code: def update_fit_boxes(self, new_fit=False):
          
          # update the fit box
          self.update_fit_box(new_fit)
          # select new fit
          self.on_select_fit(None)
          # update the high level fits box
          self.update_mean_fit_box()
docs: alters fit_box and mean_fit_box lists to match with changes in
          specimen or new/removed interpretations
  
          Parameters
          ----------
          new_fit : boolean representing if there is a new fit
  
          Alters
          ------
          fit_box selection, tmin_box selection, tmax_box selection,
          mean_fit_box selection, current_fit