*/
    public boolean isEmpty() {
        return this.sub_authority_count == 0;
    }

    /**
     * Checks whether the SID is blank (all sub-authorities zero).
     *
     * @return whether the SID is blank (all sub-authorities zero)
     */
    public boolean isBlank() {
        boolean blank = true;
        for (final int sub : this.sub_authority) {

Agora que temos todo o fluxo de segurança, vamos tornar a aplicação realmente segura, usando tokens <abbr title="JSON Web Tokens">JWT</abbr> e hashing de senhas seguras.

Este código é algo que você pode realmente usar na sua aplicação, salvar os hashes das senhas no seu banco de dados, etc.

Vamos começar de onde paramos no capítulo anterior e incrementá-lo.

## Sobre o JWT

JWT significa "JSON Web Tokens".

		return kmsID
	}
	return ARNPrefix + kmsID
}

// DecryptETags decryptes the ETag of all ObjectInfos using the KMS.
//
// It adjusts the size of all encrypted objects since encrypted
// objects are slightly larger due to encryption overhead.
// Further, it decrypts all single-part SSE-S3 encrypted objects
// and formats ETags of SSE-C / SSE-KMS encrypted objects to
// be AWS S3 compliant.
//

          parentBuilder) {
    Set<Feature<?>> features = computeMultimapAsMapGetFeatures(parentBuilder.getFeatures());
    if (Collections.disjoint(features, EnumSet.allOf(CollectionSize.class))) {
      return new TestSuite();
    } else {
      return CollectionTestSuiteBuilder.using(
              new MultimapAsMapGetGenerator<K, V, M>(parentBuilder.getSubjectGenerator()))

        val schedules = mutableListOf(200.µs)

        override fun runOnce(): Long {
          if (schedules.isNotEmpty()) {
            redQueue.schedule(this, schedules.removeAt(0)) // Add it at the end also.
          }
          log += "scheduledTasks=${redQueue.scheduledTasks}"
          return -1L
        }
      }
    redQueue.schedule(task, 100.µs)

    redQueue.execute("task two", 200.µs) {

   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;
   * - scale with indexes taking integer-collection with compute taking a double-collection and with
   *   computeInPlace;
   * - (except that, for non-finite values, we don't do all combinations exhaustively);

   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;
   * - scale with indexes taking integer-collection with compute taking a double-collection and with
   *   computeInPlace;
   * - (except that, for non-finite values, we don't do all combinations exhaustively);

    ListenableFuture<Integer> future = service.schedule(Callables.returning(42), 1, MILLISECONDS);

    /*
     * Wait not just until the Future's value is set (as in future.get()) but
     * also until ListeningScheduledExecutorService's wrapper task is done
     * executing listeners, as detected by yielding control to afterExecute.
     */
    completed.await();
    assertTrue(future.isDone());

Sie haben gerade den Haupt-Einsatzort für die Deklaration von Typhinweisen gesehen. Als Funktionsparameter.

Das ist auch meistens, wie sie in **FastAPI** verwendet werden.

### Einfache Typen

Sie können alle Standard-Python-Typen deklarieren, nicht nur `str`.

Zum Beispiel diese:

* `int`
* `float`
* `bool`
* `bytes`

{* ../../docs_src/python_types/tutorial005.py hl[1] *}

* `Field(index=True)` informa ao SQLModel que ele deve criar um **índice SQL** para essa coluna, o que permitirá buscas mais rápidas no banco de dados ao ler dados filtrados por essa coluna.

    O SQLModel saberá que algo declarado como `str` será uma coluna SQL do tipo `TEXT` (ou `VARCHAR`, dependendo do banco de dados).

### Criar um Engine