def test_nan_delta_E_DIN99(self):
"""
Tests :func:`colour.difference.din99.delta_E_DIN99` 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_DIN99(Lab_1, Lab_2)
def test_nan_delta_E_DIN99(self):
"""
Tests :func:`colour.difference.din99.delta_E_DIN99` 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_DIN99(Lab_1, Lab_2)
def test_domain_range_scale_delta_E_DIN99(self):
"""
Tests :func:`colour.difference.din99.delta_E_DIN99` definition
domain and range scale support.
"""
Lab_1 = np.array([60.25740000, -34.00990000, 36.26770000])
Lab_2 = np.array([60.46260000, -34.17510000, 39.43870000])
delta_E = delta_E_DIN99(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_DIN99(
Lab_1 * factor, Lab_2 * factor),
delta_E,
decimal=7)
def test_domain_range_scale_delta_E_DIN99(self):
"""
Tests :func:`colour.difference.din99.delta_E_DIN99` definition
domain and range scale support.
"""
Lab_1 = np.array([60.25740000, -34.00990000, 36.26770000])
Lab_2 = np.array([60.46260000, -34.17510000, 39.43870000])
delta_E = delta_E_DIN99(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_DIN99(Lab_1 * factor, Lab_2 * factor),
delta_E,
decimal=7)
def test_n_dimensional_delta_E_DIN99(self):
"""
Tests :func:`colour.difference.din99.delta_E_DIN99` definition
n-dimensional arrays support.
"""
Lab_1 = np.array([60.25740000, -34.00990000, 36.26770000])
Lab_2 = np.array([60.46260000, -34.17510000, 39.43870000])
delta_E = delta_E_DIN99(Lab_1, Lab_2)
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_DIN99(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_DIN99(Lab_1, Lab_2), delta_E, decimal=7)
def test_delta_E_DIN99(self):
"""Test :func:`colour.difference.din99.delta_E_DIN99` definition."""
self.assertAlmostEqual(
delta_E_DIN99(
np.array([60.25740000, -34.00990000, 36.26770000]),
np.array([60.46260000, -34.17510000, 39.43870000]),
),
1.177216620111552,
places=7,
)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([63.01090000, -31.09610000, -5.86630000]),
np.array([62.81870000, -29.79460000, -4.08640000]),
),
0.987529977993114,
places=7,
)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([35.08310000, -44.11640000, 3.79330000]),
np.array([35.02320000, -40.07160000, 1.59010000]),
),
1.535894757971742,
places=7,
)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([60.25740000, -34.00990000, 36.26770000]),
np.array([60.46260000, -34.17510000, 39.43870000]),
textiles=True,
),
1.215652775586509,
places=7,
)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([63.01090000, -31.09610000, -5.86630000]),
np.array([62.81870000, -29.79460000, -4.08640000]),
textiles=True,
),
1.025997138865984,
places=7,
)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([35.08310000, -44.11640000, 3.79330000]),
np.array([35.02320000, -40.07160000, 1.59010000]),
textiles=True,
),
1.539922810033725,
places=7,
)
def test_n_dimensional_delta_E_DIN99(self):
"""
Tests :func:`colour.difference.din99.delta_E_DIN99` definition
n-dimensional arrays support.
"""
Lab_1 = np.array([60.25740000, -34.00990000, 36.26770000])
Lab_2 = np.array([60.46260000, -34.17510000, 39.43870000])
delta_E = delta_E_DIN99(Lab_1, Lab_2)
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_DIN99(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_DIN99(Lab_1, Lab_2),
delta_E,
decimal=7)
def test_delta_E_DIN99(self):
"""
Tests :func:`colour.difference.din99.delta_E_DIN99` definition.
"""
self.assertAlmostEqual(
delta_E_DIN99(
np.array([60.25740000, -34.00990000, 36.26770000]),
np.array([60.46260000, -34.17510000, 39.43870000])),
1.177216620111552,
places=7)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([63.01090000, -31.09610000, -5.86630000]),
np.array([62.81870000, -29.79460000, -4.08640000])),
0.987529977993114,
places=7)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([35.08310000, -44.11640000, 3.79330000]),
np.array([35.02320000, -40.07160000, 1.59010000])),
1.535894757971742,
places=7)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([60.25740000, -34.00990000, 36.26770000]),
np.array([60.46260000, -34.17510000, 39.43870000]),
textiles=True),
1.215652775586509,
places=7)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([63.01090000, -31.09610000, -5.86630000]),
np.array([62.81870000, -29.79460000, -4.08640000]),
textiles=True),
1.025997138865984,
places=7)
self.assertAlmostEqual(
delta_E_DIN99(
np.array([35.08310000, -44.11640000, 3.79330000]),
np.array([35.02320000, -40.07160000, 1.59010000]),
textiles=True),
1.539922810033725,
places=7)