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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
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 * (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.IntVar;
import org.chocosolver.solver.variables.VariableFactory;
import org.chocosolver.util.ESat;

/**
 * Simple example using a sum constraint on a large set of variables
 *
 * @author Jean-Guillaume Fages
 * @since 22/06/12
 */
public class BigSum extends AbstractProblem {

    int n = 1000;

    IntVar[] vars;

    @Override
    public void createSolver() {
        solver = new Solver("BigSum");
    }

    @Override
    public void buildModel() {
        vars = VariableFactory.boundedArray("v", n, 0, 5000, solver);
        solver.post(IntConstraintFactory.sum(vars, VariableFactory.fixed(500000, solver)));
        solver.post(IntConstraintFactory.alldifferent(vars, "BC"));
    }

    @Override
    public void configureSearch() {
        solver.set(IntStrategyFactory.lexico_LB(vars));
    }

    @Override
    public void solve() {
        solver.findSolution();
    }

    @Override
    public void prettyOut() {
        System.out.println("big sum");
        StringBuilder st = new StringBuilder();
        if (solver.isFeasible() == ESat.TRUE) {
            for (int i = 0; i < n; i++) {
                st.append(vars[i].getValue()).append(", ");
            }
        } else {
            st.append("\tINFEASIBLE");
        }
        System.out.println(st.toString());
    }

    public static void main(String[] args) {
        new BigSum().execute(args);
    }
}




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