*/
  public abstract Writer openStream() throws IOException;

  /**
   * Opens a new buffered {@link Writer} for writing to this sink. The returned stream is not
   * required to be a {@link BufferedWriter} in order to allow implementations to simply delegate to
   * {@link #openStream()} when the stream returned by that method does not benefit from additional
   * buffering. This method returns a new, independent writer each time it is called.
   *

     */
    public static final File tmpDir = new File(System.getProperty("java.io.tmpdir"));

    /**
     * Protected constructor to prevent direct instantiation but allow inheritance.
     */
    protected Curl() {
        // nothing
    }

    /**
     * Creates a new CurlRequest with the HTTP GET method for the specified URL.
     *

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

Dans ce cas, **FastAPI** détectera qu'il y a plus d'un paramètre dans le body (chacun correspondant à un modèle Pydantic).

Il utilisera alors les noms des paramètres comme clés, et s'attendra à recevoir quelque chose de semblable à :

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,

        when(limitedContext.getConfig()).thenReturn(limitedConfig);
        when(limitedConfig.getLeaseTimeout()).thenReturn(30000);
        when(limitedConfig.getMaxLeases()).thenReturn(2); // Only allow 2 leases
        when(limitedConfig.getLeaseBreakTimeout()).thenReturn(60);

        LeaseManager limitedManager = new LeaseManager(limitedContext);

        try {

      // Runnable is executed more than once, allocate a wrapper that we know is safe to remove by
      // object identity.
      // A data structure that returned a removal handle from add() would allow eliminating this
      // allocation.
      submittedTask =
          new Runnable() {
            @Override
            public void run() {
              task.run();
            }

      // Runnable is executed more than once, allocate a wrapper that we know is safe to remove by
      // object identity.
      // A data structure that returned a removal handle from add() would allow eliminating this
      // allocation.
      submittedTask =
          new Runnable() {
            @Override
            public void run() {
              task.run();
            }

## Eine Anwendung mit Callbacks { #an-app-with-callbacks }

Sehen wir uns das alles anhand eines Beispiels an.

Stellen Sie sich vor, Sie entwickeln eine Anwendung, mit der Sie Rechnungen erstellen können.

        this.useRobotsTxtDisallows = useRobotsTxtDisallows;
    }

    /**
     * Sets whether to use robots.txt allow rules.
     *
     * @param useRobotsTxtAllows True to use allow rules, false otherwise
     */
    public void setUseRobotsTxtAllows(final boolean useRobotsTxtAllows) {
        this.useRobotsTxtAllows = useRobotsTxtAllows;
    }

 * elements.
 *
 * <p>The collections created by {@link #createCollection()} may or may not allow duplicates. If the
 * collection, such as a {@link Set}, does not support duplicates, an added key-value pair will
 * replace an existing pair with the same key and value, if such a pair is present. With collections
 * like {@link List} that allow duplicates, the collection will keep the existing key-value pairs
 * while adding a new pair.
 *