Hi ShuntTim,
I think the problem is elsewhere as your expression is working just fine. An
example of python script using eval is the demo_plate.py one.
About the equivalence of types, yes you are correct. Do you run into specific
problems on AMD64 ?
Quoting LUK ShunTim <[EMAIL PROTECTED]>:
> Hello,
>
> I'm learning to use the python interface by trying to translate the
> M-files in the tests/matlab directory into their python counterparts.
>
> I start with tutorial1.m and things seem to go well until this line
>
> R=gf_mesh_fem_get(mf, 'eval', {'(x-.5).^2 + (y-.5).^2 + x/5 - y/3'});
>
> Here's the python equivalent I used:
> R=mf.eval('(x[0] - 0.5)**2 + (x[1] - 0.5)**2 + x[0]/5.0 - x[1]/3.0')
>
> I got this error traceback
>
> </error>
> ([], array([], type=Int32))
> Traceback (most recent call last):
> File "tutorial1.py", line 50, in ?
> R=mf.eval('(x[0] - 0.5)**2 + (x[1] - 0.5)**2 + x[0]/5.0 - x[1]/3.0')
> File "/usr/lib/python2.4/site-packages/getfem/getfem.py", line 865,
> in eval
> x=P[:,0]; r=numarray.array(eval(expression))
> IndexError: Index out of range
> </error>
>
> I think I don't know how to use the eval() function correctly.
>
> Another question: is my understanding of the equivalence of types in the
> matlab-interface document correct?
>
> Matlab Python
>
> ivec numarray rank-1 integer array (of default precision)
> vec numarray rank-1 float array (of default precision)
> imat numarray rank-2 integer array (of default precision)
> mat numarray rank-2 float array (of default precision)
>
> On my debian/sid amd64, the default precision for array elements are
> Int64 and Float64, respectively.
>
> If anyone is interested, after I get them working, I'm happy to share
> them. But don't hold your breadth, :-) I just started my learning and I
> can only do it intermittently. I'm sure I have to seek your help again.
>
> Thanks in advance,
> ST
> --
>
>
>
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