code: def _project_dict(self, **kwargs: Dict[str, Any]) -> Dict[str, Hist]:
          
          # Setup function arguments with values which don't change per loop.
          get_hist_args = copy.deepcopy(kwargs)
          projection_name_args = copy.deepcopy(kwargs)
          for key, input_observable in self.observable_to_project_from.items():
              output_hist, projection_name, projection_name_args, = self._project_observable(
                  input_key = key,
                  input_observable = input_observable,
                  get_hist_args = get_hist_args,
                  projection_name_args = projection_name_args,
                  **kwargs,
              )
  
              # Store the output observable
              output_hist_args = projection_name_args
              output_hist_args.update({  # type: ignore
                  "output_hist": output_hist,
                  "projection_name": projection_name
              })
              output_key_name = self.output_key_name(**output_hist_args)  # type: ignore
              self.output_observable[output_key_name] = self.output_hist(**output_hist_args)  # type: ignore
  
          return self.output_observable
docs: Driver function for projecting and storing a dictionary of observables.
  
          Args:
              kwargs (dict): Additional named args to be passed to projection_name(...) and output_key_name(...)
          Returns:
              The projected histograms. The projected histograms are also stored in ``output_observable``.