code: def test_validate_test_data_size(self):
      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
  
      length = len(y_test)
      with pytest.warns(
          UserWarning,
          match=f"The size of the test set {length} is greater than "
          f"the supported limit of {length-1}. Computing insights"
          f" for the first {length-1} samples of the test set",
      ):
          ModelAnalysis(
              model=model,
              train=X_train,
              test=X_test,
              target_column="target",
              task_type="classification",
              maximum_rows_for_test=len(y_test) - 1,
          )
  
imports: import logging
  from unittest.mock import MagicMock
  import pandas
  import pytest
  from tests.common_utils import create_iris_data
  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.modelanalysis.model_analysis import ModelAnalysis
label_desc: Use image node_id 2 for calling the TestModelAnalysisValidations obj's underlying member method code with example usage: obj.test_validate_test_data_size() without return types