tiered bbox

examples/05_orientation_stress.py

@@ -18,7 +18,8 @@ def main() -> None:
     danger_map.precompute([])
 
     evaluator = CostEvaluator(engine, danger_map, greedy_h_weight=1.1)
-    router = AStarRouter(evaluator, node_limit=100000)
+#    router = AStarRouter(evaluator, node_limit=100000)
+    router = AStarRouter(evaluator, node_limit=100000, bend_collision_type="clipped_bbox", bend_clip_margin=1.0)
     pf = PathFinder(router, evaluator)
 
     # 2. Define Netlist with various orientation challenges

inire/geometry/collision.py

@@ -1,66 +1,134 @@
 from __future__ import annotations
 
 from typing import TYPE_CHECKING, Literal
-
 import rtree
-from shapely.geometry import Point, Polygon
 from shapely.prepared import prep
 
 if TYPE_CHECKING:
+    from shapely.geometry import Polygon
     from shapely.prepared import PreparedGeometry
     from inire.geometry.primitives import Port
 
 
 class CollisionEngine:
-    """Manages spatial queries for collision detection with unified dilation logic."""
+    """
+    Manages spatial queries for collision detection with unified dilation logic.
+    """
+    __slots__ = (
+        'clearance', 'max_net_width', 'safety_zone_radius',
+        'static_index', 'static_geometries', 'static_dilated', 'static_prepared', '_static_id_counter',
+        'dynamic_index', 'dynamic_geometries', 'dynamic_dilated', 'dynamic_prepared', '_dynamic_id_counter'
+    )
 
-    def __init__(self, clearance: float, max_net_width: float = 2.0, safety_zone_radius: float = 0.0021) -> None:
+    clearance: float
+    """ Minimum required distance between any two waveguides or obstacles """
+
+    max_net_width: float
+    """ Maximum width of any net in the session (used for pre-dilation) """
+
+    safety_zone_radius: float
+    """ Radius around ports where collisions are ignored """
+
+    def __init__(
+            self,
+            clearance: float,
+            max_net_width: float = 2.0,
+            safety_zone_radius: float = 0.0021,
+            ) -> None:
+        """
+        Initialize the Collision Engine.
+
+        Args:
+            clearance: Minimum required distance (um).
+            max_net_width: Maximum net width (um).
+            safety_zone_radius: Safety radius around ports (um).
+        """
         self.clearance = clearance
         self.max_net_width = max_net_width
         self.safety_zone_radius = safety_zone_radius
 
-        # Static obstacles: store raw geometries to avoid double-dilation
+        # Static obstacles
         self.static_index = rtree.index.Index()
-        self.static_geometries: dict[int, Polygon] = {}  # ID -> Polygon
+        self.static_geometries: dict[int, Polygon] = {}  # ID -> Raw Polygon
-        self.static_prepared: dict[int, PreparedGeometry] = {}  # ID -> PreparedGeometry
+        self.static_dilated: dict[int, Polygon] = {}     # ID -> Dilated Polygon (by clearance)
+        self.static_prepared: dict[int, PreparedGeometry] = {}  # ID -> Prepared Dilated
         self._static_id_counter = 0
 
         # Dynamic paths for multi-net congestion
         self.dynamic_index = rtree.index.Index()
         # obj_id -> (net_id, raw_geometry)
         self.dynamic_geometries: dict[int, tuple[str, Polygon]] = {}
+        # obj_id -> dilated_geometry (by clearance/2)
+        self.dynamic_dilated: dict[int, Polygon] = {}
+        self.dynamic_prepared: dict[int, PreparedGeometry] = {}
         self._dynamic_id_counter = 0
 
     def add_static_obstacle(self, polygon: Polygon) -> None:
-        """Add a static obstacle (raw geometry) to the engine."""
+        """
+        Add a static obstacle to the engine.
+
+        Args:
+            polygon: Raw obstacle geometry.
+        """
         obj_id = self._static_id_counter
         self._static_id_counter += 1
 
+        dilated = polygon.buffer(self.clearance)
         self.static_geometries[obj_id] = polygon
-        self.static_prepared[obj_id] = prep(polygon)
+        self.static_dilated[obj_id] = dilated
-        self.static_index.insert(obj_id, polygon.bounds)
+        self.static_prepared[obj_id] = prep(dilated)
+        self.static_index.insert(obj_id, dilated.bounds)
 
-    def add_path(self, net_id: str, geometry: list[Polygon]) -> None:
+    def add_path(self, net_id: str, geometry: list[Polygon], dilated_geometry: list[Polygon] | None = None) -> None:
-        """Add a net's routed path (raw geometry) to the dynamic index."""
+        """
-        for poly in geometry:
+        Add a net's routed path to the dynamic index.
+
+        Args:
+            net_id: Identifier for the net.
+            geometry: List of raw polygons in the path.
+            dilated_geometry: Optional list of pre-dilated polygons (by clearance/2).
+        """
+        dilation = self.clearance / 2.0
+        for i, poly in enumerate(geometry):
             obj_id = self._dynamic_id_counter
             self._dynamic_id_counter += 1
+            
+            dil = dilated_geometry[i] if dilated_geometry else poly.buffer(dilation)
+            
             self.dynamic_geometries[obj_id] = (net_id, poly)
-            self.dynamic_index.insert(obj_id, poly.bounds)
+            self.dynamic_dilated[obj_id] = dil
+            self.dynamic_prepared[obj_id] = prep(dil)
+            self.dynamic_index.insert(obj_id, dil.bounds)
 
     def remove_path(self, net_id: str) -> None:
-        """Remove a net's path from the dynamic index."""
+        """
+        Remove a net's path from the dynamic index.
+
+        Args:
+            net_id: Identifier for the net to remove.
+        """
         to_remove = [obj_id for obj_id, (nid, _) in self.dynamic_geometries.items() if nid == net_id]
         for obj_id in to_remove:
             nid, poly = self.dynamic_geometries.pop(obj_id)
-            self.dynamic_index.delete(obj_id, poly.bounds)
+            dilated = self.dynamic_dilated.pop(obj_id)
+            self.dynamic_prepared.pop(obj_id)
+            self.dynamic_index.delete(obj_id, dilated.bounds)
 
     def lock_net(self, net_id: str) -> None:
-        """Move a net's dynamic path to static obstacles permanently."""
+        """
+        Move a net's dynamic path to static obstacles permanently.
+
+        Args:
+            net_id: Identifier for the net to lock.
+        """
         to_move = [obj_id for obj_id, (nid, _) in self.dynamic_geometries.items() if nid == net_id]
         for obj_id in to_move:
             nid, poly = self.dynamic_geometries.pop(obj_id)
-            self.dynamic_index.delete(obj_id, poly.bounds)
+            dilated = self.dynamic_dilated.pop(obj_id)
+            self.dynamic_prepared.pop(obj_id)
+            self.dynamic_index.delete(obj_id, dilated.bounds)
+            # Re-buffer for static clearance if necessary. 
+            # Note: dynamic is clearance/2, static is clearance.
             self.add_static_obstacle(poly)
 
     def is_collision(
@@ -68,74 +136,95 @@ class CollisionEngine:
             geometry: Polygon,
             net_width: float = 2.0,
             start_port: Port | None = None,
-        end_port: Port | None = None
+            end_port: Port | None = None,
             ) -> bool:
-        """Alias for check_collision(buffer_mode='static') for backward compatibility."""
+        """
+        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)
+        res = self.check_collision(geometry, 'default', buffer_mode='static', start_port=start_port, end_port=end_port)
         return bool(res)
 
     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")
+        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,
             geometry: Polygon,
             net_id: str,
-        buffer_mode: Literal["static", "congestion"] = "static",
+            buffer_mode: Literal['static', 'congestion'] = 'static',
             start_port: Port | None = None,
-        end_port: Port | None = None
+            end_port: Port | None = None,
+            dilated_geometry: Polygon | None = None,
             ) -> bool | int:
         """
         Check for collisions using unified dilation logic.
 
-        If buffer_mode == "static":
+        Args:
-            Returns True if geometry collides with static obstacles (buffered by full clearance).
+            geometry: Raw geometry to check.
-        If buffer_mode == "congestion":
+            net_id: Identifier for the net.
-            Returns count of other nets colliding with geometry (both buffered by clearance/2).
+            buffer_mode: 'static' (full clearance) or 'congestion' (shared).
+            start_port: Optional start port for safety zone.
+            end_port: Optional end port for safety zone.
+            dilated_geometry: Optional pre-buffered geometry (clearance/2).
+
+        Returns:
+            Boolean if static, integer count if congestion.
         """
-        if buffer_mode == "static":
+        if buffer_mode == 'static':
-            # Buffered move vs raw static obstacle
+            # Use raw query against pre-dilated obstacles
-            # Distance must be >= clearance
+            candidates = self.static_index.intersection(geometry.bounds)
-            test_poly = geometry.buffer(self.clearance)
-            candidates = self.static_index.intersection(test_poly.bounds)
 
             for obj_id in candidates:
-                if self.static_prepared[obj_id].intersects(test_poly):
+                if self.static_prepared[obj_id].intersects(geometry):
-                    # Safety zone check (using exact intersection area/bounds)
                     if start_port or end_port:
-                        intersection = test_poly.intersection(self.static_geometries[obj_id])
+                        # Optimization: Skip expensive intersection if neither port is near the obstacle's bounds
-                        if intersection.is_empty:
+                        # (Plus a small margin for safety zone)
-                            continue
+                        sz = self.safety_zone_radius
+                        is_near_port = False
+                        for p in [start_port, end_port]:
+                            if p:
+                                # Quick bounds check
+                                b = self.static_dilated[obj_id].bounds
+                                if (b[0] - sz <= p.x <= b[2] + sz and 
+                                    b[1] - sz <= p.y <= b[3] + sz):
+                                    is_near_port = True
+                                    break
                         
+                        if not is_near_port:
+                            return True # Collision, and not near any port safety zone
+
+                        # Only if near port, do the expensive check
+                        raw_obstacle = self.static_geometries[obj_id]
+                        intersection = geometry.intersection(raw_obstacle)
+                        if not intersection.is_empty:
                             ix_minx, ix_miny, ix_maxx, ix_maxy = intersection.bounds
-                        
                             is_safe = False
                             for p in [start_port, end_port]:
-                            if p and (abs(ix_minx - p.x) < self.safety_zone_radius and 
+                                if p and (abs(ix_minx - p.x) < sz and
-                                      abs(ix_maxx - p.x) < self.safety_zone_radius and
+                                          abs(ix_maxx - p.x) < sz and
-                                      abs(ix_miny - p.y) < self.safety_zone_radius and 
+                                          abs(ix_miny - p.y) < sz and
-                                      abs(ix_maxy - p.y) < self.safety_zone_radius):
+                                          abs(ix_maxy - p.y) < sz):
                                     is_safe = True
                                     break
+                            
                             if is_safe:
                                 continue
                     return True
             return False
 
-        else: # buffer_mode == "congestion"
+        # buffer_mode == 'congestion'
-            # Both paths buffered by clearance/2 => Total separation = clearance
         dilation = self.clearance / 2.0
-            test_poly = geometry.buffer(dilation)
+        test_poly = dilated_geometry if dilated_geometry else 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]
+            other_net_id, _ = self.dynamic_geometries[obj_id]
-                if other_net_id != net_id:
+            if other_net_id != net_id and self.dynamic_prepared[obj_id].intersects(test_poly):
-                    # Buffer the other path segment too
-                    if test_poly.intersects(other_poly.buffer(dilation)):
                 count += 1
         return count

inire/geometry/components.py

@@ -1,86 +1,300 @@
 from __future__ import annotations
 
-from typing import NamedTuple, Literal, Any
+from typing import Literal, cast
-
+import numpy
-import numpy as np
+import shapely
 from shapely.geometry import Polygon, box
 from shapely.ops import unary_union
 
 from .primitives import Port
 
+
+
 # Search Grid Snap (1.0 µm)
 SEARCH_GRID_SNAP_UM = 1.0
 
 
 def snap_search_grid(value: float) -> float:
-    """Snap a coordinate to the nearest search grid unit."""
+    """
+    Snap a coordinate to the nearest search grid unit.
+
+    Args:
+        value: Value to snap.
+
+    Returns:
+        Snapped value.
+    """
     return round(value / SEARCH_GRID_SNAP_UM) * SEARCH_GRID_SNAP_UM
 
 
-class ComponentResult(NamedTuple):
+class ComponentResult:
-    """The result of a component generation: geometry, final port, and physical length."""
+    """
+    The result of a component generation: geometry, final port, and physical length.
+    """
+    __slots__ = ('geometry', 'dilated_geometry', 'end_port', 'length', 'bounds', 'dilated_bounds')
 
     geometry: list[Polygon]
+    """ List of polygons representing the component geometry """
+
+    dilated_geometry: list[Polygon] | None
+    """ Optional list of pre-dilated polygons for collision optimization """
+
     end_port: Port
+    """ The final port after the component """
+
     length: float
+    """ Physical length of the component path """
+
+    bounds: numpy.ndarray
+    """ Pre-calculated bounds for each polygon in geometry """
+
+    dilated_bounds: numpy.ndarray | None
+    """ Pre-calculated bounds for each polygon in dilated_geometry """
+
+    def __init__(
+            self,
+            geometry: list[Polygon],
+            end_port: Port,
+            length: float,
+            dilated_geometry: list[Polygon] | None = None,
+            ) -> None:
+        self.geometry = geometry
+        self.dilated_geometry = dilated_geometry
+        self.end_port = end_port
+        self.length = length
+        # Vectorized bounds calculation
+        self.bounds = shapely.bounds(geometry)
+        self.dilated_bounds = shapely.bounds(dilated_geometry) if dilated_geometry is not None else None
+
+    def translate(self, dx: float, dy: float) -> ComponentResult:
+        """
+        Create a new ComponentResult translated by (dx, dy).
+        """
+        # Vectorized translation if possible, else list comp
+        # Shapely 2.x affinity functions still work on single geometries efficiently
+        geoms = list(self.geometry)
+        num_geom = len(self.geometry)
+        if self.dilated_geometry is not None:
+            geoms.extend(self.dilated_geometry)
+        
+        from shapely.affinity import translate
+        translated = [translate(p, dx, dy) for p in geoms]
+        
+        new_geom = translated[:num_geom]
+        new_dil = translated[num_geom:] if self.dilated_geometry is not None else None
+        
+        new_port = Port(self.end_port.x + dx, self.end_port.y + dy, self.end_port.orientation)
+        return ComponentResult(new_geom, new_port, self.length, new_dil)
+
+
+
+
 
 
 class Straight:
+    """
+    Move generator for straight waveguide segments.
+    """
     @staticmethod
-    def generate(start_port: Port, length: float, width: float, snap_to_grid: bool = True) -> ComponentResult:
+    def generate(
-        """Generate a straight waveguide segment."""
+            start_port: Port,
-        rad = np.radians(start_port.orientation)
+            length: float,
-        dx = length * np.cos(rad)
+            width: float,
-        dy = length * np.sin(rad)
+            snap_to_grid: bool = True,
+            dilation: float = 0.0,
+            ) -> ComponentResult:
+        """
+        Generate a straight waveguide segment.
 
-        ex = start_port.x + dx
+        Args:
-        ey = start_port.y + dy
+            start_port: Port to start from.
+            length: Requested length.
+            width: Waveguide width.
+            snap_to_grid: Whether to snap the end port to the search grid.
+            dilation: Optional dilation distance for pre-calculating collision geometry.
+
+        Returns:
+            A ComponentResult containing the straight segment.
+        """
+        rad = numpy.radians(start_port.orientation)
+        cos_val = numpy.cos(rad)
+        sin_val = numpy.sin(rad)
+
+        ex = start_port.x + length * cos_val
+        ey = start_port.y + length * sin_val
 
         if snap_to_grid:
             ex = snap_search_grid(ex)
             ey = snap_search_grid(ey)
 
         end_port = Port(ex, ey, start_port.orientation)
-        actual_length = np.sqrt((end_port.x - start_port.x)**2 + (end_port.y - start_port.y)**2)
+        actual_length = numpy.sqrt((end_port.x - start_port.x)**2 + (end_port.y - start_port.y)**2)
 
-        # Create polygon
+        # Create polygons using vectorized points
         half_w = width / 2.0
-        # Points relative to start port (0,0)
+        pts_raw = numpy.array([
-        points = [(0, half_w), (actual_length, half_w), (actual_length, -half_w), (0, -half_w)]
+            [0, half_w], 
+            [actual_length, half_w], 
+            [actual_length, -half_w], 
+            [0, -half_w]
+        ])
         
-        # Transform points
+        # Rotation matrix (standard 2D rotation)
-        cos_val = np.cos(rad)
+        rot_matrix = numpy.array([[cos_val, -sin_val], [sin_val, cos_val]])
-        sin_val = np.sin(rad)
-        poly_points = []
-        for px, py in points:
-            tx = start_port.x + px * cos_val - py * sin_val
-            ty = start_port.y + px * sin_val + py * cos_val
-            poly_points.append((tx, ty))
         
-        return ComponentResult(geometry=[Polygon(poly_points)], end_port=end_port, length=actual_length)
+        # Transform points: P' = R * P + T
+        poly_points = (pts_raw @ rot_matrix.T) + [start_port.x, start_port.y]
+        geom = [Polygon(poly_points)]
+
+        dilated_geom = None
+        if dilation > 0:
+            # Direct calculation of dilated rectangle instead of expensive buffer()
+            half_w_dil = half_w + dilation
+            pts_dil = numpy.array([
+                [-dilation, half_w_dil], 
+                [actual_length + dilation, half_w_dil], 
+                [actual_length + dilation, -half_w_dil], 
+                [-dilation, -half_w_dil]
+            ])
+            poly_points_dil = (pts_dil @ rot_matrix.T) + [start_port.x, start_port.y]
+            dilated_geom = [Polygon(poly_points_dil)]
+
+        return ComponentResult(geometry=geom, end_port=end_port, length=actual_length, dilated_geometry=dilated_geom)
 
 
 def _get_num_segments(radius: float, angle_deg: float, sagitta: float = 0.01) -> int:
-    """Calculate number of segments for an arc to maintain a maximum sagitta."""
+    """
+    Calculate number of segments for an arc to maintain a maximum sagitta.
+
+    Args:
+        radius: Arc radius.
+        angle_deg: Total angle turned.
+        sagitta: Maximum allowed deviation.
+
+    Returns:
+        Minimum number of segments needed.
+    """
     if radius <= 0:
         return 1
     ratio = max(0.0, min(1.0, 1.0 - sagitta / radius))
-    theta_max = 2.0 * np.arccos(ratio)
+    theta_max = 2.0 * numpy.arccos(ratio)
     if theta_max < 1e-9:
         return 16
-    num = int(np.ceil(np.radians(abs(angle_deg)) / theta_max))
+    num = int(numpy.ceil(numpy.radians(abs(angle_deg)) / theta_max))
     return max(8, num)
 
 
-def _get_arc_polygons(cx: float, cy: float, radius: float, width: float, t_start: float, t_end: float, sagitta: float = 0.01) -> list[Polygon]:
+def _get_arc_polygons(
-    """Helper to generate arc-shaped polygons."""
+        cx: float,
-    num_segments = _get_num_segments(radius, float(np.degrees(abs(t_end - t_start))), sagitta)
+        cy: float,
-    angles = np.linspace(t_start, t_end, num_segments + 1)
+        radius: float,
-    inner_radius = radius - width / 2.0
+        width: float,
-    outer_radius = radius + width / 2.0
+        t_start: float,
-    inner_points = [(cx + inner_radius * np.cos(a), cy + inner_radius * np.sin(a)) for a in angles]
+        t_end: float,
-    outer_points = [(cx + outer_radius * np.cos(a), cy + outer_radius * np.sin(a)) for a in reversed(angles)]
+        sagitta: float = 0.01,
-    return [Polygon(inner_points + outer_points)]
+        dilation: float = 0.0,
+        ) -> list[Polygon]:
+    """
+    Helper to generate arc-shaped polygons using vectorized NumPy operations.
+
+    Args:
+        cx, cy: Center coordinates.
+        radius: Arc radius.
+        width: Waveguide width.
+        t_start, t_end: Start and end angles (radians).
+        sagitta: Geometric fidelity.
+        dilation: Optional dilation to apply directly to the arc.
+
+    Returns:
+        List containing the arc polygon.
+    """
+    num_segments = _get_num_segments(radius, float(numpy.degrees(abs(t_end - t_start))), sagitta)
+    angles = numpy.linspace(t_start, t_end, num_segments + 1)
+    
+    cos_a = numpy.cos(angles)
+    sin_a = numpy.sin(angles)
+    
+    inner_radius = radius - width / 2.0 - dilation
+    outer_radius = radius + width / 2.0 + dilation
+    
+    inner_points = numpy.stack([cx + inner_radius * cos_a, cy + inner_radius * sin_a], axis=1)
+    outer_points = numpy.stack([cx + outer_radius * cos_a[::-1], cy + outer_radius * sin_a[::-1]], axis=1)
+    
+    # Concatenate inner and outer points to form the polygon ring
+    poly_points = numpy.concatenate([inner_points, outer_points])
+    
+    return [Polygon(poly_points)]
+
+
+def _clip_bbox(
+        bbox: Polygon,
+        cx: float,
+        cy: float,
+        radius: float,
+        width: float,
+        clip_margin: float,
+        arc_poly: Polygon,
+        ) -> Polygon:
+    """
+    Clips corners of a bounding box for better collision modeling using direct vertex manipulation.
+    """
+    # Determination of which corners to clip
+    ac = arc_poly.centroid
+    qsx = 1.0 if ac.x >= cx else -1.0
+    qsy = 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
+
+    minx, miny, maxx, maxy = bbox.bounds
+    # Initial vertices: [minx,miny], [maxx,miny], [maxx,maxy], [minx,maxy]
+    verts = [
+        numpy.array([minx, miny]),
+        numpy.array([maxx, miny]),
+        numpy.array([maxx, maxy]),
+        numpy.array([minx, maxy])
+    ]
+
+    new_verts = []
+    for p in verts:
+        dx, dy = p[0] - cx, p[1] - cy
+        dist = numpy.sqrt(dx**2 + dy**2)
+
+        # Normal vector components from center to corner
+        sx = 1.0 if dx > 1e-6 else (-1.0 if dx < -1e-6 else qsx)
+        sy = 1.0 if dy > 1e-6 else (-1.0 if dy < -1e-6 else qsy)
+
+        d_line = -1.0
+        if dist > r_out_cut:
+            d_line = r_out_cut * numpy.sqrt(2)
+        elif r_in_cut > 0 and dist < r_in_cut:
+            d_line = r_in_cut
+        
+        if d_line > 0:
+            # This corner needs clipping. Replace one vertex with two at intersection of line and edges.
+            # Line: sx*(x-cx) + sy*(y-cy) = d_line
+            # Edge x=px: y = cy + (d_line - sx*(px-cx))/sy
+            # Edge y=py: x = cx + (d_line - sy*(py-cy))/sx
+            try:
+                p_edge_x = numpy.array([p[0], cy + (d_line - sx * (p[0] - cx)) / sy])
+                p_edge_y = numpy.array([cx + (d_line - sy * (p[1] - cy)) / sx, p[1]])
+                # Order matters for polygon winding.
+                # If we are at [minx, miny] and moving CCW towards [maxx, miny]:
+                # If we clip this corner, we should add p_edge_y then p_edge_x (or vice versa depending on orientation)
+                # For simplicity, we can just add both and let Polygon sort it out if it's convex,
+                # but better to be precise.
+                # Since we know the bounding box orientation, we can determine order.
+                # BUT: Difference was safer. Let's try a simpler approach:
+                # Just collect all possible vertices and use convex_hull if it's guaranteed convex.
+                # A clipped bbox is always convex.
+                new_verts.append(p_edge_x)
+                new_verts.append(p_edge_y)
+            except ZeroDivisionError:
+                new_verts.append(p)
+        else:
+            new_verts.append(p)
+
+    return Polygon(new_verts).convex_hull
 
 
 def _apply_collision_model(
@@ -90,9 +304,22 @@ def _apply_collision_model(
         width: float,
         cx: float = 0.0,
         cy: float = 0.0,
-    clip_margin: float = 10.0
+        clip_margin: float = 10.0,
-) -> list[Polygon]:
+        ) -> list[Polygon]:
-    """Applies the specified collision model to an arc geometry."""
+    """
+    Applies the specified collision model to an arc geometry.
+
+    Args:
+        arc_poly: High-fidelity arc.
+        collision_type: Model type or custom polygon.
+        radius: Arc radius.
+        width: Waveguide width.
+        cx, cy: Arc center.
+        clip_margin: Safety margin for clipping.
+
+    Returns:
+        List of polygons representing the collision model.
+    """
     if isinstance(collision_type, Polygon):
         return [collision_type]
 
@@ -107,54 +334,15 @@ def _apply_collision_model(
         return [bbox]
 
     if collision_type == "clipped_bbox":
-        res_poly = bbox
+        return [_clip_bbox(bbox, cx, cy, radius, width, clip_margin, arc_poly)]
-        
-        # 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]
 
 
 class Bend90:
+    """
+    Move generator for 90-degree bends.
+    """
     @staticmethod
     def generate(
             start_port: Port,
@@ -163,19 +351,35 @@ class Bend90:
             direction: str = "CW",
             sagitta: float = 0.01,
             collision_type: Literal["arc", "bbox", "clipped_bbox"] | Polygon = "arc",
-        clip_margin: float = 10.0
+            clip_margin: float = 10.0,
+            dilation: float = 0.0,
             ) -> ComponentResult:
-        """Generate a 90-degree bend."""
+        """
-        turn_angle = -90 if direction == "CW" else 90
+        Generate a 90-degree bend.
-        rad_start = np.radians(start_port.orientation)
-        c_angle = rad_start + (np.pi / 2 if direction == "CCW" else -np.pi / 2)
-        cx = start_port.x + radius * np.cos(c_angle)
-        cy = start_port.y + radius * np.sin(c_angle)
-        t_start = c_angle + np.pi
-        t_end = t_start + (np.pi / 2 if direction == "CCW" else -np.pi / 2)
 
-        ex = snap_search_grid(cx + radius * np.cos(t_end))
+        Args:
-        ey = snap_search_grid(cy + radius * np.sin(t_end))
+            start_port: Port to start from.
+            radius: Bend radius.
+            width: Waveguide width.
+            direction: "CW" or "CCW".
+            sagitta: Geometric fidelity.
+            collision_type: Collision model.
+            clip_margin: Margin for clipped_bbox.
+            dilation: Optional dilation distance for pre-calculating collision geometry.
+
+        Returns:
+            A ComponentResult containing the bend.
+        """
+        turn_angle = -90 if direction == "CW" else 90
+        rad_start = numpy.radians(start_port.orientation)
+        c_angle = rad_start + (numpy.pi / 2 if direction == "CCW" else -numpy.pi / 2)
+        cx = start_port.x + radius * numpy.cos(c_angle)
+        cy = start_port.y + radius * numpy.sin(c_angle)
+        t_start = c_angle + numpy.pi
+        t_end = t_start + (numpy.pi / 2 if direction == "CCW" else -numpy.pi / 2)
+
+        ex = snap_search_grid(cx + radius * numpy.cos(t_end))
+        ey = snap_search_grid(cy + radius * numpy.sin(t_end))
         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)
@@ -183,10 +387,26 @@ class Bend90:
             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)
+        dilated_geom = None
+        if dilation > 0:
+            if collision_type == "arc":
+                dilated_geom = _get_arc_polygons(cx, cy, radius, width, t_start, t_end, sagitta, dilation=dilation)
+            else:
+                # For bbox or clipped_bbox, buffer the model itself (which is simpler than buffering the high-fidelity arc)
+                dilated_geom = [p.buffer(dilation) for p in collision_polys]
+
+        return ComponentResult(
+            geometry=collision_polys, 
+            end_port=end_port, 
+            length=radius * numpy.pi / 2.0,
+            dilated_geometry=dilated_geom
+        )
 
 
 class SBend:
+    """
+    Move generator for parametric S-bends.
+    """
     @staticmethod
     def generate(
             start_port: Port,
@@ -195,45 +415,77 @@ class SBend:
             width: float,
             sagitta: float = 0.01,
             collision_type: Literal["arc", "bbox", "clipped_bbox"] | Polygon = "arc",
-        clip_margin: float = 10.0
+            clip_margin: float = 10.0,
+            dilation: float = 0.0,
             ) -> ComponentResult:
-        """Generate a parametric S-bend (two tangent arcs)."""
+        """
+        Generate a parametric S-bend (two tangent arcs).
+
+        Args:
+            start_port: Port to start from.
+            offset: Lateral offset.
+            radius: Arc radii.
+            width: Waveguide width.
+            sagitta: Geometric fidelity.
+            collision_type: Collision model.
+            clip_margin: Margin for clipped_bbox.
+            dilation: Optional dilation distance for pre-calculating collision geometry.
+
+        Returns:
+            A ComponentResult containing the S-bend.
+        """
         if abs(offset) >= 2 * radius:
             raise ValueError(f"SBend offset {offset} must be less than 2*radius {2 * radius}")
 
-        theta = np.arccos(1 - abs(offset) / (2 * radius))
+        theta = numpy.arccos(1 - abs(offset) / (2 * radius))
-        dx = 2 * radius * np.sin(theta)
+        dx = 2 * radius * numpy.sin(theta)
         dy = offset
-        rad_start = np.radians(start_port.orientation)
+        rad_start = numpy.radians(start_port.orientation)
-        ex = snap_search_grid(start_port.x + dx * np.cos(rad_start) - dy * np.sin(rad_start))
+        ex = snap_search_grid(start_port.x + dx * numpy.cos(rad_start) - dy * numpy.sin(rad_start))
-        ey = snap_search_grid(start_port.y + dx * np.sin(rad_start) + dy * np.cos(rad_start))
+        ey = snap_search_grid(start_port.y + dx * numpy.sin(rad_start) + dy * numpy.cos(rad_start))
         end_port = Port(ex, ey, start_port.orientation)
 
         direction = 1 if offset > 0 else -1
-        c1_angle = rad_start + direction * np.pi / 2
+        c1_angle = rad_start + direction * numpy.pi / 2
-        cx1 = start_port.x + radius * np.cos(c1_angle)
+        cx1 = start_port.x + radius * numpy.cos(c1_angle)
-        cy1 = start_port.y + radius * np.sin(c1_angle)
+        cy1 = start_port.y + radius * numpy.sin(c1_angle)
-        ts1, te1 = c1_angle + np.pi, c1_angle + np.pi + direction * theta
+        ts1, te1 = c1_angle + numpy.pi, c1_angle + numpy.pi + direction * theta
 
-        ex_raw = start_port.x + dx * np.cos(rad_start) - dy * np.sin(rad_start)
+        ex_raw = start_port.x + dx * numpy.cos(rad_start) - dy * numpy.sin(rad_start)
-        ey_raw = start_port.y + dx * np.sin(rad_start) + dy * np.cos(rad_start)
+        ey_raw = start_port.y + dx * numpy.sin(rad_start) + dy * numpy.cos(rad_start)
-        c2_angle = rad_start - direction * np.pi / 2
+        c2_angle = rad_start - direction * numpy.pi / 2
-        cx2 = ex_raw + radius * np.cos(c2_angle)
+        cx2 = ex_raw + radius * numpy.cos(c2_angle)
-        cy2 = ey_raw + radius * np.sin(c2_angle)
+        cy2 = ey_raw + radius * numpy.sin(c2_angle)
-        te2 = c2_angle + np.pi
+        te2 = c2_angle + numpy.pi
         ts2 = te2 + direction * theta
 
         arc1 = _get_arc_polygons(cx1, cy1, radius, width, ts1, te1, sagitta)[0]
         arc2 = _get_arc_polygons(cx2, cy2, radius, width, ts2, te2, sagitta)[0]
-        combined_arc = unary_union([arc1, arc2])
 
         if collision_type == "clipped_bbox":
-            col1 = _apply_collision_model(arc1, collision_type, radius, width, cx1, cy1, clip_margin)
+            col1 = _apply_collision_model(arc1, collision_type, radius, width, cx1, cy1, clip_margin)[0]
-            col2 = _apply_collision_model(arc2, collision_type, radius, width, cx2, cy2, clip_margin)
+            col2 = _apply_collision_model(arc2, collision_type, radius, width, cx2, cy2, clip_margin)[0]
-            collision_polys = [unary_union(col1 + col2)]
+            # Optimization: keep as list instead of unary_union for search efficiency
+            collision_polys = [col1, col2]
         else:
-            collision_polys = _apply_collision_model(
+            # For other models, we can either combine or keep separate. 
-                combined_arc, collision_type, radius, width, 0, 0, clip_margin
+            # Keeping separate is generally better for CollisionEngine.
-            )
+            col1 = _apply_collision_model(arc1, collision_type, radius, width, cx1, cy1, clip_margin)[0]
+            col2 = _apply_collision_model(arc2, collision_type, radius, width, cx2, cy2, clip_margin)[0]
+            collision_polys = [col1, col2]
 
-        return ComponentResult(geometry=collision_polys, end_port=end_port, length=2 * radius * theta)
+        dilated_geom = None
+        if dilation > 0:
+            if collision_type == "arc":
+                d1 = _get_arc_polygons(cx1, cy1, radius, width, ts1, te1, sagitta, dilation=dilation)[0]
+                d2 = _get_arc_polygons(cx2, cy2, radius, width, ts2, te2, sagitta, dilation=dilation)[0]
+                dilated_geom = [d1, d2]
+            else:
+                dilated_geom = [p.buffer(dilation) for p in collision_polys]
+
+        return ComponentResult(
+            geometry=collision_polys, 
+            end_port=end_port, 
+            length=2 * radius * theta,
+            dilated_geometry=dilated_geom
+        )

inire/geometry/primitives.py

@@ -1,50 +1,111 @@
 from __future__ import annotations
-from dataclasses import dataclass
+
-import numpy as np
+import numpy
+
 
 # 1nm snap (0.001 µm)
 GRID_SNAP_UM = 0.001
 
+
 def snap_nm(value: float) -> float:
-    """Snap a coordinate to the nearest 1nm (0.001 um)."""
+    """
+    Snap a coordinate to the nearest 1nm (0.001 um).
+
+    Args:
+        value: Coordinate value to snap.
+
+    Returns:
+        Snapped coordinate value.
+    """
     return round(value / GRID_SNAP_UM) * GRID_SNAP_UM
 
-@dataclass(frozen=True)
-class Port:
-    """A port defined by (x, y, orientation) in micrometers."""
-    x: float
-    y: float
-    orientation: float  # Degrees: 0, 90, 180, 270
 
-    def __post_init__(self) -> None:
+class Port:
+    """
+    A port defined by (x, y, orientation) in micrometers.
+    """
+    __slots__ = ('x', 'y', 'orientation')
+
+    x: float
+    """ x-coordinate in micrometers """
+
+    y: float
+    """ y-coordinate in micrometers """
+
+    orientation: float
+    """ Orientation in degrees: 0, 90, 180, 270 """
+
+    def __init__(
+            self,
+            x: float,
+            y: float,
+            orientation: float,
+            ) -> None:
+        """
+        Initialize and snap a Port.
+
+        Args:
+            x: Initial x-coordinate.
+            y: Initial y-coordinate.
+            orientation: Initial orientation in degrees.
+        """
         # Snap x, y to 1nm
-        # We need to use object.__setattr__ because the dataclass is frozen.
+        self.x = snap_nm(x)
-        snapped_x = snap_nm(self.x)
+        self.y = snap_nm(y)
-        snapped_y = snap_nm(self.y)
 
         # Ensure orientation is one of {0, 90, 180, 270}
-        norm_orientation = int(round(self.orientation)) % 360
+        norm_orientation = int(round(orientation)) % 360
         if norm_orientation not in {0, 90, 180, 270}:
             norm_orientation = (round(norm_orientation / 90) * 90) % 360
 
-        object.__setattr__(self, "x", snapped_x)
+        self.orientation = float(norm_orientation)
-        object.__setattr__(self, "y", snapped_y)
+
-        object.__setattr__(self, "orientation", float(norm_orientation))
+    def __repr__(self) -> str:
+        return f'Port(x={self.x}, y={self.y}, orientation={self.orientation})'
+
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, Port):
+            return False
+        return (self.x == other.x and
+                self.y == other.y and
+                self.orientation == other.orientation)
+
+    def __hash__(self) -> int:
+        return hash((self.x, self.y, self.orientation))
 
 
 def translate_port(port: Port, dx: float, dy: float) -> Port:
-    """Translate a port by (dx, dy)."""
+    """
+    Translate a port by (dx, dy).
+
+    Args:
+        port: Port to translate.
+        dx: x-offset.
+        dy: y-offset.
+
+    Returns:
+        A new translated Port.
+    """
     return Port(port.x + dx, port.y + dy, port.orientation)
 
 
 def rotate_port(port: Port, angle: float, origin: tuple[float, float] = (0, 0)) -> Port:
-    """Rotate a port by a multiple of 90 degrees around an origin."""
+    """
+    Rotate a port by a multiple of 90 degrees around an origin.
+
+    Args:
+        port: Port to rotate.
+        angle: Angle to rotate by (degrees).
+        origin: (x, y) origin to rotate around.
+
+    Returns:
+        A new rotated Port.
+    """
     ox, oy = origin
     px, py = port.x, port.y
 
-    rad = np.radians(angle)
+    rad = numpy.radians(angle)
-    qx = ox + np.cos(rad) * (px - ox) - np.sin(rad) * (py - oy)
+    qx = ox + numpy.cos(rad) * (px - ox) - numpy.sin(rad) * (py - oy)
-    qy = oy + np.sin(rad) * (px - ox) + np.cos(rad) * (py - oy)
+    qy = oy + numpy.sin(rad) * (px - ox) + numpy.cos(rad) * (py - oy)
 
     return Port(qx, qy, port.orientation + angle)
-

inire/router/astar.py

@@ -2,22 +2,54 @@ from __future__ import annotations
 
 import heapq
 import logging
-from typing import TYPE_CHECKING, Literal
+import functools
+from typing import TYPE_CHECKING, Literal, Any
+import rtree
 
-import numpy as np
+import numpy
 
 from inire.geometry.components import Bend90, SBend, Straight
+from inire.geometry.primitives import Port
 from inire.router.config import RouterConfig
 
 if TYPE_CHECKING:
     from inire.geometry.components import ComponentResult
-    from inire.geometry.primitives import Port
     from inire.router.cost import CostEvaluator
 
 logger = logging.getLogger(__name__)
 
 
+@functools.total_ordering
 class AStarNode:
+    """
+    A node in the A* search graph.
+    """
+    __slots__ = ('port', 'g_cost', 'h_cost', 'f_cost', 'parent', 'component_result', 'count', 'path_bbox')
+
+    port: Port
+    """ Port representing the state at this node """
+
+    g_cost: float
+    """ Actual cost from start to this node """
+
+    h_cost: float
+    """ Heuristic cost from this node to target """
+
+    f_cost: float
+    """ Total estimated cost (g + h) """
+
+    parent: AStarNode | None
+    """ Parent node in the search tree """
+
+    component_result: ComponentResult | None
+    """ The component move that led to this node """
+
+    count: int
+    """ Unique insertion order for tie-breaking """
+
+    path_bbox: tuple[float, float, float, float] | None
+    """ Bounding box of the entire path up to this node """
+
     _count = 0
 
     def __init__(
@@ -37,6 +69,35 @@ class AStarNode:
         self.count = AStarNode._count
         AStarNode._count += 1
 
+        # Calculate path_bbox
+        if parent is None:
+            self.path_bbox = None
+        else:
+            # Union of parent's bbox and current move's bbox
+            if component_result:
+                # Merge all polygon bounds in the result
+                minx, miny, maxx, maxy = 1e15, 1e15, -1e15, -1e15
+                for b in component_result.dilated_bounds if component_result.dilated_bounds is not None else component_result.bounds:
+                    minx = min(minx, b[0])
+                    miny = min(miny, b[1])
+                    maxx = max(maxx, b[2])
+                    maxy = max(maxy, b[3])
+                
+                if parent.path_bbox:
+                    self.path_bbox = (
+                        min(minx, parent.path_bbox[0]),
+                        min(miny, parent.path_bbox[1]),
+                        max(maxx, parent.path_bbox[2]),
+                        max(maxy, parent.path_bbox[3])
+                    )
+                else:
+                    self.path_bbox = (minx, miny, maxx, maxy)
+            else:
+                self.path_bbox = parent.path_bbox
+
+
+
+
     def __lt__(self, other: AStarNode) -> bool:
         # Tie-breaking: lower f first, then lower h, then order
         if abs(self.f_cost - other.f_cost) > 1e-9:
@@ -45,9 +106,38 @@ class AStarNode:
             return self.h_cost < other.h_cost
         return self.count < other.count
 
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, AStarNode):
+            return False
+        return self.count == other.count
+
 
 class AStarRouter:
-    """Hybrid State-Lattice A* Router."""
+    """
+    Hybrid State-Lattice A* Router.
+    """
+    __slots__ = ('cost_evaluator', 'config', 'node_limit', 'total_nodes_expanded', '_collision_cache', '_move_cache', '_self_dilation')
+
+    cost_evaluator: CostEvaluator
+    """ The evaluator for path and proximity costs """
+
+    config: RouterConfig
+    """ Search configuration parameters """
+
+    node_limit: int
+    """ Maximum nodes to expand before failure """
+
+    total_nodes_expanded: int
+    """ Counter for debugging/profiling """
+
+    _collision_cache: dict[tuple[float, float, float, str, float, str], bool]
+    """ Internal cache for move collision checks """
+
+    _move_cache: dict[tuple[Any, ...], ComponentResult]
+    """ Internal cache for component generation """
+
+    _self_dilation: float
+    """ Cached dilation value for collision checks (clearance / 2.0) """
 
     def __init__(
             self,
@@ -60,29 +150,29 @@ class AStarRouter:
             snap_to_target_dist: float = 20.0,
             bend_penalty: float = 50.0,
             sbend_penalty: float = 100.0,
-        bend_collision_type: Literal["arc", "bbox", "clipped_bbox"] = "arc",
+            bend_collision_type: Literal['arc', 'bbox', 'clipped_bbox'] = 'arc',
             bend_clip_margin: float = 10.0,
             ) -> None:
         """
         Initialize the A* Router.
 
         Args:
-            cost_evaluator: The evaluator for path and proximity costs.
+            cost_evaluator: Path cost evaluator.
-            node_limit: Maximum number of nodes to expand before failing.
+            node_limit: Node expansion limit.
-            straight_lengths: List of lengths for straight move expansion.
+            straight_lengths: Allowed straight lengths (um).
-            bend_radii: List of radii for 90-degree bend moves.
+            bend_radii: Allowed 90-deg radii (um).
-            sbend_offsets: List of lateral offsets for S-bend moves.
+            sbend_offsets: Allowed S-bend lateral offsets (um).
-            sbend_radii: List of radii for S-bend moves.
+            sbend_radii: Allowed S-bend radii (um).
-            snap_to_target_dist: Distance threshold for lookahead snapping.
+            snap_to_target_dist: Radius for target lookahead (um).
-            bend_penalty: Flat cost penalty for each 90-degree bend.
+            bend_penalty: Penalty for 90-degree turns.
-            sbend_penalty: Flat cost penalty for each S-bend.
+            sbend_penalty: Penalty for S-bends.
-            bend_collision_type: Type of collision model for bends ('arc', 'bbox', 'clipped_bbox').
+            bend_collision_type: Collision model for bends.
-            bend_clip_margin: Margin for 'clipped_bbox' collision model.
+            bend_clip_margin: Margin for clipped_bbox model.
         """
         self.cost_evaluator = cost_evaluator
         self.config = RouterConfig(
             node_limit=node_limit,
-            straight_lengths=straight_lengths if straight_lengths is not None else [1.0, 5.0, 25.0],
+            straight_lengths=straight_lengths if straight_lengths is not None else [1.0, 5.0, 25.0, 100.0],
             bend_radii=bend_radii if bend_radii is not None else [10.0],
             sbend_offsets=sbend_offsets if sbend_offsets is not None else [-5.0, -2.0, 2.0, 5.0],
             sbend_radii=sbend_radii if sbend_radii is not None else [10.0],
@@ -94,10 +184,34 @@ class AStarRouter:
         )
         self.node_limit = self.config.node_limit
         self.total_nodes_expanded = 0
-        self._collision_cache: dict[tuple[float, float, float, str, float, str], bool] = {}
+        self._collision_cache = {}
+        self._move_cache = {}
+        self._self_dilation = self.cost_evaluator.collision_engine.clearance / 2.0
+
+    def route(
+            self,
+            start: Port,
+            target: Port,
+            net_width: float,
+            net_id: str = 'default',
+            bend_collision_type: Literal['arc', 'bbox', 'clipped_bbox'] | None = None,
+            ) -> list[ComponentResult] | None:
+        """
+        Route a single net using A*.
+
+        Args:
+            start: Starting port.
+            target: Target port.
+            net_width: Waveguide width (um).
+            net_id: Optional net identifier.
+            bend_collision_type: Override collision model for this route.
+
+        Returns:
+            List of moves forming the path, or None if failed.
+        """
+        if bend_collision_type is not None:
+            self.config.bend_collision_type = bend_collision_type
             
-    def route(self, start: Port, target: Port, net_width: float, net_id: str = "default") -> list[ComponentResult] | None:
-        """Route a single net using A*."""
         self._collision_cache.clear()
         open_set: list[AStarNode] = []
         # Key: (x, y, orientation) rounded to 1nm
@@ -110,7 +224,7 @@ class AStarRouter:
 
         while open_set:
             if nodes_expanded >= self.node_limit:
-                logger.warning(f"  AStar failed: node limit {self.node_limit} reached.")
+                logger.warning(f'  AStar failed: node limit {self.node_limit} reached.')
                 return None
 
             current = heapq.heappop(open_set)
@@ -125,14 +239,12 @@ class AStarRouter:
             self.total_nodes_expanded += 1
 
             if nodes_expanded % 5000 == 0:
-                logger.info(f"Nodes expanded: {nodes_expanded}, current port: {current.port}, g: {current.g_cost:.1f}, h: {current.h_cost:.1f}")
+                logger.info(f'Nodes expanded: {nodes_expanded}, current: {current.port}, g: {current.g_cost:.1f}')
 
             # Check if we reached the target exactly
-            if (
+            if (abs(current.port.x - target.x) < 1e-6 and
-                abs(current.port.x - target.x) < 1e-6
+                    abs(current.port.y - target.y) < 1e-6 and
-                and abs(current.port.y - target.y) < 1e-6
+                    abs(current.port.orientation - target.orientation) < 0.1):
-                and abs(current.port.orientation - target.orientation) < 0.1
-            ):
                 return self._reconstruct_path(current)
 
             # Expansion
@@ -150,26 +262,26 @@ class AStarRouter:
             closed_set: set[tuple[float, float, float]],
             ) -> None:
         # 1. Snap-to-Target Look-ahead
-        dist = np.sqrt((current.port.x - target.x) ** 2 + (current.port.y - target.y) ** 2)
+        dist = numpy.sqrt((current.port.x - target.x)**2 + (current.port.y - target.y)**2)
         if dist < self.config.snap_to_target_dist:
             # A. Try straight exact reach
             if abs(current.port.orientation - target.orientation) < 0.1:
-                rad = np.radians(current.port.orientation)
+                rad = numpy.radians(current.port.orientation)
                 dx = target.x - current.port.x
                 dy = target.y - current.port.y
-                proj = dx * np.cos(rad) + dy * np.sin(rad)
+                proj = dx * numpy.cos(rad) + dy * numpy.sin(rad)
-                perp = -dx * np.sin(rad) + dy * np.cos(rad)
+                perp = -dx * numpy.sin(rad) + dy * numpy.cos(rad)
                 if proj > 0 and abs(perp) < 1e-6:
-                    res = Straight.generate(current.port, proj, net_width, snap_to_grid=False)
+                    res = Straight.generate(current.port, proj, net_width, snap_to_grid=False, dilation=self._self_dilation)
-                    self._add_node(current, res, target, net_width, net_id, open_set, closed_set, "SnapStraight")
+                    self._add_node(current, res, target, net_width, net_id, open_set, closed_set, 'SnapStraight')
 
             # B. Try SBend exact reach
             if abs(current.port.orientation - target.orientation) < 0.1:
-                rad = np.radians(current.port.orientation)
+                rad = numpy.radians(current.port.orientation)
                 dx = target.x - current.port.x
                 dy = target.y - current.port.y
-                proj = dx * np.cos(rad) + dy * np.sin(rad)
+                proj = dx * numpy.cos(rad) + dy * numpy.sin(rad)
-                perp = -dx * np.sin(rad) + dy * np.cos(rad)
+                perp = -dx * numpy.sin(rad) + dy * numpy.cos(rad)
                 if proj > 0 and 0.5 <= abs(perp) < 20.0:
                     for radius in self.config.sbend_radii:
                         try:
@@ -179,12 +291,18 @@ class AStarRouter:
                                 radius,
                                 net_width,
                                 collision_type=self.config.bend_collision_type,
-                                clip_margin=self.config.bend_clip_margin
+                                clip_margin=self.config.bend_clip_margin,
+                                dilation=self._self_dilation
                             )
-                            self._add_node(current, res, target, net_width, net_id, open_set, closed_set, "SnapSBend", move_radius=radius)
+                            self._add_node(current, res, target, net_width, net_id, open_set, closed_set, 'SnapSBend', move_radius=radius)
                         except ValueError:
                             pass
 
+        # Move Cache
+        cp = current.port
+        base_ori = round(cp.orientation % 360, 2)
+        state_key = (round(cp.x, 3), round(cp.y, 3), base_ori)
+
         # 2. Lattice Straights
         lengths = self.config.straight_lengths
         if dist < 5.0:
@@ -192,37 +310,97 @@ class AStarRouter:
              lengths = sorted(set(lengths + fine_steps))
 
         for length in lengths:
-            res = Straight.generate(current.port, length, net_width)
+            # Level 1: Absolute cache (exact location)
-            self._add_node(current, res, target, net_width, net_id, open_set, closed_set, f"S{length}")
+            abs_key = (state_key, 'S', length, net_width)
+            if abs_key in self._move_cache:
+                res = self._move_cache[abs_key]
+            else:
+                # Level 2: Relative cache (orientation only)
+                # Dilation is now 0.0 for caching to save translation time.
+                # It will be calculated lazily in _add_node if needed.
+                rel_key = (base_ori, 'S', length, net_width, 0.0)
+                if rel_key in self._move_cache:
+                    res_rel = self._move_cache[rel_key]
+                    # Check closed set before translating
+                    ex = res_rel.end_port.x + cp.x
+                    ey = res_rel.end_port.y + cp.y
+                    end_state = (round(ex, 3), round(ey, 3), round(res_rel.end_port.orientation, 2))
+                    if end_state in closed_set:
+                        continue
+                    res = res_rel.translate(cp.x, cp.y)
+                else:
+                    res_rel = Straight.generate(Port(0, 0, base_ori), length, net_width, dilation=0.0)
+                    self._move_cache[rel_key] = res_rel
+                    res = res_rel.translate(cp.x, cp.y)
+                self._move_cache[abs_key] = res
+            self._add_node(current, res, target, net_width, net_id, open_set, closed_set, f'S{length}')
 
         # 3. Lattice Bends
         for radius in self.config.bend_radii:
-            for direction in ["CW", "CCW"]:
+            for direction in ['CW', 'CCW']:
-                res = Bend90.generate(
+                abs_key = (state_key, 'B', radius, direction, net_width, self.config.bend_collision_type)
-                    current.port, 
+                if abs_key in self._move_cache:
+                    res = self._move_cache[abs_key]
+                else:
+                    rel_key = (base_ori, 'B', radius, direction, net_width, self.config.bend_collision_type, 0.0)
+                    if rel_key in self._move_cache:
+                        res_rel = self._move_cache[rel_key]
+                        # Check closed set before translating
+                        ex = res_rel.end_port.x + cp.x
+                        ey = res_rel.end_port.y + cp.y
+                        end_state = (round(ex, 3), round(ey, 3), round(res_rel.end_port.orientation, 2))
+                        if end_state in closed_set:
+                            continue
+                        res = res_rel.translate(cp.x, cp.y)
+                    else:
+                        res_rel = Bend90.generate(
+                            Port(0, 0, base_ori),
                             radius,
                             net_width,
                             direction,
                             collision_type=self.config.bend_collision_type,
-                    clip_margin=self.config.bend_clip_margin
+                            clip_margin=self.config.bend_clip_margin,
+                            dilation=0.0
                         )
-                self._add_node(current, res, target, net_width, net_id, open_set, closed_set, f"B{radius}{direction}", move_radius=radius)
+                        self._move_cache[rel_key] = res_rel
+                        res = res_rel.translate(cp.x, cp.y)
+                    self._move_cache[abs_key] = res
+                self._add_node(current, res, target, net_width, net_id, open_set, closed_set, f'B{radius}{direction}', move_radius=radius)
 
         # 4. Discrete SBends
         for offset in self.config.sbend_offsets:
             for radius in self.config.sbend_radii:
+                abs_key = (state_key, 'SB', offset, radius, net_width, self.config.bend_collision_type)
+                if abs_key in self._move_cache:
+                    res = self._move_cache[abs_key]
+                else:
+                    rel_key = (base_ori, 'SB', offset, radius, net_width, self.config.bend_collision_type, 0.0)
+                    if rel_key in self._move_cache:
+                        res_rel = self._move_cache[rel_key]
+                        # Check closed set before translating
+                        ex = res_rel.end_port.x + cp.x
+                        ey = res_rel.end_port.y + cp.y
+                        end_state = (round(ex, 3), round(ey, 3), round(res_rel.end_port.orientation, 2))
+                        if end_state in closed_set:
+                            continue
+                        res = res_rel.translate(cp.x, cp.y)
+                    else:
                         try:
-                    res = SBend.generate(
+                            res_rel = SBend.generate(
-                        current.port, 
+                                Port(0, 0, base_ori),
                                 offset,
                                 radius,
-                        net_width,
+                                width=net_width,
                                 collision_type=self.config.bend_collision_type,
-                        clip_margin=self.config.bend_clip_margin
+                                clip_margin=self.config.bend_clip_margin,
+                                dilation=0.0
                             )
-                    self._add_node(current, res, target, net_width, net_id, open_set, closed_set, f"SB{offset}R{radius}", move_radius=radius)
+                            self._move_cache[rel_key] = res_rel
+                            res = res_rel.translate(cp.x, cp.y)
                         except ValueError:
-                    pass
+                            continue
+                    self._move_cache[abs_key] = res
+                self._add_node(current, res, target, net_width, net_id, open_set, closed_set, f'SB{offset}R{radius}', move_radius=radius)
 
     def _add_node(
             self,
@@ -253,10 +431,23 @@ class AStarRouter:
             if self._collision_cache[cache_key]:
                 return
         else:
+            # Lazy Dilation: compute dilated polygons only if we need a collision check
+            if result.dilated_geometry is None:
+                # We need to update the ComponentResult with dilated geometry
+                # For simplicity, we'll just buffer the polygons here.
+                # In a more optimized version, ComponentResult might have a .dilate() method.
+                dilated = [p.buffer(self._self_dilation) for p in result.geometry]
+                result.dilated_geometry = dilated
+                # Re-calculate dilated bounds
+                import shapely
+                result.dilated_bounds = shapely.bounds(dilated)
+
             hard_coll = False
-            for poly in result.geometry:
+            for i, poly in enumerate(result.geometry):
+                dil_poly = result.dilated_geometry[i]
                 if self.cost_evaluator.collision_engine.check_collision(
-                    poly, net_id, buffer_mode="static", start_port=parent.port, end_port=result.end_port
+                    poly, net_id, buffer_mode='static', start_port=parent.port, end_port=result.end_port,
+                    dilated_geometry=dil_poly
                 ):
                     hard_coll = True
                     break
@@ -264,36 +455,66 @@ class AStarRouter:
             if hard_coll:
                 return
 
+        # Lazy Dilation for self-intersection and cost evaluation
+        if result.dilated_geometry is None:
+            dilated = [p.buffer(self._self_dilation) for p in result.geometry]
+            result.dilated_geometry = dilated
+            import shapely
+            result.dilated_bounds = shapely.bounds(dilated)
+
         # 3. Check for Self-Intersection (Limited to last 100 segments for performance)
-        dilation = self.cost_evaluator.collision_engine.clearance / 2.0
+        if result.dilated_geometry:
-        for move_poly in result.geometry:
+            # Union of current move's bounds for fast path-wide pruning
-            dilated_move = move_poly.buffer(dilation)
+            m_minx, m_miny, m_maxx, m_maxy = 1e15, 1e15, -1e15, -1e15
-            curr_p = parent
+            for b in result.dilated_bounds if result.dilated_bounds is not None else result.bounds:
+
+                m_minx = min(m_minx, b[0])
+                m_miny = min(m_miny, b[1])
+                m_maxx = max(m_maxx, b[2])
+                m_maxy = max(m_maxy, b[3])
+
+            # If current move doesn't overlap the entire parent path bbox, we can skip individual checks
+            # (Except the immediate parent which we usually skip anyway)
+            if parent.path_bbox and not (m_minx > parent.path_bbox[2] or
+                                         m_maxx < parent.path_bbox[0] or
+                                         m_miny > parent.path_bbox[3] or
+                                         m_maxy < parent.path_bbox[1]):
+                
+                for dm_idx, dilated_move in enumerate(result.dilated_geometry):
+                    dm_bounds = result.dilated_bounds[dm_idx]
+                    curr_p: AStarNode | None = parent
                     seg_idx = 0
                     while curr_p and curr_p.component_result and seg_idx < 100:
+                        # Skip immediate parent to avoid tangent/port-safety issues
                         if seg_idx > 0:
-                    for prev_poly in curr_p.component_result.geometry:
+                            res_p = curr_p.component_result
-                        if dilated_move.bounds[0] > prev_poly.bounds[2] + dilation or \
+                            if res_p.dilated_geometry:
-                           dilated_move.bounds[2] < prev_poly.bounds[0] - dilation or \
+                                for dp_idx, dilated_prev in enumerate(res_p.dilated_geometry):
-                           dilated_move.bounds[1] > prev_poly.bounds[3] + dilation or \
+                                    dp_bounds = res_p.dilated_bounds[dp_idx]
-                           dilated_move.bounds[3] < prev_poly.bounds[1] - dilation:
+                                    # Quick bounds overlap check
-                            continue
+                                    if not (dm_bounds[0] > dp_bounds[2] or
-                            
+                                            dm_bounds[2] < dp_bounds[0] or
-                        dilated_prev = prev_poly.buffer(dilation)
+                                            dm_bounds[1] > dp_bounds[3] or
+                                            dm_bounds[3] < dp_bounds[1]):
+                                        # Use intersects() which is much faster than intersection()
                                         if dilated_move.intersects(dilated_prev):
+                                            # Only do expensive area check if absolutely necessary
                                             overlap = dilated_move.intersection(dilated_prev)
-                            if overlap.area > 1e-6:
+                                            if not overlap.is_empty and overlap.area > 1e-6:
                                                 return
                         curr_p = curr_p.parent
                         seg_idx += 1
 
+
         move_cost = self.cost_evaluator.evaluate_move(
             result.geometry,
             result.end_port,
             net_width,
             net_id,
             start_port=parent.port,
-            length=result.length
+            length=result.length,
+            dilated_geometry=result.dilated_geometry,
+            skip_static=True
         )
 
         if move_cost > 1e12:
@@ -301,15 +522,15 @@ 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:
+        if 'B' in move_type and move_radius is not None:
             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:
+        elif 'SB' in move_type and move_radius is not None:
             penalty_factor = ref_radius / move_radius
             move_cost += self.config.sbend_penalty * penalty_factor
-        elif "B" in move_type:
+        elif 'B' in move_type:
             move_cost += self.config.bend_penalty
-        elif "SB" in move_type:
+        elif 'SB' in move_type:
             move_cost += self.config.sbend_penalty
 
         g_cost = parent.g_cost + move_cost

inire/router/config.py

@@ -28,3 +28,4 @@ class CostConfig:
     unit_length_cost: float = 1.0
     greedy_h_weight: float = 1.1
     congestion_penalty: float = 10000.0
+    bend_penalty: float = 50.0

inire/router/cost.py

@@ -13,7 +13,24 @@ if TYPE_CHECKING:
 
 
 class CostEvaluator:
-    """Calculates total path and proximity costs."""
+    """
+    Calculates total path and proximity costs.
+    """
+    __slots__ = ('collision_engine', 'danger_map', 'config', 'unit_length_cost', 'greedy_h_weight', 'congestion_penalty')
+
+    collision_engine: CollisionEngine
+    """ The engine for intersection checks """
+
+    danger_map: DangerMap
+    """ Pre-computed grid for heuristic proximity costs """
+
+    config: CostConfig
+    """ Parameter configuration """
+
+    unit_length_cost: float
+    greedy_h_weight: float
+    congestion_penalty: float
+    """ Cached weight values for performance """
 
     def __init__(
             self,
@@ -22,6 +39,7 @@ class CostEvaluator:
             unit_length_cost: float = 1.0,
             greedy_h_weight: float = 1.1,
             congestion_penalty: float = 10000.0,
+            bend_penalty: float = 50.0,
             ) -> None:
         """
         Initialize the Cost Evaluator.
@@ -32,6 +50,7 @@ class CostEvaluator:
             unit_length_cost: Cost multiplier per micrometer of path length.
             greedy_h_weight: Heuristic weighting (A* greedy factor).
             congestion_penalty: Multiplier for path overlaps in negotiated congestion.
+            bend_penalty: Base cost for 90-degree bends.
         """
         self.collision_engine = collision_engine
         self.danger_map = danger_map
@@ -39,6 +58,7 @@ class CostEvaluator:
             unit_length_cost=unit_length_cost,
             greedy_h_weight=greedy_h_weight,
             congestion_penalty=congestion_penalty,
+            bend_penalty=bend_penalty,
         )
 
         # Use config values
@@ -46,20 +66,45 @@ class CostEvaluator:
         self.greedy_h_weight = self.config.greedy_h_weight
         self.congestion_penalty = self.config.congestion_penalty
 
+
     def g_proximity(self, x: float, y: float) -> float:
-        """Get proximity cost from the Danger Map."""
+        """
+        Get proximity cost from the Danger Map.
+
+        Args:
+            x, y: Coordinate to check.
+
+        Returns:
+            Proximity cost at location.
+        """
         return self.danger_map.get_cost(x, y)
 
     def h_manhattan(self, current: Port, target: Port) -> float:
-        """Heuristic: weighted Manhattan distance + orientation penalty."""
+        """
-        dist = abs(current.x - target.x) + abs(current.y - target.y)
+        Heuristic: weighted Manhattan distance + orientation penalty.
+
+        Args:
+            current: Current port state.
+            target: Target port state.
+
+        Returns:
+            Heuristic cost estimate.
+        """
+        dx = abs(current.x - target.x)
+        dy = abs(current.y - target.y)
+        dist = dx + dy
 
         # Orientation penalty if not aligned with target entry
+        # If we need to turn, the cost is at least min_bend_radius * pi/2
+        # But we also need to account for the physical distance required for the turn.
         penalty = 0.0
         if current.orientation != target.orientation:
-            penalty += 50.0  # Arbitrary high cost for mismatch
+            # 90-degree turn cost: radius 10 -> ~15.7 um + penalty
+            penalty += 15.7 + self.config.bend_penalty
+
+        # Add 1.5 multiplier for greediness (faster search)
+        return 1.5 * (dist + penalty)
 
-        return self.greedy_h_weight * (dist + penalty)
 
     def evaluate_move(
             self,
@@ -69,25 +114,47 @@ class CostEvaluator:
             net_id: str,
             start_port: Port | None = None,
             length: float = 0.0,
+            dilated_geometry: list[Polygon] | None = None,
+            skip_static: bool = False,
             ) -> float:
-        """Calculate the cost of a single move (Straight, Bend, SBend)."""
+        """
+        Calculate the cost of a single move (Straight, Bend, SBend).
+
+        Args:
+            geometry: List of polygons in the move.
+            end_port: Port at the end of the move.
+            net_width: Width of the waveguide (unused).
+            net_id: Identifier for the net.
+            start_port: Port at the start of the move.
+            length: Physical path length of the move.
+            dilated_geometry: Pre-calculated dilated polygons.
+            skip_static: If True, bypass static collision checks (e.g. if already done).
+
+        Returns:
+            Total cost of the move, or 1e15 if invalid.
+        """
         _ = net_width  # Unused
         total_cost = length * self.unit_length_cost
 
-        # 1. Boundary Check (Centerline based for compatibility)
+        # 1. Boundary Check
         if not self.danger_map.is_within_bounds(end_port.x, end_port.y):
             return 1e15
 
         # 2. Collision Check
-        for poly in geometry:
+        for i, poly in enumerate(geometry):
+            dil_poly = dilated_geometry[i] if dilated_geometry else None
             # Hard Collision (Static obstacles)
+            if not skip_static:
                 if self.collision_engine.check_collision(
-                poly, net_id, buffer_mode="static", start_port=start_port, end_port=end_port
+                    poly, net_id, buffer_mode='static', start_port=start_port, end_port=end_port,
+                    dilated_geometry=dil_poly
                 ):
                     return 1e15
 
             # Soft Collision (Negotiated Congestion)
-            overlaps = self.collision_engine.check_collision(poly, net_id, buffer_mode="congestion")
+            overlaps = self.collision_engine.check_collision(
+                poly, net_id, buffer_mode='congestion', dilated_geometry=dil_poly
+            )
             if isinstance(overlaps, int) and overlaps > 0:
                 total_cost += overlaps * self.congestion_penalty
 

inire/router/danger_map.py

@@ -1,8 +1,7 @@
 from __future__ import annotations
 
 from typing import TYPE_CHECKING
-
+import numpy
-import numpy as np
 import shapely
 
 if TYPE_CHECKING:
@@ -10,7 +9,32 @@ if TYPE_CHECKING:
 
 
 class DangerMap:
-    """A pre-computed grid for heuristic proximity costs, vectorized for performance."""
+    """
+    A pre-computed grid for heuristic proximity costs, vectorized for performance.
+    """
+    __slots__ = ('minx', 'miny', 'maxx', 'maxy', 'resolution', 'safety_threshold', 'k', 'width_cells', 'height_cells', 'grid')
+
+    minx: float
+    miny: float
+    maxx: float
+    maxy: float
+    """ Boundary coordinates of the map """
+
+    resolution: float
+    """ Grid cell size in micrometers """
+
+    safety_threshold: float
+    """ Distance below which proximity costs are applied """
+
+    k: float
+    """ Cost multiplier constant """
+
+    width_cells: int
+    height_cells: int
+    """ Grid dimensions in cells """
+
+    grid: numpy.ndarray
+    """ 2D array of pre-computed costs """
 
     def __init__(
             self,
@@ -19,29 +43,42 @@ class DangerMap:
             safety_threshold: float = 10.0,
             k: float = 1.0,
             ) -> None:
-        # bounds: (minx, miny, maxx, maxy)
+        """
+        Initialize the Danger Map.
+
+        Args:
+            bounds: (minx, miny, maxx, maxy) in um.
+            resolution: Cell size (um).
+            safety_threshold: Proximity limit (um).
+            k: Penalty multiplier.
+        """
         self.minx, self.miny, self.maxx, self.maxy = bounds
         self.resolution = resolution
         self.safety_threshold = safety_threshold
         self.k = k
 
         # Grid dimensions
-        self.width_cells = int(np.ceil((self.maxx - self.minx) / self.resolution))
+        self.width_cells = int(numpy.ceil((self.maxx - self.minx) / self.resolution))
-        self.height_cells = int(np.ceil((self.maxy - self.miny) / self.resolution))
+        self.height_cells = int(numpy.ceil((self.maxy - self.miny) / self.resolution))
 
-        self.grid = np.zeros((self.width_cells, self.height_cells), dtype=np.float32)
+        self.grid = numpy.zeros((self.width_cells, self.height_cells), dtype=numpy.float32)
 
     def precompute(self, obstacles: list[Polygon]) -> None:
-        """Pre-compute the proximity costs for the entire grid using vectorized operations."""
+        """
+        Pre-compute the proximity costs for the entire grid using vectorized operations.
+
+        Args:
+            obstacles: List of static obstacle geometries.
+        """
         from scipy.ndimage import distance_transform_edt
 
         # 1. Create a binary mask of obstacles
-        mask = np.ones((self.width_cells, self.height_cells), dtype=bool)
+        mask = numpy.ones((self.width_cells, self.height_cells), dtype=bool)
 
         # Create coordinate grids
-        x_coords = np.linspace(self.minx + self.resolution/2, self.maxx - self.resolution/2, self.width_cells)
+        x_coords = numpy.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)
+        y_coords = numpy.linspace(self.miny + self.resolution/2, self.maxy - self.resolution/2, self.height_cells)
-        xv, yv = np.meshgrid(x_coords, y_coords, indexing='ij')
+        xv, yv = numpy.meshgrid(x_coords, y_coords, indexing='ij')
 
         for poly in obstacles:
             # Use shapely.contains_xy for fast vectorized point-in-polygon check
@@ -53,19 +90,35 @@ class DangerMap:
 
         # 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)
+        safe_distances = numpy.maximum(distances, 0.1)
-        self.grid = np.where(
+        self.grid = numpy.where(
             distances < self.safety_threshold,
             self.k / (safe_distances**2),
             0.0
-        ).astype(np.float32)
+        ).astype(numpy.float32)
 
     def is_within_bounds(self, x: float, y: float) -> bool:
-        """Check if a coordinate is within the design bounds."""
+        """
+        Check if a coordinate is within the design bounds.
+
+        Args:
+            x, y: Coordinate to check.
+
+        Returns:
+            True if within [min, max] for both axes.
+        """
         return self.minx <= x <= self.maxx and self.miny <= y <= self.maxy
 
     def get_cost(self, x: float, y: float) -> float:
-        """Get the proximity cost at a specific coordinate."""
+        """
+        Get the proximity cost at a specific coordinate.
+
+        Args:
+            x, y: Coordinate to look up.
+
+        Returns:
+            Pre-computed cost, or 1e15 if out of bounds.
+        """
         ix = int((x - self.minx) / self.resolution)
         iy = int((y - self.miny) / self.resolution)
 

inire/router/pathfinder.py

@@ -16,14 +16,39 @@ logger = logging.getLogger(__name__)
 
 @dataclass
 class RoutingResult:
+    """
+    Result of a single net routing operation.
+    """
     net_id: str
+    """ Identifier for the net """
+
     path: list[ComponentResult]
+    """ List of moves forming the path """
+
     is_valid: bool
+    """ Whether the path is collision-free """
+
     collisions: int
+    """ Number of detected collisions/overlaps """
 
 
 class PathFinder:
-    """Multi-net router using Negotiated Congestion."""
+    """
+    Multi-net router using Negotiated Congestion.
+    """
+    __slots__ = ('router', 'cost_evaluator', 'max_iterations', 'base_congestion_penalty')
+
+    router: AStarRouter
+    """ The A* search engine """
+
+    cost_evaluator: CostEvaluator
+    """ The evaluator for path costs """
+
+    max_iterations: int
+    """ Maximum number of rip-up and reroute iterations """
+
+    base_congestion_penalty: float
+    """ Starting penalty for overlaps """
 
     def __init__(
             self,
@@ -46,8 +71,21 @@ class PathFinder:
         self.max_iterations = max_iterations
         self.base_congestion_penalty = base_congestion_penalty
 
-    def route_all(self, netlist: dict[str, tuple[Port, Port]], net_widths: dict[str, float]) -> dict[str, RoutingResult]:
+    def route_all(
-        """Route all nets in the netlist using Negotiated Congestion."""
+            self,
+            netlist: dict[str, tuple[Port, Port]],
+            net_widths: dict[str, float],
+            ) -> dict[str, RoutingResult]:
+        """
+        Route all nets in the netlist using Negotiated Congestion.
+
+        Args:
+            netlist: Mapping of net_id to (start_port, target_port).
+            net_widths: Mapping of net_id to waveguide width.
+
+        Returns:
+            Mapping of net_id to RoutingResult.
+        """
         results: dict[str, RoutingResult] = {}
         self.cost_evaluator.congestion_penalty = self.base_congestion_penalty
 
@@ -57,15 +95,14 @@ class PathFinder:
 
         for iteration in range(self.max_iterations):
             any_congestion = False
-            logger.info(f"PathFinder Iteration {iteration}...")
+            logger.info(f'PathFinder Iteration {iteration}...')
 
             # Sequence through nets
             for net_id, (start, target) in netlist.items():
                 # Timeout check
                 elapsed = time.monotonic() - start_time
                 if elapsed > session_timeout:
-                    logger.warning(f"PathFinder TIMEOUT after {elapsed:.2f}s")
+                    logger.warning(f'PathFinder TIMEOUT after {elapsed:.2f}s')
-                    # Return whatever we have so far
                     return self._finalize_results(results, netlist)
 
                 width = net_widths.get(net_id, 2.0)
@@ -74,22 +111,34 @@ class PathFinder:
                 self.cost_evaluator.collision_engine.remove_path(net_id)
 
                 # 2. Reroute with current congestion info
+                # Tiered Strategy: use clipped_bbox for Iteration 0 for speed.
+                # Switch to arc for higher iterations if collisions persist.
+                coll_model = "clipped_bbox" if iteration == 0 else "arc"
+                
                 net_start = time.monotonic()
-                path = self.router.route(start, target, width, net_id=net_id)
+                path = self.router.route(start, target, width, net_id=net_id, bend_collision_type=coll_model)
-                logger.debug(f"  Net {net_id} routed in {time.monotonic() - net_start:.4f}s")
+                logger.debug(f'  Net {net_id} routed in {time.monotonic() - net_start:.4f}s using {coll_model}')
 
                 if path:
                     # 3. Add to index
                     all_geoms = []
+                    all_dilated = []
                     for res in path:
                         all_geoms.extend(res.geometry)
-                    self.cost_evaluator.collision_engine.add_path(net_id, all_geoms)
+                        if res.dilated_geometry:
+                            all_dilated.extend(res.dilated_geometry)
+                        else:
+                            # Fallback dilation
+                            dilation = self.cost_evaluator.collision_engine.clearance / 2.0
+                            all_dilated.extend([p.buffer(dilation) for p in res.geometry])
+                            
+                    self.cost_evaluator.collision_engine.add_path(net_id, all_geoms, dilated_geometry=all_dilated)
 
                     # Check if this new path has any congestion
                     collision_count = 0
-                    for poly in all_geoms:
+                    for i, poly in enumerate(all_geoms):
                         overlaps = self.cost_evaluator.collision_engine.check_collision(
-                            poly, net_id, buffer_mode="congestion"
+                            poly, net_id, buffer_mode='congestion', dilated_geometry=all_dilated[i]
                         )
                         if isinstance(overlaps, int):
                             collision_count += overlaps
@@ -110,11 +159,23 @@ class PathFinder:
 
         return self._finalize_results(results, netlist)
 
-    def _finalize_results(self, results: dict[str, RoutingResult], netlist: dict[str, tuple[Port, Port]]) -> dict[str, RoutingResult]:
+    def _finalize_results(
-        """Final check: re-verify all nets against the final static paths."""
+            self,
-        logger.debug(f"Finalizing results for nets: {list(results.keys())}")
+            results: dict[str, RoutingResult],
+            netlist: dict[str, tuple[Port, Port]],
+            ) -> dict[str, RoutingResult]:
+        """
+        Final check: re-verify all nets against the final static paths.
+
+        Args:
+            results: Results from the routing loop.
+            netlist: The original netlist.
+
+        Returns:
+            Refined results with final collision counts.
+        """
+        logger.debug(f'Finalizing results for nets: {list(results.keys())}')
         final_results = {}
-        # Ensure all nets in the netlist are present in final_results
         for net_id in netlist:
             res = results.get(net_id)
             if not res or not res.path:
@@ -123,9 +184,10 @@ class PathFinder:
 
             collision_count = 0
             for comp in res.path:
-                for poly in comp.geometry:
+                for i, poly in enumerate(comp.geometry):
+                    dil_poly = comp.dilated_geometry[i] if comp.dilated_geometry else None
                     overlaps = self.cost_evaluator.collision_engine.check_collision(
-                        poly, net_id, buffer_mode="congestion"
+                        poly, net_id, buffer_mode='congestion', dilated_geometry=dil_poly
                     )
                     if isinstance(overlaps, int):
                         collision_count += overlaps

inire/tests/test_components.py

@@ -50,7 +50,7 @@ def test_sbend_generation() -> None:
     result = SBend.generate(start, offset, radius, width)
     assert result.end_port.y == 5.0
     assert result.end_port.orientation == 0.0
-    assert len(result.geometry) == 1 # Now uses unary_union
+    assert len(result.geometry) == 2 # Optimization: returns individual arcs
 
     # Verify failure for large offset
     with pytest.raises(ValueError, match=r"SBend offset .* must be less than 2\*radius"):
@@ -85,11 +85,13 @@ def test_sbend_collision_models() -> None:
     width = 2.0
 
     res_bbox = SBend.generate(start, offset, radius, width, collision_type="bbox")
-    # Geometry should be a single bounding box polygon
+    # Geometry should be a list of individual bbox polygons for each arc
-    assert len(res_bbox.geometry) == 1
+    assert len(res_bbox.geometry) == 2
 
     res_arc = SBend.generate(start, offset, radius, width, collision_type="arc")
-    assert res_bbox.geometry[0].area > res_arc.geometry[0].area
+    area_bbox = sum(p.area for p in res_bbox.geometry)
+    area_arc = sum(p.area for p in res_arc.geometry)
+    assert area_bbox > area_arc
 
 
 def test_sbend_continuity() -> None:
@@ -107,9 +109,10 @@ def test_sbend_continuity() -> None:
     # For a port at 90 deg, +offset is a shift in -x direction
     assert abs(res.end_port.x - (10.0 - offset)) < 1e-6
 
-    # Geometry should be connected (unary_union results in 1 polygon)
+    # Geometry should be a list of valid polygons
-    assert len(res.geometry) == 1
+    assert len(res.geometry) == 2
-    assert res.geometry[0].is_valid
+    for p in res.geometry:
+        assert p.is_valid
 
 
 def test_arc_sagitta_precision() -> None:

inire/utils/validation.py

@@ -1,11 +1,10 @@
 from __future__ import annotations
 
-import numpy as np
 from typing import TYPE_CHECKING, Any
-
+import numpy
-from shapely.geometry import Polygon
 
 if TYPE_CHECKING:
+    from shapely.geometry import Polygon
     from inire.geometry.primitives import Port
     from inire.router.pathfinder import RoutingResult
 
@@ -19,8 +18,18 @@ def validate_routing_result(
 ) -> dict[str, Any]:
     """
     Perform a high-precision validation of a routed path.
-    Returns a dictionary with validation results.
+
+    Args:
+        result: The routing result to validate.
+        static_obstacles: List of static obstacle geometries.
+        clearance: Required minimum distance.
+        expected_start: Optional expected start port.
+        expected_end: Optional expected end port.
+
+    Returns:
+        A dictionary with validation results.
     """
+    _ = expected_start
     if not result.path:
         return {"is_valid": False, "reason": "No path found"}
 
@@ -30,13 +39,13 @@ def validate_routing_result(
 
     # 1. Connectivity Check
     total_length = 0.0
-    for i, comp in enumerate(result.path):
+    for comp in result.path:
         total_length += comp.length
 
     # Boundary check
     if expected_end:
         last_port = result.path[-1].end_port
-        dist_to_end = np.sqrt((last_port.x - expected_end.x)**2 + (last_port.y - expected_end.y)**2)
+        dist_to_end = numpy.sqrt((last_port.x - expected_end.x)**2 + (last_port.y - expected_end.y)**2)
         if dist_to_end > 0.005:
             connectivity_errors.append(f"Final port position mismatch: {dist_to_end*1000:.2f}nm")
         if abs(last_port.orientation - expected_end.orientation) > 0.1:
@@ -48,7 +57,7 @@ def validate_routing_result(
 
     dilated_for_self = []
 
-    for i, comp in enumerate(result.path):
+    for comp in result.path:
         for poly in comp.geometry:
             # Check against obstacles
             d_full = poly.buffer(dilation_full)
@@ -64,8 +73,7 @@ def validate_routing_result(
     # 3. Self-intersection
     for i, seg_i in enumerate(dilated_for_self):
         for j, seg_j in enumerate(dilated_for_self):
-            if j > i + 1: # Non-adjacent
+            if j > i + 1 and seg_i.intersects(seg_j): # Non-adjacent
-                if seg_i.intersects(seg_j):
                 overlap = seg_i.intersection(seg_j)
                 if overlap.area > 1e-6:
                     self_intersection_geoms.append((i, j, overlap))

inire/utils/visualization.py

@@ -1,14 +1,13 @@
 from __future__ import annotations
 
 from typing import TYPE_CHECKING
-
 import matplotlib.pyplot as plt
-import numpy as np
+import numpy
+from shapely.geometry import MultiPolygon, Polygon
 
 if TYPE_CHECKING:
     from matplotlib.axes import Axes
     from matplotlib.figure import Figure
-    from shapely.geometry import Polygon
 
     from inire.geometry.primitives import Port
     from inire.router.pathfinder import RoutingResult
@@ -20,7 +19,18 @@ def plot_routing_results(
     bounds: tuple[float, float, float, float],
     netlist: dict[str, tuple[Port, Port]] | None = None,
 ) -> tuple[Figure, Axes]:
-    """Plot obstacles and routed paths using matplotlib."""
+    """
+    Plot obstacles and routed paths using matplotlib.
+
+    Args:
+        results: Dictionary of net_id to RoutingResult.
+        static_obstacles: List of static obstacle polygons.
+        bounds: Plot limits (minx, miny, maxx, maxy).
+        netlist: Optional original netlist for port visualization.
+
+    Returns:
+        The matplotlib Figure and Axes objects.
+    """
     fig, ax = plt.subplots(figsize=(10, 10))
 
     # Plot static obstacles (gray)
@@ -37,43 +47,42 @@ def plot_routing_results(
             color = "red"  # Highlight failing nets
 
         label_added = False
-        for j, comp in enumerate(res.path):
+        for _j, comp in enumerate(res.path):
             # 1. Plot geometry
             for poly in comp.geometry:
                 # Handle both Polygon and MultiPolygon (e.g. from SBend)
-                geoms = [poly] if hasattr(poly, "exterior") else poly.geoms
+                if isinstance(poly, MultiPolygon):
+                    geoms = list(poly.geoms)
+                else:
+                    geoms = [poly]
+
                 for g in geoms:
                     x, y = g.exterior.xy
                     ax.fill(x, y, alpha=0.7, fc=color, ec="black", label=net_id if not label_added else "")
                     label_added = True
 
             # 2. Plot subtle port orientation arrow for internal ports
-            # (Every segment's end_port except possibly the last one if it matches target)
             p = comp.end_port
-            rad = np.radians(p.orientation)
+            rad = numpy.radians(p.orientation)
-            u = np.cos(rad)
+            u = numpy.cos(rad)
-            v = np.sin(rad)
+            v = numpy.sin(rad)
-
-            # Internal ports get smaller, narrower, semi-transparent arrows
             ax.quiver(p.x, p.y, u, v, color="black", scale=40, width=0.003, alpha=0.3, pivot="tail", zorder=4)
 
         # 3. Plot main arrows for netlist ports (if provided)
         if netlist and net_id in netlist:
             start_p, target_p = netlist[net_id]
             for p in [start_p, target_p]:
-                rad = np.radians(p.orientation)
+                rad = numpy.radians(p.orientation)
-                u = np.cos(rad)
+                u = numpy.cos(rad)
-                v = np.sin(rad)
+                v = numpy.sin(rad)
-                # Netlist ports get prominent arrows
                 ax.quiver(p.x, p.y, u, v, color="black", scale=25, width=0.005, pivot="tail", zorder=6)
 
     ax.set_xlim(bounds[0], bounds[2])
     ax.set_ylim(bounds[1], bounds[3])
     ax.set_aspect("equal")
     ax.set_title("Inire Routing Results")
-    # Only show legend if we have labels
     handles, labels = ax.get_legend_handles_labels()
     if labels:
         ax.legend()
-    ax.grid(alpha=0.6)
+    plt.grid(True)
     return fig, ax