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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.tools;
31  
32  import org.sat4j.core.VecInt;
33  import org.sat4j.specs.ContradictionException;
34  import org.sat4j.specs.ISolver;
35  import org.sat4j.specs.IVecInt;
36  import org.sat4j.specs.TimeoutException;
37  
38  /**
39   * Computes models with a minimal subset (with respect to set inclusion) of
40   * negative literals. This is done be adding a clause containing the negation of
41   * the negative literals appearing in the model found (which prevents any
42   * interpretation containing that subset of negative literals to be a model of
43   * the formula).
44   * 
45   * Computes only one model minimal for inclusion, since there is currently no
46   * way to save the state of the solver.
47   * 
48   * @author leberre
49   * 
50   * @see org.sat4j.specs.ISolver#addClause(IVecInt)
51   */
52  public class Minimal4InclusionModel extends AbstractMinimalModel {
53  
54      private static final long serialVersionUID = 1L;
55  
56      private int[] prevfullmodel;
57  
58      /**
59       * 
60       * @param solver
61       * @param p
62       *            the set of literals on which the minimality for inclusion is
63       *            computed.
64       * @param modelListener
65       *            an object to be notified when a new model is found.
66       */
67      public Minimal4InclusionModel(ISolver solver, IVecInt p,
68              SolutionFoundListener modelListener) {
69          super(solver, p, modelListener);
70      }
71  
72      /**
73       * 
74       * @param solver
75       * @param p
76       *            the set of literals on which the minimality for inclusion is
77       *            computed.
78       */
79      public Minimal4InclusionModel(ISolver solver, IVecInt p) {
80          this(solver, p, SolutionFoundListener.VOID);
81      }
82  
83      /**
84       * @param solver
85       */
86      public Minimal4InclusionModel(ISolver solver) {
87          this(solver, negativeLiterals(solver), SolutionFoundListener.VOID);
88      }
89  
90      /*
91       * (non-Javadoc)
92       * 
93       * @see org.sat4j.ISolver#model()
94       */
95      @Override
96      public int[] model() {
97          int[] prevmodel = null;
98          IVecInt vec = new VecInt();
99          IVecInt cube = new VecInt();
100         try {
101             do {
102                 prevfullmodel = super.modelWithInternalVariables();
103                 prevmodel = super.model();
104                 modelListener.onSolutionFound(prevmodel);
105                 vec.clear();
106                 cube.clear();
107                 for (int q : prevfullmodel) {
108                     if (pLiterals.contains(q)) {
109                         vec.push(-q);
110                     } else {
111                         cube.push(q);
112                     }
113                 }
114                 addBlockingClause(vec);
115             } while (isSatisfiable(cube));
116         } catch (TimeoutException e) {
117             throw new IllegalStateException("Solver timed out");
118         } catch (ContradictionException e) {
119             // added trivial unsat clauses
120         }
121 
122         return prevmodel;
123 
124     }
125 
126     @Override
127     public int[] modelWithInternalVariables() {
128         model();
129         return prevfullmodel;
130     }
131 }