code: def terminate_current_instance():
      """Use AWS CLI to terminate current instance.
  
      This requires the 'chaos-test-name': 'tune-chaos-test' tag to be set
      on the instance."""
      token = requests.put(
          "http://169.254.169.254/latest/api/token",
          headers={"X-aws-ec2-metadata-token-ttl-seconds": "300"},
      ).text
      instance_id = requests.get(
          "http://169.254.169.254/latest/meta-data/instance-id",
          headers={"X-aws-ec2-metadata-token": token},
      ).text
      region = requests.get(
          "http://169.254.169.254/latest/meta-data/placement/region",
          headers={"X-aws-ec2-metadata-token": token},
      ).text
      return subprocess.run(
          [
              "aws",
              "ec2",
              "terminate-instances",
              "--instance-ids",
              instance_id,
              "--region",
              region,
          ],
          check=True,
          stdout=subprocess.PIPE,
          stderr=subprocess.PIPE,
      )
  
file_path: ray/release/tune_tests/fault_tolerance_tests/workloads/terminate_node_aws.py
imports: import subprocess
  import random
  import requests
  import time
  import logging
  import ray
  from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy
  from ray._private.test_utils import safe_write_to_results_json
label_desc: Use image node_id 1 for calling a global function with example usage: terminate_current_instance() and returns: subprocess