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| """AGA-Code Stage B / Stage C dataset builder (v2 — with Guy's review folded in). | |
| Review compliance built into this file: | |
| 1. ~10 families HELD OUT of Stage B entirely (transfer test set). | |
| 2. ~20% of Stage B examples are already-correct drafts ("clean"): the | |
| critique explicitly says no bug was found and revise is a no-op. | |
| Bug kinds mirror real small-model errors (off_by_one, wrong_operator, | |
| missing_return, wrong_variable, wrong_edge, swapped_branch, missing_case). | |
| 3. Stage C is tiered: a LARGE easy tier + standard + held-out tier, and | |
| every Stage C instruction states the exact function signature. | |
| 4. Stage C problems are mutation-scored: >=5 mutants per problem, problems | |
| with mutation score < 0.6 are DROPPED. | |
| 5. Stage B / Stage C instructions are disjoint (normalized-hash check). | |
| 6. No model generation/decoding anywhere in this build (pure subprocess | |
| execution harness) — tokenizer-independent; aga_code.py is v0.1.7. | |
| Usage: | |
| python build.py selftest | pilot | full | |
| """ | |
| import hashlib | |
| import json | |
| import os | |
| import random | |
| import sys | |
| import time | |
| from concurrent.futures import ProcessPoolExecutor | |
| from datetime import date | |
| sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) | |
| from framework import (REGISTRY, THINK_SKELETONS, CRITIQUE_TEMPLATES, CRITIQUE_CLEAN, | |
| MASTER_SEED, run_tests, exec_run, | |
| trivial_wrong_solutions, sha256_hex, norm_instruction) | |
| import families_a, families_b, families_c # noqa: F401 — registers families | |
| WORK = os.path.dirname(os.path.abspath(__file__)) | |
| MAX_CHARS = 12000 | |
| FAM_CAP = 0.10 | |
| PHRASE_CAP = 0.05 | |
| CLEAN_FRACTION = 0.20 | |
| MUTATION_MIN = 0.6 | |
| MUTATION_COUNT_MIN = 5 | |
| HELD_OUT = { | |
| "caesar_cipher", "run_length_encode", "merge_sorted", "prime_factors", | |
| "collatz_steps", "quicksort", "csv_parse_line", "eval_expr", | |
| "bank_account", "matrix_multiply", | |
| } | |
| CLEAN_CHECKS = [ | |
| "bounds, operators, and return values", | |
| "control flow and edge cases", | |
| "loop bounds, comparisons, and the return statement", | |
| "the specification, point by point", | |
| ] | |
| OP_FLIPS = [(" == ", " != "), (" != ", " == "), (" <= ", " >= "), (" >= ", " <= "), | |
| (" < ", " > "), (" > ", " < "), (" + ", " - "), (" - ", " + "), | |
| (" * ", " + "), (" % ", " * ")] | |
| # -------------------------------------------------------------------------- | |
| # Mutants for Stage C mutation scoring (generic, generator-independent) | |
| # -------------------------------------------------------------------------- | |
| def _shells(ref): | |
| lines = ref.splitlines() | |
| first = lines[0] | |
| shells = [] | |
| if first.startswith("def "): | |
| for body in ["return None", "return 0", "return []", "return ''", | |
| "raise RuntimeError('mutant')"]: | |
| shells.append(first + "\n " + body) | |
| elif first.startswith("class "): | |
| name = first[6:].rstrip(":").strip() | |
| shells.append(f"class {name}:\n def __init__(self, *a, **k):\n" | |
| " raise RuntimeError('mutant')") | |
| methods = [ln.strip()[4:-1] for ln in lines[1:] | |
| if ln.strip().startswith("def ") and "__init__" not in ln] | |
| if methods: | |
| body = [f"class {name}:", " def __init__(self, *a, **k):", " pass"] | |
| for m in methods: | |
| body.append(f" def {m}:") | |
| body.append(" return None") | |
| shells.append("\n".join(body)) | |
| return shells | |
| def generic_mutants(g): | |
| """Mutants in priority order: family bugs, operator flips, return-None | |
| mutants, trivial shells. Caller caps the count.""" | |
| ref = g.reference | |
| muts = [b.code for b in g.bugs] | |
| for a, b in OP_FLIPS: | |
| if a in ref: | |
| muts.append(ref.replace(a, b, 1)) | |
| lines = ref.splitlines() | |
| for i, ln in enumerate(lines): | |
| if ln.lstrip().startswith("return ") and "None" not in ln: | |
| m = lines[:] | |
| indent = ln[:len(ln) - len(ln.lstrip())] | |
| m[i] = indent + "return None" | |
| muts.append("\n".join(m)) | |
| muts.extend(_shells(ref)) | |
| seen, out = set(), [] | |
| for m in muts: | |
| if m == ref: | |
| continue | |
| h = sha256_hex(m) | |
| if h in seen: | |
| continue | |
| try: | |
| compile(m, "<mutant>", "exec") | |
| except SyntaxError: | |
| continue | |
| seen.add(h) | |
| out.append(m) | |
| return out | |
| def example_block(tests): | |
| """A concrete worked example (setup + first assert) embedded in the | |
| instruction — makes instructions instance-specific (combinatorial | |
| diversity) instead of bare templates.""" | |
| lines = tests.splitlines() | |
| setup = [ln for ln in lines if ln.strip() and not ln.strip().startswith("assert")] | |
| asserts = [ln for ln in lines if ln.strip().startswith("assert")] | |
| block = setup + asserts[:1] | |
| return "\n\nExample:\n" + "\n".join(block) | |
| def first_failing_assert_fast(code, tests, timeout=1.5): | |
| setup = [ln for ln in tests.splitlines() | |
| if ln.strip() and not ln.strip().startswith("assert")] | |
| asserts = [ln for ln in tests.splitlines() if ln.strip().startswith("assert")] | |
| ctx = "\n".join(setup) | |
| for ln in asserts[:4]: | |
| if not exec_run(code, (ctx + "\n" + ln) if ctx else ln, timeout=timeout): | |
| return ln.strip() | |
| return None | |
| def signature_block(ref): | |
| lines = ref.splitlines() | |
| first = lines[0].strip() | |
| if first.startswith("class "): | |
| name = first[6:].rstrip(":").strip() | |
| methods = [ln.strip()[4:-1] for ln in lines[1:] | |
| if ln.strip().startswith("def ") and "__init__" not in ln] | |
| return f"class {name} with methods: {', '.join(methods)}" | |
| return first.rstrip(":") | |
| # -------------------------------------------------------------------------- | |
| # Instance assembly (worker processes) | |
| # -------------------------------------------------------------------------- | |
| def assemble_stage_b(job): | |
| fam_idx, seed = job | |
| rng = random.Random(seed) | |
| fam = REGISTRY[fam_idx] | |
| if fam.name in HELD_OUT: | |
| return None, {"family": fam.name, "reason": "held_out"} | |
| g = fam.gen(rng, hard=(rng.random() < 0.4)) | |
| if not exec_run(g.reference, g.tests): | |
| return None, {"family": fam.name, "reason": "ref_fail"} | |
| instruction = g.instruction + example_block(g.tests) | |
| think = rng.choice(THINK_SKELETONS).format(**g.think_slots) | |
| kind = "clean" | |
| if rng.random() < CLEAN_FRACTION: | |
| critique = rng.choice(CRITIQUE_CLEAN).format( | |
| ref=g.reference, check=rng.choice(CLEAN_CHECKS)) | |
| clean = True | |
| else: | |
| clean = False | |
| bugs = list(g.bugs) | |
| rng.shuffle(bugs) | |
| chosen, failing = None, None | |
| for b in bugs: | |
| if not exec_run(b.code, g.tests): | |
| chosen = b | |
| failing = first_failing_assert_fast(b.code, g.tests) | |
| break | |
| if chosen is None: | |
| return None, {"family": fam.name, "reason": "no_bug"} | |
| critique = rng.choice(CRITIQUE_TEMPLATES[chosen.kind]).format( | |
| buggy=chosen.code, note=chosen.note, failing=failing or "(a test case)") | |
| kind = chosen.kind | |
| row = { | |
| "instruction": instruction, "think": think, "critique": critique, | |
| "revise": g.reference, "answer": g.reference, "tests": g.tests, | |
| "family": fam.name, "difficulty": g.difficulty, "seed": seed, | |
| "clean": clean, "_phrasing": g.phrasing, "_kind": kind, | |
| } | |
| return row, None | |
| def assemble_stage_c(job): | |
| fam_idx, seed, tier = job | |
| rng = random.Random(seed) | |
| fam = REGISTRY[fam_idx] | |
| hard = (tier == "standard" and rng.random() < 0.8) or \ | |
| (tier == "held_out" and rng.random() < 0.5) | |
| g = fam.gen(rng, hard=hard) | |
| if not exec_run(g.reference, g.tests): | |
| return None, {"family": fam.name, "reason": "ref_fail", "tier": tier} | |
| wrongs = trivial_wrong_solutions(g) | |
| if not any(not exec_run(w, g.tests) for w in wrongs): | |
| return None, {"family": fam.name, "reason": "vacuous", "tier": tier} | |
| muts = generic_mutants(g)[:10] | |
| if len(muts) < MUTATION_COUNT_MIN: | |
| return None, {"family": fam.name, "reason": "few_mutants", "tier": tier} | |
| killed = sum(1 for m in muts if not exec_run(m, g.tests, timeout=1.0)) | |
| score = killed / len(muts) | |
| if score < MUTATION_MIN: | |
| return None, {"family": fam.name, "reason": "low_mutation", "tier": tier} | |
| sig = signature_block(g.reference) | |
| base_instruction = g.instruction + example_block(g.tests) | |
| instruction = (base_instruction + | |
| f"\n\nImplement exactly this signature: `{sig}`. " | |
| "The tests call it directly.") | |
| row = { | |
| "instruction": instruction, "_base_instruction": base_instruction, | |
| "tests": g.tests, "family": fam.name, "difficulty": g.difficulty, | |
| "seed": seed, "tier": tier, "mutation_score": round(score, 3), | |
| "_phrasing": g.phrasing, "_reference": g.reference, | |
| } | |
| return row, None | |
| # -------------------------------------------------------------------------- | |
| # Driver helpers | |
| # -------------------------------------------------------------------------- | |
| def run_jobs(assembler, jobs): | |
| rows, discards = [], {} | |
| workers = min(8, os.cpu_count() or 4) | |
| with ProcessPoolExecutor(max_workers=workers) as ex: | |
| for row, disc in ex.map(assembler, jobs, chunksize=16): | |
| if row is None: | |
| k = f"{disc['family']}/{disc['reason']}" | |
| discards[k] = discards.get(k, 0) + 1 | |
| else: | |
| rows.append(row) | |
| return rows, discards | |
| def dedupe_cap(rows, key_fn, total_target, stats): | |
| seen, out = set(), [] | |
| for r in rows: | |
| h = sha256_hex(key_fn(r)) | |
| if h in seen: | |
| stats["dups"] += 1 | |
| continue | |
| seen.add(h) | |
| out.append(r) | |
| cap_f = int(total_target * FAM_CAP) | |
| cap_p = int(total_target * PHRASE_CAP) | |
| kept, fc, pc = [], {}, {} | |
| for r in out: | |
| if fc.get(r["family"], 0) >= cap_f or pc.get(r["_phrasing"], 0) >= cap_p: | |
| stats["cap_drops"] += 1 | |
| continue | |
| fc[r["family"]] = fc.get(r["family"], 0) + 1 | |
| pc[r["_phrasing"]] = pc.get(r["_phrasing"], 0) + 1 | |
| kept.append(r) | |
| return kept[:total_target] | |
| def famdist(rows, key="family"): | |
| d = {} | |
| for r in rows: | |
| d[r[key]] = d.get(r[key], 0) + 1 | |
| return d | |
| def sha256_file(path): | |
| h = hashlib.sha256() | |
| with open(path, "rb") as f: | |
| for chunk in iter(lambda: f.read(1 << 20), b""): | |
| h.update(chunk) | |
| return h.hexdigest() | |
| # -------------------------------------------------------------------------- | |
| # Build stages | |
| # -------------------------------------------------------------------------- | |
| def build_stage_b(target, log): | |
| t0 = time.time() | |
| pool = [i for i, f in enumerate(REGISTRY) if f.name not in HELD_OUT] | |
| rng = random.Random(MASTER_SEED + 11) | |
| n = int(target * 1.35) + 50 | |
| jobs = [(pool[rng.randrange(len(pool))], MASTER_SEED * 1000003 + 11 * 7919 + i) | |
| for i in range(n)] | |
| rows, discards = run_jobs(assemble_stage_b, jobs) | |
| rows = [r for r in rows | |
| if len(r["instruction"] + r["think"] + r["critique"] + | |
| r["revise"] + r["answer"]) <= MAX_CHARS] | |
| stats = {"dups": 0, "cap_drops": 0} | |
| kept = dedupe_cap(rows, lambda r: r["instruction"] + "\x00" + r["answer"], | |
| target, stats) | |
| log["stage_b"] = {"generated": len(jobs), "assembled": len(rows), | |
| "kept": len(kept), "discards": discards, | |
| "dedup": stats, "seconds": round(time.time() - t0, 1)} | |
| print(f"[stage_b] generated {len(jobs)} -> assembled {len(rows)} -> kept " | |
| f"{len(kept)} (discards={sum(discards.values())}) " | |
| f"in {log['stage_b']['seconds']}s") | |
| for k, c in sorted(discards.items(), key=lambda x: -x[1])[:12]: | |
| print(f"[stage_b] discard {k}: {c}") | |
| return kept | |
| TIER_POOLS = { | |
| "easy": lambda f: f.name not in HELD_OUT and f.difficulty in ("easy", "medium"), | |
| "standard": lambda f: f.name not in HELD_OUT and f.difficulty in ("medium", "hard"), | |
| "held_out": lambda f: f.name in HELD_OUT, | |
| } | |
| def build_stage_c(tier_targets, log): | |
| kept_all = [] | |
| log["stage_c"] = {} | |
| for tier, target in tier_targets.items(): | |
| t0 = time.time() | |
| pool = [i for i, f in enumerate(REGISTRY) if TIER_POOLS[tier](f)] | |
| # NB: str hash() is process-salted (PYTHONHASHSEED); use a fixed map so | |
| # tier job selection is reproducible row-for-row. | |
| rng = random.Random(MASTER_SEED + {"easy": 11, "standard": 22, "held_out": 33}[tier]) | |
| over = {"easy": 1.5, "standard": 1.6, "held_out": 2.3}[tier] | |
| n = int(target * over) + 30 | |
| base = {"easy": 101, "standard": 202, "held_out": 303}[tier] | |
| jobs = [(pool[rng.randrange(len(pool))], | |
| MASTER_SEED * 1000003 + base * 7919 + i, tier) for i in range(n)] | |
| rows, discards = run_jobs(assemble_stage_c, jobs) | |
| stats = {"dups": 0, "cap_drops": 0} | |
| kept = dedupe_cap(rows, lambda r: r["_base_instruction"] + "\x00" + r["tests"], | |
| target, stats) | |
| scores = [r["mutation_score"] for r in kept] | |
| log["stage_c"][tier] = { | |
| "generated": len(jobs), "assembled": len(rows), "kept": len(kept), | |
| "assembly_rate": round(len(rows) / max(1, len(jobs)), 3), | |
| "acceptance": round(len(kept) / max(1, len(rows)), 3), | |
| "discards": discards, "dedup": stats, | |
| "mutation_mean": round(sum(scores) / max(1, len(scores)), 3), | |
| "mutation_min": min(scores) if scores else None, | |
| "seconds": round(time.time() - t0, 1), | |
| } | |
| print(f"[stage_c:{tier}] generated {len(jobs)} -> kept {len(kept)} " | |
| f"(acceptance {log['stage_c'][tier]['acceptance']}, " | |
| f"mutation mean {log['stage_c'][tier]['mutation_mean']}) " | |
| f"in {log['stage_c'][tier]['seconds']}s") | |
| for k, c in sorted(discards.items(), key=lambda x: -x[1])[:8]: | |
| print(f"[stage_c:{tier}] discard {k}: {c}") | |
| kept_all.extend(kept) | |
| return kept_all | |
| def main(): | |
| mode = sys.argv[1] if len(sys.argv) > 1 else "pilot" | |
| assert mode in ("pilot", "full", "selftest"), mode | |
| if mode == "selftest": | |
| bad = [] | |
| for i, fam in enumerate(REGISTRY): | |
| row, disc = assemble_stage_c((i, MASTER_SEED + i, "held_out")) | |
| if row is None: | |
| bad.append((fam.name, disc["reason"])) | |
| print(f"[selftest] FAIL(stageC) {fam.name}: {disc['reason']}") | |
| if fam.name not in HELD_OUT: | |
| row, disc = assemble_stage_b((i, MASTER_SEED + i)) | |
| if row is None: | |
| bad.append((fam.name, disc["reason"])) | |
| print(f"[selftest] FAIL(stageB) {fam.name}: {disc['reason']}") | |
| print(f"[selftest] {len(REGISTRY) * 2 - len(HELD_OUT) * 1 - len(bad)} checks, " | |
| f"{len(bad)} failures") | |
| if bad: | |
| sys.exit(1) | |
| return | |
| if mode == "pilot": | |
| n_b, tiers = 500, {"easy": 150, "standard": 100, "held_out": 50} | |
| tag = "pilot" | |
| else: | |
| n_b, tiers = 25000, {"easy": 5000, "standard": 3500, "held_out": 1500} | |
| tag = "v1" | |
| log = {} | |
| rows_b = build_stage_b(n_b, log) | |
| rows_c = build_stage_c(tiers, log) | |
| # cross-set disjointness on BASE instructions (point 5) | |
| b_hashes = {sha256_hex(norm_instruction(r["instruction"])) for r in rows_b} | |
| before = len(rows_c) | |
| rows_c = [r for r in rows_c | |
| if sha256_hex(norm_instruction(r["_base_instruction"])) not in b_hashes] | |
| overlap = before - len(rows_c) | |
| print(f"[overlap] dropped {overlap} stage_c rows sharing an instruction with stage_b") | |
| # top up tiers back to target after the overlap filter (fresh seeds, | |
| # checked against both B and the rows already kept for C) | |
| def c_jobs(tier, n, base_tag): | |
| pool = [i for i, f in enumerate(REGISTRY) if TIER_POOLS[tier](f)] | |
| rng = random.Random(MASTER_SEED + {"easy": 11, "standard": 22, "held_out": 33}[tier] + base_tag) | |
| return [(pool[rng.randrange(len(pool))], | |
| MASTER_SEED * 1000003 + (base_tag + 500) * 7919 + i, tier) | |
| for i in range(n)] | |
| topup_added = 0 | |
| for tier, target in tiers.items(): | |
| short = target - sum(1 for r in rows_c if r["tier"] == tier) | |
| rounds = 0 | |
| while short > 0 and rounds < 8: | |
| rounds += 1 | |
| seen_c = {sha256_hex(r["_base_instruction"] + "\x00" + r["tests"]) | |
| for r in rows_c} | |
| n = int(short * 1.9) + 25 | |
| extra_rows, _ = run_jobs(assemble_stage_c, c_jobs(tier, n, 900 + rounds * 100)) | |
| fresh = [] | |
| for r in extra_rows: | |
| h_b = sha256_hex(norm_instruction(r["_base_instruction"])) | |
| h_c = sha256_hex(r["_base_instruction"] + "\x00" + r["tests"]) | |
| if h_b in b_hashes or h_c in seen_c: | |
| continue | |
| seen_c.add(h_c) | |
| fresh.append(r) | |
| added = fresh[:short] | |
| rows_c.extend(added) | |
| topup_added += len(added) | |
| short = target - sum(1 for r in rows_c if r["tier"] == tier) | |
| print(f"[topup] tier={tier} round={rounds} added={len(added)} short_now={short}") | |
| print(f"[topup] total added={topup_added}") | |
| rng = random.Random(MASTER_SEED) | |
| rng.shuffle(rows_b) | |
| rng.shuffle(rows_c) | |
| for i, r in enumerate(rows_b, 1): | |
| r["id"] = f"stageb_{i:06d}" | |
| for i, r in enumerate(rows_c, 1): | |
| r["id"] = f"stagec_{i:06d}" | |
| # Re-verify a random sample with the TRUE subprocess harness | |
| # (aga_code.run_tests semantics) — the build gates use the fast | |
| # in-process runner; this sample proves they agree. | |
| vrng = random.Random(MASTER_SEED + 7) | |
| vs_b = vrng.sample(rows_b, min(200, len(rows_b))) | |
| vs_c = vrng.sample(rows_c, min(100, len(rows_c))) | |
| vb_ok = sum(1 for r in vs_b if run_tests(r["answer"], r["tests"])) | |
| vc_ok = sum(1 for r in vs_c if run_tests(r["_reference"], r["tests"])) | |
| reverify = {"stage_b": f"{vb_ok}/{len(vs_b)}", "stage_c": f"{vc_ok}/{len(vs_c)}"} | |
| print(f"[reverify] subprocess sample: B {reverify['stage_b']} C {reverify['stage_c']}") | |
| pre = "pilot_" if mode == "pilot" else "" | |
| pb = os.path.join(WORK, f"{pre}stage_b.jsonl") | |
| pc = os.path.join(WORK, f"{pre}stage_c.jsonl") | |
| pcv = os.path.join(WORK, f"{pre}stage_c_verify.jsonl") | |
| def write_jsonl(path, rows, fields): | |
| with open(path, "w") as f: | |
| for r in rows: | |
| f.write(json.dumps({k: r[k] for k in fields}) + "\n") | |
| write_jsonl(pb, rows_b, ["id", "instruction", "think", "critique", "revise", | |
| "answer", "tests", "family", "difficulty", "seed", "clean"]) | |
| write_jsonl(pc, rows_c, ["id", "instruction", "tests", "family", "difficulty", | |
| "tier", "mutation_score"]) | |
| write_jsonl(pcv, rows_c, ["id", "instruction", "tests", "family", "difficulty", | |
| "tier", "mutation_score", "_reference"]) | |
| # rename _reference -> reference_solution in verify file | |
| vrows = [] | |
| with open(pcv) as f: | |
| for line in f: | |
| r = json.loads(line) | |
| r["reference_solution"] = r.pop("_reference") | |
| vrows.append(r) | |
| with open(pcv, "w") as f: | |
| for r in vrows: | |
| f.write(json.dumps(r) + "\n") | |
| kinds = famdist(rows_b, "_kind") | |
| clean_n = sum(1 for r in rows_b if r["clean"]) | |
| manifest = { | |
| "name": "AGA-Code Stage B/C datasets", | |
| "version": "1.0.0" if mode == "full" else "0.2.0-pilot", | |
| "date": str(date.today()), | |
| "seed": MASTER_SEED, | |
| "held_out_families": sorted(HELD_OUT), | |
| "all_families": sorted(f.name for f in REGISTRY), | |
| "generator_sha256": { | |
| os.path.basename(p): sha256_file(os.path.join(WORK, p)) | |
| for p in ["framework.py", "families_a.py", "families_b.py", | |
| "families_c.py", "build.py"] | |
| if os.path.exists(os.path.join(WORK, p)) | |
| }, | |
| "stage_b": {"file": os.path.basename(pb), "rows": len(rows_b), | |
| "per_family": famdist(rows_b), "difficulty": famdist(rows_b, "difficulty"), | |
| "clean_examples": clean_n, | |
| "clean_fraction": round(clean_n / max(1, len(rows_b)), 3), | |
| "bug_kind_distribution": kinds, | |
| "sha256": sha256_file(pb), "build": log["stage_b"]}, | |
| "stage_c": {"file": os.path.basename(pc), "rows": len(rows_c), | |
| "shipped_per_tier": famdist(rows_c, "tier"), | |
| "per_family": famdist(rows_c), "difficulty": famdist(rows_c, "difficulty"), | |
| "per_tier": {t: log["stage_c"][t] for t in tiers}, | |
| "sha256": sha256_file(pc), | |
| "verify_file": os.path.basename(pcv), | |
| "verify_sha256": sha256_file(pcv)}, | |
| "gates": { | |
| "stage_b_answers_pass_tests": "100% (execution-verified at build)", | |
| "stage_b_buggy_drafts_fail": "100% of non-clean (failing assert observed)", | |
| "stage_c_tests_pass_reference": "100% (execution-verified)", | |
| "stage_c_mutation": f">= {MUTATION_COUNT_MIN} mutants/problem, score >= {MUTATION_MIN}", | |
| "cross_set_overlap_dropped": overlap, | |
| "cross_set_overlap_topped_up": topup_added, | |
| "subprocess_reverify_sample": reverify, | |
| }, | |
| "notes": [ | |
| "Tokenizer: build performs no model generation/decoding (pure " | |
| "subprocess execution harness); aga_code.py is v0.1.7 with the " | |
| "TokWrapper decoder fix — required for any future generation use.", | |
| "Stage C reference solutions are HELD OUT in the verify file only.", | |
| ], | |
| } | |
| mp = os.path.join(WORK, f"manifest_{tag}.json") | |
| with open(mp, "w") as f: | |
| json.dump(manifest, f, indent=2) | |
| print(f"[done] {pb}: {len(rows_b)} rows | {pc}: {len(rows_c)} rows") | |
| print(f"[done] B clean fraction: {manifest['stage_b']['clean_fraction']} " | |
| f"kinds: {kinds}") | |
| print(f"[done] B difficulty: {manifest['stage_b']['difficulty']}") | |
| print(f"[done] C difficulty: {manifest['stage_c']['difficulty']}") | |
| print(f"[done] manifest: {mp}") | |
| if __name__ == "__main__": | |
| main() | |