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1   /*******************************************************************************
2    * SAT4J: a SATisfiability library for Java Copyright (C) 2004, 2012 Artois University and CNRS
3    *
4    * All rights reserved. This program and the accompanying materials
5    * are made available under the terms of the Eclipse Public License v1.0
6    * which accompanies this distribution, and is available at
7    *  http://www.eclipse.org/legal/epl-v10.html
8    *
9    * Alternatively, the contents of this file may be used under the terms of
10   * either the GNU Lesser General Public License Version 2.1 or later (the
11   * "LGPL"), in which case the provisions of the LGPL are applicable instead
12   * of those above. If you wish to allow use of your version of this file only
13   * under the terms of the LGPL, and not to allow others to use your version of
14   * this file under the terms of the EPL, indicate your decision by deleting
15   * the provisions above and replace them with the notice and other provisions
16   * required by the LGPL. If you do not delete the provisions above, a recipient
17   * may use your version of this file under the terms of the EPL or the LGPL.
18   *
19   * Based on the original MiniSat specification from:
20   *
21   * An extensible SAT solver. Niklas Een and Niklas Sorensson. Proceedings of the
22   * Sixth International Conference on Theory and Applications of Satisfiability
23   * Testing, LNCS 2919, pp 502-518, 2003.
24   *
25   * See www.minisat.se for the original solver in C++.
26   *
27   * Contributors:
28   *   CRIL - initial API and implementation
29   *******************************************************************************/
30  package org.sat4j.minisat.learning;
31  
32  import org.sat4j.minisat.core.Constr;
33  import org.sat4j.minisat.core.DataStructureFactory;
34  
35  /**
36   * Selects the constraints to learn according to its length as a percentage of
37   * the total number of variables in the solver universe.
38   * 
39   * @author daniel
40   * 
41   */
42  public final class PercentLengthLearning<D extends DataStructureFactory>
43          extends LimitedLearning<D> {
44  
45      /**
46       * 
47       */
48      private static final long serialVersionUID = 1L;
49      private int maxpercent;
50      private int bound;
51  
52      public PercentLengthLearning() {
53          this(10);
54      }
55  
56      public PercentLengthLearning(int percent) {
57          this.maxpercent = percent;
58      }
59  
60      public void setLimit(int percent) {
61          this.maxpercent = percent;
62      }
63  
64      public int getLimit() {
65          return this.maxpercent;
66      }
67  
68      @Override
69      public void init() {
70          super.init();
71          setBound(this.lits.realnVars() * this.maxpercent / 100);
72      }
73  
74      @Override
75      public String toString() {
76          return "Limit learning to clauses of size smaller or equal to " //$NON-NLS-1$
77                  + this.maxpercent + "% of the number of variables"; //$NON-NLS-1$
78      }
79  
80      protected void setBound(int newbound) {
81          this.bound = newbound;
82      }
83  
84      @Override
85      protected boolean learningCondition(Constr constr) {
86          return constr.size() <= this.bound;
87      }
88  
89  }