tenseleyflow/sway / dbf73ab

Browse files

tests/snapshots: report.html — HTML renderer wrapper (plotly bundle stripped)

Authored by mfwolffe <wolffemf@dukes.jmu.edu>
SHA
dbf73abe92b83fad43b179ad75f78d8f7890a008
Parents
c5a3a5f
Tree
16f4bcf

1 changed file

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+<!doctype html>
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+<html lang="en">
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+<head>
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+  <meta charset="utf-8">
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+  <meta name="generator" content="sway report html">
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+  <title>sway report — adapters/test/v1</title>
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+  <style>
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+    body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
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+           margin: 0; padding: 2rem; color: #222; background: #fafafa; max-width: 1100px;
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+           margin-left: auto; margin-right: auto; }
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+    h1 { margin-bottom: 0.25rem; }
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+    p.meta { color: #666; margin-top: 0; }
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+    p.summary { font-size: 1.1rem; margin-top: 0.5rem; }
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+    section.panel { background: #fff; border: 1px solid #e0e0e0; border-radius: 6px;
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+                     padding: 1rem; margin-top: 1rem; }
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+    section.panel h2 { margin-top: 0; font-size: 1.1rem; color: #333; }
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+    section.probe-table { background: #fff; border: 1px solid #e0e0e0; border-radius: 6px;
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+                           padding: 1rem; margin-top: 1rem; }
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+    section.probe-table table { border-collapse: collapse; width: 100%; font-size: 0.9rem; }
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+    section.probe-table th, section.probe-table td { padding: 0.4rem 0.6rem;
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+                                                       border-bottom: 1px solid #eee;
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+                                                       text-align: left; vertical-align: top; }
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+    section.probe-table td.note { color: #555; }
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+    .v-pass { color: #28a745; font-weight: bold; }
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+    .v-fail { color: #dc3545; font-weight: bold; }
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+            background: #f0f0f0; padding: 0.05em 0.3em; border-radius: 3px; }
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+  </style>
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+  <script type="text/javascript">/* plotly bundle — stripped for snapshot */</script>
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+</head>
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+<body>
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+  <h1>sway report — adapters/test/v1</h1><p class='meta'>base: <code>HuggingFaceTB/SmolLM2-135M</code> · adapter: <code>adapters/test/v1</code> · sway 0.1.0 · wall: 5.00s</p><p class='summary'><b>overall</b>: 0.77 (healthy) · <span class='v-pass'>3 pass</span> · <span class='v-skip'>1 skip</span></p>
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+  <section class='panel' id='panel-sway-gauge'><h2>Composite score</h2><div>                            <div id="sway-gauge" class="plotly-graph-div" style="height:320px; width:100%;"></div>            <script>                window.PLOTLYENV=window.PLOTLYENV || {};                                if (document.getElementById("sway-gauge")) {                    Plotly.newPlot(                        "sway-gauge",                        [{"gauge":{"axis":{"range":[0.0,1.0]},"bar":{"color":"#28a745"},"steps":[{"color":"#f8d7da","range":[0.0,0.3]},{"color":"#fff3cd","range":[0.3,0.6]},{"color":"#d1e7dd","range":[0.6,0.85]},{"color":"#e2e3ff","range":[0.85,1.0]}]},"mode":"gauge+number","number":{"font":{"size":48},"valueformat":".2f"},"title":{"text":"\u003cb\u003ehealthy\u003c\u002fb\u003e"},"value":0.77,"type":"indicator"}],                        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37
+<section class='panel' id='panel-sway-category'><h2>Category breakdown</h2><div>                            <div id="sway-category" class="plotly-graph-div" style="height:260px; width:100%;"></div>            <script>                window.PLOTLYENV=window.PLOTLYENV || {};                                if (document.getElementById("sway-category")) {                    Plotly.newPlot(                        "sway-category",                        [{"hovertemplate":"%{y}: %{x:.3f}\u003cextra\u003e\u003c\u002fextra\u003e","marker":{"color":["#6f42c1","#0d6efd","#198754","#fd7e14"]},"orientation":"h","x":[0.75,0.87,0.7,0.0],"y":["ablation","adherence","attribution","calibration"],"type":"bar"}],                        {"height":260,"margin":{"b":40,"l":100,"r":20,"t":30},"xaxis":{"range":[0.0,1.0],"title":{"text":"component 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38
+<section class='panel' id='panel-sway-sis'><h2>Per-section internalization</h2><div>                            <div id="sway-sis" class="plotly-graph-div" style="height:320px; width:100%;"></div>            <script>                window.PLOTLYENV=window.PLOTLYENV || {};                                if (document.getElementById("sway-sis")) {                    Plotly.newPlot(                        "sway-sis",                        [{"hovertemplate":"\u003cb\u003e%{x}\u003c\u002fb\u003e\u003cbr\u003eeffective_sis=%{y:.3f}\u003cextra\u003e\u003c\u002fextra\u003e","marker":{"color":["#28a745","#28a745","#dc3545","#28a745"]},"x":["sec01","sec02","sec03","sec04"],"y":[0.18,0.21,0.03,0.1],"type":"bar"}],                        {"height":320,"margin":{"b":80,"l":60,"r":20,"t":30},"xaxis":{"title":{"text":"section"}},"yaxis":{"title":{"text":"effective_sis (own - 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39
+<section class='panel' id='panel-sway-ablation'><h2>Adapter-ablation response</h2><div>                            <div id="sway-ablation" class="plotly-graph-div" style="height:320px; width:100%;"></div>            <script>                window.PLOTLYENV=window.PLOTLYENV || {};                                if (document.getElementById("sway-ablation")) {                    Plotly.newPlot(                        "sway-ablation",                        [{"hovertemplate":"\u03bb=%{x}\u003cbr\u003ediv=%{y:.4f}\u003cextra\u003e\u003c\u002fextra\u003e","line":{"color":"#6f42c1","width":2},"marker":{"color":"#6f42c1","size":10},"mode":"lines+markers","name":"divergence","x":[0.0,0.25,0.5,0.75,1.0,1.25],"y":[0.0,0.05,0.11,0.16,0.19,0.2],"type":"scatter"}],                        {"height":320,"margin":{"b":50,"l":60,"r":20,"t":30},"xaxis":{"title":{"text":"lambda"}},"yaxis":{"title":{"text":"mean 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40
+<section class='panel' id='panel-sway-scatter'><h2>Per-probe score vs. z-score</h2><div>                            <div id="sway-scatter" class="plotly-graph-div" style="height:360px; width:100%;"></div>            <script>                window.PLOTLYENV=window.PLOTLYENV || {};                                if (document.getElementById("sway-scatter")) {                    Plotly.newPlot(                        "sway-scatter",                        [{"hovertemplate":"%{text}\u003cextra\u003e\u003c\u002fextra\u003e","marker":{"color":["#28a745","#28a745","#28a745"],"line":{"color":"#333","width":1},"size":14},"mode":"markers","text":["\u003cb\u003edk\u003c\u002fb\u003e\u003cbr\u003ekind: delta_kl\u003cbr\u003everdict: pass\u003cbr\u003escore: 0.870\u003cbr\u003ez: +5.12\u03c3","\u003cb\u003esis\u003c\u002fb\u003e\u003cbr\u003ekind: section_internalization\u003cbr\u003everdict: pass\u003cbr\u003escore: 0.700\u003cbr\u003ez: 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+  <section class='probe-table'><h2>Probes</h2><table><thead><tr><th>name</th><th>kind</th><th>verdict</th><th>score</th><th>raw</th><th>z</th><th>note</th></tr></thead><tbody><tr><td>dk</td><td><code>delta_kl</code></td><td class='v-pass'>pass</td><td>0.87</td><td>0.456</td><td>+5.12σ</td><td class='note'>mean js=0.4560, z=+5.12σ vs null</td></tr><tr><td>sis</td><td><code>section_internalization</code></td><td class='v-pass'>pass</td><td>0.70</td><td>0.140</td><td>+3.80σ</td><td class='note'>3/4 sections cleared</td></tr><tr><td>abl</td><td><code>adapter_ablation</code></td><td class='v-pass'>pass</td><td>0.75</td><td>0.920</td><td>+3.50σ</td><td class='note'>R²=0.92, sat_λ=0.75 (in band), overshoot=1.05</td></tr><tr><td>lk</td><td><code>leakage</code></td><td class='v-skip'>skip</td><td>—</td><td>—</td><td>—</td><td class='note'>no PROSE sections to test for leakage</td></tr></tbody></table></section>
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