code: def test_rai_insights_empty_save_load_save(self):
      (
          X_train,
          y_train,
          X_test,
          y_test,
          classes,
      ) = create_binary_classification_dataset()
  
      model = create_lightgbm_classifier(X_train, y_train)
      X_train[LABELS] = y_train
      X_test[LABELS] = y_test
  
      rai_insights = RAIInsights(
          model,
          X_train,
          X_test,
          LABELS,
          categorical_features=None,
          task_type=ModelTask.CLASSIFICATION,
      )
  
      with TemporaryDirectory() as tmpdir:
          save_1 = Path(tmpdir) / "first_save"
          save_2 = Path(tmpdir) / "second_save"
  
          # Save it
          rai_insights.save(save_1)
          assert len(os.listdir(save_1 / ManagerNames.CAUSAL)) == 0
          assert (
              len(os.listdir(save_1 / ManagerNames.COUNTERFACTUAL)) == 0
          )
          assert (
              len(os.listdir(save_1 / ManagerNames.DATA_BALANCE)) == 0
          )
          assert (
              len(os.listdir(save_1 / ManagerNames.ERROR_ANALYSIS)) == 0
          )
          assert len(os.listdir(save_1 / ManagerNames.EXPLAINER)) == 0
  
          # Load
          rai_2 = RAIInsights.load(save_1)
  
          # Validate, but this isn't the main check
          validate_rai_insights(
              rai_2, X_train, X_test, LABELS, ModelTask.CLASSIFICATION
          )
  
          # Save again (this is where Issue #1046 manifested)
          rai_2.save(save_2)
          assert len(os.listdir(save_2 / ManagerNames.CAUSAL)) == 0
          assert (
              len(os.listdir(save_2 / ManagerNames.COUNTERFACTUAL)) == 0
          )
          assert (
              len(os.listdir(save_2 / ManagerNames.DATA_BALANCE)) == 0
          )
          assert (
              len(os.listdir(save_2 / ManagerNames.ERROR_ANALYSIS)) == 0
          )
          assert len(os.listdir(save_2 / ManagerNames.EXPLAINER)) == 0
  
imports: import os
  from pathlib import Path
  from tempfile import TemporaryDirectory
  import numpy
  import pandas
  import pytest
  from tests.common_utils import ADULT_CATEGORICAL_FEATURES_AFTER_DROP, ADULT_DROPPED_FEATURES, create_iris_data
  from rai_test_utils.datasets.tabular import create_binary_classification_dataset
  from rai_test_utils.models.lightgbm import create_lightgbm_classifier
  from rai_test_utils.models.sklearn import create_complex_classification_pipeline
  from raiutils.models import ModelTask
  from responsibleai import RAIInsights
  from responsibleai._internal.constants import ManagerNames, SerializationAttributes
  from responsibleai.feature_metadata import FeatureMetadata
label_desc: Use image node_id 1 for calling the TestRAIInsightsSaveAndLoadScenarios obj's underlying member method code with example usage: obj.test_rai_insights_empty_save_load_save() without return types