code: def test_Sobol_G_using_sobol():
      """
      Tests the accuracy of the Sobol/Saltelli procedure using the Sobol_G
      test function, comparing the results from the Sobol/Saltelli analysis
      against the analytically computed sensitivity index from the Sobol_G
      function.
      """
      problem = {
          "num_vars": 6,
          "names": ["x1", "x2", "x3", "x4", "x5", "x6"],
          "bounds": [[0, 1], [0, 1], [0, 1], [0, 1], [0, 1], [0, 1]],
      }
      N = 4096
      a = np.array([78, 12, 0.5, 2, 97, 33])
      param_values = sobol_sample(problem, N, calc_second_order=False)
      model_results = Sobol_G.evaluate(param_values, a)
      Si = sobol.analyze(
          problem, model_results, calc_second_order=False
      )
  
      expected = Sobol_G.sensitivity_index(a)
      assert_allclose(Si["S1"], expected, atol=1e-2, rtol=1e-6)
  
imports: from pytest import raises, mark
  from numpy.testing import assert_equal, assert_allclose
  import numpy
  from scipy.stats import norm
  from SALib.analyze import sobol
  from SALib.sample.sobol import sample
  from SALib.sample import sobol_sequence
  from SALib.test_functions import Ishigami, Sobol_G
  from SALib.util import read_param_file
label_desc: Use image node_id 11 for calling a global function with example usage: test_Sobol_G_using_sobol() without return types