code: def get_parser():
      parser = argparse.ArgumentParser(
          description="UASR Decoding",
          formatter_class=argparse.ArgumentDefaultsHelpFormatter,
      )
  
      parser.add_argument(
          "--data_path_and_name_and_type",
          type=str2triple_str,
          required=True,
          action="append",
      )
      parser.add_argument(
          "--uasr_train_config",
          type=str,
          help="uasr training configuration",
      )
      parser.add_argument(
          "--uasr_model_file",
          type=str,
          help="uasr model parameter file",
      )
      parser.add_argument(
          "--key_file",
          type=str_or_none,
          help="key file",
      )
      parser.add_argument(
          "--allow_variable_data_keys",
          type=str2bool,
          default=False,
      )
      parser.add_argument(
          "--ngpu",
          type=int,
          default=0,
          help="The number of gpus. 0 indicates CPU mode",
      )
      parser.add_argument(
          "--num_workers",
          type=int,
          default=1,
          help="The number of workers used for DataLoader",
      )
      parser.add_argument(
          "--batch_size",
          type=int,
          default=1,
          help="The batch size for feature extraction",
      )
      parser.add_argument(
          "--dtype",
          default="float32",
          choices=["float16", "float32", "float64"],
          help="Data type",
      )
      parser.add_argument(
          "--dset",
          type=str,
          help="dataset",
      )
      parser.add_argument(
          "--output_dir",
          type=str,
          help="Output directory",
      )
      parser.add_argument(
          "--log_level",
          type=lambda x: x.upper(),
          default="INFO",
          choices=("ERROR", "WARNING", "INFO", "DEBUG", "NOTSET"),
          help="The verbose level of logging",
      )
  
      return parser
  
file_path: espnet/espnet2/bin/uasr_extract_feature.py
imports: import argparse
  import logging
  import sys
  from pathlib import Path
  from typing import Optional, Sequence, Tuple, Union
  from torch.nn.parallel import data_parallel
  from typeguard import check_argument_types
  from espnet2.fileio.npy_scp import NpyScpWriter
  from espnet2.tasks.uasr import UASRTask
  from espnet2.torch_utils.device_funcs import to_device
  from espnet2.torch_utils.forward_adaptor import ForwardAdaptor
  from espnet2.utils.types import str2bool, str2triple_str, str_or_none
  from espnet.utils.cli_utils import get_commandline_args
label_desc: Use image node_id 1 for calling a global function with example usage: get_parser() and returns: parser