code: def test_validate_with_invalid_target_col(
      self, adult_data, target_col
  ):
      train_df, test_df, _, _, classes = adult_data
  
      with pytest.raises(ValueError):
          manager = DataBalanceManager(
              train=train_df,
              test=test_df,
              target_column=target_col,
              classes=classes,
              task_type=TaskType.CLASSIFICATION,
          )
          manager._validate()
  
imports: import pandas
  import pytest
  from pandas.testing import assert_frame_equal
  from responsibleai._interfaces import TaskType
  from responsibleai.databalanceanalysis.data_balance_utils import AGGREGATE_BALANCE_MEASURES_KEY, DISTRIBUTION_BALANCE_MEASURES_KEY, FEATURE_BALANCE_MEASURES_KEY
  from responsibleai.managers.data_balance_manager import DataBalanceManager
  from responsibleai.rai_insights.rai_insights import RAIInsights
label_desc: Use image node_id 6 for calling the TestDataBalanceManager obj's underlying member method code with example usage: obj.test_validate_with_invalid_target_col(adult_data, target_col) without return types