spaCy/spacy/tests/regression/test_issue118.py

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# coding: utf-8
"""Test a bug that arose from having overlapping matches"""
from __future__ import unicode_literals
from ...matcher import Matcher
from ...attrs import ORTH, LOWER
import pytest
pattern1 = [[{LOWER: 'celtics'}], [{LOWER: 'boston'}, {LOWER: 'celtics'}]]
pattern2 = [[{LOWER: 'boston'}, {LOWER: 'celtics'}], [{LOWER: 'celtics'}]]
pattern3 = [[{LOWER: 'boston'}], [{LOWER: 'boston'}, {LOWER: 'celtics'}]]
pattern4 = [[{LOWER: 'boston'}, {LOWER: 'celtics'}], [{LOWER: 'boston'}]]
@pytest.fixture
def doc(en_tokenizer):
text = "how many points did lebron james score against the boston celtics last night"
doc = en_tokenizer(text)
return doc
@pytest.mark.parametrize('pattern', [pattern1, pattern2])
def test_issue118(doc, pattern):
ORG = doc.vocab.strings['ORG']
matcher = Matcher(doc.vocab, {'BostonCeltics': ('ORG', {}, pattern)})
assert len(list(doc.ents)) == 0
matches = [(ent_type, start, end) for ent_id, ent_type, start, end in matcher(doc)]
assert matches == [(ORG, 9, 11), (ORG, 10, 11)]
doc.ents = matches[:1]
ents = list(doc.ents)
assert len(ents) == 1
assert ents[0].label == ORG
assert ents[0].start == 9
assert ents[0].end == 11
@pytest.mark.parametrize('pattern', [pattern3, pattern4])
def test_issue118_prefix_reorder(doc, pattern):
ORG = doc.vocab.strings['ORG']
matcher = Matcher(doc.vocab, {'BostonCeltics': ('ORG', {}, pattern)})
assert len(list(doc.ents)) == 0
matches = [(ent_type, start, end) for ent_id, ent_type, start, end in matcher(doc)]
doc.ents += tuple(matches)[1:]
assert matches == [(ORG, 9, 10), (ORG, 9, 11)]
ents = doc.ents
assert len(ents) == 1
assert ents[0].label == ORG
assert ents[0].start == 9
assert ents[0].end == 11