def test_nan_log_decoding_DLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.filmlight_tlog.\
log_decoding_FilmLight_T_Log` definition nan support.
"""
log_decoding_DJIDLog(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_nan_log_decoding_DLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.filmlight_tlog.\
log_decoding_FilmLight_T_Log` definition nan support.
"""
log_decoding_DJIDLog(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_log_decoding_DJIDLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.filmlight_tlog.\
log_decoding_FilmLight_T_Log` definition.
"""
self.assertAlmostEqual(log_decoding_DJIDLog(0.0929), 0.0, places=7)
self.assertAlmostEqual(
log_decoding_DJIDLog(0.398764556189331), 0.18, places=6)
self.assertAlmostEqual(log_decoding_DJIDLog(0.584555), 1.0, places=6)
def test_log_decoding_DJIDLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.dji_dlog.\
log_decoding_DJIDLog` definition.
"""
self.assertAlmostEqual(log_decoding_DJIDLog(0.0929), 0.0, places=7)
self.assertAlmostEqual(
log_decoding_DJIDLog(0.398764556189331), 0.18, places=6)
self.assertAlmostEqual(log_decoding_DJIDLog(0.584555), 1.0, places=6)
def test_domain_range_scale_log_decoding_DLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.dji_dlog.\
log_decoding_DJIDLog` definition domain and range scale support.
"""
y = 0.398764556189331
x = log_decoding_DJIDLog(y)
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_DJIDLog(y * factor), x * factor, decimal=7)
def test_domain_range_scale_log_decoding_DLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.dji_dlog.\
log_decoding_DJIDLog` definition domain and range scale support.
"""
y = 0.398764556189331
x = log_decoding_DJIDLog(y)
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_DJIDLog(y * factor), x * factor, decimal=7)
def test_n_dimensional_log_decoding_DLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.dji_dlog.\
log_decoding_DJIDLog` definition n-dimensional arrays support.
"""
y = 0.398764556189331
x = log_decoding_DJIDLog(y)
y = np.tile(y, 6)
x = np.tile(x, 6)
np.testing.assert_almost_equal(log_decoding_DJIDLog(y), x, decimal=7)
y = np.reshape(y, (2, 3))
x = np.reshape(x, (2, 3))
np.testing.assert_almost_equal(log_decoding_DJIDLog(y), x, decimal=7)
y = np.reshape(y, (2, 3, 1))
x = np.reshape(x, (2, 3, 1))
np.testing.assert_almost_equal(log_decoding_DJIDLog(y), x, decimal=7)
def test_n_dimensional_log_decoding_DLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.dji_dlog.\
log_decoding_DJIDLog` definition n-dimensional arrays support.
"""
y = 0.398764556189331
x = log_decoding_DJIDLog(y)
y = np.tile(y, 6)
x = np.tile(x, 6)
np.testing.assert_almost_equal(log_decoding_DJIDLog(y), x, decimal=7)
y = np.reshape(y, (2, 3))
x = np.reshape(x, (2, 3))
np.testing.assert_almost_equal(log_decoding_DJIDLog(y), x, decimal=7)
y = np.reshape(y, (2, 3, 1))
x = np.reshape(x, (2, 3, 1))
np.testing.assert_almost_equal(log_decoding_DJIDLog(y), x, decimal=7)