code: def __init__(self, base_dist, transforms):
      self.base_dist = (
          base_dist
          if isinstance(base_dist, ConditionalDistribution)
          else ConstantConditionalDistribution(base_dist)
      )
      self.transforms = [
          t
          if isinstance(t, ConditionalTransform)
          else ConstantConditionalTransform(t)
          for t in transforms
      ]
  
imports: from abc import ABC, abstractmethod
  import torch
  import torch.nn
  from .torch import TransformedDistribution
  from .torch_transform import ComposeTransformModule
label_desc: Use image node_id 1 to create a new ConditionalTransformedDistribution object from inherited base classes: ConditionalDistribution with example: obj = ConditionalTransformedDistribution(base_dist, transforms)