code: def test_transform_feature_balance_measures_with_valid_input(
      self, adult_data_feature_balance_measures
  ):
      pos_label = "1"
  
      d = transform_feature_balance_measures(
          dfs=adult_data_feature_balance_measures
      )
      assert isinstance(d, dict)
      assert len(d) != 0
  
      # FeatureNames in the df are transformed to keys of the dict
      feature_names = adult_data_feature_balance_measures[pos_label][
          Constants.FEATURE_NAME.value
      ].unique()
      for col in feature_names:
          assert col in d[pos_label]
  
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 6 for calling the TestDataBalanceUtils obj's underlying member method code with example usage: obj.test_transform_feature_balance_measures_with_valid_input(adult_data_feature_balance_measures) without return types