code: def __getitem__(self, key):
      item = self.dataset[key]
      return self.process_datapoint(item)
  
file_path: audio/examples/pipeline_wavernn/datasets.py
imports: import random
  import torch
  from processing import bits_to_normalized_waveform, normalized_waveform_to_bits
  from torch.utils.data.dataset import random_split
  from torchaudio.datasets import LIBRITTS, LJSPEECH
  from torchaudio.transforms import MuLawEncoding
label_desc: Use image node_id 2 for calling the Processed obj's underlying member method code with example usage: obj.__getitem__(key) and returns: self