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tweak ex7 tunavles for 6 iter convergence

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Jan Petykiewicz 2026-03-18 21:39:08 -07:00
commit b1feaa89f8
1 changed files with 4 additions and 4 deletions
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8
examples/07_large_scale_routing.py
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@ -27,10 +27,10 @@ def main() -> None:
danger_map = DangerMap(bounds=bounds) danger_map = DangerMap(bounds=bounds)
danger_map.precompute(obstacles) danger_map.precompute(obstacles)
evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=2.0, unit_length_cost=0.1, bend_penalty=100.0, sbend_penalty=400.0, congestion_penalty=20.0) evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.5, unit_length_cost=0.1, bend_penalty=100.0, sbend_penalty=400.0, congestion_penalty=100.0)
router = AStarRouter(evaluator, node_limit=2000000, snap_size=5.0, bend_radii=[50.0], sbend_radii=[50.0], use_analytical_sbends=False) router = AStarRouter(evaluator, node_limit=2000000, snap_size=5.0, bend_radii=[50.0], sbend_radii=[50.0], use_analytical_sbends=False)
pf = PathFinder(router, evaluator, max_iterations=15, base_congestion_penalty=20.0, congestion_multiplier=1.2) pf = PathFinder(router, evaluator, max_iterations=15, base_congestion_penalty=100.0, congestion_multiplier=1.4)
# 2. Define Netlist # 2. Define Netlist
netlist = {} netlist = {}
@ -90,8 +90,8 @@ def main() -> None:
top_hotspots = sorted(hotspots.items(), key=lambda x: x[1], reverse=True)[:3] top_hotspots = sorted(hotspots.items(), key=lambda x: x[1], reverse=True)[:3]
print(f" Top Hotspots: {top_hotspots}") print(f" Top Hotspots: {top_hotspots}")
# Adaptive Greediness: Decay from 2.0 to 1.1 over 25 iterations # Adaptive Greediness: Decay from 1.5 to 1.1 over 10 iterations
new_greedy = max(1.1, 2.0 - ((idx + 1) / 25.0)) new_greedy = max(1.1, 1.5 - ((idx + 1) / 10.0) * 0.4)
evaluator.greedy_h_weight = new_greedy evaluator.greedy_h_weight = new_greedy
print(f" Adaptive Greedy Weight for Next Iteration: {new_greedy:.3f}") print(f" Adaptive Greedy Weight for Next Iteration: {new_greedy:.3f}")