code: def temper(i: int, optimize) -> float:
      if optimize:
          return 0.9 * (2 * np.arctan(i / 100) / np.pi) + 1
      else:
          return 1.0
  
imports: from collections import defaultdict, namedtuple
  import warnings
  import numpy
  from numpy.linalg import norm
  import pandas
  from lifelines.exceptions import ConvergenceWarning
  from typing import *
label_desc: Use image node_id 1 for calling a global function with example usage: temper(i, optimize) and returns: unknown, int