code: def test_step_args():
      with Model() as model:
          a = Normal("a")
          idata = sample(
              nuts_sampler="numpyro",
              target_accept=0.5,
              nuts={"max_treedepth": 10},
              random_seed=1410,
          )
  
      npt.assert_almost_equal(
          idata.sample_stats.acceptance_rate.mean(), 0.5, decimal=1
      )
  
imports: import numpy
  import numpy.testing
  import pytest
  from pymc import ConstantData, Model, Normal, sample
label_desc: Use image node_id 2 for calling a global function with example usage: test_step_args() without return types