partial rir.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: nbAgg\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "%pylab\n",
    "import pyroomacoustics as pra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "room = pra.ShoeBox([4,6], max_order=15, absorption=0.1)\n",
    "room.add_source([2,1])\n",
    "room.add_microphone_array(pra.MicrophoneArray(np.array([[3,3.5]]).T, room.fs))\n",
    "room.image_source_model()\n",
    "room.compute_rir()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "room.plot(img_order=1)\n",
    "figure()\n",
    "room.plot_rir()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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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6LfOBw5Fs2PrTzWV2md/EiABEjAKgddv36GMq1ucLftCWbFrQG2j2KYRElAbAQpACkClPptIAHqEPECv1WdQvqAV/hvopNQ++5MACZCAUQi8jH4L2wn742yVyZsF+4c6G8U2jZCA2ghQAFIAKvXZRALwZNhjfPPnKVjnyYxDw+ootc/+JEACJGAUAhFRb1Bh0oE4W8VyZoTnSBej2KYRElAbAQpACkClPptIAPreeIq2S71QKHsGHP+lnlL77E8CJEACRiHwJDIalacejLOVzyo9To2tbxTbNEICaiNAAUgBqNRnEwnAi3cj0HThMeTKnA5nXRsotc/+JEACJGAUAg+eR6HadPc4W9kypoHfhEZGsU0jJKA2AhSAFIBKfTaRALz6KBIucz2RJV1qBE5urNQ++5MACZCAUQjcDX+FGjMPx9nKkCYVLk5tYhTbNEICaiNAAUgBqNRnEwlA+UM2dcoUCJ3RTKl99icBEiABoxC4+eQlnGZ7xNlKkQK4MqMZUoj/YCMBCyNAAUgBqNTlEwnAp5HRqBR7zyZ0elOkTpVS6RjsTwIkQAKKCVx7FIm6cz3j2QmZ1gTpUqdSbJsGSEBtBCgAKQCV+mwiARj15h1sxsfk2jo/uTEyp0utdAz2JwESIAHFBEIfPEeDeUeRKW0qREa/k+wFTGoEq/RpFNumARJQGwEKQApApT6bSAB++PABxcfEZNsXQSAiGISNBEiABL42geB7EWiyQASopcXjyGipJJz3uPrIkyX9154axyeBL06AApACUKnTJRKAwmAZ1314/fY9jv/igkLZMyodg/1JgARIQDGB87fD0eL34xDpX569ikbUm/c4NsoFhXPwM0oxXBpQHQEKQApApU6rVQDaTz6A8FdvpETQIiE0GwmQAAl8bQL+N5+h9ZITKJgtAyKj3+LZS/EZ5QzrPFm+9tQ4Pgl8cQIUgBSASp1OqwB0nHEI9yNe47+BtVG+YFalY7A/CZAACSgmcO76E7RfdhJFc2aEuKvMzyjFSGlAxQQoACkAlbqvVgFYZ44Hrj9+ia39asChWA6lY7A/CZAACSgmcPrKY3T+4xRK5s6Et+8/8DNKMVEaUDMBCkB1CECRpMoVQF8AeQBcBDASwMeaRtq9UORfsY99rg+AnQke6wmgNwAbAGkB+AMYC+B4EpxaqwBsPP8oQu4/x7rejqhdKlcSzPFREiABEkgeAl6hj9B15WmUyRtz5Cs+o9b3cUQta35GJQ9xWjVlAhSA6hCAAwBMBvA9gGAAQrgNAWAL4KoOBysa+zM5w2lbLQJwGYDQWMEXBWAwgA4ihgPAXQMdV6sAbL34OPxvhWNlDwc0sM1roCk+RgIkQALJR+DopYfoscobtvmtkDpVCgTcCsf/vnNA/bL8jEo+6rRsqgQoANUhAAMBrAMwS8ORAgDsADBRh3OJxFYlY38mdgy1CcCEXUWfSABdAGw30Gm1CsDOK07i9NUnWNy1ElpUKGCgKT5GAiRAAslHwCP4AXqtOYMKhbIifepU8L72BEu6VkbzCvmTb1BaJgETJUABaPoCUCSoeglAVCw/pOFHSwEUAdDCAN/6YKAAzA3gAYB6AD7WS4o/gEjqp5nYT5yl3AoPD4eVldCCMe27Vd44cukh5na0R4cqhQyYIh8hARIggeQlcCDoHvquPYdKRbJJCeqPXX6EeZ3s0a4yP6OSlzytmyIBCkDTF4AFhcAC4AjAW8OJpgJoDKCaAY5lqAAUR8L1AZQFEJMmP3GbpG3XMaEA/HHtWewPuo9pbcqje3VxGs1GAiRAAl+XwL7Au/hpvQ+qFcsBqwxpcOjifcxoa4eujuK7NBsJWBYBCkD1CMAqAHySUQCOiA00qQvA7xO/BgbtAA7e6Itdfnfg2rws+jiVsKzfKq6WBEjAJAns9r+DgRt8UaNETuTMnBb/BdzFhBa2+L52cZOcLydFAslJgALQ9AWgfATcEIC7hjOII2CxtdbcAAfRtwM4PjYApCmAMwbY03xE6x3AkVv8seXcLYxqUgb961on0SQfJwESIAHjE9jpextDNvnBqVQu5LVKj63nbuGXJjb4qa58Xdr4Y9IiCZgqAQpA0xeAwnfOA9gSGwks+5IvgD2xu3b6/EuXABSpX5YDcAHQRGRF0GdIy8+1CsCxOwLxz+kbGNqgNAY3KPUZZtmFBEiABIxLYMvZmxi5NQB1y+SWqoGsP30Dg+uXwtCGpY07EK2RgAoIUACqQwAOAjAdQLdYkdYRgNi1Kw/gMoAeAFbF3t87Eut3IgegHJXxFED3WMEoAkqiY585BiBfrF0R/CG3t7H3Dg1xYa0CcOKu8/jr5HUMrGeN4Y1EVhk2EiABEvi6BDZ638Do7YFoUDavVA3kf8ev4sc6JTCmqbj2zEYClkWAAlAdAlDk8hPpXn4AICJ1RVqXUQD2x7qryAu4OnYnzzP234rpyBHYC8Ca2GfEzqC2dh2A6G9I0yoAp/13ASv54WoIPz5DAiTwhQisO3UdrjvPo0m5fCiZJxOWeIShZ81imNSq3BeaAYchAdMhQAGoDgFoOh6TeCZaBeCv+4Kx/EgYetcujvEtRL5qNhIgARL4ugT+8rqGif8GSXn/bPJmwW8HL+GbaoUxs12Frzsxjk4CX4EABSAFoFK30yoA5x0IwaLDofiuRlFMbi1OqtlIgARI4OsSEEe+U/+7gNYVC6BcASvM2BuMdpUKYl7nil93YhydBL4CAQpACkClbqdVAC5yv4x50rfrIpjZzk7pGOxPAiRAAooJrDgShpn7gtGuckFULJwNE3YFoZldPiztJrJssZGAZRGgAKQAVOrxWgXgMs8wzHILRscqhTCno73SMdifBEiABBQTWOIRijn7Q9DZoTCqFM2OUdsCUM8mD1b1rKrYNg2QgNoIUABSACr1Wa0CcOWxK5i25yLaVCyABV0qKR2D/UmABEhAMQH5ZEJU/nAsngODN/qhlnVOrO9TXbFtGiABtRGgAKQAVOqzWgWg5mVrUWydjQRIgAS+NgFxLUWIwB41iqJmyVzot+6ctBO47aeaX3tqHJ8EvjgBCkAKQKVOp1UArj99HeN2nEcj27z4o4eD0jHYnwRIgAQUE5jtFoylnmHoVasYnEvlRq81Z2BXMCt2D6yt2DYNkIDaCFAAUgAq9VmtAnDz2ZsYtZX3a5TCZX8SIAHjEZi59yJWHL2Cvs4lUKd0bnRbeRpl8mbB/qHOxhuElkhAJQQoACkAlbqqVgG4w/cWhm7yl2puru3tqHQM9icBEiABxQREChiRCkbU/hXBHx2Xn0TxXJngMaKuYts0QAJqI0ABSAGo1Ge1CsDd/ncwcIMvqpfIgY19aygdg/1JgARIQDGBSf8GYY3XNalEpSgH13rJCakm8InR9RTbpgESUBsBCkAKQKU+q1UAup2/xwvWSsmyPwmQgFEJuO4MxLpTNzCkQSk0LpcPTRceQ67M6XDWtYFRx6ExElADAQpACkClfqpVALpfvI/ef52FfaGs2DWAF6yVQmZ/EiAB5QRGbwvAxjM3MaJRaTS1y4/6vx2BVfrUCJjUWLlxWiABlRGgAKQAVOqyWgXg0UsP0WOVN8rmt8K+wU5Kx2B/EiABElBMYMQWf2w9dwujm9qguV1+OM32QLrUKREyrali2zRAAmojQAFIAajUZ7UKQK+wR+j652mUypMZB4fVUToG+5MACZCAYgJDN/lhh+9tuDYvi1b2BVBthjtSpACuzGiGFOI/2EjAgghQAFIAKnV3rQLw7LUn6LD8JIrlzAjPkS5Kx2B/EiABElBMQASmiQC1iS1t0bZSQVScclCyeXl6U6RJlVKxfRogATURoACkAFTqr1oFoN/NZ2jDCDulbNmfBEjAiAT6rz+HvYH3MLV1OXSoUhhlJ7hJ1oMmN0amdKmNOBJNkYDpE6AApABU6qVaBWDQnXA0X3QcebKkg/c4Rtgphcz+JEACygn88PdZHLxwHzPa2qFz1cIoOXavZNR3fENkz5RW+QC0QAIqIkABSAGo1F21CsBL95+j0fyjyJEpLXzGN1Q6BvuTAAmQgGIC3685g8PBDzC7QwV0cogRgO/ef8DpsfWR1yq9Yvs0QAJqIkABSAGo1F+1CsCrjyLhMtcTWdKnRiBTLChlzP4kQAJGICAyE4gMBfM62aNd5UIoO94Nr968w7FRLiicI6MRRqAJElAPAQpACkCl3qpVAN588lJKsZA+TUoET2WKBaWQ2Z8EkkLgw4cPWHYkDGlTpUQfpxJJ6WrWz3ZbeQonQh9jYZeKaF2xIOwnH0D4qzc4NKwOrPNkNuu1c3EkkJAABSAFoNLfCq0C8H5EFBxnuCN1yhQIndFM6RjsTwIkkAQCxy4/xLf/85ZSnFyY3AQZ0qZKQm/zfbTTipPwvvoES7pWRvMK+VF1+iE8fP4aewc5wbaA+ChjIwHLIUABSAGo1Nu1CsDHL16jyrRDku2rM5ljSylk9icBQwmI3b+2S70gIvFF85/YCFkzpDG0u1k/136ZF85df4oV31aRSsHV+vUwbj97hZ0/10LFwtnMeu1cHAlwBzCxDzD7p7LfC60CMCLqDSpMOiBZvjStKdKmZo4tZZjZmwQMI+AR/AC91pyJe1gEYYlgLDag9ZIT8L/5DP/7zgH1y+ZFvbmeuPIoEpt/rIFqxXMQEQlYFAHuAHIHUKnDaxWAr6LfMceWUrLsTwJJJCB2/1otPoHA2+FxPb3H1UeeLIxwFUBa/H4M529HYE2vqqhbJg+aLDiK4HvPsa63I2qXypVE2nycBNRNgAKQAlCpB2sVgG/fvYf1uH2Sbf8JjZA1I4+glIJmfxLQRyD0wXM0mHdUqm/79v0HKcWJ1+h6KJAtg76uFvHzhIKv1eLjCLgVjlU9HVDPJq9FMOAiSUAmQAFIAaj0t0GrABQ7EcXHxCRZPTOuAXJnSad0HPYnARLQQ+DMtSfoGFuC8cHz13gZzRQnmsgazDuC0AcvsOGH6qhRMic6LPPC2etPsaxbZTS1y0//IgGLIkABSAGo1OG1CkBhtPS4fYh+9x4nx9RD/qzcgVAKmv1JQB8Bj5AH6LX6DMoVsMKNJy/xPOotPEbURfFcmRJ1fRoZjfWnr6Nt5UIoaCE7hCI3qchRurVfDTgUy4Guf56CV9jHtDD6+PLnJGBOBCgAKQCV+rNOAWg7wU3agTg60gVFcjLJqlLQ7E8C+gjsCbiLn//xkQIaLt9/jqcvRY47Z1jnyZKo6/IjYfh1XzB61SqGiS3L6TNtFj93mn0YN5+8wo7+NVGpSHb0Wu0Nj5CHcZVBzGKRXAQJGEiAApAC0EBX0fmYTgEoJ1l1H14HJXMzyapS0OxPAvoIbD5zE6O2BcClTG4E3o7AoxevsW+wE8rmT5zjbtK/QVjjdQ0dqhTC3I72+kybxc9rznTHnfAo7B5QG3aFsuLHtWexP+g+prUpj+7Vi5rFGrkIEjCUAAUgBaChvqLrOZ0C0GHaQTx6EQ23IU6wycckq0pBsz8J6COw6vhVTPnvAlpUyC/lu7sbHoX/BtZG+YJZE3UdstEXO/3uoE3FAljQpZI+02bx84SJnwdu8MVu/zuY0MIW39cubhZr5CJIwFACFIAUgIb6SpIFYPUZ7rgXofsPkNKB2Z8ESCA+gcWHL2PugUvoUrUwjoc+wq2nupMcf7fKG0cuPURzu/xY0q2yRaCsPPUgnkRG48BQZ5TOmwXDN/tjm88tjG5qg351SloEAy6SBGQCFIAUgEp/G3TuAMr3bbb3r4nKRbIrHYf9SYAE9BAQd/rE3b7vaxXH4eD7uPb4Jbb9VANViiZOctx68XH43wpHQ9u8+LOHg0WwrTBpPyKi3uLw8DookTszxmwPxAbvGxjWsDQG1S9lEQy4SBKgAPzoA6wEouz3QacAZJZ9ZWDZmwSSSmD8zvNYe+o6BtWzxp7Auwh7GImNfaujeomciUw5z/aQIoXFfcHVvaoldShVPl9ughsiNQLT5HuQA1ysMaJxGVWuiZMmgc8lwP18GpUAACAASURBVB1A7gB+ru/I/XQKwMbzjyLk/nOs7+OIWtbMsq8UNPuTgD4Cwzb7YbvPbYxpaoMdvrelKhe6fv/sJu2X0sTUts6FdX0c9Zk2i5+Xcd2H12/f48ToelLqmxl7L+KPo1fQ17kExjYraxZr5CJIwFACFIAUgIb6iq7ndArA5ouOIejOx7JLSgdifxIggU8TkKNap7Ypj43eN6Tfv7++r4Y6pXPH66hZqUekjBG1cC2hlRy7V6qOcnpsfeS1So+5+0Ow2CMUPWsWw6RWlpEKxxLeM9doGAEKQApAwzxF91M6BWCbJSfgd/MZVvZwQANblllSCpr9SUAfge4rT0vBH/M722PNiWvSHb//feeA+mXj//6J9DAO0w5J5ioXyYbt/WvpM636n2tWJzrn2gA5M6fDIvfLmHfwEr6pVgQz29mpfo1cAAkkhQAFIAVgUvxF27M6BWDH5V44c41llpQCZn8SMJRA26Un4HvjGVZ8WwUrjoTBJ/a/G5fLF8+EXDNY/KNdwazYPbC2oUOo9jlt9cnlZNjtKxfCb50sIxeial8gJ250AhSAFIBKnUqnAJTLLC36phJa2RdQOg77kwAJ6CHQaP4RXLr/Qrr3t9D9MryvPsHSbpXRLEGdW7lmsDBnky8L3IY4mz3bqDfvYDPeTVrn+cmNkTldash5E1vaF8Dv31hGLkSzf9FcoMEEKAApAA12Fh0P6hSAPVZ54+ilh/itoz3aVymkdBz2VzmB51Fv8P49kDVjGpWvxHSnX+vXw7j9LCb332y3YKnOrbYvYAeC7qHv2nPSQkrmzgT34XVNd1FGmtmL129RfuJ+yVrw1CZInyYV1p26Dted59HINi/+sJBUOEbCSTNmQIACkAJQqRvrFIB9/jqDQxcfYFZ7O3SuWkTpOOyvYgLi/pXzHA+8in4Pr9H1kDZ1ShWvxnSnXnHKATx7+QYHhzpLFUGOXX6EeZ3s0a5y/C9gcsk4sZIiOTLi6CgX012UkWYW/vIN7KcckKxdnt4UaVKlxJazNzFyawDqlsmNNRaSCsdIOGnGDAhQAFIAKnVjnQKw39pzcAu6BxGR+C3rbCrlrOr+msdv3mPrI49VelWvx1QnX2rcXrx590ES2WJn63DwA8zuUAGdHArHm/IfR8MwY2+w9G/5s6bHyTH1TXVJRpvX4xevUSU28OXqzGZIkSIFdvndxuCNfqhZMif++aG60caiIRJQAwEKQApApX6qUwDKdTYntrRFr1qss6kUtJr7a+6+eI6oi2K5Mql5OSY59+i371HadZ80N/+JjTBiiz8OXrgvRbeKKFfNNsstGMs8w6R/ypU5Hc66NjDJNRlzUg8iolBthjtSpUyBsBnNJNNu5++i3zofOBTNjq0/1TTmcLRFAiZPgAJQHQJQVCtxBdAXQB4AFwGMBHBQj4eJczYR2iae6wNgZ4Ln0wKYDaArgCwAfAAMAhBzOciwplMADtvkh+2+tzG2mQ36OrPOpmE4zfOpB8+jUG26u7S4vYOcYFtAuA2bMQk8jYxGpakxHwmh05tCfAHbd177DvyY7QHY4H1TejZrhjSSYDT3dufZK9T89bB0/eDStKbSckW5vO/XnEWFQlnx7wDzj4Q293fM9SWNAAWgOgTgAACTAXwv7i8D6AlgCABbAFd1vPKisT+TS9211SIA5wJoFysO78WKyhbiXjiACANdSacA/GVrADaJOzaNy+BnF2sDzfExcyRw6+lL1J7lIS1t2081UaUoa0Mb+z3ffPISTrM9kC51SoRMa4oB//jgv4C70LYDL1/PEHPImDYVLkxpYuzpmJy9G49fSvdQNdd7/PIjdP/faYuJhDa5l8IJfVUCFIDqEICBANYBmKXhLQEAdgCYqMODRKilvO0mdgwTCsDUAB4C6AdgU6yNVLH/NhzAagM9U6cAHLcjEOtP38CQBqUwpEFpA83xMXMkEPbwBer/dkRa2rrejqhdiqUBjf2eQ+49R+MFR5EzU1qcG98QQzf5SeXgXJuXRR+nEvGG67ziJE5ffSL9W9pUKXFpesyOmDm3Kw9foN5vR2CVPjUCJjWWlirS5HRacRIlcmXC4RHmHwltzu+Xa0s6AQpA0xeA4rb8SwDijCYmdX9MWyoC+ACIHTt97YMWASgUWQiAUuLESMPAXgBXAIhdR20tHQDxf3ITR8e3wsPDYWUV/1iPhdb1vRbL+fnFuxFouvCYtOA/ezigISvDGP3ln7v+FO2XeaFwjgw4NqqedAdw67lbGN3UBv3qxL+CIdfplichB0UYfVImZPDy/edoOP8ocmRKC5/xDaWZiUpFomKRqAss6gOzkYAlEaAANH0BWFAILACiWru3hnNOBSC+xlYzwGG1CUBR++k4AFEj6oGGjbWxAq+TDruTtO06ahOA0/dcwJ/HruJH5xIYw0LrBrwm831E/kMrVriwS0W0rijcms2YBETOTZF7U07sPHpbADae0X4Fo9r0Q3jw/HXc8HJaFGPOx9RsyV9CcmdJhzPjYoJeLtyJQLNFx6D5b6Y2b86HBJKLAAWgegRgldggDdkXjCUAcwKIOQuKafoEoME7gCIR7VLPMHxfqzgmtBTXFdkslYB81CbW/2s7O3RJEJVqqVyMue6EEa26rmCInIxlXN0Q/e593PAXpzRBhrTiBoj5tsBb4Wi5+Hi8tDehD16gwbwjnx0II9Ib/fD3WVQvkZP3nM3Xdcx2ZRSApi8A5SNgcWYRE0YZ08QRsAj0aG6Ad37qCFhEZ8Tkg4hp4ghYBJb8bIBd8YjOO4CiyLooti5yAIpcgGyWS+DY5Yf49n8xG9hMC5Q8fiCOe8Wxr3Pp3Pj7+2qQr2AMrGeN4Y3KxA0a+fotysVWxJD/UUQBi2hgc26+N56i7VIvFMqeAcd/iTnulQNnMqRJhYtTkx4Ic+76E7RfdhIFsqaHlwXkUjRn/7DEtVEAmr4AFH55HsCW2Ehg2U99AeyJTQ+jz3e1CUARBPIIwGAAf8UaEGljRGDILwBW6jMa+3OdAnDx4cuYe+ASvqlWGDPbVTDQHB8zRwLuF++j919npaUxKjx53vBfXtcw8d8gNLPLh6XdqmDqfxfwv+NX8VPdkviliU3coHJEtgj+kHcBRR5AkQ/QnNvZa0/QYflJFM+VCR6xAR/3I6LgmCA3YFIYHLn0EN+t8raYXIpJYcNnTZ8ABaA6BKDIzTcdQLfYwI2OAMYDENtqlwH0ALAKgEjnHxNqCQgxJ0dlPAXQPVYwioCS6Nhn5gHoHGv3fmzgRxcAYldQ9DGk6RSAy4+E4dd9wWhfuRB+6yTSEbJZKoG9gXfRf71IMwkk3JGyVCbGXvdSz1DMdgtBxyqFMKejPWbuvYgVR6/gB6fiGNf84xWM87fD0eL348hrlQ5PIqOlyiGnxtRHvqzmXZ3l1JXH6PLHKVjnyYxDw+pI+BPmTkydKmklCvcF3sVP630++wjZ2D5AeySQFAIUgOoQgCKXn0j38gOA3LGJoEcBiKlsHpMXUKRtEQU9PWP/rZiOHIG9AKyJfUZ85Re5AIXokxNBix3BM0lwIp0CUOw+iF2I1hULYGGXSkkwyUfNjcBO39sYsslPWlbv2sUxvgXvhBr7Hc/ZH4wlHmHoWbMYJrUqB/kObq9axTCxZbm44eTjeBEscuPJS7yMfodjo1xQOEdGY0/JpOydCH2Ebivj5/x7Gf0WthNiPkYvTGmMjGnFwYjhTT52t5RcioaT4ZNqIEABqA4BaMq+pFMA/n3yGibsCkJzu/xY0q2yKa+Bc0tmApvO3MAv20Q6S0hlyUR5MjbjEpDv/P3sUhIjG9tAvoPbo0ZRTGn98Q7uv/53MGiDL6qXyCFFwUZEvYX78DoomTuzcSdkYtY8Qx6g5+ozKFfACnsGOUmze/vuPazHxZTP85vQENkyiuJIhjf52D1NqhS4PD2mvBwbCaiFAAUgBaBSX9UpAP85fQNjdwRKOd9E7jc2yyWw9uQ1jN8VJAFoW6kg5neuaLkwkmnlI7f4Y8u5W3F3LEUAlhCBXR2LYEbbj4Jb/mLWtHw+nLn2BI9eRGP/EGeUyScOAcy3yfdQ7QtlxS6Nsm8lxuzB+w+A99j6yGOVtGNw+dhdULOEXIrm6x2WuTIKQApApZ6vUwBuEWXgtgbApUxurO5lSLpCpVNhf1MlsPLYFUzbIwrSAI3L5cWKb/mFwNjvqv/6c9gbeA+TW5XDdzWLYYlHKObsD0Enh0KY3eHjHdyFhy5j/iERnFUEYlfsbngU/htYG+ULZjX2lEzK3v6ge/hx7TmpDKEoRyg3m/H7EPXm/Wcdg8/dH4LFHjF59EV9YVFnmI0E1EKAApACUKmv6hSA8r2v2ta5sK6PyGPNZqkEZDEi1i+nKbFUFsm1bhGNKqJS53a0R4cqhbDiSBhm7gtGu8oFMa/Txx1X+ai4f92S2B1wBzefvML2/jVRuYh512eWA5GqFc+BzT/WiHsNFSbt/+xj8Mm7g7D6xDXJVtDkxsiULml3CJPLF2iXBAwhQAFIAWiIn3zqGZ0CcE/AXfz8jw8ci+fAJo0PXKUDsr/6CMj30cTMqxbLji39Pu7AGGM14a/eQFw56OhQyOzTmeji1WGZF85ef4pl3SqjqV1+KQWMtiCs4Zv9sc0npkTc5rM3ceVhpCSIhDAy57bL7zYGb/RDzZI58c8P1eOW6jDtEB69eI19g51QNn/8cpb6eIza6o/NZ0Whps+7Q6jPPn9OAslJgAKQAlCpf+kUgPKRS+Ui2bC9v6g8x2apBEQ6IJEWSDTNS/jG4iEfMVvy8XKTBUcRfO+5lARa7LLKAQrNK+THkq4fg7BEAIgIBJnQwlYSgKLP+j6OqGWdy1ivwyTtbPe5hWGb/eFUKhfW9v54IlHr18O4/ewVdv1cC/aFsyVp7uILrviiK5r3uPrIkyVpdwiTNBgfJgEjE6AApABU6lI6BaBH8AP0WnMGFQplxb8al66VDsj+6iOgeVRWIncmHB5e16iLkO9ipU6ZAqfH1kdOM09qrA2e82wPKa2LuN8m7rmtO3UdrjvPJ7pz+dO6c9h3/h6mti6HTWdv4vztCKzuVRUuZfIY9Z2YmjEhdkdtDUA9mzxY1bNq3PRc5nri6qNIbOlXA1WLJW0XtNdqb3iEiNz5wPFfXFAou3mn0jG1d8r5KCNAAUgBqMyDPlEKTjPfmNsQZ6XjsL+KCch1acUS8mdNj5NGLpslJz0W9sXO1ve1i6uY1udNvcrUg3gcGQ23IU6wyWcFOfVOg7J5sPK7j4Knz19ncejifakmsxCAvjeeSVH6IlrfnNsG7xsYsz1xVoLG848i5P7n7YJ2Wn4S3tdiSqmL6iKiyggbCaiFAAUgBaBSX9W5A6gt877SwdhfnQREjVqRNFe0bBnTwG9CI6MuRA5sEEbFPS5xn8vSWhnXfXj99mM0q5ykuG6Z3FijEYXfc7U3PENigkXErpj31SdY2q0ymtnlN2tka09dx/id5yHS3yzrXiVurS1/P47A2+FY3bMqXGyStgvafNExBN2JkGwdGOqM0nnNO5WOWTuIBS6OApACUKnb6xSAcqH0ojkz4shIUaSEzVIJyPfOxPpFqgyRMsOYTXOHUdjdM6g2yhUw77Qmmvw0Exr7jm+I7JnSQo7CT3jnrdvKUzgR+hgLu1SUBKD8360rFjTmKzE5W6tPXMXk3RfQokJ+LNa4E9l+mRfOXX+K5d2roEn5fEmat3x8LDpZQiqdJMHhwyZPgAKQAlCpk+oUgAG3nqHV4hMomC0DToyup3Qc9lcxgX5rz8Et6F7cCsJmNEOqlKLCoXGanARZtpaw/JlxRjFdKyIK2n7yAWmCIdOaIF3qVNjtfwcDYyt+bOz7Me1JpxUn43b9hAAUu4FzOlRAR4fCprtAI8xMDhRqU7EAFmiUpvzmj1M4eeUxFn1TCa3sCyRppGrTD+HB89dSnx39a6KSmafSSRIcPmzyBCgAKQCVOqlOASjKTDVbdAy5s6TDmXENlI7D/iomoHlZXizj/OTGyGzEnGlDNvpip98dKcJYHMmJMmeaokfF6Aya+p1nr1Dz18PQLEnmdv4u+q3zSZR2p93SE/C58Qx/fFtFqhxy8MJ9qTSfSAxtzk1EoYtodJEjURx/y03zSFz8LCmt3AQ3REa/k7pYQiqdpLDhs6ZPgAKQAlCpl+oUgKEPnqPBvKPInjENfI1850vppNn/yxKQjx3lUY2dMkOugiFyvHmFPYZD0ezYqlHt4cuu9suPJv+uad6vFMLuh7/PolKRbNihkYZJ887blnM3peohU1qXQ48axb78xL/giHIy8i5VC+PX9hXiRu7791kcuHAf09uWRzfHogbP6P37Dyg5bi8+fIjpYgmpdAyGwwdVQYACkAJQqaPqFIDXHkWi7lxPaadH7PiwWS4BOUmxTODoSBcUyWm8lBlyZKuIeD108YGUz03kdbOU5nfzGdosiX/dQk7DZFcwK3YPrB2HQs4XuK63I4QA3OV3B67Ny6KPUwmzxiWXwOvmWATTNWojD/jHB/8F3MXElrboVcvw6PGX0W9hO2F/HDNLSKVj1g5igYujAKQAVOr2OgWgSK4qkqymS50SIUa+9K900uz/ZQm0WnwcAbfC4waVU5UYaxY9Vnnj6KWH0h0ukeQ4OZJNG2uuyWHHK/QRuq48jdJ5M+PA0DrSEIKH4JIwKrrBvCMIffACG/tWlyKzxf+JqiD96pRMjqmZjM3fDoTg98Oh+K5GUUxuXT5uXsM2+2G7z22MaWqDH5PA4MHzKFSb7h5nRxypNyqXtCASk4HDiVgkAQpACkCljq9TAD6IiEK1Ge4Qd/2vzGyudBz2VzEBOdeavARj156VL/J/U60wNnjfjCeEVIzN4KkfCLqHvmvPoWLhbNgZu/PpFfYIXf+MLwqFwTpzPHD9sUgYXUMSf4LX8IalMbB+KYPHU+ODs9yCscwzDL1rF8f4FrZxSxizPeCzGMgnHLIhUW1FVF1hIwG1EKAApABU6qs6BeDTyGhUmnpQsn9lRjOkNGLUp9JJs/+XJaCZLkOM/E8fR9Q0YukxOZWH+OMuauCWyJUJh0cYt9rIlyWWtNFEHeSxOwKhmfRZ5PcTEb8JK6/Ipc/+HVBLEoB/n7yOQfWsMaxRmaQNqrKnZ+y9iD+OXsGPziUwplnZuNlP3HUef528joH1rDE8CQyC7oSj+aLjcXYWdK6INpXMO5WOyl45p6uHAAUgBaDSXxKdAvB51BvYTYqfmkLpYOyvTgI1Z7rjTniUtBv8/gOwsocDGhix8oQc2CD+iItjvsI5MuDYKMtJPTT/4CUsdL8sRfKKiF7RRG47IYyL5MiIo6M+5uGUU5fsHeSEbT63JMH8U92S+KWJjTqdy8BZT9l9AatOXEX/uiUxSmOt0/dcwJ/HriYShvrMnrn2BB2Xn4x7bHaHCuhk5ql09DHhz9VFgAKQAlCpx+oUgFFv3sFmvJtk39hpP5ROmv2/LAGHaQfx6EW0FBH+9OUb/P5NJbRMYs61T81YDmwQIkYc9SVHubkvSyxpo4kSZ6LU2ZAGpTCkQWmps//NZ2idIDBE/HvlqQfxJDIaB4c6Y6vPLaw4cgV9aheHq8axaNJGV8fTE3ad17rbOWd/MJZ4hKFnzWKY1KqcwYvxCHmAXqvPxD0/rU15dK9ueBSxwQPxQRJIJgIUgBSASl1LpwB8J9IkjN0r2feb0BDZMqZVOhb7q5SA3cT9eP76rXQ0e+VRJGa3r4BOVY2XeLjeXE/J7uRW5TDx3yDkypwOZ10tJ/dk7zVn4B78IF4+P/mIMq9VOpwe+5GF/C48R9SVdgC1BUao1M0+OW1xRC6Oyoc2KI3BDT7ed5Sjg7s6FsEMjehgfQz2BNzFz//4xD2W1Chiffb5cxJIbgIUgBSASn1MpwAUhkuM2SMd+Rk775vSSbP/lyVQ2nUfot++l3LS+d54hkktbdEzCSk39M229qzDuPX0lVTRYuTWAGTNkAb+E41bb1jfHL7mz1v8fgznb0dgVU8H1LPJK00l5N5zNF5wFLkyp8VZ14Zx07MZvw9Rb97j+C8uUvTrvIOXkFTx8zXX+rljj9rqj81nb2FUkzLoX9c6zowIDBG7xgkTROsbR1RRGbU1IO6xsc1s0NfZvCOp9TGxhJ+vOXEVBbNnREMjXmH5WtwoACkAlfreJwWg/Iffa3Q9FMiWQelY7K9CAh8+fEDxMTE7wS5lcsMj5KF030zcOzNWk++1Le1WGf3X+yBT2lQImtLEWOZN3k7V6Yfw8PnrePVoRaoXkfIloRi2HrsXb99/wOmx9aUdwNluIehYpRDmaFTHMPkFf8YEh27yww7f24lyHoo7kFP/uyClEBLl4Axtcm1h+fmRjcvgZ5ePwtJQO3xOPQQ+fqkyjxMGCkAKQKW/fZ8UgHKppCMj66JozkxKx2J/FRJ4/fYdyrjG3AVtW6mg9EfY2FGnlaYckO4WrulVFT1Xn0Ha1ClxyUJyT7599x6lXPdJFSlEyUVRelE0bYnYNcW4z/iG2O5zC9P2XETC+rgqdDO9UxbHteLYVlwT+K7mx6on605dh+vO82hSLh+Wf1tFrx35AbmyiPy/B9cvhaENY+5fspkngZ2+tzFkk5/Z5LalAKQAVPqb+kkBWHHKATx7+QaHhtWBdZ7MSsdifxUSiIh6gwqx0eDiov0ar2v4wak4xjX/mItN6bLkLxqiHqtIfWJJuSfvhUeh+kx3pEqZApenNY1Lt3Tr6UvUnuWB9GlSInhqUwmxOIYXu/KiBUxqhB0+t6U7kyJ/nchjZ85NlMUT5fHEPT9x5C03+Si3nk0erOpZ1WAEs92CsdQzLO75hNHFBhvig6ohIGpJi5rSol2d2QwpUqRQzdy1TZQCkAJQqQPHCMCFzrCq3AaoMQBIlSbOpsO0Q3j04jX2DXaSKhKwWR4B8f6FH4gmdklEupKE5biUUik9bh+i372XjkBb/B6Tm81Sck8G3HqGVotPIJ9VepwaWz8OpSwM06RKgcvTm0n/rlm+7OKUJtjuewvjdpxHI9u8+KOHg9LXYNL9e672hmfIQ+meaEeNdC27/G5j8EY/1LbOhXV9HA1ew6R/g6QvM3Iz9pcagyfCB78Yge/XnMHh4AfSeMFTmyB9mlRfbOzkGIgCkAJQqV/FCMDRWWCVLgVQtBbQ8S8gc27Jrpz/bfeA2rArlFXpWOyvQgJyScC0qVJiROPSmLE3GO0qFcS8zhWNshrNY02PEXUhkk6LFjKtCdKlVvcHtCGAxK6W2N2yL5QVuwZ8rPkr7gSKu4GiybsV4S/fwH5KTG7Oy9ObSsfxIpBB3M1c3auaIcOp9pluK0/hROhjLOxSEa0rfkzYvC/wLn5a74OqxbJjS7+aBq9vxBZ/KZF26pQppDuVSU0jY/BAfNBkCMhJ1MWERJCZuF+r5kYBSAGo1H9jBKD7Qlidmg1EPwesCgG99gLZi8J5tgduPBFlp2qiStHsSsdifxUSuPooUhJlWdKlliIwx+8KQtPy+bCsu+H3rT61bM1jTe+x9aXyg6JZSu5J+Q6biEr8U2MXT7MST9iMZtIRseZurBCFu/zuSHeanErlwtrehu9+qdAN0Wn5SXhfewIRKNTM7mPJNveL99H7r8QCWt8a+68/h72B96Qoa5Hj0hIiqfUxMeefa15lEes0h8wWFIAUgEp/Zz/eAXx9F9jwDfAkDChYBejlhvoLvRD2MBKb+laHY4mcSsdifxUSCL4XgSYLjiFnprRSCS6xc1KndG789b1xdpxevH6L8hP3x4k++b8tJffkvAMhWHQ4FN2rF8G0NjFVQETTVokn4bHwfwF3MOAfXzgWz4FNP9ZQoXcZPuU2S07A7+YzSSRrpvA4dvkhvv2fN2zyZYHbEGeDDX63yhtHLj2U7jaLiGtLiKQ2GI4ZPnju+hO0X/ax8suxUS4onCOjqldKAUgBqNSB4weBPLsBLHcCop5J9wGbXGyM4HvPsa63I2qXyqV0LPZXIQH5jlqBrOmlwA8RjVmteA6IgA1jtIQ7XXLycc2IWGOMY6o2ftkagE1nb2J4w9IYWP9jguNX0e9QdkJM9HXQ5MbIlC41bj55CafZHsiQJhUuTm2C/UH38OPac6hcJBu2969lqks0yryaLzqGoDsRUqR43TJ54myevvIYnf84lahmsr5BOyzzwtnrT+FQNLv0/y0hklofE3P++frT16X7snIzh8BGCkAKQKW/s4mjgIP3ABu7SnYnZJmCvx9aY3WvqnDR+NBVOij7q4fA2WtP0GH5SRTLmRETW5ZDrzVnYFcwK3YP/HhfTclq7kdEwXFGTBSsOOqU89ydHFMP+bOaf+7JXqu9pdyKs9rboXPVj9Gtmkfj8n2lKw9foN5vR2CVPjUCJjWGR/AD6X1UKJQV/2rcH1TyPky1b6P5R3Dp/gv808cRNa0/fhn1vfEUbZd6oVD2DDj+i+H1o5suPIaLdyPQoGxeHLp4H83t8mNJN/OOpDbVd/sl5jVx13n8dfJ63FB7BtVGuQLqvtdOAUgBqPR3R3samL0jAe8/cCNVUdSNnI7l31ZFo3L5lI7F/iokcCL0EbqtPI0yebNItVa/+fOUdGwmvkEboyXc1So73g2v3ryDORzRGMKn2cJjuHA3ItGXrPfvP6BEbClGkfMvR6a0uHT/ORrNPyodx58b3xCfe/xpyLxM7RlxD1XcR93SrwaqFssRN70LdyLQbNExKX+i2DU2tNWZ44Hrj19KFUREMIgQgiu/M+9IakPZmONznVecxOmrT+KWtr1/TVQuou577RSAFIBKf1e1C8BXT4GF9kBUOEa8+RH1ugyNd/Fa6aDsrx4C8i6T2PWb1qY8Wi85gYLZMuDEaMN3Wz612rCHL1BfY1fLbtJ+PI96C/fhdVAyt/nnnnSYdlAKQtg7yAm2BeKnWkpYivH87XApTY5cH/jUlcfo8scpaKiTugAAIABJREFUlMydCe7D66rHqT5jpnIE586fa6Fi4WxxFu48e4Wavx6GiFIXkeOG5naTU1yJ9C9/Hrtq1Hutn7E8dklGAiLTQOWpB6Vk8yLHqChvuuGH6qhRUt332ikAKQCV/troTgR9YiFwcAJuf8gJn1aH0LJKCaVjsb8KCbidv4t+63yku1Iz29mh4fyjyJ4xDXwnGKdWrxxkkitzTHkm8UH9JDIa+4c4o0y+LCokZviU34gqIONiEjufc22AnJljqoDITc6PKJdiFEEQIhhCPu48d/0p2i/zQtGcGXFkpIvhA6vwSblcYMKju6g372AzPuauZFJSe8g7zaIE3Jz9IahZMif++aG6CslwyvoIPIiIkrILCPFXIndM0E/Cu6T6bJjizykAKQCV+qVuAfjmFR7/aoec7x7C33YU7DuNUzoW+6uQgJxoV/yBnNW+ghSEoFmdQumSNINMvMbUh/yHXiSFLl9Q3Xd09LGRd69EsueQqR+rgMj9Eh6Hy/cxi+fKBJEzMSE7feOp+edyucCDQ51RKm/8LwZJ3TV+9/4D5GAjsastSsklNY+gmlla2ty9Qh+h68rTEL834iqF+OK04tsqaKzya00UgBSASn+XP1kK7u/fJ6HH4/mIzFAAmUaeB1Kaf2JepUDNrb9cakskG57b0R5VYquCGKtSh2aQiedIF+g66jM3rmI98o6eiLAW4jdhk4WNEHvij5dX2CN0/fM0SuXJjIPD6khBDCKYQd49NUdG8ppEeiCRMkhbXXL5fqCITBcR6vqaZuohUUJPRLbbF86GXT8bN5Ja/O4sPHRZut9ZOoFo1TdH/tx4BA4E3UPfteekqwMZ06aCV9hjLPqmElrZFzDeIF/BEgUgBaBSt/ukABy81guTQjsie4oXQJcNgE1MSSo2yyEgJypuXC4v5neuCNsJMTn7LkxpjIxpUysGkVDUyJfzt/arAQeNy/6KBzJBA3IaF/GHSdxtS9jkXa9Dw5xhnScLjl56iB6rvGGb3wp7BztJR1kN5h1Btoxp4GekI3kTxCRNSdRAFpHR8nG45jzllC4Jk0TrWovmkaCooCJyAspMjbn+3mvOwD34AVybl0UfJ+1XaJZ6hkplANtVLmTMoWlLg8DewLvoH1stJnO61FLUfcKSgmoERgFIAajUbz8pAAdt8IVt0G/ol3o3UKIu0GOX0vHYX2UE/nf8Kqb+d0H6trygc8W4yFRxX0/sPCltniEP0HP1GZQrYIU9g5wkQSOEjTlc0tbHZu3Ja1JlFSGuV3ybOAI1YS3uw8H38f2aj1Uvrj+ORJ05nsiUNhWCpjTRN5xqfy4u8YuI6A8fIEX6iohfzdZv7Tm4Bd3D1Nbl8G2NYnrXKafTEdVtRA1lEdku76rq7ZyEB7754xROXnmMAS7WGNG4TKKe8hUAIUpE5Ru25CEgX2OpUSKnVP5N+Io4+u9evWjyDPiFrFIAUgAqdbVPCsDhm/1x2tcXx9INQQp8AH72BnIn/iBTOgn2N10CyzzDMMstWEqXIY6AbcbvQ9Sb90ZL0yLXwpV3wZosOColH//7+2pwLh1Tk9pc2xKPUCkAobNDYczqUCHRMqvPcMe9iCjI9yHdzt9Dv3XnpLKMojyjZgTspelNzRUT3r57D+vYYBn/CY2QNWP8Gq7jdgRi/ekbGFS/FIY1LK2XgxxNLXbelnSrJFWIEHkuxRUEYzYRMe9/8xm6ORbB9LYfq7zIY8gpbMT/lus9G3N82oohsO3cLQzf4i99nogANlFCcXwLW/SuXVzViCgAKQCVOvAnBeDobQHYeOYmPAquQPHHR4BqfYFmc5SOyf4qIrDg0CUsOHQ57o+YHKV7YKizUe417Qm4G6+6SMvfjyPwdjhW9XRAPZu8KiKV9KnO3R+CxR6h6FmzmJRjMWGrPeswbj19JR0PC4Esl36rXiIHNvatgYfPX6Pq9ENIkQIQdzINTYGS9Jl+3R6aVVG0XT2Yf/ASFrp/9FF9s9WsHiJ2tVstNm5qI3l8OXl1M7t8WNotce1s+f6reP7StKZImzqlvqnz559BYNOZG/hlWyDq2+RBzsxpsfnsLYjo759drD/Dmul0oQCkAFTqjZ8UgON3nsfaU9cxr/IjtLswCMiQHRh+CUidVum47K8SArPdgrHUMwy9ahWTKoHIQRriwry4OK+07fS9jSGb/FDbOhfW9XFE26Un4HvjmVlE6eljI47WxRH7T3VL4pcmNokerzvHA9cev8S2n2qgStEckFk5lcqFtb0d8exlNCpOOSj1C53eFKlTmaeACH/1BvaTD0jrvDy9KdIkWKd8lN6kXD4s/zax0EoIVj5KF7ktZ3eoIAXSJDWRtL53K34uC3hx9Lihb+IUM/L1B/Fs4KRGyJI+/s6mIWPwGf0ENO8x58mSXvqbZuhusX7rX+8JCkAKQKXe90kBOHl3EFafuIYBdYtiRGBbIPIB0HUzUJr3VZSCV0t/WaT0q1MSo5vaQBYlxgrS2HzmJkZtC0A9mzxY1bMqOi0/Ce9rTyCiM5tXyK8WTJ81z7E7AvHP6RvSsaX4g5Sw1f/NE2EPI7Gxb3VUL5ETmhHZIngh8vVblJsYE5RzcUoTZEhrnlH6j168hrgPKZq2o1L5kr/IVbn1p5p638Vu/zsYuMEXjsVzSEezyRVIU2XqQTyOjIZNvixwG+KcaF7y7rf4gbHu1OpdvAU+sObEVUzafUH6PMlvlR4rj1/Fj3VKYEzTsqqmQQFIAajUgT8pAGfuvYgVR6+gr3MJjE2xBji9HLDrBLT/U+m47K8SAvIusPyN2dhBGprfzkUgRLeVp3Ai9DEWdqmI1hULqoTS501z2CY/bPe9jXHNyuIH58RRoo3nH0XI/edY38cRtaxzSWJRiMZGtnml4AXNesEBkxrBykx3kO6Gv0KNmTHVPrTddfS++gSdVpyUUuWIlDn6mqaQntyqPJzneCRLII2cx1Gu3JJwXvI8xL9ri27Wtw7+3DACK49dwbQ9F9GmYgEUzJ4BSzzCdF67MMyiaTxFAagOAZgCgCuAvgDyiC/rAEYCiDm70d4M6ZMewGQAXQCI2/JXACwAsDIJ7vlJAThnf7D0yyId/1V6BaysD6TJBIy8DKTNlIRh+KhaCYza6h/vzow4LhP554wVpLHq+FVM+e8CWtoXwO/fVJJSchy5ZB5pGvS985/WncO+8/cwtU15fKslIrH5omMIuhOBv76vJpUq+/vkNUzYFYTmdvmxpFtliOjY4mP2SsNoqySib3y1/PzG45efFGlyOUER1RtoQDStzFHczRPBAJ8Sl5/LSLOWs7jbFzI1cZm61SeuYvLuC9IQcq7Hzx2P/XQT0AxkK5IjI+YdvIRvqhWRKhupuVEAqkMADogVat8DCAbQE8AQALbiREOHAxrSR2zD1QYwGMBNACKT7DwAXQFsNdCxPykA4wUAtCkPLKoIPL0GtP8fYNfBwCH4mJoJDNnoi51+d+JymbVafBwBt4wXpLHiSBhm7gtGu8oFMa9TRfT56wwOXXwgfTiLD2lzbrLYFdHVIso6YWu9+Dj8NVjLOxmtKxbAwi6VpMetx+7F2/cfcGpMfeTLKr4Tml/Tl+9Q845g8NQmSJ/m00fhmj4ndl/l5ObGjMR9Gf02LmemeCPaglfkKHDxc7chTrDJF78WtPm9ya+zot/dL+M3SfQVRrGcmeJ93nydGRlnVApAdQjAQADrAMzSeO0BAHYAmKjDFQzpcyvW5u8aNsRFGbHDONBAF/ukAJQvV4voqf/1rAq4TwWOzQVKNwW6bjRwCD6mZgLyLtWU1uXQo0YxtFt6Aj5GDNLQ/HCe2a4CkprTTc1sxbGlOL7Udd8xIevlR8Lw676PKXnE2hOWi1MzD11zlyue6ArUEDuhZVzdEP3uPU6MroeC2TJ8EoPmF9tfmtqgwqSYABNjRuJq3lsUto//4oJC2TPGm5dIryR2p0T7d0AtVCikPKjKHN+/0jWJHb9F7pelXfaSuTPF3QcUv3dqbhSApi8AxVfylwAaAYi5xRzTlgIQ2xsttDigoX3ELp/YRewOwAeAKJwqdhjFUfNuHY4tMqhqZlEVRTVvhYeHw8oq8bdPOV2CXHwe9y8Ay2oAqdIBo64A6TKr+feHczeAgFzNYFZ7O3SuWgSdV5zE6atPsLhrJbSooLyU0rwDIVh0OBQ9ahTFlNblMeAfH/wXcBcTWtjie5Xn6RJVTsQ9vbplxM2PxE3fbqocECNXuFh8+DLmHojZyRBiWTS5XNzh4XWkQvfm2OSax0LYCYGnrdWY6Y674VEGCamZ+y5ixZEr6FO7uJSg2Wa8m2QyaHJjZEqnvLqNsHXzyUupbrbctNW2nrDrPP4+eV16ZEu/Gqhq5pVvvpZvamYyECX5xmwPRIOyebHyu8TJ17/WHD9nXApA0xeA4ha72KlzBOCt8ZKnAhChtNW0vHhD+4hPe3EByEkEkQEQl/KEsFz8CWeapG3XUZcAfBoZjUpTY64qikz1mUWUoXwM3HkdULbl5/gt+6iIQPeVp3E89BHmd7ZH20qFIP9vkT+tTSXlQRqaf4xdW9hCDowY28wGfZ1LqohU/KmK5MUVJh/Am3fv4TuhEUS1h4St4bwjuPzgBf75wRE1S+ZK9POuf56KV7dUcydD3BsUTY403T/EGWXyie9z5tfOXX+iN1lzi9+P4fztCKzuWRUuNtoFt0xm4q7z+OvkdQysZ40hDUqj5NiYe5R+ExoiW0bjpLgKufccjRccjXsZa3tXg1Op+InNRaL9bT7izwOwrrcjapdK7AOGvM1rjyLx9v17qVwgW2ICM/ZexB+xwYwiInvYZn/IqZTUzIsCUD0CUCSnErt0cjNEAOrrIwJAqgLoDUAUEu0fuyMoCvZqjqXp40naARQdq00/hAfPX2N7/5qoXCQ7sG80cHoZULE70GaJmn9/OHcDCCTcheq12luqpSnyp3VyKGyAhU8/MmX3Baw68TEXXsKgE8UDfCUD4S/fwH5KzNHi0ZEuKJIz/vGf+Hc5T9yO/jVRSfxuJWjf/u80jl1+hHmd7KVasfJOxve1imNCS7H5DySsFvKVlpusw54Me6y3XJt8n9IQv5R9bFSTMuhf1xolxuzB+w+A97j6EHnijNF8bzxF26Vecaa0RbXL1x3EQ5+b+FwEm4hk4K/fvpdSyei7/2iMtanNhpzOrH/dkihXIGu8xPNqW4vmfCkATV8Ayse5DQG4a7w8sVMnChE21+KAhvQRx8fXxBUgACEaNnYCEBdJ9OdCiOn0yTuA4gH5j9Cv7ezQRVzKv+IJ/N0ayJQ7Jil0SvNMPqvmDwZjzl0ORFjZwwENbPPih7/PQpRvm9HWDl0dlQdpuO4MxLpTNzC4fikMbVhaSnMi0p0MaVBK2p1Ra7v19CVqz4o5AtR2/Cf+3WHaQTx6Ea0zACCh2JZ3Mn50LoExzWJymOkTkWrlpznvo5ceoscqb9jmt8LeweLAI3GTd9NEQm2RWPtTTb5mMLGlLXrVKo4yrvskAWXI/UFDeXqFPkLXlafjHp/cqhy+qxm/TrH82SoeWtatMpraJT3v5fOoN7CLvcNoTAFr6DrV8JxmKiv7QlnR+6+zUhJ7kcxezY0C0PQFoPCv8+KKR2wksOxvvgD2xKaH0eaD+vqI8x8RKCJusQpbchNbcuITMnFhUe2erlcATvvvgpQ4U64EgbfRwJySwOsIoPchoLDYhGQzVwJybV75CKv/+nPYG3gPclCI0nX/sjUAm87ejCvNJB/PDXCxlu5nqbVpHgHqOuItN8ENkdHvcGRkXRTNmTitUp+/zuLQxftxEdGT/g3CGq9r+NmlJEY2jqkcUm+uJ648isTmH2ugWvEcasX1yXm7X7yv94+2nLNU1HcVqV0+1eRIc/lLrd3E/Xj++i08R9RFsVzGSW916MJ99Plb3MyJadq+0MhBPuLnn3ul4l54FKrPjNlbODbKBYVzJN5pNkunSMKixmwPwAbvmxjesLS00979f6d1JudOgtmv/igFoDoE4CAA0wF0i92t6whgPAAh4i4D6CFOAGLTuByJ9Sp9fUSegzMARO0gkVNQ3CQWX2cWARgHYL6B3qlXAMrJSmtZ58T6PrHljLb0BIJ2AE7DgfoTDByKj6mRQL3fPHHlYSQ29a0OxxI5MXijr1RM3bV5WfRxSpy8OKlrHLrJDzs0kiHLlUfUnqlfvrcmeCzvXgVNyueLh0ZEroq7Z9LR49j6yGOV+OgxYZ5AebdUU0zIyaL/6eOImtafd4csqe/sSz/vdv4u+q3zQdVi2bGln/ZKH38evYLpe2OS/S6ITZGja54Jk43L9a0PDnVGqbzGuUf3r/8dDNrw8bv5dzWKYnLrmHubcpPfnfjfs9tXQKeqSb9SIedAFDYODasD6zzmGQikxOdGbPHH1nO3pHKLDsWyo+PykyiRKxMOG5A0XMm4yd2XAlAdAlAkdRbpXn6ITdgs0rSMAhBTwykmL+BqAC4APGP/TV8f8Zj4izINQBMA4gKREJMiEfSaJDieXgHof/MZWi85gVyZ00l3TKTmvwnY0RfIUw7o//GeSxLG5aMqISDX/t35cy1ULJwN8lGbKAsnysMpbT+v98GewLuQj8hEmhOR7sSQnRylYydnf5HMWtxLk/64a7kv+frtOyl1iWi6qngkPKocvS0AG8983C0VfeVk0Wt6VdUZbZyc6/wStnf53cbgjX6oWTIn/vkhcU1dMYftPreky/1yTelPzStheh3HGYdwP+I19gyqLd0RM0bbdOYGftkmDmliWiv7Alj0TUzuRrnJx/fif09tXQ7f1oh/RGzIPAJvhaPl4uPSo8acvyFjq+UZzVymYpe81eITUqogXRHlalkXBaA6BKAp+5NeAaiZ0DSu2sDLJzHHwB/eA0MvAFmVR4OaMiRLnpu4YP7w+WvsHeQE2wJW0DxOGailfm1SWSW8U/jbgRD8fjgU2nZMkmr7az6vWedVHEkKQavZNINELk9vijSpEt+lTZiEe9hmP2z3uY0xTW3wY6z4brPkBPxuPsOfPRzQ0Dbv11xyso0tdm/ELo6ohiKqomhrsuDWVXdXs0/CajayEJO/5BhjIZpVPoQ9bVGnlaYcwNOXb6ThPndHXQ6QETbiAvWMsQAzsvHzPz4Qv4+TWtqiRslcUnR2rsxpcdZVXM1Xb6MApABU6r16BaAYwHm2B248eYkNP1RHjZI5Y8b8wwW44wO0ERHBovgImzkSqDBpPyKi3sJ9eB2UzJ0ZCWsDK11zwmoYCw9dxvxD6i/VtPnMTYzaJvK9Iy7ARZOVfHcrdcoUCJ0hAvcTN/noSt5tFUeK4mhRM0eiHKX9uUEESt/fl+i/wfuG3txtQXfC0XzR8fgnFTom5zLXE1cfRcbl3pPvURozF59c5UOcnIik0OULWuG/gfEDWEqP2yclrxZtZOMy+NnFOsk45fuRomO8z+ckWzLfDj+uPYv9QfcxrU15aYe47lxPKS2TSG2m5kYBSAGo1H8NEoDyZXTxDapnrdidjEOTgePzgAqdgXZ/KJ0H+5soAZvx+xD15n3cBXPNlAqjmsQEIihpcq47OU2G/IezY5VCmNPRXonpr9r3f8evQtxnFC0ugEpjRkKACCHyqfq1CY985QAczePChPy+6qKTaXDN2r1Lu4nsWInb/YgoOM5wR8oUQOj0Zkgp/kNHS5g6JznuUc7dH4LFHqEQUaeinF/CI0eRILy06764GQ6qXwrDGiY96l0+HheGzPkagBLX0kxm71w6t1T7OU2qFLg8XfsXLyVjfcm+FIAUgEr9zSABOGd/MJZ4hMUvoH3lCPB3KyBzXmB4CJBC9weu0kmy/9chIAIVSozdiw8aOdLkaMsfnIpjXPNPR1saMusOy7xw9vpTLO9eGU3K58cfR8MwY28w2lYqiPmdKxpiwiSfEaWnROJm0dpXLoTfOsUXsxfuRKDZomPQVd5M9Bu3IxDrNVLiJIwKFs/oqydsknCSOCltNZATmhAJt0uNixFUPuMbIkcm3Qmd7ScfgKgfLAdNxCWR7lUVLjqqtiRxypDzWzazyydFzWdKmwpeo+tj1v5giC83xXNlQsUpMUn2RRP3acVOb1KbvDsq+q34tgoal4sfbJRUe+b4vEghJFIJ/dbRXkoSLoJ+RAub0QypPvFFwdRZUABSACr1UYME4A7fWxi6yR81SuTEhr6xl7DfRAGzigJvo4D+p4A8MXnJ2MyHgOYfVf8JjZA1YxrIXwZ61iyGSa3KKV6snGfwf985oH7ZvJDvTrWokB+LVVyrU87ZJwA1ss2LP3rELzt17vpTtF/mhSI5MuLoKBH/lbhpVqwY3qgMeq72hmfIQ8ztaI8OVQpJHWRRGJenU/EbMT0Dol6uqJsr1izWrqv9n72rgI7i+t4fhAR3d9fgBIK7u0ORX3EoBYoUirsUp0DxFqdYoYXiriFYsAAhaNDgBCfC/9w3uZvJZHZndmdj/Pee03NK5sl9b2Zn7rvyfcXH78XrD4HYO6AyiPLLnJDnjTxwjPvXbMEJePm9xpKOpVDbTgYU58oS3RzBaLGRRwVONQumE78dxomka2peYj13go1jaktFJlRsoiV0sFt27A7ypE9iN4NXa87ovC73khMFnOsYqf7y2vi6SEjsVrFUHAagwwA0+ujqMgAP+zxFp+Vn4JopGXb0k+WxrGoK3D4E1P0VKPuDUV2+yf5URNPpzzMid5KAjmOTvPschMKhL8vrE+oKloE5+29gzn5ftHfPhknNihhejhJncPWpeyLPsK5rBizqqB7uMzxpFAzAgNY0VdlcqbC+R7lws564+Rztl3kif/qk2DOgsqpGDIlDwMYEYcE0fHJWCRNUjI1VpFGwFYanYG/qd2WyCUxEc1Jj5mHcevbeLLUe9QsOkeB3SNhT2HqxB07feYnf25VEg6LWgzGr6cNwSSPqFwTRHRLcT/pk8UW1cZHMyYVHuPbsMKo4AlUncHVrhXNmqd/0lkXRSgc7z82n71Bz1hFkTJ4AHsNqWDtlrGsvZzOiw1ieUE+xPan/omNTHAagwwA0+tzpMgDP+71C8wUnkTVVQhwbIiNjPz4H2D8GyFcPaLfeqC7fZH9O0s6UPAFOxrKX7cv3X0zhktuTpbwqztFr45YVU1vqxRs3f2v5o72+R1mUzZUa60/7YeiWy6hRIB3+6BR7Qca5YINWrsZgwUDBlhgJONzeo3IuDK9fEGqGCs+jVmn8rfyg9FaGt1nsAc87Ly16wt5/DorgAWJGDlvBmNX2mavbJzUrjJl7b4B+SyxkeP3evqR4p7JoeTfN3Ut+Rug6FTl0KEsEU5blzN2XAguPCpCoAj3ON56+o/Tw0gGADgKew2sgvQr+ptb+xZTrDgPQYQAafRZ1GYB8Ykye0BkXx9QOm/PRBWBJFcAlKfDLHcCJcKkdIt+BeQd8MXPfjRgBO0ChH/JE6M17efzmY4SE6cVHbmHKrutoXjIzZrU2nqNXadpB3H/50QRhwZAflKy9ygzkR2x4wjjxnHTNkjIhjv8iOzgB2H7xEfr+5aXqHeT1MfcvhwcZv04eqmRcRjk0TGzYH2t0JA/a4iO3QeHUkRZYPhhTkine1Oagily3ifvFJT7UdFlxBgevP7UbvzWNzd7a2W2KYf7Bm8IzyeLiFBd/dHJDxz8knEiSRsUyYZ4CJ1DPHnGeKLXVewjgiA718R5XB4njx9MzVaxt02jecVx++AbLO5UWOYCFRu/Ghy/BZjm6Y8tCHQagwwA0+qzqMgCfvv2EMpNUKuxCQiQ8wI8vHbRwZu4Eh+iSJYiHS2OjF3ag7RIPPH37GXv6V1bFnVMu4d6L96gy/bBIYPceT3jjwJ/H72D8f1dt/mAp51BWZOoB/TX60EdFf/bW0Vxq954ZdqrlT4vlndWx7Wbt9cHcgzfxv3LZMb5JYTSefxyXHoR9yGhsrhT+uXY+9KmeNyqWFuVzcEEFh8LNKcA5k3KqPGXb+y8/oNK0Q0jgHBfXJ9QTlxkmhLx17d21PWh6NoCNdWKBoTw9KnSSC4GDD9kswQSRqOWJ6pmHmXSo7ZC6+dG7qjaUzM7Lj9F77XkxvD35j/XoGx1tlGkmjL9oT+aX6FiXwwB0GIBGnztdBuCnwGAUGGWGteCvdoDPDqDWeKDCT0b1+eb6V51+CHdffEBCZydcmyAZUdEhISFSRS/JqWE1kCF5ROoxpV6+/m9Ra/ZRpEzkDK/Rkud3tcddjPrXG/UKZ8DCDsZz9JiGixP3GUC5TI5U2NgrfN5cdOybrXMyQwf1V4Mm0QNtwrlvnB+m/JDR2PbGZbR1vZHZT+8aeb/als6KX1uopyeoPdPMuBIO5srggvhekReb8lr3XfUXI1K0larqe1fNjQWHb5lmqZo/LVaYOQhYUqXHqrPYGzq2Gt+wWl8+fNA1Bng3uNwY3Z3yHSmKxTiJykNnjFbegnIOA9BhABp9dnUZgDRJ/pG78DkoBMd/qYYsKWWE4yfnA3tHAPnqAu02GNXnm+ovL6KgsCvBDkSXyI14vaTxVx6+QcN5x0XyuudwiQaQc/SoknHZ98Zz9IqM2YO3n4Nw6OeqAhpjr/cT9Fh9DiWypcDW3kRvHTulyvRDuPfig0n5y2NrI2mCsBQJPaF0zrds7ZYF01oWE4n78g8ZDc7eMTIo7IHLGBN3W6+Xc63nPYzYekVU2Zp7Ni89eC2owOQ5uQM3XMAWGR+1PfaA7//mXuVABtfGsw9EDrVz3Li4/fw9GhTJKCgQWcIhLFihAPMaUxctDykPu+LEHYzdLmFUruvujvK5v00OaV4vH8LpXrjlSAX+998/lEOp7Kms2O2Y1dRhADoMQKNPpG4DUEkJZpr44TlgaXUgQQpgyB0gbkRKK6NKxtb+5+69RIuFHib1oxN3inDPCP+M5PDPVZEjTWLNbVUr/tFDy6U5sKyBEpLj0PWn6LzijCpzgjXjRndLlPP5AAAgAElEQVRbt4n78PxdWOK/MtSmp5paaSSqfbjsjcsY3fumNr8aBZ5auz3eT9Bz9TnBWU20bmriefsF2iw5hVxpE+PgoKqiyS+bL2HD2fAcy0b3gd+XxM9L0D3T9/igZ+Vc8Lr/WlQcEzPIlYcBSJogHt5+CkLJbCmwxYYDD1MBkr5dKuTE6Eba2Jx8sKA+jL9pdL0xub+SzzwygL+jY/0OA9BhABp97nQbgMpqTdPEwUHAr9mAwPfADyeB9Max4YwuKqb053Ap68NQKtGhH+dx0tz7B1ZGnnTmcdJYP7WPJefoVciTGmu7hWJC2rggNaDpY77PRHK8Hk5XG6eNkm7sMefJdv1UCQUz0s9NEj2FDUoAZP6Q/ftjBVD1MAkzTtgLlzFKNsfKSahYhopm5BR4akPwgUuOVhAUHIJ4Mp5lNUirkf9cxppTftAbQtWjvtyznS5pfBy4/lTk+VHRDnn+iAGGPN/ZUycSnmI1qjg989SadQS+T9+Jpnqhmbi4iPp8y/iRvH/uk/cL+J3/+lZE4czJVXNp9ex1TGvjMAAdBqDRZ1K3AWgRLHVVE+D2YaD+DKBMd6M6fTP9GQyWF3RpbG0kk4UBo3KhD159MAHP7u5fCQUyhBkj5vRQM8Y4gdweOXpqQNNMbp87bWIcCPXQROU+2WMu+boof/LVh0Bs7FkOZXKGhZuUIM9q8648eRdjtnkLbDrCqCszab8o4iGvkmum5KIL48Dp/fjbY31RPUav1eew2/sJJjQtjI4WYE64aInzbcnIXnfKD9v6VhTpBSS7rzxGrzXnUTpHSmzqVV78jekNLRWPWLNmOtgQ1pwa1Ajfdx6PvJUX7r9G3nRJsG9gFWumEW35UED/rxdKZuw2b6w4eVf0/5arx3kzS03Yhxfvv4jit/wZkqLVopM4czeMfcjqTY8hHRwGoMMANPoo6jYALVJOHZkGHJoEuDYHWi03qtM307/J7ydw8f5r03rOjayJ1EniR8v6bj17hxozj4i5+SSspQhjGBKf6b99Korm9szRI5DsQqMlVP6r4+sgkUs8nL37Ei0XeQjPyJHB6gwZWnpH9/XXH76YaL4IA/Dq4wAs+58bahZKb1JtyOaLIi9scJ38+LGaeuXmmlP3MPKfK6jjmh6LO7oJTEbCk5NXLyrzBKN77ZExv5zLtU3pbGankOfc0vNU77djwrsmB0hmVqNKedNgdVd3MZYSb9HoGj4HBSP/SPWiufkHfTFjr0QRSEJ4l+QdtMQIY0kfZj+hNnqhZH7edBGUykGiN2/Q6J5EZ/+iY/cg4FMQDgyqgtxpk6gCqkenfrbO7TAAHQagrc8O99NtAFoMw9w5BqxsCCTNCAy85uAFDmUccB2zG58CQ0z3SG/1rdGbqtafuWfpGuVHkedBS9hb4pY9JTb/IHlLDvk8ReflZwSbwfa+klFoq8gNpZuT6olQHRnMZDhnTpFQQFTERmFva/x4cYXX75jvc8xqXQzNS0r0bSR6wprKghtlwQyNs/TobUzaeS3Wcydbus8M1KzcQ2Uf8rwRWgEVq5GRXGfOUYF7KYdH4UIROeyKvcPoas8168r3lP9NXjsyxjIkS4BTw61n5cg7YicCg7+K4fRCyfRee07wE5PYykASm36XStw/vQeKmL5GhwHoMACNPqO6DUAlMX24iQM/AlOyAiGBQD8vIFUuo3rF+v4Mnk3hqK/4KgzBo4OrIVtqWQV1FK6SwkyUME6it/pNDZPvuO9zdPjD0y45ek8DPqHM5AMCGoNAeYmRwPvRGzSYexyUN3V6hFR5HNvk+pMA1J1zDKkTuwh2E8r5UkKMMIcvUZsRxZmabKLChM2XwBAhBUbtEs+RvIqbKzpjO3eypXtM+JWnbr/E/HYl0LCoZa5bDonSvg7bclkMK+fZVeZV0nUOo9vLGHr0+iPK/3oQBPh8Y5KENcjCDDD8b2J5WXL0djioJb3PO/EZUxEVS5V8abFSB3j6//48jaM3noluVI1MrCTfsuQbsQtfgkNwcmh1ZEqREGwAj2/iiv+VyxFrl+4wAB0GoNGHV7cBSGTsRMputtJsWS3gwWmg6SKg+HdG9Yr1/Xddfowf1p4Xyfp3n78HVeHuH1gFedIliZa1cUEHTc60a1qKqFX8nrr9Am2XnII9cvTknjKfidKH8ob/W8GRKsce1NIzpl3nYgQKYxO8x/oz9zGoVj70rREG1MxMEZbox/7xeoj+Gy6Aw5V5hu9EkILCShkmjml7YQ99Wiw8iXP3XmFxx1Ko45rB4pBN5h/HxQdv0LR4Jvxz4ZFk5ITmUNL/cwhWjhW44PBNTNvtg1alsmB6q2KGVTbLnASYPNw8ydB6BfDrrutI5OKEq6Fg63oVePX+C0pM2GdqrsY5rTZWy4UnTcDUFfOkwZpuUij8WxTyCuccJuGfnh5RA+mSJgCDZxNPc/fKsddZ4TAAHQag0d+sbgOQjD8yAs0mGu8ZAXjMB0p3AxrMNKpXrO/PYKvkvfF+FIBnbz9DWQkalYukEz+d/EnWdnNHhTza2F/rPP0wfOtl1CqUHkv/5yb60oeYPsi25izJ13z72TtUn3lEVEReHiexpKj9LSr3yR5zcaUp5f9VzJtGeHi6V8qJEQ3CIDrYqCGmiLqF1Y0aOV0cgdjyh0yeS7rxzH0M+fsSKEzfrVIuuGZKhqyposfLbI+9UxtDjQHF3Fwc3iO+3cdvPolmFIanIhyS6Xuu4/dDtyCvmmavIBmNc9qWMLyMyw/eoNH84yAdPBT83w9ffxSFGyzTWhQV9494eW9aiRMqL+yi8fRiZ1Ju5LXHAUIFe6RyGN6wSByAqsCpIIfEa1QtpEzs8s2w5zgMQIcBaPSno9sAVMudCTe591ZgUycgYzGg51GjesX6/uyZobwcMgDpxS+H74jqBcpDTys6l0bV/Ok0VeDwotyDogakqzmQmQY+T96KPC0KlZ4bVUu0UqPqsnX86OpnYjPJmQqV86YRSf9t3LJiasswdor6vx0TxSEUsqPQnZqwF5kqVglyh8N9xMdNvNwkXNTA/W2FE4muvdIzL7NqrOnqLgxqS8LFNfI2udIkxsGfJcw/NVo5U7W1ncKhavBJrI8ckJ3+Rger7qvOisucB6tnT6gNe8u5PR04dv5USbN75WmH4PdSAimXQ+ZodoyFDeT7zWDseirwY8NSHQagwwA0+pzqNgA1yevfPARmFwLiOAHD7gMu2kDDRpWPyf3lnLmXH7wWdHCMRB8derNRQnP/8b0bahQMq0g1p49agQF5DsiDkDZpfJwxmKOn5il58uYTyk45YJNHJDr2VW3ODWf88Mvfl1G9QDqRvzdahTqv+ozDghFCCQ8jH09ecU1eW66Yvja+LhK6OImmZASQgUT5kwQ74uwUBz4T6iEu8c99I8IYpBt6lIV7rtQWV8WpKvJGcg8z5QX+ddoPA2vlQ7/QkDz9m/4u93Qb2ToulDJnjBcZu0eAP5NQPi6DxXMlvN65Gaid2+tNy5CDlMcEjnK967Wl3dtPgSgyVgLAZxzWyTuvCa885V8Or1/QlmFjRB+HAegwAI0+iLoNwCM3noGgYAjMlkKZqjKzIPD2EdBpJ5Aj9tJ4Gd1U6s8h8xYls+Dyw9e44f8uWmmX5J4iS2FH+doZYkTuvbr59C1qzjqKFImccSGUH9jW/VILJz9/9xluE/eLIe9MkQpDYpv8cfwOJvx3FY2LZRJGIOXxKXOtyk05IEKU2/tURJEsEqafUpgVpWiW5FjdxR3FxksfMt9J9eAsAzcm+BPapcJj9wieWc51im37Zk5f9lht6V0eJbOltLgs3ntlIzaa1fK/ONdVjY+XiqdWnbyL4Q0KIo1OCCctrMzqMw/j9rP3QkWiQKw247D4/wujayFFIhfdt40LsrhDlpQJcfwX7cp5LibiftHJUKR7sTY2lOdJsod15l4fzDt4E9+Xy45xTQrbOHL0d3MYgA4D0OhTqNsA9PJ7hWYLTlqG59jQEbi2Dag5DqjY36husbq/vLKQoE0oDKw39BoZC5fDTxCoMIV1tWTWvhuYe8AXHcpmw8SmRURzKmipOuMwksSPhyuheXta45i7zqDPVBhDBTIkbz4EmgydGxPrwSVe7KMW5HtP1b3ES9t15VmQEbctFEuR1sn4bZZYWThvkw5dq7uW0TSMmfFAL8yPrfctqvuxsawHv5Ir10lH8obSAYKqZbkCXw1U2hy7TUjIV9SafQS3nr2PUMVtaQ+06BJbL/YQdHAklM9JlfBqoNFa+7z7yhP0WnMOhDTwMTBYl1ee5sk9XCqKYLHW8NTSKyZdlzMg8YFSrRAoJumsVxeHAegwAPU+K+ba6TYAGUiYuCsvj5US9iPIibnAvlFAgYZA27VGdYvV/ZluiZLNyYtA/1G+D4WZokM4z4nm/q1tcTQpnllTDbXKb05iJ8OMDDQjIjdw2Kv8/nMQXMeEB4c2Mkd09OUQExV+1HbNgFaLPJAjdSIclgFbM1Xc8V+qIUtK9aKNkzefo90yT+RLnwSruriL0DgZNb6T6qsui9l6FrYviXpFtA386NgbW+bkkCUzOVga48TN52i/zFM0oX378CUYD159NEEfqQHac66lkt3m4HV/dFkh5efJsQS11sAUkPUKZ8DCDqUiNP9x7XkBDURCYUkC+CY9rYWJ2nL+AQZuvCgO5fS71BPOlYdECaaG4FH0coNrrTumXKfCDx//tyiYIRmeBHwSkDzy3823gp3pMAAdBqDR35xuA5CqWIngnCJytybVV88xuucBLK8LJEkPDPL5fw0IPfG/q1h2/E44AvgF7UuifjR9mPmlRw/MzFbF0KJUGCixuYeIwpgUUutVJTcIroKEsfsoxez2lAaGnj8uTCGoHCqQIZGzKMiLHQxNFMWdOc9sQM18osKXCl1SJXbB+dBCF/Is5Qr1wlhihyEvEXmLcqVNjJWdy6DStEPC23NtQl3VFbFhMaphIXStmDOKVx150zGTw8FBVZArrWUYJcZgJG3IAPMP+ITzfq+xqENJ1C2cUewn7avcC87PIYGjk/eUpd3SUzh564X450818mJArXy6Frn4yC1M2XUdzUtmxqzWxSP0YSo2J6r8nVRPQLm8/kAwUfo4unnA1afuYdQ/V0Ql7+WHb0DA4wynZE5ReY4tYW0+evMpWovTdG2olY14/yc1K4xKedKi8vTwvxs20OsXyYAF7SMa6FZOF23NHQagwwA0+vDpNgB1fZgFIHQWICQI6H8FSJHVqH6xtv/of69glcc99KueR3yAjt98DkuYb5G9UDkF1dQWRWCJUot1ka9hYO384s/ynBqjuUPyKlfmZdVrHEX2fhkZv99fXth28RFGNigoQu3lpkgeCPKYUkhSjQJPbT55jiSlDwjIHAseeD50dKuYEyMbhkHOGFlLTOhbcNRuEeKUA2Cb00ueQ9qnWh74Pn2LPd7+mNDEFR3L5QBDyvzZyQ3VC0jeeM5vJgidHf2k/GYGJOd5rKFMm73vBn5TpE7I9eXfIt9LDt3rCXHLx1l05JbAEKycL60J2Fkrb5YjOeQtJFDk60/eWqxEjwn331odmOquZ+VcaF06q6DAlP9uGDqJaPj+6FTa2uFjTHuHAegwAI0+jLoNQJpIjYkgggJLqgKPvICWfwKFWxjVL9b2/2XzJWw4ex8/184nsPMO+TzDtJZF0doteoxiTnymDaWTcXv37Jp7O/TvSwLEmNbQp7oEYqxWVac5kJkG5nKvKEfJlpwoW/Wwd78uK87g4PWnIEObmCs4pM2FCC/efUap0EIXYkAxV7Erp8Vb3rm0AMiWQ+Yo9eYCiG+N3UENANvcPaPnJs+InaIYhg5cZ++9xJpTfuhbPQ8G1c6PWrOOwPdp+IKsk7eeo91SKdS+d4CUiyrny6V/mwXAV1FEngIgx37kppyPyziBXOTy9w/lUSq75SIX+XSz9vpg7sGbggZwq9dDcclnYl3EjydViKuJHMaJWImIYWXudyVEwdK3Ij1WncXeq/4C65HycJUeeH7vxHYQbIcB6DAAjf5mrTIAy0zaj6dvP2NHv4pwzaReuYgdPwNnlgLl+gB1JhnVL9b2l1cb0keIvBB6Da/IWDQT3tPY4xq74vvy2hRIAzdcwBavhxhevwB6VM4t1JLjalERCBWD2CpKqjMeh/Pj9Hh8bJ07MvtxmJGoy8gYIyBauUGrxoCips+Vh2/QcN5xpE8WH398X9r0/57D1Sny2KOqFxA4MvfAXmPLPcIUQqdQupZw0cjOfpWw/5o/qJiJmT8qTj0ocgK39i6PEqEVxWfvvkTLRR7ImSaxqMolYbBkDq+2d8+GSc2kQigtGfnPZWF0EswMwc0o5cA1f1EYxMVPNWcdAbGHENh3udyWYW7kYzGmIRmnf564Iy5dGlsbyRJIGJFqIi+8ItgYuXdUa12x5TpTB9I971A2u/jdyKklmeOc8DU58hBb1ibX02EAOgxAo8+tVQagrheV11rg395A9opA5x1G9Yu1/ZlvkoytM3df4r9LjzGmUSF0rhA9uVmcd0QbqjdHrM+68xH0llcRMrK+rTfJHLh44TF7QNAm9DGmj3JsEwZ55qpvrvjdN6Ay8qZPCr1QOgyUnSaJC5Z9X1pwOVPC/4mh6lAf7DHMkCwBTg2vEdu2TVVfNSBfrYURPMrt5+8Ezytj/HG4jwtKdvevhAIZ6PUXRs8m39uq0w8J7E6C8SFvrlkGJBVlBm68gC3nH4q8WcqfVQoVOlH1LhUIdSybHQ3mHrMJJYA99EQzOHPfDTHN2ZE1LcLVsPFZLEtysX6OUrCHX2tvY8N1/v2RZ5QOusrfjRxeSV6ZHxvW5jAAw9+l2AcSFrOeMqsMwOYLToh8NjknJ1Er+b38iN/aFJdCWf5XgYXlAJckwND7QFz9MB502n/+/rPga4zt0m3lGey/9hRESn/mzssInrSoXh8XJtC8w+oVQE+VD5NSJw6lKD2XOYftsAvenBrTCOmgNJiieq+Mzldl+iHckwF/87839SqH0jlSwRJVmHxuOacsgXcrvVRKPRnyggq1KN9QjhVodE3R1d9oygEXeDAMj+vo3Xj/JRhHBldF9tTS4eLqowDUnxse3Jzz8qiQg4w5CpFSqFSP/LDmHHZdeYLxTVyFEaolau9VrT50ve9fXiCA/tENCwmazs9BIeJwQIasOeHwZ/ncqVE4c3IBiPyt5Yyyl5eKPMg7Sr8b4uU+ElqFz9X1+dMnxZ4BlfVsdYxs4/AAOjyARh9MqwzATstP47DPM0xvWRSt3LIKzxZBXJAQjhuFNBAcBPyaFQj8APx4Bkirr3KOxpiy6xoWH7kdrYDJRjeU+3f8wxPHfJ9jVutiouqQcukG18mPH6vlsdcUVo3DXgnqpFcPvt/K3EWiJCNstZNDq4tEcltlydFbmLzzOpqXyIxZbcKqJananKrOKYRXKJPkpYlNUmrCPrx4/wXsZSIPBMEALelYSnh9TNW9MooytfXJMReX/K+UyFPLmy4J9oViJir70AEq/6hdCAz+CkvwMrFpL1++/yJgUkhsKTrinDfyinoMqy4w8EIILHt4DaRLJh001TyyzNbB4dU6rumxuKPEh60lDDXD70mt9hyynPddCTSyIhdPnms6ccc1wS6iVSnNHtGaBdML7uDpe3zQqlQWTG9VTEvNWHOdq8bJe9u9Ui58t/QU5Cwp5+69FOwrcqMw1ixOpqjDAHQYgEafW6sMQK5upBBilwo50HbJKXiGApoSjhsB1gr5ow5w/xTQbDFQrK1uHTl3Su/JWffA0dBQngfmefslCLLBXE5QVKj347rzIDo4EjkNlqW52y87hRM3X0TADVTzotiyBjWmERqn/JQDAp5iW58KKJolhS1DR2sfZQ6j/ENN1ddcdarF3SrnRV7S0Q3/02LiAVBp2kHcf/kR7G2M1o2ww+QE4+I++QAIMoUMQGvl8ZuPogo7Xtw4Ari8wKjdYgjmhaX/v/fiPapMP4zELk7wHi9B7HDhCf1WKIdQjSXEnC6tF3ng9N3wUDOW9FbDJtSzzjaLPcT7l3JNx267CqqADvceVhlk2bHbIGOxafFMcMuRCiP/uWI3Cjw9Okd2GzoE5Q4tAqqQJ7UIwXf84zQKZEiK3f0lbx/n1sb2VAmHAegwAI3+nqwyADm5mTCxKJTV4Q8JcJUk3Md69zDg1ALAvRdQb6puHYkS6c7z9wI+o1ulXLr7xcSG7PUh8OdTt18IPD1roCTsvSYinN931V8MS9A0DOtiaZ5Wi07izN1XUAILFxu3F28+Em5ZqNfXRmWZaYTyoCY0DaNksrUq0kY17NotMDgEeUfsEmMyw8KgjRfx9/kH+KVuAfEMMIMDVXxS5ac5Ycw2gpChtAsCJabcrX9ljCLKvnzw0Av2bdfFR8JgciP4+gTrgcfJU00eaxI57ZqcTu/R648CLJiAkW9Mqie829yH4GNG/esNCpmu615W1wobzjuGKw8DsLxTaVQrkE6zj7lUC62O8nnIkCMwaC0WGDlDEa2pzzovlMmZSnBSfwtC7yV6P5G4ZU8pIi6dV5yBnJfZ1/8tas0+ipSJnOFlkM4yOvfMYQA6DECjz59VBqCc3cLr/mtQ0jlLOAiDSxuBLd2BrO5AV+nHqEcKjd4tEPGtQd3XM250tOEqwpVdyoAq7wizKzpzbch7RMwbJL2r5saQuhKwsyVp8vsJcY+X/c8NNWUMJsTVq8fboDU+YZjRvighNpgrdX2PsiibS39VpNZ8UXH99YcvKD5eClmykTFpx1UsPXbHRD7/j9dDVX5gpX4Mvk5/J/5mKhzQMhq5+txcAUJU7IE957j97J0m/qHWfCXG78WrD4EC7468bUo2Ffk+E45ewKcgkxFBYVnKtdPad7kOXCy3rrs7yudOo6Ue1IqtNDsBqD7jMG4/fy+Mt6FbLgl+4Q09ysLdwm+G0QCIpYbwA8k7Fttz4eR7xQcG+hsZff2q50WP1ecgB/n2e/FBgEMncnHC1VCPr579jmltHAagwwA0+kxaZQAy8CjhVxGRPbESJI7vhOfvvoR/8Tz3Bea7AfESAsMeAE7aUCFU9UnVnyTEoPBTTQl3LrZKjZmHBYcoQTt43Hou8Lr+Vy47xkcT+TjnGdF+9qicC8PrF9TcWjZiV3UpIz4WLAyzsb1PRRTJYgYOSHN0QI1phLrVmX1UUDmt6eqOinm1P6A6poqyJvwBkrMyLDh8E9N2+5gqSeV5WMu+N59XJgfdJo/eT+svwD1nKmyw4K3hQ1psJ7rnG8aV0JbwD7VuLj9P7M1TgmkHfApE0bHSQZWo2YiVg2j3KGxMHnylB0lrPg7Db+ldHiVDoWYs9WEPsbVGuxxAevDmS7j2OADK36py3hFbL2Otpx/618yLGgXSo9H844jtoVD5GuUA3pQvS+wtvdeehxzyxWhagdb9j6rrDgPQYQAafdasMgDXefph+NbLpjkpnEUl9YQmH+5jHRIC/JoN+PIW6HUCyBAW3jOnMJ/06fqP1XJjcB1tD5XRxUdmf/lHgKrOZuy9ge/KZMWU5kUjc1qzYzNPLDXQC2rLRqzSE8chWr0fOHNKEY2VyI1UhKQZFoPAj6vl1w6hRcuGmpn0hv9bAdgsp35j4F+GIvnz+B2M/++qSPif1zATcOsg4HcSSJgSyFgMyFkVSJwacsNkWouiGPL3JVTKmwaru7qbXTLTgxHnNBkvsV3ska/VYZmnYOIhDzzRM8ox4Wh/iDuWsBpJCNro1YcvktcxfjwRemc+ZgaJ1tpTa5k96J1K71ZrD74Ml0Rcvv03XNDFNy7HJ63jmkF4whI4x4Ut4XWtfYiO64xzSHNnS5UIg2rnEwencrlS468eUghf7qUnKr54TvqRKqJjTebmdBiADgPQ6PNolQH436VHImeEhF6Ox36pJvIARb6L8mO9oiFw9xjQeD5QsqOmnpQnR0UlJHo9VJqDRmMDBs0meiciqCdu0BYls2Bm6+iptmNsLNoSvZ5Ic7l4HKLVCjdpbb8a0wj1kedPkiETm0TOtHBymITFt8f7CXquPieqLrf2rgAqfpm15yqWZtmN6i/+Ar6GhF9iguRA3V/xsWBrFAz1ihOe5Jht3qiWPy2Wdy5jdksY502e8xSb9k+p63m/V2i+4CSypkqIY0PU8Q+11scV8FQUQEVNatWfcpYjyiNj8GDi71bCiGjNxzBGerl9GaPTmoPv168SnzQxnpweUQN913mZCkKIfcaccC4wQTtRO86X02IQ0VpzTLnOvzXShwx9yrsdtOliuIPTxy/BKDhaKgbyHlcHiQ2A2Ufnuh0GoMMANPr8WWUAUg4Z5ZKRUAihf818YM8SQ1yYFNo7Ejg5D3DrCjScpakn41NRQ6LwGdvYVbNPTG4g/wgcvfE8zOOjE0vM3mvjvCQat517NkzWwWpQdvIBPAn4BCVHKYfU1nZzR4U8todo+6/3wj8XHoVjGiH9zBWf2HtPImM8hniRs0owXFKO1IlweHA1LPrvOEqdHoDScSXwXuH1y1UV+PwWuHsceC79PSR/AxS42Bpf4CywG+kQoeXZY0w7uQcyMtYZVWN63n6BNktOIVfaxDg4SGLpsFY2nr2PIZsvgWBKCQJGXhHKY8mhe959ChJGH92ved+VtDpMag13Mc3P8FfW5AjL+aTJiPlh7XmR4zuzVTG0KJXF7BbJK/vrFs6A/CMlQ0iLQcTaPY+u9swuRPMnT+gs3i2//H1ZAHr/Gcr7awu7THStx9K8DgPQYQAafS6tMgAZmJaqp44OqYakCZzBkAd0Uq5fJGOYPpc2AVu66S4EYXgCawwUo4uPzP78ETg6uBqO+j4TcAt1XTNgUcdSkTmt2bE5JE0NWrtlwbSW2p5Iwl8jHLY9/Ssjf4akprFN1YcGQ7QmnMEWRQVpO8t3S07B43ZE+Jlo2TgLk5IXJg6hLsuED0lyI4N/N8kSxMOlYeRgKzIAACAASURBVBXwZE5VZPjoi09OiZGg2XygcPOwEQhH02MecGgyEPwF24LL4afAH/FTzfyYs99XUMv93r6kWa3kPMOxObzFCyRWD4oyqBltep8HyqV0m7Rf0PGRyAsCeAy5t5uYOhhyh3IvlSF9rXmZy1qONWipj7lqeEt9uHCFHr9bk+qj55pzosqfDnZ0wDMncu86pSSQF5Hk3MiaSJ0kvtbSYvx15sMmRSm0PbJBIfHurV0oPZbIUiIY5ufUsBrIkDx2Eg84DECHAWj0B2mVAUiTkYudvBv50ksGQbulp3DylsrH+ul1YIE74JxYKgTRYARhAnUa0xraJaMbEFn9+SNALxgyCih/i3PAImtOS+NySJraELvBrNZhwMvm+hUZswdvVSjZ7BWi5SpjpfeYQbS1vBnRsY88587Lj0HsKsQOUUVWIEMfYQqzyY0MBjOOgxDcKrYecX3+w7OvybDDbTk6NVLn9RV5gWtbASFBWBpUH88rjBYg6U2KZ8Jvbc0zUpDx4hoaNr42vi4SujhF5zYZnptpu4iTd3vfijaPx54vGkCeD8YD1p1zVOQyUxEFIRFQxXXJbCnE76TqjPAYgZaUkOcTMgyQltLm8DAt9bv17B1qzDxiwi7UW0lca9YR+D59ZwLb/xYMIfk+zd53A78d8BV/IuN4TMNCGLv9KhoUzYjf24UdnBhxQs4Io3WfYtp1hwHoMACNPpNWG4DKCc2CmJInY0pmIOgT0Pc8kDoiJ6Z8LA4H0t+0PnJGFx3Z/ZVJ5YdvPMWADeHzUCJbB+X4HJKmv+ultWLGDyW9FHt9lfiA1q5JSZHG/ZXAydaOGxXt+XkloFmq3mQhai6CDSmbKxXW95Cw1cjzlGfETvSJuwWDnDcjEM5o83kEWjVrge/KmPfW4OIGYGsPMcZfuX7FsKvZNPNI5Rh2F8fUFmGw2Cyc00XG2JbeFWxeChfH0ADycCAP2HLhSZy99wqLOpTEx8Bg8XutmCcNprcqagKSvqkDiNoWA1wOzjzHgnEvX/yGM34itMm4kHoriSv8elDgBf77YwUUy5oC1oarbb4BUdRRznlOUxKkGFXgE/C1fG8ZGoj5uaNIPbtO4zAAY4cBSDGikVTbQHmpAK4RGxcACSxMXfT2SUXUrgCaAaAY2kMA1iAoGzYAmfP21+ZF0Fb5MVtSDXh0Hmi1AnAlFc0Lh/2oBXE4LmgfPaFSe/xClfk5RJ9HTBxaEB72mNvcGPyip+taYURqo0wyl/Mzm/X6WrmAMEDpysiTLizE3HP1Wezx9sfEpoXRoWx2K0eNmuZsBHeukANjGoXlq3IOEnkFCXeOpcm4FdgUMhAucYIxI0E/zH9dFqu7lkGlvGHwOmqaLxvdEd3ibsObeGlQ8d2vaFgmv8VKcrpvOYdJYb2zI2siTSwP63HhmdHfDvEkE6MIFU2oPf+MkzmjVTEBBE2VuZRvObVFUauo6GyhrlvtcVeATdcrnAELO+h77zF4NFcO660kVhaoMG2aFoVc1PyqjM8ip7yk0QjzdMHhWxGiStZWahvXzP4jOAzA2GEA9gEwjtA3CGaKahyohgJAIQB3zDwWevrQl+MkAKrK+BPAfQCEmiuR8+oTwwYgE58TxlZHJfH5tn7A+ZVApUFAjdEWNWLIEWpUs2A6LPu+tL4VxMBWSpiBg9efCjBSo14MI0vlkDSNocyHURtXzmhxcXRtJE8U5knij6WREC17xeiDrDRUmLZubKNC6FQhp5FlR1pf9qQoC2rY0xSOO/brV5yZWBWlgy/gVaYqKH//B3wMDAHBd+RIk9iijm5jtmPT10HIGdcfq4Nq4obbuHCsKWqd847YKfiAY3N+E69rq9cDu3nPubhIrRq/99pz2Hn5CYiGkgxAokujSATl1FkTUpezt/hO0kddx948vSkin4OCUWL8PhGqZizOcdu9sfzEXU2Qd342iBc5Y/KE4OIXZZ5vpP1wInngbivPYv81ifGIhPAwV3rciwDBZS1WYySrbdPwDgMwdhiABJy3BoCcE+0SgK0Axpi583r6LAfwkQ45Nj09UifDBiCFuyjsNZr4gSsqPtanlwI7fwby1gHab7SoJpOvUyMCHaZcnNgqDDRKVYe3pzTAIZ+n6Lw8PB1RVK5NHpKmefV8aCyFsix6fXUuTO4pkdNyUXcOr46oXxDdK1vj0NY5ucFmtJ/5R+0WoV2lMcHhvHBpDN7/AJu+x+evzthZ5R8M2PtG5CcR6HD8eJZz9ChUVeDTBfzlMklovbTAMnRv28riCr6lsN7GM/dF/qxa2Nba28jGJHGZd1W8q37edBGbzz0QIcPg4K+YuU/C7STgdiW1n6V51XiFtfTUywzD4xzzfSYYPNImjQ/PYTUQN24cMKsOrYvWpyZq6QHmKv21dI6p15kKkfWj3yfRMCrpJs1hnMbUdanp5TAAY74BSOVFH8jpAmC/7CYuIJxKAA1VbqyePlSuRTxsKwEQKmwOAHTsoXHnWvEQGzYA2eVOMBU9qyjy/PxOAX/WAZJmAgZR5Ftd5LhM1EKeP2XFWmJMUyV/KQFBE5hsdFEuyY052iQ9BrYlsNReq89ht/cT4YmiF6stwknshCd5eVydcEPIP8a9q+axZfhI7UM5VOQBJGlYNCPmy5LLIyT0BwcC80oCr/3wW1BzPCzeHxvPPgCx6XiE4gRaUpaLd1al/AOVPx7AreRlkXuAxJhjTjisd2BQFeROmyRS9yKyB19z6p6o4gznUTUw6eM3H0HpDE50OpOJHIuPioUXHr4FCu/TwZa85/Q3PVW9akDgWuruuvxYwLjI2Sos9WFvXxu3rJjaUgKW5+KHDmWzYWLTIqrd5cwyXCH+LXjC5IvlYh7+Gz03lE6iTNWQU3XKi7i07pXadfLIPnr9SRRHRqU4DMCYbwBmBvAg1EiTAPQkmUCMVwDU3Fx6+tAvnLyIvwPYAuAlOXYIUoqINMhRYOZBJMNRXutPiVcP3rx5g2TJyBa0Xn7ZfAkbzt7H4Dr5BfF2OCFcsymhmFSDbwGJ1THj+NTMfa3h3bRe48jvwbAflIBPifiMA5crTWIc/Nk2LDMjWstf/DQOAeKu7WaZ2P5pwCeUmXxAYKeRF1Mu7PUd06gQOtsYoj137yVaLPRQBfgdtuUS/jp9HwNr5UO/GjGPEpCx/mhPahZMDzmd28y9Ppgnp/278BfwTy+8dUqJ0u9nIUeGNKLaVO/Hnin8CiZ4ju1f+yNenBCg6z4gq3kPudvEfYKecXf/SiiQwbbftZHnzZ59l5+4g3Hbr0YwtO05B401fc91/H7olsAgJVlx8q6Jkcgaj+rlB28EbqBeA5/mYvBuLuiwtDbK8aSq5HsvPgh+aMLyI2G6wValsmB6K3WIpwevPqDi1EOQ0xTaC9Td3vfD1vE4NYP7UyEPscAoyQXshWRA83DEYlufCiiaJYWtqlvdz2EAxh4DkDJ7z8vusB4D0FIfwkM4FprzR8YfC4WF89E33szTNFYt7GzEAJRzSxIwdASZWwJ4eRvo+A+Qu5qqWmwg8UWjkA9W/5Ls3IH5KClEc2ZETUHRRC+czCkSgipqo1o4L4nn1ZNQr8Zpy/0HbriALV4PIwA4W7Mu/ugVzZIc2/qEh/cY/e8VrPKISBFnzfiR2ZZDiTSHkppt0o6rWHrsjvTBqZsfWFAWeO6DQ1l/RGffCiYw4mYlMmN2G20onik7r2Hx0dtiOdPiLUbreEeA3DWAjnTuUxd7cTVH5h7qHXvJ0VuYvPM6mpfIjFk69kvvuMp27LklAypunDjhDrXmipXU5uKDjRrbiDndrME6ZMpMF6e4OD+6FpKEslgw/p2lCn817yR7zIyCutu67/bux9BVPC7BMdH7l4pBhtQNq9bnUDFBwxBEjBFhXNRpLYuitVsYnqmRMfX0dRiAMd8A5HBuLTroyW4qhWopdhbetSI10NOH/P4XAZB75KZs3OGU9wogv5kHyO4eQE0ao43/A67+C9SaAFTop6rWjkuPRZUsixHQVz0/nMhu4+X3Cs0WnESWlAlx/JfqYHYGJQdpZOvB4/u9+CA4P1n0eFj5Q5M0QTxcHhs+RDtk80URxlT1+upcFOVbUahXLRw9fvtV/HniDohrmqicYpqwsUB6lcmZCht7SnAvJOGM16w3gA0dgPjJsdx9O8btpWCAJEr+Y3NrlNMvZo3jjyPxf0ZcBFv0AtqLqzkm7LstGHm26L3y5F1BtUcVwpRTJ89r5jD8jn4V4ZopucXhOd0jX/ok0MsdzAdgOXuMuUl2X3kiMAoJwoWgXFg4VG4JbF6NVs9eoO627Lm9+1BOLoXrSVIndsGL91+QJ10SUESGIgkUUWBhrNHZbYqhWQnzzCl6dKw24zDuPH+PqM5ZdhiAMd8ApOfnCoBNoZXA/DwRoe6OUHgYtWdMq48LgBcAfgnN++Mx1hFNL4BGeh5cexSBsMejZ+VcGFa/YMRpj04HDk4EirQGWqhHpjnMQx4zQrg3Qvukc92R2ox5jXkdN5++Rc1ZR5EikTMujKZ00KgVX/+3qDX7qGlS5cdDTZvrTwJQd84xpEnigrMj6fwSJppeXx3L42IJNY8Fe726V8qJEQ3UE9p1TBFpTQgA+q/TfmJ85V6ajOPa+fDjze7AIy+g0s/YlLwTBm+mrA1JpinYT8wpqzTed+dYjwJPtkmwSgSvpCKc4G6UqznSNtCKgfXktlkxnNmmcvgeZ6c42H/tKaY0LyJwGq3Jk7MFuPri/dcgUHQ9EQI+OClhhlh/S1zRap5Gs1Se9tjUKB5DnrdM+dY+/m9FKP7xm08YVCsf+srSSbquOIMD159CFb7MSr35gKD0Mlo5jNXNHQZg7DAAye1FJXztAfgQ1SmAUQAKAyDI8v+FwrhQDt+R0KdAqw81ozAytetLTD6hOYWUA0jjHNf5NBkuApm2+7rAWVIm2Zrmv7EHWNcaSFsQ+PGUqlpcwcbuevac6VxDjGumpAOzpTLQnou68vCNILdncc2UDDv6VbI4xaUHr9F4/gnVXCb2+vaplgc/1zHnbLa8As65IpiGcU3opxAm8nysmMgJzTA4pLHSW93vLy9su/gIv1UKRpMzHQGn+MDAqzjgF4yuK8+aFrmumzvK6+BRppyv4uP34c3HQNF3dpW4aObZFogbDxjgDSSVcsDkwmG9NV3dUTGv7VzN9nwGbR2L3y9dKuTE6EaRdxiQF2I4O8UNx27EBvVf3cuiXG5C2jIv7KFzy54Sm38or2vZlg5bygH4sKxktmAu9fK5U2Ndd/X83t/2+2L2/hsokyMVNvaSvNa2hkIJJmrqrutImdglYu63rlXbvxEflhI6O6FQpmQ4d+8VKILx9lOQiCRQRIGF4csI9ud/SvgyK1VzHb0b778E6+ZYt3J4s80dBmDsMACp3IzgXroDIOw+KocdQqxqoXeWcAEpd48S5A6H/k2rDzWLC2AggJ6hINA07lDZuHqeM8MGoCaPZcAjYFZBII4TMPwR4ByRd5Eriami8r9Lj5E+WXx4DjdDkaVnVdHcZv9Vf3RbddbkHaLKw3JTDoLydm5Mqhfl2tGLsMVCgoyURE+I3VIuk8nrWyUXhtVT8frqWCF7EX+qkRcDZKEZ6spen/bu2TCpmXpFo44pIq1JzVlHRFiJRFnYwwC9+/NsQp4HW4GibYDmS8DhN1bq2JBqyJoqkS4dOVxFjcUH62oP4L4nUHU4UJWCAOGl0bzjuPzwDZZ3Ko1qBQh7PvaKPZ41Pas/cuMZiNWoYMZkgkPWy+81mKKw/m/HcPVxgAD21qoY1WOIKfWh8CGFEdUq4pVt5x3wFRA1bUtnxa8tpApgEjY8zaV30CGQvH2EDynH7+ywzFMUScxpUxxNS1D9obbQoWT41ivCC05wRj4T6sElHn2Oolf4oJshWQLkTpcYJ26+MOXcjmxQEN0qhUFKceGG8u/WriAk5KuJTzmqCQwcBmDsMACtfaaisr1hA3D+QV/M2BvxhWRaBCH9TssFfHwJ9DgMZIrIY8ofOKLVWnTkFlImcoZXNIRK7bXxnNPIJ+3n7z7DbaKEAnRnSn3EobdmFMrJW8/RbqmnacbcaRPjwCDL1cjcJ2+6JNg3sEo4bafuvi5gMox4ZX5cex47Lj+GGthzVOV92XIL6ONXaPQeQRdGogzbkXfw/I17uJC4L+IFfwQ67wKyl8fd5+9F9SYJVVb7TKwH8jTpEfaCUVsRlkzgCWzpBiTNCPS/DDiFp3trvuAEzvu9xuKOpVDHNaKHUM+cMaUNe5v7Vs+DQbVt8zbrWQsfeLKlSoRELk6iUps9qNaESTeevY8hmy/BUihWqQ/DCpERdWOi5QMic6Yr0yPUsEYDPgViz5UnAq9y2fE74tBCOYILO5Q0vYM6Lz+NQz7PML1lUbTSWcDAhTm8jphCOSjPv8ySMhEIgJ9F+Z6xRx4zjS2H2FLjmNbz7NnaxmEAOgxAW58d7mfYACSDjUK4auj6JuVWNgbuHAEazwNKUsQ7vHDIithEiBKJKtuuKLDhjC40Kvsr2QvoRVx07F6hAr3go/q0zB8H3oMcqRPh8GD1imxuwx6RQhmTYedP4cPFs/b6YK4c6sSGzbVEJ7f4yC1M2XUdzUtmxqzW2pWyNkxvcxc5gDUNQsnm50aF5Ui2WeyB3H6bMNn5DyBNPuDH04KVnkK4VE1KoifXS67g7iuP0WuNVCQlPtTF0wGzXYH3z4DWq4BCTcKth3TwvPMS9qhwtHmj7NSRKc4iGxLo2uMAEDYc5bwmcokHv5cf8PcP5UEeNd7Ped+VQKNimSyujJlgLBVjKAew5oDI+adMAcdjqR3Y2MjhNpRjTYwfqRJTCrkk7LEmxhNitdGSR4SBOfWgoNRj0YOPqDWuPa7z74TC77TWXVeemIZV0kqO/Ocy1pzyg1oEwhpdGC6L+pD3eJfiXWnNWNa2dRiADgPQ2mdG2d6wAajKfKCcZc8IwGM+UKYHUH96BJ25anF+uxLos84r2kKlRjeT+68/7YehWy6bGDc+BQajwKjd4rL3uDpIHArdYI/5CJOO5hveoKBZ3tc93k/Qc/U5AX5L3gA9Bsi+q/7ovuosKC/zH1m1IenMYShiSpjSPCwMZc16GIh1RefSqJo/fJhSD6SFNXPZsy3jvPGYysMKJfNP8P8RRePeAWpPAsoTq6PErZxnxC6x/3pgeOQ6y4GnTaG6A+OBYzOBvLWB9lRjFibsUbcmrGfPPbLnWIM3XcSmcw8i5HDZcw4aSw7eniS+M8go29mvksgls4b6kJ/dcEwwGsq+/RSIIqEHRGKHSeBsnh3GHPMSp3mQB/PokGp48yEQZSbvx+egEAFVRNh/FGFxy0H08WHCnvhxjV3xfSgGoiV1uWI5a6qEePHui6CjOzq4GrKl1pfOYO/7Jh9PzhpDGKxbvR6aLk9tUQRtSocZuIw0QHsytJ7tSAMcvqeJrMF+tMc+OAxAhwFo9DkybACu8riL0f96w2L+w8UNwNYeQLZyQBfJEJJL6Un7RfXv6q5lBMURSXSESo1uJvfnPWFydzk8gdeoWiJx2l7CJ/hJzQqjvbs6KwcVJVBxAidEU47MqeFUK2RelGFseUsK/1IYuGWpLJhhBnRWa33lpxzAozefBJQFVdLKRbl/WmNF5XXOtaI8Vf+Az6CKUTnna6+Zq7DobV+ExHVG3EE+QOKwogFKAyDDwqK3XGUxZDxSX4K1MHn1nt8E5peScmtpniSUXiwJh/WiGpcsMu6DvXK1tHSTe3apiIBC/MzVTAchOhCZ85JR1XrqJC7oUTm3LkBmpS7EJJF/pPRevDS2NpIlCB/Sl7fvtPw0Dvs8g/Lecv4b50+vOHEHY7dfFfm+5JUyl3Zi7f7KK4npnU3PZEzhEWZnRNPimYQRvf7MfdPWKXnL7ZHGQoPLC+zoubk2oa7Wo2a36w4D0GEAGn2YDBuA6zz9QGGaWoXSY+n/3NT18b8KLCwHuCQFhvoBccPnPjF4JyGpU+UpiZIf1uhCo7K//EU0p62U80j4VGQI2jtcwuEp4jA1R5vG0BFk+D0J+KQK7aLcH0v8pGrrs3Z/mV1BzXvAz5SSZcPaOSKjPXt4qNry5C1CYgJuTa5vohZbPakrOgZuxqtsdZCyS3j+69qzj+CG/zv0r5kXqqDpFhQe+vclwWn6X99KyJ+BkJ6I76c68PAcUG8a4E61YJLoORRExt5Expi9157DzstPpOIXg9WalvSTe+m5Hf9W+6w7L4rT1Jhvnr79hDKTDoj77zuxHn474Cv+s0TJptSDDPycwyT8utMjagiqOnPScuFJnL33Cgvbl0S9ImEAxnKoKTpkEoQTwaBo7Rt7WC29P+S6yFlLiG2GvNNqh7jIeBa0xmQWHkIWIFnpcc/U5be2xdGkeFiRi73ghTxvv0CbJWHoFloeXK01WHPdYQA6DEBrnhe1toYNQMafqpo/LVZ0NkNPRXyokzMDwZ+Bfl5AqrBqLHlojE7cnChv71Cp0Y2ypj8XMbR2y4JpLSVapgKjduFTYAiO/1INlKBsL2kw9xi8HwVEQLqXj7/W8x5GbL0i8BVvP3uvC49QHk75s1PpcOrKQXN/b1/S6qXIP7ZqHg9dz5TVs9qnA4eO6ANPOUQk18bXRUIXJ4rz4sG4/MgCf/hVm49sVTqGm7T9slOiMtEW8FmqNiQ4i+SJZN4hz8XAriFA5lJAd4mbmIRA1cmDq1ZgY59diLpRuq08i/3X/E2YfJE1M72H8o7YhSAi/Q2Vy2NrI2kCZ1jiO5fTWF4dXwdzD9wUhWxdK+bEqIb6YWvyj9wlwrVa74c6s48Kw04J8cMhbPJCrenmLqr+qZqZ0BQoHGpOrM2x3Hn5MXqvPS+gZJ6//yzeJ+t7lEXZXJbhcSLrvsnHHfPvFWH0UcHQl6AQE4MOtVnQviTqywxmtXe0LToevO6PLivC4J1ODauBDMnNG/C2zGGuj8MAdBiARp8nwwagJU9ROOUWVwEeXwBarwYKNTZdoh9qvpG7xL/p5Fpiwj7x/xdG10KKRPYLlRrdKGv6q0HjFBm7R3zADw6qglxpk1gznMW2VaYfEryganh63PHP43cw/r+rINq1Sw/e6Cqy4WR2IlNf3DG8Z5cNytqF0mOJOa+vBa2Zmo68JkRKrwxP6X6m7LaL+gfqtfocdns/ER/3Cf9dDf+skjduaXV8+Bofj7pfRp4s6cMNfPbuS1H5TAwqVGhgWN49A2bmB74GA33OAWkkLu4BGy6I/CejEBeG9bPDAATNQgVJlGpAKQeRKUXH7kHApyDTFPRsxnOKCy68UCtE8XnyFnXmSCDrZ0fWxIJDt2xisQmjm6si2CvMCXPdUl4u5eeyyLm7KcWA8ib1pGhYW2UtL3CjsDkdPtXyeCPzPpkbm597YuSgvEoqVGNhSB/+t67cdR2LIMYYystkiUr+bYcB6DAAdTyiFpsYNgBNuWIKSqwIs/7bB/BaDVQeAlQfYbpMycrFxkvVkRT2pZMwHcLtHSo1ulHW9J+y6xoWH7kdzgvgNnEfKGRi73yZUhP2iTwcSxWzXKldNlcqnLr9UngGrk+wDDfBRiNVPVL1o1xsgbqQ92fgW2UFLbdh+jNriyWsuUe2tm29yAOn70oVtj+t9xIeI9OpP7TYaVtwORTvvyVqEuPXtgJ894b7XXH1p96wnq17ERX9OMVh7nclQKwxZoXKUm8eAO4eA/y9gU9vgKTpgZQ5gIJNgCxuohrbknBeKrWRY3ZaortkwHTqQ+kMi4/ewlpPP6vD/Mwm8V/fiiic2TzdHBupBwZVQW7ZQVL+HiU8wbefgwRFIVEVWpKJ/10VEDE9dWJ6bjjjh1/+voyaBdPh1YdAAba8qEMp1C0c/XBDcnYPeidO30O8C5IoMTHtlWfMBX88jx6wcHv9bhwGoMMANPosGTYAucK0ZLYU2NI7jJsygmIcrspXD2i33nSZvUHxyBs0ub4wAPWEQowuPDL7j9vujeUn7objsi035YCgJNJ6wVurF3lPyYtqyRvHDAA1CqQT9Ee815bmsgTvo4S5QdAXie/ZeysQEgjEiw/krAKU6AA4J4wwjcetF/hu6SmYwyPUArW1do/s2Z7z+NZ2cxe5dsQAcGRwVWRPmRBf5xRGnICH6PFlACYOHYp0yaIgFHRpk4QJmDoP0OesMHI4rKeECrHnPkTVWNVnHhZhxnXd3VE+txlWk2vbgcNTAf/L5tVKlRuoOgwo0tKsISgH+KawKeHbkTA1YbeKOTFSEdalKnxi0yAh78+yY3dAObdK5gmt/WIkBIaeUWtPYWrKJVY7ICtzGNMkITD9GqbcVHPzW1sMwYYTcSYTtJG1INJa+2DkOqdYUL4fFahM3EHcCJJQgWGlvGGFUmzI0jvxD0WKizU6cE4w91nUoSTqFg7LzbRmLGvbOgxAhwFo7TOjbG/YAOQcCAovbutT0bw+904Cy+sBybIAA71N7ZQo+JEVKjW6Udb0V+PK1fOCt2YOaiuvHrREAcVAwuTNo5AFiVaVtSWoF/bQkUdxfeWXwI5BwNvHEdVPnA6oMRooGT4Xjmm3zNFlcaK55jNl7YbZob3cU0PwIBQG2zugMvJ99gb+rIOArwlR+vNCnB7T0GLulR1UkYb4FABMzw0EfwF6ewLpCsAeVH1208/gQEyzpZo6EfQZ2DkYOL9SmsUlCVC4OZCxOJA4DfDuKXD/NHD9PyDwg9Qma1mg8VwgbURQaYLwIV5eEjmkhyXcy2O+z0zIBVt6l8eKE3cFFeDohoXQpWJO3avng4UlikA56LAp7zR0BjkjBf2JOIwJNFxLNJmcFAMsPXobk3ZeQ/MSmUH4psSZbA8+XS099Vxvtegkztwlj2RJPHv3BaP+uWLqpvTMRTjE6plApc3cA76gPWRh/mgbh7Oqm8MAdBiAVj0wKo0NG4D8AtSkF/v4CpiaQ1Jh6H0gAU0NeD96gwZzv/NGTgAAIABJREFUjyNd0vg4PaImOKRp71Cp0Y2ypv/Pmy4KL4A8BMfeBXsmTMuhKywZSxzmIfoohkaQV66qrU1eUafk6mUP3Yi0x9H97UJCuQOSpAdKdQZSZJU+vGf/BN6EwjBUGwFUHmzyvGhV+cppuaISWFXrHpMHJv+o3cLjSsn6rRZ5CK/u9j4VUeTqDODkXGwNroABgT/CZ2JdxI9nHs9Nay6rrnMYuPpIsc8m+rTKuTCsvm1UfVbNH0mN5fh4VGARLm/yw0tgXRvgAcFGxQEq/CT9l0gl5Pn5HeC5SMJNJEOQDMUm8wHXZuE0Zw8S/ZEKpg6GsuVYYqZh2kfqQ15h8pDt8faHEnhYa4v00Pdp5c7mG7ELX4JDxFR6aOuoHTM56cX0lLenfElKAVKrjtZab2Rcbzz/uMhxpnDvs3efBSMLy+Ze5cJhIOpOXdJQlNN9uFlUpl04DECHAWj0d2TYAORwHiUu71dQhkVQbmZB4O0joOs+IKtUMazknI2sUKnRjbKmP2HukReACgWoGpCEgY+VoQhrxlW2ZfJz5QdL2Y5OwlTUQdRtf564Iy5rwRVYCnuRh+7cmlEY4rxBmqpUJwmKhEK/LBQWPjodODpN+kv5fkDtCeJ/+YPaqlQWTFfBEbREQ2dkv4z2/fglGAVHS3htxFTTcO4x3H3xAeLjsr028MIXvb/0w66vZXF7chRS/p1fBWzrC2QsBvQ8Cvb4GqHqM7pX9ujP0CaEX3l5bJ2wIQM/AaubAn4eQILkQIs/gLxhbCxm537zENjaU8oTJKk0CKg+ynQwYbw/uuSaKRl29JMYcNjrRfhyDOvEc7A3XLT7nxuoQIpw+qyhVqO+7L1SwrvI18L7IQ9Py68znBbt17mRtXQxDjHrjl5sSj4YdiqfA+8+B9kU7rbHs6E2BjNKkSFOeJs/rb9gaqYsmmGge8IgJRgbW4UZRbh/zyg8dDkMQIcBaOtzy/0MG4BKA86iQqubA7cOAI1+k4wGAHJg0d39KyMyQqVGN8na/j1XnxVegAlNC6NjWQmTqsn847j44A3++N4NNQqGrw61dnxuz95T+jd7UNXG+mXzJWw4e1/AI8wLrYzTgtnhPMbeVXNjSN3wSPmXjmxF4YOdETfOV0Dh3Ysw/6mFwO6h0p/pQ12kJczxmXJfZhvImSYxDv1smbPY1r2zpZ88X5UKlsioJ87YLa3SouT2Wvga1xlFPixEkHMSzSIbW+Y32+f9c2BGXuBriOAGnn3mk8Cio2ePnsHYKhxdCMdHHRIMbOoEXNsGxE8OdNkFpHfVv8TgIODgBODEHKmPWxeg/gwgrpOpepr+XDpHSmzqVV40sQR2//e5Bxi06aJoR7ln60/fh8ftF9AsWlFozOwtliCCvPxeodmCk8iSMiGO/1I9wpq50EzNUDW3Qday7vBvlwyd91+C7EKnpv/mWW5ZbcZhUEoRHcioCITYj1iUuddHbzwTDC9G6du48piMcsqJlEN/2Wtd5sZxGIAOA9DoM2bYAKScGcqd0UMvBqaEc+8F1JsqdN/r/QQ9Vp9DiWwpsLV3BURGqNToJlnb38TE0KIoWpfOKrrL81PslSQsByElAvur49VR6BntnxLTKemb5OLo2uEx5RSLVMtjFE0CHiPw9/Jw/vwS/znXQcMR4cGOVffq0GTgyFQgfjKg13EM3v9awFQQHMqP1SToErlcuP8aTfU+U9beHAPtuXqZ+GLPjqxlMur3lb2IvBem4kOWyih0s5cunEUDaqh3Xd4AuHccqDMF8z/Wwoy9N0Ah/19b2EbVZ3f9bBiQ8SCJymx1V3dphCPTgEOTACcXoMMWIGd4nmrd05xbAWzvL6UvFG0DNF2EEf96iwpeksr50mJVFylKYalggCGRqB3lf1HqB1XGLu5YCnVc9VfGdlt5RjOfjo0Wc+k2DAllTSHCao+7gn+dWYu09o+x9vpVzyPYUpYeu4Oo9HpZ0o8hcohQgNJjOi0/Y2quTCk6dfsF2i4xX4imtQ98nUHXiTP96uMAy4QIegfV2c5hADoMQJ2Pitlmhg1A9kIR+faZETUt6+O1Fvi3N5CzMvD9dtH23wsPhaueixg4VEovX3oJx0aRV6Mx+ny7pacEc4S1ngFL6+diCW5jLq/vhzXnBDE6sQIQbR/JuZE1kTqJLGSrmIgZAsIZaQS1sboZcPsQroVkQ/+kM7BnsCw0Z05Z8rqsqA/c9wSyuqOH0wTsvf7cLLUWFwYldnGCtxmjNjqeC/5ocH4YQ8KczzILqZ6fxaPy41H+YB7oodqzu/6nFgG7fwGylcfi3PMxZdd1i9BAdp8/EgbkfDMTnt0jL2BZTSAkSBhsKP6dsVmvbAG2dJfGK90dU9AFi49JKRJ1XTNgUcdS4v+5YKBinjQCZFkuDJdEf6OUD2p75WEAlncujWoKjmtLyuoB75aDMG/sVS7CcHT94oPXGFw7v8Av1CMMY6KXdYcYaSiPmN4LVHlMEQVLGKR6dLBXGznUFhmAhDTAooTNOe/3Cs0XnARxGh8bEtGbqlcnftcTExaFlQkgW+3e6B3PmnYOA9BhAFrzvKi1NWwA+vq/Ra3ZR5EykTO8RkuwCWbl4XlgaTUgcVpgsATSKceVWvZ96UgJlRrdJGv7q9E1RQagLRvPrB/BVqih/jM+FhGiD996RVDSEUREegswJaocodf+Aza0R4hTfNT8MAmfk+fGiaE6X56v7gGLKgKfA7AgWX9Me1omAp0Vr4NCKQSMS6KVq2jtvTHSnotfGPKIwnaXfe/AK8EPiIMQXGp5DI3X3EeO1IlweHA1I1NZ3/e1HzCnCBAnLtZUPoyRex5ADcPR+oGjrwfnV/Wplgc/V88OLKkCPLsOFGoKtFqhieunS/PLm4G/uwlP4Kms3dHWV7pvVOU6q01x8f+WDC/mxaZ2P9fOh38vPILv03eWYWtUFGO2kaH1CqBXldyqqvO7snqBdFCy8+haq0ojDmFXyZdWFI5oiRxknOC6CGsvKsOelvTjHEhKG3n94YsIl7MoKSeV3Mla6zZ3nSIVFLGgnMgVJ+8iXLoCFekHBgte4sgQhwHoMACNPleGDUAljItFhb68lyjhKOzy801BYL/8xB2M234VDYtmxPx2JXUlQxtddGT352q0Pzu5oXoBKd+PE8ztCRPAbB28npNDqyNTioi4ex2WeZrwuob8fUlUsZLhRmF7cxKBg5UgN353B17dwdPifVHmVDkw8bzu/fRYAOwZhudxUqHSxxlY2bOaKlAtVdsSvmFg8FdNPXXPbYeGyg8whe2S+vyN2S4LgfRFcLzmP+jwhyfyp0+KPQMq22FGK4f4vSzw7BqOFpuG/3lm0R3Ws3KWKGvONHAil/b9SqmKl6CFep8CEtuReuz0UmDnz2JdYwK/x8rgOmjnnk14qEnk/Lf/KqCumFOW2v1QNbeoivV7+QGW8PzUNlAPdqO92Cvk81OxGhWtWYKRkrfn98KEJq74EvxVsOEQQDdFNiJbiHeYwOPNGVSMiUrvwdcfAlF/bmixDwDlu5EdFykSOeOCluPCwsJqzToiDH5i3SHcQXkkjFJGiNu+c4UcGFbP/tX4DgPQYQAa/c0ZNgAfvPqAilMPIX68uPCZaJldQij7W3FhRIgQcM7KWHD4Jqbt9gFXhHKoVEnebXShUdlfja/zx7XnBQ2YFjm7NXrKvQ/UT+DRpU8aYQgOVVKFIUHUmMCLUyc2O10EDtaT84C9IwXci2/bo6g1/xxSJXbB+VE6qi95FjIi55cGXt/DjMBWaNZ/Tjg2A7ky7pP3wz/gswSxksU8M4I1+2W0LVdMsneI7mmt6yPQ1OmkqCjdn7Enuq06i2JZkkNpKBidW1f/vaMEFM3dzI1Q9dZ3gq2BvOqxVRgaZXWLjKi0u67EJd5mDVCwkf2XxLmFAH760htpy3c0gT5bgrr6ddd1wf1LQl4g8hI/CbAe8J05psmIpFxdNWFjs717NkwKNU6NbgRjcsqLXiyNydGEaS2KIjAkRHCM20oJaY3uVAFde/ZRcaBe9n14akoahw6NOYftFENSesvrj4GoMfOIaYrTI2ogXdIwYHZGULCUO61HP847pLzLXmvOw9kpDm5MlOgt/zrtJ2gEOb9dz3jWtHEYgA4D0JrnRa2tYQPQP+AT3CcfEIjzlIOmKX+1A3x2SLAh7j2hxJvrtPy0gFGICu5PTV1tbMDVaHIqJtWQqo3jc7fpe67j90PSx4fEnNdBXoFMIRzC71LmxChVoQo5Sjqf2aoYWrgmA+YUlui1Gs/H7azNUH3mEUSA59CxnqCLmxBvaze8+5oAIX28kCytOr0X54LGFJ5RWhqzJtCJfkwjVwxafx7DrzVG6jhvgU47sSMgFyiXi+i36N5Hudw5BqxsiM8uKVEgYB4q5UtvKmSIcl3sMGHpSfsFo4OX6yakvLUVyFFJOjhqULrZNPXXr7i9pi9y3VqNwK9O2OY6Gy1afy+GYraPXGkS46CiKp1Bt6kdhUIpD4wo0vYNqIy8Kocxc7rpYeQgbxtV7eqlbdOzD4xjqBcOhaMJdEAPCv4qKqDDFenomdSGNitO3MHY7VfNsgfJQfEvj60tKnLJMcFCPPMpE4dxyysZqGxQSXRhDmc6qDaaf1z8jSCiksSPZ3JuqD03ts4n7+cwAB0GoNHnyLABKAcjJuyzuHEt823iwATg2AwJBqbRb1ByUXKolMIvFIaJjcKnQsKXohcrSWTws3JFHu+ROfBXxsda09Vd8NcSRIIW0HbbJR6CN1gUrbzbDOwbBaTJJ8Jv919/RqVph5DQ2QnXJqhXHpu7b49fv8ezWRVQNO4dfK08GHEIvFhF+EMzq3UxNC+ZJUY8BnSap1M9U6zNW7MJfW92wxenxHAZfg9/X/AXH0R5BWmUKh4cCEzLJfIsm3wej0Q53fFXj7JRqoK9JgsMDhFpAEVwC9vij5KG7XEEyCTl5UWGHLz2GAHrugiP7henRHDptltgK1pCOuBngvShNJaD15/iw5dgwQucLXUi3WoyXaM89KzszHBO5qrndU8ma8ig63LcQ0vjyNEMiJKu99rzUVL4MGjjRfx9/gGypUqEo0Mi5tcSK0nRsVLeMHng6N9uE/eblkJGYdIEzqZ/y79bWqD4lvYj74idIlWFQsxVZxw2gcRnSZnIRCFodaRE5410GIAOA1Dno2K2mWEDUP7D08V+IJKuu4pqUHTdCyXcCFfDjWvsiu/LhzKHGF1lFPfnajRisSCcKRJepz35WTlxnJf3e7uSaFA0Ig9l9RmHcfv5e2zqVQ4Utnz69jN29KsI10zmQ6stFp6U4CzaFUGdfbUlqrfG8wWtm5HTMyVfz/99Fha5zAESpgIGeAMuET+UZKhSQv2I+gXRvXKuKL6D6tNx/hM/mweWDEGNR4vhm7Iy8v60XYAAU0iMKgIJFDhaZOP/BC/znKDmOJ65Ozb/IGHZxTZ59Pojyv96EGtdJqNC3CtA0bZA88WRugyq8u645DhWOE9FBSdvid2m235c/5QCdeccA8P/yJWQ/wapOIO85kE6iqyUC2Hu7eYlM2NWa3UjV/n82WMzGHQ9X/ok2DugiuaQcraNr/iKLivOIiooGzmtxlyFPXmKyWNMQjSXBFJdJNQgpL8pi8noeuExe0R7Ja2e5iaENpB7HakAj+j8KG2FMQf50E8+kZuTdDhH9E4c2s5hADoMQCsfmQjNDRuASnYEcn1bFP+rwMJyEibcUD8M3HgRW7weYnj9AuhRObcJjDUmffit3WQ1PmMGVv6xWm4MrqOe42PtPIxBxf0oL4dxB+VjyT2SdGKnZGq5d1JtXs6/2lXZDwVPDwWSZAD6XxJsH4Syz6drLU5h5diHfZ6iy3JPnEg0CBlD/IGGsyUwXoXwflFFJFVGxgRhyIc5bYqjaYnM8JtZFdneemFXtp9Rr8soEZ6jMF20Vt96rQH+/REXQnJhTPr5hlgOonPPCaZj3MJV+Df+aCBuPKCfF5AiciMCXBmaFB9wLO1UpHjrK7zed5tsQdXfL6mmPHBuL+0VQYCcvvtSbJsy5Ki1lxzipAMcHeQiSEgwJixagXgPz6Bj9pfIkuAzQB5fQlQgBhgKj2dxszo8fvbuS7Rc5AG9oOtsiBFnMTHwtVvqGaHyVWut1l6nb4zrmN0gj6M5bxq90+g9x7noVOhGHmSWm5PqhYPGkV/XwkQ1p++r919QYsI+cZnGJ0pTH/+3oEhLxbxpTIV/dP3S2NpIJvNAWrsHau0dBqDDADT6HBk2AIOCQ5BnhPRDuzC6FlIkCsuzUFWOKMImZ5Swt/pfwQ//PRUYdVRV1rFcDkRGmMPoJlnbn6vRiC+WQgEkTK3Wo3IuDLcTPysXzNAJk16Ocuo5uc7skdzdvxJ6rDqnq0qRXvQ3/N/gSvpxSPzGF6g5DqhIwLkQ+TUM00LhFpd4+jDHqC/DTkzIcAwdXy8EUucFfjwNxA0/BmPAxRSICdK9wdxj8H4UivGWPQGCp+aA09dgzCq4AQPb1I1Q0GTtc2OX9m+fADPzi6HaJl+L9QMa2mXYqB6EihPibOyIuk5ngGLfAc0WRboKt5+9E7mtJEubZkStkx2AgIf4nMkdRW//gK/xEojwolwYwJn+RhAgVBFKEoG7WEP7MDw+ReFOwGPgzDLg4l9CF4uSqQRQvi/g2ly3IWgt6HrV6YdM9IeU7mMPLD2tG8uYfdSOHAyUY6cUvnecl0xFIbmH7xTvRRLlQZWu5xq+EwRtqiwQ0dKHr99/+UGkwrDR2WaxBzzvvMS870qIQyCHy6n9sSHVkDWV/pQAPTo4DECHAajnObHUxrABKK++IiBoKoPXlFC4CrTbhE4nUoTjzmTsr59q5MWAWvk0h4ppDeT7IX+xzNjjg/mHbopKwbGNraCusrBADsdQWIQqD82Fl+UeSarupXDwhh5l4Z7LPJQGhY0zvPTEOpfJgEtSYKC3xLsK4MOXIBQaLYVPrP3QLTl6C5N3Xkfboinx6702Il8N7TYC+cK/1Nd5+oGgMWJSJSt7Urf2Lo8SH04C69vhbkh6LCi6CdNaFsOsfTcwNwZQsL2fUwaJX/tgYsLBGPmLeo5lTPvdKPXZsucAmns0l/7c2xNIF/le4KcBn1Bm8gExpaBsTPUC+LMu8PkN9gWXxA+B/eE7pbGo8GThXFX6d5okknecROlx0tpvBps2FVS8eybB3pxbDgR9Et0DkATHgwuhUOlqyJEjj+QZJfzHR+cBn91SlTRJvrpA43lAknRa04KB/C1RScoHYa52Knqgwj+CWqF1nx2pQQKgqYn5BkzFRy3osKk0wunvYSw9YboUHLVbsJVQZa7vpIgFivlH7gJhGcoP6tao6fPkLerMOSqgac6NqoVeq89ht3eYM4MhYmjMyEAzcBiADgPQmudVra1hA1C8b0bswpfgkAhYS2aV29QZ8N4ivEqtvd1FlR3nr1nioDW62KjoHy60IANmJsOADARLSd7W6se5fcWzphBgpN0r5cSIBoUiDMMeScL+I5q6G/7vQCGc8nnSmJ2SjJ1f3k9DYycPwK0r0HCWqS0l6OcN9fqaA582NzB7QrtVzImRzmsBj/lA/gbAd+vCddnj/URwedLaiMg9JgjlDFHuEAHN5vQcA5xZilVBtXCu8Aj81raEyctr7j5E1RqebBqIDN5/YEe8mmgw8u+omtau81ya3w5Fn+/AteSVUXCAxBoU2SLPC1vX3R3lc6cB7h7H1zUtECfoE7YHl0XtUdsR3yUsyiH38pChQQUBuhERZAtiOBb37Mmwwc0HODBeqronoXxp916o/G9C+L0NMeWYhdsP4oMmPMPjsyVDMFEaoN0GKSxsQRgPT2+hQskJ+wTNGkFOOTvFBSEeJI0fD5dVvHL2ul/MSsTjqaWdqBXqFB+/V+ABmitWU0vVsUZnypGmXGlmE+GCoP4186J/zXwiTYYPBKu7lkGlvPZltnIYgA4D0JrnVa2tXQzAQqN3W1f5dmQ6cGiiSOxu/KgjLj14AwZNnrLrGhYfuW3WmDG64Mju//ZToCn5WJ54zJh9jHdoDz0YJoN4PCmM/l2ZrJjSPDz3q9wjSaf0jn+cxrXHAQIexBLVXq2JW/FfYDfEjxMUofpSOSZ5APQKV/MR1tkPhQKBBZRL5AQMuh7OY8G5Seaq/vTOZ692cqNX5Hctrwg890HPLwMQp2AjQRvGVdmCuaKOFIaNDrnt8Q9y7fkeT5AWGcb46g4HRoeuqnO+f46gGQUQ72sgtpRcieaNm0aJaiEhUliQRHh5s6UU/x94fTe+/tUOLnGCEVioOZxbLAGcpIpSzpWVK2gLttzB6/6YuXITZidaiXzBN6ThMhQFao0DclUT99B19G6B4Xn456rIkcYMhiflWBO9nf8VyXPffhOQ3Twk0d3n70X1ql4jjnU4Mriq8MaVm3LQrIfNXjeNUQx4PLW0EzWoHsYSNQdXpVasZ43OSm5mjgDQIX9S08LikEwFQSQcFrZmfK22DgPQYQBqPSNa1+1iADIW0v6BVZAnXRKtOYFQSjF6wdX6MDEcdZISF1B7sJjV4sW7zygVCj8gh8VhFP+mxTNhTlv7oOZziINw6ZafuKtafCCvVKNEZApZyQ1uc7s3bdxPGPJ1BT6lKYwEfU5EaJZn+E7xcjs1rAYyJA8DWNW6G4zzOK1lUbR2ywosrQ48PAfUnijlL4UK5/SYy/nRmsfe1+WFL7eGlYTT7AL4ijgo/mkxSubPieWdy4B5UokSrE/1vPZWQfd41/z8keuPQpLx3ucckCaP7r4xoiF5sfaPFYUsd5v9Jwpuokr4MCuHSaIDT68RYzHfeR6c4wRLIVaionNOKCo/yaMuF120mPIOH1/j8T8jke76GjjF+fp/7F0FcBTZFj1Rgru7hSDBg7s7LO5ui7u7u7u7+6JBgoUAQUIIEsHdHUL0132dN+mZ6ZnpnukJ/Kp5VVu7m3nedt+9554jJMhVGQt4dAHsBRkxkm8kTBsVUzreIMWlbS2AxxcAp4RA+wNAZmmZN93kCVP7LH7uXZzsUXhSbBKEXP1hU2OIfycptfzjT7D183JnYk0k1Ek2vBj8nqnwuKVLjOMDBBWeirO98OTDT4OJI1J0XUrmdjzgFSN/LpY1OeNg3XL5CcYcCADpKi9oWViTZUx9TmlUAG1LZVXSvcm6NgPQZgCavElMVFDFABQnGbilE2hPjJYPD4DFRQGHeCjvuBXPvoSxMB+F+xafDsbck0FoVSILSDbt/61w+gpd3Mlmn8cYe/AO6rinw7I2gsi8JUWcfEMZ1ISrq5wnNTNExEWXpqflqsu4+fQzVrUrhhr500lPIToaQRPc4Wr3DB8qTkPKyr316nHjUym4mXtMNDJ5vmuBI4OA1HmBXj4ab9WXn+EoNOnv0QMOefsd1eadQxIXR/g3+caojD4nzYvCb8aidI6UjG/PGmTf5twjpJrwdnENlHG4C9SZA5ToZk43f6ZNVBSwqDBTixka3h2NO49A6Zwqyr6ZWNW4gwG4+/Iru54U4uSFYBRloq5jffzFsIsMBTIWB5pvQsVVQczIEBdDVCV6Q1MGgv8uQWHnx1v280mH8qg+YA2QWPvZFCdeyaLbCvvJdLvx4IxAZ0Mcikn0KaI47pESyR5Or2t0d8TvHPKCx3d2gNvY46wNJz9W+6a5+fQT0/SlEDWFnqlIZVhLyfVx49wQvpET9hM9lke2FIqnvuf6c6asxHk/Pe+8RvfN15kSEMmaUoIIL2pyN/I+bQagzQBUfNPqNFDFACw17TRLQpANdI2KFDSBI37hH/tFuPkzlYaYmPNhNSmaCXObF7J0fXHenodUEjo74M6kWJLk2Cw/aSkjpRMVG0jEyt9/hx+k5Jx0KVtarLzMqCqWtSmKOu76HwQ2j+fXgTVVEBrthM+9ApAurb6haC5+psz003j5JTSWhubXZyFrlYDu3c4AGQXjmLwuPIRiSONY6Z5ZUv/6k49ostxHwPu47QdubMIj186o7F8NRbMkw75eZWNB4KRdq/JpX8nc6R7cNX8AhjntAtzqAS23Kmn+Z+sGnwS2NsVXJESJ0CU4MriGQbnAuJwov98vtYqHDMc6C/i8hKnR+3cvHPmuHe6XBVt4ew84MgR4IqhH/E6aE53etcCDRMVwZZR+QgX31BlKgpDci9/fgbXVgbd3gUwlgI5HAEdtlgYxlYkpQmTd5C/C1nH5NdkJgAovGtffpuSYSw8+ME/glVFVkTaJdtSBYyiJimdXTyHkzQ+bpHlO+GfdwilttnYtibJG8NCGpsyTUwiCs7xtMYbDbrTUGxmSumBlu+IaZRBqbw1csM0AtBmACh8nveqqGIDlZ53Bs4+/sK9XGRSNwc2YnNiqSsDLm+gXOQiHwotrmPPXXXyESXEoMG5yngorBL0RNCt1QdWc/qSia2qQYoelRazBTKTDJN0mDn/w/jlVAf9wtFp1GT4PPwgKH4WkZdiij42A3ZXlOBhZBuWGH0BKCYxfscknmaKIIf1hqfWRUZdn7HEttnxWb08XIGAP4NENqDtH07TE1FOMtJoTq1q6Z5a05x4G94xJ8V9UH6Zn7V9hFRp4JgJXUdALb1syoAVtyVj4d+ZqQUGDwonDHgEOJvg5LRhP1abbWgJBx7A2ojYmR7SDuRxtqs4J0AD6Gbl7vPfAznYCzg7AvshymB7eGu8gqP4QHczJQQZIld+HCEpI5PmLjgQc4wMVhyIkV0dUW3gZSeM7gRKrdItuxqns9VG0ZXVlwWAt1RuoNU2rqTjxRZcsWXcMXd47Cvm6jT2G0PAoq9Cc0Pj8e0C0KiRbR1m9UlGHAzdfYMBOP5TLlQpbiKMQ0NCwZE2ZAOeG6quH6EUjZG+qUJHr2DctlolJl4qjP2s7eLB3Mi9qYr95nzYD0GYAKrxl9aqrYgDybFSx9q3JiR3oBfhtxbzwplgU2Rj8BLn58hMr4e0gAAAgAElEQVSMPRCAWvnTMWD9/1u5/fwLO/nphoH+u/USfbff1IQLLV1XLO2BM1a1L874uDIlj4+Lw7VPutxwyZE6Ic4MroR2a6/gQvB7GJRYi4pC9Lx8sPv+Cl3DBmPeuJGSBKYcYK3EOBMnyGix78d4fZAwjZAMEoN74uBvQxJ3lu6hkvb7bjxnpOWNskdhwau2LHHlavMbaL7xDsO9Ev5VjnGtZExz6779FopSU0/iRrweSGb3A+h62mQ2qLljqdqOOO/m5wOio1Dl9xw8tcuI4Km1tWhXVB1PQWd6eDEKsXqOQZTvOtjbReN3tBMOR5XEvsjyCEtbBLv7x9AaUZj30yPgySXAfydAes2IwbNR9nut6UDyrBAf6AJ1uAZpmjwpypAxY3QpRBGzvQXY57LLSSCzh6a6roauWC5Nt08pBSCeaXtqUAXkSpNYwY7Kq8qNLDKgPO++YRykUjrm3FNY1S0N1nYU1scpenKmTojTgyvpDcjVjla0LYpaBQxEQ4xMk1N7dSidFRMbFmAHW04+Palhfow7eEfT2hrqQDYD0GYAynuKDNdSxQA0y5V+aTF7gR6OLIk+4f01GJJdvs8wbK8/xA+ypYuMy/Y8VKj7oj4e8Bo9t1xH8azJVZHn4h+EbCkTMNmx6vPPQwp8PvvEfSz1egB+AiUaGK/Ad9AkYehuzmNvYEMdfI1OgOK/l8N/cn24OAlAdHHhH0SO3ZSzx4bC4yBy8Dm5BC8FhamylWPdceWN+S0K4Z8if1YPmHsiJme9hXZvZgKZPHCjxm4tItx/lnmbxlfK2SgL63z+GcbA+Sud5qGmwzUtEm8Lu7Zuc+9FTHP6R9riyP9kENImiScZDrXuJKR7lzrkkke70ejFGO+4EUXtQ7QbknKOnT0Q9l3guhQXSiKpMAzIFHvA1ZUyE3MNUlOvwLfotN4XBTImweG+5ZVvwf6eApl0ajegx3mm6ENFnPl8Y2x1FrkwVJ58+IGKs89CDG8R8wK6ZzIsLal8wkKL+SeDsPB0MNqWyoLjAW8YrYpYYpP3K4Wx7rLBF6fvv5WMjFA7TqRPEJqGhZUnGk04dAcbLj1Gr0o5MayWwFPJaXLalMyCrVeeMkogCluLQ9Pm7oVuO5sBaDMALb2XVDEAuULChk4eqJTHNPkom3TIKWBLEwRHZUT1sNng+BM9QlRLVxjH7S+FvEfrNfrySETzQLqZBBA+2EcwcCwp4g8CGYCcjoEoEsQfj5arfHD54UfMaOyOliWyaOSJpv3jzjgJ9crhQcC1tdgVURHDInpAnMksrmsOgJobx5IYqQO9Ab8tgEdXoO5cNhR5TMlzOqZuXnQt/2f1gDnFw/70m1Dk03Gg3CDcyTeAyT9xkHnthRdkUexYct3ltP3xO4JlTnZ2OIZxTpuBXNWBtnvkNP2zdZaVAd7eQaDHJNS8kAv50ifB0f5mGDtWWAX3Rov53GI9PtEol+AZ6ocdR1mHAGSye689AwdnIG0BwK0u4N6Mefx0iyH6KF7v0K2X6Lf9JkrlSIEd3Q3Tuhhc+s+PwBIP4Od7oNJIoNIITVWe2SuFrRP3JwVvMec9oOTyzDh2H4QLJ95QoroyJGMpxbLAZfoMGc0csjG7aUE0I0YChYVr/YoTPPh9Qnhs38efQI4AShKSq7WsZAo2A9BmACq5X6TqqmIAEvCVALDME5Uvrbw5fX0JzMuLiGh7FIrciDtTGrB2h/1fos+2myiZPQV29jDjRSdvdKvVMnRSl6IpsGQSPKRMHwQKAReMET4X43goa48E0Qk3w7F6/265riW9pzWHyAhgrivw8wPahY2ADwohZJo+gz614Sz3GsJcGYvh5M48aUKriUQYmJ+w/62UE8Qb+CcL5/i7lXQwkv5+BbTdhwdJS6Lq3JjM4Ak1wb1EplRWrL0OHtbLZ/cYR+ONApwTAcOf/N04wNe3gRXlAAdnHKx2Fv0PPoZGFcPaGyaj/4ZLLuLW8y+CQkhe4R0nzrAniMXDdz/Y3+vncsLiOkT6awc4ugApc2p4Aw0NZUqblivjWBRKDNgL7Oks4A773QCSCBhguTg+Dm9Jn9QFPiOrsrbc4DHFKypjiyWr8HcAaagfvf0aj97/gFTW7lKvEMw+EYgWxTNjZlOBC3XQTj+mM2+ITJ5rqU/9pwDalFRO0cINzAn186Fj2exsTA6xIbaAr6ERLEOY+ALlKq0o2SebAWgzAJXcL1J1VTEAORv+8jZFUdtQZqnu6NHRiJyRFQ6/v6Ap5mDPBIGqgqfSSxoJlq42DtobMnKuPPyAFqsuwxAeRenUtl99CmKeJ86ple2KaTjCiOyZEzNrxO1dHBmYnrQ7+2y7gcP+rzCuXj50Lie8tDQl5DSwpTEiXVLA9fNCpnhwV5TJLK5aZ+EF3JVBKC1uY/QjxsLAuYHQz5owMKcEEr/Ule6TWvX777gJXz9/XHLpJxBXj3iK5z/tUW5mrBaoXoazWoMr7IeH9ewQhQfJ+sCe9lSUYa2wu7ipfmK0oAqTryFWph2P6cfuo3GRjJjXonDcjG9ilOYrfPSy53nYlpThimROhhtPP7NeauanZ9K4Aof+6zBWu/bqqKpIo5PlyonkGxfNiHnNzdwTwiOStN2zy0CRdkDDJWwaPMOZKdwYIpgW4RAJdnI2JqnC2rAHrq4xuLore28FvvkmqWIkJcM4cp8/tl99JsmOQOs2+i6UcddJeRAH7fLDvhuxms2ED9zo84SRZgdOrqUqntVmANoMQBm3qdEqqhiAHPyuFEvxY1kVJHx7HWMcB2HKmPFsohZjXSzdEQvbGwrVcEFzWRQRMuaw+vxDTD16D/8UyYj5LQpLqgRsvPQY4w/dgTjzeOBOP+y/+QKj6+RFtwo6YdX/BjDt0S/52qLQjToGMxJpelIeEVPTjuV41FcsYW11wsBbrzzB6P0CseqaDso+qKbmovT3DuuuIlnIfix0XgZkKAp094IubouknygzWkwirHQcterzsN79fBvh8vAEUH0SULa/Wt2r2w95nuflFbjwWm7HtIfZser836UGxD07Yjwqz7AnQmTikaPkKiqUsUrKD0qLMUWlqUfuYvWFR5bTiTy9AqyrIeAT/70EpMkLuRn93iHv0WbNFeRJmxgnBgpky9ZOfOJePOI6pXdrwIuvWN/JA5V1oEZcQYpJTNYT5DC595DzdOpeD65KNKK2G3pWzKn0cmmyjMWUWjxkzTsbXz8fJv53l/2vVuKb4tH0G9gMQJsBaOltpIoBSOnu5Oae26wQmhSTD9Z/u7Ub0gTvwkanFugwehVbC8fQiV8yli4yLttzclBduhfujZNNEmti0ronXqmsXPJaHfR7iYHVXNG/mqBMQcSlNMdhtfKgVyWRQgQR8FIG5rdXeFJ7Eyrud0TqxPFYdrZU4Rl0hGkk/VOiQciXwTgJOH8hG5RKC/IEtjUDEmcABt1lwurEtF8kSzLs7/Vn9YAbLvVGi1dz0NrxDFC6D1BzqlYIkMh5i046yaS6SCYra0oDUl1xdDNyou6b1YOQ/MIEIHcNQRbsbywPvIDNjYD4KYDBgRi07y7zopj7YbbGErtu9MWpe281WFoag5ODE3ULQVYoS5UKpwVROo8ikzzx6Wc4Tg6sgNxptTNqtSQUKyk3VrTmsrMtcO8/QdGk9U5wHldTGf0cx1wwU1IcisExd97gizP332JWk4Jo7qEcR2dqj3iYdWKD/Djo94J5WSniUVOHxF5KQ54bhYagBNy7OKi6K/pVVa7cw6MgYpYCnizG10VzJU8jvSN9RlZB+qTxTS1Z9u82A9BmAMq+WQxUVMUA5NlWM5u4o4WHRGKBgcEfHJyBnDen44JTWZQfLcgc+T7+iGYrfFgogkIS/2+Fe610sTocQJ0yoTOuj61u8bIm/XcX67wfgePjqs49iwfvfmBH91IolUNQTig38wyef/qFLV1KolzuVOxvPCxCIZW+4pceybGRLJtzItxqfQMNV1yDIQJV6ocnl/CFdC6bHePqCydvQ4WHXOhU3CkGM6NVNzwUmJUDCP/BlAt8w7Kwe8Es6guLd1i7gwqzvLDuey/ksn/JvFRwqwNdmb0ik04aJKpVeTomuys44QTDIF1snwKZdtX6u/kAD/UDbmwEinYAGiwCeVvPBb2DueB8k5tjRoVeW68zDBrRe7QvnY31wA91hO8qkzMlDvi9ZH+nDNCp/yhXMTKWUcsNLaXvWMmlEhfhUg9Gt4MeF1B+83vG4yrWP5Zqx8mWxYTzUvtixvYabCL+tlDkghLalrQugnoFtTlMR+2/DYKYiA+7/JBcxS0N1sVQw4gHMnkgNbEQLjW3p2dpFI9REuEYdt6UqNFoj95/D5PMXrZkr2wGoM0AtOT+obaqGIA9N19n3prJChUQrp3aheIXu+GpQ1ZkGevP1nLr2WeQt8WY8WHpoq3Zfr33I+byr1cwPZMD4oXAy5QxJ1d03dQcdTPQeEh2TfviqJYvLbjEE+GT/MfXAOf3GnPgNrZcfspOvHTy1ZTTkwWC2nwNcdVjAZqvNG6Eb/B+xEJSRNVBp/JKeVJjg44Mne4aZIWLdrQB7h9mmYoP8vdhSRZq7ZmpPTX0O9F9lBm7Ez6OPYQqRKycIAVTK8kx6igIWkWne8rEpuI3rjqSJTBMp2HuPJS042G9E/3KIs/GgsDvL0A3LyBj7D2ppD+r1RUlHqHdASBnZdRbfEEI9XX0QGU3mawCVpug0LEUdOL6k08gTzjBOuiARQYIFTmHIanpVprthccffkomOdA7kd6NRiUclewBJYNQUkj+xqjypAMeknpMj9Iokd2wJJoU2bI4RNu9goWeSYn5cy6/BS0KY++N5wY5THlkQ+w15okhNfKlZYlyumXa0XsWQQ0I8kG0NEf7lddEP64++sjenbyQN5fov+hwvr1bKVVlDW0GoM0AVPLIS9VVxQA06dkxMMvj3ldR62R1RMARjmNfs0w50uGss+iC0fCjpYu2ZvuV5x4IAHYdsLZS0XXxHMnQGLH3NlImctbwTemevDlnHr0oGxXJCE6Mmjd9Enby5EWcVTe0piizdllpQTLqn1XwTlhVD+tjaM8uP/wA0hc2hW2k9ROQnv69rWtJlDEkvXRzC3CwN5C+ED63O6URm5elf2qlC0sKCCOnTsUK5wWISpMP9qRZHFN4BiXh/mouOM/+akpRwUrT1OpWK6x3rgdT10CNKUCZvnExvPwxePg3QUpgcBDLVOaesEN9yqJgJkFd40+XEXv9scP3GYbUcEWfKkK48NKD92i9WqB8IsjHmouP2N8JT0aGiNLCM2rFHnveB3mgn378ib3/lkaxrMp1a/XmwrOu7ezRKeFyeL1PbPy5BDTvFDFHq5TnTem6jdXnCYZE1kzQFd0wPG/LKaPEyW08HKt7GOdtdImclc5bSg6Tc53yvghCQwYgHRbMJZw2NC+bAWgzAJXes7r1VTEAzT0Fbr38GI2OlUBCu99Ab18gtasGV5MsgRP8xulLIlm6YGu3X3gqGPNPBaFViSyY3jg2DETqDCWmnoYc0XXdOfLwMf2dlBFIpF5X0aPH5ms4ceeNxgvLMXq6OKoph++yD1WPijkwsnZeYaiPj4BFhYXs1qEhOPM0nHEWMtmzvsY5C8Xruje5Fj58D0Or1ZfRvHhm9K6ci3nJyHty8NZL5imjYhQj9/2dkA2MaEQNuItcM/0QFQ1J/U9rX0vePx1Krizrik6OJ7R4Cun3QhM9mToBeU/4yf/R9DqqZvuZs04tecbnWxjpOsd8mdOf1dr81x+4vkET/mVygWOOIywyium3UiTgbyjjDgZgk88T9KuSC4NqCNq/XvffotMGX/acVM6TGovOCGTQ/avmxkCxd13mAriXj3vxxc3cx5/At98RODO4InKkTiSzRxPVtjYDgj1xLF4t/PulPUzxuHLt2zru6bCsjUBirQtFUWdisb1wuTbyBu++/kwvDM9r8vefmNKFknTIQO1RIacGAiOen8mkNBOLcR19jN2nYq1yzsHJmxIvK1FvESE152JVa49sBqDNALT0XlLFAJQixJQzMSLv9DjZBIXsHwLNNwP5GuDph5+oMNtLi21eTl9/Sx0ORtblriMjgYwFKkq9WQR+7r/Dj7XlFBG69AvijDbCH1LolFjofUZU0aKU4FlqXcplx9iYbDn4LANOjASylQc6HmahLHpx0kdtvYmwLn2wiYOQPk7ENUjJQFOO3GOC6JdGVtVcT5o7cRYSfqqOKaqgNdWA575Avfkodiwzy6w9PqA83NIZTzKx1j1AH/o026ohv/0ToOk6oEATzVBcr5hCc903X0c8onuQkPKy1twM9Vtl7lnGS8c4CV2eAqS9TbrAwx9rpPbiek5640mEf8Xcen+DJ5XPmWfh9qiQAyPrCAen4wGvWJISqfsQN+DM4/fZ3/USrGRuNB0gKIS4tHVR1C0YK00mxpqqCi944gOsr4VwOKJU6GLMaF/VKI8rJ1vmzAO0LK401LFMNkxokF/mSuVXqzH/HILefAfxjZJKFOEspYjhzSF1NhStkTM7sYLK9THVtPTS8487zpLBEsVzZApXnBpmZG039DAj29jQfGwG4P+HAWgHYAyA7gAI0HIPwFAAJ43caErbEPMliUyuBzBAzg0cU0cVA9DcMMCSM8FI7zUQTRwuAJXHMFH0V19+aVQtgqdKkxArWF+cVx2w4yZ7SRFtgRgTQy+M3GOOsSQBKZ4vYxOlDwvxgFHhMkj8A89xJTy0Sy/nNEniYeW5h5JyejzsofXC3tQQeHgWqDkNKN1b81In+aUpjUyD2Tn+kEIcxNVF/3Bj9fKjj0zBQJECyvk5wJnJLHO16uveDD+jhHBa7Yu+y/semniWhoNdNDDonoZAl8bhnjZKWBi6xx9EAOs/IUYHVu2JKOiPhxO3di2JsjmSAzOzCZJk3c8BGczkkVMwvqyqD88BmxoAovAvx8ryj6esfuKgklS4kGPiyuZKiRr50jHKJSp0sKIDltJiiE3hzddQlJx2mh3ogqfUZnyeqhVK/HpxHbPCW6BAy4lGD2ccU9fSIzNmNBHIli31oplaR2zouwx2XH2K3VIMBmbS0RjCa5uaE/0eGh4Jt7HHWVUy8uh+5YWro3Btdmt5SW0G4P+HAdgHwETCBhM8CEDHGCONUiYF0Ih+UdKGeFcuAaC4wKY/YQCam0016/h9RF2YjxFOOwSJpCZr8OH7bxSbcortyN8QSpPzMhDXMZbByIH5Sr1Z/HRL47APeq5U4FmeXISdaw1THUd7O0RERWNF22KoVSCd1hIWnArCglPBsZmKYT8E4yAyTBOG50asXBoODgEgSSQiqKbMYyqkDOPz4APLVuaC6bL2880dYHkZpqLQJuUOeD/5qecVkdWPSpX27NqEpnf74pNTOiQfHajVa7V55xhsgT76kw/ftQrjvznL0CRScM60rc2B4BNAjalAGXq9/AWFkz8XbgM0WsYmxFkAxGTDf8FMIaU0wXG2hImj54wOAFSUJsPx9RlSprj36itIZjBVImdcG2M5g4DWfvptBw70xPPoVLjeyAsNixhmcZjnGcjC3OJnWZePVO1rJaa3oncL6esOqJYbA6qJEtgAloxDODspihhDczLE2CBnDVxvm+qGTK0NRwd7TTPuyeUQmkWng0EZybqwIDnjGKtjMwD/PwzA2wC2AJgpupj0ptgPQGA/1i9y25AH72KM568hJSD+CQNQElcm4+6mcOlTn71Y6zwXSOcO9Lyox60Wz9FBRk9/T5UGSy7C//kXSOF4uLGgNBuMA/pplYtaFWFKA4SToiIOCXHiZ/o70c2QXBMx0IsLeV3neAZBc4oPOgFsaw4kywL09wfs7DQEp0RmS6S2pgrvk4DwRN/BS98quXDpwQf2Yp7XvBAaF5XJEUlgQSIG/vYKC9LNxILHmTGlUQG0LaVcrsnU3OX87rlsAGq8XY/A1LWQp/dOrSZcB5uyqulFbyoZRs54atTRU2jwXgScHAu41gZa71BjCMv7IG3a90FAs41A/kasPx5WLZY1Ofb+W8byMVTqYe3FR8zAb1AoA3sGqYgxcXXdM6D3thvs77OaFmQYWKVFKpGB+uAEzJRscnJQRaXdGq8fHopv03MjcdRXeHssRtm67Q3Wn370Hlaef4juFXJgVEwYfPPlJxh7IAC18qfDinYCLlDNwjG2pwZVBBls670fo1elnJpkOD6W3oFHxiR2X3vGjHZdzlYZTSH2ypKOvbjwpEjOPyiFnZQzhqk6NgPw7zcAXQD8BEDZDIJbSyh03KWjVj2Jiyy3jRNFBAFQ3IEo/s/+KQOQhyiV0h8QJ90lX1+cizdI0Mwc9RKhkaRNKe1aN/VA/A2/85AgfbzoIyYuPKNNzBxvas6UgVpkcixagHQna+RPhzIzzsDJwQ4EMrYjrpeYQnhB8sgSybOe0gfAQsl0vZoUzYS5zQsBR4YAvquB4p0Z5o4KlzTb16sMimbRXoPUfI/efoVeW2+wBBdK2OCFGPhJAeV3RJRy8HqMKsj5lC3Q/kVD6PEWmto4FX+/Pb0y3H/fwI0Co1G06TCtnhsv82Y0OBRS33DpsVVE381Zih6ejPM8uiQVaGzs//DBiice2TsCwx4CNC86KV9+gjEHAmCIusOcvVCjjVh6kavSrDr/ANOOCpJ1dFCihBAqShWR+PyG7r4lGeLkut/W0kc/Pr87an3ZiVepSiN9H+HdK1V4pIcOdoNjEmG4ESWHBsqc6yDWKd5y5QmDtnQrnx2j62pzjoqxgmVyCpynpgpXbTKkFGKs/ZMPP1Bx9lkkcHbQk8vkIV+uCMMx3MQVua1bKVPTkv27zQD8+w3AjACeAyhJ+H3RlZ1MkpEASkhcbbltNsbw+BEiPUqmARgPAP3DC9HNP//y5QuSJDEfYM9DA+1LZ8WkhgVk38CkVPGf33MEJegMx6gwoN9NRCXLzrjVqNwYWx0pEv5ZPjXZi4mpWGD8CXw3kK3HQzxKvFmcaoLPg7IQieevwRJvGFIVocQMsVEoXgMHcjcqnAELWhYBFhYGPj0CWm4D3OoiPDIKecYcY4acXKzi/ddfUWsBQVCF4pYuMe6//kbORJb5S7g4yuhWhF0K2Afs6YR38bPD49NUs7nVlF4/vfpRkfgxKSMS4hdu1D6EoiW1PTCtV19mXk7KjCSi4EKZk+Fg7z+rWkJrEPOnES0QKOGCQv1h34Ae5xnNzh8tV1YBx4ZqEo8I+5cwngO2X3kmmUX/R+dKKoU3X2DATj+Uy5UKW7rS61wb/9awcEZGh0TFXLoPztGpm0XMPUi1C6TD8rbqe9nGbTiCCY/awJ4wrn1vACml+fw4ibyYCseaxqmYZ5PoVGgfFuuEoPl9wUmZldDkcNiMOd5mzsxA3yf6TokLN/iG13JjRP0UFSFoUL70SXBURMll6T1tMwD/fwxAemqF+IBQ5BiAxtoQiKctgMoABMCVPA/gBKmws6UGYCzGwYDGq4E7nRtEN1JPRIpvgUCrHUCe2uA6pldGVUVaHVF0Sx8aa7YPi4iC6xhyykqTAUtxiZmaDw898XqkMlA1bxpG05I/QxIc6RfL8WeqL/qdA58py3BpzaTA4qKAvRMw/BEQLzG4vqmzgz3js5NjtBEgOu+44xqaF1L6IC5E2g8qhqSYjM7350dgdk6mVlA6dDFKFSnINI/jvMTwpX2Ljo83/95HrnTavHSd1l+FV+A7pEoUj5HCigHycT5X0YB8XlpqGluaAiEnNck+f3J+4HOpPgkfC/+LMjNOsz0kA4v49sRepj86z5jBpYwFcQYsedTrLyE0DswmsDYEpZl/MggLTwejdcksmGaGwoip/SPMb8M7/VHZ4RZQfghQdaxkE471FeuIn7r7Bl03XbPKwUdXaWej92PMZVg6/e+MXDk78cI4jU+BjElwuK+y9+jt51/Y9U6f1IVBbXTL808/GYURHcT9n39mB3Zj0pqmrpHU7zYD8O83AHk4l44Ip0UXkULABGiqK3Fh5bRZAKBXjOePd0GuMvriRgBIC+CLRN9W8QDysKJSDUzOZXch5xZkfnEUqDYRKDcAXMf0wrDKyJwigTnPxh9pw9U3KBQaMrWOnvHEKViUhMp5WIhOmh9/hIG8AKSOMMxM7IoWZsf1GnBsmMYLQ5vGiZ2VgvB56Jv6IE1RCuP5PfvMroPZH/MYOphh4d3wJmdzkOZmXJfQSyvh4jkM5yPdUWS0l0ZRhc+Dq+Dw/7eWJqrSdXfbdA0n775hBgMZDqxcnA+cmgC41QNablXapXr1w34Cs7IDEaFAr8vw+50ejZZ6s/4ppPYzLBIEdegoJReo3iwU9UT0RpSlKyZWFxtszYplBmF8qRglOjcyqmSGPgDOQWj2c2RipaSi8evmHix1XgQkyQgMuC0JEeC6vGI5vIvB79F27RXm9T8+oIKiPTVVWUwJRFAXOrzSwVIDXxF1UHTySfZ+JCoqVx0dZUPjcGyla9pE8ByoDFupRLL0W2g43CcIFGC3xtVA0gSE3rK82AzAv98ApKscAIBU2CkTmJebAI7E0MNI3Qmm2hCdjC4dPGUAE8XMdABBOsahobtNFRoYvbCizHu76fJLuPbkEzyLXYHrnYVAodbAP8s15LqnB1dETrVIT2XOyZJqPBQqFRagfjlmSMyjZWo8Dm4mj90R/1dMqonwNrOOB0q+CE31F4tlSoM1jrOFzNAYw5vaEts+fRCI2mJrV/l4FZ79TDx4RIsw9cg9homjsrZDccaTprh4TQfOzcCRyBJYlXY8DsYI0Cvux4IG37Z2ROLg/VgW3RS9Jq7V64lgDAdjNGDpR56VbcGQqjTlH+uJDfKjQxlBuxbPrgJrqwu0K0MfsISfP1KCPIFtzYCkmZmxcTboHTquF/BzvMhNQIqr+Ut98MWyiuT5JVwuFSVhSK01nw6W9HDxpAKxyoWa6x657zb2XQ3BrUR94R1PZlYAACAASURBVBLxDVyST3eMrht9mRKHWI/4+pOPaLLcOnrdnGSebtOH0+qwBJBJh+8yvCXdH+LCufeMkszrLOja449ousIHSg+71I1Sw7fsjDNMBWl3z9LwiNENtvQa2gzA/w8DsB+AqaQRThzAAJoRVRQAAssFA6C0q3UAyI8sHCEBU22k7p0/lgTCs0/ruqfH0jbytUZ5BuXhah9Q4GJfIENRoLsXuMaiUroUSx8oS9sT5QmpYORMnRCnB1fS604pYDoiMgr5xp9goVRSFaEXda40iVAhd2pGraKl5iFz8nwOVV2TY+3rZkDYdy1MGFcyaV48E2Y1lY8T4wTYHE+z/+ZzDNx5i83q2phqLLynuDzzBdZWw5foBGiYYBPODleZAkPGhEJn54PLjxcYlmAiZg3Tp9jkJOjUlVlYRxlzMKcKp/LRIs2NCANmZAEifgG9rwKpBUWLOC9HBgO+azSJR2Kicz6XP8n7KLUfAS++oN7ii1q4W3HSRusSWTSyhf/1KQf3TEJSi5JiiFKF40y5zKOSPuXUHX8wABt9nuBA1r0o/GYv4N4caLJarymP2IjnwfeFNMGvjKomZzjZdTgcJb6TA0hliCcIEQvCynba2r65Rx9FeGQ0Lo+sinRJKYhmuvDQLCetN90itoYm9J0pqayDKafyEiuVKBlPqq7NAPz/MADpmE10L90ApI7x0lEq4YmYi0q8gETgTHg+MuKomGojdT/8MQOQ8ykpzdzjZMYHm6dCoUM1AKeEwKgX7CT98kso/iYtUDkPK8+GJWWAPRIUFkpfGiFvv6HavPMsLLanZxmmkUzeRcJJUQabFCO+qXlyw6xD5neY+K4/4JIsJitUoIvhBs2g6q4gahO5hRu/kxvmR7vS2fDy8y+mRkLhFbM9d1GRiJyRDQ5hX9Eyehp2TOwtdzrq1Pv6ktHRREbboUfG/VjTnR5R7UIUGBRWp2IOnYQ6E9XvxVBGKTbUAx5fEDK+KfM7rgtlBS0sCHx+CrTaCeSpBTF9EZ+OklBeXCzhwbvv7H4WE30TwTk9h8QB2a5UVg3+19y5G6IL4aTemzqXQAVX+oSoW3goe2KxUHS40xlwjA8MCdRkZvPRSMv76uOPWN6mKGrHqPkQByaFvq1BgM7ff1wWdNe1Zwz6oqtQROT6Oc1IHOQRG3P4FSkaQ7Q/FJEhGUhThVPoKOJDNdGpzQD8/zAATd0bf/J3VULAhh5MUwvjou//9SoJ9w15gKgIYEAAKq0OweMPKgqfm5qISr+bIhYlPjwiLM2cIj4uDKtictQLwe/Qbu1V5EmbGJu7lmBawhQOKZEtBa48+ghzPAI8a29Gak+0/LYByFsfaEE0lUJps+YyvEM+YG6zQmhSTCZvX0xbUjuh+fEMZDrBE0N+cgsyucO3tIRTyDHMCG+JQROX6/EamtxESyrc2Q/s7og7UVmx3n0z5jTT94jyjycNM7CaK/pXk280WzI1U225Oo+eIR8TVufE66b6Uf33d4HA0hKAQzwh8cg5IbjXmT6mJIVGGFrKrEyW4O9hAKADDR1MKTkqaGptti26Wf08ee3skErIliqh4q0jqbNhe/1RxS0N1nX00LQXkyEXyKjcs2hqIpzGq0vZbBj7tDPw7j7QYAlQtJ1WU674I4Z0UFiTwpvEN0o4PTWLrneRe4rFmdg03q8wIQmNyp2JNZFQpMphbD4P331HlbnnkDieI25PVKbes+/GcwzadUt2ghuH1phDOWNoDTYD0GYAWvq8qWIAcq+S0mzPwpM88flnuICb2l1NePG03Yvqh5wQ/FbQf5TL6WTpRqjRnhMityieGTObClJJ4qL0hcNPmR7ZkjP+qNyjhQxjOrG+/x6GLV1KSoqcG1vLsduv8O/WGziYZDYKhd0E6swBSpBzWiiVZnsx43tH91IolSOlGttiUR9RPsthf2IES8JwG3pKS9fYoo7lND42AriyHJsiquNdhaka7jNxUw7cp79t7lIC5XOr76GRM1XdOjysp5c4wOXXCOw/8E7c4wAvLQY8xwA5qwLt9rFpi/WzKZkgIjJa8eHDnD1S0kbMx8mVHzjulQ4GlABHXleis6FnR6wMIXccKb44okIhZgEKb3qPqMIyS9UuWjReyY8BZ6YAOasA7UirILZwT6T4vSNWbiKcnhzWALnz5wfmrCkT4NzQyuARFjoA7+oZ63X78jMchSYJSRbBU2vDSaTKYWwsytQtN9PLLOOV66WT7jopHpkqPGuYCPqv69DGmGpr6HebAWgzAM29d3g7VQxAc7igyG1PfHMkWeYzsgrSn+gB3D3IKCrq+hbEnZdfWdYnhdX+XwonADWEzRPLB9FpWVelQ3edpH05Yt9tjaYvZ8Xn9czBSFJmaO9NPrjt0g3xQPJvsVgw8uARCXdYZBT+mgzst/eAZaXwK9oZz7rfg2tGeSSvqtwzqyoBL2+iX1hvlGjQQ1KJhGuhkufTf3wNvSxhVeZhRicG1XkoA3dGZsHbTsovyeNYXYWHoGvNBEr1ZCvj9CIja7uhR0VpDjoztkDVJmLt19sThOvcYqUP88SrlbAiRTUjziC9N6kW4jurT+Adq+ebBdMrJhCooewcgMGBQKLY9y/XuBUnMvwMi0C+cQKa6e6kmkjgHKuJa+kFuBTyHq3XXNGQqxuinBGzL5AqhyEOVN35vPv2Gx5TzZMdVaojTF7KfOMFqiyzMdE6C7AZgDYD0NJnTBUD0BxCzVdffqH09DNMt5b45hzPTQfOzwKKtkejZy0ZhYiUnJqlC7Zme1MfMjKwco0+KptkmWcNc9LmKnPO4uH7H5olmPMiIe6rFRs3YWe8yUCitMJLPiYbVPwiDZwi/yRtzT2lN+bHSdmQIvozAmrsQIEy6oaZDM6dNJKnZwaiI1E2dCEmdagtmcnMrxGF6U8MVJcGw5J9NarOE0Ovg0YrgMKtLBlGWdvQrwL9CxmfIsLhzht8cea+dnapso6tX1tMSnx1dFWkSezCqGvoPUUeIPIEWVrOBr5l2dBifs+nH36iwmwv8EQIS8eQar/i3AMQRZWGxivm4IO6cwGPrpomXCFIjM2md5q1iPs5T1/BTElxqE85cCoeXUJlnizi4kTcpfLfD19+hTPGCSpB48rD2S4SiG9a+Yjq6ykqybgwnKxarciWzQC0GYAybjujVVQxAE/fe4MuG6+hkMyMKJoRYX1IrkqDh7u9B9jbBchcEs0jJrLflUimWboRarTnmV7GuOA4X9WJARWQJx0JsRgucz0DGfM9V1jhtDnUgnBSwVPrwIH+Q0Ghl+jNTcPQ33EfUKAp0DSW2oSHXMzJilMwBcVVL8xoiPKhZxGctxdytyCWozgojy4AG+vhDVKgZOhiRridP4M+/op/tPtUzoUhNf9QVq3EdpD4PBG0U3LC5EY66jwnxwHeC4Ei7YCGS+JgM2OGuHsI2NUOSJkL6HtdMy6X01vRthhqFUgXd/NROFK+cccZRyGnGqm98ALuvfoKtZIzpFgEbj79hH+WXWKhXwoBW6NwsvmGhTNgIakD8TB91nJAJ2IrE0qxySfx4UcYdN9drqOPsajBpRFVkEHFEDWHqxAEZnfPMuD7Q0wIpA3MC09ESRrfCbfGk+qqjBIVibB7x3F5x3QUtw9CArvfQiO6N7OVB0r1AlK7GuxowakgLDgVDCLmnyqTnLvrxms4de8NtKiZZEzVUBWbAWgzAC24fVhTVQxAKZJUUxPjIFqNPuLrAGBFWZaV2jblTlx88MFsTU1TY1vr94ZLvXHLhEeg6tyzePDuB7Z3K4XSOY1j7DiOixsXHHRO8zcnc43akbSc48Y6KGEfCNRfBBTroNkOro3JX7jW2iel/W5cMhEd3s/D2+RFkKY/T5RX2ovC+udnMyzU4ciS6BvRH35jDRO4El9ZqoTxVMU/KZytXnWOR5VSTUDQCWBbcz1DzNIxTbY/2Ae4uVn4uNaKNeQ5G8Dfgjs1tI7iU04y7C2HXnCPPGWBUgKLpYUbe5mSx8fF4YKxd+b+G6b6454xKf7rW87SISTbb/Z5jLEH7zA5w2VtigFfngPz8wtkFIPuAkkysHZc5lI3yYVDU+QcapUsgMvvcWw5P6BmSZEA54fFZuTfefkFdRddRJrE8XB1tAwqmvfBLLkLb4hu10AhjeoSPYBKIwAXfZlUox52A11y5Ri1FF1sBqDNAFTyPEnVVcUA5Hq1udMkwknRyczY5Lh8nIZvLjwUmJaeSX8NyLQLB0IiMKtpQTQvntnSNcZZ+wqzvPD040/s6VkaxQ2QfTZbcQm+jz/J8m7qhpS5FictyFzm/WtBz1Fwa0Eh3NHPD0iRXbM/nIesQaEMWKRDtBpnmygx0MxtxzE8qAUi7RzgMOIpEC+R9aeztRkQ7ImJ4e0QkLk180D8P5WV5x4YVE3Ar8+CLjCigcFBQGLLw5cm94bAT3PdgO+vheQCSjKIKdyzZA6m1eS4KlYoN/MMnn/6hf29yqBIluQs+5WyYEn7mTSgLS3kTSSvInFmEryDCs8eJfoX8jRao3CscbW8abGmQ0xCw9qawLPLQK0ZQKl/2bCca49htpPGJqPwg+/S1kVBhPVqldh5pcGaDh6Q4mKksaQMZ4NzuHMAONhb4D91SYpVP8pjd0QFbB7UBOkSOQBPLwPXNwBBQlYx0uQH2u7RGMG8X5641KtSTgyr5SZryTzJR60Dts0AtBmAsm48I5VUMQDNYVTnPGWDq7uiL+ebW1QU+PgA89LPwaJHGaAmaaalGyWnvfv4E/j2OwLGFEy4RJectXHmfSKBblUiC/gJkuaiS4UgZ35UJ9jnIHKfaI9XdqmRflywVhYoP9V2KpsN4+uTB+DvKNOP3UNbn/rIbP8OaLMXyC3jlG/J1KOigFnZgNAvqP97ChrWqYuu5XNY0mOct+VhPYPG/PJywJvbQLMNQP5/rD+/V7eAlRUErk+if3EUiMEJW5dr9DFQUpgSEl/rT1h/hBrzzyHozXeN1JvahquGJcDFEbcnCLQkujhga6ybG5mkMLShU4yReXk5cHwEkLUs0Okouz6GuPa4xrnaUnW6AgNBb76hxvzz0M2k5fKVhgj4NXvmvxvYF4NppPB203XIP/smfojC+pq6IaeAA72FAwsp1rTdq0WczmmWlFA/cQOfOBMpVC03WcXQNbcZgDYD0NL3gSoGIAGhCRCtBKfSatVl+Dz8gPktCuGfIjF8c9tbAYFHsSt1Pwx7Vgrj6+dDp79ID9TYZodHRmloWm6OrW6Q+274Hn/svPYMQ2q4ok8V45xxhJEkLOSS1kVQr2AG8I86zYMnhii9Ad7uG4E0/stx2L4K6o3TpnngL3Ito1zpAFaoT96sZCcHoYXjWaBMP6DGZCuMIuoyJvP4Z3Q8FPy9Gl7Dqv9faVLTSnhYj7Sjl7ctpr9fR4cBV1cCJboDdWZbdz+p95iQOvLUBVpt04wnznKlZDAXJ/WzXNVanC4PnqGQqLnjSXENmqMfrnR87pnSkn8kou4F7oCdPTAkGL+ckhvk2tvg/QgT/rsLLQ+i0klI1OfGb+OiGTGveWFGsUOZyLq8fbIgSA/OAFubA1HhAgF67dmAgyOKTPLEp5/hODmwAnLragh/egJsaQJ8CBY0krudARILGNVBu/yw78YLjKjthp4yM9fFfIU8k9ySbbIZgDYD0JL7h9qqYgBy17xsDAZ5sGLCKVrhUhKqvzgf3skbos2rFhhVxw3dK/ydtBC6Gy/WrQwxkpxB3qyV5x6ic9nsGFc/n9Hrp6sAIJbM6louO8bUM95eqvNfSysg/rtbGOfQF5PGTtGqoktsa+nNpVZ7Ihr33rcMC52XAekLCdJ11izX1gOHB+BSZD5MTjULx/qXt+ZoVulbN3ymN0gMyTXSugP/XlQ8B8q8nHDoDtqXySaPqmltDeDZFaDeAqB4J814PIOTNKQp8/xvLpz2hR/IOPGzbkjU3DV8/BEGShKjQnQmlOA1cKcf9t98geG13PBvJeu8C3myhS6/HvPYkue2wWJ8dmupkbrjPIh8ndwDJ8YumrsH4nYcJkTRD4qCGCKdJmoriqwUzpwMB3qX1R/67X1gTVUh7Ju/MdBkLWAvKB+ZJNn+8QFYXwt4HwRkLA50PAw4xWcqIMTTOqF+PnRU4KTQTSSyZJ9sBqDNALTk/lHNAOSueZIpIwZ/U4U0bvOMPa4f9rm1A9jfAw8SFkHVD0MxtGYe9K6cy1R3f8XvfA+SJ3DCzXGGM9E4NqtxkYyY16Kw0blzjBHHHHFlEGqk5OSpGST0C6JnZoNddBRq2q3AifHaFCBK8Ilxuen0gh+16SR8XUgKzg4Y9hBIYDno3uAa9vcEbm3HoohGiK405q9R91Cy53uvP8fg3bcMy9N9ewPMpSxHOyEkK5P+gs+BU7foynJJzvHnR2B2TobvZeTTSWMVZgzhupSsNa7qdlp/FV6B7xg2mZ5fCl1TMebxVzK3H78jkH+8wKnHOf/4M6kW16DUfDi/np4BdW424DUFyF0Db+pvRslpp5lRSsapuIj5Tf0n1EASFyclyzZYl0NeOCTFEG+fUVk20r8m4++1v5DdS6HcGPgBDcyJ740m8nx4AKyuAoR+Bgq2BBqvBM/o5fAcuQvmjo99vcqgaBZ5lDOG+rYZgDYDUO59Z6ieKh5AKeyKsYnxUz/JKlHYR8Me//ImsKoSvjsmR4HvS5kWLUlZ/T8UfgrOkSohzgypZHDKXDZPC29joLb7hBP4FhqLKeTZblSdqw8o2pvAY8D2lngQlR6N7BdqcEa8DyUZyorGtbDy9Scf0WS5D87GH4Zs0c8F6TqSsLNSiVpQCPafH6ND2HCM7NcHbun0swCtNLRq3fKMbk2WvVTPi4sBH0I0mrxyB+dJX1Sfc7QZbcuxVwSo73VJq+rF4Pdou/aK2UlNcuesRr1eW6/j6O3XmNQwP+PMU5sAmQ7GukYll8skzxYZaNYo54LegVRNxPyDbBzynC0rCTg441nXAJRfeI3pkt+dVEtvGnyeYpJoS+c6+fBdBnuhECsdeA0pfhiVZTs9GbgwRzjg9LqsCeHyuTVYchH+z79ALG8nOe9H54FNjRgvKJptRLvL6XEh+D3mNS+ExkXlS2ZyGIEa3JE2A9BmAFr6jKliACol4uR8TtlTJYSX2Fgi8t1pAuVAkdAVaFGxCHvw/x/K8YBX6LnlBoplTY69/xrOGOXhClOciUSwmnP0UcYcz4lnX38JRanpp9l2rO/kgcp50ijbmuMjgcvLsCWiKqbadce9ydovciUchcoGtqw2P2BMi7cJre2OAx7dgLpzLOvUUOsYz1hUtB0aJd6Kg4PlKwtYZ0Lm9arLoSbZy6G+wI1NinCVdF82WubNPppUZIX99nYDbu8Cyg0Eqk3Qmsph/5fos+0mSmZPgZ09YuW9zFu1dVtx3BcpljQrnlkvXKvG6DysTAkxFFHJM/aYquoRUnPkiht6ZOb08llSnB0SXlVfhtL/JYOhCAf3CE9umB/tSlOGueVlzIHb2HL5KQZUy40B1VwNav5uv/oUI/fd1scgPr8OrK0meJ6bbQTyN9KbFNc+l6WrThJ5hGVNkBJdEy7FqWdRstgcxIOqSXpuMwBtBqClT5kqBiA3TEjVI0QnPCA1Qe4Fk9QOnu8OfHmKZr/Hwa1kTX0SW0tXbKX2XBvSFBCae7N0uax0p/U1NBwFJwgs9Rwc/zsiEnnGCPQEh/uWg2Jh+OVlGfdVr7B+OGVXRiNqT/1Rlh/RPESJDE4rbZXibrkOa017X6x0ng+kygP0uaq4HzkNIu8cgMPuDrgXlQXX6xyWlH+T08+frmNINktrXn7bgQM9gUweQFdBEstU4XqsFAqke8aQR0jTT1QkMDsX8Osj0OkYkFX7cLTl8hOMORCAmvnTYmU705qqpuZnzd+5QdK/am60LJGZKRk5OdgxQna1ijixhPqsNOcsSOGCQsKWZo0amqPv449otsIHktGLk+MB7wX4nKM+Ct9thXRJXHB5VFW9rmYdv49lZx9ALY47GmDI7luMBofjH8WZyOKwu262MJscZfKvrQ68uAa4NwOarJFcfs/N13H8zmvIMlwpnLy6MnuHejuXRZuvvU17DnVG5WsaVisPelWyDN5kMwBtBqCl7x1VDECxIPij6aY9JlylgIN7tRaxpSkQchKjwrvge4F2fxUfXexHLQp4dx8I/wmkc2eYkqVeIZh9IhDNimXC7GaFDF4XTbg8niNuTxSoHqSKRqjcwV7LUCPSXDK46SWsCGtDOCyS4SJG/9Dl+GiXFI+m19UMLRa7VyKobukNKKc9N04TR3+Hn0sP2DH+ukC9cI6cvkzVeby1H7IFb8Qu1ED9UTusor1qag5q/M7DerqyWVp9U5bjwoIAkd4Sv6JzQpNDU+LHhkuP0aRoJuy98ZzVN5q9++yq8CGOl1TAbjpoa8Xy56ZF8cyY2bSgyfH/ZIWpR+5i9YVH6FEhB1qWyMIyUhPFc0SAkedY6XzFZNPvv4Wx8Liu8oXSPk3V5ywOkt7cp1eAdTUQ4ZwEbl+XIGPKJDg3NJaEmffNIQdFsyTDvl4SiRimJiHxe9/tN0E68+Pq5UPncsK7i6ho6H1wdVRVpEniwv6myRYW46o57IBoh/rdMPiuGLbnFnZdey4fb/7KXzACoyLQPmw4enTujrK55OuTTz96DyvPP0SXctkx1owkPvE22QxAmwFoxmOl1UQVA1BLU3FKbTg7ChlWhgoPpUgmeZwYDfgswbqIWjiXYzA2Won81KyNIyPKcwxw/zDjiGPF0YVxZa1w6YwZ1+3Yx2FknbwGuxcbWkFG9iqWFNYZ18bEJtZQ+5/hkYxyR1G5fxTY0QqRKV2R84UQhns4rY4Gf/ng3XdUnXsOiUUcZIr6t3JlnhDjl24qkn2+AzReDRRsrvqoIVM9kCs8CIdzTUS9tgNU7z+uOuQ4Pde0ieA5MFY2S2t8CvHNLwB8fQ60PwjkMIxd5e0G77rFDD/yysw7GYjwyGgmUWbwfuRhM+IaJM5BnSI2qow9N3G1b8bGmecZiEVnQpi8XptSWVBrAZE2az+fls5TTC5N74AR+25DDl7YknE5tjhtkni4MkqHY1PkwW3xeyw+pfGQvJ+C33xD9fnnkdDZgWGLNbhuCybGOVOn/ePOPItU3MYeQ2h4FC4Mq6yhZuKqNy09MmNGk4JA+C9gcXHhvq4yBqgw1OAsOM6wR8UcGFnb8Htbq4OYb1RwVEZ87eiFYjnkE6lzY/WfIhkx30QSoKmtsxmANgPQ1D1i6ndVDMCfYREaQPSdiTWRMJ72KV93Es1X+ODq44/Mu0dEtVrlxmbgUB+cj3THvHQzpdP6Ta3KGr+TNuy+7sC3l0LvTgkYHQB+fmD/G2bnjClhrZCxej/0MOLalxtqvfLwA1qsuiwdljFnfWS4XlqM34XaI88VAfsXOKUW4jkKvGuczDtrygSSJ3xzhlSzDdfenJd8Lxr/2gsUaQs0XKrmEAh+/hbZVrvByS4S77peQ+pMxnkaVR1c5c749dTD2eqOw/F5FUcAlUeanIWYKmjxmWC8+fob//UpB/dM+jrJrDNOJdJoBVBYO+ucfuaE8GqExExO3sIKy88+AJGlUwIIGYGkgKGE+1TO8Jz6aV3H4rjx5DOWeIWgbaksmNLIXU5zs+pw480gi8O+HoD/DqyMqIvDaXtJStJRAgslxZAmMNdKNmsyokbt110FcfzNbVYITYoJiRYFJ5zAV1FiHP2Na6Z3KJ0VExsWAC7MA05PFAic+/gK72kDZeGpYMw/FcSI9imjV1b59RmfZrojOb7iZemJyFBT/kFRTWUXmwFoMwBl3a9GKqliAIpJkG+NM6yZyudRZvppvPwSCslU+Ge+DLj7KjoF2iRebzSj1tLFy2kf+Pobsn66DJddLYQMMBILJy6zLKWE0Nm7+4j2HAu7EIG/61WBHkjfdJbRrnmYxxiOT4PhypQUB/uooAFKNAYvriO0/nK47RY+1ncn1UQCZ8FY97zzGt03XzfMpSVns6xY5/333ygz4wxKR93ERueZQLIswIDbqo541esgSpxrj/f2KZFq7AMtlRRVB4qDzmSTs19bBxweKFBkEMeZidJ69WVcitHpXnHuIchLtaGTBypJJSR9ew3MzSP0OCQESJRar3cpL4+pOfyp3znhMcmdtS2ZFa1WX0aO1AlxZrBpz6ncOfPoCDEgPP3wAwf8XppH+SR3QCCWYNmQ9z+GMzIkKgNGpF+LPQaS3OotvoCAF1+hliQc510U91d8yinQu4C4OfOmF7Lzpx29h1XnH6J7hRwYVS2LQGBNB/N/VgKFWhrdiXUXH2HS4buoVzA9lrQuKnvXpk4cgtHRqxEZLykcBtySTaPkdf8tOm3wRYGMSXC4r2X8ojYD0GYAyr5hDVRUxQAkOafsI4+yIUjDkrQsDZWwCOIAFDLbfEdXQ+rEOnUptDpDcPdXdNiIc2P1M7csXbTc9jeefsKQ5XtwOP54JIj6AeRrCDRcpqdFe+fFZ+xbNgpjnbYKXeuQ3eqOx6kAVrYrhpr5BWZ53WKU2kDuAng9yq6mPY2KwO8+t5Bnzh32C8kRJY0vcHbt8n2GYXv9UcUtDdZ19FA6QpzUJ6WSg77BCHDpBgfoaxlbOonb28fAPXAxriSoiJLDDlna3R9tz8N6JsnZ3wUCS0sIUIYRzwBHZ6Pzrr/4Im6/+ALyUK27+BgXQ2KpMIio/NrjT/jw4zfyZ0iK3kl9mDcfGYoC3b0k++XRgGVtiqKOu3o6stbY/J2+TzF87232jBAGksiAi2dNbtAgMmcOmy8/wdgDAaAEOVKOuPbkk0YJyJz+5LTheGNKNrk/WYKMO/QLombmgH10BAalW4d5PZtIdjvuYAA2+TxBxzLZMKGB5VKSXGN4TfviqJZPCLPyEPmhPmVRMJNAi8NxqX0q58KQJKeBEyOB5NmAPtf1ua+H3QAAIABJREFUMKe6EzfXI1dg7BHstRuGPPbPhRAzhZpllFvPPjPPcfqkLvAZqZ9MI6MLTRWbAWgzAJXcL1J1VTEAqWNDQuG6g3LiVwJPkxyOVGZb5Ow8cPjxGs0iJmHX5H5Wy34ztXnbzvmj1OlmyGH/GshcCuhwSItElLfnuI4F6Y6j0edNgJ2DQDiaUx8sTW04i/yYunkNaszyzLY67umwrI2ElJepyYt/f3gW2NSQhUQi+9+W1PRcce4BSHaKyy4p6T6u6vJQ1W7nifCwDwTqLwKKdVBt+GeL6yDzB2/sSdMXTXtpq6SoNkgcdcT3yhQxOTuJEUkzeUw6ewJZShqdISfOJb63zT5PQOB/uo/JK0ZZseJy330bXIIPA0bCy7r6unG0PWYNwxMdSudICXouxx68gxr50mJVe/Wyl7nhTljc+E4OePvtN4PBWIsDkDbi7ddQlDBA8sw36tWi6kj/8Sp2puyFFn2nS+4f3x81vFs0AA+Hb+lSEuVyC4kW/P4TK0iN3OeP7VefYWjVbOjt3wT49gqovxAo1tHkdT5x5zV6bL6OIlmSYb/M5BVyeFAySnW7q1jpvABwTgwM8JdFTq9J7iPlm8mWZXbbDECbAWjyBjdRQTUDMO/Y4/gVHqkFzpUae/X5h5h69J5RT1PkhgZweHwOQ8O7Y+L46ZowpaWLVdr+2rIuKP52D15Ep0K6IT5wSCzNu8exKmPr5kWXdzMZXgZJMgG9r+h5C2kOXA7O2El58elgzD0ZBA2wWenkxfW9pgHnZgLuzYEmq5F95BEtfkE2p5jsNHMl5iyZnpK2LVf5oPTTVejvuA8o0BRoulZJc8N1o6IQOjUzXCK/Y5nrOvRqLe3lUGcw6/fy+P0PRiGiq5sqOfLOtsC9/wSOPuLqM1KKTT6JDz/CcHxAeey4+oxlBJNEWflcqdB6zRXm0SfPVejvUAQm7gWH8O+ChmpG6UNMiamnmJFzpF855jX8m4tYcowSMxacCkarEpkxvbF62cuEpXOf4MnepbyYiqpYumfixDQuQafb56UtE1EmZB4CExZDnqHahr7GSPzyix0C7O2E6EJiCxVBKMua9H/F5NJSBwYeNt9UMAAVgqYBiTMA/f0kD+u66+KctDlTJ8RpmaF8DnmyQxRCssyAw9sAoPxgoOo4k5dCrAdM2ePkCDG32AxAmwFo7r3D26lmAOqqVhiaWMf1V3E28B3zGnQtn0OyWvTRYbC7uhKrIuqi/tC1SJ9UYcarpbtC7V8HIGpFedgjCq3DRmHu8H6S8yBuvkITPVlm2okBFZAnhT2wrBRAYuqlegG19E/LPMxTLW8arOkgHW7luJZu5bNjdF3lmr9aW7ChHvD4AlBvPhNC597aSyOqIENMNjEH4//t8ntkGF84dRC74k0GEqYBhgSpg9V7cwdYXgY/ouNhRWkvDK5leQhLjdvQ3D64bqosjV2fZULYLFd1oO0eo0O6jjkGgnFcHF4Z+2+8YIcUonApmjUZC49WdE0N8nKk/uCLHc5TgASpgCHBGu1VcefkSSFJSOrPaCaxuZugcjvvkPdos+YKiDC5ZI4ULNzJwo41Y3COKo3HsW/UHXkBCatrLQ5AGuP77wgQ/yAVQ5Q+6w+cQCe/5gi3c4bTyCeAcwLJ1XKps02dS6CCqz7mU8kWcay4OMmI4wzFRPgUUTnq/wJ+KUYj6c8nQK0ZQKl/ZQ1ljo79t9BwZqRTCWobBec9bQGimyFMcsKUJsflzhJLk2VsBqDNADR5s5mooJoByD0DzAhKl1hyWDo5kbH0MywSR/uVR74MBiS2YoDpZyILI0Pv/+JeiovCYhvqAk+8cSSyBHqHD9A6hYoXx0+QhHv0HV1VeFEHnwK2NgHs7AXvR4YiWvtxNvAtOq73NSp/RXi3Hb7PMLi6K/pWtSAblchLCf8X8QvodQVI4wYpb23Xjb44de8ty4SjjLi/tZDkXvtVF+Dv0g0uCBPkndLIpG8wtijftcCRQbgYmR93q29G9wo5/9YtkDUvHtYjb8xDEd+jZONXt4RsXQplkS6wg7SWq5iInDw8pOIxen8AU2DImz4xFp8RMlbvvvyKmi+XoofjEaBQK+CfFZLDir0hctgDZC3cipWuP/mEJssvgUjcKeuZNGjFHHVqDU2ZxpRxTCV3mkQ4OcgAjY9KA4aGR8JtrEAwb8grNfFQALpeb4CMdh+ANnuB3Dp0MTFzGbTTD/tuvkDfKrkwuIZlhjFXJvIcWAGuaYVvyj/LvHHz6WesalcMNWLw06TLGxp4Clucpwv38OB7QDzpb5DulilVsaL2lIRCyShUHk2rDbvVlQB6hioOByqPMnlV1NIDthmANgPQ5M0WVwZgyWmnGCWEscxWroJBuKTrY6ob5op67A1sqINnUanxsuMVlMxh+lRl6UZotb9zANjdAaFwRpXQOXiJVDAkFTTnRCCjamhUOAMWtBQZenu7Ard3A5lKAF08tbxUIW+/o9q8c8z9bwgH2XvrDRy5/QoT6udDx7ICCapZhRPxJkgJDBUyW93Hn8C33xE4M7gicqROxLptvMwbN55+xoq2xVCrgHRiilnjq9yIPlakkLLGfioqONwGas8CSvawfBSi+PHfiYURjZGu4US08Ph7jWA5i5UT1tP0Q6oJs3MAvz4ZxQGKP3wUKjx59zWTPyTy36wpE2L/zRcsY/Xqo48Y8bADXO1fAE3XAQWkw+mvYkKGpKZBnJjW9HLJ2TNTdciwrbPoAgtz50qdCD4PP2Bhy8JoWDijqaaKfucZ+dSocp7UWN+phKL2SisbUtgQ90MRgqK3xqOVo5fByAbV57JspXKkwI7ulkn75R93HD/CIrVoZbh3dEnrIqhXUKAQIwhOu0cjUN3hOlCiB1DHOAuDeF2ff4ah8CSBwcEYL6u4jRjHR20QkyXN9IYH3jFJqM6TAMXJLUqvGdW3GYA2A9Cc+0bcRjUPID/V7O9VBkWyJJecF8e1mUxs+PGBfZBIj9Wr8Q1ULSQdKrZ08ZLtyftH3pDX/swYmB/RlFUzFBpttuISfB9/wuymBZk+qKaQpuzCQoLnjRJCcsWemMUnbrGkkXg+7dZeMUtsXG9NFxcAp8YDbvWAlkKWcpFJnvj0MxwnB1ZA7piTNcfb7OpRGiWyp7DK1qrVadPll1D8+UaMcNoB5KkLtNpmeddEHfH5KdqGjUTb1h1Qq8DfnZFqasFywnpafezqANw9AFQaBVQaLtk9xxUS2e+dSbWYodd8pQ+IazBlQmeWsUqUHTdu+WHsg5aIsnOA/bAHBikyYsnO4zH2gL+98PXTwY34/wLffMPmLiVQPrdloU7ddb/9FooSUwXNb+IbnNyogNW3RkphQzxor63XgTsHsMx5EZDaTcA3S5SQt99Qbd55EPSACKFNiQIYWxjXRb4yqirSxqh+SL0X+yzdj4VvO8HBLhro7QukdpW9X4S5zDX6GKt/fUw1pDTCYME75aT5SVwc4T+hJkBk2YuLAp8eA7VnAyW7Gx2/0/qr8Ap8h1lNCqK5h+ibIXvWQkWbAWgzABXeMnrVVTMApQC7uqO1WnWZnZqnNCpgUmP166SsSBL1GSfL70L1qoYl0yzdAL32D7yAzY0Q5RgfRb8vwGcIoQQpsDdhmAgLQh9bydB3DGM8A8B3Pa3lBfSYegrvvhkm0eUUCKvbF0f1GAoEs9a6rQUQdByoMRUo04d1wbm0xGF4Cs2TosupQRWQK4288IlZ81GhEemOXjzniUPxxgoSYxS2tBcIrc0qX18B89wQCXsUDF2N1d0qoUxO+fJOZo1p5UbicC15mU0C8q+tBw4PALKUAToLH0Tdcvv5F9RfclGjB8s/9vQhJD7J119DcbB3WTw/uRh1n87Bs8SFkXnwOYMr5fAJa0udqbXVb76GomRMtmzyBM4sFGit5BV+oB5Z2w09KlofjsAVNgjbmSm5Pr6PDK9bwY9xy6UnKPmBebqSCuTM4kLvRArd0gFTkudV5sUQG2Z+46ojWQKBnohDVWY2cdd46ffN6orGP3fjfdqySPWvQEempHBP49khlZAtlWk5RLEnmKjMWPFdAxwZLPCT9r1plH6Gq+lYSn5uMwBtBqCS+1yqrmoGoCk6Bxa6m+jJAN/i0KOhBQTPrIDcv27hbL4pqNS8r6XrlN9+UyPgoReeu3ZAOf9Yw5N4uTZ30abI4PgRCmHdnVQLTg46Enjf3wILCgpewNa7AdcamnlwLMvyNkVRW4L/rMqcs3j4/gd2di9lfgicQnuzsgmydaJMzNLTT+PVl1CNgoM5p2D5G6p+Ta/At+iy/gpuuXRHYvwEunkBGeWTuOrNKCaEE4jsqBk61SiMQf3VWKfHqKho5BglfAxvjK0OUnkwWj4+BBYVAeydgOGPJbPXL4W8Z5m+HJf28UcY+9hTIegrOc/Ji/JlbWPk+HQRx9P1QK2ehsNxR2+/Qq+t6nPpWWdHwQ5IdFASr/fyyKpIl1TQpFWzzD4h4AAP9SmHAhmtnx3Nk/i8hlRiHl3dwiEifhlmIdlHP6DBEqBoO8klEybv1L03FsFXfvyOQH6JxJR/t1zHsYDXmNwwP9qVzgZEhuPzlJxIFv0FARWWo0CV1oovQ6lpp9nhxaiijahX4odtvOwStLSTSX6OZBV/vjcKe6Bu1GJcsBmANgNQ8c2u00A1A7DOwgu4a0QVgJ/2SW+SXpqm8D5Xl3RAifcHcCVjR5TsttDSdcprz8Hwdg44UOEwBpz4xHB65OHLkSqhnioJV+sgRnpippcsnmOBS4sEGgyRF7Df9puMQ21UHTfJhAMpxnt5ixDVeh0ArCgrZKiNeKo5leqCkDm2i+WvTKkNR11DVvHA1m3wNTQchSd6YoXjXNQg3I8M+hKjM6KTu+8abIqqhXFh7U1SGVl3der1zsN64hCawd7JeltYUMheb7MHyB2rP83bHA8gzN91hvnb16ssyMjMNfoooqKFGgkoNDymPCJn5IBjVCimZVmNUZ0N6zVvufwEYw4EqM6lp94OavckVjziv4jlFNUcl/aWZNVcnCzwbCuYEE+4EMNCxM1rzj/PQt7nPXyQ5fZiwIC2M7WZ9N9drPN+hJ4VczJMqDnlw/ffKBaTaCHWLO+/4yYO+gnck4xF4t5hYGcbvI1Ohgdtr6J0bvm6vHxe3HmxtWtJlM1l2vNv0HN9dgZwdrrAGdtFyKqWKivPPcB04lwtkhHzLNADthmANgPQnGdL3EY1A5BLRIl1G8UDcaJhk/i/mEZnNk5ClUdzcS9pBeQd+J+l65TXfv+/wK1tgHszzEo4BMvOPmAgbMJrEKaFKBLEhisXITcq7P39HTA/PxD5G+hyCsgs0L5QGJP6b186KyaRfqVOEdNtSIVkZC3o6mrg6BAgR2Wg/QFNE128HycNTpbACX7jYr2Ussb4Q5XqLroAjze7MMFpE5CzCtBuv/kzWeIBvA9C97CB8IzygP+EGkhiIYeZ+ZNRryUP610YVhmZU0jTdmiNdqgvcGMTULoPUHOq3kSkVBN49j9Vdk2bCJ61fwA7WuF5dCoMz7QFW7sZTgRYdDoY89TiulRv24z2xHFpVEkWx2IczcvSYUxlpnIFDs+m8eB6uAngkgwY9lASeqGGgfPy8y8m/UgYQpZoEVP0tKO3twICj2JFRD2U77XMLC5JyuymDO8VbYvKwv5SBKLTel/kz5AER/qJDv6E+6Z3fVQ40OM8kL6Q5GXZfe0Zhu7xZzQ5RJdjbrEZgDYD0Nx7h7dTzQAcvf82tl55apAXi0DER2+/lq1refTgdtS52RNvnTMjzagAS9dpuv3vb8AcVyD8J9DlJPp7O7GTJiV/zPEM1BAnx3MUTuQkocYVPUzidA70Avy2MsMSTdaw9jxbTirLT5wkYpExsrujkKFWeTRQcZhmD2ovvMA0XDd2LsF42648/IAWqy5LejlNb9yfqUEJRf+dOg3PeMMZXtOePJwmZMwkZxqjVxsNOxQKXYnvdokQMrWO4Qz1P7Ncs0aVy82p6TxgL7CnM5C2APCvt96Y670fYeJ/d5nqByV7UKk+7xyC335n/13VLQ3WJtsA+G3B+oiaTFFF6wOp0yOX8CIi6eG1zPMUmbUxFjTiGfTURdaUCXBuqLTajwVD/JGmjZZ6g/SjxfQq4oloMMIDyiDX+kLA7y9A1zNAJn2C7/03n2PgzlsomysltnYtZdZ6Hr77jipzz4EUUSiZhJdR+29j25WnGFjNFf1LJUX0XDfYRUei2u9Z2DyiPczhjFWalKHrCdda4J4uQMAeoEhboOFSybWrpQdsMwBtBqBZD5eokWoG4JoLDzHlyD0mkUTSZQQGpiQHokwgrxk/QW7vVgqlc5qmdTl04ToanK6CKNjDfsxrWazuFm0GeT7IA5IyN9DHF01W+LBTIX3ophy5yzBzFCIYsvsWG+b04IposMQbROmyoZMHKuWRVglhlV/6AasqCviqgQFA4nS4EPwO7dZeleT5on2jJBEKyT4w1xihkN5cN+D7a6DDYSB77ElV98R7POAVo/MoljU59hoQerdob63QmLCkzZZ7Y8371kht9xUR7Q/DMYcZ4ur+u4F9XRGayh1uz0fi/8kLampb5VAzafXx4z0wOxeAaGDQPSCJQLPBC/fYiROixKTFHUtlwoSgxgwH1SpsNJ4lLY6Lw6sYnCaHQRgjhTe1xrj+nSuX0LhK5MPiep5Kx+O4van/FECbklm1mtO7nDJliS6GYR6PdxWUY3QOlryRLlZU6VyovqEMcX5o6F05J4YmPgV4joZfVE40CptskMTa1PhK70PSvO6/ww9lcqbEtm46Bu7TK8C6GoK2Nj1DCfQZFbgecIakLrhkgR6wzQC0GYCm7m1Tv6tmAJ65/wadN1zTkBvzUyARpdYvlEFj0NBpTo78zfHbr1BmT1EksfsJ/HsJSGtlZYa1NYFnlzV4Mg4MpqzGyYfvMoqLcrlS4WLIe7anMxq7Y/SBAPZSlIWx4v3H6KKSxBGFYqWY/g2dfk1dTK3fxaD+kc8Ap1g1FU6lwMP1dKKmkzUR+q7poJ6uqaL5mlH56YefCFjUBHXsLsEvR3cUbj9beS//a+88oKMqvjD+S4AEqVJFQZr0Ll16b9J70z9SFEWQIggCIgiCNBGkKChdkKIoIL33KoTeq0ivUgPkf+7bnc0m2WRrYHeZOcdzJDszb+abee/dN/fe7/vjY/h7Ohdzt6P4rvIGye/6Hv5xqqMSiZyi9plUGc5vt6jGWANqS51GnexLvTElH1BrV2ueBCcl+60xvBQcn339o8/gj7wPnV+8Z9+i7LA1nLl2z7hwTEo+z35k7l2x12/7DK+EcbJWKSLxvLVHwsgo3z8dFnWB9G9BaxOBtHWxzg43aFJcKHIaKaeSERItrBIoDIWkM23h8gF6h7ZmQZyqBjWRK6XPgn3M2HqWThWz0rWyfQqZOTvO0WN+iG2ORisaMSoPgJKfRBmSSh60FVbkzPi1AagNQGf2i626HjMAFUdW/HiBHOxfzXCPSrbW68lfol/N3LSdthNn6B4k0DZoalUKBR6DhpMhT3135xp9+6vH4ftCJuWOLgd5lOAVsvddYrh9hZ9s4KKDLNhzIUL7V5PGN04F5cRIuPzsJbWw/zeY955JvqzrQR6GBRrs++oaoiSiinr4CdeYSGS5VP6eAX90gNeLmYiorcoH03ey7MAlg19MeMbGrjnOsGVHaFw4HUMb2o5bcWkMz6DRypnDqXTsK87Ez0GGnra5yWIchnA13jjN3jI/Umd5IvKmTcrCjqWewchj/xK2ZLPsXnXDSFjVH7JWgRZzI1Tv9VsIs7afM16S8rKUol6e8v9r8q4g07HJPMzViOy76xm/HxtUPWp2vLlXlThmLetld3zPuUK1Ues5fPGOMQpfvF+ig2/k8iOMNiu5DKybN0I1awJwIyHj1hkTx2lAHBMFU/yIWcqSpCVk7VKik5azt4yi+NP0x61E1ugdsfyIoTjT480nfHToHZ4GBlHg3vckSZYqxtPmmK6nlFfeK5mRfrXsHzRM33Kavn8coHqeNIxvaUPjevd0+PNjEyVMpz1R4iTvPXpMri9MSSLu6AFrA1AbgPbuI3u/e8wAFCqRnF8sJfRJmGG0NJ6wBdEjlaJOzhoUTMeIxo4ZGMK1FDLuHZrGXQvmUzN7k3H595X9YeNIy0vvzLW7lB22FjFmDw2oxojlRw21DylC+SJzVMVhxvsnoTAyF9y9DE1/gRxvo04ZZ79fnOJWaifKPZwjTWKWdi7j2rQWdDBisSjVxXSqaVWUXJOKXZQTzp82nuKDMpnpVcMDsmqujdilViu37aXSEjNGojmbKAZXfOQrSMarEEAHxGFh9S10/O24sVdntI1I9+PSwLygkZA0C1mzhDFI3J5D5fIhk5Z1nGBTkH+wSSlGiop57VcrF++Z1WkkiUNcw+I2PpL6c4Jvn+FJgym8MdNEOxMTua6iI5JT9vyvv+zQ8J53JUXfJONwJ8v1ec8j8vWnbTnNF38coFruNEx4J6JRE5kA3Gg7uiBcPwFNZkLOmhG6E5exGDj3Q5+wvnt50qdwIAEp0oDWHb3C/37eHiXRQoUhTE6/hPKXp3P5tYoUPdmGfOmSGpQ5rhSh2xEj0NH308T1Jxn016Go6k/q4kIJMzKnSVmnmZDVhyexqCqe0APWBqA2AF3Z79ZtPGYASqcVR6zlxJW7hjySxEhELgPq5OZd4W5yoIjxOHlYN/rEm0lYrroENJ7qQCsXqhj0F/nh5hnLSaOKYVFfnyphQ3qvnf81gzNKXqxSWpXIyJe17X81GpWX94HNYyyqHO9P28nyg5cMN4e46ZK8FI+Nx66yMOSCoTNaNGNy5rR3UU7puwJw45RNSg+VsKNcHp/NC+FXyUyrmp0O5SUGzHeKxNMETixL3sDTUGccvNnC8cH/PRP++AjSFWFKzol8KQkOeV9lbAs3OAUdv3qs17QEtzfMR2NrlZqYriz3w2jZO6ehyQzIWctSWyS31h+9wvBG+WlYyEQCPHXzafr9eYCcAWdYEtwL4gQZhmPerzdHkRu0vqwYCdn7LjV4QR3OUo51xOxfQLEdSM3eNXLSrswzVCmyPzyXayzZ9y8fRsPJuP+fW9Qcs5HUiYPZroiP/+oO23+Ewq1N4QKRinKVz23/FkUyOq8stOzART6YHk45pLo3sUkcYmfi7qQMvcCWgsNotjkt5bKnYoqLknnO0hEp9ocmhV/nm4b5bGO+4gvY9F20DAWKiSHyx7/EY4s7umuVbBSMRlFLXVAbgNoAdPmGNzf0qAGoAoklG3DV4ctRTsuc+dIX7r2P+3/DlKChPE2Zg8CPXXDvOYKO4v6L+xKIbFVQQubsPEcPqzR9dSIn3ckNK7FnEgMiRWIBmxZ1UDdWna4ExoWuh7n8NLEhpXX62j1DSuvOg8cG95cq8pKVl63T5fYF0xeouLSF1DeSiyZyLJc62XFbd9jpgbrfQNxTM4d8wCdxf+dJztrEaTLd8U7nvgcHfoPS3fgurBnfrjxqU/HF8Q69q6bL67q0F2wdBwVaQN1xlknZ0oteuPcCHWf9zZfBv9AqYBHkrA1NpmOPVsSa6PdA/6okDI7rXeBFMxqlRCE/R0d55RMTiTTIHaev02jCFpuZzcodmzlVQlZ3K2dqeWQJzGoKL2eAzqZnoXURD9D209ex1ux1BhfhSJXkjMiJFj9vPMWCxQtNKkDxEjDprRUMXH7GLU49dS1HvTnKDf2/tzLQ3waFlzHPG2Y3uSRUfbwTUkaMq1Txr+pjStzCkuAyZ+d5o7kcNIxuZqUtbwM8bQBqA9CZe8pWXY8agMqwiBsYwOOnYUbyh1CMXL7z0DAGJd5B0ajYG7icEJTpPY0NQZ0IC4xHQO+LMcrr2Osv2t9XfQUbhptOOuTEA6LExIniQdmha8j6SiIjS1YEyosMXGm4OP78uCT50jnhvvqxPFzYDVW/hrc6GG5ya3e5sPBLlrR8/UlGtUhsOV32zYP5bSBNPmi/IUrzUSuPMmrlMZoXS8/X9fLSavJ21h65ElXP2OkLP/sGsk+afDGGOXH68jQoMYESkxQnnv2BPH5kyngVOos2K/lqb0KTG7xsZnpV9y03eHST7TFvr/FCcfpk99R6mFoLEqSET49aYpgU5csvbYtRwkyYG3L+JvW+X8/OBJ1I9vSGJbxBeBoPXLjN5FZFKJ8jqlveU4Hw9hfaszU+/mU3i0L+NTr1pdhFeyiopDSl82xdf9WhS7SZujOim/Xhf/BNBnj62BTnljxThEuojw9JAmxdKuJv9sYiv6uP8Mg0WdO3nuHBop60i/sX5GnA4ATd+WH9SdqUykTfmrkc6TpKnWh5/aLpbdDig0zccIr3y2Tm85hCZswchRT9AGpEVMTpOT+E2TvO0blSVjpXyobqU10yY4oErLVDMaQNQG0AurThrRp51ACcvf0sPX/bZ+lebv5/b903bhZXYjQKDVjG+ifvkDDgoc2vKHcnb7Q3kwBTfxLka2T8aciSw4irwfqhcudBKHEDA3kpyMQDKFnPp67eo3XJjPYTQKwHqjQjU+c2ca0FBBgYrTh4yYgDFJktuwkl9iZuVrag2IdQfUiU2j+uP8HXfx1GEVg3mrCZHadvMK5FQWrYkKWzd7nn/Xul4auZfed/pAy4HYXyJtqxnVwL0+pAwlTQ7Sifzt+HEB27q8/5vLGwvn4EyoyqTvDsSbyqGMcPbkLL3yBLRaNbW5JZYoD/vWY+Bde3gZeSQ7cjBh9ji0lb2XT8GqOaFKDum2mjwKKoMCSZaosbVBjPGm9FRCzXdfrj71kP1onricclj1l67eCAqhE+PKOlPfm5GpzdArW+g0KtIlxNqYE4+0ElBNDicRFviNCKRU60mLP9DKUXl+PVgOvGx0b3femYu8uFjxyr0e46c50G47cYCYsbethPuvvij/1M23KGThWy0LUdoZ6JAAAgAElEQVRK9uhRPrEapteD4CRG4h/B4Rrryo3cqFA6hjXKj4otlY81SciTsveLKiRNEP3HrDYAtQHoxC1us6pHDUBFKKyuNK/9W4YCgVAMNCuansq5nJPpkTiJ7253Jl/gqSjxSO5O3Gh/+TCMK2aKW+p+AuILHOGZjZ9UzEoXB2gBnBqLBAYPz25SBvlgA7waTQyJU51GqjzuLbh8EBpPh1y1o/QUOeYlMjG0O5d+Hm0lWLz2qf40iLMRSnSEKgPtD2NJT9g23kLY2m7aTsMIt8WDZr8z76wherJj15xwLk5VTUXFeOWqA42nGX/N/cVS4/Q7il7s/Hawbw4UaQdvDzfqdpi5m8X7/o2gByuhE5JsIBJehy7etq2m4J1QWkbV74/9TN1yxvj3xs/K47JKj5fNUwx5SeJ7EPo0SuLGzG1n6P37fuP5PfFdK5qoNYNh3RDIXR8aTY4wI1fVQLrO2cNvu/8xCKDFCKxb4DVGNQ13ha5ftYgyG1pwLyABCXqfps2MECPcaHD9vMY7xpXirBKSwyfrosU+tghcOw5vj4AibS3DUzRpb2VOwaz3i1NgwHJu3gs1JEUl9vHs9XtMb1OU0llT2ZyS0I/dXdSbpHUGy++Shn3blbn7epsAX5/Acx6/Rw1ARWAscwoMMKW4u+TCNINSZ+wm3r34tenFXqEPlOnuWbjWDYU1gyBrVWgxx9J359l/G7QvsUZQO7sFHF4EpbpCpX6endO96zDU7HIRozZhVG3L33afp+ucvZTOmpLpbYpRZuga44Ez/8O3KJTB+YBtz07A+d6Ew/DmjjmMCxptpl7YC4GB0XdknfhjzmJUGbOuxiw5P+rYb+EWvY/SkRby8q6HeJIgJaItLEWokSy0RaKgMywrPL5v0rpOZzIQFK+ccnHJ3/ovPMDkTacNN3u21InpNjd8D8Y+Gp65wuAlh/hh3UmjM2EIUB4Bz/T+fHtRcZsS5iKk8KpE9hhYfjizGSZXN4cKHItwz7mqBtLsx61sOXnNconIiRYnZ3Ym87HJbIhfntI9F1hOzia0LES1PGlcAvDirQcUH7yKOIEBHB9U3a4HJooecUxX3ToelvaEVDnhoy2Gx0eKirkU3lGJjX/zqxWWPdV93l4jzCC60A0J2Tlz+Ta/P2xHsn6npZ02AF1aed3IowagfEUK/9Odh4/J/kpilnVxkcLEvC6SdZj7xE98Fm825G0MDSZ6dsUmlIaLIVD7eyj4jqVvFejtVIKHMyNTMXrJMkGnvy0PBWe6iLbu4cUwuzmkzGYomtgqkaWMlJ7r0s6lyZHGdArqS2Xc2uOMXhrCngQdiP/0Hry3BDKUiH4K1lQnEjMYlBDF7ybanKLR6Q9lyqZTpsxmK+k2p+Y1sQL8swsqf8Wtgh8icmBSjgysFh7Lu/l7Q42BFFlMYRrmF5wtbjV1KlghR2ojuF9cfHUKvMZ3Vic8To3vOVRW8bNC4H7oK9eIh5/DsB26pHJD/vBOIarmDjemFEegcIYKd6ilSBytxAGKfGb7TZAm/DfFpOAM96v0q7gr1TUiJFqEhXFveB4S3D3PkCS96dm1B+WGrTGS6FzNNpbrWPPyOZKQ1H76LpYeuGjhUY0R3Ps3TfRfoXeh1WLIaKKqUVrHEi8vJ4CSgKOUQRTNTJVcr/Cj9YkrIHRrospSJnAv34cNIekQg5NSG4AO7XBdKTICHjUApfPa328k5PwtgybCpQxWqxFKduGDfX8yMWhktAkNLi/p7X9hpMRFBUD34xFOypS8VaydBkkAtcRYyanJ+2vhtZizvZya47LesOV7U0yOxObYKELlIca14hnM3mcJD32MjsN6WipGaXKyyZS/vyLGuRvtNoyAVQMikB2XGLyKC7ceGF/jvsJJZ29fRBdIb6+d5fddU2DhJ4Y84vkW6yg1dC1BcQM5OtDMa/borolC6e4VqDUaCv3P0tSWC1Cd7oiGrsSaCv+aUzRKDg889iqq0zC3SNpjb3hu9azCIAbWzUPL4uFycCqezybv4YwGcHylJalNDUAkMiuNXEeS+HFxRg1EeSOEckaSB61Jx7m4DyaU4n5YEM2T/cLvnSuj9K5Xdi1rCA24UqJI3SWNH2M3KmluqKP0Sgs7w67JYBVOIS5cee5KsuSnVbIxfPlRi3ayCqVKkyQ+Wz83xd+qorxsI+KNp/Lj9doAdGXBn3EbOfPtA7wPSDrcIUB8maYzX9vFkTYSddsGECtGWFdFpPZzCU1xYn4eNwBV4Hl0wd9OjM1QGdi4bRtrg7uB0LR8fiFm154znSuljLSFoN3qCC1VBqNdjV9nrhe57px34eAfJqkgkQzyVFFZxvUnQr7GNntVQc/ifljdrazxRSlFFE2SJTQR+PpSEc1m0TeulfgYY0L7mWhvhBQ6bri6imU+4v4VouMrh6HmKCj8nvGTim9b+2k5MqZM6EvTj3aswiUp2ZhFMyU3eCadLuLelXjV0LucrzqJUn8kMOiKdvWtbOpKOC2F21KoQDruipB9/euOs3w2fx9y2vdzqyJGdXXKKuEhdQqk5fe//4n4gnd6gM++gVKBcCWp7dmP1rkr2nLbSw8x8oRuGg0r+kZRjrFWA3HGVf7mgOXcuBeKxI8fuXTH4OV8OYH5mbTma1j3DcueFGZYsi+MeLmsHnp2qevOaFOM09fuUjOf1XUjwag+ZISmReha7JZLB2B8CZNyimjBmzW2Sw9dzbnr9437U3hlWxZPj6iwCEWSGLZPw2D75xVJnSTcID1y8Q51Rq1gZ/CHPH10XxuAdsF//hU+lvAXoLUo4wh3MNAZkJz1U9EMz5E24wGRpxCD7wEgooMNAUlLMvEU2C8eNwBl8wpxqGxqd7NZJYh9wpqjHHmpDXHDHsEneyGZY0TSdqc+539wcAGU/QzKi90cXhSJaazGxB1YAHP/Z4pZ+yTEM25geWEPyQBhT6DLAUhqIuuNXKyF1ld1LUv+ASbXnpzsyAmPr5VLtx9Q7OtVxA0M41jK7gQID2I0CTCo7N+gRCax9vhJCH3y1GMvEm/CTtFb5EmbhEUdS7s2tJVfwsZvDXnEwtcHkjxFKhM9hZz+jcoH965GCaGQCwmhbfsZu41YMokpk1Jk0ErkBEOKfHxI3Gnk0ybXBvnsWql5+RNhuEJPuXpbFEvPoHrhcnC2EnosiCseVbmfhHPUTMFkrQayrns5MqSw/1Fl9yTOnNzW5dGH7E5W1XD7Fh20yog3PzaohhHD52pRJ4+i/iSJMHKaKEkYryYN11BXfUfnKo/x2j9Xh7ObI7xvlCGpaNOExkaYJ6RU+XYdRy/9ZyTdWCdPbj5xlZk/fcfYoNEce5iSbEOMeFTtAnZ14Z9BO+FFEYK5b6yuJcyZvwPRZQC40kbyxe8CTYHfHJyXxw1AB6/rUDXlbtmUtC9pH56A5nMgm2vi4hEu+OQxDMsMD0wccLxuOqFQRcXELetchuxpwlP3HRq0o5Ue3TO5gSU2pO1qSGdDU9LRvlS946tgRn2TUdk5nI4ncjdK6i5BUBxWdC1LySGrCYoTyNFBUSWLnB3C86j/9GmYoassJNohJTeRZNdYyF4Dms2KOhyVgGOVsXrtv4cUGrjSqCtB4HHj+J4RbAt3OVWQ5JbMKROy+lMzga+zCySyVhNKGZmMcx6XZforPVjYvhDIB9SxZaYPMon9i8S9KFrezSaGa7nKy11Oa8TlZV18jXpIlEsW7PmHkllSIm5gfyrqdLNq7lf44Z3wbF/JshdpNmsFGMu8JdN12Btw/zq0Xgbpi1t+clYNxDoWLzIVDddOwJiChAXEJf/9cSRMmtLgYaw2agPJEwaxW51Ku7ggkWMPpRtZXyH+FyYL66I0rJ3yECkt+ESvQOf9BlWSNaWQ9G/Nmfnp3L0GLVXHClnoZkU1I8TrwfNaUiXOLo5laUO2dwwVFm0Aurjusd1Mzm7viUEPmN4wpiL0+pKzHlFE0fSbK22knUSuXwaEyGhNNBMTn5i1X0ysm/O3bt0iSRLvC/5XDO1Tk4yn7KMNJlepuEzdLWe3ws9V4aVkJvqXQBO3nyrZ+iwxJKpE0zhWH/LzWsP++fDWx1B1kLuzgtUDYf0wyNcU6v8QbX/W2dpi5FYdtZ5kCeLx9xeyTX2zqGDwBY1TUuBP+UgIi2rci/avxKyFPYUO2yGVicPr5JX/qDBiHYmC4xqZ6/5SlITXK0mC2fZ5JdendXYrYT9XI4AwDgTlJ3eqePDPTlNYRvNfIXPZKH2HnzIHsbNPZW7dD7UkkVhXjiyF5fogdUt3EVBycNanttKnhFdImMWElgWplseGprTyppT7HMp9ZhmGs2ogMWbjbhkLyz7nbtpS5D7xkRGKMKb5mzSfuM04rZMYQHeKMnJzvZqEIQ3yGlKmQo6t3LLWfSvJU6f2rnBrfpsH/rsIDX6CvA1RCUWqb+vwE6XNbB1CIfV+XbOLemsrExTwhNstV5A0q6Fbrg1AdxY/FtsKA6pou8gqbbe6zleAvGmK2ri2K22kG3EJS8SoyBg8iWZOX9o6dfRWA/DynQfGEX+nOL/RNd68KNJULq+bUv/I0wAa/hyhGzH8xACUsrdfFZK+5ICqhKsDObQQfm0JSdKZTuxioi5x5BqTa8CZTVEC8iM3tZbhmtm2GC0mbTP0iDd+Zp8E1ZFhPI86injYOKU4Nxj2zACJ75QTXoWr0mLOXI6wdxZYQhT2nLtJ3bGbDGNfjH5/KUrdIXFwXPa5adiGTP+MfCcmhEMj5LZi/EWTba2yHEUBSEILzly7R7nha6NAu7xLGbK9Ekun7P6ykM9oHtbUJOt7lLdcVcVuRstLt/NnWNQFMpSE90xUQVKUaoq1azOmqSg+Ppsfo0LafnIt10r1p9DKrMieHtIgnynG1R3NdPOA5GNp5aFLvFcik0G+rLgPbWXiisdEFJx+/6gEb9rR640wX8WbmP4taL3UOOGTkz4p4gY+/FU1i/dBJeqJMIB4aVTZMLk3pc98z7kEOUnafjlJk4rtpw3AZ3SLOH0ZZcyJf2+3VWtHDEBn2nxqTjQRP8+eGEbpUyeAMg95+GS6vJLxQd9B2sLQbpXTixClwQ9lQGJX6k6AAs0i/Hzj7iMLJ9OJr92LK7E70NAHJvfJo/+gzQp43db3gN1eTBWkryHpTQTTH++ClFmibSgu08xmTjdJ1un86x5LRrCDV/O6aipQvXXJTJRM85jyy6sRKO71ej/w/t4sZLi8is/vDiEg7CnL8n7LpyFpDYoFkd0T95acAOR8NYkRWO4v5fLtBxT92hQjJXvZnZhcydidtWwdXdKfol6aq1D8wxhJzCNTa0hAf/1xm6NAG4FT0F+A99F5nL561zDSJTTk4IBwihu7Bo/ZPYtwRvY8Y9AqSXFWDUQlc0l8qLUBisQ2f5MJnoZys81WCow9abANdamUjZErjhLZZe0J+BWzgCJqtu6z8MCViAb5X51Kk+s1JzxnwjwxKo9JPq/tKrY8zGSESUiJoLMMnLjyHxVHrDPWQqhpjHv36VOuDclDikf/sOyN3rxVp702AD2x2LHYh3LnStqcteUiLmDJs3/bxrWdbdPXnAAiAVy2id+in6BXxwDKsEUjcc3GDawM7gFBiaHXOfcSJu5eM8X/Sel2FBJHVCdRGqWRH4KxtkeUikLxj6CaweruWlGkrAlTm/RbzXxs0XWWs+9SQ8u4d42cDPrrUIRgfdcG8HxbjV51zHgZqNI76TLaPZxKWGAQy0PzUS5wD8EBjwkr0JJSh+rzz60HhutIDL4l+y8awvPFMiXnV1eyZZ/v1KO9urW8l5wuxI8XMdTBmWEPXXqYcU7QtkjMX/Y+prhMOVU9dOE2baft5OUE8QzFA1X8KebSGTy9sa71frHmw1MqFSu6lCGrrdNayawflRdunYOW8yGLKdxAUQEpyUl7c442aenQIvi1BSTPbPCmqhNJMZpOXrlrKICIEogny5rDl3lvyg5sJVDl7bfM4LoVBoXMqZyknlnwEeyZCTlqcq7KREoPNUVrVcqZmkn/C49FfxD6xIhrlmJhZzixBqbX5XbYS/xZcTW1C6TTBqAnFz2W+toPzDVnAqtL/A0sNp/a2bqsI20kN158MnJWL59rJgFB54rXG4ByFN7m580cit+KuDyFLgchaVRtUYenrbJvU+cyMbNHKgcv3KbG6A0ID9X23m7ETTk6oCNLYFZTSPyaKXPXVTewxP5JDGCuutB4qt2rFx64gqv/PTIEzX9cf9IgPxYSZF8t6uWhxh9EKH+/MYmE/2ywTGlfkrIENZ1G1dGbLH8T7d+VBy+x++xNg9JBqB38pQjXmFLv2NWnEikS2aDFcXCySv80clB6TM1V1u/iTqU4cOE2PeaFGOoz205eNwxDMQb3+HDcqYPQ+Uw1azk4lbkrf5OQmNAnYWzpVQFbWbHGBBd0MIVdlOgEVcTBBUoNREi/f2kXnhwSHSAq5jvKqdufHWH3NCjWHqp/Y9FqV/10KP8G3Z3RunZgRXaevk7DCVsQzsp1kvVuVbL1XmL5sHE6RvzKERgrEWFhhLbfSvbvThp0L+1KZ6L320IMEl7UM3pRx1LkSZvUlHh1cAHTHlfm5UajKZcpkTYAHVjL512lkxxkAS3MRlojQE7thDb9GPAuIIFoEr+3zjxYe22kmrzZhK5d+pXkD1Uem+MOHZm31xuA8iWUr/9y/grsSpbACxHE6R2ZYJQ6i7vBjklQ9AOoMTTKz5bMyVQJWd3NxcxJZwb2+KFJSuvhLfsKFjH1O7UWnFoPNYZD0XZ2R6A4qERrU2TvauRNw7gWHshEtnvl2KkgL6ptp64bhvugxYcMfdBulbNx5dh2Mp3/w7jopPjv0aJUVoYuPWIkfMiJhyoS6ylcebGW9R0707bbqzrp3dCjfJRsRruNrSp0+XWPwdv3eY0cvF/mDYeaVv12vcHlNrV1UQ7/e5vBSw5T/820hjEof3crO9mhEehKziKgnguKAsv6JCrkyyokiR9NTHTIHPitHbyaHz5Yb1zWWTWQyBrlRidyujgyJ9z51/Ls33ryGk1/NLlOpcSGZKfw7UlyXOQMY+vwGZc/qhQTQf7mlDzSyIgn/LpeXpoXi6hlXOf7jew9fwtDmSXdE/gun+E+rv5wMH3aNCZv6iBtADq7wZ9DfSEnEroXeStLpq4QQfcAlpnHIryAoqQtnxkqStpeG+PWiGYuolTuKFme1xuAMseWk7bR4kxvqsfZAdWGmOKPXC3fF4WrR6DJDMhZK0ovqw9fovWUneRPl5Q/PjbJ9sR6+b097J1l+cJ1+npCKSOSTE8e2Y3/U30rN0rJLCnYdPwajQqlY1ij/E5f2hsbKBJikSM8de2ukdEtHGFyIiYathK/069WLmZvP2cYIgmD4jCzXXEKvP6yN07HrTGpUwR3Zf4U99mIRvlpUMg2v2TkgSpJReH6k9CKH9afNHjOJNtz8b5/KZwhGfPMHIFuTVI39hgCap1Vxq81RVKMMdF3LsIIyaoPgB4nIUFylBpI4vhx2fel/ex6iTMVCcEIKlL/hsAPpSFeAuhxCuLFN3g7Cw5YYbhhpXzbJD/13nRsTzoKVOQkJhU/ax3bKowB8iHpdDm/EyZVhMC4DMg4lSmHAhA2hsju9Y9m7uKvfRf5omYuWt/63ji42EkuGj7oY4SupE2INgCdBl83sEbAJwzACetOELpiAB3jLrAv8xXT+t65BCOyRXhIRa6ugn/FMJrZ1r7bwiPb6chSmNUEEr9qcnE76wY+sRqm14MkaU1uZDvxfzLm+uM2GW5PyTI7dvk/n5Pkigl3MfDE/SiHB1LETZP7tSQsP3jJ0mzjZ+WNE8Cxa0SOLAOFMiT3yFJ6WyeK4FbImIXew5UiRkBhM54xugEjdd5/4QEmbzpthBlIctXcXecNgXuRHZSYTSG4FaJbXbwHAaVzO6BObt59KyPWnKHWiSE2RyyuTVHYaTQVctfFWTUQW/rRrB8Oq7+Kwuv54YxdRuyuFKf4+ByE+s6DUPJ+aSLIt46fVZn1QhgtCicuJ1ZNrw8nVvE0+9tcrzXZ+DCNXCT+feKGU3QpmoBPDjQ2PvCbPerDlqe5DIWQ+DzSBqCD66mr2UbAJwxAyYgaM+prRsUby/UUhUjeMaJ0m8OLu28ezG8DafJCe9uKeSr9PzYyy6Idp7iBh0o28B1ovRzSG9xOjpcVX8Cm75yiyZFT1Y3Hrxo0N8LR9nH5LHxa1cSL5w+l4fjN7Dxzw5iKuFbkRFekyaRkeyURy7u4xxvmKxjZpfBwYCLzd52n29y9CEfaX05kSU/ZdIovFx6kWu40PH76lJWHLhvB+nLyJzrfn1TMSvW8NnjlHBiTrhI7CPT7Yz9Tt5xBxdUduHCLt0dvJFXiYHbYi4n+qwds/wEKt4aa3+KsGohIf87YetbYF10qy4c68FMVOLfN6M/o11zm7DhHj/mipwB/flySfOk8e3ovrt43ev9lfETKvGX+UpRbO3LWrtOrcfkQjC9pUm1690+bXJrq/pmaehZlby8k9PWSZD3WwbjUsUHVuX/3P20AOg28bmCNgE8YgDLgab8v5N29LblJIh51OU5qGxI9dpdWhO1F4L54B6j2tc3qKnOtQcF0jGj8DF2ilmzg6McW7fwUrU0M+r+R274/bWeEE7HPquXgw3KOxXbZxdkLKigVGRmKnDKJASiUKFJsitp7wZhjYwjhJL6FqJZHQoadL0oKzJkEELmKCqcQwzE4XiB/n73JhJauj8P5kesWziIwds1xhi07YnHDOqUmc3gxzG4Oyd+ATibWM0XQLvG1Ig8aU5FMfEkEscT03btuoskS4vZI0pZK/lH6iy3CflvZvoq7r1SWlMxo6+SHeuTJK4M5dW5T3GSciO7kFQcvMXj6nywL7kk8HnOuzjxK//qIJPHjEvJlVW7fvq0NQGc3uK4fAQGfMQAf3b9L3G/SEkgYXTPMY+R7ZkF6ZxZ0dEG4fgKazYbstmXPRiw/wpjVx5+9S1RRHQgptAiGO+DGNaZu0NqI4RZmk9YmOng6z/7bSP5QRbl8nIHTm+sKp1mFEWsJjhsH4ZpLGByX5hO3GokiCz4qSd50BoGq35d3ftrGhmNXGdk4P/ULOh8nZR1v5Szx7fHLd6g0cr1B2ps8UZBBBu2IIeD3i+LFE1QGjmRrT29TzGLE502blIUd7cRE378JQzNFMNicUQN5b/J21hy5wtCG+Whc+HUImQu/tQUxkD6KyiE5cf1Jw3sRW56LEoNXceHWA/7oUJL85vjgMauOMWLFUc/ETIuBO6Yg3L8BxT6E6kMi7IxDZy8RMKkiOQLPwRsV2VpyopH8opKntAFoRJzq4gYCPmMAyhwfjcxH0O0zNH3Uh9G9OpI6sVAmOlhuXzBlkwUEmkTL49s2AL788wBTNp+2uEAc7N39aqK5KtrAQgrddhWkczA26sDvMLcVRENrE93APv99H79sO2v52Zngfvcn+2x6WHvksmH4FcloOnm4dS+UK/89NPj/XpSiYrq+qpuHd4oL9ahzRcTnRW5LpLfEFRYorNIOFusMUiV4L5JdLxL+DkLlNdWUAoUkUC3rUsY4kZOTueKZkzP7/bfsj3NiRZNMYJ1x8GYLp9RAokjOKa9IqS5QSUSsnm1RWewz2hSjVNaUxsV7/baPWdvP0qliVroqN7U7w1K0ZNKHdYJjWBiP5n9A0P5fuRz2Mok+2czafwL5aOZuS/KUNgC1AejO1pO2PmUA8ksTOLqUPqHvka9eN9NXoqNFNHdFe9eKpsBWUyXC/Vxcoq5oA//ZCXZPBSeJpAcuOsikjacsEGjXnKMbybfqdZ2zh992/0Ov6jn4oKzzLn4ViO5qSESxr1dy6fZDC2i7+1Y2qDV08U4EFP2J4miUj0T5WKyU8xUm/c+Bj9JVA2DDCMjXBOr/GK4GUiYz3apkR+L8imVKYTOTvMq36zh66T9+aVuMEpmTmT6I7193jx7LDZhVHPH4FgUtsapKM3hI/bw0LRqRtsXlS20cBSuFKCQA8tSHzOXg75lwbitPwgJo/qgPg7p8wJaT1+m7YD9Knk4bgNoAdHnPmRv6lgFoTnaY+rgy23L2co63TsVbRMP/p4B098TErQVRbmAjG1hIoe0oNzx9CiNzwH+XoMV8yOo4cbWoZkgmpirWX7luzUE39ioE5IUxfesZl08sKo9cZ2SJj21ekLfzOZ+w0WjCZnacNiXjSFTD8UGxLK/oVej73mBu3ntEgQErjIEfGViNaZvPGEpBwhc6qqkDJOkn18G02pAoDXQ7bFD/CP+jqIHUyPsq7abtJGWiIHb2iRrCU/zrVVy8/YCFH5cib9gR+KmyyVPT/WSU+LhngazFJd0gH42LmA4blJEqpPlCnu+RIpkmS3vCNiutbek4TjBjgloz4kZpI9N577lbfLvyKM2Kvs7g+vl0DKDJZNbFDQR8ywDc8wss+JBNT3LTPrAfu7+oTLw4gY5Nf0JpuBgCDSebvrKiKSo7VjRy677phuKIY6OKWEuygYdnhQe3os0Mi9Dg3HbTQzI4CXQ/AXEdP1kRap0hSw5bunM2vsuV6ek2zx6BwUsO8cO6k7QtlYk+NSMqDdgbzfW7jyj4lckYsMhR2WsU6fduc/Yyf/d546+RSXWd7EpXfwYIGBJ+fZca3JlCHi7kzGLEtSqRkS9r57Y/AtEkF07Sxw+gw3YWnE9kaI2LGoiEYnxn/ui0pQGd+4ul3H30BEOFZM9I2DAccteHRkKT++xLlKQUQCWGrOxahiypE3t2UBf+Np38nd1qygou0ZE2888ZpPaD6uXh6MU7ETK09QmgNgDd3YC+ZQCe3wWTKnCVlyn8YByz3y9O8cwp7GMgYuJD0puCk7segiSvRdumzthN7D13k0nvFqZSrog6wfYv5IEayqX7ZkuoMzbmDpf3hc2jIU9DaPiTUxefvuU0ff84YGkTrc6nU+jOEQoAACAASURBVL3qyt6GgNJIdkUvddmBi3wwfZfBFbmiq2u0Od+tPGacWkh5I1VCVj0LdR1vWwQfG4+1Gsi4NScMA+SrOrl55y0H9QWm1oZT66D6MDanqE/zSduMtc+UMhErD5m4OGe2LUbJLKa4OimPnzwlS+8lxv8bYQLTK5o+2Ov9APmbPhcEVZy0oqWx5ga01kqOzcEpCcaPyr3B2ev3WBTyL31r5jII1bUBqA1Ad/eebxmAYsgNNmUyFnjwA03K5KdXjZz2MVBEyUnTQxcTF1x0peKItZy4ctdx49L+1Z2rcXoTTKlhOtX79JjBfG+ziNtAMsiun4RGUyB3Paeuo7jdVKPNPSvw2ssvOdWHruz9CEzacJKBiw9Rp8BrfOeIC89qSipOtEWx9Ayql9elySo9WGlcJGMy5rYv4VI/utGzQ0DFvo1rUZChSw9z+to9fmlXjBJvhBtsMY5GYgAlFjBHTY5X+IFKI9chaiCimvHvrQdGU2XEqH6sXc/HehYg3ig5rQ4wPQMTecjV6iSE6vRcjC0Z79FLd6jy7XoLDYuT3blUXdGSyf17+fZDtpy8xndNC1CnQFptAGoXsEt7yrqRbxmAMvJReeHmWZo87MuN1EUcI/RdMxjWDYG8jaHBxBhBU0HrFgFutyF2sgOJ65M53j5vYdS32cOlgzD+LSNOhB4nINg5d8SSff/y4UwTV5eUvf2qGKTQuvgXApKxKJmLDgfxW02/9vcbCTl/y/LCcQWZXWeu02D8FqPpMyVXd2Wwuo2BgOJ97Fk9h2EAPg3DUJ5IncRB1gWzp4bgpNz+5Aj5BkQl7m9cOB1DG4bzrJ69do8yw9bwUrw4HKp3Gf7sCGkLQTsXSf89sJaKE1GNVVgFWk3eQY40iVnauYwHrmC/i0UhF/j4l78pmP5l7j58YkhXTm9TlNJZU2kDUBuA9jeQnRq+ZwCaM4H7hbZi6pMqiKRXumQJYp7mtDpwci28PQKKtI2xboQ4lBQJ3QbYpQ5W9INNoyBrFWgx13YX64bBmoGQtSq0mOP0ZdYdvYJktKlyfFB14joaT+n01XSD54WAkjaUGKxf2kUvbSguONFLVtJWIpOXv/9yQz/ZndPhy3ceUHSQiYBbBa8/Lyz0dR1DQEn4VciRmtWHLxundyH9qjgue/b0CXyTCR7eIqztKnL9cJX7oU8iXDyy1vr+f25Rc8xGUicOZnuWKXBoIZT7HMp95tigY6HWtC2n+eKPA1TPk4bxLQsZtFniFhZcfm5VJBauGLVLxaUpvygqpcWdSpH7taTaANQGoNt70PcMwJX9YeNIlr9Ug/dvtESE5lvGxG/25LEp/i/0LrTfBGnyRAuavOze+Pwv4/ddfSqRwoY+o9uIO9LBtRMwppCJ3PmjbZA6R8RW4v4dV9yku1l7DBR815FeI9TZcfo6jSaYTmZE1/LwV7aJsZ3uWDfwKgRWHrxE22k7DSJbIbS1VZbu/5ce80Iomz01Y5qZMj0VH1y6ZC+x8bMKLs/JWg5M4ph6VIu0l13uWTeMLQRUgljCoDhGUkaB119mQTR7J9oxzGoORxZDxS8ot7Wg4UaWIprcBy7cNk769vevanx0SFF8kzlSBbP0YSuTLGa7NZC2YGxN026/KnxBqX4okQB3QiLsXtRGBaWRrH7a2qsiaZLG1wagNgBd2U4R2vieAWhmh7+QpAAlLvegYo7U/NRKUuRvIsfloiGZIMhKUufCHvixLOKO4LNTMVKrWIuXCwWCqEg8tzK7BRxeBLaSQY4shVlNICiRiS7mJed1MJXGp8wvOlqG5zZ3fWGPIaBerJLI0a9WbsavO86whvmNeE8xzoQOSJRvVJHMz9eTJ0C97Oq/mZaRTQq4NR5FqGuR+HKrN904thGwjtuUazUslI7hjZyUxdz2AyzpAZnK0vh+L7afvm4Mu0e17Ehi0MPHT1nzaTkypTR5WVTC0btpTjPg5ueQMDV0OwKBDrI8xAIolo+ndEn54+NSqIz27lWz06F8lli4ou0u5WBC6HPkNFaKejfpJBCdBOLuJvQ9A/DifphQkidBSXjj9njix4tjZI1VG7XByJKSB8xH5axuzh2TYHE3eKMCvPN7jHhduHmfEkNWExQnkKODnvOJ2Lkd8FMlCIwHnfdBEisOtp+qGiShlOgEVb5yaQ+cunqX8sPXGm0zpEjAuu7lXepHN/JuBELO36T295tI+/JLxn/yIu5cKSudK2VDveBkBskSxOPGvVDLb01+2GLI5nmC8Fa9OCe/V4Ty2VN7N2B6dGw+ftXI3FVFYgFFP9upcuUIjC0KcePTOeMfLNh/zWgufKNDlh5i/z+3mdCyINXymJ5rc3eeo/u8EManmk/1O/OhQAuoO86pS3q68raT12hiJb0mUpKbT1xzWVbRnfHJ4YTEAqZ9Ob7BAShFG4DaAHRnT0lb3zMAhStv0KsQ9oRa8X5k351Ehi7j3F0mrrEompULPoI9M6FMd6jQJ0a8VJaX1/CV/VwNzm4x+KCoMtA09jObYXJ1iBNkMgwTp3FpD1y+/YCiX5tis3K9moS/PintUj+6kXcjcPzyf0YWprjzQp+GGfxuNfO9yvfNC6JcS6LyIdqvwtcmLl/5TWS55ORhdbeyZE7lnnSe0GfIvVUwfTLH48i8G1a/Hp113JlMdOK7hansLCWWhKmMEJL6i0zPNoa+ISa6LuGTlKx04YZUHyLy9583nmLAooNsTdKTNI/OxpwA94zQV16SlImCDT1x+WCWD2eH6cdieZzaANQGoLtbzPcMQJnx90Xh6hEmZxpO/0NROf3Wdy9vnAa+P30nmxL3Itndk9BsNmSP+VRv15kbxosvffIErO/hBSdiR5bALOHACjB9DWerBrOamU7/CrWCWt+5vP4S5J+n3zKjfdGMyZnT3gGdT5evphs+LwT+vXWftwZHzKRUWYxtpuwwON4G1MlNo0KvU3TQSu48fGw5DayV/zVLTODzGr++7rNHwDoURq5u7ap1ajS/vQ8hv7I7Q2vqH6lknEBv6lmBietPGuoiKrlC+hy18ijzV21kQ3AXCIwLPU5Gq9fu1BjcqHzu+j1KD11jxEgfGlCNHH2XGq5reb+kT2En8dCN6zraVBuA2gB0dK9EV883DcC5reDA7xzJ14Oq203xSQmC4hgi80JbITEawnN36epV9gW3JTAgDLodhcQxEzurzFivORGTr+i/PgVxY4sRGD+JSSVETv8+2gopnHTLWO0C64SX8tlTMfm9ou7uJd3eCxG4dT/UyOa1LhLicHBAVcqPWMu56/ctJxpK6F7qpkoczPLOZUimdXu9cFVjd0jWiTtqr7jEECCqFn98xO0U+cn3z2eWWMINx67wzk/byZwyIas/LWdM5qtFBwndMoEB8aZCxtLQalHsTtKB3q25Cbd9XpFiZo/Jc48PN49dG4DaAHRgG8dYxTcNwHVDYc0gQvM2JdfuOoQ+CTOY0TOmTGiIZQfFDTRcXcUDDzI7aCC3g14hyecmNYKYyuKQf+nwy26KZkrOnA+85ERMjECJYdxpVvpInRtqfgvpi9mbjt3fc/RdwoPQcJeg3Qa6gs8hEPrkKVnNCgvWgxeeS6HdkGIoLyQMYvfZG9Qft9n420//K0zFnM9BCcfnEPbPAZcbtsbI3M32SiLHuFZtwXDrPHybm7CAQA69G0LGtK8aCXpX7jykyKCVhjb07j6VjY+M7nP38nZIR8rF2QuVB0DJT547sNbqJBK/+t7kHcaH0Y7ejmuux+YktAGoDUB395dvGoDCEfVrS3g1P1+lnYB8UU5vU4zAgACEyFmIS6V8k2YNTW5OZAXFKN5zMYnjx0x0/OuOs3w2f58ls9hdcD3WXoxAOQWMEw8KtPSYMLrovIrea9MirzOkgSmwWBf/QyBbnyXGB5EUOSm/9+gJHcq/wdg1J1DxTfKbnPxM2nCKBMFxaFEsg/8BoWfkMAKNf9jC9lPXqZE3DeNaCCWVi2W0qBWdgKazIEcNSyfVRq3n8MU7FpLxjlM3MfxkHYIDQm1TX7l4eXeb5fpiqXG/CIXRuLUnUJQw7vbrifbaANQGoLv7yDcNQIMnr6CRYcbnFyJQuzT9cQtbT14nc6qErEj3E3EO/cmQ0KYkrtTdbuq+O7JZ7i7E82hf6pvVnL9xn9YlM/FFLZFe0sUfEXhzwHIjw1e410TfeuHeC2RMkcA44SmZJQUz20ZPEO2PeOg52Ueg06y/+XPvBTpVyELXKtntN4iuxqIusPNnKPoB1BhqqTVkyWGEb7Dem2n5tkkBho8ZxafX+nHvpddI0OMgxvGgFxSlDCUyhjtO36BtqUz0qekdz0ptAGoD0N1bxDcNQGGa/zotPL4PHXdHiIXbdPyqkWXWv3Zuii4oA7fO0exRb04mKsjmnhUtxKO2gJNA5FErj/GsiT7dXURX21f5dh1HL/3n/kPe1QHods8EgZJDVvOPUBy9kYKSWVIybNkRy3VblcjIl7VzP5Nx6Iv4DgISDiDJGp/XyGnwQrpcDiyAuf+DVDmgQzi1jKJYkdADcakuHtyM2qFLOJ+lOelajnf5cp5uKBn0kkkvsZCPnjw1+BCFF9EbijYAtQHo7j70TQNQZv1DWfh3DzSZATlrRcXhv8swPCthBFCSKVx4EI9prYtSJlsq7j16bMQNRta+HbjoIJM2nuKDspnpVT2nu9h6ffu6Yzex59xNelXPwQfO8nx5/ez0ABUCytD/pGJWQ4nh/em7LOAMrp+XZkXTa7A0ArGDwL3rMDSzSdVIiJ3NtFUSmyohKHcePKZThTdouqk6rwVc50bdGSQrYON5Hjujs9urekaqis9NI97GSLUBqA1AuxvYTgXfNQB//xD2/gLle0PZHlGnqdQyUmanb7qfmb71DHULvGacdrw9eiMXbz8w4jmaFHndoCMQrcqaozdy8updXhTFAkVsaldOz91dpts/VwTaTt3JykOX+O2jEiRLEGQhAJdBzf/wLQplSP5cx6cv7ucITCgNF0Og/kTI19gy2Y9m7uKvfRcpGHCU34K/5GFgAoJ7nYJ48b0GkHd+2saGY1eN8Yhs3YH+VQ3xAW8o2gDUBqC7+9B3DcBNo2FFX8hVFxpPjYrDmq9h3TeQvzl7Cg9GvuSEz0mEvOWhY12aF0uP5FnM2n6WNEnis7RzaV5OEOQutl7f/vvVx4xEgHkfvmWIi+vinwgIEfOZa/fIkzYpktmYq98yS1JIyJdVSGInOco/UdGzemYILO8Dm8cYz2Lqhbt35+w8Z2hQ94k7nbZxl/AoV0OCGpvZDp7Z4GK+UIeZu1m871+jksgpruha1ktGppVAZCG8I1LUa7aE0wPxXQPw2EqY2QBSZoePt0ed+IwGcHwl1BhOWJG2hhrCiSt3jXoSXzy66Zvsv3CLH9efNIw/VUSqqFTWlE4D6asNxBUTL87z09v0Vdx8edwqA/PVpPHZ0quiL09Fj90XEDi1AabWNBE7Cx+r+YTPpEa0kk3BnUgbcA2a/gI53vaqGfWcH8LsHeeMMXkbMbo+AdQGoLs3i+8agLf+gW9zQUAc6P0vxA0Ox0IsuqGZ4P4NaLca0hZi3NrjDF1qCn63znpdfuAinWb/bfDhvVcyI/1q6YB4dzeVbu/dCHz8y24WhfxL2WypmNpaE4B792r5weiePoVReeD2P9B4GuSqE/7BPW8+Lfe3JiwoEQHdj0O8l7xqwoMWH2TihlPGmERgoEN5K5355zxSbQBqA9DdLei7BqAYed9kMCljtN8EafKEY3H9FIwuYFLM6HXeMA4v3X5gnAKmThzMwo6lDEJSVUSndPeZG9QvmM4gkdZFI+DPCEzedIr+Cw/SrXI2OlbM6s9T1XPzFgRW9INNoyB7DWg2K3xUy3rDlu8hT0No6F3uXxnk6FXHGLnCJCLwc6vCVMjhPeTo2gDUBqC7t7fvGoDGHVkNzm6B+pMgX6NwLPbNg/lt4LWC8P4ay99v3H1kGHgJg8ONP3cB1O01Ar6GgMQB7j1/k7xpX9YfPL62eL463suHYFxxk86vuIETpoDHD2H0m+aTwemQq7bXzU59LMnANveswGsve88JpTYAtQHo7g3j2wagIhkt1QUqfRn1q7JIO3h7uLsY6fYaAY2ARkAj4C4CKhu4xnAo2g42fgsrv4REr8Ane73O/SvTnbvzHN3nhZAkflz29qtCgJcQVMvYtAGoDUB3b0nfNgC3T4S/PoVs1aD5r+FYqJPBuuOhQHN3MdLtNQIaAY2ARsBdBLaMhWWfQ9L0UHs0zG4BoXeh3g+Qv6m7vcdK+60nr9H0x62Uy56KKe95V7ysNgC1AejupvdtA/D0RpjyNrycHjrvM2Hx5DEMTmdSCemwHVK5IWPkLrq6vUZAI6AR0AiYEBBSaCHwv3U2HJF0RaH1Mgj0zthr0cdef+wqOV9NTOrE3sNPqE8ATVtI08C493DxbQPQYJnPZEJAkj2CE8PF/TChJAQlhp5nvfbB4t6y6dYaAY2ARsAHEbh7Fea9B6fWm17fBktDQR+cyPMfsj4B1Aagu7vQtw1Amf3w7PDfRWi9HNIXg11TYWEnyFgaWi1yFx/dXiOgEdAIaAQ8iYB4aXZPgYSpIlDCePISL0Jf2gDUBqC7+9z3DcBZzeHIYqj8FZTsBH90gL9nQMnOULm/u/jo9hoBjYBGQCOgEfA6BLQBqA1Adzel7xuAShIu+9vQ7BcYlQ9unoEW8yBrZXfx0e01AhoBjYBGQCPgdQhoA1AbgO5uSt83AM/tgJ8qwUvJTZx/3+U3cU19dtoUE6iLRkAjoBHQCGgE/AwBbQBqA9DdLe37BuDjRzAkvSnrt0RHk+j468WgzXJ3sdHtNQIaAY2ARkAj4JUIaANQG4DubkzfNwAFgSk14fQGiJcAQu9Bme5QoY+72Oj2GgGNgEZAI6AR8EoEtAGoDUB3N6Z/GICrB8L6YeFY/G8hZCrjLja6vUZAI6AR0AhoBLwSAW0AagPQ3Y3pHwbg8ZUwo4EJizjBJv6/eN5F2unuQun2GgGNgEZAI6ARUAhoA1AbgO7eDf5hAD64Dd9kgLCnppM/OQHURSOgEdAIaAQ0An6KgDYAfcMAFLUSCUh7H0gNHAK6Ayti2JeOtAkChgIidivprruBTsAuJ/a7fxiAMmElNC6xfxIDqItGQCOgEdAIaAT8FAFtAPqGAfgxIIzErYHDQCugM5ALOBXN3nSkzXCgPtAWuGg2KmsCbwC3Hdzz/mMAHlkKu6ZA7TGQKJWD09fVNAIaAY2ARkAj4HsIaAPQNwzAfcAM4BurLRYC/A70i2bb2WsTF7gCtAd+NfcRx/y3bsBkB7ez/xiADk5YV9MIaAQ0AhoBjYCvI6ANQO83ACUT4R5QBVhpteHGAekBObGLXBxpkw04AmQFjlt18BdwEpATRFslGJD/VBHX8flz586RJInYgrpoBDQCGgGNgEZAI+DtCIgB+Prrr8swkzrh9fP2aTk1PomV8+aSVgwsoBiw3WqgXwFVgaI2Bu9Im5LARuAV4LJVH9PNBl7jaED5MoZTR2/GUY9NI6AR0AhoBDQCGoGoCKQD/nkRgfEVA7CQOUlDrZEjBmBMbZQBmAK47oQBaPMEEJANdOcF2kDGyaee9wuz4i/qessCv6hz1/PWz/QX4QEn+/wCEPYiTDbyHL3dAFTu3MrAKqvBiws4A/C2jUVzpI1yAWcBTlj1IS5gSSzp4OBmMGIAX8AjZD1vxxOFHNxKXl3tRV1vWZQXde563voe9+qHkh6c+wh4uwEoM9wPzDVnAqsZ/w0sNtPD2ELBXhtJArkKfAJMNXcQaE4C+QyY5CC0+iGpH5IObhWfrvai7nNtAL548VEv6l5/Ueft0w9mdwfvCwagcPMNAlqYEzcaAX2BPMAx4F3gZ6AisM4MiL02Um0k0MTc7yVz4kdTQE4FbzgI7It60+h5a8PXwVvE56vpva73us9vYgcm8KLucweg8d8qvmAAyhiF7qUdIAR1QgTdA1hmXhbhBRTalvLAWvPf7LWRahLPJ1yAYvQpImg5EdzhxHJLH72AwcBDJ9r5elU9b73evr6HHR2/3ut6rzu6V3y53ou6z315zdweuy8YgG5PUnegEdAIaAQ0AhoBjYBGQCMQjoA2APVu0AhoBDQCGgGNgEZAI/CCIaANwBdswfV0NQIaAY2ARkAjoBHQCGgDUO8BjYBGQCOgEdAIaAQ0Ai8YAtoAfMEWXE9XI6AR0AhoBDQCGgGNgDYAXdsDglsf4H0gtTkzuTuwwrXuvKqV8CHmN8+lLbDAanRBwFCguVXmtFDu7LKqI7qKo4HagNTfAHxk1lj2qomaByN60l2AXOY5HQYGAH+af/fHOcvUSpmz63MDyYDTwBTz+gorvr/OO/IeFBWfrcBOoK6fr3k5YI2Nm3AvUMDP1zwB0BVoBmQ2szaIEKwoOPnrXo9O3eIMkNHP97o3vmu8bkzaAHRtST42E1O3BsRgECqazmYjQpREfLWIuoqMX+2LepEMQKHNqQ+IYXgREKNXDKg3rMS055kfLh2Bu8AQ87/zAk+8EJj+wFOz0ozwPwrfpMyrCLDHTBXkb3OWZfjQLOW33LyWYhCON3/UiCHoj2sdefsJ95logr8KbLIyAP117soAlA+821ZgPDLLYfnrvEUdSijCbgLfmT9Gk5uN/lA/3uvKyLPe958CxczPN/m7v665F75qvG9I2gB0bU32ATOAb6yahwC/m09VXOv1+beKZzbmZCTCt2htAIp6yhWgPfCreahxzH/rZuZiFJ5GMQxLANvMdVICQrRdKZrTh+c/66gjECN4jPkk80WZs6AgCjsLzSeg/j5v2esi/XjQLOX4stkA9Od9rgxAOfEVY8i6+PO8hUe2qPljNfKpmD/PO/KTTZ7PIn36P/O76kWauze+Z577mLQB6PwSKK3hKsBKq+aiT5ze/JBxvlfvayEPSmsDUOknZwWOWw1XXqInzUoqgokQdItLRb6sVZGXrKi1yNemtxcxDC6b3UVyKnQE8Pc5y3rJKacYvXISKGvv7/MWCUg5AWxg3pvKAPTnfa4MQDmZl1M/uW/luSX3pj/PWz7o5F4WlSeZpxi/M4EvzR+8/r7X1TNX7m/xbBQ3/8Gf19zb3zNeMT5tADq/DGmB8+Zj9O1Wzb8Cqpq/NJ3v1ftaRDYAS5rdZa+YDSQ14ulmVZXGZvfpREDibayLxAFuMSu4eN9MI45ItKBFaUbc2hIfJy5Cf55zT+Br4Lp5/cSA9/e1lhhP+VgR9aD75thHZQD689xfA94E/jHfo28Dsv4SyiIfdf6410XlSdzd4rWQ0IZ/gcJmKdDvzafA/jjvyM9ZeZ6JV0f2vVLM8ue97u3vGa8YnzYAnV8GZQAWAna/gAZgCrOxEJ0BKHFkcrLiiwagaEOLrKCcfFobQv48Z5mbBMOLi2wY0Mb8kpSXoj/OuxbwLfCWOXxB9qkYBpENQH+cu62nncw9ByBhHP645pLkcw6I/LwWt7Ak8cmHqz/OO/JaiwEsCXrVrH5QBuCLstedf9v7eQttADq/wMoFXNmcOKB6EFeKJFHIV7U/lOhcwOJGkTgSVcQFLC6WDuavyyWAYBTZBSyGlRgY3lrkFGSUOUtwsXmQykXir3OOvBZyIiJzliQncYv547wlWUv2oXVCkrj9pcieFUNYsmL9ce627r3ewLuAGMb+uObyMXoLkOe1dciOMBnIM0mS0/xx3tZrLW5fyXSXk0+J81XlRXu+eeu757mNSxuArkG/H5hrzgRWPciNJYaD0MP4Q4lsAErA8FXgE0Dip6QIZYwkC4jbdJKZEkeSQMS1ts5cR7LtpI64x60fwN6CkdwD4hKUrFihrtlsNTB/nXN02E8DxE0opwT+uNYyb0mAEJe+dRlspgASw1c+ZiRpyd/2ucxXkrYiZ+ILzZP8TU6//XXNj5rZDCS0QxUJexCjV1zi/jpvNVdx+cpzuWmkff+iPd+85Z3jNePQBqBrSyHcd4PMMVPy9dgI6AvkAY651qVXtBKDTrlvhRKlpdmovWcOGh9pflEIVYq8JOWFKQ8VOS2R+lJ+MydNCFWMxFd9Yf7Klni6x14xy4iDkBhGiYuROVknt0gt4cbzxznL3OaY4zIlW1tipITOZ6A5KeIPP563rS1o7QKW3/11zWWviztU2AoemPk8FeWRfMD667wlrEFCU2Su8hEqNCjCVdoOmOXH85a9LB4pMfJz2ni++fNe98JXjfcNSRuArq2J4CYxJPIAkdR6Ca6Vr0uJG/PlIrxRtngM3zPHSQWbM3nF6JPgaomBlJOSHVaTlhMWyTYTg0IRQYt7OLJx5S04iZEnrntbRdbZH+cscxVXqLjBJDhc1kkyteWjRhFg++u8HTEA/XXuwlcq96J8sL1kdgdK7J869fbXecuaC/WJGICy34UIWT52hMpLir/OWz7oJZxBMqCFvstW8de5e8v7xavHoQ1Ar14ePTiNgEZAI6AR0AhoBDQCnkdAG4Cex1T3qBHQCGgENAIaAY2ARsCrEdAGoFcvjx6cRkAjoBHQCGgENAIaAc8joA1Az2Oq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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "room.sources[0].set_ordering('nearest', ref_point=room.mic_array.R[:,0])\n",
    "c = pra.constants.get('c')\n",
    "\n",
    "n_plot = 4\n",
    "for n in range(2,2+n_plot):\n",
    "    #subplot(1,n_plot,n-1)\n",
    "    figure()\n",
    "    sources = room.sources[0][:n]\n",
    "    delays = pra.distance(room.mic_array.R, sources.images) / c\n",
    "\n",
    "    rir = room.rir[0][0]\n",
    "    rir_fd = np.fft.rfft(rir)\n",
    "    freq = np.arange(rir_fd.shape[0]) / rir.shape[0] * room.fs\n",
    "\n",
    "    plot(freq, np.abs(rir_fd))\n",
    "\n",
    "    ord2 = np.sum(np.exp(-2j * np.pi * delays * freq[:,np.newaxis]) / (c * delays) * sources.damping[np.newaxis,:], axis=1) / (4 * np.pi)\n",
    "\n",
    "    plot(freq, np.abs(ord2))\n",
    "    plt.ylim([0., 0.15])\n",
    "    plt.xlim([0., 4000.])\n",
    "    savefig('figures/partial_rir_{}.pdf'.format(n))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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