code: def test_model_use_kwargs(self):
      all_init_kwargs_used = {
          "image_uri": "Union[str, PipelineVariable]",
          "model_data": "Optional[Union[str, PipelineVariable]]",
          "role": "Optional[str] = None",
          "predictor_cls": Predictor,
          "env": {"1": 4},
          "name": "Optional[str] = None",
          "vpc_config": {"dsfsfs": "dfsfsd"},
          "enable_network_isolation": True,
          "model_kms_key": "Optional[str] = None",
          "image_config": {"s": "sd"},
          "source_dir": "Optional[str] = None",
          "code_location": "Optional[str] = None",
          "entry_point": "Optional[str] = None",
          "container_log_level": 83,
          "dependencies": ["help"],
          "git_config": {"dsfsd": "fsfs"},
      }
  
      all_deploy_kwargs_used = {
          "initial_instance_count": 88,
          "instance_type": "ml.p2.xlarge",
          "serializer": "BaseSerializer()",
          "deserializer": "BaseDeserializer()",
          "accelerator_type": "None",
          "endpoint_name": "None",
          "tags": [],
          "kms_key": "None",
          "wait": True,
          "data_capture_config": "None",
          "async_inference_config": "None",
          "serverless_inference_config": "None",
          "volume_size": 3,
          "model_data_download_timeout": 4,
          "container_startup_health_check_timeout": 2,
          "inference_recommendation_id": "None",
          "explainer_config": "None",
          "endpoint_logging": False,
      }
  
      self.evaluate_model_workflow_with_kwargs(
          init_kwargs=all_init_kwargs_used,
          deploy_kwargs=all_deploy_kwargs_used,
      )
  
imports: from __future__ import absolute_import
  from inspect import signature
  from typing import Optional, Set
  from unittest import mock
  import unittest
  from mock import MagicMock
  import pytest
  from sagemaker.async_inference.async_inference_config import AsyncInferenceConfig
  from sagemaker.jumpstart.artifacts.environment_variables import _retrieve_default_environment_variables
  from sagemaker.jumpstart.constants import DEFAULT_JUMPSTART_SAGEMAKER_SESSION
  from sagemaker.jumpstart.enums import JumpStartScriptScope, JumpStartTag
  from sagemaker.jumpstart.model import JumpStartModel
  from sagemaker.model import Model
  from sagemaker.predictor import Predictor
  from sagemaker.session_settings import SessionSettings
  from sagemaker.enums import EndpointType
  from sagemaker.compute_resource_requirements.resource_requirements import ResourceRequirements
  from tests.unit.sagemaker.jumpstart.utils import get_special_model_spec, overwrite_dictionary, get_special_model_spec_for_inference_component_based_endpoint
label_desc: Use image node_id 9 for calling the ModelTest obj's underlying member method code with example usage: obj.test_model_use_kwargs() without return types