}
            }, "ProcessCloser-output-" + sessionId).start();

            try {
                latch.await(streamCloseTimeout, TimeUnit.SECONDS);
            } catch (final InterruptedException e) {
                logger.warn("Interrupted to wait a process.", e);
            }
            try {
                process.destroyForcibly().waitFor(processDestroyTimeout, TimeUnit.SECONDS);

var bucketStorageCache = cachevalue.New[DataUsageInfo]()

// Init initialize bucket quota.
func (sys *BucketQuotaSys) Init(objAPI ObjectLayer) {
	bucketStorageCache.InitOnce(10*time.Second,
		cachevalue.Opts{ReturnLastGood: true, NoWait: true},
		func(ctx context.Context) (DataUsageInfo, error) {
			if objAPI == nil {
				return DataUsageInfo{}, errServerNotInitialized
			}
			ctx, done := context.WithTimeout(ctx, 2*time.Second)
			defer done()

///

## Aguarde mensagens e envie mensagens { #await-for-messages-and-send-messages }

Em sua rota WebSocket você pode esperar (`await`) por mensagens e enviar mensagens.

{* ../../docs_src/websockets/tutorial001_py39.py hl[48:52] *}

Você pode receber e enviar dados binários, de texto e JSON.

Then we can create an `AsyncClient` with the app, and send async requests to it, using `await`.

{* ../../docs_src/async_tests/app_a_py39/test_main.py hl[9:12] *}

This is the equivalent to:

```Python
response = client.get('/')
```

...that we used to make our requests with the `TestClient`.

/// tip

Note that we're using async/await with the new `AsyncClient` - the request is asynchronous.

///

/// warning

	config.KV{
		Key:   ReplicationWorkersWait,
		Value: "0ms", // No wait by default between each replication attempts.
	},
	config.KV{
		Key:   KeyRotationWorkersWait,
		Value: "0ms", // No wait by default between each key rotation attempts.
	},
	config.KV{
		Key:   ExpirationWorkersWait,
		Value: "0ms", // No wait by default between each expiration attempts.
	},
}

**FastAPI** provides the same `WebSocket` directly just as a convenience for you, the developer. But it comes directly from Starlette.

///

## Await for messages and send messages { #await-for-messages-and-send-messages }

In your WebSocket route you can `await` for messages and send messages.

{* ../../docs_src/websockets/tutorial001_py39.py hl[48:52] *}

You can receive and send binary, text, and JSON data.

                        },
                    }
                }
            },
            "required": True,
        },
    },
)
async def create_item(request: Request):
    raw_body = await request.body()
    data = magic_data_reader(raw_body)

 * Object x = new MyClass() {
 *   ...
 *   protected void finalize() { latch.countDown(); ... }
 * };
 * x = null;  // Hint to the JIT that x is stack-unreachable
 * GcFinalization.await(latch);
 * }
 *
 * <p>Here's an example that uses a user-defined finalization predicate:
 *
 * {@snippet :
 * final WeakHashMap<Object, Object> map = new WeakHashMap<>();
 * map.put(new Object(), Boolean.TRUE);

Dann können wir einen `AsyncClient` mit der App erstellen und mit `await` asynchrone Requests an ihn senden.

{* ../../docs_src/async_tests/app_a_py39/test_main.py hl[9:12] *}

Das ist das Äquivalent zu:

```Python
response = client.get('/')
```

... welches wir verwendet haben, um unsere Requests mit dem `TestClient` zu machen.

/// tip | Tipp

            return await func(*args, **kwargs)
        if inspect.isclass(func):
            return await run_in_threadpool(func, *args, **kwargs)
        dunder_call = getattr(func, "__call__", None)  # noqa: B004
        if iscoroutinefunction(dunder_call):
            return await dunder_call(*args, **kwargs)
        return await run_in_threadpool(func, *args, **kwargs)

    return wrapper