[SciPy-User] Inconsistent scipy.test() failures

Tony Stillfjord tony@maths.lth...
Thu Jun 21 04:48:02 CDT 2012


Hi,

Russell's post arrived just as I was in the process of writing a similar
question.

I get similar results, but my first run passes fine (OK (KNOWNFAIL=13,
SKIP=18))
but with some warnings while the next run fails the test_mio.test_mat4_3d
and the
 "Regression test for #651" tests. Subsequent runs seem to give the same 2
failures.

I ran these tests in the process of trying to figure out why some wrapped
FORTRAN
code gives me different results on different computers, so I have also set
up two
VMs with 32-bit and 64-bit Ubuntu 10.10. (Since I believed the architecture
had
something to do with it.)

On the 32-bit system I don't get the
test_ndgriddata.TestGriddata.test_1d_unsorted
fail but instead the test_singular in linalg/tests/test_decomp.py fails. I
also get
FAIL: test_datatypes.test_uint64_max, from ndimage/tests/test_datatypes.py
(which I suppose could be expected on a 32-bit system?).

On the 64-bit system I get no errors on the first run, then on subsequent
runs the
test_mio.test_mat4_3d and the regression test for #651 fails.

System information:
NumPy version 1.6.1
SciPy version 0.10.1
Python version 2.6.6 (r266:84292, Sep 15 2010, 16:22:56) [GCC 4.4.5]
nose version 0.11.1
Lapack from package manager's liblapack-dev
gfortran v4.4.5
gcc v.4.4.5
uname -a = Linux lambert 2.6.35-32-generic #67-Ubuntu SMP Mon Mar 5
19:39:49 UTC 2012 x86_64 GNU/Linux
os.name: posix
sys.platform: linux2

The VMs should be roughly the same thing, these are the different uname
-a's:
Linux Ubuntu101032 2.6.35-32-generic #67-Ubuntu SMP Mon Mar 5 19:35:26 UTC
2012 i686 GNU/Linux
Linux Ubuntu101064 2.6.35-32-generic #67-Ubuntu SMP Mon Mar 5 19:39:49 UTC
2012 x86_64 GNU/Linux

Best regards,
Tony Stillfjord

On Wed, Jun 20, 2012 at 11:16 PM, Russell Warren <russ@perspexis.com> wrote:

> I just tested what I thought was a successful scipy installation and it is
> failing.  What's more, it is failing differently between the first and
> subsequent runs.  FWIW, numpy.test("full") passes with no errors.
>
> Should I be concerned about any of these failures?  Are scipy test suite
> failures typical/expected?
>
> Results of first scipy.test() run (1 failure, peppered with warnings):
> http://pastebin.com/raw.php?i=00BrCYNA
>
> Results of subsequent scipy.test() runs (1 error, 3 failures, no warnings):
> http://pastebin.com/raw.php?i=DHcLUjp9
>
> System info:
>
>    - NumPy version 1.6.2
>    - SciPy version 0.10.1
>    - Python version 2.7.3 (default, Jun 19 2012, 16:53:07) [GCC 4.6.1]
>    - nose version 1.1.2
>    - lapack-3.4.1 (netlib version, compiled from
>    http://www.netlib.org/lapack/lapack.tgz)
>    - gfortran v4.6.1
>    - gcc v4.6.1
>    - uname -a = Linux edms 3.0.21-tinycore #3021 SMP Sat Feb 18 11:54:11
>    EET 2012 i686 GNU/Linux
>    -
>    - os.name: posix
>    - sys.platform: linux2
>
>
>
>
>
>
> _______________________________________________
> SciPy-User mailing list
> SciPy-User@scipy.org
> http://mail.scipy.org/mailman/listinfo/scipy-user
>
>
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