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Fix multiple context manages in examples (#5690)

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Adriane Boyd 2020-07-02 10:36:07 +02:00 committed by GitHub
parent 6bc643d2e2
commit 2bd78c39e3
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3 changed files with 3 additions and 3 deletions
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2
examples/training/rehearsal.py
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@ -67,7 +67,7 @@ def main(model_name, unlabelled_loc):
pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
sizes = compounding(1.0, 4.0, 1.001)
with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings():
with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
# show warnings for misaligned entity spans once
warnings.filterwarnings("once", category=UserWarning, module='spacy')

2
examples/training/train_ner.py
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@ -59,7 +59,7 @@ def main(model=None, output_dir=None, n_iter=100):
pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
# only train NER
with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings():
with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
# show warnings for misaligned entity spans once
warnings.filterwarnings("once", category=UserWarning, module='spacy')

2
examples/training/train_new_entity_type.py
View File

@ -99,7 +99,7 @@ def main(model=None, new_model_name="animal", output_dir=None, n_iter=30):
pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
# only train NER
with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings():
with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
# show warnings for misaligned entity spans once
warnings.filterwarnings("once", category=UserWarning, module='spacy')