mirror of
https://github.com/explosion/spaCy.git
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084271c9e9
* Move get_parses_from_example to spacy.syntax * Get GoldParse out of Example * Avoid expecting GoldParse input in parser * Add Alignment to spacy.gold.align * Update Example object * Add comment * Update pipeline * Fix imports * Simplify gold_io * WIP on GoldCorpus * Update test * Xfail some gold tests * Remove ignore_misaligned option from GoldCorpus * Fix Example constructor * Update test * Fix usage of Example * Add deprecated_get_gold method on Example * Patch scorer * Fix test * Fix test * Update tests * Xfail a test * Fix passing of make_projective * Pass make_projective by default * Hack data format in Example.from_dict * Update tests * Fix example.from_dict * Update morphologizer * Fix entity linker * Add get_field to TokenAnnotation * Fix Example.get_aligned * Update test * Fix alignment * Fix corpus * Fix GoldCorpus * Handle misaligned * Format * Fix missing import
73 lines
1.9 KiB
Python
73 lines
1.9 KiB
Python
import pytest
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from thinc.api import Adam
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from spacy.attrs import NORM
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from spacy.vocab import Vocab
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from spacy.pipeline.defaults import default_parser
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from spacy.tokens import Doc
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from spacy.pipeline import DependencyParser
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@pytest.fixture
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def vocab():
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return Vocab(lex_attr_getters={NORM: lambda s: s})
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@pytest.fixture
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def parser(vocab):
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parser = DependencyParser(vocab, default_parser())
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parser.cfg["token_vector_width"] = 4
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parser.cfg["hidden_width"] = 32
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# parser.add_label('right')
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parser.add_label("left")
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parser.begin_training([], **parser.cfg)
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sgd = Adam(0.001)
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for i in range(10):
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losses = {}
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doc = Doc(vocab, words=["a", "b", "c", "d"])
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gold = dict(heads=[1, 1, 3, 3], deps=["left", "ROOT", "left", "ROOT"])
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parser.update((doc, gold), sgd=sgd, losses=losses)
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return parser
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def test_no_sentences(parser):
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doc = Doc(parser.vocab, words=["a", "b", "c", "d"])
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doc = parser(doc)
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assert len(list(doc.sents)) >= 1
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def test_sents_1(parser):
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doc = Doc(parser.vocab, words=["a", "b", "c", "d"])
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doc[2].sent_start = True
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doc = parser(doc)
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assert len(list(doc.sents)) >= 2
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doc = Doc(parser.vocab, words=["a", "b", "c", "d"])
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doc[1].sent_start = False
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doc[2].sent_start = True
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doc[3].sent_start = False
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doc = parser(doc)
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assert len(list(doc.sents)) == 2
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def test_sents_1_2(parser):
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doc = Doc(parser.vocab, words=["a", "b", "c", "d"])
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doc[1].sent_start = True
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doc[2].sent_start = True
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doc = parser(doc)
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assert len(list(doc.sents)) >= 3
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def test_sents_1_3(parser):
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doc = Doc(parser.vocab, words=["a", "b", "c", "d"])
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doc[1].sent_start = True
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doc[3].sent_start = True
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doc = parser(doc)
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assert len(list(doc.sents)) >= 3
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doc = Doc(parser.vocab, words=["a", "b", "c", "d"])
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doc[1].sent_start = True
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doc[2].sent_start = False
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doc[3].sent_start = True
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doc = parser(doc)
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assert len(list(doc.sents)) == 3
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