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1 changed files with 13 additions and 2 deletions
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15
spacy/tests/pipeline/test_entity_linker.py
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@ -1076,12 +1076,23 @@ def test_no_gold_ents(patterns):
# this will run the pipeline on the examples and shouldn't crash # this will run the pipeline on the examples and shouldn't crash
results = nlp.evaluate(train_examples) results = nlp.evaluate(train_examples)
@pytest.mark.issue(9575) @pytest.mark.issue(9575)
def test_tokenization_mismatch(): def test_tokenization_mismatch():
nlp = English() nlp = English()
# include a matching entity so that update isn't skipped # include a matching entity so that update isn't skipped
doc1 = Doc(nlp.vocab, words=["Kirby", "123456"], spaces=[True, False], ents=["B-CHARACTER", "B-CARDINAL"]) doc1 = Doc(
doc2 = Doc(nlp.vocab, words=["Kirby", "123", "456"], spaces=[True, False, False], ents=["B-CHARACTER", "B-CARDINAL", "B-CARDINAL"]) nlp.vocab,
words=["Kirby", "123456"],
spaces=[True, False],
ents=["B-CHARACTER", "B-CARDINAL"],
)
doc2 = Doc(
nlp.vocab,
words=["Kirby", "123", "456"],
spaces=[True, False, False],
ents=["B-CHARACTER", "B-CARDINAL", "B-CARDINAL"],
)
eg = Example(doc1, doc2) eg = Example(doc1, doc2)
train_examples = [eg] train_examples = [eg]