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Provided better context for tests
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pymc3/tests/test_distributions_random.py

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@@ -1677,7 +1677,12 @@ def test_issue_3706(self):
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assert prior_pred["X"].shape == (1, N, 2)
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def test_issue_3585():
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def test_matrix_normal_random_with_random_variables():
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"""
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This test checks for shape correctness when using MatrixNormal distribution
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with parameters as random variables.
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Originally reported - https://github.com/pymc-devs/pymc3/issues/3585
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"""
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K = 3
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D = 15
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mu_0 = np.zeros((D, K))

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