On Wed, Jun 30, 2010 at 10:57 AM, Lisandro Dalcin <dalc...@gmail.com> wrote:
> On 30 June 2010 02:48, Charles R Harris <charlesr.har...@gmail.com> wrote: > > > > > > On Tue, Jun 29, 2010 at 8:21 PM, Lisandro Dalcin <dalc...@gmail.com> > wrote: > >> > >> Do we really need this for NumPy 2? What about using the old PyCObject > >> for all Py 2.x versions? If this is not done, perhaps NumPy 2 on top > >> of Py 2.x should still accept the __array_struct__ being a PyCObject? > >> > >> As reference, Cython still uses PyCObject for Py<3.1 > >> http://hg.cython.org/cython-devel/rev/8a58f1544bd8#l1.33 . > >> > > > > Blame the Python 2.7 developers, those suckers deprecated the PyCObject. > > > > Oh! Sorry! Now I realize that! > > > Grrr... I didn't see the point, myself, I'm tempted to deprecate 2.7 just > to > > get even. There are some routines in the numpy/core/src includes that you > > might want to copy, they will allow you to use a common interface for > > PyCObject and PyCapsule if you need to do that. > > > > I've already fixed my code for PyCapsule. What's not clear to me is > how to build (i.e, use the old cobject or the new capsules) > __array_struct__ across NumPy and Python versions combinations. Will > NumPy 1.x series ever support Python 2.7? In such case, should I use > cobjects or capsules? > > We do support 2.7, but with PyCapsule. You might want to take a look at f2py also, as it also uses PyCapsule for Python >= 2.7. <snip> Chuck
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