def test_nan_log_encoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_encoding_SLog2` definition nan support.
"""
log_encoding_SLog2(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_nan_log_encoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_encoding_SLog2` definition nan support.
"""
log_encoding_SLog2(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_domain_range_scale_log_encoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_encoding_SLog2` definition domain and range scale support.
"""
x = 0.18
y = log_encoding_SLog2(x)
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_SLog2(x * factor), y * factor, decimal=7)
def test_domain_range_scale_log_encoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_encoding_SLog2` definition domain and range scale support.
"""
x = 0.18
y = log_encoding_SLog2(x)
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_SLog2(x * factor), y * factor, decimal=7)
def test_n_dimensional_log_encoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_encoding_SLog2` definition n-dimensional arrays support.
"""
x = 0.18
y = log_encoding_SLog2(x)
x = np.tile(x, 6)
y = np.tile(y, 6)
np.testing.assert_almost_equal(log_encoding_SLog2(x), y, decimal=7)
x = np.reshape(x, (2, 3))
y = np.reshape(y, (2, 3))
np.testing.assert_almost_equal(log_encoding_SLog2(x), y, decimal=7)
x = np.reshape(x, (2, 3, 1))
y = np.reshape(y, (2, 3, 1))
np.testing.assert_almost_equal(log_encoding_SLog2(x), y, decimal=7)
def test_n_dimensional_log_encoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_encoding_SLog2` definition n-dimensional arrays support.
"""
x = 0.18
y = log_encoding_SLog2(x)
x = np.tile(x, 6)
y = np.tile(y, 6)
np.testing.assert_almost_equal(log_encoding_SLog2(x), y, decimal=7)
x = np.reshape(x, (2, 3))
y = np.reshape(y, (2, 3))
np.testing.assert_almost_equal(log_encoding_SLog2(x), y, decimal=7)
x = np.reshape(x, (2, 3, 1))
y = np.reshape(y, (2, 3, 1))
np.testing.assert_almost_equal(log_encoding_SLog2(x), y, decimal=7)
def test_log_encoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_encoding_SLog2` definition.
"""
self.assertAlmostEqual(log_encoding_SLog2(0.0),
0.088251291513446,
places=7)
self.assertAlmostEqual(log_encoding_SLog2(0.18),
0.339532524633774,
places=7)
self.assertAlmostEqual(log_encoding_SLog2(0.18, 12),
0.339283782857486,
places=7)
self.assertAlmostEqual(log_encoding_SLog2(0.18, 10, False),
0.323449512215013,
places=7)
self.assertAlmostEqual(log_encoding_SLog2(0.18, 10, False, False),
0.307980741258647,
places=7)
self.assertAlmostEqual(log_encoding_SLog2(1.0),
0.585091059564112,
places=7)
def test_log_encoding_SLog2(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\
log_encoding_SLog2` definition.
"""
self.assertAlmostEqual(
log_encoding_SLog2(0.0), 0.088251291513446, places=7)
self.assertAlmostEqual(
log_encoding_SLog2(0.18), 0.339532524633774, places=7)
self.assertAlmostEqual(
log_encoding_SLog2(0.18, 12), 0.339283782857486, places=7)
self.assertAlmostEqual(
log_encoding_SLog2(0.18, 10, False), 0.323449512215013, places=7)
self.assertAlmostEqual(
log_encoding_SLog2(0.18, 10, False, False),
0.307980741258647,
places=7)
self.assertAlmostEqual(
log_encoding_SLog2(1.0), 0.585091059564112, places=7)
