class_docstr: Apply a constant amount of gain, so that highest signal level present in the sound becomes
  0 dBFS, i.e. the loudest level allowed if all samples must be between -1 and 1. Also known
  as peak normalization.
code: def __init__(self, apply_to: str = "all", p: float = 0.5):
      super().__init__(p)
      assert apply_to in ("all", "only_too_loud_sounds")
      self.apply_to = apply_to
  
file_path: audiomentations/audiomentations/augmentations/normalize.py
imports: import numpy
  from numpy.typing import NDArray
  from audiomentations.core.transforms_interface import BaseWaveformTransform
  from audiomentations.core.utils import get_max_abs_amplitude
label_desc: Use image node_id 1 to create a new Normalize object from inherited base classes: BaseWaveformTransform with example: obj = Normalize(apply_to, p)