code: def test_dataloader_from_nemo_manifest(nemo_manifest_path: Path):
      config = OmegaConf.create(
          {
              "manifest_filepath": nemo_manifest_path,
              "sample_rate": 16000,
              "shuffle": True,
              "use_lhotse": True,
              "num_workers": 0,
              # lhotse specific
              "use_bucketing": True,
              "num_buckets": 2,
              "drop_last": False,
              "batch_duration": 4.0,  # seconds
              "quadratic_duration": 15.0,  # seconds
              "shuffle_buffer_size": 10,
              "buffer_size": 100,
              "seed": 0,
          }
      )
  
      dl = get_lhotse_dataloader_from_config(
          config=config,
          global_rank=0,
          world_size=1,
          dataset=UnsupervisedAudioDataset(),
      )
  
      batches = [batch for batch in dl]
      assert len(batches) == 4
  
      b = batches[0]
      assert set(b.keys()) == {"audio", "audio_lens", "ids"}
      assert b["audio"].shape[0] == b["audio_lens"].shape[0] == 3
  
      b = batches[1]
      assert set(b.keys()) == {"audio", "audio_lens", "ids"}
      assert b["audio"].shape[0] == b["audio_lens"].shape[0] == 3
  
      b = batches[2]
      assert set(b.keys()) == {"audio", "audio_lens", "ids"}
      assert b["audio"].shape[0] == b["audio_lens"].shape[0] == 3
  
      b = batches[3]
      assert set(b.keys()) == {"audio", "audio_lens", "ids"}
      assert b["audio"].shape[0] == b["audio_lens"].shape[0] == 1
  
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 9 for calling a global function with example usage: test_dataloader_from_nemo_manifest(nemo_manifest_path) without return types