code: def enumerate_support(self, expand=True):
      samples = self.base_dist.enumerate_support(expand=False)
      enum_shape = samples.shape[:1]
      samples = samples.reshape(
          enum_shape + (1,) * len(self.batch_shape)
      )
      if expand:
          samples = samples.expand(enum_shape + self.batch_shape)
      return samples
  
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 12 for calling the ExpandedDistribution obj's underlying member method code with example usage: obj.enumerate_support(expand) and returns: samples