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mlab-builtins-mod-dimensions

The groupant beside mlab/src/builtins/mod.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
approximantpartialapproximant
astpartial../syntax.json
costsymbolic source derivedinvariant
descriptantpresentdescriptant
invariantpartialinvariant
testsexecuted bounded checkstests

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
behavior_complementbehavior_complementpartial source derived modelbehavior_complement
reverse_reconstructionreverse_reconstructionpartial source derived modelreverse_reconstruction
state_invariantstate_invariantpartial source derived modelstate_invariant
failure_precedencefailure_precedencepartial source derived modelfailure_precedence
representation_transportrepresentation_transportpartial source derived modelrepresentation_transport
resource_costresource_costpartial source derived modelresource_cost

Model text

descriptant

mlab-builtins-mod-dimensions

Filter char values, dispatch by numeric argument count, map dimensions with NaN rejection then clamp/floor/saturating cast; constrain higher dimensions to one.

Modeling epoch โ€” 2026-10-31

Prospective source read preceded edits. Bounded synthetic checks and selected existing safe tests exercise actual code; paired debug/release results and compiled negative-control assertions are retained externally. Frozen scenario, corpus, external measurement, full-school and training effects are unexecuted. Partial lexical syntax supplies no macro-expanded or semantic proof.

approximant

Forward relation

Filter char values, dispatch by numeric argument count, map dimensions with NaN rejection then clamp/floor/saturating cast; constrain higher dimensions to one.

Domain

Valid Rust value/storage invariants and available bounded resources; exact branch and effect observations only.

Executable approximant gap

No useful percentage-error surrogate is established for these categorical, textual or effectful observations. Supported future caps are 1%, 2%, 5%, 10%; no executable approximation or production substitution is claimed.

invariant

Invariants and costs

The helper returns a pair only and does not allocate the requested matrix.

Failure ordering

Nonscalar multiargument input is Invalid call; one vector with >2 elements rejects any raw trailing value not exactly 1.

Cost

O(number of supplied values and inspected dimensions); input Mat invariants assumed.

models

Typed models โ€” mlab-builtins-mod-dimensions

Source-derived partial relations; finite checks do not prove universality.

behavior_complement

Negative dimensions exclude negative output sizes. More than two nonunit trailing dimensions exclude successful 2D shape.

reverse_reconstruction

(2,2) admits scalar 2.9, vector [2,2], two scalar args 2 and 2 plus skipped class strings; shape does not identify original arity.

state_invariant

The helper returns a pair only and does not allocate the requested matrix.

failure_precedence

Nonscalar multiargument input is Invalid call; one vector with >2 elements rejects any raw trailing value not exactly 1.

representation_transport

Empty numeric vector maps 0x0 whereas absent numeric arguments maps 1x1.

resource_cost

O(number of supplied values and inspected dimensions); input Mat invariants assumed.

tests

Evidence and limitations

Parent source checks: builtins::wave30_tests::registry_and_dimensions. The fragment's actual statements lie in the recorded byte range; parent checks need not exercise every branch in this fragment. See ../tests.md for source-level control and limitations.

AST projection generated twice to fresh files and compared byte-for-byte. Runtime evidence is finite and does not establish every branch, allocation failure, backend implementation or effect path. No optimization or speed claim.

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