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

On Wed, Jul 6, 2011 at 1:56 PM, Christoph Gohlke <cgohlke@uci.edu> wrote:
>
>
> On 7/6/2011 10:57 AM, Russell E. Owen wrote:
>> In article
>> <CABL7CQhNnjkzK9XNrLVDArSdKNwRM4eV0mXdUrJSaXq73EbwcQ@mail.gmail.com>,
>>   Ralf Gommers<ralf.gommers@googlemail.com>  wrote:
>>
>>> On Tue, Jul 5, 2011 at 11:41 PM, Russell E. Owen<rowen@uw.edu>  wrote:
>>>
>>>> In article<BANLkTi=LXiTcrv1LgMtP=p9nF8eMr8=+hw@mail.gmail.com>,
>>>>   Ralf Gommers<ralf.gommers@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
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>

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