code: def test_repack_code_location_with_key_prefix(
      repack_model, sagemaker_session
  ):
      code_location = "s3://my-bucket/code/location/"
  
      t = Model(
          entry_point=ENTRY_POINT_INFERENCE,
          role=ROLE,
          sagemaker_session=sagemaker_session,
          source_dir=SCRIPT_URI,
          image_uri=IMAGE_URI,
          model_data=MODEL_DATA,
          code_location=code_location,
      )
      t.deploy(
          instance_type=INSTANCE_TYPE,
          initial_instance_count=INSTANCE_COUNT,
      )
  
      repack_model.assert_called_once()
  
imports: from __future__ import absolute_import
  import random
  from unittest.mock import MagicMock
  import pytest
  from mock import Mock, patch
  import sagemaker
  from sagemaker.async_inference import AsyncInferenceConfig
  from sagemaker.model import FrameworkModel, Model
  from sagemaker.huggingface.model import HuggingFaceModel
  from sagemaker.jumpstart.constants import JUMPSTART_GATED_AND_PUBLIC_BUCKET_NAME_SET, JUMPSTART_RESOURCE_BASE_NAME
  from sagemaker.jumpstart.enums import JumpStartTag
  from sagemaker.mxnet.model import MXNetModel
  from sagemaker.pytorch.model import PyTorchModel
  from sagemaker.session_settings import SessionSettings
  from sagemaker.sklearn.model import SKLearnModel
  from sagemaker.tensorflow.model import TensorFlowModel
  from sagemaker.xgboost.model import XGBoostModel
  from sagemaker.enums import EndpointType
  from sagemaker.compute_resource_requirements.resource_requirements import ResourceRequirements
  from sagemaker.workflow.properties import Properties
  from tests.unit import _test_default_bucket_and_prefix_combinations, DEFAULT_S3_BUCKET_NAME, DEFAULT_S3_OBJECT_KEY_PREFIX_NAME, SAGEMAKER_CONFIG_EDGE_PACKAGING_JOB
label_desc: Use image node_id 34 for calling a global function with example usage: test_repack_code_location_with_key_prefix(repack_model, sagemaker_session) without return types