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add combo test
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@ -171,3 +171,77 @@ def test_init_config_trainable(component, examples, en_vocab):
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)
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assert train_result.exit_code == 0
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assert Path(d_in / "model" / "model-last").exists()
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# @pytest.mark.slow
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@pytest.mark.parametrize(
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"component,examples",
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[
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(
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"tagger,parser,morphologizer",
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[
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dict(
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words=["I", "like", "cats"],
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tags=["PRP", "VBP", "NNS"],
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morphs=[
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"Case=Nom|Number=Sing|Person=1|PronType=Prs",
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"Tense=Pres|VerbForm=Fin",
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"Number=Plur",
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],
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deps=["nsubj", "ROOT", "dobj"],
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heads=[1, 1, 1],
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pos=["PRON", "VERB", "NOUN"],
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),
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dict(
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words=["I", "like", "dogs"],
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tags=["PRP", "VBP", "NNS"],
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morphs=[
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"Case=Nom|Number=Sing|Person=1|PronType=Prs",
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"Tense=Pres|VerbForm=Fin",
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"Number=Plur",
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],
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deps=["nsubj", "ROOT", "dobj"],
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heads=[1, 1, 1],
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pos=["PRON", "VERB", "NOUN"],
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),
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]
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* 15,
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),
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],
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)
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def test_init_config_trainable_multiple(component, examples, en_vocab):
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train_docs = [Doc(en_vocab, **example) for example in examples]
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with make_tempdir() as d_in:
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train_bin = DocBin(docs=train_docs)
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train_bin.to_disk(d_in / "train.spacy")
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dev_bin = DocBin(docs=train_docs)
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dev_bin.to_disk(d_in / "dev.spacy")
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init_config_result = CliRunner().invoke(
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app,
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[
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"init",
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"config",
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f"{d_in}/config.cfg",
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"--lang",
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"en",
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"--pipeline",
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component,
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],
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)
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assert init_config_result.exit_code == 0
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train_result = CliRunner().invoke(
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app,
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[
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"train",
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f"{d_in}/config.cfg",
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"--paths.train",
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f"{d_in}/train.spacy",
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"--paths.dev",
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f"{d_in}/dev.spacy",
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"--output",
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f"{d_in}/model",
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],
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)
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assert train_result.exit_code == 0
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assert Path(d_in / "model" / "model-last").exists()
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