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https://github.com/explosion/spaCy.git
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39815513e2
* Add split one token into several (resolves #2838) * Improve error message for token splitting * Make retokenizer.split() tests use a Token object Change retokenizer.split() to use a Token object, instead of an index. * Pass Token into retokenize.split() Tweak retokenize.split() API so that we pass the `Token` object, not the index. * Fix token.idx in retokenize.split() * Test that token.idx is correct after split * Fix token.idx for split tokens * Fix retokenize.split() * Fix retokenize.split * Fix retokenize.split() test
115 lines
3.6 KiB
Python
115 lines
3.6 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from ..util import get_doc
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from ...vocab import Vocab
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from ...tokens import Doc
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from ...tokens import Span
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import pytest
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def test_doc_split(en_tokenizer):
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text = "LosAngeles start."
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heads = [1, 1, 0]
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, [t.text for t in tokens], heads=heads)
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assert len(doc) == 3
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assert len(str(doc)) == 19
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assert doc[0].head.text == 'start'
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assert doc[1].head.text == '.'
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with doc.retokenize() as retokenizer:
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retokenizer.split(doc[0], ["Los", "Angeles"], [1, 0], attrs={'tag':'NNP', 'lemma':'Los Angeles', 'ent_type':'GPE'})
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assert len(doc) == 4
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assert doc[0].text == 'Los'
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assert doc[0].head.text == 'Angeles'
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assert doc[0].idx == 0
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assert doc[1].idx == 3
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assert doc[1].text == 'Angeles'
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assert doc[1].head.text == 'start'
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assert doc[2].text == 'start'
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assert doc[2].head.text == '.'
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assert doc[3].text == '.'
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assert doc[3].head.text == '.'
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assert len(str(doc)) == 19
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def test_split_dependencies(en_tokenizer):
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text = "LosAngeles start."
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, [t.text for t in tokens])
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dep1 = doc.vocab.strings.add('amod')
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dep2 = doc.vocab.strings.add('subject')
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with doc.retokenize() as retokenizer:
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retokenizer.split(doc[0], ["Los", "Angeles"], [1, 0], [dep1, dep2])
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assert doc[0].dep == dep1
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assert doc[1].dep == dep2
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def test_split_heads_error(en_tokenizer):
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text = "LosAngeles start."
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, [t.text for t in tokens])
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#Not enough heads
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with pytest.raises(ValueError):
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with doc.retokenize() as retokenizer:
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retokenizer.split(doc[0], ["Los", "Angeles"], [0])
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#Too many heads
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with pytest.raises(ValueError):
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with doc.retokenize() as retokenizer:
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retokenizer.split(doc[0], ["Los", "Angeles"], [1, 1, 0])
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#No token head
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with pytest.raises(ValueError):
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with doc.retokenize() as retokenizer:
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retokenizer.split(doc[0], ["Los", "Angeles"], [1, 1])
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#Several token heads
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with pytest.raises(ValueError):
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with doc.retokenize() as retokenizer:
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retokenizer.split(doc[0], ["Los", "Angeles"], [0, 0])
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def test_spans_entity_merge_iob():
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# Test entity IOB stays consistent after merging
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words = ["abc", "d", "e"]
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doc = Doc(Vocab(), words=words)
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doc.ents = [(doc.vocab.strings.add('ent-abcd'), 0, 2)]
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assert doc[0].ent_iob_ == "B"
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assert doc[1].ent_iob_ == "I"
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with doc.retokenize() as retokenizer:
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retokenizer.split(doc[0], ["a", "b", "c"], [1, 1, 0])
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assert doc[0].ent_iob_ == "B"
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assert doc[1].ent_iob_ == "I"
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assert doc[2].ent_iob_ == "I"
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assert doc[3].ent_iob_ == "I"
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def test_spans_sentence_update_after_merge(en_tokenizer):
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text = "StewartLee is a stand up comedian. He lives in England and loves JoePasquale."
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heads = [1, 0, 1, 2, -1, -4, -5, 1, 0, -1, -1, -3, -4, 1, -2]
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deps = ['nsubj', 'ROOT', 'det', 'amod', 'prt', 'attr',
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'punct', 'nsubj', 'ROOT', 'prep', 'pobj', 'cc', 'conj',
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'compound', 'punct']
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, [t.text for t in tokens], heads=heads, deps=deps)
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sent1, sent2 = list(doc.sents)
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init_len = len(sent1)
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init_len2 = len(sent2)
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with doc.retokenize() as retokenizer:
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retokenizer.split(doc[0], ["Stewart", "Lee"], [1, 0])
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retokenizer.split(doc[14], ["Joe", "Pasquale"], [1, 0])
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sent1, sent2 = list(doc.sents)
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assert len(sent1) == init_len + 1
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assert len(sent2) == init_len2 + 1
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