code: def _parse_args():
      parser = ArgumentParser()
      parser.add_argument(
          "--cluster_mode",
          type=str,
          default="local",
          help="The cluster mode, such as local, yarn, standalone or spark-submit.",
      )
      parser.add_argument(
          "--master",
          type=str,
          default=None,
          help="The master url, only used when cluster mode is standalone.",
      )
      parser.add_argument(
          "--executor_cores",
          type=int,
          default=48,
          help="The executor core number.",
      )
      parser.add_argument(
          "--executor_memory",
          type=str,
          default="160g",
          help="The executor memory.",
      )
      parser.add_argument(
          "--num_executors",
          type=int,
          default=8,
          help="The number of executors.",
      )
      parser.add_argument(
          "--driver_cores",
          type=int,
          default=4,
          help="The driver core number.",
      )
      parser.add_argument(
          "--driver_memory",
          type=str,
          default="36g",
          help="The driver memory.",
      )
      parser.add_argument(
          "--input_transaction",
          type=str,
          required=True,
          help="The path to the user transaction file.",
      )
      parser.add_argument(
          "--input_meta",
          type=str,
          required=True,
          help="The path to the item metadata file.",
      )
      parser.add_argument(
          "--output",
          type=str,
          default="./",
          help="The path to save the preprocessed data.",
      )
  
      args = parser.parse_args()
      return args
  
imports: import time
  from argparse import ArgumentParser
  from bigdl.orca import init_orca_context, stop_orca_context
  from bigdl.friesian.feature import FeatureTable
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 1 for calling a global function with example usage: _parse_args() and returns: args