mirror of https://github.com/explosion/spaCy.git
24 lines
641 B
Python
24 lines
641 B
Python
import pytest
|
|
import numpy
|
|
|
|
from spacy.lang.en import English
|
|
from spacy.vocab import Vocab
|
|
|
|
|
|
def test_issue4725():
|
|
# ensures that this runs correctly and doesn't hang or crash because of the global vectors
|
|
vocab = Vocab(vectors_name="test_vocab_add_vector")
|
|
data = numpy.ndarray((5, 3), dtype="f")
|
|
data[0] = 1.0
|
|
data[1] = 2.0
|
|
vocab.set_vector("cat", data[0])
|
|
vocab.set_vector("dog", data[1])
|
|
|
|
nlp = English(vocab=vocab)
|
|
ner = nlp.create_pipe("ner")
|
|
nlp.add_pipe(ner)
|
|
nlp.begin_training()
|
|
docs = ["Kurt is in London."] * 10
|
|
for _ in nlp.pipe(docs, batch_size=2, n_process=2):
|
|
pass
|