code: def test_should_apply_parallel_match_sequential(self):
      # Parallel execution
      select_query = """SELECT id, obj.labels
                            FROM MyVideo JOIN LATERAL
                            FastRCNNObjectDetector(data)
                            AS obj(labels, bboxes, scores)
                           WHERE id < 20;"""
      par_batch = execute_query_fetch_all(self.evadb, select_query)
  
      # Sequential execution.
      self.evadb.config.update_value("experimental", "ray", False)
      select_query = """SELECT id, obj.labels
                            FROM MyVideo JOIN LATERAL
                            FastRCNNObjectDetector(data)
                            AS obj(labels, bboxes, scores)
                           WHERE id < 20;"""
      seq_batch = execute_query_fetch_all(self.evadb, select_query)
      # Recover configuration back.
      self.evadb.config.update_value("experimental", "ray", True)
  
      self.assertEqual(len(par_batch), len(seq_batch))
      self.assertEqual(par_batch, seq_batch)
  
imports: import os
  import unittest
  from test.markers import gpu_skip_marker, ocr_skip_marker, ray_skip_marker, windows_skip_marker
  from test.util import create_sample_video, file_remove, get_evadb_for_testing, load_functions_for_testing, shutdown_ray
  import numpy
  import pandas.testing
  import pytest
  from evadb.configuration.constants import EvaDB_ROOT_DIR
  from evadb.executor.executor_utils import ExecutorError
  from evadb.functions.function_bootstrap_queries import Asl_function_query, Mvit_function_query
  from evadb.models.storage.batch import Batch
  from evadb.server.command_handler import execute_query_fetch_all
  from evadb.utils.generic_utils import try_to_import_cv2
label_desc: Use image node_id 6 for calling the PytorchTest obj's underlying member method code with example usage: obj.test_should_apply_parallel_match_sequential() without return types