def test_nan_eotf_inverse_BT1886(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.itur_bt_1886.\
eotf_inverse_BT1886` definition nan support.
"""
eotf_inverse_BT1886(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf,
np.nan]))
def test_eotf_inverse_BT1886(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.itur_bt_1886.\
eotf_inverse_BT1886` definition.
"""
self.assertAlmostEqual(eotf_inverse_BT1886(0.0), 0.0, places=7)
self.assertAlmostEqual(eotf_inverse_BT1886(0.016317514686316),
0.18,
places=7)
self.assertAlmostEqual(eotf_inverse_BT1886(1.0), 1.0, places=7)
def test_domain_range_scale_eotf_inverse_BT1886(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.itur_bt_1886.\
eotf_inverse_BT1886` definition domain and range scale support.
"""
L = 0.18
V = eotf_inverse_BT1886(L)
d_r = (('reference', 1), (1, 1), (100, 100))
for scale, factor in d_r:
with domain_range_scale(scale):
np.testing.assert_almost_equal(eotf_inverse_BT1886(L * factor),
V * factor,
decimal=7)
def test_n_dimensional_eotf_inverse_BT1886(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.itur_bt_1886.\
eotf_inverse_BT1886` definition n-dimensional arrays support.
"""
L = 0.016317514686316
V = eotf_inverse_BT1886(L)
L = np.tile(L, 6)
V = np.tile(V, 6)
np.testing.assert_almost_equal(eotf_inverse_BT1886(L), V, decimal=7)
L = np.reshape(L, (2, 3))
V = np.reshape(V, (2, 3))
np.testing.assert_almost_equal(eotf_inverse_BT1886(L), V, decimal=7)
L = np.reshape(L, (2, 3, 1))
V = np.reshape(V, (2, 3, 1))
np.testing.assert_almost_equal(eotf_inverse_BT1886(L), V, decimal=7)
