sci-libs/coinor-smi: [QA] Consistent whitespace in metadata.xml

diff --git a/sci-libs/coinor-smi/metadata.xml b/sci-libs/coinor-smi/metadata.xml
index 9918603b2e88d55c384367cbbda400ef83854a95..a09571668d51108051f374f20e53a2cea16a8712 100644 (file)
--- 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>