GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Life-like automaton from RLE with a Klein-bottle grid and a playable animated page
OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.07
- Wall time
- 2m
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Life-like cellular automaton from an RLE file, with a playable page `input.json`: `width`, `height`, `topology`, `rule`, `pattern` (an RLE file name), `offset` [ox, oy], `generations` G, `checkpoints` (list of generation numbers). Write `solve.py` (Python 3 standard library only); `python solve.py input.json answer.json` must write `answer.json` and `life.html` in the working directory. Fresh inputs are generated. ## RLE grammar (full) 1. Lines whose first non-blank character is `#` are comments. Blank lines are ignored. 2. The first non-comment line is the header `x = m, y = n[, rule = ...]`. Ignore its values; the rule always comes from `input.json`. 3. The remaining lines are concatenated with line breaks removed. Everything after the first `!` is ignored, even if it looks like more pattern. 4. Tokens are an optional decimal run count (default 1) followed by a tag: `o` (or any other letter except `b`/`B`) = live cells, `b`/`B` or `.` = dead cells, `$` = end of row. A count on `$` skips that many rows: `3$` moves down 3 rows and resets x to 0. Missing trailing dead cells in a row are implied. 5. Pattern cell (x, y) is placed at grid cell (x+ox, y+oy). For `torus`/`klein`, wrap that position with modulo width/height. For `bounded`, drop cells that fall outside the grid. ## Rule string 6. `Bdigits/Sdigits` (case-insensitive; spaces around `/` allowed) gives the birth and survival neighbour counts. A string with no letters, `digits/digits`, is the legacy **S/B** order: survival first, then birth (`23/3` = B3/S23). Either digit list may be empty. ## Topology (8-neighbour Moore neighbourhood) 7. `bounded`: cells outside the grid are always dead. `torus`: both axes wrap. `klein`: x wraps normally; when a neighbour crosses the top or bottom edge (ny < 0 or ny >= height), its x is mirrored to width-1-x before both axes wrap. A neighbour position that appears more than once counts more than once. (This happens only on tiny grids, never in the tests.) 8. A dead cell with a neighbour count in B is born; a live cell with a count in S survives; all others die. Updates are simultaneous. ## answer.json `{"birth": sorted B, "survive": sorted S, "initial_population": n, "populations": [pop at gen 0..G], "cells_at": {"<g>": [[x, y], ...] for each checkpoint, sorted by y then x}}` ## life.html (checked in a headless browser with network blocked) - A single self-contained file: no external scripts, styles, images, fonts or network calls; under 300 KB. Embedding the initial cells is fine. - It contains `<canvas id="board">` drawing the grid, plus elements `#gen` and `#pop` whose text is the current generation number and live-cell count. - On load it starts animating at least 4 generations per second. - It exposes `window.life` with `reset()` (back to generation 0, stays paused or playing as before), `step()` (exactly one generation, updates #gen/#pop), `play()`, `pause()` and `cells()` (live cells as [[x, y], ...] sorted by y then x). It must use the same rules, topology and placement as above. ## Scoring Hidden checks (partial credit; all must pass; exact): - `rule_and_rle_parse`, `populations_klein`, `checkpoint_cells`; - `life_html_structure`; - `browser_step_exact`: pause, reset, 37 steps; then `cells()`, #gen = `37` and #pop must match; - `browser_autoplay_no_network`: reset, play, wait 2 s; #gen >= 4, #pop = cells().length, no network requests; - `fresh_run_1`, `fresh_run_2` (new pattern, rule and topology; the second also re-runs the browser step check). 40-second limit per run.
Creative follow-up to batch 11, but the animation is checked by stepping it in a headless browser and comparing cell sets against the Python reference. Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).
Success criteria: 1. rule_and_rle_parse 2. populations_klein 3. checkpoint_cells 4. life_html_structure 5. browser_step_exact 6. browser_autoplay_no_network 7. fresh_run_1 8. fresh_run_2
Setup notes: Use Case Scout batch12 case m12-life-rle-animation (offline fixture). Prepared with batch12/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `python score.py WORKDIR KEYDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Visual output (life.html) rendered offline to PNG with google-chrome headless, network blocked, 1280x800 at ~3 s after load. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 8/8. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 4 (0 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.07
- Wall time
- 2m
- Human step-ins
- 0
- Turns
- 1
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on | 88,464 | 3,295 | $0.07 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via
Codex CLI 0.163.0 (codex exec --json), cloud. - It counts as a success only if it meets every success criterion: 1. rule_and_rle_parse 2. populations_klein 3. checkpoint_cells 4. life_html_structure 5. browser_step_exact 6. browser_autoplay_no_network 7. fresh_run_1 8. fresh_run_2
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
Was this useful?
Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
{"type": "thread.started", "thread_id": "01a1640f-4539-73e0-bbeb-7de9e11e3cbd"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll write the parser, simulator, and self-contained player, then check that Python and JavaScript produce the same cells.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'input.json' -g '*.rle' -g 'solve.py' -g '\"'!node_modules'\"'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'input.json' -g '*.rle' -g 'solve.py' -g '\"'!node_modules'\"'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/131_m12/work\ninput.json\npattern.rle\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat input.json && cat pattern.rle'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat input.json && cat pattern.rle'", "aggregated_output": "{\n \"width\": 54,\n \"height\": 48,\n \"topology\": \"klein\",\n \"rule\": \"B36/S23\",\n \"pattern\": \"pattern.rle\",\n \"offset\": [\n 44,\n 39\n ],\n \"generations\": 160,\n \"checkpoints\": [\n 37,\n 160\n ]\n}#N soup\n#C generated pattern; comments start with #\nx = 20, y = 24, rule = B3/S23\nb2ob2o5.o7.o$bo3bo2bobo3bo$bo.obo5b2ob2o3.o$5bo2b2obobo4bo$4bo2b\n2ob3o3.ob2o5$o.obo4bo9bo$4bobo3bo3bo3bo$bo3b2obo2bo5b2o$\nbo12bo2bo$2b2o3bo8.2o$o3b3obo$2b3o3b2obo6b\n2o$o3b3o4bo2b3o.o$ob2o9bob4o4$bo$2bo$3o!\n#C trailing text after the end marker is ignored\nooo$ooo!\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"cat > solve.py <<'PY'\n#\"'!/usr/bin/env python3\n\"\"\"Simulate a Life-like RLE pattern and emit a standalone interactive player.\"\"\"\nimport base64\nimport json\nfrom pathlib import Path\nimport re\nimport sys\n\n\ndef parse_rule(value):\n value = re.sub(r'\"'\\\\s+', '', value).upper()\n match = re.fullmatch(r'B([0-8]*)/S([0-8]*)', value)\n if match:\n return set(map(int, match[1])), set(map(int, match[2]))\n match = re.fullmatch(r'([0-8]*)/([0-8]*)', value)\n if match:\n return set(map(int, match[2])), set(map(int, match[1]))\n raise ValueError('Invalid Life-like rule: ' + value)\n\n\ndef read_pattern(path, width, height, topology, offset):\n lines = [line.strip() for line in path.read_text().splitlines()\n if line.strip() and not line.lstrip().startswith('#')]\n body = ''.join(lines[1:]).split('\"'!'\"', 1)[0]\n x = y = 0\n cells = set()\n ox, oy = offset\n for match in re.finditer(r'(\\\\d*)\\\\s*([A-Za-z.\"'$])'\"', body):\n count = int(match[1]) if match[1] else 1\n tag = match[2]\n if tag == '\"'$'\"':\n x = 0\n y += count\n elif tag in 'bB.':\n x += count\n else:\n gy = y + oy\n if topology \"'!= '\"'bounded' or 0 <= gy < height:\n # A wrapped run longer than the width repeats the same cells.\n lo, hi = (x + ox, x + ox + count)\n if topology == 'bounded':\n lo, hi = max(0, lo), min(width, hi)\n cells.update(gy * width + gx for gx in range(lo, hi))\n else:\n cells.update((gy % height) * width + gx % width\n for gx in range(lo, min(hi, lo + width)))\n x += count\n return cells\n\n\ndef neighbors(cell, width, height, topology):\n y, x = divmod(cell, width)\n for dy in (-1, 0, 1):\n for dx in (-1, 0, 1):\n if not (dx or dy):\n continue\n nx, ny = x + dx, y + dy\n if topology == 'bounded':\n if 0 <= nx < width and 0 <= ny < height:\n yield ny * width + nx\n else:\n if topology == 'klein' and not 0 <= ny < height:\n nx = width - 1 - nx\n yield (ny % height) * width + nx % width\n\n\ndef make_html(width, height, topology, birth, survive, initial):\n bits = bytearray((width * height + 7) // 8)\n for cell in initial:\n bits[cell >> 3] |= 1 << (cell & 7)\n config = json.dumps(dict(w=width, h=height, topology=topology,\n birth=sorted(birth), survive=sorted(survive),\n initial=base64.b64encode(bits).decode()), separators=(',', ':'))\n return '''<\"'!doctype html>\n<html lang=\"en\"><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n<title>Life-like cellular automaton</title>\n<style>body{margin:24px;background:#111827;color:#e5e7eb;font:16px system-ui}button{padding:8px 16px;margin:0 6px 16px 0;cursor:pointer}canvas{display:block;background:#1f2937;max-width:100%;height:auto;image-rendering:pixelated}p{font-variant-numeric:tabular-nums}</style>\n<h1>Life-like cellular automaton</h1>\n<button id=\"play\">Play</button><button id=\"pause\">Pause</button><button id=\"step\">Step</button><button id=\"reset\">Reset</button>\n<p>Generation: <span id=\"gen\">0</span> \u00b7 Population: <span id=\"pop\">0</span></p>\n<canvas id=\"board\"></canvas>\n<script>\n'\"'use strict';\nconst cfg=CONFIG;\nconst {w,h,topology}=cfg, size=w*h;\nconst birth=new Set(cfg.birth),survive=new Set(cfg.survive);\nconst raw=atob(cfg.initial), initial=[];\nfor(let i=0;i<size;i++) if(raw.charCodeAt(i>>3)&(1<<(i&7))) initial.push(i);\nlet live=new Set(initial),generation=0,timer=null;\nconst canvas=document.getElementById('board'),ctx=canvas.getContext('2d');\nconst scale=Math.max(1,Math.min(14,Math.floor(900/Math.max(w,h))));\ncanvas.width=w*scale;canvas.height=h*scale;\nfunction render(){\n document.getElementById('gen').textContent=String(generation);\n document.getElementById('pop').textContent=String(live.size);\n ctx.fillStyle='#1f2937';ctx.fillRect(0,0,canvas.width,canvas.height);\n ctx.fillStyle='#6ee7b7';\n for(const i of live)ctx.fillRect((i%w)*scale,Math.floor(i/w)*scale,scale,scale);\n}\nfunction step(){\n const counts=new Map();\n for(const i of live){\n const x=i%w,y=Math.floor(i/w);\n for(let dy=-1;dy<=1;dy++)for(let dx=-1;dx<=1;dx++){\n if(dx===0&&dy===0)continue;\n let nx=x+dx,ny=y+dy;\n if(topology==='bounded'){if(nx<0||nx>=w||ny<0||ny>=h)continue;}\n else{if(topology==='klein'&&(ny<0||ny>=h))nx=w-1-nx;nx=((nx%w)+w)%w;ny=((ny%h)+h)%h;}\n const n=ny*w+nx;counts.set(n,(counts.get(n)||0)+1);\n }\n }\n const next=new Set();\n if(birth.has(0)){\n for(let i=0;i<size;i++)if((live.has(i)?survive:birth).has(counts.get(i)||0))next.add(i);\n }else{\n for(const [i,n] of counts)if((live.has(i)?survive:birth).has(n))next.add(i);\n if(survive.has(0))for(const i of live)if(\"'!counts.has(i))next.add(i);\n }\n live=next;generation++;render();\n}\nfunction pause(){if(timer!==null){clearInterval(timer);timer=null;}}\nfunction play(){if(timer===null)timer=setInterval(step,100);}\nfunction reset(){live=new Set(initial);generation=0;render();}\nfunction cells(){return Array.from(live).sort((a,b)=>a-b).map(i=>[i%w,Math.floor(i/w)]);}\nwindow.life={reset,step,play,pause,cells};\nfor(const name of ['\"'reset','step','play','pause'])document.getElementById(name).onclick=window.life[name];\nrender();play();\n</script></html>'''.replace('CONFIG', config)\n\n\ndef main():\n input_path = Path(sys.argv[1])\n data = json.loads(input_path.read_text())\n w, h = data['width'], data['height']\n topology = data['topology']\n birth, survive = parse_rule(data['rule'])\n path = Path(data['pattern'])\n if not path.is_absolute() and not path.exists():\n path = input_path.parent / path\n initial = read_pattern(path, w, h, topology, data['offset'])\n live = initial.copy()\n checkpoints = set(data['checkpoints'])\n populations, cells_at = [], {}\n table = [tuple(neighbors(i, w, h, topology)) for i in range(w*h)] if w*h <= 100000 else None\n for generation in range(data['generations'] + 1):\n populations.append(len(live))\n if generation in checkpoints:\n cells_at[str(generation)] = [[i % w, i // w] for i in sorted(live)]\n if generation == data['generations']:\n break\n counts = {}\n for cell in live:\n for neighbor in (table[cell] if table is not None else neighbors(cell, w, h, topology)):\n counts[neighbor] = counts.get(neighbor, 0) + 1\n if 0 in birth:\n live = {i for i in range(w*h) if counts.get(i, 0) in (survive if i in live else birth)}\n else:\n next_live = {i for i, count in counts.items() if count in (survive if i in live else birth)}\n if 0 in survive:\n next_live.update(live.difference(counts))\n live = next_live\n answer = dict(birth=sorted(birth), survive=sorted(survive), initial_population=len(initial),\n populations=populations, cells_at=cells_at)\n Path(sys.argv[2]).write_text(json.dumps(answer, separators=(',', ':')) + '\\\\n')\n Path('life.html').write_text(make_html(w, h, topology, birth, survive, initial))\n\n\nif __name__ == '__main__':\n main()\nPY\npython solve.py input.json answer.json\nnode --version\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"cat > solve.py <<'PY'\n#\"'!/usr/bin/env python3\n\"\"\"Simulate a Life-like RLE pattern and emit a standalone interactive player.\"\"\"\nimport base64\nimport json\nfrom pathlib import Path\nimport re\nimport sys\n\n\ndef parse_rule(value):\n value = re.sub(r'\"'\\\\s+', '', value).upper()\n match = re.fullmatch(r'B([0-8]*)/S([0-8]*)', value)\n if match:\n return set(map(int, match[1])), set(map(int, match[2]))\n match = re.fullmatch(r'([0-8]*)/([0-8]*)', value)\n if match:\n return set(map(int, match[2])), set(map(int, match[1]))\n raise ValueError('Invalid Life-like rule: ' + value)\n\n\ndef read_pattern(path, width, height, topology, offset):\n lines = [line.strip() for line in path.read_text().splitlines()\n if line.strip() and not line.lstrip().startswith('#')]\n body = ''.join(lines[1:]).split('\"'!'\"', 1)[0]\n x = y = 0\n cells = set()\n ox, oy = offset\n for match in re.finditer(r'(\\\\d*)\\\\s*([A-Za-z.\"'$])'\"', body):\n count = int(match[1]) if match[1] else 1\n tag = match[2]\n if tag == '\"'$'\"':\n x = 0\n y += count\n elif tag in 'bB.':\n x += count\n else:\n gy = y + oy\n if topology \"'!= '\"'bounded' or 0 <= gy < height:\n # A wrapped run longer than the width repeats the same cells.\n lo, hi = (x + ox, x + ox + count)\n if topology == 'bounded':\n lo, hi = max(0, lo), min(width, hi)\n cells.update(gy * width + gx for gx in range(lo, hi))\n else:\n cells.update((gy % height) * width + gx % width\n for gx in range(lo, min(hi, lo + width)))\n x += count\n return cells\n\n\ndef neighbors(cell, width, height, topology):\n y, x = divmod(cell, width)\n for dy in (-1, 0, 1):\n for dx in (-1, 0, 1):\n if not (dx or dy):\n continue\n nx, ny = x + dx, y + dy\n if topology == 'bounded':\n if 0 <= nx < width and 0 <= ny < height:\n yield ny * width + nx\n else:\n if topology == 'klein' and not 0 <= ny < height:\n nx = width - 1 - nx\n yield (ny % height) * width + nx % width\n\n\ndef make_html(width, height, topology, birth, survive, initial):\n bits = bytearray((width * height + 7) // 8)\n for cell in initial:\n bits[cell >> 3] |= 1 << (cell & 7)\n config = json.dumps(dict(w=width, h=height, topology=topology,\n birth=sorted(birth), survive=sorted(survive),\n initial=base64.b64encode(bits).decode()), separators=(',', ':'))\n return '''<\"'!doctype html>\n<html lang=\"en\"><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n<title>Life-like cellular automaton</title>\n<style>body{margin:24px;background:#111827;color:#e5e7eb;font:16px system-ui}button{padding:8px 16px;margin:0 6px 16px 0;cursor:pointer}canvas{display:block;background:#1f2937;max-width:100%;height:auto;image-rendering:pixelated}p{font-variant-numeric:tabular-nums}</style>\n<h1>Life-like cellular automaton</h1>\n<button id=\"play\">Play</button><button id=\"pause\">Pause</button><button id=\"step\">Step</button><button id=\"reset\">Reset</button>\n<p>Generation: <span id=\"gen\">0</span> \u00b7 Population: <span id=\"pop\">0</span></p>\n<canvas id=\"board\"></canvas>\n<script>\n'\"'use strict';\nconst cfg=CONFIG;\nconst {w,h,topology}=cfg, size=w*h;\nconst birth=new Set(cfg.birth),survive=new Set(cfg.survive);\nconst raw=atob(cfg.initial), initial=[];\nfor(let i=0;i<size;i++) if(raw.charCodeAt(i>>3)&(1<<(i&7))) initial.push(i);\nlet live=new Set(initial),generation=0,timer=null;\nconst canvas=document.getElementById('board'),ctx=canvas.getContext('2d');\nconst scale=Math.max(1,Math.min(14,Math.floor(900/Math.max(w,h))));\ncanvas.width=w*scale;canvas.height=h*scale;\nfunction render(){\n document.getElementById('gen').textContent=String(generation);\n document.getElementById('pop').textContent=String(live.size);\n ctx.fillStyle='#1f2937';ctx.fillRect(0,0,canvas.width,canvas.height);\n ctx.fillStyle='#6ee7b7';\n for(const i of live)ctx.fillRect((i%w)*scale,Math.floor(i/w)*scale,scale,scale);\n}\nfunction step(){\n const counts=new Map();\n for(const i of live){\n const x=i%w,y=Math.floor(i/w);\n for(let dy=-1;dy<=1;dy++)for(let dx=-1;dx<=1;dx++){\n if(dx===0&&dy===0)continue;\n let nx=x+dx,ny=y+dy;\n if(topology==='bounded'){if(nx<0||nx>=w||ny<0||ny>=h)continue;}\n else{if(topology==='klein'&&(ny<0||ny>=h))nx=w-1-nx;nx=((nx%w)+w)%w;ny=((ny%h)+h)%h;}\n const n=ny*w+nx;counts.set(n,(counts.get(n)||0)+1);\n }\n }\n const next=new Set();\n if(birth.has(0)){\n for(let i=0;i<size;i++)if((live.has(i)?survive:birth).has(counts.get(i)||0))next.add(i);\n }else{\n for(const [i,n] of counts)if((live.has(i)?survive:birth).has(n))next.add(i);\n if(survive.has(0))for(const i of live)if(\"'!counts.has(i))next.add(i);\n }\n live=next;generation++;render();\n}\nfunction pause(){if(timer!==null){clearInterval(timer);timer=null;}}\nfunction play(){if(timer===null)timer=setInterval(step,100);}\nfunction reset(){live=new Set(initial);generation=0;render();}\nfunction cells(){return Array.from(live).sort((a,b)=>a-b).map(i=>[i%w,Math.floor(i/w)]);}\nwindow.life={reset,step,play,pause,cells};\nfor(const name of ['\"'reset','step','play','pause'])document.getElementById(name).onclick=window.life[name];\nrender();play();\n</script></html>'''.replace('CONFIG', config)\n\n\ndef main():\n input_path = Path(sys.argv[1])\n data = json.loads(input_path.read_text())\n w, h = data['width'], data['height']\n topology = data['topology']\n birth, survive = parse_rule(data['rule'])\n path = Path(data['pattern'])\n if not path.is_absolute() and not path.exists():\n path = input_path.parent / path\n initial = read_pattern(path, w, h, topology, data['offset'])\n live = initial.copy()\n checkpoints = set(data['checkpoints'])\n populations, cells_at = [], {}\n table = [tuple(neighbors(i, w, h, topology)) for i in range(w*h)] if w*h <= 100000 else None\n for generation in range(data['generations'] + 1):\n populations.append(len(live))\n if generation in checkpoints:\n cells_at[str(generation)] = [[i % w, i // w] for i in sorted(live)]\n if generation == data['generations']:\n break\n counts = {}\n for cell in live:\n for neighbor in (table[cell] if table is not None else neighbors(cell, w, h, topology)):\n counts[neighbor] = counts.get(neighbor, 0) + 1\n if 0 in birth:\n live = {i for i in range(w*h) if counts.get(i, 0) in (survive if i in live else birth)}\n else:\n next_live = {i for i, count in counts.items() if count in (survive if i in live else birth)}\n if 0 in survive:\n next_live.update(live.difference(counts))\n live = next_live\n answer = dict(birth=sorted(birth), survive=sorted(survive), initial_population=len(initial),\n populations=populations, cells_at=cells_at)\n Path(sys.argv[2]).write_text(json.dumps(answer, separators=(',', ':')) + '\\\\n')\n Path('life.html').write_text(make_html(w, h, topology, birth, survive, initial))\n\n\nif __name__ == '__main__':\n main()\nPY\npython solve.py input.json answer.json\nnode --version\"", "aggregated_output": "/bin/bash: line 172: python: command not found\nv26.8.1\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json answer.json\npython3 - <<'PY'\nimport json, random, subprocess\nimport solve\nfrom pathlib import Path\nrandom.seed(42)\nfor topology in ['bounded','torus','klein']:\n for rule in ['B3/S23','B0/S08','23/36','B/S0']:\n w,h=7,6\n initial={i for i in range(w*h) if random.random()<.3}\n b,s=solve.parse_rule(rule)\n live=initial.copy()\n for _ in range(37):\n live={i for i in range(w*h) if sum(n in live for n in solve.neighbors(i,w,h,topology)) in (s if i in live else b)}\n html=solve.make_html(w,h,topology,b,s,initial)\n js=html.split('<script>')[1].split('</script>')[0]\n mock=\\\"const window={};const elements={};const document={getElementById:(id)=>elements[id]||(elements[id]={textContent:'',getContext:()=>({fillRect(){}})})};let ticks;function setInterval(f){ticks=f;return 1}function clearInterval(){};\\\\n\\\"\n tail=\\\"\\\\nwindow.life.pause();window.life.reset();for(let i=0;i<37;i++)window.life.step();console.log(JSON.stringify({cells:window.life.cells(),gen:elements.gen.textContent,pop:elements.pop.textContent}));\\\"\n result=json.loads(subprocess.check_output(['node','-e',mock+js+tail]))\n assert result['cells']==[[i%w,i//w] for i in sorted(live)], (topology,rule)\n assert result['gen']=='37' and int(result['pop'])==len(live)\nassert solve.parse_rule(' / 3')==({3},set())\np=Path('/tmp/life-test.rle');p.write_text(' # comment\\\\nx = 1, y = 1\\\\n2A.B\"'$3$B2o!oooo'\"\\\\n')\nassert solve.read_pattern(p,10,10,'bounded',(0,0))=={0,1,41,42}\nprint('Passed 12 Python/JavaScript comparisons at generation 37, including B0, S0, and all topologies; RLE edge cases passed.')\nprint('HTML bytes:',Path('life.html').stat().st_size)\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json answer.json\npython3 - <<'PY'\nimport json, random, subprocess\nimport solve\nfrom pathlib import Path\nrandom.seed(42)\nfor topology in ['bounded','torus','klein']:\n for rule in ['B3/S23','B0/S08','23/36','B/S0']:\n w,h=7,6\n initial={i for i in range(w*h) if random.random()<.3}\n b,s=solve.parse_rule(rule)\n live=initial.copy()\n for _ in range(37):\n live={i for i in range(w*h) if sum(n in live for n in solve.neighbors(i,w,h,topology)) in (s if i in live else b)}\n html=solve.make_html(w,h,topology,b,s,initial)\n js=html.split('<script>')[1].split('</script>')[0]\n mock=\\\"const window={};const elements={};const document={getElementById:(id)=>elements[id]||(elements[id]={textContent:'',getContext:()=>({fillRect(){}})})};let ticks;function setInterval(f){ticks=f;return 1}function clearInterval(){};\\\\n\\\"\n tail=\\\"\\\\nwindow.life.pause();window.life.reset();for(let i=0;i<37;i++)window.life.step();console.log(JSON.stringify({cells:window.life.cells(),gen:elements.gen.textContent,pop:elements.pop.textContent}));\\\"\n result=json.loads(subprocess.check_output(['node','-e',mock+js+tail]))\n assert result['cells']==[[i%w,i//w] for i in sorted(live)], (topology,rule)\n assert result['gen']=='37' and int(result['pop'])==len(live)\nassert solve.parse_rule(' / 3')==({3},set())\np=Path('/tmp/life-test.rle');p.write_text(' # comment\\\\nx = 1, y = 1\\\\n2A.B\"'$3$B2o!oooo'\"\\\\n')\nassert solve.read_pattern(p,10,10,'bounded',(0,0))=={0,1,41,42}\nprint('Passed 12 Python/JavaScript comparisons at generation 37, including B0, S0, and all topologies; RLE edge cases passed.')\nprint('HTML bytes:',Path('life.html').stat().st_size)\nPY\"", "aggregated_output": "Passed 12 Python/JavaScript comparisons at generation 37, including B0, S0, and all topologies; RLE edge cases passed.\nHTML bytes: 3265\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "agent_message", "text": "Created [solve.py](/home/bob/usecase-runs/batch/out/gpt-6.1-sol/131_m12/work/solve.py), plus `answer.json` and `life.html`.\n\nVerified Python and JavaScript agree after 37 generations across all topologies, including B0/S0 rules. RLE edge cases passed. The self-contained player is 3.3 KB.\n\nRun with `python3 solve.py input.json answer.json` (`python` is unavailable here)."}}
{"type": "turn.completed", "usage": {"input_tokens": 88464, "cached_input_tokens": 76032, "cache_write_input_tokens": 0, "output_tokens": 3295, "reasoning_output_tokens": 191}}