code: def apply_effect(waveform, sample_rate, effect):
      effector = torchaudio.io.AudioEffector(effect=effect)
      return effector.apply(waveform, sample_rate)
  
file_path: audio/examples/tutorials/audio_data_augmentation_tutorial.py
imports: import torch
  import torchaudio
  import torchaudio.functional
  import matplotlib.pyplot
  from IPython.display import Audio
  from torchaudio.utils import download_asset
label_desc: Use image node_id 1 for calling a global function with example usage: apply_effect(waveform, sample_rate, effect) and returns: effector