def test_n_dimensional_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition n-dimensional arrays support.
"""
log = 0.413588402492442
linear = 0.18
np.testing.assert_almost_equal(log_decoding_ACEScc(log),
linear,
decimal=7)
log = np.tile(log, 6)
linear = np.tile(linear, 6)
np.testing.assert_almost_equal(log_decoding_ACEScc(log),
linear,
decimal=7)
log = np.reshape(log, (2, 3))
linear = np.reshape(linear, (2, 3))
np.testing.assert_almost_equal(log_decoding_ACEScc(log),
linear,
decimal=7)
log = np.reshape(log, (2, 3, 1))
linear = np.reshape(linear, (2, 3, 1))
np.testing.assert_almost_equal(log_decoding_ACEScc(log),
linear,
decimal=7)
def test_n_dimensional_log_decoding_ACEScc(self):
"""
Test :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition n-dimensional arrays support.
"""
ACEScc = 0.413588402492442
lin_AP1 = log_decoding_ACEScc(ACEScc)
ACEScc = np.tile(ACEScc, 6)
lin_AP1 = np.tile(lin_AP1, 6)
np.testing.assert_almost_equal(
log_decoding_ACEScc(ACEScc), lin_AP1, decimal=7
)
ACEScc = np.reshape(ACEScc, (2, 3))
lin_AP1 = np.reshape(lin_AP1, (2, 3))
np.testing.assert_almost_equal(
log_decoding_ACEScc(ACEScc), lin_AP1, decimal=7
)
ACEScc = np.reshape(ACEScc, (2, 3, 1))
lin_AP1 = np.reshape(lin_AP1, (2, 3, 1))
np.testing.assert_almost_equal(
log_decoding_ACEScc(ACEScc), lin_AP1, decimal=7
)
def test_n_dimensional_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition n-dimensional arrays support.
"""
log = 0.413588402492442
linear = 0.18
np.testing.assert_almost_equal(
log_decoding_ACEScc(log),
linear,
decimal=7)
log = np.tile(log, 6)
linear = np.tile(linear, 6)
np.testing.assert_almost_equal(
log_decoding_ACEScc(log),
linear,
decimal=7)
log = np.reshape(log, (2, 3))
linear = np.reshape(linear, (2, 3))
np.testing.assert_almost_equal(
log_decoding_ACEScc(log),
linear,
decimal=7)
log = np.reshape(log, (2, 3, 1))
linear = np.reshape(linear, (2, 3, 1))
np.testing.assert_almost_equal(
log_decoding_ACEScc(log),
linear,
decimal=7)
def test_nan_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition nan support.
"""
log_decoding_ACEScc(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf,
np.nan]))
def test_nan_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition nan support.
"""
log_decoding_ACEScc(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition.
"""
self.assertAlmostEqual(
log_decoding_ACEScc(-0.358447488584475), 0.0, places=7)
self.assertAlmostEqual(
log_decoding_ACEScc(0.413588402492442), 0.18, places=7)
self.assertAlmostEqual(
log_decoding_ACEScc(0.554794520547945), 1.0, places=7)
def test_domain_range_scale_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition domain and range scale support.
"""
ACEScc = 0.413588402492442
lin_AP1 = log_decoding_ACEScc(ACEScc)
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_decoding_ACEScc(ACEScc *
factor),
lin_AP1 * factor,
decimal=7)
def test_domain_range_scale_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition domain and range scale support.
"""
ACEScc = 0.413588402492442
lin_AP1 = log_decoding_ACEScc(ACEScc)
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_decoding_ACEScc(ACEScc * factor),
lin_AP1 * factor,
decimal=7)
def test_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition.
"""
self.assertAlmostEqual(log_decoding_ACEScc(-0.358447488584475),
0.0,
places=7)
self.assertAlmostEqual(log_decoding_ACEScc(0.413588402492442),
0.18,
places=7)
self.assertAlmostEqual(log_decoding_ACEScc(0.554794520547945),
1.0,
places=7)
def test_ACEScc_equivalency_log_decoding_ACEScct(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScct` definition ACEScc equivalency, and explicit requirement
specified by AMPAS ACES specification S-2016-001 (https://github.com/ampas/\
aces-dev/blob/v1.0.3/documents/LaTeX/S-2016-001/introduction.tex#L14)
"""
equiv = np.linspace(0.15525114155251146, 1.0, 100)
np.testing.assert_almost_equal(
log_decoding_ACEScct(equiv), log_decoding_ACEScc(equiv), decimal=7)
def test_ACEScc_equivalency_log_decoding_ACEScct(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScct` definition ACEScc equivalency, and explicit requirement
specified by AMPAS ACES specification S-2016-001 (https://github.com/ampas/\
aces-dev/blob/v1.0.3/documents/LaTeX/S-2016-001/introduction.tex#L14)
"""
equiv = np.linspace(0.15525114155251146, 1.0, 100)
np.testing.assert_almost_equal(log_decoding_ACEScct(equiv),
log_decoding_ACEScc(equiv),
decimal=7)
def test_n_dimensional_log_decoding_ACEScc(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.aces.\
log_decoding_ACEScc` definition n-dimensional arrays support.
"""
ACEScc = 0.413588402492442
lin_AP1 = log_decoding_ACEScc(ACEScc)
ACEScc = np.tile(ACEScc, 6)
lin_AP1 = np.tile(lin_AP1, 6)
np.testing.assert_almost_equal(
log_decoding_ACEScc(ACEScc), lin_AP1, decimal=7)
ACEScc = np.reshape(ACEScc, (2, 3))
lin_AP1 = np.reshape(lin_AP1, (2, 3))
np.testing.assert_almost_equal(
log_decoding_ACEScc(ACEScc), lin_AP1, decimal=7)
ACEScc = np.reshape(ACEScc, (2, 3, 1))
lin_AP1 = np.reshape(lin_AP1, (2, 3, 1))
np.testing.assert_almost_equal(
log_decoding_ACEScc(ACEScc), lin_AP1, decimal=7)
