code: def sample_binary_data():
      return np.array([0, 1, 1, 1, 0, 1, 0, 1, 0, 0]), np.array(
          [0, 1, 1, 1, 1, 1, 1, 0, 0, 0]
      )
  
file_path: responsible-ai-toolbox/raiwidgets/tests/test_fairness_calculations.py
imports: import numpy
  import pytest
  from pytest import approx
  from raiwidgets.fairness_metric_calculation import compute_wilson_bounds, false_negative_rate_wilson, false_positive_rate_wilson, mae_standard_normal, mse_standard_normal, precision_wilson, recall_wilson, true_negative_rate_wilson
label_desc: Use image node_id 1 for calling a global function with example usage: sample_binary_data() and returns: np,  np