Re: Bug#728797: ITP: python-mne -- Python modules for MEG and EEG data analysis
Hi Alexandre,
On Tue, Nov 05, 2013 at 05:52:29PM +0100, Alexandre Gramfort wrote:
> please have a look at our debian branch:
>
> https://github.com/mne-tools/mne-python/tree/debian
Looks good from quick view without doing an actual build. I have
attached a fix for the debian/watch file - the file in your repository
does not report anything when trying `uscan --verbose --report`.
> let me know if I can do anything.
Considering they are in the Uploaders field it seems you are just in
contact with Michael and Yaroslav which is not surprising because your
package is perfectly interesting for NeuroDebian as well. Just to let
you know about the relation between NeuroDebian and Debian Med: We are
naturally interested in a common set of packages but there is no point
in competing who maintains what. Some packages are maintained
technically by NeuroDebian team and some by Debian Med team but both
projects are including the packages in their tasks (which are kind of
categories in specific work fields - you can see the Debian Med tasks
here[0] and I guess mne-python would make a good fit into "practice").
(BTW, NeuroDebian is presenting their packages in a different way but we
are trying to make use of the same toolset in the future.)
The Debian Med team has some policy to define certain workflows in using
Git and this does not fit exactly to your preparation. Shortly speaking
we are only importing upstream release tarballs and adding a debian/
directory. I have seen in your debian/gbp.conf that you have done means
to copy with different branches and I guess you would like to keep this
workflow. From what I have heard from NeuroDebian people they have other
packages with a similar workflow which somehow would be a good reason
to let them take over the maintenance / sponsoring. Michael, Yaroslav:
Any comment?
In any case it has several advantages to at least maintain a clone in
one of our repositories at git.debian.org because we have some tools
browsing the repositories and doing some general analysis over the
VCS status. It would be good if we could do this also for mne-python
but the NeuroDebian people might have the last word in case they agree
that they take over the package. In any case it would be really
interesting to describe the workflow they are using in some kind of
policy document. In case this sounds convincing we could take over
this into Debian Med policy[1].
> Our official 0.7 release should be in the next couple of weeks.
> It would be great to have it then in debian.
I do not see any general problem here, except that you need to remember
that new packages can only go to unstable / testing and if you want to
have the package in Debian stable you need to wait for the next release
(Jessie, Debian 8).
Kind regards
Andreas.
[0] http://debian-med.alioth.debian.org/tasks/
[ leaving full quote for NeuroDebian team list ... ]
> On Tue, Nov 5, 2013 at 5:03 PM, Andreas Tille <andreas@an3as.eu> wrote:
> > Hi Alexandre,
> >
> > thanks for your ITP which is very interesting for Debian Med. We would
> > be really happy if you would maintain this package in the Debian Med
> > team. The procedure to do so is described in our team policy[1].
> >
> > Please do not hesitate to contact us via our (see CC) mailing list if
> > something might remain unclear.
> >
> > Kind regards
> >
> > Andreas.
> >
> >
> > [1] http://debian-med.alioth.debian.org/docs/policy.html
> >
> > On Tue, Nov 05, 2013 at 04:38:42PM +0100, Alexandre Gramfort wrote:
> >> Package: wnpp
> >> Severity: wishlist
> >> Owner: Alexandre Gramfort <alexandre.gramfort@m4x.org>
> >>
> >> * Package name : python-mne
> >> Version : 0.7.git
> >> Upstream Author : Alexandre Gramfort <alexandre.gramfort@m4x.org>
> >> * URL : https://github.com/mne-tools/mne-python
> >> * License : BSD
> >> Programming Lang: Python
> >> Description : Python modules for MEG and EEG data analysis
> >>
> >> This package is designed for sensor- and source-space analysis of MEG and EEG
> >> data, including frequency-domain and time-frequency analyses and
> >> non-parametric statistics.
> >>
> >>
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> >>
> >
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