tSNE_for_all_brain_cells.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Построение tSNE графика для клеток всего мозга, в зависимости от наличия и отсутствия заболевания"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Импортирование необходимых библиотек"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import sklearn\n",
    "from sklearn.manifold import TSNE\n",
    "import os\n",
    "import glob\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import re\n",
    "%matplotlib notebook #для дальнейшей визуализации"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Создания списка из файлов, лежащих в папке в формате txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "allFiles = glob.glob(os.path.join(\"*.txt\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Работа с файлами и генерирование таблицы, содержащий все гены и все клетки из файлов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "np_array_list = []\n",
    "rows_names = []\n",
    "rows = []\n",
    "\n",
    "#здесь указываются регулярные выражения, чтобы определить файлы с Альцгеймером и без него, чтобы в дальнейшем\n",
    "#присвоить им цифры, которые используются для покраски кластеров\n",
    "regular_AD = r\"AB144[258]\"\n",
    "regular_WT = r\"AB144[346]\"\n",
    "\n",
    "for file_ in allFiles:\n",
    "    if re.search(regular_AD, file_):\n",
    "        df = pd.read_csv(file_,index_col=None, header=0, sep=\"\\t\")\n",
    "        df.loc[len(df) + 1] = [1 + 0*x for x in range(len(df.iloc[1]))]\n",
    "        np_array_list.append(df.as_matrix())\n",
    "        rows_names.append(list(df))\n",
    "        columns_names = list(df.index)\n",
    "    if re.search(regular_WT, file_):\n",
    "        df = pd.read_csv(file_,index_col=None, header=0, sep=\"\\t\")\n",
    "        df.loc[len(df) + 1] = [2 + 0*x for x in range(len(df.iloc[1]))]\n",
    "        np_array_list.append(df.as_matrix())    \n",
    "        rows_names.append(list(df))\n",
    "        columns_names = list(df.index)\n",
    "    \n",
    "    \n",
    "#создание таблицы с генами и клетками\n",
    "comb_np_array = np.hstack(np_array_list)\n",
    "gene_df = pd.DataFrame(comb_np_array)\n",
    "gene_df = gene_df.T #транспонируем, чтобы клетки были по строкам, а гены по стоблцам\n",
    "\n",
    "#распаковывание списка с индексами\n",
    "for z in rows_names:\n",
    "    for i in z:\n",
    "        rows.append(i)\n",
    "\n",
    "#меняем индекс с чисел на рузмные названия\n",
    "gene_df.columns = columns_names \n",
    "gene_df.index = rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Подсчет генов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gene_df[\"new_column\"] = pd.Series(range(len(gene_df)))\n",
    "gene_count = len(gene_df[\"new_column\"])\n",
    "del gene_df[\"new_column\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Создание таблицы для 18 отобранных генов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gene18 = gene_df[[\"Cd79b\", \"Cst7\", \"S100a9\", \"Trbc2\", \"S100a4\", \"Cd163\", \"Lpl\", \"Camp\", \"P2ry12\", \"Cst3\", \"Hexb\", \n",
    "                  \"Nkg7\", \"Rag1\", \"Cd74\", \"Mrc1\", \"Ctsd\", \"Cd9\", \"Cx3cr1\"]]\n",
    "gene18[34017] = gene_df[34017]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Подсчет клеток для 18 генов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gene18[\"new_column\"] = pd.Series(range(len(gene18)))\n",
    "gene_count1 = len(gene18[\"new_column\"])\n",
    "del gene18[\"new_column\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Построение векторов из столбцов и строк для дальнейшего построения tSNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = np.vstack([gene_df.iloc[i] for i in range(gene_count)])\n",
    "Y = np.hstack([gene_df[i] for i in gene_df.iloc[0].keys()])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Построение векторов из столбцов и строк для дальнейшего построения tSNE для 18 генов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = np.vstack([gene18.iloc[i] for i in range(gene_count1)])\n",
    "Y = np.hstack([gene18[i] for i in gene18.iloc[0].keys()])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Непосредственно применение метода tSNE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Можно действовать последовательно, построив сначала график для всех генов, а затем для 18, как и было нами сделано"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "digits = TSNE(random_state=0, n_components=2).fit_transform(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Построение графика по всем генам"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       "}\n",
       "\n",
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       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"799.9999682108573\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "target_ids = range(1, len(gene_df[34017]))\n",
    "\n",
    "y = np.hstack([gene_df[34017][gene_df[34017] == i] for i in [1, 2]])\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "colors = 'orange', 'purple' #в зависимости от количества типов нужно задать количество цветов\n",
    "\n",
    "for i, c, label in zip(target_ids, colors, [\"AD\", \"WT\"]):\n",
    "    plt.scatter(digits[y == i, 0], digits[y == i, 1], c=c, label=label) \n",
    "    #в качестве у должен подаваться вектор из чисел\n",
    "\n",
    "plt.legend()\n",
    "plt.show()\n",
    "plt.savefig('digi6.png', dpi=500) #сохранение графика"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Построение графика по 18 генам"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\" width=\"799.9999682108573\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "target_ids = range(1, len(gene18[34017]))\n",
    "\n",
    "y = np.hstack([gene18[34017][gene18[34017] == i] for i in [1, 2]])\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "colors = 'orange', 'purple' #в зависимости от количества типов нужно задать количество цветов\n",
    "\n",
    "for i, c, label in zip(target_ids, colors, [\"AD\", \"WT\"]):\n",
    "    plt.scatter(digits[y == i, 0], digits[y == i, 1], c=c, label=label) \n",
    "    #в качестве у должен подаваться вектор из чисел\n",
    "\n",
    "plt.legend()\n",
    "plt.show()\n",
    "plt.savefig('digi618.png', dpi=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Сопутствующая статистика"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Подсчет клеток"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "cell_count = len(gene_df.iloc[1])\n",
    "level_exp = (sum(gene_df.iloc[i]) for i in range(gene_count))\n",
    "gene_df[\"expression level\"] = list(level_exp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Добавление стоблцов с экспрессией по генам и по клеткам"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "me = gene_df[\"expression level\"][gene_df[\"expression level\"] != 0]\n",
    "\n",
    "cell_exp = (len(gene_df.iloc[i][gene_df.iloc[i] != 0]) - 1 for i in range(gene_count))\n",
    "gene_df[\"Cell expression\"] = list(cell_exp)\n",
    "\n",
    "fd = gene_df[\"Cell expression\"][gene_df[\"Cell expression\"] != 0] - 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Построение графика логарифмов полученных значений"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
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     "output_type": "display_data"
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\" width=\"639.999974568686\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(np.log(me), kde=False, bins=40) \n",
    "sns.distplot(np.log(fd), kde=False, bins=40) \n",
    "\n",
    "plt.legend([\"Cell expression\", \"Expression level\"], loc=\"upper center\", prop={'size': 15})\n",
    "plt.xlabel(\"Log expression level\", size=15)\n",
    "\n",
    "plt.show()\n",
    "plt.savefig('levelsgen.png', dpi=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Построение графика истинных значений экспрессий"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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rVqF66+/3iqbmPi7Aw44AKy7W7duGD16dOHYLrroIvz73/+2XKqee+45PPXUU3j22Wcxbdo0kFvr1q3xj3/8w4qnSJbcPI6/8Gq88uxTGP3ufzB/zkysWLECn376qcXMSX65b9682erXK6+8Am7SsO7atWtj5513xv7772/xodhLTJwvHNfEiRNBQVijRg3ssssu2Hfffa0yl156qTWfnJROEDBPmB544AErGPyvv/5CtWrVrPrOOOMMi1WVKsUPnylCOa9oy1mzZuGHH37A8OHD8fnnn1v92n333XHSSSehb9++2HFHet1mP+mzKfuM49iCBIA/q4ddAFxsu+dw1/0HOwiY13gm7tbTN5+Bws63c6rd+vq2i5A7CJhXhDIIeN8EhLwSlLEEDP7lGwJOEDB/zqs/3YmxCXMUBOxvEqqUWQL6kjXDkwutBg0aWAtiLtr+9a9/+a6YdZ144on49tvth4dc/HNR6aQTTjgBb775ZrHYgWwKgH/+85+4+uqrsWlTwdMoXEiWL18e69bxKRZYC9633noLRx99dJGxv/TSSzj/fB6ywgqK7tmTIVPbE3/HPPXq1bOEU/36/OgtSG4BsH79erz++utWm+TBeAqKACYuXp955pliosjhcfvtt2PMJ59i0vcTULFiRSseg6LKLQD8cqdoOOaYY/DRRwwXK0jsH/tLVzAnOX11/pvzhKLBSTVr1rTmD4PFnTRz5kzstddehf9dmgCgwKIQc9piP1ifYzMKJgqs3XbjAfj25BYAQ4YMsbizDMtToDlxK3Q/ZYwL+5rtpM+mbBOOZ/0SAP7sHnYBwIgobgPx24M793T94dZOUwCr7CFze8q5BpSLcyaeFvDmHj785RYL/D1v/3FfA8rfM6jY7drDG4f41gCvAeXPncRvbz4UxjcHttg/5O95fSjrYQyDl6QgYC+0lDctAvqSTQtTqZlee+01nH02PQCTL3JLrcDOsHHjRnTo0AHfffedtXN+1113WTvU1atXx5o1a6zYgVtvvdW6VeiGG26wdnrdKVsC4J133sHJJ58MBjPffPPNuPLKKwt3+xnszJ1hChKKgMmTJxc7CbjgggusEw3uiP/888+FC1AGsnJ3n6cZI0eOtBbS7uQIAC5E6Vo1aNAgXHfddVY7ixcvtv6bQbFMDz30kPW7ZDysxfU24I5Bw9H9+JPRbp/dsGTJEqvdnXbaCZlwdwQOd+rZF57OsD0uwtnHL7/8Ei+//LIljpz0xRdfWDdBUcwMHToUl112mdUPJvaLO/A8TeBinMLSSSUJAIqr44+nNywsAcm50bhxY2tsFE4Ub1zMH3bYYfjf//6HChUqFNbrCADOMwoairJ+/fphjz32sAQETyluvPFGSxTQ1uSe7aTPpmwTjmf9EgD+7B4WAcCgXd7rz3v2/wKws30L0JkAeMMPX9pl4lWd3wGYmPAQGD9lUz0Exl1890NgFBWJD4HxdIHvyDsPgfFOf37qJj4ERvHBLaH3bdFAtx5eCcptPD0E5m8OqpRhAvqSNQOUi6K77y54g3D+/PlFFm1eWnjsscdwzTXXWIH+X3/9tbVTnZi4ODz44IOtxTjdcLhz7qRsCAAuIJs0aWKNi7vsyVxZnEXne++9l9TVZ/Xq1ZabD12COnfubO2Wc+7xZ/wdF5f3339/sbE6AoC/SLXwdE4QuIBmH90uMw4Pln/o2VfQ6egCgZH4EnAm3K+66io88cQTuPzyyy0XpXTSPffcA55K0OWJsSLpppIEAOfML7/8YglIvhHgXuCzfgao8+SIiWLttNNOK2zWEQD8AQUZ/zsxUfjRRk2bNgXjXbKd9NmUbcLxrF8CwJ/dwyIA6OrD/9ENh1dncOedD3HxzJ33+bvTQbYLDoN0+RjXOAC3AJiRBAG3jviqL89bGRz8HIDBAArOu7enXQHcA+A4e4efu/98gZiv/iYmnoVzq4SCg+e6vCr0VvsFYa9W0AmAV2LKXyqBdL9kB76fj18WOO/plVpt6DPs16A2+h9v7jYtZxHIgdMlxr0I9QKDC2L6/HNByjpTpVatWlm+5jx54I6zk7IhAN59913L/3vXXXfFwoULk8YesH2eTnBR2aJFC/z666/Fuk7hwt1nCgouZLlj/f3331sigG4lya5CdQQA/dj//PNPa+c/MXEx6sRbUIA4u+DM5/Dg4viV0Xw8viAlCoBMuN95553WLj4X12SVTnr66adxxRVXWGPnaU/iYj1VHakEAE9V2rThm5OwBAWFRbLUvn17TJgwAbx+lvZyklsAkCcX+YmJpwZ8gIyJp1E8LchmSvezKZt9UN1lj4AEgD+bhkUA+Ot99EtJAETfhqEbQbpfsmc+9TW+nbk0dP3326H2jXfC61dwX8BMYnDlk08WePX5FQB0z+B1oPS35m42d/hTJQZm0h2DgZq33eYcemYnCJguRyNGjLAW6CUFgHJhT796LtbdfuzuMdx3333W1ahOYtArA2BTBUw7AoDuMlyApkp0VZk3b57ltsKXcp3kCADuzl/dd3s4llsAZMqd7jxHHnmk5fLTo0cP0N2JC2W3605iv/l3R1HCOIFDDz3UihvhyQhddkpKqQQAYwlYB+MbeKKSLNCX9fbp0weDBw+2XLRmz+Z7lAXJEQCcd3RBSpZ4euNcZ0vWDAzOZkr3symbfVDdZY+ABIA/m0oA+ONmqpQEgCmSqqeQQLpfsjoBKHnSmHABcu9kpztF+/fvb+2mJy54E3/O35d0OlBSe7xhh/7oXlJiwKtTlj/nI1bc+Wei6wzjCVIlRwCcddZZ1o1IqdIhhxxiBU2zLtaZyIML39Ov4PuPBcktAExwv/fee63FNUWQk3gFbNeuXS1BcNRRRxXrOuMC2F8u2J3EG4CY95xzzrFOFBJvekolAIYNG4ZevXpZAdQ8pUmVKFIpVnlC5QRvM2/iLUDJyvN2IEegJAYne5kb6eZN97Mp3fqUTwRIQALA3zyQAPDHzVQpCQBTJFVPIQF9yZqZDCaCgKdOnWpd18hElxi6a3hN2XAB4uKbQaTc3R41apTXLhXJT/cT+qg7t9IwcLokceEIgNLylSYAKIhOuYxvRRYktwAwwZ11LliwwLoGltdvfvXVV1agtpPoGsVxJp7q8CSH/vi8jYhlGNPhJJ560E3K7fZUmgDg7T7sR6rkCIDEUxoJgIymtQpHiIAEgD9jSQD442aqlASAKZKqRwLA8BwwcQ0o3Wecm2B45SZvhvGasiEAeNsQb9ihywddP/wm3uJDn3eKTieGgScCvGGGC/1kyZQLUEkCwAT3ZH3nbUgPP/xw4ZWwyW4pSizHtxB4hSxdu8gmMTg62y5AzjsAycajEwC/M1/lwkRAAsCfNSQA/HEzVUoCwBRJ1SMBkIU5wIeWuJvL3VUG8vp5CMy5yaVLly7WY1teUzYEAMfEsTHxYSju4PtJjisRg4kZtMrAWd5bzyszGQfg+Je763YHAVNkJbsVye2bnioIuCQBwPYy5V4SD/LiVaDHHXecdRNPOum8886zrg7Ny8uzrlV1UqZBwM5JyamnnlrkWlKdAKRjFeUpCwQkAPxZUQLAHzdTpSQATJFUPRIAWZgDvA//oIMOsny6uaDkbSwlBUpy55m7/Lxak8G/TNwl5o47E33e6X6TKtF9xDkxcPJkQwAwUJXXgNK3nG8TUASUdANMsn7xNV8u5unTTjcivnJLf3kuSPlyLbnRBSbxJiD3NaDJ4ho4bidPSdeAMjj41P+7sRBl4i1AmXDnY1+pgm7ZIB9Go5jj3fx8T4GptDL/93//Z50E8GYfisnSBIBbxNB1iC5FiTcLffjhh4WPsPFNAooAJ0kAZOEDQVWGkoAEgD+zSAD442aqlASAKZKqRwIgS3OACzxey8nFLR+94o03XGg51yrykSXufr/99tt45JFHrNdsKQQcAcCFIW+QYUArb3ThXfG8LpK33DDxdh360XMBxx1ilnWnbAgA1s9x8epIuqXsv//+YNApg1WdBTuDQseOHWuJGQavMiDWSdyhd+775yu1vAnISdOmTbMW/7xWkvfM87Yhd3I/BMbbevjWAt9J4EnA33//bT2URjcbJj585Ygnpw6HR2kCIBPufLyMvvenn366daOPY0sKoccff9y6mYjc+EYAbyNi4gKfLztzrnDB7rzlQPHIh8Wuv/56aw4xsJePgaUjANwPgfHaVt7Zz6BdxlswNoHXytINq6SHwOQClKUPBlUbGgISAP5MIQHgj5upUhIApkiqHgmALM4Buntw4cqFr5O4UKarCxf8vOaTibvh3OHn7rg7OJQLWy4Mx43jsyUFiYGgfDWWi0bnhh0KBCeYNnHBa/IWIKduCg4uYJ0rPtk+X+jlopULaCdxkd67d2/rP9k/LjhLuu/fucKSPEaPHl3kDntHAPBxKp5EMBiZO9vkQZYOC960w1gCMnKndAUAy/jl7n5szLEV/83FtpMYBMy+O/1zn2wwD+cGeXJMTqLrEHnwqlQnlfQQGPNQBFFIOVwoRmgv53Yixl6wzsQrSnUCkMUPBFUdKgISAP7MIQHgj5upUhIApkiqnkICugUoO5OBO/30neeuLHfzeSMMr13kgpkPZXGXny/YNm/ePGkHuICjv/iLL75YWJ4ZeU0kF3E9e/a0HudKdDHK1gmA00m6AXFXm4tIChzuynPxyp1mLljZJ46Ni1km5w0BugzRzz/VeJ2bhpz4AGdH3C0AuMDnLjpPGXhyQEZkwWstyTJZ8iIAWN4Pd/ro062Jt//wSlE+WEaxQlu1bdvWelmXpyfuxGBfuuTQVYePprEMhRTdmOj2w1uPKGoS3XhKEwBsg5wpBNgfxk0wJoW3SzGOw7kCNJGVBEB2PgdUa/gISAD4s4kEgD9upkpJAJgiqXokADQHIkHALQC4SPWbuLCfPH9FYfHEGAC/9apc9ghocyJ7bONcswSAP+tLAPjjZqqUBIApkqpHAkBzIBIEJAAiYaasdFICICtYY1+pBIC/KSAB4I+bqVISAKZIqh4JAM2BSBCQAIiEmbLSSQmArGCNfaUSAP6mgASAP26mSkkAmCKpeiQANAciQUACIBJmykonJQCygjX2lUoA+JsCEgD+uJkqJQFgiqTqkQDQHIgEAQmASJgpK52UAMgK1thXKgHgbwpIAPjjZqqUBIApkqpHAkBzIFYEFAQcPXNLAETPZlHosQSAPytJAPjjZqqUBIApkqpHAkBzIFYEJACiZ24JgOjZLAo9lgDwZyUJAH/cTJWSADBFUvVIAGgOxIqABED0zC0BED2bRaHHEgD+rCQB4I+bqVISAKZIqh4JAM2BWBGQAIieuSUAomEz/m2t27QF1SsXPP4X9iQB4M9CEgD+uJkqJQFgiqTqkQDQHIgVAQmA6JlbAiAaNrvyxR/w6bRFeOGSdmjfpG7oOy0B4M9EEgD+uJkqJQFgiqTqkQDQHIgVAQmA6JlbAiAaNtvrjpFWR6tULI9pdx8T+k5LAPgzkQSAP26mSkkAmCKpeiQANAdiRWDrtm2YMn9F4ZhbN9whVuOP4mAlAKJhNUcAsLezhvUMfaclAPyZSALAHzdTpSQATJFUPRIAmgOxIiABED1zSwBEw2YSANGwU6a9lADIlGBm5SUAMuOn0kkI6EtW0yIOBCQAomdlfTZFw2YSANGwU6a9lADIlGBm5SUAMuOn0hIAmgMxJSABED3DSwBEw2YSANGwU6a9lADIlGBm5SUAMuOn0hIAmgMxJSABED3DSwBEw2YSANGwU6a9lADIlGBm5SUAMuOn0hIAmgMxJSABED3DSwBEw2YSANGwU6a9lADIlGBm5SUAMuOn0hIAmgMxIVCuXMHX1aeffopOnTohKgJgr732wuzZs/Hcc8/hoosuiry1Zs2ahcaNG1vjmDlzJji+dJMEQLqkgs0nARAs/1y1LgGQK9LJ25EACJZ/mWxdX7LmzDpgwAAMHDgw7Qp5N71SdghIAGSHq9daJQC8EotefgmA6NnMT48lAPxQM1dGAsAcSy7//0wAACAASURBVNVkE5AAMDcV3AJg1113LbXiP//8s9Q8yuCPQIsWLayCL7zwAtq1a6cTAH8YMy4lAZAxwtBXIAEQehMZ6aAEgBGMviuRAPCNTgVTEZAAMDc33AJAu/vmuJqoSS5AJih6r0MCwDuzqJWQAIiaxfz1VwLAHzdTpSQATJFUPYUEJADMTQYJAHMsTdckAWCaaHr1SQCkxynKuSQAomy99PsuAZA+q2zklADIBtWY1ykBYG4CZCIA/vGPf+DJJ59EnTp1MGnSpKTBko8//jiuvvpqVKhQwQpuPeKII6zOJy6yNm3ahMGDB+Pjjz/G4sWLQXekY489Fn379sXuu+9ebMCfffYZjjrqKOvnPLn48ccfMWLECIwfPx5//fUXDj/8cDCPO82YMQMPPvig1cbcuXOxdetWNGrUCN27d8dNN92EPffcMynYqVOn4v7777fqmzdvntXezjvvbPWrc+fOuOCCC+C47zgVMN99992HsWPHWmPdvHkz6tati9122w1HHnkkzjnnHBx88MFF2istBqDZzlUt3m+88QZ+/fVXrFu3zuLUsWNHq//7779/0v67g3TZ7kMPPYSXXnoJ06dPR8WKFXHQQQfhtttuQ48ePXxNrHSCgGmfRx55xLLPwoULUb58eey99944/vjjccMNN1g83alNmzb4+eefceONN1rsU6VPPvkEXbt2BdmRc6IN6bJGm48aNcr6/YYNG9CgQQPLbmS23377FataAsDXNIhUIQmASJnLd2clAHyjM1JQAsAIRlXiJiABYG4+ZCIAuADlIjY/Px+HHnoo/ve//1kLSidNmTLF+v369evRr1+/IsHG7kXWa6+9hv/7v//DqlWrULNmTWzZssVa3DLttNNO+Oijj3DggQcWGbRbALz11ls4++yzQRFRu3ZtbNy4Ee3bty8iAP75z39aQoR5mKpUqWItQp12WI71HH300UXaYdtcpHLhyFSpUiXUqFEDy5cvL8zXv39/kKOTfvrpJ0ucLFu2zPoRxQ/rZxnHzerCCy/E888/X6StYgJg6zZMWbDCyvPXwgW46ZIzQaZOP6pXr44VKwp+z7FwoXvttdcWmxzOAp0LcC78v/32W2scZLB69WorP9v+17/+hUsuucTz5CpNAJDPXXfdVTh29puCiHZioigaOXIkDjjggMK2KeZuvfVW1K9f3xJdZJgsXXzxxRZH3ppEgelOH3zwgTUvnDFyzJUrV8aaNWusbPz/nBcUcO4kAeB5CkSugARA5Ezmq8MSAL6wGSskAWAMpSpyCEgAmJsLmQgA9oKLfy7yuZC+8847rV18Jrc44G48d37dizj3IosnCNyJ52KMwa9cJHPhTVEwZ84ca1eXC99atWoVDtwtACgauKvOHXdnJ/7333/HPvvsY+V/5513cPLJJ1uL3ptvvhlXXnll4U7xb7/9Zp0yvPnmm9YiffLkyUV2kVkHd8q7detm1Z+Xl2fVSVHDn//nP/+x8nMh6iTuSHNnmqLlscces8QIF9hc8PK6zPfee886feAC151SCQAKogtP7oHJP35vnbawztNPP91awPJv4frrrwcXu0wffvghjjnmmCL1Ogv0HXfcEVx8szxPV8hj2rRp1tWd33zzjSW+uNhmG15SSQKAooS7+LQd5wfb4qKeY+KpEU8exo0bh4YNG1qnGuwDE08J9thjDysfd++TnU44JyAUjs8++2wRG0yYMME6bSLzK664wjploC05Bzmnhg8fDp5OUbB+/fXXaNu2beGQJQC8WD+aeSUAomk3r72WAPBKzGx+CQCzPFUbYC16mJo0aSIeGRLwcgvQmWeeabmPJCa6pdAdiLvQdK/h7jcX2U899RR22GEHa6HHBb47uRdZdI355ZdfUK9evSJ5uCCkWwsXcffcc0+RBbNbAFA0fPXVV0l3iVmW82T+/Pl45plnUu5wn3jiidbCnItpLlqZFi1aZLnYMC1YsMDaqU4ncZHNxSn7xJORdFMqATD6vf/i9qsvtaoZPXq05bLkTtxN79Chg7WzT4FCEeNOzgKdO/60RaK7El2uKGIoanhCcO6556bbZStfKgHw999/W3YnCwq6Ll26FKuXfT/kkEPwww8/4IEHHrAW6k7ion/MmDHWLv4rr7xSrOyrr75quVJVq1bNcvtyC0TOie+++84Sd4MGDUo6Htr64YcfBm1PkegkCQBP5o9kZgmASJrNc6clADwjM1pAAsAoTlVGAmkLgFF3AH8WXQxFmmD9VsAxw4wOwcs7AMncVpzOnHbaadZuOP2r6fLBXVcm+qtztzoxuRdZvXv3xt133510XFyMcvHH3XQuEp3kFgDcvWf7ydK7776Lk046yVrIc1fZWWQn5mXfWQcXxxQeTFy4ckeau/VsO9ENKZUhyIBtsc5TTjklbXulEgA3/t/5GDf6A0tMUFQkS9wl564+E33nW7VqVZjNWaCTJRf4yRJ94ulCwx157o57SakEAMUiF/Q8IeKOfKrEk5VbbrnF2uXnOJz08ssv47zzzku6wGcejpf5EwUCXbAoHHnCQXGT6kSDNuXOP1266ErlnFBJAHixfjTzSgBE025eey0B4JWY2fwSAGZ5qjYvAuC5nsDsL8oOs0YdgItHGh1Ppi5ATmfo785FF90rnHTZZZdZbj3JknuRRXcZLkCTJe7asx66aqxdu9Za1DG5BUBJu/N0s6E/Od1l6AKTKvGkgGPgbjLbcRJdf7h7vcsuu1inGj179rR81VlfqnT55Zdb46Z44P8/4YQTrEUwTwZKSqkEQPf2efhzwfwSd7O5e+/ETyS6wzgLdO52J4sRYJ+40OaCuySbpep7KgFA4ce4CjKle1WqRKG1cuVK7LvvvtZJkJNoB7oL0cUn8ZVh7vjTbYgnCIkuQnRxuuaaa6wFfWJwsbsPdC/iKQUT63NOoCQAjH7EhLIyCYBQmsV4pyQAjCP1VKEEgCdcypwOAZ0ApEMpvTymBABbox86A2aZ6HZDV5RUi173Iou37DRv3jxph+ny4vi080YXxyXHLQC4CEwVJOqcIKRHoyCX+z0EChou4Lmr7CQu/rmgp+vIpZdeagUquxODfbnz7w5KZf8okCggKAqS3WyUSgAc3LQ+Nm7YYN0A5JysJBsPF8tcyA4bNgy33357YZbSgnSZkb75//73v1HSKU8qhqnqZ+xHqhOLZHXRXYjzwp2cIF8KRApFJzmxBcmChHmiNGTIEC8mx8yZMwtvsZIA8IQucpn5992414eF/Z41rGfox8BYKzv+iEFI+aHvcEg6KAEQrCEkAILlXyZbT1sAlMnRmx2USQFAVxu63DDR35xuH61bt07aYfcii4GozZo1S5ovHQFQ0gNmZ511Fl5//fVi7iVeKNIFiKcADLD98ssvLTFA0cHEUwXucic7wfjiiy/w/vvvW2W+//77wpuEuCPOkw26rrhTaQKAMRUUD6mSIwDowkNXHicFJQDo28+4BJ6cPPHEE16QF+ZlgDBjBxhfwjnDwGAmXl06ceJEK6ibJzzudMcdd1huTG53Li+NSwB4oRW9vBIA0bOZ3x5LAPglZ6acBIAZjqrFRUACwNx0MCUAHn30Ucu9hDvd3M2nKwddOrjwTXYKYNIFqCQBQB90+qJzx5033JhIdEnhwr5Xr16WyxNPJfjvktyC6KLDNwH69OljnYxUrVrVWtA6JxrsV2kuQCzL6zSTJdbPIFgKk1QuQIluNO56snEC4AhCngRQDPlJtC0FDPkOHToUXNxzbrVsya8WWEHNfDPAnZzTAdpj6dKllo+/lyQB4IVW9PJKAETPZn57LAHgl5yZchIAZjiqFgmArMwBEwKAC1reusJF6MCBAy03Erq70BWGO9bcuU5M7kVWSQtbxze9pCDgkgQAA4TPOOMMq/nPP//cui3HVOKNR867ARQ63JUuLfHqUOd6Up4cnHrqqYVFMgkCdp+U0B7OdaWsPKgTgHvvvdc6iaAo5CNsiTdBlcbK+T2vD+Xin4920RWCwotuTjxdcrtmOfl5+w/nI9OLL75oxTd4SRIAXmhFL68EQPRs5rfHEgB+yZkpJwFghqNqkQDIyhzIVAC47/vn4pq++VzwuRfeiQtdDsS9yGKgJm/eSQzYpGsQd3f5CFeiW0viS8Cp4FCUMB6Bt/JQRFAElBSMyx1jx6efgcEl7erTtccRFHzplqKHO/B0V+H/kiVeR8rgVaa3337buqHISakEwJj338ZtVxU80MVrMRmY7E5sk+8g8D77kq4BzfUJAGM2yJ5zhLEPdA9LFatBNysGAvPa2MTEGBGeJjFxcc/4Cr7kTNcfugAlJi7wKMZoE15vSnHGIO5UyW3zxLnpjg1I5w9Qp5PpUAo2z9at29DkTsUABGuF3LQuAZAbzqlakQAIln+ZbF1fsubMmqkAcN/3z91YLricxBtl6OtOP3n+zvHfTlxk8ZrGxo0b4+mnn7aCa7mAY8Any/PhLJbjQ2Dum2TSFQBsi3e8c9HIerlI5+4x3ypwFvdc5NE9h31lwC9PJJjYxnXXXWc9MMUrKunaxIU96+Fim2PnbjsX9BQ0XNzy3/RZZxkuenkdp/M6Mq/n5N3zrJduKXRrcQcQp/sQGB+w4g07vBGJfaebE98wYCrpIbBcCwD2hzcPccxMZE4XJsYGkBU5UuSxz3yFmDv9qXbrOS+4kOe1nfw3y1MEpHqbgfEnFEUUj5xbfEeC14Y64o9CjEHaDHzmCYn7tiqdAJj7fAljTRIAYbRKdvokAZAdrunWKgGQLinlS5uABEDaqErN6OUhMFb23//+F4cddphVL/+/48KS7L5/XuPInVju4PJVVi64kt21/tprr1mv/tK33rl337mKkzvCDMB1v9TqLM65oGQqyQXIAcArLumO5NTLRTmFx+rVqwuDc5mX7xHwFpnENvjfXHBThPDOeCcImP/N2484vkRhw//meJ12eKLAROHB/iS+XZAoALZs3Yb8BSusMn8tXIAbLz7DcoFx6uBilm5WTBQmfEiLgiUxBeUC5PSDrkB02+G1m07fGa/AHf9NmzYVdrekR8geeeSRImPjY2h0eyopcd4w0HrJkiVWNtqC84knEu6rXhOvPpUAKBFr5H8pARB5E6Y9AAmAtFFlJaMEQFawxrtSCQBz9vfyEBhb5SK+U6dO1u4r3XN4dz6vwuQObrLEIE3u+HInlm3xkTCmxEUWF8eDBw+2dv75eBNdNrhj269fv0KXGXf9Xk4AnHJ0A+LuOReO9MV3BAd3iOnKQ3ecjh07Fu7Yr1mzxtqd5pi5o8z3Btg3BvA2bdrUcsXh7jYf/nISF7Ssn2V4SsDAY74oTMHBhThFC8s4cQDuMZUkAJiv2c5Vrdt0KLboMsWFLIOIaY+bbrrJOt1IloIWAOwTeZM97Uvbky3FEzmSCdlznqR6qI339ZOzIxgooPgKcGmJAonXp44cOdIKHqZ44y1MPKniw2q8ypVxHLSpkyQASqMa7d9LAETbfl56LwHghZb5vBIA5pnGvkYJgOhPgUwWWdEffXojcJ8AsETrhsX949OrSblyRUCfTbki7b8dCQD/7KJWUgIgWItJAATLv0y2ri/Z6JtVAqB0G0oAlM4obDn02RQ2ixTvD/+u9lYQcPgNZaCHEgAGIGZQhQRABvBUNDkBfclGf2ZIAJRuQwmA0hmFLYc+m8JmEQmA8Fskez2UAMge23RqlgBIh5LyeCKgL1lPuEKZWQKgdLNIAJTOKGw59NkUNotIAITfItnroQRA9timU7MEQDqUlMcTAX3JesIVyswSAKWbRQKgdEZhy6HPprBZRAIg/BbJXg8lALLHNp2aJQDSoaQ8ngjoS9YTLmWOKAEJgOgZTp9N4bfZ5i1b0bT3qMKOzhrWM/Sd5vW/9uveeQAK7gJWKpWABECpiLKaQQIgq3jjWbm+ZONp97iNWgIgehbXZ1P4bSYBEH4bmeqhBIApkv7qkQDwx02lSiCgL1lNjzgQkACInpX12RR+m0kAhN9GpnooAWCKpL96JAD8cVMpCQDNgZgTkACI3gSQAAi/zSQAwm8jUz0MiwDoDOA8AIcB2AMA32//HsAgAD+4Bvs8gAuTDH4agBYJP68E4E4AFwPYDcBMAI8BeCRJ+SYARgBgPyoC+BrA7QAmJsl7FoA77PaWAngDQB8Aq30YRQLABzQVKZmAvmQ1Q+JAYMvWrchfsLJwqHoILPxWnzFjhvWacZMm/MpVCiMBCYAwWiU7fQqLAHgTQF0A/PcvAHYBcDOAtgC6AxhnD58C4Ax7oe4msg7ATwmI/gngfAB9AXxn18NFPRfrQ1x52dYkAMsA9AOwHkAvAG0AHAyA4sJJ5wJ4CcC/ALzC1+cBDAcwAUA3HyaSAPABTUVKJjBz5kxs2bIFTZs2FSoRKLMEJACiZ9rp06ejQoUKaNy4cfQ6H5Meb9qyFfsoCDgW1g6LAKgHYFEC8ZoApgOYAqCrSwCcBoC/KylxYT0ZQG8AQ10Zn7ZPGhoC4O490z0AbgCwD4DZ9s9qA5hhC48z7Z9VADDXrpeixEnnAHgZwLEAtofOpzd9JADS46RcHgjMmzcPq1atwj777IOKFXmgpSQCZY+ABEC0bLp582b8/vvvqFWrFho25FewUhgJSACE0SrZ6VNYBECq0XHnf3cAze0MPAFIRwBw4X+37frzp6vyQwF8BYA7+dzBZ/rdXuz3SOjEU/YJAsXAZgCHA/gCwNkAXnPlpasRxcSrAC73aCYJAI/AlL10AitWrMCCBQtQr1491K3LgzUlESh7BCQAomXTJUuWYNGiRWjQoAHq1KkTrc7HqLcSAPExdpgFAD8huCNPEXCKSwDQrWex7Sa0EMA7tuuOs6PPrFyMdwHAkwV3qmH76vNUgPEB1QCssf3/b0vIezWAR23x8RuAKwA8CYCLdropuRNdjDbZMQxeZo8EgBdaypsWAbr/MA6AO24UAfyy1UlAWuiUKUIEJACiYSx+DnFTgot/fg7R/59uQErhJCABEE67ZKNXYRYA9LWn+80hrkDgG20IdAti6giAP5tj++s7gbhjAeyZJDCYZTYA4EkCF/QNAMy3ff6HJQDmTj9PCRiYzKBgCobBSU4VWGwMgL1cJxXJbEUxwngDd9obwLtTpkxBy5bUAkoiYIbAxo0bMXv2bEsEMFWqVMkKvuP/lESgLBDYtm0bVqzjvktB2qF65bIwrDIzBtqH/9u0qcBGXPw3atQIlSvLTmE28sbNW9Gsjx4CC7ONTPUtrKuBu+xg3WvtXfiSxnsqgLcA3ATgATsjBQBvE9o3SUEKgOcAXOkSALzVh8G87uQIALoNfeMSAPUB/JWQlwKgUQrB4WQdAKB/soFIAJiazqrHTYAnAatXr7biAfglzC9jJREoKwS4Uzk2f7uHZ8/W3M9RChMBbjhw84F+/zVr1tTOf5iMk6IvEgARMJKhLoZRAHCRzMUy/fjdt/WkGnJ5ALwLbqR9YsB8YXQB0gmAoUmrakRABESAu/9tBnKvpyDNGtZTUERABDIkIAGQIcAIFQ+bAHAW/xQAA9PkSAGwCsB7doAui6Vy16E7Ed153EHA9O/njT/HJLRHf/8LADhBwHQF+hIA3wF43ZWX16zwClEFAadpMGUTAREQgUwJSABkSlDlRaA4AQmA+MyKMAkA3tfPh794ew//f7qJ7wJwQc6rPB+yCznXgPI+f7drj7Ood18Dyt+zLC9N5zWfTLVc14Bywc/kXAPK9wbcYoG/5+KfPxudbqdd/ZwiFyCP1JRdBEQg9gQkAGI/BQQgCwQkALIANaRVhkUA8NEvvsTLBXSynX/64NPHnkG5vIKT7wPQoZlBwFy8cwe/vX2jj4PaeQiMD3/xlh4+1EVBkOwhMC7q/7ZvE2KMAGMCDgDQDsBUl+34WvGLAPieABf9fDuA7wg49Xs1s24B8kpM+UVABEQAsAKA5QKkqSACZgls2LwFzfts38uMgmtdfn4+8vLyCIL/yDdLpOzWFhYB8Jm9mE9Fmv3cEcAz9sJ8V3tHnteEvm3HCqxIKMz7+RlHcDEABu7OsgOKH0nSCG/joQDpzMsKbDchXgs6MUleBgdTILSw7/9/w27HuYHIy2yRAPBCS3lFQAREwCawYu0mtBmkGABNCBEwSUACwCTNcNcVFgEQbkrZ650EQPbYqmYREIEyTEACoAwbV0MLjIAEQGDoc96wBEDOkRdpUAIgWP5qXQREIKIEJAAiajh1O9QEJABCbR6jnZMAMIrTc2USAJ6RqYAIiIAIABIAmgUiYJ7A+k1b0KKvYgDMkw1fjRIAwdpEAiBY/mpdBEQgogSWr92I/Qd9VNj7KAQrRhS1uh0jAhIA8TG2BECwtpYACJa/WhcBEYgoAQmAiBpO3Q41AQmAUJvHaOckAIzi9FyZBIBnZCogAiIgAoAEgGaBCJgnIAFgnmlYa5QACNYyEgDB8lfrIiACESUgARBRw6nboSYgARBq8xjtnASAUZyeK5MA8IxMBURABEQAWLZmIw64SzEAmgsiYJKABIBJmuGuSwIgWPtIAATLX62LgAhElIAEQEQNp26HmoAEQKjNY7RzEgBGcXquTALAMzIVEAEREAGdAGgOiEA2CEgAZINqOOuUAAjWLhIAwfJX6yIgAhElsHTNRhwoF6CIWk/dDisBCYCwWsZ8vyQAzDP1UqMEgBdayisCIiACNgEJAE0FETBPYN3GLdi3nx4CM082fDVKAARrEwmAYPmrdREQgYgSkACIqOHU7VATkAAItXmMdk4CwChOz5VJAHhGpgIiIAIiAEgAaBaIgHkCEgDmmYa1RgmAYC0jARAsf7UuAiIQUQJLVm/AQXd/XNj7WcN6RnQk6rYIhIeABEB4bJHtnkgAZJtwyfVLAATLX62LgAhElIAEQEQNp26HmoAEQKjNY7RzEgBGcXquTALAMzIVEAEREAFAAkCzQATME1i7cTP26zcmUidr+fn5yMvLY5/5j3zzVMpmjRIAwdpVAiBY/mpdBEQgogQkACJqOHU71AQkAEJtHqOdkwAwitNzZRIAnpGpgAiIgAgAf6/egLaKAdBUEAGjBCQAjOIMdWUSAMGaRwIgWP5qXQREIKIEJAAiajh1O9QEJABCbR6jnZMAMIrTc2USAJ6RqYAIiIAI6ARAc0AEskFgzYbNaNlfMQDZYBu2OiUAgrWIBECw/NW6CIhARAksXrUBBw/WNaARNZ+6HVICEgAhNUwWuiUBkAWoHqqUAPAAS1lFQAREwCEgAaC5IALmCUgAmGca1holAIK1jARAsPzVugiIQEQJSABE1HDqdqgJSACE2jxGOycBYBSn58okADwjUwEREAERACQANAtEwDwBCQDzTMNaowRAsJaRAAiWv1oXARGIKIFFq9aj3eBPCns/a1jPiI5E3RaB8BBYvWEz8hQEHB6DZLEnEgBZhJtG1RIAaUBSFhEQARFIJCABoDkhAuYJSACYZxrWGiUAgrWMBECw/NW6CIhARAlIAETUcOp2qAlIAITaPEY7JwFgFKfnyiQAPCNTAREQAREAJAA0C0TAPAEJAPNMw1qjBECwlpEACJa/WhcBEYgogUUr16PdEMUARNR86nZICaxavwmtBowt7F0UYmvy8/ORl5fHPvMf+SFFG7puSQAEaxIJgGD5q3UREIGIEpAAiKjh1O1QE5AACLV5jHZOAsAoTs+VSQB4RqYCIiACIgBIAGgWiIB5AhIA5pmGtUYJgGAtIwEQLH+1LgIiEFECEgARNZy6HWoCEgChNo/RzkkAGMXpuTIJAM/IVEAEREAEgL9Wrkd7xQBoKoiAUQISAEZxhroyCYBgzSMBECx/tS4CIhBRAhIAETWcuh1qAivXb0JrBQGH2kamOicBYIqkv3okAPxxUykREIGYE5AAiPkE0PCzQkACICtYQ1mpBECwZpEACJa/WhcBEYgogT9XrMchQ3UNaETNp26HlIAEQEgNk4VuSQBkAaqHKiUAPMBSVhEQARFwCEgAaC6IgHkCEgDmmYa1RgmAYC0jARAsf7UuAiIQUQISABE1nLodagIr1m1Cm4F6CCzURjLUOQkAQyB9ViMB4BOciomACMSbgARAvO2v0WeHgARAdriGsVYJgGCtIgEQLH+1LgIiEFECC1esw6FDxxX2ftawnhEdibotAuEhIAEQHltkuycSANkmXHL9EgDB8lfrIiACESUQRwGwcfNWVK5YPqIWU7ejQEACIApWMtNHCQAzHP3WIgHgl5zKiYAIxJpA3ATAt38swcXPf4djW+2GEae3ibXtNfjsEZAAyB7bsNUsARCsRSQAguWv1kVABCJKIG4CYO87P8SWrdssa8ndKaKTNgLdXrF2E9oMUhBwBEyVcRclADJGmFEFEgAZ4VNhERCBuBJYsHwdDhsWnxiAve4YWWhqCYC4zvrsj1sCIPuMw9KCBECwlpAACJa/WhcBEYgoAQmAiBpO3Q41AQmAUJvHaOckAIzi9FyZBIBnZCogAiIgAoAEgGaBCJgnIAFgnmlYa5QACNYyEgDB8lfrIiACESUgARBRw6nboSawfO1G7D/oo8I+RsHdLD8/H3l5eewz/5EfasAh6pwEQLDGkAAIlr9aFwERiCiB+cvX4fCQxABs3rIVs5asxd671EC5ctn5WlUMQEQnasS6LQEQMYNl0N3sfFJl0KGYFZUAiJnBNVwREAEzBMIkAK5+eSJGTl6Ifsfth0s6NDYzwIRaJACyglWVJhCQAIjPlJAACNbWEgDB8lfrIiACESUQJgGQi8V5LtqI6FRQtw0SkAAwCDPkVUkABGsgCYBg+at1ERCBiBKYt2wtOgz/tLD3Qfoq52Jxnos2IjoV1G2DBCQADMIMeVUSAMEaSAIgWP5qXQREIKIEJAAiajh1O9QElq3ZiAPuUhBwqI1kqHMSAIZA+qxGAsAnOBUTARGINwEJgHjbX6PPDgEJgOxwDWOtYRAAnQGcB+AwzUr44gAAIABJREFUAHsAWA7gewCDAPyQAO1AAPcAOATAZgB8BvIWAH8kgXstgKsBMCJrAYDnAQwBsCkhbz27zuMAVAfwE4A+AD5JUmdXAHcBaANgLYAPANwGYJFP40oA+ASnYiIgAvEmIAEQb/tr9NkhIAGQHa5hrDUMAuBNAHUB8N+/ANgFwM0A2gLobi/yya4FgAkAJgEYBqCqLRJ2BLA/gMUuwL3thTrzjQVwMIC7AfwbwOWufFVssbEDgDvshTxFQ08AXOyPd+XtCOBjAHyP/TEAFA7DASyz+7rBh4ElAHxAUxEREAERmLt0LY64RzEAmgkiYJKABIBJmuGuKwwCgAvpxB30mgCmA5hiL8RJ8Q0ARwHYG8BKG2sjAL8DeADA7fbPKCbmAXgBwBUu/HfaIoAPRVBoMF1lL+Z5+vC1/bOK9inAagDtXeUpPmrYu/88fWBiuS/tep7wYWoJAB/QVEQEREAEJAA0B0TAPIGlazbiQMUAmAcbwhrDIABSYaF7z+4AmgPgopyLfi7qr0woMMZ282lm//xcAC8BOBTAN668u9muQDwdoCsQEyNd6HbE0wV36mXnaQhgvt0Pigr+nKcK7jQNwGwA3XzYVwLABzQVEQEREAEJAM0BETBPQALAPNOw1hhWAVDHXlRTBJxii4Cptk//4wkw77Vdhui/vx7AUNudh6cIaxLy0k2Ii/5z7J8vBPA5gDMS8tEFiP79dEGiCxH/Pdp2DfowIS9dlw4H0MCHkSUAfEBTEREQARGQANAcEAHzBCQAzDMNa41hFQDcwT/TDvZlILDjanM2gNcSYDq79VyAc0H/NIAL7BiBRO7crZ9lL+j5u40Ank1yqsDTg69sofCq/e+Xk5wqsI6nAFwEgPEEJSW6OjG+wZ3ozvTulClT0LIltYCSCIiACIhAOgQkANKhpDwi4I2ABIA3XlHOHUYBwFt2eAsPb/F51IbrCICzALyeQgDQxedPWwCcD6BaEsNQAMwE0MP+HQXAMwD+kZDXEQCO4OCJAQUAbx/6NiEvBcCFKQSHO+sAAP2TTRYJgCj/CanvIiACQRCQAAiCutos6wQkAMq6hbePL2wCgAtkLpTdfvrsLeMAvLoAMWCXV3W6U5AuQDoBiM/flUYqAiKQZQISAFkGrOpjSWDJ6g046G5eeFiQgnxhO10D5OfnIy+P97uA/8hPt1zc84VJADiLfwqAgQmGcYKAeY1n4m49ffObAHCCgFPt1te3XYTc4oL+/QwC3jehPV4JylgCBiHzDQH+m0HA/Dmv/nQnCpM5CgKO+5+Sxi8CIpBLAhIAuaSttuJCQAIgLpYGwiIA+tp3+vOufv7/ZImuP50ANAWwys6wp+saUC7OmXayb+7hw19uscDf8/Yf9zWg/D2Dit2uPRQbfGuA14Dy506i6w8DjfnmwBb7h/w9rw9lPU/6mDYKAvYBTUVEQAREYM6StTjyXr0DoJkgAiYJSACYpBnuusIgAPjo1wj7lp3EnX/Sc67y5FWd3wGYmPAQGBf8qR4C4y6++yEwXiOa+BAYg4xrux4C49sAxyd5CIzigzcIvW+LBrr08ErQFXoILNyTXL0TAREoewQkAMqeTTWi4AlIAARvg1z1IAwC4DMAfGU3VXL38SDbBYdBunyMi9eE3gJgRpLC19nXhu5lBwc/B2AwgE0JeXcFcA+A4+wdfu7+8xRiuxPc9gJH2ycVFByML+BVobcmecgsXfvpBCBdUsonAiIgAi4CEgCaDiJgnsDfqzegrWIAzIMNYY1hEAAhxJKzLkkA5Ay1GhIBEShLBGYvWYOO93L/qCAFGay41x0js96PXLRRluaHxuKPgASAP25RLCUBEKzVJACC5a/WRUAEIkpAAiCihlO3Q01AAiDU5jHaOQkAozg9VyYB4BmZCoiACIgAIAGgWSAC5glIAJhnGtYaJQCCtYwEQLD81boIiEBECcRZAMwceizKldPXd0Snbqi7LQEQavMY7Zw+QYzi9FyZBIBnZCogAiIgAsCsv9eg04h4xgBIAOgvIFsEFq/agIMH6yGwbPENU70SAMFaQwIgWP5qXQREIKIEJAD09R3RqRvqbksAhNo8RjunTxCjOD1XJgHgGZkKiIAIiEC8TwD+GHIsypfX17f+DswTkAAwzzSsNeoTJFjLSAAEy1+ti4AIRJRAnE8AJAAiOmkj0G0JgAgYyVAXJQAMgfRZjQSAT3AqJgIiEG8CM/9eg6NiGgMgARDvuZ/N0S9atR7tBn9S2ESQ72ukO878/Hzk5eUxO/+Rn265uOeTAAh2BkgABMtfrYuACESUQJwFwIwhx6KCXIAiOnPD3W0JgHDbx2TvJABM0vRelwSAd2YqIQIiIAKQANDXt/4MzBOQADDPNKw16hMkWMtIAATLX62LgAhElMAfi1ej833jQ+GqsNcdI7PeD3cb0wcfg4oVykfUcup2mAlIAITZOmb7JgFglqfX2iQAvBJTfhEQAREAIAEgAaA/BPMEJADMMw1rjRIAwVpGAiBY/mpdBEQgogQkACQAIjp1Q93tRSvXo90QBQGH2kiGOicBYAikz2okAHyCUzEREIF4E4izAPh98DGoJBegeP8BZGn0EgBZAhvCaiUAgjWKBECw/NW6CIhARAnMWLwaXWIaAyABENFJG4FuSwBEwEiGuigBYAikz2okAHyCUzEREIF4E5AAkAtQvP8CsjN6CYDscA1jrRIAwVpFAiBY/mpdBEQgogTiLAB+u/sYVK4oARDRqRvqbv+1cj3aKwYg1DYy1TkJAFMk/dUjAeCPm0qJgAjEnIAEgARAzP8EsjJ8CYCsYA1lpRIAwZpFAiBY/mpdBEQgogSmL1qNrvfH8x2AaXf3QJWKFSJqOXU7zAQkAMJsHbN9kwAwy9NrbRIAXokpvwiIgAgAkACQANAfgnkCEgDmmYa1RgmAYC0jARAsf7UuAiIQUQKJAmDCnV1Qq2olVKuc+4Vxrl8C1glARCdtBLotARABIxnqogSAIZA+q5EA8AlOxURABOJNIFEAVChfDrvvUA2f3tIJ/P+5TLkWAFPv6oGqlXIvdHLJVG0FQ+DPFetxyFA9BBYM/dy2mttPydyOLQqtSQBEwUrqowiIQOgITF+0Cl3v/1+xfr179eFos8cOOe2vBEBOcauxLBKQAMgi3JBVLQEQrEEkAILlr9ZFQAQiSkACQCcAEZ26oe62BECozWO0cxIARnF6rkwCwDMyFRABERABBgEnPwF475rD0bqhTgA0R0TADwEJAD/UollGAiBYu0kABMtfrYuACESUwO9/rcLRDxR3AZIAiKhB1e1QEFi4Yh0OHTqusC+zhvUMRb9K6kR+fj7y8vKYhf/ID32HQ9JBCYBgDSEBECx/tS4CIhBRAnEWAL8O6hHIbUcRnSrqtgcCEgAeYEU8qwRAsAaUAAiWv1oXARGIKIFUAuD9azqgVcM6OR1VroOAJQByat5YNSYBEB9zSwAEa2sJgGD5q3UREIGIEpAAUBBwRKduqLstARBq8xjtnASAUZyeK5MA8IxMBURABEQA+O2vVeiWJAYgDicAvwzqjuqVK2oaiIBxAhIAxpGGtkIJgGBNIwEQLH+1LgIiEFECqQTAB9d2QN7uZdsFSAIgopM2At1esHwdDhumIOAImCrjLkoAZIwwowokADLCp8IiIAJxJZCOANiydVtOXgXOdQxA/sDuqFFFJwBxnfvZHLcEQDbphqtuCYBg7SEBECx/tS4CIhBRAqUJgJvemIRxUxfhxUvaZz0oWAIgopNI3S5GQAIgPpNCAiBYW0sABMtfrYuACESUwLQ/V6H7g8XfAaALUMsGtdG414fWyOrVqoIJvbtmdZTZFgBXvfwDPpz8Z+EYdAKQVXPGunIJgPiYXwIgWFtLAATLX62LgAhElEAqATDyug7Yt35tNLmzQAAwZfsxo2wKgJl/r8FRIz4rYqUpA7ujplyAIjpzw93t+cvX4XDFAITbSIZ6JwFgCKTPaiQAfIJTMREQgXgTiIsAmPrnSvR48HMJgHhP95yNXgIgZ6gDb0gCIFgTSAAEy1+ti4AIRJRAKgHw4XVHoHn9Wti7jJwASABEdIJGtNsSABE1nI9uSwD4gGawiASAQZiqSgREID4Eki2MOXoKgGa71kTT3qMKYUTZBSjZOCcP6IZaVSvFx9gaac4ISADkDHXgDUkABGsCCYBg+at1ERCBiBKQAJAAiOjUDXW3JQBCbR6jnZMAMIrTc2USAJ6RqYAIiEBZIrBt2zaUK+f9qyiVABh1/RFoWq8m9inDJwA/D+iG2joBKEt/BqEZy7xla9Fh+Kc5Oz0zMfD8/Hzk5eWxKv4j30SdcajD+6duHKjkbowSALljrZZEQARCRoB3+V/07AR0bF4PQ09p5al3vy5ciWMeKhocywooAPbepSaa9YmOC9CKdZtQu2rFpEIomdCRAPA0VZTZAwEJAA+wIp5VAiBYA0oABMtfrYuACARIoPOIz/DH32usHvx29zGoXLF82r0pKwLg/Z8W4PrXfsSZB++ZVARJAKQ9JZTRAAEJAAMQI1KFBECwhpIACJa/WhcBEcgBgfWbtuBfn/+BFvVro+t+uxa22Kz3KGzcstX672l390CVihXS7k0qATD6hiPQeOcaaN5ndGFdYQ4CLu0NgWTj/Kl/N9SpphiAtCeLMqZNQAIgbVSRzygBEKwJJQCC5a/WRUAEckDgvrHT8Mi46VZLbvcVtwCYelcPVK1kRgDsVbcGWvSVAMiBadVEGSMwd+laHHGPYgDKmFmTDkcCIFgrSwAEy1+ti4AI5IDAEfeMw9yl66yWxt/aCY3q1rD+fyYC4JcFK3Hsw8VjAHgCUJYEQDIXIJ0A5GDSxrQJCYD4GF4CIFhbSwAEy1+ti4AI5ICAWwD879ajsGfd6sUEgFcXoFQCYMwNR6JR3epl+wSgXzfUqS4XoBxM3dg1IQEQH5NLAARrawmAYPmrdREQgRwQ6DB8HOYtKzgBSCUAvLoAlSQA9typOvbtV4ZdgCQAcjBr49mEBEB87C4BEKytJQCC5a/WRUAEckDALQA+v+0o7LFT8RMACQAgWbByMhegSf2Oxg7VK+fAcmoibgQkAOJjcQmAYG0tARAsf7UuAiKQAwKHDxsHvjDKZEoA5C9YgZ4Pf1Gs92NvPBINd6yG/fqNKfxdWbsFSAIgB5M2pk1IAMTH8BIAwdpaAiBY/mpdBEQgBwRSCoA+o7Bxc8E1oF5PAFIJgI9uPBK7SwDkwKpqoiwSkAAoi1ZNPiYJgGBtLQEQLH+1LgIikAMCuTwBoABosEM1tOxfNk4AkrkA/dj3aOxYQy5AOZi6sWtCAiA+JpcACNbWEgDB8lfrIiACOSDgFgBf3H4UGu6YeQzAlPkrcNwjxV2AKAB226Ea8sqIAEj2EJgEQA4mbUybkACIj+ElAIK1tQRAsPzVugiIQA4IHDb0EyxYsd5qqYgAyMAFKJUA+PimI1G/jgRADsyqJsoggTlL1uLIe/UQWBk0bbEhSQAEa2UJgGD5q3UREIEcEMi1ANi1dlW0GjC2cGRRDgJO5gI0se/R2EkuQDmYufFrQgIgPjYPiwCoBaAvgP0BHABgZwADAQxIMMXzAC5MYp5pAFok/JyvpNwJ4GIAuwGYCeAxAI8kKd8EwAgAnQFUBPA1gNsBTEyS9ywAd9jtLQXwBoA+AFb7mDYSAD6gqYgIiEC0CORaANSrXRWty4gASOYCJAEQrfkfpd5KAETJWpn1NSwCYC8AkwD8BOA3AJeVIADOsBfq7pHzfjmWdad/AjjfFhbfAehuL+q5WB/iyriL3fYyAP0A8Jy6F4A2AA4GQHHhpHMBvATgXwBe4Uv2AIYDmACgmw9TSAD4gKYiIiAC0SLgFgBf3tEZu+9QzRpAs6y4AHVEvdpVyrQA+KFPV9StWSVak0C9jQQBCYBImMlIJ8MiAJx+bLN3/xeXIABOA1CzlNFzYT0ZQG8AQ115nwZwHoCGALh7z3QPgBsA7ANgtv2z2gBmABgH4Ez7ZxUAzLXrpZhw0jkAXgZwLIBRHq0iAeARWNSyb926DcPHTEWl8uVxc7dmKFcuLH9yUSOp/kaZwKFDP8FCOwYglQD4dVAPVKvMj9n0UuoYgI7YpVYVtBlYdl2AJADSmyPK5Z3A7CVr0PHezwoLZtt9znsPi5fIz89HXl4ef8F/5JuoMw51hHE1QvefTAUAF/53264/f7oMeSiArwBwJ587+Ey/24v9HgkGf8o+QaAY2AzgcMavATgbwGuuvHQ1oph4FcDlHieNBIBHYFHL/u6k+bj+NR5uAc9c2BZd9t01akNQf0UgYwJuAfDVHZ2tazqZ3CcApgTAJzd3xM41qqDNoLIhAJK5AEkAZDwlVUEKAhIA8ZkaURQAdOuhQKDrzkIA79iuO86OPq3HxXgXAPUSTFnD9tXnqQDjA/gttMb2/78tIe/VAB4F0Nx2S7oCwJMAuGj/JSEvXYw2ATjM49SRAPAILGrZh476FU+N/8Pq9u09WuAfnfaO2hDUXxHImMAhQz7BnysLbgFKJQB+GdQd1SszBCu9lOoEIA4C4Ps+XbGzXIDSmyjK5YmABIAnXJHOHDUBcKNNe4r9744A+LM5tr++E4jLrZ89kwQGs9gGAAwm5oK+AYD5ts//sARLcqefpwRc1DMomIJhcJJTBRbjizOMY6BYSJUoRiha3ImrwXenTJmCli2pBZTKGgG3ALitR3Nc1alpWRuixiMCpRJwC4Cve3XGbnWKnwB4FQCT563A8Y8WfweAAqBujcrYf9BHhf3KthvDXneM9N1WaWWT3QIkAVDqlFMGnwQkAHyCi2CxqAmAZIhPBfAWgJsAPGBnoADYA8C+SQpQADwH4EqXAOCtPgzmdSdHANBt6BuXAKgP4K+EvBQAjVIIDicrbzTqn2wAuRQAX/z+N579ciau6dwUB+65YwSnbLS6LAEQLXupt9kh0H7Ix/hrJT96gVwIgJ2qV8YBd20XAH8MORbly2fv6660RXxJVEsrm8wFSAIgO/NUtQISAPGZBdn7RPTPsKQYgGS1lgewEgC3YJyA3TC6AIXiBKC0Lxv/ZlPJZAQkADQvRABwC4BvenVB/TpVLSzuGID8gd1Ro0r6LkCpTgA+vqngBMAtAPoetx8u7dA4a6bI5HO1tLLJBMB3vbtagc5KImCawKy/16DTCAUBm+YaxvrKigBYBeA9O0CXnFO56xxiu/O4g4B57Shv/DkmwUD0978AgBMETFegLwHwHYDXXXn5jcUrRCMRBFzal00YJ2mU+zRs1FQ8OZ7TC5ALUJQtqb5nQqDd4I+xaFXBCUAuBAAfyTrQdQLAdrPpBpTJ52ppZZO5AEkAZDIbVbYkAhIA8ZkfZUEA8F0ALsh5ledDtumca0B5n7/btcdZ1LuvAeXvWZbO2bzmk4kPkznXgHLBz+RcA8r3Btxigb/n4p8/G+1x6uQ8CLi0LxuP/Vf2UghIAGiKiADgFgCpXICmDOyOmh5OAH6etxwnPMo9maKJJwA7Vq+Eg+7+uMgvoiYAfpi9DOOnLcIhe9fFOf/8tshYJvTugnq1Ck5RlETAJAEJAJM0w11XmAQAF9C8pYeL72cBvGm/skuCH9oBtAzK5RWc0wHwzQAGAXPxzsV6e/tGH4e48xAYH/7iLT18qIuCINlDYFzU/23fJsRtKsYE8EXidgCmukzINwReBMD3BLjo59sBfEfAqd+rtSUAvBKLWH63ALi1e3NcfZSCgCNmQnXXAIGDB3+MxfYJgFsANO8zChs2b7VaMCcAjsSO1StHXgA4mzV8NG3+cr51uT1JABiYlKoiKQEJgPhMjDAJgFl2IG0y+nTeXMGr1O2FOS9T5448H+56237Zl793J97Pz/cALgbAwF3Wz2s9H0nSAG/jGWG/MEyXHt76w2tBJybJy+BgCoQW9v3/b9jtODcQeZk9EgBeaEUw7/DRU/HEZwUuQBIAETSgumyEgFsApLoG1KQA2KF6ZbQ1cAKwfO1GbNqyrVR/+0xOVlOVdf880QgSAEampSpJQmDm32twlGIAYjE3wiQAYgE8YZASAAFa/fXv5uC5L2dh0Il5aNd4p6z0RAIgK1hVacQIcDH+9+qCGIBUAmDygG6oVZX7Numln+Yux4mPJXMBOhJ1qlUGRYc7eXUBWrV+Ew4bNg4bNm3F+Ns6wbm6NFnvci4A7uyCerXlApTeTFEuLwQkALzQinZeCYBg7ScBECD/TL600+22BEC6pJSvLBNwC4Av7+gMurUwuV2ATAmAj248EjwByFQAvPjNbPR9p+DJmXPa74khJ7dKaaJMPkt8nQBIAJTlP5dAxyYBECj+nDYuAZBT3MUakwAIkH8mX9rpdlsCIF1SyleWCbS9+yP8vXqjNcRUAuDnAd1Q28AJAAVAneqV0G7wJ0WQej0BeOmb2egjAVCWp6XGloSABEB8poUEQLC2lgAIkL8EQIDw1XSsCLgFwBe3H4WGO1YvdgJgVABUq4R2Q8wJgLPb7Ymhp4TnBODbO7tgV7kAxepvKFeDlQDIFeng25EACNYGEgAB8pcACBC+mo4VgYPu+ghL1hScAJgSAJPmLsdJSWIAxtIFyIAAePnb2ej9doELkARArKZrrAf7x+LV6Hzf+EIGXk/OgoCXn5+PvLw8Ns1/5AfRhyi2KQEQrNUkAALknwsBcM/oqXhctwAFaGU1HQYCbgHw+W1HYY+dip8A/NS/G+pUSz8IuCQBwHraZ3gCUFQA7IGhp7ROiTKTzxI/MQDux9TCYF/1oewQkAAoO7YsbSQSAKURyu7vJQCyy7fE2jP50k632xIA6ZJSvrJMgK/yLrVPAHIhABhLcMjQzFyAXvl2Du58e7JllrMO3gPDTjUvALZs3Ya97+QzNwXJvdta0jWgURYAfBtl0ar1lktVlYq8zVspTAQkAMJkjez2RQIgu3xLq10CoDRCWfy9BEAW4apqEXARSEsA9OtmBe+mm1KdAIy5gdeAZi4AXp0wB73+m10BcMWL32NM/l/FBMDWrdvQxCUMEplEVQB8P2spTnuSz+wAt/Vojqs66WHEdOd7rvJJAOSKdPDtSAAEawMJgAD5SwAECF9Nx4rAAYPGYtnaTdaYU54AeBQAP85ZhpMf/6oYRwqA2tUq4tCh44r8Lpkv86YtW/GfH+Zhn11r4qBGRd8CcQuAM9vugeGnmT8BSNzld/q4ectWNO09KuUccb+mHKWJ9O6k+bj+tUlWl49v0wCPnH1AlLofi77OWLwaXRQDEAtbSwAEa2YJgAD551oA3NKtGa7pvE+AI1bTIhAMAbcA+N+tR2HPukliAAwKgFpVK1qPeLlTMgHw1PgZGDpqqpXtl0HdUb0yH4IvSK9NmIM77BOAM9o2xD2ntUkJz+9nSSoBsHHzVjTrIwFgYrbOW7YW705agBPaNCiMPTFRb1mtQwKgrFq2+LgkAIK1tQRAgPz9fml76fK9Y6bisU9nWEUkALyQU96yRGD/QWOx3D4BSCUAJvU72nrAK92U6gRg9A1HWO8JpCMADh82DvOXr7OadJ9M8L/5Uvjt/ylwAcq1AFi/aQta9B2dEoVOANKdJUC7wR9j0aoNqFujMn7oe3T6BWOaUwIgPoaXAAjW1hIAAfKXAAgQvpqOFQG3ABh/ayc0qlvDGr/7JWCTAqBW1Urg4t6dkp0ApCsATj+oIe49PXcnAOs2bsG+/VILgK/u6IwG9mvKUZpIQbgA5eJzPko2KK2vEgClESo7v5cACNaWEgAB8s/FF4NOAAI0sJoODYE2A8dixbqCGIBUAuDHvkdjxxrpnwBMnLMMpySJAeAJgAkB8MZ3c3Hbf362+pxrAbBmw2a07D8mpf0kANKf2rn4nE+/N+HPKQEQfhuZ6qEEgCmS/uqRAPDHzUipXHwxuAXAzUc3w7VdFANgxHiqJFIE3ALgs1s6Ya+dC04AWvQdhfWbtlr/35QAGHU9BUBFdBj+aRFGXk8A3vh+Lm57q0AAnHZQQ4zI4QnAqvWb0GrA2JQ2/vKOzthdJwBp/Q3k4nM+rY5EJNP0RavR9X49BBYRc2XUTQmAjPBlXFgCIGOE/ivIxReDBIB/+6hk2SHgFgAN6lTFPy9si5YN6hRxATIpAGpWqYgj7ildAHQYPg7zliWPAXjz+7m41RYApx7YEPedkTsXIJ6WkFmqJAGQ/t9GLj7n0+9N+HNKAITfRqZ6KAFgiqS/eiQA/HEzUioXXwwSAEZMpUoiTsAtADiUapUq4Ne7ehQRABP7Ho2dPLgA/TB7GU59ovg1oDwB8CMA3MHJ7GOQAmDZmo044K6PJAAMzPtcfM4b6GZoqpAACI0pst4RCYCsIy6xAQmAAPnn4othxJhpePTT6dYo5QIUoLHVdKAEWg8Yg5XrNxfpA11y3C5ApgTAh9cVuAAlngDMHHosypUr+pV3xD3jMHdpwQlASQLglAN3x/1n7J+Sod/PklTXgC5ZvQEH3f1xyva+uP0oNNyx4CrVKCUFAYffWhIA4beRqR5KAJgi6a8eCQB/3IyU8vul7aVxCQAvtJS3rBJIRwD80Kcr6taskjaCVCcAFAA8ATjy3qIuQI+ecwCOa92gSP0lCYC3fpiHW978ycp/ygG74/4zcycAFq/agIMHSwCkPRlKyJiLz3kT/QxLHdMXrULX+/9X2J1ksTNh6avTj/z8fOTl5fE/+Y/8sPUvrP2RAAjWMhIAAfLPxReDBECABlbToSHQasAYrEo4AeCOPK+6dIKAsy0Azmm/J4ac3CqlAHDfTsRMfCH4ZlsAnHzA7ngghwJg0cr1aDfkk5T20wlA+lM7F5/z6fcm/DklAMJvI1M9lAAwRdJfPRIA/rgZKZWLLwa3ALjp6Ga4TrcAGbGdKokWgWQC4K0rD8V5z3ybgQBYilOf+LoYCJ4A1KhSAR3v/azI7y46bC8MOIEfudvTkfd8ijlL11o/SBRPcp2FAAAgAElEQVQA/504Dze9UXACkGsB8OeK9ThkaGoBkPhoWVRmg1yAwm8pCYDw28hUDyUATJH0V48EgD9uRkpJAJSMcdzUv/DtzKW4qlNT1KlWyQhzVRJPAq36j8GqDUVjAF68tB3+74XvCwXA9326YmdPLkDJBcDI6zqgYvny6P7gdjcGUr/iyCbodey+kRAAC5avK/aSsbvjEgDp/R19N2spTn9yu0iMgjtLeiPLXq4oCIBnvpiJt3+ch+GntrZuE5MLkL/5IAHgj5upUhIApkj6qEcCIDW0rVu3ocmdH1oZSguA9IFeRco4gf7vTsHP81fgqfMPQr1aVZFMALx0aXtc9sJ3WREAj46bjlFT/ixC+drOTXFzt+YpBYD7fQJmcp8AnLR/Azx41gEpreb3syRVEPC8ZWuLvWMgAeDtj+anuctx4mNfFikkAVA6wygIAOfvhhtTP/XvJgFQulmT5pAA8AnOUDEJAEMg/VTj90vbS1v3jZ2GR8YV3AJ0Y9dmuL5rNB4C27J1G/a2BUD5csAfQ3t6GbbyxpiAe/Hao2V9PHn+QcjrPwarE04AEgXAd727YpdaXoKAU58A9Hz4i2IWSHYLV8d7P8XsJQUuQIkCgDuMN75e4AJ04v4N8FAKAbBt2zY07lUglpm8LDJTCYA5S9YWC2IuawLghDYN8PDZqUVVpn9Cvd+ejJe/nSMB4BHk73+twtEPhDsIOPG7WycAHo1sZ5cA8MfNVCkJAFMkfdQjAZAamgSAjwmlIhaB3/5ahW72AmKfejXx0U0dkwqAly9rj0v/vf0EwKsA+H7WUpzmcu9w8H9wbQcc90hxAdDrmBa4ouPeRazkFgCf3tIJje0XipnpnR/n44bXJ1n5S1qsZkMAzPp7DTqNKBrDIAHg7Q/szrcn4xUJAG/QAEgAeEYW2QISAMGaTgIgQP4SAKnhb96yFU17j7Iy6AQgwEkawaaTCYCW/UZjzcYtRUaTawHQ//j9cPHhjYv0odO9n2KWfQIw7uaOaLJLzcLfuwNWcy0A/li8Gp3vG5/S+olvFkRlmqTL1MR4JAD8UZQA8MctiqUkAIK1mgRAgPxzIQDuHzsND0fQBUgCIMCJGfGm/QqACb27WPEC6SavJwB3nZSH8w9pVKT6o0Z8hpl/r7F+5lcAuONlWI8JF6DEx5gSmUgAlD5LJABKZ5QshwSAP25RLCUBEKzVJAAC5C8BkBr+pi1bsY9OAAKcndFtOpkA2K/faKxNOAF45bL2uMTlAuRVACTe8OIQS+UCdPdJeTivBAHwyc0dsXeKE4Dj2zTAIyn81bMhABIXYRIA3v8eJAC8M2MJ99+vV0Hrr0XvpRQD4J1ZshISAGY4+q0lsgJgzYbN+GzaYhzetC52qF7Z7/gDLScBkJ4AKFcOmKkg4EDnapQan/bnqsIrOJ0YgLQEwJ1dUK92+icAXgVAshOAziM+wx/2CUCiAHjvpwW47tUfLfTHtd4Nj55zYFIzZEMAuBkmazTxzYKozI9cvgMQVgFw1we/gDcUPX7egZ5OvLJl418WrMRnvy3C2QfviR1rVJYAyBboENYrARCsUSIrAC5/4XuM/eUv7LtbbYy6/ohgKfpsPdcC4Iau++CGrs189ja3xTZu3opmfQpiACQAcss+6q0lEwD79h2NdZuKxgB0blEPX89YUvjzCdkWACe2xPmH7lUEb7oCoGfr3fBYCgHgDpj3umOa6hagXxeuxDEPfZ5yKkgAlP5XYkIAMMC7HD8ADSX3+w7ODVmGqk6rmhVrN+G5r2aiQ9Od0Xavnawyzhzs1HwXPH9xOwmAtEiWjUzmZnbZ4JHrUURWAORi8ZxtY+RiDO4YAAmAbFtU9WeLAG+l2bJtWxEXmVRtJXMBSiYAWL5qpfKF7wC4BcCQD38FffwfP/cg1K+T/FQg1QnA+9d0wPGPFr8FaNCJLXFBCQLg45s6omm97UHA7/+0ANfaJwC5FgD5C1Yg2VWmDvPEK0uzZXfT9UYpCHjS3OW47N/f4bjWDYq9IO2Xi9u1a+9dauCTmzv5rcpXuatfnoiRkxdaZZ1YlcTvQbkA+UIbyUISAMGaTQIgQP65FgAcKhcnrRrWCXDU6TW9YfMWNO8z2sqceAKweNUGVKlUHrWr6nXg9GhGO9fCFetw6NBx1iDSWXgmEwAt+o4qXOi7abgFwLd3dsGutavi79Ub0Pbuj61szq6kU4buNm98P9d6L6BW1Uo446ntr7w6eVIJgIEntMSFhyWcANz3Gf5YXBAEXKIAaLUbHjs3uQtQNk4AJs9bkVTESACk/7eU6QlAqwFjsGp9wevVXgK7S+qhWwBQbHLO5TIl+86TAMilBcLVlgRAsPaQAAiQf04EwEe/4eFPfi8c5U41KmNi36MDHHV6Ta/ftAUt+hYIAPc1oHzkiTen1KxSEV/e0RnVK1dMr0LliiyBJz6bgeGjp1r9v6JjE/Q6Zt8Sx+JFAFSrVKHQBcgRAHOXrsUR93xqtbH7DtWseeYk9w7yiNPb4JY3Cx7qcqdUAmDA8fvhooRrQDu7BMBBjXbEg2fujz12qm5V98HPC3DNKwUxAMe2qm+dRiRL7huz+Hsvi8VULkDJXrF1t52OEAvjhIvSCUA2vh/cfxthFQCJ8Sde5nOu5pyCgM2QlgAww9FvLRIAfskZKJeND/jEbt2fIAC8LhAMDNNXFW4B4D4BuPH1SXj7x/lWnfed3ganHtTQV/0qFB0CRQTAkU3Q61jvAqB5n1HYsHlrsUG7BcA3vbpY7j4lCQAn9ogVXdqhMZ75YmaxOt+75nCc8OiXxX6eTAB0ue8zzLBPAFjA7ZYx8ueFuPqViYEIgB/nLMPJj3+VcpIkPloWldkkAVD8kbxc2i6dEwAJgFxaJNi2JACC5S8BECB/CYDU8CUAApyYIWu6rAiAZA+BJQoAt0B3C4Bj8urjifNydwLww+xlOPUJCYBM/hQydQHKxvdDsgD5TMbotawEgFdiZTu/BECw9pUA8MiftzIMfP8XrFy3CcNPa41KFcp7rGF79mx8wCd25oGPfsNDLhcg9wLDd8dzUDCVALjp9Un4r04AcmCB8DRhQgDwRineLJWYMjkBuOTwxnj2y/RPAPodtx8u6VD0JeCSBMCHkxfiqpcLTgBKurHF/WaG17/vVC5AqR45c/jpBKD0v48wCoCpf65EjwcLbndqtmtNjL0xfDEAOgEofW6VlRwSAMFaUgLAI//xvy3Ghc9OsEr1PW4/yw3Ab5IASE1u3cYt2Ldf8SBgtwCgD/ZpcgHyO/0iU86rAEi2y5mOAPi6V2fsVqda2i5AFx++F577clYxju9efThOfKy4C1Cyz4uu948HX911J8fnedTkhfhHQAJgwsylSQOcnX4mvloclckUdxcg9/WuzXethTE3HplT06VzAuAWKV4Fba4GoxgAM6QlAMxw9FuLBIBHcq98Owfc2WE6u90eGHpKa481bM8uAZAa3dqNm7FfvzFWBncMwE1vTMJ/JxbEAHgVAFPmrwCDiLvtVx/lGVmsFAkCmQgAZ5ezWe9R2Lil5BOAbAuAPj33xWVHNCnCPF0B0L3lrnjq/LZJ7ZWNE4Bv/liCs57+JuX8iKoAeOfH+bjh9UnWuE5o0wAPp3hd2cQfRhhPAPjo1rEPF5wAtKhfC6NvkADwY2sJAD/UipfRt7AZjn5rkQDwSO7VCXPQ678FAuCsg/fAsFMlADwiTCt7OgLg3tNa4/S2e6RV38r1m9B6wFgr7wNntsHJByh4OC1wIcj05PgZGPb/7J11vNzEGoZf6u7u7u7uXqBQaCkUp0ApboW6t7i1SKFAe9HiVnd3dy91dzfu783u7Jlkk41sVs5p5o/L7dmZycyXSTLPfDbJFwWIxSwqiKwBsAMAC19vhnxZQmsAnvxmOaZsOKyM4+F6RTB2oXUNgF0AmLz+ILp/6zMBCgUActK8UPJhaN0NB86gcoEsSO4HYCMToIXbj+G+MUsM7742a3EcLBNLQ/AAwAMAfgs+mLYNjLrF/BpOigcATqTmAYA7UnOvFw8AbMryx6V78LofAO6pUVDxA3BaPA2AseTOX76G8gOCNQAv/7QGv67cpzS0AwBMqnOH3yyjUoHM+OuZBk5vm9cuyhLQAsCqfi2RNX0q1Si4YX1zyhZ0b1QMxXJmQOsP5iq/l8yVAdNeaoySfSbi6vX/gkYu+wC4BQB/PF0/sNbkC+oBQMv35mCbgQmQ2wDApFLTNx1BtwZF0ffWcsrQjABg/rZjuP9LDwDCWepuagB2jWjnSkZgOcHbzaoBeP3Xtfhx2V7l1m4e0gZpUia3fZs9ALAtMt0GngbAHTk67cUDAJuSG79sD1771acB6FyjAN66u7LNHhKqyy+RH5+ogzrFsjvuy6hhYnUCtgIAb91dCZ0tagBkAKhcIDP+9ADA9bUWqQ61ALCsTwslEZdc5Gdp6ouN0Or9+AOAPu3K4vFGahMgqwDQqlxufP6gvgmQVQ2Amf015Sm0K3O3HsWDfl8nvfvqaQDMVzs1xdQYy8VMe2W0pncOb+eK2aIMAGXzZsKk5xuaT8TFGmZrkPKJtA9ApYFTcMafYG11/5bIkk59mGBluh4AWJGSeR0PAMxlFMkaHgDYlK4MAJ2qF8DbndwBAPnja3NIIasnVgA4d/kaKuhoAJh46ZcVPg2ABwBurpT47StaAMCEX0z8FSoPgGwC9FDdwhi36N8gwRlpAHq3K4MnGhVX1W/1/hxsPWzuBNyyXG58YQAActbsUO8Rs82X3Hb2liN4+OtlhotCm7U4flePemTRNAFyEwB2DG8XMNsKR9b0g7p15Hyli2gDADO41xzmy7AtrzXtupQdlSPxXaw2ZBpOnL+ijGFF3xbInkF9mGBFvh4AWJGSeR0PAMxlFMkaHgDYlO5Py/ai569rlVaMQENHVKfFSP3utD+9dh4A+KQiJzbyNABurrDI96UFgKV9miNXxjSqC7uhARAAsOf4BTR625cJuEDWtJj/WkIm4PvHLMH87ceU34wA4Pce9XSTaPVqWwZPNrYOAHIY0BZlc2PMQ/oagEgAwKzNR/DI2KQNAB2q5MOHXapGbAG7CQDbh7VFijBCTotJygBQLm8mTIySBmDn0XOKWZ5shie0IdEGgBpDp+PYucuKSPTeJVYWhAcAVqRkXscDAHMZRbKGBwA2pfvT8r3o+YsPAO6qVgDvdo5vAPhg+lZ8MH2bapZ21NA2xeNa9bOXrqKi32lXjgLkVAPgAYBrtybqHbkBACV6T8S1G6F9AOa/1hQFsqaDEQBoN3QP1i2M/+loAIwA4PW2ZdDdBgDIicAiAQDMaVK010TV/RS25jM2HcZj45Yb3mtPA2D+GLgJANuGtQ0r50ysAeCRr5di1pajut+haANArWHTceSsDwBE9m+ju3njxn/Yf+oiCmZLZ3jgwO/phg0bUKFCBdbh/2wwXx1eDUrAA4DYrgMPAGzK/+fle/GqHwA6VsuP9zpXURIM8YNZqWAWxYTAaomGBiCxAoActccQAO6qhM41rUUB8gDA6qqMbr3J6w/h09nb0bNNGdQvkUP34nYBYMoLjYKcgLXPmrhQulTJceHKdeWfZgCg7eOBOoXxzeJgEyAjAHitTRk81UStAWj9/lxsOXxWd2OkBoBcGPNQTV35yEnzWMEI8LUbLW5uivXWB4BpGw/j8f+FAoBGKJErY3QXiwtXS6wmQFuHtkWqFM6TTuoBQPl8mTDhuej4ADB3DnPoyCVWGoB6I2bgwOlLylCE1s9oab3w4yr8sfoAht9ZEffVLhSo5mkAXHgYPQBwR4hh9OIBgE3h0f6cp9AsAgDembIFo2ZtV/5m53TdAwBj4RsBwKs/r8HPwgfAKQAUzAIma/JK7CVgJRJWuADAiDcieZ92xnIUID0AKJgtLeb19JkAWQWA33rUQ8dPFgYJt2eb0ujRpITq76EA4J+1B/DM96uU+s3L5MKXD0ceAISz6ZQNh/DkNysMF8j0lzwAMHt63NQAbBnaBqlT2I9Wox3jun2ncdsonw9AvAKAnKvA7jfV7J7w9wZvzsS+kxeVqnNfbYpC2dWn+3IfRu8nDwCsSNq8jqcBMJdRJGt4AGBTur+u2IeXBQBUzY/37qmi2hjEGwB8OH0b3p++VTVLO2O0KR7Xqp++eBWVB/ni9ssaABkA3ryrIu6pmXAqE+riKg1AIgYAxrhft/80bquc15UNgWs3zGFHkQCAxxsWxRfzdikjYh6Ag6cv4aw/6od2mDIAzOvZVFH1yyZAoQDg/jqF8O1idZQX9v/5A9XxhM7m+dXWpfF0UzUAtPlgLjYf0tcA/L3mAJ79IXIAcP3Gfyiu0QAIAJCzEOvd2mkvNkLJ3IlPAyCHgIx0IjA3AYDhKhkYYe2+U2hYMqdjcyC2v32UL0t1hfyZ8M+z0dEAPPz1Usy2aAIUaQBo9NYs7DlxQZHB7FeaoEiO9IZvLw8AHL7YLTbzAMCioCJUzQMAm4L9beU+vPSTTwNwZ9X8eN8DAJsStFZdBgC2ENDS85c1+Gm5LwqQHQBYuedk4FS2sgEA0JTLDTW7tRk6qyU+SM82K4GXW5V21kkctYoEAMjTIwAcOHVJ2TzpFdkEyC4AdK1dCN8tCQaAjKlT4KzO9V5pVQrPNCupGkYoAPhrzQE85weAZmVy4SuXNQDXrt9AiT6TVOMR0WZk86OkBADyeos3AKCjLM3RKuTPrIhcHisBoMGbsxTnVfqR0J/ESZEBoGL+zPj72ejkQ4knAGj6zmzsOnZeEZ9ZOFsPAJysMuttPACwLqtI1PQAwKZUf1+1Dy+O9wHAHVXy4YMuVT0NgE0ZWql++sJVVB7s0wCw6AHAGx0rokstaxoAGQCqFMwChmqUCzPNfrVgFz68pwraVnSWHdLKvMKpo3XaTAyaHLP5WgGA0XN2YISUCdgsCpB8TSYCoxOfsPPXjicSAGA055dalsJzzZ0BQNPSOfH1I7V0u3bqA3D1+g2UNAAAWfvgAYDZKtb/3Y4GgBt7Rqdh+fuZBqhYILPqu7JpcBuU7T856H1od2Rr9p5CB39CxJsVAFq8Nwfb/cn3zDRZHgDYXWH26nsAYE9ebtf2AMCmRGUnMhFGzsomRu8y0fABSKwmQKcuXEGVwdMUsckmQK/9shbjl/uyOLoJAE7voc3lE1Z1rdOmBwAJ4jRy8iUA7D15AZeu3tCVvR4A/Hv8PBq/PVupH8oEiE6B3+toAIxu8ostSuH5FtYB4M/V+/H8j6uV7qINAPK19ebDZGulEqEJkLxO4ikMqNa09LW2ZVB7+IyA6DcObo1y/X2Z0VmcPvsyAEQzI3o8aQBkv5vJLzREmTyZDN/LHgCE9ckybewBgKmIIlrBAwCb4tWLIuF085gYAYDhOc9fvo48mdVx2G2K0bS6FQAY0bEi7rWoAVjx70nc9anPMVNPA+D0HppOxMUKWpttp5sAF4cUdldW5B6uBuDf4xdw5bozACiULR3m9myqzFP7vNoFgOebl8SLLUupZNb2w3lg4iO5iPsqb8IJMtNeaqwr74tXrls6HdbKWptBmJ2LePPye84DAGfL3I4GQBtees+J81i2+2TgwhsGtUZ5f2LEcABAzogerwAgZysOZ65Gd002u5vwXAOUz+czudIrVgCAUccuHt6NqlUqsQsvDKiNx8UDABvCikBVDwBsClX+KN9WOR9G3nvzmAAx4VBDvx0qTwAjGQbw5PkrqDokWAMgO/E5BYCqhbLg9x5qEyArG1GbS8X16lqb7aQGALwvdYtlV0KCyiVcAKC9r14OAF5D1gCIiCCyBiAUABA+f1ga7ANgdONp/kMzILmEAgDtJtwoEowTAGAUrDJ5M6J03wSzEhkAZF8nDwCcPcp2AECbYV5EOhNXXj+odSAzejib4liFQ7aTByDSAHDryHlYv98H3X89Ux+VCmQJCwDYuGK6M/hnwH0eANh8VDwAsCkwl6t7AGBToDIA3FopL0bdVy2ufQA+mrEN701zJwrQ3K1H8eBXSxWJNSyZA988Vtum9KxXlwFA/uA5B4ATuOvTRcoAEisAaG22kxoAiNXB0870qVMEFku4ALDj6Dno5ABT+o8mAOg5brf7cB42GmgAtAAw8+XGKJYzQ9BD5AQA2AmBQgsAIuGUHO5Y76nlqWfpPIkvClC8mgD9uHQPXv9tnSLqe2oUDJg5CtmvG9gqkBgxHACwEgzB+lvaes14AoAOo+Zjzb7TyuAZsrdaoaxhA8CVo//i4FdPewBgfUkoNT0AsCkwl6tHFQAuXLnmih0jZRCrE1s5Mkf7Snnx8U0EAAu2H0PXMUuUJViveHZ8/3gdl5djQncnzl9BNb8GwG0AqFYoC35LhBoArclGUgWANf1bIXO6lK4BwDa/w5/eYpUBYM6rTVA4e3rsPnYeTd7x+QCE1gAUxA9Lff4oVsozTUvgldbqyE2hAODjWdvx9pQtga6ZYKyqzmZF+15lsjEmHdMWrQkTnalrDUuwM2f9tQNbIVOalPhp2V70/NWX8VyveABgfsftaADoS9L7dx8A3FsreF3xvlTyZ0aX34fmo1DXMAuGYLc/q/XjCQDu/GQBVu05pQz95+51UbNINsNpWDEBYmMPAKyuBHU9DwCcyc2tVhEDgG8X/4vZW45gcIcKyOfPjtvl80VYvPNEYOzhbGBiBQBydIz2FfPi4643jwZg0Y7juPeLxcr9q100G8Y/WdetdRjUz/Fzl1HdHxVDdgKWNQDa7IyhBrPi3wQNQGIFAJpgiRNbWSYRuwlR6FjPeXfNgFbInDYBAD6fuwPDJ24OjMZOFCCGAd16+JylmdgFgC41C+LHZdYBoEeT4kHmTUYAwKyp2uRlqZInw9ZhbYPmogUAow2iVtYMg8kDDbkwh0Kf9uUgn0jrCc/MedKSwGNQKV41APxe9v1jvSIRPd8SPhMiL0o4AGDmCxWpW2IHANbvP41bR/qSlYUzV6O50BeMcmD58Yk6qFMsu+G0PQCI1Irw9RsvAEBdZj/6B9JCAABz0g8CMFBn+tUAvAWAx58MLj0TwCsAdurUfRYA9UJFAfBNOxbAcABXNXVz+fu8lVppAIwz2ZdhanX6bAFgCIDKAJjN4h8APQEccXCrIgYA4sGpWSQrfu5eTxmantMrQxueuXhNdeJnZR6xAgA5O2e7innwSdfqjrUR0XACdtMEaNnuE+j0mc+MpkbhrPjlKd99jUSRAUD+CPT6bW3g1NUOACzffQJ3+8eeWAFADvd4UwNA7+bIlUnthG4UBSieAEDvZL79R/Ow4UCwE3DJPhNx9fp/QY+W3qGJUwDIkykNDp25pLoG5TX1xcZKdCNxIq33fHsAYP7Ws6MB+GbRbvT7c4PSqV6COWrF9MIim49CXUMGAD1TSLv9Wa0fTwDQefQiLN3lO4j8rltt1C/B7Z5+8QDA6h12Vi9eAKAIAMZb48abBtPdDACAelUaQbPuGwD4FRoMgEZkhIejkhj6+DfqrMeA5szjPhTAOABPSPVSA1gOgJ4or/s38oSG9gC42Z8j1WUYCAYLngDgYwAEhzcBEGdrALhs8zZEHADkzZvehvel8avxx+r9iimNnfjrsQIAOUFO2wp58On9Nw8ARPPjIcfFNgKAYXdWQNfahS0teRkAqhfOil818OJ0PU3dcAgT1h3EK61KK1lkI1lkAEh2C7BzBF8Ribs40gBECABEVlDZBKhw9nSY86p+FCA9W+1Qd4NOw4zm06hUjoADvREAMEMvoz5pix4AnL98TRUhRn5e5PZaWesBQIlcGTD9pcaQT6T15hRpAKC/0ZQNh/BMsxLImzmta4s8XjUA4xbuxoC/fADwQJ3C+Gbxv6o5r+7fMhAW2ej+WhGSrAmNJgA8OnYZZm5Wn1HuGtEOt9xyS9ABWqQ1APd+vhiLdh5XxDXu0VpoXCqnoeg8ALCyqpzXiRcAEOPgG5c4yI28ngbgJ4ZkBlAcgDi24Q5kG4D3AbzmFwV1SkxX+j8AT0ri6e2HAIaK2uj/ew//Zp7Hqb7jVYAecIQR6q5lT0vCB/NW8/RfpLZkO+b2Zj+f2rwVMQcApxsvp+1syieo+sR1B9Hju5XK3282AJBDyFUukBl/PhO5LJLGALAuEHll6B0VcH+d2AKAWIdi4xTu+grVXnb2TMoAIOzQhSyCTIBsAICd+2EXADrXKBDISm3nOvIGLpYAkCtjahw5qz4zKpYzPWa+3ATyibTe3CY93xBl8xrHT7crD2198VzphewNp+94BYCvF+zCoL99W4KH6hbGuEVqAFjVr2UgKhrrvNq6NJ5uWsK2KMw0obY7tNggngCg65jFWLDdBwBfPVwDzcrkNpyFBwAWb7DDavECAPLwjQCAm3Ju+rmp766ZLzN00MxHxHjrCuBbADSS9hlN+wpTjNIUiNoBmgKxMNZhQQBar61e/joFAOwHkN8PFfw7tQpyoacY3xitbN6HiACAUcZSPQ2AlY08Vdwv/Lga+bOmxYDbOOTYOQFPWncQT/kBoE35PPjsgfjWAIycsQ3vuhQFSD6ZKZ8vEyY819DmcrNe/ejZy6g5zJcZk0WcfNIsQSRfsgMAsvmSmxqAUOuX1xw+cRMerV8UDBkbbpFNPZInuwU7hrcLt8uYt9fTANgFAO37xumkZr3SBEVzpAfDhjb1OwGH0gC4AQBySEJ5rZfoPVE3dKmbGoCcGVODz5lciuVIj5mvNIF8Iq0nz2gBgPzsO72vcrt4BYCv5u/C4H98APBwvSIYu3C3aror+7VUBUVwKhczTagbMtbrQw8Adg5vh2TJoq8BuH/MEszffkwZpgcAkbrj1vpNTADA8A30RKN5ziea6b0N4GW//T6NKkf4zXkYs+28pi61C9z0K0FjARwEMA9AZ0096vdp39/ab0LE/zJoM/8+UVP3ZwAMbG53l5EoAODNyZvx6ewdypRFJAwr4GBtCdqrNXn9QScxoAkAACAASURBVHT/1qcBaF0+N0Y/UCOufQDcBICNB86g3UdcqkCZPBkx+YVG9oRno7YVABhyRwVFXW6lmPkvyOtped8WyJGBlnnmJdQ6dHuNyqYeHgAk+ABoMySb3zX9GnYBoFP1AtDGa7d6bbGRdwMAzl2+pooRzzHogYIWtvQAoEj2dEqELDkCl96cJj7XEOXyRV4DYDQXq3LW1otXABgzbyeGTtikDJcHBl8t2KUa+oq+LQJBEcQPToJoGB2EnL5wFc+PX6WEdu3VtqxT8Rq2i1cA+PKhGmhe1tMAuH7DLXaYmABAmNrcS+dxzfzEaT034NzQfw7gQb+PgFYUPK0n3nNDz3KFIKqjVaD2gKlLCQo/+P/7nY5WgX2M5sEBgFC7FvoLaI3daMr05/r161G+vO9k3Y2i/SCLF5VTDcBjY5dhht9+8IsHa6BludyON93hzm/y+kPo/u0KpZtW5XLj8wdvHgDYfOgM2nzgA4BQmUnDlTHbHzl7SRWiUKyhPr+vw3dLfMmX7AAAnb7o/MWi58CsXZt925dFt4bFgqZy+MwlEEiblM4FRlGJJgDIG72kDACmUYA0JkDaBGlO159dALi7egEwXr6TItbzbSPnY91+X0xyUfibHQ2AmwBAjUeFfJkVv5ZQhQDAEKpLdh1XtFvpUiXkbXAiD20bt+FZ9B+vAPDF3J0YNtEHAN0aFMWY+WoA4KFEDX9UNHmd2JW10UHIa7+sDeQeEKZwdvs2qi8nH5PrUIPJ95j2XkfaB0DWAIx5sAZalPMAwK17bbefxAgAXQCM10xUAABNfA75AeABAHreSwQAPt1t/H0QAL4E8JSmTwEAAjgIAgQARh/yBWNPKASAhwyAQ9RiRKMBejfIbQCg8xqd2LQvKqcA0G3cMkzf5HMgijUA0DHtyW98AEAQ4Xicfqz05GH3ATKrP2rmNrwz1Z1EYDIACFMBs+s7/f3ImUuoNTwhCJabACBHptLbGIT6wMoOZBxTNAHg7KWrgWRAKZLdgu1J1ATILgBo8yM4XXMi0ZZsAsS+GJbxvlqFVKEJ+fdIAoCdKEBOASBHhlQ4do6fn4RSMFtaHDlzGZev3QgpRgKA0AbSGfrNuys5FbtuO6fv1FCD0JqKdaiSDx92YdC/yBQ7UYA+m7MDb0zyhbp9olExfD5XHVRwWZ8WKpNI1nOiATA6CJHD0f7zbANUyJ/ZNaHomfmx81gBgOwD4AGAa7fZUUeJCQCcmADRYZehOuUSKxOgiGsA+IK9cv0Gkt9yC0r0mRSYc7gagHgFgBZlc2PMQzcPAGw6eAZtP/RpAGTbaEdPvkmjeAUA7cYkmgBw5tLVQDKgJA0AUiIwHiZ8OX+nOg+ARgMg50cIZy0aAYBRn3dVK4BfV0ZGA2AHAGQwFGO1YgKkBwD5s6QFHfDNAGDCcw3Q/qPIxWqPBABoNdPxBACfzN6Otyb7kr51b1wcBAK56CVtCxcA5IOQ1u/PxZbDZ5VLuu3fYQQA24e1RYrkyaKuAZABQBwoGj3jnhNwOG9U87aJCQCEEzDDeGpP62mbT3sB4QRsdFqfx28iJDsBM0QonYC1hncMCUpfAjr/0nFYOAHz7wz9KRceHdAuImZOwNz808Riy6GzSnz4Vu/PjQgAfP5AdbQqn8fxqbv5kgxdg2Efn/BrAFqUzYUxD9V0PBYjDQBNGvafuqhkJQ23uKkBkH0AuFFY8HqzcIdn2J6mNrXNNAAdyuOBuozga16W7DyOez73+eOHowEwAwDeuxfGr0ayW25RJVly8rHWzur0xauBZEApk9+CbcOSphMwQx5mSZcKi3cex+PjluPsZRHwzCeRpRoAkMOjmq8E4xozXm6M4jkzYOfRc2j2rhx9Wb9Nx2r58dtKxmewX8R6uH3UfKzdF2wCFA0A0Bt1vsxpcPz8lbgCAK1TuH1p+1poNdORB4CEnCVizEbvATnrM/NFCJ830Y5rXtaI8u9O3ilG78EW783Bdn/G7GkvNkLJ3EyN5E6xCwDr9p3GbaMiB5eyCZDYTxjN1AMAd9aAUS+JCQA4B5r+NAHA+Fs+XAYKSWFAuTlnYW5pfhmY+EuGBf7O6D9yGFD+Tqdi2bSHsMFcAwwDyr+LQtMfBhtnzoHr/j/ydxo3s5/PbN4u15yAtx4+G9j0M76wSLUtv6icmwAtx/RNh5WpxRoApm08jMf/x7QNQKQAgP3zOm/fXQmdapANnRc3AWDDgdOBU7+8mdNgUa/mzgdm0tIIAPr+sQ7fLvb7ADgEgFpFsuGn7uosxnofKbNTVD0TIKMMqk4+1loR0VFPJANKygDAkIdZ06cKShwo5PHD43VQt3hC9k45PGo4CzKeAKBUn0mKNlVb9NaRUw1AOLKKpgaAUXEG3m7NR+3UhSsY/PdGVCmUBQ9qDge0viLxBADye/rppsXx8Sy1BmBJ7+aqAxH5u2rnPsoAIL8HGfWKpm8sQhNmp99QdY0AYNuwtkipowGINADIGgAPANy6y876iScAYI51HrkSfemUy8g6jPvPQoN2mvIwVOcyAAwDIycC44bfKBEYT/HlRGAMI6pNBEajcoZUEInAGNP/Np1EYIQPRhD62w8NNOvhOHiEFNNEYPLpcPGc6bHjaELwo/BNgOIHAKZvPIxufgBoXiYXvnzYfQ2Am+pvNwFAds5iDPGlfZinLjLl0OlLqDMi2AdABoDBHcoHfeSNRmP04RP13QKAt6dsDvp4O/1Ya+fCzU2VwXz8gVTJk2HrML6yEnfRkztDHmYLAQBpUibD5iEJc9dLhOVEKrYBoGp+/LYqPA1Ah1HzsUZHA2AHAE6ev6KKEW+03ow2Yk5kRTvxW0dG7pRWHisTNTFh05q9p8B4+Q/XLwrmB9ArL/+0JmCWxey5mdOlDFS7ev0GSkqmqbECAB5uZEidAulTJzhOyxnbn21WAiNnbldNb3Gv5qr3odN3CrVqXfyaUBkAGr41E3tPXFSuOefVJq5on0O9W/lbtACApl8/r9gLRr1izH8ZAEY/UB2ty9MwQ7/ofYv1wg5fOfovDn7FAJHK4a4vo5tXTCUQTwDAyDxGMQUZ418E5q3uN8HhESJ10zMBvEKfFp3ZPucPG0o7BToHfw1gGICrmrp0Q38LwK3+E36e/vfzZ/3VdtvSn32YwEEoYajQV/0ZhE0FrqngmgZAPh2OJACIB9bNTbIdoc3YdBiPjfNpAJqVyYWvDACAdsm06WRccaNkVUYmQG7OTQ8ANgxqjWd/WIWCWdNiUAe+r6wVGQCyp0+FFf24FCNTDp6+iLoj+Gj5ioDIfn+sD2TJtAMARh8+vsy12Si115RnaGYCFEkAkDd6SRkAGPIwe4bUhhoAeT3w/+s5wTpZlcyAy4RuVk2A7qyaH7+HCwAfL1A2tnLhWi/VdxLo3KwtWg1A/z/X43+apFFa+Yg+EisANCqVE/97tJahqSWfYcogbark6PnL2oDIFr7eDPmyJMTh0DqLxwIA6DzdfuQ85MucFrNfbaKcgLN8MH0rPpjOfKJAxjQpcPaS2uyNc6n3RsL70Ogem637RTuO494vfKaQtYpmw09P+jSh9UbMwIHTjGAOzH21KQpldy+rudG62zq0LVKlCPYBcFsD8Ofq/Xj+R26pgHk9m4LO2SIPwGf3V0ebCh4AmK2bSP0eTwAQqTnGc78qAOCLdPwyHymHio2rNyEZAJhNcqeLGgBhEsPrxhoAZm4+jEfH+gCgaemc+PoR/Q/Te9O2gqc6LPNfa4oCWYNfqNEAANm2VNw3OcrEH0/XNzxN095n+cWcJV1KrO5v1+XE+qNgBQAG3V4eD9Wz5gOgBwDc6HUdswS1i2bDH6vpZqMuTkyAIgkAJ85fCcRn9wCA6VB8RXaOtr7CgmvGEwCU7jtJ1w5fuyaNNldmazccObFtpDQAe09cwH//AY3enhUYoh4AiAgyrCT7Zcnz0gKA1lk8FgDA/CmbD/mshye/0BBl8vhyKcjfC717w29IgzcTZMI6TswKF+44hvu+8AUR5HtvvB8Aag2bHsgKrdUAUMM2c/MR1CueXQFzuyXWANBtnNqCYNyi3YFMwB4A2L2b7tb3AMBdedrtTQUAMinbPQVQAUCO9NjptyeUX1ROfQBkABAPrJun5HaENmvzETwyllZgQJPSOTHWAADkBD9/PVMflQoEq6xjBQAEl1lbGIzKPBOiLBsZADKnTQmGa4xUOXDqourES3zs5BPPcAGgg87pqzwfs03UrhHtULSXOtxtJAHg+LnLgWRAPDnjCVpiL3qbA5GILdSJtXxvGLVGGyPdiVymv9QIJXJlxI6j59DcghPwHVXy6YKjlWuL8d/x8QKs1tEAhAsA3z9eG3WKZlcyrYoSLxoAfmcuX72BzjXV/k1asz8xbj0AGNGxIu6tRfc7YMCf6zFORwtiBgC8fx9ENAxosBMwTdsI8iw8jS6YzXcw9O7ULUFmP/I6Yt2Gb7kAANuP4b4xPgCoUywbfnzCpwGoMXRaICSsNg9Aj+9WYOK6Q6Bmf8bLtEK2V4zW3ZahbZA6RfIgzc7afadw+6gFgYs4AR15hKEBoBraVGD0dv2it8/QSzzomQDZWxOitgcAzuTmVisVADzxv+WYutHnbGtGxtoByOYhjBHvJgDojStmALDlCB752gcAwjZVHgs3hTQpaf7u7IAfxNQXG6GUTlSFWAEAwWW2AwCQX8yZ0qTA2oEil51byzGhHysAMPC2coo9sJWi0gD4Vd/yqZdeH2YAwFNIbb6Ld6ZswahZavtd9h3uR4x9yBtdIwBg+ECaqb3TqbKrdrxWZGylzvxtxxSH/h5NiiNXpjS6Zj6MeU4tpBUA+HL+Lgz5Z6OVS5vWsQsAPEH+U0dzZHohaT1ECgA4hjc6VkQX/yaZ/44HAKC5E8GbZewjNZWEeqLIdvCyDPUAgFrM3u18gfMG/rUBYxcKC92ElloA0EaLigUAyPOSAcDo4EDU56a8yTuzVUvLyTtloQQAdYtlxw9P+GKMVB08FScv+CyTtU7A4X5rQwEANZnaQxT3ASAhjxCdfmUNwKddq6FtRQ8ArLyzIlHHA4BISNV6nyEAIDQZay8hAwDt3kVEAXnz41QDEE8AMHvLETzsBwC9D5MAgPpvzFRCebIYOVXFAwB8/XBNNC2T8BEOtXTkjzftVNdFEAAoO8pQFPGxk0/7Yg0AjGOtzXcRSQ3A0bOXA8mAUqdIhi06GgCxpsrlzYSJzze0/iaIUk0xPuGAqLc5YMzzXBn14UC7Htzc1AoAYDhEhkU0K5EEgDL9JuHSVWMfgFC+K2LcWmdpN2X19zMNHIVqHDNvJ4ZO8GW8faR+EQy4LSG6jxEANCyZA988VlsFMI83LIo+7cslGQB4a/JmfDJbz43QdzfpoK7VSjkBgAXbjylmjywyAFQcOCXgdyCc4cU6ihQAbB5CDUDiAwBtOFnKydMAmL0t9X/3AMCZ3NxqpQKAJ79ZjikbhAbAOQAUyZ4Ou48n5D8LNwqQGgB84wr3peRUgDIA6H2Ydg5vp6jdqw+ZpsTTZpFPeuTrxgoAqLmYs9VnAmQHAGiqwBNLlkgDwL6TF1Q2r1YBQGyMtPdXz/mt9vDpOHzmsuFSMNMAMIqFHFWE9SMJAEfOXkKtYb7ISHoAoI1O4WSD4PS5sNoulBO16EPE+beiAXBzUyvin28/chYt3kvIY2I0NzcA4M5PFqhCJvNaihNwiDCgPyzdg7enbMGA28oFnBv1xsg1Qh8fOknXLJLNVQ2AUwCQNTba8J4jZ2zDu9PUWcs5L7337GMNiqLfrfYAQBsuNhY+APJ9kr8LIyZtwug56uy/cl3CqXZNOnm+ZQCgTf/3j/s0AOX6T8aFK77I4sIXJhoAQA1Asd5qM0r3NQDGPgCfdK2GdjY1AHIkQCEjDwCsfgHU9TwAcCY3t1olCgDQA5NYAQA3zg99tVSRfygAkF+oRv4UcQEAj9REU0kNH2phrdpzEnd+stAHAKlTYN2gyJkA2QUAbn4f/98KbDtyVolskTtTGtVUZAAQzm/hAgBt8BmtRRR+kCNpAiRnR9ae7nIM2jjnTjYIbr1YjPpJSgBwe+V8qmRvdmQn7o0RABTrNQE3/gvuUZt7wuo1f32qHu761PfsulGcAsBX83dhsN9kSwsAehHLjN6zsvbAignQhSvXFL+DqkN8YXRZYg0A8ndh+MRN+HyuMQBMeaERWn+ghlInzzdN8O7/0qcBkAFAjjolNGFCTuF+a40gnRoARkHSmlHKmmaOwck85TUeygfg4/uqoX0leyZAVQZPxSm/uZS4jgcAzt4qHgA4k5tbrTwAsClJGQAalMiBb7upVdMiOoX8AY83EyCVBsAGAKzccxId/QDAONbrIwgAjAYiO73paQB4AvqI3wdANkFrWyEPPr2f0XoTih4A1Bk+A4fO+ELf6RUzDQA/YGX6MQm4r0QaAOTkaHoAoI1yEu6H0+ajYam6FQBg0iMCXLQ1AMJXZ9vhs2gpZTI3mthtlfPh7zXB0aOsCMIMAIzm7hQA7qpWIBAf38r4zOowsIEdR02hmWMc/0F/+3w2wgEAua0RACzq1Qx5M6cFw+c2fXc2rl67gfP+U25ePzEBAMOHtvtonuq2OHm+ZQCoXyI7vuvm0wBwE07TFhZtJuBIAkCKZLcEmVHGOwDoOeh7AGD2xtD/3QMAZ3Jzq1VEAKBw9nT414EJ0HfdaqN+iRxBc5M1AMJpJ9yXklMByiZA4gUqj0UAgPy3eAMA+i7MFSZANgBgxb8nA6eIsQIA+WMvA8Dy3Sdw92dMiA1UL5wVPPGUi174u7ojZuCgP/Z1YgAAOUqKHgDwlLNc/ykqIHG6ziPVzgoAMOlRnsyhAYARqBiJyk0TIAEAclbzUHJwAwA6frIAK/cE5wEwmtetlfLin7UHbd8eRsyh6ZBbxQ4AMIN1x08XIEeG1GhVPk/AafuhuoVVeUiMNAB6By1yWzMNwHtTt+AjTWKteAAA+btgpgGw+n4yu7/zth3FA1/6NNgyABTtNUEJv8qiDVoR7rfWaC1vGkwNQGwBYNR9VXFrpXzggdMbkzajVfnc6FAlPwisy3afROfRvm8Ki5EpM3/zAMBs5en/7gGAM7m51SoiAFAoWzrsOWHfB0B2SpIn2P2bFZi8gXnUgHgCAKFClV9wdAxNoUlvrg2rxnnI+QRCvWC0pzw8HXln6hYlA27LcswfF7ro5QGQAUAbiSNUbyv+PYG7PvW9ENOnSo4Ng9uYXd7x70YaAPlj3//Wcni0gS8KkAwA/PfLLUvh2eYlA9eXAUCEvwsXAPgBK9s/ehoAOTdC2pTJMe2lRhgzbxduq5wX1Qtnw9lLV1FxIJOOqz9Yjm9CBBpaAQBxchtqcz/+iTqoXSx7TAHA6WZc3kzYBQCnt+TBuoV1E4Y57e/Pp+sHovnI89Hrb/DfG/HVgl3KT9zMiyRMWgDQe1eJNlpN6wN1CmPIHb4khkYAQLOZ0nkyGvrlxDoKkPxdiBYA8ODnQb8JqwArylDWWPNw5/W2ZQIJLCMJACmS3xLkRxVNDcDIe6uCIN/uw3nYePCMsp74zZ28/iC6f7tStZw9AHD6tjBu5wGA+zK106NrACDHiHcKANUKZcFvPeoHjV8GAOG0E+5LyY6Q5LqzpDCgAlicAIDe5kbvBaMFALvzdgMA6Dz39cJduHrtP7w/3eekly5VcmyMIwBYtvsEOvk1AOJ+0ReA2S5Z5PB3AgDk7Jd668HMBGjj4NZBJ+6hfAAY2ShPpjRILsVmt7MO5dCoBIB8WdIEQs1yrDxprTw48QOACN8YCgA+7FJFOalzUwMgNoxbDp0NsrfWu0+0HZ7g4DRe3jDTLp+aNbk4NfMJtZboNEsHXLeKHQB47odVAV+JqoWyBJyeCSWDpUzkdgDg/jqFMPSOisp0Bv29AV8vCA4DylCyDCkrZ9mV538zAoCeCasWAISMrHyPrKwno2eU788UyZIF+VHFAgC039Vm785WJTOVn1m9+XgaACsrIbiOBwDO5OZWK0MAMIuPqx2ADAAFs6XF3hO+EJihHhzth658vkyY8Fxw6MKnvl2BSet9GoB4AgCxkZRfCIwMQ8cm+W+zXmkChkaVi95LREQQCrXJdwMA6Lw8b9sxZThWNAAjJm7CaI2DGjegm4ZETgOw5/gFVTZQ8TGST/sYBYQbGxY9AJDjoGvjX/dqV0Zlw6z3QJkBwIZBrVF+gNrkxiihz0f3VgU3Qi3K5sKYh2o6en7l0KgEMBG1QzxjcqZg+bnTuxhzCmRPn0rJWRHNIq/fPu3KYthEX0hIuSx4vRnyZ0kbcnM/7M4K6Fq7cJIEgKeaFMenIUJCOrlfbvfpFABonieARz7FV97ts7fjrclbgqanZ2rZtXYhDLvTBwCyhkHbmM+wEVjEGgDEd0HrvG/1/lrxAaBWkOa4/LbyWdeLYsfr6TmdxwoA5GhzZu8xK7IK5QTM93LLsrmDNLkt35uDbUfOqbqnPP49fh6N31bnY2AlDwCs3IngOtH9+jgbY1JupQIAPVMbq5N3AwBK5sqAaS81DrpkXAGAlAlYRJMxAwBtYhVOUA8A3ryrIu6pWShkiFO7AKD3UZUBYNyjtZSEZqGKHCNa1NOzQbe6VqzU075oxcdIPu2TAUBrAsRryNlCtQCwaOdx02GYAcC6ga2CTG6MNADyxax8uPUGJ0dG0gMAOUxoqA/nuIW7MeCvDQo8iVCKpsJwqYKVE3srADD8zoq4r7b6WQl3iJNfaIgyeTJh86EzaPOB2uFSr+/2FfNiwjr79vjyvdHTAIQ7D732zzUroWsH7/RaDC8qQgKL+RiF4H32h1UBZ+kahbNiuV/jIZ/isw87AECfBj7fLGYAUHPYdDCHhrbEGgDEd+H3Vfvw4vg1tm+FlfdIgzdnYt/Ji3ivc2V0rFYAsgZbRLHjhWMBADxAoQlQ6b5qM8poAgA1ieOX7cXCHQnfA8q1zQdzsfnQWdU94d/1onaxkgcAtpev0sADAGdyc6uVawAgx+51qgGg6dDcnk2D5iYDgAjbZXcj7JbAZkkAQPMSmpnIY2FoSGZplf9mFQCYJn5lv5aJAgCMElG5JWcrANC3fVl0a1hMuaQeAIhNIn+X419Tc7N45wnToZoBwNqBrVBJY3MfSQCQ/SL0AEB2Eg4FALF6djgmKwAw/7WmOHn+qirRlPZmcfNHGTz/42rT+2i1ggCATQfPoO2H5gDQrmIeTFzn00zaLWJt3f3pwsCG2G4fdurTJ0Yvxr6dPuS6WgD4rUc98D3NTeZrbcqoun3m+5UBx+WaRbIqzpUs4QBAl5oF8cZdlZR+mAnayLzp2WYlMFLHAZjtIg0Ar/+6Fj8u22soYp7KE4gKZ08fCI1q535YAQDtsy5/v6IBANrcJPL8CAA0h9RGUos2AGjfIZQrn3++B+TCv5fvP1kVSUr87gGAnZWbUNcDAGdyc6tVRACgQNa0yqmDKEbOM1oToNyZUmNJ7xZBc+vx3YrAhzbWACA771oFAG1mRU5QbyOUNV1KrOrfKqoA8L9Ha4FOwaFKxQFTcPbyNVUVAgBNMOhc+8WDNVAwWzq31qTSz+5j59HknQRVq54GQAYAPRMgIwCwOlAzAGAkmsqD1Db3RiZA2g+J1THI9WQAoBO2HNKQY5VNhGjZs2tEe93LxDsAMEFSy/fn6GbCFRPSApATeWrb2AWAcK4ZbQCgUyejnLhVtADAQ48r13yZi7XPjQwAzAC9dLcPvmUzHv6bZk9vTg4eo16whXtqFMSbd5sDQKj5xhoAxNgYzGHaRl8CTjvFCQDI3y+RyZ7XjJQG4MaN/1SJvuT5MYw0w4BGHgCWYfqmI8qlP3+gOsYt2o0F230n/tQAaAGA7/WuYxZj/f5gANDThrMfDwDsrNyEuh4AOJObW60iAgC03+VmRBSrAJAlXUqs7t8qaG4yAIiwXbHaxMzYdBiPjVuujJEfs5+6qzUAW4YyvXly1SbeKgCI+bvpA6AHGrIJkBUAqDBgipJN1KjwFOsXTdjNcBeoGwAg7MQ5Fjn+tdWxmQHA6v4tUWVwQmIh1o8kAMh+EXoAIP9OP+OdiRgA5BwQVu9XuPUmPd8QZfNmwsYDZ4Jirofbt7Z9tAGApl48KXer/N6jXiApoNHcxN+f/n5lwFmaZpNLdvkAgCZchHRRPpuzQxdSSufOiCkvNlK9UztVL4C3O1VWmobSAISar10AoIkdY+Uzt4CVYqYBEH1UyJ8paLNppX8zANDLDC5/v2QAkPMAhPpum11TO27KS070Jf9uBABywknWt3tN7Ri6jTMGgA/uqYIXxqu1iATO85evYc2+06quOA4e+Jy+eDXo9ngAYGXFBtfxAMCZ3NxqFTYA0PGQDxBfNsKx1CkAGIWWfPq7lQFb23gCALHxlTfZTA6VJqUaALSp1Xnz9DbmjGvO0we3AEAbFUYsGjkUXygAEDa9ZgAgTJfcWpTsZ9ex82iqowGQ7X3NNABD76gQCGUnx7+2Ok4zAKC5VjUpsyjrG8Ucl6/p9IMmm0UxVJ8MZexTlpkRABiZVlmVSbj1rJgAMUNqo7dnhXsp2+0FAGw4cBrtP5pvu72dBmINdPpsYcAkxk57u3UHdyiP/n9usNvMsH4op2Lt+pYBQDa/swoAHIQ25C4Tm73buTJ4wkxHcicRjuwAAJOJ1Rg2XQEA4aNiJkyrAGDWj9HvZu8R7ek760/feBjd/uc7wKLvF33AWPQAYNeIdorjcDiHbVev31CF+ZTnQh8qRgHShlJ2HwCWY/omn4aFGoCxC3cHbP7pd/far+uCRFylYBbQFEn73ub7nnsebfEAwNkq9gDAmdzcahU2ALzw4yr8sVqdDVMGANkUQfvx15oAGSWXiicAkF+gImypOQA0QolcGQP3zOhUxG0AOH7uMqoPnR60VmQA+OaxWmhYMtgE6Kv5u5ToGcM7VsRL41fr2j2K6FWxMwAAIABJREFUjiMBADuPnkOzd+cExi4+dvJpnxkAME44I42wyPGvrT48ZgCwvG8L1JDkG2kNgKwV0QLAo/WLKieqLd7zyYy2tUxKpy1ap1OzTYRVWVmtF88AwGyr5fJlQlIEAD4L/f5Yb/U2hVUvCACkAxyergqHS9mRlxccPWcHRhiYKX3frTbuG7MkMK6O1fIrYWAZWUvvRNbKBOwAwJh5OzF0gi9iFZ+1/reVM71ErAFA+53hfaGp0eMWAUAvp43d9wXNwkr1naQrq3gAACPNmBytSgyec68xdBqOnfMAwHTxW6zgAYBFQUWomiEAiHCbZtflhmO7JlxWvsxpcMCfYdVtABCJO8I5lTCbU6jfZQCoXDALGA7PLgDohdXkNTOlSYG1A1u7pgEwAgB5fkYAIM9Ja26ilU+sAIBhJB9v5HMC1vMBkAFAjn9t9f6bAcDSPs1Ra9iMQHd2AIDalVd+XguG4/zs/upImyq56bDkE/6MqVME+WUwjn3rD+Yq/dC2drsOAGhPsOx+0LWDZEjHHUfPoWPV/EoCPLNiBQCYIVUv1J5Z3+H+LgBg/f7TuHVkdDQAnT9bFLCJD3f8odrHEgDkey4fPtxbqyBGdPTZ8bOEBIDHa+O+LxIA4M6q+fH7qv1hiSypA4A2vCif9SkbDuHJb1YocmtSOifGPmKsAdDTZtt9X1y+dl0V5Ue+YQyiwPeUNnt5pDUAsg/Aq61L4+0pwaFnZV8VMWbOvdaw6TiiE1HK0wA4exQ9AHAmN7daqQBAjrYjYtybXajV+3Ow9bA6Xq5TAOC19LLmyirkWAOAfIJSqUBm/PVMA1MAeL55SbzYslRAlEaboHgFADOHS8aTX9GvpdlSsfU7N5XNdTQAQ//ZiDH+hEamANChPB6oW0S5rhz/2upAzABgSe/mqD1cDQBWTYBknwQ+a58/WAOZ0qQMOTRZK6IHANzAtvvIF70mZfJbsG1YsAbATQCgCRLNw1jkrMyhJmEFABg1S9b+WL1f4dZLygBAc7i+MdIAGAGAHMmH5ipfzNtpqAH44fE6uPeLxYFbTH+pUxeCbbHtrIGkDgBa8xu+zyavP4Tu3/oAoGnpnPg6BAAwUVe6VCnCMgG6dPW6yslXCwDJb7klKJeK+wCQ4APwTNMSWLnnZEAL9WKLUoHklvLYZF8VGQDqDJ+BQ2cuBS0zDwDsPHkJdT0AcCY3t1oZAgAvYIX2W78/F1sOq+PlhgMAvC5f9nWLZw/MMV4BQCQukz9wTO7y8k+rsXKP2n5QTgZmtAnKmCYF1kVZA/DtY7XRoGSOoPUkj5FJvy5evW645iKhAbACAL3blcETjYor49LTANDu+UE/AMjxr60+PGYAwIy19d6YGejOjg/AH6v2q5zPmCH1dykLNuOW/7ZyH9pUyKOECWSRZaIHAP882yBwcp0qeTJsHdY2aKrVh0zDccmG1cozbiQveTxMdMc1blasAICeY55Zv278PuG5BiifLzOiqgEYvQhL/U6xbszBqI94AQA5AIGI5MOT/1GztqNErgyBLMHaeYx/og7u+TwBANyQVVIHAK35jQ8ADqL7tysV8TUrkwtfPexLSqjnA8ATeh5KhKNtZxZ52cZfvm/0d6MGQJtMkRv0jp8sVL1Xw7nfshMw+2G0wcNnfHkhjMLEMieRXiIwDwDCuRPBbT0AcFeednsLGwD0EmbkzZwGBx2YAInBa/MByADAzH23V84X1kvJrpDk+lM3HMITfhVqmTwZMfkFdXQKPdUh29P5qFX5PEpX0QIAbWZYvXnHKwDQrEzYs3PcYqM6bMJGfDFvlzIVMwBgncoFMmP8k3WxaMdxPDJ2ma1bbwYAjFff4M0EZ9VwAIADE053/P+3j5qPtftOQ4YrWSaExbOX1JGZfn2qLu76dJEyR4ZlZE4KbXETAGSTpMLZ02HOq8E5PLTXtwIARo55tm6eg8oCAOSkhg66sdRErK17Ri8KRMWx1NBhpXgBAEaeoT8OiwAAK2vi5+510ekz39p2qyR1ANCa33DNTVp3EE995wOA5mVy4csQAMAoZ1nSpQrrW3vhyjWViY987wgA9FUSWkTxno80ADhdP5RfpYFTcEbz3mV/ngbAmVQ9AHAmN7dahQ0AegkzZACQo5GYOQHLk/qle13UKJJN+ZMcRzqeAKBU7gyY+mJj1QtSb2PGOVgCgNQpsG6Q2geAm8KfV+xTkh7dWske+FjxAfiuW23ULxFaA8Csv5eu+mJ865VIaAC2HzmLFu/57NnFh4H/lQGgV9syeLKxTwPAU9TOo/U3CHQWLpYzPR4d64t+YbWYAQDj1cvhKsMFgBV9WyB7htTK8PRO3WSZGK0zMTejRG1uAoAcUahgtrSY17OZqWitbPaiuVmVB0wNSoX8mZEUAYAhcfv8Hl0nYJp/XLl+Q5Usj5Fn6I/D0rlGAbx1d2VLyeHql8geiN1uushsVBj7SE00KZ3LtEU8OgHzAOrrR2rCKCyp1vyG76eJ6w6ih0UAYJCDHBlShwUAspmgVshr+rdCsmQIyqbuPgAkRAEyvdEhKlB+JXpPxLUb/wXV8gDAmWQ9AHAmN7da2QYA2ufxJJJOWHT6a//RPGw4oE6YkSdTmoCdnFMA4ASnvdgIJXNnVAEAE3cw+kM4aslwhCc7UVFlzRCf8ljCAQARBUnu7+uHawZOrmUTD3lTbDQftwCAm8nL/iQ/eteKJgAMn7gJn8/dqQzDKgA83bQ4qhXKGsjfYPX+mwGA1lnVDgD8uXp/UAIa9ifMffTW97bDZ9HyfR8U0V9E7yQqkgDADcX4ZXvBuOXVC2eDnJiMyf/mv+YOAAy6vTwG/OVeyEqr95vx5v9+tgE2HzqD20ctsNrMUb2krAHgoQU3/k3fnh0IBiGERLvzWVt8AMBY/s81L6mCaEfCDLPRol7NDDfRout4BACOjU7V33arrSsBPQCYsPYgqFFnaVE2F8Y8ZGwCtLR3c+TKlCasb+3ZS1dVG3x5oIkRAIwOMDwAcPYQegDgTG5utTIFgPHL9mDS+kMYeFt55MyYOmCvN+C2cnikflE0eHOmKusvBybb2MnhCO1oANjPK61K4ZlmJfHsD6vw9xpfqFE9AJBNJ9wSjFE/MgAUy5EefzxTX3XCZQQAzJbLjI8sRi8RkQdB/v3+OoXw7eI9SjttLG8z++3EDADyZpdzF3N1CgBVC2YNxL+2ukbMAEDrrKoAwLSt+GjGtpCXYD09ADDyExHj2Hr4LFpZBAD6bWwa0iZoHOFoAOQkZzQvOnzmUmDzZpTETzsAKxoAamxEyEWr98qterx2zSLZ0OHj6ABAl88XYfFOX2KsSJZoalUYfpamksLURJ4X7c5nbvZlZWXStU0H1YdHkZSBUd9GkdDk+vEKAKEOX7T293yP/LP2AJ75fpUyNTMAoI9TvixpwwKAM5euqr6PskxpYpQs2S2q3zlGRhZjuGJRzL5zZmum2zj3NAB3f7oQy/89GXRJDwDM7oL+7x4AOJObW61MAUB8sHnaTTMWEZ2jSPZ0mP1qU93NrAwAQgOgzUooNnWhNgQM0fV00xKmAMCYvTQZYtKSSBWOnyfP/HiJTJa0e6YJjWwHbgQAYx6sgRYmAEAzn42D26hk2rV2IXy3xAcAQzqURz8pmY/Zi9EtAKA9OR3KjEokNAB2AUDPCViM98G6hVEubya8/ltwwpdQ68UMAKj90fopWI0CpAcAImO01m5WxOPecuhsIMwnc0aEin8u1pJ2fto41mZrSG5fccCUQOhR2u/ydE9e+wNvK4eH6xcN+QhaAYDX25bRzQgbqWdb7pehKbvULJTkAEAOvxlpOW4b1laJNsODG22h3fkMPwBEehxW+7cLAI81KArGjzcrkc4DwOsb+frwN+17hM86D9LEfWlRNjfGPFRDmYaeEzD9LgjD4WjbjZJR8poEAH6zmV1XlMgAQEIUILN7ZvY9eHH8at3wsx4AOJNs5HZszsZzs7VSAUCP71Zg4rpDqodRfvjlE0+7AKCX/IoPuxsAwAGLLJ6RuoGy86+4Bs0efuleD3VGJISCjCgAaJL5mG3erDgBW/EBiAUAyKfdlLeeBoAbxe5+H4BQAOB0TZgBAE3UhEmOGKMVAKDzcu5MaYJMgITJ29p9p1QmKGJjTdOUNh/4wnzGAgDK958cSAi3flBrnLpwRQUA8n0ykrkVAKDm752pW53etrDaEbhL5c4YcRMksbbu/XwxFu08HtaY463xlqFtMHXDYV0A4Knz9E0+DUC8FLsAEC+JwORNs54sz1++FhRh5681B5TkaSxmACByiYQDAHxHVBk8TfdWr+rn0wAkJgCg7ChDbfEAwNnT7AGAM7m51SoiACAPTpgAaZOSiM2CFQCQHzo9EyD2JRz43BKM6GfJzuPYe/Iithw6E4g+I35jxuPfn66nSgalF56R9a1oAGi2wdjLRXtNDEyD2V2/FxqAWAFA8mSKTa9R0WoAGH3i3KVrAYdWJ/fECADkJGoyAIRyAnZyfbE+tW3l9Son3hL1rZgAsS7X8fM/rlZ1z/5K58mopKC/QzJBaVshDz69v7piLkGnexYzABDmZNrxh6MBKNtvciAc7IZBrUHAlJ2gjWQmxqCnBdS7N8yb8aGJGZXTe2rWzo0EU2bXkOWUFAGACaSmbjwc2GjK8qAZJHOphFvMDiXs9J9UAUDrgEub+xmbD+Oln9Yo4uG9oGkqi5Fzq/aQzuzQSSv3k+evoOqQEABADcDgSGsA3DMBkiMSynP1AMDOE5dQ1wMAZ3Jzq5VjABBxv81O9AQAaJOSiI9gqPY925RGjyYllA+JoG4nAMCNx28r9yNr+pRoVsZnh2+lyCfoeoln6OzM0IHVh04PdBcuAHBjVay3PgBo7XjNXsZWTIC+71Yb9UyiADGp1NXrwZEPxKRlAGBCn5bvz8GeExfw59MNUC5fJiuiDqojm7vIGyZ5vbzWpgyeamIeBcjRAHTyYNDmXU78Ra2T2JCLMYYDAEKLpU2E065iHnzStTo2HjgTSPRllghJOJRr5x4OAJTuOyngDE4NwIlzV9Do7YQwqPJ90pM514a8to3uC522P561w+ltC6tdtUJZgnJ4hNWhQeOkrAHYNLgNpm3SB4BW5XIrcBBuYZ6LUIcSdvq3CwDxZAIU6pnTOuBqockKAMg+aGbPt57MQ32DVlIDcAtUGoLImAC5AwA0ifpq/i7FJ1JbPACw88Ql1PUAwJnc3GoVcQAQakRtUhJOgM678mm3dlJigycDAJME3VFVHQWI7UQMbz3ByMlP9DINGwlT64ykrUen6MnPN3QNABhuc+OgNqpN0r21CuGHpT4fALsAcOzcZdSQ4ERvnm4AgJwJeMOB02j/0XzlUiJTspPFKpu7iA/PvpMXVCYn0QaAvn+sCzhkc0x6UZnCAQCxhrVh8IQGQJatGQBwfDQ16tagmKJmFyUcACjVZ1Jg07VuYCtFA9D47dmq2xsKSvXMAPXWxpONimG0P9KTk7UTThuuWeZfiHQRcrrvi8WBrKSRvma0+uchxvRNh4M0XLx+m/J5MHlD8AbK7tgSAwC89stajF++1+7UbNfnWpq37SgG/b0RfHY61Sio9BHKAVdchFnIecj26NhluuEttYMhIHeuURBdahVS/cTDESYNS5squervob5BxgBwIpDPRLz7bQtFauCWEzC7NAJYDwCc3SEPAJzJza1WjgGAA+ADXM1AvScGKABALyW4GQAIE4/nf1yFP1f77O6cAIBeFCErAlzxr/pFpG3Dje+UFxupNtk8eaXqVVu+fKgGmpcNHQWIALBhUBvFIUsUGQC0sbzNNABuAQDvoV7sY3mOHFvHqgWw89i5AACIRGlWZK2towcA8gaY9YWGiP8/GiZAvX5bix+WJnzQ/36mAW4b5YMd8aGyCgDMZyFscUV79lexQOagKBgCABbvPI4u/myoWdOlxMkLV01F+26nyrireoFAPQIh14U8ZtNO/BVkMwFmCT1+7gqavuM+AFgdTyTqRSsyjYhclhQB4L3OlcFoaVM2BJ/0cy3rnaDavZceACRIzMhMh0ECZPt6uzIOVZ/rd/3+MyiUPZ0SDvjWkb73ILV3r7YuE2jKjOY1hyVoyOU+mfeEGea1yRS1312z75zZvLSZgM3qh/rdyIfFAwBnUvUAwJnc3GplCwAYpaT5u3MC165SMItirxyqhAKAncPbhTQJEHHeZQB4/57KuLNqgSDn4VAaAD0TIisCNAMAbsKmvdTYNQBgvH2enpXoMykwPEYlEZtOuwAQ6uUrLvD947VRr3joRGBWAID9UTV+V7UCATOVcABAtncXm+v1+08HPjT8W/QBYF1AG8Pr//l0fVW0GKthQNlWDwDYX+WCWaBdd9w03VOzIB7+OiGTsVUA6FAlHz7sUtUVACjWawJEDhxGASJIyO8DcZ+Mni09PyArz2E06zC539bD5yJ+Sb77qJlJigAQSnhJAQCsOgFHUwOg56gbKgJPuAt81H1VlXCi9IPbf+qiqjvZH+/ImUuoNTwhSIYWAKgtPnTmUuDPPhMgexoARjsicNYuml0JW6otj41d5lrkKTmPhXwdDwCcrSgPAJzJza1WtgBAG/bQyiAEAGhjErMt40XLp93a/gQAvPDjKvzh1wC8fXcl3F4lH0r3nayqbhUAhAbBytjNAIDJmGa83ER1whGOBoAAQNvqkhIAdKlZED8u8506D7+zInr/nhDK0uxkRE77bjTfrx6uofKLoKnWyJnbMHLm9kAT+nHQfMNKke3imViJGhInRbvZ51y1fxNhYtl/dDQAagD4vUc93PmJOl71+9O2WnJgfaFFSXwwXZ0vgP1VLZQVy3efwN2fJWQ1DmfT5CYAyJsMOhQePXdZFQbVDAD0/ICcrI1ItmFuj53HzkfyEkrfAgC6jlkckQy3EZ+AwwuEs5blS5r5JdkZnpEPwJGzl/DZ7J1KvPyNB88EclMkFgAI5YBrRz56dWlVaPRJ4OHG7ZXzKc20flNyX8w0rDVRdQIAr/y8Br+s2Acjv6eHv16K2f7kc+HOu1GpnJjrz2Qt9+UBgDPJegDgTG5utVIBwNPfrcSEdQcDfWtVi+EAgDYkGS9iBgC0YX6iUXHIAMB2NYtkxbLd6mQckQEAdUISrdD5wpn5SmNVFKBwAIBOWusHtkapvgkagHtqFAzYkY7oWBG9pFj2ZgBg5qAt5iP388ns7Xhr8hbVVEO97LUymfxCw0CoSp6mTn2xsaW1Sntyhr+sXyKHYgIjTF3kMa7bd1plckN77R5NiqNNhbwRAwB+RJ8fv1rJI0CbWhGRieP69am6QbaqVk2A9ITC/phhVwsz4Wya7qiSDx9IGgCq46kZ0rv3ZjdKXk+M4c1+5DCobB9qTer5AZldM9q/F8yWFntPqE80IzEGvvsI1jcbALgly2gAQOfRi5RnkUVOTmfVCTjWGgArYaCd3g+jcNfsj5m8H6pXROn60OlLqjDZVgBAewAi3ikM5sFgILy2HMzDLEzpA18uwbxtx5xOVdXOKJ+GBwDOxOsBgDO5udUq4gDAF/W2Ye0Uu/gKA6aoxs0ER7K5i3ZSAgCsbGRjAQBMtkSnYlnFyfCL569cD7o/9AGgqQ3VpXLyKLki7VrXDWql0m7IAPBGx4qqZFaRAAD5oyfGZgcA5NCYJXNlUEykrJS6I2bg4OlLeKZpCYyalaB9kDeq2vj44rffetTDtev/gWN3s1C+8ke8Yckcqg8Jo0J0kk7q7ZgA6Y1TJN5h6Nl7/Lb+rBeO4yQB4I27KmHiuoOoVigrOo1e5AoAMIb3kbOXA4nJjICCm35GI8meITUYHlaruXPzfrnRV77MaXDgdIJJght96vUhkrt5AOBMwtEAAPm706ddWQybuEkZbGIBACtR4JxJHwj1nFC7+UKLUkrXB05dRL03ZupeRu9Ake9QPQD4cv4uDPlnY6Cf6S81QolcGZV/mwGAm2Z29Ypn13Xa9wDA2UryAMCZ3NxqFRIAtE66TjQAfFFvHdoWD361NIjCzQCAL92mZXKixXtzTecbCgD0fAhMOwSCbBG1bWiyM7dnU1VoSCMAoKnNu1O3YsOBM4aXpqxoAiRvkqINAPeMXhTIdCwGygTL/1mzAMLUFxuh1fu++8Xs0VwzVooZ5PHDsGbvKd0MrYwbzxezvGm2ck2zOrxmh48XKNdlqZA/k+L4JgoTdA38O+GjxPpWTYD0rj3+iTqoXSw7ZGdf1gsHABjXnhGDvl6wW7kkI1e5oQFgAACaSIjEZGI+MpTyxI42vszp8OtT9VAmb8a4B4C8mdMoIBrpIgDg/jFLMH+7O6eTkR5zUu3/28dqo0HJ0H5QegDA54hRb6j11Sux1gBYCQLh9J7ycGfbEX1fmeealcBLrUorXfPAq74BADQpnTPINMcIALTfhzfvqoh7avoiEZkBQOfPFmHpbp8mJ9xSu2i2oO8j+/QAwJlkPQBwJje3WgUAYOPFTHj1l7WqfrUmOhOfaxhw8LQ6AG5qf3qyrspWWrTVhrXU9km1a4X8mYPMQfSubQQAn83ZgTcmbQ40EU7E/MOiHccVm/qH6xUJqCzlvs18ADi3+a81swwAj45dHlJs7G/dwNYo0y/Bv6FzjQL4afk+pZ1WA0D/ADo9Pde8pG6/Zptq0UjetIULAHJ23OI50ys+ElaK2VhjBQB3f7oQy//1mZvRqXnzobOG0wkXAH54vA7qFs+urMt7v1gcuE44ANCxan78tmp/oC+3AIARPA6fuRz0PpDX0r/HzwfChDJz+OQXGqnWtpV1kVTrbBvWFimTJ4MHALG/w1YAQGsC9ECdwmjij4C14PVmijOstsQKABiha8XukyiVJ6Ph5jtcqTNYgTgY0fYlA4A2dLPZda0CwFt3V1LCkbKYAUDHTxa4ltujeuGsiomqtngAYHZn9X/3AMCZ3NxqFQCA9t/4TgjlYnZCb2UQNGuhU1D3b1dYqa6qw5duxfyZLZ3s6gGANpkUO2eIuo7VfGERzV4cZgBAB2cCQJ0RCVEOjDQAzLj4+P9CAwD7owZABoBO1Qvg5xU+ADBKkCTCR2oFbLapFvXdAgCaClEDIDQ2xXKmx0wXAUCbIVeMnwBE28xImADJmVo5n51HjR1EwwWA77rVVnwgFu44hvu+WBK4nfEIAHTgo4OfyPmgXUtM+sUQhGf9IXFpMjDzlSYeAPgFRa0ofX7ctE+2/YL1GigSsAIAsgaAbbTOoPI79L2pW7D7+AVQafr3Gl/46kgWra8ev5nr9p9G8zK5XIt+ox1/qIR5zzYrgZf9GgCGCNVmCxd96WmWrQKA0Xec0YnSpkweCLnNa2l9CMO5F0Z5QjwAcCZVDwCcyc2tVgoALF25Gp3G+zaZcuEplRyRxulFGblHq12w0le/W8spyaRkO2ujdnoAMHXDITzxjRo83AQAbnh5+lN3RIKNI/0CLuj4AHzatRqe+m6l6bS71i6E75b4En+x3F29gBLhgMXopfvZ/dWQMU1KxXSkW8NiyJw2pVLfLQAwHbS/AmFv4vMNAz4OjKjCTZ+VYjZWfhi0GXJFvzxxalAyZ0QAgKZrIupD4ezp8O/xC4bTCRcARDSShduP4b4xkQGAXBlTK7b7opj5kciTle/Rsj4+ABDxv7X9yVmL+RuzZs96pQnK9ldH77KyNpJinS1D2yB1iuQeAMTBzXUCANphi+dIG744GtPTAkA0rhkqXK4MAHuOXwjKFi7Gp+dbxrks230iyLdK+334sEsVdKiS3/A7R1+00nl8PgIvjV+t0oKGIx+jPCEeADiTqgcAzuTmVisFAHqM+gMT9gbbMfIj5YbTntPkOgSAKgUzqyKtGE1cDwD+XL0/KBulGQDwxIKlYLZ0pj4ArLfw9WaGTk7yWEfeWxVMSGa3yABglHfh4/uq4envfXBBk4/37qli+GLUu768Cezy+SIs3unMXpKJzCY81zAQG75ojvTKps9KsQIA2gy5ol9+cKgBcNMHgCp9wp0cQ1ov5rU8t3ABYNyjtdC4VE4s2H4MXSUAaF0+t25SJSty7VgtP35bmWAC5BYALO3TXInwcfuoBaphiLWkjdjE685+tQnK9VcHArAyh6RYR2jtPA1A7O+uHgBoQ2hqNQBGADBryxE8IuXriMbsYgEAoeYlmwDJZoBWZGEVAKjl+PvZBobfucEdyuPBur5IRHIeICtjCFWHfm3bdXwfPABwJlkPAJzJza1WCgDU7zkW+24JdoLaPKRNTFX2/QkAhbKgoxRr3Q4A/Lh0jypqDtuGAoCDpy8GTvO5+Tt46qIqHrvetenca2bbz3bMP/DC+NW27xsTa/260qcBMLK71MKF2ISZbarFYNwCAPZHZ8+7PvXFxqfd9+xXm1qas9lYOUbaXoq+5U4ZOYgReiIBAN2/WYHJGw4pl9Paz+ttAj6YvjUovr8lAQD4+pGaaFo6F+ZtO4oHvlwaaBYPAKBN4rW0d3PFWZZO0nIRa0kbsSlHhtSY82oTlNdEArMqm6RYj7KSNUxJcY6JYU56AKDN+m0ZADYfwSNjExL2RWP+8QwAu4+dD/hKWJGFVQBgX6G+czIA9PhuBSau873Dwy38ptG8S1s8AHAmWQ8AnMnNrVY+AHhtHPYhe1Cfmwa3ianKfsBt1ABk0XUg1g5WTwMwdsEuVZQWtnm3U2XcVb0AGKGkaK+JgW74MpE3b7Qrb1QyhykACHtLsxvCk905OglEzNrJJ7hG9odauAgHAGSbd7Ox6f1OLcClqzeUn2gyMycKAEDfiEYlc7oKALRZX9irOZ75fiX+WevLjWGWfTdcDQBDxTYvm1sxOeLGUJRwAEAGSPbnVAPww9I9qhwUS3o3V0L8yYnQ5I+yNmJT9vSplIhZHgAkPDUeADh5w7jfRg8AtGAmOwHrjUC8c2dsOozHxoX29XJ7BvEGAN0aFEXfW8sp7wdGvhMHWFbmrQcAcmg0i2TMAAAgAElEQVRpuY9Q3zk5FwF976ZtPGzl8qZ1jLTAHgCYik63ggcAzuTmVquQGoCNg1vHVGXPMIvMjKo9ZdSbvB4AfDp7B96cnBABiO3e6VRZsauXQ4OKjYsTADCLDOPWjWI/2jCUom/OidkQRYklAMjzLZQtnbLps1KsaQDUKeJFv/R5+PyB6q4CAMNBLurVXGU/mjF1ioBTq9Em4K3Jm/HJ7B1WphxUh47iLcvlVkDxoQgBQO5MqZXoPdq1YjZgOjZ+JGWHXtyrOQ6cvhiknRNrT+uwTXia91qzoFwgZtdNyr/TYZERvvQyiyblecfb3PQAQGuaZVUDMH3jYXQzCfbg9vzjDQDE97TJ27N0T8tDzZ9zsZrVnVDWpkIeNHhzVlCXBICqhbLg7SlbXEsCxotoD1DEhT0AcLaqPQBwJje3WoUEAEak0SbvcuvCVvohADAz6m2j5ptW1wMAvc0YN8u3VsobZNrkVANAR9edx4wjw5gO3EYFI18KowRhZptqvU2gm0lTmFV1Xs9mlmZoNlbGyL/lllsMHX2NIiRZurhOJTqtLu7dHD1/WRMIw8roEhevBid5E81faVUK70zd6vSSGP1AdbQunweztxzBw5IdcatyuTHV4QmW7EPCgdkBAIYx3H70HMY8WANfzNupAptFvZopJ3x3fapOviYAQM9he93AVqg4cKpj+STFhk41g0lRFrGakx4AaMOzWgUAnjSbRXtze57xCgBm73Q9OXAu2kSIoeSVLX0qMOOxthAABvy1wW1RG2qBPQBwJmoPAJzJza1WIU2AYv3B5kPMuLvaSCN6k9cDgF6/rQNNF+Ryf51COH3xWlB4Ni0A8PT65IUrOHvpWkhZF8iaFvtOXnTrfoTsp3TujNhyODgOvTYiQzgaADcBgLJhmFQrxcrH4rU2ZYI0OqLvGoWzBuL1W7meWR1ulJf0bqGK0+5m9lG96zNSVNuKeaF1JAwHALTXsQoAcjQTQgRNeEbP3Rnojs7vTPKjjdAl1p6ew/aTjYth9JyEPszuwc3wuwcAsb/LegCgfQ9aBYApGw7hSU3kuUjPMKkBAMMHn754NSyxaZM0htWZ1NhIC+wBgDMJewDgTG5utQoJAEwoUimGJ3Z05CEAaGON602eScrK5cuk+smO848WANwSsJv9hAq9Jl8nXgCA9pI0c/h87k482qAoahbJZigOKwAQKgynXlbJcGRPVe/SPi1UoVSZp+HaDYspkR1cnNGc2lfKi1kaR8JYAIAcio9wRV+cMfN3BWZFJ/n9Jy8GaWTE2jPLoeFAPEmyidvrNkkKKQqTYhCBsY/UQnLGpgSgjYZmBgB8Pl5oURKXr92IOgDsHN4OxXon+LNFQVyml3AKJW75HUYKAGQfN1kIHgCYLgndCh4AOJObW60UAGjw2jjs1XECXtO/FSoPjp3KfkiH8qhRJBvafjjPdL56APDo2GWYufmIaVtWSAwAYBSCTDvBeAIAnhKLIsald0OsAADDiu4yMLfixnmC31nX0g03qcSIP4x1L48r0gDAaE63Vc6HmZsPqyJLxRoACOF0dh+7MCFZ4PzXmiqary6fJ2QsFs8R/7t89wlTB3o37lNi78PTAMTPHfykazW0q5hXGZA2I7oZAIhZfHZ/dUdJL8ORglv5esIZg943yMo7Xdtuw6DWrgQKiBQAGH0DPABwtno8AHAmN7dahQSA1f1bosrgaW5dy3Y/Q+6ogJpFsqLNB+YAwLjadJKlnbgoSQ0AzDLRajfaVl/A8sa865jFWLD9uO17pdeAkXQOnL7kGgAUz5keOwwy8XauUSBgq+/G4Bm2ktluowkATG5TPGcG7Dh6TpW/go7BbkWxoG/DoTPm90TewBMAyuXNhG8W/xsQ7byeTbH35AVVxmIZALTJfNy4J14fngQiKQH6UnWpVQjakLe8Zu92ZTB8ojqghN5YrCZ8dHMesQ7XrTcXpxoAt/wOGUFw0N8b3RRzyL48AHAmag8AnMnNrVYhAWBlv5aoNiS2AEDzAysaAAqEYTJ/71E/oMZNagCg3bwZLQKGk+TGu98f6y2tk0gBACPpMFa8Fkz0BmUVVowmdG+tQkH+HpYmb1ApR4ZUWN63ZVQBoH6J7Lrw1bxMLsywqMkym7MZADC77ws/+vJVLNrpA0FmoC6dJ5NKvgoAnLigylgsA4DVSB5m4/V+9yQQLQm82ro0GL2KWaxlzSWv/3rbMnhjkjkAUIvQw0LGdzfn5NapuZtj8gDATWkm3b48AIjtvQ0JACv6tkD1odNjNsKhd1RAtUJZ0e4jcw2AGCQTczUrk1v5p5zF1WwSdFCcuekItulk+TNrm9h/lwFAG/0inLmZbTblvsMFgC41C+LHZXvDGa6qLZ1eV/RTAwDtg69H0AfAaPBNS+fErC1HXZmb2T1hRmmtKRUBgOZnDFkpytxXm2LPiQu4/8slqnGJtfTXmgNKBk6veBJIChLo2aY03pq8xXQqclZ208ouVYi1r57eNJwCgFuBRzwNgEuLK8LdeAAQYQGbdB8SAGgDXXNYbAGAmxFxEmlFVMKRknW7jVuG6Zus+QBY6Tup1okUAFiNOEO5hgsAbpsAMbwcNWDyuGIFAG7aiZsBQLN3Z2OnxsyK8bTpf/Hbyv2BR4BZfQkAcsZi/sjIXZ1qFIhp/pCk+px684qdBKgdYEx5s6LNym5W343fV/Vriaox1NTrzcHpmNyCmf63lsPgfzwTIDfWVyT78AAgktI171sBgIavj8Oe/4IzAS/t0xy1hs0w7yVCNbQxzK1chlFnbq2UT6nabdxyTN/kTgZAK9dOrHUiBQB2ss6GCwBO1kqo+8XEVav6t1IBAAOExEABgEalcrqWLMoMAG4bOR/r9p9WiYYAwLC4f64+EPj77Fea4N8TF1QJy8SPj9Qvgq8XJDgMJ9bnwhu3JwEhAas5Pj66t2rUNV91i2W3dUgWjbtqljPFaAzvda6Ml35KSGrpdKx3VMmHP6T3ldN+rLbzfACsSkpdzwMAZ3Jzq1VIAFjSuzlqD48dADjZ+IhIKkxSxHTu229Ckx67i4NOZGlSJleauWkCxEg6R89ayzobLgB0rJofv61KOKG2KwNt/SzpUmK1BgDC7dNpe4YonLftmNPmqnZarQyBedvhc+jRtDhSp0geFP6QjRniMH/WtCrToFmvNMHu4+fxiJSwzJUBep14EohDCbzUshTem2ae5I+O/M/7fWjicBrekCIkAQ8AnAnWAwBncnOrVUgAWNyrOeqMiB0AhAr7aCQAnsA0KJEjps7Lbt2caPXzVJPiYJKt//77D0V7uRdPmpF0jp0LBoBTF65g3MJ/0bBUDsXHgyVcAHD7xCdz2pRYM0CtAYjW/dBep17x7Fi4w53ITEap7F9uWQrPNi+pC4CVC2YBIzpNWn8oMLQyeTKCgOcWmMRKtt51PQlYkcDzzUviwxnbTKu66a9jejGvQtxIwAMAZ7fCAwBncnOrlQIAxbt/hmuZCwT1uahXM9QdMdOta0WlH57AMItg/z/dTwMelQnE4CLc3C3s1RxuJ29iJJ1j5xLStAtTo6e+XRHYTNrNWWAkHsbP/3tNgolKuGLMlCYF1g5srQKTVMmT4cr1G+F2bbu9m1mOjQCgfL5MmPBcQ10NQOUCmZE7UxpM3eiZ09m+eV6DJCGBZ5uVwMiZ25PEXLxJuC8BDwCcyTSxAUATALMMploXgJwVpwWAIQAqA7gA4B8APQFovVJTMswwgEcAMAsJ021+DGCkznWKAXgHQDMAKRipD8BrAFY6Ez8UAMj76MdIlbNwUBfv31MZL44P3x7P4dgcNSMA0Oxk6IRNjtrfjI1oFrKkdwtMXn/I1SQ2jKRz/HwwAMin/QQANzQP7SvmxYR1B127fRkJAANaqTQi6VIlx4Ur1127htWOuDnfcOCM1eoh62nNskRlAQCdPluIZbtPqvogAOTKlMa1XASuTMTrxJNAFCXQrUFRVSbsKF7au1QikIAHAM5uUmIFAG7YtSDAoOvn/GJoDIDhcyb4N/O5ALwJgF/WGgAS7CKALwA8AKAfgGUAWvs39X0BDJfEmhMAA3Szj/4AGGC9lx8wagIwD1EQfI9CAoCzWxrbVgSAA6cu4c3J5jGbYzvS+Lm6yHo7ad1BPOViDGtG0jlhAQBu3Pgv7lLZZ0ydAqsHtELx3u6ZRDm941YzQFvpX2uWpQWAOz9ZgFV7Tqm6Yn4NagDcSkZmZZxeHU8CngQ8CSQWCXgA4OxOJVYA6ATglxBTXgogvX9zfs1frx6ABQB6APjU/zduwNcB6ANghNTf5/THBEC7nBP+v78F4AUAJQGIlJyZAOwAQDudexzcgiQHAB/cU0UJT2jFYcuBvJJkExHz/p+1B/DM9+7FbmcknZMXrgZkpmfuw78xtn48bLTlm5shdQqs6t8SJftMivk9r100G5bsEq+B8IajNcsSvTHT78TnG+L2UfOxdp86ChABIFfGNF5ErfBE77X2JOBJIIlKwAMAZzc2KQJAfgDMmMPT+Tc0YuEpPTfvrfx/58Z/qN/0J8HDDqA50UIAXQF8769LDyRu9tto+hzt1yAQBgRsWL0bSQ4AimRPh30nL+JaLOI1WpV6nNVjxBvGbWbSN/nEPtxhst9TFgDg2vUbKBEHG215vulTJcf4J+vi1pHzwxVD2O25Adduyp12qjXL0gJAuw/nYeNBtblRxfw+DYAXUte+1NtWyKO8j7ShVe335LXwJOBJIF4l4AGAszuTWAGAdvwMnE/bftrh09Zf7BRowjMZQHsAWvuBnwHUB+ALVA/8AKA5AJoIqfYffnMiagVobpQWwHm//T/9COTyNIBRAEoDMI9Tpm6b5ADA2TK8uVvR3OWzB6qj6xh1Vle3pWKkAbh6/UZcnLTL86W9f/4saeMiM7SbJkBGAFA2byZMer4hWr8/F1sOn1Xdeg8AnD8JBID9py66BnDOR+K19CTgSSBSEvAAwJlkExsAVAXwEIDZABiXrwSAVwGU8m/4pwC4D8B38J3iy07BlBBP6x8GkNovrqkACgEooyM++gmMBfCkHxgY5FxPq3CvX0tAEyPCiFEhZNCPQC7FAfxp5ATs7JZ6rRKbBJi0ZVCH8uj5y9qIDl0PAL54sAaY6bZU39ib2kR08mF0ThDhJtKNovXLEH0KAGj+7mzs0GQCrpA/E/JkSutpABzcAAIAc5Ks0ZhVOejKa+JJwJNAnErAAwBnNyaxAYDeLLP47fhppMuIPwIA6gDQHqkSAAgQaSQAKAigrAEAfA2guwQAr/udieXqAgD0gEOuNxDAAL0JeADgbPEmlVapUiTD0A4V0PPXyALA9Jca4aMZ2/GXJlznlqFtULovlWZe0X3BaEypwpGS1i9D9MW4/pNfaAQPAMKRbnBbDwDclafXW2QlQF8grQlgZK+YNHr3AMDZfUwKAMCZ06mXG/V0ABrFqQmQpwFwtkaTfKvkyW7B8Dsr4LVf6Y8e/cJMxGX6eQBgJHkC2pVr1vMPvNGxImoUyYoW780N6tIJADBEaN7MiV8DwHVOh/NoFgUATl/Cmr3qyErRHIN3LU8CViVAbd/6/e6EHLZ6zaRQzwMAZ3cxqQDAZ35THdrq0zeATsB6p/WMTblHcgKmff8wHSdgag9oziM7AdO+n07AbTWi5rUfBOA5ATtbg14reqt3rIjXf/MAICkshnc6VQYzI+s5Vmsds61oAJIKANgFKTfWAgHg4OlLWO0BgBvi9PqIsATcDDgQ4aHGVfceADi7HUkBALL6TYCOAqCPAAtNf6gNqAJAZA4Sm/qnAHDTziLCgNK2n3kCRBGbejkMKH9nGFD6Hez1V8wohQHt4uAWeE7ADoTmNXFXApsGt0HZ/p4GwC2pvn13JdxVrYBubgVmOD5zKThYWCgTIJoF5MuS+DUAsUjk5gGAW6va6ycaEqhcMIunrXIgaA8AHAgNQGIDAIbk5An+cgDH/DH5XwZAZ1qezDP5FwszBk8D8DeAT/xRfhgSlAG2jRKBMfEXE4ExRCiBQC8RGNPy8rpMBEYnYWoZCB21ADjJfOUBgLN167VyUQIbB7dGuf70n/eKGxJ46+5K6FyjIOSMy2b9ls6dEVNe1PcB8AEAw4Bqk5ib9RpfvzO781kd+InkKNtV9GkAtMnVInlNr29PAk4lULVQFm+tOhCeBwAOhJYIAYAbbibcKgoggz9JF8N/MlwnN+9yaQlgsF8LwHCh//gjBmm/oin9icAeAZAHwG5/WM+ROiIlaLwDoBmAFH4zIYYFXelM/IoGYr3nBOxQejdpM5qX/LH6gGuz3zCoNcoP8ADALYG+dVcldK5ZEMV6TYAdk/ftw9qizoiZOHZOTlQOMEJQ/iQAAEb+D27JXa8fagAOnfEAIJIy1uv7maYlMGrW9mhfNtFfr3rhrFjx78lEP49oT8ADAGcST2waAGezjN9WHgDE772J25HdW6sgflgqrNDCH+b6Qa1RwQOA8AXp70EAQMk+E3H1unWn1yoFs+jaqtM8qEBWmgAlbg1Ajgypg+DGNaEbdEQAOHzmElbu8ZyAIy1ruf+fnqyLzqNDRcWO5mgSz7VqFsmKZbs9ALB7xzwAsCsxX30PAJzJza1WHgC4JcmbqB+3AWDdwFaoOJApMbzihgTevKsi7qlZSMmtYCd6kNG1owkAtYpmw9JdjKjsfsmdKTUOn1FrN9y/irpHmgAdOu0BQKTlrO3fAwBnEo/k8+dsRImjlQcAzu6TBwDO5OZWKw8A3JLkTdRPl5oF8eMy9zQAawe2QiUPAFxbQYzo1KVWIZTtNxkXr4oYBM679wFAuqgkAqtdNBuWRAgA3EyoZlWa1AAcOXvZM6uwKjCX6nkA4EyQdYplw+KdkQFwZyNKHK08AHB2nzwAcCY3t1p5AOCWJG+iftwGgDUDWqHyoKSpAZj5cmM0e3dOVFeHAIDy/Sfj/JXwAYCDN4oe5PbEInkCWTBbWuw94U5GZavzJgAcPXsZyz27aqsic6WeBwDOxMis7HO2MqChV+xIwAMAO9JKqOsBgDO5udXKAwC3JHkT9XNPjYIYv9w9DcCa/q1QeXDSBIDdb7S3FY3HjWU0omNF3FurECoOmIKzl4NDfrpxjUj1EUkAKJojPXYdOx+poev2SxOgI2c8AIiq0AH83L0uOn3m+QDYlTuBddL6Q3ab3fT1PQBwtgQ8AHAmN7daeQDgliRvon7cBoDV/VuiymBGzU16JRYAMPzOirivtgcA2tVUIlcGbD9yLqqLjABADYDnWBlVsXsA4FDcHavlx28r9ztsffM28wDA2b33AMCZ3Nxq5QGAW5K8ifpxGwBW9WuJqkM8AHBrCQkAsJMHwK1rh9tPJDUA9GXYfOhsuEO01d4DAFvicq2ypwFwJsqutQvhuyVMdeQVOxLwAMCOtBLqegDgTG5utfIAwC1J3kT9dK5RAD8t3+fajFf2a4lqHgC4Js9hd1ZA19qFo2565MYEIgkA5fNlwoYDZ9wYpuU+CADHzl7B0t2eY6VloblQUfYB8JJbWRdotwZFMWb+LusNvJqKBDwAcLYQPABwJje3WnkA4JYkb6J+3AaA5X1boMZQkUQ7aQkyFiZAQ++ogPvreACgXUmVC2TGmn1Mxh694gFA9GQtX0kGgBqFs3pO2BZvw7PNSmDkTC+BmkVxBap5AGBXYr76HgA4k5tbrTwAcEuSMeqnYckcmLftWFSv3ql6Afy8wj0NwLI+LVBzmAcAbt1EDwD0JVmtUJaoJ+RSAODclYjlNnBrzSS1fmQA8JJbWb+7r7ctgzcmbbbewKupSMADAGcLwQMAZ3Jzq5UHAG5JMkb9NC2dE7O2RDdsm9sAEIs5iNv1cL0iGLtwd8TuXiw0AEPuqIAHYqwB+OuZ+rh91ALbco2kCVAsNoIEgOPnrkQst4FtAd8kDTwAcHajv32sNu7/comzxjdxKw8AnN18DwCcyc2tVh4AuCXJGPXTslxuTNt4OKpXv7t6AfziogYgqoPXXOzJRsUweu7OiA0hJgDQoTweqFskpj4AE55rgPYfzTeUa4MSOTB/e7DmKlIAwBwA+TKnjfpG3AOAiD1aITv2AMCZ3P98uj46fGwf3J1dLem08gDA2b30AMCZ3Nxq5QGAW5KMUT/cYExcF924zQQAPrhumgHFSHx4snExjJ6TtABgcIfyeDDGADDp+YZo++E8w9vKaCN7TlwIMl+LFADQ0fzp71Zi0c7jUV1qfD5PnL/iZVeNqtSBpOwD8F7nyqhSMEtEEgz+/UwD3DbKGNyjfBsTzeU8AHB2qzwAcCY3t1p5AOCWJGPUz+2V8+GvNQeienUCwJt3VcLOo+fA2OpFe02M6vXdvFj3xsVRMlcGvPzzGje7DfQVCw1APADA5Bcaos0HxgDAPAV925dFuf5TVHKPFABsGtwG3f63DAu2ewAQkYXuUqf5s6TF/lPhZ2v+P3tXAS1VtYa/25fu7ka6u7sUBEQUpUVFQUBAaUQBBQUMEExAKRulQ7q7QZqHEtIgcPut78TMmTPnzJyZO3Nz77Xeenhn57/32fv//tSGAU1pTsCbhjVCoWzp/KLhWzagHtp9KgCAp8dZAABPKSbXFwDAO7r5qpUAAL6iZAL0U7toNicJ5tOV8+HXAwmbuKVTlfz4qEtF24qTY7x5dfKvNiqGkrnSY/CS5AkAcmQIkxJNacs7T5VFjzqJawK0elADTF19EutOXDf8MrpWL4D3O1VwYmJqFM7ql5CZJ99thb7z9hqaHfnz06UG4PZ/UQmuefDnmvzZt69yNQgA4N0urRhYH20+MQfu3vWa8lsJAODdHgsA4B3dfNVKAABfUdKP/QxvVQqZ0oSgVdncqKoLl0lm/Of9vovIY2UZAgBYoZJcx98aACNJ+/gny6Bn3SJ+kRBaXfnawQ3wwapTWHfC2D+FoWSndK6YoADgpfl7EzxiFgHAnYdR2H42YTUPVvcpqdXzVa6GlGwC5E8NgDvTvaR2XpLKfAQA8G4nBADwjm6+aiUAgK8o6cd+aPPZsUp+aQS9tN3XMfmtLIPp4qd1qWSrmhw0AI1K5cC+C7dxPyLaYYn9JQ1ABgxactDK0j2u408A0L12IUxoX87pTCQFALBuiAwAzBzUaUb24TMGAKBIVr+EzKQGoN93+7D5r4SNmCUAgPzJBAUGICY2zu33UyF/Jhz2Qa6GlOwE7E8AQM1dyxmb3e6TqOBIAQEAvDsRAgB4RzdftRIAwFeU9GM/H3ethPaV8hkCgOdqFMCi3f/z4+jOXSdHAEBGvP+CfU4O00kZALxUvwi+3GKelZMhTMc/VdYJAIx7sgx6JbIGYN2Qhvhg1UlTAPCuSaQif/kAnHqvFV7+bh82JnDIXAKAu4+iEtz3IEEvBAuDhQUHIiI61m3NigUy49D/7rit566CAADuKGT8+5rBDdBiugAAnlJPAABPKSbXFwDAO7r5qpUAAL6ipB/7+eS5yqCzL4te2s5oKgt2XfLj6CkHALy2cD+WH77isKDXGxdHiVzp8cbipKUB6FW3MJqWzuUyJrcZABjbrgx610tcE6A/32woJRRaYxKi9szE1ggOCkwwE6C/3muNV77fhz9PGvsk+OsDEgBApmy60CD8FxnjlsxP5MmIE1fumdb74sWqkibHXREAwB2FjH+n5q7ZNAEAPKWeAACeUkwAAO8o5ttWAgD4lp5+6e2z5yujXQUZAJz99wGafrTJNg7NQObvuOiXcc067Vg5H6Y9m3AmQFM6V8Dwnw7Ha43UADBqURMN7djhgCbFpUhG/gAAk54uD0a78cZEitL/hiVzugQABAnjnnTWACQFALBhaCNMXnHCFABwP4wArd4JuNkTuUz9CDw5EKcntsar3+8zdUr2pC9P6rarkEfyATDKeeBJP8m9Ln2YqAlxV4rmSIdz//5nWm1ur+ro+e0ed904hAFNjARwbicYjwrUZoUFB3l1r7gblpq7ZtPs74u7+uJ3mQICAHh3EoQGwDu6+aqVAAC+oqQf+5nVrQralM9jG0HLUPo7k63RshIaAJBZ/OPQPxiw6IDXVFYZzsu3H6LeBxts/RAAlMiVAQM96DtvpnD8c/ex27nE56FmeFImy3KVlbNPvSIY066MEyPAv/E3b4CH20VZrLCRAGDlCaw+ZuwErO4Hkw5pTT70AIDr+HqruRmUxemAGodXF+xP8KR5UzpVkML0pnYAkD19KG48iHS7XfmzpMHl2+ZhQOf3roHu3+x2209K1ADMfL4KKhbIhPxZ0krr98f3Tc2dXkjiltiiggAAXp4BAQC8JJyPmgkA4CNC+rOb2S9UQatyxgDAVwySJ/Nn6NHpCagBILNIZ1JGcfG2qAwn29ectA7X7smhMwdSA+AhAFj4Uk08/+Uut1Oh2UlosLOZi9uGAGiaVKtoNpcA4Kvu1dCsTC4nRoDx9fvWL+oXBsHK3Fln87DGmLjiuFsAQEDW+MONiIqRHUT1PgC+Ot9nJ7WRNABmJklW16WvVzHgDKoFnsKimKZ4iHCnbs5NaoMe3+5O8OhD3q7HX+1yZQyzfXOuxjAKa6utv6BvTXT7yv23l1hRgIxCNfuKpkxmlzVdqK07fwAAAvdGH2701ZTj2Q/vhOTBIgoNgHdbnTx217u1JYdWXgEAXz3KyYFASWGOc16sipZlcxte/P0aFMUXm/2XydZo/XoA0HL6Zpy6dt9vpCLzvv7ENfSZ5xsAMGPdX5ix7rQMAJqWkBKBeaJd4HzmbjuP8X8cd7lmmp2EGNi5WyEU50VpuCsNwPnJbRAQEICVR65I0m21rH+zIYrlSJ+oAGDL8MaYuPwEVh0zzlKtBWQbTl5Hr7myWYe/NAAEAMwEbDYfK3tiVOdC+PPSn+dFN8e46F4OVQpmTYvNwxvjha92pXoNgFWtWYOSOVxGajIC30bahcQCAHRuH7P0mLfHyWW7A2OaI4ufAQCFFiVHr/TL/K2+Sw4AACAASURBVD3pdFzwPLQK2oM+kUNxPK6wJ00Tpa4AAN6RXQAA7+jmq1ZeAYDEYDp9teDk2A8d31qYAACaiszedDZBl9WhUl7M6FrZNuZ3Oy747dHjIGQW/zx5Db3n+gYATF/7Fz5eLwOANwgAcqXH6wtl8yIybZduPXRJTzP7dX0jM0dXK5s1pHlJVCmYxSUA0DLRTAZ26up9hIUEonrhrNIQ/pAQWpk762x9qzHeW2YRAJy6jl6KXbceAPStVwRf+cAEiJJ4OoGvPGoMSKyuS19PBQASvR8vNAQAz32xM9UnAqtTLJulXAg8NzTH23/JOBLQ4n610PWLnQ50plkQJePaDLauTIColYu0EJHI0zPxbLUCmNSxPIqN9E9m9INjmyNzWv9qAPwZttgTeqrf1dW4LKgVMdOTpolSVwAA78guAIB3dPNVK48BwDNV80tSiISWOvtqwcmxH1cAgKYin204k6DLSgwAsEHDJHqzWC2zPG3tX/hEAwCYB4DMIYuVTKQJAQBoxlM6d0bLAMCIJokJALa93QTvLTtuynBr92Pjqes2x049AHAXCtXqWaC2hCBv+RHHKFBW2xvVC0Aszoe/YPvJDAB0mbPDL7kN4jN3f7ZlwkK9poV32A97L7t16Hb3bX3XpwZe/NrRB2DRS7VQu1g2W5jfpqVzSlmmq09cJy1z4tPlMOrXo7YlEwz2mbcHG3wcEpZaJuY78Nd3d2hsC2RKG2I/b28v9/k2+hMATGhfFmMtaUficCG8m+l35fNF+6BDAQC8I6IAAN7RzVetPAYAS1+rKz2iyQUA9KhdCPMSOEqOrzZH7ccVAKCpiMrM+npcs/6cAMDOixjzm/2B1beLrxSXj5KWSfRmnWYAYFAzmgD5BwB4yxDky5wGa4c0wP6Ld5ItANj+dhO8axEAMDmX6tjpLwDA/TcKA+vNWVLbBCMaZ8K7uwUAz8zejj0XbsdnqGTVtm35PE5Ai9F7GpXKiaIjlsNVPjBXAKBi/kxY1K8Wyoxd7UCPJf1qoWbRbHgcFSMBLWrA0oQGSaZE/7v9EF2rF3SQyrsDGd4SWzXJcwUArAgYzMY/PL4FMoYnTwBArQvNi6yAI3fA2tv98Wc7AQC8o64AAN7RzVetvAIAK45cwZwEtjv3ZsFMWFUkWzp8tPYvb5onmTZfdq+G5mVyGUp+BjcrienrEnZ97SvlxcdaEyA3AIDJtmZt9N5MiQ/2pr/+RQ8L0T/MNs0BAKw5hU/+lLUmBADUAPRXbOjdxSH/7bW6qFQgs9TW3WPmDQCY/mxFKeQrfQe2nP7XSdqpXZ92TUbrdjc/fx7wnSOaYsKyY06J19QxtXPXrtOfAIB+Howm5asShkicCu/pFgB0nLXN1KTFV3NJSv08WTGvE53n9a6BhiVzuAQAalQrs2+LDDazCRcf5WijTnMfOo+7KtpvwV8AwEq/vDsOepno7Mj4FsiQDAHA261Lg1qhwtnTub0zuYfugHVSOuvqXAQA8G5XBADwjm6+auUVAEguGoDOVfOjSPZ0mLr6lK/olSj9qNFe1MG1j9nQFiXx4ZqkDQBoZ6/a3HtDQD6s7phhd/1qGc6P1pzCpwoAoK098wCoAKBMnow4bpKIiBEy+IgZ7YPR+DQ1CPTQJEAb8tXdmpMyANg1sikm/HHc1ORGO/etp2/YNB3+BABvLD6ApQd9BwDS4jGOh/d2CwA6zNzmNdPn7lz7+/eSudLjr2sPLA9D6X/a0CD8uO+yQxva6dPBl/bxZOKNivZMGIFX/s62ehv7n16pjWqK34vZROMDADKGB2NK54pS10wmZ1asAID4ZDo++k5LpA8Ltnz/WN40TUV/mAC521f9PEMRhb/Ce5h+V96sy99tBADwjsICAHhHN1+1StEAgP4KRXKkw5RVKRcADG9VKsHXx6zEzE6slu/caAD0ICVPpnBcsRBHX+2fD4iWSfTm8GsfoQ9Xn7L5TbypAAA1ik7ZvBlx7B/jTKR6htudhN2KSYB2LYEBwKFxdilfcgYAu0c2xTsWAYDWBEgfRtFXAQe4d4MWH8BvPgQAGfEfDoe/5BYAtP9sKw5dvuvNsU30NsVypMNZF4m59BOksGLb2Rv4dtsFh59ou1+/RPwBQFxcHIqMcHSy/fnVOqhaKItLWsUHAGROG4KDY1tI/bv65uMDAF5uUFRy8P1g1UnTdRx7pyXSpQIA4E6zlugfhcEEBADwblcEAPCObr5q5RUASC4mQIzKQADw/krzS9VXhPRnP640ACNal8bkBF6fHgB8v/MiRrvwAdDP0V2yHz0t+bBuO3PDUvxvs33QMu9TV5/EzA2ySRIBAKMAvfK97AScWACA5hFTn6mAnBnsseRdAYACWdNgy/Amlpkef55Po773jGqG8X8cw/LDxk632v1goiw1EVub8rkdzIZ8CQCGLDmIXw787TNSZME9HAh/xS0AaPfpFhz92xhU+mwyfurISvjO1uVyY/+l29LZpYkctX16vyTG769bPDuKj1yB6HhoAIyY8F/710Hlgv4DANnShWLfmOY+AQAV8mfCYQMwyO/BXa6T4xNaIm1oytcAuNOs+emoe9UtrQyaPZETfWb8in++fo19lAPgnziwXs0waTcSACBx9ydFA4Cu1QtI8dAnrjiRuFSO5+iuAACjxby33Hl9ZNJpa+oupKU3U/MUADAzLR1C1VI4W1pcuOk61KZ2Xnwct5+9YSn5lhUAsPTg33hj8UGpKpOsMdmMqtovly+jKbPmqQbAikRQnS8zOo9/ip+jvZgBANKTpha5MzknntK2d6ehMKOVKxpYPS97RzfDuN/tAODlhkUxZ5M9X4WWlvN3XLBFB+lWsyAW7LpkG8aXAODNHw7h5/2OpilW12NULzvuYm/4q24BgL/zZMRnDe7a0vzl3uNo02qhQYHYObIpWI8RcJiX4qst55zupIV9a6KOnwCA1i/HbKLx0QBkTx8GnmcWs29q7eAGUkZxV3X4W6cq+Q3PoBUAcPLdVggPCbKft2QSBchTE6D0eIij4X1Nvyt3ZzYhfycA+PCZiti8ez8a1qzKoQUA8GADBADwgFh+qGoJAGilFowClFw0AM/VKAiqsI0YZD/Q0m9d6gFAqxmbcfKqnHhrbLsymKBhrtVJdKmWH+OeLIuy4xwjZvhikr3rFsHYJ8vYunKnAdCHf/PUrIAPyI6zN/Hcl47xvz1Zi/YRio2Nk85EUCAwss0TUnbYl7+TbXvL58uEI38bm2v4EwD0qltY2i9tMQMA7mz/1T68BQBtK+QxldxbpTkZpvG/H8MyRQNAkzFVys8+tGvQ7u3sF6o62Fn7EgAM+/GQk2261fUY1cuFW9gV/ropo6ImAvN2H7yZG0Ngrj953Zumhm3I1Ks2+xnwED2CVmNHbBnsiysl1d89qqmD1op/O3/jPym7s7YwgVedYtlRYtQKW9Zn2u53nr1DqhYQAJyf3NZOSwPm1gxQ//56XVTILzvmm5X4AICcGcKwe5RrAGCFyX2xViF0rVEAbT/Z6jRNtl93/Br6ush2rgcAWl8mX214QvoA0PfqzHVn/5KMeIDD4f1MvytfrdUX/agA4NixYyhXjry/AACe0FUAAE+o5fu6yQ4A0JlMDRnojhzP1yyI4jnSGzLIZm1pisGIM0mpfN2jGpo+YY8C9M+dR/hm63mQUaM6mZJWfSEAoOOaL5kPOrA9jozBD6/URqY09nB07gDAux3KOYQJdWVmY0R3Pkq7zt3Es7oEQJ7skSumefWxqzYAYKai51gJDQCOXL6LJz8zZhasrN3bvW9ZNhdWH7tmG2Lck2Uke35Pih4AfNy1Eob9dFhKwESzqwFNS9i6o133l1vOIS4OIMOvtfGmbbQvIo5x74b/dEiKRe+rkg//Ylv4G1J3sXEBKBqxwKHrhAQA9QMP4+mgrbhU9jXMOGjsZBvfdX8U8jk6BW2RulFzHuwf01xKwqUvDMfJ/AdqUWP1lxy1EpExsdKfT73XSjpnC2hC2LYMyufPZKuvPbs0IaQDMSN0SWPrwMGyAfVQLp+9rdE64wMAcmcMl7QcRmOrY7kDAOlCg3BsQiupOkMm029KW6wAANIrLNiuATCaDwHZ9zsu2qKcebrnCQkAGCShqEHStMy4j4PhL9vPgi7Bnqdr8md9anQ+6lIRAgB4R2UBALyjm69aeQcAjl5xUOebTSZHhjAwQ6kviycX1Au1ZAAw3gPmxUxF68s1eNqXHgBo28/ddt5wfXSAnvqMbwHA6YmtpfCU+uIOAOgT8ZAZ8ESazz3XMxSe0tAVAFhz7Cr6KRoAxho3c9j0BQAwW7uRCRDXOOrXIw4mMfybLzQAtJt+etZ2QzI2KZ0Tf2qkyLTf7vbVLo9ITgBA0KCG3SQAYKjGY3/fQ8NSOQzPkToANR+DlxxEr7pFcO9xlKW7xt3kSDMzE6AgxCAGjoyVu/74e4GAa9gSNthWdUxUT1yIy40tsRWkvxH4UurrLRCzMge1jpo59W5IDlS8/7EnTV3WpWZKdeg1ynp8YExzKTGkUWkxfZMtghAz+NYqmg1aAKCXaGv7MGLY1d8TGgAwLwcT27GYBSNwBwAYvYdRfMzWYMUEiHH0GU/fjE78OwFA1rShTqFSrR4IT95XT/o0WrfZWFlxD/td+NZYHdebep4IGNm/AADeUNneRgCA+NEvvq39CgByZQzDtXu+AwCqqtfqg8rHlw6e1rIPyqSk1mChxgY5vgT2RXtXAODrrecd7OvV8VTVpFVauZon1fNVCmYBo20YlQW7Ljpk2tTX0QKAxqVyYFLH8qg9+U/LpOFDsefCLTyjmAtYbqipaBkAFMiMQyZxut0BgDrFsmH72Zu2UY1MFswePZ5VMoxG5cz1+2g2bbNTv+7o4GrvaTfN8JRGpX6J7Nhy+obtJ08BGxvSCZimaVoA0L5SPndTtv1OrQDtySevPOEzAGAUBrRswHksDJ2ITbEVMTBqgOX5sWKRgCvYEPamU5vKj2fj3ecbonW5PH7NDKsd2Ig5t7oY7neWtKGgM7a+MPKMakboOAa1HQE4OLa5FL3GqGgToKmx+kuOXilpgVh8BQBWDKyPMnll7YBZ+WX/ZSnCDk3+1HNo9W5k0IKtb9kd7s1ClKpjz950FvO2X5BM+lTfogxhwTgSTwBgJIDRz0U1ybK6Nj29kgIAyIE72BPe3zY1fYZtq+fam3qrBzVAyxn2u9ZdHwIAuKOQ698FAIgf/eLb2ucAYErnClIECF5+Y5ce9Sjco7vFbH2rMfJnSWtZovZcjQIokzeTyyy1+jEpiZ273TGEnbt5+fv3b3pWQ5PSdhMg7Xhfbj5n6OSsXkx8CDoHbUJUXBCWxtbzaqpM6pQtfaip1NYdAJj0dHmM/PWINPbTlfPhrValUWvyestz4aO07+ItdPrcblJgubFS0RUA0EbfMIvTPaxlKbzWuLjDsPpH1gwAMB7+vB0XMK1LRYn5MHqc6fw68enyhsu6fPsh6n2wwfabLzQAv/Svg44mGoBaRbNi57lbtvEove3qofkVAQAdv1WmkhoATwCAOrgvAUD/BfucEpNtDRuI/AEy2Cn5eB4iYTdtc3fGigdcxrqw4U7V2kW8h2WTBwB/TgROr0ajC91xIS6Pu+7i9Xt8AECPwnfQ484szLpfFz/FNHSYh8oQDg1egteDl9p+K/b4O0lrcmhsC2RKa0yzzp9vx96LcgbkH1+pLWXonbj8OL7ccl7625mJrRFsoFHkb55oAFYNqo/SuV0DACPiWmWSVVMutQ93AECtd/dRFCq+s0b6T18AADWxoHYtTgBgZFPkzBhu+Y3U08VTAMD7/Fc3kbXMtCNmY+XEbewOlyLqSCUhAcC6IQ0chC3qHKgJoyZI708oAEC8ri0IABA/+sW3tVcAYOXRq6CUw6hoP3ZtdA+1bt3AI+gdtAqfRXfAgTi7HbCVhWx/uwnyZk5j+XJjtBqqnVXm08oYvrI5tjKW1TquAAD3wSjMKbMgT+tSCc+NnIJFoROloTpGjMf+uJJWh7XVc8dwugMAkzuWx4hf7ACAkYuqvrfO8jxkAHAbnT43NllhR6VyZcCpa7JjtLtzqf9d63xnlqnTiAZWAQDHexgZbQvhZ8RAEKxO7iibjujLlbuPHDQm7vZDbe+KwaE2x4yejKlOequFzJun2hcCgJkbztjA9JwXq6Jl2dyW91yt6AsAwKhGywbUx0vz9mDtCUcH2VNh3REWIEe5KfV4LiJgLM02mnipgEtYHfa200+tIyZj5cRXgAlyaMrrcZlRI2KWx2v3pEF8AMDp8B4IQZQ0nJ7ZujCpFeqM/B7bwwc6TEelFfNWaP2BtJV4vtRzpCbrehQZA5oM0temZtFspkv0BABQalsqtxyBx5NiFQAwatnGYY1tXXsFAMKDcWS8axMgd3k/1MSC2jUmNgCwAhi09xW165/+eRrvPFUWLZgd2MDZOw9uYke4XRunnsl2FfLYggp4ss+e1N00rBEaTnV0YGf7n1+tjbJ5M0l3pjZPjAAAnlDXua4AAPGjX3xb+xUARMfEgmBhwKIDtnnG56FSpU1dZu/A7gt2CaUZERgRo3mZXHhbYT6tEGtAk+K2LLFW6nta5/s+NW1ZT7VtP+hUHg8jYwydLV0BADJZRpmOO1bOh2nPVsLM0S/iteDfpaGmRD2LWTHtPZ2yW5tzdwDg/Y7lbXugzsvK4xuOCOQOuIWNk/tKccbNJNZcEKVj+gyh2oW6YprXn7iGPvP2StUrF8yMA5fuONHIKgAg86xmGTYb02jtqtO20eZcv/cYNSbZNSZWAUDXL3Y4SPK1ffNBM9Oo6EGQK7BgdphoisAQkU99tk1yEmUfjCjjaSG4NRM2WOmLzCkFB+keXMTtWc2xM7IoXo2y2+2fCuuBsACZ+S3z+Bs8hOvQqtoxywZcwPKwkU7TaB4xBWsndAcm2gFP78ih+DOWIWftxV0W70DEYm7IB8gQ8AjPR47EIxdzi8+9atZ2fPBc9Ey3E6tz9ETLy584zL3s46/xH9JIievMAEDHWduwX/mWeN6qFspqZcukOp4AgJVv1Lc5CFsewE1SL20/RbOnw59DG9n+pJ0bJcNNS+dCvRLZnYa++zAKFSesQTbcxZPhBzB+6DAgfU6n9fEP/KYZbenpWdsM8wSwjppYUDtQr293Y8Mpe9AKJuCLrwag3/y9UmQ0K4Xz1t6fRm1c3VdGd6HWuV46C48Xgskjf3+9HqpPtC44YlszgY7Z2nhX1Hnf2Tz1xIRWSBMaBJomMsv18J8OS10IAGDllJjX8fxFiN94orUjBfwKANShHC7z8OftF6mH3v2qyvjmgwhLEuSaRbJKH+jwn+WP1Upx9yhb6cNVHTOJydTOFfBfRLShQ++3PaujcWn54dAXmltNW/uX099VRvuz0d1tqvupUV0wM6aDYT9pQ4MkAOLpBc76lOq40rIQ3Lz1s6wBUOfFi9y1g3gcfg8djQqB54HnlmB/mpouAYA7SZRVAFClYGYb06KlhRUAULd4NnzbswZWHr0ihRMtmiO9IT2NHj3VZ8OowY0HEaim0ZhYBQBs13jqRtyPcI7j7kqqT5MvrYmWpwCgdO4MIFNGG36GXKUPCf/tTVEBQOWA0whGDPbElbbUDZ0uqXFguFqJQf2mFXBJNiGr9fhTXIUsfdYCgPKPv8J9pLXUPytVCDiL38PGONVvGjEV63sXBRZ0cvhNK10nY/JCrUIY+uMh0/GaB+7Fl6HTpN8/jn4a06OfMa1rxsQzhOV1F4EYcuA29hiaW8ThQng30/EqPP4C95DeJQAgM6uCaSvZerWDeQIAlg+sJ0lnLZeN7wMPrqH41kaIhj2xlll7hqtcN8RuGuVqbto+VADwW+hoVAo8B+QuD7wiR/XS3wHqN00G83+3HqHBVNnkr17x7JLpSZ3i2QxN6PQCIDVZmBUBi9ldf/u/SFR+d60lcqrz1gZS0Df0FADkD7iOrWGDbN3wu2EEKDro+hsAUHOpHYNnK0f6MAlUqeXHvf+TIpqxqJp2EQXI0nFxquTdq+DdWKKVMwW8AgCrjl3F5xvdmwCpw/kKAGgvkrYjPsPrwb9hfkwL7Ih1jJ+ujstwk7TpVz9WKwfALLGWlbbu6jAKCp3hVHowikjjwINYGlMX47rUxb1HUR4DgOlr/5Iyb+oLbTOnP1sJn4zugYHBv0k/fxTVGZ/GdDScpj8BwJROFWwgTAUA1d5bixsPIk1JRunnufAXlN8DsK/XeZvJipFUJz4A4M+T19B7rqwB0Ju/qBM0esSKjFguha5UCwHAgr613B0DQ7W3+pAYNb7zMBKVJtgfZKsAgH199udpfLjGGSDyHGrDNLJu9vSh+KJ7Ncnhu/m0TTitxOh2pS3Qz5fRUpg5VZuwyC1BXFQgAFi9eavN2bZNxCQcjyvstsuzIyoj6P4VIF8VOcj8hyUlpo+FEvrTcXRIDsDJsB4IVzQAlR7PwR1YNyUhKPk1bJzTXJpFTDH0DdACAPqaPFe9gEvtZIfArZgRKpsO/R5T28FJmQ7jwYEBNtM6IwBQvXAWlMmTEfN2OIac1E54V1h/5Aqwa7yGlNmEX/b/Dcb8P6JJxqRfZNXHn+MmMrkEAM/O2YFd52VNrZVkXdoxPAEAVsKA2vq+vBf4Sg7p+W5UN3wdY889YHaoSuZKjzWDPQcA6ner3RuMl3OMmAEAdQ6TV5yQ8pEwfwYTkZmVWRvPYMqqU9LPBN6rBjUw7N/tB6NUUO8WqzkGzOz7teN5CgAKBVzFprAhti743fB7YT4cfwMAOrW7u2t/2nfZBtwFALB6sozrCQAQP/rFt7UlAKBlihneb+e5m3h9od2sx93H7g8AgPGamNEmmgTabg5oUgJvupCy6QlI20SjuPr6em80LQFG4HlgIF012xRmDKSkV6XHobC+yBTwEBtjKuJup0Wg5MUoZKkrDYD2oi6QNY0kPWLpUCkvZnStjI9H98Ibwb9If5se1QkfxzhKJdW5Mk71f37SAFC7YZOYKKZJlSeswe2HsumFUQlDJE6F97T9tK/XBQkABCAW47Otx9E7Ifgxxq6Wjw8A2HDyOnrN3SON5QkAOPbPXck59r6SKTU+AEDdLyNa0G76ibGrbD95AgDMAKLWsZffyZ9vNkKgxkRHa76hTdjESXSvXUg6xzTv0RcjM4X4XFIEALFbZ2BkyCKpm9nR7fBE9xkYsHA/mOjPKEfAM5VyYOqZp4DoR0C3n4ESzYAPCgOP7H4N7OuZbL9g/o2uSBMgA1GVqeW/3w3+BtUC/0LfyDfxN3KAye++2XYePJeMh381LitWxVTHT2ETnJbXMuJ9Q98AVWrOBrSBf6ZaAXzy21bMCJmJ/XEl8FF0F4e+WgTuwReh06W/rY2pgpeihkr/pkN1uwp5QUmkat5oBACYv4EgThvVTB/y1IE5Zefj70r3U9GAf/BnmDyeUanxeCauI4tLAMDoVUx6VSBrWtBO3xMTMFcAYNXRqw7J4jwCAId/BH6Rs8zqQZXZWrWMNetY1QCoknQjAHD23wdo+tEmr75p7Ty1AIDZtke0fkL62ZUGoGbACRQL/Ac/xDR00oCod4uZWQ/BCDWLLHqhhdGY+gRvUsN7/wDpcwGBQdI8Swb8Dw0DD2FJTCNJq6SPrkUAQDA7q1tVjwEAhRquBE36PddGveJvRnctLRBmTR4i5d1I0/lzFKtQR+QBML0pXP8gAICXhPNRM0MAoE+GxfBj3+24iCLZ00mmKFRTTll9ylAL4M5UIl62qu9rpDUWAAAvK4agVLO8WqGZNmKNWX0yoecntUUMAiQA0GnWNlQI+Ru3wvIhJjiNQwhFbR9qOE/1otTSYkvDRTgXVsYQfLgCAFNWncQsRRujzayoMpTTR/XG4JCfZcYhuiOmR3e2TWlJv1q25Fr+BAAEPqqpg6oBqDB+Ne4pjLMRndPiMY6H97b9JGsAdqB94FZ8rEhFtdJgSwBg77fAvyeBpuOAULupx4ZT19HrWxkAVCuUxRa5RDsvM6Z794H9WPzjEqyIrYmqxfNa0gBoY6GrYzxZMS8+fa6y4ZHj96ZNjuUJAJi6+iRmbnDW1mlDe9JUbsnLtR3G1jtwMpTu8Sv3wAhBi/vJda06Q1r57szqkNn4ZspgDA+Uk2zNiW6Ll99bKJkWEbDo50BTjSIx5xE0R4l4laM08NouYGIeIOqhwzBXAnMjc8wtGwCo/ngm/kUWaMMQbo4pj+5RI/Ba42ISHQcF/4RBCqD+IKor3gpZ7DT1zhFjDYHB21F9sThGDidJE7E+9Yog5JeeaBu0W/rbzaCc6PVwAA7HFZP+u3HgAXwbOlX697aYsugWNUr6twqyFu++ZAgAXosciOWxtUAAQBMcNRLTq0G/Y0Dwr+A8fo+tK/VlBgBqBJzAD2Hvmm5d3ccfS8DIlQ8AGzMSDrWLRvlDXJ2LIm//gZy4g2vIasiEtft0C47+fU/qwkomYNtYh38AfnlJ+s+lMXXwRpQ9k7PZfFQ7b/V3qwCAPnDFR610pLGiAdB/P55809p5UhPP8KYsDGAxoo1rAKDV7IyP6o65MXJyMrVoTZG+2HxOAm1L9vzPpg1cM7iBZJLEsMwMsKHV9BndB2xP/yxEPQKWDQauHgWuHQGKNwNe+Fn6ftUzSED9StRgFAv4G+vDhtnmRADACGsfd63sAADGP1nGoxw/aofULjcKPIixPdsjLmsxh6zVzLXAULV6ejidDZX/SJMFeOuCAACuPmYXvwkA4CXhfNTMEAAwrFqrGXLGx/aV8kofnlHRMp/8vXW53Pj8hapOVe0Xg6Nd6eAnNqFRqRzSBaONn87HkepPFkpfKGlgGEwyuLZiAQCkCQnC931ruoweo5+sVlrNsU9edYwsE4JoyTb9CQb4eHkTkDYr4g4sQMDS/kDB2kDvVVCdlGn73qZ8HvSZu1dyhJzVrYrEtPSdtwfrC3vw+QAAIABJREFUTlx3enzntzwk5SzoHbQSXYI24q2ol3AorjhcAQBtlJQWZXLZnLf4+DOR0kej+uDNkJ+kZertiKnNUW3LLQEA2rv83Be4cxF4/gdp7SxkMAZqHL31NKWErt2nsu3rR89URKeq+VF+3GpD23S1rT4dvAoApgbPxjPBcpzm4VEv4YcYOTqHWwAwoiIwXTEVazAcaCIzUyxaAEBJ054LjpJitX9bg1vngYz5gOBQxE7IgcDYSMyPbo41hYdJ581d0Y6n1m1bPg9mdnN0EtX2o35DrwX9hmFFLgAd5wBZi7obCjQlMJKSL+xbE88ryb20TL3aoR4AEPwzOVizJ3LZEj/5BADERAPXjwO5ygGBzknmOJ//NkxHuk3jpal9Ed0W/d5baFs3/UhoFtA2cCcGFTiDEk8NBQICgS8U7VBQKFB3ELB5iiGt4gJDEBAra6JqP/4UV5DNIcHX/2Jz4Nvqv0tJzN74fgfWhQ5DgUDZ6fK76GZ4MdjZKfFIbGGUD3QOJbwkuhFyBNzBLzH1cSFPS/zavy5uTnoCuWOu2ub2OC4EpSPmSf/dI2g13gmR/82imhCpTJoKACSBhM1czl6XdwDzOahJ3YyEL8YAYBneCl6MV4P/MD1fDSKm41JcLrcAwO0BNamwckwztA7agwGRr+PTSXIUM2156rOtNmdZj8yL9n4jM6I0S4qpg0EuAABB3/F/7kmmlNpcB1YBAMe4ePM/FPo0r33qZgBgchtg1dvAfzeADrOAYAOzn0u7pLCyqPkqkD6H1KcZAKjy7lrc+i9SEtqdv/GfbfzSAZewSolcdSo2P1pGOn4XRkDkle/2gWa/LFuGN5Y0OkbFKMzuzOerSBnrsWEysOl9x2aKtkl/LksEXMZaTXhdnnsKJWkOpYZVZUdj25WRco2YFTpvn9OsXa33VOA2fBI6U/7PMTdQeJQcqpWF4NpB2NI3HCBobDgcyCYDc6lo+A9qGY/dSYNyNSShA5O5HDOdlPjBgQICACTugXAAAMGIxtDgH9GhQTUcyPOsZL85uHlJ0ygPlMKRQaaN5Jl/H6BYjvR2SQ8f9v/+BTLmsUnpJgZ/jW7B9mgmIypskUIf3n8cJZkUFcqWVgoPtvHUvzaTDAKEuS9UAFYOAzIVBBoqkgELAICk3Tyssc2hygqpqV5/Y/FBqao+IRL/1jJwN+aEzpC7qvEy0GaK42Uw/i4eR8Xg0q2HKBl4RWaS0zlGiKBk6MrdxyjwiWNscBUAqBdiRFwIagQuxK6RTU1tqrVxtUe0Lo3o2DjJuXZU2yekvfhwVF8MDflRmu6n0R0czAz2j2kOPhQsdJo0M2eyPQrXTwCzFBv3Cl1lJhQA1/PMnB2StO/cv/bHRqU325NZuflfJF5tWEwCQWXHrjI1OWI7fTbIvT3Po/PsHZgU/CWeD5Yd5EZG9cHCGNme1y0A6J8d+KaFPKX81YG+64DYWOD8Ruy8kwldf5QfuBqFsxpGmLLR4MQfwJIXgIJ1gN4rHfb+hfxr8H2vqsDPfWS782bvAPu+Bcp1kh0ANYUmAAyRqEaTMAPPahMyHQ6MXr6qwEvuk6kxBwFNV/Rl6Wt10V5JBKaXcLKuUQhHfR8+AQBLXwcOfAdkKQK8vgcIMogpv/1TYM1oafhdsaVR852dMn2V8vedR8j1WVEERztK+J0W7eYP9SI+xuW4HHi3fhq8uOdpqfal2BwoOOGM9E1dnloHlQPP2HpZHN0IXYOdQwZaGbdt1mVYPrA+8Gk14KajDw/P9T9x2TA31JE54/z+jcuEUxPbSXTiNzXul30oGXAZf4TJ9FHLsxFj0LLN0zhyaA/O/X1NEiRoGa2/YvPh25hWmBzyteN0x99F/5FjMCvUMeqPfk10dD4blw+Hx7dAxnDruROs0Eaqo2WwNEyz2r79Z1ttGbuZ1bpyQTnkqtui6ffXmLoYHGWPN69vayaV9wQAGK6F0vDAEBQetdo25IWXMwDznpT/u/m7QF3HsKtO/Simbdow0FoNwLl/H2D54SvoXC2/QwjhcgHnsEw5K8diC6Ft5GSHZRut+frte/hk7gKEFqqOsR2rmZKYmkrax/Md6FglP67deyxHZ7p3BZhm4LxvAgD04XUJACh4+KpHNQeN35h2ZQyTYHKCtYtmw4ddKqKuQUSfbWEDkC9ASdg48AAKTzlh34f32zqaeKlBSzIXAgZpgolozyc5/og8KPe+5IshAIDbj9BeQQAAD4jlh6oOAMBB4vTKNiC3cWZSFzcAEBMlSUbxbRvg4nag208o/LVsM6iXNo2rvA3vtHceQ2vjSan2F0U2AesVW9uXNwN5Kjo8EGaJQiQH4JalbJks9fMm4Lh40840TGhfVvL4f3XBfqkqbbqpeWBCI7W0CtqL2SFyZA6UaAF0+9H4sVKdzdJmB4YcN5bo6C6R71oewpilxxzodHf4DdNEO5zCjrM38dyXO6XpGNnCThn1EoaH/GCbP5mIe3FpsDTTR8hXuDRKHqLdcYBrAEDp1NUjwOO7wLx2cl/pcgLD7IwLL38WrfREHdToUSk9ZiUeR8kZQY2KPhnMnp7npVj0E4K/RfdgGbSMjeqB+TFybG2OIWd6/VvSntyLS4dVsTWk3+gIuaJ9IDC3jTwUNTVdF8rajLPrERsYgpIPv5bsYZ/Odw/Fr63AopimEjPotAbtno27A7yT2Vbniyb70S/dVuAPo8db1mhpy6qjV/DK9/JZk855d/PHlUwHw6KeDO8ld0Ep9zhnTYV+DCbjm2/gBEpJF0E3gcjCl2pJGipt0QIANYmTvm+vAEBsjOyMm1GRimrp2WIiUEdnknHzLHB8KbD+HfvwpdoAz8k+AYi4D5xZB/xo9xcxOk9W/tYwYhouxuXGgf5FkOUbjUlUrf5ApW7AbNlsRi0/x9RHpyBZU+ppaZ1lmRQpCbNqyxoQC4WmPZNCvpL8hhCWETfSFEH07UvIHWB8Du5UeR3pD8xBcFwUaC63wiBkqdOwabICj9yHWG4R8QECEYdfW0UgTc1eQHgm4OEtgCYR+ohPvBsOLgDYd+k2wM7ZQPRjoO4bjnUJyFcysVocsOcr+9SGnbULUf79C4iNRoefbuOgkrGbSe3ouC6V6Ehg+8cAtXRNRsvn7PjvwJYPZUD+nT0KWoIAgCuHgTn17Wt5fR8wp4GkvSty8S3EQdZ6XWhx0K6l4lmjFkBfdO8F/TW0AKBfg6JSpmN90X6nWsf1g7HF0CFSNvOiwGV6yCw0rFMXaK2T1K8aAeycBTzxFPDsdxZOqq6KAciVapgAgDIBFxzOKt/3NuVzSz4AWoGGq4Ad6puz+thVjF2yDb9mnIZ9d9NjQNQA/BY6Ro7KxNJzOQrP5t3M9ytAekeYF2bSihMYXS0WTTbKggB1vvZ/O0adOnY9BuU+l4RfAgB4cEIEAPCAWH6o6gAAZodMR6sg2RYaz8wDynaAFOYk8gEQZhIdg79f2Apkyg9Qmnf9GNB7DTCzutxPYDAKP5wv/VMPAN6rtgOj25VxWhaZOFUKL9lGYypwarlcr8t3QJmn3AKAt1uXlsLsUbJt5hBl5PCjTQpFtT9NM1SnYDodvl36OjL9oETSyVcNeGm9IwAgU8gH8MumwN9yZBn0WQsUkJlRh2IBAEhRI9RQMyahFGmCExYcaJhoacboXjabZY79MGdVPHgciZz3lLCcSnIwlxqAXoHAoq6Ocw/LBAw/KztWKrGtWcEqU0g7y8hocwCQFzcckg+pAGBs8Hz0DpYdYjcWHoyeJ6vbbF+pSdq7ZjEa75eZSDpjZi9WGZOfroCCd/cA85+S10AAecUx/CIdAtfFVLGphikhbREp219LZ1f1P9Hu2ahrwER7huaoMbcRsvE9YMtHBnvtDAC0ofOaPZETX/VQvhm2JuP79z5ZexAYhHnbL2Duuv3YEKsAAJq2DNgHbJ0OlH8GKFTHeUxAihKzaPcl6TeqxC/eeghqivrWd20+ZJTFVT8AGbDfD/7joGFwa8u86Hn5W+78jbw2LT1D0gKjrtiH0ThsGi7Ox39sEvEhzsXlxbEBRZDuS0efCKOhVsdUQ8sg5Rv3cC79iq6XAd/s+sBV62GKPRzGVn1pvqFo//eH3jZ3akdAsSx0FAID4oCyHYEKXYDFzwOl2zkziWTAf3hR7qPDbOC3V+R/d5kPlNHkJdHW047I893pK1mSPKOcBAAOdliPDouvgX7rxye0QviFDUBIOLBuPHBZecMIkjt+KWvkDMovMfUwJKq/KU2czvK5jUB0BAp/Yw+r6/K8XzsGfK77Lqm543cNYGjUyzgcWxSPEYrNYfbcFKj8IvDUpwCFSFcPAYXqAaHp5LVry/i7mLPpLCavlH0ADAHAiT8wd8F8zIjuJEW4erPUDQy4KAso9saWROdI2bRufshkNAiS3wS0nSbfKeFKdmU32hi3h0oPXNQGY29L+Ve+vtjc1gWZ/Rrhl/AD7An2+DfVdJTCOAbfYBnV5gkJBC4/ckWKlKQ6J/M37b7Erh6NwB2fSm0GhL2HdzItQ9brstAMzy3GR/N/spnJSiCx3iDg/Ba7sEudHd/i2xeAjys6LVkAALenwLCCAADe0c1XrRwAwKyQGWijOKSh8WjZ3Oan3rIE5bnFcjQNMhy8wJ78RDZvWdgV+MvuNCNNjPa8147a5rih62kMXnIAB+Mco1x8UGsX3mpVGji4UP5f83ckyciPR+9jmBS7P0BOtBH3IXBCTmZlxDgYaQCshCczcvjRRoSh41GXagUwaIlsEsQcAa8XumyXItEGe+ABRyaG0qqVbwFHZbt7qZR9GnhmruOe0RlKJ1Fc1GwnRiw75wiURlwGvmouO632Xi2bSFCKGhjk/gwQOGgk1EYNXox8G1tiK7jWAGR8GYg0z7KLXittDCgBABPfZA+4i1NxBaUhjR7J4iNXSOZKZkXvCLa7x3kpbOWI4AV4OVgGg3FNx+Ny2ZeRP0sae5z5PwbJZjcArsRlRZ7GL8vg9MiPAB9wD4r2XBkCgKGngQ812az5QKx/V5Y26otqxkDTuCA59vixFbPxx7YDoF9Jhrwl0O81TVbZz6oDN/4C6gwEWshSuri7lxGg+jEEp5HtgO/IzD2eniNL1nkmGWGDZk6AFH2JiWtY6JPyVMV8UkIbd8UQAEQ8kNfGvksrDvlrx+HU/k14/nY/KSykWwCgZQb4TWgl91oAcG6THbC5m6yPfj8bmwdtIifj6MDiCPlCcSL2Ud/6bq4OvobcmcKBL5vYGEI/DZXw3epNdrR7Tmb2ouwPhOp9gdZT5LuMmpzdXzpqerQz77kcmKsJAlG9L45XHoccIY+RI/qqo5TdgxXL0ZXelN4afXE4y/+eAmbKQpynI96xZbF3ed41d5GtbwL3GPPwx1K9qj0BCpd+d+OgPP4uGGqUiauiY+Kw9a3GDvHqJcGRcv//EVMLY6N64kCvLMCiZ+X7J7QC2t6T7xwnX5ACtYA+iomSGQCgKVNwuLPGR0tIvlUTTBLAjb6OexExyDjVbgp7uO9FlMM5BH5lz7z8ZZMD6Fu/iHTHv7fsOL5SAMDINqXxfM1CoCClTrHsDrlLHPZl0XPAqRXyrFq8B/y1GrjgQnPX8StbpCiHM8Fz/X0nWeOoKwIAePDRaaoKAOAd3XzVygYAMuTII4W3axe0y943D7z249czPE9/Afzaz81cAoDR1xC38i0EKIyZ2mBa3T0YUj838H4Bpz5OxBaQ1JMdaxTH5NjpwFE5kg1UMwEXPgB6k4Xvt59F0IYJqFn+CTTZbrfFZmKxeqO+x1XwgpLVfysOnMPgJYcQgVC0Kpsbn2VdguOHduH1qIFY2LMS8n+rc9Qce8vxgnviSYB24vrCBDC0c757Gfj3hKHJwolC3dD6VBvHBDwN3wI2fSD31ulr+bGkpqX+m0Cl5+XkRsWbA2EGSafoUDZV47hksFOTo57DnJgnNQAgDs0D90nM89E4WUp8IV0vIEY24zItQ05K/h57z15Fwfk1kTPgDrpEjMEtZMC6eqflR01jUqaPoU/zs85Bm/B21EvIHPAAC0IdbVNVADAseLEts7FEg/pDHSL6YMVwYLfsmxDfogIAKXLGpI7A/avAdI3G6rXdNqZAGovfy58TjR1OycD8vR/YMAloNw3IW9nuT6FO9I3DQJZCsiOgdt+Gn5fBNrUCn5o7CjutN2tRjMr+MRYclsGbKkWzQhdDALBsCLBXsRkf/a9sEvZhcVt3h5stRIV6Gibt0R3g4U1z5zmjiaTNJpkN4ks7A2Blvr6q82N0A5uTua/6NOxH1RR+3RL4nyKN9OuACdh5/13yfUSGnqBu4yT74DTfUpmxYk0BSskfKE7QWYsBt4zzyzjNnkIV3rU044sz1yRaWfWMwrMw46TdlE9t48BEbp0BrLPnfJBDuqbDBUa40TuvXz8p+79R6LDf7sRtZS5SnYAgIM44KaNDH/Qr6r0at6JCEHv/KrKf/kk208lSGLh5BshcEJhkZ65jAkIQFOcYevlCaEkce5TZFonK7RwHHgQi7snmXmSsizUBKjwjv2d8h3i3cVy1UEPMELxGZeQ/snZ7MnNyKIV3qCZXg/RX/o0mYds+waP7t3AzOgwtIqZgYKuKeKVRcdkC4bdXcSh3J6w/+wAtKxVD2bav2vtUtY7qX7KXlIUrnpbuS4HF3WSLCF0RAMBTYsr1BQDwjm6+aiUBgBp9xmFXfjnetEPRM7evbndWaVqZSZsPgRXOMaWXlp+J9kfMnbDoDFegfEO8erK74yhU02ku4x0vnMXibz7CDWTCttjydikk4w1Pc7SJfBSYFu9GPIc0wQEYEyDbmf4U0wBDo17BhfH18HhaJckZluYAr5V+iJcvyBkJY6v0ROCdC85SZK1K2xUtqNals6ObIjkdKlFGnKqa0BGU1tCe9vwmgICBIIMPEMv3xom/tH2T0VVNgLSxx+WESfmdpUNGa+C4jUfKYd4UzQajTOQP+BfpAggeAoDx9oRDhd9e5vD5qxKou3FpZRtnXTlXayJmb7kgOW+peQ1sVShVfPEXgFJjOui6AyvuNkH5vWmGpQi6cRIr0oxDcPZiQKHajrbJ+n4GH5N9XxglyV0xOg8v/io/qNSwUTKslmp9gDoDZCfBu/9z17PD7+uzdEGfK7LdMx3c25fJIkvxY6OBhm87gie1ZWwsOs/ZaQuHyqRhNIdzEAa8fUlmAj6p5DgfVfpLW+xPKgP3LsumHvQNKt7UnBnwaFUppPJLG4C1Y11LI1PIUpPyMiLbf4kaS2IlExmGiIxFAJoEHsA3hdYCpdoCjSiEmQpseM+2DJrPME+EVGhmRPBC00Iyx1OKyH/3BNB4SyAKVp78GJjfATgnB0eQfNNO2yPbeNu11+2oqS5YC6AAgIz7nybhZHv8YXd8Vgfj/aEVNLiYRGRwBoQ2HysHCNEXBkigdmLHTODMejvI9HpRAEIpZAsw1IYLAOAdYQUA8I5uvmolAYD5L1fEi7mdI4WA5ieT8/tqLI/7odryySAL0rFCdYGLclIiOrlundQD2MwL2zl8nNkkHsSFI33AY/M55q8BXJbjdae0ogUAi0LeQ+0gu1PiD9EN0SXYnrDG5dqbjgUi/7PZwF+IzYXCgXL2VamozOHFHbj+TVdsiS2HNxUbXCcVtKdEbvUBsOotT1u5rP9gxE2kn5zNXidbCaeILT4dkGeMNtGMGvXry/auCfAYw95LW/EOERNwOK4o1g9tgiKHZ9g1FAQbhevJoI1MBG1+rx2XTC0ux2ZDm7vDpMQ8knN5yBVglibEKW2Uc1cAvrBnSJUm3GSMbNrB75E24dpSpKEMUkURFEhiFIgMTo8ej9/E3KCJCAuw2/hL06RZ3S3FadTdvDVvkbuqPvt90BFghmOUMZ/17W1Hg48Dv/Szm3tZ7UfjI2G1SYLWy/GErMHXFQEAvNsFAQC8o5uvWkkA4MDgAqiU0dlJ0chZ0lcD+6ufhwhH2kw5PJaUup0PmbCUpqpXFv1MxFiUzxKJivc3o33Qdrek8LoC/Ur+tws4I0fxYXk/qitmxzzpaPbkzQBM+MQkX74qoRmAty+a26/6ahwr/VClT+ez+Bat+YW+LzWk7aqRwE4lRjYvh/R1UG7IMmD5EGCfzo8lvvMR7QUFBAXiTwFPAEr8R7PYA1k7cx8vi50km2oCAHi3VQIAeEc3X7WSAMDRV9OhbE73joG+GlT0IyigpUCJx/NxOlxn5iVIlPAUGHkFmFociNLlcqBE/5+D9qhWCT8zMaKggKCAoECSpYAAAN5tjQAA3tHNV60EAPAVJUU/XlOAITdLBv7tdXvRUFAgyVKAcfHpCCmKoICgQIqlgAAA3m2tAADe0c1XrQQA8BUlU1M/wpY7ae925ReAA98n7Tkmxuwy5AHua/IMJMQcGBef4VnV2PQJMaYYQ1BAUCBBKSAAgHfkFgDAc7rRFZ3hCBhUn/ErafjM1H2LPe8KAgB4QbREa8Jsmwy9mNiF4fc4l5TAZFoNuectzYedA6a6TrrlbddSuwpdgcO6T7/V+0CtVx2j9sRrED81NnKqLtIAOL/ZPwMWqCn7oCRkod8FNQAM1ytKwlGg0QhgoxJKmDkzoh8l3NjJeSTmdPm2dXJeQaLMXQAA78guAIDndGN8L2b5YQYPxiFjqI2+ALoBWOhhdwIAeEiwRKnebDxQrrOc0Ioxj+e1s0+D4T+3fZyw02Kkms7fyrGUwzI6xsb3x0wYVu6blvHvmcnsDi5wzNPA8KVMXKdmKrUyyrPfy+FG3ZWWk4Dar3nPiKfP7T58nVGkrviO625dVn5ngjzGzL5ujyjl0Oz5H+RcCNpEaqzgLwDADOIErKeV5EZW1uCLOtVfkrNOp9AIYpZJxBwotw0izVnuQKnI0I7RLqK1qf1pGdmCtVMeAKs7CNg2w1Pqua/P75bhe0XxiAICAHhELltlAQA8o1sbAEyDSqZ/kaYpQQGZeWbgsJBBxNbSOwBgluzKs7WI2lYp0HWhPfMq2/w+UE4wwzCMTNm+doxzT5kKAneVLLFWx7Far8FwoMkoe+114+UM0f4qDB9K4KPNBOrpWGNu2jLwMqGMjWZMrhaaDljU1VqPNOnoukBOTMcs2a6KOqY2mZ6VUcjkvHlSThzmKo/Dm38BGXLJmS0Xqlm2A4A3T8l/93RcK3OzWodzWD3SnsBP305NhLX3W2CZnGtDKiVbO2YWZybk7Z9YHdW8Hsf7uY/5fOI/gnEPjEfOxH1mQMhf4yZkv7q8LIZDM2nk6hFyYjhXhZmBVw43rkHTNmq39KGpKYRg/H21NB4FlOtkT5pXbwiwdZpjn8ytoSa1s0qrjPmAey58lRiTv2Qr63eJ1XH19XosA4rU98/3ze/ETfZ4b6edktsJAODd7goA4BndvgRATiULAG2w4ucU6X9dAJ7EcfQcAPBBO7HM+UL1bB3e1w4ItJ75kTF7a/cHfh/g/XhJoeVzS4BSrewziXgAnFopx3BncjGjfAcVnwOe+gx4VxPHPj5rYZIbhtp8cF1mgMk0q2XP13KYSLPSbyPwRSP51/zVAWZUnJTX+mwIAC7tdK0FCMsERLgwj1JzEHBUpqf/YyAQGAy0nQ6c/RNY0Emej1kcatal1I0ag+BQua4Rg03tyPGlAAHY4CNyvc9qADdOAZQG0xb8ykHjtTO7KfcsKAQIDpNprZeQsyXNr578BCgrJ/iSSuRDgInvgoLlTKAskws4MkbaUbOXkudkVPRaJWqfjv5kfb9Yc9hZORPqKioqdaXeYIBaLZbYWODE78CPPeSsscyYrc127CtJJ/efGomTTECXQIUmR33W+IdRS6AluB2mxXtA7dfl7/PcRjkHxD/7NYBU6YFMK799Cit2fyH/kVm8eYcR4AWFyWZrrLPrc2D9BOeh1W9Y/929vAUISQNkKw48vgPQ8ZqFmlFqKVtPdciIi1e2yVnJrQJk9ttfyUfzQ3d7JmPtDDt/I4MOlh96AMd/Ayo+DxzSKOUDQ4COc4wFBzQV4ziuwC6zb6t3D8chsLSQXNLtHmorkMbM4GyQuNOjfrSVKWRhJvMt01Js0jsBALw7HQIAeEY3GpIyXmcNXTOJkQfA7EHK7WqpY/cAoPkEoGAd4OtmQLqcALOd/ncdmM6mBoVp4PnwF20kP7bMaurOAc6qHTYzitJs4Mde1kISMi16o7etZy+mregzc4FFz7onnrex2Wn6YJPWuhhGzTsQnhkYctyR4dY2u3nWzjAxI+7FrfbHtekY64+cqxVzz9Nmkx9Zo3JoCfBrP/Me1EeF0j9qDwIDPZuXFQ3AoKPAjHLGc+DDO/aG+fzObgC+U5hpLQ21LcbeluetLRvft9sZ8+9Ve8kSykOLZCCRp4Jc+78bMoNUvBlAAPteDue5qBk99b9c2Ab81Et2JFWLFsy42jeansxp4FyDjBe/i1m1gJtnAOY8kEocQEamZEtgejl7Lo3h54H98+UEb/ym2IamTWZmU/xGmeWW2YZXvgWkzymPd/UIcHkvUOFZ5wzEBC9xcUCmfHbGJn0ugAIHs7uG4/xzwP23Solww+HA6XV2oMdW2UvKDKIvit7MhA7HPZcD2YqZn3UmTdNmSeWdSSZaW0hvAiR9KdNBZkRjIn0xeyB3eXl/9EW/rhr97Aw86751EUiT2bkdw8aSiT+7Xv5twH6ZFkwUuGs2QOFMaSq0TYqWOeday3WUk+Sx6Bl3laF3RYk1o4HtnwLUKLVQMtNq+0mTFXh0y7gH7bfJ7Ndqpl/WJmjnHnF+aqGAgXk7yPR+oIBx/sbkWBlyy++RPmcJv2m2+bii4xz4DvD7oeaxou5dYrZt/V0y9IycSHAmhQ5enG3Og98hE/ktG2ytD1XoYUQ9mopqabNvnix8YeG9E3nffNf0SdWe/xFY+Iz18162o0xnM+1bpW7AtWOOApn6b9oSWToM1G46cP2EfPa19wYFT0FTWEpuAAAgAElEQVQhOBZYBuWGScIFPkLHrE8yddcUAMCz/ecXzZSEGnGw1EEeAP8AGEm5n0mXOQHoOY9ilCM45QEgYs9eQr6sC9WRu7txWmYCeamx8LI6uVy2AeeFs2sOwItSK5VUJ6KarNDWmozBkm6y9LXjF/L/U/pz5wJweR/wC90ZNKVWf1miSelI8abyDw/+BT4sLv87XzUgJsLx8cpcSJYCsf8cpYBfX5GZMhatjXH5LsCRH+yDUfrKy4pMU9Qj4MVfgaO/AJvel9euqq+5Tkq+qAkp2hAgA0kGrUANea6UPB1cJI9FehEE8RIaelq+zE/8ARxYID+6bFdngMwYUqr+aTU56yttMWnrSgBAcw5XhZcYmVzSiLRlpJPuv8uZXY//bmfUaFNOKdu6cUDeKgDtZGlbzwyzTMtOM54z64Amo4E/7WnvbRl8zeYQHSE/ao/vAZQer9GYB3F/XlKYAG37/d8Bv79u3CNpyLTr147K4LP3SuD+VeCjUnJ9Sr9JG9VUQDWR4pncMNnRKZZ0eeFneZ/MCjUqk/PJv5ImMVHAvm+BY7/ax6vaw7k1pdecI/f7zkWA4E79PlztF5ng+e2BPJXkc0HGg1JMFTAYtf1jkDwnZjyu9Yrr86D9lQBirsJovXFI/t5oyhAQAJCBkM5YRuf+yARQipkxP1CALkeKtF4Lgni2aEbBc7fnK1nr0W+DrKGgFsPbwnvn5Ar57iEgUO+aHTNlIFGlu3w38XshLQnEMhcEyOg/uAqQ+aaJFqNV5ShpnwXXdHqN/JDTzKp6HxnMkDnkuVdL0cZy/6rdPhkR+n0QAHEuZPi0gDdTAYDZWPld08yIUnD6YZDGLLwLftPuWQDQdx2Qv5rs8Mx94F1B6S6d/Dk3AiLuE0HZkZ+Apf3t8+up0Ib3hFaTRobnyRnArDrAvctA10Uy0/1VM3NNEO+X1/cC6XMAF3fIZ4H7SfBIgEWa3Tor05cmaQVryU6iFOrw3h59zb5O/X5H3AeWDQFylgbIWHlS1Dube0lzOG2RwOg02aeAQLvPOmdwrh9LWsc5gL4I6hn+vK78/fI+rz0AODBfzvrL/vnusD5BUfvP5DOtlneyyFpoAlm+MWaFY1LzyfuVYFB9S2Oi5e+O54kS/7bTAPV+4TfFvSewpaaQdxd9v8zKnf/ZBR/cR77bLBQM8e3ie3x6LbB7DnD7ovxtdP4aeHQHyJhXztbLO4Fgvd4goJIuezfBDN8v3lc5y8jaX2rqeD5yPiG//Sw3zijv5n+yoKNEC/n8UKOjfgdGa2AW8s1TZaChMupsX6o1UKWHrN0m6Gr7kXynRD2W5xKWAXhukfw33tcE0vTxocN9w7flc1+iORCSTv62uX8bJ8nfG99Bac/7yyDk2C/yN1axq0KvdcD68bKGKldZgOAwnU6TvvlDmR9o/q6kdT127BjKlZMEUAIAePCdCwDgAbEUp9+zAPRu+ioAGKFEBDLqlTr3cUY/HF2/BGVrNJIfH34oZFJ9WWie8NcqgA+pO2aWH3hIuGzSEBgkm0JYKTSXoCkHVal6hoaMGrUWlL7wQuPlRTDCB5ePL1N7055evah4cfNCVJkY/jcvfD64dy/LF5+7wkue5hieFoIbAhpXl76nffIxICigCY96Yat98PLkpck957/vXJIvTzLFvFDJOFtZL+nK/5Gm/90Eds6S6U1TpDAGrtIV7gm1FTRF4ZhZCsmPFh8BSvxIf54ZSr7Uy/evNTKjXa23fDY4Hv9fX/hoc+5kxChFNmJw9W04B0rq81Wx/8KHh0wAmQxXj5in+8H6XD/7JLAho6RlVI364xnkPlkBGNr2bEegTgBbqLY3M3XfhmP8b7fMfHg6P/e9J1wNMv0IkLUTvBdUJtjoO2ZdlRHKWsTOIKr3l37W7I/fBveajINqpmV1dbzbKDSghonMuloIuinEIGPHu49nincP/1/9NniXUnvHO4zrI7MUFCoz5XEx5po9V3Mjk5o2u6NJitW1WKnHdRFQUStCEGhUKHggwNdr5qz0zzr83i9ulxlW7rnVwnvq3AaAAiR3dwv3nd+t2btndl6szoX1rp8EYqNkgZK/Cs87NeTe0trdvEgH3vcEmHw3vC18t4zeG/bHM8X9Jtj2ZL8tzEUAAAtEMqgiAIBndIuPCZC5BuDoUZQta2LS49n8RG1BAUEBQQFBAUEBQQFBgVRDAQEAvNtqAQA8oxv1jXT41TsB0zGYNi7eOQELAODZLojaggKCAoICggKCAoICggI0+hcmQF6dAwEAPCMbTX9WKJGAlmiarmRKIK/DgAoA4NkuiNqCAoICggKCAoICggKCAgIAeH0GBADwnHSM+V+N8RcAnFE0Ai8BYGaiBR52J0cBEgDAQ7KJ6oICggKCAoICggKCAoICQgPg7RkQAMBzytGjciIAZv5hSB6GSGDkn8WedyUlDxMAwAvCiSaCAoICggKCAoICggKCAsIEyLszIACAd3TzVSsBAHxFSdGPoICggKCAoICggKBAqqOAAADebbkAAN7RzVetBADwFSVFP4ICggKCAoICggKCAqmOAgIAeLflAgB4RzdftRIAwFeUFP0ICggKCAoICggKCAqkOgoIAODdlgsA4B3dfNVKAABfUVL0IyggKCAoICggKCAokOooIACAd1suAIB3dPNVKwEAfEVJ0Y+ggKCAoICggKCAoECqo4AAAN5tuQAA3tHNV60EAPAVJUU/ggKCAoICggKCAoICqY4CAgB4t+UCAHhHN1+1EgDAV5QU/QgKCAoICggKCAoICqQ6CggA4N2WCwDgHd181UoAAF9RUvQjKCAoICggKCAoICiQ6iggAIB3Wy4AgHd081UrAQB8RUnRj6CAoICggKCAoICgQKqjgAAA3m25AADe0c1XrQQA8BUlRT+CAoICggKCAoICggKpjgICAHi35QIAeEc3X7USAMBXlBT9CAoICggKCAoICggKpDoKCADg3ZYLAOAd3XzVSgAAX1FS9CMoICggKCAoICggKJDqKCAAgHdbLgCAd3TzVSsBAHxFSdGPoICggKCAoICggKBAqqOAAADebbkAAN7RzVetKgPY/9tvv6F48eK+6lP0IyggKCAoICggKCAoICiQKihw5swZdOjQgWutAuBAqli0DxYpAIAPiBiPLl4EMD8e7UVTQQFBAUEBQQFBAUEBQQFBAaA9gN8FIaxRQAAAa3TyV62aAHYC6AzgpL8GEf0maQoUA7AU8sV1NknPVEzOXxQQZ8BflE1e/YpzkLz2yx+zFWfAO6qGAigAYBOAu951kfpaCQCQuHsu+QAAKAfgWOJORYyeSBQQZyCRCJ+EhhVnIAltRiJORZyDRCR+EhlanIEkshGpYRoCACTuLouPPXHpnxRGF2cgKexC4s5BnIHEpX9SGV2cg6SyE4k3D3EGEo/2qW5kAQASd8vFx5649E8Ko4szkBR2IXHnIM5A4tI/qYwuzkFS2YnEm4c4A4lH+1Q3sgAAibvl4mNPXPonhdHFGUgKu5C4cxBnIHHpn1RGF+cgqexE4s1DnIHEo32qG1kAgMTd8pwA+gOYBeB64k5FjJ5IFBBnIJEIn4SGFWcgCW1GIk5FnINEJH4SGVqcgSSyEalhGgIApIZdFmsUFBAUEBQQFBAUEBQQFBAUEBRQKCAAgDgKggKCAoICggKCAoICggKCAoICqYgCAgCkos0WSxUUEBQQFBAUEBQQFBAUEBQQFBAAQJwBQQFBAUEBQQFBAUEBQQFBAUGBVESB1AIAmGn3RwBdASzR7e8hABUAtAKwWvcbM7Myq1wVABMBtAFQCEBaAP8AWKf8/aKuXQiAkQB6AcgD4DyAmQA+NThbnQAMAfAEgEAAfyn1vtPVvaCMre9iDoBXDPplZln2WxlAEAC2/xjAF5q63ZU1sU4JAJcAFE6h5z8pn4FuAIYqZ+ABgDUA3gLwP4O9GADgNQBFlDM4F8AkAFHiDLg9uSnhDMSZrHIEgPd1v/F+7wngVQCMLhID4AyAd5Ts02r1QQAaKHcFv39m02zklprJs0JCn4H3AFRSaJsXwDxlT4yoVxTAhwCaAAgGsEO5B/YbVOZb9jaA0gBuAfgBwGgAvD/0pZ7yHtUGEA7gMoD5AN7VVGwHoIsyT/bJ8VMqf5ASzkAGhfcg/5AdAHmQrwB8pHznZl8nz+MoJfEoE5Bqy0YADQ0aki8ifyRKCqNASv3A9dvED4RRdsj8apnlrABuAHgI4DPlQlXb5lcYsGkA3lQYeH5kJwDcB1BGuXDJtPNxvakZ9EsALwIYA2APgJbKRc4LmsyaWnoD+BrAz8r/83HvoQAVMu/TNXXJwPPiJqOoLdcUgKH9Gx8GApbZAP5QmENe6txvrlMtawHkBnAQQC0ABC4pFQAk1TNAhv4T5fL+CQDPHR/mSOUxvq3ZL17c/I2MHkFCdQC80MlU9NOdC3EGnC/rlHAGeEfwnPCh1xaCdwoltIXfPwEA7xEKK8jUlQfwN4BFmoonAfyn3ANPAjieggFAQp8B0vWwQlve96Q790Rfcih1+L2PBfAYAEFdReU7P6VpQIHB98qdsRBASQAfANgNoIWu4+cBUJhEgMC6BAjFABCMTNDU5TtUH8AB5feqKRgAJPczwO94q7Lv5DEoNCSDPlh53wcanC/+iUB0J4A7Ct9jBAAKAOD50hbW5x0hSgqjQGoBANw2XsKhisRE3canFY3A5woDXFOzv2TgKSXhg7jMZN9bA1gBoA+Ab5Q6BANHFJQ9WdOO4OMFhcGjxIaFHzEZPkp+YpW/cU/4AJMB5OWvFgKAowAoqXFVeHHzIeDjMcVNXYIXdVyukRdCSgUASfEMhAEggNsM4CnNXlFSt10Bi2T6WbJpJHcva+pS00QQwL3juWERZ8D84Ce1e8CTM8BVEQBQm/i6m2+7A4BfATyrMH+uqmvvAd4xFIqkVA1AQt4DHEtLWzLfBG9GAIB3NTUx1MSqGuWMAKiF/lPZR/ZHbS41g3xjKFhSCxn9BYpGd6Xyx3wACBz4jjHctNUzQCERtYwpmT9IqHvAH2eA2h8CSUr/f9FsKq0B+irCSS1gZBWCBgoj+daQryAIMgIARn93c3TEz8mVAin5A9fvCc1fiIwp+bii/Mi/VVMkIcsBZFGk+/yZEhFK48l40QzIqLAtPyrW4yXLQoaNDBlNf65qGqlMHdE1JTEsGwBQ8qP/EHcpv2sBiVUA8K3yWHDejzw4mKkBACS1M0BGfa9iokFprbZQo/SvBrCqUj+eI0px1MJzRskvz52qXRJnwPzgJ+czwFVZBQC8WwjmaSrmSUkNACChzoCe7q4AwGmF2debWpCpozCKYCAaQF1FcPQcgMWaAai9pWCJjKGqDRwHYLxyDvRmqq7ORGoAAMn5DNCUmAAtne6Np7Dyd0X4pzcHpPXBS4q1At96AQA8uRVTaN3UBABUiRglJar6m1IAfgxknKh6pd08Jfos5xRJWA3d3hNJ87KlSQ0/RDLwZORU20v23RQAE3poCz9W1qFWgFJblo6KbwJVvtQQ8HGndIgfLy94+i2ohQCAJkvcM9px8sEgSJmhs/mjxIgqO6r9qR4srgAeqow5DjULRiU1AICkdgZUUEjTADLt2kKmPpdyydMcgOeGZj3pFXMNbV0CBZpz8WyziDNgfmEn5zPAVfGO4F2VRpEuk2Enw6Y9P7yjeNfwLqOW8Q1F00gmkEkHaT5k5kuQGgBAQp0B/Sk0AwDcS5oK0f5/uK4RGT3ubynF1IPaPwoLqGlWNX5qEwqj6AtUR/nDesXsg/cCTYQoaCJIoNSY49wz+UxSAwBIzmeAoJBWB+QDCArVQvMv2uuTB1HfAv5Gc2X6kZDf4J1AW38zAEChIwWHBJy8LwgyKdD0RJhofvuKX5IUBVITAKB0n6ptOsrwEqWEnIwTzXj40VDqTvXYMAC0g6NNLdWydMZUC+3lVe0B/8Y2/Ki0tre0zS6oMzVS20cAoNOm1oSDoIM23JmUSvzQiNSpztUWqv0pLSZzx7U8o9jqkbGnhEgtZBbJ5PNiIADgI0FAQuaRDtB6+z61XWoAAEntDBDQ8QySeaPqVi200aWzJouqsSJApNM2L319obqXAFE1CRBnwPyaTc5ngKvivUBtJc1AKGQgI8A7jI80v3cW9Z4ig8f/UTtE/yHeGfSBosBDNS3TUyo1AICEOgN62poBAH7j9MswcuSmIIgaYzL1dAqm8Ij+XXoNM8fiO0atD8ECC+22GbSCoIACBLan3xCdwMkQ0ubfCAimBgCQnM8AAT0Ff9w/Any10KeDdwB5EPUtoAkazUkp0FRBgRkA4B3Cc8hzQ1DKe4X3Bds31pgLm9+u4pdkRYHUBAC4Mbz0KInnBUnGnQwxLwJezGT2GX2BZj1ktMiU8wNYpdlRStboSEO7XUbtoRSFFyjtZVVgwI+PAIK/6wsBAJk91RGZ6l5K+fk/OmmRaactOKN2UI2rlwrr+6MGgrbAjFJE5y0WMv/UUOhVxNQIqDamKnOp7S81AICkeAZoOkabTjoD8xzQJ4TMPs8h7X3JzNFPgH8j0OPFrC8EAIw0pZoPiDPg+hpOaveA1TNgtio6+nPvyUgSUKoMJevrTcboF8C61FwaRYxJDQAgoe4B/X65AwAU0lBSry0qAFD3UQUA6r2grUsAQIaf2mkWOofSp0APLFQGsrniHK6fZ2oAAMn5DFB6zzuf7wIjDfLf5FXoy0hBInkW/jcLg4Zw/8mPMBAKixkAMLpfGACFminyS7w7RElBFEhtAICqb0bXoXMUPwpKQxj9hqWtYj9HqSzRNR12VXBgtuVk1sh4Ua3OS5XFqgkQaU+0TcadY2sLwQcdfGgCQtWwWaG6jvbgdPDix89CIMLHgevQRpBR1YNmToGpBQAkpTPA/SIgpUqf0hnVYZBRO3j2KMWhyQ+BoWoCxPqMWqUtehMgcQZcX9LJ9QyYrYrfNFX1DFNMB1DVpITRylTNotqWggWaEPDuYLAAfUktACAhzoCetgltAkSJP983rYCIc2LUIDKN1G4bBYpILQAguZ4B7iF5F/IJqqCRPmMUSNIsmP+jRpmWCJTmE1iqPopsy7ee/AG1ShRKujLvIQ9CX0a9NYTrG1b8miwokNoAACPoUFpGMxgCANrDqSY+fChpH0nbQIZlJBOl2lK62kzaydHMRkXcZipaXsS8kFUnYFVNTyctqmS1hVJ9Svdps3nMxeBqn9Qo8FFnoRSIzL4eAJCZpGSAZgCMRKEvqQUAJKUzoN0DMvzUHNGcjKZqvLj5b2qlWNQoH9xz1Umcf1fPkdYJWJwB19dvcj0DZqtSo4Joc5mQwePZ0AMA1YacDARNCvUltQCAhDgDetq6cgKmtJ7mneo7oralcIAaadUJmG/SNoOcNtROU+CjdQLmm0DApwcA1IDzfqG5K6W7+pJaAEByPQPa/aLJF4VC9AmkLyLNddSgJLRMYDAAV4XO0LQMMCsqAKBfInkmUVIQBVIbAOAlSiafnvJk9Cl5V0OmcVv3KRJ9St9d2cmqR4AOtnxoqQGgCQeLGgaUH4tWnate5NQacA40I6KzLtVx+kufdr581KmmV0OGGh07jktzIZolMaEZiyrh00Yb4t/5oRNYMOSoUUSI1AIAktIZMLtKaAa2VDmj/H8WAjpqjOhDwj1XC6U7PKvaMKDiDLi+pJPrGTBbFX0CaM5B0x+CRxaeCd5BjBpDpkAtPE8ElfQfMJL8pRYAkBBnQL9frgAA3woyYnxT1ASATPakhgHle8CihgHlfa99N1QQqDVbVbW+WuEA+2C8eOa30duQq/NNLQAguZ4Bo3uAvBxNSGkqxjPEbzuzwhvo69PCgYIBmg/RN8jIJFhtQ60Czyb5JfUtcn27il+TDQVSGwDgxlDtTftqxr8nU6WNhMBLkZcw6aK1j2SmYNrQU3JOZxq2ZUIdXqRk5ClN0zLVaiIwht5iZAZexHyM9YnAVBUkTT7oj8BMnfzQKKVT1XicM6W/tMHjQ89x+GFTks9LnwwhP2S10P6fZkF0JGXUH2onmim2gDQTUoEK6zM6AP/HQkaSKkM1XjTb6aNMJJuD7WaiSekMEGyScWOCOTr4UmpDczI6q2sZfS5JTQRGcyBtIjCqd7WJwMQZcH9Sk+MZoMSW3yuju/DhVp2Aeb/oNYm822heSMkwHQNZnxlQGWCAdsHaRGK8D9X8H7wDaTrEEJIsvL88CSHpnvJJp0ZCnAFmVqUgh4X3PO9mBnRgYcZlmu+xsA6ZegI43ts0zeCdzCztjESnTcRE81T2Rb8gSvxp508TDfWt0VKYwi6eDzp4cmzuNfeWieEYNlIt9B3gO8ZCx3Jqk/jGsDDAgJG2KOnspPczSa5ngI7gzAVBSwW+24wkR7M+CjXdSf2NfAAIBvm+0M6fPA7fIoJJvis8p+SH1JxB3lNbtExSFEiNAIBolqiWF5p64ambwog8vymOtDTJUG2tqQajqpTomtEX+KjyQSUTRkmbKrFR+yEDxo+JjDnV8LxAKVWhWY+20OabHy4ZfqJ2/jclPmT+ebkzegMLzT54gVO7wOhF/DtNg+gkTDWv/sPk4895EUzw3/RTICjh466tS6ZBfej1B5NmSfw9JZakdAa4R9wDPuLcf+4rgRr31ihCB3NZMDQgGTbaZrIeHwP1rKj7Jc6A65ObHM8AGTbeXTTh4P1EKR+zeFMTqI0Jr66cJmVkDGn+RzMBMpGU/umDC1CIQLMBo8I7jL+nxJIQZ4DMFkGAUWFkFf6uFgpt+M5QQ8M3hiaj3G86resLnYMJEOjwSy0xg0jwzdE7dtMfhPcLhUhqzhBqmHm/E2SoheGnzYJO0NbcKHlZSjgTyfUM8Jsns0/+gkJMMuncU4ICd8UIAJD/oJWAmiSMbw/NinivUFigPSvu+he/JxMKpEYAkEy2RkxTUEBQQFBAUEBQQFBAUEBQQFDA9xQQAMD3NBU9CgoICggKCAoICggKCAoICggKJFkKCACQZLdGTExQQFBAUEBQQFBAUEBQQFBAUMD3FBAAwPc0FT0KCggKCAoICggKCAoICggKCAokWQoIAJBkt0ZMTFBAUEBQQFBAUEBQQFBAUEBQwPcUEADA9zQVPQoKCAoICggKCAoICggKCAoICiRZCggAkGS3RkxMUEBQQFBAUEBQQFBAUEBQQFDA9xQQAMD3NBU9CgoICggKCAoICggKCAoICggKJFkKCACQZLdGTExQQFBAUEBQQFBAUEBQQFBAUMD3FBAAwPc0FT0KCggKCAoICggKCAoICggKCAokWQoIAJBkt0ZMTFBAUCCJUSBOmU9jABuT2NxcTecCgEIAegGYm4zmbTbVwgDOKz8WAcD1WS2NAGxQKov3zyrVRD1BAUGBFEcBcQGmuC0VC0phFBgPYJwHaxLftAfE8rCqAAAeEsxP1QUA8BNhRbeCAoICqYcCgllIPXstVpo8KaAFANcsLCG3hTqiincUOKk06w5gt3ddJEoroQGwk11oABLlCIpBBQUEBZIaBQQASGo7IuYjKOBIAS0AEN+rOB3eUEAAAAEAvDk3oo2ggKBACqaAYChS8OaKpaUICggAkCK2MVEXIQCAAACJegDF4IICggJJjwICACS9PREzEhTQUiA+AOBzAK8AuAugkomzZH8AMwHEAKBz6xZlcL2ddQiAUQCaAcgBgOZIKwC8C+Bvgy3Tm1pUBjAUQEMAuQBsA8A62lIMwCBljAIAAgFcBLAawDQAl0yORmkAQ5T+8gPgvXZDmdefAOYDUM131C5Y700ALQBwrcEAbgK4AmAzgIUA9ujGc+cDEK7QuwuAJwCkUei0SZn/QZP5axl0jvsGgBcAFAcQDWAfgCkAVnn5aVgBANyfAcr+5AEQC+AsgD8AzFDoqR3+EIAKAKYrtDebWlMA6wCQdqSzfg9pssY9b638HgbgHwDcN+75cYOOfekDUA34f3v3EWpLVoUBeIHgwJxQUHDQoIIBQTFrDwRRzBETohgRRXBg1gbFiN2CEbOIijmiCIozMYAoGBADOtCBKKiYw0Q+2Qs2m6o6dc6p2/f2O2tNut97lfa/967z/ytVvDQi7hMRN46I30bE5yPidRHx5+Hen4iIx0fEVyPiwQtzYd5+3tbhIQXjj4iIF0TEXdu6NA8fa1jbg2qCrKlx/+QjHYLpuF+N4eUR8YCIuHlE/KGN2/toar/nva8VEU+JiCe2dw5MvX++HxEfiohPtrUwwmf/PT0inhQRd4yIG0bEX9q6s2+8Az544Pqv0wqBQmACgRIAtSwKgYuNwDECAAFFYu8QEd+OiMsbocwR+6H174jra4Zi455kPSEi3hcR14+Iv0WEH3nXZn9sJMEPfG89oXhsRHw8IogIP+rXjojvDgTmWU2IOIb9u5HQvI/zXOfrw30QFCQVcWT/jYi/R8SNuuNeHRFwTLtz6wSDnDDix/Wdk+/ED0fE04Z7LQmAWzWCDtN8jn80IuPPCDWi+/bhmv6YBB0BR/zv0cYBg+u14937mQeSoF0CAD6v6sbuuREy88SIoodExA+6Zyfm3hwRv4sIYgqGU4b0wVHXJGS4t4e2dZFjNHf/iYjrtoP8v3VBwPW2lQB4ZER8qo3T/NsHOWbC0xruOwzlmjaXug/NCdI3RsRLmgi43Qwuc399ZROm+e9ECHzMB2H6zUbM5wTAoZj2+/X+EfGldt+/tr3u/ow4u/uMCCDsv9jWbz4/8o/Mp7nu49o85995nxBV9nJ/nvnIfe3vi6/suZjq8EJgCYHaULU+CoGLjcAxAsDIkH8kH5F+ffPi+/teHPDG88z3JK4nWX7EESJkTPGr94Yfa6Lg1o0IIb7IQlpPKIgG5IXHPT3xt4mIX7SDETFeVwTwqoh4d0eubtuiDEgDknangXi5Bm/l19r1f9yuiTz4+8e04xHRNB5pnmmi5XlNjCDYyJ92mQ9v0QcEt9v/YBYAAA6iSURBVLc5AYDAwBBxh5VrfrqRnMsi4q0RgZgxnmNkp7ck6H+KCOTb+aIr8EAgte68ZxNfyLZ77GNLAoAo4cU3d9aHeyH1xiRqJPKAEPKMi2qYSyZK8Jt2HO/9VHQiIyCEI+9uPwdIpGgTzN/Togzm0hq0phBo0SkRkHtFxPe6AW8lAOBI1LjPTxvJfnRbf8ShfePe/b4QkYDDKJjz8QhYuCDDRJL1vNYIbUKZiQS9uBFta5lX/W0R8c8WqZgSAMdg2u9X69DcmAP71RzZo+9vToCPRIRC+N4cQ5zcre0rgpLos54JOvvQfhJNEFF6YXcy0eua/4qI57cogXXmPSPaKDrz5OYAWItlHVcIFAI7ECgBUEukELjYCOzTBUh4XfrIaNKApAPxXErh0QcdyX5OS3NA9BD83nqSJTXm9hHx++EYREh43o8/stIT5p5QEA33nvESO/dXEcGD/owFDzfPImKOTCOtDJnIzki3bJ7qNbOJlCCnnklkZK3NCQBpIdJD2INaukJ/Td5T5IhAIFCImN6SoPP4m4sxXQkJ4m1GBJEl6SD72JwAuFmbd1gQdN+YuKhn/05LR0HakLc0pP+BjbRK3RhNGggii7QixL1AtCaQRSlkV8wMxlxLhTH3CGjaVgJAmg68PV9v9khGmqRzEXNp9hcMCCLPMUY+EN3PNPFnTUtFW2N+i38WEYSxe8M111ueL5KSImpKAByDab9fvR9g4H3RmwhVipAbDNFEovUdEfGTJpr6uc5rSGkiqghbKX75PnlXRDw3It7b3klr8KpjCoFC4EgESgAcCWCdXgicMQL7fAdgKm0lHw8pQU6E8KV88LqykeDk8T3Jkg/9yplxIqPIH2+6H/i0nlDw3rv/lMl3/kIj8rzKI+nJc5JYIceEB0NceQrVCrj3mIY0NzUwcC/X/Nwe8zcnAFzjUU1MEBVTxkvOq8/kzv+oOygJOiwR/CmTEy+FhkeeZ3YfmxMASWaRMt7jORO5kZqC8BtHGq/sR2cIvmOM1/G82r1AkIJFOCKCxM1cRMOc8vxL6ZJGkmR7KwEgosWrPWUiOubS3FonadLE5MBfpwlS6We97RJFcxirwcj1O1c34PfaXIqQjALgWEz7/UoMipKN5r7pKOAQEDVJE0khpggBhH7OrHvRQtEODgsm8vSylnbkfVBWCBQCVwMCJQCuBpDrFoXAEQgcmwKUt5bSgHT5EU9DfpCgKetJlnQZBHTKeO1dR6oGUoTUsZ5QLHnnRQ2kSsj3lnowZyIFxsBb6z5pUn8QFkWKohpfaWkdrjdnPI3GTTz4f3nJSLDIwJLNCQDeeR7NJW82733WT4zpMEnQebunagQ8E6KNcC/N2dyzzwkAnm11FTCVXjVnhBaPL8KH+KWZB+lCUnzGrwzz+POSiyCMKULpLUbolzzk0pBEKZjrpcd4KwGg6Fz0acrMJdFrbqWF9aYY1XiRf1GpNMe5HkG6b/Fv7iP7R87/3PpVDyEdaBQAx2La71dzPeXBN5e5v+/b0t6M3fyrVTBuNUF5zBSuN2m1QEQsMctcS4ogPkJAGaPxEeplhUAhcEYIlAA4I2DrsoXARghsJQA8jjz09FgiKlJR5khvT7J02ZGeMGVSXjKnXfeRTMnpCQXiMFckmhGEfeDq31sEDQLPA5qGPCH0Ukc+0EhJf31eXJ7dvijV8xFIBARRMNXpZE4AyF1WrCjVKiMrU+NBlhFZXWfe1B2wq0jXoXLznxoRS1GeOQznrp9e7rXY8/5aF71lkS+BSCimZW3BVJGwiJIOM/uYotssyN1KABBl0q6mLNPmzG0WoudxoiWK2K0ZpD/XSooGe8We2cesiTc0QSU6NWeOcewoAI7FdO0H0qb2gLQl6VT72FiY/6KIeG1XhO1aBKRIBEEgLamsECgENkSgBMCGYNalCoEzQGBLASDVJkPsiA8i88OZZ+5JlkLUuR/4NQJg6T2TrRXH9JJ9oOR5FAVQYKtgkBjIriWiCrzcUxEMnseHtXO0g8yOIzziPLJZkJnPsksAqKkgHuYsBUDv/XTseQkAuf3qEkRO5GAfYgqE1Q7IF7dmFMAyrUvv0opgRXh6yy45fTrXPvc+bwHQj09LTgXBohUEkrz/fYt/XU8KjFQYHZdEzOYssRsFwLGYHiMAiJ1MB1KsThwdYsYtJVFDAulXanzSpBBKI1uKLhxyzzqnEDhZBEoAnOzU18CvIQhsJQB015BewmvJQ5k5vIjvVBRgyxSgpfeMgkq56LyoOtxsYVISEHveUhECUQn/XUoL4g32TQBeSJERnl8YZETDc+1KAXKu7idT5vrSKrLfed8R57wEQApCkQBi6BDr89KRWETU2lIMyuSF+2ZAbxkdMB9SQuT472NbCYBDU4A8qxQyYk+KkOiENqkiUYS1dby2+DfHfWwK0LGYHiMApOZJ/Ulc5uoq9pljx9qH0uK0v2XeE4qQywqBQmADBEoAbABiXaIQOEMEthAAfkh1CEFCeSylkUh3kQoz13mjJ1lLxDZz05eKgJfeMwqE9WJn92vdcraCs+/mQujwSu8yrUOzPanIwWe7E44pAu4jJeYj25W6/HkJAGkX8rCJQmR47AS1C6v89yzi1CJT29lMUxFd6lOz8njdf6xHJp/dGtrHthIAiKUUsSnTtUk0aSwCzmO1tpSjLl9e5EkEhegcC57XjmttEfCvW9rRGAE4FtNjBIAxEnyEn2iQfbel5Vx8uWG85bXrWoXAySJQAuBkp74Gfg1B4FgB0Pf790Pqhx7h64n3SHRB05Ms3kydd0avptQg3l2pM2Nay1pCQZSoR5D3TEQQAUvFuDzG6W1UGLzk1UfgjJkhWEQPD7x0lbHFYS4HKRxyj5nOPrzkaXMCQNpCdjTRvlFhcm/5ESc95ZfagI6FtP01zqIGQM0G7K0RtQ/Sw+ZqNaRZIbvj13E9Y58CgogizYqi51Jh/O4QY+aEB504U8Q9Z/2cj2uzrw1Ys6X7dSkFyTOI9vSmNiRTxrR4TYE6Xl/bS8W332qpVNKA9i3+zWvCRJodAeqrtwqnx45YxFJ+FG0UAMdiuna/zu2B7ChlPNq/ZlvcqTkZ59P7Y64Ww/naohIVYzvYNfNdxxQChcAMAiUAamkUAhcbgWMFQN/vnze2/3qpUL3UA3ny/i3zt0eSpU0jz+OzW3Gt94aCT+crgnSe1n59J5m1hMK99HhHGl0XSVfkqOgvyT2SJz3Hs0qzEJFg7iElQDqNGgKpTYi96yDbxs7b3vdsJ2x4KZ2D9GpLqIMR055T73nXlZYibSjFhn9f+yEwH5bSYUe+smeX5pTdYpY+BHZ1CwBjkmJhzAzmUpjUBhACcCTyPDNvOU//nLde0TUir22n/zqfCJDTPmXqT3R+Qf6sLd+R0DY0xR8hhkwrfBYh6btVbRUBsK4JEfNl7RBq1qJCbiSVIFUjketjHIc137dzPaT4t7+mHPf8xoMPY9kHogxEsg5QUviIFSk3cx8COxTTtft1bg+YR8+UeClyh2O+U3SMMuecDcaSX+E2fk0ErBN7xnc5UmSaA3OjxsJa3FVjc7Hf5PV0hcAFQ6AEwAWbkHqcQmBAYJ8PgTnVl0x5JPP/M4Vlqt+/H2UEiAfXlz8Rrqle63p2++qv3Prsu5+tOP1YK8Dtv9Sa5Dw7d6x5zyAF0pHyukgXgqYlYhbnuq7WjDqejPfwZ4SbCNEzPouA/Vn3I+NjPXn0Z+PN+4goMMLD84zfLpgjP85BWHlupcDkNZBZaVaMMPEhrakc5vNKAcqlJhVI2g4Pdj67egUef1+2TVv6CFl+JCqPhYW0pyWzbqTM3LQdZC6sJxGJvtXr2Pp0KwGA7COdxmgNINq51ghlpJg4WTLrKusnDin+Ha/tq8z5oTvrDR72gGcUlVBgq9ZiDt9DMT1WABiHlq0iYQrD0+w/a9+ezPeAvd2vK18MVvjbn+P/rb80e1E0Zi5yt2Oa6p8LgUJgRGDND3OhVggUAueHwD4fAvOUmYLA+yo9h6dNnnMW0o0jUaTJ44v4uJf2fGwkWcjxK5rn38ebpGzw2PLOZcpMf+21hKI/RxoQjx/iKBUiBQcSJpVHOg4vY3pk5WHzThsz76IuIp6Nl/SXLRWHd7vvJ454uL5zRAkUbOo24pqIONHinKwD6J9vSQA4DoGUC05sSZlCZBURIzhvadGNqZV03gLAM8Eb9iI75h62yBscYQJ762TuQ23IH5yT2BFQvgK8ywgkLTcV0cohRxR1YULAeYOlfUgB6dN0thIAfv9EK3jakXh7RTG6aBSRufRdihxXRlAOLf6dwkfqmevqokTImgMRAZGkq9q/IdqE+ZQdguna/bprD8BULYR0JdGA7OTjfSFaIupmLfVtdkXppDwRAVqKSk2zl5zDsaBmaZ8P9u1ac/XvhUAh0CnyAqMQKAQKgR6BY0hWIVkInAoCvqshwnRo8e++OOW3G65oH57b9/w6vhAoBAqB/yNQEYBaCIVAITCFQAmAWheFwDICl7VIkQLpy7s0s7PCjYdcNImJeKm7KCsECoFC4CAESgAcBFudVAhc8giUALjkp7gGeAQC8tPVDyhOl5fvA1hb2DsbsVfULn1Myo2UHvnvCmulSI1fXd7ivnWNQqAQODEESgCc2ITXcAuBlQiUAFgJVB12Ughc2VroylNXF6N2ROta9RFbmC5Y+e0EdQVZSJ6/1b61QHT0OfRb3LeuUQgUAieGQAmAE5vwGm4hsBKBEgArgarDTgqB/B6DbliKWrVN1VZ2K9MuVhGwFJ9bNI+/Ymwf2lIIq1PW0ncytnqOuk4hUAhc4giUALjEJ7iGVwgUAoVAIVAIFAKFQCFQCPQIlACo9VAIFAKFQCFQCBQChUAhUAicEAIlAE5osmuohUAhUAgUAoVAIVAIFAKFQAmAWgOFQCFQCBQChUAhUAgUAoXACSFQAuCEJruGWggUAoVAIVAIFAKFQCFQCJQAqDVQCBQChUAhUAgUAoVAIVAInBAC/wPplZVzD76xkwAAAABJRU5ErkJggg==\" width=\"639.999974568686\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "me.plot()\n",
    "fd.plot()\n",
    "\n",
    "plt.legend([\"Cell expression\", \"Expression level\"], loc=\"upper center\", prop={'size': 15})\n",
    "plt.xlabel(\"Expression level by genes\", size=15)\n",
    "plt.savefig('levelsgene1.png', dpi=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Построение графика для клеток при Альцгеймере и при диком типе"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.999974568686\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#цифрами 1 и 2 изначально обозначались клетки с Альцгеймером и без него\n",
    "AD = gene_df[gene_df[34017] == 1]\n",
    "WT = gene_df[gene_df[34017] == 2]\n",
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "me2 = AD[\"expression level\"][AD[\"expression level\"] != 0]\n",
    "me1 = WT[\"expression level\"][WT[\"expression level\"] != 0]\n",
    "\n",
    "me2.plot()\n",
    "me1.plot()\n",
    "\n",
    "plt.legend([\"AD\", \"WT\"], prop={'size': 15})\n",
    "plt.xlabel(\"Expression level by genes\", size=15)\n",
    "plt.savefig('levelsADWT.png', dpi=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Двумерное распределение логарифмов клеточной и генной экспрессий"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"599.999976158143\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "sns.jointplot(np.log2(fd), np.log2(me),kind=\"scatter\", alpha=0.1) \n",
    "plt.savefig('exp1.png', dpi=500)"
   ]
  }
 ],
 "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}