From owner-freebsd-ports-bugs@FreeBSD.ORG Tue Dec 17 11:40:00 2013 Return-Path: Delivered-To: freebsd-ports-bugs@smarthost.ysv.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 B8FF2392 for ; Tue, 17 Dec 2013 11:40:00 +0000 (UTC) Received: from freefall.freebsd.org (freefall.freebsd.org [IPv6:2001:1900:2254:206c::16:87]) (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 9354518F5 for ; Tue, 17 Dec 2013 11:40:00 +0000 (UTC) Received: from freefall.freebsd.org (localhost [127.0.0.1]) by freefall.freebsd.org (8.14.7/8.14.7) with ESMTP id rBHBe0Gi074600 for ; Tue, 17 Dec 2013 11:40:00 GMT (envelope-from gnats@freefall.freebsd.org) Received: (from gnats@localhost) by freefall.freebsd.org (8.14.7/8.14.7/Submit) id rBHBe0EG074599; Tue, 17 Dec 2013 11:40:00 GMT (envelope-from gnats) Resent-Date: Tue, 17 Dec 2013 11:40:00 GMT Resent-Message-Id: <201312171140.rBHBe0EG074599@freefall.freebsd.org> Resent-From: FreeBSD-gnats-submit@FreeBSD.org (GNATS Filer) Resent-To: freebsd-ports-bugs@FreeBSD.org Resent-Reply-To: FreeBSD-gnats-submit@FreeBSD.org, Johannes Jost Meixner 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 14612318 for ; Tue, 17 Dec 2013 11:31:18 +0000 (UTC) Received: from dd16522.kasserver.com (dd16522.kasserver.com [85.13.137.124]) (using TLSv1 with cipher ADH-AES256-SHA (256/256 bits)) (No client certificate requested) by mx1.freebsd.org (Postfix) with ESMTPS id 965ED18B3 for ; Tue, 17 Dec 2013 11:31:17 +0000 (UTC) Received: from mx12.chaot.net (82.131.84.56.cable.starman.ee [82.131.84.56]) by dd16522.kasserver.com (Postfix) with ESMTPSA id 96D27456655 for ; Tue, 17 Dec 2013 12:31:15 +0100 (CET) Received: from localhost (1003@localhost [local]); by mx12.chaot.net (OpenSMTPD) with ESMTPA id 30dff9f8; for ; Tue, 17 Dec 2013 13:31:14 +0200 (EET) Message-Id: <3174122997.enqueue@mx12.chaot.net> Date: Tue, 17 Dec 2013 13:31:14 +0200 (EET) From: Johannes Jost Meixner To: FreeBSD-gnats-submit@freebsd.org X-Send-Pr-Version: 3.113 Subject: ports/184931: [NEW PORT] math/py-fastcluster: Python functions for hierarchical clustering X-BeenThere: freebsd-ports-bugs@freebsd.org X-Mailman-Version: 2.1.17 Precedence: list List-Id: Ports bug reports List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 17 Dec 2013 11:40:00 -0000 >Number: 184931 >Category: ports >Synopsis: [NEW PORT] math/py-fastcluster: Python functions for hierarchical clustering >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 Dec 17 11:40:00 UTC 2013 >Closed-Date: >Last-Modified: >Originator: Johannes Jost Meixner >Release: FreeBSD 11.0-CURRENT amd64 >Organization: Goldener Grund OUe >Environment: System: FreeBSD mx12.chaot.net 11.0-CURRENT FreeBSD 11.0-CURRENT #4: Wed Dec 11 13:21:24 EET 2013 >Description: 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 Generated with FreeBSD Port Tools 0.99_8 (mode: new) >How-To-Repeat: >Fix: --- .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: # # py-fastcluster # py-fastcluster/Makefile # py-fastcluster/distinfo # py-fastcluster/pkg-descr # echo c - py-fastcluster mkdir -p py-fastcluster > /dev/null 2>&1 echo x - py-fastcluster/Makefile sed 's/^X//' >py-fastcluster/Makefile << '57ba3d302594e57000af2f79dc417484' X# Created by: Johannes Meixner X# $FreeBSD$ X XPORTNAME= fastcluster XPORTVERSION= 1.1.13 XCATEGORIES= math python XMASTER_SITES= CHEESESHOP XPKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} X XMAINTAINER= xmj@chaot.net XCOMMENT= Python functions for hierarchical clustering X XLICENSE= BSD X XBUILD_DEPENDS= ${PYNUMPY} XRUN_DEPENDS= ${PYNUMPY} \ X ${PYTHON_PKGNAMEPREFIX}scipy>0:${PORTSDIR}/science/py-scipy X XPORTDOCS= CITATION.txt \ X INSTALL.txt \ X NEWS.txt \ X README.txt X XUSE_PYTHON= yes XUSE_PYDISTUTILS= yes XPYDISTUTILS_AUTOPLIST= yes X Xpost-install: X ${MKDIR} ${STAGEDIR}${DOCSDIR} X ${INSTALL_DATA} ${PORTDOCS:S|^|${WRKSRC}/|} ${STAGEDIR}${DOCSDIR} X X.include 57ba3d302594e57000af2f79dc417484 echo x - py-fastcluster/distinfo sed 's/^X//' >py-fastcluster/distinfo << '300ac8bf27a410cfeef3db86f10f8a15' XSHA256 (fastcluster-1.1.13.tar.gz) = abdf99d327e6e6569dc2782eaca1d6ed2ced88ab6c6b43c8e9850dae66f9648c XSIZE (fastcluster-1.1.13.tar.gz) = 148538 300ac8bf27a410cfeef3db86f10f8a15 echo x - py-fastcluster/pkg-descr sed 's/^X//' >py-fastcluster/pkg-descr << '04beafbded5ca363324250cfc8f868a7' XFastcluster provides Python functions for hierarchical clustering. It generates Xhierarchical clusters from distance matrices or from vector data. X XPart of this module is intended to replace the functions X linkage, single, complete, average, weighted, centroid, median, ward Xin the module scipy.cluster.hierarchy with the same functionality but much Xfaster algorithms. Moreover, the function 'linkage_vector' provides Xmemory-efficient clustering for vector data. X XThe interface is very similar to MATLAB's Statistics Toolbox API to make code Xeasier to port from MATLAB to Python/Numpy. The core implementation of this Xlibrary is in C++ for efficiency. X XWWW: http://danifold.net/fastcluster.html 04beafbded5ca363324250cfc8f868a7 exit --- .shar ends here --- >Release-Note: >Audit-Trail: >Unformatted: