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 the cluster_mode is standalone.",
      )
      parser.add_argument(
          "--cores",
          type=int,
          default=48,
          help="The number of cores to use on each node.",
      )
      parser.add_argument(
          "--memory",
          type=str,
          default="240g",
          help="The amount of memory to allocate on each node.",
      )
      parser.add_argument(
          "--num_nodes",
          type=int,
          default=8,
          help="The number of nodes to use in the cluster.",
      )
      parser.add_argument(
          "--driver_cores",
          type=int,
          default=4,
          help="The number of cores to use for the driver.",
      )
      parser.add_argument(
          "--driver_memory",
          type=str,
          default="36g",
          help="The amount of memory to allocate for the driver.",
      )
      parser.add_argument(
          "--days",
          type=str,
          default="0-23",
          help="The day range for data preprocessing, such as 0-23, 0-1.",
      )
      parser.add_argument(
          "--frequency_limit",
          type=int,
          default=15,
          help="Categories with frequency below this value will be "
          "omitted from encoding.",
      )
      parser.add_argument(
          "--input_folder",
          type=str,
          required=True,
          help="The path to the folder of parquet files, "
          "either a local path or an HDFS path.",
      )
      parser.add_argument(
          "--output_folder",
          type=str,
          help="The path to save the preprocessed data and "
          "the generated string indices to parquet files. "
          "HDFS path is recommended.",
      )
  
      args = parser.parse_args()
      start, end = args.days.split("-")
      args.day_range = list(range(int(start), int(end) + 1))
      args.days = len(args.day_range)
      return args
  
imports: import os
  from time 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