const char* node_name = opdef.name().c_str();
    const char* op_name = opdef.name().c_str();
    const char* device_name = "CPU";
    static auto fake_compute_func = [](void* kernel, TF_OpKernelContext* ctx) {
    };

    TF_KernelBuilder* builder =
        TF_NewKernelBuilder(op_name, device_name, /*create_func=*/nullptr,
                            fake_compute_func, /*delete_func=*/nullptr);

                                "The number of composite op expanded.", "name");
}

void IncreaseOpExpansionExecuteCounterByOne(const std::string& op_name) {
  tf_core_op_expansion_op_counter->GetCell(op_name)->IncrementBy(1);
}

}  // namespace tensorflow

//===----------------------------------------------------------------------===//

				if !ztunnelPod {
					return fmt.Errorf("workloads command is only supported by Ztunnel proxies: %v", podName)
				}
				podNames = []string{podName}
				podNamespace = ns
			} else {
				var err error
				podNames, podNamespace, err = ctx.InferPodsFromTypedResource("daemonset/ztunnel", ctx.IstioNamespace())
				if err != nil {
					return err
				}
			}

			destLoggerLevels := map[string]Level{}

				return fmt.Errorf("no network system notify")
			}
			podNames := sets.New[string]("pod1", "pod2")
			svcNames := sets.New[string]("svc1")
			addresses := c.ambientIndex.All()
			for _, addr := range addresses {
				wl := addr.GetWorkload()
				if wl != nil {
					if !podNames.Contains(wl.Name) {
						continue
					}
					if addr.GetWorkload().Network != network {

    for (Operation* op : chain_resource_to_ops_map[kUnknownResourceAndDevice]) {
      std::string op_name = op->getName().getStringRef().str();
      if (blocking_ops.insert(op_name).second) {
        LOG(WARNING)
            << "[`tf-executor-convert-control-to-data-outputs` disabled] "
               "Op type '"
            << op_name
            << "' has unknown side effects and blocks inter iteration "

    if (visited_nonquantizable_ops_->contains(op)) {
      return false;
    }

    if (auto custom_op = llvm::dyn_cast_or_null<CustomOp>(op)) {
      std::string op_name = custom_op.getCustomCode().str();
      auto custom_map_iter = quant_specs_.custom_map.find(op_name);
      if (custom_map_iter != quant_specs_.custom_map.end())
        return isQuantizableIndex(
            operand_index, custom_map_iter->second.quantizable_input_indices);

	OUNSAFESTRINGDATA: "unsafe.StringData",
	OXOR:              "^",
}

// GoString returns the Go syntax for the Op, or else its name.
func (o Op) GoString() string {
	if int(o) < len(OpNames) && OpNames[o] != "" {
		return OpNames[o]
	}
	return o.String()
}

// Format implements formatting for an Op.
// The valid formats are:
//
//	%v	Go syntax ("+", "<-", "print")

// If `op_device` is non-empty, set the created op on that device.
void BinaryOpHelper(const char* op_name, TF_Operation* l, TF_Operation* r,
                    TF_Graph* graph, TF_Status* s, const char* name,
                    TF_Operation** op, const string& op_device, bool check) {
  TF_OperationDescription* desc = TF_NewOperation(graph, op_name, name);
  if (!op_device.empty()) {
    TF_SetDevice(desc, op_device.c_str());
  }

			}
		}
	}
	return "", false, false
}

// chooseExe finds and returns path to preferred binary. names is a list of
// names to search on both Linux and OSX. osxNames is a list of names specific
// to OSX. names always has a higher priority than osxNames. The order of
// the name within each list decides its priority (e.g. the first name has a
// higher priority than the second name in the list).
//

    contributors_results = get_contributors(pr_nodes=pr_nodes)
    authors = {**experts_results.authors, **contributors_results.authors}
    maintainers_logins = {"tiangolo"}
    bot_names = {"codecov", "github-actions", "pre-commit-ci", "dependabot"}
    maintainers = []
    for login in maintainers_logins:
        user = authors[login]
        maintainers.append(
            {