[SciPy-Dev] [SciPy-User] ANN: SciPy 0.10.1 release candidate 1

Ralf Gommers ralf.gommers@googlemail....
Tue Feb 21 16:44:35 CST 2012


On Tue, Feb 21, 2012 at 8:29 AM, Paul Anton Letnes <
paul.anton.letnes@gmail.com> wrote:

> > I'm not sure what to make of these. I'm tempted to say that for now only
> the recommended gfortran is supported. There's too much going wrong on OS X
> Lion to be able to fix it all for 0.10.1.
> >
> > For 0.11.0 we should attempt to get this fixed, including the llvm-gcc
> situation.
> >
> > Can you check where that gfortran 4.6.2 actually comes from?
> >
> > Ralf
>
> After rebuilding with the recommended gfortran-4.2 this is the output from
> the tests. It does look better now. Let me know if you want me to try
> something else (like verbose=2). Oh, and by the way - this is 0.10.rc2.
>
> Thanks Paul. I'm seeing the same warnings, so the output is as expected
now.

Ralf




> Cheers
> Paul
>
> Tests:
>
> (scipy-test)i-courant ~/Downloads % python -c 'import
> scipy;scipy.test(verbose=1)'
> Running unit tests for scipy
> NumPy version 1.6.1
> NumPy is installed in
> /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/numpy
> SciPy version 0.10.1rc2
> SciPy is installed in
> /Users/paulanto/Downloads/scipy-0.10.1rc2/scipy-test/lib/python2.7/site-packages/scipy
> Python version 2.7.2 (default, Oct  9 2011, 18:03:13) [GCC 4.2.1 (Apple
> Inc. build 5666) (dot 3)]
> nose version 1.1.2
> ............................................................................................................................................................................................................................K............................................................................................................/Users/paulanto/Downloads/scipy-0.10.1rc2/scipy-test/lib/python2.7/site-packages/scipy/interpolate/fitpack2.py:674:
> UserWarning:
> The coefficients of the spline returned have been computed as the
> minimal norm least-squares solution of a (numerically) rank deficient
> system (deficiency=7). If deficiency is large, the results may be
> inaccurate. Deficiency may strongly depend on the value of eps.
>  warnings.warn(message)
> ....../Users/paulanto/Downloads/scipy-0.10.1rc2/scipy-test/lib/python2.7/site-packages/scipy/interpolate/fitpack2.py:605:
> UserWarning:
> The required storage space exceeds the available storage space: nxest
> or nyest too small, or s too small.
> The weighted least-squares spline corresponds to the current set of
> knots.
>  warnings.warn(message)
> ........................K..K....../usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/numpy/core/numeric.py:1920:
> RuntimeWarning: invalid value encountered in absolute
>   return all(less_equal(absolute(x-y), atol + rtol * absolute(y)))
> ............................................................................................................................................................................................................................................................................................................................................................................................................................................./Users/paulanto/Downloads/scipy-0.10.1rc2/scipy-test/lib/python2.7/site-packages/scipy/io/wavfile.py:31:
> WavFileWarning: Unfamiliar format bytes
>   warnings.warn("Unfamiliar format bytes", WavFileWarning)
> /Users/paulanto/Downloads/scipy-0.10.1rc2/scipy-test/lib/python2.7/site-packages/scipy/io/wavfile.py:121:
> WavFileWarning: chunk not understood
>   warnings.warn("chunk not understood", WavFileWarning)
>
> ...............................................................................................................................................................................................................................SSSSSS......SSSSSS......SSSS...............................................................................S............................................................................................................................................................................................................................................................K......................................................................................................................................................................................................SSSSS............S..............................................................................................................................................................................................
>  ............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSSSSSSSSSS.........../Users/paulanto/Downloads/scipy-0.10.1rc2/scipy-test/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py:63:
> UserWarning: Single-precision types in `eigs` and `eighs` are not supported
> currently. Double precision routines are used instead.
>   warnings.warn("Single-precision types in `eigs` and `eighs` "
>
> ............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K...............................................................K.................................................................
>
>  ..........................................................................................KK.............................................................................................................................................................................................................................................................................................................................................................................................................................................K.K.............................................................................................................................................................................................................................................................................................................................................................................................K........K..............SSSSSSS.....................................................
>
>  .....................................................................................................S..............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
> ----------------------------------------------------------------------
> Ran 5101 tests in 53.247s
>
> OK (KNOWNFAIL=12, SKIP=42)
>
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