import java.util.Random;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;
import sun.misc.Unsafe;

/**
 * A package-local class holding common representation and mechanics for classes supporting dynamic
 * striping on 64bit values. The class extends Number so that concrete subclasses must publicly do
 * so.
 */
@GwtIncompatible
@ElementTypesAreNonnullByDefault

# Cookie-Parameter

So wie `Query`- und `Path`-Parameter können Sie auch <abbr title='Cookie – „Keks“: Mechanismus, der kurze Daten in Textform im Browser des Benutzers speichert und abfragt'>Cookie</abbr>-Parameter definieren.

## `Cookie` importieren

Importieren Sie zuerst `Cookie`:

//// tab | Python 3.10+

```Python hl_lines="3"
{!> ../../docs_src/cookie_params/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

- Add fish shell completion to kubectl. ([#92989](https://github.com/kubernetes/kubernetes/pull/92989), [@WLun001](https://github.com/WLun001))
- Add mechanism to load simple sniffer class into fluentd-elasticsearch image ([#92853](https://github.com/kubernetes/kubernetes/pull/92853), [@cosmo0920](https://github.com/cosmo0920))

///

## **FastAPI** utilities

FastAPI provides several tools for each of these security schemes in the `fastapi.security` module that simplify using these security mechanisms.

In the next chapters you will see how to add security to your API using those tools provided by **FastAPI**.

A queue is used to give a few properties:
* Ability to serially process updates received from a variety of different sources. This avoids need for other synchronization mechanisms like mutexes.
* Correctness at startup; with the sequencing above, items are only processed once all informers are synced. This means queries will not return stale data at startup.
* Deduping of identical events

    *   CSE pass from Tensorflow is now disabled in XLA.
*   `tf.data`:
    *   `tf.data.Dataset`
    *   Add support for building C++ Dataset op kernels as external libraries,
        using the `tf.load_op_library()` mechanism.
    *   `Dataset.list_files()` now shuffles its output by default.
    *   `Dataset.shuffle(..., seed=tf.constant(0, dtype=tf.int64))` now yields
        the same sequence of elements as `Dataset.shuffle(..., seed=0)`.

   * whether our solution scales to use with multiple exception types and to whether it is affected
   * by other {@code ClassValue} users. Some of the benchmarked implementations don't use one or
   * both of these mechanisms, so they will be unaffected.
   */
  @Param({"0", "1", "12"})
  int otherEntriesInDataStructure;

  final List<ClassValue<?>> retainedReferencesToOtherClassValues = newArrayList();

  @BeforeExperiment

### Technische Details: `root_path`

Wenn Sie eine Unteranwendung wie oben beschrieben mounten, kümmert sich FastAPI darum, den Mount-Pfad für die Unteranwendung zu kommunizieren, mithilfe eines Mechanismus aus der ASGI-Spezifikation namens `root_path`.

Auf diese Weise weiß die Unteranwendung, dass sie dieses Pfadpräfix für die Benutzeroberfläche der Dokumentation verwenden soll.

## <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>

Cette image est dotée d'un mécanisme d'"auto-tuning", de sorte qu'il vous suffit d'ajouter votre code pour obtenir automatiquement des performances très élevées. Et sans faire de sacrifices.

### Detalhes Técnicos: `root_path`

Quando você monta uma sub-aplicação como descrito acima, o FastAPI se encarrega de comunicar o caminho de montagem para a sub-aplicação usando um mecanismo da especificação ASGI chamado `root_path`.

Dessa forma, a sub-aplicação saberá usar esse prefixo de caminho para a interface de documentação.