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)