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Date: Tue, 17 Dec 2013 13:31:14 +0200 (EET)
From: Johannes Jost Meixner <xmj@chaot.net>
To: FreeBSD-gnats-submit@freebsd.org
Cc:
Subject: [NEW PORT] math/py-fastcluster: Python functions for hierarchical clustering
X-Send-Pr-Version: 3.113
X-GNATS-Notify:

>Number:         184931
>Category:       ports
>Synopsis:       [NEW PORT] math/py-fastcluster: Python functions for hierarchical clustering
>Confidential:   no
>Severity:       non-critical
>Priority:       low
>Responsible:    wg
>State:          closed
>Quarter:        
>Keywords:       
>Date-Required:  
>Class:          change-request
>Submitter-Id:   current-users
>Arrival-Date:   Tue Dec 17 11:40:00 UTC 2013
>Closed-Date:    Wed Dec 18 11:16:07 UTC 2013
>Last-Modified:  Wed Dec 18 11:20:00 UTC 2013
>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 <xmj@chaot.net>
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 <bsd.port.mk>
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:
Responsible-Changed-From-To: freebsd-ports-bugs->wg 
Responsible-Changed-By: wg 
Responsible-Changed-When: Wed Dec 18 10:28:03 UTC 2013 
Responsible-Changed-Why:  
I'll take it. 

http://www.freebsd.org/cgi/query-pr.cgi?pr=184931 
State-Changed-From-To: open->closed 
State-Changed-By: wg 
State-Changed-When: Wed Dec 18 11:16:06 UTC 2013 
State-Changed-Why:  
New port added. Thanks! 

http://www.freebsd.org/cgi/query-pr.cgi?pr=184931 

From: dfilter@FreeBSD.ORG (dfilter service)
To: bug-followup@FreeBSD.org
Cc:  
Subject: Re: ports/184931: commit references a PR
Date: Wed, 18 Dec 2013 11:12:48 +0000 (UTC)

 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 <xmj chaot.net>
 
 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 <xmj@chaot.net>
 +# $FreeBSD$
 +
 +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 <bsd.port.mk>
 
 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
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>Unformatted:
