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)