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)
