Speed up rasterization ~40x and large solves ~2x

- Hybrid rasterizer: PIL scanline fill for the bulk, with cells in a
  ~2 px band around each ring edge re-tested exactly against the
  polygon - cell-for-cell identical to the old center-in-polygon pass
  (equivalence test added) but O(vertices + cells) instead of
  O(vertices x cells). Measured 4.5 s -> 0.11 s at 1.45M cells with
  8.8k polygon vertices.
- AMG-preconditioned CG (pyamg, new requirement) above 500k unknowns:
  measured 7.0 s vs 15.3 s spsolve at 1.4M unknowns at a fraction of
  the memory, R identical to 1e-6; the old Jacobi-CG (kept as fallback
  when pyamg is missing) needed tens of minutes there. spsolve stays
  the default below 500k where it is exact and fastest.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

fill_resistance/standalone.py

@@ -42,7 +42,8 @@ def main(argv=None) -> int:
     ap.add_argument("--extra-cu-um", type=float, default=None,
                     help="override the added copper in mask openings [um]")
     ap.add_argument("--force-iterative", action="store_true",
-                    help="use CG (Jacobi) regardless of problem size")
+                    help="use the iterative solver (AMG-CG, or Jacobi-CG "
+                         "without pyamg) regardless of problem size")
     args = ap.parse_args(argv)
 
     if args.cell_um is not None: