[Numpy-discussion] suggestion for generalizing numpy functions

Darren Dale dsdale24@gmail....
Thu Jul 23 11:54:45 CDT 2009


On Tue, Jul 21, 2009 at 10:11 AM, Darren Dale<dsdale24@gmail.com> wrote:
> On Tue, Jul 21, 2009 at 7:44 AM, Darren Dale<dsdale24@gmail.com> wrote:
>> 2009/7/20 Stéfan van der Walt <stefan@sun.ac.za>:
>>> Hi Chuck
>>>
>>> 2009/7/17 Charles R Harris <charlesr.harris@gmail.com>:
>>>> PyObject* PyTuple_GetItem(PyObject *p, Py_ssize_t pos)
>>>> Return value: Borrowed reference.
>>>> Return the object at position pos in the tuple pointed to by p. If pos is
>>>> out of bounds, return NULL and sets an IndexError exception. It's a borrowed
>>>> reference so you need to call Py_INCREF on it. I find this Python C-API
>>>> documentation useful.
>>>
>>> Have you had a look over the rest of the code?  I think this would
>>> make a good addition.  Travis mentioned Contexts for doing something
>>> similar, but I don't know enough about that concept to compare the
>>> two.
>>
>> I think contexts would be very different from what is already in
>> place. For now, it would be nice to make this one small improvement to
>> the existing ufunc infrastructure, and maybe consider contexts (which
>> I still don't understand) at a later time. I have improved the code
>> slightly and added a few tests, and will post a new patch later this
>> morning. I just need to add some documentation.
>
> Here is a better patch, which includes a few additional tests and adds
> some documentation. It also attempts to improve the docstring and
> sphinx docs for __array_wrap__, which may have been a little bit
> misleading. There is also some whitespace cleanup in a few places.
> Would someone please review my work and commit the patch if it is
> acceptable? Pierre or Travis, would either of you have a chance to
> look over the implementation and the documentation changes, since you
> two seem to be most familiar with ufuncs and subclassing ndarray?

It looks like part of my patch has been clobbered by changes
introduced in svn 7184-7191. What else should I be doing so a patch
like this can be committed relatively quickly?

Darren


More information about the NumPy-Discussion mailing list