code: def add_augmentation_param(
      parser: Union[argparse.ArgumentParser, argparse._ActionsContainer]
  ) -> None:
      """Sets the augmentation factor for the Core training.
  
      Args:
          parser: An instance of `ArgumentParser` or `_ActionsContainer`.
      """
      parser.add_argument(
          "--augmentation",
          type=int,
          default=TrainingTrackerProvider.get_default_config()[
              "augmentation_factor"
          ],
          help="How much data augmentation to use during training.",
      )
  
imports: import argparse
  from typing import Union
  from rasa.cli.arguments.default_arguments import add_config_param, add_stories_param, add_nlu_data_param, add_out_param, add_domain_param, add_endpoint_param
  from rasa.graph_components.providers.training_tracker_provider import TrainingTrackerProvider
  from rasa.shared.constants import DEFAULT_CONFIG_PATH, DEFAULT_DATA_PATH
label_desc: Use image node_id 10 for calling a global function with example usage: add_augmentation_param(parser) without return types