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Author SHA1 Message Date
c9bb8d6469 consistency and speed 2026-03-09 02:26:27 -07:00
58873692d6 more bend work; bounds constrain edges 2026-03-09 01:48:18 -07:00
17 changed files with 367 additions and 255 deletions

29
DOCS.md
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@ -7,22 +7,22 @@ This document describes the user-tunable parameters for the `inire` auto-router.
The `AStarRouter` is the core pathfinding engine. It can be configured directly through its constructor.
| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| :-------------------- | :------------ | :----------------- | :------------------------------------------------------------------------------------ |
| `node_limit` | `int` | 1,000,000 | Maximum number of states to explore per net. Increase for very complex paths. |
| `straight_lengths` | `list[float]` | `[1.0, 5.0, 25.0]` | Discrete step sizes for straight waveguides (µm). Larger steps speed up search in open space. |
| `bend_radii` | `list[float]` | `[10.0]` | Available radii for 90-degree turns (µm). Multiple values allow the router to pick the best fit. |
| `straight_lengths` | `list[float]` | `[1.0, 5.0, 25.0]` | Discrete step sizes for straight waveguides (µm). Larger steps speed up search. |
| `bend_radii` | `list[float]` | `[10.0]` | Available radii for 90-degree turns (µm). Multiple values allow best-fit selection. |
| `sbend_offsets` | `list[float]` | `[-5, -2, 2, 5]` | Lateral offsets for parametric S-bends (µm). |
| `sbend_radii` | `list[float]` | `[10.0]` | Available radii for S-bends (µm). |
| `snap_to_target_dist`| `float` | 20.0 | Distance (µm) at which the router attempts an exact bridge to the target port. |
| `snap_to_target_dist` | `float` | 20.0 | Distance (µm) at which the router attempts an exact bridge to the target port. |
| `bend_penalty` | `float` | 50.0 | Flat cost added for every 90-degree bend. Higher values favor straight lines. |
| `sbend_penalty` | `float` | 100.0 | Flat cost added for every S-bend. Usually higher than `bend_penalty`. |
| `bend_collision_type`| `str` | `"arc"` | Collision model for bends: `"arc"`, `"bbox"`, or `"clipped_bbox"`. |
| `bend_clip_margin` | `float` | 10.0 | Margin (µm) for the `"clipped_bbox"` collision model. |
| `bend_collision_type` | `str` | `"arc"` | Collision model for bends: `"arc"`, `"bbox"`, or `"clipped_bbox"`. |
| `bend_clip_margin` | `float` | 10.0 | Extra space (µm) around the waveguide before the bounding box corners are clipped. |
### Bend Collision Models
* `"arc"`: High-fidelity model following the exact curved waveguide geometry.
* `"bbox"`: Conservative model using the axis-aligned bounding box of the bend. Fast but blocks more space.
* `"clipped_bbox"`: A middle ground that uses the bounding box but clips corners that are far from the waveguide.
* `"clipped_bbox"`: A middle ground that starts with the bounding box but applies 45-degree linear cuts to the inner and outer corners. The `bend_clip_margin` defines the extra safety distance from the waveguide edge to the cut line.
---
@ -31,10 +31,10 @@ The `AStarRouter` is the core pathfinding engine. It can be configured directly
The `CostEvaluator` defines the "goodness" of a path.
| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| :------------------- | :------ | :--------- | :--------------------------------------------------------------------------------------- |
| `unit_length_cost` | `float` | 1.0 | Cost per µm of wire length. |
| `greedy_h_weight` | `float` | 1.1 | Heuristic weight. `1.0` is optimal; higher values (e.g., `1.5`) are faster but may produce longer paths. |
| `congestion_penalty`| `float` | 10,000.0 | Multiplier for overlaps in the multi-net Negotiated Congestion loop. |
| `greedy_h_weight` | `float` | 1.1 | Heuristic weight. `1.0` is optimal; higher values (e.g. `1.5`) speed up search. |
| `congestion_penalty` | `float` | 10,000.0 | Multiplier for overlaps in the multi-net Negotiated Congestion loop. |
---
@ -43,18 +43,18 @@ The `CostEvaluator` defines the "goodness" of a path.
The `PathFinder` orchestrates multi-net routing using the Negotiated Congestion algorithm.
| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| :------------------------ | :------ | :------ | :-------------------------------------------------------------------------------------- |
| `max_iterations` | `int` | 10 | Maximum number of rip-up and reroute iterations to resolve congestion. |
| `base_congestion_penalty` | `float` | 100.0 | Starting penalty for overlaps. This value is multiplied by `1.5` each iteration if congestion persists. |
| `base_congestion_penalty` | `float` | 100.0 | Starting penalty for overlaps. Multiplied by `1.5` each iteration if congestion remains.|
---
## 4. CollisionEngine Parameters
| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| :------------------- | :------ | :--------- | :------------------------------------------------------------------------------------ |
| `clearance` | `float` | (Required) | Minimum required distance between any two waveguides or obstacles (µm). |
| `safety_zone_radius`| `float` | 0.0021 | Radius (µm) around ports where collisions are ignored to allow PDK boundary incidence. |
| `safety_zone_radius` | `float` | 0.0021 | Radius (µm) around ports where collisions are ignored for PDK boundary incidence. |
---
@ -62,6 +62,7 @@ The `PathFinder` orchestrates multi-net routing using the Negotiated Congestion
- **Coordinates**: Micrometers (µm).
- **Grid Snapping**: The router internally operates on a **1nm** grid for final ports and a **1µm** lattice for expansion moves.
- **Search Space**: Assumptions are optimized for design areas up to **20mm x 20mm**.
- **Design Bounds**: The boundary limits defined in `DangerMap` strictly constrain the **physical edges** (dilated geometry) of the waveguide. Any move that would cause the waveguide or its required clearance to extend beyond these bounds is rejected with an infinite cost.
---

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@ -74,12 +74,17 @@ Check the `examples/` directory for ready-to-run scripts demonstrating core feat
* **`examples/03_locked_paths.py`**: Incremental workflow using `lock_net()` to route around previously fixed paths. Generates `03_locked_paths.png`.
* **`examples/04_sbends_and_radii.py`**: Complex paths using parametric S-bends and multiple bend radii. Generates `04_sbends_and_radii.png`.
* **`examples/05_orientation_stress.py`**: Stress test for various port orientation combinations (U-turns, opposite directions). Generates `05_orientation_stress.png`.
* **`examples/06_bend_collision_models.py`**: Comparison of different collision models for bends (Arc vs. BBox vs. Clipped BBox). Generates `06_bend_collision_models.png`.
Run an example:
```bash
python3 examples/01_simple_route.py
```
## Documentation
Full documentation for all user-tunable parameters, cost functions, and collision models can be found in **[DOCS.md](DOCS.md)**.
## Architecture
`inire` operates on a **State-Lattice** defined by $(x, y, \theta)$. From any state, the router expands via three primary "Move" types:

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@ -28,7 +28,7 @@ def main() -> None:
"vertical_up": (Port(45, 10, 90), Port(45, 90, 90)),
"vertical_down": (Port(55, 90, 270), Port(55, 10, 270)),
}
net_widths = {nid: 2.0 for nid in netlist}
net_widths = dict.fromkeys(netlist, 2.0)
# 3. Route with Negotiated Congestion
# We increase the base penalty to encourage faster divergence

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@ -28,7 +28,7 @@ def main() -> None:
"bus_2": (Port(10, 60, 0), Port(110, 65, 0)),
}
print("Phase 1: Routing bus (3 nets)...")
results_p1 = pf.route_all(netlist_p1, {nid: 2.0 for nid in netlist_p1})
results_p1 = pf.route_all(netlist_p1, dict.fromkeys(netlist_p1, 2.0))
# Lock all Phase 1 nets
path_polys = []
@ -53,7 +53,7 @@ def main() -> None:
print("Phase 2: Routing crossing nets around locked bus...")
# We use a slightly different width for variety
results_p2 = pf.route_all(netlist_p2, {nid: 1.5 for nid in netlist_p2})
results_p2 = pf.route_all(netlist_p2, dict.fromkeys(netlist_p2, 1.5))
# 4. Check Results
for nid, res in results_p2.items():

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@ -1,4 +1,3 @@
from shapely.geometry import Polygon
from inire.geometry.collision import CollisionEngine
from inire.geometry.primitives import Port

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@ -35,7 +35,7 @@ def main() -> None:
# Sharp return: output is behind and oriented towards the input
"return_loop": (Port(80, 20, 0), Port(40, 10, 180)),
}
net_widths = {nid: 2.0 for nid in netlist}
net_widths = dict.fromkeys(netlist, 2.0)
# 3. Route
results = pf.route_all(netlist, net_widths)

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@ -0,0 +1,70 @@
from shapely.geometry import Polygon
from inire.geometry.collision import CollisionEngine
from inire.geometry.primitives import Port
from inire.router.astar import AStarRouter
from inire.router.cost import CostEvaluator
from inire.router.danger_map import DangerMap
from inire.router.pathfinder import PathFinder
from inire.utils.visualization import plot_routing_results
def main() -> None:
print("Running Example 06: Bend Collision Models...")
# 1. Setup Environment
# Give room for 10um bends near the edges
bounds = (-20, -20, 170, 170)
engine = CollisionEngine(clearance=2.0)
danger_map = DangerMap(bounds=bounds)
# Create three scenarios with identical obstacles
# We'll space them out vertically
obs_arc = Polygon([(40, 110), (60, 110), (60, 130), (40, 130)])
obs_bbox = Polygon([(40, 60), (60, 60), (60, 80), (40, 80)])
obs_clipped = Polygon([(40, 10), (60, 10), (60, 30), (40, 30)])
obstacles = [obs_arc, obs_bbox, obs_clipped]
for obs in obstacles:
engine.add_static_obstacle(obs)
danger_map.precompute(obstacles)
# We'll run three separate routers since collision_type is a router-level config
evaluator = CostEvaluator(engine, danger_map)
# Scenario 1: Standard 'arc' model (High fidelity)
router_arc = AStarRouter(evaluator, bend_collision_type="arc")
netlist_arc = {"arc_model": (Port(10, 120, 0), Port(90, 140, 90))}
# Scenario 2: 'bbox' model (Conservative axis-aligned box)
router_bbox = AStarRouter(evaluator, bend_collision_type="bbox")
netlist_bbox = {"bbox_model": (Port(10, 70, 0), Port(90, 90, 90))}
# Scenario 3: 'clipped_bbox' model (Balanced)
router_clipped = AStarRouter(evaluator, bend_collision_type="clipped_bbox", bend_clip_margin=1.0)
netlist_clipped = {"clipped_model": (Port(10, 20, 0), Port(90, 40, 90))}
# 2. Route each scenario
print("Routing Scenario 1 (Arc)...")
res_arc = PathFinder(router_arc, evaluator).route_all(netlist_arc, {"arc_model": 2.0})
print("Routing Scenario 2 (BBox)...")
res_bbox = PathFinder(router_bbox, evaluator).route_all(netlist_bbox, {"bbox_model": 2.0})
print("Routing Scenario 3 (Clipped BBox)...")
res_clipped = PathFinder(router_clipped, evaluator).route_all(netlist_clipped, {"clipped_model": 2.0})
# 3. Combine results for visualization
all_results = {**res_arc, **res_bbox, **res_clipped}
all_netlists = {**netlist_arc, **netlist_bbox, **netlist_clipped}
# 4. Visualize
# Note: plot_routing_results will show the 'collision geometry' used by the router
# since that's what's stored in res.path[i].geometry
fig, ax = plot_routing_results(all_results, obstacles, bounds, netlist=all_netlists)
fig.savefig("examples/06_bend_collision_models.png")
print("Saved plot to examples/06_bend_collision_models.png")
if __name__ == "__main__":
main()

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@ -1,149 +1,141 @@
from __future__ import annotations
from typing import TYPE_CHECKING
from typing import TYPE_CHECKING, Literal
import rtree
from shapely.geometry import Point, Polygon
from shapely.ops import unary_union
from shapely.prepared import prep
if TYPE_CHECKING:
from shapely.prepared import PreparedGeometry
from inire.geometry.primitives import Port
class CollisionEngine:
"""Manages spatial queries for collision detection."""
"""Manages spatial queries for collision detection with unified dilation logic."""
def __init__(self, clearance: float, max_net_width: float = 2.0, safety_zone_radius: float = 0.0021) -> None:
self.clearance = clearance
self.max_net_width = max_net_width
self.safety_zone_radius = safety_zone_radius
self.static_obstacles = rtree.index.Index()
# To store geometries for precise checks
self.obstacle_geometries: dict[int, Polygon] = {} # ID -> Polygon
self.prepared_obstacles: dict[int, PreparedGeometry] = {} # ID -> PreparedGeometry
self._id_counter = 0
# Static obstacles: store raw geometries to avoid double-dilation
self.static_index = rtree.index.Index()
self.static_geometries: dict[int, Polygon] = {} # ID -> Polygon
self.static_prepared: dict[int, PreparedGeometry] = {} # ID -> PreparedGeometry
self._static_id_counter = 0
# Dynamic paths for multi-net congestion
self.dynamic_paths = rtree.index.Index()
# obj_id -> (net_id, geometry)
self.path_geometries: dict[int, tuple[str, Polygon]] = {}
self.dynamic_index = rtree.index.Index()
# obj_id -> (net_id, raw_geometry)
self.dynamic_geometries: dict[int, tuple[str, Polygon]] = {}
self._dynamic_id_counter = 0
def add_static_obstacle(self, polygon: Polygon, pre_dilate: bool = True) -> None:
"""Add a static obstacle to the engine."""
_ = pre_dilate # Keep for API compatibility
obj_id = self._id_counter
self._id_counter += 1
def add_static_obstacle(self, polygon: Polygon) -> None:
"""Add a static obstacle (raw geometry) to the engine."""
obj_id = self._static_id_counter
self._static_id_counter += 1
self.obstacle_geometries[obj_id] = polygon
self.prepared_obstacles[obj_id] = prep(polygon)
# Index the bounding box of the original polygon
# We query with dilated moves, so original bounds are enough
self.static_obstacles.insert(obj_id, polygon.bounds)
self.static_geometries[obj_id] = polygon
self.static_prepared[obj_id] = prep(polygon)
self.static_index.insert(obj_id, polygon.bounds)
def add_path(self, net_id: str, geometry: list[Polygon]) -> None:
"""Add a net's routed path to the dynamic R-Tree."""
# Dilate by clearance/2 for congestion
dilation = self.clearance / 2.0
"""Add a net's routed path (raw geometry) to the dynamic index."""
for poly in geometry:
dilated = poly.buffer(dilation)
obj_id = self._dynamic_id_counter
self._dynamic_id_counter += 1
self.path_geometries[obj_id] = (net_id, dilated)
self.dynamic_paths.insert(obj_id, dilated.bounds)
self.dynamic_geometries[obj_id] = (net_id, poly)
self.dynamic_index.insert(obj_id, poly.bounds)
def remove_path(self, net_id: str) -> None:
"""Remove a net's path from the dynamic R-Tree."""
to_remove = [obj_id for obj_id, (nid, _) in self.path_geometries.items() if nid == net_id]
"""Remove a net's path from the dynamic index."""
to_remove = [obj_id for obj_id, (nid, _) in self.dynamic_geometries.items() if nid == net_id]
for obj_id in to_remove:
nid, dilated = self.path_geometries.pop(obj_id)
self.dynamic_paths.delete(obj_id, dilated.bounds)
nid, poly = self.dynamic_geometries.pop(obj_id)
self.dynamic_index.delete(obj_id, poly.bounds)
def lock_net(self, net_id: str) -> None:
"""Move a net's dynamic path to static obstacles permanently."""
to_move = [obj_id for obj_id, (nid, _) in self.path_geometries.items() if nid == net_id]
to_move = [obj_id for obj_id, (nid, _) in self.dynamic_geometries.items() if nid == net_id]
for obj_id in to_move:
nid, dilated = self.path_geometries.pop(obj_id)
self.dynamic_paths.delete(obj_id, dilated.bounds)
# Add to static (already dilated for clearance)
new_static_id = self._id_counter
self._id_counter += 1
self.obstacle_geometries[new_static_id] = dilated
self.prepared_obstacles[new_static_id] = prep(dilated)
self.static_obstacles.insert(new_static_id, dilated.bounds)
def count_congestion(self, geometry: Polygon, net_id: str) -> int:
"""Count how many other nets collide with this geometry."""
dilation = self.clearance / 2.0
test_poly = geometry.buffer(dilation)
return self.count_congestion_prebuffered(test_poly, net_id)
def count_congestion_prebuffered(self, dilated_geometry: Polygon, net_id: str) -> int:
"""Count how many other nets collide with this pre-dilated geometry."""
candidates = self.dynamic_paths.intersection(dilated_geometry.bounds)
count = 0
for obj_id in candidates:
other_net_id, other_poly = self.path_geometries[obj_id]
if other_net_id != net_id and dilated_geometry.intersects(other_poly):
count += 1
return count
nid, poly = self.dynamic_geometries.pop(obj_id)
self.dynamic_index.delete(obj_id, poly.bounds)
self.add_static_obstacle(poly)
def is_collision(
self,
geometry: Polygon,
net_width: float,
net_width: float = 2.0,
start_port: Port | None = None,
end_port: Port | None = None,
end_port: Port | None = None
) -> bool:
"""Check if a geometry (e.g. a Move) collides with static obstacles."""
_ = net_width # Width is already integrated into engine dilation settings
dilation = self.clearance / 2.0
test_poly = geometry.buffer(dilation)
return self.is_collision_prebuffered(test_poly, start_port=start_port, end_port=end_port)
"""Alias for check_collision(buffer_mode='static') for backward compatibility."""
_ = net_width
res = self.check_collision(geometry, "default", buffer_mode="static", start_port=start_port, end_port=end_port)
return bool(res)
def is_collision_prebuffered(
def count_congestion(self, geometry: Polygon, net_id: str) -> int:
"""Alias for check_collision(buffer_mode='congestion') for backward compatibility."""
res = self.check_collision(geometry, net_id, buffer_mode="congestion")
return int(res)
def check_collision(
self,
dilated_geometry: Polygon,
geometry: Polygon,
net_id: str,
buffer_mode: Literal["static", "congestion"] = "static",
start_port: Port | None = None,
end_port: Port | None = None,
) -> bool:
"""Check if a pre-dilated geometry collides with static obstacles."""
# Query R-Tree using the bounds of the dilated move
candidates = self.static_obstacles.intersection(dilated_geometry.bounds)
end_port: Port | None = None
) -> bool | int:
"""
Check for collisions using unified dilation logic.
If buffer_mode == "static":
Returns True if geometry collides with static obstacles (buffered by full clearance).
If buffer_mode == "congestion":
Returns count of other nets colliding with geometry (both buffered by clearance/2).
"""
if buffer_mode == "static":
# Buffered move vs raw static obstacle
# Distance must be >= clearance
test_poly = geometry.buffer(self.clearance)
candidates = self.static_index.intersection(test_poly.bounds)
for obj_id in candidates:
# Use prepared geometry for fast intersection
if self.prepared_obstacles[obj_id].intersects(dilated_geometry):
# Check safety zone (2nm radius)
if self.static_prepared[obj_id].intersects(test_poly):
# Safety zone check (using exact intersection area/bounds)
if start_port or end_port:
obstacle = self.obstacle_geometries[obj_id]
intersection = dilated_geometry.intersection(obstacle)
intersection = test_poly.intersection(self.static_geometries[obj_id])
if intersection.is_empty:
continue
# Precise check: is every point in the intersection close to either port?
ix_minx, ix_miny, ix_maxx, ix_maxy = intersection.bounds
is_near_start = False
if start_port:
if (abs(ix_minx - start_port.x) < self.safety_zone_radius and abs(ix_maxx - start_port.x) < self.safety_zone_radius and
abs(ix_miny - start_port.y) < self.safety_zone_radius and abs(ix_maxy - start_port.y) < self.safety_zone_radius):
is_near_start = True
is_near_end = False
if end_port:
if (abs(ix_minx - end_port.x) < self.safety_zone_radius and abs(ix_maxx - end_port.x) < self.safety_zone_radius and
abs(ix_miny - end_port.y) < self.safety_zone_radius and abs(ix_maxy - end_port.y) < self.safety_zone_radius):
is_near_end = True
if is_near_start or is_near_end:
is_safe = False
for p in [start_port, end_port]:
if p and (abs(ix_minx - p.x) < self.safety_zone_radius and
abs(ix_maxx - p.x) < self.safety_zone_radius and
abs(ix_miny - p.y) < self.safety_zone_radius and
abs(ix_maxy - p.y) < self.safety_zone_radius):
is_safe = True
break
if is_safe:
continue
return True
return False
else: # buffer_mode == "congestion"
# Both paths buffered by clearance/2 => Total separation = clearance
dilation = self.clearance / 2.0
test_poly = geometry.buffer(dilation)
candidates = self.dynamic_index.intersection(test_poly.bounds)
count = 0
for obj_id in candidates:
other_net_id, other_poly = self.dynamic_geometries[obj_id]
if other_net_id != net_id:
# Buffer the other path segment too
if test_poly.intersects(other_poly.buffer(dilation)):
count += 1
return count

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@ -1,6 +1,6 @@
from __future__ import annotations
from typing import NamedTuple, Literal, Union
from typing import NamedTuple, Literal, Any
import numpy as np
from shapely.geometry import Polygon, box
@ -87,6 +87,9 @@ def _apply_collision_model(
arc_poly: Polygon,
collision_type: Literal["arc", "bbox", "clipped_bbox"] | Polygon,
radius: float,
width: float,
cx: float = 0.0,
cy: float = 0.0,
clip_margin: float = 10.0
) -> list[Polygon]:
"""Applies the specified collision model to an arc geometry."""
@ -104,8 +107,49 @@ def _apply_collision_model(
return [bbox]
if collision_type == "clipped_bbox":
safe_zone = arc_poly.buffer(clip_margin)
return [bbox.intersection(safe_zone)]
res_poly = bbox
# Determine quadrant signs from arc centroid relative to center
# This ensures we always cut 'into' the box correctly
ac = arc_poly.centroid
sx = 1.0 if ac.x >= cx else -1.0
sy = 1.0 if ac.y >= cy else -1.0
r_out_cut = radius + width / 2.0 + clip_margin
r_in_cut = radius - width / 2.0 - clip_margin
corners = [(minx, miny), (minx, maxy), (maxx, miny), (maxx, maxy)]
for px, py in corners:
dx, dy = px - cx, py - cy
dist = np.sqrt(dx**2 + dy**2)
if dist > r_out_cut:
# Outer corner: remove part furthest from center
# We want minimum distance to line to be r_out_cut
d_cut = r_out_cut * np.sqrt(2)
elif r_in_cut > 0 and dist < r_in_cut:
# Inner corner: remove part closest to center
# We want maximum distance to line to be r_in_cut
d_cut = r_in_cut
else:
continue
# The cut line is sx*(x-cx) + sy*(y-cy) = d_cut
# sx*x + sy*y = sx*cx + sy*cy + d_cut
val = cx * sx + cy * sy + d_cut
try:
p1 = (px, py)
p2 = (px, (val - sx * px) / sy)
p3 = ((val - sy * py) / sx, py)
triangle = Polygon([p1, p2, p3])
if triangle.is_valid and triangle.area > 1e-9:
res_poly = res_poly.difference(triangle)
except ZeroDivisionError:
continue
return [res_poly]
return [arc_poly]
@ -135,7 +179,9 @@ class Bend90:
end_port = Port(ex, ey, float((start_port.orientation + turn_angle) % 360))
arc_polys = _get_arc_polygons(cx, cy, radius, width, t_start, t_end, sagitta)
collision_polys = _apply_collision_model(arc_polys[0], collision_type, radius, clip_margin)
collision_polys = _apply_collision_model(
arc_polys[0], collision_type, radius, width, cx, cy, clip_margin
)
return ComponentResult(geometry=collision_polys, end_port=end_port, length=radius * np.pi / 2.0)
@ -181,5 +227,13 @@ class SBend:
arc2 = _get_arc_polygons(cx2, cy2, radius, width, ts2, te2, sagitta)[0]
combined_arc = unary_union([arc1, arc2])
collision_polys = _apply_collision_model(combined_arc, collision_type, radius, clip_margin)
if collision_type == "clipped_bbox":
col1 = _apply_collision_model(arc1, collision_type, radius, width, cx1, cy1, clip_margin)
col2 = _apply_collision_model(arc2, collision_type, radius, width, cx2, cy2, clip_margin)
collision_polys = [unary_union(col1 + col2)]
else:
collision_polys = _apply_collision_model(
combined_arc, collision_type, radius, width, 0, 0, clip_margin
)
return ComponentResult(geometry=collision_polys, end_port=end_port, length=2 * radius * theta)

View file

@ -189,7 +189,7 @@ class AStarRouter:
lengths = self.config.straight_lengths
if dist < 5.0:
fine_steps = [0.1, 0.5]
lengths = sorted(list(set(lengths + fine_steps)))
lengths = sorted(set(lengths + fine_steps))
for length in lengths:
res = Straight.generate(current.port, length, net_width)
@ -255,7 +255,9 @@ class AStarRouter:
else:
hard_coll = False
for poly in result.geometry:
if self.cost_evaluator.collision_engine.is_collision(poly, net_width, start_port=parent.port, end_port=result.end_port):
if self.cost_evaluator.collision_engine.check_collision(
poly, net_id, buffer_mode="static", start_port=parent.port, end_port=result.end_port
):
hard_coll = True
break
self._collision_cache[cache_key] = hard_coll
@ -300,8 +302,6 @@ class AStarRouter:
# Turn penalties scaled by radius to favor larger turns
ref_radius = 10.0
if "B" in move_type and move_radius is not None:
# Scale penalty: larger radius -> smaller penalty
# e.g. radius 10 -> factor 1.0, radius 30 -> factor 0.33
penalty_factor = ref_radius / move_radius
move_cost += self.config.bend_penalty * penalty_factor
elif "SB" in move_type and move_radius is not None:

View file

@ -1,10 +1,8 @@
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Literal, TYPE_CHECKING, Any
from typing import Literal, Any
if TYPE_CHECKING:
from shapely.geometry import Polygon
@dataclass

View file

@ -74,24 +74,23 @@ class CostEvaluator:
_ = net_width # Unused
total_cost = length * self.unit_length_cost
# 1. Hard Collision check (Static obstacles)
# We buffer by the full clearance to ensure distance >= clearance
hard_dilation = self.collision_engine.clearance
for poly in geometry:
dilated_poly = poly.buffer(hard_dilation)
if self.collision_engine.is_collision_prebuffered(dilated_poly, start_port=start_port, end_port=end_port):
return 1e15 # Impossible cost for hard collisions
# 1. Boundary Check (Centerline based for compatibility)
if not self.danger_map.is_within_bounds(end_port.x, end_port.y):
return 1e15
# 2. Soft Collision check (Negotiated Congestion)
# We buffer by clearance/2 because both paths are buffered by clearance/2
soft_dilation = self.collision_engine.clearance / 2.0
# 2. Collision Check
for poly in geometry:
dilated_poly = poly.buffer(soft_dilation)
overlaps = self.collision_engine.count_congestion_prebuffered(dilated_poly, net_id)
if overlaps > 0:
# Hard Collision (Static obstacles)
if self.collision_engine.check_collision(
poly, net_id, buffer_mode="static", start_port=start_port, end_port=end_port
):
return 1e15
# Soft Collision (Negotiated Congestion)
overlaps = self.collision_engine.check_collision(poly, net_id, buffer_mode="congestion")
if isinstance(overlaps, int) and overlaps > 0:
total_cost += overlaps * self.congestion_penalty
# 3. Proximity cost from Danger Map
total_cost += self.g_proximity(end_port.x, end_port.y)
return total_cost

View file

@ -3,13 +3,14 @@ from __future__ import annotations
from typing import TYPE_CHECKING
import numpy as np
import shapely
if TYPE_CHECKING:
from shapely.geometry import Polygon
class DangerMap:
"""A pre-computed grid for heuristic proximity costs."""
"""A pre-computed grid for heuristic proximity costs, vectorized for performance."""
def __init__(
self,
@ -28,47 +29,36 @@ class DangerMap:
self.width_cells = int(np.ceil((self.maxx - self.minx) / self.resolution))
self.height_cells = int(np.ceil((self.maxy - self.miny) / self.resolution))
# Use uint8 for memory efficiency if normalized, or float16/float32.
# Let's use float32 for simplicity and precision in the prototype.
# For a 1000x1000 grid, this is only 4MB.
# For 20000x20000, it's 1.6GB.
self.grid = np.zeros((self.width_cells, self.height_cells), dtype=np.float32)
def precompute(self, obstacles: list[Polygon]) -> None:
"""Pre-compute the proximity costs for the entire grid."""
# For each cell, find distance to nearest obstacle.
# This is a distance transform problem.
# For the prototype, we can use a simpler approach or scipy.ndimage.distance_transform_edt.
"""Pre-compute the proximity costs for the entire grid using vectorized operations."""
from scipy.ndimage import distance_transform_edt
# Create a binary mask of obstacles
# 1. Create a binary mask of obstacles
mask = np.ones((self.width_cells, self.height_cells), dtype=bool)
# Rasterize obstacles (simplified: mark cells whose center is inside an obstacle)
# This is slow for many obstacles; in a real engine, we'd use a faster rasterizer.
from shapely.geometry import Point
# Create coordinate grids
x_coords = np.linspace(self.minx + self.resolution/2, self.maxx - self.resolution/2, self.width_cells)
y_coords = np.linspace(self.miny + self.resolution/2, self.maxy - self.resolution/2, self.height_cells)
xv, yv = np.meshgrid(x_coords, y_coords, indexing='ij')
for poly in obstacles:
# Get bounding box in grid coordinates
p_minx, p_miny, p_maxx, p_maxy = poly.bounds
x_start = max(0, int((p_minx - self.minx) / self.resolution))
x_end = min(self.width_cells, int((p_maxx - self.minx) / self.resolution) + 1)
y_start = max(0, int((p_miny - self.miny) / self.resolution))
y_end = min(self.height_cells, int((p_maxy - self.miny) / self.resolution) + 1)
# Use shapely.contains_xy for fast vectorized point-in-polygon check
in_poly = shapely.contains_xy(poly, xv, yv)
mask[in_poly] = False
for ix in range(x_start, x_end):
cx = self.minx + (ix + 0.5) * self.resolution
for iy in range(y_start, y_end):
cy = self.miny + (iy + 0.5) * self.resolution
if poly.contains(Point(cx, cy)):
mask[ix, iy] = False
# Distance transform (mask=True for empty space)
# 2. Distance transform (mask=True for empty space)
distances = distance_transform_edt(mask) * self.resolution
# Proximity cost: k / d^2 if d < threshold, else 0
# To avoid division by zero, we cap distances at a small epsilon (e.g. 0.1um)
# 3. Proximity cost: k / d^2 if d < threshold, else 0
# Cap distances at a small epsilon (e.g. 0.1um) to avoid division by zero
safe_distances = np.maximum(distances, 0.1)
self.grid = np.where(distances < self.safety_threshold, self.k / (safe_distances**2), 0.0).astype(np.float32)
self.grid = np.where(
distances < self.safety_threshold,
self.k / (safe_distances**2),
0.0
).astype(np.float32)
def is_within_bounds(self, x: float, y: float) -> bool:
"""Check if a coordinate is within the design bounds."""

View file

@ -79,7 +79,7 @@ class PathFinder:
logger.debug(f" Net {net_id} routed in {time.monotonic() - net_start:.4f}s")
if path:
# 3. Add to R-Tree
# 3. Add to index
all_geoms = []
for res in path:
all_geoms.extend(res.geometry)
@ -88,7 +88,11 @@ class PathFinder:
# Check if this new path has any congestion
collision_count = 0
for poly in all_geoms:
collision_count += self.cost_evaluator.collision_engine.count_congestion(poly, net_id)
overlaps = self.cost_evaluator.collision_engine.check_collision(
poly, net_id, buffer_mode="congestion"
)
if isinstance(overlaps, int):
collision_count += overlaps
if collision_count > 0:
any_congestion = True
@ -120,9 +124,12 @@ class PathFinder:
collision_count = 0
for comp in res.path:
for poly in comp.geometry:
collision_count += self.cost_evaluator.collision_engine.count_congestion(poly, net_id)
overlaps = self.cost_evaluator.collision_engine.check_collision(
poly, net_id, buffer_mode="congestion"
)
if isinstance(overlaps, int):
collision_count += overlaps
final_results[net_id] = RoutingResult(net_id, res.path, collision_count == 0, collision_count)
return final_results

View file

@ -1,6 +1,4 @@
import numpy as np
import pytest
from shapely.geometry import Point
from inire.geometry.components import Bend90, SBend, Straight
from inire.geometry.primitives import Port, rotate_port, translate_port

View file

@ -3,8 +3,7 @@ from __future__ import annotations
import numpy as np
from typing import TYPE_CHECKING, Any
from shapely.geometry import Point, Polygon
from shapely.ops import unary_union
from shapely.geometry import Polygon
if TYPE_CHECKING:
from inire.geometry.primitives import Port