On https://bitbucket.org/carlkl/mingw-w64-for-python/downloads you can now downlad python-3.5 scipy wheels as well. These 3.5 binaries are linked against the good old msvcrt, as this seems to work for scipy. At least for running the tests. And don't forget: you need to install the numpy atlas wheels builds from PYPI (thanks Matthew)
the 32 bit binaries have more or less the same problems as with 3.4 and 2.7 - mainly with Arpack: FAILED (KNOWNFAIL=98, SKIP=1657, errors=172, failures=27) the 64bit binaries shows 6 failures with test_continuous_basic FAILED (KNOWNFAIL=98, SKIP=1657, failures=6) Have fun Carl 2016-03-21 20:57 GMT+01:00 Carl Kleffner <[email protected]>: > > > 2016-03-21 17:43 GMT+01:00 Matthew Brett <[email protected]>: > >> On Mon, Mar 21, 2016 at 1:44 AM, Carl Kleffner <[email protected]> >> wrote: >> > Hi Stéfan, >> > >> > I carried out a temporary upload of 4 scipy-0.17.0 windows wheels on >> > https://bitbucket.org/carlkl/mingw-w64-for-python/downloads. These >> scipy >> > wheels are build against and need the numpy wheels available on PYPI. >> > Python-3.5 wheels are not available yet however. The reason is >> explained in >> > the-vs-14-2015-runtime >> > >> > Please be aware, that the 32 bit versions of scipy still emits a lot of >> > errors (mostly Arpack). See >> > https://gist.github.com/carlkl/9e9aa45f49fedb1a1ef7 >> >> Carl - do you think it would make sense to build a scipy for 3.5 >> linking against the msvcrt runtime? >> > > I tried excatly this recently, but stumbled over npymath.lib (MSVC) during > the build process. > Seems that the VS 2015 static lib format cannot be used by binutils. I > will try it again > with npymath.a (mingwpy build). > > Thanks for doing the builds, >> >> Matthew >> > >
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