test(fixtures): replace sector-specific example material with generic, fictitious examples — green
Every fixture, test document, tool example and document now uses an invented kitchen-and-baking handbook series, written in this repository. The package's behaviour is unchanged; src/ changes are comments and help text only. - Generated fixtures are regenerated from their generators. Their structural counts are identical before and after: elements, images, rows, cells, headings, bookmarks and the witness inventory's per-document totals. The image-inbox and accounting documents are renamed kapittel-84-*. - tools/okf_accounting_gate.py: the two options that named one real corpus each are replaced by a generic, repeatable --corpus PATH with no default. Row 5 compares the PDF pair alone. Gate verdict unchanged: RED rows 2, 3, 6. - tools/okf_witness.py: the STS JSON reader for one publisher's delivery is removed, along with its three twins and five tests. The mutation harness loses W09. - docs/: 13 dated reports that documented runs on a retired reference corpus are removed, and 40 are neutralized. Dead links are removed, and no new dangling path is introduced. - The synthetic MCP-gate corpus and the residual probe words are neutral. Valgt: keep the `okf quality --fasit` bar value (the measured fraction, one corpus) and rewrite only its provenance, because the verdict stays unchanged and the number names nothing. Term check with the local list: 0 of 411 tracked files, 0 file names, 0 of 27 binary fixtures. Suite after git add: 2457 passed, 1 skipped. The base tree had 2460 passed and 2 skipped; five tests went with the JSON reader and four were added by the term check. ruff, ruff format and mypy --strict src/ are clean. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@ -12,7 +12,7 @@ the requester's own measured gain actually lives.
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## What was asked
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`vegnormal-okf` measured four faceted arms against one corpus, 32 questions,
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A downstream consumer measured four faceted arms against one corpus, 32 questions,
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locked scoring, shared denominator 17. Arm F4 was arm F3 with exactly one
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variable moved — the index's sort order — and scored 14/17 against F3's 12/17.
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The single-variable claim was verified against the files rather than assumed:
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@ -46,13 +46,13 @@ the part carrying the measured gain.
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Measured, on this repo's own interpreter:
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```
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sorted(["N100.9", "N100.10", "N100.2", "N100.20", "N100.1", "N99.1"])
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-> ['N100.1', 'N100.10', 'N100.2', 'N100.20', 'N100.9', 'N99.1']
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sorted(["Q100.9", "Q100.10", "Q100.2", "Q100.20", "Q100.1", "Q99.1"])
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-> ['Q100.1', 'Q100.10', 'Q100.2', 'Q100.20', 'Q100.9', 'Q99.1']
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```
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Two independent inversions: `N100.10` sorts before `N100.2`, and `N99.1` lands
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*after* the entire `N100` family. A `sort_key: req_number` resolved through
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Python's default ordering would therefore have handed `vegnormal-okf` a
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Two independent inversions: `Q100.10` sorts before `Q100.2`, and `Q99.1` lands
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*after* the entire `Q100` family. A `sort_key: req_number` resolved through
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Python's default ordering would therefore have handed that consumer a
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different wrong order, not the 100.0% ascending they measured over 24 338
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pairs. Their result came from comparing numerically. The key name alone does
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not carry that.
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