On 9/14/2015 3:47 AM, Julian Taylor wrote:
as due to the many incompatiblities in 1.10 many will likely not be able to update anytime soon, so I think putting out another 1.9.3 bugfix release would be a good idea. I can probably do the release management for it, though I haven't been keeping up with bugfixes recently so, please comment on important issues you would want fixed. The np.where upcast regression and np.nanmedian issues come to my mind as should be fixed.
On 09/14/2015 11:21 AM, Carl Kleffner wrote:
I would like to add patches for the mingwpy windows build as well. There is no Python-3.5 build so far.
2015-09-14 10:46 GMT+02:00 Robert Kern <email@example.com mailto:firstname.lastname@example.org>:
On Mon, Sep 14, 2015 at 9:32 AM, Matthew Brett <email@example.com <mailto:firstname.lastname@example.org>> wrote: > > Hi, > > On Mon, Sep 14, 2015 at 1:22 AM, David Cournapeau <email@example.com <mailto:firstname.lastname@example.org>> wrote: > > > > > > On Mon, Sep 14, 2015 at 9:18 AM, Matthew Brett <email@example.com <mailto:firstname.lastname@example.org>> > > wrote: > >> > >> Hi, > >> > >> I'm just building numpy 1.9.2 for Python 3.5 (just released). > >> > >> In order to get the tests to pass on Python 3.5, I need to cherry pick > >> commit 7d6aa8c onto the 1.9.2 tag position. > >> > >> Does anyone object to me uploading a wheel built from this patched > >> version to pypi as 1.9.2 for Python 3.5 on OSX? It would help to get > >> the ball rolling for Python 3.5 binary wheels. > > > > > > Why not releasing this as 1.9.3 ? It does not need to be a full release > > (with binaries and all), but having multiple sources for a given tag is > > confusing. > > Generally OK with me, but it's quite a bit of extra work for very > little gain. We'd have to tag, release a source tarball and OSX > wheels, at least. I think it's highly desirable that we also have a *source* release that builds on Python 3.5, irrespective of whether or not we have binary wheels for a couple of platforms up for Python 3.5. So I would encourage a quick 1.9.3 release that incorporates this patch. -- Robert Kern
Support for Visual Studio 2015 and Intel Fortran 16 for Python 3.5 on Windows would also be nice.
I am using:
DEV: Replace deprecated options for ifort https://github.com/numpy/numpy/pull/5555
remove /GL for vs2015 in check_long_double_representation https://github.com/numpy/numpy/pull/6096
Enable Visual Studio 2015 C99 features https://github.com/numpy/numpy/pull/6141
BLD: revert C99 complex for msvc14 https://github.com/numpy/numpy/pull/6171