[Numpy-discussion] Win32 installer: please test it

[Damian Eads]

David Cournapeau wrote:
> Jarrod Millman wrote:
>> Hello,
>>
>> David Cournapeau has prepared a new win32 installer, which is aimed at
>> solving the recurring problem of non working atlas on different sets
>> of CPU. This installer simply checks which cpu you have, and installs
>> the appropriate numpy accordingly (without atlas if your cpu is not
>> supported). Windows users, please test the installer, and report
>> problems with it; we hope to use this scheme for all numpy and scipy
>> installers in the future.
> 
> Sorry for being insistent, but I would really like to get rid of those 
> windows/sse* problems once for all for numpy/scipy, and this means 
> having people to test the installer.
> 
> cheers,
> 
> David
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> Numpy-discussion mailing list
> Numpy-discussion at scipy.org
> http://projects.scipy.org/mailman/listinfo/numpy-discussion

Sorry for getting back to you so late. I was out of range of wireless 
networks for a day and a half. Shown below are my /proc/cpu-info and 
result of running numpy.test(). SSE and SSE2 are supported but SSE3 is not.

Nice work David!

Damian

-------------------------------------------
processor       : 0
vendor_id       : GenuineIntel
cpu family      : 6
model           : 13
model name      : Intel(R) Pentium(R) M processor 1.60GHz
stepping        : 6
cpu MHz         : 1600.000
cache size      : 2048 KB
fdiv_bug        : no
hlt_bug         : no
f00f_bug        : no
coma_bug        : no
fpu             : yes
fpu_exception   : yes
cpuid level     : 2
wp              : yes
flags           : fpu vme de pse tsc msr mce cx8 mtrr pge mca cmov pat 
clflush dts acpi mmx fxsr sse sse2 ss tm pbe up bts est tm2
bogomips        : 3198.55
clflush size    : 64


Numpy version 1.0.4
Python version 2.5.1 (r251:54863, Apr 18 2007, 08:51:08) [MSC v.1310 32 
bit (Int
el)]
   Found 10/10 tests for numpy.core.defmatrix
   Found 36/36 tests for numpy.core.ma
   Found 223/223 tests for numpy.core.multiarray
   Found 65/65 tests for numpy.core.numeric
   Found 31/31 tests for numpy.core.numerictypes
   Found 12/12 tests for numpy.core.records
   Found 6/6 tests for numpy.core.scalarmath
   Found 14/14 tests for numpy.core.umath
   Found 4/4 tests for numpy.ctypeslib
   Found 5/5 tests for numpy.distutils.misc_util
   Found 1/1 tests for numpy.fft.fftpack
   Found 3/3 tests for numpy.fft.helper
   Found 9/9 tests for numpy.lib.arraysetops
   Found 46/46 tests for numpy.lib.function_base
   Found 5/5 tests for numpy.lib.getlimits
   Found 4/4 tests for numpy.lib.index_tricks
   Found 3/3 tests for numpy.lib.polynomial
   Found 49/49 tests for numpy.lib.shape_base
   Found 15/15 tests for numpy.lib.twodim_base
   Found 43/43 tests for numpy.lib.type_check
   Found 1/1 tests for numpy.lib.ufunclike
   Found 40/40 tests for numpy.linalg
   Found 2/2 tests for numpy.random
   Found 0/0 tests for __main__
................................................................................
................................................................................
................................................................................
................................................................................
....................................................................Warning: 
inv
alid value encountered in absolute
Warning: invalid value encountered in absolute
Warning: invalid value encountered in less_equal
................................................................................
................................................................................
................................................................................
..........................................................
----------------------------------------------------------------------
Ran 686 tests in 1.250s

OK
<unittest._TextTestResult run=686 errors=0 failures=0>
------------------------