code: def test_bagged_model_without_total_resources_but_with_ensemble_resources(
      mock_system_resources_ctx_mgr,
      mock_num_cpus,
      mock_num_gpus,
      k_fold,
  ):
      with mock_system_resources_ctx_mgr(
          num_cpus=mock_num_cpus, num_gpus=mock_num_gpus
      ):
          model_base = DummyModel()
          model_base.initialize()
          bagged_model = DummyBaggedModel(
              model_base,
              hyperparameters={
                  "ag_args_fit": {
                      "num_cpus": 99999,
                      "num_gpus": 99999,
                  }
              },
          )
          bagged_model.initialize()
          with pytest.raises(AssertionError) as e:
              bagged_model._preprocess_fit_resources(k_fold=k_fold)
  
          model_base = DummyModel()
          model_base.initialize()
          ensemble_ag_args_fit = {
              "num_cpus": 1,
              "num_gpus": 0,
          }
          bagged_model = DummyBaggedModel(
              model_base,
              hyperparameters={"ag_args_fit": ensemble_ag_args_fit},
          )
          bagged_model.initialize()
          resources = bagged_model._preprocess_fit_resources(
              k_fold=k_fold
          )
          resources.pop("k_fold")
          assert resources == ensemble_ag_args_fit
  
imports: import pytest
  from autogluon.common.utils.resource_utils import ResourceManager
  from autogluon.core.models.ensemble.bagged_ensemble_model import BaggedEnsembleModel
  from autogluon.tabular.models import AbstractModel
label_desc: Use image node_id 4 for calling a global function with example usage: test_bagged_model_without_total_resources_but_with_ensemble_resources(mock_system_resources_ctx_mgr, mock_num_cpus, mock_num_gpus, k_fold) without return types