code: def test_make_inverse_operator_diag(
      evoked, noise_cov, tmp_path, azure_windows
  ):
      """Test MNE inverse computation with diagonal noise cov."""
      noise_cov = noise_cov.as_diag()
      fwd_op = convert_forward_solution(
          read_forward_solution(fname_fwd), surf_ori=True
      )
      inv_op = make_inverse_operator(
          evoked.info, fwd_op, noise_cov, loose=0.2, depth=0.8
      )
      _compare_io(inv_op, tmp_path=tmp_path)
      inverse_operator_diag = read_inverse_operator(fname_inv_meeg_diag)
      # This one is pretty bad, and for some reason it's worse on Azure Windows
      ctol = 0.75 if azure_windows else 0.99
      _compare_inverses_approx(
          inverse_operator_diag,
          inv_op,
          evoked,
          rtol=1e-1,
          atol=1e-1,
          ctol=ctol,
          check_K=False,
      )
      # Inverse has 366 channels - 6 proj = 360
      assert compute_rank_inverse(inverse_operator_diag) == 360
  
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 22 for calling a global function with example usage: test_make_inverse_operator_diag(evoked, noise_cov, tmp_path, azure_windows) without return types