for _ in range(25):
operations = list(processor.process(common1))
operations = list(processor.process(common2))
print("\tcommon_fast: {0}".format((time.time() - start)/50))
segment_common_fast()
#profile.run('segment_common()', sort="cumulative")
def segment_random():
start = time.time()
for _ in range(25):
operations = list(segment_matcher.diff(random1_tokens, random2_tokens))
print("\trandom: {0}".format((time.time() - start)/25))
#segment_random()
#profile.run('segment_random()', sort="cumulative")
common1_segments = segmenter.segment(common1_tokens)
common2_segments = segmenter.segment(common2_tokens)
random1_segments = segmenter.segment(random1_tokens)
random2_segments = segmenter.segment(random2_tokens)
print("Running segment matcher (post segmentation):")
def segment_common_seg():
start = time.time()
for _ in range(25):
operations = list(segment_matcher.diff_segments(common1_segments, common2_segments))
print("\tcommon: {0}".format((time.time() - start)/25))
segment_common_seg()
#profile.run('segment_common_seg()', sort="cumulative")
def segment_random_seg():
start = time.time()
sentences = []
for paragraph_or_whitespace in segments:
if isinstance(paragraph_or_whitespace, MatchableSegment):
paragraph = paragraph_or_whitespace # We have a paragraph
for sentence_or_whitespace in paragraph:
if isinstance(sentence_or_whitespace, MatchableSegment):
sentence = sentence_or_whitespace # We have a sentence
sentences.append(sentence)
return sentences
def my_strip_code(wikicode):
return "".join(_my_strip_code(wikicode))
def _my_strip_code(wikicode):
for node in wikicode.nodes:
stripped = node.__strip__(normalize=True, collapse=True)
if isinstance(node, Wikilink):
stripped = stripped.split("|")[-1]
if stripped is not None:
yield str(stripped)
tokens = wikitext_split.tokenize(text)
sentences = process_sentences(segmenter.segment(tokens))
for sentence in sentences:
raw_sentence = my_strip_code(mwp.parse(str(sentence).replace("\n", " ")))
print(" *", raw_sentence)
for paragraph_or_whitespace in segments:
if isinstance(paragraph_or_whitespace, MatchableSegment):
paragraph = paragraph_or_whitespace # We have a paragraph
for sentence_or_whitespace in paragraph:
if isinstance(sentence_or_whitespace, MatchableSegment):
sentence = sentence_or_whitespace # We have a sentence
sentences.append(sentence)
return sentences
def my_strip_code(wikicode):
return "".join(_my_strip_code(wikicode))
def _my_strip_code(wikicode):
for node in wikicode.nodes:
stripped = node.__strip__(normalize=True, collapse=True)
if isinstance(node, Wikilink):
stripped = stripped.split("|")[-1]
if stripped is not None:
yield str(stripped)
tokens = wikitext_split.tokenize(text)
sentences = process_sentences(segmenter.segment(tokens))
for sentence in sentences:
raw_sentence = my_strip_code(mwp.parse(str(sentence).replace("\n", " ")))
print(" *", raw_sentence)
segment_common_fast()
#profile.run('segment_common()', sort="cumulative")
def segment_random():
start = time.time()
for _ in range(25):
operations = list(segment_matcher.diff(random1_tokens, random2_tokens))
print("\trandom: {0}".format((time.time() - start) / 25))
#segment_random()
#profile.run('segment_random()', sort="cumulative")
common1_segments = segmenter.segment(common1_tokens)
common2_segments = segmenter.segment(common2_tokens)
random1_segments = segmenter.segment(random1_tokens)
random2_segments = segmenter.segment(random2_tokens)
print("Running segment matcher (post segmentation):")
def segment_common_seg():
start = time.time()
for _ in range(25):
operations = list(
segment_matcher.diff_segments(common1_segments, common2_segments))
print("\tcommon: {0}".format((time.time() - start) / 25))
