go func() {
		v = 1
		c <- 0
	}()
	<-c
	v = 2
}

func TestRaceChanAsyncRev(t *testing.T) {
	v := 0
	_ = v
	c := make(chan int, 10)
	go func() {
		c <- 0
		v = 1
	}()
	v = 2
	<-c
}

func TestNoRaceChanAsyncCloseRecv(t *testing.T) {
	v := 0
	_ = v
	c := make(chan int, 10)
	go func() {
		v = 1
		close(c)
	}()
	func() {
		defer func() {
			recover()

  func.return %0 : tensor<2xf32>
}

// -----

// If with no outputs, some inputs
// CHECK: func private @testIf1Then{{.+}}
// CHECK: func private @testIf1Else{{.+}}
func.func private @testIf1Then(tensor<*xf32>) -> ()
func.func private @testIf1Else(tensor<*xf32>) -> ()

// CHECK-LABEL: func @testIfNoResult(%arg0: tensor<i1>, %arg1: tensor<2xf32>)
func.func @testIfNoResult(%arg0: tensor<i1>, %arg1: tensor<2xf32>) -> () {

	`package p;`,
	`package p; import "fmt"; func f() { fmt.Println("Hello, World!") };`,
	`package p; func f() { if f(T{}) {} };`,
	`package p; func f() { _ = <-chan int(nil) };`,
	`package p; func f() { _ = (<-chan int)(nil) };`,
	`package p; func f() { _ = (<-chan <-chan int)(nil) };`,
	`package p; func f() { _ = <-chan <-chan <-chan <-chan <-int(nil) };`,
	`package p; func f(func() func() func());`,
	`package p; func f(...T);`,

  func.return %0 : tensor<4xcomplex<f64>>
}

func.func @f16() -> tensor<4xf16> {
  // CHECK-LABEL: @f16
  // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf16>
  %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf16> } : () -> tensor<4xf16>
  func.return %0 : tensor<4xf16>
}

func.func @f32() -> tensor<4xf32> {
  // CHECK-LABEL: @f32

		return x
	}
}

func foo23a(x int) func() int {
	f := func() int { // ERROR "func literal escapes to heap$"
		return x
	}
	return f
}

func foo23b(x int) *(func() int) {
	f := func() int { return x } // ERROR "func literal escapes to heap$" "moved to heap: f$"
	return &f
}

func foo23c(x int) func() int { // ERROR "moved to heap: x$"

  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 {

// CHECK-LABEL: func @check_sharding_attrs_exists_for_empty_cluster_func
func.func @check_sharding_attrs_exists_for_empty_cluster_func() {
  "tf_device.cluster_func"() {func = @empty_func, step_marker_location = "", num_cores_per_replica = 1 : i64} : () -> ()
  // CHECK: input_sharding_configuration = []
  // CHECK: output_sharding_configuration = []
  func.return
}

// CHECK-LABEL: func @empty_func() {
func.func @empty_func() {
  func.return
}

    `,
		f: func(t *T) {
			ranSeq := false
			ranPar := false
			t.Run("", func(t *T) {
				t.Run("par", func(t *T) {
					t.Parallel()
					ranPar = true
				})
				t.Run("seq", func(t *T) {
					ranSeq = true
				})
				t.FailNow()
				t.Run("seq", func(t *T) {
					realTest.Error("test must be skipped")
				})
				t.Run("par", func(t *T) {
					t.Parallel()

func (sb *SymbolBuilder) Type() sym.SymKind      { return sb.kind }
func (sb *SymbolBuilder) Size() int64            { return sb.size }
func (sb *SymbolBuilder) Data() []byte           { return sb.data }
func (sb *SymbolBuilder) Value() int64           { return sb.l.SymValue(sb.symIdx) }
func (sb *SymbolBuilder) Align() int32           { return sb.l.SymAlign(sb.symIdx) }