def test_n_dimensional_Hunter_Lab_to_XYZ(self): """ Test :func:`colour.models.hunter_lab.Hunter_Lab_to_XYZ` definition n-dimensional support. """ h_i = TVS_ILLUMINANTS_HUNTERLAB["CIE 1931 2 Degree Standard Observer"] D65 = h_i["D65"] Lab = np.array([34.92452577, 47.06189858, 14.38615107]) XYZ_n = D65.XYZ_n K_ab = D65.K_ab XYZ = Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab) Lab = np.tile(Lab, (6, 1)) XYZ = np.tile(XYZ, (6, 1)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7) K_ab = np.tile(K_ab, (6, 1)) XYZ_n = np.tile(XYZ_n, (6, 1)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7) Lab = np.reshape(Lab, (2, 3, 3)) XYZ_n = np.reshape(XYZ_n, (2, 3, 3)) K_ab = np.reshape(K_ab, (2, 3, 2)) XYZ = np.reshape(XYZ, (2, 3, 3)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7)
def test_domain_range_scale_Hunter_Lab_to_XYZ(self): """ Tests :func:`colour.models.hunter_lab.Hunter_Lab_to_XYZ` definition domain and range scale support. """ h_i = HUNTERLAB_ILLUMINANTS['CIE 1931 2 Degree Standard Observer'] D65 = h_i['D65'] Lab = np.array([34.92452577, 47.06189858, 14.38615107]) XYZ_n = D65.XYZ_n K_ab = D65.K_ab XYZ = Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab) 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(Hunter_Lab_to_XYZ( Lab * factor, XYZ_n * factor, K_ab), XYZ * factor, decimal=7)
def test_nan_Hunter_Lab_to_XYZ(self): """ Tests :func:`colour.models.hunter_lab.Hunter_Lab_to_XYZ` 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: Lab = np.array(case) XYZ_n = np.array(case[0:3]) K_ab = np.array(case[0:2]) Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab)
def test_n_dimensional_Hunter_Lab_to_XYZ(self): """ Tests :func:`colour.models.hunter_lab.Hunter_Lab_to_XYZ` definition n-dimensions support. """ h_i = HUNTERLAB_ILLUMINANTS['CIE 1931 2 Degree Standard Observer'] D65 = h_i['D65'] Lab = np.array([34.92452577, 47.06189858, 14.38615107]) XYZ_n = D65.XYZ_n K_ab = D65.K_ab XYZ = np.array([0.20654008, 0.12197225, 0.05136952]) * 100 np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7) Lab = np.tile(Lab, (6, 1)) XYZ = np.tile(XYZ, (6, 1)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7) K_ab = np.tile(K_ab, (6, 1)) XYZ_n = np.tile(XYZ_n, (6, 1)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7) Lab = np.reshape(Lab, (2, 3, 3)) XYZ_n = np.reshape(XYZ_n, (2, 3, 3)) K_ab = np.reshape(K_ab, (2, 3, 2)) XYZ = np.reshape(XYZ, (2, 3, 3)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7)
def test_n_dimensional_Hunter_Lab_to_XYZ(self): """ Tests :func:`colour.models.hunter_lab.Hunter_Lab_to_XYZ` definition n-dimensions support. """ h_i = HUNTERLAB_ILLUMINANTS['CIE 1931 2 Degree Standard Observer'] D50 = h_i['D50'] Lab = np.array([31.74901573, -15.11462629, -2.78660758]) XYZ_n = D50.XYZ_n K_ab = D50.K_ab XYZ = np.array([0.07049534, 0.10080000, 0.09558313]) * 100 np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7) Lab = np.tile(Lab, (6, 1)) XYZ = np.tile(XYZ, (6, 1)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7) K_ab = np.tile(K_ab, (6, 1)) XYZ_n = np.tile(XYZ_n, (6, 1)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7) Lab = np.reshape(Lab, (2, 3, 3)) XYZ_n = np.reshape(XYZ_n, (2, 3, 3)) K_ab = np.reshape(K_ab, (2, 3, 2)) XYZ = np.reshape(XYZ, (2, 3, 3)) np.testing.assert_almost_equal(Hunter_Lab_to_XYZ(Lab, XYZ_n, K_ab), XYZ, decimal=7)
def test_Hunter_Lab_to_XYZ(self): """Test :func:`colour.models.hunter_lab.Hunter_Lab_to_XYZ` definition.""" np.testing.assert_almost_equal( Hunter_Lab_to_XYZ(np.array([34.92452577, 47.06189858, 14.38615107])), np.array([20.65400800, 12.19722500, 5.13695200]), decimal=7, ) np.testing.assert_almost_equal( Hunter_Lab_to_XYZ( np.array([48.00288325, -28.98551622, 18.75564181])), np.array([14.22201000, 23.04276800, 10.49577200]), decimal=7, ) np.testing.assert_almost_equal( Hunter_Lab_to_XYZ( np.array([24.81370791, 14.38300039, -53.25539126])), np.array([7.81878000, 6.15720100, 28.09932601]), decimal=7, ) h_i = TVS_ILLUMINANTS_HUNTERLAB["CIE 1931 2 Degree Standard Observer"] A = h_i["A"] np.testing.assert_almost_equal( Hunter_Lab_to_XYZ( np.array([34.92452577, 35.04243086, -2.47688619]), A.XYZ_n, A.K_ab, ), np.array([20.65400800, 12.19722500, 5.13695200]), decimal=7, ) D65 = h_i["D65"] np.testing.assert_almost_equal( Hunter_Lab_to_XYZ( np.array([34.92452577, 47.06189858, 14.38615107]), D65.XYZ_n, D65.K_ab, ), np.array([20.65400800, 12.19722500, 5.13695200]), decimal=7, ) np.testing.assert_almost_equal( Hunter_Lab_to_XYZ( np.array([34.92452577, 47.05669614, 14.38385238]), D65.XYZ_n, K_ab=None, ), np.array([20.65400800, 12.19722500, 5.13695200]), decimal=7, )
def test_Hunter_Lab_to_XYZ(self): """ Tests :func:`colour.models.hunter_lab.Hunter_Lab_to_XYZ` definition. """ np.testing.assert_almost_equal( Hunter_Lab_to_XYZ( np.array([31.74901573, -15.11462629, -2.78660758])), np.array([7.04953400, 10.08000000, 9.55831300]), decimal=7) np.testing.assert_almost_equal( Hunter_Lab_to_XYZ(np.array([59.11852502, 40.84479160, 21.01328651])), np.array([47.09771001, 34.95000001, 11.30164900]), decimal=7) np.testing.assert_almost_equal( Hunter_Lab_to_XYZ(np.array([43.76071297, 29.00314048, 11.24749156])), np.array([25.50681403, 19.15000002, 8.84975199]), decimal=7) h_i = HUNTERLAB_ILLUMINANTS['CIE 1931 2 Degree Standard Observer'] A = h_i['A'] np.testing.assert_almost_equal( Hunter_Lab_to_XYZ( np.array([31.74901573, -21.35794415, -20.32778374]), A.XYZ_n, A.K_ab), np.array([7.04953400, 10.08000000, 9.55831300]), decimal=7) D65 = h_i['D65'] np.testing.assert_almost_equal( Hunter_Lab_to_XYZ(np.array([31.7490157, -14.4410859, 2.7439626]), D65.XYZ_n, D65.K_ab), np.array([7.04953400, 10.08000000, 9.55831300]), decimal=7) np.testing.assert_almost_equal( Hunter_Lab_to_XYZ(np.array([31.74901573, -14.43948953, 2.74352417]), D65.XYZ_n, K_ab=None), np.array([7.04953400, 10.08000000, 9.55831300]), decimal=7)