code: def test_plot_edf_with_target(plot_edf: Callable[..., Any]) -> None:
      study = create_study()
      study.optimize(lambda t: t.suggest_float("x", 0, 5), n_trials=10)
      with pytest.warns(UserWarning):
          figure = plot_edf(study, target=lambda t: t.params["x"])
      save_static_image(figure)
  
imports: from __future__ import annotations
  from io import BytesIO
  from typing import Any
  from typing import Callable
  import numpy
  import pytest
  import optuna
  from optuna import Study
  from optuna.study import create_study
  from optuna.testing.visualization import prepare_study_with_trials
  from optuna.trial import create_trial
  from optuna.visualization import plot_edf
  from optuna.visualization._edf import _EDFInfo
  from optuna.visualization._edf import _get_edf_info
  from optuna.visualization._edf import NUM_SAMPLES_X_AXIS
  from optuna.visualization._plotly_imports import _imports
  from optuna.visualization.matplotlib import plot_edf
  from optuna.visualization.matplotlib._matplotlib_imports import _imports
label_desc: Use image node_id 7 for calling a global function with example usage: test_plot_edf_with_target(plot_edf) without return types