return p.ext
}

// Returns current profile data, returns error if there is no active
// profiling in progress. Stops an active profile.
func getProfileData() (map[string][]byte, error) {
	globalProfilerMu.Lock()
	defer globalProfilerMu.Unlock()

	if len(globalProfiler) == 0 {
		return nil, errors.New("profiler not enabled")
	}

	dst := make(map[string][]byte, len(globalProfiler))

	}
}

// 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.

		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
		}

// a goroutine that will attempt to reconnect if HealthCheckFn is set.
// returns true if the node changed state from online to offline
func (c *Client) MarkOffline(err error) bool {
	c.Lock()
	c.lastErr = err
	c.lastErrTime = time.Now()
	atomic.StoreInt64(&c.lastConn, time.Now().UnixNano())
	c.Unlock()

	return c.runHealthCheck()

// Eliminate non-compressible objects by extensions/content-types.
func isCompressible(header http.Header, object string) bool {
	globalCompressConfigMu.Lock()
	cfg := globalCompressConfig
	globalCompressConfigMu.Unlock()

	return !excludeForCompression(header, object, cfg)
}

// Eliminate the non-compressible objects.

			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()
		}
	}

  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 =

* Make addon-manager cross-platform and use it with hyperkube ([#25631](https://github.com/kubernetes/kubernetes/pull/25631), [@luxas](https://github.com/luxas))
* kubelet: Optionally, have kubelet exit if lock file contention is observed, using --exit-on-lock-contention flag ([#25596](https://github.com/kubernetes/kubernetes/pull/25596), [@derekparker](https://github.com/derekparker))

   * value, you should always choose it explicitly.
   *
   * <p>The current implementation uses the concurrency level to create a fixed number of hashtable
   * segments, each governed by its own write lock. The segment lock is taken once for each explicit
   * write, and twice for each cache loading computation (once prior to loading the new value, and
   * once after loading completes). Much internal cache management is performed at the segment

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.