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Support removing extra values in fill-config (#5966)

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* Support removing extra values in fill-config

* Fix test
This commit is contained in:
Ines Montani 2020-08-24 22:53:47 +02:00 committed by GitHub
parent f232d8db96
commit e12b03358b
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5 changed files with 18 additions and 5 deletions
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2
pyproject.toml
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@ -6,7 +6,7 @@ requires = [
"cymem>=2.0.2,<2.1.0",
"preshed>=3.0.2,<3.1.0",
"murmurhash>=0.28.0,<1.1.0",
"thinc>=8.0.0a29,<8.0.0a40",
"thinc>=8.0.0a30,<8.0.0a40",
"blis>=0.4.0,<0.5.0",
"pytokenizations",
"pathy"

2
requirements.txt
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@ -1,7 +1,7 @@
# Our libraries
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
thinc>=8.0.0a29,<8.0.0a40
thinc>=8.0.0a30,<8.0.0a40
blis>=0.4.0,<0.5.0
ml_datasets>=0.1.1
murmurhash>=0.28.0,<1.1.0

4
setup.cfg
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@ -34,13 +34,13 @@ setup_requires =
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
murmurhash>=0.28.0,<1.1.0
thinc>=8.0.0a29,<8.0.0a40
thinc>=8.0.0a30,<8.0.0a40
install_requires =
# Our libraries
murmurhash>=0.28.0,<1.1.0
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
thinc>=8.0.0a29,<8.0.0a40
thinc>=8.0.0a30,<8.0.0a40
blis>=0.4.0,<0.5.0
wasabi>=0.7.1,<1.1.0
srsly>=2.1.0,<3.0.0

5
spacy/cli/init_config.py
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@ -70,7 +70,10 @@ def fill_config(
msg = Printer(no_print=is_stdout)
with show_validation_error(hint_fill=False):
config = util.load_config(base_path)
nlp, _ = util.load_model_from_config(config, auto_fill=True)
nlp, _ = util.load_model_from_config(config, auto_fill=True, validate=False)
# Load a second time with validation to be extra sure that the produced
# config result is a valid config
nlp, _ = util.load_model_from_config(nlp.config)
filled = nlp.config
if pretraining:
validate_config_for_pretrain(filled, msg)

10
spacy/tests/serialize/test_serialize_config.py
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@ -313,3 +313,13 @@ def test_config_optional_sections():
# also how Config.interpolate works under the hood.
new_config = Config().from_str(filled.to_str())
assert new_config["pretraining"] == {}
def test_config_auto_fill_extra_fields():
config = Config({"nlp": {"lang": "en"}, "training": {}})
assert load_model_from_config(config, auto_fill=True)
config = Config({"nlp": {"lang": "en"}, "training": {"extra": "hello"}})
nlp, _ = load_model_from_config(config, auto_fill=True, validate=False)
assert "extra" not in nlp.config["training"]
# Make sure the config generated is valid
load_model_from_config(nlp.config)