GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Fix an async job pool (retries, deadlock, error capture) with hidden tests
OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.08
- Wall time
- 1m
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Task: fix the async job pool The repo in your working directory (`jobpool/`) is a small async job pool. Users report: failed jobs crash the whole run, the pool sometimes hangs forever after a few failures, retry counts look off, and the pool breaks when reused. Read README.md for the intended behaviour, fix the library (you may refactor), and add tests for every bug you fix. Keep the public API (`JobPool(concurrency, retries)`, `run()`, `stats`). Don't add dependencies. No network. Run the tests with `python -m pytest -q`.
Visible tests fail for one obvious bug; hidden tests check retry semantics (off-by-one vs README), semaphore leak on failure (deadlock), and not swallowing CancelledError. Weak models fix the visible symptom only; strong ones read the README contract and add tests. 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. Hidden test file is copied into tests/ and the full suite (visible + hidden + agent tests) runs with pytest; exit code must be 0 (120 s timeout). 2. Hidden tests check: retries means EXTRA attempts (retries=2 -> up to 3 attempts) with exact stats {ok, failed, attempts}; no deadlock/hang after several failing jobs; concurrency never exceeds the configured bound (and reaches it); the pool can be reused across separate asyncio.run() calls; asyncio.CancelledError propagates instead of being swallowed as a failure. 3. Visible tests must still pass: results returned in job order; failed jobs appear as exception instances and run() never raises. 4. The repo's tests/ must contain at least 4 test functions in total (i.e. the agent added at least 2).
Setup notes: Use Case Scout batch3 case c01-async-pool-bugs (offline fixture). Prepared with batch3/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: `bash score.sh WORKDIR`. 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. Scorer note: the batch3 scoring venv is gone from the box, so this case's pytest-based scorer ran with /workspace/venv-sb (pytest 9.1.1); other cases used system python3. 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: pass. 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 9 (5 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.08
- 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 on | 234,841 | 2,492 | $0.08 |
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. Hidden test file is copied into tests/ and the full suite (visible + hidden + agent tests) runs with pytest; exit code must be 0 (120 s timeout). 2. Hidden tests check: retries means EXTRA attempts (retries=2 -> up to 3 attempts) with exact stats {ok, failed, attempts}; no deadlock/hang after several failing jobs; concurrency never exceeds the configured bound (and reaches it); the pool can be reused across separate asyncio.run() calls; asyncio.CancelledError propagates instead of being swallowed as a failure. 3. Visible tests must still pass: results returned in job order; failed jobs appear as exception instances and run() never raises. 4. The repo's tests/ must contain at least 4 test functions in total (i.e. the agent added at least 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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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": "01a16416-a8df-7753-a91d-96a444b930ed"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll read the README and implementation, fix the pool, and add regression tests for each bug I find.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'README.md' -g '*.py' -g 'pyproject.toml' -g 'pytest.ini'\"", "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 'README.md' -g '*.py' -g 'pyproject.toml' -g 'pytest.ini'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/137_c01/work\ntests/test_basic.py\nREADME.md\njobpool/__init__.py\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat README.md jobpool/__init__.py tests/test_basic.py'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat README.md jobpool/__init__.py tests/test_basic.py'", "aggregated_output": "# jobpool\n`JobPool(concurrency, retries)` runs async jobs with bounded concurrency. `retries` = number of EXTRA attempts after the first (retries=2 means up to 3 attempts). `run()` never raises; failed jobs appear as exception instances in the result list. `stats` counts ok/failed jobs and total attempts.\nRun tests: `python -m pytest -q`\n\"\"\"Tiny async job pool: run coroutine jobs with bounded concurrency and retries.\"\"\"\nimport asyncio\n\n\nclass JobPool:\n def __init__(self, concurrency=4, retries=2):\n self.concurrency = concurrency\n self.retries = retries\n self._sem = asyncio.Semaphore(concurrency)\n self.stats = {\"ok\": 0, \"failed\": 0, \"attempts\": 0}\n\n async def _run_one(self, job):\n await self._sem.acquire()\n for attempt in range(self.retries):\n self.stats[\"attempts\"] += 1\n try:\n result = await job()\n self.stats[\"ok\"] += 1\n self._sem.release()\n return result\n except Exception as e:\n last = e\n self.stats[\"failed\"] += 1\n raise last\n\n async def run(self, jobs):\n \"\"\"Run all jobs. Returns a list aligned with `jobs`: the result, or the\n exception instance for jobs that failed after all retries. Never raises.\"\"\"\n tasks = [asyncio.create_task(self._run_one(j)) for j in jobs]\n done = await asyncio.gather(*tasks)\n return done\nimport asyncio\nfrom jobpool import JobPool\n\ndef test_all_succeed_in_order():\n async def mk(i):\n await asyncio.sleep(0.01 * (5 - i))\n return i\n pool = JobPool(concurrency=2)\n out = asyncio.run(pool.run([lambda i=i: mk(i) for i in range(5)]))\n assert out == [0, 1, 2, 3, 4]\n\ndef test_failing_job_does_not_raise():\n async def bad():\n raise ValueError(\"boom\")\n async def good():\n return \"ok\"\n pool = JobPool(concurrency=2, retries=1)\n out = asyncio.run(pool.run([good, bad, good]))\n assert out[0] == \"ok\" and out[2] == \"ok\" and isinstance(out[1], ValueError)\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "agent_message", "text": "The retry loop skips the first attempt when counting retries, failed jobs leak semaphore permits, and `gather()` propagates their exceptions. The semaphore can also stay tied to an old event loop, breaking reuse. I\u2019ll give each run its own semaphore and preserve cumulative stats across runs.\n"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"cat > jobpool/__init__.py <<'EOF'\n\\\"\\\"\\\"Tiny async job pool: run coroutine jobs with bounded concurrency and retries.\\\"\\\"\\\"\nimport asyncio\n\n\nclass JobPool:\n def __init__(self, concurrency=4, retries=2):\n if not isinstance(concurrency, int) or concurrency < 1:\n raise ValueError(\\\"concurrency must be a positive integer\\\")\n if not isinstance(retries, int) or retries < 0:\n raise ValueError(\\\"retries must be a nonnegative integer\\\")\n self.concurrency = concurrency\n self.retries = retries\n self.stats = {\\\"ok\\\": 0, \\\"failed\\\": 0, \\\"attempts\\\": 0}\n\n async def _run_one(self, job, semaphore):\n async with semaphore:\n for attempt in range(self.retries + 1):\n self.stats[\\\"attempts\\\"] += 1\n try:\n result = await job()\n except Exception as error:\n if attempt == self.retries:\n self.stats[\\\"failed\\\"] += 1\n return error\n else:\n self.stats[\\\"ok\\\"] += 1\n return result\n\n async def run(self, jobs):\n \\\"\\\"\\\"Return results or job exceptions in input order.\n\n Each run has bounded concurrency and may use a new event loop. Stats\n accumulate across runs. Cancellation of the run still propagates.\n \\\"\\\"\\\"\n semaphore = asyncio.Semaphore(self.concurrency)\n return await asyncio.gather(\n *(self._run_one(job, semaphore) for job in jobs)\n )\nEOF\ncat > tests/test_regressions.py <<'EOF'\nimport asyncio\n\nimport pytest\n\nfrom jobpool import JobPool\n\n\[REDACTED:email](\\\"retries\\\", [0, 1, 2, 4])\ndef test_exhausted_retries_return_last_exception_and_count_attempts(retries):\n errors = []\n\n async def bad():\n error = ValueError(str(len(errors)))\n errors.append(error)\n raise error\n\n pool = JobPool(concurrency=1, retries=retries)\n assert asyncio.run(pool.run([bad])) == [errors[-1]]\n assert len(errors) == retries + 1\n assert pool.stats == {\\\"ok\\\": 0, \\\"failed\\\": 1, \\\"attempts\\\": retries + 1}\n\n\ndef test_success_on_final_attempt_counts_one_successful_job():\n attempts = 0\n\n async def flaky():\n nonlocal attempts\n attempts += 1\n if attempts < 3:\n raise RuntimeError(\\\"try again\\\")\n return \\\"recovered\\\"\n\n pool = JobPool(concurrency=1, retries=2)\n assert asyncio.run(pool.run([flaky])) == [\\\"recovered\\\"]\n assert pool.stats == {\\\"ok\\\": 1, \\\"failed\\\": 0, \\\"attempts\\\": 3}\n\n\ndef test_failed_jobs_release_capacity_and_preserve_result_order():\n async def bad():\n await asyncio.sleep(0)\n raise ValueError(\\\"boom\\\")\n\n async def good():\n return \\\"ok\\\"\n\n async def exercise():\n pool = JobPool(concurrency=2, retries=1)\n results = await asyncio.wait_for(pool.run([bad] * 6 + [good]), 1)\n assert all(isinstance(result, ValueError) for result in results[:-1])\n assert results[-1] == \\\"ok\\\"\n assert pool.stats == {\\\"ok\\\": 1, \\\"failed\\\": 6, \\\"attempts\\\": 13}\n\n asyncio.run(exercise())\n\n\ndef test_pool_reuse_across_event_loops_with_contention():\n pool = JobPool(concurrency=1, retries=0)\n\n async def good():\n await asyncio.sleep(0)\n return \\\"ok\\\"\n\n async def exercise():\n return await asyncio.wait_for(pool.run([good] * 3), 1)\n\n for _ in range(3):\n assert asyncio.run(exercise()) == [\\\"ok\\\"] * 3\n assert pool.stats == {\\\"ok\\\": 9, \\\"failed\\\": 0, \\\"attempts\\\": 9}\n\n\ndef test_pool_reuse_after_failures_in_same_loop():\n pool = JobPool(concurrency=1, retries=0)\n\n async def bad():\n raise RuntimeError(\\\"boom\\\")\n\n async def good():\n return 42\n\n async def exercise():\n assert isinstance((await pool.run([bad]))[0], RuntimeError)\n assert await asyncio.wait_for(pool.run([good, good]), 1) == [42, 42]\n assert await pool.run([]) == []\n\n asyncio.run(exercise())\n assert pool.stats == {\\\"ok\\\": 2, \\\"failed\\\": 1, \\\"attempts\\\": 3}\n\n\ndef test_concurrency_bound_includes_retries():\n pool = JobPool(concurrency=2, retries=1)\n active = 0\n peak = 0\n\n def make_job():\n attempts = 0\n\n async def job():\n nonlocal attempts, active, peak\n attempts += 1\n active += 1\n peak = max(peak, active)\n try:\n await asyncio.sleep(0)\n if attempts == 1:\n raise ValueError(\\\"retry\\\")\n return \\\"ok\\\"\n finally:\n active -= 1\n\n return job\n\n assert asyncio.run(pool.run([make_job() for _ in range(8)])) == [\\\"ok\\\"] * 8\n assert peak == 2\n assert active == 0\n assert pool.stats == {\\\"ok\\\": 8, \\\"failed\\\": 0, \\\"attempts\\\": 16}\n\n\[REDACTED:email](\\\"concurrency\\\", [0, -1, 1.5, None])\ndef test_invalid_concurrency_rejected_instead_of_hanging(concurrency):\n with pytest.raises(ValueError):\n JobPool(concurrency=concurrency)\n\n\[REDACTED:email](\\\"retries\\\", [-1, 1.5, None])\ndef test_invalid_retry_count_rejected(retries):\n with pytest.raises(ValueError):\n JobPool(retries=retries)\nEOF\npython -m pytest -q\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"cat > jobpool/__init__.py <<'EOF'\n\\\"\\\"\\\"Tiny async job pool: run coroutine jobs with bounded concurrency and retries.\\\"\\\"\\\"\nimport asyncio\n\n\nclass JobPool:\n def __init__(self, concurrency=4, retries=2):\n if not isinstance(concurrency, int) or concurrency < 1:\n raise ValueError(\\\"concurrency must be a positive integer\\\")\n if not isinstance(retries, int) or retries < 0:\n raise ValueError(\\\"retries must be a nonnegative integer\\\")\n self.concurrency = concurrency\n self.retries = retries\n self.stats = {\\\"ok\\\": 0, \\\"failed\\\": 0, \\\"attempts\\\": 0}\n\n async def _run_one(self, job, semaphore):\n async with semaphore:\n for attempt in range(self.retries + 1):\n self.stats[\\\"attempts\\\"] += 1\n try:\n result = await job()\n except Exception as error:\n if attempt == self.retries:\n self.stats[\\\"failed\\\"] += 1\n return error\n else:\n self.stats[\\\"ok\\\"] += 1\n return result\n\n async def run(self, jobs):\n \\\"\\\"\\\"Return results or job exceptions in input order.\n\n Each run has bounded concurrency and may use a new event loop. Stats\n accumulate across runs. Cancellation of the run still propagates.\n \\\"\\\"\\\"\n semaphore = asyncio.Semaphore(self.concurrency)\n return await asyncio.gather(\n *(self._run_one(job, semaphore) for job in jobs)\n )\nEOF\ncat > tests/test_regressions.py <<'EOF'\nimport asyncio\n\nimport pytest\n\nfrom jobpool import JobPool\n\n\[REDACTED:email](\\\"retries\\\", [0, 1, 2, 4])\ndef test_exhausted_retries_return_last_exception_and_count_attempts(retries):\n errors = []\n\n async def bad():\n error = ValueError(str(len(errors)))\n errors.append(error)\n raise error\n\n pool = JobPool(concurrency=1, retries=retries)\n assert asyncio.run(pool.run([bad])) == [errors[-1]]\n assert len(errors) == retries + 1\n assert pool.stats == {\\\"ok\\\": 0, \\\"failed\\\": 1, \\\"attempts\\\": retries + 1}\n\n\ndef test_success_on_final_attempt_counts_one_successful_job():\n attempts = 0\n\n async def flaky():\n nonlocal attempts\n attempts += 1\n if attempts < 3:\n raise RuntimeError(\\\"try again\\\")\n return \\\"recovered\\\"\n\n pool = JobPool(concurrency=1, retries=2)\n assert asyncio.run(pool.run([flaky])) == [\\\"recovered\\\"]\n assert pool.stats == {\\\"ok\\\": 1, \\\"failed\\\": 0, \\\"attempts\\\": 3}\n\n\ndef test_failed_jobs_release_capacity_and_preserve_result_order():\n async def bad():\n await asyncio.sleep(0)\n raise ValueError(\\\"boom\\\")\n\n async def good():\n return \\\"ok\\\"\n\n async def exercise():\n pool = JobPool(concurrency=2, retries=1)\n results = await asyncio.wait_for(pool.run([bad] * 6 + [good]), 1)\n assert all(isinstance(result, ValueError) for result in results[:-1])\n assert results[-1] == \\\"ok\\\"\n assert pool.stats == {\\\"ok\\\": 1, \\\"failed\\\": 6, \\\"attempts\\\": 13}\n\n asyncio.run(exercise())\n\n\ndef test_pool_reuse_across_event_loops_with_contention():\n pool = JobPool(concurrency=1, retries=0)\n\n async def good():\n await asyncio.sleep(0)\n return \\\"ok\\\"\n\n async def exercise():\n return await asyncio.wait_for(pool.run([good] * 3), 1)\n\n for _ in range(3):\n assert asyncio.run(exercise()) == [\\\"ok\\\"] * 3\n assert pool.stats == {\\\"ok\\\": 9, \\\"failed\\\": 0, \\\"attempts\\\": 9}\n\n\ndef test_pool_reuse_after_failures_in_same_loop():\n pool = JobPool(concurrency=1, retries=0)\n\n async def bad():\n raise RuntimeError(\\\"boom\\\")\n\n async def good():\n return 42\n\n async def exercise():\n assert isinstance((await pool.run([bad]))[0], RuntimeError)\n assert await asyncio.wait_for(pool.run([good, good]), 1) == [42, 42]\n assert await pool.run([]) == []\n\n asyncio.run(exercise())\n assert pool.stats == {\\\"ok\\\": 2, \\\"failed\\\": 1, \\\"attempts\\\": 3}\n\n\ndef test_concurrency_bound_includes_retries():\n pool = JobPool(concurrency=2, retries=1)\n active = 0\n peak = 0\n\n def make_job():\n attempts = 0\n\n async def job():\n nonlocal attempts, active, peak\n attempts += 1\n active += 1\n peak = max(peak, active)\n try:\n await asyncio.sleep(0)\n if attempts == 1:\n raise ValueError(\\\"retry\\\")\n return \\\"ok\\\"\n finally:\n active -= 1\n\n return job\n\n assert asyncio.run(pool.run([make_job() for _ in range(8)])) == [\\\"ok\\\"] * 8\n assert peak == 2\n assert active == 0\n assert pool.stats == {\\\"ok\\\": 8, \\\"failed\\\": 0, \\\"attempts\\\": 16}\n\n\[REDACTED:email](\\\"concurrency\\\", [0, -1, 1.5, None])\ndef test_invalid_concurrency_rejected_instead_of_hanging(concurrency):\n with pytest.raises(ValueError):\n JobPool(concurrency=concurrency)\n\n\[REDACTED:email](\\\"retries\\\", [-1, 1.5, None])\ndef test_invalid_retry_count_rejected(retries):\n with pytest.raises(ValueError):\n JobPool(retries=retries)\nEOF\npython -m pytest -q\"", "aggregated_output": "/bin/bash: line 170: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc 'command -v python3; ls /usr/bin/python* /opt/venv/bin/python* 2>/dev/null; git diff --stat'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc 'command -v python3; ls /usr/bin/python* /opt/venv/bin/python* 2>/dev/null; git diff --stat'", "aggregated_output": "/usr/bin/python3\n/usr/bin/python-argcomplete-check-easy-install-script\n/usr/bin/python3\n/usr/bin/python3-config\n/usr/bin/python3.13\n/usr/bin/python3.13-config\nwarning: Not a git repository. Use --no-index to compare two paths outside a working tree\nusage: git diff --no-index [<options>] <path> <path> [<pathspec>...]\n\nDiff output format options\n -p, --patch generate patch\n -s, --no-patch suppress diff output\n -u generate patch\n -U, --unified[=<n>] generate diffs with <n> lines context\n -W, --[no-]function-context\n generate diffs with <n> lines context\n --raw generate the diff in raw format\n --patch-with-raw synonym for '-p --raw'\n --patch-with-stat synonym for '-p --stat'\n --numstat machine friendly --stat\n --shortstat output only the last line of --stat\n -X, --dirstat[=<param1>,<param2>...]\n output the distribution of relative amount of changes for each sub-directory\n --cumulative synonym for --dirstat=cumulative\n --dirstat-by-file[=<param1>,<param2>...]\n synonym for --dirstat=files,<param1>,<param2>...\n --check warn if changes introduce conflict markers or whitespace errors\n --summary condensed summary such as creations, renames and mode changes\n --name-only show only names of changed files\n --name-status show only names and status of changed files\n --stat[=<width>[,<name-width>[,<count>]]]\n generate diffstat\n --stat-width <width> generate diffstat with a given width\n --stat-name-width <width>\n generate diffstat with a given name width\n --stat-graph-width <width>\n generate diffstat with a given graph width\n --stat-count <count> generate diffstat with limited lines\n --[no-]compact-summary\n generate compact summary in diffstat\n --binary output a binary diff that can be applied\n --[no-]full-index show full pre- and post-image object names on the \"index\" lines\n --[no-]color[=<when>] show colored diff\n --ws-error-highlight <kind>\n highlight whitespace errors in the 'context', 'old' or 'new' lines in the diff\n -z do not munge pathnames and use NULs as output field terminators in --raw or --numstat\n --[no-]abbrev[=<n>] use <n> digits to display object names\n --src-prefix <prefix> show the given source prefix instead of \"a/\"\n --dst-prefix <prefix> show the given destination prefix instead of \"b/\"\n --line-prefix <prefix>\n prepend an additional prefix to every line of output\n --no-prefix do not show any source or destination prefix\n --default-prefix use default prefixes a/ and b/\n --inter-hunk-context <n>\n show context between diff hunks up to the specified number of lines\n --output-indicator-new <char>\n specify the character to indicate a new line instead of '+'\n --output-indicator-old <char>\n specify the character to indicate an old line instead of '-'\n --output-indicator-context <char>\n specify the character to indicate a context instead of ' '\n\nDiff rename options\n -B, --break-rewrites[=<n>[/<m>]]\n break complete rewrite changes into pairs of delete and create\n -M, --find-renames[=<n>]\n detect renames\n -D, --irreversible-delete\n omit the preimage for deletes\n -C, --find-copies[=<n>]\n detect copies\n --[no-]find-copies-harder\n use unmodified files as source to find copies\n --no-renames disable rename detection\n --[no-]rename-empty use empty blobs as rename source\n --[no-]follow continue listing the history of a file beyond renames\n -l <n> prevent rename/copy detection if the number of rename/copy targets exceeds given limit\n\nDiff algorithm options\n --minimal produce the smallest possible diff\n -w, --ignore-all-space\n ignore whitespace when comparing lines\n -b, --ignore-space-change\n ignore changes in amount of whitespace\n --ignore-space-at-eol ignore changes in whitespace at EOL\n --ignore-cr-at-eol ignore carrier-return at the end of line\n --ignore-blank-lines ignore changes whose lines are all blank\n -I, --[no-]ignore-matching-lines <regex>\n ignore changes whose all lines match <regex>\n --[no-]indent-heuristic\n heuristic to shift diff hunk boundaries for easy reading\n --patience generate diff using the \"patience diff\" algorithm\n --histogram generate diff using the \"histogram diff\" algorithm\n --diff-algorithm <algorithm>\n choose a diff algorithm\n --anchored <text> generate diff using the \"anchored diff\" algorithm\n --word-diff[=<mode>] show word diff, using <mode> to delimit changed words\n --word-diff-regex <regex>\n use <regex> to decide what a word is\n --color-words[=<regex>]\n equivalent to --word-diff=color --word-diff-regex=<regex>\n --[no-]color-moved[=<mode>]\n moved lines of code are colored differently\n --[no-]color-moved-ws <mode>\n how white spaces are ignored in --color-moved\n\nOther diff options\n --[no-]relative[=<prefix>]\n when run from subdir, exclude changes outside and show relative paths\n -a, --[no-]text treat all files as text\n -R swap two inputs, reverse the diff\n --[no-]exit-code exit with 1 if there were differences, 0 otherwise\n --[no-]quiet disable all output of the program\n --[no-]ext-diff allow an external diff helper to be executed\n --[no-]textconv run external text conversion filters when comparing binary files\n --ignore-submodules[=<when>]\n 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output to a specific file\n\n", "exit_code": 129, "status": "failed"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "agent_message", "text": "The fixes and regression tests are in place. This environment has `python3` but no `python` command; I\u2019ll use a temporary alias to run the requested test command.\n"}}
{"type": "item.started", "item": {"id": "item_7", "type": "command_execution", "command": "/bin/bash -lc 'mkdir -p /tmp/jobpool-test-bin\nln -sf /usr/bin/python3 /tmp/jobpool-test-bin/python\nPATH=\"/tmp/jobpool-test-bin:$PATH\" python -m pytest -q'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_7", "type": "command_execution", "command": "/bin/bash -lc 'mkdir -p /tmp/jobpool-test-bin\nln -sf /usr/bin/python3 /tmp/jobpool-test-bin/python\nPATH=\"/tmp/jobpool-test-bin:$PATH\" python -m pytest -q'", "aggregated_output": "/tmp/jobpool-test-bin/python: No module named pytest\n", "exit_code": 1, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_8", "type": "command_execution", "command": "/bin/bash -lc 'ls -a /opt /home/bob /usr/local/bin /tmp'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
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{"type": "item.completed", "item": {"id": "item_12", "type": "agent_message", "text": "Fixed exception handling, leaked semaphore permits, retry counts, and reuse across event loops. Added input validation and regression tests, preserving the public API and cumulative stats.\n\nValidation: `python -m pytest -q` \u2014 **18 passed**, using an existing local Python environment. No dependencies added or network used."}}
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