janik
b62e45a9b4
- 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>
82 lines
3.3 KiB
Python
82 lines
3.3 KiB
Python
"""Offline runner: solve a geometry_dump.json without KiCad.
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python -m fill_resistance.standalone dump.json [--current 40]
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[--cell-um 50] [--layers F.Cu,In1.Cu] [--no-show] [--out DIR]
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[--force-iterative]
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This is the dev loop and the convergence-study tool (KiCad 10 has no
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headless API server, so the plugin path always needs the GUI).
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"""
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from __future__ import annotations
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import argparse
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import sys
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from pathlib import Path
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from . import config, pipeline
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from .errors import UserFacingError
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from .geometry import load_problem
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from .skin import parse_frequency
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def main(argv=None) -> int:
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ap = argparse.ArgumentParser(description=__doc__)
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ap.add_argument("dump", type=Path, help="geometry_dump.json from a plugin run")
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ap.add_argument("--current", type=float, default=None,
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help="test current [A] (default: config TEST_CURRENT_A)")
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ap.add_argument("--freq", type=parse_frequency, default=0.0,
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help="frequency, e.g. 142k or 1.5M (default: DC). "
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"AC results are a lower bound (skin per foil only)")
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ap.add_argument("--cell-um", type=float, default=None,
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help="force grid cell size [um]")
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ap.add_argument("--layers", type=str, default=None,
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help="comma-separated subset of layers to include")
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ap.add_argument("--out", type=Path, default=None,
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help="output directory (default: next to the dump)")
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ap.add_argument("--no-show", action="store_true",
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help="save PNGs only, no windows")
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ap.add_argument("--contact-model", choices=["uniform", "equipotential"],
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default=None, help="contact model (default: config)")
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ap.add_argument("--strip-buildup", action="store_true",
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help="ignore solder buildup stored in the dump")
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ap.add_argument("--extra-cu-um", type=float, default=None,
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help="override the added copper in mask openings [um]")
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ap.add_argument("--force-iterative", action="store_true",
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help="use the iterative solver (AMG-CG, or Jacobi-CG "
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"without pyamg) regardless of problem size")
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args = ap.parse_args(argv)
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if args.cell_um is not None:
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config.CELL_UM_OVERRIDE = args.cell_um
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if args.no_show:
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config.INTERACTIVE = False
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if args.force_iterative:
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config.SPSOLVE_MAX_UNKNOWNS = 0
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problem = load_problem(args.dump)
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if args.strip_buildup:
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problem.buildups = []
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if args.extra_cu_um is not None:
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problem.extra_cu_nm = int(args.extra_cu_um * 1000)
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if args.layers:
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keep = [s.strip() for s in args.layers.split(",")]
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problem.layers = [l for l in problem.layers if l.layer_name in keep]
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if not problem.layers:
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print(f"ERROR: no layer of the dump matches --layers {args.layers}",
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file=sys.stderr)
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return 1
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outdir = args.out if args.out is not None else args.dump.parent
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try:
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pipeline.run(problem, outdir, show=not args.no_show,
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i_test=args.current, freq_hz=args.freq,
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contact_model=args.contact_model)
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except UserFacingError as e:
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print(f"ERROR: {e}", file=sys.stderr)
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return 1
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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