rex wrote:
> Robert Kern <[EMAIL PROTECTED]> [2007-01-23 22:18]:
>> You need to install the development package for Python. Usually it's named
>> something like python2.5-devel.
>
> Thank you. Did that, and NumPy compiled with a Brazillion warnings, but
> no errors.
>
> Then I did:
> export
> LD_
Robert Kern <[EMAIL PROTECTED]> [2007-01-23 22:18]:
> You need to install the development package for Python. Usually it's named
> something like python2.5-devel.
Thank you. Did that, and NumPy compiled with a Brazillion warnings, but
no errors.
Then I did:
export LD_RUN_PATH=/opt/lib:/opt/intel
rex wrote:
> distutils.errors.DistutilsPlatformError: invalid Python installation: unable
> to open /usr/lib/python2.5/config/Makefile (No such file or directory)
>
> There is no config directory in /usr/lib/python2.5/
You need to install the development package for Python. Usually it's named
s
I'm trying to build NumPy on an SUSE 10.2 Core 2 Duo system using the
Intel compiler and Math Kernel Library, and Python 2.5
I want to see how much faster it is than the SUSE NumPy 1.0.1 rpm that
recently became available (huge thanks to whomever it was that created
it. Installing NumPy and SciPy
Vincent Nijs wrote:
> ==
> FAIL: check_large_types (numpy.core.tests.test_scalarmath.test_power)
> --
> Traceback (most recent call last):
> File
> "/Library/Fr
Mac OS X 10.4.8
G5 PPC
Numpy svn: 2602
Target: powerpc-apple-darwin8
Configured with: /private/var/tmp/gcc/gcc-5367.obj~1/src/configure
--disable-checking -enable-werror --prefix=/usr --mandir=/share/man
--enable-languages=c,objc,c++,obj-c++
--program-transform-name=/^[cg][^.-]*$/s/$/-4.0/
--with
I have been attempting to build recent versions of numpy and scipy in
Cygwin on Windows XP for use in Cygwin, but I haven't succeeded with any
version of numpy that I've tried newer than 0.9.8. It seems to be
failing in building numarray. Here is the numarray portion of the
output:
creating buil
Oops, the attachments! (always the same history)
El dt 23 de 01 del 2007 a les 20:33 +0100, en/na Francesc Altet va
escriure:
> El 2007-01-22 23:59:03 GMT, en/na Pierre GM va escriure:
> > Other example: what's more efficient ?
> > myvar = numpy.empty(shape,dtype)
> > or
> > myvar = PyArray_EMPTY
El 2007-01-22 23:59:03 GMT, en/na Pierre GM va escriure:
> Other example: what's more efficient ?
> myvar = numpy.empty(shape,dtype)
> or
> myvar = PyArray_EMPTY(dims, NPY_TYPE)
Ok. The second one indeed, but possibly less than you realize (just a
25%, see some benchmarks below). The main point i
Robert Cimrman wrote:
> Robert Kern wrote:
>> Jan Strube wrote:
>>> I would also like to see a method that doesn't have the unique members
>>> requirement.
>>> If setmember1d cannot be modified to do that, is there another method
>>> that doesn't have these restrictions. Or could one be added?
>> I
Robert Kern wrote:
> Jan Strube wrote:
>> I would also like to see a method that doesn't have the unique members
>> requirement.
>> If setmember1d cannot be modified to do that, is there another method
>> that doesn't have these restrictions. Or could one be added?
>
> If you can write one that's
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