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authorV3n3RiX <venerix@redcorelinux.org>2017-11-26 11:42:28 +0000
committerV3n3RiX <venerix@redcorelinux.org>2017-11-26 11:42:28 +0000
commit89c6c06b8c42107dd231687a1012354e7d3039fc (patch)
treedad94f4da8a6694f3cb99f7048be2f9cf5f78f97 /sci-libs/hdf/metadata.xml
parent796cae72cf9ed18ba01256ac1f83a686a2a76036 (diff)
gentoo resync : 26.11.2017
Diffstat (limited to 'sci-libs/hdf/metadata.xml')
-rw-r--r--sci-libs/hdf/metadata.xml20
1 files changed, 10 insertions, 10 deletions
diff --git a/sci-libs/hdf/metadata.xml b/sci-libs/hdf/metadata.xml
index 396675338791..fedc7089f83e 100644
--- a/sci-libs/hdf/metadata.xml
+++ b/sci-libs/hdf/metadata.xml
@@ -6,14 +6,14 @@
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
- The Hierarchical Data Format is a general purpose library and
- file format for storing scientific data.
- HDF can store two primary objects: datasets and groups. A dataset is
- essentially a multidimensional array of data elements, and a group is
- a structure for organizing objects in an HDF file. Using these two basic
- objects, one can create and store almost any kind of scientific data
- structure, such as images, arrays of vectors, and structured and
- unstructured grids. You can also mix and match them in HDF files
- according to your needs.
-</longdescription>
+ The Hierarchical Data Format is a general purpose library and
+ file format for storing scientific data.
+ HDF can store two primary objects: datasets and groups. A dataset is
+ essentially a multidimensional array of data elements, and a group is
+ a structure for organizing objects in an HDF file. Using these two basic
+ objects, one can create and store almost any kind of scientific data
+ structure, such as images, arrays of vectors, and structured and
+ unstructured grids. You can also mix and match them in HDF files
+ according to your needs.
+ </longdescription>
</pkgmetadata>