code: def test_transform_measures_to_dict_with_invalid_input(
      self, measures
  ):
      d = transform_measures_to_dict(
          feature_balance_measures=measures,
          distribution_balance_measures=measures,
          aggregate_balance_measures=measures,
      )
      # Even with invalid input, should return a dict of empty dicts
      assert isinstance(d, dict)
      assert len(d) == 3
  
      assert FEATURE_BALANCE_MEASURES_KEY in d
      assert isinstance(d[FEATURE_BALANCE_MEASURES_KEY], dict)
      assert len(d[FEATURE_BALANCE_MEASURES_KEY]) == 0
  
      assert DISTRIBUTION_BALANCE_MEASURES_KEY in d
      assert isinstance(d[DISTRIBUTION_BALANCE_MEASURES_KEY], dict)
      assert len(d[DISTRIBUTION_BALANCE_MEASURES_KEY]) == 0
  
      assert AGGREGATE_BALANCE_MEASURES_KEY in d
      assert isinstance(d[AGGREGATE_BALANCE_MEASURES_KEY], dict)
      assert len(d[AGGREGATE_BALANCE_MEASURES_KEY]) == 0
  
file_path: responsible-ai-toolbox/responsibleai/tests/databalanceanalysis/test_data_balance_helper.py
imports: import pandas
  import pytest
  from responsibleai.databalanceanalysis.constants import Constants
  from responsibleai.databalanceanalysis.data_balance_utils import AGGREGATE_BALANCE_MEASURES_KEY, DISTRIBUTION_BALANCE_MEASURES_KEY, FEATURE_BALANCE_MEASURES_KEY, prepare_df, transform_aggregate_balance_measures, transform_distribution_balance_measures, transform_feature_balance_measures, transform_measures_to_dict
label_desc: Use image node_id 5 for calling the TestDataBalanceUtils obj's underlying member method code with example usage: obj.test_transform_measures_to_dict_with_invalid_input(measures) without return types