repeats: per-run reports under <out-dir>/<bench>/reps/repNN.report.jsonl
Each file carries that run's own score and samples; the top-level report.jsonl stays the mean-summary view (mean + repeats group). Co-Authored-By: Claude <noreply@anthropic.com>
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@ -776,6 +776,15 @@ def _cmd_eval_run(args) -> int:
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if k != 'extraction_failure_rate'), None)
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if _m is not None:
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_scores.append(_m)
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if _repeats > 1 and out_dir:
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# per-run report: <out-dir>/<bench>/reps/repNN.report.jsonl
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# (each carries THAT run's own score + samples; the
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# top-level report.jsonl stays the mean-summary view)
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import pathlib as _pl
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_rdir = _pl.Path(out_dir) / name / 'reps'
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_rdir.mkdir(parents=True, exist_ok=True)
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report.save(str(_rdir / f'rep{_rep + 1:02d}.report.jsonl'))
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_rep_info = report.metric_groups.get('run_info', {}) or {}
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_rep_secs += sum(float((s.usage or {}).get('latency_s', 0) or 0)
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for s in report.samples)
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