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db55577c45
* Remove unicode declarations * Remove Python 3.5 and 2.7 from CI * Don't require pathlib * Replace compat helpers * Remove OrderedDict * Use f-strings * Set Cython compiler language level * Fix typo * Re-add OrderedDict for Table * Update setup.cfg * Revert CONTRIBUTING.md * Revert lookups.md * Revert top-level.md * Small adjustments and docs [ci skip]
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
import pytest
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def test_lt_tokenizer_handles_long_text(lt_tokenizer):
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text = """Tokios sausros kriterijus atitinka pirmadienį atlikti skaičiavimai, palyginus faktinį ir žemiausią vidutinį daugiametį vandens lygį. Nustatyta, kad iš 48 šalies vandens matavimo stočių 28-iose stotyse vandens lygis yra žemesnis arba lygus žemiausiam vidutiniam daugiamečiam šiltojo laikotarpio vandens lygiui."""
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tokens = lt_tokenizer(text)
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assert len(tokens) == 42
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@pytest.mark.parametrize(
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"text,length",
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[
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(
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"177R Parodų rūmai–Ozo g. nuo vasario 18 d. bus skelbiamas interneto tinklalapyje.",
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15,
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),
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(
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"ISM universiteto doc. dr. Ieva Augutytė-Kvedaravičienė pastebi, kad tyrimais nustatyti elgesio pokyčiai.",
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16,
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),
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],
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)
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def test_lt_tokenizer_handles_punct_abbrev(lt_tokenizer, text, length):
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tokens = lt_tokenizer(text)
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assert len(tokens) == length
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@pytest.mark.parametrize("text", ["km.", "pvz.", "biol."])
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def test_lt_tokenizer_abbrev_exceptions(lt_tokenizer, text):
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tokens = lt_tokenizer(text)
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assert len(tokens) == 1
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@pytest.mark.parametrize(
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"text,match",
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[
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("10", True),
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("1", True),
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("10,000", True),
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("10,00", True),
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("999.0", True),
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("vienas", True),
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("du", True),
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("milijardas", True),
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("šuo", False),
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(",", False),
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("1/2", True),
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],
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)
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def test_lt_lex_attrs_like_number(lt_tokenizer, text, match):
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tokens = lt_tokenizer(text)
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assert len(tokens) == 1
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assert tokens[0].like_num == match
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