go to a tunable 5um grid

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jan 2026-03-11 09:37:54 -07:00
commit 91256cbcf9
21 changed files with 222 additions and 233 deletions

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@ -1,3 +1,5 @@
from shapely.geometry import Polygon
from inire.geometry.collision import CollisionEngine
from inire.geometry.primitives import Port
from inire.router.astar import AStarRouter
@ -8,63 +10,51 @@ from inire.utils.visualization import plot_routing_results
def main() -> None:
print("Running Example 03: Locked Paths (Incremental Routing - Bus Scenario)...")
print("Running Example 03: Locked Paths...")
# 1. Setup Environment
bounds = (0, 0, 120, 120)
bounds = (0, 0, 100, 100)
engine = CollisionEngine(clearance=2.0)
danger_map = DangerMap(bounds=bounds)
danger_map.precompute([]) # Start with empty space
danger_map.precompute([])
evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.2)
router = AStarRouter(evaluator, node_limit=200000)
evaluator = CostEvaluator(engine, danger_map, bend_penalty=50.0, sbend_penalty=150.0)
router = AStarRouter(evaluator, snap_size=1.0, straight_lengths=[1.0, 5.0, 25.0], bend_radii=[10.0])
pf = PathFinder(router, evaluator)
# 2. Phase 1: Route a "Bus" of 3 parallel nets
# We give them a small jog to make the locked geometry more interesting
netlist_p1 = {
"bus_0": (Port(10, 40, 0), Port(110, 45, 0)),
"bus_1": (Port(10, 50, 0), Port(110, 55, 0)),
"bus_2": (Port(10, 60, 0), Port(110, 65, 0)),
# 2. Add a 'Pre-routed' net and lock it
# Net 'fixed' goes right through the middle
fixed_start = Port(10, 50, 0)
fixed_target = Port(90, 50, 0)
print("Routing initial net...")
res_fixed = router.route(fixed_start, fixed_target, net_width=2.0)
if res_fixed:
# 3. Lock this net! It now behaves like a static obstacle
geoms = [comp.geometry[0] for comp in res_fixed]
engine.add_path("locked_net", geoms)
engine.lock_net("locked_net")
print("Initial net locked as static obstacle.")
# Update danger map to reflect the new static obstacle
danger_map.precompute(list(engine.static_geometries.values()))
# 4. Route a new net that must detour around the locked one
netlist = {
"detour_net": (Port(50, 10, 90), Port(50, 90, 90)),
}
print("Phase 1: Routing bus (3 nets)...")
results_p1 = pf.route_all(netlist_p1, dict.fromkeys(netlist_p1, 2.0))
net_widths = {"detour_net": 2.0}
# Lock all Phase 1 nets
path_polys = []
for nid, res in results_p1.items():
if res.is_valid:
print(f" Locking {nid}...")
engine.lock_net(nid)
path_polys.extend([p for comp in res.path for p in comp.geometry])
else:
print(f" Warning: {nid} failed to route correctly.")
# Update danger map with the newly locked geometry
print("Updating DangerMap with locked paths...")
danger_map.precompute(path_polys)
# 3. Phase 2: Route secondary nets that must navigate around the locked bus
# These nets cross the bus vertically.
netlist_p2 = {
"cross_left": (Port(30, 10, 90), Port(30, 110, 90)),
"cross_right": (Port(80, 110, 270), Port(80, 10, 270)), # Top to bottom
}
print("Phase 2: Routing crossing nets around locked bus...")
# We use a slightly different width for variety
results_p2 = pf.route_all(netlist_p2, dict.fromkeys(netlist_p2, 1.5))
# 4. Check Results
for nid, res in results_p2.items():
status = "Success" if res.is_valid else "Failed"
print(f" {nid:12}: {status}, collisions={res.collisions}")
print("Routing detour net around locked path...")
results = pf.route_all(netlist, net_widths)
# 5. Visualize
all_results = {**results_p1, **results_p2}
all_netlists = {**netlist_p1, **netlist_p2}
fig, ax = plot_routing_results(all_results, [], bounds, netlist=all_netlists)
# Add the locked net back to results for display
from inire.router.pathfinder import RoutingResult
display_results = {**results, "locked_net": RoutingResult("locked_net", res_fixed or [], True, 0)}
fig, ax = plot_routing_results(display_results, list(engine.static_geometries.values()), bounds, netlist=netlist)
fig.savefig("examples/03_locked_paths.png")
print("Saved plot to examples/03_locked_paths.png")