---
title: "wordgraph-tamp-corpus — Mova code model"
description: "Mova code model of wordgraph/tamp/src/corpus.rs: components with their labels, obernants and the model text."
url: "https://groupants.elamur.ai/free/en/mova/wordgraph/tamp/src/corpus.rs.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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# wordgraph-tamp-corpus

The groupant beside wordgraph/tamp/src/corpus.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
- **status:** partial source bound model
- **source:** [`wordgraph/tamp/src/corpus.rs`](https://github.com/ElamurAI/mova-free/blob/main/wordgraph/tamp/src/corpus.rs)
- **repository folder:** [`wordgraph/tamp/src/corpus.rs.groupant`](https://github.com/ElamurAI/mova-free/tree/main/wordgraph/tamp/src/corpus.rs.groupant)

> **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` |
| **Composition** | partial | [Composition](#composition) |
| **Cost** | partial | [Cost](#cost) |
| **Descriptant** | present | [Descriptant](#descriptant) |
| **Invariant** | partial | [Invariant](#invariant) |
| **Tests** | executed 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.

| relation | 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) |

## Model text


### Descriptant

The statements of every cached reading, loaded once: per unit the paper, sentence index, part, text, clauses,
content sequence (before synonyms), content lemma words and the own/result cues; per corpus the vocabulary (lemma ->
majority content UPOS, papers using it).

### Approximant

load(store, papers) = concat over papers in order of [Unit(s) | s ∈ record.stmts]; vocab(l) = (argmax_upos count,
|{papers using l}|).

### Invariant

Units in paper order then sentence order; a paper without a cache is skipped; vocab ties broken by UPOS name.

### Cost

Linear in the cached records; 486,401 units in ≈ 10 s and < 1 GB.

### Composition

Uses `read::load`, `norm`, `importance::{own, result}`; feeds `cluster`, `anchor`, `build`.

### Tests

Through `cluster` tests (hand-built corpora) and the real builds.

### Behavior complement

Keeps no tree, no per-token lemma list (memory), no part hierarchy.

### Reverse reconstruction

Each unit points back to (paper id, sentence index) in the cached record.

## Provenance

- **source SHA-256:** `0d467f3aa45d262f…`
- **repository commit:** `9c26aadad2d4`