changes: 8 additions & 4 deletions textblob/en/np_extractors.py
Original file line number Diff line number Diff line change
Expand Up @@ -142,7 +142,9 @@ def extract(self, sentence):
merge = True
while merge:
merge = False
for x in range(0, len(tags) - 1):

x = 0
while x < len(tags) - 1:
t1 = tags[x]
t2 = tags[x + 1]
key = t1[1], t2[1]
Expand All @@ -154,7 +156,7 @@ def extract(self, sentence):
match = '%s %s' % (t1[0], t2[0])
pos = value
tags.insert(x, (match, pos))
break
x = x + 1

matches = [t[0] for t in tags if t[1] in ['NNP', 'NNI']]
return matches
Expand Down Expand Up @@ -188,7 +190,8 @@ def _is_match(tagged_phrase, cfg):
merge = True
while merge:
merge = False
for i in range(len(copy) - 1):
i = 0
while i < len(copy) - 1:
first, second = copy[i], copy[i + 1]
key = first[1], second[1] # Tuple of tags e.g. ('NN', 'JJ')
value = cfg.get(key, None)
Expand All @@ -199,6 +202,7 @@ def _is_match(tagged_phrase, cfg):
match = '{0} {1}'.format(first[0], second[0])
pos = value
copy.insert(i, (match, pos))
break
i = i + 1

match = any([t[1] in ('NNP', 'NNI') for t in copy])
return match