*/
  public static boolean hasCycle(Network<?, ?> network) {
    // In a directed graph, parallel edges cannot introduce a cycle in an acyclic graph.
    // However, in an undirected graph, any parallel edge induces a cycle in the graph.
    if (!network.isDirected()
        && network.allowsParallelEdges()
        && network.edges().size() > network.asGraph().edges().size()) {

   */
  public static boolean hasCycle(Network<?, ?> network) {
    // In a directed graph, parallel edges cannot introduce a cycle in an acyclic graph.
    // However, in an undirected graph, any parallel edge induces a cycle in the graph.
    if (!network.isDirected()
        && network.allowsParallelEdges()
        && network.edges().size() > network.asGraph().edges().size()) {

   * note that the execution order of all listeners is ultimately chosen by the implementations of
   * the supplied executors.
   *
   * <p>This method is idempotent. Calling it several times in parallel is semantically equivalent
   * to calling it exactly once.
   *
   * @since 10.0 (present in 1.0 as {@code run})
   */
  public void execute() {

  final String delimiter = "-";
  final String key = "key";
  Cache<String, String> cache;

  // helper
  private static void doParallelCacheOp(int count, IntConsumer consumer) {
    IntStream.range(0, count).parallel().forEach(consumer);
  }

  @Override
  public void setUp() throws Exception {
    super.setUp();
    this.cache =
        CacheBuilder.newBuilder()
            .expireAfterAccess(500000, MILLISECONDS)

## Recap { #recap }

You can use multiple worker processes with the `--workers` CLI option with the `fastapi` or `uvicorn` commands to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.

You could use these tools and ideas if you are setting up **your own deployment system** while taking care of the other deployment concepts yourself.

Since HTTP requests frequently happen in parallel, connection pooling must be thread-safe.

These are the primary classes involved with establishing, sharing, and terminating connections:

    multipartBody.writeTo(Buffer())
    val mixed: MediaType = MultipartBody.MIXED
    val alternative: MediaType = MultipartBody.ALTERNATIVE
    val digest: MediaType = MultipartBody.DIGEST
    val parallel: MediaType = MultipartBody.PARALLEL
    val form: MediaType = MultipartBody.FORM
  }

  @Test
  fun multipartBodyPart() {
    val requestBody: RequestBody = "".toRequestBody(null)

   *
   * <p><b>Performance note:</b> The resulting stream is not <a
   * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>.
   * This may harm parallel performance.
   */
  @Beta
  public static <A extends @Nullable Object, B extends @Nullable Object, R extends @Nullable Object>
      Stream<R> zip(

   * note that the execution order of all listeners is ultimately chosen by the implementations of
   * the supplied executors.
   *
   * <p>This method is idempotent. Calling it several times in parallel is semantically equivalent
   * to calling it exactly once.
   *
   * @since 10.0 (present in 1.0 as {@code run})
   */
  public void execute() {

		numHealers = 4
	}
	// allow overriding this value as well..
	if v := globalHealConfig.GetWorkers(); v > 0 {
		numHealers = uint64(v)
	}

	healingLogEvent(ctx, "Healing drive '%s' - use %d parallel workers.", tracker.disk.String(), numHealers)

	jt, _ := workers.New(int(numHealers))

	healEntryDone := func(name string) healEntryResult {
		return healEntryResult{
			entryDone: true,
			name:      name,