neat you made me think about creating a little helper around debootstrap so you could have something like
env: NEURODEBIAN_DISTRO = sid NEURODEBIAN_DISTRO = sid-i386 NEURODEBIAN_DISTRO = precise NEURODEBIAN_DISTRO = saucy before_install: sudo nddebootstrap $NEURODEBIAN_DISTRO and where/when needed to have things executed in that environment schroot -c $NEURODEBIAN_DISTRO ... thus allowing to sweep through different Debian and Ubuntu releases on travis... I wonder if its gods wouldn't get upset with a bit increased bandwidth/cpu consumption ;) On Fri, 25 Oct 2013, Gael Varoquaux wrote: > I just implemented multiple build environment on travis for the nilearn > project (I am at brainhack right now, hacking on nilearn): > https://travis-ci.org/nilearn/nilearn > I thought that the pattern might be useful for scikit-learn: > https://github.com/nilearn/nilearn/blob/master/.travis.yml > In particular, using neurodebian might be an easy way to have different > versions of scipy and numpy for scikit-learn. > Thoughts? > Gaël > ------------------------------------------------------------------------------ > October Webinars: Code for Performance > Free Intel webinars can help you accelerate application performance. > Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from > the latest Intel processors and coprocessors. See abstracts and register > > http://pubads.g.doubleclick.net/gampad/clk?id=60135991&iu=/4140/ostg.clktrk > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general -- Yaroslav O. Halchenko, Ph.D. http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org Senior Research Associate, Psychological and Brain Sciences Dept. Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 WWW: http://www.linkedin.com/in/yarik ------------------------------------------------------------------------------ October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register > http://pubads.g.doubleclick.net/gampad/clk?id=60135991&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
