docstr: pre-computed f0 statistics path
docstr_tok: ["pre-computed","f0","statistics","path"]
code: def f0_stats(self):
      """pre-computed f0 statistics path"""
      return self.config.get("f0_stats", None)
  
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 6 for calling the ExpressiveCodeDataConfig obj's underlying member method code with example usage: obj.f0_stats() and returns: self