code: def _make_resampling_test_data():
      rng = _rng()
      shape = SHAPE
      affine = _affine_eye()
      data = rng.integers(0, 10, shape, dtype="int32")
      img = Nifti1Image(data, affine)
      return img, affine, data
  
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 1 for calling a global function with example usage: _make_resampling_test_data() and returns: img,  affine,  data