class_docstr: This class implements ambient noise augmentation for audio.
code: def add_arguments(
      cls, parser: argparse.ArgumentParser
  ) -> argparse.ArgumentParser:
      group = parser.add_argument_group(title=cls.__name__)
  
      group.add_argument(
          "--audio-augmentation.noise.enable",
          action="store_true",
          help="Use {}. This flag is useful when you want to study the effect of"
          " different transforms.".format(cls.__name__),
      )
      group.add_argument(
          "--audio-augmentation.noise.levels",
          type=float,
          default=[-100],
          nargs="+",
          help="Gain levels to use for noise augmentation (in dB).",
      )
      group.add_argument(
          "--audio-augmentation.noise.cache-size",
          type=int,
          default=10,
          help="Number of augmentation noises to cache.",
      )
      group.add_argument(
          "--audio-augmentation.noise.files-dir",
          type=str,
          default=None,
          help="Directory of noise files.",
      )
      group.add_argument(
          "--audio-augmentation.noise.refresh-freq",
          type=int,
          default=0,
          help="Frequency to refresh noise files (default 0 means never refresh).",
      )
      return parser
  
imports: import argparse
  import math
  import pathlib
  import random
  from typing import Callable, Dict, List, Optional, Union
  import torch
  import torchaudio
  from data.transforms import TRANSFORMATIONS_REGISTRY, BaseTransformation
  from data.transforms.audio_aux import mfccs
label_desc: Use image node_id 3 for calling the Noise obj's underlying member method code with example usage: obj.add_arguments(cls, parser) and returns: parser