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46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
# coding: utf-8
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"""Test that longer and mixed texts are tokenized correctly."""
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from __future__ import unicode_literals
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import pytest
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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('text,length', [
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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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pytest.mark.xfail(("But then the 6,000-year ice age came...", 10))])
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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('text,match', [
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('10', True), ('1', True), ('10,000', True), ('10,00', True),
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('999.0', True), ('one', True), ('two', True), ('billion', True),
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('dog', False), (',', False), ('1/2', True)])
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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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