code: def arg_parse():
      """Parsing arguments"""
      parser = argparse.ArgumentParser(
          description="Machine learning pipeline for PAH diagnosis"
      )
      parser.add_argument(
          "--cfg", required=True, help="path to config file", type=str
      )
  
      args = parser.parse_args()
      return args
  
file_path: pykale/examples/cmri_mpca/main.py
imports: import argparse
  import os
  import numpy
  import pandas
  from config import get_cfg_defaults
  from sklearn.model_selection import cross_validate
  from kale.interpret import model_weights, visualize
  from kale.loaddata.image_access import dicom2arraylist, read_dicom_dir
  from kale.pipeline.mpca_trainer import MPCATrainer
  from kale.prepdata.image_transform import mask_img_stack, normalize_img_stack, reg_img_stack, rescale_img_stack
  from kale.utils.download import download_file_by_url
label_desc: Use image node_id 1 for calling a global function with example usage: arg_parse() and returns: args