Record ModelScope mirror receipts (R11)
Browse files- acceptance/PR-M1.md +22 -0
acceptance/PR-M1.md
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@@ -539,3 +539,25 @@ Post-upload verification, all measured:
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independent process rc=0 with `acquisition_calls=0` (memory replayed),
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and the 28-test suite run from the cloned `tests/` against the installed
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wheel: **28 passed**.
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independent process rc=0 with `acquisition_calls=0` (memory replayed),
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and the 28-test suite run from the cloned `tests/` against the installed
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wheel: **28 passed**.
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### ModelScope mirror (owner-approved, same day)
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Channel matrix note: ModelScope is domestic and runs **direct, no proxy**; the
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token (`ms-…`, short-lived, write role) validated via the SDK's `whoami`
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(account `kialajin`).
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- Repo created public: `https://modelscope.cn/models/kialajin/cognitive-learning-lab`.
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- Upload: 14 files **byte-identical** to the HF repo at HEAD `d0756e93…`
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(10 hash-surface docs incl. `acceptance/PR-M1.md`, manifest, SHA256SUMS,
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`pyproject.toml`, `requirements-lock.txt`, wheel, sdist) — upload commit
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`d0aaacbffe…`, 14 committed / 0 failed, wheel stored via LFS.
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- Download-back (`snapshot_download@master`): every `SHA256SUMS` entry whose
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path exists in the flat remote layout matches byte-for-byte (10/10);
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wheel/sdist hashes match the current build directly
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(`64e02c1a…` / `d69ad3ce…`). The 35 "missing" entries are the flat-`src/` /
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`dist/` layout difference of `SHA256SUMS`, the same structural note as on
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HF, not a defect — artifact integrity is verified through the artifacts
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themselves.
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- README's YAML frontmatter (HF card format) is shipped unchanged to keep the
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two channels byte-identical; ModelScope tolerates it. Model channel
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status: HF primary, ModelScope mirror; no weights on either.
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