Elamur Groupants⌕
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prag-infer-scalar

The groupant beside prag/src/infer.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

componentlabelwhere
approximantpartial source modelforward
astpartial../syntax.json
compositionpartial source modelcomposition
costpartial source modelcost
descriptantpartial source modelepoch-memory
invariantpartial source modelinvariant
testsbounded executed evidence../model.md#evidence

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.

idtypelabelwhere
prag-infer-scalar-behavior-complementbehavior_complementpartial source modelbehavior-complement
prag-infer-scalar-reverse-reconstructionreverse_reconstructionpartial source modelreverse-reconstruction
prag-infer-scalar-suppressiongate_partitionpartial source modelsuppression

Model text

forward

Lowercase lemmas and space-joined lowercase forms. For tokens in order, visit fixed SCALES in order. A nonmaximal matching item supplies its stronger suffix. Reject if any stronger lemma occurs anywhere, negated(W,i), or any cancellation substring occurs in joined forms. Reject non-Cc or. Reject a prior result with the same surface trigger whose content contains the strongest item. Otherwise emit strongest negation and intermediate alternatives with Quantity explanation.

behavior-complement

Universe: (W, finite scalar-result vector), valid caller index for negated. Inner absent-behavior model includes an emission from maximal hot/all, an or emission whose relation is not Cc, a warm-to-hot emission under cancellation, or two identical some surface results from the duplicate fixture. Stronger presence is sentence-wide; this is not a scope-aware semantic exclusion. The literal and tokenized fixtures independently assert those cases.

reverse-reconstruction

For fixed scalar vector, keep all W whose ordered candidate stream after filters and duplicate collapse renders that vector. Identical surface some tokens may collapse; lemma case is lost; absence cannot distinguish maximal scale words, no matching words or cancellation. Output preserves trigger spelling but not original token position or dependency graph. Exact converse is specified; no exhaustive solver or unique reconstruction is claimed.

suppression

Hold one weak candidate fixed. Let A be stronger presence, N the negated predicate, C the sentence cancellation flag, R the or relation gate and D prior duplicate state. Emit iff not(A or N or C or R or D). These flags may overlap; partition by first encountered rejecting branch in Rust, not independent semantic causes. The tokenized warm/if/not/all fixture has no stronger warm-scale item and explicitly checks N=false, isolating C. Single-Word multiword forms additionally test literal substring behavior only.

invariant

Token/scale traversal order decides first duplicate survivor. All emitted scalar results are licensed. negated requires i<n and tests negation lemma plus child/shared-head/preceding position; irony supplies indices from enumeration. The helper is not a general tree validator.

composition

Negation and cancellation feed candidate gates; duplicate detection observes already emitted results, so scalar candidates are not independent. No learned feature rows or model scores are consulted.

cost

O(n²) with fixed tables and bounded strings, from repeated presence/negation and duplicate scans; output-length and substring costs remain explicit parameters for unbounded strings. No observed timing claim.

epoch-memory

The four pre-existing infer tests plus six new tests pass on bounded fixtures. No production scalar rule changed. Non-tokenized cancellation was supplemented with separate Word tokens after review to distinguish a substring witness from realistic annotation structure. No live parser was used.

This page in Markdown → https://md.groupants.elamur.ai/free/en/mova/prag/src/infer.rs.groupant/scalar.groupant/