explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-01-24 08:14:15 +03:00
Code Issues Packages Projects Releases Wiki Activity

Auto-format code with black (#11687)

Browse Source 
Co-authored-by: explosion-bot <explosion-bot@users.noreply.github.com>
This commit is contained in:
github-actions[bot] 2022-10-21 11:54:17 +02:00 committed by GitHub
parent fb280001cc
commit 84d9cb6b38
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 16 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
spacy/tests/pipeline/test_tok2vec.py
View File

@ -274,8 +274,12 @@ def test_tok2vec_frozen_not_annotating():
for i in range(2): for i in range(2):
losses = {} losses = {}
with pytest.raises(ValueError, match=r"the tok2vec embedding layer is not updated"): with pytest.raises(
nlp.update(train_examples, sgd=optimizer, losses=losses, exclude=["tok2vec"]) ValueError, match=r"the tok2vec embedding layer is not updated"
):
nlp.update(
train_examples, sgd=optimizer, losses=losses, exclude=["tok2vec"]
)
def test_tok2vec_frozen_overfitting(): def test_tok2vec_frozen_overfitting():
@ -289,7 +293,13 @@ def test_tok2vec_frozen_overfitting():
for i in range(100): for i in range(100):
losses = {} losses = {}
nlp.update(train_examples, sgd=optimizer, losses=losses, exclude=["tok2vec"], annotates=["tok2vec"]) nlp.update(
train_examples,
sgd=optimizer,
losses=losses,
exclude=["tok2vec"],
annotates=["tok2vec"],
)
assert losses["tagger"] < 0.0001 assert losses["tagger"] < 0.0001
# test the trained model # test the trained model