code: def forward_ces(fitted_model, y):
      m = fitted_model["m"]
      model = fitted_model["seasontype"]
      alpha_0 = fitted_model["par"]["alpha_0"]
      alpha_1 = fitted_model["par"]["alpha_1"]
      beta_0 = fitted_model["par"]["beta_0"]
      beta_1 = fitted_model["par"]["beta_1"]
      return auto_ces(
          y=y,
          m=m,
          model=model,
          alpha_0=alpha_0,
          alpha_1=alpha_1,
          beta_0=beta_0,
          beta_1=beta_1,
      )
  
imports: import math
  from typing import Tuple
  import numpy
  from numba import njit
  from statsmodels.tsa.seasonal import seasonal_decompose
  from .ets import restrict_to_bounds, results
  from .utils import CACHE, NOGIL
label_desc: Use image node_id 17 for calling a global function with example usage: forward_ces(fitted_model, y) and returns: auto_ces