///

## Other models { #other-models }

You can now get the current user directly in the *path operation functions* and deal with the security mechanisms at the **Dependency Injection** level, using `Depends`.

And you can use any model or data for the security requirements (in this case, a Pydantic model `User`).

    *   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)`.

# 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`:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[3] *}

## `Cookie`-Parameter deklarieren

/**
 * A certificate chain cleaner that uses a set of trusted root certificates to build the trusted
 * chain. This class duplicates the clean chain building performed during the TLS handshake. We
 * prefer other mechanisms where they exist, such as with
 * [okhttp3.internal.platform.AndroidPlatform.AndroidCertificateChainCleaner].
 *
 * This class includes code from [Conscrypt's][Conscrypt] [TrustManagerImpl] and
 * [TrustedCertificateIndex].

///

## **FastAPI** utilities { #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**.

   * 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 = new ArrayList<>();

  @BeforeExperiment

  -v D:\data:/data \
  quay.io/minio/minio server /data --console-address ":9001"
```

### Run MinIO Docker as a regular user

Docker provides standardized mechanisms to run docker containers as non-root users.

#### GNU/Linux and macOS (regular user)

On Linux and macOS you can use `--user` to run the container as regular user.

## <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.

### 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.

### Detalles Técnicos: `root_path`

Cuando montas una sub-aplicación como se describe arriba, FastAPI se encargará de comunicar el path de montaje para la sub-aplicación usando un mecanismo de la especificación ASGI llamado `root_path`.

De esa manera, la sub-aplicación sabrá usar ese prefijo de path para la interfaz de documentación.