// CHECK-SAME: {body_fn = @"map/while/LoopCond_body/MapFnBody", num_tensor_list_or_flow_in = 1 : i32} 
  // CHECK-NOT: tf.While

    // NPE on null listener, so we propagate that contract up into the add method as well.
    checkNotNull(runnable, "Runnable was null.");
    checkNotNull(executor, "Executor was null.");

    // Lock while we check state. We must maintain the lock while adding the new pair so that
    // another thread can't run the list out from under us. We only add to the list if we have not
    // yet started execution.
    synchronized (this) {
      if (!executed) {

        -> !tf_res
      // CHECK-NEXT: "tf.VarHandleOp"
      %var_handle = "tf.VarHandleOp"() {container = "c", shared_name = "v0", device = "/TPU:1"}
        : () -> !tf_res
      // CHECK-NEXT: "tf.While"
      "tf.While"(%arg1, %id0, %var_handle) {
          body = @while_body,
          cond = @while_cond, is_stateless = false}
        : (tensor<i32>, !tf_res,
           !tf_res) ->
          (tensor<i32>, !tf_res,

 * of the dependency graph, as well as access to any failures that occurred while
 * building the graph.
 */
public interface VisitedGraphResults {

    /**
     * Returns true if any failures occurred while building these results.
     */
    boolean hasAnyFailure();

    /**
     * Visits all failures that occurred while resolving the graph.
     *

	OperatorVersionLabel = monitoring.CreateLabel("version")

	// MergeErrorLabel describes the type of merge error.
	MergeErrorLabel = monitoring.CreateLabel("error_type")

	// RenderErrorLabel describes the type of the error while rendering.
	RenderErrorLabel = monitoring.CreateLabel("render_error")

	// CRFetchErrorReasonLabel describes the reason/HTTP code
	// for failing to fetch CR.
	CRFetchErrorReasonLabel = monitoring.CreateLabel("reason")

                        b = b * 10 + c - '0';
                    }
                    ip = ( ip << 8 ) + b;
                }
                while( i < data.length && Character.isWhitespace( data[i] )) {
                    i++;
                }
                j = i;
                while( j < data.length && Character.isWhitespace( data[j] ) == false ) {
                    j++;
                }

 *   <li>It is easy for the user to ensure that listeners are never invoked while holding locks.
 * </ul>
 *
 * The last point is subtle. Often the observable object will be managing its own internal state
 * using a lock, however it is dangerous to dispatch listeners while holding a lock because they
 * might run on the {@code directExecutor()} or be otherwise re-entrant (call back into your

		return
	}

	if !initSystem.ServiceExists(kubeadmconstants.Kubelet) {
		fmt.Println("[kubelet-start] Couldn't detect a kubelet service, can't make sure the kubelet not running for a short period of time while setting up configuration for it.")
	}

  // CHECK: [[pred_0:%.*]]:2 = tfrt.call @"while_cond_lt9/tfrt_predicate"
  // CHECK: tfrt.while [[pred_0]]#1 @"while_body_add2/tfrt_body_10"
  // CHECK-SAME: parallel_iterations(10)
  // CHECK: [[pred_1:%.*]]:2 = tfrt.call @"while_cond_lt9/tfrt_predicate"
  // CHECK: tfrt.while [[pred_1]]#1 @"while_body_add2/tfrt_body_1"
  // CHECK-SAME: parallel_iterations(1)

        return input;
    }

    public void writeTo(OutputStream target) throws IOException {
        while (prepareRead() != -1) {
            currentReadChunk.writeTo(target);
        }
    }

    public void readFrom(InputStream inputStream, int len) throws IOException {
        int bytesLeft = len;
        while (bytesLeft > 0) {
            int spaceLeft = allocateSpace();