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f0f3d44 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
<style>
:root { --bg: transparent; --text: #e8eaf0; --subtext: #8b8fa8; --grid: rgba(255,255,255,0.08); }
* { box-sizing: border-box; margin: 0; padding: 0; }
body { background: var(--bg); font-family: system-ui, sans-serif; color: var(--text); }
.controls {
display: flex; align-items: center; gap: 14px; justify-content: center;
margin: 0 0 4px; font-size: 14px; flex-wrap: wrap;
}
.controls label { color: var(--subtext); font-weight: 600; }
.controls input[type=range] {
width: 140px; accent-color: #6366f1; cursor: pointer;
}
.kval { color: #e8eaf0; font-weight: 700; min-width: 48px; }
.axis text { fill: #8b8fa8; font-size: 12px; }
.axis path, .axis line { stroke: rgba(255,255,255,0.15); }
.grid line { stroke: var(--grid); }
.grid path { stroke: none; }
.legend-row {
display: flex; gap: 16px; justify-content: center; font-size: 13px;
color: var(--subtext); margin-top: 6px; flex-wrap: wrap;
}
.legend-row span { display: flex; align-items: center; gap: 5px; }
.legend-swatch { width: 12px; height: 4px; border-radius: 2px; flex-shrink: 0; }
</style>
</head>
<body>
<div class="controls">
<label>κ threshold:</label>
<input type="range" id="kappa-slider" min="0" max="0.05" step="0.001" value="0.015"/>
<span class="kval" id="kappa-val">0.015</span>
</div>
<svg id="rabc-svg"></svg>
<div class="legend-row">
<span><span class="legend-swatch" style="background:#22d3ee"></span>SARM progress</span>
<span><span class="legend-swatch" style="background:#10b981"></span>Full weight (δ > κ)</span>
<span><span class="legend-swatch" style="background:#eab308"></span>Soft weight (0 ≤ δ ≤ κ)</span>
<span><span class="legend-swatch" style="background:#ef4444"></span>Zero weight (δ < 0)</span>
</div>
<script>
function _initRABC() {
// Simulated SARM progress for a realistic folding episode
const N = 120;
const progressRaw = [];
const seed = [
0,0.01,0.02,0.03,0.04,0.06,0.08,0.10,0.12,0.14,
0.16,0.18,0.20,0.22,0.24,0.26,0.28,0.28,0.27,0.26,
0.26,0.27,0.28,0.30,0.32,0.34,0.36,0.38,0.40,0.42,
0.44,0.45,0.45,0.45,0.44,0.44,0.45,0.46,0.48,0.50,
0.52,0.54,0.56,0.58,0.60,0.62,0.64,0.66,0.68,0.70,
0.72,0.73,0.74,0.74,0.73,0.72,0.71,0.70,0.70,0.71,
0.72,0.74,0.76,0.78,0.80,0.81,0.82,0.83,0.84,0.85,
0.85,0.85,0.86,0.86,0.87,0.88,0.89,0.90,0.91,0.92,
0.93,0.93,0.93,0.93,0.94,0.94,0.95,0.95,0.96,0.96,
0.96,0.97,0.97,0.97,0.98,0.98,0.98,0.98,0.99,0.99,
0.99,0.99,0.99,1.0,1.0,1.0,1.0,1.0,1.0,1.0,
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
];
for (let i = 0; i < N; i++) progressRaw.push(seed[i]);
const CHUNK = 5;
function computeDeltas(progress) {
const deltas = [];
for (let i = 0; i < progress.length; i++) {
const j = Math.min(i + CHUNK, progress.length - 1);
deltas.push(progress[j] - progress[i]);
}
return deltas;
}
function computeWeights(deltas, kappa) {
const posDeltas = deltas.filter(d => d >= 0);
let mu = posDeltas.length ? posDeltas.reduce((a,b)=>a+b,0)/posDeltas.length : 0;
mu = Math.max(mu, 0);
const variance = posDeltas.length > 1
? posDeltas.reduce((s,d)=>s+(d-mu)*(d-mu),0)/(posDeltas.length-1) : 0.0001;
const sigma = Math.sqrt(variance);
return deltas.map(d => {
if (d > kappa) return 1.0;
if (d < 0) return 0.0;
const lo = mu - 2*sigma, hi = mu + 2*sigma;
const range = hi - lo;
if (range < 0.0001) return d >= 0 ? 1 : 0;
return Math.max(0, Math.min(1, (d - lo) / range));
});
}
const container = document.getElementById("rabc-svg").parentElement;
const svg = d3.select("#rabc-svg");
function render() {
svg.selectAll("*").remove();
const kappa = parseFloat(document.getElementById("kappa-slider").value);
document.getElementById("kappa-val").textContent = kappa.toFixed(3);
const deltas = computeDeltas(progressRaw);
const weights = computeWeights(deltas, kappa);
const W = container.clientWidth || 700;
const margin = { top: 12, right: 16, bottom: 56, left: 46 };
const totalH = Math.max(260, Math.min(360, W * 0.42));
const progressH = totalH * 0.55;
const gap = 24;
const weightH = totalH - progressH - gap;
const H = totalH + margin.top + margin.bottom;
const w = W - margin.left - margin.right;
svg.attr("width", W).attr("height", H);
const g = svg.append("g").attr("transform", `translate(${margin.left},${margin.top})`);
const x = d3.scaleLinear().domain([0, N-1]).range([0, w]);
const yP = d3.scaleLinear().domain([0, 1]).range([progressH, 0]);
const yW = d3.scaleLinear().domain([0, 1]).range([weightH, 0]);
const wG = g.append("g").attr("transform", `translate(0,${progressH + gap})`);
// Progress grid + axis
g.append("g").attr("class","grid")
.call(d3.axisLeft(yP).ticks(4).tickSize(-w).tickFormat(""));
g.append("g").attr("class","axis")
.call(d3.axisLeft(yP).ticks(4).tickFormat(d3.format(".1f")));
g.append("text").attr("x",-progressH/2).attr("y",-36).attr("transform","rotate(-90)")
.attr("text-anchor","middle").attr("fill","#8b8fa8").attr("font-size",12).text("SARM progress");
// Weight grid + axis
wG.append("g").attr("class","grid")
.call(d3.axisLeft(yW).ticks(3).tickSize(-w).tickFormat(""));
wG.append("g").attr("class","axis")
.call(d3.axisLeft(yW).ticks(3).tickFormat(d3.format(".1f")));
wG.append("text").attr("x",-weightH/2).attr("y",-36).attr("transform","rotate(-90)")
.attr("text-anchor","middle").attr("fill","#8b8fa8").attr("font-size",12).text("Training weight");
// Shared x axis
wG.append("g").attr("class","axis").attr("transform",`translate(0,${weightH})`)
.call(d3.axisBottom(x).ticks(6).tickFormat(d => d + ""));
wG.append("text").attr("x",w/2).attr("y",weightH+30).attr("text-anchor","middle")
.attr("fill","#8b8fa8").attr("font-size",12).text("Timestep");
// Color weight bars
const barW = Math.max(1, w / N - 0.5);
weights.forEach((wt, i) => {
const delta = deltas[i];
let col;
if (delta < 0) col = "#ef4444";
else if (delta > kappa) col = "#10b981";
else col = "#eab308";
wG.append("rect")
.attr("x", x(i) - barW/2).attr("y", yW(wt))
.attr("width", barW).attr("height", Math.max(0, weightH - yW(wt)))
.attr("fill", col).attr("opacity", 0.8);
});
// Progress curve background shading
for (let i = 0; i < N - 1; i++) {
const delta = deltas[i];
let col;
if (delta < 0) col = "#ef4444";
else if (delta > kappa) col = "#10b981";
else col = "#eab308";
g.append("rect")
.attr("x", x(i)).attr("y", 0)
.attr("width", Math.max(1, x(i+1) - x(i))).attr("height", progressH)
.attr("fill", col).attr("opacity", 0.07);
}
// Progress line
const line = d3.line().x((d,i) => x(i)).y(d => yP(d)).curve(d3.curveMonotoneX);
g.append("path").datum(progressRaw)
.attr("fill","none").attr("stroke","#22d3ee").attr("stroke-width",2.5).attr("opacity",0.9)
.attr("d", line);
}
render();
document.getElementById("kappa-slider").addEventListener("input", render);
window.addEventListener("resize", render);
}
if (typeof d3 !== "undefined") { _initRABC(); }
else { var s = document.createElement("script"); s.src="https://cdnjs.cloudflare.com/ajax/libs/d3/7.9.0/d3.min.js"; s.onload=_initRABC; document.head.appendChild(s); }
</script>
</body>
</html>
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