mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 04:08:09 +03:00
73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
# coding: utf8
|
|
from __future__ import unicode_literals
|
|
|
|
import pytest
|
|
import numpy.random
|
|
from thinc.neural.optimizers import Adam
|
|
from thinc.neural.ops import NumpyOps
|
|
from spacy.attrs import NORM
|
|
from spacy.gold import GoldParse
|
|
from spacy.vocab import Vocab
|
|
from spacy.tokens import Doc
|
|
from spacy.pipeline import DependencyParser
|
|
|
|
|
|
@pytest.fixture
|
|
def vocab():
|
|
return Vocab(lex_attr_getters={NORM: lambda s: s})
|
|
|
|
|
|
@pytest.fixture
|
|
def parser(vocab):
|
|
parser = DependencyParser(vocab)
|
|
parser.cfg['token_vector_width'] = 8
|
|
parser.cfg['hidden_width'] = 30
|
|
parser.cfg['hist_size'] = 0
|
|
parser.add_label('left')
|
|
parser.begin_training([], **parser.cfg)
|
|
sgd = Adam(NumpyOps(), 0.001)
|
|
|
|
for i in range(10):
|
|
losses = {}
|
|
doc = Doc(vocab, words=['a', 'b', 'c', 'd'])
|
|
gold = GoldParse(doc, heads=[1, 1, 3, 3],
|
|
deps=['left', 'ROOT', 'left', 'ROOT'])
|
|
parser.update([doc], [gold], sgd=sgd, losses=losses)
|
|
return parser
|
|
|
|
|
|
def test_init_parser(parser):
|
|
pass
|
|
|
|
|
|
# TODO: This is flakey, because it depends on what the parser first learns.
|
|
# TODO: This now seems to be implicated in segfaults. Not sure what's up!
|
|
@pytest.mark.skip
|
|
def test_add_label(parser):
|
|
doc = Doc(parser.vocab, words=['a', 'b', 'c', 'd'])
|
|
doc = parser(doc)
|
|
assert doc[0].head.i == 1
|
|
assert doc[0].dep_ == 'left'
|
|
assert doc[1].head.i == 1
|
|
assert doc[2].head.i == 3
|
|
assert doc[2].head.i == 3
|
|
parser.add_label('right')
|
|
doc = Doc(parser.vocab, words=['a', 'b', 'c', 'd'])
|
|
doc = parser(doc)
|
|
assert doc[0].head.i == 1
|
|
assert doc[0].dep_ == 'left'
|
|
assert doc[1].head.i == 1
|
|
assert doc[2].head.i == 3
|
|
assert doc[2].head.i == 3
|
|
sgd = Adam(NumpyOps(), 0.001)
|
|
for i in range(10):
|
|
losses = {}
|
|
doc = Doc(parser.vocab, words=['a', 'b', 'c', 'd'])
|
|
gold = GoldParse(doc, heads=[1, 1, 3, 3],
|
|
deps=['right', 'ROOT', 'left', 'ROOT'])
|
|
parser.update([doc], [gold], sgd=sgd, losses=losses)
|
|
doc = Doc(parser.vocab, words=['a', 'b', 'c', 'd'])
|
|
doc = parser(doc)
|
|
assert doc[0].dep_ == 'right'
|
|
assert doc[2].dep_ == 'left'
|