tune examples for faster completion

examples/01_simple_route.py

@@ -26,8 +26,8 @@ def main() -> None:
     # Precompute the danger map (distance field) for heuristics
     danger_map.precompute([obstacle])
 
-    evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
-    router = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0])
+    evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.5, bend_penalty=50.0, sbend_penalty=150.0)
+    router = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0])
     pf = PathFinder(router, evaluator)
 
     # 2. Define Netlist

examples/02_congestion_resolution.py

@@ -16,8 +16,8 @@ def main() -> None:
     danger_map = DangerMap(bounds=bounds)
     danger_map.precompute([])
 
-    evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
-    router = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0])
+    evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.5, bend_penalty=50.0, sbend_penalty=150.0)
+    router = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0])
     pf = PathFinder(router, evaluator)
 
     # 2. Define Netlist

examples/03_locked_paths.py

@@ -18,8 +18,8 @@ def main() -> None:
     danger_map = DangerMap(bounds=bounds)
     danger_map.precompute([])
 
-    evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
-    router = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0])
+    evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.5, bend_penalty=50.0, sbend_penalty=150.0)
+    router = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0])
     pf = PathFinder(router, evaluator)
 
     # 2. Add a 'Pre-routed' net and lock it

examples/05_orientation_stress.py

@@ -16,8 +16,8 @@ def main() -> None:
     danger_map = DangerMap(bounds=bounds)
     danger_map.precompute([])
 
-    evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
-    router = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0])
+    evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.5, bend_penalty=50.0, sbend_penalty=150.0)
+    router = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0])
     pf = PathFinder(router, evaluator)
 
     # 2. Define Netlist: Complex orientation challenges

examples/06_bend_collision_models.py

@@ -30,18 +30,18 @@ def main() -> None:
     danger_map.precompute(obstacles)
 
     # We'll run three separate routers since collision_type is a router-level config
-    evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
+    evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.5, bend_penalty=50.0, sbend_penalty=150.0)
 
     # Scenario 1: Standard 'arc' model (High fidelity)
-    router_arc = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0], bend_collision_type="arc")
+    router_arc = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0], bend_collision_type="arc")
     netlist_arc = {"arc_model": (Port(10, 120, 0), Port(90, 140, 90))}
 
     # Scenario 2: 'bbox' model (Conservative axis-aligned box)
-    router_bbox = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0], bend_collision_type="bbox")
+    router_bbox = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0], bend_collision_type="bbox")
     netlist_bbox = {"bbox_model": (Port(10, 70, 0), Port(90, 90, 90))}
 
     # Scenario 3: 'clipped_bbox' model (Balanced)
-    router_clipped = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0], bend_collision_type="clipped_bbox", bend_clip_margin=1.0)
+    router_clipped = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0], bend_collision_type="clipped_bbox", bend_clip_margin=1.0)
     netlist_clipped = {"clipped_model": (Port(10, 20, 0), Port(90, 40, 90))}
 
     # 2. Route each scenario

examples/07_large_scale_routing.py

@@ -64,7 +64,8 @@ def main() -> None:
         overlap_matrix = {} # (net_a, net_b) -> count
 
         for nid, res in current_results.items():
-            if res.path:
+            if not res.path:
+                continue
             for comp in res.path:
                 for poly in comp.geometry:
                     # Check what it overlaps with

examples/08_custom_bend_geometry.py

@@ -18,8 +18,8 @@ def main() -> None:
     danger_map = DangerMap(bounds=bounds)
     danger_map.precompute([])
 
-    evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
-    router = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0])
+    evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.5, bend_penalty=50.0, sbend_penalty=150.0)
+    router = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0])
     pf = PathFinder(router, evaluator)
 
     # 2. Define Netlist
@@ -38,7 +38,7 @@ def main() -> None:
     
     print("Routing with custom collision model...")
     # Override bend_collision_type with a literal Polygon
-    router_custom = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0], bend_collision_type=custom_poly)
+    router_custom = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0], bend_collision_type=custom_poly)
     results_custom = PathFinder(router_custom, evaluator, use_tiered_strategy=False).route_all(
         {"custom_model": netlist["custom_bend"]}, {"custom_model": 2.0}
     )

examples/09_unroutable_best_effort.py

@@ -26,9 +26,9 @@ def main() -> None:
     danger_map = DangerMap(bounds=bounds)
     danger_map.precompute(cage)
 
-    evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
+    evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.5, bend_penalty=50.0, sbend_penalty=150.0)
     # Use a low node limit to fail faster
-    router = AStarRouter(evaluator, node_limit=2000, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0])
+    router = AStarRouter(evaluator, node_limit=2000, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0])
     
     # Enable partial path return
     pf = PathFinder(router, evaluator)