return error  # type: ignore[return-value]

    def create_body_model(
        *, fields: Sequence[ModelField], model_name: str
    ) -> Type[BaseModel]:
        field_params = {f.name: (f.field_info.annotation, f.field_info) for f in fields}
        BodyModel: Type[BaseModel] = create_model(model_name, **field_params)  # type: ignore[call-overload]
        return BodyModel

  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // addressType specifies the type of address carried by this EndpointSlice.
  // All addresses in this slice must be the same type. This field is
  // immutable after creation. The following address types are currently
  // supported:
  // * IPv4: Represents an IPv4 Address.
  // * IPv6: Represents an IPv6 Address.

* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - for extra types to be used with Pydantic.

Additional optional FastAPI dependencies:

 *
 * <p>The Invoker is designed to be flexible, allowing for different implementations
 * that can handle various types of {@link InvokerRequest InvokerRequests}. It also implements
 * {@link AutoCloseable} to ensure proper resource management.</p>
 *
 * @param <R> The specific type of {@link InvokerRequest} this {@code Invoker} can handle, extending {@link InvokerRequest}
 *
 * @since 4.0.0
 */
@Experimental

type BucketRemoteIdenticalToSource struct {
	GenericError
	Endpoint string
}

func (e BucketRemoteIdenticalToSource) Error() string {
	return fmt.Sprintf("Remote service endpoint %s is self referential to current cluster", e.Endpoint)
}

// BucketRemoteAlreadyExists remote already exists for this target type.
type BucketRemoteAlreadyExists GenericError

```

Hier ist `needy` ein erforderlicher Query-Parameter vom Typ `str`.

Wenn Sie in Ihrem Browser eine URL wie:

```
http://127.0.0.1:8000/items/foo-item
```

... öffnen, ohne den benötigten Parameter `needy`, dann erhalten Sie einen Fehler wie den folgenden:

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],

   * and {@link java.util.concurrent.CompletableFuture#handleAsync} when used along with {@link
   * #transform}.
   *
   * @param exceptionType the exception type that triggers use of {@code fallback}. The exception
   *     type is matched against the input's exception. "The input's exception" means the cause of
   *     the {@link ExecutionException} thrown by {@code input.get()} or, if {@code get()} throws a

   * Entry instances that are either live "read-through" views to the Multiset, or immutable
   * snapshots. Note that this type is unrelated to the similarly-named type {@code Map.Entry}.
   *
   * @since 2.0
   */
  interface Entry<E extends @Nullable Object> {

    /**

  //
  // Approved and Denied conditions are mutually exclusive.
  // Approved, Denied, and Failed conditions cannot be removed once added.
  //
  // Only one condition of a given type is allowed.
  optional string type = 1;

  // status of the condition, one of True, False, Unknown.
  // Approved, Denied, and Failed conditions may not be "False" or "Unknown".
  optional string status = 6;

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### En résumé

En résumé, vous déclarez **une fois** les types de paramètres, <abbr title="en anglais : body">le corps</abbr>  de la requête, etc. en tant que paramètres de fonction.

Vous faites cela avec les types Python standard modernes.

Vous n'avez pas à apprendre une nouvelle syntaxe, les méthodes ou les classes d'une bibliothèque spécifique, etc.