-A PREROUTING -m addrtype --dst-type LOCAL -j DOCKER
		-A PREROUTING -m addrtype --dst-type LOCAL -m comment --comment "handle service NodePorts; NOTE: this must be the last rule in the chain" -j KUBE-NODEPORT-CONTAINER
		-A OUTPUT -m comment --comment "handle ClusterIPs; NOTE: this must be before the NodePort rules" -j KUBE-PORTALS-HOST
		-A OUTPUT ! -d 127.0.0.0/8 -m addrtype --dst-type LOCAL -j DOCKER

		{
			name: "local source",
			rule: `-A KUBE-XLB-GNZBNJ2PO5MGZ6GT -m comment --comment "masquerade LOCAL traffic for ns2/svc2:p80 LB IP" -m addrtype --src-type LOCAL -j KUBE-MARK-MASQ`,
			parsed: &Rule{
				Raw:        `-A KUBE-XLB-GNZBNJ2PO5MGZ6GT -m comment --comment "masquerade LOCAL traffic for ns2/svc2:p80 LB IP" -m addrtype --src-type LOCAL -j KUBE-MARK-MASQ`,
				Chain:      iptables.Chain("KUBE-XLB-GNZBNJ2PO5MGZ6GT"),

// license that can be found in the LICENSE file.

package main

type (
	Point struct {
		x, y float64
	}
	Polar Point
)

func main() {
}

/*
bug7.go:5: addtyp: renaming Point to Polar
main.go.c:14: error: redefinition of typedef ‘_T_2’
main.go.c:13: error: previous declaration of ‘_T_2’ was here
main.go.c:16: error: redefinition of ‘struct _T_2’

		return nil, err
	}
	d.unit = u
	return d, nil
}

// AddTypes will add one .debug_types section to the DWARF data. A
// typical object with DWARF version 4 debug info will have multiple
// .debug_types sections. The name is used for error reporting only,
// and serves to distinguish one .debug_types section from another.
func (d *Data) AddTypes(name string, types []byte) error {
	return d.parseTypes(name, types)
}

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.

				}
			}
		}
	}
}

func simpleEndpointSlice(name, ip string, addrType discovery.AddressType) *discovery.EndpointSlice {
	return &discovery.EndpointSlice{
		ObjectMeta: metav1.ObjectMeta{
			Name: name,
		},
		AddressType: addrType,
		Endpoints: []discovery.Endpoint{{
			Addresses: []string{ip},
		}},
	}

	return allErrs
}

func validateEndpoints(endpoints []discovery.Endpoint, addrType discovery.AddressType, fldPath *field.Path) field.ErrorList {
	allErrs := field.ErrorList{}

	if len(endpoints) > maxEndpoints {
		allErrs = append(allErrs, field.TooMany(fldPath, len(endpoints), maxEndpoints))

      .def(py::init([](mlir::Location loc, std::string name) {
        return mlir::OperationState(loc, llvm::StringRef(name));
      }))
      .def("addTypes",
           [](mlir::OperationState& state, std::vector<mlir::Type> tys) {
             state.addTypes(mlir::ArrayRef<mlir::Type>(tys));
           })
      .def("addOperands",
           [](mlir::OperationState& os, std::vector<mlir::Value> ops) {

};

}  // 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