def test_n_dimensional_whiteness_Berger1959(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959` definition n_dimensional arrays support. """ XYZ = np.array([95.00000000, 100.00000000, 105.00000000]) XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595]) W = 30.36380179 np.testing.assert_almost_equal(whiteness_Berger1959(XYZ, XYZ_0), W, decimal=7) XYZ = np.tile(XYZ, (6, 1)) XYZ_0 = np.tile(XYZ_0, (6, 1)) W = np.tile(W, 6) np.testing.assert_almost_equal(whiteness_Berger1959(XYZ, XYZ_0), W, decimal=7) XYZ = np.reshape(XYZ, (2, 3, 3)) XYZ_0 = np.reshape(XYZ_0, (2, 3, 3)) W = np.reshape(W, (2, 3)) np.testing.assert_almost_equal(whiteness_Berger1959(XYZ, XYZ_0), W, decimal=7)
def test_whiteness_Berger1959(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959` definition. """ self.assertAlmostEqual( whiteness_Berger1959( np.array([95.00000000, 100.00000000, 105.00000000]), np.array([94.80966767, 100.00000000, 107.30513595])), 30.36380179, places=7) self.assertAlmostEqual( whiteness_Berger1959( np.array([105.00000000, 100.00000000, 95.00000000]), np.array([94.80966767, 100.00000000, 107.30513595])), 5.530469280673941, places=7) self.assertAlmostEqual( whiteness_Berger1959( np.array([100.00000000, 100.00000000, 100.00000000]), np.array([100.00000000, 100.00000000, 100.00000000])), 33.300000000000011, places=7)
def test_n_dimensional_whiteness_Berger1959(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959` definition n_dimensional arrays support. """ XYZ = np.array([95.00000000, 100.00000000, 105.00000000]) XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595]) W = 30.36380179 np.testing.assert_almost_equal( whiteness_Berger1959(XYZ, XYZ_0), W, decimal=7) XYZ = np.tile(XYZ, (6, 1)) XYZ_0 = np.tile(XYZ_0, (6, 1)) W = np.tile(W, 6) np.testing.assert_almost_equal( whiteness_Berger1959(XYZ, XYZ_0), W, decimal=7) XYZ = np.reshape(XYZ, (2, 3, 3)) XYZ_0 = np.reshape(XYZ_0, (2, 3, 3)) W = np.reshape(W, (2, 3)) np.testing.assert_almost_equal( whiteness_Berger1959(XYZ, XYZ_0), W, decimal=7)
def test_nan_whiteness_Berger1959(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959` definition nan support. """ cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan] cases = set(permutations(cases * 3, r=3)) for case in cases: XYZ = np.array(case) XYZ_0 = np.array(case) whiteness_Berger1959(XYZ, XYZ_0)
def test_domain_range_scale_whiteness_Berger1959(self): """ Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959` 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]) W = whiteness_Berger1959(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_Berger1959( XYZ * factor, XYZ_0 * factor), W * factor, decimal=7)