code: def forward_ets(fitted_model, y):
      return ets_f(y=y, m=fitted_model["m"], model=fitted_model)
  
imports: import math
  from collections import namedtuple
  from typing import Tuple
  import numpy
  from numba import njit
  from numba.typed import List
  from statsmodels.tsa.seasonal import seasonal_decompose
  from .utils import _calculate_intervals, CACHE, NOGIL
label_desc: Use image node_id 27 for calling a global function with example usage: forward_ets(fitted_model, y) and returns: ets_f