code: def test_shapes(batch_shape):
      log_factor = torch.randn(batch_shape)
  
      d = dist.Unit(log_factor=log_factor)
      x = d.sample()
      assert x.shape == batch_shape + (0,)
      assert (d.log_prob(x) == log_factor).all()
  
imports: import pytest
  import torch
  import pyro.distributions
  from tests.common import assert_equal
label_desc: Use image node_id 1 for calling a global function with example usage: test_shapes(batch_shape) without return types