class TestTrieDict(unittest.TestCase):
def setUp(self) -> None:
super().setUp()
self.text = '第一个词语很重要，第二个词语也很重要'
self.trie_dict = TrieDict({'重要': 'important'})
def test_tokenize(self):
self.assertEqual([(6, 8, 'important'), (16, 18, 'important')],
self.trie_dict.tokenize(self.text))
def test_split_batch(self):
data = [self.text]
new_data, new_data_belongs, parts = self.trie_dict.split_batch(data)
predictions = [list(x) for x in new_data]
self.assertSequenceEqual([[
'第', '一', '个', '词', '语', '很', 'important', '，', '第', '二', '个', '词',
'语', '也', '很', 'important'
]],
self.trie_dict.merge_batch(
data, predictions, new_data_belongs,
parts))
def test_tokenize_2(self):
t = TrieDict({'次世代', '生产环境'})
self.assertSequenceEqual(
t.tokenize('2021年HanLPv2.1为生产环境带来次世代最先进的多语种NLP技术。'),
[(15, 19, True), (21, 24, True)])
def test_empty_dict(self):
trie_dict = TrieDict()
self.assertFalse(bool(trie_dict))
trie_dict['one'] = 1
self.assertTrue(bool(trie_dict))
del trie_dict['one']
self.assertFalse(bool(trie_dict))
def test_tokenize_2(self):
t = TrieDict({'次世代', '生产环境'})
self.assertSequenceEqual(
t.tokenize('2021年HanLPv2.1为生产环境带来次世代最先进的多语种NLP技术。'),
[(15, 19, True), (21, 24, True)])