// For test only
	httpPort chan int
	grpcPort chan int
}

func (s *extAuthzServerV2) logRequest(allow string, request *authv2.CheckRequest) {
	httpAttrs := request.GetAttributes().GetRequest().GetHttp()
	log.Printf("[gRPCv2][%s]: %s%s, attributes: %v\n", allow, httpAttrs.GetHost(),
		httpAttrs.GetPath(),
		request.GetAttributes())
}

func (s *extAuthzServerV2) allow(request *authv2.CheckRequest) *authv2.CheckResponse {

		ServiceName: serviceName,
	}

	if otelProvider.GetHttp() == nil {
		// export via gRPC
		oc.GrpcService = &core.GrpcService{
			TargetSpecifier: &core.GrpcService_EnvoyGrpc_{
				EnvoyGrpc: &core.GrpcService_EnvoyGrpc{
					ClusterName: cluster,
					Authority:   hostname,
				},
			},
		}
	} else {
		// export via HTTP
		httpService := otelProvider.GetHttp()

            isinstance(field_info, params.Param)
            and getattr(field_info, "in_", None) is None
        ):
            field_info.in_ = params.ParamTypes.query
        use_annotation_from_field_info = get_annotation_from_field_info(
            use_annotation,
            field_info,
            param_name,
        )
        if not field_info.alias and getattr(field_info, "convert_underscores", None):

  // Check that there are no duplicated exported_names.
  DenseMap<StringRef, Operation *> exported_name_to_op;
  for (auto &op : module) {
    auto attr = op.getAttr(exported_names_ident);
    if (!attr) continue;
    // If this verifier is called before we verify the
    // 'tf_saved_model.exported_names' attribute, then it might be invalid.

                        ctx->GetAttr("Tconstants", &constant_types));
  std::vector<int> constants(constant_types.size());
  std::iota(constants.begin(), constants.end(), 0);
  return constants;
}

std::vector<int> ResourcesVector(OpKernelConstruction* ctx) {
  DataTypeVector constant_types;
  OP_REQUIRES_OK_RETURN(ctx, std::vector<int>(),
                        ctx->GetAttr("Tconstants", &constant_types));

    cc_type v;                                                                 \
    auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelConstruction*>(ctx); \
    absl::Status s = cc_ctx->GetAttr(attr_name, &v);                           \
    ::tensorflow::Set_TF_Status_from_Status(status, s);                        \
    if (s.ok()) {                                                              \

	includeMx bool,
) []*listener.Filter {
	idleTimeout := destinationRule.GetTrafficPolicy().GetConnectionPool().GetTcp().GetIdleTimeout()
	if idleTimeout == nil {
		idleTimeout = parseDuration(lb.node.Metadata.IdleTimeout)
	}
	tcpProxy := &tcp.TcpProxy{
		StatPrefix:                      statPrefix,

  StringAttr device = mlir::cast<StringAttr>(
      added_func_op->getRegion(0).getBlocks().front().front().getAttr(kDevice));
  StringAttr inference_type = mlir::cast<StringAttr>(
      added_func_op->getRegion(0).getBlocks().front().front().getAttr(
          kInferenceType));
  added_call_op->setAttr(kDevice, device);
  added_call_op->setAttr(kInferenceType, inference_type);

    if operation_id in operation_ids:
        message = (
            f"Duplicate Operation ID {operation_id} for function "
            + f"{route.endpoint.__name__}"
        )
        file_name = getattr(route.endpoint, "__globals__", {}).get("__file__")
        if file_name:
            message += f" at {file_name}"
        warnings.warn(message, stacklevel=1)
    operation_ids.add(operation_id)

  EXPECT_TRUE(isa<TF::XlaCallModuleOp>(lifted_op));
  EXPECT_EQ(
      mlir::cast<StringAttr>(lifted_op->getAttr("_original_entry_function")),
      "composite_dot_general_fn_1");
  EXPECT_EQ(
      mlir::cast<ArrayAttr>(lifted_dot_general_op->getAttr("precision_config")),
      builder_.getArrayAttr(SmallVector<Attribute>(
          1, mlir::stablehlo::PrecisionAttr::get(