MRG, MAINT: Clean up VTK9 offset array

[larsoner]

Okay for you @GuillaumeFavelier ? This seems to be the right way to fix it (?) and it seems to work in a simple testing example:

import os.path as op
import mne

data_path = mne.datasets.sample.data_path()
sample_dir = op.join(data_path, 'MEG', 'sample')
subjects_dir = op.join(data_path, 'subjects')
inv = mne.minimum_norm.read_inverse_operator(op.join(
    sample_dir, 'sample_audvis-meg-oct-6-meg-inv.fif'))
evoked = mne.read_evokeds(op.join(sample_dir, 'sample_audvis-ave.fif'))[0]
evoked.apply_baseline((None, 0))
stc = mne.minimum_norm.apply_inverse(
    evoked, inv, method='dSPM', verbose='debug', pick_ori='vector')  # 'vector')
initial_time = 0.1

size = (800, 400)
with mne.viz.use_3d_backend('pyvista'):
    brain = stc.plot(subjects_dir=subjects_dir, initial_time=initial_time,
                     clim='auto', views='lat', hemi='lh',
                     smoothing_steps='nearest', verbose=True,
                     size=size, background='k')

[GuillaumeFavelier]

Yes, okay for me 👍

[larsoner]

Output looks correct

https://20879-1301584-gh.circle-artifacts.com/0/dev/auto_tutorials/source-modeling/plot_mne_dspm_source_localization.html#dipole-orientations