[Numpy-discussion] Which to test: 1.1.x or 1.1.0rc1?

[James Snyder]

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
jbsnyder at gmail.com
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