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).
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--- Run C+Q ---
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final diff vs pristine: 30 changed lines -> /tmp/rehearsal/runs/C+Q/diff.patch
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mvn test with solution's test + approved file:
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RESULT: PASS (deterministic)
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structural checks:
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[x] method collectExpectedWeather exists
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[x] takes LongFunction<Boolean> parameter
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[i] note: 'scorer' still referenced in LongRangeForecasts.java
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[x] lambda syntax present
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[i] main class differs from reference solution (may still be a valid variant)
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