def test_find_pattern_2_1(self):
[sentence_text, G, words, path] = get_text_G_words_path_2_1()
verb_list = {'verbs': ['produce', 'utilize']}
target = PatternFinder(verb_list, LancasterStemmer())
expected = [('pattern 2.1', 'utilize')]
actual = target.find_patterns(path, sentence_graph=G, sentence_words=words)
self.assertEqual(actual, expected)
def test_find_pattern_4(self):
[sentence_text, G, words, path] = get_text_G_words_path_4()
verb_list = {'verbs': ['look']}
target = PatternFinder(verb_list, LancasterStemmer())
expected = [('pattern 4', [])]
actual = target.find_patterns(path, sentence_graph=G, sentence_words=words)
self.assertEqual(actual, expected)
def test_find_pattern_1_empty(self):
input_path = get_true_sentence_pattern_1()
verb_list = {}
target = PatternFinder(verb_list, LancasterStemmer())
expected = []
actual = target.find_patterns(input_path)
self.assertEqual(actual, expected)
def test_find_pattern_1_1(self):
input_path = get_true_sentence_pattern_1_1()
verb_list = {'verbs': ['utilize']}
target = PatternFinder(verb_list, LancasterStemmer())
expected = [('pattern 1.1', 'utilize')]
actual = target.find_patterns(input_path)
self.assertEqual(actual, expected)
def test_find_words_values(self):
words = ['ab', 'cd', 'kl', 'mn', 'degrades', 'utilise', 'utilises', 'like', 'produces', 'degraded']
verb_list = ['produce', 'degrade', 'utilise']
target = PatternFinder({'verbs': verb_list}, LancasterStemmer())
expected = [[4, 5, 6, 8, 9], ['degrade', 'utilise', 'utilise', 'produce', 'degrade']]
actual = target.find_words(words, verb_list, return_value=True)
self.assertEqual(actual, expected)
def test_find_pattern_5_6(self):
input_path = get_true_sentance_pattern_5_6()
verb_list = {'verbs': ['produce', 'degrade']}
target = PatternFinder(verb_list, LancasterStemmer())
expected = [('pattern 6', 'degrade'), ('pattern 5', 'degrade')]
actual = target.find_patterns(input_path)
np.testing.assert_equal(np.array(actual).sort(), np.array(expected).sort())
def test_find_pattern_6(self):
input_path = get_true_sentance_pattern_6()
verb_list = {'verbs': ['produce', 'degrade']}
target = PatternFinder(verb_list, LancasterStemmer())
expected = [('pattern 6', 'produce')]
actual = target.find_patterns(input_path)
self.assertEqual(actual, expected)
