class_docstr: Interact with an AWS Step Functions State Machine.
  
  Provide thin wrapper around :external+boto3:py:class:`boto3.client("stepfunctions") <SFN.Client>`.
  
  Additional arguments (such as ``aws_conn_id``) may be specified and
  are passed down to the underlying AwsBaseHook.
  
  .. seealso::
      - :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
docstr: Describe a State Machine Execution.
  
  .. seealso::
      - :external+boto3:py:meth:`SFN.Client.describe_execution`
  
  :param execution_arn: ARN of the State Machine Execution.
  :return: Dict with execution details.
docstr_tok: ["Describe","a","State","Machine","Execution",".","..","seealso",":",":","-",":","external+boto3",":","py",":","meth",":","`","SFN.Client.describe_execution","`",":","param","execution_arn",":","ARN","of","the","State","Machine","Execution",".",":","return",":","Dict","with","execution","details","."]
code: def describe_execution(self, execution_arn: str) -> dict:
      """
      Describe a State Machine Execution.
  
      .. seealso::
          - :external+boto3:py:meth:`SFN.Client.describe_execution`
  
      :param execution_arn: ARN of the State Machine Execution.
      :return: Dict with execution details.
      """
      return self.get_conn().describe_execution(
          executionArn=execution_arn
      )
  
imports: from __future__ import annotations
  import json
  from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
label_desc: Use image node_id 3 for calling the StepFunctionHook obj's underlying member method code with example usage: obj.describe_execution(execution_arn) and returns: self