spaCy/spacy/tests/regression/test_issue2671.py
2018-08-15 17:18:28 +02:00

30 lines
911 B
Python

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