On Thu, Nov 6, 2008 at 14:05, Barry Wark email@example.com wrote:
I'm just about to embark on a long-term research project and was planning to use numpy.random to generate stimuli for our experiments. We plan to store only the parameters and RandomState seed for each stimulus and I'm concerned about stability of the API in the long term: will the parameters and random seed we store now work with future versions of numpy.random?
It should. But just in case, make sure you explicitly instantiate RandomState objects instead of using the functions in numpy.random. That way, should we need to fix some bug that might change the results, you can always pull out the current mtrand code and use it independently.
I think I recall that there was a change in the random seed format some time around numpy 1.0.
I don't think I changed it after 1.0. Before 1.0, we explicitly warned people about API instability.