def test_nan_log_encoding_Log3G10(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.red_log.\
log_encoding_Log3G10` definition nan support.
"""
log_encoding_Log3G10(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]),
legacy_curve=True)
log_encoding_Log3G10(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]),
legacy_curve=False)
def test_nan_log_encoding_Log3G10(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.red_log.\
log_encoding_Log3G10` definition nan support.
"""
log_encoding_Log3G10(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]),
legacy_curve=True)
log_encoding_Log3G10(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]),
legacy_curve=False)
def test_domain_range_scale_log_encoding_Log3G10(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.red_log.\
log_encoding_Log3G10` definition domain and range scale support.
"""
x = 0.18
y = log_encoding_Log3G10(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_Log3G10(x * factor), y * factor, decimal=7)
def test_n_dimensional_log_encoding_Log3G10(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.red_log.\
log_encoding_Log3G10` definition n-dimensional arrays support.
"""
x = 0.18
y_1 = log_encoding_Log3G10(x, legacy_curve=True)
y_2 = log_encoding_Log3G10(x, legacy_curve=False)
x = np.tile(x, 6)
y_1 = np.tile(y_1, 6)
y_2 = np.tile(y_2, 6)
np.testing.assert_almost_equal(
log_encoding_Log3G10(x, legacy_curve=True), y_1, decimal=7)
np.testing.assert_almost_equal(
log_encoding_Log3G10(x, legacy_curve=False), y_2, decimal=7)
x = np.reshape(x, (2, 3))
y_1 = np.reshape(y_1, (2, 3))
y_2 = np.reshape(y_2, (2, 3))
np.testing.assert_almost_equal(
log_encoding_Log3G10(x, legacy_curve=True), y_1, decimal=7)
np.testing.assert_almost_equal(
log_encoding_Log3G10(x, legacy_curve=False), y_2, decimal=7)
x = np.reshape(x, (2, 3, 1))
y_1 = np.reshape(y_1, (2, 3, 1))
y_2 = np.reshape(y_2, (2, 3, 1))
np.testing.assert_almost_equal(
log_encoding_Log3G10(x, legacy_curve=True), y_1, decimal=7)
np.testing.assert_almost_equal(
log_encoding_Log3G10(x, legacy_curve=False), y_2, decimal=7)
def test_n_dimensional_log_encoding_Log3G10(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.red_log.\
log_encoding_Log3G10` definition n-dimensional arrays support.
"""
L = 0.18
V1 = 0.333333644207707
V2 = 0.333332912025992
np.testing.assert_almost_equal(log_encoding_Log3G10(L,
legacy_curve=True),
V1,
decimal=7)
np.testing.assert_almost_equal(log_encoding_Log3G10(
L, legacy_curve=False),
V2,
decimal=7)
L = np.tile(L, 6)
V1 = np.tile(V1, 6)
V2 = np.tile(V2, 6)
np.testing.assert_almost_equal(log_encoding_Log3G10(L,
legacy_curve=True),
V1,
decimal=7)
np.testing.assert_almost_equal(log_encoding_Log3G10(
L, legacy_curve=False),
V2,
decimal=7)
L = np.reshape(L, (2, 3))
V1 = np.reshape(V1, (2, 3))
V2 = np.reshape(V2, (2, 3))
np.testing.assert_almost_equal(log_encoding_Log3G10(L,
legacy_curve=True),
V1,
decimal=7)
np.testing.assert_almost_equal(log_encoding_Log3G10(
L, legacy_curve=False),
V2,
decimal=7)
L = np.reshape(L, (2, 3, 1))
V1 = np.reshape(V1, (2, 3, 1))
V2 = np.reshape(V2, (2, 3, 1))
np.testing.assert_almost_equal(log_encoding_Log3G10(L,
legacy_curve=True),
V1,
decimal=7)
np.testing.assert_almost_equal(log_encoding_Log3G10(
L, legacy_curve=False),
V2,
decimal=7)
def test_log_encoding_Log3G10(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.red_log.\
log_encoding_Log3G10` definition.
"""
self.assertAlmostEqual(
log_encoding_Log3G10(-1.0, legacy_curve=True),
-0.496483569056003,
places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(0.0, legacy_curve=True), 0.0, places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(0.18, legacy_curve=True),
0.333333644207707,
places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(-1.0, legacy_curve=False),
-0.491512777522511,
places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(0.0, legacy_curve=False),
0.091551487714745,
places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(0.18, legacy_curve=False),
0.333332912025992,
places=7)
def test_log_encoding_Log3G10(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.red_log.\
log_encoding_Log3G10` definition.
"""
self.assertAlmostEqual(
log_encoding_Log3G10(-1.0, legacy_curve=True),
-0.496483569056003,
places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(0.0, legacy_curve=True), 0.0, places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(0.18, legacy_curve=True),
0.333333644207707,
places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(-1.0, legacy_curve=False),
-0.491512777522511,
places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(0.0, legacy_curve=False),
0.091551487714745,
places=7)
self.assertAlmostEqual(
log_encoding_Log3G10(0.18, legacy_curve=False),
0.333332912025992,
places=7)
