code: def test_load_surf_data_array():
      # test loading and squeezing data from numpy array
      data_flat = np.zeros((20,))
      data_squeeze = np.zeros((20, 1, 3))
      assert_array_equal(load_surf_data(data_flat), np.zeros((20,)))
      assert_array_equal(
          load_surf_data(data_squeeze), np.zeros((20, 3))
      )
  
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 2 for calling a global function with example usage: test_load_surf_data_array() without return types