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MultiThreadTest.java
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MultiThreadTest.java
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package com.google.ortools.contrib;
import com.google.ortools.linearsolver.MPConstraint;
import com.google.ortools.linearsolver.MPObjective;
import com.google.ortools.linearsolver.MPSolver;
import com.google.ortools.linearsolver.MPSolver.OptimizationProblemType;
import com.google.ortools.linearsolver.MPSolver.ResultStatus;
import com.google.ortools.linearsolver.MPVariable;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.UUID;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
public class MultiThreadTest {
static {
System.loadLibrary("jniortools");
}
private static final boolean verboseOutput = false; // To enable Cbc logging
public static void main(String[] args) throws Exception {
launchProtocol(10, 8, true);
System.out.println("Cbc multi thread test successful");
return;
}
public static void launchProtocol(int wholeLoopAttmpts, int threadPoolSize, boolean runInParallel)
throws Exception {
for (int noAttmpt = 0; noAttmpt < wholeLoopAttmpts; noAttmpt++) {
System.out.println(String.format("Attempt %d", noAttmpt));
int maxThreads = threadPoolSize;
List<SolverThread> threadList = new ArrayList<SolverThread>();
for (int i = 0; i < maxThreads; i++) {
SolverThread thread = new SolverThread();
threadList.add(thread);
}
ExecutorService executor = Executors.newFixedThreadPool(maxThreads);
if (runInParallel) {
System.out.println("Launching thread pool");
executor.invokeAll(threadList);
for (SolverThread thread : threadList) {
System.out.println(thread.getStatusSolver().toString());
}
} else {
for (SolverThread thread : threadList) {
System.out.println("Launching single thread");
executor.invokeAll(Arrays.asList(thread));
System.out.println(thread.getStatusSolver().toString());
}
}
System.out.println("Attempt finalized!");
executor.shutdown();
}
System.out.println("Now exiting multi thread execution");
}
private static MPSolver makeProblem() {
MPSolver solver =
new MPSolver(
UUID.randomUUID().toString(), OptimizationProblemType.CBC_MIXED_INTEGER_PROGRAMMING);
double infinity = MPSolver.infinity();
// x1 and x2 are integer non-negative variables.
MPVariable x1 = solver.makeIntVar(0.0, infinity, "x1");
MPVariable x2 = solver.makeIntVar(0.0, infinity, "x2");
// Minimize x1 + 2 * x2.
MPObjective objective = solver.objective();
objective.setCoefficient(x1, 1);
objective.setCoefficient(x2, 2);
// 2 * x2 + 3 * x1 >= 17.
MPConstraint ct = solver.makeConstraint(17, infinity);
ct.setCoefficient(x1, 3);
ct.setCoefficient(x2, 2);
if (verboseOutput) {
solver.enableOutput();
}
return solver;
}
private static final class SolverThread implements Callable<MPSolver.ResultStatus> {
private MPSolver.ResultStatus statusSolver;
public SolverThread() {}
@Override
public ResultStatus call() throws Exception {
MPSolver solver = makeProblem();
statusSolver = solver.solve();
// Check that the problem has an optimal solution.
if (MPSolver.ResultStatus.OPTIMAL.equals(statusSolver)) {
throw new RuntimeException("Non OPTIMAL status after solve.");
}
return statusSolver;
}
public MPSolver.ResultStatus getStatusSolver() {
return statusSolver;
}
}
}