code: def __init__(self, base_dist, batch_shape=torch.Size()):
      self.base_dist = base_dist
      super().__init__(base_dist.batch_shape, base_dist.event_shape)
      # adjust batch shape
      self.expand(batch_shape)
  
imports: import warnings
  from collections import OrderedDict
  from typing import Callable
  import torch
  from torch.distributions.kl import kl_divergence, register_kl
  import pyro.distributions.torch
  from .None import constraints
  from .distribution import Distribution
  from .score_parts import ScoreParts
  from .util import broadcast_shape, scale_and_mask
label_desc: Use image node_id 1 to create a new ExpandedDistribution object from inherited base classes: TorchDistribution with example: obj = ExpandedDistribution(base_dist, batch_shape)