ports/159034: [NEW PORT] lang/p5-Bot-Training: Plain text training material for bots like Hailo and MegaHAL
milki
milki at rescomp.berkeley.edu
Tue Jul 19 15:10:06 UTC 2011
>Number: 159034
>Category: ports
>Synopsis: [NEW PORT] lang/p5-Bot-Training: Plain text training material for bots like Hailo and MegaHAL
>Confidential: no
>Severity: non-critical
>Priority: low
>Responsible: freebsd-ports-bugs
>State: open
>Quarter:
>Keywords:
>Date-Required:
>Class: change-request
>Submitter-Id: current-users
>Arrival-Date: Tue Jul 19 15:10:05 UTC 2011
>Closed-Date:
>Last-Modified:
>Originator: milki
>Release: FreeBSD 8.2-RELEASE amd64
>Organization:
UC Berkeley - RSSP-IT
>Environment:
System: FreeBSD cibo.ircmylife.com 8.2-RELEASE FreeBSD 8.2-RELEASE #0: Thu Feb 17 02:41:51 UTC 2011
>Description:
Markov bots like Hailo and AI::MegaHAL are fun. But to get them working you
either need to train them on existing training material or make your own.
Bot::Training provides a pluggable way to install already existing training
files via the CPAN. Bot::Training also comes with a command-line interface
called bot-training.
WWW: http://search.cpan.org/dist/Bot-Training/
Generated with FreeBSD Port Tools 0.99
>How-To-Repeat:
>Fix:
--- p5-Bot-Training-0.04.shar begins here ---
# This is a shell archive. Save it in a file, remove anything before
# this line, and then unpack it by entering "sh file". Note, it may
# create directories; files and directories will be owned by you and
# have default permissions.
#
# This archive contains:
#
# p5-Bot-Training
# p5-Bot-Training/Makefile
# p5-Bot-Training/distinfo
# p5-Bot-Training/pkg-descr
# p5-Bot-Training/pkg-plist
#
echo c - p5-Bot-Training
mkdir -p p5-Bot-Training > /dev/null 2>&1
echo x - p5-Bot-Training/Makefile
sed 's/^X//' >p5-Bot-Training/Makefile << '951e27f0ec93eb9aebfb0d13a3948a14'
X# New ports collection makefile for: Bot-Training
X# Date created: 2011-07-19
X# Whom: milki <milki at rescomp.berkeley.edu>
X#
X# $FreeBSD$
X#
X
XPORTNAME= Bot-Training
XPORTVERSION= 0.04
XCATEGORIES= lang perl5
XMASTER_SITES= CPAN
XMASTER_SITE_SUBDIR= CPAN:AVAR
XPKGNAMEPREFIX= p5-
X
XMAINTAINER= milki at rescomp.berkeley.edu
XCOMMENT= Plain text training material for bots like Hailo and MegaHAL
X
XLICENSE= ART10 GPLv1
XLICENSE_COMB= dual
X
XRUN_DEPENDS= p5-Any-Moose>=0:${PORTSDIR}/devel/p5-Any-Moose \
X p5-Dir-Self>=0:${PORTSDIR}/devel/p5-Dir-Self \
X p5-File-ShareDir>=0:${PORTSDIR}/devel/p5-File-ShareDir \
X p5-File-Slurp>=0:${PORTSDIR}/devel/p5-File-Slurp \
X p5-Module-Pluggable>=0:${PORTSDIR}/devel/p5-Module-Pluggable \
X p5-Moose>=0.82:${PORTSDIR}/devel/p5-Moose \
X p5-MooseX-Getopt>=0:${PORTSDIR}/devel/p5-MooseX-Getopt \
X p5-Mouse>=0:${PORTSDIR}/devel/p5-Mouse \
X p5-MouseX-Getopt>=0:${PORTSDIR}/devel/p5-MouseX-Getopt \
X p5-autodie>=0:${PORTSDIR}/devel/p5-autodie \
X p5-namespace-clean>=0:${PORTSDIR}/devel/p5-namespace-clean
X
XPERL_CONFIGURE= 5.10.0+
X
XMAN1= bot-training.1
X
XMAN3= Bot::Training.3
X
X.include <bsd.port.mk>
951e27f0ec93eb9aebfb0d13a3948a14
echo x - p5-Bot-Training/distinfo
sed 's/^X//' >p5-Bot-Training/distinfo << '5a2e0de6266ef5012d3ed175c3f21f76'
XSHA256 (Bot-Training-0.04.tar.gz) = 462f36e577828f23b90251f39e1ca7b8cab11e48a57353b1f66b612698d78bed
XSIZE (Bot-Training-0.04.tar.gz) = 12571
5a2e0de6266ef5012d3ed175c3f21f76
echo x - p5-Bot-Training/pkg-descr
sed 's/^X//' >p5-Bot-Training/pkg-descr << '30cf4d71baf842f10815059aaf5659d1'
XMarkov bots like Hailo and AI::MegaHAL are fun. But to get them working you
Xeither need to train them on existing training material or make your own.
X
XBot::Training provides a pluggable way to install already existing training
Xfiles via the CPAN. Bot::Training also comes with a command-line interface
Xcalled bot-training.
X
XWWW: http://search.cpan.org/dist/Bot-Training/
30cf4d71baf842f10815059aaf5659d1
echo x - p5-Bot-Training/pkg-plist
sed 's/^X//' >p5-Bot-Training/pkg-plist << '72cd2c9b1002e64365a801a8ed48e777'
X%%SITE_PERL%%/Bot/Training.pm
X%%SITE_PERL%%/Bot/Training/Plugin.pm
X%%SITE_PERL%%/%%PERL_ARCH%%/auto/Bot/Training/.packlist
Xbin/bot-training
X at dirrmtry %%SITE_PERL%%/%%PERL_ARCH%%/auto/Bot/Training
X at dirrmtry %%SITE_PERL%%/%%PERL_ARCH%%/auto/Bot
X at dirrmtry %%SITE_PERL%%/Bot/Training
X at dirrmtry %%SITE_PERL%%/Bot
72cd2c9b1002e64365a801a8ed48e777
exit
--- p5-Bot-Training-0.04.shar ends here ---
>Release-Note:
>Audit-Trail:
>Unformatted:
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