code: def sph_harm_prefactor(k, m):
      return (
          (2 * k + 1)
          * np.math.factorial(k - abs(m))
          / (4 * np.pi * np.math.factorial(k + abs(m)))
      ) ** 0.5
  
imports: import numpy
  from scipy.optimize import brentq
  from scipy import special
  import torch
  from math import pi
  import sympy
label_desc: Use image node_id 5 for calling a global function with example usage: sph_harm_prefactor(k, m) and returns: unknown