mirror of
https://github.com/explosion/spaCy.git
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b6e991440c
* Auto-format tests with black * Add flake8 config * Tidy up and remove unused imports * Fix redefinitions of test functions * Replace orths_and_spaces with words and spaces * Fix compatibility with pytest 4.0 * xfail test for now Test was previously overwritten by following test due to naming conflict, so failure wasn't reported * Unfail passing test * Only use fixture via arguments Fixes pytest 4.0 compatibility
72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import pytest
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from thinc.neural.optimizers import Adam
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from thinc.neural.ops import NumpyOps
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from spacy.attrs import NORM
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from spacy.gold import GoldParse
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from spacy.vocab import Vocab
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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)
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parser.cfg["token_vector_width"] = 8
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parser.cfg["hidden_width"] = 30
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parser.cfg["hist_size"] = 0
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parser.add_label("left")
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parser.begin_training([], **parser.cfg)
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sgd = Adam(NumpyOps(), 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 = GoldParse(doc, 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_init_parser(parser):
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pass
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# TODO: This is flakey, because it depends on what the parser first learns.
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# TODO: This now seems to be implicated in segfaults. Not sure what's up!
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@pytest.mark.skip
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def test_add_label(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 doc[0].head.i == 1
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assert doc[0].dep_ == "left"
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assert doc[1].head.i == 1
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assert doc[2].head.i == 3
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assert doc[2].head.i == 3
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parser.add_label("right")
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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 doc[0].head.i == 1
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assert doc[0].dep_ == "left"
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assert doc[1].head.i == 1
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assert doc[2].head.i == 3
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assert doc[2].head.i == 3
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sgd = Adam(NumpyOps(), 0.001)
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for i in range(10):
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losses = {}
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doc = Doc(parser.vocab, words=["a", "b", "c", "d"])
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gold = GoldParse(
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doc, heads=[1, 1, 3, 3], deps=["right", "ROOT", "left", "ROOT"]
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)
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parser.update([doc], [gold], sgd=sgd, losses=losses)
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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 doc[0].dep_ == "right"
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assert doc[2].dep_ == "left"
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