code: def test_connected_label_regions_connect_diag_false(labels_img):
      labels_data = get_data(labels_img)
      n_labels_without_region_extraction = len(np.unique(labels_data))
  
      ext_reg_without_connect_diag = connected_label_regions(
          labels_img, connect_diag=False
      )
  
      data_wo_connect_diag = get_data(ext_reg_without_connect_diag)
      n_labels_wo_connect_diag = len(np.unique(data_wo_connect_diag))
      assert (
          n_labels_wo_connect_diag > n_labels_without_region_extraction
      )
  
imports: import numpy
  import pytest
  from nibabel import Nifti1Image
  from scipy.ndimage import label
  from nilearn._utils.data_gen import generate_labeled_regions, generate_maps
  from nilearn._utils.exceptions import DimensionError
  from nilearn.conftest import _affine_eye, _img_4d_zeros, _shape_3d_default
  from nilearn.image import get_data
  from nilearn.regions import RegionExtractor, connected_label_regions, connected_regions
  from nilearn.regions.region_extractor import _remove_small_regions, _threshold_maps_ratio
label_desc: Use image node_id 24 for calling a global function with example usage: test_connected_label_regions_connect_diag_false(labels_img) without return types