          else:
              self._ewma_vectorized_safe()  # Use the safe version
          return self._out
  
      def _get_max_row_size(self):
          """ Calculate the maximum row size for the running platform for the given dtype.
  
          Returns
          -------
          int
 
</s> remove         timestamps:
            The time stamp summary data for the given session id
 </s> add  </s> remove     def get_loss_keys(self, session_id):
 </s> add     def get_loss_keys(self, session_id: Optional[int]) -> List[str]: </s> remove     def __call__(self):
 </s> add     def __call__(self) -> np.ndarray: </s> remove     def get_loss(self, session_id):
 </s> add     def get_loss(self, session_id: Optional[int]) -> dict: </s> remove     def get_timestamps(self, session_id):
 </s> add     def get_timestamps(self, session_id: Optional[int]) -> Union[dict, np.ndarray]:
    def _get_max_row_size(self) -> int:
          else:
              self._ewma_vectorized_safe()  # Use the safe version
          return self._out
  
    def _get_max_row_size(self) -> int:
          """ Calculate the maximum row size for the running platform for the given dtype.
  
          Returns
          -------
          int
keep keep keep keep replace keep keep keep keep keep
 Bugfixes:
  - Stats graph - Handle NaNs in data
  - logger - de-elevate matplotlib font messages 
lib/gui/analysis/stats.py