override val call: Call,
    val ioe: IOException,
  ) : CallEvent() {
    override fun closes(event: CallEvent): Boolean = event is CallStart && call == event.call
  }

  data class Canceled(
    override val timestampNs: Long,
    override val call: Call,
  ) : CallEvent()

  data class RequestHeadersStart(
    override val timestampNs: Long,
    override val call: Call,
  ) : CallEvent()

     *
     * If the server does not respond to each ping with a pong within `interval`, this client will
     * assume that connectivity has been lost. When this happens on a web socket the connection is
     * canceled and its listener is [notified][WebSocketListener.onFailure]. When it happens on an
     * HTTP/2 connection the connection is closed and any calls it is carrying
     * [will fail with an IOException][java.io.IOException].

    Class<?> finalizableReferenceClass = finalizableReferenceClassReference.get();
    if (finalizableReferenceClass == null) {
      /*
       * FinalizableReference's class loader was reclaimed. While there's a chance that other
       * finalizable references could be enqueued subsequently (at which point the class loader
       * would be resurrected by virtue of us having a strong reference to it), we should pretty

	backgroundHealInfoPath = bucketMetaPrefix + SlashSeparator + ".background-heal.json"

	dataUsageCacheName = ".usage-cache.bin"
)

// storeDataUsageInBackend will store all objects sent on the dui channel until closed.
func storeDataUsageInBackend(ctx context.Context, objAPI ObjectLayer, dui <-chan DataUsageInfo) {
	attempts := 1
	for dataUsageInfo := range dui {
		json := jsoniter.ConfigCompatibleWithStandardLibrary

		t.staleUploadsCleanupInterval = cfg.StaleUploadsCleanupInterval

		// signal that cleanup interval has changed
		select {
		case staleUploadsCleanupIntervalChangedCh <- struct{}{}:
		default: // in case the channel is blocked...
		}
	}
}

func (t *apiConfig) odirectEnabled() bool {
	t.mu.RLock()
	defer t.mu.RUnlock()

	return t.enableODirect
}

func (t *apiConfig) shouldGzipObjects() bool {

America/Atikokan America/Atka America/Bahia America/Bahia_Banderas America/Barbados America/Belem America/Belize America/Blanc-Sablon America/Boa_Vista America/Bogota America/Boise America/Buenos_Aires America/Cambridge_Bay America/Campo_Grande America/Cancun America/Caracas America/Catamarca America/Cayenne America/Cayman America/Chicago America/Chihuahua America/Ciudad_Juarez America/Coral_Harbour America/Cordoba America/Costa_Rica America/Coyhaique America/Creston America/Cuiaba America/Curacao America/Danmarkshavn...

import pika

connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='localhost'))
channel = connection.channel()

channel.exchange_declare(exchange='bucketevents',
                         exchange_type='fanout')

result = channel.queue_declare(exclusive=False)
queue_name = result.method.queue

channel.queue_bind(exchange='bucketevents',
                   queue=queue_name)

</blockquote>

## Investigação

Ao usar todas as alternativas anteriores, eu tive a chance de aprender com todas elas, aproveitar ideias e combiná-las da melhor maneira que encontrei para mim e para os times de desenvolvedores com os quais trabalhava.

</blockquote>

## Investigation { #investigation }

By using all the previous alternatives I had the chance to learn from all of them, take ideas, and combine them in the best way I could find for myself and the teams of developers I have worked with.

For example, it was clear that ideally it should be based on standard Python type hints.

///

## Reduce duplication { #reduce-duplication }

Reducing code duplication is one of the core ideas in **FastAPI**.

As code duplication increments the chances of bugs, security issues, code desynchronization issues (when you update in one place but not in the others), etc.

And these models are all sharing a lot of the data and duplicating attribute names and types.