thinkwee
commited on
Commit
·
8b51fca
1
Parent(s):
37f473d
fix display
Browse files
charts.js
CHANGED
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@@ -161,11 +161,11 @@ function updateScalingCharts(dimension) {
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const models = Object.keys(data);
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const yRange = SCALING_Y_RANGES[scenario] || [0, 100];
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//
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const traces = [];
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const allXValues = [];
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models.forEach(model => {
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const modelData = data[model];
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let xValues;
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switch (dimension) {
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@@ -175,74 +175,74 @@ function updateScalingCharts(dimension) {
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}
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allXValues.push(...xValues);
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const hoverFormat = dimension === 'token' ? '%{x:,.0f}' : (dimension === 'cost' ? '$%{x:.4f}' : '%{x}');
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traces.push({
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x: xValues,
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y: modelData.accuracy,
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mode: 'lines+markers',
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name: model,
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line: { color: DDR_DATA.modelColors[model] || '#888', width: 2 },
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marker: { size: 6, color: DDR_DATA.modelColors[model] || '#888' },
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hovertemplate: `<b>${model}</b><br>${hoverLabels[dimension]}: ${hoverFormat}<br>Accuracy: %{y:.2f}%<extra></extra>`
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});
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});
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const maxX = Math.max(...allXValues);
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const minX = Math.min(...allXValues.filter(v => v > 0));
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// X-axis
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let
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if (dimension === 'turn') {
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dtick: 10,
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range: [0, maxX + 5]
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};
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} else if (dimension === 'token') {
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dtick: 10000,
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tickformat: ',.0f',
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range: [0, maxX * 1.05]
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};
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} else { // cost
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exponentformat: 'none',
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range: [Math.log10(minX * 0.5), Math.log10(maxX * 1.5)]
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};
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}
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// Use Plotly.
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Plotly.
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});
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}
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// Dimension toggle event listeners
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document.querySelectorAll('.dim-btn:not(.probing-dim)').forEach(btn => {
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btn.addEventListener('click', () => {
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const models = Object.keys(data);
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const yRange = SCALING_Y_RANGES[scenario] || [0, 100];
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// Collect X values and build update data
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const allXValues = [];
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const updateData = [];
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models.forEach((model, idx) => {
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const modelData = data[model];
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let xValues;
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switch (dimension) {
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}
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allXValues.push(...xValues);
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updateData.push({ x: [xValues], y: [modelData.accuracy] });
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});
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const maxX = Math.max(...allXValues);
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const minX = Math.min(...allXValues.filter(v => v > 0));
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// Build X-axis config based on dimension
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let xaxisUpdate = {
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'xaxis.title.text': xLabels[dimension]
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};
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if (dimension === 'turn') {
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xaxisUpdate['xaxis.type'] = 'linear';
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xaxisUpdate['xaxis.dtick'] = 10;
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xaxisUpdate['xaxis.range'] = [0, maxX + 5];
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xaxisUpdate['xaxis.tickformat'] = null;
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} else if (dimension === 'token') {
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xaxisUpdate['xaxis.type'] = 'linear';
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xaxisUpdate['xaxis.dtick'] = 10000;
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xaxisUpdate['xaxis.range'] = [0, maxX * 1.05];
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xaxisUpdate['xaxis.tickformat'] = ',.0f';
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} else { // cost
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xaxisUpdate['xaxis.type'] = 'log';
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xaxisUpdate['xaxis.dtick'] = null;
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xaxisUpdate['xaxis.range'] = [Math.log10(minX * 0.5), Math.log10(maxX * 1.5)];
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xaxisUpdate['xaxis.tickformat'] = '$.3f';
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xaxisUpdate['xaxis.exponentformat'] = 'none';
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}
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// Update hover templates
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const hoverLabels = { 'turn': 'Turns', 'token': 'Tokens', 'cost': 'Cost' };
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const hoverFormat = dimension === 'token' ? '%{x:,.0f}' : (dimension === 'cost' ? '$%{x:.4f}' : '%{x}');
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// First: Update layout (axis) - this happens instantly
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Plotly.relayout(`scaling-${scenario}`, xaxisUpdate);
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// Then: Animate data points to new positions
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const xUpdates = models.map(model => {
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const modelData = data[model];
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switch (dimension) {
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case 'turn': return modelData.turns;
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case 'token': return modelData.tokens;
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case 'cost': return modelData.costs;
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}
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});
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// Use Plotly.animate for smooth data transition
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Plotly.animate(`scaling-${scenario}`, {
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data: xUpdates.map((x, i) => ({ x })),
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traces: models.map((_, i) => i)
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}, {
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transition: { duration: 400, easing: 'cubic-in-out' },
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frame: { duration: 400, redraw: false }
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});
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// Update hover templates after animation
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models.forEach((model, i) => {
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Plotly.restyle(`scaling-${scenario}`, {
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hovertemplate: `<b>${model}</b><br>${hoverLabels[dimension]}: ${hoverFormat}<br>Accuracy: %{y:.2f}%<extra></extra>`
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}, [i]);
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});
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});
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}
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// Dimension toggle event listeners
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document.querySelectorAll('.dim-btn:not(.probing-dim)').forEach(btn => {
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btn.addEventListener('click', () => {
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