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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Command being timed: "timeout -k 15 600 pi -p -a --session-dir /tmp/rehearsal/runs/B/session --name rehearsal-B Read AGENTS.md in this directory and execute the refactoring task it describes. Run mvn -q test after each change. When done, stop and report the final diff of LongRangeForecasts.java."
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User time (seconds): 15.30
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System time (seconds): 1.08
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Percent of CPU this job got: 41%
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Elapsed (wall clock) time (h:mm:ss or m:ss): 0:39.35
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Average shared text size (kbytes): 0
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Average unshared data size (kbytes): 0
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Average stack size (kbytes): 0
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Average total size (kbytes): 0
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Maximum resident set size (kbytes): 249312
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Average resident set size (kbytes): 0
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Major (requiring I/O) page faults: 0
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Minor (reclaiming a frame) page faults: 332026
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Voluntary context switches: 28517
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Involuntary context switches: 935
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Swaps: 0
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File system inputs: 0
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File system outputs: 1624
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Socket messages sent: 0
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Socket messages received: 0
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Signals delivered: 0
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Page size (bytes): 4096
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Exit status: 0
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