Hi Phil,
Am Donnerstag 09 September 2010, 16:35:00 schrieb Phil Thompson:
> <me...@informatik.uni-hamburg.de> wrote:
> > I was happy when I saw that %MappedType supports templates, but then I
> > realized that I could not use it for my multi-dimensional array type [1]
> > since
> > it does not support non-class arguments (integer dimension in my case).
> >
> > Would that be hard to fix?
>
> It does support non-class arguments.
That sounds great, but...
> > [1] http://tinyurl.com/NumpyArray is what I am dealing with
>
> I don't see the problem with this. Compare with PyQt's QPair<TYPE, int>
> where TYPE is a class.
I am not sure I see the connection. QPair does take two types, one of them
being int here. Maybe "non-class argument" was a little bit misleading, I was
thinking of
template<class value_type> ...
which is a synonym (don't we all love ambiguity) for
template<typename value_type>
in contrast to
template<unsigned int DIMENSION> class FixedSizeVector ...
Of course, 'int' is a 'class' (/'typename') in the above template-arg sense
and is supported by SIP, but I am interested in this exact use case:
typedef NumpyArray<4, vigra::UInt16> UInt16Array4D;
I have attached a corresponding SIP file that does not work (SIP gives a
syntax error at the above line), which you may try yourself with VIGRA [1].
Thanks for the reply,
Hans
[1] NumpyArray is new in VIGRA 1.7.0; your distribution might come with an
older version: http://hci.iwr.uni-heidelberg.de/vigra/
template<N, T>
%MappedType NumpyArray<N, T>
{
%TypeHeaderCode
// contains
// #include <vigra/numpy_array.hxx>
// plus the same typedefs as at the bottom of this file:
#include "python_arrays.hxx"
%End
%ConvertToTypeCode
if(sipIsErr == NULL)
return NumpyArray<N, T>::isReferenceCompatible(sipPy);
NumpyArray<N, T> *array = new NumpyArray<N, T>();
bool ok = array->makeReference(sipPy);
if(!ok)
{
// FIXME: set up proper exception
// *sipIsErr = true;
delete array;
return 0; // there is no temporary instance
}
*sipCppPtr = array;
// not really sure about this one; seems to be SIP
// boilerplate-code:
return sipGetState(sipTransferObj);
%End
%ConvertFromTypeCode
PyObject *result = sipCpp->pyObject();
if(!result)
{
if(!PyErr_Occurred())
PyErr_SetString(PyExc_ValueError,
"Cannot convert invalid PythonArray to ndarray");
return NULL;
}
Py_INCREF(result); // FIXME: what about sipTransferObj?
return result;
%End
};
typedef NumpyArray<4, vigra::UInt16> UInt16Array4D;
typedef NumpyArray<2, vigra::UInt32> UInt32Array2D;
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