mirror of https://github.com/explosion/spaCy.git
17 lines
615 B
Python
17 lines
615 B
Python
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import spacy
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import spacy.matcher
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import pytest
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@pytest.mark.models
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def test_matcher_segfault():
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nlp = spacy.load('en', parser=False, entity=False)
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matcher = spacy.matcher.Matcher(nlp.vocab)
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content = u'''a b; c'''
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matcher.add(entity_key='1', label='TEST', attrs={}, specs=[[{65: 'a'}, {65: 'b'}]])
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matcher(nlp(content))
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matcher.add(entity_key='2', label='TEST', attrs={}, specs=[[{65: 'a'}, {65: 'b'}, {5: True}, {65: 'c'}]])
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matcher(nlp(content))
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matcher.add(entity_key='3', label='TEST', attrs={}, specs=[[{65: 'a'}, {65: 'b'}, {5: True}, {65: 'd'}]])
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matcher(nlp(content))
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