// SPDX-License-Identifier: Apache-2.0 // © 2026 Lutar, Stephen P. — SZL Holdings · ORCID 0009-0001-0110-4173 · Doctrine v11 // // surfaces/aimc.js — ANALOG IN-MEMORY COMPUTING ATTENTION organ for the // holographic frontier ring (charge-domain gain-cell crossbar attention, // Leroux et al. 2025-style). Renders an idealized analog crossbar as a lattice // of nodes: the query drives charge along columns to compute query·key // dot-products IN MEMORY. Three score bars per column visualize the exact // DIGITAL baseline (lattice-blue), the raw NOISY ANALOG pathway (violet-blue), // and the CALIBRATED analog pathway (proof-teal) that recovers accuracy. A HUD // shows analog_mse vs calibrated_mse + the operations-avoided energy tally read // live from /api/killinchu/v1/aimc/attend. Honesty label "MODELED" is read // VERBATIM from the JSON and displayed as-is; it is never upgraded. // // Surface export shape (mirrors mla.js / kvcache.js / specdecode.js exactly): // export default { id, title, endpoints, mount(ctx), unmount() } // ctx = { stage, container, live, label, THREE, szl3d } // // DATA SHOWN (all from live endpoint): // seq_len, dim, noise_sigma, analog_mse, calibrated_mse, calibration_gain, // accuracy_recovered_pct, adc_dac_ops_avoided, memory_move_reads_avoided, // total_ops_avoided, paper_energy_reduction_claim, paper_latency_reduction_claim, // sample_digital_scores[], sample_analog_scores[], sample_calibrated_scores[] // // LEADERS ADOPTED & CITED (clean-room; NOT claimed as SZL's own; VERIFY real): // AIMC attention — analog in-memory gain-cell crossbar attention (mechanism // simulated here): // Leroux et al. 2025, Nature Computational Science // https://www.nature.com/articles/s43588-025-00854-1 // IBM Research plain-language summary (reference): // https://research.ibm.com/blog/how-can-analog-in-memory-computing-power-transformer-models // // HONESTY LABELS: MODELED (deterministic simulation of the charge-domain crossbar // attention arithmetic on ordinary CPU floats; NOT a run on real analog gain-cell // hardware; NEVER-CLAIMED-AS the Leroux et al. chip). Read verbatim from JSON; // never upgraded here. CRITICAL HONESTY: the energy/latency advantage figures are // the PAPER's published CLAIM reproduced at toy scale via an operations-avoided // accounting model — NOT measured on real analog hardware, NOT a measured SZL // result. Doctrine v11: never claim more than is real. // COLOURS: lattice-blue 0x5b8dee (exact digital baseline / crossbar rows), violet- // blue 0x8a6bff (raw noisy analog pathway), proof-teal 0x3af4c8 (calibrated // pathway / HUD accent), greys (device-noise / degraded state). Purple BANNED as // UI/background. // 0 RUNTIME CDN. Vendored three.js r170 via page importmap. // DOCTRINE v11: degrades gracefully (grey) on 404/error; honesty label still shown. // Nothing here is in the locked-8. Λ stays Conjecture 1. Trust never 100%. import { createShowcase } from "./_showcase.js"; const ID = "aimc"; const TITLE = "Analog In-Memory Computing Attention · Gain-Cell Crossbar (live)"; // Endpoint is hosted on the dedicated killinchu Space (isolated compute), reached // cross-origin (killinchu returns access-control-allow-origin: https://a-11-oy.com). // This keeps the AIMC organ's rebuilds/faults isolated from the flagship. const EP = "https://szlholdings-killinchu.hf.space/api/killinchu/v1/aimc/attend?seed=42&seq_len=128&dim=64&noise_sigma=0.05"; // data-viz hues — purple BANNED const C_DIGITAL = 0x5b8dee; // lattice-blue (exact digital baseline / crossbar rows) const C_ANALOG = 0x8a6bff; // violet-blue (raw noisy analog pathway) const C_CALIB = 0x3af4c8; // proof-teal (calibrated pathway / HUD accent) const C_NOISE = 0x6b7a86; // grey (device-noise cue) const C_DIM = 0x42505d; // grey (degraded / no-live-data) const C_GRID = 0x1b3a44; // floor / link colour // crossbar + score-bar layout geometry const GRID_N = 8; // crossbar rendered as GRID_N x GRID_N node lattice const NODE_GAP = 0.5; // world-units between crossbar nodes const BAR_GAP = 0.5; // world-units between score-bar columns along X const MAX_BARS = 24; // cap on score-bar columns rendered (perf) const MAX_BAR_H = 5.0; // world-units — score bar height at unit score const MIN_BAR_H = 0.04; // floor height so a bar never fully vanishes let _stage = null, _THREE = null, _ctx = null, _group = null, _overlay = null; let _frameReg = false, _polls = [], _el = {}, _badge = null; let _plain = false; let _show = null; // geometry handles let _floor = null; let _crossbar = []; // Array — crossbar lattice nodes let _crossLines = []; // Array — crossbar row/column wires let _barsDig = []; // Array — digital baseline score bars let _barsAna = []; // Array — raw analog score bars let _barsCal = []; // Array — calibrated score bars let _query = null; // THREE.Mesh — pulsing query-drive marker // live state const S = { label: null, seqLen: null, // seq_len dim: null, // dim noiseSigma: null, // noise_sigma analogMse: null, // analog_mse calibMse: null, // calibrated_mse calibGain: null, // calibration_gain accRecovered: null, // accuracy_recovered_pct adcDacOps: null, // adc_dac_ops_avoided memMoveOps: null, // memory_move_reads_avoided totalOps: null, // total_ops_avoided energyClaim: null, // paper_energy_reduction_claim (PAPER's claim, not measured) latencyClaim: null, // paper_latency_reduction_claim (PAPER's claim, not measured) digScores: null, // sample_digital_scores[] anaScores: null, // sample_analog_scores[] calScores: null, // sample_calibrated_scores[] state: "init", }; // ============================================================================= // mount(ctx) // ============================================================================= export function mount(ctx) { _ctx = ctx; _stage = ctx.stage; _THREE = ctx.THREE; _group = new _THREE.Group(); _stage.scene.add(_group); _stage.camera.position.set(6, 6, 16); try { if (_stage.controls && _stage.controls.target) { _stage.controls.target.set(3, 2, 0); _stage.controls.update(); } } catch (_) {} try { _stage.setBloom(true); } catch (_) {} _buildFloor(); _buildCrossbar(); _buildScoreBars(); _buildQuery(); if (!_frameReg) { _stage.onFrame(_onFrame); _frameReg = true; } _badge = ctx.live.createBadge(); _polls.push(ctx.live.poll(EP, 5000, _onAimc, { badge: _badge, onState: (m) => { S.state = m.state; _paintOverlay(); } })); _buildOverlay(); return { id: ID, started: true }; } // ============================================================================= // builders // ============================================================================= function _buildFloor() { const THREE = _THREE; const grid = new THREE.GridHelper(40, 40, C_GRID, 0x0f2027); grid.material.opacity = 0.18; grid.material.transparent = true; grid.position.y = -0.01; _group.add(grid); _floor = grid; } // Idealized analog gain-cell crossbar: a GRID_N x GRID_N lattice of nodes with // row + column wires. Each node stores a Key element; the query drives charge // down the columns to accumulate the dot-product IN MEMORY. function _buildCrossbar() { const THREE = _THREE; const nodeGeo = new THREE.OctahedronGeometry(0.09, 0); const originX = -5.0, baseY = 0.6, baseZ = -1.8; for (let r = 0; r < GRID_N; r++) { for (let c = 0; c < GRID_N; c++) { const mesh = new THREE.Mesh( nodeGeo, new THREE.MeshStandardMaterial({ color: C_NOISE, emissive: C_NOISE, emissiveIntensity: 0.2, transparent: true, opacity: 0.75 }), ); mesh.position.set(originX + c * NODE_GAP, baseY + r * NODE_GAP, baseZ); _group.add(mesh); _crossbar.push(mesh); } } // row wires (lattice-blue) + column wires (proof-teal charge paths) for (let r = 0; r < GRID_N; r++) { const pts = [ new THREE.Vector3(originX, baseY + r * NODE_GAP, baseZ), new THREE.Vector3(originX + (GRID_N - 1) * NODE_GAP, baseY + r * NODE_GAP, baseZ), ]; const geo = new THREE.BufferGeometry().setFromPoints(pts); const line = new THREE.Line(geo, new THREE.LineBasicMaterial({ color: C_DIGITAL, transparent: true, opacity: 0.3 })); _group.add(line); _crossLines.push(line); } for (let c = 0; c < GRID_N; c++) { const pts = [ new THREE.Vector3(originX + c * NODE_GAP, baseY, baseZ), new THREE.Vector3(originX + c * NODE_GAP, baseY + (GRID_N - 1) * NODE_GAP, baseZ), ]; const geo = new THREE.BufferGeometry().setFromPoints(pts); const line = new THREE.Line(geo, new THREE.LineBasicMaterial({ color: C_CALIB, transparent: true, opacity: 0.25 })); _group.add(line); _crossLines.push(line); } } // Three interleaved score-bar columns per position: exact digital baseline // (lattice-blue), raw noisy analog (violet-blue), calibrated (proof-teal). // We scale each bar's Y in-place as live data arrives (no per-poll churn), // base centered at y=0 via geometry translation so scaling grows upward. function _buildScoreBars() { const THREE = _THREE; const barGeo = new THREE.BoxGeometry(0.12, 1, 0.12); barGeo.translate(0, 0.5, 0); // base at y=0; scaling Y grows upward function mkBar(color, emis) { const m = new THREE.Mesh( barGeo, new THREE.MeshStandardMaterial({ color, emissive: color, emissiveIntensity: emis, transparent: true, opacity: 0.9 }), ); m.scale.set(1, MIN_BAR_H, 1); m.visible = false; _group.add(m); return m; } for (let i = 0; i < MAX_BARS; i++) { const x = i * BAR_GAP; const bd = mkBar(C_DIGITAL, 0.3); bd.position.set(x - 0.14, 0, 0.4); const ba = mkBar(C_ANALOG, 0.34); ba.position.set(x, 0, 0.4); const bc = mkBar(C_CALIB, 0.42); bc.position.set(x + 0.14, 0, 0.4); _barsDig.push(bd); _barsAna.push(ba); _barsCal.push(bc); } } function _buildQuery() { const THREE = _THREE; _query = new THREE.Mesh( new THREE.IcosahedronGeometry(0.28, 1), new THREE.MeshStandardMaterial({ color: C_CALIB, emissive: C_CALIB, emissiveIntensity: 0.5, wireframe: true, transparent: true, opacity: 0.85 }), ); _query.position.set(-5.7, 2.4, -1.8); _group.add(_query); } // ============================================================================= // live data handler // ============================================================================= function _onAimc(j) { // read honesty label VERBATIM — never upgrade. handle top-level 'label' OR // nested 'payload.label' to match our own module's shape. const lbl = (j && j.label != null) ? j.label : (j && j.payload && j.payload.label != null) ? j.payload.label : "MODELED"; const src = (j && j.payload && typeof j.payload === "object") ? j.payload : j; S.label = String(lbl).toUpperCase(); S.seqLen = typeof src.seq_len === "number" ? src.seq_len : null; S.dim = typeof src.dim === "number" ? src.dim : null; S.noiseSigma = typeof src.noise_sigma === "number" ? src.noise_sigma : null; S.analogMse = typeof src.analog_mse === "number" ? src.analog_mse : null; S.calibMse = typeof src.calibrated_mse === "number" ? src.calibrated_mse : null; S.calibGain = typeof src.calibration_gain === "number" ? src.calibration_gain : null; S.accRecovered = typeof src.accuracy_recovered_pct === "number" ? src.accuracy_recovered_pct : null; S.adcDacOps = typeof src.adc_dac_ops_avoided === "number" ? src.adc_dac_ops_avoided : null; S.memMoveOps = typeof src.memory_move_reads_avoided === "number" ? src.memory_move_reads_avoided : null; S.totalOps = typeof src.total_ops_avoided === "number" ? src.total_ops_avoided : null; S.energyClaim = typeof src.paper_energy_reduction_claim === "string" ? src.paper_energy_reduction_claim : null; S.latencyClaim = typeof src.paper_latency_reduction_claim === "string" ? src.paper_latency_reduction_claim : null; S.digScores = Array.isArray(src.sample_digital_scores) ? src.sample_digital_scores : null; S.anaScores = Array.isArray(src.sample_analog_scores) ? src.sample_analog_scores : null; S.calScores = Array.isArray(src.sample_calibrated_scores) ? src.sample_calibrated_scores : null; _updateBars(); _paintOverlay(); } // ============================================================================= // geometry updater — drives the score bars + crossbar tint from live data // ============================================================================= function _updateBars() { const live = S.state === "live"; const dig = live && S.digScores ? S.digScores : []; const ana = live && S.anaScores ? S.anaScores : []; const cal = live && S.calScores ? S.calScores : []; // normalize bar heights against the max absolute digital score so the trio // is comparable per column. let maxAbs = 0.0; for (let i = 0; i < dig.length; i++) { const a = Math.abs(dig[i]); if (a > maxAbs) maxAbs = a; } if (maxAbs <= 1e-9) maxAbs = 1.0; for (let i = 0; i < MAX_BARS; i++) { const has = live && i < dig.length; _barsDig[i].visible = has; _barsAna[i].visible = has; _barsCal[i].visible = has; if (!has) continue; const hd = Math.max(MIN_BAR_H, (Math.abs(dig[i]) / maxAbs) * MAX_BAR_H); const ha = Math.max(MIN_BAR_H, (Math.abs(ana[i] != null ? ana[i] : dig[i]) / maxAbs) * MAX_BAR_H); const hc = Math.max(MIN_BAR_H, (Math.abs(cal[i] != null ? cal[i] : dig[i]) / maxAbs) * MAX_BAR_H); _barsDig[i].scale.y = hd; _barsAna[i].scale.y = ha; _barsCal[i].scale.y = hc; } // crossbar node tint: violet-blue when live (charge flowing), grey degraded. const nodeColor = live ? C_ANALOG : C_DIM; for (let n = 0; n < _crossbar.length; n++) { _crossbar[n].material.color.setHex(nodeColor); _crossbar[n].material.emissive.setHex(nodeColor); _crossbar[n].material.opacity = live ? 0.75 : 0.2; } for (let l = 0; l < _crossLines.length; l++) { _crossLines[l].material.opacity = live ? 0.28 : 0.08; } if (_query) { const qc = live ? C_CALIB : C_DIM; _query.material.color.setHex(qc); _query.material.emissive.setHex(qc); _query.material.opacity = live ? 0.85 : 0.3; } } // ============================================================================= // per-frame animation // ============================================================================= function _onFrame() { const t = performance.now(); if (_group) _group.rotation.y = Math.sin(t * 0.00008) * 0.11; if (_query) { _query.rotation.y += 0.02; _query.rotation.x += 0.011; const pulse = 1.0 + 0.14 * Math.sin(t * 0.004); _query.scale.setScalar(pulse); } // gentle shimmer along crossbar nodes to suggest charge accumulation for (let n = 0; n < _crossbar.length; n++) { const m = _crossbar[n]; m.material.emissiveIntensity = 0.2 + 0.12 * (0.5 + 0.5 * Math.sin(t * 0.003 + n * 0.4)); } } // ============================================================================= // overlay // ============================================================================= function _buildOverlay() { const ctx = _ctx; _overlay = document.createElement("div"); Object.assign(_overlay.style, { position: "absolute", left: "14px", top: "14px", zIndex: "6", display: "flex", flexDirection: "column", gap: "8px", maxWidth: "min(94%,460px)", font: "12px ui-sans-serif,system-ui,Segoe UI,Roboto,Arial", color: "#eef3f6", }); const h = document.createElement("div"); h.style.cssText = "font:600 13px ui-sans-serif,system-ui;letter-spacing:.4px"; h.textContent = TITLE; _overlay.appendChild(h); const sub = document.createElement("div"); sub.style.cssText = "color:#9fb1bf;font-size:11px;line-height:1.55"; sub.innerHTML = 'Instead of moving the KV cache out of memory and through ADC/DAC converters, an analog ' + 'gain-cell crossbar stores the Keys and computes query\u00b7key dot-products as a ' + 'physical charge-domain multiply-accumulate in place. Bars per column compare the ' + 'exact digital baseline (lattice-blue), the raw analog pathway with device ' + 'noise (violet-blue), and the calibrated pathway (proof-teal) that recovers accuracy. ' + 'Honesty label MODELED \u2014 a deterministic simulation on ordinary CPU floats, NOT ' + 'real analog hardware. Energy/latency wins shown are the paper\u2019s claim, not a measured ' + 'SZL result. 0 runtime CDN.'; _overlay.appendChild(sub); const brow = document.createElement("div"); brow.style.cssText = "display:flex;gap:8px;align-items:center;flex-wrap:wrap"; if (_badge && _badge.el) brow.appendChild(_badge.el); _overlay.appendChild(brow); const card = document.createElement("div"); card.style.cssText = "background:#0a1117;border:1px solid #1d2a36;border-radius:9px;padding:9px 10px;display:flex;flex-direction:column;gap:6px"; const chead = document.createElement("div"); chead.style.cssText = "display:flex;align-items:center;gap:8px;flex-wrap:wrap"; const dot = document.createElement("span"); dot.style.cssText = "width:9px;height:9px;border-radius:50%;background:#3af4c8;box-shadow:0 0 7px #3af4c8"; const nm = document.createElement("b"); nm.style.cssText = "font-size:12px;color:#3af4c8;letter-spacing:.3px"; nm.textContent = "analog in-memory computing attention"; chead.appendChild(dot); chead.appendChild(nm); card.appendChild(chead); const grid = document.createElement("div"); grid.style.cssText = "display:grid;grid-template-columns:1fr;gap:4px"; function kpiRow(id, label) { const r = document.createElement("div"); r.style.cssText = "display:flex;justify-content:space-between;gap:10px;font-size:11px"; const l = document.createElement("span"); l.style.cssText = "color:#9fb1bf"; l.textContent = label; const v = document.createElement("b"); v.id = id; v.style.cssText = "font-variant-numeric:tabular-nums;color:#eef3f6;text-align:right;max-width:58%"; v.textContent = "\u2014"; _el[id] = v; r.appendChild(l); r.appendChild(v); return r; } grid.appendChild(kpiRow("ai-seqlen", "seq_len (crossbar columns)")); grid.appendChild(kpiRow("ai-dim", "dim (crossbar rows)")); grid.appendChild(kpiRow("ai-noise", "noise_sigma (device imprecision)")); grid.appendChild(kpiRow("ai-anamse", "analog_mse (raw, vs digital)")); grid.appendChild(kpiRow("ai-calmse", "calibrated_mse (vs digital) \u2014 MODELED")); grid.appendChild(kpiRow("ai-acc", "accuracy_recovered_pct")); grid.appendChild(kpiRow("ai-ops", "total_ops_avoided (ADC/DAC + moves)")); grid.appendChild(kpiRow("ai-energy", "energy reduction (paper\u2019s claim)")); grid.appendChild(kpiRow("ai-latency", "latency reduction (paper\u2019s claim)")); grid.appendChild(kpiRow("ai-label", "honesty label")); card.appendChild(grid); const fn = document.createElement("div"); fn.style.cssText = "font-size:9.5px;color:#6b7a86;line-height:1.5"; fn.innerHTML = "AIMC attention \u2014 Leroux et al. 2025, Nature Computational Science " + "(nature.com/articles/s43588-025-00854-1) \u00b7 IBM Research summary. MODELED \u00b7 not " + "claimed-as. Energy/latency = paper\u2019s claim, NOT a measured SZL figure."; card.appendChild(fn); _overlay.appendChild(card); const pl = document.createElement("button"); pl.textContent = "\u25d1 what this means"; pl.title = "Toggle plain-language explanation for investors & consumers."; pl.style.cssText = "font:11px ui-monospace,monospace;padding:5px 11px;border-radius:7px;border:1px solid #3af4c8;background:#08140f;color:#3af4c8;cursor:pointer;width:fit-content"; pl.addEventListener("click", () => { _plain = !_plain; pl.style.background = _plain ? "#0f2a20" : "#08140f"; _applyPlain(); }); _overlay.appendChild(pl); const pd = document.createElement("div"); pd.id = "ai-plain"; pd.style.cssText = "font-size:10.5px;color:#c9d6df;line-height:1.55;border:1px dashed #26333f;border-radius:7px;padding:7px 9px;display:none"; _el["plain"] = pd; _overlay.appendChild(pd); // Fold the legacy panel into the shared showcase overlay (surfaces/_showcase.js): // title + live badge + doctrine legend live in the always-visible chrome; the // descriptive text + KPI card become the collapsible body so the 3D scene is the star. _show = createShowcase(_ctx, { id: ID, title: TITLE, accent: "#5b8dee", badge: _badge, legend: true, }); _overlay.style.position = "static"; _overlay.style.left = _overlay.style.top = "auto"; _overlay.style.maxWidth = "none"; _overlay.style.font = "inherit"; if (_overlay.firstChild) _overlay.removeChild(_overlay.firstChild); // drop duplicate title _show.body.appendChild(_overlay); _paintOverlay(); } function _applyPlain() { const pd = _el["plain"]; if (!pd) return; pd.style.display = _plain ? "block" : "none"; if (!_plain) return; const acc = S.accRecovered != null ? S.accRecovered.toFixed(1) + "%" : "loading\u2026"; const ops = S.totalOps != null ? S.totalOps.toLocaleString() : "loading\u2026"; const nz = S.noiseSigma != null ? S.noiseSigma.toFixed(3) : "loading\u2026"; pd.innerHTML = "What this means: Today a chip has to haul the model\u2019s attention \u201cmemory\u201d " + "(the KV cache) out of storage and convert it back and forth through analog\u2194digital " + "converters just to do the math \u2014 that shuttling is where most of the energy and time " + "goes. Analog in-memory computing stores those numbers as tiny electrical charges " + "and lets the math happen inside the memory itself: the query flows in as a voltage " + "and the answer literally adds itself up along each wire. Because the storage is analog it " + "is slightly imprecise (device noise, here " + nz + "), but a one-time calibration " + "step rescales the results and recovers about " + acc + " of the lost accuracy. Skipping " + "the conversions and the memory shuttling avoids roughly " + ops + " operations at this " + "toy scale. Important honesty note: the huge energy (up to ~100,000\u00d7) and latency " + "(up to ~100\u00d7) savings are the research paper\u2019s published claim for real analog " + "hardware \u2014 they are NOT measured on real hardware here and NOT a measured SZL result. " + "This view is a MODELED deterministic simulation running on an ordinary digital CPU, " + "not a run of the actual analog chip."; } function _tok(s) { if (s === "live") return null; if (s === "missing") return "NO-LIVE-DATA"; if (s === "degraded") return "DEGRADED"; if (s === "error") return "OFFLINE"; return "\u2026"; } function fx(v, d) { return typeof v === "number" ? v.toFixed(d) : "\u2014"; } function _set(id, v) { if (_el[id]) _el[id].textContent = v; } function _paintOverlay() { const t = _tok(S.state); _set("ai-seqlen", t || (S.seqLen != null ? S.seqLen.toLocaleString() : "\u2014")); _set("ai-dim", t || (S.dim != null ? String(S.dim) : "\u2014")); _set("ai-noise", t || fx(S.noiseSigma, 3)); _set("ai-anamse", t || fx(S.analogMse, 6)); _set("ai-calmse", t || fx(S.calibMse, 6)); _set("ai-acc", t || (S.accRecovered != null ? S.accRecovered.toFixed(2) + "%" : "\u2014")); _set("ai-ops", t || (S.totalOps != null ? S.totalOps.toLocaleString() : "\u2014")); // energy/latency figures are the PAPER's claim, NOT a measured SZL result. _set("ai-energy", t || (S.energyClaim != null ? S.energyClaim : "paper\u2019s claim, not measured SZL")); _set("ai-latency", t || (S.latencyClaim != null ? S.latencyClaim : "paper\u2019s claim, not measured SZL")); // honesty label verbatim — never upgraded _set("ai-label", t || (S.label || "MODELED")); if (_plain) _applyPlain(); } // ============================================================================= // unmount — clean up everything; must not affect other organs // ============================================================================= export function unmount() { _polls.forEach((p) => { try { p.stop(); } catch (_) {} }); _polls = []; try { if (_show) _show.destroy(); } catch (_) {} try { if (_group && _stage) { _group.traverse((o) => { if (o.geometry && o.geometry.dispose) o.geometry.dispose(); if (o.material) { const ms = Array.isArray(o.material) ? o.material : [o.material]; ms.forEach((m) => { if (m.dispose) m.dispose(); }); } }); _stage.scene.remove(_group); } } catch (_) {} _group = _overlay = _show = null; _floor = null; _crossbar = []; _crossLines = []; _barsDig = []; _barsAna = []; _barsCal = []; _query = null; _el = {}; _badge = null; _plain = false; _frameReg = false; _stage = _THREE = _ctx = null; S.label = S.seqLen = S.dim = S.noiseSigma = null; S.analogMse = S.calibMse = S.calibGain = S.accRecovered = null; S.adcDacOps = S.memMoveOps = S.totalOps = null; S.energyClaim = S.latencyClaim = null; S.digScores = S.anaScores = S.calScores = null; S.state = "init"; } export default { id: ID, title: TITLE, endpoints: [EP], mount, unmount };