def test_n_dimensional_log_encoding_FLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.fujifilm_flog.\
log_encoding_FLog` definition n-dimensional arrays support.
"""
L_in = 0.18
V_out = log_encoding_FLog(L_in)
L_in = np.tile(L_in, 6)
V_out = np.tile(V_out, 6)
np.testing.assert_almost_equal(log_encoding_FLog(L_in),
V_out,
decimal=7)
L_in = np.reshape(L_in, (2, 3))
V_out = np.reshape(V_out, (2, 3))
np.testing.assert_almost_equal(log_encoding_FLog(L_in),
V_out,
decimal=7)
L_in = np.reshape(L_in, (2, 3, 1))
V_out = np.reshape(V_out, (2, 3, 1))
np.testing.assert_almost_equal(log_encoding_FLog(L_in),
V_out,
decimal=7)
def test_nan_log_encoding_FLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.fujifilm_flog.\
log_encoding_FLog` definition nan support.
"""
log_encoding_FLog(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_domain_range_scale_log_encoding_FLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.fujifilm_flog.\
log_encoding_FLog` definition domain and range scale support.
"""
L_in = 0.18
V_out = log_encoding_FLog(L_in)
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_FLog(L_in *
factor),
V_out * factor,
decimal=7)
def test_log_encoding_FLog(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.fujifilm_flog.\
log_encoding_FLog` definition.
"""
self.assertAlmostEqual(log_encoding_FLog(0.0),
0.092864000000000,
places=7)
self.assertAlmostEqual(log_encoding_FLog(0.18),
0.459318458661621,
places=7)
self.assertAlmostEqual(log_encoding_FLog(0.18, 12),
0.459318458661621,
places=7)
self.assertAlmostEqual(log_encoding_FLog(0.18, 10, False),
0.463336510514656,
places=7)
self.assertAlmostEqual(log_encoding_FLog(0.18, 10, False, False),
0.446590337236003,
places=7)
self.assertAlmostEqual(log_encoding_FLog(1.0),
0.704996409216428,
places=7)
