colour.RGB_colourspace_volume_coverage_MonteCarlo#
- colour.RGB_colourspace_volume_coverage_MonteCarlo(colourspace: RGB_Colourspace, coverage_sampler: Callable, samples: int = 1000000, random_generator: Callable = random_triplet_generator, random_state: np.random.RandomState | None = None) float [source]#
Return given RGB colourspace percentage coverage of an arbitrary volume.
- Parameters:
colourspace (RGB_Colourspace) – RGB colourspace to compute the volume coverage percentage.
coverage_sampler (Callable) – Python object responsible for checking the volume coverage.
samples (int) – Sample count.
random_generator (Callable) – Random triplet generator providing the random samples.
random_state (np.random.RandomState | None) – Mersenne Twister pseudo-random number generator to use in the random number generator.
- Returns:
Percentage coverage of volume.
- Return type:
Examples
>>> from colour.models import RGB_COLOURSPACE_sRGB as sRGB >>> prng = np.random.RandomState(2) >>> RGB_colourspace_volume_coverage_MonteCarlo( ... sRGB, is_within_pointer_gamut, 10e3, random_state=prng ... ) ... 81...