code: def test_resample_input(affine_eye, shape, rng, tmp_path):
      data = rng.integers(0, 10, shape, dtype="int32")
      affine = affine_eye
      affine[:3, -1] = 0.5 * np.array(shape[:3])
      img = Nifti1Image(data, affine)
  
      filename = testing.write_imgs_to_path(
          img, file_path=tmp_path, create_files=True
      )
      filename = Path(filename)
      resample_img(
          filename, target_affine=affine, interpolation="nearest"
      )
  
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 37 for calling a global function with example usage: test_resample_input(affine_eye, shape, rng, tmp_path) without return types