I've been wishing we'd stop shipping Accelerate for years, because of
how it breaks multiprocessing – that doesn't seem to be on your list
yet.

On Sat, Jul 22, 2017 at 3:50 AM, Ilhan Polat <ilhanpolat@gmail.com> wrote:
> A few months ago, I had the innocent intention to wrap LDLt decomposition
> routines of LAPACK into SciPy but then I am made aware that the minimum
> required version of LAPACK/BLAS was due to Accelerate framework. Since then
> I've been following the core SciPy team and others' discussion on this
> issue.
>
> We have been exchanging opinions for quite a while now within various SciPy
> issues and PRs about the ever-increasing Accelerate-related issues and I've
> compiled a brief summary about the ongoing discussions to reduce the
> clutter.
>
> First, I would like to kindly invite everyone to contribute and sharpen the
> cases presented here
>
> https://github.com/scipy/scipy/wiki/Dropping-support-for-Accelerate
>
> The reason I specifically wanted to post this also in NumPy mailing list is
> to probe for the situation from the NumPy-Accelerate perspective. Is there
> any NumPy specific problem that would indirectly effect SciPy should the
> support for Accelerate is dropped?
>
>
>
>

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--
Nathaniel J. Smith -- https://vorpus.org
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