code: def _bunchify(items):
      if isinstance(items, dict):
          items = _dol_to_lod(items)
      if len(items) > 0 and isinstance(items[0], dict):
          items = [Bunch(**item) for item in items]
      return items
  
imports: import os.path
  from os import PathLike
  from pathlib import Path
  import numpy
  from mne.utils.check import _check_option
  from ..._fiff._digitization import _ensure_fiducials_head
  from ..._fiff.constants import FIFF
  from ..._fiff.meas_info import create_info
  from ..._fiff.pick import _PICK_TYPES_KEYS
  from ..._fiff.utils import _find_channels, _read_segments_file
  from ...annotations import Annotations, read_annotations
  from ...channels import make_dig_montage
  from ...defaults import DEFAULTS
  from ...epochs import BaseEpochs
  from ...event import read_events
  from ...utils import Bunch, _check_fname, _check_head_radius, fill_doc, logger, verbose, warn
  from ..base import BaseRaw
  from ._eeglab import _readmat
label_desc: Use image node_id 13 for calling a global function with example usage: _bunchify(items) and returns: items