}

func (s *Schema) Maximum() *float64 {
	return s.Schema.Maximum
}

func (s *Schema) IsExclusiveMaximum() bool {
	return s.Schema.ExclusiveMaximum
}

func (s *Schema) MultipleOf() *float64 {
	return s.Schema.MultipleOf
}

func (s *Schema) UniqueItems() bool {
	return s.Schema.UniqueItems
}

func (s *Schema) MinItems() *int64 {
	return s.Schema.MinItems
}

func Xchg64(ptr *uint64, new uint64) uint64

//go:noescape
func Xchguintptr(ptr *uintptr, new uintptr) uintptr

//go:nosplit
//go:noinline
func Load8(ptr *uint8) uint8 {
	return *ptr
}

//go:noescape
func And8(ptr *uint8, val uint8)

//go:noescape
func Or8(ptr *uint8, val uint8)

//go:noescape
func And(ptr *uint32, val uint32)

//go:noescape
func Or(ptr *uint32, val uint32)

//go:noescape

func (c *sigctxt) r6() uint64  { return c.regs().x[6] }
func (c *sigctxt) r7() uint64  { return c.regs().x[7] }
func (c *sigctxt) r8() uint64  { return c.regs().x[8] }
func (c *sigctxt) r9() uint64  { return c.regs().x[9] }
func (c *sigctxt) r10() uint64 { return c.regs().x[10] }
func (c *sigctxt) r11() uint64 { return c.regs().x[11] }
func (c *sigctxt) r12() uint64 { return c.regs().x[12] }
func (c *sigctxt) r13() uint64 { return c.regs().x[13] }

	return p() == q()
}

func main() {
	shouldPanic(func() { f(nil, nil) })
	shouldPanic(func() { g(nil, nil) })
	shouldPanic(func() { h(nil, nil) })
	shouldPanic(func() { fi(nil, nil) })
	shouldPanic(func() { gi(nil, nil) })
	shouldPanic(func() { hi(nil, nil) })
	n := 0
	inc := func() struct{} {
		n++
		return struct{}{}
	}
	h(inc, inc)
	if n != 2 {
		panic("inc not called")
	}

package escape

var sink interface{}

func ClosureCallArgs0() {
	x := 0
	func(p *int) { // ERROR "p does not escape" "func literal does not escape"
		*p = 1
	}(&x)
}

func ClosureCallArgs1() {
	x := 0
	for {
		func(p *int) { // ERROR "p does not escape" "func literal does not escape"
			*p = 1
		}(&x)
	}
}

func ClosureCallArgs2() {
	for {
		x := 0

  func.return %0 : tensor<8x16xf32>
// CHECK-LABEL: square
// CHECK:  "tfl.square"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
}

func.func @neg(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
  %0 = "tf.Neg"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
  func.return %0 : tensor<8x16xf32>
// CHECK-LABEL: neg
// CHECK:  "tfl.neg"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
}

  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
}

func _[X Unsigned, T Unsigned](x X) T { return T(x) }
func _[X Float, T Unsigned](x X) T    { return T(x) }

func _[X Integer, T Float](x X) T  { return T(x) }
func _[X Unsigned, T Float](x X) T { return T(x) }
func _[X Float, T Float](x X) T    { return T(x) }

func _[X, T Integer | Unsigned | Float](x X) T { return T(x) }
func _[X, T Integer | ~string](x X) T {