From: francesco o. <fra...@gm...> - 2012-04-18 14:34:54
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Hi Werner Il giorno 18 aprile 2012 16:00, Werner F. Bruhin <wer...@fr...> ha scritto: > 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? > > Usually upgrading your software helps! :) > Werner > > > ------------------------------------------------------------------------------ > Better than sec? Nothing is better than sec when it comes to > monitoring Big Data applications. Try Boundary one-second > resolution app monitoring today. Free. > http://p.sf.net/sfu/Boundary-dev2dev > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Cordiali saluti, Dr.Oteri Francesco |