[SciPy-Dev] [SciPy-User] ANN: SciPy 0.11.0 release candidate 1

[Ralf Gommers]

On Mon, Jul 30, 2012 at 10:36 PM, Ralf Gommers
<ralf.gommers at googlemail.com>wrote:

>
>
> On Sat, Jul 21, 2012 at 7:21 PM, John Hassler <hasslerjc at comcast.net>wrote:
>
>>
>> On 7/20/2012 5:00 PM, Pauli Virtanen wrote:
>> > 20.07.2012 22:24, John Hassler kirjoitti:
>> >> The offending line is:
>> >> AA,BB,Q,Z,sdim = qz(A,B,sort=sort)
>> >>
>> >> I couldn't find 'sort' defined anywhere, so I arbitrarily changed it to
>> >> sort='lhp'.  Then it runs, although the test fails.
>> >>
>> >> Is there something else I can try?
>> > Seems to be a problem with the callable sort function then.
>> >
>> > That it works with sort='lhp' is strange, and probably means that there
>> > is not a problem with all callback functions, but something goes wrong
>> > in the algorithm. (Which would be expected, if *gees callbacks work
>> > without problems.)
>> >
>> > If you can/know how to recompile, try recompiling with
>> >
>> > set OPT=-g -DDEBUGCFUNCS
>> > python setup.py .........
>> >
>> > This should make the f2py wrappers spit out extra information on what is
>> > going on.
>> >
>> I'm not set up to recompile.
>
>
> Is there anyone who can reproduce the issue and investigate this further?
> Alternatively I can build some binaries with the above debug flags. I can't
> reproduce the issue though, so that may be a painful way to debug.
>

I have been able to reproduce this now. Some tracebacks and details at
http://projects.scipy.org/scipy/ticket/1717. If anyone has some ideas,
shoot!

Ralf



> Ralf
>
>
>
>> I set up a little test program to
>> reproduce the problem (below).  It leads to the Fortran call to gges in
>> _decomp_qz.py.  This crashes if sort_t = 1 (which calls the lambda), but
>> not for sort_t = 0.  I didn't play with it any further.
>> john
>>
>> # Test qz
>> import numpy as np
>> from scipy.linalg import qz
>>
>> A =   np.array([[3.9,  12.5, -34.5,  -0.5],
>>                  [ 4.3,  21.5, -47.5,   7.5],
>>                  [ 4.3,  21.5, -43.5,   3.5],
>>                  [ 4.4,  26.0, -46.0,   6.0 ]])
>>
>> B = np.array([[ 1.0,   2.0,  -3.0,   1.0],
>>                [1.0,   3.0,  -5.0,   4.0],
>>                [1.0,   3.0,  -4.0,   3.0],
>>                [1.0,   3.0,  -4.0,   4.0]])
>>
>>
>> #sort = lambda ar,ai,beta : ai == 0  ## crashes
>> sort = None                         ## runs
>>
>> print(qz(A,B,sort=sort))
>>
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>>
>
>
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