code: def _phoneme_worker(args):
      item = args[0]
      func_args = args[1]
      text, wav_file, *_ = item
      phonemes = MyDataset._load_or_generate_phoneme_sequence(
          wav_file, text, *func_args
      )
      return phonemes
  
imports: import collections
  import os
  import random
  from multiprocessing import Manager, Pool
  import numpy
  import torch
  import tqdm
  from torch.utils.data import Dataset
  from TTS.tts.utils.data import prepare_data, prepare_stop_target, prepare_tensor
  from TTS.tts.utils.text import pad_with_eos_bos, phoneme_to_sequence, text_to_sequence
label_desc: Use image node_id 7 for calling the MyDataset obj's underlying member method code with example usage: obj._phoneme_worker(args) and returns: phonemes