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 <bsouthey@gmail.com <mailto:bsouthey@gmail.com>> 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
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org <mailto:NumPy-Discussion@scipy.org> http://mail.scipy.org/mailman/listinfo/numpy-discussion