def test_n_dimensional_whiteness_Berger1959(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959`
definition n_dimensional arrays support.
"""
XYZ = np.array([95.00000000, 100.00000000, 105.00000000])
XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595])
W = 30.36380179
np.testing.assert_almost_equal(whiteness_Berger1959(XYZ, XYZ_0),
W,
decimal=7)
XYZ = np.tile(XYZ, (6, 1))
XYZ_0 = np.tile(XYZ_0, (6, 1))
W = np.tile(W, 6)
np.testing.assert_almost_equal(whiteness_Berger1959(XYZ, XYZ_0),
W,
decimal=7)
XYZ = np.reshape(XYZ, (2, 3, 3))
XYZ_0 = np.reshape(XYZ_0, (2, 3, 3))
W = np.reshape(W, (2, 3))
np.testing.assert_almost_equal(whiteness_Berger1959(XYZ, XYZ_0),
W,
decimal=7)
def test_whiteness_Berger1959(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959`
definition.
"""
self.assertAlmostEqual(
whiteness_Berger1959(
np.array([95.00000000, 100.00000000, 105.00000000]),
np.array([94.80966767, 100.00000000, 107.30513595])),
30.36380179,
places=7)
self.assertAlmostEqual(
whiteness_Berger1959(
np.array([105.00000000, 100.00000000, 95.00000000]),
np.array([94.80966767, 100.00000000, 107.30513595])),
5.530469280673941,
places=7)
self.assertAlmostEqual(
whiteness_Berger1959(
np.array([100.00000000, 100.00000000, 100.00000000]),
np.array([100.00000000, 100.00000000, 100.00000000])),
33.300000000000011,
places=7)
def test_n_dimensional_whiteness_Berger1959(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959`
definition n_dimensional arrays support.
"""
XYZ = np.array([95.00000000, 100.00000000, 105.00000000])
XYZ_0 = np.array([94.80966767, 100.00000000, 107.30513595])
W = 30.36380179
np.testing.assert_almost_equal(
whiteness_Berger1959(XYZ, XYZ_0),
W,
decimal=7)
XYZ = np.tile(XYZ, (6, 1))
XYZ_0 = np.tile(XYZ_0, (6, 1))
W = np.tile(W, 6)
np.testing.assert_almost_equal(
whiteness_Berger1959(XYZ, XYZ_0),
W,
decimal=7)
XYZ = np.reshape(XYZ, (2, 3, 3))
XYZ_0 = np.reshape(XYZ_0, (2, 3, 3))
W = np.reshape(W, (2, 3))
np.testing.assert_almost_equal(
whiteness_Berger1959(XYZ, XYZ_0),
W,
decimal=7)
def test_whiteness_Berger1959(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959`
definition.
"""
self.assertAlmostEqual(
whiteness_Berger1959(
np.array([95.00000000, 100.00000000, 105.00000000]),
np.array([94.80966767, 100.00000000, 107.30513595])),
30.36380179,
places=7)
self.assertAlmostEqual(
whiteness_Berger1959(
np.array([105.00000000, 100.00000000, 95.00000000]),
np.array([94.80966767, 100.00000000, 107.30513595])),
5.530469280673941,
places=7)
self.assertAlmostEqual(
whiteness_Berger1959(
np.array([100.00000000, 100.00000000, 100.00000000]),
np.array([100.00000000, 100.00000000, 100.00000000])),
33.300000000000011,
places=7)
def test_nan_whiteness_Berger1959(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959`
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:
XYZ = np.array(case)
XYZ_0 = np.array(case)
whiteness_Berger1959(XYZ, XYZ_0)
def test_nan_whiteness_Berger1959(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959`
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:
XYZ = np.array(case)
XYZ_0 = np.array(case)
whiteness_Berger1959(XYZ, XYZ_0)
def test_domain_range_scale_whiteness_Berger1959(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_Berger1959`
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])
W = whiteness_Berger1959(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_Berger1959(
XYZ * factor, XYZ_0 * factor),
W * factor,
decimal=7)