type Config struct {
	// MaxTimeout - maximum timeout for a drive operation
	MaxTimeout time.Duration `json:"maxTimeout"`
}

// Update - updates the config with latest values
func (c *Config) Update(updated Config) error {
	configLk.Lock()
	defer configLk.Unlock()
	c.MaxTimeout = getMaxTimeout(updated.MaxTimeout)
	return nil
}

// GetMaxTimeout - returns the per call drive operation timeout
func (c *Config) GetMaxTimeout() time.Duration {

// If the most recent read or write operation on the buffer was
// not a successful [Buffer.ReadRune], UnreadRune returns an error.  (In this regard
// it is stricter than [Buffer.UnreadByte], which will unread the last byte
// from any read operation.)
func (b *Buffer) UnreadRune() error {
	if b.lastRead <= opInvalid {
		return errors.New("bytes.Buffer: UnreadRune: previous operation was not a successful ReadRune")
	}

	writeSuccessResponseXML(w, encodedSuccessResponse)
}

// HeadBucketHandler - HEAD Bucket
// ----------
// This operation is useful to determine if a bucket exists.
// The operation returns a 200 OK if the bucket exists and you
// have permission to access it. Otherwise, the operation might
// return responses such as 404 Not Found and 403 Forbidden.

[*경로 작동 데코레이터*에 `dependencies` 추가하기](dependencies-in-path-operation-decorators.md){.internal-link target=_blank}와 유사한 방법으로 `FastAPI` 애플리케이션에 그것들을 추가할 수 있습니다.

그런 경우에, 애플리케이션의 모든 *경로 작동*에 적용될 것입니다:

{* ../../docs_src/dependencies/tutorial012_an_py39.py hl[16] *}

그리고 [*경로 작동 데코레이터*에 `dependencies` 추가하기](dependencies-in-path-operation-decorators.md){.internal-link target=_blank}에 대한 아이디어는 여전히 적용되지만 여기에서는 앱에 있는 모든 *경로 작동*에 적용됩니다.

    end
    dep ->> operation: Executar dependência, e.g. sessão de BD
    opt raise
        operation -->> dep: Lançar exceção (e.g. HTTPException)
        opt handle
            dep -->> dep: Pode capturar exceções, lançar uma nova HTTPException, lançar outras exceções
        end
        handler -->> client: resposta de erro HTTP
    end

    operation ->> client: Retornar resposta ao cliente

In this case, this `__call__` is what **FastAPI** will use to check for additional parameters and sub-dependencies, and this is what will be called to pass a value to the parameter in your *path operation function* later.

## Parameterize the instance { #parameterize-the-instance }

And now, we can use `__init__` to declare the parameters of the instance that we can use to "parameterize" the dependency:

Because it's a Python exception, you don't `return` it, you `raise` it.

This also means that if you are inside a utility function that you are calling inside of your *path operation function*, and you raise the `HTTPException` from inside of that utility function, it won't run the rest of the code in the *path operation function*, it will terminate that request right away and send the HTTP error from the `HTTPException` to the client.

		return
	}

	// Validate operation
	operation := mux.Vars(r)["operation"]
	if operation != "attach" && operation != "detach" {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrAdminInvalidArgument), r.URL)
		return
	}

	isAttach := operation == "attach"

	// Validate API arguments in body.
	password := cred.SecretKey

Si pasas un "callable" como dependencia en **FastAPI**, analizará los parámetros de ese "callable", y los procesará de la misma manera que los parámetros de una *path operation function*. Incluyendo sub-dependencias.

Eso también se aplica a los callables sin parámetros. Igual que sería para *path operation functions* sin parámetros.

Entonces, podemos cambiar la dependencia "dependable" `common_parameters` de arriba a la clase `CommonQueryParams`:

También puedes usar `url_for()` dentro de la plantilla, toma como argumentos los mismos que usaría tu *path operation function*.

Entonces, la sección con:

{% raw %}

```jinja
<a href="{{ url_for('read_item', id=id) }}">
```

{% endraw %}

...generará un enlace hacia la misma URL que manejaría la *path operation function* `read_item(id=id)`.

Por ejemplo, con un ID de `42`, esto se renderizaría como:

```html