code: def _numpyro_noncentered_model(J, sigma, y=None):
      import numpyro
      import numpyro.distributions as dist
  
      mu = numpyro.sample("mu", dist.Normal(0, 5))
      tau = numpyro.sample("tau", dist.HalfCauchy(5))
      with numpyro.plate("J", J):
          eta = numpyro.sample("eta", dist.Normal(0, 1))
          theta = mu + tau * eta
          return numpyro.sample("obs", dist.Normal(theta, sigma), obs=y)
  
imports: import gzip
  import importlib
  import logging
  import os
  import sys
  from typing import Any, Dict, List, Optional, Tuple, Union
  import cloudpickle
  import numpy
  import pytest
  from _pytest.outcomes import Skipped
  from packaging.version import Version
  from ..data import InferenceData, from_dict
label_desc: Use image node_id 18 for calling a global function with example usage: _numpyro_noncentered_model(J, sigma, y) and returns: numpyro