/**
     * Sets the URL stream handler factory for the environment. This
     * allows specification of the factory used in creating underlying
     * stream handlers. This can be called once per JVM instance.
     *
     * @param factory
     *            The URL stream handler factory.
     */
    public static void setURLStreamHandlerFactory ( URLStreamHandlerFactory factory ) {

### Kompakt

Es gibt für alles sensible **Defaultwerte**, mit optionaler Konfiguration überall. Alle Parameter können feinjustiert werden, damit sie tun, was Sie benötigen, und die API definieren, die Sie brauchen.

Aber standardmäßig **„funktioniert einfach alles“**.

### Validierung

* Validierung für die meisten (oder alle?) Python-**Datentypen**, hierzu gehören:
    * JSON Objekte (`dict`).

  /// won't be registered anymore is if this function gets called by core
  /// TensorFlow and the `TF_Filesystem*` object is destroyed. However, due to
  /// registration being done in a static instance of `Env`, the destructor of
  /// `FileSystem` is never called (see
  /// https://github.com/tensorflow/tensorflow/issues/27535). In turn, this
  /// function will never be called. There are plans to refactor registration
  /// and fix this.

### Was ist „Mounten“?

„Mounten“ bedeutet das Hinzufügen einer vollständigen „unabhängigen“ Anwendung an einem bestimmten Pfad, die sich dann um die Handhabung aller Unterpfade kümmert.

Dies unterscheidet sich von der Verwendung eines `APIRouter`, da eine gemountete Anwendung völlig unabhängig ist. Die OpenAPI und Dokumentation Ihrer Hauptanwendung enthalten nichts von der gemounteten Anwendung, usw.

Und die Unteranwendung könnte auch ihre eigenen gemounteten Unteranwendungen haben und alles würde korrekt funktionieren, da FastAPI sich um alle diese `root_path`s automatisch kümmert.

## Créer un `Dockerfile`

* Allez dans le répertoire de votre projet.
* Créez un `Dockerfile` avec :

```Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7

COPY ./app /app
```

### Applications plus larges

   * enqueue messages followed by pongs, but this sends pongs followed by messages. Pongs are always
   * written in the order they were enqueued.
   *
   * If a frame cannot be sent - because there are none enqueued or because the web socket is not
   * connected - this does nothing and returns false. Otherwise this returns true and the caller

 *
 * in which the `f` in 2) is regarded as used and `f` in 1) is not.
 */
private fun doesCallExpressionUseCallee(callee: PsiElement): Boolean {
    return callee !is KtReferenceExpression ||
            analyze(callee) {
                isSimpleVariableAccessCall(callee)
            }
}

/**
 * The body of setters are always used. The body of getters are only used if they are expression bodies.
 */

//
// If the device is successfully registered, `status` is set to TF_OK. Otherwise
// the device is not usable. In case of a bad status, `device.delete_device` is
// still called on `device_info` (i.e. the caller does not retain ownership).
//
// This API is highly experimental, and in particular is expected to change when
// it starts supporting operations with attributes and when tf.function support
// is added.

	for {
		// if sleepWatchInstall yields without error, that means the config might have been modified in some fashion.
		// so we rerun `install`, which will update the modified config if it has fallen out of sync with
		// our desired state
		err := in.sleepWatchInstall(ctx, installedBins)
		if err != nil {
			installLog.Error("error watching node CNI config")
			return err
		}