Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'
This commit is contained in:
ruv
181
vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/README.md
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# ruvector-graph-transformer-wasm
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[](https://crates.io/crates/ruvector-graph-transformer-wasm)
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[](LICENSE)
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**WebAssembly bindings for RuVector Graph Transformer — proof-gated graph attention, verified training, and 8 specialized graph layers running client-side in the browser.**
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Run the full graph transformer in any browser tab — no server, no API calls, no data leaving the device. Every graph mutation is formally verified client-side, so your users get the same mathematical safety guarantees as the Rust version. The WASM binary is size-optimized and loads in milliseconds.
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## Install
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```bash
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# With wasm-pack (recommended)
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wasm-pack build crates/ruvector-graph-transformer-wasm --target web
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# Or from npm (when published)
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npm install ruvector-graph-transformer-wasm
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```
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## Quick Start
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```javascript
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import init, { JsGraphTransformer } from "ruvector-graph-transformer-wasm";
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await init();
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const gt = new JsGraphTransformer();
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console.log(gt.version()); // "2.0.4"
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// Proof-gated mutation
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const gate = gt.create_proof_gate(128);
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const proof = gt.prove_dimension(128, 128);
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console.log(proof.verified); // true
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// 82-byte attestation for RVF witness chains
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const attestation = gt.create_attestation(proof.proof_id);
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console.log(attestation.length); // 82
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// Sublinear attention — O(n log n)
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const result = gt.sublinear_attention(
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new Float32Array([0.1, 0.2, 0.3, 0.4]),
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[{ src: 0, tgt: 1 }, { src: 0, tgt: 2 }],
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4, 2
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);
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// Verified training step with certificate
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const step = gt.verified_training_step(
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[1.0, 2.0], [0.1, 0.2], 0.01
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);
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console.log(step.weights, step.certificate);
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// Physics: symplectic integration
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const state = gt.hamiltonian_step([1.0, 0.0], [0.0, 1.0], 0.01);
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console.log(state.energy);
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// Biological: spiking attention
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const spikes = gt.spiking_attention(
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[0.5, 1.5, 0.3], [[1], [0, 2], [1]], 1.0
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);
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// Manifold: mixed-curvature distance
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const d = gt.product_manifold_distance(
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[1, 0, 0, 1], [0, 1, 1, 0], [0.0, -1.0]
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);
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// Temporal: causal masking
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const scores = gt.causal_attention(
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[1.0, 0.0],
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[[1.0, 0.0], [0.0, 1.0]],
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[1.0, 2.0]
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);
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// Economic: Nash equilibrium
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const nash = gt.game_theoretic_attention(
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[1.0, 0.5, 0.8],
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[{ src: 0, tgt: 1 }, { src: 1, tgt: 2 }]
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);
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console.log(nash.converged);
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// Stats
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console.log(gt.stats());
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```
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## API
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### Proof-Gated Operations
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `new JsGraphTransformer(config?)` | `JsGraphTransformer` | Create transformer instance |
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| `version()` | `string` | Crate version |
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| `create_proof_gate(dim)` | `object` | Create proof gate for dimension |
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| `prove_dimension(expected, actual)` | `object` | Prove dimension equality |
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| `create_attestation(proof_id)` | `Uint8Array` | 82-byte proof attestation |
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| `verify_attestation(bytes)` | `boolean` | Verify attestation from bytes |
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| `compose_proofs(stages)` | `object` | Type-checked pipeline composition |
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### Sublinear Attention
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `sublinear_attention(q, edges, dim, k)` | `object` | Graph-sparse top-k attention |
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| `ppr_scores(source, adj, alpha)` | `Float64Array` | Personalized PageRank scores |
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### Physics-Informed
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `hamiltonian_step(positions, momenta, dt)` | `object` | Symplectic leapfrog step |
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| `verify_energy_conservation(before, after, tol)` | `object` | Energy conservation proof |
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### Biological
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `spiking_attention(spikes, edges, threshold)` | `Float64Array` | Event-driven spiking attention |
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| `hebbian_update(pre, post, weights, lr)` | `Float64Array` | Hebbian weight update |
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| `spiking_step(features, adjacency)` | `object` | Full spiking step over feature matrix |
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### Verified Training
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `verified_step(weights, gradients, lr)` | `object` | SGD step + proof receipt |
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| `verified_training_step(features, targets, weights)` | `object` | Training step + certificate |
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### Manifold
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `product_manifold_distance(a, b, curvatures)` | `number` | Mixed-curvature distance |
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| `product_manifold_attention(features, edges)` | `object` | Product manifold attention |
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### Temporal-Causal
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `causal_attention(query, keys, timestamps)` | `Float64Array` | Temporally masked attention |
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| `causal_attention_graph(features, timestamps, edges)` | `Float64Array` | Causal graph attention |
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| `granger_extract(history, num_nodes, num_steps)` | `object` | Granger causality DAG |
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### Economic
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `game_theoretic_attention(features, edges)` | `object` | Nash equilibrium attention |
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### Meta
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| Method | Returns | Description |
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|--------|---------|-------------|
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| `stats()` | `object` | Aggregate proof/attestation statistics |
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| `reset()` | `void` | Reset all internal state |
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## Building
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```bash
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# Web target (recommended for browsers)
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wasm-pack build crates/ruvector-graph-transformer-wasm --target web
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# Node.js target
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wasm-pack build crates/ruvector-graph-transformer-wasm --target nodejs
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# Cargo check
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cargo check -p ruvector-graph-transformer-wasm
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```
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## Bundle Size
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The WASM binary is optimized for size with `opt-level = "s"`, LTO, and single codegen unit.
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## Related Packages
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| Package | Description |
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|---------|-------------|
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| [`ruvector-graph-transformer`](../ruvector-graph-transformer) | Core Rust crate (186 tests) |
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| [`@ruvector/graph-transformer`](../ruvector-graph-transformer-node) | Node.js NAPI-RS bindings |
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| [`ruvector-verified-wasm`](../ruvector-verified-wasm) | Formal verification WASM bindings |
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## License
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MIT
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31
vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/package.json
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vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/package.json
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{
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"name": "ruvector-graph-transformer-wasm",
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"type": "module",
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"collaborators": [
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"Ruvector Team"
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],
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"description": "WASM bindings for ruvector-graph-transformer: proof-gated graph attention in the browser",
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"version": "2.0.5",
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"license": "MIT",
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"repository": {
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"type": "git",
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"url": "https://github.com/ruvnet/ruvector"
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},
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"files": [
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"ruvector_graph_transformer_wasm_bg.wasm",
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"ruvector_graph_transformer_wasm.js",
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"ruvector_graph_transformer_wasm.d.ts"
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],
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"main": "ruvector_graph_transformer_wasm.js",
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"types": "ruvector_graph_transformer_wasm.d.ts",
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"sideEffects": [
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"./snippets/*"
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],
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"keywords": [
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"wasm",
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"graph-transformer",
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"attention",
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"verified",
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"webassembly"
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]
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}
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225
vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/ruvector_graph_transformer_wasm.d.ts
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vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/ruvector_graph_transformer_wasm.d.ts
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/* tslint:disable */
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/* eslint-disable */
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/**
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* Graph transformer for the browser.
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*
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* Wraps the core `CoreGraphTransformer` and exposes proof-gated, sublinear,
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* physics, biological, verified-training, manifold, temporal, and economic
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* operations via wasm_bindgen.
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*/
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export class JsGraphTransformer {
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free(): void;
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[Symbol.dispose](): void;
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/**
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* Causal attention with temporal ordering over graph edges.
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*
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* `features` is a Float64Array, `timestamps` is a Float64Array,
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* `edges` is `[{ src, tgt }, ...]`.
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* Returns attention-weighted output features.
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*/
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causal_attention(features: any, timestamps: any, edges: any): any;
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/**
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* Compose a chain of pipeline stages, verifying type compatibility.
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*
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* `stages` is a JS array of `{ name, input_type_id, output_type_id }`.
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* Returns a composed proof with the overall input/output types.
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*/
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compose_proofs(stages: any): any;
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/**
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* Create a proof attestation for a given proof ID.
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*
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* Returns the attestation as a byte buffer (82 bytes).
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*/
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create_attestation(proof_id: number): Uint8Array;
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/**
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* Create a proof gate for the given embedding dimension.
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*
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* Returns a serialized `ProofGate` object.
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*/
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create_proof_gate(dim: number): any;
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/**
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* Game-theoretic attention: computes Nash equilibrium allocations.
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*
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* `features` is a Float64Array, `edges` is `[{ src, tgt }, ...]`.
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* Returns `{ allocations, utilities, nash_gap, converged }`.
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*/
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game_theoretic_attention(features: any, edges: any): any;
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/**
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* Extract Granger causality DAG from attention history.
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*
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* `attention_history` is a flat Float64Array (T x N row-major).
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* Returns `{ edges: [{ source, target, f_statistic, is_causal }], num_nodes }`.
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*/
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granger_extract(attention_history: any, num_nodes: number, num_steps: number): any;
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/**
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* Symplectic integrator step (leapfrog / Stormer-Verlet).
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*
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* `positions` and `momenta` are Float64Arrays, `edges` is
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* `[{ src, tgt }, ...]`. Returns `{ positions, momenta, energy,
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* energy_conserved }`.
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*/
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hamiltonian_step(positions: any, momenta: any, edges: any): any;
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/**
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* Hebbian weight update.
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*
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* `pre`, `post`, `weights` are Float64Arrays. Returns updated weights.
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*/
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hebbian_update(pre: any, post: any, weights: any): any;
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/**
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* Create a new graph transformer.
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*
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* `config` is an optional JS object (reserved for future use).
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*/
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constructor(config: any);
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/**
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* Compute personalized PageRank scores from a source node.
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*
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* Returns array of PPR scores, one per node.
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*/
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ppr_scores(source: number, adjacency: any, alpha: number): any;
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/**
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* Product manifold attention with mixed curvatures.
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*
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* `features` is a Float64Array, `edges` is `[{ src, tgt }, ...]`.
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* Optional `curvatures` (defaults to `[0.0, -1.0]`).
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* Returns `{ output, curvatures, distances }`.
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*/
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product_manifold_attention(features: any, edges: any): any;
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/**
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* Product manifold distance between two points.
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*
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* `a` and `b` are Float64Arrays, `curvatures` is `[number, ...]`.
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*/
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product_manifold_distance(a: any, b: any, curvatures: any): number;
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/**
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* Prove that two dimensions are equal.
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*
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* Returns `{ proof_id, expected, actual, verified }`.
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*/
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prove_dimension(expected: number, actual: number): any;
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/**
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* Reset all internal state (caches, counters, gates).
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*/
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reset(): void;
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/**
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* Spiking neural attention step over 2D features with adjacency.
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*
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* `features` is `[[f64, ...], ...]`, `adjacency` is a flat row-major
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* Float64Array (n x n). Returns `{ features, spikes, weights }`.
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*/
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spiking_step(features: any, adjacency: any): any;
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/**
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* Return transformer statistics.
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*
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* Returns `{ proofs_constructed, proofs_verified, cache_hits,
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* cache_misses, attention_ops, physics_ops, bio_ops, training_steps }`.
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*/
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stats(): any;
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/**
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* Sublinear graph attention using personalized PageRank sparsification.
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*
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* `query` is a Float64Array, `edges` is `[[u32, ...], ...]`.
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* Returns `{ scores, top_k_indices, sparsity_ratio }`.
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*/
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sublinear_attention(query: any, edges: any, dim: number, k: number): any;
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/**
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* A single verified SGD step (raw weights + gradients).
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*
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* Returns `{ weights, proof_id, loss_before, loss_after, gradient_norm }`.
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*/
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verified_step(weights: any, gradients: any, lr: number): any;
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/**
|
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* Verified training step with features, targets, and weights.
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||||
*
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||||
* `features`, `targets`, `weights` are Float64Arrays.
|
||||
* Returns `{ weights, certificate_id, loss, loss_monotonic,
|
||||
* lipschitz_satisfied }`.
|
||||
*/
|
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verified_training_step(features: any, targets: any, weights: any): any;
|
||||
/**
|
||||
* Verify an attestation from its byte representation.
|
||||
*
|
||||
* Returns `true` if the attestation is structurally valid.
|
||||
*/
|
||||
verify_attestation(bytes: Uint8Array): boolean;
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/**
|
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* Verify energy conservation between two states.
|
||||
*
|
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* Returns `{ conserved, delta, relative_error }`.
|
||||
*/
|
||||
verify_energy_conservation(before: number, after: number, tolerance: number): any;
|
||||
/**
|
||||
* Get the library version string.
|
||||
*/
|
||||
version(): string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Called automatically when the WASM module is loaded.
|
||||
*/
|
||||
export function init(): void;
|
||||
|
||||
/**
|
||||
* Return the crate version.
|
||||
*/
|
||||
export function version(): string;
|
||||
|
||||
export type InitInput = RequestInfo | URL | Response | BufferSource | WebAssembly.Module;
|
||||
|
||||
export interface InitOutput {
|
||||
readonly memory: WebAssembly.Memory;
|
||||
readonly __wbg_jsgraphtransformer_free: (a: number, b: number) => void;
|
||||
readonly init: () => void;
|
||||
readonly jsgraphtransformer_causal_attention: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_compose_proofs: (a: number, b: number, c: number) => void;
|
||||
readonly jsgraphtransformer_create_attestation: (a: number, b: number, c: number) => void;
|
||||
readonly jsgraphtransformer_create_proof_gate: (a: number, b: number, c: number) => void;
|
||||
readonly jsgraphtransformer_game_theoretic_attention: (a: number, b: number, c: number, d: number) => void;
|
||||
readonly jsgraphtransformer_granger_extract: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_hamiltonian_step: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_hebbian_update: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_new: (a: number, b: number) => void;
|
||||
readonly jsgraphtransformer_ppr_scores: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_product_manifold_attention: (a: number, b: number, c: number, d: number) => void;
|
||||
readonly jsgraphtransformer_product_manifold_distance: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_prove_dimension: (a: number, b: number, c: number, d: number) => void;
|
||||
readonly jsgraphtransformer_reset: (a: number) => void;
|
||||
readonly jsgraphtransformer_spiking_step: (a: number, b: number, c: number, d: number) => void;
|
||||
readonly jsgraphtransformer_stats: (a: number, b: number) => void;
|
||||
readonly jsgraphtransformer_sublinear_attention: (a: number, b: number, c: number, d: number, e: number, f: number) => void;
|
||||
readonly jsgraphtransformer_verified_step: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_verified_training_step: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_verify_attestation: (a: number, b: number, c: number) => number;
|
||||
readonly jsgraphtransformer_verify_energy_conservation: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
readonly jsgraphtransformer_version: (a: number, b: number) => void;
|
||||
readonly version: (a: number) => void;
|
||||
readonly __wbindgen_export: (a: number, b: number) => number;
|
||||
readonly __wbindgen_export2: (a: number, b: number, c: number, d: number) => number;
|
||||
readonly __wbindgen_export3: (a: number) => void;
|
||||
readonly __wbindgen_add_to_stack_pointer: (a: number) => number;
|
||||
readonly __wbindgen_export4: (a: number, b: number, c: number) => void;
|
||||
readonly __wbindgen_start: () => void;
|
||||
}
|
||||
|
||||
export type SyncInitInput = BufferSource | WebAssembly.Module;
|
||||
|
||||
/**
|
||||
* Instantiates the given `module`, which can either be bytes or
|
||||
* a precompiled `WebAssembly.Module`.
|
||||
*
|
||||
* @param {{ module: SyncInitInput }} module - Passing `SyncInitInput` directly is deprecated.
|
||||
*
|
||||
* @returns {InitOutput}
|
||||
*/
|
||||
export function initSync(module: { module: SyncInitInput } | SyncInitInput): InitOutput;
|
||||
|
||||
/**
|
||||
* If `module_or_path` is {RequestInfo} or {URL}, makes a request and
|
||||
* for everything else, calls `WebAssembly.instantiate` directly.
|
||||
*
|
||||
* @param {{ module_or_path: InitInput | Promise<InitInput> }} module_or_path - Passing `InitInput` directly is deprecated.
|
||||
*
|
||||
* @returns {Promise<InitOutput>}
|
||||
*/
|
||||
export default function __wbg_init (module_or_path?: { module_or_path: InitInput | Promise<InitInput> } | InitInput | Promise<InitInput>): Promise<InitOutput>;
|
||||
1040
vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/ruvector_graph_transformer_wasm.js
vendored
Normal file
1040
vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/ruvector_graph_transformer_wasm.js
vendored
Normal file
File diff suppressed because it is too large
Load Diff
BIN
vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/ruvector_graph_transformer_wasm_bg.wasm
vendored
Normal file
BIN
vendor/ruvector/crates/ruvector-graph-transformer-wasm/pkg/ruvector_graph_transformer_wasm_bg.wasm
vendored
Normal file
Binary file not shown.
@@ -0,0 +1,34 @@
|
||||
/* tslint:disable */
|
||||
/* eslint-disable */
|
||||
export const memory: WebAssembly.Memory;
|
||||
export const __wbg_jsgraphtransformer_free: (a: number, b: number) => void;
|
||||
export const init: () => void;
|
||||
export const jsgraphtransformer_causal_attention: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_compose_proofs: (a: number, b: number, c: number) => void;
|
||||
export const jsgraphtransformer_create_attestation: (a: number, b: number, c: number) => void;
|
||||
export const jsgraphtransformer_create_proof_gate: (a: number, b: number, c: number) => void;
|
||||
export const jsgraphtransformer_game_theoretic_attention: (a: number, b: number, c: number, d: number) => void;
|
||||
export const jsgraphtransformer_granger_extract: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_hamiltonian_step: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_hebbian_update: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_new: (a: number, b: number) => void;
|
||||
export const jsgraphtransformer_ppr_scores: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_product_manifold_attention: (a: number, b: number, c: number, d: number) => void;
|
||||
export const jsgraphtransformer_product_manifold_distance: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_prove_dimension: (a: number, b: number, c: number, d: number) => void;
|
||||
export const jsgraphtransformer_reset: (a: number) => void;
|
||||
export const jsgraphtransformer_spiking_step: (a: number, b: number, c: number, d: number) => void;
|
||||
export const jsgraphtransformer_stats: (a: number, b: number) => void;
|
||||
export const jsgraphtransformer_sublinear_attention: (a: number, b: number, c: number, d: number, e: number, f: number) => void;
|
||||
export const jsgraphtransformer_verified_step: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_verified_training_step: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_verify_attestation: (a: number, b: number, c: number) => number;
|
||||
export const jsgraphtransformer_verify_energy_conservation: (a: number, b: number, c: number, d: number, e: number) => void;
|
||||
export const jsgraphtransformer_version: (a: number, b: number) => void;
|
||||
export const version: (a: number) => void;
|
||||
export const __wbindgen_export: (a: number, b: number) => number;
|
||||
export const __wbindgen_export2: (a: number, b: number, c: number, d: number) => number;
|
||||
export const __wbindgen_export3: (a: number) => void;
|
||||
export const __wbindgen_add_to_stack_pointer: (a: number) => number;
|
||||
export const __wbindgen_export4: (a: number, b: number, c: number) => void;
|
||||
export const __wbindgen_start: () => void;
|
||||
Reference in New Issue
Block a user