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authorDavid Seifert <soap@gentoo.org>2017-11-25 17:50:32 +0100
committerDavid Seifert <soap@gentoo.org>2017-11-25 18:37:08 +0100
commitf9c28eb94413a0bc2fd9066189ce793d9c224b01 (patch)
treeadf417a70cb53785a2f4874903a2eab66b849249
parentsci-libs/coinor-sample: [QA] Consistent whitespace in metadata.xml (diff)
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sci-libs/coinor-smi: [QA] Consistent whitespace in metadata.xml
-rw-r--r--sci-libs/coinor-smi/metadata.xml34
1 files changed, 17 insertions, 17 deletions
diff --git a/sci-libs/coinor-smi/metadata.xml b/sci-libs/coinor-smi/metadata.xml
index 9918603b2e88..a09571668d51 100644
--- a/sci-libs/coinor-smi/metadata.xml
+++ b/sci-libs/coinor-smi/metadata.xml
@@ -1,21 +1,21 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
-<maintainer type="project">
- <email>sci@gentoo.org</email>
- <name>Gentoo Science Project</name>
-</maintainer>
-<longdescription lang="en">
- The COIN-OR Stochastic Modeling Interface (SMI) is an interface for
- problems in which uncertainty and optimization appear
- together. There are many modeling and algorithmic approaches that
- could belong here, like: recourse programming, chance constrained
- programming, stochastic control and dynamic programming, robust
- optimization, etc, etc. SMI is intended to be like OSI in the sense
- that an SmiXX object is an implementation derived from a base class
- that takes care of a number of commonly encountered programming
- issues, like handling probability distributions, managing problem
- generation, interacting with solvers to obtain solution information,
- etc.
-</longdescription>
+ <maintainer type="project">
+ <email>sci@gentoo.org</email>
+ <name>Gentoo Science Project</name>
+ </maintainer>
+ <longdescription lang="en">
+ The COIN-OR Stochastic Modeling Interface (SMI) is an interface for
+ problems in which uncertainty and optimization appear
+ together. There are many modeling and algorithmic approaches that
+ could belong here, like: recourse programming, chance constrained
+ programming, stochastic control and dynamic programming, robust
+ optimization, etc, etc. SMI is intended to be like OSI in the sense
+ that an SmiXX object is an implementation derived from a base class
+ that takes care of a number of commonly encountered programming
+ issues, like handling probability distributions, managing problem
+ generation, interacting with solvers to obtain solution information,
+ etc.
+ </longdescription>
</pkgmetadata>