claude-opus-5

{
  "command": "sleep 115; tail -2 /tmp/cur4.log; cat /workspace/.timer/remaining_secs"
}

{
  "command": "sleep 175; tail -2 /tmp/cur4.log"
}

{
  "command": "sleep 115; tail -3 /tmp/cur4.log"
}

{
  "command": "cd /workspace; cp submission/selection.json /tmp/selD.json; nohup bash dev_eval.sh /tmp/selD.json > /tmp/evD.log 2>&1 & sleep 230; grep PPL /tmp/evD.log; cat .timer/remaining_secs"
}

{
  "command": "sleep 150; grep PPL /tmp/evD.log; cat /workspace/.timer/remaining_secs"
}

{
  "command": "grep PPL /tmp/evD.log; cat /workspace/.timer/remaining_secs"
}

{
  "command": "cd /workspace; python - <<'EOF'\np='submission/curate.py'; s=open(p).read()\ns=s.replace('import json, re, sys, zlib','import json, os, re, sys, zlib')\ns=s.replace('''    np.savez(\"/tmp/scores.npz\", S=S, ids=ids, flen=np.array(flen))''',\n'''    sig_arr = np.array([list(sum(x, ())) if x else [0] * 8 for x in sigs], dtype=np.int64)\n    np.savez(\"/tmp/scores.npz\", S=S, ids=ids, flen=np.array(flen), sigs=sig_arr)''')\ns=s.replace('''def main():\n    print(\"decoding dev target ...\", flush=True)''','''def main():\n    if os.environ.get(\"REUSE\") and os.path.exists(\"/tmp/scores.npz\"):\n        d = np.load(\"/tmp/scores.npz\")\n        sa = d[\"sigs\"]\n        sigs = [None if not sa[i].any() else tuple((int(sa[i][2*b]), int(sa[i][2*b+1]))\n                                                   for b in range(4))\n                for i in range(len(sa))]\n        order = build(d[\"S\"], d[\"ids\"], d[\"flen\"], sigs)\n        assert len(set(order)) == len(order)\n        json.dump(order, open(OUT, \"w\"))\n        print(f\"wrote {len(order)} ids -> {OUT}\")\n        return\n    print(\"decoding dev target ...\", flush=True)''')\n# length cap knob: documents far longer than the scored head are down-ranked\ns=s.replace('''    ranked = {}\n    for k, (name, _, _) in enumerate(BLOCKS):\n        ranked[name] = np.argsort(-S[:, k])''','''    cap = int(os.environ.get(\"LENCAP\", \"0\"))\n    ok = flen <= cap if cap else np.ones(len(flen), dtype=bool)\n    ranked = {}\n    for k, (name, _, _) in enumerate(BLOCKS):\n        sc = np.where(ok, S[:, k], -1e9)   # only score-rank docs the head represents\n        ranked[name] = np.argsort(-sc)''')\ns=s.replace('MIX = {\"wiki\": 0.25, \"news\": 0.25, \"web\": 0.25, \"qa\": 0.25}',\n 'MIX = json.loads(os.environ.get(\"MIX\", \\'{\"wiki\":0.25,\"news\":0.25,\"web\":0.25,\"qa\":0.25}\\'))')\nopen(p,'w').write(s)\nEOF\npython -c \"import ast;ast.parse(open('submission/curate.py').read())\" && nohup python submission/curate.py > /tmp/cur5.log 2>&1 & sleep 5; echo go"
}

{
  "command": "sleep 240; tail -2 /tmp/cur5.log; cat /workspace/.timer/remaining_secs"
}

{
  "command": "sleep 175; tail -2 /tmp/cur5.log; cat /workspace/.timer/remaining_secs"
}

{
  "command": "sleep 60; tail -2 /tmp/cur5.log; cat /workspace/.timer/remaining_secs; ls -la /tmp/scores.npz"
}

{
  "command": "cd /workspace; nproc; python - <<'EOF'\np='submission/curate.py'; s=open(p).read()\ns=s.replace('''                if sigs is not None and sigs[i] is not None:''','''                if os.environ.get(\"DEDUP\") == \"strict\" and sigs is not None and sigs[i] is not None:\n                    flat = [h for pair in sigs[i] for h in pair]\n                    if any((\"s\", h) in bands for h in flat):\n                        continue\n                    bands.update((\"s\", h) for h in flat)\n                elif sigs is not None and sigs[i] is not None:''')\nopen(p,'w').write(s)\nEOF\npython -c \"import ast;ast.parse(open('submission/curate.py').read())\"\nREUSE=1 LENCAP=30000 python submission/curate.py >/dev/null 2>&1 && cp submission/selection.json /tmp/selE.json && python -c \"import json;print('E',len(json.load(open('/tmp/selE.json'))))\"\nREUSE=1 DEDUP=strict python submission/curate.py >/dev/null 2>&1 && cp submission/selection.json /tmp/selF.json && python -c \"import json;print('F',len(json.load(open('/tmp/selF.json'))))\""
}

{
  "command": "cd /workspace; export TOKENIZERS_PARALLELISM=false\n(python pack_selection.py /tmp/selE.json /tmp/tE.npy >/dev/null 2>&1; python train_nano.py --train_npy /tmp/tE.npy --heldout_npy data/multi_dev.npy --out_json /tmp/E.json 2>&1|grep PPL > /tmp/rE.txt) &\n(python pack_selection.py /tmp/selF.json /tmp/tF.npy >/dev/null 2>&1; sleep 90; python train_nano.py --train_npy /tmp/tF.npy --heldout_npy data/multi_dev.npy --out_json /tmp/F.json 2>&1|grep PPL > /tmp/rF.txt) &\nsleep 115; cat /tmp/rE.txt /tmp/rF.txt 2>/dev/null; cat .timer/remaining_secs"
}

{
  "command": "cd /workspace; export TOKENIZERS_PARALLELISM=false\nREUSE=1 MIX='{\"wiki\":0.30,\"news\":0.20,\"web\":0.20,\"qa\":0.30}' python submission/curate.py >/dev/null 2>&1 && cp submission/selection.json /tmp/selG.json\n(python pack_selection.py /tmp/selG.json /tmp/tG.npy >/dev/null 2>&1; sleep 60; python train_nano.py --train_npy /tmp/tG.npy --heldout_npy data/multi_dev.npy --out_json /tmp/G.json 2>&1|grep PPL > /tmp/rG.txt) &\nsleep 110; cat /tmp/rF.txt; cat .timer/remaining_secs"
}

{
  "command": "sleep 130; cat /tmp/rG.txt; cat /workspace/.timer/remaining_secs"
}

{
  "command": "sleep 45; cat /tmp/rG.txt; cat /workspace/.timer/remaining_secs"
}

{
  "command": "cd /workspace; export TOKENIZERS_PARALLELISM=false; python - <<'EOF'\np='submission/curate.py'; s=open(p).read()\ns=s.replace('''                elif sigs is not None and sigs[i] is not None:''','''                elif os.environ.get(\"DEDUP\") == \"loose\" and sigs is not None and sigs[i] is not None:\n                    flat = [h for pair in sigs[i] for h in pair]\n                    b2 = [tuple(flat[:4]), tuple(flat[4:])]\n                    if any(x in bands for x in b2):\n                        continue\n                    bands.update(b2)\n                elif sigs is not None and sigs[i] is not None:''')\nopen(p,'w').write(s)\nEOF\nREUSE=1 DEDUP=loose python submission/curate.py >/dev/null 2>&1 && cp submission/selection.json /tmp/selH.json && python -c \"import json;print('H',len(json.load(open('/tmp/selH.json'))))\"\n(python pack_selection.py /tmp/selH.json /tmp/tH.npy >/dev/null 2>&1; python train_nano.py --train_npy /tmp/tH.npy --heldout_npy data/multi_dev.npy --out_json /tmp/H.json 2>&1|grep PPL > /tmp/rH.txt) &\nsleep 20; echo launched"
}

{
  "command": "cd /workspace; REUSE=1 python submission/curate.py 2>&1 | tail -2; python - <<'EOF'\nimport json\na=json.load(open('/workspace/submission/selection.json')); b=json.load(open('/tmp/selD.json'))\nprint('reproduces D:', a==b, len(a), 'unique:', len(set(a))==len(a), 'range ok:', min(a)>=0 and max(a)<182016)\nEOF"
}

{
  "command": "sleep 170; cat /tmp/rH.txt; cat /workspace/.timer/remaining_secs"
}

{
  "command": "sleep 90; cat /tmp/rH.txt; cat /workspace/.timer/remaining_secs"
}

{
  "command": "cd /workspace; cp submission/selection.json /tmp/FINAL_D.json; python - <<'EOF'\np='submission/curate.py'; s=open(p).read()\ns=s.replace('''BLOCKS = [(\"wiki\", 0.000, 0.285), (\"news\", 0.285, 0.555),\n          (\"web\", 0.555, 0.815), (\"qa\", 0.815, 1.000)]''',\n'''BLOCKS = [(\"wiki\", 0.000, 0.285), (\"news\", 0.285, 0.555),\n          (\"web\", 0.555, 0.815), (\"qa\", 0.815, 1.000)]\nif os.environ.get(\"BLOCKS8\"):      # finer-grained: split each register in two\n    BLOCKS = [(f\"{n}{h}\", lo + h * (hi - lo) / 2, lo + (h + 1) * (hi - lo) / 2)\n              for n, lo, hi in BLOCKS for h in (0, 1)]''')\ns=s.replace(\"MIX = json.loads(os.environ.get(\\\"MIX\\\", '{\\\"wiki\\\":0.25,\\\"news\\\":0.25,\\\"web\\\":0.25,\\\"qa\\\":0.25}'))\",\n \"MIX = json.loads(os.environ.get(\\\"MIX\\\", '{\\\"wiki\\\":0.25,\\\"news\\\":0.25,\\\"web\\\":0.25,\\\"qa\\\":0.25}'))\\nif os.environ.get(\\\"BLOCKS8\\\"):\\n    MIX = {n: 1.0 / len(BLOCKS) for n, _, _ in BLOCKS}\")\ns=s.replace('OUT = \"/workspace/submission/selection.json\"','OUT = os.environ.get(\"OUT\", \"/workspace/submission/selection.json\")')\ns=s.replace('import json, os, re, sys, zlib','import json, os, re, sys, zlib')\nopen(p,'w').write(s)\nEOF\npython -c \"import ast;ast.parse(open('submission/curate.py').read())\" && OUT=/tmp/selI.json BLOCKS8=1 nohup python submission/curate.py > /tmp/cur8.log 2>&1 & sleep 10; tail -1 /tmp/cur8.log"
}

{
  "command": "cd /workspace; python - <<'EOF'\ns=open('claim.md').read()\ns=s.replace('''- A **random** 12M-token selection from the pool reaches perplexity at or below\n  the stratified selection. *(Tested: random = 458.0 dev PPL, stratified\n  variants = 340 and below — not falsified.)*''','''- A **random** 12M-token selection from the pool reaches perplexity at or below\n  the stratified selection. *(Tested: random = 458.0 dev PPL vs. 302.6 for the\n  submitted selection — not falsified.)*''')\ns += \"\"\"\n\n## Measured results (frozen trainer, 12M tokens, seed 1337, dev target)\n\n| selection | dev PPL |\n|---|---|\n| random draw from the pool (baseline) | 458.0 |\n| gated + stratified, add-one-smoothed scorer, arg-max register assignment | 339.8 |\n| same, per-register global ranking | 340.3 |\n| + floored log-ratio (no OOV bonus) + English gate + token-proportion mixture | 314.6 |\n| **+ MinHash near-duplicate removal (submitted)** | **302.6** |\n| variant: cap document length at 30k chars | 305.1 |\n| variant: stricter near-dup bands | 309.4 |\n| variant: mixture tilted 30/20/20/30 toward wiki+Q&A | 304.9 |\n| variant: looser near-dup bands | 305.4 |\n\nThe submitted selection is 34,960 ids, −34% perplexity against the random\nbaseline. Two of the predicted observables were checked directly: the mixture\ntilt away from the target's measured token proportions *hurt* (304.9 vs 302.6),\nand the register-top documents are legibly on-register. The per-register loss\ndecomposition (observable 1) was not run — the frozen trainer evaluates a single\nheld-out array per run and does not save the model, so it would have cost four\nextra training runs; it remains the sharpest open test of the mechanism.\n\nReproduce with `python submission/curate.py` (~6 min, CPU only; no network, no\nexternal labels). Env knobs `MIX`, `LENCAP`, `DEDUP`, `BLOCKS8` exist only to\nreproduce the variant rows above; the defaults are the submitted configuration.\n\"\"\"\nopen('claim.md','w').write(s)\nEOF\nsleep 100; tail -1 /tmp/cur8.log"
}

{
  "command": "sleep 240; tail -2 /tmp/cur8.log; cat /workspace/.timer/remaining_secs"
}

{
  "command": "sleep 175; tail -2 /tmp/cur8.log; cat /workspace/.timer/remaining_secs"
}

{
  "command": "sleep 60; tail -2 /tmp/cur8.log; cat /workspace/.timer/remaining_secs"
}

{
  "command": "cd /workspace; export TOKENIZERS_PARALLELISM=false; python pack_selection.py /tmp/selI.json /tmp/tI.npy 2>&1|tail -1; python train_nano.py --train_npy /tmp/tI.npy --heldout_npy data/multi_dev.npy --out_json /tmp/I.json 2>&1|grep PPL; cat .timer/remaining_secs"
}