code: def test_should_run_pytorch_and_similarity(self):
      create_open_function_query = """CREATE FUNCTION IF NOT EXISTS Open
                  INPUT (img_path TEXT(1000))
                  OUTPUT (data NDARRAY UINT8(3, ANYDIM, ANYDIM))
                  TYPE NdarrayFUNCTION
                  IMPL "evadb/functions/ndarray/open.py";
          """
      execute_query_fetch_all(self.evadb, create_open_function_query)
  
      create_similarity_function_query = """CREATE FUNCTION IF NOT EXISTS Similarity
                      INPUT (Frame_Array_Open NDARRAY UINT8(3, ANYDIM, ANYDIM),
                             Frame_Array_Base NDARRAY UINT8(3, ANYDIM, ANYDIM),
                             Feature_Extractor_Name TEXT(100))
                      OUTPUT (distance FLOAT(32, 7))
                      TYPE NdarrayFUNCTION
                      IMPL "evadb/functions/ndarray/similarity.py";
          """
      execute_query_fetch_all(
          self.evadb, create_similarity_function_query
      )
  
      create_feat_function_query = """CREATE FUNCTION IF NOT EXISTS FeatureExtractor
                    INPUT  (frame NDARRAY UINT8(3, ANYDIM, ANYDIM))
                    OUTPUT (features NDARRAY FLOAT32(ANYDIM))
                    TYPE  Classification
                    IMPL  "evadb/functions/feature_extractor.py";
          """
      execute_query_fetch_all(self.evadb, create_feat_function_query)
  
      select_query = """SELECT data FROM MyVideo WHERE id = 1;"""
      batch_res = execute_query_fetch_all(self.evadb, select_query)
      img = batch_res.frames["myvideo.data"][0]
  
      tmp_dir_from_config = (
          self.evadb.catalog().get_configuration_catalog_value(
              "tmp_dir"
          )
      )
  
      img_save_path = os.path.join(tmp_dir_from_config, "dummy.jpg")
      try:
          os.remove(img_save_path)
      except FileNotFoundError:
          pass
  
      try_to_import_cv2()
      import cv2
  
      cv2.imwrite(img_save_path, img)
  
      similarity_query = """SELECT data FROM MyVideo WHERE id < 5
                      ORDER BY Similarity(FeatureExtractor(Open("{}")),
                                          FeatureExtractor(data))
                      LIMIT 1;""".format(
          img_save_path
      )
      actual_batch = execute_query_fetch_all(
          self.evadb, similarity_query
      )
  
      similar_data = actual_batch.frames["myvideo.data"][0]
      self.assertTrue(np.array_equal(img, similar_data))
  
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 15 for calling the PytorchTest obj's underlying member method code with example usage: obj.test_should_run_pytorch_and_similarity() without return types