total = settings.size();
            return this;
        }

        /**
         * Sets the total number of configuration settings.
         * @param total The total number of configuration settings.
         * @return The ApiConfigsResponse instance.
         */
        public ApiConfigsResponse<T> total(final long total) {
            this.total = total;
            return this;

    }
    checkPositionIndexes(off, off + len, b.length);
    int total = 0;
    while (total < len) {
      int result = in.read(b, off + total, len - total);
      if (result == -1) {
        break;
      }
      total += result;
    }
    return total;
  }

  /** Compares the contents of the two {@link InputStream}s for equality. */

      Integer result = size;
      if (result == null) {
        long total = 0;
        for (Range<C> range : ranges) {
          total += ContiguousSet.create(range, domain).size();
          if (total >= Integer.MAX_VALUE) {
            break;
          }
        }
        result = size = Ints.saturatedCast(total);
      }
      return result;
    }

    @Override

* `datetime.timedelta`:
    * Un `datetime.timedelta` de Python.
    * En requests y responses se representará como un `float` de segundos totales.
    * Pydantic también permite representarlo como una "codificación de diferencia horaria ISO 8601", [consulta la documentación para más información](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).

/*
 [Log Notification]
*/
subject: [FESS] /*pmb.level*/ Log Alert: /*pmb.hostname*/
>>>
--- Server Info ---
Host Name: /*pmb.hostname:orElse('Unknown')*/

--- Log Summary ---
Level: /*pmb.level*/
Total: /*pmb.count*/ event(s) in the last /*pmb.interval*/ seconds

--- Log Details ---
/*pmb.details*/

* `datetime.timedelta` :
    * Un `datetime.timedelta` Python.
    * Dans les requêtes et les réponses, il sera représenté sous forme de `float` de secondes totales.
    * Pydantic permet aussi de le représenter sous la forme d'un « encodage de différence de temps ISO 8601 », [voir la documentation pour plus d'informations](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).

        assertTrue(doneLatch.await(30, TimeUnit.SECONDS));
        executor.shutdown();

        // Drain remaining
        totalDrained.addAndGet(helper.drainAll().size());

        // Total drained should be <= total offered (some may be dropped at capacity)
        int totalOffered = numThreads * eventsPerThread;
        assertTrue(totalDrained.get() > 0);
        assertTrue(totalDrained.get() <= totalOffered);
    }

Bunların hepsine bir örnekle bakalım.

Fatura oluşturmayı sağlayan bir uygulama geliştirdiğinizi düşünün.

Bu faturaların `id`, `title` (opsiyonel), `customer` ve `total` alanları olacak.

API'nizin kullanıcısı (external bir geliştirici) API'nizde bir POST request ile fatura oluşturacak.

Sonra API'niz (varsayalım ki):

* Faturayı external geliştiricinin bir müşterisine gönderir.

        missing_paths.append(p)
    print("Paths to skip:")
    for p in skipped_paths:
        print(f"  - {p}")
    print(f"Total paths to skip: {len(skipped_paths)}")
    print("Paths to process:")
    for p in missing_paths:
        print(f"  - {p}")
    print(f"Total paths to process: {len(missing_paths)}")
    for p in missing_paths:
        print(f"Translating: {p}")

Давайте рассмотрим это на примере.

Представьте, что вы разрабатываете приложение, позволяющее создавать счета.

Эти счета будут иметь `id`, `title` (необязательный), `customer` и `total`.

Пользователь вашего API (внешний разработчик) создаст счет в вашем API с помощью POST-запроса.

Затем ваш API (предположим) сделает следующее:

* Отправит счет клиенту внешнего разработчика.
* Получит оплату.