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import pytest
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from thinc.api import ConfigValidationError
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from spacy.lang.zh import Chinese, _get_pkuseg_trie_data
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# fmt: off
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TEXTS = ("作为语言而言，为世界使用人数最多的语言，目前世界有五分之一人口做为母语。",)
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JIEBA_TOKENIZER_TESTS = [
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(TEXTS[0],
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['作为', '语言', '而言', '，', '为', '世界', '使用', '人', '数最多',
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'的', '语言', '，', '目前', '世界', '有', '五分之一', '人口', '做',
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'为', '母语', '。']),
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]
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PKUSEG_TOKENIZER_TESTS = [
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(TEXTS[0],
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['作为', '语言', '而言', '，', '为', '世界', '使用', '人数', '最多',
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'的', '语言', '，', '目前', '世界', '有', '五分之一', '人口', '做为',
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'母语', '。']),
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]
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# fmt: on
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@pytest.mark.parametrize("text", TEXTS)
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def test_zh_tokenizer_char(zh_tokenizer_char, text):
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tokens = [token.text for token in zh_tokenizer_char(text)]
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assert tokens == list(text)
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@pytest.mark.parametrize("text,expected_tokens", JIEBA_TOKENIZER_TESTS)
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def test_zh_tokenizer_jieba(zh_tokenizer_jieba, text, expected_tokens):
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tokens = [token.text for token in zh_tokenizer_jieba(text)]
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assert tokens == expected_tokens
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@pytest.mark.parametrize("text,expected_tokens", PKUSEG_TOKENIZER_TESTS)
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def test_zh_tokenizer_pkuseg(zh_tokenizer_pkuseg, text, expected_tokens):
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tokens = [token.text for token in zh_tokenizer_pkuseg(text)]
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assert tokens == expected_tokens
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def test_zh_tokenizer_pkuseg_user_dict(zh_tokenizer_pkuseg, zh_tokenizer_char):
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user_dict = _get_pkuseg_trie_data(zh_tokenizer_pkuseg.pkuseg_seg.preprocesser.trie)
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zh_tokenizer_pkuseg.pkuseg_update_user_dict(["nonsense_asdf"])
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updated_user_dict = _get_pkuseg_trie_data(
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zh_tokenizer_pkuseg.pkuseg_seg.preprocesser.trie
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)
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assert len(user_dict) == len(updated_user_dict) - 1
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# reset user dict
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zh_tokenizer_pkuseg.pkuseg_update_user_dict([], reset=True)
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reset_user_dict = _get_pkuseg_trie_data(
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zh_tokenizer_pkuseg.pkuseg_seg.preprocesser.trie
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)
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assert len(reset_user_dict) == 0
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# warn if not relevant
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with pytest.warns(UserWarning):
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zh_tokenizer_char.pkuseg_update_user_dict(["nonsense_asdf"])
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def test_zh_extra_spaces(zh_tokenizer_char):
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# note: three spaces after "I"
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tokens = zh_tokenizer_char("I like cheese.")
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assert tokens[1].orth_ == " "
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def test_zh_unsupported_segmenter():
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config = {"nlp": {"tokenizer": {"segmenter": "unk"}}}
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with pytest.raises(ConfigValidationError):
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Chinese.from_config(config)
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def test_zh_uninitialized_pkuseg():
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config = {"nlp": {"tokenizer": {"segmenter": "char"}}}
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nlp = Chinese.from_config(config)
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nlp.tokenizer.segmenter = "pkuseg"
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with pytest.raises(ValueError):
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nlp("test")
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