code: def test_model_data_s3_prefix_model(
      self,
      mock_js_info_logger: mock.Mock,
      mock_model_deploy: mock.Mock,
      mock_model_init: mock.Mock,
      mock_get_model_specs: mock.Mock,
      mock_session: mock.Mock,
      mock_is_valid_model_id: mock.Mock,
  ):
      mock_model_deploy.return_value = default_predictor
  
      mock_is_valid_model_id.return_value = True
      model_id, _ = "model_data_s3_prefix_model", "*"
  
      mock_get_model_specs.side_effect = get_special_model_spec
  
      mock_session.return_value = sagemaker_session
  
      JumpStartModel(model_id=model_id, instance_type="ml.p2.xlarge")
  
      mock_model_init.assert_called_once_with(
          image_uri="763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-inference:1.12.0-gpu-py38",
          model_data={
              "S3DataSource": {
                  "S3Uri": "s3://jumpstart-cache-prod-us-west-2/huggingface-infer/prepack/v1.0.1/",
                  "S3DataType": "S3Prefix",
                  "CompressionType": "None",
              }
          },
          predictor_cls=Predictor,
          role=execution_role,
          sagemaker_session=sagemaker_session,
          enable_network_isolation=False,
      )
  
      mock_js_info_logger.assert_not_called()
  
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 23 for calling the ModelTest obj's underlying member method code with example usage: obj.test_model_data_s3_prefix_model(mock_js_info_logger, mock_model_deploy, mock_model_init, mock_get_model_specs, mock_session, mock_is_valid_model_id) without return types