def setUp(self):
module_path = os.path.dirname(os.path.realpath(__file__))
self.module_path = module_path
self.lm3Extractor = SourceLMFeatureExtractor(
corpus_file=os.path.join(module_path, 'test_data/training.txt'))
self.lm5Extractor = SourceLMFeatureExtractor(corpus_file=os.path.join(
module_path, 'test_data/training.txt'),
order=5)
def test_source_lm_no_source(self):
slmFE = SourceLMFeatureExtractor(
os.path.join(self.module_path,
'../../experiment/tiny_test/europarl.1000.en'))
obj = {
'token': u'hits',
'index': 2,
'target': [u'a', u'boy', u'hits', u'a', u'dog']
}
with self.assertRaises(NoDataError):
slmFE.get_features(obj)
class LMFeatureExtractorTests(unittest.TestCase):
def setUp(self):
module_path = os.path.dirname(os.path.realpath(__file__))
self.module_path = module_path
self.lm3Extractor = SourceLMFeatureExtractor(os.path.join(module_path, 'test_data/training.txt'))
self.lm5Extractor = SourceLMFeatureExtractor(os.path.join(module_path, 'test_data/training.txt'), order=5)
def test_get_features(self):
# { 'token': <token>, index: <idx>, 'source': [<source toks>]', 'target': [<target toks>], 'tag': <tag>}
(left3, right3) = self.lm3Extractor.get_features({'token': 'est', 'index': 2, 'target': [u'c',u'\'',u'est',u'un',u'garçon'], 'source': [u'It', u'becomes', u'more', u'and', u'more', u'difficult', u'for', u'us', u'to', u'protect', u'her', u'brands', u'in', u'China', '.'], 'tag':'G', 'alignments': [[], [], [6], [], []]})
(left5, right5) = self.lm5Extractor.get_features({'token':'est', 'index':2, 'target':[u'c',u'\'',u'est',u'un',u'garçon'], 'source':[u'It', u'becomes', u'more', u'and', u'more', u'difficult', u'for', u'us', u'to', u'protect', u'her', u'brands', u'in', u'China', '.'], 'tag':'G', 'alignments': [[], [], [6], [], []]})
self.assertEqual(left3, 3)
self.assertEqual(right3, 2)
self.assertEqual(left5, 5)
self.assertEqual(right5, 2)
# TODO: if source or alignment don't exist, an error should be thrown
def test_no_source(self):
features = self.lm3Extractor.get_features({'token': 'est', 'index': 2, 'target': [u'c',u'\'',u'est',u'un',u'garçon'], 'tag':'G'})
self.assertEqual(features, [])
def test_no_alignments(self):
features = self.lm3Extractor.get_features({'token': 'est', 'index': 2, 'target': [u'c',u'\'',u'est',u'un',u'garçon'], 'source': [u'It', u'becomes', u'more', u'and', u'more', u'difficult', u'for', u'us', u'to', u'protect', u'her', u'brands', u'in', u'China', '.'], 'tag':'G'})
self.assertEqual(features, [])
def test_unaligned(self):
left_ngram, right_ngram = self.lm3Extractor.get_features({'token': 'est', 'index': 2, 'target': [u'c',u'\'',u'est',u'un',u'garçon'], 'source': [u'this', u'is', u'a', u'boy'], 'alignments':[[0], [1], [], [3], [4]], 'tag':'G'})
self.assertEqual(left_ngram, 0)
self.assertEqual(right_ngram, 0)
def test_multi_alignment(self):
(left3, right3) = self.lm3Extractor.get_features({'token': 'est', 'index': 2, 'target': [u'c',u'\'',u'est',u'un',u'garçon'], 'source': [u'It', u'becomes', u'more', u'and', u'more', u'difficult', u'for', u'us', u'to', u'protect', u'her', u'brands', u'in', u'China', '.'], 'tag':'G', 'alignments': [[], [], [6, 7], [], []]})
self.assertEqual(left3, 2)
self.assertEqual(right3, 2)
def test_source_lm_no_alignments(self):
slmFE = SourceLMFeatureExtractor(os.path.join(self.module_path, '../../experiment/tiny_test/europarl.1000.en'))
obj = {'token':u'hits', 'index':2, 'target':[u'a',u'boy',u'hits',u'a',u'dog'], 'source':[u'un', u'garcon',u'frappe', u'un', u'chien']}
with self.assertRaises(NoDataError):
slmFE.get_features(obj)
def setUp(self):
module_path = os.path.dirname(os.path.realpath(__file__))
self.module_path = module_path
self.lm3Extractor = SourceLMFeatureExtractor(os.path.join(module_path, 'test_data/training.txt'))
self.lm5Extractor = SourceLMFeatureExtractor(os.path.join(module_path, 'test_data/training.txt'), order=5)
class LMFeatureExtractorTests(unittest.TestCase):
def setUp(self):
module_path = os.path.dirname(os.path.realpath(__file__))
self.module_path = module_path
self.lm3Extractor = SourceLMFeatureExtractor(
corpus_file=os.path.join(module_path, 'test_data/training.txt'))
self.lm5Extractor = SourceLMFeatureExtractor(corpus_file=os.path.join(
module_path, 'test_data/training.txt'),
order=5)
def test_get_features(self):
# { 'token': <token>, index: <idx>, 'source': [<source toks>]', 'target': [<target toks>], 'tag': <tag>}
(left3, right3) = self.lm3Extractor.get_features({
'token':
'est',
'index':
2,
'target': [u'c', u'\'', u'est', u'un', u'garçon'],
'source': [
u'It', u'becomes', u'more', u'and', u'more', u'difficult',
u'for', u'us', u'to', u'protect', u'her', u'brands', u'in',
u'China', '.'
],
'tag':
'G',
'alignments': [None, None, 6, None, None]
})
(left5, right5) = self.lm5Extractor.get_features({
'token':
'est',
'index':
2,
'target': [u'c', u'\'', u'est', u'un', u'garçon'],
'source': [
u'It', u'becomes', u'more', u'and', u'more', u'difficult',
u'for', u'us', u'to', u'protect', u'her', u'brands', u'in',
u'China', '.'
],
'tag':
'G',
'alignments': [None, None, 6, None, None]
})
self.assertEqual(left3, 3)
self.assertEqual(right3, 2)
self.assertEqual(left5, 5)
self.assertEqual(right5, 2)
# TODO: if source or alignment don't exist, an error should be thrown
def test_no_source(self):
with self.assertRaises(NoDataError):
features = self.lm3Extractor.get_features({
'token':
'est',
'index':
2,
'target': [u'c', u'\'', u'est', u'un', u'garçon'],
'tag':
'G'
})
def test_no_alignments(self):
with self.assertRaises(NoDataError):
features = self.lm3Extractor.get_features({
'token':
'est',
'index':
2,
'target': [u'c', u'\'', u'est', u'un', u'garçon'],
'source': [
u'It', u'becomes', u'more', u'and', u'more', u'difficult',
u'for', u'us', u'to', u'protect', u'her', u'brands', u'in',
u'China', '.'
],
'tag':
'G'
})
def test_unaligned(self):
left_ngram, right_ngram = self.lm3Extractor.get_features({
'token':
'est',
'index':
2,
'target': [u'c', u'\'', u'est', u'un', u'garçon'],
'source': [u'this', u'is', u'a', u'boy'],
'alignments': [0, 1, None, 3, 4],
'tag':
'G'
})
self.assertEqual(left_ngram, 0)
self.assertEqual(right_ngram, 0)
def test_multi_alignment(self):
(left3, right3) = self.lm3Extractor.get_features({
'token':
'est',
'index':
2,
'target': [u'c', u'\'', u'est', u'un', u'garçon'],
'source': [
u'It', u'becomes', u'more', u'and', u'more', u'difficult',
u'for', u'us', u'to', u'protect', u'her', u'brands', u'in',
u'China', '.'
],
'tag':
'G',
'alignments': [None, None, 6, None, None]
})
self.assertEqual(left3, 3)
self.assertEqual(right3, 2)
