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NOTE: the WWW: line in pkg-descr was relocated to a WWW= line in Makefile. Each port in FreshPorts has a homepage link. Look for it right after the Description: on each port's home page.

Do I know someone who can pick up a server from 7401 E. Ben White Blvd. Austin TX?

The emphasis is on know, or recommended by someone I know. This is the original FreshPorts server, way past useful: RAID, 8GB RAM, etc. The drives need to be wiped and everything recycled.
non port: textproc/dbacl/pkg-descr
SVNWeb

Number of commits found: 5

Wed, 7 Sep 2022
[ 21:58 Stefan E├čer (se) search for other commits by this committer ]    commit hash:fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4  commit hash:fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4  commit hash:fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4  fb16dfe  (Only the first 10 of 27964 ports in this commit are shown above. View all ports for this commit)
Remove WWW entries moved into port Makefiles

Commit b7f05445c00f has added WWW entries to port Makefiles based on
WWW: lines in pkg-descr files.

This commit removes the WWW: lines of moved-over URLs from these
pkg-descr files.

Approved by:		portmgr (tcberner)
Thu, 19 May 2016
[ 10:53 amdmi3 search for other commits by this committer ] Original commit   Revision:415500 (Only the first 10 of 853 ports in this commit are shown above. View all ports for this commit)
- Fix trailing whitespace in pkg-descrs, categories [p-x]*

Approved by:	portmgr blanket
Mon, 2 Mar 2015
[ 23:51 bapt search for other commits by this committer ] Original commit   Revision:380311 (Only the first 10 of 54 ports in this commit are shown above. View all ports for this commit)
Remove Author from pkg-descr and white space fixes
Fri, 28 Jun 2013
[ 03:54 clsung search for other commits by this committer ] Original commit   Revision:321938
- Update to 1.14.1
Fri, 31 Oct 2003
[ 12:46 sergei search for other commits by this committer ] Original commit 
Add dbacl 1.4, digramic Bayesian classifier.

dbacl is a digramic Bayesian text classifier. Given some text,
it calculates the posterior probabilities that the input resembles
one of any number of previously learned document collections.
It can be used to sort incoming email into arbitrary categories
such as spam, work, and play, or simply to distinguish an English text
from a French text. It fully supports international character sets,
and uses sophisticated statistical models based on the
Maximum Entropy Principle.

Author: Laird A. Breyer <laird@lbreyer.com>
WWW:    http://dbacl.sourceforge.net/

PR:             58733
Submitted by:   Cheng-Lung Sung <clsung@dragon2.net>

Number of commits found: 5