[SciPy-dev] St9bad_alloc

Maik Trömel mtroemel81@web...
Thu Jun 21 03:52:02 CDT 2007


My system has:
Python 2.4.1
Scipy '0.5.2'
Numpy '1.0.1'

The Second System was Python 2.5.1, with the same scipy and numpy versions.
Both system are running with Debian Testing.

At the moment I can't update, but I'll try out.

Greetings Maik




> -----Ursprüngliche Nachricht-----
> Von: SciPy Developers List <scipy-dev@scipy.org>
> Gesendet: 21.06.07 09:01:28
> An: SciPy Developers List <scipy-dev@scipy.org>
> Betreff: Re: [SciPy-dev] St9bad_alloc


> 
> Maik Trömel wrote:
> > I tried it out at another system and I get the same error.
> > Probably there is  memory leak in the delaunay-package. Or does anybody else have an idea what the problem could be? 
> >
> > Here is an example script (with sub-matrixes) which crashes:
> >
> > from numpy import *
> > from scipy import *
> > from numpy.random import *
> > from scipy.sandbox.delaunay import *
> >
> > index_y= [] 
> > index_x = [] 
> > value = []
> > for i in range(200):
> >    index_y.append(randint(10,2500))
> >    index_x.append(randint(10,2500))
> >    value.append(randint(1,10))  
> > nwyx = indices((2600, 2548))
> > tri = Triangulation(index_y, index_x)
> > interp = tri.nn_interpolator(value)
> > nwwert = zeros((2600, 2548)) 
> > nwwert[0:1300, 0:1300] = interp(nwyx[0][0:1300, 0:1300], nwyx[1][0:1300, 0:1300]) 
> > nwwert[0:1300, 1300:2548] = interp(nwyx[0][0:1300, 1300:2548], nwyx[1][0:1300, 1300:2548])
> > nwwert[1300:2600, 0:1300] = interp(nwyx[0][1300:2600, 0:1300], nwyx[1][1300:2600, 0:1300]) 
> > nwwert[1300:2600, 1300:2548] = interp(nwyx[0][1300:2600, 1300:2548], nwyx[1][1300:2600, 1300:2548])
> >
> > nwwert = where(nwwert == nwwert, nwwert, 0)
> > print  nwwert.max()
> >
> > Greetings Maik
> >
> >   
>  
> Here is the output of your script
> python -i maik.py
> 9.0
> >>>              
> >>> import scipy
> >>> scipy.__version__
> '0.5.3.dev3112'
>  >>> import numpy
> >>> numpy.__version__
> '1.0.4.dev3875'
> 
> 
> Nils
> 
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