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Running on CPU Upgrade
File size: 26,102 Bytes
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<style>
.d3-cost-efficiency { font-family: system-ui, -apple-system, sans-serif; position: relative; }
.d3-cost-efficiency .d3-tooltip {
position: absolute; top: 0; left: 0;
transform: translate(-9999px, -9999px);
pointer-events: none;
padding: 10px 14px; border-radius: 10px;
font-size: 13px; line-height: 1.4;
border: 1px solid var(--border-color);
background: var(--surface-bg); color: var(--text-color);
box-shadow: 0 6px 24px rgba(0,0,0,.22);
opacity: 0; transition: opacity .12s ease;
z-index: 20; max-width: 340px;
}
.d3-cost-efficiency .controls {
display: flex; gap: 16px; align-items: center; justify-content: flex-end; flex-wrap: wrap;
margin-top: 8px;
}
.d3-cost-efficiency .control-group {
display: flex; flex-direction: column; align-items: flex-start; gap: 4px;
}
.d3-cost-efficiency .controls label {
font-size: 13px; font-weight: 700; color: var(--text-color);
}
.d3-cost-efficiency .controls select {
font-size: 13px; padding: 6px 28px 6px 10px; border: 1px solid var(--border-color);
border-radius: 8px; background: var(--surface-bg); color: var(--text-color);
appearance: none; cursor: pointer;
background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='12' height='12' viewBox='0 0 12 12'%3E%3Cpath d='M3 5l3 3 3-3' stroke='%23888' stroke-width='1.5' fill='none'/%3E%3C/svg%3E");
background-repeat: no-repeat; background-position: right 8px center;
}
.d3-cost-efficiency .legend {
display: flex; flex-direction: column; align-items: flex-start; gap: 6px; margin-top: 8px;
}
.d3-cost-efficiency .legend-title { font-size: 13px; font-weight: 700; color: var(--text-color); }
.d3-cost-efficiency .legend .items { display: flex; flex-wrap: wrap; gap: 6px 14px; }
.d3-cost-efficiency .legend .item {
display: inline-flex; align-items: center; gap: 6px; white-space: nowrap;
font-size: 13px; color: var(--text-color); cursor: pointer;
}
.d3-cost-efficiency .legend .swatch {
width: 14px; height: 14px; border-radius: 3px; border: 1px solid var(--border-color);
}
</style>
<script>
(() => {
const ensureD3 = (cb) => {
if (window.d3 && typeof window.d3.select === 'function') return cb();
let s = document.getElementById('d3-cdn-script');
if (!s) { s = document.createElement('script'); s.id = 'd3-cdn-script'; s.src = 'https://cdn.jsdelivr.net/npm/d3@7/dist/d3.min.js'; document.head.appendChild(s); }
const onReady = () => { if (window.d3 && typeof window.d3.select === 'function') cb(); };
s.addEventListener('load', onReady, { once: true });
if (window.d3) onReady();
};
const bootstrap = () => {
const scriptEl = document.currentScript;
let container = scriptEl ? scriptEl.previousElementSibling : null;
while (container && !(container.classList && container.classList.contains('d3-cost-efficiency'))) {
container = container.previousElementSibling;
}
if (!container) {
const cs = Array.from(document.querySelectorAll('.d3-cost-efficiency'))
.filter(el => !(el.dataset && el.dataset.mounted === 'true'));
container = cs[cs.length - 1] || null;
}
if (!container) return;
if (container.dataset.mounted === 'true') return;
container.dataset.mounted = 'true';
let mountEl = container;
while (mountEl && !mountEl.getAttribute?.('data-datafiles')) mountEl = mountEl.parentElement;
const dataAttr = mountEl?.getAttribute?.('data-datafiles');
const dataPaths = dataAttr
? [dataAttr.includes('/') ? dataAttr : `/data/${dataAttr}`]
: ['/data/rephrasing_metadata.json', './assets/data/rephrasing_metadata.json'];
const fetchFirst = async (paths, parse) => {
for (const p of paths) {
try { const r = await fetch(p, { cache: 'no-cache' }); if (r.ok) return parse ? parse(await r.text()) : r.json(); } catch(_) {}
}
throw new Error('Data not found');
};
const csvPaths = ['/data/benchmark-results.csv', './assets/data/benchmark-results.csv'];
Promise.all([
fetchFirst(dataPaths),
fetchFirst(csvPaths, d3.csvParse)
]).then(([data, csvRows]) => buildChart(data, csvRows)).catch(err => {
container.innerHTML = `<pre style="color:red;padding:12px;">Error loading data: ${err.message}</pre>`;
});
function buildChart(rawData, csvRows) {
const SOURCE_MAP = {
'fineweb-edu-hq-20BT': 'FW-Edu HQ', 'fineweb-edu-lq-20BT': 'FW-Edu LQ',
'dclm-37BT': 'DCLM', 'cosmopedia-25BT': 'Cosmopedia'
};
const PROMPT_LABELS = {
'article': 'Article', 'commentary': 'Commentary', 'discussion': 'Discussion',
'faq': 'FAQ', 'math': 'Math', 'table': 'Table', 'tutorial': 'Tutorial',
'distill': 'Distill', 'diverse_qa_pairs': 'Diverse QA',
'extract_knowledge': 'Extract Knowledge', 'knowledge_list': 'Knowledge List',
'wikipedia_style_rephrasing': 'Wikipedia Style',
'guided_rewrite_improved': 'Guided Rewrite+', 'guided_rewrite_original': 'Guided Rewrite'
};
const CAT_MAP = { 'format': 'Format', 'nemotron': 'Nemotron', 'rewire': 'REWIRE' };
const getFamily = (m) => {
const ml = m.toLowerCase();
if (ml.includes('smollm')) return 'SmolLM2';
if (ml.includes('gemma')) return 'Gemma';
if (ml.includes('qwen')) return 'Qwen';
if (ml.includes('falcon')) return 'Falcon';
if (ml.includes('granite')) return 'Granite';
if (ml.includes('llama')) return 'Llama';
return 'Other';
};
const familyColors = {
'Gemma': '#5b9bd5', 'Qwen': '#e07b54', 'SmolLM2': '#e06b9e',
'Falcon': '#c9a046', 'Granite': '#9a8ec2', 'Llama': '#8bc474'
};
const familyOrder = ['Gemma', 'Qwen', 'SmolLM2', 'Falcon', 'Granite', 'Llama'];
const METRICS = [
{ key: 'agg_score_macro', label: 'Aggregate Score (Macro)', group: 'Aggregate' },
{ key: 'agg_score_micro', label: 'Aggregate Score (Micro)', group: 'Aggregate' },
{ key: 'agg_score_RC', label: 'Reading Comprehension', group: 'Aggregate' },
{ key: 'agg_score_GK', label: 'General Knowledge', group: 'Aggregate' },
{ key: 'agg_score_NLU', label: 'Natural Language Understanding', group: 'Aggregate' },
{ key: 'agg_score_MATH', label: 'Math', group: 'Aggregate' },
{ key: 'agg_score_TABLE', label: 'Table Understanding', group: 'Aggregate' },
{ key: 'agg_score_RES', label: 'Reasoning', group: 'Aggregate' },
{ key: 'arc_cf:easy', label: 'ARC-Easy', group: 'Individual' },
{ key: 'drop', label: 'DROP', group: 'Individual' },
{ key: 'gsm8k', label: 'GSM8K', group: 'Individual' },
{ key: 'hellaswag_cf', label: 'HellaSwag', group: 'Individual' },
{ key: 'openbookqa_cf', label: 'OpenBookQA', group: 'Individual' },
{ key: 'piqa_cf', label: 'PIQA', group: 'Individual' },
{ key: 'squad_v2', label: 'SQuAD v2', group: 'Individual' },
{ key: 'treb_qa', label: 'TriviaQA', group: 'Individual' },
{ key: 'wikitablequestions', label: 'WikiTableQuestions', group: 'Individual' },
{ key: 'winogrande_cf', label: 'Winogrande', group: 'Individual' },
{ key: 'xcsqa_cf', label: 'XCSQA', group: 'Individual' },
{ key: 'mmlu_redux_cf:_average', label: 'MMLU Redux', group: 'Individual' }
];
// Map JSON result keys to CSV column names (CSV uses lighteval| prefix for individual benchmarks)
const CSV_COL = (key) => {
if (key.startsWith('agg_score_')) return key;
return `lighteval|${key}|3/prob_norm_token`;
};
const experiments = rawData.map(d => {
const [cat, promptFile] = d.prompt.split('/');
const promptKey = promptFile.replace('.md', '');
return {
run: d.run,
cat: CAT_MAP[cat] || cat,
prompt: PROMPT_LABELS[promptKey] || promptKey,
model: d.model.split('/').pop(),
source: SOURCE_MAP[d.source_dataset] || d.source_dataset,
family: getFamily(d.model),
gpuSeconds: d.gpu_time_seconds,
tpsPerGpu: d.output_tps_per_gpu,
outputTokens: d.output_tokens,
numDocs: d.num_documents,
results: d.results
};
});
// Format GPU time showing the two largest units
const fmtGpuTime = (sec) => {
const d = sec / 86400;
if (d >= 365) { const y = Math.floor(d / 365); const mo = Math.round((d % 365) / 30); return mo ? y + 'y ' + mo + 'mo' : y + 'y'; }
if (d >= 30) { const mo = Math.floor(d / 30); const w = Math.round((d % 30) / 7); return w ? mo + 'mo ' + w + 'w' : mo + 'mo'; }
if (d >= 7) { const w = Math.floor(d / 7); const dd = Math.round(d % 7); return dd ? w + 'w ' + dd + 'd' : w + 'w'; }
return Math.round(d) + 'd';
};
// Compute Pareto frontier (lowest gpu time for highest score)
const pareto = (data, metricKey) => {
const sorted = [...data].sort((a, b) => a.gpuSeconds - b.gpuSeconds);
const frontier = [];
let bestScore = -Infinity;
// Sweep from cheapest to most expensive, keep points that set new high scores
// But we want the *upper-left* frontier, so sweep right and track max
// Actually: Pareto = non-dominated. Point is dominated if another has both lower cost AND higher score.
for (const pt of sorted) {
const score = pt.results[metricKey];
if (score == null) continue;
if (score > bestScore) {
bestScore = score;
frontier.push(pt);
}
}
return frontier;
};
// Extract baseline scores from CSV (max step per baseline run)
const BASELINE_RUNS = {
'dclm': { label: 'DCLM', synthetic: false },
'fw_edu_hq': { label: 'FW-Edu HQ', synthetic: false },
'fw_edu_lq': { label: 'FW-Edu LQ', synthetic: false },
'ultra-fineweb': { label: 'Ultra-FineWeb', synthetic: false },
'cosmopedia': { label: 'Cosmopedia', synthetic: true },
'nemotron_hq_synth': { label: 'Nemotron-HQ-Synth', synthetic: true },
'rewire': { label: 'REWIRE', synthetic: true },
'synth_query_reasoning_answer': { label: 'SYNTH', synthetic: true }
};
const BASELINE_COLOR = '#86a1a9';
const SYNTH_BASELINE_COLOR = '#b07cc8';
const metricKeys = METRICS.map(m => m.key);
const baselines = [];
const bestStep = {};
for (const row of csvRows) {
const run = row.runname;
if (!(run in BASELINE_RUNS)) continue;
const step = +row.steps;
if (!(run in bestStep) || step > bestStep[run].step) {
const results = {};
for (const k of metricKeys) results[k] = +row[CSV_COL(k)];
bestStep[run] = { step, results };
}
}
for (const [run, info] of Object.entries(BASELINE_RUNS)) {
if (run in bestStep) baselines.push({ run, label: info.label, synthetic: info.synthetic, results: bestStep[run].results });
}
let currentMetric = METRICS[0].key;
// SVG
const svg = d3.select(container).append('svg').attr('width', '100%').style('display', 'block');
const gGrid = svg.append('g').attr('class', 'grid');
const gPareto = svg.append('g').attr('class', 'pareto');
const gDots = svg.append('g').attr('class', 'dots');
const gBaselines = svg.append('g').attr('class', 'baselines');
const gAxes = svg.append('g').attr('class', 'axes');
// Tooltip
let tip = container.querySelector('.d3-tooltip');
let tipInner;
if (!tip) {
tip = document.createElement('div'); tip.className = 'd3-tooltip';
tipInner = document.createElement('div'); tipInner.className = 'd3-tooltip__inner';
tipInner.style.textAlign = 'left';
tip.appendChild(tipInner); container.appendChild(tip);
} else { tipInner = tip.querySelector('.d3-tooltip__inner') || tip; }
const margin = { top: 12, right: 16, bottom: 48, left: 56 };
function render() {
const width = container.clientWidth || 800;
const height = Math.max(360, Math.round(width / 2.2));
svg.attr('width', width).attr('height', height);
const iw = width - margin.left - margin.right;
const ih = height - margin.top - margin.bottom;
const metricLabel = METRICS.find(m => m.key === currentMetric)?.label || currentMetric;
// Scales – left bound at 5 days so baseline dots + 1w tick have room
const xScale = d3.scaleLog()
.domain([5 * 86400, d3.max(experiments, d => d.gpuSeconds) * 1.2])
.range([margin.left, width - margin.right]);
const yVals = experiments.map(d => d.results[currentMetric]).filter(v => v != null)
.concat(baselines.map(d => d.results[currentMetric]).filter(v => v != null));
const yPad = (d3.max(yVals) - d3.min(yVals)) * 0.08;
const yScale = d3.scaleLinear()
.domain([d3.min(yVals) - yPad, d3.max(yVals) + yPad])
.range([height - margin.bottom, margin.top]);
// Grid lines
const yTicks = yScale.ticks(6);
gGrid.selectAll('line').data(yTicks).join('line')
.attr('x1', margin.left).attr('x2', width - margin.right)
.attr('y1', d => yScale(d)).attr('y2', d => yScale(d))
.attr('stroke', 'var(--grid-color)').attr('stroke-width', 0.5);
// Axes
gAxes.selectAll('*').remove();
// Tick values at nice human intervals: 1w, 2w, 1mo, 2mo, 4mo, 8mo, 16mo
const tickDays = [7, 14, 30, 60, 120, 240, 480];
const [xMin, xMax] = xScale.domain();
const tickValues = tickDays.map(d => d * 86400).filter(v => v >= xMin && v <= xMax);
const xAxis = d3.axisBottom(xScale).tickValues(tickValues).tickFormat(fmtGpuTime);
gAxes.append('g')
.attr('transform', `translate(0,${height - margin.bottom})`)
.call(xAxis)
.call(g => g.select('.domain').attr('stroke', 'var(--axis-color)'))
.call(g => g.selectAll('.tick line').attr('stroke', 'var(--tick-color)'))
.call(g => g.selectAll('.tick text').attr('fill', 'var(--tick-color)').attr('font-size', '13px'));
const yAxis = d3.axisLeft(yScale).ticks(6).tickFormat(v => { const s = v.toFixed(3); return s.replace(/0$/, ''); });
gAxes.append('g')
.attr('transform', `translate(${margin.left},0)`)
.call(yAxis)
.call(g => g.select('.domain').attr('stroke', 'var(--axis-color)'))
.call(g => g.selectAll('.tick line').attr('stroke', 'var(--tick-color)'))
.call(g => g.selectAll('.tick text').attr('fill', 'var(--tick-color)').attr('font-size', '13px'));
// Axis labels
gAxes.append('text')
.attr('x', margin.left + iw / 2).attr('y', height - 4)
.attr('text-anchor', 'middle').attr('fill', 'var(--text-color)')
.attr('font-size', '14px').attr('font-weight', '600')
.text('GPU time (log scale)');
gAxes.append('text')
.attr('transform', `rotate(-90)`)
.attr('x', -(margin.top + ih / 2)).attr('y', 14)
.attr('text-anchor', 'middle').attr('fill', 'var(--text-color)')
.attr('font-size', '14px').attr('font-weight', '600')
.text(metricLabel);
// Pareto frontier
const frontierPts = pareto(experiments, currentMetric);
const lineGen = d3.line()
.x(d => xScale(d.gpuSeconds))
.y(d => yScale(d.results[currentMetric]));
// Extend frontier line to right edge at the max score level
const extendedFrontier = [...frontierPts];
if (frontierPts.length > 0) {
const last = frontierPts[frontierPts.length - 1];
extendedFrontier.push({ gpuSeconds: xScale.domain()[1], results: { [currentMetric]: last.results[currentMetric] } });
}
gPareto.selectAll('path').data([extendedFrontier]).join('path')
.attr('d', lineGen)
.attr('fill', 'none')
.attr('stroke', 'var(--primary-color)')
.attr('stroke-width', 2)
.attr('stroke-dasharray', '6,4')
.attr('opacity', 0.6);
// Dots
const rBase = Math.max(5, Math.min(9, width * 0.008));
gDots.selectAll('circle').data(experiments, d => d.run).join('circle')
.attr('cx', d => xScale(d.gpuSeconds))
.attr('cy', d => yScale(d.results[currentMetric]))
.attr('r', rBase)
.attr('fill', d => familyColors[d.family] || '#999')
.attr('fill-opacity', 0.8)
.attr('stroke', d => familyColors[d.family] || '#999')
.attr('stroke-width', 1.5)
.attr('stroke-opacity', 0.3)
.attr('cursor', 'pointer')
.on('mouseenter', function(ev, d) {
d3.select(this).attr('r', rBase * 1.6).attr('fill-opacity', 1).attr('stroke-opacity', 0.8);
gDots.selectAll('circle').filter(c => c !== d)
.attr('fill-opacity', 0.2).attr('stroke-opacity', 0.1);
gBaselines.selectAll('line').attr('stroke-opacity', 0.15);
const score = d.results[currentMetric];
tipInner.innerHTML =
`<div style="font-weight:700;font-size:14px;margin-bottom:4px;">${d.prompt} (${d.cat})</div>` +
`<div style="font-size:12px;color:var(--muted-color);margin-bottom:6px;">` +
`<span style="display:inline-block;width:10px;height:10px;border-radius:50%;background:${familyColors[d.family]};margin-right:4px;vertical-align:middle;"></span>` +
`${d.model} · ${d.source}</div>` +
`<div style="display:grid;grid-template-columns:auto 1fr;gap:2px 10px;font-size:13px;">` +
`<span style="color:var(--muted-color);">GPU time</span><span>${fmtGpuTime(d.gpuSeconds)}</span>` +
`<span style="color:var(--muted-color);">TPS/GPU</span><span>${d.tpsPerGpu.toLocaleString()}</span>` +
`<span style="color:var(--muted-color);">Output tokens</span><span>${(d.outputTokens / 1e9).toFixed(1)}B</span>` +
`<span style="color:var(--muted-color);">Documents</span><span>${(d.numDocs / 1e6).toFixed(1)}M</span>` +
`<span style="color:var(--muted-color);">${metricLabel}</span><span style="font-weight:700;">${score != null ? score.toFixed(4) : 'N/A'}</span>` +
`</div>`;
tip.style.opacity = '1';
})
.on('mousemove', (ev) => {
const [mx, my] = d3.pointer(ev, container);
const bw = tip.offsetWidth || 280;
const bh = tip.offsetHeight || 160;
const ox = (mx + bw + 20 > width) ? -(bw + 12) : 14;
const oy = (my + bh + 20 > (height + 60)) ? -(bh + 12) : 14;
tip.style.transform = `translate(${Math.round(mx + ox)}px,${Math.round(my + oy)}px)`;
})
.on('mouseleave', function() {
gDots.selectAll('circle').attr('r', rBase).attr('fill-opacity', 0.8).attr('stroke-opacity', 0.3);
gBaselines.selectAll('line').attr('stroke-width', 2.5).attr('stroke-opacity', 0.7);
tip.style.opacity = '0';
tip.style.transform = 'translate(-9999px,-9999px)';
});
// Baseline ticks (horizontal marks on the y-axis since they have no GPU rephrasing cost)
const bTickHalf = 10;
const bx = margin.left;
const bColor = d => d.synthetic ? SYNTH_BASELINE_COLOR : BASELINE_COLOR;
gBaselines.selectAll('line').data(baselines, d => d.run).join('line')
.attr('x1', bx - bTickHalf)
.attr('x2', bx + bTickHalf)
.attr('y1', d => yScale(d.results[currentMetric]))
.attr('y2', d => yScale(d.results[currentMetric]))
.attr('stroke', bColor)
.attr('stroke-width', 2.5)
.attr('stroke-opacity', 0.7)
.attr('cursor', 'pointer')
.on('mouseenter', function(ev, d) {
d3.select(this).attr('stroke-width', 4).attr('stroke-opacity', 1);
gDots.selectAll('circle').attr('fill-opacity', 0.15).attr('stroke-opacity', 0.08);
const score = d.results[currentMetric];
const tag = d.synthetic ? 'synthetic baseline' : 'baseline';
tipInner.innerHTML =
`<div style="font-weight:700;font-size:14px;margin-bottom:4px;">${d.label} <span style="font-weight:400;font-size:12px;color:var(--muted-color);">(${tag})</span></div>` +
`<div style="display:grid;grid-template-columns:auto 1fr;gap:2px 10px;font-size:13px;">` +
`<span style="color:var(--muted-color);">GPU time</span><span>0 (no rephrasing)</span>` +
`<span style="color:var(--muted-color);">${metricLabel}</span><span style="font-weight:700;">${score != null ? score.toFixed(4) : 'N/A'}</span>` +
`</div>`;
tip.style.opacity = '1';
})
.on('mousemove', (ev) => {
const [mx, my] = d3.pointer(ev, container);
const bw = tip.offsetWidth || 280;
const bh = tip.offsetHeight || 100;
const ox = (mx + bw + 20 > width) ? -(bw + 12) : 14;
const oy = (my + bh + 20 > (height + 60)) ? -(bh + 12) : 14;
tip.style.transform = `translate(${Math.round(mx + ox)}px,${Math.round(my + oy)}px)`;
})
.on('mouseleave', function() {
gBaselines.selectAll('line').attr('stroke-width', 2.5).attr('stroke-opacity', 0.7);
gDots.selectAll('circle').attr('r', rBase).attr('fill-opacity', 0.8).attr('stroke-opacity', 0.3);
tip.style.opacity = '0';
tip.style.transform = 'translate(-9999px,-9999px)';
});
}
// Controls
const controls = document.createElement('div'); controls.className = 'controls';
const cg = document.createElement('div'); cg.className = 'control-group';
const lbl = document.createElement('label'); lbl.textContent = 'Metric'; lbl.setAttribute('for', 'ce-metric-select');
const sel = document.createElement('select'); sel.id = 'ce-metric-select';
const groups = {};
METRICS.forEach(m => { (groups[m.group] = groups[m.group] || []).push(m); });
for (const [gName, gMetrics] of Object.entries(groups)) {
const og = document.createElement('optgroup'); og.label = gName;
gMetrics.forEach(m => { const o = document.createElement('option'); o.value = m.key; o.textContent = m.label; og.appendChild(o); });
sel.appendChild(og);
}
sel.value = currentMetric;
sel.addEventListener('change', () => { currentMetric = sel.value; render(); });
cg.appendChild(lbl); cg.appendChild(sel); controls.appendChild(cg); container.appendChild(controls);
// Legend
const legend = document.createElement('div'); legend.className = 'legend';
const ltitle = document.createElement('div'); ltitle.className = 'legend-title'; ltitle.textContent = 'Legend';
const items = document.createElement('div'); items.className = 'items';
familyOrder.forEach(fam => {
const el = document.createElement('span'); el.className = 'item';
const sw = document.createElement('span'); sw.className = 'swatch'; sw.style.background = familyColors[fam];
const txt = document.createElement('span'); txt.textContent = fam;
el.appendChild(sw); el.appendChild(txt); items.appendChild(el);
el.addEventListener('mouseenter', () => {
gDots.selectAll('circle').attr('fill-opacity', d => d.family === fam ? 0.9 : 0.1)
.attr('stroke-opacity', d => d.family === fam ? 0.6 : 0.05);
gBaselines.selectAll('line').attr('stroke-opacity', 0.15);
});
el.addEventListener('mouseleave', () => {
gDots.selectAll('circle').attr('fill-opacity', 0.8).attr('stroke-opacity', 0.3);
gBaselines.selectAll('line').attr('stroke-width', 2.5).attr('stroke-opacity', 0.7);
});
});
legend.appendChild(ltitle); legend.appendChild(items); container.appendChild(legend);
// Baseline legend items (one per group)
[[false, BASELINE_COLOR, 'Baselines'],
[true, SYNTH_BASELINE_COLOR, 'Synthetic baselines']].forEach(([isSynth, c, text]) => {
const el = document.createElement('span'); el.className = 'item';
el.innerHTML = `<svg width="14" height="14" style="vertical-align:middle;"><line x1="1" y1="7" x2="13" y2="7" stroke="${c}" stroke-width="2.5" stroke-opacity="0.7"/></svg><span>${text}</span>`;
items.appendChild(el);
el.addEventListener('mouseenter', () => {
gBaselines.selectAll('line')
.attr('stroke-opacity', d => d.synthetic === isSynth ? 1 : 0.15)
.attr('stroke-width', d => d.synthetic === isSynth ? 4 : 2.5);
gDots.selectAll('circle').attr('fill-opacity', 0.15).attr('stroke-opacity', 0.08);
});
el.addEventListener('mouseleave', () => {
gBaselines.selectAll('line').attr('stroke-width', 2.5).attr('stroke-opacity', 0.7);
gDots.selectAll('circle').attr('fill-opacity', 0.8).attr('stroke-opacity', 0.3);
});
});
// Pareto legend item
const paretoItem = document.createElement('span'); paretoItem.className = 'item';
paretoItem.innerHTML = `<svg width="20" height="14" style="vertical-align:middle;"><line x1="0" y1="7" x2="20" y2="7" stroke="var(--primary-color)" stroke-width="2" stroke-dasharray="4,3" opacity="0.6"/></svg><span>Pareto frontier</span>`;
items.appendChild(paretoItem);
render();
if (window.ResizeObserver) new ResizeObserver(() => render()).observe(container);
else window.addEventListener('resize', render);
}
};
if (document.readyState === 'loading') document.addEventListener('DOMContentLoaded', () => ensureD3(bootstrap), { once: true });
else ensureD3(bootstrap);
})();
</script>
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