Add option to utilize numpy.random.Generator object in sample_edges

[PerifanosPrometheus]

Issue:

Sample_edges utilizes numpy.random.RandomState, would be nice to be able to utilize a numpy.random.Generator object as well.

Solution:

Add option input to sample_edges that accepts a numpy.random.Generator object. If this input is provided then sample_edges should use the numpy.random.Generator object to sample from bernoulli.

References

numpy.random.Generator is the newly adopted pseudo-random number generator utilized and maintained by numpy. Check out here in the numpy doc the compatibility guarantee for numpy.random.RandomState which is what is currently being used.

[PerifanosPrometheus]

@bdpedigo I opened the new issue to add this feature.

Please let me know if it is still something desirable.

[bdpedigo]

issue looks good, are you planning on adding this to sample_edges somehow?

[PerifanosPrometheus]

Yes, my plan is to add as input the random.number.Generator to the sample_edges. If this input isn't given that function work as it is , if the input is given than use the provided object.