def test_n_dimensional_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition n-dimensional arrays support.
"""
lin_AP1 = 0.18
ACESproxy = 0.416422287390029
np.testing.assert_almost_equal(log_encoding_ACESproxy(lin_AP1),
ACESproxy,
decimal=7)
lin_AP1 = np.tile(lin_AP1, 6)
ACESproxy = np.tile(ACESproxy, 6)
np.testing.assert_almost_equal(log_encoding_ACESproxy(lin_AP1),
ACESproxy,
decimal=7)
lin_AP1 = np.reshape(lin_AP1, (2, 3))
ACESproxy = np.reshape(ACESproxy, (2, 3))
np.testing.assert_almost_equal(log_encoding_ACESproxy(lin_AP1),
ACESproxy,
decimal=7)
lin_AP1 = np.reshape(lin_AP1, (2, 3, 1))
ACESproxy = np.reshape(ACESproxy, (2, 3, 1))
np.testing.assert_almost_equal(log_encoding_ACESproxy(lin_AP1),
ACESproxy,
decimal=7)
def test_n_dimensional_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition n-dimensional arrays support.
"""
linear = 0.18
log = 426
np.testing.assert_equal(
log_encoding_ACESproxy(linear),
log)
linear = np.tile(linear, 6)
log = np.tile(log, 6)
np.testing.assert_equal(
log_encoding_ACESproxy(linear),
log)
linear = np.reshape(linear, (2, 3))
log = np.reshape(log, (2, 3))
np.testing.assert_equal(
log_encoding_ACESproxy(linear),
log)
linear = np.reshape(linear, (2, 3, 1))
log = np.reshape(log, (2, 3, 1))
np.testing.assert_almost_equal(
log_encoding_ACESproxy(linear),
log)
def test_nan_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition nan support.
"""
log_encoding_ACESproxy(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_nan_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition nan support.
"""
log_encoding_ACESproxy(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition.
"""
self.assertEqual(log_encoding_ACESproxy(0.0), 64)
self.assertEqual(log_encoding_ACESproxy(0.18), 426)
self.assertEqual(log_encoding_ACESproxy(1.0), 550)
def test_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition.
"""
self.assertEqual(log_encoding_ACESproxy(0.0), 64)
self.assertEqual(log_encoding_ACESproxy(0.18), 426)
self.assertEqual(log_encoding_ACESproxy(1.0), 550)
def test_domain_range_scale_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition domain and range scale support.
"""
lin_AP1 = 0.18
ACESproxy = log_encoding_ACESproxy(lin_AP1)
d_r = (('reference', 1), (1, 1), (100, 100))
for scale, factor in d_r:
with domain_range_scale(scale):
np.testing.assert_almost_equal(log_encoding_ACESproxy(lin_AP1 *
factor),
ACESproxy * factor,
decimal=7)
def test_domain_range_scale_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition domain and range scale support.
"""
lin_AP1 = 0.18
ACESproxy = log_encoding_ACESproxy(lin_AP1)
d_r = (('reference', 1), (1, 1), (100, 100))
for scale, factor in d_r:
with domain_range_scale(scale):
np.testing.assert_almost_equal(
log_encoding_ACESproxy(lin_AP1 * factor),
ACESproxy * factor,
decimal=7)
def test_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition.
"""
self.assertAlmostEqual(
log_encoding_ACESproxy(0.0), 0.062561094819159, places=7)
self.assertAlmostEqual(
log_encoding_ACESproxy(0.18), 0.416422287390029, places=7)
self.assertAlmostEqual(
log_encoding_ACESproxy(0.18, 12), 0.416361416361416, places=7)
self.assertAlmostEqual(
log_encoding_ACESproxy(1.0), 0.537634408602151, places=7)
self.assertEqual(log_encoding_ACESproxy(0.18, out_int=True), 426)
def test_n_dimensional_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition n-dimensional arrays support.
"""
linear = 0.18
log = 426
np.testing.assert_equal(log_encoding_ACESproxy(linear), log)
linear = np.tile(linear, 6)
log = np.tile(log, 6)
np.testing.assert_equal(log_encoding_ACESproxy(linear), log)
linear = np.reshape(linear, (2, 3))
log = np.reshape(log, (2, 3))
np.testing.assert_equal(log_encoding_ACESproxy(linear), log)
linear = np.reshape(linear, (2, 3, 1))
log = np.reshape(log, (2, 3, 1))
np.testing.assert_almost_equal(log_encoding_ACESproxy(linear), log)
def test_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition.
"""
self.assertAlmostEqual(log_encoding_ACESproxy(0.0),
0.062561094819159,
places=7)
self.assertAlmostEqual(log_encoding_ACESproxy(0.18),
0.416422287390029,
places=7)
self.assertAlmostEqual(log_encoding_ACESproxy(0.18, 12),
0.416361416361416,
places=7)
self.assertAlmostEqual(log_encoding_ACESproxy(1.0),
0.537634408602151,
places=7)
self.assertEqual(log_encoding_ACESproxy(0.18, out_int=True), 426)
def test_n_dimensional_log_encoding_ACESproxy(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_encoding_ACESproxy` definition n-dimensional arrays support.
"""
lin_AP1 = 0.18
ACESproxy = log_encoding_ACESproxy(lin_AP1)
lin_AP1 = np.tile(lin_AP1, 6)
ACESproxy = np.tile(ACESproxy, 6)
np.testing.assert_almost_equal(
log_encoding_ACESproxy(lin_AP1), ACESproxy, decimal=7)
lin_AP1 = np.reshape(lin_AP1, (2, 3))
ACESproxy = np.reshape(ACESproxy, (2, 3))
np.testing.assert_almost_equal(
log_encoding_ACESproxy(lin_AP1), ACESproxy, decimal=7)
lin_AP1 = np.reshape(lin_AP1, (2, 3, 1))
ACESproxy = np.reshape(ACESproxy, (2, 3, 1))
np.testing.assert_almost_equal(
log_encoding_ACESproxy(lin_AP1), ACESproxy, decimal=7)
