[Numpy-discussion] ANN: NumPy 1.7.0b1 release

[Ralf Gommers]

On Tue, Aug 21, 2012 at 9:59 PM, Christoph Gohlke <cgohlke at uci.edu> wrote:

> On 8/21/2012 9:24 AM, Ondřej Čertík wrote:
> > Hi,
> >
> > I'm pleased to announce the availability of the first beta release of
> > NumPy 1.7.0b1.
> >
> > Sources and binary installers can be found at
> > https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/
> >
> > Please test this release and report any issues on the numpy-discussion
> > mailing list. The following problems are known and
> > we'll work on fixing them before the final release:
> >
> > http://projects.scipy.org/numpy/ticket/2187
> > http://projects.scipy.org/numpy/ticket/2185
> > http://projects.scipy.org/numpy/ticket/2066
> > http://projects.scipy.org/numpy/ticket/1588
> > http://projects.scipy.org/numpy/ticket/2076
> > http://projects.scipy.org/numpy/ticket/2101
> > http://projects.scipy.org/numpy/ticket/2108
> > http://projects.scipy.org/numpy/ticket/2150
> > http://projects.scipy.org/numpy/ticket/2189
> >
> > I would like to thank Ralf for a lot of help with creating binaries
> > and other help for this release.
> >
> > Cheers,
> > Ondrej
> >
> >
>
> Hi Ondrej,
>
> will numpy 1.7.0 final support Python 3.3? The recent patch in the
> master branch seems to work well.
>
> I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
> maintenance/1.7.x branch against a number of package binaries from
> <http://www.lfd.uci.edu/~gohlke/pythonlibs/>.
>
> The test results are at
> <
> http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/
> >.
> For comparison, the tests against numpy-MKL-1.6.2 are at
> <http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7/
> >.
> ...
>
> There are additional test failures in scipy, statsmodels, bottleneck,
> skimage, vigra, and mahotas. I did not check in detail or with existing
> tickets (http://projects.scipy.org/ is timing out or responding with
> HTTP 500 status).
>

None of the scipy ones are serious or due to changes in numpy as far as I
can tell. The one thing to do in numpy is silence this warning:
    DeprecationWarning: The compiler package is deprecated and removed in
Python 3.x.

Thanks for all those tests Christoph, extremely useful!

Ralf
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