code: def get_devices():
      """This works only if driver is the same machine of worker."""
      completed = subprocess.run(
          gpu_discovery_script_path, stdout=subprocess.PIPE
      )
      assert (
          completed.returncode == 0
      ), "Failed to execute discovery script."
      msg = completed.stdout.decode("utf-8")
      result = json.loads(msg)
      addresses = result["addresses"]
      return addresses
  
imports: import json
  import logging
  import subprocess
  import numpy
  import pytest
  import sklearn
  from xgboost import testing
  from pyspark.ml.linalg import Vectors
  from pyspark.ml.tuning import CrossValidator, ParamGridBuilder
  from pyspark.sql import SparkSession
  from xgboost.spark import SparkXGBClassifier, SparkXGBRegressor, SparkXGBRegressorModel
label_desc: Use image node_id 1 for calling a global function with example usage: get_devices() and returns: addresses