# Tâches d'arrière-plan

Vous pouvez définir des tâches d'arrière-plan qui seront exécutées après avoir retourné une réponse.

Ceci est utile pour les opérations qui doivent avoir lieu après une requête, mais où le client n'a pas réellement besoin d'attendre que l'opération soit terminée pour recevoir une réponse.

Cela comprend, par exemple :

* Les notifications par email envoyées après l'exécution d'une action :

	ExecObjectLayerTest(t, testGetObjectInfo)
}

// Testing GetObjectInfo().
func testGetObjectInfo(obj ObjectLayer, instanceType string, t TestErrHandler) {
	// This bucket is used for testing getObjectInfo operations.
	err := obj.MakeBucket(context.Background(), "test-getobjectinfo", MakeBucketOptions{})
	if err != nil {
		t.Fatalf("%s : %s", instanceType, err.Error())
	}
	opts := ObjectOptions{}

    public Map<String, Object> process(final Map<String, Object> target, final AccessResult<String> accessResult) {
        return process(target);
    }

    /**
     * Processes a document map for datastore operations.
     * Default implementation delegates to the basic process method.
     *
     * @param target the document data to process
     * @param params the data store parameters
     * @return the processed document data

     */
    public PurgeLogJob() {
        // Default constructor
    }

    /**
     * Executes the log purging job.
     * Performs the following cleanup operations:
     * - Purges old crawling sessions
     * - Purges search logs older than configured days
     * - Purges job logs older than configured days
     * - Purges user info logs older than configured days

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor...

 * documented. Exceptions to this are {@link #containsKey}, {@link #size}, {@link #isEmpty}, {@link
 * #asMap}, and {@link #toString}.
 *
 * <p>Instances of this class may be used by multiple threads concurrently. All operations are
 * atomic unless otherwise noted.
 *
 * <p>Instances of this class are serializable if the keys are serializable.
 *
 * <p><b>Note:</b> If your values are always positive and less than 2^31, you may wish to use a

 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */

package jcifs.smb1.util;

/**
 * Utility class for Base64 encoding and decoding operations.
 * Provides methods to convert between binary data and Base64 encoded strings.
 */
public class Base64 {

    /**
     * Private constructor to prevent instantiation of this utility class.
     */

Then, behind the scenes, it would put that JSON-compatible data (e.g. a `dict`) inside of a `JSONResponse` that would be used to send the response to the client.

But you can return a `JSONResponse` directly from your *path operations*.

It might be useful, for example, to return custom headers or cookies.

## Return a `Response` { #return-a-response }

In fact, you can return any `Response` or any sub-class of it.

/// tip

* `summary`: Un breve resumen de la API.
* `description`: La descripción de tu API, esta puede incluir markdown y se mostrará en la documentación.
* `routes`: Una list de rutas, estas son cada una de las *path operations* registradas. Se toman de `app.routes`.

/// info | Información

El parámetro `summary` está disponible en OpenAPI 3.1.0 y versiones superiores, soportado por FastAPI 0.99.0 y superiores.

///

   *
   * <p>For streams with defined encounter order (as defined in the Ordering section of the {@link
   * java.util.stream} Javadoc), that order is preserved, but entries are <a
   * href="ImmutableMultimap.html#iteration">grouped by key</a>.
   *
   * <p>Example:
   *
   * {@snippet :
   * static final Multimap<Character, String> FIRST_LETTER_MULTIMAP =
   *     Stream.of("banana", "apple", "carrot", "asparagus", "cherry")