def test_n_dimensional_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition n-dimensional arrays support. """ V = 0.391006832034084 L = 0.18 np.testing.assert_almost_equal( log_decoding_ALEXALogC(V), L, decimal=7) V = np.tile(V, 6) L = np.tile(L, 6) np.testing.assert_almost_equal( log_decoding_ALEXALogC(V), L, decimal=7) V = np.reshape(V, (2, 3)) L = np.reshape(L, (2, 3)) np.testing.assert_almost_equal( log_decoding_ALEXALogC(V), L, decimal=7) V = np.reshape(V, (2, 3, 1)) L = np.reshape(L, (2, 3, 1)) np.testing.assert_almost_equal( log_decoding_ALEXALogC(V), L, decimal=7)
def test_n_dimensional_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition n-dimensional arrays support. """ V = 0.391006832034084 L = 0.18 np.testing.assert_almost_equal( log_decoding_ALEXALogC(V), L, decimal=7) V = np.tile(V, 6) L = np.tile(L, 6) np.testing.assert_almost_equal( log_decoding_ALEXALogC(V), L, decimal=7) V = np.reshape(V, (2, 3)) L = np.reshape(L, (2, 3)) np.testing.assert_almost_equal( log_decoding_ALEXALogC(V), L, decimal=7) V = np.reshape(V, (2, 3, 1)) L = np.reshape(L, (2, 3, 1)) np.testing.assert_almost_equal( log_decoding_ALEXALogC(V), L, decimal=7)
def test_nan_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition nan support. """ log_decoding_ALEXALogC( np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_nan_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition nan support. """ log_decoding_ALEXALogC( np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
def test_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition. """ self.assertAlmostEqual(log_decoding_ALEXALogC(0.092809), 0.0, places=7) self.assertAlmostEqual( log_decoding_ALEXALogC(0.391006832034084), 0.18, places=7) self.assertAlmostEqual( log_decoding_ALEXALogC(0.570631558120417), 1.0, places=7)
def test_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition. """ self.assertAlmostEqual(log_decoding_ALEXALogC(0.092809), 0.0, places=7) self.assertAlmostEqual( log_decoding_ALEXALogC(0.391006832034084), 0.18, places=7) self.assertAlmostEqual( log_decoding_ALEXALogC(0.570631558120417), 1.0, places=7)
def test_domain_range_scale_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.arri_alexa_log_c.\ log_decoding_ALEXALogC` definition domain and range scale support. """ t = 0.391006832034084 x = log_decoding_ALEXALogC(t) 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_decoding_ALEXALogC(t * factor), x * factor, decimal=7)
def test_domain_range_scale_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition domain and range scale support. """ t = 0.391006832034084 x = log_decoding_ALEXALogC(t) 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_decoding_ALEXALogC(t * factor), x * factor, decimal=7)
def test_n_dimensional_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition n-dimensional arrays support. """ t = 0.391006832034084 x = log_decoding_ALEXALogC(t) t = np.tile(t, 6) x = np.tile(x, 6) np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7) t = np.reshape(t, (2, 3)) x = np.reshape(x, (2, 3)) np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7) t = np.reshape(t, (2, 3, 1)) x = np.reshape(x, (2, 3, 1)) np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7)
def test_n_dimensional_log_decoding_ALEXALogC(self): """ Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\ log_decoding_ALEXALogC` definition n-dimensional arrays support. """ t = 0.391006832034084 x = log_decoding_ALEXALogC(t) t = np.tile(t, 6) x = np.tile(x, 6) np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7) t = np.reshape(t, (2, 3)) x = np.reshape(x, (2, 3)) np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7) t = np.reshape(t, (2, 3, 1)) x = np.reshape(x, (2, 3, 1)) np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7)