mirror of https://github.com/explosion/spaCy.git
30 lines
911 B
Python
30 lines
911 B
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from ...lang.en import English
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from ...matcher import Matcher
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def get_rule_id(nlp, matcher, doc):
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matches = matcher(doc)
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for match_id, start, end in matches:
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rule_id = nlp.vocab.strings[match_id]
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span = doc[start:end]
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return rule_id
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def test_issue2671():
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'''Ensure the correct entity ID is returned for matches with quantifiers.
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See also #2675
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'''
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nlp = English()
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matcher = Matcher(nlp.vocab)
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pattern = [{'LOWER': 'high'}, {'IS_PUNCT': True, 'OP': '?'}, {'LOWER': 'adrenaline'}]
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matcher.add("test_pattern", None, pattern)
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doc1 = nlp("This is a high-adrenaline situation.")
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doc2 = nlp("This is a high adrenaline situation.")
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# Works correctly
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assert get_rule_id(nlp, matcher, doc1) == 'test_pattern'
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assert get_rule_id(nlp, matcher, doc2) == 'test_pattern'
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