code: def log_params(params):
      """Print all the command line arguments for debugging purposes.
  
      Parameters:
      -----------
      params: argparse object
          Argument Parser structure listing all the pre-defined parameters
      """
      print("Input Dir: ", params.input_dir)
      print("Graph Name: ", params.graph_name)
      print("Schema File: ", params.schema)
      print("No. partitions: ", params.num_parts)
      print("Output Dir: ", params.output)
      print("WorldSize: ", params.world_size)
      print("Metis partitions: ", params.partitions_dir)
  
file_path: dgl/tools/distpartitioning/data_proc_pipeline.py
imports: import argparse
  import logging
  import os
  import platform
  import numpy
  import torch.multiprocessing
  from data_shuffle import multi_machine_run, single_machine_run
label_desc: Use image node_id 1 for calling a global function with example usage: log_params(params) without return types