spaCy/spacy/tests/regression/test_issue3345.py
2019-03-10 18:42:16 +01:00

27 lines
954 B
Python

# coding: utf8
from __future__ import unicode_literals
from spacy.lang.en import English
from spacy.tokens import Doc
from spacy.pipeline import EntityRuler, EntityRecognizer
def test_issue3345():
"""Test case where preset entity crosses sentence boundary."""
nlp = English()
doc = Doc(nlp.vocab, words=["I", "live", "in", "New", "York"])
doc[4].is_sent_start = True
ruler = EntityRuler(nlp, patterns=[{"label": "GPE", "pattern": "New York"}])
ner = EntityRecognizer(doc.vocab)
# Add the OUT action. I wouldn't have thought this would be necessary...
ner.moves.add_action(5, "")
ner.add_label("GPE")
doc = ruler(doc)
# Get into the state just before "New"
state = ner.moves.init_batch([doc])[0]
ner.moves.apply_transition(state, "O")
ner.moves.apply_transition(state, "O")
ner.moves.apply_transition(state, "O")
# Check that B-GPE is valid.
assert ner.moves.is_valid(state, "B-GPE")