code: def test_should_rollback_or_pass_and_preserve_previous_state_for_load_images(
      self,
  ):
      valid_images = glob.glob(
          str(self.image_files_path.expanduser()), recursive=True
      )
      # Load one correct file
      # commit
      execute_query_fetch_all(
          self.evadb,
          f"""LOAD IMAGE "{valid_images[0]}" INTO MyImages;""",
      )
  
      tempfile_name = os.urandom(24).hex()
      tempfile_path = os.path.join(tempfile.gettempdir(), tempfile_name)
      with open(tempfile_path, "wb") as empty_file:
          # Load one empty file
          # original file should remain
          with tempfile.TemporaryDirectory() as tmp_dir:
              shutil.copy2(str(empty_file.name), tmp_dir)
              path = Path(tmp_dir) / "*"
              query = f"""LOAD IMAGE "{path}" INTO MyImages;"""
              with self.assertRaises(Exception):
                  execute_query_fetch_all(
                      self.evadb, query, do_not_print_exceptions=True
                  )
              result = execute_query_fetch_all(
                  self.evadb, "SELECT name FROM MyImages"
              )
              self.assertEqual(len(result), 1)
              expected = Batch(
                  pd.DataFrame([{"myimages.name": valid_images[0]}])
              )
              self.assertEqual(expected, result)
  
          # Load one empty and one correct file
          # original file should remaina and correct file should get added
          with tempfile.TemporaryDirectory() as tmp_dir:
              shutil.copy2(str(valid_images[1]), tmp_dir)
              shutil.copy2(str(empty_file.name), tmp_dir)
              path = Path(tmp_dir) / "*"
              query = f"""LOAD IMAGE "{path}" INTO MyImages;"""
              result = execute_query_fetch_all(self.evadb, query)
              expected = Batch(
                  pd.DataFrame(
                      [
                          f"Number of loaded {FileFormatType.IMAGE.name}: 1"
                      ]
                  )
              )
              self.assertEqual(result, expected)
  
              result = execute_query_fetch_all(
                  self.evadb, "SELECT name FROM MyImages"
              )
              self.assertEqual(len(result), 2)
              expected = Batch(
                  pd.DataFrame(
                      [
                          {"myimages.name": valid_images[0]},
                          {
                              "myimages.name": os.path.join(
                                  tmp_dir,
                                  os.path.basename(valid_images[1]),
                              )
                          },
                      ]
                  )
              )
              self.assertEqual(expected, result)
  
imports: import glob
  import multiprocessing
  import os
  import shutil
  import tempfile
  import unittest
  from pathlib import Path
  from test.util import create_dummy_batches, create_dummy_csv_batches, create_large_scale_image_dataset, create_sample_csv, create_sample_video, file_remove, get_evadb_for_testing, shutdown_ray
  import numpy
  import pandas
  import pytest
  from evadb.binder.binder_utils import BinderError
  from evadb.configuration.constants import EvaDB_ROOT_DIR
  from evadb.executor.executor_utils import ExecutorError
  from evadb.models.storage.batch import Batch
  from evadb.parser.types import FileFormatType
  from evadb.server.command_handler import execute_query_fetch_all
label_desc: Use image node_id 19 for calling the LoadExecutorTests obj's underlying member method code with example usage: obj.test_should_rollback_or_pass_and_preserve_previous_state_for_load_images() without return types