Bayes Net.ipynb

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     "collapsed": false,
     "input": [
      "using Stochy, Stochy.GadflySupport, Gadfly, DataStructures"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@pp function rainprior()\n",
      "    flip(0.3)\n",
      "end"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "rainprior (generic function with 1 method)"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@pp function sprinklerprior()\n",
      "    flip(0.2)\n",
      "end"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "sprinklerprior (generic function with 1 method)"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@pp function wetgrassprior(rain, sprinkler)\n",
      "    flip(\n",
      "    !rain && !sprinkler ? 0.05 :\n",
      "    !rain && sprinkler  ? 0.9  :\n",
      "    rain  && !sprinkler ? 0.9  :\n",
      "    rain  && sprinkler  ? 0.95 : :unreachable)\n",
      "end"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "wetgrassprior (generic function with 1 method)"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@pp function model()\n",
      "    local\n",
      "    r = rainprior(),\n",
      "    s = sprinklerprior(),\n",
      "    w = wetgrassprior(r,s)\n",
      "    tuple(r,s,w)\n",
      "end        "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "model (generic function with 1 method)"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@pp model() # Generate a sample from the model."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "(false,false,false)"
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      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Joint Distribution"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "joint = @pp enum() do\n",
      "    model()\n",
      "end"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "Discrete({(false,true,false),(true,false,false),(true,true,false),(false,true,true),(false,false,false),(true,false,true),(false,false,true),(true,true,true)}, [0.014,0.024,0.003,0.126,0.532,0.216,0.028,0.057])"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "bar(joint)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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        "this._drag.y=w;this._drag.id=r.identifier;!q.length&&a.mousemove(e).mouseup(l);q.push({el:this,move_scope:h,start_scope:n,end_scope:p});d&&k.on(\"snap.drag.start.\"+this.id,d);b&&k.on(\"snap.drag.move.\"+this.id,b);f&&k.on(\"snap.drag.end.\"+this.id,f);k(\"snap.drag.start.\"+this.id,n||h||this,v,w,r)}if(!arguments.length){var v;return this.drag(function(a,b){this.attr({transform:v+(v?\"T\":\"t\")+[a,b]})},function(){v=this.transform().local})}this._drag={};r.push({el:this,start:u});this.mousedown(u);return this};\n",
        "A.undrag=function(){for(var b=r.length;b--;)r[b].el==this&&(this.unmousedown(r[b].start),r.splice(b,1),k.unbind(\"snap.drag.*.\"+this.id));!r.length&&a.unmousemove(e).unmouseup(l);return this}});C.plugin(function(a,v,y,C){y=y.prototype;var A=/^\\s*url\\((.+)\\)/,w=String,z=a._.$;a.filter={};y.filter=function(d){var f=this;\"svg\"!=f.type&&(f=f.paper);d=a.parse(w(d));var k=a._.id(),u=z(\"filter\");z(u,{id:k,filterUnits:\"userSpaceOnUse\"});u.appendChild(d.node);f.defs.appendChild(u);return new v(u)};k.on(\"snap.util.getattr.filter\",\n",
        "function(){k.stop();var d=z(this.node,\"filter\");if(d)return(d=w(d).match(A))&&a.select(d[1])});k.on(\"snap.util.attr.filter\",function(d){if(d instanceof v&&\"filter\"==d.type){k.stop();var f=d.node.id;f||(z(d.node,{id:d.id}),f=d.id);z(this.node,{filter:a.url(f)})}d&&\"none\"!=d||(k.stop(),this.node.removeAttribute(\"filter\"))});a.filter.blur=function(d,f){null==d&&(d=2);return a.format('<feGaussianBlur stdDeviation=\"{def}\"/>',{def:null==f?d:[d,f]})};a.filter.blur.toString=function(){return this()};a.filter.shadow=\n",
        "function(d,f,k,u,p){\"string\"==typeof k&&(p=u=k,k=4);\"string\"!=typeof u&&(p=u,u=\"#000\");null==k&&(k=4);null==p&&(p=1);null==d&&(d=0,f=2);null==f&&(f=d);u=a.color(u||\"#000\");return a.format('<feGaussianBlur in=\"SourceAlpha\" stdDeviation=\"{blur}\"/><feOffset dx=\"{dx}\" dy=\"{dy}\" result=\"offsetblur\"/><feFlood flood-color=\"{color}\"/><feComposite in2=\"offsetblur\" operator=\"in\"/><feComponentTransfer><feFuncA type=\"linear\" slope=\"{opacity}\"/></feComponentTransfer><feMerge><feMergeNode/><feMergeNode in=\"SourceGraphic\"/></feMerge>',\n",
        "{color:u,dx:d,dy:f,blur:k,opacity:p})};a.filter.shadow.toString=function(){return this()};a.filter.grayscale=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {b} {h} 0 0 0 0 0 1 0\"/>',{a:0.2126+0.7874*(1-d),b:0.7152-0.7152*(1-d),c:0.0722-0.0722*(1-d),d:0.2126-0.2126*(1-d),e:0.7152+0.2848*(1-d),f:0.0722-0.0722*(1-d),g:0.2126-0.2126*(1-d),h:0.0722+0.9278*(1-d)})};a.filter.grayscale.toString=function(){return this()};a.filter.sepia=\n",
        "function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {h} {i} 0 0 0 0 0 1 0\"/>',{a:0.393+0.607*(1-d),b:0.769-0.769*(1-d),c:0.189-0.189*(1-d),d:0.349-0.349*(1-d),e:0.686+0.314*(1-d),f:0.168-0.168*(1-d),g:0.272-0.272*(1-d),h:0.534-0.534*(1-d),i:0.131+0.869*(1-d)})};a.filter.sepia.toString=function(){return this()};a.filter.saturate=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"saturate\" values=\"{amount}\"/>',{amount:1-\n",
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        "amount2:1-d})};a.filter.invert.toString=function(){return this()};a.filter.brightness=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\"/><feFuncG type=\"linear\" slope=\"{amount}\"/><feFuncB type=\"linear\" slope=\"{amount}\"/></feComponentTransfer>',{amount:d})};a.filter.brightness.toString=function(){return this()};a.filter.contrast=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncG type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncB type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/></feComponentTransfer>',\n",
        "{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
        "\n",
        "]]> </script>\n",
        "<script> <![CDATA[\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "    if (typeof define === \"function\" && define.amd) {\n",
        "        // Define as an anonymous module\n",
        "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
        "            return factory(Snap);\n",
        "        });\n",
        "    } else {\n",
        "        // Browser globals (glob is window)\n",
        "        // Snap adds itself to window\n",
        "        glob.Gadfly = factory(glob.Snap);\n",
        "    }\n",
        "}(this, function (Snap) {\n",
        "\n",
        "var Gadfly = {};\n",
        "\n",
        "// Get an x/y coordinate value in pixels\n",
        "var xPX = function(fig, x) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
        "};\n",
        "\n",
        "var yPX = function(fig, y) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
        "};\n",
        "\n",
        "\n",
        "Snap.plugin(function (Snap, Element, Paper, global) {\n",
        "    // Traverse upwards from a snap element to find and return the first\n",
        "    // note with the \"plotroot\" class.\n",
        "    Element.prototype.plotroot = function () {\n",
        "        var element = this;\n",
        "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.svgroot = function () {\n",
        "        var element = this;\n",
        "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotbounds = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x0: bbox.x,\n",
        "            x1: bbox.x + bbox.width,\n",
        "            y0: bbox.y,\n",
        "            y1: bbox.y + bbox.height\n",
        "        };\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotcenter = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x: bbox.x + bbox.width / 2,\n",
        "            y: bbox.y + bbox.height / 2\n",
        "        };\n",
        "    };\n",
        "\n",
        "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
        "    // does everything right.\n",
        "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
        "    var events = [\"mouseenter\", \"mouseleave\"];\n",
        "\n",
        "    for (i in events) {\n",
        "        (function (event_name) {\n",
        "            var event_name = events[i];\n",
        "            Element.prototype[event_name] = function (fn, scope) {\n",
        "                if (Snap.is(fn, \"function\")) {\n",
        "                    var fn2 = function (event) {\n",
        "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
        "                            return;\n",
        "                        }\n",
        "\n",
        "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
        "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
        "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
        "\n",
        "                        if (reltg != this.node) {\n",
        "                            return fn.apply(this, event);\n",
        "                        }\n",
        "                    };\n",
        "\n",
        "                    if (event_name == \"mouseenter\") {\n",
        "                        this.mouseover(fn2, scope);\n",
        "                    } else {\n",
        "                        this.mouseout(fn2, scope);\n",
        "                    }\n",
        "                }\n",
        "                return this;\n",
        "            };\n",
        "        })(events[i]);\n",
        "    }\n",
        "\n",
        "\n",
        "    Element.prototype.mousewheel = function (fn, scope) {\n",
        "        if (Snap.is(fn, \"function\")) {\n",
        "            var el = this;\n",
        "            var fn2 = function (event) {\n",
        "                fn.apply(el, [event]);\n",
        "            };\n",
        "        }\n",
        "\n",
        "        this.node.addEventListener(\n",
        "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
        "            fn2);\n",
        "\n",
        "        return this;\n",
        "    };\n",
        "\n",
        "\n",
        "    // Snap's attr function can be too slow for things like panning/zooming.\n",
        "    // This is a function to directly update element attributes without going\n",
        "    // through eve.\n",
        "    Element.prototype.attribute = function(key, val) {\n",
        "        if (val === undefined) {\n",
        "            return this.node.getAttribute(key, val);\n",
        "        } else {\n",
        "            return this.node.setAttribute(key, val);\n",
        "        }\n",
        "    };\n",
        "});\n",
        "\n",
        "\n",
        "// When the plot is moused over, emphasize the grid lines.\n",
        "Gadfly.plot_mouseover = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    xgridlines.data(\"unfocused_strokedash\",\n",
        "                    xgridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "    ygridlines.data(\"unfocused_strokedash\",\n",
        "                    ygridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "\n",
        "    // emphasize grid lines\n",
        "    var destcolor = root.data(\"focused_xgrid_color\");\n",
        "    xgridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"focused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // reveal zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 1.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "// Unemphasize grid lines on mouse out.\n",
        "Gadfly.plot_mouseout = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
        "\n",
        "    xgridlines.attr(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // hide zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 0.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "var set_geometry_transform = function(root, tx, ty, scale) {\n",
        "    var xscalable = root.hasClass(\"xscalable\"),\n",
        "        yscalable = root.hasClass(\"yscalable\");\n",
        "\n",
        "    var old_scale = root.data(\"scale\");\n",
        "\n",
        "    var xscale = xscalable ? scale : 1.0,\n",
        "        yscale = yscalable ? scale : 1.0;\n",
        "\n",
        "    tx = xscalable ? tx : 0.0;\n",
        "    ty = yscalable ? ty : 0.0;\n",
        "\n",
        "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
        "\n",
        "    root.selectAll(\".geometry, image\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.transform(t);\n",
        "        });\n",
        "\n",
        "    bounds = root.plotbounds();\n",
        "\n",
        "    if (yscalable) {\n",
        "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
        "        root.selectAll(\".xfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(xfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".ylabels\")\n",
        "            .transform(xfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var y = cy * scale + ty;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (xscalable) {\n",
        "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
        "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
        "        root.selectAll(\".yfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(yfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".xlabels\")\n",
        "            .transform(yfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
        "\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var x = cx * scale + tx;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
        "                    }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
        "    var size_attribs = [\"font-size\"];\n",
        "    var unscaled_selection = \".geometry, .geometry *\";\n",
        "    if (xscalable) {\n",
        "        size_attribs.push(\"rx\");\n",
        "        unscaled_selection += \", .xgridlines\";\n",
        "    }\n",
        "    if (yscalable) {\n",
        "        size_attribs.push(\"ry\");\n",
        "        unscaled_selection += \", .ygridlines\";\n",
        "    }\n",
        "\n",
        "    root.selectAll(unscaled_selection)\n",
        "        .forEach(function (element, i) {\n",
        "            // circle need special help\n",
        "            if (element.node.nodeName == \"circle\") {\n",
        "                var cx = element.attribute(\"cx\"),\n",
        "                    cy = element.attribute(\"cy\");\n",
        "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
        "                                                        cx, cy);\n",
        "                element.transform(unscale_t);\n",
        "                return;\n",
        "            }\n",
        "\n",
        "            for (i in size_attribs) {\n",
        "                var key = size_attribs[i];\n",
        "                var val = parseFloat(element.attribute(key));\n",
        "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
        "                    element.attribute(key, val * old_scale / scale);\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "};\n",
        "\n",
        "\n",
        "// Find the most appropriate tick scale and update label visibility.\n",
        "var update_tickscale = function(root, scale, axis) {\n",
        "    if (!root.hasClass(axis + \"scalable\")) return;\n",
        "\n",
        "    var tickscales = root.data(axis + \"tickscales\");\n",
        "    var best_tickscale = 1.0;\n",
        "    var best_tickscale_dist = Infinity;\n",
        "    for (tickscale in tickscales) {\n",
        "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
        "        if (dist < best_tickscale_dist) {\n",
        "            best_tickscale_dist = dist;\n",
        "            best_tickscale = tickscale;\n",
        "        }\n",
        "    }\n",
        "\n",
        "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
        "        root.data(axis + \"tickscale\", best_tickscale);\n",
        "        var mark_inscale_gridlines = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        var mark_inscale_labels = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
        "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
        "    var old_scale = root.data(\"scale\");\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    // compute the viewport derived from tx, ty, and scale\n",
        "    var x_min = -width * scale - (scale * width - width),\n",
        "        x_max = width * scale,\n",
        "        y_min = -height * scale - (scale * height - height),\n",
        "        y_max = height * scale;\n",
        "\n",
        "    var x0 = bounds.x0 - scale * bounds.x0,\n",
        "        y0 = bounds.y0 - scale * bounds.y0;\n",
        "\n",
        "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
        "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
        "\n",
        "    tx += x0;\n",
        "    ty += y0;\n",
        "\n",
        "    // when the scale change, we may need to alter which set of\n",
        "    // ticks is being displayed\n",
        "    if (scale != old_scale) {\n",
        "        update_tickscale(root, scale, \"x\");\n",
        "        update_tickscale(root, scale, \"y\");\n",
        "    }\n",
        "\n",
        "    set_geometry_transform(root, tx, ty, scale);\n",
        "\n",
        "    root.data(\"scale\", scale);\n",
        "    root.data(\"tx\", tx);\n",
        "    root.data(\"ty\", ty);\n",
        "};\n",
        "\n",
        "\n",
        "var scale_centered_translation = function(root, scale) {\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var scale0 = root.data(\"scale\");\n",
        "\n",
        "    // how off from center the current view is\n",
        "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
        "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
        "\n",
        "    // rescale offsets\n",
        "    xoff = xoff * scale / scale0;\n",
        "    yoff = yoff * scale / scale0;\n",
        "\n",
        "    // adjust for the panel position being scaled\n",
        "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
        "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
        "\n",
        "    return {\n",
        "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
        "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
        "    };\n",
        "};\n",
        "\n",
        "\n",
        "// Initialize data for panning zooming if it isn't already.\n",
        "var init_pan_zoom = function(root) {\n",
        "    if (root.data(\"zoompan-ready\")) {\n",
        "        return;\n",
        "    }\n",
        "\n",
        "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
        "    // stroke-width when zooming, we force it to a fixed value.\n",
        "    var px_per_mm = root.node.getCTM().a;\n",
        "\n",
        "    // Drag events report deltas in pixels, which we'd like to convert to\n",
        "    // millimeters.\n",
        "    root.data(\"px_per_mm\", px_per_mm);\n",
        "\n",
        "    root.selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
        "        if (sw > 0) {\n",
        "            element.attribute(\"stroke-width\", sw);\n",
        "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
        "        }\n",
        "    });\n",
        "\n",
        "    // Store ticks labels original tranformation\n",
        "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
        "        .forEach(function (element, i) {\n",
        "            var lm = element.transform().localMatrix;\n",
        "            element.data(\"static_transform\",\n",
        "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
        "        });\n",
        "\n",
        "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
        "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
        "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
        "    if (root.data(\"xtickscales\") === undefined) {\n",
        "\n",
        "        // index all the tick scales that are listed\n",
        "        var xtickscales = {};\n",
        "        var ytickscales = {};\n",
        "        var add_x_tick_scales = function (element, i) {\n",
        "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "        var add_y_tick_scales = function (element, i) {\n",
        "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "\n",
        "        root.select(\".xgridlines\").selectAll(\"path\").forEach(add_x_tick_scales);\n",
        "        root.select(\".ygridlines\").selectAll(\"path\").forEach(add_y_tick_scales);\n",
        "        root.select(\".xlabels\").selectAll(\"text\").forEach(add_x_tick_scales);\n",
        "        root.select(\".ylabels\").selectAll(\"text\").forEach(add_y_tick_scales);\n",
        "\n",
        "        root.data(\"xtickscales\", xtickscales);\n",
        "        root.data(\"ytickscales\", ytickscales);\n",
        "        root.data(\"xtickscale\", 1.0);\n",
        "    }\n",
        "\n",
        "    var min_scale = 1.0, max_scale = 1.0;\n",
        "    for (scale in xtickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    for (scale in ytickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    root.data(\"min_scale\", min_scale);\n",
        "    root.data(\"max_scale\", max_scale);\n",
        "\n",
        "    // store the original positions of labels\n",
        "    root.select(\".xlabels\")\n",
        "        .selectAll(\"text\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.data(\"x\", element.asPX(\"x\"));\n",
        "        });\n",
        "\n",
        "    root.select(\".ylabels\")\n",
        "        .selectAll(\"text\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.data(\"y\", element.asPX(\"y\"));\n",
        "        });\n",
        "\n",
        "    // mark grid lines and ticks as in or out of scale.\n",
        "    var mark_inscale = function (element, i) {\n",
        "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
        "    };\n",
        "\n",
        "    root.select(\".xgridlines\").selectAll(\"path\").forEach(mark_inscale);\n",
        "    root.select(\".ygridlines\").selectAll(\"path\").forEach(mark_inscale);\n",
        "    root.select(\".xlabels\").selectAll(\"text\").forEach(mark_inscale);\n",
        "    root.select(\".ylabels\").selectAll(\"text\").forEach(mark_inscale);\n",
        "\n",
        "    // figure out the upper ond lower bounds on panning using the maximum\n",
        "    // and minum grid lines\n",
        "    var bounds = root.plotbounds();\n",
        "    var pan_bounds = {\n",
        "        x0: 0.0,\n",
        "        y0: 0.0,\n",
        "        x1: 0.0,\n",
        "        y1: 0.0\n",
        "    };\n",
        "\n",
        "    root.select(\".xgridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                var bbox = element.node.getBBox();\n",
        "                if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
        "                    pan_bounds.x0 = bounds.x1 - bbox.x;\n",
        "                }\n",
        "                if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
        "                    pan_bounds.x1 = bounds.x0 - bbox.x;\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.select(\".ygridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                var bbox = element.node.getBBox();\n",
        "                if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
        "                    pan_bounds.y0 = bounds.y1 - bbox.y;\n",
        "                }\n",
        "                if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
        "                    pan_bounds.y1 = bounds.y0 - bbox.y;\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "\n",
        "    // nudge these values a little\n",
        "    pan_bounds.x0 -= 5;\n",
        "    pan_bounds.x1 += 5;\n",
        "    pan_bounds.y0 -= 5;\n",
        "    pan_bounds.y1 += 5;\n",
        "    root.data(\"pan_bounds\", pan_bounds);\n",
        "\n",
        "    // Set all grid lines at scale 1.0 to visible. Out of bounds lines\n",
        "    // will be clipped.\n",
        "    root.select(\".xgridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                element.attr(\"visibility\", \"visible\");\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.select(\".ygridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                element.attr(\"visibility\", \"visible\");\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.data(\"zoompan-ready\", true)\n",
        "};\n",
        "\n",
        "\n",
        "// Panning\n",
        "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var dx0 = root.data(\"dx\"),\n",
        "        dy0 = root.data(\"dy\");\n",
        "\n",
        "    root.data(\"dx\", dx);\n",
        "    root.data(\"dy\", dy);\n",
        "\n",
        "    dx = dx - dx0;\n",
        "    dy = dy - dy0;\n",
        "\n",
        "    var tx = tx0 + dx,\n",
        "        ty = ty0 + dy;\n",
        "\n",
        "    set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    root.data(\"dx\", 0);\n",
        "    root.data(\"dy\", 0);\n",
        "    init_pan_zoom(root);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onend = function(event) {\n",
        "    var root = this.plotroot();\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_scroll = function(event) {\n",
        "    if (event.shiftKey) {\n",
        "        var root = this.plotroot();\n",
        "        init_pan_zoom(root);\n",
        "        var new_scale = root.data(\"scale\") * Math.pow(2, 0.002 * event.wheelDelta);\n",
        "        new_scale = Math.max(\n",
        "            root.data(\"min_scale\"),\n",
        "            Math.min(root.data(\"max_scale\"), new_scale))\n",
        "        update_plot_scale(root, new_scale);\n",
        "        event.stopPropagation();\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseover = function(event) {\n",
        "    this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseout = function(event) {\n",
        "     this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomout_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var min_scale = root.data(\"min_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.max(min_scale, scale / 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomin_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var max_scale = root.data(\"max_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.min(max_scale, scale * 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_track_click = function(event) {\n",
        "    // TODO\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mousedown = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mouseup = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "// compute the position in [0, 1] of the zoom slider thumb from the current scale\n",
        "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
        "    if (scale >= 1.0) {\n",
        "        return 0.5 + 0.5 * (Math.log(scale) / Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        return 0.5 * (Math.log(scale) - Math.log(min_scale)) / (0 - Math.log(min_scale));\n",
        "    }\n",
        "}\n",
        "\n",
        "\n",
        "var update_plot_scale = function(root, new_scale) {\n",
        "    var trans = scale_centered_translation(root, new_scale);\n",
        "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
        "\n",
        "    root.selectAll(\".zoomslider_thumb\")\n",
        "        .forEach(function (element, i) {\n",
        "            var min_pos = element.data(\"min_pos\"),\n",
        "                max_pos = element.data(\"max_pos\"),\n",
        "                min_scale = root.data(\"min_scale\"),\n",
        "                max_scale = root.data(\"max_scale\");\n",
        "            var xmid = (min_pos + max_pos) / 2;\n",
        "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
        "            element.transform(new Snap.Matrix().translate(\n",
        "                Math.max(min_pos, Math.min(\n",
        "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
        "    });\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y) {\n",
        "    var root = this.plotroot();\n",
        "    var min_pos = this.data(\"min_pos\"),\n",
        "        max_pos = this.data(\"max_pos\"),\n",
        "        min_scale = root.data(\"min_scale\"),\n",
        "        max_scale = root.data(\"max_scale\"),\n",
        "        old_scale = root.data(\"old_scale\");\n",
        "\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var xmid = (min_pos + max_pos) / 2;\n",
        "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
        "                   dx / (max_pos - min_pos);\n",
        "\n",
        "    // compute the new scale\n",
        "    var new_scale;\n",
        "    if (xpos >= 0.5) {\n",
        "        new_scale = Math.exp(2.0 * (xpos - 0.5) * Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        new_scale = Math.exp(2.0 * xpos * (0 - Math.log(min_scale)) +\n",
        "                        Math.log(min_scale));\n",
        "    }\n",
        "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
        "\n",
        "    update_plot_scale(root, new_scale);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragstart = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    // keep track of what the scale was when we started dragging\n",
        "    root.data(\"old_scale\", root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
        "};\n",
        "\n",
        "\n",
        "var toggle_color_class = function(root, color_class, ison) {\n",
        "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
        "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
        "    if (ison) {\n",
        "        guides.animate({opacity: 0.5}, 250);\n",
        "        geoms.animate({opacity: 0.0}, 250);\n",
        "    } else {\n",
        "        guides.animate({opacity: 1.0}, 250);\n",
        "        geoms.animate({opacity: 1.0}, 250);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.colorkey_swatch_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var color_class = this.data(\"color_class\");\n",
        "\n",
        "    if (event.shiftKey) {\n",
        "        root.selectAll(\".colorkey text\")\n",
        "            .forEach(function (element) {\n",
        "                var other_color_class = element.data(\"color_class\");\n",
        "                if (other_color_class != color_class) {\n",
        "                    toggle_color_class(root, other_color_class,\n",
        "                                       element.attr(\"opacity\") == 1.0);\n",
        "                }\n",
        "            });\n",
        "    } else {\n",
        "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "return Gadfly;\n",
        "\n",
        "}));\n",
        "\n",
        "\n",
        "//@ sourceURL=gadfly.js\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
        "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
        "            factory(Snap, Gadfly);\n",
        "        });\n",
        "      } else {\n",
        "          factory(glob.Snap, glob.Gadfly);\n",
        "      }\n",
        "})(window, function (Snap, Gadfly) {\n",
        "    var fig = Snap(\"#fig-30da9851947d4e2085699a4086ececd6\");\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-4\")\n",
        "   .mouseenter(Gadfly.plot_mouseover)\n",
        ".mouseleave(Gadfly.plot_mouseout)\n",
        ".mousewheel(Gadfly.guide_background_scroll)\n",
        ".drag(Gadfly.guide_background_drag_onmove,\n",
        "      Gadfly.guide_background_drag_onstart,\n",
        "      Gadfly.guide_background_drag_onend)\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-7\")\n",
        "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-7\")\n",
        "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-8\")\n",
        "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-8\")\n",
        "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-13\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-13\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-13\")\n",
        "   .click(Gadfly.zoomslider_zoomin_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-15\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-15\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-15\")\n",
        "   .click(Gadfly.zoomslider_track_click);\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-16\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-16\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-16\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-16\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-16\")\n",
        "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
        "     Gadfly.zoomslider_thumb_dragstart,\n",
        "     Gadfly.zoomslider_thumb_dragend)\n",
        ".mousedown(Gadfly.zoomslider_thumb_mousedown)\n",
        ".mouseup(Gadfly.zoomslider_thumb_mouseup)\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-17\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-17\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-30da9851947d4e2085699a4086ececd6-element-17\")\n",
        "   .click(Gadfly.zoomslider_zoomout_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "    });\n",
        "]]> </script>\n",
        "</svg>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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       "text": [
        "Plot(...)"
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    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Marginalization"
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    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "prior = @pp enum() do\n",
      "    local triple = model()\n",
      "    triple[1] # rain\n",
      "end"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "Discrete({false,true}, [0.7,0.3])"
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    {
     "cell_type": "code",
     "collapsed": false,
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      "bar(prior)"
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        "amount2:1-d})};a.filter.invert.toString=function(){return this()};a.filter.brightness=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\"/><feFuncG type=\"linear\" slope=\"{amount}\"/><feFuncB type=\"linear\" slope=\"{amount}\"/></feComponentTransfer>',{amount:d})};a.filter.brightness.toString=function(){return this()};a.filter.contrast=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncG type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncB type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/></feComponentTransfer>',\n",
        "{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
        "\n",
        "]]> </script>\n",
        "<script> <![CDATA[\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "    if (typeof define === \"function\" && define.amd) {\n",
        "        // Define as an anonymous module\n",
        "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
        "            return factory(Snap);\n",
        "        });\n",
        "    } else {\n",
        "        // Browser globals (glob is window)\n",
        "        // Snap adds itself to window\n",
        "        glob.Gadfly = factory(glob.Snap);\n",
        "    }\n",
        "}(this, function (Snap) {\n",
        "\n",
        "var Gadfly = {};\n",
        "\n",
        "// Get an x/y coordinate value in pixels\n",
        "var xPX = function(fig, x) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
        "};\n",
        "\n",
        "var yPX = function(fig, y) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
        "};\n",
        "\n",
        "\n",
        "Snap.plugin(function (Snap, Element, Paper, global) {\n",
        "    // Traverse upwards from a snap element to find and return the first\n",
        "    // note with the \"plotroot\" class.\n",
        "    Element.prototype.plotroot = function () {\n",
        "        var element = this;\n",
        "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.svgroot = function () {\n",
        "        var element = this;\n",
        "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotbounds = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x0: bbox.x,\n",
        "            x1: bbox.x + bbox.width,\n",
        "            y0: bbox.y,\n",
        "            y1: bbox.y + bbox.height\n",
        "        };\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotcenter = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x: bbox.x + bbox.width / 2,\n",
        "            y: bbox.y + bbox.height / 2\n",
        "        };\n",
        "    };\n",
        "\n",
        "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
        "    // does everything right.\n",
        "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
        "    var events = [\"mouseenter\", \"mouseleave\"];\n",
        "\n",
        "    for (i in events) {\n",
        "        (function (event_name) {\n",
        "            var event_name = events[i];\n",
        "            Element.prototype[event_name] = function (fn, scope) {\n",
        "                if (Snap.is(fn, \"function\")) {\n",
        "                    var fn2 = function (event) {\n",
        "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
        "                            return;\n",
        "                        }\n",
        "\n",
        "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
        "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
        "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
        "\n",
        "                        if (reltg != this.node) {\n",
        "                            return fn.apply(this, event);\n",
        "                        }\n",
        "                    };\n",
        "\n",
        "                    if (event_name == \"mouseenter\") {\n",
        "                        this.mouseover(fn2, scope);\n",
        "                    } else {\n",
        "                        this.mouseout(fn2, scope);\n",
        "                    }\n",
        "                }\n",
        "                return this;\n",
        "            };\n",
        "        })(events[i]);\n",
        "    }\n",
        "\n",
        "\n",
        "    Element.prototype.mousewheel = function (fn, scope) {\n",
        "        if (Snap.is(fn, \"function\")) {\n",
        "            var el = this;\n",
        "            var fn2 = function (event) {\n",
        "                fn.apply(el, [event]);\n",
        "            };\n",
        "        }\n",
        "\n",
        "        this.node.addEventListener(\n",
        "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
        "            fn2);\n",
        "\n",
        "        return this;\n",
        "    };\n",
        "\n",
        "\n",
        "    // Snap's attr function can be too slow for things like panning/zooming.\n",
        "    // This is a function to directly update element attributes without going\n",
        "    // through eve.\n",
        "    Element.prototype.attribute = function(key, val) {\n",
        "        if (val === undefined) {\n",
        "            return this.node.getAttribute(key, val);\n",
        "        } else {\n",
        "            return this.node.setAttribute(key, val);\n",
        "        }\n",
        "    };\n",
        "});\n",
        "\n",
        "\n",
        "// When the plot is moused over, emphasize the grid lines.\n",
        "Gadfly.plot_mouseover = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    xgridlines.data(\"unfocused_strokedash\",\n",
        "                    xgridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "    ygridlines.data(\"unfocused_strokedash\",\n",
        "                    ygridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "\n",
        "    // emphasize grid lines\n",
        "    var destcolor = root.data(\"focused_xgrid_color\");\n",
        "    xgridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"focused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // reveal zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 1.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "// Unemphasize grid lines on mouse out.\n",
        "Gadfly.plot_mouseout = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
        "\n",
        "    xgridlines.attr(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // hide zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 0.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "var set_geometry_transform = function(root, tx, ty, scale) {\n",
        "    var xscalable = root.hasClass(\"xscalable\"),\n",
        "        yscalable = root.hasClass(\"yscalable\");\n",
        "\n",
        "    var old_scale = root.data(\"scale\");\n",
        "\n",
        "    var xscale = xscalable ? scale : 1.0,\n",
        "        yscale = yscalable ? scale : 1.0;\n",
        "\n",
        "    tx = xscalable ? tx : 0.0;\n",
        "    ty = yscalable ? ty : 0.0;\n",
        "\n",
        "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
        "\n",
        "    root.selectAll(\".geometry, image\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.transform(t);\n",
        "        });\n",
        "\n",
        "    bounds = root.plotbounds();\n",
        "\n",
        "    if (yscalable) {\n",
        "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
        "        root.selectAll(\".xfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(xfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".ylabels\")\n",
        "            .transform(xfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var y = cy * scale + ty;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (xscalable) {\n",
        "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
        "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
        "        root.selectAll(\".yfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(yfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".xlabels\")\n",
        "            .transform(yfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
        "\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var x = cx * scale + tx;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
        "                    }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
        "    var size_attribs = [\"font-size\"];\n",
        "    var unscaled_selection = \".geometry, .geometry *\";\n",
        "    if (xscalable) {\n",
        "        size_attribs.push(\"rx\");\n",
        "        unscaled_selection += \", .xgridlines\";\n",
        "    }\n",
        "    if (yscalable) {\n",
        "        size_attribs.push(\"ry\");\n",
        "        unscaled_selection += \", .ygridlines\";\n",
        "    }\n",
        "\n",
        "    root.selectAll(unscaled_selection)\n",
        "        .forEach(function (element, i) {\n",
        "            // circle need special help\n",
        "            if (element.node.nodeName == \"circle\") {\n",
        "                var cx = element.attribute(\"cx\"),\n",
        "                    cy = element.attribute(\"cy\");\n",
        "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
        "                                                        cx, cy);\n",
        "                element.transform(unscale_t);\n",
        "                return;\n",
        "            }\n",
        "\n",
        "            for (i in size_attribs) {\n",
        "                var key = size_attribs[i];\n",
        "                var val = parseFloat(element.attribute(key));\n",
        "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
        "                    element.attribute(key, val * old_scale / scale);\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "};\n",
        "\n",
        "\n",
        "// Find the most appropriate tick scale and update label visibility.\n",
        "var update_tickscale = function(root, scale, axis) {\n",
        "    if (!root.hasClass(axis + \"scalable\")) return;\n",
        "\n",
        "    var tickscales = root.data(axis + \"tickscales\");\n",
        "    var best_tickscale = 1.0;\n",
        "    var best_tickscale_dist = Infinity;\n",
        "    for (tickscale in tickscales) {\n",
        "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
        "        if (dist < best_tickscale_dist) {\n",
        "            best_tickscale_dist = dist;\n",
        "            best_tickscale = tickscale;\n",
        "        }\n",
        "    }\n",
        "\n",
        "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
        "        root.data(axis + \"tickscale\", best_tickscale);\n",
        "        var mark_inscale_gridlines = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        var mark_inscale_labels = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
        "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
        "    var old_scale = root.data(\"scale\");\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    // compute the viewport derived from tx, ty, and scale\n",
        "    var x_min = -width * scale - (scale * width - width),\n",
        "        x_max = width * scale,\n",
        "        y_min = -height * scale - (scale * height - height),\n",
        "        y_max = height * scale;\n",
        "\n",
        "    var x0 = bounds.x0 - scale * bounds.x0,\n",
        "        y0 = bounds.y0 - scale * bounds.y0;\n",
        "\n",
        "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
        "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
        "\n",
        "    tx += x0;\n",
        "    ty += y0;\n",
        "\n",
        "    // when the scale change, we may need to alter which set of\n",
        "    // ticks is being displayed\n",
        "    if (scale != old_scale) {\n",
        "        update_tickscale(root, scale, \"x\");\n",
        "        update_tickscale(root, scale, \"y\");\n",
        "    }\n",
        "\n",
        "    set_geometry_transform(root, tx, ty, scale);\n",
        "\n",
        "    root.data(\"scale\", scale);\n",
        "    root.data(\"tx\", tx);\n",
        "    root.data(\"ty\", ty);\n",
        "};\n",
        "\n",
        "\n",
        "var scale_centered_translation = function(root, scale) {\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var scale0 = root.data(\"scale\");\n",
        "\n",
        "    // how off from center the current view is\n",
        "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
        "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
        "\n",
        "    // rescale offsets\n",
        "    xoff = xoff * scale / scale0;\n",
        "    yoff = yoff * scale / scale0;\n",
        "\n",
        "    // adjust for the panel position being scaled\n",
        "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
        "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
        "\n",
        "    return {\n",
        "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
        "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
        "    };\n",
        "};\n",
        "\n",
        "\n",
        "// Initialize data for panning zooming if it isn't already.\n",
        "var init_pan_zoom = function(root) {\n",
        "    if (root.data(\"zoompan-ready\")) {\n",
        "        return;\n",
        "    }\n",
        "\n",
        "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
        "    // stroke-width when zooming, we force it to a fixed value.\n",
        "    var px_per_mm = root.node.getCTM().a;\n",
        "\n",
        "    // Drag events report deltas in pixels, which we'd like to convert to\n",
        "    // millimeters.\n",
        "    root.data(\"px_per_mm\", px_per_mm);\n",
        "\n",
        "    root.selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
        "        if (sw > 0) {\n",
        "            element.attribute(\"stroke-width\", sw);\n",
        "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
        "        }\n",
        "    });\n",
        "\n",
        "    // Store ticks labels original tranformation\n",
        "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
        "        .forEach(function (element, i) {\n",
        "            var lm = element.transform().localMatrix;\n",
        "            element.data(\"static_transform\",\n",
        "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
        "        });\n",
        "\n",
        "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
        "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
        "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
        "    if (root.data(\"xtickscales\") === undefined) {\n",
        "\n",
        "        // index all the tick scales that are listed\n",
        "        var xtickscales = {};\n",
        "        var ytickscales = {};\n",
        "        var add_x_tick_scales = function (element, i) {\n",
        "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "        var add_y_tick_scales = function (element, i) {\n",
        "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "\n",
        "        root.select(\".xgridlines\").selectAll(\"path\").forEach(add_x_tick_scales);\n",
        "        root.select(\".ygridlines\").selectAll(\"path\").forEach(add_y_tick_scales);\n",
        "        root.select(\".xlabels\").selectAll(\"text\").forEach(add_x_tick_scales);\n",
        "        root.select(\".ylabels\").selectAll(\"text\").forEach(add_y_tick_scales);\n",
        "\n",
        "        root.data(\"xtickscales\", xtickscales);\n",
        "        root.data(\"ytickscales\", ytickscales);\n",
        "        root.data(\"xtickscale\", 1.0);\n",
        "    }\n",
        "\n",
        "    var min_scale = 1.0, max_scale = 1.0;\n",
        "    for (scale in xtickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    for (scale in ytickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    root.data(\"min_scale\", min_scale);\n",
        "    root.data(\"max_scale\", max_scale);\n",
        "\n",
        "    // store the original positions of labels\n",
        "    root.select(\".xlabels\")\n",
        "        .selectAll(\"text\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.data(\"x\", element.asPX(\"x\"));\n",
        "        });\n",
        "\n",
        "    root.select(\".ylabels\")\n",
        "        .selectAll(\"text\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.data(\"y\", element.asPX(\"y\"));\n",
        "        });\n",
        "\n",
        "    // mark grid lines and ticks as in or out of scale.\n",
        "    var mark_inscale = function (element, i) {\n",
        "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
        "    };\n",
        "\n",
        "    root.select(\".xgridlines\").selectAll(\"path\").forEach(mark_inscale);\n",
        "    root.select(\".ygridlines\").selectAll(\"path\").forEach(mark_inscale);\n",
        "    root.select(\".xlabels\").selectAll(\"text\").forEach(mark_inscale);\n",
        "    root.select(\".ylabels\").selectAll(\"text\").forEach(mark_inscale);\n",
        "\n",
        "    // figure out the upper ond lower bounds on panning using the maximum\n",
        "    // and minum grid lines\n",
        "    var bounds = root.plotbounds();\n",
        "    var pan_bounds = {\n",
        "        x0: 0.0,\n",
        "        y0: 0.0,\n",
        "        x1: 0.0,\n",
        "        y1: 0.0\n",
        "    };\n",
        "\n",
        "    root.select(\".xgridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                var bbox = element.node.getBBox();\n",
        "                if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
        "                    pan_bounds.x0 = bounds.x1 - bbox.x;\n",
        "                }\n",
        "                if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
        "                    pan_bounds.x1 = bounds.x0 - bbox.x;\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.select(\".ygridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                var bbox = element.node.getBBox();\n",
        "                if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
        "                    pan_bounds.y0 = bounds.y1 - bbox.y;\n",
        "                }\n",
        "                if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
        "                    pan_bounds.y1 = bounds.y0 - bbox.y;\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "\n",
        "    // nudge these values a little\n",
        "    pan_bounds.x0 -= 5;\n",
        "    pan_bounds.x1 += 5;\n",
        "    pan_bounds.y0 -= 5;\n",
        "    pan_bounds.y1 += 5;\n",
        "    root.data(\"pan_bounds\", pan_bounds);\n",
        "\n",
        "    // Set all grid lines at scale 1.0 to visible. Out of bounds lines\n",
        "    // will be clipped.\n",
        "    root.select(\".xgridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                element.attr(\"visibility\", \"visible\");\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.select(\".ygridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                element.attr(\"visibility\", \"visible\");\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.data(\"zoompan-ready\", true)\n",
        "};\n",
        "\n",
        "\n",
        "// Panning\n",
        "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var dx0 = root.data(\"dx\"),\n",
        "        dy0 = root.data(\"dy\");\n",
        "\n",
        "    root.data(\"dx\", dx);\n",
        "    root.data(\"dy\", dy);\n",
        "\n",
        "    dx = dx - dx0;\n",
        "    dy = dy - dy0;\n",
        "\n",
        "    var tx = tx0 + dx,\n",
        "        ty = ty0 + dy;\n",
        "\n",
        "    set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    root.data(\"dx\", 0);\n",
        "    root.data(\"dy\", 0);\n",
        "    init_pan_zoom(root);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onend = function(event) {\n",
        "    var root = this.plotroot();\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_scroll = function(event) {\n",
        "    if (event.shiftKey) {\n",
        "        var root = this.plotroot();\n",
        "        init_pan_zoom(root);\n",
        "        var new_scale = root.data(\"scale\") * Math.pow(2, 0.002 * event.wheelDelta);\n",
        "        new_scale = Math.max(\n",
        "            root.data(\"min_scale\"),\n",
        "            Math.min(root.data(\"max_scale\"), new_scale))\n",
        "        update_plot_scale(root, new_scale);\n",
        "        event.stopPropagation();\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseover = function(event) {\n",
        "    this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseout = function(event) {\n",
        "     this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomout_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var min_scale = root.data(\"min_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.max(min_scale, scale / 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomin_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var max_scale = root.data(\"max_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.min(max_scale, scale * 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_track_click = function(event) {\n",
        "    // TODO\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mousedown = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mouseup = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "// compute the position in [0, 1] of the zoom slider thumb from the current scale\n",
        "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
        "    if (scale >= 1.0) {\n",
        "        return 0.5 + 0.5 * (Math.log(scale) / Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        return 0.5 * (Math.log(scale) - Math.log(min_scale)) / (0 - Math.log(min_scale));\n",
        "    }\n",
        "}\n",
        "\n",
        "\n",
        "var update_plot_scale = function(root, new_scale) {\n",
        "    var trans = scale_centered_translation(root, new_scale);\n",
        "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
        "\n",
        "    root.selectAll(\".zoomslider_thumb\")\n",
        "        .forEach(function (element, i) {\n",
        "            var min_pos = element.data(\"min_pos\"),\n",
        "                max_pos = element.data(\"max_pos\"),\n",
        "                min_scale = root.data(\"min_scale\"),\n",
        "                max_scale = root.data(\"max_scale\");\n",
        "            var xmid = (min_pos + max_pos) / 2;\n",
        "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
        "            element.transform(new Snap.Matrix().translate(\n",
        "                Math.max(min_pos, Math.min(\n",
        "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
        "    });\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y) {\n",
        "    var root = this.plotroot();\n",
        "    var min_pos = this.data(\"min_pos\"),\n",
        "        max_pos = this.data(\"max_pos\"),\n",
        "        min_scale = root.data(\"min_scale\"),\n",
        "        max_scale = root.data(\"max_scale\"),\n",
        "        old_scale = root.data(\"old_scale\");\n",
        "\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var xmid = (min_pos + max_pos) / 2;\n",
        "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
        "                   dx / (max_pos - min_pos);\n",
        "\n",
        "    // compute the new scale\n",
        "    var new_scale;\n",
        "    if (xpos >= 0.5) {\n",
        "        new_scale = Math.exp(2.0 * (xpos - 0.5) * Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        new_scale = Math.exp(2.0 * xpos * (0 - Math.log(min_scale)) +\n",
        "                        Math.log(min_scale));\n",
        "    }\n",
        "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
        "\n",
        "    update_plot_scale(root, new_scale);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragstart = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    // keep track of what the scale was when we started dragging\n",
        "    root.data(\"old_scale\", root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
        "};\n",
        "\n",
        "\n",
        "var toggle_color_class = function(root, color_class, ison) {\n",
        "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
        "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
        "    if (ison) {\n",
        "        guides.animate({opacity: 0.5}, 250);\n",
        "        geoms.animate({opacity: 0.0}, 250);\n",
        "    } else {\n",
        "        guides.animate({opacity: 1.0}, 250);\n",
        "        geoms.animate({opacity: 1.0}, 250);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.colorkey_swatch_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var color_class = this.data(\"color_class\");\n",
        "\n",
        "    if (event.shiftKey) {\n",
        "        root.selectAll(\".colorkey text\")\n",
        "            .forEach(function (element) {\n",
        "                var other_color_class = element.data(\"color_class\");\n",
        "                if (other_color_class != color_class) {\n",
        "                    toggle_color_class(root, other_color_class,\n",
        "                                       element.attr(\"opacity\") == 1.0);\n",
        "                }\n",
        "            });\n",
        "    } else {\n",
        "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "return Gadfly;\n",
        "\n",
        "}));\n",
        "\n",
        "\n",
        "//@ sourceURL=gadfly.js\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
        "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
        "            factory(Snap, Gadfly);\n",
        "        });\n",
        "      } else {\n",
        "          factory(glob.Snap, glob.Gadfly);\n",
        "      }\n",
        "})(window, function (Snap, Gadfly) {\n",
        "    var fig = Snap(\"#fig-653a825b1d534942889bbf2e11e06318\");\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-4\")\n",
        "   .mouseenter(Gadfly.plot_mouseover)\n",
        ".mouseleave(Gadfly.plot_mouseout)\n",
        ".mousewheel(Gadfly.guide_background_scroll)\n",
        ".drag(Gadfly.guide_background_drag_onmove,\n",
        "      Gadfly.guide_background_drag_onstart,\n",
        "      Gadfly.guide_background_drag_onend)\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-7\")\n",
        "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-7\")\n",
        "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-8\")\n",
        "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-8\")\n",
        "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-13\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-13\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-13\")\n",
        "   .click(Gadfly.zoomslider_zoomin_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-15\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-15\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-15\")\n",
        "   .click(Gadfly.zoomslider_track_click);\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-16\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-16\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-16\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-16\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-16\")\n",
        "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
        "     Gadfly.zoomslider_thumb_dragstart,\n",
        "     Gadfly.zoomslider_thumb_dragend)\n",
        ".mousedown(Gadfly.zoomslider_thumb_mousedown)\n",
        ".mouseup(Gadfly.zoomslider_thumb_mouseup)\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-17\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-17\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-653a825b1d534942889bbf2e11e06318-element-17\")\n",
        "   .click(Gadfly.zoomslider_zoomout_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "    });\n",
        "]]> </script>\n",
        "</svg>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Conditioning"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "d1 = @pp enum() do\n",
      "    local triple = model()\n",
      "    factor(triple[3] ? 0 : -Inf) # Observe the grass is wet.\n",
      "    triple[1]\n",
      "end    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "Discrete({false,true}, [0.360656,0.639344])"
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      }
     ],
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "bar(d1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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        "                        this.mouseover(fn2, scope);\n",
        "                    } else {\n",
        "                        this.mouseout(fn2, scope);\n",
        "                    }\n",
        "                }\n",
        "                return this;\n",
        "            };\n",
        "        })(events[i]);\n",
        "    }\n",
        "\n",
        "\n",
        "    Element.prototype.mousewheel = function (fn, scope) {\n",
        "        if (Snap.is(fn, \"function\")) {\n",
        "            var el = this;\n",
        "            var fn2 = function (event) {\n",
        "                fn.apply(el, [event]);\n",
        "            };\n",
        "        }\n",
        "\n",
        "        this.node.addEventListener(\n",
        "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
        "            fn2);\n",
        "\n",
        "        return this;\n",
        "    };\n",
        "\n",
        "\n",
        "    // Snap's attr function can be too slow for things like panning/zooming.\n",
        "    // This is a function to directly update element attributes without going\n",
        "    // through eve.\n",
        "    Element.prototype.attribute = function(key, val) {\n",
        "        if (val === undefined) {\n",
        "            return this.node.getAttribute(key, val);\n",
        "        } else {\n",
        "            return this.node.setAttribute(key, val);\n",
        "        }\n",
        "    };\n",
        "});\n",
        "\n",
        "\n",
        "// When the plot is moused over, emphasize the grid lines.\n",
        "Gadfly.plot_mouseover = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    xgridlines.data(\"unfocused_strokedash\",\n",
        "                    xgridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "    ygridlines.data(\"unfocused_strokedash\",\n",
        "                    ygridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "\n",
        "    // emphasize grid lines\n",
        "    var destcolor = root.data(\"focused_xgrid_color\");\n",
        "    xgridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"focused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // reveal zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 1.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "// Unemphasize grid lines on mouse out.\n",
        "Gadfly.plot_mouseout = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
        "\n",
        "    xgridlines.attr(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // hide zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 0.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "var set_geometry_transform = function(root, tx, ty, scale) {\n",
        "    var xscalable = root.hasClass(\"xscalable\"),\n",
        "        yscalable = root.hasClass(\"yscalable\");\n",
        "\n",
        "    var old_scale = root.data(\"scale\");\n",
        "\n",
        "    var xscale = xscalable ? scale : 1.0,\n",
        "        yscale = yscalable ? scale : 1.0;\n",
        "\n",
        "    tx = xscalable ? tx : 0.0;\n",
        "    ty = yscalable ? ty : 0.0;\n",
        "\n",
        "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
        "\n",
        "    root.selectAll(\".geometry, image\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.transform(t);\n",
        "        });\n",
        "\n",
        "    bounds = root.plotbounds();\n",
        "\n",
        "    if (yscalable) {\n",
        "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
        "        root.selectAll(\".xfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(xfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".ylabels\")\n",
        "            .transform(xfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var y = cy * scale + ty;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (xscalable) {\n",
        "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
        "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
        "        root.selectAll(\".yfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(yfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".xlabels\")\n",
        "            .transform(yfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
        "\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var x = cx * scale + tx;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
        "                    }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
        "    var size_attribs = [\"font-size\"];\n",
        "    var unscaled_selection = \".geometry, .geometry *\";\n",
        "    if (xscalable) {\n",
        "        size_attribs.push(\"rx\");\n",
        "        unscaled_selection += \", .xgridlines\";\n",
        "    }\n",
        "    if (yscalable) {\n",
        "        size_attribs.push(\"ry\");\n",
        "        unscaled_selection += \", .ygridlines\";\n",
        "    }\n",
        "\n",
        "    root.selectAll(unscaled_selection)\n",
        "        .forEach(function (element, i) {\n",
        "            // circle need special help\n",
        "            if (element.node.nodeName == \"circle\") {\n",
        "                var cx = element.attribute(\"cx\"),\n",
        "                    cy = element.attribute(\"cy\");\n",
        "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
        "                                                        cx, cy);\n",
        "                element.transform(unscale_t);\n",
        "                return;\n",
        "            }\n",
        "\n",
        "            for (i in size_attribs) {\n",
        "                var key = size_attribs[i];\n",
        "                var val = parseFloat(element.attribute(key));\n",
        "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
        "                    element.attribute(key, val * old_scale / scale);\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "};\n",
        "\n",
        "\n",
        "// Find the most appropriate tick scale and update label visibility.\n",
        "var update_tickscale = function(root, scale, axis) {\n",
        "    if (!root.hasClass(axis + \"scalable\")) return;\n",
        "\n",
        "    var tickscales = root.data(axis + \"tickscales\");\n",
        "    var best_tickscale = 1.0;\n",
        "    var best_tickscale_dist = Infinity;\n",
        "    for (tickscale in tickscales) {\n",
        "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
        "        if (dist < best_tickscale_dist) {\n",
        "            best_tickscale_dist = dist;\n",
        "            best_tickscale = tickscale;\n",
        "        }\n",
        "    }\n",
        "\n",
        "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
        "        root.data(axis + \"tickscale\", best_tickscale);\n",
        "        var mark_inscale_gridlines = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        var mark_inscale_labels = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
        "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
        "    var old_scale = root.data(\"scale\");\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    // compute the viewport derived from tx, ty, and scale\n",
        "    var x_min = -width * scale - (scale * width - width),\n",
        "        x_max = width * scale,\n",
        "        y_min = -height * scale - (scale * height - height),\n",
        "        y_max = height * scale;\n",
        "\n",
        "    var x0 = bounds.x0 - scale * bounds.x0,\n",
        "        y0 = bounds.y0 - scale * bounds.y0;\n",
        "\n",
        "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
        "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
        "\n",
        "    tx += x0;\n",
        "    ty += y0;\n",
        "\n",
        "    // when the scale change, we may need to alter which set of\n",
        "    // ticks is being displayed\n",
        "    if (scale != old_scale) {\n",
        "        update_tickscale(root, scale, \"x\");\n",
        "        update_tickscale(root, scale, \"y\");\n",
        "    }\n",
        "\n",
        "    set_geometry_transform(root, tx, ty, scale);\n",
        "\n",
        "    root.data(\"scale\", scale);\n",
        "    root.data(\"tx\", tx);\n",
        "    root.data(\"ty\", ty);\n",
        "};\n",
        "\n",
        "\n",
        "var scale_centered_translation = function(root, scale) {\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var scale0 = root.data(\"scale\");\n",
        "\n",
        "    // how off from center the current view is\n",
        "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
        "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
        "\n",
        "    // rescale offsets\n",
        "    xoff = xoff * scale / scale0;\n",
        "    yoff = yoff * scale / scale0;\n",
        "\n",
        "    // adjust for the panel position being scaled\n",
        "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
        "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
        "\n",
        "    return {\n",
        "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
        "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
        "    };\n",
        "};\n",
        "\n",
        "\n",
        "// Initialize data for panning zooming if it isn't already.\n",
        "var init_pan_zoom = function(root) {\n",
        "    if (root.data(\"zoompan-ready\")) {\n",
        "        return;\n",
        "    }\n",
        "\n",
        "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
        "    // stroke-width when zooming, we force it to a fixed value.\n",
        "    var px_per_mm = root.node.getCTM().a;\n",
        "\n",
        "    // Drag events report deltas in pixels, which we'd like to convert to\n",
        "    // millimeters.\n",
        "    root.data(\"px_per_mm\", px_per_mm);\n",
        "\n",
        "    root.selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
        "        if (sw > 0) {\n",
        "            element.attribute(\"stroke-width\", sw);\n",
        "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
        "        }\n",
        "    });\n",
        "\n",
        "    // Store ticks labels original tranformation\n",
        "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
        "        .forEach(function (element, i) {\n",
        "            var lm = element.transform().localMatrix;\n",
        "            element.data(\"static_transform\",\n",
        "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
        "        });\n",
        "\n",
        "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
        "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
        "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
        "    if (root.data(\"xtickscales\") === undefined) {\n",
        "\n",
        "        // index all the tick scales that are listed\n",
        "        var xtickscales = {};\n",
        "        var ytickscales = {};\n",
        "        var add_x_tick_scales = function (element, i) {\n",
        "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "        var add_y_tick_scales = function (element, i) {\n",
        "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "\n",
        "        root.select(\".xgridlines\").selectAll(\"path\").forEach(add_x_tick_scales);\n",
        "        root.select(\".ygridlines\").selectAll(\"path\").forEach(add_y_tick_scales);\n",
        "        root.select(\".xlabels\").selectAll(\"text\").forEach(add_x_tick_scales);\n",
        "        root.select(\".ylabels\").selectAll(\"text\").forEach(add_y_tick_scales);\n",
        "\n",
        "        root.data(\"xtickscales\", xtickscales);\n",
        "        root.data(\"ytickscales\", ytickscales);\n",
        "        root.data(\"xtickscale\", 1.0);\n",
        "    }\n",
        "\n",
        "    var min_scale = 1.0, max_scale = 1.0;\n",
        "    for (scale in xtickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    for (scale in ytickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    root.data(\"min_scale\", min_scale);\n",
        "    root.data(\"max_scale\", max_scale);\n",
        "\n",
        "    // store the original positions of labels\n",
        "    root.select(\".xlabels\")\n",
        "        .selectAll(\"text\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.data(\"x\", element.asPX(\"x\"));\n",
        "        });\n",
        "\n",
        "    root.select(\".ylabels\")\n",
        "        .selectAll(\"text\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.data(\"y\", element.asPX(\"y\"));\n",
        "        });\n",
        "\n",
        "    // mark grid lines and ticks as in or out of scale.\n",
        "    var mark_inscale = function (element, i) {\n",
        "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
        "    };\n",
        "\n",
        "    root.select(\".xgridlines\").selectAll(\"path\").forEach(mark_inscale);\n",
        "    root.select(\".ygridlines\").selectAll(\"path\").forEach(mark_inscale);\n",
        "    root.select(\".xlabels\").selectAll(\"text\").forEach(mark_inscale);\n",
        "    root.select(\".ylabels\").selectAll(\"text\").forEach(mark_inscale);\n",
        "\n",
        "    // figure out the upper ond lower bounds on panning using the maximum\n",
        "    // and minum grid lines\n",
        "    var bounds = root.plotbounds();\n",
        "    var pan_bounds = {\n",
        "        x0: 0.0,\n",
        "        y0: 0.0,\n",
        "        x1: 0.0,\n",
        "        y1: 0.0\n",
        "    };\n",
        "\n",
        "    root.select(\".xgridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                var bbox = element.node.getBBox();\n",
        "                if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
        "                    pan_bounds.x0 = bounds.x1 - bbox.x;\n",
        "                }\n",
        "                if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
        "                    pan_bounds.x1 = bounds.x0 - bbox.x;\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.select(\".ygridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                var bbox = element.node.getBBox();\n",
        "                if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
        "                    pan_bounds.y0 = bounds.y1 - bbox.y;\n",
        "                }\n",
        "                if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
        "                    pan_bounds.y1 = bounds.y0 - bbox.y;\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "\n",
        "    // nudge these values a little\n",
        "    pan_bounds.x0 -= 5;\n",
        "    pan_bounds.x1 += 5;\n",
        "    pan_bounds.y0 -= 5;\n",
        "    pan_bounds.y1 += 5;\n",
        "    root.data(\"pan_bounds\", pan_bounds);\n",
        "\n",
        "    // Set all grid lines at scale 1.0 to visible. Out of bounds lines\n",
        "    // will be clipped.\n",
        "    root.select(\".xgridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                element.attr(\"visibility\", \"visible\");\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.select(\".ygridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                element.attr(\"visibility\", \"visible\");\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.data(\"zoompan-ready\", true)\n",
        "};\n",
        "\n",
        "\n",
        "// Panning\n",
        "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var dx0 = root.data(\"dx\"),\n",
        "        dy0 = root.data(\"dy\");\n",
        "\n",
        "    root.data(\"dx\", dx);\n",
        "    root.data(\"dy\", dy);\n",
        "\n",
        "    dx = dx - dx0;\n",
        "    dy = dy - dy0;\n",
        "\n",
        "    var tx = tx0 + dx,\n",
        "        ty = ty0 + dy;\n",
        "\n",
        "    set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    root.data(\"dx\", 0);\n",
        "    root.data(\"dy\", 0);\n",
        "    init_pan_zoom(root);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onend = function(event) {\n",
        "    var root = this.plotroot();\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_scroll = function(event) {\n",
        "    if (event.shiftKey) {\n",
        "        var root = this.plotroot();\n",
        "        init_pan_zoom(root);\n",
        "        var new_scale = root.data(\"scale\") * Math.pow(2, 0.002 * event.wheelDelta);\n",
        "        new_scale = Math.max(\n",
        "            root.data(\"min_scale\"),\n",
        "            Math.min(root.data(\"max_scale\"), new_scale))\n",
        "        update_plot_scale(root, new_scale);\n",
        "        event.stopPropagation();\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseover = function(event) {\n",
        "    this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseout = function(event) {\n",
        "     this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomout_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var min_scale = root.data(\"min_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.max(min_scale, scale / 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomin_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var max_scale = root.data(\"max_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.min(max_scale, scale * 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_track_click = function(event) {\n",
        "    // TODO\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mousedown = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mouseup = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "// compute the position in [0, 1] of the zoom slider thumb from the current scale\n",
        "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
        "    if (scale >= 1.0) {\n",
        "        return 0.5 + 0.5 * (Math.log(scale) / Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        return 0.5 * (Math.log(scale) - Math.log(min_scale)) / (0 - Math.log(min_scale));\n",
        "    }\n",
        "}\n",
        "\n",
        "\n",
        "var update_plot_scale = function(root, new_scale) {\n",
        "    var trans = scale_centered_translation(root, new_scale);\n",
        "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
        "\n",
        "    root.selectAll(\".zoomslider_thumb\")\n",
        "        .forEach(function (element, i) {\n",
        "            var min_pos = element.data(\"min_pos\"),\n",
        "                max_pos = element.data(\"max_pos\"),\n",
        "                min_scale = root.data(\"min_scale\"),\n",
        "                max_scale = root.data(\"max_scale\");\n",
        "            var xmid = (min_pos + max_pos) / 2;\n",
        "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
        "            element.transform(new Snap.Matrix().translate(\n",
        "                Math.max(min_pos, Math.min(\n",
        "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
        "    });\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y) {\n",
        "    var root = this.plotroot();\n",
        "    var min_pos = this.data(\"min_pos\"),\n",
        "        max_pos = this.data(\"max_pos\"),\n",
        "        min_scale = root.data(\"min_scale\"),\n",
        "        max_scale = root.data(\"max_scale\"),\n",
        "        old_scale = root.data(\"old_scale\");\n",
        "\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var xmid = (min_pos + max_pos) / 2;\n",
        "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
        "                   dx / (max_pos - min_pos);\n",
        "\n",
        "    // compute the new scale\n",
        "    var new_scale;\n",
        "    if (xpos >= 0.5) {\n",
        "        new_scale = Math.exp(2.0 * (xpos - 0.5) * Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        new_scale = Math.exp(2.0 * xpos * (0 - Math.log(min_scale)) +\n",
        "                        Math.log(min_scale));\n",
        "    }\n",
        "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
        "\n",
        "    update_plot_scale(root, new_scale);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragstart = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    // keep track of what the scale was when we started dragging\n",
        "    root.data(\"old_scale\", root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
        "};\n",
        "\n",
        "\n",
        "var toggle_color_class = function(root, color_class, ison) {\n",
        "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
        "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
        "    if (ison) {\n",
        "        guides.animate({opacity: 0.5}, 250);\n",
        "        geoms.animate({opacity: 0.0}, 250);\n",
        "    } else {\n",
        "        guides.animate({opacity: 1.0}, 250);\n",
        "        geoms.animate({opacity: 1.0}, 250);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.colorkey_swatch_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var color_class = this.data(\"color_class\");\n",
        "\n",
        "    if (event.shiftKey) {\n",
        "        root.selectAll(\".colorkey text\")\n",
        "            .forEach(function (element) {\n",
        "                var other_color_class = element.data(\"color_class\");\n",
        "                if (other_color_class != color_class) {\n",
        "                    toggle_color_class(root, other_color_class,\n",
        "                                       element.attr(\"opacity\") == 1.0);\n",
        "                }\n",
        "            });\n",
        "    } else {\n",
        "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "return Gadfly;\n",
        "\n",
        "}));\n",
        "\n",
        "\n",
        "//@ sourceURL=gadfly.js\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
        "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
        "            factory(Snap, Gadfly);\n",
        "        });\n",
        "      } else {\n",
        "          factory(glob.Snap, glob.Gadfly);\n",
        "      }\n",
        "})(window, function (Snap, Gadfly) {\n",
        "    var fig = Snap(\"#fig-4380d555a7b446f09bca8d1f9f62da49\");\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-4\")\n",
        "   .mouseenter(Gadfly.plot_mouseover)\n",
        ".mouseleave(Gadfly.plot_mouseout)\n",
        ".mousewheel(Gadfly.guide_background_scroll)\n",
        ".drag(Gadfly.guide_background_drag_onmove,\n",
        "      Gadfly.guide_background_drag_onstart,\n",
        "      Gadfly.guide_background_drag_onend)\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-7\")\n",
        "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-7\")\n",
        "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-8\")\n",
        "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-8\")\n",
        "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-13\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-13\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-13\")\n",
        "   .click(Gadfly.zoomslider_zoomin_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-15\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-15\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-15\")\n",
        "   .click(Gadfly.zoomslider_track_click);\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-16\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-16\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-16\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-16\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-16\")\n",
        "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
        "     Gadfly.zoomslider_thumb_dragstart,\n",
        "     Gadfly.zoomslider_thumb_dragend)\n",
        ".mousedown(Gadfly.zoomslider_thumb_mousedown)\n",
        ".mouseup(Gadfly.zoomslider_thumb_mouseup)\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-17\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-17\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-4380d555a7b446f09bca8d1f9f62da49-element-17\")\n",
        "   .click(Gadfly.zoomslider_zoomout_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "    });\n",
        "]]> </script>\n",
        "</svg>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Explaining Away"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "d2 = @pp enum() do\n",
      "    local triple = model()\n",
      "    factor(triple[3] && triple[2] ? 0 : -Inf) # Also observe that the sprinkler is on.\n",
      "    triple[1]\n",
      "end"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "Discrete({false,true}, [0.688525,0.311475])"
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      }
     ],
     "prompt_number": 13
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
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     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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        "                        this.mouseover(fn2, scope);\n",
        "                    } else {\n",
        "                        this.mouseout(fn2, scope);\n",
        "                    }\n",
        "                }\n",
        "                return this;\n",
        "            };\n",
        "        })(events[i]);\n",
        "    }\n",
        "\n",
        "\n",
        "    Element.prototype.mousewheel = function (fn, scope) {\n",
        "        if (Snap.is(fn, \"function\")) {\n",
        "            var el = this;\n",
        "            var fn2 = function (event) {\n",
        "                fn.apply(el, [event]);\n",
        "            };\n",
        "        }\n",
        "\n",
        "        this.node.addEventListener(\n",
        "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
        "            fn2);\n",
        "\n",
        "        return this;\n",
        "    };\n",
        "\n",
        "\n",
        "    // Snap's attr function can be too slow for things like panning/zooming.\n",
        "    // This is a function to directly update element attributes without going\n",
        "    // through eve.\n",
        "    Element.prototype.attribute = function(key, val) {\n",
        "        if (val === undefined) {\n",
        "            return this.node.getAttribute(key, val);\n",
        "        } else {\n",
        "            return this.node.setAttribute(key, val);\n",
        "        }\n",
        "    };\n",
        "});\n",
        "\n",
        "\n",
        "// When the plot is moused over, emphasize the grid lines.\n",
        "Gadfly.plot_mouseover = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    xgridlines.data(\"unfocused_strokedash\",\n",
        "                    xgridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "    ygridlines.data(\"unfocused_strokedash\",\n",
        "                    ygridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "\n",
        "    // emphasize grid lines\n",
        "    var destcolor = root.data(\"focused_xgrid_color\");\n",
        "    xgridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"focused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // reveal zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 1.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "// Unemphasize grid lines on mouse out.\n",
        "Gadfly.plot_mouseout = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
        "\n",
        "    xgridlines.attr(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // hide zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 0.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "var set_geometry_transform = function(root, tx, ty, scale) {\n",
        "    var xscalable = root.hasClass(\"xscalable\"),\n",
        "        yscalable = root.hasClass(\"yscalable\");\n",
        "\n",
        "    var old_scale = root.data(\"scale\");\n",
        "\n",
        "    var xscale = xscalable ? scale : 1.0,\n",
        "        yscale = yscalable ? scale : 1.0;\n",
        "\n",
        "    tx = xscalable ? tx : 0.0;\n",
        "    ty = yscalable ? ty : 0.0;\n",
        "\n",
        "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
        "\n",
        "    root.selectAll(\".geometry, image\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.transform(t);\n",
        "        });\n",
        "\n",
        "    bounds = root.plotbounds();\n",
        "\n",
        "    if (yscalable) {\n",
        "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
        "        root.selectAll(\".xfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(xfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".ylabels\")\n",
        "            .transform(xfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var y = cy * scale + ty;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (xscalable) {\n",
        "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
        "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
        "        root.selectAll(\".yfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(yfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".xlabels\")\n",
        "            .transform(yfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
        "\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var x = cx * scale + tx;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
        "                    }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
        "    var size_attribs = [\"font-size\"];\n",
        "    var unscaled_selection = \".geometry, .geometry *\";\n",
        "    if (xscalable) {\n",
        "        size_attribs.push(\"rx\");\n",
        "        unscaled_selection += \", .xgridlines\";\n",
        "    }\n",
        "    if (yscalable) {\n",
        "        size_attribs.push(\"ry\");\n",
        "        unscaled_selection += \", .ygridlines\";\n",
        "    }\n",
        "\n",
        "    root.selectAll(unscaled_selection)\n",
        "        .forEach(function (element, i) {\n",
        "            // circle need special help\n",
        "            if (element.node.nodeName == \"circle\") {\n",
        "                var cx = element.attribute(\"cx\"),\n",
        "                    cy = element.attribute(\"cy\");\n",
        "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
        "                                                        cx, cy);\n",
        "                element.transform(unscale_t);\n",
        "                return;\n",
        "            }\n",
        "\n",
        "            for (i in size_attribs) {\n",
        "                var key = size_attribs[i];\n",
        "                var val = parseFloat(element.attribute(key));\n",
        "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
        "                    element.attribute(key, val * old_scale / scale);\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "};\n",
        "\n",
        "\n",
        "// Find the most appropriate tick scale and update label visibility.\n",
        "var update_tickscale = function(root, scale, axis) {\n",
        "    if (!root.hasClass(axis + \"scalable\")) return;\n",
        "\n",
        "    var tickscales = root.data(axis + \"tickscales\");\n",
        "    var best_tickscale = 1.0;\n",
        "    var best_tickscale_dist = Infinity;\n",
        "    for (tickscale in tickscales) {\n",
        "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
        "        if (dist < best_tickscale_dist) {\n",
        "            best_tickscale_dist = dist;\n",
        "            best_tickscale = tickscale;\n",
        "        }\n",
        "    }\n",
        "\n",
        "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
        "        root.data(axis + \"tickscale\", best_tickscale);\n",
        "        var mark_inscale_gridlines = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        var mark_inscale_labels = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
        "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
        "    var old_scale = root.data(\"scale\");\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    // compute the viewport derived from tx, ty, and scale\n",
        "    var x_min = -width * scale - (scale * width - width),\n",
        "        x_max = width * scale,\n",
        "        y_min = -height * scale - (scale * height - height),\n",
        "        y_max = height * scale;\n",
        "\n",
        "    var x0 = bounds.x0 - scale * bounds.x0,\n",
        "        y0 = bounds.y0 - scale * bounds.y0;\n",
        "\n",
        "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
        "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
        "\n",
        "    tx += x0;\n",
        "    ty += y0;\n",
        "\n",
        "    // when the scale change, we may need to alter which set of\n",
        "    // ticks is being displayed\n",
        "    if (scale != old_scale) {\n",
        "        update_tickscale(root, scale, \"x\");\n",
        "        update_tickscale(root, scale, \"y\");\n",
        "    }\n",
        "\n",
        "    set_geometry_transform(root, tx, ty, scale);\n",
        "\n",
        "    root.data(\"scale\", scale);\n",
        "    root.data(\"tx\", tx);\n",
        "    root.data(\"ty\", ty);\n",
        "};\n",
        "\n",
        "\n",
        "var scale_centered_translation = function(root, scale) {\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var scale0 = root.data(\"scale\");\n",
        "\n",
        "    // how off from center the current view is\n",
        "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
        "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
        "\n",
        "    // rescale offsets\n",
        "    xoff = xoff * scale / scale0;\n",
        "    yoff = yoff * scale / scale0;\n",
        "\n",
        "    // adjust for the panel position being scaled\n",
        "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
        "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
        "\n",
        "    return {\n",
        "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
        "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
        "    };\n",
        "};\n",
        "\n",
        "\n",
        "// Initialize data for panning zooming if it isn't already.\n",
        "var init_pan_zoom = function(root) {\n",
        "    if (root.data(\"zoompan-ready\")) {\n",
        "        return;\n",
        "    }\n",
        "\n",
        "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
        "    // stroke-width when zooming, we force it to a fixed value.\n",
        "    var px_per_mm = root.node.getCTM().a;\n",
        "\n",
        "    // Drag events report deltas in pixels, which we'd like to convert to\n",
        "    // millimeters.\n",
        "    root.data(\"px_per_mm\", px_per_mm);\n",
        "\n",
        "    root.selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
        "        if (sw > 0) {\n",
        "            element.attribute(\"stroke-width\", sw);\n",
        "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
        "        }\n",
        "    });\n",
        "\n",
        "    // Store ticks labels original tranformation\n",
        "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
        "        .forEach(function (element, i) {\n",
        "            var lm = element.transform().localMatrix;\n",
        "            element.data(\"static_transform\",\n",
        "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
        "        });\n",
        "\n",
        "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
        "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
        "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
        "    if (root.data(\"xtickscales\") === undefined) {\n",
        "\n",
        "        // index all the tick scales that are listed\n",
        "        var xtickscales = {};\n",
        "        var ytickscales = {};\n",
        "        var add_x_tick_scales = function (element, i) {\n",
        "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "        var add_y_tick_scales = function (element, i) {\n",
        "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "\n",
        "        root.select(\".xgridlines\").selectAll(\"path\").forEach(add_x_tick_scales);\n",
        "        root.select(\".ygridlines\").selectAll(\"path\").forEach(add_y_tick_scales);\n",
        "        root.select(\".xlabels\").selectAll(\"text\").forEach(add_x_tick_scales);\n",
        "        root.select(\".ylabels\").selectAll(\"text\").forEach(add_y_tick_scales);\n",
        "\n",
        "        root.data(\"xtickscales\", xtickscales);\n",
        "        root.data(\"ytickscales\", ytickscales);\n",
        "        root.data(\"xtickscale\", 1.0);\n",
        "    }\n",
        "\n",
        "    var min_scale = 1.0, max_scale = 1.0;\n",
        "    for (scale in xtickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    for (scale in ytickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    root.data(\"min_scale\", min_scale);\n",
        "    root.data(\"max_scale\", max_scale);\n",
        "\n",
        "    // store the original positions of labels\n",
        "    root.select(\".xlabels\")\n",
        "        .selectAll(\"text\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.data(\"x\", element.asPX(\"x\"));\n",
        "        });\n",
        "\n",
        "    root.select(\".ylabels\")\n",
        "        .selectAll(\"text\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.data(\"y\", element.asPX(\"y\"));\n",
        "        });\n",
        "\n",
        "    // mark grid lines and ticks as in or out of scale.\n",
        "    var mark_inscale = function (element, i) {\n",
        "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
        "    };\n",
        "\n",
        "    root.select(\".xgridlines\").selectAll(\"path\").forEach(mark_inscale);\n",
        "    root.select(\".ygridlines\").selectAll(\"path\").forEach(mark_inscale);\n",
        "    root.select(\".xlabels\").selectAll(\"text\").forEach(mark_inscale);\n",
        "    root.select(\".ylabels\").selectAll(\"text\").forEach(mark_inscale);\n",
        "\n",
        "    // figure out the upper ond lower bounds on panning using the maximum\n",
        "    // and minum grid lines\n",
        "    var bounds = root.plotbounds();\n",
        "    var pan_bounds = {\n",
        "        x0: 0.0,\n",
        "        y0: 0.0,\n",
        "        x1: 0.0,\n",
        "        y1: 0.0\n",
        "    };\n",
        "\n",
        "    root.select(\".xgridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                var bbox = element.node.getBBox();\n",
        "                if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
        "                    pan_bounds.x0 = bounds.x1 - bbox.x;\n",
        "                }\n",
        "                if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
        "                    pan_bounds.x1 = bounds.x0 - bbox.x;\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.select(\".ygridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                var bbox = element.node.getBBox();\n",
        "                if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
        "                    pan_bounds.y0 = bounds.y1 - bbox.y;\n",
        "                }\n",
        "                if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
        "                    pan_bounds.y1 = bounds.y0 - bbox.y;\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "\n",
        "    // nudge these values a little\n",
        "    pan_bounds.x0 -= 5;\n",
        "    pan_bounds.x1 += 5;\n",
        "    pan_bounds.y0 -= 5;\n",
        "    pan_bounds.y1 += 5;\n",
        "    root.data(\"pan_bounds\", pan_bounds);\n",
        "\n",
        "    // Set all grid lines at scale 1.0 to visible. Out of bounds lines\n",
        "    // will be clipped.\n",
        "    root.select(\".xgridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                element.attr(\"visibility\", \"visible\");\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.select(\".ygridlines\")\n",
        "        .selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "            if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                element.attr(\"visibility\", \"visible\");\n",
        "            }\n",
        "        });\n",
        "\n",
        "    root.data(\"zoompan-ready\", true)\n",
        "};\n",
        "\n",
        "\n",
        "// Panning\n",
        "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var dx0 = root.data(\"dx\"),\n",
        "        dy0 = root.data(\"dy\");\n",
        "\n",
        "    root.data(\"dx\", dx);\n",
        "    root.data(\"dy\", dy);\n",
        "\n",
        "    dx = dx - dx0;\n",
        "    dy = dy - dy0;\n",
        "\n",
        "    var tx = tx0 + dx,\n",
        "        ty = ty0 + dy;\n",
        "\n",
        "    set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    root.data(\"dx\", 0);\n",
        "    root.data(\"dy\", 0);\n",
        "    init_pan_zoom(root);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onend = function(event) {\n",
        "    var root = this.plotroot();\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_scroll = function(event) {\n",
        "    if (event.shiftKey) {\n",
        "        var root = this.plotroot();\n",
        "        init_pan_zoom(root);\n",
        "        var new_scale = root.data(\"scale\") * Math.pow(2, 0.002 * event.wheelDelta);\n",
        "        new_scale = Math.max(\n",
        "            root.data(\"min_scale\"),\n",
        "            Math.min(root.data(\"max_scale\"), new_scale))\n",
        "        update_plot_scale(root, new_scale);\n",
        "        event.stopPropagation();\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseover = function(event) {\n",
        "    this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseout = function(event) {\n",
        "     this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomout_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var min_scale = root.data(\"min_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.max(min_scale, scale / 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomin_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var max_scale = root.data(\"max_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.min(max_scale, scale * 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_track_click = function(event) {\n",
        "    // TODO\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mousedown = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mouseup = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "// compute the position in [0, 1] of the zoom slider thumb from the current scale\n",
        "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
        "    if (scale >= 1.0) {\n",
        "        return 0.5 + 0.5 * (Math.log(scale) / Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        return 0.5 * (Math.log(scale) - Math.log(min_scale)) / (0 - Math.log(min_scale));\n",
        "    }\n",
        "}\n",
        "\n",
        "\n",
        "var update_plot_scale = function(root, new_scale) {\n",
        "    var trans = scale_centered_translation(root, new_scale);\n",
        "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
        "\n",
        "    root.selectAll(\".zoomslider_thumb\")\n",
        "        .forEach(function (element, i) {\n",
        "            var min_pos = element.data(\"min_pos\"),\n",
        "                max_pos = element.data(\"max_pos\"),\n",
        "                min_scale = root.data(\"min_scale\"),\n",
        "                max_scale = root.data(\"max_scale\");\n",
        "            var xmid = (min_pos + max_pos) / 2;\n",
        "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
        "            element.transform(new Snap.Matrix().translate(\n",
        "                Math.max(min_pos, Math.min(\n",
        "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
        "    });\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y) {\n",
        "    var root = this.plotroot();\n",
        "    var min_pos = this.data(\"min_pos\"),\n",
        "        max_pos = this.data(\"max_pos\"),\n",
        "        min_scale = root.data(\"min_scale\"),\n",
        "        max_scale = root.data(\"max_scale\"),\n",
        "        old_scale = root.data(\"old_scale\");\n",
        "\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var xmid = (min_pos + max_pos) / 2;\n",
        "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
        "                   dx / (max_pos - min_pos);\n",
        "\n",
        "    // compute the new scale\n",
        "    var new_scale;\n",
        "    if (xpos >= 0.5) {\n",
        "        new_scale = Math.exp(2.0 * (xpos - 0.5) * Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        new_scale = Math.exp(2.0 * xpos * (0 - Math.log(min_scale)) +\n",
        "                        Math.log(min_scale));\n",
        "    }\n",
        "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
        "\n",
        "    update_plot_scale(root, new_scale);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragstart = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    // keep track of what the scale was when we started dragging\n",
        "    root.data(\"old_scale\", root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
        "};\n",
        "\n",
        "\n",
        "var toggle_color_class = function(root, color_class, ison) {\n",
        "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
        "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
        "    if (ison) {\n",
        "        guides.animate({opacity: 0.5}, 250);\n",
        "        geoms.animate({opacity: 0.0}, 250);\n",
        "    } else {\n",
        "        guides.animate({opacity: 1.0}, 250);\n",
        "        geoms.animate({opacity: 1.0}, 250);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.colorkey_swatch_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var color_class = this.data(\"color_class\");\n",
        "\n",
        "    if (event.shiftKey) {\n",
        "        root.selectAll(\".colorkey text\")\n",
        "            .forEach(function (element) {\n",
        "                var other_color_class = element.data(\"color_class\");\n",
        "                if (other_color_class != color_class) {\n",
        "                    toggle_color_class(root, other_color_class,\n",
        "                                       element.attr(\"opacity\") == 1.0);\n",
        "                }\n",
        "            });\n",
        "    } else {\n",
        "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "return Gadfly;\n",
        "\n",
        "}));\n",
        "\n",
        "\n",
        "//@ sourceURL=gadfly.js\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
        "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
        "            factory(Snap, Gadfly);\n",
        "        });\n",
        "      } else {\n",
        "          factory(glob.Snap, glob.Gadfly);\n",
        "      }\n",
        "})(window, function (Snap, Gadfly) {\n",
        "    var fig = Snap(\"#fig-3f3d393ef4554fedbe1902fe72878c5c\");\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-4\")\n",
        "   .mouseenter(Gadfly.plot_mouseover)\n",
        ".mouseleave(Gadfly.plot_mouseout)\n",
        ".mousewheel(Gadfly.guide_background_scroll)\n",
        ".drag(Gadfly.guide_background_drag_onmove,\n",
        "      Gadfly.guide_background_drag_onstart,\n",
        "      Gadfly.guide_background_drag_onend)\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-7\")\n",
        "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-7\")\n",
        "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-8\")\n",
        "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-8\")\n",
        "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-13\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-13\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-13\")\n",
        "   .click(Gadfly.zoomslider_zoomin_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-15\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-15\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-15\")\n",
        "   .click(Gadfly.zoomslider_track_click);\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-16\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-16\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-16\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-16\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-16\")\n",
        "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
        "     Gadfly.zoomslider_thumb_dragstart,\n",
        "     Gadfly.zoomslider_thumb_dragend)\n",
        ".mousedown(Gadfly.zoomslider_thumb_mousedown)\n",
        ".mouseup(Gadfly.zoomslider_thumb_mouseup)\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-17\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-17\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-3f3d393ef4554fedbe1902fe72878c5c-element-17\")\n",
        "   .click(Gadfly.zoomslider_zoomout_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "    });\n",
        "]]> </script>\n",
        "</svg>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    }
   ],
   "metadata": {}
  }
 ]
}