GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking off) on Go/no-go departure time from a gridded wind file
OGPT-6.1 Soldefault · thinking off · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.05
- Wall time
- 1m
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Go/no-go departure time from a gridded wind file `input.json` (synthetic; not a forecast) names `grid.json` and gives `from` and `to` [lat, lon], `passage_hours` D (integer), `latest_departure_h`, and `limits`. `grid.json` has `lats`, `lons`, `times_h` (ascending) and fields `u_kt`, `v_kt` (eastward/northward wind components, knots, the direction the air moves TOWARD) and `gust_kt`, each indexed `[time][lat][lon]`. Write `solve.py` (Python 3 standard library only); `python solve.py input.json answer.json` writes `answer.json` and `window.svg`. Fresh inputs are used too. ## Rules 1. Interpolation of each field: bilinear in (lat, lon) at the two bracketing grid times, then linear in time. Outside a grid axis, clamp to its edge. 2. Course = atan2((lon_to - lon_from) * cos(mean lat), lat_to - lat_from) in degrees mod 360. 3. For every integer departure hour t0 = 0 .. latest_departure_h: sample k = 0..D at time t0 + k and position from + (to - from) * k / D (straight in lat/lon). At each sample: wind speed = hypot(u, v); wind FROM direction = atan2(-u, -v) mod 360; off = smallest angle between it and the course. The sample fails, checked in this order, with reason `wind@<t>` if speed > max_wind_kt, `gust@<t>` if gust > max_gust_kt, `headwind@<t>` if off < min_wind_angle_deg and speed > headwind_max_kt. Stop at the first failing sample; that departure is not ok and its reason is recorded (t as an integer). Otherwise ok with reason null. 4. `earliest_ok_h`: first ok departure or null. `longest_ok_run`: [first, last] departure hours of the longest run of consecutive ok departures (earliest wins ties), or null. ## Visual output: window.svg Static, self-contained SVG (root `<svg>`, no scripts, images, links or external assets; renders headless) with an element `id="timeline"` (one mark per departure hour) and an element `id="best-departure"`. The drawing itself is not graded. ## answer.json `{"course_deg", "departures": [{"depart_h", "ok", "reason"}, ...], "earliest_ok_h", "longest_ok_run"}` ## Scoring Hidden checks (partial credit; all must pass): `course` (within 0.11), `departure_flags` (ok flags), `failure_reasons` (exact), `best_departure`, `window_svg_static` (window.svg exists, follows the static rules, has the ids above), `fresh_run_1`, `fresh_run_2`. 60-second limit per run.
Space-time interpolation of vector components (not speed and direction), the toward/from convention, ordered failure reasons per sample along a moving position, and run-length selection with ties. 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).
Benchmark code for comparing AI models, not navigation or safety software.
Success criteria: 1. course 2. departure_flags 3. failure_reasons 4. best_departure 5. window_svg_static 6. fresh_run_1 7. fresh_run_2
Setup notes: Use Case Scout batch10 case k10-wind-grid-departure (offline fixture). Prepared with batch10/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 (window.svg) 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: 7/7. 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 (1 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.05
- Wall time
- 1m
- 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 off | 90,255 | 2,305 | $0.05 |
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 off) via
Codex CLI 0.163.0 (codex exec --json), cloud. - It counts as a success only if it meets every success criterion: 1. course 2. departure_flags 3. failure_reasons 4. best_departure 5. window_svg_static 6. fresh_run_1 7. 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.
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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": "01a16400-7778-7083-83a0-99c122ea617f"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll check the input files, implement the interpolation and departure checks, and verify the JSON and SVG outputs."}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g '\"'!'\"\\\\.git' -g 'AGENTS.md' -g '*.json' -g '*.py'\"", "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 '\"'!'\"\\\\.git' -g 'AGENTS.md' -g '*.json' -g '*.py'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/117_k10/work\ninput.json\ngrid.json\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat input.json && head -c 2500 grid.json'", "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 && head -c 2500 grid.json'", "aggregated_output": "{\n \"grid\": \"grid.json\",\n \"from\": [\n 30.975,\n -42.104\n ],\n \"to\": [\n 31.979,\n -41.117\n ],\n \"passage_hours\": 7,\n \"latest_departure_h\": 30,\n \"limits\": {\n \"max_wind_kt\": 20,\n \"max_gust_kt\": 26,\n \"min_wind_angle_deg\": 40,\n \"headwind_max_kt\": 12\n }\n}{\"lats\": [30.9, 31.4, 31.9], \"lons\": [-42.2, -41.7, -41.2], \"times_h\": [0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48], \"u_kt\": [[[4.1, 4.6, 1.7], [6.1, 1.6, 4.1], [2.8, 2.2, 1.5]], [[0.5, 1.1, 0.1], [3.0, 1.2, -0.8], [0.1, 0.9, 1.2]], [[9.0, 3.9, 6.5], [5.2, 6.2, 4.0], [7.1, 5.6, 5.3]], [[8.9, 9.0, 10.1], [9.0, 11.9, 8.0], [7.9, 8.9, 10.7]], [[17.6, 18.4, 20.4], [17.9, 16.7, 18.2], [17.3, 20.0, 17.6]], [[13.8, 13.2, 15.2], [15.6, 13.5, 15.8], [13.4, 11.2, 14.3]], [[10.9, 12.2, 11.4], [8.0, 7.5, 8.7], [11.9, 10.9, 8.8]], [[11.8, 8.7, 11.6], [8.8, 9.3, 7.2], [9.1, 10.4, 9.3]], [[8.2, 10.0, 8.9], [7.4, 9.6, 9.0], [9.2, 10.4, 6.7]], [[10.0, 10.4, 7.1], [10.8, 10.2, 10.6], [7.1, 9.4, 7.5]], [[7.8, 7.8, 9.2], [6.8, 7.0, 8.8], [6.4, 7.1, 4.1]], [[8.5, 7.0, 8.4], [11.1, 10.9, 8.2], [5.8, 9.1, 10.1]], [[9.9, 13.7, 9.2], [10.6, 10.9, 11.9], [11.0, 10.9, 9.3]], [[4.9, 5.6, 5.1], [4.8, 5.4, 6.6], [4.3, 4.2, 6.7]], [[8.7, 9.6, 10.7], [10.1, 12.7, 10.7], [10.2, 9.5, 9.7]], [[8.8, 10.2, 10.0], [11.5, 11.3, 9.6], [10.5, 12.5, 7.2]], [[9.4, 12.4, 9.3], [7.2, 9.8, 11.5], [10.5, 8.8, 10.1]]], \"v_kt\": [[[9.7, 10.7, 9.0], [9.2, 10.2, 11.0], [11.1, 7.0, 11.0]], [[9.6, 10.6, 10.6], [12.4, 8.2, 11.3], [10.7, 12.1, 11.6]], [[18.5, 17.2, 17.0], [20.0, 18.0, 20.7], [19.3, 17.9, 20.1]], [[20.6, 19.9, 21.9], [19.9, 21.6, 19.9], [22.5, 22.3, 20.4]], [[-8.9, -4.8, -9.5], [-6.7, -6.6, -7.7], [-9.9, -8.3, -5.9]], [[-6.1, -6.5, -4.5], [-3.0, -3.8, -5.6], [-5.9, -4.7, -4.4]], [[-4.1, -3.0, -2.0], [0.4, -0.6, 0.3], [-2.1, -2.2, -0.5]], [[-3.7, -0.9, -2.3], [-1.8, -0.7, -1.5], [-3.8, -2.0, 0.2]], [[-4.0, -2.1, -6.7], [-2.0, -3.7, -3.4], [-5.2, -2.7, -2.3]], [[0.5, -1.5, -1.2], [-2.4, -3.7, -0.6], [-2.8, -4.8, -2.2]], [[-1.3, -3.1, -1.0], [-3.0, -0.3, -2.3], [-1.9, -0.5, -2.5]], [[-1.8, -0.5, -3.2], [-3.3, -1.2, -3.8], [-1.1, -1.6, -6.4]], [[-4.7, -4.4, -5.5], [-2.3, -4.6, -3.0], [-3.4, -3.2, -7.5]], [[-7.1, -2.0, -6.9], [-2.3, -5.3, -7.6], [-4.5, -5.6, -4.8]], [[-6.0, -4.7, -4.6], [-5.8, -9.4, -5.4], [-6.0, -4.2, -9.1]], [[-7.6, -7.2, -6.4], [-6.3, -3.9, -6.7], [-9.5, -4.3, -2.8]], [[0.0, -0.9, -0.4], [1.4, 0.4, -1.5], [-1.6, -2.7, -1.0]]], \"gust_kt\": [[[14.8, 13.4, 14.6], [15.2, 13.7, 14.9], [14.4, 15.0, 14.1]], [[14.5, 14.0, 12.6], [12.3, 14.3, 13.9], [13.6, 13.0, 14.1]], [[26.7, 26.2, 27.6], [26.4, 28.2, 25.6], [25.7, 25.4, 24.5]], [[34.1, 28.6, 29.9], [31.8, 28.6, 33.1], [28.8, 32.1, 29.8]], [[26.1, 25.0, 27.7], [25.2, 28.5, 28.6], [28.4, 24.1, 26.1]], [[21.3, 21.2, 18.7", "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\"\"\"Evaluate integer departure windows for a synthetic gridded wind file.\"\"\"\nimport bisect\nimport json\nimport math\nfrom pathlib import Path\nimport sys\n\n\ndef bracket(axis, value):\n \"\"\"Return clamped lower/upper indices and interpolation fraction.\"\"\"\n if value <= axis[0]:\n return 0, 0, 0.0\n if value >= axis[-1]:\n return len(axis) - 1, len(axis) - 1, 0.0\n hi = bisect.bisect_right(axis, value)\n lo = hi - 1\n return lo, hi, (value - axis[lo]) / (axis[hi] - axis[lo])\n\n\ndef lerp(a, b, fraction):\n return a + (b - a) * fraction\n\n\ndef interpolate(field, time_bracket, lat_bracket, lon_bracket):\n t0, t1, ft = time_bracket\n y0, y1, fy = lat_bracket\n x0, x1, fx = lon_bracket\n\n def spatial(t):\n return lerp(lerp(field[t][y0][x0], field[t][y0][x1], fx),\n lerp(field[t][y1][x0], field[t][y1][x1], fx), fy)\n\n return lerp(spatial(t0), spatial(t1), ft)\n\n\ndef solve(config, grid):\n start, end = config['\"'from'], config['to']\n dlat, dlon = end[0] - start[0], end[1] - start[1]\n mean_lat = math.radians((start[0] + end[0]) / 2)\n course = math.degrees(math.atan2(dlon * math.cos(mean_lat), dlat)) % 360\n duration = config['passage_hours']\n limits = config['limits']\n positions = []\n for k in range(duration + 1):\n fraction = k / duration if duration else 0.0\n positions.append((bracket(grid['lats'], start[0] + dlat * fraction),\n bracket(grid['lons'], start[1] + dlon * fraction)))\n departures = []\n earliest = None\n best = None\n run_start = None\n for departure in range(config['latest_departure_h'] + 1):\n reason = None\n for k, (lat_bracket, lon_bracket) in enumerate(positions):\n time = departure + k\n tb = bracket(grid['times_h'], time)\n u, v, gust = (interpolate(grid[name], tb, lat_bracket, lon_bracket)\n for name in ('u_kt', 'v_kt', 'gust_kt'))\n speed = math.hypot(u, v)\n wind_from = math.degrees(math.atan2(-u, -v)) % 360\n off = abs((wind_from - course + 180) % 360 - 180)\n if speed > limits['max_wind_kt']:\n reason = f'wind@{time}'\n elif gust > limits['max_gust_kt']:\n reason = f'gust@{time}'\n elif off < limits['min_wind_angle_deg'] and speed > limits['headwind_max_kt']:\n reason = f'headwind@{time}'\n if reason is not None:\n break\n ok = reason is None\n departures.append({'depart_h': departure, 'ok': ok, 'reason': reason})\n if ok:\n if earliest is None:\n earliest = departure\n if run_start is None:\n run_start = departure\n if best is None or departure - run_start > best[1] - best[0]:\n best = [run_start, departure]\n else:\n run_start = None\n return {'course_deg': course, 'departures': departures,\n 'earliest_ok_h': earliest, 'longest_ok_run': best}\n\n\ndef write_svg(answer, path):\n departures = answer['departures']\n width = max(640, 40 + 20 * len(departures))\n spacing = (width - 40) / max(1, len(departures))\n parts = [f'<svg xmlns=\\\"http://www.w3.org/2000/svg\\\" width=\\\"{width}\\\" height=\\\"150\\\" viewBox=\\\"0 0 {width} 150\\\">',\n '<rect width=\\\"100%\\\" height=\\\"100%\\\" fill=\\\"white\\\"/>',\n '<text x=\\\"20\\\" y=\\\"25\\\" font-family=\\\"sans-serif\\\" font-size=\\\"16\\\">Synthetic wind departure window</text>',\n '<g id=\\\"timeline\\\">']\n for i, row in enumerate(departures):\n x = 20 + i * spacing\n color = '#228650' if row['ok'] else '#bd4545'\n parts.append(f'<rect x=\\\"{x:.3f}\\\" y=\\\"50\\\" width=\\\"{spacing * .8:.3f}\\\" height=\\\"30\\\" fill=\\\"{color}\\\"><title>Departure {row[\\\"depart_h\\\"]}: {row[\\\"reason\\\"] or \\\"ok\\\"}</title></rect>')\n parts.append('</g>')\n earliest = answer['earliest_ok_h']\n label = 'No acceptable departure' if earliest is None else f'Earliest acceptable departure: hour {earliest}'\n parts.append(f'<text id=\\\"best-departure\\\" x=\\\"20\\\" y=\\\"115\\\" font-family=\\\"sans-serif\\\" font-size=\\\"14\\\">{label}</text>')\n parts.append('</svg>')\n path.write_text('\\\\n'.join(parts) + '\\\\n', encoding='utf-8')\n\n\ndef main():\n if len(sys.argv) \"'!= 3:\n raise SystemExit('\"'Usage: python solve.py input.json answer.json')\n input_path = Path(sys.argv[1])\n config = json.loads(input_path.read_text(encoding='utf-8'))\n grid_path = input_path.parent / config['grid']\n grid = json.loads(grid_path.read_text(encoding='utf-8'))\n answer = solve(config, grid)\n output_path = Path(sys.argv[2])\n output_path.write_text(json.dumps(answer, indent=2) + '\\\\n', encoding='utf-8')\n write_svg(answer, output_path.parent / 'window.svg')\n\n\nif __name__ == '__main__':\n main()\nPY\npython solve.py input.json answer.json\"", "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\"\"\"Evaluate integer departure windows for a synthetic gridded wind file.\"\"\"\nimport bisect\nimport json\nimport math\nfrom pathlib import Path\nimport sys\n\n\ndef bracket(axis, value):\n \"\"\"Return clamped lower/upper indices and interpolation fraction.\"\"\"\n if value <= axis[0]:\n return 0, 0, 0.0\n if value >= axis[-1]:\n return len(axis) - 1, len(axis) - 1, 0.0\n hi = bisect.bisect_right(axis, value)\n lo = hi - 1\n return lo, hi, (value - axis[lo]) / (axis[hi] - axis[lo])\n\n\ndef lerp(a, b, fraction):\n return a + (b - a) * fraction\n\n\ndef interpolate(field, time_bracket, lat_bracket, lon_bracket):\n t0, t1, ft = time_bracket\n y0, y1, fy = lat_bracket\n x0, x1, fx = lon_bracket\n\n def spatial(t):\n return lerp(lerp(field[t][y0][x0], field[t][y0][x1], fx),\n lerp(field[t][y1][x0], field[t][y1][x1], fx), fy)\n\n return lerp(spatial(t0), spatial(t1), ft)\n\n\ndef solve(config, grid):\n start, end = config['\"'from'], config['to']\n dlat, dlon = end[0] - start[0], end[1] - start[1]\n mean_lat = math.radians((start[0] + end[0]) / 2)\n course = math.degrees(math.atan2(dlon * math.cos(mean_lat), dlat)) % 360\n duration = config['passage_hours']\n limits = config['limits']\n positions = []\n for k in range(duration + 1):\n fraction = k / duration if duration else 0.0\n positions.append((bracket(grid['lats'], start[0] + dlat * fraction),\n bracket(grid['lons'], start[1] + dlon * fraction)))\n departures = []\n earliest = None\n best = None\n run_start = None\n for departure in range(config['latest_departure_h'] + 1):\n reason = None\n for k, (lat_bracket, lon_bracket) in enumerate(positions):\n time = departure + k\n tb = bracket(grid['times_h'], time)\n u, v, gust = (interpolate(grid[name], tb, lat_bracket, lon_bracket)\n for name in ('u_kt', 'v_kt', 'gust_kt'))\n speed = math.hypot(u, v)\n wind_from = math.degrees(math.atan2(-u, -v)) % 360\n off = abs((wind_from - course + 180) % 360 - 180)\n if speed > limits['max_wind_kt']:\n reason = f'wind@{time}'\n elif gust > limits['max_gust_kt']:\n reason = f'gust@{time}'\n elif off < limits['min_wind_angle_deg'] and speed > limits['headwind_max_kt']:\n reason = f'headwind@{time}'\n if reason is not None:\n break\n ok = reason is None\n departures.append({'depart_h': departure, 'ok': ok, 'reason': reason})\n if ok:\n if earliest is None:\n earliest = departure\n if run_start is None:\n run_start = departure\n if best is None or departure - run_start > best[1] - best[0]:\n best = [run_start, departure]\n else:\n run_start = None\n return {'course_deg': course, 'departures': departures,\n 'earliest_ok_h': earliest, 'longest_ok_run': best}\n\n\ndef write_svg(answer, path):\n departures = answer['departures']\n width = max(640, 40 + 20 * len(departures))\n spacing = (width - 40) / max(1, len(departures))\n parts = [f'<svg xmlns=\\\"http://www.w3.org/2000/svg\\\" width=\\\"{width}\\\" height=\\\"150\\\" viewBox=\\\"0 0 {width} 150\\\">',\n '<rect width=\\\"100%\\\" height=\\\"100%\\\" fill=\\\"white\\\"/>',\n '<text x=\\\"20\\\" y=\\\"25\\\" font-family=\\\"sans-serif\\\" font-size=\\\"16\\\">Synthetic wind departure window</text>',\n '<g id=\\\"timeline\\\">']\n for i, row in enumerate(departures):\n x = 20 + i * spacing\n color = '#228650' if row['ok'] else '#bd4545'\n parts.append(f'<rect x=\\\"{x:.3f}\\\" y=\\\"50\\\" width=\\\"{spacing * .8:.3f}\\\" height=\\\"30\\\" fill=\\\"{color}\\\"><title>Departure {row[\\\"depart_h\\\"]}: {row[\\\"reason\\\"] or \\\"ok\\\"}</title></rect>')\n parts.append('</g>')\n earliest = answer['earliest_ok_h']\n label = 'No acceptable departure' if earliest is None else f'Earliest acceptable departure: hour {earliest}'\n parts.append(f'<text id=\\\"best-departure\\\" x=\\\"20\\\" y=\\\"115\\\" font-family=\\\"sans-serif\\\" font-size=\\\"14\\\">{label}</text>')\n parts.append('</svg>')\n path.write_text('\\\\n'.join(parts) + '\\\\n', encoding='utf-8')\n\n\ndef main():\n if len(sys.argv) \"'!= 3:\n raise SystemExit('\"'Usage: python solve.py input.json answer.json')\n input_path = Path(sys.argv[1])\n config = json.loads(input_path.read_text(encoding='utf-8'))\n grid_path = input_path.parent / config['grid']\n grid = json.loads(grid_path.read_text(encoding='utf-8'))\n answer = solve(config, grid)\n output_path = Path(sys.argv[2])\n output_path.write_text(json.dumps(answer, indent=2) + '\\\\n', encoding='utf-8')\n write_svg(answer, output_path.parent / 'window.svg')\n\n\nif __name__ == '__main__':\n main()\nPY\npython solve.py input.json answer.json\"", "aggregated_output": "/bin/bash: line 123: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json answer.json && python3 - <<'PY'\nimport json\nimport xml.etree.ElementTree as ET\nfrom solve import bracket, interpolate, solve\nassert bracket([0, 2], -1) == (0, 0, 0)\nf = [[[0, 2], [4, 6]], [[8, 10], [12, 14]]]\nassert interpolate(f, (0,1,.5), (0,1,.5), (0,1,.5)) == 7\ncfg = {'from':[0,0], 'to':[1,0], 'passage_hours':1, 'latest_departure_h':2, 'limits':{'max_wind_kt':10,'max_gust_kt':20,'min_wind_angle_deg':30,'headwind_max_kt':5}}\ngrid = {'lats':[0], 'lons':[0], 'times_h':[0,1,2,3], 'u_kt':[[[0]]]*4,'v_kt':[[[-6]],[[-6]],[[0]],[[0]]], 'gust_kt':[[[0]]]*4}\na = solve(cfg,grid)\nassert [r['reason'] for r in a['departures']] == ['headwind@0','headwind@1',None]\nassert a['earliest_ok_h'] == 2 and a['longest_ok_run'] == [2,2]\ngrid['u_kt'] = [[[11]]]*4\ngrid['gust_kt'] = [[[21]]]*4\nassert solve(cfg,grid)['departures'][0]['reason'] == 'wind@0'\ngrid['u_kt'] = [[[0]]]*4\nassert solve(cfg,grid)['departures'][0]['reason'] == 'gust@0'\nroot = ET.parse('window.svg').getroot()\nassert root.tag == '{http://www.w3.org/2000/svg}svg'\nassert {'timeline','best-departure'} <= {e.get('id') for e in root.iter()}\na=json.load(open('answer.json'))\nprint('Checks passed; course:',a['course_deg'],'earliest:',a['earliest_ok_h'],'longest:',a['longest_ok_run'])\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 && python3 - <<'PY'\nimport json\nimport xml.etree.ElementTree as ET\nfrom solve import bracket, interpolate, solve\nassert bracket([0, 2], -1) == (0, 0, 0)\nf = [[[0, 2], [4, 6]], [[8, 10], [12, 14]]]\nassert interpolate(f, (0,1,.5), (0,1,.5), (0,1,.5)) == 7\ncfg = {'from':[0,0], 'to':[1,0], 'passage_hours':1, 'latest_departure_h':2, 'limits':{'max_wind_kt':10,'max_gust_kt':20,'min_wind_angle_deg':30,'headwind_max_kt':5}}\ngrid = {'lats':[0], 'lons':[0], 'times_h':[0,1,2,3], 'u_kt':[[[0]]]*4,'v_kt':[[[-6]],[[-6]],[[0]],[[0]]], 'gust_kt':[[[0]]]*4}\na = solve(cfg,grid)\nassert [r['reason'] for r in a['departures']] == ['headwind@0','headwind@1',None]\nassert a['earliest_ok_h'] == 2 and a['longest_ok_run'] == [2,2]\ngrid['u_kt'] = [[[11]]]*4\ngrid['gust_kt'] = [[[21]]]*4\nassert solve(cfg,grid)['departures'][0]['reason'] == 'wind@0'\ngrid['u_kt'] = [[[0]]]*4\nassert solve(cfg,grid)['departures'][0]['reason'] == 'gust@0'\nroot = ET.parse('window.svg').getroot()\nassert root.tag == '{http://www.w3.org/2000/svg}svg'\nassert {'timeline','best-departure'} <= {e.get('id') for e in root.iter()}\na=json.load(open('answer.json'))\nprint('Checks passed; course:',a['course_deg'],'earliest:',a['earliest_ok_h'],'longest:',a['longest_ok_run'])\nPY\"", "aggregated_output": "Checks passed; course: 39.976776556045984 earliest: 12 longest: [12, 30]\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/117_k10/work/solve.py), plus `answer.json` and `window.svg`.\n\nVerified interpolation, failure precedence, headwind checks, and SVG structure. Supplied input yields earliest departure **12**, longest run **[12, 30]**.\n\nRun with `python3 solve.py input.json answer.json`; this environment has no `python` alias."}}
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