update defaults for speed

This commit is contained in:
Jan Petykiewicz 2026-03-21 12:05:06 -07:00
commit 148aca45d4
14 changed files with 27 additions and 29 deletions

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

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

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

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@ -21,7 +21,6 @@ def main() -> None:
engine,
danger_map,
unit_length_cost=1.0,
greedy_h_weight=1.5,
bend_penalty=10.0,
sbend_penalty=20.0,
)
@ -32,7 +31,6 @@ def main() -> None:
snap_size=1.0,
bend_radii=[10.0, 30.0],
sbend_offsets=[5.0], # Use a simpler offset
sbend_radii=[10.0],
bend_penalty=10.0,
sbend_penalty=20.0,
snap_to_target_dist=50.0, # Large snap range

View file

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

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@ -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, greedy_h_weight=1.5, bend_penalty=50.0, sbend_penalty=150.0)
evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
# Scenario 1: Standard 'arc' model (High fidelity)
router_arc = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0], sbend_radii=[10.0], bend_collision_type="arc")
router_arc = AStarRouter(evaluator, snap_size=1.0, bend_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, bend_radii=[10.0], sbend_radii=[10.0], bend_collision_type="bbox")
router_bbox = AStarRouter(evaluator, snap_size=1.0, bend_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, bend_radii=[10.0], sbend_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], 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

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@ -18,8 +18,8 @@ def main() -> None:
danger_map = DangerMap(bounds=bounds)
danger_map.precompute([])
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])
evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
router = AStarRouter(evaluator, snap_size=1.0, bend_radii=[10.0])
pf = PathFinder(router, evaluator)
# 2. Define Netlist
@ -39,7 +39,7 @@ 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, bend_radii=[10.0], sbend_radii=[10.0], bend_collision_type=custom_poly)
router_custom = AStarRouter(evaluator, snap_size=1.0, bend_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}
)

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