addType(T.Elem())
		case *types.Slice:
			addType(T.Elem())
		case *types.Array:
			addType(T.Elem())
		case *types.Chan:
			addType(T.Elem())
		case *types.Map:
			addType(T.Key())
			addType(T.Elem())
		case *types.Signature:
			addType(T.Params())
			addType(T.Results())
			if tparams := T.TypeParams(); tparams != nil {
				for i := 0; i < tparams.Len(); i++ {
					addType(tparams.At(i))
				}
			}

        private
        val propertyOriginalTypes = mutableMapOf<KClass<*>, MutableMap<String, KType>>()

        private
        val claimedFunctions = mutableMapOf<KClass<*>, MutableSet<KFunction<*>>>()

        fun addType(kClass: KClass<*>) {
            properties.getOrPut(kClass) { mutableMapOf() }
            propertyOriginalTypes.getOrPut(kClass) { mutableMapOf() }
        }

                .addField(CONTEXT_FIELD)
                // actual content:
                .addMethod(visitMethodInsnBuilder.build())
                .addFields(typeFieldByOwner.values())
                .addType(factoryClass);
    }

    private static TypeSpec generateFactoryClass(String className, BytecodeInterceptorType interceptorType) {
        MethodSpec method = MethodSpec.methodBuilder("create")

  }
};

}  // namespace

MlrtDialect::MlrtDialect(mlir::MLIRContext *context)
    : mlir::Dialect(/*name=*/"mlrt", context,
                    mlir::TypeID::get<MlrtDialect>()) {
  addTypes<FutureType>();
  addTypes<PromiseType>();
  addTypes<AsyncHandleType>();
  addInterfaces<MlrtInlinerInterface>();

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/mlrt_ops.cpp.inc"
      >();
}

namespace tfrt {
namespace fallback {

FallbackDialect::FallbackDialect(MLIRContext *context)
    : Dialect(/*name=*/"tfrt_fallback", context,
              TypeID::get<FallbackDialect>()) {
  addTypes<TFTensorType, TFAllocatorType>();

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/tfrt_fallback.cpp.inc"
      >();
}

/// Parse a type registered to this dialect.

};

}  // namespace

TensorflowMlrtDialect::TensorflowMlrtDialect(mlir::MLIRContext *context)
    : mlir::Dialect(/*name=*/"tf_mlrt", context,
                    mlir::TypeID::get<TensorflowMlrtDialect>()) {
  addTypes<TFTensorType, TFDeviceType>();
  addInterfaces<TensorflowMlrtInlinerInterface>();

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_mlrt_ops.cpp.inc"
      >();

		Cluster: n.clusterID,
	}
	newGateways := model.NetworkGatewaySet{}
	for _, addr := range gw.Spec.Addresses {
		if addr.Type == nil {
			continue
		}
		if addrType := *addr.Type; addrType != v1beta1.IPAddressType && addrType != v1beta1.HostnameAddressType {
			continue
		}
		for _, l := range slices.Filter(gw.Spec.Listeners, autoPassthrough) {
			networkGateway := base
			networkGateway.Addr = addr.Value

	if rule.SourceAddress != nil && !addressMatches(tracer.t, rule.SourceAddress, sourceIP) {
		return false
	}
	if rule.SourceType != nil {
		addrtype := "not-matched"
		if tracer.localIPs.Has(sourceIP) {
			addrtype = "LOCAL"
		}
		if !rule.SourceType.Matches(addrtype) {
			return false
		}
	}

	if rule.Protocol != nil && !rule.Protocol.Matches(protocol) {
		return false
	}

	// table for 'name'.
	NAME_GOTREF
	// Indicates that this is a reference to a TOC anchor.
	NAME_TOCREF
)

//go:generate stringer -type AddrType

type AddrType uint8

const (
	TYPE_NONE AddrType = iota
	TYPE_BRANCH
	TYPE_TEXTSIZE
	TYPE_MEM
	TYPE_CONST
	TYPE_FCONST
	TYPE_SCONST
	TYPE_REG
	TYPE_ADDR
	TYPE_SHIFT
	TYPE_REGREG
	TYPE_REGREG2

	if err := goodFunc(name, typ); err != nil {
		return reflect.Value{}, err
	}
	numIn := typ.NumIn()
	var dddType reflect.Type
	if typ.IsVariadic() {
		if len(args) < numIn-1 {
			return reflect.Value{}, fmt.Errorf("wrong number of args for %s: got %d want at least %d", name, len(args), numIn-1)
		}
		dddType = typ.In(numIn - 1).Elem()
	} else {
		if len(args) != numIn {