[Numpy-discussion] ANN: Numpy 1.8.0 beta 1 release
Charles R Harris
charlesr.harris at gmail.com
Tue Sep 3 19:45:38 EDT 2013
On Tue, Sep 3, 2013 at 5:40 PM, Christoph Gohlke <cgohlke at uci.edu> wrote:
> On 9/3/2013 2:51 PM, Charles R Harris wrote:
> >
> >
> >
> > On Tue, Sep 3, 2013 at 3:23 PM, Christoph Gohlke <cgohlke at uci.edu
> > <mailto:cgohlke at uci.edu>> wrote:
> >
> > On 9/1/2013 9:54 AM, Charles R Harris wrote:
> >
> > Hi all,
> >
> > I'm happy to announce the first beta release of Numpy 1.8.0.
> > Please try
> > this beta and report any issues on the numpy-dev mailing list.
> >
> > Source tarballs and release notes can be found at
> > https://sourceforge.net/__projects/numpy/files/NumPy/1.__8.0b1/
> > <https://sourceforge.net/projects/numpy/files/NumPy/1.8.0b1/>.
> > The Windows
> > and OS X installers will follow when the infrastructure issues
> > are dealt
> > with.
> >
> > Chuck
> >
> >
> > Hello,
> >
> > I tried numpy-1.8.0.dev-86a6e6c with msvc9 and MKL 11.1 on
> > win-amd64-py2.7. It builds OK but there are 23 test errors and 6
> > failures (attached).
> >
> > Some 3rd party packages (e.g. scipy, numexpr, pytables, bottleneck,
> > pandas and matplotlib) that were built against numpy-MKL 1.7 fail
> > tests when used with numpy-MKL 1.8. Other packages test OK (e.g.
> > skimage, sklearn, statsmodels, mahotas, pygame). See
> > <
> http://www.lfd.uci.edu/~__gohlke/pythonlibs/tests/__20130902-win-amd64-py2.7-__numpy-1.8.0.dev-86a6e6c/
> > <
> http://www.lfd.uci.edu/%7Egohlke/pythonlibs/tests/20130902-win-amd64-py2.7-numpy-1.8.0.dev-86a6e6c/
> >>
> > compared to
> > <
> http://www.lfd.uci.edu/~__gohlke/pythonlibs/tests/__20130902-win-amd64-py2.7/
> > <
> http://www.lfd.uci.edu/%7Egohlke/pythonlibs/tests/20130902-win-amd64-py2.7/
> >>.
> >
> >
> > I have not looked in more detail or at other Python versions yet.
> >
> >
> > Thanks Christoph,
> >
> > Looks like some work to do. I wonder what is different between windows
> > and linux here?
> >
> > Chuck
> >
>
> Looks like the fundamental PyArray_PyIntAsIntp function is broken on 64
> bit Windows. 64 bit PyLong values are intermediately stored in a 32 bit
> C long variable. But maybe I am missing something...
> <
> https://github.com/numpy/numpy/blob/maintenance/1.8.x/numpy/core/src/multiarray/conversion_utils.c#L729
> >
> <
> https://github.com/numpy/numpy/blob/maintenance/1.8.x/numpy/core/src/multiarray/conversion_utils.c#L767
> >
>
> My, that does look suspicious. That function is new in 1.8 I believe.
Looks like it needs fixing whatever else it fixes.
Chuck
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