This problem has nothing to do with numpy -- somehow, gcc binaries themselves were overwritten by a process that installed just 32-bit versions, ... so the problem is with the c compiler itself, and has been resolved.
thanks! Dan On Thu, Nov 11, 2010 at 7:48 AM, Dan Yamins <[email protected]> wrote: > > > >> Yes, it should. This was fixed a couple of days ago in >> commit:435c7262592e94c8519f (master) and commit:8346ba04a5c574441304 >> (1.5.x). I guess you used an older revision, can you please update and >> try again? >> > > Did this, but am having the same problem. This is the relevant output at > the beginning of the build process that is showing that the wrong options > being used: > > $python setup.py build > > .... > > C compiler: /usr/bin/gcc-4.0 -fno-strict-aliasing -fno-common -dynamic > -pipe -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes > > ... > > > So then when I try to actually use the installed binary, I get this error: > > In [1]: import numpy > --------------------------------------------------------------------------- > ImportError Traceback (most recent call last) > > .... > > ----> 5 import multiarray > 6 import umath > 7 import _internal # for freeze programs > > ImportError: dlopen(numpy/core/multiarray.so, 2): no suitable image found. > Did find: > numpy/core/multiarray.so: mach-o, but wrong architecture > > Obviously consistently, > > $file numpy/core/multiarray.so > numpy/core/multiarray.so: Mach-O bundle i386 > > ... > > > Somehow, the build config script is not picking up the fact that the python > interpreter I'm using is 64bit. > > Dan > > > > >> >> > I've used the same build process on the same machine (in what I thought >> were >> > identical situations, apparently not) a number of times in the past, and >> it >> > has always built correctly as 64 bit. I never needed to set compiler >> > options. >> > 2) How do I set C compiler options for the numpy build process? >> >> That shouldn't be necessary. >> >> Cheers, >> Ralf >> _______________________________________________ >> NumPy-Discussion mailing list >> [email protected] >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > >
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