code: def add_test_core_model_param(
      parser: argparse.ArgumentParser,
  ) -> None:
      default_path = get_latest_model(DEFAULT_MODELS_PATH)
      parser.add_argument(
          "-m",
          "--model",
          nargs="+",
          default=[default_path],
          help="Path to a pre-trained model. If it is a 'tar.gz' file that model file "
          "will be used. If it is a directory, the latest model in that directory "
          "will be used (exception: '--evaluate-model-directory' flag is set). "
          "If multiple 'tar.gz' files are provided, all those models will be compared.",
      )
  
file_path: rasa/rasa/cli/arguments/test.py
imports: import argparse
  from typing import Union
  from rasa.shared.constants import DEFAULT_MODELS_PATH, DEFAULT_RESULTS_PATH
  from rasa.cli.arguments.default_arguments import add_stories_param, add_model_param, add_nlu_data_param, add_endpoint_param, add_out_param
  from rasa.model import get_latest_model
  from rasa.shared.constants import DEFAULT_DOMAIN_PATH
label_desc: Use image node_id 6 for calling a global function with example usage: add_test_core_model_param(parser) without return types