Elamur Groupants⌕
☰

mlab-numerics-numeric-trapezoid

The groupant beside mlab/src/builtins/numeric.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
spacing_unitsspacing_unitspartial source derived modelspacing_units
length_gatelength_gatepartial source derived modellength_gate
orientationorientationpartial source derived modelorientation
complex_projectioncomplex_projectionpartial source derived modelcomplex_projection

Model text

descriptant

mlab-numerics-numeric-trapezoid

trapz chooses row-vector or column slices; optional scalar X is uniform step, other X must have slice length. Each output sums (X[t]-X[t-1])*(Y[t]+Y[t-1])/2 or default spacing1.

Modeling epoch 2026-10-31

Prospective source reading preceded inline tests. This node records implementation behavior, not a complete MATLAB compatibility contract. Models retain limits discovered in source reading, including real-only projections and warning-only result gates. Synthetic CPU fixtures are independent of frozen suites. No external effects, teacher, corpora or benchmark main are executed.

approximant

Forward relation

trapz chooses row-vector or column slices; optional scalar X is uniform step, other X must have slice length. Each output sums (X[t]-X[t-1])*(Y[t]+Y[t-1])/2 or default spacing1.

Executable Rust surrogate gap: no calibrated replacement is attached. Exact test calls are evidence for the reference, not a fast approximant. Numerical approximants would need a named domain, zero convention and metric at supported caps 1/2/5/10%; categorical errors/effects have no percent surrogate here.

invariant

Invariants and cost

Output scalar for one slice, row for multiple; zero/one-length slices accumulate0. Nonmonotone X gives signed widths without error.

Cost

O(N) sampled cells, O(columns) output.

Allocation failure, unchecked usize dimension arithmetic and IEEE nonfinite propagation are outside finite fixture guarantees. No measured throughput or global accuracy claim.

models

Typed source models: mlab-numerics-numeric-trapezoid

behavior_complement

Wrong non-scalar X length excludes accumulation. A single sample excludes nonzero contribution regardless scalar step. Imaginary components cannot influence this real-only implementation.

reverse_reconstruction

For fixed X, output defines one linear weighted-sum constraint per Y slice; arbitrary perturbations in its nullspace produce same result. Uniform scaling of X and inverse scaling of Y preserve integral absent rounding.

spacing_units

trapz(2,[1,3,5])=2*(1+3)/2+2*(3+5)/2=12.

length_gate

X length2 with Y row length3 errors before data indexing.

orientation

row1 uses cols as length and one output; other matrices integrate columns.

complex_projection

Only re vectors are read, so this scope does not implement complex integration.

tests

Evidence and limits

Selected wave30_tests exercise this source; fragment-specific limits are stated in its operators.

Native command specifications, numeric exits, profile-paired logs, compiled controls and exact-restoration receipts are retained externally in the wave30 numerics run. Tests exercise actual source, not a copied model. The selected finite fixtures do not prove full convergence, backend accuracy on all matrices, resource exhaustion or side-effectful callback behavior.

This page in Markdown → https://md.groupants.elamur.ai/free/en/mova/mlab/src/builtins/numeric.rs.groupant/numeric-trapezoid.groupant/