code: def adult_data_distribution_balance_measures():
      return pd.DataFrame(
          {
              "FeatureName": {"0": "race", "1": "gender"},
              "KLDivergence": {"0": 0.2791392127, "1": 0.0576400449},
              "JensenShannonDist": {
                  "0": 0.2741838602,
                  "1": 0.1209204479,
              },
              "WassersteinDist": {"0": 0.3549600737, "1": 0.168112715},
              "InfiniteNormDist": {"0": 0.3549600737, "1": 0.168112715},
              "TotalVarianceDist": {
                  "0": 0.3549600737,
                  "1": 0.168112715,
              },
              "ChiSquarePValue": {"0": 0.0, "1": 0.0},
              "ChiSquareStat": {
                  "0": 13127.8433660934,
                  "1": 2944.6623157248,
              },
              "CrossEntropy": {"0": 1.5057745222, "1": 1.0865356576},
          }
      )
  
file_path: responsible-ai-toolbox/responsibleai/tests/databalanceanalysis/conftest.py
imports: import pandas
  import pytest
  from tests.common_utils import create_adult_income_dataset
label_desc: Use image node_id 3 for calling a global function with example usage: adult_data_distribution_balance_measures() and returns: pd