code: def test_get_batch_shape_and_diversity(self):
      patch_size = 3
      with patch("os.listdir", side_effect=self.fake_folders):
          with patch(
              "ISR.utils.datahandler.DataHandler._check_dataset",
              return_value=True,
          ):
              DH = DataHandler(
                  lr_dir={"res": "lr", "matching": True},
                  hr_dir={"res": "hr", "matching": True},
                  patch_size=patch_size,
                  scale=2,
                  n_validation_samples=None,
              )
  
      with patch("imageio.imread", side_effect=self.image_getter):
          with patch("os.path.join", side_effect=self.path_giver):
              batch = DH.get_batch(batch_size=5)
  
      self.assertTrue(type(batch) is dict)
      self.assertTrue(
          batch["hr"].shape == (5, patch_size * 2, patch_size * 2, 3)
      )
      self.assertTrue(
          batch["lr"].shape == (5, patch_size, patch_size, 3)
      )
  
      self.assertTrue(
          np.any(
              [
                  batch["lr"][0] != batch["lr"][1],
                  batch["lr"][1] != batch["lr"][2],
                  batch["lr"][2] != batch["lr"][3],
                  batch["lr"][3] != batch["lr"][4],
              ]
          )
      )
  
imports: import unittest
  import numpy
  from unittest.mock import patch
  from ISR.utils.datahandler import DataHandler
label_desc: Use image node_id 15 for calling the DataHandlerTest obj's underlying member method code with example usage: obj.test_get_batch_shape_and_diversity() without return types