wuyang
509 lines
31 KiB
JavaScript
509 lines
31 KiB
JavaScript
import { writeFileSync } from "node:fs";
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const cdpPort = process.env.CDP_PORT ?? "9227";
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const baseUrl = process.env.SITE_URL ?? "http://127.0.0.1:4327";
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const pages = await fetch(`http://127.0.0.1:${cdpPort}/json/list`).then((response) => response.json());
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const page = pages.find((entry) => entry.type === "page");
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if (!page) throw new Error(`CDP ${cdpPort} 没有可用页面`);
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const socket = new WebSocket(page.webSocketDebuggerUrl);
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await new Promise((resolve, reject) => {
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socket.addEventListener("open", resolve, { once: true });
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socket.addEventListener("error", reject, { once: true });
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});
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let nextId = 0;
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const pending = new Map();
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const exceptions = [];
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socket.addEventListener("message", (event) => {
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const message = JSON.parse(event.data);
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if (message.id && pending.has(message.id)) {
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const { resolve, reject } = pending.get(message.id);
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pending.delete(message.id);
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if (message.error) reject(new Error(message.error.message));
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else resolve(message.result);
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}
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if (message.method === "Runtime.exceptionThrown") {
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exceptions.push(message.params.exceptionDetails.exception?.description ?? message.params.exceptionDetails.text);
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}
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});
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const command = (method, params = {}) => new Promise((resolve, reject) => {
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const id = ++nextId;
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pending.set(id, { resolve, reject });
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socket.send(JSON.stringify({ id, method, params }));
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});
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const pause = (milliseconds) => new Promise((resolve) => setTimeout(resolve, milliseconds));
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const evaluate = async (expression) => {
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const result = await command("Runtime.evaluate", { expression, returnByValue: true, awaitPromise: true });
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if (result.exceptionDetails) throw new Error(result.exceptionDetails.exception?.description ?? result.exceptionDetails.text);
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return result.result.value;
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};
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const navigate = async (path) => {
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await command("Page.navigate", { url: `${baseUrl}${path}` });
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for (let attempt = 0; attempt < 70; attempt += 1) {
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await pause(100);
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if (await evaluate("document.readyState === 'complete'")) return;
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}
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throw new Error(`${path} 加载超时`);
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};
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const screenshot = async (path) => {
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const result = await command("Page.captureScreenshot", { format: "png", captureBeyondViewport: false });
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writeFileSync(path, Buffer.from(result.data, "base64"));
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};
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await command("Page.enable");
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await command("Runtime.enable");
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await command("Emulation.setDeviceMetricsOverride", {
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width: 1440,
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height: 1100,
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deviceScaleFactor: 1,
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mobile: false,
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});
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await navigate("/deepseek/");
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await screenshot("/tmp/llm-atlas-deepseek-desktop.png");
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const overview = await evaluate(`(() => ({
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title: document.querySelector("h1")?.textContent.trim(),
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sections: document.querySelectorAll(".article-section").length,
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tocLinks: document.querySelectorAll(".side-rail a").length,
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ledgers: document.querySelectorAll(".ledger-card").length,
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waves: document.querySelectorAll(".wave-grid > article").length,
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paperLinks: document.querySelectorAll("[data-deepseek-paper-chain] a").length,
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labTabs: document.querySelectorAll("[data-ds-tab]").length,
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labPanels: document.querySelectorAll("[data-ds-panel]").length,
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artifactTabs: document.querySelectorAll("[data-artifact-tab]").length,
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artifactPanels: document.querySelectorAll("[data-artifact-panel]").length,
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artifactLayers: document.querySelectorAll(".layer-evidence > span").length,
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branches: document.querySelectorAll(".branch-grid > a").length,
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followups: document.querySelectorAll(".lineage-row.followup").length,
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navLinks: document.querySelectorAll(".top-nav a").length,
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activeNav: document.querySelector('.top-nav a[aria-current="page"]')?.textContent.trim(),
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documentOverflow: document.documentElement.scrollWidth - document.documentElement.clientWidth,
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}))()`);
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const capacity = await evaluate(`(() => {
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const root = document.querySelector("[data-deepseek-lab]");
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const read = () => ({
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panel: root.querySelector("[data-ds-panel]:not([hidden])").dataset.dsPanel,
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total: root.querySelector("[data-total-capacity]").textContent.trim(),
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active: root.querySelector("[data-active-compute]").textContent.trim(),
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combinations: root.querySelector("[data-combinations]").textContent.trim(),
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communication: root.querySelector("[data-communication]").textContent.trim(),
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name: root.querySelector("[data-capacity-name]").textContent.trim(),
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explain: root.querySelector("[data-capacity-explain]").textContent.trim(),
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});
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const initial = read();
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root.querySelector('[data-capacity-preset="dense"]').click();
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const dense = read();
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root.querySelector('[data-capacity-preset="deepseekmoe"]').click();
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const fine = read();
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root.querySelector('[data-capacity-preset="v3"]').click();
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const v3 = read();
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return { initial, dense, fine, v3 };
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})()`);
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const cache = await evaluate(`(() => {
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const root = document.querySelector("[data-deepseek-lab]");
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root.querySelector('[data-ds-tab="cache"]').click();
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const read = () => ({
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panel: root.querySelector("[data-ds-panel]:not([hidden])").dataset.dsPanel,
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mha: root.querySelector("[data-mha-elements]").textContent.trim(),
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gqa: root.querySelector("[data-gqa-elements]").textContent.trim(),
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mla: root.querySelector("[data-mla-elements]").textContent.trim(),
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rope: root.querySelector("[data-rope-cache]").textContent.trim(),
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selected: root.querySelector("[data-selected-cache]").textContent.trim(),
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baseline: root.querySelector("[data-mha-cache]").textContent.trim(),
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reduction: root.querySelector("[data-cache-reduction]").textContent.trim(),
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boundary: root.querySelector("[data-cache-boundary]").textContent.trim(),
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});
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const initial = read();
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const rope = root.querySelector("[data-rope-dim]");
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rope.value = "0";
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rope.dispatchEvent(new Event("input", { bubbles: true }));
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const noRope = read();
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const context = root.querySelector("[data-context-length]");
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context.value = "1048576";
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context.dispatchEvent(new Event("input", { bubbles: true }));
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const million = read();
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return { initial, noRope, million };
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})()`);
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const codesign = await evaluate(`(() => {
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const root = document.querySelector("[data-deepseek-lab]");
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root.querySelector('[data-ds-tab="codesign"]').click();
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const readSchedule = () => ({
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bubble: root.querySelector("[data-bubble]").textContent.trim(),
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exposed: root.querySelector("[data-exposed-comm]").textContent.trim(),
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});
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const oneWay = readSchedule();
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root.querySelector('[data-schedule="dual"]').click();
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const dual = readSchedule();
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root.querySelector('[data-precision="naive"]').click();
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const naive = {
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risk: root.querySelector("[data-risk-label]").textContent.trim(),
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accum: root.querySelector("[data-accum-dtype]").textContent.trim(),
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explain: root.querySelector("[data-precision-explain]").textContent.trim(),
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};
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root.querySelector('[data-precision="mixed"]').click();
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const mixed = {
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risk: root.querySelector("[data-risk-label]").textContent.trim(),
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accum: root.querySelector("[data-accum-dtype]").textContent.trim(),
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sensitive: root.querySelector("[data-sensitive-dtype]").textContent.trim(),
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};
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root.querySelector('[data-mtp-role="off"]').click();
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const off = root.querySelector("[data-mtp-supervision]").textContent.trim();
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root.querySelector('[data-mtp-role="draft"]').click();
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const draft = {
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supervision: root.querySelector("[data-mtp-supervision]").textContent.trim(),
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cost: root.querySelector("[data-mtp-main-cost]").textContent.trim(),
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explain: root.querySelector("[data-mtp-explain]").textContent.trim(),
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};
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return { panel: root.querySelector("[data-ds-panel]:not([hidden])").dataset.dsPanel, oneWay, dual, naive, mixed, off, draft };
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})()`);
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const rl = await evaluate(`(() => {
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const root = document.querySelector("[data-deepseek-lab]");
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root.querySelector('[data-ds-tab="rl"]').click();
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const read = () => ({
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signal: root.querySelector("[data-signal-state]").textContent.trim(),
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mean: root.querySelector("[data-reward-mean]").textContent.trim(),
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std: root.querySelector("[data-reward-std]").textContent.trim(),
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effective: root.querySelector("[data-effective]").textContent.trim(),
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provenance: root.querySelector("[data-provenance]").textContent.trim(),
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algorithm: root.querySelector("[data-algorithm-name]").textContent.trim(),
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boundary: root.querySelector("[data-rl-boundary]").textContent.trim(),
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weights: [...root.querySelectorAll("[data-advantage-rows] > div span:last-child")].map((node) => node.textContent.trim()),
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});
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const initial = read();
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root.querySelector('[data-reward-preset="same"]').click();
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const same = read();
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root.querySelector('[data-reward-preset="longwrong"]').click();
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root.querySelector('[data-rl-algorithm="dapo"]').click();
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const dapo = read();
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root.querySelector('[data-rl-algorithm="dr"]').click();
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const dr = read();
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root.querySelector('[data-r1-mode="r1"]').click();
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const r1 = root.querySelector("[data-r1-mode-explain]").textContent.trim();
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root.querySelector('[data-r1-mode="distill"]').click();
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const distill = root.querySelector("[data-r1-mode-explain]").textContent.trim();
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const first = root.querySelector('[data-ds-tab="capacity"]');
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first.focus();
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first.dispatchEvent(new KeyboardEvent("keydown", { key: "ArrowRight", bubbles: true }));
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return {
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initial, same, dapo, dr, r1, distill,
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keyboardSelected: root.querySelector('[data-ds-tab][aria-selected="true"]').dataset.dsTab,
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keyboardVisible: root.querySelector("[data-ds-panel]:not([hidden])").dataset.dsPanel,
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};
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})()`);
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const artifactRoute = await evaluate(`(() => {
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const root = document.querySelector("[data-dsv2-lab]");
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const read = () => ({
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panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
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position: root.querySelector("[data-route-position]").textContent.trim(),
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piece: root.querySelector("[data-route-piece]").textContent.trim(),
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tokenId: root.querySelector("[data-route-token-id]").textContent.trim(),
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weightSum: root.querySelector("[data-route-weight-sum]").textContent.trim(),
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chosen: [...root.querySelectorAll("[data-route-experts] article")].map((node) => ({
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expert: node.querySelector("b").textContent.trim(),
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weight: node.querySelector("small").textContent.trim(),
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})),
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heatCells: root.querySelectorAll("[data-route-heatmap] > span").length,
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selectedCells: root.querySelectorAll("[data-route-heatmap] > span.selected").length,
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routes: root.querySelector("[data-route-count]").textContent.trim(),
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used: root.querySelector("[data-route-used]").textContent.trim(),
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cv: root.querySelector("[data-route-cv]").textContent.trim(),
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effective: root.querySelector("[data-route-effective]").textContent.trim(),
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});
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const initial = read();
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const layer = root.querySelector("[data-route-layer]");
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const prompt = root.querySelector("[data-route-prompt]");
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const token = root.querySelector("[data-route-token]");
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layer.value = "4";
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layer.dispatchEvent(new Event("change", { bubbles: true }));
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prompt.value = "en_architecture";
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prompt.dispatchEvent(new Event("change", { bubbles: true }));
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token.value = String(token.options.length - 1);
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token.dispatchEvent(new Event("change", { bubbles: true }));
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const switched = read();
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return { initial, switched, tokenOptions: token.options.length };
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})()`);
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const artifactLoad = await evaluate(`(() => {
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const root = document.querySelector("[data-dsv2-lab]");
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root.querySelector('[data-artifact-tab="load"]').click();
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const read = () => ({
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panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
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used: root.querySelector("[data-load-used]").textContent.trim(),
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zero: root.querySelector("[data-load-zero]").textContent.trim(),
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cv: root.querySelector("[data-load-cv]").textContent.trim(),
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gini: root.querySelector("[data-load-gini]").textContent.trim(),
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effective: root.querySelector("[data-load-effective]").textContent.trim(),
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rows: root.querySelectorAll("[data-load-rows] > div").length,
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jaccards: root.querySelectorAll("[data-load-jaccard] > article").length,
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});
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const layer1 = read();
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root.querySelector('[data-load-layer="2"]').click();
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const layer2 = read();
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root.querySelector('[data-load-layer="4"]').click();
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const layer4 = read();
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return { layer1, layer2, layer4 };
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})()`);
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const artifactCache = await evaluate(`(() => {
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const root = document.querySelector("[data-dsv2-lab]");
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root.querySelector('[data-artifact-tab="cache"]').click();
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const read = () => ({
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panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
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latent: root.querySelector("[data-cache-latent-bytes]").textContent.trim(),
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eager: root.querySelector("[data-cache-eager-bytes]").textContent.trim(),
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ratio: root.querySelector("[data-cache-ratio]").textContent.trim(),
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reduction: root.querySelector("[data-cache-reduction]").textContent.trim(),
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});
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const trace = read();
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const context = root.querySelector("[data-cache-context]");
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const batch = root.querySelector("[data-cache-batch]");
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const layers = root.querySelector("[data-cache-layers]");
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context.value = "1048576";
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context.dispatchEvent(new Event("change", { bubbles: true }));
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batch.value = "8";
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batch.dispatchEvent(new Event("input", { bubbles: true }));
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layers.value = "27";
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layers.dispatchEvent(new Event("input", { bubbles: true }));
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const million = read();
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return { trace, million };
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})()`);
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const artifactAbsorb = await evaluate(`(() => {
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const root = document.querySelector("[data-dsv2-lab]");
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root.querySelector('[data-artifact-tab="absorb"]').click();
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return {
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panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
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algebra: root.querySelectorAll(".absorb-algebra article").length,
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naive: root.querySelector(".absorb-cache-flow .naive header b").textContent.trim(),
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absorbed: root.querySelector(".absorb-cache-flow .absorbed header b").textContent.trim(),
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metrics: [...root.querySelectorAll(".absorb-metrics article b")].map((node) => node.textContent.trim()),
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precisionRows: root.querySelectorAll(".precision-lens > div").length,
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matrixRows: root.querySelectorAll(".kernel-matrix > div").length,
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localUnsupported: root.querySelectorAll(".kernel-matrix i.no").length,
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executionCards: root.querySelectorAll(".execution-split article").length,
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boundary: root.querySelector('[data-artifact-panel="absorb"] .artifact-boundary').textContent.replaceAll(/\\s+/g, " ").trim(),
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};
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})()`);
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await evaluate(`(() => {
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document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
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window.scrollBy(0, -82);
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})()`);
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await pause(180);
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await screenshot("/tmp/llm-atlas-deepseek-absorb-desktop.png");
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const artifactCorpus = await evaluate(`(() => {
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const root = document.querySelector("[data-dsv2-lab]");
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root.querySelector('[data-artifact-tab="corpus"]').click();
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const read = () => ({
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panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
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rows: root.querySelectorAll("[data-corpus-domain-rows] > div").length,
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tokens: [...root.querySelectorAll("[data-corpus-domain-rows] > div > span:first-child > small")].map((node) => node.textContent.trim()),
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heatRows: root.querySelectorAll("[data-corpus-heatmap] > div").length,
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heatCells: root.querySelectorAll("[data-corpus-heatmap] > div > span").length,
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jsdCells: root.querySelectorAll("[data-corpus-jsd] > *").length,
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highest: root.querySelector("[data-corpus-highest-cv]").textContent.trim(),
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largest: root.querySelector("[data-corpus-largest-jsd]").textContent.trim(),
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heatTitle: root.querySelector("[data-corpus-heat-title]").textContent.trim(),
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cohortTitle: root.querySelector("[data-corpus-cohort-title]").textContent.trim(),
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exact: root.querySelector(".corpus-ledger .exact b").textContent.trim(),
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modeNote: root.querySelector("[data-corpus-mode-note]").textContent.trim(),
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deltaCards: root.querySelectorAll("[data-length-delta-grid] > article").length,
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lengthJsd: root.querySelector("[data-length-jsd]").textContent.trim(),
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lengthLargest: root.querySelector("[data-length-largest]").textContent.trim(),
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});
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const layer1 = read();
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root.querySelector('[data-corpus-layer="4"]').click();
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const layer4 = read();
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root.querySelector('[data-corpus-cohort="matched16"]').click();
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root.querySelector('[data-corpus-layer="2"]').click();
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const matched16 = read();
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root.querySelector('[data-corpus-cohort="matched24"]').click();
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const matched24 = read();
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root.querySelector('[data-corpus-mode="token_weighted"]').click();
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const tokenWeighted = read();
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return { layer1, layer4, matched16, matched24, tokenWeighted };
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})()`);
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await evaluate(`(() => {
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document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
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window.scrollBy(0, -82);
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})()`);
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await pause(180);
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await screenshot("/tmp/llm-atlas-deepseek-corpus-desktop.png");
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await evaluate(`(() => {
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document.querySelector(".length-sensitivity").scrollIntoView({ block: "start", behavior: "instant" });
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window.scrollBy(0, -82);
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})()`);
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await pause(120);
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await screenshot("/tmp/llm-atlas-deepseek-length-sensitivity-desktop.png");
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const artifactEvidence = await evaluate(`(() => {
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const root = document.querySelector("[data-dsv2-lab]");
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root.querySelector('[data-artifact-tab="evidence"]').click();
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const result = {
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panel: root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel,
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layers: root.querySelectorAll(".layer-evidence > span").length,
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executed: root.querySelectorAll(".layer-evidence > span.executed").length,
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split: root.querySelectorAll(".layer-evidence > span.split").length,
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unloaded: root.querySelectorAll(".layer-evidence > span.unloaded").length,
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exact: root.querySelector(".repro-gate strong").textContent.trim(),
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dependency: root.querySelector(".dependency-split").textContent.replaceAll(/\\s+/g, " ").trim(),
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boundary: root.querySelector('[data-artifact-panel="evidence"] .artifact-boundary').textContent.replaceAll(/\\s+/g, " ").trim(),
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};
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const first = root.querySelector('[data-artifact-tab="route"]');
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first.focus();
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first.dispatchEvent(new KeyboardEvent("keydown", { key: "ArrowRight", bubbles: true }));
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result.keyboardSelected = root.querySelector('[data-artifact-tab][aria-selected="true"]').dataset.artifactTab;
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result.keyboardVisible = root.querySelector("[data-artifact-panel]:not([hidden])").dataset.artifactPanel;
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return result;
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})()`);
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await evaluate(`(() => {
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document.querySelector("[data-dsv2-lab]").scrollIntoView({ block: "start", behavior: "instant" });
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window.scrollBy(0, -82);
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})()`);
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await pause(180);
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await screenshot("/tmp/llm-atlas-deepseek-artifact-desktop.png");
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|
||
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,
|
||
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");
|
||
|
||
const report = { overview, capacity, cache, codesign, rl, artifactRoute, artifactLoad, artifactCache, artifactAbsorb, artifactCorpus, 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 !== 6 || overview.artifactPanels !== 6 || overview.artifactLayers !== 27) failures.push("真实权重六联实验结构异常");
|
||
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 (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 !== 6 || mobile.artifactHeatCells !== 64 || mobile.corpusCohorts !== 3 || mobile.lengthDeltaCards !== 4) 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();
|