On Fri, Feb 5, 2016 at 3:24 PM, <josef.p...@gmail.com> wrote: > > > On Fri, Feb 5, 2016 at 1:14 PM, Pauli Virtanen <p...@iki.fi> wrote: > >> 05.02.2016, 19:55, Nathaniel Smith kirjoitti: >> > On Feb 5, 2016 8:28 AM, "Chris Barker - NOAA Federal" < >> chris.bar...@noaa.gov> >> > wrote: >> >> >> >>> An extra ~2 hours of tests / 6-way parallelism is not that big a deal >> >>> in the grand scheme of things (and I guess it's probably less than >> >>> that if we can take advantage of existing binary builds) >> >> >> >> If we set up a numpy-testing conda channel, it could be used to cache >> >> binary builds for all he versions of everything we want to test >> >> against. >> >> >> >> Conda-build-all could make it manageable to maintain that channel. >> > >> > What would be the advantage of maintaining that channel ourselves >> instead >> > of using someone else's binary builds that already exist (e.g. >> Anaconda's, >> > or official project wheels)? >> >> ABI compatibility. However, as I understand it, not many backward ABI >> incompatible changes in Numpy are not expected in future. >> >> If they were, I note that if you work in the same environment, you can >> push repeated compilation times to zero compared to the time it takes to >> run tests in a way that requires less configuration, by enabling >> ccache/f90cache. >> > > > control of fortran compiler and libraries > > I was just looking at some new test errors on TravisCI in unchanged code > of statsmodels, and it looks like conda switched from openblas to mkl > yesterday. > > (statsmodels doesn't care when compiling which BLAS/LAPACK is used as long > as they work because we don't have Fortran code.) > > Josef > > (sending again, delivery refused)
> > >> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> > >
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