code: def test_weird_predict_function(self):
      X_train, X_test, y_train, y_test, _, _ = create_iris_data()
  
      # A weird model that modifies the input dataset by
      # adding back the target column
      class WeirdModelPredictWrapper:
          def __init__(self, model):
              self.model = model
  
          def predict(self, test_data_pandas):
              if TARGET not in test_data_pandas.columns:
                  test_data_pandas[TARGET] = 0
              return self.model.predict(
                  test_data_pandas.drop(columns=TARGET)
              )
  
          def predict_proba(self, test_data_pandas):
              return self.model.predict_proba(test_data_pandas)
  
      model = create_lightgbm_classifier(X_train, y_train)
      model = WeirdModelPredictWrapper(model)
      X_train = X_train.copy()
      X_test = X_test.copy()
      X_train[TARGET] = y_train
      X_test[TARGET] = y_test
  
      message = (
          "Calling model predict function modifies "
          "input dataset features. Please check if "
          "predict function is defined correctly."
      )
      with pytest.raises(UserConfigValidationException, match=message):
          RAIInsights(
              model=model,
              train=X_train,
              test=X_test,
              target_column=TARGET,
              task_type="classification",
          )
  
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 8 for calling the TestCounterfactualUserConfigValidations obj's underlying member method code with example usage: obj.test_weird_predict_function() and returns: self, self