Це означає, що навіть якщо клієнти вашого API надсилатимуть ключі у вигляді рядків, якщо вони містять цілі числа, Pydantic конвертує їх і проведе валідацію.

Тобто `dict`, який Ви отримаєте як `weights`, матиме ключі типу `int` та значення типу `float`.

///

## Підсумок

З **FastAPI** Ви маєте максимальну гнучкість завдяки моделям Pydantic, зберігаючи при цьому код простим, коротким та елегантним.

А `dict`, который вы получите как `weights`, действительно будет иметь ключи типа `int` и значения типа `float`.

///

## Резюме { #recap }

            urlQueue.setWeight(i); // Higher number = higher weight
            urlQueueList.add(urlQueue);
        }

        urlQueueService.offerAll(sessionId, urlQueueList);

        // Poll - items should be ordered by weight (descending)
        final OpenSearchUrlQueue first = urlQueueService.poll(sessionId);
        assertNotNull(first);
        // Weight should be highest
        assertTrue(first.getWeight() >= 1);

      // but work beyond that must take at least one second
      assertThat(afterBurst).isAtLeast(1000);
    }
  }

  /**
   * This neat test shows that no matter what weights we use in our requests, if we push X amount of
   * permits in a cool state, where X = rate * timeToCoolDown, and we have specified a
   * timeToWarmUp() period, it will cost as the prescribed amount of time. E.g., calling

      // but work beyond that must take at least one second
      assertThat(afterBurst).isAtLeast(1000);
    }
  }

  /**
   * This neat test shows that no matter what weights we use in our requests, if we push X amount of
   * permits in a cool state, where X = rate * timeToCoolDown, and we have specified a
   * timeToWarmUp() period, it will cost as the prescribed amount of time. E.g., calling

3389226,2,2014-03-26 17:13:28,2014-03-26 17:19:07,N,1,-73.949493408203125,40.793506622314453,-73.943374633789063,40.786155700683594,1,0.82,5.5,1,0.5,0,0,,,7,1,1,75,75,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East...

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