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gparse-test-predict-paths

The groupant beside gparse/tests/predict_paths.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
astpartialsyntax.json
compositionpartialcomposition
costsymbolic source derivedinvariant
descriptantpresentdescriptant
evidenceexecuted finite checksevidence
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
fallback_boundaryfallback_boundarypartial source derived modelfallback_boundary
effect_boundaryeffect_boundarypartial source derived modeleffect_boundary
assurance_scopeassurance_scopepartial source derived modelassurance_scope
failure_precedencefailure_precedencepartial source derived modelfailure_precedence

Parts

Model text

descriptant

Source-bound description

New synthetic CPU Net d=8/one layer predicts empty, singleton and max_len=4 fallback; ordinary and scored outputs must match, singleton root label forced, fallback original tuples and zero scores retained. Original ignored GPU experiment loads external model/corpus and repeats six alternating rounds; not run.

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

New synthetic CPU Net d=8/one layer predicts empty, singleton and max_len=4 fallback; ordinary and scored outputs must match, singleton root label forced, fallback original tuples and zero scores retained. Original ignored GPU experiment loads external model/corpus and repeats six alternating rounds; not run.

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

Synthetic scores finite; empty and overlength zero, original order retained. Exact selected tuple equality is not trained-model corpus accuracy.

Cost

Small CPU encoder plus O(1³) decode and fixture setup; original experiment scales with external sentence limit.

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

composition

Composition

New synthetic CPU Net d=8/one layer predicts empty, singleton and max_len=4 fallback; ordinary and scored outputs must match, singleton root label forced, fallback original tuples and zero scores retained. Original ignored GPU experiment loads external model/corpus and repeats six alternating rounds; not run.

Scoped children

The byte-scoped children project distinct internal relations through the parent syntax file. The parent combines them in actual source order. Remaining declarations/tests outside child ranges belong to this parent. Their correctness does not establish external caller preconditions.

Interfaces and limits

Synthetic scores finite; empty and overlength zero, original order retained. Exact selected tuple equality is not trained-model corpus accuracy.

Fallback output admits input trees exactly copied at lengths>=max_len; short discrete predictions admit many parameter/logit states. Timing medians cannot reconstruct per-run values.

models

Typed model catalog

behavior_complement

Passing selected assertions excludes their stated counterexamples within the fixtures. External saved-model/corpus experiment remains unexecuted; success of helper checks cannot establish it.

reverse_reconstruction

Fallback output admits input trees exactly copied at lengths>=max_len; short discrete predictions admit many parameter/logit states. Timing medians cannot reconstruct per-run values.

fallback_boundary

len==max_len takes fallback; len<max_len goes through decoder, empty skipped.

effect_boundary

Selected test process owns local fixture tensors/state; explicit CUDA tests serialize. No teacher/API, dataset or external model reads selected.

assurance_scope

Compiled selected assertions establish only finite observations; ignored experiments and backend allocation failures remain gaps.

failure_precedence

Fixture creation and backend operations must succeed before assertions; a compile-only result is distinct from executed assertions.

tests

Checks and limits

synthetic_cpu_prediction_preserves_slots_and_fallback

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.

See source execution evidence for exact names and unexecuted paths.

evidence

Execution evidence — 2026-10-31

Source: gparse/tests/predict_paths.rs

Controls

0 source-local compiled assertion mutants; 1 observed control tests including dependency mutations. Mutant compile exit0, assertion exit101, byte-exact restoration and positive rerun exit0. Per-source controls are listed in external source-test-map.json, not implied for every source.

Limits

Only synthetic CPU fixture; original external model/corpus timing experiment not run.

CUDA softmax comparisons use absolute tolerance2e-6. GELU grid maxima observed: values0.0004734993, derivatives0.00086838007, finite difference0.0000005534244635896357; respective strict caps5e-4/1e-3/1e-5. These are finite observations, not percentage profiles or throughput claims.

Receipts: external wave30 gparse run native-commands.json, results.json, controls.json and source-test-map.json. Sorted exact test names/outcomes match per profile; numeric diagnostics and timings need not be byte-identical. Strict scoped library Clippy reports ten pre-existing production lints; appended test blocks were formatted independently without production reformatting.

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