code: def sample_continuous_data():
      return np.array(
          [25, 36, 12, 10, 52, 64, 34, 36, 11, 17]
      ), np.array([37, 29, 20, 2, 12, 75, 53, 64, 23, 29])
  
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 2 for calling a global function with example usage: sample_continuous_data() and returns: np,  np