'Find all arguments needed for the scaling worker.'

def get_scaling_job(self, subject_to, skip_fiducials):

    subjects_dir = self.mri.subjects_dir
    subject_from = self.mri.subject
    bem_names = []
    if (self.can_prepare_bem_model and self.prepare_bem_model):
        pattern = bem_fname.format(subjects_dir=subjects_dir, subject=subject_from, name='(.+-bem)')
        (bem_dir, pattern) = os.path.split(pattern)
        for filename in os.listdir(bem_dir):
            match = re.match(pattern, filename)
            if match:
                bem_names.append(match.group(1))
    return (subjects_dir, subject_from, subject_to, self.scale, skip_fiducials, self.scale_labels, self.copy_annot, bem_names)
