52 lines
1.7 KiB
Python
52 lines
1.7 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 AStarContext, route_astar
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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 04: SBends and Radii Strategy...")
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# 1. Setup Environment
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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=200.0, sbend_penalty=400.0)
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# Define a custom router with multiple SBend radii and specific offsets
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context = AStarContext(
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evaluator,
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snap_size=1.0,
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bend_radii=[20.0, 50.0],
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sbend_radii=[5.0, 10.0, 50.0],
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sbend_offsets=[2.0, 5.0, 10.0, 20.0, 50.0]
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)
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pf = PathFinder(context)
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# 2. Define Netlist
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# High-density parallel nets with varying offsets
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netlist = {}
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for i in range(10):
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# Starts at x=50, y=50+i*10. Targets at x=450, y=60+i*10.
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# This forces small vertical jogs (SBends)
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netlist[f"net_{i}"] = (Port(50, 50 + i * 10, 0), Port(450, 55 + i * 10, 0))
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net_widths = {nid: 2.0 for nid in netlist}
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# 3. Route
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print(f"Routing {len(netlist)} nets with custom SBend strategy...")
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results = pf.route_all(netlist, net_widths, shuffle_nets=True)
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# 4. Visualize
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fig, ax = plot_routing_results(results, [], bounds, netlist=netlist)
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fig.savefig("examples/04_sbends_and_radii.png")
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print("Saved plot to examples/04_sbends_and_radii.png")
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if __name__ == "__main__":
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main()
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