From owner-svn-ports-head@FreeBSD.ORG Sat May 31 13:56:18 2014 Return-Path: Delivered-To: svn-ports-head@freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) (using TLSv1 with cipher ADH-AES256-SHA (256/256 bits)) (No client certificate requested) by hub.freebsd.org (Postfix) with ESMTPS id 4A374A9F; Sat, 31 May 2014 13:56:18 +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)) (Client did not present a certificate) by mx1.freebsd.org (Postfix) with ESMTPS id 1EA842B08; Sat, 31 May 2014 13:56:18 +0000 (UTC) Received: from svn.freebsd.org ([127.0.1.70]) by svn.freebsd.org (8.14.8/8.14.8) with ESMTP id s4VDuHVf030849; Sat, 31 May 2014 13:56:17 GMT (envelope-from wen@svn.freebsd.org) Received: (from wen@localhost) by svn.freebsd.org (8.14.8/8.14.8/Submit) id s4VDuHn8030844; Sat, 31 May 2014 13:56:17 GMT (envelope-from wen@svn.freebsd.org) Message-Id: <201405311356.s4VDuHn8030844@svn.freebsd.org> From: Wen Heping Date: Sat, 31 May 2014 13:56:17 +0000 (UTC) To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r355973 - in head/science/py-mlpy: . files 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: 2.1.18 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: Sat, 31 May 2014 13:56:18 -0000 Author: wen Date: Sat May 31 13:56:17 2014 New Revision: 355973 URL: http://svnweb.freebsd.org/changeset/ports/355973 QAT: https://qat.redports.org/buildarchive/r355973/ Log: - Added STAGE support - Update to 3.5.0 PR: 190314 Submitted by: Muhammad Moinur Rahman <5u623l20@gmail.com> Deleted: head/science/py-mlpy/files/patch-mlpy-cwt-cwb.c head/science/py-mlpy/files/patch-setup.py head/science/py-mlpy/pkg-plist Modified: head/science/py-mlpy/Makefile head/science/py-mlpy/distinfo head/science/py-mlpy/pkg-descr Modified: head/science/py-mlpy/Makefile ============================================================================== --- head/science/py-mlpy/Makefile Sat May 31 13:54:24 2014 (r355972) +++ head/science/py-mlpy/Makefile Sat May 31 13:56:17 2014 (r355973) @@ -2,26 +2,26 @@ # $FreeBSD$ PORTNAME= mlpy -PORTVERSION= 2.2.2 -PORTREVISION= 4 +PORTVERSION= 3.5.0 CATEGORIES= science python -MASTER_SITES= https://mlpy.fbk.eu/download/src/ +MASTER_SITES= SF/${PORTNAME}/${PORTNAME}%20${PORTVERSION} PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} -DISTNAME= MLPY-${PORTVERSION} MAINTAINER= wen@FreeBSD.org COMMENT= High performance Python package for predictive modeling +LICENSE= GPLv3 + BUILD_DEPENDS= ${PYTHON_SITELIBDIR}/numpy:${PORTSDIR}/math/py-numpy \ cython>0:${PORTSDIR}/lang/cython RUN_DEPENDS:= ${BUILD_DEPENDS} -LIB_DEPENDS= gsl:${PORTSDIR}/math/gsl +LIB_DEPENDS= libgsl.so:${PORTSDIR}/math/gsl +USE_LDCONFIG= yes CFLAGS+= -I${LOCALBASE}/include -I${PYTHON_SITELIBDIR}/numpy/core LDFLAGS+= -L${LOCALBASE}/lib USE_PYTHON= yes USE_PYDISTUTILS= yes -PYDISTUTILS_PKGNAME= MLPY +PYDISTUTILS_AUTOPLIST= yes -NO_STAGE= yes .include Modified: head/science/py-mlpy/distinfo ============================================================================== --- head/science/py-mlpy/distinfo Sat May 31 13:54:24 2014 (r355972) +++ head/science/py-mlpy/distinfo Sat May 31 13:56:17 2014 (r355973) @@ -1,2 +1,2 @@ -SHA256 (MLPY-2.2.2.tar.gz) = 2c2864834ced9caddea83bc05ffc7526325cf5bffcfd6c3c4cf13097312b0057 -SIZE (MLPY-2.2.2.tar.gz) = 235665 +SHA256 (mlpy-3.5.0.tar.gz) = 344fa75fbf9f76af72f6a346d5309613defc4d244bac13c218e509a51d68bf6a +SIZE (mlpy-3.5.0.tar.gz) = 1961206 Modified: head/science/py-mlpy/pkg-descr ============================================================================== --- head/science/py-mlpy/pkg-descr Sat May 31 13:54:24 2014 (r355972) +++ head/science/py-mlpy/pkg-descr Sat May 31 13:56:17 2014 (r355973) @@ -8,4 +8,4 @@ selection. Methods are available for fea resampling, error evaluation and experiment landscaping.The package includes tools to measure stability in sets of ranked feature lists. -WWW: http://mlpy.fbk.eu/ +WWW: http://mlpy.sourceforge.net/