* an edge connecting node A to node B if this {@link Network} has an edge connecting A to B.
   *
   * <p>If this network {@link #allowsParallelEdges() allows parallel edges}, parallel edges will be
   * treated as if collapsed into a single edge. For example, the {@link #degree(Object)} of a node
   * in the {@link Graph} view may be less than the degree of the same node in this {@link Network}.
   */

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

Then it's finally your turn, you place your order of 2 very fancy burgers for your crush and you.

You pay 💸.

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

The cashier goes to the kitchen.

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

            status, TF_INVALID_ARGUMENT,
            absl::StrCat(
                "Got a non-parallel tensor ",
                tensorflow::unwrap(absl::get<TFE_TensorHandle*>(input))
                    ->DebugString(),
                " as input to a parallel operation. First pack non-parallel "
                "tensors for each device into a parallel tensor explicitly.")
                .c_str());
        return absl::nullopt;
      }

        }
        try {
            final long start = System.currentTimeMillis();
            final Stream<QueryLog> stream = Stream.of(queryLogs);
            if (parallel) {
                stream.parallel();
            }
            final SuggestItem[] array = stream
                    .flatMap(queryLog -> contentsParser

<img src="https://fastapi.tiangolo.com/img/async/parallel-burgers/parallel-burgers-01.png" alt="illustration">

Entonces finalmente es tu turno, haces tu pedido de 2 hamburguesas 🍔 impresionantes para esa persona 😍 y para ti.

Pagas 💸.

<img src="https://fastapi.tiangolo.com/img/async/parallel-burgers/parallel-burgers-02.png" alt="illustration">

El cajero va a la cocina 👨‍🍳.

        }
    }

    public Date getStartTime() {
        return request.getStartTime();
    }

    public boolean isParallel() {
        return parallel;
    }

    public void setParallel(boolean parallel) {
        this.parallel = parallel;
    }

    public RepositorySystemSession getRepositorySession() {
        return repositorySystemSession;
    }

/**
 * 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
 */
@ElementTypesAreNonnullByDefault
final class EdgesConnecting<E> extends AbstractSet<E> {

// two component devices, running `x = TPUReplicatedInput(inputs=[a, b])` on the
// parallel device creates a parallel tensor `x` with `a` on the first of
// `underlying_devices` and `b` on the second. Running `a_unpacked, b_unpacked =
// TPUReplicatedOutput(input=x, num_replicas=2)` un-packs the parallel tensor
// into its components.
//
// The filled `device` struct and the allocated `device_info` struct may be

  "durations" : [ {
    "testProject" : "excludeRuleMergingBuild",
    "linux" : 229
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
  "durations" : [ {