code: def get_args():
      parser = argparse.ArgumentParser(
          formatter_class=argparse.ArgumentDefaultsHelpFormatter,
          description="Compute TTS feature statistics.",
      )
      parser.add_argument(
          "--feature_config_path",
          required=True,
          type=Path,
          help="Path to feature config file.",
      )
      parser.add_argument(
          "--manifest_path",
          required=True,
          type=Path,
          action="append",
          help="Path(s) to training manifest.",
      )
      parser.add_argument(
          "--audio_dir",
          required=True,
          type=Path,
          action="append",
          help="Path(s) to base directory with audio data.",
      )
      parser.add_argument(
          "--feature_dir",
          required=True,
          type=Path,
          action="append",
          help="Path(s) to directory where feature data was stored.",
      )
      parser.add_argument(
          "--feature_names",
          default="pitch,energy",
          type=str,
          help="Comma separated list of features to process.",
      )
      parser.add_argument(
          "--mask_field",
          default="voiced_mask",
          type=str,
          help="If provided, stat computation will ignore non-masked frames.",
      )
      parser.add_argument(
          "--stats_path",
          default=Path("feature_stats.json"),
          type=Path,
          help="Path to output JSON file with dataset feature statistics.",
      )
      parser.add_argument(
          "--overwrite",
          action=argparse.BooleanOptionalAction,
          help="Whether to overwrite the output stats file if it exists.",
      )
  
      args = parser.parse_args()
      return args
  
file_path: NeMo/scripts/dataset_processing/tts/compute_feature_stats.py
imports: import argparse
  import json
  from collections import defaultdict
  from pathlib import Path
  from typing import List, Tuple
  import torch
  from hydra.utils import instantiate
  from omegaconf import OmegaConf
  from tqdm import tqdm
  from nemo.collections.asr.parts.utils.manifest_utils import read_manifest
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: args