code: def __init__(self, base_dist):
      assert isinstance(base_dist, torch.distributions.Distribution)
      self.base_dist = base_dist
  
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 ConstantConditionalDistribution object from inherited base classes: ConditionalDistribution with example: obj = ConstantConditionalDistribution(base_dist)