code: def niftimapsmasker_inputs(affine_eye):
      n_regions = 9
      shape = (8, 8, 8)
      label_img, _ = generate_maps(
          shape, n_regions=n_regions, affine=affine_eye
      )
      return {"maps_img": label_img}
  
imports: from collections import Counter
  import numpy
  import pytest
  from nibabel import Nifti1Image
  from numpy.testing import assert_almost_equal
  from nilearn._utils.data_gen import generate_fake_fmri, generate_labeled_regions, generate_maps, generate_random_img
  from nilearn.image import get_data, new_img_like
  from nilearn.maskers import MultiNiftiLabelsMasker, MultiNiftiMapsMasker, MultiNiftiMasker, NiftiLabelsMasker, NiftiMapsMasker, NiftiMasker, NiftiSpheresMasker
label_desc: Use image node_id 4 for calling a global function with example usage: niftimapsmasker_inputs(affine_eye) and returns: dict