import { writeFileSync } from "node:fs";

const cdpPort = process.env.CDP_PORT ?? "9227";
const baseUrl = process.env.SITE_URL ?? "http://127.0.0.1:4327";
const pages = await fetch(`http://127.0.0.1:${cdpPort}/json/list`).then((response) => response.json());
const page = pages.find((entry) => entry.type === "page");
if (!page) throw new Error(`CDP ${cdpPort} 没有可用页面`);

const socket = new WebSocket(page.webSocketDebuggerUrl);
await new Promise((resolve, reject) => {
  socket.addEventListener("open", resolve, { once: true });
  socket.addEventListener("error", reject, { once: true });
});

let nextId = 0;
const pending = new Map();
const exceptions = [];
socket.addEventListener("message", (event) => {
  const message = JSON.parse(event.data);
  if (message.id && pending.has(message.id)) {
    const { resolve, reject } = pending.get(message.id);
    pending.delete(message.id);
    if (message.error) reject(new Error(message.error.message));
    else resolve(message.result);
  }
  if (message.method === "Runtime.exceptionThrown") {
    exceptions.push(message.params.exceptionDetails.exception?.description ?? message.params.exceptionDetails.text);
  }
});

const command = (method, params = {}) => new Promise((resolve, reject) => {
  const id = ++nextId;
  pending.set(id, { resolve, reject });
  socket.send(JSON.stringify({ id, method, params }));
});
const pause = (milliseconds) => new Promise((resolve) => setTimeout(resolve, milliseconds));
const evaluate = async (expression) => {
  const result = await command("Runtime.evaluate", { expression, returnByValue: true, awaitPromise: true });
  if (result.exceptionDetails) throw new Error(result.exceptionDetails.exception?.description ?? result.exceptionDetails.text);
  return result.result.value;
};
const navigate = async (path) => {
  await command("Page.navigate", { url: `${baseUrl}${path}` });
  for (let attempt = 0; attempt < 70; attempt += 1) {
    await pause(100);
    if (await evaluate("document.readyState === 'complete'")) return;
  }
  throw new Error(`${path} 加载超时`);
};
const screenshot = async (path) => {
  const result = await command("Page.captureScreenshot", { format: "png", captureBeyondViewport: false });
  writeFileSync(path, Buffer.from(result.data, "base64"));
};

await command("Page.enable");
await command("Runtime.enable");
await command("Emulation.setDeviceMetricsOverride", {
  width: 1440,
  height: 1100,
  deviceScaleFactor: 1,
  mobile: false,
});

await navigate("/deepseek/");
await screenshot("/tmp/llm-atlas-deepseek-desktop.png");

const overview = await evaluate(`(() => ({
  title: document.querySelector("h1")?.textContent.trim(),
  sections: document.querySelectorAll(".article-section").length,
  tocLinks: document.querySelectorAll(".side-rail a").length,
  ledgers: document.querySelectorAll(".ledger-card").length,
  waves: document.querySelectorAll(".wave-grid > article").length,
  paperLinks: document.querySelectorAll("[data-deepseek-paper-chain] a").length,
  labTabs: document.querySelectorAll("[data-ds-tab]").length,
  labPanels: document.querySelectorAll("[data-ds-panel]").length,
  artifactTabs: document.querySelectorAll("[data-artifact-tab]").length,
  artifactPanels: document.querySelectorAll("[data-artifact-panel]").length,
  artifactLayers: document.querySelectorAll(".layer-evidence > span").length,
  branches: document.querySelectorAll(".branch-grid > a").length,
  followups: document.querySelectorAll(".lineage-row.followup").length,
  navLinks: document.querySelectorAll(".top-nav a").length,
  activeNav: document.querySelector('.top-nav a[aria-current="page"]')?.textContent.trim(),
  heroLabs: [...document.querySelectorAll(".page-facts > div")]
    .find((node) => node.querySelector("dt")?.textContent.trim() === "LABS")
    ?.querySelector("dd")?.textContent.trim(),
  documentOverflow: document.documentElement.scrollWidth - document.documentElement.clientWidth,
}))()`);

const capacity = await evaluate(`(() => {
  const root = document.querySelector("[data-deepseek-lab]");
  const read = () => ({
    panel: root.querySelector("[data-ds-panel]:not([hidden])").dataset.dsPanel,
    total: root.querySelector("[data-total-capacity]").textContent.trim(),
    active: root.querySelector("[data-active-compute]").textContent.trim(),
    combinations: root.querySelector("[data-combinations]").textContent.trim(),
    communication: root.querySelector("[data-communication]").textContent.trim(),
    name: root.querySelector("[data-capacity-name]").textContent.trim(),
    explain: root.querySelector("[data-capacity-explain]").textContent.trim(),
  });
  const initial = read();
  root.querySelector('[data-capacity-preset="dense"]').click();
  const dense = read();
  root.querySelector('[data-capacity-preset="deepseekmoe"]').click();
  const fine = read();
  root.querySelector('[data-capacity-preset="v3"]').click();
  const v3 = read();
  return { initial, dense, fine, v3 };
})()`);

const cache = await evaluate(`(() => {
  const root = document.querySelector("[data-deepseek-lab]");
  root.querySelector('[data-ds-tab="cache"]').click();
  const read = () => ({
    panel: root.querySelector("[data-ds-panel]:not([hidden])").dataset.dsPanel,
    mha: root.querySelector("[data-mha-elements]").textContent.trim(),
    gqa: root.querySelector("[data-gqa-elements]").textContent.trim(),
    mla: root.querySelector("[data-mla-elements]").textContent.trim(),
    rope: root.querySelector("[data-rope-cache]").textContent.trim(),
    selected: root.querySelector("[data-selected-cache]").textContent.trim(),
    baseline: root.querySelector("[data-mha-cache]").textContent.trim(),
    reduction: root.querySelector("[data-cache-reduction]").textContent.trim(),
    boundary: root.querySelector("[data-cache-boundary]").textContent.trim(),
  });
  const initial = read();
  const rope = root.querySelector("[data-rope-dim]");
  rope.value = "0";
  rope.dispatchEvent(new Event("input", { bubbles: true }));
  const noRope = read();
  const context = root.querySelector("[data-context-length]");
  context.value = "1048576";
  context.dispatchEvent(new Event("input", { bubbles: true }));
  const million = read();
  return { initial, noRope, million };
})()`);

const codesign = await evaluate(`(() => {
  const root = document.querySelector("[data-deepseek-lab]");
  root.querySelector('[data-ds-tab="codesign"]').click();
  const readSchedule = () => ({
    bubble: root.querySelector("[data-bubble]").textContent.trim(),
    exposed: root.querySelector("[data-exposed-comm]").textContent.trim(),
  });
  const oneWay = readSchedule();
  root.querySelector('[data-schedule="dual"]').click();
  const dual = readSchedule();
  root.querySelector('[data-precision="naive"]').click();
  const naive = {
    risk: root.querySelector("[data-risk-label]").textContent.trim(),
    accum: root.querySelector("[data-accum-dtype]").textContent.trim(),
    explain: root.querySelector("[data-precision-explain]").textContent.trim(),
  };
  root.querySelector('[data-precision="mixed"]').click();
  const mixed = {
    risk: root.querySelector("[data-risk-label]").textContent.trim(),
    accum: root.querySelector("[data-accum-dtype]").textContent.trim(),
    sensitive: root.querySelector("[data-sensitive-dtype]").textContent.trim(),
  };
  root.querySelector('[data-mtp-role="off"]').click();
  const off = root.querySelector("[data-mtp-supervision]").textContent.trim();
  root.querySelector('[data-mtp-role="draft"]').click();
  const draft = {
    supervision: root.querySelector("[data-mtp-supervision]").textContent.trim(),
    cost: root.querySelector("[data-mtp-main-cost]").textContent.trim(),
    explain: root.querySelector("[data-mtp-explain]").textContent.trim(),
  };
  return { panel: root.querySelector("[data-ds-panel]:not([hidden])").dataset.dsPanel, oneWay, dual, naive, mixed, off, draft };
})()`);

const rl = await evaluate(`(() => {
  const root = document.querySelector("[data-deepseek-lab]");
  root.querySelector('[data-ds-tab="rl"]').click();
  const read = () => ({
    signal: root.querySelector("[data-signal-state]").textContent.trim(),
    mean: root.querySelector("[data-reward-mean]").textContent.trim(),
    std: root.querySelector("[data-reward-std]").textContent.trim(),
    effective: root.querySelector("[data-effective]").textContent.trim(),
    provenance: root.querySelector("[data-provenance]").textContent.trim(),
    algorithm: root.querySelector("[data-algorithm-name]").textContent.trim(),
    boundary: root.querySelector("[data-rl-boundary]").textContent.trim(),
    weights: [...root.querySelectorAll("[data-advantage-rows] > div span:last-child")].map((node) => node.textContent.trim()),
  });
  const initial = read();
  root.querySelector('[data-reward-preset="same"]').click();
  const same = read();
  root.querySelector('[data-reward-preset="longwrong"]').click();
  root.querySelector('[data-rl-algorithm="dapo"]').click();
  const dapo = read();
  root.querySelector('[data-rl-algorithm="dr"]').click();
  const dr = read();
  root.querySelector('[data-r1-mode="r1"]').click();
  const r1 = root.querySelector("[data-r1-mode-explain]").textContent.trim();
  root.querySelector('[data-r1-mode="distill"]').click();
  const distill = root.querySelector("[data-r1-mode-explain]").textContent.trim();
  const first = root.querySelector('[data-ds-tab="capacity"]');
  first.focus();
  first.dispatchEvent(new KeyboardEvent("keydown", { key: "ArrowRight", bubbles: true }));
  return {
    initial, same, dapo, dr, r1, distill,
    keyboardSelected: root.querySelector('[data-ds-tab][aria-selected="true"]').dataset.dsTab,
    keyboardVisible: root.querySelector("[data-ds-panel]:not([hidden])").dataset.dsPanel,
  };
})()`);

const artifactRoute = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  const read = () => ({
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    position: root.querySelector("[data-route-position]").textContent.trim(),
    piece: root.querySelector("[data-route-piece]").textContent.trim(),
    tokenId: root.querySelector("[data-route-token-id]").textContent.trim(),
    weightSum: root.querySelector("[data-route-weight-sum]").textContent.trim(),
    chosen: [...root.querySelectorAll("[data-route-experts] article")].map((node) => ({
      expert: node.querySelector("b").textContent.trim(),
      weight: node.querySelector("small").textContent.trim(),
    })),
    heatCells: root.querySelectorAll("[data-route-heatmap] > span").length,
    selectedCells: root.querySelectorAll("[data-route-heatmap] > span.selected").length,
    routes: root.querySelector("[data-route-count]").textContent.trim(),
    used: root.querySelector("[data-route-used]").textContent.trim(),
    cv: root.querySelector("[data-route-cv]").textContent.trim(),
    effective: root.querySelector("[data-route-effective]").textContent.trim(),
  });
  const initial = read();
  const layer = root.querySelector("[data-route-layer]");
  const prompt = root.querySelector("[data-route-prompt]");
  const token = root.querySelector("[data-route-token]");
  layer.value = "4";
  layer.dispatchEvent(new Event("change", { bubbles: true }));
  prompt.value = "en_architecture";
  prompt.dispatchEvent(new Event("change", { bubbles: true }));
  token.value = String(token.options.length - 1);
  token.dispatchEvent(new Event("change", { bubbles: true }));
  const switched = read();
  return { initial, switched, tokenOptions: token.options.length };
})()`);

const artifactLoad = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  root.querySelector('[data-artifact-tab="load"]').click();
  const read = () => ({
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    used: root.querySelector("[data-load-used]").textContent.trim(),
    zero: root.querySelector("[data-load-zero]").textContent.trim(),
    cv: root.querySelector("[data-load-cv]").textContent.trim(),
    gini: root.querySelector("[data-load-gini]").textContent.trim(),
    effective: root.querySelector("[data-load-effective]").textContent.trim(),
    rows: root.querySelectorAll("[data-load-rows] > div").length,
    jaccards: root.querySelectorAll("[data-load-jaccard] > article").length,
  });
  const layer1 = read();
  root.querySelector('[data-load-layer="2"]').click();
  const layer2 = read();
  root.querySelector('[data-load-layer="4"]').click();
  const layer4 = read();
  return { layer1, layer2, layer4 };
})()`);

const artifactCache = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  root.querySelector('[data-artifact-tab="cache"]').click();
  const read = () => ({
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    latent: root.querySelector("[data-cache-latent-bytes]").textContent.trim(),
    eager: root.querySelector("[data-cache-eager-bytes]").textContent.trim(),
    ratio: root.querySelector("[data-cache-ratio]").textContent.trim(),
    reduction: root.querySelector("[data-cache-reduction]").textContent.trim(),
  });
  const trace = read();
  const context = root.querySelector("[data-cache-context]");
  const batch = root.querySelector("[data-cache-batch]");
  const layers = root.querySelector("[data-cache-layers]");
  context.value = "1048576";
  context.dispatchEvent(new Event("change", { bubbles: true }));
  batch.value = "8";
  batch.dispatchEvent(new Event("input", { bubbles: true }));
  layers.value = "27";
  layers.dispatchEvent(new Event("input", { bubbles: true }));
  const million = read();
  return { trace, million };
})()`);

const artifactAbsorb = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  root.querySelector('[data-artifact-tab="absorb"]').click();
  return {
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    algebra: root.querySelectorAll(".absorb-algebra article").length,
    naive: root.querySelector(".absorb-cache-flow .naive header b").textContent.trim(),
    absorbed: root.querySelector(".absorb-cache-flow .absorbed header b").textContent.trim(),
    metrics: [...root.querySelectorAll(".absorb-metrics article b")].map((node) => node.textContent.trim()),
    precisionRows: root.querySelectorAll(".precision-lens > div").length,
    matrixRows: root.querySelectorAll(".kernel-matrix > div").length,
    localUnsupported: root.querySelectorAll(".kernel-matrix i.no").length,
    executionCards: root.querySelectorAll(".execution-split article").length,
    boundary: root.querySelector('[data-artifact-panel="absorb"] .artifact-boundary').textContent.replaceAll(/\\s+/g, " ").trim(),
  };
})()`);
await evaluate(`(() => {
  document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -82);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-absorb-desktop.png");

const artifactCorpus = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  root.querySelector('[data-artifact-tab="corpus"]').click();
  const read = () => ({
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    rows: root.querySelectorAll("[data-corpus-domain-rows] > div").length,
    tokens: [...root.querySelectorAll("[data-corpus-domain-rows] > div > span:first-child > small")].map((node) => node.textContent.trim()),
    heatRows: root.querySelectorAll("[data-corpus-heatmap] > div").length,
    heatCells: root.querySelectorAll("[data-corpus-heatmap] > div > span").length,
    jsdCells: root.querySelectorAll("[data-corpus-jsd] > *").length,
    highest: root.querySelector("[data-corpus-highest-cv]").textContent.trim(),
    largest: root.querySelector("[data-corpus-largest-jsd]").textContent.trim(),
    heatTitle: root.querySelector("[data-corpus-heat-title]").textContent.trim(),
    cohortTitle: root.querySelector("[data-corpus-cohort-title]").textContent.trim(),
    exact: root.querySelector(".corpus-ledger .exact b").textContent.trim(),
    modeNote: root.querySelector("[data-corpus-mode-note]").textContent.trim(),
    deltaCards: root.querySelectorAll("[data-length-delta-grid] > article").length,
    lengthJsd: root.querySelector("[data-length-jsd]").textContent.trim(),
    lengthLargest: root.querySelector("[data-length-largest]").textContent.trim(),
  });
  const layer1 = read();
  root.querySelector('[data-corpus-layer="4"]').click();
  const layer4 = read();
  root.querySelector('[data-corpus-cohort="matched16"]').click();
  root.querySelector('[data-corpus-layer="2"]').click();
  const matched16 = read();
  root.querySelector('[data-corpus-cohort="matched24"]').click();
  const matched24 = read();
  root.querySelector('[data-corpus-mode="token_weighted"]').click();
  const tokenWeighted = read();
  return { layer1, layer4, matched16, matched24, tokenWeighted };
})()`);
await evaluate(`(() => {
  document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -82);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-corpus-desktop.png");
await evaluate(`(() => {
  document.querySelector(".length-sensitivity").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -82);
})()`);
await pause(120);
await screenshot("/tmp/llm-atlas-deepseek-length-sensitivity-desktop.png");

const artifactTemplate = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  root.querySelector('[data-artifact-tab="template"]').click();
  const read = () => ({
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    domainCards: root.querySelectorAll("[data-template-domain-grid] > article").length,
    domains: [...root.querySelectorAll("[data-template-domain-grid] > article")].map((node) => ({
      label: node.querySelector("span").textContent.trim(),
      values: node.querySelector("b").textContent.trim(),
      delta: node.querySelector("strong").textContent.trim(),
      className: node.querySelector("strong").className,
      ci: node.querySelector("p").textContent.trim(),
      distance: node.querySelector("small").textContent.trim(),
      stability: node.querySelector("em").textContent.trim(),
    })),
    prefixExact: root.querySelector("[data-template-prefix-exact]").textContent.trim(),
    contentZero: root.querySelector("[data-template-content-zero]").textContent.trim(),
    suffixTv: root.querySelector("[data-template-suffix-tv]").textContent.trim(),
    note: root.querySelector("[data-template-note]").textContent.trim(),
    depthRows: root.querySelectorAll("[data-template-depth-map] > div").length,
    depthCells: root.querySelectorAll("[data-template-depth-map] > div > span").length,
    exact: root.querySelector(".template-ledger .exact b").textContent.trim(),
    activeLayer: root.querySelector("[data-template-layer].active").textContent.trim(),
    activeScope: root.querySelector('[data-template-scope][aria-pressed="true"]').dataset.templateScope,
    activeMode: root.querySelector('[data-template-mode][aria-pressed="true"]').dataset.templateMode,
  });
  const layer1Content = read();
  root.querySelector('[data-template-layer="6"]').click();
  const layer6Content = read();
  root.querySelector('[data-template-scope="full_input"]').click();
  const layer6Full = read();
  root.querySelector('[data-template-mode="token_weighted"]').click();
  const layer6FullToken = read();
  root.querySelector('[data-template-scope="content_only"]').click();
  root.querySelector('[data-template-mode="prompt_balanced"]').click();
  root.querySelector('[data-template-layer="2"]').click();
  const layer2Content = read();
  return { layer1Content, layer6Content, layer6Full, layer6FullToken, layer2Content };
})()`);
await evaluate(`(() => {
  document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -82);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-template-desktop.png");
await evaluate(`(() => {
  document.querySelector(".template-domain-grid").scrollIntoView({ block: "center", behavior: "instant" });
})()`);
await pause(120);
await screenshot("/tmp/llm-atlas-deepseek-template-results-desktop.png");

const artifactHistory = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  root.querySelector('[data-artifact-tab="history"]').click();
  const read = () => ({
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    matrixRows: root.querySelectorAll(".history-row").length,
    matrixCells: root.querySelectorAll(".history-row > article").length,
    domainCards: root.querySelectorAll("[data-history-domain-grid] > article").length,
    domains: [...root.querySelectorAll("[data-history-domain-grid] > article")].map((node) => ({
      label: node.querySelector("span").textContent.trim(),
      cells: [...node.querySelectorAll(".history-cell-values i")].map((cell) => ({
        name: cell.querySelector("small").textContent.trim(),
        value: cell.querySelector("b").textContent.trim(),
      })),
      effect: node.querySelector("strong").textContent.trim(),
      className: node.querySelector("strong").className,
      ci: node.querySelector("p").textContent.trim(),
      allEffects: node.querySelector(":scope > small").textContent.trim(),
      edges: node.querySelector("em").textContent.trim(),
    })),
    bufferSummary: [...root.querySelectorAll('[data-artifact-panel="history"] .history-buffer-summary article b')].map((node) => node.textContent.trim()),
    bufferCards: [...root.querySelectorAll("[data-history-buffer-grid] > article")].map((node) => ({
      label: node.querySelector("span").textContent.trim(),
      tv: node.querySelector("b").textContent.trim(),
      reduction: node.querySelector("strong").textContent.trim(),
      stability: node.querySelector("p").textContent.trim(),
    })),
    depthRows: root.querySelectorAll("[data-history-depth-map] > div").length,
    depthCells: root.querySelectorAll("[data-history-depth-map] > div > span").length,
    depthTitle: root.querySelector("[data-history-depth-title]").textContent.trim(),
    exact: root.querySelector(".history-ledger .exact b").textContent.trim(),
    note: root.querySelector("[data-history-note]").textContent.trim(),
    activeLayer: root.querySelector("[data-history-layer].active").textContent.trim(),
    activeScope: root.querySelector('[data-history-scope][aria-pressed="true"]').dataset.historyScope,
    activeMode: root.querySelector('[data-history-mode][aria-pressed="true"]').dataset.historyMode,
    activeEffect: root.querySelector('[data-history-effect][aria-pressed="true"]').dataset.historyEffect,
  });
  const layer1Interaction = read();
  root.querySelector('[data-history-layer="4"]').click();
  const layer4Interaction = read();
  root.querySelector('[data-history-effect="system_main"]').click();
  const layer4System = read();
  root.querySelector('[data-history-scope="full_input"]').click();
  const layer4FullSystem = read();
  root.querySelector('[data-history-mode="token_weighted"]').click();
  const layer4FullToken = read();
  root.querySelector('[data-history-scope="target_content"]').click();
  root.querySelector('[data-history-mode="prompt_balanced"]').click();
  root.querySelector('[data-history-effect="interaction"]').click();
  return { layer1Interaction, layer4Interaction, layer4System, layer4FullSystem, layer4FullToken, restored: read() };
})()`);
await evaluate(`(() => {
  document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -82);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-history-desktop.png");
await evaluate(`(() => {
  document.querySelector(".history-domain-grid").scrollIntoView({ block: "center", behavior: "instant" });
})()`);
await pause(120);
await screenshot("/tmp/llm-atlas-deepseek-history-results-desktop.png");

const artifactDistance = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  root.querySelector('[data-artifact-tab="distance"]').click();
  const read = () => ({
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    matrixRows: root.querySelectorAll(".distance-row:not(.head)").length,
    matrixCells: root.querySelectorAll(".distance-row:not(.head) > article").length,
    domainCards: root.querySelectorAll("[data-distance-domain-grid] > article").length,
    domains: [...root.querySelectorAll("[data-distance-domain-grid] > article")].map((node) => ({
      label: node.querySelector(":scope > span").textContent.trim(),
      values: [...node.querySelectorAll(".distance-tv-ladder i")].map((cell) => ({
        name: cell.querySelector("small").textContent.trim(),
        value: cell.querySelector("b").textContent.trim(),
      })),
      effect: node.querySelector("strong").textContent.trim(),
      className: node.querySelector("strong").className,
      ci: node.querySelector(":scope > p").textContent.trim(),
      stability: node.querySelector(":scope > small").textContent.trim(),
      lexical: node.querySelector(":scope > em").textContent.trim(),
      cv: node.querySelector(":scope > u").textContent.trim(),
    })),
    summary: [...root.querySelectorAll(".distance-summary article b")].map((node) => node.textContent.trim()),
    depthRows: root.querySelectorAll("[data-distance-depth-map] > div").length,
    depthCells: root.querySelectorAll("[data-distance-depth-map] > div > span").length,
    depthTitle: root.querySelector("[data-distance-depth-title]").textContent.trim(),
    exact: root.querySelector(".distance-ledger .exact b").textContent.trim(),
    note: root.querySelector("[data-distance-note]").textContent.trim(),
    activeLayer: root.querySelector("[data-distance-layer].active").textContent.trim(),
    activeScope: root.querySelector('[data-distance-scope][aria-pressed="true"]').dataset.distanceScope,
    activeMode: root.querySelector('[data-distance-mode][aria-pressed="true"]').dataset.distanceMode,
    activeContrast: root.querySelector('[data-distance-contrast][aria-pressed="true"]').dataset.distanceContrast,
  });
  const layer1Filler = read();
  root.querySelector('[data-distance-layer="4"]').click();
  const layer4Filler = read();
  root.querySelector('[data-distance-contrast="demo_minus_filler"]').click();
  const layer4Demo = read();
  root.querySelector('[data-distance-scope="full_input"]').click();
  const layer4FullDemo = read();
  root.querySelector('[data-distance-mode="token_weighted"]').click();
  const layer4FullToken = read();
  root.querySelector('[data-distance-scope="target_content"]').click();
  root.querySelector('[data-distance-mode="prompt_balanced"]').click();
  root.querySelector('[data-distance-contrast="filler_minus_none"]').click();
  return { layer1Filler, layer4Filler, layer4Demo, layer4FullDemo, layer4FullToken, restored: read() };
})()`);
await evaluate(`(() => {
  document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -82);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-distance-desktop.png");
await evaluate(`(() => {
  document.querySelector(".distance-domain-grid").scrollIntoView({ block: "center", behavior: "instant" });
})()`);
await pause(120);
await screenshot("/tmp/llm-atlas-deepseek-distance-results-desktop.png");

const artifactEvidence = await evaluate(`(() => {
  const root = document.querySelector("[data-dsv2-lab]");
  root.querySelector('[data-artifact-tab="evidence"]').click();
  const result = {
    panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
    layers: root.querySelectorAll(".layer-evidence > span").length,
    executed: root.querySelectorAll(".layer-evidence > span.executed").length,
    split: root.querySelectorAll(".layer-evidence > span.split").length,
    unloaded: root.querySelectorAll(".layer-evidence > span.unloaded").length,
    exact: root.querySelector(".repro-gate strong").textContent.trim(),
    dependency: root.querySelector(".dependency-split").textContent.replaceAll(/\\s+/g, " ").trim(),
    boundary: root.querySelector('[data-artifact-panel="evidence"] .artifact-boundary').textContent.replaceAll(/\\s+/g, " ").trim(),
  };
  const first = root.querySelector('[data-artifact-tab="route"]');
  first.focus();
  first.dispatchEvent(new KeyboardEvent("keydown", { key: "ArrowRight", bubbles: true }));
  result.keyboardSelected = root.querySelector('[data-artifact-tab][aria-selected="true"]').dataset.artifactTab;
  result.keyboardVisible = root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel;
  return result;
})()`);

await evaluate(`(() => {
  document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -82);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-artifact-desktop.png");

await navigate("/");
const home = await evaluate(`(() => ({
  releaseCards: document.querySelectorAll(".release-card").length,
  firstRelease: document.querySelector(".release-card h2").textContent.trim(),
  firstHref: document.querySelector(".release-card").getAttribute("href"),
  paperCount: document.querySelector(".hero-stats div:nth-child(3) b").textContent.trim(),
  navLinks: document.querySelectorAll(".top-nav a").length,
}))()`);

await navigate("/papers/");
const papers = await evaluate(`(() => {
  const button = [...document.querySelectorAll("[data-filter]")].find((node) => node.textContent.trim() === "DeepSeek");
  button?.click();
  return {
    total: document.querySelectorAll("[data-paper]").length,
    visible: document.querySelectorAll("[data-paper]:not([hidden])").length,
    hasFilter: Boolean(button),
    hasCoder: document.body.textContent.includes("DeepSeek-Coder-V2"),
    hasEngram: document.body.textContent.includes("Conditional Memory via Scalable Lookup"),
  };
})()`);

await command("Emulation.setDeviceMetricsOverride", {
  width: 390,
  height: 844,
  deviceScaleFactor: 1,
  mobile: true,
});
await navigate("/deepseek/");
const mobile = await evaluate(`(() => {
  const root = document.querySelector("[data-deepseek-lab]");
  const artifact = document.querySelector("[data-dsv2-lab]");
  root.scrollIntoView({ block: "start", behavior: "instant" });
  const toggle = document.querySelector("#menu-toggle");
  toggle?.click();
  return {
    documentOverflow: document.documentElement.scrollWidth - document.documentElement.clientWidth,
    menuVisible: getComputedStyle(toggle).display !== "none",
    menuOpen: toggle.getAttribute("aria-expanded"),
    mobileLinks: document.querySelectorAll("#mobile-nav a").length,
    tabs: root.querySelectorAll("[data-ds-tab]").length,
    artifactTabs: artifact.querySelectorAll("[data-artifact-tab]").length,
    artifactHeatCells: artifact.querySelectorAll("[data-route-heatmap] > span").length,
    corpusCohorts: artifact.querySelectorAll("[data-corpus-cohort]").length,
    lengthDeltaCards: artifact.querySelectorAll("[data-length-delta-grid] > article").length,
    templateLayers: artifact.querySelectorAll("[data-template-layer]").length,
    templateScopes: artifact.querySelectorAll("[data-template-scope]").length,
    templateModes: artifact.querySelectorAll("[data-template-mode]").length,
    templateDomainCards: artifact.querySelectorAll("[data-template-domain-grid] > article").length,
    templateDepthCells: artifact.querySelectorAll("[data-template-depth-map] > div > span").length,
    historyLayers: artifact.querySelectorAll("[data-history-layer]").length,
    historyScopes: artifact.querySelectorAll("[data-history-scope]").length,
    historyModes: artifact.querySelectorAll("[data-history-mode]").length,
    historyEffects: artifact.querySelectorAll("[data-history-effect]").length,
    historyDomainCards: artifact.querySelectorAll("[data-history-domain-grid] > article").length,
    historyDepthCells: artifact.querySelectorAll("[data-history-depth-map] > div > span").length,
    distanceLayers: artifact.querySelectorAll("[data-distance-layer]").length,
    distanceScopes: artifact.querySelectorAll("[data-distance-scope]").length,
    distanceModes: artifact.querySelectorAll("[data-distance-mode]").length,
    distanceContrasts: artifact.querySelectorAll("[data-distance-contrast]").length,
    distanceDomainCards: artifact.querySelectorAll("[data-distance-domain-grid] > article").length,
    distanceDepthCells: artifact.querySelectorAll("[data-distance-depth-map] > div > span").length,
    offenders: [...document.querySelectorAll("body *")]
      .filter((node) => !node.closest(".paper-chain, .advantage-table, .precision-table, .mapping-table, [data-deepseek-lab], [data-dsv2-lab]"))
      .filter((node) => node.getBoundingClientRect().right > document.documentElement.clientWidth + 1)
      .slice(0, 12)
      .map((node) => ({
        tag: node.tagName,
        className: typeof node.className === "string" ? node.className : "",
        right: Math.round(node.getBoundingClientRect().right),
        width: Math.round(node.getBoundingClientRect().width),
      })),
  };
})()`);
await evaluate(`(() => {
  document.querySelector("#menu-toggle")?.click();
  const artifact = document.querySelector("[data-dsv2-lab]");
  artifact.querySelector('[data-artifact-tab="corpus"]').click();
  artifact.scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -82);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-corpus-mobile.png");
await evaluate(`(() => {
  document.querySelector(".length-sensitivity").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -70);
})()`);
await pause(120);
await screenshot("/tmp/llm-atlas-deepseek-length-sensitivity-mobile.png");
await evaluate(`(() => {
  const artifact = document.querySelector("[data-dsv2-lab]");
  artifact.querySelector('[data-artifact-tab="template"]').click();
  artifact.scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -70);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-template-mobile.png");
await evaluate(`(() => {
  document.querySelector(".template-domain-grid").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -72);
})()`);
await pause(120);
await screenshot("/tmp/llm-atlas-deepseek-template-results-mobile.png");
await evaluate(`(() => {
  const artifact = document.querySelector("[data-dsv2-lab]");
  artifact.querySelector('[data-artifact-tab="history"]').click();
  artifact.scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -70);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-history-mobile.png");
await evaluate(`(() => {
  document.querySelector(".history-domain-grid").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -72);
})()`);
await pause(120);
await screenshot("/tmp/llm-atlas-deepseek-history-results-mobile.png");
await evaluate(`(() => {
  const artifact = document.querySelector("[data-dsv2-lab]");
  artifact.querySelector('[data-artifact-tab="distance"]').click();
  artifact.scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -70);
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-deepseek-distance-mobile.png");
await evaluate(`(() => {
  document.querySelector(".distance-domain-grid").scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -72);
})()`);
await pause(120);
await screenshot("/tmp/llm-atlas-deepseek-distance-results-mobile.png");

const report = { overview, capacity, cache, codesign, rl, artifactRoute, artifactLoad, artifactCache, artifactAbsorb, artifactCorpus, artifactTemplate, artifactHistory, artifactDistance, artifactEvidence, home, papers, mobile, exceptions };
console.log(JSON.stringify(report, null, 2));

const numeric = (text) => Number.parseFloat(text.replaceAll(",", ""));
const failures = [];
if (!overview.title.includes("为什么转向")) failures.push("专题标题异常");
if (overview.sections !== 26 || overview.tocLinks !== 26) failures.push("二十五个编号专题加阅读链的目录结构异常");
if (overview.ledgers !== 24 || overview.waves !== 10) failures.push("二十四张问题账或十次转向结构异常");
if (overview.paperLinks !== 60 || overview.branches !== 5 || overview.followups !== 1) failures.push("论文链、旁支或公开后续标记异常");
if (overview.labTabs !== 4 || overview.labPanels !== 4) failures.push("四联实验结构异常");
if (overview.artifactTabs !== 9 || overview.artifactPanels !== 9 || overview.artifactLayers !== 27) failures.push("真实权重九联实验结构异常");
if (overview.heroLabs !== "13 个可操作实验") failures.push("DeepSeek 实验总数账异常");
if (overview.navLinks !== 20 || home.navLinks !== 20 || mobile.mobileLinks !== 20 || overview.activeNav !== "DeepSeek") failures.push("全站导航未同步 DeepSeek");
if (overview.documentOverflow > 1 || mobile.documentOverflow > 1) failures.push("桌面或移动端存在文档级横向溢出");
if (capacity.initial.panel !== "capacity" || capacity.initial.total !== "32.1× FFN" || capacity.initial.active !== "1.13× FFN") failures.push("V3 稀疏容量初始账异常");
if (!capacity.dense.name.includes("DENSE") || capacity.dense.communication !== "NONE" || numeric(capacity.dense.total) !== numeric(capacity.dense.active)) failures.push("Dense 容量预设异常");
if (!capacity.fine.name.includes("FINE-GRAINED") || !capacity.fine.explain.includes("shared")) failures.push("DeepSeekMoE 预设异常");
if (!capacity.v3.combinations.includes("10^") || capacity.v3.communication !== "HIGH") failures.push("V3 路由组合或通信方向异常");
if (cache.initial.panel !== "cache" || numeric(cache.initial.mha) !== 32768 || numeric(cache.initial.gqa) !== 2048 || numeric(cache.initial.mla) !== 576 || numeric(cache.initial.rope) !== 64) failures.push("MLA 精确元素账异常");
if (numeric(cache.initial.reduction) !== 98.2 || numeric(cache.noRope.mla) !== 512 || numeric(cache.noRope.reduction) <= numeric(cache.initial.reduction)) failures.push("RoPE cache 或 MLA reduction 异常");
if (!cache.million.selected.includes("GiB") || !cache.million.boundary.includes("1,048,576")) failures.push("百万 Token 缓存账异常");
if (numeric(codesign.dual.bubble) >= numeric(codesign.oneWay.bubble) || numeric(codesign.dual.exposed) >= numeric(codesign.oneWay.exposed)) failures.push("Dual-ended toy 没有减少空泡或暴露通信");
if (codesign.naive.risk !== "CRITICAL" || codesign.naive.accum !== "FP8" || codesign.mixed.risk !== "MANAGED" || !codesign.mixed.accum.includes("FP32")) failures.push("FP8 角色合同异常");
if (!codesign.off.includes("1 token") || !codesign.draft.supervision.includes("draft") || !codesign.draft.explain.includes("验收率")) failures.push("MTP 生命周期异常");
if (rl.initial.signal !== "GROUP-RELATIVE SIGNAL" || rl.same.signal !== "ZERO GROUP SIGNAL" || !rl.same.boundary.includes("优势为零")) failures.push("GRPO 零方差信号异常");
if (!rl.dapo.provenance.includes("2503.14476") || !rl.dapo.algorithm.includes("FOLLOW-UP") || !rl.dr.provenance.includes("2503.20783")) failures.push("DAPO / Dr.GRPO 来源边界异常");
if (!rl.r1.includes("cold start") || !rl.distill.includes("没有重演")) failures.push("R1 / distill 身份切换异常");
if (rl.keyboardSelected !== "cache" || rl.keyboardVisible !== "cache") failures.push("实验键盘 tab 导航异常");
if (artifactRoute.initial.panel !== "route" || artifactRoute.initial.chosen.length !== 6 || artifactRoute.initial.heatCells !== 64 || artifactRoute.initial.selectedCells !== 6) failures.push("真实 top-6 路由结构异常");
if (artifactRoute.initial.routes !== "156" || artifactRoute.initial.used !== "54 / 64" || artifactRoute.initial.weightSum !== "0.4540") failures.push("Layer 1 中文 token 路由初值异常");
if (artifactRoute.switched.chosen.length !== 6 || artifactRoute.switched.heatCells !== 64 || artifactRoute.tokenOptions !== 18 || numeric(artifactRoute.switched.weightSum) >= 1) failures.push("路由层 / prompt / token 切换异常");
if (artifactLoad.layer1.panel !== "load" || artifactLoad.layer1.used !== "63" || artifactLoad.layer1.cv !== "0.925" || artifactLoad.layer1.rows !== 5 || artifactLoad.layer1.jaccards !== 6) failures.push("Layer 1 聚合负载账异常");
if (artifactLoad.layer2.used !== "64" || artifactLoad.layer2.cv !== "0.549" || artifactLoad.layer4.used !== "62" || artifactLoad.layer4.gini !== "0.417") failures.push("跨层负载统计切换异常");
if (artifactCache.trace.panel !== "cache" || artifactCache.trace.latent !== "850.50 KiB" || artifactCache.trace.eager !== "7.38 MiB" || artifactCache.trace.ratio !== "8.89×" || artifactCache.trace.reduction !== "88.75%") failures.push("V2-Lite trace 缓存实现账异常");
if (!artifactCache.million.latent.includes("GiB") || !artifactCache.million.eager.includes("TiB")) failures.push("V2-Lite 百万 Token 缓存外推异常");
if (artifactAbsorb.panel !== "absorb" || artifactAbsorb.algebra !== 2 || artifactAbsorb.naive !== "260.00 KiB" || artifactAbsorb.absorbed !== "29.25 KiB") failures.push("真实 absorb 缓存执行账异常");
if (artifactAbsorb.metrics[0] !== "8.8889×" || artifactAbsorb.metrics[1] !== "0.00390625" || artifactAbsorb.metrics[2] !== "1.19e-7" || artifactAbsorb.metrics[3] !== "BYTE-EXACT") failures.push("absorb 数值正确性或复跑闸门异常");
if (artifactAbsorb.precisionRows !== 3 || artifactAbsorb.matrixRows !== 5 || artifactAbsorb.localUnsupported !== 4 || artifactAbsorb.executionCards !== 3 || !artifactAbsorb.boundary.includes("不是 FlashMLA 性能")) failures.push("FlashMLA SM120 边界结构异常");
if (artifactCorpus.layer1.panel !== "corpus" || artifactCorpus.layer1.rows !== 4 || artifactCorpus.layer1.heatRows !== 4 || artifactCorpus.layer1.heatCells !== 256 || artifactCorpus.layer1.jsdCells !== 25) failures.push("128 样本路由区间结构异常");
if (!artifactCorpus.layer1.highest.includes("中文新闻 · 0.754") || !artifactCorpus.layer1.largest.includes("中文新闻 ↔ Python 代码 · 0.059") || artifactCorpus.layer1.exact !== "3 / 3 EXACT") failures.push("Layer 1 多域统计或三 cohort 复跑闸门异常");
if (!artifactCorpus.layer4.highest.includes("中文新闻 · 0.910") || !artifactCorpus.layer4.largest.includes("中文新闻 ↔ Python 代码 · 0.150") || !artifactCorpus.layer4.heatTitle.includes("layer 4")) failures.push("Layer 4 多域路由切换异常");
if (!artifactCorpus.matched16.highest.includes("Python 代码 · 0.969") || artifactCorpus.matched16.cohortTitle !== "同样本 · 16 tokens" || !artifactCorpus.matched16.tokens.every((value) => value.includes("512 tokens"))) failures.push("16-token 同源 cohort 切换异常");
if (!artifactCorpus.matched24.highest.includes("Python 代码 · 0.718") || artifactCorpus.matched24.cohortTitle !== "同样本 · 24 tokens" || !artifactCorpus.matched24.tokens.every((value) => value.includes("768 tokens"))) failures.push("24-token 同源 cohort 切换异常");
if (artifactCorpus.matched24.deltaCards !== 4 || artifactCorpus.matched24.lengthLargest !== "Python 代码 · Δ -0.251" || artifactCorpus.matched24.lengthJsd !== "0.091 → 0.065 · Δ -0.026") failures.push("16→24 token 成对敏感性结论异常");
if (!artifactCorpus.tokenWeighted.heatTitle.includes("token 加权") || !artifactCorpus.tokenWeighted.modeNote.includes("理论上重合")) failures.push("等长 cohort 聚合口径切换异常");
if (artifactTemplate.layer1Content.panel !== "template" || artifactTemplate.layer1Content.domainCards !== 4 || artifactTemplate.layer1Content.depthRows !== 4 || artifactTemplate.layer1Content.depthCells !== 24 || artifactTemplate.layer1Content.exact !== "BYTE-EXACT") failures.push("官方模板扰动结构或独立复跑闸门异常");
if (artifactTemplate.layer1Content.domains[0].values !== "0.633 → 0.593" || artifactTemplate.layer1Content.domains[0].delta !== "Δ -0.040" || artifactTemplate.layer1Content.domains[1].delta !== "Δ -0.049") failures.push("L1 对齐内容模板敏感性统计异常");
if (artifactTemplate.layer1Content.prefixExact !== "3,642 / 3,642 EXACT · L1" || artifactTemplate.layer1Content.contentZero !== "4 / 4 DOMAINS · Δ 0") failures.push("L1 causal suffix 负对照异常");
if (artifactTemplate.layer6Content.domains.some((domain) => domain.className !== "up") || artifactTemplate.layer6Content.domains[0].delta !== "Δ +0.060" || artifactTemplate.layer6Content.domains[2].delta !== "Δ +0.058") failures.push("L6 对齐内容跨域方向异常");
if (artifactTemplate.layer6Full.domains[0].delta !== "Δ +0.134" || !artifactTemplate.layer6Full.note.includes("完整输入") || artifactTemplate.layer6Full.activeScope !== "full_input") failures.push("模板完整输入 scope 切换异常");
if (artifactTemplate.layer6FullToken.activeMode !== "token_weighted" || artifactTemplate.layer2Content.activeLayer !== "L2" || artifactTemplate.layer2Content.domains[2].delta !== "Δ -0.067") failures.push("模板层或聚合口径切换异常");
if (artifactHistory.layer1Interaction.panel !== "history" || artifactHistory.layer1Interaction.matrixRows !== 2 || artifactHistory.layer1Interaction.matrixCells !== 4 || artifactHistory.layer1Interaction.domainCards !== 4 || artifactHistory.layer1Interaction.depthRows !== 4 || artifactHistory.layer1Interaction.depthCells !== 24 || artifactHistory.layer1Interaction.exact !== "BYTE-EXACT") failures.push("消息历史 2×2 结构或独立复跑闸门异常");
if (artifactHistory.layer1Interaction.domains[0].cells.map((cell) => cell.value).join("/") !== "0.596/0.810/0.779/0.737" || artifactHistory.layer1Interaction.domains[0].effect !== "INTERACTION · Δ -0.256" || artifactHistory.layer1Interaction.domains[1].effect !== "INTERACTION · Δ +0.150") failures.push("L1 消息历史四格或 interaction 统计异常");
if (artifactHistory.layer1Interaction.bufferSummary.join("|") !== "24 / 24 ↓|.073 → .019|21 / 24 ↓|HISTORY BUFFER" || artifactHistory.layer1Interaction.bufferCards.length !== 4 || !artifactHistory.layer1Interaction.bufferCards[0].tv.startsWith("TV ") || !artifactHistory.layer1Interaction.bufferCards[0].stability.includes("top-6 set exact")) failures.push("消息历史缓冲总账或逐 token 稳定性异常");
if (artifactHistory.layer4Interaction.domains[1].cells.map((cell) => cell.value).join("/") !== "0.851/0.611/0.719/0.683" || artifactHistory.layer4Interaction.domains[1].effect !== "INTERACTION · Δ +0.204") failures.push("L4 中文消息历史 interaction 异常");
if (artifactHistory.layer4System.domains[0].effect !== "SYSTEM MAIN · Δ -0.082" || artifactHistory.layer4System.activeEffect !== "system_main" || !artifactHistory.layer4System.depthTitle.includes("System main")) failures.push("消息历史 effect 切换异常");
if (artifactHistory.layer4FullSystem.domains[0].effect !== "SYSTEM MAIN · Δ -0.057" || artifactHistory.layer4FullSystem.activeScope !== "full_input" || !artifactHistory.layer4FullSystem.note.includes("完整输入")) failures.push("消息历史完整输入 scope 异常");
if (artifactHistory.layer4FullToken.activeMode !== "token_weighted" || artifactHistory.restored.activeScope !== "target_content" || artifactHistory.restored.activeMode !== "prompt_balanced" || artifactHistory.restored.activeEffect !== "interaction") failures.push("消息历史聚合口径或恢复状态异常");
if (artifactDistance.layer1Filler.panel !== "distance" || artifactDistance.layer1Filler.matrixRows !== 2 || artifactDistance.layer1Filler.matrixCells !== 6 || artifactDistance.layer1Filler.domainCards !== 4 || artifactDistance.layer1Filler.depthRows !== 4 || artifactDistance.layer1Filler.depthCells !== 24 || artifactDistance.layer1Filler.exact !== "BYTE-EXACT") failures.push("等长历史 2×3 结构或独立复跑闸门异常");
if (artifactDistance.layer1Filler.domains[0].values.map((cell) => cell.value).join("/") !== "0.106/0.056/0.024" || artifactDistance.layer1Filler.domains[0].effect !== "FILLER − NONE · ΔTV -0.050" || artifactDistance.layer1Filler.domains[1].effect !== "FILLER − NONE · ΔTV -0.050") failures.push("L1 等长 filler 阶梯统计异常");
if (artifactDistance.layer1Filler.summary.join("|") !== "24 / 24 ↓|24 / 24 ↓|.074 → .038 → .019|NOT PURE DISTANCE" || !artifactDistance.layer1Filler.domains[0].stability.includes("target top-6 set exact") || !artifactDistance.layer1Filler.domains[0].lexical.includes("filler↔demo TV")) failures.push("等长历史双台阶总账或逐 token 稳定性异常");
if (artifactDistance.layer4Filler.domains[1].values.map((cell) => cell.value).join("/") !== "0.071/0.029/0.015" || artifactDistance.layer4Filler.domains[1].effect !== "FILLER − NONE · ΔTV -0.043") failures.push("L4 中文 filler 阶梯异常");
if (artifactDistance.layer4Demo.domains[1].effect !== "DEMO − FILLER · ΔTV -0.014" || artifactDistance.layer4Demo.activeContrast !== "demo_minus_filler" || !artifactDistance.layer4Demo.depthTitle.includes("文本替换")) failures.push("等长历史文本替换 contrast 异常");
if (artifactDistance.layer4FullDemo.domains[1].effect !== "DEMO − FILLER · ΔTV -0.023" || artifactDistance.layer4FullDemo.activeScope !== "full_input" || !artifactDistance.layer4FullDemo.note.includes("完整输入")) failures.push("等长历史完整输入 scope 异常");
if (artifactDistance.layer4FullToken.activeMode !== "token_weighted" || artifactDistance.restored.activeScope !== "target_content" || artifactDistance.restored.activeMode !== "prompt_balanced" || artifactDistance.restored.activeContrast !== "filler_minus_none") failures.push("等长历史聚合口径或恢复状态异常");
if (artifactEvidence.panel !== "evidence" || artifactEvidence.layers !== 27 || artifactEvidence.executed !== 7 || artifactEvidence.split !== 1 || artifactEvidence.unloaded !== 19 || artifactEvidence.exact !== "31 / 31") failures.push("真实工件执行边界或复跑闸门异常");
if (!artifactEvidence.dependency.includes("Transformers 5.5") || !artifactEvidence.dependency.includes("4.41.2") || !artifactEvidence.boundary.includes("完整 27 层生成")) failures.push("依赖版本或未覆盖边界异常");
if (artifactEvidence.keyboardSelected !== "load" || artifactEvidence.keyboardVisible !== "load") failures.push("真实工件实验键盘 tab 导航异常");
if (home.releaseCards !== 17 || !home.firstRelease.includes("47 页不再压成摘要") || home.firstHref !== "/k3/" || home.paperCount !== "486") failures.push("首页 DeepSeek 首发入口或论文数异常");
if (papers.total !== 486 || !papers.hasFilter || papers.visible < 20 || !papers.hasCoder || !papers.hasEngram) failures.push("论文库 DeepSeek 聚光异常");
if (!mobile.menuVisible || mobile.menuOpen !== "true" || mobile.tabs !== 4 || mobile.artifactTabs !== 9 || mobile.artifactHeatCells !== 64 || mobile.corpusCohorts !== 3 || mobile.lengthDeltaCards !== 4 || mobile.templateLayers !== 6 || mobile.templateScopes !== 2 || mobile.templateModes !== 2 || mobile.templateDomainCards !== 4 || mobile.templateDepthCells !== 24 || mobile.historyLayers !== 6 || mobile.historyScopes !== 2 || mobile.historyModes !== 2 || mobile.historyEffects !== 3 || mobile.historyDomainCards !== 4 || mobile.historyDepthCells !== 24 || mobile.distanceLayers !== 6 || mobile.distanceScopes !== 2 || mobile.distanceModes !== 2 || mobile.distanceContrasts !== 2 || mobile.distanceDomainCards !== 4 || mobile.distanceDepthCells !== 24) failures.push("移动端导航或实验异常");
if (mobile.offenders.length) failures.push(`移动端越界元素：${JSON.stringify(mobile.offenders)}`);
if (exceptions.length) failures.push(`浏览器异常：${exceptions.join(" | ")}`);

if (failures.length) {
  console.error(`\nFAIL\n- ${failures.join("\n- ")}`);
  process.exitCode = 1;
} else {
  console.log("\nPASS DeepSeek browser regression");
}

socket.close();