d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
1291 lines
41 KiB
JavaScript
1291 lines
41 KiB
JavaScript
let wasm;
|
|
|
|
function addHeapObject(obj) {
|
|
if (heap_next === heap.length) heap.push(heap.length + 1);
|
|
const idx = heap_next;
|
|
heap_next = heap[idx];
|
|
|
|
heap[idx] = obj;
|
|
return idx;
|
|
}
|
|
|
|
function debugString(val) {
|
|
// primitive types
|
|
const type = typeof val;
|
|
if (type == 'number' || type == 'boolean' || val == null) {
|
|
return `${val}`;
|
|
}
|
|
if (type == 'string') {
|
|
return `"${val}"`;
|
|
}
|
|
if (type == 'symbol') {
|
|
const description = val.description;
|
|
if (description == null) {
|
|
return 'Symbol';
|
|
} else {
|
|
return `Symbol(${description})`;
|
|
}
|
|
}
|
|
if (type == 'function') {
|
|
const name = val.name;
|
|
if (typeof name == 'string' && name.length > 0) {
|
|
return `Function(${name})`;
|
|
} else {
|
|
return 'Function';
|
|
}
|
|
}
|
|
// objects
|
|
if (Array.isArray(val)) {
|
|
const length = val.length;
|
|
let debug = '[';
|
|
if (length > 0) {
|
|
debug += debugString(val[0]);
|
|
}
|
|
for(let i = 1; i < length; i++) {
|
|
debug += ', ' + debugString(val[i]);
|
|
}
|
|
debug += ']';
|
|
return debug;
|
|
}
|
|
// Test for built-in
|
|
const builtInMatches = /\[object ([^\]]+)\]/.exec(toString.call(val));
|
|
let className;
|
|
if (builtInMatches && builtInMatches.length > 1) {
|
|
className = builtInMatches[1];
|
|
} else {
|
|
// Failed to match the standard '[object ClassName]'
|
|
return toString.call(val);
|
|
}
|
|
if (className == 'Object') {
|
|
// we're a user defined class or Object
|
|
// JSON.stringify avoids problems with cycles, and is generally much
|
|
// easier than looping through ownProperties of `val`.
|
|
try {
|
|
return 'Object(' + JSON.stringify(val) + ')';
|
|
} catch (_) {
|
|
return 'Object';
|
|
}
|
|
}
|
|
// errors
|
|
if (val instanceof Error) {
|
|
return `${val.name}: ${val.message}\n${val.stack}`;
|
|
}
|
|
// TODO we could test for more things here, like `Set`s and `Map`s.
|
|
return className;
|
|
}
|
|
|
|
function dropObject(idx) {
|
|
if (idx < 132) return;
|
|
heap[idx] = heap_next;
|
|
heap_next = idx;
|
|
}
|
|
|
|
function getArrayF32FromWasm0(ptr, len) {
|
|
ptr = ptr >>> 0;
|
|
return getFloat32ArrayMemory0().subarray(ptr / 4, ptr / 4 + len);
|
|
}
|
|
|
|
let cachedDataViewMemory0 = null;
|
|
function getDataViewMemory0() {
|
|
if (cachedDataViewMemory0 === null || cachedDataViewMemory0.buffer.detached === true || (cachedDataViewMemory0.buffer.detached === undefined && cachedDataViewMemory0.buffer !== wasm.memory.buffer)) {
|
|
cachedDataViewMemory0 = new DataView(wasm.memory.buffer);
|
|
}
|
|
return cachedDataViewMemory0;
|
|
}
|
|
|
|
let cachedFloat32ArrayMemory0 = null;
|
|
function getFloat32ArrayMemory0() {
|
|
if (cachedFloat32ArrayMemory0 === null || cachedFloat32ArrayMemory0.byteLength === 0) {
|
|
cachedFloat32ArrayMemory0 = new Float32Array(wasm.memory.buffer);
|
|
}
|
|
return cachedFloat32ArrayMemory0;
|
|
}
|
|
|
|
function getStringFromWasm0(ptr, len) {
|
|
ptr = ptr >>> 0;
|
|
return decodeText(ptr, len);
|
|
}
|
|
|
|
let cachedUint8ArrayMemory0 = null;
|
|
function getUint8ArrayMemory0() {
|
|
if (cachedUint8ArrayMemory0 === null || cachedUint8ArrayMemory0.byteLength === 0) {
|
|
cachedUint8ArrayMemory0 = new Uint8Array(wasm.memory.buffer);
|
|
}
|
|
return cachedUint8ArrayMemory0;
|
|
}
|
|
|
|
function getObject(idx) { return heap[idx]; }
|
|
|
|
function handleError(f, args) {
|
|
try {
|
|
return f.apply(this, args);
|
|
} catch (e) {
|
|
wasm.__wbindgen_export3(addHeapObject(e));
|
|
}
|
|
}
|
|
|
|
let heap = new Array(128).fill(undefined);
|
|
heap.push(undefined, null, true, false);
|
|
|
|
let heap_next = heap.length;
|
|
|
|
function isLikeNone(x) {
|
|
return x === undefined || x === null;
|
|
}
|
|
|
|
function passArrayF32ToWasm0(arg, malloc) {
|
|
const ptr = malloc(arg.length * 4, 4) >>> 0;
|
|
getFloat32ArrayMemory0().set(arg, ptr / 4);
|
|
WASM_VECTOR_LEN = arg.length;
|
|
return ptr;
|
|
}
|
|
|
|
function passStringToWasm0(arg, malloc, realloc) {
|
|
if (realloc === undefined) {
|
|
const buf = cachedTextEncoder.encode(arg);
|
|
const ptr = malloc(buf.length, 1) >>> 0;
|
|
getUint8ArrayMemory0().subarray(ptr, ptr + buf.length).set(buf);
|
|
WASM_VECTOR_LEN = buf.length;
|
|
return ptr;
|
|
}
|
|
|
|
let len = arg.length;
|
|
let ptr = malloc(len, 1) >>> 0;
|
|
|
|
const mem = getUint8ArrayMemory0();
|
|
|
|
let offset = 0;
|
|
|
|
for (; offset < len; offset++) {
|
|
const code = arg.charCodeAt(offset);
|
|
if (code > 0x7F) break;
|
|
mem[ptr + offset] = code;
|
|
}
|
|
if (offset !== len) {
|
|
if (offset !== 0) {
|
|
arg = arg.slice(offset);
|
|
}
|
|
ptr = realloc(ptr, len, len = offset + arg.length * 3, 1) >>> 0;
|
|
const view = getUint8ArrayMemory0().subarray(ptr + offset, ptr + len);
|
|
const ret = cachedTextEncoder.encodeInto(arg, view);
|
|
|
|
offset += ret.written;
|
|
ptr = realloc(ptr, len, offset, 1) >>> 0;
|
|
}
|
|
|
|
WASM_VECTOR_LEN = offset;
|
|
return ptr;
|
|
}
|
|
|
|
function takeObject(idx) {
|
|
const ret = getObject(idx);
|
|
dropObject(idx);
|
|
return ret;
|
|
}
|
|
|
|
let cachedTextDecoder = new TextDecoder('utf-8', { ignoreBOM: true, fatal: true });
|
|
cachedTextDecoder.decode();
|
|
const MAX_SAFARI_DECODE_BYTES = 2146435072;
|
|
let numBytesDecoded = 0;
|
|
function decodeText(ptr, len) {
|
|
numBytesDecoded += len;
|
|
if (numBytesDecoded >= MAX_SAFARI_DECODE_BYTES) {
|
|
cachedTextDecoder = new TextDecoder('utf-8', { ignoreBOM: true, fatal: true });
|
|
cachedTextDecoder.decode();
|
|
numBytesDecoded = len;
|
|
}
|
|
return cachedTextDecoder.decode(getUint8ArrayMemory0().subarray(ptr, ptr + len));
|
|
}
|
|
|
|
const cachedTextEncoder = new TextEncoder();
|
|
|
|
if (!('encodeInto' in cachedTextEncoder)) {
|
|
cachedTextEncoder.encodeInto = function (arg, view) {
|
|
const buf = cachedTextEncoder.encode(arg);
|
|
view.set(buf);
|
|
return {
|
|
read: arg.length,
|
|
written: buf.length
|
|
};
|
|
}
|
|
}
|
|
|
|
let WASM_VECTOR_LEN = 0;
|
|
|
|
const WasmEphemeralAgentFinalization = (typeof FinalizationRegistry === 'undefined')
|
|
? { register: () => {}, unregister: () => {} }
|
|
: new FinalizationRegistry(ptr => wasm.__wbg_wasmephemeralagent_free(ptr >>> 0, 1));
|
|
|
|
const WasmFederatedCoordinatorFinalization = (typeof FinalizationRegistry === 'undefined')
|
|
? { register: () => {}, unregister: () => {} }
|
|
: new FinalizationRegistry(ptr => wasm.__wbg_wasmfederatedcoordinator_free(ptr >>> 0, 1));
|
|
|
|
const WasmSonaEngineFinalization = (typeof FinalizationRegistry === 'undefined')
|
|
? { register: () => {}, unregister: () => {} }
|
|
: new FinalizationRegistry(ptr => wasm.__wbg_wasmsonaengine_free(ptr >>> 0, 1));
|
|
|
|
/**
|
|
* WASM-compatible Ephemeral Agent for federated learning
|
|
*
|
|
* Lightweight agent wrapper (~5MB footprint) for distributed training.
|
|
* Agents process tasks, collect trajectories, and export state for aggregation.
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const agent = new WasmEphemeralAgent("agent-1");
|
|
*
|
|
* // Process tasks
|
|
* const embedding = new Float32Array(256).fill(0.1);
|
|
* agent.process_task(embedding, 0.85);
|
|
*
|
|
* // Export state for coordinator
|
|
* const state = agent.export_state();
|
|
* ```
|
|
*/
|
|
export class WasmEphemeralAgent {
|
|
static __wrap(ptr) {
|
|
ptr = ptr >>> 0;
|
|
const obj = Object.create(WasmEphemeralAgent.prototype);
|
|
obj.__wbg_ptr = ptr;
|
|
WasmEphemeralAgentFinalization.register(obj, obj.__wbg_ptr, obj);
|
|
return obj;
|
|
}
|
|
__destroy_into_raw() {
|
|
const ptr = this.__wbg_ptr;
|
|
this.__wbg_ptr = 0;
|
|
WasmEphemeralAgentFinalization.unregister(this);
|
|
return ptr;
|
|
}
|
|
free() {
|
|
const ptr = this.__destroy_into_raw();
|
|
wasm.__wbg_wasmephemeralagent_free(ptr, 0);
|
|
}
|
|
/**
|
|
* Force learning cycle on agent's engine
|
|
* @returns {string}
|
|
*/
|
|
forceLearn() {
|
|
let deferred1_0;
|
|
let deferred1_1;
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
wasm.wasmephemeralagent_forceLearn(retptr, this.__wbg_ptr);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
deferred1_0 = r0;
|
|
deferred1_1 = r1;
|
|
return getStringFromWasm0(r0, r1);
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
wasm.__wbindgen_export4(deferred1_0, deferred1_1, 1);
|
|
}
|
|
}
|
|
/**
|
|
* Create agent with custom configuration
|
|
*
|
|
* # Arguments
|
|
* * `agent_id` - Unique identifier
|
|
* * `config` - JSON configuration object
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const config = {
|
|
* hidden_dim: 256,
|
|
* trajectory_capacity: 500,
|
|
* pattern_clusters: 25
|
|
* };
|
|
* const agent = WasmEphemeralAgent.with_config("agent-1", config);
|
|
* ```
|
|
* @param {string} agent_id
|
|
* @param {any} config
|
|
* @returns {WasmEphemeralAgent}
|
|
*/
|
|
static withConfig(agent_id, config) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
const ptr0 = passStringToWasm0(agent_id, wasm.__wbindgen_export, wasm.__wbindgen_export2);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
wasm.wasmephemeralagent_withConfig(retptr, ptr0, len0, addHeapObject(config));
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
|
|
if (r2) {
|
|
throw takeObject(r1);
|
|
}
|
|
return WasmEphemeralAgent.__wrap(r0);
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Export agent state for coordinator aggregation
|
|
*
|
|
* # Returns
|
|
* JSON object containing agent state, trajectories, and statistics
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const state = agent.export_state();
|
|
* console.log('Trajectories:', state.trajectories.length);
|
|
* coordinator.aggregate(state);
|
|
* ```
|
|
* @returns {any}
|
|
*/
|
|
exportState() {
|
|
const ret = wasm.wasmephemeralagent_exportState(this.__wbg_ptr);
|
|
return takeObject(ret);
|
|
}
|
|
/**
|
|
* Get learned patterns from agent
|
|
* @returns {any}
|
|
*/
|
|
getPatterns() {
|
|
const ret = wasm.wasmephemeralagent_getPatterns(this.__wbg_ptr);
|
|
return takeObject(ret);
|
|
}
|
|
/**
|
|
* Process a task and record trajectory
|
|
*
|
|
* # Arguments
|
|
* * `embedding` - Query embedding as Float32Array
|
|
* * `quality` - Task quality score [0.0, 1.0]
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const embedding = new Float32Array(256).fill(0.1);
|
|
* agent.process_task(embedding, 0.85);
|
|
* ```
|
|
* @param {Float32Array} embedding
|
|
* @param {number} quality
|
|
*/
|
|
processTask(embedding, quality) {
|
|
const ptr0 = passArrayF32ToWasm0(embedding, wasm.__wbindgen_export);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
wasm.wasmephemeralagent_processTask(this.__wbg_ptr, ptr0, len0, quality);
|
|
}
|
|
/**
|
|
* Get agent uptime in seconds
|
|
* @returns {bigint}
|
|
*/
|
|
uptimeSeconds() {
|
|
const ret = wasm.wasmephemeralagent_uptimeSeconds(this.__wbg_ptr);
|
|
return BigInt.asUintN(64, ret);
|
|
}
|
|
/**
|
|
* Get average quality of collected trajectories
|
|
* @returns {number}
|
|
*/
|
|
averageQuality() {
|
|
const ret = wasm.wasmephemeralagent_averageQuality(this.__wbg_ptr);
|
|
return ret;
|
|
}
|
|
/**
|
|
* Get number of collected trajectories
|
|
* @returns {number}
|
|
*/
|
|
trajectoryCount() {
|
|
const ret = wasm.wasmephemeralagent_trajectoryCount(this.__wbg_ptr);
|
|
return ret >>> 0;
|
|
}
|
|
/**
|
|
* Process task with model route information
|
|
*
|
|
* # Arguments
|
|
* * `embedding` - Query embedding
|
|
* * `quality` - Quality score
|
|
* * `route` - Model route used (e.g., "gpt-4", "claude-3")
|
|
* @param {Float32Array} embedding
|
|
* @param {number} quality
|
|
* @param {string} route
|
|
*/
|
|
processTaskWithRoute(embedding, quality, route) {
|
|
const ptr0 = passArrayF32ToWasm0(embedding, wasm.__wbindgen_export);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
const ptr1 = passStringToWasm0(route, wasm.__wbindgen_export, wasm.__wbindgen_export2);
|
|
const len1 = WASM_VECTOR_LEN;
|
|
wasm.wasmephemeralagent_processTaskWithRoute(this.__wbg_ptr, ptr0, len0, quality, ptr1, len1);
|
|
}
|
|
/**
|
|
* Create a new ephemeral agent with default config
|
|
*
|
|
* # Arguments
|
|
* * `agent_id` - Unique identifier for this agent
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const agent = new WasmEphemeralAgent("agent-1");
|
|
* ```
|
|
* @param {string} agent_id
|
|
*/
|
|
constructor(agent_id) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
const ptr0 = passStringToWasm0(agent_id, wasm.__wbindgen_export, wasm.__wbindgen_export2);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
wasm.wasmephemeralagent_new(retptr, ptr0, len0);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
|
|
if (r2) {
|
|
throw takeObject(r1);
|
|
}
|
|
this.__wbg_ptr = r0 >>> 0;
|
|
WasmEphemeralAgentFinalization.register(this, this.__wbg_ptr, this);
|
|
return this;
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Clear collected trajectories (after export)
|
|
*/
|
|
clear() {
|
|
wasm.wasmephemeralagent_clear(this.__wbg_ptr);
|
|
}
|
|
/**
|
|
* Get agent statistics
|
|
*
|
|
* # Returns
|
|
* JSON object with trajectory count, quality stats, uptime
|
|
* @returns {any}
|
|
*/
|
|
getStats() {
|
|
const ret = wasm.wasmephemeralagent_getStats(this.__wbg_ptr);
|
|
return takeObject(ret);
|
|
}
|
|
}
|
|
if (Symbol.dispose) WasmEphemeralAgent.prototype[Symbol.dispose] = WasmEphemeralAgent.prototype.free;
|
|
|
|
/**
|
|
* WASM-compatible Federated Coordinator
|
|
*
|
|
* Central aggregator for federated learning with quality filtering.
|
|
* Coordinates multiple ephemeral agents using star topology.
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const coordinator = new WasmFederatedCoordinator("central");
|
|
*
|
|
* // Aggregate agent exports
|
|
* const agentState = agent.export_state();
|
|
* const result = coordinator.aggregate(agentState);
|
|
*
|
|
* // Check stats
|
|
* const stats = coordinator.get_stats();
|
|
* console.log('Total agents:', stats.total_agents);
|
|
* ```
|
|
*/
|
|
export class WasmFederatedCoordinator {
|
|
static __wrap(ptr) {
|
|
ptr = ptr >>> 0;
|
|
const obj = Object.create(WasmFederatedCoordinator.prototype);
|
|
obj.__wbg_ptr = ptr;
|
|
WasmFederatedCoordinatorFinalization.register(obj, obj.__wbg_ptr, obj);
|
|
return obj;
|
|
}
|
|
__destroy_into_raw() {
|
|
const ptr = this.__wbg_ptr;
|
|
this.__wbg_ptr = 0;
|
|
WasmFederatedCoordinatorFinalization.unregister(this);
|
|
return ptr;
|
|
}
|
|
free() {
|
|
const ptr = this.__destroy_into_raw();
|
|
wasm.__wbg_wasmfederatedcoordinator_free(ptr, 0);
|
|
}
|
|
/**
|
|
* Apply coordinator's learned LoRA to input
|
|
* @param {Float32Array} input
|
|
* @returns {Float32Array}
|
|
*/
|
|
applyLora(input) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
const ptr0 = passArrayF32ToWasm0(input, wasm.__wbindgen_export);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
wasm.wasmfederatedcoordinator_applyLora(retptr, this.__wbg_ptr, ptr0, len0);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var v2 = getArrayF32FromWasm0(r0, r1).slice();
|
|
wasm.__wbindgen_export4(r0, r1 * 4, 4);
|
|
return v2;
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Get total number of contributing agents
|
|
* @returns {number}
|
|
*/
|
|
agentCount() {
|
|
const ret = wasm.wasmfederatedcoordinator_agentCount(this.__wbg_ptr);
|
|
return ret >>> 0;
|
|
}
|
|
/**
|
|
* Consolidate learning from all aggregated trajectories
|
|
*
|
|
* Should be called periodically after aggregating multiple agents.
|
|
*
|
|
* # Returns
|
|
* Learning result as JSON string
|
|
* @returns {string}
|
|
*/
|
|
consolidate() {
|
|
let deferred1_0;
|
|
let deferred1_1;
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
wasm.wasmfederatedcoordinator_consolidate(retptr, this.__wbg_ptr);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
deferred1_0 = r0;
|
|
deferred1_1 = r1;
|
|
return getStringFromWasm0(r0, r1);
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
wasm.__wbindgen_export4(deferred1_0, deferred1_1, 1);
|
|
}
|
|
}
|
|
/**
|
|
* Create coordinator with custom configuration
|
|
*
|
|
* # Arguments
|
|
* * `coordinator_id` - Unique identifier
|
|
* * `config` - JSON configuration object
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const config = {
|
|
* hidden_dim: 256,
|
|
* trajectory_capacity: 50000,
|
|
* pattern_clusters: 200,
|
|
* ewc_lambda: 2000.0
|
|
* };
|
|
* const coordinator = WasmFederatedCoordinator.with_config("central", config);
|
|
* ```
|
|
* @param {string} coordinator_id
|
|
* @param {any} config
|
|
* @returns {WasmFederatedCoordinator}
|
|
*/
|
|
static withConfig(coordinator_id, config) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
const ptr0 = passStringToWasm0(coordinator_id, wasm.__wbindgen_export, wasm.__wbindgen_export2);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
wasm.wasmfederatedcoordinator_withConfig(retptr, ptr0, len0, addHeapObject(config));
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
|
|
if (r2) {
|
|
throw takeObject(r1);
|
|
}
|
|
return WasmFederatedCoordinator.__wrap(r0);
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Get all learned patterns from coordinator
|
|
* @returns {any}
|
|
*/
|
|
getPatterns() {
|
|
const ret = wasm.wasmfederatedcoordinator_getPatterns(this.__wbg_ptr);
|
|
return takeObject(ret);
|
|
}
|
|
/**
|
|
* Find similar patterns to query
|
|
*
|
|
* # Arguments
|
|
* * `query_embedding` - Query vector
|
|
* * `k` - Number of patterns to return
|
|
* @param {Float32Array} query_embedding
|
|
* @param {number} k
|
|
* @returns {any}
|
|
*/
|
|
findPatterns(query_embedding, k) {
|
|
const ptr0 = passArrayF32ToWasm0(query_embedding, wasm.__wbindgen_export);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
const ret = wasm.wasmfederatedcoordinator_findPatterns(this.__wbg_ptr, ptr0, len0, k);
|
|
return takeObject(ret);
|
|
}
|
|
/**
|
|
* Get total trajectories aggregated
|
|
* @returns {number}
|
|
*/
|
|
totalTrajectories() {
|
|
const ret = wasm.wasmfederatedcoordinator_totalTrajectories(this.__wbg_ptr);
|
|
return ret >>> 0;
|
|
}
|
|
/**
|
|
* Set quality threshold for accepting trajectories
|
|
*
|
|
* # Arguments
|
|
* * `threshold` - Minimum quality [0.0, 1.0], default 0.4
|
|
* @param {number} threshold
|
|
*/
|
|
setQualityThreshold(threshold) {
|
|
wasm.wasmfederatedcoordinator_setQualityThreshold(this.__wbg_ptr, threshold);
|
|
}
|
|
/**
|
|
* Create a new federated coordinator with default config
|
|
*
|
|
* # Arguments
|
|
* * `coordinator_id` - Unique identifier for this coordinator
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const coordinator = new WasmFederatedCoordinator("central");
|
|
* ```
|
|
* @param {string} coordinator_id
|
|
*/
|
|
constructor(coordinator_id) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
const ptr0 = passStringToWasm0(coordinator_id, wasm.__wbindgen_export, wasm.__wbindgen_export2);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
wasm.wasmfederatedcoordinator_new(retptr, ptr0, len0);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
|
|
if (r2) {
|
|
throw takeObject(r1);
|
|
}
|
|
this.__wbg_ptr = r0 >>> 0;
|
|
WasmFederatedCoordinatorFinalization.register(this, this.__wbg_ptr, this);
|
|
return this;
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Clear all agent contributions (reset coordinator)
|
|
*/
|
|
clear() {
|
|
wasm.wasmfederatedcoordinator_clear(this.__wbg_ptr);
|
|
}
|
|
/**
|
|
* Aggregate agent export into coordinator
|
|
*
|
|
* # Arguments
|
|
* * `agent_export` - JSON export from agent.export_state()
|
|
*
|
|
* # Returns
|
|
* JSON aggregation result with accepted/rejected counts
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const agentState = agent.export_state();
|
|
* const result = coordinator.aggregate(agentState);
|
|
* console.log('Accepted:', result.accepted);
|
|
* ```
|
|
* @param {any} agent_export
|
|
* @returns {any}
|
|
*/
|
|
aggregate(agent_export) {
|
|
const ret = wasm.wasmfederatedcoordinator_aggregate(this.__wbg_ptr, addHeapObject(agent_export));
|
|
return takeObject(ret);
|
|
}
|
|
/**
|
|
* Get coordinator statistics
|
|
*
|
|
* # Returns
|
|
* JSON object with agent count, trajectory count, quality stats
|
|
* @returns {any}
|
|
*/
|
|
getStats() {
|
|
const ret = wasm.wasmfederatedcoordinator_getStats(this.__wbg_ptr);
|
|
return takeObject(ret);
|
|
}
|
|
}
|
|
if (Symbol.dispose) WasmFederatedCoordinator.prototype[Symbol.dispose] = WasmFederatedCoordinator.prototype.free;
|
|
|
|
/**
|
|
* WASM-compatible SONA Engine wrapper
|
|
*
|
|
* Provides JavaScript bindings for the SONA adaptive learning system.
|
|
*/
|
|
export class WasmSonaEngine {
|
|
static __wrap(ptr) {
|
|
ptr = ptr >>> 0;
|
|
const obj = Object.create(WasmSonaEngine.prototype);
|
|
obj.__wbg_ptr = ptr;
|
|
WasmSonaEngineFinalization.register(obj, obj.__wbg_ptr, obj);
|
|
return obj;
|
|
}
|
|
__destroy_into_raw() {
|
|
const ptr = this.__wbg_ptr;
|
|
this.__wbg_ptr = 0;
|
|
WasmSonaEngineFinalization.unregister(this);
|
|
return ptr;
|
|
}
|
|
free() {
|
|
const ptr = this.__destroy_into_raw();
|
|
wasm.__wbg_wasmsonaengine_free(ptr, 0);
|
|
}
|
|
/**
|
|
* Apply LoRA transformation to input vector
|
|
*
|
|
* # Arguments
|
|
* * `input` - Input vector as Float32Array
|
|
*
|
|
* # Returns
|
|
* Transformed vector as Float32Array
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const input = new Float32Array(256).fill(1.0);
|
|
* const output = engine.apply_lora(input);
|
|
* ```
|
|
* @param {Float32Array} input
|
|
* @returns {Float32Array}
|
|
*/
|
|
applyLora(input) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
const ptr0 = passArrayF32ToWasm0(input, wasm.__wbindgen_export);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
wasm.wasmsonaengine_applyLora(retptr, this.__wbg_ptr, ptr0, len0);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var v2 = getArrayF32FromWasm0(r0, r1).slice();
|
|
wasm.__wbindgen_export4(r0, r1 * 4, 4);
|
|
return v2;
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Get configuration
|
|
*
|
|
* # Returns
|
|
* Configuration as JSON object
|
|
* @returns {any}
|
|
*/
|
|
getConfig() {
|
|
const ret = wasm.wasmsonaengine_getConfig(this.__wbg_ptr);
|
|
return takeObject(ret);
|
|
}
|
|
/**
|
|
* Check if engine is enabled
|
|
*
|
|
* # Returns
|
|
* true if enabled, false otherwise
|
|
* @returns {boolean}
|
|
*/
|
|
isEnabled() {
|
|
const ret = wasm.wasmsonaengine_isEnabled(this.__wbg_ptr);
|
|
return ret !== 0;
|
|
}
|
|
/**
|
|
* Force background learning cycle
|
|
*
|
|
* # Returns
|
|
* Learning statistics as JSON string
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const stats = engine.force_learn();
|
|
* console.log('Learning results:', stats);
|
|
* ```
|
|
* @returns {string}
|
|
*/
|
|
forceLearn() {
|
|
let deferred1_0;
|
|
let deferred1_1;
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
wasm.wasmsonaengine_forceLearn(retptr, this.__wbg_ptr);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
deferred1_0 = r0;
|
|
deferred1_1 = r1;
|
|
return getStringFromWasm0(r0, r1);
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
wasm.__wbindgen_export4(deferred1_0, deferred1_1, 1);
|
|
}
|
|
}
|
|
/**
|
|
* Record a step in the trajectory
|
|
*
|
|
* # Arguments
|
|
* * `trajectory_id` - ID returned from start_trajectory
|
|
* * `node_id` - Graph node visited
|
|
* * `score` - Step quality score [0.0, 1.0]
|
|
* * `latency_us` - Step latency in microseconds
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* engine.record_step(trajectoryId, 42, 0.8, 1000);
|
|
* ```
|
|
* @param {bigint} trajectory_id
|
|
* @param {number} node_id
|
|
* @param {number} score
|
|
* @param {bigint} latency_us
|
|
*/
|
|
recordStep(trajectory_id, node_id, score, latency_us) {
|
|
wasm.wasmsonaengine_recordStep(this.__wbg_ptr, trajectory_id, node_id, score, latency_us);
|
|
}
|
|
/**
|
|
* Enable or disable the engine
|
|
*
|
|
* # Arguments
|
|
* * `enabled` - Whether to enable the engine
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* engine.set_enabled(false); // Pause learning
|
|
* ```
|
|
* @param {boolean} enabled
|
|
*/
|
|
setEnabled(enabled) {
|
|
wasm.wasmsonaengine_setEnabled(this.__wbg_ptr, enabled);
|
|
}
|
|
/**
|
|
* Create engine with custom configuration
|
|
*
|
|
* # Arguments
|
|
* * `config` - JSON configuration object
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const config = {
|
|
* hidden_dim: 256,
|
|
* embedding_dim: 256,
|
|
* micro_lora_rank: 2,
|
|
* base_lora_rank: 16,
|
|
* micro_lora_lr: 0.001,
|
|
* base_lora_lr: 0.0001,
|
|
* ewc_lambda: 1000.0,
|
|
* pattern_clusters: 128,
|
|
* trajectory_capacity: 10000,
|
|
* quality_threshold: 0.6
|
|
* };
|
|
* const engine = WasmSonaEngine.with_config(config);
|
|
* ```
|
|
* @param {any} config
|
|
* @returns {WasmSonaEngine}
|
|
*/
|
|
static withConfig(config) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
wasm.wasmsonaengine_withConfig(retptr, addHeapObject(config));
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
|
|
if (r2) {
|
|
throw takeObject(r1);
|
|
}
|
|
return WasmSonaEngine.__wrap(r0);
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Find similar patterns to query
|
|
*
|
|
* # Arguments
|
|
* * `query_embedding` - Query vector as Float32Array
|
|
* * `k` - Number of patterns to return
|
|
*
|
|
* # Returns
|
|
* Array of similar patterns as JSON
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const query = new Float32Array(256).fill(0.5);
|
|
* const patterns = engine.find_patterns(query, 5);
|
|
* console.log('Similar patterns:', patterns);
|
|
* ```
|
|
* @param {Float32Array} query_embedding
|
|
* @param {number} k
|
|
* @returns {any}
|
|
*/
|
|
findPatterns(query_embedding, k) {
|
|
const ptr0 = passArrayF32ToWasm0(query_embedding, wasm.__wbindgen_export);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
const ret = wasm.wasmsonaengine_findPatterns(this.__wbg_ptr, ptr0, len0, k);
|
|
return takeObject(ret);
|
|
}
|
|
/**
|
|
* End the trajectory and submit for learning
|
|
*
|
|
* # Arguments
|
|
* * `trajectory_id` - ID returned from start_trajectory
|
|
* * `final_score` - Overall trajectory quality [0.0, 1.0]
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* engine.end_trajectory(trajectoryId, 0.85);
|
|
* ```
|
|
* @param {bigint} trajectory_id
|
|
* @param {number} final_score
|
|
*/
|
|
endTrajectory(trajectory_id, final_score) {
|
|
wasm.wasmsonaengine_endTrajectory(this.__wbg_ptr, trajectory_id, final_score);
|
|
}
|
|
/**
|
|
* Apply LoRA transformation to specific layer
|
|
*
|
|
* # Arguments
|
|
* * `layer_idx` - Layer index
|
|
* * `input` - Input vector as Float32Array
|
|
*
|
|
* # Returns
|
|
* Transformed vector as Float32Array
|
|
* @param {number} layer_idx
|
|
* @param {Float32Array} input
|
|
* @returns {Float32Array}
|
|
*/
|
|
applyLoraLayer(layer_idx, input) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
const ptr0 = passArrayF32ToWasm0(input, wasm.__wbindgen_export);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
wasm.wasmsonaengine_applyLoraLayer(retptr, this.__wbg_ptr, layer_idx, ptr0, len0);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var v2 = getArrayF32FromWasm0(r0, r1).slice();
|
|
wasm.__wbindgen_export4(r0, r1 * 4, 4);
|
|
return v2;
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Start recording a new trajectory
|
|
*
|
|
* # Arguments
|
|
* * `query_embedding` - Query vector as Float32Array
|
|
*
|
|
* # Returns
|
|
* Trajectory ID (u64)
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const embedding = new Float32Array(256).fill(0.1);
|
|
* const trajectoryId = engine.start_trajectory(embedding);
|
|
* ```
|
|
* @param {Float32Array} query_embedding
|
|
* @returns {bigint}
|
|
*/
|
|
startTrajectory(query_embedding) {
|
|
const ptr0 = passArrayF32ToWasm0(query_embedding, wasm.__wbindgen_export);
|
|
const len0 = WASM_VECTOR_LEN;
|
|
const ret = wasm.wasmsonaengine_startTrajectory(this.__wbg_ptr, ptr0, len0);
|
|
return BigInt.asUintN(64, ret);
|
|
}
|
|
/**
|
|
* Run instant learning cycle
|
|
*
|
|
* Flushes accumulated micro-LoRA updates
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* engine.run_instant_cycle();
|
|
* ```
|
|
*/
|
|
runInstantCycle() {
|
|
wasm.wasmsonaengine_runInstantCycle(this.__wbg_ptr);
|
|
}
|
|
/**
|
|
* Apply learning from user feedback
|
|
*
|
|
* # Arguments
|
|
* * `success` - Whether the operation succeeded
|
|
* * `latency_ms` - Operation latency in milliseconds
|
|
* * `quality` - User-perceived quality [0.0, 1.0]
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* engine.learn_from_feedback(true, 50.0, 0.9);
|
|
* ```
|
|
* @param {boolean} success
|
|
* @param {number} latency_ms
|
|
* @param {number} quality
|
|
*/
|
|
learnFromFeedback(success, latency_ms, quality) {
|
|
wasm.wasmsonaengine_learnFromFeedback(this.__wbg_ptr, success, latency_ms, quality);
|
|
}
|
|
/**
|
|
* Create a new SONA engine with specified hidden dimension
|
|
*
|
|
* # Arguments
|
|
* * `hidden_dim` - Size of hidden layer (typically 256, 512, or 1024)
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const engine = new WasmSonaEngine(256);
|
|
* ```
|
|
* @param {number} hidden_dim
|
|
*/
|
|
constructor(hidden_dim) {
|
|
try {
|
|
const retptr = wasm.__wbindgen_add_to_stack_pointer(-16);
|
|
wasm.wasmsonaengine_new(retptr, hidden_dim);
|
|
var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true);
|
|
var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true);
|
|
var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true);
|
|
if (r2) {
|
|
throw takeObject(r1);
|
|
}
|
|
this.__wbg_ptr = r0 >>> 0;
|
|
WasmSonaEngineFinalization.register(this, this.__wbg_ptr, this);
|
|
return this;
|
|
} finally {
|
|
wasm.__wbindgen_add_to_stack_pointer(16);
|
|
}
|
|
}
|
|
/**
|
|
* Try to run background learning cycle
|
|
*
|
|
* Returns true if cycle was executed, false if not due yet
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* if (engine.tick()) {
|
|
* console.log('Background learning completed');
|
|
* }
|
|
* ```
|
|
* @returns {boolean}
|
|
*/
|
|
tick() {
|
|
const ret = wasm.wasmsonaengine_tick(this.__wbg_ptr);
|
|
return ret !== 0;
|
|
}
|
|
/**
|
|
* Get engine statistics
|
|
*
|
|
* # Returns
|
|
* Statistics as JSON object
|
|
*
|
|
* # Example
|
|
* ```javascript
|
|
* const stats = engine.get_stats();
|
|
* console.log('Trajectories buffered:', stats.trajectories_buffered);
|
|
* console.log('Patterns learned:', stats.patterns_learned);
|
|
* ```
|
|
* @returns {any}
|
|
*/
|
|
getStats() {
|
|
const ret = wasm.wasmsonaengine_getStats(this.__wbg_ptr);
|
|
return takeObject(ret);
|
|
}
|
|
}
|
|
if (Symbol.dispose) WasmSonaEngine.prototype[Symbol.dispose] = WasmSonaEngine.prototype.free;
|
|
|
|
/**
|
|
* Initialize WASM module (called automatically)
|
|
*/
|
|
export function wasm_init() {
|
|
wasm.wasm_init();
|
|
}
|
|
|
|
const EXPECTED_RESPONSE_TYPES = new Set(['basic', 'cors', 'default']);
|
|
|
|
async function __wbg_load(module, imports) {
|
|
if (typeof Response === 'function' && module instanceof Response) {
|
|
if (typeof WebAssembly.instantiateStreaming === 'function') {
|
|
try {
|
|
return await WebAssembly.instantiateStreaming(module, imports);
|
|
} catch (e) {
|
|
const validResponse = module.ok && EXPECTED_RESPONSE_TYPES.has(module.type);
|
|
|
|
if (validResponse && module.headers.get('Content-Type') !== 'application/wasm') {
|
|
console.warn("`WebAssembly.instantiateStreaming` failed because your server does not serve Wasm with `application/wasm` MIME type. Falling back to `WebAssembly.instantiate` which is slower. Original error:\n", e);
|
|
|
|
} else {
|
|
throw e;
|
|
}
|
|
}
|
|
}
|
|
|
|
const bytes = await module.arrayBuffer();
|
|
return await WebAssembly.instantiate(bytes, imports);
|
|
} else {
|
|
const instance = await WebAssembly.instantiate(module, imports);
|
|
|
|
if (instance instanceof WebAssembly.Instance) {
|
|
return { instance, module };
|
|
} else {
|
|
return instance;
|
|
}
|
|
}
|
|
}
|
|
|
|
function __wbg_get_imports() {
|
|
const imports = {};
|
|
imports.wbg = {};
|
|
imports.wbg.__wbg___wbindgen_debug_string_adfb662ae34724b6 = function(arg0, arg1) {
|
|
const ret = debugString(getObject(arg1));
|
|
const ptr1 = passStringToWasm0(ret, wasm.__wbindgen_export, wasm.__wbindgen_export2);
|
|
const len1 = WASM_VECTOR_LEN;
|
|
getDataViewMemory0().setInt32(arg0 + 4 * 1, len1, true);
|
|
getDataViewMemory0().setInt32(arg0 + 4 * 0, ptr1, true);
|
|
};
|
|
imports.wbg.__wbg___wbindgen_is_undefined_f6b95eab589e0269 = function(arg0) {
|
|
const ret = getObject(arg0) === undefined;
|
|
return ret;
|
|
};
|
|
imports.wbg.__wbg___wbindgen_string_get_a2a31e16edf96e42 = function(arg0, arg1) {
|
|
const obj = getObject(arg1);
|
|
const ret = typeof(obj) === 'string' ? obj : undefined;
|
|
var ptr1 = isLikeNone(ret) ? 0 : passStringToWasm0(ret, wasm.__wbindgen_export, wasm.__wbindgen_export2);
|
|
var len1 = WASM_VECTOR_LEN;
|
|
getDataViewMemory0().setInt32(arg0 + 4 * 1, len1, true);
|
|
getDataViewMemory0().setInt32(arg0 + 4 * 0, ptr1, true);
|
|
};
|
|
imports.wbg.__wbg___wbindgen_throw_dd24417ed36fc46e = function(arg0, arg1) {
|
|
throw new Error(getStringFromWasm0(arg0, arg1));
|
|
};
|
|
imports.wbg.__wbg_call_abb4ff46ce38be40 = function() { return handleError(function (arg0, arg1) {
|
|
const ret = getObject(arg0).call(getObject(arg1));
|
|
return addHeapObject(ret);
|
|
}, arguments) };
|
|
imports.wbg.__wbg_error_7534b8e9a36f1ab4 = function(arg0, arg1) {
|
|
let deferred0_0;
|
|
let deferred0_1;
|
|
try {
|
|
deferred0_0 = arg0;
|
|
deferred0_1 = arg1;
|
|
console.error(getStringFromWasm0(arg0, arg1));
|
|
} finally {
|
|
wasm.__wbindgen_export4(deferred0_0, deferred0_1, 1);
|
|
}
|
|
};
|
|
imports.wbg.__wbg_error_7bc7d576a6aaf855 = function(arg0) {
|
|
console.error(getObject(arg0));
|
|
};
|
|
imports.wbg.__wbg_get_af9dab7e9603ea93 = function() { return handleError(function (arg0, arg1) {
|
|
const ret = Reflect.get(getObject(arg0), getObject(arg1));
|
|
return addHeapObject(ret);
|
|
}, arguments) };
|
|
imports.wbg.__wbg_instanceof_Performance_da835352e1f7d1fd = function(arg0) {
|
|
let result;
|
|
try {
|
|
result = getObject(arg0) instanceof Performance;
|
|
} catch (_) {
|
|
result = false;
|
|
}
|
|
const ret = result;
|
|
return ret;
|
|
};
|
|
imports.wbg.__wbg_log_1d990106d99dacb7 = function(arg0) {
|
|
console.log(getObject(arg0));
|
|
};
|
|
imports.wbg.__wbg_new_8a6f238a6ece86ea = function() {
|
|
const ret = new Error();
|
|
return addHeapObject(ret);
|
|
};
|
|
imports.wbg.__wbg_new_no_args_cb138f77cf6151ee = function(arg0, arg1) {
|
|
const ret = new Function(getStringFromWasm0(arg0, arg1));
|
|
return addHeapObject(ret);
|
|
};
|
|
imports.wbg.__wbg_now_69d776cd24f5215b = function() {
|
|
const ret = Date.now();
|
|
return ret;
|
|
};
|
|
imports.wbg.__wbg_now_8cf15d6e317793e1 = function(arg0) {
|
|
const ret = getObject(arg0).now();
|
|
return ret;
|
|
};
|
|
imports.wbg.__wbg_stack_0ed75d68575b0f3c = function(arg0, arg1) {
|
|
const ret = getObject(arg1).stack;
|
|
const ptr1 = passStringToWasm0(ret, wasm.__wbindgen_export, wasm.__wbindgen_export2);
|
|
const len1 = WASM_VECTOR_LEN;
|
|
getDataViewMemory0().setInt32(arg0 + 4 * 1, len1, true);
|
|
getDataViewMemory0().setInt32(arg0 + 4 * 0, ptr1, true);
|
|
};
|
|
imports.wbg.__wbg_static_accessor_GLOBAL_769e6b65d6557335 = function() {
|
|
const ret = typeof global === 'undefined' ? null : global;
|
|
return isLikeNone(ret) ? 0 : addHeapObject(ret);
|
|
};
|
|
imports.wbg.__wbg_static_accessor_GLOBAL_THIS_60cf02db4de8e1c1 = function() {
|
|
const ret = typeof globalThis === 'undefined' ? null : globalThis;
|
|
return isLikeNone(ret) ? 0 : addHeapObject(ret);
|
|
};
|
|
imports.wbg.__wbg_static_accessor_SELF_08f5a74c69739274 = function() {
|
|
const ret = typeof self === 'undefined' ? null : self;
|
|
return isLikeNone(ret) ? 0 : addHeapObject(ret);
|
|
};
|
|
imports.wbg.__wbg_static_accessor_WINDOW_a8924b26aa92d024 = function() {
|
|
const ret = typeof window === 'undefined' ? null : window;
|
|
return isLikeNone(ret) ? 0 : addHeapObject(ret);
|
|
};
|
|
imports.wbg.__wbindgen_cast_2241b6af4c4b2941 = function(arg0, arg1) {
|
|
// Cast intrinsic for `Ref(String) -> Externref`.
|
|
const ret = getStringFromWasm0(arg0, arg1);
|
|
return addHeapObject(ret);
|
|
};
|
|
imports.wbg.__wbindgen_object_clone_ref = function(arg0) {
|
|
const ret = getObject(arg0);
|
|
return addHeapObject(ret);
|
|
};
|
|
imports.wbg.__wbindgen_object_drop_ref = function(arg0) {
|
|
takeObject(arg0);
|
|
};
|
|
|
|
return imports;
|
|
}
|
|
|
|
function __wbg_finalize_init(instance, module) {
|
|
wasm = instance.exports;
|
|
__wbg_init.__wbindgen_wasm_module = module;
|
|
cachedDataViewMemory0 = null;
|
|
cachedFloat32ArrayMemory0 = null;
|
|
cachedUint8ArrayMemory0 = null;
|
|
|
|
|
|
wasm.__wbindgen_start();
|
|
return wasm;
|
|
}
|
|
|
|
function initSync(module) {
|
|
if (wasm !== undefined) return wasm;
|
|
|
|
|
|
if (typeof module !== 'undefined') {
|
|
if (Object.getPrototypeOf(module) === Object.prototype) {
|
|
({module} = module)
|
|
} else {
|
|
console.warn('using deprecated parameters for `initSync()`; pass a single object instead')
|
|
}
|
|
}
|
|
|
|
const imports = __wbg_get_imports();
|
|
if (!(module instanceof WebAssembly.Module)) {
|
|
module = new WebAssembly.Module(module);
|
|
}
|
|
const instance = new WebAssembly.Instance(module, imports);
|
|
return __wbg_finalize_init(instance, module);
|
|
}
|
|
|
|
async function __wbg_init(module_or_path) {
|
|
if (wasm !== undefined) return wasm;
|
|
|
|
|
|
if (typeof module_or_path !== 'undefined') {
|
|
if (Object.getPrototypeOf(module_or_path) === Object.prototype) {
|
|
({module_or_path} = module_or_path)
|
|
} else {
|
|
console.warn('using deprecated parameters for the initialization function; pass a single object instead')
|
|
}
|
|
}
|
|
|
|
if (typeof module_or_path === 'undefined') {
|
|
module_or_path = new URL('ruvector_sona_bg.wasm', import.meta.url);
|
|
}
|
|
const imports = __wbg_get_imports();
|
|
|
|
if (typeof module_or_path === 'string' || (typeof Request === 'function' && module_or_path instanceof Request) || (typeof URL === 'function' && module_or_path instanceof URL)) {
|
|
module_or_path = fetch(module_or_path);
|
|
}
|
|
|
|
const { instance, module } = await __wbg_load(await module_or_path, imports);
|
|
|
|
return __wbg_finalize_init(instance, module);
|
|
}
|
|
|
|
export { initSync };
|
|
export default __wbg_init;
|