*/
  static final LazyLogger log = new LazyLogger(AbstractFuture.class);

  static final boolean GENERATE_CANCELLATION_CAUSES;

  static {
    // System.getProperty may throw if the security policy does not permit access.
    boolean generateCancellationCauses;
    try {
      generateCancellationCauses =
          parseBoolean(System.getProperty("guava.concurrent.generate_cancellation_cause", "false"));

 * } else {
 *   // The resource was not cached.
 * }
 * ```
 *
 * This technique works even better in situations where a stale response is better than no response.
 * To permit stale cached responses, use the `max-stale` directive with the maximum staleness in
 * seconds:
 *
 * ```java
 * Request request = new Request.Builder()
 *     .cacheControl(new CacheControl.Builder()

       * seen value. And while we *could* do that, we aren't required to: Map.Entry explicitly says
       * that behavior is undefined when the backing map is modified through another API. (It even
       * permits us to throw IllegalStateException. Maybe we should have done that, but we probably
       * shouldn't change now for fear of breaking people.)
       */
      return (lastKnownIndex == -1) ? unsafeNull() : value(lastKnownIndex);

		}
	}
	if sysStat != nil {
		return h, sysStat(fi, h, doNameLookups)
	}
	return h, nil
}

// FileInfoNames extends [fs.FileInfo].
// Passing an instance of this to [FileInfoHeader] permits the caller
// to avoid a system-dependent name lookup by specifying the Uname and Gname directly.
type FileInfoNames interface {
	fs.FileInfo
	// Uname should give a user name.
	Uname() (string, error)

    writer.flush()
  }

  /**
   * Degrades this connection such that new streams can neither be created locally, nor accepted
   * from the remote peer. Existing streams are not impacted. This is intended to permit an endpoint
   * to gracefully stop accepting new requests without harming previously established streams.
   */
  @Throws(IOException::class)
  fun shutdown(statusCode: ErrorCode) {
    writer.withLock {

données provenant d'une base de données en un objet JSON. Convertir des objets `datetime` en strings, etc.

La validation des données est une autre fonctionnalité importante dont ont besoin les API. Elle permet de s'assurer
que les données sont valides, compte tenu de certains paramètres. Par exemple, qu'un champ est un `int`, et non un
string.
Ceci est particulièrement utile pour les données entrantes.

Flask é um "microframework", não inclui integração com banco de dados nem muitas das coisas que vêm por padrão no Django.

Sua simplicidade e flexibilidade permitem fazer coisas como utilizar bancos de dados NoSQL como principal sistema de armazenamento de dados.

Por ser tão simples, é relativamente intuitivo de aprender, embora a documentação esteja de forma mais técnica em alguns pontos.

Flask es un "microframework", no incluye integraciones de bases de datos ni muchas de las cosas que vienen por defecto en Django.

Esta simplicidad y flexibilidad permiten hacer cosas como usar bases de datos NoSQL como el sistema de almacenamiento de datos principal.

Como es muy simple, es relativamente intuitivo de aprender, aunque la documentación se vuelve algo técnica en algunos puntos.

		// Return the readDirectoryHeader error if we read
		// the wrong number of directory entries.
		return err
	}
	if zipinsecurepath.Value() == "0" {
		for _, f := range r.File {
			if f.Name == "" {
				// Zip permits an empty file name field.
				continue
			}
			// The zip specification states that names must use forward slashes,
			// so consider any backslashes in the name insecure.

       * seen value. And while we *could* do that, we aren't required to: Map.Entry explicitly says
       * that behavior is undefined when the backing map is modified through another API. (It even
       * permits us to throw IllegalStateException. Maybe we should have done that, but we probably
       * shouldn't change now for fear of breaking people.)
       */
      return (lastKnownIndex == -1) ? unsafeNull() : value(lastKnownIndex);