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1   /*******************************************************************************
2    * SAT4J: a SATisfiability library for Java Copyright (C) 2004-2008 Daniel Le Berre
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   *******************************************************************************/
28  package org.sat4j.minisat.learning;
29  
30  import org.sat4j.minisat.core.Constr;
31  import org.sat4j.minisat.core.DataStructureFactory;
32  
33  /**
34   * Selects the constraints to learn according to its length as a percentage of
35   * the total number of variables in the solver universe.
36   * 
37   * @author daniel
38   * 
39   */
40  public final class PercentLengthLearning<D extends DataStructureFactory>
41  		extends LimitedLearning<D> {
42  
43  	/**
44       * 
45       */
46  	private static final long serialVersionUID = 1L;
47  	private int maxpercent;
48  	private int bound;
49  
50  	public PercentLengthLearning() {
51  		this(10);
52  	}
53  
54  	public PercentLengthLearning(int percent) {
55  		maxpercent = percent;
56  	}
57  
58  	public void setLimit(int percent) {
59  		maxpercent = percent;
60  	}
61  
62  	public int getLimit() {
63  		return maxpercent;
64  	}
65  
66  	@Override
67  	public void init() {
68  		super.init();
69  		setBound(lits.realnVars() * maxpercent / 100);
70  	}
71  
72  	@Override
73  	public String toString() {
74  		return "Limit learning to clauses of size smaller or equal to " //$NON-NLS-1$
75  				+ maxpercent + "% of the number of variables"; //$NON-NLS-1$
76  	}
77  
78  	protected void setBound(int newbound) {
79  		bound = newbound;
80  	}
81  
82  	@Override
83  	protected boolean learningCondition(Constr constr) {
84  		return constr.size() <= bound;
85  	}
86  
87  }