return err
	}
	var state srState
	if !unlinkSelf {
		state = srState{
			Name:                    c.state.Name,
			Peers:                   updatedPeers,
			ServiceAccountAccessKey: c.state.ServiceAccountAccessKey,
		}
	}

	if err := c.saveToDisk(ctx, state); err != nil {
		return errSRBackendIssue(fmt.Errorf("unable to save cluster-replication state to drive on %s: %v", ourName, err))
	}

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing...

  // When `reset_context` is true, initialize new cluster context state based
  // on cluster configurations provided in `server_def`; otherwise, update
  // existing context state with the provided `server_def`. Contexts created
  // on remote tasks will be considered stale and garbage collected after
  // `keep_alive_secs` of inactivity.
  virtual absl::Status SetOrUpdateServerDef(

        assertEquals(expectedIndexNumber, info2.getIndexNumber());
    }

    @Test
    @DisplayName("Test encode with initial state")
    void testEncodeWithInitialState() {
        // Test encode without prior decode (initial state with indexNumber = 0)
        byte[] destinationBuffer = new byte[8];
        int bytesEncoded = fileInternalInfo.encode(destinationBuffer, 0);

        // Verify

          public void failed(State from, Throwable failure) {
            assertEquals(State.RUNNING, from);
            assertEquals(error, failure);
            latch.countDown();
          }
        },
        directExecutor());
    service.startAsync();
    latch.await();

    assertEquals(0, service.numberOfTimesRunCalled.get());
    assertEquals(Service.State.FAILED, service.state());
  }

          public void failed(State from, Throwable failure) {
            assertEquals(State.RUNNING, from);
            assertEquals(error, failure);
            latch.countDown();
          }
        },
        directExecutor());
    service.startAsync();
    latch.await();

    assertEquals(0, service.numberOfTimesRunCalled.get());
    assertEquals(Service.State.FAILED, service.state());
  }

    super.tearDown();
  }

  public void testListenerDoesNotRunUntilTaskCompletes() throws Exception {

    // Test default state of not started.
    assertEquals(1, listenerLatch.getCount());
    assertFalse(task.isDone());
    assertFalse(task.isCancelled());

    // Start the task to put it in the RUNNING state.  Have to use a separate
    // thread because the task will block on the task latch after unblocking
    // the run latch.

     * 4. We expect the client thread's interrupt state to be false.
     * 5. The client thread again makes a blocking call to get().
     * 6. Now the result becomes available.
     * 7. We expect get() to return this result.
     * 8. We expect the test thread's interrupt state to be false.
     */
    InterruptionUtil.requestInterruptIn(200, MILLISECONDS);

     * 4. We expect the client thread's interrupt state to be false.
     * 5. The client thread again makes a blocking call to get().
     * 6. Now the result becomes available.
     * 7. We expect get() to return this result.
     * 8. We expect the test thread's interrupt state to be false.
     */
    InterruptionUtil.requestInterruptIn(200, MILLISECONDS);

     */
    CLOSING(7);

    private final int value;

    ChannelState(int value) {
        this.value = value;
    }

    /**
     * Get the numeric value of this state
     *
     * @return state value
     */
    public int getValue() {
        return value;
    }