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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.IConstr;
35  import org.sat4j.specs.ISolver;
36  import org.sat4j.specs.IVecInt;
37  import org.sat4j.specs.TimeoutException;
38  
39  /**
40   * Computes models with a minimal subset (with respect to set inclusion) of
41   * negative literals. This is done be adding a clause containing the negation of
42   * the negative literals appearing in the model found (which prevents any
43   * interpretation containing that subset of negative literals to be a model of
44   * the formula).
45   * 
46   * Computes only one model minimal for inclusion, since there is currently no
47   * way to save the state of the solver.
48   * 
49   * @author leberre
50   * 
51   * @see org.sat4j.specs.ISolver#addClause(IVecInt)
52   */
53  public class Minimal4InclusionModel extends AbstractMinimalModel {
54  
55      private static final long serialVersionUID = 1L;
56  
57      private int[] prevfullmodel;
58  
59      /**
60       * 
61       * @param solver
62       * @param p
63       *            the set of literals on which the minimality for inclusion is
64       *            computed.
65       * @param modelListener
66       *            an object to be notified when a new model is found.
67       */
68      public Minimal4InclusionModel(ISolver solver, IVecInt p,
69              SolutionFoundListener modelListener) {
70          super(solver, p, modelListener);
71      }
72  
73      /**
74       * 
75       * @param solver
76       * @param p
77       *            the set of literals on which the minimality for inclusion is
78       *            computed.
79       */
80      public Minimal4InclusionModel(ISolver solver, IVecInt p) {
81          this(solver, p, SolutionFoundListener.VOID);
82      }
83  
84      /**
85       * @param solver
86       */
87      public Minimal4InclusionModel(ISolver solver) {
88          this(solver, negativeLiterals(solver), SolutionFoundListener.VOID);
89      }
90  
91      /*
92       * (non-Javadoc)
93       * 
94       * @see org.sat4j.ISolver#model()
95       */
96      @Override
97      public int[] model() {
98          int[] prevmodel = null;
99          IVecInt vec = new VecInt();
100         IVecInt cube = new VecInt();
101         IConstr prevConstr = null;
102         try {
103             do {
104                 prevfullmodel = super.modelWithInternalVariables();
105                 prevmodel = super.model();
106                 modelListener.onSolutionFound(prevmodel);
107                 vec.clear();
108                 cube.clear();
109                 for (int q : prevfullmodel) {
110                     if (pLiterals.contains(q)) {
111                         vec.push(-q);
112                     } else if (pLiterals.contains(-q)) {
113                         cube.push(q);
114                     }
115                 }
116                 if (prevConstr != null) {
117                     removeSubsumedConstr(prevConstr);
118                 }
119                 prevConstr = addBlockingClause(vec);
120             } while (isSatisfiable(cube));
121         } catch (TimeoutException e) {
122             throw new IllegalStateException("Solver timed out");
123         } catch (ContradictionException e) {
124             // added trivial unsat clauses
125         }
126 
127         return prevmodel;
128 
129     }
130 
131     @Override
132     public int[] modelWithInternalVariables() {
133         model();
134         return prevfullmodel;
135     }
136 }