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authorDavid Seifert <soap@gentoo.org>2017-11-25 21:00:30 +0100
committerDavid Seifert <soap@gentoo.org>2017-11-25 22:39:59 +0100
commitf1aeef9ef65e979c0bf9574b61b438cf3c7c8126 (patch)
tree33ca2f7ce5be8f6afc2411e46b3b5ec9b262c728 /dev-python
parentdev-python/hacking: [QA] Consistent whitespace in metadata.xml (diff)
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dev-python/hcluster: [QA] Consistent whitespace in metadata.xml
Diffstat (limited to 'dev-python')
-rw-r--r--dev-python/hcluster/metadata.xml21
1 files changed, 11 insertions, 10 deletions
diff --git a/dev-python/hcluster/metadata.xml b/dev-python/hcluster/metadata.xml
index 3de3c222d3bb..611f8c440f1b 100644
--- a/dev-python/hcluster/metadata.xml
+++ b/dev-python/hcluster/metadata.xml
@@ -1,4 +1,4 @@
-<?xml version='1.0' encoding='UTF-8'?>
+<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
@@ -6,15 +6,16 @@
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">This library provides Python functions for agglomerative
- clustering. Its features include
- * generating hierarchical clusters from distance matrices
- * computing distance matrices from observation vectors
- * computing statistics on clusters
- * cutting linkages to generate flat clusters
- * and visualizing clusters with dendrograms.
- 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.</longdescription>
+ clustering. Its features include
+ * generating hierarchical clusters from distance matrices
+ * computing distance matrices from observation vectors
+ * computing statistics on clusters
+ * cutting linkages to generate flat clusters
+ * and visualizing clusters with dendrograms.
+ 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.
+ </longdescription>
<upstream>
<remote-id type="google-code">scipy-cluster</remote-id>
<remote-id type="pypi">hcluster</remote-id>