def analyze(text, **opts):
proximity = opts.get('proximity', 0)
wthresh = opts.get('word_thresh', 17)
cthresh = opts.get('char_thresh', 95)
_common_word_set = _resources.common_words(**opts)
problem_phrases = []
last_n_simple_tokens = collections.deque([], proximity)
last_n_tokens = collections.deque([], proximity+1)
current_sentence = []
for line_num, token in _split_text(text):
simpletoken = token.strip(_resources.PUNCTUATION).lower()
if proximity:
last_n_tokens.append(token)
if simpletoken not in _common_word_set:
if simpletoken in last_n_simple_tokens:
problem_phrases.append((PROXIMITY_FLAG,line_num,simpletoken,
' '.join(last_n_tokens)))
last_n_simple_tokens.append(simpletoken)
current_sentence.append(token)
if any(t in token for t in _resources.TERMINATORS):
if not any(t in token for t in _resources.NON_TERMINATORS):
# End of sentence; check for problems.
if wthresh and len(current_sentence) >= wthresh:
problem_phrases.append((WTHRESH_FLAG, line_num,
len(current_sentence),
' '.join(current_sentence)))
if cthresh:
lsen = sum(len(w) for w in current_sentence)
if lsen > cthresh:
problem_phrases.append((CTHRESH_FLAG, line_num, lsen,
' '.join(current_sentence)))
# Reset current sentence
current_sentence = []
problem_phrases.sort()
return problem_phrases
def test_common_words(self):
self.assertEqual(set(), _resources.common_words(track_all_words=True))
self.assertEqual(_resources.COMMON_WORDS, _resources.common_words())
self.assertCountEqual((_resources.COMMON_WORDS.union(
_resources.COMMON_WORDS_EXTENSION)),
_resources.common_words(extended_list=True))
