code: def test_dataset_valid_state(tmpdir):
      seed_everything(42)
  
      data_dir = os.path.join(tmpdir, "data")
      cache_dir = os.path.join(tmpdir, "cache_dir")
  
      os.makedirs(data_dir)
      os.makedirs(cache_dir)
  
      block_size = 20
      cache = Cache(
          input_dir=str(data_dir),
          chunk_size=40,
          item_loader=TokensLoader(block_size),
      )
  
      counter = 0
      for i in range(100):
          text_ids = torch.arange(counter, counter + 20).to(torch.int)
          cache[i] = text_ids
          counter += 20
  
      cache.done()
      cache.merge()
  
      dataset = EmulateS3StreamingDataset(
          input_dir=RemoteDir(cache_dir, data_dir),
          item_loader=TokensLoader(block_size),
          shuffle=False,
      )
      dataloader = DataLoader(dataset, num_workers=1, batch_size=2)
      dataloader_iter = iter(dataloader)
      next(dataloader_iter)
  
      sleep(1)
  
      state_dict = dataset.state_dict(0, 1, 2)
  
      dataset.load_state_dict(state_dict)
      dataset.worker_env = _WorkerEnv(world_size=1, rank=0)
      dataset.cache = cache
  
      dataset._validate_state_dict()
  
      state_dict["0"]["drop_last"] = True
      dataset.load_state_dict(state_dict)
      with pytest.raises(
          ValueError,
          match="The provided `drop_last` state doesn't match the current one. Found `False` instead of `True`.",  # noqa E501
      ):
          dataset._validate_state_dict()
  
      state_dict["0"]["item_loader"] = {}
      dataset.load_state_dict(state_dict)
      with pytest.raises(
          ValueError,
          match="The provided `item_loader` state doesn't match the current one. Found `{'block_size': 20}` instead of `{}`.",  # noqa E501
      ):
          dataset._validate_state_dict()
  
      state_dict["0"]["seed"] = 12
      dataset.load_state_dict(state_dict)
      with pytest.raises(
          ValueError,
          match="The provided `seed` state doesn't match the current one. Found `42` instead of `12`.",  # noqa E501
      ):
          dataset._validate_state_dict()
  
      state_dict["0"]["input_dir_url"] = "toto"
      dataset.load_state_dict(state_dict)
      with pytest.raises(
          ValueError,
          match=f"The provided `input_dir` URL state doesn't match the current one. Found `{data_dir}` instead of `toto`.",  # noqa E501
      ):
          dataset._validate_state_dict()
  
      state_dict["0"]["input_dir_path"] = "toto"
      dataset.load_state_dict(state_dict)
      with pytest.raises(
          ValueError,
          match=f"The provided `input_dir` path state doesn't match the current one. Found `{cache_dir}` instead of `toto`.",  # noqa E501
      ):
          dataset._validate_state_dict()
  
      state_dict["0"]["num_workers"] = "8"
      dataset.load_state_dict(state_dict)
      with pytest.raises(
          ValueError,
          match=f"The provided `num_workers` state doesn't match the current one. Found `1` instead of `8`.",  # noqa E501
      ):
          dataset._validate_state_dict()
  
      state_dict["0"]["shuffle"] = True
      dataset.load_state_dict(state_dict)
      with pytest.raises(
          ValueError,
          match=f"The provided `shuffle` state doesn't match the current one. Found `False` instead of `True`.",  # noqa E501
      ):
          dataset._validate_state_dict()
  
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 16 for calling a global function with example usage: test_dataset_valid_state(tmpdir) without return types