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skip idd-score tests for npse as well
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tests/linearGaussian_vector_field_test.py

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@@ -373,13 +373,9 @@ def test_vector_field_iid_inference(
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num_trials: The number of trials to run.
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"""
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if (
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vector_field_type == "fmpe"
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and prior_type == "uniform"
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and iid_method in ["gauss", "auto_gauss", "jac_gauss"]
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):
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if prior_type == "uniform" and iid_method in ["gauss", "auto_gauss", "jac_gauss"]:
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# TODO: Predictor produces NaNs for these cases, see #1656
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pytest.skip("Known issue with FMPE and IID methods with uniform priors")
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pytest.skip("Known issue of IID methods with uniform priors, see #1656.")
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vector_field_trained_model = train_vector_field_model(vector_field_type, prior_type)
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