code: def test_epsilon_dataset_binary_groups():
      eps_data = (
          dataset_metric.smoothed_empirical_differential_fairness()
      )
      assert eps_data == 1.53679014653623
  
file_path: AIF360/tests/test_differential_fairness.py
imports: import numpy
  from sklearn.preprocessing import StandardScaler
  from sklearn.linear_model import LogisticRegression
  from aif360.datasets import AdultDataset
  from aif360.metrics import BinaryLabelDatasetMetric, ClassificationMetric
label_desc: Use image node_id 1 for calling a global function with example usage: test_epsilon_dataset_binary_groups() without return types