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

[Charles R Harris]

On Tue, Sep 3, 2013 at 5:45 PM, Charles R Harris
<charlesr.harris at gmail.com>wrote:

>
>
>
> 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.
>
>
BTW, do the tests pass with a 32 build?

Chuck
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