*
 * Unless required by applicable law or agreed to in writing, software distributed under the License
 * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.util.concurrent;

Observa cómo `Offer` tiene una lista de `Item`s, que a su vez tienen una lista opcional de `Image`s

///

## Cuerpos de listas puras { #bodies-of-pure-lists }

Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:

```Python
images: list[Image]
```

como en:

					t.Fatalf("column name type should be correct, name: %v, length: %v, expects: %v, column: %#v",
						columnType.Name(), columnType.DatabaseTypeName(), dataType, columnType)
				}
				if length, ok := columnType.Length(); !ok || length != 100 {
					t.Fatalf("column name length should be correct, name: %v, length: %v, expects: %v, column: %#v",
						columnType.Name(), length, 100, columnType)
				}
			case "age":

# Configuración Avanzada de Path Operation { #path-operation-advanced-configuration }

## operationId de OpenAPI { #openapi-operationid }

/// warning | Advertencia

Si no eres un "experto" en OpenAPI, probablemente no necesites esto.

///

Puedes establecer el `operationId` de OpenAPI para ser usado en tu *path operation* con el parámetro `operation_id`.

Tienes que asegurarte de que sea único para cada operación.

            }
            elevateWordBhv.refresh();
        } catch (final IOException e) {
            logger.warn("Failed to read a suggest elevate word.", e);
        }
    }

    /**
     * Exports elevate words to a CSV file.
     * CSV format: SuggestWord, Reading, Permissions, Labels, Boost
     *
     * @param writer the Writer to output CSV data to
     */
    public void exportCsv(final Writer writer) {

                }
            }
        }
    }

    /* Build a connection. Only one thread will ever call this method at
     * any one time. If this method throws an exception or the connect timeout
     * expires an encapsulating TransportException will be thrown from connect
     * and the transport will be in error.
     */

    /**
     * Establishes a connection to the remote endpoint.
     *

- Install `mc` - [mc Quickstart Guide](https://docs.min.io/community/minio-object-store/reference/minio-mc.html#quickstart)

## 2. Enable bucket lifecycle configuration

- Create a bucket lifecycle configuration which expires the objects under the prefix `old/` on `2020-01-01T00:00:00.000Z` date and the objects under `temp/` after 7 days.
- Enable bucket lifecycle configuration using `mc`:

```sh
$ mc ilm import play/testbucket <<EOF
{

	}
}

// expireTransitionedObject handles expiry of transitioned/restored objects
// (versions) in one of the following situations:
//
// 1. when a restored (via PostRestoreObject API) object expires.
// 2. when a transitioned object expires (based on an ILM rule).
func expireTransitionedObject(ctx context.Context, objectAPI ObjectLayer, oi *ObjectInfo, lcEvent lifecycle.Event, src lcEventSrc) error {
	traceFn := globalLifecycleSys.trace(*oi)

	jwtgo "github.com/golang-jwt/jwt/v4"
	jsoniter "github.com/json-iterator/go"
	"github.com/minio/minio/internal/bpool"
)

// SigningMethodHMAC - Implements the HMAC-SHA family of signing methods signing methods
// Expects key type of []byte for both signing and validation
type SigningMethodHMAC struct {
	Name       string
	Hash       crypto.Hash
	HasherPool bpool.Pool[hash.Hash]
}

// Specific instances for HS256, HS384, HS512

Asegúrate de tener [tests](../tutorial/testing.md){.internal-link target=_blank} para tu app y de ejecutarlos en integración continua (CI).

Así podrás hacer la actualización y asegurarte de que todo sigue funcionando como esperas.

## `bump-pydantic` { #bump-pydantic }

En muchos casos, cuando usas modelos de Pydantic normales sin personalizaciones, podrás automatizar gran parte del proceso de migración de Pydantic v1 a Pydantic v2.