code: def test_reorganize_output_matrix_increased():
      up = np.array(
          [
              [[False, True], [True, False]],
              [[True, False], [False, True]],
              [[False, True], [False, False]],
              [[True, False], [False, False]],
              [[False, False], [True, False]],
              [[False, False], [True, False]],
          ],
          dtype=bool,
      )
  
      lo = np.array(
          [
              [[False, False], [False, False]],
              [[False, False], [False, False]],
              [[False, False], [True, False]],
              [[False, False], [False, True]],
              [[False, True], [False, False]],
              [[False, True], [False, False]],
          ],
          dtype=bool,
      )
  
      model_outputs = np.array(
          [
              0.97,
              0.71,
              2.39,
              0.97,
              2.3,
              2.39,
              1.87,
              2.40,
              0.87,
              2.15,
              1.71,
              1.54,
              2.15,
              2.17,
              1.54,
              2.2,
              1.87,
              1.0,
          ],
          dtype=float,
      )
      op_vec = model_outputs.reshape(6, 3)
      actual = _reorganize_output_matrix(op_vec, up, lo)
      desired = np.array(
          [
              [2.39, 2.3, 2.4, 1.71, 1.54, 1.0],
              [0.71, 2.39, 2.40, 1.71, 2.15, 2.20],
          ],
          dtype=float,
      )
      assert_allclose(actual, desired, atol=1e-1)
  
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 10 for calling a global function with example usage: test_reorganize_output_matrix_increased() without return types