code: def test_constraints(shape, constraint_):
      module = PyroModule()
      module.x = PyroParam(torch.full(shape, 1e-4), constraint_)
  
      assert isinstance(module.x, torch.Tensor)
      assert isinstance(module.x_unconstrained, nn.Parameter)
      assert module.x.shape == shape
      assert constraint_.check(module.x).all()
  
      module.x = torch.randn(shape).exp() * 1e-6
      assert isinstance(module.x_unconstrained, nn.Parameter)
      assert isinstance(module.x, torch.Tensor)
      assert module.x.shape == shape
      assert constraint_.check(module.x).all()
  
      assert isinstance(module.x_unconstrained, torch.Tensor)
      y = module.x_unconstrained.data.normal_()
      assert_equal(module.x.data, transform_to(constraint_)(y))
      assert constraint_.check(module.x).all()
  
      del module.x
      assert "x" not in module._pyro_params
      assert not hasattr(module, "x")
      assert not hasattr(module, "x_unconstrained")
  
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 10 for calling a global function with example usage: test_constraints(shape, constraint_) without return types