Import Debian changes 0.4.0~beta2-1

elki (0.4.0~beta2-1) unstable; urgency=low

  * New upstream release.
  * Build with OpenJDK 7, which just entered unstable.
  * Move to main, since we can now build with free software only.
  * Drop Vcs-Browser used incorrectly (pointing to upstream VCS, not
    Debian packaging) (Closes: #638516)

1 files changed, 25 insertions, 2 deletions

diff --git a/test/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/TestSUBCLUResults.java b/test/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/TestSUBCLUResults.java
index 65756bbc..9f0e1550 100644
--- a/test/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/TestSUBCLUResults.java
+++ b/test/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/TestSUBCLUResults.java
@@ -1,5 +1,28 @@
 package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace;
 
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2011
+ Ludwig-Maximilians-Universität München
+ Lehr- und Forschungseinheit für Datenbanksysteme
+ ELKI Development Team
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU Affero General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ GNU Affero General Public License for more details.
+
+ You should have received a copy of the GNU Affero General Public License
+ along with this program.  If not, see <http://www.gnu.org/licenses/>.
+ */
+
 import org.junit.Test;
 
 import de.lmu.ifi.dbs.elki.JUnit4Test;
@@ -57,14 +80,14 @@ public class TestSUBCLUResults extends AbstractSimpleAlgorithmTest implements JU
   @Test
   public void testSUBCLUSubspaceOverlapping() {
     Database db = makeSimpleDatabase(UNITTEST + "subspace-overlapping-3-4d.ascii", 850);
-  
+
     // Setup algorithm
     ListParameterization params = new ListParameterization();
     params.addParameter(SUBCLU.EPSILON_ID, 0.04);
     params.addParameter(SUBCLU.MINPTS_ID, 70);
     SUBCLU<DoubleVector> subclu = ClassGenericsUtil.parameterizeOrAbort(SUBCLU.class, params);
     testParameterizationOk(params);
-  
+
     // run SUBCLU on database
     Clustering<SubspaceModel<DoubleVector>> result = subclu.run(db);
     testFMeasure(db, result, 0.49279033);