Re: [oe] Upstream scipy recipe to meta-openembedded

["Gregory Anders" <greg@gpanders.com>]

On Tue, 13 Jul 2021 11:46 +0100, Jack Mitchell wrote:
>On 13/07/2021 11:20, Zoltan Boszormenyi via lists.openembedded.org wrote:
>>
>> FYI, there's another layer
>> (https://github.com/tuxable-ltd/meta-scikit-learn that
>> I had to fork and make hardknott-compatible) that uses python3-scipy as
>> a build
>> and runtime dependency for python3-scikit-learn so import
>> sklearn.linear_model"
>> is possible. That layer also extends python3-scipy with a native build
>> variant
>> which doesn't exist in your layer AND patches lapack further to use
>> openblas.
>
>Yes, that would be my layer. I had never intended to upstream the
>scikit-learn portions as I don't believe it is maintainable in a generic
>layer due to the niche use-cases and awkwardness of the build system
>itself and it's dependencies, in addition to the very large build time
>which would put strain on auto-builders.
>
>What I had intended to do though, which I haven't got round to yet is
>try to provide a virtual provider for blas/cblas in meta-oe which would
>allow openblas to be properly upstreamed and then packageconfigs and
>preferred versions used for selection as distro policy.
>

Thanks, I wasn't aware of this project. And it looks like you actually 
sent a PR to my meta-scipy layer at one point, so thank you!

Jack, would you mind if I simply directed people from my meta-scipy 
repository to your meta-scikit-learn layer? I am no longer using scipy 
in OE so maintaining this layer (e.g. testing contributions and updating 
for new versions) is falling behind.

If not then that is totally fine, I will just add a call for a new 
maintainer.

Thanks,

Greg