code: def test_brainvision_vectorized_data():
      """Test reading BrainVision data files with vectorized data."""
      with pytest.warns(RuntimeWarning, match="software filter"):
          raw = read_raw_brainvision(vhdr_old_path, preload=True)
  
      assert_array_equal(raw._data.shape, (29, 251))
  
      first_two_samples_all_chs = np.array(
          [
              [+5.22000008e-06, +5.10000000e-06],
              [+2.10000000e-06, +2.27000008e-06],
              [+1.15000000e-06, +1.33000002e-06],
              [+4.00000000e-07, +4.00000000e-07],
              [-3.02999992e-06, -2.82000008e-06],
              [+2.71000004e-06, +2.45000000e-06],
              [+2.41000004e-06, +2.36000004e-06],
              [+1.01999998e-06, +1.18000002e-06],
              [-1.33999996e-06, -1.25000000e-06],
              [-2.60000000e-06, -2.46000004e-06],
              [+6.80000019e-07, +8.00000000e-07],
              [+1.48000002e-06, +1.48999996e-06],
              [+1.61000004e-06, +1.51000004e-06],
              [+7.19999981e-07, +8.60000038e-07],
              [-3.00000000e-07, -4.00000006e-08],
              [-1.20000005e-07, +6.00000024e-08],
              [+8.19999981e-07, +9.89999962e-07],
              [+1.13000002e-06, +1.28000002e-06],
              [+1.08000002e-06, +1.33999996e-06],
              [+2.20000005e-07, +5.69999981e-07],
              [-4.09999990e-07, +4.00000006e-08],
              [+5.19999981e-07, +9.39999962e-07],
              [+1.01000004e-06, +1.51999998e-06],
              [+1.01000004e-06, +1.55000000e-06],
              [-1.43000002e-06, -1.13999996e-06],
              [+3.65000000e-06, +3.65999985e-06],
              [+4.15999985e-06, +3.79000015e-06],
              [+9.26999969e-06, +8.95999985e-06],
              [-7.35999985e-06, -7.18000031e-06],
          ]
      )
  
      assert_allclose(raw._data[:, :2], first_two_samples_all_chs)
  
imports: import datetime
  import re
  import shutil
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_equal
  from mne import concatenate_raws, pick_types, read_annotations
  from mne._fiff.constants import FIFF
  from mne.annotations import events_from_annotations
  from mne.datasets import testing
  from mne.io import read_raw_brainvision, read_raw_fif
  from mne.io.tests.test_raw import _test_raw_reader
  from mne.utils import _stamp_to_dt, object_diff
label_desc: Use image node_id 14 for calling a global function with example usage: test_brainvision_vectorized_data() without return types