wehub-resource-sync
40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
import unittest
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from hanlp_trie import TrieDict
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class TestTrieDict(unittest.TestCase):
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def setUp(self) -> None:
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super().setUp()
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self.text = '第一个词语很重要，第二个词语也很重要'
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self.trie_dict = TrieDict({'重要': 'important'})
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def test_tokenize(self):
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self.assertEqual([(6, 8, 'important'), (16, 18, 'important')], self.trie_dict.tokenize(self.text))
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def test_split_batch(self):
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data = [self.text]
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new_data, new_data_belongs, parts = self.trie_dict.split_batch(data)
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predictions = [list(x) for x in new_data]
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self.assertSequenceEqual(
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[['第', '一', '个', '词', '语', '很', 'important', '，', '第', '二', '个', '词', '语', '也', '很', 'important']],
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self.trie_dict.merge_batch(data, predictions, new_data_belongs, parts))
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def test_tokenize_2(self):
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t = TrieDict({'次世代', '生产环境'})
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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。'),
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[(15, 19, True), (21, 24, True)])
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def test_empty_dict(self):
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trie_dict = TrieDict()
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self.assertFalse(bool(trie_dict))
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trie_dict['one'] = 1
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self.assertTrue(bool(trie_dict))
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del trie_dict['one']
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self.assertFalse(bool(trie_dict))
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if __name__ == '__main__':
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unittest.main()
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