Which to test: 1.1.x or 1.1.0rc1?

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Which to test: 1.1.x or 1.1.0rc1?

jbsnyder
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
[hidden email]
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Re: Which to test: 1.1.x or 1.1.0rc1?

Jarrod Millman
On Sun, May 18, 2008 at 12:56 PM, James Snyder <[hidden email]> wrote:
> 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?

Hmmm.  I deleted the 1.1.x branch and it doesn't appear to exist
anymore.  How did you get it?

Please test the 1.1.0rc1:
http://projects.scipy.org/scipy/numpy/browser/tags/1.1.0rc1


--
Jarrod Millman
Computational Infrastructure for Research Labs
10 Giannini Hall, UC Berkeley
phone: 510.643.4014
http://cirl.berkeley.edu/
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Re: Which to test: 1.1.x or 1.1.0rc1?

jbsnyder
I've been using git-svn, so I suppose I'm pulling the last rev that
was in 1.1.x. Checked out the RC, looks like there are more unit
tests, but they all still pass for me:

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 18/18 tests for numpy.core.defmatrix
  Found 3/3 tests for numpy.core.memmap
  Found 283/283 tests for numpy.core.multiarray
  Found 70/70 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 94/94 tests for numpy.ma.core
  Found 15/15 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 1004 tests in 1.342s

OK

Out[2]: <unittest._TextTestResult run=1004 errors=0 failures=0>

On Sun, May 18, 2008 at 9:47 PM, Jarrod Millman <[hidden email]> wrote:

> On Sun, May 18, 2008 at 12:56 PM, James Snyder <[hidden email]> wrote:
>> 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?
>
> Hmmm.  I deleted the 1.1.x branch and it doesn't appear to exist
> anymore.  How did you get it?
>
> Please test the 1.1.0rc1:
> http://projects.scipy.org/scipy/numpy/browser/tags/1.1.0rc1
>
>
> --
> Jarrod Millman
> Computational Infrastructure for Research Labs
> 10 Giannini Hall, UC Berkeley
> phone: 510.643.4014
> http://cirl.berkeley.edu/
> _______________________________________________
> Numpy-discussion mailing list
> [hidden email]
> http://projects.scipy.org/mailman/listinfo/numpy-discussion
>



--
James Snyder
Biomedical Engineering
Northwestern University
[hidden email]
_______________________________________________
Numpy-discussion mailing list
[hidden email]
http://projects.scipy.org/mailman/listinfo/numpy-discussion