class_docstr: An executor that executes SageMaker Pipelines locally.
class_docstr_tok: ["An","executor","that","executes","SageMaker","Pipelines","locally","."]
docstr: Execute a local pipeline step.
docstr_tok: ["Execute","a","local","pipeline","step","."]
code: def _execute_step(self, step):
      """Execute a local pipeline step."""
      self.execution.mark_step_executing(step.name)
      step_properties = self._step_executor_factory.get(step).execute()
      self.execution.update_step_properties(step.name, step_properties)
  
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 3 for calling the LocalPipelineExecutor obj's underlying member method code with example usage: obj._execute_step(step) without return types