How to use the simdkalman.primitives.update function in simdkalman

def test_update(self):
        prior_mean = np.array([[1],[2],[3]])
        prior_covariance = np.eye(3)*2

        observation_model = np.ones((2,3))
        observation_noise = np.eye(2)*0.1

        measurement = np.array([[3],[4]])

        m, P = primitives.update(prior_mean, prior_covariance, observation_model, observation_noise, measurement)

        self.assertSequenceEqual(m.shape, (3,1))
        self.assertSequenceEqual(P.shape, (3,3))