scannerLogOnceIf(ctx, err, dataUsageObjNamePath)
		}
		attempts++
	}
}

var prefixUsageCache = cachevalue.New[map[string]uint64]()

// loadPrefixUsageFromBackend returns prefix usages found in passed buckets
//
//	e.g.:  /testbucket/prefix => 355601334
func loadPrefixUsageFromBackend(ctx context.Context, objAPI ObjectLayer, bucket string) (map[string]uint64, error) {
	z, ok := objAPI.(*erasureServerPools)

 * href="https://lorentzos.com/rxjava-as-event-bus-the-right-way-10a36bdd49ba">2</a>.) Some usages
 * of EventBus may be better written using <a
 * href="https://kotlinlang.org/docs/coroutines-guide.html">Kotlin coroutines</a>, including <a
 * href="https://kotlinlang.org/docs/flow.html">Flow</a> and <a
 * href="https://kotlinlang.org/docs/channels.html">Channels</a>. Yet other usages are better served

///

### Revisar el `root_path` actual

Puedes obtener el `root_path` actual utilizado por tu aplicación para cada request, es parte del diccionario `scope` (que es parte de la especificación ASGI).

Aquí lo estamos incluyendo en el mensaje solo con fines de demostración.

{* ../../docs_src/behind_a_proxy/tutorial001.py hl[8] *}

Luego, si inicias Uvicorn con:

<div class="termy">

```console

## Metadata para etiquetas

También puedes agregar metadata adicional para las diferentes etiquetas usadas para agrupar tus path operations con el parámetro `openapi_tags`.

Este toma una list que contiene un diccionario para cada etiqueta.

Cada diccionario puede contener:

* `name` (**requerido**): un `str` con el mismo nombre de etiqueta que usas en el parámetro `tags` en tus *path operations* y `APIRouter`s.

```

</div>

Abrar seu browser em: <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a>.

Lá você pode definir:

* O "Item ID", usado na rota.
* O "Token" usado como um parâmetro de consulta.

/// tip | Dica

Perceba que a consulta `token` será manipulada por uma dependência.

///

   * 2. Tests on hardcoded datasets include non-finite values for chains starting with scale(10);
   * 3. Tests on a mechanically generated dataset for chains starting with percentiles();
   * 4. Tests of illegal usages of the API.
   */

  /*
   * Covering every combination would lead to an explosion in the number of tests. So we cover only:
   * - median with compute taking a double-collection and with computeInPlace;

   * 2. Tests on hardcoded datasets include non-finite values for chains starting with scale(10);
   * 3. Tests on a mechanically generated dataset for chains starting with percentiles();
   * 4. Tests of illegal usages of the API.
   */

  /*
   * Covering every combination would lead to an explosion in the number of tests. So we cover only:
   * - median with compute taking a double-collection and with computeInPlace;

Portanto, embora `example` não seja parte do JSON Schema, é parte da versão customizada do JSON Schema usada pelo OpenAPI, e é isso que vai ser usado dentro da UI de documentação.

#### Corrija com o `secrets.compare_digest()`

Mas em nosso código já estamos utilizando o `secrets.compare_digest()`.

Resumindo, levará o mesmo tempo para comparar `stanleyjobsox` com `stanleyjobson` do que comparar `johndoe` com `stanleyjobson`. E o mesmo para a senha.

"hubierais", "hubieran", "hubiese", "hubieses", "hubiésemos", "hubieseis", "hubiesen", "habiendo", "habido", "habida", "habidos", "habidas", "soy", "eres", "es", "somos", "sois", "son", "sea", "seas", "seamos", "seáis", "sean", "seré", "serás", "será", "seremos", "seréis", "serán", "sería", "serías", "seríamos", "seríais", "serían", "era", "eras", "éramos", "erais", "eran", "fui", "fuiste", "fue", "fuimos", "fuisteis", "fueron", "fuera", "fueras", "fuéramos", "fuerais", "fueran", "fuese", "fueses", "fuésemos",...