On Sat, Feb 18, 2012 at 9:38 PM, Travis Oliphant <tra...@continuum.io>wrote:

>
> The decision will not be made until NumPy 2.0 work is farther along.
> The most likely outcome is that Mark will develop something quite nice in
> C++ which he is already toying with, and we will either choose to use it in
> NumPy to build 2.0 on --- or not.   I'm interested in sponsoring Mark and
> working as closely as I can with he and Chuck to see what emerges.
>
>
> Would it be fair to say then, that you are expecting the discussion
> about C++ will mainly arise after the Mark has written the code?   I
> can see that it will be easier to specific at that point, but there
> must be a serious risk that it will be too late to seriously consider
> an alternative approach.
>
>
> We will need to see examples of what Mark is talking about and clarify
> some of the compiler issues.   Certainly there is some risk that once code
> is written that it will be tempting to just use it.   Other approaches are
> certainly worth exploring in the mean-time, but C++ has some strong
> arguments for it.
>
>
> Can you say a little more about your impression of the previous Cython
>
> refactor and why it was not successful?
>
>
>
> Sure.  This list actually deserves a long writeup about that.   First,
> there wasn't a "Cython-refactor" of NumPy.   There was a Cython-refactor of
> SciPy.   I'm not sure of it's current status.   I'm still very supportive
> of that sort of thing.
>
>
> I think I missed that - is it on git somewhere?
>
>
> I thought so, but I can't find it either.  We should ask Jason McCampbell
> of Enthought where the code is located.   Here are the distributed eggs:
> http://www.enthought.com/repo/.iron/
>

Refactor is with the other numpy repos
here<https://github.com/numpy/numpy-refactor>.


Chuck
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