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Claude Opus 5.5 (effort default (no --effort flag) · thinking on) on Turn a minute-by-minute common-free-time scan into a sweep that handles 3,000 calendars in <3 s with identical output

AClaude Opus 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-17 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.11
Wall time
23s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Task: make common_free fast `slots.py:common_free` is correct but far too slow for real calendars (it scans every minute). Rewrite it so that it returns exactly the same result (same list of tuples, same order) for every input, but runs fast: the grader times a call with 3,000 people x 60 busy intervals each over a horizon of 50,000,000 minutes and requires < 3 s wall-clock, and compares your output with the original on many random and edge-case inputs (touching/overlapping/empty intervals, intervals outside the window, min_len boundaries, start == end). Keep the function name and signature. Standard library only. No network.

The rewrite is short, but exact equality on edge cases (empty/inverted intervals, clipping, min_len=0, start==end, touching intervals) is where sloppy sweeps fail. 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).

Success criteria: 1. output_identical: output equals the original implementation on 11 edge cases and 400 seeded random inputs. 2. fast_enough: one call with 3,000 people x 60 intervals over a 50,000,000-minute horizon takes < 3.0 s (subprocess capped at 30 s; timeout = fail).

Setup notes: Use Case Scout batch 5 case e06-perf-common-free-slots (offline fixture). Prepared with batch5/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR KEYDIR`. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. 1-min load average at scoring: 0.40. Claude Code's own reported cost for claude-opus-5.5: $0.106825. Score: 2/2 checks. 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
$0.11
Wall time
23s
Human step-ins
0
Turns
3
Model usage
ModelInput tokOutput tokCost
AClaude Opus 5.5anthropic/claude-opus-5.5effort default (no --effort flag) · thinking on55,6491,820$0.11

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: 1. output_identical: output equals the original implementation on 11 edge cases and 400 seeded random inputs. 2. fast_enough: one call with 3,000 people x 60 intervals over a 50,000,000-minute horizon takes < 3.0 s (subprocess capped at 30 s; timeout = fail).
  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_details": {
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   "server_tool_use": {
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    "canonicalModel": "claude-opus-5-5",
    "provider": "firstParty",
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  "permission_denials": [],
  "terminal_reason": "completed",
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  "result": "I rewrote `common_free` in `slots.py`. The benchmark case (3,000 people \u00d7 60 intervals over 50,000,000 minutes) now runs in about **0.16 s**, well under the 3 s limit. On 20,000 random small inputs, its output matched the original exactly every time.\n\n**How it works:** instead of checking every minute, it does this:\n1. Drops empty intervals (`s >= e`) and ones entirely outside `[start, end)`, and trims the rest to the window.\n2. Sorts what's left and walks through it once. Any gap before the next busy interval of at least `min_len` minutes is a free slot. Touching or overlapping intervals merge, so the slots returned are the longest possible and in sorted order.\n3. Adds the final gap up to `end` under the same rule.\n\nThe total cost is one sort of all the busy intervals, so the window length no longer matters.\n\n**What the random tests covered:** touching, overlapping and empty intervals; intervals outside the window; `start == end` and `start > end`; and `min_len` values from \u22122 to 8. A `min_len` of zero or less still never produces zero-length slots, the same as the original.\n\nOne limit: the new version assumes integer times, as the module docstring says. With non-integer `start` or interval endpoints, the original would round results to its minute steps and the new version wouldn't, so they could differ. I didn't test that case.",
  "ttft_ms": 2329,
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  "uuid": "[REDACTED]",
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  "time_to_request_ms": 233,
  "first_content_frame_ms": 1387,
  "queued_turn_count": 0,
  "result_index": 0
 }
]

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