[SciPy-user] Memory problems with stats.mannwhitneyu
Steve Schmerler
elcorto at gmx.net
Fri Jul 27 08:39:43 EDT 2007
Carlos Scheidegger wrote:
>> Can you give us similarly-detailed information about the platform you are
>> running on? If you used binary builds, also please let us know where you got
>> them from, too. We have had problems in the past with numpy not freeing memory
>> for array scalars, but I think that was before the 1.0 release.
>
> For whatever it's worth, I see the same issue here, running a plain Ubuntu
> Feisty install on AMD64.
>
> $ python
> Python 2.5.1 (r251:54863, May 2 2007, 16:27:44)
> [GCC 4.1.2 (Ubuntu 4.1.2-0ubuntu4)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>>>> import scipy
>>>> scipy.__version__
> '0.5.2'
>>>> import numpy
>>>> numpy.__version__
> '1.0.1'
>
> $ cat /proc/cpuinfo
> processor : 0
> vendor_id : AuthenticAMD
> cpu family : 15
> model : 33
> model name : Dual Core AMD Opteron(tm) Processor 275
> stepping : 2
> cpu MHz : 2210.186
> cache size : 1024 KB
> physical id : 0
> siblings : 2
> core id : 0
> cpu cores : 2
> fpu : yes
> fpu_exception : yes
> cpuid level : 1
> wp : yes
> flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca
> cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt lm
> 3dnowext 3dnow pni lahf_lm cmp_legacy
> bogomips : 4423.08
> TLB size : 1024 4K pages
> clflush size : 64
> cache_alignment : 64
> address sizes : 40 bits physical, 48 bits virtual
> power management: ts fid vid ttp
>
same here:
Debian etch, python 2.4.4, numpy 1.0.1-8, scipy 0.5.2-0.1 from Debian's
repos
processor : 0
vendor_id : AuthenticAMD
cpu family : 15
model : 31
model name : AMD Athlon(tm) 64 Processor 3000+
stepping : 0
cpu MHz : 1808.928
cache size : 512 KB
fdiv_bug : no
hlt_bug : no
f00f_bug : no
coma_bug : no
fpu : yes
fpu_exception : yes
cpuid level : 1
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge
mca cmov pat pse36 clflush mmx fxsr sse sse2 syscall nx mmxext fxsr_opt
lm 3dnowext 3dnow up lahf_lm ts fid vid ttp
bogomips : 3621.70
--
cheers,
steve
Random number generation is the art of producing pure gibberish as
quickly as possible.
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