mirror of https://github.com/explosion/spaCy.git
83 lines
3.3 KiB
Python
83 lines
3.3 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from spacy.gold import biluo_tags_from_offsets, offsets_from_biluo_tags
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from spacy.gold import docs_to_json
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from spacy.tokens import Doc
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from .util import get_doc
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def test_gold_biluo_U(en_vocab):
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orths_and_spaces = [('I', True), ('flew', True), ('to', True),
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('London', False), ('.', True)]
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doc = Doc(en_vocab, orths_and_spaces=orths_and_spaces)
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entities = [(len("I flew to "), len("I flew to London"), 'LOC')]
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ['O', 'O', 'O', 'U-LOC', 'O']
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def test_gold_biluo_BL(en_vocab):
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orths_and_spaces = [('I', True), ('flew', True), ('to', True), ('San', True),
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('Francisco', False), ('.', True)]
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doc = Doc(en_vocab, orths_and_spaces=orths_and_spaces)
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entities = [(len("I flew to "), len("I flew to San Francisco"), 'LOC')]
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ['O', 'O', 'O', 'B-LOC', 'L-LOC', 'O']
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def test_gold_biluo_BIL(en_vocab):
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orths_and_spaces = [('I', True), ('flew', True), ('to', True), ('San', True),
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('Francisco', True), ('Valley', False), ('.', True)]
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doc = Doc(en_vocab, orths_and_spaces=orths_and_spaces)
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entities = [(len("I flew to "), len("I flew to San Francisco Valley"), 'LOC')]
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ['O', 'O', 'O', 'B-LOC', 'I-LOC', 'L-LOC', 'O']
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def test_gold_biluo_misalign(en_vocab):
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orths_and_spaces = [('I', True), ('flew', True), ('to', True), ('San', True),
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('Francisco', True), ('Valley.', False)]
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doc = Doc(en_vocab, orths_and_spaces=orths_and_spaces)
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entities = [(len("I flew to "), len("I flew to San Francisco Valley"), 'LOC')]
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ['O', 'O', 'O', '-', '-', '-']
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def test_roundtrip_offsets_biluo_conversion(en_tokenizer):
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text = "I flew to Silicon Valley via London."
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biluo_tags = ['O', 'O', 'O', 'B-LOC', 'L-LOC', 'O', 'U-GPE', 'O']
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offsets = [(10, 24, 'LOC'), (29, 35, 'GPE')]
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doc = en_tokenizer(text)
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biluo_tags_converted = biluo_tags_from_offsets(doc, offsets)
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assert biluo_tags_converted == biluo_tags
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offsets_converted = offsets_from_biluo_tags(doc, biluo_tags)
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assert offsets_converted == offsets
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def test_docs_to_json(en_vocab):
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'''Test we can convert a list of Doc objects into the JSON-serializable
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format we use for training.
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'''
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docs = [
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get_doc(
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en_vocab,
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words=['a', 'b'],
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pos=['VBP', 'NN'],
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heads=[0, -1],
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deps=['ROOT', 'dobj'],
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ents=[]),
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get_doc(
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en_vocab,
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words=['c', 'd', 'e'],
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pos=['VBP', 'NN', 'NN'],
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heads=[0, -1, -2],
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deps=['ROOT', 'dobj', 'dobj'],
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ents=[(1, 2, 'ORG')]),
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]
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json_doc = docs_to_json(0, docs)
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assert json_doc['id'] == 0
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assert len(json_doc['paragraphs']) == 2
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assert len(json_doc['paragraphs'][0]['sentences']) == 1
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assert len(json_doc['paragraphs'][1]['sentences']) == 1
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assert len(json_doc['paragraphs'][0]['sentences'][0]['tokens']) == 2
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assert len(json_doc['paragraphs'][1]['sentences'][0]['tokens']) == 3
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