code: def inverse_tunnel(xtf, ytf, aspiration, tabulist):
      """Calculate the function value after a tunneling phase step."""
      denominator = 1.0
  
      for tabu in tabulist:
          denominator = denominator * np.sqrt(np.sum((xtf - tabu) ** 2))
  
      numerator = ytf * denominator
      yf = aspiration + np.sqrt(numerator)
  
      return yf
  
imports: import numpy
  from scipy.optimize import minimize
label_desc: Use image node_id 4 for calling a global function with example usage: inverse_tunnel(xtf, ytf, aspiration, tabulist) and returns: yf