code: def __getitem__(self, cuts: lhotse.CutSet) -> Dict[str, torch.Tensor]:
      audio, audio_lens = lhotse.dataset.collation.collate_audio(cuts)
      return {
          "audio": audio,
          "audio_lens": audio_lens,
          "ids": [c.id for c in cuts],
      }
  
imports: from io import BytesIO
  from itertools import islice
  from pathlib import Path
  from typing import Dict, List, Tuple
  import pytest
  import torch
  from omegaconf import OmegaConf
  from nemo.collections.common.data.lhotse import get_lhotse_dataloader_from_config
label_desc: Use image node_id 1 for calling the UnsupervisedAudioDataset obj's underlying member method code with example usage: obj.__getitem__(cuts) and returns: dict