| `minio_replication_current_active_workers`        | Total number of active replication workers. <br><br>Type: gauge                             | `server` |
| `minio_replication_current_data_transfer_rate`    | Current replication data transfer rate in bytes/sec. <br><br>Type: gauge                    | `server` |

{* ../../docs_src/query_params_str_validations/tutorial001.py hl[9] *}

O parâmetro de consulta `q` é do tipo `Union[str, None]`, o que significa que é do tipo `str` mas que também pode ser `None`, e de fato, o valor padrão é `None`, então o FastAPI saberá que não é obrigatório.

/// note | Observação

O FastAPI saberá que o valor de `q` não é obrigatório por causa do valor padrão `= None`.

        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression
        return 0.3 + (entropy * 0.6); // Range from 30% to 90%
    }

    @Override
    public int getMinCompressionSize() {

Por hora, você precisa apenas saber que o `Annotated` existe, e que ele é Python padrão. 😎

Mais tarde você verá o quão **poderoso** ele pode ser.

/// tip | Dica

we don't consider this as a vulnerability, given that models can exhaust
resources in many different ways and solutions exist to prevent this from
happening (e.g., rate limits, ACLs, monitors to restart broken servers).

### Model sharing

If the multitenant design allows sharing models, make sure that tenants and

 * the life cycle methods.
 *
 * <h3>Usage Example</h3>
 *
 * <p>Here is a sketch of a service which crawls a website and uses the scheduling capabilities to
 * rate limit itself.
 *
 * {@snippet :
 * class CrawlingService extends AbstractScheduledService {
 *   private Set<Uri> visited;
 *   private Queue<Uri> toCrawl;
 *   protected void startUp() throws Exception {

FastAPI and Docker" - author: Yashasvi Singh author_link: https://hashnode.com/@aUnicornDev link: https://aunicorndev.hashnode.dev/series/supafast-api title: "Building an API with FastAPI and Supabase and Deploying on Deta" - author: Navule Pavan Kumar Rao author_link: https://www.linkedin.com/in/navule/ link: https://www.tutlinks.com/deploy-fastapi-on-ubuntu-gunicorn-caddy-2/ title: Deploy FastAPI on Ubuntu and Serve using Caddy 2 Web Server - author: Patrick Ladon author_link: https://dev.to/factorlive...

		Code:           "SlowDownRead",
		Description:    "Resource requested is unreadable, please reduce your request rate",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrSlowDownWrite: {
		Code:           "SlowDownWrite",
		Description:    "Resource requested is unwritable, please reduce your request rate",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrMaxVersionsExceeded: {

the key was too small, but at any rate it would not open any of
them.  However, on the second time round, she came upon a low
curtain she had not noticed before, and behind it was a little
door about fifteen inches high:  she tried the little golden key
in the lock, and to her great delight it fitted!

  Alice opened the door and found that it led into a small
passage, not much larger than a rat-hole:  she knelt down and

**FastAPI** tiene su propio `HTTPException`.

Y la clase de error `HTTPException` de **FastAPI** hereda de la clase de error `HTTPException` de Starlette.

La única diferencia es que el `HTTPException` de **FastAPI** acepta cualquier dato JSON-able para el campo `detail`, mientras que el `HTTPException` de Starlette solo acepta strings para ello.

Así que puedes seguir lanzando un `HTTPException` de **FastAPI** como de costumbre en tu código.