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authorPaweł Hajdan <phajdan.jr@gentoo.org>2012-03-31 17:03:18 +0000
committerPaweł Hajdan <phajdan.jr@gentoo.org>2012-03-31 17:03:18 +0000
commit8ba2860ae7c5f5429e27ed1edd8753981376059a (patch)
tree65ab7f40697f559187fc6303fba1f00594969f7c /dev-python/h5py/metadata.xml
parentadd ~arm, bug #402989 (diff)
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Add upstream remote-id annotations using tools by Corentin Chary, bug #406287.
Diffstat (limited to 'dev-python/h5py/metadata.xml')
-rw-r--r--dev-python/h5py/metadata.xml13
1 files changed, 7 insertions, 6 deletions
diff --git a/dev-python/h5py/metadata.xml b/dev-python/h5py/metadata.xml
index 515c16f9364c..32b40081f424 100644
--- a/dev-python/h5py/metadata.xml
+++ b/dev-python/h5py/metadata.xml
@@ -1,15 +1,16 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
-<herd>python</herd>
-<herd>sci</herd>
-<longdescription lang="en">
- HDF5 for Python (h5py) is a general-purpose simple Python interface to the
+ <herd>python</herd>
+ <herd>sci</herd>
+ <longdescription lang="en">HDF5 for Python (h5py) is a general-purpose simple Python interface to the
Hierarchical Data Format library, version 5. Existing Python and
Numpy concepts are used for the interface. Almost all HDF5 features
are available from Python, including things like compound datatypes
(as used with Numpy recarray types), HDF5 attributes, hyperslab and
point-based I/O, and more recent features in HDF 1.8 like resizable
- datasets and recursive iteration over entire files.
-</longdescription>
+ datasets and recursive iteration over entire files. </longdescription>
+ <upstream>
+ <remote-id type="google-code">h5py</remote-id>
+ </upstream>
</pkgmetadata>