119 lines
4.7 KiB
Markdown
119 lines
4.7 KiB
Markdown
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---
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created_at: 2026-10-05T04:11:32.732262+00:00
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generated_by:
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harness: codex
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provider: OpenAI
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git_ref: eed58566
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scope: code
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substantive: true
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raw_file: 20261005T041132Z_eed58566_trend_b4fe4d_prompt_io.raw.md
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---
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## Prompt
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The user requested an autonomous search of GitHub issues and local
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notes, code, documentation and comments for Trend Calculus research,
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then a rigorous Piker-native implementation in the FSP subsystem.
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They asked to prepare multiple high-frequency timeframe regimes for
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the JEV System-1 provider service, with work bounded by 00:18 Eastern.
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They authorized same-caliber subagents and requested, as a bonus,
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multiple-timeframe reversal markers and live rectangle annotations.
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The user supplied these implementation resources:
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- https://docs.typesafe.ai/models
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- https://docs.typesafe.ai/sdk/python
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- https://docs.typesafe.ai/agent-skill
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They offered a Pine implementation but had not supplied it. They
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said the API key was still being set up and instructed us to continue
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offline. They clarified the workspace concern, disabled fast mode,
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and supplied repository rules: preserve human-owned task states,
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no autonomous commits or pushes, 69-column prose, Xonsh snippets,
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and the Python style skill.
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## Response summary
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Implemented a bounded Numba recurrence and a four-order native FSP
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with provisional-tail isolation, skipped-step recovery, indexed
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publication, quiet sampler wakeups, sparse events and history replay.
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Added complete aligned multiple-timeframe aggregation, immutable
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provenance-rich snapshots, bounded HTTPX/Trio JEV requests and a
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paced worker that rejects stale or invalidated results. Added native
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feed/service wiring and opt-in Qt markers and regime rectangles,
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including actual 1/5/15-second layers and model receipt/expiry rules.
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Research identifies pinned Lua/Scala sources, issue discussions,
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local notes and the manuscript, with explicit semantic differences.
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Original Lua fixtures and an independent materialized-window oracle
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check 21,870 exhaustive histories, 48 random recursive streams and
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62 original Lua reversals. No complete Pine source was recovered.
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The TypeSafe agent skill was installed and applied. No live API key
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was read, no model request was sent, no broker session was opened,
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and no Git history or human-owned task state was changed.
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## Verification
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The combined targeted suite passed 252 tests, with one unrelated
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remote gap-dialog actor case deselected. The one warning is an
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existing Tractor dependency's deprecated Trio Event truth test.
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The new SHM test includes an actual separate read-only child actor
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after in-place replay. This does not prove concurrent cross-process
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write atomicity. Ruff, diff whitespace and 69-column checks passed.
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The combined suite covered test_trend, test_trend_reference,
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test_trend_shm, test_trend_regimes, test_jev, test_regime_feed,
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test_trend_graphics, test_trend_mtf_graphics, test_fsp_sync,
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test_fsp_momo and test_gap_overlays. The standard py313 environment
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and pytest with the xonsh plugin disabled were used. Socket/SHM
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execution required approved sandbox escalation.
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The synthetic offscreen chart preview was generated and inspected.
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The reproducible benchmark measured roughly 8.586 million batch
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rows/second and 6.963 microseconds median scalar update on this host;
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these exclude rendering, transport and provider inference. Native
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subsecond sampling remains unsupported by the existing clock.
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Live provider quality and the user's Pine parity remain unverified.
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## Files changed
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- `piker/fsp/__init__.py`
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- `piker/fsp/_api.py`
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- `piker/fsp/_engine.py`
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- `piker/ui/_display.py`
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- `piker/ui/_fsp.py`
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- `piker/fsp/_trend.py`
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- `piker/fsp/_trend_fsp.py`
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- `piker/fsp/_regime.py`
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- `piker/fsp/_jev.py`
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- `piker/fsp/_regime_feed.py`
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- `piker/ui/_trend.py`
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- `piker/ui/_trend_mtf.py`
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- `tests/test_trend.py`
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- `tests/test_trend_shm.py`
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- `tests/test_trend_reference.py`
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- `tests/test_trend_regimes.py`
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- `tests/test_jev.py`
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- `tests/test_regime_feed.py`
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- `tests/test_trend_graphics.py`
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- `tests/test_trend_mtf_graphics.py`
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- `tests/_inputs/trend_calculus_lua.json`
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- `examples/benchmark_trend.py`
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- `examples/trend_regimes.py`
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- `examples/trend_graphics.py`
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- `docs/trend_calculus.rst`
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- `ai/prompt-io/README.md`
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## Human edits
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The human supplied the objective, deadline, research resources,
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provider choice, optional skill installation, graphics extension,
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parallel-agent authorization and offline credential constraint.
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Those directions materially determined the implementation and scope.
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No direct manual source edits were observed during this work. The
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patch is pending human review; acceptance is not inferred. Research,
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implementation, review and tests were performed by the root Codex
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agent with three same-caliber delegated agents. Existing unrelated
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working-tree artifacts were preserved.
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