def test_get_cov_from_canform():
"""
Test that the _update_covform function is called before returning the covariance parameter.
"""
gaussian_a = Gaussian(prec=2.0, h_vec=1.0, g_val=0.0, var_names=["a"])
expect(Gaussian, times=1)._update_covform()
gaussian_a.get_cov()
verifyNoUnwantedInteractions()
unstub()
def test_get_cov(self):
"""
Test that the correct covariance is returned.
"""
gaussian_a = Gaussian(cov=2.0,
mean=1.0,
log_weight=0.0,
var_names=["a"])
self.assertTrue(np.array_equal(gaussian_a.get_cov(),
np.array([[2.0]])))