We use the following code to visualize the 1000 random numbers generated by numpy. Finally, this frequency distribution histogram was obtained. It can be seen that the random numbers obtained through ...

Generating random numbers is a common task in many applications, such as simulations, cryptography, games, and data analysis. NumPy is a popular library for scientific computing and data manipulation ...

Sample_edges utilizes numpy.random.RandomState, would be nice to be able to utilize a numpy.random.Generator object as well. Add option input to sample_edges that accepts a numpy.random.Generator ...