fitting.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pylab as pl\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import holoviews as hv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script src=\"https://code.jquery.com/ui/1.10.4/jquery-ui.min.js\" type=\"text/javascript\"></script>\n",
       "<script type=\"text/javascript\">function HoloViewsWidget(){\n",
       "}\n",
       "\n",
       "HoloViewsWidget.comms = {};\n",
       "HoloViewsWidget.comm_state = {};\n",
       "\n",
       "HoloViewsWidget.prototype.init_slider = function(init_val){\n",
       "\tif(this.load_json) {\n",
       "\t\tthis.from_json()\n",
       "\t} else {\n",
       "\t\tthis.update_cache();\n",
       "\t}\n",
       "}\n",
       "\n",
       "HoloViewsWidget.prototype.populate_cache = function(idx){\n",
       "    this.cache[idx].html(this.frames[idx]);\n",
       "    if (this.embed) {\n",
       "        delete this.frames[idx];\n",
       "    }\n",
       "}\n",
       "\n",
       "HoloViewsWidget.prototype.process_error = function(msg){\n",
       "\n",
       "}\n",
       "\n",
       "HoloViewsWidget.prototype.from_json = function() {\n",
       "\tvar data_url = this.json_path + this.id + '.json';\n",
       "\t$.getJSON(data_url, $.proxy(function(json_data) {\n",
       "\t\tthis.frames = json_data;\n",
       "\t\tthis.update_cache();\n",
       "\t\tthis.update(0);\n",
       "\t}, this));\n",
       "}\n",
       "\n",
       "HoloViewsWidget.prototype.dynamic_update = function(current){\n",
       "\tif (current === undefined) {\n",
       "\t\treturn\n",
       "\t}\n",
       "\tif(this.dynamic) {\n",
       "\t\tcurrent = JSON.stringify(current);\n",
       "\t}\n",
       "\tfunction callback(initialized, msg){\n",
       "\t\t/* This callback receives data from Python as a string\n",
       "\t\t   in order to parse it correctly quotes are sliced off*/\n",
       "\t\tif (msg.content.ename != undefined) {\n",
       "\t\t\tthis.process_error(msg);\n",
       "\t\t}\n",
       "\t\tif (msg.msg_type != \"execute_result\") {\n",
       "\t\t\tconsole.log(\"Warning: HoloViews callback returned unexpected data for key: (\", current, \") with the following content:\", msg.content)\n",
       "\t\t\tthis.time = undefined;\n",
       "\t\t\tthis.wait = false;\n",
       "\t\t\treturn\n",
       "\t\t}\n",
       "\t\tthis.timed = (Date.now() - this.time) * 1.1;\n",
       "\t\tif (msg.msg_type == \"execute_result\") {\n",
       "\t\t\tif (msg.content.data['text/plain'].includes('Complete')) {\n",
       "\t\t\t\tthis.wait = false;\n",
       "\t\t\t\tif (this.queue.length > 0) {\n",
       "\t\t\t\t\tthis.time = Date.now();\n",
       "\t\t\t\t\tthis.dynamic_update(this.queue[this.queue.length-1]);\n",
       "\t\t\t\t\tthis.queue = [];\n",
       "\t\t\t\t}\n",
       "\t\t\t\treturn\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\tthis.current = current;\n",
       "\tif ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null)) {\n",
       "\t\tvar kernel = Jupyter.notebook.kernel;\n",
       "\t\tcallbacks = {iopub: {output: $.proxy(callback, this, this.initialized)}};\n",
       "\t\tvar cmd = \"holoviews.plotting.widgets.NdWidget.widgets['\" + this.id + \"'].update(\" + current + \")\";\n",
       "\t\tkernel.execute(\"import holoviews;\" + cmd, callbacks, {silent : false});\n",
       "\t}\n",
       "}\n",
       "\n",
       "HoloViewsWidget.prototype.update_cache = function(force){\n",
       "    var frame_len = Object.keys(this.frames).length;\n",
       "    for (var i=0; i<frame_len; i++) {\n",
       "        if(!this.load_json || this.dynamic)  {\n",
       "            frame = Object.keys(this.frames)[i];\n",
       "        } else {\n",
       "            frame = i;\n",
       "        }\n",
       "        if(!(frame in this.cache) || force) {\n",
       "\t\t\tif ((frame in this.cache) && force) { this.cache[frame].remove() }\n",
       "\t\t\tthis.cache[frame] = $('<div />').appendTo(\"#\"+\"_anim_img\"+this.id).hide();\n",
       "\t\t\tvar cache_id = \"_anim_img\"+this.id+\"_\"+frame;\n",
       "\t\t\tthis.cache[frame].attr(\"id\", cache_id);\n",
       "\t\t\tthis.populate_cache(frame);\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "HoloViewsWidget.prototype.update = function(current){\n",
       "    if(current in this.cache) {\n",
       "        $.each(this.cache, function(index, value) {\n",
       "            value.hide();\n",
       "        });\n",
       "        this.cache[current].show();\n",
       "\t\tthis.wait = false;\n",
       "    }\n",
       "}\n",
       "\n",
       "HoloViewsWidget.prototype.init_comms = function() {\n",
       "\tif ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel !== undefined)) {\n",
       "\t\tvar widget = this;\n",
       "\t\tcomm_manager = Jupyter.notebook.kernel.comm_manager;\n",
       "        comm_manager.register_target(this.id, function (comm) {\n",
       "\t\t\tcomm.on_msg(function (msg) { widget.process_msg(msg) });\n",
       "\t\t});\n",
       "\t}\n",
       "}\n",
       "\n",
       "HoloViewsWidget.prototype.process_msg = function(msg) {\n",
       "}\n",
       "\n",
       "function SelectionWidget(frames, id, slider_ids, keyMap, dim_vals, notFound, load_json, mode, cached, json_path, dynamic){\n",
       "    this.frames = frames;\n",
       "    this.id = id;\n",
       "    this.slider_ids = slider_ids;\n",
       "    this.keyMap = keyMap\n",
       "    this.current_frame = 0;\n",
       "    this.current_vals = dim_vals;\n",
       "    this.load_json = load_json;\n",
       "    this.mode = mode;\n",
       "    this.notFound = notFound;\n",
       "    this.cached = cached;\n",
       "    this.dynamic = dynamic;\n",
       "    this.cache = {};\n",
       "\tthis.json_path = json_path;\n",
       "    this.init_slider(this.current_vals[0]);\n",
       "\tthis.queue = [];\n",
       "\tthis.wait = false;\n",
       "\tif (!this.cached || this.dynamic) {\n",
       "\t\tthis.init_comms()\n",
       "\t}\n",
       "}\n",
       "\n",
       "SelectionWidget.prototype = new HoloViewsWidget;\n",
       "\n",
       "\n",
       "SelectionWidget.prototype.get_key = function(current_vals) {\n",
       "\tvar key = \"(\";\n",
       "    for (var i=0; i<this.slider_ids.length; i++)\n",
       "    {\n",
       "        val = this.current_vals[i];\n",
       "        if (!(typeof val === 'string')) {\n",
       "            if (val % 1 === 0) { val = val.toFixed(1); }\n",
       "            else { val = val.toFixed(10); val = val.slice(0, val.length-1);}\n",
       "        }\n",
       "        key += \"'\" + val + \"'\";\n",
       "        if(i != this.slider_ids.length-1) { key += ', ';}\n",
       "        else if(this.slider_ids.length == 1) { key += ',';}\n",
       "    }\n",
       "    key += \")\";\n",
       "\treturn this.keyMap[key];\n",
       "}\n",
       "\n",
       "SelectionWidget.prototype.set_frame = function(dim_val, dim_idx){\n",
       "\tthis.current_vals[dim_idx] = dim_val;\n",
       "    var current = this.get_key(this.current_vals);\n",
       "    if(current === undefined && !this.dynamic) {\n",
       "        return\n",
       "    }\n",
       "\tif (this.dynamic || !this.cached) {\n",
       "\t\tif (this.time === undefined) {\n",
       "\t\t\t// Do nothing the first time\n",
       "\t\t} else if ((this.timed === undefined) || ((this.time + this.timed) > Date.now())) {\n",
       "\t\t\tvar key = this.current_vals;\n",
       "\t\t\tif (!this.dynamic) {\n",
       "\t\t\t\tkey = this.get_key(key);\n",
       "\t\t\t}\n",
       "\t\t\tthis.queue.push(key);\n",
       "\t\t\treturn\n",
       "\t\t}\n",
       "\t}\n",
       "\tthis.queue = [];\n",
       "\tthis.time = Date.now();\n",
       "\tthis.current_frame = current;\n",
       "    if(this.dynamic) {\n",
       "        this.dynamic_update(this.current_vals)\n",
       "    } else if(this.cached) {\n",
       "        this.update(current)\n",
       "    } else {\n",
       "        this.dynamic_update(current)\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "/* Define the ScrubberWidget class */\n",
       "function ScrubberWidget(frames, num_frames, id, interval, load_json, mode, cached, json_path, dynamic){\n",
       "    this.slider_id = \"_anim_slider\" + id;\n",
       "    this.loop_select_id = \"_anim_loop_select\" + id;\n",
       "    this.id = id;\n",
       "    this.interval = interval;\n",
       "    this.current_frame = 0;\n",
       "    this.direction = 0;\n",
       "    this.dynamic = dynamic;\n",
       "    this.timer = null;\n",
       "    this.load_json = load_json;\n",
       "    this.mode = mode;\n",
       "    this.cached = cached;\n",
       "    this.frames = frames;\n",
       "    this.cache = {};\n",
       "    this.length = num_frames;\n",
       "\tthis.json_path = json_path;\n",
       "    document.getElementById(this.slider_id).max = this.length - 1;\n",
       "    this.init_slider(0);\n",
       "\tthis.wait = false;\n",
       "\tthis.queue = [];\n",
       "\tif (!this.cached || this.dynamic) {\n",
       "\t\tthis.init_comms()\n",
       "\t}\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype = new HoloViewsWidget;\n",
       "\n",
       "ScrubberWidget.prototype.set_frame = function(frame){\n",
       "\tthis.current_frame = frame;\n",
       "\twidget = document.getElementById(this.slider_id);\n",
       "    if (widget === null) {\n",
       "        this.pause_animation();\n",
       "        return\n",
       "    }\n",
       "    widget.value = this.current_frame;\n",
       "    if(this.cached) {\n",
       "        this.update(frame)\n",
       "    } else {\n",
       "        this.dynamic_update(frame)\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "ScrubberWidget.prototype.process_error = function(msg){\n",
       "\tif (msg.content.ename === 'StopIteration') {\n",
       "\t\tthis.pause_animation();\n",
       "\t\tthis.stopped = true;\n",
       "\t\tvar keys = Object.keys(this.frames)\n",
       "\t\tthis.length = keys.length;\n",
       "\t\tdocument.getElementById(this.slider_id).max = this.length-1;\n",
       "\t\tdocument.getElementById(this.slider_id).value = this.length-1;\n",
       "\t\tthis.current_frame = this.length-1;\n",
       "\t}\n",
       "}\n",
       "\n",
       "\n",
       "ScrubberWidget.prototype.get_loop_state = function(){\n",
       "    var button_group = document[this.loop_select_id].state;\n",
       "    for (var i = 0; i < button_group.length; i++) {\n",
       "        var button = button_group[i];\n",
       "        if (button.checked) {\n",
       "            return button.value;\n",
       "        }\n",
       "    }\n",
       "    return undefined;\n",
       "}\n",
       "\n",
       "\n",
       "ScrubberWidget.prototype.next_frame = function() {\n",
       "\tif (this.dynamic || !this.cached) {\n",
       "\t\tif (this.wait) {\n",
       "\t\t\treturn\n",
       "\t\t}\n",
       "\t\tthis.wait = true;\n",
       "\t}\n",
       "\tif (this.dynamic && this.current_frame + 1 >= this.length) {\n",
       "\t\tthis.length += 1;\n",
       "        document.getElementById(this.slider_id).max = this.length-1;\n",
       "\t}\n",
       "    this.set_frame(Math.min(this.length - 1, this.current_frame + 1));\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.previous_frame = function() {\n",
       "    this.set_frame(Math.max(0, this.current_frame - 1));\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.first_frame = function() {\n",
       "    this.set_frame(0);\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.last_frame = function() {\n",
       "    this.set_frame(this.length - 1);\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.slower = function() {\n",
       "    this.interval /= 0.7;\n",
       "    if(this.direction > 0){this.play_animation();}\n",
       "    else if(this.direction < 0){this.reverse_animation();}\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.faster = function() {\n",
       "    this.interval *= 0.7;\n",
       "    if(this.direction > 0){this.play_animation();}\n",
       "    else if(this.direction < 0){this.reverse_animation();}\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.anim_step_forward = function() {\n",
       "    if(this.current_frame < this.length || (this.dynamic && !this.stopped)){\n",
       "        this.next_frame();\n",
       "    }else{\n",
       "        var loop_state = this.get_loop_state();\n",
       "        if(loop_state == \"loop\"){\n",
       "            this.first_frame();\n",
       "        }else if(loop_state == \"reflect\"){\n",
       "            this.last_frame();\n",
       "            this.reverse_animation();\n",
       "        }else{\n",
       "            this.pause_animation();\n",
       "            this.last_frame();\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.anim_step_reverse = function() {\n",
       "    this.current_frame -= 1;\n",
       "    if(this.current_frame >= 0){\n",
       "        this.set_frame(this.current_frame);\n",
       "    } else {\n",
       "        var loop_state = this.get_loop_state();\n",
       "        if(loop_state == \"loop\"){\n",
       "            this.last_frame();\n",
       "        }else if(loop_state == \"reflect\"){\n",
       "            this.first_frame();\n",
       "            this.play_animation();\n",
       "        }else{\n",
       "            this.pause_animation();\n",
       "            this.first_frame();\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.pause_animation = function() {\n",
       "    this.direction = 0;\n",
       "    if (this.timer){\n",
       "        clearInterval(this.timer);\n",
       "        this.timer = null;\n",
       "    }\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.play_animation = function() {\n",
       "    this.pause_animation();\n",
       "    this.direction = 1;\n",
       "    var t = this;\n",
       "    if (!this.timer) this.timer = setInterval(function(){t.anim_step_forward();}, this.interval);\n",
       "}\n",
       "\n",
       "ScrubberWidget.prototype.reverse_animation = function() {\n",
       "    this.pause_animation();\n",
       "    this.direction = -1;\n",
       "    var t = this;\n",
       "    if (!this.timer) this.timer = setInterval(function(){t.anim_step_reverse();}, this.interval);\n",
       "}\n",
       "\n",
       "function extend(destination, source) {\n",
       "    for (var k in source) {\n",
       "        if (source.hasOwnProperty(k)) {\n",
       "            destination[k] = source[k];\n",
       "        }\n",
       "    }\n",
       "    return destination;\n",
       "}\n",
       "\n",
       "function update_widget(widget, values) {\n",
       "\tif (widget.hasClass(\"ui-slider\")) {\n",
       "\t\twidget.slider('option',\n",
       "\t\t\t\t\t  {'min': 0, 'max': values.length-1,\n",
       "\t\t\t\t\t   'dim_vals': values, 'value': 0,\n",
       "\t\t\t\t\t   'dim_labels': values})\n",
       "\t\twidget.slider('option', 'slide').call(widget, event, {'value': 0})\n",
       "\t} else {\n",
       "\t\twidget.empty();\n",
       "\t\tfor (var i=0; i<values.length; i++){\n",
       "\t\t\twidget.append($(\"<option>\", {\n",
       "\t\t\t\tvalue: i,\n",
       "\t\t\t\ttext: values[i]\n",
       "\t\t\t}))};\n",
       "\t\twidget.data('values', values);\n",
       "\t\twidget.data('value', 0);\n",
       "\t\twidget.trigger(\"change\");\n",
       "\t};\n",
       "}\n",
       "\n",
       "// Define MPL specific subclasses\n",
       "function MPLSelectionWidget() {\n",
       "    SelectionWidget.apply(this, arguments);\n",
       "}\n",
       "\n",
       "function MPLScrubberWidget() {\n",
       "    ScrubberWidget.apply(this, arguments);\n",
       "}\n",
       "\n",
       "// Let them inherit from the baseclasses\n",
       "MPLSelectionWidget.prototype = Object.create(SelectionWidget.prototype);\n",
       "MPLScrubberWidget.prototype = Object.create(ScrubberWidget.prototype);\n",
       "\n",
       "// Define methods to override on widgets\n",
       "var MPLMethods = {\n",
       "    init_slider : function(init_val){\n",
       "        if(this.load_json) {\n",
       "            this.from_json()\n",
       "        } else {\n",
       "            this.update_cache();\n",
       "        }\n",
       "        this.update(0);\n",
       "        if(this.mode == 'nbagg') {\n",
       "            this.set_frame(init_val, 0);\n",
       "        }\n",
       "    },\n",
       "    populate_cache : function(idx){\n",
       "        var cache_id = \"_anim_img\"+this.id+\"_\"+idx;\n",
       "        this.cache[idx].html(this.frames[idx]);\n",
       "        if (this.embed) {\n",
       "            delete this.frames[idx];\n",
       "        }\n",
       "    },\n",
       "    process_msg : function(msg) {\n",
       "        if (!(this.mode == 'nbagg')) {\n",
       "            var data = msg.content.data;\n",
       "            this.frames[this.current] = data;\n",
       "            this.update_cache(true);\n",
       "            this.update(this.current);\n",
       "        }\n",
       "    }\n",
       "}\n",
       "// Extend MPL widgets with backend specific methods\n",
       "extend(MPLSelectionWidget.prototype, MPLMethods);\n",
       "extend(MPLScrubberWidget.prototype, MPLMethods);\n",
       "</script>\n",
       "\n",
       "\n",
       "<link rel=\"stylesheet\" href=\"https://code.jquery.com/ui/1.10.4/themes/smoothness/jquery-ui.css\">\n",
       "<style>div.hololayout {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "    margin: 0;\n",
       "}\n",
       "\n",
       "div.holoframe {\n",
       "\twidth: 75%;\n",
       "}\n",
       "\n",
       "div.holowell {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "    margin: 0;\n",
       "}\n",
       "\n",
       "form.holoform {\n",
       "    background-color: #fafafa;\n",
       "    border-radius: 5px;\n",
       "    overflow: hidden;\n",
       "\tpadding-left: 0.8em;\n",
       "    padding-right: 0.8em;\n",
       "    padding-top: 0.4em;\n",
       "    padding-bottom: 0.4em;\n",
       "}\n",
       "\n",
       "div.holowidgets {\n",
       "    padding-right: 0;\n",
       "\twidth: 25%;\n",
       "}\n",
       "\n",
       "div.holoslider {\n",
       "    min-height: 0 !important;\n",
       "    height: 0.8em;\n",
       "    width: 60%;\n",
       "}\n",
       "\n",
       "div.holoformgroup {\n",
       "    padding-top: 0.5em;\n",
       "    margin-bottom: 0.5em;\n",
       "}\n",
       "\n",
       "div.hologroup {\n",
       "    padding-left: 0;\n",
       "    padding-right: 0.8em;\n",
       "    width: 50%;\n",
       "}\n",
       "\n",
       ".holoselect {\n",
       "    width: 92%;\n",
       "    margin-left: 0;\n",
       "    margin-right: 0;\n",
       "}\n",
       "\n",
       ".holotext {\n",
       "    width: 100%;\n",
       "    padding-left:  0.5em;\n",
       "    padding-right: 0;\n",
       "}\n",
       "\n",
       ".holowidgets .ui-resizable-se {\n",
       "\tvisibility: hidden\n",
       "}\n",
       "\n",
       ".holoframe > .ui-resizable-se {\n",
       "\tvisibility: hidden\n",
       "}\n",
       "\n",
       ".holowidgets .ui-resizable-s {\n",
       "\tvisibility: hidden\n",
       "}\n",
       "</style>\n",
       "\n",
       "\n",
       "<div>\n",
       "  <div>\n",
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       "       style='height:15px; border-radius:12px; display: inline-block; float: left; vertical-align: middle'/>\n",
       "  \n",
       "</div>\n",
       "\n",
       "\n",
       "</div>\n",
       "\n",
       "\n",
       "</div>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hv.notebook_extension()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"dtarray.csv\")\n",
    "table = hv.Table(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      \n",
       "      \n",
       "      \n",
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       "        <label for=\"textInputa3b264d8509346eb85ead3f788ddb176_h2\">\n",
       "          <strong>h2:</strong>\n",
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       "          <div class=\"hologroup\">\n",
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       "        </div>\n",
       "      </div>\n",
       "\t  <script>\n",
       "\t    function init_slider() {\n",
       "        // Slider JS Block START\n",
       "        function loadcssfile(filename){\n",
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       "            fileref.setAttribute(\"rel\", \"stylesheet\")\n",
       "            fileref.setAttribute(\"type\", \"text/css\")\n",
       "            fileref.setAttribute(\"href\", filename)\n",
       "            document.getElementsByTagName(\"head\")[0].appendChild(fileref)\n",
       "        }\n",
       "        loadcssfile(\"https://code.jquery.com/ui/1.10.4/themes/smoothness/jquery-ui.css\");\n",
       "        /* Check if jQuery and jQueryUI have been loaded\n",
       "           otherwise load with require.js */\n",
       "        var jQuery = window.jQuery,\n",
       "            // check for old versions of jQuery\n",
       "            oldjQuery = jQuery && !!jQuery.fn.jquery.match(/^1\\.[0-4](\\.|$)/),\n",
       "            jquery_path = '',\n",
       "            paths = {},\n",
       "            noConflict;\n",
       "        var jQueryUI = jQuery.ui;\n",
       "        // check for jQuery\n",
       "        if (!jQuery || oldjQuery) {\n",
       "            // load if it's not available or doesn't meet min standards\n",
       "            paths.jQuery = jQuery;\n",
       "            noConflict = !!oldjQuery;\n",
       "        } else {\n",
       "            // register the current jQuery\n",
       "            define('jquery', [], function() { return jQuery; });\n",
       "        }\n",
       "        if (!jQueryUI) {\n",
       "            paths.jQueryUI = \"https://code.jquery.com/ui/1.10.4/jquery-ui.min\"\n",
       "        } else {\n",
       "            define('jQueryUI', [], function() { return jQuery.ui; });\n",
       "        }\n",
       "        paths.underscore = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min\";\n",
       "        var jquery_require = {\n",
       "            paths: paths,\n",
       "            shim: {\n",
       "                \"jQueryUI\": {\n",
       "                    exports:\"$\",\n",
       "                    deps: ['jquery']\n",
       "                },\n",
       "                \"underscore\": {\n",
       "                    exports: '_'\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        require.config(jquery_require);\n",
       "        require([\"jQueryUI\", \"underscore\"], function(jUI, _){\n",
       "            if (noConflict) $.noConflict(true);\n",
       "            var vals = ['0.0', '50.0', '100.0', '150.0', '200.0', '250.0', '300.0', '350.0', '400.0'];\n",
       "            var next_vals = {};\n",
       "            if (false && vals.constructor === Array) {\n",
       "                var min = parseFloat(vals[0]);\n",
       "                var max = parseFloat(vals[vals.length-1]);\n",
       "                var step = 1;\n",
       "                var labels = [min];\n",
       "            } else {\n",
       "                var min = 0;\n",
       "                if (false) {\n",
       "                    var max = Object.keys(vals).length - 1;\n",
       "                } else {\n",
       "                    var max = vals.length - 1;\n",
       "                }\n",
       "                var step = 1;\n",
       "\t\t\t\tvar labels = ['0', '50', '100', '150', '200', '250', '300', '350', '400'];\n",
       "            }\n",
       "\t\t\tfunction adjustFontSize(text) {\n",
       "\t\t\t\tvar width_ratio = (text.parent().width()/8)/text.val().length;\n",
       "\t\t\t\tvar size = Math.min(0.9, Math.max(0.6, width_ratio))+'em';\n",
       "\t\t\t\ttext.css('font-size', size);\n",
       "\t\t\t}\n",
       "            var slider = $('#_anim_widgeta3b264d8509346eb85ead3f788ddb176_h2');\n",
       "\t\t\tslider.slider({\n",
       "                animate: \"fast\",\n",
       "                min: min,\n",
       "                max: max,\n",
       "                step: step,\n",
       "                value: min,\n",
       "                dim_vals: vals,\n",
       "                dim_labels: labels,\n",
       "                next_vals: next_vals,\n",
       "                slide: function(event, ui) {\n",
       "                    var vals = slider.slider(\"option\", \"dim_vals\");\n",
       "                    var next_vals = slider.slider(\"option\", \"next_vals\");\n",
       "                    var labels = slider.slider(\"option\", \"dim_labels\");\n",
       "                    if (false) {\n",
       "\t\t\t\t\t    var dim_val = ui.value;\n",
       "\t\t\t\t\t    if (vals.constructor === Array) {\n",
       "\t\t\t\t\t\t   var label = ui.value;\n",
       "\t\t\t\t\t\t} else {\n",
       "\t\t\t\t\t\t   var label = labels[ui.value];\n",
       "\t\t\t\t\t\t}\n",
       "                    } else {\n",
       "                        var dim_val = vals[ui.value];\n",
       "\t\t\t\t\t\tvar label = labels[ui.value];\n",
       "                    }\n",
       "\t\t\t\t\tvar text = $('#textInputa3b264d8509346eb85ead3f788ddb176_h2');\n",
       "\t\t\t\t\ttext.val(label);\n",
       "\t\t\t\t\tadjustFontSize(text);\n",
       "                    anima3b264d8509346eb85ead3f788ddb176.set_frame(dim_val, 0);\n",
       "                    if (Object.keys(next_vals).length > 0) {\n",
       "                        var new_vals = next_vals[dim_val];\n",
       "                        var next_widget = $('#_anim_widgeta3b264d8509346eb85ead3f788ddb176_');\n",
       "                        update_widget(next_widget, new_vals);\n",
       "                    }\n",
       "                }\n",
       "            });\n",
       "            slider.keypress(function(event) {\n",
       "                if (event.which == 80 || event.which == 112) {\n",
       "                    var start = slider.slider(\"option\", \"value\");\n",
       "                    var stop =  slider.slider(\"option\", \"max\");\n",
       "                    for (var i=start; i<=stop; i++) {\n",
       "                        var delay = i*50;\n",
       "                        $.proxy(function doSetTimeout(i) { setTimeout($.proxy(function() {\n",
       "                            var val = {value:i};\n",
       "                            slider.slider('value',i);\n",
       "                            slider.slider(\"option\", \"slide\")(null, val);\n",
       "                        }, slider), delay);}, slider)(i);\n",
       "                    }\n",
       "                }\n",
       "                if (event.which == 82 || event.which == 114) {\n",
       "                    var start = slider.slider(\"option\", \"value\");\n",
       "                    var stop =  slider.slider(\"option\", \"min\");\n",
       "                    var count = 0;\n",
       "                    for (var i=start; i>=stop; i--) {\n",
       "                        var delay = count*50;\n",
       "                        count = count + 1;\n",
       "                        $.proxy(function doSetTimeout(i) { setTimeout($.proxy(function() {\n",
       "                            var val = {value:i};\n",
       "                            slider.slider('value',i);\n",
       "                            slider.slider(\"option\", \"slide\")(null, val);\n",
       "                        }, slider), delay);}, slider)(i);\n",
       "                    }\n",
       "                }\n",
       "            });\n",
       "\t\t\tvar textInput = $('#textInputa3b264d8509346eb85ead3f788ddb176_h2')\n",
       "\t\t\ttextInput.val(labels[0]);\n",
       "\t\t\tadjustFontSize(textInput);\n",
       "        });\n",
       "\t\t}\n",
       "        $(document).ready(init_slider)\n",
       "        // Slider JS Block END\n",
       "        </script>\n",
       "        \n",
       "        \n",
       "        </form>\n",
       "    </div>\n",
       "</div>\n",
       "\n",
       "\n",
       "<script language=\"javascript\">\n",
       "/* Instantiate the MPLSelectionWidget class. */\n",
       "/* The IDs given should match those used in the template above. */\n",
       "(function() {\n",
       "\tif (jQuery.ui !== undefined) {\n",
       "\t\t$(\"#display_areaa3b264d8509346eb85ead3f788ddb176\").resizable({\n",
       "\t\t\tresize: function(event, ui) {\n",
       "\t\t\t\t$(\"#widget_areaa3b264d8509346eb85ead3f788ddb176\").width($(this).parent().width()-ui.size.width);\n",
       "\t\t\t}\n",
       "\t\t});\n",
       "\t\t$(\"#widget_areaa3b264d8509346eb85ead3f788ddb176\").resizable();\n",
       "\t}\n",
       "    var widget_ids = new Array(1);\n",
       "    \n",
       "    widget_ids[0] = \"_anim_widgeta3b264d8509346eb85ead3f788ddb176_h2\";\n",
       "    \n",
       "    var frame_data = {\"0\": \"<img 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' 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' 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' 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' 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' 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' 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UYWL17MnDlzGDFiBDk5OYwYMYI5c+ZYXfbtSV7cfkEQ9130MPs8emM4cBzPrc5oDK40Hd9CxQ+zUEbz7FedVsfUy2cSE5JMTcMJ5i17nIrq0o5urhDdns1DA8zPohsaGmhtbaW+vp7AwEBWrFjB1KlTAZg6dSrLly8/o7Kn9fVi+sBQ7r74EXJdgzBk5eOZ4YnW4E5T8fdUbP0HytgIgEFv4LarH6Z3QCyVtWXM+/RxquuqOqydQvQENg+NoKAgZs6cSWhoKAEBAbi7uzNy5EiKi4sJCAgAwN/fn+Li4jM+x00Jntw6uA93XfwohU4+GDIP4LnTF62dB00lP1D+/YOYWs3BYW9w4K9jHiXIpzelVcd4c/kT1DfWdkhbhegJbB4alZWVrFixgtzcXI4dO0ZdXR0ffPBBm89oNJo2E35+a/78+aSlpZGWlkZp6akvJ26M9+TmS2KZMeQxSh080f+0G8/sELT2XjSXZlDx/QOYWhsAcLJ3YcY1j+PrGcSxsjzeWvE0Tc0NHddo0eO0NzX+VFPbAWbPnk1kZCQxMTGsXt29RiXbPDTWrVtH79698fHxwWAwMG7cOL777jv8/PwoKioCoKioCF9f33aPnz59OhkZGWRkZODj43Pac02K9eCm4YncNeRRquxc0G/5Ca+DEWjtvWku207Fd/djaq0HwNXJg7vGPoGXqw95x/fz9ufP0dLa3LGNFz1Ge1PjTzW1PTs7m8WLF5OVlcWqVauYMWMGRmP3WefF5qERGhrK1q1bLUNr169fT1xcHKNHj2bBggUALFiwgDFjxnTI+SbGeHBDeir3XvT/qNU7otuwGa8jfdE6+NBcnknFlr9jajGvKerp6sNd457CzcmTAwW7ee/LFzEaW//gDOJ8dKqp8XDy1PYVK1Zw/fXXY29vT+/evYmMjOTHH7vPiGSbh8bAgQOZMGEC/fv3JzExEZPJxPTp05k1axZr164lKiqKdevWMWvWrA475/hod669cjAPDP4HjVoDulWr8Sq9AK2jH80Vuyj/7m+YWsz3MXw8Apgx9nGc7F3Yk/sTH6x9TRbxEVb5/dT2wsJCQkJ+fZlXcHAwhYXd5xF/l5iw9uSTT/Lkk0+22WZvb8/69es77ZzXRLqjHTOMf7Q28vL3L6JftgyvG26k0u1bWir2UL7lPrwHv4rWzpXAXuHcec0/eWPZP9m2fxMOBkcmDr/jlPdZhO0c+/TCTik3cOz3Z3zs76e2d3c272nY0ugIN66YcAX/HHAPRjToPvwAz6aR6JwCaKnMpnzLvZiaTwAQ5h/N9NGPYNDZsWXPaj7bskBW/xJ/qL2p7UFBQW0W3SkoKCAoKMgW1TsjXaKnYUtX9nFDd/04Zrc28ui2t9C9Nx+vGX+nwvkzWqr2Uf7tvXhf9Bpae3eighOZduVDvL1yNuu3LcfBzplRA661dRPEb5xNj6AztDe1ffTo0dxwww3cf//9HDt2jJycHAYMGGDDWlrnvO5p/OLy3q4MvukGXkk2Dybj33PxcrgenXMwLScOUPbt3RibzMPYE3qncdOov6NBwxff/4/PtyyiuVXeqXK+O9XU+PamtickJDBx4kTi4+O5/PLLmTdv3mlX7upqetzU+LOZBrwuv4aD/3md27M/wajVo/nHE1RUL8RYewS9Wx+8L34dnb35Dvl3e9ayeP08ALzcfBk39FYS+wyQ+xw2IFPjT02mxneyy8JcibnjHj6MvgqdqRXji0/j5ftX9K7htFYfpnzz3RgbzS+VHtw3nfsmPEtgr3Aqqkv478rZvLXiaZnoJno8CY3fGRbqStg9D7Gi9wgMrU20PPsYHkH3oHftQ2tNLuWb78LYaH7pTURQAg9OepkJl96Oo50Te/O3M/uD+/hsyyIZQSp6LAmNdgwNccXn/n+yLmQw9s31ND31MJ69Z6J3i6C1Np+yzXdhbDCv/6jT6hiafCWPTn2TQQmXYTS1si5jKc8supvtB76VJyyix5HQOIUhIW64PfgsWwL649RQTd3jM/GMehi9exTG2iOUbZ6Bsf7XSXSuTh7ccNnd3H/dC4T6RnKitpz3v3qJ15c9xrGyfBu2RIiOJaFxGheGemA/6yW2+yTgWlvBicdm4hn7TwweMRjrCinbPIPWumNtjgn3j+b+657n+hEzcHZw5WDBHl748O8s2/QuDU11NmqJEB1HQuMPDAzzRPvIK2R7ReB54jhlj92PR8KTGDziMNYfo3T9ZGr2L7SsAgag1eoY3Hckj059k4uTrkABG3d8xjML7+LHvV/LMHTRrUlo/Amp4T4YH3mDQ+4h+JYfpejRmbgnP4ND4DCUsZGa7H9Tsv5GGovbDixydnBl4rC/MvP6l+gdEEtNfRUfrJnL3E/+H0dLDtuoNaIztDc1fufOnVx44YUkJiZy9dVXU11dDcDatWtJTU0lMTGR1NRUNmzY0G6ZXfWt8TJOwwq7DxzF7anbCa4tJi8ogdCX5mOq2cOJnf+itdZ838IhYChuifehdw5sc6xSip/2bWTFtwuoqa9Cg4aLEkdx5eDJODu4dlqdzwddYZzGpk2bcHFx4aabbmLPnj0AXHDBBbz00ktccsklvPvuu+Tm5vL000+zY8cO/Pz8CAwMZM+ePYwaNeoPJ6w98MADuLu7889//pO8vDyuuuoqy3lOR8Zp2FhidAh1j7xJiaM34YVZ5My6F617Mj4jFuHW9x40eicaizZRsm4S1Xv/a1lGEMwLCQ2IG8ajN81jWL/RaDQavt29imcWzGDL7tWYTN1nPQVxsvamxh84cIChQ81v7ktPT2fp0qUA9OvXj8BA8z8qCQkJNDQ00NR06lHF8tb4bi4+rg/VD79Bpb0bMfnbyL9rMtkbNuMUcT2+ly3GMeRyMDVTu+8dStbdQMOxb9o8dnW0d2bs0Gn8Y/KrRAUnUtdYw8cb/s3LHz8k71zpYRISElixYgUAn3zySbtvhl+6dCn9+/fH3t7+lOV0tbfGy+XJGTq4fSeuL95Pr4YKAA4ExKOdfDcxF19IU1kmJ3a+TGv1QQDs/Qbhnvh39K6hbcpQSrEjZwvLN79HVa15pOmg+BFcfdEUXJ08zkk7eoLf/tzvnXtNp5zjtfv+eGHr31827Nu3j3vvvZfy8nJGjx7Na6+9Rnl5ueXzWVlZjB49mjVr1hAREXHKcu+8804iIyN54IEHAGhqaqK2tvZPvTVeLk+6kMj+ybj99zO2Xz6dajsXoouyiXxpBnvuvZWCfIXPsPdwT7rf/LqE4q2UrJ9MddabluUEwXzJ0j/6Yh6Z8gbpaePRafVszV7PMwtm8E3mSoxyydKtxcbGsmbNGrZt28akSZPaBENBQQFjx45l4cKFpw2MrvjWeFQPkpqaapPzVldWqR9eeVmdGH+hah2TolrHpKgd99+p8vdkq9bGclW57VlVuGyQKlw2SBV9ebWqP7pWmUymk8oprihQb376pLrn1THqnlfHqNmL7lU5BXts0KLuxVY/99/Lzc1VCQkJlu+Li4uVUkoZjUY1ZcoU9c477yillKqsrFRJSUlq6dKlf1jmV199pYYOHdpmW0lJiWptbVVKKXXo0CEVGBioysvL2z2+M/5spKfRAVw93Bnwt/sxvfU52y6cSKPOjsRD3xPwyGR2PvEMda7X0euS/2LwiMPUWErlT49R/u3dtFQfalOOr2cQd4x5jNuv/n94u/lxrDyf1/7vERas+hcnaits1DrxZ7Q3Nf6jjz4iOjqa2NhYAgMDueWWWwB44403OHjwIE899ZTlsWlJiXlagrw1/hzrCo/eAMoKj5P77pskbv8SgzLSqtGyO2kUIdPuwMW0g5rsf5tXBNPocO5zLa5xt6I1uLQpo7m1ifUZn7IuYxktxmbsDQ5cPvA6Lkm5Cr3OYKOWdU1d5efeFXXGn42ERic6nptP4btvkrh7LToUTVoDWWlXETFlMtryZdTnLgdMaO29cOt7F44hl6PRtO38lZ8o5tPN77Lr0A+AuTcycdhfiQ5JskGLuqau9nPvSiQ0/kBX/eUp2JdD6XtvkLR/EwD1env2DhpH1LXDac2bT0vFbgAMXol4JD+AwSPmpDKy87az9Jv/UlplnusyIG4Y1wy5BRfHk++Yn2+66s+9K5DQ+ANd/ZcnN3M3Ne+/QUKe+R0XtQYn9g+9juiRITQe+i+mpgpAg1PvsbjFT0dr597m+FZjC+u3fcrqHz+h1diCs4MrY4dO44LYS8/rFcO6+s/dliQ0/kB3+eXJ2foTzYveILZwFwCV9m7kXXYtfdKaacxfBsqI1s4d1/g7cAq/Go2m7fqRJZWFfLzhLXIKzD2U6JAkrht+Jz4eAee8LV3BgAED2LJlCwaD3Ov5rZaWFi666KIOfxGThIYN7f16M9qP5hFZYh4JWubkRdFfRhMUeoCW8u0AGDxicU9+ADuvvm2OVUrx494NfLr5feobazDo7Bg1cCIj+l+DTnd+LTJ/0003cemllzJlyhQJjp+1tLSwaNEiNm7cyMKFCzu0bAkNGzOZTGStXovTJ28RXpEHwHEXX6rGDMXb5UdMjeZHcY6hV+LWd4ZlYeNf1NSfYPnm9/hp30YAArxDuX7EDHoHxJ7LZthUSUkJM2fOZN++fZhMsuwAgFarJTY2lpdeeumU70E+UxIaXYTRaGT3ZyvxWv42QSfMMx6PegfTclU0ztqfwNSCxuCCa9ztOPceh0bbtjexLz+TJV+/RdmJ4+YZtEmXc/XgG3G0d7ZFc0QPJqHRxbS2tLDr/5bhv/Id/OpKAcgLDUN3mRt2xhwADO7RuPebhZ1nXJtjm1ubWP3DEtZvX47JZMTd2YsJl95OUsSg8/pGqehYEhpdVEtjMzsXf0jo6oV4N1SigLzEMBzSmtGaKgEtzhETcI2bjtbQtjdxrCyPxev/Td5x872Svn0GcO2lt+Pp6nPuGyJ6HAmNLq6hro49ixYRueF/uDXXovSQd0koTsFlgAmdox/uyQ/gEDCkzXEmk5Etu1fz2Xfm1ynYGxy4avCNDEm6Aq22+7zNS3Q9EhrdRG3VCbLff5e4b5fg1NpItY8DJ0b2wk5vfgeLQ+Aw3JP+js6xbW+iqracpRvfZuehrQCE+kUxacQMgnx6n/M2iJ5BQqObKTlSQNGrz9D38A8oDRy5IAD7+Ho0qgmN3hm3hBk49b7mpOHouw79wCcb53OithytRsuw/qO5YuAk7AynXvxFiPZIaHRDJpOJ3V98RcCHL+PdUEmTi46iy4NxdDa/h8XglYhHv39gcGu7TkNjcwNffP8/NmV+gULh7ebHxOF3EBfWzxbNEN2UhEY3VlN1gn2vvUzK9pVoUByP8YILdWhVDWh0uETdiGvszWh0Dm2Oyz9+gMXr36SwLA+A1JihjBs6TVYLE3+KhEYPcGDrjxj+8yyhlUcwGSDvsnCcfY8DoHMOxqPfP7D3SWtzjNHYytc7PuOrHxbT0tqMk70LYy6eyqCEy+TxrDitLhEaVVVV3HbbbezZsweNRsO7775LTEwM1113HXl5eYSHh7NkyRI8PT1PW875GhpgfkS747/z6fv1QuyNLVQGOVM33B2D1rx4j2PoX3Drew86+7a9ibITx1my4S32HckEIDIogetGzMDPM+ict0F0D10iNKZOncqQIUO47bbbaG5upr6+nueeew4vLy9mzZrFnDlzqKys5Pnnnz9tOedzaPyiMOcQVXOfJrZgJ0oL+RcG4RBVjUa1oLVzxy3xvp/X7fi1N6GUYtv+TSzb9C61DSfQ6fSMvOBaLksdh0EvczlEWzYPjRMnTpCSksLhw4fb/CLHxMSwceNGAgICKCoq4tJLL2X//tMv8S+hYWYymcj8v6WEL30d96Ya6t0NlF4eiIOD+UapnU8aHikPoXcJaXNcXWMNKza/z9bs9QD4eQZz/Yg7iQhKOOdtEF2XzUMjMzOT6dOnEx8fz86dO0lNTWXu3LkEBQVRVVUFmP8l9PT0tHx/KhIabVWVlHNo7hxSstahgGOJPuhSjWhUPWjtcI2dhkvU5JPmseQU7Obj9f+m5OcFfwb3TWf0RVNxcnBp5yzifGO4qGYFAAAXyklEQVTz0MjIyGDQoEFs2bKFgQMHct999+Hm5sbrr7/eJiQ8PT2prKw86fj58+czf/58AEpLS8nPzz9nde8usr/ehOu7cwisKcJkD/mjwnHyNN8o1bv1wSNlFnbeiW2OaWltZu1PS1mbsRSjqRVXJw/GX3Ib/aIukhul5zmbh8bx48cZNGgQeXl5gPltUnPmzOHgwYNyedKBGuvq2fXWPJK//Ri9MlIW5krzpc7oqMKyWljCnSctcFxUfpSPN7zJ4WN7AUiJHMzE4XfIMoPnsTN6hcHrr7/e7r/6Z8Lf35+QkBBLIKxfv574+HhGjx7NggULAFiwYAFjxozpkPOdrxycnRjwwIMcf2ohB/1i6ZVfQ8AHx6k/4gNoqc9dRsm6STQUbmzzGskA7xDunfAs1w2/E3uDA5kHv2P2B/ey5/BPtmuMsKkz6mk8+uijLF68mP79+zNt2jRGjRp1Vl3WzMxMy5OTPn368N5772EymZg4cSJHjhwhLCyMJUuW/OG7HaSn8ecYjUZ2fPA/olb+B5eWemp62VM10hc7g3kqvoP/ENyTH0Dn5NfmuPITxXywZi6HjmUDcGFCOmOHTsPBzvGct0HYzhlfniilWLNmDe+99x4ZGRlMnDiRW2+99bSvmOtsEhrWKS0souDV50jK+RalgaP9/bBLbEKjGtHonXCN/yvOfca3WaPUZDKyMfNzPv/uA4zGVrzd/Jg88l4i5QnLeeOM37Cm0Wjw9/fH398fvV5PZWUlEyZM4KGHHurI+olO5BMUQL8XXyd7+hxKHXsRuq0YryUnqK/xR7XWU73rFcq+uZ2WEzmWY7RaHcP7X8OD179MsE8fyquLef3/HmX55vdpaW22YWvEuXJGPY25c+eycOFCevXqxW233cY111yDwWDAZDIRFRXFoUOH/riQTiA9jTNXV11D9uuvkPzTcnQoiiM9MF5sh05Vm98EF3k9rrG3otX/einSamxh9Y9LWPPTUpQyEeAdyo0j/0aIbx8btkR0tjMKjccff5xp06YRFhZ20r69e/cSFxfXzlGdT0Lj7B3atgPefJrw8lxMesgfHoZTQAmg0Dn545ZwFw5BI9rcw8ot2s8Ha+ZSWnUMrVbHFQOv57K0cehksZ8eyeaPXDuShEbHaG1pYcc77xC39n0cjU1U+TtRe5kXBp15wR+DZxxufe/BvtevU+qbWhr5fMtCNu38EoAw/2imjLwPX5nD0uNIaIhTOn4oj9K5zxB/ZBtKA/mpwTgkNqMxVQPmpyyufWdgcA23HLMvP5P/rXudE7XlGPR2jLn4ZoYkXSEDwnoQCQ1xWiaTiZ2ffkbIJ6/i2XgCkx4OXxKBa2gZmJpAo8MpfDSusbeic/AGoL6xlv/75m0y9n0DQExoMjdcdg+err1s2RTRQSQ0xJ9SXV7Jvv++SeIPy7EztdLorKfwsj64eBQAJjQ6R1yiJ+MceYPlZumOnO9YsuHf1DXW4GjvzIRLp5MWM1R6Hd2chIawyvHcfI7Nn0vy3q8BqOrlTNVlgTjaHwVA69AL17jbcQq7Eo1GR3VdJR+tn0dWrvnnIsPQuz8JDXFGDm3LpOndV4j5+SXWxeFetAx1w6D5eSKcax/c+t6Fvd+FAGzNWseyTe/Q1NKIm5Mnky67i4TeaacsX3RdEhrijJlMJrLXrMdl8euEVB1FAUeSArFLVT+/0AnseqXilngPdh4xJw1DH9w3nWuGyDD07kZCQ5y11pYWMj9eQugX75jfBqeFw4N74xxVjcZUB4BjyChc4/+K1sH3pGHoN468Vxb66UYkNESHaaipY/e7bxO3eTFOrU202Gk4MiISF78iUK2gNeDc51pcY6ZyvLqSD9bMpaD0MBo0DE8dw18G3YBBb2frZog/IKEhOlxFUTGH5r9OUuZX6JWJWnd7StPDcHI+AoDG4IZr7M3Yh45hzbZP2wxDnzLqbwT7yDD0rkxCQ3SaI3v3U/n2K/Q9/AMAZQFu1A/3wV5fCIDOKRC3hDs5rg3mg7WvUVp1DJ1WzxUDr2OEDEPvsiQ0RKfbt3kLuoVz6VOagwIKY3zRXGiPXpnX7zB4xuEQ+1dW79tpGYYe7h/DjSPvw9cz0IY1F+2R0BDnhNFoZNfyz/H99C38a4tRGshLC8Wxb2ObYenHPEfw8ZYlnKgtx05vz5iLp3KxDEPvUiQ0xDnV3NjIzoULiVy3CLfm2p+HpUfiGlpqGZauCfoLa0p1bMv5HpBh6F2NhIawiZOGpTvpKUz/zbB0vRN5rsP4bP8+6hprcbRz4oK4S+kfPYTwgBi0mjNeP0qcJQkNYVPHc/M59p9XSd63ETh5WHq9vhdr6sLZV3zUcoynqw/9oy+if/QQgn36yKXLOSahIbqE0w1LVwrKDGHk6KLZVVRIVW255Thfj0D6Rw8hNWYIfl7Btqr+eUVCQ3QZ7Q9LD8Iu1WQZlq6x86TM8xL21juw8/B2ahpOWI4P6hVO/+gh9I+5GG83v1OcRZwtCQ3R5bQ3LP3ggEgc400YjOZXRaLRYxc0nONOqew6ls/OQ1tpaKqzlBHuH0NqzBBSogbj7nz6V18I60hoiC7r98PSFXAoMpiWNHc87XPRYALA4NkXh97jyWv1YPuBLew+/CPNrU0AaNAQGdyX1JghJEcMwlmm5J81CQ3R5ZUXHSf/w4X0/nElbk01AJR6unFoYChB/sewU/WAeS0P5z7j0QVdzr5jB9l+YDNZedswGlvN+7U64kL70T/mYhL7DJTZtWdIQkN0G6qpkeJVn6P94iO8S3IBaDbo2JEahUtEHb305hGmaO1wDE7HJWIiLY6B7D70A9sOfMuBIzsxqZ97Jzo7Enqn0T/6YuJ7p2Knt7dVs7odCQ3R7SilUHsyqF72Ac6Z36JVJhSwLyaUygRHerseQYv519rOOwXniIk4BAyhtrGWzIPfs33/ZsuaHgD2do4k9RlIStRgwv1jcHVyt1HLugcJDdGtqeJCTF98TOvaT9E31AJQ7ONBTmogQT7HcNI2mj/o4IdrxAScw69Ga+dOZU0ZO3K2sH3/Zo6UHGxTpperD6F+UYT6RRLqF0mIbwSO9s7numldloSG6BFUQz1q40pMKz9CU5gHQKOdgcy0CJx71+CrN4/tMGrssQsahVfMdRjczFPwS6uK2H5gM/vyMzlaepjmlsaTyvf1DCLUL5IwvyhCfCMJ9u193l7SSGiIHkUpBZlbMX3xEWRsNm8DsuPDqYm3o/fPa3oAnHBOwT/uejyCL7a85NpkMlJcWciR4hzyiw9ypPgghWW5lpupv9BqtAR4h7bpkQR6h6HT6c9ZW21FQkP0WOpYPurLj1HrP4MG8xiO8gBv9vbzJ6RXAQ4a82PZSq0fDf5jiU8ci5PTyY9kW40tHCvL50jxQY4U53Ck+CBFFUdRP99U/YVeZyDIpzdhfpGE/twj8fMMRNvD1gWR0BA9nqqvRW34DPXFYigyz2FpdnJg/6AItAEV9NKbR5salZYqTS+a7ALQuwTh7hGKr3cYdq7B6JyD2rz8urmliYLSw+T/HCJHig9SWnXspHPbGxwI8Y2w9EjC/KLwcvPt1vNlJDTEeUOZTLB9C6bPP4SdW83bNFB8QTTFEeBrOIpWc+q/Di16T3TOwTi7BaN3CULnHIze2fx/rZ07Dc11HC0+1KZHUllbdlI5zg6uhPhFWnokoX6R3WrUqoSGOC+po4dQXyxGfb0Smsw3Po2+flRFRVLk40mRox3lumacVSkB2hL8NaUYNK2nLE+jd/45QILQOwejczEHSr3GlcLqKo6UHLL0SGp/M1/mFx4u3iSEp5EceSFRwX279L0RCQ1xXlO11ah1y82XLqVFbXdqtRiDelMeFENOrz7sdulFjlZhbzQHSYCmhABtMQHaEpw1Dac+idaA3ikAnbP5MqdW50lRg6Kgpo6CymKOlhymsbne8nEnB1cSe19AUuQgYkNTutwK7V0mNIxGI2lpaQQFBbFy5UoqKiq47rrryMvLIzw8nCVLluDp6XnaMiQ0xJlSRiPk56AOZkNOFupgFuQfBJOx7Qf1BlpCIykNjGGfVwTfO/fma1MvTK115h6JtphAjfn/YfpSArUlOKuq05xZg9bBl1KdHzmNLmSXV1FS/evUf3uDAwm9LyA5chDxYf2x7wJD37tMaPzrX/8iIyOD6upqVq5cyUMPPYSXlxezZs1izpw5VFZW8vzzz5+2DAkN0ZFUUyPk7jcHycEs8/8L8+D3f2XsHWgKi+F4QAzZnhFsdgpjc6sXDT/njQON+GtLCNSUEO9UTpR9GYHaEtyNx9E1l4BqG0xlrXYcNAVyoE7PsZoay3aDzo648H4kRQyib58LcLJ36eQ/gfZ1idAoKChg6tSpPPLII/zrX/9i5cqVxMTEsHHjRgICAigqKuLSSy9l//79py1HQkN0NlVfC4f2tu2RlJz81ARnVxrCYikMiGa3ewTfOITxQ7MrLb/PG00rae41XOBynER9Dv7NWVBzwBIkVa1a9tc7kNPsTkH9r494tVod0SFJpEReSGKfged06HuXCI0JEybw8MMPU1NTw0svvcTKlSvx8PCgqsrcrVNK4enpafn+t+bPn8/8+fMBKC0tJT8//5zWXQh1ogIOZqMOZptD5GA2VJ781ER59KIuLIYjvlFkukew0T6MzCYHTL/7Gxjm1Mooz3xSDQcIbM1GW70XTM3UtGo50GDP/noHjjbZ8cthGo2GiMB4kiMvJCliUKcvwGzz0Fi5ciVffvklb775Jhs3bmw3NAA8PT2prKw8bVnS0xBdgVIKyksslzQqJwsOZUNt9cmf9QmkOiSGQ75RfOsWzUqCqDC2HQzma2/kcq8CBtjnEGLMxlCdRV1zIzk/B0heox0mfh33EeoTRkr0JaREDaaXu3+Ht8/mofHwww+zaNEi9Ho9jY2NVFdXM27cOH766Se5PBE9hlIKjh81B8gvPZLD+6Dxd09d7BxoiOjL4aC+fO8Rw+f6MApb2j5+dTeYGOVVxCDHHMJNe6FqDwdrWthfb8/hRnta1a8BEuDmSXLEBfSL/wsBvcI7pC02D43f+m1P48EHH8Tb29tyI7SiooIXXnjhtMdLaIjuRBmNUJBrvj9yYBcqazsU5Lb9kF5PU+94jgT35QevWFYaenOwpe1EOUedYoRXKRc75xDWmk1RSTb7q1s42GBPs/r1VQ+9HAz0DYpg3FVzzqreXTY0ysvLmThxIkeOHCEsLIwlS5bg5XX6UXMSGqK7U1UVsHcHKms7Kns75O5v+7RGq6UlNJrC0ES2ecfyhUMku5rbPobVaxWXeFYyxGk/DjXbOFqWz4FaE40mc4C8dt/ys6pjlwqNsyWhIXoaVVcDezNR2dvNPZGD2fC7GbfGoN4cD08i0yeerxyj+KHZhd/+pdZqYJB7FSma7zGe2M0dk98+qzpJaAjRjaimBti/+9eeyP5d0NzU5jMmvyDKwpPZ7RfHaqdoNrV40PqbG6U7pkSdVR267gB3IcRJNPaOkDQATdIAAFRLCxzKModI1nbYm4m2uBDf4kJG8CUjAOXpQ0VEMtl+8WxwjQbOLjSkpyFED6KMRsg78GtPJGs71LQd36RbvuOsziE9DSF6EI1OBxFxaCLiYPRk86PegsPmXsgvQXKWJDSE6ME0Gg2ERKAJiYDLr6UjLiy0f/wRIURP0RErhkloCCGsIqEhhLCKhIYQwioSGkIIq0hoCCGsIqEhhLCKhIYQwioSGkIIq0hoCCGsIqEhhLCKhIYQwioSGkIIq0hoCCGsIqEhhLCKhIYQwioSGkIIq0hoCCGsIqEhhLCKhIYQwioSGkIIq0hoCCGsIqEhhLCKhIYQwioSGkIIq0hoCCGsIqEhhLCKhIYQwio2D42jR48ybNgw4uPjSUhIYO7cuQBUVFSQnp5OVFQU6enpVFZW2rimQgjoAqGh1+t5+eWXyc7OZuvWrcybN4/s7GzmzJnDiBEjyMnJYcSIEcyZM8fWVRVC0AVCIyAggP79+wPg6upKXFwchYWFrFixgqlTpwIwdepUli9fbstqCiF+ZvPQ+K28vDx27NjBwIEDKS4uJiAgAAB/f3+Ki4ttXDshBIDe1hX4RW1tLePHj+fVV1/Fzc2tzT6NRoNGo2n3uPnz5zN//nwASktLO72eQpzvukRPo6WlhfHjxzN58mTGjRsHgJ+fH0VFRQAUFRXh6+vb7rHTp08nIyODjIwMfHx8zlmdhThf2Tw0lFLceuutxMXFcf/991u2jx49mgULFgCwYMECxowZY6sqCiF+Q6OUUraswLfffsuQIUNITExEqzVn2HPPPcfAgQOZOHEiR44cISwsjCVLluDl5XXastLS0sjIyDgX1RbivGXz0OhIEhpCdD6bX54IIboXCQ0hhFUkNIQQVpHQEEJYRUJDCGEVCQ0hhFUkNIQQVpHQEEJYRUJDCGEVCQ0hhFUkNIQQVpHQEEJYRUJDCGEVCQ0hhFUkNIQQVulR62n06tWL8PDwc3rO0tLSHr/M4PnQRjh/2tnQ0EBWVtYZH99lFhbuCGVlZef8nOfDwj/nQxvh/Grn2ZDLEyGEVSQ0hBBW0T3xxBNP2LoS3V1qaqqtq9Dpzoc2grTzz+hRN0KFEJ1PLk+EEFaR0DiNo0ePMmzYMOLj40lISGDu3LkAVFRUkJ6eTlRUFOnp6VRWVlqOmT17NpGRkcTExLB69WpbVd0qjY2NDBgwgOTkZBISEnj88ceBntdOAKPRSL9+/bjqqquAntnG8PBwEhMTSUlJsTwp6dB2KnFKx44dU9u2bVNKKVVdXa2ioqJUVlaWevDBB9Xs2bOVUkrNnj1bPfTQQ0oppbKyslRSUpJqbGxUhw8fVn369FGtra02q/+fZTKZVE1NjVJKqebmZjVgwAD1/fff97h2KqXUyy+/rCZNmqSuvPJKpZTqkW0MCwtTpaWlbbZ1ZDslNKwwevRotWbNGhUdHa2OHTumlDIHS3R0tFJKqeeee04999xzls+PHDlSfffddzap65mqq6tT/fr1U1u3bu1x7Tx69KgaPny4Wr9+vSU0eloblWo/NDqynXJ58ifl5eWxY8cOBg4cSHFxMQEBAQD4+/tTXFwMQGFhISEhIZZjgoODKSwstEl9rWU0GklJScHX15f09PQe2c6//e1vvPDCC5bXfwI9ro0AGo2Gyy67jNTUVObPnw90bDt71IjQzlJbW8v48eN59dVXcXNza7NPo9Gg0WhsVLOOo9PpyMzMpKqqirFjx7Jnz542+7t7O1euXImvry+pqals3Lix3c909zb+4ttvvyUoKIiSkhLS09OJjY1ts/9s2yk9jT/Q0tLC+PHjmTx5MuPGjQPAz8+PoqIiAIqKivD19QUgKCiIo0ePWo4tKCggKCjo3Ff6LHh4eDBs2DBWrVrVo9q5ZcsWPvvsM8LDw7n++uvZsGEDN954Y49q4y9+qaevry9jx47lxx9/7NB2SmichlKKW2+9lbi4OO6//37L9tGjR7NgwQIAFixYwJgxYyzbFy9eTFNTE7m5ueTk5DBgwACb1N0apaWlVFVVAebJTGvXriU2NrZHtXP27NkUFBSQl5fH4sWLGT58OB988EGPaiNAXV0dNTU1lq/XrFlD3759O7adHXsLpmfZvHmzAlRiYqJKTk5WycnJ6osvvlBlZWVq+PDhKjIyUo0YMUKVl5dbjnnmmWdUnz59VHR0tPryyy9tWPs/b+fOnSolJUUlJiaqhIQE9eSTTyqlVI9r5y++/vpry43QntbGQ4cOqaSkJJWUlKTi4+PVM888o5Tq2HbKiFAhhFXk8kQIYRUJDSGEVSQ0hBBWkdAQQlhFQkMIYRUJDdGpXnvtNeLi4pg8ebKtqyI6iDxyFZ0qNjaWdevWERwcbOuqiA4iPQ3Rae644w4OHz7MFVdcwSuvvGLr6ogOIj0N0anCw8PJyMigV69etq6K6CDS0xBCWEVCQwhhFQkNIYRVJDSEEFaRG6FCCKtIT0MIYRUJDSGEVSQ0hBBWkdAQQlhFQkMIYRUJDSGEVSQ0hBBWkdAQQlhFQkMIYRUJDSGEVSQ0hBBWkdAQQlhFQkMIYRUJDSGEVSQ0hBBWkdAQQlhFQkMIYRUJDSGEVSQ0hBBWkdAQQlhFQkMIYZX/D2Qgx/6tUHw4AAAAAElFTkSuQmCC' 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' 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' style='max-width:100%; margin: auto; display: block; '/>\"};\n",
       "    var dim_vals = ['0.0'];\n",
       "    var keyMap = {\"('0.0',)\": 0, \"('50.0',)\": 1, \"('100.0',)\": 2, \"('150.0',)\": 3, \"('200.0',)\": 4, \"('250.0',)\": 5, \"('300.0',)\": 6, \"('350.0',)\": 7, \"('400.0',)\": 8};\n",
       "    var notFound = \"<h2 style='vertical-align: middle>No frame at selected dimension value.<h2>\";\n",
       "    function create_widget() {\n",
       "        setTimeout(function() {\n",
       "            anima3b264d8509346eb85ead3f788ddb176 = new MPLSelectionWidget(frame_data, \"a3b264d8509346eb85ead3f788ddb176\", widget_ids,\n",
       "\t\t\t\tkeyMap, dim_vals, notFound, false, \"default\",\n",
       "\t\t\t\ttrue, \"./json_figures/\", false);\n",
       "        }, 0);\n",
       "    }\n",
       "    \n",
       "    create_widget();\n",
       "    \n",
       "})();\n",
       "</script>"
      ],
      "text/plain": [
       ":HoloMap   [h2]\n",
       "   :NdOverlay   [h1]\n",
       "      :Curve   [f]   (y)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table.to.curve(kdims=[\"f\"], vdims=[\"y\"], groupby=[\"h1\", \"h2\"]).overlay(\"h1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"hololayout row row-fluid\">\n",
       "  <div class=\"holoframe\" id=\"display_area93b83f8df2704e409c5c363162ca2aeb\">\n",
       "    <div id=\"_anim_img93b83f8df2704e409c5c363162ca2aeb\">\n",
       "      \n",
       "      \n",
       "      \n",
       "    </div>\n",
       "  </div>\n",
       "  <div class=\"holowidgets\" id=\"widget_area93b83f8df2704e409c5c363162ca2aeb\">\n",
       "    <form class=\"holoform well\" id=\"form93b83f8df2704e409c5c363162ca2aeb\">\n",
       "      \n",
       "      \n",
       "      <div class=\"form-group control-group holoformgroup\" style=''>\n",
       "        <label for=\"textInput93b83f8df2704e409c5c363162ca2aeb_h1\">\n",
       "          <strong>h1:</strong>\n",
       "        </label>\n",
       "        <div class=\"holowell row row-fluid\">\n",
       "          <div class=\"hologroup\">\n",
       "            <input type=\"text\" class=\"holotext form-control input-small\"\n",
       "                   id=\"textInput93b83f8df2704e409c5c363162ca2aeb_h1\" value=\"\" readonly>\n",
       "          </div>\n",
       "          <div class=\"holoslider\"\n",
       "               id=\"_anim_widget93b83f8df2704e409c5c363162ca2aeb_h1\"></div>\n",
       "        </div>\n",
       "      </div>\n",
       "\t  <script>\n",
       "\t    function init_slider() {\n",
       "        // Slider JS Block START\n",
       "        function loadcssfile(filename){\n",
       "            var fileref=document.createElement(\"link\")\n",
       "            fileref.setAttribute(\"rel\", \"stylesheet\")\n",
       "            fileref.setAttribute(\"type\", \"text/css\")\n",
       "            fileref.setAttribute(\"href\", filename)\n",
       "            document.getElementsByTagName(\"head\")[0].appendChild(fileref)\n",
       "        }\n",
       "        loadcssfile(\"https://code.jquery.com/ui/1.10.4/themes/smoothness/jquery-ui.css\");\n",
       "        /* Check if jQuery and jQueryUI have been loaded\n",
       "           otherwise load with require.js */\n",
       "        var jQuery = window.jQuery,\n",
       "            // check for old versions of jQuery\n",
       "            oldjQuery = jQuery && !!jQuery.fn.jquery.match(/^1\\.[0-4](\\.|$)/),\n",
       "            jquery_path = '',\n",
       "            paths = {},\n",
       "            noConflict;\n",
       "        var jQueryUI = jQuery.ui;\n",
       "        // check for jQuery\n",
       "        if (!jQuery || oldjQuery) {\n",
       "            // load if it's not available or doesn't meet min standards\n",
       "            paths.jQuery = jQuery;\n",
       "            noConflict = !!oldjQuery;\n",
       "        } else {\n",
       "            // register the current jQuery\n",
       "            define('jquery', [], function() { return jQuery; });\n",
       "        }\n",
       "        if (!jQueryUI) {\n",
       "            paths.jQueryUI = \"https://code.jquery.com/ui/1.10.4/jquery-ui.min\"\n",
       "        } else {\n",
       "            define('jQueryUI', [], function() { return jQuery.ui; });\n",
       "        }\n",
       "        paths.underscore = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min\";\n",
       "        var jquery_require = {\n",
       "            paths: paths,\n",
       "            shim: {\n",
       "                \"jQueryUI\": {\n",
       "                    exports:\"$\",\n",
       "                    deps: ['jquery']\n",
       "                },\n",
       "                \"underscore\": {\n",
       "                    exports: '_'\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        require.config(jquery_require);\n",
       "        require([\"jQueryUI\", \"underscore\"], function(jUI, _){\n",
       "            if (noConflict) $.noConflict(true);\n",
       "            var vals = ['122.750000000', '149.750000000', '170.0', '192.750000000'];\n",
       "            var next_vals = {};\n",
       "            if (false && vals.constructor === Array) {\n",
       "                var min = parseFloat(vals[0]);\n",
       "                var max = parseFloat(vals[vals.length-1]);\n",
       "                var step = 1;\n",
       "                var labels = [min];\n",
       "            } else {\n",
       "                var min = 0;\n",
       "                if (false) {\n",
       "                    var max = Object.keys(vals).length - 1;\n",
       "                } else {\n",
       "                    var max = vals.length - 1;\n",
       "                }\n",
       "                var step = 1;\n",
       "\t\t\t\tvar labels = ['122.75', '149.75', '170', '192.75'];\n",
       "            }\n",
       "\t\t\tfunction adjustFontSize(text) {\n",
       "\t\t\t\tvar width_ratio = (text.parent().width()/8)/text.val().length;\n",
       "\t\t\t\tvar size = Math.min(0.9, Math.max(0.6, width_ratio))+'em';\n",
       "\t\t\t\ttext.css('font-size', size);\n",
       "\t\t\t}\n",
       "            var slider = $('#_anim_widget93b83f8df2704e409c5c363162ca2aeb_h1');\n",
       "\t\t\tslider.slider({\n",
       "                animate: \"fast\",\n",
       "                min: min,\n",
       "                max: max,\n",
       "                step: step,\n",
       "                value: min,\n",
       "                dim_vals: vals,\n",
       "                dim_labels: labels,\n",
       "                next_vals: next_vals,\n",
       "                slide: function(event, ui) {\n",
       "                    var vals = slider.slider(\"option\", \"dim_vals\");\n",
       "                    var next_vals = slider.slider(\"option\", \"next_vals\");\n",
       "                    var labels = slider.slider(\"option\", \"dim_labels\");\n",
       "                    if (false) {\n",
       "\t\t\t\t\t    var dim_val = ui.value;\n",
       "\t\t\t\t\t    if (vals.constructor === Array) {\n",
       "\t\t\t\t\t\t   var label = ui.value;\n",
       "\t\t\t\t\t\t} else {\n",
       "\t\t\t\t\t\t   var label = labels[ui.value];\n",
       "\t\t\t\t\t\t}\n",
       "                    } else {\n",
       "                        var dim_val = vals[ui.value];\n",
       "\t\t\t\t\t\tvar label = labels[ui.value];\n",
       "                    }\n",
       "\t\t\t\t\tvar text = $('#textInput93b83f8df2704e409c5c363162ca2aeb_h1');\n",
       "\t\t\t\t\ttext.val(label);\n",
       "\t\t\t\t\tadjustFontSize(text);\n",
       "                    anim93b83f8df2704e409c5c363162ca2aeb.set_frame(dim_val, 0);\n",
       "                    if (Object.keys(next_vals).length > 0) {\n",
       "                        var new_vals = next_vals[dim_val];\n",
       "                        var next_widget = $('#_anim_widget93b83f8df2704e409c5c363162ca2aeb_');\n",
       "                        update_widget(next_widget, new_vals);\n",
       "                    }\n",
       "                }\n",
       "            });\n",
       "            slider.keypress(function(event) {\n",
       "                if (event.which == 80 || event.which == 112) {\n",
       "                    var start = slider.slider(\"option\", \"value\");\n",
       "                    var stop =  slider.slider(\"option\", \"max\");\n",
       "                    for (var i=start; i<=stop; i++) {\n",
       "                        var delay = i*50;\n",
       "                        $.proxy(function doSetTimeout(i) { setTimeout($.proxy(function() {\n",
       "                            var val = {value:i};\n",
       "                            slider.slider('value',i);\n",
       "                            slider.slider(\"option\", \"slide\")(null, val);\n",
       "                        }, slider), delay);}, slider)(i);\n",
       "                    }\n",
       "                }\n",
       "                if (event.which == 82 || event.which == 114) {\n",
       "                    var start = slider.slider(\"option\", \"value\");\n",
       "                    var stop =  slider.slider(\"option\", \"min\");\n",
       "                    var count = 0;\n",
       "                    for (var i=start; i>=stop; i--) {\n",
       "                        var delay = count*50;\n",
       "                        count = count + 1;\n",
       "                        $.proxy(function doSetTimeout(i) { setTimeout($.proxy(function() {\n",
       "                            var val = {value:i};\n",
       "                            slider.slider('value',i);\n",
       "                            slider.slider(\"option\", \"slide\")(null, val);\n",
       "                        }, slider), delay);}, slider)(i);\n",
       "                    }\n",
       "                }\n",
       "            });\n",
       "\t\t\tvar textInput = $('#textInput93b83f8df2704e409c5c363162ca2aeb_h1')\n",
       "\t\t\ttextInput.val(labels[0]);\n",
       "\t\t\tadjustFontSize(textInput);\n",
       "        });\n",
       "\t\t}\n",
       "        $(document).ready(init_slider)\n",
       "        // Slider JS Block END\n",
       "        </script>\n",
       "        \n",
       "        \n",
       "        </form>\n",
       "    </div>\n",
       "</div>\n",
       "\n",
       "\n",
       "<script language=\"javascript\">\n",
       "/* Instantiate the MPLSelectionWidget class. */\n",
       "/* The IDs given should match those used in the template above. */\n",
       "(function() {\n",
       "\tif (jQuery.ui !== undefined) {\n",
       "\t\t$(\"#display_area93b83f8df2704e409c5c363162ca2aeb\").resizable({\n",
       "\t\t\tresize: function(event, ui) {\n",
       "\t\t\t\t$(\"#widget_area93b83f8df2704e409c5c363162ca2aeb\").width($(this).parent().width()-ui.size.width);\n",
       "\t\t\t}\n",
       "\t\t});\n",
       "\t\t$(\"#widget_area93b83f8df2704e409c5c363162ca2aeb\").resizable();\n",
       "\t}\n",
       "    var widget_ids = new Array(1);\n",
       "    \n",
       "    widget_ids[0] = \"_anim_widget93b83f8df2704e409c5c363162ca2aeb_h1\";\n",
       "    \n",
       "    var frame_data = {\"0\": \"<img 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' 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' 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' style='max-width:100%; margin: auto; display: block; '/>\"};\n",
       "    var dim_vals = ['122.750000000'];\n",
       "    var keyMap = {\"('122.750000000',)\": 0, \"('149.750000000',)\": 1, \"('170.0',)\": 2, \"('192.750000000',)\": 3};\n",
       "    var notFound = \"<h2 style='vertical-align: middle>No frame at selected dimension value.<h2>\";\n",
       "    function create_widget() {\n",
       "        setTimeout(function() {\n",
       "            anim93b83f8df2704e409c5c363162ca2aeb = new MPLSelectionWidget(frame_data, \"93b83f8df2704e409c5c363162ca2aeb\", widget_ids,\n",
       "\t\t\t\tkeyMap, dim_vals, notFound, false, \"default\",\n",
       "\t\t\t\ttrue, \"./json_figures/\", false);\n",
       "        }, 0);\n",
       "    }\n",
       "    \n",
       "    create_widget();\n",
       "    \n",
       "})();\n",
       "</script>"
      ],
      "text/plain": [
       ":HoloMap   [h1]\n",
       "   :NdOverlay   [h2]\n",
       "      :Curve   [f]   (y)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table.to.curve(kdims=[\"f\"], vdims=[\"y\"], groupby=[\"h1\", \"h2\"]).overlay(\"h2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"hololayout row row-fluid\">\n",
       "  <div class=\"holoframe\" id=\"display_area81a8c5c1d17c4dce874495da08f55fdf\">\n",
       "    <div id=\"_anim_img81a8c5c1d17c4dce874495da08f55fdf\">\n",
       "      \n",
       "      \n",
       "      \n",
       "    </div>\n",
       "  </div>\n",
       "  <div class=\"holowidgets\" id=\"widget_area81a8c5c1d17c4dce874495da08f55fdf\">\n",
       "    <form class=\"holoform well\" id=\"form81a8c5c1d17c4dce874495da08f55fdf\">\n",
       "      \n",
       "      \n",
       "      <div class=\"form-group control-group holoformgroup\" style=''>\n",
       "        <label for=\"textInput81a8c5c1d17c4dce874495da08f55fdf_h2\">\n",
       "          <strong>h2:</strong>\n",
       "        </label>\n",
       "        <div class=\"holowell row row-fluid\">\n",
       "          <div class=\"hologroup\">\n",
       "            <input type=\"text\" class=\"holotext form-control input-small\"\n",
       "                   id=\"textInput81a8c5c1d17c4dce874495da08f55fdf_h2\" value=\"\" readonly>\n",
       "          </div>\n",
       "          <div class=\"holoslider\"\n",
       "               id=\"_anim_widget81a8c5c1d17c4dce874495da08f55fdf_h2\"></div>\n",
       "        </div>\n",
       "      </div>\n",
       "\t  <script>\n",
       "\t    function init_slider() {\n",
       "        // Slider JS Block START\n",
       "        function loadcssfile(filename){\n",
       "            var fileref=document.createElement(\"link\")\n",
       "            fileref.setAttribute(\"rel\", \"stylesheet\")\n",
       "            fileref.setAttribute(\"type\", \"text/css\")\n",
       "            fileref.setAttribute(\"href\", filename)\n",
       "            document.getElementsByTagName(\"head\")[0].appendChild(fileref)\n",
       "        }\n",
       "        loadcssfile(\"https://code.jquery.com/ui/1.10.4/themes/smoothness/jquery-ui.css\");\n",
       "        /* Check if jQuery and jQueryUI have been loaded\n",
       "           otherwise load with require.js */\n",
       "        var jQuery = window.jQuery,\n",
       "            // check for old versions of jQuery\n",
       "            oldjQuery = jQuery && !!jQuery.fn.jquery.match(/^1\\.[0-4](\\.|$)/),\n",
       "            jquery_path = '',\n",
       "            paths = {},\n",
       "            noConflict;\n",
       "        var jQueryUI = jQuery.ui;\n",
       "        // check for jQuery\n",
       "        if (!jQuery || oldjQuery) {\n",
       "            // load if it's not available or doesn't meet min standards\n",
       "            paths.jQuery = jQuery;\n",
       "            noConflict = !!oldjQuery;\n",
       "        } else {\n",
       "            // register the current jQuery\n",
       "            define('jquery', [], function() { return jQuery; });\n",
       "        }\n",
       "        if (!jQueryUI) {\n",
       "            paths.jQueryUI = \"https://code.jquery.com/ui/1.10.4/jquery-ui.min\"\n",
       "        } else {\n",
       "            define('jQueryUI', [], function() { return jQuery.ui; });\n",
       "        }\n",
       "        paths.underscore = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min\";\n",
       "        var jquery_require = {\n",
       "            paths: paths,\n",
       "            shim: {\n",
       "                \"jQueryUI\": {\n",
       "                    exports:\"$\",\n",
       "                    deps: ['jquery']\n",
       "                },\n",
       "                \"underscore\": {\n",
       "                    exports: '_'\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        require.config(jquery_require);\n",
       "        require([\"jQueryUI\", \"underscore\"], function(jUI, _){\n",
       "            if (noConflict) $.noConflict(true);\n",
       "            var vals = ['0.0', '50.0', '100.0', '150.0', '200.0', '250.0', '300.0', '350.0', '400.0'];\n",
       "            var next_vals = {};\n",
       "            if (false && vals.constructor === Array) {\n",
       "                var min = parseFloat(vals[0]);\n",
       "                var max = parseFloat(vals[vals.length-1]);\n",
       "                var step = 1;\n",
       "                var labels = [min];\n",
       "            } else {\n",
       "                var min = 0;\n",
       "                if (false) {\n",
       "                    var max = Object.keys(vals).length - 1;\n",
       "                } else {\n",
       "                    var max = vals.length - 1;\n",
       "                }\n",
       "                var step = 1;\n",
       "\t\t\t\tvar labels = ['0', '50', '100', '150', '200', '250', '300', '350', '400'];\n",
       "            }\n",
       "\t\t\tfunction adjustFontSize(text) {\n",
       "\t\t\t\tvar width_ratio = (text.parent().width()/8)/text.val().length;\n",
       "\t\t\t\tvar size = Math.min(0.9, Math.max(0.6, width_ratio))+'em';\n",
       "\t\t\t\ttext.css('font-size', size);\n",
       "\t\t\t}\n",
       "            var slider = $('#_anim_widget81a8c5c1d17c4dce874495da08f55fdf_h2');\n",
       "\t\t\tslider.slider({\n",
       "                animate: \"fast\",\n",
       "                min: min,\n",
       "                max: max,\n",
       "                step: step,\n",
       "                value: min,\n",
       "                dim_vals: vals,\n",
       "                dim_labels: labels,\n",
       "                next_vals: next_vals,\n",
       "                slide: function(event, ui) {\n",
       "                    var vals = slider.slider(\"option\", \"dim_vals\");\n",
       "                    var next_vals = slider.slider(\"option\", \"next_vals\");\n",
       "                    var labels = slider.slider(\"option\", \"dim_labels\");\n",
       "                    if (false) {\n",
       "\t\t\t\t\t    var dim_val = ui.value;\n",
       "\t\t\t\t\t    if (vals.constructor === Array) {\n",
       "\t\t\t\t\t\t   var label = ui.value;\n",
       "\t\t\t\t\t\t} else {\n",
       "\t\t\t\t\t\t   var label = labels[ui.value];\n",
       "\t\t\t\t\t\t}\n",
       "                    } else {\n",
       "                        var dim_val = vals[ui.value];\n",
       "\t\t\t\t\t\tvar label = labels[ui.value];\n",
       "                    }\n",
       "\t\t\t\t\tvar text = $('#textInput81a8c5c1d17c4dce874495da08f55fdf_h2');\n",
       "\t\t\t\t\ttext.val(label);\n",
       "\t\t\t\t\tadjustFontSize(text);\n",
       "                    anim81a8c5c1d17c4dce874495da08f55fdf.set_frame(dim_val, 0);\n",
       "                    if (Object.keys(next_vals).length > 0) {\n",
       "                        var new_vals = next_vals[dim_val];\n",
       "                        var next_widget = $('#_anim_widget81a8c5c1d17c4dce874495da08f55fdf_');\n",
       "                        update_widget(next_widget, new_vals);\n",
       "                    }\n",
       "                }\n",
       "            });\n",
       "            slider.keypress(function(event) {\n",
       "                if (event.which == 80 || event.which == 112) {\n",
       "                    var start = slider.slider(\"option\", \"value\");\n",
       "                    var stop =  slider.slider(\"option\", \"max\");\n",
       "                    for (var i=start; i<=stop; i++) {\n",
       "                        var delay = i*50;\n",
       "                        $.proxy(function doSetTimeout(i) { setTimeout($.proxy(function() {\n",
       "                            var val = {value:i};\n",
       "                            slider.slider('value',i);\n",
       "                            slider.slider(\"option\", \"slide\")(null, val);\n",
       "                        }, slider), delay);}, slider)(i);\n",
       "                    }\n",
       "                }\n",
       "                if (event.which == 82 || event.which == 114) {\n",
       "                    var start = slider.slider(\"option\", \"value\");\n",
       "                    var stop =  slider.slider(\"option\", \"min\");\n",
       "                    var count = 0;\n",
       "                    for (var i=start; i>=stop; i--) {\n",
       "                        var delay = count*50;\n",
       "                        count = count + 1;\n",
       "                        $.proxy(function doSetTimeout(i) { setTimeout($.proxy(function() {\n",
       "                            var val = {value:i};\n",
       "                            slider.slider('value',i);\n",
       "                            slider.slider(\"option\", \"slide\")(null, val);\n",
       "                        }, slider), delay);}, slider)(i);\n",
       "                    }\n",
       "                }\n",
       "            });\n",
       "\t\t\tvar textInput = $('#textInput81a8c5c1d17c4dce874495da08f55fdf_h2')\n",
       "\t\t\ttextInput.val(labels[0]);\n",
       "\t\t\tadjustFontSize(textInput);\n",
       "        });\n",
       "\t\t}\n",
       "        $(document).ready(init_slider)\n",
       "        // Slider JS Block END\n",
       "        </script>\n",
       "        \n",
       "        \n",
       "        </form>\n",
       "    </div>\n",
       "</div>\n",
       "\n",
       "\n",
       "<script language=\"javascript\">\n",
       "/* Instantiate the MPLSelectionWidget class. */\n",
       "/* The IDs given should match those used in the template above. */\n",
       "(function() {\n",
       "\tif (jQuery.ui !== undefined) {\n",
       "\t\t$(\"#display_area81a8c5c1d17c4dce874495da08f55fdf\").resizable({\n",
       "\t\t\tresize: function(event, ui) {\n",
       "\t\t\t\t$(\"#widget_area81a8c5c1d17c4dce874495da08f55fdf\").width($(this).parent().width()-ui.size.width);\n",
       "\t\t\t}\n",
       "\t\t});\n",
       "\t\t$(\"#widget_area81a8c5c1d17c4dce874495da08f55fdf\").resizable();\n",
       "\t}\n",
       "    var widget_ids = new Array(1);\n",
       "    \n",
       "    widget_ids[0] = \"_anim_widget81a8c5c1d17c4dce874495da08f55fdf_h2\";\n",
       "    \n",
       "    var frame_data = {\"0\": \"<img 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A4vvvhixM4eFBQUoKSkBJ999hkA4OTJk1i4cKF/vH4AQeP1E5KsZFnG8uXLceeddwIIPcM2ANTW1mLu3LmYP38+3njjjaiUZ0Lh0NnZia985Suorq5GQ0MDJju6/YsvvojNmzdjyZIlaGpqwj/+4z+ipqYGb731FubNm4cTJ06gpqZmUv8GIYlu//79KC8v978PdcbuwoULqK+vx/nz59HQ0IDHHnsMsixHvkBsghRFYQ0NDez+++9n1113HfuHf/gH9sUXX0x0dRGxcuXKuP77ZGpKhL+blpYWdsstt7CTJ0+yb3zjG4wxxq6//nrW3t7OGGOsvb2dXX/99Ywxxvbs2cP27Nnj/+26devYn/70J9X1TmbbJnzMgeM4FBQUoKCgAKIowmQyYcOGDdi1a1cks4uQaeHv/u7v8Oyzz4Lnh6pkqDN2bW1tKCkp8X+vuLgYbW1tES/ThC6f3r9/P1555RXk5ubi4Ycfxs9//nNoNBooioJ58+bh2WefjXQ5CYmJ5YcuRWW95x6cF/Kz48ePIz8/HytXrsTp06dVvzPaGbtomVA49PX14fe//z1mz54dtJzneRw/fjwiBSNkunj//ffx3//933j99dfhcDhgsVjw7W9/23/GrrCwMOiMndFoREtLi//3ra2tMBqNkS/YhHdIElAi7DuSqSeR/m5OnTrlP+awc+dOVltbyxhjrLa2lv3whz9kjDH2ySefsCVLljCHw8EuX77MysrKmCRJquubzLbRXZmEJKiamhrVGbYrKipQXV2NhQsXQhRFHDhwAIIgRPzfp1m2ybSXzH83NMs2ISTiKBwIIaooHAghqigcCCGqKBwIIaooHAghqigcCEkQw2/ZDjXDts+1a9eQlpYWtVm66CIoQhKE75Zti8XiX6Y2w7bPjh07/DNxRwP1HAhJAK2trfjDH/6Ahx9+OKzvHz16FGVlZaioqIhamSgcCEkAardsA+ozbA8ODuKZZ57BU089FdUy0W4FIQHku5dHZb3C0ZGzWfmEumU71Azbu3fvxhNPPIG0tLSolNWHwoGQOAt1y/bhw4f933nkkUf8Byo//PBD/Od//id27dqF/v5+8DwPnU6H7du3R7RcFA6EBBithY+W2tpa1NbWAgBOnz6Nffv24fDhwyFn2A6cVXv37t1IS0uLeDAAFA6EJKxdu3aFnGE7FuiWbTLtJfPfDd2yTQiJOAoHQogqCgdCiCoKB0KIKgoHQogqCgdCiCoKB0ISRGlpKRYvXoxly5ahsrISQHxn2qZwICSBnDp1Ck1NTf5rE+I50zaFAyEJ7NixY9iyZQsAYMuWLTh69Kh/+caNG6HValFWVoa5c+fi7NmzEf23KRwISRAcx+HWW2/FypUrcfDgQQDxnWmb7q0gJED7a1+NynqL7vlgzO+89957MBqN6OrqQlVVFRYsWBD0eaxn2qaeAyEJwjdTdn5+Pu655x6cPXvWP9M2gJjPtE09B0IChNPCR4PVaoWiKEhPT4fVasWbb76Jn/zkJ1i/fj3q6upQU1ODuro63HXXXQCA9evXY9OmTdixYwfa29tx6dIlrFq1KqJlSphwkGUZlZWVMBqNOH78OPr6+nD//fejubkZpaWlOHLkCLKzs+NdTEKiorOzE/fccw8AQJIkbNq0Cbfffju+8pWvxG2m7YS5ZfuXv/wlGhsbYbFYcPz4cezatQs5OTmoqanB3r17YTKZ8Mwzz4y6jmS+9ZZETzL/3Uz5W7bVRt4NdQqHEBIbCREOaiPvhjqFM9zBgwdRWVmJyspKdHd3x6S8hEwHcQ+HwJF3QxntFM62bdvQ2NiIxsZG5OXlRauYhEw7cT8gGWrkXd8pnMLCwqBTOIREGs/zcLvd0Gg08S5KRLnd7hHzYIxH3HsOtbW1aG1tRXNzM+rr63HLLbfg8OHD/lM4AIJO4RASaQsWLMChQ4fgdrvjXZSIcbvdOHToUNCFVHa3gqYue9jrSJizFcDQsNzHjx9Hb28vqqurce3aNf8pnJycnFF/n8xHnUn0dHV1YefOnbh48SIURYl3cSKD41E0Zx5u2/4U2rkMfNrnRLPZBQbg3IPzwltFIoXDZFE4kOnI7JTxaZ8TF/sc+LTXiU/7nGgZGNkLEjnguiwt6u+cFdZ6437MgRASvj67hE/7nN6HAxd7nWi3SiO+l8JzmJedggU5WpTn6FA+Q4u5WSlIEcI/kkDhQEgCYoyh2y7j014HLvY5caHPiYt9TnTZRgaBTuAwP0frDQItFuToMCcrBRp+cjdpUTgQEmeMMXRYPT2Ci70O7y6CE72OkYO3GDQ85md7QqB8hicQSjNSIEwyCNRQOBASQwpjaB1w46Jv18DbMzC7Rh4ITU/hPSGQo/P0CmZoUZKuAR+j27YpHAiJEllhuDrgDuoNXOxzYtA9MgiytAIWzhjaNSjP0aEoTYzp+A3DUTgQEgGSwnDF7ArqDXxmcsIujTwZmJsqYGGODgu8YbAwR4t8fXyDQA2FAyHj5JYZvuh3BvUGPjc54ZRHBkGBQRzaNZihxYJsLfL0U6PaTY1SEhInDknBF/0uXPD2Bi72OXGp3wlJ5VqpknQNFgw7a5Cti+wYC7FE4UCIl82t4HOTM+iCostmF4Z3CDgApRkaf2+g3BsI6SlTNwjUUDiQaWnAJeOzvqFdg8DLiwPxHDA3K2XoQOEMHa7P1sKgifttSVFH4UCSllth6LFL6LRK6LJJaBscOoU42uXF5QG9gXnZWqSKyR8EaigcyJTklhm67RI6bUOV/0ubhE6bG11Wz/JehwwlxJ1Dkbi8ONlROJCE45IVdNlkdNokdNnc6LRJ+NIbAJ5lEnrt8ohdgOE4AHmpAmbqReQbRBTqNd5AiMzlxVMNG7QALZfBlS8L6/sUDiSmnLLiqeTe1t1X2QMrf5/KZcPD8RyQnyoiXy9ipl7ETIP3We9dZhCRmypOuwAAAGbuA1oug7Vc9j5fAVovA6YeAIBw9FxY66FwIBFjl4Irvq+yBwZBv3Psii9wQJ4+uLIXGAKCQC9iRqoIcRpWfB/GGGDqDg6B1itAy2XA0q/+I60OMJaF/W9QOJCw2N2Kv4IPVXi3f1+/yyqp3h8wnMh7WvyZQZVd42/58/UiZuiEqNxINBUxxoCeL4f1BDzPsA2q/yjVAJTMAVcyx/NcXAaUXAfkFYAbx7BxSRcOSTR2TczYJOZp6a1u70E9yX9Qz/cYCKPia3gO+XrBU9n1QwFQ4N3nn6kXkaMTYnbj0FTCZBnoavf2AAJCoLUZcNjUf5SWAZRc5wmB4jJ/GGBGfkQuxU6qcLjQ68SKw1/EuxhJKYXnVPfrZwZ09bOo4o+JyRLwZevInkBbM+Byqv8oMye4J+ALgcycqN6PkVThQCZGJ3AjDuz53hcYNMjXi8jS8gl3Y1AiY24X0H5taBfA1yNovwpIIwdsAQDMyAeKh4VAcRm4jKzYFt4rqcJh4QwtGsMcPJOQSGBOB9B21bsLEHA8oKMFUEIcfM0vCtoN8IeAIT1y5ZJdkG1fQrK1QbZ2QLK2QbZ1QLa2Ie+WurDWkVThQEi0MLsNaL0C1vIXoOXKUAh0tQFqx7k4DigsCaj83mdjKbhU/eTLwxQojl5I1nbItnbI1nZIAc+KvRsY80qQ0VE4EBKADQ4ArX/xXBsQcHAQ3V+q/0AQPSEwvCdQNBucVjepsihuK2RrW1Cll62+1x2A4gr9Y06AkDoTgqEIor7I82wogqAvCvvfp3Ag0xKzmNRPD3ovFBpB1Hha/ZKy4IOCBbPATXCmLKa4vV1/T3dftnYE7QYwt2XU3/Mp2RAMhRANRgj6QggGI0Tvs5CaD46fXPWmcCBJgzEGWAeBgX5g0AIM9IMNmD3vB8xAfy9Ya7PnakGzSX0lKbqAXkAZuGJfCBjBCeOrLowxKM6+4C6/f9+/HbK9C0DoU8ScoIXga/W9z4Le2wMwFIEXJ797MhoKB5KQmMvpqdC+ij3QDzZgCXhvBvOHgO97ltAHAYfT6dVPD+YVjutCIUWyeSq6beign+TtBci2djDZMcqveQipBd5K7+0BBAQBr43uqcqxUDiQqGKyDFgtnorrrdgsoIJj0AxYzMEt/IAZcI1WqUaRagDSM72PLHD+1973xlKguAzInRlWxWOKBNneBdnW7jn45z0A6HutuEL0QLw4TYa/pR/R+usLwPGJO3kvhQMJC2MMcNiDW25vxVZvzb3LrAPqR/PHIopAepZ6RU/zPHO+zzM8n8OQMe79f8YYFFf/iErvP/hn7wTYKL0RPgWivsCzn+9r/QO7/pq08W97gkiucLANgn30frxLMfW4XEOt+aCvkg9ryQfMgDTBWajTMtQrtbfSIz1j5DJdakS61IwxMLcFsr07+OBfwG4Ak0JcnuzF6/L8B/08Xf9CCHojREMheF0uOC7xx4Bwuh2wWE2wWPtwnbEirN8k10S6WXp8uGZ+vIuRvFJ0KpU6M6iF57zL/csMGeCE6Iyt6Gn1zVDsXZDtnZ4AsHd5Ho4uyLYuKI4uMDnEZclenGjwnuoLbvVFvbfrL2ijUv7JYozB7rJ6K70JZu+zxdrnfd3nWW4zwemy+3/3wuNHw1p/cvUc9GnA8r+KdymmHlH0VOo0b6XOyAyu9L4Wf5Ln7ceDMcXT3bd3B1T+roAA8ITBqOf6vTjRACE13/PwnfILaP05TUZCXRrOGIPVMRBUyYcqvjcIbJ6K75bG3n4AEAUNMgzZyDBkh12O5AqHolkQnjoQ71KQMTCmQHGa/K284mvt/a2+JwCgjL0bw2nSIaTmeSv/TM9rXT74gPe8xhCDrRqbosgYsJuHtfTBrbzFaoLF1g9ZCXH/xTBajQ4ZhhxkGLKRachGhj4bmWme9xn6bGQYcpBpyEaq1jDuAEyucCBxx5gMxdE31Mo7uiDbOqE4Arr89m6Ajf3H76n4M70VPy/oNe/tCUT7XH84JNmNAVv/6K38oAkDdjMYG/vWdwBI1RqQ6a30QxU/8L2n0mtTUqO2XRQOJGyeit8b3MoHPBR7N2RH9+hH9734lEx/Bfc/dHkQ9DO9LX8eeDF6f/jhcEnOMVt5s80Eq330KxkDpaVmDlVwvfc5LSeolU83ZCFFjP9xjriHQ0tLC77zne+gs7MTHMdh27ZtePzxx9HX14f7778fzc3NKC0txZEjR5CdHf7+Ehkfpkjeij9s3957YE92dEFx9IZZ8bODWveRjzxwQuyOXwzncNlhtvYNHbALaumHAsDuGv0shg/H8UjXZ/pb+pGtvKfiZ+izIIzzKst4ivvZio6ODnR0dGDFihUYGBjAypUrcfToUbz88svIyclBTU0N9u7dC5PJhGeeeWbUdS29PgdvHqiKUcmTB5NsUBx9GO1SXh9em+Ov5Pywrr6g81X8+LR6jDEM2s3oH+z1PAZ60D/YC9Og59k80AuzzQSXO7wLrAReHNatD2zlh1r6tNQM8HxyzXYFJEDPobCwEIWFhQCA9PR0lJeXo62tDceOHcPp06cBAFu2bMGaNWvGDAcoLsiD16Jc4mTFgdfOgKDP91byfJVufy44ISUupVOYgkGbr+L3eCv/UMX3LZPlsY9laMSUYfvzgRXeEwSZhhzodekJdRYj1uIeDoGam5tx7tw5rF69Gp2dnf7QKCgoQGdn55i/FzPmIP/W+mgXM/kIKZ6KH6dLeX1H8X0tva+ymwaGKr15sC+sI/h6bRqy0nORlTbD/8hOz0VWWi4y03KQaciBLkU/rSt9uBImHAYHB3Hffffh+eefR0ZGRtBnHMeF/J958OBBHDx4EADQ02uGmD476mUl4VMUGRZbP0wDQy282RsAvmVmax+UMG6YMujSPRXeW9mDK/8MZKbNgFYTv2MZySbuxxwAwO12484778Rtt92GHTt2AADmz5+P06dPo7CwEB0dHVizZg0+++yzUddTWVmJxsbGWBSZAJAVGRZrX1AL7+/ie5dZrCYoYZy+S0vNHGrtg1r+XGSne1r9RDiCn+gURYHT6YTT6YTD4fA/+x5OpxM33nhjWOuKe8+BMYatW7eivLzcHwwAsH79etTV1aFjtcrtAAANRElEQVSmpgZ1dXW466674ljK6UeWJZitfUEt/NC+vufZYusP67x9uj4rqJXPHNbqZxpyoBHjcywjEcmyHFSZ1Z5DLXO5xr5iMtxwiHvP4b333sPXv/51LF68GLz3Pvo9e/Zg9erVqK6uxrVr1zB79mwcOXIEOTk5o67rzk034Uc/+lEsip1UnG5HQKvvqfwDtn6wMcYg5MAh3ZCl2sX3tfoZhhxoxMS9LTkaGGNwu93jrti+11Ko0anDpNVqodVqodPpoNXqIKfo4U7Rwy6kws7r8MS65WGtJ+7hEEk/2H93vIuQNDhwyDBkq3bxfe8zDNkQheSs+IwxuFyusCqz73Xge0UJ70pINRzHQafTeSu3NujZ9zpFq4OD18LGpWCQaTCgCDDLPEwuoNcho9smoccuo8chQRpWlHNhjtAe992KSPrys0Fs2LAh3sWYckQxZUTLn6HPnlIX7PgoigJJkuB2uyFJ0ojX4XbXnU7npGZPE0UxZMUOfD88AASNFhaZQ69DQbdNQrddQpddRo9d8jwsMrrtnsmGFQYAkvcRWpqGR5FGxhxmwSzJAiC8cEiqngMdkEw8jLExK+zwZaN9Ntb7ybTYw6WkpIyo4MMr+vBlvveiGBysDknxtOR2T4X3v7YFvLbLYU007JOlFVAiuFCmWDBL7kehy4x8Zz9y7CZkWHuhH+hDiqUXnKnHM+iO17ScZdtgMMBsNse7GFOOr/KOVYHHeh+qgsey/eE4DqIo+h8ajSboeTyVnQ9jLEmr29PCd9gldFtk9HS60GO3BVX+bruMQXd4ocVzQI6WxyzBievkfhRLZhS6zMhzmJBtNyHdakLqQC80/T3g+ns8o3OFQxCBrBlATm5430eS9Rz27dsX7yIQFTzPj1ph1T6byHuNRgOen/y0fYwxWFyKvzX3tO6Sastvl8KrPiIP5Gl5lHJWlMoWFEtmFLj6ke8wIctmQtpgH3QDvdCYez3D47vDG6cBKVogO9f/4LJzgZw8IDsPXM7QcqRnjWvgXCDJeg5Wq9V/VSUJH8dxk66Uo1VyIUojQY2XwhhMDhk9dtlbwaURLXyPXUKvXYZLCa/SawUOM7Uc5rABzJbNMEpmFDj7kevoR6atD2mDvdBZ+iCYe4D+PiCMy7sBeEbHzsnzVHh/Jc8bEQAwpEXtas+k6jnQMYfpwykrMDsV9DtlmP0P73uX532/U4HFGfDaJUMO86/doOFRkKJ4Kr3UD6PbU+lz7CZk2kwwDPZCa+kF398LmPvCH0Q3LSOglc/zBwByvJXeGwKRmDJvspKq50CmHllhGHAr3go8VJHNThkWp4x+l+Kv/P1OGRZvADjCreXDZKbwMIoS5ihmlCgWGF1m5DtNyLH1IcNm8h/E4/t7PIPqhoPjgMycgEqep9rNR/YMcClT5yrPpOo5LH/+FBbMuw4ankOKwCGF56DxPqcI3Mjlo30njN8FfsZP8xt5GGOwS8xTgV1DFXyo0iv+Fj2wxR9wKROa7lXkgEytgFxBgpFZMVO2IU8exEypB7nKl8iQe6BnJmhYPwRuEODtYKITkGUgzNGYAA4QhKEHL/pfc4L3Ne/9bAr9/8+/9dWwvpdcPYcZxbjYN/pIw9EicvCHTFDYCBy0KsuCw4UfNaQCwyllrFDzLhf5if+xuhXmabVHqdRmpwyzSwmq/O4w99OHS9PwyNEAhZwdhYoVM2UrcqVB5EhWZLoGkOEchMFhRqqrD4JiAq+YwTAIhXdA1smQ9YCi5yAbOEAXvN0MalcBjOfAnOJ9BIxn6Vvp5C5kTHhJ1XN4+5t/heU3/BVkQQNZ0EAKeLgFDdy8CLeggYvXwMWLcPEaOHkRTl4DJyfCyYtwcBo4OBF2TgM7J8LGibBDhJ0TYYUIOwS4FMAlM7gVBpfMwj54FUs8h6AACRUkKQIHhcHf4pudStin3YbTChwyU3jkCy4UKTbMlK3IlwcxQxpEtmsQGe5BpDkGoLdboLNboLFaIFg9c2UweRByKiAbOH9FH3r2LIcwduBxsgBBSQXPpUEQsiBoczwD0qQVgs8wApm5gD56B/GmAk1GWVjfS6pwkO8O75rxSRM1gCYF0HifxRQwjQZMTIEiasBEDRQxBbKogSJoIHlfS7wYHFaCBm7eE1ouXgOnIMLFBQeWw/fgNZ6Q4kXY4H1wnmcn4+D2hpTveTJ5xXNARgqPHA1DEbOhULYhX/FU8hz3oLc1H4DeMYhUuwUpNgtEqwX84MjJbxgARQcohoAKr+cC3gOyPsyKz+kgiNkQtLngDTMhpBs9D++4k4k00nQySKrdiuMLNVhz4xpwCgCFAyfD81pm4GQGTmKApICTFXBuBZBkwC2DcymAWwLnlsC5ZMDpBudyAy4XOLcbcLs9550lFyBJnj9+yQ0EXH/CeR9xmftIEAOCyvPMNClgAUGliBoooqdHpYgpkLy9K7eoAaco0NsHoLVboLFZIPgqud066j/LuKGK79JzUAo4yHM4yOk6KOmCp7uvlT3/YcbAaTJCjDc5NCRdIow0PZ0kVc+h/bWvRniNHMBrwAkp4HgNOD7F854TAU4E53tAACCAAw+OCQB4cIwDp3AA4z3PCoLDSvIEFmTFE1pu2bPMLQNuyRtaEjiXBLhkT0g5XeDcEuB2DgVWuBfLjBPjAMXAQ56RBiVHDzlTA8UgQEllkLUSZMEBhbMBYRxO5FOyvONNBswt4a/4M8Hr8sCLNEhLokmqnsPLJ2X8v+2PgiluMNkFKG4wxQWmuD2vZc9rpgR8JrsBxbfc9zvvb5jsfe2a0BH1kHgAEx2+gNd4gyot4LUmKKw8QSV4Q4sHxzwP+AJL4cExT1hBBsDJkDVuzwE+DEKWzVDcJu9RfZf3EaI42mzv+JLDB5z1zTUR35GmycQlVc8h0hdBMSYPCw8XIA8Fjj9k5JGB43nvUg2qofeB6xgeXG7PHI+BoRXGRDCRxPsO5nlbevUBZ6fOeXsyPkkVDrm5uSgtLY13MSatu7sbeXl58S5G1E2H7UzEbczNzUVDQ8OY30uqcEgW0+Uy8OmwnVN5G+NycJ0QkvgoHAghqigcEtC2bdviXYSYmA7bOZW3kY45EEJUUc+BEKKKwiEOHnroIeTn52PRokUjPvvFL34BjuPQ09PjX1ZbW4u5c+di/vz5eOONN2JZ1AkLtY0vvvgiFixYgIqKCuzatcu/fCpuI6C+nU1NTbjhhhuwbNkyVFZW4uzZs/7PptR2MhJzf/zjH9n//u//soqKiqDl165dY+vWrWOzZs1i3d3djDHGzp8/z5YsWcIcDge7fPkymzNnDpMkKR7FHhe1bXz77bfZ2rVrmcPhYIwx1tnZyRibutvImPp2VlVVsddff50xxtgf/vAHdtNNNzHGpt52Us8hDm688UbV2bueeOIJPPvss0G3Ex87dgwbN26EVqtFWVkZ5s6dG9QSJSq1bfz1r3+NmpoaaLWeqyrz8/MBTN1tBNS3k+M4WCwWAIDZbEZRURGAqbedFA4J4tixYzAajVi6dGnQ8ra2NpSUlPjfFxcXo62tLdbFi4jPP/8c7777LlavXo2bbroJ//M//wMgubYRAJ5//nn88Ic/RElJCXbu3Ina2loAU287KRwSgM1mw549e/DTn/403kWJKkmS0NfXhzNnzuDnP/85qqurYzqnRaz8+te/xnPPPYeWlhY899xz2Lp1a7yLNCEUDgngL3/5C65cuYKlS5eitLQUra2tWLFiBb788ksYjUa0tLT4v9va2gqj0RjH0k5ccXEx7r33XnAch1WrVoHnefT09CTVNgJAXV0d7r33XgDAt771Lf+uw1TbTgqHBLB48WJ0dXWhubkZzc3NKC4uxkcffYSCggKsX78e9fX1cDqduHLlCi5duoRVq1bFu8gTcvfdd+PUqVMAPLsYLpcLubm5SbWNAFBUVIQ//vGPAIC3334b8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RASHTGRHO677z5cccUVOHXqFD799FMUFxeHHdOBEBIdpieHzs5OvPvuu7jjjjsAAFarFRkZGWHHdCCERIfpyaG2thbZ2dn40Y9+hAULFuDOO+9ET0/PoGM6EELGnunJQZIkfPzxx/jpT3+KTz75BCkpKQN2IfqP6RBs9+7dWLx4MRYvXoyWlpZoVJmQhGB6cigoKEBBQYF+OfENN9yAjz/+OKIxHQCgrKwMVVVVqKqqQnZ2dtTqTUi8G1ZyePLJJ0ft7EFubi4mT56ML774AgBw+PBhzJo1Sx/TAUDImA7jmSzLWLBgAa6++moA4UfZBoCKigpMmzYNM2bMwBtvvGFWlUkCG1ZyaG5uxne/+12sW7cOlZWVGOnT7Z988kls3LgRc+fORXV1Nf7lX/4F5eXleOuttzB9+nQcOnQI5eXlI/qNWLBz504UFxfr8+HOyJw8eRL79u3DiRMnUFlZibvvvhuyLJtVbZKo2DApisIqKyvZTTfdxL7zne+wf/7nf2ZfffXVcFc3KhYtWhRRmRlOnz7NLr30Unb48GF21VVXMcYYu/DCC1ljYyNjjLHGxkZ24YUXMsYY27ZtG9u2bZv+3VWrVrG//e1vhuuNle0j8WfYxxw4jkNubi5yc3MhiiLa29txww03YOvWraOZu+LGz3/+czzyyCPg+b4/ebgzMg0NDZg8ebK+XEFBARoaGqJbYZLwhnX59M6dO/HCCy8gKysLd955Jx599FFYLBYoioLp06fjkUceGe16jooFe2vGZL2f3Dp90M9fe+015OTkYNGiRThy5IjhMoOdkSHEDMNKDm1tbXjllVcwderUkHKe5/Haa6+NSsXiyQcffID//M//xOuvvw6Px4Ouri7ccsst+hmZvLy8kDMyTqcTp0+f1r9fX18Pp9NpVvVJojJ7v2Y0xfIxh4B33nlHP+awefNmVlFRwRhjrKKigm3ZsoUxxthnn33G5s6dyzweD/v6669ZUVERkyTJcH2xtn0kftBdmSYqLy83HGW7pKQE69atw6xZsyCKIp566ikIgmBybUmioVG2x7l43z5iHtOvkCSExCZKDoQQQ5QcCCGGKDkQQgxRciCEGKLkQAgxRMkhivrfsh1ulO2Ab7/9Fg6HY8xG6iJkMHQRVBQFbtnu6urSy4xG2Q7YtGmTPho3IdFGPYcoqa+vx1/+8hfceeedES1/4MABFBUVoaSkZIxrRogxSg5RYnTLNmA8yrbL5cKOHTvwy1/+0oyqEgIgwXYr5GsWjMl6hQMDR7MKFu6W7XCjbD/00EO4//774XA4xqS+hEQioZKDWcLdsv3iiy/qy9x11136gcqPPvoIf/7zn7F161Z0dHSA53nY7Xbcc889Zm0CSUAJlRzO18KPlYqKClRUVAAAjhw5gsceewwvvvhi2FG2g0fWfuihh+BwOCgxkKhLqOQQa7Zu3Rp2lG1CzEa3bI9z8b59xDx0toKQOKcwhm+7fHizrhs7P26N+Hu0W0FIHJEVhm+6/Th1zoPP27w4pb1cfkVf5r6FWRGti5IDIeOUpDDUdvrweZsXn5/z4FSbF1+0e+GWBh4pyEoSUJxpw8xMe8Trp+RAyDjgkxX8vcOn9wY+P+dBTYcPXnlgIshNFlE80YaZmTYUZ9oxM9OG7OShhzolB0JijEdS8FWHDye13sCpNi9qOryQlIHLFjgsahKYaENxpg0zMm3ItI9OWFNyIMREvX4FX7Z7Q3YNvu70waBDgKlpFhQH9QZmZtqQZhu7p5JTcoiSwsJCpKamQhAEiKKIqqoqtLW14aabbkJdXR0KCwuxf/9+TJgwAYB64dRzzz0HQRCwa9cuXH755SZvARmpbp+ML9q8IbsGdV1+9M8DPAd8J92KmRNtmKUdJ7hwghUOa3SHJ6DkEEXvvPMOsrL6jhQHRtkuLy/H9u3bsX37duzYsSNklO3GxkZcdtll+PLLL2nsinGkwyvrCeCUlhBOd/sHLCdywHcybPquwcxMGy6cYEOSaP5VBpQcTHTw4EH9RqzS0lIsW7YMO3bswMGDB7F+/XrYbDYUFRVh2rRpOHbsGC6++GJzK0wMnXNLIb2Bz9u8aOqRBixn4TlMn2Dt2zWYaMO0DCtsgvmJwAglhyjhOA6XXXYZBEHAj3/8Y5SVlQ06yvZFF12kf5dG2Y4NjDG0uGX9QGEgIZztHZgI7AKHCzNt2ulDNRlckGGFhR8/gyUnVHJofHVsWt78az887zLvv/8+nE4nzp49i5UrV2LmzJkhn9Mo27GFMYamHq1HcM6Dk1oiaPPIA5ZNFjnMyLRhltYbKM60YWqaFeI4SgRGEio5mCkwSnZOTg6uvfZaHDt2jEbZjhEKYzjd7ddPGwaOE3T6Bp47TLXyIb2B4ok2TE61gI/DxJ5QySGSFn4s9PT0QFEUpKamoqenB2+++SZ+8YtfYM2aNdizZw/Ky8uxZ88erF27FgCwZs0abNiwAZs2bUJjYyNqamqwZMkSU+oeb4IvLw70Br7od3lxQIZNvaow+IIip0NMmB5ezCQHWZaxePFiOJ1OvPbaa4Oe5htvmpubce211wIAJEnChg0bcMUVV+C73/0ujbI9CFlh8MoMHlmBR9LeS4o+9cj9y0KX9WrvPdoyXT4FNe1eeAwuIgi+vDhwQdGk5MRJBEZi5pbt3/72t6iqqkJXVxdee+01bN26FZmZmfppvvb2duzYsWPQddAt22NPUkID0h0UmF5Z0QKxLzDDB3LoskbB7VfG5r/maF1eHO9i4i8SeDLzAw88gN/+9rcAwp/mS2SMMTAAjEGbMkgKw987vPDJDD6Fwa9NfVpw+eR+7/stEyjr3/p6wwS5wT09Y4YDYBM42EUedoGDTeRgF3htqr63ixxsAgebtoxdW94WtLxdmyZZOFyQbh21y4vjXUz8lQJPZu7u7tbLwp3m62/37t3YvXs3AKClpWVU6xUcjAqMglMtU/qXgQV9py+Qg7+rBC0XWm7wG0HL9dfilnDDf307qts9GJ5TT9PZ9KDrC0Y9KAUOSXqZuqxa1ve9kKA3KhM5WHk6g2Mm05NDuCczBxvsNF9ZWRnKysoAAEUlC7D7+LmQlrHTK6PB5TcMbKV/cGqBqIQJxFjAAeA4gAMHjgMEjkNRuhVWnoNV4GDh1SCzCFxImVWbtwj93mufJQUFcSBA7SFlausr8qCAHWeY5AdazgDNDWDNDeAvvz6i75meHMI9mTncab7BNPdKeObTtpCyXhlodXlgsViGVb/+wchBbT3Vci7oc628XxnHAXzQd7mg7/L9lovkN4ID0+/3I9dhxStrpg5r20h8YIwBnW1q8J9pAM42AGfqwc42AmfqgXPNgBJ0Nma8JIdwT2besmWL4Wm+wUxMEnDn7AkhreMfZ87Euwf24eZbboXVYgkJstAgDA1Oo2CMJX6/H3v37h1wMRWJT8zjBpobgOZ6sOZGbdqglTUAXk/4L3MckJULTMoHlxP59TKmJ4dwysvLDU/zDWZSsoifLQh9BNZlz+7E5s2bsfePv4eiGNwQP07xPI+ZM2fSILtxgskS0HoWONsAdqYe0Fp9PQF0tg2+AkcakOMEcp1qAsh1gpvkBCY5gew8cBbrkOsUM6cyR0O8n7Yk4xdjDOjuAJobwZrr1YA/0wB2Vp2i9QwgD7xHQydagJx8YJIW9LkF4HLygdwCIMcJzpE66nWO2Z4DIeMN83rUFl878Be8C4DmRsDdM/gKMrP7gl97qe8LgMxscHx0796k5EBIhJgsA20tWtc/cOAv0PrXA+3neex7Uooa9EGtvt76Z+eBs0X+8NdooORASBDm6jI48Ke1/mebAGngA1t0gghk5wV1/Z1ql1+bIjU9Zg9wG6HkQBIK8/vUIA8c+As+BtDcAPR0D76CjIkGXf8CYFI+MHESuDi6B4aSAxm3mKKowdzdAXR3At2dYNo0tKwDcHWpR/zbWtSr3cKxJ6n7+JPy9aBXp04gJx+cPSl6GzgCiuSB3NsEuacBkjaVe5sg9TQgZ8WL518BKDmQGMAYA3weoKsvsFkgwF1deqCzkKDvAnq6Qi/uiQQvADm5od394NN+aRPGRdefMRmyuwVyTyPk3kZIQcEv9zRB8Z4b8W9QciCjismSGriu/oEeCOwutSXv38L7fcP7wWQHkJoBpKWr+/SpGUBqOuBQ50PK0jLUo/7i8K6WjSbGGJi/C5Ie/I1BiaARcu8ZgA1y6pMTICTnQUzJh5CcDyElX38fKUoOxBBjTD31FhTAfUEeVBZIAl1aWa9reD9osWrBnDEwqPX50M/hSAMnjN//wkz2Qu49owV7g54ApF51yqTBT33ytokQUvIgpji1RODUE4GQlA2OG9nxj/H7lzXScgbK7yrMrsX44/OGtu4ureWXBmmZwuE4rdVO04Od0wO8r1UPCfS0dHC28bEvPxSMKVA8rWFbf8Uz+F3EnJgcFPR5EFKcELWpkJwHXhzbU5/xlRw628D+3/kvsyYRsif1BbUjrV9LnhHUmgeVpaRG/WIdMyl+l3rQr6epr/XvDfQAzgDKILtLnAAhaZLa+ic7g3oBauvPWzNMPf4RX8khOw9cWbnZtRh/REtfkDvStf33jGFdjx9vmOIP6frLPU0hB/+Yf/BTn7x1QkjXP6T1T8oBx8duCMZuzYYjfQL4K28yuxZkHGGMQfG2hZzy62v9myC7z0J9bI8xTrD1HfAL7O8nBw7+5YG3pERvY0ZZfCUHktAYU8Bkr/byAEHvmeyFIvVo5/77Wn+5txFM9g6yVg5CUi6ElLy+oE9x6omAt2WOi1Ofw0HJgYwpxuSQAGWSF0zpm0fwZ/q0//twn4UuM+j+/SA4S5oW9Eatfy44PvZPfY6FuEoOTPFB6o7e8xTjhRrAxsEH2QtFD2KjwNSmSlDgSx4tAXgBZZB7EcYCbwUn2MEJNu1l75uKdghJk/SDfoGEwFsc0a2jCRhj8Ph64fb2IDPt/E9VA+IsOUhdX+PsITrmEFu4kCCFHrS28EEcsozBZ7wNnGgPmarrtYLj4vdMiazI8Hh70OvtQa/HhV6vC25vD9z95nu9Lrg9PUHz6jKMqcdOdt13IKLfi6vkAN4KIWWy2bUYdziODwkyXrAPMYjDBzR4a9zukw+HX/LD7VUDudfTo73Xpp7gYA6d7/W64PW5R/TbNosdybbIe0lxlRwsaRdg0iq6zoGMHcYYfH5PSKusBrEW5FqLHWi9Ay15YN4vD/MycajPOE2ypagvewqSbQ4k2xxIsqUg2Z6CpJB5B5JtWpndgSRrMoQhXk0aV8mBkEgoTIHH29sXuB6X3vV295tXgzp0XlEGjrQdKZ4XtKBOQZI9KJi1gE4ymE/WkoHdmgw+irtNlBxIXFIUGa2dZ9DQWoeGljo0tNaiua0ePZ5ueLy9YCMYmcQiWtUAtzuQZA1qxY3mtUAPtOBW0TZudrMoOZBxz+Nzo7G1Dg0ttWoyaK1DU+s38Enhr1+wW5P7AldrwZO1LntIi6130ftadcs4uKtzNFByIOMGYwxt3We1nkAdGltqUd9ai3OdxkMlZjgmwplVBGd2IfKzCpE3cSrSktNht6VA4OPniU1jhZIDiUk+yYum1m/VJNBai4aWOjS21sHt6x2wrCCIyMucAmdWIfKzC9WEkDUVKUlpJtQ8flByIKZijKGzp03fJWjUjhGc7WjUz8sHS01K70sA2nTSBOeQj8ST86O/KIkaSfajua1eO0jYd3ygx901YFme45E7cQryswrhzCqEM7sIzqxCpKVMMKHmiSmukkPujBQc+/wd2K1JsFuTtVffe4tIF+RES3dvp9oL0HYJGlrr0NxWD1kZ+ACZJFtKUAJQewS5mZNhEemWcTPF1XB49+68ZtDPeV7olzBCk0iSLdkwqejvtc/H0+mosSYrMlo6GgccJOzqaR+wLAcOWRl5WiIo1HoFRZiQmkV/zxgUVz2Hpi9c+OHaq+DxueHx9cLj64XXq753+3ohyX70errR6znP2ATnwXH8eROMLUyCCU5AVostqhe1jFSv14XG1m/6jg+01KHp3LeGV/1ZLXY1CWg9gvxy6pBUAAAPR0lEQVSsQuRPnAKbNf4eBxdLGGOQJEl/ybI8YH7q1KkRrSuueg7nG0jXL/nh9fclDo/PDY+3773b1wtv8Ge+Xu3zvgTj8fXCLw3/EthgHDjYrEmhScQWpteiJ5+UAYnJZrGDH8VTcwpTcK6zGY2tdajXE0Et2rqNn3mYmZqNfO2YQCAZTEyfNK4S32hijEFRlJCgNArUSMuG8j1ZPv/Vm5s3b45oO+Kq53A+FtECi2iBY4SnuGRZgieQZLzByaY3pNdilHyCP/P5Pfo8MLJxBmwWe8iuT7gEkzTg8yR4/d6Qi4gaW+vg9XsG/IZFsCJv4hTtbEGgRzB1SDfzmIExBo/HA6/XC7/fP6JAjbTMTKIoQhRFCIKgvxdFEbwgwivYIl/PGNYxbgmCiBQhFSn2kQ17Liuy2pPRE4wbHl9PaILxhiYbd8jn6tTrc8Pr98Dr96Czp21UtjEtZYJ2vUDg+EARcibkm3rxEGMMfr8fHo8Hbrd7SNNo43neMEBHWmZUDl5Ahx/o8HNo8ypo9cho6ZXR4pbQ6pbQ6lbft3lkKDJwe4TbQMnBRIJ+E87IWl6FKfD6PMY9GG9ob8bd73Ovzw2e49WDg9p1A/lZhUhNTh+lrQxTZ0WJKLAD7wPzkXSbjdhsNthsNlgsliEH5XCCmR+FJ3B7JAWtbhmtbgkNWpC3dgYCXkJLrwctbhkd3sj/Jhm2yJM7JYc4wHM8kmzqLkO0Mcbg8/mGHOhe72DPbQxPEAQkJSXBbrdHPLXb7RBiaIDbHr+iBrdbQmu/Fl4tV6fdvsiG+uM5INMuIDtJRFaSNk1W32cliXr5RLsIixD5WSHTk8Pp06fxD//wD2hubgbHcSgrK8N9992HtrY23HTTTairq0NhYSH279+PCRPoApixJElSxC148Lwy1PEqNZEGeHCQWyyWmDztyRhDl08JCe7WoOBvCQp+txTZOQCRR0hwZwVNs5NFZGvvJ9gECPzo/01MP1vR1NSEpqYmLFy4EN3d3Vi0aBEOHDiA559/HpmZmSgvL8f27dvR3t6OHTt2DLquX/ziFxGfpiF9AknB7x/e8x4tFktEgd1/PhaDvD+FMXR4ZD3gW0JaeO19rzr1KZGFkl3gBgR6XysfSAIiMmz8ef9GzOdVRyjr6QJc3UBPN5irq6+spxtwaWXavPBEZA9EMr3nkJeXh7y8PABAamoqiouL0dDQgIMHD+LIkSMAgNLSUixbtuy8ySEtLQ3t7QMvviGR4Xk+bCAHz/efiqLp/42GTFIY2jxal743NOD7Wn4ZbW4JETb0cFj4gS18oKufLOrlDktf0DPGAE+vNgRhC9CmBXNPF5irC6ynWwv0QID3zcPVNfwBiCNges8hWF1dHS655BJ89tlnmDJlCjo6OgCof8AJEybo8+EsX74cL7/8cjSqGld4nkdSUhKs1ti7vFxhDF6JwS0r8MoMHonBKyvwSAwemcErKepUZvAE3ksMHlnRp4GyXknBOS3w2zxyxI97SbfyfQGfrAZ8cAufZQOyFQ/sXpcatForrgdzj9aSu7rVYA+aR083MIInS0EUgZQ0wJEGOFKBlDRwKanafBqQkqoOUajPp4G7YEZkqx5+rUaXy+XC9ddfjyeeeAJpaaHXIXAcF/Y/7e7du7F7924AQEtLCzIzM8e8rolOUvqC0SszuLVpcIAGgjgQ0B4toL1BAR1c5glaR2B9HonBH2FXfag4ABPtfa18jpXBybmRCzdyZDcmyj3IkHqR6ndB6HUB5wxa78B7bWTx4R15AWCz64GrBrgWzClBAe5IBRcyry1rHbvds5joOfj9flx99dW4/PLLsWnTJgDAjBkzcOTIEeTl5aGpqQnLli3DF198Meh6Fm7aiQ03b4hGleOKxM4TzP2CONJu9mixCxzsIgebwGtTDnaRh13oe28TONgFDg7ZgwxfN9K8Lji83XB4u5Hs7kayuwt2TzdSfC4keVywuLvB9bj6WnHvCK+FSHaEBq4e4KkhgR/aqmvLWSJ7shRjDAgMEqR4wWSfOp6I4tPGEPHp44WEfhZanj7n/0b0e6YnB8YYSktLkZmZiSeeeEIv37JlCyZOnKgfkGxra8Mjjzwy6LoW7K0Z6+oSqKfO1MDkYRM5JAkcbEHBGnhvFznYtWVsglFZX5AHlyWJPGxMgt3dBUtPFzhXJ9DdCdatTtVXhzbfoQZ34P1wr07kBb2F1rvf/ebhUMtYSgqQnASWZAdLsoFZRQBSX1AGAjEkaH3aCF++kOAOLAc9gAd+jqD1jKB/osu/9sOIljM9Obz//vv4/ve/jzlz5ugXjmzbtg1Lly7FunXr8O2332Lq1KnYv3//eXcZtt1yK5atugKKYIEsWqCIFsiCVZ2KlqByq+EyiLH97WjhuUDQBgW5yCFJ4LVgV4M3ENgij4i7skxR1G73gKAODuwOsK5+Ze6e4W2M1Q6WmgaWkQaW4QBLs0NxWKEkW8CSBDCrAGYRASsPJnBgIgfGMzBOCQnCQIAODFpf9EfxCsYJfQP7CFZthC9tQB/BBk6ft/V9xltDPndceEtkP2V2chhN8jULRrYC0QJYrIBFm4pB7wPlYt97Ti+3nv97Fiu4cOuzBq0jaBluFK6yG03M6+kL4O5OwKW15l19ZcwV2rrDNcwDbrwApKaBpaZBmeAAS08CS7VDSbFCSeKh2DgwiwJFlKFwPjDmgaL0QPF3Q/F1AWyM728ICsKQAORtgGANCdLA5xgQwFYtyAOBPDDA1e8FlrWC46N3mDBmDkiOhsMZPC65+P8AfgXwy+D8MuCXwPkkcD4Z8PnB+STA5wPn9wN+v3oqSPKp3VHJr74iHFhoqFl1yFlYEIMSzsBkE5JYxOBkNXiSCpTryyuKGuSuMK17t9Zt9w1zvzwpRWvNU6Gkp4Cl28EcNihJIhQ7B8UKMFGCwktQOC8UpRdMckHxd4FJzQAMHiDr115hcIIdvDUdnDUNvDVdfVlSg0bnsvYLvv5Ba9WCdmCrDD42L8QabXHVc2h89eIIl+TUf2Deov3nUKccJwKcCC7wggBAAAceHOMB8OAUHhzjAEV9cQzgZA6cAkBm4CQGTmaArICTmJqkJKYmKb8E+BQ1Wfn9gE8G5/MDXr86L/n6EtYYnr8eNlEEUjPA0lOhZDigpCeDOWxgySKUJAGKDWAWBkXwQ+F8UJgbitwDFmjNh7O/zAngrWngLX1BHhLwhu/T1CAmIxJXPYdPaxV8d9F8MMWvHgBS/Np+pF/fV2SKH2CyWq74wDDMfVsjPIDhPtlMT1aOoPeWkGSlJir1BcbrSYtTOEBLWJwSSFQAp2iJSktYnKQAfgWcpICTZDC/rPakOK6vy54sgNk4KFYGJspQeB8UqK252mXvBJQm423waa8wODFlQBCrwR4c3MHBng5OTEmIVjoWxVXP4XwPewlQh5zXEoeWSCD3JZS+o8dBSUWfD/qeHEg4/eeNvmewzsB3xnr/eLTxltAgtwxsvTmDVj2a+8tk5BLyX4vjBHCiAMBudlUAQH0Ee3BSCUlUfoNE5Q1NVPLgPSXD5Kf4teW8ALh+wR3aevcFvDYVkqg1TwAJmRxiDcfx+kExQmJFbJ0rI4TEDEoOhBBDlBwIIYYoORBCDFFyIIQYouRACDFEyYEQYoiSAyHEECUHQoihuLq3IisrC4WFhWZXY8RaWlqQnZ1tdjXGXCJsZyxuY1ZWFiorK8+7XFwlh3gR6Q1k410ibOd43kbarSCEGKLkQAgxRMkhBpWVlZldhahIhO0cz9tIxxwIIYao50AIMUTJwQS33347cnJyMHv27AGf/eY3vwHHcWhtbdXLKioqMG3aNMyYMQNvvPFGNKs6bOG28cknn8TMmTNRUlKCrVu36uXjcRsB4+2srq7GRRddhPnz52Px4sU4duyY/tm42k5Gou6vf/0r+5//+R9WUlISUv7tt9+yVatWsSlTprCWlhbGGGMnTpxgc+fOZR6Ph3399dfsggsuYJIkmVHtITHaxrfffputWLGCeTwexhhjzc3NjLHxu42MGW/nypUr2euvv84YY+wvf/kL+8EPfsAYG3/bST0HE1xyySWGo3fdf//9eOSRR0Kez3jw4EGsX78eNpsNRUVFmDZtWkhLFKuMtvGZZ55BeXk5bDb1cXg5OTkAxu82AsbbyXEcurq6AACdnZ3Iz88HMP62k5JDjDh48CCcTifmzZsXUt7Q0IDJkyfr8wUFBWhoaIh29UbFl19+iffeew9Lly7FD37wA/z3f/83gPjaRgB44oknsGXLFkyePBmbN29GRUUFgPG3nZQcYkBvby+2bduGX/3qV2ZXZUxJkoS2tjYcPXoUjz76KNatW6eOHB1nnnnmGTz++OM4ffo0Hn/8cdxxxx1mV2lYKDnEgL///e+ora3FvHnzUFhYiPr6eixcuBBnzpyB0+nE6dOn9WXr6+vhdDpNrO3wFRQU4LrrrgPHcViyZAl4nkdra2tcbSMA7NmzB9dddx0A4MYbb9R3HcbbdlJyiAFz5szB2bNnUVdXh7q6OhQUFODjjz9Gbm4u1qxZg3379sHr9aK2thY1NTVYsmSJ2VUelmuuuQbvvPMOAHUXw+fzISsrK662EQDy8/Px17/+FQDw9ttvY/r06QAw/rbT7COiiWj9+vUsNzeXiaLInE4n+8Mf/hDy+dSpU/WzFYwx9q//+q/sggsuYBdeeKF+FDzWGW2j1+tlGzduZCUlJWzBggXs8OHD+vLjcRsZM97O9957jy1cuJDNnTuXLVmyhFVVVenLj6ftpCskCSGGaLeCEGKIkgMhxBAlB0KIIUoOhBBDlBwIIYYoOZBRU1dXZ3in6X/8x3+gpKQEPM+P2+cpJiJKDmTMzZ49G6+88gouueQSs6tChoCSAxlVsizjrrvuQklJCVatWgW3243i4mLMmDHD7KqRIaLkQEZVTU0Nfvazn+HEiRPIyMjAyy+/bHaVyDBRciCjqqioCPPnzwcALFq0CHV1deZWiAwbJQcyqgIPcgEAQRAgSZKJtSEjQcmBEGKIkgMZc6+++ioKCgrw4Ycf4qqrrsLll19udpVIBOiuTEKIIeo5EEIMUXIghBii5EAIMUTJgRBiiJIDIcQQJQdCiCFKDoQQQ5QcCCGGKDkQQgxRciCEGKLkQAgxRMmBEGKIkgMhxBAlB0KIIUoOhBBDlBwIIYYoORBCDFFyIIQYouRACDFEyYEQYoiSAyHE0P8H62pjOk5qbEgAAAAASUVORK5CYII=' 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Dh48CCysrIwatQoHXtOohmFQwhMmjQJR48e7da+bdu2gPPMnj0bhw4dGshuEdKjsDjmcPHiRdxyyy0YN24c8vLy8OmnnwZ8pgMhJDTCIhweeeQRXH/99Th58iQ+//xz5OXlBXymAyEkNHQPh5aWFhw8eBDLli0DABiNRiQmJgZ8pgMhJDR0D4eqqiqMGDECd999N6ZOnYp7770XHR0dPT7TgRAy8HQPB0mScOTIETz44IM4evQoYmNju+1C+D/TwdfmzZtRUFCAgoICnDt3LhRdJiQq6B4OmZmZyMzMVE4nvuWWW3DkyJGgnukAAKWlpaioqEBFRQVGjBgRsn4TEun6FA4vvfRSv/16kJqaiqysLHz55ZcAgP3792P8+PHKMx0AqJ7pMJi5XC5MnToVP/jBDwAEfso2AKxevRqjR4/G2LFjsWfPHr26TKJYn8KhoaEB3/3ud1FUVITy8nJc7t3tX3rpJRQXF2PSpEmorKzEL37xC5SVlWHv3r0YM2YM9u3bh7Kyssv6jnCwceNG5OXlKe8D/SJz4sQJbN++HcePH0d5eTkeeughuFwuvbpNohXrI1mWWXl5ObvtttvYd77zHfbzn/+cff311339uH4xffr0oNr0UFNTw6655hq2f/9+duONNzLGGLviiitYXV0dY4yxuro6dsUVVzDGGFu1ahVbtWqVMu+8efPY3//+d83PDZflI4OD0yUHPW2fz5DkOA6pqalITU2FKIpobm7GLbfcgsLCQqxbt64/8ysi/PSnP8W6devQ1tamtAX6Raa2thZXXnmlMl1mZiZqa2tD22EyqDlcMr5pdeJ0i6Pr76IDZ9oc+EfxmKA+o0/hsHHjRrz++usYPnw47r33Xjz33HMwGAyQZRljxowJ23CYuu3UgHzu0aU9/2Pv3r0bycnJmD59Og4cOKA5TU+/yBASSKck40yru/C9IVDV4kBNmxOuy3yWXZ/CoampCW+99Rays7NV7TzPY/fu3ZfXowj0ySef4J133sF7770Hm82G1tZW3HHHHcovMmlpaapfZDIyMlBTU6PMf/bsWWRkZOjVfRIGOpwyqlsc+Jen+L1hUNvuhFYG8ByQFW/AqCFG91+i+zUnwRj0d9KzMkPswIEDWL9+PXbv3o3HHnsMw4YNQ1lZGdasWYOmpiasW7cOx48fx+23347Dhw+jrq5OOWgpCEK3zwu35SOXp9XuUu0KeIPgW6ukOb3IAVkJ7sLP9QbBECOyEwwwi5d3pgJdlamjsrIyzads5+fno6ioCOPHj4coinj55Zc1g4EMXk02SVX83jA436n9q5SB55CTYHAHQGJXCIyMN8IgDMzuKG05DHKRvnyDGWMM5ztd3Q4Knm5x4KJdOwTMAqdsAeT67BJkxBkg8qE9JkVbDoRcJsYYvrVK3Q4Knm5xoM0ha85jETmfYwEmZUsgLU4EHyYHpikcCAmSS2ao75BwusWu2gqoanHAKmlvgMcbeXzH76Bg7hAjUixi2P86ReFAiB9JZjjb5uy2K1Dd6oA9wO+DSWZBdUDQGwbDzELYh0AgFA4kavmeKFTlc1ygutUBSXtvACNiBE/hd+0K5A4xYqg58g4YUziQiOZ0MZzrlNBglVDf7lSFQE8nCqXFiuotAc8uQbwx8kIgEAoHMmg5XDLOWV341iqh0epEg1VCQ4c7CBqsEhqtEi50ujRPEgIADu4ThfxDIDfBCItB97sZ6I7CIYRcLhcKCgqQkZGB3bt3Y+XKlXjttdeU+1CsWrUKN9xwgzL9N998g/Hjx2PlypW6PXNDL3aXjEZPkXsLvtGv+Jtsl75SleeAETEiUizuv5wEg/ILQX+cKBTJKBxCyHvJdmtrq9Km9ZRtr+XLlytP444kNknuKnaNtf23HVLA8wB8KYUf6y78ZE8ApMZ2DQ+LEWEI8fkBkSKiwkFm7iPNoT5ZJBhnz57Fu+++iyeeeAIvvPDCJaffuXMncnNzERsbG4Le9Z9Op4zGTneBdxW7UwmCRquEi/YAR/t8iBww3CIi1Vv0PgGQajEgJVZEklkIy//WkSKiwuFkkx3f/cPX4DnAyHMwCBwarBK+araDB8Bx7v1MjuM8r+hq92nj4F4rceB85vG2q6fzzserpus+n9Yl24D7Rjevv/46CgoK8Pzzz2Po0KFob2/H2rVrsXfv3gF7+G9fWJ2ysoZv6HBqrv1bA5z040vkgWSfNX6KxaAEgDcMkswCBCp8XUVUOPCc+09mgM3FYHMxyIxBkt2HpMYuu2pAvvfLLZ/2OP7AnvdgSBiG2Nx8HP/4IDqcMk4123H97feg+MePg+d5vPCfK3H/Tx7F+pc34z//z5MoeeDHaIUJbQ4XmMOFhg6nOog8odMpydh7pg0GnoNR4JRQNHred2v3DPv/9t7ucF1yU7/deenCN/CcahO/KwBEJHuKf6hZCJuzAElgERUO45JMqLhjDCSZwelicMgMc140YHSiEQN5BYlZ5MAYwAD3KwMYGGRP29HDn+KD8t04uK8cdrsdHW2tWF56F9a++ls4AUAGbiq+Gw/dvgjtThkV/ziM3TvfwrNP/hxtLS3geB6SYETxvQ92++6LdhceP/htr/ts8AkPp8zQEUThmwSuq+i9m/g++/cpnsIfrCf9ELWICgcvkecg8hxi4F7LGgXPEemd3Z9X2R8u9ajbzRvWgW1YB8bcl2w///x6/GX7H1BXV4/UtDQwBvz3vt2YNHECMuMMeP/AQSVg1jz7DCxxcXjoxz/2hA/rCiEAMSKPuSPjlDB0uBicnleHT0j6tjvlrj8vs6fwfYvd+9672Z9o4qnwo0hEhkO48e4OgAMEngPPcTAJPP7vL8q6PWU7waQ+ySbGwCPWwGOERfs/VaJJwPqr03rVH8Z8AsTFIPAcEoxU+JGI2TuBs9VgNaeBmtNgNach/GJDUPNSOITY7NmzMXv2bAA9P2Xba+XKlf3eB47zHHuInpP9Ih6ztgNnqzwhUAV21h0GaKxDX/epKRwIGURYW4tPCJxWXnEhwOMiBRFIHwlkjQKXNQrIzA36uygcCAkzjDGgpbmr+M/6hMDFC9ozGYxARg64rFwg0xMEWaOAtCxwoqFP/aBwIEQnjDGg6Zw7BM76bglUAW0XtWcymYHMXKX4lRBIzgDXz7cSpHAgZIAxWQbOf6vaDXCHQRVgbdeeyRIHZOWCy/QJgcxRwIhUcHxorgehcCCknzCXC2isVYdAzWmgthqwdWrPFD/EXfyZflsCSSN0//WIwoGQXmKSE6iv8WwBVKlDwOnQnilxmGoLQAmBIUN1D4FAKBxCJCcnB/Hx8RAEAaIooqKiAk1NTbjttttQXV2NnJwc7NixA0OHDgXgfsr2li1bIAgCNm3ahOuuu07nJYg+zOkAas/4HQ84DdR9A7i0nyOBYSmqLQDvLwRc/JDQdr4fUDiE0AcffIDhw4cr771P2fY+1GbNmjVYu3at6inbdXV1uPbaa/HVV1/RsysGiNaJQjhbBXxbA8gBTitPyeh+YDAzF5wlLrSdH0AUDjratWuX8uzMkpISzJ49G2vXrsWuXbuwePFimEwm5ObmYvTo0Th8+DCuumpgLhyLBowx98G/2mqwmirVLwQBTxTiefc5Apl+WwIZOeDMMaFfiBCjcAgRjuNw7bXXQhAE3H///SgtLY36p2wzWQYcdsBhA+w297Dd5nnvHma+bcqwuo1pzav1Goj/iUJZo8Bl5gLp2eCMptD9g4SZqAqHurcHZs2b/qOeL9kGgI8//hgZGRlobGxEYWEhxo0bpxofLk/ZZi7JU2iBirLTp2DtSpsyjd3uKdhO9Xyq4vW0BTp4N1BMZvdJQf4HBS/jRKFIFlnhUH0KrmXXq9suNIJVfzWgXxvM56d7phsB4KY5s/BZ+btISRqKusMfIy05GfWNjUgemghW/RXSLSZ8c+woWPUMAMDZU18h/cZ52t9zobH7MveW7OoqXCnAgbaBYjQDJlOAVzNgNIHzvLrf+w53tXHeYZMJMMZ4XtXzhOr8AL0wxsCkDrhs5yHbzsNlu6D5mlz4p6A+L7LCQXJ2P8dcdin/w6dN3DJA39tzQXVYrZBlhvi4WHRYrdh78GM8+fAD+OE1c7D1z2+i7P77sPXPb2LB3DmAJGHBnKtRvPwxLC9ZirrGRpyqqsaM/PHa3yO7Ap9X3xcc163wlPeeNk6jTZnOU5Sc/7zK9Op5w2FrKdwxxiA7WvwK/Txk24WuV7u7nbns/fa9YRMO/ndm7ulnvoByxoB/7a/qtuvmA9ljBq7jQWg4fRqLbr0VACBJEpYsXozrl96D796wELfdfjt+M38hskeOxJ/++EcgKQn52WNw65JK5C+4GaIg4P+98gqEUeO0P3xYcvdl7i2B71rbigYq2BBhzAXZ3hxwDd8VABcAFtwWHSeYwZuHQzAPB28eBsE8zPO+6zVYYfOU7RdeeAEVFRVobW3F7t278fjjjyMpKUn5ma+5uRlr167t8TPoKdskHDDZCdnWBJfWGt52HrL9gicAmgBc+g5cAMAZ4iCY/AvdGwBdbZxo6bdwD4stB607Mwf6mY8QvTCXDS5VoWtv4suOABdNaeCNiUqBa6/ph4M3DQMvmgdwybSFRTho3Zk50M98/jZv3ozNmzcDAM6dOzfwnSURR3Z2KJvz3dfw5yF3nofLfgHMGeAiqW548Kahmmt4/yDg+PD9lUT3cNi9ezeSk5Mxffp0ZUvBX08/85WWlqK0tBSAexObECZL7gN4jhbIjlafYd+Del1BwFwBLoryx4megvdf049Qr/FNQ8Fxg/9sVt3D4ZNPPsE777yD9957DzabDa2trbjjjjuQkpKC+vp6pKWlob6+HsnJyX36fJ7n4XQ6YTCEb0L3ldPpBB/BP88xxsCc7V2F7WztVuxMed/VziRr776IN3r22wOt4YeDNw8Hb0wAx0Xuv7e/sDkgCbjvzLx+/Xrs3r0bjz32GIYNG6YckGxqasK6det6nF/r4Nydd96J2bNnY+nSpREVEE6nE9u2bcOBAwfw+uuv692dS2Iuu8aaXHvYXfCtkJ2tALv0Y/G648EbE9zFbEwAbxyi/KnX8O5XzhBHv9Bo0H3LIZCysjIUFRVhy5YtyM7Oxo4dO/r0OevXr8eKFSvw6quvQg50Ec0gxPM8xo0bF/InYjHmAnO0qzfVA6zVZUersmZnrh5OX+4BJ1o8he4ubs6QoHrf9dfV7i726FnDD5Sw2nK4XNOnTsKhD9/RuxuDj+y/Vg+8dmfONiDgQ+17wAkaxewpeGXYr+gN8eAEY78vbrRySk60WZuRlBDcLnrYbjn0hdR2Guf2L9G7GxGPM8Sr1tT+Be9eu6vb+/P3d6Jmd9rQ2tGM1o4mtHQ0e4ab0dLR5B62NqOloxlWm/vXwE2P7AzqcyMqHDjeCDEuW+9uDD68odumuaqwfdsM8eD4iPrfJiwxxmBzWJUi7yp6d8G3WLsCwO4I7tcWnuMRb0kMug8R9V9ZTBiF5MLteneDkIAYY+iwtXVby7dam9HS7i1896tTCu6qVUEQMcQyFAmxSUiIHYohnlf3sPs1wZKEuJh48HzwP7FGVDgQohdZdqG9s9VT8E3Kq+9mvTcIXHJw10kYDWZP0fv+JWGIXwBYTAPzawuFAyE9cLkktCqb8L5r+ia0tHet5dutLZBZcL+GxRgtPa/lY5MwJDYJZqO+d5uicCBRySk5lIJ3H7hr6jqQZ+0KgfbOlqA/MzYmwW9Nn+Qp+CSfzfuhMBoGx92lKBzIoCczGZ32DnR0tqHD1garzf3a0dkGq71Nae/obFUKv9PeEdRncxyP+JghSIgbiiGWJNUmvm/hx1sSIQqRc5IdQOFAwghjDA7J3r3IvcNKe7vS3mFrQ6etHayX514IvIgES2LPa/nYoYiPGdKrg3iRJKLCIXdGIt46+BuIggGiIHpeff+02tztBtGoOY0giODpbLtec8ku1Rrcv6ittlbNdsnl7NP3xRgtsMTEI9acgFhzvPsvJh4WUxxiY9zvLeZ4JQAs5jj673oJERUOaWPjcOBo/58hKfBiz2EjGnsMnkv904d6AAAPQklEQVS1GcRg53O3h3JN5v69vVO1Fu/obNVcg1t91vidjl5e/ORhEIyeIo+HxRzXVeieYvcWubfN4plOiNK1+0CKqHA4fbgZy3/2KCTJCcklQXI5/f56bnO6HN2mcbkkuGT3n93Zt+sD+hvP8V1hEXSwaLcZRCNkWe62Ga8Uu70dstz7i584jofFFOsu4Bh1MXcvdm8IJAyag3XRIKLC4dsvO3DNtJv69TMZY70IGp8/KbhA6gomZ7dQ6voM9Xwyk+GQ7HBIdqD/7icakMlgVhd2TNewau0e07VJbzZZaLN9kIuocBgIHMfBILo3/cMBYwyy7FIFhnuLxy94AgSLVhvHARaffXWl4GPiYTHFh82yk9CicBhkOI6DIIgQBBEmRP4j2Yh+aLuPkCjAGIPdbkdLS/AnddGWAyGDhCzLsNvtsNlssNlsynBPbb6v3lu3rFixIqjvo3AgJIQkSdIs6mCK3eG4vGeLGgwGmM3B3+KewoGQXmCMwel09riW7qlNusxnkZpMJpjNZpjNZmU4mDaTyQRB6N25IBQOJOp49797W9je18u5FynP80EXtW9he4dDeTctCgcSVlwuFyRJgiRJcDqdyvCl3vuP823zHect8MshimKf1+AGw+B5FimFA+kRY0xVsANVtN6/UN0h3Gg09qqofYdFMTrKJqKWctasWfjLX/6idzcGHe9+dKCCDuUNyjmOgyiKEEURBoNB9er759/W03vfYW+hD4aHAUkyg8PFYHcx2F2y57V7m+q95JlGZp5h2We8e9qN16QH9f0RFQ7p6emorq7WuxsRh+f5SxZdMEUcTAHzPB9Wm92M+Rdk94LrXqTuYZt3OonBLjM4XDJsknucQ2aeYdlvHnebw8Ug6fzQiIgKhw8//BAbN27UuxuDjm/xa62xB8Na1p9NktFoldBolfCtVUJDh4TznZKn+LoKt6sgPYUtyT6F6y5ivXAATAIHs8jBKPAwCRxMAgej59Uk8DAKHMw9tvHKPGaRg5EPPngjKhzq6+sxatQovbtBBlinp/AbOtyF32iV0GCV0Ngh4VurE41WCRft/XfswsBzqsJ0Fx4Pk8jBxHuKUORg4j1tfoWpLmre73MCtIk8RA66bkVFVDjIk+bhv//VijgDj1gDj1gj3zVs4GEWAj+tm4QHq1NGg7fYrRK+7XAqxd/gCYRWx6ULX+SAERYRKRYRyRYRqbEihseIsIg+Bcy7izBQAXvf82H6/wxjDHBJgNMB2O2A0w44PH+qNgeYw+Zuc9jBzy8K6vMj6nF4U7ed6nG8yEEJCv/giFNeBfersfs473CMSCHTFx1OWbPYG3zW/m3BFD4PpehTLCJSYw3KcIpFREqsiCSzELKiZrKsFKGqOB02d5vT7ilUT5F62xx2v/Fdbcy3rVvx+8zfh193hJ1Hg5ouorYcuM//hhtuuhntThkdnj/vcLvDvS/Z4pDR4pCB4O4vqon3CRnNgDEGHucdjjMKiBHDd63UG4wxtDtlz5peXey+xd/uvPT/yEaeQ0psV+F71/q+xT80yMJnsgx0tAFtF4H2Vvef3QamKk7fYla/Z6r3WsXvGZb6dmu7fsELgNEEGI2A0ex+NZjUbQYjON/xQYqoLYeCggJUVFQEHO9wyehwMr/gcCnD7Q51oGgFTIdThs3VP/9kHHy2ZLRCJMDWTVfAuIctIg+hFweaeoMxhjaHHHBN39DhRINVgjWIQ+smgXMXu0VEcqzPmt6ztk+2iBhqEjS3ypi9E2htAdpalGJnbRe73re1gLV5x3v+Olr7tGbtE6MJMBg9Rekd9hSjTxvn22YwdRvvnYcL9DkGdRBwwsCt3yNqyyFDYGDnGwCDwf2PajACYtcZaUaBh1EAhpov736DTpnB6h8cPuGhDhiXe9ihnrbDKaNTcq9xg1mjXopF5LoFSKyRR7xnN0lrXJynTWboVuxd+/xSUGFoFtxrfN+C7woAA1JiRQwx8oDscq/BvQXcchHsbFdBs7YWyErRtwDtnldHH89qtMQB8UPcf7EJgMkMzmRSr12VYXWbqkBV8/gVrcEYtruZjDGASWAuO5jLASbbIVrSgpo3orYcXDdN1R4hesPC8yoa1QFiMLj/w3vaOE+oqMcHms8zvW+b6Def37yc56dBSWbolGRVeGjtEmkFi//WzUCKETn32t53/z5GQJrgQBrrwAipAxZbq3qt3e4tdk+ht3rW8Nb2vnVCNHiKPFEpdi4+EUgYAsR536vHIy4BXJjcxYoxl7s4XXZAdniK1Q4mO3po9xa0A1C1qcdDNa3dp93z6nfb/vQffRpUnyNqy6FWAjKSRwBOp3ufUHIAkuTeJ5ScQHAPI+7lExB6Pz0EETAYwBmMsIgGWLxrIv8Q82759BRSZhNYnAEOXoSdE2HjDLByIjo5EZ0Q0QEBHRDRwUS0QUArE9Ami2hlAi7KAi66BHBMxii+E1mcFRnMihRXB4ZJ7RjqaEO8ow2GljagumvzXSl+nysMg/434DggLsGngDWKOj4RXHyCT1uie41/mWtnxpinkBx+xaVdkMxl9ytKh2o6pSg1xkMZ9nwHu7yrMS8LJ4ITjOAEEzg++Bv4RtSWg9YxBybL7mBwOtSh4R32tkvuA0zsUtP4fo7nlUkOzxFk//kCfFakMMcoa21lTR4/RPWnaosbAsTGg/O5dJgxWVkbwmUHc9k8721da0nVsKfgJP/pbD7jfKaRfT+3+1o0dDhwghHgTapC9Q6D97QJRnDKsAkcbwQ8r1rju8YZlemVEBA87VzfdqN133KoqanBnXfeiYaGBnAch9LSUjzyyCNoamrCbbfdhurqauTk5GDHjh0YOnRorz+f4/mu/cRgpu/1N/QOY8yzNeMfNPbuYeQJFnbJkHKoxrNehZvdfcRbWZsngsXHAwnxYPGxQJwFLNYCxJjAYsxgZgOYWQQzCgAnaxeoqw3Mdd497LCBNdrB6rWLHXKIw5I3dCsm+BWq73j4Faq3QMH7Fri6aKFV/JwYtsclAtF9y6G+vh719fWYNm0a2traMH36dOzcuRO/+93vkJSUhLKyMqxZswbNzc1Yu3Ztj591+NdXIjs7O0Q9jyCy5LMJbAfkEP80xxvBCWZPkZm7ilE17N+mNb16GnSbru9r0Wikezj4W7hwIR5++GE8/PDDOHDgANLS0lBfX4/Zs2fjyy+/7HHeurevClEvIx3XrfAQsDh7WcS8CZxo9rx61sz0fIuwFFbhUF1djVmzZuGLL77AyJEjcfHiRQDuTfGhQ4cq7wNZOK8Ab775Zii6Glk4Xh0EfPj+NEdCR/djDl7t7e24+eab8eKLLyIhIUE1juMCn668efNmbN68GQBw7tw5iPG0W0FIfwiL7Tmn04mbb74ZxcXFWLRoEQAgJSUF9fX1ANzHJZKTkzXnLS0tRUVFBSoqKjBixIiQ9ZmQSKd7ODDGsGzZMuTl5WH58uVK+4IFC7B161YAwNatW7Fw4UK9ukhIVNL9mMPHH3+M73//+5g4caJyU5FVq1Zh5syZKCoqwjfffIPs7Gzs2LEDSUlJPX7Wpa6tIIQET/dw6E8UDoT0H913Kwgh4YnCgRCiicKBEKKJwoEQoonCgRCiicKBEKKJwoEQoonCgRCiicKBEKKJwoEQoonCgRCiicKBEKKJwoEQoonCgRCiicKBEKIpou7nMHz4cOTk5Ojdjct27ty5qLjlXTQsZzgu4/Dhw1FeXn7J6SIqHCJFtNy0JhqWczAvI+1WEEI0UTgQQjRROISh0tJSvbsQEtGwnIN5GemYAyFEE205EEI0UTjo4J577kFycjImTJjQbdzzzz8PjuNw/vx5pW316tUYPXo0xo4diz179oSyq30WaBlfeukljBs3Dvn5+Xj88ceV9sG4jID2clZWVuLKK6/ElClTUFBQgMOHDyvjBtVyMhJyH374IfvnP//J8vPzVe3ffPMNmzdvHhs5ciQ7d+4cY4yx48ePs0mTJjGbzcZOnz7NRo0axSRJ0qPbvaK1jO+//z6bO3cus9lsjDHGGhoaGGODdxkZ017OwsJC9t577zHGGHv33XfZ1VdfzRgbfMtJWw46mDVrlubTux599FGsW7dO9dDgXbt2YfHixTCZTMjNzcXo0aNVa6JwpbWMv/rVr1BWVgaTyQQAyvNPB+syAtrLyXEcWltbAQAtLS1IT08HMPiWk8IhTOzatQsZGRmYPHmyqr22thZZWVnK+8zMTNTW1oa6e/3iq6++wkcffYSZM2fi6quvxj/+8Q8AkbWMAPDiiy/iscceQ1ZWFlasWIHVq1cDGHzLSeEQBqxWK1atWoVnnnlG764MKEmS0NTUhEOHDuG5555DUVERWAT+WParX/0KGzZsQE1NDTZs2IBly5bp3aU+oXAIA//6179QVVWFyZMnIycnB2fPnsW0adPw7bffIiMjAzU1Ncq0Z8+eRUZGho697bvMzEwsWrQIHMdhxowZ4Hke58+fj6hlBNxPhV+0aBEA4NZbb1V2HQbbclI4hIGJEyeisbER1dXVqK6uRmZmJo4cOYLU1FQsWLAA27dvh91uR1VVFU6dOoUZM2bo3eU+uemmm/DBBx8AcO9iOBwODB8+PKKWEQDS09Px4YcfAgDef/99jBkzBgAG33LqfUQ0Gi1evJilpqYyURRZRkYG+/Wvf60an52drfxawRhjv/zlL9moUaPYFVdcoRwFD3day2i321lxcTHLz89nU6dOZfv371emH4zLyJj2cn700Uds2rRpbNKkSWzGjBmsoqJCmX4wLSedIUkI0US7FYQQTRQOhBBNFA6EEE0UDoQQTRQOhBBNFA6k31RXV2teafrnP/8Z+fn54Hl+0N5PMRpROJABN2HCBLz11luYNWuW3l0hvUDhQPqVy+XCfffdh/z8fMybNw+dnZ3Iy8vD2LFj9e4a6SUKB9KvTp06hX//93/H8ePHkZiYiDfffFPvLpE+onAg/So3NxdTpkwBAEyfPh3V1dX6doj0GYUD6VfeG7kAgCAIkCRJx96Qy0HhQAjRROFABtzbb7+NzMxMfPrpp7jxxhtx3XXX6d0lEgS6KpMQoom2HAghmigcCCGaKBwIIZooHAghmigcCCGaKBwIIZooHAghmigcCCGaKBwIIZooHAghmigcCCGaKBwIIZooHAghmigcCCGaKBwIIZooHAghmigcCCGaKBwIIZooHAghmigcCCGaKBwIIZr+P1lsy0HrHswVAAAAAElFTkSuQmCC' 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' 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' 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' 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' 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' style='max-width:100%; margin: auto; display: block; '/>\"};\n",
       "    var dim_vals = ['0.0'];\n",
       "    var keyMap = {\"('0.0',)\": 0, \"('50.0',)\": 1, \"('100.0',)\": 2, \"('150.0',)\": 3, \"('200.0',)\": 4, \"('250.0',)\": 5, \"('300.0',)\": 6, \"('350.0',)\": 7, \"('400.0',)\": 8};\n",
       "    var notFound = \"<h2 style='vertical-align: middle>No frame at selected dimension value.<h2>\";\n",
       "    function create_widget() {\n",
       "        setTimeout(function() {\n",
       "            anim81a8c5c1d17c4dce874495da08f55fdf = new MPLSelectionWidget(frame_data, \"81a8c5c1d17c4dce874495da08f55fdf\", widget_ids,\n",
       "\t\t\t\tkeyMap, dim_vals, notFound, false, \"default\",\n",
       "\t\t\t\ttrue, \"./json_figures/\", false);\n",
       "        }, 0);\n",
       "    }\n",
       "    \n",
       "    create_widget();\n",
       "    \n",
       "})();\n",
       "</script>"
      ],
      "text/plain": [
       ":HoloMap   [h2]\n",
       "   :NdOverlay   [f]\n",
       "      :Curve   [h1]   (y)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table.to.curve(kdims=[\"h1\"], vdims=[\"y\"], groupby=[\"f\", \"h2\"]).overlay(\"f\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df3 = df2.rename_axis(\"f{}\".format, axis=1).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import statsmodels.formula.api as smf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>           <td>h1</td>        <th>  R-squared:         </th> <td>   0.492</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.341</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   3.269</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Tue, 01 Aug 2017</td> <th>  Prob (F-statistic):</th>  <td>0.00979</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>19:49:10</td>     <th>  Log-Likelihood:    </th> <td> -155.88</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    36</td>      <th>  AIC:               </th> <td>   329.8</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    27</td>      <th>  BIC:               </th> <td>   344.0</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     8</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>  123.1721</td> <td>   15.595</td> <td>    7.898</td> <td> 0.000</td> <td>   91.174</td> <td>  155.170</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f151</th>      <td>   -2.9281</td> <td>    8.726</td> <td>   -0.336</td> <td> 0.740</td> <td>  -20.832</td> <td>   14.976</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f200</th>      <td>   -3.2880</td> <td>   10.082</td> <td>   -0.326</td> <td> 0.747</td> <td>  -23.975</td> <td>   17.399</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f250</th>      <td>   27.9380</td> <td>    8.939</td> <td>    3.125</td> <td> 0.004</td> <td>    9.597</td> <td>   46.279</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f303</th>      <td>    8.8429</td> <td>    6.145</td> <td>    1.439</td> <td> 0.162</td> <td>   -3.765</td> <td>   21.451</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f357</th>      <td>   -6.5183</td> <td>    6.972</td> <td>   -0.935</td> <td> 0.358</td> <td>  -20.825</td> <td>    7.788</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f400</th>      <td>  -15.1535</td> <td>    8.635</td> <td>   -1.755</td> <td> 0.091</td> <td>  -32.871</td> <td>    2.564</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f454</th>      <td>   -6.3319</td> <td>    8.326</td> <td>   -0.761</td> <td> 0.454</td> <td>  -23.415</td> <td>   10.751</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f500</th>      <td>  -15.4326</td> <td>    8.027</td> <td>   -1.923</td> <td> 0.065</td> <td>  -31.902</td> <td>    1.037</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 3.525</td> <th>  Durbin-Watson:     </th> <td>   0.805</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.172</td> <th>  Jarque-Bera (JB):  </th> <td>   1.569</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.047</td> <th>  Prob(JB):          </th> <td>   0.456</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 1.982</td> <th>  Cond. No.          </th> <td>    689.</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                     h1   R-squared:                       0.492\n",
       "Model:                            OLS   Adj. R-squared:                  0.341\n",
       "Method:                 Least Squares   F-statistic:                     3.269\n",
       "Date:                Tue, 01 Aug 2017   Prob (F-statistic):            0.00979\n",
       "Time:                        19:49:10   Log-Likelihood:                -155.88\n",
       "No. Observations:                  36   AIC:                             329.8\n",
       "Df Residuals:                      27   BIC:                             344.0\n",
       "Df Model:                           8                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept    123.1721     15.595      7.898      0.000      91.174     155.170\n",
       "f151          -2.9281      8.726     -0.336      0.740     -20.832      14.976\n",
       "f200          -3.2880     10.082     -0.326      0.747     -23.975      17.399\n",
       "f250          27.9380      8.939      3.125      0.004       9.597      46.279\n",
       "f303           8.8429      6.145      1.439      0.162      -3.765      21.451\n",
       "f357          -6.5183      6.972     -0.935      0.358     -20.825       7.788\n",
       "f400         -15.1535      8.635     -1.755      0.091     -32.871       2.564\n",
       "f454          -6.3319      8.326     -0.761      0.454     -23.415      10.751\n",
       "f500         -15.4326      8.027     -1.923      0.065     -31.902       1.037\n",
       "==============================================================================\n",
       "Omnibus:                        3.525   Durbin-Watson:                   0.805\n",
       "Prob(Omnibus):                  0.172   Jarque-Bera (JB):                1.569\n",
       "Skew:                           0.047   Prob(JB):                        0.456\n",
       "Kurtosis:                       1.982   Cond. No.                         689.\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+UU32W8A33P3b0XCQx3euWEM+tjPcfRD4Gwo17yCP7YziWGtxbLOc6P8W2Glm\nLWa2HNhPYeOTIJnZ6ujkFma2Gvgg8MrCz0rdSeAT0e1PAP89xVhKmvnFjvwygRzf6CTc08Dfufvv\nFd0V3PGdL9aAj22Tma2Lbq+k0JzxKmEe2zljrcWxzWzXDUDUhvQk0AAccfdDKYc0LzO7ncIsHgob\nvvxZSPFa0QYzwFsUNpj5c+AE0ExhddGPu3sQJ0DnifdBCh9/HTgPfLqoTpsaM7sf+D/Aj4DpaPjz\nFGrfQR3fBWI9QJjH9h4KJ1sbKExcT7j7fzCz9YR3bOeL9U+p8rHNdKIXEZHSsly6ERGRGJToRURy\nToleRCTnlOhFRHJOiV5EJOeU6EVEck6JXkQk55ToRURy7v8DIlk8gYFV+58AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f29d5c92c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res = smf.ols(\"h1 ~ f151 + f200 + f250 + f303 + f357 + f400 + f454 + f500\", df3).fit()\n",
    "pr = res.get_prediction()\n",
    "pl.plot(df3.h1)\n",
    "pl.plot(pr.predicted_mean, \"x\")\n",
    "res.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>           <td>h2</td>        <th>  R-squared:         </th> <td>   0.988</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.985</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   279.5</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Tue, 01 Aug 2017</td> <th>  Prob (F-statistic):</th> <td>6.48e-24</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>19:49:25</td>     <th>  Log-Likelihood:    </th> <td> -146.35</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    36</td>      <th>  AIC:               </th> <td>   310.7</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    27</td>      <th>  BIC:               </th> <td>   324.9</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     8</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td> -177.3380</td> <td>   11.965</td> <td>  -14.821</td> <td> 0.000</td> <td> -201.889</td> <td> -152.787</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f151</th>      <td>    4.3613</td> <td>    6.695</td> <td>    0.651</td> <td> 0.520</td> <td>   -9.376</td> <td>   18.098</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f200</th>      <td>   -2.5442</td> <td>    7.736</td> <td>   -0.329</td> <td> 0.745</td> <td>  -18.417</td> <td>   13.328</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f250</th>      <td>   -7.2397</td> <td>    6.858</td> <td>   -1.056</td> <td> 0.301</td> <td>  -21.312</td> <td>    6.832</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f303</th>      <td>   -2.8680</td> <td>    4.715</td> <td>   -0.608</td> <td> 0.548</td> <td>  -12.542</td> <td>    6.806</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f357</th>      <td>   13.2785</td> <td>    5.350</td> <td>    2.482</td> <td> 0.020</td> <td>    2.302</td> <td>   24.255</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f400</th>      <td>    1.3663</td> <td>    6.625</td> <td>    0.206</td> <td> 0.838</td> <td>  -12.227</td> <td>   14.960</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f454</th>      <td>   -1.2955</td> <td>    6.388</td> <td>   -0.203</td> <td> 0.841</td> <td>  -14.403</td> <td>   11.812</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>f500</th>      <td>    7.7947</td> <td>    6.159</td> <td>    1.266</td> <td> 0.216</td> <td>   -4.842</td> <td>   20.431</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 0.193</td> <th>  Durbin-Watson:     </th> <td>   1.138</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.908</td> <th>  Jarque-Bera (JB):  </th> <td>   0.139</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.131</td> <th>  Prob(JB):          </th> <td>   0.933</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.845</td> <th>  Cond. No.          </th> <td>    689.</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                     h2   R-squared:                       0.988\n",
       "Model:                            OLS   Adj. R-squared:                  0.985\n",
       "Method:                 Least Squares   F-statistic:                     279.5\n",
       "Date:                Tue, 01 Aug 2017   Prob (F-statistic):           6.48e-24\n",
       "Time:                        19:49:25   Log-Likelihood:                -146.35\n",
       "No. Observations:                  36   AIC:                             310.7\n",
       "Df Residuals:                      27   BIC:                             324.9\n",
       "Df Model:                           8                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept   -177.3380     11.965    -14.821      0.000    -201.889    -152.787\n",
       "f151           4.3613      6.695      0.651      0.520      -9.376      18.098\n",
       "f200          -2.5442      7.736     -0.329      0.745     -18.417      13.328\n",
       "f250          -7.2397      6.858     -1.056      0.301     -21.312       6.832\n",
       "f303          -2.8680      4.715     -0.608      0.548     -12.542       6.806\n",
       "f357          13.2785      5.350      2.482      0.020       2.302      24.255\n",
       "f400           1.3663      6.625      0.206      0.838     -12.227      14.960\n",
       "f454          -1.2955      6.388     -0.203      0.841     -14.403      11.812\n",
       "f500           7.7947      6.159      1.266      0.216      -4.842      20.431\n",
       "==============================================================================\n",
       "Omnibus:                        0.193   Durbin-Watson:                   1.138\n",
       "Prob(Omnibus):                  0.908   Jarque-Bera (JB):                0.139\n",
       "Skew:                           0.131   Prob(JB):                        0.933\n",
       "Kurtosis:                       2.845   Cond. No.                         689.\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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YEMJ8tUe8Pj9ZGfaUxko9TofpQhBvHa6jqaM7pamBbqdD243dZZ5a/g0tnbxz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\nzTMPH80xAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f29d5abd2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res = smf.ols(\"h2 ~ f151 + f200 + f250 + f303 + f357 + f400 + f454 + f500\", df3).fit()\n",
    "pr = res.get_prediction()\n",
    "pl.plot(df3.h2)\n",
    "pl.plot(pr.predicted_mean, \"x\")\n",
    "res.summary()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}