From owner-svn-ports-head@FreeBSD.ORG Wed Dec 18 11:12:41 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 C6AB95D0; Wed, 18 Dec 2013 11:12:41 +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 B1C12132E; Wed, 18 Dec 2013 11:12:41 +0000 (UTC) Received: from svn.freebsd.org ([127.0.1.70]) by svn.freebsd.org (8.14.7/8.14.7) with ESMTP id rBIBCfmN056504; Wed, 18 Dec 2013 11:12:41 GMT (envelope-from wg@svn.freebsd.org) Received: (from wg@localhost) by svn.freebsd.org (8.14.7/8.14.7/Submit) id rBIBCe6r056498; Wed, 18 Dec 2013 11:12:40 GMT (envelope-from wg@svn.freebsd.org) Message-Id: <201312181112.rBIBCe6r056498@svn.freebsd.org> From: William Grzybowski Date: Wed, 18 Dec 2013 11:12:40 +0000 (UTC) To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r336815 - in head/math: . py-fastcluster 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: Wed, 18 Dec 2013 11:12:42 -0000 Author: wg Date: Wed Dec 18 11:12:40 2013 New Revision: 336815 URL: http://svnweb.freebsd.org/changeset/ports/336815 Log: math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C++ for efficiency. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner Added: head/math/py-fastcluster/ head/math/py-fastcluster/Makefile (contents, props changed) head/math/py-fastcluster/distinfo (contents, props changed) head/math/py-fastcluster/pkg-descr (contents, props changed) Modified: head/math/Makefile Modified: head/math/Makefile ============================================================================== --- head/math/Makefile Wed Dec 18 10:46:47 2013 (r336814) +++ head/math/Makefile Wed Dec 18 11:12:40 2013 (r336815) @@ -542,6 +542,7 @@ SUBDIR += py-basemap-data SUBDIR += py-bitvector SUBDIR += py-bottleneck + SUBDIR += py-fastcluster SUBDIR += py-ffc SUBDIR += py-fiat SUBDIR += py-fpconst Added: head/math/py-fastcluster/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-fastcluster/Makefile Wed Dec 18 11:12:40 2013 (r336815) @@ -0,0 +1,32 @@ +# Created by: Johannes Meixner +# $FreeBSD$ + +PORTNAME= fastcluster +PORTVERSION= 1.1.13 +CATEGORIES= math python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= xmj@chaot.net +COMMENT= Python functions for hierarchical clustering + +LICENSE= BSD2CLAUSE + +BUILD_DEPENDS= ${PYNUMPY} +RUN_DEPENDS= ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}scipy>0:${PORTSDIR}/science/py-scipy + +PORTDOCS= CITATION.txt \ + INSTALL.txt \ + NEWS.txt \ + README.txt + +USE_PYTHON= yes +USE_PYDISTUTILS= yes +PYDISTUTILS_AUTOPLIST= yes + +post-install: + ${MKDIR} ${STAGEDIR}${DOCSDIR} + ${INSTALL_DATA} ${PORTDOCS:S|^|${WRKSRC}/|} ${STAGEDIR}${DOCSDIR} + +.include Added: head/math/py-fastcluster/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-fastcluster/distinfo Wed Dec 18 11:12:40 2013 (r336815) @@ -0,0 +1,2 @@ +SHA256 (fastcluster-1.1.13.tar.gz) = abdf99d327e6e6569dc2782eaca1d6ed2ced88ab6c6b43c8e9850dae66f9648c +SIZE (fastcluster-1.1.13.tar.gz) = 148538 Added: head/math/py-fastcluster/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-fastcluster/pkg-descr Wed Dec 18 11:12:40 2013 (r336815) @@ -0,0 +1,14 @@ +Fastcluster provides Python functions for hierarchical clustering. It generates +hierarchical clusters from distance matrices or from vector data. + +Part of this module is intended to replace the functions + linkage, single, complete, average, weighted, centroid, median, ward +in the module scipy.cluster.hierarchy with the same functionality but much +faster algorithms. Moreover, the function 'linkage_vector' provides +memory-efficient clustering for vector data. + +The interface is very similar to MATLAB's Statistics Toolbox API to make code +easier to port from MATLAB to Python/Numpy. The core implementation of this +library is in C++ for efficiency. + +WWW: http://danifold.net/fastcluster.html