public Set<EndpointPair<N>> edges() {
        if (allowsParallelEdges()) {
          return super.edges(); // Defer to AbstractGraph implementation.
        }

        // Optimized implementation assumes no parallel edges (1:1 edge to EndpointPair mapping).
        return new AbstractSet<EndpointPair<N>>() {
          @Override
          public Iterator<EndpointPair<N>> iterator() {
            return Iterators.transform(

	clocked := make(chan bool)
	cunlock := make(chan bool)
	cdone := make(chan bool)
	for range numReaders {
		go parallelReader(context.Background(), m, clocked, cunlock, cdone)
	}
	// Wait for all parallel RLock()s to succeed.
	for range numReaders {
		<-clocked
	}
	for range numReaders {
		cunlock <- true
	}
	// Wait for the goroutines to finish.
	for range numReaders {
		<-cdone
	}
}

## Zusammenfassung { #recap }

Sie können mehrere Workerprozesse mit der `--workers`-CLI-Option über die `fastapi`- oder `uvicorn`-Befehle nutzen, um **Multikern-CPUs** auszunutzen und **mehrere Prozesse parallel** auszuführen.

Sie könnten diese Tools und Ideen nutzen, wenn Sie **Ihr eigenes Deployment-System** einrichten und sich dabei selbst um die anderen Deployment-Konzepte kümmern.

                String str = ownerMojo != null ? " The " + ownerMojo.getId() : "An";
                String msg = str + " aggregator mojo is already being executed "
                        + "in this parallel build, those kind of mojos require exclusive access to "
                        + "reactor to prevent race conditions. This mojo execution will be blocked "
                        + "until the aggregator mojo is done.";

// loadFormatErasureAll - load all format config from all input disks in parallel.
func loadFormatErasureAll(storageDisks []StorageAPI, heal bool) ([]*formatErasureV3, []error) {
	// Initialize list of errors.
	g := errgroup.WithNErrs(len(storageDisks))

	// Initialize format configs.
	formats := make([]*formatErasureV3, len(storageDisks))

	// Load format from each disk in parallel
	for index := range storageDisks {
		g.Go(func() error {

      public Set<EndpointPair<N>> edges() {
        if (allowsParallelEdges()) {
          return super.edges(); // Defer to AbstractGraph implementation.
        }

        // Optimized implementation assumes no parallel edges (1:1 edge to EndpointPair mapping).
        return new AbstractSet<EndpointPair<N>>() {
          @Override
          public Iterator<EndpointPair<N>> iterator() {
            return Iterators.transform(

      public boolean isDirected() {
        return AbstractBaseGraph.this.isDirected();
      }

      @Override
      public boolean allowsParallelEdges() {
        return false; // Graph doesn't allow parallel edges
      }

      @Override
      public boolean allowsSelfLoops() {
        return AbstractBaseGraph.this.allowsSelfLoops();
      }

      @Override
      public ElementOrder<N> nodeOrder() {

		{
			"testdata/unix.zip",
			[]string{"hello", "dir/bar", "readonly"},
		},
		{
			"testdata/subdir.zip",
			[]string{"a/b/c"},
		},
	} {
		t.Run(test.file, func(t *testing.T) {
			t.Parallel()
			z, err := OpenReader(test.file)
			if err != nil {
				t.Fatal(err)
			}
			defer z.Close()
			if err := fstest.TestFS(z, test.want...); err != nil {
				t.Error(err)
			}
		})
	}

   *
   * <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(

    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)