parameters: (self, worker_addr: str)
return_statement: return {
              "feature_names": self.feature_names,
              "feature_types": self.feature_types,
              "feature_weights": self.feature_weights,
              "missing": self.missing,
              "enable_categorical": self.enable_categorical,
              "parts": self.worker_map.get(worker_addr, None),
              "is_quantile": self.is_quantile,
          }
docstring: Create a dictionary of objects that can be pickled for function
          arguments.
docstring_summary: Create a dictionary of objects that can be pickled for function
          arguments.
docstring_tokens: Create a dictionary of objects that can be pickled for function arguments .
function: def _create_fn_args(self, worker_addr: str) -> Dict[str, Any]:
          """Create a dictionary of objects that can be pickled for function
          arguments.
  
          """
          return {
              "feature_names": self.feature_names,
              "feature_types": self.feature_types,
              "feature_weights": self.feature_weights,
              "missing": self.missing,
              "enable_categorical": self.enable_categorical,
              "parts": self.worker_map.get(worker_addr, None),
              "is_quantile": self.is_quantile,
          }
function_tokens: def _create_fn_args ( self , worker_addr : str ) -> Dict [ str , Any ] : return { "feature_names" : self . feature_names , "feature_types" : self . feature_types , "feature_weights" : self . feature_weights , "missing" : self . missing , "enable_categorical" : self . enable_categorical , "parts" : self . worker_map . get ( worker_addr , None ) , "is_quantile" : self . is_quantile , }