Datasets:
Download tools/package.py from ego0op/ingot-lean-zig: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ego0op/ingot-lean-zig/resolve/main/tools/package.py
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hf download hf://datasets/ego0op/ingot-lean-zig/tools/package.py
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curl -L -o package.py https://huggingface.co/datasets/ego0op/ingot-lean-zig/resolve/main/tools/package.py
6.03 kB
| # ingot-lean-zig packager (Opus · Smelter, 2026-10-29). | |
| # Input : out/lean_algo_v3_1/lean_algo_v3_1_docs.jsonl (one verified unit per line, with params, vectors, expected | |
| # outputs and the operator-matched twin). | |
| # Output: out/ingot_lean_zig/ (gitignored), an HF dataset folder: | |
| # data/train/*.parquet : each unit as a STANDALONE Zig 0.17 file (std import + function + a test block asserting the | |
| # true output on all its vectors); the shipped text itself is re-verified with `zig test`. | |
| # data/twin/*.parquet : the operator-matched twin of each unit (same operators, different wiring; diverges from the | |
| # true function on >= 1 vector), for contrastive / null-control work. Not for plain training. | |
| # stats.json, licenses/ | |
| # Rows whose shipped file fails `zig test` are dropped and counted (stats.json "dropped_on_repackage"). | |
| import json, os, re, sys, hashlib, subprocess, tempfile, shutil, collections | |
| from concurrent.futures import ThreadPoolExecutor | |
| import pyarrow as pa, pyarrow.parquet as pq | |
| ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..', '..')) | |
| SRC = os.path.join(ROOT, 'out', 'lean_algo_v3_1', 'lean_algo_v3_1_docs.jsonl') | |
| OUT = os.path.join(ROOT, 'out', 'ingot_lean_zig') | |
| LIC = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'licenses') | |
| ZIG = os.environ.get('ZIG_BIN', 'zig') | |
| JOBS = int(os.environ.get('JOBS', '2')) | |
| # upstream repo -> (SPDX id, license file). riscv-zkvm: BSD-2-Clause except RiscvZkvm/Rv64/ (MIT) | |
| LICENSES = { | |
| 'leanprover/lean4': ('Apache-2.0', 'lean4.LICENSE'), | |
| 'leanprover-community/batteries': ('Apache-2.0', 'batteries.LICENSE'), | |
| 'leanprover-community/mathlib4': ('Apache-2.0', 'mathlib4.LICENSE'), | |
| 'leanprover/LNSym': ('Apache-2.0', 'LNSym.LICENSE'), | |
| 'Verified-zkEVM/ArkLib': ('Apache-2.0', 'ArkLib.LICENSE'), | |
| 'Verified-zkEVM/CompPoly': ('Apache-2.0', 'CompPoly.LICENSE'), | |
| 'Verified-zkEVM/riscv-zkvm': ('BSD-2-Clause', 'riscv-zkvm.LICENSE'), | |
| } | |
| def license_of(repo, path): | |
| if repo == 'Verified-zkEVM/riscv-zkvm' and path.startswith('RiscvZkvm/Rv64/'): return 'MIT', 'riscv-zkvm.Rv64.LICENSE-MIT' | |
| return LICENSES[repo] | |
| def standalone(u, fn_text): | |
| rt = u['ret_ty'] | |
| checks = ''.join(' try std.testing.expectEqual(@as(%s, %s), %s(%s));\n' % (rt, e, u['fn_name'], ', '.join(v)) | |
| for v, e in zip(u['vectors'], u['expected'])) | |
| return 'const std = @import("std");\n\n' + fn_text.rstrip() + '\n\ntest "%s" {\n%s}\n' % (u['fn_name'], checks) | |
| def ztest(text): | |
| d = tempfile.mkdtemp(prefix='ilz_') | |
| try: | |
| p = os.path.join(d, 'unit.zig'); open(p, 'w').write(text) | |
| try: | |
| q = subprocess.run([ZIG, 'test', 'unit.zig', '--cache-dir', os.path.join(d, '.zc')], cwd=d, | |
| capture_output=True, text=True, timeout=300) | |
| return q.returncode == 0, (q.stderr or '')[-300:] | |
| except subprocess.TimeoutExpired: return False, 'timeout' | |
| finally: shutil.rmtree(d, ignore_errors=True) | |
| def main(): | |
| zv = subprocess.run([ZIG, 'version'], capture_output=True, text=True).stdout.strip() | |
| U = [json.loads(l) for l in open(SRC) if l.strip()] | |
| need = {'fn_name', 'params', 'ret_ty', 'vectors', 'expected', 'twin_text', 'text', 'source_repo', 'source_file'} | |
| miss = need - set(U[0]); assert not miss, 'docs lack fields: %s' % sorted(miss) | |
| files = [standalone(u, u['text']) for u in U] | |
| with ThreadPoolExecutor(JOBS) as ex: res = list(ex.map(ztest, files)) | |
| shutil.rmtree(OUT, ignore_errors=True); os.makedirs(os.path.join(OUT, 'licenses')) | |
| for f in os.listdir(LIC): shutil.copy(os.path.join(LIC, f), os.path.join(OUT, 'licenses', f)) | |
| lic_text = {f: open(os.path.join(LIC, f)).read() for f in os.listdir(LIC)} | |
| train, twin, dropped = [], [], [] | |
| for i, (u, txt, (ok, err)) in enumerate(zip(U, files, res)): | |
| if not ok: dropped.append(dict(fn=u['fn_name'], err=err)); continue | |
| spdx, lf = license_of(u['source_repo'], u['source_file']) | |
| uid = 'ilz-%05d' % len(train) | |
| meta = dict(id=uid, family=u['family'], kind=u.get('kind', ''), lean_decl=u.get('lean_decl', ''), | |
| source_repo=u['source_repo'], source_commit=u.get('source_commit', ''), source_file=u['source_file'], | |
| license=spdx, license_text=lic_text[lf], zig_version=zv) | |
| train.append(dict(meta, text=txt, n_vectors=len(u['vectors']), bytes=len(txt.encode()), | |
| sha256=hashlib.sha256(txt.encode()).hexdigest(), | |
| verify='zig %s test: function plus %d asserted vectors, all pass (x86_64-linux, Debug); ' | |
| 'builder also required ReleaseSafe and aarch64-linux / wasm32-freestanding compiles' % (zv, len(u['vectors'])))) | |
| twin.append(dict(meta, id=uid + '-twin', twin_of=uid, text='const std = @import("std");\n\n' + u['twin_text'].rstrip() + '\n', | |
| diverges_on=[int(x) for x in u.get('twin_diverges_on', [])])) | |
| for name, R in (('train', train), ('twin', twin)): | |
| os.makedirs(os.path.join(OUT, 'data', name)) | |
| pq.write_table(pa.Table.from_pylist(R), os.path.join(OUT, 'data', name, 'train-00000-of-00001.parquet'), compression='zstd') | |
| fam = collections.Counter(r['family'] for r in train); fb = collections.Counter() | |
| for r in train: fb[r['family']] += r['bytes'] | |
| tot = sum(fb.values()) | |
| stats = dict(zig_version=zv, units_in=len(U), units=len(train), dropped_on_repackage=len(dropped), dropped=dropped[:50], | |
| bytes=tot, est_tokens=round(tot / 3.27), | |
| families={f: dict(units=fam[f], bytes=fb[f], byte_share=round(fb[f] / tot, 4)) for f in sorted(fam)}, | |
| licenses=dict(collections.Counter(r['license'] for r in train))) | |
| json.dump(stats, open(os.path.join(OUT, 'stats.json'), 'w'), indent=1) | |
| print(json.dumps({k: v for k, v in stats.items() if k not in ('dropped', 'families')})) | |
| if __name__ == '__main__': | |
| main() | |