code: def __init__(
      self,
      config,
      id_list,
      quantiles,
      num_trends_modelled,
      n_forecasts,
      device,
  ):
      super().__init__(
          config=config,
          n_forecasts=n_forecasts,
          num_trends_modelled=num_trends_modelled,
          quantiles=quantiles,
          id_list=id_list,
          device=device,
      )
  
imports: import numpy
  import torch
  import torch.nn
  from neuralprophet.components.trend import Trend
  from neuralprophet.utils_torch import init_parameter
label_desc: Use image node_id 1 to create a new GlobalPiecewiseLinearTrend object from inherited base classes: PiecewiseLinearTrend with example: obj = GlobalPiecewiseLinearTrend(config, id_list, quantiles, num_trends_modelled, n_forecasts, device)