code: def test_generate_serving_properties_with_valid_configurations(
      mock_s3_list, mock_read_file, sagemaker_session
  ):
      mock_s3_list.return_value = [
          VALID_UNCOMPRESSED_MODEL_DATA + "/config.json"
      ]
      model_config = {
          "model_type": "gpt-neox",
          "n_head": 25,
      }
      mock_read_file.return_value = json.dumps(model_config)
      model = DJLModel(
          VALID_UNCOMPRESSED_MODEL_DATA,
          ROLE,
          sagemaker_session=sagemaker_session,
          number_of_partitions=4,
          min_workers=1,
          max_workers=3,
          job_queue_size=4,
          dtype="fp16",
          parallel_loading=True,
          model_loading_timeout=120,
          prediction_timeout=4,
          source_dir=SOURCE_DIR,
          entry_point=ENTRY_POINT,
          task="text-classification",
      )
      serving_properties = model.generate_serving_properties()
      expected_dict = {
          "engine": "Python",
          "option.entryPoint": ENTRY_POINT,
          "option.model_id": VALID_UNCOMPRESSED_MODEL_DATA,
          "option.tensor_parallel_degree": 4,
          "option.task": "text-classification",
          "option.dtype": "fp16",
          "minWorkers": 1,
          "maxWorkers": 3,
          "job_queue_size": 4,
          "option.parallel_loading": True,
          "option.model_loading_timeout": 120,
          "option.prediction_timeout": 4,
      }
      assert serving_properties == expected_dict
      serving_properties.clear()
      expected_dict.clear()
  
      model_config = {
          "model_type": "opt",
          "n_head": 4,
      }
      mock_read_file.return_value = json.dumps(model_config)
      model = DeepSpeedModel(
          VALID_UNCOMPRESSED_MODEL_DATA,
          ROLE,
          sagemaker_session=sagemaker_session,
          tensor_parallel_degree=1,
          task="text-generation",
          dtype="bf16",
          max_tokens=2048,
          low_cpu_mem_usage=True,
          enable_cuda_graph=True,
      )
      serving_properties = model.generate_serving_properties()
      expected_dict = {
          "engine": "DeepSpeed",
          "option.entryPoint": "djl_python.deepspeed",
          "option.model_id": VALID_UNCOMPRESSED_MODEL_DATA,
          "option.tensor_parallel_degree": 1,
          "option.task": "text-generation",
          "option.dtype": "bf16",
          "option.max_tokens": 2048,
          "option.enable_cuda_graph": True,
          "option.low_cpu_mem_usage": True,
          "option.triangular_masking": True,
          "option.return_tuple": True,
      }
      assert serving_properties == expected_dict
      serving_properties.clear()
      expected_dict.clear()
  
      model = HuggingFaceAccelerateModel(
          VALID_UNCOMPRESSED_MODEL_DATA,
          ROLE,
          sagemaker_session=sagemaker_session,
          number_of_partitions=1,
          device_id=4,
          device_map="balanced",
          dtype="fp32",
          low_cpu_mem_usage=False,
      )
      serving_properties = model.generate_serving_properties()
      expected_dict = {
          "engine": "Python",
          "option.entryPoint": "djl_python.huggingface",
          "option.model_id": VALID_UNCOMPRESSED_MODEL_DATA,
          "option.tensor_parallel_degree": 1,
          "option.dtype": "fp32",
          "option.device_id": 4,
          "option.device_map": "balanced",
      }
      assert serving_properties == expected_dict
  
imports: from __future__ import absolute_import
  import logging
  import json
  from json import JSONDecodeError
  import pytest
  from mock import Mock, MagicMock
  from mock import patch, mock_open
  from sagemaker.djl_inference import defaults, DJLModel, DJLPredictor, HuggingFaceAccelerateModel, DeepSpeedModel
  from sagemaker.djl_inference.model import DJLServingEngineEntryPointDefaults
  from sagemaker.s3_utils import s3_path_join
  from sagemaker.session_settings import SessionSettings
  from tests.unit import _test_default_bucket_and_prefix_combinations, DEFAULT_S3_BUCKET_NAME, DEFAULT_S3_OBJECT_KEY_PREFIX_NAME
label_desc: Use image node_id 12 for calling a global function with example usage: test_generate_serving_properties_with_valid_configurations(mock_s3_list, mock_read_file, sagemaker_session) without return types