259e86a7a248f33472c0be3ceb177cb47543001d,tests/lazy/test_op_gradients.py,,test_flux_quad_ld,#Any#Any#Any#,298

Before Change

def test_flux_quad_ld(abs_tol=1e-5, rel_tol=1e-5, eps=1e-7):
    theano.config.compute_test_value = "off"
    map = starry.Map(udeg=2)
    xo = np.linspace(-1.5, 1.5, 10)
    yo = np.ones_like(xo) * 0.3
    zo = 1.0 * np.ones_like(xo)
    ro = 0.1
    np.random.seed(14)
    u = np.array([-1.0] + list(np.random.randn(2)))
    func = lambda *args: map.ops.flux(*args)

    verify_grad(
        func,
        (xo, yo, zo, ro, u),
        abs_tol=abs_tol,
        rel_tol=rel_tol,
        eps=eps,
        n_tests=1,
    )


def test_rv(abs_tol=1e-5, rel_tol=1e-5, eps=1e-7):
    theano.config.compute_test_value = "off"

After Change

def test_flux_quad_ld(abs_tol=1e-5, rel_tol=1e-5, eps=1e-7):
    with change_flags(compute_test_value="off"):
        map = starry.Map(udeg=2)
        xo = np.linspace(-1.5, 1.5, 10)
        yo = np.ones_like(xo) * 0.3
        zo = 1.0 * np.ones_like(xo)
        ro = 0.1
        np.random.seed(14)
        u = np.array([-1.0] + list(np.random.randn(2)))
        func = lambda *args: map.ops.flux(*args)

        verify_grad(
            func,
            (xo, yo, zo, ro, u),
            abs_tol=abs_tol,
            rel_tol=rel_tol,
            eps=eps,
            n_tests=1,
        )


def test_rv(abs_tol=1e-5, rel_tol=1e-5, eps=1e-7):
    with change_flags(compute_test_value="off"):
        map = starry.Map(ydeg=2, rv=True)
        theta = np.linspace(0, 30, 10)

Instances