code: def test_visiondataset():
      url = "https://github.com/mindee/doctr/releases/download/v0.6.0/mnist.zip"
      with pytest.raises(ValueError):
          datasets.datasets.VisionDataset(url, download=False)
  
      dataset = datasets.datasets.VisionDataset(
          url, download=True, extract_archive=True
      )
      assert len(dataset) == 0
      assert repr(dataset) == "VisionDataset()"
  
imports: import os
  from shutil import move
  import numpy
  import pytest
  import torch
  from torch.utils.data import DataLoader, RandomSampler
  from doctr import datasets
  from doctr.file_utils import CLASS_NAME
  from doctr.transforms import Resize
label_desc: Use image node_id 3 for calling a global function with example usage: test_visiondataset() without return types