code: def test_generate_fold_configs():
      y = pd.Series([0, 0, 0, 1, 1, 1, 1, 1])
      X = pd.DataFrame([[0], [0], [0], [0], [0], [0], [0], [0]])
  
      k_fold_start = 2
      k_fold_end = 1
      k_fold = 3
      n_repeat_start = 2
      n_repeats = 5
  
      cv_splitter = CVSplitter(
          n_splits=k_fold,
          n_repeats=n_repeats,
          stratified=True,
          random_state=0,
      )
  
      (
          fold_fit_args_list,
          n_repeats_started,
          n_repeats_finished,
      ) = BaggedEnsembleModel._generate_fold_configs(
          X=X,
          y=y,
          cv_splitter=cv_splitter,
          k_fold_start=k_fold_start,
          k_fold_end=k_fold_end,
          n_repeat_start=n_repeat_start,
          n_repeat_end=n_repeats,
      )
  
      assert fold_fit_args_list[0]["model_name_suffix"] == "S3F3"
      assert fold_fit_args_list[-1]["model_name_suffix"] == "S5F1"
      assert len(fold_fit_args_list) == 5
      assert n_repeats_started == 2
      assert n_repeats_finished == 2
  
      assert fold_fit_args_list[0]["is_last_fold"] is False
      assert fold_fit_args_list[1]["is_last_fold"] is False
      assert fold_fit_args_list[2]["is_last_fold"] is False
      assert fold_fit_args_list[3]["is_last_fold"] is False
      assert fold_fit_args_list[4]["is_last_fold"] is True
  
imports: import pandas
  from autogluon.core.models import BaggedEnsembleModel
  from autogluon.core.utils.utils import CVSplitter
label_desc: Use image node_id 1 for calling a global function with example usage: test_generate_fold_configs() without return types