def test_primaries_whitepoint(self):
"""
Tests :func:`colour.models.rgb.derivation.primaries_whitepoint`
definition.
"""
P, W = primaries_whitepoint(
np.array([[0.95255240, 0.00000000, 0.00009368],
[0.34396645, 0.72816610, -0.07213255],
[0.00000000, 0.00000000, 1.00882518]]))
np.testing.assert_almost_equal(P,
np.array([[0.73470, 0.26530],
[0.00000, 1.00000],
[0.00010, -0.07700]]),
decimal=7)
np.testing.assert_almost_equal(W,
np.array([0.32168, 0.33767]),
decimal=7)
P, W = primaries_whitepoint(
np.array([[0.41240000, 0.35760000, 0.18050000],
[0.21260000, 0.71520000, 0.07220000],
[0.01930000, 0.11920000, 0.95050000]]))
np.testing.assert_almost_equal(P,
np.array([[0.64007450, 0.32997051],
[0.30000000, 0.60000000],
[0.15001662, 0.06000665]]),
decimal=7)
np.testing.assert_almost_equal(W,
np.array([0.31271591, 0.32900148]),
decimal=7)
def test_primaries_whitepoint(self):
"""
Tests :func:`colour.models.rgb.derivation.primaries_whitepoint`
definition.
"""
P, W = primaries_whitepoint(np.array(
[[0.95255240, 0.00000000, 0.00009368],
[0.34396645, 0.72816610, -0.07213255],
[0.00000000, 0.00000000, 1.00882518]]))
np.testing.assert_almost_equal(
P,
np.array([[0.73470, 0.26530],
[0.00000, 1.00000],
[0.00010, -0.07700]]),
decimal=7)
np.testing.assert_almost_equal(
W,
np.array([0.32168, 0.33767]),
decimal=7)
P, W = primaries_whitepoint(
np.array([[0.41240000, 0.35760000, 0.18050000],
[0.21260000, 0.71520000, 0.07220000],
[0.01930000, 0.11920000, 0.95050000]]))
np.testing.assert_almost_equal(
P,
np.array([[0.64007450, 0.32997051],
[0.30000000, 0.60000000],
[0.15001662, 0.06000665]]),
decimal=7)
np.testing.assert_almost_equal(
W,
np.array([0.31271591, 0.32900148]),
decimal=7)
def test_primaries_whitepoint(self):
"""
Tests :func:`colour.models.rgb.derivation.primaries_whitepoint`
definition.
"""
P, W = primaries_whitepoint(
np.array([[9.52552396e-01, 0.00000000e+00, 9.36786317e-05],
[3.43966450e-01, 7.28166097e-01, -7.21325464e-02],
[0.00000000e+00, 0.00000000e+00, 1.00882518e+00]]))
np.testing.assert_almost_equal(
P,
np.array([[0.73470, 0.26530],
[0.00000, 1.00000],
[0.00010, -0.07700]]),
decimal=7)
np.testing.assert_almost_equal(
W,
np.array([0.32168, 0.33767]),
decimal=7)
P, W = primaries_whitepoint(
np.array([[0.41239080, 0.35758434, 0.18048079],
[0.21263901, 0.71516868, 0.07219232],
[0.01933082, 0.11919478, 0.95053215]]))
np.testing.assert_almost_equal(
P,
np.array([[0.640, 0.330],
[0.300, 0.600],
[0.150, 0.060]]),
decimal=7)
np.testing.assert_almost_equal(
W,
np.array([0.3127, 0.3290]),
decimal=7)
def test_nan_primaries_whitepoint(self):
"""
Tests :func:`colour.models.rgb.derivation.primaries_whitepoint`
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:
M = np.array(np.vstack((case, case, case)))
primaries_whitepoint(M)
def test_nan_primaries_whitepoint(self):
"""
Tests :func:`colour.models.rgb.derivation.primaries_whitepoint`
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:
M = np.array(np.vstack([case, case, case]))
primaries_whitepoint(M)