On Jan 5, 2008 1:30 AM, Charles R Harris <[EMAIL PROTECTED]> wrote: > > I like Mercurial and use it a lot, but I'm not convinced we have enough > developers and code to justify the pain of changing the VCS at this time.
I don't understand the number of developers argument: on most of the projects I am working on, I am the only developer, and I much prefer bzr to svn, although for reasons which are not really relevant to a project like numpy/scipy. > SVN g!enerally works well and has good support on Windows through tortoise. That's where I don't agree: I don't think svn works really well. As long as you use it as an history backup, it works ok, but that's it. The non functional merge makes branching almost useless, reverting back in time is extremely cumbersome, > Mercurial also has tortoise support these days, but I haven't ever used it > and can't comment on it. In fact, I've never even used Mercurial on windows, > perhaps someone can relate their experiences with it. I suppose a shift > might be justified if there is a lot of branch merging and such in our > future. Anyone know what folks are working in branches? Well, I started this discussion because of the scikits discussion. A typical use of branches is for sandboxes: it makes a lot of sense to use branches instead of sandboxes. Also, when branching actually works, you really start using many branches: I do it all the time on all my projects, and I am the only developer on most of them. It means that you commit smaller changes (because comitting does not mean makeing your changes available to the trunk), and instead of submitting one big changeset, you actually submit a serie of small changes. This really makes a big difference IMHO. Also, things like log, blame are actually usable, since they are much faster on DVCS. For something like scipy (less for numpy), where many people develop different things, I think it really makes a lot of sense to use a DVCS. I actually think scipy to be more distributed in nature than many open source projects (again, this is much less true for numpy, IMHO). David _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
