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Raise for bad Vocab values
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@ -480,6 +480,9 @@ class Errors:
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E201 = ("Span index out of range.")
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E201 = ("Span index out of range.")
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# TODO: fix numbering after merging develop into master
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# TODO: fix numbering after merging develop into master
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E918 = ("Received invalid value for vocab: {vocab} ({vocab_type}). Valid "
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"values are an instance of spacy.vocab.Vocab or True to create one"
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" (default).")
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E919 = ("A textcat 'positive_label' '{pos_label}' was provided for training "
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E919 = ("A textcat 'positive_label' '{pos_label}' was provided for training "
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"data that does not appear to be a binary classification problem "
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"data that does not appear to be a binary classification problem "
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"with two labels. Labels found: {labels}")
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"with two labels. Labels found: {labels}")
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@ -144,6 +144,8 @@ class Language:
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self._pipe_meta: Dict[str, "FactoryMeta"] = {} # meta by component
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self._pipe_meta: Dict[str, "FactoryMeta"] = {} # meta by component
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self._pipe_configs: Dict[str, Config] = {} # config by component
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self._pipe_configs: Dict[str, Config] = {} # config by component
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if not isinstance(vocab, Vocab) and vocab is not True:
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raise ValueError(Errors.E918.format(vocab=vocab, vocab_type=type(Vocab)))
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if vocab is True:
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if vocab is True:
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vectors_name = meta.get("vectors", {}).get("name")
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vectors_name = meta.get("vectors", {}).get("name")
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vocab = create_vocab(
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vocab = create_vocab(
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@ -277,3 +277,14 @@ def test_spacy_blank():
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nlp = spacy.blank("en", config=config, meta=meta)
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nlp = spacy.blank("en", config=config, meta=meta)
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assert nlp.config["training"]["dropout"] == 0.2
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assert nlp.config["training"]["dropout"] == 0.2
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assert nlp.meta["name"] == "my_custom_model"
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assert nlp.meta["name"] == "my_custom_model"
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@pytest.mark.parametrize(
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"value",
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[False, None, ["x", "y"], Language, Vocab],
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)
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def test_language_init_invalid_vocab(value):
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err_fragment = "invalid value"
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with pytest.raises(ValueError) as e:
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Language(value)
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assert err_fragment in str(e)
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