Bug#1027244: scikit-learn Re: Are we still trying to do scipy 1.10, given transition freeze?

2023-02-07 Thread Andreas Tille
Am Tue, Feb 07, 2023 at 09:05:28AM +0100 schrieb Drew Parsons:
> On 2023-02-07 08:33, Graham Inggs wrote:
> > Hi Drew
> > 
> > I think python3-scipy should declare a Breaks on python3-skbio less
> > than the version in unstable (0.5.8-3).
> > This should sort out the autopkgtest regressions of emperor,
> > python-skbio itself, q2-metadata and q2-quality-control, which are all
> > passing in unstable, and allow scipy and python-skbio to migrate
> > together.
> 
> Ok, I'll add that with the gammapy patch.

Thanks a lot.
 
> > Python-cooler seems to have a different failure, and I don't see a bug
> > filed for it.
> 
> cooler seems to be fixed in experimental, I guess it just needs to be
> uploaded to unstable.

I'll do so

Thanks for the hint

 Andreas. 

-- 
http://fam-tille.de



Bug#1027244: scikit-learn Re: Are we still trying to do scipy 1.10, given transition freeze?

2023-02-07 Thread Drew Parsons

On 2023-02-07 08:33, Graham Inggs wrote:

Hi Drew

I think python3-scipy should declare a Breaks on python3-skbio less
than the version in unstable (0.5.8-3).
This should sort out the autopkgtest regressions of emperor,
python-skbio itself, q2-metadata and q2-quality-control, which are all
passing in unstable, and allow scipy and python-skbio to migrate
together.


Ok, I'll add that with the gammapy patch.



Python-cooler seems to have a different failure, and I don't see a bug
filed for it.


cooler seems to be fixed in experimental, I guess it just needs to be 
uploaded to unstable.


Drew



Bug#1027244: scikit-learn Re: Are we still trying to do scipy 1.10, given transition freeze?

2023-02-06 Thread Graham Inggs
Hi Drew

I think python3-scipy should declare a Breaks on python3-skbio less
than the version in unstable (0.5.8-3).
This should sort out the autopkgtest regressions of emperor,
python-skbio itself, q2-metadata and q2-quality-control, which are all
passing in unstable, and allow scipy and python-skbio to migrate
together.

Python-cooler seems to have a different failure, and I don't see a bug
filed for it.

Regards
Graham



Bug#1027244: scikit-learn Re: Are we still trying to do scipy 1.10, given transition freeze?

2023-01-29 Thread Drew Parsons

On 2023-01-27 10:25, Andreas Tille wrote:


   
https://qa.debian.org/excuses.php?experimental=1=scikit-learn


scikit-learn looks like it should manageable.

I've uploaded scipy 1.10 to unstable now.

Drew



Bug#1027244: scikit-learn Re: Are we still trying to do scipy 1.10, given transition freeze?

2023-01-27 Thread Andreas Tille
Am Thu, Jan 26, 2023 at 07:51:23PM + schrieb Rebecca N. Palmer:
> Control: tags 1029701 fixed-upstream
> 
> Full log: 
> https://ci.debian.net/data/autopkgtest/unstable/amd64/s/scikit-learn/30693526/log.gz
> 
> There appear to be at least 2 separate failures here, both known and
> probably fixed upstream.  So yes, 'new upstream version' is the first thing
> to try, but we'll need to check what _that_ breaks.

Sure.  Thus I uploaded to experimental first.  I hope we can get
some enlightenment from

   https://qa.debian.org/excuses.php?experimental=1=scikit-learn

soon (at the time of writing this is empty since the package was
just uploaded).  At least autopkgtest is passing.  I'll check
Debian Med related packages manually later.

Kind regards
Andreas.
 
> https://github.com/scikit-learn/scikit-learn/issues/23626
> https://github.com/scikit-learn/scikit-learn/issues/24424

-- 
http://fam-tille.de



Bug#1027244: scikit-learn Re: Are we still trying to do scipy 1.10, given transition freeze?

2023-01-26 Thread Rebecca N. Palmer

Control: tags 1029701 fixed-upstream

Full log: 
https://ci.debian.net/data/autopkgtest/unstable/amd64/s/scikit-learn/30693526/log.gz


There appear to be at least 2 separate failures here, both known and 
probably fixed upstream.  So yes, 'new upstream version' is the first 
thing to try, but we'll need to check what _that_ breaks.


https://github.com/scikit-learn/scikit-learn/issues/23626
https://github.com/scikit-learn/scikit-learn/issues/24424