[Numpy-discussion] __array__struct__: about using PyCapsule instead of PyCObject for Python 2.7
Wed Jun 30 11:57:58 CDT 2010
On 30 June 2010 02:48, Charles R Harris <email@example.com> wrote:
> On Tue, Jun 29, 2010 at 8:21 PM, Lisandro Dalcin <firstname.lastname@example.org> 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?
Still, I think NumPy should still accept cobjects from extension types
on a Python 2.x runtime, the fix for this support is trival: accept
cobjects in NpyCapsule_Check() and NpyCapsule_AsVoidPtr() for
People can still live with PendingDeprecationWarning (remember, they
are shown if explicitly requested with -W), and such warning is
triggered when cobjects are created, not when they are accessed.
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