code: def test_mse_standard_normal_binary(sample_binary_data):
      y_true, y_pred = sample_binary_data
      mse = mse_standard_normal(y_true, y_pred)
      assert mse == approx((0.0160, 0.5840), rel=1e-3, abs=1e-3)
  
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 9 for calling a global function with example usage: test_mse_standard_normal_binary(sample_binary_data) without return types