pushd "${TFCI_OUTPUT_DIR}"

# Unpack the wheel to get all the file contents. The pure python wheel we built
# above is tagged with "py3-none-any". We cannot change the tags by simply
# renaming the wheels as uploading to PyPI would fail with "File already exists"
# error. In order to upload to PyPI, we unpack the wheel and change the tag

    'full_name': None,
}
```

#### Unpacking a `dict` { #unpacking-a-dict }

If we take a `dict` like `user_dict` and pass it to a function (or class) with `**user_dict`, Python will "unpack" it. It will pass the keys and values of the `user_dict` directly as key-value arguments.

So, continuing with the `user_dict` from above, writing:

```Python
UserInDB(**user_dict)
```

    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### `dict` 언패킹(Unpacking)

`user_dict`와 같은 `dict`를 함수(또는 클래스)에 `**user_dict`로 전달하면, Python은 이를 "언팩(unpack)"합니다. 이 과정에서 `user_dict`의 키와 값을 각각 키-값 인자로 직접 전달합니다.

따라서, 위에서 생성한 `user_dict`를 사용하여 다음과 같이 작성하면:

```Python
UserInDB(**user_dict)
```

다음과 같은 결과를 생성합니다:

```Python
UserInDB(
    username="john",

            "names (",
            n->name(),
            "). This is a bug. Please file an issue at "
            "https://github.com/tensorflow/tensorflow/issues.");
      }
    }
  }

  // Unpack the results from grad_outputs_arg.
  TFOutputsFromOutputs(dy_arg, dy);
#endif  // defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
}

// TF_Session functions ----------------------------------------------

are deprecated in favor of `tf.multiply`, `tf.subtract` and `tf.negative`. *
`tf.pack` and `tf.unpack` are deprecated in favor of `tf.stack` and
`tf.unstack`. * `TensorArray.pack` and `TensorArray.unpack` are getting
deprecated in favor of `TensorArray.stack` and `TensorArray.unstack`. * The
following Python functions have had their arguments changed to use `axis` when

func (c *LRU[K, V]) Contains(key K) (ok bool) {
	c.mu.Lock()
	defer c.mu.Unlock()
	_, ok = c.items[key]
	return ok
}

// Peek returns the key value (or undefined if not found) without updating
// the "recently used"-ness of the key.
func (c *LRU[K, V]) Peek(key K) (value V, ok bool) {
	c.mu.Lock()
	defer c.mu.Unlock()
	var ent *Entry[K, V]
	if ent, ok = c.items[key]; ok {
		// Expired item check

			select {
			// Check after a second
			case <-time.After(time.Second):
				h.mutex.Unlock()
				continue

			case <-h.ctx.Done():
				h.mutex.Unlock()
				// discard result and return.
				return errHealStopSignalled

			// Timeout if no results consumed for too long.
			case <-unconsumedTimer.C:
				h.mutex.Unlock()
				return errHealIdleTimeout
			}
		}
		break
	}

			defer close(lk2ch)
			nsLk.lock(ctx, "volume", "path", "source", "opsID", false, 1*time.Millisecond)
		}()
		time.Sleep(1 * time.Millisecond) // wait for goroutine to advance; ref=2

		// Unlock the 1st lock; ref=1 after this line
		nsLk.unlock("volume", "path", false)

		// Taking another lockMapMutex here allows queuing up additional lockers. This should
		// not be required but makes reproduction much easier.
		nsLk.lockMapMutex.Lock()

						}()
					}
				}
				wg.Wait()
				sm.Unlock()
			}
			sTimer.Reset(siteResyncSaveInterval)
		case <-ctx.Done():
			return
		}
	}
}

// update overall site resync state
func (sm *siteResyncMetrics) updateState(s SiteResyncStatus) error {
	if !globalSiteReplicationSys.isEnabled() {
		return nil
	}
	sm.Lock()
	defer sm.Unlock()
	switch s.Status {
	case ResyncStarted:

	if r == nil {
		return
	}

	r.Lock()
	defer r.Unlock()
	delete(r.Cache, bucket)
}

// UpdateReplicaStat updates in-memory replica statistics with new values.
func (r *ReplicationStats) UpdateReplicaStat(bucket string, n int64) {
	if r == nil {
		return
	}

	r.Lock()
	defer r.Unlock()
	bs, ok := r.Cache[bucket]
	if !ok {
		bs = newBucketReplicationStats()
	}