You can achieve that using <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">Pydantic's `AfterValidator`</a> inside of `Annotated`.

/// tip

Pydantic also has <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> and others. 🤓

///

                        .setSize(keyMatch.getMaxSize());
                return true;
            });
        }
        return Collections.emptyList();
    }

    /**
     * Converts a string to lowercase.
     *
     * @param term The string to convert.
     * @return The lowercase string.
     */
    private String toLowerCase(final String term) {

Aqui estão várias formas de se fazer isso.

## `schema_extra` do Pydantic

Você pode declarar um `example` para um modelo Pydantic usando `Config` e `schema_extra`, conforme descrito em <a href="https://docs.pydantic.dev/latest/concepts/json_schema/#schema-customization" class="external-link" target="_blank">Documentação do Pydantic: Schema customization</a>:

{* ../../docs_src/schema_extra_example/tutorial001.py hl[15:23] *}

				HTTPStatusCode: http.StatusBadRequest,
			}
		default:
			apiErr = errorCodes.ToAPIErrWithErr(toAdminAPIErrCode(ctx, err), err)
		}
	}
	return apiErr
}

// toAdminAPIErrCode - converts errErasureWriteQuorum error to admin API
// specific error.
func toAdminAPIErrCode(ctx context.Context, err error) APIErrorCode {
	if errors.Is(err, errErasureWriteQuorum) {
		return ErrAdminConfigNoQuorum
	}

	EventName    event.Name
	BucketName   string
	Object       ObjectInfo
	ReqParams    map[string]string
	RespElements map[string]string
	Host         string
	UserAgent    string
}

// ToEvent - converts to notification event.
func (args eventArgs) ToEvent(escape bool) event.Event {
	eventTime := UTCNow()
	uniqueID := fmt.Sprintf("%X", eventTime.UnixNano())
	if !args.Object.ModTime.IsZero() {

- Migrated the StatefulSet controller (within `kube-controller-manager`) to use [contextual logging](https://k8s.io/docs/concepts/cluster-administration/system-logs/#contextual-logging) ([#113840](https://githu...

     *   <li>OPTIONS - Returns the HTTP methods that the server supports.</li>
     *   <li>TRACE - Echoes back the received request, used for debugging.</li>
     *   <li>CONNECT - Converts the request connection to a transparent TCP/IP tunnel.</li>
     * </ul>
     */
    public enum Method {
        /**
         * HTTP GET method.
         */
        GET,
        /**

        });
        return asJson(new ApiResponse().status(Status.OK).result());
    }

    /**
     * Creates an EditBody from an AccessToken entity for API responses.
     * Converts permissions and handles date formatting.
     *
     * @param entity the AccessToken entity to convert
     * @return the EditBody representation of the entity
     */

👈, ⚙️ 🐩 🐍 🆎 🔑 <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>:

/// note

🕐❔ ⚖ <a href="https://docs.pydantic.dev/latest/concepts/types/#unions" class="external-link" target="_blank">`Union`</a>, 🔌 🏆 🎯 🆎 🥇, ⏩ 🌘 🎯 🆎. 🖼 🔛, 🌖 🎯 `PlaneItem` 👟 ⏭ `CarItem` `Union[PlaneItem, CarItem]`.

///

`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute