code: def test_handler(
      monkeypatch, mocker, file, expected_result, model_config
  ):
      """
      Test dlrm handler as standalone entity with specified test cases
      """
      monkeypatch.syspath_prepend(EXAMPLE_ROOT_DIR)
      mocker.patch(
          "dlrm_factory.create_default_model_config", model_config
      )
  
      from dlrm_handler import TorchRecDLRMHandler
  
      handler = TorchRecDLRMHandler()
      ctx = MockContext(
          model_pt_file=None,
          model_dir=EXAMPLE_ROOT_DIR.as_posix(),
          model_file="dlrm_factory.py",
      )
  
      torch.manual_seed(42 * 42)
      handler.initialize(ctx)
  
      # Batch size 2
      with open(Path(CURR_FILE_PATH) / "test_data" / file) as f:
          data = json.load(f)
  
      x = mocker.Mock(get=lambda x: json.dumps(data))
  
      x = handler.preprocess([x])
      x = handler.inference(x)
      x = handler.postprocess(x)
  
      assert x == expected_result
  
file_path: serve/test/pytest/test_example_torchrec_dlrm.py
imports: import json
  import shutil
  import sys
  from pathlib import Path
  import pytest
  import requests
  import test_utils
  import torch
  from model_archiver import ModelArchiverConfig
  from ts.torch_handler.unit_tests.test_utils.mock_context import MockContext
label_desc: Use image node_id 6 for calling a global function with example usage: test_handler(monkeypatch, mocker, file, expected_result, model_config) without return types