}

//go:noinline
func multilineDeclarationFunc1(
	a, b, c int) int {
	return callerStartLine(false)
}

func blankLinesFunc() int {

	// Some
	// lines
	// without
	// code

	return callerStartLine(false)
}

func inlineFunc() int {
	return inlineFunc1()
}

func inlineFunc1() int {
	return callerStartLine(true)
}

var closureFn func() int

func normalClosure() int {

// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

func.func @main(%arg0: tensor<10xi32>, %arg1: tensor<10xi32>) -> tensor<10xi32>
attributes {tf.entry_function = {inputs = "foo,bar", outputs = "Add"}} {
  %graph = tf_executor.graph {
    // This node would be renamed to bar1 [note: if imported from TF graphdef this would not be possible]

  func.func @main() {
// CHECK: arith.constant
// CHECK: TPUCompile
// CHECK: TPUExecute
// CHECK-NOT: func @_func
    tf_executor.graph {
      %outputs, %control = tf_executor.island wraps "arith.constant"() {value = dense<2.000000e+00> : tensor<f32>} : () -> tensor<f32>

func (Type1) Func1_foo() {}
func (Type1) func2() {}

func (type2) Func1() {}

type (
	Conflict          int
	Conflict_Conflict int
	Conflict_conflict int
)

func (Conflict) Conflict() {}

func GFunc[T any]() {}

type GType[T any] int

func (GType[T]) M() {}
`
	const test = `
package p_test

func ExampleConst1() {} // invalid - no support for consts and vars

// call to DeclFunc.
func FinishFuncBody() {
	funcStack, ir.CurFunc = funcStack[:len(funcStack)-1], funcStack[len(funcStack)-1]
}

func CheckFuncStack() {
	if len(funcStack) != 0 {
		base.Fatalf("funcStack is non-empty: %v", len(funcStack))
	}
}

// make a new Node off the books.
func TempAt(pos src.XPos, curfn *ir.Func, typ *types.Type) *ir.Name {
	if curfn == nil {

  "func.func"() ({
  ^bb0(%arg0: tensor<i32>):
    "func.return"(%arg0) : (tensor<i32>) -> ()
  }) {sym_name = "main_while_body_4225150", sym_visibility = "private", tf._input_shapes = [#tf_type.shape<>], tf.signature.is_stateful, function_type = (tensor<i32>) -> (tensor<i32>)} : () -> ()
  "func.func"() ({
  ^bb0(%arg0: tensor<i32>):

        return "{}";
      }
      LOG(WARNING) << "Unimplemented: default value of list-typed attribute.";
      return "/* UNIMPLEMENTED */";
    case AttrValue::kShape:
    case AttrValue::kTensor:
    case AttrValue::kFunc:
    case AttrValue::kPlaceholder:
      LOG(ERROR) << "Unexpected non-primitive attribute value.";
      return "/* ERROR */";
  }
}

string AttrView::VariableStrLen() const {

		},
	} {
		for i, size := range []int{8, 16, 32, 64} {
			if e.out[i] == nil {
				continue // function doesn't exist
			}
			f := fmt.Sprintf("%s%d", e.name, size)
			fmt.Fprintf(w, "\nfunc Example%s() {\n", f)
			switch e.name {
			case "RotateLeft", "Reverse", "ReverseBytes":
				fmt.Fprintf(w, "\tfmt.Printf(\"%%0%db\\n\", %d)\n", size, e.in)
				if e.name == "RotateLeft" {

	fmt.Fprintf(&w, "\nimport (\n")
	fmt.Fprintf(&w, "\t\"os\"\n")
	fmt.Fprintf(&w, "\t\"fmt\"\n")
	fmt.Fprintf(&w, ")\n\n")

	for i := 0; i < FN; i++ {
		fmt.Fprintf(&w, "func bigfn%d()\n", i)
	}
	fmt.Fprintf(&w, "\nfunc main() {\n")

	// There are lots of dummy code generated in the .s files just to generate a lot
	// of text. Link them in but guard their call so their code is not executed but

    func.return
  }
  func.func @empty_func() {
    func.return
  }
}

// -----

// Tests `tf_device.cluster_func` with bad `num_cores_per_replicas` attribute.

module attributes {tf.versions = {producer = 888 : i32}, tf.devices = ["/job:worker/replica:0/task:0/device:CPU:0", "/job:worker/replica:0/task:0/device:TPU_SYSTEM:0", "/job:worker/replica:0/task:0/device:TPU:0"]} {
  func.func @bad_num_cores_per_replica() {