def test_carlson_rd(): # Define inputs that we know the outputs from: # Carlson, B.C., 1994. Numerical computation of real or complex # elliptic integrals. arXiv:math/9409227 [math.CA] # Real values x = np.array([0.0, 2.0]) y = np.array([2.0, 3.0]) z = np.array([1.0, 4.0]) # Defene reference outputs RD_ref = np.array([1.7972103521034, 0.16510527294261]) # Compute integrals RD = carlson_rd(x, y, z, errtol=1e-5) # Compare assert_array_almost_equal(RD, RD_ref) # Complex values (testing in 2D format) x = np.array([[1j, 0.0], [0.0, -2 - 1j]]) y = np.array([[-1j, 1j], [1j-1, -1j]]) z = np.array([[2.0, -1j], [1j, -1 + 1j]]) # Defene reference outputs RD_ref = np.array([[0.65933854154220, 1.2708196271910 + 2.7811120159521j], [-1.8577235439239 - 0.96193450888839j, 1.8249027393704 - 1.2218475784827j]]) # Compute integrals RD = carlson_rd(x, y, z, errtol=1e-5) # Compare assert_array_almost_equal(RD, RD_ref)
def test_carlson_rd(): # Define inputs that we know the outputs from: # Carlson, B.C., 1994. Numerical computation of real or complex # elliptic integrals. arXiv:math/9409227 [math.CA] # Real values x = np.array([0.0, 2.0]) y = np.array([2.0, 3.0]) z = np.array([1.0, 4.0]) # Defene reference outputs RD_ref = np.array([1.7972103521034, 0.16510527294261]) # Compute integrals RD = carlson_rd(x, y, z, errtol=1e-5) # Compare assert_array_almost_equal(RD, RD_ref) # Complex values (testing in 2D format) x = np.array([[1j, 0.0], [0.0, -2 - 1j]]) y = np.array([[-1j, 1j], [1j-1, -1j]]) z = np.array([[2.0, -1j], [1j, -1 + 1j]]) # Defene reference outputs RD_ref = np.array([[0.65933854154220, 1.2708196271910 + 2.7811120159521j], [-1.8577235439239 - 0.96193450888839j, 1.8249027393704 - 1.2218475784827j]]) # Compute integrals RD = carlson_rd(x, y, z, errtol=1e-5) # Compare assert_array_almost_equal(RD, RD_ref)