docstr: Smoke test.
code: def test_fixed_smoke(self, method):
      """Smoke test."""
      target = adaptive_malt.TestGaussian(ndims=5)
      _ = jax.jit(
          lambda seed: adaptive_malt.run_fixed_mcmc_on_target(  # pylint: disable=g-long-lambda
              target=target,
              method=method,
              init_x=target.sample((1,), seed=jax.random.PRNGKey(1)),
              scalar_step_size=1e-2,
              vector_step_size=jnp.ones(5),
              damping=0.5,
              num_warmup_steps=2,
              num_results=8,
              num_integrator_steps=1,
              seed=seed,
          )
      )(jax.random.PRNGKey(0))
  
file_path: probability/discussion/adaptive_malt/adaptive_malt_test.py
imports: from absl.testing import parameterized
  import jax
  import jax.numpy
  from discussion.adaptive_malt import adaptive_malt
  from absl.testing import absltest
label_desc: Use image node_id 2 for calling the AdaptiveMALTTest obj's underlying member method code with example usage: obj.test_fixed_smoke(method) without return types