code: def objective_test_upgrade_distributions(
      trial: optuna.trial.Trial,
  ) -> float:
      x1 = trial.suggest_float("x1", -5, 5)
      x2 = trial.suggest_float("x2", 1e-5, 1e-3, log=True)
      x3 = trial.suggest_float("x3", -6, 6, step=2)
      y1 = trial.suggest_int("y1", 0, 10)
      y2 = trial.suggest_int("y2", 1, 20, log=True)
      y3 = trial.suggest_int("y3", 5, 15, step=3)
      z = trial.suggest_categorical("z", [-5, 0, 5])
      return (
          x1**2
          + x2**2
          + x3**2
          + y1**2
          + y2**2
          + y3**2
          + z**2
      )
  
imports: from argparse import ArgumentParser
  from typing import Tuple
  from packaging import version
  import optuna
label_desc: Use image node_id 3 for calling a global function with example usage: objective_test_upgrade_distributions(trial) and returns: unknown