Proposed new feature or change:
Objective: Sample elements from the given iterator (a list, a numpy array,
etc.) based upon pre-defined probabilities associated with each element which
may not sums upto 1.
Overview
* In the numpy.random.choice function the cases where we're explicitly
providing
As discussed on the corresponding Github issue[1], this is not going to be
functionality that we add onto `choice()` nor is it likely something that
we will add as a separate `Generator` method. The desired computation is
straightforward to do by composing existing functionality.
[1] https://githu
Every new feature, method, function or keyword argument adds cognitive
load, maintainer burden, makes the package larger, and can confuse users
so we reject much more than we accept.
The first step would be to present a convincing case _why_ Poisson
sampling should be added to NumPy, before di
