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ortools-clone/examples/tests/TestSat.java

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2019-01-14 14:38:00 +01:00
// Copyright 2010-2018 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.
import com.google.ortools.sat.CpModel;
import com.google.ortools.sat.CpSolver;
import com.google.ortools.sat.CpSolverStatus;
import com.google.ortools.sat.IntVar;
import static org.junit.Assert.*;
/** Tests the CP-SAT java interface. */
public class TestSat {
static {
System.loadLibrary("jniortools");
}
static void testCrashInPresolve() {
CpModel model = new CpModel();
// Create decision variables
IntVar x = model.newIntVar(0, 5, "x");
IntVar y = model.newIntVar(0, 5, "y");
// Create a linear constraint which enforces that only x or y can be greater
// than 0.
model.addLinearSum(new IntVar[] { x, y }, 0, 1);
// Create the objective variable
IntVar obj = model.newIntVar(0, 3, "obj");
// Cut the domain of the objective variable
model.addGreaterOrEqual(obj, 2);
// Set a constraint that makes the problem infeasible
model.addMaxEquality(obj, new IntVar[] { x, y });
// Optimize objective
model.minimize(obj);
// Create a solver and solve the model.
CpSolver solver = new CpSolver();
com.google.ortools.sat.CpSolverStatus status = solver.solve(model);
assertEquals(status, CpSolverStatus.FEASIBLE);
}
public static void main(String[] args) throws Exception {
testCrashInPresolve();
}
}