diff --git a/test/test_genjax_model.py b/test/test_genjax_model.py
index 631025e0..483d880b 100644
--- a/test/test_genjax_model.py
+++ b/test/test_genjax_model.py
@@ -19,15 +19,43 @@
 b.RENDERER.add_mesh_from_file(os.path.join(b.utils.get_assets_dir(), "sample_objs/cube.obj"))
 b.RENDERER.add_mesh_from_file(os.path.join(b.utils.get_assets_dir(), "sample_objs/cube.obj"))
 
-importance_jit = jax.jit(b.genjax.model.importance)
+importance_jit = jax.jit(b.model.importance)
+
+table_pose = b.t3d.inverse_pose(
+    b.t3d.transform_from_pos_target_up(
+        jnp.array([0.0, 4.8, 4.15]),
+        jnp.array([0.0, 0.0, 0.0]),
+        jnp.array([0.0, 0.0, 1.0]),
+    )
+)
+
+enumerators = b.make_enumerator(["contact_params_1"])
 
 def test_genjax_trace_contains_right_info():
     key = jax.random.PRNGKey(1)
-    key, (_,trace) = importance_jit(key, genjax.choice_map({
+    low, high = jnp.array([-0.2, -0.2, -jnp.pi]), jnp.array([0.2, 0.2, jnp.pi])
+    weight, trace = importance_jit(key, genjax.choice_map({
         "parent_0": -1,
+        "parent_1": 0,
+        "id_0": jnp.int32(1),
+        "id_1": jnp.int32(0),
+        "root_pose_0": table_pose,
         "camera_pose": jnp.eye(4),
-        "id_0": jnp.int32(0),
-    }), (jnp.arange(1), jnp.arange(2), jnp.array(jnp.ones(3)*5.0), jnp.array([0.2, 0.2, -2*jnp.pi]), b.RENDERER.model_box_dims, 100.0))    
+        "face_parent_1": 3,
+        "face_child_1": 2,
+        "variance": 0.0001,
+        "outlier_prob": 0.0001,
+        "contact_params_1": jax.random.uniform(key, shape=(3,),minval=low, maxval=high)
+    }), (
+        jnp.arange(2),
+        jnp.arange(22),
+        jnp.array([-jnp.ones(3)*100.0, jnp.ones(3)*100.0]),
+        jnp.array([jnp.array([-0.5, -0.5, -2*jnp.pi]), jnp.array([0.5, 0.5, 2*jnp.pi])]),
+        b.RENDERER.model_box_dims, 1.0, intrinsics.fx)
+    )
+
+    scores = enumerators[3](trace, key, jnp.zeros((100,3)))
+
     assert trace["parent_0"] == -1
     assert (trace["camera_pose"] == jnp.eye(4)).all()
     assert trace["id_0"] == 0