On Thu, Jul 7, 2011 at 9:56 AM, Bruce Southey <[email protected]> wrote:
> On Wed, Jul 6, 2011 at 1:56 PM, Christoph Gohlke <[email protected]> wrote: > > > > > > On 7/6/2011 10:57 AM, Russell E. Owen wrote: > >> In article > >> <cabl7cqhnnjkzk9xnrlvdarsdknwrm4ev0mxdurjsaxq73eb...@mail.gmail.com>, > >> Ralf Gommers<[email protected]> wrote: > >> > >>> On Tue, Jul 5, 2011 at 11:41 PM, Russell E. Owen<[email protected]> wrote: > >>> > >>>> In article<[email protected]>, > >>>> Ralf Gommers<[email protected]> 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 > > [email protected] > > 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 > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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