deeptrack.sources.rng Module

This utility package extends the random number generator objects for both Python and Numpy by adding functions to generate several instances as well as dependency tracking with DeepTrackNode objects.

Classes

DeepTrackNode([action])	Object corresponding to a node in a computation graph.
NumpyRNG(n_states[, seed])	Class that generates multiple numpy random number generators.
PythonRNG(n_states[, seed])	Class that generates multiple random.Random number generators.
Source(**kwargs)	A class that represents one or more sources of data.