code: def raw_epochs_events():
      """Create raw, epochs, and events for tests."""
      raw = (
          read_raw_fif(raw_fname)
          .set_eeg_reference(projection=True)
          .crop(0, 3)
      )
      raw = maxwell_filter(
          raw, regularize=None
      )  # heavily reduce the rank
      assert raw.info["bads"] == []  # no bads
      events = make_fixed_length_events(raw)
      epochs = Epochs(raw, events, tmin=-0.2, tmax=0, preload=True)
      return (raw, epochs, events)
  
imports: import itertools
  import sys
  from inspect import signature
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_equal
  from mne import Epochs, compute_covariance, compute_proj_raw, compute_rank, compute_raw_covariance, create_info, find_events, make_ad_hoc_cov, make_fixed_length_events, merge_events, pick_channels_cov, pick_info, pick_types, read_cov, read_evokeds, write_cov
  from mne._fiff.pick import _DATA_CH_TYPES_SPLIT
  from mne.channels import equalize_channels
  from mne.cov import _auto_low_rank_model, _regularized_covariance, compute_whitener, prepare_noise_cov, regularize, whiten_evoked
  from mne.datasets import testing
  from mne.fixes import _safe_svd
  from mne.io import RawArray, read_info, read_raw_ctf, read_raw_fif
  from mne.preprocessing import maxwell_filter
  from mne.rank import _compute_rank_int
  from mne.utils import _record_warnings, assert_snr, catch_logging
label_desc: Use image node_id 18 for calling a global function with example usage: raw_epochs_events() and returns: raw,  epochs,  events