def test_nan_log_decoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_decoding_SLog2` definition nan support.
"""
log_decoding_SLog2(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_nan_log_decoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_decoding_SLog2` definition nan support.
"""
log_decoding_SLog2(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_domain_range_scale_log_decoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_decoding_SLog2` definition domain and range scale support.
"""
y = 0.339532524633774
x = log_decoding_SLog2(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_SLog2(y * factor), x * factor, decimal=7)
def test_domain_range_scale_log_decoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_decoding_SLog2` definition domain and range scale support.
"""
y = 0.339532524633774
x = log_decoding_SLog2(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_SLog2(y * factor), x * factor, decimal=7)
def test_n_dimensional_log_decoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_decoding_SLog2` definition n-dimensional arrays support.
"""
y = 0.339532524633774
x = log_decoding_SLog2(y)
y = np.tile(y, 6)
x = np.tile(x, 6)
np.testing.assert_almost_equal(log_decoding_SLog2(y), x, decimal=7)
y = np.reshape(y, (2, 3))
x = np.reshape(x, (2, 3))
np.testing.assert_almost_equal(log_decoding_SLog2(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_SLog2(y), x, decimal=7)
def test_n_dimensional_log_decoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_decoding_SLog2` definition n-dimensional arrays support.
"""
y = 0.339532524633774
x = log_decoding_SLog2(y)
y = np.tile(y, 6)
x = np.tile(x, 6)
np.testing.assert_almost_equal(log_decoding_SLog2(y), x, decimal=7)
y = np.reshape(y, (2, 3))
x = np.reshape(x, (2, 3))
np.testing.assert_almost_equal(log_decoding_SLog2(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_SLog2(y), x, decimal=7)
def test_log_decoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_decoding_SLog2` definition.
"""
self.assertAlmostEqual(log_decoding_SLog2(0.088251291513446),
0.0,
places=7)
self.assertAlmostEqual(log_decoding_SLog2(0.339532524633774),
0.18,
places=7)
self.assertAlmostEqual(log_decoding_SLog2(0.339283782857486, 12),
0.18,
places=7)
self.assertAlmostEqual(log_decoding_SLog2(0.323449512215013, 10,
False),
0.18,
places=7)
self.assertAlmostEqual(log_decoding_SLog2(0.307980741258647, 10, False,
False),
0.18,
places=7)
self.assertAlmostEqual(log_decoding_SLog2(0.585091059564112),
1.0,
places=7)
def test_log_decoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_decoding_SLog2` definition.
"""
self.assertAlmostEqual(
log_decoding_SLog2(0.088251291513446), 0.0, places=7)
self.assertAlmostEqual(
log_decoding_SLog2(0.339532524633774), 0.18, places=7)
self.assertAlmostEqual(
log_decoding_SLog2(0.339283782857486, 12), 0.18, places=7)
self.assertAlmostEqual(
log_decoding_SLog2(0.323449512215013, 10, False), 0.18, places=7)
self.assertAlmostEqual(
log_decoding_SLog2(0.307980741258647, 10, False, False),
0.18,
places=7)
self.assertAlmostEqual(
log_decoding_SLog2(0.585091059564112), 1.0, places=7)
