Gentoo Archives: gentoo-commits

From: "Sebastien Fabbro (bicatali)" <bicatali@g.o>
To: gentoo-commits@l.g.o
Subject: [gentoo-commits] gentoo-x86 commit in dev-python/hcluster: metadata.xml
Date: Fri, 05 Dec 2008 13:50:09
Message-Id: E1L8b4G-0003xU-S5@stork.gentoo.org
1 bicatali 08/12/05 13:50:04
2
3 Modified: metadata.xml
4 Log:
5 Now signing properly
6 (Portage version: 2.2_rc16/cvs/Linux 2.6.25-gentoo-r7 x86_64)
7
8 Revision Changes Path
9 1.2 dev-python/hcluster/metadata.xml
10
11 file : http://sources.gentoo.org/viewcvs.py/gentoo-x86/dev-python/hcluster/metadata.xml?rev=1.2&view=markup
12 plain: http://sources.gentoo.org/viewcvs.py/gentoo-x86/dev-python/hcluster/metadata.xml?rev=1.2&content-type=text/plain
13 diff : http://sources.gentoo.org/viewcvs.py/gentoo-x86/dev-python/hcluster/metadata.xml?r1=1.1&r2=1.2
14
15 Index: metadata.xml
16 ===================================================================
17 RCS file: /var/cvsroot/gentoo-x86/dev-python/hcluster/metadata.xml,v
18 retrieving revision 1.1
19 retrieving revision 1.2
20 diff -u -r1.1 -r1.2
21 --- metadata.xml 5 Dec 2008 13:43:06 -0000 1.1
22 +++ metadata.xml 5 Dec 2008 13:50:04 -0000 1.2
23 @@ -1,17 +1,17 @@
24 <?xml version="1.0" encoding="UTF-8"?>
25 <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
26 <pkgmetadata>
27 - <herd>sci</herd>
28 - <longdescription lang="en">
29 - This library provides Python functions for agglomerative
30 - clustering. Its features include
31 - * generating hierarchical clusters from distance matrices
32 - * computing distance matrices from observation vectors
33 - * computing statistics on clusters
34 - * cutting linkages to generate flat clusters
35 - * and visualizing clusters with dendrograms.
36 - The interface is very similar to MATLAB's Statistics Toolbox API to
37 - make code easier to port from MATLAB to Python/Numpy. The core
38 - implementation of this library is in C for efficiency.
39 - </longdescription>
40 +<herd>sci</herd>
41 +<longdescription lang="en">
42 + This library provides Python functions for agglomerative
43 + clustering. Its features include
44 + * generating hierarchical clusters from distance matrices
45 + * computing distance matrices from observation vectors
46 + * computing statistics on clusters
47 + * cutting linkages to generate flat clusters
48 + * and visualizing clusters with dendrograms.
49 + The interface is very similar to MATLAB's Statistics Toolbox API to
50 + make code easier to port from MATLAB to Python/Numpy. The core
51 + implementation of this library is in C for efficiency.
52 +</longdescription>
53 </pkgmetadata>