}

int TF_GraphNumFunctions(TF_Graph* g) {
  tensorflow::mutex_lock l(g->mu);
  return g->graph.flib_def().num_functions();
}

int TF_GraphGetFunctions(TF_Graph* g, TF_Function** funcs, int max_func,
                         TF_Status* status) {
  tensorflow::FunctionDefLibrary lib;
  {
    tensorflow::mutex_lock l(g->mu);
    lib = g->graph.flib_def().ToProto();
  }

			t.Fatalf("unlock of unlocked RWMutex did not panic")
		}
	}()
	mu := NewDRWMutex(ds, "test")
	mu.Unlock(t.Context())
}

// Borrowed from rwmutex_test.go
func TestUnlockPanic2(t *testing.T) {
	mu := NewDRWMutex(ds, "test-unlock-panic-2")
	defer func() {
		if recover() == nil {
			t.Fatalf("unlock of unlocked RWMutex did not panic")
		}
		mu.RUnlock(t.Context()) // Unlock, so -test.count > 1 works
	}()

};

struct TF_Graph {
  TF_Graph();

  mutable tensorflow::mutex mu;
  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<std::string, tensorflow::Node*> name_map TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each

void TF_DeleteGraph(TF_Graph* g) {
  if (g == nullptr) return;
  g->mu.lock();
  g->delete_requested = true;
  const bool del = g->sessions.empty();
  g->mu.unlock();
  if (del) delete g;
}

TF_Operation* TF_GraphOperationByName(TF_Graph* graph, const char* oper_name) {
  mutex_lock l(graph->mu);
  auto iter = graph->name_map.find(oper_name);
  if (iter == graph->name_map.end()) {

			t.Fatalf("unlock of unlocked RWMutex did not panic")
		}
	}()
	mu := NewLRWMutex()
	mu.Unlock()
}

// Borrowed from rwmutex_test.go
func TestUnlockPanic2(t *testing.T) {
	defer func() {
		if recover() == nil {
			t.Fatalf("unlock of unlocked RWMutex did not panic")
		}
	}()
	mu := NewLRWMutex()
	mu.RLock()
	mu.Unlock()
}

// Borrowed from rwmutex_test.go

}

type pooledFlateWriter struct {
	mu sync.Mutex // guards Close and Write
	fw *flate.Writer
}

func (w *pooledFlateWriter) Write(p []byte) (n int, err error) {
	w.mu.Lock()
	defer w.mu.Unlock()
	if w.fw == nil {
		return 0, errors.New("Write after Close")
	}
	return w.fw.Write(p)
}

func (w *pooledFlateWriter) Close() error {
	w.mu.Lock()
	defer w.mu.Unlock()
	var err error
	if w.fw != nil {

	"github.com/minio/minio/internal/pubsub"
)

const bootstrapTraceLimit = 4 << 10

type bootstrapTracer struct {
	mu   sync.RWMutex
	info []madmin.TraceInfo
}

var globalBootstrapTracer = &bootstrapTracer{}

func (bs *bootstrapTracer) Record(info madmin.TraceInfo) {
	bs.mu.Lock()
	defer bs.mu.Unlock()

	if len(bs.info) > bootstrapTraceLimit {
		return
	}
	bs.info = append(bs.info, info)
}

  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;
  static tensorflow::mutex mu(tensorflow::LINKER_INITIALIZED);
  static std::unordered_map<std::string, void*>* loaded_libs =
      new std::unordered_map<std::string, void*>();
  tensorflow::Env* env = tensorflow::Env::Default();
  {
    tensorflow::mutex_lock lock(mu);
    auto it = loaded_libs->find(library_filename);
    if (it != loaded_libs->end()) {

				//   unformatted or simply not accessible for some reason.
				//
				// - Do not consume disks which are being healed
				//
				// - Future: skip busy disks
				return
			}

			mu.Lock()
			newDisks = append(newDisks, disks[i])
			mu.Unlock()
		}()
	}
	wg.Wait()
	return newDisks
}

func (er erasureObjects) getOnlineLocalDisks() (newDisks []StorageAPI) {
	disks := er.getOnlineDisks()

	h.Bucket = ""
}

func (h *healingTracker) getLastUpdate() time.Time {
	h.mu.RLock()
	defer h.mu.RUnlock()

	return h.LastUpdate
}

func (h *healingTracker) getBucket() string {
	h.mu.RLock()
	defer h.mu.RUnlock()

	return h.Bucket
}

func (h *healingTracker) setBucket(bucket string) {
	h.mu.Lock()
	defer h.mu.Unlock()

	h.Bucket = bucket
}