```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["header", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus",
        }
    ]
}
```

## Підсумок

## Declare `Cookie` parameters { #declare-cookie-parameters }

Then declare the cookie parameters using the same structure as with `Path` and `Query`.

You can define the default value as well as all the extra validation or annotation parameters:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[9] *}

/// note | Technical Details

## Declarar parámetros de `Cookie`

Luego declara los parámetros de cookie usando la misma estructura que con `Path` y `Query`.

Puedes definir el valor por defecto así como toda la validación extra o los parámetros de anotación:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[9] *}

/// note | Detalles Técnicos

 * annotation implies nothing about the quality or performance of the API in question, only the fact
 * that it is not "API-frozen."
 *
 * <p>It is generally safe for <i>applications</i> to depend on beta APIs, at the cost of some extra
 * work during upgrades. However it is generally inadvisable for <i>libraries</i> (which get
 * included on users' CLASSPATHs, outside the library developers' control) to do so.
 *
 * @author Kevin Bourrillion
 */

 * annotation implies nothing about the quality or performance of the API in question, only the fact
 * that it is not "API-frozen."
 *
 * <p>It is generally safe for <i>applications</i> to depend on beta APIs, at the cost of some extra
 * work during upgrades. However it is generally inadvisable for <i>libraries</i> (which get
 * included on users' CLASSPATHs, outside the library developers' control) to do so.
 *
 * @author Kevin Bourrillion
 */

To distinguish from the models with all optional values for **updates** and models with required values for **creation**, you can use the ideas described in [Extra Models](extra-models.md){.internal-link target=_blank}.

								inFile := sh[off:]
								extra := ""
								if len(calculated) != len(inFile) {
									fmt.Println("SIZE MISMATCH", len(calculated), len(inFile))
								} else if len(calculated) > 10 {
									calculated = calculated[:10]
									inFile = inFile[:10]
									extra = "..."
								}
								a := hex.EncodeToString(calculated) + extra
								b := hex.EncodeToString(inFile) + extra

## `Cookie`-Parameter deklarieren

Dann deklarieren Sie Ihre Cookie-Parameter, auf die gleiche Weise, wie Sie auch `Path`- und `Query`-Parameter deklarieren.

Der erste Wert ist der Typ. Sie können `Cookie` die gehabten Extra Validierungs- und Beschreibungsparameter hinzufügen. Danach können Sie einen Defaultwert vergeben:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[9] *}

/// note | Technische Details

Dessa forma, seu esquema aparecerá na interface de documentação da API:

<img src="/img/tutorial/dataclasses/image01.png">

## Dataclasses em Estruturas de Dados Aninhadas

Você também pode combinar `dataclasses` com outras anotações de tipo para criar estruturas de dados aninhadas.

Em alguns casos, você ainda pode ter que usar a versão do Pydantic das `dataclasses`. Por exemplo, se você tiver erros com a documentação da API gerada automaticamente.

        NullPointerException.class, () -> multimap().putAll(k3(), newArrayList(v3(), null)));

    Collection<V> values = multimap().get(k3());
    if (values.size() == 0) {
      expectUnchanged();
      // Be extra thorough in case internal state was corrupted by the expected null.
      assertEquals(new ArrayList<>(), new ArrayList<>(values));
      assertEquals(size, multimap().size());
    } else {