[Numpy-discussion] Addition of a dict object to all NumPy objects
Charles R Harris
Fri Aug 15 15:15:03 CDT 2008
On Fri, Aug 15, 2008 at 2:10 PM, Charles R Harris <email@example.com
> On Fri, Aug 15, 2008 at 1:58 PM, Travis E. Oliphant <
> firstname.lastname@example.org> wrote:
>> Hello all,
>> While we are on the subject of C-API changes, I've noticed that quite a
>> few of the sub-classes of ndarray are constructed to basically add
>> meta-information to the array.
>> What if the base-class ndarray grew a dict object at it's end to hold
>> meta information.
>> Naturally, several questions arise:
>> 1) How would you access the dictionary? (i.e. __dict__?)
>> 2) Would attribute setting and getting retrieve from this dictionary
>> (how are conflicts managed).
>> * I think I would prefer a dict attribute on the numpy array that
>> gets and sets into the dictionary.
>> 3) Are the additional 4-8 bytes too expensive
> One of the problems with numarray was the time taken to allocate small
> arrays. Would adding a dictionary slow down the allocation of numpy arrays?
That said, I think we should keep things as simple and orthogonal as
possible. If we go this way, I think a subclass with a dictionary would be
the best approach to avoid the heartbreak of creeping featuritis.
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