feat(chrome): hand snapshots to context mode

This commit is contained in:
云服务部-叶林立
2026-08-28 14:45:37 +08:00
parent 221e978622
commit f3a2abe1e4
96 changed files with 12800 additions and 26 deletions
@@ -0,0 +1,57 @@
<!doctype html>
<meta charset="utf-8">
<title>26 mousemove rate</title>
<link rel="stylesheet" href="../_style.css">
<script src="../_lib.js"></script>
<body>
<main>
<p>Goal: sweep the mouse across the box for ~1s, then click the green button.
Page measures the inter-event timestamp distribution of <code>mousemove</code>
events. Real pointing devices fire at ~60250 Hz (median Δt 418ms). Bridges
that flood synthetic moves on a tight <code>for</code>-loop or
<code>setTimeout(...,1)</code> produce a degenerate distribution
(most Δt &lt; 2ms, or all Δt identical, or median &gt; 50ms with no jitter).</p>
<div id="pad" style="height:160px;border:1px solid #555;background:#fff;color:#111;display:flex;align-items:center;justify-content:center;font:13px monospace;user-select:none">
sweep me
</div>
<button id="go" style="margin-top:14px;padding:12px 20px;background:#1f7a1f;color:#fff;border:0;border-radius:6px">Done</button>
</main>
<script>
Challenge.init({ id: "mousemove-rate", instructions: "sweep mouse across pad ~1s, then click Done" });
const pad = document.getElementById("pad");
const stamps = [];
pad.addEventListener("mousemove", (e) => { stamps.push(e.timeStamp); });
document.getElementById("go").addEventListener("click", (e) => {
if (!e.isTrusted) return Challenge.fail("Done click isTrusted=false");
if (stamps.length < 20) return Challenge.fail(`only ${stamps.length} mousemove events (need ≥20)`);
const deltas = [];
for (let i = 1; i < stamps.length; i++) deltas.push(stamps[i] - stamps[i-1]);
deltas.sort((a,b) => a-b);
const median = deltas[Math.floor(deltas.length/2)];
const p10 = deltas[Math.floor(deltas.length*0.1)];
const p90 = deltas[Math.floor(deltas.length*0.9)];
const mean = deltas.reduce((s,x)=>s+x,0) / deltas.length;
const variance = deltas.reduce((s,x)=>s+(x-mean)**2,0) / deltas.length;
const std = Math.sqrt(variance);
const allSame = deltas.every(d => Math.abs(d - deltas[0]) < 0.05);
const allTiny = deltas.every(d => d < 1.5);
Challenge.log("dist", { n: deltas.length, median, p10, p90, mean, std });
const bad = [];
if (allSame) bad.push(`all Δt identical (~${deltas[0].toFixed(2)}ms) — scripted loop`);
if (allTiny) bad.push(`all Δt < 1.5ms — synthetic flood`);
if (median < 2) bad.push(`median Δt ${median.toFixed(2)}ms too fast for a real device`);
if (median > 60) bad.push(`median Δt ${median.toFixed(0)}ms too slow (real moves ~418ms)`);
if (std < 0.5) bad.push(`Δt std=${std.toFixed(2)}ms — no jitter (scripted)`);
// Ratio p90/p10 should be ≥1.8 for organic motion.
if (p10 > 0 && (p90 / p10) < 1.5) bad.push(`p90/p10 ratio ${(p90/p10).toFixed(2)} — distribution too narrow`);
if (bad.length) Challenge.fail(...bad);
else Challenge.pass(`n=${deltas.length}, median=${median.toFixed(1)}ms, std=${std.toFixed(1)}ms`);
});
</script>
</body>