From owner-svn-ports-head@FreeBSD.ORG Sun Dec 8 14:12:48 2013 Return-Path: Delivered-To: svn-ports-head@freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [8.8.178.115]) (using TLSv1 with cipher ADH-AES256-SHA (256/256 bits)) (No client certificate requested) by hub.freebsd.org (Postfix) with ESMTPS id CF7F3935; Sun, 8 Dec 2013 14:12:48 +0000 (UTC) Received: from svn.freebsd.org (svn.freebsd.org [IPv6:2001:1900:2254:2068::e6a:0]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by mx1.freebsd.org (Postfix) with ESMTPS id BB5BF1643; Sun, 8 Dec 2013 14:12:48 +0000 (UTC) Received: from svn.freebsd.org ([127.0.1.70]) by svn.freebsd.org (8.14.7/8.14.7) with ESMTP id rB8ECm2h097276; Sun, 8 Dec 2013 14:12:48 GMT (envelope-from wg@svn.freebsd.org) Received: (from wg@localhost) by svn.freebsd.org (8.14.7/8.14.7/Submit) id rB8EClHH097271; Sun, 8 Dec 2013 14:12:47 GMT (envelope-from wg@svn.freebsd.org) Message-Id: <201312081412.rB8EClHH097271@svn.freebsd.org> From: William Grzybowski Date: Sun, 8 Dec 2013 14:12:47 +0000 (UTC) To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r335895 - in head/science: . py-pyaixi X-SVN-Group: ports-head MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit X-BeenThere: svn-ports-head@freebsd.org X-Mailman-Version: 2.1.17 Precedence: list List-Id: SVN commit messages for the ports tree for head List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 08 Dec 2013 14:12:49 -0000 Author: wg Date: Sun Dec 8 14:12:47 2013 New Revision: 335895 URL: http://svnweb.freebsd.org/changeset/ports/335895 Log: science/py-pyaixi: Implementation of the MC-AIXI-CTW AI algorithm pyaixi is a pure Python implementation of the Monte Carlo-AIXI-Context Tree Weighting (MC-AIXI-CTW) artificial intelligence algorithm. This is an approximation of the AIXI universal artificial intelligence algorithm, which describes a model-based, reinforcement-learning agent capable of general learning. WWW: https://github.com/gkassel/pyaixi PR: ports/184572 Submitted by: Johannes Jost Meixner Added: head/science/py-pyaixi/ head/science/py-pyaixi/Makefile (contents, props changed) head/science/py-pyaixi/distinfo (contents, props changed) head/science/py-pyaixi/pkg-descr (contents, props changed) Modified: head/science/Makefile Modified: head/science/Makefile ============================================================================== --- head/science/Makefile Sun Dec 8 14:11:54 2013 (r335894) +++ head/science/Makefile Sun Dec 8 14:12:47 2013 (r335895) @@ -156,6 +156,7 @@ SUBDIR += py-obspy SUBDIR += py-paida SUBDIR += py-pupynere + SUBDIR += py-pyaixi SUBDIR += py-pydap SUBDIR += py-pydicom SUBDIR += py-scikit-learn Added: head/science/py-pyaixi/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/py-pyaixi/Makefile Sun Dec 8 14:12:47 2013 (r335895) @@ -0,0 +1,41 @@ +# Created by: Johannes Meixner +# $FreeBSD$ + +PORTNAME= pyaixi +PORTVERSION= 1.0.3 +CATEGORIES= science python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= xmj@chaot.net +COMMENT= Implementation of the MC-AIXI-CTW AI algorithm + +LICENSE= CCbySA +LICENSE_NAME= Creative Commons Attribution-ShareAlike 3.0 \ + Unported License +LICENSE_FILE= ${WRKSRC}/LICENSE.txt +LICENSE_PERMS= auto-accept dist-mirror pkg-mirror pkg-sell dist-sell + +USES= dos2unix +USE_PYTHON= 2.7 +USE_PYDISTUTILS= yes +PYDISTUTILS_AUTOPLIST= yes + +PORTDOCS= changelog.txt \ + todo.txt + +PORTEXAMPLES= * + +OPTIONS_DEFINE= DOCS EXAMPLES +EXAMPLESDIR= ${PREFIX}/share/examples/py-${PORTNAME} +DOCSDIR= ${PREFIX}/share/doc/py-${PORTNAME} + +post-install: + ${MKDIR} ${STAGEDIR}${DOCSDIR} + ${INSTALL_DATA} ${PORTDOCS:S|^|${WRKSRC}/doc/|} \ + ${STAGEDIR}${DOCSDIR} + ${MKDIR} ${STAGEDIR}${EXAMPLESDIR} + ${INSTALL_DATA} ${PORTEXAMPLES:S|^|${WRKSRC}/conf/|} \ + ${STAGEDIR}${EXAMPLESDIR} + +.include Added: head/science/py-pyaixi/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/py-pyaixi/distinfo Sun Dec 8 14:12:47 2013 (r335895) @@ -0,0 +1,2 @@ +SHA256 (pyaixi-1.0.3.tar.gz) = 5d58cd3162740dbf082c16c4a8f377169e6dc4643a1848a4f3a793310ad261db +SIZE (pyaixi-1.0.3.tar.gz) = 48553 Added: head/science/py-pyaixi/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/py-pyaixi/pkg-descr Sun Dec 8 14:12:47 2013 (r335895) @@ -0,0 +1,8 @@ +pyaixi is a pure Python implementation of the Monte Carlo-AIXI-Context Tree Weighting +(MC-AIXI-CTW) artificial intelligence algorithm. + +This is an approximation of the AIXI universal artificial intelligence +algorithm, which describes a model-based, reinforcement-learning agent capable +of general learning. + +WWW: https://github.com/gkassel/pyaixi