Bug#616364: transition: python-numpy

2011-04-15 Thread Mehdi Dogguy

On 04/15/2011 01:57 AM, Jakub Wilk wrote:

All the involved packages (except nipy), has been successfully rebuilt.
nipy will have to be either forced into testing or removed.



Right. The set of packages involved seem to migrate with this set of hints:

remove nipy/0.1.2+20100526-2
age-days 5 python-scipy/0.9.0+dfsg1-1
age-days 5 python-numpy/1:1.5.1-2
age-days 5 brian/1.3.0-2
age-days 1 scikit-learn/0.7.1.dfsg-3
age-days 5 libtool/2.4-2
hint python-numpy/1:1.5.1-2

As you can see, it requires some big hammer to get libtool in testing, and
some aging for some other packages. Also, please note that guiqwt fails to
build from source on s390 [1], but it doesn't seem to be a requirement for
this transition.

[1] https://buildd.debian.org/status/package.php?p=guiqwt

Let's see.

Regards,

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Bug#616364: transition: python-numpy

2011-04-14 Thread Jakub Wilk

All the involved packages (except nipy), has been successfully rebuilt.
nipy will have to be either forced into testing or removed.

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Jakub Wilk



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Bug#616364: transition: python-numpy

2011-04-04 Thread Julien Cristau
On Sun, Apr  3, 2011 at 20:17:38 +0200, Sandro Tosi wrote:

 How long should we keep waiting?
 
From http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=616364:
Fix blocked by 616702: transition: libvigraimpex, 613207: python-sphinx:
please upload 1.x series into unstable, 611316: nipy: FTBFS: Some tests
fail

616702 was cleared last night.  What's the status of the other two?

Cheers,
Julien



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Bug#611316: Bug#616364: transition: python-numpy

2011-04-04 Thread Sandro Tosi
On Mon, Apr 4, 2011 at 10:20, Julien Cristau jcris...@debian.org wrote:
 On Sun, Apr  3, 2011 at 20:17:38 +0200, Sandro Tosi wrote:

 How long should we keep waiting?

 From http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=616364:
 Fix blocked by 616702: transition: libvigraimpex, 613207: python-sphinx:
 please upload 1.x series into unstable, 611316: nipy: FTBFS: Some tests
 fail

 616702 was cleared last night.  What's the status of the other two?

613207: sphinx will be uploaded along with numpy
611316: if it holds the transition, we can remove it from testing
until fixed (76 days RC bug, 58 popcon), but in any case: Yaroslav,
any news on that?

Regards,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi



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Bug#616364: transition: python-numpy

2011-04-04 Thread Julien Cristau
On Thu, Mar  3, 2011 at 21:48:07 +0100, Jakub Wilk wrote:

 Jakub kindly rebuilt these packages, successfully: brian h5py
 libvigraimpex magics++ mayavi2 nipy petsc4py plplot pygtk pytables
 python-scipy scikit-learn shogun .
 
 All of these (maybe except scikit-learn) will need binNMUs. I can
 schedule them myself if that's OK for you.
 
Slightly worried about petsc4py as petsc is FTBFS in sid, but hopefully
it'll be alright.  Assuming Jakub is going to take care of the binNMUs,
I think this can go ahead.

Cheers,
Julien



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Bug#616364: transition: python-numpy

2011-04-04 Thread Jakub Wilk

* Julien Cristau jcris...@debian.org, 2011-04-04, 11:27:
Jakub kindly rebuilt these packages, successfully: brian h5py 
libvigraimpex magics++ mayavi2 nipy petsc4py plplot pygtk pytables 
python-scipy scikit-learn shogun .


All of these (maybe except scikit-learn) will need binNMUs. I can 
schedule them myself if that's OK for you.


Slightly worried about petsc4py as petsc is FTBFS in sid, but hopefully 
it'll be alright.  Assuming Jakub is going to take care of the binNMUs, 
I think this can go ahead.


Thanks!

Could you please add it to the transition tracker? If I got the syntax 
right, it'd be:


is_affected = .build-depends ~ /python-numpy/;
is_good = .depends ~ /python-numpy \( 1:1\.6\)/;
is_bad = .depends ~ /python-numpy \( 1:1\.5\)/;

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Bug#611316: Bug#616364: transition: python-numpy

2011-04-04 Thread Yaroslav Halchenko

On Mon, 04 Apr 2011, Sandro Tosi wrote:
  616702 was cleared last night.  What's the status of the other two?
 611316: if it holds the transition, we can remove it from testing
 until fixed (76 days RC bug, 58 popcon), but in any case: Yaroslav,
 any news on that?

I believe that fresh upstream snapshot (which took nibabel out and we
have nibabel in wheezy already) should resolve the issue -- I will
check it out later on this week.

Feel free to remove from testing if it starts to hold the transition

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Bug#616364: transition: python-numpy

2011-04-03 Thread Sandro Tosi
How long should we keep waiting?

Regards,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi



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Bug#616364: transition: python-numpy

2011-03-03 Thread Jakub Wilk

Package: release.debian.org
Severity: normal
User: release.debian@packages.debian.org
Usertags: transition

* Sandro Tosi mo...@debian.org, 2011-02-28, 19:44:

Hi all,


(Let me turn this mail into a bug report.)

Jakub wants to upload new Sphinx to unstable, but in order to do that, 
we need also Numpy to go in, and so here it comes this email.


Numpy 1.5.1 was uploaded in experimental in late December and it
successfully built on every architecture, so the same should happen
now (modulo new gcc/ld).

Jakub kindly rebuilt these packages, successfully: brian h5py
libvigraimpex magics++ mayavi2 nipy petsc4py plplot pygtk pytables
python-scipy scikit-learn shogun .


All of these (maybe except scikit-learn) will need binNMUs. I can 
schedule them myself if that's OK for you.


scikit-learn currently FTBFS with python-sphinx = 1.0 (bug #588630, 
already fixed in experimental). I CCed this mail to scikit-learn 
maintainers.


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Jakub Wilk



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Bug#616364: transition: python-numpy

2011-03-03 Thread Yaroslav Halchenko

On Thu, 03 Mar 2011, Jakub Wilk wrote:
 Jakub kindly rebuilt these packages, successfully: brian h5py
 libvigraimpex magics++ mayavi2 nipy petsc4py plplot pygtk pytables
 python-scipy scikit-learn shogun .

 All of these (maybe except scikit-learn) will need binNMUs. I can
 schedule them myself if that's OK for you.

it is ok with me for brian nipy

 scikit-learn currently FTBFS with python-sphinx = 1.0 (bug #588630,
 already fixed in experimental). I CCed this mail to scikit-learn
 maintainers.

thanks -- very soon fresh upstream version of scikit-learn will come out
which will go into unstable directly, so FTBFS of current sid version
will not last too long ;) (or I could upload experimental version into
sid if upstream release gets delayed)

cheers

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Yaroslav Halchenko www.ohloh.net/accounts/yarikoptic



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