88 lines
3.7 KiB
Python
88 lines
3.7 KiB
Python
# -*- coding: utf-8 -*-
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from __future__ import absolute_import, unicode_literals
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import unittest
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from nltk.collocations import BigramCollocationFinder
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from nltk.metrics import BigramAssocMeasures
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## Test bigram counters with discontinuous bigrams and repeated words
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_EPSILON = 1e-8
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def close_enough(x, y):
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"""Verify that two sequences of n-gram association values are within
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_EPSILON of each other.
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"""
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for (x1, y1) in zip(x, y):
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if x1[0] != y1[0] or abs(x1[1] - y1[1]) > _EPSILON:
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return False
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return True
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class TestBigram(unittest.TestCase):
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def test_bigram2(self):
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sent = 'this this is is a a test test'.split()
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b = BigramCollocationFinder.from_words(sent)
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# python 2.6 does not have assertItemsEqual or assertListEqual
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self.assertEqual(
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sorted(b.ngram_fd.items()),
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sorted([(('a', 'a'), 1), (('a', 'test'), 1), (('is', 'a'), 1), (('is', 'is'), 1), (('test', 'test'), 1),
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(('this', 'is'), 1), (('this', 'this'), 1)])
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)
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self.assertEqual(
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sorted(b.word_fd.items()),
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sorted([('a', 2), ('is', 2), ('test', 2), ('this', 2)])
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)
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self.assertTrue(len(sent) == sum(b.word_fd.values()) == sum(b.ngram_fd.values()) + 1)
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self.assertTrue(close_enough(
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sorted(b.score_ngrams(BigramAssocMeasures.pmi)),
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sorted([(('a', 'a'), 1.0), (('a', 'test'), 1.0), (('is', 'a'), 1.0), (('is', 'is'), 1.0),
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(('test', 'test'), 1.0), (('this', 'is'), 1.0), (('this', 'this'), 1.0)])
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))
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def test_bigram3(self):
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sent = 'this this is is a a test test'.split()
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b = BigramCollocationFinder.from_words(sent, window_size=3)
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self.assertEqual(
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sorted(b.ngram_fd.items()),
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sorted([(('a', 'test'), 3), (('is', 'a'), 3), (('this', 'is'), 3), (('a', 'a'), 1), (('is', 'is'), 1),
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(('test', 'test'), 1), (('this', 'this'), 1)])
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)
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self.assertEqual(
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sorted(b.word_fd.items()),
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sorted([('a', 2), ('is', 2), ('test', 2), ('this', 2)])
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)
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self.assertTrue(len(sent) == sum(b.word_fd.values()) == (sum(b.ngram_fd.values()) + 2 + 1) / 2.0)
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self.assertTrue(close_enough(
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sorted(b.score_ngrams(BigramAssocMeasures.pmi)),
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sorted([(('a', 'test'), 1.584962500721156), (('is', 'a'), 1.584962500721156),
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(('this', 'is'), 1.584962500721156), (('a', 'a'), 0.0), (('is', 'is'), 0.0),
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(('test', 'test'), 0.0), (('this', 'this'), 0.0)])
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))
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def test_bigram5(self):
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sent = 'this this is is a a test test'.split()
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b = BigramCollocationFinder.from_words(sent, window_size=5)
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self.assertEqual(
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sorted(b.ngram_fd.items()),
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sorted([(('a', 'test'), 4), (('is', 'a'), 4), (('this', 'is'), 4), (('is', 'test'), 3), (('this', 'a'), 3),
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(('a', 'a'), 1), (('is', 'is'), 1), (('test', 'test'), 1), (('this', 'this'), 1)])
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)
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self.assertEqual(
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sorted(b.word_fd.items()),
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sorted([('a', 2), ('is', 2), ('test', 2), ('this', 2)])
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)
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self.assertTrue(len(sent) == sum(b.word_fd.values()) == (sum(b.ngram_fd.values()) + 4 + 3 + 2 + 1) / 4.0)
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self.assertTrue(close_enough(
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sorted(b.score_ngrams(BigramAssocMeasures.pmi)),
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sorted(
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[(('a', 'test'), 1.0), (('is', 'a'), 1.0), (('this', 'is'), 1.0), (('is', 'test'), 0.5849625007211562),
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(('this', 'a'), 0.5849625007211562), (('a', 'a'), -1.0), (('is', 'is'), -1.0),
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(('test', 'test'), -1.0), (('this', 'this'), -1.0)])
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))
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