code: def _quantiles(level):
      level = np.asarray(level)
      z = norm.ppf(0.5 + level / 200)
      return z
  
file_path: statsforecast/statsforecast/utils.py
imports: from typing import Dict
  import math
  import os
  import warnings
  import numpy
  import pandas
  from scipy.stats import norm
  from utilsforecast.compat import DataFrame
  from utilsforecast.data import generate_series
label_desc: Use image node_id 6 for calling a global function with example usage: _quantiles(level) and returns: z