code: def test_compute_mu_star_confidence():
      """
      Tests that compute mu_star_confidence is computed correctly
      """
  
      ee = np.array([[2.52, 2.01, 2.30, 0.66, 0.93, 1.3]], dtype=float)
      num_resamples = 1000
      conf_level = 0.95
      num_vars = 1
  
      actual = _compute_mu_star_confidence(
          ee, num_vars, num_resamples, conf_level
      )
      expected = 0.5
      assert_allclose(actual, expected, atol=1e-01)
  
file_path: SALib/tests/test_analyze_morris.py
imports: from pytest import raises, fixture
  import numpy
  from numpy.testing import assert_allclose, assert_equal
  from SALib.analyze.morris import analyze, _compute_mu_star_confidence, _compute_elementary_effects, _reorganize_output_matrix, _compute_grouped_metric, _compute_grouped_sigma, _check_if_array_of_floats
label_desc: Use image node_id 1 for calling a global function with example usage: test_compute_mu_star_confidence() without return types