Bryan O'Sullivan avatar Bryan O'Sullivan committed 2688378

Add the tiny.html example report.

Comments (0)

Files changed (2)

 extra-source-files:
   README.markdown
   examples/*.hs
+  examples/*.html
 
 data-files:
-  templates/js/excanvas-r3.min.js
-  templates/js/jquery-1.6.4.min.js
-  templates/js/jquery.criterion.js
-  templates/js/jquery.flot-0.7.min.js
-  templates/criterion.css
-  templates/report.tpl
+  templates/js/*.js
+  templates/*.css
+  templates/*.tpl
 
 description:
   This library provides a powerful but simple way to measure software

examples/tiny.html

+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
+<html>
+ <head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>criterion report</title>
+    <!--[if lte IE 8]>
+      <script language="javascript" type="text/javascript">
+        if(!document.createElement("canvas").getContext){(function(){var z=Math;var K=z.round;var J=z.sin;var U=z.cos;var b=z.abs;var k=z.sqrt;var D=10;var F=D/2;function T(){return this.context_||(this.context_=new W(this))}var O=Array.prototype.slice;function G(i,j,m){var Z=O.call(arguments,2);return function(){return i.apply(j,Z.concat(O.call(arguments)))}}function AD(Z){return String(Z).replace(/&/g,"&amp;").replace(/"/g,"&quot;")}function r(i){if(!i.namespaces.g_vml_){i.namespaces.add("g_vml_","urn:schemas-microsoft-com:vml","#default#VML")}if(!i.namespaces.g_o_){i.namespaces.add("g_o_","urn:schemas-microsoft-com:office:office","#default#VML")}if(!i.styleSheets.ex_canvas_){var Z=i.createStyleSheet();Z.owningElement.id="ex_canvas_";Z.cssText="canvas{display:inline-block;overflow:hidden;text-align:left;width:300px;height:150px}"}}r(document);var E={init:function(Z){if(/MSIE/.test(navigator.userAgent)&&!window.opera){var 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+    for (var i = 0; i < x; i++)
+      c[i] = [a[i],b[i]];
+    return c;
+  };
+
+  $.mean = function(ary) {
+    var m = 0, i = 0;
+
+    while (i < ary.length) {
+      var j = i++;
+      m += (ary[j] - m) / i;
+    }
+
+    return m;
+  };
+
+  $.timeUnits = function(secs) {
+    if (secs < 0)           return timeUnits(-secs);
+    else if (secs >= 1e9)   return [1e-9, "Gs"];
+    else if (secs >= 1e6)   return [1e-6, "Ms"];
+    else if (secs >= 1)     return [1,    "s"];
+    else if (secs >= 1e-3)  return [1e3,  "ms"];
+    else if (secs >= 1e-6)  return [1e6,  "\u03bcs"];
+    else if (secs >= 1e-9)  return [1e9,  "ns"];
+    else if (secs >= 1e-12) return [1e12, "ps"];
+  };
+
+  $.scaleTimes = function(ary) {
+    var s = $.timeUnits($.mean(ary));
+    return [$.scaleBy(s[0], ary), s[1]];
+  };
+
+  $.scaleBy = function(x, ary) {
+    var nary = new Array(ary.length);
+    for (var i = 0; i < ary.length; i++)
+      nary[i] = ary[i] * x;
+    return nary;
+  };
+
+  $.renderTime = function(text) {
+    var x = parseFloat(text);
+    var t = $.timeUnits(x);
+    x *= t[0];
+    if (x >= 1000 || x <= -1000) return x.toFixed() + " " + t[1];
+    var prec = 5;
+    if (x < 0) prec++;
+
+    return x.toString().substring(0,prec) + " " + t[1];
+  };
+
+  $.unitFormatter = function(units) {
+    var ticked = 0;
+    return function(val,axis) {
+        var s = val.toFixed(axis.tickDecimals);
+	if (ticked > 1)
+	  return s;
+        else {
+          ticked++;
+	  return s + ' ' + units;
+	}
+    };
+  };
+
+  $.addTooltip = function(name, renderText) {
+    function showTooltip(x, y, contents) {
+	$('<div id="tooltip">' + contents + '</div>').css( {
+	    position: 'absolute',
+	    display: 'none',
+	    top: y + 5,
+	    left: x + 5,
+	    border: '1px solid #fdd',
+	    padding: '2px',
+	    'background-color': '#fee',
+	    opacity: 0.80
+	}).appendTo("body").fadeIn(200);
+    };
+    var pp = null;
+    $(name).bind("plothover", function (event, pos, item) {
+	$("#x").text(pos.x.toFixed(2));
+	$("#y").text(pos.y.toFixed(2));
+
+	if (item) {
+	    if (pp != item.dataIndex) {
+		pp = item.dataIndex;
+
+		$("#tooltip").remove();
+		var x = item.datapoint[0].toFixed(2),
+		    y = item.datapoint[1].toFixed(2);
+
+		showTooltip(item.pageX, item.pageY, renderText(x,y));
+	    }
+	}
+	else {
+	    $("#tooltip").remove();
+	    pp = null;            
+	}
+    });
+  };
+})(jQuery);
+
+    </script>
+    <style type="text/css">
+html, body {
+  height: 100%;
+  margin: 0;
+}
+
+#wrap {
+  min-height: 100%;
+}
+
+#main {
+  overflow: auto;
+  padding-bottom: 180px;  /* must be same height as the footer */
+}
+
+#footer {
+  position: relative;
+  margin-top: -180px; /* negative value of footer height */
+  height: 180px;
+  clear: both;
+  background: #888;
+  margin: 40px 0 0;
+  color: white;
+  font-size: larger;
+  font-weight: 300;
+} 
+
+body:before {
+  /* Opera fix */
+  content: "";
+  height: 100%;
+  float: left;
+  width: 0;
+  margin-top: -32767px;
+}
+
+body {
+  font: 14px Helvetica Neue;
+  text-rendering: optimizeLegibility;
+  margin-top: 1em;
+}
+
+a:link {
+  color: steelblue;
+  text-decoration: none;
+}
+
+a:visited {
+  color: #4a743b;
+  text-decoration: none;
+}
+
+#footer a {
+  color: white;
+  text-decoration: underline;
+}
+
+.hover {
+  color: steelblue;
+  text-decoration: none;
+}
+
+.body {
+  width: 960px;
+  margin: auto;
+}
+
+.footfirst {
+  position: relative;
+  top: 30px;
+}
+
+th {
+  font-weight: 500;
+  opacity: 0.8;
+}
+
+th.cibound {
+  opacity: 0.4;
+}
+
+.citime {
+  opacity: 0.5;
+}
+
+h1 {
+  font-size: 36px;
+  font-weight: 300;
+  margin-bottom: .3em;
+}
+
+h2 {
+  font-size: 30px;
+  font-weight: 300;
+  margin-bottom: .3em;
+}
+
+.meanlegend {
+  color: #404040;
+  background-color: #ffffff;
+  opacity: 0.6;
+  font-size: smaller;
+}
+
+    </style>
+    <!--[if !IE 7]>
+	    <style type="text/css">
+		    #wrap {display:table;height:100%}
+	    </style>
+    <![endif]-->
+ </head>
+    <body>
+     <div id="wrap">
+      <div id="main" class="body">
+    <h1>criterion performance measurements</h1>
+
+<h2>overview</h2>
+
+<p><a href="#grokularation">want to understand this report?</a></p>
+
+<div id="overview" class="ovchart" style="width:900px;height:100px;"></div>
+
+<h2><a name="b0">fib/fib 10</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde0" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time0" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+   </tr>
+  </tbody>
+ </table>
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="citime">7.950250148027324e-7</span></td>
+    <td><span class="time">8.087233523139602e-7</span></td>
+    <td><span class="citime">8.263881789521396e-7</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="citime">6.469576002518438e-8</span></td>
+    <td><span class="time">7.962093335887086e-8</span></td>
+    <td><span class="citime">9.595188287095253e-8</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.789683189845111</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b1">fib/fib 20</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde1" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time1" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+   </tr>
+  </tbody>
+ </table>
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="citime">9.397387721886237e-5</span></td>
+    <td><span class="time">9.511279240520537e-5</span></td>
+    <td><span class="citime">9.683396722581508e-5</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="citime">5.084981483933464e-6</span></td>
+    <td><span class="time">7.060410460215048e-6</span></td>
+    <td><span class="citime">9.916444086871226e-6</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have severe
+     (<span class="percent">0.6764999252677036</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b2">fib/fib 30</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde2" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time2" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+   </tr>
+  </tbody>
+ </table>
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="citime">1.1405421545418602e-2</span></td>
+    <td><span class="time">1.1464177420052388e-2</span></td>
+    <td><span class="citime">1.166933422318349e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="citime">1.5835878091381052e-4</span></td>
+    <td><span class="time">5.030517750313856e-4</span></td>
+    <td><span class="citime">1.146763021342376e-3</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.414995643896579</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b3">intmap/intmap 25k</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde3" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time3" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+   </tr>
+  </tbody>
+ </table>
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="citime">5.030530741127831e-3</span></td>
+    <td><span class="time">5.067442705544335e-3</span></td>
+    <td><span class="citime">5.11489753952871e-3</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="citime">1.7601420712288937e-4</span></td>
+    <td><span class="time">2.14104721044797e-4</span></td>
+    <td><span class="citime">2.796949297562274e-4</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.39528660323872544</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b4">intmap/intmap 50k</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde4" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time4" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+   </tr>
+  </tbody>
+ </table>
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="citime">1.3004106333168846e-2</span></td>
+    <td><span class="time">1.3085197260292869e-2</span></td>
+    <td><span class="citime">1.317617540589223e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="citime">3.817067615429757e-4</span></td>
+    <td><span class="time">4.4020726935288003e-4</span></td>
+    <td><span class="citime">5.281243811580562e-4</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.2967324863902443</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+<h2><a name="b5">intmap/intmap 75k</a></h2>
+ <table width="100%">
+  <tbody>
+   <tr>
+    <td><div id="kde5" class="kdechart"
+             style="width:450px;height:278px;"></div></td>
+    <td><div id="time5" class="timechart"
+             style="width:450px;height:278px;"></div></td>
+   </tr>
+  </tbody>
+ </table>
+ <table>
+  <thead class="analysis">
+   <th></th>
+   <th class="cibound"
+       title="0.95 confidence level">lower bound</th>
+   <th>estimate</th>
+   <th class="cibound"
+       title="0.95 confidence level">upper bound</th>
+  </thead>
+  <tbody>
+   <tr>
+    <td>Mean execution time</td>
+    <td><span class="citime">1.772755031815419e-2</span></td>
+    <td><span class="time">1.782442693940053e-2</span></td>
+    <td><span class="citime">1.794612770310293e-2</span></td>
+   </tr>
+   <tr>
+    <td>Standard deviation</td>
+    <td><span class="citime">4.572927417104507e-4</span></td>
+    <td><span class="time">5.554628346393567e-4</span></td>
+    <td><span class="citime">7.805157733235236e-4</span></td>
+   </tr>
+  </tbody>
+ </table>
+
+ <span class="outliers">
+   <p>Outlying measurements have moderate
+     (<span class="percent">0.2673858721467461</span>%)
+     effect on estimated standard deviation.</p>
+ </span>
+
+ <h2><a name="grokularation">understanding this report</a></h2>
+
+ <p>In this report, each function benchmarked by criterion is assigned
+   a section of its own.  In each section, we display two charts, each
+   with an <i>x</i> axis that represents measured execution time.
+   These charts are active; if you hover your mouse over data points
+   and annotations, you will see more details.</p>
+
+ <ul>
+   <li>The chart on the left is a
+     <a href="http://en.wikipedia.org/wiki/Kernel_density_estimation">kernel
+       density estimate</a> (also known as a KDE) of time
+     measurements.  This graphs the probability of any given time
+     measurement occurring.  A spike indicates that a measurement of a
+     particular time occurred; its height indicates how often that
+     measurement was repeated.</li>
+
+   <li>The chart on the right is the raw data from which the kernel
+     density estimate is built.  Measurements are displayed on
+     the <i>y</i> axis in the order in which they occurred.</li>
+ </ul>
+   
+ <p>Under the charts is a small table displaying the mean and standard
+   deviation of the measurements.  We use a statistical technique
+   called
+   the <a href="http://en.wikipedia.org/wiki/Bootstrapping_(statistics)">bootstrap</a>
+   to provide confidence intervals on our estimates of these values.
+   The bootstrap-derived upper and lower bounds on the mean and
+   standard deviation let you see how accurate we believe those
+   estimates to be.  (Hover the mouse over the table headers to see
+   the confidence levels.)</p>
+   
+ <p>A noisy benchmarking environment can cause some or many
+   measurements to fall far from the mean.  These outlying
+   measurements can have a significant inflationary effect on the
+   estimate of the standard deviation.  We calculate and display an
+   estimate of the extent to which the standard deviation has been
+   inflated by outliers.</p>
+
+<script type="text/javascript">
+$(function () {
+  function mangulate(number, name, mean, times, kdetimes, kdepdf) {
+    var meanSecs = mean;
+    var units = $.timeUnits(mean);
+    var scale = units[0];
+    units = units[1];
+    mean *= scale;
+    kdetimes = $.scaleBy(scale, kdetimes);
+    var ts = $.scaleBy(scale, times);
+    var kq = $("#kde" + number);
+    var k = $.plot(kq,
+           [{ label: name + " time densities",
+              data: $.zip(kdetimes, kdepdf),
+              }],
+           { xaxis: { tickFormatter: $.unitFormatter(units) },
+             yaxis: { ticks: false },
+             grid: { borderColor: "#777",
+                     hoverable: true, markings: [ { color: '#6fd3fb',
+                     lineWidth: 1.5, xaxis: { from: mean, to: mean } } ] },
+           });
+    var o = k.pointOffset({ x: mean, y: 0});
+    kq.append('<div class="meanlegend" title="' + $.renderTime(meanSecs) +
+              '" style="position:absolute;left:' + (o.left + 4) +
+              'px;bottom:139px;">mean</div>');
+    var timepairs = new Array(ts.length);
+    for (var i = 0; i < ts.length; i++)
+      timepairs[i] = [ts[i],i];
+    $.plot($("#time" + number),
+           [{ label: name + " times",
+              data: timepairs }],
+           { points: { show: true },
+             grid: { borderColor: "#777", hoverable: true },
+             xaxis: { min: kdetimes[0], max: kdetimes[kdetimes.length-1],
+                      tickFormatter: $.unitFormatter(units) },
+             yaxis: { ticks: false },
+           });
+    $.addTooltip("#kde" + number, function(x,y) { return x + ' ' + units; });
+    $.addTooltip("#time" + number, function(x,y) { return x + ' ' + units; });
+  };
+    mangulate(0, "fib/fib 10",
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+    mangulate(2, "fib/fib 30",
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+    mangulate(3, "intmap/intmap 25k",
+            5.067442705544335e-3,
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+    mangulate(4, "intmap/intmap 50k",
+            1.3085197260292869e-2,
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+    mangulate(5, "intmap/intmap 75k",
+            1.782442693940053e-2,
+            [1.749295358887563e-2,1.7258826544197896e-2,1.7368022253426412e-2,1.8662873556526998e-2,1.7566863348397115e-2,1.7872039129647115e-2,1.7835799505623678e-2,1.8371049215706686e-2,1.8445912649544576e-2,1.730674867859731e-2,1.7462912847908834e-2,1.7838898947151998e-2,1.7818871786507467e-2,1.78241169952477e-2,1.738590364685903e-2,1.7644826223763326e-2,1.727599268189321e-2,1.8683854391487936e-2,1.7210904409798482e-2,1.7943803121956686e-2,1.73358357452477e-2,1.80529988311852e-2,1.8007937719735006e-2,1.8245879461678365e-2,1.7191830923470357e-2,1.8243972113045553e-2,1.7829123785408834e-2,1.8160048773201803e-2,1.779502992859731e-2,1.8102828314217428e-2,1.717085008850942e-2,1.8603984167488912e-2,1.746982698670278e-2,1.810187463990102e-2,1.7732802679451803e-2,1.7922107031258443e-2,1.8269959738167623e-2,1.75799763702477e-2,1.7178956320198873e-2,1.9241992285164693e-2,1.832288866272817e-2,1.798886423340688e-2,1.7413798620613912e-2,1.774901514283071e-2,1.767582063904653e-2,1.7769757559212545e-2,1.7350140859993795e-2,1.7886821081551412e-2,1.7167035391243795e-2,1.884907846680532e-2,1.7287913610848287e-2,1.791686182251821e-2,1.7867032339485982e-2,1.819795732727895e-2,1.7615739157112936e-2,1.7959061911019186e-2,1.7609063436898092e-2,1.7425004293831686e-2,1.813978319397817e-2,1.778716211548696e-2,1.7445031454476217e-2,1.8166962911995748e-2,1.7095748236092428e-2,1.835197572937856e-2,1.718610887757192e-2,1.774901514283071e-2,1.7853919317635396e-2,1.8454972555550436e-2,1.7885867407235006e-2,1.8212024023445943e-2,1.7335120489510396e-2,1.797217493286977e-2,1.84039509796227e-2,1.8130008032235006e-2,1.7295066168221334e-2,1.718896990052114e-2,1.7470780661019186e-2,1.8232051184090475e-2,1.7176095297249654e-2,1.7421904852303365e-2,1.7430964758309225e-2,1.73510945343102e-2,1.7648164083870748e-2,2.055210237732778e-2,1.9183818151863912e-2,1.781481867066274e-2,1.7480078985604146e-2,1.763791208496938e-2,1.7991010000618795e-2,1.7378989508065084e-2,1.8564883520516256e-2,1.6936961462410787e-2,1.801294450989614e-2,1.7384949972542623e-2,1.8936816503914693e-2,1.7874900152596334e-2,1.7111960699471334e-2,1.766389971009145e-2,1.7120782186898092e-2,1.785010462036977e-2,],
+            [1.6575447370919087e-2,1.660960618271358e-2,1.6643764994508068e-2,1.667792380630256e-2,1.6712082618097052e-2,1.6746241429891544e-2,1.6780400241686033e-2,1.6814559053480525e-2,1.6848717865275017e-2,1.688287667706951e-2,1.6917035488864e-2,1.695119430065849e-2,1.6985353112452983e-2,1.7019511924247475e-2,1.7053670736041963e-2,1.7087829547836456e-2,1.7121988359630948e-2,1.715614717142544e-2,1.719030598321993e-2,1.722446479501442e-2,1.7258623606808913e-2,1.7292782418603405e-2,1.7326941230397894e-2,1.7361100042192386e-2,1.7395258853986878e-2,1.742941766578137e-2,1.746357647757586e-2,1.749773528937035e-2,1.7531894101164843e-2,1.7566052912959335e-2,1.7600211724753824e-2,1.7634370536548316e-2,1.7668529348342808e-2,1.77026881601373e-2,1.773684697193179e-2,1.777100578372628e-2,1.7805164595520773e-2,1.7839323407315266e-2,1.7873482219109754e-2,1.7907641030904246e-2,1.794179984269874e-2,1.797595865449323e-2,1.801011746628772e-2,1.804427627808221e-2,1.8078435089876704e-2,1.8112593901671196e-2,1.8146752713465684e-2,1.8180911525260177e-2,1.821507033705467e-2,1.824922914884916e-2,1.828338796064365e-2,1.8317546772438142e-2,1.8351705584232634e-2,1.8385864396027126e-2,1.8420023207821615e-2,1.8454182019616107e-2,1.84883408314106e-2,1.852249964320509e-2,1.855665845499958e-2,1.8590817266794072e-2,1.8624976078588564e-2,1.8659134890383056e-2,1.8693293702177545e-2,1.8727452513972037e-2,1.876161132576653e-2,1.879577013756102e-2,1.882992894935551e-2,1.8864087761150002e-2,1.8898246572944494e-2,1.8932405384738987e-2,1.8966564196533475e-2,1.9000723008327967e-2,1.903488182012246e-2,1.906904063191695e-2,1.910319944371144e-2,1.9137358255505933e-2,1.9171517067300425e-2,1.9205675879094917e-2,1.9239834690889406e-2,1.9273993502683898e-2,1.930815231447839e-2,1.9342311126272882e-2,1.937646993806737e-2,1.9410628749861863e-2,1.9444787561656355e-2,1.9478946373450847e-2,1.9513105185245336e-2,1.9547263997039828e-2,1.958142280883432e-2,1.9615581620628812e-2,1.96497404324233e-2,1.9683899244217793e-2,1.9718058056012285e-2,1.9752216867806777e-2,1.9786375679601266e-2,1.9820534491395758e-2,1.985469330319025e-2,1.9888852114984742e-2,1.992301092677923e-2,1.9957169738573723e-2,1.9991328550368215e-2,2.0025487362162704e-2,2.0059646173957196e-2,2.009380498575169e-2,2.012796379754618e-2,2.0162122609340673e-2,2.019628142113516e-2,2.0230440232929654e-2,2.0264599044724146e-2,2.0298757856518634e-2,2.0332916668313127e-2,2.036707548010762e-2,2.040123429190211e-2,2.0435393103696603e-2,2.046955191549109e-2,2.0503710727285584e-2,2.0537869539080076e-2,2.0572028350874565e-2,2.0606187162669057e-2,2.064034597446355e-2,2.067450478625804e-2,2.0708663598052533e-2,2.0742822409847022e-2,2.0776981221641514e-2,2.0811140033436006e-2,2.0845298845230495e-2,2.0879457657024987e-2,2.091361646881948e-2,],
+            [21.93696057324332,24.323735524953364,29.197465686411057,36.75008750960917,47.248277626418485,61.007705134983176,78.35878632902248,99.60495891767276,124.97563466621021,154.5773214493261,188.34766234011738,226.01800790081552,267.0903280285252,310.8335864909691,356.30310088076294,402.38402294292166,447.8571842398891,491.482547822521,532.0928088563512,568.6876833767396,600.5184203373826,627.1522664598195,648.5080867703326,664.8570509451873,676.7860520244654,685.1259888700641,690.8517144497637,694.9646902102361,698.3724901820792,701.7806196819816,705.6112064695835,709.9598805326355,714.5969034794213,719.0120904505084,722.4963654621741,724.2471177814522,723.48097725776,719.5369266930733,711.954989993026,700.5206229119342,685.2713900030592,666.469207695621,644.5470131490156,620.0421145336287,593.529156572744,565.563700677379,536.6435566426949,507.19027225134886,477.5487341742802,447.9996022176686,418.77782180289967,390.0907773898615,362.13136841350666,335.0837430392383,309.1218853193872,284.40312149134456,261.0595539944422,239.1904075297476,218.85749096682912,200.0847993889323,182.86208294073515,167.15129342624252,152.89434445180126,140.02059566447338,128.45279270387934,118.11070564611964,108.91226081461306,100.7724507010389,93.60068621341667,87.2975145400551,81.75176443963267,76.83918639468442,72.42350021276238,68.36042245038495,64.50472756111803,60.719762896263845,56.888210439146604,52.92242352488722,48.77250900225098,44.430555664609024,39.93001125126254,35.34006272821711,30.755784337782483,26.285572702609148,22.037817602200025,18.108778586462353,14.573274687076877,11.479161383345508,8.845831510154438,6.666303326330748,4.911977577921341,3.5389188883712333,2.494539495813015,1.7237762860966004,1.1741684743099787,0.7995749403683968,0.5625474529992474,0.43555794509438145,0.4013533830075499,0.45269331548320124,0.5916411256085017,0.828465891657938,1.180104015328516,1.6680610106593938,2.315629031373574,3.1443682916201947,4.169948369871807,5.39764755359036,6.818024735941304,8.403453934332482,10.1062867001933,11.859333517944679,13.579109923623305,15.17189480676388,16.54215940440886,17.602443088285202,18.28338710822338,18.542485590936373,18.370226260684653,17.79266157209302,16.870001092881687,15.691429395854753,14.366898199321922,13.01700778896602,11.762224038372791,10.712582038139441,9.958771303703996,9.565178629521867,]);
+  
+  var benches = ["fib/fib 10","fib/fib 20","fib/fib 30","intmap/intmap 25k","intmap/intmap 50k","intmap/intmap 75k",];
+  var ylabels = [[-0,'<a href="#b0">fib/fib 10</a>'],[-1,'<a href="#b1">fib/fib 20</a>'],[-2,'<a href="#b2">fib/fib 30</a>'],[-3,'<a href="#b3">intmap/intmap 25k</a>'],[-4,'<a href="#b4">intmap/intmap 50k</a>'],[-5,'<a href="#b5">intmap/intmap 75k</a>'],];
+  var means = $.scaleTimes([8.087233523139602e-7,9.511279240520537e-5,1.1464177420052388e-2,5.067442705544335e-3,1.3085197260292869e-2,1.782442693940053e-2,]);
+  var xs = [];
+  var prev = null;
+  for (var i = 0; i < means[0].length; i++) {
+    var name = benches[i].split(/\//);
+    name.pop();
+    name = name.join('/');
+    if (name != prev) {
+      xs.push({ label: name, data: [[means[0][i], -i]]});
+      prev = name;
+    }
+    else
+      xs[xs.length-1].data.push([means[0][i],-i]);
+  }
+  var oq = $("#overview");
+  o = $.plot(oq, xs, { bars: { show: true, horizontal: true,
+                               barWidth: 0.75, align: "center" },
+                       grid: { borderColor: "#777", hoverable: true },
+                       legend: { show: xs.length > 1 },
+                       xaxis: { max: Math.max.apply(undefined,means[0]) * 1.02 },
+                       yaxis: { ticks: ylabels, tickColor: '#ffffff' } });
+  if (benches.length > 3)
+    o.getPlaceholder().height(28*benches.length);
+  o.resize();
+  o.setupGrid();
+  o.draw();
+  $.addTooltip("#overview", function(x,y) { return x + ' ' + means[1]; });
+});
+$(document).ready(function () {
+    $(".time").text(function(_, text) {
+        return $.renderTime(text);
+      });
+    $(".citime").text(function(_, text) {
+        return $.renderTime(text);
+      });
+    $(".percent").text(function(_, text) {
+        return (text*100).toFixed(1);
+      });
+  });
+</script>
+
+   </div>
+  </div>
+  <div id="footer">
+    <div class="body">
+     <div class="footfirst">
+      <h2>colophon</h2>
+      <p>This report was created using the
+	<a href="http://hackage.haskell.org/package/criterion">criterion</a>
+	benchmark execution and performance analysis tool.</p>
+      <p>Criterion is developed and maintained
+      by <a href="http://www.serpentine.com/blog/">Bryan O'Sullivan</a>.</p>
+     </div>
+    </div>
+  </div>
+ </body>
+</html>
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