def test_chromatically_adapted_primaries(self):
"""
Tests :func:`colour.models.rgb.derivation.\
chromatically_adapted_primaries` definition.
"""
np.testing.assert_almost_equal(chromatically_adapted_primaries(
np.array([0.73470, 0.26530, 0.00000, 1.00000, 0.00010, -0.07700]),
np.array([0.32168, 0.33767]), np.array([0.34570, 0.35850])),
np.array([[0.73431182, 0.26694964],
[0.02211963, 0.98038009],
[-0.05880375, -0.12573056]]),
decimal=7)
np.testing.assert_almost_equal(chromatically_adapted_primaries(
np.array([0.640, 0.330, 0.300, 0.600, 0.150, 0.060]),
np.array([0.31270, 0.32900]), np.array([0.34570, 0.35850])),
np.array([[0.64922534, 0.33062196],
[0.32425276, 0.60237128],
[0.15236177, 0.06118676]]),
decimal=7)
np.testing.assert_almost_equal(chromatically_adapted_primaries(
np.array([0.640, 0.330, 0.300, 0.600, 0.150, 0.060]),
np.array([0.31270, 0.32900]), np.array([0.34570, 0.35850]),
'Bradford'),
np.array([[0.64844144, 0.33085331],
[0.32119518, 0.59784434],
[0.15589322, 0.06604921]]),
decimal=7)
def test_nan_chromatically_adapted_primaries(self):
"""
Tests :func:`colour.models.rgb.derivation.\
chromatically_adapted_primaries` definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=2))
for case in cases:
P = np.array(np.vstack((case, case, case)))
W = np.array(case)
chromatically_adapted_primaries(P, W, W)
def test_nan_chromatically_adapted_primaries(self):
"""
Tests :func:`colour.models.rgb.derivation.\
chromatically_adapted_primaries` definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=2))
for case in cases:
P = np.array(np.vstack([case, case, case]))
W = np.array(case)
chromatically_adapted_primaries(P, W, W)
def test_chromatically_adapted_primaries(self):
"""
Tests :func:`colour.models.rgb.derivation.\
chromatically_adapted_primaries` definition.
"""
np.testing.assert_almost_equal(
chromatically_adapted_primaries(
np.array([0.73470, 0.26530,
0.00000, 1.00000,
0.00010, -0.07700]),
np.array([0.32168, 0.33767]),
np.array([0.34570, 0.35850])),
np.array([[0.73431182, 0.26694964],
[0.02211963, 0.98038009],
[-0.05880375, -0.12573056]]),
decimal=7)
np.testing.assert_almost_equal(
chromatically_adapted_primaries(
np.array([0.640, 0.330,
0.300, 0.600,
0.150, 0.060]),
np.array([0.31270, 0.32900]),
np.array([0.34570, 0.35850])),
np.array([[0.64922534, 0.33062196],
[0.32425276, 0.60237128],
[0.15236177, 0.06118676]]),
decimal=7)
np.testing.assert_almost_equal(
chromatically_adapted_primaries(
np.array([0.640, 0.330,
0.300, 0.600,
0.150, 0.060]),
np.array([0.31270, 0.32900]),
np.array([0.34570, 0.35850]),
'Bradford'),
np.array([[0.64844144, 0.33085331],
[0.32119518, 0.59784434],
[0.15589322, 0.06604921]]),
decimal=7)
def test_chromatically_adapted_primaries(self):
"""
Tests :func:`colour.models.rgb.derivation.\
chromatically_adapted_primaries` definition.
"""
np.testing.assert_almost_equal(
chromatically_adapted_primaries(
np.array([0.73470, 0.26530,
0.00000, 1.00000,
0.00010, -0.07700]),
np.array([0.32168, 0.33767]),
np.array([0.34567, 0.35850])),
np.array([[0.7343147, 0.2669459],
[0.022058, 0.9804409],
[-0.0587459, -0.1256946]]),
decimal=7)
np.testing.assert_almost_equal(
chromatically_adapted_primaries(
np.array([0.640, 0.330,
0.300, 0.600,
0.150, 0.060]),
np.array([0.31271, 0.32902]),
np.array([0.34567, 0.35850])),
np.array([[0.6492148, 0.3306242],
[0.3242141, 0.6023877],
[0.152359, 0.0611854]]),
decimal=7)
np.testing.assert_almost_equal(
chromatically_adapted_primaries(
np.array([0.640, 0.330,
0.300, 0.600,
0.150, 0.060]),
np.array([0.31271, 0.32902]),
np.array([0.34567, 0.35850]),
'Bradford'),
np.array([[0.6484318, 0.3308549],
[0.3211603, 0.5978621],
[0.155886, 0.0660431]]),
decimal=7)
def test_chromatically_adapt(self):
"""
Test :func:`colour.models.rgb.rgb_colourspace.RGB_Colourspace.\
chromatically_adapt` method.
"""
whitepoint_t = np.array([0.31270, 0.32900])
colourspace = self._colourspace.chromatically_adapt(
whitepoint_t, "D50", "Bradford")
np.testing.assert_array_almost_equal(
colourspace.primaries,
np.array([
[0.73485524, 0.26422533],
[-0.00617091, 1.01131496],
[0.01596756, -0.06423550],
]),
decimal=7,
)
np.testing.assert_array_almost_equal(colourspace.whitepoint,
whitepoint_t,
decimal=7)
self.assertEqual(colourspace.whitepoint_name, "D50")
np.testing.assert_array_almost_equal(
colourspace.primaries,
chromatically_adapted_primaries(
self._colourspace.primaries,
self._colourspace.whitepoint,
whitepoint_t,
"Bradford",
),
decimal=7,
)
np.testing.assert_array_almost_equal(
colourspace.matrix_RGB_to_XYZ,
normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint),
decimal=7,
)
np.testing.assert_array_almost_equal(
colourspace.matrix_XYZ_to_RGB,
np.linalg.inv(
normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint)),
decimal=7,
)
def test_chromatically_adapt(self):
"""
Tests :func:`colour.models.rgb.rgb_colourspace.RGB_Colourspace.\
chromatically_adapt` method.
"""
whitepoint_t = np.array([0.31270, 0.32900])
colourspace = self._colourspace.chromatically_adapt(
whitepoint_t, 'D50', 'Bradford')
np.testing.assert_array_almost_equal(
colourspace.primaries,
np.array([
[0.73485524, 0.26422533],
[-0.00617091, 1.01131496],
[0.01596756, -0.06423550],
]),
decimal=7)
np.testing.assert_array_almost_equal(
colourspace.whitepoint, whitepoint_t, decimal=7)
self.assertEqual(colourspace.whitepoint_name, 'D50')
np.testing.assert_array_almost_equal(
colourspace.primaries,
chromatically_adapted_primaries(self._colourspace.primaries,
self._colourspace.whitepoint,
whitepoint_t, 'Bradford'),
decimal=7)
np.testing.assert_array_almost_equal(
colourspace.RGB_to_XYZ_matrix,
normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint),
decimal=7)
np.testing.assert_array_almost_equal(
colourspace.XYZ_to_RGB_matrix,
np.linalg.inv(
normalised_primary_matrix(colourspace.primaries,
colourspace.whitepoint)),
decimal=7)