code: def f0_vq_n_units(self):
      return self.config["f0_vq_n_units"]
  
imports: import json
  import logging
  import os
  import random
  from pathlib import Path
  import numpy
  import torch
  import torch.utils.data
  from .None import data_utils
  from fairseq.data.fairseq_dataset import FairseqDataset
label_desc: Use image node_id 10 for calling the ExpressiveCodeDataConfig obj's underlying member method code with example usage: obj.f0_vq_n_units() and returns: self