Importieren Sie `Enum` und erstellen Sie eine Unterklasse, die von `str` und `Enum` erbt.

Indem Sie von `str` erben, weiß die API Dokumentation, dass die Werte des Enums vom Typ `str` sein müssen, und wird in der Lage sein, korrekt zu rendern.

Erstellen Sie dann Klassen-Attribute mit festgelegten Werten, welches die erlaubten Werte sein werden:

```Python hl_lines="1  6-9"
{!../../docs_src/path_params/tutorial005.py!}
```

 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code
 * add(x)} operations <i>do not</i> create objects for the garbage collector to deal with, and for

   * Returns an immutable array containing the same values as {@code this} array. This is logically
   * a no-op, and in some circumstances {@code this} itself is returned. However, if this instance
   * is a {@link #subArray} view of a larger array, this method will copy only the appropriate range
   * of values, resulting in an equivalent array with a smaller memory footprint.
   */
  public ImmutableLongArray trimmed() {

   * Returns an immutable array containing the same values as {@code this} array. This is logically
   * a no-op, and in some circumstances {@code this} itself is returned. However, if this instance
   * is a {@link #subArray} view of a larger array, this method will copy only the appropriate range
   * of values, resulting in an equivalent array with a smaller memory footprint.
   */
  public ImmutableIntArray trimmed() {

  // caller of event_mgr->ThenExecute() blocks on the completion of the callback
  // (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).

   * for {@code minimumBits}, will return identically-behaving {@link HashFunction} instances.
   *
   * @param minimumBits a positive integer. This can be arbitrarily large. The returned {@link
   *     HashFunction} instance may use memory proportional to this integer.
   * @return a hash function, described above, that produces hash codes of length {@code
   *     minimumBits} or greater
   */

```

////

When you do this, the examples will be part of the internal **JSON Schema** for that body data.

Nevertheless, at the <abbr title="2023-08-26">time of writing this</abbr>, Swagger UI, the tool in charge of showing the docs UI, doesn't support showing multiple examples for the data in **JSON Schema**. But read below for a workaround.

### OpenAPI-specific `examples`

Wir können **OAuth2** verwenden, um das mit **FastAPI** zu erstellen.

Aber ersparen wir Ihnen die Zeit, die gesamte lange Spezifikation zu lesen, nur um die kleinen Informationen zu finden, die Sie benötigen.

Lassen Sie uns die von **FastAPI** bereitgestellten Tools verwenden, um Sicherheit zu gewährleisten.

## Wie es aussieht

		return nil
	}
	return p.workers[h%uint64(len(p.workers))]
}

func (p *ReplicationPool) queueReplicaTask(ri ReplicateObjectInfo) {
	if p == nil {
		return
	}
	// if object is large, queue it to a static set of large workers
	if ri.Size >= int64(minLargeObjSize) {
		h := xxh3.HashString(ri.Bucket + ri.Name)
		select {
		case <-p.ctx.Done():
		case p.lrgworkers[h%uint64(len(p.lrgworkers))] <- ri:
		default:

#### Define a *path operation decorator*

{* ../../docs_src/first_steps/tutorial001.py hl[6] *}

The `@app.get("/")` tells **FastAPI** that the function right below is in charge of handling requests that go to:

* the path `/`
* using a <abbr title="an HTTP GET method"><code>get</code> operation</abbr>

/// info | "`@decorator` Info"