[Numpy-discussion] ANN: Numpy 1.8.0 beta 1 release

[Christoph Gohlke]

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>

Christoph