On Sun, May 24, 2015 at 2:41 PM, Alan G Isaac <alan.isaac@gmail.com> wrote:

I echo Ralf's question.
For those who need replicability, the proposed upgrade path seems quite radical.

It's not radical, and my question was already answered. Nothing changes if you are doing:

np.random.seed(1234)

np.random.any_random_sample_generator_func()

Values only change if you leave out the call to seed(), which you should never do if you care about replicability.

Ralf

Also, I would prefer to have the new functionality introduced beside the existing
implementation of RandomState, with an announcement that RandomState
will change in the next major numpy version number. This will allow everyone
who wants to to change now, without requiring that users attend to minor
numpy version numbers if they want replicability.

I think this is what is required by semantic versioning.

Alan Isaac

On 5/24/2015 4:59 AM, Ralf Gommers wrote:
> the reasoning on this point is shaky. np.random.seed() is *very* widely used, and works fine for a test suite where each test that needs random
> numbers calls seed(...) and is run with nose. Can you explain why you need to touch the behavior of the global methods in order to make
> RandomState(version=) work?

_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion