On Wed, Jun 30, 2010 at 10:57 AM, Lisandro Dalcin <dalcinl@gmail.com> wrote:
On 30 June 2010 02:48, Charles R Harris <charlesr.harris@gmail.com> wrote:
On Tue, Jun 29, 2010 at 8:21 PM, Lisandro Dalcin <dalcinl@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