Random Graph¶

The random graph provides a way to link the random number generators of multiple objects in order to set global seeds for reproducibility.

class RandomNode(mother_node=None, seed=None)[source]¶

Random Node within a random dependency graph.

Parameters:

mother_node (RandomNode, optional) – Mother node of this random node. By default, nodes are considered to be roots.
seed (int, optional) – Random seed used to initialize the pseudo-random number generator.

class RandomRealization(random_node)[source]¶

Realization of a random node.

Parameters:: random_node (RandomNode) – Random node from which to generate a realization.

generator()[source]¶

Initialize a new generator from the realized random seed.

Returns: A new numpy generator object.

property seed: int¶

Seed of the random realization.

Returns: A signed integer representing the random seed.