code: def random_stable(shape):
      stability = dist.Uniform(1.4, 1.9).sample(shape)
      skew = dist.Uniform(-1, 1).sample(shape)
      scale = torch.rand(shape).exp()
      loc = torch.randn(shape)
      return dist.Stable(stability, skew, scale, loc)
  
imports: import pytest
  import torch
  import pyro
  import pyro.distributions
  import pyro.poutine
  from pyro.infer import Predictive, Trace_ELBO
  from pyro.infer.autoguide import AutoDiagonalNormal
  from pyro.infer.mcmc.api import MCMC
  from pyro.infer.mcmc.hmc import HMC
  from pyro.infer.reparam import ConjugateReparam, LinearHMMReparam, StableReparam
  from tests.common import assert_close
  from tests.ops.gaussian import random_mvn
  from .util import check_init_reparam
label_desc: Use image node_id 5 for calling a global function with example usage: random_stable(shape) and returns: dist