code: def test_throw_exception_on_cellarray(version, type):
      """Test for a meaningful exception when the data is a cell array."""
      fname = get_data_paths("cellarray") / f"{type}_{version}.mat"
      info = get_raw_info("CNT")
      with pytest.raises(
          RuntimeError,
          match="Loading of data in cell arrays " "is not supported",
      ):
          if type == "averaged":
              mne.read_evoked_fieldtrip(fname, info)
          elif type == "epoched":
              mne.read_epochs_fieldtrip(fname, info)
          elif type == "raw":
              mne.io.read_raw_fieldtrip(fname, info)
  
imports: import copy
  import itertools
  from contextlib import nullcontext
  import numpy
  import pytest
  import mne
  from mne.datasets import testing
  from mne.io import read_raw_fieldtrip
  from mne.io.fieldtrip.tests.helpers import assert_warning_in_record, check_data, check_info_fields, get_data_paths, get_epochs, get_evoked, get_raw_data, get_raw_info, pandas_not_found_warning_msg
  from mne.io.fieldtrip.utils import NOINFO_WARNING, _create_events
  from mne.io.tests.test_raw import _test_raw_reader
  from mne.utils import _check_pandas_installed, _record_warnings
label_desc: Use image node_id 8 for calling a global function with example usage: test_throw_exception_on_cellarray(version, type) without return types