class_docstr: An executor that executes SageMaker Pipelines locally.
class_docstr_tok: ["An","executor","that","executes","SageMaker","Pipelines","locally","."]
docstr: Evaluate pipeline execution variable runtime value.
docstr_tok: ["Evaluate","pipeline","execution","variable","runtime","value","."]
code: def _evaluate_execution_variable(self, pipeline_variable):
      """Evaluate pipeline execution variable runtime value."""
      if pipeline_variable in (
          ExecutionVariables.PIPELINE_NAME,
          ExecutionVariables.PIPELINE_ARN,
      ):
          return self.execution.pipeline.name
      if pipeline_variable in (
          ExecutionVariables.PIPELINE_EXECUTION_ID,
          ExecutionVariables.PIPELINE_EXECUTION_ARN,
      ):
          return self.execution.pipeline_execution_name
      if pipeline_variable == ExecutionVariables.START_DATETIME:
          return self.execution.creation_time
      if pipeline_variable == ExecutionVariables.CURRENT_DATETIME:
          return datetime.now()
      return None
  
imports: from __future__ import absolute_import
  from abc import ABC, abstractmethod
  import json
  from datetime import datetime
  from typing import Dict, List, Union
  from botocore.exceptions import ClientError
  from sagemaker.workflow.conditions import ConditionTypeEnum
  from sagemaker.workflow.function_step import DelayedReturn
  from sagemaker.workflow.steps import StepTypeEnum, Step
  from sagemaker.workflow.step_collections import StepCollection
  from sagemaker.workflow.entities import PipelineVariable
  from sagemaker.workflow.parameters import Parameter
  from sagemaker.workflow.functions import Join, JsonGet, PropertyFile
  from sagemaker.workflow.properties import Properties
  from sagemaker.workflow.execution_variables import ExecutionVariable, ExecutionVariables
  from sagemaker.workflow.pipeline import PipelineGraph
  from sagemaker.local.exceptions import StepExecutionException
  from sagemaker.local.utils import get_using_dot_notation
  from sagemaker.utils import unique_name_from_base
  from sagemaker.s3 import parse_s3_url, s3_path_join
label_desc: Use image node_id 9 for calling the LocalPipelineExecutor obj's underlying member method code with example usage: obj._evaluate_execution_variable(pipeline_variable) and returns: None, self, self, self, datetime