34 lines
1.0 KiB
Markdown
34 lines
1.0 KiB
Markdown
---
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model: openai/gpt-5.6-sol
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service: opencode
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session: ses_0799212ebffe42arY96czXn89F
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timestamp: 2026-08-05T19:50:01Z
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git_ref: f0f3c806
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scope: code
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substantive: true
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raw_file: 20260805T195001Z_f0f3c806_prompt_io.raw.md
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---
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## Prompt
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Inspect the completed NVDA 60s SHM backfill before workspace restart, explain
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the persistent zero region, and continue fixing the indexing logic so sparse
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IB history does not leave physical null reservations.
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## Response summary
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Captured a 42,720-row live SHM null span whose valid margins shared the same
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timestamp. Replaced wall-clock row reservation with actual provider-boundary
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placement, fixed stale SHM first-index, endpoint insertion and field-map
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semantics, published the final storage prepend, and added a full multi-frame
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`tsdb_backfill()` regression using a real `ShmArray`.
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## Files changed
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- `piker/tsp/_history.py` - contiguous provider and NativeDB prepends.
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- `tests/test_history_backfill.py` - sparse multi-frame SHM regression.
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## Human edits
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None - generated output incorporates the user's live observations.
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