mirror of https://github.com/explosion/spaCy.git
36 lines
1019 B
Python
36 lines
1019 B
Python
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# coding: utf-8
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from __future__ import unicode_literals
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from ...pipeline import EntityRecognizer
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from ..util import get_doc
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from ...tokens import Span
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import pytest
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def test_doc_add_entities_set_ents_iob(en_vocab):
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text = ["This", "is", "a", "lion"]
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doc = get_doc(en_vocab, text)
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ner = EntityRecognizer(en_vocab)
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ner.begin_training([])
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ner(doc)
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assert len(list(doc.ents)) == 0
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assert [w.ent_iob_ for w in doc] == (['O'] * len(doc))
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doc.ents = [(doc.vocab.strings['ANIMAL'], 3, 4)]
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assert [w.ent_iob_ for w in doc] == ['', '', '', 'B']
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doc.ents = [(doc.vocab.strings['WORD'], 0, 2)]
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assert [w.ent_iob_ for w in doc] == ['B', 'I', '', '']
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def test_add_overlapping_entities(en_vocab):
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text = ["Louisiana", "Office", "of", "Conservation"]
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doc = get_doc(en_vocab, text)
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entity = Span(doc, 0, 4, label=391)
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doc.ents = [entity]
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new_entity = Span(doc, 0, 1, label=392)
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with pytest.raises(ValueError):
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doc.ents = list(doc.ents) + [new_entity]
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