umath import error for Numpy builds on OSX 10.6

[hardcoreUFO]

On Dec 11, 12:29 pm, Robert Kern <robert.k... at gmail.com> wrote:
> On 2009-12-10 17:09 PM, hardcoreUFO wrote:
>
> > For the past several weeks, I have been unable to build numpy from
> > source, at least nothing that works. The issue is that symbols appear
> > to be missing from umath. When numpy is imported, I get the following:
>
> You will want to ask numpy questions on the numpy mailing list:
>
>    http://www.scipy.org/Mailing_Lists
>
>
>
>
>
> > In [1]: import numpy
> > ------------------------------------------------------------
> > Traceback (most recent call last):
> >    File "/Library/Python/2.6/site-packages/numpy-1.5.0.dev_20091211-
> > py2.6-macosx-10.6-universal.egg/numpy/core/__init__.py", line 6, in
> > <module>
> >      import umath
> > ImportError: dlopen(/Library/Python/2.6/site-packages/
> > numpy-1.5.0.dev_20091211-py2.6-macosx-10.6-universal.egg/numpy/core/
> > umath.so, 2): Symbol not found: _npy_cexp
> >    Referenced from: /Library/Python/2.6/site-packages/
> > numpy-1.5.0.dev_20091211-py2.6-macosx-10.6-universal.egg/numpy/core/
> > umath.so
> >    Expected in: flat namespace
> >   in /Library/Python/2.6/site-packages/numpy-1.5.0.dev_20091211-py2.6-
> > macosx-10.6-universal.egg/numpy/core/umath.so
> > I think my build script is good, but here it is just incase:
>
> > #!/bin/sh
> > export MACOSX_DEPLOYMENT_TARGET=10.6
> > export CFLAGS="-arch x86_64"
> > #export FFLAGS="-arch i386 -arch x86_64"
> > export FFLAGS="-arch x86_64"
> > export LDFLAGS="-Wall -lgfortran -undefined dynamic_lookup -bundle -
> > arch x86_64"
> > rm -rf build
> > python setup.py config -L/Users/fonnesbeck/Code/freetype -L/Users/
> > fonnesbeck/Code/libpng build
> > python setupegg.py egg_info --tag-date bdist_egg
>
> > I'm at my wits end with this one, so any help at all is most
> > appreciated.
>
> Don't specify LDFLAGS if you don't have to. It is obliterating the -l flag for
> the npy_math library that numpy builds internally and tries to link with.
>

Thanks Robert. I was not able to solve the problem on the Numpy list,
so I had to broaden the search.Will try what you suggest, though.