svi.Informer().AddEventHandler(cache.ResourceEventHandlerFuncs{
		AddFunc: func(obj interface{}) {
			h.addSV(obj)
		},
		UpdateFunc: func(oldObj, newObj interface{}) {
			h.updateSV(oldObj, newObj)
		},
		DeleteFunc: func(obj interface{}) {
			h.deleteSV(obj)
		}})
	return h

		return
	}
	h.updateSVMap(nil, sv)
}

// Updates the SVMap to delete old storageversion and add new storageversion
func (h *peerProxyHandler) updateSV(oldObj interface{}, newObj interface{}) {
	oldSV, ok := oldObj.(*v1alpha1.StorageVersion)
	if !ok {
		klog.Errorf("Invalid StorageVersion provided to updateSV()")
		return
	}
	newSV, ok := newObj.(*v1alpha1.StorageVersion)
	if !ok {

                    calculatedValue.update {
                        assert it == "updated1"
                        instant.thread2
                        "updated2"
                    }
                }
            }
        }

        then:
        calculatedValue.get() == "updated2"
        instant.thread1 < instant.thread2
    }

    def "update thread does not block other read threads"() {

		cur, err = dsc.dedupCurHistories(ctx, ds, currentHistories)
		if err != nil {
			return nil, nil, err
		}
		// Update revision number if necessary
		if cur.Revision < currRevision {
			toUpdate := cur.DeepCopy()
			toUpdate.Revision = currRevision
			_, err = dsc.kubeClient.AppsV1().ControllerRevisions(ds.Namespace).Update(ctx, toUpdate, metav1.UpdateOptions{})
			if err != nil {
				return nil, nil, err
			}
		}
	}

func NewFakeXDS() *Updater {
	return &Updater{
		SplitEvents: false,
		Events:      make(chan Event, 100),
	}
}

// NewWithDelegate creates a XdsUpdater reporting events via a channel.
func NewWithDelegate(delegate model.XDSUpdater) *Updater {
	return &Updater{
		Events:   make(chan Event, 100),
		Delegate: delegate,
	}
}

// Updater is used to test the registry.
type Updater struct {

# 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

				updateCh <- &model.PushRequest{Full: true}
				updateCh <- &model.PushRequest{Full: true}
				expect(0, 1)
			},
		},
		{
			name: "Should send full updates in batches, partial updates immediately",
			test: func(updateCh chan *model.PushRequest, expect func(partial, full int32)) {
				updateCh <- &model.PushRequest{Full: true}
				updateCh <- &model.PushRequest{Full: true}

// CHECK: %[[UPDATE1:.*]] = "tf.XlaDynamicUpdateSlice"(%[[READ1]],
// CHECK: "tf.AssignVariableOp"(%[[CARG1]], %[[UPDATE1]])
// CHECK: %[[READ2:.*]] = "tf.ReadVariableOp"(%[[CARG2]]) : (tensor<!tf_type.resource<tensor<5x3xf32>>>) -> tensor<5x3xf32>
// CHECK: %[[UPDATE2:.*]] = "tf.XlaDynamicUpdateSlice"(%[[READ2]],
// CHECK: "tf.AssignVariableOp"(%[[CARG2]], %[[UPDATE2]])
// CHECK: return %[[CARG0]]

// -----

if [[ "${GOPROXY:-}" == "off" ]]; then
  kube::log::error "Cannot run hack/update-vendor.sh with \$GOPROXY=off"
  exit 1
fi

kube::util::require-jq

TMP_DIR="${TMP_DIR:-$(mktemp -d /tmp/update-vendor.XXXX)}"
LOG_FILE="${LOG_FILE:-${TMP_DIR}/update-vendor.log}"
kube::log::status "logfile at ${LOG_FILE}"

# Set up some FDs for this script to use, while capturing everything else to

    ```

=== "Python 3.8+"

    ```Python hl_lines="34"
    {!> ../../../docs_src/body_updates/tutorial002.py!}
    ```

### Pydantics `update`-Parameter verwenden

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.

!!! info