def METHOD_NAME(self, seed):
    dist = Normal(seed=seed)
    ll1 = dist.loglikelihood([], self.resids, self.sigma2)
    scipy_dist = stats.norm
    ll2 = scipy_dist.logpdf(self.resids, scale=np.sqrt(self.sigma2)).sum()
    assert_almost_equal(ll1, ll2)
    assert_equal(dist.num_params, 0)
    bounds = dist.bounds(self.resids)
    assert_equal(len(bounds), 0)
    a, b = dist.constraints()
    assert_equal(len(a), 0)
    assert_array_equal(dist.starting_values(self.resids), np.empty((0,)))