code: def test_walkers_independent_scaled():
      # Some of these scales will overflow if squared, hee hee
      scales = np.array([1, 1e10, 1e100, 1e200, 1e-10, 1e-100, 1e-200])
      ndim = len(scales)
      nwalkers = 5 * ndim
      w = np.random.randn(nwalkers, ndim) * scales[None, :]
      assert walkers_independent(w)
  
imports: import pickle
  from itertools import islice, product
  import numpy
  import pytest
  from emcee import EnsembleSampler, backends, moves, walkers_independent
label_desc: Use image node_id 17 for calling a global function with example usage: test_walkers_independent_scaled() without return types