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From: Benjamin R. <ben...@ou...> - 2012-04-18 16:52:45
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On Wed, Apr 18, 2012 at 10:00 AM, Werner F. Bruhin <wer...@fr...>wrote: > On 18/02/2010 22:41, Werner F. Bruhin wrote: > > Using numpy with "/arch nosse" solved the issue. > > > > Probably OT here, but does anyone know if numpy will in the future be > > able to dynamically switch on/off the SSEx support? > I am running again into crashes with matplotlib/numpy on Windows XP > running on AMD Athlon type machiens. > > I distribute the application with py2exe, so on my machine I install > numpy with "/arch nosse". > > This works on a test machine with my older program version which uses > Python 2.5, matplotlib 0.99 and numpy 1.0.4, now with my newer stuff I > use Python 2.6, still matplotlib 0.99 and numpy 1.3 (as there is no > 1.0.4 for Py 2.6), with this configuration my program crashes on the > Athlon CPU. > > Tried upgrading to 1.4.1 and 1.5.1 of numpy (still using /arch nosse) > but still see the same crash with an error code of "0xc000001d". > > Short term a 1.0.4 for Python 2.6 would be an o.k. work around, but I > really like to get a something better. Would an upgrade of matplotlib > help? > > Werner > > I think we have some confusion for version numbers. There was never a version 1.0.4 of mpl. There was a version 1.0.1, but not 1.0.4. Also, you mention numpy version 1.0.4, I certainly would hope you are referring to numpy 1.4.0. Could you please double-check your version numbers so we can get a better idea of what is happening? Thanks, Ben Root |