code: def two_cingulum_bundles():
      fname = get_fnames("cb_2")
      res = np.load(fname)
      cb1 = relist_streamlines(res["points"], res["offsets"])
      cb2 = relist_streamlines(res["points2"], res["offsets2"])
      return cb1, cb2
  
imports: import json
  import pickle
  from os.path import join, dirname, exists
  import gzip
  import numpy
  from scipy.sparse import load_npz
  from dipy.core.gradients import GradientTable, gradient_table
  from dipy.core.sphere import Sphere, HemiSphere
  from dipy.data.fetcher import get_fnames, fetch_scil_b0, read_scil_b0, fetch_stanford_hardi, read_stanford_hardi, fetch_stanford_tracks, fetch_taiwan_ntu_dsi, read_taiwan_ntu_dsi, fetch_sherbrooke_3shell, read_sherbrooke_3shell, fetch_isbi2013_2shell, read_isbi2013_2shell, read_stanford_labels, fetch_stanford_labels, fetch_syn_data, read_syn_data, fetch_stanford_t1, read_stanford_t1, fetch_stanford_pve_maps, read_stanford_pve_maps, fetch_bundles_2_subjects, read_bundles_2_subjects, fetch_cenir_multib, read_cenir_multib, fetch_mni_template, read_mni_template, fetch_ivim, read_ivim, fetch_tissue_data, read_tissue_data, fetch_cfin_multib, read_cfin_dwi, read_cfin_t1, fetch_target_tractogram_hcp, fetch_bundle_atlas_hcp842, get_bundle_atlas_hcp842, get_target_tractogram_hcp, get_two_hcp842_bundles, fetch_bundle_fa_hcp, fetch_gold_standard_io, fetch_resdnn_weights, fetch_synb0_weights, fetch_synb0_test, fetch_evac_weights, fetch_evac_test, read_qte_lte_pte, read_DiB_70_lte_pte_ste, read_DiB_217_lte_pte_ste, read_five_af_bundles, fetch_hbn, fetch_ptt_minimal_dataset, fetch_bundle_warp_dataset
  from ..utils.arrfuncs import as_native_array
  from dipy.io.image import load_nifti
  from dipy.tracking.streamline import relist_streamlines
label_desc: Use image node_id 10 for calling a global function with example usage: two_cingulum_bundles() and returns: cb1,  cb2