spaCy/tests/spans/test_times.py

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from __future__ import unicode_literals
import pytest
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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']
variants = ['a.m.', 'am', 'p.m.', 'pm']
spaces = ['', ' ']
for num in numbers:
for var in variants:
for space in spaces:
string = u"The meeting was at %s%s%s wasn't it?" % (num, space, var)
tokens = en_nlp(string, merge_mwes=True)
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assert tokens[4].orth_ == '%s%s%s' % (num, space, var)
ents = list(tokens.ents)
assert len(ents) == 1
assert ents[0].label_ == 'TIME', string
if ents[0].start == 4 and ents[0].end == 5:
assert ents[0].orth_ == '%s%s%s' % (num, space, var)