if !ok {
			// Inconsistent. Delete UID.
			delete(l.lockUID, formatUUID(args.UID, idx))
			return idx > 0, nil
		}
		now := UTCNow()
		for i := range lris {
			if lris[i].UID == args.UID {
				lris[i].TimeLastRefresh = now.UnixNano()
			}
		}
		idx++
		resource, ok = l.lockUID[formatUUID(args.UID, idx)]
		if !ok {
			// No more resources for UID, but we did update at least one.
			return true, nil

	formatErasureVersionV3DistributionAlgoV2 = "SIPMOD"

	// Distributed algorithm used, with EC:4 default parity
	formatErasureVersionV3DistributionAlgoV3 = "SIPMOD+PARITY"
)

// Offline disk UUID represents an offline disk.
const offlineDiskUUID = "ffffffff-ffff-ffff-ffff-ffffffffffff"

// Used to detect the version of "xl" format.
type formatErasureVersionDetect struct {
	Erasure struct {

* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types { #other-data-types }

Here are some of the additional data types you can use:

* `UUID`:
    * A standard "Universally Unique Identifier", common as an ID in many databases and systems.
    * In requests and responses will be represented as a `str`.
* `datetime.datetime`:
    * A Python `datetime.datetime`.

* Conversión de datos para datos de response.
* Validación de datos.
* Anotación y documentación automática.

## Otros tipos de datos

Aquí hay algunos de los tipos de datos adicionales que puedes usar:

* `UUID`:
    * Un "Identificador Universalmente Único" estándar, común como un ID en muchas bases de datos y sistemas.
    * En requests y responses se representará como un `str`.
* `datetime.datetime`:

# | LONGVARBINARY | byte[]               | byte[]        |
# | BLOB          | byte[]               | byte[]        |
# | ARRAY         | *Unsupported         | *Unsupported  |
# | UUID          | java.util.UUID       | *Unsupported  |

}
```

## 4. Data Structures

### 4.1 Handle GUID Structure
```java
package jcifs.internal.smb2.persistent;

import java.util.UUID;
import java.nio.ByteBuffer;

public class HandleGuid {
    private final UUID guid;
    
    public HandleGuid() {
        this.guid = UUID.randomUUID();
    }
    
    public HandleGuid(byte[] bytes) {
        if (bytes.length != 16) {

Например, вы не можете поместить Pydantic-модель в `JSONResponse`, не преобразовав её сначала в `dict` с помощью преобразования всех типов данных (таких как `datetime`, `UUID` и т.д.) в совместимые с JSON типы.

В таких случаях вы можете использовать `jsonable_encoder` для преобразования данных перед передачей их в ответ:

{* ../../docs_src/response_directly/tutorial001.py hl[6:7,21:22] *}

          }
        }
      }
    },
    "settings" : {
      "index" : {
        "creation_date" : "1509021060613",
        "number_of_shards" : "5",
        "number_of_replicas" : "1",
        "uuid" : "AMHq21z_Rw-8aumu04y_wA",
        "version" : {
          "created" : "6000051"
        },
        "provided_name" : "fess_log.user_info"
      }
    }
  }

          }
        }
      }
    },
    "settings" : {
      "index" : {
        "creation_date" : "1509021050704",
        "number_of_shards" : "5",
        "number_of_replicas" : "1",
        "uuid" : "X-fixtWRQdGqWMpUEEs_Ag",
        "version" : {
          "created" : "6000051"
        },
        "provided_name" : "fess_config.crawling_info_param"
      }
    }
  }

    branch: VersionedSettingsBranch,
) : PublishGradleDistributionFullBuild(
        promotedBranch = branch.branchName,
        promoteTask = "publishBranchDocs",
        triggerName = StageName.PULL_REQUEST_FEEDBACK.uuid,
    ) {
    init {
        id("Promotion_NightlyDocumentation")
        name = "Nightly Documentation"
        description =