code: def test_balance_classes_without_correct_drift_mode():
      # Arrange
      assert_that(
          calling(PredictionDrift).with_args(
              balance_classes=True, drift_mode="proba"
          ),
          raises(
              DeepchecksValueError,
              "balance_classes=True is not supported for drift_mode='proba'. "
              "Change drift_mode to 'prediction' or 'auto' in order to use this parameter",
          ),
      )
  
imports: import pandas
  from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_length, raises
  from deepchecks.core.errors import DeepchecksValueError, NotEnoughSamplesError
  from deepchecks.tabular import Dataset
  from deepchecks.tabular.checks import PredictionDrift
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 12 for calling a global function with example usage: test_balance_classes_without_correct_drift_mode() without return types