mirror of https://github.com/explosion/spaCy.git
18 lines
496 B
Python
18 lines
496 B
Python
# coding: utf-8
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"""Words like numbers are recognized correctly."""
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from __future__ import unicode_literals
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import pytest
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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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('jeden', True), ('dwa', True), ('milion', True),
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('pies', False), (',', False), ('1/2', True)])
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def test_lex_attrs_like_number(pl_tokenizer, text, match):
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tokens = pl_tokenizer(text)
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assert len(tokens) == 1
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assert tokens[0].like_num == match
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