code: def test_load_surf_mesh_list():
      # test if correct list is returned
      mesh = generate_surf()
      assert len(load_surf_mesh(mesh)) == 2
      assert_array_equal(load_surf_mesh(mesh)[0], mesh[0])
      assert_array_equal(load_surf_mesh(mesh)[1], mesh[1])
      # test if incorrect list, array or dict raises error
      with pytest.raises(ValueError, match="it must have two elements"):
          load_surf_mesh([])
      with pytest.raises(ValueError, match="it must have two elements"):
          load_surf_mesh([mesh[0]])
      with pytest.raises(ValueError, match="it must have two elements"):
          load_surf_mesh([mesh[0], mesh[1], mesh[1]])
      with pytest.raises(
          ValueError, match="input type is not recognized"
      ):
          load_surf_mesh(mesh[0])
      with pytest.raises(
          ValueError, match="input type is not recognized"
      ):
          load_surf_mesh({})
      del mesh
  
imports: import os
  import tempfile
  import warnings
  import nibabel
  import numpy
  import pytest
  from nibabel import gifti
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  from scipy.spatial import Delaunay
  from scipy.stats import pearsonr
  from nilearn import datasets, image
  from nilearn._utils import data_gen
  from nilearn.image import resampling
  from nilearn.surface import Mesh, Surface, load_surf_data, load_surf_mesh, surface
  from nilearn.surface.surface import _gifti_img_to_mesh, _load_surf_files_gifti_gzip
  from nilearn.surface.tests._testing import flat_mesh, generate_surf, z_const_img
label_desc: Use image node_id 9 for calling a global function with example usage: test_load_surf_mesh_list() without return types