code: def __init__(self, base_distribution, transforms):
      super().__init__(base_distribution, transforms)
  
file_path: gluonts/src/gluonts/nursery/robust-mts-attack/pts/distributions/piecewise_linear.py
imports: import torch
  import torch.nn.functional
  from torch.distributions import constraints, NegativeBinomial, Poisson, Distribution, TransformedDistribution, AffineTransform
  from torch.distributions.utils import broadcast_all, lazy_property
  from .utils import broadcast_shape
label_desc: Use image node_id 1 to create a new TransformedPiecewiseLinear object from inherited base classes: TransformedDistribution with example: obj = TransformedPiecewiseLinear(base_distribution, transforms)