code: def get_parser_args(self):
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--max_epochs",
          default=3,
          type=int,
          help="Number of AX trials to be run for the optimization experiment",
      )
  
      parser.add_argument(
          "--total_trials",
          default=3,
          type=int,
          help="Number of AX trials to be run for the optimization experiment",
      )
  
      self.parser_args = parser.parse_args()
  
imports: import argparse
  import copy
  import os
  import shutil
  import tempfile
  from pathlib import Path
  import lightning
  import torch
  from ax.service.ax_client import AxClient
  from mnist import LightningMNISTClassifier, MNISTDataModule
  from prettytable import PrettyTable
  from torch.nn.utils import prune
  import mlflow.pytorch
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
label_desc: Use image node_id 10 for calling the IterativePrune obj's underlying member method code with example usage: obj.get_parser_args() without return types