ri.OpType == replication.ExistingObjectReplicationType {
				// if metadata is not updated for some reason after replication, such as
				// 503 encountered while updating metadata - make sure to set ReplicationStatus
				// as Completed.
				//
				// Note: Replication Stats would have been updated despite metadata update failure.
				rinfo.ReplicationAction = rAction

        });
        return redirect(getClass());
    }

    /**
     * Updates an existing elevate word entry.
     *
     * @param form edit form containing updated elevate word data
     * @return redirect response to the main elevate word page
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse update(final EditForm form) {

//msgp:ignore localLocker
type localLocker struct {
	mutex     sync.Mutex
	waitMutex atomic.Int32
	lockMap   map[string][]lockRequesterInfo
	lockUID   map[string]string // UUID -> resource map.

	// the following are updated on every cleanup defined in lockValidityDuration
	readers         atomic.Int32
	writers         atomic.Int32
	lastCleanup     atomic.Pointer[time.Time]
	locksOverloaded atomic.Int64
}

// getMutex will lock the mutex.

                    buf.append('{');
                    appendJson("id", entity.getId(), buf).append(',');
                    appendJson("created-at", entity.getCreatedAt(), buf).append(',');
                    appendJson("updated-at", entity.getUpdatedAt(), buf);
                    buf.append('}');
                    buf.append('\n');
                    try {
                        writer.write(buf.toString());

        // may have scheduled more operations on another thread, and if those operations then
        // trigger reentrant calls that thread will have updated the latestTaskQueue field, and
        // we'd be interfering with their operation.
        executingTaskQueue.thread = null;
      }
    }

    private boolean trySetStarted() {

      if (!status->status.ok()) return;
      input_tensors_vector[i] = &input_tensor;
    }
  }

  // Create an inference context with dummy values, which will be updated later.
  InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def,
                     std::vector<ShapeHandle>(num_inputs), input_tensors_vector,
                     {},

- event-exporter has been updated to v0.2.5. ([#77815](https://github.com/kubernetes/kubernetes/pull/77815))
- es-image has been updated to Elasticsearch 6.7.2. ([#77765](https://github.com/kubernetes/kubernetes/pull/77765))
- metrics-server has been updated to v0.3.3. ([#77950](https://github.com/kubernetes/kubernetes/pull/77950))
- ip-masq-agent has been updated to v2.4.1. ([#77844](https://github.com/kubernetes/kubernetes/pull/77844))

    }

    /**
     * Update an existing stemmer override item.
     * Validates the form data and updates the item in the dictionary.
     *
     * @param form The edit form containing updated item data
     * @return HTML response redirecting to the list page on success
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse update(final EditForm form) {

        });
        return redirect(getClass());
    }

    /**
     * Updates an existing scheduled job.
     *
     * @param form the edit form containing the updated job data
     * @return HTML response redirecting to the list page after update
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse update(final EditForm form) {

  TF_Graph* const cond_graph;
  const TF_Output* const cond_inputs;
  TF_Output cond_output;

  // The loop body graph. The inputs are the current values of the loop
  // variables. The outputs are the updated values of the loop variables.
  TF_Graph* const body_graph;
  const TF_Output* const body_inputs;
  TF_Output* const body_outputs;

  // Unique null-terminated name for this while loop. This is used as a prefix