def test_nan_log_decoding_VLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition nan support.
"""
log_decoding_VLog(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_nan_log_decoding_VLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition nan support.
"""
log_decoding_VLog(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_n_dimensional_log_decoding_VLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition n-dimensional arrays support.
"""
V_out = 0.423311448760136
L_in = 0.18
np.testing.assert_almost_equal(log_decoding_VLog(V_out),
L_in,
decimal=7)
V_out = np.tile(V_out, 6)
L_in = np.tile(L_in, 6)
np.testing.assert_almost_equal(log_decoding_VLog(V_out),
L_in,
decimal=7)
V_out = np.reshape(V_out, (2, 3))
L_in = np.reshape(L_in, (2, 3))
np.testing.assert_almost_equal(log_decoding_VLog(V_out),
L_in,
decimal=7)
V_out = np.reshape(V_out, (2, 3, 1))
L_in = np.reshape(L_in, (2, 3, 1))
np.testing.assert_almost_equal(log_decoding_VLog(V_out),
L_in,
decimal=7)
def test_n_dimensional_log_decoding_VLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition n-dimensional arrays support.
"""
V = 0.423311448760136
L = 0.18
np.testing.assert_almost_equal(
log_decoding_VLog(V),
L,
decimal=7)
V = np.tile(V, 6)
L = np.tile(L, 6)
np.testing.assert_almost_equal(
log_decoding_VLog(V),
L,
decimal=7)
V = np.reshape(V, (2, 3))
L = np.reshape(L, (2, 3))
np.testing.assert_almost_equal(
log_decoding_VLog(V),
L,
decimal=7)
V = np.reshape(V, (2, 3, 1))
L = np.reshape(L, (2, 3, 1))
np.testing.assert_almost_equal(
log_decoding_VLog(V),
L,
decimal=7)
def test_log_decoding_VLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition.
"""
self.assertAlmostEqual(log_decoding_VLog(0.125), 0.0, places=7)
self.assertAlmostEqual(log_decoding_VLog(0.423311448760136),
0.18,
places=7)
self.assertAlmostEqual(log_decoding_VLog(0.599117700158146),
1.0,
places=7)
def test_domain_range_scale_log_decoding_VLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition domain and range scale support.
"""
V_out = 0.423311448760136
L_in = log_decoding_VLog(V_out)
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_VLog(V_out *
factor),
L_in * factor,
decimal=7)
def test_domain_range_scale_log_decoding_VLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition domain and range scale support.
"""
V_out = 0.423311448760136
L_in = log_decoding_VLog(V_out)
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_VLog(V_out * factor),
L_in * factor,
decimal=7)
def test_log_decoding_VLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition.
"""
self.assertAlmostEqual(
log_decoding_VLog(0.125),
0.0,
places=7)
self.assertAlmostEqual(
log_decoding_VLog(0.423311448760136),
0.18,
places=7)
self.assertAlmostEqual(
log_decoding_VLog(0.599117700158146),
1.0,
places=7)
def test_log_decoding_VLog(self):
"""
Test :func:`colour.models.rgb.transfer_functions.panasonic_vlog.\
log_decoding_VLog` definition.
"""
self.assertAlmostEqual(log_decoding_VLog(0.125), 0.0, places=7)
self.assertAlmostEqual(log_decoding_VLog(0.423311448760136),
0.18,
places=7)
self.assertAlmostEqual(log_decoding_VLog(0.423311448760136, 12),
0.18,
places=7)
self.assertAlmostEqual(log_decoding_VLog(0.421287228403675, 10, False),
0.18,
places=7)
self.assertAlmostEqual(
log_decoding_VLog(0.409009628526078, 10, False, False),
0.18,
places=7,
)
self.assertAlmostEqual(log_decoding_VLog(0.599117700158146),
1.0,
places=7)
