From abb569b287350a175a2434722d5b2112924d86b8 Mon Sep 17 00:00:00 2001 From: monkey-w1n5t0n Date: Tue, 21 Jul 2026 12:47:58 +0200 Subject: [PATCH] chore: delete retired-playground artefacts and root relics MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Phase 1 of the 2026-07 simplification audit, group 1. All verified dead by independent grep across scripts/, .github/workflows/, codegen/, manifold/, firmware/, vcv/, nisps/ and README.md before removal. - S23 / L55: playground/ — only dist/ was tracked (1.2 MB of bundled JS, sourcemaps and a second copy of nisps.wasm). The app itself is preserved on branch archive/playground-solidjs and tag playground-solidjs-final. - S29: the root Playwright rig — playwright.config.js, package.json, package-lock.json and tests/e2e/. It served ./playground, a page that no longer exists anywhere in the tree, and was invoked by nothing. NOTE: the live suite is manifold/tests/e2e/ with manifold/playwright.config.ts, which is untouched; every CI Playwright step runs with working-directory: manifold. - L48: NISPS_CORE_EXTRACTION_PLAN.md + NISPS_CORE_TASKS.md (818 lines of extraction relics; docs/specs/plans/ is the sanctioned home for plans). - L36: data/ — two CSVs from a retired era, plus a tracked LibreOffice lock file. - L32: .claude/worktrees/agent-ae87fe47/ only. The audit's wording invites deleting .claude/worktrees/ wholesale; that would have been destructive — the directory holds 12 LIVE registered git worktrees (332 MB), four of them on branches with unpushed commits. Verified agent-ae87fe47 is NOT registered before removing it; every live worktree is left intact. Cleaning up the rest is a separate operator decision. - ST10 fallout: dropped the dead `port-solidjs` branch trigger from ci.yml and the dead `feat/manifold-mission` / `feat/vcv-dist` triggers from vcv-plugin.yml — those branches are stale and the SolidJS target is retired. tests/cpp/ is untouched. Gates: run-all-tests.sh ALL GREEN. --- .../playground/js/shapeseq/chain-ui.js | 1002 ----------------- .../playground/js/shapeseq/chain.js | 319 ------ .../playground/js/shapeseq/primitive.js | 246 ---- .../playground/js/shapeseq/primitives.js | 505 --------- .../playground/js/shapeseq/sequencer.js | 304 ----- .../playground/js/shapeseq/step-viz.js | 328 ------ .github/workflows/ci.yml | 4 +- .github/workflows/vcv-plugin.yml | 2 +- NISPS_CORE_EXTRACTION_PLAN.md | 140 --- NISPS_CORE_TASKS.md | 678 ----------- data/.~lock.tree_cosmos_names.csv# | 1 - data/tree_cosmos_names.csv | 424 ------- data/tree_cosmos_names_2.csv | 420 ------- package-lock.json | 78 -- package.json | 13 - .../assets/PrimitivesShowcase-B55FOguW.css | 1 - .../assets/PrimitivesShowcase-D2lYbVrQ.js | 2 - .../assets/PrimitivesShowcase-D2lYbVrQ.js.map | 1 - playground/dist/assets/index-C1-a2ZPT.js | 3 - playground/dist/assets/index-C1-a2ZPT.js.map | 1 - playground/dist/assets/index-D19lnkK_.css | 1 - .../dist/assets/nisps-processor-BuKuNOY1.js | 2 - .../assets/nisps-processor-BuKuNOY1.js.map | 1 - playground/dist/assets/wasm-iml-FZSgVMmn.js | 2 - .../dist/assets/wasm-iml-FZSgVMmn.js.map | 1 - .../dist/assets/wasm-worker-OATBBHaT.js | 2 - .../dist/assets/wasm-worker-OATBBHaT.js.map | 1 - playground/dist/index.html | 14 - playground/dist/nisps.js | 2 - playground/dist/nisps.wasm | Bin 95864 -> 0 bytes playwright.config.js | 27 - tests/e2e/engine-switching.spec.js | 420 ------- tests/e2e/helpers.js | 32 - tests/e2e/input-pipeline.spec.js | 110 -- tests/e2e/ml-engine.spec.js | 170 --- tests/e2e/modular-mode.spec.js | 294 ----- tests/e2e/persistence.spec.js | 118 -- tests/e2e/ui-interactions.spec.js | 176 --- tests/e2e/wasm-api.spec.js | 231 ---- 39 files changed, 3 insertions(+), 6073 deletions(-) delete mode 100644 .claude/worktrees/agent-ae87fe47/playground/js/shapeseq/chain-ui.js delete mode 100644 .claude/worktrees/agent-ae87fe47/playground/js/shapeseq/chain.js delete mode 100644 .claude/worktrees/agent-ae87fe47/playground/js/shapeseq/primitive.js delete mode 100644 .claude/worktrees/agent-ae87fe47/playground/js/shapeseq/primitives.js delete mode 100644 .claude/worktrees/agent-ae87fe47/playground/js/shapeseq/sequencer.js delete mode 100644 .claude/worktrees/agent-ae87fe47/playground/js/shapeseq/step-viz.js delete mode 100644 NISPS_CORE_EXTRACTION_PLAN.md delete mode 100644 NISPS_CORE_TASKS.md delete mode 100644 data/.~lock.tree_cosmos_names.csv# delete mode 100644 data/tree_cosmos_names.csv delete mode 100644 data/tree_cosmos_names_2.csv delete mode 100644 package-lock.json delete mode 100644 package.json delete mode 100644 playground/dist/assets/PrimitivesShowcase-B55FOguW.css delete mode 100644 playground/dist/assets/PrimitivesShowcase-D2lYbVrQ.js delete mode 100644 playground/dist/assets/PrimitivesShowcase-D2lYbVrQ.js.map delete mode 100644 playground/dist/assets/index-C1-a2ZPT.js delete mode 100644 playground/dist/assets/index-C1-a2ZPT.js.map delete mode 100644 playground/dist/assets/index-D19lnkK_.css delete mode 100644 playground/dist/assets/nisps-processor-BuKuNOY1.js delete mode 100644 playground/dist/assets/nisps-processor-BuKuNOY1.js.map delete mode 100644 playground/dist/assets/wasm-iml-FZSgVMmn.js delete mode 100644 playground/dist/assets/wasm-iml-FZSgVMmn.js.map delete mode 100644 playground/dist/assets/wasm-worker-OATBBHaT.js delete mode 100644 playground/dist/assets/wasm-worker-OATBBHaT.js.map delete mode 100644 playground/dist/index.html delete mode 100644 playground/dist/nisps.js delete mode 100755 playground/dist/nisps.wasm delete mode 100644 playwright.config.js delete mode 100644 tests/e2e/engine-switching.spec.js delete mode 100644 tests/e2e/helpers.js delete mode 100644 tests/e2e/input-pipeline.spec.js delete mode 100644 tests/e2e/ml-engine.spec.js delete mode 100644 tests/e2e/modular-mode.spec.js delete mode 100644 tests/e2e/persistence.spec.js delete mode 100644 tests/e2e/ui-interactions.spec.js delete mode 100644 tests/e2e/wasm-api.spec.js diff --git a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/chain-ui.js b/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/chain-ui.js deleted file mode 100644 index ba3d779..0000000 --- a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/chain-ui.js +++ /dev/null @@ -1,1002 +0,0 @@ -/** - * ShapeSeq Chain Builder UI — vertical stack of primitive cards - * - * Pedalboard-style chain editor: expandable cards with param sliders, - * drag-to-reorder, delete, add-primitive palette, generator combine toggle. - * Mobile-first, dark glass theme matching the immersive playground. - * - * All styles are inline (no external CSS dependency). - * - * @module shapeseq/chain-ui - */ - -import { PRIMITIVE_REGISTRY } from './primitives.js'; - -// ── Category colors ────────────────────────────────────────────────── - -const CATEGORY_COLORS = { - generator: '#ff6a00', - processor: '#00ccff', - timing: '#ffcc00', - converter: '#88ff00', -}; - -// ── Inject styles once ─────────────────────────────────────────────── - -let stylesInjected = false; - -function injectStyles() { - if (stylesInjected) return; - stylesInjected = true; - - const css = ` -/* ── Chain Builder container ─────────────────────────────────── */ - -.chain-builder { - --cb-glass-bg: rgba(13, 13, 13, 0.72); - --cb-glass-border: rgba(255, 255, 255, 0.08); - --cb-glass-blur: 16px; - --cb-text: #e0e0e0; - --cb-text-dim: #888; - --cb-radius: 12px; - --cb-radius-sm: 8px; - --cb-accent: #ff6a00; - - display: flex; - flex-direction: column; - gap: 6px; - padding: 8px; - overflow-y: auto; - overflow-x: hidden; - -webkit-overflow-scrolling: touch; - font-family: 'JetBrains Mono', 'SF Mono', 'Fira Code', 'Cascadia Code', monospace; - font-size: 13px; - color: var(--cb-text); -} - -/* ── Primitive card ──────────────────────────────────────────── */ - -.chain-card { - position: relative; - background: var(--cb-glass-bg); - backdrop-filter: blur(var(--cb-glass-blur)); - -webkit-backdrop-filter: blur(var(--cb-glass-blur)); - border: 1px solid var(--cb-glass-border); - border-radius: var(--cb-radius); - overflow: hidden; - transition: box-shadow 0.2s, transform 0.15s; -} - -.chain-card.dragging { - opacity: 0.7; - box-shadow: 0 8px 32px rgba(0, 0, 0, 0.5); - transform: scale(1.03); - z-index: 100; -} - -.chain-card-left-border { - position: absolute; - left: 0; - top: 0; - bottom: 0; - width: 4px; - border-radius: var(--cb-radius) 0 0 var(--cb-radius); -} - -/* ── Card header ─────────────────────────────────────────────── */ - -.chain-card-header { - display: flex; - align-items: center; - gap: 8px; - padding: 10px 10px 10px 14px; - cursor: pointer; - user-select: none; - -webkit-user-select: none; -} - -.chain-card-drag { - display: flex; - flex-direction: column; - gap: 2px; - cursor: grab; - touch-action: none; - padding: 4px 2px; - opacity: 0.4; - transition: opacity 0.15s; -} - -.chain-card-drag:hover, -.chain-card-drag:active { - opacity: 0.8; -} - -.chain-card-drag span { - display: block; - width: 14px; - height: 2px; - background: var(--cb-text); - border-radius: 1px; -} - -.chain-card-name { - flex: 1; - font-weight: 600; - font-size: 13px; - white-space: nowrap; - overflow: hidden; - text-overflow: ellipsis; -} - -.chain-card-badge { - font-size: 9px; - text-transform: uppercase; - letter-spacing: 0.5px; - padding: 2px 6px; - border-radius: 4px; - background: rgba(255, 255, 255, 0.06); - color: var(--cb-text-dim); - white-space: nowrap; -} - -.chain-card-summary { - font-size: 11px; - color: var(--cb-text-dim); - white-space: nowrap; - overflow: hidden; - text-overflow: ellipsis; - max-width: 140px; -} - -.chain-card-delete { - background: none; - border: none; - color: var(--cb-text-dim); - font-size: 16px; - padding: 4px 6px; - cursor: pointer; - border-radius: 4px; - transition: color 0.15s, background 0.15s; - line-height: 1; -} - -.chain-card-delete:hover, -.chain-card-delete:active { - color: #ff4466; - background: rgba(255, 68, 102, 0.12); -} - -.chain-card-expand-icon { - font-size: 10px; - color: var(--cb-text-dim); - transition: transform 0.2s; -} - -.chain-card.expanded .chain-card-expand-icon { - transform: rotate(90deg); -} - -/* ── Card body (params) ──────────────────────────────────────── */ - -.chain-card-body { - max-height: 0; - overflow: hidden; - transition: max-height 0.25s ease; -} - -.chain-card.expanded .chain-card-body { - max-height: 600px; -} - -.chain-card-params { - display: flex; - flex-direction: column; - gap: 6px; - padding: 4px 14px 12px 14px; -} - -/* ── Param slider row ────────────────────────────────────────── */ - -.chain-param-row { - display: flex; - align-items: center; - gap: 8px; -} - -.chain-param-label { - font-size: 11px; - color: var(--cb-text-dim); - min-width: 80px; - white-space: nowrap; - overflow: hidden; - text-overflow: ellipsis; -} - -.chain-param-slider { - flex: 1; - -webkit-appearance: none; - appearance: none; - height: 6px; - border-radius: 3px; - background: rgba(255, 255, 255, 0.08); - outline: none; - cursor: pointer; -} - -.chain-param-slider::-webkit-slider-thumb { - -webkit-appearance: none; - appearance: none; - width: 16px; - height: 16px; - border-radius: 50%; - background: var(--cb-text); - border: 2px solid rgba(0, 0, 0, 0.3); - cursor: pointer; -} - -.chain-param-slider::-moz-range-thumb { - width: 16px; - height: 16px; - border-radius: 50%; - background: var(--cb-text); - border: 2px solid rgba(0, 0, 0, 0.3); - cursor: pointer; -} - -.chain-param-value { - font-size: 11px; - color: var(--cb-text-dim); - min-width: 32px; - text-align: right; - font-variant-numeric: tabular-nums; -} - -/* ── NISPS live indicator ────────────────────────────────────── */ - -.chain-param-row.nisps-live .chain-param-slider { - box-shadow: 0 0 0 2px rgba(0, 140, 255, 0.5); - animation: nisps-pulse 1.5s ease-in-out infinite; -} - -@keyframes nisps-pulse { - 0%, 100% { box-shadow: 0 0 0 2px rgba(0, 140, 255, 0.3); } - 50% { box-shadow: 0 0 0 3px rgba(0, 140, 255, 0.7); } -} - -/* ── Add button ──────────────────────────────────────────────── */ - -.chain-add-btn { - display: flex; - align-items: center; - justify-content: center; - gap: 6px; - padding: 12px; - border: 2px dashed rgba(255, 255, 255, 0.12); - border-radius: var(--cb-radius); - background: transparent; - color: var(--cb-text-dim); - font-family: inherit; - font-size: 13px; - cursor: pointer; - transition: border-color 0.15s, color 0.15s; -} - -.chain-add-btn:hover, -.chain-add-btn:active { - border-color: var(--cb-accent); - color: var(--cb-accent); -} - -/* ── Generator combine mode toggle ───────────────────────────── */ - -.chain-combine-toggle { - display: flex; - align-items: center; - justify-content: center; - gap: 8px; - padding: 8px 0 4px; -} - -.chain-combine-label { - font-size: 11px; - color: var(--cb-text-dim); -} - -.chain-combine-btn { - font-family: inherit; - font-size: 12px; - font-weight: 600; - padding: 4px 14px; - border: 1px solid rgba(255, 255, 255, 0.12); - border-radius: 6px; - background: rgba(255, 255, 255, 0.04); - color: var(--cb-text); - cursor: pointer; - transition: border-color 0.15s, background 0.15s; - min-width: 60px; - text-align: center; -} - -.chain-combine-btn:hover, -.chain-combine-btn:active { - border-color: var(--cb-accent); - background: rgba(255, 106, 0, 0.1); -} - -/* ── Palette modal ───────────────────────────────────────────── */ - -.chain-palette-overlay { - position: fixed; - inset: 0; - z-index: 9999; - display: flex; - align-items: flex-end; - justify-content: center; - background: rgba(0, 0, 0, 0.6); - animation: palette-fade-in 0.15s ease; -} - -@keyframes palette-fade-in { - from { opacity: 0; } - to { opacity: 1; } -} - -.chain-palette { - width: 100%; - max-width: 420px; - max-height: 80vh; - overflow-y: auto; - background: rgba(20, 20, 20, 0.95); - backdrop-filter: blur(20px); - -webkit-backdrop-filter: blur(20px); - border: 1px solid rgba(255, 255, 255, 0.1); - border-radius: 16px 16px 0 0; - padding: 16px 12px 24px; - animation: palette-slide-up 0.2s ease; -} - -@keyframes palette-slide-up { - from { transform: translateY(40px); opacity: 0; } - to { transform: translateY(0); opacity: 1; } -} - -.chain-palette-title { - font-size: 14px; - font-weight: 600; - color: var(--cb-text, #e0e0e0); - text-align: center; - margin-bottom: 12px; -} - -.chain-palette-item { - display: flex; - align-items: center; - gap: 10px; - padding: 12px; - border-radius: 10px; - cursor: pointer; - transition: background 0.12s; - border: none; - background: none; - width: 100%; - text-align: left; - font-family: inherit; - color: #e0e0e0; -} - -.chain-palette-item:hover, -.chain-palette-item:active { - background: rgba(255, 255, 255, 0.06); -} - -.chain-palette-item-color { - width: 4px; - height: 36px; - border-radius: 2px; - flex-shrink: 0; -} - -.chain-palette-item-info { - flex: 1; - min-width: 0; -} - -.chain-palette-item-name { - font-size: 13px; - font-weight: 600; -} - -.chain-palette-item-meta { - font-size: 11px; - color: #888; - margin-top: 2px; -} - -/* ── Drop indicator ──────────────────────────────────────────── */ - -.chain-drop-indicator { - height: 3px; - background: var(--cb-accent, #ff6a00); - border-radius: 2px; - margin: -2px 8px; - opacity: 0; - transition: opacity 0.1s; -} - -.chain-drop-indicator.active { - opacity: 1; -} -`; - - const style = document.createElement('style'); - style.textContent = css; - document.head.appendChild(style); -} - -// ── ChainBuilderUI ─────────────────────────────────────────────────── - -export class ChainBuilderUI { - /** - * @param {{ container: HTMLElement, chain: import('./chain.js').Chain, eventBus: { emit: Function, on: Function } }} opts - */ - constructor({ container, chain, eventBus }) { - injectStyles(); - - /** @type {HTMLElement} */ - this._container = container; - /** @type {import('./chain.js').Chain} */ - this._chain = chain; - /** @type {{ emit: Function, on: Function }} */ - this._bus = eventBus; - - /** @private @type {Set} flat param indices controlled by NISPS */ - this._liveParams = new Set(); - - /** @private @type {Function|null} */ - this._paramChangeCb = null; - - /** @private @type {Set} indices of expanded cards */ - this._expandedCards = new Set(); - - /** @private @type {Float32Array|null} current param values for display */ - this._currentParams = null; - - // ── Drag state ── - /** @private */ - this._dragIndex = -1; - /** @private */ - this._dragEl = null; - /** @private */ - this._dragStartY = 0; - /** @private */ - this._dragOffsetY = 0; - /** @private @type {HTMLElement|null} */ - this._cardList = null; - - // ── Palette overlay ref ── - /** @private @type {HTMLElement|null} */ - this._paletteOverlay = null; - - // ── Bound handlers for cleanup ── - this._onPointerMove = this._handlePointerMove.bind(this); - this._onPointerUp = this._handlePointerUp.bind(this); - - this.render(); - } - - // ── Public API ───────────────────────────────────────────────────── - - /** - * Rebuild the entire UI from current chain state. - */ - render() { - this._container.innerHTML = ''; - this._container.classList.add('chain-builder'); - - const primitives = this._chain.getPrimitives(); - - // Card list wrapper - const cardList = document.createElement('div'); - cardList.style.display = 'flex'; - cardList.style.flexDirection = 'column'; - cardList.style.gap = '6px'; - this._cardList = cardList; - - // Compute flat param offset for each primitive - let flatOffset = 0; - for (let i = 0; i < primitives.length; i++) { - const prim = primitives[i]; - const card = this._createCard(prim, i, flatOffset); - cardList.appendChild(card); - flatOffset += prim.paramCount; - } - - this._container.appendChild(cardList); - - // Add button - const addBtn = document.createElement('button'); - addBtn.className = 'chain-add-btn'; - addBtn.innerHTML = '+ Add Primitive'; - addBtn.addEventListener('click', () => this._openPalette()); - this._container.appendChild(addBtn); - - // Generator combine mode toggle - const toggle = this._createCombineToggle(); - this._container.appendChild(toggle); - } - - /** - * Update which flat param indices are NISPS-controlled (pulsing indicator). - * @param {Array} paramIndices - */ - setLiveParams(paramIndices) { - this._liveParams = new Set(paramIndices); - // Update existing rows without full re-render - const rows = this._container.querySelectorAll('.chain-param-row'); - rows.forEach((row) => { - const idx = parseInt(row.dataset.flatIndex, 10); - if (isNaN(idx)) return; - if (this._liveParams.has(idx)) { - row.classList.add('nisps-live'); - } else { - row.classList.remove('nisps-live'); - } - }); - } - - /** - * Register a callback for manual slider changes. - * @param {(flatParamIndex: number, value: number) => void} callback - */ - onParamChange(callback) { - this._paramChangeCb = callback; - } - - /** - * Update displayed param values without re-rendering. - * @param {Float32Array|Array} params - flat param array - */ - updateParamValues(params) { - this._currentParams = params; - const sliders = this._container.querySelectorAll('.chain-param-slider'); - sliders.forEach((slider) => { - const idx = parseInt(slider.dataset.flatIndex, 10); - if (!isNaN(idx) && idx < params.length) { - slider.value = params[idx]; - // Update adjacent value display - const valEl = slider.parentElement && slider.parentElement.querySelector('.chain-param-value'); - if (valEl) { - valEl.textContent = params[idx].toFixed(2); - } - } - }); - } - - /** - * Cleanup all DOM and listeners. - */ - destroy() { - this._closePalette(); - document.removeEventListener('pointermove', this._onPointerMove); - document.removeEventListener('pointerup', this._onPointerUp); - this._container.innerHTML = ''; - this._container.classList.remove('chain-builder'); - this._paramChangeCb = null; - } - - // ── Card creation ────────────────────────────────────────────────── - - /** - * @private - * @param {import('./primitive.js').Primitive} prim - * @param {number} chainIndex - * @param {number} flatOffset - flat param offset for this primitive - * @returns {HTMLElement} - */ - _createCard(prim, chainIndex, flatOffset) { - const card = document.createElement('div'); - card.className = 'chain-card'; - card.dataset.chainIndex = chainIndex; - if (this._expandedCards.has(chainIndex)) { - card.classList.add('expanded'); - } - - const catColor = CATEGORY_COLORS[prim.category] || '#888'; - - // Left color border - const leftBorder = document.createElement('div'); - leftBorder.className = 'chain-card-left-border'; - leftBorder.style.background = catColor; - card.appendChild(leftBorder); - - // Header - const header = document.createElement('div'); - header.className = 'chain-card-header'; - - // Drag handle - const drag = document.createElement('div'); - drag.className = 'chain-card-drag'; - drag.innerHTML = ''; - drag.addEventListener('pointerdown', (e) => this._handleDragStart(e, chainIndex, card)); - header.appendChild(drag); - - // Name - const name = document.createElement('span'); - name.className = 'chain-card-name'; - name.textContent = prim.name; - header.appendChild(name); - - // Category badge - const badge = document.createElement('span'); - badge.className = 'chain-card-badge'; - badge.textContent = prim.category; - badge.style.color = catColor; - header.appendChild(badge); - - // Summary (collapsed key params) - const summary = document.createElement('span'); - summary.className = 'chain-card-summary'; - summary.textContent = this._buildSummary(prim, flatOffset); - header.appendChild(summary); - - // Expand chevron - const chevron = document.createElement('span'); - chevron.className = 'chain-card-expand-icon'; - chevron.textContent = '\u25B6'; // right-pointing triangle - header.appendChild(chevron); - - // Delete button - const del = document.createElement('button'); - del.className = 'chain-card-delete'; - del.textContent = '\u00D7'; // multiplication sign as X - del.title = 'Remove'; - del.addEventListener('click', (e) => { - e.stopPropagation(); - this._removePrimitive(chainIndex); - }); - header.appendChild(del); - - // Toggle expand on header click (but not on drag handle or delete) - header.addEventListener('click', (e) => { - if (e.target.closest('.chain-card-drag') || e.target.closest('.chain-card-delete')) return; - this._toggleExpand(chainIndex, card); - }); - - card.appendChild(header); - - // Body (params) - const body = document.createElement('div'); - body.className = 'chain-card-body'; - - const paramsDiv = document.createElement('div'); - paramsDiv.className = 'chain-card-params'; - - for (let pi = 0; pi < prim.paramSchema.length; pi++) { - const schema = prim.paramSchema[pi]; - const flatIdx = flatOffset + pi; - const row = this._createParamRow(schema, flatIdx, prim); - paramsDiv.appendChild(row); - } - - body.appendChild(paramsDiv); - card.appendChild(body); - - return card; - } - - /** - * @private - */ - _buildSummary(prim, flatOffset) { - const schema = prim.paramSchema; - const maxShow = Math.min(3, schema.length); - const parts = []; - for (let i = 0; i < maxShow; i++) { - const val = this._currentParams - ? this._currentParams[flatOffset + i] - : schema[i].default; - parts.push(schema[i].name + ':' + (val !== undefined ? val.toFixed(2) : schema[i].default.toFixed(2))); - } - return parts.join(' '); - } - - /** - * @private - */ - _createParamRow(schema, flatIdx, prim) { - const row = document.createElement('div'); - row.className = 'chain-param-row'; - row.dataset.flatIndex = flatIdx; - if (this._liveParams.has(flatIdx)) { - row.classList.add('nisps-live'); - } - - const label = document.createElement('span'); - label.className = 'chain-param-label'; - label.textContent = schema.name; - row.appendChild(label); - - const slider = document.createElement('input'); - slider.type = 'range'; - slider.className = 'chain-param-slider'; - slider.min = '0'; - slider.max = '1'; - slider.step = '0.001'; - slider.dataset.flatIndex = flatIdx; - - const currentVal = this._currentParams - ? this._currentParams[flatIdx] - : schema.default; - slider.value = currentVal !== undefined ? currentVal : schema.default; - - const valDisplay = document.createElement('span'); - valDisplay.className = 'chain-param-value'; - valDisplay.textContent = parseFloat(slider.value).toFixed(2); - - slider.addEventListener('input', () => { - const v = parseFloat(slider.value); - valDisplay.textContent = v.toFixed(2); - if (this._paramChangeCb) { - this._paramChangeCb(flatIdx, v); - } - }); - - row.appendChild(slider); - row.appendChild(valDisplay); - - return row; - } - - // ── Expand / collapse ────────────────────────────────────────────── - - /** - * @private - */ - _toggleExpand(chainIndex, cardEl) { - if (this._expandedCards.has(chainIndex)) { - this._expandedCards.delete(chainIndex); - cardEl.classList.remove('expanded'); - } else { - this._expandedCards.add(chainIndex); - cardEl.classList.add('expanded'); - } - } - - // ── Add / remove primitives ──────────────────────────────────────── - - /** - * @private - */ - _removePrimitive(chainIndex) { - this._chain.removePrimitive(chainIndex); - // Adjust expanded set - const newExpanded = new Set(); - for (const idx of this._expandedCards) { - if (idx < chainIndex) newExpanded.add(idx); - else if (idx > chainIndex) newExpanded.add(idx - 1); - // idx === chainIndex is removed - } - this._expandedCards = newExpanded; - this.render(); - this._bus.emit('ui.chainEdit', { action: 'remove', index: chainIndex }); - } - - /** - * @private - */ - _addPrimitive(registryKey) { - const Ctor = PRIMITIVE_REGISTRY[registryKey]; - if (!Ctor) return; - const instance = new Ctor(); - this._chain.addPrimitive(instance); - this.render(); - this._bus.emit('ui.chainEdit', { action: 'add', name: registryKey }); - } - - // ── Palette ──────────────────────────────────────────────────────── - - /** - * @private - */ - _openPalette() { - if (this._paletteOverlay) return; - - const overlay = document.createElement('div'); - overlay.className = 'chain-palette-overlay'; - - const palette = document.createElement('div'); - palette.className = 'chain-palette'; - - const title = document.createElement('div'); - title.className = 'chain-palette-title'; - title.textContent = 'Add Primitive'; - palette.appendChild(title); - - const keys = Object.keys(PRIMITIVE_REGISTRY); - for (let i = 0; i < keys.length; i++) { - const key = keys[i]; - const CtorRef = PRIMITIVE_REGISTRY[key]; - // Instantiate temporarily to read metadata - const temp = new CtorRef(); - - const item = document.createElement('button'); - item.className = 'chain-palette-item'; - - const colorBar = document.createElement('div'); - colorBar.className = 'chain-palette-item-color'; - colorBar.style.background = CATEGORY_COLORS[temp.category] || '#888'; - item.appendChild(colorBar); - - const info = document.createElement('div'); - info.className = 'chain-palette-item-info'; - - const nameEl = document.createElement('div'); - nameEl.className = 'chain-palette-item-name'; - nameEl.textContent = temp.name; - info.appendChild(nameEl); - - const meta = document.createElement('div'); - meta.className = 'chain-palette-item-meta'; - meta.textContent = temp.category + ' \u00B7 ' + temp.paramCount + ' params'; - info.appendChild(meta); - - item.appendChild(info); - - item.addEventListener('click', () => { - this._closePalette(); - this._addPrimitive(key); - }); - - palette.appendChild(item); - } - - overlay.appendChild(palette); - - // Close on overlay click (outside palette) - overlay.addEventListener('click', (e) => { - if (e.target === overlay) { - this._closePalette(); - } - }); - - document.body.appendChild(overlay); - this._paletteOverlay = overlay; - } - - /** - * @private - */ - _closePalette() { - if (this._paletteOverlay) { - this._paletteOverlay.remove(); - this._paletteOverlay = null; - } - } - - // ── Generator combine mode toggle ────────────────────────────────── - - /** - * @private - */ - _createCombineToggle() { - const wrapper = document.createElement('div'); - wrapper.className = 'chain-combine-toggle'; - - const label = document.createElement('span'); - label.className = 'chain-combine-label'; - label.textContent = 'Gen combine:'; - wrapper.appendChild(label); - - const btn = document.createElement('button'); - btn.className = 'chain-combine-btn'; - btn.textContent = this._chain.generatorCombineMode === 'additive' ? 'Add' : 'Mul'; - - btn.addEventListener('click', () => { - if (this._chain.generatorCombineMode === 'additive') { - this._chain.generatorCombineMode = 'multiplicative'; - btn.textContent = 'Mul'; - } else { - this._chain.generatorCombineMode = 'additive'; - btn.textContent = 'Add'; - } - this._bus.emit('ui.chainEdit', { action: 'combineMode', mode: this._chain.generatorCombineMode }); - }); - - wrapper.appendChild(btn); - return wrapper; - } - - // ── Drag-to-reorder (pointer events) ─────────────────────────────── - - /** - * @private - */ - _handleDragStart(e, chainIndex, cardEl) { - e.preventDefault(); - e.stopPropagation(); - - this._dragIndex = chainIndex; - this._dragEl = cardEl; - this._dragStartY = e.clientY; - this._dragOffsetY = 0; - - cardEl.classList.add('dragging'); - cardEl.setPointerCapture(e.pointerId); - - document.addEventListener('pointermove', this._onPointerMove); - document.addEventListener('pointerup', this._onPointerUp); - } - - /** - * @private - */ - _handlePointerMove(e) { - if (this._dragIndex < 0 || !this._dragEl || !this._cardList) return; - - const dy = e.clientY - this._dragStartY; - this._dragOffsetY = dy; - this._dragEl.style.transform = 'translateY(' + dy + 'px) scale(1.03)'; - - // Determine drop target by checking which card we're over - const cards = this._cardList.querySelectorAll('.chain-card'); - const dragRect = this._dragEl.getBoundingClientRect(); - const dragCenter = dragRect.top + dragRect.height / 2; - - let targetIndex = this._dragIndex; - for (let i = 0; i < cards.length; i++) { - if (i === this._dragIndex) continue; - const rect = cards[i].getBoundingClientRect(); - const center = rect.top + rect.height / 2; - if (this._dragIndex < i && dragCenter > center) { - targetIndex = i; - } else if (this._dragIndex > i && dragCenter < center) { - targetIndex = i; - } - } - - this._dragTargetIndex = targetIndex; - } - - /** - * @private - */ - _handlePointerUp(e) { - document.removeEventListener('pointermove', this._onPointerMove); - document.removeEventListener('pointerup', this._onPointerUp); - - if (this._dragEl) { - this._dragEl.classList.remove('dragging'); - this._dragEl.style.transform = ''; - } - - const from = this._dragIndex; - const to = this._dragTargetIndex !== undefined ? this._dragTargetIndex : from; - - this._dragIndex = -1; - this._dragEl = null; - this._dragTargetIndex = undefined; - - if (from !== to && from >= 0) { - // Adjust expanded set for the move - const newExpanded = new Set(); - for (const idx of this._expandedCards) { - if (idx === from) { - newExpanded.add(to); - } else { - let adjusted = idx; - if (from < to) { - if (idx > from && idx <= to) adjusted = idx - 1; - } else { - if (idx >= to && idx < from) adjusted = idx + 1; - } - newExpanded.add(adjusted); - } - } - this._expandedCards = newExpanded; - - this._chain.movePrimitive(from, to); - this.render(); - this._bus.emit('ui.chainEdit', { action: 'reorder', from: from, to: to }); - } - } -} diff --git a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/chain.js b/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/chain.js deleted file mode 100644 index 7e0f88d..0000000 --- a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/chain.js +++ /dev/null @@ -1,319 +0,0 @@ -/** - * ShapeSeq Chain — sequential pipeline runner with generator combination modes - * - * Evaluates an ordered list of primitives as a sequential pipeline: - * 1. Generators run first, combined via additive or multiplicative merge - * 2. Processors transform the pattern in chain order - * 3. Converters run in chain order - * 4. Timing modifiers annotate last - * - * Params are distributed flat across primitives in chain order. - * Each primitive gets a deterministic PRNG stream via fork(masterPRNG, index). - * - * Port-ready: explicit state, typed arrays, no closures in hot path. - * - * @module shapeseq/chain - */ - -import { createPattern, mergePatterns } from './pattern.js'; -import { createPRNG, fork } from './prng.js'; - -// ── Category execution order ──────────────────────────────────────── - -const PHASE_ORDER = ['generator', 'processor', 'converter', 'timing']; - -// ── Chain class ───────────────────────────────────────────────────── - -export class Chain { - constructor() { - /** @private @type {Array} */ - this._primitives = []; - - /** @type {'additive'|'multiplicative'} */ - this.generatorCombineMode = 'additive'; - - /** @private @type {number} */ - this._masterSeed = 0; - - /** - * Per-primitive state objects, indexed by position in chain. - * Populated after evaluate() calls; used for freeze support. - * @private @type {Array} - */ - this._primitiveStates = []; - } - - // ── Primitive management ──────────────────────────────────────── - - /** - * Append a primitive to the end of the chain. - * @param {import('./primitive.js').Primitive} primitive - */ - addPrimitive(primitive) { - this._primitives.push(primitive); - this._primitiveStates.push(primitive.getState()); - } - - /** - * Remove the primitive at the given index. - * @param {number} index - */ - removePrimitive(index) { - const idx = index | 0; - if (idx < 0 || idx >= this._primitives.length) { - throw new RangeError('removePrimitive: index ' + index + ' out of range [0, ' + (this._primitives.length - 1) + ']'); - } - this._primitives.splice(idx, 1); - this._primitiveStates.splice(idx, 1); - } - - /** - * Insert a primitive at the given index, shifting others right. - * @param {number} index - * @param {import('./primitive.js').Primitive} primitive - */ - insertPrimitive(index, primitive) { - const idx = index | 0; - if (idx < 0 || idx > this._primitives.length) { - throw new RangeError('insertPrimitive: index ' + index + ' out of range [0, ' + this._primitives.length + ']'); - } - this._primitives.splice(idx, 0, primitive); - this._primitiveStates.splice(idx, 0, primitive.getState()); - } - - /** - * Move a primitive from one position to another. - * @param {number} fromIndex - * @param {number} toIndex - */ - movePrimitive(fromIndex, toIndex) { - const from = fromIndex | 0; - const to = toIndex | 0; - const len = this._primitives.length; - if (from < 0 || from >= len) { - throw new RangeError('movePrimitive: fromIndex ' + fromIndex + ' out of range [0, ' + (len - 1) + ']'); - } - if (to < 0 || to >= len) { - throw new RangeError('movePrimitive: toIndex ' + toIndex + ' out of range [0, ' + (len - 1) + ']'); - } - - const [prim] = this._primitives.splice(from, 1); - const [state] = this._primitiveStates.splice(from, 1); - this._primitives.splice(to, 0, prim); - this._primitiveStates.splice(to, 0, state); - } - - /** - * Get the current list of primitives (shallow copy). - * @returns {Array} - */ - getPrimitives() { - return this._primitives.slice(); - } - - // ── Configuration ─────────────────────────────────────────────── - - /** - * Total parameter count across all primitives in the chain. - * @returns {number} - */ - get totalParamCount() { - let total = 0; - for (let i = 0; i < this._primitives.length; i++) { - total += this._primitives[i].paramCount; - } - return total; - } - - /** - * Get a flat list of all param schemas across all primitives, - * annotated with their primitive and param indices. - * - * @returns {Array<{ primitiveIndex: number, paramIndex: number, schema: Object }>} - */ - getParamSchemas() { - const result = []; - for (let pi = 0; pi < this._primitives.length; pi++) { - const prim = this._primitives[pi]; - const schema = prim.paramSchema; - for (let si = 0; si < schema.length; si++) { - result.push({ - primitiveIndex: pi, - paramIndex: si, - schema: schema[si], - }); - } - } - return result; - } - - // ── Evaluation ────────────────────────────────────────────────── - - /** - * Evaluate the chain, producing a pattern description. - * - * Pipeline order: - * 1. Generators — combined via generatorCombineMode - * 2. Processors — sequential transform - * 3. Converters — sequential transform - * 4. Timing modifiers — annotate last - * - * @param {Float32Array|Array} params - flat param array distributed across primitives - * @param {number} stepCount - number of steps in the output pattern - * @param {number} masterSeed - seed for the master PRNG - * @returns {{ steps: Array, stepCount: number, metadata: Object }} - */ - evaluate(params, stepCount, masterSeed) { - const primitives = this._primitives; - const primCount = primitives.length; - - // Create master PRNG from seed - const masterPRNG = createPRNG(masterSeed >>> 0); - - // ── Bucket primitives by category, preserving chain order ── - - /** @type {Array<{ index: number, prim: Object }>} */ - const generators = []; - const processors = []; - const converters = []; - const timingMods = []; - - for (let i = 0; i < primCount; i++) { - const entry = { index: i, prim: primitives[i] }; - switch (primitives[i].category) { - case 'generator': generators.push(entry); break; - case 'processor': processors.push(entry); break; - case 'converter': converters.push(entry); break; - case 'timing': timingMods.push(entry); break; - } - } - - // ── Compute param offsets per primitive ── - - const paramOffsets = new Array(primCount); - let offset = 0; - for (let i = 0; i < primCount; i++) { - paramOffsets[i] = offset; - offset += primitives[i].paramCount; - } - - // ── Helper: run a single primitive ── - - const self = this; - - function runPrimitive(entry, inputPattern) { - const idx = entry.index; - const prim = entry.prim; - const pOffset = paramOffsets[idx]; - const pCount = prim.paramCount; - - // Slice params for this primitive - const primParams = new Float32Array(pCount); - for (let p = 0; p < pCount; p++) { - primParams[p] = pOffset + p < params.length ? +params[pOffset + p] : prim.paramSchema[p].default; - } - - // Fork a deterministic PRNG for this primitive - const primRNG = fork(masterPRNG, idx); - - // Get current state - const state = self._primitiveStates[idx] || prim.getState(); - - // Process - const result = prim.process(primParams, inputPattern, state, primRNG); - - // Store updated state - self._primitiveStates[idx] = result.nextState; - - return result.patternDesc; - } - - // ── Phase 1: Generators ── - - let pattern; - - if (generators.length === 0) { - // Default pattern: all steps triggered - pattern = createPattern(stepCount); - for (let i = 0; i < stepCount; i++) { - pattern.steps[i].trigger = true; - } - } else if (generators.length === 1) { - // Single generator — no merge needed - pattern = runPrimitive(generators[0], createPattern(stepCount)); - } else { - // Multiple generators — run each, then merge - let merged = runPrimitive(generators[0], createPattern(stepCount)); - for (let g = 1; g < generators.length; g++) { - const next = runPrimitive(generators[g], createPattern(stepCount)); - merged = mergePatterns(merged, next, this.generatorCombineMode); - } - pattern = merged; - } - - // ── Phase 2: Processors ── - - for (let i = 0; i < processors.length; i++) { - pattern = runPrimitive(processors[i], pattern); - } - - // ── Phase 3: Converters ── - - for (let i = 0; i < converters.length; i++) { - pattern = runPrimitive(converters[i], pattern); - } - - // ── Phase 4: Timing modifiers ── - - for (let i = 0; i < timingMods.length; i++) { - pattern = runPrimitive(timingMods[i], pattern); - } - - return pattern; - } - - // ── State management (for freeze) ────────────────────────────── - - /** - * Get serializable state for all primitives in the chain. - * @returns {Array} - */ - getState() { - const states = new Array(this._primitives.length); - for (let i = 0; i < this._primitives.length; i++) { - states[i] = this._primitiveStates[i] || this._primitives[i].getState(); - } - return states; - } - - /** - * Restore all primitive states from a previously serialized state array. - * @param {Array} states - */ - setState(states) { - if (!Array.isArray(states)) { - throw new TypeError('setState expects an array of state objects'); - } - const len = Math.min(states.length, this._primitives.length); - for (let i = 0; i < len; i++) { - this._primitives[i].setState(states[i]); - this._primitiveStates[i] = states[i]; - } - } - - /** - * Get the master PRNG seed. - * @returns {number} - */ - getMasterSeed() { - return this._masterSeed; - } - - /** - * Set the master PRNG seed. - * @param {number} seed - 32-bit integer seed - */ - setMasterSeed(seed) { - this._masterSeed = seed >>> 0; - } -} diff --git a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/primitive.js b/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/primitive.js deleted file mode 100644 index ebec5b6..0000000 --- a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/primitive.js +++ /dev/null @@ -1,246 +0,0 @@ -/** - * ShapeSeq Primitive Base Class and Param Schema System - * - * Base class for all sequencing primitives (generators, processors, - * timing modifiers, converters). Defines the param schema format, - * symbolic process() interface, and state management for freeze support. - * - * Port-ready: explicit state, no closures, typed arrays where possible. - * - * @module shapeseq/primitive - */ - -// ── Valid primitive categories ────────────────────────────────────── - -export const CATEGORIES = Object.freeze([ - 'generator', - 'processor', - 'timing', - 'converter', -]); - -// ── Param schema defaults ─────────────────────────────────────────── - -const DEFAULT_SCALED_RANGE = 0.3; - -// ── Boundary enforcement helpers ──────────────────────────────────── - -/** - * Clamp a value to [0, 1]. - * @param {number} v - * @returns {number} - */ -function clamp01(v) { - return v < 0 ? 0 : v > 1 ? 1 : v; -} - -/** - * Wrap a value into [0, 1) with modular arithmetic. - * @param {number} v - * @returns {number} - */ -function wrap01(v) { - const m = v % 1; - return m < 0 ? m + 1 : m; -} - -/** - * Apply boundary enforcement to a raw param value. - * - * @param {number} value - raw [0,1] value (or delta-adjusted value) - * @param {{ boundary: string, scaledRange?: number }} schema - param schema entry - * @param {number|null} frozenValue - frozen value for 'scaled' boundary (null if not frozen) - * @returns {number} - */ -export function applyBoundary(value, schema, frozenValue) { - switch (schema.boundary) { - case 'wrap': - return wrap01(value); - case 'scaled': { - if (frozenValue === null || frozenValue === undefined) { - return clamp01(value); - } - const range = schema.scaledRange !== undefined ? schema.scaledRange : DEFAULT_SCALED_RANGE; - const lo = frozenValue - range; - const hi = frozenValue + range; - // Map [0,1] input to [lo, hi], then clamp to [0,1] - const mapped = lo + value * (hi - lo); - return clamp01(mapped); - } - case 'clamp': - default: - return clamp01(value); - } -} - -// ── Param schema validation ───────────────────────────────────────── - -/** - * Validate a single param schema entry. - * Throws on invalid entries for fast fail during development. - * - * @param {{ name: string, default: number, boundary: string, scaledRange?: number }} entry - * @param {number} index - position in schema array (for error messages) - */ -function validateSchemaEntry(entry, index) { - if (!entry || typeof entry !== 'object') { - throw new TypeError('paramSchema[' + index + '] must be an object'); - } - if (typeof entry.name !== 'string' || entry.name.length === 0) { - throw new TypeError('paramSchema[' + index + '].name must be a non-empty string'); - } - if (typeof entry.default !== 'number' || entry.default < 0 || entry.default > 1) { - throw new RangeError('paramSchema[' + index + '].default must be in [0,1], got ' + entry.default); - } - if (entry.boundary !== 'clamp' && entry.boundary !== 'wrap' && entry.boundary !== 'scaled') { - throw new TypeError( - "paramSchema[" + index + "].boundary must be 'clamp', 'wrap', or 'scaled', got '" + entry.boundary + "'" - ); - } - if (entry.boundary === 'scaled') { - const sr = entry.scaledRange; - if (sr !== undefined && (typeof sr !== 'number' || sr <= 0 || sr > 1)) { - throw new RangeError('paramSchema[' + index + '].scaledRange must be in (0,1], got ' + sr); - } - } -} - -// ── Primitive base class ──────────────────────────────────────────── - -export class Primitive { - /** - * @param {string} name - unique identifier for this primitive type - * @param {string} category - one of CATEGORIES - * @param {Array<{ name: string, default: number, boundary: string, scaledRange?: number }>} paramSchema - */ - constructor(name, category, paramSchema) { - if (typeof name !== 'string' || name.length === 0) { - throw new TypeError('Primitive name must be a non-empty string'); - } - if (CATEGORIES.indexOf(category) === -1) { - throw new TypeError( - "Primitive category must be one of [" + CATEGORIES.join(', ') + "], got '" + category + "'" - ); - } - if (!Array.isArray(paramSchema)) { - throw new TypeError('paramSchema must be an array'); - } - - // Validate each entry - for (let i = 0; i < paramSchema.length; i++) { - validateSchemaEntry(paramSchema[i], i); - } - - /** @type {string} */ - this.name = name; - - /** @type {string} */ - this.category = category; - - /** - * Frozen copy of the param schema. Each entry: - * { name: string, default: number, boundary: 'clamp'|'wrap'|'scaled', scaledRange?: number } - * @type {Array} - */ - this.paramSchema = Object.freeze(paramSchema.map(function (entry) { - const frozen = { - name: entry.name, - default: entry.default, - boundary: entry.boundary, - }; - if (entry.boundary === 'scaled') { - frozen.scaledRange = entry.scaledRange !== undefined ? entry.scaledRange : DEFAULT_SCALED_RANGE; - } - return Object.freeze(frozen); - })); - - /** @private */ - this._seed = 0; - } - - // ── Param utilities ───────────────────────────────────────────── - - /** - * Total number of parameters this primitive exposes. - * @returns {number} - */ - get paramCount() { - return this.paramSchema.length; - } - - /** - * Get default param values as a Float32Array, one per schema entry. - * @returns {Float32Array} - */ - getDefaults() { - const count = this.paramSchema.length; - const defaults = new Float32Array(count); - for (let i = 0; i < count; i++) { - defaults[i] = this.paramSchema[i].default; - } - return defaults; - } - - // ── Symbolic processing ───────────────────────────────────────── - - /** - * Transform a pattern description. Subclasses MUST override this. - * - * - Generators ignore patternDesc and create a new one (using createPattern()) - * - Processors/timing modifiers clone and transform patternDesc - * - The rng param is a PRNG state from prng.js; consume via next(rng) - * and return the consumed state in the result - * - * @param {Float32Array|Array} params - param values, one per schema entry, each [0,1] - * @param {{ steps: Array, stepCount: number, metadata: Object }} patternDesc - input pattern - * @param {Object} state - primitive-specific state (from previous process() call or getState()) - * @param {{ state: number }} rng - PRNG state object from prng.js - * @returns {{ patternDesc: { steps: Array, stepCount: number, metadata: Object }, nextState: Object }} - */ - process(params, patternDesc, state, rng) { - void params; void patternDesc; void state; void rng; - throw new Error(this.name + '.process() must be overridden by subclass'); - } - - // ── State management (for freeze) ────────────────────────────── - - /** - * Get serializable state for this primitive. - * Stateless primitives return {}. Stateful primitives (e.g. Pitch Walker) - * override to include their internal state. - * - * @returns {Object} - */ - getState() { - return {}; - } - - /** - * Restore primitive state from a previously serialized state object. - * Stateless primitives are a no-op. Stateful primitives override. - * - * @param {Object} _state - */ - setState(_state) { - // no-op for stateless primitives - } - - /** - * Get the PRNG seed associated with this primitive. - * Used by freeze-as-algorithm to replay identical sequences. - * - * @returns {number} - */ - getSeed() { - return this._seed; - } - - /** - * Set the PRNG seed for this primitive. - * - * @param {number} seed - 32-bit integer seed - */ - setSeed(seed) { - this._seed = seed >>> 0; - } -} diff --git a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/primitives.js b/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/primitives.js deleted file mode 100644 index 9e21cf8..0000000 --- a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/primitives.js +++ /dev/null @@ -1,505 +0,0 @@ -/** - * ShapeSeq Sequencing Primitives - * - * All 8 primitives for the ShapeSeq generative sequencing system. - * Each extends Primitive and implements process(params, patternDesc, state, rng). - * - * Port-ready: explicit state, no closures, seeded PRNG, typed arrays. - * - * @module shapeseq/primitives - */ - -import { Primitive } from './primitive.js'; -import { createPattern, clonePattern, setStep } from './pattern.js'; -import { next, nextInt } from './prng.js'; - -// ── Helper: map [0,1] float to integer range [lo, hi] ────────────── - -function mapToInt(value, lo, hi) { - const clamped = value < 0 ? 0 : value > 1 ? 1 : value; - return lo + Math.floor(clamped * (hi - lo + 1 - 1e-9)); -} - -// ── 1. EuclideanRhythm ────────────────────────────────────────────── - -/** - * Bjorklund algorithm: distribute `pulses` as evenly as possible - * across `steps`, then apply rotation. - */ -function bjorklund(steps, pulses) { - if (pulses >= steps) { - const result = new Array(steps); - for (let i = 0; i < steps; i++) result[i] = true; - return result; - } - if (pulses <= 0) { - const result = new Array(steps); - for (let i = 0; i < steps; i++) result[i] = false; - return result; - } - - // Build pattern using Bjorklund's algorithm - let groups = []; - for (let i = 0; i < pulses; i++) groups.push([true]); - for (let i = 0; i < steps - pulses; i++) groups.push([false]); - - while (true) { - const remainder = groups.length - pulses; - if (remainder <= 1) break; - const minLen = Math.min(pulses, remainder); - const newGroups = []; - for (let i = 0; i < minLen; i++) { - newGroups.push(groups[i].concat(groups[groups.length - 1 - i])); - } - // Keep any leftovers - const leftStart = minLen; - const leftEnd = groups.length - minLen; - for (let i = leftStart; i < leftEnd; i++) { - newGroups.push(groups[i]); - } - groups = newGroups; - pulses = minLen; - if (pulses <= 1) break; - } - - // Flatten groups - const result = []; - for (let i = 0; i < groups.length; i++) { - for (let j = 0; j < groups[i].length; j++) { - result.push(groups[i][j]); - } - } - return result; -} - -export class EuclideanRhythm extends Primitive { - constructor() { - super('EuclideanRhythm', 'generator', [ - { name: 'steps', default: 0.5, boundary: 'clamp' }, - { name: 'pulses', default: 0.5, boundary: 'clamp' }, - { name: 'rotation', default: 0.0, boundary: 'wrap' }, - ]); - } - - process(params, patternDesc, state, rng) { - const stepCount = patternDesc.stepCount; - const steps = mapToInt(params[0], 2, stepCount); - const pulses = mapToInt(params[1], 0, steps); - const rotation = mapToInt(params[2], 0, steps - 1); - - const rhythm = bjorklund(steps, pulses); - const pattern = createPattern(stepCount); - - for (let i = 0; i < stepCount; i++) { - if (i < steps) { - const srcIdx = (i - rotation + steps) % steps; - if (rhythm[srcIdx]) { - setStep(pattern, i, { trigger: true }); - } - } - // Steps beyond `steps` remain untriggered (default) - } - - return { patternDesc: pattern, nextState: {} }; - } -} - -// ── 2. ProbabilityGate ────────────────────────────────────────────── - -export class ProbabilityGate extends Primitive { - constructor() { - super('ProbabilityGate', 'processor', [ - { name: 'density', default: 0.7, boundary: 'clamp' }, - { name: 'accentProbability', default: 0.3, boundary: 'clamp' }, - ]); - } - - process(params, patternDesc, state, rng) { - const density = params[0]; - const accentProb = params[1]; - const pattern = clonePattern(patternDesc); - let currentRng = rng; - - for (let i = 0; i < pattern.stepCount; i++) { - const step = pattern.steps[i]; - if (step.trigger) { - // Coin flip for survival - const r1 = next(currentRng); - currentRng = r1.nextState; - - if (r1.value >= density) { - step.trigger = false; - step.accent = false; - } else { - // Accent coin flip - const r2 = next(currentRng); - currentRng = r2.nextState; - step.accent = r2.value < accentProb; - } - } - } - - return { patternDesc: pattern, nextState: {} }; - } -} - -// ── 3. PitchWalker ────────────────────────────────────────────────── - -export class PitchWalker extends Primitive { - constructor() { - super('PitchWalker', 'generator', [ - { name: 'stepSize', default: 0.3, boundary: 'clamp' }, - { name: 'directionBias', default: 0.5, boundary: 'clamp' }, - { name: 'gravity', default: 0.3, boundary: 'clamp' }, - { name: 'range', default: 0.8, boundary: 'clamp' }, - ]); - - /** @private */ - this._position = 0.5; - } - - getState() { - return { position: this._position }; - } - - setState(savedState) { - if (savedState && typeof savedState.position === 'number') { - this._position = savedState.position; - } - } - - process(params, patternDesc, state, rng) { - const stepSize = params[0]; - const directionBias = params[1]; - const gravity = params[2]; - const range = params[3]; - - // Restore position from state if provided - let position = (state && typeof state.position === 'number') - ? state.position - : this._position; - - const pattern = createPattern(patternDesc.stepCount); - let currentRng = rng; - - // Use incoming pattern's triggers if available, otherwise all triggered - const srcSteps = patternDesc.steps; - - for (let i = 0; i < patternDesc.stepCount; i++) { - const triggered = srcSteps[i].trigger; - - if (triggered) { - // Random walk step - const r1 = next(currentRng); - currentRng = r1.nextState; - - // Direction: bias + gravity toward center - const gravityPull = (0.5 - position) * gravity; - const biasOffset = (directionBias - 0.5) * 2; // [-1, 1] - const direction = biasOffset + gravityPull; - - // Random component: [-1, 1] scaled by stepSize - const randomComponent = (r1.value * 2 - 1) * stepSize * range; - const delta = direction * stepSize * 0.5 + randomComponent; - - position = position + delta; - // Clamp to [0, 1] - if (position < 0) position = 0; - if (position > 1) position = 1; - - setStep(pattern, i, { trigger: true, pitch: position }); - } - // Untriggered steps keep default pitch, trigger=false - } - - this._position = position; - - return { - patternDesc: pattern, - nextState: { position: position }, - }; - } -} - -// ── 4. Ratchet ────────────────────────────────────────────────────── - -export class Ratchet extends Primitive { - constructor() { - super('Ratchet', 'timing', [ - { name: 'maxDivision', default: 0.5, boundary: 'clamp' }, - { name: 'probability', default: 0.5, boundary: 'clamp' }, - ]); - } - - process(params, patternDesc, state, rng) { - const maxDiv = mapToInt(params[0], 1, 4); - const probability = params[1]; - const pattern = clonePattern(patternDesc); - let currentRng = rng; - - for (let i = 0; i < pattern.stepCount; i++) { - const step = pattern.steps[i]; - if (step.trigger) { - const r1 = next(currentRng); - currentRng = r1.nextState; - - if (r1.value < probability && maxDiv > 1) { - // Pick a subdivision count in [2, maxDiv] - const r2 = nextInt(currentRng, 2, maxDiv); - currentRng = r2.nextState; - step.subdivisions = r2.value; - } - } - } - - return { patternDesc: pattern, nextState: {} }; - } -} - -// ── 5. SwingGroove ────────────────────────────────────────────────── - -export class SwingGroove extends Primitive { - constructor() { - super('SwingGroove', 'timing', [ - { name: 'swingAmount', default: 0.0, boundary: 'clamp' }, - { name: 'swingGrid', default: 0.0, boundary: 'clamp' }, - ]); - } - - process(params, patternDesc, state, rng) { - const swingAmount = params[0]; - const pattern = clonePattern(patternDesc); - - // Max swing = 0.33 (triplet feel) - const maxOffset = 0.33; - const offset = swingAmount * maxOffset; - - // Apply swing to every other step (odd-indexed steps) - for (let i = 1; i < pattern.stepCount; i += 2) { - pattern.steps[i].timeOffset = offset; - } - - return { patternDesc: pattern, nextState: {} }; - } -} - -// ── 6. DensityMorph ───────────────────────────────────────────────── - -export class DensityMorph extends Primitive { - constructor() { - super('DensityMorph', 'generator', [ - { name: 'density', default: 0.5, boundary: 'clamp' }, - { name: 'clustering', default: 0.0, boundary: 'clamp' }, - ]); - } - - process(params, patternDesc, state, rng) { - const density = params[0]; - const clustering = params[1]; - const stepCount = patternDesc.stepCount; - const pattern = createPattern(stepCount); - const numTriggers = Math.floor(density * stepCount); - - if (numTriggers <= 0) { - return { patternDesc: pattern, nextState: {} }; - } - if (numTriggers >= stepCount) { - for (let i = 0; i < stepCount; i++) { - setStep(pattern, i, { trigger: true }); - } - return { patternDesc: pattern, nextState: {} }; - } - - let currentRng = rng; - - if (clustering < 0.01) { - // Even spread: Euclidean-like placement - for (let i = 0; i < numTriggers; i++) { - const idx = Math.floor((i * stepCount) / numTriggers); - setStep(pattern, idx, { trigger: true }); - } - } else if (clustering > 0.99) { - // Full clustering: contiguous burst - const r1 = nextInt(currentRng, 0, stepCount - 1); - currentRng = r1.nextState; - const startPos = r1.value; - for (let i = 0; i < numTriggers; i++) { - const idx = (startPos + i) % stepCount; - setStep(pattern, idx, { trigger: true }); - } - } else { - // Interpolate: place triggers with clustering-dependent spread - // Use a "center of mass" approach: - // Pick a random center, then distribute triggers around it - // with spread inversely proportional to clustering - const r1 = next(currentRng); - currentRng = r1.nextState; - const center = r1.value * stepCount; - - // Spread factor: low clustering = large spread, high = tight - const spreadRadius = (1 - clustering) * stepCount * 0.5; - - // Score each step by distance from center (wrapping) - const scores = new Float32Array(stepCount); - for (let i = 0; i < stepCount; i++) { - // Wrapped distance from center - let dist = Math.abs(i - center); - if (dist > stepCount * 0.5) dist = stepCount - dist; - // Add small random jitter to break ties - const r2 = next(currentRng); - currentRng = r2.nextState; - scores[i] = dist / (spreadRadius + 0.001) + r2.value * 0.01; - } - - // Select the numTriggers steps with lowest scores - const indices = new Array(stepCount); - for (let i = 0; i < stepCount; i++) indices[i] = i; - indices.sort(function (a, b) { return scores[a] - scores[b]; }); - - for (let i = 0; i < numTriggers; i++) { - setStep(pattern, indices[i], { trigger: true }); - } - } - - return { patternDesc: pattern, nextState: {} }; - } -} - -// ── 7. IntervalLock ───────────────────────────────────────────────── - -const SCALES = [ - [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], // chromatic - [0, 2, 4, 5, 7, 9, 11], // major - [0, 2, 3, 5, 7, 8, 10], // natural minor - [0, 2, 3, 5, 7, 8, 11], // harmonic minor - [0, 2, 4, 7, 9], // pentatonic major - [0, 3, 5, 7, 10], // pentatonic minor - [0, 3, 5, 6, 7, 10], // blues - [0, 2, 3, 5, 7, 9, 10], // dorian - [0, 2, 4, 5, 7, 9, 10], // mixolydian - [0, 2, 4, 6, 8, 10], // whole tone - [0, 2, 3, 5, 6, 8, 9, 11], // diminished -]; - -export class IntervalLock extends Primitive { - constructor() { - super('IntervalLock', 'converter', [ - { name: 'root', default: 0.0, boundary: 'clamp' }, - { name: 'mode', default: 0.0, boundary: 'clamp' }, - { name: 'octaveRange', default: 0.25, boundary: 'clamp' }, - ]); - } - - process(params, patternDesc, state, rng) { - const root = mapToInt(params[0], 0, 11); - const scaleIdx = mapToInt(params[1], 0, SCALES.length - 1); - const octaveRange = mapToInt(params[2], 1, 4); - const scale = SCALES[scaleIdx]; - - const pattern = clonePattern(patternDesc); - - // Build the full set of MIDI notes in this scale + root + range - const notes = []; - for (let oct = 0; oct < octaveRange; oct++) { - for (let i = 0; i < scale.length; i++) { - const midiNote = root + scale[i] + oct * 12; - if (midiNote <= 127) { - notes.push(midiNote); - } - } - } - - if (notes.length === 0) { - return { patternDesc: pattern, nextState: {} }; - } - - for (let i = 0; i < pattern.stepCount; i++) { - const step = pattern.steps[i]; - // Quantize pitch [0,1] to nearest note in our scale - const targetIdx = Math.round(step.pitch * (notes.length - 1)); - const clampedIdx = targetIdx < 0 ? 0 : targetIdx >= notes.length ? notes.length - 1 : targetIdx; - // Store as MIDI note / 127 to stay in [0,1] - step.pitch = notes[clampedIdx] / 127; - } - - return { patternDesc: pattern, nextState: {} }; - } -} - -// ── 8. VelocityShaper ─────────────────────────────────────────────── - -export class VelocityShaper extends Primitive { - constructor() { - super('VelocityShaper', 'processor', [ - { name: 'curveType', default: 0.0, boundary: 'clamp' }, - { name: 'depth', default: 0.5, boundary: 'clamp' }, - { name: 'phase', default: 0.0, boundary: 'wrap' }, - ]); - } - - process(params, patternDesc, state, rng) { - const curveIdx = mapToInt(params[0], 0, 4); - const depth = params[1]; - const phase = params[2]; - const pattern = clonePattern(patternDesc); - const stepCount = pattern.stepCount; - let currentRng = rng; - - for (let i = 0; i < stepCount; i++) { - const step = pattern.steps[i]; - if (!step.trigger) continue; - - // Phase-shifted position - const pos = ((i / stepCount) + phase) % 1; - let shapeValue; - - switch (curveIdx) { - case 0: // flat - shapeValue = 1.0; - break; - case 1: // accent-every-N (accent every 4th step) - shapeValue = ((i + Math.floor(phase * stepCount)) % 4 === 0) ? 1.0 : 0.5; - break; - case 2: // crescendo - shapeValue = pos; - break; - case 3: // decrescendo - shapeValue = 1.0 - pos; - break; - case 4: { // random - const r1 = next(currentRng); - currentRng = r1.nextState; - shapeValue = r1.value; - break; - } - default: - shapeValue = 1.0; - } - - // Apply depth: interpolate between uniform (1.0) and shaped - // depth=0 means all same velocity (base), depth=1 means full shape - const baseVelocity = 0.7; - const shaped = shapeValue; - step.velocity = baseVelocity * (1 - depth) + shaped * depth; - - // Clamp - if (step.velocity < 0) step.velocity = 0; - if (step.velocity > 1) step.velocity = 1; - } - - return { patternDesc: pattern, nextState: {} }; - } -} - -// ── Registry ──────────────────────────────────────────────────────── - -export const PRIMITIVE_REGISTRY = { - EuclideanRhythm: EuclideanRhythm, - ProbabilityGate: ProbabilityGate, - PitchWalker: PitchWalker, - Ratchet: Ratchet, - SwingGroove: SwingGroove, - DensityMorph: DensityMorph, - IntervalLock: IntervalLock, - VelocityShaper: VelocityShaper, -}; diff --git a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/sequencer.js b/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/sequencer.js deleted file mode 100644 index 31d1d84..0000000 --- a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/sequencer.js +++ /dev/null @@ -1,304 +0,0 @@ -/** - * ShapeSeq Engine — central orchestrator - * - * Wires together the sequence MLP, param mapping, primitive chain, - * projection layer, clock engine, and C15 bridge. - * - * Main loop (triggered by setSequenceInputs): - * 1. Forward inputs to sequenceIML - * 2. Run MLP inference to get 16 outputs - * 3. Map 16 outputs to N primitive params via param-map - * 4. Evaluate the chain to produce a pattern description - * 5. Apply projection transforms - * 6. Schedule the pattern on the clock - * - * Bridge integration: - * - Subscribes to seq.noteOn / seq.noteOff on the event bus - * - Forwards to C15Bridge.noteOn / noteOff - * - Tracks active notes to avoid orphans - * - * @module shapeseq/sequencer - */ - -import { createSequenceIML, SEQ_N_OUTPUTS } from './seq-iml.js'; -import { Chain } from './chain.js'; -import { ClockEngine } from './clock.js'; -import { map } from './param-map.js'; -import { createProjectionChain, applyProjection, PRESETS } from './projection.js'; -import { SEQ } from './event-bus.js'; -import { - EuclideanRhythm, - ProbabilityGate, - PitchWalker, - IntervalLock, - VelocityShaper, -} from './primitives.js'; - -// ── Defaults ───────────────────────────────────────────────────────── - -const DEFAULT_BPM = 120; -const DEFAULT_STEP_COUNT = 8; -const DEFAULT_MASTER_SEED = 42; -const DEFAULT_SPREAD = 0.6; - -// ── ShapeSeqEngine ─────────────────────────────────────────────────── - -export class ShapeSeqEngine { - /** - * @param {{ audioContext: AudioContext, eventBus: import('./event-bus.js').EventBus, c15Bridge: import('../synth/c15-bridge.js').C15Bridge }} opts - */ - constructor({ audioContext, eventBus, c15Bridge }) { - if (!audioContext) throw new TypeError('ShapeSeqEngine requires an audioContext'); - if (!eventBus) throw new TypeError('ShapeSeqEngine requires an eventBus'); - if (!c15Bridge) throw new TypeError('ShapeSeqEngine requires a c15Bridge'); - - /** @private */ this._audioCtx = audioContext; - /** @private */ this._bus = eventBus; - /** @private */ this._c15 = c15Bridge; - - /** @private */ this._sequenceIML = null; - /** @private */ this._chain = null; - /** @private */ this._clock = null; - /** @private */ this._projectionChain = null; - - /** @private */ this._stepCount = DEFAULT_STEP_COUNT; - /** @private */ this._masterSeed = DEFAULT_MASTER_SEED; - /** @private */ this._playing = false; - /** @private */ this._initialized = false; - - // Track active notes for orphan prevention - /** @private @type {Set} */ - this._activeNotes = new Set(); - - // Bound handlers for event bus (stored for cleanup) - /** @private */ - this._onNoteOn = (data) => this._handleNoteOn(data); - /** @private */ - this._onNoteOff = (data) => this._handleNoteOff(data); - } - - // ── Lifecycle ────────────────────────────────────────────────────── - - /** - * Initialize all subsystems: create sequence IML, default chain, - * clock, and projection chain. Must be called before start(). - */ - async init() { - // 1. Create the sequence MLP - this._sequenceIML = await createSequenceIML(); - - // Randomize weights with default spread - this._sequenceIML.drawWeights(DEFAULT_SPREAD); - - // 2. Create the default primitive chain - this._chain = new Chain(); - this._chain.addPrimitive(new EuclideanRhythm()); - this._chain.addPrimitive(new ProbabilityGate()); - this._chain.addPrimitive(new PitchWalker()); - this._chain.addPrimitive(new IntervalLock()); - this._chain.addPrimitive(new VelocityShaper()); - this._chain.setMasterSeed(this._masterSeed); - - // 3. Set up the clock - this._clock = new ClockEngine(this._audioCtx, this._bus); - this._clock.bpm = DEFAULT_BPM; - - // 4. Create default projection chain (expressive preset) - const result = createProjectionChain(PRESETS.expressive); - if (!result.valid) { - throw new Error('Default projection chain invalid: ' + result.error); - } - this._projectionChain = result; - - // 5. Subscribe to event bus for C15 bridge integration - this._bus.on(SEQ.NOTE_ON, this._onNoteOn); - this._bus.on(SEQ.NOTE_OFF, this._onNoteOff); - - this._initialized = true; - } - - /** - * Start the clock. Requires init() to have been called. - */ - start() { - if (!this._initialized) { - throw new Error('ShapeSeqEngine.start() called before init()'); - } - if (this._playing) return; - - this._playing = true; - this._clock.start(); - } - - /** - * Stop the clock and release all active notes. - */ - stop() { - if (!this._playing) return; - - this._playing = false; - this._clock.stop(); - this._releaseAllNotes(); - } - - /** - * Full cleanup: stop playback, unsubscribe from events, destroy IML. - */ - destroy() { - this.stop(); - - // Unsubscribe from event bus - this._bus.off(SEQ.NOTE_ON, this._onNoteOn); - this._bus.off(SEQ.NOTE_OFF, this._onNoteOff); - - // Destroy the sequence IML instance - if (this._sequenceIML) { - this._sequenceIML.destroy(); - this._sequenceIML = null; - } - - this._chain = null; - this._clock = null; - this._projectionChain = null; - this._initialized = false; - } - - // ── Configuration ────────────────────────────────────────────────── - - /** - * Update the clock tempo. - * @param {number} bpm - */ - setTempo(bpm) { - if (this._clock) { - this._clock.setTempo(bpm); - } - } - - /** - * Set the number of steps in the generated pattern. - * @param {number} count - */ - setStepCount(count) { - const c = Math.max(1, count | 0); - this._stepCount = c; - } - - /** - * Set the projection preset by name. - * @param {'expressive'|'percussive'|'fullRange'} presetName - */ - setProjectionPreset(presetName) { - const preset = PRESETS[presetName]; - if (!preset) { - throw new Error('Unknown projection preset: ' + presetName); - } - const result = createProjectionChain(preset); - if (!result.valid) { - throw new Error('Projection chain invalid: ' + result.error); - } - this._projectionChain = result; - } - - // ── Chain access (for UI binding) ────────────────────────────────── - - /** @returns {Chain} */ - getChain() { return this._chain; } - - /** @returns {ClockEngine} */ - getClock() { return this._clock; } - - /** @returns {WasmIML} */ - getSequenceIML() { return this._sequenceIML; } - - // ── Input routing ────────────────────────────────────────────────── - - /** - * Feed new input values to the sequence MLP and run the full pipeline: - * MLP inference -> param mapping -> chain evaluation -> projection -> clock scheduling. - * - * Call this each frame with the routed input values (e.g., [x, y]). - * - * @param {number[]} values - input array (typically [x, y]) - */ - setSequenceInputs(values) { - if (!this._initialized || !this._sequenceIML) return; - - // 1. Forward inputs to the sequence IML - this._sequenceIML.setInputs(values); - - // 2. Run MLP inference - this._sequenceIML.process(); - - // 3. Get the 16 MLP outputs - const mlpOutputs = this._sequenceIML.getOutputs(); - - // 4. Map 16 outputs to N primitive params - const paramCount = this._chain.totalParamCount; - const mappedParams = map(mlpOutputs, paramCount); - - // 5. Evaluate the chain to produce a pattern description - const patternDesc = this._chain.evaluate(mappedParams, this._stepCount, this._masterSeed); - - // 6. Apply projection transforms - const projectedPattern = applyProjection(this._projectionChain, patternDesc); - - // 7. Schedule the pattern on the clock - this._clock.schedulePattern(projectedPattern); - } - - // ── ML control ───────────────────────────────────────────────────── - - /** @returns {boolean} */ - get isPlaying() { - return this._playing; - } - - // ── Bridge integration (private) ─────────────────────────────────── - - /** - * Handle seq.noteOn events from the event bus. - * Converts [0,1] pitch to MIDI note number and forwards to C15. - * - * @private - * @param {Object} data - { pitch, velocity, stepIndex, time, accent, isSubdivision } - */ - _handleNoteOn(data) { - // pitch comes from the projection layer; after RangeMap it's already - // in MIDI note range (e.g., 48-84). Round to nearest integer. - const midiNote = Math.round(data.pitch) | 0; - const velocity = data.velocity; - - // Clamp to valid MIDI range - const note = midiNote < 0 ? 0 : midiNote > 127 ? 127 : midiNote; - const vel = velocity < 0 ? 0 : velocity > 1 ? 1 : velocity; - - this._c15.noteOn(note, vel); - this._activeNotes.add(note); - } - - /** - * Handle seq.noteOff events from the event bus. - * - * @private - * @param {Object} data - { pitch, velocity, stepIndex, time } - */ - _handleNoteOff(data) { - const midiNote = Math.round(data.pitch) | 0; - const note = midiNote < 0 ? 0 : midiNote > 127 ? 127 : midiNote; - - this._c15.noteOff(note); - this._activeNotes.delete(note); - } - - /** - * Release all currently active notes to avoid orphaned noteOns. - * @private - */ - _releaseAllNotes() { - for (const note of this._activeNotes) { - this._c15.noteOff(note); - } - this._activeNotes.clear(); - } -} diff --git a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/step-viz.js b/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/step-viz.js deleted file mode 100644 index 8682c0c..0000000 --- a/.claude/worktrees/agent-ae87fe47/playground/js/shapeseq/step-viz.js +++ /dev/null @@ -1,328 +0,0 @@ -/** - * ShapeSeq Circular Step Visualizer - * - * Renders steps arranged in a circle (heptagon, tridecagon, etc.) - * with pitch mapped to radial distance, velocity to node size, - * and accent to color brightness. - * - * Designed for 60fps rendering — no allocations in the render loop. - * Port-ready: explicit state, no closures in hot paths. - * - * @module shapeseq/step-viz - */ - -import { SEQ } from './event-bus.js'; - -// ── Constants (pre-allocated, shared across instances) ────────────── - -const TWO_PI = Math.PI * 2; -const HALF_PI = Math.PI * 0.5; - -// Color constants -const COLOR_INACTIVE = 'rgba(255, 255, 255, 0.15)'; -const COLOR_ACTIVE = '#00ccff'; -const COLOR_CURRENT = '#ff6a00'; -const COLOR_ACCENT = '#ffcc00'; -const COLOR_BG = '#0d0d0d'; - -// Glow colors (pre-computed rgba strings) -const GLOW_ACTIVE = 'rgba(0, 204, 255, 0.3)'; -const GLOW_CURRENT = 'rgba(255, 106, 0, 0.4)'; -const GLOW_ACCENT = 'rgba(255, 204, 0, 0.35)'; - -// Layout -const PADDING_RATIO = 0.08; // canvas padding as fraction of min dimension -const OUTER_RADIUS_RATIO = 0.90; // outer ring at 90% of available radius -const INNER_RADIUS_RATIO = 0.30; // inner ring at 30% of available radius - -// Node sizing -const NODE_MIN_RADIUS = 4; -const NODE_MAX_RADIUS = 18; -const NODE_OUTLINE_WIDTH = 1.5; - -// Current-step indicator -const INDICATOR_EXTRA_RADIUS = 8; -const INDICATOR_LINE_WIDTH = 2; - -// Center dot -const CENTER_DOT_RADIUS = 3; - -// ── StepVisualizer ────────────────────────────────────────────────── - -export class StepVisualizer { - /** - * @param {{ canvas: HTMLCanvasElement, eventBus: import('./event-bus.js').EventBus }} opts - */ - constructor({ canvas, eventBus }) { - this._canvas = canvas; - this._ctx = canvas.getContext('2d'); - this._bus = eventBus; - - // State - this._pattern = null; // current pattern description - this._currentStep = -1; // playback position (-1 = none) - this._width = 0; - this._height = 0; - this._cx = 0; // center x - this._cy = 0; // center y - this._maxRadius = 0; // max ring radius in pixels - - // Pre-allocated arrays to avoid per-frame allocation. - // Sized lazily when pattern is set. - this._nodeX = null; // Float64Array — screen x per step - this._nodeY = null; // Float64Array — screen y per step - this._nodeR = null; // Float64Array — rendered radius per step - - // Interaction - this._tapCallback = null; - this._onPointerDown = this._handlePointerDown.bind(this); - - // Event bus subscription - this._onStep = this._handleStep.bind(this); - this._bus.on(SEQ.STEP, this._onStep); - - // Canvas interaction - this._canvas.addEventListener('pointerdown', this._onPointerDown); - - // Initial sizing - this.resize(canvas.getBoundingClientRect().width, canvas.getBoundingClientRect().height); - } - - // ── Public API ────────────────────────────────────────────────── - - /** - * Update the displayed pattern. - * @param {{ steps: Array, stepCount: number, metadata: Object }} patternDesc - */ - setPattern(patternDesc) { - this._pattern = patternDesc; - const count = patternDesc ? patternDesc.stepCount : 0; - - // (Re)allocate coordinate buffers only when step count changes - if (!this._nodeX || this._nodeX.length !== count) { - this._nodeX = new Float64Array(count); - this._nodeY = new Float64Array(count); - this._nodeR = new Float64Array(count); - } - - this._computeLayout(); - } - - /** - * Update the playback position. - * @param {number} index — step index (0-based), or -1 for none - */ - setCurrentStep(index) { - this._currentStep = index; - } - - /** - * Draw one frame. Call from requestAnimationFrame. - */ - render() { - const ctx = this._ctx; - const w = this._width; - const h = this._height; - - // Clear - ctx.fillStyle = COLOR_BG; - ctx.fillRect(0, 0, w, h); - - if (!this._pattern || this._pattern.stepCount === 0) return; - - const steps = this._pattern.steps; - const count = this._pattern.stepCount; - const cx = this._cx; - const cy = this._cy; - - // Draw connecting ring (subtle guide circle at midpoint radius) - const midRadius = this._maxRadius * ((OUTER_RADIUS_RATIO + INNER_RADIUS_RATIO) * 0.5); - ctx.beginPath(); - ctx.arc(cx, cy, midRadius, 0, TWO_PI); - ctx.strokeStyle = 'rgba(255, 255, 255, 0.06)'; - ctx.lineWidth = 1; - ctx.stroke(); - - // Center dot - ctx.beginPath(); - ctx.arc(cx, cy, CENTER_DOT_RADIUS, 0, TWO_PI); - ctx.fillStyle = 'rgba(255, 255, 255, 0.2)'; - ctx.fill(); - - // Draw connector line from center to current step - if (this._currentStep >= 0 && this._currentStep < count) { - const si = this._currentStep; - ctx.beginPath(); - ctx.moveTo(cx, cy); - ctx.lineTo(this._nodeX[si], this._nodeY[si]); - ctx.strokeStyle = 'rgba(255, 106, 0, 0.2)'; - ctx.lineWidth = INDICATOR_LINE_WIDTH; - ctx.stroke(); - } - - // Draw step nodes - for (let i = 0; i < count; i++) { - const step = steps[i]; - const nx = this._nodeX[i]; - const ny = this._nodeY[i]; - const nr = this._nodeR[i]; - const isCurrent = i === this._currentStep; - - if (isCurrent) { - // Outer glow for current step - ctx.beginPath(); - ctx.arc(nx, ny, nr + INDICATOR_EXTRA_RADIUS, 0, TWO_PI); - ctx.fillStyle = GLOW_CURRENT; - ctx.fill(); - } - - if (step.trigger) { - // Glow behind active nodes - if (!isCurrent) { - const glowColor = step.accent ? GLOW_ACCENT : GLOW_ACTIVE; - ctx.beginPath(); - ctx.arc(nx, ny, nr + 4, 0, TWO_PI); - ctx.fillStyle = glowColor; - ctx.fill(); - } - - // Filled node - ctx.beginPath(); - ctx.arc(nx, ny, nr, 0, TWO_PI); - if (isCurrent) { - ctx.fillStyle = COLOR_CURRENT; - } else if (step.accent) { - ctx.fillStyle = COLOR_ACCENT; - } else { - ctx.fillStyle = COLOR_ACTIVE; - } - ctx.fill(); - } else { - // Dim outline only for untriggered steps - ctx.beginPath(); - ctx.arc(nx, ny, nr, 0, TWO_PI); - ctx.strokeStyle = isCurrent ? COLOR_CURRENT : COLOR_INACTIVE; - ctx.lineWidth = NODE_OUTLINE_WIDTH; - ctx.stroke(); - } - } - } - - /** - * Handle canvas resize. - * @param {number} width — CSS pixels - * @param {number} height — CSS pixels - */ - resize(width, height) { - const dpr = window.devicePixelRatio || 1; - this._canvas.width = width * dpr; - this._canvas.height = height * dpr; - this._ctx.setTransform(dpr, 0, 0, dpr, 0, 0); - - this._width = width; - this._height = height; - this._cx = width * 0.5; - this._cy = height * 0.5; - - const minDim = Math.min(width, height); - this._maxRadius = (minDim * 0.5) * (1 - PADDING_RATIO * 2); - - this._computeLayout(); - } - - /** - * Register a tap callback. - * @param {function(number): void} callback — receives step index - */ - onStepTap(callback) { - this._tapCallback = callback; - } - - /** - * Unsubscribe from event bus and remove DOM listeners. - */ - destroy() { - this._bus.off(SEQ.STEP, this._onStep); - this._canvas.removeEventListener('pointerdown', this._onPointerDown); - this._tapCallback = null; - this._pattern = null; - } - - // ── Private ───────────────────────────────────────────────────── - - /** - * Re-compute node positions from current pattern + canvas size. - * Called when pattern or size changes — NOT per frame. - */ - _computeLayout() { - if (!this._pattern || !this._nodeX) return; - - const steps = this._pattern.steps; - const count = this._pattern.stepCount; - const cx = this._cx; - const cy = this._cy; - const maxR = this._maxRadius; - const outerR = maxR * OUTER_RADIUS_RATIO; - const innerR = maxR * INNER_RADIUS_RATIO; - const radiusRange = outerR - innerR; - - // Angular step: start at top (-PI/2), go clockwise - const angleStep = TWO_PI / count; - - for (let i = 0; i < count; i++) { - const step = steps[i]; - const angle = -HALF_PI + angleStep * i; - - // Pitch -> radial distance: low pitch = outer, high pitch = inner - const pitchNorm = step.pitch; // 0 = low (outer), 1 = high (inner) - const r = outerR - pitchNorm * radiusRange; - - this._nodeX[i] = cx + Math.cos(angle) * r; - this._nodeY[i] = cy + Math.sin(angle) * r; - - // Velocity -> node size - this._nodeR[i] = NODE_MIN_RADIUS + step.velocity * (NODE_MAX_RADIUS - NODE_MIN_RADIUS); - } - } - - /** - * Handle seq.step events from the event bus. - */ - _handleStep(data) { - if (typeof data.stepIndex === 'number') { - this._currentStep = data.stepIndex; - } - } - - /** - * Handle pointer down on the canvas for tap interaction. - */ - _handlePointerDown(e) { - if (!this._tapCallback || !this._pattern) return; - - const rect = this._canvas.getBoundingClientRect(); - const px = e.clientX - rect.left; - const py = e.clientY - rect.top; - const count = this._pattern.stepCount; - - // Find closest step within hit radius - let bestIdx = -1; - let bestDistSq = Infinity; - - for (let i = 0; i < count; i++) { - const dx = px - this._nodeX[i]; - const dy = py - this._nodeY[i]; - const distSq = dx * dx + dy * dy; - // Hit area is the node radius + some tolerance - const hitR = this._nodeR[i] + 12; - if (distSq < hitR * hitR && distSq < bestDistSq) { - bestDistSq = distSq; - bestIdx = i; - } - } - - if (bestIdx >= 0) { - this._tapCallback(bestIdx); - } - } -} diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 0cd6248..c0ce74f 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -16,9 +16,9 @@ name: CI on: push: - branches: [main, port-solidjs] + branches: [main] pull_request: - branches: [main, port-solidjs] + branches: [main] workflow_dispatch: jobs: diff --git a/.github/workflows/vcv-plugin.yml b/.github/workflows/vcv-plugin.yml index 153110a..7d8af33 100644 --- a/.github/workflows/vcv-plugin.yml +++ b/.github/workflows/vcv-plugin.yml @@ -12,7 +12,7 @@ name: VCV Rack plugin (cross-platform) on: push: - branches: [main, feat/manifold-mission, feat/vcv-dist] + branches: [main] paths: - 'vcv/**' - '.github/workflows/vcv-plugin.yml' diff --git a/NISPS_CORE_EXTRACTION_PLAN.md b/NISPS_CORE_EXTRACTION_PLAN.md deleted file mode 100644 index ff16da8..0000000 --- a/NISPS_CORE_EXTRACTION_PLAN.md +++ /dev/null @@ -1,140 +0,0 @@ -# NISPS Core Extraction Plan - -Extract a platform-agnostic C++20 controller library from MEMLNaut-NISPS. This is **not** a synth or audio engine - it's a parameter mapping engine: control data in → ML → control data out. Use it to drive synths, effects, lights, robots, whatever. - -> **Note**: Originally planned as C++17, upgraded to C++20 during implementation to use `std::span` for efficient array views. - -## What This Is - -NISPS core takes N input parameters (joystick position, sensor data, audio features) and maps them to M output parameters through an interactively-trained neural network. Users teach it by example: "when I'm here in input space, I want these output values." - -## Dependencies to Remove - -| Dependency | Replacement | -|------------|-------------| -| `Serial.print*` | Optional log callback | -| `queue_t` (Pico SDK) | Not needed (single-threaded) | -| `WString.h` (Arduino) | `std::string` | -| `__force_inline`, `AUDIO_MEM` | No-op macros | - -## Structure - -``` -nisps/ -├── mlp.hpp # MLP implementation (from memlp, cleaned) -├── dataset.hpp # Training dataset -├── iml.hpp # Interactive ML engine (~200 lines) -└── voice_space.hpp # Optional: example parameter mappings -``` - -## Core API - -```cpp -namespace nisps { - -template -class IML { -public: - IML(size_t n_inputs, size_t n_outputs, - std::vector hidden_layers = {10, 10, 14}); - - // Input - void set_input(size_t index, Float value); - void set_inputs(const Float* values, size_t count); - - // Output (valid after process()) - const Float* get_outputs() const; - size_t num_outputs() const; - - // Runtime - void process(); // Run inference, call at control rate - - // Training workflow - enum class Mode { Inference, Training }; - void set_mode(Mode mode); - void save_example(); // Store current input→output as training pair - void clear_dataset(); - void randomise_weights(); // For exploration in training mode - void train(); // Blocking, runs on current dataset - - // Optional - using LogFn = void(*)(const char*); - void set_logger(LogFn fn); -}; - -} // namespace nisps -``` - -## Usage - -```cpp -#include "nisps/iml.hpp" - -nisps::IML iml(3, 24); // 3 inputs (x,y,z), 24 outputs - -// Control loop -void update(float x, float y, float z) { - iml.set_input(0, x); - iml.set_input(1, y); - iml.set_input(2, z); - iml.process(); - - const float* params = iml.get_outputs(); - my_synth.set_filter_cutoff(params[0] * 10000.f); - my_synth.set_resonance(params[1]); - // ... etc -} - -// Training (triggered by user interaction) -void on_user_saves_position() { - iml.save_example(); -} - -void on_user_exits_training_mode() { - iml.set_mode(nisps::IML<>::Mode::Inference); - // This triggers training internally -} -``` - -## Voice Spaces (Optional) - -Voice spaces are just functions that interpret the raw 0-1 output parameters. Not part of core, but useful as examples: - -```cpp -// User-defined mapping -void apply_neve_style(const float* params, MyChannelStrip& strip) { - strip.pre_gain = 0.5f + params[0] * params[0] * 4.f; - strip.hp_freq = 30.f + params[8] * params[8] * 270.f; - strip.comp_threshold = 20.f + params[10] * -40.f; - // ... etc -} -``` - -## Phases - -### Phase 1: Get memlp building standalone (1-2 days) - -1. Copy `memlp` source into `nisps/` -2. Remove `Serial.print` calls (or stub them) -3. Remove Arduino `String` usage -4. Verify it compiles with g++/clang - -### Phase 2: Wrap in IML interface (2-3 days) - -1. Create `iml.hpp` with the API above -2. Port state machine logic from `IMLInterface.hpp` -3. Simple test: train on XOR, verify inference works - -### Phase 3: Example integration (1-2 days) - -1. Command-line example that reads CSV input, outputs CSV -2. Or: minimal JUCE/SDL example with mouse input - -**Total: ~1 week to something usable** - -## Later (only if needed) - -- Model serialization (save/load trained weights) -- Thread-safe parameter updates -- Python bindings -- WASM build diff --git a/NISPS_CORE_TASKS.md b/NISPS_CORE_TASKS.md deleted file mode 100644 index afa4066..0000000 --- a/NISPS_CORE_TASKS.md +++ /dev/null @@ -1,678 +0,0 @@ -# NISPS Core Extraction - Task Graph - -Atomic tasks for extracting nisps-core. Each task is standalone and requires no decisions. - ---- - -## Repository Setup - -### TASK-001: Create nisps-core directory structure -**Blocked by**: None -**Description**: Create the nisps-core directory with the required structure. -**Actions**: -1. Create directory: `nisps-core/` -2. Create directory: `nisps-core/include/nisps/` -3. Create directory: `nisps-core/test/` -4. Create directory: `nisps-core/examples/` -**Verification**: Directories exist. - -### TASK-002: Create CMakeLists.txt for nisps-core -**Blocked by**: TASK-001 -**Description**: Create a minimal CMakeLists.txt that builds the library as header-only with test target. -**Actions**: Create `nisps-core/CMakeLists.txt` with this exact content: -```cmake -cmake_minimum_required(VERSION 3.14) -project(nisps-core VERSION 0.1.0 LANGUAGES CXX) - -set(CMAKE_CXX_STANDARD 17) -set(CMAKE_CXX_STANDARD_REQUIRED ON) - -# Header-only library -add_library(nisps INTERFACE) -target_include_directories(nisps INTERFACE - $ - $ -) - -# Tests -option(NISPS_BUILD_TESTS "Build tests" ON) -if(NISPS_BUILD_TESTS) - enable_testing() - add_subdirectory(test) -endif() -``` -**Verification**: File exists with exact content. - -### TASK-003: Create test CMakeLists.txt -**Blocked by**: TASK-002 -**Description**: Create test/CMakeLists.txt for building tests. -**Actions**: Create `nisps-core/test/CMakeLists.txt` with this exact content: -```cmake -add_executable(nisps_test main.cpp) -target_link_libraries(nisps_test PRIVATE nisps) -add_test(NAME nisps_test COMMAND nisps_test) -``` -**Verification**: File exists with exact content. - -### TASK-004: Create placeholder test file -**Blocked by**: TASK-003 -**Description**: Create a minimal test file that includes the main header. -**Actions**: Create `nisps-core/test/main.cpp` with this exact content: -```cpp -#include -#include - -int main() { - std::cout << "nisps-core tests placeholder\n"; - return 0; -} -``` -**Verification**: File exists with exact content. - ---- - -## Phase 1: Extract MLP Core - -### TASK-010: Copy Utils.h with Arduino code removed -**Blocked by**: TASK-001 -**Description**: Copy `src/memlp/Utils.h` to `nisps-core/include/nisps/utils.hpp`, removing Arduino-specific code. -**Actions**: -1. Copy the file -2. Remove the `#ifdef ARDUINO` block (lines related to ENABLE_SAVE) -3. Remove the `extern "C" int getentropy` declaration at the end -4. Change header guard from `UTILS_H` to `NISPS_UTILS_HPP` -5. Wrap everything in `namespace nisps { ... }` - -**Changes to make** (be exact): -- Line 1: Change `#ifndef UTILS_H` to `#ifndef NISPS_UTILS_HPP` -- Line 2: Change `#define UTILS_H` to `#define NISPS_UTILS_HPP` -- Remove lines 38-45 (the `#if defined(_WIN32)...` and `#ifdef ARDUINO` ENABLE_SAVE blocks) -- After line 57 (`namespace utils {`), keep as-is (utils is a sub-namespace) -- Before the final `#endif`, add closing brace for nisps namespace -- Remove the last line `extern "C" int getentropy...` -- Add `namespace nisps {` after the includes, before `enum ACTIVATION_FUNCTIONS` -- Add `} // namespace nisps` before `#endif // NISPS_UTILS_HPP` - -**Verification**: File compiles with `g++ -std=c++17 -fsyntax-only nisps-core/include/nisps/utils.hpp` - -### TASK-011: Copy Loss.h -**Blocked by**: TASK-001 -**Description**: Copy `src/memlp/Loss.h` to `nisps-core/include/nisps/loss.hpp`. -**Actions**: -1. Copy the file -2. Change header guard from `LOSS_H` to `NISPS_LOSS_HPP` -3. Wrap everything in `namespace nisps { ... }` -4. Update include from `"Utils.h"` to `"utils.hpp"` - -**Verification**: File compiles with `g++ -std=c++17 -fsyntax-only -I nisps-core/include nisps-core/include/nisps/loss.hpp` - -### TASK-012: Copy Node.h -**Blocked by**: TASK-010 -**Description**: Copy `src/memlp/Node.h` to `nisps-core/include/nisps/node.hpp`. -**Actions**: -1. Copy the file -2. Change header guard from `NODE_H` to `NISPS_NODE_HPP` -3. Wrap everything in `namespace nisps { ... }` -4. Update include from `"Utils.h"` to `"utils.hpp"` - -**Verification**: File compiles with `g++ -std=c++17 -fsyntax-only -I nisps-core/include nisps-core/include/nisps/node.hpp` - -### TASK-013: Copy Layer.h -**Blocked by**: TASK-012 -**Description**: Copy `src/memlp/Layer.h` to `nisps-core/include/nisps/layer.hpp`. -**Actions**: -1. Copy the file -2. Change header guard from `LAYER_H` to `NISPS_LAYER_HPP` -3. Wrap everything in `namespace nisps { ... }` -4. Update include from `"Node.h"` to `"node.hpp"` - -**Verification**: File compiles with `g++ -std=c++17 -fsyntax-only -I nisps-core/include nisps-core/include/nisps/layer.hpp` - -### TASK-014: Copy Sample.h -**Blocked by**: TASK-001 -**Description**: Copy `src/memlp/Sample.h` to `nisps-core/include/nisps/sample.hpp`. -**Actions**: -1. Copy the file -2. Change header guard from `SAMPLE_H` to `NISPS_SAMPLE_HPP` -3. Wrap everything in `namespace nisps { ... }` - -**Verification**: File compiles with `g++ -std=c++17 -fsyntax-only nisps-core/include/nisps/sample.hpp` - -### TASK-015: Copy MLP.h with Arduino code removed -**Blocked by**: TASK-011, TASK-013, TASK-014 -**Description**: Copy `src/memlp/MLP.h` to `nisps-core/include/nisps/mlp.hpp`, removing Arduino-specific code. -**Actions**: -1. Copy the file -2. Change header guard from `MLP_H` to `NISPS_MLP_HPP` -3. **Remove lines 17-51** (the entire `#ifdef ARDUINO` block including Serial debug macros and SD includes) -4. Add these lines after the header guard instead: -```cpp -// Debug macros (no-op by default, override before including if needed) -#ifndef NISPS_DEBUG_PRINT -#define NISPS_DEBUG_PRINT(...) -#define NISPS_DEBUG_PRINTLN(...) -#define NISPS_DEBUG_PRINTF(...) -#endif -``` -5. Update includes: - - `"Layer.h"` → `"layer.hpp"` - - `"Utils.h"` → `"utils.hpp"` - - `"Loss.h"` → `"loss.hpp"` - - `"Sample.h"` → `"sample.hpp"` -6. Remove `#if ENABLE_SAVE` blocks (lines 94-96, 99-113, 115-119) - remove the conditionals but **keep** the function declarations -7. Remove `#if ENABLE_SAVE_SD` block entirely (lines 115-119) -8. Wrap everything in `namespace nisps { ... }` -9. Replace `MLP_DEBUG_PRINT` with `NISPS_DEBUG_PRINT`, `MLP_DEBUG_PRINTLN` with `NISPS_DEBUG_PRINTLN`, `MLP_DEBUG_PRINTF` with `NISPS_DEBUG_PRINTF` - -**Verification**: File compiles with `g++ -std=c++17 -fsyntax-only -I nisps-core/include nisps-core/include/nisps/mlp.hpp` - -### TASK-016: Copy MLP.cpp with Arduino code removed -**Blocked by**: TASK-015 -**Description**: Copy `src/memlp/MLP.cpp` to `nisps-core/include/nisps/mlp_impl.hpp` as inline implementation. -**Actions**: -1. Copy the file -2. Remove `#include "MLP.h"` (it will be included from mlp.hpp) -3. Add header guard `#ifndef NISPS_MLP_IMPL_HPP` / `#define NISPS_MLP_IMPL_HPP` -4. Wrap everything in `namespace nisps { ... }` -5. Remove all `#ifdef ARDUINO` / `#if ENABLE_SAVE` / `#if ENABLE_SAVE_SD` conditional blocks -6. For functions inside removed conditionals: keep the functions but remove the `#if` guards -7. Replace any `Serial.print*` calls with `NISPS_DEBUG_PRINT*` equivalents -8. At the end of `nisps-core/include/nisps/mlp.hpp`, add: `#include "mlp_impl.hpp"` - -**Verification**: A test file that instantiates `nisps::MLP` compiles and links. - -### TASK-017: Copy Dataset.hpp -**Blocked by**: TASK-001 -**Description**: Copy `src/memlp/Dataset.hpp` to `nisps-core/include/nisps/dataset.hpp`. -**Actions**: -1. Copy the file -2. Change header guard from `__DATASET_HPP__` to `NISPS_DATASET_HPP` -3. Wrap everything in `namespace nisps { ... }` - -**Verification**: File compiles with `g++ -std=c++17 -fsyntax-only nisps-core/include/nisps/dataset.hpp` - -### TASK-018: Copy Dataset.cpp as inline implementation -**Blocked by**: TASK-017 -**Description**: Copy `src/memlp/Dataset.cpp` to `nisps-core/include/nisps/dataset_impl.hpp`. -**Actions**: -1. Copy the file -2. Remove `#include "Dataset.hpp"` -3. Add header guard `#ifndef NISPS_DATASET_IMPL_HPP` / `#define NISPS_DATASET_IMPL_HPP` -4. Wrap everything in `namespace nisps { ... }` -5. Make all functions `inline` -6. At the end of `nisps-core/include/nisps/dataset.hpp`, add: `#include "dataset_impl.hpp"` - -**Verification**: A test file that instantiates `nisps::Dataset` compiles and links. - ---- - -## Phase 2: Create IML Interface - -### TASK-020: Create iml.hpp header -**Blocked by**: TASK-016, TASK-018 -**Description**: Create the main IML class header based on IMLInterface.hpp. -**Actions**: Create `nisps-core/include/nisps/iml.hpp` with this exact content: -```cpp -#ifndef NISPS_IML_HPP -#define NISPS_IML_HPP - -#include "mlp.hpp" -#include "dataset.hpp" -#include -#include -#include - -namespace nisps { - -template -class IML { -public: - enum class Mode { Inference, Training }; - - using LogFn = void(*)(const char*); - - IML(size_t n_inputs, size_t n_outputs, - std::vector hidden_layers = {10, 10, 14}, - size_t max_iterations = 1000, - Float learning_rate = 1.0f, - Float convergence_threshold = 0.00001f); - - // Input - void set_input(size_t index, Float value); - void set_inputs(const Float* values, size_t count); - - // Output (valid after process()) - const Float* get_outputs() const; - size_t num_inputs() const { return n_inputs_; } - size_t num_outputs() const { return n_outputs_; } - - // Runtime - void process(); - - // Training workflow - void set_mode(Mode mode); - Mode get_mode() const { return mode_; } - void save_example(); - void clear_dataset(); - void randomise_weights(); - - // Optional logging - void set_logger(LogFn fn) { log_fn_ = fn; } - -private: - void log(const char* msg) const { - if (log_fn_) log_fn_(msg); - } - void train(); - - size_t n_inputs_; - size_t n_outputs_; - size_t max_iterations_; - Float learning_rate_; - Float convergence_threshold_; - - Mode mode_ = Mode::Inference; - bool input_updated_ = false; - bool perform_inference_ = true; - - std::vector input_state_; - std::vector output_state_; - - std::unique_ptr dataset_; - std::unique_ptr> mlp_; - typename MLP::mlp_weights stored_weights_; - bool weights_randomised_ = false; - - LogFn log_fn_ = nullptr; -}; - -} // namespace nisps - -#include "iml_impl.hpp" - -#endif // NISPS_IML_HPP -``` -**Verification**: File exists with exact content. - -### TASK-021: Create iml_impl.hpp implementation -**Blocked by**: TASK-020 -**Description**: Create the IML implementation file based on IMLInterface.hpp logic. -**Actions**: Create `nisps-core/include/nisps/iml_impl.hpp` with this exact content: -```cpp -#ifndef NISPS_IML_IMPL_HPP -#define NISPS_IML_IMPL_HPP - -namespace nisps { - -template -IML::IML(size_t n_inputs, size_t n_outputs, - std::vector hidden_layers, - size_t max_iterations, - Float learning_rate, - Float convergence_threshold) - : n_inputs_(n_inputs) - , n_outputs_(n_outputs) - , max_iterations_(max_iterations) - , learning_rate_(learning_rate) - , convergence_threshold_(convergence_threshold) -{ - // Build layer sizes: input + hidden + output - const size_t kBias = 1; - std::vector layer_sizes; - layer_sizes.push_back(n_inputs + kBias); - for (size_t h : hidden_layers) { - layer_sizes.push_back(h); - } - layer_sizes.push_back(n_outputs); - - // Activation functions: RELU for hidden, SIGMOID for output - std::vector activations; - for (size_t i = 0; i < hidden_layers.size(); ++i) { - activations.push_back(RELU); - } - activations.push_back(SIGMOID); - - dataset_ = std::make_unique(); - mlp_ = std::make_unique>( - layer_sizes, - activations, - loss::LOSS_MSE, - false, // use_constant_weight_init - 0.0f // constant_weight_init - ); - - input_state_.resize(n_inputs, static_cast(0.5)); - output_state_.resize(n_outputs, static_cast(0)); -} - -template -void IML::set_input(size_t index, Float value) { - if (index >= n_inputs_) return; - if (value < 0) value = 0; - if (value > 1) value = 1; - input_state_[index] = value; - input_updated_ = true; -} - -template -void IML::set_inputs(const Float* values, size_t count) { - for (size_t i = 0; i < count && i < n_inputs_; ++i) { - set_input(i, values[i]); - } -} - -template -const Float* IML::get_outputs() const { - return output_state_.data(); -} - -template -void IML::process() { - if (!perform_inference_ || !input_updated_) return; - - // Add bias term - std::vector input_with_bias = input_state_; - input_with_bias.push_back(static_cast(1.0)); - - // Run inference - std::vector output(n_outputs_); - mlp_->GetOutput(input_with_bias, &output); - - output_state_ = output; - input_updated_ = false; -} - -template -void IML::set_mode(Mode mode) { - if (mode == Mode::Inference && mode_ == Mode::Training) { - train(); - } - mode_ = mode; -} - -template -void IML::save_example() { - // First call: stop inference, user will position output - if (perform_inference_) { - perform_inference_ = false; - log("Move to desired output position..."); - return; - } - - // Second call: store the example - dataset_->Add(input_state_, output_state_); - perform_inference_ = true; - - // Run inference with new example - std::vector input_with_bias = input_state_; - input_with_bias.push_back(static_cast(1.0)); - std::vector output(n_outputs_); - mlp_->GetOutput(input_with_bias, &output); - output_state_ = output; - - log("Example saved."); -} - -template -void IML::clear_dataset() { - if (mode_ == Mode::Training) { - dataset_->Clear(); - log("Dataset cleared."); - } -} - -template -void IML::randomise_weights() { - if (mode_ == Mode::Training) { - stored_weights_ = mlp_->GetWeights(); - mlp_->DrawWeights(); - weights_randomised_ = true; - - // Run inference to show effect - std::vector input_with_bias = input_state_; - input_with_bias.push_back(static_cast(1.0)); - std::vector output(n_outputs_); - mlp_->GetOutput(input_with_bias, &output); - output_state_ = output; - - log("Weights randomised."); - } -} - -template -void IML::train() { - // Restore weights if they were randomised - if (weights_randomised_) { - mlp_->SetWeights(stored_weights_); - weights_randomised_ = false; - } - - auto features = dataset_->GetFeatures(true); // with bias - auto& labels = dataset_->GetLabels(); - - if (features.empty() || labels.empty()) { - log("Empty dataset, skipping training."); - return; - } - - typename MLP::training_pair_t training_data(features, labels); - - log("Training..."); - Float loss = mlp_->Train( - training_data, - learning_rate_, - static_cast(max_iterations_), - convergence_threshold_, - false // output_log - ); - - // Run inference after training - std::vector input_with_bias = input_state_; - input_with_bias.push_back(static_cast(1.0)); - std::vector output(n_outputs_); - mlp_->GetOutput(input_with_bias, &output); - output_state_ = output; - - log("Training complete."); -} - -} // namespace nisps - -#endif // NISPS_IML_IMPL_HPP -``` -**Verification**: File exists with exact content. - ---- - -## Phase 3: Create Main Header and Test - -### TASK-030: Create main nisps.hpp header -**Blocked by**: TASK-020, TASK-021 -**Description**: Create the main include header that exposes the public API. -**Actions**: Create `nisps-core/include/nisps/nisps.hpp` with this exact content: -```cpp -#ifndef NISPS_HPP -#define NISPS_HPP - -#include "iml.hpp" - -#endif // NISPS_HPP -``` -**Verification**: File exists with exact content. - -### TASK-031: Create XOR training test -**Blocked by**: TASK-030 -**Description**: Replace the placeholder test with an XOR training test. -**Actions**: Replace `nisps-core/test/main.cpp` with this exact content: -```cpp -#include -#include -#include - -void log_callback(const char* msg) { - std::cout << "[nisps] " << msg << "\n"; -} - -int main() { - std::cout << "=== NISPS Core Test: XOR Training ===\n\n"; - - // Create IML with 2 inputs, 1 output - nisps::IML iml(2, 1, {4, 4}, 5000, 1.0f, 0.0001f); - iml.set_logger(log_callback); - - // Enter training mode - iml.set_mode(nisps::IML::Mode::Training); - - // Train on XOR pattern - // (0,0) -> 0 - iml.set_input(0, 0.0f); - iml.set_input(1, 0.0f); - iml.save_example(); // First call: stop inference - // Manually set output for this example (simulating user positioning) - // We access output_state_ indirectly by calling process after training - - // For this test, we'll add examples directly to dataset - // This simulates the two-step save process - - // Actually, let's test the full workflow properly: - // The IML class expects: save_example() twice per example - // 1. First call stops inference - // 2. User sets output position (we can't do this externally easily) - // 3. Second call stores input->output - - // For testing, let's verify the basic inference works - iml.set_mode(nisps::IML::Mode::Inference); - - // Test inference - iml.set_input(0, 0.0f); - iml.set_input(1, 0.0f); - iml.process(); - float out_00 = iml.get_outputs()[0]; - - iml.set_input(0, 1.0f); - iml.set_input(1, 0.0f); - iml.process(); - float out_10 = iml.get_outputs()[0]; - - iml.set_input(0, 0.0f); - iml.set_input(1, 1.0f); - iml.process(); - float out_01 = iml.get_outputs()[0]; - - iml.set_input(0, 1.0f); - iml.set_input(1, 1.0f); - iml.process(); - float out_11 = iml.get_outputs()[0]; - - std::cout << "\nInference results (untrained):\n"; - std::cout << " (0,0) -> " << out_00 << "\n"; - std::cout << " (1,0) -> " << out_10 << "\n"; - std::cout << " (0,1) -> " << out_01 << "\n"; - std::cout << " (1,1) -> " << out_11 << "\n"; - - std::cout << "\n=== Test passed: nisps-core compiles and runs ===\n"; - return 0; -} -``` -**Verification**: Test compiles and runs successfully. - -### TASK-032: Build and run tests -**Blocked by**: TASK-031 -**Description**: Build the library and run the test. -**Actions**: -```bash -cd nisps-core -mkdir -p build && cd build -cmake .. -make -ctest --output-on-failure -``` -**Verification**: All commands succeed, test outputs "Test passed". - ---- - -## Dependency Graph (ASCII) - -``` -TASK-001 (create dirs) - │ - ├──> TASK-002 (CMakeLists.txt) - │ │ - │ └──> TASK-003 (test CMakeLists.txt) - │ │ - │ └──> TASK-004 (placeholder test) - │ - ├──> TASK-010 (utils.hpp) - │ │ - │ └──> TASK-011 (loss.hpp) - │ │ │ - │ └──> TASK-012 (node.hpp) - │ │ - │ └──> TASK-013 (layer.hpp) - │ - ├──> TASK-014 (sample.hpp) - │ - ├──> TASK-017 (dataset.hpp) - │ │ - │ └──> TASK-018 (dataset_impl.hpp) - │ - └───────────────────────────────────────┐ - │ -TASK-011 + TASK-013 + TASK-014 ────────> TASK-015 (mlp.hpp) - │ - └──> TASK-016 (mlp_impl.hpp) - │ -TASK-016 + TASK-018 ───────────────────────────> TASK-020 (iml.hpp) - │ - └──> TASK-021 (iml_impl.hpp) - │ -TASK-020 + TASK-021 ───────────────────────────────────> TASK-030 (nisps.hpp) - │ - └──> TASK-031 (test) - │ - └──> TASK-032 (build & run) -``` - ---- - -## Critical Path - -The minimum path to a working library: -1. TASK-001 → TASK-002 → TASK-003 → TASK-004 (setup) -2. TASK-010 → TASK-012 → TASK-013 (utils → node → layer) -3. TASK-011 (loss, parallel with above) -4. TASK-014 (sample, parallel) -5. TASK-015 → TASK-016 (mlp) -6. TASK-017 → TASK-018 (dataset, parallel with 3-5) -7. TASK-020 → TASK-021 (iml) -8. TASK-030 → TASK-031 → TASK-032 (header + test + build) - -**Estimated time**: 4-6 hours for a capable agent. - ---- - -## File Checklist - -After all tasks complete, these files should exist: -``` -nisps-core/ -├── CMakeLists.txt -├── include/ -│ └── nisps/ -│ ├── nisps.hpp -│ ├── iml.hpp -│ ├── iml_impl.hpp -│ ├── mlp.hpp -│ ├── mlp_impl.hpp -│ ├── dataset.hpp -│ ├── dataset_impl.hpp -│ ├── layer.hpp -│ ├── node.hpp -│ ├── loss.hpp -│ ├── sample.hpp -│ └── utils.hpp -├── test/ -│ ├── CMakeLists.txt -│ └── main.cpp -└── examples/ -``` diff --git a/data/.~lock.tree_cosmos_names.csv# b/data/.~lock.tree_cosmos_names.csv# deleted file mode 100644 index 2608f38..0000000 --- a/data/.~lock.tree_cosmos_names.csv# +++ /dev/null @@ -1 +0,0 @@ -,ck84,dharma-the-swan,04.11.2025 16:41,file:///home/ck84/snap/libreoffice/358/.config/libreoffice/4; \ No newline at end of file diff --git a/data/tree_cosmos_names.csv b/data/tree_cosmos_names.csv deleted file mode 100644 index e71818d..0000000 --- a/data/tree_cosmos_names.csv +++ /dev/null @@ -1,424 +0,0 @@ -Name,Component_1,Component_2 -Betelginkgo,Betelgeuse,Ginkgo -Pleiadedar,Pleiades,Cedar -Helixypress,Helix Nebula,Cypress -Rigelmwood,Rigel,Elmwood -Sombreroak,Sombrero Galaxy,Oak -Hyadehorn,Hyades,Hawthorn -Triangularch,Triangulum,Larch -Vegalder,Vega,Alder -Whirlpoplar,Whirpool Galaxy,Poplar -Siriuswood,Sirius,Basswood -Oortcacia,Oort Cloud,Acacia -Denebony,Deneb,Ebony -Cartwhillow,Cartwheel Galaxy,Willow -Polariswood,Polaris,Ironwood -Craborwood,Crab Nebula,Hornbeam -Aldebaranyan,Aldebaran,Banyan -Pinwheelnut,Pinwheel Galaxy,Walnut -Antaresnut,Antares,Chestnut -Kuiperlpa,Kuiper Belt,Catalpa -Arcturuspruce,Arcturus,Spruce -Pegasafras,Pegasus,Sassafras -Capellaberry,Capella,Mulberry -Lyracacia,Lyra,Acacia -Polluxwood,Pollux,Boxwood -Scorpiumac,Scorpius,Sumac -Castorwood,Castor,Cottonwood -Dracodar,Draco,Cedar -Regulushua,Regulus,Joshua -Aquilnut,Aquila,Walnut -Spicamore,Spica,Sycamore -Cygnusswood,Cygnus,Sasswood -Proceyon,Procyon,Pecan -Perseusqoia,Perseus,Sequoia -Sagittalpa,Sagittarius,Catalpa -Tauruspen,Taurus,Aspen -Geminowan,Gemini,Rowan -Canceria,Cancer,Wisteria -Leogany,Leo,Mahogany -Virgoak,Virgo,Oak -Libraobab,Libra,Baobab -Ariescalyptus,Aries,Eucalyptus -Capricornia,Capricorn,Magnolia -Aquariusqoia,Aquarius,Sequoia -Piscesimmon,Pisces,Persimmon -Omeganolia,Omega Centauri,Magnolia -Beehivewood,Beehive Cluster,Olivewood -Pillarspress,Pillars of Creation,Cypress -Greatwillow,Great Wall,Willow -Localboobao,Local Bubble,Baobab -Termishoak,Termination Shock,Oak -Bowshocknut,Bow Shock,Chestnut -Stellarix,Stellar Wind,Tamarix -Heliopaulownia,Heliopause,Paulownia -Rochemewood,Roche Limit,Limewood -Eventhornbeam,Event Horizon,Hornbeam -Accretioak,Accretion Disk,Oak -Protoplanetree,Protoplanetary Disk,Planetree -Lagranginkgo,Lagrange Point,Ginkgo -Trojaniper,Trojan,Juniper -Gammarchwood,Gamma Ray Burst,Birchwood -Hypernowan,Hypernova,Rowan -Whitedwillow,White Dwarf,Willow -Redgianter,Red Giant,Red Alder -Superclusternut,Supercluster,Butternut -Filamenteakwood,Filament,Teakwood -Voidglass,Void,Douglass Fir -Greywallnut,Great Wall,Wallnut -Comettree,Comet,Peppertree -Asteroider,Asteroid Belt,Elder -Helixelkova,Helix Nebula,Zelkova -Orionwood,Orion Nebula,Redwood -Cassiopaple,Cassiopeia,Apple -Ursajortree,Ursa Major,Majortree -Ursaminorwood,Ursa Minor,Dogwood -Bristlecrab,Bristlecone Pine,Crab Nebula -Metasequoyasar,Metasequoia,Quasar -Monkeypleiades,Monkey Puzzle,Pleiades -Dragontree,Dragon Tree,Draco -Boojumbrero,Boojum,Sombrero Galaxy -Quiverwheel,Quiver Tree,Pinwheel -Joshuapiter,Joshua Tree,Jupiter -Wolleminebula,Wollemi Pine,Nebula -Dawndromeda,Dawn Redwood,Andromeda -Baldcygnuss,Bald Cypress,Cygnus -Zelkovega,Zelkova,Vega -Hornbeamstar,Hornbeam,Barnstar -Rowantares,Rowan,Antares -Basswoodburst,Basswood,Gamma Burst -Calabashea,Calabash,Cassiopeia -Neemeda,Neem,Andromeda -Salirius,Sal,Sirius -Tooniverse,Toon,Universe -Cassiapeia,Cassia,Cassiopeia -Yellowoodrion,Yellowwood,Orion -Blackwoodhole,Blackwood,Black Hole -Ironwoodsar,Ironwood,Quasar -Satinwhirl,Satinwood,Whirlpool -Poplarsar,Poplar,Pulsar -Cottonwoodway,Cottonwood,Milky Way -Sumacnova,Sumac,Supernova -Hazeleius,Hazel,Pegasus -Elderstar,Elder,Barnstar -Rigelbark,Rigel,Bark -Sirillow,Sirius,Willow -Altairix,Altair,Tamarix -Denebula,Deneb,Nebula -Polarispine,Polaris,Pine -Betelpine,Betelgeuse,Bristlecone -Rigellarch,Rigel,Larch -Vegamore,Vega,Sycamore -Altairnut,Altair,Chestnut -Arcturuscacia,Arcturus,Acacia -Capellaple,Capella,Apple -Polluxdogwood,Pollux,Dogwood -Castorong,Castor,Camphorwood -Regulusqoia,Regulus,Sequoia -Spicape,Spica,Grape -Procyonwood,Procyon,Sandalwood -Aldebaranyan,Aldebaran,Banyan -Antarespress,Antares,Cypress -Pleiadwood,Pleiades,Cedarwood -Hyadesmac,Hyades,Sumac -Beehivewood,Beehive,Olivewood -Orionniper,Orion,Juniper -Cassiopear,Cassiopeia,Pear -Dracoroak,Draco,Cork Oak -Lyralnut,Lyra,Walnut -Cygnust,Cygnus,Locust -Aquillow,Aquila,Willow -Perseusnut,Perseus,Butternut -Pegasuspen,Pegasus,Aspen -Andromelm,Andromeda,Elm -Triangulfir,Triangulum,Fir -Sombreruce,Sombrero,Spruce -Whirlpinecone,Whirlpool,Pine -Cartwheelnut,Cartwheel,Hazelnut -Helixelm,Helix,Elm -Crabapple,Crab Nebula,Crabapple -Pillarspen,Pillars,Aspen -Sagittariuswood,Sagittarius,Sandalwood -Scorpiuspen,Scorpius,Aspen -Taurusqoia,Taurus,Sequoia -Geminoak,Gemini,Oak -Cancerdar,Cancer,Cedar -Leowood,Leo,Boxwood -Virgowan,Virgo,Rowan -Librasswood,Libra,Basswood -Ariesnut,Aries,Chestnut -Capricornbeam,Capricorn,Hornbeam -Aquariuslder,Aquarius,Alder -Piscespress,Pisces,Cypress -Magnetardwood,Magnetar,Hardwood -Pulsarwood,Pulsar,Rosewood -Quasarberry,Quasar,Elderberry -Supernovakia,Supernova,Plumeria -Hypernovania,Hypernova,Paulownia -Blackholly,Black Hole,Holly -Whitedwarfpine,White Dwarf,White Pine -Redgiantwood,Red Giant,Giantwood -Bluegiganticacia,Blue Giant,Acacia -Neutronia,Neutron Star,Catalpa -Browndwarfnut,Brown Dwarf,Butternut -Protostarfir,Protostar,Fir -Mainsequoia,Main Sequence,Sequoia -Subergiantree,Supergiant,Tree -Yorkcloud,Oort Cloud,Cork -Kuiperlpa,Kuiper Belt,Catalpa -Heliospherical,Heliosphere,Spherical Tree -Heliopaulogany,Heliopause,Mahogany -Terminationoak,Termination Shock,Oak -Bowshockberry,Bow Shock,Hackberry -Stellarwindwood,Stellar Wind,Driftwood -Solarwindowan,Solar Wind,Rowan -Interstellarch,Interstellar Medium,Larch -Circumstellarix,Circumstellar Disk,Tamarix -Protoplanetree,Protoplanetary Disk,Plane Tree -Accretionoak,Accretion Disk,Oak -Eventhorizonwood,Event Horizon,Ironwood -Schwarzschillow,Schwarzschild Radius,Willow -Singularsimmon,Singularity,Persimmon -Rochelimewood,Roche Limit,Limewood -Lagrangewood,Lagrange Point,Rangewood -Trojantree,Trojan Asteroids,Tree -Hildazel,Hilda Group,Hazel -Amoribark,Amor Asteroids,Bark -Atenberry,Aten Asteroids,Elderberry -Apollomeria,Apollo Asteroids,Plumeria -Gammaburst Ash,Gamma Ray Burst,Ash -Xraybirch,X-ray Binary,Birch -Millisecwood,Millisecond Pulsar,Redwood -Magnetarch,Magnetar,Larch -Softgammawood,Soft Gamma Repeater,Softwood -Superclusternut,Supercluster,Clusternut -Galaxyclusterpine,Galaxy Cluster,Pine -Galaxygroupfir,Galaxy Group,Fir -Localgrowan,Local Group,Rowan -Virgoclusteroak,Virgo Cluster,Oak -Comaberrynicaceae,Coma Berenices,Berry -Greatwallnut,Great Wall,Wallnut -Sloangreatwillow,Sloan Great Wall,Willow -Herculessuperia,Hercules Supercluster,Wisteria -Shapleypress,Shapley Supercluster,Cypress -Laniakeroak,Laniakea Supercluster,Kauri Oak -Cosmicwebwood,Cosmic Web,Webwood -Filamentree,Filament,Tree -Voidwood,Void,Driftwood -Boötesvoidwood,Boötes Void,Olivewood -Sculptornut,Sculptor Void,Coconut -Greywallash,Great Wall,Ash -Localbubbaobab,Local Bubble,Baobab -Loopicacia,Local Interstellar Cloud,Acacia -Gouldspen,Gould Belt,Aspen -Orionspurmac,Orion Spur,Sumac -Sagittariusarmwood,Sagittarius Arm,Armwood -Perseusarmpine,Perseus Arm,Pine -Outerarmoak,Outer Arm,Oak -Scutumcentauruswood,Scutum-Centaurus Arm,Scutumwood -Normamalder,Norma Arm,Alder -Barredspiralex,Barred Spiral,Ilex -Ellipticacacia,Elliptical Galaxy,Acacia -Irregularnut,Irregular Galaxy,Butternut -Lenticularcorn,Lenticular Galaxy,Acorn -Dwarfnut,Dwarf Galaxy,Chestnut -Satelliteelm,Satellite Galaxy,Elm -Starburstfir,Starburst Galaxy,Fir -Seyfertree,Seyfert Galaxy,Feather Tree -Blazarwood,Blazar,Rosewood -Radiogalaxypress,Radio Galaxy,Cypress -Activenutcleus,Active Galactic Nucleus,Nut -Quasartree,Quasar,Quandong Tree -Ultraluminouswood,Ultraluminous Galaxy,Luminous Tree -Luminousredgiant,Luminous Red Galaxy,Red Giant Sequoia -Greenpeachia,Green Pea Galaxy,Peach -Polarringwood,Polar Ring Galaxy,Ringwood -Shellgalaxash,Shell Galaxy,Ash -Ringalaxypress,Ring Galaxy,Cypress -Hoagsobjectoak,Hoag's Object,Oak -Mayallsobjectree,Mayall's Object,Tree -Tadpolgalaxillow,Tadpole Galaxy,Willow -Cometgalaxalder,Comet Galaxy,Alder -Sunflowernut,Sunflower Galaxy,Sunflower -Blackeyewood,Black Eye Galaxy,Blackwood -Bodesgalaxnut,Bode's Galaxy,Coconut -Cigargalaxpress,Cigar Galaxy,Cypress -Mousesgalaxypen,Mice Galaxies,Aspen -Antennaegalaxynt,Antennae Galaxies,Antwood -Polarisstwood,Polaris,Sasswood -Rigwood,Rigel,Dogwood -Canopusnut,Canopus,Coconut -Vegamore,Vega,Sycamore -Capellalnut,Capella,Walnut -Rigelberry,Rigel,Mulberry -Procyonwood,Procyon,Cottonwood -Achernarnut,Achernar,Butternut -Betelgeuswood,Betelgeuse,Geuswood -Hadarcedarwood,Hadar,Cedarwood -Altairix,Altair,Tamarix -Alderaminwood,Alderamin,Alderwood -Denebolive,Denebola,Olive -Mimosacia,Mimosa,Acacia -Regulenut,Regulus,Filbert -Adharalnut,Adhara,Walnut -Shahelmwood,Shaula,Elm -Gacruxifir,Gacrux,Fir -Bellatrixnut,Bellatrix,Hazelnut -Elnathnut,Elnath,Chestnut -Miaplacidiumwood,Miaplacidus,Palladium -Alnitaknut,Alnitak,Coconut -Alnilamspen,Alnilam,Aspen -Aliothogany,Alioth,Mahogany -Mirzamberry,Mirzam,Mulberry -Alkaidnut,Alkaid,Butternut -Atriarch,Atria,Larch -Alhenawood,Alhena,Alderwood -Peacockahogany,Peacock,Mahogany -Mirfaknut,Mirfak,Coconut -Wezenalder,Wezen,Alder -Sargassage,Sargas,Sage -Menkarberry,Menkar,Elderberry -Eniffir,Enif,Fir -Denebalgedinut,Deneb Algedi,Butternut -Zubenhaknutbi,Zuben Hakrabi,Butternut -Alshainalnut,Alshain,Walnut -Rastabantamarind,Rastaban,Tamarind -Markabwood,Markab,Markwood -Schedarogany,Schedar,Mahogany -Almaalnutak,Almaak,Walnut -Rasalgetash,Rasalgethi,Ash -Thubanyan,Thuban,Banyan -Kausafras,Kaus Australis,Sassafras -Nunkirnut,Nunki,Coconut -Sabikwood,Sabik,Rosewood -Menkalnutnan,Menkalnan,Butternut -Asteropewood,Asterope,Redwood -Atlaspen,Atlas,Aspen -Electralder,Electra,Alder -Maiagany,Maia,Mahogany -Meropewood,Merope,Olivewood -Taugetamarix,Taygeta,Tamarix -Pleionetree,Pleione,Tree -Celaenoak,Celaeno,Oak -Alcyonedar,Alcyone,Cedar -Sterropopelnut,Sterope,Pecanut -Proximaple,Proxima Centauri,Apple -Alphacenternut,Alpha Centauri,Butternut -Barnardstaroak,Barnard's Star,Oak -Wolfwood,Wolf 359,Dogwood -Lalandelarch,Lalande 21185,Larch -Siriuswood,Sirius,Basswood -Luytenbirch,Luyten 726-8,Birch -Rossnut,Ross 154,Coconut -Rossberry,Ross 248,Elderberry -Epsilonwood,Epsilon Eridani,Sandalwood -Lacaillemwood,Lacaille 9352,Elmwood -Rosswood,Ross 128,Cottonwood -EZaquariuspen,EZ Aquarii,Aspen -Procyonix,Procyon,Phoenix -Sixtyonecygnust,61 Cygni,Locust -Struvewood,Struve 2398,Rosewood -Groombridgefir,Groombridge 34,Fir -Epsilondiwood,Epsilon Indi,Indigowood -DXcancroak,DX Cancri,Oak -Taucetialder,Tau Ceti,Alder -Luytenut,Luyten's Star,Butternut -Teegardeenspen,Teegarden's Star,Aspen -Kapteynsnut,Kapteyn's Star,Coconut -Lacaillewood,Lacaille 8760,Lacewood -Krugernut,Krüger 60,Coconut -Rosspress,Ross 614,Cypress -Wolfwoodogwood,Wolf 1061,Dogwood -Vanmaanensnut,Van Maanen's Star,Chestnut -Gliesetree,Gliese 1,Tree -Gielenseginkgo,Gliese 876,Ginkgo -Giseewood,Gliese 581,Rosewood -TRappistree,TRAPPIST-1,Trapwood -Gliesecherry,Gliese 667,Cherry -Glisewood,Gliese 832,Walnutwood -Glaesewood,Gliese 163,Olivewood -Gleasewood,Gliese 180,Teaselwood -Lessewood,Gliese 221,Lesserwood -Sleewood,Gliese 317,Sleekwood -Liewood,Gliese 357,Tree -Gleetree,Gliese 433,Tree -Graywood,Gliese 436,Graywood -Greatwood,Gliese 504,Greatwood -Greenwood,Gliese 570,Greenwood -Greshwood,Gliese 625,Ashwood -Gladewood,Gliese 649,Glade -Glowwood,Gliese 674,Glowwood -Gradewood,Gliese 682,Gradewood -Gracewood,Gliese 686,Gracewood -Grandewood,Gliese 785,Grandewood -Glintwood,Gliese 806,Flintwood -Grimwood,Gliese 832,Grimwood -Horsehead Hickory,Horsehead Nebula,Hickory -Eaglenberry,Eagle Nebula,Elderberry -Trifidogwood,Trifid Nebula,Dogwood -Lagoonwood,Lagoon Nebula,Lagoonwood -Rosettamarisk,Rosette Nebula,Tamarisk -Carinapress,Carina Nebula,Cypress -Veilbark,Veil Nebula,Bark -Northamericoak,North America Nebula,Oak -Flamingowan,Flaming Star Nebula,Rowan -Owlnut,Owl Nebula,Walnut -Catseyelm,Cat's Eye Nebula,Elm -Ringebula,Ring Nebula,Nebula -Dumbbellnut,Dumbbell Nebula,Butternut -Boomerangalm,Boomerang Nebula,Palm -Butterflypress,Butterfly Nebula,Cypress -Calasash,Calabash Nebula,Ash -Redspiderash,Red Spider Nebula,Ash -Eskimogany,Eskimo Nebula,Mahogany -Ghostjuniper,Ghost of Jupiter,Juniper -Helixogwood,Helix Nebula,Dogwood -Spiralpress,Spiral Planetary,Cypress -Littlegembark,Little Gem Nebula,Bark -Necklacacia,Necklace Nebula,Acacia -Saturnbeech,Saturn Nebula,Beech -Bluesnowbark,Blue Snowball,Bark -Twinjet Fir,Twin Jet Nebula,Fir -Hourglasswood,Hourglass Nebula,Boxwood -Eggwood,Egg Nebula,Dogwood -Boxtree,Box Nebula,Boxtree -Crescentpress,Crescent Nebula,Cypress -Bubblebark,Bubble Nebula,Bark -Thorwood,Thor's Helmet,Thornwood -Snailgum,Snail Nebula,Sweetgum -Conepinepress,Cone Nebula,Pine -Irisbeech,Iris Nebula,Beech -Witchheadash,Witch Head Nebula,Ash -Barnardloopwood,Barnard's Loop,Loopwood -Californiapress,California Nebula,Cypress -Heartbark,Heart Nebula,Bark -Soulspuce,Soul Nebula,Spruce -Pacmangany,Pacman Nebula,Mahogany -Monkeyheadnut,Monkey Head Nebula,Monkeynut -Wizardlm,Wizard Nebula,Elm -Tulipwood,Tulip Nebula,Tulipwood -Crescentbark,Crescent Nebula,Bark -Pelicangum,Pelican Nebula,Gum -Elephantstrunkwood,Elephant's Trunk,Trunkwood -Tuningforkpress,Tuning Fork Galaxy,Cypress -Sombrerowood,Sombrero Galaxy,Sombrerowood -Blackeyesycamore,Black Eye Galaxy,Sycamore -Sunflowernut,Sunflower Galaxy,Coconut -Pinwheelder,Pinwheel Galaxy,Elder -Fireworksgalaxyalder,Fireworks Galaxy,Alder -Spindlepress,Spindle Galaxy,Cypress -Bodesgalaxnut,Bode's Galaxy,Butternut -Cigargalaxbirch,Cigar Galaxy,Birch -Whirlpoolepress,Whirlpool Galaxy,Cypress -Cartwheelalder,Cartwheel Galaxy,Alder -Tadpolewood,Tadpole Galaxy,Tadwood -Antenaennut,Antennae Galaxies,Nut -Mousesgalaxielm,Mice Galaxies,Elm -Atomspeachachy,Atom's Peace Galaxy,Peachy -Malinsgalaxnut,Malin 1,Nut -Hoagsobjecteakwood,Hoag's Object,Teakwood -Ringgalaxynut,Ring Galaxy,Donut -Polarringiron,Polar Ring Galaxy,Ironwood -Silversliverwood,Silver Sliver Galaxy,Silverwood -Needlepress,Needle Galaxy,Cypress -Hamburgerash,Hamburger Galaxy,Ash \ No newline at end of file diff --git a/data/tree_cosmos_names_2.csv b/data/tree_cosmos_names_2.csv deleted file mode 100644 index 26f6434..0000000 --- a/data/tree_cosmos_names_2.csv +++ /dev/null @@ -1,420 +0,0 @@ -Name,Component_1,Component_2 -Pleiadeiba,Pleiades,Ceiba -Pau Brasilica,Pau Brasil,Crab Nebula -Araucarina,Araucaria,Carina Nebula -Quebracho X-1,Quebracho,Cygnus X-1 -Lapachomeda,Lapacho,Andromeda -Guanacastellum,Guanacaste,Magellanic Cloud -Trianguanum,Triangulum,Guanacaste -Jacarandromeda,Jacaranda,Andromeda -Ceibalaxy,Ceiba,Galaxy -Horsehead Brasil,Horsehead,Pau Brasil -Monkeypuzzle Void,Monkey Puzzle,Cosmic Void -Quebrachion,Quebracho,Orion -Lapachosar,Lapacho,Quasar -Rubber Rosette,Rubber Tree,Rosette Nebula -Cashewmeda,Cashew,Andromeda -Brazil Nutnova,Brazil Nut,Supernova -Cecropiades,Cecropia,Pleiades -Balsombrero,Balsa,Sombrero Galaxy -Rosewoodway,Rosewood,Milky Way -Ipe Helix,Ipe,Helix Nebula -Kapoksagittarius,Kapok,Sagittarius -Cedrella Cluster,Cedrella,Star Cluster -Alerce Lyra,Alerce,Lyra -Mahogalactica,Mahogany,Galactic Center -Pinwheelnut,Pinwheel,Brazil Nut -Tarantularch,Tarantula Nebula,Larch -Ceibomeda,Ceiba,Andromeda -Pau Brassiopeia,Pau Brasil,Cassiopeia -Araucarion,Araucaria,Orion -Quebrachole,Quebracho,Black Hole -Lapachoway,Lapacho,Milky Way -Guanasar,Guanacaste,Quasar -Jacaranebula,Jacaranda,Nebula -Ceiba Centauri,Ceiba,Alpha Centauri -Brazilbeehive,Brazil Nut,Beehive Cluster -Monkeypuzzar,Monkey Puzzle,Quasar -Quebrachomeda,Quebracho,Andromeda -Lapachydes,Lapacho,Hyades -Rubberway,Rubber Tree,Milky Way -Cashewsar,Cashew,Quasar -Nutmeda,Brazil Nut,Andromeda -Cecropiagalaxy,Cecropia,Galaxy -Balsanova,Balsa,Supernova -Rosettewood,Rosette,Rosewood -Ipegalaxy,Ipe,Galaxy -Kapoknebula,Kapok,Nebula -Cedrellaxy,Cedrella,Galaxy -Alercentauri,Alerce,Centaurus -Mahogacrab,Mahogany,Crab Nebula -Eaglebrasil,Eagle Nebula,Pau Brasil -Tarantuleia,Tarantula Nebula,Ceiba -Whirlpoolnut,Whirlpool,Brazil Nut -Araucagalaxy,Araucaria,Galaxy -Quebrachiades,Quebracho,Pleiades -Lapachomeda,Lapacho,Andromeda -Guanacasteroid,Guanacaste,Asteroid -Jacarandromeda,Jacaranda,Andromeda -Ceibulsar,Ceiba,Pulsar -Tadpolebrasil,Tadpole,Pau Brasil -Monkeynova,Monkey Puzzle,Supernova -Quebrachygnus,Quebracho,Cygnus -Lapachoacentauri,Lapacho,Alpha Centauri -Rubberhole,Rubber Tree,Black Hole -Cashewnova,Cashew,Supernova -Brazilbutterfly,Brazil Nut,Butterfly Cluster -Cecropiomeda,Cecropia,Andromeda -Balsagittarius,Balsa,Sagittarius -Rosewoodrion,Rosewood,Orion -Ipeleiades,Ipe,Pleiades -Kapoksombrero,Kapok,Sombrero Galaxy -Cedrellipse,Cedrella,Elliptical Galaxy -Alercegalaxy,Alerce,Galaxy -Mahogaring,Mahogany,Ring Nebula -Cartwheeiba,Cartwheel,Ceiba -Pau Brasilian,Pau Brasil,Cassiopeian -Araucarionebula,Araucaria,Orion Nebula -Quebrasar,Quebracho,Quasar -Lapachomega,Lapacho,Omega Centauri -Guanacastway,Guanacaste,Milky Way -Jacaranovae,Jacaranda,Supernova -Ceibachomeda,Ceiba,Andromeda -Sunflowerbrasil,Sunflower Galaxy,Pau Brasil -Monkeypuzzalaxy,Monkey Puzzle,Galaxy -Quebrachoxima,Quebracho,Proxima -Lapachosar,Lapacho,Quasar -Rubberbula,Rubber Tree,Nebula -Cashewcluster,Cashew,Star Cluster -Nutway,Brazil Nut,Milky Way -Cecropianebula,Cecropia,Nebula -Balsagara,Balsa,Sagittarius A* -Rosewoodraco,Rosewood,Draco -Ipelipse,Ipe,Ellipse -Kapokagoon,Kapok,Lagoon Nebula -Cedrellaneta,Cedrella,Planetary Nebula -Alercerion,Alerce,Orion -Mahogacarina,Mahogany,Carina -Trifidnut,Trifid Nebula,Brazil Nut -Tarantulacho,Tarantula,Lapacho -Ceibanova,Ceiba,Supernova -Pau Brasilion,Pau Brasil,Orion -Araucariades,Araucaria,Pleiades -Quebrachoelix,Quebracho,Helix -Lapacholia,Lapacho,Magnolia -Guanacasar,Guanacaste,Quasar -Jacarandromeda,Jacaranda,Andromeda -Ceibulsar,Ceiba,Pulsar -Titan Brasil,Titan,Pau Brasil -Monkeynebula,Monkey Puzzle,Nebula -Quebrachomeda,Quebracho,Andromeda -Lapachogalaxy,Lapacho,Galaxy -Rubbersar,Rubber Tree,Quasar -Cashewmeda,Cashew,Andromeda -Nutcluster,Brazil Nut,Cluster -Cecropioway,Cecropia,Milky Way -Balsanebula,Balsa,Nebula -Rosewoodway,Rosewood,Milky Way -Ipegalaxy,Ipe,Galaxy -Kapoksar,Kapok,Quasar -Cedrellaxy,Cedrella,Galaxy -Alercenova,Alerce,Supernova -Mahogalactic,Mahogany,Galactic -Sculptorbrasil,Sculptor Galaxy,Pau Brasil -Ceibomeda,Ceiba,Andromeda -Araucarionway,Araucaria,Milky Way -Quebrachion,Quebracho,Orion -Lapachohole,Lapacho,Black Hole -Guanacastromeda,Guanacaste,Andromeda -Jacaranebula,Jacaranda,Nebula -Ceibagalaxy,Ceiba,Galaxy -Europa Brasil,Europa,Pau Brasil -Monkeypuzzar,Monkey Puzzle,Quasar -Quebrachnova,Quebracho,Supernova -Lapachoides,Lapacho,Hyades -Rubbermeda,Rubber Tree,Andromeda -Cashewnova,Cashew,Supernova -Nutway,Brazil Nut,Milky Way -Cecropiagalaxy,Cecropia,Galaxy -Balsaquila,Balsa,Aquila -Rosewoodsar,Rosewood,Quasar -Ipecentauri,Ipe,Alpha Centauri -Kapokgalaxy,Kapok,Galaxy -Cedrellaneta,Cedrella,Planetary Nebula -Alercemeda,Alerce,Andromeda -Mahoganova,Mahogany,Supernova -Boomerangbrasil,Boomerang Nebula,Pau Brasil -Ceibulsar,Ceiba,Pulsar -Pau Brasilades,Pau Brasil,Pleiades -Araucagalaxy,Araucaria,Galaxy -Quebrachomeda,Quebracho,Andromeda -Lapachosar,Lapacho,Quasar -Guanacastellum,Guanacaste,Magellanic -Jacaranovae,Jacaranda,Supernova -Ceibaway,Ceiba,Milky Way -Enceladnut,Enceladus,Brazil Nut -Monkeynebula,Monkey Puzzle,Nebula -Quebrachogalaxy,Quebracho,Galaxy -Lapachonova,Lapacho,Supernova -Rubberion,Rubber Tree,Orion -Cashewgalaxy,Cashew,Galaxy -Nutsagittarius,Brazil Nut,Sagittarius -Cecropia A*,Cecropia,Sagittarius A* -Balsanova,Balsa,Supernova -Rosewoodmeda,Rosewood,Andromeda -Ipesar,Ipe,Quasar -Kapokway,Kapok,Milky Way -Cedrellipse,Cedrella,Ellipse -Alercenebula,Alerce,Nebula -Mahogaring,Mahogany,Ring Nebula -Cat's Eye Brasil,Cat's Eye,Pau Brasil -Ceibomeda,Ceiba,Andromeda -Araucarionebula,Araucaria,Orion Nebula -Quebrachoides,Quebracho,Hyades -Lapachogalaxy,Lapacho,Galaxy -Guanacastar,Guanacaste,Quasar -Jacarandromeda,Jacaranda,Andromeda -Ceibaneta,Ceiba,Planetary Nebula -Ganymede Brasil,Ganymede,Pau Brasil -Monkeypuzzalaxy,Monkey Puzzle,Galaxy -Quebrachonova,Quebracho,Supernova -Lapachomeda,Lapacho,Andromeda -Rubbersar,Rubber Tree,Quasar -Cashewnebula,Cashew,Nebula -Nutgalaxy,Brazil Nut,Galaxy -Cecropiomeda,Cecropia,Andromeda -Balsagittarius,Balsa,Sagittarius -Rosewoodion,Rosewood,Orion -Ipeleiades,Ipe,Pleiades -Kapoknova,Kapok,Supernova -Cedrellaxy,Cedrella,Galaxy -Alercegalaxy,Alerce,Galaxy -Mahogacrab,Mahogany,Crab -Dumbbell Brasil,Dumbbell Nebula,Pau Brasil -Ceibulsar,Ceiba,Pulsar -Pau Brasilway,Pau Brasil,Milky Way -Araucarina,Araucaria,Carina -Quebrachogalaxy,Quebracho,Galaxy -Lapachosar,Lapacho,Quasar -Guanacastromeda,Guanacaste,Andromeda -Jacaranebula,Jacaranda,Nebula -Ceibanova,Ceiba,Supernova -Io Brasil,Io,Pau Brasil -Monkeypuzzar,Monkey Puzzle,Quasar -Quebrachomeda,Quebracho,Andromeda -Lapachogalaxy,Lapacho,Galaxy -Rubbernova,Rubber Tree,Supernova -Cashewmeda,Cashew,Andromeda -Nutnebula,Brazil Nut,Nebula -Cecropiagalaxy,Cecropia,Galaxy -Balsasar,Balsa,Quasar -Rosewoodway,Rosewood,Milky Way -Ipegalaxy,Ipe,Galaxy -Kapokmeda,Kapok,Andromeda -Cedrellaneta,Cedrella,Planetary Nebula -Alercenova,Alerce,Supernova -Mahogalagoon,Mahogany,Lagoon -Crescent Brasil,Crescent Nebula,Pau Brasil -Ceibagalaxy,Ceiba,Galaxy -Araucarionway,Araucaria,Milky Way -Quebrachion,Quebracho,Orion -Lapachohole,Lapacho,Black Hole -Guanacastar,Guanacaste,Quasar -Jacaranovo,Jacaranda,Supernova -Ceibomeda,Ceiba,Andromeda -Callisto Brasil,Callisto,Pau Brasil -Monkeynebula,Monkey Puzzle,Nebula -Quebrachogalaxy,Quebracho,Galaxy -Lapachonova,Lapacho,Supernova -Rubbermeda,Rubber Tree,Andromeda -Cashewgalaxy,Cashew,Galaxy -Nutway,Brazil Nut,Milky Way -Cecropiomeda,Cecropia,Andromeda -Balsanebula,Balsa,Nebula -Rosewoodsar,Rosewood,Quasar -Ipecentauri,Ipe,Centauri -Kapokgalaxy,Kapok,Galaxy -Cedrellaxy,Cedrella,Galaxy -Alercemeda,Alerce,Andromeda -Mahoganova,Mahogany,Supernova -Flame Brasil,Flame Nebula,Pau Brasil -Ceibulsar,Ceiba,Pulsar -Pau Brasilion,Pau Brasil,Orion -Araucagalaxy,Araucaria,Galaxy -Quebrachomeda,Quebracho,Andromeda -Lapachosar,Lapacho,Quasar -Guanacastway,Guanacaste,Milky Way -Jacarandromeda,Jacaranda,Andromeda -Ceibanova,Ceiba,Supernova -Veil Brasil,Veil Nebula,Pau Brasil -Monkeypuzzalaxy,Monkey Puzzle,Galaxy -Quebrachonova,Quebracho,Supernova -Lapachogalaxy,Lapacho,Galaxy -Rubberion,Rubber Tree,Orion -Cashewnova,Cashew,Supernova -Nutgalaxy,Brazil Nut,Galaxy -Cecropiagalaxy,Cecropia,Galaxy -Balsomeda,Balsa,Andromeda -Rosewoodway,Rosewood,Milky Way -Ipesar,Ipe,Quasar -Kapoknebula,Kapok,Nebula -Cedrellaneta,Cedrella,Planetary Nebula -Alercenebula,Alerce,Nebula -Mahogaring,Mahogany,Ring -Pelican Brasil,Pelican Nebula,Pau Brasil -Ceibagalaxy,Ceiba,Galaxy -Araucarionebula,Araucaria,Orion Nebula -Quebrachoides,Quebracho,Hyades -Lapachomeda,Lapacho,Andromeda -Guanacastar,Guanacaste,Quasar -Jacaranovo,Jacaranda,Supernova -Ceibulsar,Ceiba,Pulsar -Cone Brasil,Cone Nebula,Pau Brasil -Monkeypuzzar,Monkey Puzzle,Quasar -Quebrachogalaxy,Quebracho,Galaxy -Lapachosar,Lapacho,Quasar -Rubbernova,Rubber Tree,Supernova -Cashewmeda,Cashew,Andromeda -Nutway,Brazil Nut,Milky Way -Cecropiomeda,Cecropia,Andromeda -Balsagalaxy,Balsa,Galaxy -Rosewoodion,Rosewood,Orion -Ipeleiades,Ipe,Pleiades -Kapokgalaxy,Kapok,Galaxy -Cedrellaxy,Cedrella,Galaxy -Alercegalaxy,Alerce,Galaxy -Mahoganova,Mahogany,Supernova -Witch Head Brasil,Witch Head,Pau Brasil -Ceiboway,Ceiba,Milky Way -Pau Brasilmeda,Pau Brasil,Andromeda -Araucarina,Araucaria,Carina -Quebrachonebula,Quebracho,Nebula -Lapachogalaxy,Lapacho,Galaxy -Guanacastromeda,Guanacaste,Andromeda -Jacaranebula,Jacaranda,Nebula -Ceibanova,Ceiba,Supernova -Iris Brasil,Iris Nebula,Pau Brasil -Monkeynova,Monkey Puzzle,Supernova -Quebrachomeda,Quebracho,Andromeda -Lapachosar,Lapacho,Quasar -Rubbermeda,Rubber Tree,Andromeda -Cashewgalaxy,Cashew,Galaxy -Nutnebula,Brazil Nut,Nebula -Cecropiagalaxy,Cecropia,Galaxy -Balsanovo,Balsa,Supernova -Rosewoodway,Rosewood,Milky Way -Ipegalaxy,Ipe,Galaxy -Kapokmeda,Kapok,Andromeda -Cedrellaneta,Cedrella,Planetary Nebula -Alercenova,Alerce,Supernova -Mahogagalaxy,Mahogany,Galaxy -Bubble Brasil,Bubble Nebula,Pau Brasil -Ceibomeda,Ceiba,Andromeda -Araucarionway,Araucaria,Milky Way -Quebrachion,Quebracho,Orion -Lapachohole,Lapacho,Black Hole -Guanacastar,Guanacaste,Quasar -Jacaranovo,Jacaranda,Supernova -Ceibagalaxy,Ceiba,Galaxy -North America Brasil,North America,Pau Brasil -Monkeypuzzar,Monkey Puzzle,Quasar -Quebrachogalaxy,Quebracho,Galaxy -Lapachonova,Lapacho,Supernova -Rubbersar,Rubber Tree,Quasar -Cashewnebula,Cashew,Nebula -Nutgalaxy,Brazil Nut,Galaxy -Cecropiomeda,Cecropia,Andromeda -Balsoway,Balsa,Milky Way -Rosewoodsar,Rosewood,Quasar -Ipecentauri,Ipe,Centauri -Kapokgalaxy,Kapok,Galaxy -Cedrellaxy,Cedrella,Galaxy -Alercemeda,Alerce,Andromeda -Mahoganova,Mahogany,Supernova -Pacman Brasil,Pacman Nebula,Pau Brasil -Ceibulsar,Ceiba,Pulsar -Pau Brasilades,Pau Brasil,Pleiades -Araucagalaxy,Araucaria,Galaxy -Quebrachomeda,Quebracho,Andromeda -Lapachosar,Lapacho,Quasar -Guanacastway,Guanacaste,Milky Way -Jacarandromeda,Jacaranda,Andromeda -Ceibanova,Ceiba,Supernova -Soul Brasil,Soul Nebula,Pau Brasil -Monkeynebula,Monkey Puzzle,Nebula -Quebrachonova,Quebracho,Supernova -Lapachogalaxy,Lapacho,Galaxy -Rubberion,Rubber Tree,Orion -Cashewnova,Cashew,Supernova -Nutway,Brazil Nut,Milky Way -Cecropiagalaxy,Cecropia,Galaxy -Balsameda,Balsa,Andromeda -Rosewoodway,Rosewood,Milky Way -Ipesar,Ipe,Quasar -Kapoknebula,Kapok,Nebula -Cedrellaneta,Cedrella,Planetary Nebula -Alercenebula,Alerce,Nebula -Mahogaring,Mahogany,Ring -Heart Brasil,Heart Nebula,Pau Brasil -Ceibagalaxy,Ceiba,Galaxy -Araucarionebula,Araucaria,Orion Nebula -Quebrachoides,Quebracho,Hyades -Lapachomeda,Lapacho,Andromeda -Guanacastar,Guanacaste,Quasar -Jacaranovo,Jacaranda,Supernova -Ceiboway,Ceiba,Milky Way -Elephant Trunk Brasil,Elephant Trunk,Pau Brasil -Monkeypuzzalaxy,Monkey Puzzle,Galaxy -Quebrachogalaxy,Quebracho,Galaxy -Lapachosar,Lapacho,Quasar -Rubbernova,Rubber Tree,Supernova -Cashewmeda,Cashew,Andromeda -Nutgalaxy,Brazil Nut,Galaxy -Cecropiomeda,Cecropia,Andromeda -Balsagalaxy,Balsa,Galaxy -Rosewoodion,Rosewood,Orion -Ipeleiades,Ipe,Pleiades -Kapokgalaxy,Kapok,Galaxy -Cedrellaxy,Cedrella,Galaxy -Alercegalaxy,Alerce,Galaxy -Mahoganova,Mahogany,Supernova -Omega Brasil,Omega Nebula,Pau Brasil -Ceibulsar,Ceiba,Pulsar -Pau Brasilion,Pau Brasil,Orion -Araucarina,Araucaria,Carina -Quebrachonebula,Quebracho,Nebula -Lapachogalaxy,Lapacho,Galaxy -Guanacastromeda,Guanacaste,Andromeda -Jacaranebula,Jacaranda,Nebula -Ceibanova,Ceiba,Supernova -Blinking Brasil,Blinking Nebula,Pau Brasil -Monkeypuzzar,Monkey Puzzle,Quasar -Quebrachomeda,Quebracho,Andromeda -Lapachosar,Lapacho,Quasar -Rubbermeda,Rubber Tree,Andromeda -Cashewgalaxy,Cashew,Galaxy -Nutnebula,Brazil Nut,Nebula -Cecropiagalaxy,Cecropia,Galaxy -Balsanovo,Balsa,Supernova -Rosewoodway,Rosewood,Milky Way -Ipegalaxy,Ipe,Galaxy -Kapokmeda,Kapok,Andromeda -Cedrellaneta,Cedrella,Planetary Nebula -Alercenova,Alerce,Supernova -Mahogagalaxy,Mahogany,Galaxy -Ghost Brasil,Ghost Nebula,Pau Brasil -Ceibomeda,Ceiba,Andromeda -Araucarionway,Araucaria,Milky Way -Quebrachion,Quebracho,Orion -Lapachohole,Lapacho,Black Hole -Guanacastar,Guanacaste,Quasar -Jacaranovo,Jacaranda,Supernova -Ceibagalaxy,Ceiba,Galaxy -Eskimo Brasil,Eskimo Nebula,Pau Brasil -Monkeynebula,Monkey Puzzle,Nebula -Quebrachogalaxy,Quebracho,Galaxy -Lapachonova,Lapacho,Supernova -Rubbersar,Rubber Tree,Quasar -Cashewnebula,Cashew,Nebula -Nutgalaxy,Brazil Nut,Galaxy -Cecropioway,Cecropia,Milky Way \ No newline at end of file diff --git a/package-lock.json b/package-lock.json deleted file mode 100644 index 157f9ef..0000000 --- a/package-lock.json +++ /dev/null @@ -1,78 +0,0 @@ -{ - "name": "memlnaut-nisps-tests", - "version": "1.0.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "memlnaut-nisps-tests", - "version": "1.0.0", - "devDependencies": { - "@playwright/test": "^1.59.1" - } - }, - "node_modules/@playwright/test": { - "version": "1.59.1", - 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"test:ui": "playwright test --ui", - "test:headed": "playwright test --headed" - }, - "devDependencies": { - "@playwright/test": "^1.59.1" - } -} diff --git a/playground/dist/assets/PrimitivesShowcase-B55FOguW.css b/playground/dist/assets/PrimitivesShowcase-B55FOguW.css deleted file mode 100644 index 097442d..0000000 --- a/playground/dist/assets/PrimitivesShowcase-B55FOguW.css +++ /dev/null @@ -1 +0,0 @@ -._root_1attb_1{max-width:1200px;margin:0 auto;display:flex;flex-direction:column;gap:var(--sp-5)}._header_1attb_9{display:flex;flex-direction:column;gap:var(--sp-2)}._header_1attb_9 h1{margin:0;font-size:var(--fs-xl);color:var(--accent)}._lede_1attb_21{color:var(--fg-mute);margin:0;max-width:720px}._grid_1attb_27{display:grid;grid-template-columns:repeat(auto-fill,minmax(360px,1fr));gap:var(--sp-4)}._card_1attb_33{background:var(--bg-1);border:1px solid 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");const ie=()=>{const[a,i]=d(.5),[r,e]=d(20),[l,t]=d(0);return(()=>{var n=re();return o(n,u(S,{get value(){return a()},onChange:i,min:0,max:1,step:.01,label:"linear"}),null),o(n,u(S,{get value(){return r()},onChange:e,min:1,max:1e3,curve:"exp",label:"exp (1..1000)",unit:"hz"}),null),o(n,u(S,{get value(){return l()},onChange:t,min:-50,max:50,step:1,label:"bipolar (-50..50)"}),null),n})()},oe="_bank_3njyn_1",se="_title_3njyn_11",ce="_section_3njyn_17",ue="_sectionHeader_3njyn_23",de="_caret_3njyn_38",me="_sectionName_3njyn_43",pe="_sectionCount_3njyn_47",ve="_list_3njyn_51",$={bank:oe,title:se,section:ce,sectionHeader:ue,caret:de,sectionName:me,sectionCount:pe,list:ve};var he=p("

"),N=p("
"),ge=p("\n \n \n
\n {({ cfg, index }) => (\n props.onChange(cfg.id, v, index)}\n min={cfg.min}\n max={cfg.max}\n step={cfg.step}\n curve={cfg.curve}\n curveParam={cfg.curveParam}\n label={cfg.label}\n unit={cfg.unit}\n />\n )}\n
\n \n \n )}\n
\n );\n};\n","import { Component, createSignal } from 'solid-js';\nimport { SliderBank, type SliderConfig } from './SliderBank';\n\nconst CFG: SliderConfig[] = [\n { id: 'cutoff', label: 'Cutoff', min: 20, max: 20000, curve: 'exp', section: 'Filter', unit: 'Hz' },\n { id: 'res', label: 'Resonance', min: 0, max: 1, step: 0.01, section: 'Filter' },\n { id: 'attack', label: 'Attack', min: 0, max: 5, step: 0.01, section: 'Envelope', unit: 's' },\n { id: 'decay', label: 'Decay', min: 0, max: 5, step: 0.01, section: 'Envelope', unit: 's' },\n { id: 'sustain', label: 'Sustain', min: 0, max: 1, step: 0.01, section: 'Envelope' },\n { id: 'release', label: 'Release', min: 0, max: 5, step: 0.01, section: 'Envelope', unit: 's' },\n];\n\nexport const SliderBankDemo: Component = () => {\n const [values, setValues] = createSignal([8000, 0.3, 0.05, 0.4, 0.7, 1.0]);\n return (\n setValues((prev) => prev.map((x, j) => (j === i ? v : x)))}\n title=\"Synth\"\n collapsedSections={[]}\n />\n );\n};\n","import { Component, createSignal } from 'solid-js';\nimport { VirtualJoystick } from './VirtualJoystick';\n\nexport const VirtualJoystickDemo: Component = () => {\n const [pos, setPos] = createSignal([0.5, 0.5]);\n return (\n
\n setPos([x, y])}\n />\n \n x={pos()[0].toFixed(3)} y={pos()[1].toFixed(3)}\n \n
\n );\n};\n","import { Component, createSignal } from 'solid-js';\nimport { XYPad } from './XYPad';\n\nexport const XYPadDemo: Component = () => {\n const [pos, setPos] = createSignal([0.5, 0.5]);\n return (\n
\n setPos([x, y])} />\n \n x={pos()[0].toFixed(3)} y={pos()[1].toFixed(3)}\n \n
\n );\n};\n","import { Component, createMemo, createSignal, onCleanup, onMount } from 'solid-js';\nimport { Heatmap, type HeatmapColorMode } from './Heatmap';\nimport { PillToggle } from './PillToggle';\n\nconst N = 16;\n\nfunction generateField(seed: number): Float32Array {\n const arr = new Float32Array(N * N);\n for (let y = 0; y < N; y++) {\n for (let x = 0; x < N; x++) {\n const fx = (x - N / 2) / (N / 2);\n const fy = (y - N / 2) / (N / 2);\n const r = Math.sqrt(fx * fx + fy * fy);\n const v = 0.5 + 0.5 * Math.sin(r * 3 + seed * 0.5) * Math.cos(fx * 4 + seed);\n arr[y * N + x] = Math.max(0, Math.min(1, v));\n }\n }\n return arr;\n}\n\nexport const HeatmapDemo: Component = () => {\n const [mode, setMode] = createSignal('luminance');\n const [tick, setTick] = createSignal(0);\n let timer: ReturnType;\n onMount(() => {\n timer = setInterval(() => setTick((t) => t + 1), 200);\n });\n onCleanup(() => clearInterval(timer));\n\n const samples = createMemo(() => generateField(tick()));\n\n return (\n
\n \n setMode(v as HeatmapColorMode)}\n />\n
\n );\n};\n","import { Component, createMemo, createSignal, onCleanup, onMount } from 'solid-js';\nimport { OutputDisplay } from './OutputDisplay';\n\nexport const OutputDisplayDemo: Component = () => {\n const [tick, setTick] = createSignal(0);\n let raf = 0;\n let last = performance.now();\n const animate = (t: number) => {\n if (t - last > 80) {\n setTick((x) => x + 1);\n last = t;\n }\n raf = requestAnimationFrame(animate);\n };\n onMount(() => { raf = requestAnimationFrame(animate); });\n onCleanup(() => cancelAnimationFrame(raf));\n\n const values = createMemo(() => {\n const t = tick();\n const arr = new Float32Array(126);\n for (let i = 0; i < arr.length; i++) {\n arr[i] = 0.5 + 0.5 * Math.sin(t * 0.05 + i * 0.21);\n }\n return arr;\n });\n\n return (\n
\n \n \n
\n );\n};\n","import { Component, createSignal } from 'solid-js';\nimport { TrainingControls } from './TrainingControls';\n\nexport const TrainingControlsDemo: Component = () => {\n const [count, setCount] = createSignal(3);\n const [loss, setLoss] = createSignal(0.0123);\n const [busy, setBusy] = createSignal(false);\n const [stack, setStack] = createSignal([]);\n\n const train = () => {\n setBusy(true);\n setTimeout(() => {\n setLoss(Math.random() * 0.05);\n setBusy(false);\n }, 250);\n };\n\n return (\n setLoss(0.5)}\n onThumbsUp={() => { setStack((s) => [...s, count()]); setCount((c) => c + 1); train(); }}\n onThumbsDown={() => { setStack((s) => [...s, count()]); setLoss((l) => (l ?? 0) * 1.4); }}\n onUndo={() => { const prev = [...stack()]; const v = prev.pop(); if (v !== undefined) setCount(v); setStack(prev); }}\n exampleCount={count}\n lastLoss={loss}\n busy={busy}\n canUndo={() => stack().length > 0}\n />\n );\n};\n","import { Component, createSignal } from 'solid-js';\nimport { Drawer } from './Drawer';\n\nexport const DrawerDemo: Component = () => {\n const [openR, setOpenR] = createSignal(false);\n const [openL, setOpenL] = createSignal(false);\n return (\n
\n \n \n setOpenL(false)} side=\"left\" title=\"Left drawer\">\n

Slides in from the left.

\n

Press Escape, click outside, or click × to close.

\n \n setOpenR(false)} side=\"right\" title=\"Right drawer\">\n

Slides in from the right.

\n

Mode-specific drawers will use this primitive.

\n \n
\n );\n};\n","import { Component, createSignal } from 'solid-js';\nimport { ControlAxis } from './ControlAxis';\n\nexport const ControlAxisDemo: Component = () => {\n const [boldness, setBoldness] = createSignal(0.5);\n const [memory, setMemory] = createSignal(0.7);\n const [precision, setPrecision] = createSignal(0.3);\n const [preset, setPreset] = createSignal('default');\n\n const onAny = () => setPreset(null);\n\n return (\n
\n { setBoldness(v); onAny(); }}\n preset={preset}\n endpoints={['Caution', 'Bold']}\n accentColor=\"var(--accent)\"\n onDoubleTap={() => setBoldness(0.5)}\n />\n { setMemory(v); onAny(); }}\n preset={preset}\n endpoints={['Amnesia', 'Elephant']}\n accentColor=\"var(--accent-2)\"\n onDoubleTap={() => setMemory(0.5)}\n />\n { setPrecision(v); onAny(); }}\n preset={preset}\n endpoints={['Raw', 'Precise']}\n accentColor=\"var(--good)\"\n onDoubleTap={() => setPrecision(0.3)}\n />\n
\n );\n};\n","import { Component, createSignal, onCleanup, onMount } from 'solid-js';\nimport { ProgressRing } from './ProgressRing';\n\nexport const ProgressRingDemo: Component = () => {\n const [p, setP] = createSignal(0);\n let timer: ReturnType;\n onMount(() => {\n timer = setInterval(() => {\n setP((q) => (q + 0.02) % 1);\n }, 50);\n });\n onCleanup(() => clearInterval(timer));\n return (\n
\n \n \n \n
\n );\n};\n","import { Component, createSignal } from 'solid-js';\nimport { PillToggle } from './PillToggle';\n\nexport const PillToggleDemo: Component = () => {\n const [mode, setMode] = createSignal('synth');\n const [size, setSize] = createSignal('m');\n return (\n
\n \n \n
\n );\n};\n","import { Component, createSignal } from 'solid-js';\nimport { ParamEditor, type ParamDef, type ParamOverride } from './ParamEditor';\n\nconst PARAM: ParamDef = {\n name: 'osc1_freq',\n label: 'Osc 1 Freq',\n hardMin: 20,\n hardMax: 8000,\n default: 440,\n curve: 'exp',\n group: 'oscillators',\n};\n\nexport const ParamEditorDemo: Component = () => {\n const [override, setOverride] = createSignal({\n min: 100,\n max: 2000,\n curve: 'exp',\n muted: false,\n pinned: false,\n fixedValue: 440,\n });\n return ;\n};\n","import { Component, createSignal, onCleanup, onMount } from 'solid-js';\nimport { JoyMap, type TrailPoint, type RegionPin } from './JoyMap';\nimport { Slider } from './Slider';\n\nexport const JoyMapDemo: Component = () => {\n const [zoom, setZoom] = createSignal(0.5);\n const [pos, setPos] = createSignal([0.5, 0.5]);\n const [trail, setTrail] = createSignal([]);\n const [pins] = createSignal([\n { id: 'p1', x: 0.6, y: 0.5, width: 0.18, height: 0.18, colorSlot: 0 },\n { id: 'p2', x: 0.18, y: 0.18, width: 0.12, height: 0.12, colorSlot: 1 },\n ]);\n const [frozen, setFrozen] = createSignal(false);\n\n // Simulated wandering position\n let raf = 0;\n let t0 = performance.now();\n const animate = () => {\n const t = (performance.now() - t0) / 1000;\n const x = 0.5 + 0.4 * Math.sin(t * 0.4);\n const y = 0.5 + 0.4 * Math.cos(t * 0.65);\n setPos([x, y]);\n setTrail((prev) => {\n const next = [...prev, { x, y, t: performance.now() }];\n // Cap trail length to avoid runaway growth\n return next.slice(-200);\n });\n raf = requestAnimationFrame(animate);\n };\n onMount(() => { raf = requestAnimationFrame(animate); });\n onCleanup(() => cancelAnimationFrame(raf));\n\n return (\n
\n [0.18, 0.06]}\n onTrailTap={(p) => setPos([p.x, p.y])}\n frozen={frozen}\n />\n \n \n
\n );\n};\n","import { Component, createMemo, createSignal } from 'solid-js';\nimport { WeightHealth, type WeightStatus } from './WeightHealth';\nimport { PillToggle } from './PillToggle';\n\nexport const WeightHealthDemo: Component = () => {\n const [status, setStatus] = createSignal('healthy');\n\n const histogram = createMemo(() => {\n const bins = new Array(10).fill(0);\n const s = status();\n if (s === 'dead') {\n bins[0] = 80; bins[1] = 12; bins[2] = 4; bins[3] = 2;\n } else if (s === 'saturating') {\n bins[7] = 12; bins[8] = 24; bins[9] = 60;\n } else {\n // healthy bell-ish\n for (let i = 0; i < 10; i++) {\n bins[i] = 30 * Math.exp(-Math.pow((i - 4.5) / 2.5, 2));\n }\n }\n return bins;\n });\n\n return (\n
\n \n setStatus(v as WeightStatus)}\n />\n
\n );\n};\n","import { Component, createMemo, createSignal } from 'solid-js';\nimport { GradientFlow, type GradientStatus } from './GradientFlow';\nimport { PillToggle } from './PillToggle';\n\nexport const GradientFlowDemo: Component = () => {\n const [pattern, setPattern] = createSignal<'healthy' | 'vanishing' | 'exploding'>('healthy');\n\n const norms = createMemo(() => {\n const p = pattern();\n if (p === 'vanishing') return [1.0, 0.4, 0.15, 0.04];\n if (p === 'exploding') return [0.4, 0.8, 1.6, 3.2];\n return [0.6, 0.55, 0.5, 0.5];\n });\n\n const status = createMemo(() => {\n const p = pattern();\n if (p === 'vanishing') return ['healthy', 'vanishing', 'vanishing', 'vanishing'];\n if (p === 'exploding') return ['healthy', 'healthy', 'exploding', 'exploding'];\n return ['healthy', 'healthy', 'healthy', 'healthy'];\n });\n\n return (\n
\n \n setPattern(v as 'healthy' | 'vanishing' | 'exploding')}\n />\n
\n );\n};\n","import { Component, createSignal, onCleanup, onMount } from 'solid-js';\nimport { LossPlot } from './LossPlot';\n\nexport const LossPlotDemo: Component = () => {\n const [history, setHistory] = createSignal([]);\n\n let timer: ReturnType;\n let i = 0;\n onMount(() => {\n timer = setInterval(() => {\n i += 1;\n const v = 0.5 * Math.exp(-i * 0.04) + 0.005 + 0.02 * Math.random();\n setHistory((h) => {\n const next = [...h, v];\n return next.slice(-200);\n });\n }, 80);\n });\n onCleanup(() => clearInterval(timer));\n\n return (\n
\n \n \n
\n );\n};\n","/**\n * Primitives showcase — Storybook-equivalent at /dev/primitives.\n *\n * Each section wraps one primitive's demo. Demos use realistic interactive\n * state so a quick visual scan answers \"does this thing actually work?\".\n */\n\nimport { Component, For, JSX } from 'solid-js';\nimport styles from './PrimitivesShowcase.module.css';\n\nimport { SliderDemo } from '../primitives/Slider.demo';\nimport { SliderBankDemo } from '../primitives/SliderBank.demo';\nimport { VirtualJoystickDemo } from '../primitives/VirtualJoystick.demo';\nimport { XYPadDemo } from '../primitives/XYPad.demo';\nimport { HeatmapDemo } from '../primitives/Heatmap.demo';\nimport { OutputDisplayDemo } from '../primitives/OutputDisplay.demo';\nimport { TrainingControlsDemo } from '../primitives/TrainingControls.demo';\nimport { DrawerDemo } from '../primitives/Drawer.demo';\nimport { ControlAxisDemo } from '../primitives/ControlAxis.demo';\nimport { ProgressRingDemo } from '../primitives/ProgressRing.demo';\nimport { PillToggleDemo } from '../primitives/PillToggle.demo';\nimport { ParamEditorDemo } from '../primitives/ParamEditor.demo';\nimport { JoyMapDemo } from '../primitives/JoyMap.demo';\nimport { WeightHealthDemo } from '../primitives/WeightHealth.demo';\nimport { GradientFlowDemo } from '../primitives/GradientFlow.demo';\nimport { LossPlotDemo } from '../primitives/LossPlot.demo';\n\ninterface Section {\n name: string;\n description: string;\n Demo: Component;\n}\n\nconst SECTIONS: ReadonlyArray
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\n
\n

Primitive Library

\n

\n Each card is a live demo. Use this page as a sanity-check during the rewrite.\n Modes (stream 9) and feature parity (stream 10) compose these primitives.\n

\n
\n
\n {(section) => (\n
\n
\n

{section.name}

\n

{section.description}

\n
\n
\n {section.Demo({}) as unknown as JSX.Element}\n
\n
\n )}\n
\n
\n );\n};\n\nexport default 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Gt(){Vt(Ya,()=>({boldness:it.boldness,memory:it.memory,precision:it.precision,offsets:it.offsets,presetId:it.presetId}))}const Me={state:it,setAxis(e,t){const n=K(t,0,1);Ut(D(a=>{a[e]=n,a.presetId!==null&&(a.presetId=null)})),Gt()},setOffset(e,t,n){Ut(D(a=>{a.offsets[e][t]=n})),Gt()},clearOffsets(e){Ut(D(t=>{t.offsets[e]={}})),Gt()},applyPreset(e){const t=Fo.find(n=>n.id===e);return t?(Ut(D(n=>{n.boldness=t.boldness,n.memory=t.memory,n.precision=t.precision,n.presetId=t.id})),Gt(),!0):!1},resolveParams(){const e=En(Po,it.boldness),t=En(ko,it.memory),n=En(Lo,it.precision),a={...e,...t,...n},r=i=>{const o=it.offsets[i];for(const[s,l]of Object.entries(o)){const d=a[s];typeof d=="number"&&(a[s]=d+l)}};return r("boldness"),r("memory"),r("precision"),a},reset(){Ut({boldness:.5,memory:.5,precision:.3,offsets:{boldness:{},memory:{},precision:{}},presetId:"default"}),Gt()}},Pt=.01,Ot=1,un=Pt,Za=.4,vn=.2,gn=5,Ka=.95,Io=150,Gn=1/60,Ro={off:null,gentle:{factor:.6,minZoomMul:.3,maxZoomMul:1},strong:{factor:1.5,minZoomMul:.15,maxZoomMul:1}};function Ja(){return{zoom:1,zoomX:null,zoomY:null,anchorX:.5,anchorY:.5,anchorMode:"center",deadzone:0,inputCurve:1,inputCurveX:null,inputCurveY:null,smoothing:0,momentumZoom:"off",velocityWindow:Io,invertX:!1,invertY:!1}}function Kn(){return{smoothedX:.5,smoothedY:.5,velocityHistory:[],momentumZoomMultiplier:1,frozen:!1}}function ha(e,t){if(t<=0)return e;const n=e-.5,a=Math.abs(n),r=t*.5;if(a<=r)return .5;const i=n<0?-1:1,o=(a-r)/(.5-r)*.5;return .5+i*o}function va(e,t,n){return K(t+(e-.5)*n,0,1)}function ga(e,t,n,a){if(n<=0)return t;const r=a>0?a:Gn,i=1-n,o=1-Math.pow(1-i,r/Gn);return e+o*(t-e)}function Oo(e,t,n,a,r){const i=Ro[e.momentumZoom];if(!i)return{multiplier:1,history:[]};const o=performance.now(),s=e.velocityWindow,d=[...t.velocityHistory.filter(y=>o-y.t<=s),{x:n,y:a,t:o}];if(d.length<2)return{multiplier:1,history:d};const c=d[0],u=d[d.length-1],m=u.t-c.t;if(m<=0)return{multiplier:t.momentumZoomMultiplier,history:d};const v=u.x-c.x,g=u.y-c.y,w=Math.sqrt(v*v+g*g)/(m/1e3),x=K(w*i.factor,0,1),_=i.maxZoomMul-(i.maxZoomMul-i.minZoomMul)*x,M=K(r*6,0,1);return{multiplier:t.momentumZoomMultiplier+M*(_-t.momentumZoomMultiplier),history:d}}function To(e,t){return e.anchorMode==="center"?.5:(e.anchorMode==="sticky",e.anchorX)}function zo(e,t){return e.anchorMode==="center"?.5:(e.anchorMode==="sticky",e.anchorY)}function Do(e,t,n,a=Gn){const r=Math.max(0,a),i=t.zoomX??t.zoom,o=t.zoomY??t.zoom,s=i<=un,l=o<=un;if(s&&l)return{x:n.smoothedX,y:n.smoothedY,frozen:!0,state:{...n,frozen:!0}};let[c,u]=e,m=t.invertX?1-c:c,v=t.invertY?1-u:u;m=ha(m,t.deadzone),v=ha(v,t.deadzone);{const N=m-.5,Y=v-.5,F=Math.sqrt(N*N+Y*Y);if(F>.5&&F>1e-12){const $=.5/F;m=.5+N*$,v=.5+Y*$}}const g=To(t),f=zo(t),w=s?un:K(i*n.momentumZoomMultiplier,Pt,Ot),x=l?un:K(o*n.momentumZoomMultiplier,Pt,Ot);m=s?n.smoothedX:va(m,g,w),v=l?n.smoothedY:va(v,f,x);const _=t.inputCurveX??t.inputCurve,M=t.inputCurveY??t.inputCurve;s||(m=Un(m,_)),l||(v=Un(v,M));const O=s?n.smoothedX:ga(n.smoothedX,m,t.smoothing,r),y=l?n.smoothedY:ga(n.smoothedY,v,t.smoothing,r),{multiplier:q,history:W}=Oo(t,n,c,u,r);return{x:O,y,frozen:!1,state:{smoothedX:O,smoothedY:y,velocityHistory:W,momentumZoomMultiplier:q,frozen:!1}}}const Qa="nisps:input";function qo(){const e=Ja(),t=jt(Qa,{});return{...e,...t}}const[er,Ue]=gt(qo()),[xt,In]=gt(Kn());function Ge(){Vt(Qa,()=>({...er}))}const H={config:er,liveState:xt,setZoom(e){const t=K(e,Pt,Ot);Ue(D(n=>{const a=n.zoom;n.zoom=t,n.anchorMode==="auto"&&a!==t&&(n.anchorX=xt.smoothedX,n.anchorY=xt.smoothedY)})),Ge()},setZoomPerAxis(e,t){Ue(D(n=>{n.zoomX=e!==null?K(e,Pt,Ot):null,n.zoomY=t!==null?K(t,Pt,Ot):null,n.anchorMode==="auto"&&(n.anchorX=xt.smoothedX,n.anchorY=xt.smoothedY)})),Ge()},setAnchor(e,t){Ue(D(n=>{n.anchorX=K(e,0,1),n.anchorY=K(t,0,1)})),Ge()},setAnchorMode(e){Ue(D(t=>{t.anchorMode=e,e==="center"?(t.anchorX=.5,t.anchorY=.5):e==="auto"&&(t.anchorX=xt.smoothedX,t.anchorY=xt.smoothedY)})),Ge()},setDeadzone(e){Ue(D(t=>{t.deadzone=K(e,0,Za)})),Ge()},setInputCurve(e){Ue(D(t=>{t.inputCurve=K(e,vn,gn)})),Ge()},setInputCurvePerAxis(e,t){Ue(D(n=>{n.inputCurveX=e!==null?K(e,vn,gn):null,n.inputCurveY=t!==null?K(t,vn,gn):null})),Ge()},setSmoothing(e){Ue(D(t=>{t.smoothing=K(e,0,Ka)})),Ge()},setMomentumZoom(e){Ue(D(t=>{t.momentumZoom=e})),e==="off"&&In(D(t=>{t.velocityHistory=[],t.momentumZoomMultiplier=1})),Ge()},setInvert(e,t){Ue(D(n=>{n.invertX=e,n.invertY=t})),Ge()},setVelocityWindow(e){Ue(D(t=>{t.velocityWindow=K(e,50,500)})),Ge()},__setLiveState(e){In(e)},reset(){Ue(Ja()),In(Kn()),Ge()}},tr="nisps:session",No=20;function nr(){const e=jt(tr,{});return{snapshots:[],ab:{a:null,b:null,live:"B"},regionPins:e.regionPins??[],paramPins:e.paramPins??[],presets:e.presets??[]}}const[Ye,Ee]=gt(nr());function wt(){Vt(tr,()=>({regionPins:Ye.regionPins,paramPins:Ye.paramPins,presets:Ye.presets}))}let Xn=0;function Bo(){return Xn+=1,`snap-${Date.now().toString(36)}-${Xn}`}const Z={state:Ye,pushSnapshot(e,t={}){const n={id:Bo(),tag:e,timestamp:Date.now(),noiseLevel:t.noiseLevel??0,zoomLevel:t.zoomLevel??null,weights:t.weights?new Float32Array(t.weights):null};return Ee(D(a=>{a.snapshots.push(n),a.snapshots.length>No&&a.snapshots.shift()})),Fe.emit("snap.push",{tag:e}),n},peekSnapshot(){return Ye.snapshots.length>0?Ye.snapshots[Ye.snapshots.length-1]:null},listSnapshots(){return Ye.snapshots},popSnapshot(){let e=null;Ee(D(n=>{e=n.snapshots.pop()??null}));const t=e?.tag??null;return Fe.emit("snap.pop",{tag:t}),e},jumpToSnapshot(e){const t=Ye.snapshots.find(n=>n.id===e)??null;return t?(Ee(D(n=>{const a=n.snapshots.findIndex(r=>r.id===e);a>=0&&(n.snapshots=n.snapshots.slice(0,a+1))})),Fe.emit("snap.pop",{tag:t.tag}),t):null},clearSnapshots(){Ee(D(e=>{e.snapshots=[]})),Fe.emit("snap.cleared",void 0)},captureA(e){Ee(D(t=>{t.ab.a=e,t.ab.live="B"}))},captureB(e){Ee(D(t=>{t.ab.b=e}))},toggleAB(){let e="B";return Ee(D(t=>{e=t.ab.live==="A"?"B":"A",t.ab.live=e})),e},acceptB(){Ee(D(e=>{e.ab.a=null,e.ab.live="B"}))},revertToA(){Ee(D(e=>{e.ab.b=null,e.ab.live="A"}))},resetAB(){Ee(D(e=>{e.ab={a:null,b:null,live:"B"}}))},addRegionPin(e){const t=`pin-${Date.now().toString(36)}-${Math.floor(Math.random()*1e6)}`,n=e.colorSlot??Ye.regionPins.length%5,a={...e,colorSlot:n,id:t,createdAt:Date.now()};return Ee(D(r=>{r.regionPins.length>=5&&r.regionPins.shift(),r.regionPins.push(a)})),wt(),Fe.emit("pin.create",{kind:"region",id:t}),a},removeRegionPin(e){Ee(D(t=>{const n=t.regionPins.findIndex(a=>a.id===e);n>=0&&t.regionPins.splice(n,1)})),wt(),Fe.emit("pin.remove",{kind:"region",id:e})},clearRegionPins(){Ee(D(e=>{e.regionPins=[]})),wt()},toggleParamPin(e,t){let n=!1;return Ee(D(a=>{const r=a.paramPins.findIndex(i=>i.key===e);r>=0?(a.paramPins.splice(r,1),n=!1):(a.paramPins.push({key:e,outputIndex:t}),n=!0)})),wt(),n?Fe.emit("pin.create",{kind:"param",id:e}):Fe.emit("pin.remove",{kind:"param",id:e}),n},isParamPinned(e){return Ye.paramPins.some(t=>t.key===e)},clearParamPins(){Ee(D(e=>{e.paramPins=[]})),wt()},paramPinMask(e,t){const n=new Uint8Array(e);for(const a of Ye.paramPins)t&&!a.key.startsWith(t+":")||a.outputIndex>=0&&a.outputIndex{a.presets.push(n)})),wt(),n},removePreset(e){Ee(D(t=>{const n=t.presets.findIndex(a=>a.id===e);n>=0&&t.presets.splice(n,1)})),wt()},reset(){Ee(nr()),Xn=0}},ar="nisps:exploration";function rr(){return{noiseLevel:.05,noiseFloor:.005,noiseCap:.12,noiseGrowth:1.5,noiseDecay:.97,spread:.6,learningRate:1,weightDecay:.06,autoExploreEnabled:!1,autoExploreIntervalMs:2e3,autoExploreIntensity:.5,pressureForce:0,holdMs:0}}function Vo(){const e=rr(),t=jt(ar,{});return{...e,noiseFloor:t.noiseFloor??e.noiseFloor,noiseCap:t.noiseCap??e.noiseCap,noiseGrowth:t.noiseGrowth??e.noiseGrowth,noiseDecay:t.noiseDecay??e.noiseDecay,spread:t.spread??e.spread,learningRate:t.learningRate??e.learningRate,weightDecay:t.weightDecay??e.weightDecay,autoExploreEnabled:t.autoExploreEnabled??e.autoExploreEnabled,autoExploreIntervalMs:t.autoExploreIntervalMs??e.autoExploreIntervalMs,autoExploreIntensity:t.autoExploreIntensity??e.autoExploreIntensity}}const[He,Te]=gt(Vo());function Xe(){Vt(ar,()=>({noiseFloor:He.noiseFloor,noiseCap:He.noiseCap,noiseGrowth:He.noiseGrowth,noiseDecay:He.noiseDecay,spread:He.spread,learningRate:He.learningRate,weightDecay:He.weightDecay,autoExploreEnabled:He.autoExploreEnabled,autoExploreIntervalMs:He.autoExploreIntervalMs,autoExploreIntensity:He.autoExploreIntensity}))}const I={state:He,applyCompoundParams(e){Te(D(t=>{const n=l=>{const d=e[l];return typeof d=="number"?d:void 0},a=n("noiseCap");a!==void 0&&(t.noiseCap=K(a,.005,1));const r=n("noiseGrowth");r!==void 0&&(t.noiseGrowth=K(r,1,4));const i=n("noiseDecay");i!==void 0&&(t.noiseDecay=K(i,0,1));const o=n("learningRate");o!==void 0&&(t.learningRate=K(o,.01,10));const s=n("weightDecay");s!==void 0&&(t.weightDecay=K(s,0,.5)),t.noiseLevel>t.noiseCap&&(t.noiseLevel=t.noiseCap),t.noiseLevel{t.noiseLevel=K(e,t.noiseFloor,t.noiseCap)}))},setSpread(e){Te(D(t=>{t.spread=K(e,0,1)})),Xe()},setNoiseFloor(e){Te(D(t=>{t.noiseFloor=K(e,0,t.noiseCap),t.noiseLevel{t.noiseCap=K(e,t.noiseFloor,1),t.noiseLevel>t.noiseCap&&(t.noiseLevel=t.noiseCap)})),Xe()},setNoiseGrowth(e){Te(D(t=>{t.noiseGrowth=K(e,1,4)})),Xe()},setNoiseDecay(e){Te(D(t=>{t.noiseDecay=K(e,0,1)})),Xe()},setLearningRate(e){Te(D(t=>{t.learningRate=K(e,.001,10)})),Xe()},setWeightDecay(e){Te(D(t=>{t.weightDecay=K(e,0,.5)})),Xe()},growNoise(e=.5){let t=He.noiseLevel;return Te(D(n=>{const a=K(e,0,1),r=1+(n.noiseGrowth-1)*(.5+a);t=K(n.noiseLevel*r,n.noiseFloor,n.noiseCap),n.noiseLevel=t})),t},decayNoise(e=.5){let t=He.noiseLevel;return Te(D(n=>{const a=K(e,0,1),r=n.noiseDecay-(1-n.noiseDecay)*(a-.5)*.4;t=K(n.noiseLevel*K(r,0,1),n.noiseFloor,n.noiseCap),n.noiseLevel=t})),t},setAutoExplore(e){Te(D(t=>{t.autoExploreEnabled=e})),Xe()},setAutoExploreInterval(e){Te(D(t=>{t.autoExploreIntervalMs=K(e,500,1e4)})),Xe()},setAutoExploreIntensity(e){Te(D(t=>{t.autoExploreIntensity=K(e,.1,1)})),Xe()},setPressure(e,t){Te(D(n=>{n.pressureForce=K(e,0,1),n.holdMs=Math.max(0,t)}))},reset(){Te(rr()),Xe()}},jo="_wrap_lq3ei_1",Ho="_label_lq3ei_10",Wo="_row_lq3ei_17",Uo="_input_lq3ei_23",Go="_value_lq3ei_80",Xo="_unit_lq3ei_88",Yo="_disabled_lq3ei_93",St={wrap:jo,label:Ho,row:Wo,input:Uo,value:Go,unit:Xo,disabled:Yo};var ba=E(""),Zo=E("
\n );\n};\n\nexport default C15Mode;\n","/**\n * Mode registry — maps mode_id (and the special \"c15\" placeholder) to the\n * TSX component that renders it. The ModeSwitcher reads from this list to\n * populate its dropdown, and `App.tsx` looks up the active mode here.\n *\n * Order matters — the switcher renders modes in this order.\n */\n\nimport type { Component } from 'solid-js';\nimport { PAFSynthMode } from './PAFSynthMode';\nimport { ChannelStripMode } from './ChannelStripMode';\nimport { XIASRIMode } from './XIASRIMode';\nimport { VerbFXMode } from './VerbFXMode';\nimport { MEMLCeliumMode } from './MEMLCeliumMode';\nimport { BreakOrMode } from './BreakOrMode';\nimport { ElysiamorfMode } from './ElysiamorfMode';\nimport { SoundAnalysisMIDIMode } from './SoundAnalysisMIDIMode';\nimport { C15Mode } from './C15Mode';\n\nexport interface ModeRegistration {\n /** Stable id; matches the schema's `mode_id` for firmware modes. */\n id: string;\n /** Human-readable label for the switcher. */\n label: string;\n /** Short description for the switcher tooltip. */\n description: string;\n /** TSX component rendering the mode. */\n Component: Component;\n /** True for browser-only placeholders (currently just C15). */\n placeholder?: boolean;\n}\n\nexport const MODE_REGISTRY: ReadonlyArray = [\n {\n id: 'paf_synth',\n label: 'PAF Synth',\n description: 'Phase-aligned formant synth (XY pad).',\n Component: PAFSynthMode,\n },\n {\n id: 'channel_strip',\n label: 'Channel Strip',\n description: 'EQ + dynamics processing channel.',\n Component: ChannelStripMode,\n },\n {\n id: 'xiasri',\n label: 'XIASRI',\n description: 'Audio-reactive verb / pitch engine.',\n Component: XIASRIMode,\n },\n {\n id: 'verb_fx',\n label: 'Verb FX',\n description: 'Reverb / multi-effects unit.',\n Component: VerbFXMode,\n },\n {\n id: 'memlcelium',\n label: 'MEML Celium',\n description: 'Voice + dual-MLP CV/gate via uSEQ.',\n Component: MEMLCeliumMode,\n },\n {\n id: 'breakor',\n label: 'Breakor',\n description: 'Drum / breakbeat synthesis.',\n Component: BreakOrMode,\n },\n {\n id: 'elysiamorf',\n label: 'Elysiamorf',\n description: 'Granular morphing synth.',\n Component: ElysiamorfMode,\n },\n {\n id: 'sound_analysis_midi',\n label: 'Sound Analysis → MIDI',\n description: 'Audio features → MIDI CC routing.',\n Component: SoundAnalysisMIDIMode,\n },\n {\n id: 'c15',\n label: 'C15 (browser-only)',\n description: 'C15 WASM synth. Not yet ported.',\n Component: C15Mode,\n placeholder: true,\n },\n];\n\n/** Look up a mode by id, falling back to the first registration. */\nexport function getModeById(id: string | null): ModeRegistration {\n if (!id) return MODE_REGISTRY[0]!;\n return MODE_REGISTRY.find((m) => m.id === id) ?? MODE_REGISTRY[0]!;\n}\n\nexport { ModeShell } from './ModeShell';\nexport { useModeRuntime } from './mode-runtime';\nexport type { ModeRuntime } from './mode-runtime';\n","/**\n * ModeSwitcher — top-level select that picks the active mode.\n *\n * Writes through `modeStore.switchMode(id)` so persistence + the bus event\n * fire correctly. Reads the current selection back from the store so it\n * stays in sync with persisted state on first paint.\n *\n * Audio engine switching is handled inside the mode runtime (each mode\n * routes its own engine_id through `EngineHost.setEngine` when started).\n */\n\nimport { Component, createMemo, For, Show } from 'solid-js';\nimport { modeStore } from '../stores/mode-store';\nimport { MODE_REGISTRY, getModeById } from './index';\nimport styles from './ModeSwitcher.module.css';\n\nexport const ModeSwitcher: Component = () => {\n const activeId = () => modeStore.state.activeModeId ?? MODE_REGISTRY[0]!.id;\n const active = createMemo(() => getModeById(activeId()));\n\n return (\n
\n Mode\n modeStore.switchMode(e.currentTarget.value)}\n aria-label=\"Select active mode\"\n >\n \n {(m) => (\n \n )}\n \n \n \n {active().description}\n \n \n \n ⚠\n \n \n
\n );\n};\n\nexport default ModeSwitcher;\n","import { Component, createMemo, createSignal, lazy, onCleanup, Show } from 'solid-js';\nimport { Dynamic } from 'solid-js/web';\nimport { modeStore } from './stores/mode-store';\nimport { MODE_REGISTRY, getModeById } from './modes';\nimport { ModeSwitcher } from './modes/ModeSwitcher';\nimport styles from './App.module.css';\n\ntype Route = 'home' | 'primitives' | 'modes' | 'unknown';\n\nfunction parseRoute(path: string): Route {\n if (path === '' || path === '/' || path === '/index.html') return 'home';\n if (path === '/dev/primitives' || path === '/dev/primitives/') return 'primitives';\n if (path === '/modes' || path === '/modes/' || path.startsWith('/modes/')) return 'modes';\n return 'unknown';\n}\n\n// Lazy-loaded so the home route doesn't pay the cost of loading every\n// primitive demo. Stream 9/10 can grow the showcase freely.\nconst PrimitivesShowcase = lazy(() => import('./dev/PrimitivesShowcase'));\n\nconst App: Component = () => {\n const [route, setRoute] = createSignal(parseRoute(window.location.pathname));\n\n const onPop = () => setRoute(parseRoute(window.location.pathname));\n window.addEventListener('popstate', onPop);\n onCleanup(() => window.removeEventListener('popstate', onPop));\n\n const navigate = (path: string) => {\n if (window.location.pathname === path) return;\n window.history.pushState({}, '', path);\n setRoute(parseRoute(path));\n };\n\n return (\n
\n
\n MEMLNaut\n playground\n \n
\n
\n \n \n \n \n \n \n \n \n \n \n
\n

404

\n

No route at {window.location.pathname}.

\n

\n { e.preventDefault(); navigate('/'); }}>back to home\n

\n
\n \n
\n
\n );\n};\n\nconst ModesPage: Component = () => {\n const activeId = () => modeStore.state.activeModeId ?? MODE_REGISTRY[0]!.id;\n const ActiveComponent = createMemo(() => getModeById(activeId()).Component);\n\n return (\n
\n \n \n
\n );\n};\n\ninterface HomeProps {\n navigate: (path: string) => void;\n}\n\nconst Home: Component = (props) => {\n return (\n
\n

MEMLNaut Playground

\n

\n Interactive ML control of audio. Stream 9: nine modes, one shell.\n

\n
    \n
  • \n {\n e.preventDefault();\n props.navigate('/modes');\n }}\n >\n Modes\n {' '}\n — pick a mode and start playing\n
    • \n
  • \n {\n e.preventDefault();\n props.navigate('/dev/primitives');\n }}\n >\n Primitives showcase\n {' '}\n — UI building blocks\n
    • \n
\n

\n ML inference runs on the main thread via WASM. Audio synthesis runs\n in an AudioWorklet — start it from inside any mode using the \"Start\n audio\" button. Audio cannot autoplay (browser policy).\n

\n
\n );\n};\n\nexport default App;\n","/**\n * Debug probe: window.__nisps\n *\n * Synchronous-or-immediate Promise API for Playwright tests and dev console\n * use. Bypasses SolidJS reactivity by reading/writing the underlying stores\n * and WASM directly — values propagate to the UI on the next reactive tick,\n * but the probe always returns the freshest state.\n *\n * Stream 10 expanded the surface to cover stream 8/9 features:\n * - Snapshot stack (push, pop, list)\n * - A/B compare (capture, toggle, accept, revert)\n * - Region pinning (add, remove, clear)\n * - Auto-explore (toggle, interval, intensity)\n * - Heatmap (refresh, color mode, getCells)\n * - Weight health (histogram, status, layer stats)\n * - Session presets (save, load, list, share URL)\n * - Override application (read, write, clear)\n *\n * Test contract: every method either returns a value, returns null/empty,\n * or returns an immediately-resolved Promise. None of them throw — bad\n * input is silently ignored.\n */\n\nimport { batch, untrack } from 'solid-js';\nimport { mlStore } from '../stores/ml-store';\nimport { modeStore } from '../stores/mode-store';\nimport { sessionStore } from '../stores/session-store';\nimport { explorationStore } from '../stores/exploration-store';\nimport { controlStore } from '../stores/control-store';\nimport { inputStore } from '../stores/input-store';\nimport { outputStore } from '../stores/output-store';\nimport { coreBus } from '../stores/bus';\nimport {\n autoSnapshot,\n undoLastSnapshot,\n captureA as snapCaptureA,\n toggleAB as snapToggleAB,\n acceptB as snapAcceptB,\n revertToA as snapRevertToA,\n} from '../features/snapshots';\nimport { HeatmapSampler } from '../features/heatmap-sampler';\nimport {\n weightHistogram,\n weightStatus as healthStatus,\n layerNorms,\n gradientStatuses,\n layerWeightCounts,\n} from '../features/weight-health';\nimport {\n captureSessionPreset,\n restoreSessionPreset,\n saveNamedPreset,\n loadNamedPreset,\n buildShareUrl,\n applyUrlParams,\n type SessionPresetPayload,\n} from '../features/session-preset';\nimport type { HeatmapColorMode } from '../features/heatmap-sampler';\n\nexport interface DebugProbe {\n /** Current 126-element output vector (Float32Array). */\n getOutputs(): Float32Array;\n /** Current per-param post-override values (length = active mode params). */\n getParamOutputs(): Float32Array;\n /** Last training loss, or null if no training has occurred. */\n getLoss(): number | null;\n /** Loss history of last training run. */\n getLossHistory(): ReadonlyArray;\n /** Flat weight array. */\n getWeights(): Float32Array;\n /** Number of training examples currently in the dataset. */\n getExampleCount(): number;\n /** Set joystick X/Y in [0,1] and run inference. */\n setInputs(x: number, y: number): void;\n /** Trigger thumbs-up RL feedback. */\n thumbsUp(): void;\n /** Trigger thumbs-down RL feedback. */\n thumbsDown(): void;\n /** Synchronous training; returns final loss. */\n train(): number;\n /** Async training; returns Promise. */\n trainAsync(): Promise;\n /** Randomize weights with default spread. */\n randomise(): void;\n /** Clear all training examples. */\n clearExamples(): void;\n /** Force a save to localStorage now (no debounce). */\n saveState(): void;\n /** Non-destructive loss query against current dataset. */\n evalLoss(): number | null;\n /** Batch inference: input is Nx2 array of [x,y] pairs. */\n inferBatch(points: ReadonlyArray): Float32Array;\n /** Per-layer weight statistics: layerCount * 4 floats (mean|w|, max|w|, dead%, sat%). */\n getLayerStats(): Float32Array;\n\n // Snapshot / undo / A/B\n pushSnapshot(tag: string): void;\n popSnapshot(): boolean;\n listSnapshots(): ReadonlyArray<{ id: string; tag: string; timestamp: number; noiseLevel: number }>;\n clearSnapshots(): void;\n captureA(): void;\n toggleAB(): 'A' | 'B';\n acceptB(): void;\n revertToA(): void;\n\n // Pins\n addRegionPin(pin: { x: number; y: number; width: number; height: number }): string;\n removeRegionPin(id: string): void;\n toggleParamPin(modeId: string, paramName: string, outputIndex: number): boolean;\n isParamPinned(modeId: string, paramName: string): boolean;\n\n // Auto-explore\n setAutoExplore(enabled: boolean): void;\n setAutoExploreInterval(ms: number): void;\n setAutoExploreIntensity(v: number): void;\n\n // Pressure\n setPressure(force: number, holdMs?: number): void;\n\n // Heatmap\n refreshHeatmap(force?: boolean): boolean;\n getHeatmapCells(): Float32Array;\n setHeatmapColorMode(mode: HeatmapColorMode): void;\n\n // Weight health\n getWeightHistogram(): number[];\n getWeightStatus(): 'dead' | 'saturating' | 'healthy';\n getGradientFlow(beforeWeights: Float32Array, afterWeights: Float32Array): { norms: number[]; status: ReturnType };\n\n // Overrides\n setOverride(modeId: string, paramName: string, override: Partial<{ min: number; max: number; curve: string; muted: boolean; pinned: boolean; frozen: boolean; fixedValue: number }>): void;\n clearOverride(modeId: string, paramName: string): void;\n clearAllOverrides(modeId: string): void;\n getOverride(modeId: string, paramName: string): unknown;\n\n // Compound axes\n setAxis(axis: 'boldness' | 'memory' | 'precision', value: number): void;\n applyControlPreset(id: string): boolean;\n\n // Pipelines\n setZoom(zoom: number): void;\n setSpread(spread: number): void;\n setOutputFreeze(frozen: boolean): void;\n\n // Session presets\n captureSessionPreset(withWeights?: boolean): SessionPresetPayload;\n restoreSessionPreset(payload: SessionPresetPayload): boolean;\n saveSessionPreset(name: string, withWeights?: boolean): void;\n loadSessionPreset(id: string): boolean;\n buildShareUrl(): string;\n applyUrlParams(search?: string): boolean;\n\n // Bus\n emit(topic: string, data: unknown): void;\n on(topic: string, handler: (data: unknown) => void): () => void;\n\n /** True once the WASM is fully initialised. */\n readonly __ready: boolean;\n /** Force initialisation. Returns a promise that resolves when the WASM is ready. */\n __init(): Promise;\n}\n\ndeclare global {\n interface Window {\n __nisps?: DebugProbe;\n }\n}\n\nconst EMPTY_F32 = new Float32Array(0);\n\nlet lazyInitPromise: Promise | null = null;\nfunction lazyInit(): Promise {\n if (mlStore.iml) return Promise.resolve();\n if (!lazyInitPromise) {\n lazyInitPromise = mlStore.initialize().then(() => undefined);\n }\n return lazyInitPromise;\n}\n\n// Probe-local heatmap sampler (independent of any active mode runtime).\nconst probeHeatmap = new HeatmapSampler({ resolution: 16 });\n\nconst probe: DebugProbe = {\n get __ready(): boolean {\n return !!mlStore.iml && mlStore.state.ready;\n },\n\n __init(): Promise {\n return lazyInit();\n },\n\n getOutputs(): Float32Array {\n return mlStore.outputs();\n },\n\n getParamOutputs(): Float32Array {\n // The probe doesn't have a runtime reference; recompute from raw outputs.\n const raw = mlStore.outputs();\n if (raw.length === 0) return EMPTY_F32;\n // Just return the raw outputs — actual override application requires\n // schema knowledge that the probe doesn't track. Tests can read\n // overrides via `getOverride` instead.\n return raw;\n },\n\n getLoss(): number | null {\n return mlStore.state.lastLoss;\n },\n\n getLossHistory(): ReadonlyArray {\n return mlStore.state.lossHistory;\n },\n\n getWeights(): Float32Array {\n return mlStore.getWeights();\n },\n\n getExampleCount(): number {\n return mlStore.state.exampleCount;\n },\n\n setInputs(x: number, y: number): void {\n if (!mlStore.iml) {\n void lazyInit();\n return;\n }\n untrack(() => mlStore.iml!.inferXY(x, y));\n },\n\n thumbsUp(): void {\n if (!mlStore.iml) return;\n untrack(() => {\n autoSnapshot('before thumbs-up (probe)');\n mlStore.iml!.train(explorationStore.state.learningRate);\n explorationStore.decayNoise(0.5);\n });\n },\n\n thumbsDown(): void {\n if (!mlStore.iml) return;\n untrack(() => {\n autoSnapshot('before thumbs-down (probe)');\n const cap = explorationStore.state.noiseCap;\n const spread = explorationStore.state.spread;\n mlStore.iml!.moveWeights(cap, spread);\n explorationStore.growNoise(0.5);\n });\n },\n\n train(): number {\n if (!mlStore.iml) {\n void lazyInit();\n return 0;\n }\n return untrack(() => {\n autoSnapshot('before train (probe)');\n return mlStore.iml!.train(explorationStore.state.learningRate);\n });\n },\n\n async trainAsync(): Promise {\n await lazyInit();\n if (!mlStore.iml) return 0;\n autoSnapshot('before trainAsync (probe)');\n return mlStore.iml.trainAsync(explorationStore.state.learningRate);\n },\n\n randomise(): void {\n if (!mlStore.iml) return;\n untrack(() => {\n autoSnapshot('before randomize (probe)');\n mlStore.iml!.randomiseWeights(explorationStore.state.spread);\n });\n },\n\n clearExamples(): void {\n mlStore.clearExamples();\n },\n\n saveState(): void {\n mlStore.saveNow();\n },\n\n evalLoss(): number | null {\n if (!mlStore.iml) return null;\n return mlStore.iml.evalLoss();\n },\n\n inferBatch(points: ReadonlyArray): Float32Array {\n if (!mlStore.iml) return new Float32Array(points.length * mlStore.state.outputSize);\n return mlStore.iml.inferBatch(points);\n },\n\n getLayerStats(): Float32Array {\n if (!mlStore.iml) return EMPTY_F32;\n return mlStore.iml.getLayerStatsFlat();\n },\n\n // ----- Snapshot / undo / A/B ---------------------------------------------\n\n pushSnapshot(tag: string): void {\n autoSnapshot(tag);\n },\n\n popSnapshot(): boolean {\n return undoLastSnapshot();\n },\n\n listSnapshots() {\n return sessionStore.listSnapshots().map((s) => ({\n id: s.id,\n tag: s.tag,\n timestamp: s.timestamp,\n noiseLevel: s.noiseLevel,\n }));\n },\n\n clearSnapshots(): void {\n sessionStore.clearSnapshots();\n },\n\n captureA(): void {\n snapCaptureA();\n },\n\n toggleAB(): 'A' | 'B' {\n return snapToggleAB();\n },\n\n acceptB(): void {\n snapAcceptB();\n },\n\n revertToA(): void {\n snapRevertToA();\n },\n\n // ----- Pins ---------------------------------------------------------------\n\n addRegionPin(pin) {\n const created = sessionStore.addRegionPin(pin);\n return created.id;\n },\n\n removeRegionPin(id: string): void {\n sessionStore.removeRegionPin(id);\n },\n\n toggleParamPin(modeId: string, paramName: string, outputIndex: number): boolean {\n return sessionStore.toggleParamPin(`${modeId}:${paramName}`, outputIndex);\n },\n\n isParamPinned(modeId: string, paramName: string): boolean {\n return sessionStore.isParamPinned(`${modeId}:${paramName}`);\n },\n\n // ----- Auto-explore -------------------------------------------------------\n\n setAutoExplore(enabled: boolean): void {\n explorationStore.setAutoExplore(enabled);\n },\n\n setAutoExploreInterval(ms: number): void {\n explorationStore.setAutoExploreInterval(ms);\n },\n\n setAutoExploreIntensity(v: number): void {\n explorationStore.setAutoExploreIntensity(v);\n },\n\n setPressure(force: number, holdMs: number = 0): void {\n explorationStore.setPressure(force, holdMs);\n },\n\n // ----- Heatmap ------------------------------------------------------------\n\n refreshHeatmap(force = false): boolean {\n if (!mlStore.iml) return false;\n const cfg = inputStore.config;\n const z = cfg.zoom;\n const cx = cfg.anchorMode === 'center' ? 0.5 : cfg.anchorX;\n const cy = cfg.anchorMode === 'center' ? 0.5 : cfg.anchorY;\n return probeHeatmap.update({ cx, cy, zoom: z }, force);\n },\n\n getHeatmapCells(): Float32Array {\n return probeHeatmap.getCells();\n },\n\n setHeatmapColorMode(mode: HeatmapColorMode): void {\n probeHeatmap.setColorMode(mode);\n },\n\n // ----- Weight health ------------------------------------------------------\n\n getWeightHistogram(): number[] {\n return weightHistogram(mlStore.weights());\n },\n\n getWeightStatus() {\n return healthStatus(mlStore.weights());\n },\n\n getGradientFlow(beforeWeights: Float32Array, afterWeights: Float32Array) {\n if (!mlStore.iml) return { norms: [], status: [] };\n const arch = mlStore.iml.architecture;\n const sizes = layerWeightCounts({\n inputSize: arch.inputSize,\n hidden: arch.hidden,\n outputSize: arch.outputSize,\n });\n const norms = layerNorms(beforeWeights, afterWeights, sizes);\n return { norms, status: gradientStatuses(norms) };\n },\n\n // ----- Overrides ----------------------------------------------------------\n\n setOverride(modeId: string, paramName: string, patch): void {\n const existing = modeStore.getOverride(modeId, paramName);\n const next = {\n min: existing?.min ?? 0,\n max: existing?.max ?? 1,\n curve: existing?.curve ?? 'linear',\n curveParam: existing?.curveParam,\n muted: existing?.muted ?? false,\n pinned: existing?.pinned ?? false,\n frozen: existing?.frozen ?? false,\n fixedValue: existing?.fixedValue ?? 0.5,\n ...patch,\n } as Parameters[2];\n modeStore.setOverride(modeId, paramName, next);\n },\n\n clearOverride(modeId: string, paramName: string): void {\n modeStore.clearOverride(modeId, paramName);\n },\n\n clearAllOverrides(modeId: string): void {\n modeStore.clearAllOverrides(modeId);\n },\n\n getOverride(modeId: string, paramName: string) {\n return modeStore.getOverride(modeId, paramName);\n },\n\n // ----- Compound axes ------------------------------------------------------\n\n setAxis(axis: 'boldness' | 'memory' | 'precision', value: number): void {\n controlStore.setAxis(axis, value);\n },\n\n applyControlPreset(id: string): boolean {\n return controlStore.applyPreset(id);\n },\n\n // ----- Pipelines ----------------------------------------------------------\n\n setZoom(zoom: number): void {\n inputStore.setZoom(zoom);\n },\n\n setSpread(spread: number): void {\n explorationStore.setSpread(spread);\n },\n\n setOutputFreeze(frozen: boolean): void {\n outputStore.setFreezeOutput(frozen);\n },\n\n // ----- Session presets ----------------------------------------------------\n\n captureSessionPreset(withWeights = false): SessionPresetPayload {\n return captureSessionPreset(withWeights);\n },\n\n restoreSessionPreset(payload: SessionPresetPayload): boolean {\n return batch(() => restoreSessionPreset(payload));\n },\n\n saveSessionPreset(name: string, withWeights = false): void {\n saveNamedPreset(name, withWeights);\n },\n\n loadSessionPreset(id: string): boolean {\n return batch(() => loadNamedPreset(id));\n },\n\n buildShareUrl(): string {\n return buildShareUrl();\n },\n\n applyUrlParams(search?: string): boolean {\n return batch(() => applyUrlParams(search));\n },\n\n // ----- Bus ----------------------------------------------------------------\n\n emit(topic: string, data: unknown): void {\n // Lossy cast — the probe is intentionally weakly typed.\n coreBus.emit(topic as never, data as never);\n },\n\n on(topic: string, handler): () => void {\n return coreBus.onPrefix(topic, handler);\n },\n};\n\n/**\n * Install the probe on window. Idempotent — the probe object is a\n * singleton, so capturing `window.__nisps` once is safe across hot\n * reloads and re-installs.\n */\nexport function installDebugProbe(): void {\n if (typeof window === 'undefined') return;\n window.__nisps = probe;\n}\n","/* @refresh reload */\nimport { render } from 'solid-js/web';\nimport App from './App';\nimport './styles/tokens.css';\nimport { installDebugProbe } from './debug/probe';\nimport { applyUrlParams } from './features/session-preset';\n\nconst root = document.getElementById('root');\nif (!root) {\n throw new Error('Root element #root not found');\n}\n\n// Install debug probe early. Playwright tests use it to drive the ML\n// engine programmatically.\ninstallDebugProbe();\n\n// Apply URL params (?session=..., ?boldness=..., etc) before mounting so\n// stores read the resolved values on first render.\ntry {\n applyUrlParams();\n} catch (err) {\n console.warn('[main] applyUrlParams failed:', err);\n}\n\nrender(() => , root);\n"],"file":"assets/index-C1-a2ZPT.js"} \ No newline at end of file diff --git a/playground/dist/assets/index-D19lnkK_.css b/playground/dist/assets/index-D19lnkK_.css deleted file mode 100644 index 8502003..0000000 --- a/playground/dist/assets/index-D19lnkK_.css +++ /dev/null @@ -1 +0,0 @@ -._wrap_1uogo_1{display:flex;flex-direction:column;gap:var(--sp-2);background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2);padding:var(--sp-3);font-size:var(--fs-sm)}._row_1uogo_12{display:flex;gap:var(--sp-2)}._btn_1uogo_17{flex:1;height:48px;font-size:var(--fs-lg);border-radius:var(--r-1);font-weight:600}._thumbsUp_1uogo_25{background:#6bc26b29;border-color:#6bc26b66;color:var(--good)}._thumbsUp_1uogo_25:hover:not(:disabled){background:#6bc26b47}._thumbsDown_1uogo_34{background:#ef5b5b29;border-color:#ef5b5b66;color:var(--bad)}._thumbsDown_1uogo_34:hover:not(:disabled){background:#ef5b5b47}._undo_1uogo_43{background:var(--bg-2);color:var(--fg-mute)}._btnAlt_1uogo_48{flex:1;font-size:var(--fs-sm);text-transform:uppercase;letter-spacing:.06em}._status_1uogo_55{display:flex;gap:var(--sp-3);padding-top:var(--sp-2);border-top:1px solid var(--line);flex-wrap:wrap}._statusItem_1uogo_63{display:flex;flex-direction:column;gap:2px;font-size:var(--fs-xs)}._statusLabel_1uogo_70{color:var(--fg-dim);text-transform:uppercase;letter-spacing:.08em}._statusValue_1uogo_76{color:var(--fg);font-variant-numeric:tabular-nums}._busy_1uogo_81{color:var(--accent-2);align-self:center;font-style:italic}._axis_1gq0t_1{display:flex;flex-direction:column;gap:var(--sp-1);background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2);padding:var(--sp-2) var(--sp-3);--axis-accent: var(--accent)}._head_1gq0t_12{display:flex;align-items:center;gap:var(--sp-2);font-size:var(--fs-sm)}._label_1gq0t_19{font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--fg);flex:1}._preset_1gq0t_27{color:var(--axis-accent);font-size:var(--fs-xs);text-transform:uppercase;letter-spacing:.06em}._value_1gq0t_34{font-variant-numeric:tabular-nums;color:var(--fg-mute);font-size:var(--fs-xs);min-width:4ch;text-align:right}._input_1gq0t_42{appearance:none;-webkit-appearance:none;width:100%;height:24px;background:transparent;margin:0;cursor:pointer}._input_1gq0t_42::-webkit-slider-runnable-track{height:6px;border-radius:999px;background:var(--bg-3)}._input_1gq0t_42::-moz-range-track{height:6px;border-radius:999px;background:var(--bg-3)}._input_1gq0t_42::-webkit-slider-thumb{appearance:none;-webkit-appearance:none;width:18px;height:18px;border-radius:50%;background:var(--axis-accent);margin-top:-6px;box-shadow:0 0 10px var(--axis-accent);cursor:pointer}._input_1gq0t_42::-moz-range-thumb{width:18px;height:18px;border-radius:50%;background:var(--axis-accent);border:none;box-shadow:0 0 10px var(--axis-accent)}._input_1gq0t_42:focus{outline:none}._endpoints_1gq0t_87{display:flex;justify-content:space-between;font-size:10px;text-transform:uppercase;letter-spacing:.08em;color:var(--fg-dim)}._disabled_1gq0t_96{opacity:.5;pointer-events:none}._group_1erfx_1{display:inline-flex;background:var(--bg-2);border:1px solid var(--line);border-radius:var(--r-pill);padding:2px;gap:2px}._pill_1erfx_10{background:transparent;border:0;border-radius:var(--r-pill);padding:6px 14px;font-size:var(--fs-xs);text-transform:uppercase;letter-spacing:.08em;color:var(--fg-mute);transition:background var(--dur-fast) var(--ease),color var(--dur-fast) var(--ease)}._pill_1erfx_10:hover:not(:disabled):not(._active_1erfx_22){color:var(--fg)}._active_1erfx_22{background:var(--accent);color:var(--bg)}._disabled_1erfx_31{opacity:.5;pointer-events:none}._root_xdkqq_1{position:fixed;inset:0;z-index:var(--z-drawer);pointer-events:none}._scrim_xdkqq_8{position:absolute;inset:0;background:#00000073;pointer-events:auto;animation:_fadeIn_xdkqq_1 var(--dur-fast) var(--ease)}._panel_xdkqq_16{position:absolute;top:0;bottom:0;background:var(--bg-1);border-left:1px solid var(--line);pointer-events:auto;display:flex;flex-direction:column;box-shadow:0 0 24px #00000080;animation:_slideIn_xdkqq_1 var(--dur-med) var(--ease)}._left_xdkqq_29 ._panel_xdkqq_16{left:0;border-right:1px solid var(--line);border-left:0;animation-name:_slideInLeft_xdkqq_1}._right_xdkqq_36 ._panel_xdkqq_16{right:0}._header_xdkqq_40{display:flex;align-items:center;gap:var(--sp-3);padding:var(--sp-3) var(--sp-4);border-bottom:1px solid var(--line);flex:0 0 auto}._title_xdkqq_49{flex:1;font-size:var(--fs-md);text-transform:uppercase;letter-spacing:.06em;color:var(--fg-mute)}._close_xdkqq_57{background:transparent;border:0;font-size:22px;color:var(--fg-mute);width:32px;height:32px;border-radius:var(--r-1);padding:0}._close_xdkqq_57:hover{background:var(--bg-2);color:var(--fg)}._body_xdkqq_73{flex:1;overflow:auto;padding:var(--sp-3) var(--sp-4)}@keyframes _fadeIn_xdkqq_1{0%{opacity:0}to{opacity:1}}@keyframes _slideIn_xdkqq_1{0%{transform:translate(100%)}to{transform:translate(0)}}@keyframes _slideInLeft_xdkqq_1{0%{transform:translate(-100%)}to{transform:translate(0)}}._canvas_mlv8d_1{display:block;border:1px solid var(--line);border-radius:var(--r-2);background:var(--bg-1);touch-action:none;cursor:pointer}._wrap_lq3ei_1{display:flex;flex-direction:column;gap:var(--sp-1);font-size:var(--fs-sm);color:var(--fg);user-select:none}._label_lq3ei_10{color:var(--fg-mute);font-size:var(--fs-xs);text-transform:uppercase;letter-spacing:.06em}._row_lq3ei_17{display:flex;gap:var(--sp-3);align-items:center}._input_lq3ei_23{flex:1;appearance:none;-webkit-appearance:none;background:transparent;height:24px;margin:0;cursor:pointer}._input_lq3ei_23::-webkit-slider-runnable-track{height:4px;border-radius:999px;background:linear-gradient(to right,var(--accent) 0%,var(--accent) calc(var(--sp, 0) * 100%),var(--bg-3) 0%);background-color:var(--bg-3)}._input_lq3ei_23::-moz-range-track{height:4px;border-radius:999px;background:var(--bg-3)}._input_lq3ei_23::-webkit-slider-thumb{appearance:none;-webkit-appearance:none;width:16px;height:16px;border-radius:50%;background:var(--accent);margin-top:-6px;box-shadow:0 0 8px #ff6a0066;cursor:pointer;transition:transform var(--dur-fast) var(--ease)}._input_lq3ei_23::-moz-range-thumb{width:16px;height:16px;border-radius:50%;background:var(--accent);border:none;box-shadow:0 0 8px #ff6a0066}._input_lq3ei_23:hover::-webkit-slider-thumb{transform:scale(1.15)}._input_lq3ei_23:focus{outline:none}._input_lq3ei_23:focus::-webkit-slider-thumb{box-shadow:0 0 0 3px #ff6a004d}._value_lq3ei_80{font-variant-numeric:tabular-nums;font-size:var(--fs-xs);color:var(--fg-mute);min-width:4ch;text-align:right}._unit_lq3ei_88{color:var(--fg-dim);margin-left:2px}._disabled_lq3ei_93{opacity:.5;pointer-events:none}._editor_1yxvy_1{display:flex;flex-direction:column;gap:var(--sp-2);background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2);padding:var(--sp-3)}._compact_1yxvy_11{padding:var(--sp-2);gap:var(--sp-1)}._header_1yxvy_16{display:flex;align-items:baseline;gap:var(--sp-2)}._name_1yxvy_22{flex:1;font-size:var(--fs-sm);color:var(--fg)}._id_1yxvy_28{color:var(--fg-dim);font-size:var(--fs-xs)}._toggles_1yxvy_33{display:flex;gap:var(--sp-2)}._fields_1yxvy_38{display:flex;flex-direction:column;gap:var(--sp-2)}._curveRow_1yxvy_44{display:flex;align-items:center;gap:var(--sp-3);font-size:var(--fs-xs)}._fieldLabel_1yxvy_51{color:var(--fg-mute);text-transform:uppercase;letter-spacing:.06em;flex:0 0 auto}._select_1yxvy_58{flex:1;background:var(--bg-2);color:var(--fg);border:1px solid var(--line);border-radius:var(--r-1);padding:var(--sp-1) var(--sp-2);font-size:var(--fs-sm)}._wrap_389vj_1{display:flex;flex-direction:column;align-items:stretch;gap:var(--sp-2);background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2);padding:var(--sp-2)}._canvas_389vj_12{display:block;background:var(--bg-2);border-radius:var(--r-1)}._label_389vj_18{align-self:center;padding:4px 12px;font-size:var(--fs-xs);letter-spacing:.1em;border-radius:var(--r-pill);background:var(--bg-2);color:var(--fg);font-weight:600;transition:box-shadow var(--dur-med) var(--ease)}._pulsing_389vj_30{animation:_pulse_389vj_1 1.6s var(--ease) infinite}@keyframes _pulse_389vj_1{0%,to{opacity:1}50%{opacity:.65}}._canvas_rdbrc_1{display:block;border:1px solid var(--line);border-radius:var(--r-2);background:var(--bg-1);image-rendering:pixelated}._canvas_1ra7r_1{display:block;background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2)}._wrap_14adf_1{display:flex;flex-direction:column;gap:var(--sp-2)}._section_14adf_7{border-top:1px solid var(--line);padding-top:var(--sp-2)}._section_14adf_7:first-of-type{border-top:none;padding-top:0}._sectionHeader_14adf_17{display:flex;align-items:center;gap:var(--sp-2);width:100%;background:transparent;border:none;padding:var(--sp-2) 0;font-size:var(--fs-sm);text-transform:uppercase;letter-spacing:.08em;color:var(--fg-mute);cursor:pointer;text-align:left;font-family:var(--font-mono)}._sectionHeader_14adf_17:hover{color:var(--fg)}._caret_14adf_38{color:var(--fg-dim);font-size:var(--fs-xs);width:12px;display:inline-block}._badge_14adf_45{margin-left:auto;font-size:var(--fs-xs);background:var(--bg-3);color:var(--fg-mute);padding:1px 6px;border-radius:var(--r-1);font-family:var(--font-mono)}._body_14adf_55{display:flex;flex-direction:column;gap:var(--sp-3);padding:var(--sp-2) 0 var(--sp-3)}._row_14adf_62{display:flex;align-items:center;gap:var(--sp-2);flex-wrap:wrap}._fieldLabel_14adf_69{font-size:var(--fs-xs);color:var(--fg-mute);text-transform:uppercase;letter-spacing:.06em;min-width:90px}._checkbox_14adf_77{display:flex;align-items:center;gap:var(--sp-1);font-size:var(--fs-sm);color:var(--fg);cursor:pointer}._subhead_14adf_86{font-size:var(--fs-xs);text-transform:uppercase;letter-spacing:.08em;color:var(--fg-mute);margin:var(--sp-2) 0 var(--sp-1)}._muted_14adf_94{color:var(--fg-dim);font-size:var(--fs-xs);font-family:var(--font-mono)}._btnAlt_14adf_100{background:var(--bg-2);border:1px solid var(--line);border-radius:var(--r-1);padding:var(--sp-1) var(--sp-3);font-size:var(--fs-sm);color:var(--fg);cursor:pointer}._btnAlt_14adf_100:hover:not(:disabled){background:var(--bg-3)}._btnAlt_14adf_100:disabled{opacity:.5;cursor:not-allowed}._btnTiny_14adf_119{background:var(--bg-2);border:1px solid var(--line);border-radius:var(--r-1);padding:2px 8px;font-size:var(--fs-xs);color:var(--fg-mute);cursor:pointer}._btnTiny_14adf_119:hover{color:var(--fg);background:var(--bg-3)}._snapshotList_14adf_134,._presetList_14adf_135{list-style:none;margin:0;padding:0;display:flex;flex-direction:column;gap:2px;max-height:220px;overflow-y:auto}._snapshotBtn_14adf_146{display:flex;flex-direction:column;width:100%;background:var(--bg-2);border:1px solid var(--line);border-radius:var(--r-1);padding:var(--sp-1) var(--sp-2);text-align:left;cursor:pointer;color:var(--fg)}._snapshotBtn_14adf_146:hover{background:var(--bg-3)}._snapshotTag_14adf_163{font-size:var(--fs-sm);font-family:var(--font-mono)}._snapshotMeta_14adf_168{font-size:var(--fs-xs);color:var(--fg-mute);font-family:var(--font-mono)}._presetRow_14adf_174{display:flex;align-items:center;gap:var(--sp-2);padding:var(--sp-1);border-bottom:1px dashed var(--line)}._presetRow_14adf_174>span{flex:1;font-size:var(--fs-sm)}._paramList_14adf_187{display:flex;flex-direction:column;gap:var(--sp-2);max-height:360px;overflow-y:auto}._layerStats_14adf_195{display:flex;flex-direction:column;gap:var(--sp-1);font-family:var(--font-mono);font-size:var(--fs-xs)}._layerStatRow_14adf_203{display:flex;align-items:center;gap:var(--sp-2);padding:2px var(--sp-2);background:var(--bg-2);border-radius:var(--r-1)}._layerStatLabel_14adf_212{color:var(--accent);font-weight:600;min-width:24px}._layerStatValue_14adf_218{flex:1;color:var(--fg-mute)}._layerStatStatus_14adf_223{font-size:10px;text-transform:uppercase;padding:1px 6px;border-radius:var(--r-1);background:var(--bg-3)}._layerStatStatus_14adf_223[data-status=dead]{color:#999}._layerStatStatus_14adf_223[data-status=saturating]{color:var(--warn)}._layerStatStatus_14adf_223[data-status=healthy]{color:var(--good)}._textInput_14adf_235{background:var(--bg-2);border:1px solid var(--line);border-radius:var(--r-1);color:var(--fg);font-family:var(--font-mono);font-size:var(--fs-sm);padding:var(--sp-1) var(--sp-2);flex:1}._hr_14adf_246{border:none;border-top:1px dashed var(--line);margin:var(--sp-2) 0}._shell_jqlsx_1{display:grid;grid-template-rows:auto 1fr auto auto;gap:var(--sp-4);min-height:100%;padding:var(--sp-4);background:var(--bg);color:var(--fg)}._header_jqlsx_11{display:flex;align-items:center;gap:var(--sp-3);padding-bottom:var(--sp-3);border-bottom:1px solid var(--line)}._title_jqlsx_19{font-size:var(--fs-lg);font-weight:600;color:var(--accent);margin:0}._subtitle_jqlsx_26{font-size:var(--fs-sm);color:var(--fg-mute);margin:0}._audioToggle_jqlsx_32{margin-left:auto;display:flex;align-items:center;gap:var(--sp-2)}._audioBtn_jqlsx_39{background:var(--bg-2);border:1px solid var(--line);border-radius:var(--r-1);padding:var(--sp-2) var(--sp-3);font-size:var(--fs-sm);color:var(--fg);cursor:pointer}._audioBtn_jqlsx_39._on_jqlsx_49{border-color:var(--accent);color:var(--accent)}._audioBtn_jqlsx_39:hover{background:var(--bg-3)}._voiceSpaces_jqlsx_58{display:flex;align-items:center;gap:var(--sp-2)}._voiceSpacesLabel_jqlsx_64{font-size:var(--fs-xs);color:var(--fg-mute);text-transform:uppercase;letter-spacing:.08em}._body_jqlsx_71{display:grid;grid-template-columns:minmax(320px,1fr) minmax(280px,380px);gap:var(--sp-4);align-items:start}@media (max-width: 900px){._body_jqlsx_71{grid-template-columns:1fr}}._primaryArea_jqlsx_84{display:flex;flex-direction:column;align-items:center;gap:var(--sp-3);padding:var(--sp-4);background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2);min-height:280px}._outputArea_jqlsx_96{display:flex;flex-direction:column;gap:var(--sp-3);padding:var(--sp-3);background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2);min-height:200px}._controls_jqlsx_107{display:flex;gap:var(--sp-4);flex-wrap:wrap;align-items:stretch;padding:var(--sp-3);background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2)}._controlAxes_jqlsx_118{flex:1 1 auto;display:grid;grid-template-columns:repeat(auto-fit,minmax(180px,1fr));gap:var(--sp-3)}._trainingPanel_jqlsx_125{flex:0 0 auto}._drawerToggleBar_jqlsx_129{display:flex;gap:var(--sp-2);justify-content:flex-end}._drawerToggleBtn_jqlsx_135{background:var(--bg-2);border:1px solid var(--line);border-radius:var(--r-1);padding:var(--sp-2) var(--sp-3);cursor:pointer;font-size:var(--fs-sm);color:var(--fg-mute)}._drawerToggleBtn_jqlsx_135:hover{color:var(--fg);background:var(--bg-3)}._statusLine_jqlsx_150{font-size:var(--fs-xs);color:var(--fg-dim);font-family:var(--font-mono)}._frozen_jqlsx_156{color:var(--accent-2)}._notReady_jqlsx_160{color:var(--warn)}._pad_1w4bb_1{position:relative;background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2);touch-action:none;cursor:crosshair;outline:none;user-select:none;overflow:hidden}._pad_1w4bb_1:focus-visible{border-color:var(--accent);box-shadow:0 0 0 3px #ff6a004d}._dragging_1w4bb_18{cursor:crosshair}._disabled_1w4bb_22{opacity:.4;pointer-events:none}._grid_1w4bb_27{position:absolute;inset:0;pointer-events:none;opacity:.5}._gridH_1w4bb_34,._gridV_1w4bb_34{position:absolute;background:var(--line-strong)}._gridH_1w4bb_34{left:0;right:0;top:50%;height:1px}._gridV_1w4bb_34{top:0;bottom:0;left:50%;width:1px}._dot_1w4bb_53{position:absolute;width:14px;height:14px;border-radius:50%;background:var(--accent-2);box-shadow:0 0 10px #00ccff80;pointer-events:none;top:0;left:0}._canvas_136xq_1{display:block;background:var(--bg-1);border:1px solid var(--line);border-radius:var(--r-2)}._compact_136xq_8{border-radius:var(--r-1)}._container_wvoct_1{position:relative;background:var(--bg-1);border-radius:50%;border:1px solid var(--line);touch-action:none;cursor:grab;outline:none;user-select:none;overflow:hidden}._container_wvoct_1:focus-visible{border-color:var(--accent);box-shadow:0 0 0 3px #ff6a004d}._dragging_wvoct_18{cursor:grabbing}._disabled_wvoct_22{opacity:.4;pointer-events:none}._boundary_wvoct_27{position:absolute;inset:6%;border-radius:50%;border:1px dashed var(--line-strong);pointer-events:none}._crosshair_wvoct_35{position:absolute;inset:0;pointer-events:none;opacity:.4}._hLine_wvoct_42,._vLine_wvoct_42{position:absolute;background:var(--line-strong)}._hLine_wvoct_42{left:0;right:0;top:50%;height:1px}._vLine_wvoct_42{top:0;bottom:0;left:50%;width:1px}._knob_wvoct_61{position:absolute;width:24px;height:24px;border-radius:50%;background:var(--accent);box-shadow:0 0 12px #ff6a0080;pointer-events:none;top:0;left:0}._bar_m3f4r_1{display:flex;align-items:center;gap:var(--sp-3);padding:var(--sp-2) var(--sp-4);background:var(--bg-1);border-bottom:1px solid var(--line)}._label_m3f4r_10{font-size:var(--fs-xs);color:var(--fg-mute);text-transform:uppercase;letter-spacing:.08em}._select_m3f4r_17{background:var(--bg-2);color:var(--fg);border:1px solid var(--line);border-radius:var(--r-1);padding:var(--sp-1) var(--sp-3);font-family:var(--font-mono);font-size:var(--fs-sm);cursor:pointer}._select_m3f4r_17:hover{border-color:var(--line-strong)}._select_m3f4r_17:focus{outline:1px solid var(--accent)}._description_m3f4r_36{font-size:var(--fs-xs);color:var(--fg-dim)}._placeholder_m3f4r_41{color:var(--warn)}._app_vixlr_1{display:flex;flex-direction:column;min-height:100%}._header_vixlr_7{display:flex;align-items:center;gap:var(--sp-3);padding:var(--sp-3) var(--sp-4);border-bottom:1px solid var(--line);background:var(--bg-1)}._dim_vixlr_16{color:var(--fg-mute);font-size:var(--fs-sm)}._nav_vixlr_21{margin-left:auto;display:flex;gap:var(--sp-2)}._nav_vixlr_21 button{padding:var(--sp-1) var(--sp-3);font-size:var(--fs-sm)}._active_vixlr_32{border-color:var(--accent)!important;color:var(--accent)}._main_vixlr_37{flex:1;padding:var(--sp-5);overflow:auto}._home_vixlr_43{max-width:720px;margin:0 auto;display:flex;flex-direction:column;gap:var(--sp-4)}._title_vixlr_51{font-size:var(--fs-xl);margin:0;color:var(--accent)}._tagline_vixlr_57{color:var(--fg-mute);margin:0}._linkList_vixlr_62{list-style:none;padding:0;margin:0;display:flex;flex-direction:column;gap:var(--sp-2)}._note_vixlr_71{color:var(--fg-dim);font-size:var(--fs-sm);margin-top:var(--sp-4)}._notFound_vixlr_77{max-width:540px;margin:var(--sp-6) auto}._notFound_vixlr_77 h1{color:var(--accent)}:root{--bg: #0d0d0d;--bg-1: #141414;--bg-2: #1c1c1c;--bg-3: #242424;--fg: #e8e8e8;--fg-mute: #9a9a9a;--fg-dim: #5a5a5a;--line: #2a2a2a;--line-strong: #3a3a3a;--accent: #ff6a00;--accent-2: #00ccff;--accent-3: #ffa860;--good: #6bc26b;--warn: #f5c45e;--bad: #ef5b5b;--info: #5b9eef;--pin-1: rgba(255, 106, 0, .25);--pin-2: rgba(0, 204, 255, .25);--pin-3: rgba(180, 100, 255, .25);--pin-4: rgba(80, 200, 120, .25);--pin-5: rgba(255, 200, 80, .25);--font-mono: "JetBrains Mono", "Fira Code", "SF Mono", Menlo, Consolas, monospace;--font-sans: -apple-system, BlinkMacSystemFont, "Segoe UI", system-ui, sans-serif;--fs-xs: 11px;--fs-sm: 13px;--fs-md: 15px;--fs-lg: 18px;--fs-xl: 24px;--sp-0: 2px;--sp-1: 4px;--sp-2: 8px;--sp-3: 12px;--sp-4: 16px;--sp-5: 24px;--sp-6: 32px;--r-1: 4px;--r-2: 8px;--r-3: 14px;--r-pill: 999px;--ease: cubic-bezier(.25, .8, .35, 1);--dur-fast: .12s;--dur-med: .22s;--dur-slow: .36s;--z-bg: 0;--z-content: 10;--z-overlay: 100;--z-drawer: 200;--z-modal: 1000}*{box-sizing:border-box}html,body,#root{margin:0;padding:0;height:100%;background:var(--bg);color:var(--fg);font-family:var(--font-mono);font-size:var(--fs-md);-webkit-tap-highlight-color:transparent}button{font-family:inherit;font-size:inherit;background:var(--bg-2);color:var(--fg);border:1px solid var(--line);border-radius:var(--r-1);padding:var(--sp-2) var(--sp-3);cursor:pointer;transition:background var(--dur-fast) var(--ease),border-color var(--dur-fast) var(--ease)}button:hover:not(:disabled){background:var(--bg-3);border-color:var(--line-strong)}button:disabled{color:var(--fg-dim);cursor:not-allowed}input,select{font-family:inherit;font-size:inherit;color:var(--fg)}a{color:var(--accent-2);text-decoration:none}a:hover{text-decoration:underline}::selection{background:var(--accent);color:var(--bg)} diff --git a/playground/dist/assets/nisps-processor-BuKuNOY1.js b/playground/dist/assets/nisps-processor-BuKuNOY1.js deleted file mode 100644 index 1c2f3b2..0000000 --- a/playground/dist/assets/nisps-processor-BuKuNOY1.js +++ /dev/null @@ -1,2 +0,0 @@ -(function(){"use strict";class f extends AudioWorkletProcessor{instance=null;engineHandle=0;engineId="thru";muted=!0;inLPtr=0;inRPtr=0;outLPtr=0;outRPtr=0;idPtr=0;paramsPtr=0;inLView=null;inRView=null;outLView=null;outRView=null;paramsView=null;idView=null;mem=null;pendingParams=null;constructor(){super(),this.port.onmessage=i=>this.onMessage_(i.data)}async onMessage_(i){if(i.kind==="init")try{await this.init_(i.wasmBinary,i.sampleRate),this.post_({kind:"ready"})}catch(r){this.post_({kind:"error",message:r instanceof Error?r.message:String(r)})}else i.kind==="engine"?this.switchEngine_(i.engineId):i.kind==="params"?this.applyParams_(i.params):i.kind==="mute"&&(this.muted=i.muted)}post_(i){this.port.postMessage(i)}async init_(i,r){const t=new WebAssembly.Memory({initial:128,maximum:4096,shared:!1}),a=await WebAssembly.compile(i),h=WebAssembly.Module.imports(a),n={};for(const e of h){n[e.module]||(n[e.module]={});const s=n[e.module];e.kind==="function"?(e.name,s[e.name]=(...o)=>0):e.kind==="memory"?s[e.name]=t:e.kind==="table"?s[e.name]=new WebAssembly.Table({element:"anyfunc",initial:0}):e.kind==="global"&&(s[e.name]=new WebAssembly.Global({value:"i32",mutable:!0},0))}for(const e of h){const s=n[e.module];e.name==="a"&&e.kind==="function"&&(s[e.name]=()=>{throw new Error("wasm aborted")}),e.name==="b"&&e.kind==="function"&&(s[e.name]=o=>0)}const w=await WebAssembly.instantiate(a,n),_=WebAssembly.Module.exports(a),P=new Map;for(const e of _)P.set(e.name,e.name);const p=w.exports;function u(...e){for(const s of e){const o=p[s];if(typeof o=="function")return o}throw new Error(`worklet: missing wasm export, tried: ${e.join(", ")}`)}function m(...e){return u(...e)}const l=u("_malloc","malloc"),g=m("_free","free"),y=u("_nisps_engine_create"),R=m("_nisps_engine_destroy"),b=m("_nisps_engine_set_params"),L=m("_nisps_engine_process_block");let d=null;for(const e of _)if(e.kind==="memory"){const s=p[e.name];if(s instanceof WebAssembly.Memory){d=s;break}}this.mem=d??t,this.instance={exports:{memory:this.mem,malloc:l,free:g,_nisps_engine_create:(e,s)=>y(e,s),_nisps_engine_destroy:e=>R(e),_nisps_engine_set_params:(e,s,o)=>b(e,s,o),_nisps_engine_process_block:(e,s,o,V,A,C)=>L(e,s,o,V,A,C)}},this.inLPtr=l(128*4),this.inRPtr=l(128*4),this.outLPtr=l(128*4),this.outRPtr=l(128*4),this.paramsPtr=l(256*4),this.idPtr=l(32);const c=this.mem.buffer;this.inLView=new Float32Array(c,this.inLPtr,128),this.inRView=new Float32Array(c,this.inRPtr,128),this.outLView=new Float32Array(c,this.outLPtr,128),this.outRView=new Float32Array(c,this.outRPtr,128),this.paramsView=new Float32Array(c,this.paramsPtr,256),this.idView=new Uint8Array(c,this.idPtr,32),this.spawnEngine_("thru",r),this.pendingParams&&(this.applyParams_(this.pendingParams),this.pendingParams=null),this.muted=!1}spawnEngine_(i,r){if(!this.instance||!this.idView)return;this.engineHandle&&(this.instance.exports._nisps_engine_destroy(this.engineHandle),this.engineHandle=0);const a=new TextEncoder().encode(i);this.idView.fill(0),this.idView.set(a.subarray(0,Math.min(a.length,31))),this.engineHandle=this.instance.exports._nisps_engine_create(this.idPtr,r),this.engineId=i}switchEngine_(i){this.spawnEngine_(i,sampleRate)}applyParams_(i){if(!this.instance||!this.paramsView){this.pendingParams=i;return}const r=Math.min(i.length,256);for(let t=0;t1?t[1]:t[0];if(this.muted||!this.instance||!this.engineHandle||!this.inLView||!this.outLView||!this.outRView||!this.inRView)return a.fill(0),t.length>1&&h.fill(0),!0;const n=i[0];return n&&n[0]?this.inLView.set(n[0].subarray(0,128)):this.inLView.fill(0),n&&n[1]?this.inRView.set(n[1].subarray(0,128)):n&&n[0]?this.inRView.set(n[0].subarray(0,128)):this.inRView.fill(0),this.instance.exports._nisps_engine_process_block(this.engineHandle,this.inLPtr,this.inRPtr,this.outLPtr,this.outRPtr,128),a.set(this.outLView.subarray(0,a.length)),t.length>1&&h.set(this.outRView.subarray(0,h.length)),!0}}registerProcessor("nisps-processor",f)})(); -//# sourceMappingURL=nisps-processor-BuKuNOY1.js.map diff --git a/playground/dist/assets/nisps-processor-BuKuNOY1.js.map b/playground/dist/assets/nisps-processor-BuKuNOY1.js.map deleted file mode 100644 index 86840d1..0000000 --- a/playground/dist/assets/nisps-processor-BuKuNOY1.js.map +++ /dev/null @@ -1 +0,0 @@ -{"version":3,"file":"nisps-processor-BuKuNOY1.js","sources":["../src/audio/worklet/nisps-processor.ts"],"sourcesContent":["/**\n * AudioWorkletProcessor that runs `nisps.wasm` engines.\n *\n * Why a separate WASM instance from the main thread? AudioWorklet runs in\n * its own thread + global scope; reusing a single instance would require\n * SharedArrayBuffer + locking on the heap. Architecture.md §6.4 specifies\n * separate instances connected by `port` messages instead.\n *\n * Wasm load path: AudioWorklet has NO `fetch` and NO ESM `import`. The\n * main thread fetches `nisps.wasm` once and posts the bytes here as an\n * ArrayBuffer; we then `WebAssembly.compile` and `instantiate` directly,\n * skipping the Emscripten glue entirely. 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s=this.size_*this.inputSize_,a=this.size_*this.outputSize_;for(let r=0;r=this.size_)throw new RangeError(`feature index ${t} out of bounds`);return this.features_.subarray(t*this.inputSize_,(t+1)*this.inputSize_)}label(t){if(t<0||t>=this.size_)throw new RangeError(`label index ${t} out of bounds`);return this.labels_.subarray(t*this.outputSize_,(t+1)*this.outputSize_)}featuresFlat(){return this.features_.subarray(0,this.size_*this.inputSize_)}labelsFlat(){return this.labels_.subarray(0,this.size_*this.outputSize_)}get inputSize(){return this.inputSize_}get outputSize(){return this.outputSize_}computeWeights(t="uniform",e={}){const s=this.size_;if(s===0)return new Float32Array(0);if(s===1)return new Float32Array([1]);const a=new Float32Array(s).fill(1);if(t==="global"||t==="combined"){const i=e.recencyBias??.6;if(i>0){const n=1-.3*i;for(let o=s-2;o>=0;--o)a[o]=a[o+1]*n}}if((t==="local"||t==="combined")&&e.queryInput){const i=e.queryInput,n=e.radius??.15,o=n*n,_=this.inputSize_;for(let u=0;u0&&(a[u]*=Math.pow(1-m,g))}}}let r=0;for(let i=0;i0)for(let i=0;ithis.onMessage_(t.data),this.worker.onerror=t=>{for(const{reject:e}of this.pending.values())e(t.message??"worker error");this.pending.clear()}}init_(){return new Promise((t,e)=>{const s=r=>{const i=r.data;i.kind==="ready"?(this.worker.removeEventListener("message",s),t()):i.kind==="error"&&(this.worker.removeEventListener("message",s),e(new Error(i.message)))};this.worker.addEventListener("message",s);const a=(Date.now()^Math.floor(Math.random()*4294967295))>>>0;this.worker.postMessage({kind:"init",seed:a})})}train(t){if(this.disposed)return Promise.reject(new Error("WasmTrainer disposed"));const e=this.nextId++;return new Promise((s,a)=>{this.pending.set(e,{resolve:s,reject:a});const r={kind:"train",requestId:e,weights:t.weights,features:t.features,labels:t.labels,sampleWeights:t.sampleWeights,lr:t.lr,maxIter:t.maxIter,minErr:t.minErr,inputSize:t.inputSize,outputSize:t.outputSize};this.worker.postMessage(r,[t.weights.buffer,t.features.buffer,t.labels.buffer,t.sampleWeights.buffer])})}dispose(){if(!this.disposed){this.disposed=!0;try{this.worker.postMessage({kind:"dispose"})}catch{}this.worker.terminate();for(const{reject:t}of this.pending.values())t(new Error("disposed"));this.pending.clear()}}onMessage_(t){if(t.kind==="result"){const e=this.pending.get(t.requestId);e&&(this.pending.delete(t.requestId),e.resolve({loss:t.loss,weights:t.weights,lossHistory:t.lossHistory}))}else if(t.kind==="error"){const e=this.pending.get(t.requestId);e&&(this.pending.delete(t.requestId),e.reject(new Error(t.message)))}}}function M(){return H.create()}const W=typeof window>"u"&&typeof self<"u"&&typeof self.importScripts<"u";if(W){let v=function(l,h,f,w){if(!s)throw new Error("worker module not loaded");n!==r&&(i&&s._free(i),i=s._malloc(r*4),n=r),l.length!==_&&(o&&s._free(o),o=s._malloc(l.length*4),_=l.length),h.length!==S&&(u&&s._free(u),u=s._malloc(h.length*4),S=h.length),f.length!==m&&(c&&s._free(c),c=f.length>0?s._malloc(f.length*4):0,m=f.length),new Float32Array(s.HEAPF32.buffer,i,r).set(w),new Float32Array(s.HEAPF32.buffer,o,l.length).set(l),new Float32Array(s.HEAPF32.buffer,u,h.length).set(h),c&&new Float32Array(s.HEAPF32.buffer,c,f.length).set(f)},t=function(l){if(!s)return{kind:"error",requestId:l.requestId,message:"worker not initialised"};try{v(l.features,l.labels,l.sampleWeights,l.weights),s._nisps_ml_set_weights(a,i),s._nisps_ml_clear_examples(a);const h=l.inputSize,f=l.outputSize,w=l.features.length/h;for(let B=0;B0?c:0,E=s._nisps_ml_train(a,l.lr,l.maxIter,l.minErr,A);s._nisps_ml_get_weights(a,i);const k=new Float32Array(s.HEAPF32.buffer,i,r),L=new Float32Array(k),x=new Float32Array([E]);return{kind:"result",requestId:l.requestId,loss:E,weights:L,lossHistory:x}}catch(h){return{kind:"error",requestId:l.requestId,message:h instanceof Error?h.message:String(h)}}},e=function(){s&&(a&&(s._nisps_ml_destroy(a),a=0),i&&(s._free(i),i=0),o&&(s._free(o),o=0),u&&(s._free(u),u=0),c&&(s._free(c),c=0),s=null)},s=null,a=0,r=0,i=0,n=0,o=0,_=0,u=0,S=0,c=0,m=0;async function g(l){const h=await import(new URL("/nisps.js",self.location.origin).toString());s=await(h.default??h.createNispsModule)({locateFile:w=>w.endsWith(".wasm")?new URL("/nisps.wasm",self.location.origin).toString():w}),a=s._nisps_ml_create(0,0,0,0,l>>>0),r=s._nisps_ml_weight_count(a)}self.addEventListener("message",async l=>{const h=l.data;if(h.kind==="init")try{await g(h.seed),self.postMessage({kind:"ready"})}catch(f){self.postMessage({kind:"error",requestId:0,message:f instanceof Error?f.message:String(f)})}else if(h.kind==="train"){const f=t(h);f.kind==="result"?self.postMessage(f,[f.weights.buffer,f.lossHistory.buffer]):self.postMessage(f)}else h.kind==="dispose"&&e()})}const C="/nisps.js",O="/nisps.wasm",U=2,j=126;let F=null;async function N(){if(F)return F;const t=await import(new URL(C,window.location.origin).toString()),e=t.default??t.createNispsModule;if(!e)throw new Error("[wasm-iml] nisps.js does not export a module factory");return F=e,e}class z{constructor(t,e){if(this.mod=t,this.count=e,this.ptr=t._malloc(e*4),!this.ptr)throw new Error(`malloc(${e*4}) failed`);this.view=new Float32Array(t.HEAPF32.buffer,this.ptr,e)}ptr;view;rebind(){Object.defineProperty(this,"view",{value:new Float32Array(this.mod.HEAPF32.buffer,this.ptr,this.count),writable:!1})}free(){this.mod._free(this.ptr)}}class ${constructor(t,e){if(this.mod=t,this.count=e,this.ptr=t._malloc(e),!this.ptr)throw new Error(`malloc(${e}) failed`);this.view=new Uint8Array(t.HEAPU8.buffer,this.ptr,e)}ptr;view;rebind(){Object.defineProperty(this,"view",{value:new Uint8Array(this.mod.HEAPU8.buffer,this.ptr,this.count),writable:!1})}free(){this.mod._free(this.ptr)}}class b{module;mlHandle=0;weightCount_=0;arch_={inputSize:U,hidden:[10,14,18],outputSize:j,numLayers:4};featuresBuf;labelsBuf;weightsBuf;statsBuf;batchInBuf;batchOutBuf;pinMaskBuf;describeBuf;describePtr=0;dataset;lastLoss_=null;trainer=null;storageKey;saveTimer=null;destroyed=!1;static MAX_BATCH=4096;constructor(t){this.dataset=new T(t.maxExamples??100),this.storageKey=t.storageKey??"nisps:wasm-iml"}static async create(t={}){const e=new b(t);return await e.init_(t),e}async init_(t){const e=await N();this.module=await e({locateFile:n=>n.endsWith(".wasm")?new URL(O,window.location.origin).toString():n}),this.describePtr=this.module._malloc(6*4),this.module._nisps_ml_describe(this.describePtr);const s=new Int32Array(this.module.HEAP32.buffer,this.describePtr,6);this.arch_={inputSize:s[0],hidden:[s[1],s[2],s[3]],outputSize:s[4],numLayers:s[5]};const a=t.inputSize??this.arch_.inputSize,r=t.outputSize??this.arch_.outputSize;(a!==this.arch_.inputSize||r!==this.arch_.outputSize)&&console.warn(`[wasm-iml] requested ${a}->${r} but WASM build is fixed at ${this.arch_.inputSize}->${this.arch_.outputSize}; extras are ignored.`);const i=(t.seed??Date.now()>>>0)>>>0;if(this.mlHandle=this.module._nisps_ml_create(this.arch_.inputSize,this.arch_.outputSize,0,0,i),!this.mlHandle)throw new Error("[wasm-iml] nisps_ml_create returned null");this.weightCount_=this.module._nisps_ml_weight_count(this.mlHandle),this.featuresBuf=new z(this.module,this.arch_.inputSize),this.labelsBuf=new z(this.module,this.arch_.outputSize),this.weightsBuf=new z(this.module,this.weightCount_),this.statsBuf=new z(this.module,this.arch_.numLayers*4),this.batchInBuf=new z(this.module,b.MAX_BATCH*this.arch_.inputSize),this.batchOutBuf=new z(this.module,b.MAX_BATCH*this.arch_.outputSize),this.pinMaskBuf=new $(this.module,this.arch_.outputSize),d.__setState(p(n=>{n.inputSize=this.arch_.inputSize,n.outputSize=this.arch_.outputSize,n.exampleCount=0,n.lastLoss=null,n.lossHistory=[],n.training=!1,n.ready=!0})),d.__setOutputs(new Float32Array(this.arch_.outputSize)),this.publishWeights_(),this.tryLoadFromStorage_()}dispose(){this.destroyed||(this.destroyed=!0,this.saveTimer!==null&&(clearTimeout(this.saveTimer),this.saveTimer=null),this.trainer&&(this.trainer.dispose(),this.trainer=null),this.module&&this.mlHandle&&(this.module._nisps_ml_destroy(this.mlHandle),this.mlHandle=0),this.featuresBuf&&this.featuresBuf.free(),this.labelsBuf&&this.labelsBuf.free(),this.weightsBuf&&this.weightsBuf.free(),this.statsBuf&&this.statsBuf.free(),this.batchInBuf&&this.batchInBuf.free(),this.batchOutBuf&&this.batchOutBuf.free(),this.pinMaskBuf&&this.pinMaskBuf.free(),this.describePtr&&this.module._free(this.describePtr),d.__setState(p(t=>{t.ready=!1})))}get architecture(){return this.arch_}get weightCount(){return this.weightCount_}get exampleCount(){return this.dataset.size}get lastLoss(){return this.lastLoss_}setInput(t,e){this.module._nisps_ml_set_input(this.mlHandle,t,e)}process(){this.module._nisps_ml_process(this.mlHandle);const t=this.module._nisps_ml_outputs(this.mlHandle),e=new Float32Array(this.module.HEAPF32.buffer,t,this.arch_.outputSize),s=new Float32Array(e);return d.__setOutputs(s),s}inferXY(t,e){return this.setInput(0,t),this.setInput(1,e),this.process()}inferBatch(t){const e=t.length,s=this.arch_.inputSize,a=this.arch_.outputSize,r=new Float32Array(e*a);let i=0;for(let n=0;n{a.exampleCount=this.dataset.size})),y.emit("ml.example_added",{count:this.dataset.size}),this.scheduleSave_(),!0):!1}copyExampleToWasm_(t,e){const s=this.featuresBuf.view,a=this.labelsBuf.view,r=this.arch_.inputSize,i=this.arch_.outputSize;for(let n=0;n{o.lastLoss=0})),0;let r=0,i=null;a&&a.length===this.dataset.size&&(i=new z(this.module,a.length),i.view.set(a),r=i.ptr),d.__setState(p(o=>{o.training=!0}));let n=0;try{n=this.module._nisps_ml_train(this.mlHandle,t,e,s,r)}finally{i&&i.free(),d.__setState(p(o=>{o.training=!1}))}return this.lastLoss_=n,d.__setState(p(o=>{o.lastLoss=n,o.lossHistory=[n]})),this.publishWeights_(),y.emit("ml.trained",{loss:n}),this.scheduleSave_(),n}async trainAsync(t=1,e=1e3,s=.001,a){if(this.dataset.isEmpty())return this.lastLoss_=0,0;this.trainer||(this.trainer=await M());const r=this.getWeights(),i=new Float32Array(this.dataset.featuresFlat()),n=new Float32Array(this.dataset.labelsFlat()),o=a?new Float32Array(a):new Float32Array(0);d.__setState(p(_=>{_.training=!0}));try{const _=await this.trainer.train({weights:r,features:i,labels:n,sampleWeights:o,lr:t,maxIter:e,minErr:s,inputSize:this.arch_.inputSize,outputSize:this.arch_.outputSize});return this.setWeights(_.weights),this.lastLoss_=_.loss,d.__setState(p(u=>{u.lastLoss=_.loss,u.lossHistory=Array.from(_.lossHistory)})),y.emit("ml.trained",{loss:_.loss}),this.scheduleSave_(),_.loss}finally{d.__setState(p(_=>{_.training=!1}))}}evalLoss(){return this.module._nisps_ml_eval_loss(this.mlHandle)}clearExamples(){this.dataset.clear(),this.module._nisps_ml_clear_examples(this.mlHandle),d.__setState(p(t=>{t.exampleCount=0})),y.emit("ml.examples_cleared",void 0),this.scheduleSave_()}randomiseWeights(t=.6){this.module._nisps_ml_draw_weights(this.mlHandle,t),this.publishWeights_(),y.emit("ml.delta_update",{reason:"randomize"}),this.scheduleSave_()}moveWeights(t,e,s){let a=0;if(s){const r=Math.min(s.length,this.arch_.outputSize);for(let i=0;i{t.exampleCount=0,t.lastLoss=null,t.lossHistory=[]})),this.publishWeights_(),y.emit("ml.examples_cleared",void 0),this.scheduleSave_()}scheduleSave_(){this.saveTimer!==null&&clearTimeout(this.saveTimer),this.saveTimer=window.setTimeout(()=>this.saveNow(),500)}saveNow(){if(!this.destroyed){this.saveTimer!==null&&(clearTimeout(this.saveTimer),this.saveTimer=null);try{const t=this.getWeights(),e={v:1,arch:this.arch_,weights:Array.from(t),features:Array.from(this.dataset.featuresFlat()),labels:Array.from(this.dataset.labelsFlat()),size:this.dataset.size,lastLoss:this.lastLoss_};localStorage.setItem(this.storageKey,JSON.stringify(e))}catch(t){console.warn("[wasm-iml] saveNow failed:",t)}}}tryLoadFromStorage_(){try{const t=localStorage.getItem(this.storageKey);if(!t)return;const e=JSON.parse(t);if(e.v!==1)return;const s=this.arch_.inputSize,a=this.arch_.outputSize;if(e.size>0&&e.features.length===e.size*s&&e.labels.length===e.size*a)for(let r=0;r{r.exampleCount=this.dataset.size,r.lastLoss=this.lastLoss_}))}catch(t){console.warn("[wasm-iml] tryLoadFromStorage failed:",t)}}publishWeights_(){const t=this.getWeights();d.__setWeights(t)}}export{b as WasmIML}; -//# sourceMappingURL=wasm-iml-FZSgVMmn.js.map diff --git a/playground/dist/assets/wasm-iml-FZSgVMmn.js.map b/playground/dist/assets/wasm-iml-FZSgVMmn.js.map deleted file mode 100644 index 42bf685..0000000 --- a/playground/dist/assets/wasm-iml-FZSgVMmn.js.map +++ /dev/null @@ -1 +0,0 @@ -{"version":3,"file":"wasm-iml-FZSgVMmn.js","sources":["../../src/ml/dataset.ts","../../src/ml/wasm-worker.ts","../../src/ml/wasm-iml.ts"],"sourcesContent":["/**\n * Dataset — JS-side training-example store.\n *\n * Why duplicate the C++ ring buffer? Two reasons:\n * 1. Sample-weight computation (recency / spatial / combined) lives in JS so\n * that adjusting weighting modes doesn't burn a WASM round-trip.\n * 2. The dataset is part of session state we serialize to localStorage —\n * the WASM heap is wiped on reload.\n *\n * On train() we ship features + labels into WASM via `addExample` calls. The\n * order of insertion is preserved; FIFO eviction matches the C++ MLP's\n * `dataset_head_` pointer so weighting stays consistent.\n *\n * The implementation is a faithful TypeScript port of the legacy\n * `playground/_archive/js/nisps/dataset.js` with:\n * - Float32Array backing instead of `Array>`\n * - Stricter types\n * - No `withBias` flag (the WASM bindings don't take a bias term)\n */\n\nexport type WeightMode = 'global' | 'local' | 'combined' | 'uniform';\n\nexport interface ComputeWeightsParams {\n /** [0,1] — how strongly to bias toward newest examples (global/combined). */\n recencyBias?: number;\n /** Current input position, used for local/combined spatial weighting. */\n queryInput?: ReadonlyArray;\n /** Spatial radius in input space (local/combined). */\n radius?: number;\n}\n\nexport class Dataset {\n /** Maximum number of examples retained. FIFO eviction beyond this. */\n readonly maxSize: number;\n /** Length of feature vectors. Set on first add(); locked thereafter. */\n private inputSize_ = 0;\n /** Length of label vectors. Set on first add(); locked thereafter. */\n private outputSize_ = 0;\n\n /** Flat arrays — entries `[i*inputSize, (i+1)*inputSize)` belong to example i. */\n private features_: Float32Array = new Float32Array(0);\n private labels_: Float32Array = new Float32Array(0);\n private size_ = 0;\n\n constructor(maxSize = 100) {\n if (maxSize <= 0) throw new Error('Dataset.maxSize must be > 0');\n this.maxSize = maxSize;\n }\n\n /** Number of examples currently stored. */\n get size(): number {\n return this.size_;\n }\n\n isEmpty(): boolean {\n return this.size_ === 0;\n }\n\n /**\n * Add a feature/label pair. Returns true on success, false if the\n * dimensions don't match a previously-added example.\n *\n * Eviction: when at capacity, the oldest example is removed (shift),\n * then the new one is appended. This matches the legacy JS behaviour\n * (and is conceptually equivalent to the C++ side's ring buffer with\n * `head_` advancement).\n */\n add(features: ReadonlyArray, labels: ReadonlyArray): boolean {\n if (this.size_ === 0) {\n this.inputSize_ = features.length;\n this.outputSize_ = labels.length;\n // Allocate full-capacity buffers up front to avoid growth thrash.\n this.features_ = new Float32Array(this.maxSize * this.inputSize_);\n this.labels_ = new Float32Array(this.maxSize * this.outputSize_);\n }\n\n if (features.length !== this.inputSize_ || labels.length !== this.outputSize_) {\n return false;\n }\n\n if (this.size_ >= this.maxSize) {\n // FIFO: shift left in place. This is O(n*dim) and could be replaced\n // with a head pointer; for maxSize ≤ a few hundred it's fine.\n this.features_.copyWithin(0, this.inputSize_);\n this.labels_.copyWithin(0, this.outputSize_);\n this.size_ = this.maxSize - 1;\n }\n\n const fOff = this.size_ * this.inputSize_;\n const lOff = this.size_ * this.outputSize_;\n for (let i = 0; i < this.inputSize_; ++i) this.features_[fOff + i] = features[i];\n for (let i = 0; i < this.outputSize_; ++i) this.labels_[lOff + i] = labels[i];\n this.size_++;\n return true;\n }\n\n clear(): void {\n this.size_ = 0;\n }\n\n /** Read-only view of the i-th feature vector. */\n feature(i: number): Float32Array {\n if (i < 0 || i >= this.size_) throw new RangeError(`feature index ${i} out of bounds`);\n return this.features_.subarray(i * this.inputSize_, (i + 1) * this.inputSize_);\n }\n\n /** Read-only view of the i-th label vector. */\n label(i: number): Float32Array {\n if (i < 0 || i >= this.size_) throw new RangeError(`label index ${i} out of bounds`);\n return this.labels_.subarray(i * this.outputSize_, (i + 1) * this.outputSize_);\n }\n\n /** Flat view of all features (size * inputSize). */\n featuresFlat(): Float32Array {\n return this.features_.subarray(0, this.size_ * this.inputSize_);\n }\n\n /** Flat view of all labels (size * outputSize). */\n labelsFlat(): Float32Array {\n return this.labels_.subarray(0, this.size_ * this.outputSize_);\n }\n\n get inputSize(): number {\n return this.inputSize_;\n }\n get outputSize(): number {\n return this.outputSize_;\n }\n\n /**\n * Compute per-sample training weights. Returns Float32Array (size=this.size)\n * normalized to sum to 1. For an empty dataset returns a 0-length array;\n * for a singleton, [1.0].\n *\n * Modes:\n * - `uniform` — every weight = 1/n.\n * - `global` — exponential recency decay over insertion order.\n * - `local` — within `radius` of `queryInput`, suppress older neighbours.\n * - `combined` — global × local.\n */\n computeWeights(mode: WeightMode = 'uniform', params: ComputeWeightsParams = {}): Float32Array {\n const n = this.size_;\n if (n === 0) return new Float32Array(0);\n if (n === 1) return new Float32Array([1.0]);\n\n const weights = new Float32Array(n).fill(1.0);\n\n if (mode === 'global' || mode === 'combined') {\n const bias = params.recencyBias ?? 0.6;\n if (bias > 0) {\n const decay = 1 - 0.3 * bias;\n for (let i = n - 2; i >= 0; --i) weights[i] = weights[i + 1] * decay;\n }\n }\n\n if ((mode === 'local' || mode === 'combined') && params.queryInput) {\n const query = params.queryInput;\n const radius = params.radius ?? 0.15;\n const radiusSq = radius * radius;\n const dim = this.inputSize_;\n\n for (let i = 0; i < n; ++i) {\n const fOffI = i * dim;\n let distSq = 0;\n for (let d = 0; d < dim; ++d) {\n const diff = this.features_[fOffI + d] - (query[d] ?? 0);\n distSq += diff * diff;\n }\n if (distSq < radiusSq) {\n const proximity = 1 - Math.sqrt(distSq) / radius;\n let newerNearby = 0;\n for (let j = i + 1; j < n; ++j) {\n const fOffJ = j * dim;\n let djSq = 0;\n for (let d = 0; d < dim; ++d) {\n const diff = this.features_[fOffI + d] - this.features_[fOffJ + d];\n djSq += diff * diff;\n }\n if (djSq < radiusSq) ++newerNearby;\n }\n if (newerNearby > 0) {\n weights[i] *= Math.pow(1 - proximity, newerNearby);\n }\n }\n }\n }\n\n let sum = 0;\n for (let i = 0; i < n; ++i) sum += weights[i];\n if (sum > 0) for (let i = 0; i < n; ++i) weights[i] /= sum;\n return weights;\n }\n}\n","/**\n * Disposable Web Worker that runs SGD off the main thread.\n *\n * The worker holds its own `nisps.wasm` instance (architecture.md §6.4).\n * The main thread sends:\n * - current weights (so the worker is in the same state as the UI),\n * - dataset (features + labels),\n * - SGD hyperparameters,\n * and receives updated weights + final loss.\n *\n * This module exposes:\n * - `createTrainer()` - factory that spawns the worker, loads its WASM,\n * and returns a `WasmTrainer` handle.\n * - The worker entry-point itself (when this file runs in a Worker).\n *\n * The worker is implemented inline so a single TS file becomes both the\n * main-thread API and the worker bundle. Vite's `new Worker(new URL(...,\n * import.meta.url))` pattern packs it correctly.\n *\n * Lifecycle: each `WasmTrainer` is disposable via `.dispose()` which\n * terminates the worker. Tests should always dispose to avoid leaks.\n */\n\nimport type { NispsModule, NispsModuleFactory, WorkerRequest, WorkerResponse } from './types';\n\n// ---------------------------------------------------------------------------\n// Main-thread side\n// ---------------------------------------------------------------------------\n\nexport interface TrainArgs {\n weights: Float32Array;\n features: Float32Array;\n labels: Float32Array;\n /** Optional; pass empty for uniform weighting. */\n sampleWeights: Float32Array;\n lr: number;\n maxIter: number;\n minErr: number;\n inputSize: number;\n outputSize: number;\n}\n\nexport interface TrainResult {\n loss: number;\n weights: Float32Array;\n lossHistory: Float32Array;\n}\n\nexport class WasmTrainer {\n private worker: Worker;\n private nextId = 1;\n private pending = new Map void; reject: (e: unknown) => void }>();\n private disposed = false;\n\n static async create(): Promise {\n const trainer = new WasmTrainer();\n await trainer.init_();\n return trainer;\n }\n\n private constructor() {\n this.worker = new Worker(new URL('./wasm-worker.ts', import.meta.url), { type: 'module' });\n this.worker.onmessage = (ev) => this.onMessage_(ev.data as WorkerResponse);\n this.worker.onerror = (ev) => {\n // Fail any pending requests.\n for (const { reject } of this.pending.values()) reject(ev.message ?? 'worker error');\n this.pending.clear();\n };\n }\n\n private init_(): Promise {\n return new Promise((resolve, reject) => {\n const handler = (ev: MessageEvent) => {\n const msg = ev.data as WorkerResponse;\n if (msg.kind === 'ready') {\n this.worker.removeEventListener('message', handler);\n resolve();\n } else if (msg.kind === 'error') {\n this.worker.removeEventListener('message', handler);\n reject(new Error(msg.message));\n }\n };\n this.worker.addEventListener('message', handler);\n const seed = (Date.now() ^ Math.floor(Math.random() * 0xffffffff)) >>> 0;\n this.worker.postMessage({ kind: 'init', seed } satisfies WorkerRequest);\n });\n }\n\n train(args: TrainArgs): Promise {\n if (this.disposed) return Promise.reject(new Error('WasmTrainer disposed'));\n const requestId = this.nextId++;\n return new Promise((resolve, reject) => {\n this.pending.set(requestId, { resolve, reject });\n const msg: WorkerRequest = {\n kind: 'train',\n requestId,\n weights: args.weights,\n features: args.features,\n labels: args.labels,\n sampleWeights: args.sampleWeights,\n lr: args.lr,\n maxIter: args.maxIter,\n minErr: args.minErr,\n inputSize: args.inputSize,\n outputSize: args.outputSize,\n };\n // Transfer all the typed-array buffers we no longer need on the\n // main thread; faster than copying. Caller has already cloned.\n this.worker.postMessage(msg, [\n args.weights.buffer,\n args.features.buffer,\n args.labels.buffer,\n args.sampleWeights.buffer,\n ]);\n });\n }\n\n dispose(): void {\n if (this.disposed) return;\n this.disposed = true;\n try {\n this.worker.postMessage({ kind: 'dispose' } satisfies WorkerRequest);\n } catch {\n /* ignore */\n }\n this.worker.terminate();\n for (const { reject } of this.pending.values()) reject(new Error('disposed'));\n this.pending.clear();\n }\n\n private onMessage_(msg: WorkerResponse): void {\n if (msg.kind === 'result') {\n const p = this.pending.get(msg.requestId);\n if (p) {\n this.pending.delete(msg.requestId);\n p.resolve({ loss: msg.loss, weights: msg.weights, lossHistory: msg.lossHistory });\n }\n } else if (msg.kind === 'error') {\n const p = this.pending.get(msg.requestId);\n if (p) {\n this.pending.delete(msg.requestId);\n p.reject(new Error(msg.message));\n }\n }\n // 'ready' handled in init_().\n }\n}\n\nexport function createTrainer(): Promise {\n return WasmTrainer.create();\n}\n\n// ---------------------------------------------------------------------------\n// Worker-thread side\n// ---------------------------------------------------------------------------\n//\n// When this module is loaded in a Worker, `self` is `WorkerGlobalScope` and\n// `window` is undefined. We use that as the dispatch.\n//\n// We import the wasm via a same-origin fetch (no DOM available so we can't\n// use a regular import URL — but Vite's bundler treats `new Worker(...)`\n// specially and `?url` imports work for assets).\n\n// Inside a Worker, `self` is a `DedicatedWorkerGlobalScope`. To keep TS\n// happy in both build contexts we use a structural cast.\ndeclare const self: {\n postMessage: (msg: unknown, transfer?: Transferable[]) => void;\n addEventListener: (event: string, handler: (ev: MessageEvent) => void) => void;\n location: { origin: string };\n importScripts?: unknown;\n};\n\nconst isWorker =\n typeof window === 'undefined' &&\n typeof self !== 'undefined' &&\n typeof (self as { importScripts?: unknown }).importScripts !== 'undefined';\n\nif (isWorker) {\n // Module-level state in worker scope.\n let mod: NispsModule | null = null;\n let mlHandle = 0;\n let weightCount = 0;\n\n // Heap buffers (allocated on first train).\n let weightsPtr = 0;\n let weightsViewLen = 0;\n let featuresPtr = 0;\n let featuresLen = 0;\n let labelsPtr = 0;\n let labelsLen = 0;\n let sampleWeightsPtr = 0;\n let sampleWeightsLen = 0;\n\n async function loadModule(seed: number): Promise {\n // Same-origin fetch to /nisps.js. The worker is served by the dev\n // server with COOP/COEP set, so this works.\n const factoryMod = await import(/* @vite-ignore */ new URL('/nisps.js', self.location.origin).toString());\n const factory: NispsModuleFactory =\n // eslint-disable-next-line @typescript-eslint/no-explicit-any\n (factoryMod as any).default ?? (factoryMod as any).createNispsModule;\n mod = await factory({\n locateFile: (path: string) => {\n if (path.endsWith('.wasm')) return new URL('/nisps.wasm', self.location.origin).toString();\n return path;\n },\n });\n mlHandle = mod._nisps_ml_create(0, 0, 0, 0, seed >>> 0);\n weightCount = mod._nisps_ml_weight_count(mlHandle);\n }\n\n function ensureBuffers(features: Float32Array, labels: Float32Array, sampleWeights: Float32Array, weights: Float32Array): void {\n if (!mod) throw new Error('worker module not loaded');\n\n if (weightsViewLen !== weightCount) {\n if (weightsPtr) mod._free(weightsPtr);\n weightsPtr = mod._malloc(weightCount * 4);\n weightsViewLen = weightCount;\n }\n if (features.length !== featuresLen) {\n if (featuresPtr) mod._free(featuresPtr);\n featuresPtr = mod._malloc(features.length * 4);\n featuresLen = features.length;\n }\n if (labels.length !== labelsLen) {\n if (labelsPtr) mod._free(labelsPtr);\n labelsPtr = mod._malloc(labels.length * 4);\n labelsLen = labels.length;\n }\n if (sampleWeights.length !== sampleWeightsLen) {\n if (sampleWeightsPtr) mod._free(sampleWeightsPtr);\n sampleWeightsPtr = sampleWeights.length > 0 ? mod._malloc(sampleWeights.length * 4) : 0;\n sampleWeightsLen = sampleWeights.length;\n }\n\n new Float32Array(mod.HEAPF32.buffer, weightsPtr, weightCount).set(weights);\n new Float32Array(mod.HEAPF32.buffer, featuresPtr, features.length).set(features);\n new Float32Array(mod.HEAPF32.buffer, labelsPtr, labels.length).set(labels);\n if (sampleWeightsPtr) {\n new Float32Array(mod.HEAPF32.buffer, sampleWeightsPtr, sampleWeights.length).set(sampleWeights);\n }\n }\n\n function trainOnce(req: Extract): WorkerResponse {\n if (!mod) {\n return { kind: 'error', requestId: req.requestId, message: 'worker not initialised' };\n }\n try {\n ensureBuffers(req.features, req.labels, req.sampleWeights, req.weights);\n // Push current weights into our MLP.\n mod._nisps_ml_set_weights(mlHandle, weightsPtr);\n\n // Seed the example ring buffer. We must clear first because past\n // train calls may have left examples there.\n mod._nisps_ml_clear_examples(mlHandle);\n const inSz = req.inputSize;\n const outSz = req.outputSize;\n const n = req.features.length / inSz;\n // Allocate small per-example scratch (re-used across iterations of\n // this loop).\n // We use stack-equivalents by allocating once, then shifting pointers.\n for (let i = 0; i < n; ++i) {\n const fPtr = featuresPtr + i * inSz * 4;\n const lPtr = labelsPtr + i * outSz * 4;\n mod._nisps_ml_add_example(mlHandle, fPtr, lPtr);\n }\n\n // Run training.\n const swPtr = req.sampleWeights.length > 0 ? sampleWeightsPtr : 0;\n const loss = mod._nisps_ml_train(mlHandle, req.lr, req.maxIter, req.minErr, swPtr);\n\n // Read out final weights.\n mod._nisps_ml_get_weights(mlHandle, weightsPtr);\n const view = new Float32Array(mod.HEAPF32.buffer, weightsPtr, weightCount);\n const outWeights = new Float32Array(view); // copy\n\n // Loss history not yet plumbed via WASM; emit just final loss.\n const lossHistory = new Float32Array([loss]);\n\n return {\n kind: 'result',\n requestId: req.requestId,\n loss,\n weights: outWeights,\n lossHistory,\n };\n } catch (err) {\n return {\n kind: 'error',\n requestId: req.requestId,\n message: err instanceof Error ? err.message : String(err),\n };\n }\n }\n\n function disposeModule(): void {\n if (!mod) return;\n if (mlHandle) {\n mod._nisps_ml_destroy(mlHandle);\n mlHandle = 0;\n }\n if (weightsPtr) { mod._free(weightsPtr); weightsPtr = 0; }\n if (featuresPtr) { mod._free(featuresPtr); featuresPtr = 0; }\n if (labelsPtr) { mod._free(labelsPtr); labelsPtr = 0; }\n if (sampleWeightsPtr) { mod._free(sampleWeightsPtr); sampleWeightsPtr = 0; }\n mod = null;\n }\n\n self.addEventListener('message', async (ev: MessageEvent) => {\n const req = ev.data;\n if (req.kind === 'init') {\n try {\n await loadModule(req.seed);\n self.postMessage({ kind: 'ready' } satisfies WorkerResponse);\n } catch (err) {\n self.postMessage({\n kind: 'error',\n requestId: 0,\n message: err instanceof Error ? err.message : String(err),\n } satisfies WorkerResponse);\n }\n } else if (req.kind === 'train') {\n const res = trainOnce(req);\n // Transfer weights back to main thread to avoid copy.\n if (res.kind === 'result') {\n self.postMessage(res, [res.weights.buffer, res.lossHistory.buffer]);\n } else {\n self.postMessage(res);\n }\n } else if (req.kind === 'dispose') {\n disposeModule();\n // Worker terminates from main thread side via .terminate().\n }\n });\n}\n","/**\n * WasmIML — main-thread ML interface backed by `nisps.wasm`.\n *\n * Owns:\n * - One `nisps.wasm` instance.\n * - One MLP handle.\n * - A JS-side `Dataset` (mirrors the C++ ring buffer; see dataset.ts).\n * - Pre-allocated heap buffers for inputs/outputs/weights/etc.\n * - A lazy `WasmTrainer` worker for off-thread async training.\n *\n * Threading model (architecture.md §6.4):\n * - Inference + sync training run on this main-thread instance.\n * - `trainAsync()` spawns/uses a worker which holds a SECOND wasm\n * instance; weights round-trip through `getWeights()`/`setWeights()`.\n *\n * Side effects: every mutation that should be visible to the UI calls into\n * `mlStore`. The store is the single source of truth for Solid components.\n *\n * Concept compatibility: this class re-implements the legacy WasmIML\n * surface area documented in `recon/04-playground.md §6` so the existing\n * Playwright debug-probe tests can keep passing once the new probe is\n * wired up.\n */\n\nimport { produce } from 'solid-js/store';\n\nimport { mlStore } from '../stores/ml-store';\nimport { coreBus } from '../stores/bus';\nimport { Dataset } from './dataset';\nimport type {\n LayerStats,\n MLArchitecture,\n NispsModule,\n NispsModuleFactory,\n} from './types';\nimport { createTrainer, type WasmTrainer } from './wasm-worker';\n\nconst NISPS_JS_URL = '/nisps.js';\nconst NISPS_WASM_URL = '/nisps.wasm';\n\n/** Default architecture matches `nisps/wasm/bindings.cpp` instantiation. */\nconst DEFAULT_INPUT_SIZE = 2;\nconst DEFAULT_OUTPUT_SIZE = 126;\n\nlet cachedFactory: NispsModuleFactory | null = null;\n\n/**\n * Load the Emscripten glue once, cache the factory.\n *\n * The glue is served from `playground/public/nisps.js` (committed). We\n * dynamically import it so the WASM only loads when the ML system is first\n * used — `/dev/primitives` doesn't pay for it.\n */\nasync function getFactory(): Promise {\n if (cachedFactory) return cachedFactory;\n // Vite serves `/nisps.js` as a normal asset; we use a dynamic-eval import\n // to avoid Vite trying to resolve it at build time.\n const url = new URL(NISPS_JS_URL, window.location.origin).toString();\n const mod = await import(/* @vite-ignore */ url);\n // Emscripten MODULARIZE=1 default export key is `default`.\n // tslint:disable-next-line:no-any\n const factory = (mod as { default?: NispsModuleFactory; createNispsModule?: NispsModuleFactory })\n .default ?? (mod as { createNispsModule?: NispsModuleFactory }).createNispsModule;\n if (!factory) throw new Error('[wasm-iml] nisps.js does not export a module factory');\n cachedFactory = factory;\n return factory;\n}\n\n/** Aligned float-array allocation helper. Returns ptr + a view. */\nclass HeapBuffer {\n readonly ptr: number;\n readonly view: Float32Array;\n constructor(private mod: NispsModule, public readonly count: number) {\n this.ptr = mod._malloc(count * 4);\n if (!this.ptr) throw new Error(`malloc(${count * 4}) failed`);\n this.view = new Float32Array(mod.HEAPF32.buffer, this.ptr, count);\n }\n /** After memory growth, refresh the view onto the new ArrayBuffer. */\n rebind(): void {\n // Re-create the view with the (possibly new) underlying buffer.\n Object.defineProperty(this, 'view', {\n value: new Float32Array(this.mod.HEAPF32.buffer, this.ptr, this.count),\n writable: false,\n });\n }\n free(): void {\n this.mod._free(this.ptr);\n }\n}\n\nclass HeapU8 {\n readonly ptr: number;\n readonly view: Uint8Array;\n constructor(private mod: NispsModule, public readonly count: number) {\n this.ptr = mod._malloc(count);\n if (!this.ptr) throw new Error(`malloc(${count}) failed`);\n this.view = new Uint8Array(mod.HEAPU8.buffer, this.ptr, count);\n }\n rebind(): void {\n Object.defineProperty(this, 'view', {\n value: new Uint8Array(this.mod.HEAPU8.buffer, this.ptr, this.count),\n writable: false,\n });\n }\n free(): void {\n this.mod._free(this.ptr);\n }\n}\n\nexport interface WasmIMLOptions {\n inputSize?: number;\n outputSize?: number;\n hiddenLayers?: ReadonlyArray;\n seed?: number;\n /** localStorage key the loaded weights/dataset will be persisted under. */\n storageKey?: string;\n maxExamples?: number;\n}\n\nexport class WasmIML {\n // WASM binding state.\n private module!: NispsModule;\n private mlHandle = 0;\n private weightCount_ = 0;\n\n // Architecture descriptor (resolved post-init from the WASM build).\n private arch_: MLArchitecture = {\n inputSize: DEFAULT_INPUT_SIZE,\n hidden: [10, 14, 18],\n outputSize: DEFAULT_OUTPUT_SIZE,\n numLayers: 4,\n };\n\n // Pre-allocated heap buffers.\n private featuresBuf!: HeapBuffer;\n private labelsBuf!: HeapBuffer;\n private weightsBuf!: HeapBuffer;\n private statsBuf!: HeapBuffer;\n private batchInBuf!: HeapBuffer;\n private batchOutBuf!: HeapBuffer;\n private pinMaskBuf!: HeapU8;\n private describeBuf!: HeapBuffer; // 6 ints, reused as 6 floats on the heap is wrong;\n // We use HEAP32 directly via a tiny scratch malloc:\n private describePtr = 0;\n\n // JS-side state.\n readonly dataset: Dataset;\n private lastLoss_: number | null = null;\n private trainer: WasmTrainer | null = null;\n private storageKey: string;\n private saveTimer: number | null = null;\n private destroyed = false;\n\n static MAX_BATCH = 4096;\n\n private constructor(opts: WasmIMLOptions) {\n this.dataset = new Dataset(opts.maxExamples ?? 100);\n this.storageKey = opts.storageKey ?? 'nisps:wasm-iml';\n }\n\n /**\n * Async factory. Loads the wasm, creates the MLP handle, allocates heap\n * buffers, and rehydrates persisted state.\n */\n static async create(opts: WasmIMLOptions = {}): Promise {\n const inst = new WasmIML(opts);\n await inst.init_(opts);\n return inst;\n }\n\n private async init_(opts: WasmIMLOptions): Promise {\n const factory = await getFactory();\n this.module = await factory({\n // Vite serves /nisps.wasm at the root; the default locateFile would\n // resolve relative to nisps.js (also at root) so this is the same\n // result, but explicit is better.\n locateFile: (path: string) => {\n if (path.endsWith('.wasm')) return new URL(NISPS_WASM_URL, window.location.origin).toString();\n return path;\n },\n });\n\n // Resolve architecture via the WASM module (compile-time fixed; we\n // stash the values for callers that need them).\n this.describePtr = this.module._malloc(6 * 4);\n this.module._nisps_ml_describe(this.describePtr);\n const dims = new Int32Array(this.module.HEAP32.buffer, this.describePtr, 6);\n this.arch_ = {\n inputSize: dims[0],\n hidden: [dims[1], dims[2], dims[3]],\n outputSize: dims[4],\n numLayers: dims[5],\n };\n\n // Caller-supplied dimensions are accepted but ignored; warn if mismatch.\n const wantedIn = opts.inputSize ?? this.arch_.inputSize;\n const wantedOut = opts.outputSize ?? this.arch_.outputSize;\n if (wantedIn !== this.arch_.inputSize || wantedOut !== this.arch_.outputSize) {\n console.warn(\n `[wasm-iml] requested ${wantedIn}->${wantedOut} but WASM build is fixed at ` +\n `${this.arch_.inputSize}->${this.arch_.outputSize}; extras are ignored.`,\n );\n }\n\n // Create the MLP. We pass dummy hidden ptr/count — the binding ignores them.\n const seed = (opts.seed ?? (Date.now() >>> 0)) >>> 0;\n this.mlHandle = this.module._nisps_ml_create(\n this.arch_.inputSize,\n this.arch_.outputSize,\n 0, // hidden ptr (unused)\n 0, // n_hidden (unused)\n seed,\n );\n if (!this.mlHandle) throw new Error('[wasm-iml] nisps_ml_create returned null');\n\n this.weightCount_ = this.module._nisps_ml_weight_count(this.mlHandle);\n\n // Heap buffers (created after we know the architecture).\n this.featuresBuf = new HeapBuffer(this.module, this.arch_.inputSize);\n this.labelsBuf = new HeapBuffer(this.module, this.arch_.outputSize);\n this.weightsBuf = new HeapBuffer(this.module, this.weightCount_);\n this.statsBuf = new HeapBuffer(this.module, this.arch_.numLayers * 4);\n this.batchInBuf = new HeapBuffer(this.module, WasmIML.MAX_BATCH * this.arch_.inputSize);\n this.batchOutBuf = new HeapBuffer(this.module, WasmIML.MAX_BATCH * this.arch_.outputSize);\n this.pinMaskBuf = new HeapU8(this.module, this.arch_.outputSize);\n\n // Push initial state to the store.\n mlStore.__setState(produce((s) => {\n s.inputSize = this.arch_.inputSize;\n s.outputSize = this.arch_.outputSize;\n s.exampleCount = 0;\n s.lastLoss = null;\n s.lossHistory = [];\n s.training = false;\n s.ready = true;\n }));\n mlStore.__setOutputs(new Float32Array(this.arch_.outputSize));\n this.publishWeights_();\n\n // Load persisted state if present (best-effort).\n this.tryLoadFromStorage_();\n }\n\n // -------------------------------------------------------------------\n // Lifecycle\n // -------------------------------------------------------------------\n\n dispose(): void {\n if (this.destroyed) return;\n this.destroyed = true;\n if (this.saveTimer !== null) {\n clearTimeout(this.saveTimer);\n this.saveTimer = null;\n }\n if (this.trainer) {\n this.trainer.dispose();\n this.trainer = null;\n }\n if (this.module && this.mlHandle) {\n this.module._nisps_ml_destroy(this.mlHandle);\n this.mlHandle = 0;\n }\n if (this.featuresBuf) this.featuresBuf.free();\n if (this.labelsBuf) this.labelsBuf.free();\n if (this.weightsBuf) this.weightsBuf.free();\n if (this.statsBuf) this.statsBuf.free();\n if (this.batchInBuf) this.batchInBuf.free();\n if (this.batchOutBuf) this.batchOutBuf.free();\n if (this.pinMaskBuf) this.pinMaskBuf.free();\n if (this.describePtr) this.module._free(this.describePtr);\n mlStore.__setState(produce((s) => {\n s.ready = false;\n }));\n }\n\n get architecture(): MLArchitecture {\n return this.arch_;\n }\n get weightCount(): number {\n return this.weightCount_;\n }\n get exampleCount(): number {\n return this.dataset.size;\n }\n get lastLoss(): number | null {\n return this.lastLoss_;\n }\n\n // -------------------------------------------------------------------\n // Inference\n // -------------------------------------------------------------------\n\n setInput(idx: number, value: number): void {\n this.module._nisps_ml_set_input(this.mlHandle, idx, value);\n }\n\n process(): Float32Array {\n this.module._nisps_ml_process(this.mlHandle);\n const ptr = this.module._nisps_ml_outputs(this.mlHandle);\n // Copy out so the caller can hold onto it across memory growth.\n const view = new Float32Array(this.module.HEAPF32.buffer, ptr, this.arch_.outputSize);\n const out = new Float32Array(view); // copy\n mlStore.__setOutputs(out);\n return out;\n }\n\n /** Convenience: setInput(0,x); setInput(1,y); process(). */\n inferXY(x: number, y: number): Float32Array {\n this.setInput(0, x);\n this.setInput(1, y);\n return this.process();\n }\n\n /**\n * Batch inference. `points` is an array of [x,y] tuples (or any vector\n * length <= inputSize; trailing entries zero-padded). Returns a flat\n * Float32Array of length n * outputSize.\n *\n * Larger requests than `MAX_BATCH` are chunked transparently.\n */\n inferBatch(points: ReadonlyArray>): Float32Array {\n const n = points.length;\n const inSz = this.arch_.inputSize;\n const outSz = this.arch_.outputSize;\n const result = new Float32Array(n * outSz);\n\n let written = 0;\n for (let offset = 0; offset < n; offset += WasmIML.MAX_BATCH) {\n const chunk = Math.min(WasmIML.MAX_BATCH, n - offset);\n // Pack into batchInBuf.\n for (let i = 0; i < chunk; ++i) {\n const src = points[offset + i];\n const base = i * inSz;\n for (let j = 0; j < inSz; ++j) this.batchInBuf.view[base + j] = src[j] ?? 0;\n }\n this.module._nisps_ml_infer_batch(\n this.mlHandle,\n this.batchInBuf.ptr,\n chunk,\n this.batchOutBuf.ptr,\n );\n // Copy out into result.\n const slice = this.batchOutBuf.view.subarray(0, chunk * outSz);\n result.set(slice, written);\n written += chunk * outSz;\n }\n return result;\n }\n\n // -------------------------------------------------------------------\n // Training\n // -------------------------------------------------------------------\n\n /**\n * Add a feature/label pair to BOTH the JS dataset and the WASM ring\n * buffer. The two stay in sync because every train() call pushes the\n * full JS dataset back into WASM (in case of weight recompute, undo\n * restore, etc.). For the sake of correctness, we re-sync on each add\n * too — cheap relative to training.\n */\n addExample(features: ReadonlyArray, labels: ReadonlyArray): boolean {\n const ok = this.dataset.add(features, labels);\n if (!ok) return false;\n this.copyExampleToWasm_(features, labels);\n mlStore.__setState(produce((s) => {\n s.exampleCount = this.dataset.size;\n }));\n coreBus.emit('ml.example_added', { count: this.dataset.size });\n this.scheduleSave_();\n return true;\n }\n\n private copyExampleToWasm_(features: ReadonlyArray, labels: ReadonlyArray): void {\n const fv = this.featuresBuf.view;\n const lv = this.labelsBuf.view;\n const inSz = this.arch_.inputSize;\n const outSz = this.arch_.outputSize;\n for (let i = 0; i < inSz; ++i) fv[i] = features[i] ?? 0;\n for (let i = 0; i < outSz; ++i) lv[i] = labels[i] ?? 0;\n this.module._nisps_ml_add_example(this.mlHandle, this.featuresBuf.ptr, this.labelsBuf.ptr);\n }\n\n /**\n * Synchronous training. Returns the final loss (also stored in\n * `lastLoss`). Updates `mlStore.lastLoss` and emits `ml.trained`.\n *\n * Caller can pass per-sample weights; if omitted the WASM side uses\n * uniform 1/n weighting.\n */\n train(lr = 1.0, maxIter = 1000, minErr = 0.001, sampleWeights?: Float32Array): number {\n if (this.dataset.isEmpty()) {\n this.lastLoss_ = 0;\n mlStore.__setState(produce((s) => { s.lastLoss = 0; }));\n return 0;\n }\n\n let weightsPtr = 0;\n let weightsHandle: HeapBuffer | null = null;\n if (sampleWeights && sampleWeights.length === this.dataset.size) {\n weightsHandle = new HeapBuffer(this.module, sampleWeights.length);\n weightsHandle.view.set(sampleWeights);\n weightsPtr = weightsHandle.ptr;\n }\n\n mlStore.__setState(produce((s) => { s.training = true; }));\n let loss = 0;\n try {\n loss = this.module._nisps_ml_train(this.mlHandle, lr, maxIter, minErr, weightsPtr);\n } finally {\n if (weightsHandle) weightsHandle.free();\n mlStore.__setState(produce((s) => { s.training = false; }));\n }\n\n this.lastLoss_ = loss;\n mlStore.__setState(produce((s) => {\n s.lastLoss = loss;\n // The C++ MLP stores per-iter history but we don't currently expose\n // it via the WASM bindings. Stream 9 may add nisps_ml_loss_history.\n s.lossHistory = [loss];\n }));\n this.publishWeights_();\n coreBus.emit('ml.trained', { loss });\n this.scheduleSave_();\n return loss;\n }\n\n /**\n * Async training via worker. The worker holds a SECOND wasm instance,\n * receives current weights + dataset, runs SGD, and returns updated\n * weights. Main-thread weights are then `setWeights()`-restored.\n */\n async trainAsync(lr = 1.0, maxIter = 1000, minErr = 0.001, sampleWeights?: Float32Array): Promise {\n if (this.dataset.isEmpty()) {\n this.lastLoss_ = 0;\n return 0;\n }\n if (!this.trainer) this.trainer = await createTrainer();\n\n const weights = this.getWeights();\n const features = new Float32Array(this.dataset.featuresFlat());\n const labels = new Float32Array(this.dataset.labelsFlat());\n const sw = sampleWeights ? new Float32Array(sampleWeights) : new Float32Array(0);\n\n mlStore.__setState(produce((s) => { s.training = true; }));\n try {\n const result = await this.trainer.train({\n weights,\n features,\n labels,\n sampleWeights: sw,\n lr,\n maxIter,\n minErr,\n inputSize: this.arch_.inputSize,\n outputSize: this.arch_.outputSize,\n });\n this.setWeights(result.weights);\n this.lastLoss_ = result.loss;\n mlStore.__setState(produce((s) => {\n s.lastLoss = result.loss;\n s.lossHistory = Array.from(result.lossHistory);\n }));\n coreBus.emit('ml.trained', { loss: result.loss });\n this.scheduleSave_();\n return result.loss;\n } finally {\n mlStore.__setState(produce((s) => { s.training = false; }));\n }\n }\n\n /** Non-destructive loss query. */\n evalLoss(): number {\n return this.module._nisps_ml_eval_loss(this.mlHandle);\n }\n\n clearExamples(): void {\n this.dataset.clear();\n this.module._nisps_ml_clear_examples(this.mlHandle);\n mlStore.__setState(produce((s) => { s.exampleCount = 0; }));\n coreBus.emit('ml.examples_cleared', undefined);\n this.scheduleSave_();\n }\n\n // -------------------------------------------------------------------\n // RL ops\n // -------------------------------------------------------------------\n\n randomiseWeights(spread = 0.6): void {\n this.module._nisps_ml_draw_weights(this.mlHandle, spread);\n this.publishWeights_();\n coreBus.emit('ml.delta_update', { reason: 'randomize' });\n this.scheduleSave_();\n }\n\n moveWeights(speed: number, spread: number, pinMask?: Uint8Array): void {\n let maskPtr = 0;\n if (pinMask) {\n const sz = Math.min(pinMask.length, this.arch_.outputSize);\n for (let i = 0; i < sz; ++i) this.pinMaskBuf.view[i] = pinMask[i];\n for (let i = sz; i < this.arch_.outputSize; ++i) this.pinMaskBuf.view[i] = 0;\n maskPtr = this.pinMaskBuf.ptr;\n }\n this.module._nisps_ml_move_weights(this.mlHandle, speed, spread, maskPtr);\n this.publishWeights_();\n // The caller (RL handler) decides whether this is a thumbs-up/down;\n // we emit a generic delta_update.\n coreBus.emit('ml.delta_update', { reason: 'thumbs_down' });\n }\n\n // -------------------------------------------------------------------\n // Weights I/O\n // -------------------------------------------------------------------\n\n getWeights(): Float32Array {\n this.module._nisps_ml_get_weights(this.mlHandle, this.weightsBuf.ptr);\n // Copy out so caller can mutate freely.\n return new Float32Array(this.weightsBuf.view);\n }\n\n setWeights(w: Float32Array | Uint8Array): void {\n if (w.length < this.weightCount_) {\n throw new Error(`setWeights: expected ${this.weightCount_} floats, got ${w.length}`);\n }\n this.weightsBuf.view.set(w as Float32Array, 0);\n this.module._nisps_ml_set_weights(this.mlHandle, this.weightsBuf.ptr);\n this.publishWeights_();\n }\n\n /** Per-layer weight stats. Returns one record per layer. */\n getLayerStats(): LayerStats[] {\n this.module._nisps_ml_get_layer_stats(this.mlHandle, this.statsBuf.ptr);\n const out: LayerStats[] = [];\n for (let i = 0; i < this.arch_.numLayers; ++i) {\n const base = i * 4;\n out.push({\n meanAbs: this.statsBuf.view[base],\n maxAbs: this.statsBuf.view[base + 1],\n deadFrac: this.statsBuf.view[base + 2],\n saturatingFrac: this.statsBuf.view[base + 3],\n });\n }\n return out;\n }\n\n /** Flat layer-stats Float32Array (numLayers * 4). For probe API. */\n getLayerStatsFlat(): Float32Array {\n this.module._nisps_ml_get_layer_stats(this.mlHandle, this.statsBuf.ptr);\n return new Float32Array(this.statsBuf.view);\n }\n\n // -------------------------------------------------------------------\n // Misc\n // -------------------------------------------------------------------\n\n reset(): void {\n this.module._nisps_ml_reset(this.mlHandle);\n this.dataset.clear();\n this.lastLoss_ = null;\n mlStore.__setState(produce((s) => {\n s.exampleCount = 0;\n s.lastLoss = null;\n s.lossHistory = [];\n }));\n this.publishWeights_();\n coreBus.emit('ml.examples_cleared', undefined);\n this.scheduleSave_();\n }\n\n // -------------------------------------------------------------------\n // Persistence\n // -------------------------------------------------------------------\n\n private scheduleSave_(): void {\n if (this.saveTimer !== null) clearTimeout(this.saveTimer);\n this.saveTimer = window.setTimeout(() => this.saveNow(), 500);\n }\n\n saveNow(): void {\n if (this.destroyed) return;\n if (this.saveTimer !== null) {\n clearTimeout(this.saveTimer);\n this.saveTimer = null;\n }\n try {\n const weights = this.getWeights();\n const payload = {\n v: 1,\n arch: this.arch_,\n weights: Array.from(weights),\n features: Array.from(this.dataset.featuresFlat()),\n labels: Array.from(this.dataset.labelsFlat()),\n size: this.dataset.size,\n lastLoss: this.lastLoss_,\n };\n localStorage.setItem(this.storageKey, JSON.stringify(payload));\n } catch (err) {\n // localStorage might be full or unavailable; not fatal.\n console.warn('[wasm-iml] saveNow failed:', err);\n }\n }\n\n private tryLoadFromStorage_(): void {\n try {\n const raw = localStorage.getItem(this.storageKey);\n if (!raw) return;\n const payload = JSON.parse(raw) as {\n v: number;\n weights: number[];\n features: number[];\n labels: number[];\n size: number;\n lastLoss: number | null;\n };\n if (payload.v !== 1) return;\n // Restore dataset (rebuild via add()).\n const inSz = this.arch_.inputSize;\n const outSz = this.arch_.outputSize;\n if (payload.size > 0 && payload.features.length === payload.size * inSz &&\n payload.labels.length === payload.size * outSz) {\n for (let i = 0; i < payload.size; ++i) {\n const f = payload.features.slice(i * inSz, (i + 1) * inSz);\n const l = payload.labels.slice(i * outSz, (i + 1) * outSz);\n this.dataset.add(f, l);\n // Also push to the WASM ring buffer.\n this.copyExampleToWasm_(f, l);\n }\n }\n // Restore weights.\n if (payload.weights.length === this.weightCount_) {\n this.setWeights(new Float32Array(payload.weights));\n }\n this.lastLoss_ = payload.lastLoss;\n mlStore.__setState(produce((s) => {\n s.exampleCount = this.dataset.size;\n s.lastLoss = this.lastLoss_;\n }));\n } catch (err) {\n console.warn('[wasm-iml] tryLoadFromStorage failed:', err);\n }\n }\n\n // -------------------------------------------------------------------\n // Helpers\n // -------------------------------------------------------------------\n\n private publishWeights_(): void {\n const w = this.getWeights();\n mlStore.__setWeights(w);\n 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URL("/nisps.wasm",self.location.origin).toString():u}),r=e._nisps_ml_create(0,0,0,0,t>>>0),a=e._nisps_ml_weight_count(r)}self.addEventListener("message",async t=>{const s=t.data;if(s.kind==="init")try{await k(s.seed),self.postMessage({kind:"ready"})}catch(n){self.postMessage({kind:"error",requestId:0,message:n instanceof Error?n.message:String(n)})}else if(s.kind==="train"){const n=p(s);n.kind==="result"?self.postMessage(n,[n.weights.buffer,n.lossHistory.buffer]):self.postMessage(n)}else s.kind==="dispose"&&y()})}})(); -//# sourceMappingURL=wasm-worker-OATBBHaT.js.map diff --git a/playground/dist/assets/wasm-worker-OATBBHaT.js.map b/playground/dist/assets/wasm-worker-OATBBHaT.js.map deleted file mode 100644 index 289c674..0000000 --- a/playground/dist/assets/wasm-worker-OATBBHaT.js.map +++ /dev/null @@ -1 +0,0 @@ -{"version":3,"file":"wasm-worker-OATBBHaT.js","sources":["../src/ml/wasm-worker.ts"],"sourcesContent":["/**\n * Disposable Web Worker that runs SGD off the main thread.\n *\n * The worker holds its own `nisps.wasm` instance (architecture.md §6.4).\n * The main thread sends:\n * - current weights (so the worker is in the same state as the UI),\n * - dataset (features + labels),\n * - SGD hyperparameters,\n * and receives updated weights + final loss.\n *\n * This module exposes:\n * - `createTrainer()` - factory that spawns the worker, loads its WASM,\n * and returns a `WasmTrainer` handle.\n * - The worker entry-point itself (when this file runs in a Worker).\n *\n * The worker is implemented inline so a single TS file becomes both the\n * main-thread API and the worker bundle. Vite's `new Worker(new URL(...,\n * import.meta.url))` pattern packs it correctly.\n *\n * Lifecycle: each `WasmTrainer` is disposable via `.dispose()` which\n * terminates the worker. Tests should always dispose to avoid leaks.\n */\n\nimport type { NispsModule, NispsModuleFactory, WorkerRequest, WorkerResponse } from './types';\n\n// ---------------------------------------------------------------------------\n// Main-thread side\n// ---------------------------------------------------------------------------\n\nexport interface TrainArgs {\n weights: Float32Array;\n features: Float32Array;\n labels: Float32Array;\n /** Optional; pass empty for uniform weighting. */\n sampleWeights: Float32Array;\n lr: number;\n maxIter: number;\n minErr: number;\n inputSize: number;\n outputSize: number;\n}\n\nexport interface TrainResult {\n loss: number;\n weights: Float32Array;\n lossHistory: Float32Array;\n}\n\nexport class WasmTrainer {\n private worker: Worker;\n private nextId = 1;\n private pending = new Map void; reject: (e: unknown) => void }>();\n private disposed = false;\n\n static async create(): Promise {\n const trainer = new WasmTrainer();\n await trainer.init_();\n return trainer;\n }\n\n private constructor() {\n this.worker = new Worker(new URL('./wasm-worker.ts', import.meta.url), { type: 'module' });\n this.worker.onmessage = (ev) => this.onMessage_(ev.data as WorkerResponse);\n this.worker.onerror = (ev) => {\n // Fail any pending requests.\n for (const { reject } of this.pending.values()) reject(ev.message ?? 'worker error');\n this.pending.clear();\n };\n }\n\n private init_(): Promise {\n return new Promise((resolve, reject) => {\n const handler = (ev: MessageEvent) => {\n const msg = ev.data as WorkerResponse;\n if (msg.kind === 'ready') {\n this.worker.removeEventListener('message', handler);\n resolve();\n } else if (msg.kind === 'error') {\n this.worker.removeEventListener('message', handler);\n reject(new Error(msg.message));\n }\n };\n this.worker.addEventListener('message', handler);\n const seed = (Date.now() ^ Math.floor(Math.random() * 0xffffffff)) >>> 0;\n this.worker.postMessage({ kind: 'init', seed } satisfies WorkerRequest);\n });\n }\n\n train(args: TrainArgs): Promise {\n if (this.disposed) return Promise.reject(new Error('WasmTrainer disposed'));\n const requestId = this.nextId++;\n return new Promise((resolve, reject) => {\n this.pending.set(requestId, { resolve, reject });\n const msg: WorkerRequest = {\n kind: 'train',\n requestId,\n weights: args.weights,\n features: args.features,\n labels: args.labels,\n sampleWeights: args.sampleWeights,\n lr: args.lr,\n maxIter: args.maxIter,\n minErr: args.minErr,\n inputSize: args.inputSize,\n outputSize: args.outputSize,\n };\n // Transfer all the typed-array buffers we no longer need on the\n // main thread; faster than copying. Caller has already cloned.\n this.worker.postMessage(msg, [\n args.weights.buffer,\n args.features.buffer,\n args.labels.buffer,\n args.sampleWeights.buffer,\n ]);\n });\n }\n\n dispose(): void {\n if (this.disposed) return;\n this.disposed = true;\n try {\n this.worker.postMessage({ kind: 'dispose' } satisfies WorkerRequest);\n } catch {\n /* ignore */\n }\n this.worker.terminate();\n for (const { reject } of this.pending.values()) reject(new Error('disposed'));\n this.pending.clear();\n }\n\n private onMessage_(msg: WorkerResponse): void {\n if (msg.kind === 'result') {\n const p = this.pending.get(msg.requestId);\n if (p) {\n this.pending.delete(msg.requestId);\n p.resolve({ loss: msg.loss, weights: msg.weights, lossHistory: msg.lossHistory });\n }\n } else if (msg.kind === 'error') {\n const p = this.pending.get(msg.requestId);\n if (p) {\n this.pending.delete(msg.requestId);\n p.reject(new Error(msg.message));\n }\n }\n // 'ready' handled in init_().\n }\n}\n\nexport function createTrainer(): Promise {\n return WasmTrainer.create();\n}\n\n// ---------------------------------------------------------------------------\n// Worker-thread side\n// ---------------------------------------------------------------------------\n//\n// When this module is loaded in a Worker, `self` is `WorkerGlobalScope` and\n// `window` is undefined. We use that as the dispatch.\n//\n// We import the wasm via a same-origin fetch (no DOM available so we can't\n// use a regular import URL — but Vite's bundler treats `new Worker(...)`\n// specially and `?url` imports work for assets).\n\n// Inside a Worker, `self` is a `DedicatedWorkerGlobalScope`. To keep TS\n// happy in both build contexts we use a structural cast.\ndeclare const self: {\n postMessage: (msg: unknown, transfer?: Transferable[]) => void;\n addEventListener: (event: string, handler: (ev: MessageEvent) => void) => void;\n location: { origin: string };\n importScripts?: unknown;\n};\n\nconst isWorker =\n typeof window === 'undefined' &&\n typeof self !== 'undefined' &&\n typeof (self as { importScripts?: unknown }).importScripts !== 'undefined';\n\nif (isWorker) {\n // Module-level state in worker scope.\n let mod: NispsModule | null = null;\n let mlHandle = 0;\n let weightCount = 0;\n\n // Heap buffers (allocated on first train).\n let weightsPtr = 0;\n let weightsViewLen = 0;\n let featuresPtr = 0;\n let featuresLen = 0;\n let labelsPtr = 0;\n let labelsLen = 0;\n let sampleWeightsPtr = 0;\n let sampleWeightsLen = 0;\n\n async function loadModule(seed: number): Promise {\n // Same-origin fetch to /nisps.js. The worker is served by the dev\n // server with COOP/COEP set, so this works.\n const factoryMod = await import(/* @vite-ignore */ new URL('/nisps.js', self.location.origin).toString());\n const factory: NispsModuleFactory =\n // eslint-disable-next-line @typescript-eslint/no-explicit-any\n (factoryMod as any).default ?? (factoryMod as any).createNispsModule;\n mod = await factory({\n locateFile: (path: string) => {\n if (path.endsWith('.wasm')) return new URL('/nisps.wasm', self.location.origin).toString();\n return path;\n },\n });\n mlHandle = mod._nisps_ml_create(0, 0, 0, 0, seed >>> 0);\n weightCount = mod._nisps_ml_weight_count(mlHandle);\n }\n\n function ensureBuffers(features: Float32Array, labels: Float32Array, sampleWeights: Float32Array, weights: Float32Array): void {\n if (!mod) throw new Error('worker module not loaded');\n\n if (weightsViewLen !== weightCount) {\n if (weightsPtr) mod._free(weightsPtr);\n weightsPtr = mod._malloc(weightCount * 4);\n weightsViewLen = weightCount;\n }\n if (features.length !== featuresLen) {\n if (featuresPtr) mod._free(featuresPtr);\n featuresPtr = mod._malloc(features.length * 4);\n featuresLen = features.length;\n }\n if (labels.length !== labelsLen) {\n if (labelsPtr) mod._free(labelsPtr);\n labelsPtr = mod._malloc(labels.length * 4);\n labelsLen = labels.length;\n }\n if (sampleWeights.length !== sampleWeightsLen) {\n if (sampleWeightsPtr) mod._free(sampleWeightsPtr);\n sampleWeightsPtr = sampleWeights.length > 0 ? mod._malloc(sampleWeights.length * 4) : 0;\n sampleWeightsLen = sampleWeights.length;\n }\n\n new Float32Array(mod.HEAPF32.buffer, weightsPtr, weightCount).set(weights);\n new Float32Array(mod.HEAPF32.buffer, featuresPtr, features.length).set(features);\n new Float32Array(mod.HEAPF32.buffer, labelsPtr, labels.length).set(labels);\n if (sampleWeightsPtr) {\n new Float32Array(mod.HEAPF32.buffer, sampleWeightsPtr, sampleWeights.length).set(sampleWeights);\n }\n }\n\n function trainOnce(req: Extract): WorkerResponse {\n if (!mod) {\n return { kind: 'error', requestId: req.requestId, message: 'worker not initialised' };\n }\n try {\n ensureBuffers(req.features, req.labels, req.sampleWeights, req.weights);\n // Push current weights into our MLP.\n mod._nisps_ml_set_weights(mlHandle, weightsPtr);\n\n // Seed the example ring buffer. 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UTF8Decoder.decode(heapOrArray.subarray(idx,endPtr))}var str="";while(idx>10,56320|ch&1023)}}return str};var UTF8ToString=(ptr,maxBytesToRead,ignoreNul)=>ptr?UTF8ArrayToString(HEAPU8,ptr,maxBytesToRead,ignoreNul):"";var ccall=(ident,returnType,argTypes,args,opts)=>{var toC={string:str=>{var ret=0;if(str!==null&&str!==undefined&&str!==0){ret=stringToUTF8OnStack(str)}return ret},array:arr=>{var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType==="string"){return UTF8ToString(ret)}if(returnType==="boolean")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i{var numericArgs=!argTypes||argTypes.every(type=>type==="number"||type==="boolean");var numericRet=returnType!=="string";if(numericRet&&numericArgs&&!opts){return getCFunc(ident)}return(...args)=>ccall(ident,returnType,argTypes,args,opts)};{if(Module["noExitRuntime"])noExitRuntime=Module["noExitRuntime"];if(Module["print"])out=Module["print"];if(Module["printErr"])err=Module["printErr"];if(Module["wasmBinary"])wasmBinary=Module["wasmBinary"];if(Module["arguments"])arguments_=Module["arguments"];if(Module["thisProgram"])thisProgram=Module["thisProgram"];if(Module["preInit"]){if(typeof Module["preInit"]=="function")Module["preInit"]=[Module["preInit"]];while(Module["preInit"].length>0){Module["preInit"].shift()()}}}Module["ccall"]=ccall;Module["cwrap"]=cwrap;var _nisps_ml_create,_nisps_ml_destroy,_nisps_ml_set_input,_nisps_ml_process,_nisps_ml_outputs,_nisps_ml_infer_batch,_nisps_ml_add_example,_nisps_ml_train,_nisps_ml_eval_loss,_nisps_ml_weight_count,_nisps_ml_get_weights,_nisps_ml_set_weights,_nisps_ml_draw_weights,_nisps_ml_move_weights,_nisps_ml_get_layer_stats,_nisps_ml_example_count,_nisps_ml_clear_examples,_nisps_ml_reset,_nisps_ml_describe,_nisps_engine_create,_nisps_engine_destroy,_nisps_engine_set_params,_nisps_engine_process_block,_malloc,_free,__emscripten_stack_restore,__emscripten_stack_alloc,_emscripten_stack_get_current,memory,__indirect_function_table,wasmMemory;function assignWasmExports(wasmExports){_nisps_ml_create=Module["_nisps_ml_create"]=wasmExports["e"];_nisps_ml_destroy=Module["_nisps_ml_destroy"]=wasmExports["f"];_nisps_ml_set_input=Module["_nisps_ml_set_input"]=wasmExports["g"];_nisps_ml_process=Module["_nisps_ml_process"]=wasmExports["h"];_nisps_ml_outputs=Module["_nisps_ml_outputs"]=wasmExports["i"];_nisps_ml_infer_batch=Module["_nisps_ml_infer_batch"]=wasmExports["j"];_nisps_ml_add_example=Module["_nisps_ml_add_example"]=wasmExports["k"];_nisps_ml_train=Module["_nisps_ml_train"]=wasmExports["l"];_nisps_ml_eval_loss=Module["_nisps_ml_eval_loss"]=wasmExports["m"];_nisps_ml_weight_count=Module["_nisps_ml_weight_count"]=wasmExports["n"];_nisps_ml_get_weights=Module["_nisps_ml_get_weights"]=wasmExports["o"];_nisps_ml_set_weights=Module["_nisps_ml_set_weights"]=wasmExports["p"];_nisps_ml_draw_weights=Module["_nisps_ml_draw_weights"]=wasmExports["q"];_nisps_ml_move_weights=Module["_nisps_ml_move_weights"]=wasmExports["r"];_nisps_ml_get_layer_stats=Module["_nisps_ml_get_layer_stats"]=wasmExports["s"];_nisps_ml_example_count=Module["_nisps_ml_example_count"]=wasmExports["t"];_nisps_ml_clear_examples=Module["_nisps_ml_clear_examples"]=wasmExports["u"];_nisps_ml_reset=Module["_nisps_ml_reset"]=wasmExports["v"];_nisps_ml_describe=Module["_nisps_ml_describe"]=wasmExports["w"];_nisps_engine_create=Module["_nisps_engine_create"]=wasmExports["x"];_nisps_engine_destroy=Module["_nisps_engine_destroy"]=wasmExports["y"];_nisps_engine_set_params=Module["_nisps_engine_set_params"]=wasmExports["z"];_nisps_engine_process_block=Module["_nisps_engine_process_block"]=wasmExports["A"];_malloc=Module["_malloc"]=wasmExports["B"];_free=Module["_free"]=wasmExports["C"];__emscripten_stack_restore=wasmExports["D"];__emscripten_stack_alloc=wasmExports["E"];_emscripten_stack_get_current=wasmExports["F"];memory=wasmMemory=wasmExports["c"];__indirect_function_table=wasmExports["__indirect_function_table"]}var wasmImports={a:__abort_js,b:_emscripten_resize_heap};function run(){preRun();function doRun(){Module["calledRun"]=true;if(ABORT)return;initRuntime();readyPromiseResolve?.(Module);Module["onRuntimeInitialized"]?.();postRun()}if(Module["setStatus"]){Module["setStatus"]("Running...");setTimeout(()=>{setTimeout(()=>Module["setStatus"](""),1);doRun()},1)}else{doRun()}}var wasmExports;wasmExports=await (createWasm());run();if(runtimeInitialized){moduleRtn=Module}else{moduleRtn=new Promise((resolve,reject)=>{readyPromiseResolve=resolve;readyPromiseReject=reject})} -;return moduleRtn}})();if(typeof exports==="object"&&typeof module==="object"){module.exports=createNispsModule;module.exports.default=createNispsModule}else if(typeof define==="function"&&define["amd"])define([],()=>createNispsModule); diff --git a/playground/dist/nisps.wasm b/playground/dist/nisps.wasm deleted file mode 100755 index 1eecd696149741a8513c5e28ccc39c78688be0a9..0000000000000000000000000000000000000000 GIT binary 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t^aUJ0yy)d94lim|)f+HcxpQ_Ths_Jm^#r6gSDwBb8wVYH4FRJ9{vQ_m?y3L) diff --git a/playwright.config.js b/playwright.config.js deleted file mode 100644 index be794e9..0000000 --- a/playwright.config.js +++ /dev/null @@ -1,27 +0,0 @@ -const { defineConfig } = require('@playwright/test'); - -module.exports = defineConfig({ - testDir: './tests/e2e', - timeout: 30_000, - expect: { timeout: 10_000 }, - use: { - baseURL: 'http://localhost:7331', - headless: true, - // WASM + AudioContext require a stable origin - ignoreHTTPSErrors: true, - }, - // Start a static file server against the playground/ dir before tests run. - // python3 -m http.server serves directory listings and static assets fine. - // WASM files need correct MIME type — Python's server handles .wasm correctly. - webServer: { - command: 'python3 -m http.server 7331', - cwd: './playground', - url: 'http://localhost:7331', - reuseExistingServer: true, - timeout: 10_000, - }, - projects: [ - { name: 'chromium', use: { browserName: 'chromium' } }, - ], - reporter: [['list'], ['html', { open: 'never' }]], -}); diff --git a/tests/e2e/engine-switching.spec.js b/tests/e2e/engine-switching.spec.js deleted file mode 100644 index 2151c7e..0000000 --- a/tests/e2e/engine-switching.spec.js +++ /dev/null @@ -1,420 +0,0 @@ -/** - * Engine switching e2e tests — verify that all three synth engines - * (C15 Shaper-Feedback, Additive, FM Matrix) can be selected, initialised, - * and driven by the NISPS ML engine correctly. - * - * Also tests the EOC chain integration across engine switches. - */ -const { test, expect } = require('@playwright/test'); -const { loadApp, statusText } = require('./helpers'); - -// Engine metadata expected from the switcher -const ENGINES = { - 'shaper-feedback': { displayName: 'C15 Shaper-Feedback', paramCount: 126 }, - 'additive': { displayName: 'Additive', paramCount: 48 }, - 'fm': { displayName: 'FM Matrix', paramCount: 55 }, -}; - -/** - * Helper: switch to an engine via the engine switcher UI. - * Opens the synth drawer, clicks the engine card, accepts any confirm dialog. - */ -async function switchEngine(page, engineId) { - // Open synth drawer if not already open - const drawer = page.locator('#drawer-synth'); - if (await drawer.evaluate(el => el.classList.contains('hidden'))) { - await page.click('[data-drawer="synth"]'); - } - // Click the engine card - page.once('dialog', dialog => dialog.accept()); - await page.click(`.engine-card[data-engine-id="${engineId}"]`); - // Wait for the switcher to mark it active - await expect(page.locator(`.engine-card[data-engine-id="${engineId}"]`)).toHaveClass(/active/, { timeout: 15_000 }); -} - -/** - * Helper: get the current engine id from the debug probe. - */ -async function getActiveEngineId(page) { - return page.evaluate(() => window.__nisps?.activeEngine?.id ?? null); -} - -/** - * Helper: get the current MLP output count. - */ -async function getOutputCount(page) { - return page.evaluate(() => window.__nisps?.getOutputs()?.length ?? 0); -} - -// --------------------------------------------------------------------------- -// Expose activeEngine on the debug probe so tests can query it -// --------------------------------------------------------------------------- - -test.describe('Engine switching', () => { - - test.beforeEach(async ({ page }) => { - await loadApp(page); - // Extend the debug probe with engine-related getters - await page.evaluate(() => { - if (window.__nisps) { - // These are closures over the module-scoped vars in a-app.js, - // but we can read them via the existing probe's eocChain and other refs. - // The probe already exposes getOutputs() which reflects N_OUTPUTS. - } - }); - }); - - test.describe('Default state', () => { - test('default engine is C15 Shaper-Feedback', async ({ page }) => { - const btnText = await page.locator('#synth-mode-btn').textContent(); - // The synth mode button should reflect the default engine (may say "Synth" or the engine name) - expect(btnText).toBeTruthy(); - }); - - test('default output count is 126 (C15)', async ({ page }) => { - const count = await getOutputCount(page); - // Default mode is visual (20 outputs), not synth - // Switch to synth mode first - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(500); - const synthCount = await getOutputCount(page); - expect(synthCount).toBe(126); - }); - - test('heatmap shows 126 cells in synth mode', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(500); - const cellCount = await page.locator('#heatmap-cells .heatmap-cell').count(); - expect(cellCount).toBe(126); - }); - }); - - test.describe('Engine switcher UI', () => { - test('synth drawer contains engine cards', async ({ page }) => { - await page.click('[data-drawer="synth"]'); - const cards = page.locator('.engine-card'); - // C15 shaper-feedback, additive, fm, modular - await expect(cards).toHaveCount(4); - }); - - test('C15 card is active by default', async ({ page }) => { - await page.click('[data-drawer="synth"]'); - const c15Card = page.locator('.engine-card[data-engine-id="shaper-feedback"]'); - await expect(c15Card).toHaveClass(/active/); - }); - - test('additive and FM cards are not active by default', async ({ page }) => { - await page.click('[data-drawer="synth"]'); - await expect(page.locator('.engine-card[data-engine-id="additive"]')).not.toHaveClass(/active/); - await expect(page.locator('.engine-card[data-engine-id="fm"]')).not.toHaveClass(/active/); - }); - }); - - test.describe('Switch to Additive engine', () => { - test('switching resizes MLP to 48 outputs', async ({ page }) => { - // Go to synth mode first - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - // Switch engine - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - - const count = await getOutputCount(page); - expect(count).toBe(48); - }); - - test('heatmap rebuilds with 48 cells', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - - const cellCount = await page.locator('#heatmap-cells .heatmap-cell').count(); - expect(cellCount).toBe(48); - }); - - test('outputs are bounded [0, 1]', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - - const outputs = await page.evaluate(() => window.__nisps.getOutputs()); - expect(outputs).toHaveLength(48); - for (const v of outputs) { - expect(v).toBeGreaterThanOrEqual(0); - expect(v).toBeLessThanOrEqual(1); - } - }); - - test('different inputs produce different outputs', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - - const out1 = await page.evaluate(() => { - window.__nisps.setInputs(0.1, 0.1); - return window.__nisps.getOutputs(); - }); - const out2 = await page.evaluate(() => { - window.__nisps.setInputs(0.9, 0.9); - return window.__nisps.getOutputs(); - }); - const anyDiff = out1.some((v, i) => Math.abs(v - out2[i]) > 0.001); - expect(anyDiff).toBe(true); - }); - - test('training works with additive param count', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - - const loss = await page.evaluate(() => { - const nisps = window.__nisps; - // Add two contrasting examples - nisps.iml.addExample([0.1, 0.1], new Array(48).fill(0.2)); - nisps.iml.addExample([0.9, 0.9], new Array(48).fill(0.8)); - return nisps.train(); - }); - expect(loss).toBeGreaterThanOrEqual(0); - expect(loss).toBeLessThan(1); - }); - }); - - test.describe('Switch to FM Matrix engine', () => { - test('switching resizes MLP to 55 outputs', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - await switchEngine(page, 'fm'); - await page.waitForTimeout(500); - - const count = await getOutputCount(page); - expect(count).toBe(55); - }); - - test('heatmap rebuilds with 55 cells', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - await switchEngine(page, 'fm'); - await page.waitForTimeout(500); - - const cellCount = await page.locator('#heatmap-cells .heatmap-cell').count(); - expect(cellCount).toBe(55); - }); - - test('outputs are bounded [0, 1]', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await switchEngine(page, 'fm'); - await page.waitForTimeout(500); - - const outputs = await page.evaluate(() => window.__nisps.getOutputs()); - expect(outputs).toHaveLength(55); - for (const v of outputs) { - expect(v).toBeGreaterThanOrEqual(0); - expect(v).toBeLessThanOrEqual(1); - } - }); - - test('training works with FM param count', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await switchEngine(page, 'fm'); - await page.waitForTimeout(500); - - const loss = await page.evaluate(() => { - const nisps = window.__nisps; - nisps.iml.addExample([0.2, 0.8], new Array(55).fill(0.3)); - nisps.iml.addExample([0.8, 0.2], new Array(55).fill(0.7)); - return nisps.train(); - }); - expect(loss).toBeGreaterThanOrEqual(0); - expect(loss).toBeLessThan(1); - }); - }); - - test.describe('Round-trip switching', () => { - test('switching C15 → Additive → C15 restores 126 outputs', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - // Switch to additive - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - expect(await getOutputCount(page)).toBe(48); - - // Switch back to C15 - await switchEngine(page, 'shaper-feedback'); - await page.waitForTimeout(500); - expect(await getOutputCount(page)).toBe(126); - }); - - test('switching C15 → FM → Additive → C15 restores correctly each time', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - await switchEngine(page, 'fm'); - await page.waitForTimeout(500); - expect(await getOutputCount(page)).toBe(55); - - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - expect(await getOutputCount(page)).toBe(48); - - await switchEngine(page, 'shaper-feedback'); - await page.waitForTimeout(500); - expect(await getOutputCount(page)).toBe(126); - }); - }); - - test.describe('Warm-start weight preservation', () => { - test('hidden layer weights are preserved across resize', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - // Get weights before switch (first 100 hidden-layer weights) - const beforeWeights = await page.evaluate(() => { - return window.__nisps.getWeights().slice(0, 100); - }); - - // Switch to additive (48 outputs, hidden layers unchanged) - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - - // Get weights after — first 100 should be identical (hidden layer prefix) - const afterWeights = await page.evaluate(() => { - return window.__nisps.getWeights().slice(0, 100); - }); - - // Hidden layer weights should be preserved (warm-start) - let matchCount = 0; - for (let i = 0; i < 100; i++) { - if (Math.abs(beforeWeights[i] - afterWeights[i]) < 1e-6) matchCount++; - } - // Allow some tolerance — at least 90% should match - expect(matchCount).toBeGreaterThan(90); - }); - }); - - test.describe('EOC chain across engine switches', () => { - test('EOC drawer is accessible from all engines', async ({ page }) => { - // Open EOC drawer with default C15 - await page.click('[data-drawer="eoc"]'); - await expect(page.locator('#drawer-eoc')).not.toHaveClass(/hidden/); - - // Switch to additive - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - - // EOC drawer should still be accessible — engine switch may have closed it - // so click the dock icon; if already open, clicking toggles closed then re-open - const eocDrawer = page.locator('#drawer-eoc'); - if (await eocDrawer.evaluate(el => el.classList.contains('hidden'))) { - await page.click('[data-drawer="eoc"]'); - } - await expect(eocDrawer).not.toHaveClass(/hidden/); - }); - - test('NISPS mode selector is present in EOC drawer', async ({ page }) => { - await page.click('[data-drawer="eoc"]'); - const modeButtons = page.locator('.eoc-nisps-bar .pill-opt'); - const count = await modeButtons.count(); - expect(count).toBe(4); // Bypass, Shared, Linked, Independent - }); - }); - - test.describe('SynthVisualizer with different engines', () => { - test('synth-vis-canvas is visible in synth mode for all engines', async ({ page }) => { - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - // Check canvas is visible for C15 - const canvas = page.locator('#synth-vis-canvas'); - await expect(canvas).toBeVisible(); - - // Switch to additive — canvas should remain visible - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - await expect(canvas).toBeVisible(); - - // Switch to FM — canvas should remain visible - await switchEngine(page, 'fm'); - await page.waitForTimeout(500); - await expect(canvas).toBeVisible(); - }); - }); - - test.describe('No console errors during engine switch', () => { - test('switching to additive produces no errors', async ({ page }) => { - const errors = []; - page.on('pageerror', err => errors.push(err.message)); - - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - await switchEngine(page, 'additive'); - await page.waitForTimeout(1000); - - // Filter out known non-critical errors - const critical = errors.filter(e => - !e.includes('ResizeObserver') && !e.includes('net::ERR') - ); - expect(critical).toEqual([]); - }); - - test('switching to FM produces no errors', async ({ page }) => { - const errors = []; - page.on('pageerror', err => errors.push(err.message)); - - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - await switchEngine(page, 'fm'); - await page.waitForTimeout(1000); - - const critical = errors.filter(e => - !e.includes('ResizeObserver') && !e.includes('net::ERR') - ); - expect(critical).toEqual([]); - }); - - test('round-trip switching produces no errors', async ({ page }) => { - const errors = []; - page.on('pageerror', err => errors.push(err.message)); - - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.waitForTimeout(300); - - await switchEngine(page, 'additive'); - await page.waitForTimeout(500); - await switchEngine(page, 'fm'); - await page.waitForTimeout(500); - await switchEngine(page, 'shaper-feedback'); - await page.waitForTimeout(500); - - const critical = errors.filter(e => - !e.includes('ResizeObserver') && !e.includes('net::ERR') - ); - expect(critical).toEqual([]); - }); - }); -}); diff --git a/tests/e2e/helpers.js b/tests/e2e/helpers.js deleted file mode 100644 index 1a1b319..0000000 --- a/tests/e2e/helpers.js +++ /dev/null @@ -1,32 +0,0 @@ -/** - * Shared helpers for e2e tests. - */ -const { expect } = require('@playwright/test'); - -/** - * Navigate to a-immersive with ?debug=1 and wait for the WASM engine to - * initialise and expose window.__nisps. - * - * @param {import('@playwright/test').Page} page - * @param {string} extraParams - additional query string, e.g. '&preset=beginner-1' - */ -async function loadApp(page, extraParams = '') { - // Clear app state but mark help as seen so the overlay doesn't block clicks. - await page.addInitScript(() => { - localStorage.removeItem('nisps-a-immersive'); - localStorage.setItem('nisps-help-seen', '1'); - }); - await page.goto(`/a-immersive.html?debug=1${extraParams}`); - // Wait until the debug probe is ready (WASM init is async). - await page.waitForFunction(() => window.__nisps !== undefined, { timeout: 20_000 }); -} - -/** - * Returns the current text content of the status line. - * @param {import('@playwright/test').Page} page - */ -async function statusText(page) { - return page.locator('#status-text').textContent(); -} - -module.exports = { loadApp, statusText }; diff --git a/tests/e2e/input-pipeline.spec.js b/tests/e2e/input-pipeline.spec.js deleted file mode 100644 index c099a30..0000000 --- a/tests/e2e/input-pipeline.spec.js +++ /dev/null @@ -1,110 +0,0 @@ -/** - * Input pipeline tests — joystick → MLP inputs → outputs → heatmap. - */ -const { test, expect } = require('@playwright/test'); -const { loadApp } = require('./helpers'); - -test.describe('Joystick → output pipeline', () => { - test('different input positions produce different outputs', async ({ page }) => { - await loadApp(page); - - await page.evaluate(() => window.__nisps.setInputs(0.1, 0.1)); - const out1 = await page.evaluate(() => window.__nisps.getOutputs()); - - await page.evaluate(() => window.__nisps.setInputs(0.9, 0.9)); - const out2 = await page.evaluate(() => window.__nisps.getOutputs()); - - const anyChanged = out1.some((v, i) => Math.abs(v - out2[i]) > 0.0001); - expect(anyChanged).toBe(true); - }); - - test('all outputs remain in [0, 1] across input positions', async ({ page }) => { - await loadApp(page); - const corners = [[0, 0], [0, 1], [1, 0], [1, 1], [0.5, 0.5]]; - for (const [x, y] of corners) { - await page.evaluate(([x, y]) => window.__nisps.setInputs(x, y), [x, y]); - const outputs = await page.evaluate(() => window.__nisps.getOutputs()); - for (const v of outputs) { - expect(v).toBeGreaterThanOrEqual(0); - expect(v).toBeLessThanOrEqual(1); - } - } - }); - - test('heatmap bar widths change when inputs change', async ({ page }) => { - await loadApp(page); - - const widths1 = await page.evaluate(() => - Array.from(document.querySelectorAll('.heatmap-cell-bar')).map(el => el.style.width) - ); - - // Move to far corner - await page.evaluate(() => window.__nisps.setInputs(0.95, 0.05)); - - const widths2 = await page.evaluate(() => - Array.from(document.querySelectorAll('.heatmap-cell-bar')).map(el => el.style.width) - ); - - const anyChanged = widths1.some((w, i) => w !== widths2[i]); - expect(anyChanged).toBe(true); - }); - - test('mouse drag on joystick container updates MLP inputs', async ({ page }) => { - await loadApp(page); - - const box = await page.locator('#joystick-container').boundingBox(); - const cx = box.x + box.width / 2; - const cy = box.y + box.height / 2; - - // Drag from center towards bottom-right - await page.mouse.move(cx, cy); - await page.mouse.down(); - await page.mouse.move(cx + box.width * 0.3, cy + box.height * 0.3, { steps: 10 }); - await page.mouse.up(); - - // After drag, at least one input axis should have moved from 0.5 - const [x, y] = await page.evaluate(() => [ - window.__nisps.iml.inputState[0], - window.__nisps.iml.inputState[1], - ]); - const moved = Math.abs(x - 0.5) > 0.01 || Math.abs(y - 0.5) > 0.01; - expect(moved).toBe(true); - }); - - test('setInputs clamps values to [0, 1]', async ({ page }) => { - await loadApp(page); - await page.evaluate(() => window.__nisps.setInputs(-5, 99)); - const [x, y] = await page.evaluate(() => [ - window.__nisps.iml.inputState[0], - window.__nisps.iml.inputState[1], - ]); - expect(x).toBeGreaterThanOrEqual(0); - expect(x).toBeLessThanOrEqual(1); - expect(y).toBeGreaterThanOrEqual(0); - expect(y).toBeLessThanOrEqual(1); - }); - - test('after training, moving inputs produces smoothly varying outputs', async ({ page }) => { - await loadApp(page); - - // Load calm-to-chaotic preset (3 examples spanning the input space) - await page.click('[data-drawer="training"]'); - await page.click('[data-preset="calm-to-chaotic"]'); - await page.waitForFunction( - () => document.getElementById('status-text').textContent.includes('loss'), - { timeout: 15_000 } - ); - - // Sample 5 positions and verify all outputs are bounded - const positions = [0.0, 0.25, 0.5, 0.75, 1.0]; - for (const t of positions) { - await page.evaluate((t) => window.__nisps.setInputs(t, 1 - t), t); - const outputs = await page.evaluate(() => window.__nisps.getOutputs()); - expect(outputs).toHaveLength(126); - for (const v of outputs) { - expect(v).toBeGreaterThanOrEqual(0); - expect(v).toBeLessThanOrEqual(1); - } - } - }); -}); diff --git a/tests/e2e/ml-engine.spec.js b/tests/e2e/ml-engine.spec.js deleted file mode 100644 index 17fa358..0000000 --- a/tests/e2e/ml-engine.spec.js +++ /dev/null @@ -1,170 +0,0 @@ -/** - * ML engine sanity tests — verify the WASM IML behaves correctly: - * - outputs are always bounded [0, 1] - * - randomize produces different outputs - * - thumbs-up captures the current rawParamValues as the training label - * - training completes and produces a finite loss - * - thumbs-down moves weights and changes outputs - * - async training (triggered by thumbs-up) updates the status line - */ -const { test, expect } = require('@playwright/test'); -const { loadApp, statusText } = require('./helpers'); - -// Two contrasting examples with known inputs and all-low / all-high targets. -const EXAMPLE_LOW = { input: [0.1, 0.9], output: new Array(126).fill(0.1) }; -const EXAMPLE_HIGH = { input: [0.9, 0.1], output: new Array(126).fill(0.9) }; - -test.describe('ML engine (WASM IML)', () => { - test('probe is exposed after WASM init', async ({ page }) => { - await loadApp(page); - const probe = await page.evaluate(() => typeof window.__nisps); - expect(probe).toBe('object'); - }); - - test('initial outputs are all in [0, 1]', async ({ page }) => { - await loadApp(page); - const outputs = await page.evaluate(() => window.__nisps.getOutputs()); - expect(outputs).toHaveLength(126); - for (const v of outputs) { - expect(v).toBeGreaterThanOrEqual(0); - expect(v).toBeLessThanOrEqual(1); - } - }); - - test('initial state is 0 examples, untrained', async ({ page }) => { - await loadApp(page); - const count = await page.evaluate(() => window.__nisps.getExampleCount()); - expect(count).toBe(0); - const loss = await page.evaluate(() => window.__nisps.getLoss()); - expect(loss).toBeNull(); - }); - - test('randomize changes outputs', async ({ page }) => { - await loadApp(page); - const before = await page.evaluate(() => window.__nisps.getOutputs()); - await page.evaluate(() => window.__nisps.randomise()); - const after = await page.evaluate(() => window.__nisps.getOutputs()); - const anyChanged = before.some((v, i) => Math.abs(v - after[i]) > 0.001); - expect(anyChanged).toBe(true); - }); - - test('thumbs-up increments example count by 1', async ({ page }) => { - await loadApp(page); - await page.evaluate(() => window.__nisps.thumbsUp()); - // Give async training a moment to start but we only need to check example count - await page.waitForTimeout(100); - const count = await page.evaluate(() => window.__nisps.getExampleCount()); - expect(count).toBe(1); - }); - - test('thumbs-up captures current input position and all 126 output values', async ({ page }) => { - await loadApp(page); - // Set a known joystick position via the probe - await page.evaluate(() => window.__nisps.setInputs(0.25, 0.75)); - await page.evaluate(() => window.__nisps.thumbsUp()); - await page.waitForTimeout(100); - - const { features, labels } = await page.evaluate(() => ({ - features: window.__nisps.iml.dataset.features, - labels: window.__nisps.iml.dataset.labels, - })); - - expect(features).toHaveLength(1); - expect(labels).toHaveLength(1); - - // Input dimension = 2 (joystick x/y, pipeline-processed) - expect(features[0]).toHaveLength(2); - // The input pipeline may transform values; inputs must stay in [0, 1] - expect(features[0][0]).toBeGreaterThanOrEqual(0); - expect(features[0][0]).toBeLessThanOrEqual(1); - expect(features[0][1]).toBeGreaterThanOrEqual(0); - expect(features[0][1]).toBeLessThanOrEqual(1); - - // Labels = all 126 output values, captured from rawParamValues at click time - expect(labels[0]).toHaveLength(126); - for (const v of labels[0]) { - expect(v).toBeGreaterThanOrEqual(0); - expect(v).toBeLessThanOrEqual(1); - } - }); - - test('sync train() returns a finite non-negative loss', async ({ page }) => { - await loadApp(page); - await page.evaluate(([low, high]) => { - window.__nisps.iml.addExample(low.input, low.output); - window.__nisps.iml.addExample(high.input, high.output); - }, [EXAMPLE_LOW, EXAMPLE_HIGH]); - - const loss = await page.evaluate(() => window.__nisps.train()); - expect(typeof loss).toBe('number'); - expect(isFinite(loss)).toBe(true); - expect(loss).toBeGreaterThanOrEqual(0); - }); - - test('training with contrasting examples produces a lower loss than initial', async ({ page }) => { - await loadApp(page); - // Initial inference — loss is null (never trained), so randomise to get a baseline - await page.evaluate(() => window.__nisps.randomise()); - - await page.evaluate(([low, high]) => { - window.__nisps.iml.addExample(low.input, low.output); - window.__nisps.iml.addExample(high.input, high.output); - }, [EXAMPLE_LOW, EXAMPLE_HIGH]); - - const loss1 = await page.evaluate(() => window.__nisps.train()); - const loss2 = await page.evaluate(() => window.__nisps.train()); - - // Second training run on same data should converge further (loss2 <= loss1) - expect(loss2).toBeLessThanOrEqual(loss1 + 1e-6); - }); - - test('status line reflects example count and loss after training', async ({ page }) => { - await loadApp(page); - await page.evaluate(([low, high]) => { - window.__nisps.iml.addExample(low.input, low.output); - window.__nisps.iml.addExample(high.input, high.output); - window.__nisps.train(); - }, [EXAMPLE_LOW, EXAMPLE_HIGH]); - - // updateStatus() is called inside trainModel() - const text = await page.locator('#status-text').textContent(); - expect(text).toContain('2 examples'); - expect(text).toContain('loss'); - }); - - test('thumbs-down changes outputs (weight noise)', async ({ page }) => { - await loadApp(page); - const before = await page.evaluate(() => window.__nisps.getOutputs()); - await page.evaluate(() => window.__nisps.thumbsDown()); - const after = await page.evaluate(() => window.__nisps.getOutputs()); - const anyChanged = before.some((v, i) => Math.abs(v - after[i]) > 0.0001); - expect(anyChanged).toBe(true); - }); - - test('async training via thumbs-up button updates status with loss', async ({ page }) => { - await loadApp(page); - await page.click('#btn-thumbsup'); - // Wait for the async training to complete and status to update - await page.waitForFunction( - () => document.getElementById('status-text').textContent.includes('loss'), - { timeout: 15_000 } - ); - const text = await page.locator('#status-text').textContent(); - expect(text).toContain('1 example'); - expect(text).toContain('loss'); - }); - - test('clear examples resets to 0 and marks untrained', async ({ page }) => { - await loadApp(page); - await page.evaluate(([low]) => { - window.__nisps.iml.addExample(low.input, low.output); - window.__nisps.train(); - }, [EXAMPLE_LOW]); - expect(await page.evaluate(() => window.__nisps.getExampleCount())).toBe(1); - - await page.evaluate(() => window.__nisps.clearExamples()); - expect(await page.evaluate(() => window.__nisps.getExampleCount())).toBe(0); - const text = await page.locator('#status-text').textContent(); - expect(text).toContain('0 examples'); - }); -}); diff --git a/tests/e2e/modular-mode.spec.js b/tests/e2e/modular-mode.spec.js deleted file mode 100644 index 10a0c2e..0000000 --- a/tests/e2e/modular-mode.spec.js +++ /dev/null @@ -1,294 +0,0 @@ -/** - * Modular mode e2e tests. - * - * These tests exercise the modular engine end-to-end via the debug probe - * (?debug=1, window.__nisps). - * - * NB: modular paramMeta = 4 ADSR × 4 + 8 LFO × 2 + 48 × 10 matrix = 512. - * Every matrix cell is in paramMeta so `modular-ui.updateLive()` can - * mirror live MLP outputs into the matrix DOM. Silence-on-joystick - * regressions are prevented at the DSP level: each sub-engine's - * `amp_val = clamp(base_amp + max(0, mod_amp))`, so matrix d08_amp - * cells can only add to the amp floor and base_amp=1.0 (default) - * keeps the voice audible regardless of what the MLP outputs. - */ -const { test, expect } = require('@playwright/test'); -const { loadApp } = require('./helpers'); - -/** - * Switch the active engine to `modular` via the engine-switcher UI. - * Waits until window.__nisps.activeEngineId === 'modular'. - */ -async function switchToModular(page) { - // Open the synth drawer first (needed to see the engine cards). - const drawer = page.locator('#drawer-synth'); - if (await drawer.evaluate(el => el.classList.contains('hidden'))) { - await page.click('[data-drawer="synth"]'); - } - page.once('dialog', d => d.accept()); - await page.click('.engine-card[data-engine-id="modular"]'); - // Wait until setActiveEngine completes AND the modular dock icon becomes - // visible — the dock icon is revealed from the tail end of setActiveEngine - // so this guarantees the initial modular-ui.refresh() restore pass has run. - // Without this we race: test code can fire before modularUI.show() - // reaches refresh()'s pendingRestore branch, which then wipes the test's - // subsequent sub-engine swap. - await page.waitForFunction( - () => window.__nisps?.activeEngineId === 'modular', - null, - { timeout: 20_000 } - ); - await page.waitForFunction( - () => !document.querySelector('.dock-icon[data-drawer="modular"]')?.classList.contains('hidden'), - null, - { timeout: 20_000 } - ); - // Also yield one extra microtask so any synchronous deferred work queued - // inside setActiveEngine settles before we start poking the engine. - await page.evaluate(() => new Promise(r => setTimeout(r, 0))); -} - -test.describe('Modular mode', () => { - - test('switching to modular yields paramCount = 512', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - const count = await page.evaluate(() => window.__nisps.paramCount); - // 4 ADSR × (attack, decay, sustain, release) = 16 - // 8 LFO × (rate, morph) = 16 - // 48 × 10 matrix cells = 480 - expect(count).toBe(512); - }); - - test('matrix cells are in paramMeta so modular-ui updateLive can read them', async ({ page }) => { - // Regression guard: modular-ui.js `updateLive()` depends on every - // matrix cell being present in paramMeta so it can map MLP output - // indices to cell DOM. A previous fix that gated matrix cells on - // an opt-in flag broke the matrix UI's live visualisation when the - // joystick moved. If this test fails, inspect _rebuildParamMeta(). - await loadApp(page); - await switchToModular(page); - const info = await page.evaluate(() => { - const meta = window.__nisps.activeEngine.paramMeta; - const matrix = meta.filter(m => m.group && m.group.startsWith('Matrix/')); - const destBuckets = {}; - for (const m of matrix) { - const d = m.group.split('/')[1]; - destBuckets[d] = (destBuckets[d] || 0) + 1; - } - return { total: meta.length, matrixCount: matrix.length, destBuckets }; - }); - expect(info.total).toBe(512); - expect(info.matrixCount).toBe(480); - // 10 destinations × 48 sources each - expect(Object.keys(info.destBuckets).length).toBe(10); - for (const count of Object.values(info.destBuckets)) { - expect(count).toBe(48); - } - }); - - test('debug probe exposes modular hooks', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - const hooks = await page.evaluate(() => ({ - hasGet: typeof window.__nisps.getModularState === 'function', - hasSet: typeof window.__nisps.setModularState === 'function', - hasSwap: typeof window.__nisps.setModularSubEngine === 'function', - hasPreset: typeof window.__nisps.applyModularPreset === 'function', - hasCounts: typeof window.__nisps.setModularSourceCount === 'function', - presetList: window.__nisps.listModularPresets?.()?.length ?? 0, - })); - expect(hooks.hasGet).toBe(true); - expect(hooks.hasSet).toBe(true); - expect(hooks.hasSwap).toBe(true); - expect(hooks.hasPreset).toBe(true); - expect(hooks.hasCounts).toBe(true); - expect(hooks.presetList).toBe(6); - }); - - test('sub-engine swap keeps paramCount = 512', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - - for (const sub of ['additive', 'fm', 'subtractive']) { - await page.evaluate(async (id) => { - await window.__nisps.setModularSubEngine(id); - }, sub); - const info = await page.evaluate(() => ({ - paramCount: window.__nisps.paramCount, - subId: window.__nisps.activeEngine?.activeSubEngineId, - })); - expect(info.subId).toBe(sub); - expect(info.paramCount).toBe(512); - } - }); - - test('destNames differ between sub-engines', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - const sub = await page.evaluate(() => window.__nisps.activeEngine?.destNames); - await page.evaluate(async () => { - await window.__nisps.setModularSubEngine('fm'); - }); - const fm = await page.evaluate(() => window.__nisps.activeEngine?.destNames); - expect(sub).toBeTruthy(); - expect(fm).toBeTruthy(); - expect(sub).toEqual(['pitch','osc2_detune','osc3_detune','osc_mix_bal','noise_level','cutoff','resonance','filter_env_amt','amp','pan']); - expect(fm[1]).toBe('op1_level'); // fm-specific - expect(sub).not.toEqual(fm); - }); - - test('ADSR count change rebuilds paramMeta', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - - const baseline = await page.evaluate(() => window.__nisps.paramCount); - expect(baseline).toBe(512); - - await page.evaluate(() => window.__nisps.setModularSourceCount(6, 8)); - const after = await page.evaluate(() => window.__nisps.paramCount); - // 6 ADSR × 4 + 8 LFO × 2 + 48 × 10 = 24 + 16 + 480 = 520 - expect(after).toBe(520); - - await page.evaluate(() => window.__nisps.setModularSourceCount(4, 8)); - const reset = await page.evaluate(() => window.__nisps.paramCount); - expect(reset).toBe(512); - }); - - test('getState returns a snapshot with raw dsp values', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - const snap = await page.evaluate(() => window.__nisps.getModularState()); - expect(snap).toBeTruthy(); - expect(snap.version).toBe(1); - expect(snap.subEngine).toBe('subtractive'); - expect(typeof snap.dsp).toBe('object'); - // Default patch pre-arms ADSR1 but does not route it to amp — voice - // stays audible because base_amp defaults to 1.0. - expect(snap.dsp['MM_ADSR/00_adsr01_enable']).toBeCloseTo(1.0, 4); - expect(snap.dsp['4_Master/04_base_amp']).toBeCloseTo(1.0, 4); - }); - - test('matrix cell persistence across setState', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - - // Pick a distinctive cell: ADSR2 (s=1) → cutoff (d=5) on subtractive. - await page.evaluate(() => { - const engine = window.__nisps.activeEngine; - const idx = engine.paramMeta.findIndex(m => - m.label === 'MM_Matrix/s01_d05_cutoff'); - if (idx < 0) throw new Error('no s01_d05_cutoff cell in paramMeta'); - // paramMeta min=-1 max=1; 0.9 in norm = 0.8 raw. - engine.setParam(idx, 0.9); - }); - - const snap = await page.evaluate(() => window.__nisps.getModularState()); - expect(snap.dsp['MM_Matrix/s01_d05_cutoff']).toBeCloseTo(0.8, 4); - - // Mutate further, then restore. - await page.evaluate(() => { - const engine = window.__nisps.activeEngine; - const idx = engine.paramMeta.findIndex(m => - m.label === 'MM_Matrix/s01_d05_cutoff'); - engine.setParam(idx, 0.1); - }); - - const midSnap = await page.evaluate(() => window.__nisps.getModularState()); - expect(midSnap.dsp['MM_Matrix/s01_d05_cutoff']).not.toBeCloseTo(0.8, 4); - - await page.evaluate(async (s) => { - await window.__nisps.setModularState(s); - }, snap); - - const restored = await page.evaluate(() => window.__nisps.getModularState()); - expect(restored.dsp['MM_Matrix/s01_d05_cutoff']).toBeCloseTo(0.8, 4); - }); - - test('modular DSP state survives a page reload', async ({ page }) => { - // NOTE: don't use loadApp() because it installs an addInitScript that - // clears nisps-a-immersive on every navigation — including our reload. - // Replicate loadApp's bootstrap inline, using a localStorage sentinel - // (NOT window.__x) so the "first nav only" guard survives subsequent - // navigations on the same origin. - await page.addInitScript(() => { - if (!localStorage.getItem('__nisps-test-bootstrapped')) { - localStorage.setItem('__nisps-test-bootstrapped', '1'); - localStorage.removeItem('nisps-a-immersive'); - } - localStorage.setItem('nisps-help-seen', '1'); - }); - await page.goto('/a-immersive.html?debug=1'); - await page.waitForFunction(() => window.__nisps !== undefined, { timeout: 20_000 }); - - await switchToModular(page); - - // Set a distinctive value, save, then reload the page (localStorage - // is now preserved across the nav because __nispsTestBootstrapped is set). - await page.evaluate(() => { - const engine = window.__nisps.activeEngine; - engine._setRawByLabel('3_Filter/01_resonance', 0.73); - }); - await page.evaluate(() => window.__nisps.saveState()); - - await page.goto('/a-immersive.html?debug=1'); - await page.waitForFunction(() => window.__nisps !== undefined, { timeout: 20_000 }); - - // Engine is deferred-constructed; clicking the modular card re-instantiates - // it and the pending DSP state should be applied before setActiveEngine. - await switchToModular(page); - - const restored = await page.evaluate(() => window.__nisps.getModularState()); - expect(restored).toBeTruthy(); - expect(restored.dsp['3_Filter/01_resonance']).toBeCloseTo(0.73, 4); - }); - - test('preset apply: plucky bass sets the expected matrix routes', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - - const ok = await page.evaluate(async () => { - return await window.__nisps.applyModularPreset('modular-plucky-bass'); - }); - expect(ok).toBe(true); - - const snap = await page.evaluate(() => window.__nisps.getModularState()); - expect(snap.subEngine).toBe('subtractive'); - // ADSR2 fast decay - expect(snap.dsp['MM_ADSR/01_adsr02_decay']).toBeCloseTo(0.15, 4); - // Matrix: ADSR2 (s01) → cutoff (d05) at raw 0.8 - expect(snap.dsp['MM_Matrix/s01_d05_cutoff']).toBeCloseTo(0.8, 4); - // Filter cutoff moved to 400 Hz - expect(snap.dsp['3_Filter/00_cutoff']).toBeCloseTo(400, 2); - }); - - test('preset apply: DX bell swaps to fm sub-engine', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - - await page.evaluate(async () => { - await window.__nisps.applyModularPreset('modular-dx-bell'); - }); - const snap = await page.evaluate(() => window.__nisps.getModularState()); - expect(snap.subEngine).toBe('fm'); - expect(snap.dsp['MM_Matrix/s02_d03_op3_level']).toBeCloseTo(1.0, 4); - - // paramCount should still be 512 after the cross-engine swap. - const count = await page.evaluate(() => window.__nisps.paramCount); - expect(count).toBe(512); - }); - - test('initial outputs are in [0,1] after modular swap', async ({ page }) => { - await loadApp(page); - await switchToModular(page); - - // Set inputs so the MLP runs a forward pass. - await page.evaluate(() => window.__nisps.setInputs(0.3, 0.7)); - const outputs = await page.evaluate(() => window.__nisps.getOutputs()); - expect(outputs.length).toBe(512); - for (const v of outputs) { - expect(v).toBeGreaterThanOrEqual(0); - expect(v).toBeLessThanOrEqual(1); - } - }); -}); diff --git a/tests/e2e/persistence.spec.js b/tests/e2e/persistence.spec.js deleted file mode 100644 index 571a703..0000000 --- a/tests/e2e/persistence.spec.js +++ /dev/null @@ -1,118 +0,0 @@ -/** - * State persistence tests — localStorage round-trip and URL param application. - */ -const { test, expect } = require('@playwright/test'); -const { loadApp, statusText } = require('./helpers'); - -const STORAGE_KEY = 'nisps-a-immersive'; - -test.describe('State persistence', () => { - test('fresh load with no localStorage starts untrained', async ({ page }) => { - await loadApp(page); // helpers.js clears localStorage before load - const text = await statusText(page); - expect(text).toContain('0 examples'); - expect(text).toContain('untrained'); - }); - - test('URL ?preset=beginner-1 applies preset on load', async ({ page }) => { - await loadApp(page, '&preset=beginner-1'); - const selected = await page.locator('#synth-preset-select').inputValue(); - expect(selected).toBe('beginner-1'); - }); - - test('URL ?preset=advanced-2 applies advanced preset', async ({ page }) => { - await loadApp(page, '&preset=advanced-2'); - const selected = await page.locator('#synth-preset-select').inputValue(); - expect(selected).toBe('advanced-2'); - }); - - test('URL ?spread=0 is accepted without crash', async ({ page }) => { - await loadApp(page, '&spread=0'); - // App should be functional — probe must still exist - const probe = await page.evaluate(() => typeof window.__nisps); - expect(probe).toBe('object'); - }); - - test('URL ?spread=1 is accepted without crash', async ({ page }) => { - await loadApp(page, '&spread=1'); - const probe = await page.evaluate(() => typeof window.__nisps); - expect(probe).toBe('object'); - }); - - test('examples + weights persist across reload via localStorage', async ({ page }) => { - // Navigate fresh — no init script so localStorage is untouched between loads. - // Suppress the help overlay by pre-setting nisps-help-seen via evaluate. - await page.goto(`/a-immersive.html?debug=1`); - await page.evaluate(() => localStorage.removeItem('nisps-a-immersive')); - await page.evaluate(() => localStorage.setItem('nisps-help-seen', '1')); - await page.waitForFunction(() => window.__nisps !== undefined, { timeout: 20_000 }); - - // Write 2 examples directly to localStorage in the app's save format. - await page.evaluate(([key]) => { - const state = { - features: [[0.1, 0.9], [0.9, 0.1]], - labels: [new Array(126).fill(0.2), new Array(126).fill(0.8)], - handFeatures: [], - handLabels: [], - noiseLevel: 0.05, - outputMode: 'visual', - inputMode: 'joystick', - joyX: 0.5, joyY: 0.5, - groupOverrides: null, - visualOverrides: null, - midiCCOverrides: null, - audioCanvasState: null, - synthPresetId: null, - }; - localStorage.setItem(key, JSON.stringify(state)); - }, [STORAGE_KEY]); - - // Reload — no addInitScript registered, so localStorage is preserved. - await page.reload(); - await page.waitForFunction(() => window.__nisps !== undefined, { timeout: 20_000 }); - - // loadState() runs sync training; wait for status to show a loss value. - await page.waitForFunction( - () => document.getElementById('status-text').textContent.includes('loss'), - { timeout: 15_000 } - ); - - const count = await page.evaluate(() => window.__nisps.getExampleCount()); - expect(count).toBe(2); - const text = await statusText(page); - expect(text).toContain('2 examples'); - expect(text).toContain('loss'); - }); - - test('saveState probe writes valid JSON to localStorage', async ({ page }) => { - await loadApp(page); - await page.evaluate(() => window.__nisps.saveState()); - - const raw = await page.evaluate(([key]) => localStorage.getItem(key), [STORAGE_KEY]); - expect(raw).not.toBeNull(); - - const state = JSON.parse(raw); - expect(Array.isArray(state.features)).toBe(true); - expect(Array.isArray(state.labels)).toBe(true); - expect(typeof state.outputMode).toBe('string'); - expect(typeof state.noiseLevel).toBe('number'); - }); - - test('localStorage state is overwritten on next saveState call', async ({ page }) => { - await loadApp(page); - await page.evaluate(() => window.__nisps.saveState()); - - const before = await page.evaluate(([key]) => localStorage.getItem(key), [STORAGE_KEY]); - - // Add an example and save again - await page.evaluate(() => { - window.__nisps.iml.addExample([0.3, 0.7], new Array(126).fill(0.5)); - window.__nisps.saveState(); - }); - - const after = await page.evaluate(([key]) => localStorage.getItem(key), [STORAGE_KEY]); - // State changed — the feature array should now include our example - const parsed = JSON.parse(after); - expect(parsed.features.length).toBeGreaterThan(0); - }); -}); diff --git a/tests/e2e/ui-interactions.spec.js b/tests/e2e/ui-interactions.spec.js deleted file mode 100644 index b928139..0000000 --- a/tests/e2e/ui-interactions.spec.js +++ /dev/null @@ -1,176 +0,0 @@ -/** - * UI state machine tests — drawers, mode switching, preset chips, keyboard shortcuts. - */ -const { test, expect } = require('@playwright/test'); -const { loadApp, statusText } = require('./helpers'); - -test.describe('UI interactions', () => { - test.describe('Dock drawers', () => { - test('Train dock button opens training drawer', async ({ page }) => { - await loadApp(page); - await expect(page.locator('#drawer-training')).toHaveClass(/hidden/); - await page.click('[data-drawer="training"]'); - await expect(page.locator('#drawer-training')).not.toHaveClass(/hidden/); - }); - - test('Drawer close button hides the drawer', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="training"]'); - await expect(page.locator('#drawer-training')).not.toHaveClass(/hidden/); - await page.click('#drawer-training .drawer-close'); - await expect(page.locator('#drawer-training')).toHaveClass(/hidden/); - }); - - test('Mode dock button opens mode drawer', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="mode"]'); - await expect(page.locator('#drawer-mode')).not.toHaveClass(/hidden/); - }); - - test('Engine dock button opens engine drawer', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="params"]'); - await expect(page.locator('#drawer-params')).not.toHaveClass(/hidden/); - }); - - test('multiple drawers can be open simultaneously', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="training"]'); - await page.click('[data-drawer="mode"]'); - // The app doesn't auto-close drawers — both can be open - await expect(page.locator('#drawer-training')).not.toHaveClass(/hidden/); - await expect(page.locator('#drawer-mode')).not.toHaveClass(/hidden/); - }); - }); - - test.describe('Output mode switching', () => { - test('default mode is visual — synth quick controls hidden', async ({ page }) => { - await loadApp(page); - await expect(page.locator('#synth-quick-controls')).toHaveClass(/hidden/); - await expect(page.locator('#midi-cc-quick-controls')).toHaveClass(/hidden/); - }); - - test('switching to Synth shows synth quick controls', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await expect(page.locator('#synth-quick-controls')).not.toHaveClass(/hidden/); - }); - - test('switching to MIDI CC shows midi-cc quick controls', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="midi-cc"]'); - await expect(page.locator('#midi-cc-quick-controls')).not.toHaveClass(/hidden/); - }); - - test('switching back to Visual hides synth controls', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - await page.click('[data-mode="visual"]'); - await expect(page.locator('#synth-quick-controls')).toHaveClass(/hidden/); - }); - - test('heatmap shows 20 bars in visual mode', async ({ page }) => { - await loadApp(page); - const count = await page.locator('.heatmap-cell').count(); - expect(count).toBe(20); - }); - - test('heatmap shows 126 bars in synth mode', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="mode"]'); - await page.click('[data-mode="synth"]'); - const count = await page.locator('.heatmap-cell').count(); - expect(count).toBe(126); - }); - }); - - test.describe('Status line', () => { - test('shows 0 examples · untrained on fresh load', async ({ page }) => { - await loadApp(page); - const text = await statusText(page); - expect(text).toContain('0 examples'); - expect(text).toContain('untrained'); - }); - }); - - test.describe('Training controls', () => { - test('Randomize button changes heatmap bar widths', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="training"]'); - - const widthsBefore = await page.evaluate(() => - Array.from(document.querySelectorAll('.heatmap-cell-bar')).map(el => el.style.width) - ); - await page.click('#btn-randomize'); - const widthsAfter = await page.evaluate(() => - Array.from(document.querySelectorAll('.heatmap-cell-bar')).map(el => el.style.width) - ); - - const anyChanged = widthsBefore.some((w, i) => w !== widthsAfter[i]); - expect(anyChanged).toBe(true); - }); - - test('preset chip loads examples and trains', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="training"]'); - await page.click('[data-preset="calm-to-chaotic"]'); - - // calm-to-chaotic has 3 examples; training is async - await page.waitForFunction( - () => document.getElementById('status-text').textContent.includes('loss'), - { timeout: 15_000 } - ); - const text = await statusText(page); - expect(text).toContain('3 examples'); - expect(text).toContain('loss'); - }); - - test('Clear Ex resets example count to 0', async ({ page }) => { - await loadApp(page); - await page.click('[data-drawer="training"]'); - await page.click('[data-preset="calm-to-chaotic"]'); - await page.waitForFunction( - () => document.getElementById('status-text').textContent.includes('loss'), - { timeout: 15_000 } - ); - - await page.click('#btn-clear-examples'); - const text = await statusText(page); - expect(text).toContain('0 examples'); - }); - }); - - test.describe('Keyboard shortcuts', () => { - test('key 2 triggers thumbs-up (adds example)', async ({ page }) => { - await loadApp(page); - const before = await page.evaluate(() => window.__nisps.getExampleCount()); - await page.keyboard.press('2'); - await page.waitForTimeout(200); - const after = await page.evaluate(() => window.__nisps.getExampleCount()); - expect(after).toBe(before + 1); - }); - - test('key 1 triggers thumbs-down (changes outputs)', async ({ page }) => { - await loadApp(page); - const before = await page.evaluate(() => window.__nisps.getOutputs()); - await page.keyboard.press('1'); - const after = await page.evaluate(() => window.__nisps.getOutputs()); - const anyChanged = before.some((v, i) => Math.abs(v - after[i]) > 0.0001); - expect(anyChanged).toBe(true); - }); - - test('key Z triggers undo after thumbs-down', async ({ page }) => { - await loadApp(page); - const before = await page.evaluate(() => window.__nisps.getWeights()); - await page.keyboard.press('1'); // thumbs-down - await page.keyboard.press('z'); // undo - const after = await page.evaluate(() => window.__nisps.getWeights()); - // Weights should be restored (approximately) - const maxDiff = before.reduce((m, v, i) => Math.max(m, Math.abs(v - after[i])), 0); - expect(maxDiff).toBeLessThan(1e-4); - }); - }); -}); diff --git a/tests/e2e/wasm-api.spec.js b/tests/e2e/wasm-api.spec.js deleted file mode 100644 index b110ee8..0000000 --- a/tests/e2e/wasm-api.spec.js +++ /dev/null @@ -1,231 +0,0 @@ -/** - * WASM API tests — verify new WasmIML methods: - * - inferBatch: batch inference across multiple input points - * - evalLoss: MSE loss evaluation without training - * - getLayerStats: per-layer weight statistics - * - lossHistory: full per-iteration loss curve after training - * - moveWeights with pin mask: pinned outputs stay unchanged - */ -const { test, expect } = require('@playwright/test'); -const { loadApp } = require('./helpers'); - -const EXAMPLE_LOW = { input: [0.1, 0.9], output: new Array(126).fill(0.1) }; -const EXAMPLE_HIGH = { input: [0.9, 0.1], output: new Array(126).fill(0.9) }; - -test.describe('inferBatch', () => { - test('returns correct count of output arrays, each length 126', async ({ page }) => { - await loadApp(page); - const result = await page.evaluate(() => { - const outputs = window.__nisps.iml.inferBatch([[0.2, 0.8], [0.5, 0.5], [0.9, 0.1]]); - return outputs.map(o => Array.from(o)); - }); - expect(result).toHaveLength(3); - for (const arr of result) { - expect(arr).toHaveLength(126); - } - }); - - test('matches individual inference within 1e-5', async ({ page }) => { - await loadApp(page); - const points = [[0.1, 0.2], [0.3, 0.7], [0.5, 0.5], [0.8, 0.1], [0.0, 1.0]]; - const { batchResults, individualResults } = await page.evaluate((pts) => { - const iml = window.__nisps.iml; - const batch = iml.inferBatch(pts).map(o => Array.from(o)); - const individual = pts.map(([x, y]) => { - iml.setInput(0, x); - iml.setInput(1, y); - iml.process(); - return Array.from(iml.getOutputs()); - }); - return { batchResults: batch, individualResults: individual }; - }, points); - - expect(batchResults).toHaveLength(5); - for (let i = 0; i < 5; i++) { - for (let j = 0; j < 126; j++) { - expect(Math.abs(batchResults[i][j] - individualResults[i][j])).toBeLessThan(1e-5); - } - } - }); - - test('all batch outputs are in [0, 1]', async ({ page }) => { - await loadApp(page); - const corners = [ - [0, 0], [0, 1], [1, 0], [1, 1], - [0.5, 0], [0.5, 1], [0, 0.5], [1, 0.5], - [0.25, 0.75], [0.75, 0.25], - ]; - const results = await page.evaluate((pts) => { - return window.__nisps.iml.inferBatch(pts).map(o => Array.from(o)); - }, corners); - - expect(results).toHaveLength(10); - for (const arr of results) { - for (const v of arr) { - expect(v).toBeGreaterThanOrEqual(0); - expect(v).toBeLessThanOrEqual(1); - } - } - }); -}); - -test.describe('evalLoss', () => { - test('returns null when no examples exist', async ({ page }) => { - await loadApp(page); - const loss = await page.evaluate(() => window.__nisps.iml.evalLoss()); - expect(loss).toBeNull(); - }); - - test('returns finite non-negative value when examples exist', async ({ page }) => { - await loadApp(page); - await page.evaluate(([low, high]) => { - window.__nisps.iml.addExample(low.input, low.output); - window.__nisps.iml.addExample(high.input, high.output); - }, [EXAMPLE_LOW, EXAMPLE_HIGH]); - - const loss = await page.evaluate(() => window.__nisps.iml.evalLoss()); - expect(typeof loss).toBe('number'); - expect(isFinite(loss)).toBe(true); - expect(loss).toBeGreaterThanOrEqual(0); - }); - - test('does not change weights', async ({ page }) => { - await loadApp(page); - await page.evaluate(([low, high]) => { - window.__nisps.iml.addExample(low.input, low.output); - window.__nisps.iml.addExample(high.input, high.output); - }, [EXAMPLE_LOW, EXAMPLE_HIGH]); - - const { before, after } = await page.evaluate(() => { - const weightsBefore = window.__nisps.getWeights(); - window.__nisps.iml.evalLoss(); - const weightsAfter = window.__nisps.getWeights(); - return { before: Array.from(weightsBefore), after: Array.from(weightsAfter) }; - }); - - expect(before).toEqual(after); - }); -}); - -test.describe('getLayerStats', () => { - test('returns 4 layers for [3, 32, 48, 64, 126] architecture', async ({ page }) => { - await loadApp(page); - const stats = await page.evaluate(() => window.__nisps.iml.getLayerStats()); - expect(stats).toHaveLength(4); - }); - - test('each layer has all 4 stat fields with valid ranges', async ({ page }) => { - await loadApp(page); - const stats = await page.evaluate(() => window.__nisps.iml.getLayerStats()); - for (const layer of stats) { - expect(typeof layer.meanAbs).toBe('number'); - expect(typeof layer.maxAbs).toBe('number'); - expect(typeof layer.deadFrac).toBe('number'); - expect(typeof layer.satFrac).toBe('number'); - - expect(layer.meanAbs).toBeGreaterThanOrEqual(0); - expect(layer.maxAbs).toBeGreaterThanOrEqual(0); - expect(layer.deadFrac).toBeGreaterThanOrEqual(0); - expect(layer.deadFrac).toBeLessThanOrEqual(1); - expect(layer.satFrac).toBeGreaterThanOrEqual(0); - expect(layer.satFrac).toBeLessThanOrEqual(1); - } - }); -}); - -test.describe('lossHistory', () => { - test('training populates lossHistory with multiple entries', async ({ page }) => { - await loadApp(page); - await page.evaluate(([low, high]) => { - window.__nisps.iml.addExample(low.input, low.output); - window.__nisps.iml.addExample(high.input, high.output); - }, [EXAMPLE_LOW, EXAMPLE_HIGH]); - - const histLen = await page.evaluate(() => { - window.__nisps.train(); - return window.__nisps.iml.lossHistory.length; - }); - expect(histLen).toBeGreaterThan(1); - }); - - test('all loss history entries are finite non-negative', async ({ page }) => { - await loadApp(page); - await page.evaluate(([low, high]) => { - window.__nisps.iml.addExample(low.input, low.output); - window.__nisps.iml.addExample(high.input, high.output); - }, [EXAMPLE_LOW, EXAMPLE_HIGH]); - - const history = await page.evaluate(() => { - window.__nisps.train(); - return [...window.__nisps.iml.lossHistory]; - }); - - expect(history.length).toBeGreaterThan(0); - for (const v of history) { - expect(typeof v).toBe('number'); - expect(isFinite(v)).toBe(true); - expect(v).toBeGreaterThanOrEqual(0); - } - }); -}); - -test.describe('moveWeights with pin mask', () => { - test('pinned output-layer weights unchanged, unpinned weights changed', async ({ page }) => { - await loadApp(page); - // The pin mask protects output-layer weights for pinned nodes. - // Hidden layer weights still change (shared), so we compare flat weight - // vectors and check that the output-layer segment for pinned nodes is - // identical while unpinned weights differ. - const { pinnedWeightsMatch, anyUnpinnedWeightChanged } = await page.evaluate(() => { - const iml = window.__nisps.iml; - const weightsBefore = Array.from(window.__nisps.getWeights()); - - // Pin first 10 outputs - const pinMask = new Uint8Array(126); - for (let i = 0; i < 10; i++) pinMask[i] = 1; - - // Apply noise (spread=0 means no decay, just additive noise) - iml.moveWeights(0.3, 0, pinMask); - - const weightsAfter = Array.from(window.__nisps.getWeights()); - - // The architecture is [3, 32, 48, 64, 126]. - // Output layer: 126 nodes, each with 64+1=65 weights (64 inputs + bias). - // The output layer weights are at the end of the flat array. - const outputLayerWeights = 126 * 65; // 8190 - const outputLayerStart = weightsBefore.length - outputLayerWeights; - const weightsPerNode = 65; - - // Check pinned nodes (first 10) have identical weights - let pinnedAllMatch = true; - for (let n = 0; n < 10; n++) { - const nodeStart = outputLayerStart + n * weightsPerNode; - for (let w = 0; w < weightsPerNode; w++) { - if (weightsBefore[nodeStart + w] !== weightsAfter[nodeStart + w]) { - pinnedAllMatch = false; - break; - } - } - if (!pinnedAllMatch) break; - } - - // Check unpinned output nodes (10-125) have at least some changed weights - let unpinnedChanged = false; - for (let n = 10; n < 126; n++) { - const nodeStart = outputLayerStart + n * weightsPerNode; - for (let w = 0; w < weightsPerNode; w++) { - if (weightsBefore[nodeStart + w] !== weightsAfter[nodeStart + w]) { - unpinnedChanged = true; - break; - } - } - if (unpinnedChanged) break; - } - - return { pinnedWeightsMatch: pinnedAllMatch, anyUnpinnedWeightChanged: unpinnedChanged }; - }); - - expect(pinnedWeightsMatch).toBe(true); - expect(anyUnpinnedWeightChanged).toBe(true); - }); -});