Jonathan Wright wrote: > Dan Yamins wrote: > >> On Wed, Jun 4, 2008 at 9:06 PM, Charles R Harris >> <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>> wrote: >> >> >> Are both python and your version of OS X fully 64 bits? >> >> >> I'm not sure. >> > >From python: > > python2.5 -c 'import platform;print platform.architecture()' > ('32bit', 'ELF') > > versus : > > ('64bit', 'ELF') > > You can also try the unix file command (eg: from a terminal): > > Hi Jon,
as described in the other email in this thread about an hour ago I did build python 2.5.2 on OSX in 64 bit mode. As is the ctypes extension does not build due to libffi being too old. I manually got it to build [hackish, long story, details will go to the python dev list in a couple days] and now it works, i.e. twisted works correctly and the Sage notebook which depends on twisted passes doctests. > $ file `which python2.5` > /sware/exp/fable/standalone/redhate4-a64/bin/python: ELF 64-bit LSB > executable, AMD x86-64, version 1 (SYSV), for GNU/Linux 2.4.0, > dynamically linked (uses shared libs), not stripped > > ...etc. We needed this for generating the .so library file name for > ctypes, and got the answer from comp.lang.python. I hope it also works > for OS X. > > Can you elaborate on this a little? I have a 64 bit python 2.5.2 and ctypes imports fine: bsd:64bitnumpy mabshoff$ file `which python` /Users/mabshoff/64bitnumpy/python-2.5.2-bin/bin//python: Mach-O 64-bit executable x86_64 bsd:64bitnumpy mabshoff$ python Python 2.5.2 (r252:60911, Jun 4 2008, 21:59:02) [GCC 4.0.1 (Apple Inc. build 5465)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import _ctypes >>> ^D But since I manually build it and copied it over python might not "know" it exists [excuse much lack of python-internals foo here]. Since I tested numpy-1.1 before I copied over the ctypes extension I deleted numpy-1.1 from site-packages and rebuild from fresh sources, but despite the ctypes extension existing and working it still fails the numpy ctypes test: <SNIP other tests> Found 5/5 tests for numpy.tests.test_ctypeslib <SNIP many dots>ctypes is not available on this python: skipping the test (import error was: ctypes is not available.) ..... ---------------------------------------------------------------------- Ran 1275 tests in 1.235s I am not what I would call familiar with numpy internals, so is there a magic thing I can do to make numpy aware that ctypes exists? I am willing to find out myself, but do not have the time today to go off and spend a day or two on this, especially if somebody on the list can just point me to the right spot ;) Any input is appreciated. > Best, > > Jon > > > Cheers, Michael > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
