code: def adult_data_feature_balance_measures():
      return {
          "1": pd.DataFrame(
              {
                  "ClassA": {"0": "White", "1": "Male"},
                  "ClassB": {"0": "Other", "1": "Female"},
                  "FeatureName": {"0": "race", "1": "gender"},
                  "StatisticalParity": {
                      "0": 0.0982367846,
                      "1": 0.1977193125,
                  },
                  "PointwiseMutualInfo": {
                      "0": 0.4906283898,
                      "1": 1.0465727536,
                  },
                  "SorensonDiceCoeff": {
                      "0": 0.1394139444,
                      "1": 0.1622153797,
                  },
                  "JaccardIndex": {
                      "0": 0.1846417746,
                      "1": 0.2230209651,
                  },
                  "KendallRankCorrelation": {
                      "0": -4.6080688829,
                      "1": -0.8738917288,
                  },
                  "LogLikelihoodRatio": {
                      "0": 2.264674102,
                      "1": 1.7462342396,
                  },
                  "TTest": {"0": -1.0210127581, "1": -0.3685341442},
                  "TTestPValue": {"0": 0.2466906059, "1": 0.3876079751},
              }
          )
      }
  
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 2 for calling a global function with example usage: adult_data_feature_balance_measures() and returns: dict