> Do you really need python 2.5 ? By building your own python, you are > forcing yourself to build every package you will need for python, > including the dependencies. For matplotlib, it will be painful. Python > 2.4 is enough (incidentally, I have to use Centos 5 at some place, on > the same architecture).
I don't really need Python2.5. Python2.4 is actually available on the network but I think I will run into problems using the network one and try using local libraries. I assume one would need to change the paths on a file which I can't change. Anyway I installed Python2.5 without any problems. I guess the problem is combining numpy/scipy with the lapack/blas/atlas package. > For Blas/Lapack, how did you build them ? (Which version, which > makefile, which fortran compiler). I forgot to include the link: http://www.scipy.org/Installing_SciPy/. I basically followed the instructions mentioned at `building Atlas by hand`. The build did not result in any errors. I have also tried to build it using OPTS = -O2 -fPIC -m64 and NOOPT = -O0 -fPIC -m64 when building the Lapack. > > However after installing I tried to import numpy in python and > > received to following error: ImportError: > > /users/francisd/local/lib/python2.5/site-packages/numpy/linalg/lapack_lite.so: > > undefined symbol: zgesdd_ > > What lapack_lite.so does depend on ? (ldd > /users/francisd/local/lib/python2.5/site-packages/numpy/linalg/lapack_lite.so) Output: libpthread.so.0 => /lib64/libpthread.so.0 (0x00002b4187472000) libc.so.6 => /lib64/libc.so.6 (0x00002b418768c000) /lib64/ld-linux-x86-64.so.2 (0x00000036b8800000) > > Googling this error, it seems that the error is caused by having a > > wrong lapack version. I am running Centos 5 (basically Red Hat > > Enterprise Linux 5) on a x86_64 machine. > > Unfortunately, it can be many things. Blas/Lapack/Atlas are difficult to > build by yourself, there are tens of way to screw up at any point. If > you give us the above information, it should be clearer where exactly an > error was made You make it sound as there is no easy solution. > cheers, > > David > _______________________________________________ > Numpy-discussion mailing list > [EMAIL PROTECTED]://projects.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
