code: def _multiobjective_func(
      trial: optuna.trial.Trial,
  ) -> Tuple[float, float]:
      x = trial.suggest_float("x", low=-10, high=10)
      y = trial.suggest_float("y", low=1, high=10, log=True)
      first_objective = (x - 2) ** 2 + (y - 25) ** 2
      second_objective = (x - 2) ** 3 + (y - 25) ** 3
  
      return first_objective, second_objective
  
imports: from typing import Any
  from typing import Dict
  from typing import List
  from typing import Sequence
  from typing import Tuple
  from typing import Union
  from unittest import mock
  import pytest
  import optuna
  from optuna.integration import WeightsAndBiasesCallback
label_desc: Use image node_id 2 for calling a global function with example usage: _multiobjective_func(trial) and returns: first_objective,  second_objective