Dan Yamins wrote: > > Hello folks, I did port Sage and hence Python with numpy and scipy to 64 bit OSX and below are some sample build instructions for just building python and numpy in 64 bit mode. > > > Try > > In [3]: numpy.dtype(numpy.uintp).itemsize > Out[3]: 4 > > which is the size in bytes of the integer needed to hold a > pointer. The output above is for 32 bit python/numpy. > > Chuck > > > Check, the answer is 4, as you got for the 32-bit. What would the > answer be on a 64-bit architecture? Why is this diagnostic? > > Thanks! > Dan > First try:
export OPT="-g -fwrapv -O3 -m64 -Wall -Wstrict-prototypes" ./configure --disable-toolbox-glue --prefix=/Users/mabshoff/64bitnumpy/python-2.5.2-bin <SNIP> checking for int... yes checking size of int... 4 checking for long... yes checking size of long... 4 <SNIP> Oops, make fail because of the above. Let's try again: ./configure --disable-toolbox-glue --prefix=/Users/mabshoff/64bitnumpy/python-2.5.2-bin --with-gcc="gcc -m64" <SNIP> checking for int... yes checking size of int... 4 checking for long... yes checking size of long... 8 <SNIP> make && make install then: bsd:python-2.5.2-bin mabshoff$ file bin/python bin/python: Mach-O 64-bit executable x86_64 Let's make the 64 bit python default: bsd:64bitnumpy mabshoff$ export PATH=/Users/mabshoff/64bitnumpy/python-2.5.2-bin/bin/:$PATH bsd:64bitnumpy mabshoff$ which python /Users/mabshoff/64bitnumpy/python-2.5.2-bin/bin//python bsd:64bitnumpy mabshoff$ file `which python` /Users/mabshoff/64bitnumpy/python-2.5.2-bin/bin//python: Mach-O 64-bit executable x86_64 Let's build numpy 1.1.0: bsd:64bitnumpy mabshoff$ tar xf numpy-1.1.0.tar.gz bsd:64bitnumpy mabshoff$ cd numpy-1.1.0 bsd:numpy-1.1.0 mabshoff$ python setup.py install <SNIP> bsd:python-2.5.2-bin mabshoff$ python Python 2.5.2 (r252:60911, Jun 4 2008, 20:47:16) [GCC 4.0.1 (Apple Inc. build 5465)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import numpy >>> numpy.dtype(numpy.uintp).itemsize 8 >>> ^D bsd:python-2.5.2-bin mabshoff$ Voila ;) Wi th numpy 1.0.4svn from 20080104 the numpy setup did not work since a conftest failed. I did report that to Stefan V. in IRC via #sage-devel and I also thought that this was still a problem with numpy 1.1.0, but fortuantely that was fixed. Now on to the test suite: >>> numpy.test() Numpy is installed in /Users/mabshoff/64bitnumpy/python-2.5.2-bin/lib/python2.5/site-packages/numpy Numpy version 1.1.0 Python version 2.5.2 (r252:60911, Jun 4 2008, 20:47:16) [GCC 4.0.1 (Apple Inc. build 5465)] Found 18/18 tests for numpy.core.tests.test_defmatrix Found 3/3 tests for numpy.core.tests.test_errstate Found 3/3 tests for numpy.core.tests.test_memmap Found 286/286 tests for numpy.core.tests.test_multiarray Found 70/70 tests for numpy.core.tests.test_numeric Found 36/36 tests for numpy.core.tests.test_numerictypes Found 12/12 tests for numpy.core.tests.test_records Found 143/143 tests for numpy.core.tests.test_regression Found 7/7 tests for numpy.core.tests.test_scalarmath Found 2/2 tests for numpy.core.tests.test_ufunc Found 16/16 tests for numpy.core.tests.test_umath Found 63/63 tests for numpy.core.tests.test_unicode Found 4/4 tests for numpy.distutils.tests.test_fcompiler_gnu Found 5/5 tests for numpy.distutils.tests.test_misc_util Found 2/2 tests for numpy.fft.tests.test_fftpack Found 3/3 tests for numpy.fft.tests.test_helper Found 24/24 tests for numpy.lib.tests.test__datasource Found 10/10 tests for numpy.lib.tests.test_arraysetops Found 1/1 tests for numpy.lib.tests.test_financial Found 53/53 tests for numpy.lib.tests.test_function_base Found 5/5 tests for numpy.lib.tests.test_getlimits Found 6/6 tests for numpy.lib.tests.test_index_tricks Found 15/15 tests for numpy.lib.tests.test_io Found 1/1 tests for numpy.lib.tests.test_machar Found 4/4 tests for numpy.lib.tests.test_polynomial Found 1/1 tests for numpy.lib.tests.test_regression Found 49/49 tests for numpy.lib.tests.test_shape_base Found 15/15 tests for numpy.lib.tests.test_twodim_base Found 43/43 tests for numpy.lib.tests.test_type_check Found 1/1 tests for numpy.lib.tests.test_ufunclike Found 89/89 tests for numpy.linalg.tests.test_linalg Found 3/3 tests for numpy.linalg.tests.test_regression Found 94/94 tests for numpy.ma.tests.test_core Found 15/15 tests for numpy.ma.tests.test_extras Found 17/17 tests for numpy.ma.tests.test_mrecords Found 36/36 tests for numpy.ma.tests.test_old_ma Found 4/4 tests for numpy.ma.tests.test_subclassing Found 7/7 tests for numpy.tests.test_random Found 16/16 tests for numpy.testing.tests.test_utils Found 5/5 tests for numpy.tests.test_ctypeslib .............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................. ........................................................................................................................................................................................................................................................................................ctypes is not available on this python: skipping the test (import error was: ctypes is not available.) ..... ---------------------------------------------------------------------- Ran 1275 tests in 1.420s OK <unittest._TextTestResult run=1275 errors=0 failures=0> I did also fixe the ctypes build in 64 bit OSX, but that is right now a truly horrible hack. Sage needs it for twisted, so it isn't an option. I will clean up my fix and post it to the python list soon [I have been busy with $WORK, so no clean version yet], but if anybody cares here I can post a simple step by step workaround. The issue here is that the libffi used by ctypes is way out of date and as is does not have 64 bit OSX support. Hope this helps. Congratulations on numpy 1.1.0 - I mostly lurk here, so I didn't have a chance yet. 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
