/*
     * Any of the setException() calls below can fail if the output Future is cancelled between now
     * and then. This means that we're silently swallowing an exception -- maybe even an Error. But
     * this is no worse than what FutureTask does in that situation. Additionally, because the
     * Future was cancelled, its listeners have been run, so its consumers will not hang.
     *

      /*
       * Assume that equals uses the == optimization when appropriate, and that
       * it would check hash codes as an optimization when appropriate. If we
       * did these things, it would just make things worse for the most
       * performance-conscious users.
       */
      if (key.equals(candidateKey)) {
        return entry.getValue();
      }
    }
    return null;
  }

  @Override

constraints.DecimalMin.message  = {item} doit être plus grand que  ${inclusive == true ? 'or equal to ' : ''}{value}.
constraints.Digits.message      = {item} est une valeur numérique hors des limites (Il faut <{integer} chiffres>.<{fraction} chiffres>).
constraints.Future.message      = {item} doit être dans le futur.
constraints.Max.message         = {item} doit être plus petit ou égal à {value}.

 * the columns. The reverse is also available, associating a column with a row key / value map. Note
 * that, in some implementations, data access by column key may have fewer supported operations or
 * worse performance than data access by row key.
 *
 * <p>The methods returning collections or maps always return views of the underlying table.
 * Updating the table can change the contents of those collections, and updating the collections

 * the columns. The reverse is also available, associating a column with a row key / value map. Note
 * that, in some implementations, data access by column key may have fewer supported operations or
 * worse performance than data access by row key.
 *
 * <p>The methods returning collections or maps always return views of the underlying table.
 * Updating the table can change the contents of those collections, and updating the collections

    SortedSet<String> set = of("in", "the", "a");
    assertEquals(Sets.newTreeSet(asList("in", "the", "a")), set);
    assertFalse(set.equals(Sets.newTreeSet(asList("in", "the", "house"))));
    assertFalse(Sets.newTreeSet(asList("in", "the", "house")).equals(set));
    assertFalse(set.equals(newHashSet(4, 5, 6)));
    assertFalse(newHashSet(4, 5, 6).equals(set));

    Set<String> complex = Sets.newTreeSet(STRING_LENGTH);

 *       method to obtain a correctly-sized copy.
 *   <li>The performance of using the associated {@code Builder} class can be assumed to be no
 *       worse, and possibly better, than creating a mutable collection and copying it.
 *   <li>Implementations generally do not cache hash codes. If your element or key type has a slow

 *
 * <p><i>Performance notes:</i>
 *
 * <ul>
 *   <li>If you only access one end of the queue, and do use a maximum size, this class will perform
 *       significantly worse than a {@code PriorityQueue} with manual eviction above the maximum
 *       size. In many cases {@link Ordering#leastOf} may work for your use case with significantly
 *       improved (and asymptotically superior) performance.

   *       threads, RPC network threads, or other latency-sensitive threads. In those cases, slow
   *       listeners can harm responsiveness, slow the system as a whole, or worse. (See also the
   *       note about locking below.)
   *   <li>If many tasks will be triggered by the same event, one heavyweight task may delay other

Und nach einer langen Suche nach einem ähnlichen Framework und dem Testen vieler verschiedener Alternativen, war APIStar die beste verfügbare Option.

Dann hörte APIStar auf, als Server zu existieren, und Starlette wurde geschaffen, welches eine neue, bessere Grundlage für ein solches System bildete. Das war die finale Inspiration für die Entwicklung von **FastAPI**.