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Claude Opus 5.5 (effort default (no --effort flag) · thinking on) on Model ladder: fix 10 real merged bugs with tests hidden

AClaude Opus 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-16 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.25
Wall time
47s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

You are working in a checkout of the python-humanize/humanize repository. A user filed this bug report: --- intcomma() raises OverflowError for very large integers `humanize.intcomma(10**400 + 123)` raises `OverflowError: int too large to convert to float` instead of returning the number with thousands separators. Negative huge integers (`-(10**400 + 123)`) fail the same way. Python ints are arbitrary precision, so I expect the full digits, correctly grouped (ending in `,123`), just like for small integers. --- Fix the bug in the library code. Dependencies are already installed (Python virtualenv in .venv; run tests with .venv/bin/pytest). Keep the change minimal and in the style of the codebase; you may add or update tests. Make sure the existing test suite still passes. You have no internet access.

Five real bug fixes merged into popular open-source libraries after the models' training cutoff (humanize, marshmallow, tenacity, nanoid, path-to-regexp). Each agent starts from the commit before the fix with only a symptom-style bug report, and the fix PR's own regression tests are applied afterwards to check the result. The size of the agent's source change is compared with the human fix. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked). Upstream fix being reproduced: https://github.com/python-humanize/humanize/pull/392, https://github.com/python-humanize/humanize/commit/984526c02448110a8392dde3f5e26096dfd7c729.

Success criteria: Hidden PR tests pass; existing suite stays green; diff under 2x the human diff size.

Setup notes: Real merged bug fix: python-humanize/humanize https://github.com/python-humanize/humanize/pull/392 (merged after the models' Jun 2026 cutoff). Agent got a history-free snapshot of the parent commit 14965a7495 with deps installed, and a symptom-only bug report written by the runner from the PR description (no fix hints). The PR's test files were overlaid only after the agent finished. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Diff-size flag (not scored): agent changed 21 source lines vs 2 in the human fix (allowance 20; OVER allowance). Claude Code's own reported cost for claude-opus-5.5: $0.253125. Score: 2/2. Cost is an ESTIMATE: measured tokens x pricing.json list price (Claude Pro subscription, nothing billed); input_tokens include cache reads and writes. Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.25
Wall time
47s
Human step-ins
0
Turns
12
Model usage
ModelInput tokOutput tokCost
AClaude Opus 5.5anthropic/claude-opus-5.5effort default (no --effort flag) · thinking on228,4204,411$0.25

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Claude Opus 5.5 (anthropic/claude-opus-5.5, effort default (no --effort flag) · thinking on) via Claude Code 2.1.299 (headless -p), cloud.
  3. It counts as a success only if it meets every success criterion: Hidden PR tests pass; existing suite stays green; diff under 2x the human diff size.
  4. 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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Evidence log
[
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   "output_tokens": 4411,
   "output_tokens_details": {
    "thinking_tokens": 1295
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   "server_tool_use": {
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     },
     "type": "message"
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   "speed": "standard",
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  "modelUsage": {
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    "canonicalModel": "claude-opus-5-5",
    "provider": "firstParty",
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  },
  "permission_denials": [],
  "terminal_reason": "completed",
  "fast_mode_state": "off",
  "fast_mode_disabled_reason": "sdk_opt_in_required",
  "subagent_stats": {
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   "started_in_background": 0,
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   "killed": {
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   "refused": {
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  "safety_stops": 0,
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  "num_turns": 12,
  "subtype": "success",
  "api_error_status": null,
  "result": "I fixed `intcomma()` in `src/humanize/number.py`. `intcomma(10**400 + 123)` and the negative version now return every digit, grouped in threes and ending in `,123`.\n\n**Cause:** to check for NaN and infinity, `intcomma()` turned every input into a float. Python can't convert an int that large to a float, so it raised `OverflowError`.\n\n**Fix:**\n- **Integers skip the float check.** An integer can never be NaN or infinity, so the check isn't needed. Floats, Decimals and other non-integer inputs still get it.\n- **Large numbers passed as strings:** this was a related bug. `intcomma(str(10**400))` was returning `\"+Inf\"`, because the string was parsed as a float before being tried as an integer. Strings without a `.` are now parsed as integers first. Strings like `\"inf\"` and `\"nan\"` still return `+Inf` and `NaN`. Other strings that aren't integers, such as `\"1e3\"`, still come back unchanged as before.\n- **Integers with `ndigits`:** `intcomma(10**400, 2)` would have overflowed the same way, so an integer with `ndigits` set is now converted to a `Decimal` before formatting.\n\n**Tests:** I added four cases to `test_intcomma` in `tests/test_number.py`: a large positive int, a large negative int, the large int as a string, and the large int with `ndigits=2`.\n\n**Results:** `tests/test_number.py` passes (236 tests). The full suite has 713 passed, 110 skipped and 15 errors. The errors are all in `tests/test_benchmarks.py`: the `pytest-benchmark` plugin isn't installed in `.venv`, so the `benchmark` fixture is missing. The same 15 errors occur without my change.",
  "ttft_ms": 2091,
  "type": "result",
  "duration_ms": 46522,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 867,
  "time_to_request_ms": 225,
  "first_content_frame_ms": 867,
  "queued_turn_count": 0,
  "result_index": 0
 }
]

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