Following some corruption issue in my bayes database I have deleted all
the bayes* files and set about relearning.

This looks promising:

# /kolab/bin/sa-learn --dbpath /kolab/var/amavisd/.spamassassin  --ham
/kolab/var/imapd/spool/domain/e/example.com/s/shared^learn-ham
Learned tokens from 962 message(s) (963 message(s) examined)

but immediately afterwards I get this:

# /kolab/bin/sa-learn --dbpath /var/kolab/amavisd/.spamassassin --dump magic
netset: cannot include 127.0.0.1/32 as it has already been included
0.000          0          3          0  non-token data: bayes db version
0.000          0        321          0  non-token data: nspam
0.000          0          1          0  non-token data: nham
0.000          0      13493          0  non-token data: ntokens
0.000          0 1257931035          0  non-token data: oldest atime
0.000          0 1257932330          0  non-token data: newest atime
0.000          0 1257932333          0  non-token data: last journal
sync atime
0.000          0 1257931036          0  non-token data: last expiry atime
0.000          0          0          0  non-token data: last expire
atime delta
0.000          0          0          0  non-token data: last expire
reduction count

So what happened to the other 961 pieces of ham I've supposedly learnt
from? Or have I misunderstood what --dump magic returns? How do I get up
to the required 200 in these circumstances?

Ta

-- 
Chris