code: def image_uri(
      sklearn_latest_version,
      sklearn_latest_py_version,
      cpu_instance_type,
      sagemaker_session,
  ):
      return image_uris.retrieve(
          "sklearn",
          sagemaker_session.boto_region_name,
          version=sklearn_latest_version,
          py_version=sklearn_latest_py_version,
          instance_type=cpu_instance_type,
      )
  
imports: from __future__ import absolute_import
  import os
  import pytest
  from botocore.config import Config
  from sagemaker import image_uris, Session
  from sagemaker.dataset_definition.inputs import DatasetDefinition, RedshiftDatasetDefinition, AthenaDatasetDefinition, S3Input
  from sagemaker.network import NetworkConfig
  from sagemaker.processing import ProcessingInput, ProcessingOutput, ScriptProcessor, Processor, ProcessingJob, FeatureStoreOutput
  from sagemaker.sklearn.processing import SKLearnProcessor
  from tests.integ import DATA_DIR
  from tests.integ.kms_utils import get_or_create_kms_key
label_desc: Use image node_id 2 for calling a global function with example usage: image_uri(sklearn_latest_version, sklearn_latest_py_version, cpu_instance_type, sagemaker_session) and returns: image_uris