tweak ex7 tunavles for 6 iter convergence
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1 changed files with 4 additions and 4 deletions
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@ -27,10 +27,10 @@ def main() -> None:
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danger_map = DangerMap(bounds=bounds)
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danger_map.precompute(obstacles)
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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)
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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)
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router = AStarRouter(evaluator, node_limit=2000000, snap_size=5.0, bend_radii=[50.0], sbend_radii=[50.0], use_analytical_sbends=False)
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pf = PathFinder(router, evaluator, max_iterations=15, base_congestion_penalty=20.0, congestion_multiplier=1.2)
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pf = PathFinder(router, evaluator, max_iterations=15, base_congestion_penalty=100.0, congestion_multiplier=1.4)
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# 2. Define Netlist
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netlist = {}
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@ -90,8 +90,8 @@ def main() -> None:
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top_hotspots = sorted(hotspots.items(), key=lambda x: x[1], reverse=True)[:3]
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print(f" Top Hotspots: {top_hotspots}")
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# Adaptive Greediness: Decay from 2.0 to 1.1 over 25 iterations
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new_greedy = max(1.1, 2.0 - ((idx + 1) / 25.0))
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# Adaptive Greediness: Decay from 1.5 to 1.1 over 10 iterations
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new_greedy = max(1.1, 1.5 - ((idx + 1) / 10.0) * 0.4)
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evaluator.greedy_h_weight = new_greedy
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print(f" Adaptive Greedy Weight for Next Iteration: {new_greedy:.3f}")
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