I'll answer my own question. It was a mix of using two different fortran compilers so specified the option: python setup.py config_fc --fcompiler=gfortran build.

All seems to be going well now.


On 07/08/2011 05:35 PM, Jeffrey Spencer wrote:
That actually makes sense because I am not sure the gnu that it was compiled with but I think it is different. I have since compiled gcc myself, then python, and atlas libraries. Then I tried to install numpy. It go tthrough the install no worries and found the correct libraries. It stuffed when I tried to import it with this error:

>>> import numpy
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
File "/home/jspender/lib/python2.6/site-packages/numpy/__init__.py", line 137, in <module>
    import add_newdocs
File "/home/jspender/lib/python2.6/site-packages/numpy/add_newdocs.py", line 9, in <module>
    from numpy.lib import add_newdoc
File "/home/jspender/lib/python2.6/site-packages/numpy/lib/__init__.py", line 13, in <module>
    from polynomial import *
File "/home/jspender/lib/python2.6/site-packages/numpy/lib/polynomial.py", line 17, in <module>
    from numpy.linalg import eigvals, lstsq
File "/home/jspender/lib/python2.6/site-packages/numpy/linalg/__init__.py", line 48, in <module>
    from linalg import *
File "/home/jspender/lib/python2.6/site-packages/numpy/linalg/linalg.py", line 23, in <module>
    from numpy.linalg import lapack_lite
ImportError: /home/jspender/lib/python2.6/site-packages/numpy/linalg/lapack_lite.so: undefined symbol: _gfortran_concat_string
>>>

Any ideas???

Cheers,
Jeff

On Fri, Jul 8, 2011 at 12:37 AM, Bruce Southey <[email protected] <mailto:[email protected]>> wrote:

    On 07/07/2011 05:23 AM, Jeffrey Spencer wrote:
    > The error is below:
    >
    > creating build/temp.linux-x86_64-2.6/numpy/core/blasdot
    > compile options: '-DATLAS_INFO="\"None\"" -Inumpy/core/blasdot
    > -Inumpy/core/include
    > -Ibuild/src.linux-x86_64-2.6/numpy/core/include/numpy
    > -Inumpy/core/src/private -Inumpy/core/src -Inumpy/core
    > -Inumpy/core/src/npymath -Inumpy/core/src/multiarray
    > -Inumpy/core/src/umath -Inumpy/core/include
    > -I/home/jspender/include/python2.6
    > -Ibuild/src.linux-x86_64-2.6/numpy/core/src/multiarray
    > -Ibuild/src.linux-x86_64-2.6/numpy/core/src/umath -c'
    > gcc: numpy/core/blasdot/_dotblas.c
    > numpy/core/blasdot/_dotblas.c: In function ‘dotblas_matrixproduct’:
    > numpy/core/blasdot/_dotblas.c:239: warning: comparison of distinct
    > pointer types lacks a cast
    > numpy/core/blasdot/_dotblas.c:257: warning: passing argument 3 of
    > ‘*(PyArray_API + 2240u)’ from incompatible pointer type
    > numpy/core/blasdot/_dotblas.c:292: warning: passing argument 3 of
    > ‘*(PyArray_API + 2240u)’ from incompatible pointer type
    > gcc -pthread -shared
    > build/temp.linux-x86_64-2.6/numpy/core/blasdot/_dotblas.o
    > -L/usr/local/lib -Lbuild/temp.linux-x86_64-2.6 -lf77blas -lcblas
    -latlas
    > -o build/lib.linux-x86_64-2.6/numpy/core/_dotblas.so
    > /usr/bin/ld: skipping incompatible /usr/local/lib/libf77blas.a when
    > searching for -lf77blas
    > /usr/bin/ld: skipping incompatible /usr/local/lib/libf77blas.a when
    > searching for -lf77blas
    > /usr/bin/ld: cannot find -lf77blas
    > collect2: ld returned 1 exit status
    > /usr/bin/ld: skipping incompatible /usr/local/lib/libf77blas.a when
    > searching for -lf77blas
    > /usr/bin/ld: skipping incompatible /usr/local/lib/libf77blas.a when
    > searching for -lf77blas
    > /usr/bin/ld: cannot find -lf77blas
    > collect2: ld returned 1 exit status
    > error: Command "gcc -pthread -shared
    > build/temp.linux-x86_64-2.6/numpy/core/blasdot/_dotblas.o
    > -L/usr/local/lib -Lbuild/temp.linux-x86_64-2.6 -lf77blas -lcblas
    -latlas
    > -o build/lib.linux-x86_64-2.6/numpy/core/_dotblas.so" failed
    with exit
    > status 1
    >
    > Any help would be appreciated.
    >
    Python is looking for a 64-bit  library as the one in
    /usr/local/lib/ is
    either 32-bit or built with a different compiler version. If you have
    the correct library in another location then you need to point
    numpy to
    it or just build everything with the same compiler.

    Bruce

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