code: def load_map_info(self, map_file):
          
          if self.ensemble_name.upper() == "SSEF":
              proj_dict, grid_dict = read_arps_map_file(map_file)
              self.dx = int(grid_dict["dx"])
              mapping_data = make_proj_grids(proj_dict, grid_dict)
              for m, v in mapping_data.items():
                  setattr(self, m, v)
              self.i, self.j = np.indices(self.lon.shape)
              self.proj = get_proj_obj(proj_dict)
          elif self.ensemble_name.upper() in ["NCAR", "NCARSTORM", "HRRR", "VSE", "HREFV2"]:
              proj_dict, grid_dict = read_ncar_map_file(map_file)
              if self.member_name[0:7] == "1km_pbl": # Don't just look at the first 3 characters. You have to differentiate '1km_pbl1' and '1km_on_3km_pbl1'
                  grid_dict["dx"] = 1000
                  grid_dict["dy"] = 1000
                  grid_dict["sw_lon"] = 258.697
                  grid_dict["sw_lat"] = 23.999
                  grid_dict["ne_lon"] = 282.868269206236
                  grid_dict["ne_lat"] = 36.4822338520542 
  
              self.dx = int(grid_dict["dx"])
              mapping_data = make_proj_grids(proj_dict, grid_dict)
              for m, v in mapping_data.items():
                  setattr(self, m, v)
              self.i, self.j = np.indices(self.lon.shape)
              self.proj = get_proj_obj(proj_dict)
docs: Load map projection information and create latitude, longitude, x, y, i, and j grids for the projection.
  
          Args:
              map_file: File specifying the projection information.