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gparse-library-loading

The groupant beside gparse/src/lib.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
testsunexecuted source derived scopetests

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
read_orderread_orderpartial source derived modelread_order
device_choicedevice_choicepartial source derived modeldevice_choice
partial_effectpartial_effectpartial source derived modelpartial_effect
missing_parametermissing_parameterpartial source derived modelmissing_parameter

Model text

descriptant

Source-bound description

load_vars reads safetensors then sets present variables; load builds config/vocabs/device/net first.

Epoch 2026-10-31

Prospective model was recorded before edits. Added tests use bounded synthetic fixtures; production algorithms unchanged. Coverage is partial, not proof. No trained corpus, live teacher or throughput experiment was executed.

approximant

Forward approximant

load_vars reads safetensors then sets present variables; load builds config/vocabs/device/net first.

Domain: valid source-specific dimensions and resources stated in invariant; no automatic production substitution. Numerical observations are finite checks, not an end-to-end relative bound. Executable Rust surrogate: unsupported gap; existing exact tests are not surrogates. Future metric-specific caps may be 1/2/5/10%, never above 10%.

invariant

Invariant and cost

Missing named tensor preserves random init, shape errors can occur after other sets.

Cost

O(file bytes+parameter elements), device memory proportional to model.

Allocation, finite arithmetic, platform dimensions and external failures are not universally certified.

models

Typed model catalog

behavior_complement

Missing tensor name cannot force zero initialization; it preserves allocated value.

reverse_reconstruction

Final variables are compatible with files omitting initialized names or including equal values; missing/explicit equality is indistinguishable.

read_order

cfg precedes words/xpos/upos/rels, then device/Net then safetensors.

device_choice

Presence of GP_CPU forces CPU, irrespective of its text value.

partial_effect

var.set may fail after previous variables were changed; no rollback.

missing_parameter

Unknown extra tensors ignored, absent expected tensors keep initialization.

tests

Checks and limits

This exact fragment remains source-derived and unexecuted in this epoch. Parent/sibling selected evidence, not runtime coverage of this fragment: synthetic_cpu_prediction_preserves_slots_and_fallback (actual predict and predict_scored); load/load_vars remain source-modeled, no model-file runtime claim

Selected commands run twice debug and twice release; exact receipts and source-to-test mapping retained in wave30 gparse external run directory. Tests do not certify allocation failure, all NaN/overflow inputs, trained-model accuracy or corpus timing. Compiled mutants cover selected boundaries; per-source coverage is recorded in the external map, not presumed.

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