           SPELL=dspam
if [[ $DSPAM_BRANCH == scm ]]; then
  if [[ $DSPAM_SCM_AUTO == y ]]; then
         VERSION=$(date +%Y%m%d)
  else
         VERSION=scm
  fi
          SOURCE="${SPELL}-scm.tar.bz2"
   SOURCE_URL[0]=git://dspam.git.sourceforge.net/gitroot/dspam/dspam:dspam-scm
   SOURCE_IGNORE=volatile
  FORCE_DOWNLOAD=on
SOURCE_DIRECTORY="$BUILD_DIRECTORY/$SPELL-scm"
#elif [[ $DSPAM_BRANCH == devel ]]; then
#         VERSION=3.9.1-RC1
#          SOURCE="${SPELL}-${VERSION}.tar.gz"
#   SOURCE_URL[0]=http://downloads.sourceforge.net/sourceforge/$SPELL/$SOURCE
#     SOURCE_HASH=sha512:fd70938b3ef368fbfb992921a596972dc665ce9c6869ca362274c4bd02174fbfd3419438f63c1cdef06167fcde1ceea30fe359228642010bef4d77036e6bcf2f
#SOURCE_DIRECTORY="$BUILD_DIRECTORY/$SPELL-$VERSION"
else
         VERSION=3.10.2
          SOURCE="${SPELL}-${VERSION}.tar.gz"
         SOURCE2=$SOURCE.asc
   SOURCE_URL[0]=http://downloads.sourceforge.net/sourceforge/$SPELL/$SOURCE
  SOURCE2_URL[0]=$SOURCE_URL.asc
      SOURCE_GPG=dspam.gpg:$SOURCE2:UPSTREAM_KEY
  SOURCE2_IGNORE=signature
SOURCE_DIRECTORY="$BUILD_DIRECTORY/$SPELL-$VERSION"
fi
        WEB_SITE="http://dspam.sourceforge.net/"
            DOCS="$DOCS RELEASE.NOTES UPGRADING"
      LICENSE[0]='AGPL'
        KEYWORDS="email mail spam filter"
           SHORT='server-side anti-spam agent for UNIX email servers'
cat << EOF
DSPAM is a scalable and open-source content-based spam filter designed for
multi-user enterprise systems. On a properly configured system, many users
experience results between 99.5% - 99.95%, or one error for every 200 to 2000
messages. DSPAM supports many different MTAs and can also be deployed as a
stand-alone SMTP appliance. For developers, the DSPAM core engine (libdspam)
can
be easily incorporated directly into applications for drop-in filtering (GPL
applies; commercial licenses are also available).

DSPAM has been implemented on many large and small scale systems with
the largest
being reported at about 350,000 mailboxes. It is presently being used
or planned
for use in multiple commercial solutions.

DSPAM is an adaptive filter which means it is capable of learning and
adapting to
each user's email. Instead of working off of a list of "rules" to identify
spam,
DSPAM's probabilistic engine examines the content of each message and
learns what
type of content the user deems as spam (or nonspam). This approach to
machine-learning provides much higher levels of accuracy than commercial
"hodge-podge" solutions, and with minimal resources. DSPAM's best recorded
levels
of accuracy have included 99.991% by one avid user (2 errors in 22,786)
and 99.987%
by the author (1 error in 7000), which is ten times more accurate than a
human being!
EOF
