def test_n_dimensional_delta_E_CMC(self):
"""
Tests :func:`colour.difference.delta_e.delta_E_CMC` definition
n-dimensional arrays support.
"""
Lab1 = np.array([100.00000000, 21.57210357, 272.22819350])
Lab2 = np.array([100.00000000, 426.67945353, 72.39590835])
delta_E = 172.70477128656015
np.testing.assert_almost_equal(
delta_E_CMC(Lab1, Lab2),
delta_E,
decimal=7)
Lab1 = np.tile(Lab1, (6, 1))
Lab2 = np.tile(Lab2, (6, 1))
delta_E = np.tile(delta_E, 6)
np.testing.assert_almost_equal(
delta_E_CMC(Lab1, Lab2),
delta_E,
decimal=7)
Lab1 = np.reshape(Lab1, (2, 3, 3))
Lab2 = np.reshape(Lab2, (2, 3, 3))
delta_E = np.reshape(delta_E, (2, 3))
np.testing.assert_almost_equal(
delta_E_CMC(Lab1, Lab2),
delta_E,
decimal=7)
def test_n_dimensional_delta_E_CMC(self):
"""
Tests :func:`colour.difference.delta_e.delta_E_CMC` definition
n-dimensional arrays support.
"""
Lab_1 = np.array([100.00000000, 21.57210357, 272.22819350])
Lab_2 = np.array([100.00000000, 426.67945353, 72.39590835])
delta_E = 172.70477129
np.testing.assert_almost_equal(delta_E_CMC(Lab_1, Lab_2),
delta_E,
decimal=7)
Lab_1 = np.tile(Lab_1, (6, 1))
Lab_2 = np.tile(Lab_2, (6, 1))
delta_E = np.tile(delta_E, 6)
np.testing.assert_almost_equal(delta_E_CMC(Lab_1, Lab_2),
delta_E,
decimal=7)
Lab_1 = np.reshape(Lab_1, (2, 3, 3))
Lab_2 = np.reshape(Lab_2, (2, 3, 3))
delta_E = np.reshape(delta_E, (2, 3))
np.testing.assert_almost_equal(delta_E_CMC(Lab_1, Lab_2),
delta_E,
decimal=7)
def test_nan_delta_E_CMC(self):
"""
Tests :func:`colour.difference.delta_e.delta_E_CMC` 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:
Lab_1 = np.array(case)
Lab_2 = np.array(case)
delta_E_CMC(Lab_1, Lab_2)
def test_nan_delta_E_CMC(self):
"""
Tests :func:`colour.difference.delta_e.delta_E_CMC` 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:
Lab1 = np.array(case)
Lab2 = np.array(case)
delta_E_CMC(Lab1, Lab2)
def test_domain_range_scale_delta_E_CMC(self):
"""
Tests :func:`colour.difference.delta_e.delta_E_CMC` definition
domain and range scale support.
"""
Lab_1 = np.array([100.00000000, 21.57210357, 272.22819350])
Lab_2 = np.array([100.00000000, 426.67945353, 72.39590835])
delta_E = delta_E_CMC(Lab_1, Lab_2)
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(
delta_E_CMC(Lab_1 * factor, Lab_2 * factor),
delta_E,
decimal=7)
def test_domain_range_scale_delta_E_CMC(self):
"""
Tests :func:`colour.difference.delta_e.delta_E_CMC` definition
domain and range scale support.
"""
Lab_1 = np.array([100.00000000, 21.57210357, 272.22819350])
Lab_2 = np.array([100.00000000, 426.67945353, 72.39590835])
delta_E = delta_E_CMC(Lab_1, Lab_2)
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(
delta_E_CMC(Lab_1 * factor, Lab_2 * factor),
delta_E,
decimal=7)
def test_delta_E_CMC(self):
"""Test :func:`colour.difference.delta_e.delta_E_CMC` definition."""
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 426.67945353, 72.39590835]),
),
172.70477129,
places=7,
)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 74.05216981, 276.45318193]),
),
20.59732717,
places=7,
)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 8.32281957, -73.58297716]),
),
121.71841479,
places=7,
)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 426.67945353, 72.39590835]),
l=1,
), # noqa
172.70477129,
places=7,
)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 74.05216981, 276.45318193]),
l=1,
), # noqa
20.59732717,
places=7,
)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 8.32281957, -73.58297716]),
l=1,
), # noqa
121.71841479,
places=7,
)
def test_delta_E_CMC(self):
"""
Tests :func:`colour.difference.delta_e.delta_E_CMC` definition.
"""
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 426.67945353, 72.39590835])),
172.704771287,
places=7)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 74.05216981, 276.45318193])),
20.5973271674,
places=7)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 8.32281957, -73.58297716])),
121.718414791,
places=7)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 426.67945353, 72.39590835]),
l=1),
172.704771287,
places=7)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 74.05216981, 276.45318193]),
l=1),
20.5973271674,
places=7)
self.assertAlmostEqual(
delta_E_CMC(
np.array([100.00000000, 21.57210357, 272.22819350]),
np.array([100.00000000, 8.32281957, -73.58297716]),
l=1),
121.718414791,
places=7)