code: def get_future_regressors(
      config,
      id_list,
      quantiles,
      n_forecasts,
      device,
      config_trend_none_bool,
  ):
      """
      Router for all future regressor classes.
      """
      args = {
          "config": config,
          "id_list": id_list,
          "quantiles": quantiles,
          "n_forecasts": n_forecasts,
          "device": device,
          "config_trend_none_bool": config_trend_none_bool,
      }
  
      return LinearFutureRegressors(**args)
  
file_path: neural_prophet/neuralprophet/components/router.py
imports: from neuralprophet.components.future_regressors.linear import LinearFutureRegressors
  from neuralprophet.components.seasonality.fourier import GlobalFourierSeasonality, LocalFourierSeasonality
  from neuralprophet.components.trend.linear import GlobalLinearTrend, LocalLinearTrend
  from neuralprophet.components.trend.piecewise_linear import GlobalPiecewiseLinearTrend, LocalPiecewiseLinearTrend
  from neuralprophet.components.trend.static import StaticTrend
label_desc: Use image node_id 2 for calling a global function with example usage: get_future_regressors(config, id_list, quantiles, n_forecasts, device, config_trend_none_bool) and returns: LinearFutureRegressors