Path: utzoo!attcan!uunet!cs.utexas.edu!rutgers!jarvis.csri.toronto.edu!neat.ai.toronto.edu!lamy
From: lamy@ai.utoronto.ca (Jean-Francois Lamy)
Newsgroups: news.software.b
Subject: C news available for anonymous ftp
Message-ID: <89Jun10.075454edt.11745@neat.ai.toronto.edu>
Date: 10 Jun 89 11:54:40 GMT
Organization: Department of Computer Science, University of Toronto
Lines: 33

available for anonymous FTP on neat.ai.toronto.edu (128.100.1.65)
(login: anonymous, password guest):

-r--r--r--  1 root       380319 Jun 10 07:10 cnews.Z
-rw-r--r--  1 root        20024 Jun 10 07:13 nntp.1.5.5.Cdiffs
-rw-r--r--  1 root       208921 Jun  8 13:51 nntp.1.5.5.tar.Z

Please remember to use binary mode.  Please refrain from FTPing during weekday
afternoons (EST).  This announcement primarily aimed at Canadian sites,
especially those on ONET.  Otherwise you have to go through the single link
from ONET to NSFNET to get it from us.

cnews.Z is a verbatim copy of the Official C News Release.  It is in shar
format (you uncompress and feed it to sh).  We have no responsability
whatsoever over the contents (it magically appeared in our uucp directory :-)

nntp.1.5.5.Cdiffs contains diffs to nntp 1.5.5 (the latest official release)
to make it work with C news.   You need nntp 1.5.5 (nntp.1.5.5.tar.Z contains
nntp 1.5 with all 5 official patch sets applied).  cd to your nntp source
directory, unshar the Cdiffs file there to create server/batch.c and
and apply Cnews.diff by saying "patch -p < Cnews.diff".  The patches for
Cnews are in the Cnews release; I intend to keep nntp*Cdiffs current in
respect to new releases of NNTP (note I did not say "I promise").

The news server around here is running the beta release of a few days ago in
full production mode (we ran pre-alpha and alpha for 2 years before that).
Our main feeds are via NNTP and UUCP, and we feed sites using NNTP,UUCP and
mail.  It all works on a Sun 3/180 server with workstation where 706
newsgroups are accessed over NFS by over 160 machines (some of them are large
multi-user boxes).

Jean-Francois Lamy               lamy@ai.utoronto.ca, uunet!ai.utoronto.ca!lamy
AI Group, Department of Computer Science, University of Toronto, Canada M5S 1A4