def test_domain_range_scale_chromatic_adaptation(self):
"""
Test :func:`colour.adaptation.chromatic_adaptation` definition domain
and range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
XYZ_w = np.array([0.95045593, 1.00000000, 1.08905775])
XYZ_wr = np.array([0.96429568, 1.00000000, 0.82510460])
Y_o = 0.2
E_o = 1000
L_A = 200
Y_n = 200
m = ("Von Kries", "CIE 1994", "CMCCAT2000", "Fairchild 1990")
v = [
chromatic_adaptation(
XYZ,
XYZ_w,
XYZ_wr,
method=method,
Y_o=Y_o,
E_o1=E_o,
E_o2=E_o,
L_A1=L_A,
L_A2=L_A,
Y_n=Y_n,
)
for method in m
]
d_r = (("reference", 1), ("1", 1), ("100", 100))
for method, value in zip(m, v):
for scale, factor in d_r:
with domain_range_scale(scale):
np.testing.assert_almost_equal(
chromatic_adaptation(
XYZ * factor,
XYZ_w * factor,
XYZ_wr * factor,
method=method,
Y_o=Y_o * factor,
E_o1=E_o,
E_o2=E_o,
L_A1=L_A,
L_A2=L_A,
Y_n=Y_n,
),
value * factor,
decimal=7,
)
def test_domain_range_scale_chromatic_adaptation(self):
"""
Tests :func:`colour.adaptation.chromatic_adaptation` definition domain
and range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
XYZ_w = np.array([0.95045593, 1.00000000, 1.08905775])
XYZ_wr = np.array([0.96429568, 1.00000000, 0.82510460])
Y_o = 0.2
E_o = 1000
L_A = 200
Y_n = 200
m = ('Von Kries', 'CIE 1994', 'CMCCAT2000', 'Fairchild 1990')
v = [
chromatic_adaptation(
XYZ,
XYZ_w,
XYZ_wr,
method=method,
Y_o=Y_o,
E_o1=E_o,
E_o2=E_o,
L_A1=L_A,
L_A2=L_A,
Y_n=Y_n) for method in m
]
d_r = (('reference', 1), (1, 1), (100, 100))
for method, value in zip(m, v):
for scale, factor in d_r:
with domain_range_scale(scale):
np.testing.assert_almost_equal(
chromatic_adaptation(
XYZ * factor,
XYZ_w * factor,
XYZ_wr * factor,
method=method,
Y_o=Y_o * factor,
E_o1=E_o,
E_o2=E_o,
L_A1=L_A,
L_A2=L_A,
Y_n=Y_n),
value * factor,
decimal=7)
def test_chromatic_adaptation(self):
"""
Tests :func:`colour.adaptation.chromatic_adaptation` definition.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
XYZ_w = np.array([0.95045593, 1.00000000, 1.08905775])
XYZ_wr = np.array([0.96429568, 1.00000000, 0.82510460])
np.testing.assert_almost_equal(
chromatic_adaptation(XYZ, XYZ_w, XYZ_wr),
np.array([0.21638819, 0.12570000, 0.03847494]),
decimal=7)
Y_o = 0.2
E_o = 1000
np.testing.assert_almost_equal(
chromatic_adaptation(XYZ,
XYZ_w,
XYZ_wr,
method='CIE 1994',
Y_o=Y_o,
E_o1=E_o,
E_o2=E_o),
np.array([0.21347453, 0.12252986, 0.03347887]),
decimal=7)
L_A = 200
np.testing.assert_almost_equal(
chromatic_adaptation(XYZ,
XYZ_w,
XYZ_wr,
method='CMCCAT2000',
L_A1=L_A,
L_A2=L_A),
np.array([0.21498829, 0.12474711, 0.03910138]),
decimal=7)
Y_n = 200
np.testing.assert_almost_equal(
chromatic_adaptation(XYZ,
XYZ_w,
XYZ_wr,
method='Fairchild 1990',
Y_n=Y_n),
np.array([0.21394049, 0.12262315, 0.03891917]),
decimal=7)
def test_chromatic_adaptation(self):
"""
Tests :func:`colour.adaptation.chromatic_adaptation` definition.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
XYZ_w = np.array([0.95045593, 1.00000000, 1.08905775])
XYZ_wr = np.array([0.96429568, 1.00000000, 0.82510460])
np.testing.assert_almost_equal(
chromatic_adaptation(XYZ, XYZ_w, XYZ_wr),
np.array([0.21638819, 0.12570000, 0.03847494]),
decimal=7)
Y_o = 0.2
E_o = 1000
np.testing.assert_almost_equal(
chromatic_adaptation(
XYZ,
XYZ_w,
XYZ_wr,
method='CIE 1994',
Y_o=Y_o,
E_o1=E_o,
E_o2=E_o),
np.array([0.21347453, 0.12252986, 0.03347887]),
decimal=7)
L_A = 200
np.testing.assert_almost_equal(
chromatic_adaptation(
XYZ, XYZ_w, XYZ_wr, method='CMCCAT2000', L_A1=L_A, L_A2=L_A),
np.array([0.21498829, 0.12474711, 0.03910138]),
decimal=7)
Y_n = 200
np.testing.assert_almost_equal(
chromatic_adaptation(
XYZ, XYZ_w, XYZ_wr, method='Fairchild 1990', Y_n=Y_n),
np.array([0.21394049, 0.12262315, 0.03891917]),
decimal=7)
