---
title: "gparse-cli-score — Mova code model"
description: "Mova code model of gparse/src/main.rs: components with their labels, obernants and the model text."
url: "https://groupants.elamur.ai/free/en/mova/gparse/src/main.rs.groupant/score.groupant/"
---
Elamur: [Mova](https://md.mova.elamur.ai/free/en/) · [Dictionary](https://md.dictionary.elamur.ai/free/en/) · [Research](https://md.research.elamur.ai/free/en/) · **Groupants**

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# gparse-cli-score

The groupant beside gparse/src/main.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

- **kind:** groupant_fragment
- **status:** partial source bound model
- **source:** [`gparse/src/main.rs`](https://github.com/ElamurAI/mova-free/blob/main/gparse/src/main.rs)
- **source SHA-256:** `e42b84f188b56efd…`
- **covers:** score zips inputs and predictions, counts head, joint head/relation and independent tags then returns percentages. (bytes 2991–3606)
- **part of:** [gparse-cli](https://md.groupants.elamur.ai/free/en/mova/gparse/src/main.rs.groupant/)
- **repository folder:** [`gparse/src/main.rs.groupant/score.groupant`](https://github.com/ElamurAI/mova-free/tree/main/gparse/src/main.rs.groupant/score.groupant)
- **repository commit:** `48f2e6f74146`

> **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](#approximant) |
| **ast** | partial | `../syntax.json` |
| **cost** | symbolic source derived | [invariant](#invariant) |
| **descriptant** | present | [descriptant](#descriptant) |
| **invariant** | partial | [invariant](#invariant) |
| **tests** | partial bounded checks | [tests](#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](#behavior-complement) |
| `reverse_reconstruction` | reverse_reconstruction | partial source derived model | [reverse_reconstruction](#reverse-reconstruction) |
| `zip_boundary` | zip_boundary | partial source derived model | [zip_boundary](#zip-boundary) |
| `empty_metric` | empty_metric | partial source derived model | [empty_metric](#empty-metric) |
| `joint_label` | joint_label | partial source derived model | [joint_label](#joint-label) |
| `tag_metric` | tag_metric | partial source derived model | [tag_metric](#tag-metric) |

## Model text


### descriptant

#### Source-bound description

score zips inputs and predictions, counts head, joint head/relation and independent tags then returns percentages.

##### 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.

##### Epoch 2026-11-04

breakdown counts (words, right heads, right heads and relations) per length bucket, per seen/unseen word and per GUM genre, ordered length buckets first, then seen/unseen, then genres by name; eval prints them as rates under the unchanged overall line.

### approximant

#### Forward approximant

score zips inputs and predictions, counts head, joint head/relation and independent tags then returns percentages.

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

n=0 returns four zeros; wrong head always gives LAS zero for that token.

##### Cost

O(zipped token pairs), O(1) counters.

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

### models

## Typed model catalog

### behavior_complement

Correct relation with wrong head cannot increment LAS.

### reverse_reconstruction

A tuple of aggregate scores allows permutations and unmatched suffixes; n counts only paired tokens.

### zip_boundary

Unmatched sentence/token suffixes never increment n.

### empty_metric

Denominator max(n,1) gives all-zero metrics at n=0.

### joint_label

LAS increments only inside correct-head branch.

### tag_metric

XPOS and UPOS comparisons independent of head/relation.

### tests

#### Checks and limits

Selected parent checks relevant to this fragment (not exhaustive): wave30::score_zip_and_plan_failure_precedence; train/eval/annotate external effects remain unexecuted

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.