code: def test_choose_kind():
      kind = surface._choose_kind("abc", None)
      assert kind == "abc"
      kind = surface._choose_kind("abc", "mesh")
      assert kind == "abc"
      kind = surface._choose_kind("auto", None)
      assert kind == "line"
      kind = surface._choose_kind("auto", "mesh")
      assert kind == "depth"
      with pytest.raises(TypeError, match=".*sampling strategy"):
          kind = surface._choose_kind("depth", None)
  
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 31 for calling a global function with example usage: test_choose_kind() without return types