def test_n_dimensional_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition n-dimensional arrays support.
"""
L = 0.18
V = 0.391006832034084
np.testing.assert_almost_equal(
log_encoding_ALEXALogC(L),
V,
decimal=7)
L = np.tile(L, 6)
V = np.tile(V, 6)
np.testing.assert_almost_equal(
log_encoding_ALEXALogC(L),
V,
decimal=7)
L = np.reshape(L, (2, 3))
V = np.reshape(V, (2, 3))
np.testing.assert_almost_equal(
log_encoding_ALEXALogC(L),
V,
decimal=7)
L = np.reshape(L, (2, 3, 1))
V = np.reshape(V, (2, 3, 1))
np.testing.assert_almost_equal(
log_encoding_ALEXALogC(L),
V,
decimal=7)
def test_n_dimensional_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition n-dimensional arrays support.
"""
L = 0.18
V = 0.391006832034084
np.testing.assert_almost_equal(
log_encoding_ALEXALogC(L),
V,
decimal=7)
L = np.tile(L, 6)
V = np.tile(V, 6)
np.testing.assert_almost_equal(
log_encoding_ALEXALogC(L),
V,
decimal=7)
L = np.reshape(L, (2, 3))
V = np.reshape(V, (2, 3))
np.testing.assert_almost_equal(
log_encoding_ALEXALogC(L),
V,
decimal=7)
L = np.reshape(L, (2, 3, 1))
V = np.reshape(V, (2, 3, 1))
np.testing.assert_almost_equal(
log_encoding_ALEXALogC(L),
V,
decimal=7)
def test_nan_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition nan support.
"""
log_encoding_ALEXALogC(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_nan_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition nan support.
"""
log_encoding_ALEXALogC(
np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition.
"""
self.assertAlmostEqual(
log_encoding_ALEXALogC(0.0), 0.092809000000000, places=7)
self.assertAlmostEqual(
log_encoding_ALEXALogC(0.18), 0.391006832034084, places=7)
self.assertAlmostEqual(
log_encoding_ALEXALogC(1.0), 0.570631558120417, places=7)
def test_domain_range_scale_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.arri_alexa_log_c.\
log_encoding_ALEXALogC` definition domain and range scale support.
"""
x = 0.18
t = log_encoding_ALEXALogC(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_ALEXALogC(x * factor), t * factor, decimal=7)
def test_domain_range_scale_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition domain and range scale support.
"""
x = 0.18
t = log_encoding_ALEXALogC(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_ALEXALogC(x * factor), t * factor, decimal=7)
def test_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition.
"""
self.assertAlmostEqual(
log_encoding_ALEXALogC(0.0), 0.092809000000000, places=7)
self.assertAlmostEqual(
log_encoding_ALEXALogC(0.18), 0.391006832034084, places=7)
self.assertAlmostEqual(
log_encoding_ALEXALogC(1.0), 0.570631558120417, places=7)
def test_n_dimensional_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition n-dimensional arrays support.
"""
x = 0.18
t = log_encoding_ALEXALogC(x)
x = np.tile(x, 6)
t = np.tile(t, 6)
np.testing.assert_almost_equal(log_encoding_ALEXALogC(x), t, decimal=7)
x = np.reshape(x, (2, 3))
t = np.reshape(t, (2, 3))
np.testing.assert_almost_equal(log_encoding_ALEXALogC(x), t, decimal=7)
x = np.reshape(x, (2, 3, 1))
t = np.reshape(t, (2, 3, 1))
np.testing.assert_almost_equal(log_encoding_ALEXALogC(x), t, decimal=7)
def test_n_dimensional_log_encoding_ALEXALogC(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_encoding_ALEXALogC` definition n-dimensional arrays support.
"""
x = 0.18
t = log_encoding_ALEXALogC(x)
x = np.tile(x, 6)
t = np.tile(t, 6)
np.testing.assert_almost_equal(log_encoding_ALEXALogC(x), t, decimal=7)
x = np.reshape(x, (2, 3))
t = np.reshape(t, (2, 3))
np.testing.assert_almost_equal(log_encoding_ALEXALogC(x), t, decimal=7)
x = np.reshape(x, (2, 3, 1))
t = np.reshape(t, (2, 3, 1))
np.testing.assert_almost_equal(log_encoding_ALEXALogC(x), t, decimal=7)
