mirror of https://github.com/explosion/spaCy.git
59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
import pytest
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SV_TOKEN_EXCEPTION_TESTS = [
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(
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"Smörsåsen används bl.a. till fisk",
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["Smörsåsen", "används", "bl.a.", "till", "fisk"],
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),
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(
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"Jag kommer först kl. 13 p.g.a. diverse förseningar",
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["Jag", "kommer", "först", "kl.", "13", "p.g.a.", "diverse", "förseningar"],
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),
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(
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"Anders I. tycker om ord med i i.",
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["Anders", "I.", "tycker", "om", "ord", "med", "i", "i", "."],
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),
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]
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@pytest.mark.parametrize("text,expected_tokens", SV_TOKEN_EXCEPTION_TESTS)
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def test_sv_tokenizer_handles_exception_cases(sv_tokenizer, text, expected_tokens):
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tokens = sv_tokenizer(text)
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token_list = [token.text for token in tokens if not token.is_space]
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assert expected_tokens == token_list
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@pytest.mark.parametrize("text", ["driveru", "hajaru", "Serru", "Fixaru"])
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def test_sv_tokenizer_handles_verb_exceptions(sv_tokenizer, text):
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tokens = sv_tokenizer(text)
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assert len(tokens) == 2
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assert tokens[1].text == "u"
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@pytest.mark.parametrize("text", ["bl.a", "m.a.o.", "Jan.", "Dec.", "kr.", "osv."])
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def test_sv_tokenizer_handles_abbr(sv_tokenizer, text):
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tokens = sv_tokenizer(text)
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assert len(tokens) == 1
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@pytest.mark.parametrize("text", ["Jul.", "jul.", "sön.", "Sön."])
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def test_sv_tokenizer_handles_ambiguous_abbr(sv_tokenizer, text):
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tokens = sv_tokenizer(text)
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assert len(tokens) == 2
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def test_sv_tokenizer_handles_exc_in_text(sv_tokenizer):
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text = "Det är bl.a. inte meningen"
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tokens = sv_tokenizer(text)
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assert len(tokens) == 5
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assert tokens[2].text == "bl.a."
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def test_sv_tokenizer_handles_custom_base_exc(sv_tokenizer):
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text = "Här är något du kan titta på."
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tokens = sv_tokenizer(text)
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assert len(tokens) == 8
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assert tokens[6].text == "på"
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assert tokens[7].text == "."
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