code: def test_even_sample_size():
      """Specific regression test to ensure odd number of samples are handled."""
      sp = ProblemSpec(
          {
              "names": [
                  "a",
                  "q",
                  "b",
                  "mean",
                  "stdev",
                  "delta",
                  "alpha",
              ],
              "bounds": [
                  [0.0, 0.1],
                  [2.0, 4.5],
                  [0.1, 0.45],
                  [0.01, 0.05],
                  [0.001, 0.005],
                  [0.93, 0.99],
                  [0.2, 0.5],
              ],
              "outputs": ["max_P", "Utility", "Inertia", "Reliability"],
          }
      )
  
      # Test specific even number
      (
          sp.sample_fast(1024)
          .evaluate(lake_problem.evaluate)
          .analyze_fast()
      )
  
      evens = [random.randrange(5026, 6500, 2) for _ in range(0, 3)]
  
      for Ne in evens:
          (
              sp.sample_fast(Ne)
              .evaluate(lake_problem.evaluate)
              .analyze_fast()
          )
  
imports: from SALib import ProblemSpec
  from SALib.test_functions import lake_problem
  import random
label_desc: Use image node_id 2 for calling a global function with example usage: test_even_sample_size() without return types