Files
ortools-clone/ortools/sat/samples/SolutionHintingSampleSat.java
Corentin Le Molgat c34026b101 Bump copyright to 2025
note: done using
```sh
git grep -l "2010-2024 Google" | xargs sed -i 's/2010-2024 Google/2010-2025 Google/'
```
2025-01-10 11:33:35 +01:00

85 lines
2.7 KiB
Java

// Copyright 2010-2025 Google LLC
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// [START program]
package com.google.ortools.sat.samples;
import com.google.ortools.Loader;
import com.google.ortools.sat.CpModel;
import com.google.ortools.sat.CpSolver;
import com.google.ortools.sat.CpSolverSolutionCallback;
import com.google.ortools.sat.CpSolverStatus;
import com.google.ortools.sat.IntVar;
import com.google.ortools.sat.LinearExpr;
/** Minimal CP-SAT example to showcase calling the solver. */
public class SolutionHintingSampleSat {
public static void main(String[] args) throws Exception {
Loader.loadNativeLibraries();
// Create the model.
// [START model]
CpModel model = new CpModel();
// [END model]
// Create the variables.
// [START variables]
int numVals = 3;
IntVar x = model.newIntVar(0, numVals - 1, "x");
IntVar y = model.newIntVar(0, numVals - 1, "y");
IntVar z = model.newIntVar(0, numVals - 1, "z");
// [END variables]
// Create the constraints.
// [START constraints]
model.addDifferent(x, y);
// [END constraints]
// [START objective]
model.maximize(LinearExpr.weightedSum(new IntVar[] {x, y, z}, new long[] {1, 2, 3}));
// [END objective]
// Solution hinting: x <- 1, y <- 2
model.addHint(x, 1);
model.addHint(y, 2);
// Create a solver and solve the model.
// [START solve]
CpSolver solver = new CpSolver();
VarArraySolutionPrinterWithObjective cb =
new VarArraySolutionPrinterWithObjective(new IntVar[] {x, y, z});
CpSolverStatus unusedStatus = solver.solve(model, cb);
// [END solve]
}
static class VarArraySolutionPrinterWithObjective extends CpSolverSolutionCallback {
public VarArraySolutionPrinterWithObjective(IntVar[] variables) {
variableArray = variables;
}
@Override
public void onSolutionCallback() {
System.out.printf("Solution #%d: time = %.02f s%n", solutionCount, wallTime());
System.out.printf(" objective value = %f%n", objectiveValue());
for (IntVar v : variableArray) {
System.out.printf(" %s = %d%n", v.getName(), value(v));
}
solutionCount++;
}
private int solutionCount;
private final IntVar[] variableArray;
}
}
// [END program]