code: def _merge_probabilistic_maps_juelich(atlas_data, names):
      """Handle probabilistic juelich atlases when symmetric_split=False.
  
      Helper function for fetch_atlas_juelich.
  
      In this situation, we need to merge labels and maps corresponding
      to left and right regions.
      """
      new_names = np.unique(
          [re.sub(r" (L|R)$", "", name) for name in names]
      )
      new_name_to_idx = {k: v - 1 for v, k in enumerate(new_names)}
      new_atlas_data = np.zeros(
          (*atlas_data.shape[:3], len(new_names) - 1)
      )
      for i, name in enumerate(names):
          if name != "Background":
              new_name = re.sub(r" (L|R)$", "", name)
              new_atlas_data[
                  ..., new_name_to_idx[new_name]
              ] += atlas_data[..., i - 1]
      return new_atlas_data, new_names
  
imports: import json
  import os
  import re
  import shutil
  import warnings
  import xml.etree.ElementTree
  from pathlib import Path
  from tempfile import mkdtemp
  import nibabel
  import numpy
  import pandas
  from sklearn.utils import Bunch
  from .._utils import check_niimg, fill_doc
  from ..image import get_data, new_img_like, reorder_img
  from ._utils import fetch_files, get_dataset_descr, get_dataset_dir
label_desc: Use image node_id 7 for calling a global function with example usage: _merge_probabilistic_maps_juelich(atlas_data, names) and returns: new_atlas_data,  new_names