code: def normal_model():
      normal_0 = pyro.sample(
          "normal_0", dist.Normal(torch.zeros(1), torch.ones(1))
      )
      return [normal_0]
  
file_path: pyro/tests/poutine/test_properties.py
imports: import pytest
  import torch
  import pyro
  import pyro.distributions
  import pyro.poutine
  from pyro.util import set_rng_seed
  from tests.common import assert_equal
label_desc: Use image node_id 3 for calling a global function with example usage: normal_model() and returns: list