def test_n_dimensional_whiteness_Taube1960(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960`
definition n_dimensional arrays support.
"""
XYZ = np.array([95.00000000, 100.00000000, 105.00000000])
XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595])
WI = 91.407173833416152
np.testing.assert_almost_equal(whiteness_Taube1960(XYZ, XYZ_0),
WI,
decimal=7)
XYZ = np.tile(XYZ, (6, 1))
XYZ_0 = np.tile(XYZ_0, (6, 1))
WI = np.tile(WI, 6)
np.testing.assert_almost_equal(whiteness_Taube1960(XYZ, XYZ_0),
WI,
decimal=7)
XYZ = np.reshape(XYZ, (2, 3, 3))
XYZ_0 = np.reshape(XYZ_0, (2, 3, 3))
WI = np.reshape(WI, (2, 3))
np.testing.assert_almost_equal(whiteness_Taube1960(XYZ, XYZ_0),
WI,
decimal=7)
def test_whiteness_Taube1960(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960`
definition.
"""
self.assertAlmostEqual(
whiteness_Taube1960(
np.array([95.00000000, 100.00000000, 105.00000000]),
np.array([94.80966767, 100.00000000, 107.30513595])),
91.407173833416152,
places=7)
self.assertAlmostEqual(
whiteness_Taube1960(
np.array([105.00000000, 100.00000000, 95.00000000]),
np.array([94.80966767, 100.00000000, 107.30513595])),
54.130300134995593,
places=7)
self.assertAlmostEqual(
whiteness_Taube1960(
np.array([100.00000000, 100.00000000, 100.00000000]),
np.array([100.00000000, 100.00000000, 100.00000000])),
100.0,
places=7)
def test_whiteness_Taube1960(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960`
definition.
"""
self.assertAlmostEqual(
whiteness_Taube1960(
np.array([95.00000000, 100.00000000, 105.00000000]),
np.array([94.80966767, 100.00000000, 107.30513595])),
91.407173833416152,
places=7)
self.assertAlmostEqual(
whiteness_Taube1960(
np.array([105.00000000, 100.00000000, 95.00000000]),
np.array([94.80966767, 100.00000000, 107.30513595])),
54.130300134995593,
places=7)
self.assertAlmostEqual(
whiteness_Taube1960(
np.array([100.00000000, 100.00000000, 100.00000000]),
np.array([100.00000000, 100.00000000, 100.00000000])),
100.0,
places=7)
def test_n_dimensional_whiteness_Taube1960(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960`
definition n_dimensional arrays support.
"""
XYZ = np.array([95.00000000, 100.00000000, 105.00000000])
XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595])
WI = 91.407173833416152
np.testing.assert_almost_equal(
whiteness_Taube1960(XYZ, XYZ_0),
WI,
decimal=7)
XYZ = np.tile(XYZ, (6, 1))
XYZ_0 = np.tile(XYZ_0, (6, 1))
WI = np.tile(WI, 6)
np.testing.assert_almost_equal(
whiteness_Taube1960(XYZ, XYZ_0),
WI,
decimal=7)
XYZ = np.reshape(XYZ, (2, 3, 3))
XYZ_0 = np.reshape(XYZ_0, (2, 3, 3))
WI = np.reshape(WI, (2, 3))
np.testing.assert_almost_equal(
whiteness_Taube1960(XYZ, XYZ_0),
WI,
decimal=7)
def test_domain_range_scale_whiteness_Taube1960(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Taube1960`
definition domain and range scale support.
"""
XYZ = np.array([95.00000000, 100.00000000, 105.00000000])
XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595])
WI = whiteness_Taube1960(XYZ, XYZ_0)
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(whiteness_Taube1960(
XYZ * factor, XYZ_0 * factor),
WI * factor,
decimal=7)
