From a quick look, it seems like some of these (the masked array ones) are 
trivial enough to not warrant inclusion and the ctypes snippet is obvious 
enough that copyright claims won't be an issue. In terms of broader policy I 
don't really have much to say, except that in general it is probably hopeless 
to enforce a ban on AI generated content.

--- Rohit

On 7/4/24 4:59 AM, Loïc Estève via NumPy-Discussion 
<numpy-discussion@python.org> wrote:
Hi,

in scikit-learn, more of a FYI than some kind of policy (amongst other
things it does not even mention explicitly "AI" and avoids the licence
discussion), we recently added a note in our FAQ about "fully automated
tools":
https://github.com/scikit-learn/scikit-learn/pull/29287

 From my personal experience in scikit-learn, I am very skeptical about
the quality of this kind of contributions so far ... but you know future
may well prove me very wrong.

Cheers,
Loïc

> Hi,
>
> We recently got a set of well-labeled PRs containing (reviewed)
> AI-generated code:
>
> https://github.com/numpy/numpy/pull/26827
> https://github.com/numpy/numpy/pull/26828
> https://github.com/numpy/numpy/pull/26829
> https://github.com/numpy/numpy/pull/26830
> https://github.com/numpy/numpy/pull/26831
>
> Do we have a policy on AI-generated code?   It seems to me that
> AI-code in general must be a license risk, as the AI may well generate
> code that was derived from, for example, code with a GPL-license.
>
> Cheers,
>
> Matthew
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