code: def test_validate_unsupported_task_type(self, forecasting_enabled):
      X_train, X_test, y_train, y_test, _, _ = create_iris_data()
  
      model = create_lightgbm_classifier(X_train, y_train)
      X_train[TARGET] = y_train
      X_test[TARGET] = y_test
  
      forecasting_extension = (
          ", 'forecasting'" if forecasting_enabled else ""
      )
      message = (
          "Unsupported task type 'regre'. "
          "Should be one of \\['classification', 'regression'"
          f"{forecasting_extension}\\]"
      )
      with pytest.raises(UserConfigValidationException, match=message):
          RAIInsights(
              model=model,
              train=X_train,
              test=X_test,
              target_column=TARGET,
              task_type="regre",
              forecasting_enabled=forecasting_enabled,
          )
  
imports: import logging
  import random
  from unittest.mock import MagicMock
  import numpy
  import pandas
  import pytest
  from lightgbm import LGBMClassifier
  from tests.common_utils import RandomForecastingModel, RandomForecastingModelWithQuantiles, create_iris_data, create_tiny_forecasting_dataset
  from rai_test_utils.datasets.tabular import create_binary_classification_dataset, create_cancer_data, create_housing_data
  from rai_test_utils.models.lightgbm import create_lightgbm_classifier
  from rai_test_utils.models.sklearn import create_sklearn_random_forest_regressor
  from raiutils.exceptions import UserConfigValidationException
  from responsibleai import RAIInsights
  from responsibleai.feature_metadata import FeatureMetadata
  from responsibleai.rai_insights.rai_insights import _MODEL_METHOD_EXCEPTION_MESSAGE
label_desc: Use image node_id 1 for calling the TestRAIInsightsValidations obj's underlying member method code with example usage: obj.test_validate_unsupported_task_type(forecasting_enabled) without return types