code: def test_should_use_parallel_load(self):
      # Create images.
      large_scale_image_files_path = create_large_scale_image_dataset(
          mp.cpu_count() * 10
      )
  
      load_query = f"LOAD IMAGE '{large_scale_image_files_path}/**/*.jpg' INTO MyLargeScaleImages;"
      execute_query_fetch_all(self.evadb, load_query)
  
      drop_query = "DROP TABLE IF EXISTS MyLargeScaleImages;"
      execute_query_fetch_all(self.evadb, drop_query)
  
      # Clean up large scale image directory.
      shutil.rmtree(large_scale_image_files_path)
  
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 21 for calling the LoadExecutorTests obj's underlying member method code with example usage: obj.test_should_use_parallel_load() without return types