Bruno Postle
646ee30ab6
- src/homemaker/ → src/homemaker_layout/; all imports updated - pyproject.toml: name = homemaker-layout, entry point updated - .beads/config.yaml: dolt sync.remote updated to homemaker-layout.git - Delete temporary debug/perl scripts from project root - README.md, DESIGN.md: package path references updated - GitHub repo renamed; git remote updated Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
79 lines
2.8 KiB
Python
79 lines
2.8 KiB
Python
"""Population sweep: warm-start refine every evolved candidate and tally results.
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For each real .dom in the example dir, score it, run the solver as a geometry
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optimiser (warm-start, no strip), and re-score. Reports how often bottom-up
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sizing improves vs regresses total fitness, plus aggregate fail-count change.
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This is a breadth check on the solver-as-optimiser role; raw fitness is still
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confounded by the 0.5^n failure cliff and any topological defects, so the
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fail-count and per-candidate detail matter as much as the win/loss tally.
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"""
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import shutil
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))
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from homemaker_layout import dom, oracle, programme, solver # noqa: E402
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URB = Path("/home/bruno/src/urb")
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EX = URB / "examples/programme-house"
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def _is_candidate(p: Path) -> bool:
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# real designs: 32-hex hashes or candidate-NNN; skip init and our scratch
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name = p.stem
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return name not in {"init", "original", "roundtrip", "solved", "refined"}
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def main() -> None:
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scratch = Path(__file__).resolve().parents[1] / "scratch"
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scratch.mkdir(exist_ok=True)
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shutil.copy(EX / "patterns.config", scratch / "patterns.config")
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targets = programme.load_programme(str(EX / "patterns.config"))
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doms = sorted(p for p in EX.glob("*.dom") if _is_candidate(p))
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win = loss = tie = 0
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fails_before = fails_after = 0
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rows = []
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for src in doms:
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try:
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shutil.copy(src, scratch / "orig.dom")
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s0 = oracle.score(scratch / "orig.dom", URB)
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root = dom.load(str(src))
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# gentlest refiner: nudge cut POSITIONS for programme-room area only,
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# keep evolved cut angles and leave circulation/shape untouched.
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solver.solve_ratios(
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root, targets, strip=False, perpendicular=False,
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weight_width=0.0, weight_proportion=0.0, min_width_generic=0.0,
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)
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dom.dump(root, str(scratch / "ref.dom"))
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s1 = oracle.score(scratch / "ref.dom", URB)
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except Exception as e: # noqa: BLE001
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rows.append(f" {src.name:40s} ERROR {e}")
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continue
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fails_before += s0.n_fails
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fails_after += s1.n_fails
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if s1.fitness > s0.fitness * 1.001:
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win += 1
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mark = "＋"
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elif s1.fitness < s0.fitness * 0.999:
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loss += 1
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mark = "－"
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else:
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tie += 1
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mark = "="
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rows.append(
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f" {mark} {src.name:40s} {s0.fitness:.4g} -> {s1.fitness:.4g}"
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f" fails {s0.n_fails}->{s1.n_fails}"
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)
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print("\n".join(rows))
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n = win + loss + tie
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print(f"\n{n} candidates: {win} improved, {loss} regressed, {tie} tied")
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print(f"total fails: {fails_before} -> {fails_after}")
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if __name__ == "__main__":
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main()
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