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30 lines
804 B
Python
30 lines
804 B
Python
from __future__ import unicode_literals
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import pytest
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import spacy
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from spacy.attrs import ORTH
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@pytest.mark.models
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def test_issue429():
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nlp = spacy.load('en', parser=False)
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def merge_phrases(matcher, doc, i, matches):
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if i != len(matches) - 1:
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return None
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spans = [(ent_id, label, doc[start:end]) for ent_id, label, start, end in matches]
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for ent_id, label, span in spans:
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span.merge('NNP' if label else span.root.tag_, span.text, nlp.vocab.strings[label])
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doc = nlp('a')
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nlp.matcher.add('key', label='TEST', attrs={}, specs=[[{ORTH: 'a'}]], on_match=merge_phrases)
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doc = nlp.tokenizer('a b c')
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nlp.tagger(doc)
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nlp.matcher(doc)
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for word in doc:
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print(word.text, word.ent_iob_, word.ent_type_)
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nlp.entity(doc)
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