ValueError: high is out of bounds for int32

[tgbrooks]

There appears to be a compatibility issue with numpy on Windows. On line 352 of main.py, there is:

 self.seeds = list(np.random.randint(0, self.uint32max, size=int(N)))

Where self.uint32max == 4294967295 == 2**32 - 1. However, this is giving the error ValueError: high is out of bounds for int32 which indicates that numpy defaults to the wrong type. One solution is to reduce this to 2**31 - 1 (or 2**31 works since the upper bound is not inclusive for randint). Another solution is to specify the type:

 self.seeds = list(np.random.randint(0, self.uint32max, size=int(N), dtype=np.uint32)) #or np.int64

Lastly, as a somewhat side remark, numpy now recommends a different random number generator interface, such as through np.random.default_rng(). One difficulty is that currently noisyopt wants to set the seeds of the global numpy RNG, but any functions using the new RNG system will be unaffected. Instead, noisyopt would have to pass a Generator object to the optimization function for it to use.