astmodels.Chebyshev2D(1, 1, c0_0=1, c0_1=2, c1_0=3),
astmodels.Legendre2D(1, 1, c0_0=1, c0_1=2, c1_0=3),
astmodels.Hermite2D(1, 1, c0_0=1, c0_1=2, c1_0=3),
astmodels.Scale(3.4),
astmodels.RotateNative2Celestial(5.63, -72.5, 180),
astmodels.Multiply(3),
astmodels.Multiply(10 * u.m),
astmodels.RotateCelestial2Native(5.63, -72.5, 180),
astmodels.EulerAngleRotation(23, 14, 2.3, axes_order='xzx'),
astmodels.Mapping((0, 1), n_inputs=3),
astmodels.Shift(2. * u.deg),
astmodels.Scale(3.4 * u.deg),
astmodels.RotateNative2Celestial(5.63 * u.deg, -72.5 * u.deg, 180 * u.deg),
astmodels.RotateCelestial2Native(5.63 * u.deg, -72.5 * u.deg, 180 * u.deg),
astmodels.RotationSequence3D([1.2, 2.3, 3.4, .3], 'xyzx'),
astmodels.SphericalRotationSequence([1.2, 2.3, 3.4, .3], 'xyzy'),
custom_and_analytical_inverse(),
]
math_models = []
for kl in astmodels.math.__all__:
klass = getattr(astmodels.math, kl)
math_models.append(klass())
test_models.extend(math_models)
def test_transforms_compound(tmpdir):
tree = {
'compound':
astropy_models.Pix2Sky_ZenithalEquidistant(),
astropy_models.Sky2Pix_ZenithalEquidistant(),
astropy_models.Pix2Sky_ZenithalPerspective(mu=1.5, gamma=15.0),
astropy_models.Sky2Pix_ZenithalPerspective(mu=1.5, gamma=15.0),
# astropy.modeling.rotations
astropy_models.EulerAngleRotation(23, 14, 2.3, axes_order="xzx"),
astropy_models.RotateCelestial2Native(5.63, -72.5, 180),
astropy_models.RotateCelestial2Native(5.63 * u.deg, -72.5 * u.deg,
180 * u.deg),
astropy_models.RotateNative2Celestial(5.63, -72.5, 180),
astropy_models.RotateNative2Celestial(5.63 * u.deg, -72.5 * u.deg,
180 * u.deg),
astropy_models.Rotation2D(angle=1.51),
astropy_models.RotationSequence3D([1.2, 2.3, 3.4, .3], "xyzx"),
astropy_models.SphericalRotationSequence([1.2, 2.3, 3.4, .3], "xyzy"),
# astropy.modeling.tabular
astropy_models.Tabular1D(points=np.arange(0, 5),
lookup_table=[1., 10, 2, 45, -3]),
astropy_models.Tabular1D(points=np.arange(0, 5) * u.pix,
lookup_table=[1., 10, 2, 45, -3] * u.nm),
astropy_models.Tabular2D(
points=([1, 2, 3], [1, 2, 3]),
lookup_table=np.arange(0, 9).reshape(3, 3),
bounds_error=False,
fill_value=None,
method="nearest",
),
astropy_models.Tabular2D(
points=([1, 2, 3], [1, 2, 3]) * u.pix,
