//
// This represents the type information with OpDef::ArgDef and any type-related
// context.
class ArgType {
 public:
  ArgType() = default;
  ArgType(const ArgType& other) = default;
  static ArgType CreateInput(const OpDef::ArgDef& arg_def);
  static ArgType CreateInputRef(const OpDef::ArgDef& arg_def);
  static ArgType CreateOutput(const OpDef::ArgDef& arg_def);

  const tensorflow::DataType data_type() const { return data_type_; }

namespace tensorflow {
namespace generator {

ArgType ArgType::CreateInput(const OpDef::ArgDef& arg_def) {
  return ArgType(arg_def, kInput);
}

ArgType ArgType::CreateInputRef(const OpDef::ArgDef& arg_def) {
  return ArgType(arg_def, kInputRef);
}

ArgType ArgType::CreateOutput(const OpDef::ArgDef& arg_def) {
  return ArgType(arg_def, kOutput);
}

ArgType::ArgType(const OpDef::ArgDef& arg_def, Kind kind)

namespace generator {

ArgSpec::ArgSpec(const OpDef::ArgDef& arg_def, ArgType arg_type, int position)
    : name_(arg_def.name()),
      description_(arg_def.description()),
      arg_type_(arg_type),
      position_(position) {}

ArgSpec ArgSpec::CreateInput(const OpDef::ArgDef& arg_def, int position) {
  if (arg_def.is_ref()) {
    return ArgSpec(arg_def, ArgType::CreateInputRef(arg_def), position);
  } else {

		off := a.BitFields.ParseSigned(i) << a.Shift
		neg := int64(-1) << (int(a.Shift) + a.BitFields.NumBits())
		return Offset(neg | off)
	}
}

type ArgType int8

const (
	TypeUnknown      ArgType = iota
	TypePCRel                // PC-relative address
	TypeLabel                // absolute address
	TypeReg                  // integer register

  const string& description() const { return description_; }
  const ArgType arg_type() const { return arg_type_; }
  const int position() const { return position_; }

 private:
  explicit ArgSpec(const OpDef::ArgDef& arg_def, ArgType arg_type,
                   int position);

  string name_;
  string description_;
  ArgType arg_type_;
  int position_;
};

}  // namespace generator

#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {
namespace cpp {

class ArgTypeView {
 public:
  explicit ArgTypeView(ArgType arg_type);

  string TypeName() const;

 private:
  ArgType arg_type_;
};

}  // namespace cpp
}  // namespace generator
}  // namespace tensorflow

// prepareArg checks if value can be used as an argument of type argType, and
// converts an invalid value to appropriate zero if possible.
func prepareArg(value reflect.Value, argType reflect.Type) (reflect.Value, error) {
	if !value.IsValid() {
		if !canBeNil(argType) {
			return reflect.Value{}, fmt.Errorf("value is nil; should be of type %s", argType)
		}
		value = reflect.Zero(argType)
	}
	if value.Type().AssignableTo(argType) {

     */
    private void setConfigFailurePolicy(TestNG testNg, String value) {
        Class<?> argType;
        Object argValue;
        try {
            argType = Class.forName("org.testng.xml.XmlSuite$FailurePolicy", false, testNg.getClass().getClassLoader());
            argValue = argType.getMethod("getValidPolicy", String.class).invoke(null, value);
        } catch (Exception e) {

		switch {
		case fromType == argType:
			// already in the right type, nothing to do
			arg = n
		case fromType.Kind() == argType.Kind(),
			fromType.IsPtrShaped() && argType.IsPtrShaped():
			// can directly convert (e.g. named type to underlying type, or one pointer to another)
			// TODO: never happens because pointers are directIface?
			arg = ir.NewConvExpr(pos, ir.OCONVNOP, argType, n)

			}
			continue
		}
		// First arg need not be a pointer.
		argType := mtype.In(1)
		if !isExportedOrBuiltinType(argType) {
			if logErr {
				log.Printf("rpc.Register: argument type of method %q is not exported: %q\n", mname, argType)
			}
			continue
		}
		// Second arg must be a pointer.
		replyType := mtype.In(2)