driver.py (homemaker-py-b39): tournament selection, operators.mutate (storey ops down-weighted) + area-matched crossover, every child's geometry delegated to the warm-started inner loop (Lamarckian write-back; children use a single local CMA phase - the exploratory ladder phase exists for cold projections children never face). Budget stated and accounted in oracle evaluations; near-duplicate fitness guard against population collapse (neutral mutations are common, per 8cs). free_with_keys/ratio_map/warm_x0 promoted from the 8cs experiment into innerloop.py as the Lamarckian inheritance API; alignment with solver.free_branches asserted across the corpus. tests/test_driver.py fakes the inner loop: budget accounting, monotone improvement history, warm-start + sigma plumbing, valid .dom output. 31 tests pass. experiments/run_search.py is the end-to-end acceptance run. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
#!/usr/bin/env python3
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"""End-to-end memetic search on programme-house (homemaker-py-b39 acceptance).
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Runs driver.search from a corpus seed within a stated oracle-evaluation
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budget, logs every improvement, writes the best design to
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scratch/search_best.dom and independently re-scores it through the oracle to
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prove the output is a valid .dom whose recorded fitness is reproducible.
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The interesting bar: the seed's geometry-only optimum (inner loop alone,
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DESIGN §4.7 reference: c964435 -> 0.00674). Anything above that is value
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added by *topology* search.
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Run under the go-forward fitness:
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URB_NO_OCCLUSION=1 python3 experiments/run_search.py [budget] [rng-seed]
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"""
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from __future__ import annotations
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import math
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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 import dom, driver, oracle # 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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SEED_FILE = EX / "c964435454c459f86c3ed9a5a7621132.dom"
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OUT = Path(__file__).resolve().parents[1] / "scratch" / "search_best.dom"
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def main() -> int:
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budget = int(sys.argv[1]) if len(sys.argv) > 1 else 2000
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rng_seed = int(sys.argv[2]) if len(sys.argv) > 2 else 0
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print(f"seed={SEED_FILE.name} budget={budget} oracle evals, rng seed {rng_seed}",
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flush=True)
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r = driver.search(dom.load(str(SEED_FILE)), EX, budget=budget,
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urb_root=URB, seed=rng_seed, log=lambda m: print(m, flush=True))
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print(f"\ndone: {r.n_evals} oracle evals across {r.n_topologies} topologies")
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print(f"best: {r.best.fitness:.6g} (fails {r.best.n_fails}) via {r.best.lineage}")
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print("population: " + ", ".join(f"{p.fitness:.4g}/{p.n_fails}f" for p in r.population))
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OUT.parent.mkdir(exist_ok=True)
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dom.dump(r.best.root, str(OUT))
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s = oracle.score(OUT, URB)
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ok = math.isclose(s.fitness, r.best.fitness, rel_tol=1e-9)
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print(f"\n{OUT} re-scored standalone: {s.fitness:.6g} ({s.n_fails} fails) "
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f"-> {'MATCHES search record' if ok else 'MISMATCH'}")
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return 0 if ok else 1
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if __name__ == "__main__":
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sys.exit(main())
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