code: def test_decorator(Model, size):
      model = Model(size)
      for i in range(2):
          trace = poutine.trace(model).get_trace()
          assert set(trace.nodes.keys()) == {
              "_INPUT",
              "x",
              "y",
              "z",
              "s",
              "t",
              "_RETURN",
          }
  
          assert trace.nodes["x"]["type"] == "param"
          assert trace.nodes["y"]["type"] == "param"
          assert trace.nodes["z"]["type"] == "param"
          assert trace.nodes["s"]["type"] == "sample"
          assert trace.nodes["t"]["type"] == "sample"
  
          assert trace.nodes["x"]["value"].shape == (size,)
          assert trace.nodes["y"]["value"].shape == (size,)
          assert trace.nodes["z"]["value"].shape == (size,)
          assert trace.nodes["s"]["value"].shape == ()
          assert trace.nodes["t"]["value"].shape == (size,)
  
imports: import io
  import warnings
  import pytest
  import torch
  from torch import nn
  from torch.distributions import constraints, transform_to
  import pyro
  import pyro.distributions
  from pyro import poutine
  from pyro.infer import SVI, Trace_ELBO
  from pyro.nn.module import PyroModule, PyroParam, PyroSample, clear, to_pyro_module_
  from pyro.optim import Adam
  from tests.common import assert_equal
label_desc: Use image node_id 14 for calling a global function with example usage: test_decorator(Model, size) without return types