code: def _create_raw_for_edf_tests(stim_channel_index=None):
      rng = np.random.RandomState(12345)
      ch_types = [
          "eeg",
          "eeg",
          "ecog",
          "ecog",
          "seeg",
          "eog",
          "ecg",
          "emg",
          "dbs",
          "bio",
      ]
      if stim_channel_index is not None:
          ch_types.insert(stim_channel_index, "stim")
      ch_names = np.arange(len(ch_types)).astype(str).tolist()
      info = create_info(ch_names, sfreq=1000, ch_types=ch_types)
      data = rng.random(size=(len(ch_names), 2000)) * 1e-5
      return RawArray(data, info)
  
imports: from contextlib import nullcontext
  from datetime import datetime, timezone
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal
  from mne import Annotations, Epochs, create_info, read_epochs_eeglab, read_evokeds, read_evokeds_mff
  from mne.datasets import misc, testing
  from mne.export import export_evokeds, export_evokeds_mff
  from mne.fixes import _compare_version
  from mne.io import RawArray, read_raw_brainvision, read_raw_edf, read_raw_eeglab, read_raw_fif
  from mne.tests.test_epochs import _get_data
  from mne.utils import _check_edfio_installed, _record_warnings, _resource_path, object_diff
label_desc: Use image node_id 3 for calling a global function with example usage: _create_raw_for_edf_tests(stim_channel_index) and returns: RawArray