def test_sigma_f3(): xs.xs_cache.clear() N = len(xs.xs_cache['E_n']) - 1 E_g = np.copy(xs.xs_cache['E_n']) phi_n = np.ones(N) sigma_f_g = xs.sigma_f("H1", E_g=E_g, phi_n=phi_n) expected = np.zeros(N) assert_array_equal(sigma_f_g, expected)
def test_sigma_f1(): xs.xs_cache.clear() N = len(xs.xs_cache['E_n']) - 1 E_g = [10.0, 20.0] phi_n = np.ones(N) sigma_f_g = xs.sigma_f(922350, E_g=E_g, phi_n=phi_n) expected = np.array([(2.0617 + 2.1007 + 1.9677)/3.0]) assert_array_equal(sigma_f_g, expected)