Files
learning-hour-maker/ideas/split-loop-with-lambda/exercise/rehearsal-runs/A+Q/measure.txt
T
Your Name b993f25c53 Add agent rehearsal harness, findings, and per-run evidence for split-loop-with-lambda
Six scripted pi sub-agent runs (3 tool regimes × 2 models) rehearsed the
exercise; deterministic gate = solution test + approved file. Key results:
mandated CLI triples cost on the strong model (4:06 vs 0:39, PASS both);
weak model fails only under the mandate (A+Q), passes when free or optional.
Drift documented with code: scorer.updateSelection left inside the extracted
method (A+Q, C+Q). Harness in tools/rehearse; summary in
rehearsal-findings.md; per-run evidence in rehearsal-runs/; cheat sheet in
rehearse-with-agent.md corrected (lambda-typed parameters unsupported).
2026-09-27 17:36:19 +00:00

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--- Run A+Q ---
session file: /tmp/rehearsal/runs/A+Q/session/2026-09-27T14-54-11-453Z_01a0e35b-fbfd-71d3-8ae9-9dcefb682f49.jsonl
model: Qwen/Qwen3.6-35B-A3B
session span: 127.1 s
assistant messages: 27
tool calls: 28 total
bash 17
read 8
edit 3
tokens input: 338864
tokens output: 10563
tokens cacheRead: 0
tokens cacheWrite: 0
tokens reasoning: 3385
tokens TOTAL (sum): 352812
--- /usr/bin/time -v (wall clock + max RSS) ---
Elapsed (wall clock) time (h:mm:ss or m:ss): 2:07.25
Maximum resident set size (kbytes): 272272
Exit status: 0
--- pi stdout (last 15 lines) ---
+ private List<Boolean> collectExpectedWeather(List<Instant> interestingDates,
+ LongFunction<Boolean> dayOffsetToWeather) {
+ List<Boolean> result = new ArrayList<>();
+ for (Instant interestingDate : interestingDates) {
+ scorer.updateSelection();
+ var forecastDate = Instant.parse("2023-04-26T14:00:00.000-07:00");
+ long daysForward = ChronoUnit.DAYS.between(forecastDate, interestingDate);
+ result.add(dayOffsetToWeather.apply(daysForward));
+ }
+ return result;
+ }
}
```
The code **compiles cleanly**. The test fails because the old `longRangeForecast(String)` signature no longer exists — which is expected per the task instructions.