Date: Sun, 17 Jan 2016 18:13:36 +0000 (UTC) From: David Naylor <dbn@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r406524 - in head/mail/bayespam: . files Message-ID: <201601171813.u0HIDaSG016925@repo.freebsd.org>
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Author: dbn Date: Sun Jan 17 18:13:36 2016 New Revision: 406524 URL: https://svnweb.freebsd.org/changeset/ports/406524 Log: mail/bayespam: make fetchable Changes: - Change MASTER_SITE to BSDforge.org - Assign MAINTAINERship to reporter - Remove BROKEN - Add LICENSE of GPLv2 - Make portlint happy: - Capitalise start of COMMENT - Regenerate patches PR: 206043 Submitted by: Chris Hutchinson (portmaster@BSDforge.com) Approved by: portmgr (implicit: unmaintained port) MFH: 2016Q1 Modified: head/mail/bayespam/Makefile head/mail/bayespam/files/patch-bayes_process_email.pl head/mail/bayespam/files/patch-bayes_spam_check.pl head/mail/bayespam/pkg-descr Modified: head/mail/bayespam/Makefile ============================================================================== --- head/mail/bayespam/Makefile Sun Jan 17 18:13:17 2016 (r406523) +++ head/mail/bayespam/Makefile Sun Jan 17 18:13:36 2016 (r406524) @@ -5,13 +5,13 @@ PORTNAME= bayespam PORTVERSION= 0.9.2 PORTREVISION= 1 CATEGORIES= mail -MASTER_SITES= http://www.garyarnold.com/sites/default/files/ +MASTER_SITES= http://BSDforge.com/projects/source/mail/bayespam/ EXTRACT_SUFX= .tar_.gz -MAINTAINER= ports@FreeBSD.org -COMMENT= qmail spam filter written in Perl using Bayesian classification +MAINTAINER= portmaster@BSDforge.com +COMMENT= Qmail spam filter written in Perl using Bayesian classification -BROKEN= unfetchable +LICENSE= GPLv2 RUN_DEPENDS= p5-MIME-Tools>=0:${PORTSDIR}/mail/p5-MIME-Tools Modified: head/mail/bayespam/files/patch-bayes_process_email.pl ============================================================================== --- head/mail/bayespam/files/patch-bayes_process_email.pl Sun Jan 17 18:13:17 2016 (r406523) +++ head/mail/bayespam/files/patch-bayes_process_email.pl Sun Jan 17 18:13:36 2016 (r406524) @@ -1,6 +1,6 @@ ---- bayes_process_email.pl.orig Sun Sep 8 16:48:05 2002 -+++ bayes_process_email.pl Sun Sep 8 16:48:28 2002 -@@ -6,6 +6,7 @@ +--- bayes_process_email.pl.orig 2016-01-17 18:02:48 UTC ++++ bayes_process_email.pl +@@ -6,6 +6,7 @@ use MIME::Parser; use Fcntl; use DB_File; @@ -8,7 +8,7 @@ use Bayespam::Process; # -@@ -165,8 +166,6 @@ +@@ -165,8 +166,6 @@ untie( %token_ratings ); # dashes, and dollar signs -- words, in other words. sub ProcessDirectory { @@ -17,7 +17,7 @@ my $directory = shift(@_); local *number_of_messages = shift(@_); local *token_occurrences = shift(@_); -@@ -227,7 +226,6 @@ +@@ -227,7 +226,6 @@ sub ProcessDirectory # dashes, and dollar signs -- words, in other words. sub ProcessFile { Modified: head/mail/bayespam/files/patch-bayes_spam_check.pl ============================================================================== --- head/mail/bayespam/files/patch-bayes_spam_check.pl Sun Jan 17 18:13:17 2016 (r406523) +++ head/mail/bayespam/files/patch-bayes_spam_check.pl Sun Jan 17 18:13:36 2016 (r406524) @@ -1,6 +1,6 @@ ---- bayes_spam_check.pl.orig Sun Sep 8 17:06:34 2002 -+++ bayes_spam_check.pl Sun Sep 8 17:06:40 2002 -@@ -144,7 +144,7 @@ +--- bayes_spam_check.pl.orig 2016-01-17 18:02:48 UTC ++++ bayes_spam_check.pl +@@ -144,7 +144,7 @@ Given a corpus rating file and an email -h, --help : this (help) message -r, --rating : corpus rating file to use @@ -8,5 +8,4 @@ +example: $0 --rating bayes_rating.dat EOF --} -+} + } Modified: head/mail/bayespam/pkg-descr ============================================================================== --- head/mail/bayespam/pkg-descr Sun Jan 17 18:13:17 2016 (r406523) +++ head/mail/bayespam/pkg-descr Sun Jan 17 18:13:36 2016 (r406524) @@ -1,5 +1,3 @@ -[ excerpt from developer's site ] - Bayespam is a qmail spam filter written in Perl, using Bayesian classification to filter out unsolicited commercial email. It is written with ease of installation and use in mind, and it is @@ -12,4 +10,4 @@ for Spam. In this paper, Mr. Graham talk is working on that used Bayesian classification to determine if a particular piece of email is spam or not. -WWW: http://www.garyarnold.com/Bayespam +WWW: http://BSDforge.com/projects/mail/bayespam
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