Hi - I've been running out of trunk recently, and I've noted that an rc release has appeared and the 1.1.x branch has been regenerated.
Which would be most helpful to provide feedback from? >From the branch (1.1.1x) - test results on Mac OS X 10.5.2, built for universal, using apple Python, looks all clean. In the past I've needed to build universal binaries, not sure if that is still the case, but things behave more happily if I do. CFLAGS="-O -g -isysroot /Developer/SDKs/MacOSX10.5.sdk -arch ppc -arch ppc64 -arch i386 -arch x86_64" LDFLAGS="-arch ppc -arch ppc64 -arch i386 -arch x86_64" Thanks for the fabulous work guys! It's great to have an open and python-based alternative for scientific computing. In [2]: numpy.test() Numpy is installed in /Library/Python/2.5/site-packages/numpy Numpy version 1.1.0.dev5142 Python version 2.5.1 (r251:54863, Feb 4 2008, 21:48:13) [GCC 4.0.1 (Apple Inc. build 5465)] Found 15/15 tests for numpy.core.defmatrix Found 3/3 tests for numpy.core.memmap Found 281/281 tests for numpy.core.multiarray Found 69/69 tests for numpy.core.numeric Found 36/36 tests for numpy.core.numerictypes Found 12/12 tests for numpy.core.records Found 7/7 tests for numpy.core.scalarmath Found 16/16 tests for numpy.core.umath Found 5/5 tests for numpy.ctypeslib Found 5/5 tests for numpy.distutils.misc_util Found 2/2 tests for numpy.fft.fftpack Found 3/3 tests for numpy.fft.helper Found 24/24 tests for numpy.lib._datasource Found 10/10 tests for numpy.lib.arraysetops Found 1/1 tests for numpy.lib.financial Found 0/0 tests for numpy.lib.format Found 53/53 tests for numpy.lib.function_base Found 5/5 tests for numpy.lib.getlimits Found 6/6 tests for numpy.lib.index_tricks Found 15/15 tests for numpy.lib.io Found 1/1 tests for numpy.lib.machar Found 4/4 tests for numpy.lib.polynomial Found 49/49 tests for numpy.lib.shape_base Found 15/15 tests for numpy.lib.twodim_base Found 43/43 tests for numpy.lib.type_check Found 1/1 tests for numpy.lib.ufunclike Found 89/89 tests for numpy.linalg Found 93/93 tests for numpy.ma.core Found 14/14 tests for numpy.ma.extras Found 7/7 tests for numpy.random Found 16/16 tests for numpy.testing.utils Found 0/0 tests for __main__ .............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................. ...... ---------------------------------------------------------------------- Ran 996 tests in 1.784s OK Out[2]: <unittest._TextTestResult run=996 errors=0 failures=0> -- James Snyder Biomedical Engineering Northwestern University [EMAIL PROTECTED]
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