I personally have had no success doing this, but the last time I tried was with a fairly old version of svn.
It gives an error message when you try. You then need to interpret the error message, retry, and it gives you another error message. You do this three times, and end up with the command line
cvs2svn -q --fs-type=fsfs --encoding=latin1 "--exclude=r16b1|cnri-16-start|descr-branch|release152p1-patches|after-call-reorg|r22a1|before-call-reorg|release16|r161|r161-branch|r16a2|release152p2" -s py.svn.new python
BTW, it looks like you just pulled in python/dist right? Did you pull in the trunk? What about nondist, or as Greg mentioned, distutils which is a sibling of the top-level python directory.
I posted the wrong URL. The right one is
http://www.dcl.hpi.uni-potsdam.de/python/
It has distutils right in
http://www.dcl.hpi.uni-potsdam.de/python/trunk/distutils/
Just curious - why did you choose fsfs instead of the BerkeleyDB backend?
I had hoped that it would consume less disk space - but I really should try with bdb again.
In our operational repositories, I have now migrated everything to fsfs because it is so much more friendly to backups. You can backup the on-disk state, and trust that is consistent. With bdb, you need to use hot-backup.py or some such, and this gives you an entire copy which then goes into all incremental backups. With fsfs, the incremental backups really pickup new commits only. (for the Python svn, it doesn't matter much, since that is excluded from backup, anyway)
Thanks for doing this Martin. I've heard that SF may be offering svn as early as May or June and I would love to see us convert when that's available.
So do I. However, I now believe that it is unlikely that SF will provide automatic conversion (or the automatic conversion will be useless/fail); instead, we likely need to provide our hand-tuned conversion.
I'll keep collecting issues/complaints about this specific conversion, and try to integrate them if I can.
Regards, Martin
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