Re: [Numpy-discussion] Numpy 1.11.0b2 released

2016-01-29 Thread Andreas Mueller
Is this the point when scikit-learn should build against it? Or do we wait for an RC? Also, we need a scipy build against it. Who does that? Our continuous integration doesn't usually build scipy or numpy, so it will be a bit tricky to add to our config. Would you run our master tests? [did we e

Re: [Numpy-discussion] Numpy 1.11.0b2 released

2016-01-29 Thread Julian Taylor
You most likely don't need a scipy build against it. You should be able to use the oldest scipy our project supports. Numpy does try to not break its reverse dependencies, if stuff breaks it should only occur in edge cases not affecting functionality of real applications (like warnings or overzealo

Re: [Numpy-discussion] Numpy 1.11.0b2 released

2016-01-29 Thread Nathaniel Smith
On Jan 29, 2016 9:46 AM, "Andreas Mueller" wrote: > > Is this the point when scikit-learn should build against it? Yes please! > Or do we wait for an RC? This is still all in flux, but I think we might actually want a rule that says it can't become an RC until after we've tested scikit-learn (a