def test_nan_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition nan support. """ log_encoding_SLog(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_n_dimensional_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition n-dimensional arrays support. """ L = 0.18 V = 0.359987846422154 np.testing.assert_almost_equal( log_encoding_SLog(L), V, decimal=7) L = np.tile(L, 6) V = np.tile(V, 6) np.testing.assert_almost_equal( log_encoding_SLog(L), V, decimal=7) L = np.reshape(L, (2, 3)) V = np.reshape(V, (2, 3)) np.testing.assert_almost_equal( log_encoding_SLog(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_SLog(L), V, decimal=7)
def test_nan_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition nan support. """ log_encoding_SLog(np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_domain_range_scale_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition domain and range scale support. """ x = 0.18 y = log_encoding_SLog(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_SLog(x * factor), y * factor, decimal=7)
def test_domain_range_scale_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition domain and range scale support. """ x = 0.18 y = log_encoding_SLog(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_SLog(x * factor), y * factor, decimal=7)
def test_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition. """ self.assertAlmostEqual(log_encoding_SLog(0.0), 0.030001222851889, places=7) self.assertAlmostEqual(log_encoding_SLog(0.18), 0.359987846422154, places=7) self.assertAlmostEqual(log_encoding_SLog(1.0), 0.653529251225308, places=7)
def test_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition. """ self.assertAlmostEqual( log_encoding_SLog(0.0), 0.030001222851889, places=7) self.assertAlmostEqual( log_encoding_SLog(0.18), 0.359987846422154, places=7) self.assertAlmostEqual( log_encoding_SLog(1.0), 0.653529251225308, places=7)
def test_n_dimensional_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition n-dimensional arrays support. """ x = 0.18 y = log_encoding_SLog(x) x = np.tile(x, 6) y = np.tile(y, 6) np.testing.assert_almost_equal(log_encoding_SLog(x), y, decimal=7) x = np.reshape(x, (2, 3)) y = np.reshape(y, (2, 3)) np.testing.assert_almost_equal(log_encoding_SLog(x), y, decimal=7) x = np.reshape(x, (2, 3, 1)) y = np.reshape(y, (2, 3, 1)) np.testing.assert_almost_equal(log_encoding_SLog(x), y, decimal=7)
def test_n_dimensional_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition n-dimensional arrays support. """ x = 0.18 y = log_encoding_SLog(x) x = np.tile(x, 6) y = np.tile(y, 6) np.testing.assert_almost_equal(log_encoding_SLog(x), y, decimal=7) x = np.reshape(x, (2, 3)) y = np.reshape(y, (2, 3)) np.testing.assert_almost_equal(log_encoding_SLog(x), y, decimal=7) x = np.reshape(x, (2, 3, 1)) y = np.reshape(y, (2, 3, 1)) np.testing.assert_almost_equal(log_encoding_SLog(x), y, decimal=7)
def test_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition. """ self.assertAlmostEqual(log_encoding_SLog(0.0), 0.088251291513446, places=7) self.assertAlmostEqual(log_encoding_SLog(0.18), 0.384970815928670, places=7) self.assertAlmostEqual(log_encoding_SLog(0.18, 12), 0.384688786026891, places=7) self.assertAlmostEqual(log_encoding_SLog(0.18, 10, False), 0.376512722254600, places=7) self.assertAlmostEqual(log_encoding_SLog(0.18, 10, False, False), 0.359987846422154, places=7) self.assertAlmostEqual(log_encoding_SLog(1.0), 0.638551684622532, places=7)
def test_log_encoding_SLog(self): """ Tests :func:`colour.models.rgb.transfer_functions.sony_slog.\ log_encoding_SLog` definition. """ self.assertAlmostEqual( log_encoding_SLog(0.0), 0.088251291513446, places=7) self.assertAlmostEqual( log_encoding_SLog(0.18), 0.384970815928670, places=7) self.assertAlmostEqual( log_encoding_SLog(0.18, 12), 0.384688786026891, places=7) self.assertAlmostEqual( log_encoding_SLog(0.18, 10, False), 0.376512722254600, places=7) self.assertAlmostEqual( log_encoding_SLog(0.18, 10, False, False), 0.359987846422154, places=7) self.assertAlmostEqual( log_encoding_SLog(1.0), 0.638551684622532, places=7)