Migrate current callers to level-indexed refinement API

tests/validation/run_refined_dfg.py

@@ -81,7 +81,7 @@ def public_jets(center, radius, scenario):
     )
 
 
-def jet_interval(handle, scenario, begin, n, diameter):
+def jet_interval(handle, scenario, begin, n, diameter, *, level=None):
     """Apply a reversal only at a completed interval boundary, before advancing."""
     if scenario != "none":
         boundaries = [round(t * diameter / SPEED) for t in (250, 260, 270, 280, 290, 300, 305)]
@@ -92,8 +92,9 @@ def jet_interval(handle, scenario, begin, n, diameter):
     if begin < switch:
         return min(n, switch - begin), None
     if begin == switch:
-        handle.set_jet_amplitude(0, -JET_PEAK)
-        handle.set_jet_amplitude(1, JET_PEAK)
+        target = {} if level is None else dict(level=level)
+        handle.set_jet_amplitude(0, -JET_PEAK, **target)
+        handle.set_jet_amplitude(1, JET_PEAK, **target)
         return n, dict(step=begin, tstar=300.0, amplitudes=[-JET_PEAK, JET_PEAK])
     return n, None
 
@@ -448,7 +449,7 @@ def run_case(a, h, periodic, case):
                 )
                 n = min(max(1, round(width * p["diameter"] / SPEED)), max_steps - begin)
                 n, change = jet_interval(backend if refined else sim, a.jet_scenario,
-                                         begin, n, p["diameter"])
+                                         begin, n, p["diameter"], level=1 if refined else None)
                 if change is not None:
                     amplitude_changes.append(change)
                 impulse = np.zeros(2)