code: def _assert_reorder(cov_new, cov_orig, order):
      """Check that we get the same result under reordering."""
      inv_order = np.argsort(order)
      assert_array_equal(
          [cov_new["names"][ii] for ii in inv_order], cov_orig["names"]
      )
      assert_allclose(
          cov_new["data"][inv_order][:, inv_order],
          cov_orig["data"],
          atol=1e-20,
      )
  
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 4 for calling a global function with example usage: _assert_reorder(cov_new, cov_orig, order) without return types