def test_n_dimensional_whiteness_Taube1960(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960` definition n_dimensional arrays support. """ XYZ = np.array([95.00000000, 100.00000000, 105.00000000]) XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595]) WI = 91.407173833416152 np.testing.assert_almost_equal(whiteness_Taube1960(XYZ, XYZ_0), WI, decimal=7) XYZ = np.tile(XYZ, (6, 1)) XYZ_0 = np.tile(XYZ_0, (6, 1)) WI = np.tile(WI, 6) np.testing.assert_almost_equal(whiteness_Taube1960(XYZ, XYZ_0), WI, decimal=7) XYZ = np.reshape(XYZ, (2, 3, 3)) XYZ_0 = np.reshape(XYZ_0, (2, 3, 3)) WI = np.reshape(WI, (2, 3)) np.testing.assert_almost_equal(whiteness_Taube1960(XYZ, XYZ_0), WI, decimal=7)
def test_whiteness_Taube1960(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960` definition. """ self.assertAlmostEqual( whiteness_Taube1960( np.array([95.00000000, 100.00000000, 105.00000000]), np.array([94.80966767, 100.00000000, 107.30513595])), 91.407173833416152, places=7) self.assertAlmostEqual( whiteness_Taube1960( np.array([105.00000000, 100.00000000, 95.00000000]), np.array([94.80966767, 100.00000000, 107.30513595])), 54.130300134995593, places=7) self.assertAlmostEqual( whiteness_Taube1960( np.array([100.00000000, 100.00000000, 100.00000000]), np.array([100.00000000, 100.00000000, 100.00000000])), 100.0, places=7)
def test_n_dimensional_whiteness_Taube1960(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960` definition n_dimensional arrays support. """ XYZ = np.array([95.00000000, 100.00000000, 105.00000000]) XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595]) WI = 91.407173833416152 np.testing.assert_almost_equal( whiteness_Taube1960(XYZ, XYZ_0), WI, decimal=7) XYZ = np.tile(XYZ, (6, 1)) XYZ_0 = np.tile(XYZ_0, (6, 1)) WI = np.tile(WI, 6) np.testing.assert_almost_equal( whiteness_Taube1960(XYZ, XYZ_0), WI, decimal=7) XYZ = np.reshape(XYZ, (2, 3, 3)) XYZ_0 = np.reshape(XYZ_0, (2, 3, 3)) WI = np.reshape(WI, (2, 3)) np.testing.assert_almost_equal( whiteness_Taube1960(XYZ, XYZ_0), WI, decimal=7)
def test_domain_range_scale_whiteness_Taube1960(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960` definition domain and range scale support. """ XYZ = np.array([95.00000000, 100.00000000, 105.00000000]) XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595]) WI = whiteness_Taube1960(XYZ, XYZ_0) d_r = (('reference', 1), (1, 0.01), (100, 1)) for scale, factor in d_r: with domain_range_scale(scale): np.testing.assert_almost_equal(whiteness_Taube1960( XYZ * factor, XYZ_0 * factor), WI * factor, decimal=7)