code: def script_dir():
      return os.path.join(DATA_DIR, "sklearn_processing")
  
imports: from __future__ import absolute_import
  import os
  import time
  import pytest
  from tests.integ.sagemaker.workflow.helpers import wait_pipeline_execution
  from sagemaker.processing import ProcessingInput
  from sagemaker.session import get_execution_role
  from sagemaker.sklearn.processing import SKLearnProcessor
  from sagemaker.dataset_definition.inputs import DatasetDefinition, AthenaDatasetDefinition
  from sagemaker.workflow.execution_variables import ExecutionVariables
  from sagemaker.workflow.functions import Join
  from sagemaker.workflow.parameters import ParameterInteger
  from sagemaker.workflow.pipeline_experiment_config import PipelineExperimentConfig
  from sagemaker.workflow.steps import ProcessingStep
  from sagemaker.workflow.pipeline import Pipeline
  from tests.integ import DATA_DIR
label_desc: Use image node_id 3 for calling a global function with example usage: script_dir() and returns: os