log += "one:run@${taskFaker.nanoTime} parallel=${taskFaker.isParallel}"
    }

    redQueue.execute("task two", 100.µs) {
      log += "two:run@${taskFaker.nanoTime} parallel=${taskFaker.isParallel}"
    }

    redQueue.execute("task three", 100.µs) {
      log += "three:run@${taskFaker.nanoTime} parallel=${taskFaker.isParallel}"
    }

    taskFaker.advanceUntil(0.µs)

<img src="/img/async/parallel-burgers/parallel-burgers-01.png" class="illustration">

Então é finalmente sua vez, você pede 2 hambúrgueres muito saborosos para você e seu _crush_.

Você paga 💸.

<img src="/img/async/parallel-burgers/parallel-burgers-02.png" class="illustration">

O caixa vai para a cozinha.

   * make it load its own version of FinalizableReferenceQueue. Then we need to interact with that
   * parallel version through reflection in order to exercise the parallel
   * FinalizableReferenceQueue, and then check that the parallel ClassLoader can be
   * garbage-collected after that.
   */

  public static class MyFinalizableWeakReference extends FinalizableWeakReference<Object> {

### Parallel Burgers { #parallel-burgers }

Now let's imagine these aren't "Concurrent Burgers", but "Parallel Burgers".

You go with your crush to get parallel fast food.

You stand in line while several (let's say 8) cashiers that at the same time are cooks take the orders from the people in front of you.

    "groups" : [ {
      "testProject" : "excludeRuleMergingBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
    "groups" : [ {

<img src="/img/async/parallel-burgers/parallel-burgers-01.png" class="illustration">

Наконец ваша очередь: вы заказываете 2 очень «навороченных» бургера — для вашей возлюбленной и для себя.

Вы платите 💸.

<img src="/img/async/parallel-burgers/parallel-burgers-02.png" class="illustration">

Кассир уходит на кухню.

                session.getProjects().size());
        boolean parallel = nThreads > 1;
        // Propagate the parallel flag to the root session and all the cloned sessions in each project segment
        session.setParallel(parallel);
        for (ProjectSegment segment : projectBuilds) {
            segment.getSession().setParallel(parallel);
        }

<img src="/img/async/parallel-burgers/parallel-burgers-01.png" class="illustration">

Luego, finalmente es tu turno, haces tu pedido de 2 hamburguesas muy sofisticadas para tu crush y para ti.

Pagas 💸.

<img src="/img/async/parallel-burgers/parallel-burgers-02.png" class="illustration">

El cajero va a la cocina.

<img src="/img/async/parallel-burgers/parallel-burgers-01.png" class="illustration">

Dann sind Sie endlich an der Reihe und bestellen zwei sehr leckere Burger für Ihren Schwarm und Sie.

Sie zahlen 💸.

<img src="/img/async/parallel-burgers/parallel-burgers-02.png" class="illustration">

Der Kassierer geht in die Küche.

/**
 * A class to represent the set of edges connecting an (implicit) origin node to a target node.
 *
 * <p>The {@link #nodeToOutEdge} map means this class only works on networks without parallel edges.
 * See {@link MultiEdgesConnecting} for a class that works with parallel edges.
 *
 * @author James Sexton
 * @param <E> Edge parameter type
 */
final class EdgesConnecting<E> extends AbstractSet<E> {

  private final Map<?, E> nodeToOutEdge;