docstr: Tests whether the correct combination is picked from the fixture drawn
  from Saltelli et al. 2008, in the solution to exercise 3a,
  Chapter 3, page 134.
docstr_tok: ["Tests","whether","the","correct","combination","is","picked","from","the","fixture","drawn","from","Saltelli","et","al",".","2008",",","in","the","solution","to","exercise","3a",",","Chapter","3",",","page","134","."]
code: def test_combo_from_locally_optimal_method(self, setup_input):
      """
      Tests whether the correct combination is picked from the fixture drawn
      from Saltelli et al. 2008, in the solution to exercise 3a,
      Chapter 3, page 134.
      """
      sample_inputs = setup_input
      N = 6
      num_params = 2
      k_choices = 4
      strategy = LocalOptimisation()
      output = strategy.find_local_maximum(
          sample_inputs, N, num_params, k_choices
      )
      expected = [0, 2, 3, 5]  # trajectories 1, 3, 4, 6
      assert_equal(output, expected)
  
imports: from SALib.sample.morris import SampleMorris, LocalOptimisation, BruteForce
  from SALib.sample.morris.morris import _sample_morris
  from SALib.util import read_param_file
  import numpy
  from numpy.testing import assert_equal, assert_allclose
  import numpy.random
  import pytest
  from pytest import fixture, raises
label_desc: Use image node_id 5 for calling the TestLocalMethods obj's underlying member method code with example usage: obj.test_combo_from_locally_optimal_method(setup_input) without return types