[Numpy-discussion] ANN: NumPy 1.6.1 release candidate 2

[Mark Wiebe]

On Thu, Jul 7, 2011 at 9:56 AM, Bruce Southey <bsouthey at gmail.com> wrote:

> On Wed, Jul 6, 2011 at 1:56 PM, Christoph Gohlke <cgohlke at uci.edu> wrote:
> >
> >
> > On 7/6/2011 10:57 AM, Russell E. Owen wrote:
> >> In article
> >> <CABL7CQhNnjkzK9XNrLVDArSdKNwRM4eV0mXdUrJSaXq73EbwcQ at mail.gmail.com>,
> >>   Ralf Gommers<ralf.gommers at googlemail.com>  wrote:
> >>
> >>> On Tue, Jul 5, 2011 at 11:41 PM, Russell E. Owen<rowen at uw.edu>  wrote:
> >>>
> >>>> In article<BANLkTi=LXiTcrv1LgMtP=p9nF8eMr8=+hw at mail.gmail.com>,
> >>>>   Ralf Gommers<ralf.gommers at googlemail.com>  wrote:
> >>>>
> >>>>> https://sourceforge.net/projects/numpy/files/NumPy/1.6.1rc2/
> >>>>
> >>>> Will there be a Mac binary for 32-bit pythons (one that is compatible
> >>>> with older versions of MacOS X)? At present I only see a 64-bit
> >>>> 10.6-only version.
> >>>>
> >>>>
> >>>> Yes there will be for the final release (10.4-10.6 compatible). I
> can't
> >>> create those on my own computer, so sometimes I don't make them for
> RCs.
> >>
> >> I'm glad they will be present for the final release.
> >>
> >> FYI: I built my own 1.6.1rc2 against Python 2.7.2 (the 32-bit Mac
> >> version from python.org). I reproduced a memory error that I've been
> >> trying to narrow down. This is ticket 1896:
> >> <http://projects.scipy.org/numpy/ticket/1896>
> >> and the problem is also in 1.6.0.
> >>
> >> -- Russell
> >>
> >
> >
> > I can reproduce this error on Windows. It looks like a serious
> regression.
> >
> > Christoph
> > _______________________________________________
> > NumPy-Discussion mailing list
> > NumPy-Discussion at scipy.org
> > http://mail.scipy.org/mailman/listinfo/numpy-discussion
> >
> I do get this error in the code without tinker on the first loop.
>
> I did notice that the original array (dataArr) is float64 but the
> second array (scaledArr) is only float32. The problem is removed by
> changing the dtype of scaledArr to float64. Thus, it would appear some
> memory allocation related error to squeeze a float64 result into a
> memory allocated for a float32 array.
>

Can you try it on your platform with the pull request I've made which
hopefully fixes it?  Here's the link:

https://github.com/numpy/numpy/pull/103

Thanks,
Mark


> Bruce
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