From: David Seifert <soap@gentoo.org>
Date: Sat, 25 Nov 2017 16:51:52 +0000 (+0100)
Subject: sci-libs/spooles: [QA] Consistent whitespace in metadata.xml
X-Git-Url: http://git.tremily.us/gitweb.cgi?a=commitdiff_plain;h=aa2b72103414cee543629636e19edaa983e73006;p=gentoo.git

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

diff --git a/sci-libs/spooles/metadata.xml b/sci-libs/spooles/metadata.xml
index 24aa1634d185..4f2c1ace32a3 100644
--- a/sci-libs/spooles/metadata.xml
+++ b/sci-libs/spooles/metadata.xml
@@ -1,22 +1,22 @@
 <?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">
-  SPOOLES is a library for solving sparse real and complex linear
-  systems of equations, written in the C language using object
-  oriented design. At present, there is the following functionality:
-  1. Compute multiple minimum degree, generalized nested dissection
-     and multisection orderings of matrices with symmetric structure.
-  2. Factor and solve square linear systems of equations with
-     symmetric structure, with or without pivoting for stability.
-  3. Factor and solve overdetermined full rank systems of equations
-     using a multifrontal QR factorization.
-  4. Solve square linear systems using a variety of Krylov iterative
-     methods. The preconditioner is a drop tolerance factorization,
-     with or without pivoting for stability.
-</longdescription>
+	<maintainer type="project">
+		<email>sci@gentoo.org</email>
+		<name>Gentoo Science Project</name>
+	</maintainer>
+	<longdescription lang="en">
+		SPOOLES is a library for solving sparse real and complex linear
+		systems of equations, written in the C language using object
+		oriented design. At present, there is the following functionality:
+		1. Compute multiple minimum degree, generalized nested dissection
+		and multisection orderings of matrices with symmetric structure.
+		2. Factor and solve square linear systems of equations with
+		symmetric structure, with or without pivoting for stability.
+		3. Factor and solve overdetermined full rank systems of equations
+		using a multifrontal QR factorization.
+		4. Solve square linear systems using a variety of Krylov iterative
+		methods. The preconditioner is a drop tolerance factorization,
+		with or without pivoting for stability.
+	</longdescription>
 </pkgmetadata>