[Numpy-discussion] Numpy and Scientific Python
Hello, I use numpy and Scientific Numpy for my work. I installed them in a manner I can use them on remote OS in copying them and using sys.path.append. Many times it works, but sometimes (depending on Python version) I receive this error : ImportError: $MYLIBFOLDER/site-packages/ numpy/core/multiarray.so: cannot open shared object file: No such file or directory While this file exists on the expected place. Error occurs on 2.3.4 (#1, Dec 11 2007, 18:02:43) [GCC 3.4.6 20060404 (Red Hat 3.4.6-9)] Thank you in advance Vincent Ce message a ete envoye par le serveur IMP de l'EMA. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] numpy for 64 bits machine
Hello, I built the numpy module for 32 bits architecture (it seems the default building). However, my programs using this module have to be launched on remote worker nodes whose architecture can be 32 bits as well 64 bits (grid computing). First experimentations on 64 bits machines is bad, my programs don't work (problem of shared files). Is there someone who can provide me some documentations or hints to build 64 bits numpy for linux machines (mainly SL4) ? Thanks Vincent ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy for 64 bits machine
Hello, Is there an "easy way" to build numpy on remote 64 bits machines on which I don't have any roots privilege ? The shared problem seems related to 64 bits / 32 bits building. Vincent 2009/3/20 David Cournapeau > 2009/3/20 Vincent Thierion : > > Hello, > > > > I built the numpy module for 32 bits architecture (it seems the default > > building). However, my programs using this module have to be launched on > > remote worker nodes whose architecture can be 32 bits as well 64 bits > (grid > > computing). First experimentations on 64 bits machines is bad, my > programs > > don't work (problem of shared files). Is there someone who can provide me > > some documentations or hints to build 64 bits numpy for linux machines > > It is exactly the same as for 32 bits, but you need to build numpy on > a 64 bits machine (you can't build 64 bits numpy on a 32 bits > machine). > > The shared problem may be that you forgot to add -fPIC compilation > flag when building blas/lapack/atlas, but it is hard to tell without > more details, > > David > ___ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] numpy import on x86_64 arch
Hello, I import numpy module (numpy-1.0.4) on a x86_64 machine (on which I don't have any root privileges) after having install it thanks to python "setup.py install --prefix=../numpy". In this manner, I obtain a 64 bits compatible numpy library. (the "numpy" folder used for install is created just before install process) I had the following error : *import numpy File "../numpy/lib64/python2.3/site-packages/numpy/__init__.py", line 43, in ? File "../numpy/lib64/python2.3/site-packages/numpy/linalg/__init__.py", line 4, in ? File "../numpy/lib64/python2.3/site-packages/numpy/linalg/linalg.py", line 25, in ? ImportError: liblapack.so.3: cannot open shared object file: No such file or directory *I looked for liblapack.so.3 and find it in /usr/*lib*/liblapack.so.3. It seems it doesn't work because numpy 64 bits version seems to need /usr/* lib64*/liblapack.so.3. That I tested in other machine and it works when numpy can find /usr/*lib64*/liblapack.so.3. So is there a solution to use numpy 64 bits version with a /usr/*lib*/liblapack.so.3 or is it absolutly necessary to install lapack 64 bits version ? Thank you Vincent ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
