code: def _normalize(xs, num: float):
      """Scale values of ``xs`` to [-0.5, 0.5]."""
  
      return np.asarray(xs) / (num - 1) - 0.5
  
imports: from typing import Any, Callable, Dict, List
  import numpy
  import pandas
  from pandas.tseries import offsets
  from pandas.tseries.frequencies import to_offset
  from gluonts.pydantic import BaseModel
label_desc: Use image node_id 1 for calling a global function with example usage: _normalize(xs, num) and returns: unknown