Esempio n. 1
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def test_2d():

    world = np.ones((10, 2))

    w1 = WCSWorld2PixelTransform(WCS2D) + Affine2D()
    pixel = w1.transform(world)
    world_2 = w1.inverted().transform(pixel)

    np.testing.assert_allclose(world, world_2)
Esempio n. 2
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def test_3d():

    world = np.ones((10, 2))

    w1 = WCSWorld2PixelTransform(WCS3D[:, 0, :]) + Affine2D()
    pixel = w1.transform(world)
    world_2 = w1.inverted().transform(pixel)

    np.testing.assert_allclose(world[:, 0], world_2[:, 0])
    np.testing.assert_allclose(world[:, 1], world_2[:, 1])
Esempio n. 3
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def test_shorthand_inversion():
    """
    Test that the Matplotlib subtraction shorthand for composing and inverting
    transformations works.
    """
    w1 = WCS(naxis=2)
    w1.wcs.ctype = ['RA---TAN', 'DEC--TAN']
    w1.wcs.crpix = [256.0, 256.0]
    w1.wcs.cdelt = [-0.05, 0.05]
    w1.wcs.crval = [120.0, -19.0]

    w2 = WCS(naxis=2)
    w2.wcs.ctype = ['RA---SIN', 'DEC--SIN']
    w2.wcs.crpix = [256.0, 256.0]
    w2.wcs.cdelt = [-0.05, 0.05]
    w2.wcs.crval = [235.0, +23.7]

    t1 = WCSWorld2PixelTransform(w1)
    t2 = WCSWorld2PixelTransform(w2)

    assert t1 - t2 == t1 + t2.inverted()
    assert t1 - t2 != t2.inverted() + t1
    assert t1 - t1 == IdentityTransform()