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)
