app/src/content/embeds2/throughput-debug-1node.html

<div class="throughput-debug-1node"></div>
<style>
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  .throughput-debug-1node .axes text { fill: var(--tick-color); }
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  .throughput-debug-1node .chart-card { background: var(--surface-bg); border: 1px solid var(--border-color); border-radius: 10px; padding: 8px; }
  .throughput-debug-1node .chart-header { display:flex; align-items:flex-start; justify-content:flex-start; gap:12px; margin: 8px 0 0 0; flex-wrap: wrap; }
  .throughput-debug-1node .legend-bottom { display:flex; align-items:center; justify-content:flex-start; font-size:12px; color: var(--text-color); }
  .throughput-debug-1node .legend-bottom .items { display:flex; flex-wrap:wrap; gap:8px 14px; }
  .throughput-debug-1node .legend-bottom .item { display:inline-flex; align-items:center; gap:6px; white-space:nowrap; }
  .throughput-debug-1node .legend-bottom .swatch { width:14px; height:14px; border-radius:3px; border:1px solid var(--border-color); display:inline-block; }
  .throughput-debug-1node .legend-bottom .legend-title { font-size: 12px; font-weight: 700; color: var(--text-color); }
  .throughput-debug-1node .legend-bottom { flex-direction: column; align-items: flex-start; gap: 6px; }
  .throughput-debug-1node .lines path.active { stroke-width: 3; }
  .throughput-debug-1node .d3-tooltip { z-index: var(--z-elevated); backdrop-filter: saturate(1.12) blur(8px); }
  .throughput-debug-1node .d3-tooltip__inner { display:flex; flex-direction:column; gap:6px; min-width: 220px; }
  .throughput-debug-1node .d3-tooltip__inner > div:first-child { font-weight: 800; letter-spacing: 0.1px; margin-bottom: 0; }
  .throughput-debug-1node .d3-tooltip__inner > div:nth-child(2) { font-size: 11px; color: var(--muted-color); display: block; margin-top: -4px; margin-bottom: 2px; letter-spacing: 0.1px; }
  .throughput-debug-1node .d3-tooltip__color-dot { display:inline-block; width: 12px; height: 12px; border-radius: 3px; border: 1px solid var(--border-color); }
  /* Ghosting on hover */
  .throughput-debug-1node.hovering .legend-bottom .item.ghost { opacity: .35; }
  .throughput-debug-1node.hovering .lines path.ghost { opacity: .25; }
  .throughput-debug-1node.hovering .points circle.ghost { opacity: .25; }
</style>
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      // Format helper for throughput values
      function formatThroughput(v){
        if (v >= 1000) {
          return d3.format('.1f')(v / 1000) + 'k';
        }
        return d3.format('.1f')(v);
      }

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        height = Math.max(280, Math.round(width / 3));
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      function render(){
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        // Sort data by step
        const sortedData = data.slice().sort((a, b) => a.step - b.step);
        
        // Prepare series data - filter out empty values
        const series = [
          {
            name: 'Throughput for 32k steps',
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              .map(d => ({ step: d.step, value: d.run1 }))
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        gAxes.append('g').call(d3.axisLeft(yScale).ticks(6).tickFormat(formatThroughput)).call(g=>{ g.selectAll('path, line').attr('stroke','var(--axis-color)'); g.selectAll('text').attr('fill','var(--tick-color)').style('font-size','12px'); });
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              .attr('cy', d=>yScale(d.value));
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          // Find data point for this step
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          if (!dataPoint) return;
          
          // tooltip content
          let html = `<div style="font-weight:800;letter-spacing:.1px;">Throughput Debug (1 Node)</div><div style="font-size:11px;color:var(--muted-color);margin-top:-4px;margin-bottom:2px;">Step ${formatK(nearest)}</div>`;
          
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          tip.style.transform = `translate(${Math.round(mx + margin.left + 12)}px, ${Math.round(my + margin.top + 12)}px)`;
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      }

      // load CSV and init
      (async () => {
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            './assets/data/throughput_debug_1node.csv',
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            '../../assets/data/throughput_debug_1node.csv'
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                csvText = await response.text();
                break;
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            } catch(_) {}
          }
          
          if (!csvText) {
            throw new Error('CSV file not found: throughput_debug_1node.csv');
          }
          
          const rows = d3.csvParse(csvText);
          
          // Parse the data - use the two main columns (without Min/Max)
          const col1 = "06/04/2025_19:54:26_3B-nanotron-old-nn1-fwedu-32k - tokens_per_sec_per_gpu";
          const col2 = "06/04/2025_19:50:35_3B-nanotron-old-nn1-fwedu- - tokens_per_sec_per_gpu";
          
          data = rows.map(d => ({
            step: +d.Step,
            run1: d[col1] === '' ? null : +d[col1],
            run2: d[col2] === '' ? null : +d[col2]
          })).filter(d => !isNaN(d.step));
          
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          pre.textContent = 'CSV load error: ' + (e && e.message ? e.message : e);
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