duration := max(time.Duration(r.Float64()*float64(globalCallhomeConfig.FrequencyDur())),
				// Make sure to sleep at least a second to avoid high CPU ticks.
				time.Second)
			time.Sleep(duration)
		}
	}()
}

func runCallhome(ctx context.Context, objAPI ObjectLayer) bool {
	// Make sure only 1 callhome is running on the cluster.
	locker := objAPI.NewNSLock(minioMetaBucket, "callhome/runCallhome.lock")

## Utilize os `scopes`

O parâmetro `security_scopes` será do tipo `SecurityScopes`.

Ele terá a propriedade `scopes` com uma lista contendo todos os escopos requeridos por ele e todas as dependências que utilizam ele como uma subdependência. Isso significa, todos  os "dependentes"... pode soar meio confuso, e isso será explicado novamente mais adiante.

Ahí puedes establecer:

* El "ID del Ítem", usado en el path.
* El "Token" usado como un parámetro query.

/// tip | Consejo

Nota que el query `token` será manejado por una dependencia.

///

Con eso puedes conectar el WebSocket y luego enviar y recibir mensajes:

<img src="/img/tutorial/websockets/image05.png">

## Manejar desconexiones y múltiples clientes

      placeholder: |
        * Open the browser and call the endpoint `/`.
        * It returns a JSON with `{"Hello": "World"}`.
        * But I expected it to return `{"Hello": "Sara"}`.
    validations:
      required: true
  - type: dropdown
    id: os
    attributes:
      label: Operating System
      description: What operating system are you on?
      multiple: true
      options:

        stale-issue-message: "The issue has been automatically marked as stale as it missing playground pull request link, which is important to help others understand your issue effectively and make sure the issue hasn't been fixed on latest master, checkout [https://github.com/go-gorm/playground](https://github.com/go-gorm/playground) for details. it will be closed in 30 days if no further activity occurs. if you are asking question, please use the...

launch_service()
{
    pidpath=$1
    daemonized=$2
    props=$3
    fess_parms="-Dfess"

    if [ "x$pidpath" != "x" ]; then
        fess_parms="$fess_parms -Dfess.pidfile=$pidpath"
    fi

    # Make sure we don't use any predefined locale, as we check some exception message strings and rely on english language
    # As those strings are created by the OS, they are dependent on the configured locale
    LANG=en_US.UTF-8

However, if you use the `pip install fastapi` command, the `python-multipart` package is not included by default.

To install it manually, make sure you create a [virtual environment](../../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it with:

```console
$ pip install python-multipart
```

    latch = new CountDownLatch(1);
    future = createListenableFuture(Boolean.TRUE, null, latch);
  }

  @Override
  protected void tearDown() throws Exception {

    // Make sure we have no waiting threads.
    latch.countDown();
  }

  /** Constructs a listenable future with a value available after the latch has counted down. */
  protected abstract <V> ListenableFuture<V> createListenableFuture(

# relevant. All of the GPU test machines have CUDA installed via other means,
# so I am not sure how to verify that the dependencies themselves are valid for
# the moment.
if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then
  echo "Checking to make sure tensorflow[and-cuda] is installable..."
  "$python" -m pip install "$(echo *.whl)[and-cuda]" $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS

## Using `TestClient` { #using-testclient }

/// info

To use `TestClient`, first install <a href="https://www.python-httpx.org" class="external-link" target="_blank">`httpx`</a>.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it, for example:

```console
$ pip install httpx
```

///

Import `TestClient`.