def test_n_dimensional_whiteness_CIE2004(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_CIE2004`
definition n_dimensional arrays support.
"""
xy = np.array([0.3167, 0.3334])
Y = 100
xy_n = np.array([0.3139, 0.3311])
WT = np.array([93.8500000, -1.30500000])
np.testing.assert_almost_equal(whiteness_CIE2004(xy, Y, xy_n),
WT,
decimal=7)
xy = np.tile(xy, (6, 1))
WT = np.tile(WT, (6, 1))
np.testing.assert_almost_equal(whiteness_CIE2004(xy, Y, xy_n),
WT,
decimal=7)
Y = np.tile(Y, 6)
xy_n = np.tile(xy_n, (6, 1))
np.testing.assert_almost_equal(whiteness_CIE2004(xy, Y, xy_n),
WT,
decimal=7)
xy = np.reshape(xy, (2, 3, 2))
Y = np.reshape(Y, (2, 3))
xy_n = np.reshape(xy_n, (2, 3, 2))
WT = np.reshape(WT, (2, 3, 2))
np.testing.assert_almost_equal(whiteness_CIE2004(xy, Y, xy_n),
WT,
decimal=7)
def test_whiteness_CIE2004(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_CIE2004`
definition.
"""
np.testing.assert_almost_equal(
whiteness_CIE2004(np.array([0.3139, 0.3311]),
100,
np.array([0.3139, 0.3311])),
np.array([100.00000000, 0.00000000]),
decimal=7)
np.testing.assert_almost_equal(
whiteness_CIE2004(np.array([0.3500, 0.3334]),
100,
np.array([0.3139, 0.3311])),
np.array([67.21000000, -34.60500000]),
decimal=7)
np.testing.assert_almost_equal(
whiteness_CIE2004(np.array([0.3334, 0.3334]),
100,
np.array([0.3139, 0.3311])),
np.array([80.49000000, -18.00500000]),
decimal=7)
def test_whiteness_CIE2004(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_CIE2004`
definition.
"""
np.testing.assert_almost_equal(
whiteness_CIE2004(np.array([0.3139, 0.3311]),
100,
np.array([0.3139, 0.3311])),
np.array([100.00000000, 0.00000000]),
decimal=7)
np.testing.assert_almost_equal(
whiteness_CIE2004(np.array([0.3500, 0.3334]),
100,
np.array([0.3139, 0.3311])),
np.array([67.21000000, -34.60500000]),
decimal=7)
np.testing.assert_almost_equal(
whiteness_CIE2004(np.array([0.3334, 0.3334]),
100,
np.array([0.3139, 0.3311])),
np.array([80.49000000, -18.00500000]),
decimal=7)
def test_nan_whiteness_CIE2004(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_CIE2004`
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:
xy = np.array(case[0:2])
Y = np.array(case[0])
xy_n = np.array(case[0:2])
whiteness_CIE2004(xy, Y, xy_n)
def test_nan_whiteness_CIE2004(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_CIE2004`
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:
xy = np.array(case[0:2])
Y = np.array(case[0])
xy_n = np.array(case[0:2])
whiteness_CIE2004(xy, Y, xy_n)
def test_domain_range_scale_whiteness_CIE2004(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_CIE2004`
definition domain and range scale support.
"""
xy = np.array([0.3167, 0.3334])
Y = 100
xy_n = np.array([0.3139, 0.3311])
WT = whiteness_CIE2004(xy, Y, xy_n)
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_CIE2004(
xy, Y * factor, xy_n),
WT * factor,
decimal=7)
def test_n_dimensional_whiteness_CIE2004(self):
"""
Tests :func:`colour.colorimetry.whiteness.whiteness_CIE2004`
definition n_dimensional arrays support.
"""
xy = np.array([0.3167, 0.3334])
Y = 100
xy_n = np.array([0.3139, 0.3311])
WT = np.array([93.8500000, -1.30500000])
np.testing.assert_almost_equal(
whiteness_CIE2004(xy, Y, xy_n),
WT,
decimal=7)
xy = np.tile(xy, (6, 1))
WT = np.tile(WT, (6, 1))
np.testing.assert_almost_equal(
whiteness_CIE2004(xy, Y, xy_n),
WT,
decimal=7)
Y = np.tile(Y, 6)
xy_n = np.tile(xy_n, (6, 1))
np.testing.assert_almost_equal(
whiteness_CIE2004(xy, Y, xy_n),
WT,
decimal=7)
xy = np.reshape(xy, (2, 3, 2))
Y = np.reshape(Y, (2, 3))
xy_n = np.reshape(xy_n, (2, 3, 2))
WT = np.reshape(WT, (2, 3, 2))
np.testing.assert_almost_equal(
whiteness_CIE2004(xy, Y, xy_n),
WT,
decimal=7)
