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/**
* Copyright (c) 2015, Ecole des Mines de Nantes
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* 3. All advertising materials mentioning features or use of this software
* must display the following acknowledgement:
* This product includes software developed by the .
* 4. Neither the name of the nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY ''AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package org.chocosolver.samples.integer;
import org.chocosolver.samples.AbstractProblem;
import org.chocosolver.solver.Solver;
import org.chocosolver.solver.constraints.IntConstraintFactory;
import org.chocosolver.solver.search.strategy.IntStrategyFactory;
import org.chocosolver.solver.variables.BoolVar;
import org.chocosolver.solver.variables.VariableFactory;
import org.chocosolver.util.ESat;
import org.chocosolver.util.tools.ArrayUtils;
import org.kohsuke.args4j.Option;
/**
* CSPLib: prob015:
* "The problem is to put n balls labelled {1,...n} into 3 boxes so that
* for any triple of balls (x,y,z) with x+y=z, not all are in the same box.
* This has a solution iff n < 14.
*
* One natural generalization is to consider partitioning into k boxes (for k>3)."
*
*
*
* @author Charles Prud'homme
* @since 19/08/11
*/
public class SchurLemma extends AbstractProblem {
@Option(name = "-n", usage = "Number of balls.", required = false)
int n = 43;
@Option(name = "-k", usage = "Number of boxes.", required = false)
int k = 4;
BoolVar[][] M;
@Override
public void createSolver() {
solver = new Solver();
}
@Override
public void buildModel() {
M = VariableFactory.boolMatrix("b", n, k, solver); // M_ij is true iff ball i is in box j
for (int i = 0; i < n; i++) {
solver.post(IntConstraintFactory.sum(M[i], VariableFactory.fixed(1, solver)));
}
for (int i = 0; i < k; i++) {
for (int x = 1; x <= n; x++) {
for (int y = 1; y <= n; y++) {
for (int z = 1; z <= n; z++) {
if (x + y == z)
solver.post(IntConstraintFactory.sum(new BoolVar[]{M[x - 1][i], M[y - 1][i], M[z - 1][i]}, VariableFactory.bounded("sum", 0, 2, solver)));
}
}
}
}
}
@Override
public void configureSearch() {
solver.set(IntStrategyFactory.lexico_LB(ArrayUtils.flatten(M)));
}
@Override
public void solve() {
solver.findSolution();
}
@Override
public void prettyOut() {
System.out.println(String.format("Schur's lemma (%d,%d)", n, k));
StringBuilder st = new StringBuilder();
if (solver.isFeasible() == ESat.TRUE) {
for (int i = 0; i < k; i++) {
st.append("\tBox #").append(i + 1).append(": ");
for (int j = 0; j < n; j++) {
if (M[j][i].getValue() > 0) {
st.append(j + 1).append(" ");
}
}
st.append("\n");
}
} else {
st.append("\tINFEASIBLE");
}
System.out.println(st.toString());
}
public static void main(String[] args) {
new SchurLemma().execute(args);
}
}