* colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,
   * and because threads are typically not bound to CPUS forever,
   * may not occur at all. However, despite these limitations,
   * observed contention rates are typically low in these cases.
   *
   * It is possible for a Cell to become unused when threads that
   * once hashed to it terminate, as well as in the case where

Ein weiterer Prozessmanager im Container (wie es bei Gunicorn oder Uvicorn der Fall wäre, welche Uvicorn-Worker verwalten) würde nur **unnötige Komplexität** hinzufügen, um welche Sie sich höchstwahrscheinlich bereits mit Ihrem Clustersystem kümmern.

### Container mit mehreren Prozessen und Sonderfälle

   *
   * On the other hand, past underutilization could mean that "the server responsible for handling
   * the request has become less ready for future requests", i.e. its caches become stale, and
   * requests become more likely to trigger expensive operations (a more extreme case of this
   * example is when a server has just booted, and it is mostly busy with getting itself up to
   * speed).
   *

   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,
   * and because threads are typically not bound to CPUS forever,
   * may not occur at all. However, despite these limitations,
   * observed contention rates are typically low in these cases.
   *
   * It is possible for a Cell to become unused when threads that
   * once hashed to it terminate, as well as in the case where

        monitor.leave();
      }
    } else {
      return false;
    }
  }

  /**
   * Inserts the specified element at the tail of this queue, waiting up to the specified wait time
   * for space to become available if the queue is full.
   *
   * @throws InterruptedException {@inheritDoc}
   * @throws NullPointerException {@inheritDoc}
   */
  @CanIgnoreReturnValue
  @Override

   * subsequent requests being smoothly limited at the stable rate of {@code permitsPerSecond}.
   *
   * @param permitsPerSecond the rate of the returned {@code RateLimiter}, measured in how many
   *     permits become available per second
   * @throws IllegalArgumentException if {@code permitsPerSecond} is negative or zero
   */
  // TODO(user): "This is equivalent to
  // {@code createWithCapacity(permitsPerSecond, 1, TimeUnit.SECONDS)}".

    {!> ../../../docs_src/security/tutorial005.py!}
    ```

Da wir diese Scopes jetzt deklarieren, werden sie in der API-Dokumentation angezeigt, wenn Sie sich einloggen/autorisieren.

Und Sie können auswählen, auf welche Scopes Sie Zugriff haben möchten: `me` und `items`.

Das ist derselbe Mechanismus, der verwendet wird, wenn Sie beim Anmelden mit Facebook, Google, GitHub, usw. Berechtigungen erteilen:

      await(done);
      if (predicate.isDone()) {
        return;
      }
    } while (System.nanoTime() - deadline < 0);
    throw formatRuntimeException(
        "Predicate did not become true within %d second timeout", timeoutSeconds);
  }

  /**
   * Waits until the given latch has {@linkplain CountDownLatch#countDown counted down} to zero,

   * includes exceptional exits, so all control paths involving signalling must be protected by a
   * finally block.
   *
   * Further optimizations of this algorithm become increasingly subtle. A wait that terminates
   * without the guard being satisfied (due to timeout, but not interrupt) can then immediately exit

        monitor.leave();
      }
    } else {
      return false;
    }
  }

  /**
   * Inserts the specified element at the tail of this queue, waiting up to the specified wait time
   * for space to become available if the queue is full.
   *
   * @throws InterruptedException {@inheritDoc}
   * @throws NullPointerException {@inheritDoc}
   */
  @CanIgnoreReturnValue
  @Override