code: def random_stable(stability, skew_scale_loc_shape):
      skew = dist.Uniform(-1, 1).sample(skew_scale_loc_shape)
      scale = torch.rand(skew_scale_loc_shape).exp()
      loc = torch.randn(skew_scale_loc_shape)
      return dist.Stable(stability, skew, scale, loc)
  
imports: import logging
  import operator
  from functools import reduce
  import opt_einsum
  import pytest
  import torch
  import pyro
  import pyro.distributions
  from pyro.distributions.hmm import _sequential_gamma_gaussian_tensordot, _sequential_logmatmulexp
  from pyro.distributions.util import broadcast_shape
  from pyro.infer import TraceEnum_ELBO, config_enumerate
  from pyro.ops.gamma_gaussian import gamma_and_mvn_to_gamma_gaussian, gamma_gaussian_tensordot, matrix_and_mvn_to_gamma_gaussian
  from pyro.ops.gaussian import gaussian_tensordot, matrix_and_mvn_to_gaussian, mvn_to_gaussian
  from pyro.ops.indexing import Vindex
  from tests.common import assert_close
  from tests.ops.gamma_gaussian import assert_close_gamma_gaussian, random_gamma, random_gamma_gaussian
  from tests.ops.gaussian import random_mvn
label_desc: Use image node_id 19 for calling a global function with example usage: random_stable(stability, skew_scale_loc_shape) and returns: dist