code: def experiments_predictions_attachments_download(self, experiment_id, run_id, resource_id):
          
          # Get experiment to ensure that it exists
          if self.experiments_get(experiment_id) is None:
              return None
          attachment, mime_type = self.predictions.get_data_file_attachment(
              run_id,
              resource_id
          )
          if attachment is None:
              return  None
          # Return information about the result file
          return FileInfo(attachment, mime_type, os.path.basename(attachment))
docs: Download a data file that has been attached with a successful model
          run.
  
          Parameters
          ----------
          experiment_id : string
              Unique experiment identifier
          model_id : string
              Unique identifier of model to run
          resource_id : string
              Unique attachment identifier
  
          Returns
          -------
          FileInfo
              Information about attachmed file on disk or None if attachment with
              given resource identifier exists