2015-04-07 02:52:25 +00:00
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from __future__ import unicode_literals
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import pytest
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2015-09-12 02:23:35 +00:00
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# This approach is deprecated for now
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#
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#@pytest.mark.models
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#def test_am_pm(en_nlp):
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# numbers = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12']
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# variants = ['a.m.', 'am', 'p.m.', 'pm']
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# spaces = ['', ' ']
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# for num in numbers:
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# for var in variants:
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# for space in spaces:
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# string = u"The meeting was at %s%s%s wasn't it?" % (num, space, var)
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# tokens = en_nlp(string, merge_mwes=True)
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# assert tokens[4].orth_ == '%s%s%s' % (num, space, var)
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# ents = list(tokens.ents)
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# assert len(ents) == 1, ents
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# assert ents[0].label_ == 'TIME', string
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# if ents[0].start == 4 and ents[0].end == 5:
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# assert ents[0].orth_ == '%s%s%s' % (num, space, var)
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