um ein „asynchrones“ System handelt, kann die Aufgabe nach Abschluss ein wenig (einige Mikrosekunden) in der Schlange warten, bis das System / Programm seine anderen Dinge erledigt hat und zurückkommt, um die Ergebnisse entgegenzunehmen und mit ihnen weiterzuarbeiten.

Für „synchron“ (im Gegensatz zu „asynchron“) wird auch oft der Begriff „sequentiell“ verwendet, da das System / Programm alle Schritte in einer Sequenz („der Reihe nach“) ausführt, bevor es zu einer anderen Aufgabe wechselt,...

   * previously configured separator between each.
   */
  public final String join(Iterable<? extends @Nullable Object> parts) {
    return join(parts.iterator());
  }

  /**
   * Returns a string containing the string representation of each of {@code parts}, using the
   * previously configured separator between each.
   *
   * @since 11.0
   */

   * previously configured separator between each.
   */
  public final String join(Iterable<? extends @Nullable Object> parts) {
    return join(parts.iterator());
  }

  /**
   * Returns a string containing the string representation of each of {@code parts}, using the
   * previously configured separator between each.
   *
   * @since 11.0
   */

  // pods refers to a metric describing each pod in the current scale target
  // (for example, transactions-processed-per-second).  The values will be
  // averaged together before being compared to the target value.
  // +optional
  optional PodsMetricSource pods = 3;

  // resource refers to a resource metric (such as those specified in
  // requests and limits) known to Kubernetes describing each pod in the

  // pods refers to a metric describing each pod in the current scale target
  // (for example, transactions-processed-per-second).  The values will be
  // averaged together before being compared to the target value.
  // +optional
  optional PodsMetricSource pods = 3;

  // resource refers to a resource metric (such as those specified in
  // requests and limits) known to Kubernetes describing each pod in the

containing debug information. Cgo parses the DWARF debug information
for __cgo__N to learn the type of each identifier. (The types also
distinguish functions from global variables.) Cgo reads the constant
values from the __cgodebug_* from the object file's data segment.

At this point cgo knows the meaning of each C.xxx well enough to start
the translation process.

Translating Go

  /**
   * Returns {@code true} if for each member range in {@code other} there exists a member range in
   * this range set which {@linkplain Range#encloses encloses} it. It follows that {@code
   * this.contains(value)} whenever {@code other.contains(value)}. Returns {@code true} if {@code
   * other} is empty.
   *
   * <p>This is equivalent to checking if this range set {@link #encloses} each of the ranges in
   * {@code other}.
   */

   * first specified. That is, if multiple elements are {@linkplain Object#equals equal}, all except
   * the first are ignored.
   */
  public static <E> ImmutableSet<E> of(E e1, E e2) {
    return construct(2, e1, e2);
  }

  /**
   * Returns an immutable set containing the given elements, minus duplicates, in the order each was

  // pods refers to a metric describing each pod in the current scale target
  // (for example, transactions-processed-per-second).  The values will be
  // averaged together before being compared to the target value.
  // +optional
  optional PodsMetricSource pods = 3;

  // resource refers to a resource metric (such as those specified in
  // requests and limits) known to Kubernetes describing each pod in the

    `CMD` takes a list of strings, each of these strings is what you would type in the command line separated by spaces.

    This command will be run from the **current working directory**, the same `/code` directory you set above with `WORKDIR /code`.

!!! tip
    Review what each line does by clicking each number bubble in the code. 👆

You should now have a directory structure like: