code: def test_localization_bias_fixed(
      bias_params_fixed, reg, weight_norm, use_cov, depth, lower, upper
  ):
      """Test localization bias for fixed-orientation LCMV."""
      evoked, fwd, noise_cov, data_cov, want = bias_params_fixed
      if not use_cov:
          evoked.pick(picks="grad")
          noise_cov = None
      assert data_cov["data"].shape[0] == len(data_cov["names"])
      loc = apply_lcmv(
          evoked,
          make_lcmv(
              evoked.info,
              fwd,
              data_cov,
              reg,
              noise_cov,
              depth=depth,
              weight_norm=weight_norm,
          ),
      ).data
      loc = np.abs(loc)
      # Compute the percentage of sources for which there is no loc bias:
      perc = (want == np.argmax(loc, axis=0)).mean() * 100
      assert lower <= perc <= upper
  
imports: from contextlib import nullcontext
  from copy import deepcopy
  from inspect import signature
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_array_less
  from scipy import linalg
  from scipy.spatial.distance import cdist
  import mne
  from mne import EvokedArray, VolSourceEstimate, VolVectorSourceEstimate, compute_rank, convert_forward_solution, pick_channels_cov, read_forward_solution, read_vectorview_selection
  from mne._fiff.compensator import set_current_comp
  from mne._fiff.constants import FIFF
  from mne.beamformer import Beamformer, apply_lcmv, apply_lcmv_cov, apply_lcmv_epochs, apply_lcmv_raw, make_dics, make_lcmv, read_beamformer
  from mne.beamformer._compute_beamformer import _prepare_beamformer_input
  from mne.datasets import testing
  from mne.minimum_norm import apply_inverse, make_inverse_operator
  from mne.minimum_norm.tests.test_inverse import _assert_free_ori_match
  from mne.simulation import simulate_evoked
  from mne.transforms import apply_trans, invert_transform
  from mne.utils import _record_warnings, catch_logging, object_diff
label_desc: Use image node_id 9 for calling a global function with example usage: test_localization_bias_fixed(bias_params_fixed, reg, weight_norm, use_cov, depth, lower, upper) without return types