code: def test_multi_pca_score_gt_0_lt_1(mask_img):
      """Test that MultiPCA score is between zero and one."""
      data, _, _, _ = _make_multi_pca_test_data(with_activation=False)
  
      multi_pca = _MultiPCA(
          mask=mask_img, random_state=0, memory_level=0, n_components=3
      )
      multi_pca.fit(data)
      s = multi_pca.score(data)
  
      assert np.all(s <= 1)
      assert np.all(s >= 0)
  
imports: import numpy
  import pytest
  from nibabel import Nifti1Image
  from numpy.testing import assert_almost_equal
  from nilearn._utils.testing import write_imgs_to_path
  from nilearn.conftest import _affine_eye, _rng
  from nilearn.decomposition._multi_pca import _MultiPCA
  from nilearn.maskers import MultiNiftiMasker, NiftiMasker
label_desc: Use image node_id 13 for calling a global function with example usage: test_multi_pca_score_gt_0_lt_1(mask_img) without return types