Hi there,
I came across an interesting post on Miguel De Icaza's blog this
week-end:
http://tirania.org/blog/archive/2007/Jan-26.html
The build system used in opensuse is open sourced for a few weeks.
The basic idea is that it provides a build farm to build packages for
most major distributions, automatically, with automatic dependency
tracking for rebuilding a package when its dependencies changed, etc... [1]
My questions are:
- does it seem interesting to numpy developers ? My impression is
that binary distribution of numpy is a big problem for many linux users,
and that is entry barrier for many users (I may be wrong, that's just an
impression from the ML).
- the registration requires agreement from the open build
system's team for now. I would be interesting in trying this out, but I
didn't want to "proclaim" myself as a numpy developer without consent
from the numpy dev team.
cheers,
David
[1]I have not studied throughly, but the idea is:
- you submit the sources of your package + a description file
- you upload it to the build system
- the build systeme consists in a build farm to build binary
packages automatically for many distribution (including opensuse, Suse,
fedora, ubuntu and debian; the biggest distribution in term of
marketshare which are not there are slackware + gentoo, but I guess
users of those distribution would know enough to compile packages
themselves).
Besides the build farm, some advantages are:
- automatic rebuilding when one of the dependency changed (let's say
the fortran compiler changed in debian -> numpy which depends on it
would be rebuilt automatically)
- a system for mirroring.
The system is still in beta, and requires registration for trying it
as a developer.
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