code: def test_make_inverse_operator_bads(evoked, noise_cov):
      """Test MNE inverse computation given a mismatch of bad channels."""
      fwd_op = read_forward_solution_meg(fname_fwd, surf_ori=True)
      assert evoked.info["bads"] == noise_cov["bads"]
      assert evoked.info["bads"] == fwd_op["info"]["bads"] + ["EEG 053"]
  
      # one fewer bad in evoked than cov
      bad = evoked.info["bads"].pop()
      inv_ = make_inverse_operator(
          evoked.info, fwd_op, noise_cov, loose=1.0
      )
      union_good = set(noise_cov["names"]) & set(evoked.ch_names)
      union_bads = set(noise_cov["bads"]) & set(evoked.info["bads"])
      evoked.info["bads"].append(bad)
  
      assert len(set(inv_["info"]["ch_names"]) - union_good) == 0
      assert len(set(inv_["info"]["bads"]) - union_bads) == 0
  
imports: import copy
  import re
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_array_less, assert_equal
  from scipy import sparse
  import mne
  from mne import Covariance, EvokedArray, SourceEstimate, combine_evoked, compute_raw_covariance, convert_forward_solution, make_ad_hoc_cov, make_forward_solution, make_sphere_model, pick_channels_forward, pick_types, pick_types_forward, read_cov, read_evokeds, read_forward_solution
  from mne.datasets import testing
  from mne.epochs import Epochs, EpochsArray, make_fixed_length_epochs
  from mne.event import read_events
  from mne.forward import apply_forward, is_fixed_orient, restrict_forward_to_stc
  from mne.io import read_info, read_raw_fif
  from mne.label import label_sign_flip, read_label
  from mne.minimum_norm import INVERSE_METHODS, apply_inverse, apply_inverse_cov, apply_inverse_epochs, apply_inverse_raw, apply_inverse_tfr_epochs, compute_rank_inverse, make_inverse_operator, prepare_inverse_operator, read_inverse_operator, write_inverse_operator
  from mne.source_estimate import VolSourceEstimate, read_source_estimate
  from mne.source_space._source_space import _get_src_nn
  from mne.surface import _normal_orth
  from mne.time_frequency import EpochsTFR
  from mne.utils import _record_warnings, catch_logging
label_desc: Use image node_id 32 for calling a global function with example usage: test_make_inverse_operator_bads(evoked, noise_cov) without return types