code: def mo_objective_test_upgrade(
      trial: optuna.trial.Trial,
  ) -> Tuple[float, float]:
      x = trial.suggest_float("x", -5, 5)
      y = trial.suggest_int("y", 0, 10)
      z = trial.suggest_categorical("z", [-5, 0, 5])
      trial.storage.set_trial_system_attr(trial._trial_id, "a", 0)
      trial.set_user_attr("b", 1)
      return x, x**2 + y**2 + z**2
  
imports: from argparse import ArgumentParser
  from typing import Tuple
  from packaging import version
  import optuna
label_desc: Use image node_id 2 for calling a global function with example usage: mo_objective_test_upgrade(trial) and returns: x,  unknown