code: def parse_arguments():
      parser = ArgumentParser()
      parser.add_argument(
          "--dataset_path",
          type=str,
          default="/raid/vjawa/ogbn_papers100M",
      )
      parser.add_argument(
          "--replication_factors", type=str, default="2"
      )
      parser.add_argument("--fanouts", type=str, default="10_10_10")
      parser.add_argument(
          "--batch_sizes", type=str, default="512,1024,8192,16384"
      )
      parser.add_argument("--do_not_use_uva", action="store_true")
      return parser.parse_args()
  
file_path: cugraph/benchmarks/cugraph-dgl/scale-benchmarks/dgl_benchmark.py
imports: import json
  import os
  import time
  import dgl
  from dgl.dataloading import MultiLayerNeighborSampler, DataLoader
  import pandas
  import torch
  from model import run_1_epoch
  from argparse import ArgumentParser
  from load_graph_feats import load_edges_from_disk, load_node_labels, load_node_features
label_desc: Use image node_id 5 for calling a global function with example usage: parse_arguments() and returns: parser