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Provide parsers from FlatZinc, XCSP3 and MSP to Choco-solver.
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/*
* This file is part of choco-parsers, http://choco-solver.org/
*
* Copyright (c) 2024, IMT Atlantique. All rights reserved.
*
* Licensed under the BSD 4-clause license.
*
* See LICENSE file in the project root for full license information.
*/
package org.chocosolver.parser.flatzinc.ast.searches;
import org.chocosolver.solver.Model;
import org.chocosolver.solver.search.limits.FailCounter;
import org.chocosolver.solver.search.strategy.Search;
import org.chocosolver.solver.search.strategy.assignments.DecisionOperator;
import org.chocosolver.solver.search.strategy.assignments.DecisionOperatorFactory;
import org.chocosolver.solver.search.strategy.selectors.values.*;
import org.chocosolver.solver.search.strategy.selectors.variables.*;
import org.chocosolver.solver.search.strategy.strategy.AbstractStrategy;
import org.chocosolver.solver.search.strategy.strategy.IntStrategy;
import org.chocosolver.solver.variables.IntVar;
/**
*
*
* @author Charles Prud'homme
* @since 27/01/11
*/
public class IntSearch {
private IntSearch() {
}
public static AbstractStrategy build(IntVar[] variables, VarChoice varChoice, Assignment assignment, Model model) {
VariableSelector varsel = variableSelector(variables, varChoice, model);
if (varsel == null) { // free search
model.getSolver().setNoGoodRecordingFromRestarts();
model.getSolver().setLubyRestart(500, new FailCounter(model, 0), 500);
return Search.intVarSearch(variables);
}
return valueSelector(variables, varsel, assignment, model);
}
private static VariableSelector variableSelector(IntVar[] variables, VarChoice varChoice, Model model) {
switch (varChoice) {
case input_order:
return new InputOrder<>(model);
case first_fail:
return new FirstFail(model);
case anti_first_fail:
return new AntiFirstFail(model);
case smallest:
return new Smallest();
case largest:
return new Largest();
case occurrence:
return new Occurrence<>();
case most_constrained:
// It chooses the variable with the smallest value in its domain, breaking ties using the number of propagators
return new VariableSelectorWithTies<>(new Smallest(), new Occurrence<>());
case max_regret:
return new MaxRegret();
case dom_w_deg:
return new DomOverWDeg<>(variables, variables[0].getModel().getSeed());
default:
System.err.println("% No implementation for " + varChoice.name() + ". Set default.");
return null;
}
}
private static IntStrategy valueSelector(IntVar[] scope, VariableSelector variableSelector,
Assignment assignmennt, Model model) {
IntValueSelector valSelector;
DecisionOperator assgnt = DecisionOperatorFactory.makeIntEq();
switch (assignmennt) {
case indomain:
case indomain_min:
valSelector = new IntDomainMin();
break;
case indomain_max:
valSelector = new IntDomainMax();
break;
case indomain_middle:
valSelector = new IntDomainMiddle(IntDomainMiddle.FLOOR);
break;
case indomain_median:
valSelector = new IntDomainMedian();
break;
case indomain_random:
valSelector = new IntDomainRandom(model.getSeed());
break;
case indomain_split:
case indomain_interval:
valSelector = new IntDomainMiddle(IntDomainMiddle.FLOOR);
assgnt = DecisionOperatorFactory.makeIntSplit();
break;
case indomain_reverse_split:
valSelector = new IntDomainMiddle(!IntDomainMiddle.FLOOR);
assgnt = DecisionOperatorFactory.makeIntReverseSplit();
break;
default:
System.err.println("% No implementation for " + assignmennt.name() + ". Set default.");
valSelector = new IntDomainMin();
}
return new IntStrategy(scope, variableSelector, valSelector, assgnt);
}
}