}

mlir::LogicalResult IslandOp::verify() {
  IslandOp island = *this;
  if (!island.GetBody().args_empty())
    return island.emitOpError() << "expects body without any arguments";

  Operation &yield = island.GetBody().back();
  if (!isa<YieldOp>(yield))
    return yield.emitOpError()
           << "invalid tf_executor.island terminator, yield expected";

	informerFactory.Start(ctx.Done())
	if !cache.WaitForCacheSync(ctx.Done(), ctbInformer.Informer().HasSynced) {
		t.Fatalf("Timed out waiting for informer to sync")
	}

	t.Run("foo should yield the first certificate", func(t *testing.T) {
		gotBundle, err := ctbManager.GetTrustAnchorsByName("foo", false)
		if err != nil {
			t.Fatalf("Got error while calling GetTrustAnchorsBySigner: %v", err)
		}

       // CHECK: "tf.Yield"(%[[CONST]])
       %constant = "tf.Const"() {value = dense<0.0> : tensor<4xf32>} : () -> tensor<4xf32>
       "tf.AssignVariableOp"(%0, %constant) : (tensor<*x!tf_type.resource<tensor<4xf32>>>, tensor<4xf32>) -> ()
       "tf.Yield"() : () -> ()
      }, {
       // CHECK: "tf.Yield"(%[[READ]])
       "tf.Yield"() : () -> ()

func (*T) PM() {}
func (T) M()   {}

func test() {
	for range T.M { // ERROR "cannot range over T.M \(value of type func\(T\)\): func must be func\(yield func\(...\) bool\): argument is not func"
	}
	for range (*T).PM { // ERROR "cannot range over \(\*T\).PM \(value of type func\(\*T\)\): func must be func\(yield func\(...\) bool\): argument is not func"
	}

      %3 = "tf_device.cluster"() ({
        %4 = "tf.B"(%2) : (tensor<?xi32>) -> tensor<?xi32>
        tf_device.return %4 : tensor<?xi32>
      }) {} : () -> tensor<?xi32>

      // CHECK: tf_executor.yield %[[CLUSTER_OUTPUT]]
      tf_executor.yield %3 : tensor<?xi32>
    }
    tf_executor.fetch %1#0 : tensor<?xi32>
  }
  func.return %0 : tensor<?xi32>
}

// CHECK: func private @[[CLUSTER]]

                    yield webConfigService.getWebConfig(id).get();
                }
                case FILE -> {
                    final FileConfigService fileConfigService = ComponentUtil.getComponent(FileConfigService.class);
                    yield fileConfigService.getFileConfig(id).get();
                }
                case DATA -> {

				break
			}
			iterChans[0] <- i
		}
	}()
	wg.Wait()

	// End of traced execution.
	trace.Stop()
}

func pullRange(n int) intIter {
	next, stop := iter.Pull(func(yield func(v int) bool) {
		for i := range n {
			yield(i)
		}
	})
	return intIter{next: next, stop: stop}
}

type intIter struct {
	next func() (int, bool)
	stop func()

// CHECK-NEXT:   %[[MY_CUSTOM:.*]] = "tf.MyCustomOp"(%arg1, %arg2) {fused_activation_function = "RELU", int_attr = 2 : i32} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>
// CHECK-NEXT:   "tfl.yield"(%[[MY_CUSTOM]]) : (tensor<4xf32>) -> ()
// CHECK-NEXT: }) {fused_activation_function = "RELU", int_attr = 2 : i32} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>
// CHECK-NEXT: %[[CUSTOM_2:.*]] = "tfl.custom_tf"(%[[MUL]], %[[CST]]) ({

    pass


async def asyncgen_state(state: Dict[str, str] = Depends(get_state)):
    state["/async"] = "asyncgen started"
    yield state["/async"]
    state["/async"] = "asyncgen completed"


def generator_state(state: Dict[str, str] = Depends(get_state)):
    state["/sync"] = "generator started"
    yield state["/sync"]
    state["/sync"] = "generator completed"

			}
			ev++
			cnt++
		}
		if cnt != size {
			t.Errorf("read %d values expected %d", cnt, size)
		}
	}
}

func testSeq(yield func(int) bool) {
	for i := 0; i < 10; i += 2 {
		if !yield(i) {
			return
		}
	}
}

var testSeqResult = []int{0, 2, 4, 6, 8}

func TestAppendSeq(t *testing.T) {
	s := AppendSeq([]int{1, 2}, testSeq)