code: def test_invalids_extract_types_in_connected_regions(
      dummy_map, invalid_extract_type
  ):
      valid_names = ["connected_components", "local_regions"]
      message = f"'extract_type' should be {valid_names}"
      with pytest.raises(ValueError, match=message):
          connected_regions(
              dummy_map, extract_type=invalid_extract_type
          )
  
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 10 for calling a global function with example usage: test_invalids_extract_types_in_connected_regions(dummy_map, invalid_extract_type) without return types