54 lines
2 KiB
Python
54 lines
2 KiB
Python
from inire.geometry.collision import CollisionEngine
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from inire.geometry.primitives import Port
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from inire.router.astar import AStarRouter
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from inire.router.cost import CostEvaluator
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from inire.router.danger_map import DangerMap
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from inire.router.pathfinder import PathFinder
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from inire.utils.visualization import plot_routing_results
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def main() -> None:
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print("Running Example 02: Congestion Resolution (Triple Crossing)...")
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# 1. Setup Environment (Open space)
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bounds = (0, 0, 100, 100)
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engine = CollisionEngine(clearance=2.0)
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danger_map = DangerMap(bounds=bounds)
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danger_map.precompute([])
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evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
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router = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0])
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pf = PathFinder(router, evaluator)
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# 2. Define Netlist
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# Three nets that all converge on the same central area.
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# Negotiated Congestion must find non-overlapping paths for all of them.
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netlist = {
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"horizontal": (Port(10, 50, 0), Port(90, 50, 0)),
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"vertical_up": (Port(45, 10, 90), Port(45, 90, 90)),
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"vertical_down": (Port(55, 90, 270), Port(55, 10, 270)),
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}
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net_widths = dict.fromkeys(netlist, 2.0)
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# 3. Route with Negotiated Congestion
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# We increase the base penalty to encourage faster divergence
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pf = PathFinder(router, evaluator, base_congestion_penalty=1000.0)
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results = pf.route_all(netlist, net_widths)
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# 4. Check Results
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all_valid = all(r.is_valid for r in results.values())
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if all_valid:
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print("Success! Congestion resolved for all nets.")
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else:
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print("Some nets failed or have collisions.")
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for nid, res in results.items():
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print(f" {nid}: valid={res.is_valid}, collisions={res.collisions}")
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# 5. Visualize
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fig, ax = plot_routing_results(results, [], bounds, netlist=netlist)
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fig.savefig("examples/02_congestion_resolution.png")
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print("Saved plot to examples/02_congestion_resolution.png")
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if __name__ == "__main__":
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main()
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