[Numpy-discussion] ANN: numpy.i - added managed deallocation to ARGOUTVIEW_ARRAY1 (ARGOUTVIEWM_ARRAY1)

Egor Zindy ezindy@gmail....
Mon Dec 8 06:55:02 CST 2008


Hello list,

just a quick follow-up on the managed deallocation. This is what I've 
done this week-end:

In numpy.i, I have redefined the import_array() function to also take 
care of the managed memory initialisation (the _MyDeallocType.tp_new = 
PyType_GenericNew; statement). This means that in %init(), the only call 
is to import_array(). Basically, the same as with the "normal" numpy.i. 
Only difference in a swig file (.i) between "unmanaged" and "managed" 
memory allocation is the use of either the ARGOUTVIEW_ARRAY or 
ARGOUTVIEWM_ARRAY fragments. Everything else is hidden.

In numpy.i, this is what's now happening (my previous attempts were a 
bit clumsy):

%#undef import_array
%#define import_array() {if (_import_array() < 0) {PyErr_Print(); 
PyErr_SetString(PyExc_ImportError, "numpy.core.multiarray failed to 
import"); return; }; _MyDeallocType.tp_new = PyType_GenericNew; if 
(PyType_Ready(&_MyDeallocType) < 0) {PyErr_Print(); 
PyErr_SetString(PyExc_ImportError, "Custom memory management failed to 
initialize (numpy.i)"); return; }  }

%#undef import_array1
%#define import_array1(ret) {if (_import_array() < 0) {PyErr_Print(); 
PyErr_SetString(PyExc_ImportError, "numpy.core.multiarray failed to 
import"); return ret; }; _MyDeallocType.tp_new = PyType_GenericNew; if 
(PyType_Ready(&_MyDeallocType) < 0) {PyErr_Print(); 
PyErr_SetString(PyExc_ImportError, "Custom memory management failed to 
initialize (numpy.i)"); return ret; }  }

%#undef import_array2
%#define import_array2(msg, ret) {if (_import_array() < 0) 
{PyErr_Print(); PyErr_SetString(PyExc_ImportError, msg); return ret; }; 
_MyDeallocType.tp_new = PyType_GenericNew; if 
(PyType_Ready(&_MyDeallocType) < 0) {PyErr_Print(); 
PyErr_SetString(PyExc_ImportError, msg); return ret; } }

My wiki (sorry, haven't moved it to the scipy cookbook yet) has all the 
details (the modified numpy.i, explanations, and some test code):
http://code.google.com/p/ezwidgets/wiki/NumpyManagedMemory

Regards,
Egor



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