def METHOD_NAME(self):
    with self.assertRaises(ValueError):
        mean = torch.tensor([0.0, 1.0])
        cov = torch.tensor([[1.0, 2.0], [2.0, 0.5]])
        MultivariateNormalPrior(mean, covariance_matrix=cov, validate_args=True)