colour.RGB_colourspace_volume_coverage_MonteCarlo¶
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colour.
RGB_colourspace_volume_coverage_MonteCarlo
(colourspace, coverage_sampler, samples=10000000.0, random_generator=<function random_triplet_generator>, random_state=None)[source]¶ Returns given RGB colourspace percentage coverage of an arbitrary volume.
Parameters: - colourspace (RGB_Colourspace) – RGB colourspace to compute the volume coverage percentage.
- coverage_sampler (object) – Python object responsible for checking the volume coverage.
- samples (numeric, optional) – Samples count.
- random_generator (generator, optional) – Random triplet generator providing the random samples.
- random_state (RandomState, optional) – 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 sRGB_COLOURSPACE as sRGB >>> prng = np.random.RandomState(2) >>> RGB_colourspace_volume_coverage_MonteCarlo( ... sRGB, is_within_pointer_gamut, 10e3, random_state=prng) ... # doctest: +ELLIPSIS 81...