code: def aps13_fp(x):
      if x == 0:
          return 0
      y = 1 / x**2
      if y > _MAX_EXPABLE:
          return 0
      return (1 + 2 / x**2) / np.exp(y)
  
imports: from random import random
  import numpy
  from scipy.optimize import zeros
label_desc: Use image node_id 50 for calling a global function with example usage: aps13_fp(x) and returns: unknown, int, int