def test_gradient_logpdf(self, ma2):
prior = ModelPrior(ma2)
rv = prior.rvs(size=10)
grads = prior.gradient_logpdf(rv)
assert grads.shape == rv.shape
assert np.allclose(grads, 0)
def test_pdf(self, ma2):
prior = ModelPrior(ma2)
rv = prior.rvs(size=10)
assert np.allclose(prior.pdf(rv), np.exp(prior.logpdf(rv)))