code: def test_resampling_with_affine(affine_eye, shape, angle, rng):
      """Test resampling with a given rotation part of the affine.
  
      Check on 3D and 4D data.
      """
      data = rng.integers(4, size=shape, dtype="int32")
      rot = rotation(0, angle)
  
      rot_img = resample_img(
          Nifti1Image(data, affine_eye),
          target_affine=rot,
          interpolation="nearest",
      )
  
      assert np.max(data) == np.max(get_data(rot_img))
      assert get_data(rot_img).dtype == data.dtype
  
      # We take the same rotation logic as above and test with nonnative endian
      # data as input
      img = Nifti1Image(data.astype(">f8"), affine_eye)
      rot = rotation(0, angle)
  
      rot_img = resample_img(
          img, target_affine=rot, interpolation="nearest"
      )
  
      assert np.max(data) == np.max(get_data(rot_img))
  
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 9 for calling a global function with example usage: test_resampling_with_affine(affine_eye, shape, angle, rng) without return types