MCP Titan

import * as tf from '@tensorflow/tfjs-node'; import { HopeMemoryModel } from '../model.js'; describe('HopeMemoryModel optimizer hooks', () => { let model: HopeMemoryModel; beforeEach(async () => { model = new HopeMemoryModel(); await model.initialize(); }); afterEach(() => { model.dispose(); }); it('resets gradient hooks without throwing', () => { expect(() => model.resetGradients()).not.toThrow(); }); it('prunes memory using information gain threshold', async () => { const state = model.createInitialState(); const input = tf.tensor2d([[0.3, 0.2, 0.5, 0.1]]); const update = model.forward(input, state); model.hydrateMemoryState(update.memoryUpdate.newState); const pruned = await model.pruneMemoryByInformationGain(0.5); expect(pruned.longTerm.shape[0]).toBeGreaterThanOrEqual(0); }); });