code: def patch_openneuro_dataset(file_list):
      """Add symlinks for files not named according to :term:`BIDS` conventions.
  
      .. warning::
          This function uses a series of hardcoded patterns to generate the
          corrected filenames.
          These patterns are not comprehensive and this function is not
          guaranteed to produce BIDS-compliant files.
  
      Parameters
      ----------
      file_list : :obj:`list` of :obj:`str`
          A list of filenames to update.
      """
      REPLACEMENTS = {
          "_T1w_brainmask": "_desc-brain_mask",
          "_T1w_preproc": "_desc-preproc_T1w",
          "_T1w_space-MNI152NLin2009cAsym_brainmask": "_space-MNI152NLin2009cAsym_desc-brain_mask",  # noqa 501
          "_T1w_space-MNI152NLin2009cAsym_class-": "_space-MNI152NLin2009cAsym_label-",  # noqa 501
          "_T1w_space-MNI152NLin2009cAsym_preproc": "_space-MNI152NLin2009cAsym_desc-preproc_T1w",  # noqa 501
          "_bold_confounds": "_desc-confounds_regressors",
          "_bold_space-MNI152NLin2009cAsym_brainmask": "_space-MNI152NLin2009cAsym_desc-brain_mask",  # noqa 501
          "_bold_space-MNI152NLin2009cAsym_preproc": "_space-MNI152NLin2009cAsym_desc-preproc_bold",  # noqa 501
      }
  
      # Create a symlink if a file with the modified filename does not exist
      for old_pattern, new_pattern in REPLACEMENTS.items():
          for name in file_list:
              if old_pattern in name:
                  new_name = name.replace(old_pattern, new_pattern)
                  if not os.path.exists(new_name):
                      os.symlink(name, new_name)
  
imports: import fnmatch
  import glob
  import json
  import numbers
  import os
  import re
  import warnings
  from io import BytesIO
  from pathlib import Path
  import nibabel
  import nibabel
  import numpy
  import pandas
  from scipy.io import loadmat
  from sklearn.utils import Bunch
  from nilearn.image import get_data
  from .._utils import check_niimg, fill_doc
  from .._utils.numpy_conversions import csv_to_array
  from ._utils import fetch_files, fetch_single_file, filter_columns, get_dataset_descr, get_dataset_dir, read_md5_sum_file, tree, uncompress_file
label_desc: Use image node_id 27 for calling a global function with example usage: patch_openneuro_dataset(file_list) without return types