---
If you are upgrading from rancid-<3, please note that router.db field
separator has been changed from ':' to ';' to avoid conflict with IPv6
addresses. Replace the field separator in router.db files before running
rancid.
The configuration files location is changed from /etc to /etc/rancid.
---
git commit a19567efa969835503823d6f6d193dcc83eb92ef:
Try to find best possible keyword for Kad search.
For example most user will search like this "The oxymoronaccelerator
2", which would ask the node which indexes "the". This causes higher
traffic for such nodes and makes them a viable target to attackers,
while the kad result should be the same or even better if we ask
the node which indexes the rare keyword "oxymoronaccelerator", so
we try to rearrange keywords and generally assume that the longer
keywords are rarer.
git commit 5cf7ef9a7dcff2776d9ebc8bb8337e7e3203e6ab:
Add a routine to set file name conversion for amuled, which is based
on wxAppConsole: fix sharing directories with non-ASCII names with
aMule daemon.
Port from Johan Huldtgren, ok sthen@
DESCR:
OpenDKIM is an implementation of DKIM (RFC 6376, Domain Keys Identified Mail),
an email sender authentication system. It consists of a library that implements
the DKIM service and a milter-based filter application that can plug in to any
milter-aware MTA to provide that service to sufficiently recent sendmail MTAs
and other MTAs that support the milter protocol.
Port from maintainer Senthil Kumar M with tweaks from sthen@ and I.
ok sthen@
HMMER is used for searching sequence databases for sequence homologs,
and for making sequence alignments. It implements methods using
probabilistic models called profile hidden Markov models (profile
HMMs). HMMER is designed to detect remote homologs as sensitively as
possible, relying on the strength of its underlying probability
models.
HMMER is often used together with a profile database, such as Pfam
or many of the databases that participate in Interpro. But HMMER
can also work with query sequences, not just profiles, just like
BLAST. For example, you can search a protein query sequence against
a database with phmmer, or do an iterative search with jackhmmer.
