code: def test_init_with_valid_input(self, adult_data):
      train_df, test_df, _, target_col, classes = adult_data
      combined = pd.concat([train_df, test_df])
  
      # Try a combination of train only, test only, and both
      # Since fixtures are being used, easier not to use pytest.parametrize
      combinations = [
          (train_df, None),
          (None, test_df),
          (train_df, test_df),
      ]
      for train, test in combinations:
          combined = pd.concat([train, test])
          manager = DataBalanceManager(
              train=train,
              test=test,
              target_column=target_col,
              classes=classes,
              task_type=TaskType.CLASSIFICATION,
          )
          assert manager._target_column == target_col
          assert manager._train is train
          assert manager._test is test
          assert_frame_equal(
              manager._df.reset_index(drop=True),
              combined.reset_index(drop=True),
          )
  
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 1 for calling the TestDataBalanceManager obj's underlying member method code with example usage: obj.test_init_with_valid_input(adult_data) without return types