uploadID := base64.RawURLEncoding.EncodeToString(fmt.Appendf(nil, "%s.%s", globalDeploymentID(), uploadUUID))
	uploadIDPath := er.getUploadIDDir(bucket, object, uploadUUID)

	// Write updated `xl.meta` to all disks.
	if _, err := writeAllMetadata(ctx, onlineDisks, bucket, minioMetaMultipartBucket, uploadIDPath, partsMetadata, writeQuorum); err != nil {
		return nil, toObjectErr(err, bucket, object)
	}

	mgmtPrefix      = "prefix"
	mgmtClientToken = "clientToken"
	mgmtForceStart  = "forceStart"
	mgmtForceStop   = "forceStop"
)

// ServerUpdateV2Handler - POST /minio/admin/v3/update?updateURL={updateURL}&type=2
// ----------
// updates all minio servers and restarts them gracefully.
func (a adminAPIHandlers) ServerUpdateV2Handler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

- Update `cri-tools` dependency to v1.22.0. ([#104430](https://github.com/kubernetes/kubernetes/pull/104430), [@saschagrunert](https://github.com/saschagrunert))
- Update `migratecmd/kube-proxy/app` logs to structured logging. ([#98913](https://github.com/kubernetes/kubernetes/pull/98913), [@yxxhero](https://github.com/yxxhero))
- Update build images to Debian 11 (Bullseye)
  - debian-base:bullseye-v1.0.0

     </dependency>
     ```

 *  Fix: Gracefully recover from a failure to rebuild the cache journal.
 *  Fix: Don't corrupt cache entries when a cache entry is evicted while it is
    being updated.
 *  Fix: Make logging more consistent throughout OkHttp.
 *  Fix: Log plaintext bodies only. This uses simple heuristics to differentiate
    text from other data.

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Pydantics `update`-Parameter verwenden { #using-pydantics-update-parameter }

Jetzt können Sie eine Kopie des existierenden Modells mittels `.model_copy()` erstellen, wobei Sie dem `update`-Parameter ein `dict` mit den zu ändernden Daten übergeben.

Wie in `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Uso del parámetro `update` de Pydantic { #using-pydantics-update-parameter }

Ahora, puedes crear una copia del modelo existente usando `.model_copy()`, y pasar el parámetro `update` con un `dict` que contenga los datos a actualizar.

/// info | Información

	// Client or serverside.
	side ws.State

	// Dialer for outgoing connections.
	dial   ConnDialer
	authFn AuthFn

	handleMsgWg sync.WaitGroup

	// connChange will be signaled whenever State has been updated, or at regular intervals.
	// Holding the lock allows safe reads of State, and guarantees that changes will be detected.
	connChange *sync.Cond
	handlers   *handlers

	remote             *RemoteClient

    /** The key of the message: Sort Order */
    public static final String LABELS_SORT_ORDER = "{labels.sortOrder}";

    /** The key of the message: Updated By */
    public static final String LABELS_UPDATED_BY = "{labels.updatedBy}";

    /** The key of the message: Updated Time */
    public static final String LABELS_UPDATED_TIME = "{labels.updatedTime}";

    /** The key of the message: URLs */

* GCE provider: Create TargetPool with 200 instances, then update with rest ([#27829](https://github.com/kubernetes/kubernetes/pull/27829), [@zmerlynn](https://github.com/zmerlynn))
* Add sources to server tarballs. ([#27830](https://github.com/kubernetes/kubernetes/pull/27830), [@david-mcmahon](https://github.com/david-mcmahon))

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest