Maar stel je voor dat je weer bezig bent met het maken van een functie, maar deze keer met type hints.

Op hetzelfde moment probeer je de automatische aanvulling te activeren met `Ctrl+Spatie` en je ziet:

<img src="/img/python-types/image02.png">

the GNU Affero General Public License from time to time.  Such new versions
will be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.

  Each version is given a distinguishing version number.  If the
Program specifies that a certain numbered version of the GNU Affero General
Public License "or any later version" applies to it, you have the

      Class<X> exceptionType, ClosingFunction<? super X, ? extends V> fallback, Executor executor) {
    return catchingMoreGeneric(exceptionType, fallback, executor);
  }

  // Avoids generic type capture inconsistency problems where |? extends V| is incompatible with V.
  private <X extends Throwable, W extends V> ClosingFuture<V> catchingMoreGeneric(
      Class<X> exceptionType, ClosingFunction<? super X, W> fallback, Executor executor) {

  }

  /**
   * Copies all the bytes from one file to another.
   *
   * <p>Copying is not an atomic operation - in the case of an I/O error, power loss, process
   * termination, or other problems, {@code to} may not be a complete copy of {@code from}. If you
   * need to guard against those conditions, you should employ other file-level synchronization.
   *

Y como la mayor parte del tiempo de ejecución se dedica al trabajo real (en lugar de esperar), y el trabajo en una computadora lo realiza una <abbr title="Central Processing Unit">CPU</abbr>, llaman a estos problemas "CPU bound".

---

Ejemplos comunes de operaciones limitadas por la CPU son cosas que requieren procesamiento matemático complejo.

Por ejemplo:

* **Procesamiento de audio** o **imágenes**.

    Set<List<Integer>> degenerate = cartesianProduct();
    checkHashCode(degenerate);

    checkHashCode(cartesianProduct(set(1, 2)));

    int num = Integer.MAX_VALUE / 3 * 2; // tickle overflow-related problems
    checkHashCode(cartesianProduct(set(1, 2, num)));

    Set<Integer> mt = emptySet();
    checkHashCode(cartesianProduct(mt, mt));
    checkHashCode(cartesianProduct(mt, set(num)));

	})

	// Verify kernel release and version.
	if oldLinux() {
		warnings = append(warnings, color.YellowBold("Detected Linux kernel version older than 4.0 release, there are some known potential performance problems with this kernel version. MinIO recommends a minimum of 4.x linux kernel version for best performance"))
	}

	maxProcs := runtime.GOMAXPROCS(0)
	cpuProcs := runtime.NumCPU()
	if maxProcs < cpuProcs {

Et comme la plupart du temps d'exécution est pris par du "vrai" travail (et non de l'attente), et que le travail dans un ordinateur est fait par un <abbr title="Central Processing Unit">CPU</abbr>, ce sont des problèmes dits "CPU bound".

---

Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes.

Par exemple :

* Traitements d'**audio** et d'**images**.

	// can easily eat into the internode bandwidth. This function would be mostly
	// TX saturating, however there are situations where a RX might also saturate.
	// To avoid these problems we must split the work at scale. With 1000 node
	// setup becoming a reality we must try to shard the work properly such as
	// pick 10 nodes that precisely can send those 100 requests the first node

      Class<X> exceptionType, ClosingFunction<? super X, ? extends V> fallback, Executor executor) {
    return catchingMoreGeneric(exceptionType, fallback, executor);
  }

  // Avoids generic type capture inconsistency problems where |? extends V| is incompatible with V.
  private <X extends Throwable, W extends V> ClosingFuture<V> catchingMoreGeneric(
      Class<X> exceptionType, ClosingFunction<? super X, W> fallback, Executor executor) {