code: def test_meta_dataloader():
      dataset = Sinusoid(10, num_tasks=1000, noise_std=None)
      meta_dataloader = MetaDataLoader(dataset, batch_size=4)
      assert isinstance(meta_dataloader, DataLoader)
      assert len(meta_dataloader) == 250  # 1000 / 4
  
      batch = next(iter(meta_dataloader))
      assert isinstance(batch, list)
      assert len(batch) == 4
  
      task = batch[0]
      assert isinstance(task, Task)
      assert len(task) == 10
  
file_path: pytorch-meta/torchmeta/tests/utils/test_dataloaders.py
imports: import pytest
  import os
  import torch
  from torch.utils.data import DataLoader
  from torchmeta.datasets import helpers
  from torchmeta.toy import Sinusoid
  from torchmeta.transforms import ClassSplitter
  from torchmeta.utils.data import Task, MetaDataLoader, BatchMetaDataLoader
label_desc: Use image node_id 1 for calling a global function with example usage: test_meta_dataloader() without return types