func.return %1 : tensor<5xi64>
}

// CHECK-LABEL: func @testEmptyFloat
func.func @testEmptyFloat() -> (tensor<5xf64>) {
  %0 = "tf.Const"() { value = dense<5> : tensor<i32> } : () -> tensor<i32>

  // CHECK: [[VAL:%.+]] = "tf.Const"() <{value =  dense<0.000000e+00> : tensor<5xf64>}>
  // CHECK: return [[VAL]]
  %1 = "tf.Empty"(%0) : (tensor<i32>) -> (tensor<5xf64>)
  func.return %1 : tensor<5xf64>
}

  func.func private @f_callee_callee(%arg0: tensor<*x!tf_type.resource>) -> tensor<0xf32> {
    %0 = "tf.PartitionedCall"(%arg0) {config = "", config_proto = "", executor_type = "", f = @f_callee_callee} : (tensor<*x!tf_type.resource>) -> (tensor<0xf32>)
    func.return %0 : tensor<0xf32>
  }
}

// -----

// Test If Region immutable case.

module {

  %2 = "tf.Identity"(%1) {device = "/device:CPU:0"} : (tensor<1x3xf32>) -> tensor<1x3xf32>
  func.return %2 : tensor<1x3xf32>
}

// CHECK-LABEL: func @main
func.func @main(%arg0: tensor<1x3xf32> {tf_saved_model.index_path = ["input"]}) -> (tensor<*xf32> {tf_saved_model.index_path = ["r"]})
  attributes {tf_saved_model.exported_names = ["main"]} {

// CHECK: func @callee4()
func.func @callee4() {
  // CHECK:      [[CALLEE4_INIT_TOKEN:%.*]] = mhlo.create_token

  // CHECK:      [[CALL_5:%.*]] = call @callee5([[CALLEE4_INIT_TOKEN]])
  func.call @callee5() : () -> ()

  // CHECK:      return
  func.return
}

// CHECK: func private @callee5([[CALLEE5_ARG0:%.*]]: !mhlo.token) -> !mhlo.token
func.func private @callee5() {
  // CHECK-NOT:  mhlo.create_token

}

type podSecurityContextWrapper struct {
	podSC *api.PodSecurityContext
}

func (w *podSecurityContextWrapper) PodSecurityContext() *api.PodSecurityContext {
	return w.podSC
}

func (w *podSecurityContextWrapper) ensurePodSC() {
	if w.podSC == nil {
		w.podSC = &api.PodSecurityContext{}
	}
}

func (w *podSecurityContextWrapper) HostNetwork() bool {
	if w.podSC == nil {
		return false
	}

  // CHECK: func private @f(%arg0: tensor<*x!tf_type.resource>) -> tensor<f32>
  func.func private @f(%arg0: tensor<*x!tf_type.resource>) -> tensor<f32> {
    %val = "tf.PartitionedCall"(%arg0) {config = "", config_proto = "", executor_type = "", f = @g} : (tensor<*x!tf_type.resource>) -> (tensor<f32>)
    func.return %val : tensor<f32>
  }

  // CHECK: func private @g(%arg0: tensor<*x!tf_type.resource>) -> tensor<f32>

			}
		})
	}
}

func TestCreateOrMutateConfigMap(t *testing.T) {
	tests := []struct {
		name          string
		setupClient   func(*clientsetfake.Clientset)
		mutator       func(*v1.ConfigMap) error
		expectedError bool
	}{
		{
			name: "create configmap",
			setupClient: func(client *clientsetfake.Clientset) {

// CHECK: func private @tf.IfRegion_else(%arg0: tensor<2xi64>) -> tensor<*xf32>
// CHECK-NEXT:    "tf.Cast"
// CHECK: func private @tf.IfRegion_then(%arg0: tensor<2xi64>) -> tensor<*xf32>
// CHECK-NEXT:    "tf.Cast"
func.func private @testIf1Then(tensor<*xf32>) -> tensor<*xf32>
func.func private @testIf1Else(tensor<*xf32>) -> tensor<*xf32>

	}{
		{
			func() { klog.Error("foo") },
			"error\tklog\tfoo$",
		},
		{
			func() { klog.Error("foo") },
			"foo$",
		},
		{
			func() { klog.Errorf("fmt %v", "item") },
			"fmt item$",
		},
		{
			func() { klog.Errorf("fmt %v", "item") },
			"fmt item$",
		},
		{
			func() { klog.ErrorS(errors.New("my error"), "info") },
			"error\tklog\tmy error: info",
		},
		{
			func() { klog.Info("a", "b") },

// ellipsis parameters
func _(...int)
func _(...*int)
func _(...[]int)
func _(...struct{})
func _(bool, ...interface{})
func _(bool, ...func())
func _(bool, ...func(...int))
func _(bool, ...map[string]int)
func _(bool, ...chan int)

func _(b bool, x ...int)
func _(b bool, x ...*int)
func _(b bool, x ...[]int)
func _(b bool, x ...struct{})
func _(x ...interface{})
func _(x ...func())
func _(x ...func(...int))