assertThat(q.peek()).isNull();
    assertInterruptibleDrained(q);
    assertUninterruptibleDrained(q);
  }

  private void assertInterruptibleDrained(BlockingQueue<Object> q) {
    // nothing to drain, thus this should wait doing nothing
    try {
      assertEquals(0, Queues.drain(q, ImmutableList.of(), 0, 10, MILLISECONDS));
    } catch (InterruptedException e) {
      throw new AssertionError();
    }

   * returns the elements in the order they are returned by the collection's iterator. The returned
   * array is "safe" in that no references to it are maintained by the collection. The caller is
   * thus free to modify the returned array.
   *
   * <p>This method assumes that the collection size doesn't change while the method is running.
   *
   * <p>TODO(kevinb): support concurrently modified collections?
   *

        jcifs.SID[] arr = new jcifs.SID[] { s1, s2, s3 };

        // First call should resolve two (offset=0,length=2)
        doAnswer(inv -> {
            // Simulate resolve call by setting names/types and thus enabling cache population
            Object[] args = inv.getArguments();
            String server = (String) args[0];
            CIFSContext c = (CIFSContext) args[1];

/// tip | Dica

Além disso, uma tarefa em segundo plano normalmente é um conjunto de lógica independente que deve ser tratado separadamente, com seus próprios recursos (por exemplo, sua própria conexão de banco de dados).

Assim, desta forma você provavelmente terá um código mais limpo.

///

   * Table entries are of class Cell; a variant of AtomicLong padded
   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without

/// tip | Consejo

Traefik tiene integraciones con Docker, Kubernetes, y otros, por lo que es muy fácil configurar y configurar HTTPS para tus contenedores con él.

///

Alternativamente, HTTPS podría ser manejado por un proveedor de la nube como uno de sus servicios (mientras que la aplicación aún se ejecuta en un contenedor).

   * be performed atomically on the returned map. Additionally, {@code size} and {@code
   * containsValue} are implemented as bulk read operations, and thus may fail to observe concurrent
   * writes.
   *
   * @return a serializable concurrent map having the requested features
   */
  public <K, V> ConcurrentMap<K, V> makeMap() {
    if (!useCustomMap) {

```

... c’est parce que le générateur de client utilise l’**operation ID** interne OpenAPI pour chaque *chemin d'accès*.

OpenAPI exige que chaque operation ID soit unique parmi tous les *chemins d'accès*, donc FastAPI utilise le **nom de la fonction**, le **chemin**, et la **méthode/opération HTTP** pour générer cet operation ID, car de cette façon il peut s’assurer que les operation IDs sont uniques.

   * requests which resulted in either successful or failed loading attempts, and requests which
   * waited for other threads to finish loading. It is thus the case that {@code missCount >=
   * loadSuccessCount + loadExceptionCount}. Multiple concurrent misses for the same key will result
   * in a single load operation.
   */
  public double missRate() {

   * requests which resulted in either successful or failed loading attempts, and requests which
   * waited for other threads to finish loading. It is thus the case that {@code missCount >=
   * loadSuccessCount + loadExceptionCount}. Multiple concurrent misses for the same key will result
   * in a single load operation.
   */
  public double missRate() {