Elamur Groupantsmova-nautilus-layer
The groupant beside tools/nautilus/src/layer.rs in the Mova repository: what the code computes, what it never does, how to go back from its outputs, its invariants, cost and checks.
Facts
Implementation material. A Mova code model describes this code at one source revision: partial models, finite checks and their stated scope. It is not a reviewed general exposition, and its labels are shown as written, never raised.
Components
| component | label | where |
|---|---|---|
| approximant | partial | Forward approximant |
| ast | partial | syntax.json |
| composition | partial | Composition |
| cost | partial | Cost |
| descriptant | present | Descriptant |
| invariant | partial | Invariant |
| tests | finite evidence | tests |
Obernants
The typed relations around the forward model: the behaviour complement (what the code never does), the reverse reconstruction (every input compatible with an output) and specialised views.
| id | type | label | where |
|---|---|---|---|
behavior_complement | behavior_complement | partial source derived model | behavior_complement |
reverse_reconstruction | reverse_reconstruction | partial source derived model | reverse_reconstruction |
Model text
model
mova-nautilus-layer
Descriptant
A dictionary layer from annotated units, natively: content lemmas (NOUN/VERB/ADJ/ADV) counted, top N by count, documents, lemma; part of speech and meaning from the pupils' dictionary; a counted sense (uses, documents, UPOS share, classes, co-occurring words); up to three examples with source ids; the school-layer TSV with a draft line; stats and parse_rows. Source: tools/nautilus/src/layer.rs.
Forward approximant
units -> count (BTreeMap per lemma: uses, documents, UPOS, classes, co-occurrence, unit order) -> sort (count desc, documents desc, lemma) -> take top -> Row{word, base pos/meaning or UPOS name, counted sense, examples (new document first, 20..220 chars, source order), draft note} -> render (HEAD, draft line, rows).
Invariant
Same units, base and source give the same bytes; rows <= top; every example ends with its unit id; parse_rows(render(rows)) == rows for tab-free rows.
Cost
O(tokens log lemmas) counting plus O(L log L) sorting.
Composition
Parent: nautilus. Parent: nautilus. Used by animal::make, work::DictJob and mova-turtle::make. State: Pure functions over in-memory units.
behavior_complement
Does not write senses, disambiguate meanings, lemmatize itself, read proper nouns, function words or tokens with digits, or call any model; the meaning is copied, not checked against the source. Evidence status: source-derived model with finite checks, not a proof.
reverse_reconstruction
From a layer one recovers the selected lemmas, their counts, documents, classes, top co-occurring words and chosen example ids; not the units that were not chosen, nor the annotation of each token. No unique inverse is claimed.
Epoch 2026-11-04
First model, written with the source; no prospective prediction is claimed beyond the checks.
tests
Checks
Command: cargo test --manifest-path tools/nautilus/Cargo.toml --offline --locked with MOVA_OCTOPUS_TEST_MODEL=$MOVA_DATA/download/0/0.4/en.bin (15 unit + 2 English tests; two identical runs on 2026-11-04).
Negative controls 2026-11-04 (each red, restored): no operator-word check; no terminal-id check; a limit not stopping the loop; stats drafting instead of reading. These are finite fixtures; no teacher or model was called; not a proof.
This page in Markdown ā https://md.groupants.elamur.ai/free/en/mova/tools/nautilus/src/layer.rs.groupant/