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68 lines
1.9 KiB
Python
68 lines
1.9 KiB
Python
import pytest
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from spacy.lang.en.lex_attrs import like_num
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def test_en_tokenizer_handles_long_text(en_tokenizer):
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text = """Tributes pour in for late British Labour Party leader
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Tributes poured in from around the world Thursday
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to the late Labour Party leader John Smith, who died earlier from a massive
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heart attack aged 55.
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In Washington, the US State Department issued a statement regretting "the
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untimely death" of the rapier-tongued Scottish barrister and parliamentarian.
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"Mr. Smith, throughout his distinguished"""
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tokens = en_tokenizer(text)
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assert len(tokens) == 76
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@pytest.mark.parametrize(
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"text,length",
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[
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("The U.S. Army likes Shock and Awe.", 8),
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("U.N. regulations are not a part of their concern.", 10),
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("“Isn't it?”", 6),
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("""Yes! "I'd rather have a walk", Ms. Comble sighed. """, 15),
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("""'Me too!', Mr. P. Delaware cried. """, 11),
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("They ran about 10km.", 6),
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("But then the 6,000-year ice age came...", 10),
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],
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)
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def test_en_tokenizer_handles_cnts(en_tokenizer, text, length):
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tokens = en_tokenizer(text)
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assert len(tokens) == length
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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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("one", True),
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("two", True),
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("billion", True),
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("dog", 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_lex_attrs_like_number(en_tokenizer, text, match):
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tokens = en_tokenizer(text)
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assert len(tokens) == 1
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assert tokens[0].like_num == match
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@pytest.mark.parametrize("word", ["third", "Millionth", "100th", "Hundredth"])
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def test_en_lex_attrs_like_number_for_ordinal(word):
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assert like_num(word)
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@pytest.mark.parametrize("word", ["eleven"])
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def test_en_lex_attrs_capitals(word):
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assert like_num(word)
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assert like_num(word.upper())
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