colour.algebra.random_triplet_generator¶
- colour.algebra.random_triplet_generator(size: int, limits: ArrayLike = np.array([[0, 1], [0, 1], [0, 1]]), random_state: numpy.random.mtrand.RandomState = RANDOM_STATE) numpy.ndarray[source]¶
Return a generator yielding random triplets.
- Parameters
size (int) – Generator size.
limits (ArrayLike) – Random values limits on each triplet axis.
random_state (numpy.random.mtrand.RandomState) – Mersenne Twister pseudo-random number generator.
- Returns
Random triplet generator.
- Return type
Notes
The test is assuming that
np.random.RandomState()definition will return the same sequence no matter which OS or Python version is used. There is however no formal promise about the prng sequence reproducibility of either Python or Numpy implementations, see [Laurent12].
Examples
>>> from pprint import pprint >>> prng = np.random.RandomState(4) >>> random_triplet_generator(10, random_state=prng) ... array([[ 0.9670298..., 0.7793829..., 0.4361466...], [ 0.5472322..., 0.1976850..., 0.9489773...], [ 0.9726843..., 0.8629932..., 0.7863059...], [ 0.7148159..., 0.9834006..., 0.8662893...], [ 0.6977288..., 0.1638422..., 0.1731654...], [ 0.2160895..., 0.5973339..., 0.0749485...], [ 0.9762744..., 0.0089861..., 0.6007427...], [ 0.0062302..., 0.3865712..., 0.1679721...], [ 0.2529823..., 0.0441600..., 0.7333801...], [ 0.4347915..., 0.9566529..., 0.4084438...]])