/**
 * A connection to a remote web server capable of carrying 1 or more concurrent streams.
 *
 * Connections are shared in a connection pool. Accesses to the connection's state must be guarded
 * by holding a lock on the connection.
 */
class RealConnection internal constructor(
  val taskRunner: TaskRunner,
  val connectionPool: RealConnectionPool,
  override val route: Route,
  /** The low-level TCP socket. */

		lkctx, err := lk.GetLock(ctx, globalOperationTimeout)
		if err != nil {
			return result, err
		}
		ctx = lkctx.Context()
		defer lk.Unlock(lkctx)
	}

	// Re-read when we have lock...
	partsMetadata, errs := readAllFileInfo(ctx, storageDisks, "", bucket, object, versionID, true, true)
	if isAllNotFound(errs) {
		err := errFileNotFound
		if versionID != "" {
			err = errFileVersionNotFound
		}

	}
}

// LockAndSetBuckets - locks the buckets and sets the given buckets. It returns
// a function to unlock the buckets.
func (mg *MetricsGroup) LockAndSetBuckets(buckets []string) func() {
	mg.bucketsLock.Lock()
	mg.buckets = buckets
	return func() {
		mg.bucketsLock.Unlock()
	}
}

// MetricFQN - returns the fully qualified name for the given metric name.

				if _, ok := err.(BucketExists); !ok {
					t.Logf("unexpected error: %T: %v", err, err)
					return
				}
				mu.Lock()
				errs++
				mu.Unlock()
				return
			}
			mu.Lock()
			ok++
			mu.Unlock()
		}()
	}
	close(start)
	wg.Wait()
	if ok != 1 {
		t.Fatalf("want 1 ok, got %d", ok)
	}
	if errs != n-1 {

	}

	setDisks := func(newDisks ...StorageAPI) {
		objLayer.(*erasureServerPools).serverPools[0].erasureDisksMu.Lock()
		copy(disks, newDisks)
		objLayer.(*erasureServerPools).serverPools[0].erasureDisksMu.Unlock()
	}
	getDisk := func(n int) StorageAPI {
		objLayer.(*erasureServerPools).serverPools[0].erasureDisksMu.Lock()
		disk := disks[n]
		objLayer.(*erasureServerPools).serverPools[0].erasureDisksMu.Unlock()
		return disk
	}

  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()) {
      lib_handle->lib_handle = it->second;
    } else {
      status->status =

			newAcc := &AccElem{}
			old := e.cached.Swap(newAcc)
			var a AccElem
			a.Size = atomic.LoadInt64(&old.Size)
			a.Total = atomic.LoadInt64(&old.Total)
			a.N = atomic.LoadInt64(&old.N)
			e.mu.Lock()
			e.addAll(t-1, a)
			e.mu.Unlock()
			acc = newAcc
		} else {
			// We may be able to grab the new accumulator by yielding.
			runtime.Gosched()
			acc = e.cached.Load()
		}
	}

2. `/tmp`를 현재의 워킹 디렉터리로 설정합니다.

    이 위치에 우리는 `requirements.txt` 파일을 생성할 것입니다.

3. 이 도커 스테이지에서 Poetry를 설치합니다.

4. 파일 `pyproject.toml`와 `poetry.lock`를 `/tmp` 디렉터리로 복사합니다.

    `./poetry.lock*` (`*`로 끝나는) 파일을 사용하기 때문에, 파일이 아직 사용가능하지 않더라도 고장나지 않을 것입니다.

5. `requirements.txt` 파일을 생성합니다.

6. 이것이 마지막 스테이지로, 여기에 위치한 모든 것이 마지막 컨테이너 이미지에 포함될 것입니다.

7. 현재의 워킹 디렉터리를 `/code`로 설정합니다.

         */
        public int hunds;
        /**
         * The time zone offset from UTC in minutes.
         */
        public int timezone;
        /**
         * The time interval for each tick of the clock in 0.0001 seconds.
         */
        public int tinterval;
        /**
         * The current day of the month (1-31).
         */
        public int day;
        /**
         * The current month (1-12).

	plkctx, err := partIDLock.GetLock(ctx, globalOperationTimeout)
	if err != nil {
		return PartInfo{}, err
	}

	ctx = plkctx.Context()
	defer partIDLock.Unlock(plkctx)

	// Read lock for upload id, only held while reading the upload metadata.
	uploadIDRLock := er.NewNSLock(bucket, pathJoin(object, uploadID))
	rlkctx, err := uploadIDRLock.GetRLock(ctx, globalOperationTimeout)
	if err != nil {