[Numpy-discussion] Wanted: new release manager for 1.5 and above
Dag Sverre Seljebotn
dagss at student.matnat.uio.no
Sat Jan 16 02:30:26 EST 2010
Charles R Harris wrote:
>
>
> On Fri, Jan 15, 2010 at 8:56 AM, David Cournapeau <cournape at gmail.com
> <mailto:cournape at gmail.com>> wrote:
>
> On Fri, Jan 15, 2010 at 11:46 PM, Ralf Gommers
> <ralf.gommers at googlemail.com <mailto:ralf.gommers at googlemail.com>>
> wrote:
> > Hi David,
> >
> > Here are some questions to get a clearer idea of exactly what's
> involved in
> > / required for making a release.
> >
> > On Thu, Jan 14, 2010 at 2:34 PM, David Cournapeau
> <david at silveregg.co.jp <mailto:david at silveregg.co.jp>>
> > wrote:
> >>
> >> Charles R Harris wrote:
> >>
> >> >
> >> >
> >> > What is the setup one needs to build the installers? It might
> be well to
> >> > document that, the dependencies, and the process.
> >>
> >> Right. The top script is:
> >> http://projects.scipy.org/numpy/browser/trunk/release.sh
> >>
> >> the bulk of the work is in :
> >> http://projects.scipy.org/numpy/browser/trunk/pavement.py
> >>
> >> which describes what is needed to build installers. On mac os x, the
> >> release script may be used as is to build every installer + the
> release
> >> notes.
> >>
> >
> > Is it necessary to have OS X to build the dmg installer, or could
> you build
> > that from linux with some modifications to the build script?
>
> You cannot cross compile python extensions, so you have to build
> installer on each platform. Mac Os X is the most practical because you
> can build windows installers under wine, so you can build both mac and
> windows installers from the same machine.
>
> The paver script + the shell script can build everything in one step
> thanks to this.
>
> >
> > How many combinations do you test manually? All supported Python
> versions on
> > all platforms? Several Linux flavors?
>
> I basically assume that linux works once the branch is stabilized, if
> only because that's what most developers use. It is important to test
> on the oldest supported python (2.4) and both 32 and 64 bits, though
> (especially python 2.4 on 64 bits).
>
> I never test the installers - this is too much work manually. Ideally,
> this should be done on a build/test farm.
>
> > For someone new to packaging, how much time would you estimate it
> takes to
> > do a single release? Is most of this time spent testing, or
> fixing the
> > problems you find during testing?
>
> Most of the time is spent on fixing build issues which crop up during
> the beta phase. I found difficult to enforce a strict policy on not
> changing anything unless critical once in the beta phase. I think we
> should improve things in that aspect, and go away from the "but this
> is a small fix" mentality - maybe using something like for the linux
> kernel, with merge windows, etc... I secretly hope that if we can
> regularly change release managers, it will give a sense of why this is
> good policy :)
>
> I feel that we have improved things quite a bit since I have started
> doing releases: the binary installers are more stable, and build are
> mostly automated now. The next step would be automated testing of the
> binary installers (in particular testing new numpy against scipy,
> etc...), but this is quite a bit of work.
>
> Having a stricter time-based policy would be good as well.
>
> > Do you have an idea about when to start preparing for the release
> of 1.4.1?
>
> The cython thing is the most problematic bug, and should be fixed
> ASAP. I am still not sure whether that would require both a numpy
> 1.4.1 and a scipy 0.7.1.1 (built against numpy 1.3.0).
>
>
> Speaking of the cython thing, do you know if the last release of cython
> (0.12) fixes that problem?
>
If you people referred to this "thing" in slightly more detail, I could
probably answer that :-)
(If you mean the problems with building a binary for more than one
version of NumPy at once, then no, I don't believe that is even fixed in
trunk yet, though it is trivial to do so its just to remember to do it
before 0.12.1.)
--
Dag Sverre
More information about the NumPy-Discussion
mailing list