From owner-svn-ports-head@freebsd.org Mon Apr 18 05:31:59 2016 Return-Path: Delivered-To: svn-ports-head@mailman.ysv.freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:1900:2254:206a::19:1]) by mailman.ysv.freebsd.org (Postfix) with ESMTP id 66B05B1269F; Mon, 18 Apr 2016 05:31:59 +0000 (UTC) (envelope-from araujo@FreeBSD.org) Received: from repo.freebsd.org (repo.freebsd.org [IPv6:2610:1c1:1:6068::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 1BAF61ACA; Mon, 18 Apr 2016 05:31:59 +0000 (UTC) (envelope-from araujo@FreeBSD.org) Received: from repo.freebsd.org ([127.0.1.37]) by repo.freebsd.org (8.15.2/8.15.2) with ESMTP id u3I5Vw6R022465; Mon, 18 Apr 2016 05:31:58 GMT (envelope-from araujo@FreeBSD.org) Received: (from araujo@localhost) by repo.freebsd.org (8.15.2/8.15.2/Submit) id u3I5VwUV022462; Mon, 18 Apr 2016 05:31:58 GMT (envelope-from araujo@FreeBSD.org) Message-Id: <201604180531.u3I5VwUV022462@repo.freebsd.org> X-Authentication-Warning: repo.freebsd.org: araujo set sender to araujo@FreeBSD.org using -f From: Marcelo Araujo Date: Mon, 18 Apr 2016 05:31:58 +0000 (UTC) To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r413550 - head/math/py-luminol 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: 2.1.21 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: Mon, 18 Apr 2016 05:31:59 -0000 Author: araujo Date: Mon Apr 18 05:31:57 2016 New Revision: 413550 URL: https://svnweb.freebsd.org/changeset/ports/413550 Log: Luminol is a light weight python library for time series data analysis. The two major functionalities it supports are anomaly detection and correlation. It can be used to investigate possible causes of anomaly. WWW: https://github.com/linkedin/luminol Reviewed by: mat, koobs, Python Tested by: gnn (earlier version) Sponsored by: gandi.net Differential Revision: https://reviews.freebsd.org/D5670 Added: head/math/py-luminol/ head/math/py-luminol/Makefile (contents, props changed) head/math/py-luminol/distinfo (contents, props changed) head/math/py-luminol/pkg-descr (contents, props changed) Added: head/math/py-luminol/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-luminol/Makefile Mon Apr 18 05:31:57 2016 (r413550) @@ -0,0 +1,23 @@ +# $FreeBSD$ + +PORTNAME= luminol +PORTVERSION= 0.3.1 +DISTVERSIONPREFIX= v +CATEGORIES= math python +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= araujo@FreeBSD.org +COMMENT= Light weight python library for time series data analysis + +LICENSE= APACHE20 +LICENSE_FILE= ${WRKSRC}/LICENSE + +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy \ + ${PYTHON_PKGNAMEPREFIX}numpy>=1.6.2:math/py-numpy + +USES= python +USE_PYTHON= autoplist distutils +USE_GITHUB= yes +GH_ACCOUNT= linkedin + +.include Added: head/math/py-luminol/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-luminol/distinfo Mon Apr 18 05:31:57 2016 (r413550) @@ -0,0 +1,2 @@ +SHA256 (linkedin-luminol-v0.3.1_GH0.tar.gz) = 31c2c5697dffa0e4b9c3468189b2a4f25e5dd2c59ee351f51fdbf5a770fe8c7b +SIZE (linkedin-luminol-v0.3.1_GH0.tar.gz) = 141854 Added: head/math/py-luminol/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-luminol/pkg-descr Mon Apr 18 05:31:57 2016 (r413550) @@ -0,0 +1,5 @@ +Luminol is a light weight python library for time series data analysis. +The two major functionalities it supports are anomaly detection and +correlation. It can be used to investigate possible causes of anomaly. + +WWW: https://github.com/linkedin/luminol