code: def test_abstractdataset(mock_image_path):
      with pytest.raises(ValueError):
          datasets.datasets.AbstractDataset("my/fantasy/folder")
  
      # Check transforms
      path = Path(mock_image_path)
      ds = datasets.datasets.AbstractDataset(path.parent)
      # Check target format
      with pytest.raises(AssertionError):
          ds.data = [(path.name, 0)]
          img, target = ds[0]
      with pytest.raises(AssertionError):
          ds.data = [(path.name, dict(boxes=np.array([[0, 0, 1, 1]])))]
          img, target = ds[0]
      with pytest.raises(AssertionError):
          ds.data = [(ds.data[0][0], {"label": "A"})]
          img, target = ds[0]
  
      # Patch some data
      ds.data = [(path.name, np.array([0]))]
  
      # Fetch the img
      img, target = ds[0]
      assert isinstance(target, np.ndarray) and target == np.array([0])
  
      # Check img_transforms
      ds.img_transforms = lambda x: 1 - x
      img2, target2 = ds[0]
      assert np.all(img2.numpy() == 1 - img.numpy())
      assert target == target2
  
      # Check sample_transforms
      ds.img_transforms = None
      ds.sample_transforms = lambda x, y: (x, y + 1)
      img3, target3 = ds[0]
      assert np.all(img3.numpy() == img.numpy()) and (
          target3 == (target + 1)
      )
  
      # Check inplace modifications
      ds.data = [(ds.data[0][0], "A")]
  
      def inplace_transfo(x, target):
          target += "B"
          return x, target
  
      ds.sample_transforms = inplace_transfo
      _, t = ds[0]
      _, t = ds[0]
      assert t == "AB"
  
imports: from pathlib import Path
  import numpy
  import pytest
  from doctr import datasets
label_desc: Use image node_id 2 for calling a global function with example usage: test_abstractdataset(mock_image_path) and returns: x,  target