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29 lines
869 B
Python
29 lines
869 B
Python
# coding: utf-8
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from __future__ import unicode_literals
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from spacy.lang.en import English
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from spacy.matcher import Matcher
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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_id = "test_pattern"
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pattern = [
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{"LOWER": "high"},
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{"IS_PUNCT": True, "OP": "?"},
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{"LOWER": "adrenaline"},
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]
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matcher.add(pattern_id, 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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matches1 = matcher(doc1)
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for match_id, start, end in matches1:
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assert nlp.vocab.strings[match_id] == pattern_id
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matches2 = matcher(doc2)
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for match_id, start, end in matches2:
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assert nlp.vocab.strings[match_id] == pattern_id
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