code: def test_constraints_func_experimental_warning() -> None:
      study = optuna.create_study(directions=["minimize", "minimize"])
  
      with pytest.warns(optuna.exceptions.ExperimentalWarning):
          _get_pareto_front_info(
              study=study,
              constraints_func=lambda _: [1.0],
          )
  
imports: from __future__ import annotations
  from io import BytesIO
  from typing import Any
  from typing import Callable
  from typing import Sequence
  import warnings
  import pytest
  import optuna
  from optuna import create_study
  from optuna import create_trial
  from optuna.distributions import FloatDistribution
  from optuna.study.study import Study
  from optuna.trial import FrozenTrial
  from optuna.visualization import plot_pareto_front
  import optuna.visualization._pareto_front
  from optuna.visualization._pareto_front import _get_pareto_front_info
  from optuna.visualization._pareto_front import _ParetoFrontInfo
  from optuna.visualization._plotly_imports import go
  from optuna.visualization._utils import COLOR_SCALE
  from optuna.visualization.matplotlib._matplotlib_imports import plt
  import optuna.visualization.matplotlib._pareto_front
label_desc: Use image node_id 12 for calling a global function with example usage: test_constraints_func_experimental_warning() without return types