func (n *Func) editChildren(edit func(Node) Node)           { editNodes(n.Body, edit) }
func (n *Func) editChildrenWithHidden(edit func(Node) Node) { editNodes(n.Body, edit) }

func (f *Func) Type() *types.Type                { return f.Nname.Type() }
func (f *Func) Sym() *types.Sym                  { return f.Nname.Sym() }
func (f *Func) Linksym() *obj.LSym               { return f.Nname.Linksym() }

// Returns true iff the function's symbol is public.
bool IsPublicFuncOp(func::FuncOp func_op) {
  return SymbolTable::getSymbolVisibility(&*func_op) ==
         SymbolTable::Visibility::Public;
}

}  // namespace

func::FuncOp FindMainFuncOp(ModuleOp module_op) {
  if (const auto main_func_op = module_op.lookupSymbol<func::FuncOp>(
          kImportModelDefaultGraphFuncName);

}
func (f *Func) ConstInt32(t *types.Type, c int32) *Value {
	return f.constVal(OpConst32, t, int64(c), true)
}
func (f *Func) ConstInt64(t *types.Type, c int64) *Value {
	return f.constVal(OpConst64, t, c, true)
}
func (f *Func) ConstFloat32(t *types.Type, c float64) *Value {
	return f.constVal(OpConst32F, t, int64(math.Float64bits(float64(float32(c)))), true)
}
func (f *Func) ConstFloat64(t *types.Type, c float64) *Value {

#define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_COMMON_FUNC_H_

#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project

namespace mlir::quant {

// Returns a public `func::FuncOp` in `module_op` whose name matches either
// `main` or `serving_default`. If `func::FuncOps` with both names exist, the
// function with name "main" takes precedence. Returns null if no such a

// (Call typecheck.Func instead.)
func tcFunc(n *ir.Func) {
	if base.EnableTrace && base.Flag.LowerT {
		defer tracePrint("tcFunc", n)(nil)
	}

	if name := n.Nname; name.Typecheck() == 0 {
		base.AssertfAt(name.Type() != nil, n.Pos(), "missing type: %v", name)
		name.SetTypecheck(1)
	}
}

// tcCall typechecks an OCALL node.
func tcCall(n *ir.CallExpr, top int) ir.Node {

# CHECK-DAG: func private @custom_embedding_matmul{{[0-9]*}}(){{.+}}tf._implements = #tf_type.func<@tensorflow.embedding_matmul, {key1 = 2 : i64, key2 = false}>, tf._original_func_name = "custom_embedding_matmul"}...

  "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>):

		f      func(int32) int32
		golden func(int32) int32
	}{
		{"x|x", func(x int32) int32 { return x | x }, id},
		{"x|0", func(x int32) int32 { return x | 0 }, id},
		{"x|-1", func(x int32) int32 { return x | -1 }, func(x int32) int32 { return -1 }},
		{"x&x", func(x int32) int32 { return x & x }, id},
		{"x&0", func(x int32) int32 { return x & 0 }, zero},
		{"x&-1", func(x int32) int32 { return x & -1 }, id},

  func.return %0 : tensor<i1>
}

// CHECK-LABEL: func.func @while_body_func
func.func @while_body_func(%arg0: tensor<i32>) -> (tensor<i32>) {
  %0 = "tf.StatefulPartitionedCall"(%arg0) {config = "", config_proto = "", device = "/device:CPU:0", executor_type = "", f = @outer_stateful_pcall_func} : (tensor<i32>) -> (tensor<i32>)
  func.return %0 : tensor<i32>
}

func.func @outer_stateful_pcall_func(%arg0: tensor<i32>) -> (tensor<i32>) {

}

func _() (_, _ func(int)) { return f1, f1 }
func _() (_, _ func(int)) { return f1, f2 /* ERROR "cannot infer P" */ }

// Argument passing
func g1(func(int))                           {}
func g2(func(int, int))                      {}
func g3(func(int) string)                    {}
func g4[P any](func(P) string)               {}
func g5[P, Q any](func(P) string, func(P) Q) {}