code: def symmetric_total_percentage_error(values, estimates):
      """Compute STPE
  
      Parameters
      ----------
          values : np.array
              Input values
          estimates : np.array
              Respective estimates of input values
  
      Returns
      -------
          float
              Symmetric total percentage error
      """
      sum_abs_diff = np.sum(np.abs(estimates - values))
      sum_abs = np.sum(np.abs(estimates) + np.abs(values))
      return 100 * sum_abs_diff / (10e-9 + sum_abs)
  
imports: from __future__ import annotations
  import logging
  import math
  import os
  import sys
  from collections import OrderedDict
  from typing import TYPE_CHECKING, Iterable, Optional, Union
  import numpy
  import pandas
  import pytorch_lightning
  import torch
  from neuralprophet import utils_torch
  from neuralprophet.hdays_utils import get_country_holidays
  from neuralprophet.logger import ProgressBar
label_desc: Use image node_id 11 for calling a global function with example usage: symmetric_total_percentage_error(values, estimates) and returns: unknown