code: def test_reorder_img_error_interpolation(affine_eye, rng):
      shape = (5, 5, 5, 2, 2)
      data = rng.uniform(size=shape)
      affine = affine_eye
      affine[1, 0] = 0.1
      ref_img = Nifti1Image(data, affine)
  
      with pytest.raises(
          ValueError, match="interpolation must be one of"
      ):
          reorder_img(ref_img, resample="an_invalid_interpolation")
  
imports: import copy
  import math
  import os
  from pathlib import Path
  import numpy
  import pytest
  from nibabel import Nifti1Header, Nifti1Image
  from nibabel.freesurfer import MGHImage
  from numpy.testing import assert_allclose, assert_almost_equal, assert_array_almost_equal, assert_array_equal, assert_equal
  from nilearn import _utils
  from nilearn._utils import testing
  from nilearn.conftest import _affine_eye, _rng
  from nilearn.image import get_data
  from nilearn.image.image import _pad_array, crop_img
  from nilearn.image.resampling import BoundingBoxError, coord_transform, from_matrix_vector, get_bounds, reorder_img, resample_img, resample_to_img
label_desc: Use image node_id 30 for calling a global function with example usage: test_reorder_img_error_interpolation(affine_eye, rng) without return types