spaCy/spacy/tests/regression/test_issue1727.py

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2018-01-23 21:11:53 +03:00
'''Test that models with no pretrained vectors can be deserialized correctly
after vectors are added.'''
2018-01-23 21:11:01 +03:00
from __future__ import unicode_literals
import numpy
from ...pipeline import Tagger
from ...vectors import Vectors
from ...vocab import Vocab
from ..util import make_tempdir
def test_issue1727():
data = numpy.ones((3, 300), dtype='f')
keys = [u'I', u'am', u'Matt']
vectors = Vectors(data=data, keys=keys)
tagger = Tagger(Vocab())
tagger.add_label('PRP')
tagger.begin_training()
assert tagger.cfg.get('pretrained_dims', 0) == 0
tagger.vocab.vectors = vectors
with make_tempdir() as path:
tagger.to_disk(path)
tagger = Tagger(Vocab()).from_disk(path)
assert tagger.cfg.get('pretrained_dims', 0) == 0