          logger.debug("Calculated rate: Item_count: %s", len(retval))
          return retval
  
      @classmethod
      def _calc_rate_total(cls):
          """ Calculate rate per iteration for all sessions.
  
          Returns
          -------
          :class:`numpy.ndarray`
 
</s> remove     def _get_calculations(self):
 </s> add     def _get_calculations(self) -> None: </s> remove     def _calc_rate(self):
 </s> add     def _calc_rate(self) -> np.ndarray: </s> remove         return _ExponentialMovingAverage(data, self._args["smooth_amount"])()
 </s> add         retval = _ExponentialMovingAverage(data, self._args["smooth_amount"])()
        logger.debug("Calculated Smoothed data: shape: %s", retval.shape)
        return retval </s> remove     def _calc_trend(cls, data):
 </s> add     def _calc_trend(cls, data: np.ndarray) -> np.ndarray: </s> remove     def _get_max_row_size(self):
 </s> add     def _get_max_row_size(self) -> int:
    def _calc_rate_total(cls) -> np.ndarray:
          logger.debug("Calculated rate: Item_count: %s", len(retval))
          return retval
  
      @classmethod
    def _calc_rate_total(cls) -> np.ndarray:
          """ Calculate rate per iteration for all sessions.
  
          Returns
          -------
          :class:`numpy.ndarray`
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