def test_read_LUT(self):
"""Test :func:`colour.io.luts.__init__.read_LUT` definition."""
LUT_1 = read_LUT(
os.path.join(LUTS_DIRECTORY, "sony_spi1d", "eotf_sRGB_1D.spi1d"))
np.testing.assert_almost_equal(
LUT_1.table,
np.array([
-7.73990000e-03,
5.16000000e-04,
1.22181000e-02,
3.96819000e-02,
8.71438000e-02,
1.57439400e-01,
2.52950100e-01,
3.75757900e-01,
5.27729400e-01,
7.10566500e-01,
9.25840600e-01,
1.17501630e00,
1.45946870e00,
1.78049680e00,
2.13933380e00,
2.53715520e00,
]),
)
self.assertEqual(LUT_1.name, "eotf sRGB 1D")
self.assertEqual(LUT_1.dimensions, 1)
np.testing.assert_array_equal(LUT_1.domain, np.array([-0.1, 1.5]))
self.assertEqual(LUT_1.size, 16)
self.assertListEqual(
LUT_1.comments,
['Generated by "Colour 0.3.11".', '"colour.models.eotf_sRGB".'],
)
LUT_2 = read_LUT(
os.path.join(LUTS_DIRECTORY, "resolve_cube", "LogC_Video.cube"))
np.testing.assert_almost_equal(
LUT_2[0].table,
np.array([
[0.00000000, 0.00000000, 0.00000000],
[0.02708500, 0.02708500, 0.02708500],
[0.06304900, 0.06304900, 0.06304900],
[0.11314900, 0.11314900, 0.11314900],
[0.18304900, 0.18304900, 0.18304900],
[0.28981100, 0.28981100, 0.28981100],
[0.41735300, 0.41735300, 0.41735300],
[0.54523100, 0.54523100, 0.54523100],
[0.67020500, 0.67020500, 0.67020500],
[0.78963000, 0.78963000, 0.78963000],
[0.88646800, 0.88646800, 0.88646800],
[0.94549100, 0.94549100, 0.94549100],
[0.97644900, 0.97644900, 0.97644900],
[0.98924800, 0.98924800, 0.98924800],
[0.99379700, 0.99379700, 0.99379700],
[1.00000000, 1.00000000, 1.00000000],
]),
)
self.assertEqual(LUT_2[1].size, 4)
def test_write_LUT(self):
"""Test :func:`colour.io.luts.__init__.write_LUT` definition."""
LUT_1_r = read_LUT(
os.path.join(LUTS_DIRECTORY, "sony_spi1d", "eotf_sRGB_1D.spi1d"))
write_LUT(
LUT_1_r,
os.path.join(self._temporary_directory, "eotf_sRGB_1D.spi1d"),
)
LUT_1_t = read_LUT(
os.path.join(self._temporary_directory, "eotf_sRGB_1D.spi1d"))
self.assertEqual(LUT_1_r, LUT_1_t)
write_LUT(
LUTSequence(LUT_1_r),
os.path.join(self._temporary_directory, "eotf_sRGB_1D.spi1d"),
)
self.assertEqual(LUT_1_r, LUT_1_t)
LUT_2_r = read_LUT(
os.path.join(
LUTS_DIRECTORY,
"resolve_cube",
"Three_Dimensional_Table_With_Shaper.cube",
))
write_LUT(
LUT_2_r,
os.path.join(
self._temporary_directory,
"Three_Dimensional_Table_With_Shaper.cube",
),
)
LUT_2_t = read_LUT(
os.path.join(
self._temporary_directory,
"Three_Dimensional_Table_With_Shaper.cube",
))
self.assertEqual(LUT_2_r, LUT_2_t)
[-0.0640000, 0.6720000, 0.4480000, -0.0560000],
[-0.0639375, 0.6180625, 0.5056875, -0.0598125],
[-0.0625000, 0.5625000, 0.5625000, -0.0625000],
[-0.0598125, 0.5056875, 0.6180625, -0.0639375],
[-0.0560000, 0.4480000, 0.6720000, -0.0640000],
[-0.0511875, 0.3898125, 0.7239375, -0.0625625],
[-0.0455000, 0.3315000, 0.7735000, -0.0595000],
[-0.0390625, 0.2734375, 0.8203125, -0.0546875],
[-0.0320000, 0.2160000, 0.8640000, -0.0480000],
[-0.0244375, 0.1595625, 0.9041875, -0.0393125],
[-0.0165000, 0.1045000, 0.9405000, -0.0285000],
[-0.0083125, 0.0511875, 0.9725625, -0.0154375],
])
LUT_TABLE = read_LUT(
os.path.join(
os.path.dirname(__file__), '..', '..', 'io', 'luts', 'tests',
'resources', 'iridas_cube', 'Colour_Correct.cube')).table
class TestKernelNearestNeighbour(unittest.TestCase):
"""
Defines :func:`colour.algebra.interpolation.kernel_nearest_neighbour`
definition units tests methods.
"""
def test_kernel_nearest(self):
"""
Tests :func:`colour.algebra.interpolation.kernel_nearest_neighbour`
definition.
"""
[-0.0640000, 0.6720000, 0.4480000, -0.0560000],
[-0.0639375, 0.6180625, 0.5056875, -0.0598125],
[-0.0625000, 0.5625000, 0.5625000, -0.0625000],
[-0.0598125, 0.5056875, 0.6180625, -0.0639375],
[-0.0560000, 0.4480000, 0.6720000, -0.0640000],
[-0.0511875, 0.3898125, 0.7239375, -0.0625625],
[-0.0455000, 0.3315000, 0.7735000, -0.0595000],
[-0.0390625, 0.2734375, 0.8203125, -0.0546875],
[-0.0320000, 0.2160000, 0.8640000, -0.0480000],
[-0.0244375, 0.1595625, 0.9041875, -0.0393125],
[-0.0165000, 0.1045000, 0.9405000, -0.0285000],
[-0.0083125, 0.0511875, 0.9725625, -0.0154375],
])
LUT_TABLE = read_LUT(
os.path.join(
os.path.dirname(__file__), '..', '..', 'io', 'luts', 'tests',
'resources', 'iridas_cube', 'ColourCorrect.cube')).table
class TestKernelNearestNeighbour(unittest.TestCase):
"""
Defines :func:`colour.algebra.interpolation.kernel_nearest_neighbour`
definition units tests methods.
"""
def test_kernel_nearest(self):
"""
Tests :func:`colour.algebra.interpolation.kernel_nearest_neighbour`
definition.
"""
[-0.0455000, 0.3315000, 0.7735000, -0.0595000],
[-0.0390625, 0.2734375, 0.8203125, -0.0546875],
[-0.0320000, 0.2160000, 0.8640000, -0.0480000],
[-0.0244375, 0.1595625, 0.9041875, -0.0393125],
[-0.0165000, 0.1045000, 0.9405000, -0.0285000],
[-0.0083125, 0.0511875, 0.9725625, -0.0154375],
]
)
LUT_TABLE: NDArray = read_LUT(
os.path.join(
os.path.dirname(__file__),
"..",
"..",
"io",
"luts",
"tests",
"resources",
"iridas_cube",
"Colour_Correct.cube",
)
).table # type: ignore[union-attr]
class TestKernelNearestNeighbour(unittest.TestCase):
"""
Define :func:`colour.algebra.interpolation.kernel_nearest_neighbour`
definition unit tests methods.
"""
def test_kernel_nearest(self):
