class_docstr: Adds an audio backdoor trigger to a set of audio examples. Works for a single example or a batch of examples.
docstr: Initialize a CacheTrigger instance.
  
  :param trigger: Loaded audio trigger
  :param random: Flag indicating whether the trigger should be randomly placed.
  :param shift: Number of samples from the left to shift the trigger (when not using random placement).
  :param scale: Scaling factor for mixing the trigger.
code: def __init__(
      self,
      trigger: np.ndarray,
      random: bool = False,
      shift: int = 0,
      scale: float = 0.1,
  ):
      """
      Initialize a CacheTrigger instance.
  
      :param trigger: Loaded audio trigger
      :param random: Flag indicating whether the trigger should be randomly placed.
      :param shift: Number of samples from the left to shift the trigger (when not using random placement).
      :param scale: Scaling factor for mixing the trigger.
      """
      self.trigger = trigger
      self.scaled_trigger = self.trigger * scale
      self.random = random
      self.shift = shift
      self.scale = scale
  
file_path: adversarial-robustness-toolbox/art/attacks/poisoning/perturbations/audio_perturbations.py
imports: from typing import Optional
  import librosa
  import numpy
label_desc: Use image node_id 1 to create a new CacheTrigger object  with example: obj = CacheTrigger(trigger, random, shift, scale)