[Numpy-discussion] Win32 installer: please test it

Peter Creasey p.e.creasey.00@googlemail....
Tue Apr 15 08:35:04 CDT 2008


Yes, I am one of those users with crashes in numpy 1.4. Your build
seems to pass for me. For reference my machine is Windows XP, Intel
Xeon 5140

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Numpy is installed in C:\Python25\lib\site-packages\numpy
Numpy version 1.0.5.dev5008
Python version 2.5.2 (r252:60911, Feb 21 2008, 13:11:45) [MSC v.1310 32 bit (Int
el)]
  Found 10/10 tests for numpy.core.defmatrix
  Found 3/3 tests for numpy.core.memmap
  Found 266/266 tests for numpy.core.multiarray
  Found 69/69 tests for numpy.core.numeric
  Found 31/31 tests for numpy.core.numerictypes
  Found 12/12 tests for numpy.core.records
  Found 7/7 tests for numpy.core.scalarmath
  Found 16/16 tests for numpy.core.umath
  Found 5/5 tests for numpy.ctypeslib
  Found 5/5 tests for numpy.distutils.misc_util
  Found 2/2 tests for numpy.fft.fftpack
  Found 3/3 tests for numpy.fft.helper
  Found 20/20 tests for numpy.lib._datasource
  Found 10/10 tests for numpy.lib.arraysetops
  Found 1/1 tests for numpy.lib.financial
  Found 0/0 tests for numpy.lib.format
  Found 48/48 tests for numpy.lib.function_base
  Found 5/5 tests for numpy.lib.getlimits
  Found 4/4 tests for numpy.lib.index_tricks
  Found 7/7 tests for numpy.lib.io
  Found 4/4 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 59/59 tests for numpy.linalg
  Found 92/92 tests for numpy.ma.core
  Found 14/14 tests for numpy.ma.extras
  Found 7/7 tests for numpy.random
  Found 0/0 tests for numpy.testing.utils
  Found 0/0 tests for __main__
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Ran 887 tests in 0.890s

OK


On 14/04/2008, Bill Baxter wrote:
>  Seems to work here now, too!
>
>  It doesn't tell you in an easy to see place what version of SSE it
>  decides to use.  Do you think that's ok?  (You can tell by looking at
>  the "details" at then end of installation, though.
>
>  Is there some way to tell this info from inside NumPy itself?  If so
>  then maybe it doesn't matter.
>


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