code: def test_make_inverse_operator_vector(evoked, noise_cov):
      """Test MNE inverse computation (vector result)."""
      fwd_surf = read_forward_solution_meg(fname_fwd, surf_ori=True)
      fwd = read_forward_solution_meg(fname_fwd, surf_ori=False)
  
      # Make different version of the inverse operator
      inv_1 = make_inverse_operator(
          evoked.info, fwd, noise_cov, loose=1
      )
      inv_2 = make_inverse_operator(
          evoked.info, fwd_surf, noise_cov, depth=None, use_cps=True
      )
      inv_4 = make_inverse_operator(
          evoked.info, fwd, noise_cov, loose=0.2, depth=None
      )
  
      # Apply the inverse operators and check the result
      for ii, inv in enumerate((inv_1, inv_2, inv_4)):
          # Don't do eLORETA here as it will be quite slow
          methods = ["MNE", "dSPM", "sLORETA"] if ii < 2 else ["MNE"]
          for method in methods:
              stc = apply_inverse(evoked, inv, method=method)
              stc_vec = apply_inverse(
                  evoked, inv, pick_ori="vector", method=method
              )
              assert_allclose(stc.data, stc_vec.magnitude().data)
  
      # When computing with vector fields, computing the difference between two
      # evokeds and then performing the inverse should yield the same result as
      # computing the difference between the inverses.
      evoked0 = read_evokeds(
          fname_data, condition=0, baseline=(None, 0)
      )
      evoked0.crop(0, 0.2)
      evoked1 = read_evokeds(
          fname_data, condition=1, baseline=(None, 0)
      )
      evoked1.crop(0, 0.2)
      diff = combine_evoked((evoked0, evoked1), [1, -1])
      stc_diff = apply_inverse(diff, inv_1, method="MNE")
      stc_diff_vec = apply_inverse(
          diff, inv_1, method="MNE", pick_ori="vector"
      )
      stc_vec0 = apply_inverse(
          evoked0, inv_1, method="MNE", pick_ori="vector"
      )
      stc_vec1 = apply_inverse(
          evoked1, inv_1, method="MNE", pick_ori="vector"
      )
      assert_allclose(
          stc_diff_vec.data, (stc_vec0 - stc_vec1).data, atol=1e-20
      )
      assert_allclose(
          stc_diff.data,
          (stc_vec0 - stc_vec1).magnitude().data,
          atol=1e-20,
      )
  
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 21 for calling a global function with example usage: test_make_inverse_operator_vector(evoked, noise_cov) without return types