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
| component | label | where |
|---|---|---|
| approximant | partial | approximant |
| ast | partial | ../syntax.json |
| cost | symbolic source derived | invariant |
| descriptant | present | descriptant |
| invariant | partial | invariant |
| tests | unexecuted source derived scope | 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 |
read_order | read_order | partial source derived model | read_order |
device_choice | device_choice | partial source derived model | device_choice |
partial_effect | partial_effect | partial source derived model | partial_effect |
missing_parameter | missing_parameter | partial source derived model | missing_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.
This page in Markdown โ https://md.groupants.elamur.ai/free/en/mova/gparse/src/lib.rs.groupant/loading.groupant/