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feat(scan): size portions from measured per-answer cost and isolate the kill culprit
The 7.8 trace showed the completion loss was a sizer death spiral, not expensive families: after two kills the budget fell to 3 sink visits and never recovered, because portions finishing in 25-30 s sat under an assumed 70 s fixed start and read as "no information", so the budget could only shrink. - taint.sc streams each answer's own cost (`ms`); the backend carries it as a reserved `__timing__` list through shards, partitions and reuse. - The sizer budgets predicted seconds from per-family seconds-per-visit rates learned from those costs, and measures the fixed start as the wall time the answers do not explain (median), instead of assuming it. - A kill names its culprit: the first unanswered id in request order. The ids behind it never started and are re-queued at once; the culprit is asked alone after the rest. One that still fails alone after more than a portion's target is reported as `query_too_expensive`, apart from `query_failed`. - Portions grow id by id from the queue head, and a single-portion scan now goes through the queue too, so a kill there re-asks its remainder. - Fix: the reuse wrapper wrapped only `run_batch`, so since 7.8 every portioned query bypassed the graph-reuse cache and its source-root normalization. `run_batch_once` is wrapped too. Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
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Claude Opus 5.5
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@@ -435,6 +435,10 @@ _COVERAGE_DEGRADATIONS: dict[str, str] = {
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),
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"files_unparsed": "{count} file(s) could not be parsed and are absent from the graph: {files}.",
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"query_failed": "A `{kind}` query failed for {requests} region(s), so those regions were not decided.",
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"query_too_expensive": (
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"{requests} `{kind}` question(s) could not be answered even when asked alone, spending up to "
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"{max_seconds} s each, so those regions were not decided. This is the cost of the question, not a transient failure."
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),
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"budget_exhausted": "The model-call budget ran out with {regions_unasked} region(s) still unasked.",
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"regions_truncated": (
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"Only the **{examined} highest-ranked of {total} regions** were examined. Nothing above says anything "
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