[Numpy-discussion] numpy, swig and TNT-Arrays

Matthieu Brucher matthieu.brucher@gmail....
Tue Nov 11 04:15:05 CST 2008


Hi,

Yes, you can, but it can be tricky.
What you may need to do is to check if TNT is capable of accepting an
array by pointer without handling the memory (delete when the array is
destroyed). If there are tools to do this, then it will be easy. If
not, you will have to add a specific handler either in SWIG (copy the
array in the in typemap and then copy it back again when the function
is finished) or in TNT.
If you need to do the latter, you can have some tips on my blog
(http://matt.eifelle.com/2007/11/06/wrapping-a-c-container-in-python/).

Matthieu

2008/11/11 Rolf Wester <rolf.wester@ilt.fraunhofer.de>:
> Charles R Harris wrote:
>> On Tue, Nov 11, 2008 at 1:24 AM, Rolf Wester
>> <rolf.wester@ilt.fraunhofer.de>wrote:
>>
>>> Hi all,
>>>
>>> I would like to wrap some C++ classes that use TNT-Arrays. Is it
>>> possible to pass numpy arrays to C++ functions that expect TNT-Arrays as
>>> function parameter? Does anybody know how the wrappers could be
>>> generated using swig? I would be very appreciative for any help.
>>>
>>> With kind regards
>>>
>>
>> IIRC, TNT does vectors and matrices, they have constructors, and they are
>> contiguous. I think you can make wrappers, but it isn't going to be anything
>> straight forward unless you can reuse the memory from a numpy array and I
>> don't recall that that sort of constructor is available.
>>
>> Is TNT still active? It looked pretty dead last time I looked several years
>> ago.
>>
>> Chuck
>>
>>
>>
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>
> TNT has constructors like:
>
> TNT::Array1D<double>(int n, double * data)
>
> which do not allocate a new C-array but that use "data" as their data-array.
>
> I'm not sure whether TNT is still actively maintained, the TNT home page
> was last modified in 2004, so you are probably right. But the TNT Arrays
> are just what I need and I know of no alternative.
>
> Rolf
> --
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