code: def test_streaming_dataset(tmpdir, monkeypatch):
      seed_everything(42)
  
      dataset = StreamingDataset(input_dir=str(tmpdir))
      with pytest.raises(ValueError, match="The provided dataset"):
          iter(dataset)
      dataset = StreamingDataset(input_dir=str(tmpdir))
      with pytest.raises(ValueError, match="The provided dataset"):
          _ = dataset[0]
  
      cache = Cache(str(tmpdir), chunk_size=10)
      for i in range(12):
          cache[i] = i
      cache.done()
      cache.merge()
  
      dataset = StreamingDataset(input_dir=str(tmpdir))
  
      assert len(dataset) == 12
      dataset_iter = iter(dataset)
      assert len(dataset_iter) == 12
  
      dataloader = DataLoader(dataset, num_workers=2, batch_size=1)
      assert len(dataloader) == 12
      dataloader = DataLoader(dataset, num_workers=2, batch_size=2)
      assert len(dataloader) == 6
  
imports: import os
  import sys
  from time import sleep
  from unittest import mock
  import numpy
  import pytest
  import torch
  from lightning import seed_everything
  from lightning.data.streaming import Cache, functions
  from lightning.data.streaming.dataloader import StreamingDataLoader
  from lightning.data.streaming.dataset import _INDEX_FILENAME, Dir, RemoteDir, StreamingDataset, _associate_chunks_to_workers, _replay_chunks_sampling, _replay_sampling, _should_replace_path, _try_create_cache_dir
  from lightning.data.streaming.item_loader import TokensLoader
  from lightning.data.streaming.shuffle import FullShuffle, NoShuffle
  from lightning.data.utilities.env import Environment, _DistributedEnv, _WorkerEnv
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 for calling a global function with example usage: test_streaming_dataset(tmpdir, monkeypatch) without return types