code: def test_expand_error(dist, initial_shape, proposed_shape, default):
      for idx in range(dist.get_num_test_data()):
          small = dist.pyro_dist(**dist.get_dist_params(idx))
          if default:
              large = TorchDistribution.expand(
                  small, initial_shape + small.batch_shape
              )
          else:
              with xfail_if_not_implemented():
                  large = small.expand(
                      torch.Size(initial_shape) + small.batch_shape
                  )
          proposed_batch_shape = (
              torch.Size(proposed_shape) + small.batch_shape
          )
          with pytest.raises((RuntimeError, ValueError)):
              large.expand(proposed_batch_shape)
  
imports: import numpy
  import pytest
  import torch
  import pyro
  import pyro.distributions
  from pyro.distributions import TorchDistribution
  from pyro.distributions.testing.gof import auto_goodness_of_fit
  from pyro.distributions.util import broadcast_shape
  from tests.common import TEST_FAILURE_RATE, assert_close, assert_equal, xfail_if_not_implemented
label_desc: Use image node_id 23 for calling a global function with example usage: test_expand_error(dist, initial_shape, proposed_shape, default) without return types