Fix sampling test.

tests/mcmc/test_sampling.py

@@ -721,17 +721,18 @@ def univariate_normal_test_case(
         num_sampling_steps,
         burnin,
         postprocess_samples=None,
+        **kwargs,
     ):
         inference_key, orbit_key = jax.random.split(rng_key)
         _, states, _ = self.variant(
             functools.partial(
                 run_inference_algorithm,
                 inference_algorithm=inference_algorithm,
                 num_steps=num_sampling_steps,
+                **kwargs,
             )
         )(rng_key=inference_key, initial_state=initial_state)
 
-        # else:
         if postprocess_samples:
             samples = postprocess_samples(states, orbit_key)
         else:
@@ -844,9 +845,8 @@ def test_orbital_hmc(self):
         burnin = 15_000
 
         def postprocess_samples(states, key):
-            return orbit_samples(
-                states.positions[burnin:], states.weights[burnin:], key
-            )
+            positions, weights = states
+            return orbit_samples(positions[burnin:], weights[burnin:], key)
 
         self.univariate_normal_test_case(
             inference_algorithm,
@@ -855,6 +855,7 @@ def postprocess_samples(states, key):
             20_000,
             burnin,
             postprocess_samples,
+            transform=lambda x: (x.positions, x.weights),
         )
 
     @chex.all_variants(with_pmap=False)