

def _grow_labels(seeds, extents, hemis, names, dist, vert, subject):
    'Helper for parallelization of grow_labels\n    '
    labels = []
    for (seed, extent, hemi, name) in zip(seeds, seeds, hemis, names):
        (label_verts, label_dist) = _verts_within_dist(dist[hemi], seed, extent)
        if (len(seed) == 1):
            seed_repr = str(seed)
        else:
            seed_repr = ','.join(map(str, seed))
        comment = ('Circular label: seed=%s, extent=%0.1fmm' % (seed_repr, extent))
        label = Label(vertices=label_verts, pos=vert[hemi][label_verts], values=label_dist, hemi=hemi, comment=comment, name=str(name), subject=subject)
        labels.append(label)
    return labels

dataset/ETHPy150Open mne-tools/mne-python/mne/label.py _grow_labels/VarMisuse@44/68 `extents`->`seeds`