> On Thu, Jun 12, 2008 at 2:54 PM, Nils Wagner > <[EMAIL PROTECTED]> wrote: > >> src/ft2font.cpp: In member function 'Py::Object FT2Image::py_as_array(const >> Py::Tuple&)': >> src/ft2font.cpp:273: error: cannot convert 'int*' to 'npy_intp*' in argument >> passing >> error: command 'gcc' failed with exit status 1
Hmm, I had tried to use PyArray_SimpleNewFromData with an 'int dimensions[2]' array, which worked on numpy 1.1 but apparently breaks in the latest numpy svn. Since I am unsure what is the most portable thing to do here, I reverted to a pattern that we've used elsewhere that appears robust across numpy versions (included below). If any numpy god wants to tell me the right way to create and array from an existing buffer, let me know. Fixed in svn 5495 int dimensions[2]; dimensions[0] = get_height(); //numrows dimensions[1] = get_width(); //numcols //this is breaking with numpy svn, which wants a npy_intp* //PyArrayObject *A = (PyArrayObject *) PyArray_SimpleNewFromData(2, dimensions, PyArray_UBYTE, _buffer); PS: please keep all replies on list. PyArrayObject *A = (PyArrayObject *) PyArray_FromDims(2, dimensions, PyArray_UBYTE); unsigned char *src = _buffer; unsigned char *src_end = src + (dimensions[0] * dimensions[1]); unsigned char *dst = (unsigned char *)A->data; while (src != src_end) { *dst++ = *src++; } PS: please keep all replies on list ------------------------------------------------------------------------- Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel