code: def test_mean(stability, skew, scale, coords):
      loc = torch.randn(10)
      d = dist.Stable(stability, skew, scale, loc, coords=coords)
      if stability <= 1:
          assert torch.isnan(d.mean).all()
      else:
          expected = d.sample((100000,)).mean(0)
          assert_close(d.mean, expected, atol=0.1)
  
file_path: pyro/tests/distributions/test_stable.py
imports: import warnings
  import pytest
  import torch
  from scipy.integrate.quadpack import IntegrationWarning
  from scipy.stats import ks_2samp, kstest, levy_stable
  import pyro.distributions
  import pyro.distributions.stable
  from tests.common import assert_close
label_desc: Use image node_id 6 for calling a global function with example usage: test_mean(stability, skew, scale, coords) without return types