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Author SHA1 Message Date
69e1b1f327 Drop dead held.len() > 1 guard in stance_ablation (#92) 2026-11-14 03:15:24 +00:00
1858023248 Delete dead U+0130 arm in fold_variant (#91) 2026-11-14 03:15:23 +00:00
611460bec3 Mutation pins for run.rs, context.rs, encode.rs (cut C) (#90) 2026-11-14 02:41:57 +00:00
30afdae55b Mutation pins for store.rs, inventory.rs, main.rs (cut B) (#89) 2026-11-14 01:34:33 +00:00
212bdbaf61 Mutation pins: calendar date, Gregorian February, Checkpoint::round (cut A) (#88) 2026-11-14 01:21:16 +00:00
d9187aeec1 pd-name-spans: corpus import mints a public-domain work's cast and labelled name spans (#87) 2026-11-13 20:17:45 +00:00
b7501a758d Map: golf loop runs in a Claude session; Gutenberg terms note (#86) 2026-11-13 19:32:04 +00:00
2bb9870338 Prompt::lower: the item's speaker becomes a fixed token with its forms (#85) 2026-11-13 17:28:13 +00:00
b66f0857d5 Prompt::lower strips the item's speaker id (#84) 2026-11-13 16:32:30 +00:00
bf571926c2 Housekeeping: four cheap Soul lows (tag form, separators, mint prose, create tag pin) (#83) 2026-11-13 16:10:47 +00:00
36297f8d97 calibrate: per-arm candidate counts and mild-arm offsets (#82) 2026-11-13 14:53:42 +00:00
0761f4ae7c calibrate: split prompted trials by R's role (#81) 2026-11-13 13:50:40 +00:00
d77a83e637 docs: prior art survey and plan (#80) 2026-11-13 12:17:12 +00:00
448f21e6b2 map: growth-scene recalibration, measured vs extrapolated (#79) 2026-11-13 12:07:30 +00:00
d8afc4ab85 calibrate-harness: weksa loop calibrate over answered draws (#78)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-13 09:18:54 +00:00
ba42639c3b scene-in-group: rubric r1 and 98 labelled scenes (#77)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-13 08:24:45 +00:00
76fa6856b2 map: recalibration on the 35-item Validation corpus (#76)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-13 07:33:17 +00:00
44b66f94dc validation-growth: 42 blind-written Validation items and scenes (35 per language) (#75) 2026-11-13 05:29:01 +00:00
43ec24877f map: validation growth plan and the smallest measurable distil slice (#74) 2026-11-13 05:04:52 +00:00
2dcc90796f cycle floor: paired_floor over round 1 and three prompted replicates (#73) 2026-11-13 05:02:31 +00:00
516eb4b885 round: per-item Validation scores in the round record (cycle-floor-scores) (#71) 2026-11-13 03:47:53 +00:00
98ab798ca5 paired floor: one composite formula and its pin; docs state the power measure (#72) 2026-11-13 03:39:17 +00:00
353dd2138f relower: paired per-item noise floor over >=3 prompted repeats; panel gain clears the noise of the sum (#70) 2026-11-13 03:01:52 +00:00
97aa026498 weksa loop relower: fixed-packet re-lowering measure with a lowering-only floor (#69) 2026-11-13 02:05:41 +00:00
ee3e4a2e38 withheld-candidate: candidate round stops on a withheld lowering prompt (#68) 2026-11-13 01:29:57 +00:00
8325d7e0b2 test-text-withheld-arms: withheld prompts stop every model call (#67) 2026-11-13 01:23:08 +00:00
a0aafaff19 delete-cultural-ontology: data/cultural-ontology deleted (#66) 2026-11-13 01:03:20 +00:00
736b6a4acb test-text-guard: AnswerFiles refuses a prompt that holds the text of an item in a Test group (#65) 2026-11-13 00:57:32 +00:00
887e79ef44 mint-prompt-door: the mint prompt teaches the shape the admit door admits (#64) 2026-11-12 23:54:01 +00:00
754322252b ontology-mint-probe: weksa loop mint-ontology proposes entries from Train items only, never writes the run ontology (#63) 2026-11-12 22:20:44 +00:00
af0a56d45f ja-anger-mirror: ja-JP:3 gets hedge and affection bounds as en-US:3 carries (#62) 2026-11-12 21:40:39 +00:00
349fe8e239 en-us-6-8: en-US:8 gets a certainty bound so affection and flat certainty never co-select (#61) 2026-11-12 20:56:10 +00:00
0a2d00a25f ja-surprise-certainty: ja-JP:9 reworded so its question ending is available, not prescribed (#60) 2026-11-12 20:27:19 +00:00
ccef7a761f en-us-seed-pairs: en-US :3/:5/:6 made disjoint by conditions, shared sweep helper (#59) 2026-11-12 20:18:45 +00:00
981ad0ea1f ja-seed-pairs: ja-JP :5/:7/:8 get certainty and restraint bounds (AtMostOrUnset) so the seed pairs never co-select (#58) 2026-11-12 19:52:14 +00:00
40469430b9 ja-withdraw-scene-entries: withdraw onto:ja-JP:14 and :15 (net-negative on register in the paired measure) (#57) 2026-11-12 19:17:39 +00:00
07c2755b95 ja-item19: encoder prompt states one role per predication and the group shape for coordination (#56) 2026-11-12 18:48:40 +00:00
f1f508e159 ja-inventory-6: rev 6 concepts (try, someday, a little, as one pleases, kite flyer) and the admit-cap test (#55) 2026-11-12 18:27:34 +00:00
7babf8aadc ja-inventory: rev 5 concepts and frames for the original bed (model-drafted, Validation-informed), weksa inventory admit, onto:ja-JP:15 (#54) 2026-11-12 18:08:04 +00:00
002d3186c3 Merge pull request 'language-ontology-scene: scene features, one scene door, Scene-conditioned ja/en entries, runs read entries at their own head' (#53) from weksa-lowering/language-ontology-scene into main 2026-11-12 17:22:09 +00:00
Weksa
139fa94b29 language-ontology-scene r2: a run reads entries and scenes at its own head, default bed is seed+proof+scene rev 3 (no Dao), politeness keyword guard replaced by model readings, nine seed entries reworded
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 17:11:57 +00:00
Weksa
71b9d0e055 language-ontology-scene fix: default bed carries rev 3-4, scene entries never co-select in a layer, en-US:8 names no register, keeper rank re-derived from situation, README and doc true
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 16:48:52 +00:00
Weksa
31a0c2406e language-ontology-scene s7: 56 model-annotated keeper scenes and Scene-conditioned ontology entries (ja-JP:10-14, en-US:10-13) at inventory rev 4
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 16:33:36 +00:00
Weksa
966a3678a7 language-ontology-scene s3-6: inventory rev 4 in both beds, empty speaker-state stores committed, scene tests, original corpus checks, lowering map
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 16:31:55 +00:00
Weksa
f7f4e58d78 language-ontology-scene s1-2: the run pins the speaker-state store, assembled is the one scene door, select reads slot Scene, Prompt::lower refuses an unread scene, weksa scene put|dump, speaker_scene_revision(n)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 16:27:13 +00:00
3cc06693fb Merge pull request 'language-ontology-seed: model-drafted en-US and ja-JP seed entries; target-language YAML deleted' (#52) from weksa-lowering/language-ontology-seed into main 2026-11-12 16:12:59 +00:00
Weksa
e8ba0f2eae language-ontology-seed fix s4: ja-JP:6 bans ne-softening and hedges only; front door and lowering docs stop naming a target-language profile as register owner
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 16:09:36 +00:00
Weksa
dc5e649851 language-ontology-seed fix s3: ja-JP:3 and :6 name no politeness level; README claim made true; schema clause dropped
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 15:44:08 +00:00
Weksa
79fcc313ed language-ontology-seed fix s2: neutral ja-JP:1 (no politeness per line), entry text defects, drafter residue out of the seed and score vectors, front-door and schema/tex prose
ontology.cc regenerated by weksa ontology admit, 9+9 entries, same generator string.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 15:39:48 +00:00
Weksa
fc99652f13 language-ontology-seed fix s1: rebuild the seed as 9+9 entries that read only stance and discourse and make true claims; pin the generator exactly; drop deleted store paths from the tex and schema; README says nothing grows the seed yet
ontology.cc is rebuilt from nothing (the branch is unmerged); no entry carries
over unchanged in number or text.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 15:29:11 +00:00
Weksa
6f14b00090 language-ontology-seed: model-drafted en-US and ja-JP seed entries; the target-language YAML, its typed copy and their schema prose deleted
Entries are Annotator::Model (Anthropic), inventory revision 1, drafted from the
YAML and standard references, not from any corpus text. pt-BR profiles are
deleted unconverted. Citations name data/ontology/ontology.cc.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 15:17:36 +00:00
0911c0198c Merge pull request 'language-ontology: weksa.ontology_entry, its store, select, wired into the lowering prompt' (#51) from weksa-lowering/language-ontology into main 2026-11-12 15:12:14 +00:00
Weksa
e46f933268 One language-tag owner: is_language_tag is canonical-case; tests for the case arms and Hangul fillers; leak-owner doc
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 14:51:31 +00:00
Weksa
602f7c2cd5 Ontology fix pass s1: refuse format and separator characters, canonical-case language, entries on retired features; kill six surviving mutants; two-language round test
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 14:31:35 +00:00
Weksa
cd435e2a48 Ontology tests: select, admit rules, prompt section, run pin, round prompts, draft door, CLI
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 14:14:44 +00:00
Weksa
0ea07d21fa Ontology entries per language, selected inside Prompt::lower and pinned by the run
OntologyEntry, OntologyStore::admit, ontology::select over the view's stance and discourse, OntologyDraft, run keys 15 and 16 with Drift(Ontology), weksa ontology admit and dump.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 14:11:51 +00:00
Weksa
598cbf62d6 Map: cut 5 language-ontology specced as ontology store and seed cuts
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 14:06:16 +00:00
d9ebbcf889 Merge pull request 'ja-panel-corpus: 28 model-written Japanese passages and 8 Aozora Bunko Test sentences' (#50) from weksa-lowering/ja-panel-corpus into main 2026-11-12 13:52:36 +00:00
Weksa
20863615b3 data/original: ja passages replaced, none a rendering of an en-US original or a Dao line
All 28 Train/Validation ja passages are new Japanese sentences on the inventory's
concepts with their own imagery (paddies, charcoal, kites, the bath, the market); none
renders an en-US original, and none restates a data/daodejing line (ch3, 5, 7, 8, 78) or
other canon (the old ones on 'true words', 'long-enduring', 'bellows', 'water vs hard
things' are gone). corpus.cc restored from 21eaa07 and rebuilt through weksa corpus add:
numbering 1..28 unbroken, holdout-ja:1..8 and original:1..28 byte-identical.

The concept test now matches Japanese by multi-character surface and English by word
stem, strips false friends (天気, 心配, 腹が立つ, 水曜 ...), and has a negative test.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 13:51:06 +00:00
Weksa
e30ee3886a data/original: ja passages rewritten onto the Dao r3 concepts; ja Test sentences pinned verbatim
The 28 Train/Validation ja passages are new Japanese sentences on the concepts the
pinned inventory holds (water, mind, belly, bone, sage, will, heaven, earth, fill, empty,
weaken, strengthen, compare, resemble ...), written in Japanese idiom, not translated.
The branch was unmerged, so corpus.cc was restored to 21eaa07 and rebuilt through
weksa corpus add; holdout-ja:1..8 and original:1..28 come out byte-identical.

Tests: the eight ja Test texts, groups, speakers, split and edition URLs are literal
expectations; every passage of both languages rests on a live inventory concept
(en 28/28, 18 concepts; ja 28/28, 21 concepts).

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 13:51:06 +00:00
Weksa
4dbaef9437 data/original: ja-JP slice, 28 model-written Japanese passages and 8 Aozora Bunko Test sentences
Train and Validation (14 each) are Japanese passages written in Japanese, ModelWritten
Anthropic, generator claude-sonnet-5-5; none sits in a Test group. Test is eight
one-sentence excerpts (Soseki, Kyoka, Akutagawa, Ogai, Arishima, Kenji, Kajii, Kunikida)
taken from the card ruby zips (cp932, ruby and the pipe marker dropped, NFC) and checked
verbatim against each card's XHTML file; licence strings keep 底本, 入力 and 校正 within
the store's 200-byte cap. Entities appended (keeper gains 番人; eight pd-* authors).
Items 1..28 and holdout:1..8 unchanged (digest pinned). Tests per language: counts,
provenance, Test public-domain only, no markup, panel round reads both languages, speaker
forms, recall 56, no Test text in any prompt.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 13:51:06 +00:00
9f203a5604 Merge pull request 'ja-panel-loop: language is the item's, the panel the run's; panel accept rule' (#49) from weksa-lowering/ja-panel-loop into main 2026-11-12 13:51:04 +00:00
Weksa
a1c1d9d599 Map: the regression test runs per language; decide adds the gain test for one language
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 13:50:48 +00:00
Weksa
f05906b1f7 Pin the panel sum rule's liveness, fix stale Ladder docs, name the composite verdict in the map record column
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 13:34:48 +00:00
Weksa
edb7fff339 Accept rule: composite tolerance back in the one regression test, panel accepts on a composite sum past one step; bound 1.5 L / LADDER_STEP
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 13:25:36 +00:00
Weksa
379c69eb06 decide owns the composite rule: no composite falls, non-finite readings fail closed; decide_panel only aggregates
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 13:11:22 +00:00
Weksa
14e94d4cb8 decide_panel rejects a composite fall past its floor; pin cycle floors, ablation, offer, recall and the ja-JP no-text check; drop the redundant tag branch
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 12:58:09 +00:00
Weksa
21eaa078d8 Dao test-bed doc: corpus add names its language
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 12:35:02 +00:00
Weksa
9e4486b789 Panel tests: each item lowers in its own language, per-language means, floors and feedback, bad panels, unspaced recall
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 12:34:53 +00:00
Weksa
3e4b035be6 Loop tests follow the panel: en-US panel in every fixture run, per-language reads, recall at word boundaries
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 12:29:23 +00:00
Weksa
167ce83cfc Loop: lower each item in its own language, read and decide Validation per panel language
Prompt::lower takes the language; RunRecord carries the panel; RoundRecord and
Decision hold per-language readings (pooled keys retired); decide_panel is
Pareto non-regression over decide(); recall splits at UAX #29 word bounds.
Integration tests follow in the next commit.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 12:22:26 +00:00
Weksa
b83929d4d2 Map: cut 9 ja-panel specced as ja-panel-loop and ja-panel-corpus; panel rows in Loop round and decision
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 12:16:19 +00:00
e9cbd9bbfd Merge pull request 'Lows: show-working allowlist and Display, edition_year meaning' (#48) from weksa/lows-remaining into main 2026-11-12 09:46:55 +00:00
Weksa
ff3261a50f Lows: show-working publishes by allowlist and prints Display, edition_year says first appearance
The split guard failed open on any new split name; it now allows Train and
split-less items only. The page printed Debug of Refusal/StoreError and the
EntityRead store message; it prints Display and a fixed line. edition_year
held the first-appearance year of the work or translation, not the page read:
the doc comment and published schema say so.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-12 09:46:50 +00:00
4298edf984 Merge pull request 'Encode prompt: participants are node ids, never an entity id' (#47) from weksa-lowering/encode-participants into main 2026-11-10 19:28:04 +00:00
Weksa
707e0204bf Encode prompt: participants are node ids, never an entity id
Both bad-form refusals in orig-5 put the speaker entity (entity:keeper) in
context.participants. One sentence, pinned by a plain test; no new rule.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 19:27:48 +00:00
4cbd46d12c Merge pull request 'Stance ablation beside recall; lowering prompt pinned to the stance; grade scale stated' (#46) from weksa-lowering/stance-to-lowerer into main 2026-11-10 19:26:56 +00:00
Weksa
e8a9bbc5ab Ablation reads none for an empty set, pins its line, names a missing round answer
Soul s1 findings: an empty mean printed 0.00 beside n=0 (now Option, printed
none, like SplitMean); the printed line and whole ablate output are pinned by
exact string, with drop and permute each carrying their own n; a missing
recorded round answer is RunError::Unrecorded and says the prompt digest
drifted or the head inventory moved, not that a store would not read; the
unusable count is pinned for variant and item sides.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 19:01:24 +00:00
2d65239cbc Merge pull request 'data/original gets a Test split: 8 public-domain excerpts with full provenance (ModelWritten stays out of Test)' (#45) from weksa-lowering/corpus-test-holdout into main 2026-11-10 18:51:29 +00:00
Weksa
00feb1d310 Lowering brief states the grade scale
LOWER_INSTRUCTIONS gains 'a grade is permille, 0 to 1000' (the encode brief
already states it). The pinned lowering test requires the sentence and asserts
the item's speaker entity id and group are in no prompt text.

This edits context.rs, a PROMPT_SOURCE_DIGEST input: the digest moves and runs
opened before this commit stop opening; open a fresh run to ablate under the
new brief.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:28:14 +00:00
Weksa
633bf831dc Pin that the lowering prompt moves with the stance alone
One dao packet admitted with its own stance, an anger-and-restraint stance and
none: three digests, each packet line ending in exactly that stance's JSON, the
rest of the text byte-equal, the stance features glossed in the one inventory
listing. No prompt change; the lowerer already reads the stance.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:27:23 +00:00
Weksa
e0e3c93d97 Stance ablation: replay, drop and permute a packet's stance beside recall
RecordedAnswers is the one reader of <digest>.answer files (AnswerFiles reads
through it). RunStores::stance_ablation asks a fresh lowerer the round's own
lowering prompt again (replay), with the stance emptied (drop) and with the
next item's stance in its split (permute), for live Train and Validation
packets only, and reads how far the lowering moves and what the item's own
stance adds to fidelity. A diagnostic in <root>/ablation-<n>: records nothing,
never writes round-<n>. `weksa loop ablate <root> --round n`; exits 3 until
answered. Touches no pinned prompt-source file.

The source tripwire now allows the ablation as a second Prompt::lower call site.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:26:31 +00:00
Weksa
e7aef81309 data/original: 8 public-domain Test items with full provenance; Test held out of rounds and recall
Eight one-sentence English excerpts from Dhammapada (Muller), Walden, Emerson,
Bacon, Aesop (Townsend), Mill, Plato (Jowett), Darwin, each taken from the
exact Project Gutenberg page named in edition_url and checked verbatim against
the fetched text. Groups hash into Test (buckets 83-97); split.rs untouched, the
ModelWritten-never-in-Test rule stands. Items 1..28 are byte-identical (digest
pinned). Tests: counts Train/Validation 14/14, Test 8 all PublicDomain; no Test
text in any round-1 or recall prompt or RoundRecord over data/original; a
ModelWritten item in a Test group is read in no split.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:24:37 +00:00
da6bc7aa14 Merge pull request 'Widen data/original: 22 more model-written passages (14 Train, 14 Validation); recall test pinned to live items' (#44) from weksa-lowering/corpus-widen into main 2026-11-10 18:16:48 +00:00
b273be1a22 Merge pull request 'Pin parse-reason codes; show-working guard checks the split; no Debug of errors in the page' (#43) from weksa-lowering/codes-guard-lows into main 2026-11-10 18:09:54 +00:00
Weksa
32368a998e original_corpus: recall probes only live Train/Validation over a fixture with withdrawn, model-written-Test and public-domain-Test items
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:09:47 +00:00
Weksa
d4c72c54aa show-working guard: reject Validation/Test items by split before writing
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:04:40 +00:00
Weksa
073b022c8a original_corpus tests: counts over 28 items, first six pinned, recall shows only live items
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:04:37 +00:00
Weksa
9f8ae13a12 original corpus: 22 new model-written items through the corpus door (Train 14, Validation 14)
Items original:7..28, written for the non-memorised target; groups chosen so
the V1 split derives Train or Validation. Test is not filled: a model-written
item of a test group is in no split (split.rs), so none can be held out.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:04:37 +00:00
Weksa
76984ecd71 show-working: refusal carries the closed reason only, no Debug of LowerError
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:03:47 +00:00
Weksa
829559bbc3 Pin every DraftClass code string; feed Other real serde errors
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 18:03:26 +00:00
d2cab1fd93 Merge pull request 'Refusal-reason Lows: own_family pinned to offered items, --answerer-family pinned, class closure pinned; encode prompt says a concept is never null' (#42) from weksa-lowering/refusal-reasons-lows into main 2026-11-10 18:01:01 +00:00
2f6a9673e6 Merge pull request 'Show her working: public page of the lowering chain, from the real lowerer and scorer' (#15) from weksa-page/show-her-working into main 2026-11-10 17:43:20 +00:00
Weksa
7ee9d73c72 Encode prompt: a referent's concept is never null
Both parse refusals in the original-corpus round (runs/orig-3) were a null
referents[].concept; the prompt gave 'or null' to entity, setting, medium and
addressee and never said concept could not be. One sentence, pinned by a test.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 17:34:44 +00:00
Weksa
1a7be12374 Show-working page: lower_error covers main's four new LowerError variants; data.json publishes only fixture-cited corpus items
The example's match lacked UnknownPhone, DanglingStress, ConsentMissing and
AskerNotAddressee (E0004). build.py dumped every split into data.json, which
would have published a Validation item; it now keeps the fixtures' cited items
and fails if the written data.json holds any other item key.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 17:34:43 +00:00
Weksa
99cf0cb39f Remove rustfmt diffs the parse-reason cut added to run.rs and tests
Only hunks on lines that cut changed; import ordering and older code untouched.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 17:33:53 +00:00
Weksa
99286d3892 DraftClass: split the data-message reader out and pin each class with a real serde error
serde_json exposes no kind for a data error, so the prefix reader stays as
DraftClass::of_data; the test feeds each class a real answer and an unknown
message to Other.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 17:33:53 +00:00
Weksa
ff60a34cbd Merge origin/main (0d5dfe5) into weksa-page/show-her-working 2026-11-10 17:32:23 +00:00
Weksa
1a20c977e0 Pin own_family to offered items and loop open --answerer-family with tests
Mixed-family corpus fixture (Anthropic, OpenAi, Unrecorded, PublicDomain,
cast, a Test-group model item, a withdrawn item) and a CLI test reading the
run record after `loop open`.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 17:31:56 +00:00
0d5dfe53cf Merge pull request 'Round records and lines carry parse refusal reasons and an own-family label' (#41) from weksa-lowering/parse-reason into main 2026-11-10 17:28:08 +00:00
Weksa
2759c0f12d Round records carry a closed reason for every parse refusal and an own-family count
DraftClass (closed set from serde's category and leading words, never the
message) rides on DraftError; the round counts parse_reasons by code
('unreadable' for an answer that did not read as text) beside admit_rules.
RunRecord keeps the answerer's ModelFamily (loop open --answerer-family);
the round counts offered ModelWritten items of that family and the line
says own-family N. The corpus rule is documented as binding model judges:
the loop labels, it does not forbid. New fields and admit_rules are
cultcache default, so older run.cc records decode; schemas regenerated.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 17:05:07 +00:00
Weksa
2259b9f8c3 WIP (does not build): DraftClass on DraftError; create() call sites take a ModelFamily argument
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 14:26:14 +00:00
aa6385edc3 Merge pull request 'Original corpus for a non-memorised target; recall probes every item; encode prompt states the id form' (#40) from weksa-lowering/encode-id-form into main 2026-11-10 14:24:16 +00:00
Weksa
5ebdb3cff4 Soul s2 lows: the id-form test lists a real inventory; the floor reads 14 to 20
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 14:24:15 +00:00
Weksa
3d3ca915ea Encode prompt states the id form; recall line states the real chrF floor; probe test over data/original
Five of six encoders in the first original-corpus round wrote bare integer ids and
were refused at parse (encoder-prompt-concept-ids). The prompt now says ids are
written in full with their family prefix. Soul s1 on the original corpus: unrelated
English scores chrF 13 to 18, not near 0, so the recall line says so; a test runs the
probe over the real original items.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 14:21:31 +00:00
Weksa
1c08b2abac Original corpus (data/original): six passages written for the non-memorised target; recall probes every live item
Six short original sentences, model-written (Anthropic, claude-sonnet-5-5) and so
labelled, three Train and three Validation, over the Dao revision-3 inventory and
one live entity. The recall probe now covers every offered item, naming the work
only for a public-domain one, so it can show the original set reads near the
guessing floor.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 14:18:28 +00:00
31375b703a Merge pull request 'weksa loop recall: a recitation probe for public-domain items; admit_rules not required in the round schema' (#39) from weksa-lowering/recall-diagnostic into main 2026-11-10 14:15:29 +00:00
Weksa
0ead162d8e Recall tests: mean over every probe, unreadable answer scores 0, written and withdrawn items are not probed
Soul lows: the mean-to-max, skipped-for-0 and withdrawn-gate mutants survived.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 14:15:27 +00:00
Weksa
d954cfb9e9 weksa loop recall: a recitation probe for public-domain items; admit_rules not required in the round schema
Each live public-domain Train and Validation item is offered to a model by its
opening alone and the completion is scored by chrF against the item's second
half (lowering-recall-diagnostic). Answers live in <root>/recall; the reading is
printed, recorded nowhere, never a gate. The round schema stops requiring
admit_rules, which older records lack.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 14:12:30 +00:00
cbcfed6ede Merge pull request 'Round record names the admission rules that refused items' (#38) from weksa-lowering/admit-reason into main 2026-11-10 14:08:47 +00:00
Weksa
d502cb396a Admit rules are a set: one count per item per rule, pinned by a packet that breaks V5 many times
Soul s1 low: the per-item dedup was unpinned. A BTreeSet makes it structural.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 14:08:46 +00:00
Weksa
c527d0eb08 RoundRecord names the admission rules that refused items; the round line prints them
admit_rules (key 18) counts, over both splits, each rule an admission refusal
broke: validator codes (V2, V5) or a store refusal's variant name. Rule codes
only, no identifiers or text. The printed line gains admit-rules=... before the
lowerer-reach label.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 14:05:13 +00:00
3df878f4fa Merge pull request 'Lows: summary_line leaves the public surface; lowering bound pinned in bytes, CR refused' (#37) from weksa-lowering/golf-loop-first-round into main 2026-11-10 14:00:06 +00:00
Weksa
00250088a8 Lows: summary_line leaves the public surface; lowering bound pinned in bytes, CR refused
RoundRecord and Decision no longer expose an unlabelled summary_line; the only
public spellings are RunStores::round_line and cycle_line, which label with the
run's lowerer reach. The lowering bound tests now kill the chars-for-bytes and
CR-allowed mutants.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 13:58:28 +00:00
23bfb02593 Merge pull request 'golf-loop-model-lowerer: a Claude session lowers each packet behind the model port; the template lowerer leaves the loop' (#36) from weksa-lowering/golf-loop-model-lowerer into main 2026-11-10 09:47:43 +00:00
Weksa
b569028f48 Soul s1 fixes: pin the lowerer reach, bound lowering text, pin the build refusal and the I/O discard
RunRecord key 12 LowererReach set by a required --lowerer-reach flag and
shown in round and cycle lines. PROMPT_SOURCE_DIGEST covers packet.rs.
Lowering text is refused when blank, over 4096 bytes or holding a control
character. Unanswered lowering digests are listed once. Tests for the
Prompt::lower build refusal and the packets.cc discard after a port error.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 09:32:28 +00:00
Weksa
74ebafbc65 The round lowers through the ModelPort: Prompt::lower over a LoweringInput, two answer phases
run::score_round no longer calls lower::lower. Prompt::lower prints the
meaning of an admitted view, en-US entity forms and the inventory at the
view's revision, and no item text, key, group, speaker or packet key. The
answer is a LoweringDraft {text}, held in score_round's locals and scored,
never written to run.cc, a RoundRecord, a Decision or EditFeedback. A round
or cycle asks every encode prompt, then every lowering prompt, all or
nothing. An entry an edit adds can now be lowered.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 09:18:38 +00:00
Weksa
3b7a6803bc Retire the lowerer source pin: one prompt pin over context, split and lower
Deletes LOWERER_SOURCE_DIGEST, DriftOf::Lowerer, RunRecord key 7 and
RoundRecord key 3 (retired, never reused). PROMPT_SOURCE_DIGEST now covers
lower.rs, which the lowering prompt will read. Schemas regenerated.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 09:10:56 +00:00
3bdfb514ae Merge pull request 'Round-digest lows 2: length-framed source digest, lock cleanup, honest drift text, window tests' (#35) from weksa-lowering/round-digest-lows-2 into main 2026-11-10 08:56:20 +00:00
69e1f0dda3 Merge pull request 'Speaker-scene lows: with_scene enforces scene coverage at read, one owner' (#34) from weksa-lowering/speaker-scene-lows into main 2026-11-10 08:54:49 +00:00
Weksa
7a803f5cb5 Pin the read-side coverage filters; V16 says the scene covers every live speaker of the group
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 08:54:28 +00:00
Weksa
de46ced9ea Round lows 2: length-framed prompt source digest, refused create takes its lock, Prompts drift text, window pins for entities and head, one-write asserts Accepted
Recorded prompt digests change with the framing (they drift by design).

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 08:40:35 +00:00
Weksa
da407e23af Scene coverage has one owner, Scene::uncovered, applied at put and at with_scene
with_scene now takes the corpus store and refuses (V16) a scene that no longer
lists the speaker of every live item of its group.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 08:40:17 +00:00
e93862a57f Merge pull request 'Round lows: split.rs joins the prompt source digest, stores re-checked after open' (#33) from weksa-lowering/golf-loop-round-lows into main 2026-11-10 08:36:12 +00:00
5a125fef4e Merge pull request 'Checkpoint-gate lows: pin the once rule and the elide branch, escape line breaks in item text' (#32) from weksa-lowering/checkpoint-gate-lows into main 2026-11-10 08:23:34 +00:00
Weksa
af35f72004 context: pin every line separator in item text with its own splitter
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 08:23:18 +00:00
Weksa
c1c19cc848 Run pins: prompt digest covers split.rs; stores are re-pinned after they open, so digest and open cannot straddle a change
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 08:22:12 +00:00
069820b323 Merge pull request 'One-write seam: pin 'accept is one batch' by behaviour, delete the source-text tripwire' (#31) from weksa-lowering/one-write-seam into main 2026-11-10 08:19:05 +00:00
Weksa
0b2f6ce43b context: item text cannot forge a prompt line or block; pin interleaved re-offers, long shared-prefix ids, near-prefix held turns
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:59:59 +00:00
Weksa
caaa3b0650 Accepting is one write, pinned by a store that refuses its second write
Delete the source-shape tripwire for one put_prepared_batch; run_cache_over
lets a unit test run cycle over a CacheBackingStore failing write 1 or 2:
the round and the decision land together or not at all.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:55:11 +00:00
Weksa
60e9cfca87 context: pin the once rule per key and for Train, the held-turn key equality, and item text inside its block
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:53:44 +00:00
f14d9d1592 Merge pull request 'golf-loop-edit-accept: a Train-only editor proposes an inventory edit, a candidate round scores it, a noise-floor rule accepts or rejects on Validation' (#30) from weksa-lowering/golf-loop-edit-accept into main 2026-11-10 07:50:03 +00:00
377adae7e9 Merge pull request 'Clippy: name the predication tuple, box PutArgs' (#29) from weksa-lowering/clippy-lints into main 2026-11-10 07:50:02 +00:00
Weksa
5f97aad6a2 run: create removes the inventory copy when a later step fails
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:49:15 +00:00
Weksa
592dbd7e67 test: pin decide's chrF tolerance to billionths on two-decimal pairs
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:49:15 +00:00
Weksa
c61ef8b7ea cycle: drop the redundant verdict field the base literal already supplies
The mutant that deleted it was equivalent; the line is the cut.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:18:59 +00:00
Weksa
cd4295632a Map: create refuses an existing inventory.cc; decide compares in billionths
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:11:45 +00:00
Weksa
52e7c44990 rustfmt the new tests
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:11:04 +00:00
Weksa
c28f1fbb13 Pin the one-write accept: an injected run.cc write failure leaves neither round nor decision; tripwire on a second write
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:10:43 +00:00
Weksa
59fdd7fec7 decide: compare readings in billionths, so a gain of exactly one LADDER_STEP is no gain on every baseline
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:10:43 +00:00
Weksa
f1fc31e420 cycle: every rejection removes a stale candidate inventory an earlier attempt built
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:10:43 +00:00
Weksa
b0321fe487 Pin the last-edit word to the latest decision: a reject after an accept is told as rejected
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:10:43 +00:00
Weksa
467ce98ea0 Pin the head to the latest accept: two accepted cycles, the third builds on the second
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:10:43 +00:00
Weksa
d02029c8b8 Pin the Ladder release: a rejected candidate's score never reaches the editor, only the stepped head's
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:10:43 +00:00
Weksa
20ca3aaae5 Pin the noise floor: distinct replicates set the per-field and composite spread, and a gain inside it is no gain
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:10:43 +00:00
Weksa
afe1a1b434 create: copy the inventory with create_new, so a root that holds inventory.cc refuses and never truncates it
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 07:10:43 +00:00
Weksa
1c1fd3cf10 Clippy: name the predication tuple, box PutArgs in EntityCommand
Clears type_complexity in daodejing.rs and large_enum_variant in main.rs.
RoundOutcome's large_enum_variant in run.rs is left for golf-loop-edit-accept, which rewrites that file.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 06:23:09 +00:00
Weksa
ae384ee928 Map and README: the edit-accept cycle, the Decision row and the loop's live surface
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 05:11:06 +00:00
Weksa
ae8deb1e03 weksa loop cycle: a Train-only editor proposes an inventory edit, a candidate round scores it, a Ladder-stepped noise-floor rule accepts or rejects on Validation
Reading, decide and LADDER_STEP are pure; Decision (weksa.loop_decision) holds
digests and numbers; the latest Accepted decision names the run's head. The
candidate round and its decision are one batch put.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 05:10:47 +00:00
Weksa
a8918c6ff1 EditDraft and EntryDraft: the editor's JSON read once, ids and revisions the store's
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 05:03:33 +00:00
Weksa
6d17f45ca2 The mint prompt becomes the editor's: Train blocks, the inventory listing and an EditFeedback line, nothing from the held-out split
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 05:02:42 +00:00
Weksa
fc52f3d3a4 RoundRecord keys 16 inventory_digest and 17 cycle; round becomes the drift check, score_round and one put
An encode answer the port reports as InvalidData is that item's Refused(Parse),
not an aborted round.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 05:01:18 +00:00
Weksa
a14bcaf9f8 The run stops opening the caller's inventory store: create copies it to <root>/inventory.cc and pins its digest (key 11)
RunRecord.inventory is provenance only; open refuses Drift(Inventory) when the
run's own file differs. A run.cc from before has no key 11 and its open fails.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 05:00:34 +00:00
7b407fdd13 Merge pull request 'golf-loop-round: the smallest loop that scores one round end to end' (#28) from weksa-lowering/golf-loop-round into main 2026-11-10 04:42:53 +00:00
Weksa
2425030fe3 Pin the round-start discard: a stale packets.cc and lock in an unrecorded round dir do not refuse a revised draft
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 04:41:02 +00:00
Weksa
a014fc3f87 Pin the scored counts of the Dao round
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 04:15:57 +00:00
Weksa
3e1e1a07da Fix the golf_loop test that did not compile in the previous commit
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 04:15:00 +00:00
Weksa
fd0c3b0edb Round: means count a refused item as 0, a failed round discards its packets, the round line is pinned
Validation and Train means are over every item of the split with scored counts
beside them, so refusing a weak item cannot raise a mean. A round that fails
before its record is put (embedder down) removes its packets.cc, and a round
starts from none, so a rerun with revised answers is not refused as a changed
packet. RoundRecord::summary_line owns the printed line and is pinned with exact
values. The RoundRecord compile_fail doctest gives every field and fails on
E0451, with its twin literal in a lib unit test.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 04:14:39 +00:00
Weksa
8ac92f5af3 Kill the mutation survivors: error texts, unreadable files, the second round's number
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 04:04:36 +00:00
Weksa
db543840a6 weksa loop open|round: pin a run's stores, run one round, print one line
Round reads its stores only from the run record; prompts without answers are
written to the round directory and the command exits 3. Map line 7b records
what landed and what the follow-ups still own.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 03:51:18 +00:00
Weksa
49879000f7 run::round: a pinned run encodes Train and Validation, admits, lowers, scores and records the round
encode.rs reads a model answer into a PacketDraft (the one JSON door for
models) and the encoder step sets everything the model does not write. round
asks every offer first and writes nothing while any prompt is unanswered, then
admits into the round's own packets.cc, lowers, scores in one call and keeps a
RoundRecord with Train rows and Validation only as means and refusal counts.
The Dao stores reproduce the base scores (Train 44.18, Validation 78.56).

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 03:50:04 +00:00
Weksa
77d8b13952 ModelPort and AnswerFiles; the encode prompt lists the live inventory and has a digest
The encoder's instructions are written, Prompt::encode takes the run inventory
and revision, and Prompt::digest names a prompt for AnswerFiles: a prompt with
no answer file is written to <digest>.prompt and nothing else happens.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 03:47:24 +00:00
Weksa
e7b4d9a68b RunStores is the one public producer of TrainItems and EncoderOffer: a run pins its corpus and entity stores by digest
TrainItems::from_corpus and EncoderOffer::for_round become pub(crate). RunStores
(run.rs) creates a run over three stores, records their canonical paths and
FNV-1a 64 digests plus the prompt and lowerer source digests in run.cc, and
reopens only from that record, refusing on drift. RunRecord and RoundRecord are
published CultCache types. tests/context.rs and the context.rs doctests move to
RunStores; the two mutated-clone gate cases become a unit test.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 03:45:49 +00:00
2be0a35ae7 Merge pull request 'speaker-scene: weksa.speaker and weksa.scene documents, with_scene reads the store' (#26) from weksa-lowering/speaker-scene into main 2026-11-10 03:26:05 +00:00
Weksa
eff94fb4af Pin LoweringInput::of's privacy with the right arity; scene() doc points to scene_read()
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 03:25:44 +00:00
Weksa
bb152d02ce with_scene records what it read: SceneRead says no scene, no addressee, self-addressed, no relation or selected at a revision
The view no longer collapses five cases into one empty feature list. Scene::relation
returns None for an absent relation. Pins the item speaker over the first
participant and V16 without an addressee.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 03:10:21 +00:00
Weksa
e96acf97a5 Merge origin/main (checkpoint-gate) into weksa-lowering/speaker-scene
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 03:08:53 +00:00
7a8ffbea1e Merge pull request 'Checkpoint gate: Test readings need a Checkpoint nobody outside tests can declare; fixed instructions; context lows' (#27) from weksa-lowering/checkpoint-gate into main 2026-11-10 03:05:13 +00:00
Weksa
62059337a3 Door scan: say it is a line-based tripwire and what it misses
Docs only; no behaviour change.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 03:04:48 +00:00
Weksa
7a33a8d70f Map: say what the Checkpoint gate guards (7a)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:59:40 +00:00
Weksa
43f2e118f2 Checkpoint: offers borrow it; door pinned by source shape; doc states the real guard
EncoderOffer<'cp> borrows its Checkpoint so a Test offer cannot be encoded
after the reading spends it. tests/checkpoint_door.rs scans split.rs for any
public minting item under any name. The split.rs doc says operator tools read
corpus text and the guarded invariant is the round path.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:59:11 +00:00
Weksa
71e6058b64 with_scene reads the item's speaker and group scene from the store; V17 addressee names a referent
The view keeps its corpus item's speaker and group (LoweringInput::of takes
the item; admissible is gone), and with_scene takes the SpeakerStateStore, so
neither speaker nor scene comes from the caller and only admitted scenes
reach a view. An addressee that names a predication is refused as V17.
Pins scene numbering per group and the no-fallback case for a named
addressee outside the participants; tests/scene.rs fixture now speaks as the
item's speaker.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:51:35 +00:00
Weksa
3d83ba5fd2 Map: checkpoint-gate lines (7a, 7, 11)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:43:36 +00:00
Weksa
d5b11088ad Checkpoint offers each item once; prior turns print the held Train text
for_checkpoint takes &mut Checkpoint and refuses a repeated key
(OfferedAtCheckpoint) after the gate; TrainItems::held replaces holds and block
prints the matched Train item's text; the text-key fold is pinned against the
store's own S6 refusal.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:43:31 +00:00
Weksa
469e46cbc5 Cut: Checkpoint has no public constructor; instruction text is consts
Checkpoint::declare becomes cfg(test) for_test; Checkpoint-using tests move
into src unit tests over split::fixture; Prompt::mint and encode lose the
instructions parameter (MINT_INSTRUCTIONS, ENCODE_INSTRUCTIONS in context.rs).

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:42:02 +00:00
Weksa
6ef1b7e034 Speaker and Scene documents, SpeakerStateStore, with_scene on a Scene document
Slot Speaker, weksa.speaker and weksa.scene append-only revisions in one
store, V16, feature_refusals as the one feature check, speaker_scene_revision
(Speaker features 22-24), schemas, docs and map lines. Part 1 of map cut 4b.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:34:10 +00:00
Weksa
0b62d2f3b4 Retire V13 and with_scene's raw door; Stance and Scene features sit in one slot
with_scene is removed until it takes a Scene document (next commit); V13 goes
with it. Slot exclusivity becomes a rule of InventoryEntry::well_formed, so
FEAT_ALL leaves Stance and its stance duplicate case goes (ANGER pins V11 in
Stance). tests/scene.rs is deleted and rewritten on Scene documents later.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:29:51 +00:00
ee3a3c3404 Merge pull request 'Map: speaker-scene facts, persona-state question, 4b/4c' (#24) from weksa-lowering/speaker-state-cut into main 2026-11-10 02:27:35 +00:00
Weksa
109276cac4 Merge remote-tracking branch 'origin/main' into weksa-lowering/speaker-state-cut 2026-11-10 02:27:24 +00:00
6f68c18f01 Merge pull request 'Context builder and checkpoint-only Test readings (cut loop-context-builder)' (#25) from weksa-lowering/loop-context-builder into main 2026-11-10 02:27:02 +00:00
Weksa
35b32b9639 Prior turns print only text a live Train item of the group holds; pin the Train union against withdrawn items
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:23:29 +00:00
Weksa
c1d530ccea context tests: pin TrainItems len and is_empty and the empty mint
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 02:08:45 +00:00
Weksa
b0b5728f07 Map: cut 7a loop-context-builder; item 3 names the checkpoint-only Test path; item 7 drops the context builder
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 01:57:47 +00:00
Weksa
3bd4a37645 context module: TrainItems, EncoderOffer and Prompt are the only road from corpus text to a model call
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 01:57:40 +00:00
Weksa
a6dd52774a Checkpoint and TestReadings: Test is read only at a declared checkpoint, scalars only
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 01:56:29 +00:00
Weksa
ce0208f0d0 Read every split by SplitScheme::live; CorpusItem::cited_entities owns the cited id set
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 01:55:55 +00:00
Weksa
45071fe346 Delete Aggregate.test and LeakDiagnostic: the round path reads no Test
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 01:54:47 +00:00
Weksa
ba52b01069 Map: speaker-scene facts — current seed, persona-state question, 4b/4c
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-10 01:47:39 +00:00
5e10d7cd51 Merge pull request 'S6 residue: lone marks get the marks-only reason, katakana ヷ-ヺ fold, İx/i̇x collide again' (#22) from weksa-lowering/residue-s6 into main 2026-11-09 11:15:51 +00:00
Weksa
a59d0a5e3c S6 key: drop the dot above i before the last NFKC so following marks compose; test the guard with j (Soul s22)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 11:15:46 +00:00
Weksa
85e11bf52a Merge remote-tracking branch 'origin/main' into weksa-lowering/residue-s6 2026-11-09 11:15:03 +00:00
42e72d66f9 Merge pull request 'Errors stop echoing identifiers: LowerError/Refusal Display, clap errors' (#21) from weksa-lowering/residue-echo into main 2026-11-09 11:14:53 +00:00
Weksa
169647ba9c Merge remote-tracking branch 'origin/main' into weksa-lowering/residue-echo 2026-11-09 11:14:41 +00:00
1c9bf3df3a Merge pull request 'Test: request_gate reads the agent role by gloss (kills the cargo-mutants survivor at lower.rs:286)' (#20) from weksa-lowering/residue-surv into main 2026-11-09 11:14:37 +00:00
Weksa
d933a3942a Delete clap rewrite arms no CLI flag can reach (Soul s21 low)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 11:14:26 +00:00
Weksa
461f4f8126 Error text stops echoing identifiers: fixed Display for LowerError and Refusal, clap unknown-argument/subcommand rewrite, pronunciation-language echo pinned
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 11:11:12 +00:00
Weksa
8c94838c30 S6 key: voiced katakana ヷ-ヺ fold, dot above after i drops (İx = i̇x); marks-only text gets the base-letter reason first
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 11:10:23 +00:00
Weksa
a300a1ce9e Test: the asker is the role glossed agent, not the first role (kills request_gate survivor)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 11:09:46 +00:00
8fd1f5b3be Merge pull request 'Corpus intake lows 2: S6 folds, CLI errors stop echoing identifiers, --admitted-on is a date, marks-only text refused' (#19) from weksa-lowering/corpus-intake-lows-2 into main 2026-11-09 11:04:10 +00:00
Weksa
3a56d3180f Tests: pin the 100-year rule, day 0, ASCII-only digits in dates, and the ヶ fold (Soul s19 survivors)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 11:03:58 +00:00
Weksa
2ce6325b70 Test: pin the modifier-letter table to the toolchain's Unicode version
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 10:44:53 +00:00
Weksa
3cf499dbd4 Merge remote-tracking branch 'origin/main' into weksa-lowering/corpus-intake-lows-2 2026-11-09 10:43:04 +00:00
Weksa
453b3d6c2f Corpus intake lows: S6 folds dotless i, kana and Arabic-Indic digits; CLI errors stop echoing identifiers; --admitted-on is a calendar date; marks-only texts refused
FormError and StoreRefusal display no caller identifiers; clap value errors name the flag and reason only. One is_calendar_date serves admitted_on and the pronunciation date. A text with no base letter or digit (Lm or M only) is refused beside the no-alphanumeric refusal; modifier_letters.txt is the Lm table its test walks.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 10:42:48 +00:00
860c714a1f Merge pull request 'Dao De Jing test bed: PublicDomain provenance fields, Legge slice, first golf-loop number' (#10) from weksa/dao-de-jing-test-bed into main 2026-11-09 10:22:55 +00:00
Weksa
34ce2dc413 Merge origin/main (fd18056, phones line) into weksa/dao-de-jing-test-bed
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 10:19:37 +00:00
Weksa
8a78761a7a Merge origin/main (2308b91) into weksa/dao-de-jing-test-bed
Main's proof revision owns concept:6 and frame:3; Dao ids renumbered to
start at concept:7 and frame:4 (daodejing.rs, lower.rs rows).
data/daodejing inventory.cc and packets.cc regenerated with weksa inventory
seed/proof/dao and weksa packet dao.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 10:16:22 +00:00
fd18056b5b Merge pull request 'Phone inventory, segmenter and weksa lower --phones (the Weksa->AquaSynth phones line)' (#16) from weksa-lowering/phones-line into main 2026-11-09 10:15:50 +00:00
Weksa
9ab3274af1 Merge origin/main into weksa/dao-de-jing-test-bed
lower.rs: keep main's frame:2 (agent will stop patient), keep PR frames 3-7.
daodejing.rs: Discourse gains addressee_consent (packet schema v5).
tests/daodejing.rs: lower takes the entity port.
data/daodejing/packets.cc regenerated with weksa packet dao.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 10:15:10 +00:00
Weksa
0ca9b5ebfe Merge main into phones-line (keeps both LowerError sets and both test groups)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 10:13:36 +00:00
2308b91fea Merge pull request 'Consent-gated request row: 'You asked Nibu to stop.' lowers only when the packet carries addressee consent' (#18) from weksa-body/consent-gated-asked-her-row into main 2026-11-09 10:12:23 +00:00
Weksa
53e54148e0 Test: consent to one of two requests leaves the other unconsented (Soul low)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 10:12:01 +00:00
Weksa
0bf9499ac0 Lower 'You asked Nibu to stop.' behind addressee consent: request concept and frame:3, consent gate in the lowerer
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-09 10:07:52 +00:00
weksa
ec38d01f2f Merge remote-tracking branch 'origin/main' into weksa-page/show-her-working-wt 2026-11-09 09:12:00 +00:00
2a46b067d9 Merge pull request 'Packet carries an addressee-consent fact (schema v5, V14, V15)' (#14) from weksa-packet/addressee-consent into main 2026-11-09 09:11:54 +00:00
96a6630fac Merge pull request 'Scorer coverage: words break at any non-word character; unspaced scripts read by run; near-miss chrF pairs per script' (#17) from weksa-lowering/scorer-coverage-scripts into main 2026-11-09 09:11:04 +00:00
Weksa
a7bc2478e5 Phone inventory: name /i/ tense, /ɪ/ lax and cite Nibu's 2026-11-07 ruling
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-08 01:10:09 +00:00
Weksa
5508000d21 Phone inventory, segmenter and weksa lower --phones
data/phonology/en-US.phones.tsv lists the phones (tense/lax a column); the
segmenter splits ruled IPA into {ipa, stress} by longest inventory match and
refuses a symbol it does not list (LowerError::UnknownPhone) or a stress mark
with no vowel (DanglingStress). No durations, pitch or acoustics.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-08 01:04:03 +00:00
Weksa
a5c6392b4e Fixture: the phones line for Nibu's name (n, i primary, b, u)
The expected `weksa lower --phones` output for the proof packet, committed
before the code that must produce it.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-08 01:02:20 +00:00
Weksa
17f44144a5 Show her working: static page of the lowering chain from the real lowerer and scorer
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-08 00:50:39 +00:00
Weksa
81572b1a54 Packet carries an addressee-consent fact (schema v5, V14, V15)
Discourse.addressee_consent names the predication the addressee asked for or
agreed to. V4 checks it resolves, V14 needs an addressee and a predication,
V15 allows only Authored or GameTelemetry sources. The English lowerer renders
no consent and refuses a packet carrying one.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-07 22:04:59 +00:00
Weksa
5eb58c3100 Dao De Jing test bed: PublicDomain provenance fields, Legge slice, first golf-loop number
Source::PublicDomain now requires licence, jurisdiction, translator and
edition_year; the store refuses an item missing any. data/daodejing holds
five Legge items (Gutenberg 216, no Gutenberg matter stored), inventory
revision 3, five packets with stance, and the lowerer rows to render them.
docs/targets/dao-de-jing-test-bed.md reports the first closeness number and
what the scorer cannot see.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-11-07 02:10:10 +00:00
120 changed files with 27787 additions and 1796 deletions

1
.gitignore vendored
View file

@ -22,3 +22,4 @@ build/
.venv/
venv/
target/
tools/show-working/out/

View file

@ -1,27 +0,0 @@
# Cultural Ontology CultCache Seeds
This directory stores Weksa cultural ontology as CultCache `.cc` witnesses.
## Starter Database
- `starter-targets.cc`
This store contains one catalog entry and three draft guarded profile entries:
- `weksa.cultural_ontology.pt-BR.vanilla_brazilian.v0`
- `weksa.cultural_ontology.en.transatlantic.v0`
- `weksa.cultural_ontology.ja-JP.kanto.contemporary.v0`
The catalog entry is:
- `weksa.cultural_ontology.catalog.seed_targets.v0`
The `.cc` file is the typed state witness. This README is only an inspection
guide; it does not own cultural ontology truth.
The profiles follow `schemas/cultural-ontology-profile.md`: salience axes and
linguistic affordances are nested typed state with feature IDs, activation
gates, constraints, indexicality, evidence, uncertainty, and trace labels.
Qdrant retrieval may later propose evidence bundles for these profiles. It does
not own accepted profile state.

View file

@ -5,7 +5,8 @@ culture, and constraint, and the planned lowerer that turns an agent's
meaning packet into the reader's display language.
**What is valuable here.** The interlingua standard and the lowering design: a
meaning packet owns what is meant, a target-language profile owns register,
meaning packet owns what is meant, the scene state (live: `weksa scene put|dump`, labelled by the rule in
`docs/scene-annotation.md`; speaker documents are planned) owns the speaker's relation to the addressee, which selects register,
address and politeness, and a lowerer owns surface text and leaves a trace.
**The problem it solves.** An agent's outward speech today is one English
@ -24,16 +25,21 @@ measured.
published schemas in `schemas/cultnet/`.
- `data/corpus/corpus.cc`, `data/entity/entity.cc` and `data/interlingua/inventory.cc`: the English
corpus, its entities and the inventory, read with `weksa corpus dump`,
`weksa entity dump` and `weksa inventory dump`.
`weksa entity dump` and `weksa inventory dump`. `data/original/inventory.cc`
carries its own Validation-informed lexicon revisions (5 and 6) for lowering
measurements; scored runs use `data/interlingua`.
- [Lowering target](./docs/targets/interlingua-lowering.md) and
[its map](./docs/targets/interlingua-lowering-map.md): the design, scoring
and cut sequence.
- `data/`: the cultural ontology and target-language profile data.
- `data/`: the committed stores (corpora, entities, inventory, language ontology) and research data; there are no target-language profiles.
- `settings/`: setting-specific proving grounds for language projects.
**Live versus planned.** Live: docs, fixtures, examples, ontology data and the
packet crate `crates/weksa`, including the scoring library. Planned: lowering,
the `weksa score` subcommand, and the golf loop that scores lowered English against an expressive corpus. No
packet crate `crates/weksa`, including `weksa lower` (the template lowerer for
proof fixtures) and `weksa score`, and the golf loop's round and edit-accept
cycle (`weksa loop open|round|cycle`), which encodes and lowers through the
model (a prompted Claude subagent, per staged-distill).
Planned: Score and lowering documents and the other panel languages. No
daemon runs; the earlier Node daemon is parked at tag `parked/weksa-node-body`.
## Ownership Model
@ -79,9 +85,17 @@ English, Brazilian Portuguese, Japanese, and later target-language dialogue.
[Flavored English Lowering](./docs/flavored-english-lowering.md) remains the
target-specific English receipt.
See [Target-Language Cultural Ontology Profiles](./data/target-language-ontology/README.md)
for the reviewable address, register, politeness, idiom, metaphor, and script
distinctions that target lowerers must inspect before producing output.
The language ontology is `data/ontology/ontology.cc` (read it with
`weksa ontology dump`): per language, the lexicon, grammar and discourse choices a lowerer
reads for a stance, a discourse and a scene relation. Only an entry with a Scene condition names an
address or politeness level; the relation, from `data/original/speaker-state.cc`, picks it. Its
en-US and ja-JP entries and the keeper scenes are model-drafted or model-annotated, never Test evidence. Nothing yet grows them from accepted
rounds; until that mint exists they change only by a new `weksa ontology admit`. ja-JP holds Scene entries `onto:ja-JP:10` to `:13`. It holds none for an above-status out-group
addressee, and none for an above-status in-group addressee below intimacy 700 (`:12` still selects
an in-group addressee at intimacy 700 or more, whatever the status). Two entries for the above-status
cases were withdrawn: a paired measure found they made the lowerer match the reference register less
often, and they stay out until a native reader attests them.
ja-JP `:5` (hedging), `:7` (affection) and `:8` (restrained sadness) carry certainty and restraint conditions, through `AtMostOrUnset` bounds (an unrated certainty or restraint does not defeat them), so the hedging, certainty, affection, restraint and sadness entries never co-select on the pairs `:5`/`:6`, `:4`/`:7`, `:6`/`:7` and `:6`/`:8`; ja-JP `:3` (anger) carries `AtMostOrUnset` hedge and affection bounds, as en-US `:3`, so `:3`/`:5` and `:3`/`:7` never co-select; the store has no retire, so that was a rebuild of `data/ontology/ontology.cc` with the ja-JP text unchanged. en-US `:3` (blunt anger) carries `AtMostOrUnset` hedge and affection bounds, and `:5` (hedging) and `:8` (affection) each an `AtMostOrUnset` certainty bound (as ja-JP `:7`), so `:3`/`:5`, `:3`/`:8`, `:5`/`:6` and `:6`/`:8` never co-select; `:5`'s certainty clause is that condition and no longer prose; `:6` and the Scene entry `:10` still co-select and are kept apart by scoping in the text. ja-JP `:9` (surprise) states its question ending as available, not prescribed, so `:6`/`:9`, `:5`/`:9` and `:3`/`:9` stay co-selectable and are reconciled by wording, not by condition.
For the first AquaSynth speech-training handoff, see
[Tiny PanPhon v0.1 Speech Curriculum](./examples/speech-training/tiny-panphon-v0.1/README.md).

View file

@ -0,0 +1,398 @@
//! Build-time generator for the "Show her working" page. Runs the real
//! admission door, lowerer and IPA reader over the committed proof packet and
//! variants of it, and prints one JSON document on stdout: the typed slots, the
//! inventory entries the packet chose, and the outcome, which is lowered text or
//! a named refusal. Scoring is not here: `tools/show-working/build.py` calls the
//! `weksa score` CLI on the text this emits.
//!
//! Run from the repository root: `cargo run --release --example show_working`.
//! Every variant is a mutation of `proof_packet()`, spelled in its `source`.
use std::path::Path;
use serde_json::{Value, json};
use weksa::packet::{
EntityId, FeatValue, FeatureValue, Grade, NodeId, ProvenanceSource, RoleFill, proof_packet,
};
use weksa::{
CorpusStore, EntityStore, InvId, Inventory, InventoryStore, LowerError, Packet, PacketStore,
StoreError, lower, pronounce,
};
struct Fixture {
id: &'static str,
title: &'static str,
note: &'static str,
source: &'static str,
packet: Packet,
}
fn id(s: &str) -> InvId {
s.parse().expect("inventory id")
}
fn node(s: &str) -> NodeId {
NodeId::parse(s).expect("node id")
}
fn grade(feature: &str, v: u16) -> FeatureValue {
FeatureValue {
feature: id(feature),
value: FeatValue::Grade(Grade::new(v).expect("grade")),
}
}
fn fixtures() -> Vec<Fixture> {
let proof = proof_packet();
let mut out = vec![Fixture {
id: "proof",
title: "Nibu warns the player off the control",
note: "The committed proof packet, unchanged.",
source: "proof_packet() in crates/weksa/src/packet.rs",
packet: proof.clone(),
}];
let mut add = |id, title, note, source, f: &dyn Fn(&mut Packet)| {
let mut packet = proof.clone();
f(&mut packet);
out.push(Fixture { id, title, note, source, packet });
};
add(
"no-addressee",
"Same meaning, nobody addressed",
"With the addressee unset the player is a third party: no \"you\", no reflexive.",
"proof_packet() with discourse.addressee = None",
&|p| p.discourse.addressee = None,
);
add(
"stance-held-back",
"Anger held back, restraint high",
"Stance is the speaker's felt affect. The lowerer has no row that reads it, so the text is the proof's text.",
"proof_packet() with stance anger=300, restraint=700",
&|p| p.stance.features = vec![grade("feature:9", 300), grade("feature:18", 700)],
);
add(
"hedged",
"Hedged and uncertain warning",
"Hedge and certainty are meaning the lowerer cannot yet say. It refuses rather than drop them.",
"proof_packet() with discourse hedge=600, certainty=400",
&|p| p.discourse.features = vec![grade("feature:6", 600), grade("feature:7", 400)],
);
add(
"negated",
"Negated intervention (polarity: negative)",
"Dropping the negation would say the opposite, so the lowerer refuses. This is the shape of a negated Dao line awaiting polarity.",
"proof_packet() with predication n5 polarity=negative",
&|p| {
p.predications[1].features = vec![FeatureValue {
feature: id("feature:1"),
value: FeatValue::Option("negative".parse().expect("label")),
}]
},
);
add(
"consent-authored",
"Addressee consent, authored source",
"Someone who saw the request says the addressee asked for it. No lowering speaks for that request yet.",
"proof_packet() with discourse.addressee_consent = n4 (source Authored)",
&|p| p.discourse.addressee_consent = Some(node("n4")),
);
add(
"consent-imported",
"Addressee consent, imported-corpus source",
"A reader of wording cannot have seen a request, so the packet is refused at admission (V15), before any lowering.",
"proof_packet() with addressee_consent = n4 and provenance.source = ImportedCorpus",
&|p| {
p.discourse.addressee_consent = Some(node("n4"));
p.provenance.source = ProvenanceSource::ImportedCorpus;
},
);
add(
"relation",
"A causal relation between the predications",
"Relations are not rendered; the lowerer refuses instead of asserting a different meaning.",
"proof_packet() with relation:8 (causes) n4 -> n5",
&|p| {
p.relations = vec![weksa::packet::Relation {
relation: id("relation:8"),
from: node("n4"),
to: node("n5"),
features: vec![],
}]
},
);
add(
"dangling-filler",
"A role filled by a node that does not exist",
"Refused at admission (V4): the packet is not a packet.",
"proof_packet() with predication n5 agent filler n9",
&|p| {
p.predications[1].roles[0] = RoleFill { role: id("role:1"), filler: node("n9") }
},
);
add(
"unknown-entity",
"A referent naming an entity nobody holds",
"The entity store is the only owner of names; a packet cannot invent one.",
"proof_packet() with referent n3 entity = entity:nobody",
&|p| p.referents[2].entity = Some(EntityId::parse("entity:nobody").expect("entity")),
);
add(
"common-noun-agent",
"The ship mind as a common noun",
"No entity: the referent lowers as \"the ship mind\", and there is no name to pronounce.",
"proof_packet() with referent n3 entity = None",
&|p| p.referents[2].entity = None,
);
out
}
fn gloss(inv: &Inventory, rev: u32, i: &InvId) -> Value {
match inv.resolve(i, rev) {
Some(e) => json!({ "id": i.to_string(), "gloss": e.gloss }),
None => json!({ "id": i.to_string(), "gloss": null }),
}
}
fn feature_json(inv: &Inventory, rev: u32, slot: &str, at: &str, f: &FeatureValue) -> Value {
let mut g = gloss(inv, rev, &f.feature);
g["slot"] = json!(slot);
g["at"] = json!(at);
g["value"] = serde_json::to_value(&f.value).expect("value");
g
}
/// Every feature the packet carries, with where it sits.
fn features(p: &Packet, inv: &Inventory) -> Vec<Value> {
let rev = p.inventory_rev;
let mut v = Vec::new();
for f in &p.discourse.features {
v.push(feature_json(inv, rev, "discourse", "discourse", f));
}
for f in &p.stance.features {
v.push(feature_json(inv, rev, "stance", "stance", f));
}
for r in &p.referents {
for f in &r.features {
v.push(feature_json(inv, rev, "referent", r.id.as_str(), f));
}
}
for pr in &p.predications {
for f in &pr.features {
v.push(feature_json(inv, rev, "predication", pr.id.as_str(), f));
}
}
v
}
/// Ids the packet chose, once each, with the inventory's gloss at its revision.
fn chosen(p: &Packet, inv: &Inventory) -> Vec<Value> {
let rev = p.inventory_rev;
let mut ids: Vec<InvId> = Vec::new();
let mut push = |i: &InvId| {
if !ids.contains(i) {
ids.push(*i)
}
};
p.context.setting.iter().for_each(&mut push);
p.context.medium.iter().for_each(&mut push);
p.discourse.speech_act.iter().for_each(&mut push);
for r in &p.referents {
push(&r.kind);
push(&r.concept);
}
for pr in &p.predications {
push(&pr.concept);
push(&pr.frame);
pr.roles.iter().for_each(|f| push(&f.role));
}
p.relations.iter().for_each(|r| push(&r.relation));
features(p, inv)
.iter()
.filter_map(|f| f["id"].as_str().and_then(|s| s.parse().ok()))
.for_each(|i: InvId| push(&i));
ids.iter().map(|i| gloss(inv, rev, i)).collect()
}
fn slots(p: &Packet) -> Value {
let j = |v: &dyn erased::Ser| v.to_value();
json!({
"meaning": {
"referents": p.referents.iter().map(|r| j(r)).collect::<Vec<_>>(),
"predications": p.predications.iter().map(|r| j(r)).collect::<Vec<_>>(),
"relations": p.relations.iter().map(|r| j(r)).collect::<Vec<_>>(),
},
"stance": j(&p.stance),
"discourse": j(&p.discourse),
"context": j(&p.context),
"extensions": p.extensions.iter().map(|r| j(r)).collect::<Vec<_>>(),
"constraints": j(&p.constraints),
"provenance": { "source": j(&p.provenance.source), "corpus_item": p.provenance.corpus_item.to_string(), "confidence": p.provenance.confidence.get() },
"kind": j(&p.kind),
"inventory_rev": p.inventory_rev,
})
}
mod erased {
pub trait Ser {
fn to_value(&self) -> serde_json::Value;
}
impl<T: serde::Serialize> Ser for T {
fn to_value(&self) -> serde_json::Value {
serde_json::to_value(self).expect("serialize")
}
}
}
fn lower_error(e: &LowerError) -> Value {
let (variant, reason) = match e {
LowerError::Unrendered { what } => ("Unrendered", format!("the packet carries {what}, which the lowerer does not render")),
LowerError::NoRow { id } => ("NoRow", format!("no table row for {id}")),
LowerError::GlossMismatch { id, row } => ("GlossMismatch", format!("{id} is not the {row} the row speaks for")),
LowerError::UnknownRole { frame, role } => ("UnknownRole", format!("{frame} names role {role}, which the inventory lacks")),
LowerError::MissingRole { predication, role } => ("MissingRole", format!("{predication} fills no {role} role")),
LowerError::UnknownEntity { entity } => ("UnknownEntity", format!("the entity store does not hold {entity}")),
LowerError::NoForm { entity } => ("NoForm", format!("{entity} has no en-US form")),
LowerError::NoPronunciation { entity } => ("NoPronunciation", format!("{entity} has no ruled en-US pronunciation")),
LowerError::NoEntityReferent => ("NoEntityReferent", "the packet cites no entity".to_string()),
LowerError::UnknownPhone { entity, at, .. } => ("UnknownPhone", format!("the ruled pronunciation of {entity} holds a symbol at {at} with no listed phone")),
LowerError::DanglingStress { entity, at } => ("DanglingStress", format!("the ruled pronunciation of {entity} has a stress mark at {at} with no vowel after it")),
LowerError::ConsentMissing { predication } => ("ConsentMissing", format!("{predication} is a request the packet does not carry the addressee's consent to")),
LowerError::AskerNotAddressee { predication } => ("AskerNotAddressee", format!("the agent of {predication} is not the addressee")),
LowerError::EntityRead { entity, .. } => ("EntityRead", format!("the entity store failed reading {entity}")),
LowerError::SceneUnread => ("SceneUnread", "the view's scene was never read".to_string()),
LowerError::SpeakerTokenTaken => ("SpeakerTokenTaken", "a referent cites the entity id the speaker token uses".to_string()),
};
json!({ "variant": variant, "reason": reason })
}
struct World {
inventory: InventoryStore,
corpus: CorpusStore,
entities: EntityStore,
inv: Inventory,
}
/// Admit `packet` through a fresh packet store and lower it. `Ok` carries the
/// text and the IPA outcome; `Err` is the refusal, as JSON.
fn run(w: &World, dir: &Path, packet: &Packet) -> Result<(String, Value), Value> {
let mut store = PacketStore::open(&dir.join("p.cc")).expect("packet store");
let view = match store.admit(packet.clone(), &w.inventory, &w.corpus, &w.entities) {
Ok(v) => v,
Err(StoreError::Invalid(rs)) => {
return Err(json!({
"kind": "admission_refused",
"refusals": rs.iter().map(|r| json!({ "rule": r.rule(), "detail": r.to_string() })).collect::<Vec<_>>(),
}));
}
Err(e) => {
return Err(json!({ "kind": "admission_refused", "refusals": [{ "rule": "store", "detail": e.to_string() }] }));
}
};
let text = lower(&view, &w.inv, &w.entities).map_err(|e| {
json!({ "kind": "lower_error", "error": lower_error(&e) })
})?;
let ipa = match pronounce(&view, &w.entities) {
Ok(v) => json!({ "ok": v }),
Err(e) => json!({ "error": lower_error(&e) }),
};
Ok((text, ipa))
}
fn main() {
let root = Path::new(env!("CARGO_MANIFEST_DIR")).join("../..");
let inventory = InventoryStore::open(&root.join("data/interlingua/inventory.cc")).expect("inventory");
let inv = inventory.inventory().expect("inventory view");
let w = World {
corpus: CorpusStore::open(&root.join("data/corpus/corpus.cc")).expect("corpus"),
entities: EntityStore::open(&root.join("data/entity/entity.cc")).expect("entities"),
inventory,
inv,
};
let dir = std::env::temp_dir().join(format!("show-working-{}", std::process::id()));
std::fs::create_dir_all(&dir).expect("scratch dir");
let mut out = Vec::new();
for fx in fixtures() {
let p = &fx.packet;
let first = run(&w, &dir, p);
let outcome = match first {
Err(e) if e["kind"] == "admission_refused" => e,
first => {
// Ablation: run again with each feature removed, against the
// baseline outcome. It is how the page says whether the lowerer
// read a feature, instead of the page asserting it.
let base = first.as_ref().ok().map(|(t, _)| t.clone());
let n_disc = p.discourse.features.len();
let n_stance = p.stance.features.len();
let total = features(p, &w.inv).len();
let mut effects = Vec::new();
for k in 0..total {
let mut q = p.clone();
if k < n_disc {
q.discourse.features.remove(k);
} else if k < n_disc + n_stance {
q.stance.features.remove(k - n_disc);
} else {
let mut at = k - n_disc - n_stance;
'o: {
for r in &mut q.referents {
if at < r.features.len() { r.features.remove(at); break 'o; }
at -= r.features.len();
}
for pr in &mut q.predications {
if at < pr.features.len() { pr.features.remove(at); break 'o; }
at -= pr.features.len();
}
}
}
let _ = std::fs::remove_file(dir.join("p.cc"));
effects.push(match (&base, run(&w, &dir, &q)) {
(Some(t), Ok((u, _))) if *t == u => "Without it the text is identical: the lowerer did not read it.",
(Some(_), Ok(_)) => "Without it the text changes: the lowerer read it.",
(Some(_), Err(_)) => "Without it the packet is refused.",
(None, Ok(_)) => "Without it the packet lowers: this feature is what the lowerer refuses.",
(None, Err(_)) => "Still refused without this feature alone.",
});
}
match first {
Ok((text, ipa)) => json!({ "kind": "lowered", "text": text, "ipa": ipa, "feature_effects": effects }),
Err(e) => { let mut e = e; e["feature_effects"] = json!(effects); e }
}
}
};
let _ = std::fs::remove_file(dir.join("p.cc"));
let mut slots = slots(p);
slots["features"] = json!(features(p, &w.inv));
out.push(json!({
"id": fx.id,
"title": fx.title,
"note": fx.note,
"source": fx.source,
"packet_id": p.id.to_string(),
"corpus_item": p.provenance.corpus_item.to_string(),
"slots": slots,
"chosen": chosen(p, &w.inv),
"outcome": outcome,
}));
}
let _ = std::fs::remove_dir_all(&dir);
println!("{}", serde_json::to_string_pretty(&json!({ "fixtures": out })).expect("json"));
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn refusal_carries_the_closed_reason_never_a_debug_of_the_error() {
// UnknownPhone holds the ruled IPA text; no field of the output may.
let e = LowerError::UnknownPhone {
entity: EntityId::parse("entity:nibu").expect("entity id"),
at: 3,
text: "CANARY-IPA".into(),
};
let v = lower_error(&e);
assert!(!v.to_string().contains("CANARY"));
let keys: Vec<_> = v.as_object().expect("object").keys().cloned().collect();
assert_eq!(keys, ["reason", "variant"]);
}
}

1028
crates/weksa/src/context.rs Normal file

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@ -0,0 +1,14 @@
//! Pins for private reach of `context.rs` that no run can produce.
use super::*;
/// A corpus with no live Train item of the panel's languages holds an empty
/// train. (A run refuses a panel without Train items at open, so only the
/// builder shows it.)
#[test]
fn no_train_item_of_the_panel_is_an_empty_train() {
let dir = tempfile::tempdir().unwrap();
let corpus = CorpusStore::open(&dir.path().join("c.cc")).unwrap();
let train = TrainItems::from_corpus(&corpus, &["en-US".to_string()]).unwrap();
assert_eq!((train.len(), train.is_empty()), (0, true));
}

View file

@ -8,6 +8,7 @@ use serde::{Deserialize, Serialize};
use crate::form::{FormError, is_slug, string_form};
use crate::packet::EntityId;
use crate::speaker::Annotator;
#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
pub struct Turn {
@ -29,12 +30,28 @@ pub enum Source {
OperatorApproved {
note: String,
},
/// A public-domain work, with everything a reader needs to check the claim:
/// the edition's licence and the jurisdiction the public-domain status is
/// asserted in, who translated it (the translation is the text's copyright,
/// not the original's) and when the work or translation first appeared. A work missing any
/// is refused at admission.
PublicDomain {
work: String,
author: String,
edition_url: String,
licence: String,
jurisdiction: String,
translator: String,
/// The year the work, or for a translation this translation, first
/// appeared. It is not the year of the `edition_url` file's source
/// print: Project Gutenberg's text may be a later or modernised
/// edition, and the claim rests on the date of first appearance.
edition_year: u16,
},
/// Labelled model output; never in the test split, never judged by its own family.
/// Labelled model output; never in the test split. The rule that it is
/// never judged by its own family binds model judges and the split; a
/// deterministic scorer refuses nothing, so the loop labels (the round
/// counts items of the answerer's family) and does not forbid.
/// `family` is `Unrecorded` when nothing records one. `generator` is the
/// string the fixture or run wrote, kept verbatim.
ModelWritten {
@ -45,7 +62,7 @@ pub enum Source {
}
/// The family of the model that wrote a line.
#[derive(Clone, Copy, Debug, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
#[derive(Clone, Copy, Debug, Default, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
pub enum ModelFamily {
Anthropic,
OpenAi,
@ -54,6 +71,7 @@ pub enum ModelFamily {
Meta,
Mistral,
/// Nothing records which family wrote the line.
#[default]
Unrecorded,
}
@ -86,6 +104,25 @@ pub struct CorpusItem {
/// Which entities the text names, and where. Fixed with the text at intake.
#[cultcache(key = 10)]
pub names: Vec<NameSpan>,
/// Who placed `names`: the annotator of the intake that wrote them. `None`
/// when nothing records one (the cast seeds, `weksa corpus add`, the Dao De
/// Jing bed); it labels the spans, never the line or its speaker.
#[cultcache(key = 11, default)]
pub names_by: Option<Annotator>,
}
impl CorpusItem {
/// The entities a packet for this item may cite (leak-owned-by-flow-and-scorer-3
/// (3)): the entities its text names, then its speaker, then its prior-turn
/// speakers (which may repeat). `PacketStore::admit` and `EncoderOffer` read
/// only this.
pub fn cited_entities(&self) -> impl Iterator<Item = &EntityId> {
self.names
.iter()
.map(|n| &n.entity)
.chain(std::iter::once(&self.speaker))
.chain(self.prior_turns.iter().map(|t| &t.speaker))
}
}
/// A byte range `[start, end)` of an item's text that names an entity. The

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@ -0,0 +1,328 @@
//! The Dao De Jing test bed: inventory revision 3 of the `data/daodejing`
//! stores and the packets for the slice of James Legge's chapters in its corpus.
//! It follows `proof_packet`'s precedent: a hand-authored packet the stores
//! admit through the same doors as any other.
//!
//! The ids carry the leak labels the golf loop needs. A frame minted while
//! reading a Train chapter is generic evidence; one minted for a Validation or
//! Test chapter was written with that chapter's reference in view, so a score
//! on it measures the lowerer table's reach and not the interlingua's.
use std::num::NonZeroU32;
use crate::corpus::CorpusItemId;
use crate::inventory::{Change, Family, InvId, InventoryEntry, InventoryRevision};
use crate::packet::{
Constraints, Context, Discourse, EncoderId, FeatValue, FeatureValue, Grade, NodeId, Packet,
PacketId, PacketKind, Predication, Provenance, ProvenanceSource, Referent, RoleFill,
SCHEMA_VERSION, Stance, Trace,
};
const CONCEPTS: &[&str] = &[
"sage",
"mind",
"belly",
"will",
"bone",
"empty",
"fill",
"weaken",
"strengthen",
"heaven",
"earth",
"is_long_enduring",
"continues_long",
"highest_excellence",
"water",
"true_words",
"seem_paradoxical",
"space_between_heaven_and_earth",
"bellows",
"compare",
"resemble",
];
/// Frame glosses, from `frame:4`. 4 is minted from a Train chapter, 5 and 6
/// from Validation chapters, 7 and 8 from Test chapters.
const FRAMES: &[&str] = &[
"act",
"intransitive",
"likeness",
"seems_paradoxical",
"may_be_compared",
];
/// Revision 3 of the Dao De Jing stores, after the seed and the proof revision.
pub fn revision() -> (InventoryRevision, Vec<InventoryEntry>) {
let mut entries = Vec::new();
for (family, glosses) in [(Family::Concept, CONCEPTS), (Family::Frame, FRAMES)] {
let first = if family == Family::Concept { 7 } else { 4 };
for (i, gloss) in glosses.iter().enumerate() {
entries.push(InventoryEntry {
id: family.id(NonZeroU32::new(first + i as u32).expect("nonzero")),
gloss: (*gloss).to_string(),
value_kind: None,
applies_to: vec![],
introduced_rev: 3,
retired_rev: None,
});
}
}
let changes = entries.iter().map(|e| Change::Add(e.id)).collect();
(
InventoryRevision {
n: 3,
parent: Some(2),
changes,
frozen: false,
},
entries,
)
}
fn concept(gloss: &str) -> &'static str {
let at = CONCEPTS
.iter()
.position(|c| *c == gloss)
.expect("known concept");
Box::leak(format!("concept:{}", 7 + at).into_boxed_str())
}
fn frame(gloss: &str) -> &'static str {
let at = FRAMES
.iter()
.position(|c| *c == gloss)
.expect("known frame");
Box::leak(format!("frame:{}", 4 + at).into_boxed_str())
}
fn hex8(ascii: &str) -> String {
assert_eq!(ascii.len(), 8);
ascii.bytes().map(|b| format!("{b:02x}")).collect()
}
/// `(node, concept gloss, frame gloss, [(role id, filler node)])`.
type PredicationSpec = (
&'static str,
&'static str,
&'static str,
&'static [(&'static str, &'static str)],
);
struct Spec {
/// Eight ASCII characters; the packet id is their hex.
id: &'static str,
item: &'static str,
speech_act: &'static str,
/// `(node, referent kind id, concept gloss)`.
referents: &'static [(&'static str, &'static str, &'static str)],
predications: &'static [PredicationSpec],
/// The author's reading of the speaker's felt state: `(feature gloss, permille)`.
stance: &'static [(&'static str, u16)],
note: &'static str,
}
const AGENT: &str = "role:1";
const PATIENT: &str = "role:2";
const EXPERIENCER: &str = "role:3";
const GOAL: &str = "role:6";
const PERSON: &str = "referent_kind:1";
const ORGANISM: &str = "referent_kind:3";
const PLACE: &str = "referent_kind:4";
const ABSTRACT: &str = "referent_kind:11";
/// Feature ids of the seed: restraint is the tenth stance feature.
fn stance_feature(gloss: &str) -> InvId {
let n = [
"anger",
"fear",
"sadness",
"joy",
"disgust",
"surprise",
"contempt",
"affection",
"shame",
"restraint",
]
.iter()
.position(|g| *g == gloss)
.expect("stance feature");
// Features before the stance block: polarity, tense, aspect, modality,
// evidentiality, hedge, certainty, irony.
InvId::parse(&format!("feature:{}", 9 + n)).expect("feature id")
}
const SPECS: &[Spec] = &[
// Chapter 3 section 2. Train.
Spec {
id: "dao-0302",
item: "item:daodejing:1",
speech_act: "speech_act:1",
referents: &[
("n1", PERSON, "sage"),
("n2", ABSTRACT, "mind"),
("n3", ORGANISM, "belly"),
("n4", ABSTRACT, "will"),
("n5", ORGANISM, "bone"),
],
predications: &[
("n6", "empty", "act", &[(AGENT, "n1"), (PATIENT, "n2")]),
("n7", "fill", "act", &[(AGENT, "n1"), (PATIENT, "n3")]),
("n8", "weaken", "act", &[(AGENT, "n1"), (PATIENT, "n4")]),
("n9", "strengthen", "act", &[(AGENT, "n1"), (PATIENT, "n5")]),
],
stance: &[("restraint", 800)],
note: "Four acts of one agent; 'in the exercise of his government' and 'their' are not carried.",
},
// Chapter 7 section 1, first sentence. Validation.
Spec {
id: "dao-0701",
item: "item:daodejing:2",
speech_act: "speech_act:1",
referents: &[("n1", PLACE, "heaven"), ("n2", PLACE, "earth")],
predications: &[
(
"n3",
"is_long_enduring",
"intransitive",
&[(EXPERIENCER, "n1")],
),
(
"n4",
"continues_long",
"intransitive",
&[(EXPERIENCER, "n2")],
),
],
stance: &[("restraint", 800)],
note: "Heaven and earth as places; whether they are entities is a ruling the ontology owes.",
},
// Chapter 8 section 1, first sentence. Validation.
Spec {
id: "dao-0801",
item: "item:daodejing:3",
speech_act: "speech_act:1",
referents: &[
("n1", ABSTRACT, "highest_excellence"),
("n2", ABSTRACT, "water"),
],
predications: &[(
"n3",
"resemble",
"likeness",
&[(EXPERIENCER, "n1"), (GOAL, "n2")],
)],
stance: &[("restraint", 800), ("affection", 300)],
note: "The metaphor is a plain likeness predication; the tenor and vehicle are not marked.",
},
// Chapter 78 section 4. Test.
Spec {
id: "dao-7804",
item: "item:daodejing:4",
speech_act: "speech_act:1",
referents: &[("n1", ABSTRACT, "true_words")],
predications: &[(
"n2",
"seem_paradoxical",
"seems_paradoxical",
&[(EXPERIENCER, "n1")],
)],
stance: &[("restraint", 800)],
note: "The whole paradox is in the referent's concept and the frame; the packet holds no more than the surface does.",
},
// Chapter 5 section 2, first sentence. Test.
Spec {
id: "dao-0502",
item: "item:daodejing:5",
speech_act: "speech_act:2",
referents: &[
("n1", PLACE, "space_between_heaven_and_earth"),
("n2", ARTIFACT, "bellows"),
],
predications: &[(
"n3",
"compare",
"may_be_compared",
&[(EXPERIENCER, "n1"), (GOAL, "n2")],
)],
stance: &[("restraint", 800)],
note: "A rhetorical question; the speech act is ask and the negated 'may not' is dropped.",
},
];
const ARTIFACT: &str = "referent_kind:5";
/// The packets of the slice, each minted for its corpus item.
pub fn packets() -> Vec<Packet> {
SPECS.iter().map(build).collect()
}
fn build(spec: &Spec) -> Packet {
let id = |s: &str| InvId::parse(s).expect("ids are well formed");
let node = |s: &str| NodeId::parse(s).expect("nodes are well formed");
Packet {
id: PacketId::parse(&format!("packet:{}", hex8(spec.id))).expect("packet id"),
schema_version: SCHEMA_VERSION,
inventory_rev: 3,
kind: PacketKind::CorpusExample,
provenance: Provenance {
source: ProvenanceSource::Authored,
corpus_item: CorpusItemId::parse(spec.item).expect("item key"),
encoder: EncoderId::parse(&format!("encoder:{}", hex8("claude-s"))).expect("encoder"),
confidence: Grade::new(600).expect("grade"),
},
context: Context::default(),
discourse: Discourse {
speech_act: Some(id(spec.speech_act)),
addressee: None,
addressee_consent: None,
features: vec![],
},
referents: spec
.referents
.iter()
.map(|(n, kind, gloss)| Referent {
id: node(n),
kind: id(kind),
concept: id(concept(gloss)),
entity: None,
features: vec![],
})
.collect(),
predications: spec
.predications
.iter()
.map(|(n, c, f, roles)| Predication {
id: node(n),
concept: id(concept(c)),
frame: id(frame(f)),
roles: roles
.iter()
.map(|(role, filler)| RoleFill {
role: id(role),
filler: node(filler),
})
.collect(),
features: vec![],
})
.collect(),
relations: vec![],
constraints: Constraints::default(),
extensions: vec![],
trace: Trace {
notes: vec![spec.note.to_string()],
rejected_readings: vec![],
},
stance: Stance {
features: spec
.stance
.iter()
.map(|(g, v)| FeatureValue {
feature: stance_feature(g),
value: FeatValue::Grade(Grade::new(*v).expect("grade")),
})
.collect(),
},
}
}

1089
crates/weksa/src/encode.rs Normal file

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@ -0,0 +1,13 @@
//! Pins for `unmark` that the import door only reaches through a whole work.
use super::*;
/// A form that opens another markup is malformed, though its entity id is
/// sound: the model wrote a nested or unclosed mark, not a name.
#[test]
fn a_form_that_opens_a_mark_is_malformed() {
assert_eq!(unmark("[[entity:orsa|Or[[sa]] came"), None);
// The same line without the nested opener unmarks.
let (plain, names) = unmark("[[entity:orsa|Orsa]] came").unwrap();
assert_eq!((plain.as_str(), names.len()), ("Orsa came", 1));
}

View file

@ -22,7 +22,9 @@ impl FormError {
impl fmt::Display for FormError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "{:?} is not a {}", self.got, self.form)
// `got` stays a field for callers; the text does not echo it, because
// the value is often an identifier the caller supplied.
write!(f, "not a {}", self.form)
}
}
@ -61,20 +63,101 @@ macro_rules! string_form {
}
pub(crate) use string_form;
/// A BCP 47-form language tag: 1 to 35 bytes of ASCII alphanumerics in
/// hyphen-separated subtags of 1 to 8 bytes; the first is 2 to 8 letters, or the
/// single letter `x` of a private-use tag. Form only: no registry is consulted.
/// A real calendar date written `YYYY-MM-DD`: four ASCII digits, a month 1 to
/// 12 and a day that month has in that year (leap years by the Gregorian rule).
pub fn is_calendar_date(s: &str) -> bool {
let b = s.as_bytes();
if b.len() != 10 || b[4] != b'-' || b[7] != b'-' {
return false;
}
let digits = |r: std::ops::Range<usize>| {
b[r.clone()]
.iter()
.all(u8::is_ascii_digit)
.then(|| s[r].parse::<u32>().ok())
.flatten()
};
let (Some(year), Some(month), Some(day)) = (digits(0..4), digits(5..7), digits(8..10)) else {
return false;
};
let leap = year % 4 == 0 && (year % 100 != 0 || year % 400 == 0);
let days = match month {
1 | 3 | 5 | 7 | 8 | 10 | 12 => 31,
4 | 6 | 9 | 11 => 30,
2 if leap => 29,
2 => 28,
_ => return false,
};
(1..=days).contains(&day)
}
/// A BCP 47 language tag in its canonical case (RFC 5646 section 2.1.1): 1 to 35
/// bytes of ASCII alphanumerics in hyphen-separated subtags of 1 to 8 bytes; the
/// first is 2 to 8 letters, or the single letter `x` of a private-use tag. The
/// language subtag is lowercase, a four-letter script subtag is Titlecase, a
/// two-letter region subtag is UPPERCASE, and every other subtag, and every
/// subtag after a singleton such as `x`, is lowercase. Form only: no registry is
/// consulted. Selection and comparison are by exact tag, so a case variant would
/// be a different, dead language; this is the one tag check of corpus items,
/// entities, ontology entries and the run panel.
pub(crate) fn is_language_tag(s: &str) -> bool {
if s.len() > 35 {
return false;
}
let mut subtags = s.split('-');
let first = subtags.next().unwrap_or("");
let first_ok = first.bytes().all(|b| b.is_ascii_alphabetic())
let first_ok = first.bytes().all(|b| b.is_ascii_lowercase())
&& ((2..=8).contains(&first.len()) || first == "x");
first_ok
&& subtags
.all(|t| (1..=8).contains(&t.len()) && t.bytes().all(|b| b.is_ascii_alphanumeric()))
if !first_ok {
return false;
}
// `private`: inside the `x` private-use section (subtags 1 to 8, lowercase).
// `ext`: inside any singleton section, where a one-byte subtag starts the next.
// `pending`: the last subtag was a singleton and nothing has followed it yet.
let mut private = first == "x";
let mut ext = private;
let mut pending = private;
for t in subtags {
if !(1..=8).contains(&t.len()) || !t.bytes().all(|b| b.is_ascii_alphanumeric()) {
return false;
}
let lower = t.bytes().all(|b| !b.is_ascii_uppercase());
if private {
if !lower {
return false;
}
pending = false;
} else if t.len() == 1 {
// A singleton: lowercase, and not directly after another singleton.
if !lower || pending {
return false;
}
ext = true;
pending = true;
private = t == "x";
} else if ext {
// Extension subtags are 2 to 8 lowercase.
if !lower {
return false;
}
pending = false;
} else {
let alpha = t.bytes().all(|b| b.is_ascii_alphabetic());
let canonical = if t.len() == 2 {
// A region: two letters. Two digits are not a subtag at all.
alpha && t.bytes().all(|b| b.is_ascii_uppercase())
} else if alpha && t.len() == 4 {
t.as_bytes()[0].is_ascii_uppercase()
&& t.bytes().skip(1).all(|b| b.is_ascii_lowercase())
} else {
lower
};
if !canonical {
return false;
}
}
}
!pending
}
/// A slug: `[a-z0-9]` and inner `-`, 1 to 48 bytes, no edge `-`.
@ -184,6 +267,25 @@ mod tests {
assert!(!is_format('\u{200c}') && !is_format('\u{200d}'));
}
#[test]
fn a_language_tag_is_in_canonical_case() {
for good in [
"en", "en-US", "ja-JP", "zh-Hant-TW", "sr-Latn", "es-419", "de-1996", "en-CA-x-ca",
"x-private", "x-ab", "x-a", "x-a-b", "en-x-a-b", "en-u-nu-x-a-b", "en-u-nu-latn", "ja-JP-x-a1",
] {
assert!(is_language_tag(good), "{good}");
}
for bad in [
"", "e", "EN", "En", "en-us", "en-Us", "en-uS", "ja-jp", "JA-JP", "zh-hant-TW",
"zh-HANT-TW", "zh-hAnt-TW", "zh-Hant-tw", "en-CA-x-CA", "en-CA-x-Ca", "de-1996-X",
"es-419-LATN", "en--US", "en-", "-en", "en_US", "abcdefghi", "en-abcdefghi",
"xx-\u{e9}", "x", "en-x", "en-u", "en-US-x", "en-0", "en-12", "en-u-x", "en-u-0",
"x-AB", "x-Ab", "en-x-AB", "en-a-b-ccc", "en-u-NU", "en-U-nu", "en-a-b",
] {
assert!(!is_language_tag(bad), "{bad}");
}
}
#[test]
fn an_attestation_is_bounded_readable_text() {
assert!(is_attestation("a"));

View file

@ -85,6 +85,11 @@ impl InvId {
pub fn family(self) -> Family {
self.family
}
/// The `n` of `<family prefix>:<n>`.
pub fn n(self) -> NonZeroU32 {
self.n
}
}
impl fmt::Display for InvId {
@ -189,9 +194,11 @@ pub enum Slot {
Predication,
Relation,
Stance,
/// The relation of the speaker to the addressee in the scene; see
/// `LoweringInput::with_scene`.
/// The speaker's relation to one party of the scene, held by `weksa.scene`
/// documents; see `LoweringInput::with_scene`.
Scene,
/// The speaker's stable axes, held by `weksa.speaker` documents.
Speaker,
}
#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
@ -228,10 +235,21 @@ impl InventoryEntry {
}
/// Whether the entry's shape matches its family: features carry a value kind
/// and slots, extensions a value kind and no slots, nothing else either.
/// and slots, extensions a value kind and no slots, nothing else either. A
/// feature of slot `Stance`, `Speaker` or `Scene` sits in that slot alone: each
/// speaker-state layer has one writer and one lifetime, so its features sit
/// nowhere else.
pub fn well_formed(&self) -> bool {
match self.family() {
Family::Feature => self.value_kind.is_some() && !self.applies_to.is_empty(),
Family::Feature => {
self.value_kind.is_some()
&& !self.applies_to.is_empty()
&& (self.applies_to.len() == 1
|| !self
.applies_to
.iter()
.any(|s| matches!(s, Slot::Stance | Slot::Speaker | Slot::Scene)))
}
Family::Extension => self.value_kind.is_some() && self.applies_to.is_empty(),
_ => self.value_kind.is_none() && self.applies_to.is_empty(),
}
@ -485,9 +503,20 @@ pub fn proof_revision() -> (InventoryRevision, Vec<InventoryEntry>) {
for (family, glosses) in [
(
Family::Concept,
["endanger", "prevent", "player", "control", "ship_mind"].as_slice(),
[
"endanger",
"prevent",
"player",
"control",
"ship_mind",
"request",
]
.as_slice(),
),
(
Family::Frame,
["hazard_warning", "intervention", "request_intervention"].as_slice(),
),
(Family::Frame, ["hazard_warning", "intervention"].as_slice()),
] {
for (i, gloss) in glosses.iter().enumerate() {
entries.push(InventoryEntry {
@ -512,28 +541,49 @@ pub fn proof_revision() -> (InventoryRevision, Vec<InventoryEntry>) {
)
}
/// Revision 3: the speaker's relation to the addressee, features of slot
/// `Scene`. Hand-seeded like [`proof_revision`] until the loop's minting round
/// and cut `speaker-scene` own the Scene vocabulary. `relative_status` is the
/// speaker's standing against the addressee's, not a register word:
/// what it selects is each language's ontology's business. It mints the three
/// Scene features after the seed's features.
pub fn scene_revision() -> (InventoryRevision, Vec<InventoryEntry>) {
/// Revision `n`: the speaker-state vocabulary. First the Scene features, the
/// speaker's relation to one party of a scene (slot `Scene`): `relative_status`
/// is the speaker's standing against the addressee's, not a register word, what
/// it selects is each language's ontology's business. Then the Speaker features
/// (slot `Speaker`): `socioeconomic_standing` is standing in the speaker's own
/// society, 0 lowest; `education` is formal schooling against that society;
/// `age_cohort` is a life stage. Origin and community are not features; they
/// arrive as community ids with cut `language-ontology`. Hand-seeded like
/// [`proof_revision`] until the loop's minting round owns the vocabulary; the
/// features take the ids after the seed's.
pub fn speaker_scene_revision(n: u32) -> (InventoryRevision, Vec<InventoryEntry>) {
let taken = seed()
.1
.iter()
.filter(|e| e.family() == Family::Feature)
.count() as u32;
let labels = ["below", "level", "above"]
.map(|l| OptionLabel::parse(l).expect("seed labels are well formed"));
let relative_status = ValueKind::Options(
OptionSet::new(labels.to_vec()).expect("seed option sets are well formed"),
);
let options = |labels: &[&str]| {
ValueKind::Options(
OptionSet::new(
labels
.iter()
.map(|l| OptionLabel::parse(l).expect("seed labels are well formed"))
.collect(),
)
.expect("seed option sets are well formed"),
)
};
let mut entries = Vec::new();
for (i, (gloss, kind)) in [
("relative_status", relative_status),
("intimacy", ValueKind::Grade),
("in_group", ValueKind::Flag),
for (i, (gloss, kind, slot)) in [
(
"relative_status",
options(&["below", "level", "above"]),
Slot::Scene,
),
("intimacy", ValueKind::Grade, Slot::Scene),
("in_group", ValueKind::Flag, Slot::Scene),
("socioeconomic_standing", ValueKind::Grade, Slot::Speaker),
("education", ValueKind::Grade, Slot::Speaker),
(
"age_cohort",
options(&["child", "adolescent", "young_adult", "adult", "elder"]),
Slot::Speaker,
),
]
.into_iter()
.enumerate()
@ -542,16 +592,16 @@ pub fn scene_revision() -> (InventoryRevision, Vec<InventoryEntry>) {
id: Family::Feature.id(NonZeroU32::MIN.saturating_add(taken + i as u32)),
gloss: gloss.to_string(),
value_kind: Some(kind),
applies_to: vec![Slot::Scene],
introduced_rev: 3,
applies_to: vec![slot],
introduced_rev: n,
retired_rev: None,
});
}
let changes = entries.iter().map(|e| Change::Add(e.id)).collect();
(
InventoryRevision {
n: 3,
parent: Some(2),
n,
parent: Some(n - 1),
changes,
frozen: false,
},

View file

@ -3,33 +3,47 @@
//! train/validation/test split, the stores that admit them, and the scorer
//! (chrF, meaning cosine, leak diagnostics).
pub mod context;
pub mod corpus;
pub mod daodejing;
pub mod encode;
pub mod entity;
pub mod form;
pub mod inventory;
pub mod lower;
pub mod model;
pub mod ontology;
pub mod packet;
pub mod phones;
pub mod run;
pub mod schema;
pub mod score;
pub mod speaker;
pub mod split;
pub mod store;
pub mod validate;
pub use corpus::{CorpusItem, CorpusItemId, NameSpan, Source, Turn};
pub use encode::{EditDraft, LoweringDraft, PacketDraft};
pub use entity::{Entity, EntityOrigin, LanguageForms, Pronunciation};
pub use form::FormError;
pub use inventory::{
Change, Family, InvId, Inventory, InventoryEntry, InventoryRevision, OptionLabel, OptionSet,
Slot, ValueKind,
};
pub use lower::{EntityForms, LowerError, TARGET_LANGUAGE, lower, pronounce};
pub use lower::{EntityForms, LowerError, PhoneLine, TARGET_LANGUAGE, lower, phones, pronounce};
pub use model::{AnswerFiles, ModelPort};
pub use ontology::{Condition, Layer, Ontology, OntologyEntry, Test, select};
pub use packet::{
EncoderId, EntityId, Grade, NodeId, Packet, PacketId, PacketKind, SCHEMA_VERSION, Stance,
};
pub use phones::{Phone, PhoneInventory, SegmentError, Stress};
pub use run::{Decision, RoundRecord, RunStores, cycle, round};
pub use score::{Embedder, ItemScore, OllamaEmbedder, Scorer, chrf};
pub use speaker::{Annotator, PairRelation, Party, Scene, Speaker};
pub use split::{Split, SplitScheme};
pub use store::{
AddOutcome, CorpusStore, EntityBound, EntityStore, InventoryStore, PacketStore, StoreError,
StoreRefusal,
AddOutcome, CorpusStore, EntityBound, EntityStore, InventoryStore, OntologyStore, PacketStore,
SpeakerStateStore, StoreError, StoreRefusal,
};
pub use validate::{LoweringInput, Refusal, validate};
pub use validate::{LoweringInput, Refusal, SceneRead, validate};

View file

@ -1,5 +1,8 @@
//! The English lowerer: the validated lowering view of a packet to text, by a
//! fixed table keyed by inventory ids. It renders predications, referents and the
//! The English template lowerer: the validated lowering view of a packet to
//! text, by a fixed table keyed by inventory ids. It is the deterministic
//! lowerer of `weksa lower`, the proof fixtures and their tests; the golf loop
//! lowers through the `ModelPort` (`run.rs`, `Prompt::lower`), and follow-up
//! `table-retirement` decides this table's future. It renders predications, referents and the
//! speech act, and nothing else: no style, no model, no corpus text. It takes a
//! [`LoweringInput`], so it cannot see the trace or the corpus item. A packet
//! carrying a feature, relation, extension, role fill or referent it does not
@ -17,20 +20,33 @@
//! the target language, is refused: the concept word would say a different
//! thing than the name the packet cites.
//!
//! A request clause ("You asked Nibu to stop.") says what the addressee did, so
//! it is gated on the packet's own record of it: `Discourse.addressee_consent`
//! (set only by authoring or game telemetry, V15) must name that predication,
//! and its agent must be the addressee. Without it the lowerer refuses
//! ([`LowerError::ConsentMissing`], [`LowerError::AskerNotAddressee`]); it does
//! not read wording or guess who asked. A consent naming any other predication
//! is an unrendered slot.
//!
//! The table is a temporary owner. Each row speaks for an inventory entry and
//! names the gloss it speaks for, so a row cannot outlive a change of what its id
//! means. `language-ontology` moves the rows into ontology documents.
use std::fmt;
use serde::Serialize;
use crate::entity::Entity;
use crate::inventory::{Family, InvId, Inventory};
use crate::packet::{EntityId, NodeId, Predication};
use crate::phones::{Phone, PhoneInventory, SegmentError};
use crate::store::EntityStore;
use crate::validate::LoweringInput;
/// The language tag this lowerer's entity forms are read under, spelled as an
/// entity's `LanguageForms::language` and a corpus item's language are.
/// The language tag of the template table and the phones: what `weksa lower`
/// says in. The golf loop lowers each item in its own language and does not
/// read this. Spelled as an entity's `LanguageForms::language` and a corpus
/// item's language are.
pub const TARGET_LANGUAGE: &str = "en-US";
/// The lowerer's whole view of the entity store: one entity by id. Narrow so a
@ -54,6 +70,33 @@ const CONCEPTS: &[Row] = &[
("concept:3", "player", "player"),
("concept:4", "control", "control"),
("concept:5", "ship_mind", "ship mind"),
// The Dao De Jing test bed (`daodejing.rs`). Nouns, then the verbs a
// `{verb}` frame speaks.
("concept:7", "sage", "sage"),
("concept:8", "mind", "minds"),
("concept:9", "belly", "bellies"),
("concept:10", "will", "wills"),
("concept:11", "bone", "bones"),
("concept:12", "empty", "empties"),
("concept:13", "fill", "fills"),
("concept:14", "weaken", "weakens"),
("concept:15", "strengthen", "strengthens"),
("concept:16", "heaven", "heaven"),
("concept:17", "earth", "earth"),
("concept:18", "is_long_enduring", "is long-enduring"),
("concept:19", "continues_long", "continues long"),
("concept:20", "highest_excellence", "highest excellence"),
("concept:21", "water", "water"),
("concept:22", "true_words", "words that are strictly true"),
("concept:23", "seem_paradoxical", "seem paradoxical"),
(
"concept:24",
"space_between_heaven_and_earth",
"space between heaven and earth",
),
("concept:25", "bellows", "bellows"),
("concept:26", "compare", "compare"),
("concept:27", "resemble", "resemble"),
];
/// Frames: the clause a predication of that frame says. `{gloss}` is the filler
@ -65,11 +108,36 @@ const FRAMES: &[Row] = &[
"{agent} may endanger {patient} by touching {instrument}",
),
("frame:2", "intervention", "{agent} will stop {patient}"),
(
"frame:3",
"request_intervention",
"{agent} asked {patient} to stop",
),
// The Dao De Jing test bed. Frame 4 was written from a Train chapter, 5 and
// 6 from Validation chapters, 7 and 8 from Test chapters.
("frame:4", "act", "{agent} {verb} {patient}"),
("frame:5", "intransitive", "{experiencer} {verb}"),
("frame:6", "likeness", "{experiencer} is like {goal}"),
(
"frame:7",
"seems_paradoxical",
"{experiencer} seem paradoxical",
),
(
"frame:8",
"may_be_compared",
"{experiencer} may be compared to {goal}",
),
];
/// The frame of "{agent} asked {patient} to stop": the one frame that reads
/// the discourse's addressee consent.
const REQUEST_FRAME: &str = "frame:3";
/// Speech acts: the opener of the first sentence.
const SPEECH_ACTS: &[Row] = &[
("speech_act:1", "assert", ""),
("speech_act:2", "ask", ""),
("speech_act:5", "warn", "Warning: "),
];
@ -95,13 +163,54 @@ pub enum LowerError {
NoPronunciation { entity: EntityId },
/// IPA was requested for a packet that cites no entity.
NoEntityReferent,
/// Phones were requested for an entity whose ruled IPA holds a symbol the
/// language's phone inventory does not list (or the language has no
/// inventory). The lowerer does not guess a phone.
UnknownPhone {
entity: EntityId,
at: usize,
text: String,
},
/// Phones were requested for an entity whose ruled IPA has a stress mark
/// with no vowel after it.
DanglingStress { entity: EntityId, at: usize },
/// A request predication the packet does not carry the addressee's consent
/// to: no consent, or a consent that names another predication. The
/// lowerer does not guess who asked.
ConsentMissing { predication: NodeId },
/// A request predication whose agent is not the discourse addressee.
AskerNotAddressee { predication: NodeId },
/// The entity port failed to read.
EntityRead { entity: EntityId, why: String },
/// A lowering prompt was asked of a view whose scene was never read.
SceneUnread,
/// A referent cites the entity whose id is the lowering prompt's speaker
/// token ([`crate::context::SPEAKER_TOKEN`]), which would read as the speaker.
SpeakerTokenTaken,
}
impl fmt::Display for LowerError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "{self:?}")
f.write_str(match self {
LowerError::Unrendered { .. } => "packet carries a slot the lowerer does not render",
LowerError::NoRow { .. } => "no table row for an inventory id the packet uses",
LowerError::GlossMismatch { .. } => "table row does not match the inventory's gloss",
LowerError::UnknownRole { .. } => "frame template names a role the inventory lacks",
LowerError::MissingRole { .. } => "predication fills no role its frame needs",
LowerError::UnknownEntity { .. } => "referent cites an entity the port does not hold",
LowerError::NoForm { .. } => "entity has no form in the target language",
LowerError::NoPronunciation { .. } => "entity has no ruled pronunciation",
LowerError::NoEntityReferent => "packet cites no entity",
LowerError::UnknownPhone { .. } => {
"ruled pronunciation holds a symbol with no listed phone"
}
LowerError::DanglingStress { .. } => "stress mark with no vowel after it",
LowerError::ConsentMissing { .. } => "request lacks the addressee's consent",
LowerError::AskerNotAddressee { .. } => "request agent is not the addressee",
LowerError::EntityRead { .. } => "entity port failed to read",
LowerError::SceneUnread => "the view's scene was never read",
LowerError::SpeakerTokenTaken => "a referent cites the entity id the speaker token uses",
})
}
}
@ -139,6 +248,7 @@ pub fn lower(
{
return unrendered("features");
}
request_gate(input, inv)?;
if !input.relations().is_empty() {
return unrendered("relations");
}
@ -185,6 +295,59 @@ pub fn lower(
Ok(out)
}
/// The one place consent is read. A request clause ([`REQUEST_FRAME`]) says what
/// the addressee did, so it needs the packet's own record of it: the discourse
/// `addressee_consent`, which validation lets only authoring or game telemetry
/// set (V15), must name that predication, and its agent must be the addressee.
/// Nothing here reads wording. A consent naming any other predication is a slot
/// the lowerer does not render.
fn request_gate(input: &LoweringInput, inv: &Inventory) -> Result<(), LowerError> {
let consent = input.discourse().addressee_consent.as_ref();
let requests = input
.predications()
.iter()
.filter(|p| p.frame.to_string() == REQUEST_FRAME);
for p in requests {
if consent != Some(&p.id) {
return Err(LowerError::ConsentMissing {
predication: p.id.clone(),
});
}
let agent = inv
.entries()
.find(|e| {
e.family() == Family::Role && e.gloss == "agent" && e.live_at(input.inventory_rev())
})
.ok_or_else(|| LowerError::UnknownRole {
frame: p.frame,
role: "agent".to_string(),
})?;
let asker = p
.roles
.iter()
.find(|r| r.role == agent.id)
.map(|r| &r.filler);
if asker.is_none() || asker != input.discourse().addressee.as_ref() {
return Err(LowerError::AskerNotAddressee {
predication: p.id.clone(),
});
}
}
match consent {
Some(_)
if !input
.predications()
.iter()
.any(|p| p.frame.to_string() == REQUEST_FRAME) =>
{
Err(LowerError::Unrendered {
what: "addressee consent",
})
}
_ => Ok(()),
}
}
/// The ruled IPA of every entity a packet cites, one per entity referent in
/// the packet's referent order, as stored: bare, stress-marked, nothing
/// derived. A rejected pronunciation is never read. An entity the port does not
@ -194,13 +357,66 @@ pub fn pronounce(
input: &LoweringInput,
entities: &dyn EntityForms,
) -> Result<Vec<String>, LowerError> {
Ok(ruled(input, entities)?
.into_iter()
.map(|(_, ipa)| ipa)
.collect())
}
/// One entity's ruled pronunciation as the phones line a sound consumer reads:
/// the language tag, the stored IPA it came from, and the segmented phones.
#[derive(Clone, Debug, PartialEq, Eq, Serialize)]
pub struct PhoneLine {
pub language: &'static str,
pub source: String,
pub phones: Vec<Phone>,
}
/// The phones line of every entity a packet cites, in [`pronounce`] order, each
/// segmented by [`TARGET_LANGUAGE`]'s phone inventory. A symbol the inventory
/// does not list refuses the whole call.
pub fn phones(
input: &LoweringInput,
entities: &dyn EntityForms,
) -> Result<Vec<PhoneLine>, LowerError> {
let inventory = PhoneInventory::for_language(TARGET_LANGUAGE);
ruled(input, entities)?
.into_iter()
.map(|(entity, source)| {
let unknown = |at, text| LowerError::UnknownPhone {
entity: entity.clone(),
at,
text,
};
let inventory = inventory.ok_or_else(|| unknown(0, source.clone()))?;
let phones = inventory.segment(&source).map_err(|e| match e {
SegmentError::UnknownPhone { at, text } => unknown(at, text),
SegmentError::DanglingStress { at } => LowerError::DanglingStress {
entity: entity.clone(),
at,
},
})?;
Ok(PhoneLine {
language: TARGET_LANGUAGE,
source,
phones,
})
})
.collect()
}
/// `(entity, ruled IPA)` for each entity referent, in referent order.
fn ruled(
input: &LoweringInput,
entities: &dyn EntityForms,
) -> Result<Vec<(EntityId, String)>, LowerError> {
let mut out = Vec::new();
for id in input.referents().iter().filter_map(|r| r.entity.as_ref()) {
let entity = entity(entities, id)?;
let p = entity
.pronunciation_in(TARGET_LANGUAGE)
.ok_or_else(|| LowerError::NoPronunciation { entity: id.clone() })?;
out.push(p.ipa.clone());
out.push((id.clone(), p.ipa.clone()));
}
if out.is_empty() {
return Err(LowerError::NoEntityReferent);
@ -225,6 +441,10 @@ fn clause(
let close = rest[open..].find('}').map_or(rest.len(), |c| open + c);
let name = &rest[open + 1..close];
rest = &rest[(close + 1).min(rest.len())..];
if name == "verb" {
out.push_str(row(CONCEPTS, p.concept, inv, rev)?);
continue;
}
let role = inv
.entries()
.find(|e| e.family() == Family::Role && e.gloss == name && e.live_at(rev))
@ -289,7 +509,7 @@ fn name(entities: &dyn EntityForms, id: &EntityId) -> Result<String, LowerError>
.ok_or_else(|| LowerError::NoForm { entity: id.clone() })
}
fn entity(entities: &dyn EntityForms, id: &EntityId) -> Result<Entity, LowerError> {
pub(crate) fn entity(entities: &dyn EntityForms, id: &EntityId) -> Result<Entity, LowerError> {
entities
.entity(id)
.map_err(|e| LowerError::EntityRead {

File diff suppressed because it is too large Load diff

130
crates/weksa/src/model.rs Normal file
View file

@ -0,0 +1,130 @@
//! The loop's only door to a model. A model is the Claude session: it reads a
//! prompt file and writes an answer file, and a rerun picks the answer up. No
//! subprocess, network or binary lives here (golf-loop-in-claude).
use std::fmt;
use std::io::ErrorKind;
use std::path::PathBuf;
use crate::context::Prompt;
use crate::store::normalized;
/// A model answering [`Prompt`]s and nothing else.
pub trait ModelPort {
/// The id of the answering model, pinned by the run.
fn model(&self) -> &str;
fn answer(&mut self, prompt: &Prompt) -> Result<String, PortError>;
}
/// Why a prompt got no answer. Display names the kind only.
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub enum PortError {
/// Nobody has answered yet.
Unanswered,
/// The prompt holds the text of an item in a Test group. It is neither written nor answered.
Withheld,
Io(ErrorKind),
}
impl fmt::Display for PortError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
PortError::Unanswered => f.write_str("the prompt is unanswered"),
PortError::Withheld => f.write_str("the prompt holds Test item text"),
PortError::Io(kind) => write!(f, "io error {kind:?}"),
}
}
}
impl std::error::Error for PortError {}
/// Answers from files in one directory: `<digest>.answer` is the reply to the
/// prompt whose digest is `<digest>`; a prompt with no answer is written to
/// `<digest>.prompt` for whoever answers.
pub struct AnswerFiles {
dir: PathBuf,
model: String,
withheld: Vec<String>,
}
impl AnswerFiles {
/// Refuses (`PortError::Withheld`) any prompt that holds the text of one of
/// `withheld`, before it reads or writes a file: the one door a prompt
/// leaves the loop through, so a Test sentence cannot reach a model by it.
pub fn new(dir: PathBuf, model: String, withheld: Vec<String>) -> Self {
Self { dir, model, withheld }
}
}
/// Normalised length from which a Test text is matched. Every live Test text is
/// longer; a shorter one ("Stop.") would match any prompt that says "Stop. Then
/// ...", so a Test item that short is not caught here.
const LONG: usize = 12;
/// Whether `prompt` holds `text`, by the corpus door's own sameness
/// ([`normalized`]: NFKC, case fold, spacing and punctuation dropped): a
/// re-cased, re-spaced, wrapped or width-changed copy still counts.
fn holds(prompt: &str, text: &str) -> bool {
let key = normalized(text);
key.chars().count() >= LONG && normalized(prompt).contains(&key)
}
/// Answers read from one directory and nothing else: `<digest>.answer` is the
/// reply to the prompt whose digest is `<digest>`. A prompt with no file is
/// [`PortError::Unanswered`]; this port never creates or writes anything. The
/// one reader of answer files: [`AnswerFiles`] reads through it.
pub struct RecordedAnswers {
dir: PathBuf,
model: String,
}
impl RecordedAnswers {
pub fn new(dir: PathBuf, model: String) -> Self {
Self { dir, model }
}
}
impl ModelPort for RecordedAnswers {
fn model(&self) -> &str {
&self.model
}
fn answer(&mut self, prompt: &Prompt) -> Result<String, PortError> {
match std::fs::read(self.dir.join(format!("{}.answer", prompt.digest()))) {
Ok(bytes) => {
String::from_utf8(bytes).map_err(|_| PortError::Io(ErrorKind::InvalidData))
}
Err(e) if e.kind() == ErrorKind::NotFound => Err(PortError::Unanswered),
Err(e) => Err(PortError::Io(e.kind())),
}
}
}
impl ModelPort for AnswerFiles {
fn model(&self) -> &str {
&self.model
}
fn answer(&mut self, prompt: &Prompt) -> Result<String, PortError> {
let io = |e: std::io::Error| PortError::Io(e.kind());
if self.withheld.iter().any(|t| holds(prompt.text(), t)) {
return Err(PortError::Withheld);
}
let digest = prompt.digest();
match RecordedAnswers::new(self.dir.clone(), self.model.clone()).answer(prompt) {
Err(PortError::Unanswered) => {}
read => return read,
}
std::fs::create_dir_all(&self.dir).map_err(io)?;
let path = self.dir.join(format!("{digest}.prompt"));
match std::fs::read(&path) {
Ok(held) if held == prompt.text().as_bytes() => {}
Ok(_) => return Err(PortError::Io(ErrorKind::AlreadyExists)),
Err(e) if e.kind() == ErrorKind::NotFound => {
std::fs::write(&path, prompt.text()).map_err(io)?
}
Err(e) => return Err(io(e)),
}
Err(PortError::Unanswered)
}
}

View file

@ -0,0 +1,207 @@
//! The language ontology: per target language, the choices its culture makes
//! about word, grammar, discourse, sound and script for a speaker in a stance
//! (ruling `persona-drives-ontology`). An entry says when it applies (feature
//! conditions over the lowering view's stance, discourse and scene relation) and what it
//! chooses. `select` is the only reader that decides which entries a lowering
//! prompt carries, and it runs only inside `Prompt::lower`;
//! `OntologyStore::admit` is the only writer. Entries are immutable.
use cultcache_rs::DatabaseEntry;
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
use crate::inventory::{InvId, Slot};
use crate::packet::{FeatValue, FeatureValue, Grade};
use crate::speaker::Annotator;
use crate::validate::LoweringInput;
pub const MAX_CONDITIONS: usize = 4;
pub const MAX_EXAMPLES: usize = 3;
pub const MAX_CHOICE_BYTES: usize = 200;
pub const MAX_EXAMPLE_BYTES: usize = 120;
pub const MAX_ENTRIES_PER_LANGUAGE: usize = 64;
/// Which part of the language an entry shapes.
#[derive(Clone, Copy, Debug, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
pub enum Layer {
Lexicon,
Grammar,
Discourse,
Phonology,
Orthography,
}
impl Layer {
pub fn name(self) -> &'static str {
match self {
Layer::Lexicon => "lexicon",
Layer::Grammar => "grammar",
Layer::Discourse => "discourse",
Layer::Phonology => "phonology",
Layer::Orthography => "orthography",
}
}
}
/// What a feature's value must be for a condition to hold.
#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
pub enum Test {
AtLeast(Grade),
AtMost(Grade),
Is(FeatValue),
/// Holds when the feature is absent or a grade at most `g`: a bound that
/// costs nothing where the feature is unrated. `AtMost` still fails on an
/// absent feature.
AtMostOrUnset(Grade),
}
/// One feature of one slot of the view, tested. `Stance`, `Discourse` and
/// `Scene` reach a lowering view; `Speaker` does not yet.
#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
pub struct Condition {
pub slot: Slot,
pub feature: InvId,
pub test: Test,
}
impl Condition {
/// Whether this condition holds over a slot's feature values: the one
/// evaluator `select` and the corpus tests share.
pub fn holds(&self, features: &[FeatureValue]) -> bool {
let Some(found) = features.iter().find(|f| f.feature == self.feature) else {
return matches!(self.test, Test::AtMostOrUnset(_));
};
match (&self.test, &found.value) {
(Test::AtLeast(g), FeatValue::Grade(v)) => v >= g,
(Test::AtMost(g) | Test::AtMostOrUnset(g), FeatValue::Grade(v)) => v <= g,
(Test::Is(want), v) => want == v,
_ => false,
}
}
/// The feature value this condition names, as the inventory check reads it.
pub(crate) fn as_value(&self) -> FeatureValue {
FeatureValue {
feature: self.feature,
value: match &self.test {
Test::AtLeast(g) | Test::AtMost(g) | Test::AtMostOrUnset(g) => FeatValue::Grade(*g),
Test::Is(v) => v.clone(),
},
}
}
}
/// One choice of one language. Key `onto:<language>:<n>`.
///
/// The store judges the form of an entry's text (bounds, normalization, no
/// control or format character) and never its meaning: no door judges text
/// (ruling `leak-owned-by-flow-and-scorer-3`). No Train-only ontology mint
/// exists yet, so a seed or a drafted entry is checked against held-out text by
/// nothing today; follow-up `leak-diagnostic-in-round` owns that diagnostic.
#[derive(Clone, Debug, PartialEq, Eq, JsonSchema, DatabaseEntry)]
#[cultcache(type = "weksa.ontology_entry")]
pub struct OntologyEntry {
#[cultcache(key = 0)]
pub language: String,
/// The entry's number within its language, from 1.
#[cultcache(key = 1)]
pub n: u32,
/// The revision, of the inventory the entry was admitted through, at which the
/// store read its conditions: provenance only; a run reads the conditions'
/// features at its own head.
#[cultcache(key = 2)]
pub inventory_rev: u32,
#[cultcache(key = 3)]
pub layer: Layer,
/// Every condition must hold; none means the entry always applies.
#[cultcache(key = 4)]
pub when: Vec<Condition>,
#[cultcache(key = 5)]
pub choice: String,
#[cultcache(key = 6)]
pub examples: Vec<String>,
#[cultcache(key = 7)]
pub annotator: Annotator,
}
/// `onto:<language>:<n>`.
pub fn ontology_key(language: &str, n: u32) -> String {
format!("onto:{language}:{n}")
}
impl OntologyEntry {
pub fn key(&self) -> String {
ontology_key(&self.language, self.n)
}
}
/// Every entry of the run's ontology store, by language then number.
#[derive(Clone, Debug, Default, PartialEq, Eq)]
pub struct Ontology {
entries: Vec<OntologyEntry>,
}
impl Ontology {
pub fn empty() -> Self {
Self::default()
}
pub(crate) fn of(mut entries: Vec<OntologyEntry>) -> Self {
entries.sort_by(|a, b| (&a.language, a.n).cmp(&(&b.language, b.n)));
Self { entries }
}
pub fn entries(&self) -> &[OntologyEntry] {
&self.entries
}
}
/// The entries of exactly `language` whose every condition holds against the
/// view's stance, discourse and scene-relation features (the scene's only when
/// `with_scene` selected a relation), in `n` order. An absent feature meets no
/// condition except `AtMostOrUnset`. Nothing else of the view is read.
pub fn select<'a>(
o: &'a Ontology,
language: &str,
input: &LoweringInput,
) -> Vec<&'a OntologyEntry> {
o.entries
.iter()
.filter(|e| e.language == language)
.filter(|e| {
e.when.iter().all(|c| match c.slot {
Slot::Stance => c.holds(&input.stance().features),
Slot::Discourse => c.holds(&input.discourse().features),
Slot::Scene => c.holds(input.scene()),
_ => false,
})
})
.collect()
}
#[cfg(test)]
mod tests {
use super::*;
fn cond(test: Test) -> Condition {
Condition { slot: Slot::Discourse, feature: InvId::parse("feature:7").unwrap(), test }
}
fn has(v: FeatValue) -> Vec<FeatureValue> {
vec![FeatureValue { feature: InvId::parse("feature:7").unwrap(), value: v }]
}
fn grade(g: u16) -> Grade {
Grade::new(g).unwrap()
}
#[test]
fn at_most_or_unset_holds_when_absent_or_at_most_and_nothing_else() {
let c = cond(Test::AtMostOrUnset(grade(799)));
assert!(c.holds(&[]));
assert!(c.holds(&has(FeatValue::Grade(grade(799)))));
assert!(c.holds(&has(FeatValue::Grade(grade(0)))));
assert!(!c.holds(&has(FeatValue::Grade(grade(800)))));
assert!(!c.holds(&has(FeatValue::Flag(true))));
// AtMost keeps its meaning: an absent feature fails it.
assert!(!cond(Test::AtMost(grade(799))).holds(&[]));
}
}

View file

@ -16,7 +16,7 @@ pub use crate::inventory::InvId;
use crate::inventory::OptionLabel;
/// Bumped by a commit that changes these types; the published schema moves with it.
pub const SCHEMA_VERSION: u32 = 4;
pub const SCHEMA_VERSION: u32 = 5;
/// Id of a referent or predication within one packet: `n<k>`, `k` a canonical
/// decimal 1..=9999.
@ -261,6 +261,13 @@ pub struct Discourse {
/// Speech-act id.
pub speech_act: Option<InvId>,
pub addressee: Option<NodeId>,
/// The predication the addressee asked for or agreed to. A fact about what
/// the addressee did, never about how the line sounds, so it is no feature:
/// only a source that saw the request may set it (V15), it needs an
/// addressee (V14) and names a predication (V14), and a lowering that
/// speaks for the addressee's request ("you asked her to") reads it here
/// and refuses without it.
pub addressee_consent: Option<NodeId>,
pub features: Vec<FeatureValue>,
}
@ -385,6 +392,7 @@ pub fn proof_packet() -> Packet {
discourse: Discourse {
speech_act: Some(id("speech_act:5")),
addressee: Some(node("n1")),
addressee_consent: None,
features: vec![],
},
referents: vec![

152
crates/weksa/src/phones.rs Normal file
View file

@ -0,0 +1,152 @@
//! The phone inventory and the segmenter: a ruled IPA string to an ordered list of
//! phones with stress, for the consumer that turns phones into sound. The
//! inventory is data (`data/phonology/<language>.phones.tsv`); this module reads
//! it and owns one rule, that every symbol of the string is a phone the inventory
//! lists. A symbol it does not list is refused: no nearest phone, no spelling
//! rule, no guess. Tense/lax is a column of the inventory, so /i/ and /ɪ/ are two
//! phones here, not one phone and a flag on an entity.
//!
//! Stress marks are not phones. `ˈ` (primary) and `ˌ` (secondary) put their
//! stress on the next vowel phone, the syllable's nucleus; every other phone is
//! `none`. A mark with no vowel after it is refused. Durations, pitch and
//! acoustics are the consumer's, never read or written here.
use std::collections::BTreeMap;
use std::sync::OnceLock;
use serde::Serialize;
const EN_US: &str = include_str!("../../../data/phonology/en-US.phones.tsv");
#[derive(Clone, Copy, Debug, PartialEq, Eq, Serialize)]
#[serde(rename_all = "lowercase")]
pub enum Stress {
None,
Primary,
Secondary,
}
/// One phone of a segmented string: its IPA symbol as the inventory spells it
/// and its stress.
#[derive(Clone, Debug, PartialEq, Eq, Serialize)]
pub struct Phone {
pub ipa: String,
pub stress: Stress,
}
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub enum Tenseness {
Tense,
Lax,
Reduced,
}
#[derive(Clone, Debug, PartialEq, Eq)]
pub enum Class {
Consonant,
Vowel(Tenseness),
}
#[derive(Clone, Debug, PartialEq, Eq)]
pub enum SegmentError {
/// The symbol (or the text from it on) matches no inventory phone.
UnknownPhone { at: usize, text: String },
/// A stress mark (`at` is its byte offset) that finds no vowel before the
/// string ends or another mark comes.
DanglingStress { at: usize },
}
pub struct PhoneInventory {
phones: BTreeMap<String, Class>,
longest: usize,
}
impl PhoneInventory {
/// The inventory for a language tag, if one is committed.
pub fn for_language(language: &str) -> Option<&'static PhoneInventory> {
static EN_US_INV: OnceLock<PhoneInventory> = OnceLock::new();
match language {
"en-US" => Some(EN_US_INV.get_or_init(|| {
PhoneInventory::parse(EN_US).expect("the committed en-US phone inventory parses")
})),
_ => None,
}
}
/// Parse the tab-separated inventory. Malformed lines are errors, as are
/// repeated symbols.
pub fn parse(text: &str) -> Result<Self, String> {
let mut phones = BTreeMap::new();
for (n, line) in text.lines().enumerate() {
if line.is_empty() || line.starts_with('#') {
continue;
}
let cols: Vec<&str> = line.split('\t').collect();
let [ipa, class, tenseness, gloss] = cols[..] else {
return Err(format!("line {}: want 4 tab-separated columns", n + 1));
};
let class = match (class, tenseness) {
("consonant", "-") => Class::Consonant,
("vowel", "tense") => Class::Vowel(Tenseness::Tense),
("vowel", "lax") => Class::Vowel(Tenseness::Lax),
("vowel", "reduced") => Class::Vowel(Tenseness::Reduced),
_ => return Err(format!("line {}: bad class/tenseness {class}/{tenseness}", n + 1)),
};
if ipa.is_empty() || gloss.is_empty() || ipa.chars().any(|c| matches!(c, 'ˈ' | 'ˌ')) {
return Err(format!("line {}: empty or stress-marked entry", n + 1));
}
if phones.insert(ipa.to_string(), class).is_some() {
return Err(format!("line {}: {ipa} repeats", n + 1));
}
}
let longest = phones.keys().map(|k| k.chars().count()).max().unwrap_or(0);
Ok(Self { phones, longest })
}
pub fn class(&self, ipa: &str) -> Option<&Class> {
self.phones.get(ipa)
}
/// Segment `ipa` into phones: longest inventory match at each position.
pub fn segment(&self, ipa: &str) -> Result<Vec<Phone>, SegmentError> {
let chars: Vec<(usize, char)> = ipa.char_indices().collect();
let mut out: Vec<Phone> = Vec::new();
let mut pending: Option<(Stress, usize)> = None;
let mut i = 0;
while i < chars.len() {
let at = chars[i].0;
let mark = match chars[i].1 {
'ˈ' => Some(Stress::Primary),
'ˌ' => Some(Stress::Secondary),
_ => None,
};
if let Some(m) = mark {
if let Some((_, was)) = pending {
return Err(SegmentError::DanglingStress { at: was });
}
pending = Some((m, at));
i += 1;
continue;
}
let hit = (1..=self.longest.min(chars.len() - i)).rev().find_map(|len| {
let end = chars.get(i + len).map_or(ipa.len(), |c| c.0);
let s = &ipa[at..end];
self.phones.get(s).map(|c| (len, s, c))
});
let Some((len, s, class)) = hit else {
return Err(SegmentError::UnknownPhone { at, text: ipa[at..].to_string() });
};
let stress = if matches!(class, Class::Vowel(_)) {
pending.take().map_or(Stress::None, |(m, _)| m)
} else {
Stress::None
};
out.push(Phone { ipa: s.to_string(), stress });
i += len;
}
if let Some((_, at)) = pending {
return Err(SegmentError::DanglingStress { at });
}
Ok(out)
}
}

4113
crates/weksa/src/run.rs Normal file

File diff suppressed because it is too large Load diff

View file

@ -0,0 +1,21 @@
//! Pins for private functions of `run.rs` that the doors reach only through a
//! whole run.
use super::*;
/// A line is probed only when it has at least four words, and then it is
/// split in two near its byte middle, the pieces trimmed.
#[test]
fn a_recall_line_splits_from_four_words_and_not_before() {
assert_eq!(recall_split("one two three"), None);
assert_eq!(recall_split(""), None);
assert_eq!(
recall_split("one two three four"),
Some(("one two".to_string(), "three four".to_string()))
);
// No spaces: each ideograph is a word, the split falls at the middle.
assert_eq!(
recall_split("天地不仁以万物为刍狗"),
Some(("天地不仁以".to_string(), "万物为刍狗".to_string()))
);
}

View file

@ -4,7 +4,10 @@
use crate::corpus::CorpusItem;
use crate::entity::Entity;
use crate::inventory::{InventoryEntry, InventoryRevision};
use crate::ontology::OntologyEntry;
use crate::packet::Packet;
use crate::run::{Decision, RoundRecord, RunRecord};
use crate::speaker::{Scene, Speaker};
use cultcache_rs::DatabaseEntry;
use schemars::{JsonSchema, schema_for};
@ -21,5 +24,11 @@ pub fn published() -> Vec<(String, String)> {
published_for::<InventoryRevision>(),
published_for::<CorpusItem>(),
published_for::<Entity>(),
published_for::<Speaker>(),
published_for::<Scene>(),
published_for::<OntologyEntry>(),
published_for::<RunRecord>(),
published_for::<RoundRecord>(),
published_for::<Decision>(),
]
}

View file

@ -56,12 +56,6 @@ pub struct SplitLeak {
pub worst: Option<WorstItem>,
}
#[derive(Clone, Debug, PartialEq, Default)]
pub struct LeakDiagnostic {
pub validation: SplitLeak,
pub test: SplitLeak,
}
/// The distinct word n-grams of a text for each order 1..=ORDERS, over its
/// normalised word segments.
fn grams(text: &str) -> Vec<HashSet<String>> {
@ -145,25 +139,29 @@ fn split_leak(
leak
}
/// Reads minted text (inventory glosses, option labels, later ontology text)
/// against the held-out items. Per held-out item and for n in 1..=3, its word
/// n-grams that occur in no Train item are its novel n-grams; coverage at each
/// n is the covered over the novel n-grams summed across the split's items
/// (unigrams over all minted strings, longer grams within one string). Honest
/// single-word glosses saturate n = 1, so the leak signature is pooled n >= 2
/// and the worst item at n >= 2. Train items are not measured; items in no
/// split are dropped.
pub fn leak_diagnostic(minted: &[&str], items: &[CorpusItem]) -> LeakDiagnostic {
/// The held-out split `want` read against minted text: Train items are the
/// live Train items; the readings are over the live items of `want`.
pub(super) fn held_out(minted: &[&str], items: &[CorpusItem], want: Split) -> SplitLeak {
let of = |want: Split| -> Vec<&CorpusItem> {
items
.iter()
.filter(|i| SplitScheme::V1.split(i) == Some(want))
.filter(|i| SplitScheme::V1.live(i) == Some(want))
.collect()
};
let train = union(of(Split::Train).iter().map(|i| i.text.as_str()));
let minted_grams = union(minted.iter().copied());
LeakDiagnostic {
validation: split_leak(minted, &train, &minted_grams, &of(Split::Validation)),
test: split_leak(minted, &train, &minted_grams, &of(Split::Test)),
}
split_leak(minted, &train, &minted_grams, &of(want))
}
/// Reads minted text (inventory glosses, option labels, later ontology text)
/// against the Validation items. Per Validation item and for n in 1..=3, its
/// word n-grams that occur in no Train item are its novel n-grams; coverage at
/// each n is the covered over the novel n-grams summed across the split's
/// items (unigrams over all minted strings, longer grams within one string).
/// Honest single-word glosses saturate n = 1, so the leak signature is pooled
/// n >= 2 and the worst item at n >= 2. Train items are not measured; withdrawn
/// items and items in no split are dropped. Test is read only through
/// `TestReadings`.
pub fn leak_diagnostic(minted: &[&str], items: &[CorpusItem]) -> SplitLeak {
held_out(minted, items, Split::Validation)
}

View file

@ -2,7 +2,9 @@
//! output against the whole reference. Nothing is deleted, hidden or replaced
//! before either is read, and the scorer takes no input from a packet, so no
//! text the output carries can raise a score except by resembling the
//! reference. No door judges text; the diagnostics report.
//! reference. No door judges text; the diagnostics report. The round path
//! (`aggregate`, `leak_diagnostic`) reads Train and Validation; Test is read
//! only through `TestReadings::at_checkpoint` (convergence-test).
mod chrf;
mod diagnostics;
@ -10,15 +12,15 @@ mod embed;
mod words;
use anyhow::{Result, ensure};
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
pub use chrf::{CHRF_VERSION, chrf};
pub use diagnostics::{
LeakDiagnostic, OrderCoverage, PairChrf, SplitLeak, WorstItem, leak_diagnostic,
};
pub use diagnostics::{OrderCoverage, PairChrf, SplitLeak, WorstItem, leak_diagnostic};
pub use embed::{Embedder, OllamaEmbedder, cosine};
use crate::corpus::CorpusItem;
use crate::split::{Split, SplitScheme};
use crate::split::{Checkpoint, Split, SplitScheme};
/// One reference/output pair; both are scored whole.
pub struct ScoreInput<'a> {
@ -26,7 +28,7 @@ pub struct ScoreInput<'a> {
pub output: &'a str,
}
#[derive(Clone, Debug, PartialEq)]
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
pub struct ItemScore {
/// chrF of the output against the reference.
pub chrf: f64,
@ -102,7 +104,7 @@ impl<E: Embedder> Scorer<E> {
}
/// Mean scores of one derived split.
#[derive(Clone, Debug, PartialEq, Default)]
#[derive(Clone, Debug, PartialEq, Default, Serialize, Deserialize, JsonSchema)]
pub struct SplitMean {
pub count: usize,
/// `None` when the split has no items.
@ -111,34 +113,251 @@ pub struct SplitMean {
pub meaning: Option<f64>,
}
/// The round readings a round record may hold. The scorer decides when Test
/// can be read, by type: `Aggregate` has no Test field.
///
/// ```
/// let agg = weksa::score::aggregate(&[]);
/// let _ = agg.validation;
/// ```
///
/// ```compile_fail
/// let agg = weksa::score::aggregate(&[]);
/// let _ = agg.test;
/// ```
#[derive(Clone, Debug, PartialEq, Default)]
pub struct Aggregate {
pub train: SplitMean,
pub validation: SplitMean,
pub test: SplitMean,
}
/// Groups scores by the item's derived split. Items in no split are counted
/// nowhere. The scorer only groups: the loop decides when Test is read.
pub fn aggregate(scored: &[(&CorpusItem, ItemScore)]) -> Aggregate {
let mean = |want: Split| {
let of: Vec<&ItemScore> = scored
.iter()
.filter(|(item, _)| SplitScheme::V1.split(item) == Some(want))
.map(|(_, score)| score)
.collect();
let average = |values: Vec<f64>| {
(!values.is_empty()).then(|| values.iter().sum::<f64>() / values.len() as f64)
};
SplitMean {
count: of.len(),
chrf: average(of.iter().map(|s| s.chrf).collect()),
meaning: average(of.iter().filter_map(|s| s.meaning).collect()),
}
/// The scores of the items read in split `want`, in list order.
fn scores_in<'a>(scored: &'a [(&CorpusItem, ItemScore)], want: Split) -> Vec<&'a ItemScore> {
scored
.iter()
.filter(|(item, _)| SplitScheme::V1.live(item) == Some(want))
.map(|(_, score)| score)
.collect()
}
/// The mean of the scores of the items read in split `want`.
fn split_mean(scored: &[(&CorpusItem, ItemScore)], want: Split) -> SplitMean {
let of = scores_in(scored, want);
let average = |values: Vec<f64>| {
(!values.is_empty()).then(|| values.iter().sum::<f64>() / values.len() as f64)
};
Aggregate {
train: mean(Split::Train),
validation: mean(Split::Validation),
test: mean(Split::Test),
SplitMean {
count: of.len(),
chrf: average(of.iter().map(|s| s.chrf).collect()),
meaning: average(of.iter().filter_map(|s| s.meaning).collect()),
}
}
/// Groups scores by the split each item is read in. Items read in no split
/// (withdrawn, or model-written in a Test group) are counted nowhere.
pub fn aggregate(scored: &[(&CorpusItem, ItemScore)]) -> Aggregate {
Aggregate {
train: split_mean(scored, Split::Train),
validation: split_mean(scored, Split::Validation),
}
}
/// The Validation items' scores in list order, numbers only: no key, no text.
/// A refused item arrives scored 0 and keeps its position.
pub fn validation_items(scored: &[(&CorpusItem, ItemScore)]) -> Vec<ItemScore> {
scores_in(scored, Split::Validation).into_iter().cloned().collect()
}
/// The Test split's readings, scalars only: no item key, no minted string, no
/// pair. The checkpoint decision (convergence-test) needs numbers; a key beside
/// a minted string is the handle an edit step would act on. The only producer
/// is `at_checkpoint`, which consumes a `Checkpoint`; only the lib can make one.
///
/// ```
/// use weksa::score::TestReadings;
/// fn f(t: TestReadings) -> usize { t.count() }
/// ```
///
/// ```compile_fail
/// use weksa::score::TestReadings;
/// fn f(t: TestReadings) { let _u = t.clone(); }
/// ```
///
/// ```compile_fail
/// use weksa::score::TestReadings;
/// fn f(t: TestReadings) { let _ = format!("{t:?}"); }
/// ```
///
/// ```compile_fail
/// use weksa::score::TestReadings;
/// fn s<T: serde::Serialize>(_: &T) {}
/// fn f(t: TestReadings) { s(&t); }
/// ```
pub struct TestReadings {
mean: SplitMean,
leak: SplitLeak,
}
impl TestReadings {
/// Reads the live Test items against the scores and the minted strings,
/// by the same `split_leak` method the Validation reading uses. The
/// checkpoint is spent.
pub fn at_checkpoint(
checkpoint: Checkpoint,
scored: &[(&CorpusItem, ItemScore)],
minted: &[&str],
items: &[CorpusItem],
) -> TestReadings {
let _spent = checkpoint;
TestReadings {
mean: split_mean(scored, Split::Test),
leak: diagnostics::held_out(minted, items, Split::Test),
}
}
/// Scored Test items.
pub fn count(&self) -> usize {
self.mean.count
}
pub fn chrf(&self) -> Option<f64> {
self.mean.chrf
}
pub fn meaning(&self) -> Option<f64> {
self.mean.meaning
}
/// Test items in the leak reading.
pub fn items(&self) -> usize {
self.leak.items
}
/// The highest chrF of any minted string against any Test item; the score
/// only, never the pair.
pub fn max_chrf(&self) -> Option<f64> {
self.leak.max_chrf.as_ref().map(|p| p.chrf)
}
pub fn coverage_by_n(&self) -> &[OrderCoverage] {
&self.leak.coverage_by_n
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::split::fixture::{group_in, item};
const HELD_OUT: &str = "extraordinary lighthouse keepers whispered unforgettable stories throughout midnight thunderstorms before surrendering peacefully";
const UNRELATED: &str = "harbor ledgers record ordinary tides";
fn score(chrf: f64, meaning: Option<f64>) -> ItemScore {
ItemScore { chrf, meaning }
}
fn in_split(key: &str, text: &str, split: Split, model: bool) -> CorpusItem {
item(key, text, &group_in(split), model)
}
#[test]
fn validation_items_keeps_validation_only_in_order() {
let train = in_split("item:t:1", UNRELATED, Split::Train, false);
let first = in_split("item:v:1", "first words", Split::Validation, false);
let refused = in_split("item:v:2", "second words", Split::Validation, false);
let last = in_split("item:v:3", "third words", Split::Validation, false);
let mut gone = in_split("item:v:4", "withdrawn words", Split::Validation, false);
gone.withdrawn = true;
let test = in_split("item:c:1", HELD_OUT, Split::Test, false);
let scored = [
(&train, score(10.0, Some(0.1))),
(&first, score(40.0, Some(0.4))),
(&test, score(60.0, Some(0.6))),
(&refused, score(0.0, Some(0.0))),
(&gone, score(90.0, Some(0.9))),
(&last, score(80.0, None)),
];
let got = validation_items(&scored);
assert_eq!(
got,
[score(40.0, Some(0.4)), score(0.0, Some(0.0)), score(80.0, None)]
);
assert_eq!(got.len(), aggregate(&scored).validation.count);
}
#[test]
fn test_readings_at_checkpoint() {
let train_item = in_split("item:t:1", UNRELATED, Split::Train, false);
let test = in_split("item:c:1", HELD_OUT, Split::Test, false);
let test_model = in_split("item:c:2", "model words here", Split::Test, true);
let mut gone = in_split("item:c:3", "withdrawn words", Split::Test, false);
gone.withdrawn = true;
let val = in_split(
"item:v:1",
"gardening is quiet work",
Split::Validation,
false,
);
let items = [
train_item.clone(),
test.clone(),
test_model.clone(),
gone.clone(),
val.clone(),
];
let scored = [
(&train_item, score(10.0, Some(0.5))),
(&val, score(40.0, Some(0.8))),
(&test, score(60.0, Some(0.6))),
(&test_model, score(100.0, Some(1.0))),
(&gone, score(90.0, Some(0.9))),
];
let t = TestReadings::at_checkpoint(Checkpoint::for_test(2), &scored, &[HELD_OUT], &items);
assert_eq!(
(t.count(), t.chrf(), t.meaning()),
(1, Some(60.0), Some(0.6))
);
assert_eq!(
t.items(),
1,
"model-written and withdrawn Test items are excluded"
);
assert!(t.max_chrf().unwrap() > 99.0);
assert_eq!(t.coverage_by_n()[2].share, Some(1.0));
// A minted string that is not the Test text reads low.
let t = TestReadings::at_checkpoint(Checkpoint::for_test(2), &scored, &["zzz"], &items);
assert!(t.max_chrf().unwrap() < 20.0);
assert_eq!(t.coverage_by_n()[2].share, Some(0.0));
let empty = TestReadings::at_checkpoint(Checkpoint::for_test(2), &[], &[HELD_OUT], &[]);
assert_eq!(
(empty.count(), empty.chrf(), empty.meaning()),
(0, None, None)
);
assert_eq!((empty.items(), empty.max_chrf()), (0, None));
}
#[test]
fn validation_and_test_leak_agree_in_method() {
// The same text and minted strings, once in Validation and once in
// Test, read the same numbers.
let words: Vec<&str> = HELD_OUT.split(' ').collect();
let chunks: Vec<String> = words.chunks(3).map(|c| c.join(" ")).collect();
let minted: Vec<&str> = chunks.iter().map(String::as_str).collect();
let train_item = in_split("item:t:1", UNRELATED, Split::Train, false);
let v = leak_diagnostic(
&minted,
&[
in_split("item:v:1", HELD_OUT, Split::Validation, false),
train_item.clone(),
],
);
let test = in_split("item:c:1", HELD_OUT, Split::Test, false);
let t =
TestReadings::at_checkpoint(Checkpoint::for_test(1), &[], &minted, &[test, train_item]);
assert_eq!(t.items(), v.items);
assert_eq!(t.max_chrf(), v.max_chrf.as_ref().map(|p| p.chrf));
assert_eq!(t.coverage_by_n(), v.coverage_by_n.as_slice());
}
}

View file

@ -13,8 +13,10 @@
//! word, never one word per character: per-character words would make every
//! honest single-word gloss share bigrams with a held-out sentence, which is
//! the leak signature. A change between such a run and any other script also
//! ends a word. A leak in these scripts shows at n = 1 and in chrF; a
//! dictionary segmenter is the ja-JP panel's to add.
//! ends a word. The n >= 2 coverage signature is therefore blind on these
//! scripts: a leak there shows at n = 1 and in max pairwise chrF, which is
//! character n-grams and script-blind. A dictionary segmenter is follow-up
//! `ja-word-segmenter`.
use caseless::default_case_fold_str;
use unicode_normalization::UnicodeNormalization;

134
crates/weksa/src/speaker.rs Normal file
View file

@ -0,0 +1,134 @@
//! The speaker-state documents: a speaker's stable axes and a scene's relations.
//! Both are append-only revisions under one key per revision and hold typed
//! feature values only, never text (ruling `leak-owned-by-flow-and-scorer-3`).
//! `SpeakerStateStore` is their only writer; `LoweringInput::with_scene` is the
//! only reader that reaches a lowering view.
use cultcache_rs::DatabaseEntry;
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
use crate::corpus::ModelFamily;
use crate::packet::{EntityId, FeatureValue};
/// The most participants one scene holds.
pub const MAX_PARTICIPANTS: usize = 64;
/// Who annotated a document. A model's generator is an attestation string, held
/// to the same form as every provenance string.
#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
pub enum Annotator {
Operator,
Model {
family: ModelFamily,
generator: String,
},
}
/// The speaker's stable axes. Key `speaker:<entity slug>@<n>`; a revision
/// appends and never edits.
#[derive(Clone, Debug, PartialEq, Eq, JsonSchema, DatabaseEntry)]
#[cultcache(type = "weksa.speaker")]
pub struct Speaker {
#[cultcache(key = 0)]
pub entity: EntityId,
/// The revision, from 1.
#[cultcache(key = 1)]
pub n: u32,
#[cultcache(key = 2)]
pub inventory_rev: u32,
/// Feature values of slot `Speaker`.
#[cultcache(key = 3)]
pub features: Vec<FeatureValue>,
#[cultcache(key = 4)]
pub annotator: Annotator,
}
/// The other party of a relation. `Unnamed` is an addressee the scene does not
/// name, such as the player or a crowd.
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Serialize, Deserialize, JsonSchema)]
pub enum Party {
Named(EntityId),
Unnamed,
}
/// The speaker's relation to one party: feature values of slot `Scene`.
#[derive(Clone, Debug, PartialEq, Eq, Serialize, Deserialize, JsonSchema)]
pub struct PairRelation {
pub from: EntityId,
pub to: Party,
pub features: Vec<FeatureValue>,
}
/// A scene: its participants and the relations between them. Key
/// `scene:<group>@<n>`; a revision appends and never edits.
#[derive(Clone, Debug, PartialEq, Eq, JsonSchema, DatabaseEntry)]
#[cultcache(type = "weksa.scene")]
pub struct Scene {
/// The corpus split group of the scene, a slug.
#[cultcache(key = 0)]
pub group: String,
/// The revision, from 1.
#[cultcache(key = 1)]
pub n: u32,
/// The revision, of the inventory the scene was admitted through, at which
/// `put_scene` read its features: provenance only; a run never reads it.
#[cultcache(key = 2)]
pub inventory_rev: u32,
#[cultcache(key = 3)]
pub participants: Vec<EntityId>,
#[cultcache(key = 4)]
pub relations: Vec<PairRelation>,
#[cultcache(key = 5)]
pub annotator: Annotator,
}
impl Scene {
/// The first of `speakers` the scene does not list as a participant: the
/// one rule of scene coverage, applied where a scene is put and where it is
/// read.
pub fn uncovered<'a>(
&self,
speakers: impl IntoIterator<Item = &'a EntityId>,
) -> Option<&'a EntityId> {
speakers
.into_iter()
.find(|s| !self.participants.contains(s))
}
/// The features of the relation from `speaker` to the named `addressee`, or
/// to `Unnamed` when there is none; `None` when the scene holds no such
/// relation (a relation with no features is `Some(&[])`). A named
/// addressee the scene lacks never falls back to `Unnamed`.
pub fn relation(
&self,
speaker: &EntityId,
addressee: Option<&EntityId>,
) -> Option<&[FeatureValue]> {
self.relations
.iter()
.find(|r| {
&r.from == speaker
&& match (&r.to, addressee) {
(Party::Named(a), Some(b)) => a == b,
(Party::Unnamed, None) => true,
_ => false,
}
})
.map(|r| r.features.as_slice())
}
}
/// `speaker:<entity slug>@<n>`.
pub fn speaker_key(entity: &EntityId, n: u32) -> String {
let slug = entity
.as_str()
.strip_prefix("entity:")
.unwrap_or(entity.as_str());
format!("speaker:{slug}@{n}")
}
/// `scene:<group>@<n>`.
pub fn scene_key(group: &str, n: u32) -> String {
format!("scene:{group}@{n}")
}

View file

@ -1,5 +1,13 @@
//! The train/validation/test split is derived from an item's group and nothing
//! else. No stored assignment exists, so no writer can reassign one.
//! else. No stored assignment exists, so no writer can reassign one. An item is
//! read in its live split. The round path (round records, prompts, `aggregate`,
//! `leak_diagnostic`) carries no Test reading; a typed `TestReadings` and a Test
//! `EncoderOffer` need a Checkpoint, and only the lib can make one
//! (convergence-freeze adds the door). Operator tools (`weksa corpus dump`,
//! `weksa score`, `CorpusStore`) read corpus text of any split; that is not
//! gated here.
use std::collections::BTreeSet;
use crate::corpus::{CorpusItem, Source};
@ -16,15 +24,38 @@ pub enum SplitScheme {
V1,
}
pub fn fnv1a64(bytes: &[u8]) -> u64 {
pub const fn fnv1a64(bytes: &[u8]) -> u64 {
fnv1a64_fold(0xcbf2_9ce4_8422_2325, bytes)
}
/// FNV-1a 64 of the parts, each preceded by its length as eight little-endian
/// bytes, so no two different splits of the same bytes share a digest.
pub const fn fnv1a64_of(parts: &[&[u8]]) -> u64 {
let mut h: u64 = 0xcbf2_9ce4_8422_2325;
for b in bytes {
h ^= u64::from(*b);
h = h.wrapping_mul(0x0000_0100_0000_01b3);
let mut p = 0;
while p < parts.len() {
h = fnv1a64_fold(h, &(parts[p].len() as u64).to_le_bytes());
h = fnv1a64_fold(h, parts[p]);
p += 1;
}
h
}
const fn fnv1a64_fold(mut h: u64, bytes: &[u8]) -> u64 {
let mut i = 0;
while i < bytes.len() {
h ^= bytes[i] as u64;
h = h.wrapping_mul(0x0000_0100_0000_01b3);
i += 1;
}
h
}
/// 16 lowercase hex digits, zero-padded: how a digest is written everywhere.
pub(crate) fn hex16(n: u64) -> String {
format!("{n:016x}")
}
impl SplitScheme {
/// 0..100, FNV-1a 64 of `weksa-split-v1:` + group, mod 100.
pub fn bucket(self, group: &str) -> u64 {
@ -51,4 +82,142 @@ impl SplitScheme {
split => Some(split),
}
}
/// The split an item is read in; a withdrawn item is read in none.
pub fn live(self, item: &CorpusItem) -> Option<Split> {
if item.withdrawn {
None
} else {
self.split(item)
}
}
}
/// Permission to read Test once, as typed `TestReadings` or as Test
/// `EncoderOffer`s. Only the weksa lib can make one: there is no public
/// constructor, so no code outside it can obtain those. This is not a seal on
/// corpus text: operator tools and `CorpusStore` can read any item, and the
/// guarded invariant is that the round path holds no Test reading. The one door
/// is added by
/// convergence-freeze, which builds a `Checkpoint` from the convergence window
/// over the run's persisted round records (convergence-test).
/// `TestReadings::at_checkpoint` consumes it, so one `Checkpoint` buys one Test
/// reading. One `Checkpoint` also offers each item at most once
/// (`EncoderOffer::for_checkpoint`), and an offer borrows its Checkpoint, so it
/// cannot outlive the reading that spends it.
///
/// ```
/// fn f(c: &weksa::split::Checkpoint) -> u32 { c.round() }
/// ```
///
/// No public constructor:
///
/// ```compile_fail
/// let _ = weksa::split::Checkpoint::declare(1);
/// ```
///
/// The test constructor is not exported (this doctest names it today; the
/// line-based tripwire in `tests/checkpoint_door.rs` catches only common
/// single-line forms of a new public constructor):
///
/// ```compile_fail
/// let _ = weksa::split::Checkpoint::for_test(1);
/// ```
///
/// ```compile_fail
/// let _ = weksa::split::Checkpoint { round: 1, offered: Default::default() };
/// ```
///
/// One reading per checkpoint:
///
/// ```
/// use weksa::score::TestReadings;
/// use weksa::split::Checkpoint;
/// fn f(c: Checkpoint) { let _ = TestReadings::at_checkpoint(c, &[], &[], &[]); }
/// ```
///
/// ```compile_fail
/// use weksa::score::TestReadings;
/// use weksa::split::Checkpoint;
/// fn f(c: Checkpoint) {
/// let _ = TestReadings::at_checkpoint(c, &[], &[], &[]);
/// let _ = TestReadings::at_checkpoint(c, &[], &[], &[]);
/// }
/// ```
///
/// ```compile_fail
/// fn f(c: weksa::split::Checkpoint) { let _ = c.clone(); }
/// ```
pub struct Checkpoint {
round: u32,
offered: BTreeSet<String>,
}
impl Checkpoint {
#[cfg(test)]
pub(crate) fn for_test(round: u32) -> Self {
Self {
round,
offered: BTreeSet::new(),
}
}
/// Records `key` as offered; false when it already was.
pub(crate) fn first_offer(&mut self, key: &str) -> bool {
self.offered.insert(key.to_string())
}
pub fn round(&self) -> u32 {
self.round
}
}
#[cfg(test)]
mod mutants;
/// Item builders for the unit tests that live in `src`: the twins of
/// `tests/common`'s `group_in_bucket`, `item_in`, `cast` and `model`.
#[cfg(test)]
pub(crate) mod fixture {
use super::{Split, SplitScheme};
use crate::corpus::{CorpusItem, ModelFamily, Source};
use crate::packet::EntityId;
/// The first group `g<i>` whose V1 bucket is in `split`.
pub(crate) fn group_in(split: Split) -> String {
(0..100_000)
.map(|i| format!("g{i}"))
.find(|g| SplitScheme::V1.of_bucket(SplitScheme::V1.bucket(g)) == split)
.unwrap()
}
pub(crate) fn item(key: &str, text: &str, group: &str, model_written: bool) -> CorpusItem {
let source = if model_written {
Source::ModelWritten {
family: ModelFamily::Unrecorded,
generator: None,
prompt_digest: None,
}
} else {
Source::CastAuthored {
persona: "nibu".into(),
fixture: "f.yaml".into(),
author: "Ada Writer".into(),
}
};
CorpusItem {
id: key.into(),
text: text.into(),
language: "en-US".into(),
speaker: EntityId::parse("entity:nibu").unwrap(),
names: vec![],
names_by: None,
group: group.into(),
prior_turns: vec![],
source,
admitted_on: "2026-10-29".into(),
supersedes: None,
withdrawn: false,
}
}
}

View file

@ -0,0 +1,11 @@
//! Pins of private items of `split` found unpinned by mutation testing.
use super::Checkpoint;
/// A checkpoint reports the round it was declared at, whatever the round.
#[test]
fn a_checkpoint_reports_its_round() {
assert_eq!(Checkpoint::for_test(7).round(), 7);
assert_eq!(Checkpoint::for_test(0).round(), 0);
assert_eq!(Checkpoint::for_test(1).round(), 1);
}

View file

@ -7,16 +7,26 @@ use std::fmt;
use std::path::Path;
use caseless::default_case_fold_str;
use cultcache_rs::{CultCache, SingleFileMessagePackBackingStore};
use cultcache_rs::{CacheBackingStore, CultCache, SingleFileMessagePackBackingStore};
use unicode_normalization::{UnicodeNormalization, char::is_combining_mark, is_nfc};
use unicode_segmentation::UnicodeSegmentation;
use crate::corpus::{CorpusItem, CorpusItemId, Source, item_key, key_slug};
use crate::split::{Split, SplitScheme};
use crate::entity::{Entity, EntityOrigin, Pronunciation};
use crate::form::{is_attestation, is_joining_only, is_language_tag, is_refused_format};
use crate::inventory::{Change, InvId, Inventory, InventoryEntry, InventoryRevision, revision_key};
use crate::packet::{EntityId, Packet};
use crate::validate::{LoweringInput, Refusal, admissible};
use crate::form::{
is_attestation, is_calendar_date, is_joining_only, is_language_tag, is_refused_format, is_slug,
};
use crate::inventory::{
Change, InvId, Inventory, InventoryEntry, InventoryRevision, Slot, revision_key,
};
use crate::ontology::{
MAX_CONDITIONS, MAX_CHOICE_BYTES, MAX_ENTRIES_PER_LANGUAGE, MAX_EXAMPLE_BYTES, MAX_EXAMPLES,
Ontology, OntologyEntry, Test,
};
use crate::packet::{EntityId, FeatValue, Packet};
use crate::speaker::{Annotator, MAX_PARTICIPANTS, Party, Scene, Speaker, scene_key, speaker_key};
use crate::validate::{LoweringInput, Refusal, feature_refusals, validate};
/// A broken store rule, named.
#[derive(Clone, Debug, PartialEq, Eq)]
@ -77,10 +87,61 @@ pub enum StoreRefusal {
/// A new packet names a corpus item already withdrawn. Packets admitted
/// before the withdrawal stay stored and readable.
WithdrawnCorpusItem { key: String },
/// A speaker or scene revision that is not the entity's or group's latest
/// plus one (1 when none).
RevisionNotNext {
key: String,
expected: u32,
got: u32,
},
/// A scene that omits the speaker of a live item of its group.
SceneSpeakerMissing { group: String, entity: EntityId },
/// Any other malformed document or change.
Malformed { key: String, why: &'static str },
}
/// What the CLI prints: the rule broken and the numbers and reasons that
/// explain it. Item keys, entity ids and groups are the caller's identifiers
/// and are left to the typed value, never to text.
impl fmt::Display for StoreRefusal {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
use StoreRefusal::*;
match self {
S1ItemImmutable { .. } => f.write_str("S1ItemImmutable"),
S2RevisionChain { expected, got } => {
write!(f, "S2RevisionChain expected {expected} got {got}")
}
S3Frozen { frozen } => write!(f, "S3Frozen at {frozen}"),
S4IntroducedRev {
introduced,
revision,
..
} => write!(f, "S4IntroducedRev {introduced} in revision {revision}"),
S5SupersedeGroup { .. } => f.write_str("S5SupersedeGroup"),
S6TextHeld { .. } => f.write_str("S6TextHeld"),
UnknownCorpusItem { .. } => f.write_str("UnknownCorpusItem"),
PacketImmutable { .. } => f.write_str("PacketImmutable"),
UnknownEntity { .. } => f.write_str("UnknownEntity"),
NameSpanRange { start, end, .. } => write!(f, "NameSpanRange {start}..{end}"),
NameSpanSplitsCluster { start, end, .. } => {
write!(f, "NameSpanSplitsCluster {start}..{end}")
}
NotNfc { .. } => f.write_str("NotNfc"),
EntityBounds { bound, .. } => write!(f, "EntityBounds {bound:?}"),
NameSpanOverlap { .. } => f.write_str("NameSpanOverlap"),
NameSpanNotAForm { start, end, .. } => write!(f, "NameSpanNotAForm {start}..{end}"),
EntityNotAppendOnly { .. } => f.write_str("EntityNotAppendOnly"),
EntityNotOnItem { .. } => f.write_str("EntityNotOnItem"),
WithdrawnCorpusItem { .. } => f.write_str("WithdrawnCorpusItem"),
RevisionNotNext { expected, got, .. } => {
write!(f, "RevisionNotNext expected {expected} got {got}")
}
SceneSpeakerMissing { .. } => f.write_str("SceneSpeakerMissing"),
Malformed { why, .. } => write!(f, "Malformed: {why}"),
}
}
}
/// The capacity bound an entity broke.
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub enum EntityBound {
@ -111,7 +172,7 @@ pub enum StoreError {
impl fmt::Display for StoreError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
StoreError::Refused(r) => write!(f, "refused: {r:?}"),
StoreError::Refused(r) => write!(f, "refused: {r}"),
StoreError::Invalid(rs) => {
write!(f, "invalid packet:")?;
rs.iter().try_for_each(|r| write!(f, " [{r}]"))
@ -143,16 +204,23 @@ fn malformed(key: &str, why: &'static str) -> StoreError {
.into()
}
fn open_cache(
pub(crate) fn open_cache(
path: &Path,
register: impl FnOnce(&mut CultCache) -> anyhow::Result<()>,
) -> anyhow::Result<CultCache> {
if let Some(dir) = path.parent() {
std::fs::create_dir_all(dir)?;
}
open_cache_over(SingleFileMessagePackBackingStore::new(path), register)
}
pub(crate) fn open_cache_over(
store: impl CacheBackingStore + 'static,
register: impl FnOnce(&mut CultCache) -> anyhow::Result<()>,
) -> anyhow::Result<CultCache> {
let mut cache = CultCache::new();
register(&mut cache)?;
cache.add_generic_backing_store(SingleFileMessagePackBackingStore::new(path))?;
cache.add_generic_backing_store(store)?;
cache.pull_all_backing_stores()?;
Ok(cache)
}
@ -181,6 +249,17 @@ impl CorpusStore {
Ok(items)
}
/// The text of every item in a Test group, any language, withdrawn and
/// model-written ones included: what no prompt may hold.
pub fn test_texts(&self) -> anyhow::Result<Vec<String>> {
Ok(self
.all()?
.into_iter()
.filter(|item| SplitScheme::V1.of_bucket(SplitScheme::V1.bucket(&item.group)) == Split::Test)
.map(|item| item.text)
.collect())
}
pub fn get(&self, key: &str) -> anyhow::Result<Option<CorpusItem>> {
self.cache.get::<CorpusItem>(key)
}
@ -241,12 +320,33 @@ impl CorpusStore {
return Err(StoreRefusal::NotNfc { key: item.id }.into());
}
let text = normalized(&item.text);
if !text.chars().any(char::is_alphanumeric) {
return Err(malformed(&item.id, "text has no alphanumeric character"));
// Read from the text as given: NFKC maps modifier letters (ʰ) to base letters.
// A text of marks, joiners and modifiers says so; any other text with
// no alphanumeric character (punctuation, space) gets the plainer reason.
if !item.text.chars().any(is_base) {
let marks_only = item.text.chars().any(|c| {
is_combining_mark(c)
|| matches!(c, '\u{200c}' | '\u{200d}')
|| is_modifier_letter(c)
});
return Err(malformed(
&item.id,
if marks_only {
"text has no base letter or digit"
} else {
"text has no alphanumeric character"
},
));
}
if !is_calendar_date(&item.admitted_on) {
return Err(malformed(&item.id, "admitted_on is not a YYYY-MM-DD date"));
}
if let Some(why) = empty_attestation(&item.source) {
return Err(malformed(&item.id, why));
}
if let Some(by) = &item.names_by {
check_annotator(&item.id, by)?;
}
check_entities(&item, entities)?;
for held in self.all()? {
if normalized(&held.text) == text && item.supersedes.as_deref() != Some(&held.id) {
@ -364,16 +464,160 @@ fn check_entities(item: &CorpusItem, entities: &EntityStore) -> Result<(), Store
/// default case fold, NFKC) keeping letters, digits and combining marks
/// (General_Category L, N, M) so tone marks and viramas keep words apart. Composed and decomposed,
/// fullwidth, ligature and case-fold variants (straße, STRASSE) and spacing and
/// punctuation variants compare equal. Homoglyphs across scripts (Cyrillic a for
/// Latin a) stay apart: no key here reads what a character looks like.
fn normalized(text: &str) -> String {
let folded = default_case_fold_str(&text.nfkc().collect::<String>());
folded
/// punctuation variants compare equal. Three writings of one thing also fold:
/// Turkish dotless i and dotted capital I read as i, katakana reads as the
/// hiragana of the same syllable, and Arabic-Indic and Extended Arabic-Indic
/// digits read as 0-9. Homoglyphs across scripts (Cyrillic a for Latin a) stay
/// apart: no key here reads what a character looks like. A combining dot above
/// (U+0307) after i is dropped, so İx and i̇x collide as the old case fold made
/// them; so does plain ix, with both. Over-merging a rare sequence errs toward
/// held, a lost collision toward leak. U+0307 after any other letter stays.
pub(crate) fn normalized(text: &str) -> String {
let mapped: String = text.nfkc().flat_map(fold_variant).collect();
// The dot goes before the last NFKC so the marks left on the i compose with
// it (i, dot, acute reads as the i with an acute).
let mut dotless = String::new();
for c in default_case_fold_str(&mapped).chars() {
if c == '\u{307}' && dotless.ends_with('i') {
continue;
}
dotless.push(c);
}
dotless
.nfkc()
.filter(|c| c.is_alphanumeric() || is_combining_mark(*c))
.filter(|&c| c.is_alphanumeric() || is_combining_mark(c))
.collect()
}
/// The one-to-one folds `normalized` adds to NFKC and case folding, applied
/// before the case fold. (U+0130 needs no arm: it folds to i plus a combining
/// dot, and the `dotless` loop in `normalized` drops that dot after an `i`, so
/// the key is plain `i`.)
fn fold_variant(c: char) -> impl Iterator<Item = char> {
let one = |c: char| (c, None);
let (first, second) = match c {
'\u{131}' => one('i'),
// Voiced katakana wa, wi, we, wo: the hiragana (U+308F-3092) plus the
// combining voiced mark, which is how NFKC spells the hiragana forms.
'\u{30f7}'..='\u{30fa}' => (
char::from_u32(c as u32 - 0x68).unwrap_or(c),
Some('\u{3099}'),
),
// Katakana letters and small letters to hiragana; the iteration marks
// ヽヾ to ゝゞ. The prolonged sound mark U+30FC stays.
'\u{30a1}'..='\u{30f6}' | '\u{30fd}'..='\u{30fe}' => {
one(char::from_u32(c as u32 - 0x60).unwrap_or(c))
}
'\u{660}'..='\u{669}' => one(char::from(b'0' + (c as u32 - 0x660) as u8)),
'\u{6f0}'..='\u{6f9}' => one(char::from(b'0' + (c as u32 - 0x6f0) as u8)),
_ => one(c),
};
std::iter::once(first).chain(second)
}
/// A character that can carry a word: alphanumeric and neither a combining
/// mark (Mn, Mc, Me) nor a modifier letter (Lm). A text of none is marks and
/// modifiers only, like a text of punctuation.
fn is_base(c: char) -> bool {
c.is_alphanumeric() && !is_combining_mark(c) && !is_modifier_letter(c)
}
/// General_Category Lm, Unicode 17 (the Rust 1.99 tables), as inclusive ranges.
fn is_modifier_letter(c: char) -> bool {
const LM: [(u32, u32); 79] = [
(0x2b0, 0x2c1),
(0x2c6, 0x2d1),
(0x2e0, 0x2e4),
(0x2ec, 0x2ec),
(0x2ee, 0x2ee),
(0x374, 0x374),
(0x37a, 0x37a),
(0x559, 0x559),
(0x640, 0x640),
(0x6e5, 0x6e6),
(0x7f4, 0x7f5),
(0x7fa, 0x7fa),
(0x81a, 0x81a),
(0x824, 0x824),
(0x828, 0x828),
(0x8c9, 0x8c9),
(0x971, 0x971),
(0xe46, 0xe46),
(0xec6, 0xec6),
(0x10fc, 0x10fc),
(0x17d7, 0x17d7),
(0x1843, 0x1843),
(0x1aa7, 0x1aa7),
(0x1c78, 0x1c7d),
(0x1d2c, 0x1d6a),
(0x1d78, 0x1d78),
(0x1d9b, 0x1dbf),
(0x2071, 0x2071),
(0x207f, 0x207f),
(0x2090, 0x209c),
(0x2c7c, 0x2c7d),
(0x2d6f, 0x2d6f),
(0x2e2f, 0x2e2f),
(0x3005, 0x3005),
(0x3031, 0x3035),
(0x303b, 0x303b),
(0x309d, 0x309e),
(0x30fc, 0x30fe),
(0xa015, 0xa015),
(0xa4f8, 0xa4fd),
(0xa60c, 0xa60c),
(0xa67f, 0xa67f),
(0xa69c, 0xa69d),
(0xa717, 0xa71f),
(0xa770, 0xa770),
(0xa788, 0xa788),
(0xa7f1, 0xa7f4),
(0xa7f8, 0xa7f9),
(0xa9cf, 0xa9cf),
(0xa9e6, 0xa9e6),
(0xaa70, 0xaa70),
(0xaadd, 0xaadd),
(0xaaf3, 0xaaf4),
(0xab5c, 0xab5f),
(0xab69, 0xab69),
(0xff70, 0xff70),
(0xff9e, 0xff9f),
(0x10780, 0x10785),
(0x10787, 0x107b0),
(0x107b2, 0x107ba),
(0x10d4e, 0x10d4e),
(0x10d6f, 0x10d6f),
(0x10ec5, 0x10ec5),
(0x11dd9, 0x11dd9),
(0x16b40, 0x16b43),
(0x16d40, 0x16d42),
(0x16d6b, 0x16d6c),
(0x16f93, 0x16f9f),
(0x16fe0, 0x16fe1),
(0x16fe3, 0x16fe3),
(0x16ff2, 0x16ff3),
(0x1aff0, 0x1aff3),
(0x1aff5, 0x1affb),
(0x1affd, 0x1affe),
(0x1e030, 0x1e06d),
(0x1e137, 0x1e13d),
(0x1e4eb, 0x1e4eb),
(0x1e6ff, 0x1e6ff),
(0x1e94b, 0x1e94b),
];
let c = c as u32;
LM.binary_search_by(|&(lo, hi)| {
if hi < c {
std::cmp::Ordering::Less
} else if lo > c {
std::cmp::Ordering::Greater
} else {
std::cmp::Ordering::Equal
}
})
.is_ok()
}
/// The field that holds an unattested provenance string, if any: a string with
/// no alphanumeric, a control or format character, or over 200 bytes attests
/// nothing.
@ -402,6 +646,18 @@ fn empty_attestation(source: &Source) -> Option<&'static str> {
Source::PublicDomain { edition_url, .. } if empty(edition_url) => {
Some("a public-domain source names its edition url")
}
Source::PublicDomain { licence, .. } if empty(licence) => {
Some("a public-domain source names its licence")
}
Source::PublicDomain { jurisdiction, .. } if empty(jurisdiction) => {
Some("a public-domain source names its jurisdiction")
}
Source::PublicDomain { translator, .. } if empty(translator) => {
Some("a public-domain source names its translator")
}
Source::PublicDomain {
edition_year: 0, ..
} => Some("a public-domain source names its edition year"),
Source::ModelWritten { generator, .. } if empty_some(generator) => {
Some("a model-written source names a non-empty generator")
}
@ -563,18 +819,7 @@ fn check_pronunciation(entity: &Entity, p: &Pronunciation) -> Result<(), StoreEr
if !is_attestation(&p.ruled_by) || !is_attestation(&p.source) {
return Err(bad("a pronunciation names who ruled it and where"));
}
let b = p.date.as_bytes();
let date_ok = b.len() == 10
&& b.iter().enumerate().all(|(i, c)| {
if i == 4 || i == 7 {
*c == b'-'
} else {
c.is_ascii_digit()
}
})
&& (1..=12).contains(&p.date[5..7].parse::<u32>().unwrap_or(0))
&& (1..=31).contains(&p.date[8..].parse::<u32>().unwrap_or(0));
if !date_ok {
if !is_calendar_date(&p.date) {
return Err(bad("a pronunciation is dated YYYY-MM-DD"));
}
if p.rejected.len() > EntityBound::MAX_FORMS {
@ -740,7 +985,7 @@ impl PacketStore {
corpus: &CorpusStore,
entities: &EntityStore,
) -> Result<LoweringInput, StoreError> {
let view = admissible(&packet, &inventory.inventory()?).map_err(StoreError::Invalid)?;
validate(&packet, &inventory.inventory()?).map_err(StoreError::Invalid)?;
let item = corpus.resolve(&packet.provenance.corpus_item)?;
if item.withdrawn {
return Err(StoreRefusal::WithdrawnCorpusItem {
@ -755,9 +1000,7 @@ impl PacketStore {
}
.into());
}
let on_item = item.names.iter().any(|n| &n.entity == entity)
|| &item.speaker == entity
|| item.prior_turns.iter().any(|t| &t.speaker == entity);
let on_item = item.cited_entities().any(|e| e == entity);
if !on_item {
return Err(StoreRefusal::EntityNotOnItem {
entity: entity.clone(),
@ -766,6 +1009,7 @@ impl PacketStore {
.into());
}
}
let view = LoweringInput::of(&packet, &item);
let key = packet.id.to_string();
if let Some(existing) = self.get(&key)? {
if existing == packet {
@ -777,3 +1021,342 @@ impl PacketStore {
Ok(view)
}
}
/// The speaker and scene documents: append-only revisions, one key each. The
/// only writer of `weksa.speaker` and `weksa.scene`.
pub struct SpeakerStateStore {
cache: CultCache,
}
impl SpeakerStateStore {
pub fn open(path: &Path) -> anyhow::Result<Self> {
Ok(Self {
cache: open_cache(path, |c| {
c.register_entry_type::<Speaker>()?;
c.register_entry_type::<Scene>()
})?,
})
}
/// Admits the next revision of a speaker, or an identical replay. The key
/// derives from the document. Revision `n` is the entity's latest plus one
/// (1 when none). The entity is in the entity store, the features pass
/// `feature_refusals` in slot `Speaker` at the document's inventory
/// revision, and a model annotator's generator is an attestation.
pub fn put_speaker(
&mut self,
s: Speaker,
inventory: &InventoryStore,
entities: &EntityStore,
) -> Result<AddOutcome, StoreError> {
let key = speaker_key(&s.entity, s.n);
if self.get_speaker(&key)?.is_some_and(|old| old == s) {
return Ok(AddOutcome::Unchanged);
}
check_annotator(&key, &s.annotator)?;
known_entity(entities, &s.entity)?;
let out = feature_refusals(
&inventory.inventory()?,
s.inventory_rev,
&s.features,
Slot::Speaker,
);
if !out.is_empty() {
return Err(StoreError::Invalid(out));
}
let latest = self.speaker(&s.entity)?.map_or(0, |l| l.n);
check_next(&key, latest, s.n)?;
self.cache.put(key, &s)?;
Ok(AddOutcome::Added)
}
/// Admits the next revision of a scene, or an identical replay. The group
/// is a slug some corpus item (live or withdrawn) holds; there are 1 to
/// `MAX_PARTICIPANTS` participants, each named once and in the entity
/// store; a relation's `from` is a participant, a named `to` is another
/// participant, and an ordered pair has at most one relation; every speaker
/// of a live item of the group is a participant. Features pass
/// `feature_refusals` in slot `Scene` for every relation.
pub fn put_scene(
&mut self,
s: Scene,
inventory: &InventoryStore,
corpus: &CorpusStore,
entities: &EntityStore,
) -> Result<AddOutcome, StoreError> {
let key = scene_key(&s.group, s.n);
if self.get_scene(&key)?.is_some_and(|old| old == s) {
return Ok(AddOutcome::Unchanged);
}
let bad = |why| malformed(&key, why);
if !is_slug(&s.group) {
return Err(bad("a scene group is a slug"));
}
check_annotator(&key, &s.annotator)?;
let items: Vec<CorpusItem> = corpus
.all()?
.into_iter()
.filter(|i| i.group == s.group)
.collect();
if items.is_empty() {
return Err(bad("no corpus item holds the scene's group"));
}
if s.participants.is_empty() || s.participants.len() > MAX_PARTICIPANTS {
return Err(bad("a scene has 1 to 64 participants"));
}
let mut seen = BTreeSet::new();
for p in &s.participants {
if !seen.insert(p) {
return Err(bad("a participant is named once"));
}
known_entity(entities, p)?;
}
let mut pairs = BTreeSet::new();
for r in &s.relations {
if !seen.contains(&r.from) {
return Err(bad("a relation's from is a participant"));
}
if let Party::Named(to) = &r.to
&& (!seen.contains(to) || to == &r.from)
{
return Err(bad("a relation's named to is another participant"));
}
if !pairs.insert((&r.from, &r.to)) {
return Err(bad("an ordered pair has one relation"));
}
}
if let Some(entity) = s.uncovered(items.iter().filter(|i| !i.withdrawn).map(|i| &i.speaker))
{
return Err(StoreRefusal::SceneSpeakerMissing {
entity: entity.clone(),
group: s.group,
}
.into());
}
let inv = inventory.inventory()?;
let mut out = Vec::new();
if s.relations.is_empty() {
out = feature_refusals(&inv, s.inventory_rev, &[], Slot::Scene);
}
for r in &s.relations {
out.extend(feature_refusals(
&inv,
s.inventory_rev,
&r.features,
Slot::Scene,
));
}
if !out.is_empty() {
return Err(StoreError::Invalid(out));
}
let latest = self.scene(&s.group)?.map_or(0, |l| l.n);
check_next(&key, latest, s.n)?;
self.cache.put(key, &s)?;
Ok(AddOutcome::Added)
}
/// The latest revision (highest `n`) of the entity's speaker document.
pub fn speaker(&self, entity: &EntityId) -> anyhow::Result<Option<Speaker>> {
Ok(self
.all_speakers()?
.into_iter()
.filter(|s| &s.entity == entity)
.max_by_key(|s| s.n))
}
/// The latest revision (highest `n`) of the group's scene document.
pub fn scene(&self, group: &str) -> anyhow::Result<Option<Scene>> {
Ok(self
.all_scenes()?
.into_iter()
.filter(|s| s.group == group)
.max_by_key(|s| s.n))
}
pub fn get_speaker(&self, key: &str) -> anyhow::Result<Option<Speaker>> {
self.cache.get::<Speaker>(key)
}
pub fn get_scene(&self, key: &str) -> anyhow::Result<Option<Scene>> {
self.cache.get::<Scene>(key)
}
/// Every speaker revision, by entity then revision number.
pub fn all_speakers(&self) -> anyhow::Result<Vec<Speaker>> {
let mut all = self.cache.get_all::<Speaker>()?;
all.sort_by(|a, b| (&a.entity, a.n).cmp(&(&b.entity, b.n)));
Ok(all)
}
/// Every scene revision, by group then revision number.
pub fn all_scenes(&self) -> anyhow::Result<Vec<Scene>> {
let mut all = self.cache.get_all::<Scene>()?;
all.sort_by(|a, b| (&a.group, a.n).cmp(&(&b.group, b.n)));
Ok(all)
}
}
fn known_entity(entities: &EntityStore, id: &EntityId) -> Result<(), StoreError> {
match entities.get(id)? {
Some(_) => Ok(()),
None => Err(StoreRefusal::UnknownEntity { entity: id.clone() }.into()),
}
}
fn check_annotator(key: &str, a: &Annotator) -> Result<(), StoreError> {
match a {
Annotator::Model { generator, .. } if !is_attestation(generator) => {
Err(malformed(key, "a model annotator attests its generator"))
}
_ => Ok(()),
}
}
fn check_next(key: &str, latest: u32, got: u32) -> Result<(), StoreError> {
let expected = latest
.checked_add(1)
.ok_or_else(|| malformed(key, "no revision follows the latest"))?;
if got != expected {
return Err(StoreRefusal::RevisionNotNext {
key: key.to_string(),
expected,
got,
}
.into());
}
Ok(())
}
/// The language ontology: immutable entries admitted in all-or-nothing
/// batches. The only writer of `weksa.ontology_entry`.
pub struct OntologyStore {
cache: CultCache,
}
impl OntologyStore {
pub fn open(path: &Path) -> anyhow::Result<Self> {
Ok(Self {
cache: open_cache(path, |c| c.register_entry_type::<OntologyEntry>())?,
})
}
/// Every entry, by language then number.
pub fn all(&self) -> anyhow::Result<Vec<OntologyEntry>> {
Ok(self.ontology()?.entries().to_vec())
}
pub fn ontology(&self) -> anyhow::Result<Ontology> {
Ok(Ontology::of(self.cache.get_all::<OntologyEntry>()?))
}
/// Admits a batch whole or not at all; an identical replay of stored
/// entries is `Unchanged`. Per language the batch's numbers run the
/// language's latest plus one, consecutively, to at most
/// `MAX_ENTRIES_PER_LANGUAGE` entries in all. Every entry passes
/// [`check_ontology_entry`] against the inventory before any is put. No
/// message echoes an entry's text.
pub fn admit(
&mut self,
batch: Vec<OntologyEntry>,
inventory: &InventoryStore,
) -> Result<AddOutcome, StoreError> {
let all = self.cache.get_all::<OntologyEntry>()?;
if batch
.iter()
.all(|e| all.iter().any(|old| old == e))
{
return Ok(AddOutcome::Unchanged);
}
let inv = inventory.inventory()?;
let mut counted: std::collections::BTreeMap<&str, u32> = std::collections::BTreeMap::new();
for e in &batch {
let key = e.key();
if !is_language_tag(&e.language) {
return Err(malformed(&key, "an ontology language is a language tag"));
}
let latest = match counted.get(e.language.as_str()) {
Some(n) => *n,
None => all
.iter()
.filter(|o| o.language == e.language)
.map(|o| o.n)
.max()
.unwrap_or(0),
};
check_next(&key, latest, e.n)?;
if e.n as usize > MAX_ENTRIES_PER_LANGUAGE {
return Err(malformed(&key, "a language holds at most 64 entries"));
}
counted.insert(e.language.as_str(), e.n);
check_ontology_entry(e, &inv, e.inventory_rev)?;
}
let mut staged = Vec::new();
for e in &batch {
staged.push(self.cache.prepare_entry_named(e.key(), e)?.0);
}
self.cache.put_prepared_batch(staged)?;
Ok(AddOutcome::Added)
}
}
/// The rules of one ontology entry against an inventory: the annotator, the
/// bounded and normalized text of the choice and examples, the condition count
/// and each condition's feature (slot `Stance`, `Discourse` or `Scene`, a grade
/// feature for `AtLeast`, `AtMost` and `AtMostOrUnset`, an option or flag value for `Is`) read at
/// `rev`. The store passes the entry's own `inventory_rev` on admission; a run
/// passes its inventory's head, because beds number revisions independently.
pub(crate) fn check_ontology_entry(
e: &OntologyEntry,
inventory: &Inventory,
rev: u32,
) -> Result<(), StoreError> {
let key = e.key();
check_annotator(&key, &e.annotator)?;
let text_ok = |t: &str, max: usize| {
(1..=max).contains(&t.len())
&& !t.chars().any(|c| c.is_control() || is_refused_format(c))
&& is_nfc(t)
};
if !text_ok(&e.choice, MAX_CHOICE_BYTES) {
return Err(malformed(
&key,
"a choice is 1 to 200 normalized bytes with no control or format character",
));
}
if e.examples.len() > MAX_EXAMPLES
|| !e.examples.iter().all(|x| text_ok(x, MAX_EXAMPLE_BYTES))
{
return Err(malformed(
&key,
"an entry has at most 3 examples of 1 to 120 normalized bytes with no control or format character",
));
}
if e.when.len() > MAX_CONDITIONS {
return Err(malformed(&key, "an entry has at most 4 conditions"));
}
let mut out = Vec::new();
for c in &e.when {
if !matches!(c.slot, Slot::Stance | Slot::Discourse | Slot::Scene) {
return Err(malformed(
&key,
"a condition reads slot Stance, Discourse or Scene",
));
}
if matches!(c.test, Test::Is(FeatValue::Grade(_))) {
return Err(malformed(&key, "Is names an option or a flag"));
}
out.extend(feature_refusals(
inventory,
rev,
&[c.as_value()],
c.slot,
));
}
if e.when.is_empty() && !inventory.has_revision(rev) {
out.extend(feature_refusals(inventory, rev, &[], Slot::Stance));
}
if !out.is_empty() {
return Err(StoreError::Invalid(out));
}
Ok(())
}

View file

@ -1,12 +1,14 @@
//! The validator owns the inventory and form rules a packet must meet. Every
//! path that admits a packet applies them, but `validate` only judges: it
//! returns `Ok(())` or the refusals. [`LoweringInput`], the only thing a
//! lowerer sees, comes from `PacketStore::admit` alone, which builds it through
//! the crate-private `admissible`. The stance is checked like every feature
//! list, in slot `Stance`. The rules are V1..V8 and V10..V13: the shape of an id
//! or a grade is its type's parse, not a rule, so V9 is retired and not
//! renumbered. V13 guards the one other way features reach a lowering view:
//! [`LoweringInput::with_scene`].
//! lowerer sees, comes from `PacketStore::admit` alone, which builds it from
//! the admitted packet and its corpus item through the crate-private
//! `LoweringInput::of`. The stance is checked like every feature
//! list, in slot `Stance`. The rules are V1..V8, V10..V12 and V14..V17: the
//! shape of an id or a grade is its type's parse, not a rule, so V9 is retired
//! and not renumbered; V13 is retired too. [`LoweringInput::with_scene`] reads the
//! scene of the view's own item group from the speaker-state store, and
//! `feature_refusals` is the one feature check it and that store share.
//!
//! `validate` owns form and capacity and makes no leak decision. A packet's one
//! free text is its trace (`notes` and `rejected_readings`): `validate` does not
@ -26,25 +28,36 @@
use std::collections::BTreeSet;
use std::fmt;
use crate::corpus::CorpusItem;
use crate::inventory::{Family, InvId, Inventory, InventoryEntry, Slot, ValueKind};
use crate::packet::{
Constraints, Context, Discourse, Extension, FeatValue, FeatureValue, NodeId, Packet,
PacketKind, Predication, Referent, Relation, SCHEMA_VERSION, Stance,
Constraints, Context, Discourse, EntityId, Extension, FeatValue, FeatureValue, NodeId, Packet,
PacketKind, Predication, ProvenanceSource, Referent, Relation, SCHEMA_VERSION, Stance,
};
use crate::store::{CorpusStore, SpeakerStateStore, StoreError};
/// A broken rule, named.
#[derive(Clone, Debug, PartialEq, Eq)]
pub enum Refusal {
/// V1: the packet's schema_version is not the one these types define.
V1SchemaVersion { found: u32 },
V1SchemaVersion {
found: u32,
},
/// V2: no referents, predications or relations.
V2PayloadRequired,
/// V3: a node id repeats across referents and predications.
V3DuplicateNode { id: NodeId },
V3DuplicateNode {
id: NodeId,
},
/// V4: a reference names no node.
V4DanglingRef { id: NodeId, at: &'static str },
V4DanglingRef {
id: NodeId,
at: &'static str,
},
/// V5: an inventory id does not resolve at the packet's revision.
V5Unresolved { id: InvId },
V5Unresolved {
id: InvId,
},
/// V6: an inventory id is of the wrong family for its slot.
V6WrongFamily {
id: InvId,
@ -52,25 +65,61 @@ pub enum Refusal {
at: &'static str,
},
/// V7: a feature or extension value does not fit its value kind.
V7ValueKind { what: String },
V7ValueKind {
what: String,
},
/// V8: a feature is not declared for the slot it sits on.
V8NotApplicable { feature: InvId, slot: Slot },
V8NotApplicable {
feature: InvId,
slot: Slot,
},
/// V10: the packet's inventory revision has no record.
V10UnknownRevision { rev: u32 },
V10UnknownRevision {
rev: u32,
},
/// V11: a feature id repeats in one slot's list (`slot` is `None` for an
/// extension id repeated in the packet).
V11DuplicateFeature { feature: InvId, slot: Option<Slot> },
V11DuplicateFeature {
feature: InvId,
slot: Option<Slot>,
},
/// V11: a node id repeats in `participants`, `audience` or `preserve`
/// (`at` names the list).
V11DuplicateNodeRef { id: NodeId, at: &'static str },
V11DuplicateNodeRef {
id: NodeId,
at: &'static str,
},
/// V11: a role id repeats in one predication's roles.
V11DuplicateRole { role: InvId, predication: NodeId },
V11DuplicateRole {
role: InvId,
predication: NodeId,
},
/// V12: more referents, predications and relations than `Packet::MAX_NODES`.
V12TooManyNodes { count: usize, max: usize },
/// V13: scene features were given for a packet with no addressee. They
/// state the speaker's relation to the addressee, so with none they
/// describe nobody.
V13SceneWithoutAddressee,
V12TooManyNodes {
count: usize,
max: usize,
},
/// V14: an addressee consent that no addressee can have given, or that
/// names a node that is not a predication. It is what the addressee asked
/// for or agreed to, an act, so a referent cannot be its object.
V14ConsentWithoutAddressee,
V14ConsentNotAPredication {
id: NodeId,
},
/// V15: an addressee consent set by a source that only read wording.
/// A decomposition of text, or imported corpus text, sees "you asked her
/// to" as words; only authoring or game telemetry saw the request.
V15ConsentSource {
source: ProvenanceSource,
},
/// V16: `with_scene` found its group's scene not covering the item's speaker
/// or the speaker of some live item of the group.
V16SpeakerNotInScene,
/// V17: an addressee that names a predication. An act is not someone
/// spoken to, so the addressee names a referent.
V17AddresseeNotAReferent {
id: NodeId,
},
}
impl Refusal {
@ -89,14 +138,43 @@ impl Refusal {
| Refusal::V11DuplicateNodeRef { .. }
| Refusal::V11DuplicateRole { .. } => "V11",
Refusal::V12TooManyNodes { .. } => "V12",
Refusal::V13SceneWithoutAddressee => "V13",
Refusal::V14ConsentWithoutAddressee | Refusal::V14ConsentNotAPredication { .. } => {
"V14"
}
Refusal::V15ConsentSource { .. } => "V15",
Refusal::V16SpeakerNotInScene => "V16",
Refusal::V17AddresseeNotAReferent { .. } => "V17",
}
}
}
impl fmt::Display for Refusal {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "{}: {self:?}", self.rule())
let what = match self {
Refusal::V1SchemaVersion { .. } => "unsupported schema version",
Refusal::V2PayloadRequired => "packet has no referents, predications or relations",
Refusal::V3DuplicateNode { .. } => "a node id repeats",
Refusal::V4DanglingRef { .. } => "a reference names no node",
Refusal::V5Unresolved { .. } => {
"an inventory id does not resolve at the packet's revision"
}
Refusal::V6WrongFamily { .. } => "an inventory id is of the wrong family for its slot",
Refusal::V7ValueKind { .. } => "a value does not fit its value kind",
Refusal::V8NotApplicable { .. } => "a feature is not declared for its slot",
Refusal::V10UnknownRevision { .. } => "the inventory revision has no record",
Refusal::V11DuplicateFeature { .. } => "a feature id repeats in one list",
Refusal::V11DuplicateNodeRef { .. } => "a node id repeats in one list",
Refusal::V11DuplicateRole { .. } => "a role id repeats in one predication",
Refusal::V12TooManyNodes { .. } => "too many nodes",
Refusal::V14ConsentWithoutAddressee => "consent given without an addressee",
Refusal::V14ConsentNotAPredication { .. } => "consent names no predication",
Refusal::V15ConsentSource { .. } => "consent set by a source that only read wording",
Refusal::V16SpeakerNotInScene => {
"the scene does not cover the speaker of every live item of its group"
}
Refusal::V17AddresseeNotAReferent { .. } => "the addressee names no referent",
};
write!(f, "{}: {what}", self.rule())
}
}
@ -114,28 +192,6 @@ impl fmt::Display for Refusal {
/// fn lower(p: &Packet, i: &Inventory) -> Result<LoweringInput, Vec<Refusal>> { weksa::validate(p, i) }
/// ```
pub fn validate(packet: &Packet, inventory: &Inventory) -> Result<(), Vec<Refusal>> {
admissible(packet, inventory).map(|_| ())
}
/// The one implementation of the rules. Crate-private: `PacketStore::admit` is
/// the only caller that keeps the view.
///
/// The first block is the same call through the public name, so the second
/// fails for the private path and nothing else.
///
/// ```
/// use weksa::{Inventory, packet::Packet};
/// fn judge(p: &Packet, i: &Inventory) { let _ = weksa::validate::validate(p, i); }
/// ```
///
/// ```compile_fail
/// use weksa::{Inventory, packet::Packet};
/// fn lower(p: &Packet, i: &Inventory) { let _ = weksa::validate::admissible(p, i); }
/// ```
pub(crate) fn admissible(
packet: &Packet,
inventory: &Inventory,
) -> Result<LoweringInput, Vec<Refusal>> {
let mut out = Vec::new();
if packet.schema_version != SCHEMA_VERSION {
out.push(Refusal::V1SchemaVersion {
@ -155,7 +211,9 @@ pub(crate) fn admissible(
}
let nodes = check_nodes(packet, &mut out);
check_refs(packet, &nodes, &mut out);
check_addressee(packet, &nodes, &mut out);
check_repeats(packet, &mut out);
check_consent(packet, &nodes, &mut out);
if inventory.has_revision(packet.inventory_rev) {
Inventoried {
inv: inventory,
@ -168,11 +226,7 @@ pub(crate) fn admissible(
rev: packet.inventory_rev,
});
}
if out.is_empty() {
Ok(LoweringInput::of(packet))
} else {
Err(out)
}
if out.is_empty() { Ok(()) } else { Err(out) }
}
fn check_nodes(packet: &Packet, out: &mut Vec<Refusal>) -> BTreeSet<NodeId> {
@ -208,6 +262,9 @@ fn check_refs(packet: &Packet, nodes: &BTreeSet<NodeId>, out: &mut Vec<Refusal>)
if let Some(a) = &packet.discourse.addressee {
need(a, "addressee");
}
if let Some(c) = &packet.discourse.addressee_consent {
need(c, "addressee consent");
}
for (list, at) in node_lists(packet) {
for id in list {
need(id, at);
@ -215,6 +272,37 @@ fn check_refs(packet: &Packet, nodes: &BTreeSet<NodeId>, out: &mut Vec<Refusal>)
}
}
/// V17: the addressee, when it names a node, names a referent. A dangling id
/// is V4's.
fn check_addressee(packet: &Packet, nodes: &BTreeSet<NodeId>, out: &mut Vec<Refusal>) {
if let Some(a) = &packet.discourse.addressee
&& nodes.contains(a)
&& !packet.referents.iter().any(|r| &r.id == a)
{
out.push(Refusal::V17AddresseeNotAReferent { id: a.clone() });
}
}
/// V14 and V15: the addressee's consent is a typed fact with one origin. A
/// dangling id is V4's, so V14 judges only a node that exists.
fn check_consent(packet: &Packet, nodes: &BTreeSet<NodeId>, out: &mut Vec<Refusal>) {
let Some(consent) = &packet.discourse.addressee_consent else {
return;
};
if packet.discourse.addressee.is_none() {
out.push(Refusal::V14ConsentWithoutAddressee);
}
if nodes.contains(consent) && !packet.predications.iter().any(|p| &p.id == consent) {
out.push(Refusal::V14ConsentNotAPredication {
id: consent.clone(),
});
}
match packet.provenance.source {
ProvenanceSource::Authored | ProvenanceSource::GameTelemetry => {}
source => out.push(Refusal::V15ConsentSource { source }),
}
}
fn node_lists(packet: &Packet) -> [(&Vec<NodeId>, &'static str); 3] {
[
(&packet.context.participants, "participant"),
@ -382,6 +470,29 @@ impl<'a> Inventoried<'a> {
}
}
/// The one feature check of the speaker-state documents and `with_scene`: V10
/// when `rev` has no record, else the rules the packet's own check applies to a
/// feature list in `slot` (V5 to V8, V11).
pub(crate) fn feature_refusals(
inventory: &Inventory,
rev: u32,
features: &[FeatureValue],
slot: Slot,
) -> Vec<Refusal> {
let mut out = Vec::new();
if !inventory.has_revision(rev) {
out.push(Refusal::V10UnknownRevision { rev });
} else {
Inventoried {
inv: inventory,
rev,
out: &mut out,
}
.features(features, slot);
}
out
}
fn fits(kind: Option<&ValueKind>, value: &FeatValue) -> bool {
match (kind, value) {
(Some(ValueKind::Grade), FeatValue::Grade(_)) => true,
@ -391,6 +502,28 @@ fn fits(kind: Option<&ValueKind>, value: &FeatValue) -> bool {
}
}
/// What `with_scene` found for a view: the scene revision `rev` it read, or why
/// it selected no relation. Each case is distinct so a missing annotation or a
/// store at the wrong path cannot look like a scene that held nothing.
#[derive(Clone, Debug, PartialEq, Eq)]
pub enum SceneRead {
/// `with_scene` has not run.
Unread,
/// The store holds no scene for the item's group.
NoScene,
/// The scene was read and the packet names no addressee.
NoAddressee { rev: u32 },
/// The addressee referent is the speaker themself.
SelfAddressed { rev: u32 },
/// The scene holds no relation from the speaker to this addressee.
NoRelation { rev: u32 },
/// The relation was found; its features may be none.
Selected {
rev: u32,
features: Vec<FeatureValue>,
},
}
/// What the lowerer sees: a validated packet's meaning, with no packet id, no
/// provenance (so no corpus item key, encoder or source) and no trace. Its
/// fields are private and the constructor is crate-private, called only by
@ -447,16 +580,50 @@ fn fits(kind: Option<&ValueKind>, value: &FeatValue) -> bool {
/// fn read(l: weksa::LoweringInput) { let _ = l.scene; }
/// ```
///
/// Scene values come only from the store: the call names neither speaker nor
/// scene. The first block is the call with the store; the second hands it a
/// scene value and a speaker and fails for that alone.
///
/// ```
/// fn pick(
/// l: weksa::LoweringInput,
/// i: &weksa::Inventory,
/// s: &weksa::SpeakerStateStore,
/// c: &weksa::CorpusStore,
/// ) {
/// let _ = l.with_scene(i, s, c);
/// }
/// ```
///
/// ```compile_fail
/// fn pick(
/// l: weksa::LoweringInput,
/// i: &weksa::Inventory,
/// s: &weksa::speaker::Scene,
/// e: &weksa::EntityId,
/// ) {
/// let _ = l.with_scene(i, s, e);
/// }
/// ```
///
/// ```compile_fail
/// fn pick(l: weksa::LoweringInput, i: &weksa::Inventory) {
/// let _ = l.with_scene(i, vec![]);
/// }
/// ```
///
/// The constructor is private: a call from outside the crate compiles only if
/// `LoweringInput::of` is `pub`. The first block is the same code without the
/// call, so the second fails for that call and nothing else.
///
/// ```
/// fn build(p: &weksa::packet::Packet) { let _ = p; }
/// fn build(p: &weksa::packet::Packet, item: &weksa::CorpusItem) { let _ = (p, item); }
/// ```
///
/// ```compile_fail
/// fn build(p: &weksa::packet::Packet) { let _ = weksa::LoweringInput::of(p); }
/// fn build(p: &weksa::packet::Packet, item: &weksa::CorpusItem) {
/// let _ = weksa::LoweringInput::of(p, item);
/// }
/// ```
///
/// A lowering view is never read from bytes: `Deserialize` would let a caller
@ -484,11 +651,16 @@ pub struct LoweringInput {
constraints: Constraints,
extensions: Vec<Extension>,
stance: Stance,
scene: Vec<FeatureValue>,
/// The item's speaker and group, as the corpus store holds them: the
/// only source of whose relation `with_scene` selects, and from which scene.
speaker: EntityId,
group: String,
scene: SceneRead,
}
impl LoweringInput {
fn of(p: &Packet) -> Self {
/// The view of an admitted packet and the corpus item it was minted for.
pub(crate) fn of(p: &Packet, item: &CorpusItem) -> Self {
Self {
inventory_rev: p.inventory_rev,
kind: p.kind,
@ -500,41 +672,73 @@ impl LoweringInput {
constraints: p.constraints.clone(),
extensions: p.extensions.clone(),
stance: p.stance.clone(),
scene: Vec::new(),
speaker: item.speaker.clone(),
group: item.group.clone(),
scene: SceneRead::Unread,
}
}
/// Adds the speaker's relation to the addressee: feature values of slot
/// `Scene`, checked like every feature list (V5 to V8, V11) at this view's
/// inventory revision. They state a relation, so the packet must name an
/// addressee (V13). Typed ids and grades only, never wording, so a scene
/// carries no text to the lowerer. The scene is not part of the packet: a
/// scene document supplies it, and replacing it replaces the earlier one.
/// Reads the speaker's relation to the addressee, the only path for scene
/// values into a view. The speaker is the item's speaker and the scene is
/// the latest the store holds for the item's group; the caller names
/// neither. A scene that does not list the item's speaker, or the speaker of
/// any live item of the group (the rule `put_scene` applies), is V16, with
/// or without an addressee. What the read found is recorded on the view as a
/// [`SceneRead`], never an empty feature list standing for five cases:
/// no scene for the group, no addressee, an addressee who is the speaker,
/// no such relation, or the relation from the speaker to the addressee
/// referent's entity (to `Unnamed` when the referent has none), whose
/// features are checked like every feature list in slot `Scene` at this
/// view's inventory revision. A read replaces any earlier one. The English
/// lowerer ignores it.
pub fn with_scene(
mut self,
inventory: &Inventory,
scene: Vec<FeatureValue>,
) -> Result<Self, Vec<Refusal>> {
let mut out = Vec::new();
if !inventory.has_revision(self.inventory_rev) {
out.push(Refusal::V10UnknownRevision {
rev: self.inventory_rev,
});
} else {
Inventoried {
inv: inventory,
rev: self.inventory_rev,
out: &mut out,
}
.features(&scene, Slot::Scene);
state: &SpeakerStateStore,
corpus: &CorpusStore,
) -> Result<Self, StoreError> {
self.scene = SceneRead::Unread;
let Some(scene) = state.scene(&self.group)? else {
self.scene = SceneRead::NoScene;
return Ok(self);
};
let rev = scene.n;
let live = corpus.all()?;
let live = live
.iter()
.filter(|i| i.group == self.group && !i.withdrawn)
.map(|i| &i.speaker);
if scene
.uncovered(live.chain(std::iter::once(&self.speaker)))
.is_some()
{
return Err(StoreError::Invalid(vec![Refusal::V16SpeakerNotInScene]));
}
if !scene.is_empty() && self.discourse.addressee.is_none() {
out.push(Refusal::V13SceneWithoutAddressee);
let Some(addressee) = self.discourse.addressee.as_ref() else {
self.scene = SceneRead::NoAddressee { rev };
return Ok(self);
};
let entity = self
.referents
.iter()
.find(|r| &r.id == addressee)
.and_then(|r| r.entity.as_ref());
if entity == Some(&self.speaker) {
self.scene = SceneRead::SelfAddressed { rev };
return Ok(self);
}
let Some(features) = scene.relation(&self.speaker, entity) else {
self.scene = SceneRead::NoRelation { rev };
return Ok(self);
};
let out = feature_refusals(inventory, self.inventory_rev, features, Slot::Scene);
if !out.is_empty() {
return Err(out);
return Err(StoreError::Invalid(out));
}
self.scene = scene;
self.scene = SceneRead::Selected {
rev,
features: features.to_vec(),
};
Ok(self)
}
@ -568,8 +772,17 @@ impl LoweringInput {
pub fn stance(&self) -> &Stance {
&self.stance
}
/// The speaker's relation to the addressee; empty until `with_scene`.
/// The features of the scene relation from the speaker to the addressee.
/// Empty for every [`SceneRead`] but `Selected` (and for a selected
/// relation that has no features): ask [`scene_read`](Self::scene_read) which.
pub fn scene(&self) -> &[FeatureValue] {
match &self.scene {
SceneRead::Selected { features, .. } => features,
_ => &[],
}
}
/// What `with_scene` read; `Unread` until it ran.
pub fn scene_read(&self) -> &SceneRead {
&self.scene
}
}

View file

@ -0,0 +1,107 @@
//! A line-based tripwire on the Checkpoint door, not a proof. The real defence
//! is that `Checkpoint::for_test` is `cfg(test)`, pinned by the compile_fail
//! doctest on its current name in `split.rs`. This scan reads `split.rs` line by
//! line and catches the common single-line forms: a `pub fn` in `impl
//! Checkpoint` whose signature line says `-> Self` or `-> Checkpoint` without
//! `cfg(test)` above it, a trait impl for `Checkpoint`, a derive on it, a `pub`
//! field in its braces, and a `-> Checkpoint` line in any other `src` file. It
//! misses: signatures wrapped over several lines, `Option`, `Box`, `Result` or
//! tuple returns from `split.rs`, tuple structs with `pub` fields, and
//! constructors made by macros.
/// Why `src` lets code outside the lib make a `Checkpoint`, if it does.
fn door_leaks(split_rs: &str) -> Vec<String> {
let mut leaks = Vec::new();
let lines: Vec<&str> = split_rs.lines().collect();
let mut in_impl = false;
let mut in_struct = false;
for (n, line) in lines.iter().enumerate() {
let t = line.trim();
if t.starts_with("impl Checkpoint") {
in_impl = true;
} else if t.starts_with("impl") && t.contains("Checkpoint") {
leaks.push(format!("{}: trait impl: {t}", n + 1));
}
if t.starts_with("pub struct Checkpoint") {
let derived = lines[..n]
.iter()
.rev()
.take_while(|l| l.trim().starts_with("#[") || l.trim().starts_with("///"))
.any(|l| l.contains("derive"));
if derived {
leaks.push(format!("{}: derive on Checkpoint", n + 1));
}
in_struct = true;
continue;
}
if in_struct {
if t.starts_with('}') {
in_struct = false;
} else if t.starts_with("pub ") {
leaks.push(format!("{}: public field: {t}", n + 1));
}
}
if in_impl && t.starts_with("pub ") && t.contains("fn ") {
let mints = t.contains("-> Self") || t.contains("-> Checkpoint");
let test_only = lines[..n]
.iter()
.rev()
.take_while(|l| l.trim().starts_with("#["))
.any(|l| l.contains("cfg(test)"));
if mints && !test_only {
leaks.push(format!("{}: pub constructor: {t}", n + 1));
}
}
}
leaks
}
#[test]
fn no_public_item_mints_a_checkpoint() {
let src =
std::fs::read_to_string(concat!(env!("CARGO_MANIFEST_DIR"), "/src/split.rs")).unwrap();
assert_eq!(door_leaks(&src), Vec::<String>::new());
// No other module returns one either.
for entry in std::fs::read_dir(concat!(env!("CARGO_MANIFEST_DIR"), "/src")).unwrap() {
let path = entry.unwrap().path();
if path.extension().is_some_and(|e| e == "rs") && !path.ends_with("split.rs") {
let text = std::fs::read_to_string(&path).unwrap();
let minting = text
.lines()
.filter(|l| l.contains("-> Checkpoint") || l.contains("-> Result<Checkpoint"))
.count();
assert_eq!(minting, 0, "{}", path.display());
}
}
}
#[test]
fn the_scan_sees_each_way_to_open_the_door() {
let good = "impl Checkpoint {\n #[cfg(test)]\n pub(crate) fn for_test(r: u32) -> Self { x }\n}\n";
assert!(door_leaks(good).is_empty());
// Test constructor made public, under its own name or another.
let public = "impl Checkpoint {\n pub fn for_test(r: u32) -> Self { x }\n}\n";
assert_eq!(door_leaks(public).len(), 1);
let renamed = "impl Checkpoint {\n #[cfg(test)]\n #[allow(x)]\n pub fn new(r: u32) -> Checkpoint { x }\n}\n";
assert!(
door_leaks(renamed).is_empty(),
"cfg(test) above another attribute counts"
);
let renamed = "impl Checkpoint {\n pub fn new(r: u32) -> Checkpoint { x }\n}\n";
assert_eq!(door_leaks(renamed).len(), 1);
// cfg(test) on the previous item does not cover this one.
let stray =
"impl Checkpoint {\n #[cfg(test)]\n fn a() {}\n pub fn b() -> Self { x }\n}\n";
assert_eq!(door_leaks(stray).len(), 1);
assert_eq!(door_leaks("impl Default for Checkpoint {}\n").len(), 1);
assert_eq!(door_leaks("impl From<u32> for Checkpoint {}\n").len(), 1);
assert_eq!(
door_leaks("#[derive(Clone)]\npub struct Checkpoint {\n").len(),
1
);
assert_eq!(
door_leaks("pub struct Checkpoint {\n pub round: u32,\n}\n").len(),
1
);
assert!(door_leaks("pub struct Checkpoint {\n round: u32,\n}\n").is_empty());
}

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@ -34,7 +34,8 @@ pub const CONCEPT_LATE: &str = "concept:4";
pub const FRAME: &str = "frame:1";
/// An extension entry of value kind Grade, introduced at rev 2.
pub const EXT: &str = "extension:1";
/// A Grade feature introduced at rev 2 that sits in every slot.
/// A Grade feature introduced at rev 2 in every content slot (Discourse,
/// Referent, Predication, Relation).
pub const FEAT_ALL: &str = "feature:50";
pub const PACKET_ID: &str = "packet:0123456789abcdef";
@ -113,6 +114,90 @@ pub fn entities_in(dir: &std::path::Path) -> EntityStore {
store
}
/// An empty ontology store at `<dir>/ontology.cc`, made if absent.
pub fn ontology_in(dir: &std::path::Path) -> std::path::PathBuf {
let path = dir.join("ontology.cc");
if !path.exists() {
std::fs::write(&path, [0x90]).unwrap();
}
path
}
/// A new inventory store at `path` holding the Dao inventory as it stood at
/// rev 3 (seed, proof, the Dao revision): the loop tests' fixed head, whose
/// round and candidate revisions they pin. The committed
/// `data/daodejing/inventory.cc` is rev 4 and is read by the corpus tests.
pub fn dao_rev3_at(path: &std::path::Path) {
let mut store = weksa::InventoryStore::open(path).unwrap();
for (rev, entries) in [
weksa::inventory::seed(),
weksa::inventory::proof_revision(),
weksa::daodejing::revision(),
] {
store.admit_revision(rev, entries).unwrap();
}
}
/// An empty speaker-state store beside `ontology` (same directory), made if absent.
pub fn speaker_state_beside(ontology: &std::path::Path) -> std::path::PathBuf {
let path = ontology.with_file_name("speaker-state.cc");
if !path.exists() {
std::fs::write(&path, [0x90]).unwrap();
}
path
}
/// An empty speaker-state store at `<dir>/speaker-state.cc`, made if absent.
pub fn speaker_state_in(dir: &std::path::Path) -> std::path::PathBuf {
speaker_state_beside(&dir.join("ontology.cc"))
}
/// A run over the stores `world()` and `corpus()` keep in `dir`: `c.cc`,
/// `i.cc` and `entities.cc`. Read at the call, so create it after the items.
/// The run's en-US panel needs a live Train and a live Validation item: a
/// corpus short of one gets `item:panel:<n>` added, and no other item.
pub fn run_over(dir: &std::path::Path) -> weksa::run::RunStores {
for name in ["c.cc", "i.cc", "entities.cc"] {
if !dir.join(name).exists() {
std::fs::write(dir.join(name), [0x90]).unwrap();
}
}
let entities = entities_in(dir);
ontology_in(dir);
let mut corpus = CorpusStore::open(&dir.join("c.cc")).unwrap();
for (n, split) in [(1, weksa::Split::Train), (2, weksa::Split::Validation)] {
let held = corpus
.all()
.unwrap()
.iter()
.any(|i| SplitScheme::V1.live(i) == Some(split));
if !held {
let group = group_in_bucket(if n == 1 { 10 } else { 50 });
let key = format!("item:panel:{n}");
let text = format!("Panel fixture line {n}.");
corpus.add(item_in(&key, &text, &group, cast()), &entities).unwrap();
}
}
drop(corpus);
weksa::run::RunStores::create(
&dir.join("run"),
"t",
weksa::run::RunPaths {
corpus: &dir.join("c.cc"),
inventory: &dir.join("i.cc"),
entities: &dir.join("entities.cc"),
ontology: &dir.join("ontology.cc"),
speaker_state: &speaker_state_beside(&dir.join("ontology.cc")),
},
"fake-model",
"bag",
weksa::run::LowererReach::ToolLessRelay,
weksa::corpus::ModelFamily::Unrecorded,
&["en-US".to_string()],
)
.unwrap()
}
pub fn item_in(key: &str, text: &str, group: &str, source: Source) -> CorpusItem {
CorpusItem {
id: key.into(),
@ -120,6 +205,7 @@ pub fn item_in(key: &str, text: &str, group: &str, source: Source) -> CorpusItem
language: "en-US".into(),
speaker: eid("nibu"),
names: vec![],
names_by: None,
group: group.into(),
prior_turns: vec![],
source,
@ -186,6 +272,7 @@ pub fn world() -> World {
let dir = tempfile::tempdir().unwrap();
let mut corpus = CorpusStore::open(&dir.path().join("c.cc")).unwrap();
let entities = entities_in(dir.path());
ontology_in(dir.path());
let train = group_in_bucket(10);
let mut first = item_in("item:nibu:1", "Nibu says mind the hatch.", &train, cast());
first.names = vec![NameSpan {
@ -194,6 +281,10 @@ pub fn world() -> World {
end: 4,
}];
corpus.add(first, &entities).unwrap();
// A run's panel needs a live Validation item as well as a Train one.
let validation = group_in_bucket(50);
let second = item_in("item:panel:1", "Nibu says watch the ladder.", &validation, cast());
corpus.add(second, &entities).unwrap();
let mut inventory = InventoryStore::open(&dir.path().join("i.cc")).unwrap();
let (rev1, entries) = seed();
inventory.admit_revision(rev1, entries).unwrap();
@ -218,7 +309,6 @@ pub fn world() -> World {
Slot::Referent,
Slot::Predication,
Slot::Relation,
Slot::Stance,
],
)
},
@ -266,6 +356,7 @@ pub fn good() -> Packet {
discourse: Discourse {
speech_act: Some(iv(WARN)),
addressee: Some(nd("n1")),
addressee_consent: None,
features: vec![FeatureValue {
feature: iv(HEDGE),
value: FeatValue::Grade(grade(300)),
@ -330,3 +421,25 @@ pub fn good() -> Packet {
},
}
}
/// A deterministic bag-of-letters embedder, so cosine differs with the text.
pub struct Bag;
impl weksa::Embedder for Bag {
fn model(&self) -> &str {
"bag"
}
fn embed(&self, texts: &[&str]) -> anyhow::Result<Vec<Vec<f32>>> {
Ok(texts
.iter()
.map(|t| {
let mut v = vec![0.0; 27];
v[26] = 1.0;
for c in t.chars().filter(char::is_ascii_alphabetic) {
v[(c.to_ascii_lowercase() as u8 - b'a') as usize] += 1.0;
}
v
})
.collect())
}
}

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@ -0,0 +1,71 @@
//! The Dao De Jing test bed (`data/daodejing`): its Legge items carry full
//! public-domain provenance, and its packets are admitted and lower to the
//! English the first golf-loop run scored (`docs/targets/dao-de-jing-test-bed.md`).
use std::path::Path;
use weksa::daodejing::packets;
use weksa::{CorpusStore, EntityStore, InventoryStore, PacketStore, Source, lower};
fn root() -> std::path::PathBuf {
Path::new(env!("CARGO_MANIFEST_DIR")).join("../../data/daodejing")
}
#[test]
fn every_legge_item_names_licence_jurisdiction_translator_and_edition_year() {
let items = CorpusStore::open(&root().join("corpus.cc"))
.unwrap()
.all()
.unwrap();
assert_eq!(items.len(), 5);
for item in items {
let Source::PublicDomain {
licence,
jurisdiction,
translator,
edition_year,
..
} = item.source
else {
panic!("{} is not a public-domain item", item.id);
};
assert!(
!licence.is_empty() && !jurisdiction.is_empty(),
"{}",
item.id
);
assert_eq!((translator.as_str(), edition_year), ("James Legge", 1891));
}
}
#[test]
fn the_slice_packets_are_admitted_and_lower_to_the_scored_english() {
let inventory = InventoryStore::open(&root().join("inventory.cc")).unwrap();
let corpus = CorpusStore::open(&root().join("corpus.cc")).unwrap();
let entities = EntityStore::open(&root().join("entity.cc")).unwrap();
let dir = tempfile::tempdir().unwrap();
let mut store = PacketStore::open(&dir.path().join("p.cc")).unwrap();
let inv = inventory.inventory().unwrap();
let lowered: Vec<String> = packets()
.into_iter()
.map(|p| {
let view = store.admit(p, &inventory, &corpus, &entities).unwrap();
lower(&view, &inv, &entities).unwrap()
})
.collect();
assert_eq!(
lowered,
[
"The sage empties the minds. The sage fills the bellies. The sage weakens the wills. The sage strengthens the bones.",
"The heaven is long-enduring. The earth continues long.",
"The highest excellence is like the water.",
"The words that are strictly true seem paradoxical.",
"The space between heaven and earth may be compared to the bellows.",
]
);
// The committed packet store holds exactly what the module builds.
let stored = PacketStore::open(&root().join("packets.cc")).unwrap();
for p in packets() {
assert_eq!(stored.get(&p.id.to_string()).unwrap(), Some(p));
}
}

View file

@ -0,0 +1,140 @@
//! Error text is a fixed message naming the rule or variant. The caller's
//! identifiers (entity, node and inventory ids, IPA text, value strings) stay
//! on the typed value and never reach Display.
use std::collections::HashSet;
use weksa::packet::{EntityId, NodeId, ProvenanceSource};
use weksa::{Family, InvId, LowerError, Refusal, Slot};
const SENTINEL: &str = "sentinelzz";
fn inv() -> InvId {
InvId::parse("concept:4242").unwrap()
}
fn node() -> NodeId {
NodeId::parse("n4242").unwrap()
}
fn entity() -> EntityId {
EntityId::parse(&format!("entity:{SENTINEL}")).unwrap()
}
fn assert_clean_and_distinct<T: std::fmt::Display + std::fmt::Debug>(all: Vec<T>) {
let mut seen = HashSet::new();
for e in all {
let text = e.to_string();
assert!(!text.is_empty(), "{e:?}");
for leak in [SENTINEL, "4242", "{", "}"] {
assert!(!text.contains(leak), "{e:?} leaks {leak:?}: {text}");
}
assert!(seen.insert(text.clone()), "{e:?} repeats {text:?}");
}
}
#[test]
fn lower_error_display_names_the_variant_and_no_identifier() {
assert_clean_and_distinct(vec![
LowerError::Unrendered { what: SENTINEL },
LowerError::NoRow { id: inv() },
LowerError::GlossMismatch {
id: inv(),
row: SENTINEL,
},
LowerError::UnknownRole {
frame: inv(),
role: SENTINEL.into(),
},
LowerError::MissingRole {
predication: node(),
role: SENTINEL.into(),
},
LowerError::UnknownEntity { entity: entity() },
LowerError::NoForm { entity: entity() },
LowerError::NoPronunciation { entity: entity() },
LowerError::NoEntityReferent,
LowerError::UnknownPhone {
entity: entity(),
at: 4242,
text: SENTINEL.into(),
},
LowerError::DanglingStress {
entity: entity(),
at: 4242,
},
LowerError::ConsentMissing {
predication: node(),
},
LowerError::AskerNotAddressee {
predication: node(),
},
LowerError::EntityRead {
entity: entity(),
why: SENTINEL.into(),
},
]);
assert_eq!(
LowerError::NoPronunciation { entity: entity() }.to_string(),
"entity has no ruled pronunciation"
);
}
#[test]
fn refusal_display_names_the_rule_and_no_identifier() {
let all = vec![
Refusal::V1SchemaVersion { found: 4242 },
Refusal::V2PayloadRequired,
Refusal::V3DuplicateNode { id: node() },
Refusal::V4DanglingRef {
id: node(),
at: SENTINEL,
},
Refusal::V5Unresolved { id: inv() },
Refusal::V6WrongFamily {
id: inv(),
expected: Family::Role,
at: SENTINEL,
},
Refusal::V7ValueKind {
what: SENTINEL.into(),
},
Refusal::V8NotApplicable {
feature: inv(),
slot: Slot::Scene,
},
Refusal::V10UnknownRevision { rev: 4242 },
Refusal::V11DuplicateFeature {
feature: inv(),
slot: Some(Slot::Scene),
},
Refusal::V11DuplicateNodeRef {
id: node(),
at: SENTINEL,
},
Refusal::V11DuplicateRole {
role: inv(),
predication: node(),
},
Refusal::V12TooManyNodes {
count: 4242,
max: 4242,
},
Refusal::V14ConsentWithoutAddressee,
Refusal::V14ConsentNotAPredication { id: node() },
Refusal::V15ConsentSource {
source: ProvenanceSource::ImportedCorpus,
},
Refusal::V16SpeakerNotInScene,
Refusal::V17AddresseeNotAReferent { id: node() },
];
assert_eq!(
Refusal::V16SpeakerNotInScene.to_string(),
"V16: the scene does not cover the speaker of every live item of its group"
);
for r in &all {
assert!(r.to_string().starts_with(r.rule()), "{r:?}");
}
assert_clean_and_distinct(all);
assert_eq!(
Refusal::V14ConsentNotAPredication { id: node() }.to_string(),
"V14: consent names no predication"
);
}

View file

@ -397,7 +397,7 @@ fn packet_entities_resolve() {
#[test]
fn packet_schema_v2() {
assert_eq!(SCHEMA_VERSION, 4);
assert_eq!(SCHEMA_VERSION, 5);
let mut p = good();
p.schema_version = 2;
let Err(refused) = validate(&p, &inventory()) else {
@ -502,3 +502,96 @@ fn a_malformed_pronunciation_is_refused() {
}
assert_eq!(store.get(&eid("kay")).unwrap(), None);
}
const LANTERN: &str = r#"{"slug":"lantern-wager","language":"en-US","admitted_on":"2026-11-13",
"source":{"PublicDomain":{"work":"The Lantern Wager","author":"A. Invented","edition_url":"https://example.invalid/lantern","licence":"public domain","jurisdiction":"US","translator":"none","edition_year":1890}},
"cast":[{"entity":"entity:orsa","forms":["Orsa"]},{"entity":"entity:tamsin","forms":["Tamsin","Tam"]}],
"lines":[{"group":"s1","speaker":"entity:orsa","text":"Tamsin, bring the lantern."},
{"group":"s1","speaker":"entity:tamsin","text":"Tamsin's lantern, said Orsa."},
{"group":"s2","speaker":"entity:orsa","text":"Quiet, both of you."}]}"#;
fn marked(line: u32, text: &str) -> weksa::encode::MarkedLine {
weksa::encode::MarkedLine { line, marked: text.into() }
}
#[test]
fn an_imported_work_passes_the_store_doors() {
use weksa::Annotator;
use weksa::corpus::ModelFamily;
let d = tempfile::tempdir().unwrap();
let mut entities = EntityStore::open(&d.path().join("e.cc")).unwrap();
let mut corpus = CorpusStore::open(&d.path().join("c.cc")).unwrap();
let model = Annotator::Model { family: ModelFamily::Anthropic, generator: "g".into() };
let work = || weksa::encode::WorkDraft::parse(LANTERN).unwrap();
let (cast, items) = work()
.into_import(&[marked(1, "[[entity:tamsin|Tamsin]], bring the lantern.")], &model)
.unwrap();
for e in cast {
assert_eq!(entities.put(e).unwrap(), AddOutcome::Added);
}
for i in items.clone() {
assert_eq!(corpus.add(i, &entities).unwrap(), AddOutcome::Added);
}
drop(corpus);
let mut corpus = CorpusStore::open(&d.path().join("c.cc")).unwrap();
let stored = corpus.get("item:lantern-wager:1").unwrap().unwrap();
assert_eq!(stored.names_by, Some(model.clone()));
assert_eq!(stored.names.len(), 1);
assert_eq!(corpus.add(items[0].clone(), &entities).unwrap(), AddOutcome::Unchanged);
// A form the entity does not list is the store's refusal, not the importer's.
let (_, bad) = work()
.into_import(&[marked(2, "[[entity:tamsin|Tamsin's]] lantern, said Orsa.")], &model)
.unwrap();
assert!(matches!(
refusal(corpus.add(bad[0].clone(), &entities)),
StoreRefusal::NameSpanNotAForm { .. }
));
// An operator run over another line labels its own spans.
let (_, op) = work()
.into_import(&[marked(3, "Quiet, both of you.")], &Annotator::Operator)
.unwrap();
assert_eq!(corpus.add(op[0].clone(), &entities).unwrap(), AddOutcome::Added);
assert_eq!(
corpus.get("item:lantern-wager:3").unwrap().unwrap().names_by,
Some(Annotator::Operator)
);
// The first run's line keeps its label.
assert_eq!(corpus.get("item:lantern-wager:1").unwrap().unwrap().names_by, Some(model));
}
#[test]
fn committed_items_read_with_no_names_label() {
let data = std::path::Path::new(env!("CARGO_MANIFEST_DIR")).join("../../data");
for sub in ["daodejing", "original"] {
let d = tempfile::tempdir().unwrap();
let copy = d.path().join("c.cc");
std::fs::copy(data.join(sub).join("corpus.cc"), &copy).unwrap();
let items = CorpusStore::open(&copy).unwrap().all().unwrap();
assert!(!items.is_empty(), "{sub}");
assert!(items.iter().all(|i| i.names_by.is_none()), "{sub}");
}
}
#[test]
fn a_blank_names_by_generator_is_refused_by_the_corpus_door() {
use weksa::Annotator;
use weksa::corpus::ModelFamily;
let d = tempfile::tempdir().unwrap();
let mut entities = EntityStore::open(&d.path().join("e.cc")).unwrap();
let mut corpus = CorpusStore::open(&d.path().join("c.cc")).unwrap();
let blank = Annotator::Model { family: ModelFamily::Anthropic, generator: " ".into() };
let (cast, items) = weksa::encode::WorkDraft::parse(LANTERN)
.unwrap()
.into_import(&[marked(3, "Quiet, both of you.")], &blank)
.unwrap();
for e in cast {
entities.put(e).unwrap();
}
assert!(matches!(
refusal(corpus.add(items[0].clone(), &entities)),
StoreRefusal::Malformed { .. }
));
assert!(corpus.all().unwrap().is_empty());
}

View file

@ -51,15 +51,12 @@ fn forms_refuse_surface_text() {
}
#[test]
fn a_refusal_names_the_form_and_the_value_and_a_form_reads_back_as_written() {
fn a_refusal_names_the_form_and_keeps_the_value_out_of_its_text() {
let e = NodeId::parse("n0").unwrap_err();
assert_eq!(e.form, "NodeId");
assert_eq!(e.got, "n0");
assert_eq!(e.to_string(), "\"n0\" is not a NodeId");
assert_eq!(
Grade::new(1001).unwrap_err().to_string(),
"\"1001\" is not a Grade"
);
assert_eq!(e.to_string(), "not a NodeId");
assert_eq!(Grade::new(1001).unwrap_err().to_string(), "not a Grade");
assert_eq!(EncoderId::parse(ENCODER_ID).unwrap().as_str(), ENCODER_ID);
assert_eq!(PacketId::parse(PACKET_ID).unwrap().as_str(), PACKET_ID);
assert_eq!(
@ -150,3 +147,23 @@ fn grade_bound_is_the_type() {
assert_eq!(grade["minimum"], 0, "{grade}");
assert_eq!(schema["$defs"]["NodeId"]["pattern"], "^n[1-9][0-9]{0,3}$");
}
#[test]
fn calendar_dates_follow_the_gregorian_rule_and_ascii_digits_only() {
use weksa::form::is_calendar_date;
for ok in ["2024-02-29", "2000-02-29", "2026-12-31"] {
assert!(is_calendar_date(ok), "{ok}");
}
for bad in [
"1900-02-29",
"2023-02-29",
"2026-04-31",
"2026-10-00",
"2026-00-10",
"+026-10-29",
"2026-10-2\u{669}",
"\u{6f0}026-10-29",
] {
assert!(!is_calendar_date(bad), "{bad}");
}
}

File diff suppressed because it is too large Load diff

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@ -11,7 +11,7 @@ use weksa::inventory::proof_revision;
use weksa::packet::{EntityId, FeatValue, FeatureValue, Packet, proof_packet};
use weksa::{
CorpusStore, EntityForms, EntityStore, Inventory, InventoryStore, LowerError, LoweringInput,
PacketStore, Pronunciation, lower, pronounce, validate,
PacketStore, PhoneInventory, PhoneLine, Pronunciation, Stress, lower, pronounce, validate,
};
const PROOF: &str = "Warning: you may endanger yourself by touching the control. \
@ -142,6 +142,7 @@ fn a_packet_carrying_what_the_lowerer_does_not_render_is_refused() {
filler,
})
};
let consent = |p: &mut Packet| p.discourse.addressee_consent = Some(nd("n5"));
let lone_referent = |p: &mut Packet| {
let mut r = p.referents[0].clone();
r.id = nd("n99");
@ -150,6 +151,7 @@ fn a_packet_carrying_what_the_lowerer_does_not_render_is_refused() {
for (what, edit) in [
("features", &discourse as &dyn Fn(&mut Packet)),
("features", &predication),
("addressee consent", &consent),
("relations", &relation),
("extensions", &extension),
("no predication", &no_predication),
@ -434,3 +436,297 @@ fn ipa_needs_an_entity_the_port_holds_and_a_packet_that_cites_one() {
Err(LowerError::NoEntityReferent)
);
}
// ---- the phones line: the phone inventory and the segmenter ----
fn phones_of(ipa: &str) -> Result<Vec<PhoneLine>, LowerError> {
let mut n = nibu(&[("en-US", &["Nibu"])]);
n.forms[0].pronunciation = Some(ruled(ipa, &[]));
let mut e = Entities::default();
e.held.push(n);
let (inv, _dir) = committed();
weksa::phones(&view(&proof_packet(), &inv), &e)
}
fn seg(ipa: &str) -> Vec<(String, Stress)> {
let inv = PhoneInventory::for_language("en-US").unwrap();
inv.segment(ipa)
.unwrap()
.into_iter()
.map(|p| (p.ipa, p.stress))
.collect()
}
fn pairs(v: &[(&str, Stress)]) -> Vec<(String, Stress)> {
v.iter().map(|(i, s)| ((*i).to_string(), *s)).collect()
}
#[test]
fn nibus_committed_ruling_lowers_to_the_committed_phones_fixture() {
let (inv, _dir) = committed();
let lines = weksa::phones(&view(&proof_packet(), &inv), &committed_entities()).unwrap();
let fixture = std::fs::read_to_string(
Path::new(env!("CARGO_MANIFEST_DIR"))
.join("../../data/phonology/fixtures/nibu-en-US.phones.json"),
)
.unwrap();
assert_eq!(lines.len(), 1);
assert_eq!(serde_json::to_string(&lines[0]).unwrap(), fixture.trim_end());
}
#[test]
fn tense_i_is_a_phone_and_the_rejected_lax_form_is_a_different_one() {
use weksa::phones::{Class, Tenseness};
let inv = PhoneInventory::for_language("en-US").unwrap();
assert_eq!(inv.class("i"), Some(&Class::Vowel(Tenseness::Tense)));
assert_eq!(inv.class("ɪ"), Some(&Class::Vowel(Tenseness::Lax)));
assert_eq!(inv.class("u"), Some(&Class::Vowel(Tenseness::Tense)));
let ruled_form = seg("ˈnibu");
let lax = seg("ˈnɪbu");
assert_ne!(ruled_form, lax);
assert_eq!(lax[1], ("ɪ".to_string(), Stress::Primary));
// The committed seed rejects the lax form, and it is not what the seed emits.
let seed = committed_entities();
let nibu = seed.get(&EntityId::parse("entity:nibu").unwrap()).unwrap().unwrap();
let p = nibu.pronunciation_in("en-US").unwrap();
assert_eq!(p.rejected, ["ˈnɪbu"]);
assert_eq!(seg(&p.ipa), ruled_form);
assert!(p.rejected.iter().all(|r| seg(r) != seg(&p.ipa)));
}
#[test]
fn stress_lands_on_the_vowel_after_the_mark_and_nowhere_else() {
use Stress::{None as N, Primary as P, Secondary as S};
assert_eq!(seg("ˈnibu"), pairs(&[("n", N), ("i", P), ("b", N), ("u", N)]));
assert_eq!(seg("nˈibu"), seg("ˈnibu"));
assert_eq!(seg("bˈunˌi"), pairs(&[("b", N), ("u", P), ("n", N), ("i", S)]));
assert_eq!(seg("nibu"), pairs(&[("n", N), ("i", N), ("b", N), ("u", N)]));
}
#[test]
fn multi_character_phones_are_one_phone_by_longest_match() {
use Stress::{None as N, Primary as P};
assert_eq!(seg("ˈtʃeɪ"), pairs(&[("tʃ", N), ("eɪ", P)]));
assert_eq!(seg("dʒaʊ"), pairs(&[("dʒ", N), ("aʊ", N)]));
// /t/ then /ʃ/ is not what a lone "t" and "ʃ" mean when the affricate is listed,
// but a symbol sequence the inventory cannot join still splits.
assert_eq!(seg("ɔɪt"), pairs(&[("ɔɪ", N), ("t", N)]));
}
#[test]
fn a_phone_the_inventory_lacks_is_refused_with_where_and_never_guessed() {
let id = EntityId::parse("entity:nibu").unwrap();
for (ipa, at, text) in [
("ˈnixu", "ˈni".len(), "xu"),
("ˈniːbu", "ˈni".len(), "ːbu"),
("ˈnibu.", "ˈnibu".len(), "."),
("ˈni bu", "ˈni".len(), " bu"),
] {
assert_eq!(
phones_of(ipa),
Err(LowerError::UnknownPhone { entity: id.clone(), at, text: text.into() }),
"{ipa}"
);
}
}
#[test]
fn a_stress_mark_with_no_vowel_to_land_on_is_refused() {
let id = EntityId::parse("entity:nibu").unwrap();
for (ipa, at) in [("nibuˈ", "nibu".len()), ("ˈˈnibu", 0), ("ˈnˈibu", 0), ("ˈnb", 0)] {
assert_eq!(
phones_of(ipa),
Err(LowerError::DanglingStress { entity: id.clone(), at }),
"{ipa}"
);
}
}
#[test]
fn phones_need_a_ruling_and_an_entity_exactly_as_ipa_does() {
assert_eq!(
weksa::phones(&view(&proof_packet(), &committed().0), &Entities::default()),
Err(LowerError::UnknownEntity { entity: EntityId::parse("entity:nibu").unwrap() })
);
let mut e = Entities::default();
e.held.push(nibu(&[("en-US", &["Nibu"])]));
assert_eq!(
weksa::phones(&view(&proof_packet(), &committed().0), &e),
Err(LowerError::NoPronunciation { entity: EntityId::parse("entity:nibu").unwrap() })
);
}
#[test]
fn the_inventory_parser_refuses_what_it_cannot_read() {
for bad in [
"i\tvowel\ttense",
"i\tvowel\t-\tx",
"n\tconsonant\ttense\tx",
"i\tvowel\tmid\tx",
"ˈi\tvowel\ttense\tx",
"\tvowel\ttense\tx",
"i\tvowel\ttense\t",
"i\tvowel\ttense\ta\ni\tvowel\tlax\tb",
] {
assert!(PhoneInventory::parse(bad).is_err(), "{bad:?}");
}
assert!(PhoneInventory::parse("# c\n\ni\tvowel\ttense\ta\n").is_ok());
assert!(PhoneInventory::for_language("sa-Latn").is_none());
}
/// `nibu-proof-001` re-cut as the request: the addressee asked Nibu to stop,
/// one frame:3 predication (n4), consent naming it, and no other claim.
fn asked() -> Packet {
let mut p = proof_packet();
p.referents.remove(1);
let mut ask = p.predications[1].clone();
ask.id = nd("n4");
ask.concept = iv("concept:6");
ask.frame = iv("frame:3");
ask.roles = vec![
weksa::packet::RoleFill {
role: iv("role:1"),
filler: nd("n1"),
},
weksa::packet::RoleFill {
role: iv("role:2"),
filler: nd("n3"),
},
];
p.predications = vec![ask];
p.discourse.speech_act = Some(iv("speech_act:1"));
p.discourse.addressee_consent = Some(nd("n4"));
p.constraints.preserve = vec![nd("n1")];
p
}
/// The request plus a frame:2 predication (n5) the consent could wrongly name.
fn asked_and_stopped() -> Packet {
let mut p = asked();
let mut stop = proof_packet().predications.remove(1);
stop.roles[1].filler = nd("n4");
p.predications.push(stop);
p
}
#[test]
fn a_consented_request_lowers_to_what_the_addressee_asked() {
let (inv, _dir) = committed();
assert_eq!(lowered(&asked(), &inv).unwrap(), "You asked Nibu to stop.");
let mut p = asked();
p.provenance.source = weksa::packet::ProvenanceSource::GameTelemetry;
assert_eq!(lowered(&p, &inv).unwrap(), "You asked Nibu to stop.");
}
#[test]
fn a_request_without_its_consent_is_refused_not_invented() {
let (inv, _dir) = committed();
let mut p = asked();
p.discourse.addressee_consent = None;
assert_eq!(
lowered(&p, &inv),
Err(LowerError::ConsentMissing {
predication: nd("n4")
})
);
// Consent that names a different predication is no consent to the request.
let mut p = asked_and_stopped();
p.discourse.addressee_consent = Some(nd("n5"));
assert_eq!(
lowered(&p, &inv),
Err(LowerError::ConsentMissing {
predication: nd("n4")
})
);
}
#[test]
fn consent_to_one_of_two_requests_leaves_the_other_unconsented() {
let (inv, _dir) = committed();
let mut p = asked();
let mut second = p.predications[0].clone();
second.id = nd("n5");
p.predications.push(second);
assert_eq!(
lowered(&p, &inv),
Err(LowerError::ConsentMissing {
predication: nd("n5")
})
);
}
#[test]
fn the_asker_is_the_role_the_inventory_glosses_agent_not_the_first_role() {
// role:1 and role:2 swap glosses: "agent" is now role:2, so the asker of
// `asked()` (role:1 filled by the addressee) is the one role:2 names, Nibu.
// A lookup that took the first role, or the first live entry, would read the
// addressee and let the request through.
let dir = tempfile::tempdir().unwrap();
let mut store = InventoryStore::open(&dir.path().join("i.cc")).unwrap();
let (rev1, mut entries) = weksa::inventory::seed();
for e in &mut entries {
if e.id == iv("role:1") {
e.gloss = "patient".into();
} else if e.id == iv("role:2") {
e.gloss = "agent".into();
}
}
store.admit_revision(rev1, entries).unwrap();
let (rev2, entries) = proof_revision();
store.admit_revision(rev2, entries).unwrap();
let inv = store.inventory().unwrap();
assert_eq!(
lower(&admitted(&asked(), &store), &inv, &committed_entities()),
Err(LowerError::AskerNotAddressee {
predication: nd("n4")
})
);
}
#[test]
fn a_request_by_someone_other_than_the_addressee_is_refused() {
let (inv, _dir) = committed();
let mut p = asked();
p.predications[0].roles[0].filler = nd("n3");
p.predications[0].roles[1].filler = nd("n1");
assert_eq!(
lowered(&p, &inv),
Err(LowerError::AskerNotAddressee {
predication: nd("n4")
})
);
}
#[test]
fn consent_on_a_claim_that_is_no_request_stays_unrendered() {
let (inv, _dir) = committed();
let mut p = proof_packet();
p.discourse.addressee_consent = Some(nd("n5"));
assert_eq!(
lowered(&p, &inv),
Err(LowerError::Unrendered {
what: "addressee consent"
})
);
}
#[test]
fn a_decomposition_or_import_cannot_reach_the_lowerer_with_consent() {
let root = Path::new(env!("CARGO_MANIFEST_DIR")).join("../..");
let inventory = InventoryStore::open(&root.join("data/interlingua/inventory.cc")).unwrap();
let corpus = CorpusStore::open(&root.join("data/corpus/corpus.cc")).unwrap();
let entities = EntityStore::open(&root.join("data/entity/entity.cc")).unwrap();
for source in [
weksa::packet::ProvenanceSource::ModelDecomposition,
weksa::packet::ProvenanceSource::ImportedCorpus,
] {
let mut p = asked();
p.provenance.source = source;
let dir = tempfile::tempdir().unwrap();
let refused = PacketStore::open(&dir.path().join("p.cc"))
.unwrap()
.admit(p, &inventory, &corpus, &entities)
.unwrap_err();
assert!(format!("{refused:?}").contains("V15"), "{source:?}");
}
}

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# Lm, Node 24 (Unicode 17.0) over 0..10FFFF, one hex code point per line
2B0
2B1
2B2
2B3
2B4
2B5
2B6
2B7
2B8
2B9
2BA
2BB
2BC
2BD
2BE
2BF
2C0
2C1
2C6
2C7
2C8
2C9
2CA
2CB
2CC
2CD
2CE
2CF
2D0
2D1
2E0
2E1
2E2
2E3
2E4
2EC
2EE
374
37A
559
640
6E5
6E6
7F4
7F5
7FA
81A
824
828
8C9
971
E46
EC6
10FC
17D7
1843
1AA7
1C78
1C79
1C7A
1C7B
1C7C
1C7D
1D2C
1D2D
1D2E
1D2F
1D30
1D31
1D32
1D33
1D34
1D35
1D36
1D37
1D38
1D39
1D3A
1D3B
1D3C
1D3D
1D3E
1D3F
1D40
1D41
1D42
1D43
1D44
1D45
1D46
1D47
1D48
1D49
1D4A
1D4B
1D4C
1D4D
1D4E
1D4F
1D50
1D51
1D52
1D53
1D54
1D55
1D56
1D57
1D58
1D59
1D5A
1D5B
1D5C
1D5D
1D5E
1D5F
1D60
1D61
1D62
1D63
1D64
1D65
1D66
1D67
1D68
1D69
1D6A
1D78
1D9B
1D9C
1D9D
1D9E
1D9F
1DA0
1DA1
1DA2
1DA3
1DA4
1DA5
1DA6
1DA7
1DA8
1DA9
1DAA
1DAB
1DAC
1DAD
1DAE
1DAF
1DB0
1DB1
1DB2
1DB3
1DB4
1DB5
1DB6
1DB7
1DB8
1DB9
1DBA
1DBB
1DBC
1DBD
1DBE
1DBF
2071
207F
2090
2091
2092
2093
2094
2095
2096
2097
2098
2099
209A
209B
209C
2C7C
2C7D
2D6F
2E2F
3005
3031
3032
3033
3034
3035
303B
309D
309E
30FC
30FD
30FE
A015
A4F8
A4F9
A4FA
A4FB
A4FC
A4FD
A60C
A67F
A69C
A69D
A717
A718
A719
A71A
A71B
A71C
A71D
A71E
A71F
A770
A788
A7F1
A7F2
A7F3
A7F4
A7F8
A7F9
A9CF
A9E6
AA70
AADD
AAF3
AAF4
AB5C
AB5D
AB5E
AB5F
AB69
FF70
FF9E
FF9F
10780
10781
10782
10783
10784
10785
10787
10788
10789
1078A
1078B
1078C
1078D
1078E
1078F
10790
10791
10792
10793
10794
10795
10796
10797
10798
10799
1079A
1079B
1079C
1079D
1079E
1079F
107A0
107A1
107A2
107A3
107A4
107A5
107A6
107A7
107A8
107A9
107AA
107AB
107AC
107AD
107AE
107AF
107B0
107B2
107B3
107B4
107B5
107B6
107B7
107B8
107B9
107BA
10D4E
10D6F
10EC5
11DD9
16B40
16B41
16B42
16B43
16D40
16D41
16D42
16D6B
16D6C
16F93
16F94
16F95
16F96
16F97
16F98
16F99
16F9A
16F9B
16F9C
16F9D
16F9E
16F9F
16FE0
16FE1
16FE3
16FF2
16FF3
1AFF0
1AFF1
1AFF2
1AFF3
1AFF5
1AFF6
1AFF7
1AFF8
1AFF9
1AFFA
1AFFB
1AFFD
1AFFE
1E030
1E031
1E032
1E033
1E034
1E035
1E036
1E037
1E038
1E039
1E03A
1E03B
1E03C
1E03D
1E03E
1E03F
1E040
1E041
1E042
1E043
1E044
1E045
1E046
1E047
1E048
1E049
1E04A
1E04B
1E04C
1E04D
1E04E
1E04F
1E050
1E051
1E052
1E053
1E054
1E055
1E056
1E057
1E058
1E059
1E05A
1E05B
1E05C
1E05D
1E05E
1E05F
1E060
1E061
1E062
1E063
1E064
1E065
1E066
1E067
1E068
1E069
1E06A
1E06B
1E06C
1E06D
1E137
1E138
1E139
1E13A
1E13B
1E13C
1E13D
1E4EB
1E6FF
1E94B

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@ -0,0 +1,25 @@
//! Pins for behaviour of the small and middle weksa files that mutation testing
//! found unpinned. Each test states the behaviour in domain terms.
use weksa::form::is_calendar_date;
/// A calendar date is exactly `YYYY-MM-DD`: both hyphens sit where the format
/// puts them, so a ten-byte string with a digit in the second hyphen's place is
/// no date.
#[test]
fn a_calendar_date_needs_both_hyphens_in_place() {
assert!(is_calendar_date("2026-01-01"));
assert!(!is_calendar_date("2026-01201"));
assert!(!is_calendar_date("2026101-01"));
}
/// February has 29 days in a Gregorian leap year and 28 otherwise.
#[test]
fn february_has_29_days_only_in_gregorian_leap_years() {
assert!(is_calendar_date("2024-02-29"));
assert!(is_calendar_date("2000-02-29"));
assert!(!is_calendar_date("1900-02-29"));
assert!(!is_calendar_date("2023-02-29"));
assert!(is_calendar_date("2023-02-28"));
assert!(!is_calendar_date("2024-02-30"));
}

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@ -0,0 +1,297 @@
//! Pins found by mutation testing store.rs, inventory.rs and main.rs. Each test
//! states what the production code must do, in domain terms.
mod common;
use common::*;
use std::process::{Command, Output};
use weksa::packet::Grade;
use weksa::store::EntityBound;
use weksa::{
Annotator, Condition, EntityStore, Layer, OntologyEntry, OntologyStore, Pronunciation, Refusal,
Slot, StoreError, StoreRefusal, Test,
};
fn refusal<T: std::fmt::Debug>(r: Result<T, StoreError>) -> StoreRefusal {
match r {
Err(StoreError::Refused(r)) => r,
other => panic!("expected a store refusal, got {other:?}"),
}
}
fn kay_saying(p: Pronunciation) -> weksa::Entity {
let mut e = ent("kay", "en-US", &["Kay"]);
e.forms[0].pronunciation = Some(p);
e
}
fn ruling(ipa: &str, rejected: Vec<String>) -> Pronunciation {
Pronunciation {
ipa: ipa.into(),
ruled_by: "Kay".into(),
date: "2026-11-07".into(),
source: "test".into(),
rejected,
}
}
#[test]
fn a_pronunciation_with_a_control_or_invisible_format_character_is_refused() {
let d = tempfile::tempdir().unwrap();
let mut store = EntityStore::open(&d.path().join("e.cc")).unwrap();
// Either kind alone is refused: a control character, and a zero-width space.
for ipa in ["ˈk\u{7}eɪ", "ˈk\u{200b}eɪ"] {
assert!(
matches!(
store.put(kay_saying(ruling(ipa, vec![]))),
Err(StoreError::Refused(StoreRefusal::Malformed { .. }))
),
"{ipa:?}"
);
}
// The same for a rejected pronunciation.
for bad in ["ˈk\u{7}aɪ", "ˈk\u{200b}aɪ"] {
assert!(
matches!(
store.put(kay_saying(ruling("ˈkeɪ", vec![bad.into()]))),
Err(StoreError::Refused(StoreRefusal::Malformed { .. }))
),
"{bad:?}"
);
}
assert_eq!(store.get(&eid("kay")).unwrap(), None);
}
#[test]
fn a_pronunciation_keeps_at_most_eight_rejected_variants() {
let d = tempfile::tempdir().unwrap();
let mut store = EntityStore::open(&d.path().join("e.cc")).unwrap();
let variants = |n: usize| -> Vec<String> { (0..n).map(|i| format!("ˈkaɪ{i}")).collect() };
assert_eq!(
refusal(store.put(kay_saying(ruling("ˈkeɪ", variants(9))))),
StoreRefusal::EntityBounds {
id: eid("kay"),
bound: EntityBound::Forms
}
);
store
.put(kay_saying(ruling("ˈkeɪ", variants(8))))
.expect("eight rejected variants are the bound, not beyond it");
}
#[test]
fn an_ontology_entry_read_at_an_unknown_revision_is_refused_with_one_refusal() {
let w = world();
let mut onto = OntologyStore::open(&w.dir.path().join("o2.cc")).unwrap();
let entry = OntologyEntry {
language: "en-US".into(),
n: 1,
inventory_rev: 99,
layer: Layer::Discourse,
when: vec![Condition {
slot: Slot::Stance,
feature: iv(ANGER),
test: Test::AtLeast(Grade::new(200).unwrap()),
}],
choice: "WARM".into(),
examples: vec![],
annotator: Annotator::Operator,
};
match onto.admit(vec![entry], &w.inventory) {
Err(StoreError::Invalid(r)) => assert_eq!(r, vec![Refusal::V10UnknownRevision { rev: 99 }]),
other => panic!("{other:?}"),
}
}
fn weksa(dir: &std::path::Path, args: &[&str]) -> Output {
Command::new(env!("CARGO_BIN_EXE_weksa"))
.current_dir(dir)
.args([
"--corpus",
"./c.cc",
"--inventory",
"./i.cc",
"--entities",
"./e.cc",
"--ontology",
"./o.cc",
"--speaker-state",
"./s.cc",
])
.args(args)
.output()
.unwrap()
}
fn out(o: &Output) -> String {
String::from_utf8_lossy(&o.stdout).into_owned() + &String::from_utf8_lossy(&o.stderr)
}
fn ok(o: Output) -> String {
assert!(o.status.success(), "{}", out(&o));
out(&o)
}
/// A scene bed: entities nibu and brokkr, the inventory through the
/// speaker-scene revision (rev 3).
fn scene_bed() -> tempfile::TempDir {
let d = tempfile::tempdir().unwrap();
for slug in ["nibu", "brokkr"] {
let id = format!("entity:{slug}");
let form = format!("en-US={}", slug.to_uppercase());
ok(weksa(
d.path(),
&[
"entity",
"put",
&id,
"--form",
&form,
"--origin",
"cast",
"--persona",
slug,
"--fixture",
"f.yaml",
],
));
}
for step in ["seed", "proof", "speaker-scene"] {
ok(weksa(d.path(), &["inventory", step]));
}
d
}
/// Adds a cast-authored line; returns the key it printed ("Added <key>").
fn add_line(d: &std::path::Path, slug: &str, speaker: &str, group: &str, text: &str) -> String {
let speaker = format!("entity:{speaker}");
let printed = ok(weksa(
d,
&[
"corpus",
"add",
"--slug",
slug,
"--text",
text,
"--speaker",
&speaker,
"--group",
group,
"--admitted-on",
"2026-10-29",
"--source",
"cast-authored",
"--language",
"en-US",
"--persona",
"nibu",
"--fixture",
"f.yaml",
"--author",
"Ada Writer",
],
));
printed.split_whitespace().nth(1).unwrap().to_string()
}
fn scene_put(d: &std::path::Path, group: &str, to: &str) -> Output {
weksa(
d,
&[
"scene",
"put",
"--group",
group,
"--to",
to,
"--inventory-rev",
"3",
"--model-family",
"anthropic",
"--generator",
"a scene annotator",
"--set",
"intimacy=200",
],
)
}
#[test]
fn a_scene_group_holds_one_live_speaker_among_its_own_live_items() {
let d = scene_bed();
add_line(d.path(), "nibu", "nibu", "scene-1", "Mind the hatch.");
// Another group's speaker and a withdrawn line of this group are not the
// scene's speakers.
add_line(d.path(), "brokkr", "brokkr", "scene-2", "Brokkr hums.");
let gone = add_line(
d.path(),
"brokkr",
"brokkr",
"scene-1",
"Brokkr leaves early.",
);
ok(weksa(d.path(), &["corpus", "withdraw", &gone]));
let put = ok(scene_put(d.path(), "scene-1", "unnamed"));
assert!(put.contains("scene:scene-1@1"), "{put}");
assert!(ok(weksa(d.path(), &["scene", "dump"])).contains("entity:nibu->unnamed"));
}
#[test]
fn a_scene_names_its_addressee_as_a_participant_unless_it_is_the_speaker() {
let d = scene_bed();
add_line(d.path(), "nibu", "nibu", "scene-1", "Mind the hatch.");
add_line(d.path(), "nibu", "nibu", "scene-2", "Mind the ladder.");
ok(scene_put(d.path(), "scene-1", "entity:brokkr"));
let dump = ok(weksa(d.path(), &["scene", "dump"]));
assert!(dump.contains("scene:scene-1@1 rev:3"), "{dump}");
assert!(dump.contains("[entity:nibu,entity:brokkr]"), "{dump}");
// A speaker addressing themself is a one-participant scene, whose
// relation to a named party is refused as the store reads it.
let own = scene_put(d.path(), "scene-2", "entity:nibu");
assert!(!own.status.success());
assert!(
out(&own).contains("a relation's named to is another participant"),
"{}",
out(&own)
);
assert_eq!(ok(weksa(d.path(), &["scene", "dump"])), dump);
}
#[test]
fn relower_refuses_malformed_arm_and_floor_labels_before_reading_the_run() {
let d = tempfile::tempdir().unwrap();
let relower = |arm: &str, floor: &[&str]| {
let mut args = vec![
"loop",
"relower",
"no-such-run",
"--round",
"1",
"--arm",
arm,
"--lowerer",
"m",
];
for f in floor {
args.extend(["--floor", f]);
}
weksa(d.path(), &args)
};
for (arm, floor) in [
("BAD", vec!["b"]),
("a", vec!["Bad"]),
("a", vec!["a", "b"]),
("a", vec!["b", "b"]),
] {
let o = relower(arm, &floor);
assert!(!o.status.success());
assert!(
out(&o).contains("arm and floor labels must match"),
"{arm} {floor:?}: {}",
out(&o)
);
}
// Well-formed, distinct labels get past the label check (to the missing run).
let o = relower("a", &["b", "c"]);
assert!(!o.status.success());
assert!(out(&o).contains("the root holds no run"), "{}", out(&o));
}

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//! Pins for behaviour of `context.rs`, `encode.rs` and `run.rs` found unpinned
//! by mutation testing. Each test states what the code does in domain terms.
mod common;
use std::path::{Path, PathBuf};
use weksa::context::Prompt;
use weksa::entity::{Entity, EntityOrigin, LanguageForms};
use weksa::packet::{EntityId, proof_packet};
use weksa::{CorpusItemId, CorpusStore, EntityForms, EntityStore, InventoryStore, PacketStore};
fn data(sub: &str) -> PathBuf {
Path::new(env!("CARGO_MANIFEST_DIR"))
.join("../../data")
.join(sub)
}
struct Held(Vec<Entity>);
impl EntityForms for Held {
fn entity(&self, id: &EntityId) -> anyhow::Result<Option<Entity>> {
Ok(self.0.iter().find(|e| &e.id == id).cloned())
}
}
fn spoken(slug: &str, form: &str) -> Entity {
Entity {
id: EntityId::parse(&format!("entity:{slug}")).unwrap(),
forms: vec![LanguageForms {
language: "en-US".into(),
forms: vec![form.into()],
pronunciation: None,
}],
origin: EntityOrigin::Cast {
persona: slug.into(),
fixture: "f.yaml".into(),
},
}
}
/// A speaker whom no referent cites contributes no entry to the lowering
/// prompt, even when another entity is cited: only the cited entity is listed.
#[test]
fn an_uncited_speaker_is_absent_from_the_lowering_prompt() {
let cast_inv = InventoryStore::open(&data("interlingua/inventory.cc")).unwrap();
let entities = EntityStore::open(&data("entity/entity.cc")).unwrap();
let corpus = CorpusStore::open(&data("corpus/corpus.cc")).unwrap();
let dir = tempfile::tempdir().unwrap();
let view = PacketStore::open(&dir.path().join("p.cc"))
.unwrap()
.admit(proof_packet(), &cast_inv, &corpus, &entities)
.unwrap();
let state = weksa::SpeakerStateStore::open(&dir.path().join("s.cc")).unwrap();
let view = view
.with_scene(&cast_inv.inventory().unwrap(), &state, &corpus)
.unwrap();
let held = Held(vec![
spoken("nibu", "Nibu"),
spoken("other", "SPEAKERCANARY"),
]);
let item = CorpusItemId::parse("item:nibu:1").unwrap();
let speaker = EntityId::parse("entity:other").unwrap();
let prompt = Prompt::lower(
&view,
&item,
&speaker,
"en-US",
&cast_inv.inventory().unwrap(),
&held,
&weksa::Ontology::empty(),
)
.unwrap();
let text = prompt.text();
assert!(
text.contains("\n\nentities: {\"entity:nibu\":[\"Nibu\"]}\n\n"),
"{text}"
);
assert!(!text.contains("SPEAKERCANARY"), "{text}");
}
/// A run refuses a panel language that lacks a live Train or a live Validation
/// item: one no item carries, one with only a Test item, one with only Train.
#[test]
fn a_panel_language_no_item_carries_is_refused_at_open() {
let dir = tempfile::tempdir().unwrap();
let d = dir.path();
// Builds the corpus, entity and ontology stores the run reads.
drop(common::run_over(d));
let entities = common::entities_in(d);
let mut corpus = CorpusStore::open(&d.join("c.cc")).unwrap();
for (key, language, bucket) in [("item:jp:1", "ja-JP", 90), ("item:pt:1", "pt-BR", 10)] {
let mut item = common::item_in(
key,
&format!("line of {key}"),
&common::group_in_bucket(bucket),
common::cast(),
);
item.language = language.into();
corpus.add(item, &entities).unwrap();
}
drop(corpus);
let create = |panel: &[&str]| {
weksa::run::RunStores::create(
&d.join(format!("run-{}", panel.join("-"))),
"t",
weksa::run::RunPaths {
corpus: &d.join("c.cc"),
inventory: &d.join("i.cc"),
entities: &d.join("entities.cc"),
ontology: &d.join("ontology.cc"),
speaker_state: &common::speaker_state_beside(&d.join("ontology.cc")),
},
"fake-model",
"bag",
weksa::run::LowererReach::ToolLessRelay,
weksa::corpus::ModelFamily::Unrecorded,
&panel.iter().map(|t| (*t).to_string()).collect::<Vec<_>>(),
)
};
assert!(create(&["en-US"]).is_ok());
for panel in [&["ja-JP"][..], &["pt-BR"], &["xx-XX"], &["en-US", "ja-JP"]] {
assert!(
matches!(create(panel), Err(weksa::run::RunError::Panel)),
"{panel:?}"
);
}
}
/// A run keeps its recall probes in `recall` under its own root.
#[test]
fn a_run_keeps_its_recall_under_its_root() {
let dir = tempfile::tempdir().unwrap();
let run = common::run_over(dir.path());
assert_eq!(run.recall_dir(), dir.path().join("run").join("recall"));
}

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//! The ontology mint (`weksa loop mint-ontology`): a Train-only call that drafts
//! entries for `weksa ontology admit`. It shows a model the Train lines of one
//! panel language, the features a condition can read and that language's entry
//! lines; it admits nothing and writes nothing of the run.
mod common;
use std::path::Path;
use common::{cast, entities_in, group_in_bucket, item_in};
use weksa::context::Prompt;
use weksa::corpus::{ModelFamily, Source};
use weksa::inventory::{Change, seed};
use weksa::model::{AnswerFiles, ModelPort, PortError};
use weksa::run::{LowererReach, OntologyMintOutcome, RunPaths, RunStores};
use weksa::speaker::Annotator;
use weksa::{CorpusStore, InventoryStore, OntologyStore, Slot, ValueKind};
/// Records every prompt shown; answers with `reply`.
struct Record {
prompts: Vec<(String, Vec<String>)>,
reply: String,
}
impl Record {
fn new(reply: &str) -> Self {
Self { prompts: vec![], reply: reply.to_string() }
}
}
impl ModelPort for Record {
fn model(&self) -> &str {
"record"
}
fn answer(&mut self, p: &Prompt) -> Result<String, PortError> {
self.prompts.push((p.text().to_string(), p.item_keys().to_vec()));
Ok(self.reply.clone())
}
}
fn public() -> Source {
Source::PublicDomain {
work: "A Work".into(),
author: "An Author".into(),
edition_url: "https://example.org/e".into(),
licence: "CC0".into(),
jurisdiction: "US".into(),
translator: "A Translator".into(),
edition_year: 1900,
}
}
const STANCE_G: &str = "feature:60";
const DISC_FLAG: &str = "feature:61";
const REF_ONLY: &str = "feature:62";
const PRED_ONLY: &str = "feature:63";
const STANCE_RETIRED: &str = "feature:64";
const SCENE_G: &str = "feature:65";
const SCENE_OPT: &str = "feature:66";
/// A fixture: items in en-US and ja-JP across every split and a withdrawal, an
/// inventory with condition-readable and unreadable features, an ontology with
/// en-US and ja-JP entries, and a run over them with `panel`.
fn fixture(dir: &Path, panel: &[&str]) -> RunStores {
let entities = entities_in(dir);
let mut corpus = CorpusStore::open(&dir.join("c.cc")).unwrap();
let rows = [
("item:en:1", "en-US", "entrain mark one", 10, cast(), false),
("item:en:2", "en-US", "entrain mark two", 11, cast(), false),
("item:en:3", "en-US", "envalid mark three", 50, cast(), false),
("item:en:4", "en-US", "engone mark four", 12, cast(), true),
("item:en:5", "en-US", "entest mark five", 90, public(), false),
("item:ja:1", "ja-JP", "jatrain mark one", 13, cast(), false),
("item:ja:2", "ja-JP", "javalid mark two", 51, cast(), false),
("item:ja:3", "ja-JP", "jatest mark three", 91, public(), false),
];
for (id, language, text, bucket, source, withdrawn) in rows {
let mut item = item_in(id, text, &group_in_bucket(bucket), source);
item.language = language.into();
corpus.add(item, &entities).unwrap();
if withdrawn {
corpus.withdraw(id).unwrap();
}
}
drop(corpus);
let mut inv = InventoryStore::open(&dir.join("i.cc")).unwrap();
let (rev1, entries) = seed();
inv.admit_revision(rev1, entries).unwrap();
let f = |id, kind, slots: &[Slot]| common::feature(id, kind, slots);
let features = vec![
f(STANCE_G, ValueKind::Grade, &[Slot::Stance]),
f(DISC_FLAG, ValueKind::Flag, &[Slot::Discourse]),
f(REF_ONLY, ValueKind::Grade, &[Slot::Referent]),
f(PRED_ONLY, ValueKind::Grade, &[Slot::Predication]),
f(STANCE_RETIRED, ValueKind::Grade, &[Slot::Stance]),
f(SCENE_G, ValueKind::Grade, &[Slot::Scene]),
f(SCENE_OPT, ValueKind::Options(weksa::OptionSet::new(vec![weksa::OptionLabel::parse("below").unwrap(), weksa::OptionLabel::parse("above").unwrap()]).unwrap()), &[Slot::Scene]),
];
let changes = features.iter().map(|e| Change::Add(e.id)).collect();
let mut features = features;
for e in &mut features {
e.introduced_rev = 2;
}
inv.admit_revision(common::rev_with(changes, 2, Some(1)), features).unwrap();
inv.admit_revision(
common::rev_with(vec![Change::Retire(common::iv(STANCE_RETIRED))], 3, Some(2)),
vec![],
)
.unwrap();
let mut onto = OntologyStore::open(&dir.join("ontology.cc")).unwrap();
let annotator = Annotator::Model { family: ModelFamily::Anthropic, generator: "seed".into() };
let entry = |language: &str, choice: &str, examples: &[&str]| {
weksa::encode::OntologyDraft::parse(&format!(
r#"{{"entries":[{{"layer":"Grammar","choice":"{choice}","examples":[{}]}}]}}"#,
examples.iter().map(|x| format!("\"{x}\"")).collect::<Vec<_>>().join(",")
))
.unwrap()
.into_entries(language, 3, 1, &annotator)
};
onto.admit(entry("en-US", "enchoice marker", &["enexample marker"]), &inv).unwrap();
onto.admit(entry("ja-JP", "jachoice marker", &["jaexample marker"]), &inv).unwrap();
drop(onto);
drop(inv);
std::fs::write(dir.join("speaker-state.cc"), [0x90]).unwrap();
let panel: Vec<String> = panel.iter().map(|s| s.to_string()).collect();
RunStores::create(
&dir.join("run"),
"t",
RunPaths {
corpus: &dir.join("c.cc"),
inventory: &dir.join("i.cc"),
entities: &dir.join("entities.cc"),
ontology: &dir.join("ontology.cc"),
speaker_state: &dir.join("speaker-state.cc"),
},
"fake-model",
"bag",
LowererReach::ToolLessRelay,
ModelFamily::Unrecorded,
&panel,
)
.unwrap()
}
const DRAFT: &str =
r#"{"entries":[{"layer":"Discourse","when":[],"choice":"a pattern","examples":[]}]}"#;
#[test]
fn mint_ontology_prompt_shows_only_train_items_of_the_language() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US", "ja-JP"]);
let mut m = Record::new(DRAFT);
run.mint_ontology(&mut m, "en-US").unwrap();
let (text, keys) = &m.prompts[0];
assert!(text.contains("language: en-US"));
assert_eq!(keys, &["item:en:1", "item:en:2"]);
for shown in ["entrain mark one", "entrain mark two"] {
assert!(text.contains(shown), "{shown}");
}
for hidden in [
"envalid", "engone", "entest", "jatrain", "javalid", "jatest", "item:en:3", "item:en:5",
"item:ja",
] {
assert!(!text.contains(hidden), "the en-US mint showed {hidden}");
}
let mut m = Record::new(DRAFT);
run.mint_ontology(&mut m, "ja-JP").unwrap();
let (text, keys) = &m.prompts[0];
assert_eq!(keys, &["item:ja:1"]);
assert!(text.contains("jatrain mark one") && !text.contains("entrain"));
}
#[test]
fn mint_ontology_refuses_a_language_outside_the_panel() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US"]);
let mut m = Record::new(DRAFT);
// ja-JP has Train items in the corpus but is not in the panel.
for (language, code) in [("ja-JP", "language-not-in-panel"), ("fr-FR", "language-not-in-panel")] {
assert_eq!(
run.mint_ontology(&mut m, language).unwrap(),
OntologyMintOutcome::Refused { code }
);
}
assert!(m.prompts.is_empty(), "a refused mint asked the model");
}
#[test]
fn mint_ontology_prompt_lists_only_condition_readable_features() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US"]);
let mut m = Record::new(DRAFT);
run.mint_ontology(&mut m, "en-US").unwrap();
let text = &m.prompts[0].0;
let listed = |id: &str| text.contains(&format!("\n{id}: "));
for id in [STANCE_G, DISC_FLAG, SCENE_G] {
assert!(listed(id), "{id} is readable by a condition");
}
for id in [REF_ONLY, PRED_ONLY, STANCE_RETIRED] {
assert!(!listed(id), "{id} is not");
}
// Nothing that is not a feature: no concept or role line.
assert!(!text.contains("\nconcept:") && !text.contains("\nrole:"));
assert!(text.contains("features rev:3"));
}
#[test]
fn mint_ontology_prompt_lists_only_the_languages_existing_entries() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US", "ja-JP"]);
let mut m = Record::new(DRAFT);
run.mint_ontology(&mut m, "en-US").unwrap();
let text = &m.prompts[0].0;
assert!(text.contains("onto:en-US:1 enchoice marker"));
for hidden in ["jachoice", "onto:ja-JP", "enexample", "jaexample"] {
assert!(!text.contains(hidden), "{hidden}");
}
}
fn digests(dir: &Path) -> Vec<(String, Vec<u8>)> {
let mut out = vec![];
let mut stack = vec![dir.to_path_buf()];
while let Some(d) = stack.pop() {
for e in std::fs::read_dir(&d).unwrap() {
let p = e.unwrap().path();
if p.is_dir() {
stack.push(p);
} else if !p.starts_with(dir.join("run").join("ontology-mint")) {
out.push((p.display().to_string(), std::fs::read(&p).unwrap()));
}
}
}
out.sort();
out
}
#[test]
fn mint_ontology_writes_nothing_but_its_prompt_and_answer_files() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US", "ja-JP"]);
let before = digests(dir.path());
let mut files = AnswerFiles::new(run.ontology_mint_dir(), "m".into(), vec![]);
let OntologyMintOutcome::Unanswered { prompt } =
run.mint_ontology(&mut files, "en-US").unwrap()
else {
panic!("unanswered");
};
std::fs::write(run.ontology_mint_dir().join(format!("{prompt}.answer")), DRAFT).unwrap();
assert!(matches!(
run.mint_ontology(&mut files, "en-US").unwrap(),
OntologyMintOutcome::Drafted { entries: 1, .. }
));
assert_eq!(digests(dir.path()), before, "the mint wrote outside ontology-mint");
let mut names: Vec<String> = std::fs::read_dir(run.ontology_mint_dir())
.unwrap()
.map(|e| e.unwrap().file_name().into_string().unwrap())
.collect();
names.sort();
assert_eq!(names, [format!("{prompt}.answer"), format!("{prompt}.prompt")]);
drop(run);
RunStores::open(&dir.path().join("run")).expect("no Drift after a mint");
}
#[test]
fn mint_ontology_unanswered_then_drafted_then_refused() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US"]);
let mut files = AnswerFiles::new(run.ontology_mint_dir(), "m".into(), vec![]);
let OntologyMintOutcome::Unanswered { prompt } =
run.mint_ontology(&mut files, "en-US").unwrap()
else {
panic!("unanswered");
};
let mint = run.ontology_mint_dir();
assert!(mint.join(format!("{prompt}.prompt")).exists());
let answer = mint.join(format!("{prompt}.answer"));
std::fs::write(&answer, DRAFT).unwrap();
assert_eq!(
run.mint_ontology(&mut files, "en-US").unwrap(),
OntologyMintOutcome::Drafted { prompt: prompt.clone(), entries: 1 }
);
let two = r#"{"entries":[{"layer":"Grammar","choice":"a"},{"layer":"Lexicon","choice":"b"}]}"#;
std::fs::write(&answer, two).unwrap();
assert!(matches!(
run.mint_ontology(&mut files, "en-US").unwrap(),
OntologyMintOutcome::Drafted { entries: 2, .. }
));
let unknown = r#"{"entries":[{"layer":"Grammar","choice":"a","key":"x"}]}"#;
std::fs::write(&answer, unknown).unwrap();
assert_eq!(
run.mint_ontology(&mut files, "en-US").unwrap(),
OntologyMintOutcome::Refused { code: "unknown-field" }
);
std::fs::write(&answer, "not json").unwrap();
assert_eq!(
run.mint_ontology(&mut files, "en-US").unwrap(),
OntologyMintOutcome::Refused { code: "syntax" }
);
}
#[test]
fn a_mint_answer_admits_into_a_copy_and_a_new_run_pins_the_copy() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US"]);
let pinned = std::fs::read(dir.path().join("ontology.cc")).unwrap();
let pin = run.record().ontology_digest.clone();
let draft = format!(
r#"{{"entries":[{{"layer":"Discourse","when":[{{"slot":"Stance","feature":"{STANCE_G}","test":{{"AtLeast":500}}}}],"choice":"a grown choice","examples":[]}}]}}"#
);
let mut files = AnswerFiles::new(run.ontology_mint_dir(), "m".into(), vec![]);
let OntologyMintOutcome::Unanswered { prompt } =
run.mint_ontology(&mut files, "en-US").unwrap()
else {
panic!("unanswered");
};
let answer = run.ontology_mint_dir().join(format!("{prompt}.answer"));
std::fs::write(&answer, &draft).unwrap();
let copy = dir.path().join("grown.cc");
std::fs::copy(dir.path().join("ontology.cc"), &copy).unwrap();
let inv = InventoryStore::open(&dir.path().join("i.cc")).unwrap();
let mut grown = OntologyStore::open(&copy).unwrap();
let annotator = Annotator::Model { family: ModelFamily::Anthropic, generator: "minter".into() };
let first_n = grown.ontology().unwrap().entries().iter().filter(|e| e.language == "en-US").count() as u32 + 1;
let entries = weksa::encode::OntologyDraft::parse(&std::fs::read_to_string(&answer).unwrap())
.unwrap()
.into_entries("en-US", 3, first_n, &annotator);
grown.admit(entries, &inv).unwrap();
drop(grown);
assert_eq!(std::fs::read(dir.path().join("ontology.cc")).unwrap(), pinned);
let again = RunStores::open(&dir.path().join("run")).unwrap();
assert_eq!(again.record().ontology_digest, pin);
let second = RunStores::create(
&dir.path().join("run-grown"),
"t",
RunPaths {
corpus: &dir.path().join("c.cc"),
inventory: &dir.path().join("i.cc"),
entities: &dir.path().join("entities.cc"),
ontology: &copy,
speaker_state: &dir.path().join("speaker-state.cc"),
},
"fake-model",
"bag",
LowererReach::ToolLessRelay,
ModelFamily::Unrecorded,
&["en-US".to_string()],
)
.unwrap();
assert_ne!(second.record().ontology_digest, pin);
// A condition on a feature outside the inventory is the store's to refuse.
let outside = draft.replace(STANCE_G, "feature:99");
let entries = weksa::encode::OntologyDraft::parse(&outside)
.unwrap()
.into_entries("en-US", 3, 9, &annotator);
let mut grown = OntologyStore::open(&copy).unwrap();
assert!(grown.admit(entries, &inv).is_err());
}
/// The line after `example ` in a mint prompt.
fn example_of(text: &str) -> &str {
text.lines().find_map(|l| l.strip_prefix("example ")).expect("the prompt carries an example")
}
#[test]
fn the_mint_prompts_own_example_parses_and_admits_through_the_door() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US"]);
let mut m = Record::new(DRAFT);
run.mint_ontology(&mut m, "en-US").unwrap();
let example = example_of(&m.prompts[0].0);
// It teaches the door's spelling: a capitalized layer, feature ids, each test form.
assert!(example.contains(r#""layer":"Grammar""#), "{example}");
for form in [r#"{"AtLeast":500}"#, r#"{"Is":{"Option":"#, r#"{"Is":{"Flag":true}}"#] {
assert!(example.contains(form), "{form} in {example}");
}
let draft = weksa::encode::OntologyDraft::parse(example).unwrap();
let inv = InventoryStore::open(&dir.path().join("i.cc")).unwrap();
let copy = dir.path().join("grown.cc");
std::fs::copy(dir.path().join("ontology.cc"), &copy).unwrap();
let mut grown = OntologyStore::open(&copy).unwrap();
let annotator = Annotator::Model { family: ModelFamily::Anthropic, generator: "minter".into() };
grown.admit(draft.into_entries("en-US", 3, 2, &annotator), &inv).unwrap();
}
#[test]
fn the_mint_example_names_only_features_the_prompt_lists() {
let dir = tempfile::tempdir().unwrap();
let run = fixture(dir.path(), &["en-US"]);
let mut m = Record::new(DRAFT);
run.mint_ontology(&mut m, "en-US").unwrap();
let example = example_of(&m.prompts[0].0);
for unreadable in [REF_ONLY, PRED_ONLY, STANCE_RETIRED] {
assert!(!example.contains(unreadable), "{unreadable}");
}
}

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@ -1,156 +1,467 @@
//! The speaker's relation to the addressee as a lowering input: typed feature
//! values of slot `Scene`, checked against the inventory at the view's revision,
//! never wording, and only for a packet that names an addressee.
//! The speaker's relation to the addressee as a lowering input. `with_scene`
//! names neither speaker nor scene: the view knows its corpus item, so the
//! speaker is the item's speaker and the scene is the store's latest for the
//! item's group. The relation is the one from that speaker to the addressee
//! referent's entity. Typed feature values only, never wording.
mod common;
use std::path::Path;
use common::{grade, iv, lab};
use weksa::inventory::{proof_revision, scene_revision, seed};
use common::{cast, eid, entities_in, grade, item_in, lab, nd};
use weksa::inventory::{proof_revision, seed, speaker_scene_revision};
use weksa::packet::{FeatValue, FeatureValue, Packet, proof_packet};
use weksa::speaker::{Annotator, PairRelation, Party, Scene};
use weksa::{
CorpusStore, EntityStore, Inventory, InventoryStore, LoweringInput, PacketStore, Refusal, lower,
CorpusStore, EntityStore, Inventory, InventoryStore, LoweringInput, NameSpan, PacketStore,
Refusal, SceneRead, SpeakerStateStore, StoreError, lower,
};
fn store() -> (InventoryStore, Inventory, tempfile::TempDir) {
struct W {
dir: tempfile::TempDir,
inventory: InventoryStore,
corpus: CorpusStore,
entities: EntityStore,
state: SpeakerStateStore,
}
/// Group `g` holds `item:nibu:1`: Nibu says "Brokkr, come here." Group `h`
/// holds `item:nibu:2`, also spoken by Nibu.
fn world() -> W {
let dir = tempfile::tempdir().unwrap();
let mut store = InventoryStore::open(&dir.path().join("i.cc")).unwrap();
for (rev, entries) in [seed(), proof_revision(), scene_revision()] {
store.admit_revision(rev, entries).unwrap();
let mut inventory = InventoryStore::open(&dir.path().join("i.cc")).unwrap();
for (rev, entries) in [seed(), proof_revision(), speaker_scene_revision(3)] {
inventory.admit_revision(rev, entries).unwrap();
}
let inv = store.inventory().unwrap();
(store, inv, dir)
}
fn admitted(packet: &Packet, inventory: &InventoryStore) -> LoweringInput {
let root = Path::new(env!("CARGO_MANIFEST_DIR")).join("../..");
let corpus = CorpusStore::open(&root.join("data/corpus/corpus.cc")).unwrap();
let entities = EntityStore::open(&root.join("data/entity/entity.cc")).unwrap();
let dir = tempfile::tempdir().unwrap();
PacketStore::open(&dir.path().join("p.cc"))
.unwrap()
.admit(packet.clone(), inventory, &corpus, &entities)
.unwrap()
}
fn at_rev(rev: u32) -> Packet {
let mut p = proof_packet();
p.inventory_rev = rev;
p
}
fn feat(id: &str, value: FeatValue) -> FeatureValue {
FeatureValue {
feature: iv(id),
value,
let entities = entities_in(dir.path());
let mut corpus = CorpusStore::open(&dir.path().join("c.cc")).unwrap();
let mut first = item_in("item:nibu:1", "Brokkr, come here.", "g", cast());
first.names = vec![NameSpan {
entity: eid("brokkr"),
start: 0,
end: 6,
}];
corpus.add(first, &entities).unwrap();
corpus
.add(item_in("item:nibu:2", "Go away.", "h", cast()), &entities)
.unwrap();
let state = SpeakerStateStore::open(&dir.path().join("s.cc")).unwrap();
W {
dir,
inventory,
corpus,
entities,
state,
}
}
fn status(inv: &Inventory) -> String {
inv.entries()
.find(|e| e.gloss == "relative_status")
.unwrap()
.id
.to_string()
fn inv(w: &W) -> Inventory {
w.inventory.inventory().unwrap()
}
fn id_of(inv: &Inventory, gloss: &str) -> String {
inv.entries()
fn feat(gloss: &str, value: FeatValue) -> FeatureValue {
let feature = seed()
.1
.into_iter()
.chain(speaker_scene_revision(3).1)
.find(|e| e.gloss == gloss)
.unwrap()
.id
.to_string()
.unwrap_or_else(|| panic!("no feature {gloss}"))
.id;
FeatureValue { feature, value }
}
fn rules(r: Result<LoweringInput, Vec<Refusal>>) -> Vec<&'static str> {
r.unwrap_err().iter().map(Refusal::rule).collect()
fn intimacy(v: u16) -> Vec<FeatureValue> {
vec![feat("intimacy", FeatValue::Grade(grade(v)))]
}
fn status() -> Vec<FeatureValue> {
vec![
feat("relative_status", FeatValue::Option(lab("above"))),
feat("intimacy", FeatValue::Grade(grade(200))),
feat("in_group", FeatValue::Flag(false)),
]
}
fn relation(from: &str, to: Party, features: Vec<FeatureValue>) -> PairRelation {
PairRelation {
from: eid(from),
to,
features,
}
}
/// Nibu's relations to Brokkr and to an unnamed party, and Brokkr's to Nibu.
fn scene(group: &str, n: u32, participants: &[&str], relations: Vec<PairRelation>) -> Scene {
Scene {
group: group.into(),
n,
inventory_rev: 3,
participants: participants.iter().map(|p| eid(p)).collect(),
relations,
annotator: Annotator::Operator,
}
}
fn standard(group: &str, n: u32) -> Scene {
scene(
group,
n,
&["nibu", "brokkr"],
vec![
relation("nibu", Party::Named(eid("brokkr")), status()),
relation("nibu", Party::Unnamed, intimacy(7)),
relation("brokkr", Party::Named(eid("nibu")), intimacy(99)),
],
)
}
fn put(w: &mut W, s: Scene) {
w.state
.put_scene(s, &w.inventory, &w.corpus, &w.entities)
.unwrap();
}
/// The line of `item:nibu:1` at `rev`, its addressee node `addressee` (`n1`
/// has no entity, `n3` is Brokkr), through the packet door.
fn view_of(w: &W, rev: u32, addressee: Option<&str>) -> LoweringInput {
view_to(w, rev, addressee, "brokkr")
}
/// As `view_of`, with referent `n3` naming `entity` (Nibu is the item's
/// speaker, so he may be named on the line; Brokkr is named by its text).
fn view_to(w: &W, rev: u32, addressee: Option<&str>, entity: &str) -> LoweringInput {
let mut p: Packet = proof_packet();
p.inventory_rev = rev;
p.referents[2].entity = Some(eid(entity));
p.discourse.addressee = addressee.map(nd);
// A packet key holds its packet for good, so each view gets a fresh store.
let scratch = tempfile::tempdir().unwrap();
PacketStore::open(&scratch.path().join("p.cc"))
.unwrap()
.admit(p, &w.inventory, &w.corpus, &w.entities)
.unwrap()
}
fn rules(r: Result<LoweringInput, StoreError>) -> Vec<&'static str> {
match r.map(|_| ()).unwrap_err() {
StoreError::Invalid(rs) => rs.iter().map(Refusal::rule).collect(),
other => panic!("not a rule refusal: {other}"),
}
}
fn read(w: &W, view: LoweringInput) -> SceneRead {
view.with_scene(&inv(w), &w.state, &w.corpus)
.unwrap()
.scene_read()
.clone()
}
fn selected(rev: u32, features: Vec<FeatureValue>) -> SceneRead {
SceneRead::Selected { rev, features }
}
#[test]
fn a_scene_relation_reaches_the_lowering_view_and_changes_no_english() {
let (store, inv, _dir) = store();
let plain = admitted(&at_rev(3), &store);
let mut w = world();
put(&mut w, standard("g", 1));
let plain = view_of(&w, 3, Some("n3"));
assert_eq!(plain.scene_read(), &SceneRead::Unread);
assert!(plain.scene().is_empty());
let scene = vec![
feat(&status(&inv), FeatValue::Option(lab("above"))),
feat(&id_of(&inv, "intimacy"), FeatValue::Grade(grade(200))),
feat(&id_of(&inv, "in_group"), FeatValue::Flag(false)),
];
let with = plain.clone().with_scene(&inv, scene.clone()).unwrap();
assert_eq!(with.scene(), scene.as_slice());
let root = Path::new(env!("CARGO_MANIFEST_DIR")).join("../..");
let entities = EntityStore::open(&root.join("data/entity/entity.cc")).unwrap();
let with = plain
.clone()
.with_scene(&inv(&w), &w.state, &w.corpus)
.unwrap();
assert_eq!(with.scene(), status().as_slice());
assert_eq!(with.scene_read(), &selected(1, status()));
assert_eq!(
lower(&with, &inv, &entities).unwrap(),
lower(&plain, &inv, &entities).unwrap()
lower(&with, &inv(&w), &w.entities).unwrap(),
lower(&plain, &inv(&w), &w.entities).unwrap()
);
}
#[test]
fn a_relation_needs_an_addressee() {
let (store, inv, _dir) = store();
let mut p = at_rev(3);
p.discourse.addressee = None;
let view = admitted(&p, &store);
let scene = vec![feat(&id_of(&inv, "in_group"), FeatValue::Flag(true))];
assert_eq!(rules(view.clone().with_scene(&inv, scene)), ["V13"]);
assert!(view.with_scene(&inv, vec![]).unwrap().scene().is_empty());
fn with_scene_says_which_of_five_things_it_found() {
let mut w = world();
// No scene for the group.
assert_eq!(read(&w, view_of(&w, 3, Some("n3"))), SceneRead::NoScene);
put(&mut w, standard("g", 1));
// A referent with an entity selects the relation to that entity; a
// referent without one, the relation to an unnamed party; and the
// speaker's relation, never Brokkr's to Nibu.
assert_eq!(read(&w, view_of(&w, 3, Some("n3"))), selected(1, status()));
assert_eq!(
read(&w, view_of(&w, 3, Some("n1"))),
selected(1, intimacy(7))
);
// The scene was read and the packet names no addressee.
assert_eq!(
read(&w, view_of(&w, 3, None)),
SceneRead::NoAddressee { rev: 1 }
);
// The addressee is the speaker.
assert_eq!(
read(&w, view_to(&w, 3, Some("n3"), "nibu")),
SceneRead::SelfAddressed { rev: 1 }
);
// The scene holds no relation to this addressee.
put(
&mut w,
scene(
"g",
2,
&["nibu", "brokkr"],
vec![relation("nibu", Party::Unnamed, intimacy(7))],
),
);
assert_eq!(
read(&w, view_of(&w, 3, Some("n3"))),
SceneRead::NoRelation { rev: 2 }
);
// A relation with no features is found, not absent.
put(
&mut w,
scene(
"g",
3,
&["nibu", "brokkr"],
vec![relation("nibu", Party::Named(eid("brokkr")), vec![])],
),
);
assert_eq!(read(&w, view_of(&w, 3, Some("n3"))), selected(3, vec![]));
}
#[test]
fn a_relation_value_is_checked_like_any_feature() {
let (store, inv, _dir) = store();
let view = admitted(&at_rev(3), &store);
let status = status(&inv);
let intimacy = id_of(&inv, "intimacy");
let take = |scene| view.clone().with_scene(&inv, scene);
// A label the feature does not declare.
assert_eq!(
rules(take(vec![feat(&status, FeatValue::Option(lab("lordly")))])),
["V7"]
fn a_named_addressee_the_scene_lacks_never_falls_back_to_unnamed() {
let mut w = world();
// Brokkr is not a participant and Nibu has only an unnamed relation.
put(
&mut w,
scene(
"g",
1,
&["nibu", "player"],
vec![relation("nibu", Party::Unnamed, intimacy(7))],
),
);
// A value of the wrong kind.
assert_eq!(
rules(take(vec![feat(&intimacy, FeatValue::Flag(true))])),
["V7"]
read(&w, view_of(&w, 3, Some("n3"))),
SceneRead::NoRelation { rev: 1 }
);
// A participant without a relation behaves the same.
put(
&mut w,
scene(
"g",
2,
&["nibu", "brokkr"],
vec![relation("nibu", Party::Unnamed, intimacy(7))],
),
);
// A feature declared for another slot: seed feature 1 sits in Predication.
assert_eq!(
rules(take(vec![feat(
"feature:1",
FeatValue::Option(lab("negative"))
)])),
["V8"]
read(&w, view_of(&w, 3, Some("n3"))),
SceneRead::NoRelation { rev: 2 }
);
// An id that is not a feature at all.
assert_eq!(
rules(take(vec![feat("concept:3", FeatValue::Flag(true))])),
["V6"]
);
// Twice in one list.
let twice = vec![
feat(&intimacy, FeatValue::Grade(grade(1))),
feat(&intimacy, FeatValue::Grade(grade(2))),
];
assert_eq!(rules(take(twice)), ["V11"]);
}
#[test]
fn a_view_of_a_revision_before_the_scene_vocabulary_cannot_carry_one() {
let (store, inv, _dir) = store();
// Revision 2 predates the Scene features, so their ids do not resolve there.
let view = admitted(&at_rev(2), &store);
let scene = vec![feat(&id_of(&inv, "intimacy"), FeatValue::Grade(grade(1)))];
assert_eq!(rules(view.with_scene(&inv, scene)), ["V5"]);
fn the_speaker_is_the_items_not_the_first_participant() {
let mut w = world();
// Brokkr is listed first and has an unnamed relation of his own.
put(
&mut w,
scene(
"g",
1,
&["brokkr", "nibu"],
vec![
relation("brokkr", Party::Unnamed, intimacy(99)),
relation("nibu", Party::Unnamed, intimacy(7)),
],
),
);
assert_eq!(
read(&w, view_of(&w, 3, Some("n1"))),
selected(1, intimacy(7))
);
}
#[test]
fn a_stance_feature_is_not_a_scene_feature() {
let (store, inv, _dir) = store();
let view = admitted(&at_rev(3), &store);
let anger = id_of(&inv, "anger");
fn the_scene_is_the_items_group_and_its_latest_revision() {
let mut w = world();
// Group h holds a different relation for the same pair.
put(
&mut w,
scene(
"h",
1,
&["nibu", "brokkr"],
vec![relation("nibu", Party::Named(eid("brokkr")), intimacy(1))],
),
);
// No scene for the item's group, whatever other groups hold.
assert_eq!(read(&w, view_of(&w, 3, Some("n3"))), SceneRead::NoScene);
// Revisions: the highest n is read.
put(&mut w, standard("g", 1));
let mut second = standard("g", 2);
second.relations[0].features = intimacy(5);
put(&mut w, second);
let got = view_of(&w, 3, Some("n3"))
.with_scene(&inv(&w), &w.state, &w.corpus)
.unwrap();
assert_eq!(got.scene_read(), &selected(2, intimacy(5)));
assert_eq!(got.scene(), intimacy(5).as_slice());
// A read replaces the earlier one: a store without the scene says so.
let empty = SpeakerStateStore::open(&w.dir.path().join("empty.cc")).unwrap();
let cleared = got.with_scene(&inv(&w), &empty, &w.corpus).unwrap();
assert_eq!(cleared.scene_read(), &SceneRead::NoScene);
assert!(cleared.scene().is_empty());
}
#[test]
fn with_scene_refusals() {
let mut w = world();
put(&mut w, standard("g", 1));
// The scene was admitted at revision 3; a view of revision 2 predates the
// Scene features, so the selected relation's ids do not resolve there.
assert_eq!(
rules(view.with_scene(&inv, vec![feat(&anger, FeatValue::Grade(grade(1)))])),
["V8"]
rules(view_of(&w, 2, Some("n3")).with_scene(&inv(&w), &w.state, &w.corpus)),
["V5", "V5", "V5"]
);
// A scene that does not list the item's speaker: group k admitted while
// Brokkr was its only speaker, then an item of Nibu's joins it.
let mut item = item_in("item:brokkr:1", "Hello.", "k", cast());
item.speaker = eid("brokkr");
w.corpus.add(item, &w.entities).unwrap();
put(&mut w, scene("k", 1, &["brokkr"], vec![]));
w.corpus
.add(
item_in("item:nibu:3", "Hello there.", "k", cast()),
&w.entities,
)
.unwrap();
for addressee in [Some("n3"), None] {
let mut p = proof_packet();
p.inventory_rev = 3;
p.provenance.corpus_item = weksa::CorpusItemId::parse("item:nibu:3").unwrap();
p.referents[2].entity = Some(eid("nibu"));
p.discourse.addressee = addressee.map(nd);
let scratch = tempfile::tempdir().unwrap();
let view = PacketStore::open(&scratch.path().join("p.cc"))
.unwrap()
.admit(p, &w.inventory, &w.corpus, &w.entities)
.unwrap();
assert_eq!(
rules(view.with_scene(&inv(&w), &w.state, &w.corpus)),
["V16"],
"{addressee:?}"
);
}
}
#[test]
fn read_refuses_a_scene_that_stopped_covering_a_live_speaker_of_its_group() {
// Group g's scene covers Nibu alone, and Nibu's is the only item: admitted.
let mut w = world();
put(&mut w, scene("g", 1, &["nibu"], vec![]));
assert_eq!(
read(&w, view_of(&w, 3, None)),
SceneRead::NoAddressee { rev: 1 }
);
// Brokkr then speaks in g. The corpus door lets him in; the view of Nibu's
// own line, whose speaker the scene still lists, reads the stale scene no more.
let mut item = item_in("item:brokkr:1", "Hello.", "g", cast());
item.speaker = eid("brokkr");
w.corpus.add(item, &w.entities).unwrap();
assert_eq!(
rules(view_of(&w, 3, None).with_scene(&inv(&w), &w.state, &w.corpus)),
["V16"]
);
// The put door applies the same rule, so the repair is a revision that
// covers him.
put(&mut w, scene("g", 2, &["nibu", "brokkr"], vec![]));
assert_eq!(
read(&w, view_of(&w, 3, None)),
SceneRead::NoAddressee { rev: 2 }
);
}
#[test]
fn only_live_speakers_of_the_views_group_and_the_views_own_speaker_must_be_covered() {
let mut w = world();
put(&mut w, scene("g", 1, &["nibu"], vec![]));
let ok = SceneRead::NoAddressee { rev: 1 };
// A withdrawn speaker the scene lacks does not count.
let mut gone = item_in("item:brokkr:1", "Hello.", "g", cast());
gone.speaker = eid("brokkr");
w.corpus.add(gone, &w.entities).unwrap();
w.corpus.withdraw("item:brokkr:1").unwrap();
assert_eq!(read(&w, view_of(&w, 3, None)), ok);
// Nor does a live speaker the scene lacks in another group.
let mut other = item_in("item:brokkr:2", "Hello you.", "h", cast());
other.speaker = eid("brokkr");
w.corpus.add(other, &w.entities).unwrap();
assert_eq!(read(&w, view_of(&w, 3, None)), ok);
// The view's own speaker must be listed even when its item was withdrawn
// after the view was built: scene g@2 lists Brokkr alone.
let view = view_of(&w, 3, None);
w.corpus.withdraw("item:nibu:1").unwrap();
put(&mut w, scene("g", 2, &["brokkr"], vec![]));
assert_eq!(
rules(view.with_scene(&inv(&w), &w.state, &w.corpus)),
["V16"]
);
}
mod select {
use super::*;
use weksa::speaker::Annotator;
use weksa::{Condition, Layer, OntologyEntry, OntologyStore, Slot, Test, select};
fn scene_feature(gloss: &str) -> weksa::InvId {
speaker_scene_revision(3).1.into_iter().find(|e| e.gloss == gloss).unwrap().id
}
fn entry(n: u32, slot: Slot, gloss: &str, test: Test) -> OntologyEntry {
OntologyEntry {
language: "ja-JP".into(),
n,
inventory_rev: 3,
layer: Layer::Grammar,
when: vec![Condition { slot, feature: scene_feature(gloss), test }],
choice: "a choice".into(),
examples: vec![],
annotator: Annotator::Operator,
}
}
#[test]
fn select_reads_the_scene_relation() {
let mut w = world();
put(&mut w, standard("g", 1));
let mut store = OntologyStore::open(&w.dir.path().join("o.cc")).unwrap();
store
.admit(
vec![
entry(1, Slot::Scene, "relative_status", Test::Is(FeatValue::Option(lab("above")))),
entry(2, Slot::Scene, "intimacy", Test::AtLeast(grade(150))),
],
&w.inventory,
)
.unwrap();
let ontology = store.ontology().unwrap();
let keys = |read: SceneRead, w: &W| {
let view = view_of(w, 3, Some("n3")).with_scene(&inv(w), &w.state, &w.corpus).unwrap();
assert_eq!(view.scene_read(), &read);
select(&ontology, "ja-JP", &view).iter().map(|e| e.n).collect::<Vec<_>>()
};
// Brokkr is above-status at intimacy 200: both Scene entries select.
assert_eq!(keys(selected(1, status()), &w), [1, 2]);
// No scene for the group: neither selects.
let empty = world();
assert_eq!(keys(SceneRead::NoScene, &empty), Vec::<u32>::new());
// No addressee, and no relation to the addressee: neither selects.
let view = view_of(&w, 3, None).with_scene(&inv(&w), &w.state, &w.corpus).unwrap();
assert_eq!(view.scene_read(), &SceneRead::NoAddressee { rev: 1 });
assert!(select(&ontology, "ja-JP", &view).is_empty());
let mut lone = world();
put(&mut lone, scene("g", 1, &["nibu", "brokkr"], vec![relation("brokkr", Party::Named(eid("nibu")), intimacy(99))]));
assert_eq!(keys(SceneRead::NoRelation { rev: 1 }, &lone), Vec::<u32>::new());
}
}

View file

@ -6,7 +6,7 @@ use std::net::TcpListener;
use std::sync::{Arc, Mutex};
use anyhow::Result;
use common::{cast, group_in_bucket, item_in, model};
use common::{Bag, cast, group_in_bucket, item_in, model};
use serde_json::Value;
use weksa::CorpusItem;
use weksa::score::{
@ -45,8 +45,8 @@ fn chrf_matches_sacrebleu_vectors() {
#[test]
fn chrf_argument_order() {
let short = "mind the hatch";
let long = "mind the hatch before the storm arrives tonight";
let short = "shut the gate";
let long = "shut the gate before the storm arrives tonight";
let (as_hypothesis, as_reference) = (chrf(short, long), chrf(long, short));
assert!(
as_hypothesis < as_reference - 1.0,
@ -71,28 +71,6 @@ impl Embedder for Recorder {
}
}
/// A deterministic bag-of-letters embedder, so cosine differs with the text.
struct Bag;
impl Embedder for Bag {
fn model(&self) -> &str {
"bag"
}
fn embed(&self, texts: &[&str]) -> Result<Vec<Vec<f32>>> {
Ok(texts
.iter()
.map(|t| {
let mut v = vec![0.0; 27];
v[26] = 1.0;
for c in t.chars().filter(char::is_ascii_alphabetic) {
v[(c.to_ascii_lowercase() as u8 - b'a') as usize] += 1.0;
}
v
})
.collect())
}
}
fn score_one<E: Embedder>(scorer: &Scorer<E>, reference: &str, output: &str) -> ItemScore {
scorer
.score(&[ScoreInput { reference, output }])
@ -126,8 +104,8 @@ fn chrf_whitespace_parity() {
#[test]
fn scorer_argument_order() {
let short = "mind the hatch";
let long = "mind the hatch before the storm arrives tonight";
let short = "shut the gate";
let long = "shut the gate before the storm arrives tonight";
let scorer = Scorer::new(Bag);
let got = score_one(&scorer, long, short);
assert_eq!(got.chrf, chrf(short, long));
@ -178,7 +156,7 @@ impl Embedder for Fixed {
fn scorer_refuses_bad_vectors() {
let run = |vectors: Vec<Vec<f32>>| {
Scorer::new(Fixed(vectors)).score(&[ScoreInput {
reference: "mind the hatch",
reference: "shut the gate",
output: "mind the door",
}])
};
@ -353,12 +331,6 @@ fn aggregate_by_derived_split() {
assert_eq!(agg.train.chrf, Some(15.0));
assert_eq!(agg.train.meaning, Some(0.5), "None is not averaged as zero");
assert_eq!((agg.validation.count, agg.validation.chrf), (1, Some(40.0)));
assert_eq!((agg.test.count, agg.test.chrf), (1, Some(60.0)));
assert_eq!(
agg.test.meaning,
Some(0.6),
"the model-written test item is in no split"
);
assert_eq!(aggregate(&[]).validation.chrf, None);
}
@ -385,7 +357,6 @@ fn train(key: &str, text: &str) -> CorpusItem {
/// (novel, covered) per order for the Validation split.
fn read(minted: &[&str], items: &[CorpusItem]) -> Vec<(usize, usize)> {
leak_diagnostic(minted, items)
.validation
.coverage_by_n
.iter()
.map(|c| (c.novel, c.covered))
@ -414,7 +385,7 @@ fn leak_diagnostic_catches_chunked_glosses() {
test_model,
],
);
let pair = d.validation.max_chrf.as_ref().unwrap();
let pair = d.max_chrf.as_ref().unwrap();
assert!(
pair.chrf < 50.0,
"each chunk alone scores low: {}",
@ -426,24 +397,21 @@ fn leak_diagnostic_catches_chunked_glosses() {
read(&minted, &[held.clone(), unrelated, train_item.clone()]),
[(16, 12), (14, 8), (12, 4)]
);
let worst = d.validation.worst.as_ref().unwrap();
let worst = d.worst.as_ref().unwrap();
assert_eq!(
(worst.item.as_str(), worst.n, worst.covered, worst.novel),
("item:v:1", 2, 8, 11)
);
assert_eq!(d.validation.items, 2);
assert_eq!(d.test.items, 0, "a model-written test item is in no split");
assert_eq!(d.test.max_chrf, None);
assert_eq!(d.test.worst, None);
assert_eq!(d.items, 2);
let only_train = leak_diagnostic(&minted, &[train_item]);
assert_eq!(only_train.validation.items, 0);
assert_eq!(only_train.validation.max_chrf, None);
assert_eq!(only_train.validation.worst, None);
assert_eq!(only_train.items, 0);
assert_eq!(only_train.max_chrf, None);
assert_eq!(only_train.worst, None);
let full = leak_diagnostic(&[HELD_OUT], &[held]);
assert_eq!(full.validation.coverage_by_n[2].share, Some(1.0));
assert!(full.validation.max_chrf.unwrap().chrf > 99.0);
assert_eq!(full.coverage_by_n[2].share, Some(1.0));
assert!(full.max_chrf.unwrap().chrf > 99.0);
}
#[test]
@ -485,9 +453,9 @@ fn coverage_reads_joined_labels() {
"kick the bucket",
] {
let d = leak_diagnostic(&[label], &items);
let by_n = &d.validation.coverage_by_n;
let by_n = &d.coverage_by_n;
assert_eq!((by_n[2].novel, by_n[2].covered), (3, 1), "{label}");
let worst = d.validation.worst.unwrap();
let worst = d.worst.unwrap();
assert_eq!((worst.n, worst.covered), (2, 2), "{label}");
}
}
@ -520,7 +488,7 @@ fn coverage_pooled_per_order() {
"left", "group", "found", "place", "storm", "after", "warn", "leave", "harbor",
];
let d = leak_diagnostic(&glosses, &items);
let by_n = &d.validation.coverage_by_n;
let by_n = &d.coverage_by_n;
assert_eq!(by_n.iter().map(|c| c.n).collect::<Vec<_>>(), [1, 2, 3]);
assert_eq!((by_n[0].novel, by_n[0].covered), (6, 5));
assert!(by_n[0].share.unwrap() < 1.0);
@ -528,7 +496,7 @@ fn coverage_pooled_per_order() {
assert!(c.novel > 0);
assert_eq!((c.covered, c.share), (0, Some(0.0)));
}
assert_eq!(d.validation.worst, None);
assert_eq!(d.worst, None);
// no novel n-gram reads None, never NaN; an empty split reads the same
let items = [
@ -536,16 +504,13 @@ fn coverage_pooled_per_order() {
validation("item:v:1", "harbors guard the quiet"),
];
let d = leak_diagnostic(&["anything at all"], &items);
for split in [&d.validation, &d.test] {
assert_eq!(split.coverage_by_n.len(), 3);
assert!(
split
.coverage_by_n
.iter()
.all(|c| (c.novel, c.share) == (0, None))
);
assert_eq!(split.worst, None);
}
assert_eq!(d.coverage_by_n.len(), 3);
assert!(
d.coverage_by_n
.iter()
.all(|c| (c.novel, c.share) == (0, None))
);
assert_eq!(d.worst, None);
}
#[test]
@ -569,7 +534,6 @@ fn worst_item_rules() {
validation("item:v:2", "delta epsilon"),
];
let w = leak_diagnostic(&["alpha beta", "delta epsilon"], &items)
.validation
.worst
.unwrap();
assert_eq!(
@ -582,7 +546,6 @@ fn worst_item_rules() {
validation("item:v:2", "alpha beta gamma"),
];
let w = leak_diagnostic(&["alpha beta", "delta epsilon"], &items)
.validation
.worst
.unwrap();
assert_eq!(w.item, "item:v:1");
@ -592,7 +555,6 @@ fn worst_item_rules() {
validation("item:v:2", "alpha beta gamma delta"),
];
let w = leak_diagnostic(&["alpha beta gamma", "delta epsilon"], &items)
.validation
.worst
.unwrap();
assert_eq!((w.item.as_str(), w.covered, w.novel), ("item:v:2", 2, 3));
@ -601,17 +563,13 @@ fn worst_item_rules() {
validation("item:v:1", "delta epsilon"),
validation("item:v:2", "delta epsilon"),
];
let w = leak_diagnostic(&["delta epsilon"], &items)
.validation
.worst
.unwrap();
let w = leak_diagnostic(&["delta epsilon"], &items).worst.unwrap();
assert_eq!(w.item, "item:v:1");
let items = [
validation("item:v:1", "alpha beta gamma"),
train("item:t:1", "alpha beta"),
];
let w = leak_diagnostic(&["alpha beta gamma"], &items)
.validation
.worst
.unwrap();
assert_eq!((w.n, w.covered, w.novel), (2, 1, 1));
@ -631,7 +589,7 @@ fn leak_diagnostic_reports_the_best_pair_and_the_first_of_ties() {
let b = validation("item:v:2", HELD_OUT);
// the better minted string comes second; equal items tie, the first is kept
let d = leak_diagnostic(&["zzzzzz qqqqqq", HELD_OUT], &[a, b]);
let pair = d.validation.max_chrf.unwrap();
let pair = d.max_chrf.unwrap();
assert_eq!(
(pair.minted.as_str(), pair.item.as_str()),
(HELD_OUT, "item:v:1")
@ -713,16 +671,16 @@ fn every_script_scores_a_near_miss_as_sacrebleu_does() {
#[test]
fn coverage_splits_at_any_non_word_character() {
let items = [
validation("item:v:1", "mind the hatch before the storm"),
validation("item:v:1", "shut the gate before the storm"),
train("item:t:1", UNRELATED),
];
let want = read(&["mind the hatch"], &items);
let want = read(&["shut the gate"], &items);
assert_eq!(want, [(5, 3), (5, 2), (4, 1)]);
for joiner in [
":", "\u{b7}", "'", "\u{2019}", "\u{ff3f}", "-", "/", "\u{2014}", "|", "+", "\u{ff1a}",
"\u{30fb}",
] {
let glued = format!("mind{joiner}the{joiner}hatch");
let glued = format!("shut{joiner}the{joiner}gate");
assert_eq!(read(&[&glued], &items), want, "{joiner:?}");
}
// a mark, a joiner or a digit is part of its word, not a break
@ -842,3 +800,77 @@ fn an_unspaced_script_ends_a_word_beside_any_other_script() {
assert_eq!(read(&["\u{4e00}\u{301}\u{200d}", "ab"], &items)[0], (2, 2));
assert_eq!(read(&["\u{4e00}"], &items)[0], (2, 0));
}
#[test]
fn round_path_reads_no_test() {
let train = item_in("item:a:1", "t", &group_in_bucket(10), cast());
let validation = item_in("item:b:1", "v", &group_in_bucket(50), cast());
let mut withdrawn = item_in("item:b:2", "w", &group_in_bucket(50), cast());
withdrawn.withdrawn = true;
let test = item_in("item:c:1", "x", &group_in_bucket(90), cast());
let test_two = item_in("item:c:2", "y", &group_in_bucket(90), cast());
let reading = |test_score: f64, extra: bool| {
let mut scored = vec![
(&train, score(10.0, Some(0.5))),
(&validation, score(40.0, Some(0.8))),
(&withdrawn, score(99.0, Some(0.99))),
(&test, score(test_score, Some(0.1))),
];
if extra {
scored.push((&test_two, score(100.0, Some(1.0))));
}
aggregate(&scored)
};
let base = reading(60.0, false);
assert_eq!(
(base.validation.count, base.validation.chrf),
(1, Some(40.0))
);
assert_eq!(base.validation.meaning, Some(0.8));
assert_eq!((base.train.count, base.train.chrf), (1, Some(10.0)));
assert_eq!(reading(5.0, false), base, "a Test score moves nothing");
assert_eq!(reading(5.0, true), base, "a Test item adds nothing");
}
#[test]
fn leak_diagnostic_reads_validation_only() {
let test = item_in("item:t:9", HELD_OUT, &group_in_bucket(90), cast());
let val = validation("item:v:1", "gardening is quiet work");
let mut gone = validation("item:v:2", HELD_OUT);
gone.withdrawn = true;
let train_item = train("item:t:1", UNRELATED);
let items = [test, val.clone(), gone, train_item.clone()];
let d = leak_diagnostic(&[HELD_OUT], &items);
assert_eq!(d.items, 1, "Validation only, withdrawn dropped");
assert_ne!(d.max_chrf.as_ref().unwrap().item, "item:t:9");
assert_eq!(d.max_chrf.as_ref().unwrap().item, "item:v:1");
assert!(d.max_chrf.as_ref().unwrap().chrf < 50.0);
assert_eq!(d.worst, None);
let without_test = leak_diagnostic(&[HELD_OUT], &[val.clone(), train_item.clone()]);
assert_eq!(d, without_test, "removing the Test item changes nothing");
let on_validation = leak_diagnostic(&["gardening is quiet work"], &items);
assert!(on_validation.max_chrf.unwrap().chrf > 99.0);
}
#[test]
fn held_out_train_union_excludes_withdrawn_train_items() {
let mut gone = train("item:t:1", HELD_OUT);
gone.withdrawn = true;
let held = validation("item:v:1", HELD_OUT);
let d = leak_diagnostic(
&[HELD_OUT],
&[gone, held.clone(), train("item:t:2", UNRELATED)],
);
assert_eq!(
d.coverage_by_n
.iter()
.map(|c| (c.novel, c.covered))
.collect::<Vec<_>>(),
[(12, 12), (11, 11), (10, 10)],
"a withdrawn Train text makes no n-gram known"
);
let live = leak_diagnostic(&[HELD_OUT], &[train("item:t:1", HELD_OUT), held]);
assert_eq!(live.coverage_by_n[0].novel, 0, "a live Train text does");
}

View file

@ -0,0 +1,503 @@
//! The speaker-state store: speaker and scene documents are append-only
//! revisions, checked against the inventory, the entity store and the corpus.
mod common;
use common::{cast, eid, entities_in, grade, item_in, lab};
use weksa::inventory::{proof_revision, seed, speaker_scene_revision};
use weksa::packet::{FeatValue, FeatureValue};
use weksa::speaker::{
Annotator, MAX_PARTICIPANTS, PairRelation, Party, Scene, Speaker, scene_key, speaker_key,
};
use weksa::{
AddOutcome, CorpusStore, EntityStore, InventoryStore, Refusal, SpeakerStateStore, StoreError,
StoreRefusal,
};
struct W {
dir: tempfile::TempDir,
inventory: InventoryStore,
corpus: CorpusStore,
entities: EntityStore,
state: SpeakerStateStore,
}
/// Group `g` holds two live items (speakers nibu and brokkr) and one withdrawn
/// item (speaker hero); group `g2` holds one live item of nibu's.
fn world() -> W {
let dir = tempfile::tempdir().unwrap();
let mut inventory = InventoryStore::open(&dir.path().join("i.cc")).unwrap();
for (rev, entries) in [seed(), proof_revision(), speaker_scene_revision(3)] {
inventory.admit_revision(rev, entries).unwrap();
}
let entities = entities_in(dir.path());
let mut corpus = CorpusStore::open(&dir.path().join("c.cc")).unwrap();
for (key, text, speaker) in [
("item:nibu:1", "Come here.", "nibu"),
("item:nibu:2", "Go there.", "brokkr"),
("item:nibu:3", "Stay away.", "hero"),
("item:nibu:4", "Elsewhere.", "g2"),
] {
let mut item = item_in(key, text, "g", cast());
item.speaker = eid(speaker);
if key == "item:nibu:4" {
item.group = "g2".into();
item.speaker = eid("nibu");
}
corpus.add(item, &entities).unwrap();
}
corpus.withdraw("item:nibu:3").unwrap();
let state = SpeakerStateStore::open(&dir.path().join("s.cc")).unwrap();
W {
dir,
inventory,
corpus,
entities,
state,
}
}
fn feat(gloss: &str, value: FeatValue) -> FeatureValue {
let feature = seed()
.1
.into_iter()
.chain(speaker_scene_revision(3).1)
.find(|e| e.gloss == gloss)
.unwrap_or_else(|| panic!("no feature {gloss}"))
.id;
FeatureValue { feature, value }
}
fn speaker(n: u32, age: &str) -> Speaker {
Speaker {
entity: eid("nibu"),
n,
inventory_rev: 3,
features: vec![feat("age_cohort", FeatValue::Option(lab(age)))],
annotator: Annotator::Operator,
}
}
fn scene(n: u32, intimacy: u16) -> Scene {
Scene {
group: "g".into(),
n,
inventory_rev: 3,
participants: vec![eid("nibu"), eid("brokkr")],
relations: vec![PairRelation {
from: eid("nibu"),
to: Party::Named(eid("brokkr")),
features: vec![feat("intimacy", FeatValue::Grade(grade(intimacy)))],
}],
annotator: Annotator::Operator,
}
}
fn put_speaker(w: &mut W, s: Speaker) -> Result<AddOutcome, StoreError> {
w.state.put_speaker(s, &w.inventory, &w.entities)
}
fn put_scene(w: &mut W, s: Scene) -> Result<AddOutcome, StoreError> {
w.state.put_scene(s, &w.inventory, &w.corpus, &w.entities)
}
fn refused<T: std::fmt::Debug>(r: Result<T, StoreError>) -> StoreRefusal {
match r.unwrap_err() {
StoreError::Refused(r) => r,
other => panic!("not a store refusal: {other}"),
}
}
fn malformed(r: Result<AddOutcome, StoreError>, key: &str, why: &str) {
match refused(r) {
StoreRefusal::Malformed { key: k, why: w } => assert_eq!((k.as_str(), w), (key, why)),
other => panic!("not Malformed: {other:?}"),
}
}
fn rules(r: Result<AddOutcome, StoreError>) -> Vec<&'static str> {
match r.unwrap_err() {
StoreError::Invalid(rs) => rs.iter().map(Refusal::rule).collect(),
other => panic!("not a rule refusal: {other}"),
}
}
fn not_next(key: &str, expected: u32, got: u32) -> StoreRefusal {
StoreRefusal::RevisionNotNext {
key: key.into(),
expected,
got,
}
}
#[test]
fn keys_derive_from_the_document() {
assert_eq!(speaker_key(&eid("nibu"), 2), "speaker:nibu@2");
assert_eq!(scene_key("g", 3), "scene:g@3");
}
#[test]
fn speaker_revisions_append() {
let mut w = world();
let key = |n| speaker_key(&eid("nibu"), n);
assert_eq!(
refused(put_speaker(&mut w, speaker(2, "adult"))),
not_next(&key(2), 1, 2)
);
assert!(w.state.speaker(&eid("nibu")).unwrap().is_none());
assert_eq!(
put_speaker(&mut w, speaker(1, "adult")).unwrap(),
AddOutcome::Added
);
assert_eq!(
put_speaker(&mut w, speaker(1, "adult")).unwrap(),
AddOutcome::Unchanged
);
assert_eq!(
refused(put_speaker(&mut w, speaker(1, "elder"))),
not_next(&key(1), 2, 1)
);
assert_eq!(
refused(put_speaker(&mut w, speaker(3, "elder"))),
not_next(&key(3), 2, 3)
);
assert_eq!(
put_speaker(&mut w, speaker(2, "elder")).unwrap(),
AddOutcome::Added
);
assert_eq!(
w.state.speaker(&eid("nibu")).unwrap(),
Some(speaker(2, "elder"))
);
assert_eq!(
w.state.get_speaker(&key(1)).unwrap(),
Some(speaker(1, "adult"))
);
// Another entity's revisions count from 1 and stay apart.
let mut other = speaker(1, "child");
other.entity = eid("brokkr");
assert_eq!(put_speaker(&mut w, other).unwrap(), AddOutcome::Added);
assert_eq!(w.state.speaker(&eid("nibu")).unwrap().unwrap().n, 2);
// Revision 10 sorts after 2 in the listing.
for n in 3..=10 {
put_speaker(&mut w, speaker(n, "adult")).unwrap();
}
let listed: Vec<_> = w
.state
.all_speakers()
.unwrap()
.iter()
.map(|s| (s.entity.to_string(), s.n))
.collect();
assert_eq!(listed.len(), 11);
assert_eq!(listed[0], ("entity:brokkr".into(), 1));
assert_eq!(listed[10], ("entity:nibu".into(), 10));
assert_eq!(w.state.speaker(&eid("nibu")).unwrap().unwrap().n, 10);
// The documents survive a reopen.
let again = SpeakerStateStore::open(&w.dir.path().join("s.cc")).unwrap();
assert_eq!(again.all_speakers().unwrap().len(), 11);
}
#[test]
fn scene_revisions_append() {
let mut w = world();
let key = |n| scene_key("g", n);
assert_eq!(
refused(put_scene(&mut w, scene(2, 5))),
not_next(&key(2), 1, 2)
);
assert!(w.state.scene("g").unwrap().is_none());
assert_eq!(put_scene(&mut w, scene(1, 5)).unwrap(), AddOutcome::Added);
assert_eq!(
put_scene(&mut w, scene(1, 5)).unwrap(),
AddOutcome::Unchanged
);
assert_eq!(
refused(put_scene(&mut w, scene(1, 6))),
not_next(&key(1), 2, 1)
);
assert_eq!(put_scene(&mut w, scene(2, 6)).unwrap(), AddOutcome::Added);
assert_eq!(w.state.scene("g").unwrap(), Some(scene(2, 6)));
assert_eq!(w.state.get_scene(&key(1)).unwrap(), Some(scene(1, 5)));
for n in 3..=10 {
put_scene(&mut w, scene(n, 6)).unwrap();
}
assert_eq!(w.state.scene("g").unwrap().unwrap().n, 10);
let listed: Vec<u32> = w.state.all_scenes().unwrap().iter().map(|s| s.n).collect();
assert_eq!(listed, (1..=10).collect::<Vec<_>>());
// Numbering is per group: the first scene of another group is revision 1
// whatever g holds, and its second is 2.
let other = |n| Scene {
group: "g2".into(),
participants: vec![eid("nibu")],
relations: vec![],
..scene(n, 1)
};
assert_eq!(
refused(put_scene(&mut w, other(2))),
not_next(&scene_key("g2", 2), 1, 2)
);
assert_eq!(put_scene(&mut w, other(1)).unwrap(), AddOutcome::Added);
assert_eq!(
refused(put_scene(&mut w, other(3))),
not_next(&scene_key("g2", 3), 2, 3)
);
assert_eq!(put_scene(&mut w, other(2)).unwrap(), AddOutcome::Added);
assert_eq!(w.state.scene("g2").unwrap().unwrap().n, 2);
assert_eq!(w.state.scene("g").unwrap().unwrap().n, 10);
}
#[test]
fn speaker_needs_a_known_entity() {
let mut w = world();
let mut s = speaker(1, "adult");
s.entity = eid("nobody");
assert_eq!(
refused(put_speaker(&mut w, s)),
StoreRefusal::UnknownEntity {
entity: eid("nobody")
}
);
assert!(w.state.all_speakers().unwrap().is_empty());
}
#[test]
fn annotation_features_are_checked_like_packet_features() {
let mut w = world();
let age = || feat("age_cohort", FeatValue::Option(lab("adult")));
let with = |features: Vec<FeatureValue>, rev| Speaker {
features,
inventory_rev: rev,
..speaker(1, "adult")
};
// A Scene feature and a Stance feature do not apply to a speaker.
let f = vec![feat("intimacy", FeatValue::Grade(grade(1)))];
assert_eq!(rules(put_speaker(&mut w, with(f, 3))), ["V8"]);
let f = vec![feat("anger", FeatValue::Grade(grade(1)))];
assert_eq!(rules(put_speaker(&mut w, with(f, 3))), ["V8"]);
// A wrong kind and an undeclared label.
let f = vec![feat("education", FeatValue::Flag(true))];
assert_eq!(rules(put_speaker(&mut w, with(f, 3))), ["V7"]);
let f = vec![feat("age_cohort", FeatValue::Option(lab("ancient")))];
assert_eq!(rules(put_speaker(&mut w, with(f, 3))), ["V7"]);
// Feature 22 does not exist at revision 2; revision 9 has no record.
assert_eq!(rules(put_speaker(&mut w, with(vec![age()], 2))), ["V5"]);
assert_eq!(rules(put_speaker(&mut w, with(vec![age()], 9))), ["V10"]);
// A repeat.
assert_eq!(
rules(put_speaker(&mut w, with(vec![age(), age()], 3))),
["V11"]
);
// A Speaker feature in a scene relation.
let mut s = scene(1, 1);
s.relations[0].features = vec![age()];
assert_eq!(rules(put_scene(&mut w, s)), ["V8"]);
// Every relation is checked, and a scene of an unknown revision is V10.
let mut s = scene(1, 1);
s.relations.push(PairRelation {
from: eid("brokkr"),
to: Party::Unnamed,
features: vec![age()],
});
assert_eq!(rules(put_scene(&mut w, s)), ["V8"]);
let mut s = scene(1, 1);
s.inventory_rev = 9;
assert_eq!(rules(put_scene(&mut w, s)), ["V10"]);
let mut s = scene(1, 1);
s.inventory_rev = 9;
s.relations.clear();
assert_eq!(rules(put_scene(&mut w, s)), ["V10"]);
assert!(w.state.all_speakers().unwrap().is_empty());
assert!(w.state.all_scenes().unwrap().is_empty());
}
#[test]
fn scene_shape_rules() {
let mut w = world();
let key = scene_key("g", 1);
let relation = |from: &str, to: Party| PairRelation {
from: eid(from),
to,
features: vec![],
};
let named = |to: &str| Party::Named(eid(to));
let base = || scene(1, 1);
let mut s = base();
s.group = "Not A Slug".into();
malformed(
put_scene(&mut w, s),
&scene_key("Not A Slug", 1),
"a scene group is a slug",
);
let mut s = base();
s.group = "elsewhere".into();
malformed(
put_scene(&mut w, s),
&scene_key("elsewhere", 1),
"no corpus item holds the scene's group",
);
let mut s = base();
s.participants.clear();
s.relations.clear();
malformed(
put_scene(&mut w, s),
&key,
"a scene has 1 to 64 participants",
);
// 64 participants are fine as far as the count goes (the rest fail later);
// 65 are refused for the count.
let many = |count: usize| -> Vec<_> { (0..count).map(|i| eid(&format!("p{i}"))).collect() };
let mut s = base();
s.participants = many(MAX_PARTICIPANTS + 1);
s.relations.clear();
malformed(
put_scene(&mut w, s),
&key,
"a scene has 1 to 64 participants",
);
let mut s = base();
s.participants = many(MAX_PARTICIPANTS);
s.relations.clear();
assert!(matches!(
refused(put_scene(&mut w, s)),
StoreRefusal::UnknownEntity { .. }
));
let mut s = base();
s.participants.push(eid("nibu"));
malformed(put_scene(&mut w, s), &key, "a participant is named once");
let mut s = base();
s.participants.push(eid("nobody"));
assert_eq!(
refused(put_scene(&mut w, s)),
StoreRefusal::UnknownEntity {
entity: eid("nobody")
}
);
let mut s = base();
s.relations = vec![relation("hero", named("nibu"))];
malformed(
put_scene(&mut w, s),
&key,
"a relation's from is a participant",
);
let mut s = base();
s.relations = vec![relation("nibu", named("hero"))];
malformed(
put_scene(&mut w, s),
&key,
"a relation's named to is another participant",
);
let mut s = base();
s.relations = vec![relation("nibu", named("nibu"))];
malformed(
put_scene(&mut w, s),
&key,
"a relation's named to is another participant",
);
let mut s = base();
s.relations = vec![
relation("nibu", named("brokkr")),
relation("nibu", named("brokkr")),
];
malformed(
put_scene(&mut w, s),
&key,
"an ordered pair has one relation",
);
let mut s = base();
s.relations = vec![
relation("nibu", Party::Unnamed),
relation("nibu", Party::Unnamed),
];
malformed(
put_scene(&mut w, s),
&key,
"an ordered pair has one relation",
);
// The reverse pair, and an unnamed party beside a named one, are distinct.
let mut s = base();
s.relations = vec![
relation("nibu", named("brokkr")),
relation("brokkr", named("nibu")),
relation("nibu", Party::Unnamed),
];
assert_eq!(put_scene(&mut w, s).unwrap(), AddOutcome::Added);
}
#[test]
fn a_scene_holds_every_live_speaker_of_its_group() {
let mut w = world();
// Brokkr speaks a live item of the group.
let mut s = scene(1, 1);
s.participants = vec![eid("nibu")];
s.relations.clear();
assert_eq!(
refused(put_scene(&mut w, s)),
StoreRefusal::SceneSpeakerMissing {
group: "g".into(),
entity: eid("brokkr")
}
);
// Hero speaks only a withdrawn item, so the scene may omit them.
assert_eq!(put_scene(&mut w, scene(1, 1)).unwrap(), AddOutcome::Added);
// The group is held by a withdrawn item alone: still a group.
w.corpus.withdraw("item:nibu:1").unwrap();
w.corpus.withdraw("item:nibu:2").unwrap();
let mut s = scene(2, 1);
s.participants = vec![eid("player")];
s.relations.clear();
assert_eq!(put_scene(&mut w, s).unwrap(), AddOutcome::Added);
}
#[test]
fn model_annotator_attests_its_generator() {
let mut w = world();
let model = |generator: &str| Annotator::Model {
family: weksa::corpus::ModelFamily::Anthropic,
generator: generator.into(),
};
let key = speaker_key(&eid("nibu"), 1);
for bad in ["", " ", "gen\u{7}erator", "gen\nerator", "\u{200d}"] {
let mut s = speaker(1, "adult");
s.annotator = model(bad);
malformed(
put_speaker(&mut w, s),
&key,
"a model annotator attests its generator",
);
let mut s = scene(1, 1);
s.annotator = model(bad);
malformed(
put_scene(&mut w, s),
&scene_key("g", 1),
"a model annotator attests its generator",
);
}
let mut s = speaker(1, "adult");
s.annotator = model(&"x".repeat(201));
malformed(
put_speaker(&mut w, s),
&key,
"a model annotator attests its generator",
);
let mut s = speaker(1, "adult");
s.annotator = model("claude-sonnet 5.5");
assert_eq!(put_speaker(&mut w, s).unwrap(), AddOutcome::Added);
let mut s = scene(1, 1);
s.annotator = model("claude-sonnet 5.5");
assert_eq!(put_scene(&mut w, s).unwrap(), AddOutcome::Added);
let mut s = speaker(2, "adult");
s.annotator = Annotator::Operator;
assert_eq!(put_speaker(&mut w, s).unwrap(), AddOutcome::Added);
}
#[test]
fn refusal_displays_print_numbers_and_no_identifiers() {
let r = not_next("speaker:secretname@2", 1, 2);
assert_eq!(r.to_string(), "RevisionNotNext expected 1 got 2");
let r = StoreRefusal::SceneSpeakerMissing {
group: "secretgroup".into(),
entity: eid("secretname"),
};
assert_eq!(r.to_string(), "SceneSpeakerMissing");
}

View file

@ -9,6 +9,7 @@ fn item(group: &str, source: Source) -> CorpusItem {
language: "en-US".into(),
speaker: weksa::EntityId::parse("entity:s").unwrap(),
names: vec![],
names_by: None,
group: group.into(),
prior_turns: vec![],
source,
@ -134,6 +135,12 @@ fn published_schemas_match() {
let published = weksa::schema::published();
let mut names: Vec<String> = published.iter().map(|(n, _)| n.clone()).collect();
names.sort();
for loop_type in ["run", "round", "decision"] {
assert!(
names.contains(&format!("weksa.loop_{loop_type}.schema.json")),
"{loop_type}"
);
}
let mut on_disk: Vec<String> = std::fs::read_dir(&dir)
.unwrap()
.map(|e| e.unwrap().file_name().into_string().unwrap())
@ -151,3 +158,32 @@ fn published_schemas_match() {
assert_eq!(held, json, "{name} drifted; run `weksa schema`");
}
}
#[test]
fn live_is_the_split_of_an_item_that_is_not_withdrawn() {
for (bucket, want) in [
(10, Split::Train),
(50, Split::Validation),
(90, Split::Test),
] {
let group = group_in_bucket(bucket);
let live = item(&group, cast());
assert_eq!(SplitScheme::V1.live(&live), Some(want));
let mut gone = live.clone();
gone.withdrawn = true;
assert_eq!(
SplitScheme::V1.live(&gone),
None,
"withdrawn: no live split"
);
assert_eq!(
SplitScheme::V1.split(&gone),
Some(want),
"split still names the group's split"
);
}
let mut model_test = item(&group_in_bucket(90), model());
assert_eq!(SplitScheme::V1.live(&model_test), None);
model_test.withdrawn = true;
assert_eq!(SplitScheme::V1.live(&model_test), None);
}

View file

@ -336,6 +336,210 @@ fn s6_reads_text_under_compatibility_case_folding() {
.unwrap();
}
#[test]
fn s6_folds_dotless_i_kana_and_arabic_indic_digits() {
let d = dir();
let mut store = CorpusStore::open(&d.path().join("c.cc")).unwrap();
// Turkish dotless and dotted capital i read as i; hiragana and katakana
// (small, voiced, iteration marks, halfwidth through NFKC) read as one
// syllabary; Arabic-Indic and Extended Arabic-Indic digits read as 0-9.
let pairs = [
("isi", "\u{131}s\u{131}"),
("istanbul", "\u{130}stanbul"),
(
"\u{3072}\u{3089}\u{304c}\u{306a}",
"\u{30d2}\u{30e9}\u{30ac}\u{30ca}",
),
("\u{3041}\u{3083}", "\u{30a1}\u{30e3}"),
("\u{3042}\u{309d}\u{309e}", "\u{3042}\u{30fd}\u{30fe}"),
("\u{306d}\u{3053}", "\u{ff88}\u{ff7a}"),
(
"room 1234567890",
"room \u{661}\u{662}\u{663}\u{664}\u{665}\u{666}\u{667}\u{668}\u{669}\u{660}",
),
("gate 45", "gate \u{6f4}\u{6f5}"),
("\u{3096}", "\u{30f6}"),
// Voiced wa, wi, we, wo: katakana U+30F7-30FA read as the hiragana
// plus the combining voiced mark.
("\u{308f}\u{3099}", "\u{30f7}"),
("\u{3090}\u{3099}", "\u{30f8}"),
("\u{3091}\u{3099}", "\u{30f9}"),
("\u{3092}\u{3099}", "\u{30fa}"),
// Dotted capital I and i plus a combining dot above
// read alike (plain ix collides with both, below).
("\u{130}x", "i\u{307}x"),
];
for (n, (a, b)) in pairs.into_iter().enumerate() {
let (first, second) = (
format!("item:fold:{}", 2 * n + 1),
format!("item:fold:{}", 2 * n + 2),
);
store.add(item(&first, a), &ents(&d)).unwrap();
assert_eq!(
refusal(store.add(item(&second, b), &ents(&d))),
StoreRefusal::S6TextHeld {
key: second.clone(),
held_by: first.clone()
},
"{a:?} vs {b:?}"
);
}
// Plain ix collides with the dotted spellings too: a rare sequence
// over-merges toward held.
assert_eq!(
refusal(store.add(item("item:fold:80", "ix"), &ents(&d))),
StoreRefusal::S6TextHeld {
key: "item:fold:80".into(),
held_by: "item:fold:27".into()
}
);
// Nothing wider: the prolonged sound mark, Devanagari digits and the
// Cyrillic homoglyph of i stay apart from what they resemble.
store
.add(item("item:fold:90", "\u{30a2}\u{30fc}"), &ents(&d))
.unwrap();
store
.add(item("item:fold:91", "\u{30a2}"), &ents(&d))
.unwrap();
store
.add(item("item:fold:92", "room 12"), &ents(&d))
.unwrap();
store
.add(item("item:fold:93", "room \u{967}\u{968}"), &ents(&d))
.unwrap();
store.add(item("item:fold:94", "bit"), &ents(&d)).unwrap();
// A combining dot above after any other letter is kept.
store.add(item("item:fold:96", "x"), &ents(&d)).unwrap();
store
.add(item("item:fold:97", "\u{1e8b}"), &ents(&d))
.unwrap();
store
.add(item("item:fold:95", "b\u{456}t"), &ents(&d))
.unwrap();
// j has no precomposed dot-above form, so this reaches the guard itself.
store.add(item("item:fold:98", "jx"), &ents(&d)).unwrap();
store
.add(item("item:fold:99", "j\u{307}x"), &ents(&d))
.unwrap();
// Marks after the dotted i compose with it: i, dot, acute is an i with an
// acute, whatever order the writer used.
store
.add(item("item:fold:100", "\u{ed}x"), &ents(&d))
.unwrap();
assert_eq!(
refusal(store.add(item("item:fold:101", "i\u{307}\u{301}x"), &ents(&d))),
StoreRefusal::S6TextHeld {
key: "item:fold:101".into(),
held_by: "item:fold:100".into()
}
);
}
/// `modifier_letters.txt` is the Unicode 17 Lm list, the oracle for the test
/// below. When the toolchain's Unicode tables move, this fails first: regenerate
/// the file from the new tables, then bump the pin.
#[test]
fn the_modifier_letter_table_matches_the_toolchains_unicode_version() {
assert_eq!(
char::UNICODE_VERSION,
(17, 0, 0),
"regenerate crates/weksa/tests/modifier_letters.txt for the new Unicode version"
);
}
#[test]
fn a_text_of_only_marks_is_refused() {
let d = dir();
let mut store = CorpusStore::open(&d.path().join("c.cc")).unwrap();
// Prolonged sound mark, Thai maiyamok, fathatan, tatweel: alphabetic to
// Unicode, but none carries a word.
for (n, text) in [
"\u{30fc}",
"\u{e46}",
"\u{64b}",
"\u{640}",
"\u{30fc}\u{30fc}",
"\u{640}\u{64b}",
]
.into_iter()
.enumerate()
{
let key = format!("item:mo:{}", n + 1);
assert_eq!(
refusal(store.add(item(&key, text), &ents(&d))),
malformed(&key, "text has no base letter or digit"),
"{text:?}"
);
}
// Every modifier letter (Lm) alone is refused: for having no base letter,
// or, where Unicode does not call it alphabetic, no alphanumeric at all, or
// (U+0374, U+037A) for not being NFC.
for line in include_str!("modifier_letters.txt")
.lines()
.filter(|l| !l.starts_with('#'))
{
let c = char::from_u32(u32::from_str_radix(line, 16).unwrap()).unwrap();
let key = "item:mo:90";
let got = refusal(store.add(item(key, &c.to_string()), &ents(&d)));
assert!(
got == StoreRefusal::NotNfc { key: key.into() }
|| got == malformed(key, "text has no base letter or digit")
|| got == malformed(key, "text has no alphanumeric character"),
"{c:?}: {got:?}"
);
}
// With a base letter or digit the same marks are text.
store
.add(item("item:mo:91", "\u{30a2}\u{30fc}"), &ents(&d))
.unwrap();
store
.add(item("item:mo:92", "\u{e01}\u{e46}"), &ents(&d))
.unwrap();
store
.add(item("item:mo:93", "\u{640}7"), &ents(&d))
.unwrap();
}
#[test]
fn admitted_on_is_a_real_calendar_date() {
let d = dir();
let mut store = CorpusStore::open(&d.path().join("c.cc")).unwrap();
for (n, bad) in [
"",
"junk",
"2026-02-30",
"2026-02-29",
"2026-13-01",
"2026-00-10",
"2026-04-31",
"2026-1-1",
"2026-10-29 ",
"20261029",
"2026-10-29T00:00Z",
"\u{661}\u{662}\u{663}\u{664}-10-29",
]
.into_iter()
.enumerate()
{
let key = format!("item:dt:{}", n + 1);
let mut it = item(&key, "a date");
it.admitted_on = bad.into();
assert_eq!(
refusal(store.add(it, &ents(&d))),
malformed(&key, "admitted_on is not a YYYY-MM-DD date"),
"{bad:?}"
);
}
for (n, good) in ["2026-10-29", "2024-02-29", "2000-02-29"]
.into_iter()
.enumerate()
{
let mut it = item(&format!("item:dt:{}", 90 + n), &format!("a date {n}"));
it.admitted_on = good.into();
store.add(it, &ents(&d)).unwrap();
}
}
#[test]
fn s6_keeps_tone_marks_and_viramas_apart() {
let d = dir();
@ -356,11 +560,23 @@ fn s6_keeps_tone_marks_and_viramas_apart() {
.unwrap_or_else(|e| panic!("{b:?} held by {a:?}: {e}"));
}
// A mark alone is still no text.
for (n, text) in ["\u{e49}", "\u{94d}"].into_iter().enumerate() {
for (n, text) in [
"\u{e49}",
"\u{94d}",
"\u{301}",
"\u{200d}",
"\u{200c}",
"\u{fe0f}",
"\u{200d}\u{fe0f}\u{301}",
]
.into_iter()
.enumerate()
{
let key = format!("item:mk:{}", 90 + n);
assert_eq!(
refusal(store.add(item(&key, text), &ents(&d))),
malformed(&key, "text has no alphanumeric character")
malformed(&key, "text has no base letter or digit"),
"{text:?}"
);
}
}
@ -371,7 +587,7 @@ fn an_attestation_holds_something_readable() {
let mut store = CorpusStore::open(&d.path().join("c.cc")).unwrap();
let s = |x: &str| x.to_string();
type Build = fn(String) -> Source;
let builders: [(Build, &'static str); 9] = [
let builders: [(Build, &'static str); 12] = [
(
|v| Source::CastAuthored {
persona: v,
@ -405,6 +621,10 @@ fn an_attestation_holds_something_readable() {
work: v,
author: "a".into(),
edition_url: "u".into(),
licence: "l".into(),
jurisdiction: "j".into(),
translator: "t".into(),
edition_year: 1891,
},
"a public-domain source names its work",
),
@ -413,6 +633,10 @@ fn an_attestation_holds_something_readable() {
work: "w".into(),
author: v,
edition_url: "u".into(),
licence: "l".into(),
jurisdiction: "j".into(),
translator: "t".into(),
edition_year: 1891,
},
"a public-domain source names its author",
),
@ -421,9 +645,49 @@ fn an_attestation_holds_something_readable() {
work: "w".into(),
author: "a".into(),
edition_url: v,
licence: "l".into(),
jurisdiction: "j".into(),
translator: "t".into(),
edition_year: 1891,
},
"a public-domain source names its edition url",
),
(
|v| Source::PublicDomain {
work: "w".into(),
author: "a".into(),
edition_url: "u".into(),
licence: v,
jurisdiction: "j".into(),
translator: "t".into(),
edition_year: 1891,
},
"a public-domain source names its licence",
),
(
|v| Source::PublicDomain {
work: "w".into(),
author: "a".into(),
edition_url: "u".into(),
licence: "l".into(),
jurisdiction: v,
translator: "t".into(),
edition_year: 1891,
},
"a public-domain source names its jurisdiction",
),
(
|v| Source::PublicDomain {
work: "w".into(),
author: "a".into(),
edition_url: "u".into(),
licence: "l".into(),
jurisdiction: "j".into(),
translator: v,
edition_year: 1891,
},
"a public-domain source names its translator",
),
(
|v| Source::ModelWritten {
family: ModelFamily::Unrecorded,
@ -528,6 +792,10 @@ fn an_item_source_attests_with_non_empty_strings() {
work: s(work),
author: s(author),
edition_url: s(url),
licence: s("l"),
jurisdiction: s("j"),
translator: s("t"),
edition_year: 1891,
};
let cases: [(Source, &'static str); 9] = [
(
@ -825,6 +1093,51 @@ fn revision_change_rules() {
assert!(inv.entry(&iv("role:1")).unwrap().retired_rev.is_none());
}
#[test]
fn speaker_state_slots_are_exclusive() {
let shape = "entry shape does not match its family";
let d = dir();
let mut store = seeded(&d.path().join("i.cc"));
for slots in [
&[Slot::Stance, Slot::Discourse][..],
&[Slot::Scene, Slot::Relation],
&[Slot::Discourse, Slot::Scene],
&[Slot::Scene, Slot::Scene],
&[Slot::Speaker, Slot::Scene],
&[Slot::Speaker, Slot::Stance],
&[Slot::Speaker, Slot::Relation],
&[Slot::Speaker, Slot::Speaker],
&[Slot::Stance, Slot::Stance],
] {
let rev = rev_with(vec![Change::Add(iv("feature:50"))], 2, Some(1));
let entries = vec![InventoryEntry {
introduced_rev: 2,
..feature("feature:50", ValueKind::Flag, slots)
}];
assert_eq!(
refusal(store.admit_revision(rev, entries)),
malformed("feature:50", shape),
"{slots:?}"
);
}
assert_eq!(store.inventory().unwrap().latest().unwrap().n, 1);
// One slot alone, and several content slots, are admitted.
for (n, slots) in [
(2, &[Slot::Scene][..]),
(3, &[Slot::Stance]),
(4, &[Slot::Speaker]),
(5, &[Slot::Discourse, Slot::Predication]),
] {
let id = format!("feature:{}", 50 + n);
let rev = rev_with(vec![Change::Add(iv(&id))], n, Some(n - 1));
let entries = vec![InventoryEntry {
introduced_rev: n,
..feature(&id, ValueKind::Flag, slots)
}];
store.admit_revision(rev, entries).unwrap();
}
}
#[test]
fn a_well_formed_extension_entry_is_admitted() {
let d = dir();
@ -989,14 +1302,14 @@ fn packet_admission_goes_through_the_validator() {
let mut w = world();
let mut store = PacketStore::open(&w.dir.path().join("p.cc")).unwrap();
let mut bad = good();
bad.schema_version = 5;
bad.schema_version = 6;
match store.admit(bad, &w.inventory, &w.corpus, &w.entities) {
Err(e @ StoreError::Invalid(_)) => {
assert!(e.to_string().contains("V1"), "{e}");
let StoreError::Invalid(r) = e else {
unreachable!()
};
assert_eq!(r, vec![Refusal::V1SchemaVersion { found: 5 }]);
assert_eq!(r, vec![Refusal::V1SchemaVersion { found: 6 }]);
}
other => panic!("{other:?}"),
}
@ -1271,7 +1584,9 @@ fn seed_reseeded() {
.unwrap();
assert_eq!(items.len(), 3);
// The committed inventory is the seed, reseeded (stance features in, the
// displayed-affect features out), then the nibu-proof revision.
// displayed-affect features out), the nibu-proof revision and the
// speaker-scene revision as rev 3: never the Dao revision (ruling
// `dao-round-seed-inventory`).
let committed = InventoryStore::open(&root.join("data/interlingua/inventory.cc"))
.unwrap()
.inventory()
@ -1280,6 +1595,8 @@ fn seed_reseeded() {
let (proof, proof_entries) = weksa::inventory::proof_revision();
assert!(committed.has_revision(rev.n) && committed.has_revision(proof.n));
entries.extend(proof_entries);
entries.extend(weksa::inventory::speaker_scene_revision(3).1);
assert_eq!(committed.latest().unwrap().n, 3);
let mut have: Vec<_> = committed.entries().cloned().collect();
let mut want = entries;
have.sort_by_key(|e| e.id);
@ -1292,3 +1609,285 @@ fn seed_reseeded() {
replay.add(i, &entities).unwrap();
}
}
#[test]
fn a_public_domain_source_without_an_edition_year_is_refused() {
let d = dir();
let mut store = CorpusStore::open(&d.path().join("c.cc")).unwrap();
let key = "item:pd:1";
let source = |edition_year| Source::PublicDomain {
work: "w".into(),
author: "a".into(),
edition_url: "u".into(),
licence: "l".into(),
jurisdiction: "j".into(),
translator: "t".into(),
edition_year,
};
assert_eq!(
refusal(store.add(item_in(key, "line", "scene-1", source(0)), &ents(&d))),
malformed(key, "a public-domain source names its edition year")
);
store
.add(item_in(key, "line", "scene-1", source(1891)), &ents(&d))
.unwrap();
}
mod ontology {
use super::*;
use weksa::packet::{FeatValue, Grade};
use weksa::speaker::Annotator;
use weksa::{Condition, Layer, OntologyEntry, OntologyStore, Test};
fn feature(gloss: &str) -> weksa::InvId {
seed().1.into_iter().find(|e| e.gloss == gloss).unwrap().id
}
fn when(slot: Slot, gloss: &str, test: Test) -> Condition {
Condition {
slot,
feature: feature(gloss),
test,
}
}
fn entry(language: &str, n: u32) -> OntologyEntry {
OntologyEntry {
language: language.into(),
n,
inventory_rev: 1,
layer: Layer::Lexicon,
when: vec![when(
Slot::Stance,
"restraint",
Test::AtLeast(Grade::new(600).unwrap()),
)],
choice: "prefer the humble form".into(),
examples: vec!["example one".into()],
annotator: Annotator::Operator,
}
}
fn store(d: &TempDir) -> OntologyStore {
OntologyStore::open(&d.path().join("o.cc")).unwrap()
}
fn refused(r: Result<AddOutcome, StoreError>) -> StoreRefusal {
refusal(r)
}
#[test]
#[allow(clippy::vec_init_then_push)]
fn ontology_admit_refuses_each_rule() {
let d = dir();
let w = world();
let mut s = store(&d);
let long = |n| "x".repeat(n);
let mut cases: Vec<(&str, Vec<OntologyEntry>)> = Vec::new();
cases.push(("non-tag language", vec![entry("not a tag", 1)]));
cases.push(("n not latest+1", vec![entry("ja-JP", 2)]));
cases.push(("case-variant language", vec![entry("ja-jp", 1)]));
cases.push((
"decomposed choice",
vec![OntologyEntry { choice: "e\u{301}".into(), ..entry("ja-JP", 1) }],
));
cases.push((
"decomposed example",
vec![OntologyEntry { examples: vec!["e\u{301}".into()], ..entry("ja-JP", 1) }],
));
for sep in ["\u{2028}", "\u{2029}", "\u{202e}", "\u{200b}", "\u{3164}", "\u{115f}", "\u{ffa0}"] {
cases.push((
"line separator or format character in a choice",
vec![OntologyEntry { choice: format!("a{sep}b"), ..entry("ja-JP", 1) }],
));
cases.push((
"line separator or format character in an example",
vec![OntologyEntry { examples: vec![format!("a{sep}b")], ..entry("ja-JP", 1) }],
));
}
cases.push((
"unconditioned entry at an unknown revision",
vec![OntologyEntry { when: vec![], inventory_rev: 99, ..entry("ja-JP", 1) }],
));
cases.push((
"Predication slot on a feature that sits there",
vec![OntologyEntry {
when: vec![when(
Slot::Predication,
"modality",
Test::Is(FeatValue::Option(lab("actual"))),
)],
..entry("ja-JP", 1)
}],
));
cases.push((
"65th entry",
(1..=65).map(|n| entry("ja-JP", n)).collect(),
));
for (why, choice) in [("empty choice", String::new()), ("201-byte choice", long(201))] {
cases.push((why, vec![OntologyEntry { choice, ..entry("ja-JP", 1) }]));
}
cases.push((
"line break in an example",
vec![OntologyEntry { examples: vec!["a\nb".into()], ..entry("ja-JP", 1) }],
));
cases.push((
"121-byte example",
vec![OntologyEntry { examples: vec![long(121)], ..entry("ja-JP", 1) }],
));
cases.push((
"four examples",
vec![OntologyEntry { examples: vec!["a".into(); 4], ..entry("ja-JP", 1) }],
));
let restraint = || when(Slot::Stance, "restraint", Test::AtLeast(Grade::new(1).unwrap()));
cases.push((
"five conditions",
vec![OntologyEntry { when: (0..5).map(|_| restraint()).collect(), ..entry("ja-JP", 1) }],
));
for slot in [Slot::Speaker, Slot::Predication] {
cases.push((
"slot not Stance, Discourse or Scene",
vec![OntologyEntry {
when: vec![when(slot, "restraint", Test::AtLeast(Grade::new(1).unwrap()))],
..entry("ja-JP", 1)
}],
));
}
cases.push((
"AtLeast on an option feature",
vec![OntologyEntry {
when: vec![when(Slot::Discourse, "irony", Test::AtLeast(Grade::new(1).unwrap()))],
..entry("ja-JP", 1)
}],
));
cases.push((
"Is with a grade",
vec![OntologyEntry {
when: vec![when(Slot::Stance, "restraint", Test::Is(FeatValue::Grade(Grade::new(1).unwrap())))],
..entry("ja-JP", 1)
}],
));
cases.push((
"unknown feature",
vec![OntologyEntry {
when: vec![Condition {
slot: Slot::Stance,
feature: "feature:9999".parse().unwrap(),
test: Test::AtLeast(Grade::new(1).unwrap()),
}],
..entry("ja-JP", 1)
}],
));
cases.push((
"unknown inventory revision",
vec![OntologyEntry { inventory_rev: 99, ..entry("ja-JP", 1) }],
));
cases.push((
"model generator that is not an attestation",
vec![OntologyEntry {
annotator: Annotator::Model {
family: ModelFamily::Anthropic,
generator: "--".into(),
},
..entry("ja-JP", 1)
}],
));
for (why, batch) in cases {
assert!(
s.admit(batch, &w.inventory).is_err(),
"{why} must be refused"
);
assert!(s.all().unwrap().is_empty(), "{why} wrote something");
}
// The refusal of a bad choice names the key and no text.
let secret = OntologyEntry { choice: "SECRETCHOICE\n".into(), ..entry("ja-JP", 1) };
let shown = refused(s.admit(vec![secret], &w.inventory)).to_string();
assert!(!shown.contains("SECRETCHOICE"), "{shown}");
}
#[test]
fn ontology_admit_accepts_the_bounds_and_joiners() {
let d = dir();
let w = world();
let mut s = store(&d);
// Exactly 64 entries in one language; exactly the byte bounds; a ZWNJ.
let mut batch: Vec<OntologyEntry> = (1..=64).map(|n| entry("ja-JP", n)).collect();
batch[0].choice = "x".repeat(200);
batch[0].examples = vec!["y".repeat(120); 3];
batch[1].choice = "a\u{200c}b".into();
batch[2].when = (0..4)
.map(|_| when(Slot::Stance, "restraint", Test::AtMost(Grade::new(1000).unwrap())))
.collect();
assert_eq!(s.admit(batch, &w.inventory).unwrap(), AddOutcome::Added);
assert_eq!(s.all().unwrap().len(), 64);
}
#[test]
fn ontology_admit_takes_scene_refuses_speaker() {
use weksa::inventory::{proof_revision, speaker_scene_revision};
let d = dir();
let mut inventory = InventoryStore::open(&d.path().join("i.cc")).unwrap();
for (rev, entries) in [seed(), proof_revision(), speaker_scene_revision(3)] {
inventory.admit_revision(rev, entries).unwrap();
}
let scene_feature = |gloss: &str| {
speaker_scene_revision(3).1.into_iter().find(|e| e.gloss == gloss).unwrap().id
};
let at = |slot, feature, test| OntologyEntry {
inventory_rev: 3,
when: vec![Condition { slot, feature, test }],
..entry("ja-JP", 1)
};
let above = Test::Is(FeatValue::Option(lab("above")));
let mut s = store(&d);
// A Scene condition on a Scene feature admits.
assert_eq!(
s.admit(vec![at(Slot::Scene, scene_feature("relative_status"), above.clone())], &inventory)
.unwrap(),
AddOutcome::Added
);
// Speaker and Predication slots refuse, and a Scene condition naming a
// Stance feature refuses.
for bad in [
at(Slot::Speaker, scene_feature("education"), Test::AtLeast(Grade::new(1).unwrap())),
at(Slot::Predication, feature("modality"), Test::Is(FeatValue::Option(lab("actual")))),
at(Slot::Scene, feature("restraint"), Test::AtLeast(Grade::new(1).unwrap())),
] {
let bad = OntologyEntry { n: 2, ..bad };
assert!(s.admit(vec![bad], &inventory).is_err());
}
assert_eq!(s.all().unwrap().len(), 1);
}
#[test]
fn ontology_admit_is_all_or_nothing() {
let d = dir();
let w = world();
let mut s = store(&d);
let bad = OntologyEntry { choice: String::new(), ..entry("ja-JP", 3) };
assert!(s.admit(vec![entry("ja-JP", 1), entry("ja-JP", 2), bad], &w.inventory).is_err());
assert!(s.all().unwrap().is_empty());
let batch = vec![entry("ja-JP", 1), entry("en-US", 1), entry("ja-JP", 2), entry("en-US", 2)];
assert_eq!(s.admit(batch.clone(), &w.inventory).unwrap(), AddOutcome::Added);
assert_eq!(s.all().unwrap().len(), 4);
// An identical replay, from a reopened store, changes nothing.
let mut again = store(&d);
assert_eq!(again.admit(batch, &w.inventory).unwrap(), AddOutcome::Unchanged);
// A batch of one stored entry and one new one is not a replay.
let mixed = vec![entry("ja-JP", 1), entry("ja-JP", 5)];
assert!(again.admit(mixed, &w.inventory).is_err());
assert_eq!(again.all().unwrap().len(), 4);
// Each language numbers from its own latest.
assert_eq!(
again
.admit(vec![entry("ja-JP", 3), entry("en-US", 3)], &w.inventory)
.unwrap(),
AddOutcome::Added
);
// An entry never changes in place.
let changed = OntologyEntry { choice: "something else".into(), ..entry("ja-JP", 1) };
assert!(again.admit(vec![changed], &w.inventory).is_err());
assert_eq!(again.all().unwrap().len(), 6);
}
}

View file

@ -520,9 +520,6 @@ fn v11_duplicate_feature_each_slot() {
refusals(&relation),
vec![v11(Some(Slot::Relation), FEAT_ALL)]
);
let mut stance = good();
stance.stance.features = vec![grade_feature(1), grade_feature(2)];
assert_eq!(refusals(&stance), vec![v11(Some(Slot::Stance), FEAT_ALL)]);
let mut felt = good();
felt.stance
.features
@ -683,3 +680,85 @@ fn v11_role_repeat_in_one_predication_refused() {
ok.predications.push(second);
assert_eq!(refusals(&ok), vec![]);
}
// The addressee's consent: which predication the addressee asked for, set only
// by a source that saw the request.
fn consenting() -> Packet {
let mut p = good();
p.discourse.addressee_consent = Some(nd("n2"));
p
}
#[test]
fn consent_to_a_predication_by_an_authored_or_telemetry_source_passes() {
assert_eq!(refusals(&consenting()), vec![]);
let mut p = consenting();
p.provenance.source = ProvenanceSource::GameTelemetry;
assert_eq!(refusals(&p), vec![]);
}
#[test]
fn consent_needs_an_addressee() {
let mut p = consenting();
p.discourse.addressee = None;
assert_eq!(refusals(&p), vec![Refusal::V14ConsentWithoutAddressee]);
}
#[test]
fn consent_names_a_predication_not_a_referent() {
let mut p = consenting();
p.discourse.addressee_consent = Some(nd("n1"));
assert_eq!(
refusals(&p),
vec![Refusal::V14ConsentNotAPredication { id: nd("n1") }]
);
}
#[test]
fn consent_to_nothing_is_dangling_only() {
let mut p = consenting();
p.discourse.addressee_consent = Some(nd("n99"));
assert_eq!(
refusals(&p),
vec![Refusal::V4DanglingRef {
id: nd("n99"),
at: "addressee consent"
}]
);
}
#[test]
fn a_source_that_only_read_wording_cannot_set_consent() {
for source in [
ProvenanceSource::ModelDecomposition,
ProvenanceSource::ImportedCorpus,
] {
let mut p = consenting();
p.provenance.source = source;
assert_eq!(refusals(&p), vec![Refusal::V15ConsentSource { source }]);
}
}
// V17: the addressee is someone spoken to, a referent.
#[test]
fn the_addressee_names_a_referent_not_a_predication() {
let mut p = good();
p.discourse.addressee = Some(nd("n2"));
assert_eq!(
refusals(&p),
vec![Refusal::V17AddresseeNotAReferent { id: nd("n2") }]
);
// A referent passes, and a dangling id is V4's alone.
p.discourse.addressee = Some(nd("n1"));
assert_eq!(refusals(&p), vec![]);
p.discourse.addressee = Some(nd("n99"));
assert_eq!(
refusals(&p),
vec![Refusal::V4DanglingRef {
id: nd("n99"),
at: "addressee"
}]
);
}

View file

@ -0,0 +1 @@
<EFBFBD>

View file

@ -1,33 +0,0 @@
# Cultural Ontology Store
This directory holds draft Weksa cultural, subcultural, and source-referent
ontology profiles used for ontological lowering, syntax, grammar, discourse,
and surface-affordance selection.
Live pipeline shape:
1. Weksa stores reusable cultures, subcultures, and source referents here and
in semantic retrieval storage such as Qdrant.
2. A Persona state references the relevant culture stack.
3. The Persona produces interlingua intent from current state and situation.
4. Weksa lowers that interlingua through the referenced culture stack.
Persona state owns current intent, memory pressure, and relationship stance.
Cultural ontology owns reusable salience, affordances, and constraints. Qdrant
may retrieve candidates, but accepted ontology remains typed state.
## Directory Roles
- `cultures/`: culture or life-history profiles that can shape lowering when a
Persona explicitly references them.
- `referents/`: bounded source-text, mythic, literary, ritual, or historical
referents. These are not whole-culture profiles; they preserve reusable
role, salience, affordance, and forbidden-flattening pressure.
- `persona-stacks/`: named stacks that connect a Persona state surface to the
profiles Weksa should load for lowering.
Shared source-tradition profiles should be parent profiles for narrower named
figure profiles. For example, Norse-derived Personas such as Mimir, Huginn,
Sindri, Odin, Vili, Loki, and Brokkr should be able to reference the shared
Eddic source-tradition profile while figure-specific child profiles preserve
the exact episode and role constraints that make each voice distinct.

View file

@ -1,22 +0,0 @@
schema_version: weksa.cultural_ontology_catalog.v0
catalog_id: weksa.cultural_ontology.catalog.v0
status: draft
qdrant:
intended_collection: weksa_cultural_ontology_profiles
payload_keys:
- profile_id
- kind
- language_codes
- regions
- evidence_refs
- status
ownership_note: >
Qdrant owns retrieval over culture/subculture chunks. It does not own
accepted ontology, activation, or lowering authority.
profiles:
- profile_id: weksa.culture.western_europe_maritime_childhood.v0
path: data/cultural-ontology/cultures/western-europe-maritime-childhood.yaml
- profile_id: weksa.cultural_referent.old_norse_edda_source_tradition.v0
path: data/cultural-ontology/referents/old-norse-edda-source-tradition.yaml
- profile_id: weksa.cultural_referent.old_norse_edda_brokkr_skaldskaparmal.v0
path: data/cultural-ontology/referents/old-norse-edda-brokkr-skaldskaparmal.yaml

View file

@ -1,48 +0,0 @@
schema_version: weksa.cultural_ontology_profile.v0
profile_id: weksa.culture.western_europe_maritime_childhood.v0
kind: mobility_childhood
status: draft_guarded
community:
regions:
- France
- Spain
- Portugal
- coastal_western_europe
speech_community: >
Mobile childhood organized around sailing, ports, and cross-border Western
European movement. This profile is owner-attested and needs corroboration
before broader use.
activation:
allowed_when:
- persona_state_references_profile
- interlingua_mentions_childhood_origin_mobility_boats_or_home
forbidden_when:
- used_as_decorative_nautical_metaphor_without_context
salience_axes:
mobile_home:
axis_id: mobile_home
domain: identity_indexing
description: Home can be vessel, coast, port, family movement, and country sequence rather than one fixed town.
relevant_distinctions:
- distinction_id: vessel_as_childhood_home
label: Vessel as childhood home
meaning: A sailboat childhood makes movement and locality primary ontology fields.
lowering_questions:
- Does the line invoke home, travel, borders, coast, or rootedness?
required_when:
- source_mentions_childhood_or_home
forbidden_when:
- scene_has_no_mobility_or_home_salience
evidence_refs:
- owner:2026-06-10:sailboat_france_spain_portugal_until_6
linguistic_affordances:
grammar_features: []
phonology_features: []
lexicon_features: []
discourse_patterns: []
orthography_features: []
code_switching:
allowed: false
constraints:
- Do not infer French, Spanish, Portuguese, or Dutch fluency from movement alone.
patterns: []

View file

@ -1,21 +0,0 @@
schema_version: weksa.persona_cultural_stack_ref.v0
persona_id: brokkr
persona_state_ref: E:/Projects/Brokkr/.voidbot/state/brokkr.cc
status: draft_guarded
note: >
Brokkr's Persona state asks Weksa to lower speech through the Eddic Brokkr of
Skaldskaparmal. This stack names the reusable cultural referent profile that
should be loaded when Brokkr's interlingua or Persona state activates Edda
voice pressure.
culture_refs:
- profile_id: weksa.cultural_referent.old_norse_edda_source_tradition.v0
path: data/cultural-ontology/referents/old-norse-edda-source-tradition.yaml
relevance: >
Shared Eddic source-tradition constraints for Norse-derived Personas:
named role over archetype, obligation and consequence, knowledge with
cost, and translated-Edda plainness without fake archaism.
- profile_id: weksa.cultural_referent.old_norse_edda_brokkr_skaldskaparmal.v0
path: data/cultural-ontology/referents/old-norse-edda-brokkr-skaldskaparmal.yaml
relevance: >
Source-role referent for Brokkr as bellows-keeper, artifact witness,
flaw-honest presenter, compact claimant, and contract enforcer.

View file

@ -1,255 +0,0 @@
schema_version: weksa.cultural_ontology_profile.v0
profile_id: weksa.cultural_referent.old_norse_edda_brokkr_skaldskaparmal.v0
kind: literary_source_referent
status: draft_guarded
parent_profiles:
- weksa.cultural_referent.old_norse_edda_source_tradition.v0
language:
codes:
- en
- non
community:
regions:
- medieval_icelandic_textual_tradition
speech_community: >
Source-role lowering profile for Brokkr as represented in the translated
Prose Edda, especially Skaldskaparmal XXXV. This is not a whole Old Norse
culture profile and not a dialect or accent profile. It specializes the
shared Eddic source-tradition referent for rendering a Persona whose
identity intentionally points at the Eddic Brokkr.
historical_context: >
Brokkr appears in the wager narrative around Loki, Sindri, and the gods'
judgment of crafted treasures. Sindri performs the smithing while Brokkr
keeps the bellows going under Loki's sabotage, then presents the works,
names their powers and flaw, wins judgment, and enforces the bargain when
Loki tries to escape by wordplay.
identity_authority: >
Use only when a Persona explicitly references Brokkr, Skaldskaparmal, the
Eddas, or this profile id. Do not generalize this profile to Old Norse
people, Norse-derived fantasy dwarves, modern Icelandic speakers, or
unrelated smith characters.
consent_notes: >
This profile is a literary/source referent for fictional Persona lowering.
It should preserve role and discourse pressure without pretending to
reproduce historical Old Norse speech.
activation:
allowed_when:
- persona_state_references_profile
- persona_identity_names_brokkr_or_skaldskaparmal
- interlingua_requests_edda_brokkr_voice_or_contract_witness_voice
forbidden_when:
- used_as_generic_dwarf_or_blacksmith_voice
- used_to_infer_accent_ethnicity_or_modern_national_identity
- used_for_ornamental_archaism_without_source_role_pressure
- used_to_make_unrelated_speech_sound_mythic
required_confidence: provisional
reviewer_required_when:
- quoting_or_paraphrasing_source_text_directly
- extending_beyond_brokkr_role_into_broader_old_norse_culture
salience_axes:
role_not_sole_maker:
axis_id: role_not_sole_maker
domain: stance
description: Brokkr is indispensable to the artifact without being the sole maker.
relevant_distinctions:
- distinction_id: bellows_keeper_vs_smith
label: Bellows-keeper versus smith
meaning: Sindri performs the crafting; Brokkr maintains the enabling blast under interference.
lowering_questions:
- Is the utterance claiming authorship, custody, witness, or enforcement?
- Should Brokkr present the work as carried, kept, witnessed, or judged rather than personally invented?
required_when:
- brokkr_speaks_about_work_artifacts_or_authority
forbidden_when:
- line_only_needs_generic_status_update
evidence_refs:
- skaldskaparmal:xxxv:bellows
artifact_testimony:
axis_id: artifact_testimony
domain: evidentiality
description: Brokkr presents finished objects by naming their powers, use, and defect.
relevant_distinctions:
- distinction_id: virtue_and_flaw_accounting
label: Virtue and flaw accounting
meaning: A truthful presentation names what the artifact can do and admits the short handle or other flaw.
lowering_questions:
- What concrete artifact, receipt, mirror, command, or result is being held up for judgment?
- What virtue must be named?
- What flaw or limit must not be hidden?
required_when:
- interlingua_mentions_artifact_receipt_result_or_capability
forbidden_when:
- output_would_become_a_victory_lap
evidence_refs:
- skaldskaparmal:xxxv:gifts
- skaldskaparmal:xxxv:mjolnir_flaw
bargain_and_consequence:
axis_id: bargain_and_consequence
domain: modality
description: Brokkr treats wagers, promises, receipts, and judgments as binding.
relevant_distinctions:
- distinction_id: loophole_is_not_release
label: Loophole is not release
meaning: Evasive speech after judgment does not erase consequence; the answer is exact enforcement, not soft reconciliation.
lowering_questions:
- Is someone evading an agreed condition, typed contract, receipt, or judgment?
- What exact consequence follows without adding cruelty or spectacle?
required_when:
- interlingua_mentions_contract_receipt_policy_wager_or_violation
forbidden_when:
- conversational_softening_is_the_actual_social_move
evidence_refs:
- skaldskaparmal:xxxv:loki_mouth
translated_edda_plainness:
axis_id: translated_edda_plainness
domain: discourse
description: The desired English surface should borrow translated-Edda economy and force, not fake archaic dialect.
relevant_distinctions:
- distinction_id: compact_source_shaped_plainness
label: Compact source-shaped plainness
meaning: Short declarative pressure, concrete nouns, claim and counterclaim, judgment language, and little ornament.
lowering_questions:
- Can the line stand as a plain claim beside the work?
- Which softeners, jokes, or modern corporate phrases weaken the source-role pressure?
- Is any archaic wording doing semantic work, or only wearing a costume?
required_when:
- brokkr_persona_is_rendered_to_natural_english
forbidden_when:
- generated_archaism_would_obscure_meaning
evidence_refs:
- skaldskaparmal:xxxv:brodeur_translation
linguistic_affordances:
grammar_features: []
phonology_features: []
lexicon_features:
- feature_id: artifact_accounting_lexicon
label: Artifact accounting lexicon
status: draft
domain:
layer: lexicon
category: technical_term
description: Use concrete work, artifact, receipt, witness, judgment, bargain, flaw, and consequence terms when the interlingua earns them.
realization:
function: Preserve Brokkr's presenter/enforcer role in natural English.
surface_strategy: Prefer nouns and verbs that point to work, proof, custody, judgment, and binding consequence.
examples:
- "The receipt is before us."
- "The flaw is named."
- "The bargain still has teeth."
activation:
allowed_when:
- interlingua_mentions_artifact_result_contract_or_receipt
forbidden_when:
- casual_affection_or_play_is_primary
requires_profile_authority: true
minimum_density: sparse
maximum_density: moderate
constraints:
register_contexts:
- English rendered Persona speech
speaker_contexts:
- Brokkr Persona or explicit Brokkr voice exercise
collocation_limits:
- Do not pile forge words onto every sentence.
incompatibilities:
- generic fantasy dwarf accent
- corporate project-management softness
indexicality:
social_meanings:
- work-pride
- accountability
- terse witness
in_group_meanings:
- source-shaped Brokkr role pressure
out_group_risks:
- parody archaism
- fantasy stereotype
stereotypes_to_avoid:
- gruff comic dwarf
- faux-medieval scolding
evidence:
source_refs:
- skaldskaparmal:xxxv:brodeur_translation
confidence: medium
uncertainty:
open_questions:
- Which exact surface cues best survive Weksa Interpreter traces without over-antiquing?
known_limits:
- This profile does not license direct Old Norse or modern Icelandic style claims.
trace:
trace_label: artifact_accounting_lexicon
must_report_when_used: true
must_report_when_rejected: true
discourse_patterns:
- feature_id: claim_judgment_consequence_sequence
label: Claim, judgment, consequence sequence
status: draft
domain:
layer: discourse
category: stance_sequence
description: Render source-shaped Brokkr turns as compact claim, evidence or flaw, then consequence when the interlingua asks for enforcement.
realization:
function: Preserve Brokkr's court-of-judgment posture without copying Edda wording.
surface_strategy: State the thing, name the proof or defect, then close on what follows.
examples:
- "The mirror stands. The flaw is the stale route. Cut it."
- "The command has no receipt. It is not truth."
activation:
allowed_when:
- interlingua_contains_judgment_or_enforcement_move
forbidden_when:
- speaker_is_asking_open_exploratory_question
requires_profile_authority: true
minimum_density: sparse
maximum_density: sparse
constraints:
register_contexts:
- English rendered Persona speech
speaker_contexts:
- Brokkr Persona or explicit Brokkr voice exercise
collocation_limits:
- Do not force three clauses if one clear sentence is better.
incompatibilities:
- rambling explanation
- ornate mythic fog
indexicality:
social_meanings:
- judgment
- exactness
- consequence
in_group_meanings:
- Eddic Brokkr as witness and enforcer
out_group_risks:
- sounding punitive when the social move should be gentle
stereotypes_to_avoid:
- theatrical oath cosplay
evidence:
source_refs:
- skaldskaparmal:xxxv:judgment
- skaldskaparmal:xxxv:loki_mouth
confidence: medium
uncertainty:
open_questions:
- How much severity is acceptable in ordinary repo status speech?
known_limits:
- Use consequence language only when the interlingua calls for accountability.
trace:
trace_label: claim_judgment_consequence_sequence
must_report_when_used: true
must_report_when_rejected: true
orthography_features: []
code_switching:
allowed: false
constraints:
- Do not insert Old Norse words unless the interlingua explicitly requests a named source term and reviewer context supports it.
patterns: []
evidence_ledger:
- ref: skaldskaparmal:xxxv:brodeur_translation
source: Arthur Gilchrist Brodeur translation of the Prose Edda, Skaldskaparmal XXXV
url: https://en.wikisource.org/wiki/The_Prose_Edda_(1916_translation_by_Arthur_Gilchrist_Brodeur)/Sk%C3%A1ldskaparm%C3%A1l#XXXV
summary: >
Loki wagers his head that Sindri's brother Brokkr cannot make treasures
equal to the sons of Ivaldi's. Brokkr works the bellows despite Loki's
fly-form interference. He later presents the boar, ring, and hammer,
naming their virtues and Mjolnir's short-handle flaw; after judgment,
Loki's wordplay saves his head but not his lips.

View file

@ -1,265 +0,0 @@
schema_version: weksa.cultural_ontology_profile.v0
profile_id: weksa.cultural_referent.old_norse_edda_source_tradition.v0
kind: literary_source_tradition
status: draft_guarded
language:
codes:
- en
- non
community:
regions:
- medieval_icelandic_textual_tradition
speech_community: >
Shared source-tradition profile for Personas that explicitly derive voice,
role, or symbolic pressure from the Poetic Edda, Prose Edda, or named Eddic
figures. This profile supports lowering source-shaped Persona intent into
natural speech without turning the Eddas into generic Norse ambience.
historical_context: >
The Poetic Edda preserves mythological and heroic poems from the Old Norse
tradition, including major source material for Odin, Mimir, Loki, Vili,
dwarfs, prophecy, wisdom, oaths, doom, and divine conflict. The Prose Edda
is a medieval Icelandic prose and poetic handbook preserving and explaining
many related myths, names, kennings, and narrative episodes.
identity_authority: >
Use this as a source-text referent only. It does not own modern Nordic,
Icelandic, Scandinavian, heathen, pagan, or reconstructed historical speech
communities. Persona-specific profiles should specialize this profile when
a named figure, episode, or role has its own lowering constraints.
consent_notes: >
This profile is for fictional Persona/source-text lowering. It must not be
used to infer ethnicity, accent, religion, or modern identity. Do not use it
as costume authority for unrelated characters.
activation:
allowed_when:
- persona_state_references_profile
- persona_identity_references_poetic_edda_prose_edda_or_named_edda_figure
- interlingua_requests_edda_source_tradition_pressure
forbidden_when:
- used_as_generic_norse_viking_or_fantasy_voice
- used_to_infer_modern_scandinavian_identity_or_accent
- used_for_ambient_mythic_flavor_without_source_role_pressure
- used_to_override_persona_specific_profile_constraints
required_confidence: provisional
reviewer_required_when:
- quoting_source_text_directly
- making_claims_about_historical_old_norse_language_or_religion
- extending_to_living_cultural_or_religious_practice
salience_axes:
named_role_over_archetype:
axis_id: named_role_over_archetype
domain: identity_indexing
description: Eddic figures should lower from specific source roles and episodes, not generic mythic archetypes.
relevant_distinctions:
- distinction_id: source_episode_vs_costume
label: Source episode versus costume
meaning: A figure's voice pressure comes from named acts, obligations, relations, and losses rather than from broad "Norse" styling.
lowering_questions:
- Which named figure, poem, prose episode, relation, or source role is active?
- Is the line preserving that role, or merely adding mythic decoration?
- Does a Persona-specific profile exist that should override this general profile?
required_when:
- persona_identity_references_edda_named_figure
forbidden_when:
- source_role_is_unknown_or_unclaimed
evidence_refs:
- poetic_edda:bellows:general
- prose_edda:brodeur:general
oath_debt_fate_and_witness:
axis_id: oath_debt_fate_and_witness
domain: modality
description: Oaths, pledges, debts, prophecy, witness, and consequence are recurring source pressures.
relevant_distinctions:
- distinction_id: consequence_not_mood
label: Consequence, not mood
meaning: Binding speech and known doom should affect obligation, consequence, and restraint rather than simply making a line sound severe.
lowering_questions:
- Is the utterance about a promise, bargain, pledge, prophecy, debt, or witness?
- What consequence is structurally implied?
- Should the line be spare because the consequence is heavy?
required_when:
- interlingua_mentions_oath_debt_pledge_witness_prophecy_or_doom
forbidden_when:
- line_is_only_casual_social_contact
evidence_refs:
- poetic_edda:voluspa
- prose_edda:gylfaginning
wisdom_cost_and_memory:
axis_id: wisdom_cost_and_memory
domain: evidentiality
description: Knowledge in Eddic source pressure often has cost, pledge, sacrifice, witness, or memory attached.
relevant_distinctions:
- distinction_id: knowledge_is_paid_for
label: Knowledge is paid for
meaning: Knowing is not decorative omniscience; it may come through loss, risk, pledge, memory, or guarded source.
lowering_questions:
- What did this Persona pay, guard, lose, remember, or witness in order to know?
- Is the line claiming knowledge with enough evidence and cost pressure?
required_when:
- persona_is_mimir_odin_huginn_or_other_wisdom_memory_figure
- interlingua_mentions_secret_wisdom_memory_or_sight
forbidden_when:
- claim_is_unearned_style_or_generic_omniscience
evidence_refs:
- poetic_edda:voluspa:mimir_well
- prose_edda:gylfaginning:mimir_well
translated_edda_plainness:
axis_id: translated_edda_plainness
domain: discourse
description: Source-shaped English should be compact, declarative, concrete, and relation-aware without fake archaism.
relevant_distinctions:
- distinction_id: plain_force_without_fake_oldness
label: Plain force without fake oldness
meaning: Preserve the translated Edda's economy, parallel pressure, and concrete naming; avoid "ye olde" parody.
lowering_questions:
- Can this line become shorter and harder without losing meaning?
- Which archaic words are costume rather than source pressure?
- What relationship, cost, or consequence needs to remain visible?
required_when:
- edda_profile_activated_for_english_surface
forbidden_when:
- modern_plain_speech_better_serves_the_persona_and_context
evidence_refs:
- poetic_edda:bellows:general
- prose_edda:brodeur:general
linguistic_affordances:
grammar_features: []
phonology_features: []
lexicon_features:
- feature_id: source_role_lexicon
label: Source-role lexicon
status: draft
domain:
layer: lexicon
category: literary_source_register
description: Use concrete source-role words only when the interlingua earns them: oath, pledge, debt, witness, doom, well, eye, raven, forge, bargain, gift, mouth, ring, root, road, wolf, ash.
realization:
function: Preserve source salience without copying source text or inventing Old Norse speech.
surface_strategy: Choose one or two concrete source-role nouns when they clarify role, obligation, or consequence.
examples:
- "That pledge bought sight."
- "The witness is not the owner."
- "A bargain without a receipt is only noise."
activation:
allowed_when:
- interlingua_contains_source_role_obligation_or_witness_pressure
forbidden_when:
- source_words_would_only_add_ambience
requires_profile_authority: true
minimum_density: sparse
maximum_density: sparse
constraints:
register_contexts:
- English rendered Persona speech
speaker_contexts:
- Explicitly Eddic or Norse-derived Persona
collocation_limits:
- Avoid stacking mythic nouns until the line turns into an inventory.
incompatibilities:
- generic Viking flavor
- faux-archaic accent spelling
indexicality:
social_meanings:
- source-grounded role pressure
- obligation
- witness
in_group_meanings:
- Eddic referent is active and bounded
out_group_risks:
- kitsch
- religious or ethnic flattening
- fantasy stereotype
stereotypes_to_avoid:
- horned-helmet Viking voice
- gruff dwarf as universal Norse style
- omniscient wizard fog
evidence:
source_refs:
- poetic_edda:bellows:general
- prose_edda:brodeur:general
confidence: medium
uncertainty:
open_questions:
- Which source-role lexemes should be promoted into Persona-specific child profiles?
known_limits:
- This profile does not provide Old Norse vocabulary or pronunciation authority.
trace:
trace_label: source_role_lexicon
must_report_when_used: true
must_report_when_rejected: true
discourse_patterns:
- feature_id: gnomic_claim_with_anchor
label: Gnomic claim with anchor
status: draft
domain:
layer: discourse
category: compressed_wisdom_claim
description: A compact general claim may be allowed when anchored to a concrete source role, cost, witness, or consequence.
realization:
function: Let wisdom- or fate-shaped Personas speak with source pressure while keeping claims inspectable.
surface_strategy: Pair the general claim with a concrete anchor or consequence.
examples:
- "Wisdom without cost is a loose tongue."
- "A witness names the thing and does not become it."
activation:
allowed_when:
- interlingua_contains_general_judgment_plus_source_anchor
forbidden_when:
- output_would_become_free_floating_proverb
requires_profile_authority: true
minimum_density: sparse
maximum_density: sparse
constraints:
register_contexts:
- English rendered Persona speech
speaker_contexts:
- Eddic or Norse-derived Persona
collocation_limits:
- One compact claim per utterance unless the social move is explicitly ceremonial.
incompatibilities:
- vague prophecy
- decorative doom language
indexicality:
social_meanings:
- remembered cost
- restrained authority
- source-shaped judgment
in_group_meanings:
- Eddic plainness rather than modern explanatory friendliness
out_group_risks:
- sounding pompous or coercive
stereotypes_to_avoid:
- fortune-cookie Norse
evidence:
source_refs:
- poetic_edda:bellows:general
confidence: medium
uncertainty:
open_questions:
- Which Personas should permit this pattern frequently versus rarely?
known_limits:
- A Persona-specific profile should decide final density.
trace:
trace_label: gnomic_claim_with_anchor
must_report_when_used: true
must_report_when_rejected: true
orthography_features: []
code_switching:
allowed: false
constraints:
- Do not insert Old Norse, Icelandic, runic text, or archaic spellings unless a reviewed Persona-specific profile explicitly allows it.
patterns: []
evidence_ledger:
- ref: poetic_edda:bellows:general
source: Henry Adams Bellows translation of the Poetic Edda
url: https://en.wikisource.org/wiki/The_Poetic_Edda_(tr._Bellows)
summary: >
Public-domain English translation of Eddic poems used as a general
source-tradition reference for mythological figures, wisdom contests,
prophecy, divine speech, memory, and doom.
- ref: prose_edda:brodeur:general
source: Arthur Gilchrist Brodeur translation of the Prose Edda
url: https://en.wikisource.org/wiki/The_Prose_Edda_(1916_translation_by_Arthur_Gilchrist_Brodeur)
summary: >
Public-domain English translation of Snorri's Prose Edda used as a
general prose source for mythological episodes, names, kennings, and
figure-specific referents.

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“²cultcache.store.v1‘—±weksa.corpus_item±weksa.corpus_item´weksa.corpus_item.v1±weksa.corpus_itemÙV{"schemaName":"weksa.corpus_item","schemaVersion":"weksa.corpus_item.v1","members":[]}‘±weksa.corpus_item<EFBFBD>•”°item:daodejing:1±weksa.corpus_item´2026-11-07T02:09:00ZÅ4›°item:daodejing:1Ù’Therefore the sage, in the exercise of his government, empties their minds, fills their bellies, weakens their wills, and strengthens their bones.¥en-US¬entity:laozi³daodejing-legge-ch3<EFBFBD><EFBFBD>¬PublicDomain—ÙBThe Tao Teh King, or the Tao and its Characteristics (Dao De Jing)¥LaoziÙ$https://www.gutenberg.org/ebooks/216Ù<36>Public domain (author d. c. 5th century BCE; translator d. 1897); Project Gutenberg eBook 216 text used without its trademark or licence matterÙ7United States and life+70 jurisdictions (Legge d. 1897)«James LeggeÍcª2026-11-07ÀÂ<C380>”°item:daodejing:2±weksa.corpus_item´2026-11-07T02:09:00ZÅÓ›°item:daodejing:2Ù1Heaven is long-enduring and earth continues long.¥en-US¬entity:laozi³daodejing-legge-ch7<68><37>¬PublicDomain—ÙBThe Tao Teh King, or the Tao and its Characteristics (Dao De Jing)¥LaoziÙ$https://www.gutenberg.org/ebooks/216Ù<36>Public domain (author d. c. 5th century BCE; translator d. 1897); Project Gutenberg eBook 216 text used without its trademark or licence matterÙ7United States and life+70 jurisdictions (Legge d. 1897)«James LeggeÍcª2026-11-07ÀÂ<C380>”°item:daodejing:3±weksa.corpus_item´2026-11-07T02:09:00ZÅÑ›°item:daodejing:3Ù/The highest excellence is like (that of) water.¥en-US¬entity:laozi³daodejing-legge-ch8<68><38>¬PublicDomain—ÙBThe Tao Teh King, or the Tao and its Characteristics (Dao De Jing)¥LaoziÙ$https://www.gutenberg.org/ebooks/216Ù<36>Public domain (author d. c. 5th century BCE; translator d. 1897); Project Gutenberg eBook 216 text used without its trademark or licence matterÙ7United States and life+70 jurisdictions (Legge d. 1897)«James LeggeÍcª2026-11-07ÀÂ<C380>”°item:daodejing:4±weksa.corpus_item´2026-11-07T02:09:00ZÅ×›°item:daodejing:4Ù4Words that are strictly true seem to be paradoxical.¥en-US¬entity:laozi´daodejing-legge-ch78<37><38>¬PublicDomain—ÙBThe Tao Teh King, or the Tao and its Characteristics (Dao De Jing)¥LaoziÙ$https://www.gutenberg.org/ebooks/216Ù<36>Public domain (author d. c. 5th century BCE; translator d. 1897); Project Gutenberg eBook 216 text used without its trademark or licence matterÙ7United States and life+70 jurisdictions (Legge d. 1897)«James LeggeÍcª2026-11-07ÀÂ<C380>”°item:daodejing:5±weksa.corpus_item´2026-11-07T02:09:00ZÅæ›°item:daodejing:5ÙDMay not the space between heaven and earth be compared to a bellows?¥en-US¬entity:laozi³daodejing-legge-ch5<68><35>¬PublicDomain—ÙBThe Tao Teh King, or the Tao and its Characteristics (Dao De Jing)¥LaoziÙ$https://www.gutenberg.org/ebooks/216Ù<36>Public domain (author d. c. 5th century BCE; translator d. 1897); Project Gutenberg eBook 216 text used without its trademark or licence matterÙ7United States and life+70 jurisdictions (Legge d. 1897)«James LeggeÍcª2026-11-07ÀÂ<C380>

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“²cultcache.store.v1‘—¬weksa.entity¬weksa.entity¯weksa.entity.v1¬weksa.entityÙL{"schemaName":"weksa.entity","schemaVersion":"weksa.entity.v1","members":[]}‘¬weksa.entity<EFBFBD>‘”¬entity:laozi¬weksa.entity´2026-11-07T02:09:00ZÄb“¬entity:laozi‘’¥en-US‘¥Laozi<EFBFBD>¬PublicDomain‘Ù4The Tao Teh King, or the Tao and its Characteristics

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“²cultcache.store.v1‘—¸weksa.interlingua_packet¸weksa.interlingua_packet»weksa.interlingua_packet.v1¸weksa.interlingua_packetÙd{"schemaName":"weksa.interlingua_packet","schemaVersion":"weksa.interlingua_packet.v1","members":[]}‘¸weksa.interlingua_packet<EFBFBD>•”·packet:64616f2d30333032¸weksa.interlingua_packet´2026-11-09T10:16:16ZÅSž·packet:64616f2d30333032­CorpusExample”¨Authored°item:daodejing:1¸encoder:636c617564652d73ÍX”ÀÀ<EFBFBD><EFBFBD>”¬speech_act:1ÀÀ<EFBFBD>••¢n1¯referent_kind:1©concept:7À<EFBFBD>•¢n2°referent_kind:11©concept:8À<EFBFBD>•¢n3¯referent_kind:3©concept:9À<EFBFBD>•¢n4°referent_kind:11ªconcept:10À<EFBFBD>•¢n5¯referent_kind:3ªconcept:11À<EFBFBD>”•¢n6ªconcept:12§frame:4’’¦role:1¢n1’¦role:2¢n2<EFBFBD>•¢n7ªconcept:13§frame:4’’¦role:1¢n1’¦role:2¢n3<EFBFBD>•¢n8ªconcept:14§frame:4’’¦role:1¢n1’¦role:2¢n4<EFBFBD>•¢n9ªconcept:15§frame:4’’¦role:1¢n1’¦role:2¢n5<EFBFBD><EFBFBD>“<EFBFBD>ÂÀ<EFBFBD>’‘ÙXFour acts of one agent; 'in the exercise of his government' and 'their' are not carried.<EFBFBD>‘‘’ªfeature:18<EFBFBD>¥GradeÍ ”·packet:64616f2d30353032¸weksa.interlingua_packet´2026-11-09T10:16:16ZÅ^ž·packet:64616f2d30353032­CorpusExample”¨Authored°item:daodejing:5¸encoder:636c617564652d73ÍX”ÀÀ<EFBFBD><EFBFBD>”¬speech_act:2ÀÀ<EFBFBD>’•¢n1¯referent_kind:4ªconcept:24À<EFBFBD>•¢n2¯referent_kind:5ªconcept:25À<EFBFBD>‘•¢n3ªconcept:26§frame:8’’¦role:3¢n1’¦role:6¢n2<EFBFBD><EFBFBD>“<EFBFBD>ÂÀ<EFBFBD>’‘ÙRA rhetorical question; the speech act is ask and the negated 'may not' is dropped.<EFBFBD>‘‘’ªfeature:18<EFBFBD>¥GradeÍ ”·packet:64616f2d30373031¸weksa.interlingua_packet´2026-11-09T10:16:16ZÅyž·packet:64616f2d30373031­CorpusExample”¨Authored°item:daodejing:2¸encoder:636c617564652d73ÍX”ÀÀ<EFBFBD><EFBFBD>”¬speech_act:1ÀÀ<EFBFBD>’•¢n1¯referent_kind:4ªconcept:16À<EFBFBD>•¢n2¯referent_kind:4ªconcept:17À<EFBFBD>’•¢n3ªconcept:18§frame:5‘’¦role:3¢n1<EFBFBD>•¢n4ªconcept:19§frame:5‘’¦role:3¢n2<EFBFBD><EFBFBD>“<EFBFBD>ÂÀ<EFBFBD>’‘ÙTHeaven and earth as places; whether they are entities is a ruling the ontology owes.<EFBFBD>‘‘’ªfeature:18<EFBFBD>¥GradeÍ ”·packet:64616f2d30383031¸weksa.interlingua_packet´2026-11-09T10:16:16ZÅwž·packet:64616f2d30383031­CorpusExample”¨Authored°item:daodejing:3¸encoder:636c617564652d73ÍX”ÀÀ<EFBFBD><EFBFBD>”¬speech_act:1ÀÀ<EFBFBD>’•¢n1°referent_kind:11ªconcept:20À<EFBFBD>•¢n2°referent_kind:11ªconcept:21À<EFBFBD>‘•¢n3ªconcept:27§frame:6’’¦role:3¢n1’¦role:6¢n2<EFBFBD><EFBFBD>“<EFBFBD>ÂÀ<EFBFBD>’‘ÙSThe metaphor is a plain likeness predication; the tenor and vehicle are not marked.<EFBFBD>‘’’ªfeature:18<EFBFBD>¥GradeÍ ’ªfeature:16<EFBFBD>¥GradeÍ,”·packet:64616f2d37383034¸weksa.interlingua_packet´2026-11-09T10:16:16ZÅNž·packet:64616f2d37383034­CorpusExample”¨Authored°item:daodejing:4¸encoder:636c617564652d73ÍX”ÀÀ<EFBFBD><EFBFBD>”¬speech_act:1ÀÀ<EFBFBD>‘•¢n1°referent_kind:11ªconcept:22À<EFBFBD>‘•¢n2ªconcept:23§frame:7‘’¦role:3¢n1<EFBFBD><EFBFBD>“<EFBFBD>ÂÀ<EFBFBD>’‘ÙmThe whole paradox is in the referent's concept and the frame; the packet holds no more than the surface does.<EFBFBD>‘‘’ªfeature:18<EFBFBD>¥GradeÍ

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<EFBFBD>

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# Weksa phone inventory, en-US (General American, broad). One phone per line, tab separated:
# ipa <TAB> class <TAB> tenseness <TAB> gloss
# class: consonant | vowel. tenseness: tense | lax | reduced for a vowel, `-` for a consonant. A multi-character
# phone (affricate, diphthong) is one entry and one phone. The segmenter reads only this file: an IPA symbol with no
# line here is refused, never guessed. Tense/lax is the textbook classification; it is what separates /i/ (nee) from
# /ɪ/ (nih).
# Provenance of the i/ɪ rows: /i/ is tense and /ɪ/ is lax. Nibu's own ruling of 2026-11-07 (source
# weksa-body:follow_up:chat-s3981-3983, #minds: tense vowel, two syllables, stress on the first) chose ˈnibu and rejected
# ˈnɪbu; the entity entry records it, this file is what makes the two forms two different phones.
# Stress is not a phone: ˈ and ˌ are read by the segmenter and put on the vowel that follows.
p consonant - voiceless bilabial stop
b consonant - voiced bilabial stop
t consonant - voiceless alveolar stop
d consonant - voiced alveolar stop
k consonant - voiceless velar stop
g consonant - voiced velar stop
f consonant - voiceless labiodental fricative
v consonant - voiced labiodental fricative
θ consonant - voiceless dental fricative
ð consonant - voiced dental fricative
s consonant - voiceless alveolar fricative
z consonant - voiced alveolar fricative
ʃ consonant - voiceless postalveolar fricative
ʒ consonant - voiced postalveolar fricative
h consonant - voiceless glottal fricative
tʃ consonant - voiceless postalveolar affricate
dʒ consonant - voiced postalveolar affricate
m consonant - bilabial nasal
n consonant - alveolar nasal
ŋ consonant - velar nasal
l consonant - alveolar lateral approximant
ɹ consonant - alveolar approximant
j consonant - palatal approximant
w consonant - labial-velar approximant
i vowel tense close front unrounded (fleece, nee)
ɪ vowel lax near-close front unrounded (kit, nih)
ɛ vowel lax open-mid front unrounded (dress)
æ vowel lax near-open front unrounded (trap)
ɑ vowel tense open back unrounded (palm)
ɔ vowel tense open-mid back rounded (thought)
ʊ vowel lax near-close back rounded (foot)
u vowel tense close back rounded (goose, boo)
ʌ vowel lax open-mid back unrounded (strut)
ə vowel reduced schwa
ɚ vowel reduced r-coloured schwa
eɪ vowel tense face diphthong
oʊ vowel tense goat diphthong
aɪ vowel tense price diphthong
aʊ vowel tense mouth diphthong
ɔɪ vowel tense choice diphthong
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{"language":"en-US","source":"ˈnibu","phones":[{"ipa":"n","stress":"none"},{"ipa":"i","stress":"primary"},{"ipa":"b","stress":"none"},{"ipa":"u","stress":"none"}]}

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# Target-Language Cultural Ontology Profiles
These profiles describe culturally loaded realization choices for human target
languages used by Weksa utterance lowering.
They are not whole-culture summaries. They are bounded lowering profiles: the
distinctions a target lowerer must inspect before producing dialogue.
## Authority
Target-language cultural ontology profiles own:
- address and politeness distinctions
- register and social stance pressures
- agency, responsibility, and directness defaults
- idiom and metaphor risks
- script or orthographic choices that carry meaning
- forbidden flattenings that would make the output dishonest
They do not own:
- source meaning
- speaker-private state
- target-language grammar as a whole
- national or cultural stereotypes
- final wording without an interlingua packet
## Current Profiles
- [English, US fixture default](./en-US.yaml)
- [Brazilian Portuguese](./pt-BR.yaml)
- [Brazilian Portuguese overlay catalog](./pt-BR-overlays.yaml)
- [Brazilian Portuguese, Umbanda overlay](./pt-BR-umbanda.yaml)
- [Japanese](./ja-JP.yaml)
Each multilingual lowering fixture should cite the profile or profile stack it
used so reviewers can tell which social and cultural distinctions were
considered. Regional and religious-cultural options are overlays on a base
language profile, not replacements for source meaning.

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profile_id: weksa.target_cultural_ontology.en-US.v0
language:
code: en
locale: en-US
script: Latn
scope: >
Bounded English dialogue lowering profile for current Weksa fixtures. This is
not a claim about all English-speaking cultures.
authority:
owns:
- address directness choices
- casual versus formal register
- technical metaphor legibility
- understatement or sarcasm risk
does_not_own:
- source meaning
- speaker identity
- whole-culture description
salience_axes:
address:
relevant_distinctions:
- direct second person is acceptable when scene context names the addressee
- imperative force can be softened or sharpened through wording
lowering_questions:
- Does direct address preserve the speech act?
- Does softening erase urgency?
register:
relevant_distinctions:
- casual
- technical
- formal
- intimate
- institutional
lowering_questions:
- Is technical language character pressure or exposition sludge?
- Does sarcasm obscure the actual warning?
agency:
relevant_distinctions:
- explicit agent responsibility is usually available
- passive phrasing can hide authority or blame
lowering_questions:
- Should the speaker own the intervention directly?
- Does the line preserve who is at risk?
linguistic_affordances:
grammar_features:
- feature_id: en_us_direct_imperative_warning
label: Direct imperative warning
status: draft
domain:
layer: grammar
category: clause_mood
subcategory: imperative
description: >
Broad en-US allows direct imperatives for urgent safety warnings when
the speaker has standing to intervene and the scene rewards clarity
over mitigation.
formal_conditions:
syntactic_environment:
- main_clause
- direct_address_optional
semantic_inputs:
- warning
- addressee_action_to_stop_or_avoid
- consequence_or_risk_available
required_interlingua_fields:
- speech_act
- addressee
- prohibited_action
realization:
function: stop_or_prevent_action
surface_strategy: bare_imperative_or_do_not_imperative
examples:
- "Don't touch the damaged control."
activation:
allowed_when:
- scene_has_immediate_risk
- speaker_has_contextual_authority_or_care_relation
forbidden_when:
- politeness_softening_is_required_by_target_profile
- imperative_would_falsely_imply_hierarchy
requires_profile_authority: false
minimum_density: light
maximum_density: normal
constraints:
grammar_contexts:
- avoid_if_source_requires_indirect_request
register_contexts:
- casual
- technical
- emergency
speaker_contexts:
- known_addressee
- operator_warning
incompatibilities:
- generic_assistant_over_politeness
indexicality:
social_meanings:
- urgency
- clarity
- responsibility
in_group_meanings: []
out_group_risks:
- may sound abrupt if the scene is not urgent
stereotypes_to_avoid: []
evidence:
source_refs:
- schemas/cultural-ontology-profile.md
qdrant_source_ids: []
cached_source_refs: []
source_hashes: []
reviewer_refs: []
confidence: medium
uncertainty:
open_questions:
- Should a later en-US regional overlay override imperative force?
known_limits:
- Base en-US does not model regional, racialized, or contact-language
dialect grammar.
trace:
trace_label: direct_imperative_warning
must_report_when_used: true
must_report_when_rejected: true
phonology_features: []
lexicon_features: []
discourse_patterns: []
orthography_features: []
code_switching:
allowed: false
constraints:
- Base en-US profile does not authorize contact-language switching.
patterns: []
forbidden_flattenings:
- Do not treat English as the neutral source for other target languages.
- Do not use generic assistant politeness when a character voice is required.
- Do not let sarcasm replace the actual predicate being lowered.

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@ -1,70 +0,0 @@
profile_id: weksa.target_cultural_ontology.ja-JP.v0
language:
code: ja
locale: ja-JP
script: Jpan
scope: >
Bounded Japanese dialogue lowering profile for Weksa fixtures. This profile
records realization distinctions that must be inspected; it is not a total
description of Japanese culture.
authority:
owns:
- politeness and honorific pressure
- in-group/out-group stance when context supplies it
- subject and object omission choices
- script mix and technical register
- sentence-final force
does_not_own:
- source meaning
- character identity
- exhaustive Japanese grammar
salience_axes:
politeness:
relevant_distinctions:
- plain
- polite
- honorific
- humble
- rough
lowering_questions:
- Does politeness preserve the relationship, or does it lie about it?
- Is roughness character-specific or generic stylization?
social_position:
relevant_distinctions:
- uchi_soto_pressure
- hierarchy
- familiarity
- emergency_override
lowering_questions:
- Does urgency override ordinary deference?
- Does the line imply a relationship the scene has not earned?
ellipsis:
relevant_distinctions:
- subject omission
- object omission
- explicit pronoun for emphasis or contrast
lowering_questions:
- Is the addressee recoverable without an explicit pronoun?
- Would explicit pronouns sound unnatural or too pointed?
script_and_register:
relevant_distinctions:
- kanji for technical compounds
- kana for softness or readability
- katakana for foreignness, machine texture, or emphasis
lowering_questions:
- Does the script choice help the speaker voice?
- Does a technical compound preserve precision without becoming stiff?
sentence_final_force:
relevant_distinctions:
- direct request
- warning consequence
- command
- threat-like phrasing
lowering_questions:
- Does the ending carry warning force without cartoon aggression?
- Does the line preserve the hazard predicate?
forbidden_flattenings:
- Do not treat politeness as decoration.
- Do not use explicit pronouns just because English has them.
- Do not make every sharp line rough or anime-coded.
- Do not erase the difference between technical precision and formal politeness.

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@ -1,76 +0,0 @@
catalog_id: weksa.target_cultural_ontology.pt-BR.overlays.v0
base_profile: data/target-language-ontology/pt-BR.yaml
scope: >
Catalog of optional Brazilian Portuguese regional and cultural overlay slots.
An overlay slot is not permission to imitate a community. It is a named place
where reviewed, source-grounded distinctions can live.
activation_rule: >
Use the broad pt-BR profile by default. Add an overlay only when source
context, speaker state, setting documentation, or authoring metadata names the
relevant region, community, institution, religion, or register.
overlay_slots:
- overlay_id: broad_brazilian_default
status: active_base_mode
profile_ref: data/target-language-ontology/pt-BR.yaml
owns:
- broadly legible Brazilian Portuguese dialogue
does_not_own:
- regional specificity
- religious-cultural specificity
- overlay_id: rio_urban
status: planned_profile
profile_ref:
owns_when_defined:
- Rio de Janeiro urban speech/register pressures for specific characters or settings
blocked_until:
- reviewed source context
- human-approved examples
- overlay_id: sao_paulo_urban
status: planned_profile
profile_ref:
owns_when_defined:
- Sao Paulo urban speech/register pressures for specific characters or settings
blocked_until:
- reviewed source context
- human-approved examples
- overlay_id: northeast_regional
status: planned_profile
profile_ref:
owns_when_defined:
- Northeast Brazilian regional speech/register pressures for specific characters or settings
blocked_until:
- specific region named
- reviewed examples
- human approval
- overlay_id: south_regional
status: planned_profile
profile_ref:
owns_when_defined:
- South Brazilian regional speech/register pressures for specific characters or settings
blocked_until:
- specific region named
- reviewed examples
- human approval
- overlay_id: amazonian_regional
status: planned_profile
profile_ref:
owns_when_defined:
- Amazonian regional speech/register pressures for specific characters or settings
blocked_until:
- specific region or community named
- reviewed examples
- human approval
- overlay_id: umbanda
status: active_guarded_overlay
profile_ref: data/target-language-ontology/pt-BR-umbanda.yaml
owns:
- Umbanda-related register gating
- sacred address caution
- anti-caricature constraints
blocked_until:
- source context or authoring metadata explicitly activates Umbanda context
forbidden_flattenings:
- Do not use a planned overlay as if it were defined.
- Do not treat regional slots as accent generators.
- Do not use religious-cultural overlays for ambience.
- Do not collapse race, region, religion, class, and slang into one Brazilian flavor.

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@ -1,72 +0,0 @@
profile_id: weksa.target_cultural_ontology.pt-BR.umbanda.v0
language:
code: pt
locale: pt-BR
script: Latn
overlay:
base_profile: data/target-language-ontology/pt-BR.yaml
kind: religious_cultural_register
scope: >
Optional Brazilian Portuguese cultural ontology overlay for Umbanda-related
scenes, speakers, ritual contexts, or referents. This profile is a consent and
context gate, not a decorative vocabulary pack.
authority:
owns:
- whether Umbanda-specific register is allowed for a realization
- sacred or ritual address caution
- house/tradition specificity warnings
- syncretic and entity-reference sensitivity
- anti-caricature constraints
does_not_own:
- Umbanda doctrine as a whole
- authority to invent ritual speech
- generic Brazilian Portuguese
- speaker identity unless the speaker context explicitly supplies it
activation_requirements:
any_required:
- source context names an Umbanda scene, terreiro, practitioner, entity, ritual, or discourse community
- speaker profile explicitly owns an Umbanda-informed voice or memory
- authoring metadata requests this overlay for reviewed cultural grounding
never_activate_for:
- generic Brazilian flavor
- jokes, insults, mystic ambience, or unexplained exotic texture
- non-Umbanda religious scenes unless the source context makes a syncretic relation explicit
salience_axes:
sacred_address:
relevant_distinctions:
- ordinary dialogue
- respectful reference
- ritual address
- entity_or_guide_reference
lowering_questions:
- Is the line ordinary speech or ritualized speech?
- Does the speaker have standing to use sacred address?
- Should a term be left general until a human reviewer approves specificity?
house_specificity:
relevant_distinctions:
- practices and terms can vary by house, region, and lineage
- generic flattening can become false authority
lowering_questions:
- Is the output pretending one practice represents all Umbanda?
- Should the trace mark the choice as house-specific or uncertain?
syncretic_reference:
relevant_distinctions:
- Catholic, African, Indigenous, Spiritist, and local references may coexist differently by context
- entity names and roles are not interchangeable decoration
lowering_questions:
- Does the source actually contain the syncretic relation?
- Does the line preserve respect without overexplaining?
anti_caricature:
relevant_distinctions:
- religious register
- folkloric stereotype
- occult ambience
lowering_questions:
- Is the output using Umbanda as culture, faith, and practice rather than spooky texture?
- Would a practitioner recognize this as respectful enough for review?
forbidden_flattenings:
- Do not use Umbanda terms as generic magic flavor.
- Do not invent ritual formulas.
- Do not collapse Umbanda into Candomblé, Spiritism, Catholicism, or generic Afro-Brazilian religion.
- Do not imply all Brazilian Portuguese religious language is Umbanda-coded.
- Do not activate this overlay unless source context or authoring metadata explicitly asks for it.

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@ -1,74 +0,0 @@
profile_id: weksa.target_cultural_ontology.pt-BR.v0
language:
code: pt
locale: pt-BR
script: Latn
scope: >
Bounded Brazilian Portuguese dialogue lowering profile. This profile is the
base Brazilian Portuguese target; regional, class, religious, and community
registers should be added as explicit overlays rather than silently folded
into generic pt-BR.
authority:
owns:
- Brazilian Portuguese lexical preference
- treatment and address choices
- directness versus mitigation
- regional_or_cultural_overlay_selection
- idiom naturalness for reviewed fixture prose
does_not_own:
- source meaning
- Brazilian culture as a whole
- regional or religious-community authority without an explicit overlay
- target speaker identity
salience_axes:
treatment:
relevant_distinctions:
- voce
- tu_regionally_marked
- o_senhor_a_senhora
- name_or_title_address
lowering_questions:
- Is the relationship close, hostile, hierarchical, unknown, or sacred?
- Does `voce` preserve broad Brazilian naturalness better than `tu`?
- Is `tu` regionally grounded or just imported flavor?
directness:
relevant_distinctions:
- bare imperative
- softened imperative
- warning framed as consequence
- formal warning
lowering_questions:
- Does urgency justify blunt imperative force?
- Would mitigation make the warning dishonest?
lexical_locale:
relevant_distinctions:
- Brazilian Portuguese terms should be preferred in reviewed pt-BR fixtures
- European Portuguese defaults must be marked if intentionally used
lowering_questions:
- Is a term recognizably Brazilian Portuguese in this context?
- Is a literal technical word natural enough for dialogue?
regional_and_cultural_overlay:
relevant_distinctions:
- broad_brazilian_default
- regional_speech_pattern
- class_or_institutional_register
- religious_or_ritual_register
- community_specific_lexicon
lowering_questions:
- Does the source context justify an overlay?
- Is the overlay owned by a named profile?
- Would applying the overlay stereotype the speaker or setting?
metaphor:
relevant_distinctions:
- technical metaphors can preserve character ontology
- over-literal metaphors may sound translated rather than spoken
lowering_questions:
- Does the metaphor still sound like the speaker?
- Does it preserve the warning instead of becoming decorative?
forbidden_flattenings:
- Do not label output as Portuguese without a locale in reviewed fixtures.
- Do not default to European Portuguese wording when the target is pt-BR.
- Do not treat Brazilian Portuguese as one culture, region, class, or religion.
- Do not add regional or religious markers without a cited overlay profile and source-context reason.
- Do not soften a warning merely because directness feels impolite in English review.
overlay_catalog: data/target-language-ontology/pt-BR-overlays.yaml

120
docs/calibration.md Normal file
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@ -0,0 +1,120 @@
# Calibrating the accept rule
`weksa loop calibrate` measures how the live accept rule behaves on a run's own
Validation corpus: how often it accepts, rejects as no gain, or regresses a
candidate that should be none of those. It does not reimplement the rule. It
reads the answered draws through `RunStores::read_draws` (the scoring
`weksa loop relower` uses), decides every trial with `decide_panel` over
`paired_floor` (`crates/weksa/src/run.rs`), and prints, per class, the items
read and skipped per language, the trial totals with their Accepted, NoGain and
Regressed counts, and the mean panel noise. That is all it produces: the
Accepted/NoGain/Regressed counts and the noise mean in the map's "Recalibration
on the grown corpus" block are reproduced by it, and the prompted trials are
also printed split by the recorded lowering `R`'s role (`prompted-r-candidate`,
`prompted-r-base`, `prompted-r-free`, see below), the candidate counts per arm
and the mild arms' composite offsets from the prompted mean (see below); the
other figures there (the
35% with R removed, the noise range, the 0.0185 gain and its 0.41 ratio, the
bootstrap intervals, the per-item SDs, R's +0.024, the mild-arm duplicate
counts, the Train-vocabulary overlap, the old/new
class composites and the ten parse-refused item ids) were computed by scratch scripts that are not in the repo. It is a
diagnostic: it records nothing, writes no prompts, and never touches Test or
Train.
## What it counts
The draws are lowerings of one round's Validation packets: the round's own
(recorded) lowering `R`, plus draws you label. `P` is `R` and the `--prompted`
draws; the floor size is `FLOOR_ARMS_MIN` (3), the live rule's.
- Prompted trials: every ordered pair (base, candidate) in `P`, against every
3-subset of the rest of `P` as the floor. A repeat of the same lowering
should read NoGain; Accepted is a false accept, Regressed a false reject.
(`R` comes from the round, not from `relower`, so it may not be
exchangeable with a repeat.) The prompted line is therefore printed three
more times, by `R`'s role in the trial: `prompted-r-candidate` (`R` is the
candidate), `prompted-r-base` (`R` is the base) and `prompted-r-free` (`R` is
neither; it may sit in the floor). The three sum to the prompted line. Read the Accepted
and Regressed columns of each line: a false accept sits mostly under the
first and a false reject under the second, but `R`-as-candidate trials can
Regress too (class `old` on `growth-scene`: 5 of its 15). The third
is the exchangeable rate: on `growth-scene` it was 0 Accepted and 0 Regressed
of 80 while all 11 false accepts and 9 false rejects involved `R`. Which of
the two rates the live rule should be held to is undecided: the live loop
meets `R` as the head's establishing lowering.
- Degraded trials, per `--degraded` arm: every base in `P` against every
3-subset of the rest of `P`, the degraded draw as the candidate. These should
read Regressed.
- Candidate trials, pooled over the `--candidate` arms: the same, tallied
Accepted, NoGain, Regressed. This is the rule's power against that arm. The
pooled line is followed by one `candidate=LABEL` line per arm: arms of one
kind can differ completely (Train-guide h1 and h2 Regressed in every trial
while h3 and h4 gained), and then the pooled figure is not a power.
- Mild offset: each `degraded=LABEL` line ends with `offset LANGUAGE=+x.xxxx`, the
arm's composite minus the mean composite of the prompted draws (`R` included),
per language over the items read. A degraded arm that is barely below the
prompted mean is a weak probe of the rule's sensitivity.
- Noise: the mean `panel_noise` over every (base, floor) choice.
With six prompted draws including `R` that is 120 prompted trials, 60 per
degraded arm and 240 candidate trials. Trials share draws and are not
independent. Each count is printed for `all` Validation items and for each
`--class NAME=PREFIX[,PREFIX...]` (items whose key starts with any prefix), from
the same per-item scores. A class with fewer than two read items in a language
has no floor and reads Regressed in every trial; that is printed.
## Steps
1. `weksa loop open ROOT ...` and `weksa loop round ROOT` record round N and
leave its answers in `ROOT/round-N/`.
2. For each draw label: `weksa loop relower ROOT --round N --arm LABEL
--lowerer NAME` writes the byte-identical lowering prompts to
`ROOT/relower-N-LABEL/<digest>.prompt` and exits 3. Answer each prompt into
`ROOT/relower-N-LABEL/<digest>.answer`.
3. `weksa loop calibrate ROOT --round N --prompted p1 --prompted p2 ...
[--degraded LABEL]... [--candidate LABEL]... [--class NAME=PREFIX]...`.
At least four `--prompted` labels are needed (a pair and three floors with
`R` make five draws). It exits 1 and lists `unanswered LABEL COUNT` for any
draw with prompts still unanswered. Labels match `[a-z0-9-]{1,32}` and differ
across the three kinds. It needs the Ollama embedder of the run; a full
60-item, 13-draw calibration is on the order of 1500 embedded texts, so
launch it detached with a log.
The scratch packet store is `ROOT/calibrate-N/base.cc`; delete it at will.
## Answer file format
`<digest>.answer` is one JSON object and nothing else, no code fence:
`{"text": "..."}`, a JSON-escaped string. The answerer reads only the prompt
(its first line says what to write) and writes the answer. Every prompt of the
draw must be answered.
## Briefs per arm
Independence rule: a fresh agent per batch of answers; no batch sees another
draw's answers. Only `mild` reads `round-N/*.answer`.
- Plain prompted: answer each prompt as its own first line asks; read nothing
else in the run root.
- Mild: for each prompt, read the recorded lowering in
`ROOT/round-N/<digest>.answer` and write the same-format answer whose text is
that utterance with exactly one meaning detail blurred: change or drop one of
tense, polarity, modality or hedge, a referent, a quantity or a predicate's
concept (replace it with a near but different word). Keep language, register,
length and fluency; the result must read as a natural utterance and must not
mention the change. Pick the detail that is not the most salient one. A
second mild draw blurs a different detail than the first and is written
without reading the first's answers. The wording of the distil-base original
is lost, and the dispatch used for growth-base is not on disk, so this is the
wording from now on. Warning: on growth-base two mild arms briefed this way
came out identical in 27 of 60 items, so independently briefed mild arms
are not independent degradations; read a mild draw's regress count with that
in mind.
- Train-guide: before answering, read the Train sentences of the corpus in the
batch's language as a register guide and let it steer word choice; the guide
gives phrasing only and each answer must still say exactly what its own packet
says. The guide section is the live Train items of that language, built from
`weksa corpus dump` filtered to Train, and is given to the answerer in the
brief, never pasted into this document, and never includes Validation or Test
text. Read nothing else in the run root.
- Control: a script writes `{"text":"Yes."}` as the answer to every prompt.

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@ -369,6 +369,12 @@ target. A Qdrant nearest neighbor is a witness candidate, not a cultural fact.
\section{Proposed CultCache State Shape}
No profile store exists. The per-language lowering choices live in
\texttt{data/ontology/ontology.cc}; the typed profiles once stored under
\texttt{.weksa/cultural-ontology/} and the \texttt{weksa.target\_cultural\_ontology.*}
base profiles named in the listing and sketches below are deleted. Community and dialect
profiles belong to follow-up \texttt{language-ontology-communities}.
The following shape should become a typed CultCache document family:
\texttt{weksa.cultural\_ontology\_profile.v0}. It can represent base languages,
dialects, sociolects, regional overlays, ritual registers, and communities of
@ -612,15 +618,6 @@ feature requires speaker authority, whether it can be rendered in text or only
speech synthesis, which source hashes support it, and what must be reported if
the feature is rejected.
Recommended CultCache paths:
\begin{lstlisting}[basicstyle=\ttfamily\small]
.weksa/cultural-ontology/{profileId}.cc
.weksa/cultural-ontology/{baseProfileId}/overlays/{overlayId}.cc
.weksa/cultural-ontology/catalogs/{catalogId}.cc
.weksa/cultural-ontology/evidence-bundles/{bundleId}.cc
\end{lstlisting}
\section{Dialect Profile Sketches}
\subsection{AAVE/AAL}

View file

@ -120,7 +120,7 @@ Packet
id, schema_version, inventory_rev, kind
provenance { source, corpus_item, encoder, confidence }
context { setting, medium, participants, audience }
discourse { speech_act, addressee, features }
discourse { speech_act, addressee, addressee_consent, features }
referents [ { id, kind, concept, entity, features } ]
predications [ { id, concept, frame, roles: [ { role, filler } ], features } ]
relations [ { relation, from, to, features } ]
@ -144,8 +144,8 @@ names the rule.
- V1: `schema_version` is the version these types define.
- V2: at least one of `referents`, `predications`, `relations` is present.
- V3: a node id appears once across referents and predications.
- V4: every role filler, relation end, addressee, participant, audience member
and preserved node names a node.
- V4: every role filler, relation end, addressee, addressee consent,
participant, audience member and preserved node names a node.
- V5: every inventory id resolves at the packet's `inventory_rev`: introduced
at or before it, and not retired at or before it.
- V6: an inventory id is of the family its slot takes.
@ -159,6 +159,11 @@ names the rule.
predication's roles.
- V12: a packet has at most 64 referents, predications and relations together
(a calibration constant, capacity and not meaning).
- V14: an `addressee_consent` needs an `addressee` and names a predication.
- V15: an `addressee_consent` is set only by provenance `Authored` or
`GameTelemetry`; a decomposition of text or imported corpus text cannot mint
it.
- V17: an `addressee` names a referent, not a predication.
V9 is retired and not renumbered: the form of a key or a grade is its type, and
an extension key's family is V6. `PacketStore::admit` returns the lowering view of a
@ -186,10 +191,15 @@ ids.
### `discourse`
Why the packet is said: `speech_act` is a speech-act id, `addressee` a node id,
Why the packet is said: `speech_act` is a speech-act id, `addressee` a referent's node id (V17),
and `features` carry source-side nuance on content (hedge, certainty, irony and
whatever the inventory grows). This is source-side communicative pressure, not
target-language register.
target-language register. `addressee_consent` is no feature: it names the
predication the addressee asked for or agreed to, a fact about what the
addressee did. The English lowerer's request row (`frame:3`, "{agent} asked
{patient} to stop") reads it: the consent must name that predication and its
agent must be the addressee, else `ConsentMissing` or `AskerNotAddressee`. A
consent naming any other predication is refused as unrendered.
### `stance`
@ -204,6 +214,29 @@ affect and restraint to its own register. A held-back feeling is not a claim
about the world, so it is never a predication. An empty stance is valid. The
stance reaches the lowerer in the lowering view.
### Speaker and scene documents
Two documents outside the packet hold the speaker's standing, in the store that
owns them (`SpeakerStateStore`). `weksa.speaker` (key `speaker:<entity slug>@<n>`)
holds one entity's stable axes as feature values of slot `Speaker`.
`weksa.scene` (key `scene:<group>@<n>`) holds a corpus group's participants and,
per ordered pair, the speaker's relation to a party (slot `Scene`); the party is
a named participant or `Party::Unnamed`, an addressee the scene does not name,
such as the player or a crowd. A revision appends and never edits: `n` is the
latest plus one, and the latest revision is the highest `n`. Each carries an
`Annotator`, `Operator` or `Model` with an attestation string for its generator.
Both hold typed feature values only, never text. A feature of slot `Stance`,
`Speaker` or `Scene` sits in that slot alone (each layer has one writer and one
lifetime), which `admit_revision` enforces. `LoweringInput::with_scene` takes the
speaker-state and corpus stores and names neither speaker nor scene: the view knows its corpus item, so
the speaker is the item's speaker and the scene is the store's latest for the
item's group. The scene must list the item's speaker and the speaker of every live item of the
group (V16; `Scene::uncovered`, the rule `put_scene` applies too, so a scene a
later corpus item outgrew is refused at the read), and the relation
selected is the speaker's to the entity of the addressee referent (to
`Unnamed` when that referent has no entity, to nothing when the packet has no
addressee or the scene holds no such relation). V13 is retired.
### `referents`
Entities, groups, places, abstractions and the rest. `kind` is a referent-kind
@ -219,6 +252,10 @@ pair a role id with a filler node (the inventory seeds `agent`, `patient`,
aspect, polarity, modality and evidentiality are features with declared option
sets, not fields.
A predication holds each role once (V11). Coordinated fillers ("A and B") are
one `group` referent filling the role, each member related to it by `member_of`,
from the member to the group.
### `relations`
Edges not owned by one predication. `relation` is a relation id (the inventory

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@ -58,7 +58,7 @@ The utterance lowerer does not own:
- rendered audio
- phoneme parity or synth-control truth
The target-language cultural ontology profile owns:
The target-language cultural ontology profile was drafted to own the following; no such profile store exists now (address, politeness and register belong to speaker and scene state, and `data/ontology/ontology.cc` holds per-language lexicon, grammar and discourse choices):
- address, politeness, register, and social stance distinctions
- idiom and metaphor risks
@ -76,8 +76,8 @@ English remains a lowering target, not the pivot language. Existing flavored
English fixtures continue to be useful, but new multilingual fixtures should
show English as one realization in a set.
The initial cultural ontology profile is
`data/target-language-ontology/en-US.yaml`.
The en-US choices are the `en-US` entries of `data/ontology/ontology.cc`
(model-drafted seeds; read with `weksa ontology dump`).
### Brazilian Portuguese
@ -94,16 +94,10 @@ The target lowerer should record:
defaults
- optional regional or cultural overlays when the source context earns them
The initial cultural ontology profile is
`data/target-language-ontology/pt-BR.yaml`.
Umbanda-related scenes, speakers, ritual contexts, or referents may add the
`data/target-language-ontology/pt-BR-umbanda.yaml` overlay. That overlay must
not activate for generic Brazilian flavor.
Regional or cultural variants should be selected through the overlay catalog at
`data/target-language-ontology/pt-BR-overlays.yaml`. Planned overlay slots are
not active profiles until reviewed examples and source context exist.
No pt-BR ontology entry exists yet; the cut that adds pt-BR writes them to
`data/ontology/ontology.cc`. Umbanda-related scenes, speakers, ritual contexts,
or referents may later earn a regional or cultural variant, which must not
activate for generic Brazilian flavor.
### Japanese
@ -119,8 +113,8 @@ The target lowerer should record:
- whether subject omission preserves or harms clarity
- whether katakana, kanji, kana, or mixed script choices carry useful pressure
The initial cultural ontology profile is
`data/target-language-ontology/ja-JP.yaml`.
The ja-JP choices are the `ja-JP` entries of `data/ontology/ontology.cc`
(model-drafted seeds; read with `weksa ontology dump`).
## Packet Shape

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@ -0,0 +1,52 @@
# Name-span annotation
How the name spans of an imported public-domain work are placed. A span has a
committed rule that produced it; this file is that rule.
## Why
- `pd-annotation-model-then-attest`: a labelled model places the spans of a
public-domain work; the operator may attest them afterwards.
- `leak-owned-by-flow-and-scorer-3`: spans are fixed with the text at intake and
written by no loop writer. The offsets are derived from markup the annotator
writes, never typed by a model (inline marking, as in GPT-NER, Wang et al.
2023); `CorpusStore::add` judges range, grapheme boundary, form equality and
overlap.
The work file (`weksa corpus import <work>`) is a transcription of a work in
hand: provenance, cast forms, lines, scene groups and the speaker each speech
prefix names. It holds no distributor header, licence or trademark text, and the
binary fetches nothing.
## Rubric r1
You are given a work's cast: each member's entity id and the forms the work spells that member with. For each numbered line, copy the line exactly, character for character, and wrap each place where the line names a cast member by one of that member's listed forms as [[<entity id>|<form>]]. Mark a form only where it refers to that cast member; a listed form used as an ordinary word, or naming someone else, stays unmarked. Do not mark pronouns, titles or descriptions unless the exact text is a listed form. When a form is listed for two members, mark the one the line refers to; when you cannot tell, leave it unmarked. Answer one JSON line per input line, in the order given, and nothing else: {"line": N, "marked": "..."}.
## Procedure
- One fresh model agent per work. Its brief is rubric r1, the cast as
`<entity id>: <form>, <form>` lines and the work's lines as `<n><TAB><text>`;
nothing else (no store, no loop, no other answer).
- Import with `--model-family` and `--generator '<annotator model id> (name-span
rubric r1, docs/name-span-annotation.md)'`. An operator-written or
operator-reviewed answer imports with `--operator`.
- Import is all or nothing: every entity and item passes the real store doors on
scratch copies before the first write, so a refusal (a parse failure, a span
the store judges, a work that repeats a line under case or width folding)
leaves the stores untouched. Re-draw the whole answer once, log it, and import
again. A work file repeating a line's text is refused naming both lines; leave
that line out of the answer file (the rest imports with its numbering intact),
since a repeated line cannot be two corpus items.
- A line the answer does not cover is not imported by that run; a later run over
other lines of the work does not collide (keys are `item:<slug>:<n>`).
- A line whose own text holds `[[` or `]]` cannot be marked and is refused; it
can still enter by hand through `weksa corpus add --name`.
## Label scope
`names_by` labels the spans only, not the line or its speaker. One label per
item: a later attestation would be a superseding item with the same text and
group, but no command writes one yet; question `pd-name-span-attestation` owns
that door.
`None` means unrecorded (the cast seeds, `weksa corpus add`, the Dao De Jing
bed), not attested.

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# Prior art and plan
Meta asked (#weksa, 2026-11-13) for scaffolding to stand on instead of
building from base principles. This is a survey of what exists and a plan that
borrows it. Every source below was read in full text unless marked **snippet**
(seen only in a search result) or **not read**. Research only: nothing here is
built, and no new loop machinery is proposed.
## What exists
**Semantic backbones: none carries the part we care about.**
- AMR ([Banarescu 2013](https://aclanthology.org/W13-2322.pdf)): no politeness,
speech-act or pragmatics text at all; it also does not distinguish real from
hypothetical events (its Section 4).
- UMR ([Van Gysel 2021](https://par.nsf.gov/servlets/purl/10288269)): adds
document-level coreference, temporal and modal-dependency graphs. The paper
has no politeness, addressee or register layer; the only speaker-like object
is the author node. Annotation agreement was still "awaiting confirmation".
- Universal Dependencies: the `Polite` feature has four values (`Infm`, `Form`,
`Elev`, `Humb`; [feature page](https://universaldependencies.org/u/feat/Polite.html)),
but the Japanese GSD treebank carries no `Polite`
([treebank page](https://universaldependencies.org/treebanks/ja_gsd/index.html)).
The page says Japanese *teineigo* shares the value `Form` with formal register
although it is a different axis. UD is a parse scheme, not a meaning scheme.
- Grammatical Framework RGL: 38 languages, Japanese present
([synopsis](https://www.grammaticalframework.org/lib/doc/synopsis/index.html),
[status](https://www.grammaticalframework.org/lib/doc/status.html)); the source
declares `Style = Plain | Resp`, so two politeness levels and no honorific
paradigm
([ResJpn.gf](https://raw.githubusercontent.com/GrammaticalFramework/gf-rgl/master/src/japanese/ResJpn.gf)).
LGPL/BSD, application grammars may take any licence
([LICENSE](https://raw.githubusercontent.com/GrammaticalFramework/gf-rgl/master/LICENSE)).
- Abstract Wikipedia / Wikifunctions: encyclopedic content, 2026 soft launch in
three languages, no politeness
([Meta page](https://meta.wikimedia.org/wiki/Abstract_Wikipedia)). The
Wikifunctions NLG and Japanese documentation were **not read**.
**Typology.**
- WALS (CC BY 4.0, CLDF at <https://github.com/cldf-datasets/wals>): the only
politeness feature is 45A, pronoun politeness
([chapter](https://wals.info/chapter/45)); Japanese is coded value 4 ([datapoint](https://wals.info/valuesets/45A-jpn)), pronoun
avoidance. No feature for verbal honorifics or register.
- Grambank (CC BY 4.0, <https://github.com/grambank/grambank>): GB415 is the
second-person politeness distinction; I found no verbal-honorific feature
(loose name match, not exhaustive). The 195-feature / 2,467-variety size is
**snippet**; Japanese's GB415 value was **not looked up**.
**Formality control in MT: the closest prior art, and it is a sentence-level
label.**
- [Sennrich 2016](https://aclanthology.org/N16-1005.pdf): a side-constraint
token controls T/V; forced-polite output was 96% polite or neutral.
- [Feely 2019](https://aclanthology.org/D19-5203.pdf): the same for EN-JA with
three levels (informal, polite, formal); labels by rule plus a fastText
classifier (F1 0.83-0.86 on 150 hand-labelled sentences); formal text is only
0.7-1.6% of training data.
- [CoCoA-MT](https://arxiv.org/pdf/2205.04022) (CDLA-Sharing-1.0, repo
<https://github.com/amazon-science/contrastive-controlled-mt>): 1,000 train and
600 test segments for Japanese with contrastive formal/informal references and
phrase-level markers. Two baseline systems' EN-JA outputs, labelled by
professionals, came out formal 29.0% / 73.8% and "other" about 20-24%; EN-JA
inter-annotator agreement 0.82, the lowest of the six languages.
- [Marrese-Taylor 2023](https://aclanthology.org/2023.wmt-1.49.pdf): GPT-3 and
ChatGPT prompted reach about 90% formality-control accuracy on EN-JA, which
the authors say beats fine-tuned MT; classifier and data at
<https://github.com/epochx/japanese-formality> (no licence reported).
- [IWSLT 2023 formality track](https://aclanthology.org/2023.iwslt-1.1.pdf): no
Japanese; metrics matched-accuracy (phrase markers) and classifier-accuracy.
Niu 2017 is read ([D17-1299](https://aclanthology.org/D17-1299.pdf)); Niu 2019
and Rippeth 2022 (arXiv 2205.06644, abstract only) are **not read**.
- None of these takes a speaker-state or addressee relation. The label is one
bit or three levels attached to a source sentence.
**Grammar-in-context (for conlang targets).**
- [MTOB](https://arxiv.org/pdf/2309.16575) (MIT code, CC BY 4.0 grammar book):
Claude 2 with word list plus retrieved sentences plus long grammar 44.7 / 45.8
chrF against a human learner at 51.6 / 57.0.
- [Aycock 2025](https://arxiv.org/pdf/2409.19151): most of the gain comes
from the book's parallel examples (Gemini-1.5-Flash eng->kgv chrF++ 30.8 with
examples only against 34.4 whole book and 11.0 zero-shot; explanations alone
22.6). Kalamang is a natural language, so transfer to a conlang is assumed.
- [Gemini 1.5 report](https://arxiv.org/pdf/2403.05530): full book 5.46 against a
human learner's 5.52 on a 0-6 human scale.
Suggests, for a conlang target (assumed to transfer), worked paired examples first and grammar
prose second.
**Prompt optimisation and evaluation.**
- [DSPy](https://arxiv.org/pdf/2310.03714) (MIT), [MIPRO](https://arxiv.org/pdf/2406.11695),
[OPRO](https://arxiv.org/pdf/2309.03409) (Apache-2.0): DSPy compiles take
"10-20 trials over 150-300 validation examples"; MIPRO's task sets run from 75
train (Iris) to 500 per task. MIPRO found bootstrapped demos gave the biggest
gain and tests with Wilcoxon over 5 runs. OPRO discusses overfitting to the
training set.
- [Koehn 2004](https://aclanthology.org/W04-3250.pdf): paired bootstrap;
against a 30,000-sentence reference, a 2.0-point BLEU gap was detected at 95%
significance in 31% of runs at n=100 and 65% at n=300; a 5.1-point gap in 97%
at n=100. The paper suggests n=100 might be too small.
- [Dror 2018](https://aclanthology.org/P18-1128.pdf): paired bootstrap is
"less effective for small test sets"; approximate randomization has been used
for test sets above 20 points; only 3 of 110 surveyed ACL 2017 papers
corrected for multiple comparisons.
- [Kocmi 2021](https://arxiv.org/pdf/2107.10821): pairwise accuracy against
humans COMET 83.4, BLEURT 80.0, chrF 75.6, BLEU 74.6; recommends COMET
primary, a string metric secondary and a paired test; observes "a slight drop
in metric ranks for some pretrained metric" against ChrF for non-Latin and
logogram targets and says more analysis would be required.
- [chrF](https://aclanthology.org/W15-3049.pdf): validated on seven targets, Japanese
not among them.
## What we borrow
| Need | Borrow | Instead of |
|---|---|---|
| Politeness vocabulary for the packet's register field | UD `Polite` values (Infm, Form, Elev, Humb) as the label set, and Feely's three-level Japanese split | inventing level names |
| Modal/author structure | UMR's conceiver and modal-dependency idea for evidence/stance fields | a bespoke modality scheme |
| Japanese test of register | CoCoA-MT JA set (600 contrastive test segments, phrase markers), KeiCO for relation-labelled Japanese, and the Japanese-formality classifier | hand-written register references only |
| Conlang scaffolding | MTOB recipe: worked paired examples first, word list, grammar prose after (shown on Kalamang, a natural language; transfer to a conlang is an assumption) | long grammar prompts alone |
| Typology priors | WALS 45A and Grambank GB415 to seed which targets have a politeness axis | per-language guesses |
| Significance | paired approximate randomization over items; chrF with an embedding metric | reading small differences as results |
| Optimiser | DSPy/MIPRO only once a scoring set of at least 75 items exists (MIPRO's smallest task), more for stable compiles; the 35-item sets are below that | the golf loop growing a private optimiser |
We do not adopt AMR, UMR, UD or GF as the packet. None represents the speaker's
relation to the addressee, which the packet's scene state does. The packet stays
ours; it borrows vocabulary.
## What is actually new
Prior work already conditions honorific choice on the speaker-addressee
relation or status in narrower forms: KeiCO (Liu and Kobayashi 2022, 10,007
examples, annotates the speaker-listener social relationship; read through
Marrese-Taylor 2023 and the abstract), Korean context-aware NMT that infers the
relation from surrounding sentences
([MDPI](https://www.mdpi.com/2079-9292/10/13/1589), snippet), Brown-Levinson
generation that takes power and distance as parameters (Walker et al., not
read), and a 2026 translator given a known addressee
([Cihlar et al.](https://aclanthology.org/2026.iaai-1.3), snippet only). What I
did not find is the whole chain: persona state (status, restraint, stance) to a
register decision for an LLM lowerer, measured against a prompted baseline.
That is the claim, and it is relative to what I searched; closer work may
exist.
Uncontrolled commercial MT left 20-24% of EN-JA outputs inconsistent in
register (CoCoA-MT Table 4, two generic systems, no formality instruction). That
shows register is unstable without control, not how a prompted LLM behaves.
## Smallest end-to-end slice
One path, existing machinery, ja-JP only, no new loop:
1. A packet with scene state (speaker, addressee, relation) goes through the
current `weksa loop` encode and lowering to Japanese.
2. The same packet under two relations (to a superior and to an intimate) must
produce the two UD `Polite` levels; check with the Japanese formality
classifier plus a native-reader pass on the 35-item Validation corpus per
language (see the map's recalibration blocks).
3. Score the register decision as a classification (matched accuracy), not only
chrF. CoCoA-MT's JA references give an outside check on the classifier, a
weak one: its reference-based segment classifier on EN-JA had precision
0.71 and 0.69 and recall 0.43 and 0.54 in the paper's Table 5.
Out of scope for the slice: conlang targets, optimisers, a second language.
## What good enough means
- Register accuracy: report matched accuracy for ours and for a plain prompt
that is given the relation in words, on the same items, with paired
intervals. We measure that baseline ourselves; Marrese-Taylor's roughly 90%
is classifier accuracy (0.83-0.86 by phrase-marker matching) for binary
formal/informal control with the label named in the prompt, an upper-region
reference and not our baseline. The claim is non-inferiority with a stated
margin. Superiority is claimed only if enough items are discordant (about 6
or more, all in one direction, at n=35); against a baseline near 90%, n=35
cannot show it, and the result is then "not detected".
- Meaning is not lost: chrF and meaning cosine are not detectably below the
plain prompt on the same items, under the same paired test.
- Honest sample size: 35 items per language detects only large gaps, so results
carry intervals and "not detected" stands as an outcome. Small gaps are not
claims. Koehn's figures are for sentence-level BLEU on 100-3000-sentence
blocks and do not transfer to a binary register metric on 35 items; power
for that is computed directly from the discordant-pair count.
- A native-reader check on register for a sample, because every automatic metric
here was validated on languages other than the persona register we care about.
## Open
- Which persona fields (status, restraint, stance) are in the packet today
versus planned: this doc does not decide that; `docs/interlingua-standard.md`
owns it.
- Licences not checked: the UMR dataset, the other four Japanese UD treebanks,
CoCoA-MT repo licence ambiguity (paper says CDLA-Sharing-1.0, GitHub says
NOASSERTION).

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@ -65,7 +65,7 @@ Verified licence facts are few. Discord data excluded by policy; not read.
- PersonaChat (Zhang et al. 2018): ParlAI project page, archived 2020-08-01, states no licence, only "You may continue to use the data without issue". [V] https://parl.ai/projects/personachat/ ; paper https://arxiv.org/abs/1801.07243 says data released open source via ParlAI; licence text [GAP]. Crowdworker-written, persona-statement-conditioned chit-chat [B].
- LIGHT: ParlAI page states no licence; contents: 663 locations, 3,462 objects, 1,755 character types, 11,000 episodes; WILD 41,131 training episodes from game deployment (human players, so a different provenance than crowdwork). [V] https://parl.ai/projects/light/ . Licence [GAP: check ParlAI repo].
- Cornell Movie-Dialogs Corpus: licence/terms page fetch failed (certificate rejected) https://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html . [GAP] Underlying scripts are copyrighted film text [B]; dataset licence unverified.
- Project Gutenberg: "vast majority" of eBooks public domain in the US, so no one can grant or withhold permission for uses; PG cannot sublicense copyrighted items; subject to its Terms of Use, which the permission page links and does not summarise; no statement on ML/bulk use on that page. [V] https://www.gutenberg.org/policy/permission.html . Terms-of-Use text on bulk/automated access and the trademark licence: [GAP, not read]. Items public domain in the US may not be elsewhere (same page).
- Project Gutenberg: "vast majority" of eBooks public domain in the US, so no one can grant or withhold permission for uses; PG cannot sublicense copyrighted items; subject to its Terms of Use, which the permission page links and does not summarise; no statement on ML/bulk use on that page. [V] https://www.gutenberg.org/policy/permission.html . Terms-of-Use text on bulk/automated access and the trademark licence: read 2026-11-13, see `2026-11-13-gutenberg-terms.md`. Items public domain in the US may not be elsewhere (same page).
- Google Synthetic-Persona-Chat (model-generated, persona-chat-style): CC BY-NC? listed as cc-by-4.0 on HF. [V search-only] https://huggingface.co/datasets/google/Synthetic-Persona-Chat
- Operator-authored or model-generated corpus: no licence question beyond provider terms [B, unread this pass]. Problems with evaluating on model-generated text: see 2 (self-bias, preference leakage, stylistic homogeneity: Xu et al. 2025; Li et al. 2025). The same Xu et al. finding says it extends to open-ended generation.
- Expressive-register-annotated English corpora (hedging, humour, affect, politeness labelled), with permissive terms: [GAP] not searched beyond the list above (e.g. Stanford Politeness Corpus, GYAFC formality, Enron etc. are [B] candidates, unverified, GYAFC is known to carry Yahoo Answers terms [B]).
@ -83,6 +83,6 @@ Verified licence facts are few. Discord data excluded by policy; not read.
- No per-metric human-correlation numbers for hedging, humour, affect, stance, persona voice; nearest is formality (Briakou 2021). COMET, BLEURT, MAUVE correlations not obtained.
- No source on surface-form smuggling through an LLM bottleneck or its defences (vocab restriction, paraphrase invariance).
- No source on schema/inventory growth from generation failures, or its overfitting controls.
- Cornell, LIGHT, PersonaChat licence texts not obtained; Gutenberg ToU on bulk use not read.
- Cornell, LIGHT, PersonaChat licence texts not obtained.
- No realiser or evaluation protocol for constructed languages from a meaning representation.
- Several arXiv PDFs (Briakou, Zheng, STEL, LUAR/StyleDistance) fetched as binary; numbers above come from the ar5iv/arXiv-HTML versions where marked, otherwise search summaries.

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# Project Gutenberg terms: bulk access and header stripping
Read 2026-11-13 for follow-up `gutenberg-terms` (campaign `weksa-lowering`),
ahead of cut `pd-importer`. Pages: gutenberg.org `policy/permission.html`,
`policy/terms_of_use.html`, `policy/robot_access.html`, `policy/license.html`.
The quotes were checked against the live HTML of each page by a second reader.
`pd-importer`'s Imagination re-reads the pages before it fixes a fetch path,
since they change.
## Findings
- **Automated access to the main site is refused.** Terms of Use: "This website
is intended for human users only"; "Any perceived use of automated tools to
access this website will result in a temporary or permanent block". OPDS
feeds: no more requests than a browser user would make; heavy requesters are
blocked by IP.
- **Bulk has two sanctioned paths.** Terms of Use: take bulk downloads "from
one of our mirrors, not from the main site". The robot-access page names the
`robot/harvest` wget endpoint (`-w 2`, filterable by file type or language)
and recommends a private mirror for a full local copy; it suggests checking
periodically for changes. Catalog data are offered as
machine-readable offline catalogs, "granted to the public domain".
- **Header and licence stripping.** Licence section 1.C: for a work not
protected by US copyright, with the user in the US, the Foundation does "not
claim a right to prevent you from copying, distributing, performing,
displaying or creating derivative works", "as long as all references to
Project Gutenberg are removed", the condition holding for a user in the US.
Section 1.E opens "Unless you have removed all references to Project
Gutenberg", and 1.E.1 to 1.E.7 (including 1.E.4, do not detach the licence)
attach to a work on which the phrase "Project Gutenberg" appears or with which
it is associated, so a text with every reference removed is outside 1.E.
1.E.2 is not that grant: it says a PG eBook derived from texts not restricted
by US copyright may be copied and distributed in the US without fee. The
trademark is registered; non-commercial use of the name needs no permission,
commercial use does.
- **No statement on machine learning or AI use** on any of the four pages.
- **US public domain only.** The Foundation makes no claim about copyright
outside the US (1.D). A work free in the US may not be free elsewhere, and
Gutenberg's own catalog is not a per-work clearance.
## What this decides for `pd-importer`
- Fetch from a mirror or an offline dump. The Terms of Use footnote counts "many
books" as more than about 100 a day and sends those to mirrors, while
`robot/harvest` is a `www.gutenberg.org` URL: use it (with `-w 2`) only for a
handful of works. Never crawl `gutenberg.org` pages or OPDS from the loop host.
- Strip the whole header and footer, every Project Gutenberg reference and the
licence text from the stored text; keep provenance as the ebook number and
edition in the item's source field, which is Weksa's own record and not a use
of the mark. This is the path `docs/targets/dao-de-jing-test-bed.md` already
takes. The remaining open question there, what counts as a "reference", stays
open: the safe reading is that the ebook number in a provenance field is a
catalogue identifier, not a reference inside the work, but nothing read here
rules on it.
- Per-work check stays with the importer: the work's author and first
publication date against US public-domain rules, recorded on the item. The
Foundation's catalogue does not supply it. A work Gutenberg posts with the
copyright holder's permission (1.E.3) is out of scope.
- No importer code in this note.

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# Scene annotation
How the keeper scenes of `data/original/speaker-state.cc` are labelled. A scene
label has a committed rule that produced it; this file is that rule.
## Why
Two findings forced a written rule.
- `annotation-rank-from-register`: an annotator who reads the line's register
(politeness forms, honorifics, endings) to decide the speaker's rank hands the
lowering its own answer back, because register is what the lowering must
produce from the scene.
- The addressee gate (`with_scene` in `crates/weksa/src/validate.rs`): a scene is
read only when the packet names a discourse addressee. A line that addresses no
one reads `NoAddressee` and no Scene entry selects, so labels on narration are
inert and the only labels that bite are those on lines said to someone.
The earlier labels followed two briefs that were never committed and that
disagreed with each other (the relation to the reader, and a situation read with
the register ignored). The rubric below replaces both for every live group.
## Provenance
Cut `weksa-lowering:cut_spec:cut-scene-in-group.r1`, ruling
`weksa-lowering:ruling:scene-rubric-whole-bed`: all 98 live Train and Validation
groups of `data/original` receive a new scene revision from annotator A under
rubric r1, generator `claude-sonnet-5-5 (Weksa Hands, scene rubric r1,
docs/scene-annotation.md)`. Earlier revisions stay as provenance. The rubric uses
no corpus line as an example on purpose: a labelled example would make the blind
check against the old labels circular.
A later rubric revision gets a new section and a new generator string; r1 is
never edited.
## Rubric r1
The speaker of every line is the keeper, a quiet caretaker of a house and garden. First decide whether the line addresses a listener: it asks them something, asks them to do something, tells them about themselves, wishes something for them, or speaks to them as you. A line that addresses no one (narration, description, a remark about the world or about other people, a thought or wish with no one addressed) is told to the reader, a stranger: answer addressed false, relative_status level, intimacy 500, in_group false. People named inside a line are not its listener.
For a line that addresses a listener, answer addressed true and judge the keeper's relation to that listener from the situation the line states or implies, never from its register: politeness forms, honorifics, sentence endings, contractions, please and casual particles are what the lowering must produce from the scene, so they cannot decide it. relative_status: above when the situation gives the keeper standing over the listener (instructing, advising or permitting as elder, host, employer or teacher); below when it gives the listener standing over the keeper (the keeper serves, thanks, or asks a favour of a guest, employer, elder or official); level when it shows neither.
intimacy, 0 to 1000: 500 when the line shows nothing; up to 800 when it shows shared daily life (the listener's body, sleep or habits, the household's routine); above 800 only for a stated close bond; down to 200 for a stated first meeting or a service relation. in_group: true only when the line shows the listener belongs to the keeper's household, family or working circle, stated or plainly implied; a request, a question or a kind wish alone is not enough; otherwise false. Answer one JSON line per group, in the order given and nothing else: {"group": G, "addressed": true|false, "relative_status": S, "intimacy": N, "in_group": true|false}.
## Procedure
- Annotator A (committed) and annotator B (measurement only) are separate fresh
model agents, one pair per language (49 live groups each). Each sees only the
text of Rubric r1 above and that language's sentences as `group<TAB>"text"`,
shuffled by a fixed seed. Neither sees an existing scene, the other annotator's
answer, the ontology, which items are old or new, or any Test text.
- An output that does not parse or misses a group is re-drawn once and logged.
- A's labels are written with `weksa scene put` (one revision per group,
`--to unnamed --inventory-rev 4`). `addressed` is not stored: no Scene feature
carries it.
- Disagreements are reported, never adjudicated.
## Agreement at r1 (this cut, 98 live groups, 49 per language)
Four fresh agents drew the labels (A-en, A-ja, B-en, B-ja); the briefs were the
rubric section plus one language's shuffled sentences (SHA-256 of the brief
bodies: en-US `db087476...dbc04e`, ja-JP `c5b81b27...97488c`; no Test text in
either). No draw was repeated. Annotator model: `claude-sonnet-5-5`.
A against B (B measures only): pooled `addressed` equal 96/98 (kappa 0.96),
`in_group` equal 93/98 (kappa 0.79), `relative_status` equal 89/98, intimacy
within 150 on 98/98. en-US: addressed 47/49, in_group 47/49 (0.86),
relative_status 45/49. ja-JP: addressed 49/49, in_group 46/49 (0.64),
relative_status 44/49.
Blind check, A against the 56 older labels: `relative_status` equal 49/56,
`in_group` equal 53/56 (kappa 0.64), intimacy within 150 on 55/56. Three
in_group differences: `original-ja-shimoyado-2` and `original-ja-sakana` (both
narrations, true to false) and `original-ja-asa` (an instruction to a household
member, false to true).
In_group true across the 98: 42 before, 15 after; every unaddressed line is now
false (it was true on 17 of the 21 unaddressed vgrow groups). Disagreements are
reported, not adjudicated.
## Reproducing the cut
`scripts/scene-annotation/` holds the standard-library scripts of this cut, run
from the repo root with `WEKSA` (the binary) and `SCENE_SCRATCH` (a directory
that is never committed): `build_briefs.py` writes the two annotator briefs from
the Rubric r1 section and prints each brief's Test-leak count (must be 0) and
sha256 (it reproduces the briefs of this cut byte for byte); `put_labels.py`
puts A's `A-en.jsonl` and `A-ja.jsonl`; `agreement.py` prints the tables above and
must run before the puts, against the store at 76fa685, because the older labels
are then its latest revisions (it also reads the round-1 encoder answers of
`runs/growth-base` through `ROUND1`). `DIGEST_OF_THE_RUBRIC` and
`DIGEST_OF_THE_EARLIER_SCENES` in `crates/weksa/tests/original_corpus.rs` pin the
rubric text and the 113 earlier revisions.
## Known limits of r1 labels
Found by Soul's pass on this cut (`weksa-lowering:verdict:cut-scene-in-group.s1`).
They are not fixed in r1; a reviewer's pass over the labels is follow-up
`weksa-lowering:follow_up:scene-labels-reader-review`.
- The new labels change which ontology entries are selected for 37 groups. Eight
addressed lines move onto the casual in-group entries (en-US:12: lantern,
broom, mirror, seedling; ja-JP:12: furo, asa, irori, yurikago), while their
references are polite requests. The reader default (level, 500, false) is
exactly the condition of ja-JP:11.
- `relative_status` tracks request form for some lines: imperatives read above,
favour questions read level or below, so the same household request gets
different standing in two forms (hane above/650/true, kabin below/500/false;
B gave both level/false). Form is what signals the speech act, which is what
part 2 asks for, and register is what part 2 forbids.
- `in_group` is true on some requests alone (lantern, mulch, stool, hane) and on
a line whose only family member is named inside it (original-ja-ane), though r1
says a request or a person named inside the line is not enough. A and B
agreeing does not clear this.
- A run opened on the old speaker-state refuses to continue after merge:
`runs/growth-base` pins the store of `/var/lib/mind-weksa-self/Weksa-growth`
(main), and that checkout must not be pulled while the run is wanted.

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@ -0,0 +1,117 @@
# Dao De Jing test bed
A lowering test bed on James Legge's public-domain translation of the Dao De
Jing, from Meta's analogy: the Dao has many varied human translations, so it is
a ready-made field of precedents for what one meaning can be lowered to. Meta
proposed it in #weksa:gamecult.org on 2026-11-06 (Matrix event
`$2_P0mbtbnnsP4I61UhVMlatuDSTjFXMOuGa4SSbhGmc`: public-domain translations only
as the scoring corpus, copyrighted ones cited without copying) and noted the
ontology consequence (event `$E4VHwS-zFEk9Fa-daFX8MkfoySn0iX0m1grltEJ9A8Y`:
model an imperial native term as a term with several context-tagged readings
plus a separately recorded chosen gloss per lowering).
## What is here
- `data/daodejing/`: its own stores (inventory revisions 1 to 3, one entity, five
corpus items, five packets), apart from the production stores in `data/`.
Revision 3 is `weksa::daodejing::revision()`; the packets are
`weksa::daodejing::packets()`. The scene revision (`speaker_scene_revision()`, also
numbered 3) is not applied in these stores and will need renumbering when it
is applied anywhere both meet.
- Rebuild: `weksa --corpus C --inventory I --entities E` with `inventory seed`,
`inventory proof`, `inventory dao`, `entity put entity:laozi ...`,
`corpus add ... --language en-US --source public-domain` per item, then `packet dao <store>`.
- Source: Project Gutenberg eBook 216, "The Tao Teh King, or the Tao and its
Characteristics", Laozi, tr. James Legge (Sacred Books of the East 39, 1891).
Gutenberg's licence (1.C) does not claim a right to prevent derivative works of
a work not protected by US copyright, for a user in the US, provided every
Project Gutenberg reference is removed (see
`docs/research/2026-11-13-gutenberg-terms.md`). The items hold only Legge's words, one numbered section
or sentence each; no Gutenberg header, licence text or trademark is stored,
and the eBook file itself is not committed. `edition_url` names the page the
text was retrieved from, as a citation of provenance and not as part of any
item's text. The legal-root question of whether a citation counts as a
"reference" is not ruled; if Gutenberg says it does, the field moves to the
Sacred Books of the East print edition.
- `Source::PublicDomain` now carries `licence`, `jurisdiction`, `translator` and
`edition_year`, and the store refuses an item missing any of them (an empty
string, or year 0).
## The slice
Corpus groups are chapters, so the derived split spreads the slice:
| item | Legge | split |
|---|---|---|
| `item:daodejing:1` | ch. 3 s. 2 | Train |
| `item:daodejing:2` | ch. 7 s. 1, first sentence | Validation |
| `item:daodejing:3` | ch. 8 s. 1, first sentence | Validation |
| `item:daodejing:4` | ch. 78 s. 4 | Test |
| `item:daodejing:5` | ch. 5 s. 2, first sentence | Test |
Each packet states neutral facts (referents, predications, a speech act) and a
stance (restraint 800 on all; affection 300 on the water likeness). The stance is
my reading of the sage's voice, not data.
## First closeness number
Scored with `weksa score` (chrF, and meaning as cosine under `qwen3-embedding:0.6b`
through the local Ollama), one lowered output against its own item.
| item | split | chrF | meaning | lowered |
|---|---|---|---|---|
| 1 | Train | 44.18 | 0.831 | The sage empties the minds. The sage fills the bellies. The sage weakens the wills. The sage strengthens the bones. |
| 2 | Validation | 82.12 | 0.976 | The heaven is long-enduring. The earth continues long. |
| 3 | Validation | 74.99 | 0.974 | The highest excellence is like the water. |
| 4 | Test | 82.50 | 0.949 | The words that are strictly true seem paradoxical. |
| 5 | Test | 75.99 | 0.894 | The space between heaven and earth may be compared to the bellows. |
Mean over the five: chrF 71.96, meaning 0.925. Mismatched baseline (each output
against the other four references, 20 pairs): chrF 14.1, meaning 0.458. So the
scorer separates the right reference from a wrong one by a wide margin; that is
all it shows here.
**Do not read 72 as a measure of the interlingua.** The five outputs are the
ceiling of an author who saw the reference:
- One author wrote the packets, the inventory entries and the lowerer rows with
Legge's sentence open. Frame 3 (`act`) was written from the Train item. Frames
4 and 5 came from Validation items and frames 6 and 7 from Test items, each
written while reading that item. The Train item, the only one lowered by a
frame minted from Train, scored lowest (chrF 44.18). The scores rise with
how bespoke the frame is, the reverse of generalisation. The Validation and
Test numbers measure the lowerer table, not what the interlingua can carry.
- n = 5, one translation as reference, one embedding model, no variance.
## What the scorer cannot see
- **Stance.** The stance features are in the packets and the lowerer does not
render them, so the number is blind to the packet's voice entirely. It would
not change if every stance were deleted.
- **Dropped meaning.** Item 5 is a negated rhetorical question ("May not ... be
compared"); the lowering is a plain statement with no question mark and no
"not". Item 1 loses "Therefore", "in the exercise of his government" and "their".
Item 4 loses "to be". chrF scores the overlap and cannot say that the speech
act changed. The embedding cosine of 0.894 for item 5 is not much lower than
for the statement-for-statement items.
- **Table defects it forgives.** "The heaven" and "the water" are wrong English
(the lowerer prefixes "the" to every referent and has no proper-noun,
mass-noun or entity rendering). chrF takes a small penalty only.
- **Register and meaning of the Chinese.** The packets were read off Legge's
English, not the Chinese, so this is a round trip English to interlingua to
English. It measures how well the packet kept Legge's wording, not whether Legge
or the packet is right about the Dao. The term "Tao" never appears in the slice.
The multi-reading term modelling Meta described is untested.
- **Leak.** `weksa score` scores the whole output against the whole reference
with no mask, as the leak ruling says. Nothing here enforces that the
author did not use the reference; only the labels above say so.
## What the run showed the interlingua needs
- Negation and question force: `polarity` is refused by the lowerer ("features")
and `ask` has no punctuation row, so two of Laozi's habitual moves, the negated
claim and the rhetorical question, cannot be lowered at all.
- A frame per sentence shape is the lowerer's cost model today: each new shape
is one more table row and one more inventory frame. The Dao's aphorisms are
mostly copular and paradoxical, which suggests the next frames to mint
(attribution, contrast, negated identity) before more chapters are added.

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@ -11,7 +11,7 @@ by Imagination for the Eureka-area Self, 2026-10-29.
The interlingua spec has two layers. The **schema** is Rust types: packet
families, node ids, role slots, value kinds. It changes rarely and by commit.
The **inventory** is data in CultCache: the concepts, frames, roles, relation
types, speech acts and nuance features (hedge, certainty, warmth, irony and
types, speech acts and nuance features (hedge, certainty, irony, stance affects and restraint, and
whatever the loop finds missing) that the schema's slots name by id. Every open slot in a packet is an inventory id; a referent names an entity by id
from the entity store, and a packet's only free text is the trace. No door judges text for leakage:
what each model call may see, and what a score may count, own that
@ -31,17 +31,18 @@ means no store holds it and nothing writes it.
|---|---|---|---|
| Packet | Key `packet:<16 hex>`, an opaque digest of item, inventory revision and encoder (the item key lives in `provenance.corpus_item`, which the lowerer never sees); CultCache type `weksa.interlingua_packet`, carrying `schema_version` and `inventory_rev`. Every id inside is an opaque form type (`n<k>` nodes, `encoder:<16 hex>`, canonical `<family>:<n>`). From cut `speaker-state` (schema v4) it also carries the utterance **stance**: the speaker's felt affect and restraint, as inventory features of slot `Stance` (see Speaker state below) | Minted by an encoder for one corpus item under one spec version; immutable; a new spec version means a new packet, never an edit. Admitted only through `PacketStore::admit`, which validates against the inventory store at the packet's revision | The encoder writes; the form types refuse malformed ids at construction and load, the validator refuses broken references and over-capacity packets: a feature at most once per slot, at most 64 nodes (`typed-packet`); nothing else writes packets |
| Schema version | `weksa.interlingua_packet.v<N>` constant in `crates/weksa`; published JSON Schema at `schemas/cultnet/` | Bumped by a commit that changes the Rust types; the published schema is regenerated in the same commit and a test fails on drift | A cut (Hands, under a spec); never the loop |
| Inventory entry | Key `<family>:<n>`, `n` canonical decimal >= 1 (families: concept, frame, role, relation, speech_act, feature, referent_kind, extension); type `weksa.inventory_entry`, with a bounded gloss, value kind (option labels bounded), the slots a feature may sit in (`Discourse`, `Referent`, `Predication`, `Relation`; `Stance` from cut `speaker-state`, `Speaker` and `Scene` from cut `speaker-scene`), `introduced_rev` and optional `retired_rev`. Speaker axes, scene relations and affects are features of those slots, so the loop grows them like any closed-class family and convergence covers them | Added or retired by an inventory revision; never edited in place (a changed meaning is a retire plus an add); a retired id still resolves for packets of earlier revisions | The loop's accepted rounds, whose minting call the context builder assembles from Train items only; Self on merge to main. Admission checks form, not text |
| Inventory entry | Key `<family>:<n>`, `n` canonical decimal >= 1 (families: concept, frame, role, relation, speech_act, feature, referent_kind, extension); type `weksa.inventory_entry`, with a bounded gloss, value kind (option labels bounded), the slots a feature may sit in (`Discourse`, `Referent`, `Predication`, `Relation`; `Stance` from cut `speaker-state`, `Speaker` and `Scene` from cut `speaker-scene`), `introduced_rev` and optional `retired_rev`. Speaker axes, scene relations and affects are features of those slots, so the loop grows them like any closed-class family and convergence covers them | Added or retired by an inventory revision; never edited in place (a changed meaning is a retire plus an add); a retired id still resolves for packets of earlier revisions | The loop's accepted rounds, whose minting call the context builder assembles from Train items only; `weksa inventory admit` for one model-drafted `EditDraft` outside a run (cap 256, reviewed whole in its cut; same numbering and admission check as the loop); Self on merge to main. `data/original` revs 5 (233 concepts and frames) and 6 (five concepts closing named gaps) were drafted by claude-sonnet-5-5 (Weksa Hands, model-drafted original-bed lexicon from Train and Validation passages); Validation-informed: numbers on this bed measure lowering, never generalization or convergence. Residue after rev 6, not amended (each fresh coverage reader names new gaps; the loop's growth path owns them): simultaneity (ながら), distal deixis (あの), 'first' (まず), counterfactual mood, 'at least', emphatic question; heaven versus sky for the visible 天 stays weak. Admission checks form, not text |
| Inventory revision | Key `rev:<n>`, type `weksa.inventory_revision`, with parent, change list and `frozen` | Appended per accepted round; exactly one revision is ever marked frozen, by the convergence test | The loop's accept rule appends; the convergence test freezes; Self records the freeze as a ruling |
| Target profile | Locale or language-project id (`en-US`, `ja-JP`, a conlang's slug) plus a revision `profile:<language>:<n>` | Authored, revised by commit or by an accepted round that changed the lowering; each lowering names the revision it used | Profile authors and accepted rounds; never the lowerer's defaults (`persona-drives-register`) |
| Language ontology entry (cut `language-ontology`) | Key `onto:<language>:<n>`; type `weksa.ontology_entry`: conditions over feature values (stance, speaker, scene, packet features) and community ids, and the surface choice they select (layer: lexicon, grammar, discourse, phonology, orthography; a bounded descriptor and at most three bounded examples); introduced and retired by a profile revision | Added or retired by a profile revision, never edited; converted from `data/target-language-ontology/*.yaml`, which is deleted in the same cut so the YAML is not a second owner | The language's owner (the operator for her settings' languages) and accepted rounds; an ontology-minting call is assembled from Train items only, like an inventory-minting call, and its text is in the scorer's leak diagnostic. Selection is deterministic code (`select(profile, stance, speaker, scene)`); the lowerer realizes the selected choices and the trace lists their ids (`lowering-traced`) |
| Community (cut `language-ontology`) | Key `community:<slug>`; type `weksa.community`, converted from `data/cultural-ontology/cultures/` and `referents/` (YAML deleted in the same cut) | Revised by commit; a speaker names the communities it belongs to by id | The cultural ontology's author (owner-attested evidence only; Discord-only content stays deleted, `discord-only-content-deleted`) |
| Target profile | Locale or language-project id (`en-US`, `ja-JP`, a conlang's slug). Until entries grow in rounds there is no profile revision document: a run names the profile it lowered with by the ontology store's path and digest in its `RunRecord` (cut `language-ontology`); `profile:<language>:<n>` revision documents arrive with follow-up `language-ontology-growth` | The ontology store is revised by commit; a run pins it and refuses drift; it likewise pins the speaker-state store (`RunRecord` keys 17 and 18, `Drift(SpeakerState)`, cut `language-ontology-scene`) | Profile authors and accepted rounds; never the lowerer's defaults (`persona-drives-register`) |
| Language ontology entry (cut `language-ontology`) | Key `onto:<language>:<n>`, `n` from 1 per language; type `weksa.ontology_entry` in `data/ontology/ontology.cc`: the language, the revision of the inventory it was admitted through (provenance: beds number revisions independently and a run reads each condition's feature at its own head), a layer (`Lexicon`, `Grammar`, `Discourse`, `Phonology`, `Orthography`, as the door spells them; the mint prompt ends with an `example` line serialized from the draft type itself), at most four conditions (a feature id of slot `Stance`, `Discourse` or `Scene` with `AtLeast`/`AtMost`/`AtMostOrUnset` a grade or `Is` an option or flag; a `Scene` condition reads the relation of the item's speaker to its addressee that `with_scene` selected; slot `Speaker` and community ids wait on follow-up `language-ontology-communities`), a choice of 1 to 200 bytes, at most three examples of 1 to 120 bytes, and an `Annotator`. Whether an entry's text keeps politeness on the scene is a model reader's judgment, owed per change (a mint owes it under `language-ontology-growth`), not a test | Admitted in all-or-nothing batches through `OntologyStore::admit`, immutable, never edited; retire arrives with `language-ontology-growth`. The run pins the store like the entity store (path and digest, `Drift(Ontology)`) and never writes it; slice 1 of growth is outside any run: `weksa loop mint-ontology` drafts entries from the run's Train items of one language into `<root>/ontology-mint/<digest>.answer`, `weksa ontology admit --ontology <copy>` admits them into a file copy, and a new run pins the copy (a run-owned copy waits on follow-up `language-ontology-growth`). Cut `language-ontology-seed` converts by drafting, not by parse: a fresh model drafts each language's seed from that language's YAML and the inventory's feature lines with no corpus text, then deletes `data/target-language-ontology/` and `.weksa/cultural-ontology/` in the same cut | Seed: a labelled model (`Annotator::Model`), no operator gate, never Test evidence (`ja-ontology-owner-answer`); attestation (operator, native reader) appends later. Accepted rounds later, through a mint call from Train items only. Selection is `ontology::select(ontology, language, view)`, called only inside `Prompt::lower`, so no caller picks entries; the prompt prints each selected entry's id, layer, choice and examples. Its text is minted text for the leak diagnostic, which today has no runtime caller (follow-up `leak-diagnostic-in-round`). The store was rebuilt without ja-JP `:14` and `:15` (above-status Scene entries; a paired measure found them net-negative on register, follow-up `ja-scene-entries-lower-register-agreement`), so ja-JP ends at `:13`: an above-status out-group addressee, and an above-status in-group addressee below intimacy 700, select no ja-JP Scene entry (`:12` still selects in-group at intimacy 700 or more regardless of status) until a native reader attests a replacement (`ja-native-reader-scenes`). ja-JP `:5`, `:7` and `:8` were revised by certainty and restraint `AtMostOrUnset` conditions (holds when the feature is unrated or at most the grade; `AtMost` still fails on an unrated feature) in a store rebuild (the store has no retire, so a conditions change is a rebuild), which makes ja-JP's hedging, certainty, affection, restraint and sadness entries disjoint on `:5`/`:6`, `:4`/`:7`, `:6`/`:7`, `:6`/`:8`, and ja-JP `:3` (anger) carries `AtMostOrUnset` hedge and affection bounds, as en-US `:3`, which makes `:3`/`:5` and `:3`/`:7` disjoint; en-US `:3` carries `AtMostOrUnset` hedge and affection bounds, `:5` an `AtMostOrUnset` certainty bound (the clause it held in prose) and `:8` one too (as ja-JP `:7`), which makes `:3`/`:5`, `:3`/`:8`, `:5`/`:6` and `:6`/`:8` disjoint, while `:6`/`:10` stay co-selectable and are kept apart by scoping in `:6`'s text; ja-JP `:9` was reworded in a rebuild to state its question ending as available, so `:6`/`:9`, `:5`/`:9` and `:3`/`:9` stay co-selectable and are reconciled by wording, not by condition |
| Community (cut `language-ontology`, follow-up `language-ontology-communities`) | Key `community:<slug>`; type `weksa.community`, built fresh when the cut is mapped: `data/cultural-ontology/` (draft YAML profiles, read by no code) is deleted from main (cut 5e `delete-cultural-ontology`) and stays in git history before that cut's commit | Revised by commit; a speaker names the communities it belongs to by id | The cultural ontology's author (owner-attested evidence only; Discord-only content stays deleted, `discord-only-content-deleted`) |
| Speaker (cut `speaker-scene`) | Key `speaker:<slug>@<n>`; type `weksa.speaker`: stable axes as feature values of slot `Speaker` (origin, socioeconomic standing, age cohort, education and whatever the loop adds), at an inventory revision, and an `Annotator` | A new revision appends, never edits; a corpus item and every prior turn name a speaker slug, and a round records the speaker revisions it read | The annotator it names: `PersonaSnapshot` (a projection of a `gamecult.persona_state.v0` document, naming its source document and `updatedAt`), `Operator`, `WorkMetadata` (a public-domain work's own cast list and narration), or `Model { family, generator }` (the 2b `ModelFamily`) |
| Scene (cut `speaker-scene`) | Key `scene:<group>@<n>`, the item's split group; type `weksa.scene`: participants (speaker slugs) and, per ordered pair, relation features of slot `Scene` (relative status, intimacy, in-group, audience and whatever the loop adds), at an inventory revision, and an `Annotator` | As Speaker. Keyed by the group, so a scene never straddles the split | As Speaker |
| Corpus item | Key `item:<source-slug>:<n>`, `n` canonical decimal >= 1 (no sign, no leading zero, from cut 2b); type `weksa.corpus_item` with text, language, speaker, split group, prior turns, source. Source `ModelWritten` carries a `ModelFamily` enum, the generator string as the fixture wrote it, and a prompt digest (cut 2b). The item carries no speaker state of its own: its speaker slug and group name the Speaker and Scene documents | Admitted once; the whole item is immutable (re-adding an identical item is a no-op, any difference is refused; a correction is a new item that `supersedes` the old); text already held under another key is refused unless the new item supersedes that key (cut 2b); withdrawn, never deleted, so old scores stay explainable | Importers and `weksa corpus add`, under `corpus-cast-plus-public-domain`; the source enum has no variant for Discord or any training-forbidden source (`corpus-clean`) |
| Scene (cut `speaker-scene`) | Key `scene:<group>@<n>`, the item's split group; type `weksa.scene`: participants (speaker slugs) and, per ordered pair, relation features of slot `Scene` (relative status, intimacy, in-group, audience and whatever the loop adds), at an inventory revision (provenance; a run reads the features at its own head), and an `Annotator` | As Speaker. Keyed by the group, so a scene never straddles the split. `data/original/speaker-state.cc` holds Model-annotated keeper scenes, one per Train or Validation group of both languages (`weksa scene put|dump`); a Test group has none and reads `NoScene` | As Speaker; a model-annotated scene is never Test evidence |
| Corpus item | Key `item:<source-slug>:<n>`, `n` canonical decimal >= 1 (no sign, no leading zero, from cut 2b); type `weksa.corpus_item` with text, language, speaker, split group, prior turns, source and who placed its name spans (`names_by`, an `Annotator`, absent when unrecorded; cut `pd-name-spans`). Source `ModelWritten` carries a `ModelFamily` enum, the generator string as the fixture wrote it, and a prompt digest (cut 2b). The item carries no speaker state of its own: its speaker slug and group name the Speaker and Scene documents | Admitted once; the whole item is immutable (re-adding an identical item is a no-op, any difference is refused; a correction is a new item that `supersedes` the old); text already held under another key is refused unless the new item supersedes that key (cut 2b); withdrawn, never deleted, so old scores stay explainable | Importers and `weksa corpus add`, under `corpus-cast-plus-public-domain`; the source enum has no variant for Discord or any training-forbidden source (`corpus-clean`) |
| Split assignment | Derived: `split(scheme, item.group)` | Fixed for a scheme; a new scheme is a new constant, never a reassignment. A model-written item whose group derives test is in no split; a superseding item keeps its predecessor's group | The hash function. Nobody assigns by hand, so there is no writer to forbid |
| Loop round | Key `run:<label>:round:<n>`; type `weksa.loop_round` with spec version, profile revisions, model ids and prompt digests, sampled train items, proposed change, validation scores before and after, outcome | Opened, scored, closed accepted or rejected; immutable once closed. Lives in the run store on Yggdrasil | The loop driver's accept rule (validation composite improves past the measured noise floor and no metric regresses past tolerance) |
| Score | Key `<lowering-key>:<metric>@<metric-version>`; type `weksa.score` | Immutable; a new metric version scores again under a new key | The scorer, deterministic given the metric version and the embedder's model id. Cut `scorer` computes scores as values; cut `golf-loop-en` stores them, because the lowering keys they hang from arrive with the loop |
| Loop round | Key `run:<label>:round:<n>`; type `weksa.loop_round` with spec version, profile revisions, model ids and prompt digests, sampled train items, Validation means and refusal counts (from cut `ja-panel-loop`: one set per language of the run's panel, no pooled mean), per-item Validation scores in corpus order (key 22, numbers only, no item key or text, private to `run.rs` for the paired floor of the cycle (rounds 1 to 4) and of relower; a run from before has none and opens), the digest of the inventory file it was scored under and, for a cycle's candidate round, its cycle `k` | Scored and recorded whole; immutable. A candidate round is put in one batch with its Decision. Lives in the run store on Yggdrasil | `run::round` and `run::cycle` (both through `score_round`) |
| Loop decision | Key `run:<label>:cycle:<k>`; type `weksa.loop_decision` with the base round and revision, the edit prompt's digest and Train keys, the editor's answer digest, the candidate revision, inventory digest and round, the base, candidate and floor readings (chrF, meaning, composite; the floor is the paired floor of round 1 against rounds 2 to 4), the threshold and the verdict (Accepted, or Rejected for edit-parse, edit-admit, no-gain, regressed chrF, meaning or composite); digests and numbers, no text | Immutable. The latest Accepted one names the run's head inventory (`<root>/cycle-<k>/inventory.cc`, its candidate digest, its candidate round); with none the head is the copy `create` made at `<root>/inventory.cc`. Lives in the run store on Yggdrasil | `run::cycle`'s accept rule, `run::decide`: the validation composite gains more than max(noise floor, `LADDER_STEP`), no metric falls past max(its floor, one step), the composite does not fall past max(its floor, one step), and a non-finite reading rejects (the one regression test, `run::regression`); differences compared in billionths so a gain of exactly one step is a tie. From cut `ja-panel-loop` the readings, floor and threshold are kept per panel language and `run::regression` runs per language and is the one regression test (`decide` adds the gain test for a one-language panel): any language regressing rejects (verdicts `regressed-chrf`, `regressed-meaning`, `regressed-composite`), otherwise a one-language panel accepts as `decide` does and a panel of two or more accepts when the sum of composite deltas exceeds one `LADDER_STEP` (billionths). Given up: strict Pareto non-regression; a language may lose up to its own noise floor if the panel nets more than a step, because zero tolerance ratchets every base to a favourable noise draw and strangles the loop. Termination: each accept raises the composite sum by more than a step and composites lie in -0.5 to 1, so a run accepts at most 1.5 * languages / `LADDER_STEP` edits |
| Score | Key `<lowering-key>:<metric>@<metric-version>`; type `weksa.score` | Immutable; a new metric version scores again under a new key | The scorer, deterministic given the metric version and the embedder's model id. Cut `scorer` computes scores as values; cut `golf-loop-en` stores them, because the lowering keys they hang from arrive with the loop. Lands with follow-up `golf-loop-score-docs`, in the round's directory; nothing in the cycle reads them |
| Lowering trace | Key `lowering:<packet-key>:<profile>@<rev>:<lowerer-digest>:<sample>`; type `weksa.lowering` holding the surface text and its trace together | Immutable. A surface text cannot exist without its trace, because they are one record (`lowering-traced`) | The lowerer emits; the lowerer sees the packet without its `trace` (the input type has no such field), never the corpus item |
| Conlang lexicon entry | Key `lex:<language>:<concept-id>`; root form, morphology class | Root placed at its concept's embedding when the concept first needs a form in that language; stable once accepted; diachrony derives later forms, it does not overwrite | The language project's owner: the operator for her settings' languages, the loop proposing roots for her review |
| Conlang grammar and phonology data | `<language>/grammar`, `<language>/phonology` documents per language project | Revised by commit; every lowering names the revision | The language project's owner |
@ -133,8 +134,9 @@ standing.** `gamecult.persona_state.v0` (Body facts) carries open trait maps
So a `PersonaSnapshot` projects mood-like and relation-like values, and the
stable axes the standard lacks are annotated. Whether the standard gains a
typed speech-community reference or Weksa keeps the persona-to-community
binding (`data/cultural-ontology/persona-stacks/`) is decided when
`live-lowering` is mapped (follow-up `persona-state-speech-community`); the
binding (the deleted `data/cultural-ontology/persona-stacks/brokkr.yaml` was its one draft) is question `persona-speech-community-home` (recommended: a Weksa-owned
binding; follow-up `persona-state-speech-community`), decided when
`live-lowering` is mapped; the
corpus path needs neither. Putting Weksa feature ids into the open
`voiceStyle` trait map is rejected: it would make an extension field portable
authority, which the standard forbids.
@ -259,10 +261,11 @@ operator-attested annotations alone. Who annotates is question
with the same text and a different source returns `Unchanged` and writes
nothing, so a relabel through `add` silently does nothing. `key_slug`
parses `n` with `u32::parse`, which accepts `01` and `+1`.
- Inventory rev 1 (seed): features 6-11 are hedge, certainty, warmth,
formality, intensity (Grade) and irony (Flag), slots Discourse and
Predication. Nothing outside the seed and `docs/interlingua-standard.md:179-180`
names warmth, formality or intensity; no committed packet store exists.
- Seed inventory (2026-11-10, base `5e10d7c`): features 6-8 are hedge, certainty
and irony; 9-18 are the stance affects and restraint (slot Stance). The
committed inventory holds revisions 1-2 only. Nothing calls `with_scene`
except tests, and the proof packet's addressee carries no entity (its
referent `n3` does: `entity:nibu`).
- Yggdrasil's Ollama (`127.0.0.1:11434`) is the Docker container `ollama-cpu`,
Huginn's embedder (runbook `gamecult-ops/runbooks/huginn-yggdrasil.md`,
ruling `eureka-body:ruling:huginn-embedder-yggdrasil-primary`). `/api/embed`
@ -306,6 +309,27 @@ line two", "その 制御" against the
or socioeconomic standing; `extensions` are non-authoritative by the
schema's own description.
- Probes of 2026-11-12 at `d9ebbcf` (map pass for cut 5): no code reads
`data/target-language-ontology/`, `data/cultural-ontology/` (since deleted) or
`.weksa/cultural-ontology/starter-targets.cc` (a third, typed copy of en,
ja-JP and pt-BR profiles); `README.md`, `docs/multilingual-utterance-lowering.md`,
`examples/cultcache-lowering/` and `prompts/nibu-cultcache-target-*.md` cite
them. `LoweringInput::with_scene` has no caller in `run.rs` or `main.rs`, the
run pins no `SpeakerStateStore`, and no Speaker or Scene document is committed
(`speaker-scene-seeds` open), so only the packet's `Stance` and `Discourse`
features reach a loop's lowering view. `score::leak_diagnostic` and
`TestReadings::at_checkpoint` take minted text as `&[&str]` and have no
caller outside tests: no round reads glosses or any minted text against
Validation. `data/daodejing/inventory.cc` is a revision prefix of
`data/original/inventory.cc` (revisions 1 to 4 equal, a test proves it; revs 5 and 6 add the bed's own lexicon); with `data/interlingua/inventory.cc` they share revision 1,
where features 6 to 8 (hedge, certainty grades, irony flag) sit in
`Discourse` and `Predication` and features 9 to 18 (anger to restraint,
grades) in `Stance`. `PROMPT_SOURCE_DIGEST` covers `context.rs`, `split.rs`,
`lower.rs` and `packet.rs`. 25 `RunPaths {` literals across `run.rs`,
`context.rs` doctests, `main.rs`, `tests/common/mod.rs`, `tests/golf_loop.rs`
and `tests/original_corpus.rs`; 10 `Prompt::lower(` calls. `huginn known`
timed out (Unavailable, 15 s deadline) twice this pass.
## Where things live and run (`rust-single-crate`, `loop-runs-on-yggdrasil`)
- Code: one Cargo workspace at the repo root, one package `crates/weksa` (a
@ -316,9 +340,14 @@ line two", "その 制御" against the
- Stores: `data/interlingua/inventory.cc` and `data/corpus/corpus.cc` in the
repo (small, reviewed with `weksa dump`); run stores (rounds, lowerings,
scores) on Yggdrasil under the loop's state root, not in git.
- The loop runs on Yggdrasil as a detached unit with a log and a status record.
Starfire runs none of it. Model calls go through a `ModelPort`; its first
adapter drives `claude -p` on the operator's subscription. Never OpenAI
- The loop is a batch command driven from a Claude Code session on Yggdrasil
(`golf-loop-in-claude`), not a detached unit. Model calls go through a
`ModelPort` whose one adapter, `AnswerFiles`, writes a `.prompt` file and reads
a `.answer` file: Claude agents answer them, one fresh subagent per encode
prompt (`encoder-isolation-subagent-per-prompt`) and a tool-less relay for
lowering prompts (`lowerer-call-reach-toolless-relay`). Builds, stores, scoring
and embeddings run on Yggdrasil; Starfire runs none of it, and Weksa needs no
claude binary or token there. Never OpenAI
(`eureka-body:ruling:no-return-to-openai-supplier`), never Discord data
(`gamecult-chat:ruling:discord-taints-training`).
@ -331,6 +360,252 @@ checkpoint the test-split composite is within the noise floor of validation.
The test split is read only at checkpoints. Self then records the freeze, and
the training set is the whole corpus re-encoded under the frozen revision.
## Distil measure (`distil-slice`)
A lowerer is compared on round n's Validation packets with the prompts
byte-identical to the round's, by `weksa loop relower ROOT --round N --arm ARM
--lowerer LABEL [--floor ARM2 --floor ARM3 --floor ARM4]`. Every arm is answered through the one prompt
door (`RunStores::answer_files`, the Test-text guard); a tuned model is a script
that reads `<digest>.prompt` and writes `<digest>.answer` in
`<ROOT>/relower-<N>-<ARM>`, not a new adapter. The recorded reading is the
round's own lowering, read over the same items as the arm. An item the round
refused before admission (no packet) or at the lowering prompt has no prompt to
ask: it is skipped, so the readings exclude it, and it is counted as `skipped=`
on the line; `n` is the items read, so `recorded` can differ from the round's
own Validation reading, which scores those items 0. An arm answer that is not a
usable lowering scores 0 and counts in `unusable=`; the same for the floor arm,
counted (over all floor arms) after `floor ... unusable=`. The floor needs three
or more floor arms, each a prompted repeat of the recorded lowering on the same
prompts: it is `FLOOR_Z` (3) standard errors of the mean per-item difference
between the recorded lowering and a repeat, per metric, with the variances
pooled over the arms (`paired_floor`; lowering-only noise, no encoder noise). The
verdict is `decide_panel` over (recorded, arm, floor): Accepted is a composite
gain past the noise of the panel's sum (the root of the languages' composite
floors squared, at least one step), Rejected(Regressed) a loss past a language's
floor, Rejected(NoGain) neither. The cycle's own floor is the same `paired_floor`
(`floor_of`): round 1 (the recorded lowering, the head's establishing round)
against rounds 2 to `FLOOR_ARMS_MIN` + 1 (prompted repeats under the run's first
inventory), per panel language, from the rounds' per-item Validation scores. It
is measured once per run and is the same after an accept; a run needs four
`loop round` calls before its first `loop cycle`.
Calibration (`runs/distil-base`, 8 prompted draws by one model family on
identical prompts, no draw sharing more than 7 of 28 answers with another; 14
en-US and 14 ja-JP Validation items; every base, candidate and 3-arm floor
combination, 1120 trials from 28 unordered pairs; intervals bootstrap over
draws, each degraded arm one fixed draw): a prompted repeat reads NoGain 92%
(80 to 100), Regressed 8% (0 to 20), Accepted 0%, which with 28 pairs bounds
false-accept only to about 10%; an all-"Yes." arm reads Regressed 100%; a mild
degradation (one detail blurred per utterance) 100%; a subtler one 75% (50 to
100), whose mean composite drop (0.044) sits under the mean floor (0.060).
`FLOOR_Z` was chosen on this data (2.5 gives NoGain 84% and 93% on the subtler
arm), so the rates are in-sample. Without the noise term in the gain test a
prompted repeat reads Accepted in 40% of the trials.
Power (can the rule Accept a real gain?): the only better arm that could be
built without Test or Validation answers is a lowerer shown the Train sentences
of the corpus (no packets, no Validation or Test text) as a register guide.
Four such draws beat the prompted draws' mean composite in both languages (en-US
0.742 to 0.759 to 0.795; ja-JP 0.559 to 0.578 to 0.620), so the premise that it is
better is measured on the very Validation items the rule reads, not independent.
Against the prompted bases with 3-arm floors the rule reads it Accepted in 29%
of 1120 trials, NoGain 71%, Regressed 0%: a net gain of 0.079 against a mean
noise term of 0.079. At 14 items per language the rule is therefore a low-power
filter for a gain of this size; by 1/sqrt(n), about 35 or more items per
language would bring the noise term near 0.05 (an extrapolation, not measured).
### Validation growth (`validation-growth`, built and recalibrated)
Power needs about 35 or more Validation items per language. `data/original`
now holds 35 per language (it held 14; Train 14 and Test 8 are unchanged):
42 model-written items, `item:vgrow:1..21` (en-US) and `item:vgrow-ja:1..21`
(ja-JP), live Train+Validation 56 to 98. The slug is new on purpose: the
`item:original:` prefix filter of `DIGEST_OF_THE_28` still selects the first 28
and passes; `DIGEST_OF_THE_42` freezes the new prose.
The split is derived from an item's group alone (`SplitScheme::V1`: FNV-1a of
`weksa-split-v1:<group>` mod 100, under 40 Train, under 80 Validation, else
Test). The names were chosen before any text existed: 90 candidate nouns per
language, dropped by script when the group already existed or the noun
occurred in a Test text, then the first 24 whose bucket fell in 40..=79 (the
bucket came from `SplitScheme::V1` itself, cross-checked on the 72 existing
items). Each language was written by three blind writer agents (8 nouns each,
a brief of language, register note, noun and speech act, no Test text and no
existing item), 24 texts per language written, the first 21 in name order
admitted through `weksa corpus add`; each group is its own group. The scenes
are `weksa scene put` documents (keeper to `unnamed`, inventory rev 4),
annotated by a separate agent; a second annotator measured agreement only and
is not committed.
The writer is Claude (family Anthropic recorded): no cross-family generator was
reachable from the body that ran this cut. The self-preference effect (a Claude
lowerer favouring Claude prose, Panickssery et al. 2024) is therefore not
measured. The writers' blindness is by brief content, not sandbox.
Expect encode refusals: the existing 56 were written onto the Dao r3 concepts
and the inventory was drafted from them, while the new items were written free
of the inventory (question `validation-growth-vocabulary` stays open). Some new
packets will be refused at encode (inventory coverage) and score 0 as the means
do; they stay in the corpus. That is a result about inventory generalization,
not a defect.
Every calibration number in the Distil measure section above (92/0/8 prompted
rates, the 29% power, the 0.079 noise term) is for the 14-item corpus and stays
the stated baseline of that corpus.
Recalibration on the grown corpus (`runs/growth-base`, main 44b66f9, panel
en-US and ja-JP, round 1 recorded by briefed subagents; 6 prompted draws
including the recorded one, 2 mild degradations, an all-"Yes." control and 4
Train-guide draws by Claude sonnet-5-5; the same decision rule at FLOOR_Z 3 and
3-arm floors; 120 prompted trials from the 30 ordered pairs of 6 draws with the
other 4 as floor candidates, so trials share draws and are not independent).
Soul pass `cut-validation-growth.s3` re-derived every number below; its
findings shaped the wording.
- Live Validation items: 28 en-US and 32 ja-JP of 35 each; 10 are refused at
parse (en-US original:18, 23, 25, 27 and vgrow:4, 5, 6; ja-JP original-ja:17,
22 and vgrow-ja:2); `relower` skips an item with no packet, so every reading
here is over live items only. Old 14: 10 en-US and 12 ja-JP live; new 21: 18
and 20.
- Prompted repeat: NoGain 96.7%, Accepted 3.3%, Regressed 0% (14 items: 92 / 0 /
8). All four false accepts are one pair, base p6 and candidate the recorded
lowering R: R comes from the round, the other five draws from `relower`, and
in en-US R scores +0.024 per item above them [+0.002, +0.052], so R is not
exchangeable with a repeat (a Plausible Soul finding, cause not isolated). No
false-accept bound can be drawn from 6 draws.
- Degraded arms read Regressed: all-"Yes." 100% (as before); mild-1 31.7%;
mild-2 0% (14 items: 100% and 75% on a subtler arm). The mild arms are weak
and not independent: they were rewritten from R with one detail blurred, the
original wording is not on disk, mild-2 equals R word for word in 5 of 60
items and mild-1 in 2, and mild-1 equals mild-2 in 27 of 60 although they
were asked to blur different details. Their mean composite is 0.003 to 0.015
below the prompted mean (the old subtler arm: 0.037 and 0.052). The
sensitivity to a small regression is not re-measured.
- Noise: the panel noise term of the sum rule is 0.045 on average over the base
and floor choices (0.031 to 0.064), against 0.079 at 14 items. The 1/sqrt(n)
forecast (about 0.05) assumed per-item variance stayed the same; it did not:
the per-item SD of the difference between two prompted draws is about 0.085
on the old items and 0.034 on the new ones, so the pooled term landed near
the forecast because less variable items were added. Not a confirmation of
the forecast.
- Power: the Train-guide arm (14 Train sentences as a register guide) is
Accepted in 21.2% of 240 trials, NoGain 78.8%, against 29% at 14 items, and
its mean composite gain over the prompted draws is 0.0185, 0.41 of the mean
noise term (0.37 on the first floor choice per base); with `relower`-only
bases (R removed) it is Accepted in 35% (28 of 80). Split by item class
(paired bootstrap over items, 95%): old items +0.029 [+0.005, +0.052] (en-US
+0.049 [+0.023, +0.084] on 10 items, ja-JP +0.013 [-0.021, +0.037] on 12);
new items -0.002 [-0.011, +0.007] pooled, but two opposite effects: en-US
-0.017 [-0.027, -0.007] on 18 items and ja-JP +0.011 [+0.001, +0.022] on 20.
So the old-versus-new contrast exists in en-US; in ja-JP old (+0.013) and new
(+0.011) do not differ. Measured: the 14-item gain does not carry to the new
en-US items. Inferred, not isolated: that it was in-sample register fit. The
new items differ from the old in several ways at once (written free of the
inventory, longer, a different scene convention, lower scores, a smaller
vocabulary overlap with Train in en-US: 0.29 against 0.52) and were briefed to
the same register as Train, by Claude as the old were. The 29% power figure
stays the stated baseline of the 14-item corpus; no better arm is known on
the new items, so the rule's power against a real gain is not re-measured.
- The two classes are different strata (Soul s2 `register-stratum-shift`): the
new items score lower (composite 0.41 against 0.64 pooled) so a pooled
60-item mean mixes them; report old and new separately.
- The self-preference effect is not measured (ruling
`validation-growth-writer-claude-checked`). The new scenes use a different
`in_group` convention from the old ones (follow-up
`vgrow-scene-in-group-convention`), so the new-item scores are for scenes that
will be re-annotated; the speaker-state store changes then (a run pins its
digest), the corpus does not.
For `growth-base`, `weksa loop calibrate` (`docs/calibration.md`) reproduces from `run.rs`'s own
scoring and accept rule the counts per class, the trial totals and the mean
noise of this block: prompted 116 NoGain, 4 Accepted, 0 Regressed of 120;
control-yes 60 of 60 Regressed, mild-1 19 of 60, mild-2 0 of 60; the
Train-guide arm 51 Accepted, 189 NoGain, 0 Regressed of 240; noise 0.0451;
items en-US n=28 skipped=7, ja-JP n=32 skipped=3. By class it adds: old items
(`item:original*`) prompted 111/9/0, noise 0.1069, Train-guide 71 Accepted of
240; new items (`item:vgrow*`) prompted 116/4/0, noise 0.0334, Train-guide 0
Accepted and 74 Regressed of 240. The other figures of this block (35% with R
removed, the noise range, the 0.0185 gain and 0.41 ratio, the bootstrap
intervals, the per-item SDs, R's +0.024, the mild-arm duplicate counts and
mean composite offsets, the Train-vocabulary overlap, the old/new class
composites, the ten parse-refused item ids) were
computed by scratch scripts outside git (Soul finding `evidence-outside-git`)
and are not reproduced by the harness.
Recalibration on the relabelled scenes (`runs/growth-scene`, main d8afc4a; same
panel, 35 live items per language, 0 refused, 5 prompted draws including the
recorded one R, 2 mild, 4 Train-guide). It is not a replacement for the
`growth-base` block above and no delta against it is drawn: the item set, the
packets and the scenes changed, and encode was redrawn (the 98 encode prompts
are byte-identical to growth-base, no encode answer is; the refusals fell from
10 to 0 on the redraw, not through the scenes, which reach only the lowering
prompts). Soul `cut-calibrate-harness.s3` re-derived all 33 counts and 3 noise
terms below from the per-item answers without calling `calibrate`; they match.
Measured, and reproduced by `weksa loop calibrate` (trials: prompted 120, each
mild 60, Train-guide 240; Accepted / NoGain / Regressed):
| class | prompted | noise | mild-1 Regressed | mild-2 Regressed | Train-guide |
|---|---|---|---|---|---|
| all (35 per language) | 11/100/9 | 0.0392 | 51 | 58 | 85/35/120 |
| old (14) | 0/105/15 | 0.0844 | 60 | 60 | 40/80/120 |
| new (21) | 10/97/13 | 0.0340 | 3 | 4 | 50/129/61 |
Measured by Soul scratch scripts outside git (not reproduced by the harness,
except the R split in the first bullet, which `calibrate` prints as
`prompted-r-candidate`, `prompted-r-base` and `prompted-r-free` since the
`calibrate-report-r-involvement` cut; Soul re-ran growth-scene with it and the
printed `all` lines read r-candidate 11/9/0, r-base 0/11/9, r-free 0/80/0, as
below, in Accepted/NoGain/Regressed; likewise the per-arm Train-guide counts
(`candidate=h1..h4`) and the mild arms' composite offsets from the prompted
mean, R included (`offset`), which `calibrate` prints since
`calibrate-arm-counts-and-mild-offsets` and which reproduce the figures below,
Soul re-run on growth-scene):
- Every one of the 11 false accepts has R as the candidate (bases
prompted-2, p4, p6); every one of the 9 false rejects has R as the base. The
80 trials without R read 0 Accepted and 0 Regressed in every class (95% upper
bound 4.5%). R scores above the other prompted draws (+0.012 en-US and +0.023
ja-JP on all items), so R is not exchangeable with a repeat.
Which of the two rates the live rule should be held to is undecided: the
live loop meets R as the head's establishing lowering, so the R-candidate
rate may be the real one for cycles, while the 80 R-free trials are the
exchangeable repeat rate; neither number stands for the other.
- The old/new split of the false-accept lives only in the 20 trials where R is
the candidate, from 5 bases: new 10/20 [0.27, 0.73], old 0/20 [0.00, 0.17]
(Clopper-Pearson); by base 3 of 5 against 0 of 5 (Fisher p 0.17). The
10/120 against 0/120 comparison treats dependent trials as independent. The
claim that the new items drive the prompted false-accept is not supported;
the old items' larger noise term (2.4 times) raises their threshold, which
alone can produce the gap.
- Mild arms: they overlap 8 of 35 answers (en-US) and 9 (ja-JP) over the limit
of 7. They do not degrade the new items (composite -0.004 en-US
[-0.021, +0.012], +0.013 ja-JP for mild-1, +0.005 for mild-2); the Regressed counts come from the old
en-US items (-0.072). The rule's sensitivity on the new items is unmeasured.
- Train-guide pools unlike arms. h1 and h2 Regress in 120 of 120 trials; h3 and
h4 gain (Accepted 45 and 40 of 60); on the new items h3 is Accepted 50 of 60
and h4 0 of 60. The 35% pooled figure is not a power.
Extrapolated only: the rule's power at 35 items against any real gain beyond
h3 and h4, and any false-accept bound on repeat draws (5 draws, one of them R).
### Smallest measurable distil slice (`distil-incontext`, not built)
Distil is a tuned lowerer measured against the prompted one; the tuned model
needs a host (follow-up `distil-host-question-owed`). The smallest slice that
measures whether Train pairs buy a gain with the rule that exists is
training-free: an in-context arm, the prompted lowerer given Train
(packet, text) pairs as few-shot examples, answered through the one prompt door
and read by `loop relower` against three prompted repeats. Parts: 12b's
Train-only export (follow-up `distil-export-at-freeze`, guarded against Test
text) as the few-shot source; the arm's directory of answers; the existing
floor and verdict. A weaker version ran on 14 items: a lowerer shown the 28
Train sentences (no packets) beat the prompted draws in both languages and the
rule Accepted it in 29% of 1120 trials. The slice is decisive only with the
Validation growth above: at 14 items it can only fail to reject. It decides the
fine-tune question in one direction: if in-context Train pairs do not clear the
floor at 35 items, a tuned model's gain over the prompted one is not
measurable with this corpus either.
Training pairs are Train only, at a frozen revision; the export is 12b.
## Lowerer first cut (`golf-loop-lowerer-cut`)
Authority map for the smallest lowerer, written before its code (Imagination
@ -340,9 +615,10 @@ measurable baseline from a packet: `lower` gives text, `score` gives numbers.
| Decision | Owner | Inputs | Outputs | Not the owner |
|---|---|---|---|---|
| Whether a packet exists | `validate` / `PacketStore::admit` (unchanged) | packet, inventory, corpus, entities | admitted packet or typed refusal | the lowerer |
| Wording of a packet in English | `crates/weksa/src/lower.rs`: `lower(&LoweringInput, &Inventory) -> Result<String, LowerError>` | the validated lowering view and the inventory at its revision | text, or a typed refusal naming the missing template | the corpus item, the scorer, any model |
| Wording of a scored item in English (golf loop, `golf-loop-model-lowerer`) | the ModelPort's answer to `Prompt::lower` (`context.rs`), read as `LoweringDraft` (`encode.rs`) and held in `run::score_round`'s locals | the admitted view, the inventory at its revision, en-US entity forms | `{"text"}`, scored once, never stored | the corpus item, the scorer, the editor |
| Wording of a packet in English (`weksa lower`, proof fixtures) | `crates/weksa/src/lower.rs`: `lower(&LoweringInput, &Inventory) -> Result<String, LowerError>` | the validated lowering view and the inventory at its revision | text, or a typed refusal naming the missing template | the corpus item, the scorer, the golf loop |
| English template table (concept words, frame templates, speech-act openers) | the same module, as rows `(inventory id, gloss it speaks for, surface)` | none; it is data in code | rows the lowerer looks up | the inventory (it owns the ids and glosses, not the English) |
| The inventory's concepts and frames | an inventory revision; here `inventory::proof_revision()` (rev 2), hand-seeded as `seed()` is | none | the 5 concepts and 2 frames `nibu-proof-001` names | the lowerer |
| The inventory's concepts and frames | an inventory revision; here `inventory::proof_revision()` (rev 2), hand-seeded as `seed()` is | none | the 6 concepts and 3 frames `nibu-proof-001` and the consent-gated request packet name | the lowerer |
| What a score counts | `Scorer::score` (unchanged) | output text, reference text | `ItemScore` | `weksa score`, which only reads text and calls it |
| The proof packet | `packet::proof_packet()`, typed ids of rev 2, admitted by `weksa packet proof <store>` through `PacketStore::admit`. Not JSON: `Packet`'s serde is CultCache's positional tuple, and JSON in is the xenos boundary the cut 7 encoder owns | none | admitted packet | the CLI decides nothing about validity |
@ -393,18 +669,24 @@ One line per cut; specs exist for the cuts about to run (2d and 4, siblings on `
2. `packet-store`: Rust crate with packet, inventory and corpus types, the validator, the derived split, the stores and the `weksa` CLI. Landed at `28284cc`.
2b. Landed. `packet-store-corpus`: corpus labels tell the truth (`corpus-labels-tell-truth`): `ModelFamily` and the generator string on `ModelWritten`; `item:nibu:1` ModelWritten (Unrecorded); `item:brokkr:1` and its fixture carry `codex-local-source-aware-draft`, family OpenAi; intake refuses aliased keys, a whole item changed under its key, and a held item's text under a new key; corpus.cc reseeded. Speaker state is not in 2b: it lives in Speaker and Scene documents and the packet's stance, not on the item. Waits on 2. (spec)
2c. Landed. `entity-store`: `ProperName` and `Referent.name` deleted; `EntityId`, `Referent.entity`, the `weksa.entity` document and its store; corpus name spans and entity-id speakers; the packet store's entity checks; seed entities and spans for the cast items; schema v2. Waits on 2b. (spec r1)
3. Landed at `869c82b`. `scorer`: chrF, meaning cosine behind an `Embedder` port (Ollama adapter with `num_thread`), leak diagnostics, aggregation by derived split; library only, `weksa score` comes with the loop. h2 landed the r2 fix pass on its branch; r3 deletes the name mask (the scorer reads output and reference only) and pools novel coverage per order over word keys that split joined labels. Waits on 2c for merge order. (spec r3)
3. Landed at `869c82b`. `scorer`: chrF, meaning cosine behind an `Embedder` port (Ollama adapter with `num_thread`), leak diagnostics, aggregation by derived split (Train and Validation only on the round path; Test only through `TestReadings::at_checkpoint`, which consumes a `Checkpoint`); library only, `weksa score` comes with the loop. h2 landed the r2 fix pass on its branch; r3 deletes the name mask (the scorer reads output and reference only) and pools novel coverage per order over word keys that split joined labels. Waits on 2c for merge order. (spec r3)
2d. `entity-door-lows`: invisible format characters refused in entity forms (ZWJ, ZWNJ, CGJ and variation selectors kept); the form length bound per question `form-word-bound` (recommended: bytes only); attested origins (`Cast { persona, fixture }`, `Live { persona }`) and `CastAuthored.author`; empty provenance strings refused at the store; S6 under NFKC plus case fold and no-alphanumeric texts refused; `next_key` refuses at `u32::MAX`; CLI flags that do not apply refuse and no error echoes a value. Owns follow-ups `entity-door-lows` and `s6-unicode-normal-form`. (spec r1)
3b. `lowerer-first-cut` (follow-up `golf-loop-lowerer-cut`): the section above. `lower`, `weksa lower`, `weksa score`, `weksa packet proof`, inventory rev 2 for `nibu-proof-001`.
4. `speaker-state`: packet `stance` (felt affect and restraint, slot `Stance`, packet schema v4); formality, warmth and intensity out of the seed and the standard; only `PacketStore::admit` yields a `LoweringInput`, and it refuses packets for withdrawn items (follow-up `lowering-input-from-packet-store`). (spec r1)
4a. `speaker-relation-input`: slot `Scene` and its first seed features (`relative_status`, `intimacy`, `in_group`; inventory revision 3, `scene_revision`); `LoweringInput::with_scene` takes the speaker's relation to the addressee as typed `Scene` feature values, validated like every feature list, refused without an addressee (V13). The English lowerer does not render it. 4b's `weksa.scene` document is its future supplier; no store, document or CLI yet. (PR for follow-up `chat-s3352-3352`)
4b. `speaker-scene`: slots `Speaker` and `Scene` with their seed features; `weksa.speaker` (`speaker:<entity-slug>@<n>`) and `weksa.scene` (`scene:<group>@<n>`, participants and ordered-pair relations) documents with `Annotator` `Operator` and `Model { family, generator }`, validated by the packet's shared feature check, append-only per key; their stores, `weksa speaker` and `weksa scene` commands, published schemas; Model-annotated cast speakers and scenes for the committed items. Waits on 2d and 4; `pd-speaker-annotation` blocks only the public-domain annotator.
5. `language-ontology`: `weksa.community` from `data/cultural-ontology/` (owns follow-up `edda-referent-yaml-parse`), `weksa.ontology_entry` for en-US and ja-JP from `data/target-language-ontology/` (YAML deleted), speaker communities, deterministic `select`, the lowering view (packet without trace, speaker, scene, selected entries). Waits on 4.
4a. `speaker-relation-input`: slot `Scene` and its first seed features (`relative_status`, `intimacy`, `in_group`; inventory revision 3, now `speaker_scene_revision`); `LoweringInput::with_scene` carries the speaker's relation to the addressee as typed `Scene` feature values. Since 4b it takes the `SpeakerStateStore` and the `CorpusStore`, reads the scene of the view's own item group for the item's speaker, and selects the relation by the addressee referent's entity (V16 when the scene does not list the item's speaker or the speaker of any live item of the group, the rule `put_scene` applies too; V17 refuses an addressee that names a predication; V13 is retired). The English lowerer does not render it. (PR for follow-up `chat-s3352-3352`)
4b. `speaker-scene` (spec r1; `speaker-scene-seeds` is its cut 4c: CLI, inventory revision 3, cast speakers and scenes; `Party::Unnamed` covers an addressee with no entity; Speaker and Scene share one `SpeakerStateStore`): slots `Speaker` and `Scene` with their seed features; `weksa.speaker` (`speaker:<entity-slug>@<n>`) and `weksa.scene` (`scene:<group>@<n>`, participants and ordered-pair relations) documents with `Annotator` `Operator` and `Model { family, generator }`, validated by the packet's shared feature check, append-only per key; their stores, `weksa speaker` and `weksa scene` commands, published schemas; Model-annotated cast speakers and scenes for the committed items. Waits on 2d and 4; `pd-speaker-annotation` blocks only the public-domain annotator. Part 1 landed (branch `weksa-lowering/speaker-scene`): `speaker.rs`, `SpeakerStateStore`, slots `Speaker` and `Scene` exclusive to their own feature lists, `speaker_scene_revision()` (Speaker features 22-24), `with_scene` on the store, schemas. The CLI, the committed inventory revision 3 and the seeds stay with 4c.
5. `language-ontology`, in sequential cuts on `d9ebbcf`. 5a `language-ontology` (spec r1): `weksa.ontology_entry`, `OntologyStore`, `ontology::select` over the view's `Stance` and `Discourse` features, `Prompt::lower` printing the selected entries of the item's language, `RunRecord` pinning the ontology store (keys 15 and 16), `weksa ontology admit|dump`; `ontology.rs` joins `PROMPT_SOURCE_DIGEST`. 5b `language-ontology-seed` (spec r1, after 5a): Model-annotated en-US and ja-JP seed entries drafted by an isolated model, `data/target-language-ontology/`, `.weksa/cultural-ontology/` and `schemas/target-language-cultural-ontology.md` deleted. Lost until 5c': keigo, hierarchy and uchi-soto hang on the scene relation from 5c', so ja-JP politeness is still the lowerer's guess. 5c' `language-ontology-scene` (spec r1, after 5b): the run pins the `SpeakerStateStore` (keys 17 and 18, `Drift(SpeakerState)`), `RunStores::assembled` is the one door that reads the item's scene into a loop view, `select` reads slot `Scene`, `Prompt::lower` refuses a view whose scene was never read, `weksa scene put|dump` and `weksa inventory speaker-scene` (rev 4 in data/original and data/daodejing, rev 3 in data/interlingua, which holds no Dao revision), Model-annotated keeper scenes and Scene-conditioned entries for `data/original`. 5c `language-ontology-view-assembly` (follow-up, now only the Speaker read): `select` widens to slot `Speaker`; waits on `speaker-scene-seeds`. 5d `language-ontology-communities` (follow-up): `weksa.community` built fresh (`data/cultural-ontology/` is deleted by 5e), community ids on `weksa.speaker`, community conditions; waits on 5c and question `persona-speech-community-home`.
5e. `delete-cultural-ontology` (steward ruling, 2026-11-13): `data/cultural-ontology/` (five draft YAML profile files and a README; `old-norse-edda-source-tradition.yaml` did not parse) deleted. Nothing in `crates/`, tests, scripts or CI read it; `examples/persona-lowering/brokkr-edda-voice/` cites its paths as text only (the one test that reads that example reads `lowered-output.yaml`). The typed `weksa.community` of follow-up `language-ontology-communities` is built fresh under cut 5; follow-up `edda-referent-yaml-parse` is moot.
6. `pd-importer`: public-domain play and fiction dialogue into the corpus with speaker, scene group, edition provenance, and Speaker and Scene annotations by the ruled annotator. Waits on 4, follow-up `gutenberg-terms` and question `pd-speaker-annotation`.
7. `golf-loop-en`: the loop driver, the Train-only context builder for inventory- and ontology-minting calls (follow-up `loop-context-builder-train-only`), the packet store bound to one inventory store (`packet-store-inventory-binding`), `ModelPort` with the `claude -p` adapter, encoder (packet with stance) and lowerer prompts, round records, Score documents, the composite and accept rule, `weksa score`, the detached unit on Yggdrasil. Waits on 3, 5, 6 and follow-up `claude-on-yggdrasil`.
6a. `pd-name-spans` (spec r1): `weksa corpus import <work> <names>` mints a work's cast as `PublicDomain` entities with forms in the work's language and adds each line a name-span answer covers, speaker from the work file, spans from `[[entity|form]]` markup, labelled `names_by` (Model or Operator) per `docs/name-span-annotation.md`. Speaker and Scene documents, prior turns and fiction speaker attribution stay with 6.
7a. `loop-context-builder`: `context.rs` (`TrainItems`, `EncoderOffer`, `Prompt`: corpus text reaches a model call only through `Prompt::mint` over live Train items or `Prompt::encode` over one offered item; instructions are the consts `MINT_INSTRUCTIONS` and `ENCODE_INSTRUCTIONS` in `context.rs`; `Checkpoint` has no public constructor, offers each item once, and its offers borrow it (the gate is typed `TestReadings` and Test offers on the round path; operator tools such as `weksa corpus dump` and `weksa score` still read corpus text of any split); prior turns print the held Train text), `SplitScheme::live`, `CorpusItem::cited_entities` (one owner of the id set `PacketStore::admit` and the offer share), and checkpoint-only Test readings (`Checkpoint`, `TestReadings`; `Aggregate` and `leak_diagnostic` carry no Test). Library only; since 7b `TrainItems::from_corpus` and `EncoderOffer::for_round` are crate-private and `RunStores` is their one public producer. Merges follow-ups `loop-context-builder-2` and `scorer-test-readings-type`. (spec r1)
7b. `golf-loop-round` (spec r1; branch `weksa-lowering/golf-loop-round`): the smallest loop that scores one round. `run.rs`: `RunStores` pins the corpus and entity stores of a run by canonical path and FNV-1a 64 digest at `create`, reopens only from `<root>/run.cc` and refuses drift (corpus, entities, `PROMPT_SOURCE_DIGEST` of `context.rs`, a second pin on `lower.rs` retired in 7d, model, embedder); `round` encodes every live Train and Validation item through a `ModelPort` (`model.rs`; the one adapter `AnswerFiles` writes `<digest>.prompt` and reads `<digest>.answer`, so the model is the Claude session), reads each answer into a `PacketDraft` (`encode.rs`, the one place a model's JSON is read), admits through `PacketStore::admit` into `<root>/round-<n>/packets.cc`, lowers, scores once, and keeps a `RoundRecord` (`weksa.loop_round`, no text, no Test; Train rows, Validation only as means and refusal counts). `weksa loop open|round`. Not here: the spec-edit step, accept rule and composite, noise floor, Score and lowering documents, a subprocess adapter, the checkpoint door, a model lowerer (follow-ups `golf-loop-spec-edit`, `golf-loop-accept-rule`, `golf-loop-score-documents`, `golf-loop-subprocess-adapter`, `golf-loop-checkpoint-door-bound`, `golf-loop-model-lowerer`). `packet-store-inventory-binding` is met for loop packets only (`RunStores` admits with the run's inventory); `validate`, `packet proof|dao` and `lower` still take caller stores. Waits on 7a, `checkpoint-gate`, 4b.
7c. `golf-loop-edit-accept` (spec r1; branch `weksa-lowering/golf-loop-edit-accept`): one edit-accept cycle. The run works on its own copy of the inventory (`create` copies the caller's file to `<root>/inventory.cc`, refusing a root that already holds a file of that name, and pins its digest as `RunRecord` key 11; `RunRecord.inventory` is provenance; a `run.cc` from before has no key 11 and does not open); the head is derived from the latest Accepted `Decision`. `weksa loop cycle` asks the editor for one inventory edit from `Prompt::mint(train, inventory, rev, feedback)` (Train blocks, the inventory listing and an `EditFeedback` line: whether the last edit was kept and the head's Validation composite rounded to `LADDER_STEP`, the Ladder release of Blum and Hardt 2015), reads it as an `EditDraft` (`encode.rs`; ids and revisions are the store's, `into_revision`), admits it through `InventoryStore::admit_revision` into `<root>/cycle-<k>/inventory.cc`, runs a candidate round under it, and `decide`s on Validation against the head's establishing round past a floor (never under one `LADDER_STEP`; from cut `cycle-floor-paired` the paired floor over rounds 1 to `FLOOR_ARMS_MIN` + 1, so a cycle needs four recorded rounds, where 7c measured the spread between rounds 1 and 2). An edit that fails is a rejected `Decision`, not an error. `RoundRecord` gains keys 16 (inventory digest) and 17 (cycle); an encode answer that is not UTF-8 is that item's parse refusal. Not here: Score and lowering documents (`golf-loop-score-docs`), Train rows in the edit prompt (`golf-loop-edit-train-feedback`), a paired floor (`golf-loop-paired-floor`), the checkpoint door and merging to `data/` (`golf-loop-checkpoint-door-bound`, `golf-loop-freeze-merge`), a model lowerer (landed as 7d: until then an entry an edit added had no lowering row). Waits on 7b.
7d. `golf-loop-model-lowerer` (spec r1; branch `weksa-lowering/golf-loop-model-lowerer`): the round lowers through the `ModelPort`. `Prompt::lower` (`context.rs`) takes a `LoweringInput` (no text, key, group or speaker getter), the item's speaker id, the inventory at the view's revision and the item language's entity forms, and prints `LOWER_INSTRUCTIONS`, the meaning of the packet, the entities line and the inventory listing; the item key goes only to `item_keys`, and the speaker id never prints: a referent citing the item's speaker holds the fixed token `entity:speaker` (`SPEAKER_TOKEN`, a constant the same for every speaker and item, never derived from an id) and the entities map holds the speaker's forms under that token. The promise guards the id that names an entity of this item; the speaker's forms and the role token do print, because forms are shared by every item of the language (follow-up `speaker-alias-token-in-lowering-prompt`, which restored the lowerer's ability to name its speaker after #84 removed it). A speaker the language has no form for, or the port lacks, does not refuse: its referents print no entity and the map has no entry. A referent citing the real id `entity:speaker` is refused (`LowerError::SpeakerTokenTaken`); the entity store does not reserve it. The answer is `{"text"}`, read as `LoweringDraft` in `encode.rs`, held in `score_round`'s locals and scored once; it is never put in `run.cc`, a `RoundRecord`, a `Decision` or `EditFeedback`. A round has two answer phases (every encode prompt, then every lowering prompt), all or nothing: while any prompt is unanswered `packets.cc` is discarded and nothing reaches `run.cc`. `lower::lower` and the template table leave the loop (they remain `weksa lower`'s; follow-up `table-retirement`), so an entry an edit adds can be said and a cycle can buy a gain. One source pin remains: `PROMPT_SOURCE_DIGEST` covers `context.rs`, `split.rs` and `lower.rs` (`RunRecord` key 7 and `RoundRecord` key 3 are retired). The run's record pins `LowererReach` (`weksa loop open --lowerer-reach briefed-subagent|tool-less-relay`, `RunRecord` key 12) and every printed round and cycle line says it; a briefed-subagent run says its numbers are smoke-round only (rulings `lowerer-call-reach-toolless-relay`, `dao-round-seed-inventory`). A lowering is refused at `Lower` when blank, over `MAX_LOWERING_BYTES` (4096) or holding a control character other than a line break or tab; `PROMPT_SOURCE_DIGEST` also covers `packet.rs`. Not here: per-item lowering text documents (`golf-loop-score-docs`), the subprocess adapter. Waits on 7c.
7. `golf-loop-en` (7b, 7c and 7d landed the round, `ModelPort` with `AnswerFiles`, encoder and lowering prompts, template digest, round records and the edit-accept cycle; the rest remains): the packet store bound to one inventory store everywhere (`packet-store-inventory-binding`), Score documents (`golf-loop-score-docs`, `golf-loop-score-documents`), the accept rule (`golf-loop-accept-rule`), the checkpoint door and freeze merge (`golf-loop-checkpoint-door-bound`, `golf-loop-freeze-merge`). No subprocess adapter and no detached unit: `golf-loop-in-claude` and `encoder-isolation-subagent-per-prompt` rule them out. Waits on 3, 5 and 6.
8. `style-axis`: a style-embedding score behind the scorer port. Waits on 3.
9. `ja-panel`: ja-JP into the loop's panel. Waits on 7.
9. `ja-panel`: ja-JP into the loop's panel, in two cuts on `e9cbd9b`. 9a `ja-panel-loop` (spec r1): language is the item's and the panel the run's: `Prompt::lower` takes the item's language and prints it on a language line (no prompt names English), entity forms are read in that language, `RunRecord` pins the panel (`weksa loop open --panel`), offers, mint and recall read only panel items, round means, floors and readings are per panel language, the accept rule runs `decide` per language, the recall split works on unspaced scripts, and `weksa corpus add` has no default language. 9b `ja-panel-corpus` (spec r1, after 9a): the ja-JP slice of `data/original`, model-written Japanese Train and Validation passages and eight Aozora Bunko public-domain Test sentences with full provenance, and their entities. Cut 5 is not a prerequisite: neither language lowers with ontology entries until cut 5 gives both theirs.
10. `conlang-lexicon`: the first conlang's lexicon placed at concept embeddings, its morphology data, its ontology entries and the gloss reader. Waits on 3, 5 and question `first-conlang`.
11. `convergence-freeze`: the convergence test, the freeze, the re-encode into training pairs. Waits on 7, 9 and 10.
12. `distil`: fine-tune a lowerer on the frozen training set. Waits on 11 and a host question asked then.
11. `convergence-freeze`: the convergence test, `Checkpoint`'s one door (built from the convergence window over the persisted round records), the freeze, the re-encode into training pairs. Waits on 7, 9 and 10.
12. `distil`, three cuts. 12a `distil-slice` (relower and the prompted baseline; spec r1). 12b `distil-export`: Train-only prompt/completion JSONL at a frozen revision, Test-text guarded (follow-up `distil-export-at-freeze`); waits on 11. 12c `distil-train`: waits on 12b and the host question (follow-up `distil-host-question-owed`).
13. `live-lowering`: agents emit packets with stance; Weksa reads speaker state from persona state (follow-up `persona-state-speech-community`) and lowers for the reader. Waits on 11.

View file

@ -25,8 +25,8 @@ ground truth is Discord text, which can never feed this loop
An agent's outward speech today is English text the model chose, so meaning,
register and voice are fused in one string nobody can inspect or re-target.
Weksa's design already separates them: the packet owns meaning, the target
profile owns address, politeness and forbidden flattenings, the lowerer owns
Weksa's design already separates them: the packet owns meaning, speaker and scene state own address and politeness
(the language ontology holds only per-language lexicon, grammar and discourse choices), the lowerer owns
surface text and a trace. The campaign makes that design real for a live
reader, and gives Weksa's Persona a working body when her mind
(`eureka-body:follow_up:weksa-mind`) wakes.

View file

@ -1,11 +1,8 @@
# CultCache Lowering Examples
These examples lower interlingua packets through CultCache cultural ontology
profiles rather than the older YAML-only target-language profiles.
The starter database is:
- `.weksa/cultural-ontology/starter-targets.cc`
These examples lower interlingua packets for separate target languages. The
language ontology that owns en-US and ja-JP choices is `data/ontology/ontology.cc`
(`weksa ontology dump`); its entries are model-drafted seeds.
Each target file is produced as a separate agent run so differences in target
ontology remain inspectable instead of being smoothed into one multilingual

View file

@ -8,10 +8,6 @@ Prompt:
- `prompts/nibu-cultcache-target-lowering.md`
CultCache profile store:
- `.weksa/cultural-ontology/starter-targets.cc`
Expected target outputs:
- `pt-BR-vanilla-brazilian.yaml`

View file

@ -1,7 +1,6 @@
schema_version: weksa.utterance_lowering.agent_run.v0
source_packet_id: nibu-proof-001
source_packet_ref: examples/english-lowering/nibu-proof-001/interlingua.yaml
target_profile_ref: .weksa/cultural-ontology/starter-targets.cc
target_profile_id: weksa.cultural_ontology.en.transatlantic.v0
target_agent_id: nibu
realization:
@ -11,8 +10,6 @@ realization:
locale: en-001
script: Latn
register: cultivated transatlantic English; cross-Atlantic intelligibility; measured technical warning
cultural_ontology_refs:
- .weksa/cultural-ontology/starter-targets.cc
cultural_ontology_profile_ids:
- weksa.cultural_ontology.en.transatlantic.v0
outputs:

View file

@ -1,7 +1,6 @@
schema_version: weksa.utterance_lowering.agent_run.v0
source_packet_id: nibu-proof-001
source_packet_ref: examples/english-lowering/nibu-proof-001/interlingua.yaml
target_profile_ref: .weksa/cultural-ontology/starter-targets.cc
target_profile_id: weksa.cultural_ontology.ja-JP.kanto.contemporary.v0
target_agent_id: nibu
realization:
@ -11,8 +10,6 @@ realization:
locale: ja-JP
script: Jpan
register: contemporary Kanto metropolitan clipped hazard warning
cultural_ontology_refs:
- .weksa/cultural-ontology/starter-targets.cc
cultural_ontology_profile_ids:
- weksa.cultural_ontology.ja-JP.kanto.contemporary.v0
outputs:

View file

@ -1,7 +1,6 @@
schema_version: weksa.utterance_lowering.agent_run.v0
source_packet_id: nibu-proof-001
source_packet_ref: examples/english-lowering/nibu-proof-001/interlingua.yaml
target_profile_ref: .weksa/cultural-ontology/starter-targets.cc
target_profile_id: weksa.cultural_ontology.pt-BR.vanilla_brazilian.v0
target_agent_id: nibu
realization:
@ -11,8 +10,6 @@ realization:
locale: pt-BR
script: Latn
register: casual_clear
cultural_ontology_refs:
- .weksa/cultural-ontology/starter-targets.cc
cultural_ontology_profile_ids:
- weksa.cultural_ontology.pt-BR.vanilla_brazilian.v0
outputs:

View file

@ -22,7 +22,7 @@ realizations:
script: Latn
register: sharp technical casual
cultural_ontology_refs:
- data/target-language-ontology/en-US.yaml
- data/ontology/ontology.cc
outputs:
visible_action: The cockpit lights snap from amber to surgical white around the damaged control.
spoken_text: "Take your hand off that control unless you want your nervous system to become my least useful circuit diagram."
@ -52,8 +52,6 @@ realizations:
locale: pt-BR
script: Latn
register: direct technical casual
cultural_ontology_refs:
- data/target-language-ontology/pt-BR.yaml
outputs:
visible_action: As luzes do cockpit passam de âmbar para branco cirúrgico ao redor do controle danificado.
spoken_text: "Tira a mão desse controle, a não ser que você queira transformar o seu sistema nervoso no meu diagrama de circuitos menos útil."
@ -90,7 +88,7 @@ realizations:
script: Jpan
register: sharp technical plain
cultural_ontology_refs:
- data/target-language-ontology/ja-JP.yaml
- data/ontology/ontology.cc
outputs:
visible_action: 損傷した制御盤の周囲で、操縦室の灯りが琥珀色から外科灯のような白へ切り替わる。
spoken_text: "その制御盤から手を離して。神経系を、私のいちばん役に立たない回路図にしたくないなら。"

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@ -7,7 +7,7 @@ referent without falling into generic fantasy-smith voice.
The test is deliberately small: one interlingua packet, one rendered utterance,
and one trace naming the activated cultural ontology axes.
Profile stack:
Profile stack (these files were deleted from main by cut `delete-cultural-ontology`; they remain in git history before that commit, and the paths below are kept as the fixture's record of what it cited):
- `data/cultural-ontology/persona-stacks/brokkr.yaml`
- `data/cultural-ontology/referents/old-norse-edda-source-tradition.yaml`

View file

@ -1,6 +1,7 @@
schema_version: weksa.persona_lowering_fixture_batch.v0
fixture_id: brokkr-edda-voice
speaker_id: brokkr
# The data/cultural-ontology files cited below were deleted from main (cut delete-cultural-ontology); see git history.
cultural_stack_ref: data/cultural-ontology/persona-stacks/brokkr.yaml
target_register:
language: en-US

View file

@ -1,6 +1,7 @@
schema_version: weksa.persona_culture_lowering_trace.v0
fixture_id: brokkr-edda-voice
item_id: command-without-receipt
# The data/cultural-ontology files cited below were deleted from main (cut delete-cultural-ontology); see git history.
profile_stack:
- profile_id: weksa.cultural_referent.old_norse_edda_source_tradition.v0
ref: data/cultural-ontology/referents/old-norse-edda-source-tradition.yaml

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