code: def __init__(
      self,
      config,
      id_list,
      quantiles,
      num_seasonalities_modelled,
      n_forecasts,
      device,
  ):
      super().__init__(
          config=config,
          n_forecasts=n_forecasts,
          num_seasonalities_modelled=num_seasonalities_modelled,
          quantiles=quantiles,
          id_list=id_list,
          device=device,
      )
  
file_path: neural_prophet/neuralprophet/components/seasonality/fourier.py
imports: from abc import abstractmethod
  import torch
  import torch.nn
  from neuralprophet import utils
  from neuralprophet.components.seasonality import Seasonality
  from neuralprophet.utils_torch import init_parameter
label_desc: Use image node_id 1 to create a new GlobalFourierSeasonality object from inherited base classes: FourierSeasonality with example: obj = GlobalFourierSeasonality(config, id_list, quantiles, num_seasonalities_modelled, n_forecasts, device)