code: def load_config(self):
      parser = argparse.ArgumentParser(
          "Vector Quantized wav2vec features"
      )
  
      # Model Arguments
      parser.add_argument(
          "--checkpoint", type=ArgTypes.existing_path, required=True
      )
      parser.add_argument("--data-parallel", action="store_true")
  
      # Output Arguments
      parser.add_argument(
          "--output-dir", type=ArgTypes.mkdir, required=True
      )
  
      # Data Arguments
      parser.add_argument(
          "--data-dir", type=ArgTypes.existing_path, required=True
      )
      parser.add_argument(
          "--splits", type=str, nargs="+", required=True
      )
      parser.add_argument("--extension", type=str, required=True)
      parser.add_argument("--labels", type=str, required=False)
  
      parser.add_argument("--shard", type=int, default=None)
      parser.add_argument("--num-shards", type=int, default=None)
      parser.add_argument("--max-size", type=int, default=1300000)
  
      # Logger Arguments
      parser.add_argument(
          "--log-format", type=str, choices=["none", "simple", "tqdm"]
      )
  
      return parser.parse_args()
  
imports: import argparse
  import glob
  import os
  import os.path
  import pprint
  import soundfile
  import torch
  import fairseq
  from torch import nn
  from torch.utils.data import DataLoader
label_desc: Use image node_id 9 for calling the DatasetWriter obj's underlying member method code with example usage: obj.load_config() and returns: parser