library path for setup.py?

When trying to build numpy on a linux platform, I can't make the configure script look in the right place. I use

python setup.py config --library-dirs=/softwa开发者_运维知识库re/intel/mkl/10.2.2.025/lib/em64t/

but then I get

mkl_info:

libraries mkl,vml,guide not found in /software/intel/mkl/10.2.2.025

libraries mkl,vml,guide not found in /software/intel/mkl/10.2.2.025/include

libraries mkl,vml,guide not found in /software/intel/mkl/10.2.2.025/lib

So it looks like it never actually looks into the subdirectory emt64/. The path I'm giving is also present in my LD_LIBRARY_PATH.

How can I give the script the right path?

Thanks in advance!

Had a similar problem with rpy2. Did not have root permissions and could not alter the existing R installation or add to its core library directory. R was not built as a shared object library, so I could not link the rpy2 build to a libR.so.

I had to cross compile libR.so on a separate machine (same R version, same Linux family) and copy it to a different directory. I wanted that directory to be seen by setup.py.

Couldn't get -L to work on the command line. It appeared that this argument was deactivated.

(FAIL) python setup.py -L${LD_LIBRARY_PATH} build install

What I ended up doing was editing setup.py and changing a line that accepts library directory entries.

(old) r_libs = []

(new) [os.path.join('/root','path','to_my','install','R','lib'),]

Reran it as: python setup.py build install

Success!

Perhaps

export PYTHONLIB="/software/intel/mkl/10.2.2.025/lib/em64t/"
python setup.py config