st.BucketStatuses[o.bucket] = ResyncFailed
			st.Status = siteResyncStatus(st.Status, st.BucketStatuses)
			st.LastUpdate = UTCNow()
			sm.resyncStatus[o.resyncID] = st
		}
	}
}

// remove deleted bucket from active resync tracking
func (sm *siteResyncMetrics) deleteBucket(b string) {
	if !globalSiteReplicationSys.isEnabled() {
		return
	}
	sm.Lock()
	defer sm.Unlock()

- When scaling down a ReplicaSet, delete doubled up replicas first, where a "doubled up replica" is defined as one that is on the same node as an active replica belonging to a related ReplicaSet.  ReplicaSets are considered "related" if they have a common controller (typically a Deployment). ([#80004](https://github.com/kubernetes/kubernetes/pull/80004), [@Miciah](https://github.com/Miciah))...

- Give terminal phase correctly to all pods that will not be restarted. 

  In particular, assign Failed phase to pods which are deleted while pending. Also, assign a terminal 
  phase (Succeeded or Failed, depending on the exit statuses of the pod containers) to pods which
  are deleted while running.
  
  This fixes the issue for jobs using pod failure policy (with JobPodFailurePolicy and PodDisruptionConditions 

   */
  void moveLastEntry(int dstIndex) {
    int srcIndex = size() - 1;
    if (dstIndex < srcIndex) {
      // move last entry to deleted spot
      keys[dstIndex] = keys[srcIndex];
      values[dstIndex] = values[srcIndex];
      keys[srcIndex] = null;
      values[srcIndex] = 0;

	clnt, err := driver.getMinIOClient(ctx)
	if err != nil {
		return err
	}

	cctx, cancel := context.WithCancel(context.Background())
	defer cancel()

	if prefix == "" {
		// if all objects are not deleted yet this call may fail.
		return clnt.RemoveBucket(cctx, bucket)
	}

	objectsCh := make(chan minio.ObjectInfo)

	// Send object names that are needed to be removed to objectsCh
	go func() {

namespace tensorflow {

namespace {

// Managing context for the DLManagedTensor, will manage the lifetime of
// DLManagedTensor. When calling DLManagedTensor::deleter, it will notify the
// original framework of destruction, and this context will be deleted also.
struct TfDlManagedTensorCtx {
  TensorReference reference;
  std::vector<int64_t> shape;
  std::vector<int64_t> strides;
  DLManagedTensor tensor;

	}

	ids := make([]int64, 0, len(rows))
	for _, row := range rows {
		ids = append(ids, row.ID)
	}
	lastID := ids[len(ids)-1]

	if err := DB.Where("id IN (?)", ids).Delete(&AutoIncrementStruct{}).Error; err != nil {
		t.Fatalf("delete auto_increment_struct fail, err: %v", err)
	}

	newRow := &AutoIncrementStruct{}
	if err := DB.Create(newRow).Error; err != nil {

		return
	}

	users := []*User{
		GetUser("delete-returning-1", Config{}),
		GetUser("delete-returning-2", Config{}),
		GetUser("delete-returning-3", Config{}),
	}
	DB.Create(&users)

	var results []User
	DB.Where("name IN ?", []string{users[0].Name, users[1].Name}).Clauses(clause.Returning{}).Delete(&results)
	if len(results) != 2 {
		t.Errorf("failed to return delete data, got %v", results)
	}

	var count int64

func (kvs KVS) Get(key string) string {
	v, ok := kvs.Lookup(key)
	if ok {
		return v
	}
	return ""
}

// Delete - deletes the key if present from the KV list.
func (kvs *KVS) Delete(key string) {
	for i, kv := range *kvs {
		if kv.Key == key {
			*kvs = append((*kvs)[:i], (*kvs)[i+1:]...)
			return
		}
	}
}

# five framework-embedded messages (don't change key names)
# - - - - - - - - - -/
errors.login.failure=Login fehlgeschlagen.
errors.app.illegal.transition=Unzulässige Wertänderung, bitte erneut versuchen.
errors.app.db.already.deleted=Bearbeitungskonflikt, bitte erneut versuchen.
errors.app.db.already.updated=Bearbeitungskonflikt, bitte erneut versuchen.
errors.app.db.already.exists=Daten existieren bereits, bitte erneut versuchen.