type InitWatchFunc func()
type InjectErrFunc func(err error)
type IsErrorFunc func(err error) bool
type CreateFunc func(context.Context, runtime.Object) error
type SetRVFunc func(uint64)
type UpdateFunc func(runtime.Object) runtime.Object

// Test creating an object.
func (t *Tester) TestCreate(valid runtime.Object, createFn CreateFunc, getFn GetFunc, invalid ...runtime.Object) {

		}
	}
}

func TestCreateCertificateFilesMethods(t *testing.T) {

	var tests = []struct {
		createFunc    func(cfg *kubeadmapi.InitConfiguration) error
		expectedFiles []string
		externalEtcd  bool
	}{
		{
			createFunc: CreatePKIAssets,
			expectedFiles: []string{
				kubeadmconstants.CACertName, kubeadmconstants.CAKeyName,

		{Group: "autoscaling", Version: "v2", Kind: name.HPAStr},
	}
	return res
}

var (
	ownedResourcePredicates = predicate.TypedFuncs[*unstructured.Unstructured]{
		CreateFunc: func(_ event.TypedCreateEvent[*unstructured.Unstructured]) bool {
			// no action
			return false
		},
		GenericFunc: func(_ event.TypedGenericEvent[*unstructured.Unstructured]) bool {
			// no action

 public:
  explicit CGraphOptimizer(TP_Optimizer optimizer, const char* device_type)
      : optimizer_(optimizer), device_type_(device_type) {
    if (optimizer.create_func != nullptr) {
      c_optimizer_ = (*optimizer_.create_func)();
    } else {
      c_optimizer_ = nullptr;
    }
  }
  std::string name() const override { return "PluggableGraphOptimizer"; }

                     void* (*create_func)(TF_OpKernelConstruction*),
                     void (*compute_func)(void*, TF_OpKernelContext*),
                     void (*delete_func)(void*))
      : OpKernel(ctx), compute_func_(compute_func), delete_func_(delete_func) {
    if (create_func != nullptr) {
      c_kernel_ =
          (*create_func)(reinterpret_cast<TF_OpKernelConstruction*>(ctx));
    } else {

//
// If non-null, TensorFlow will call create_func when it needs to instantiate
// the kernel. The pointer returned by create_func will be passed to
// compute_func and delete_func, thereby functioning as a "this" pointer for
// referring to kernel instances.
//
// The TF_OpKernelConstruction pointer passed to create_func is owned by
// TensorFlow and will be deleted once create_func returns. It must not be used
// after this.
//

//      TF_TriState_Off;
//
//      // Set functions to create a new optimizer.
//      params->optimizer->struct_size = TP_OPTIMIZER_STRUCT_SIZE;
//      params->optimizer->create_func = (My_optimizer::create_func);
//    }

#define GO_MAJOR 0
#define GO_MINOR 0
#define GO_PATCH 1

#ifdef __cplusplus
extern "C" {
#endif

// TF_TriState is the C API typedef for tri-state.

			t.Fatalf("err reading function %d: %v", i, err)
		}
		res := cmpFuncDesc(cases[i], fn)
		if res != "" {
			t.Errorf("ReadFunc(%d): %s", i, res)
		}
	}
}

func createFuncs(i int) []coverage.FuncDesc {
	res := []coverage.FuncDesc{}
	lc := uint32(1)
	for fi := 0; fi < i+1; fi++ {
		units := []coverage.CoverableUnit{}
		for ui := 0; ui < (fi+1)*(i+1); ui++ {
			units = append(units,

  std::function<std::unique_ptr<ProfilerInterface>(const ProfileOptions&)>
      create_func = [factory = std::move(factory)](
                        const ProfileOptions& options) mutable {
        return factory.CreatePluggableProfiler(options);
      };

  tensorflow::profiler::RegisterProfilerFactory(std::move(create_func));
  return OkStatus();
}

}  // namespace profiler

    void (*delete_func)(void*), TF_Status* status);

// If the ResourceMgr provided by the `ctx` has a resource
// `plugin_resource_name`, returns it in `*result_plugin_resource`. Otherwise,
// invokes create_func to create the resource. `delete_func` is needed for
// ResourceMgr to clean up the resource. `status` will be set. If `status` is
// not OK, `*result_plugin_resource` will be set as nullptr.
//