analyze.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import seaborn as sns\n",
    "%matplotlib notebook\n",
    "matplotlib.rcParams['figure.figsize'] = (10, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('s-output-400-800.csv')\n",
    "\n",
    "df2 = df.copy()\n",
    "df2.dropna(inplace=True, subset=['tabled_Pris eks omreg', 'tabled_Årsmodell'])\n",
    "\n",
    "df3 = df2[df2['title'].str.lower().str.contains('toyota avensis')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.pairplot(df3, vars=['tabled_Pris eks omreg', 'tabled_Årsmodell'], size=5)\n",
    "sns.plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Merge and analyze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "files = [\n",
    "    's-output-100.csv',\n",
    "    's-output-100-200.csv',\n",
    "    's-output-200-400.csv',\n",
    "    's-output-400-800.csv',\n",
    "]\n",
    "frames = [pd.read_csv(fn, index_col='id') for fn in files]\n",
    "merged_frames = pd.concat(frames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "columns = ['tabled_Pris eks omreg', 'tabled_Årsmodell', 'tabled_Effekt']\n",
    "\n",
    "mf2 = merged_frames.copy()\n",
    "mf2.dropna(inplace=True, subset=columns)\n",
    "\n",
    "# Filter interesting subjects\n",
    "bensin = mf2['tabled_Drivstoff'].str.lower().str.contains('bensin')\n",
    "diesel = mf2['tabled_Drivstoff'].str.lower().str.contains('diesel')\n",
    "octavia = mf2['title'].str.lower().str.contains('skoda octavia')\n",
    "octavia_bensin = np.logical_and(\n",
    "    octavia,\n",
    "    bensin,\n",
    ")\n",
    "fabia_bensin = np.logical_and(\n",
    "    mf2['title'].str.lower().str.contains('skoda fabia'),\n",
    "    bensin,\n",
    ")\n",
    "avensis_bensin = np.logical_and(\n",
    "    mf2['title'].str.lower().str.contains('toyota avensis'),\n",
    "    bensin,\n",
    ")\n",
    "auris_bensin = np.logical_and(\n",
    "    mf2['title'].str.lower().str.contains('toyota auris'),\n",
    "    bensin,\n",
    ")\n",
    "auris_hybrid = np.logical_and(\n",
    "    mf2['title'].str.lower().str.contains('toyota auris'),\n",
    "    mf2['tabled_Drivstoff'].str.lower().str.contains('el'),\n",
    ")\n",
    "stasjonsvogn = mf2['tabled_Karosseri'] == 'Stasjonsvogn'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABLAAAASwCAYAAADrIbPPAAAgAElEQVR4Xuy9C3RUx5UuvE+3JBBCICGBBAI9kHRaIIwN8gMMBiuA3x7bcZzEcTKeO8md+yczs+71ZJJ4Zd2xk2WPJ3HWP775c8dz58YzsyYTjydxHDs2jm1wwLz8BOQHrz4tgQABEggJEBIg1H3+VYJuhGh1VZ2uc0537c1as8ahdu1T+9tf7aK+rlPHAPpDCBAChAAhQAgQAoQAIUAIEAKEACFACBAChAAhQAhkMAJGBo+NhkYIEAKEACFACBAChAAhQAgQAoQAIUAIEAKEACFACAAJWEQCQoAQIAQIAUKAECAECAFCgBAgBAgBQoAQIAQIgYxGgASsjE4PDY4QIAQIAUKAECAECAFCgBAgBAgBQoAQIAQIAUKABCziACFACBAChAAhQAgQAoQAIUAIEAKEACFACBAChEBGI0ACVkanhwZHCBAChAAhQAgQAoQAIUAIEAKEACFACBAChAAhQAIWcYAQIAQIAUKAECAECAFCgBAgBAgBQoAQIAQIAUIgoxEgASuj00ODIwQIAUKAECAECAFCgBAgBAgBQoAQIAQIAUKAECABizhACBAChAAhQAgQAoQAIUAIEAKEACFACBAChAAhkNEIkICV0emhwREChAAhQAgQAoQAIUAIEAKEACFACBAChAAhQAiQgEUcIAQIAUKAECAECAFCgBAgBAgBQoAQIAQIAUKAEMhoBEjAyuj00OAIAUKAECAECAFCgBAgBAgBQoAQIAQIAUKAECAESMAiDhAChAAhQAgQAoQAIUAIEAKEACFACBAChAAhQAhkNAIkYGV0emhwhAAhQAgQAoQAIUAIEAKEACFACBAChAAhQAgQAtIClmmaLwDAAgAYYPAZhvHDaDTaGggEngOAyQCwY2Bg4OGOjo4zoVCo0LbtfweAegA4HY1GH2pra2tl/UzTfAoA7mP/bdv2dyKRyGr236FQ6AHbth8HgFzDMH4ZDoefYH9fV1fXmOwZlEJCgBAgBAgBQoAQIAQIAUKAECAECAFCgBAgBAgBvRGQFrDq6+ut8+fPX9/e3n4iDo1pmi0A8JeWZW02TfOHTHyyLOv79fX1zwQCgR4mQoVCoWbbtp+0LGuJaZr3GobxzXA4fNvcuXPLhoaGtgwNDS20bXt8bm7uB7m5uQt37tx50jTNN23bfjoSiawd6xl6p4eiIwQIAUKAECAECAFCgBAgBAgBQoAQIAQIAUKAEJASsBobG6ecP3++DQA2A0AlALwUi8X+JRAIbLAsq5bBWVtbOysYDK63LKvONM3WaDTa3NbWdpC1sf8di8VuDgQCPwAA1oedzmJ//5xhGO+w/47FYs2RSOTrF//+awCwPBaL/SDJM96JP5PSSAgQAoQAIUAIEAKEACFACBAChAAhQAgQAoQAIaAvAlICVn19/RzDMH4wODj434aGhs5NmDCBvfb3NgDcblnWsoswBU3T7Lcsa7xpmmcsyypgutRFQWpjLBb7XiAQeMwwjJ+Ew+F17O9DodATtm33G4Zhx2Kxgkgk8thF+xXs9UIAeJzZJ3uGvqmhyAgBQoAQIAQIAUKAECAECAFCgBAgBAgBQoAQIAQYAlIC1mjI2KuA7NXBi68MjhSw+izLmmCa5jnLsvJHCFibAODbhmGwe61+PFLAAoA+27aDtm3njxSwmH0sFnsiEAj8eJSANfwMSiMhQAgQAoQAIUAIEAKEACFACBAChAAhQAgQAoSA3ghICVgNDQ1N0Wh0evzC9fr6+s8bhvHn7HVCy7LYRe3ssvWZhmGsi0Qipmma7HXDZZZlHWJt7BVCwzCWXRSk1oXD4ecv/v1ztm2vMwwjyF4ZtCzrG+zvQ6HQV23bXhaNRp+Iv5Y4+hmp0hOLxWzDkApR72xTdIQAIUAI+IyA4VNRpvXA58TT4wkBQoAQGIGAX2sBGwKtB0RFQoAQIAQyBwHZ9UBK3amrq1scCAR+kZOTw75CODg0NMReIfxnAPg+APyFZVmbTNN8zLbt4kgk8kgoFPopAHSzS9wbGhpujsViz1iWtYAJXwDwZ5FI5M6amprS3Nzc96LR6KK8vLxgNBrdEovFbpg8efKJ06dPM///EA6HXzVN85Nkz0gFvW3b9vHjfWDbmZMgt0bCdLqSkkLAEC+mWBlfKF63Zo3/fjHmtrR0ktS6oypLmNYDGcywcVAGG4z1VwYf4k5qtAifsfFh2Pi1FrBR6bIe6MQxikWm+npnS3nxDmuZJ+mWF9n1QHojYZrmIwDwXwEgaBjGi+Fw+H/W1dU1BoPBn9u2PQkA9hmG8ZVwONw3e/bsybm5uf8ci8VChmGcDQQCf7pnz57PWIJM0/xbALgHAAIA8EPLsn7F/r6+vv5+wzAeB4A827ZfiUQij7K/r6urmxsMBtlJrcuewROwurvxCFilpYWAId4L//DBEWt8A0XxypT17LHFyOWpU/0TsDDUR1n2Y+Mg4SOLAE+EwLMWyyJHcys1d/xaC+IClg7rgU4co1hkK4w39pQXb3CWfYpueZFdD6QFLFmA/bRnv7DosECJYKgTkXnxYoqVBCweG7K7HSOXZRcpVRnGtB7IYIaNgzLYYKy/MvgQd1KjRfiQgCUzn5zY6sQxisUJA9zvQ3lxH2MnT9AtL7J7AxKwnLAmA/voRGQevJhixbiBwpRfTLHGuSy7SPHqgWg7CVjJkcLGQVG+xO0In9QiBKbTwcQdWQRIwFKHmP71W6daS7G4zXxn/ikvznBzuxfLi+zegAQst7PikX+dJiUPMkyxkoDFY0N2t2PksuwipSrDJGDpvwFSxZWRfrDNURkMCZvUaBE+JGDJzCcntjpxjGJxwgD3+1Be3MfYyRN0y4vs3oAELCesycA+OhGZBy+mWEnA4rEhu9sxcll2kVKVYRKwSMBywiVsc1QGI8KGBCwZvowWhv1aC9g4dFkPdJqDFIvT2eRuP8qLu/g69a5bXmTXAxKwnDInw/rpRGQetJhiJQGLx4bsbsfIZdlFSlWGddmwqMIj7gcbB2XxI3zGRoywIQFLdj6NrDt+rQUkYDnNmrv9dKonFIu7XHHqnfLiFDl3+9ErhKPwxbRh0WlS8qYJplhJwOKxIbvbMXLZr00LpvVAZlZg46AMNhjrrww+xB0SsGT4MtLWyYbF6bOS9dNlPdBpDlIsKhmuzhflRR2WKj3plhfZvQGdwFLJJh996URkHoyYYsW4gcKUX0yxxrksu0jx6oFouy4bFtF4Re2wcVAUl7gd4TM2YoQNCViy82nkvPJrLWBj0GU90GkOUixOZ5O7/Sgv7uLr1LtueZFdD0jAcsqcDOunE5F50GKKlQQsHhuyux0jl2UXKVUZ1mXDogoPEmjEkMQ2R8VQuWBF2JCAJcOXkbZ0Asspcpf302kOUixqOKHaC+VFNaJq/OmWF9m9AQlYanjkuxediMwDE1OsGDcJmPKLKdY4l2UXKV49EG0nASs5Utg4KMoXEvj4SBF3SMDis2TsuuPXWsBGpMt6oNMcpFicziZ3+1Fe3MXXqXfd8iK7HpCA5ZQ5GdZPJyLzoMUUKwlYPDZkdztGLssuUqoyrMuGRRUeJNCIIYltjoqhcsGKsCEBS4YvI23pBJZT5C7vp9McpFjUcEK1F8qLakTV+NMtL7J7AxKw1PDIdy86EZkHJqZYMW4SMOUXU6xxLssuUrx6INpOAlZypLBxUJQvJPDxkSLukIDFZ8nYdcevtYCNSJf1QKc5SLE4nU3u9qO8uIuvU++65UV2PSAByylzMqyfTkTmQYspVhKweGzI7naMXJZdpFRlWJcNiyo8SKARQxLbHBVD5YIVYUMClgxfRtrSCSynyF3eT6c5SLGo4YRqL5QX1Yiq8adbXmT3BiRgqeGR7150IjIPTEyxYtwkYMovpljjXJZdpHj1QLSdBKzkSGHjoChfSODjI0XcIQGLz5Kx645fawEbkS7rgU5zkGJxOpvc7Ud5cRdfp951y4vsekACllPmZFg/nYjMgxZTrCRg8diQ3e0YuSy7SKnKsC4bFlV4kEAjhiS2OSqGygUrwoYELBm+jLSlE1hOkbu8n05zkGJRwwnVXigvqhFV40+3vMjuDUjAUsMj373oRGQemJhixbhJwJRfTLHGuSy7SPHqgWg7CVjJkcLGQVG+kMDHR4q4QwIWnyVj1x2/1gI2Il3WA53mIMXidDa524/y4i6+Tr3rlhfZ9YAELKfMybB+OhGZBy2mWEnA4rEhu9sxcll2kVKVYV02LKrwIIFGDElsc1QMlQtWhA0JWDJ8GWlLJ7CcInd5P53mIMWihhOqvVBeVCOqxp9ueZHdG5CApYZHvnvRicg8MDHFinGTgCm/mGKNc1l2keLVA9F2ErCSI4WNg6J8IYGPjxRxhwQsPkvGrjt+rQVsRLqsBzrNQYrF6Wxytx/lxV18nXrXLS+y6wEJWE6Zk2H9dCIyD1pMsZKAxWNDdrdj5LLsIqUqw7psWFThQQKNGJLY5qgYKhesCBsSsGT4MtKWTmA5Re7yfjrNQYpFDSdUe6G8qEZUjT/d8iK7NyABSw2PfPeiE5F5YGKKFeMmAVN+McUa57LsIsWrB6LtJGAlRwobB0X5QgIfHyniDglYfJaMXXf8WgvYiHRZD3SagxSL09nkbj/Ki7v4OvWuW15k1wMSsJwyJ8P66URkHrSYYiUBi8eG7G7HyGXZRUpVhnXZsKjCgwQaMSSxzVExVC5YETYkYMnwZaQtncByitzl/XSagxSLGk6o9kJ5UY2oGn+65UV2b0AClhoe+e5FJyLzwMQUK8ZNAqb8Yoo1zmXZRYpXD0TbScBKjhQ2DoryhQQ+PlLEHRKw+CwZu+74tRawEemyHug0BykWp7PJ3X6UF3fxdepdt7zIrgckYDllTob104nIPGgxxUoCFo8N2d2Okcuyi5SqDOuyYVGFBwk0Ykhim6NiqFywImxIwJLhy0hbOoHlFLnL++k0BykWNZxQ7YXyohpRNf50y4vs3oAELDU88t2LTkTmgYkpVoybBEz5xRRrnMuyixSvHoi2k4CVHClsHBTlCwl8fKSIOyRg8Vkydt3xay1gI9JlPdBpDlIsTmeTu/0oL+7i69S7bnmRXQ9IwHLKnAzrpxORedBiipUELB4bsrsdI5dlFylVGdZlw6IKDxJoxJDENkfFULlgRdiQgCXDl5G2dALLKXKX99NpDlIsajih2gvlRTWiavzplhfZvQEJWGp45LsXnYjMAxNTrBg3CZjyiynWOJdlFylePRBtJwErOVLYOCjKFxL4+EgRd0jA4rNk7Lrj11rARqTLeqDTHKRYnM4md/tRXtzF16l33fIiux6QgOWUORnWTyci86DFFCsJWDw2ZHc7Ri7LLlKqMqzLhkUVHiTQiCGJbY6KoXLBirAhAUuGLyNt6QSWU+Qu76fTHKRY1HBCtRfKi2pE1fjTLS+yewMSsNTwyHcvOhGZByamWDFuEjDlF1OscS7LLlK8eiDaTgJWcqSwcVCULyTw8ZEi7pCAxWfJ2HXHr7WAjUiX9UCnOUixOJ1N7vajvLiLr1PvuuVFdj0gAcspczKsn05E5kGLKVYSsHhsyO52jFyWXaRUZViXDYsqPEigEUMS2xwVQ+WCFWFDApYMX0ba0gksp8hd3k+nOUixqOGEai+UF9WIqvGnW15k9wYkYKnhke9edCIyD0xMsWLcJGDKL6ZY41yWXaR49UC0nQSs5Ehh46AoX0jg4yNF3MlMASsQMCAWs/kJ9NGCBCw14Os0BykWNZxQ7cWvvLhRx/yKRXVOdNsbOlkPSMByg1U++NRpUvLgwxSrbkWKl1ts8WLkMglYIrPAOxtsHJRFlvAZGzHCJrMErMFzQ2Dt6IJ9VjfUmKVgziuDvHE5spT3xN7JhkXlwHT5QUOnOUixqGS4Ol9e58XNOuZ1LOqycKUn3WKR3RuQgOUmuzz0rRORebBhihWboIMtXoxcll2kePVAtF2XDYtovKJ22DgoikvcjvAhAUuWM35xZ8e2Q7BpbSQx3JtW1cO8pgqnw3e1HwlYauDVqT5RLGo4odqL13lxs455HYvqXIz0p1sssnsDErDcZJeHvnUiMg82TLFiE3SwxYuRy7KLFK8eiLaTgJUcKWwcFOWLXyKE7Pj8tCfupEbfS3zY6za/e/5j6NjfmxjUzKpiuOehazLydUISsNTMXC85pmbEOARxyosztrhdxygvzvLidi8n6wEJWG5nxSP/Ok1KHmSYYsUm6GCLFyOXScDiVThv27FxUBZdwgfHhlOWFyL2XnPHzZMLIvHK2DjZsMj459nq8oOG1xzj4ZpOO8WSDnru9fU6L27WMa9jcS8ren1Excl6QAKWm+zy0LdOk5IHG6ZYsQk62OLFyGUSsHgVztt2bByURZfwIQFLljNxe6+54+bdMU4xGKufkw2LyjGQgKUSTTW+vJ4vakad3AvF4hxdN+sY5cV5Xtzs6WQ9IAHLzYx46FunScmDDVOs2AQdbPFi5DIJWLwK5207Ng7Kokv4kIAlyxm/BKz4c934epdTDEjAUo3c5f50qk8Ui7tccerdr7y4Ucf8isUp9qn66RaL7N6ABCw3WOWDT52IzIMPU6zYBB1s8WLksuwixasHou26/OIuGq+oHTYOiuLitwghO04/7Ik7qVEnfFKLn36tBWxUuqwHOnGMYvGjivOfSXnhY+SHhW55kV0PSMDyg3UuPFMnIvPgwRQrNkEHW7wYuSy7SPHqgWi7LhsW0XhF7bBxUBQXErD4SBF3SMDisyS5hZNXRpw+K1k/XdYDneYgxaKS4ep8UV7UYanSk255kd0bkIClkk0++tKJyDwYMcWKTdDBFi9GLssuUrx6INquy4ZFNF5RO2wcFMWFBCw+UsQdErD4LCEByylGIv10moMUi0jGvbehvHiPucgTdcuL7N6ABCwRlmSBjU5E5sGNKVZsgg62eDFyWXaR4tUD0XYSsMbeSJaWFkJ3dx/YtiiaeOywzVGZzBI2JGDJ8GWkLZ3Acorc5f10moMUixpOqPZCeVGNqBp/uuVFdm9AApYaHvnuRSci88DEFCs2QQdbvBi5LLtI8eqBaDsJWCRgiXJl9EabBD7iDnHHCQJj9yEBSw2eOv0bgmJRwwnVXigvqhFV40+3vMjuDUjAUsMj373oRGQemJhixSboYIsXI5dlFylePRBtJwGLRAhRrpCAJYYUtvolhsolKz/wcePLXbJxi9iTgCWCEt/GD47xR+XMgmJxhpvbvfzMi+p65mcsqvOkWyyyewMSsFQzyid/OhGZByGmWLEJOtjixchl2UWKVw9E20nAIgFLlCskYIkhha1+iaHij4A1eG4IrB1dsM/qhhqzFMx5ZZA3Lkd2yJ7Zk4ClBmqd5iDFooYTqr34kRe36pkfsajOR9yfbrHI7g1IwHKLWR771YnIPOgwxYpN0MEWL0Yuyy5SvHog2k4CFglYolwhAUsMKWz1SwwVfwSsHdsOwaa1kcTDb1pVD/OaKmSH7Jk9CVhqoNZpDlIsajih2osfeXGrnvkRi+p8kIB1AQESsNxilsd+dZqUPOgwxYpN0MEWL0Yuk4DFq3DetmPjoCy6hM/YiBE2qdnkFT7sNZvfPf8xdOzvTQxoZlUx3PPQNRCLZeaXGUjAkq1E+v8A4dV8UYN8Zsx9HWNxs54Rx7xgjPwznKwHJGDJ45yRPXSalDyAMcWKTdDBFi9GLpOAxatw3rZj46AsuoQPCViynPHjF3K3Tiw4jZ3Xz8mGhedTpl2XE7k61SeKRYbB3tn6kRe36pkfsbiVKd1ikd0bkIDlFrM89qsTkXnQYYoVm6CDLV6MXJZdpHj1QLRdlw2LaLyidtg4KIqLHyKE7Nj8tifupM6Al/i4dWeMWxwjAUsNsl5yTM2IcQjilJf02OJWPaO8pJcXt3o7WQ9IwHIrGx771WlS8qDDFCs2QQdbvBi5TAIWr8J5246Ng7LoEj44NpyyvBCx94M7qr/aJRKnExsnGxYnzxmrjy4/aPjBMZV5GOmLYnEL2fT8+pkX1fXMz1jSy8KVvXWLRXZvQAKWakb55E8nIvMgxBQrNkEHW7wYuSy7SPHqgWi7LhsW0XhF7bBxUBSXuB3hQwKWLGeIO3zESMDiYyRioVN9olhEMu69DeXFe8xFnqhbXmT3BiRgibAkC2x0IjIPbkyxYhN0sMWLkcuyixSvHoi2k4CVHClsHBTlC4kQfKSIO6kxInxSi59+rQVsVLqsBzpxjGLh11w/LCgvfqDOf6ZueZFdD0jA4nMkKyx0IjIPcEyxYhN0sMWLkcuyixSvHoi267JhEY1X1A4bB0VxIQGLjxRxhwQsPkvGFs79WgtIwHKaNXf76VRPKBZ3ueLUO+XFKXLu9nNyIpcELHdz4pl3nSYlDzRMsWITdLDFi5HLfm1aSMAaeyNZWloI3d19YNu86ouvHdsclckwYUMClgxfRto62bA4fVayfrqsBzrNQYpFJcPV+aK8qMNSpSfd8iK7NyABSyWbfPSlE5F5MGKKFZuggy1ejFyWXaR49UC0XZcNi2i8onbYOCiKS9yO8BkbMcKGBCzZ+TRyXvm1FrAx6LIe6DQHKRans8ndfpQXd/F16l23vMiuByRgOWVOhvXTicg8aDHFik3QwRYvRi7LLlK8eiDarsuGRTReUTtsHBTFhQQsPlLEHRKw+CxJbkEnsJwid3k/neYgxaKGE6q9UF5UI6rGn255kd0bOBKwQqHQTwCgJBwO/+mcOXPmRaPRnwPAZADYMTAw8HBHR8eZUChUaNv2vwNAPQCcjkajD7W1tbWytJmm+RQA3HfxV5DvRCKR1ey/Q6HQA7ZtPw4AuYZh/DIcDj/B/r6urq4xEAg8N/oZPApg2rDoRGReXjHFik3QwRYvRi7LLlK8eiDajmk9EMUE23yTwYUELD5a2OoXH5HMEBdUf3peNm4RexKwRFDi2+g0BykWfr79sPAzL6prmZ+xqM6dbrHI7g2kBSzTNFcAwAuGYaxmApZpmi0A8JeWZW02TfOHTHyyLOv79fX1zwQCgR4mQoVCoWbbtp+0LGuJaZr3GobxzXA4fNvcuXPLhoaGtgwNDS20bXt8bm7uB7m5uQt37tx50jTNN23bfjoSiawd6xk8MmDasOhEZF5eMcWKcYOJKb+YYo1zWXaR4tUD0XZM64EoJhjriww2hE9qtLDVr0znTv+5IXh3Rye0WMdggTkVbpxXDgXjcmSH7Yk9CVhqYNZpDlIsajih2osfeXGrlvkRi+p86PjjmpP1QErAamxsnHL+/PnXDcP4TwC4OhqNPhYIBDZYllXLAK2trZ0VDAbXW5ZVZ5pmazQabW5razvI2tj/jsViNwcCgR8AAOvDTmexv3/OMIx32H/HYrHmSCTy9Yt//zUAWB6LxX6Q5BnvxJ+ZihiYNiw6TUreZMcUK8YNFKb8YoqVBCxeZfOnHRsHZVEmfMZGjLDJLIFv7bYOeGGtlRjUg6tMWNU0U5byntg72bCoHJgu+wOd5iDFopLh6nz5kRe3apkfsajLxOWedItF9sdtKQHLNM1fBwKBZ2OxWJVhGExc+ifDMH5iWdayi7AGTdPstyxrvGmaZyzLKmC61EVBamMsFvteIBB4jPUJh8Pr2N+HQqEnbNvuNwzDjsViBZFI5LGL9its2/4OADw+1jN4pNBlgeLFiU3k0GnSUm6vRABTfjHFSgKWyGz33gYbB2URJnxIwJLlTNzeS+6wV21+9Px22LO/NzHchqpiePShhRCLZd7nRUnAcsoqvTexunwR18u5r4ZJmVPn3axllBe32eLMv5P1QFjAMk3zGwDQYFnWX5um+TATsNjdV4FA4MejBKw+y7ImmKZ5zrKs/BEC1iYA+LZhGOxeqx+PFLAAoM+27aBt2/kjBSxmH4vFnhjrGTyYmIB1/DiOT4Oz5JeUFAKGeDHFGt/0Y8kttngxcrm0dJLwusOr8TLtmNYDGVywcVAGG2z1iLCRRSC1vddza83WK09g3XJt5p7A8mstYFnTZT3wmmNqZ8iVYpwu/9alvKTHFLdqGeUlvby41fuCsCi3NxDeSJimuQYAygEgahjGFNu22emqV9hrfpZlsYva2WXrMw3DWBeJREzTNNsAYJllWYdYG3uF0DCMZRcFqXXhcPj5i3//nG3b6wzDCF70xYQydjLrq7ZtL4tGo0/EX0sc/QwekGyB4tlQOyFACBAChIB3CBgGW6q8/0PrgfeY0xMJAULAOwR6T52FNR/uh227uqBpbhnccn0VFE8a790AJJ/k11oQF7Akh0vmhAAh4BEC2VbLPIJF68fIrgeONhLxE1gXL3H/BAD+wrKsTaZpPmbbdnEkEnkkFAr9FAC62SXuDQ0NN8disWcsy1pQX1//eQD4s0gkcmdNTU1pbm7ue9FodFFeXl4wGo1uicViN0yePPnE6dOn2ZcJ/yEcDr9qmmbSZ/AyqcsvLLw4WbtOqjIvXkyxYssttngxcln2VxZePRBtx7QeiGKCbb7J4BK3xTZHZTAibFKj5Qc+7PUb9icTXxsciZaTX9xluMmz1WU98INjPGydtlMsTpFzt59feXGjlvkVixsZ0i0W2b1B2gJWXV1dYzAY/Llt25MAYJ9hGF8Jh8N9s2fPnpybm/vPsVgsZBjG2UAg8Kd79uz5jCXRNM2/BYB7ACAAAD+0LOtX7O/r6+vvNwzjcQDIs237lUgk8ij7+7q6urnBYJCd1LrsGTxC0B1YPISys12nd5hFMkDxiqCUnTYYcyt7UaOqzGJaD2Qww8ZBGWziAp8u97LIxs6zJ+7wBSyvuOPWV7t4HHDa7uTOE6fPStZPl/VApzlIsahkuDpfXufFzVrmdSzqsnClJ91ikd0bOBKw3EyISt+6LFAimOhEZF68mGLFuIHClF9Msca5LLtI8eqBaDum9UAUE4z1RQYbwidzBBrZvGWCvZf13a2vdrmFIwlYapD1kmNqRjy2F0TP0HoAACAASURBVIrFbYSd+fc6L27WMq9jcYa4WC/dYpHdG5CAJcaTjLfSicg8sDHFinEDhSm/mGIlAYtX2fxpx8ZBWZQJHxwbTlleiNh7xR03v9olEqcTGxKwnKB2ZR+vOKZmtHgEccqLM8a4XcsoL87y4nYvJ+sBCVhuZ8Uj/zpNSh5kmGIlAYvHhuxux8hl2V9ZVGWYTmAlRxIbB2X5RPiQgCXLmbi9l9xx89SC0/hT9XOyYVE5Dl3WAy85phL/ZL4oFrcRdubf67y4Wcu8jsUZ4mK9dItFdm9AApYYTzLeSici88DGFCsJWDw2ZHc7Ri7LLlKqMqzLhkUVHn5sslWP3Qt/2OaoDKaETWq00sWHnUYQvYzdzXtjZDghaksClihS7nJMzSjUeEl3vqgZhRovFItzHFkte39nJ7R39kFVeSEsbiyHgnE5zh2O6El5UQKjcidO1gMSsJSnwR+HOk1KHoKYYiUBi8eG7G7HyGUSsDKLs9g4KIs+4TM2YoSNO+LC4LkhsHZ0wT6rG2rMUjDnlUGe4AZORvSSnQsq7Z1sWFQ+X5cfNHSagxSLSoar8+V1XtKpf7yovY6FN5502nWLRXZvQAJWOuzJoL46EZkHK6ZYScDisSG72zFyWXaRUpVhXTYsqvCI+8HGQVn8CB8SsGQ5k+7c2rHtEGxaG0k89qZV9TCvqcLpMDKyHwlYatKiU32iWNRwQrUXr/PiZv3zOhbVuRjpT7dYZPcGJGC5yS4PfetEZB5smGIlAYvHhuxux8hl2UVKVYZJwEqOJDYOyvKJ8CEBS5YzyQQswxB7HZCdoPrd8x9Dx/7exGNnVhXDPQ9dI/w6odPxetmPBCw1aOtUnygWNZxQ7cXLvIysf4GgAZOL8mHipPHwRw9eraT+eRmL6jyM9qdbLLJ7AxKw3GaYR/51IjIPMkyxkoDFY0N2t2PksuwipSrDJGCRgOWES9jmqAxGhE1qtBg+4/JyYeu77VKvA7p5AkEmv27akoClBl2d5iDFooYTqr14nRdW/9oj3TC5eAIcP3YaZtUUw1XXzhR+jTpV/F7HojoXI/3pFovs3oAELDfZ5aFvnYjMgw1TrCRg8diQ3e0YuSy7SKnKMAlYJGA54RK2OSqDEWHDF7B2f9wJ69/YkzAUeR3QzTtgZPLrpi0JWGrQ1WkOUixqOKHai9d5YfXvs60d8OGmdqm6KRK317GIjMmpjW6xyO4NSMByypwM66cTkXnQYoqVBCweG7K7HSOXZRcpVRkmAYsELCdcwjZHZTAibFKjFQwa8Movnb8OmC0XsstwJm5LApYT1K7so9McpFjUcEK1F6/z4uZr1F7HojoXI/3pFovs3oAELDfZ5aFvnYjMgw1TrCRg8diQ3e0YuSy7SKnKMAlYJGA54RK2OSqDEQZs0hGRGD5OTmDJ5CBbbUnAUpM5neYgxaKGE6q9+JEXt16jdiOWdNaIdHLlRizpjCedvk7WAxKw0kE8g/rqRGQerJhiJQGLx4bsbsfIZRKwMouz2Dgoiz7hMzZiOmPTf24I3t3RCS3WMVhgToUb55VDwbgcKfowfJzcgSX1kCw1drJhURmqLj9o6DQHKRaVDFfny4+8uPUatcpYVKwR6WRJZSzpjENFXyfrAQlYKpDPAB86EZkHJ6ZYScDisSG72zFymQSszOIsNg7Kok/44BSw1m7rgBfWWongH1xlwqqmmVL0Gckd0a8QSj0gi42dbFhUhksClko01fjSqdZSLGo4ofp0k8q8qFgj0kFJZSzpjENFXyfrAQlYKpDPAB86EZkHJ6ZYScDisSG72zFymQSszOIsNg7Kok/44BOw2KbpR89vhz37exPBN1QVw6MPLZT6lHs63FG9cZPlvdv2TjYsKsdEApZKNNX4Sme+qBmBOi8US/pYulEDVeVF1RqRDkqqYklnDKr6OlkPSMBShb7PfnQiMg9KTLGSgMVjQ3a3Y+QyCViZxVlsHJRFn/DBJ2CxiFX8uu6EO36/liI7P5zaO9mwOH1Wsn4kYKlEU40vJ/NFzZPVe6FYnGPqZg1UmRcVa4RzlABUxpLOOFT0dbIekIClAvkM8KETkXlwYoqVBCweG7K7HSOXScDKLM5i46As+oQPTgFLxSbKCXf83hTJzg+n9k42LE6fRQKWSuTc8+Vkvrg3mvQ8UyzO8WM18MV1ESgtyodjvWfgiyvqpV/fHuvpKvOiYo1wjhIJWCRgpcOeDOqrclJmUFhJh4IpVhKwMp2N6Y0PI5dJwEqPM6p7Y+OgLH6ED04BKx6109dYnFxCHH8tpf3ISaifVQzh/b0wu2Ky9KuLshz3w54ELDWo61SfKBY1nFDlJScnAENDMU9P+rAa+J9rLSgasqH/2GkomDoRTuQY8OVVptTr214IWOmuEenmSbf5Irs3IAErXQZlSH+diMyDFFOsJGDx2JDd7Ri5LLtIqcqwLq+MqMIj7gcbB2XxI3xwC1iyfInbO/0M/MeH98O+cztg34l2qCmqhorgXGgsmyX9BUSn4/aqHwlYapDWqT5RLGo4ka6XE0M9sPnIB2B17wWzdDYsnXED1JdXQXd3H9h2ut75/d/f3A4tm9sThguWVsOipdX8jgIWxDEBkHwwcbIekIDlQ6LceKROk5KHD6ZYScDisSG72zFymQSszOIsNg7Kok/4kIAlyxl2iuB3z38MHSMugZ9ZVQz3PHQN9xTB6oNvwBuR9YlH3jL7ZpjUOx+aF8h9AVF2zF7bO9mwqByjLj9o6FSfKBaVDHfua3QNuqO+Gf5k4Rc9EbBY7Xzlly1w6MCJRAAVlUVw71cXcGunSMTEMRGUvLdxsh6QgOV9nlx5ok6TkgcQplhJwOKxIbvbMXKZBKzM4iw2DsqiT/iQgCXLGfb64KcfdsBHWy6dIrj+pmpoWpL6FAF7Zefpj34Gbb37E4+sLa6CqtO3wwPLa5Vs4GRjccveyYZF5VhIwFKJphpfOtXabI1lrBr0d7c86pmA9d47e2H7u5dq4LVLquGaG2ZBbl4wbaJla16SBa5bLLJ7AxKw0p4OmeFAJyLzEMUUKwlYPDZkdztGLssuUqoyrMuGRRUecT/YOCiLH+FDApYsZ1p3HYXOQyfBjgEcP3YaSqZOhGCOAUtX1XNFqCtOYNXeDOVnmuCGhjLZYWS0PQlYatKjU32iWNRwIl0vfp/A2rQmArGonaidRgCgrGIS1M9NvwYSx9Jlhzv9nawHJGC5kwvPveo0KXngYYqVBCweG7K7HSOXScDKLM5i46As+oQPCVgynGGvwLz6wicwuSgfdn16ePj/n+w9A0tW1MG8pgquK3b/zMZD70Nrz77hO7DOHqmAKXmlcOu19AohFzwJA11+0NCpPlEsEgR20dTvO7A+23YI3l3Xmqidc6+eAb29A3DvV/ivYPNgIY7xEPKnnQSsUbjrskCJ0EmnScmLF1OsJGDx2JDd7Ri5TAJWZnEWGwdl0Sd8SMCS5Qy7wL090g1FJQVw7ux5KC7Jh3lNMyFvXA7XFRPA/vWNPXDi9DnYva8HBodi0FBVrN2XCJ1sWLjgSRjosj/QqT5RLBIE9sA0Ly8Ig4NRT79CyMI6PxiF7e8fgK6Ok8DuDjxy6CQUlBbA51bWcU+w8mAhjvEQ8qfdyXpAJ7D8yZXyp+o0KXngYIqVBCweG7K7HSOXScDKLM5i46As+oQPCViynGF3YB1o64FjnX3D/zfbLAXzqnKugDUQ7YcPjm6Djzt3wtRgFXRGSmBXpB8eXGXCqiY6gSWbh1T2JGCpRFONL51qbTbHEq9Dnx7dCfOnNcKisiaoLCv35A6sOJN2tx2H04f74NCBXpg+swgKKybB3LqStImWzXkZHbxuscjuDUjASns6ZIYDnYjMQxRTrCRg8diQ3e0YuSy7SKnKsC4bFlV4xP1g46AsfoQPCViynGH27BTWprWRRNebVtVzXyFcf2Qj/Gb36kSf5hkroXhgLixqLIcCgdNbTsbpVx8nv7irHKsu64FO9YliUclw575G16EH5twFD8y/01MB69OtHbDl7dZEEEtW1sF8Ba9RE8ec88LNnk7WAxKw3MyIh751mpQ82DDFSgIWjw3Z3Y6RyyRgZRZnsXFQFn3ChwQsWc6w1wB/9/zH0LG/N9GVvQpzz0Nj3+HC+jzT8ixYx/cl+pglNfDIgm+l/dqM7Pi9sHeyYVE5LhKwVKKpxpdOtTZbYxmrDj258rueCVhO6qcoA7M1L8ni0y0W2b0BCViirM9wO52IzIMaU6wkYPHYkN3tGLksu0ipyrAuGxZVeMT9YOOgLH6EDwlYspxh9ipOYH1hzl3QPH2Zk8dnfB8SsNSkSKf6RLGo4US6XjLhBJaT+ikSN3FMBCXvbZysByRgeZ8nV56o06TkAYQpVhKweGzI7naMXCYBK7M4i42DsugTPiRgyXKG2bN7sKwdXbDP6oYadgfWvDLhO7Did8/cMK0JJgQLnDw+4/s42bCoDEqXHzR0qk8Ui0qGO/eVCXdgOamfIhETx0RQ8t7GyXpAApb3eXLliTpNSh5AmGIlAYvHhuxux8hlErAyi7PYOCiLPuFDApYsZ+L2waABU6ZMlHr1hr0+w/7E/38sZtMrhE4TkKIfCVgugJqmS51qrQ6x+PUVwjiN2POHfwwYjKbJrEvddchLPBrdYpHdG5CApWxa+OtIJyLzkMQUKwlYPDZkdztGLssuUqoyrMuGRRUeOv4jSDU2GOuvDIbY6pcoNv3nhuDdHZ3QYh2Da+eWwaI502BCXk7K7vE+dl4fnJ20D1p79kHdlBrIO1UDcHYi3DR/ulYXuTv5xV0UfxE7XdYDneYgxSLCXPdtTgz1wOYjH4DVvRfM0tmwdMYNUF9eJSXEpzPKrhNnYMuOTgjv74X6WUUws2wimBWTYcrEcem4He5LHEsbQlccOFkPSMByJRXeO9VpUvLQwxSrbgWXl1ts8WLkMglYIrPAOxtsHJRFlvAZGzHCJjk2a7d1wAtrrUTjg6tMWNU0MyX1WJ+XN7TCqvv64e19GxK2K2uWw9qXC+C+5XVcH7Lc9tPeyYZF5XhJwFKJphpfOtWTbI5l9cE34I3I+kRS76hvhj9Z+EXPBKzfbtoHq7dc+pjF7YurYXxeEO5eXJU20bI5L6OD1y0W2b0BCVhpT4fMcKATkXmIYooVm6CDLV6MXJZdpHj1QLRdlw2LaLyidtg4KIpL3I7wIQFLhjPs1b8fPb8d9oz4AmFDVTE8+tDCMV8FjPfJzQmAXbcZ2nr3Jx5ZW1wFRutSOD8US+lDZoyZYEsClpos6FSfKBY1nEjHS05OAJ7+6GdX1KC/u+VRTwQs9trgD//1I4gcPJEIo35mEdTOmgxfWVEPQ0OxdMKjE1hpoedeZyfrAQlY7uXDU886FX4ecJhixSboYIsXI5dJwOJVOG/bsXFQFl3ChwQshgATmdh9VCJ/nJ7Aeml9K9x6/5UnsN56qQDub6YTWCLYi9ro8oOGTvWJYhFlr7t2mXgCKy/PgHsW16QdOHEsbQhdcUAC1ihYdVmgRNii06TkxYspVmyCDrZ4MXKZBCxehfO2HRsHZdElfHALWCPvs1pgToUb55Vz76KiO7D4s8zJhoXvVdxCl/2BTvWJYhHnr5uWGXcH1rSJUFNeCGVF+WmHTRxLG0JXHDhZD+gEliup8N6pTpOShx6mWLEJOtjixchlErB4Fc7bdmwclEWX8MEtYH2wuwtWv9sOnccHIBqzQeQ+qzhi9BXC1Nzxay1goyIBS7YSum+vU63VIRY/v0K48ZMO6DszBAe6+uGTyDFlJ1B1yEt8JuoWi+x6QAKW+zXZkyfoRGQeYJhixSboYIsXI5dlFylePRBt12XDIhqvqB02DoriouM/EmVj59nrzB12imrzZ53QEj4KldMnweSCXNi1r5cJH8J3UcniMxDthw+OboNPj+6E+dMa4YZpTTAhWMBLQ1a2O/nFXWWguqwHshxTiaFqXxSLakSd+RtdhxaVNUFlWbknd2CxEff2n4M/bDsEkQMnoG5WEQxFo3Cw67Rw3U0VNXHMGSfc7uVkPSABy+2seORfp0nJgwxTrNgEHWzxYuQyCVi8CudtOzYOyqJL+IyNmM7YjL7HavmCiuF7sGaUTIAVC1N/UdCp+Ln+yEb4ze7VCcC/MOcuaJ6+TJayWWHvZMOiMjASsFSiqcaXTvUkm2MZXYcemHMXPDD/Ts8ErJe37IPXNl3+FcLSSXnQvECs7pKApWY+eunFyXpAApaXGXLxWdlcLGVhwRQrNkEHW7wYuUwClmzFc9ceGwdl0SR88AlYyb4kWDezCKYWj4c/vrUBxuUEhGgkwx32zGdangXr+KWNm1lSA48s+Jbw5fFCg8oQIycbFpVDJwFLJZpqfMnMFzVPdM9LtsYyVh16cuV3PRGw2FcQn/i3rZd/hXBWEXznKwshR4Fika15ScZU3WKR3RsooIN7BSBdz7osUCI46ERkXryYYsUm6GCLFyOXZRcpXj0Qbce0Hohigm2+yeASt8U2R2Uw0hmb+AmsnKABpUX5MKdqCkwvnQArBU9fOZlbdAJLhn3p2eqyHug0BymW9DitqncmnMB649324bp7rPcM3LGkGu5bkv4XCJ3UZFWYuuFHt/kiuzcgAcsNVvngUyci8+DDFKtuBZeXW2zxYuSy7CIlwhkRG102LCKxythg46AMNtjqEWFzCYGe0+fg49Zu6Ow5Awc6T0FjTQksuaocpkwcJwxTfG719JyGaNTm9qM7sLgQKTPQZT3QqX5TLMronZYjv+/AOtwzAO/t7ALrQC+YlcWwuLEMZkyZkFZMOv4gpdt8kd0bkIClZEr470QnIvPQxBQrxg0UpvxiijXOZdlFilcPRNt12bCIxitqh42Dorjo+A9e2dh59jpzh53AOtzdD1s+PZw4CfDFFfWwqkn8HpbBaAy27OyEj3Z2wQJzKtw4rxwKxuXwYB2+aysW4wteXEcZbECvEKpJjk5zkGJRwwlVXtjrfENDMfA6Ly9v3gdvvDfiBNaN1XDfUjqBNTqvXudFFa+S+XGyHpCA5WZGPPStE5F5sGGKlQQsHhuyux0jl0nAyizOYuOgLPqEz9iI6YoNE5D+6bWdMD4vF2KxGBw61g8VUwsgGAhATcUkuKa2JKUQFT/B8HHnTpgarILOSAnsivTDg6tMKQFMlqvZZO9kw6IyPl1+0NBpDlIsKhnu3JefJ7CYaPavb4Qvq7uBQAAeXFlPd2CNSqlu80V2b0AClvM5nlE9dSIyD1hMsZKAxWNDdrdj5LLsIqUqw7psWFThEfeDjYOy+BE+OAWsX61vBQBj+CRA/M8dN1bDHz46AJ+/uS6lEDX6DpnFpTfDxrfygV0E/+hDC7mnq+InsNj/Z390PI1FApZsJUpur1N9oljUcCJdL37egcUErF+tb4PXt1z6mMWdS2qgoWoSNFaWpBua56fJ0h5wCge6zRfZvQEJWG6yy0PfOhGZBxumWEnA4rEhu9sxcll2kVKVYRKw9N8AqeLKSD/Y5qgMhjpj88ne4/DG+/vBOnAiAUn9rCLoGxiEoonjxhSikn3Fq6aoGnq2LYTmhTNTCl/xkw+fHN0JdVOqYeDcGQgMTYSZOQ1w1awZQq8fyuTPT1sSsNSgr9McpFjUcCIdL6x+/X3LsxAZ8TXU+ik1UHj4ZqgsKxR+DdrpGJiA9eQvtl5Wd83KImionAKfX1aTtphPHHOaGXf7OVkPSMByNyeeeddpUvJAwxQrCVg8NmR3O0Yuk4CVWZzFxkFZ9AmfsRHTGZv+c0OwZutBeG3TpZMAyxdUwOZPDgPvLqzRJxiaZ6yEooG5sLgx9R1Yo/stqbwO3u/YDsumL4fi/nmwQuILiLI899reyYZF5Rh1+UFDpzlIsahkuHNfrx14Hd5s3ZBwcGvdclj724nQfzbqyWvQv3u3HX63cW/i+XcvrYFJBbmwYoH4/YNjRU8cc84LN3s6WQ9IwHIzIx761mlS8mDDFCsJWDw2ZHc7Ri6TgJVZnMXGQVn0CR+cAhaLmolYW3Z0wvbw0eHX/84ORmFqUT4svSq1EDXyDpmF06+CG8oWQp6d+itayU5uzS6uhP7BAZiYNxGKOz8HX79zTtonEGT575a9kw2LyrGQgKUSTTW+dKq12RoLOwH1/J4XIQoxONLXBdMLyyAIAej6pB4+jnRDQ1Wx0GvQ6TCCfQF2wyeHYU97L7BTr7UzJoE5q0jJCdRszUsyPHWLRXZvQAJWOrMsg/rqRGQerJhiJQGLx4bsbsfIZdlFSlWGddmwqMIj7gcbB2XxI3zwClgsciYssU0d+8O+yCVzH9V54yx80LUNth35FOZPa4QbpjXBhGDBmIAmPYF1cBssq14EM88uhkVzymTpm7H2JGCpSY1O9YliUcOJdLywevfq/t/DmraNUJpfDN0DPXBL3XL46O0SONh12pMTWPHxjx9/4YutZ88OpRPSZX2JY8qgVOrIyXpAApbSFPjnTKdJyUMRU6wkYPHYkN3tGLlMAlZmcRYbB2XRJ3xwCljs9JV18AS0d/ZBeH8vVE6fBDNKJ8D82SUwZeI4IRq9c2QjvLh7dcL2C3Pugubpy8bsm7gDq2sHVBfPgrPnz0EMbJhZMAuaplyr5ASC0MA9MHKyYVE5LF1+0NCpPlEsKhnu3NfmY1vgwMnDiRNYlZOmw9YNhdA4u8T1O7DYqNkJrE/3HofD3QNw4MgpaKieAosby6CsKN95UBd7EsfShtAVB07WAxKwXEmF9051mpQ89DDFSgIWjw3Z3Y6RyyRgZRZnsXFQFn3CB6eAtb6lA7r7BuGNdy99hZDdgVVUOA7uubGaS6NkrwSaJTXwyIJvcU9xDcJZeL9zK+w/dRAqC2fCddMWpjy5xR1MBho42bCoDIMELJVoqvGlU63N1ljil7jv7T2QOIE1e0oV/O3K70J3dx/Ytppcp/LC7sA60XcONrQcSpjdtbQGPr+0Ju2HZ2tekgWuWyyyewMSsNKeDpnhQCci8xDFFCsJWDw2ZHc7Ri7LLlKqMqzLhkUVHnE/2Dgoix/hg0/AYpu4Fze0DX8JK3Lw0lcI2T1YU4vGwzfvnTf8OiHvj+wJrNH+2DhkXlnkjSeT2knAUpMNneoTxaKGE+l6Gf0q8wNz7oIH5t/piYDFXtf+x1d2wLETZ6G14/IvwD7+X66DwcFoWuERx9KCz7XOTtYDErBcS4e3jnWalDzkMMVKAhaPDdndjpHLJGBlFmexcVAWfcIHn4DFIv5DSwf0JDmBNbkwD+69UewkwJlYP2ztboHtRz4TugNLlpvZbO9kw6IyXl1+0NCpPlEsKhnu3NfIj1Cwu/sWlTVBZVm5JwIWG/Ur7+6Dk32DdAKLk0Ld5ovs3oAELOdzPKN66kRkHrCYYiUBi8eG7G7HyGXZRUpVhnXZsKjCI+4HGwdl8SN8cApYKu7ACgYNmDJlIvT0nIZo1IN3b2TJ7aM9CVhqwNepPlEsajihykv8BKjXeaE7sMQy6HVexEblzMrJeiAlYNXX1//IMIy7bduOGYbxL5ZlPTNnzpx50Wj05wAwGQB2DAwMPNzR0XEmFAoV2rb97wBQDwCno9HoQ21tba0sNNM0nwKA+9h/27b9nUgkMnzLZSgUesC27ccBINcwjF+Gw+En2N/X1dU1BgKB50Y/gwcTpg2LTkTm5RVTrCRg8diQ3e0YuUwCVmZxFhsHZdEnfHAKWPGo2SYu/n+ir68w8evdHZ3QYh2D6xvL4MbGcsgLXviSIf25gICTDYtK7HTZH+hUnygWlQxP35dfAharn+/v7ITDxwdgUWMZzCgpUPYBC+JY+rxww4OT9UBYwDJN8w7DML4bDoebq6urx+Xl5e0KBAK3xWKxXwHAX1qWtdk0zR8y8cmyrO/X19c/EwgEepgIFQqFmm3bftKyrCWmad5rGMY3w+HwbXPnzi0bGhraMjQ0tNC27fG5ubkf5ObmLty5c+dJ0zTftG376UgkstY0zZZkz+CBqMsCxYsTm8ihUwGi3F6JAKb8YorV700LpvVApK7EbbBxUAYbbGsrYXMlAiPFqAXmVKGvcK3d1gEvrLVgbn0BlNcfh2PR/XBNeSPcMK1Ju8vYZTkzsu749WMGG4Mu64FO9ZticTqb1Pbz+xVCVj8/jnTDtOJ8OHSsH+bUFMMt185SImIRx9RyRZU3VwWsi4MMAkB0zpw5VbFYbGM0Gl0SCAQ2WJZVy9pra2tnBYPB9ZZl1Zmm2RqNRpvb2toOsjb2v2Ox2M2BQOAHAMD6sNNZ7O+fMwzjHfbfsVisORKJfP3i338NAJbHYrEfJHnGO/FnpgJPlwVKhCA6TUpevJhixbiBwpRfTLGSgMWrbP60Y+OgLMqEz9iIYcAmLkbFUXhwlQmrmmaOCQo7tfCj57cPX0C87NYz8F738D9vh/98Yc5d0Dx9mSwFtbR3smFRCYQu+wOd5iDFopLhzn35eYk7q58/eaEFSovyL7sDi1d3RaMljoki5a2dk/VA+ARWPJRQKPSEbduPGIbx62g0+n8DgcDTlmXFV+SgaZr9lmWNN03zjGVZBUyXuihIbYzFYt8LBAKPGYbxk3A4vI79/UV//YZh2LFYrCASiTx20X4Fe70QAB5n9smewYNXlwWKFyc2kUOnAkS5vRIBTPnFFCsJWCKz3XsbbByURZjwwStgxcWoPft7EyA0VBXDow8tTPl1QCZ6rd/eAVOatsO+E+2JvmZJDTyy4FvafllQZm452bDI+OfZ6rI/0Kk+USw81rrfzmreMy3PgnV832V168mV3/XsEvf3dnXB+u2HLvsKoUjdFUGHOCaCkvc2TtYDaQGLhTVz5sz8CRMmrGYnp2zbXjVKXOqzLGuCaZrnLMvKHyFgbQKAbxuGwe61+vFIAQsA+mzbDtq2nT9SwGL2sVjsiUAg8ONkz+BBzBao48f7wEZwdyZLfklJIWCIK6v8qAAAIABJREFUF1Os8U0/ltxiixcjl0tLJzlad3j1nteOaT3gYTGyHRsHZbDBVo90xiZ+n4tsjEyM+o81VqIbOwlwy7Vjn8BihvHXDk9M2AXrD7+d6Ms+R988g05gxeeVX2sBe74u64FO9Ztika1O7tivP7wRXtw9fDX18B9Wtx6Yf6dn+0tWP9du7YAPdnbCsd4zEI3ZIFJ3RdAgjomg5L3NBWFRbm8gvJGoq6ubm5ubG9i9e/cOFpppmt+ybbvJMIxllmWxi9rZZeszDcNYF4lETNM02wCAtR26aN/KbC8KUuvC4fDzF//+Odu21xmGwV5PXG5Z1jfY34dCoa/atr0sGo0+EX8tcfQzeBCzBYpnQ+2EACFACBAC3iFgGGyp8v4PrQfeY05PJAT8RqD31FlY8+F+2LarC5rmlsEt11dB8aTx3GHF+3V190P++FywDvTCtRL92QN6z5yE9Xvfhe2dO2Bh+Txonn0jFOez7x3RH4aAX2sBezatB8RBQiA5AqxuvbPvPdh34iDUTJ4FN89e7GndOth5Ct76cD/s3tsDldMnwewZk2Dp1RVCdZtymr0IyK4HwhuJ+vr6+w3D+B8zZsxo7ujoCAYCAXYC659s2/4bAPgLy7I2mab5mG3bxZFI5JFQKPRTAOhml7g3NDTcHIvFnrEsa0F9ff3nAeDPIpHInTU1NaW5ubnvRaPRRXl5ecFoNLolFovdMHny5BOnT59m8u8/hMPhV03T/CTZM3hp0uUXFl6cF/4hQCewRHDKRhtMuSUuZyNDxcfs5FcWce+pLTGtBzKYYasvMthgq0c6YrNm64UL1eN/RH/JZ/1eXBcZvouFiVl/fPscuLGxjAvR8AXIXdvgk6M74eqyRlhZtxQCgzkQjdr06uAI9PxcC+IClg5vLOhUvykWbnnxxOBSDdsFV0+bCzeUN0HltHLPTmD9dvM+eG3TpVcY776pBj6/tEZJ7MQxJTAqd+JkPRAWsNhoQ6HQk7Zt3wcAQwDwK8uynqqrq2sMBoM/t217EgDsMwzjK+FwuG/27NmTc3Nz/zkWi4UMwzgbCAT+dM+ePZ8xP6Zp/i0A3AMA7LvCP7Qsi33JEC6KZI8DQJ5t269EIpFH2d+z01/BYJCd1LrsGTwEdXnHnRdn/B/ZpaWFnr2jLDImt2x0eodZBCOKVwSl7LTBmFu/vjyFaT2QmQ3YOCiDDba1VTdsnN5hxfo9v/4ziBYfgM6hdijPqYZgbyU81HwVV4QafQHy7fXNEDACYHW3wfyyubBo2nX0JcKLP7r6tRbEBazu7uy/YkSn+k2xyFZgd+zXHv4DvLLnrYTzextuha9cfa8n+8ucnAA88W9bIXLwROL59bOK4G8evhaGhoav1E7rD3EsLfhc6+zZHViuRaDYMaYNi06TkkcDTLFi3EBhyi+mWONc9mvTgmk94NXQke3YOCiDDcb6K4NPNnBH9iuC8fhf2/sHeLP90ibutupb4e7ZK1LCk+wC5LopVdB3rh+6+ruH+9KXCC9A6GTDIsNNnq0u60E2zEFeLuLtFIsoUu7ZsRr2/27/B2jtufTxibop1fDUqu95ImCxyF7ecuUJrPuWqDuBpcthD93mi+zeQOoElntTxh3PuixQIujoRGRevJhixbiBwpRfTLH6vWnBtB7waigJWOIIYZuj4shcECEyfTMQv1C9xToGC8ypcOO8cigYl8MVov6+5VmIjPgSV31JDfyVwBcE3zly+QXIzTWLYWP7BxC1L5weoC8RkoAlM8d4ttkwB3kxkIAlipD7dvn5ufDvu16E9fveTTysueZG+Ob1X/NMwOo6cQa2fNYJ4QO9EKoshiVXlUNZEfsmXPp/aL6kj6EbHpz8oEEClhuZ8MGnTpOSBx+mWEnA4rEhu9sxcln2VxZVGSYBKzmS2DgoyyfCZ2zEsgkb2a8Qjn4VUPTkFLs/Zt3hjRDuboPphWVQMqEYXt2zJgGiqB9ZnmabvZMNi8oYdVkPsmkO8vJHsfAQ8qZ9Q9cmONTXCUf6uoZrWEVhOXxh3h2eCVjs1OzLG1qhflYxhPf3wv3NdbCqKfWXX0WRIY6JIuWtnZP1gAQsb3Pk2tN0mpQ8kDDFSgIWjw3Z3Y6RyyRgZRZnsXFQFn3CRw8BSzbvvedOwXtHtkK4Nwwz82dDRXAOXF05g3t6iz2HiVifndgJ73dsh6umhWBg6Ozwaa6aiXVwa+1SyDcmyA5HO3snGxaVIJCApRJNNb50qrXZHMvhwQ7Y3vUZdPf3DAvwTeXz4eqKOZ4IWCPvLcwJGsMf0SgqHAffvHceFI7PTZto2ZyX0cHrFovs3oAErLSnQ2Y40InIPEQxxUoCFo8N2d2Okcuyi5SqDOuyYVGFR9wPNg7K4kf44BSw/rC9Aw4fH4Dd7T1wrPcMRGM2sC8YipwEYK8t7th3HI70nIGpk8fB0BAM/++GqiJYsUDNSQJZHmeaPQlYajKiU32iWNRwQsZLqpOpkyblwalTg56/Ks5OYH0c6YZpxflw6Fg/sEvcS4vHQfP8CpnQktoSx9KG0BUHTtYDErBcSYX3TnWalDz0MMVKAhaPDdndjpHLJGBlFmexcVAWfcIHn4DFNnU/X70LjvaeuexrWGZlETzyxWtgXA77gHbyP+z01dajn8EQnBk26Bvsh729B2DW5Bkwc9IMmF/USF8hpEvcZcvQmPY61SeKRRktuI5S3Q14aPAAbOv8DFqPt0NdSTU0lV8F11Q0enICiw381JnzsOajg/D7dy9dJL/y+kr441vMtL9ESBzjUsMXAxKwRsGO6Rd3nSYlb/ZgipUELB4bsrsdI5dJwMoszmLjoCz6hA8+AYtFvK6lA473DcIbIzZRyxdUQMXUAli5cOxTVBs6N0HXQDdMzCuAU+dOwab9HyYAXFJ5HVRMLIfl5TfJ0lA7eycbFpUg6LI/0Kk+USwqGZ7aV6qvs7564HV4e+9mKM0vhu6BHlhZexN8venLnglY7+/ugne2HwLr4IlEEOzHg+9/tQliMTstkIhjacHnWmcn6wGdwHItHd461mlS8pDDFCsJWDw2ZHc7Ri6TgJVZnMXGQVn0CR+cAta5oRi8+eEB6D87BO2HTw0LV+xElm3b8OhDC5NupNjJrdcPvAlnh87Bvt6DUFk0Aw73dUG4e+8wiLOLK2FaQQk83PCVtDdisjzONHsnGxaVMZCApRJNNb50qrWZHMvIe6bimWuoKh6ua+PH58K/fvoCRCGWuMQ9CAH4i8V/4omAxcb29AstUDF1Iqz98ECCWF9aUQ+3XjcrbaJlcl5kg9MtFtm9AQlYsozJUHudiMyDGFOsJGDx2JDd7Ri5LLtIqcqwLhsWVXjE/WDjoCx+hA9OAYtF/fb2DjgieQ/W6wffhN9H1iVAY6eu2GXu0VgU2H/PKCiHm6fTCSwSsGQrUXJ7neoTxaKGEyJeeCew3mrdkHBza91yT09gjb4Da05NMdxy7SyhD2jwYieO8RDyp93JekAClj+5Uv5UnSYlDxxMsZKAxWNDdrdj5DIJWJnFWWwclEWf8MErYLF7Yj5tOw7tnX2wv/MULDCnwdKrysfcSLHTA3/f8uzwFwfjf+qmVMOU/CIoyJsAsybNgKvoDqxhaJxsWGTnbip7XX7Q0Kk+USwqGZ7a11h3YCWrYfUlNfC3K7/ryQksNur42Pa098Cti6qgorRAiXil235Kt/kiuzcgAcu7euHqk3QiMg8oTLHqVnB5ucUWL0Yuyy5SIpwRsdFlwyISq4wNNg7KYIOtHhE2yRHIyQkMv/LHNndDQ7GUMK07vAFe2vN6wuae0C2wrGIpTAjko39tcCRwJGDJzrbk9jrVb4pFDSfiXsaPz4GzZ4dSOmW1bXRNW3fkHXgl/FbiDqx7G26DL82/2zMBiw245/Q52PTpEejqGYBpU/Jh2fwZMGXiuLQBIo6lDaErDpysByRguZIK753qNCl56GGKFeMGClN+McUa5zIJWLwK5207Ng7Kokv4jI2Y7tiwLwp+cHQbfNK1E2oK66GvoxwKcgpg+dVjb6Y+Pbwf2od2QFvPfqidUgVnBs9Cft54qC+ugaoJVfQFwot0crJhkZ27qex1+UFDpzlIsahheOfgYfiwsyXxFcHryxdAed6My5yn+grh7r6dEOndB63H90NdSdVw7Vo2e5GnAta6jw/Bwa7TcOhY//D9g7PKJsLnrqlIGyDiWNoQuuLAyXpAApYrqfDeqU6TkoceplhJwOKxIbvbMXKZBKzM4iw2DsqiT/jgFbDWH9kIv9m9OgHAjVObYcOb4+H2G6vhviU1VwDDTmitad8CrSd3QWhqHby8+02I2hdObLF7ZIrHF8FN05bIUlBLeycbFpVAkIClEk01vnSqtX7Gwr4iOPoOqz+qvPOyJI11BxarYS/vew3WtG1M2N9Suwy+ce2DnglY7FTYL9ZY8PaIS9xXXl8Jf3yLyT0By2Oin3nhjU22XbdYZPcGJGDJMiZD7XUiMg9iTLGSgMVjQ3a3Y+Sy7CKlKsO6bFhU4RH3g42DsvgRPjgFLLaRe6blWbBG3GdVW1wNRd1LoevoEPzNw9desZliff7X9v8DS6quhQ3t70Nb7/4EeLXFVXDN9EZYOaOZXiWkO7Bky9CY9jrVJ4olfVqw1wafeu+nV9Se7y/+74nXCVN9hZC1/WTrz6C151LtqptSBU+tetRTAevJX2wF68CJBCBmZRH8zz++subKIkYck0XMG3snP2iQgOVNblx/ik6TkgcWplhJwOKxIbvbMXKZBKzM4iw2DsqiT/jgFLBY1KNPYLGvCMKZiVDQNwfuubE6KTDsDiyrtw1mFJaNOgWxDHLsiXBH1c2yFNTS3smGRSUQuvygoVN9oljUMFzkBNbLW/bBa5sufWzi7ptqEqdKXzvwOrw54iuEt9Uthz9t+rJnAhZD4bX39sPLG9oSgNy3vBbuXlyVNkDEsbQhdMWBk/WABCxXUuG9U50mJQ89TLGSgMVjQ3a3Y+QyCViZxVlsHJRFn/DBK2CdsQfg9fY1sP9EB0wvLIPugeMQjdrwjTnfgMLxuUmBYfdmvd+1FQrG5UNX/7HEPTSzCiphzw4DHmq+ik5g0Qks2TI0pr1O9QlDLOyEE/sghJt/eHdgsTH8cq0F54diiTumcnMC8NVV5vCw/rP1JRiKReFIX9dw3csJBOHPb3jYUwGLXeK+8ZPDsGd/LzRUFcOyFPcOymCJgWMyeGSKLQlYozKhyy8sIgTTaVLy4sUUKwlYPDZkdztGLpOAlVmcxcZBWfQJH7wCFot8Xed62Lz/I+ge6Bm+z+rehlth1YwVXBqxe1w+bjsKA+ds2NnaAzk5BtTNnAyL55Zx+2IwcLJhUYmLLvsDneqTzrGkujRdJa9H+srPz4UzZ84ndc/uwHpxXQRKi/LhWO8Z+OKKeljVNHPY9u3D6+BVa23iK4R/1HALPDj/Hk8FLIbX+zs7ob2zD6rKC2FxYzkUjMtJGyqdOZY2OD46cLIe0AksHxOm8tE6TUoeLphiJQGLx4bsbsfIZRKwMouz2Dgoiz7hg1PAOnruGHzUtQ3yc8dBZ3934jRCRWE5LC+7aUxQ4l8u/PToTphdaEK4ZSLsivQP239ppQm3Xnthk4j9j5MNi0rMSMBSiaYaXzrV2tGxjHVpuhrkLvcysgbNn9YIN0xruuLrp6kEtS3HtsD+k4cTNa9q8gy4d+5tnglYbGxrPjoIr22+9IqjqtqpM8fc4JJXPp2sByRgeZUdl5+j06TkQYUpVhKweGzI7naMXCYBK7M4i42DsugTPjgFrFf3/x4+7twBBXkTYP/JQ4nTCNVFs2Dkhcij0Rl9b9bi0pth41v5MBS1h1+FefShha6/QiTLcT/snWxYVI6TBCyVaKrxpVOtHRmLYRjwo+e3D78OF//jZi0YXYO+MOcuaJ6+LGmSRr/SmJcXhB9/+DPYd+JgoubVFFfCU6u+55mA9d6uLli//RC0dlx+ifv3v9qUdu3UlWO2u2+lqpngKbw4WQ9IwHI9Ld48QKdJyUMMU6wkYPHYkN3tGLlMAlZmcRYbB2XRJ3zwCVhsE/ejD/4/aD9xEBbNaoItBz5KgHBr3XK4t/qupBupZF8urCmqhp5tC6Hz+AA8uMpMvKaTiode3JMjOw9U2zvZsKgcAwlYKtFU40unWitzAkvlfE9Wg8ySGnhkwbeExB/26vN/Rn4L6/e9m0hqc82N8M3rv+aJgMXG//QLLTC1KB82tBxKjOG2xVXw5eY6oRhSsVFnjqmZhf54cbIekIDlT66UP1WnSckDB1OsJGDx2JDd7Ri5TAJWZnEWGwdl0Sd88AlYLOLX9v8e3mx7B0Kls6F0Qgl0nT4GdVOqwZw4D0JTKscEZfTph9trboU9H5bA1XWlcOO81Pe4+HFPjux8UGXvZMOi6tnMDwlYKtFU40unWjs6lmRzm6H27o5OaLGOwQJzKrc+iKIscwIrmc9NRzfBwVOdiVcIZ00qh8833uGJgMXGw76Q2HrwJEwrzh++ZD5UWQwV0ybAoob07w/UmWOi/MhEOyfrAQlYmZhJB2PSaVLywscUKwlYPDZkdztGLpOAlVmcxcZBWfQJH70ELNHTDt2Dx+HdI+9Da0871JVUQ1nBVDh2qh9WVNwE+XljXyY88v6Zq6c1wsr6pWCcy4Hz52Nc6nl5Tw53MC4bONmwqBwSCVgq0VTjS6daO1YsI+uPW/Nd5A6sVBn79OQn0H7yEPQM9ELxhCKomTwTVtQt9UTAGvmFRHZqNVRVDANnz8P9y2thXE4gbaJh4FjaIPngwMl6QAKWD4ly45E6TUoePphiJQGLx4bsbsfIZRKwMouz2Dgoiz7ho4eAJbupYxupn7X8XzACAEf7emBV/RLoO3sG7qi6Reg1Fta/f+g0bO1uge1HPgMmZl2f5DLlOLrM3st7cmTngWp7JxsWlWMgAUslmmp86VRrebF4Md9FxHr2yuDQ0CVxnfVZe+gPEAwAzCltgJZDuyA3NwBf9vArhKm+kJgu03h5Sde/l/11i0V2b0AClpdsc/FZOhGZBxOmWEnA4rEhu9sxcll2kVKVYV02LKrwiPvBxkFZ/AgfPQQs2ddq2Cs/G45shIriEhiMnofDfZ3Q1rMf6ktr4Kbpi6AoZwqXSu8c2Qgv7l6dsLut+lb4XMXyMT8H79aJDO5AfTAgAUsN6DrVJwyxeHECS4RZPafPwYZPDsOe9l5oqC6G5VfPgCkTxw133Xs2AjuOWtB6/MLp03nTTLhh1kJPTmCx57v5KjUGjonkP9NsnKwHJGBlWhYdjkenScmDAFOsJGDx2JDd7Ri5TAJWZnEWGwdl0Sd8sl/AcnKxMROT9h09CjOvOgaD0UFY27YpAcTt9c1w16zbU1KJPfPvW56FyPFLn4KvLaqBxeM/D4vnJr/Lxc2Nmyzv3bZ3smFROSZdftDQqT7pHIuXd2CJzBN2z9Rrmy7VprtvqoH7ltQAO5H1272vwVutGxJu2Icrvt70Zc8ErPiDWQ1lf2IxdZ/Y05ljInnPVBsn6wEJWJmaTclx6TQpeaFjipUELB4bsrsdI5dJwMoszmLjoCz6hE/2C1gsApkTWPHXe5oayqCveBvs7T0Abb37E0DUFlfBd6/7y8tevUmG0up9f4A39r2VaFo5axW0fzwNvv2la1JuykRe/ZHlcabZO9mwqIyBBCyVaKrxpVOtHR1LqtOVXs93JlI98W9bIXLwRCJx9bOK4G8evhbGjcuBJzY/c0W9+7tbHvVUwHJLzNeZY2pmoT9enKwHJGD5kyvlT9VpUvLAwRQrCVg8NmR3O0Yuk4CVWZzFxkFZ9AkfPQQs2Tuw2IZz4/YDcMOtJ2HIHnJ0Auv59Z9BtPgAdA61Q3lONdg9lVA3beqYJ7BkuZnN9k42LCrjJQFLJZpqfOlUa0fGYhiZd7/dWCewWCZfPfC67yew3HqdWleO2eoOqamZzJJenKwHJGBJgpyp5jpNSh7GmGIlAYvHhuxux8hlErAyi7PYOCiLPuGjh4AVP+UgetqB3RFjdZyEwopjMHD+zGV3YC2rWAyTA8VcKo2+jPiOJdVwy7WzxrwDi+tQIwMnGxaV4ZOApRJNNb50qrWjY3lrawf86m0rAdSXVppw67Uz1QDnwMtYd2Cx+mj1W7Dr2KU7sOZONWFxpXd3YLl5wb3OHHNAg4zp4mQ9IAErY9KX3kCSTcotf3gbfv3sTyHIGhX9GbBt+D8vvabImzM3OhUgEQQoXhGUstMGY25JwMosrmLjoCz6hE92C1iyJ6/i0TLxafWWvfCVL02Cls6PYFHldfBZ106YMn4G3FndLESjgcEheH/3Udi6qwsWmFPhxnnlJF5dRM7JhkUIdEEjErAEgfLQTKdaOzqW93Z1gXXwBBw61g8VUwvAnFWUEScx8/KCMDgYvSzLHx7/CE4NnoIls66H9Xs3wdSCqXBHw+c8fYWQTmDxJ55u80V2b6BO2eBj7bmFLguUCHDJiPzGS7+GitdehfE5OSIuhGw2nhmAbzz/ayFbt4x0mrQiGFG8Iihlpw3G3MouUqoyi2k9kMEMGwdlsGG2hE92C1gyd1/FI2UnAN78ZBecmbQP9vbug9op1XD2/DkoyJsAC0ubYHr+VCEaxbnT03MaotEsf8dDKGJxIxKwxLFKZalTfdI1lvgrhK0dJ6C0KB+O9Z4BdufUow8tVHpBuQyjUt0xFe7fA+HjbYmvEIZKamFp9XWeClh0BxY/m7rNF9m9AQlYfI5khUUyIv/uhV8C/ObXMC4YVBbDB/398Pjra5T5c+JIp0krEj/FK4JSdtpgzK3sIqUqsyRgJUcSGwdl+UT4ZK+Alezrg3NKa+F/LPwm9wL21/b/Ht5seycR/JLK6+D9ju1wS9VKuKtmhRCNiDupuePXWsBGpct6oBPHdI7FrRNFQoUoidFY42E185X21b7fgTXyxwT6CqH+/3Zz8oMGCVhOZ3+G9UtW+F/47X/Af4ZfgkCuuhNYZ/eegjeefcPX6HVa5ESApHhFUMpOG4y59WvTosuGRTXTsXFQFj/CJ3sFLDbykSewQqWzYXZxFbT1tMP8aY1ww7QmmBAsuCJA9pWupz/62WVf4ppdXAn9gwMwMbcQvnv9n3MFMOaUuEMClmy9kbXXiWM6x+LWiSJZvjD7VHdMsVcKn3rvp75/hdBJXCJ9dOaYSPyZakMC1qjMYNqwJJuUL63+DawJboGccbnKONvX0g2/+Pa/KPPnxJFOBUgkfopXBKXstMGYWxKwMour2Dgoiz7hk90CVvwOrJ3HdkN1cSW8EVmfCOgLc+6C5unLkga4+uAbl9kOn8A6uA1uqV5FJ7BkJ1ESeycbFgWPTbjQZX+gU33CEIvoRyRUcj2Zr1QnwjLhK4RuxY+BY25h56ZfJ+sBncByMyMe+iYBy0OwPX6UTgVXBDpM8WKKleXeySIlwhkRG102LCKxythg46AMNnHOlpYWenr/h+wY/bL3iztONoHsVNX/2v6P0HPmJHQP9EDUjoFZUgOPLPhW0ntoTgz1wOYjH0Dk+N7EHVgTcybD4vLroHjcJCHI/cJHaHA+G/m5FrDQdVkPdOIYxeLdpBzrRBirrS29LbD/5KHEHVhVkytgZd1NQmugk9rsXdR6nYrVbb7I/rhNApaXM8fFZ5GA5SK4PrvWqUiJQIkpXkyxkoAlwn7vbbBxUBZhwmdsxLzGJp3XcNhJrHWHN0K4uw2mF5ZB98BxuGrq3DFPYMWjZsIXu4OFbcyGhmJS9PEaH6nB+WxMApaaBOjEMYpFDSdkvCQTnNhXCA+cOgxF4wvhxNkTUDVpFvcrhOnUZpnxpmtLHEsXQXf6O1kPSMByJxeeeyUBy3PIPXugTgVXBDRM8WKKlQQsEfZ7b4ONg7IIEz6ZI2ClcxHy6K8R3l7fDJ+bsSzpHViyHBnLnriTmjuyv7irygvzQyewVKKpxpdO8yWbY1l35B14affvE0m9f84d8KX5d6c8gZVObVbDHjEv2ZyX0RHqFovsekAClhjnM96KBKyMT5HjAepUpERAwBQvplhJwBJhv/c22DgoizDhkxkCVqqLh3lfqUr2NcJUrw/KcoQELHnEnPziLv+UsXuQgKUSTTW+dKq1mRCLk9f5xqqVT6787pgCVjq1WQ1zxL1kQl7ER5vaUrdYSMAakW9dFigRspOAJYJSdtroVKREMoApXkyxkoAlwn7vbbBxUBZhwiczBCw2Cqe/8sdfHxS9wF2WIyRgySNGApY8Zsl66FSfKBY1nIh/uOLToztTfm11rKeNPq36wJy74IH5d9IJLDXpUeZFt/lCAhYJWGDbF0CgrxAqqxO+OtKpSIkAiSleTLGSgCXCfu9tsHFQFmHCJ3MELKf3rLAN2WfHdkHphBI40tcFodJaR68Pyp5oIO6k5o7shkV27qay1+UHbp04RrGoYfhoASrV11aT1bTRAtiisiaoLCtPKWA5rc1qIhb3QhwTx8pLSyc/aNArhF5myMVn0QksF8H12bVOBVcESkzxYoqVBCwR9ntvg42DsggTPpkjYMVHIiMkjXwlJhgIQml+MRTnT4b/fs3/k/Trg8midbo5I+6QgCVbb2TtdeIYxSKb/SvtRV+XFqlp8TorkxeZ2px+tPIeZGKR9+5tD91ikf1BgwQsb/nm2tNIwHINWt8d61SkRMDEFC+mWEnAEmG/9zbYOCiLMOGTeQKWbA5lTiQk8+301UXiDglYslyVtdeJYxSLbPaT24vUO5maRnlRkxfVXnTLCwlYIxiiyxFhEdKTgCWCUnba6FSkRDKAKV5MsZKAJcJ+722wcVAWYcInswSsnJwADA3FpNIYfyVm57HdcH1FE8wrmiP89cF0Ligm7pCAJUVUB8Y6cYxicUCAJF14d2CJ1rS8vCAMDkaB8qImL6q96JYXErBIwKI7sFRXCZ/96VSkRKDEFC+mWEnAEmG24mI6AAAgAElEQVS/9zbYOCiLMOGTGQLWiaEe2HLkQwh3tw3fYbVk+vVQlDNFOJ1sU7fr5B4IH49AxcQKuH7aQmERS+a0wsgBEXdIwBImqENDnThGsTgkwRjdUr3Ol6qmHTvfBe93boPW4+1QN6UaFs1ogrnT61LegaV25O55I465h206nlleSMAiAYsErHRmUQb21angisCLKV5MsZKAJcJ+722wcVAWYcInMwSs33e8Ba9bf0gM5k5zBdwx81ahdDLx6p0jmyHc3QqzJs+AwnGFUDxuMlxfcp1Qf5H7YpI5Iu6QgCVEsDSMdOIYxZIGESS7pqppbx5aA6+F3054vDu0Er52zf0kYEli7La5bvOFBCwSsEjAcrtqeOxfpyIlAh2meDHFSgKWCPu9t8HGQVmECR//BSz22uBPtv5vaO1pTwyGnQz4zrV/IfQ64TtHNsKLu1cn+i6pvA7G54yDL8y+R/gid9ZZ9oJi4g4JWLL1RtZeJ45RLLLZT99+dE1jrw3++MOfXVFrn1r1PRKw0odbqQfd5gsJWCRgkYCltET470ynIiWCJqZ4McVKApYI+723wcZBWYQJH/8FLLbJ+nXby7B+37uJwTTX3AhVk2ZBY1FDylcBk32Va3ZxJUydMAX+ZM5DUgIWcUcWARKw1CGW3JNO9YlicZstfP9MwPqP8EtX1NpvXv81ErD48Hlqodt8IQGLBCwSsDwtIe4/TKciJYIWpngxxUoClgj7vbfBxkFZhAkf/wUs9grgtuMtcPDUETjS1wXTC8ugZEIxvB5+G+5tuA0+N/3mlGkd/VUudgJr8rhCuHPWbbJ0kLIn7pCAJUUYB8Y6cYxicUAAF7psPLoJOk51JmrtzEnlcH/jHSRguYB1Oi51my8kYJGARQJWOhUhA/vqVKRE4MUUL6ZYScASYb/3Ntg4KIsw4eO/gMUEqB3H9kDdlCo4NzQIg7FB6Dx9DMLde6F+SjX81cI/T3mS6ow9AGsOrIO9vfsTd2CdOnsKvlR3P53Akp0QiuzZvJLdsCh69LAbXb5SrlN9olhUMtyZL/a69n+EfwPs04O5gSCcj50HsA3480UPk4DlDFLXeuk2X2TXA8M1ZDPAsS4LlAiUyYj80urfwJrgFsgZlyviQsimr6UbfvHtfxGydctIp0krghHFK4JSdtpgzK3sIqUqs5jWAxnMsHFQBpu46FpaWqjFP95lY+fZe8Gd+CuA9VNqYMgegraeA1A2cSp0DxwfFrBW1i6F+2v4d1lt6NwEmw5+yJQLONrfDfc13AHN05fxQky0y95/RdxJDS0JWMLUS2noxRxUM1K+F4qFj5HbFuwVwrUH18Ohvi46geU22Gn6122+yO4NSMBKk0CZ0p0ErEzJhPpx6FSkRNDBFC+mWOMbOtlFSoQzIjYkYCVHCRsHRbgy0obwGRsxr7DZ2LUZes72wtq2TYnBsDuw8oJ5ML1gGlxXci03rew1xA+OboNPj+6E+dMa4YZpTSnvzoo7ZKe33u/cKt2PBCwSsLikVGDg1RxUMFSuCwyxOBHCucApNnj94Jvw+8i6Ya+h0tlQU1QJe08cgKunzoXrBeum4iEpc4eBY8rA8tCRkx80SMDyMEFuPooELDfR9de3TgVXBElM8WKKlQQsEfZ7b4ONg7IIEz7+C1jRwCD8dNvPoa13f2IwtcVVcE/oVpg+brqQEBXvKLqBZJ+Zf39nJ/RO2AXrD1/6pPwX5twlfHKLuJOaO379mMFGpcsPGjpxTOdY4vWkvbMPqsoLYXFjORSMy5Fdjly3Z68QPv3Rz4ZrbTAQhEUzF8KWAx8lnitT/1wfrIMH6MwxB3BkTBcSsEalQpcFSoRhJGCJoJSdNjoVXJEMYIoXU6wkYImw33sbbByURZjwcUfAEhWS4k9fffANeCOyPjGYO+qb4c5Zt8umU9h+7bYOONB1Gk6Wr4e2E/sS/cySGnhkwbeE7s4i7pCAJUw4h4Y6cUznWN7b1QXWwRNw6Fg/VEwtAHNWESyeW+Yw62LdZGvs6FpbVlAKBXkTYG/vAUf1T2yU3lrpzDFvkVT7NNcFLNM0/8q27f9iGAbThj6qqKj4b11dXQ3RaPTnADAZAHYMDAw83NHRcSYUChXatv3vAFAPAKej0ehDbW1trSxk0zSfAoD72H/btv2dSCSymv13KBR6wLbtxwEg1zCMX4bD4SfY39fV1TUGAoHnRj+DBx8JWHQHFo8j2dCuU8EVwRtTvJhiJQFLhP3e22DjoCzChI9aAcvpq3zHznfB+0e2QuR4O9SXVMOi6dfC1Fx3NoBs4/eTF1pgWvEEMMpb4b3udxIgyJxAIO6QgCVbb2TtdeKYrrEYhgHPvx2BtR9eEoJWXV8JD62sFxLCZTnhtMbGnxOvtey+wdlTKuGt1g2O6p/suL2w15Vjtu0Feu49w1UByzTN6wDgucHBwRva29vPmqb5b4ZhtNi2/TAA/KVlWZtN0/whE58sy/p+fX39M4FAoIeJUKFQqNm27Scty1pimua9hmF8MxwO3zZ37tyyoaGhLUNDQwtt2x6fm5v7QW5u7sKdO3eeNE3zTdu2n45EImtN02xJ9gwelCRgkYDF40g2tOtUcEXwxhQvplhJwBJhv/c22DgoizDho1bAYl8U/M3u4d8sh/+ICkKs36vWGqifUgWR4/vgj0K3Cb/KJ5tzZs9OTKzffgjy8s9Def1x6Bxqh+oJdXBnaCnkGxOEXBJ3SMASIkoaRjpxTNdYmID11C+3gXXgRCLTZmURfP+rTa4IWE5rbHxwI2st2ABVxTOhtXc/3YGVxjx1o6tu80X2lXLhO7Bqa2vrgsHgdMuyhm/RNE3z24ZhNNq2vdyyrFr2d7W1tbOCweB6y7LqTNNsjUajzW1tbQcv2rfGYrGbA4HADwBgg2VZ7HQW8/OcYRjDP2/FYrHmSCTy9Yt//zUAWB6LxX4QCASY/chnvBP/36lIQQIWCVhuFA2vfepUpESwwxQvplhJwBJhv/c22DgoizDho07Ain9R0Dou90qe036yuR5pz+6sWbP1ILy2aR/kBA0oLcqHzzXNhJULZwq7Je6QgCVMFoeGOnFM51je2toBv3rbSmT5SytNuPVa8VoiSo90a2Wy/nNKa+GHK/5aiy/x6swxUY5kop2rJ7BGBlxbWzstGAx+YBjGP9q2fZdlWfFvEQdN0+y3LGu8aZpnLMsqYLrURUFqYywW+14gEHjMMIyfhMPh4U8chEKhJ2zb7mevJcZisYJIJPLYRfsV7PVCAHic2Sd7Bi8JJGCRgMXjSDa061RwRfDGFC+mWEnAEmG/9zbYOCiLMOGjTsBinpyeDnDaTzbfo0Wsd3d0Qot1DBaYU+HGeXIXLxN3SMBKh38ifXXimM6xMEE8nVoiwoW4Tbq1cnT/B+bcBQ/Mv5MELJkkeGCr23xx7QRWPBcNDQ3VsViMnf/+ZSwW2xAIBH48Slzqsyxrgmma5yzLyh8hYLGTW+zUFrvX6scjBSwA6LNtO2jbdv5IAYvZx2KxJ8Z6Bo8fTMA6frwPsv3dUF6c8Y1hSUkhjIz3pdW/gbcCWyBnXK6ICyGb0y3d8Iu//hchW7eM2KQdHatbz8oEvxRvJmTBnTFgzG1p6SThk78qUce0Hsjgho2DMtiMtbbK+tDV3gl3hu9n6doGnxzd+f+z9+bxcR5VuvDTWizJsqzVWmxLsraWvOB9d+LdSWwngAlJJgSGYQbmgwAzXwgTcrkzcIdAJgNf4GOYZLgXBgaGEEJiDIkTr7HjeN9jbNlWt7XLtmyttlbbUvf9VTvdbrW7+616u/rt7npP/wOxTi3nOU9VdT1ddQozcqdiQd4crlcEvcvNzJuGxQXzMArJhkCrNxmyHnwMcSgKGrm9+YrMWsDcV2U9UIljZvBF71wiMmTZXHnk6gk0XW9BUdpEzM+bzTXHutu4a47On4Oi3PwR+0uR/kSTrRk4Fk148/ZFz3ogtJGoqKiYabFYmHj1vM1me9n7yiDrZHl5+USLxbLLbrdbrVZrLYClNpvtIvsbu1JosViWfihI7aqpqXnlw3//udPp3GWxWOLZlUGbzfZ59u+VlZWfdjqdS4eHh59zX0v0bUMLGLZAadmo/PdXNr6KjX3vShWw+k91YvPzr6kMG/lGCBACYUTAwhJCROBj9vUgApBTk4SAdASuDfbgcNNJ7Gs5ipl5U7CidDEyU9gbQvSJNQQitRa4BaxYw4v6SwjwINA1cA176g+hY6AL2cmZWFa6kOZIHuDIJqIIiK4H3BuJ8vLycXFxcX8G8CWbzfZHt5dWq/UUgK+w3FhWq/VbTqcz0263P1VZWfljAO0siXtVVdVyh8PxI5vNNquiouITAP7WbrevLykpyUlMTDw4PDy8cNSoUfHDw8P7HQ7HgvT09O7e3l4mlL1UU1PzZqA2tJBW5RcWLT/Z3/2pynQCiwe56LdR6RcDHrTN5K+ZfHXPU5H61d1M6wHPOHPbmI2DItgEWltF61DV3kjudA114uDlozjfXovC9AKkJaWhpv0Cpo+bghXj3Vks/CPNru/sP33nKuCSj4hdBdQbPyPx0dvHSJXT84u7zL6qsh6oxDHyJTjDeeexU92nUNfdhLoPXxEszSjCjIwZ3MOHTmBxQxVRQ9XGi+jegFvAqqys/K7T6fx/AbAsdKyc02KxvD08PPxqfHw8O0U1FkC9xWL5VE1NTU9paWl6YmLifzocjkqLxTIYFxf31+fPnz/Nom21Wr8H4GMA4gD8s81mcx3pqaioeNhisXwbwCin0/lHu93+LPv38vLyKf7a0GIO5cCiHFhaHImFv6t0z5kHbzP5ayZf3WKA6D13Hs7w2JhpPeDBw1vAyslJUyK/hYjfvLZmG6O8uNwRpI3hztvNW/GO3ZU61fVZUjQPcZY4tPe14+9mfjHoa147jrfg1R13Eig/vsaKNXPkJ1D2xY64E5hNDJtIrQWsV6qsBypxjHwJPvvyzGPsiuKm+rewvfZ9T2X3lS3FhpKHuF88pBxYIqtg5GxVGy+i6wG3gBW5EOlvWZUFigcBf0RmJ7C2x8vNgdXDcmA9HfkcWGbacKk0SenlMk+5WLQxY2xFFylZcTXTeiCCmdk4KIKN0SKNaN8ibW8UdxIS4vD9oz9BbVejy+X4uHjMyp/qErAm51gxP3tuQCjYhu4Hr55Ex/VBtHUNYNjhRFVxJp59Yjb3hk4vzkbho7d/kSxHApYc9FXiGPkSmBNsHnvhlRM439jlMfI3j/nOlcy4LLMYz8z7KoaGXG+qBf24XyFs6L6Iiqxi2DvqMSmzEN9d/YwSP3IRx7QYEJm/61kPSMCKTKykt0oClnRIo6ZClSZcHlDN5K+ZfHWLASRg8YwC42zMxkFRZAmfwIgZiY37BFZlTilyRmfjSu9VlGeV4N7xC5GRkBWwk+w6zLuNh1DTXYP8hElotWdjxqQJQiew9CZeNhIfUV5H2l7PhkVmn1X5QUMljpnBF71zCeM+zwksZre5eQu22Hd7hsvaihV4sHAt9/D587W7ryCuKr+HBCxuBI0xVG28iO4NSMAyhmdhb4UErLBDHLEGVJqkeEA0k79m8pUELB72G29jNg6KIkz4yBew9Gziuoc6cejKMfTe7Mfu+gOeTn1y8oNYURA4B5bvdZgHJt2PlROWITUpQZMKLOfMgTN3cmctniaWO4u4E5w7ohsWzYAJGJCAJQCWQaYqjRdfX0KdS1gIeOtgc+W+y4dha6+DNacU9xQsCCry+4aXCWDsCmJOSiba+ztxX/kyfG72oyRgGTQOeJtRbbyIrgckYPEyJcrtSMCK8gCF0D2VJikeGMzkr5l8JQGLh/3G25iNg6IIEz7yBCxXcuCrx/Hnq9WYnjsVC3LnCD3vzoSvX53/LY5ePIVh5+3rMNbsEjw160m/1wHd12FsHfUeJ8oySrAo+ROYXpatKWLxnngIhBBxhwQs0flG1F4ljqnsy7ZjLXht5508fI+ttuL+ufry8PH+AJCcnIDBwSEhSrEriK+cfx3DcOByzxUUpOUhHnH4yqK/IgFLCMnwG6s2XkjA8uKMKr+w8AwDErB4UIpNG5UmKZ4ImMlfM/lKAhYP+423MRsHRREmfOQJWL6nobROT3m3zE4V7L98BLaOOuSNGYf2/g7UtNfh4cnrsLJgecBO+ra5KGc59mxNwaOrKoJeI+TNOROMT8QdErBE5xtRe5U4pqovFosFz//mOGxN3Z7wWosy8M1PzwlLHr5QT2D5PpixrmIl/mr2IyRgiQ7OMNurNl5IwCIBC07nbRAoiXuYZw+DqldpkuKBzEz+mslXErB42G+8jdk4KIow4SNHwPJ3GirY6SnfVn3zuqwoWYQhhwPsifj52fMCdpKd+jpy9ThOXK5GbkKxKwfWWXsfVyJ3OoElOlr47dm4Et2w8NeubanKD9wqzU+q+sIErFd22rHjSJOHmGvmF+GJ1RW6BCytE1ih5MBidb944iVc6Gzw9LU8axKeX/MNErC0pxVDLVQbL6LrAV0hNJRu4WuMTmCFD9tI16zSJMWDpZn8NZOvJGDxsN94G7NxUBRhwkeOgMVq0XsCy9/LWqWZRRi4NYi0pNSAVwi9e37w7BX8YvNZ1yuE7PP4GqtmInfenDOBECLuBOeO6IZFdOwGsycBSyaacupSabz4+sLmH1tzNy629WHCuFRYCzOwaEqeEHA885GMVwh/X7tpRJ7BFSWL8aX5nyEBSyha4TdWbbyIrgckYIWfY4a0QAKWITBHpBGVJikeAM3kr5l8JQGLh/3G25iNg6IIEz7yBKxQcmC91fgOtta+5+nMkqJ5ONR8HBuq1gVN4u4uwLP5C+Sp1okHErBERxVAJ7DEMfNXQqX5SWVf2PxzqLoVDa09KM5Pw6KpYg9CsNjznggN5QQWa2fv1X1ovn7ZkwOraGwBNkxdSwKWnCErrRbVxgsJWF7UUOUXFh62k4DFg1Js2qg0SfFEwEz+mslXErB42G+8jdk4KIow4SNPwHLXJCoIMfv3ztvQlVSDuq5GlGUVY+DmDcTHx2P9pPuQYhnNHVbRtrkr9mNI3AnOHdENSyix8C2ryv5AJY6ZwRe9849ITr5QcmCxdl67sBHDTicGbg0gJTEZ8ZY4PLngsyRgyZyAJNSl2ngRXQ/oBJYEEkVDFSRgRUMUwtMHlSYpHoTM5K+ZfCUBi4f9xtuYjYOiCBM+fAIWy/Pi+PB6nijGPPY7T7SgfVQ1Op1NqOtqwtikNCwtWoTlBffyFPfY6N1ACjXyoTFxhwQsPbwRKaMSx8zgSyjzD+8JLDd/2HXCoaHbr7WKfNhV7001W5CTkon2/k58omodHpm+3iVghXueF+mnHlszcEwPLpEuo+dELglYkY6apPZJwJIEZBRWo9KEywOvmfw1k68kYPGw33gbs3FQFGHCxz9i7uTobYMdGJ2QDHtnA2bkTsWC3DkYHZ8qCrOmPbuCc7r5ElqGzqN5oBYz8qZgYd5c7rZCuUKo2bkABsQdErD0coe3nEocU9kXGfOPjDp4eHXXCa7xC5CTnoGd9n04dbUa08M4z/P0LxQblTkWCi6RLksClk8EVDkizEMsErB4UIpNG5UmXJ4ImMlfM/lKAhYP+423MRsHRREmfPwj5v6VfuHE2djfdNRj9MnJD3LlpBKNg9uenWBgH9HTXqKnF/T2z7sccYcELBk8ClaHShxT2ReZ808op7h4+Oh7AuvhyevB2vzdmTcNm+d5+qnHRmWO6cEjWsqQgEUC1og7yhs3v4Ht8fuRkJQojaM9J9vx66d/Ia0+PRWpNAHx+E/+8qAUmzZmjK3oPXdZkTXTDxoimJmNgyLYuEXXnJw0JfJ/iPoeyJ5tZn508mVcG+xB6qjRrit97o81u4TrVUBZfeGpRyR/DE99vDY0tkjA4uWKXjuVOKaqL+za3QuvnMD5xi5PmKuKM/HsE7OFhXi9POEt557bbR31niILJ85C5+A12Nrronqe5/FRVY45bz+uG7MfErB8QmemDQudwIrZcavZcZUmXE1ncft1IrNsGM3kq1sMIAGLZxQYZ2M2DooiS/j4R8z1K/35d7CwcI6hJ7BE4+e2l3kCgrcPxB0SsHi5otdOJY6p7Esk5h+9nGJz+xvnNnuKPzr5IcTF0wksvXiGq5xq40V0b0A5sMLFLIPrJQHLYMANbE6lSYoHNjP5ayZfScDiYb/xNmbjoCjCZsBHz5UUo3NgicbN196o/DHe7ZqBO3rjoucXd71t+Sunyg/cKnFMZV8iMf/oHS9sbj/adgJN11tQmDYRC/JmI21sCuXA0gtomMqpNl5IwPIiiioLFA/3ScDiQSk2bVSapHgiYCZ/zeQrCVg87DfexmwcFEVYZXzYRuXw1eP4s87EvN7Y6H2dSkQ8E7ENFGcZdfBySGXu8GIQyI4ErFARvF1eJY6ZwRcZ84+MOoKxz5+AVZSXT68Qyhmy0mpRbbyQgEUCFtx3YSkHlrR5IqIVqTRJ8QBpJn/N5CsJWDzsN97GbBwURVhlfHyviogmYA8FGxHxLJZOL3jzKxR8RHkaa/YkYMmJmEocI1+Cc8KoefBIx1Fc6GrA5Z4rKEjLQ0XmJKyrWqlEHkjimJx5R3YtetYDukIoOwoRqo9OYEUIeAOaVWnC5YHLTP6ayVcSsHjYb7yN2TgoirCq+PhL1iuagD0UbETEM1n5Y8J9csGXW6HgI8rTWLPXs2GR6aMqNzRU4pgZfAllDpI1DwYbR6x/v6/dhN31BzxmK0oW40vzP0MClswJSEJdqo0XOoFFJ7DoBJaEiSGaqlBpkuLB1Uz+mslXErB42G+8jdk4KIqwyvi4RaT4uHjkpGRiadEiLC+4lxsivdiIiGfeLwgmxFuQk5GCrLHJeObxWdwveBl1coEELG7quK6+iW5Y+GvXtiQBSxsjoy30zidG95OnPV9fQp2D3PPghZZu1xzY1jWAisIM6S8ZsnZePPES6rubXWtCe38nSjKL8Pyab5CAxRN4A21UGy+i6wGdwDKQbOFsik5ghRPdyNat0iTFg6SZ/DWTryRg8bDfeBuzcVAUYZXxYdf4znSfRdP1i2i+dgkz8qZgYe48jI5P5YIpFGxET2B9YG9HbmYKLrb1YWppFh6YX4SkhDiufhpxcsFfR0LBh8uxGDYiAUtO8FTimMq+yJiDDp69Altzt2sOnDAuFdbCDCyakieHSF61HO44gtquRs8VwrLMYjxYtYoELOlIh1ahauOFBCwvPqjyCwsPxUnA4kEpNm1UmqR4ImAmf83kKwlYPOw33sZsHBRFWHV8RIQkX+xCwUY0B9b2Y814a289plSkIr+iA23DjZiZPxULcucEFdy8T3C5+19VnCn95AIJWGIjiwQsMbwCWYcyBuX0QF4tqvrCHrh44ZUTON/Y5QFLzxy07VgLXttp89Tx2Gor7p87UV4APqxp5+Xd2HRui6feDZPX4vHpHyUBSzrSoVWo2nghAYsELLpCGNqcEHWlVZqkeMA1k79m8pUELB72G29jNg6KIqwyPkzc+dX53+LoxVMYdjpc0IjkwZKBTUJCHIaGbrcd6ON9fWbp/QM42P6ex5Qn8byM0w+ivHHPdzk5aUps/PT4H6wMCVhyEJUxBuX0JPRaVPYl1DlIjxCvJ98WXSEMncdG1aDaeCEBiwQsErCMmj0MakelSYoHMjP5ayZfScDiYb/xNmbjoCjCquLDTkAdunoUp66cRd6YcWjv70BNex14BCE3hqFgI3ICi7XHNoC7T7Qga84J1Hc3eMLII7iFmn9GlDMy8NHbZqyUIwFLTqRCGYNyeiCvFpV9kTEH8YpgonOrdwSZgLXz4i609rV7rhDmp+bgMTqBJY/okmpSbbyQgEUCFglYkiaHaKlGpUmKB1Mz+WsmX0nA4mG/8TZm46Aowqri43t1cEXJIoxOHI3lBfdEXQ4sFjO2ATxY3Yru0Wex+9JOTxhFBDc9JxJE+eJtryp3QsHEW9wT3bDIaNddhyopRlTimBl8CWUO4hXBQrkWzsbH281b8Y59l2e4ratYib+a/YgSJ0nNwDGZ86RRden5QYOSuBsVnTC3429Qbtz8BrbH70dCUqK01ntOtuPXT/9CWn16KlJpAuLxn/zlQSk2bcwY20htWlTZsMhmutk4KIqfivj4ewWwNLMIeWNy8JeVj3O/7qcXG5FXCH3jNeDsx6HWY/jz1WpMz9XOgSUab5n2evGR2YdorUvPhkWmL6qsBypxjHzhY3gwESyUuZW1zq50/+DYT3Chs9HTmfKsYjy/5lkSsPjCY5iVauNFdG9AApZhVAtvQyRghRffSNau0iTFg6OZ/DWTryz2kdy0qLJh4RlDIjZm46AINm7OqpjHyPdX+iVF8zA+NR/LC+7lhigU7oR6SiCUkwzcDoZoGAo+ITYd9cUjuRYwcFRZD1TiGPkiZ9iGOrdubt6CLfbdns6sq1iBv5r9KAlYcsIjrRbVxgsJWF7UUGWB4mE7CVg8KMWmjUqTFE8EzOSvmXwlAYuH/cbbmI2Dogirio93DqzC9PEoGjsB0zKmcF8fDFXcY+0fbTuBpustKEybiPm5s4XaFo2j295I4UtV7ujF3rscCVgyULz9o5AqArsZfDFi/gklBxZjZfdQJ/ZfPoKa9lpU5pRhyfj5qMgvJgFLzpCVVotq44UELBKwKAeWtOkhOipSaZLiQdRM/prJVxKweNhvvI3ZOCiKsOr4sA0V+zgcTohurvRiw9rpvdWLw1ePC10FDKWvvPljRPkRzF4vPjL7EK11kYAlJzIqcUxlX2TOPzwvtzJ2jRoVj5s3h4WJ5vvjwoK82SjKyycBSxjJ8BZQbbyQgEUCFglY4Z0zDK9dpUmKBzwz+WsmX0nA4mG/8TZm46AowmbAR+8v9qLYuNupbjuH0qxJeNv2riccD09eh5UFy/2Gh23+9p1uxUnbVcyelo6hsY2wXavBDFiyyboAACAASURBVIEcWLwveInygwQsfYiRgKUPN99SomNQTqvhqUVlX2TMP529N7Dn1CWcb+hC1aRMLJsxHlljku4KBjtBte/yYdja62DNKcU9BQuQkZDFHbSdl3dj07ktHvsNk9ficXqFkBs/owxVGy8kYJGARQKWUbOHQe2oNEnxQGYmf83kKwlYPOw33sZsHBRF2Az46M2ZIoqNu52CtDykJib7JAqehKdnf9lvAnn35i8h3oL7PnoDuy/eeSErmPDljjU7ufXCKydwvrHLE/6q4kw8+8Rs7oT1orxxz3eqXO/S47+WuCe6YZHZB1VSjIiOQZkYyq5LVV8sFjnzz6b99Xhrb70H9ofuLcGGJSV3hcE3h9XaihV4sHAtV7jYXPniiZdwobPBY1+eNQnPr/kGncDiQtA4I9XGi+h6QEncjeNaWFvyR2R6hTCskBtWuUqTFA9oZvLXTL6SgMXDfuNtzMZBUYRVxyeUV6tEsPFup2BMLqrGlWF3/UFPOFaULMajZRvuEpS8xaeJ41KRMfs4artGbq4CCV/esZZxAoK4I4pAYHs6gSUHS5ExKKfF8NWisi+hzj/s2uBzvzoGe3O3JwAVhRn4p8/OxdCQw/NvzO77R3+C2q47rwiWZRbjmXlfHWEXKIqs/O/sf8Du+gMj5uYvzf8MCVjho76umlUbLyRgedFAlV9YeJhNAhYPSrFpo9IkxRMBM/lrJl9JwOJhv/E2ZuOgKMJmwMfoE1jxljisr1yNjv4uXO65AnYiqzxzEuZnz/MbHvfmb8K4VMxYefmuzZU/4cu3Ipk5aHg5ZAbu8GLha0cCll7kRpZTiWMq+yJj/jHqBNbOi7vQ2tfumZvzU3PwGF0hlDNgJdai2nghAYsELLpCKHGCiIaqVJqkePA0k79m8pUELB72G29jNg6KIhwL+CQnJyIxMQ5DQ04MDNwUdRF6c2DFx1uQlTWG+5d573YWTZyL/lv9aL5+SfMVQncOrFMX2jB/6SAu9bdwCV/+gBBNVC8MpleBWOBOKP6FUpYErFDQu1NWJY6ZwZdQ5h+jcmAd7jiC+u5mDNwaQEpiMkoyivBg1SrXPM+uQ7IHP2L1YwaOeceG8S0lZZTrtdIbN4Zw65Z4Un8jYq1nPaArhEZExoA26ASWASBHqAmVJlweCM3kr5l8JQGLh/3G25iNg6IIRzs+Y8YkgQlYbGPBPjdu3ML164OibrrseTdX3q9UlWYWY37ubCQ6k7nb9G6Ht013//qG+3DkynE0XW/RFL64OxQmw2jnTpjc5qpWz4aFq2JOI1VuaKjEMfKFj7y8rxAmJydgcHCIr1IvK3+vEKaNTcFO+z6culqN6QKPZwg3HuYCZuIY+06QkZGChIR4F6oOhwM9PYO6XqYMc1hcAhudwPJCWZUFioc4JGDxoBSbNipNuDwRMJO/ZvKVBCwe9htvYzYOiiIc7fhkZY1GfPztL6i3v6Q60d3dh+Hh8P1KfqTjKC50NSAOFiQnJqGhqxkz8qZhQe4cjI5PFYVYl72I8KWrAQmFop07ElzUXYWeDYvuxvwUVGV/oBLHyBc5DA/1FUJ3L9xzLIvL+1f24Xdn3vR08JOTH8SKgqVyOmxgLWbi2OjRo5CaOvKVSnYK6/r1AQMR52tKz3pAJ7D4sI16KxKwoj5Eujuo0oTLA4KZ/DWTryRg8bDfeBuzcVAU4WjHx1fAcjqd6Orqx/DwncS+oj4Hs2ebmt/XbsL7jYexcOJs7G86GvObGpn4eNcV7dwJl9889erZsPDUy2tDAhYvUsbZqTRewumLlngfyiuE/qLNror/8OR/wNZe5/mzNbsET816MuauE4YzLsaNlNstaflCApbREZHYnioLFA8kJGDxoBSbNlqTVGx6FbjXZvLXTL6SgBWdI9VsHBSNQrTjM2ZMMlJSEj1u3bx5C9eu6btCyION+5n1nhu9SB01GnVdTTG/qeHxW49NtHNHj0+yypCAJQdJlThGvgTnBE8i+FBfIfTuAZ3AkjNGw1WL1nhh8UtP975C6ERv76ArF1a0ffSsB3QCK9qiqLM/JGDpBC4GimlNUjHgglAXzeSvmXwlAUtoGBhmbDYOigIbC/iwJK1s48JyXPT33/Q85CLqK6/9O43vYmvdDiwsnEMnsIKAFgvc4Y25bDs9GxaZfVDlB26VOEa+BGe4+zVWt9Xja6xYM2fiXYVCPYHl+6jHwrw5oBxYMmcfOXXxjBd2eu52EneLS7i6eTP6xCu9ewMSsOTwKOK1kIAV8RCErQM8k1TYGo9AxWby10y+6l2kZFFQlQ2LLDzc9ZiNg6L4mQkfraspDDtm89s9Z5A8sQGDwwOuHFh1nU2ozCnFivFLDcuBJRrHSNibiTui+JKAJYqYf3uVOEa+BOYEm3dfeOUEzjd2eYyqijPx7BOz77rGF2oOrN2X38cb5zZ72nlk8oN4ZPp6eoVQzpCVVotq44WSuHtRw0wbFhKwpM0JUVeRSpMUD7hm8tdMvpKAxcN+423MxkFRhM2Az4CzH4daj6G67RzmT5iDaRmTgwpRB89ewaEbm9Bz8zq6Bq8hMzkdmSnp+PuZXwxrThQegU00vuG0NwN39OJHApZe5EaWU4ljZvAllDmM9wQWO0F1rP0kum90Iz0xA/NyZ3H/sMD696OTL6O2qwk5KZlo7+9EWVYxvrv6GZeA5dR4GyQU/+SMiOC1mIFjRuAouw096wGdwJIdhQjVRwJWhIA3oFmVJlweuMzkr5l8JQGLh/3G25iNg6IIq4wPy6lyqLoVPWPPoqm/Djmjs3G55woqc8qwMshpKlZu18U92NqwzQNnOF+l4sn9IhpXI+xV5k6o+OnZsITapnd5VX7gVoljKvsiYw7jrcP3BJXo3Hy44whquxpda0FBWh7KMovxYNWqoAIWb99kjmE9danMMT14REsZPesBCVjREr0Q+0ECVogARnFxlSZcHpjN5K+ZfCUBi4f9xtuYjYOiCKuMD/tFf+8HF5E95yTGjckekc+KXRtZHuSZdPYr/5G24zh19Sxm5E7B/HFzuH/lF40B78kD0XrDba8yd0LFTs+GJdQ2ScCSiaD8ulQaL76+sDns9V125GSkoK1rAI+uqvCbv4oH1WCnnNwnqGwd9Z6qRF8MfKdlG962vesp/6B1Ff5y1ieDClixMkerzDEe7kSrjZ71gASsaI2mYL9IwBIELIbMVZpweWA3k79m8pUELB72G29jNg6KIqwqPu6cKj39N3Hv2h6cvnJe+EXB/ptDON3Qhb0nL2JGeQ4WT8tHalKCKMRB7UVyv0htWEJlqnJHAjSuJ+BFc57IaNddB53AkommnLpUGi/evrAE2r/ZYcOtIQcutvVhwrhUJCbE4dNrrGG5ch3KCaxArxj+y33PBhSwYmmOVpVjWlc75YzQ8NWiZz0gASt88TC0ZhKwDIXb0MZUmnB5gDOTv2bylQQsHvYbb2M2DooirDI+7Ffz379rxycfTcSApQs7avd64OG5dmLUr+5GtSPKDS17lbmj5bvW3/VsWLTqFPk7CVgiaBljq9J48fVl0/56vLX3zqmoh+4twYYlJWEB1vcVwQW5YqdjfV8xXFexAn81+1E6gRWWaOmvVLXxIvqDBglY+rkTVSVJwIqqcEjtjEqTFA8wZvLXTL6SgMXDfuNtzMZBUYRVxsedt6S9txuF1j603byChq4WzMibgoW584JeCTTyV/dYya/iyy2VuSM6jvxhI7phCbVN7/IkYMlEU05dKo0X3xNYvC8IykHydi16E6rf9Yrh+AWoyC+mHFgygyOhLtXGi+h6QAKWBBJFQxUkYEVDFMLTB5UmKR6EzOSvmXwlAYuH/cbbmI2DogibAR/3RoddH3E4nNzXWthrhL/ecg6ZY5NDzuvCExe9GzKeusNhYwbu6MWNTmDpRW5kOZU4prIvMk+RGjUPJicnYHBwyHXdNycnjV4hlDNkpdUiEhdpjYapIj3rAQlYYQqG0dWSgGU04sa1p9IkxYOamfw1k68kYPGw33gbs3FQFGEz4CN6wsl9ReXU1WqUZRSj/9YgRsel454J85CZNFYUYl32Rm3idHXuw0Jm4I5efPRsWPS25a8cncCSiaaculQaL76+iM6x/hCVUQdPpNgJrAOtR3G1tx3jUrOxZPx8zRNYPPVGg43KHIsGfPX2Qc96QAKWXrSjrBwJWFEWEIndUWnC5YHFTP6ayVcSsHjYb7yN2TgoirAZ8BE9HeCbJHhJ0TwcajmBDZVrsSLIy4Wi2PuzDzW/i4w+8NZhBu7wYuFrp2fDorctErBkIhe+ulQaL4F8CUV4F52n9UZq79V9aL5+GZd7rqAgLQ9FYwuwYeparhNYets0qpwZOGYUljLb0bMekIAlMwIRrIsErAiCH+amVZpweaAyk79m8pUELB72G29jNg6KIqw6PqK5rPw9016aWYS+m/1IT07DU7Oe5L6CKBoLZh/KC1t62guljOrcCRUb0ZwnobTnW5ZOYMlEU05dKo0X2QKW6DytNyLsGvnv7H/A7voDnipWlCzGl+Z/hgQsvaCGqZxq40V0PSABK0zEMrpaErCMRty49lSapHhQM5O/ZvKVBCwe9htvYzYOiiKsMj7sSsrB6la0dQ9ix5EmDzSPr7FizZyJAaHyewKr+Tg+XrkWK8cvE4WY296feGbNLgm7aMbdQR9DlbmjFxN3OT2/uIfapnd5ErBkoimnLpXGi68vMq7/bTvWgtd22jxgP7baivvnBp6n9USFzbEvnngJFzobPMXLsybh+TXfIAFLD6BhLKPaeCEBy4ssqixQPPwnAYsHpdi0UWmS4omAmfw1k68kYPGw33gbs3FQFGGV8WFXUl7fZceCqQUYlRCHi+29mFOZi8XT8pGalBAQKk8OrCvVKE4vwuDwDQz3J6N89DQsLC8ShVjInk5gCcEVtcYkYMkJjUrzk8q+yLj+xx7NsDV342JbHyaMS4W1MAOLpuQFJJLe64o7L+/GpnNbPPVumLwWj0//KAlYcoastFpUGy8kYJGABafzNggbN7+B7fH7kZCUKG3A9Jxsx6+f/oW0+vRUpNKg5fGf/OVBKTZtzBhb0UVKVmTN9IOGCGZm46AINm7RlfcFJu+62VWM5ORE1wtOt24Nu15ziqYP29y8svs0hjOb0DrUgILEEowdLMPHFlRyXQFk5X+2+SyOnbvieYWwojADzz4xm6u8GwuG09CQgxuaAWc/DrUew5+vVmN67lQsyJ2D0fGp3OWNNKSxFRhtErDkMFEljqnqi8ViwQuvnMCFlm7kZKS4XmwVnSvdVwh56gg1T6Bv+YV5c1CUlx/zAhZ7VTExMR6jRiXg+vUB3LrFv+7IGa1ya1FtvIjuDYSvEJaXl4+Ni4vbNzQ09GBdXV1TeXn51Li4uJ8DSAdwpr+//7MtLS0DlZWVaU6n878BVADoHR4efqK2tvYCC5/Van0ewAb2/51O5z/Y7fbN7P9XVlY+4nQ6vw0g0WKx/KampuY59u+B2tCigpk2LHQCS4sNsft3lSYpniiYyV8z+eoWA0QXKR7O8NiYaT3gwcNtYzYOimCjV8Bim42xY5PANi4ffs/B4CATsW6JNh9W+7fq3sXWhm2eNh6YdD8eKl3F3WYopwo6e29gz6lLON/QhapJmVg2YzyyxiQFbNt7UzUzbxoW5c/DKCRz9zUShjS2SMAKN+9U4pjKvoienvLHG94rhKGeUmVz7dG2E2i63oLCtIlYkDc75gWspKQEpKQkjFiTe3puYHj4wxMf4R6oYahftfEiujcQErDKy8sXxsXF/R+mQQ0NDVmZgGW1Wk8C+KrNZttntVr/mYlPNpvtmxUVFT+Ki4vrZCJUZWXlCqfT+V2bzbbEarV+3GKxfKmmpuaBKVOm5A0NDe0fGhqa7XQ6kxMTEw8nJibOrq6uvma1Wrc6nc7v2+32HYHa0OKDmTYsJGBpsSF2/67SJMUTBTP5ayZfScDiYb/xNmbjoCjCevBJSUkE+7XX+8NOGbEvzNHyYSLbD0++DHtHvadLFdkl+JpAEvb+m0M4dO4qjp29glnWcZpXD71937S/Hm/tvdP2Q/eWYMOSkoDwhLopiwTuergTiX5Gok06gSUHdZU4prIvvOJTMFbwiGAy8gT6zrWPTH4Qj0xfH9MnsNLSksBO+3p/btwYQn9/dP2oJDIrqDZewipgVVRU/GdcXNwv2MmqoaGh5XFxcY64uLg9NputjIFeVlZWGB8fv9tms5VbrdYLw8PDK2pra5vZ39h/OxwOVuZ/AWBl2Oks9u8/t1gs77H/73A4Vtjt9r/58N8/A2CZw+H4X37aeM/dZrBgk4BFVwhFJoNotVVpkuLB2Ez+mslXErB42G+8jdk4KIqwHnyYeMVErGgWsFjfQhWF3Nh0dvYK/ZLNNhLP/eoY7M3dd8Szwgz802fn+r1OKGNTJhp3GfZ6uCOj3ViogwQsOVFSiWOq+uK+Qni+scsT9KriTKHr1iJXCEOZ1wPNtd9d/UxMC1hjxiQhMXGkgMWu9Q8MkIAlZyYKrRY964HQCSx396xWa/3Q0NCy+Pj4AovF8gObzbb0w7/FW63WPpvNlmy1WgdsNhtLTOC6ZGq1Wt93OBzfiIuL+xYrU1NTs4v9e2Vl5XNOp7PPYrE4HQ5Hqt1u/9aH9qvY9UIA3w7UhhZcJGCRgKXFkVj4u0qLOg/eZvLXTL6SgMXDfuNtzMZBUYT14pOengy2GWAflpeyv/8mbt4cFm0+rPah5krRiw1zik5ghTW0UV+5ng2LTKdU2R+EMgZl4imjLpV9CeW6tRtb3jpCnddVPIHFfjRJTR3lWZMdDieuXx/05IyWwV+j61BtvIT1BJavgBUXFzchLi7uX30ErB6bzTbaarXesNlsKV4C1l4AT1ssFpbX6l+9BSwAPU6nM97pdKZ4C1jM3uFwPBeoDS2ysAWqo6Mnpgmq5aP774zI2dlp8PaXJXHfFic3iXsvS+L+9cgncff1lRenWLTzF9tY9IO3z2by10y+ugWsnJyxun444eVPIDszrQciWJmNgyLYuDmrZ71huCYlJSIuDrhxYxjDw9GbMFbva1V6ucPaa78+iPc+uJMDa/lMjhxYV47j1NVqzGDJ2/OiN3l7sO9lovxT1f725isya8FtUVmN/YHeMRiNvFLZl74bQ9h/uhUnbW2u69ZLPhL8pVd/8WF1HDzTiobWHhTnp2le2dY7r7sEMO+5Nn8OinLzR+wvo5E/Wn1ieNw+HZ2Erq5eOKJ3SdZyxfV31caL6HqgayPhPoHFTk25rwwyMMvLyydaLJZddrvdarVaawEstdlsF9nf2BVCi8Wy9ENBaldNTc0rH/77z51O5y6LxRLPrgzabLbPs3+vrKz8tNPpXDo8PPxcoDa0IswWKC0blf/+ysZXsbHvXamvEPaf6sTm519TGTbyjRAgBMKIgMWd2TqMbfir2uzrgcFwU3OEwF0IdF0fxPYjjTh+9grmTc3DffMnIT0tcOJ2glBtBCK1FrgFLLXRJe9UQ4DNnzuPNqK25RpKJ6Zjzbxi1wuw9CEEVEBAdD0IScD6MIn7KQBfsdlse61W67ecTmem3W5/qrKy8scA2lkS96qqquUOh+NHNpttVkVFxScA/K3dbl9fUlKSk5iYeHB4eHjhqFGj4oeHh/c7HI4F6enp3b29vexlwpdqamretFqtftvQCpgqv7Bo+RlIiaUTWDzIRb+NSio7D9pm8tdMvrrnKdFfWXg4w2NjpvWABw+3jdk4KIJNoLVVtI5otL/rV3YdJ5pEubP9WAte3WHD5ElZyM1MweWOPsypzNV1GiEaMfXtkyg+seCTrD7SCSw5SKrEMfIlOCcOVF+BrbkbF9v6MGFcKqyFGVg8NU8OkbxqUfUElmrruWrjRXRvoFfAqmNJ3JmAVV5ePiU+Pp6dohoLoN5isXyqpqamp7S0ND0xMfE/HQ5HpcViGYyLi/vr8+fPn2YEslqt3wPwMQAso9o/22w215GeioqKhy0Wy7cBjHI6nX+02+3Psn8P1IbWqFXljruWn3c2hmkjkuwxAWt7vNwrhD3sCuHTkb9CmJMz0lcejGLVRqV7zjwxMJO/ZvLVPU+J3nPn4QyPjZnWAx48vAUsM82nItgEWltF64hG+1AS/erhjncS4iXTx2PPSdfhfNfn8TVWrJkzMRphCqlPZpvfRcCiHFgiaAW2VYlj5EvgOLP585Wdduw40uQxWjO/CE+srgDL5yTzo2IOLD1rlkxMw1GXauNFdG+gS8AKRyDCUaeZNiz+iEwCVjhYZXydKk1SPOiZyV8z+eoWA0QXKR7O8NiYaT3gwUPFL3QifvPaqjhGZb3qJ4oNS0K8+0QLxqSMwoWWOy8Qir7IxRu7SNuJ4hPp/hrZPglYctBWiWPkS3AB6/nfHIet6c68aS3KwDc/PUeqgKXqK4Qqft9RbbyI7g1IwJKzhkS8FhKwIh6CsHVApUmKByQz+WsmX0nA4mG/8TZm46AowqriY/QJLIa7KwlxdSvaugdHnCSgE1iirIx9exKw5MRQpfmJfAnOiW3HWvDaTpvH6LHVVtw/V/7JVTqBJWdshrsW1cYLCVhejDHTL+4kYIV7qohc/SpNUjwomslfM/lKAhYP+423MRsHRRFWFZ9Qn1p3j2c9108Hbg5hn9eLXIunib/IJRrHSNiryh0ZWJKAJQPF2y+R6RmDclqXWwv5EhxP9gPAgTN3XjIM17zpuzYszJuDorz8ESlq5EbeuNqIY8ZhLdKSnvWATmCJIBzFtiRgRXFwQuyaShMuDxRm8tdMvpKAxcN+423MxkFRhPXio/cJc3f/Qi3P62co7ejFxmgfebGQbRcqPrL7E0316dmwyOy/Kj9wq8Qx8oWP4cHm7ISEOAwNOfgq0rByt0NxkQKn9EpUiwudwPKiiCoLFA/rScDiQSk2bVSapHgiYCZ/zeQrCVg87DfexmwcFEVYFJ9QTzaFWl7Uv1DsRbEJpa1YLEv4BI4aCVhyGK0Sx8gX/ZzoHurEvsuHYWuvgzWnFPcULEBGQpb+Cr1KUlykwCi9EtXiQgIWCVhwfvggBSVxlz5fRKRClSYpHgDN5K+ZfCUBi4f9xtuYjYOiCIvi484fEh8Xj5yUTCwtWoTlBfdyNysjNxV3YyEaimITYnMxV5zwIQEr3KRViWPki362bG7egu2177vWnPb+TtxXvgwPFq7VXyEJWFKwC2clqo0XErBIwCIBK5wzRgTqVmmS4oHPTP6ayVcSsHjYb7yN2TgoirAIPu4XnCwWC3JGZ+NyzxUUZ0zE+kn3IcUyWrNpWa8DajYkyUAEG0lNxlQ1hA8JWOEmrEocI1/0sYVdG3zl/OsYhsO15hSk5SEecXii6hEp1wkpLvriEu5SqsWFBCwSsEjACvesYXD9Kk1SPNCZyV8z+UoCFg/7jbcxGwdFERbFZ0/rXlzsbcX+pqOepj45+UGsKFjK1TSdwOKCKSaMRLkTE05J6iRdIZQDpEocI1/0c+Ktprex9cIeTwUPlC/DQ0Xr9VfoVZLiIgVG6ZWoFhcSsEjAIgFL+jQR2QpVmqR4kDSTv2bylQQsHvYbb2M2DooiLIrPTQzipQ9+gQudDZ6mrNkleGrWk3A4PrzfH6QTlANLNELRay/Knej1RH7PSMCSg6lKHCNf9HGCndz94cmXYe+o91RQkV2Cr3GuOVqtUly0EIrM31WLCwlYJGCRgBWZuSRsrao0SfGAZCZ/zeQrCVg87DfexmwcFEVYDz4yTlGF8jqgqI/MXk97erDR07dYLUP4BI4cCVhyWK0Sx8gXPk74m6tlrDmBWqe48MXFaCvV4kICFglYJGAZPYuEuT2VJikeqMzkr5l8JQGLh/3G25iNg6II68GHnaI6dPUoTl05i8L08SgaOwHTMqZgdHyqaPNht++7MYRD1a1oaO1BcX4aFk3NR2pSAle7erDhqlgRI8KHBKxwU1kljpEvwdnC5uoDZ1px0taGWdZxWDztzlzt7xXCrFHZXKd+tThKcdFCKDJ/Vy0uJGCRgEUCVmTmkrC1qtIkxQOSmfw1k68kYPGw33gbs3FQFGG9+LBcWHsaD7pehBp2OiCSB0u0j6HYH7rQhAv9Z9A61ID8hEkoHz0NC8uLuKrUiw1X5QoYET4kYIWbxipxjHwJzpYdx1vw6g6bx+jxNVasmTPR9d/sBNammi2uVwizRmdgUkYhajsbMD13KhbkzgnpxxOKS7hHsb76VYsLCVgkYJGApW8uiNpSKk1SPCCbyV8z+UoCFg/7jbcxGwdFEdaDT6y8Jsj6+fuz27D70k4PLCvGr8ajU+7n+uVeDzai+MeyPeFDAla4+asSx8iXwGxhc/ULr5zA+cYuj1FVcSaefWK2679/dPJl2DrqER8Xj4UTZ+t+RMRfDygu4R7F+upXLS4kYJGARQKWvrkgakupNEnxgGwmf83kKwlYPOw33sYsHNST48nN2ZycNLS393jWVp4ohTMnCU/7PDYMkxePv4wLXXeS/5ZnluDpOXwJ583CHR4sVd/46cUgUDnGHdENi8w+OJ1Op+iYltm+rLpUGoPkS3BW8JzAqsouxY3hW7ofEVF9HiOOyZp55NajZz2wyO1CdNWmygLFg6q/Qblx8xvYHr8fCUmJPFVw2fScbMevn/4Fl224jFSagHgwIn95UIpNGzPGNlKbFjOtByKjQXUOhvqqn158Qm1XJIah2O66tAcbz7/tqeLhyeuxsmAZV5V6seGqXAEjwidwEPVsWGRSQpX1QCWOkS/BGR4sX6F3DqyK7Emo725GTXudq8JQr69TXGTOPPLqUi0uonsDErDkcSmiNZGAFVH4w9q4SpMUD1Bm8tdMvrLYR3LTosqGhWcMidiozsFQT0J542OxWLiu1nnjn5AQh6Ehh0hIDLV1C22nrlajLM2K3uY85IzJGJEgOFCHVOdOqIEgfEjACpVDU72OGAAAIABJREFUWuVV4hj5oi1gBUri7rvOra1YgYauJkwdN5lyYHnBShzTmlEi83c9ewMSsCITK+mtkoAlHdKoqVDGhDs0NIRf/vLn0n363Oc+j4QEvhereBuX4S9vW5G2M5OvJGBFmm3+21eZgzJyUTF8EscAO2x78cHVM9xJcWPlBJabFQfPXsEvNp/FsMPp+ifvBMEkYOkbuyqPLX2I3CmlZ8MSapve5VX5QUMljpnVF97r7YGuELLyPzz5Muwdd66CV2SX4OtzvizlxxOzxkXmfBOOulSLC53A8mKJKgsUD/FJwOJBKTZtZExS58+fwxde/CJSMkZLA2Ggux8/e/qnqKqaLK1Ot8ihJ+eM1E4YVJmM2BrUVSnNRHLTYqb1QCRYqnMwlBNYTIQ6cvU4PrhyBrljxqG9v8N1LYPnSkYo7bL48W5qRGIdyDZYgmDHh4KWv7KqcydUbAmfwAhGci1gvVJlPVCJY2bzReRHDq05+q2mt7H1wh7PgHugfBkeKlof6hTmKm+2uEgBzYBKVIsLCVgkYFESdwMmDiObkDFJMQHru4dfRHphlrSuX2vuxD8ueHqEgCXjpBfzd8yYZPT2Dnq4HI6TXtKACKEiGbENoXnDi0Zy06LKhkV20FTnoMgmwRdbXxFqSdE8HGo5gbLMIjw1K3Ci81BOfoXS31C4ESxBcKB6VedOKHiqtvELFQvf8pFcC0jAkh1NOfWpNJ94+xLo6rnojxyB5mh2TX1L0w703epHXWcTSrOKkJo4GmuL1tAJLB9qqsox5+2D0zH70bMe0BXCmA33yI7TCSxFAunHDRkTrlECViyd9IoGxsiIbTT4wdsHPYsUb91adiRg+UfILBx056LiPdnkT4QqzSxC381+3Fu0ECsKlgakHEu2u+fy+3i7bqvHhufUFjMW3dRo8Z7376zPgfKrkIDFi6L29zJ9NalXKpJrAQlY0ckno9Yi3jUgFJSYL/GjErHtYD0aWntQnJ+GRVPzkZp0O+WGnh85gs3R7ATWjrp9yEnJRHt/J9aU3UsnsMK0nwqFFzLLGjVeZPY52HcJOoHlhY6ZNiwkYBkxxCLThoxJykgBy4iTXpGJhPxWZcRWfq/CV2MkNy1mWg9EIqg6B91f+tt7uzGm8Apqe2yYkTs1aGJbVuZgdSu6R5/F7ks7PXCuKFmMnORszM+djdHxqX5hZieo3m08hF7HNSTHJ6G+qxEVGZVYVbwwYBl3RXo2NSKx5rEV2dypzh0evILZED6B0YnkWkACVqjMDk/5cI8XPSK9Xk+ZLwfPt6GmoRMX2/owYVwqrIUZWDQlz1Ol3h8rfOfoQDmwvhbklLCIX+GOi0hfQrUlX0JFMDzl9awHdAIrPLEwvFYSsAyH3LAGZUy4JGAZFi6hhmTEVqjBCBvrWaRkdZkELP9Iqs5Bdu1i054LWPrAIPa27vKAEOxElPuqxpSKVORXdKBtuBGz8qdiQf5cpFiC5xF87/L7eP3cZsTHxWN8ah4W59+Dk0dG4alHZnC9YLjr8nvYeO4dTz8fnrwOKwuWyxoGUutRnTuhgkX4kIAVKoe0yqvEsXD7EuyatIhwrxUT9vf4eAt+s8OOHUeaPOZr5hfhidUVnnWge6gT+y8fQU17LSpzyrCkYD4yEvSl+aAcWDxRoXxefCgZb6Vnb0AClvFxCkuLJGCFBdaoqFTGok4CVlSE8q5OyIhtdHoWWCwRPSYsyz8SsMwnYLFNySu7T2PM+A7U9Z3FtRs9rusVw04HrNklfvNY+SbLTYi3YMHUfPztQ1NcOfmCJTV3n6BiOU8qc8rRc6MHzdcuoyqrEssmaJ/AYhE60nEUF7oacLnnCgrS8lCeOQnzs+fJGgZS6zHb/CUKHuFDApYoZ0TtVeJYOH0JlAT9q39RiUOtx/Dnq9XcL8zyxIgJWN/77+OwNXV7zK1FGfjmp+d41hA219d1N2Hg1gBSEpNRmlGsa65n1+NfOf86nBZ46rI4LXii6hHKgeUTrHByjIcXMm1U80V0b0AClkw2RbAuErAiCH6Ym5YxSZGAFeYg6axeRmx1Nh2RYnp+ZZHVURKwzCdgMY/fqnsXDb0XUJg+HrWdjS5RiL0m+JFxUwLmsfL9pf7/edSKgZQ6nOLY5Oxp3YvLfVfhcDqwv+moB3SeHFhuAay2q8mTy6QsqzhownhZ40NPPWabv0QxInxIwBLljKi9ShwLty++8/oT91kRV1CHN85tFpqneWLEfNlx4iJ+u63GY/7YaivunzvR9d9srv997Sbsrj/g+Tu7ov5o2Qauk7q+fTjWeQwXe1pR19UElqtxQlo+5mbN5emqpk2446LZAYkG5ItEMCVWpWdvQAKWxABEsioSsCKJfnjbljHhkoAV3hjprV1GbPW2HYlyehYpWf0kAct8AhbbJPz4g58ie3TWCDFpXcUKrBi/NGBOKneulD9faMeS6QUYzLTh9bNvcW1ybmIQr9b8AR39XajtavSUqcguAU9OEr15UbyjK/s6TKAxaLb5S3QuInxIwBLljKi9ShwLty++ObCWzhiPn1b/b9g66j2wBzqZqycuLIn7lgP1OGlrwyzrOCyeNjKJ+4snXsKFzgZP1eVZk/D07C8LC1hsvn+rcQvesd+5Ir+uYiUeKl4rXJc/P8MdF1FsQ7EnX0JBL3xl9ewNSMAKXzwMrZkELEPhNrQxGRMuCViGhoy7MRmx5W4sCgz1LFKyuk0CljoClohAc6TjGA40H8H1G72a1we9EWLJ2I+2ncC1m9dcT5PbvTYaWpuc91v3ofNGF3bU7vVUubZiBR4sXKtJZ9bu4avHdV1pMTJJMXPEbPOXZvB8DAgfErBEOSNqrxLHjPLFe/3YdWkPNp5/2wP7w1XrsXL8MtEw3GXv7Qu7Uu7v6jnLd/iWbScqsoph76jHQ5X36cp3yK4Q/uDYv98lhv3D3K+EdIXQjZNRcQkZdI4KyBcOkCJgomdvQAJWBAIVjiZJwAoHqtFRp4wJlwSs6Iilby9kxDY6PQsslojec5flHwlYsS9g6RF3WKLcvZcOwdZR57k+WJ5VguUF9wR9FdCdi+pKbxtKMgtHiFFa1wH7nNfxdt1ODDmHPbmsEuPi8Vj5w9y/iIuIdO7IBktSLGsceddjtvlLFEPChwQsUc6I2qvEsUj4cuhCEy70n0HrUAPyEyahfPQ0LCwvEg2DLgHr0s0WHGs9hQsdDSjPnoS5+TMwftTtK4YiH7ZWbKp/C9tr3/cUu69sKTaUPMS93ni357vOLsybg6K8fLS397jyQMbyJxIcCxdeqvkiujcgAStczDK4XhKwDAbcwOZkTFIkYBkYMIGmZMRWoLmIm+r5lUVWp0nAin0BS/SFvoGBPryzfzPq2hpgmZiM+lsXsaZsKVJHpWCUZRSW5d/rFxTf/CSVOaUoTp+I+q4mV6LfhXlzg4pf713ei0t9rTjUcsKTy2pD1bqAObd8O6FHvAqUpPjZJ2br2sTwjDuzzV88mHjbED4kYIlyRtReJY4Z7Yt7zrzQ0o2cjBS0dQ2gojADMuZM5kuwK4Qszm82vY1tF/Z4Qn5/+TJ8tGi9KAVc+bTY1XOWA8v9+AfLgbWiYKmuud/3Gvsjkx/EI9PXGyhgOXHu3BnU19eiqmoKSkutwpgEKmA0x6R13E9FqvlCApZXkM20YSEBK5zTRGTrljFJkYAV2RiaYTHlQZgELB6UjLWRMb8Y0WP2JV0kZ8itWzfxj//4DH75y1+4ujdz7kzc9+zDiB+bgMrscnQMdOKzVZ/y+wWftfXDEy+NuDZYmV2K4oyJKHEswvSS7IAu3xhy4OXT/9v1jHrO6GzXhoKVWz/pPqRYRgeFSs8JM+8K6QSWEUzkbyNWxha/R/IsI7kWMC9U2R+oxLFI+BKuOZP5EiyJe3JyAp4/+OMReRLLMovxzUV/j8HBIaGBNmpUPL5/5N9dLxrmpGS6rsqXZhbjmflfwc2bw0J1uR8S8c0L9t3VzxgmYO3atRWf+tRfwOFwIDk5GRs3bsK8eUuE/DDDd+5IjBcpQQggxpGARQKW54jnxs1vYHv8fiQkJUrjXM/Jdvz66dsbgkh9VBq0PBjK8JcELB6kjbeREVvje62/xUhuWlTZsOhH33/JWOGg6KtN1dWnsGLFyBNWT7/4P1C4qNx1AitjVAaW5d8TEM7NzVuwxb7b83d2JSPekgjb4Xx8/bGZAX/Z3nmiBa0Jf8bB9vcQHxfv2lAsLVqE5QX+T3t5d4D98r2pZotnE/KJqnVYXrCUO+SUA4sbKkMMY2VsGQKGTyORXAtIwIpExLXbjMR4CdecyX7A+N5/H0fdxWue011lE9PxzU/P8awd7ATWzrp9nvl+ddm9uk9g/bFh812nuT4+6cEYPIHlxMc/vhYHDtx5nfFzn/trfP/7/7+U64uR4Jg28/VZqOYLCVgkYJGApW8uiNpSMiYpErCiM7wyYhudngUWS0QXKVn+kYAV2wIW6707L5X7mkR55iTMz57n17GamjNYunQJO2nh+fu//uxF9JQMu37ZfXLmX2MUkv2WZWLZaxc24pbjTg6rBEs8KjKs6GzMwKrZ/vOUuK+kxI26ifyKDldelUmjy7G+8h7N01f+2oxHPIpuLsH0smykJiVwDwU9VxC5K/cyNNv8JYoR4RMYMRKwRNkU+/O3lseRHC+y50wmYL1zuBmtHX242NaHCeNSkZ+dirXzC12iEmvvQNshXO1rw4WORpRnFyM3dRwWj1soLDqxJO6vnH8dw3B4rhDGIw5PVD2iK4l7ZHNgOfGpT30SO3fu8NDlS196Ev/8zy9o0Yfr75HkGFcHBYxU80V0b0A5sATIEs2mkbxCODQ0hF/+8ufS4fnc5z6PhIS7v7SrNGh5sGP+jhmTjN7eQe5fIHyxIwFLOj2lVKgSl3kAieSmhQSs2N8AuV8GbLregsK0iZifOztgLiqHYxg//vH38S//8i8ux1evW4OZf7MEjbdaoZWEndm/d/l9/MHrNNSiwjm42tuJL077ApIS4gLS3X0lJYFdIcxIwco5E7E6gODlW4nvqa/VJcuw/Q+p+MTycqyZI57cl2dMhmJjtvlLFCvChwQsUc6I2qvEMdV8+eOBBvxpT50npB9bWoqPLZ7k+m/ZidffadmKrRf2eE5zPVCxHOsmPiBKpxH2kXqF8NChvXj88UfR19eHcePG4bXX3sC0abNC8sVdWDWO5eSkGXa1U0oAAlSiZ29AAlY4I2Jg3ZEUsJg48oUXv4iUjOD5PUTgGOjux8+e/imqqibfVUylCcgo7EjAEmGfcbYqcZkHNT2LFE+9PDYkYMW+gOX+4s/+19+z5L4eDg8PYefxbWi9dgWZJbmw9zSgMqcMK8cvDZqEndVz+/XCg7B3NKA0qwhDjiFkJ2drJmLXeyXFlXfr5Muu59Tdn7KMSWg/PhsZY5KkJBbmGSciNmabv0SwYbaEDwlYopwRtVeJYyr5wk5g/ctvTuB8Y5cnpFXFmZ55/HaexZdh77wz31dkleBrs5/kWtt8eXK444grn5b7dDLLp7Uge74onfzaRyIuFy82orGxERUVFRg3rkCKH6rNyZGIi7RA+FSkZ29AAla4omFwvZEWsL57+EWkF2ZJ8/pacyf+ccHTphCwjMCOBCxp1JRakUoLEA8wehYpnnp5bEjAim0By/taw4zcqVg0fi6SnMF/NPFOSOvOR5WZko6/n/lFzU2Cbz4q9kLUCg7hy42ynispvq8/LcpZjj1bU/Doqgo6gcUzyKPMxmzzuwj8kVwLWD9VWQ9U4phqvrz7wSX8Zst5z7B4fI11xDzOTk29bdvl+ft660pdp6bc61xt150k7mVZxXhqlj4xzHccqxYXlU4tqeQLXSH0GnmqLFA8XwpIwOJBKfpsVBOWjPIn+iKpr0cqfTHgQSCSmxYzrQc8sXDbxAoHd7W+h32NR1wvLA07HWBXJOIt8VicPw8ZCf5/PLl9iuoQtl54zwPJw5PXYWXB8qAQBXqJSdaGIFDjbpHu1NVqlKVZ0duch5wxGVg8LV8oB5ZI/EOxjRXuhOJjKGUJn8DoRXItIAErFFaHr6xK44X5MjDkxJZDDTjf0IWqSZlYNmM8ssYkuQBka8ye1vdxsecqBm4NICUxGRPS8rAsf6nmjyv+IrDz0i5sOr/V86cNVQ9g9fiVUoKlWlxUEn1U8oUELBKwDE/ibrRoodJkahR2qrUjZVWOgkpU4jIPnJHctKguYOk58cNiFgkOsqSzQ0MOHsq4bAac/Xi7YTsau1tQkJaH9v4ODDscGBy6gY/kVeHBwrV+63q7eStquxqQMzrbdbWC/Sqdk5SLWZlzNAUh39NQj0x+UOhFQG7n/Bi6Y6k3pqG0LVI2EtwR6V+kbQkfErDCzUGVOKaaLztOXMTvd9o8rxB+cmUF7p97O5chm9t/Z9+IIefIh0L+ouJhj4AlMv+/f2UvWnpaPVcIJ6blY2me9su3PPxULS4qiT4q+UICFglYJGDxzMhRYqOasGSUPyz5/YULdulRLC+v8PtwgPSGPqxQpS8GPBiRgMWDkpiN74tBC3LnaOZ38m7BSA523biOfRePwt5tc73od8+EechMGqvp8Hut7+P1s5s9dkuK5iE5IQlXe9vQf2sQz8z76l2CGBPJvn/0J668IOz6YN7oHExML0B6UjryB+Zi4eS8oO164zq74COYmzMLKXGpmn01k4GR3IlFXAkfErDCzVuVOKaSLywH1vf++zhsTd0eCliLMvDNT89xCVTJyQl4reaP2F77vufv95UtxWOVH0fHtUEcONOKk7Y2zLKO0zyBO2pUPF44/G9ovn4ZFVnFrjyKhekT8OyCv8PNm8MhU1CluJAvIdMhLBXo2RtQDqywhML4SukKofGYy2jRKMFHxXb+4//7E7IyxssIg6uOzu5L+NLXP+Y375q0RnwqUmkx5cFIzyLFUy+PjaonsHxPCvG8sBcpAeutunextWGbp/kHJt2Ph0pXBQ2fv+t85VnFuKd4Pn57ahNWld0b9ATWO/ZdqMwpdZ3CutLbhsL08chNzsO8/BlIsWg/PMI2IllZYwx/6Ufk13ce/ofDxmzzlyiGhA8JWKKcEbVXiWMq+cLWjd/ssGPHkSZPSNfML8ITqytcAtbtJO4vwd7Z4Pl7RdYkfG32l7HtaDNe3WHz/Ltv7ix/HKETWHwjRyWOqeYLncDy4rCqGxZ/w5QELL7JK9qsVBSWjEpK/9rPjyI3p0haSK+2N+Gxz88jAUsaondXRAKWXHBl5Goy6kuQ60TUkZdQ2+39yl4Jnpn/Zc3rhLsu7cHG8297wGMJ1UcnpGBw+AbuKVgQNAfWoSvH0HezH7vqD3jKsxNcE8bkY1m+9hULb3wsFouu/CQiUdf7iqFIG7JsjeKOrP4aXQ/hQwJWuDmnEsdU8+XguauoaezCxbY+TBiXivKJGVgy9fbJX7Yebqx9864TWI9UfAzf/dWxgK8XBuLTtovb8WbNTs+fP1q5GvdPuE8K/VSLi0rX7lTyhQQsErDoCqGUKduYSkjA0sbZ34uU1dWn8X9+9Lb0E1h/+9R6TJ36Ee1OSbJQ6YsBDyQkYPGgJGYT6RNYIieF9JzAYmgcutCEC/1ncGWoARXpVpSmTMHMoomawhcrOxR/Az85/p+44PVLd2lmEXJTs/HZqk9pClKMs/GpDuy07wNLrj49dypEr2mKRHTH8RbhX99F6pdpa7b5SxQ7wocELFHOiNqrxDHVfDl4vg21Ld1IjI/DrVvDKJ2QjkVT7ghY25vfRWtfuydvVX5qDu4rXIXX99Tirb13fuh56N4SbFhSEpAaTAz7wbF/H7HGlWdNwj/M/QrXGqnFOdXiopLoo5IvJGCRgEUCltZsHEV/JwFLOxj+BKwzZ07jSz/+ClIytK8Aabdw22Kgux//8ff/jmnTSMDixUzUjgQsUcS07SOVA0tPuywH1oFLx9A2eAW5KflYOnE+xo4aE1REYgLZC6+cQPHEJGQXd+N0x2mUpJVhedF8ZIwKnj+L9XH3pb24dqMH+5uOesBkJ7DGp+ZjeYH2CSx2FeRo+3H81we/d71+yD6i1zS1o3jbwu3r+cYuT5Gq4kw8+8RsTaGNtw2ZdiptbGTi4q6L8CEBKxy88q5TJY6p5IvrCuF2G24OOTwnsBIT4vDpNVbPXL6//QAuXb+CxLgE3HLcxPixBbg3dwl+s8OGW0HK+ePUW03vjHht94Hy5XioaJ0U+qkUF/JFCiWkV6Jnb0A5sKSHITIV0hXCyOAeaqskYGkj6E/AMgo37d6FZqHSYsqDhJ5FiqdeHhvVr5SLnISSsQFi1/r+aNuKnJRMtPd34uOVa7Fy/LKgoXCLXu0D7UgdlYqa9lpXTqqisRMwLWNKwOTzu0+2oHvMOexs3uGpnyd/1pGOY9jbdAiJ8QmelwiLMyaC/TptHVMRNNk9u8pn77iI5lvnYO+sRX5aruv1w5r2OlizS/DUrCfDIirRCSye0RwbNmab30WiEsm1gPVTlfVAJY6p5ssf9tWPPEl1Twk23HPnJFVN3znYOupg72hAefYkVGaXojJ1Mtga8Pouu+f1wkdXVWDNnNuvF/r7sBNYv615464XDT9V+Uk6geUDmGocoxNYIqtODNmqskDxQE4CFg9K0WdjlBBD7WjH3p9Qpl0qNAuVFlMeJCK5aTHTesATC2bjzrf0ga0NMzleO3LX63oC3LYRQ/B6Ahzx+AvrnSfA/fWBXXfcVLMFCyfOvutEVLCcVENO4N9O/odQ/izWxx9/8FNkj85ytcVeImRi27LiRVy5r1yiWcYp7Kzf43GFndw61HICGyrXYkXBUl6YhewoB5YQXFFtbLb5XSQYkVwLSMASiZRxtiqNF61XCJno9Ie6t7Dtwp31heV2/ETpQ7jWd1PoFUK21m2qfwvv1u/3/KC0qvQebCh5KOQfWfR+RzCONWItqcQx1XyhK4ReXDbThoUELLFJLFqsSVjSjgSdwNLGKFYsIrlpMcN6IHoKS+9pH9bOn+q34GTrn12nr9jVuvtKl2ND6fqAX5jdCeevDfYgddRo1HXdeZ2JJyfV5vp3saVe7AVDJpidbjvrOX1VmVOGleOXBj15xcYS6yvLQ9I4Zgtquxo9w6sssxj3Fi3A1IzJmnWEOiZFYxlqe3rKq/QFWo//WmUIn8AIRXItIAFLi7mR+btK4yUxMQ6/2mbDTq9XCFfPL8Jf3md1nYoaNSoeLxz+t7vWl2cX/B1u3hx2BYB3DQjnCSzR02CRYQ5/qypxTDVfSMAiAYtyYPHPZRG3JAFLOwQkYGljFCsWkdy0xJqAxfvllcVeTz4qf/mWrEUZeOrRmUhKiAtKqQFnP95u2I7G7hYUpOW5rtY5HA48OfOvMQrJAcu6TmCdfweLCudgn0BOKubf6e5qNF+/hObuS6jMqsSi/HnITNLOgXX46nFUt53D/AlzME1AeHr3ZAuu+5zAWm9dhXUT74+V4Rb2fqr0BTocYBE+JGCFg1fedarEMZV86b85hEPVV9B8tdeTA6swfwxWzpjgEafeatyCd+y7POFcV7ESDxWv1XVq6p2Wba4cWO4r/Q9UrAh5rWLfEV7ZfRrDmU1oHWpAfsIkxHcV4YkVH9HVx3CPBZ76VeKYar6QgEUCFglYPLNYlNiQgKUdCBKwtDGKFQsSsLQjxcSao20n0HS9BYVpEzE/d7bmaR+9LxF6n8BKiLdg3eISpI1OwKpZgfNtMA9822NX6+IsccgfnRs0MTrz7Uz3WfTe7EXn4DU0X7sEdvqqYExe8BxYl9/HG+c2e64BLi1axJWA3Y22WwwUEQXdObAab1ajtqse1pxS3FOwABkJWdpBNImFSl+gwxEywocErHDwigSscKMaev1sbW2/NoBRCQnouDaA3MwULJ05HlljkjyVn+w+gcZrF1HX2YTSrCIUp0/ArIzZuhrvHurE/stHXDm1rNmlWFIwX8papfflYF1OGFBIpTlZNV9IwCIBiwQsAyZBWU2QgKWNJAlY2hjFigUJWNqROtJxFBe6GjxPa5dnTsL87HkBCzJR5ocnX3ZdyXP/+lqaVYyvcSQZH7g5hN0nL6Fr8DpGj7+M+p4LKBpdhvWV9yDF4v+FT/dVQFvHnWe+y7OKkZOajc7+Ls3k5rsuv4eN597xiFHsSt6KgsDJ3/21J5pEXc8JNTfgLJdJVtYYtLf3eNZW7Siaw0KlL9DhiBjhQwJWOHjlrpPNa0euHseptrOYMW4K5ufO0fyxI5z9CbVuVcaL+3TzhZZuTBiXioy0ZAw7nPj6YzM9J5fYFcLf1mzE/qZjqMgqhr2jHkuK5+NTlQ97rhCK4Knnhy+t+t3fLVjf3J+K7BKu7xZadUfq76pwjOGnmi8kYJGARQJWpGZGHe2SgKUNGglY2hjFigUJWMEjxb4w/r52E3bXH/AYrihZjEfLNgQ9sr/36j40X7/sEb0KXc9x3xO0MXdy1tO17ZixaAB/uvAnVy4r9vnk5AeDJin3dwLrUPNxbKhaF7Qc8+/FEy/hQmeDp2/sRcCnZ385qH96T5i5G3nv8vt4/dxmT5ta/nkDp9KXRNnzBGETHFHChwQs2WPOu75Q58Vw9k1P3SqNl4Nnr8DW3O25PmgtzMCiKXkeWHjyVomcGA4XF8JVrx5+yCijEsdU84UELBKwSMCSMcsZVAcJWNpAk4CljVGsWJCApS1giQo87Evum41vY4v9PU/layuW46PFgROqM0N2xeFUw0VMnNyFSzdqkZ+W68plVdPOriCUBD1J5T7RdOpqNZgANXBrADkpOVigcQJAr0Cn9wTV7SuL57Cv6fCIZLla/pGAxTejqPQFms9jMSvChwQsMcbwW8s4mcrfmjGWKo2XrUeb8ft37R7gHl1VgQfmFXr+m53A2njhLVfeKvfngfLleLj8IXT13BB+hZCdwg7HSSk65WcM9/W0otJ40bM3sOg4OeeuAAAgAElEQVQBLVbKxFrS3lBw9UfkjZvfwPb4/UhISgyl6hFle06249dP/2LEvxklwrgbVWnQGoUdtaM9BPwJZdqlQrNQics8SOhZpHjq5bGJ9vXg9hfFE7h28xq2177vcenhyeuwsmB5QBf1nGpiZX7w6knkTb6Eg+13vkCzXFaHWk5gQ+XaoCepWGdYHYOOARxqPYbG683c+boOdxxxiUmXe664EsAXpRViVsZcpCYlaIZR5BdpVhn79bi6/Twmji3Ajtq9nvrpBJYm1FwGZpu/uEDxMiJ8AiMWybWA9Sra1wMertHpGB6UjLdh69TzvzkOW1O3p3H2QMo3Pz3Hc9LYdT3vxMuwd3pdz8sqwddmP4ktR5rx2k6bp+xjq624f27wvJSbm7dgi323p8wD5cuwasJyKVdKVZrHyBfjxwNPi3rWAxKweJCNARsSsGIgSH66SMKSdtzoBJY2RrFioWeRkuVbtG9Y3JuRypxS5IzOxtXedszIm6rrVNN9ZUtxX9HKgHmsGKbsisP+wY2o775zna8ssxgzcmZi8cRZAct6n4Yqy5qEuq5G16kt9uERhliOr7ruJteprZTEZGTE5SGxqwSrZgf/gu4WzRwOJxcl2Abh3z74KbJGZ7lOljFMmWhWlVOGFeOXcn+xV+kLLxdwAkaETXCwCB8SsASGk7ApnY4RhsxVQPSHENFWXK/37bRjx5EmT9E184vwxOoKj4DFrhBuqt+MrV4npx+oWI6Hyx7Cd/7rKOouXkNORgraugZQNjF9hPjl2x/W3uu1f0B8XAJqOxs9LwNPHzcFywuWinb/LnuV5jHyJWQ6hKUCPXsDErDCEgrjKyUBy3jMZbRIApY2iiRgaWMUKxZ6FilZvkWzgOV7HSQ+Lh7zxk/HZ6s+pflcNSu789JuXL/RI/TlleXAerflPWxr3O6BeFnxQqTGZ2L9pBUBYfeb/6rlBIYdw9BK8Or2s9Yr4XxRehEyW1fgCw9OCeirO1/XSVsbZlnHYfG0fK4TW0c6jmFv0yFXgnuGKUtyn5mSjr+f+UVNXN0AqPSFV9ZYImz4kCTukIDFxxT9VipxLNy+6F1H9ERHKwdWcnICtjXuxsWeVs9p5Alp+Xhg0kr8cW89Wjv6PPmz8rNTsXZ+YdA1i611B5qP4PqNXrT3d7ryWYpclQ/mY7jjogdfvWXIF73Ihbecnr1BTAlYlZWVjzidzm8DSLRYLL+pqal5Lhik0bxhkU0FErBkI2pMfSRgaeNMApY2RrFioWeRkuVbtK8HoVwHOXP9DHbV70X3YI/Ql9eOwevYfXkXWq5dQkV2Keq7mzDkGA74ypC/vCulmUXou9mPK33teGDS/XiodFXQkPn6uShnOfKHpmN1kBNYLF/XqzvuXKl4fI0Va+Zon9hiJxR2XXp/xNUKnlNi3g6o9IVX1lgiAYsPSeIOCVh8TNFvpRLHwu2L3nVET3S6+m5g3+lWtLb3IS11FApz0zCzPNvzwwvLgfXC4X9Dw7UWz+vBkzIK8eyCv8Pr79XiT+/fPtXMPh9bWoqPLZ4UtBsy1rpADYQ7Lnrw1VuGfNGLXHjL6dkbxIyAVVJSkpeYmHg4MTFxdnV19TWr1brV6XR+32637wgEa7RvWGTSgQQsmWgaVxcJWNpYk4CljVGsWOhZpGT5Fu3rgd5E5QwfVnb3pb14x77LAxePULPzRAscWY3oHr6C5uuXXFcPyjMnYX72vICw+wpQq0uWob67GbnxRbB0FeEzKz4S9Jdi1tdDV47h1JWzKEwpw8SEKnykcHzAE1XuJ8nPN3Z5+lRVnIlnn5jNdYrKc83majWm52pfyfR1XKUvvLLGEglYfEgSd0jA4mOKfiuVOBZOX0JdR0Qj9O6JFlzq6Me5hk7XNcBhhxO+P7y83bx1xJq9rmIlHipeixdeOQE9612oax0JWKJRjqx9OMeL0Z7p2RvEjIBVWVn5aYfDscJut/8NA9ZqtX4GwDKbzfZ5ErAAMwhYQ0ND2LFjm8vXsWNTcP36gOfFxVAG25o19yMh4U4CYXc7odTpr6xvO8yGBCxtlEnA0sYoViz0LFKyfIt2Acvtp978HKJfXt2J3ItntmL3xTvCl1bSeG+hrTi1AnWnx6K93eH6kr5ybuGIPB/BYsfaZx+enFYyfjnXi6tKXxJljSUSsPiQJO6QgMXHFP1WKnEs3L7IWEd4IsXWmp9tPosrnQO40HInkbvvDy+HOo64cki6HzQpzSzGwuz5rheC9Zw4DvU7BAlYPNGNHptwjxcjPdWzN4glAesbDocj1W63f+tDAWuV0+n8B7vd/gAJWOYQsJjY84cnv4DclNHSxtXVgX584uWfoapqsqdOo9ohAYsvjCRg8eEUC1Z6FilZfsWKgBWqvyJCjb9E7rx5M1g7B6pbUdPU7cnVYS3MwKIpeaG6cFd5I3OX+Dau0pdE2YEhbIIjSviQgCV7zKk8P4V7vBi5jrDTzRfb+rDn5EVPyLxPYPnLB1mWVYynZj2JnoFbOHCmFaI5H8PFtXDHJVz99lcv+WIk2vxt6dkbxIyAZbVa/4fT6UzxFrAAPG2z2dYFE7A6OnqknNLhD0NkLFnws7PT4O3vxs1vYFvcfiQkJUrrVO/Jdvz6678YUR8TfJ479CLSC7OktcNEi39a+PRdwlL9P/1PlI4dK62duuvXUfLc9yLSjlvAMgo7aic4bfxxThrRAlTkb9yGu81I1n/7y8PYiKw7TMAyy3rAG+Pbidz3YGvDNk+RRyY/6Hqlj+fDyh8804qG1h4U56dxJ1fnqdufjYg4p7cNfxtE37VVVt2xXo/Z5i/ReBE+gRGL5FrAeqXKeqASx4zyxYh1pP/GEE7Vd6H+4jU0tl7HLGsu7p0+8vGR3Zfex+vnNgdce43oJ8+cZlRcePoSqg35EiqC4SmvZz2IyEZCj/u+VwbZlUKn07nUZrP9baD62AKlpy1Vyryy8VVs7HtXqoDVf6oTm59/bQRE1dXV+NqW70gXsH649luYOnWqp61Tp05hyxe+iAmpY6SF6GJfL9b+7KeYMWOG4e2wBo3CjtrRpgwTsHw5p12KLEQRsFjYUmX8x+zrQSDEuwauYXfdAZxoPYPZ+dOwonSx66U++hAChAAhEE4EIrUWuAWscPpGdRMCWgjQ2quFEP3dTAiIrgcR2UjoCcjkyZMLhoeH9zscjgXp6endvb29TLZ+uaam5k/BBCyz/OJuhhNYZ86cxlO/egajs+UJWP0dvfjRZ7+PadM+4qGRUe2wBo08vUYnsILPPHQCS8/MLFZGz68sYi0EtlblF3dZeLjrca8dXV29GB429W8+fqFV6RfbcHHHLN+zRPEj7gRGLJJrgVvAUoG3KnHMrL5Ey0mrQKPVrHERne+NtlctLqK3M2JGwGLEqKioeNhisXwbwCin0/lHu93+bDDCmCXnCcPA371edoVwe7zcK4Q97Arh03dfIfzuYflXCP9xwd1XCFVqxy1gqeSTaknpw70gqXQfnwcrPffceerlsTHTesCDh7eAlZOThvZ2c1y3F8Em0NoqWoeq9mabv0TjSPgEF7DGjYvMdXK3gKXCnKcSx8gX0RnGGHuKizE4i7aiWlxE14OYErBEg2umDQsJWKLsuG0f6QThqgk+qvmjj1X8pVRagHi8JgGLByVjbczGQVF0CZ/gIgSJn4SP6JhyC8OiGxY97QQqo8r+QKX5iXyRyXB5dVFc5GEpsybV4iK6HpCAJZNNEayLBCx94JOApQ+3SIt/Rgll+tHhK6nSAsTjMQlYPCgZa2M2DoqiS/iQQCPKGbc9cSc4d0Q3LHrj4K8cCVgy0ZRTl0rjhXyRwwnZtVBcZCMqpz49ewMSsORgH/Fa/A3K3236Ld7s3In4UfHS+tdzph1//NdNI+ozSkxQrR0Gomo+GeVPdfVp/M+3v4MxefKSTfdeuYbvrWcPB9zJhyZt4ASoSKXFlAcrPYsUT708NqpsWHh8FbExGwdFsGG2hA8JWKKcIQFLG7FIrgWsd6qsByrNT+SL9riJhAXFJRKoa7epWlxEf9AgAUubIzFh4Y/Ir772Ov7rndOIS0iU5sOtrnrs/APlwBIF1N9JLxKw+FD0hx1LtP/V7/wSKWPH8VXCYTVwvQ0/+dbnRiT05ygWkolKCxAPEJHctKiyYeHBWcTGbBwUwYYErOBoEXcIH9Hx5C3uiW5Y9Lblr5wq64FKY5B8kclweXVRXORhKbMm1eIiuh6QgCWTTRGsy+8Vwk1v4s0ziYhPTJLWs8HLx/DbHz8zoj6jTt2o1g4JWHy0DHTN859+fhhpOUV8lXBY9bQ34bnPL0BV1WQOazkmKi1APIiQgMWDkrE2ZuOgKLqET2DECBsSsETHEwlYehHzX06lMUi+yOWGrNooLrKQlFuPanEhAcuLH6r8wsJDeRKweFC624ZyYOnDjZWKJHZMzCQBS3/sIlWSBKxIIU8ihF7kVfqSqBeDQOUIGxKw9HIqkmsB67Mq+wOVxiD5onc0hbccxSW8+OqtXbW4kIBFAhacztsgbKQTWJrzQiRFGNY51U6VGekPCVia9I46g0huWlTZsMgOqkpfgmRjw+ojfEj81Msr4k5w7ohuWPTGwV85VdYDlThGvshkuLy6KC7ysJRZk2pxEV0P6AqhTDZFsC46gaUPfBKw9OHGSkUSOzqBpT9ukSxJAlYk0ffftkpfgsKBLuFDApZeXhF3SMDSyx3ecipxjHzhjbqxdhQXY/HmbU21uJCA5RV5VX5h4SEzCVg8KN1tE0kRhvXGyBNL3z38ItILs/QB5adUJLEjAUtaGA2tiAQsQ+HmakylL0FcDgsaET4kYAlSxmNO3CEBSy93eMupxDHyhTfqxtpRXIzFm7c11eJCAhYJWHSFkHf0R/gUEQlYfIGiJO58OMWCFQlY0Rcllb4EhQNdwocELL28Iu6QgKWXO7zlVOIY+cIbdWPtKC7G4s3bmmpxIQGLBCwSsHhHPwlYAkjdbUonsEKCz1VYpQWIBw0SsHhQMtbGbBwURZfwIQFLlDNue+IOCVh6ucNbTiWOkS+8UTfWjuJiLN68rakWFxKwSMAiAYt39JOAJYAUCVghgRWgsEoLEA8+JGDxoGSsjdk4KIou4UMClihnSMDSRiySawHrnSopRlSan8gX7XETCQuKSyRQ125TtbiQgEUCFglY2uPeYxHJU0SsE5QDSztYdIVQG6NYsYjkpkWVDYvsWKv0JUg2Nqw+wocELL28Iu4E547ohkVvHPyVU2U9UIlj5ItMhsuri+IiD0uZNakWF9H1gF4hlMmmCNblj8gbN72JN88kIj4xSVrPBi8fw29//MyI+kiE0YbXnwhDApY2bsyCBCw+nGLBigSs6IuSSl+CwoEu4UMCll5eEXdIwNLLHd5yKnGMfOGNurF2FBdj8eZtTbW4kIDlFXlVfmHhITMJWDwo3W1DJ7D04RZMWDLqtcN/+vlhpOUU6XfAp2RPexOe+/wCVFVNllanVkUqLUBavrK/k4DFg5KxNmbjoCi6hA8JWKKccdsTd0jA0ssd3nIqcYx84Y26sXYUF2Px5m1NtbiQgEUCFl0h5B39lANLACk+8a+6+jT+59vfwZi89JDq9i7ce+Uavrf+W5g69SOef2an/kjAkgaxYRWRgGUY1NwNqfQliNtpAUPChwQsAbqMMCXukICllzu85VTiGPnCG3Vj7SguxuLN25pqcSEBiwQsErB4Rz8JWAJI8QlYZ86cxle/80ukjB0XUt3ehQeut+En3/ocpk0jAUsaqBGqiASsCAEfpFmVvgSFA13ChwQsvbwi7pCApZc7vOVU4hj5wht1Y+0oLsbizduaanEhAYsELBKweEc/CVgCSPEJWEadjDKqnZAA4iis0gLE4S5dIeQByWAbs3FQFF7ChwQsUc647Yk7JGDp5Q5vOZU4Rr7wRt1YO4qLsXjztqZaXEjAIgGLBCze0U8ClgBSJGCFBFaAwiotQDz40AksHpSMtTEbB0XRJXxIwBLlDAlY2ohFci1gvVMlR65K8xP5oj1uImFBcYkE6tptqhYXErBIwCIBS3vceywoibsAWD6mkXwdkE5g6Y9bJEtGctOiyoZFdvxU+hIkGxtWH+FDApZeXhF3gnNHdMOiNw7+yqmyHqjEMfJFJsPl1UVxkYelzJpUi4voemCRCWa01aXKAsWDqz8ib9z0Jt48k4j4xCSeKrhsBi8fw29//MwIWyYmGPXynErtMBCNwk615OokYHEN16gzIgEr6kJCAo1GSFT6kiibfYRNcEQJHxKwZI853/pU4hj5Em626Kuf4qIPt3CXUi0uJGB5MYYELBKwtCYQs5zAUi25OglYWsyOzr+TgBV9cVHpS1A40CV8gosQOTlpaG/v8Zz8DkcMYrVO4g4JWOHmrkocI1/CzRZ99VNc9OEW7lKqxYUELBKw6AqhwKxhFgHLKMFHtXYEqKTLVKUFiAcAErB4UDLWxmwcFEWX8CEBS5QzbnviDglYernDW04ljpEvvFE31u7/sncm0HEc95n/BgDBAzwAECTBEwABDHhLJCjqIEWJkahblh3Ldmw5kZ1kk7U3zq6TjaNcTmwnju1kV5vL3s0q63UiWU5kr6wrkkhKlEgdvCnexAwuEiAIkLgoECAJAZh9PeQMB8Bgqqqnj0HVx/fyYqGrqvv/+39V1fV1dQ/z4i1v2bPplhcaWDSwaGDJ9n7DPuL+J0/txrSiRQp0UhftaT+Nb/36zViyZGm8IA0sNbw6TUAykdPAkqHkbRnTNKhKl3xoYKlqhgaWmJifc4F1dbq8oaHT+MRYxP3GjxLMix/UxefULS80sGhg0cAS9/t4Ce7AUoA1oigNLPvsTF3g+Llo0WXBkr7qhreg002Q02ys9siHBpZdXVE7qbWjumCxm4dk9XSZD3TSGGNxUuHOtcW8OMfSyZZ0y4vqfMCPuDupJh/bSiZkfsRdnBAaWGJGY5UwwcAaGBhAbW3YPqQxalZUVCInJ8e4xTENLMellHaDOt0EpQ0jSQPkQwPLrq6oHRpYdrUjW08njTEW2ax7W4558Za37Nl0ywsNrITM6/KERUbMNLBkKI0uQwPLHjerlgkGlvVK5A/++gUU5s+zD2pEzc7uFnzpvz4SffVSpwlIBhANLBlK3pYxTYOqdMmHBpaqZmLlqR0aWHa1I1tPJ40xFtmse1uOefGWt+zZdMsLDSwaWHyFULb38xtYCqRGFzXFwPrXp/ZitoPfDjvXfhqf+fWbaGClpT71yiY90FCho9NNkErcsmXJhwaWrFZGlqN2aGDZ1Y5sPZ00xlhks+5tOebFW96yZ9MtLzSwaGBpa2AdO3YEf/TKNzF1zgzZ/i0sd7HtAv7iwa9j+fKV8bLWrps/3/3fMGNhobC+bIFkO72sul6dS7ePq3sZDw0sWZWLy3EHlpiR1yV0uglygx350MCyqytqhwaWXe3I1tNJY4xFNuvelmNevOUtezbd8kIDiwaWtgbW0aNH8JVv/hCTp8+S7d/Ccpc+PI+/+/oXsWIFDSwhrBEFuANLldjV8tyBNd2Xby9yB1Zyvep0E2SvR6auRT40sOzqitqhgWVXO7L1dNIYY5HNurflmBdvecueTbe80MCigaWtgeXlrhvuwBIPoTSwxIySlaCBRQPLnnLcqaXTTZAbhMiHBpZdXVE7NLDsake2nk4aYyyyWfe2HPPiLW/Zs+mWFxpYNLBoYMn2/hQfIqeBJYZIA0vMiAbWcAJ8hdCeZtyspdNNkBucyIcGll1dUTs0sOxqR7aeThpjLLJZ97Yc8+Itb9mz6ZYXGlg0sGhgyfZ+GlgKpEYXpYFlDx93YHEHlj3luFNLp5sgNwiRDw0su7qidmhg2dWObD2dNMZYZLPubTnmxVvesmfTLS80sGhg0cCS7f00sBRI0cBKC1ZCZRpYNLCc0pIT7eh0E+QEj5FtkA8NLLu6onZoYNnVjmw9nTTGWGSz7m055sVb3rJn0y0vNLBoYNHAku39NLAUSNHASgsWDawoAb5C6JSKnGtHp5sg56hcb4l8aGDZ1RW1QwPLrnZk6+mkMcYim3VvyzEv3vKWPZtueaGBRQOLBpZs76eBpUCKBlZasGhg0cBySkAOt6PTTZDDaOKaLSqahvb2nvjc6sZ5xmOb1E7qrJEPDSy3+7VOGmMsbqvFXvvMiz1ubtfSLS80sGhg0cBSGDXG+o4TP+IuhshvYIkZJSvBVwj5CqE95bhTS6ebIDcIkU9qE4LmHvnY6Xd+7sa1rjcSiUR0MKV1Gp8Yi52e5H4d5sV9xnbOoFteaGDRwKKBpTAS0MBSgDWiKA0se+xoYNHAsqccd2rpdBPkBiHyoUFjV1fUDndg2dWObD2dNMZYZLPubTnmxVvesmfTLS80sGhg0cCS7f1jvEJ47NgR/NEr38TUOTMUWkpd9GLbBfzFg1/H8uUrhxU8efIEvNjtZZ3nT57ajWlFixyLyQQDy9LCPz75Cgrz5znGrbO7Bb/x1QejWtBpApIB5OdTd12euMtwViljmgZV2FhlyYcGlqpmYuWpHRpYdrUjW08njTEW2ax7W4558Za37Nl0ywsNLBpYNLBke/8YBtbRo0fwlW/+EJOnz1JoKXXRSx+ex999/YtYsYIGlipUP40ySwtf+pvfwuT8KaqXPWb5S919+MF//vuoFnSagGQA0cCSoeRtGdM0qEqXfGhgqWqGBpaYmJ9zgXV1ujzQ0Gl8YizifuNHCebFD+ric+qWFxpYNLBoYIn7fbyEn+aIdRHcgSVOlp85cjs/Ok1A4kzyVwhlGHldxjQNqvIlHxpYqpqhgSUmRgNLzEimhE7jE2ORybj3ZZgX75nLnFG3vNDAooHluYHl1St3ur0GZ0mV7MTDNA0sMaPxUsLPRYsuT9ydzrVON0FOs7HaIx8aWHZ1Re2k1o7qgsVuHpLV02U+0EljjMVJhTvXFvPiHEsnW9ItL6rzQcBJmJnWli4TlAzXZEL+2fMv4sWjE5A9YaJME1JlLp/dhx//zdeGlfXqlTsdDSyyE8uOBpaY0XgpQQMr8zKl002QG3TJhwaWXV1ROzSw7GpHtp5OGmMssln3thzz4i1v2bPplhcaWAmZp4HljYGlm7HkVTyWVL06F88jnhKSGWVu75DTaQISE+YrhDKMvC5jmgZV+ZIPDSxVzcTKUzs0sOxqR7aeThpjLLJZ97Yc8+Itb9mz6ZYXGlg0sDx/hZDmiHi4SWaO0MASc7NK+LkDy+0dcjpNQDLZ5A4sGUreljFNg6p0yYcGlqpmaGCJifk5F1hXp8sDbp3GJ8Yi7jd+lGBe/KAuPqdueaGBRQOLBpa438dL+GmO0MCSS5SfOXLbnNVpApLJpp+LFl0WLDKcVcqYpkEVNlZZ8qGBpaoZGlhiYn7OBTSwxPnxo4ROYy1j8UNB4nMyL2JGfpSwMx/wG1h+ZMqFcybrlF59A8vtRX4Ml27noYEl1xFoYMlxGg+l7ExSTsVFAys5SZ1u6JzSSmI75EMDy66uqJ3U2lF94m43D8nq6TIf6KQxxuKkwp1ri3lxjqWTLemWF9X5gAaWk2rysS0aWPbg+2mO0MCSy5mfOXLbNNVpApLJJg0sGUreljFNg6p0yYcGlqpmYuWpHRpYdrUjW08njTEW2ax7W4558Za37Nl0ywsNrITM6/KERUbMNLBkKI0u46c5QgNLLmd+5shLA+ujjwZQWxuWg6JQqqKiEjk5OQo13CtKA8s9tnZb1ukmyC6DVPXIhwaWXV1ROzSw7GpHtp5OGmMssln3thzz4i1v2bPplhcaWDSw+A0s2d7v8wfCaWDJJcoUA+vEiRP4wV+/gML8eXJgJEp1drfgS//1ESxZslSitPtFaGC5z1j1DDrdBKnGLlOefGhgyegkWRlqhwaWXe3I1tNJY4xFNuvelmNevOUtezbd8kIDiwYWDSzZ3k8DS4HU6KI6G0uxaL3cgWUZWP/61F7MLlqUVl4SK59rP43P/PpNNLA0+tUpx8RxrSGdboKcZmO1Rz40sOzqitqhgWVXO7L1dNIYY5HNurflmBdvecueTbe80MCigUUDS7b308BSIEUDKy1YCZUTjb/ECYgGllOEk7dj0ivlKiR1uglSiVu2LPnQwJLVyshy1A4NLLvaka2nk8YYi2zWvS3HvHjLW/ZsuuXFdQOrsrLyi4FAYGMoFPpiDHIwGPw2gE9Y/x2JRH4vHA6/bP3vqqqqT0UikT8FMCEQCDxdU1PzLevvFRUVy7Oysp4CMAPA0b6+vsebm5svVVVVTYtEIv8CoBLAxcHBwcfq6upqrTpjnSNVok1asPAbWLJdfng5P3cRWVfi9g6fWLQ8j1gffmiBBpY4L06VMGk+UGGm002QStyyZcmHBpasVmhgyZPy83Xya2uVSHt7T/yBr/yVZ1ZJncYnxpJZ2opdDfPCvLhNwM58IP0rhBUVFRMDgcA3A4HAlwKBwE9ramp+9ZpJ9QiAL9fU1Ny3bNmyOQMDA+8ODAysiUQikyZMmLB7woQJa44dO3YhGAy+FolEvhcOh7cGg8GDAL4SCoXeCQaD37AMrlAo9IeVlZVPZmVldVpGV1VV1aZIJPLnoVBofTAY/Lh13pHnqK+vv0AD6yoBGlj2upcfpkXildJYEufNzxy5nR8aWOL8O1WCBlZykjrdnDqllcR2yIcGll1dUTuptaP6xN1uHpLV02U+0EljjMVJhTvXFvPiHEsnW9ItL6rzgbSBVVVVdd/Q0NCdABqysrJujhlYwWDQ2kn1digUsnZOWTulngoEAm9Z/3toaGhTOBz+tWt//2UAdwwNDf1ZVlaWVb7c+nt5efnC7Ozs7aFQqCIYDNYODg5uqqura7pWp9Y6Z1ZW1p8lO0dNTc3TNLBoYKUzIPhpjljX7bZBEmPD84hV4ocWEiego0eP4B+ffMXxj7j/xlcfxPLlK8UAPChh5ymLU5ely/BamioAACAASURBVILFKR6xdnS6CXKajdUe+dDAsqsraocGll3tyNbTSWOMRTbr3pZjXrzlLXs23fLimoEVAxoMBh8PBAJ3JBhYrwYCgb+qqal50ypTVVX1rUgk0hsIBCJDQ0N54XD469fMqLus1wsB/KlVPhQKbbzWZnYwGOwNhUKTgsHgpVAolGd5X9fq7BgaGvr9rKysryc7RygU+g4NLBpYsp09WTk/TIvE66CxJM6enzlyOz+JE9CRI0fw+G//GXInTxdDkSzRf+lD/Ohv/wwrVtDAooGVXDQ63QRJdgulYuRDA0tJMAmFqR0aWHa1I1tPJ40xFtmse1uOefGWt+zZdMtL2gZWVVXVo5FI5Enrc1bXIFq7tE5br/JdM5WGGVhVVVWvA/huooFlfRs7EolkRyKRyYkGFoDfHRoa+lZWVtZ3RxhYPaFQaEowGLwSCoUmJxhYO606gUDA+nbWqHPU1NR8T2RgdXSM/3fcZcRsCXnmzGlIjPenz7+I/3dgANk5E2WakCpzue0gnvv+Hw8ray3yv/pXP0de/lypNmQK9XafxZO/9/Fhv56m23ksDrrFxHjE6k7UdmK/tT7i7kU/El+heyWuTrjTpXf+OnklloFlynygwi3Z3KFSX/ey5JPahBh536G7HlTio3ZE5qc/c4F1VbrMBzppjLGojC7elWVevGOtcibd8qK6NlBeSIzcgVVZWflPWVlZb9bU1DxzzeB6KhKJvBkIBLKtVwZDodCvW3+vqqr6fCQS2Tg4OPit2CuD1t8rKioWBAKBN8PhcDAYDNYBsD4Qf+ZaW7XWB+OvmV6jzhEOh3+skmyWJQESIAESIAESIAESIAESIAESIAESIAESGH8EnDCwfhHAb4TD4QfLysqKJkyY8P7g4OAtubm52YODg+8ODQ3dPGPGjO6LFy9av0z4DzU1NS8Gg8FDAH4rFArtDAaDX49EIgXhcPirVVVVfwOg3fqI+5IlS+4cGhp6MhQKra6srEx6jrq6unPjDzmvmARIgARIgARIgARIgARIgARIgARIgARIQIVA2gaWdbJgMPgXAKxfI8wC8I1QKPSv1t8rKys/GQgE/hRAbiQS+Xk4HH7C+ntFRcWy7Oxsa6eW9bGXhkAg8LmampqexYsXz5gwYcI/DQ0NVQUCgctZWVm/evLkySOpzqESLMuSAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmMPwLKBtb4C5FXTAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkMJ4J0MAaz9njtZMACZAACZAACZAACZAACZAACZAACZCAAQRoYBmQZIZIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAuOZAA2s8Zw9XjsJkAAJkAAJkAAJkAAJkAAJkAAJkAAJGECABpYBSWaIJEACJEACJEACJEACJEACJEACJEACJDCeCdDAGs/Z47WTAAmQAAmQAAmQAAmQAAmQAAmQAAmQgAEEaGAZkGSGSAIkQAIkQAIkQAIkQAIkQAIkQAIkQALjmQANrPGcPV47CZAACZAACZAACZAACZAACZAACZAACRhAgAaWAUlmiCRAAiRAAiRAAiRAAiRAAiRAAiRAAiQwngnQwBrP2eO1kwAJkAAJkAAJkAAJkAAJkAAJkAAJkIABBGhgGZBkhkgCJEACJEACJEACJEACJEACJEACJEAC45kADazxnD1eOwmQAAmQAAmQAAmQAAmQAAmQAAmQAAkYQIAGlgFJZogkQAIkQAIkQAIkQAIkQAIkQAIkQAIkMJ4J0MAaz9njtZMACZAACZAACZAACZAACZAACZAACZCAAQRoYBmQZIZIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAuOZAA2s8Zw9XjsJkAAJkAAJkAAJkAAJkAAJkAAJkAAJGECABpYBSWaIJEACJEACJEACJEACJEACJEACJEACJDCeCbhuYAWDwd+JRCJfDAQCkUgksnf+/Pm/2dbWtmRwcPB/A5gB4GhfX9/jzc3Nl5YsWVI6NDT0FICiSCQykJWV9Xs1NTXbLcDBYPDbAD5h/e9IJPJ74XD45fEMntdOAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiQgR8BVAysYDN4E4Kn+/v6bGxsbLweDwR8FAoGDkUjkcQBfCYVC7wSDwW8AyAmFQn8UDAZfDgQCz9bU1DwTDAaXAHgrFArNDQaDjwQCgS/V1NTct2zZsjkDAwPvDgwMrKmvr78gFyZLkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJjFcCrhpY5eXlFdnZ2XNDodBOC1AwGPzdQCCwPBKJ3BEKhcqtv5WXly/Mzs62jKryYDD4mf7+/hcsswtAVjAYbA8EAiWRSORJAG+HQqF/udbOU4FA4K2ampqnxyt4XjcJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIAcAVcNrMRLKC8vn52dnb07EAj8IBKJPBQKhTZeO54dDAZ7Q6HQpMTywWDwCQB3h0Khu4PB4KuBQOCvampq3rTKVFVVfSsSiVh1viMXJkuRAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmMVwKeGFjXvm1lfbPq6aGhobezsrK+O8LA6gmFQlNiEKuqqn4/Eon8enZ29sYTJ06craqqeh3AdxMNLAA9NTU13xuv4HndJEACJEACJEACJEACJEACJEACJEACJEACcgRcN7AqKytvDAQClnn17VAo9P1rrwxuD4VCFdYlVlRULAgEAm+Gw+Gg9d+VlZXfDwQCtwwODt5XV1d37trf/ikrK+tN69tY1n8Hg8GnIpGIVefHqcIcGhqKBAKuhyhHmqVIgARIgAQQ8GlQ5nxA8ZEACZBA5hDway6wCHA+yBwd8EpIgARIQHU+cNXdqaiomJWVlXUYwJdCodDPY+kJBoOHAPyW9W2sYDD49UgkUhAOh7967YPud06aNOmBw4cP98bKV1ZW/iKA3wiHww+WlZUVTZgw4f3BwcFbYgbXWGm3fvawo6MHkYj+wrB8upkzp8GEeE2K1VIu49W3/5qY26Ki6a7OO5wP1PqLaRpUo2Pe+KvCh9pJTYt8xuZjsfFrLrCuSpf1gU4aYywqo693ZZkX71irnEm3vKjOB64uJKqqqv48Eon8FwAhax1uzRmBQOCVwcHBZ7Ozs61dVNMBNAQCgc9NnDhx6PLly+0AzgD4MFYewMOhUOhMMBj8NoCPWR93B/CNUCj0r6JEWxNUe7s5BlZR0TSYEO/VGx8zYo0ZWIxX1NvH53ETtTxrln8Glgnjo2pPME2D5KNKQGRCmDMXq5Jj30qtHb/mgpiBpcN8oJPGGIvqCONNeebFG86qZ9EtL6rzgasGlmoynC5PA8tpopnRnk6dVoYo45WhND7LmJhb1UnKqcyaNB+oMDNNgypsTHyAoMKH2klNi3xoYKn0JztlddIYY7GjAPfrMC/uM7ZzBt3yoro2oIFlRzUZWEcnIYvwmhSriQsok/JrUqwxLatOUqLxQPY4DazkpEzToKxeYuXIJ7UJYdLuYGpHlQANLOeI6T9+6zTWMha3lW+vfebFHje3a1l5UV0b0MByOyseta9TpxQhMylWGlgiNYzv4yZqWXWScirDNLD0XwA5pZXEdkzroyoMySY1LfKhgaXSn+yU1UljjMWOAtyvw7y4z9jOGXTLi+ragAaWHdVkYB2dhCzCa1KsNLBEahjfx03Usuok5VSGaWDRwLKjJdP6qAojsqGBpaKXkcawX3OBdR26zAc69UHGYrc3uVuPeXGXr93WdcuL6nxAA8uucjKsnk5CFqE1KVYaWCI1jO/jJmpZdZJyKsO6LFic4hFrxzQNqvIjn7GJkQ0NLNX+lDju+DUX0MCymzV36+k0njAWd7Vit3XmxS45d+vxFcIRfE1asOjUKUXdxKRYaWCJ1DC+j5uoZb8WLSbNByq9wjQNqrAxcfxV4UPt0MBS0UtiWTsLFrvnSlZPl/lApz7IWJxUuHNtMS/OsXSyJd3yoro24A4sJ9XkY1s6CVmE0aRYTVxAmZRfk2KNaVl1khKNB7LHdVmwyMYrW840DcpyiZUjn7GJkQ0NLNX+lNiv/JoLrGvQZT7QqQ8yFru9yd16zIu7fO22rlteVOcDGlh2lZNh9XQSsgitSbHSwBKpYXwfN1HLqpOUUxnWZcHiFA8aNHIkTeujclSuliIbGlgqekksyx1YdskNr6dTH2QszmjC6VaYF6eJOtOebnlRXRvQwHJGR763opOQRTBNitXERYJJ+TUp1piWVScp0Xgge5wGVnJSpmlQVi80+MSkqB0aWGKVjD3u+DUXWFeky3ygUx9kLHZ7k7v1mBd3+dptXbe8qM4HNLDsKifD6ukkZBFak2KlgSVSw/g+bqKWVScppzKsy4LFKR40aORImtZH5ahcLUU2NLBU9JJYljuw7JIbXk+nPshYnNGE060wL04TdaY93fKiujaggeWMjnxvRSchi2CaFKuJiwST8mtSrDEtq05SovFA9jgNrOSkTNOgrF5o8IlJUTs0sMQqGXvc8WsusK5Il/lApz7IWOz2JnfrMS/u8rXbum55UZ0PaGDZVU6G1dNJyCK0JsVKA0ukhvF93EQtq05STmVYlwWLUzxo0MiRNK2PylG5WopsaGCp6CWxLHdg2SU3vJ5OfZCxOKMJp1thXpwm6kx7uuVFdW1AA8sZHfneik5CFsE0KVYTFwkm5dekWGNaVp2kROOB7HEaWMlJmaZBWb3Q4BOTonZoYIlVMva449dcYF2RLvOBTn2QsdjtTe7WY17c5Wu3dd3yojof0MCyq5wMq6eTkEVoTYqVBpZIDeP7uIlaVp2knMqwLgsWp3jQoJEjaVoflaNytRTZ0MBS0UtiWe7AsktueD2d+iBjcUYTTrfCvDhN1Jn2dMuL6tqABpYzOvK9FZ2ELIJpUqwmLhJMyq9Jsca0rDpJicYD2eM0sJKTMk2DsnqhwScmRe3QwBKrZOxxx6+5wLoiXeYDnfogY7Hbm9ytx7y4y9du67rlRXU+oIFlVzkZVk8nIYvQmhQrDSyRGsb3cRO1rDpJOZVhXRYsTvGgQSNH0rQ+KkflaimyoYGlopfEstyBZZfc8Ho69UHG4owmnG6FeXGaqDPt6ZYX1bUBDSxndOR7KzoJWQTTpFhNXCSYlF+TYo1pWXWSEo0HssdpYCUnZZoGZfVCg09MitqhgSVWydjjjl9zgXVFuswHOvVBxmK3N7lbj3lxl6/d1nXLi+p8QAPLrnIyrJ5OQhahNSlWGlgiNYzv4yZqWXWScirDuixYnOJBg0aOpGl9VI7K1VJkQwNLRS+JZbkDyy654fV06oOMxRlNON0K8+I0UWfa0y0vqmsDGljO6Mj3VnQSsgimSbGauEgwKb8mxRrTsuokJRoPZI/TwEpOyjQNyuqFBp+YFLVDA0uskrHHHb/mAuuKdJkPdOqDjMVub3K3HvPiLl+7reuWF9X5gAaWXeVkWD2dhCxCa1KsNLBEahjfx03Usuok5VSGdVmwOMWDBo0cSdP6qByVq6XIhgaWil4Sy3IHll1yw+vp1AcZizOacLoV5sVpos60p1teVNcGNLCc0ZHvregkZBFMk2I1cZFgUn5NijWmZdVJSjQeyB6ngZWclGkalNULDT4xKWqHBpZYJWOPO37NBdYV6TIf6NQHGYvd3uRuPebFXb52W9ctL6rzAQ0su8rJsHo6CVmE1qRYaWCJ1DC+j5uoZdVJyqkM67JgcYoHDRo5kqb1UTkqV0uRDQ0sFb0kluUOLLvkhtfTqQ8yFmc04XQrzIvTRJ1pT7e8qK4NaGA5oyPfW9FJyCKYJsVq4iLBpPyaFGtMy6qTlGg8kD1OAys5KdM0KKsXGnxiUtQODSyxSsYed/yaC6wr0mU+0KkPMha7vcndesyLu3zttq5bXlTnAxpYdpWTYfV0ErIIrUmx0sASqWF8HzdRy6qTlFMZ1mXB4hQPGjRyJE3ro3JUrpYiGxpYKnpJLMsdWHbJDa+nUx9kLM5owulWmBeniTrTnm55UV0b0MByRke+t6KTkEUwTYrVxEWCSfk1KdaYllUnKdF4IHucBlZyUqZpUFYvNPjEpKgdGlhilYw97vg1F1hXpMt8oFMfZCx2e5O79ZgXd/nabV23vKjOBzSw7Conw+rpJGQRWpNipYElUsP4Pm6illUnKacyrMuCxSkeNGjkSJrWR+WoXC1FNjSwVPSSWJY7sOySG15Ppz7IWJzRhNOtMC9OE3WmPd3yoro2oIHljI58b0UnIYtgmhSriYsEk/JrUqwxLatOUqLxQPY4DazkpEzToKxeaPCJSVE7NLDEKhl73PFrLrCuSJf5QKc+yFjs9iZ36zEv7vK127pueVGdD2hg2VVOhtXTScgitCbFSgNLpIbxfdxELatOUk5lWJcFi1M8aNDIkTStj8pRuVqKbGhgqeglsSx3YNklN7yeTn2QsTijCadbYV6cJupMe7rlRXVtQAPLGR353opOQhbBNClWExcJJuXXpFhjWladpETjgexxGljJSZmmQVm90OATk6J2aGCJVTL2uOPXXGBdkS7zgU59kLHY7U3u1mNe3OVrt3Xd8qI6H9DAsqucDKunk5BFaE2KlQaWSA3j+7iJWladpJzKsC4LFqd40KCRI2laH5WjcrUU2dDAUtFLYlnuwLJLbng9nfogY3FGE063wrw4TdSZ9nTLi+ragAaWMzryvRWdhCyCaVKsJi4STMqvSbHGtKw6SYnGA9njNLCSkzJNg7J6ocEnJkXt0MASq2TsccevucC6Il3mA536IGOx25vcrce8uMvXbuu65UV1PqCBZVc5GVZPJyGL0JoUKw0skRrG93ETtaw6STmVYV0WLE7xoEEjR9K0PipH5WopsqGBpaKXxLLcgWWX3PB6OvVBxuKMJpxuhXlxmqgz7emWF9W1AQ0sZ3Tkeys6CVkE06RYTVwkmJRfk2KNaVl1khKNB7LHaWAlJ2WaBmX1QoNPTIraoYElVsnY445fc4F1RbrMBzr1QcZitze5W495cZev3dZ1y4vqfEADy65yMqyeTkIWoTUpVhpYIjWM7+Mmall1knIqw7osWJziQYNGjqRpfVSOytVSZEMDS0UviWW5A8suueH1dOqDjMUZTTjdCvPiNFFn2tMtL6prAxpYzujI91Z0ErIIpkmxmrhIMCm/JsUa07LqJCUaD2SP08BKTso0DcrqhQafmBS1QwNLrJKxxx2/5gLrinSZD3Tqg4zFbm9ytx7z4i5fu63rlhfV+YAGll3lZFg9nYQsQmtSrDSwRGoY38dN1LLqJOVUhnVZsDjFgwaNHEnT+qgclaulyIYGlopeEstyB5ZdcsPr6dQHGYszmnC6FebFaaLOtKdbXlTXBjSwnNGR763oJGQRTJNiNXGRYFJ+TYo1pmXVSUo0Hsgep4GVnJRpGpTVCw0+MSlqhwaWWCVjjzt+zQXWFekyH+jUBxmL3d7kbj3mxV2+dlvXLS+q8wENLLvKybB6OglZhNakWGlgidQwvo8najkQCGBoKCIdUFaWu+WlL0ShoJ9P3XVZsCjglipq2ngqBSWhEPmMTYxsaGCp9qdEY1h1wWL3XMnq6TIf6NQHGYuTCneuLb/yYt3jWv83MDDkWDB+xeJYAJrem9hZG9DAckNVPrSpU6cU4TMpVhpYIjWMv+OJxpOl5ezcCXj1vQYcDJ3H6uAs3LaiGHkTc8YMrP/KAEJH29AQakdZsAjBFXOQ62B5N4namaScuh5dFixO8UhcSBYVTUN7ew8i8v6p05eRse2ZNt+oJIJsaGCp6CWxrJ9zgXUduswHOvVBxmK3N7lbz+u8WPe4Jw+3oiHcjtnF0zB95hQsKi/EtKkT0w7U61jSvuAUDegWi+oDDRpYbqrLw7Z1ErIIm0mx0sASqWH8HO+9MoD3jrYOM6qmTsrBGx+04OlXT8YD+ezmIDZXLxgzsKP7z2Dn1nD8+O2bK7Gier5j5d0k6ueiRZcFi9P5MW08VeVHPmMTIxsaWKr9KdE4V12w2D1Xsnq6zAc69UHG4qTCnWvL67wc3teMd7fVxgNYsXo+Jk7LxbrbStIOyutY0r5gGlhjEqCB5aa6PGxbp04pwmZSrDSwRGoYP8e37m/Gs1tDw4yq+9YtxHeePoATp7rif19SUoAnHluT9HVCa/fWC898gOaE8gtKCvDIYzc6Ut5tmjSw3Cas3r5p46kqIfKhgaWqmUSThrsbk9Pzcy6wrogGll1Vu1dPp7GWsdjTiXWP+/NnDuLMqe54A3MXzMDU/Em47+PL036dkHmxlxe3a9mZD2hguZ0Vj9rXqVOKkJkUKw0skRrGx3FrUv7OMwdwcoRR9QefX4OtB85wB5YHadRlweI0KtPGU1V+5EMDS1UzNLDExOwsWMStypfQZT7QaXxiLPL69bKkl3mx7pW3v1GL47ub4iFe3YE1AetuK007bC9jSftiBQ3oFovqjlwaWG4rzKP2dRKyCJlJsdLAEqlh/BxPtgPrnrUL+A0sj1Koy4LFaVymjaeq/MiHBpaqZmhgiYnRwBIzkimh0/jEWGQy7n0Zr/Oy93gbPmrvw/mmC5g9dxqmFUxBSSW/gTUy817nxU3l2ZkPaGC5mREP29ZJyCJsJsVKA0ukhvFzfKxvYMVeMeGvELqbSxpYyfmaNp6qqox8aGCpaoYGlpiYnQWLuFX5ErrMBzqNT4xFXr9elvQ6L9a98q5jrThzvhc3BotQPm9Gyh82UmHhdSwq16ZaVrdYuAMrQQG6TFAyotZJyKJ4TYqVBpZIDePv+MhfITTpGyl+LlpMmg9UeoVp46kKGxPHXxU+1E5qWuST2vxUXbCoaFNUVpf5QCeNMRaRav057ldeEu+VnYrcr1icuv7EdnSLRXU+4A4sN1TlQ5s6CVmEz6RYTVxAmZRfk2KNaVl1khKNB7LHdVmwyMYrW840DcpyiZUjn9QmhEkGPLWjSoAGlnPEkrek0/jEWNxWi732mRd73NyupVteVNcGNLDcVphH7eskZBEyk2KlgSVSw/g+bqKWVScppzJMA0v/BZBTWtH1KafTfEwbv1T5kQ8NLFXNqJbXSWOMRTX73pRnXrzhrHoW3fKiujaggaWqmAwtr5OQRYhNipUGlkgN4/u4iVpWnaScyjANLBpYdrRkWh9VYUQ2qWmRDw0slf5kp6xOGmMsdhTgfh3mxX3Gds6gW15U1wY0sOyoJgPr6CRkEV6TYqWBJVLD+D5uopZVJymnMkwDiwaWHS2Z1kdVGJENDSwVvSSWtbTj11xgXYcu84FOfZCx2O1N7tZjXtzla7d13fKiOh/QwLKrnAyrp5OQRWhNipUGlkgN4/u4iVpWnaScyrAuCxaneMTaMU2DqvzIZ2xiZEMDS7U/JY47fs0FNLDsZs3dejqNJ4zFXa3YbZ15sUvO3Xp2HmjQwHI3J561rlOnFEEzKVYaWCI1ADk5WRgYGBIXHFFCpl7ir6DwF1GUEY+qYGeSSv+sV1uggZWcpGnjqaqeyIcGlqpmaA6Lifk5F+g0H+g0PjEWcb/xskTsntevvFj36NY/O/f3Y3HyKxY38qZbLKoPNGhguaEqH9rUScgifCbFSgNrbDV0XfkQ75/dh5OdNajMD2LD/JtQMHG6SD7ovHgF7x5pxaX+AUzMzcLtK+ehcOrEYfV6rwzgvaOtOBg6jxsqZ2H6lAnYeagFq4OzcNuKYuRNzBGeR8bwMlHLqpOUELRkARpYNLAkpTKsmGl9VIUR2aSmRT6pzU+/5gIaWCq93LuyOvWX8RxL32Avdp/bj8PnjmHlrGWY0leGnXs7cKPC/W86qrHu0d8/2oaWjouYNiUXswsm48aKolH36XbOMZ7zMjJe3WJRnQ9oYNnpARlYRychi/CaFCsNrORqsCbYbc1vY1vDThRNLkB7Xyc2l2zGw4vvGlVhpJG051QDzgwdR0N3I8rySzE/axnWlZTF61nlt+xrwo+3hOJ/u+umhejovoTQ6S48du8S3Lpszpgy7b8ygNDRNjSE2lEWLEJwxRzkjmF4mahl1UlKNB7IHqeBRQNLViuJ5UzroyqMyIYGlopeRvYrv+YCGlh2s+ZuPZ3Gk/Ecy7aWN/FiaOv1e+uyX8BLz03AwGAEn90cxObqBa4K4Z1DLehrvYje8xeRN2sqkD8RlwYjeOS20rTPO57zQgNrOAEaWGl3h8xoQKdOKSJqUqyZZmDJ7CoS5U90XCa/ezv2oa6rEUOI4GxPG+ZOm4NsZOOxJY/GtxsnPkVaNXs5bp5djekTp+FntS9jS/1b8cu4Z/Gd+GTFQ/jwSk/8qdP8ieVoPDYDx8O92LyxEFPmtaCuqwHlhWWY+GEZsvunjbkT6+j+M9i5NRxv//bNlVhRPT9p2DKxiniNp+N+vjZCA4sGlp2+YlofVWFENjSwVPRCA8surbHr6dQHTY3Fi/tqWeVZ1/KT8M8wEBmM31vnBLIRem8h6s/0YElJAZ54bA2GhiKyTSqVs14b3LYljBN7muL1lq5biNrL/fiPH1ue9uuEpmpMKQk+FLazNqCB5UOi3DilTp1SxMekWDPFwEp8pU7lNTpRLpMdF+XXmmD//tA/Yt70Ymyt2xlv4r7yO/FwyQPx/95+dgd+euLl+H8/uvQh3FuyCd/Z/beo6zoV/3t5QQmeuPm38fqp7cPK31p0J/Zsz8Omj13Etoa34+XvLrsDW5/PwyfuqBj1JMq6thee+QDNp7ri5ReUFOCRx25MOuGLYrXDL5Pr2JmknIqHBhYNLDtaMq2PqjAiGxpYKnqhgWWXFg0s58m526LM2OjlfbVstLm52Xgu/AK21O2IV7mnfCMGG5fg5fdPu74DyzKwfvrPB3D2dHf8/HMX5WPBunlYWzFbNowxy8nkJe2TeNSAbrGo7silgeWR0Nw+jU5CFrEyKdZMMbC27m/Gs1uvv1Ln5jZimfzu6diHd07vHmZEVc4sw++swNw0VwAAIABJREFU/nLUKLKMpCcPfh+hjoa4nIIzy/DV1V/GCw2v4LW66zuwLOPrkbIHR5WvKCjDisjDOBJ4YZThFajdgI8GhpI+ieIOrNQ326qTlGg8kD1OA4sGlqxWRi60i4qmob29BxF3HjrbuayMqCMzVmfEhfp0EeSTmXOBdVW6zAc6acy0WLy8r5YdAidPnoC/fP9vEO5sjFepLCzF3QW/hLPtfdLfgJU938hy1r37zrfqcfi96w+ZV91WAhRNxvplxXabjdczTWNpA/OoATsPt2lgeZQct0+jU6cUsTIp1kwwsKwJ5TvPHMDJhF1Fbm4jlsmv9Xrgmy078Gp4e1wu1g6rTXM3xv872Q6su+bfgdcOHUff1HrUdzdicX4pplxcjPtuWIY3zrw9aseWVf7FU/8+7DzWDqzXf5aHT24avQPLOjm/gZWZixZdFiyi8VH1uEx/U21Tp/Lkk7o/09wjHzv93c6Cxc55xqqjy3yg0/hkUixe31er9J1Xm1/Hy6E34lUeCt6FX1n9qGcPcfYeb0NX0wX0nu9F3qy86DewDjd24WufXZ32q4smaUwl536XtTMf0MDyO2sOnV+nTilCYlKsmWBgWdfg5ZMi2fxaJtaec/tx6NwxxL5xNSU7Ly6fZN/Aso5bsTz/di0qFxag5lRX3Igaq3z3QCfeObsbofZ6VBSWYdKHZQik+AZW7AJkvmsgG6uoT4yX43YmKadi02XB4hSPWDumaVCVH/nQoFHVDPuWmJifc4F1dbrMBzqNT6bF4uV9tbhHXi/R0t+M/a2HUdvZiIrCElQX34Ab5i/1zMCyXq3ctr8ZrR19mDIxB62dfbixssiRj8ebpjGVvPtZ1s58QAPLz4w5eG6dOqUIi0mxZoqB5eW7+qr5FRlFI4+LYhmrPevd/IGBoejriU59wFI1VlHfyPTjdiYpp2LSZcHiFA8usuVImtZH5ahcLUU2qWmRT2rz06/XyWlgqfRy78rq1F9kYhHdi3pHPvmZrNcJL136yJdx3mJzuK4D7x45ixsqihx7dVEmL35zlz2/brGozgc0sGSVkuHldBKyCLVJsWbaIsFJ82asPHuVXy9ioZaHE6CBJVKE98e96m/eR+bMGckntQnBVwjJx05P83MuoIFlJ2Pu19FprFWJJRPuRVNlVyUWp1XiNBs/Y3GajW6x0MBKUIhJT9x1ErKok5sUa6YZWKLcOHHcpPyaFGtMy6qTlBOa0mnB4hSPWDumaVCVH/nQoFHVDPuWmBgNLDEjmRI6jU+MRSbj3pdhXrxnLnNG3fKiujbgDiwZlYyDMjoJWYTbpFhpYInUML6Pm6hl1UnKqQyb9EBDhZlpGlRhY+L4q8KH2klNi3xSm59+zQU6PdDQSWOMRWX09a4s8+Ida5Uz6ZYX1fmABpaKWjK4rE5CFmE2KVYTF1Am5dekWGNaVp2kROOB7HEaWMlJmaZBWb3EypFPahOCrxCSj2qf8nsuoIFlJ2Pu19FprGUs7uvFzhmYFzvU3K9jZ0cuDSz38+LJGXTqlCJgJsVKA0ukhvF93EQt08DKLM2apkFV+uRDg0ZVMzQ/xcTsLFjErcqX0OWBhk7jE2OR16+XJZkXL2nLn0u3vKiuDVw3sILB4O9EIpEvBgIBa77YO3/+/N9sa2tbMjg4+L8BzABwtK+v7/Hm5uZLsbRVVlZa5TeGQqEvxv4WDAabAZxLSO3DoVDoTKpU6zJBychZJyGL4jUpVr8NrNgHFGO/wCfKjVXe+pfsV/qStWGVt/7P+nU/lZt+pz/sKIpL5bjKtZmoZdVJSoU95wN1WqZpUJUQ+dDAUtWMylxmt+3xXo8GljMZ1Gl8MiEWlfvDdBUic65U9/ZTpuSir6/fl18htGJPtZ6wy8YEjdll42c9O/OBqwZWMBi8CcBT/f39Nzc2Nl4OBoM/CgQCByORyOMAvhIKhd4JBoPfADAhFAr9YUVFxcRAIPDNQCDwpUAg8NOamppftYBWVFQsyMrKeikUCq1WAUwDS4XW+Cmr0wAkQ92PeGM/79t+sRtTFrSi/kIYFflBbJh/EwomTo9fdmyCtMofaWpB88BJNF2qww1zluGWOWsxJTsP3QOdeOfsboTa6xEsWowNc2/GhMHpCHecwan+Y6jraoj/PT+nMD5ZdnZexOBgZBiivsFe7D63H4fPHcOq2ctx8+zq6Dli/2QmbBnmI8vItNt/ZQCho21oCLWjLFiE4Io5yJ2Yk/J0fuTWTvxO1bEzSTl1bpPmAxVmpmlQhY1VlnxoYKlqhgaWmJifc4F1dbrMBzqNTzrHYt0j7zrWisbWHpQUT8Oty4uRJ7g/FPei5CVE98lWrc6LV/D2oRacbOzCktIC3HHDPBROnRht8Ez/aexvPYLajkZUzCxFdfFK3Dh/OdrbexAZfktu9xJT1rNYnazvwKVzfeg4cyF6P71kZbHwflrmYnTWmEz8mVrGznzgqoFVXl5ekZ2dPTcUCu20oAWDwd8NBALLI5HIHaFQqNz6W3l5+cLs7Oy3rP+uqqq6b2ho6E4ADVlZWTfHDKxgMPgJAH8OoAPAZADfDoVCz4sSocsEJYrTtJtsnQagTM3t1v3NeO7NMDbeewnvt78Vv8z7Su/Fw4vvQszgOhg6j9XBWZg2ZQJqP9qPD7p3Y+38VWjsasIt86tx59zb8XLTq3g1vD3exv2VmzC9cyU6ph/Ctoa3h/39oYX349JQL/a1H8SBs0eiJtUtxWsxOTAlWm772R346YmX43UeXfoQNs3dGL2ew3UdePfIWdxQUYTbVohvDsYypRL/nmhKLa4qwpJVc5Gdk5U0bUf3n8HOreH4sds3V2JF9fyUKTZRy9yBJdPrvStjmgZVyZLP2MTIJrWayCe1dvyaC2hgqY6C3pTXqb+MjOX9420INXXjzPlezJ+Vh+DCfNy6bI4rYK375BdDW1BZWIJwRwM+VnVf9D458d/z7zbgpZ0N8T89fHsZPrG+LPrfL55+Bdvq30HR5AK093Xi7vLb8WvVv+SZgbX3eBsi7ZfQGD4fvZ6ujj6sv6tCeD8tA1NnjcnEn6llMs7ASgRVXl4+Ozs7e3cgEPhBJBJ5KBQKxXpTdjAY7A2FQpNi5YPB4OOBQOCOBAPrM4FAoLqmpuaJJUuWLBoaGtqRlZV198mTJ0OpkkEDK1Olmt516TQAyZDwOl7LwPnOMwfQffEKCqsPoKG7MX6Z5fll+Nq6/4TX95zGG/ubcb7rEgaHInh0UwUKKs7ifG97/KlNyYwFWDlzGf5u31O4cKUnOhEORoZQXlCC9ZM/jfcuP4fazkZkZ2VHJ8oZk6bjd6u/jG1Nb+G5BJNq07y7UdC3DBtWzcP/PPa/EOq4PukGZ5bhN1Y9jm0N76OmuwbFOaVoDc/EDaXzsbl6QVK8I823mNmVbAeVtaPKMqUWlhZgRsEUdHX0YnHVrFG7qyxmLzzzAZpPdcXPuaCkAI88dmPS1yljhbzOrYze3CxjZ5Jy6npMmg9UmJmmQRU2VlnySW1C8CPu5KPap2L9igaWHXLD6+g0PukaSyAQwDPbwti653Q8eZvXLcJjd1emvD+0ow7rXnTrmTfQ09+L+s7TWFy4CNNy87B5/l3xc1mvDX7rR/vQ0HIBRfmTo/fxi+fPwJ88vha5uTn44eFnMYghnO1pw9xpc5CNLPzWrV/wxMCyrv/E0TZcaO/F2aZuzJ47HVPyctF78Qo2bE6fl64a82JnnB09ytaxszZwdQdW7MKXLFlSOjQ0ZG2beHpoaOjtrKys744wsHpCodDVLRZXd2oNM7BGAqisrPwfgUCgNhQK/b3IwOro8GbLo2yS3CpnJX/mzGkwIV6TYo3d6Hmd2y37mvFvb4Rxx32jd2BtXnwrXj75Dhr7auOG0cTAZJSsbcLrtdd3VN1bsRGl00rR2HMq+hTImgjb+zpgGVs3Trodh668g8buJhRNmRmdKCtnluGeRZvwvw79aJhJVZZfis79a/AL1QuQM7d+mLn16WUPI4IInjt+fVfWrUV3ou3EPHztc6uT3hxYsT279br3/dnNQdyzdgGO7Bu9g6ox3I4zTd1Ytmoejh68/sk9a3fVyrXDd1clqz+yzMj+b6KWi4qmezLvjGRtGVgmjI+qc4xpGiQfVQKpDRqv5ybnrt79lti3ROaeP3OBdVW6zAc6aUzXWCwD6y/+ZT9Cp7vjHSK4KB9/9MvVjhtY1glePP3veC2c8OZE5Z342KIHhnXGNz44g6bWi/EdYQuLp+KuG+cjNzcb/6/2Ffx7+M14+QcqfwFfWPMpT9aXlrm24/UwPtjTFD//itXzkTc1F9UbStIetHXVmA4GlurawPWFRGVl5Y2BQMBaXVqv/X3/2iuD20OhUIWlROv7VoFA4M1wOBwcy8CqrKz8ZHZ2dujkyZNHrhlcfxuJRI6Hw+H/KTKw0lY7GyABAwl0fXgZW/acQlt3J/IWtKLuQhiVBUFsrtiAPWf34idHX4xTsQyjW2ZvwItn/wV1XaeuT9CFZSifWTrs9UHL1CrOm4OZH1XhQO8bmJCTg6110TeMo/9+acXHYE32zx55YVj7b782Obrl+g/+ww3YXv8eDrQexZriFbirfAP+6t3/Gf2+VuyfZXjdPvVTeGj94qSZ+9rf7sCJhJ1SS0sK8L3f3oj/87fvDNtBNX9RPqxdVKHjbZg0eQLONl+It2f9/Vd/e8Ow9ns+vByddMPH21C5bA5uXLcQ06bHN5YaqKLkIQesBPvwz1qw+HBanpIESIAESCAJAb/mAutSOB9Qkl4SeHbLSfz49Zr4KT93bxU+e88SVy7hD7Z8Z9i9uPXWw1/e88Swcz3z2gn8JOFB7i9tDuKx+5ZGy/zh1u9G346I/asoLMW3N/++K9earNGn/mYnWhLMvrkLZmBGwWR8+gvWZ7X5T1cCqvOBqwuJioqKWVlZWYcBfCkUCv08Bj0YDB4C8FvWt7GCweDXI5FIQTgc/mrC8ZGvEFo9b3UoFPrM0qVL5w4ODr4/ODh4e11d3XWLNklGdXnCIiNWnVxlUbwmxWqx8DPekb9CaP33fz/w/WE7pCoKyvCf13wJL596ZdgOrEeXPYAPWo+PmAhLsKHkZpzcMx0lN7Zib8th1Hdd31ZtvRL45dVfxK7Wfdh35ghmZZdEXwk8Hu5FbKeUxSTxO1XbW3YM25VlfafrrgV3jPmBTNkdWJYB1dneixn5k6PfvUp8IpRsB1ZMtzIffI+V9TO3on7mxvGr27f9eepu0nygkjvTNKjCxu/xV/VavS5P7aQmTj5j8/FzLrCuSpf5QCeN6RyL9emKd4+0Ivbd2PUrxd9ptTOeWzuYflr7IrbU7YhXv6d8Ix6t+Fj8176te9S/fPoATiY8yF1SUoA/+PwaWPWfOfkzbG94L15/U9lt+NK6X/ZkB5Z10gO7TmPX9usPpa0dWBNys3Dn/VW4cmXADpZ4HZ01lhYYnyvbmQ9cNbCqqqr+PBKJ/BcA1vs61rkigUDglcHBwWezs7OfikQi1s+ZNQQCgc/V1NT0jGVgLVu2LHdgYOB/AVh3beL5ejgc/pmIt0nfPNHpvV5RXk2KNbaAyqTvjIz1IfUjF46h4UJj/BtYZfmL0NjRhtcatsRTurl8IyZH8pHdWYq1q6ZgZ8v7eC3htUPro+y/MG8jrHjPtF7AjkMtOFBz9UPxY32YPfEXV26YvRzrRvwy4Ug9yX4Dy9p1tfXF48jKDqBy6ezoE6CW01d/EUXmFwZFOs7E3Mpcczpl7Lznns75EuuaNB+oMDNtPFVhY2IfVeFD7YgNrEyau1Vy63ZZP+eCmIHl1a+quclSpz5oQiwqDzjt6mZ/1340fdgS/wbWwunzUF1QPaw564eaRn5KI/bd2B3ndqL5w9b4N7AWTC/GJ5c/4Mk3sKyL7Oy+jIZjbWhu7Ix/Ays7NwcrVs+1i2SYgaXLmKxbf1H9JqKrBlbaSkuzAZMWLDoJWZR2k2LNxAXUWD/R23XlQ+xpPYDc3AACA5Mx8UoxJuXmoCOnBkfOnUBp/gLMyJ6FKVfmY+XCedEdUlZbe87vx6G2Y9FfHLx5djXycvKiBlbs5lJ2wpctF9OX6FcIk33U3TK1hoacexPNRC2rTlKi8UD2uEnzgSyTTBxfVK7di7Km9VEVpmRDA0tFL4llaWDZJTe8nk59kLE4o4nugU7satuHyx9dQW52Lm6bexPycwqHNT7Wg1yr0PmP2rCn9SDO93agaEohbp63BsvmVnhmYEWvobMPZ09dwPmWC8ibMQnly2ZjVmH8U9m2QVFjttG5WtHOfEADy9WUeNe4Tp1SRM2kWDN5gTmWAWRtQY6ZPLH/b5WN/UtmACW2lWn5VTXGRPodeROvy9MgmbjtTFIy7cqUoYGVnFKm9TeZXHpZhnzGpk02NLDs9kU/5wLrmnWZD3Tqg4zFbm9KXs+6Fx8YGErZaKr7W+uD7v39g77+Eu+kSTm4fDm91wZ1vefWrb+oPtymgeXseOFbazoJWQTRpFgz2cAS5cnucZPya1KsMS2rTlJ2dTSyni4LFqd4xNoxTYOq/MiHBpaqZti3xMRoYIkZyZTQaXxiLDIZ974M8+I9c5kz6pYX1bUBDSwZlYyDMjoJWYTbpFhpYInUML6Pm6hl1UnKqQzTwEpO0jQNquqJfGhgqWqGBpaYGA0sMSOZEjqNT4xFJuPel2FevGcuc0bd8qK6NqCBJaOScVBGJyGLcJsUKw0skRrG93ETtaw6STmVYRpYNLDsaMm0PqrCiGxS0yKf1OanX3OBdVW6zAc6aYyxqIy+3pVlXrxjrXIm3fKiOh/QwFJRSwaX1UnIIswmxUoDS6SG8X3cRC2rTlJOZViXBYtTPGLtmKZBVX7kk9qEMOkbftSOKgEaWM4R0/8BhE5jLWNxW/n22mde7HFzu5adHbk0sNzOikft69QpRchMijVTDCyVD5nLfDgyVY5Nyq9Jsca0TANLNMJ5e9w0DarSJR8aWKqaoTksJmZnwSJuVb6ELg80dBqfGIu8fr0oGbvv9zMv6a4nRnLyMxanc6ZbLKprAxpYTivKp/Z0ErIIoUmxOmVgyRpQI8v1DfZiz7n9OHTuGFbNXo6bZ1djSnZeNEVWWev/Yr9y0nnxCt4+1IKTjV1YUlqAO26Yh8KpE0XpHHVclN+xYpGNUfmCXKwgitXFU/vStJ+LFl0WLE4nzjQNqvIjHxpYqpqhgSUm5udcYF2dLvOBTuMTYxH3G6dLJDOIrPv+3ef24/C1+/5b5lRj0ZxitLf3IBJx+gqSt2etJ9490opj9R2oSmM9QQPLm3ylexY78wENrHSpZ0h9nQZ+EVIdY01lviSL1ypv/RsaSj2b9F4ZwHtHW3EwdB6rg7Nw24pi5E3MGYXYKrfrWCsaW3tQUjwNty4vRlZuP95ofhuvhrfHy39y6QO4uXADQm3n0PzRCXT0n0PRpDlYP28t9h/vwc/eDKNg+iSc77qEB9aX4hPry+J1ZZ+kxOLt7LyIwcHr8SW7RisW2Rgz0eDSUcup+q+dSUo0Hsge12XBIhuvbDnTNCjLhSaEmBS1k5oR+aQ2P1WfuIsVKV9Cl/lAJ42ZEIvsfbC8ku2VjD1wrmnsGmUQbWt5Ey+GtqJocgHa+zrx8aX34jMrP+aZgWVd245DZ/Hizvp4cI9sXIxHbiu1F2xCLRM0ljYkHxqwszaggeVDotw4pU6dUsRHp1hlzJfEeC9eHsCRphY0D5xE06U63DBnGW6Zsza+K2oku637m/Hs1lD8z5/dHMTm6gWjEO+qPY36y8fQ2t+IkqmLMTe/AL0DPTjcdgL1Xafj5SsKS3H7lE+ib1o9mnubcbanDSvmLMHA4AAuXulDbvZENHSdwuycUqBrEb5w1yqc674U35m1rKwQv7BmPqZNmhBvc9Sur/4B7DpxDvuOtw0z3d4/3oa6lgvouzyAyRNzUDF/Bm5dNgev72vGz7aHUZQ/GV0fXsbn71+K9cvmxNu/MjCEnYdbcKAmtYkn0t1Yx9MxxnTSsgw/O5OUTLsyZXRZsMjEqlLGNA2qsLHKkk9qE4LfwCIf1T4V61c0sOyQG15Hp/FJ51icekMhfcVcbeGF9xrxwo7RBpF1P/uT8M8wEBmM3t+X5i9AwaQZOHK+BjfMWoZ1CW9hOHUtI9vZGzqHtw6cQVfPlejD8MGhCIKL8vHHv7I2/saH3XO7obF01gB249Dt3sTO2oAGVjrqyaC6bnTKDApv2KXoFKuMwZQY77b9zTibcxjvt78VZ/Lo0oewae7GUemyBtXvPHMAJ091xY8tKSnAE4+tGbZzyyr3Qt0WbD31ZsITl/twuPUEZk8twrun98br312+AWVTy1H3YS3ebHgX2VnZuGXBGuxqPhD9/4ll7ym5B4+U343n323ASzsbsLS0ELMLJuNsRy+qq2Zj7Yrp+KDzg+vblIvXYnJgCpIxufemhdh2oBlNbRdx5nwv5s/Kw8I5U3HP2oX4v6/VYHBwCC3tvahcmI/LVwYxp3AyqqtmRXee1Z/9EJMm5KC1sw8nGjsxlomnqncZ81HUpk5aFsXq96KFBlbyDJmmQRmdJpYhHxo0qpqJlad2UmuHBpZdZV2vp5PGdI7l+Xca8NI7DfHEPbyhDJ/YcP0NhfSVIN+CtQvsz3+0D6Gm7nil4MJ8/PHja6OfBXku/AK21O2IH1u/6KboPf7g0CDGWm/Inz11Seva9obPob65BzWnuqL3+ue6LmHx/Bn4zKbyjDKwnFgDpMNNt/6iOh/QwEpHPRlUVychi7DqEquswRSL13ql7h9fOo6u4u1o6G68PvHMLMNXV3856euEMgbZyCcuc6fNQW5WDiZPmIy6rkYUTZkZfRJTXliC6ROnITizDM8dewW1nY2Yk1eEvNwp6O3vi/7/xN1alYVl+Nq638I3frgXDS0XsH7VPLx98Ez0unOyA3j4k0N4rfH1eByb5t2NBZEbsOODllGm2x/+cjX+eUsI2/Zc3w1297pF+JV7gvjJm7X49/eu87hj9Xy8e7gFD29YjO6LV6KmlzUJFuVPij5xqliQP8rEE2ku2XEZtqJ2ddGyKM7EBZ3qJCXbtqgcDSwaWCKNJDtuWh9VYUQ2qWmRDw0slf5kp6xOGtM1luzsLHzrR/sQTjCMrIetf/J4+juK7GjGuud/elt41P305++uxNSpE/DNHf8D4c7r99SLCxZF7/Hbetuj9/9jrTfsXMvIOpaB9bMd9cN2h91/ayn6B4bwaw8uweXLA2mdxkmNObEGSCcYJ2NJ5zqcqMsdWCMomrRg0UnIos6gU6wyA2BivNZupotTT0jtwLI4yjwhiE4YdS8Oe+JyT/lG5GZNwBAiqOtswJJZFdZn2zExOxc9Vy7iw/6L0d1W2YEs3LKwGrua9kf/f+IOrNiTGuua9x5vw9TJuahtvvrEp3jmFBRVH0Rd9/UnUmX5pbhwsBprlsyO7tiK/bN2TD14awm++cO9o54Y/dmvrcOf/Z89CJ2+/iTJMqguXurH9LxcfNjbj9aOvmhTluF1oqEDG2+cn/Q1SpHuEo/Lmo+iNnXSsihW67idSUqmXZkyJs0HMjxiZUzToAqbmGb5mlxyatQODSzV/pQ47vj1MMO6Bl3mA536oK6xBAIB/NtbdcMetD5wWyk+fWe58Du2dvuXqN5bh1tw6mxP/I2GkrnTcOeqeZg0KQfP176Cl0NvxJuI7sBq2o/ByJDrO7AmT56Arz+1e5jZZ93T37RsDh68ZRH6+wdFoaU87pTGnFoDpBOMU7Gkcw1O1bWzNuAOLKfo+9yOTkIWodQpVhmDKXEH1r9sCSG/AOidUo+mvnosnl6Je8tvi756l+pfqne0rWP//cA/DHviUllYipmTi7B23iqc6zuHU91nUDB5BkryF2Bb3U7kZGfHd2atLl4ePXXHpa7ori1rZ9YNCb9YGP0g4+EW9F0ejD/xyc4K4MFfHMTW01vil31r0Z14+7XJ2FS9AMVFeaO+gfXzdxuHfdTxY7cvxsfXl2LL/mb8JOE7X9YOrHcOtWDT2oXYvq8p+v689c/aIn3nmvlYuXhm0g/Zi3Q38riM+ShqUycti2KNmQF+LVp0WbDIcFYpY5oGVdjQwKJBo6qXxPLsW2PTs7NgSScXI+vqMh/opDFdY7EMrJ1HWqOfuaht6kbFwnzMK8rD7SuLfTGwojuwtoai98bWN2WnTMxBdnYAn98chPVAe8fZ93C+tx21nacQnLkY0yfm4UDrMU++gWUZaE9vCQ0z+x5cX4alpQVYVVaYUa8QOrEGSGdM062/qK4NaGClo54MqquTkEVYdYxV9lcIt+xrxnNvhjGn8KphZZk1d68Z/VF2EcORx7ed3Y7nT7wa//N9izdjzuVVmDQxBz969Tg+dXc5mgeOovWjU1hUMA+v174d/f6V9Ssla+auxEOL7o++O2/9KuJYsRw73YV9J8/hzLmr37BatXQauifU4oPWY5iVXYLW8EwcD/dGv1H1ufuWYuSvELZ1X8K7R1uj78VXlRRg/YpizMmfHN1ltmVfU/Tv5fPzcbl/EENDQ9FvZD39Wk08ps/cHcS9a9NnFWtQxnwU5UFHLaeK2c9Fiy4LFpGmVI+bpkHyUSWQ2oTg7jTysaMoP+cC63p1mQ90Gr91jsX6ESLre6wTsrPw0UeD0W86WT9C5Nc/y3yx1hLWjx9ZH0r/9F2V8TcTXml6Ddsb3kf1vOXYf+Yw7iq/Hb+y+lHPfoVw18lz0U9/WG9sLCktxLyiKZgyKRsrS2amjctJjTmxBkgnICdjSec6nKhrZz6ggeUE+QxoQychi3CaFKvFIjFe61cI3zvaGv04+ergLNy2otiR3UR9g73YfW7/qA+qJw7Q1kfRN6yahwuDHdjduhfhzgZUFJbhluKbMHviLFHaokbTrmOtaGztQUnxNNy6/Oq1j/yVwPUri1Eyv2DMyTI3N3vUNmKr7dqsTLg5AAAgAElEQVQzF6KvGFrfvSopno61VbOwv+a846xGBprOL5CYqGXVpyxCYUkW0GXBIhmudDHTNCgN5lpB8qFBo6qZWHlqJ7V2/JoLaGDZVbS79XTqLyNjGev+112iY7eeynw5/1Ebdp3dj3BHAypnluGWedVYNrfCMwOrpbMPe0+cx5WBAUzMyULlonwUF0xB4dSJaeNyQ2PprAHSCciNWNK5nnTq0sAaQc+kBYtOQhZ1ApNiHWlgRa6+DTfmLicRO9HxsQbiZH9PZiSJ2k917bFzpJNfqw3rn7UTLPbPr8lFhkU6scq0n2ll7ExSTsVg0nygwsw0DaqwGWv8VW1D1/LUTurMks/YfPycC6yr0mU+0EljJsSSafejqa4ndo/vV16s1wkHBobSfm0wcRTyKxY37gF0i0X1gQZ3YLmhKh/a1EnIInwmxWriAsqk/JoUa0zLqpOUaDyQPa7LgkU2XtlypmlQlkusHPmkNiH4CiH5qPYpv+cCGlh2MuZ+HZ3GWsbivl7snIF5sUPN/Tp2HmjQwHI/L56cQadOKQJmUqw0sERqGN/HTdQyDazM0qxpGlSlTz40aFQ1Q/NTTMzOgkXcqnwJXR5o6DQ+MRZ5/XpZknnxkrb8uXTLi+ragAaWvFYyuqROQhaBNilWGlgiNYzv4yZqWXWScirDuixYnOLBRbYcSdP6qByVq6XIJjUt8kltfvo1F1hXpct8oJPGGIvK6OtdWebFO9YqZ9ItL6rzAQ0sFbVkcFmdhCzCbFKsJi4STMqvSbHGtKw6SYnGA9njuixYZOOVLWeaBmW50OATk6J2aGCJVZK8BHdg2SU3vJ5OfZCxOKMJp1thXpwm6kx7uuVFdW1AA8sZHfneik5CFsH0I1Y/P7zoRbx+xjcy317EK9KYV8dNipUGlleqUjuPaRpUo8NdRql4UTs0sFT7U6IxrLpgsXuuZPV0eaChUx80IZZMutcW9ScnflhJdA6vj5ugMa+ZOnE+Ow80aGA5QT4D2tCpU4pwehlrqp+aFV3nyOOpJq5kx+xMHrE6yX6NL9n1XPzoInaf24/D545h1ezluHl2NaZk5yUNzauJ18v8qubQ6fImxUoDy2n1ONOeaRpUpUY+YxMjGxpYqv2JBpZdYsnr6dQHdY7FWkvsOtaKxtYelBRPw63Li5E3MceWGNy+F+8b7MXBzsOYMWkqui9eRPWcVVg0pxjt7T2I/RK6rQvPgEo6aywD8Nq+BBpYI9Dp8oRFRhE6dUpRvF7GunV/M57dGopf0mc3B7G5eoGSwZPKBEs8Vl01CxtWzcPA4BDeO9qKg6HzWB2chfUri1EyvyDl5GFNOJYR1X6pHXm5eWjv7cDUiXlYMG0eVuQvi5tS1sSXaFqVF5aivusUatrrozE9uvQhbJq7cVh8sbZlTC5R7lIdt2PYpXO+TKjrpZYzJV6/nrqbNB+o5No0DaqwiZmu/KU9/RfPqrqQKc++ldr89GsusK5Kl/lAJ43pHMu7x9pQ33IBfZcHMGViDhbPn4H1y+fIDCPxMqoP1O0aXbWXwgh11KN/oB85WTlYMqsCty5a47mBZff6U0HVWWNKYsqwwjSwaGB5PsD40Qe8GoCswfM7zxzAyVNd8TCXlBTgicfWYGgoIj2ppDLBYseWVeahuLID5wdPoWJGEDUHp+J4uDd6Dss0+9x9S1PmdvvZHXi+5lU8GLwLHX1dONvThrnT5mDmlAJMypqIm2atiRpcx86fQGnBIrwa3h6//vWLbsKu5gMYHBpEcGYZfrf6P2FgYCh+3Gr7pydejv93MpMrHR2MnJRlDLt0zpdJdb3ScqbEbGeScuradVmwOMUj1o5pGlTlRz6pTQiae+Sj2qdixjANLDvkhtfRaXzSNZZAIIB/39OEto5enDnfi/mz8jBnZh4eWLdw2FpCpAbZB+rpPHS21j272/fiTM9Z1HeexuLCRZg/bS4eqNrk2fpS1agTcUs8rqvGdNgZpzof8BVCFeVncFmdOqUIs5exykwYqcqkMsGsOC2DrLa5GxvvvYT329+Kh35r0Z3Y8fpkDAxGYJlmf/XbG8ecPKxzPHnw+7h4pQ9VsxZje8P78XY2ld2KKwP9qCwsx48O/Rvm5BUhL3cK6rtOx8ssLliE3v4+tPW24/7KTWjoOo0Vs5ZGXyecOmFqtO1QR0O8vGVyfXX1l5Um3lQ5TcZPZNiJNDJejnup5UxgQgMrE7Kg7wLIDbqm9VEVhmSTmhb5pDb3VBcsKtoUldXlgYZOGtM1luzsLPzzlhC27bl+3333ukX4lXuCwx4Wp9Ks7AN1q410HjpPnjwBPzn5PLbU7Yhfzj3lG/Hraz/rmYEls+4S9e+xjuuqMRpYdhWRofV0maBk8OrUKUXxehmr6EmAzKQi2oG1/UAzCqsPoKG7MR56WX4pOvevQWtHn/QOrHeb9iAvdzJqO0/F26koLMHtC2/B+2f24WR7HbIDWbhlYTXePb03XiZmWpUVLEr6OmE6k6Eol2PxS2XYidocT8e91HImcKGBlQlZoIGlkgXT+ijZqBCggWWXlp9zgXXNuqwPdBqfdI3F2oH17af3I3S6O95dgovy8Yefr1Z6ECxj7MQeaNt96JyTk4Xv7f071HVdX0eUF5TgL+95whMDS2ZNZXfMserpqjEaWOmoIgPr6jJByaDVqVOK4vUj1lTvYosmFdE3sN4/1oruKcexvWVbPPT7Su9Fzd6ZuKGiSPobWHvOHcCF/gvDnpxYrxTeOXdD9PXB2GuAVUWLsbigBHWdjfEPt0+fOA1PHvhB1OSK/YvttFL50Lsod8mOcwfWNE9uDOzkxuk6fi5aTJoPVPLmx3iqcn1+lyWfsTNANjSw7PZPP+cCGlh2s+ZuPZ3Gk5GxvLa3Cf/2RjgO8NN3VeK+mxYqARU9UI81ls5DZ2ut88KpV/Ba+PobIfdV3olfXfMZz+5TRWsqJWgjCuussXS4+F3XznzAVwj9zppD59epU4qQZFqsspNKKhPsUqQPu1r3Dfs1QOv1PetbWyrxJrZzw+zlWHftVwWTvRMfa1920nPjg4rWufkNLBpYoj7vxHEaWMkpqowvTuRhvLVBPjSw7GqW2kmtHb5CaFdZ1+vppDGdY5FdJ8goQnQvns43sKzzH75wCPXdTajvPIXFhSVYnL8Qd1Vs8MzAcpLVSJ46a0xGO5lahgbWiMyYtGDRqVOKOlimxiqaVERxWceTtWEn3rGuJdU1pjvpycSXqgx/hTBdgplf384k5VRUJs0HKszsjC8q7Y/3suRDA8uuhqkdGlh2tSNbTyeNmRCLE+sEWW3YPZe1FtjXfhDdV7oxY0I+1s1ZjUVzij0zsGLx2b3+VHxM0JisPjKpnJ21AXdgZVIG07gWnTqlCINJsVosvI7XjUlDlNPE417Hq3JtTpc1KdaYlv166k4DK7l6TdOgah8mHxpYqpqJlad2aGDZ1Y5sPZ00xlhks+5NOR0fKlNj3mhH9Sw0sEYQM2nBolOnFAnfpFj9MLBE/N0+blJ+TYqVBpbbPcde+6ZpUJUS+dDAUtUMDSwxMTsLFnGr8iV0WR/oND4xFnn9elmSefGStvy5dMuL6sNt7sCS10pGl9RJyCLQJsVKA0ukhvF93EQtq05STmVYlwWLUzy4yJYjaVoflaNytRTZpKZFPqnNT7/mAuuqdJkPdNIYY1EZfb0ry7x4x1rlTLrlRXU+oIGlopYMLquTkEWYTYrVxEWCSfk1KdaYllUnKdF4IHtclwWLbLyy5UzToCwXGnxiUtQODSyxSpKX4A4su+SG19OpDzIWZzThdCvMi9NEnWlPt7yorg1oYDmjI99b0UnIIpgmxUoDS6SG8X3cRC2rTlJOZZgG1tgLyaIic34JU1VPpvVRFT5kQwNLRS+JZWlg2SVHA8sZcu62otPYyFjc1Yrd1nXLi+ragAaWXeVkWD2dhCxCa1KsNLBEahjfx03Usuok5VSGaWDRwLKjJdP6qAojsqGBpaIXGlh2aY1dT6c+yFic14cTLTIvTlB0vg3d8qK6NqCB5bymfGlRJyGLAMrE6tQv6VntWP+GhiJjXla650qsP/J/WyeNRCKQ2SEhc60itplwXCa/mXCdTlyDSbHGzFjVScoJztf6UaS9vQeRsbuyU6caV+2YpkHV5JCPGYtnVV3IlKd2UmvHr7lAp/lAJ40xFplRRb5Mbm42+vsH5SuMKJmXl4ve3n6tvnVIjdmWg6sV7ezIpYHlakq8a1ynTimilirWvsFe7D63H4fPHcOq2ctx8+xqTMnOEzU56rjVztHu4zj94Rk0XWjBDXOW4ZbZNw1rK91zXQn04b2WfdFrvXXBWlzs78WRcyewcvZS5OVOwXtN+7BwxjyUTJ+PW0uqMdibFV18jzTMrOs41n0CzRdb0NjVnPRaRwaYrummDFShArWsAGucFbUzSTkVIndgJSdpUn+zoyXyoYFlRzcxw17m4ZPd9sdzPT/nAhpYmakcncZaN2MR3b+f/6gNu87uQ7ijEZUzS3HL3LWYNWGOdNKb+0/hQOtR1HY0omJmKdYUr8Dq+Ssg8wBQdG3SF+FSQTfz4tIlj9msbrGoPtCggeW14lw6n05CFiEaGWvigLn97A789MTL8SYeXfoQNs3dKGpy1PG3W3fizMVWvHt675ht2T1X15UPo8bVJXyIHad2Y3ZeESoKS7Dz1J74udYvugkNnafR1nsetyysxqIZ81A980bsahttztX11eJoew221L4drZ+dlY1fXvkobp1zEwYGhobF1ntlAO8dbcXB0HmsDs7CbSuKkTcxR5mPmxVM1rKbXDOhbT8XLTSwaGDZ6QMmjUeqfMgmNTHySW1+qi5YVPWZqrwu84FOGmMsqRVu3b/vOtaKxtYelBRPw63Lk9+/v3T6Fbx2bT1gtXhfxR14eNGD0t3nxdOvYHvD+6gsLEG4owGbFq/Hr1X/UkoDazysLSwA1Ji0DDwtaGdtQAPL0xS5dzKdOqWIUizW022twwyd9XPX4QeHfohQR0O8ieDMMnx19ZeHvQIoekJgHf/RyR/jXG8H6rtOx9uqnFmG37nWllXmyYPfH3auioIyfHnlb2JybnbKVw5fqn8DB8/vR9XMcgxiCGd72lCSPx8tPW2oaa+Pns8ytPInzcDEnInIQgAfRQawpLAC//fQv8Wv5zerH0PThy3ROoui9Vujx6qKKtBz5WJ051hVUTluK74J+TmF0WNb9zfj2a2heBuf3RzE5uoFIuSeHjdRyzJPtjxNgksnszNJOXUpuixYnOIRa8ek/maHHfmkNiG4w4h87PYrGlh2yA2vo9P4ZEIsovVHKkW8e6wVtc0XcOZ8L+bPykPFghlYv7x4WBXrtcHv7vk71HY2xv9eUViK31/3FanXCa3XBn8efhW9H/WhvvM0FhcuQt6EKfjcDR9PaWCNh7UFDaz0xxu3WrCzNqCB5VY2PG5Xp4FfhC4W63OHX8FzCbutPrX0YUQQGXMHlsoTgrfO7kRL7/AdWPeW3IOPld8dv7yRO7BuLboTUy8uRV3TBayqKEq6uyknJwvf2/MPaLl4FhtL1+H12h3x9qxdV7uaD2BwaBDR/920H4ORIWwuvx2zpszEgbNHcLK9Llo+NzsXd5begi11w+vnZOVgYGhg2M6xByp/AQ8uvC/66uF3njmAk6e64udcUlKAJx5bk9JwE+XD6eMmapkGltMqGt0eDazkjE3qb3ZURj40aOzoRrfFkl0GY9Wzs2Bx8hp0mQ90Gp90jkVl/ZFM59b9+9Pbwti25/pD9bvXLcLn764c9YD+540v4/WEHVj3VtyBj5c+JHWfb61R/l/9S6Pqp9qBNV7WFrqNybr1F9UHGjSwnJwRfWxLJyGLMMZi/eNt3xu12+o3Vj2OXa1Xvys18htYKk8IrO9TvXP6ILoGzuN0dwsWTVmMy60L8IW7VsVfy7sU6cMrNe+gsa8WxTmlaA3PRP+lCbh4qR+tHX0Ya3eTtQOrqbceVwb7Udt5athTkqIpBZg8YXJ0N9X13Vil+P3bv4wtoR1xw275rEpcHuhHXdfw+mX5C6N/S9w5Vl5Qgq/d9JXodaswEOXBreMmapkGlltqut6uLgsWp0mZ1N/ssCMfGlh2dKPbYskuAxpYTpMb3p5O45POsaR7723trPrmD/ci1NQdF0BwYT6+/sWbhu2ssgyoZ04+F3+7Y+60OchGFh5b8qlRnxRJpsxp03LxjR1PDltbWGuIv7znCe7AcrcrK7euW3+hgZUgAZMWLDoJWdSLx9qBlfi9q5HbdO08IXjhvUbsO9EWvRzLkHpgfSk+sb5s2OW9caAZb+xvxvmuSxgciuCO1fPxzqGW6P8ea3dT9BtYZ/djINA7bAeVtVPq4ZL78dKpV/Hv4Tfj57H+/oU1n0LiK5M3zl6JnoEevBreHi93b8VGZCMHF/p7ku7Asgqm+xRIlBsnjpuoZRpYTigndRsmzQcqNE3qbypcYmXJhwaWHd3QwEpNjTuw7KqKBpYz5NxtJXHeCATSf/vBWsP8bEc9Xnrn+idSHt5Qhk9uXDxqZ9XLTa9G1xZFkwvQ3teJeyruwEML75cO2PoG1sgdXPwGljQ+zwrqdG9iZz7gDizPpObuiXQSsohULNaR38AS/eKg6hOQzotX8PahFpxs7MKS0gLcccM8FE6dOOzyEg2hykX5qG26gBONndEyou9LXRjqws4zuxBqr0ewaDE2zL05+q2q7oFOvHN29/W/z7sZlcUl8acfMXMusZz1fa7CyTOQmzUx+uSl+cOWpN/Ail18Ou/hi/KT7nETtUwDK13ViOvTwErOyKT+JlbJ6BLkQwPLjm5oYNHAsqsblXo6jU86x6K6/kimgf217ahv+RC1Td2oWJiPxfOmo7qiaFTRUWuIa2sLWV019TfiYOux+K8Qri5ejjXzV/JXCGUBelROt/7CHVgJwjFpwaKTkEV9f2SssmaM3d1H1pbckb/mN/IarWvoufSRrV/4G6v92N9FuY2VS+Rg/W/r/0TXLWLtx3FRvH5ck1vnNCnW2IJOdZJyir1J84EKM9M0qMKGJoTYhOBH3GnwqfYpv+cC6/y6zAc6jd86x2J3/ZHYt6w29hxvRefFfuRPzcUty1L/irjM2iVV37VeJ+zp6ecv99kZ4Dyoo1t/UV0bcAeWByLz4hQ6CVnEK91YZQ0v0XWMddzp9tON124cftUzKV6TYvV70aLLgsXpfmmaBlX5kQ8NGlXNxMpTO6m1o7pgsZuHZPV0mQ900pgJsTixPnCiDZW+ZEJeVHhkSlnd8qI6H9DAyhQlpnkdOglZhMKkWE3cAWBSfk2KlQaWaGTz57hpGlSlTD40sFQ1QwNLTMzqV6oLFnGr8iVoYMmz8qqkTmMtY/FKNWrnYV7UeHlV2s58QAPLq+y4fB6dOqUIlUmx0sASqWF8HzdRy34tWnRZsDiteNM0qMqPfGhgqWqGBpaYmJ0Fi7hV+RK6zAc6jU+MRV6/XpZkXrykLX8u3fKiujaggSWvlYwuqZOQRaBNipUGlkgN4/u4iVpWnaScyrAuCxaneHCRLUfStD4qR+VqKbJJTYt8Upuffs0F1lXpMh/opDHGojL6eleWefGOtcqZdMuL6nxAA0tFLRlcVichizCbFKuJiwST8mtSrDEtq05SovFA9rguCxbZeGXLmaZBWS40+MSkqB0aWGKVJC/BHVh2yQ2vp1MfZCzOaMLpVpgXp4k6055ueVFdG9DAckZHvreik5BFMEfGmu4vbYjOZ30w0fo3NBQZVnSsDyk6/YFFk3JrmmFnYm5VJylR/5Q9TgNr7IUkf0lubBWZ1kdl+5MuY/XAwABqa8MqYUuXraysRHFxgdTPz0s3qklBGljOJFKn8cmEWJxYH8i2ke7aSPaX0J1RsjetmKAxb0g6exY78wENLGdz4FtrOnXKVBCtgTsSicBacIUa2/HWBy042diFJaUFuOOGeSicOtGxHPQN9uJo93Gc/vAMmi604IY5y3DL7Jui7e8+tx+Hzx3DqtnLcfPsakzJzoNVPtnf070gU3Ib42RSvCbFGlvw0sBKd0Rwtr5pGlSlRz56m3snT57AD/76BRTmz1OVRsrynd0t+PLvPYING9bRwEpCys6CxckE6fJAQ6fxSedYeq8M4L2jrTgYOo/VwVm4bUUx8ibmKEnaamPXsVY0tvagpHgabl2evI3ugU68c3Y3Qu31CBYtxoa5NyM/p1D6XKPqz7sZlcUlWoxjOmtMOsEZWNDOfEADKwMTaeeSdOqUyeIfOfjff1sZnnszhJd2NsSLP3x7GT6xvswOvqR13m7diTMXW/Hu6b3x448ufQhZgQD+7fhLw/62ae5GbD+7Az898fKov6d7QSNzK/v0Jd3z+lVfdy0ncjUpVhpYfvWo1Oc1TYOqWSAf/Q2sf31qL2YXLVKVRsry59pP45f+w000sMagZGfB4mSCaGA5SdOZtnQaa0fGsnV/M57dGoqD+uzmIDZXL1AC9/7xNoSaunHmfC/mz8pDcGE+bl02Z1QbLze9ilfD2+N/v79yEx5aeL/0uUbWf6ByE76w5tM0sKQJelNQt/6i+nCbBpY3OnP9LDoJORmskYP/b/7iSry5twnhpu548cqF+fiTx9diYGAobd6WSfSjkz/Gud4O1HedjrcXnFmGwsn52NV8cNjffrf6P+G/7f8HhDquG2pW2a+u/vKoVw+TXVwqUyqW29NtrdjVNnrnV9rBZlgDumuZBtZ0X+YdXRYsTndXk/qbHXbkQwPLjm5oYImNc9UFi508jFVHl/lAp/FJ11gCgQC+88wBnDzVFZfjkpICPPHYGqn1gVXJWiM8sy2MrXuur0c2r1uEx+6uHNaG9drf9/b+Heq6TsXPVV5Qgq/d9BWptVGsfuOFZhRNLkB7XydK8xfiL+95ggaWkwOQA23p1l9U5wNfFhIO5E2qCV0mKJlgdRLyyHitgXvk4L+srBCWYfXCjvp4cad3YG0/+zbO9p4btQMrgACeO+HMDiyZ1w5juX3u8Ct4zoUdXjL68rKMzloeydGkWK3Y/XzqbtJ8oNJfTdOgCpuYZvmNsOTUdNCO9Qohd2Cp9or0y/s5F1hXr8t8oEMfjKlJ51jS3YFlrYO+/fR+hE5ff2gfXJSPP/x89SgTLN0dWDvadqK5pxVne9owd9ocLJhWjE+ueIAGVvrDnqMt6NZfaGAlyEOXCUpG8ToJOVm8z7/bMOx1wY/dvhh33DjX1W9g7enYi64rF9BzpSf6DayqogrcOXdD9PKc+gaWzGuHsdz+8bbv2d7hJaOhTCmju5YTOZsUKw2sTOlhw6/DNA2qZoF8xiamAxsaWKo9wpnyNLCc46iLwa7DeDKWGefEN7Cef6cBL72T8NmUDWX4xIbRn005fOEQ6rtPo77zNBYXLsLi/EVYNeMGKcFZRtmLp17Bq+G34uXvr7wTX1zzGRpYUgS9K6Rbf6GBRQMLkeE/luddb3LpTNaA+vTWED4aGIq/+52bk4XP3xPE4GAE6f7SRrLLts755MHvo67rNOZMKUIEEcyYNA3/+cb/GH/ake6vEMbO8f/Zuw7wKoot/O+9KZAQICRA6CXJ3tCF0ASkoyBgQwQUCxYEBQQBERUVC4rwQAXxiaIoiCjyRARBepMiTRCEuwESegsJEEIg5N5932y4lyQk2ZK5JbOz3+cnyZ49M+c/Z2Yy/545q3bskGdgeSiw/EAtSwuQFjh9uWkx0wsNLb5g8a23Hru1ypptjGrFxUVIF/fNMyew9Hicnqwv1wJiBSvrAUvzkxlsMVrDNr99UCDZB3URc2VgufYVSRdPIrZcDSRcSETN8Gq6ypn8Z9dnOJSS5B7sMeVqYkKXMZzAojf9UdHE2njhBBYnsJgjsIhLSfrtgjUJiCxbEudTM9DvHhs63VHZo7ZqyY4q6iykpQ3XJMVrYBUVbf97nqUFSAu6vty0sLJh0YKzHhmzxaAebFghafTarFWehdjhBJZWb9OV8+VawAksur6kpY2F+cSTL4by7oMe6RSbbyF4LfuKwny25vQ6LDzwu1ukV5170adhT05g0Qp0SnpYGy+cwOIElkdJHUrjTrea/L5C6Mi84VFbtdSn0m1Inge0tJF3kjL6BqeoffXW8yxNymqYmclWFxmgd5FSw1DrfU5g5Y+U2WJQa7x4ciOitw/+Ks9C7HACyzfRxQksOrizMAZZnGs94RetxxC17CsKi768z7esGI/qFaM4gUVnyFLT4okYo9Y5nYqMrAe8iLtOkP1VnKVALgxjQt7IsgxvHlvwBmGk5SuEyclpHiXs/CW2zRLLLkLHm7Hsax8bWaRo9ZkTWJzAMhJLZpqP9OLDAjacwNLrdTryvlwLiAWsrAcsjEFOYOkbU1r3JFrlCmrd9TyPMX3+8ZY0a37R+3K7QAJLFMUEMsEX5IiEhATRW04y2g4rC5QW+1kKZDV7zWSrWUkOs5A6ZoxlvYuU2nyg9b6Z1gOtmJhxftGDDcencLRYmL/27/8HM6cuRbmylfWGRqHyKRdP4fmXu6Ndu1ZMZC5QBcfHX6TlBBZtb9LRx8J8wsk4OrHgKS08xjyFbNH0GnmhUSCBFRMT066w7hw6dGh90brr+afNtGFhaVCqRYaZbDXjBspM/jWTra5Y5gSW2gzn3ftmi0G96HJ8CkaMBWz27fsHgz8ZgpJlQ/SGRqHyGRev4r/Dp6N9e05g5QeUkQ0LTQexsj9gYQxy0odmZNPXxWOMPqY0NLLmF717gwIJLJvNVujrKLvdfoqGAzypg5UFSgtGLAWymr1mspUTWGrRULzvmzGW9S5StDxspvVAD2Zmi0E92Jhx/tWDDwuxQ44QvrftPyhTrZwe01VlLx1PwbiWI9GmTXOegZUPWpzAUg0hTQIsjEFOYGlytc+EeIz5DPpCG2bNL3r3BoUdIXSSY+Ik0zcfBGVJkqz+6dJbvTLThi7GWAEAACAASURBVIWlQFaLKzPZasYNlJn8ayZbXbGsd5FSmw+03jfTeqAVEzPOL3qw4fgUjhYL8xcnsPSOCDrynMCihyMrJRdYmE84GUcnrj2lhceYp5Atml4j64HHi7iLoviyLMsDBEEg+4ftVapUef7s2bNxDofjSwBlAOy7evXqkydOnMhwmR8bG0vk20qSNMD1O1EUJwB4kPwsy/LohISEJWpwmWnDwtKgVPNrcbXVaEHF4mqvmh8Lum8me81kKyewjI4Izz5nthjUiybHp2DEWMCGE1h6RwQdeSMbFjotZ2thZX/AwhjkpA/NyKavK2eMCYIAp7PA8tj0G6eskY8XyoBSUmdkPdBCYFlEURwBoIEgCEMBDLbb7ZMBkAytQi9RFJsB+CozM7NFUlLSNVEUvxUEYbcsy08CGCpJ0iZRFMcDCJQk6bWYmJhgQRDeEQRhsCAIP9vt9qdJAzab7X4AL9jt9q5169atmJWV9WdWVlaTI0eOXCqsA6wsUGo4uzaGrLyFUbO3sAkoJ0mUlzAySiCp9UftflE/acvShKuGFY9lLQgVXxkjixQta820HujBzGzzix5szDYfmREbTmDp9TodeV+uBZzAouND2lpYWosKsiUgwIKsLNXtM21oDenL+RVCa6gTqxI2Yc+5/WhYoR5aVIhHiDXUkF5fPmSGGPMlvkbbNrIeqBJYsbGxEwVBqEUIrMzMzDuDgoKWAdgsSdJItY5GR0fHWK3WSpIkbSSyoiiOFAShnizL7SRJiia/i46Orma1WteRn202W1en09keQKLFYmnhIrBEUfwKwHpJkubc1POVIAjr7Hb7XE5gZSPA0qBUi6v8bE2/noXN+85gt3QebZtF4GpIIv45/68y0d5R7g7s2HdZuddYLI9W9aMQGhxwWzOeIrjWnt6Anw/cShh8uE4PdKjUVs1M930z+ZbHsuawKJaCRhYpWoZyAit/JM02v+iNJ45PwYixgA0nsPSOCDryvlwLOIFFx4e0tbAwn7gwyWtLypXrWL/nFA4mpSKuZjjaNaqMcqWCaUOYS5/RPU3el+4tK8ZjR/JuzN+32K1f7z7Go4bqUM5yjOmAwe9EjawHqgSWKIp/V65cuempU6e2S5LUuGrVqiVDQkJ2SZJURw8C0dHRFaxW6zZBED6XZbmHJEmuHbxVFMV0SZJKuPSJovikIAjtchBYywRBmGS329cQGZvN9q4sy+SZDzmBxQksgsDKnSfww0oJAVYBbe/JwJbkdbBarIgsGY4mFZpi8c8CshzZaa/9uojoEl9V+TeZ4NMd6dh6Zgf2ntuPRhXqoTnFNwtE/9TdMyBdSHSHqhhRCyMav6A5DZelCVfLnGEme81kq4uc5DWwtIwC78mYLQb1Isvx4QSW3pgh8ryIe+GoGdmwGPFDQc+w8kKDpfmJZVt++TMRv228tQ/oeVctPNia5Ibov9SIqaKe+iAv3ZcmrEZ85XrYeXIv+tR/AJtP7oCUfMTwPka/lZ55guUY8wxi3tFqZD3QQmAR4qqZKIq7CYFFTBFFca8kSQ21mhUXF1fT6XSSFJS5TqdzvcVimZiHwEqTJMn9DeO8BJbNZvsDwMScBBaANLvd/pEagXXhQhrk4ntcVyvESgZWREQYzGBvXlvJZP7B3F04eDQVUREhKBe/C0EBFkSGROB02lnUKFsVFxNqYvOuFAXPuBrhGNbPhs2ntmPfuYOoXa4Glh1SuFHl6iF2QvvKbailx64+tQ4LD/zu1t+rzr3oVJkkGmq7zORbgoiZ7DWTrS7fRkaWVl13tI0MfVJkw2KG+VEfKuYab3qxMdt8pBcfFuYvkoH17lbPfIXwzTtHonXr5qb4u8xI7PhqLSB9ZWU9YGEMumKHVVusVgvemb0DCccvuodJbLWyePOpprqOE5KTJn/+k33ShJwmad0g/9MkRdlzkP3U5nNbcTb9PA5dOIqYiBqoGFoBGVkZWLB/qeF9jN75wVPyrMZYcec5solFfXsD1Y1EbGzsAgA/CILwBjneZ7VaR8uyXF+SJKWgutoVGxt7hyAIhLyaIEnSjJtHBtdKkhRDno2JiakqCMKahIQE0aUrL4EVGxs7y2KxrLHb7d8TGXKkUJZl8sy8wtonC5Ra//h9NhD4cZUdc5cdhNUioEO360DJNPx5bLvbuFblO2D98hJKFtYT98bBGnVESYetFFYRoYElcCjlqFs2plwNtK95J+6ObUcFnOXSOtgvHFHINNKeLaI2uoraCSwqneBKOAJ+goBAqoD64OLrgQ9A501yBPwcgf379+PlZe+gTLVyVHtKMrCmdHsT9erVo6qXJWW+WgsIhnw9YCmS/N+WLxf9g8Ubb2Uw3XdXbTz3QANdHXftc1wP9e8Whz6dbbfpeH3lRCSkJLl/H1uuJt7vMkZzW7N2zscfh9a75bvGtEeVsCgcvHCY72M0o8gF9SKgdz1Q3UjUrVs3Kisri9Se6nizM386HI7HDh8+fFytczExMeUtFsteUvhdkqRFLnlRFPcAGEJqY4mi+KYsy+EJCQmkULxy5UNgPQRgYEJCQvdatWpFBgYGbnE4HC0PHz58rrA+sPKGRQ1ncp8lVlnN3vxszflmomubKKy+8AsO5ZjAY8JrofTp9qheMQzt7qiMz/d9oRzrq1SqAuLKR2Nt4hZ3sx1q3YnrWdfxRFw/zcf8CuozeZsxZdcMHE49phxnTL6aguhyNfByE31HCM2SXcdjWS36i/d9I29ZaFlspvVAD2ZmWjv04OKS5fgUjBoL2PAMLCOjoujP+HItIL1nZT1gYQyyONfm9QupgbXu71s1sNrfoa8GVs6TJi68yGmSsf2b5NqnELkfD/2CtYmbc+xpWqFPzIOa9jNBQVZ8sPVTHE699VI/OrwGypeKwPaTewzvY4o+Y9DRwMcLHRxpazGyHqgSWK5OVq5cOSQsLMxqt9vTtHbcZrO9J8vycAAS4VjImiEIwlKHw/GD1WolWVSlScF2QRAezak3L4F1k9R6HwD5GqEFwHhJkn5U6wcrZ9zV7HRt+vlXCLNrWpFPvOZXOL1TlXbuCdx13ypY0N3WGReuprrfLESEhCNYCEb7SndpgV5VhhdxV4UolwBLZ9TVLDeTra55itfAUosK7943WwzqRZfjUziBVdz/7uBF3PWOCDryRmqe0Gk5Wwsr+wOW5icz2FKUrxC6av26xkHOer45x8ZfF7bjUGqSe08TE14TzSOaaR4+vx1biuV5MrDCS5TBD/t+devgRdw1w+kxQdbGi969QYEEFsmMKgx1SZLe8ZhXKClmZYHSAgdLgaxmrxZb1YoYkvtbz+7AnrP/olFkI9wQMnAm/SzCgkNRNawy6petS60GllpfaNirpqM43dfi3+JkT2F9NZOtnMDyz6g1Wwzq9QLHhxNYemOGyPMi7oWjxgksI1F1+zMszU/clsJjIufX1gv7ojrZc2w/vwvHLp9AtbCqaF6hia79zPkbZ7H19A4kXEhCbERNtKzcFJXKlseqhE3Yc26/8nX3FhQ/dkVnJGjTwmNMG07eljKyHhRGYH1504BoUvdaluVFFovlhizLPQHs0VoDy9sg5GyPE1i+RN9zbeuZgNS+1kHuk4tkbeX8tyd6r9aXgtrUY68n+u1tnWay10y2cgLL2yNJW3tmi0FtqNyS4vhwAktvzHACSx0xIxsWda3aJVjZH7A0P3FbtMWv1r2EVrmCWiXHCTMzHUqJGlemLSlhSvZLxfXiMeafnjOyHqgeIRRFcVVAQED/f//99wwxOy4uLsLhcPyckJDQwT9huNUrVhYoLTizNCjV7DWTra5Nf3E/pqHm05z3zeRfM9nKCSw9o8B7smaLQb3Icnw4gaU3ZjiBpY6YkQ2LulbtEqzsD1ian7gt2uPXm5LcL95EW3tbrPmF2hFCF4SiKO6TJKl+TkhFUfxXkqS62mH2jSQrC5QW9FgKZDV7zWQrJ7DUoqF43zdjLOtdpGh52EzrgR7MzBaDerAx4/yrBx8WYofXwNLjcXqynMCigyULY9CFBLeFTkzQ1sL9QhtROvpY84vevYGWDKzfZVn+B8BsWSY12IWBgiBUlySJfBnQry8zbVhYCmS1oDKTrWbcQJnJv2ay1RXLehcptflA630zrQdaMTHj/KIHG45P4WixMH9xAkvviKAjzwksejiykqHPwnzCyTg6ce0pLTzGPIVs0fQaWQ9UCaxatWpVDAgImC4Iwt03u7c0MDBwyP79+1OK1l3PP22mDQtLg1ItMsxkqxk3UGbyr5ls5QSW2szmm/tmi0G9KHN8CkaMBWw4gaV3RNCRN7JhodNythZW9gcsjEFO+tCMbPq6eIzRx5SGRtb8ovfltiqB5QK5atWqJcuVK2fZu3dvOg3gvaGDlQVKC1b+HshFLSaYE4Oi2kqzL1p8U1SZotpb1Pa9/byZ7DWTrZzA8vZI0tae2WJQGyq3pDg+nMDSGzNEnn+FsHDUOIFlJKpuf4al+Ynboi0mvLWHcbXD/aLNL96WYs0v1AkskoEVGBg4FwAp2k4Ir80A+kqSdNLbztLbHiew9CJGX17rZ1/1tGx00JJPy247txN7z+1Howr10LyYfAbWqL16MPUnWTPZayZbOYHlT6OMEzRavWG2MaoVF9d4Lu7Hl3gGlh6P05PlBBYdLFman7gthceE3v2UUaIr516pYYV6aFkxHtUrRiE5OQ1y8f0AoQIujzE68w5tLUbWA9UMLFEU5wuCkHD9+vX/lChRwirL8ghZlutJkvQgbQNo6+MEFm1E9etbufMEflgpuR/s10VEl/iq+hXleELrBJR38l5zeh0WHvjdralbbAd0rNwWIdbQQvujZRHQImPUaK32GtXvb8+ZyV4z2coJLH8badn9MVsM6vUCx6dgxFjAhhNYekcEHXkjGxY6LWdrYWV/wMIYdPmV21J4hGvdT+UloFrofFmfd6/Uq8696NOwJyewaE5AFHSxNl6oZ2CJorhHkqRGObHmXyGkEHmUVfhjIBNS58Pvd+Hg0VS3tXE1wvHqY02Un51OGUaIn/xsdekh/0/LuIHN+85gt3QejcXyaFU/CmElAzFl12dISEly96V2eHXcVb0lmkc0zdcbaosAaevKjSvurC7ypsK1UBixq6CQ8EffUg7fXOrMZK+ZbOUElidHjXHdZotBvUhxfDiBpTdmiDw/Qlg4apzAMhJVtz/D0vzEbSk4JgrbT5G9VM5r7ekN+PnAEvevHq7TAx0qtdUUcKSdKbtmICEl0S0fW64W3u/yCiewNCHoPSHWxosnCKz9lStXbrRu3bos4pa6desGZWVl7ZIkqb733GSsJVbesGix3l8DOe8bg4EPxyAjNAl7zu1HdJiIK8crIrJUWYVkCg0OUDWVTK6yLMN1bCE9K/tYoEtf+skoBFtC8NvGW5Mvyfq6p1k1LEz8FasOb3K30bp6M1y4moKX7hikkGl5r4IWAUJsbT+/CyfSTqJsibL4PWGN+1HypsIqWPH32X3ISWipGlaIgL/6tig2Ffasmew1k62cwPLUiCmaXrPFoF60OD6cwNIbM5zAUkeME1jqGGmRYGl+4rYU7vFfNyfh1w1H3EL3t62N+1vVzPWQQkDtnoGECzkIqIhaeLnxC/nuc/K2SJ7/NWkpVh7ZiMiS4Ui+moIu0W3xdHwfTQQWzZf3WuJfrwyPMb2IeUfeyHqg5QjhFACiLMufZ29AhMEA7JIkjfSOWcZb4QSWcexoPZnzzHa8rTyEqMNYeHCpW/2dke2x4Y+S6N0xttCjhXnrV3WObQNHugVrTuV+03BXVEcc/bsi7Mduz/raev4vnLpyBodTjqJSWEUkX72ABuXr5vtmgkzCU3fPgJRjERAjamFE4xdA9BxKTcLptLOoUbYKTqWdhT05e1GJKVcTadev4Gx6svKznjcfBWHO0oSrJa7MZK+ZbOUElpbo976M2WJQL8IcH05g6Y0ZTmCpI2Zkw6KuVbsEK/sDluYnbkvB8Uv2JL//dRxnL6Tj5Pl0VCkfiooRobi3ebXbiKnfji3F8kPr3cq6xrRDz+rdNQ2OgAALlh9bhSs30nEk5Rhql6uOUoGh6Nfo/kIJLL31uTR1xgNCPMY8ACoFlUbWA1UCC4BVFMU3AHQDYAGwLCAg4P1///03k0KfPaqClQVKC0j+PijJ5EuuvKRQrbI1kbKzCcqWClaOFuaXCUWey5sN1bf+fWhf6S4l1TUnyUT0xWTci8Ubb72lcNXd2nroGC4HHAOCruHfc4cghseifdWWBdbAyi8Dq1OVdvjp8C9Ym0i+ZZB9kUyurSd2weF0oEOtVtiQtBUO2ancc5FeBdnFgm+12KBHxt9jWY8tarJmspVgYWSRUsNQ630zrQdaMXH5pLgX4tZjr15Zs41RPfiwgA2vgaXH4/RkfbkWECtYWQ9YGIOuqOK2FDy+CLH03rc7cOTUJUSWLYnzqRmIrlIGbzzZFFlZ2fsNchG57w8ugANO5SU7eVlvhQWPxfXOJVdQS+T5hYcXY8XhDW6Ru6Pb4tmm/QolsLTW56I3gxjT5MsYy8zMxO+//4b69Rti3brVePbZQdi4cR1iY+MQFRWFrl07YPnytZoN86UtmjupUdDIeqCFwHI1T8irnNetEaOxg94WY2WB0oJbcQnkvKQQycBav7wkHulUcAZWvtlQkbXxcuPBWHVifa6z3kTf2YNVULtKaSQcu5irBhapx3XoxEVULBeiQFqmVDBe6de4QNIsvxpYpQJL4T+7PsOhHLW0SNZVZEg4qoZVQWhQSXy7Z4HbZTwDS0v05pYpLrGs37LbnzCTrcR6I4sUDZyJDjOtB3owM1sM6sHGFbOc4MsfNRZihxNYekcEHXlfrgUsrQcsjEFXRHFbCh9bWo4QEg1Lji9TCCjXEcC7Y9qhRzWSg6J+EQJr0o7pt+1xJnQZUyCBpac+l3oPPCvhyxg7ffoUXnttFL75Zp7byKFDn8dLL41CTEwsunXriGXLbpWkUUPCl7ao9U3vfSPrgSqBZbPZBsuy/AGAsJsdIs/IkiRZ9XbQ2/Jm2rAUl0B2kUJ6a2Dll4HVtmIb5K2BlbOmFincnjPzyegbArWvGZK6V52rdFDaUiv8bmQMFBffGrEtv2fMZK+ZbOUEFq0RQleP2WJQL3ocn4IRYwEbTmDpHRF05I1sWOi0nK2Flf0BC2OQE1jaIjvlynWs33MK9qRU2GqGo12jyihXKvi2hy9mpWDT6W2Qko9AjKyNNpVaoGxAOW2NAPj9xHIslW4RKd3FjniycW+egaUZwfwF33//baxfvxbVqlVHhQoV0a1bD0yYMB7VqlXDpEmfol+/hxQC68iRw/jkk8lKvefAwCCMHv2akqGV92Jt7HuiiPtxi8XS5/r164dzgpeYmHi2iL70+OOsLFBagCpugZzzq4FajtcVVANLvll7XYs+Wme0tZBUNAsZFjffaonXwmTMZK+ZbOUEVlFHhmeeN1sM6kWR48MJLL0xQ+T5VwgLR40TWEai6vZnWJqfuC3aYoJkSeU8NljQU1rl8j5PCLA/T/8Fe/Jh2CKj0bpyc8RG1eA1sLS5p0CpM2dOKxlYw4aNxE8//YAJEyaBZGANHz4a0dEx7gys558fgBEjRiMuri52796JH3/8Hh9+SMqR575YGy/UCSybzbbObre3L6LffPI4J7B8ArtHG837FUIXgaWnUVrkEi09an1naZJSs9VFcpjlyI4Zfat3kdISM1pkzLQeaMHDJWO2GNSDjdnmIzNiwzOw9HqdjjwnsOjhyMrfSyytRSzY4iLA9NjirX2R0dGjxxajbRT0XEEEVt4jhHff3Q5xcXUUNU6nEzdu3MAXX3zDCay8BJ6ag0RRfBJAQ5JVKMvyDZd8QkLCrQpvakp8dN9MGxZfDkpvu9dMtppxA2Um/5rJVlcscwLL2zNm4e2ZLQb1os/xKRgxFrDhBJbeEUFHnhNY9HDkBBYdLGlqYWFuZPElly/9cvbsGbzyyggMHz4KCxbMVzKwXnppMIYMGY7YWJs7A+u5557E22+/jypVquL48WPYunUzevfuywksvQRWbGzsXEEQ7gPgPjJIiKGEhASR5mD3hC5OYHkCVd/r9OUE5Avrub2+QN07bZrRt5zA8k5saW3FbDGoFRcW/3jXa7uaPAuxwwksNS975j4nsOjgysIYZHGu5X6hE9+0tfjSL+QrhIMGDUBm5g3UqFED778/CV999V9s2fKn8u8BAx5VamAdOpSAadOmwOFwgDzz4ovD0ajRHZzA0ktgiaKYWKJEifp79+5Npx1IntbHCSxPI+wb/b6cgHxhMbfXF6h7p00z+pYTWN6JLa2tmC0GteLC4qZKr+1q8izEDiew1LzsmfucwKKDKwtjkMW5lvuFTnzT1sL9QhtROvqMrAeqXyEURfGvsLCw1jt37nQfH6TTXc9r4QSW5zH2RQssTUBa8OP2akGpeMqY0becwPKvWDVbDOpFn+NTMGIsYMMJLL0jgo68kQ0LnZaztbCyP2BhDHICi2Zk09fFY4w+pjQ0suYXvXsDLQTWZ4IgtJRleQmA6y7QJUmaQMMBntTBygKlBSNfBrK3i/b50lYtvqAtw+2ljaj/6DOjb/UuUrS8Zab1QA9mZotBPdgQWY4PJ7D0xgyR518hLBw1TmAZiarbn2FpfvKlLbT3Mb60hU5k3dLCbaGNKB19rPlF795AC4F1e+l7AJIkDaDjAs9pMdOGxReBnH49C5v3ncFu6Twai+XRqn4UQoMDPOfQm5p9YavHjSqkAW6vL9H3bNtm9K3eRYqWB8y0HujBzGwxqAcbTmCpkxDFvYA0z8DSOyLoyHMCix6OxX0MupDwxVrkqX2ML2yhE1GcJPUUjrT1shZjevcGqgRWHsAtDRs2LFlc6mGZacPii0BeufMEflgpuUOkXxcRXeKr0h6jt+nzha0eN4oTWG4EzORfM9nqIgP0LlK0xp6Z1gM9mJktBvVgwwksTmDpjReXPM/AUo8dX60FpGesrAcszd++sMVT+xhf2GJ0rlJ7jtuihpBv7rPmF73rgSqBJYpiGwCdnE7nhxaL5S8ANkEQnrXb7XN94zLtrbKyQGmx2NuBTNJtP/x+Fw4eTXV3L65GOF59rAmcTllLlw3LeMLWwEArSpQIVPp0/XoWMjOzDPeP9oOesJd2H2nqM5O9ZrKVE1g0Rwk9XWaLQb3IcXwKRowFbHgGlt4RQUeeZ2DRw5FnYBnD0pP7GBbmRheq3BZj8eXpp7T4JSDAgpIlg5RSCJmZDly75p/lzI2sB1oIrC2yLI+zWCzlZFl+ymKxvOB0OhdIktTM084pqn5OYBUVwcKf99SbC7Veaxm0ajpy3rdaLShTpiTI/8lFCLi0tGt+Q2LRtlcPNr6QNZO9ZrKVE1i+GE3qbZotBtURyS3B8eEElt6YIfI8A6tw1IxsWIz4oaBnWNkfsDQ/+cIWT+1jfGELzfGRUxe3xVPIFk2vml8IQVu2LNnbWpWGZFnGlSvX/ZLEMrIeaCGw/pIkqbkoijNlWd6VkJDwX5vNttNut8cXDXrPP83KAqUFKbVA1qJDr4ynzo6r9YO2raGhwQgJCcrVLGGpCYnlDxdte/3BpsL6YCZ7zWQrJ7D8c+SZLQb1eoHjwwksvTHDCSx1xIxsWNS1apdgZX/A0vzkC1s8tY/xhS3ao1+fJLdFH17eklbzC9nXkv1tzoucLrp0KcNbXdTcjpH1QAuBtVsQhL6yLK92OBztSW+sVusiSZLqa+6ZjwRZWaC0wKcWyFp0GJWh/fUOtX7QtjU0NAghIbkH+bVrmUhLc390U61LHr1P216PdpaCcjPZayZbOYFFYXB4QIXZYlAvhBwfTmDpjRlOYKkjZmTDoq5VuwQr+wOW5idf2kJ7H+NLW7SPAm2SrNqyZs0qzJ37LRwOh5KddM899+LRRx9XQOnd+z5MmzYTUVFR2kDKIfX11zMhCAIGDHhO87M7dvyFWbO+wOXLl5SMqQYNGuH554egdOnSBerYvHkjUlPPoUePXpDzqdxDjg6WKpV7b3v9+g1cvnwNEye+jwce6AWbLU5zHz0paGQ9UCWwbDZbf1mWPwYwT5KkYaIonpRleVRCQsIPnjSGhm5WFigtWLA0wajZS9tWsnCRI4QBAdlplg6HE5cvZyAry6nWFa/cp22vVzpdhEbMZK+ZbOUEVhEGhQcfNVsM6oWS48MJLL0xwwksdcSMbFjUtWqXYGV/wNL8xG3RHr/elGTRLwcOHMGgQU/jm2/mISwsDNeuXcOQIQPx1FPPok2btl4lsHbt2oEJE8bjvfc+QlxcHYVMmzt3NlavXomvvvoOAQEB+br7m29mKskXffs+mS+BRfxWpkwISI1n1972yhVSHsfhzfDR1JaR9UCVwBJF8UlJkr519aBy5cohp06duqqpRz4WYmWB0gIjSxOMmr2esJWQWCVLkiLuAkj2lcPh2UL0ajbmvO8Je/W0721ZM9lrJls5geXtkaStPbPFoDZUbklxfDiBpTdmOIGljpiRDYu6Vu0SrOwPWJqfuC3a49ebkr71i4yzF68h5fI1VClfCqWVfZrxy2XL1q27MGrUS/j886/dWVaJiUcQFBSEKlWqugksp9OBkSOHYvTo19CkSVN8993XWLFiuZIl1bx5S7zwwjAl22revO+wePEihIeXRalSYahbt76SgbVw4Y9Yvvx3ZGZmn+h5++0JqFWrdi4Dhg0bhG7deij/5byee+5JPPJIP3Tp0hULFszHokU/w2KxID6+Oe677wGMGPGi8vOzzw5Cixat8MEH7yI9/QqSk8+jY8cuSt+eeeZxvP76G2jQoKFS+6pXr5745JPPFcLsmWeeVzK9Jk/+EImJh5GamoKqVatjwoRJCA7OnbllHHFtTxpZD7QQWPuKw3HB/CBiZYHS4n7fTjBaekhPxky2ujb9rHxlRksUmMm/ZrKVE1haEP+NiwAAIABJREFUot/7MmaLQb0Ic3w4gaU3ZjiBpY6YkQ2LulbtEqzsD1ian7gt2uPXm5K+9Mu+o6n4+Me/lY9rlQ4NxCuPxaNyuRDD5ue0ZdKkD7FkySLExtoUcqpz53sQGysquskRwnHj3sHkyR9gxIhX0LhxPLZs+RPffPMlpk+fqWRFvf76aDRvfifq1KmHd98dh1mz5ipf+xs4cADat++IPn0exdixo/HRR1MVQogcEUxLS8Pw4aNy9b9Ll7ZKplWNGjVz/f6zzz5BVlYWunbtjrfeGotZs+YgNLQUXn31ZfTt2x+7d+9wZ2DNmzdXOW7Yvft9uHo1HQ891B0//fQrVqxYhlOnTmLYsJHYu/dvzJw5Q+n/0KHPKwQWId9WrvwDo0a9qrRNyLRevfqgXbsOhjE28qCR9UALgTUfgF2W5Y1Wq9WdeXXw4MHNRjrpzWdYWaC0YObLCUZL/2jKmMlWTmDRjBz/02XGWC5fvrTquuMJT5lpPdCDn9liUA82Zpx/9eDDQuwcPHgA7237D8pUK6fHdFVZ/hXCwiEysmFRBV2HACvrAQtj0OU2bouOAPaiqK/84nDKGD97O06cu+K29uEOMbi3RXXD1ue1JTk5Gdu3b8XWrZvx558b8MYb49G+fSeFwMrMzFQIrcmTP1XaI4RShQoV0bt3X+XnTZvWY9myJahfvxEuXEjGkCHDld/Pnv2VcgyQZGClpqZiy5ZNOH78GLZt26yQZWPHvpmr/4TA+uKLr1G7dkyu33/88WSQ00GkzfPnz2Po0BG57uc9QkiOItrtB5VsqtWrV2DevIUIDi4Bksm1YMGvmDJlotJ+z54PuAmsO+5oApJ5tnv3Thw7loQNG9Zh4MAXFNLMm5eR9UB1IyGKYmI+RsiSJOXOgfOmpRrbYmWB0mKuryYYLX2jLWMmW824gTKTf81kqyuWOYFFe0Ysmj6zxaBetDg+BSPGAjacwNI7IujIG9mw0Gk5Wwsr+wMWxqDLr9wWmhFOT5ev/EIIrLe/2Y6T528RWL06xKA7BQJr8eJlyMi4ho4dO7uB+u23Rdi4cb2SMUUILHIEb86c2UpdrLZt22PatKmIiqrkJrA2blyHpUsXK9lZ586dxdChLyu6SP2qGzduKNlQL744EL1794HNVheSdBAJCXa89tpbuZwzfPgLCmlGiqrnvJ599gkli+vixYs4e/aMmyBLSbmAgIBALFw4352B9emnU5VMq65d70VMjKgQVDNmzFKOR5KMrd69++GDD97Bt9/+oGRxuTKwrly5gi+//Bx9+z6GmJhYfP/9d2jR4s7bjjPSi6b8NRlZD1QJrPyaqlOnTv0DBw7s87RBRdXPygKlBQdfTTBa+kZbxky2cgKLdvT4lz4zxjInsHgM+hcChffGbGNUj29YwIYTWHo8Tk/WyIaFXuucwKKJJS1dLMwnnIyjFQ3ZevYlkSOEu+GUgbCQQIwhRwgjin6EcMWKtZg4cQI+/niGQvKQjKnp08lRvxJKBpLrK4QXL6bgtddGY86cH7Fnz99KdtW0af+F1RqAcePGoFGjxkpNKvJvcsQvMDBIIYdatmylZFT9+uv/MGXKNCWba+zYUQgPD1eyvHJe//yzB2+99ZpSeyourq7SF/IlQ0KmkaOFJKNq/Phx+PLLb5WjiGPGjECPHg/g6NEjCAgQ8NhjT+OJJ/opdbrq128AkolFSLH5839B5cpVsHZt9tcWSW2vd975QGnaRWCtW7cGERGRePzxp5TaWSRbi9TUIuSbNy8j64EuAisuLu4ep9M5EkAHSZKKVknNC8hwAssLIPugCZYWOS3wcXu1oFQ8ZczoW05g+Vesmi0G9aLP8SkYMRaw4QSW3hFBR97IhoVOy9laWNkfsDAGOelDM7Lp6/JtjMk4k3oNKWnXUCWyFMqEFI16yGnLsmVLleLrDkf2V/maNWupZDmR+la9e9+PadO+UMitjz+ehOvXr2PMmDfw7bezsGrVH3A6nWjatLlSW4oUdP/ll5/x44/zUKZMGVSsGKUUau/X73GMHTtSOf5HisOTwu5HjhzCjBlf3eYkUp+KZEJdvJiq1L0iR/sGDx6m1LUiFyHC/ve/nxRyq2XL1kp22L59e/D++2/joYceQblyEUp9q7Cw0gpJdunSJYWII30k2WD3399VIc5atWqj6CO1rp5+eqCif/z4NxRCjvSxfPkKqF69Bp57bjD9QCpEo5H1QJXAqlu3bpDD4ejvdDpHCIIQJwjCT7IsvyuRXDg/v1hZoLTA7NsJRksP6cmYyVaCGreXXuz4myYz+pYTWP4VhWaLQb3oc3w4gaU3Zog8r4FVOGpGNixG/FDQM6zsD1ian7gtNCOcni7uF3pY0tTEml/07g1uI7BiYmKCrVZrA4vFctLpdD4ry/KLAAIEQfhGluV7JUmqR9MBntTFygKlBSNagUwKxpGvPRR0FfW+FlvUZGjZqtaOv9zn9vqLJ+j3w4y+1btI0ULdTOuBHszMFoN6sDHjCwQ9+LAQOzwDS4/H6clyAosOliyMQRcSrNpCvvRmZF+ltt+iE0HqWlj1i1zwVlcdFD+QYM0vevcGtxFYoiiuJMX2ASwEkADgg8zMzB+TkpKuiaK4S5KkJn7gN01dMNOGpaiBnH49C5v3ncFu6Twai+XRqn4UQoMD3Dir3b/qSMe2czux99x+NKxQDy0qxCPEGqp8QaGwidsIUVZUWzUFjx8JcXv9yBmUu2JG3+pdpGhBbqb1QA9mZotBPdhwAqtwtFiIHU5g6R0RdOQ5gUUPx8jIMCQnp4FvyOlgSkMLiW9rUCCWbU4scF9V0L5Jbb9VWP8CAizIynLSMMGtg4V5nnWSlIWxr3dvcBuBZbPZxsiyXBHAcEEQMmRZlgDMEgThW1mW13MCi+q8QE1ZUSeYlTtP4IeVxNXZV78uIrrEV3X/TO4vWJOAyLIlkXr5Gp7oVgd31iVhkn2tPb0BPx9Y4v75yUa9kZ6ZcRuhpWZwQRN6zueKaqtaH/ztPrfX3zxCrz9m9K3eRYoW2pzAyh9Js8Wg3nji+BSMGAvYcAJL74igI88JLHo4cgKLDpY0tZD4Xv33KcxddqvaTt59Fdk3LZZWILZcDSRcSMR9tq7oUKkt1PZj+fXzYlYKNp3eBin5CMTI2mhTqQXKBpSjYhIL87wLCG4LlZCgrsTIelBoDawGDRqEX7t27VlBEAYBKA/gmtVqbX3gwAGSmeX3l5k2LEUZlCRL6sPvd+Hg0VS3T+NqhOPVx5oo2VPk/vdr/4Ej/BjOZSWhVngNZDquo2JoJJpXiEepwFKYunsGpAuJyvNWixVta7TA2sTNbn0P1+mhTMxqV14iLL/nimKrWvv+eJ/b649eodMnM/qWE1h0YoeWFrPFoF7cOD6cwNIbM0Se18AqHDUjGxYjfijoGVb2ByzNTyzZYrUK+HDuLhwoZF+18uRqpGWm40jKMdQuVx1hQaG4p1pnTJizs8D9WEHxvOT4MixLWOu+3S22A3pU60ZlyLDkF24LlZCgrsTIeqBaxP1mL4XY2NjugiCQelidASyRJOlB6hZQVsjKAqUFlqIOSjXG/7cjq7E86Q93V1pXb4atJ3bhQVs3hZjKSTwRYissuBQOpSS55cWIWhjR+AXVc+A5iTDycH7PFdVWLXj6kwy315+8QbcvZvQtJ7DoxlBRtZktBvXixfHhBJbemOEEljpiRjYs6lq1S7CyP2BpfmLNFrUMrN+OLcXyQ+vdQds1ph16Vu+uOwOLHBv8aPs0HE496tYVHV4DrzQbSuU4IWt+4RmL2udJb0kaWQ+0Eli3BkV0dIzVah0sSdJIm83W0W63r/GWgXrbYWWB0mJ3USeYws5ckwysKbtnKCmurqt2eHWkZ15FmRJhCjF15cYVdw2sRhXqwwkHFh743S3PM7C0eDF/maL61njLvnnSTPaayVYSTUYWKVpRaKb1QA9mZotBPdi4YpaVP3j12q4mz0Ls8COEal72zH1frgXEIlbWAxbGoCvCWLOlsBpYhZFOl9IzC61JnN+I5BlY2uYp1mKMlb9NjKwHugmsnCHi70XdWVmgtAxLWoOyoKLreY/2KRlYx3fiwbh7cx0NdD2vpZZVfnZpeY6WrVpw9QcZbq8/eMEzfTCjb3kGlmdiyahWs8WgXpw4PgUjxgI2nMDSOyLoyBvZsNBpOVsLK/sDFsYgqwSWi1wo6CuEaqSTno9g8RpY2mYHPl604eRtKSPrQVEJrN2SJDX2tqFa22NlgdJir6cHpYtY2nNuP2LK1UTGjQxElox0f22woD7qmYBz6ijsOU/bqgVvb8pwe72JtnfbMqNvOYHl3RhTa81sMaiGR977HB9OYOmNGSLPa2AVjpqRDYsRPxT0DCv7A5bmJ7PZ4gnSiX+FUH3eIcTiqFFjcPDgv7hxIwsnTx5HrVq1lQd79nwQDz74MJWpZtOm9Thz5jQefrivLn1JSYl4/PFHMG7cu7j77q4FPktzvGzYsA5HjhzCU089q6uvtISNrAdFJbB2+fNXCVlZoLQECM1ALqw9F7FklJjSYouajLdsVeuHt+5ze72FtPfbMaNvOYHl/TgrrEWzxaBe9Dk+nMDSGzOcwFJHzMiGRV2rdglW9gcszU9mtcUTpJP2kaAuybJfCME0dOggLFjwqzoQOiW+/PJzBAcH44knntb15IwZn+DMmTO4cCEZn332pVcILF0d9ICwkfWAE1gecIQvVLI0wajhZyZbCRbcXrWIKL73zehbTmD5V7yaLQb1os/x4QSW3pjhBJY6YkY2LOpatUtwAks7Vt6SZGmu5bbQiZp0Zzr2JO/FmfTziA2vjbpl68AKq2Hlef2SH4GVkZGBiRPfUzKSLBYrHnvsCXTp0hUvvvickqHUrFkLpf3+/R/BxIlT4HBk4aOPJiAtLQ0hISEYPnw0LBYLRo0aCkGw4PnnX0R8fDN8+OF7SE+/ohBTnTvfg0GDhtxmh8PhwEMP3Ytp02Zi6NDnMXXqZ6hdOxokQ2rJkl/x0UdTlWd++20R/v13HyZPnohPPpmOVatWQpadaNw4HkOHvoxTp05i3LhXER0dA0myIySkJN5+ewIqVozCrFlfYOPG9bBarahbtz5GjhyDJUsWYf/+fRgz5o187xsGXOODRtYDTmBpBNffxViaLNWwNpOtnMBSi4bifd+MscwJLP+KWbPFoF70OT6cwNIbM5zAUkfMyIZFXat2CU5gacfKW5IszbXclqJHDcFwydE/8Puh1W5lg+KfQIMy9Q0r10JgTZs2VSGDhg0biYsXL+K5557A5MmfKoTRjh3blKN9+/b9gy++mI5p077A00/3x9NPP4c2bdrhn3/24J133sT8+f/D11/PdGdgzZ07G5GR5dG1a3eFxHrwwe743/+WolSpUrls2bhxHWbPnoVZs+bg448nw+l04OWXxyArKwsPP9wTc+cuUJ4ZNmwQnnnmeQQGypg/fwHGj58AUmvtww/fRZ069dC0aXM8+mgvzJo1FzExsZgyZSJCQkLx6KOP44kn+mLRomWkDiAmT/4AAwYMxNatm7B//34MHjwk3/uRkZGGMdfyoJH1gBNYWpAtBjIsTZZqcJvJVk5gqUVD8b5vxljmBJZ/xazZYlAv+hwfTmDpjRlOYKkjZmTDoq5VuwQnsLRj5S1JluZabkvRo+aGcB3jNk1E2vUrbmVdo9ujZ417DSvXQmANGPAo3nzzPXddrI8/noSaNWuha9ce6Nv3Qcyf/wumT5+KBg0aoXXrtsrvlixZ6e7Tk0/2wzvvfIAVK5blOkK4c+d22O0HkZR0BKtWrcBPP/2KvMTQ2LEj0bBhY/Tr118hw0aPfgmLFi1HiRIlMHXqR4iNtaFly1ZKNthPPy3CzJnT8McfK1C6dGmFkLpx4waaNWuJhx/uo2RwEZKMXCRj68CB/XjlldcxZMhAkCyz1q3vQqdOd6NGjZo3M7D2Y8yY/O8bBlzjg0bWg6ISWPMlSdJXnUyjMTTEWFmgtGDB0mSpZq+ZbOUEllo0FO/7ZoxlTmD5V8yaLQb1os/x4QSW3pjhBJY6YkY2LOpatUuwsj9gaX7itmiPX29K+swvgozvDv6IbSd3uc19vMHDaFm+uWHztRBYhIB6++333QQWIY6qVauuFGP/6KP3Ua9eA8ye/RXmzv0J169nKplOOQmsJ57og7feeh9r1qx0E1gkm+r8+bO4++5uiIkR8cILzyjZUSQry3WlpqbgoYe6Izy8HKzWAPKtVCQnn1cysHr2fEDJACN1te68szUuXbqEgQMH47///QSRkVHo1auPoubq1XTl2GJKygWMHDlMyQQjV/YRwWyCihBd+/btxbZtW/D7778p2VtHjyYWep+QdZ68jKwHBRJYoii+WVhnJUl6x5PG0NDNygKlBQufTTBaOkdZxky2cgKLcvD4mTozxjInsPwrCM0Wg3rR5/hwAktvzHACSx0xIxsWda3aJVjZH7A0P3FbtMevNyV96ZfkzGQsT1qNg8mH0LZGS9xV6U6UtIQYNj9/Aut5LFiw2K1z2rQpyr9JLanU1FQ880x/TJw4FbGxolInaty4MUoWFMlmItfTTz+GAQOew113tcfevX8rtadI5tO3385SjvWRe6Re1htvvI24uLrYvn0bRo4cqrRJalK5rnnzvsOOHdsxZco09+9++GEuVq5cjq+/nqv8jpBjpHbVO+98iOrVq+Pvv7dh2rTPMH36TAQEBOCVV4Yr/WjevKXSBskWI5eLwOrf/0ml/198MRuBgYF47723UL9+QwQEWBUCq6D7DzzQyzDmWh40sh4URmC5St9HA4iTZXmRxWK5IctyTwB7JEl6UEunfCnDygKlBUNfTjBa+kfzq4V5baWpW4st3pbxd9/SxsNM9prJVhInRhYpWvFlpvVAD2Zmi0E92Lhilnx2Ozk5DbKs92m25VmInYMHD+C9bf9BmWrlqDrr0vEUjGs5Em3aNOexkw+yvlwLSHdYWQ9YGIOu8OC2FH0K8sR+yOd+EWQ4kAWrHFhkgCwWICLi1nqeXxF3UqNq8uQPcfhwgpKt1KfPY+jR4353271734e33npPIX7IdfRoEiZNIkXcLyMoKAjDh7+CevXqY8+e3Xj//beV58PCSmPWrP8q/y9XLkLJkHrxxZeUouuu6/HHH8HgwcPQqlUb9+9IX3r16qEUcye1rb777mts2rQBM2fOdn/ga/LkqcqRRNJXUvvqpZdGKUXcC8rAItljq1b9geDgEqhcuQpef/1trFq13J2B5bpfokRJVKpUWblPjjB68jKyHqgeIRRFcVVAQED/f//99wzpfFxcXITD4fg5ISGhgyeNoaGblQVKCxa+nmBck2beyfOqIx3bzu3E3nP70bBCPbSoEI8Qa6jbJCOTrcvWy5czUKJEgMJwO50yrl7NRFaWUwtcxUrG1771NlhmstdMtnICy9sjSVt7ZotBbajckuL4FIwYC9hwAkvviKAjb2TDQqflbC2s7A9YGIP+QGAZ2YsUFo/e9gvZa20/vwvHLp9AtbCqaF6hSa69VlHGjrdtKUpfC3s2LCwYVqsFxNfXr2chPT1Td1Pky4SkSPvs2fN0P0v7AVb8YnRvoIXA2idJUq6S/6Io/itJUl3azqCtj5UFSgsuvghkMglcuXFFIaiSM5JRMrAkDqUkodFNoqpUYCmsPrkePx9Y4jbh4To90KFSW+RHbBF5QkSpXS5bSbE6Ql65LodDxuXL19QeL3b3feFbX4JkJnvNZKvRRYpWLJppPdCDmdliUA82rpjlGVj5o8ZC7HACS++IoCPPCSx6OLIyP/liPlF7yW7USzltcb1kL0hXQIClyC/ft134C4dTj+J02llUCquI6PAaaBFhvFZUzr76wi9GcS/ouZCQIAQHW923SbZSRkaWQmRpvebNm4OffpqnFGhv2PAOrY95TI4Fv7jAMbIeaCGwfpdl+R8As2VZFgRBGCgIQnVJkh7ymFcoKTbThsWbgUwm/L/O7cS+8wdQM7w6VhzegJZVm+DPY9vdnusRcw/OHqiK1AprcCg10f17MaIWRjR+IRexZYusjdrhNXA4JcmdpVUYmUVsjYgoBYfDkStSyIR08SInsCgNH5+p8WYs+8zImw2byVZOYPk62tglITyJrNnGqB4sWcCGE1h6PE5P1siGhV7rPAOLJpa0dPliPll7ekO+L9mLahOxxRoUiGWbE7FbOo/GYnm0qh+F0GBSnDv7upiVgk2nt0FKPgIxsjbaVGqBsgH6jzKTZIJfEn9T9mKu6+7otniwVk9NSQFqtvrCL2p90nufZF8RojDndf26Qzm5U1wvFvziwt7IeqBKYNWqVatiQEDAdEEQ7lZK4gO/BwYGDtm/f3+KvzudE1j0PZR+PQtrTq7H8qQ/UDE0EqFBIUjPvKr8/0jqMXeDMeVqwlaqIa46rmDtyTXu35MMrE5V2mHq7hmQLiTCarHeRn51i+2ApNRjqFe+zm1HDl2bYPLG6fYMLCcuX75O32gfa2RpktICpZnsNZOtrrHLi7hrGQXekzFbDOpFluNTMGIsYMMJLL0jgo68kQ0LnZaztbCyP2BhDObcxHozm4wQP669iKsPrpfsWk6DFBaPxC8rd53EvD/sbrE+nUXc07Sq++clx5dhWcJa989k79OjWjfdYU6ImUk7pisnYFwX2YONbjqkyJldOfdcxbkOZGhoEIKCipaBpdsxHn6AtbGvd2+gSmC58G/QoEH4P//8k+phf1BVz8oCpQUUbwXyln/P4s9rC5F4MQlWwYKW1eKx9fhO5f85M7A61LoTB88fRtPyLXDlegZOXj+cqwaW662HiwTLSX7VDq+ukGJn05PhOnKYEwOXrWlpGQgOJjWwyB8j5POhmbhxg9fA0hIv/izjrVj2BwzMZCsnsPwh4m7vg9liUK8XOD6cwNIbM0SeF3EvHDVOYBmJKrbnb1/MtZ7KwLJaBbw/ZyekYxfdThOrl8Vr/eOVrChCOn20fZpy7M91kWN/rzQbqpt0IkTcT4d/wdrEzW5dHWq1wiPRD/IMrJuIkNgqVaoEAgIEpfRMZmYWrlwpvtlXrBCLroA1sh6oElh16tSJdTgc5DuM4YIgNJNleaXVan3gwIEDCXSmX89p4QQWXWzJJPnRD7sRVecUtiSvU5ST43/R4TUVwikoIBBHUo4hKqwCIkLCsdS+CtXLVEebkr3Qql5UronUde6cHEOsFV4911uI1tWbKaSYQ3Yiv7chORc50geLxQKHgz3iKufA9uZbKbpRo1+bL/6I0d9LOk+YyVZOYNGJGdpazBaDevHj+HACS2/McAJLHTEjGxZ1rdolWNkfsDQ/+cIWT9XAIgTW3JUJWPnXrZMpXZpXx2OdY917IZoZWCuOr8aZ9GR3Dayo0EjcXa2TbjIsvxHkC79oH8n6JIlfypUrxcSXYVnyi5H1QJXAEkVxmSAIn8uyPF6SpCaiKI4A0EOSpI76wsb70qwsUFqQ81Ygr9x5AnuSTiIq9gLOZCXBVtaGTjVaIsBqxZYzO5B06RiCA4JwLj0Z9uQj6FrzHnSs0i7Xue+c9uQsBE++VBhdriaOpB5VniVXYRlYxTmdVYtPOYHF/mfrvTVu9cSbJ2WNLFK0+mOm9UAPZmaLQT3YuEhXM71A0IMPC7HDjxDq8Tg9WV+uBcQKVtYDFsagP/yt64mvEG45eB72pBScPJ+OKuVDIVYrizvrVnQPIlo1sIjCjec24WTaWWTcyEDJwBKoEhaFuyq0oTJgeYxRgZG6Etb8Qv0Ioc1m22m32+NFUdwtSVJj4gFRFPdIktSIujcoK2RlgdICi7cCmdTA2rzvDPYeSkarBpXQMDoiFzmViWvYfHo79pzbp3yNsHmFeM2fcs1LZjW8+TXDEGtoLgi8ZasW3L0hw+31Bsq+acOMvtW7SNHyjJnWAz2YmS0G9WDDCazC0WIhdjiBpXdE0JHnBBY9HFkh2FmYT3KScaSI+x9bEpF0Jg01osJwZ73cRdxdsjS+QkjIsM1ntuPclWSUD41A60rNDRWEzy8qWfOLa7ysWbMKc+d+q3wQjHwE7J577sWjjz6uQNC7932YNm0moqKidA/Ur7+eqRxTHDDgOc3P7tjxF2bN+gKXL1+C1WpFgwaN8PzzQ1C6dOkCdWzevBGpqefQo0cvpYyOnmvixPfxwAO9YLPFaXrs4Yd7omTJkggMDFSwunLlCuLi6uKNN95GcHAJHD58CJ9++h9cunQJTqcD9eo1xEsvjUSJEiU06TeyHqhmYMXGxu6oUqVKy1OnTm0nBFbNmjXLBgUFbZIkqb6mXvlQyEwbFm9PMGpvK9Tuq4VFYc9721a1vnr6PrfX0wj7Tr8ZfcsJLN/FG+t/nHoCWbONUT0YsoANJ7D0eJyerJENC73WeQYWTSxp6WJhPslJYLmIEkJmFLUovFaMaZBhedti0S8HDhzBoEFP45tv5iEsLAzXrl3DkCED8dRTz6JNm7ZeJbB27dqBCRPG4733PkJcXB2FIJo7dzZWr16Jr776DgEBt75cmdM333wzEyEhwejb90ndBJbWeHLJ9e59P6ZP/wIVK2YTellZWRg8+Bl0736fQoT1798br732FurWzaaGJk/+EMHBwRg6lBzaU7+MrAdaCKzRgiC0BBAvCMJUWZaflmV5QUJCwnvqXfKtBCewfIu/p1pnaTLVghG3VwtKxVPGjL7lBJZ/xarZYlAv+hyfghFjARtOYOkdEXTkjWxY6LScrYWV/QELYzA/0kdvRgnN2KChi/uFBorZOq5mOnApPRPlywQjwGIpkmKXX7Zu3YVRo17C559/7c6ySkw8gqCgIFSpUtVNYJFsopEjh2L06NfQpElTfPfd11ixYrmSJdW8eUu88MIwJdtq3rzvsHjxIoSHl0WpUmEKkUMysBYu/BHLl/+OzMzrSr/ffnsCatWqncuGYcMGoVu3Hsp/Oa/TeY9SAAAgAElEQVTnnnsSjzzSD126dMWCBfOxaNHPSs3n+PjmuO++BzBixIvKz88+OwgtWrTCBx+8i/T0K0hOPo+OHbsofXvmmccxcuQYN7H0yCP345NPPlcIs2eeeV7J9CJkU2LiYaSmpqBq1eqYMGGSQj7lvLIz0r5AVFQl5ddE9sUXn8Nzzw1Ghw6dce+9nTB+/AQ0a9bCff/06VPudtWcZmQ9UCWwSKM2m62/LMs9BUEg36BcZrfbZ6l1xh/us7JAacGSpclSzV4z2Uqw4PaqRUTxvW9G33ICy7/i1WwxqBd9jk/BiLGADSew9I4IOvJGNix0Ws7Wwsr+gIUx6PIrt4VmhNPT5Uu/JJ5Jw6cL9igEFvmK43M96iGidG5yRY+lOW2ZNOlDLFmyCLGxNoWc6tz5HsTGioo6QtiMG/cOJk/+ACNGvILGjeOxZcuf+OabLzF9+kwlK+r110ejefM7UadOPbz77jjMmjVX2a8NHDgA7dt3RJ8+j2Ls2NH46KOpCiFEjgimpaVh+PBRubrcpUtbJdOqRo2auX7/2WefKJlOXbt2x1tvjcWsWXMQGloKr776Mvr27Y/du3e4M7DmzZurHDckGVFXr6bjoYe646effsWKFctw6tRJDBs2Env3/o2ZM2co/R869HmFwCLk28qVf2DUqFeVtgmZ1qtXH7Rr1yFXXwge5DigxWJVyKvIyPJKW716PaLILVu2BFOmTERERHk0aRKPNm3aoVUr7TXYjKwHmggsPcHhT7KsLFBaMPXlBKOlfzRlzGQrJ7BoRo7/6TJjLHMCy7/i0GwxqBd9jg8nsPTGDJG/dDwF41qORJs2zZn44pURDAp7xsiGhWYfWNkfsDQ/cVtoRjg9Xb7yi1OWMWn+37AfTXUb06+LiC7xVQ0bl9eW5ORkbN++FVu3bsaff27AG2+MR/v2nRQCKzMzUyG0Jk/+VGmPEEoVKlRE7959lZ83bVqvEDf16zfChQvJGDJkuPL72bO/Uo4Bkgys1NRUbNmyCcePH8O2bZsVsmzs2Ddz9Z8QWF988TVq147J9fuPP54MUk6HtHn+/PnbjuPlPUJIjiLa7QeVbKrVq1dg3ryFSn0qksm1YMGvCsFE2u/Z8wE3gXXHHU1AMs92796JY8eSsGHDOgwc+IJCmuW8CB6E+CJHCNevX4tp06bgs8++dB8pJLIZGRnYsWMbSD0vUl+sU6cuGD58tCZfGVkPCiSwRFFMIBN8QS0nJCRk05R+fLGyQGmB2FcTjJa+0ZYxk60EO24v7QjyH31m9C0nsPwn/sw4v+hF32xjVA8+LGDDM7D0eJyerJENC73WeQYWTSxp6WJhPnFhwW0pelTccMp4/YstSL50za3s/ra1cX+r3JlKelpy+WXx4mXIyLiGjh07ux//7bdF2LhxvZIxRQgbcgRvzpzZSl2stm3bY9q0qcoROheBtXHjOixduljJzjp37iyGDn1Z0UXqV924cUPJUHrxxYHo3bsPbLa6kKSDSEiwK7Wicl7Dh7+gkGakllTO69lnn1CyuC5evIizZ8+4CbKUlAsICAjEwoXz3RlYn346Vcm06tr1XsTEiApBNWPGLOV4JMnY6t27Hz744B18++0PShaXKwOLFGP/8svP0bfvY4iJicX333+HFi3uvO04Y96i9pMmTcCJEyfwySczcOLEcYUwe/LJZ9zdJ78bMOBRrFy5UZN7jKwHBRJYMTEx7Qpr9dChQ+u19EoUxZdlWR4gCALhk7ZXqVLl+bNnz8Y5HI4vAZQBsO/q1atPnjhxIsNms4XJsjwHQCyAKw6H47HDpLR99pcPTwA4l6PNnpIknSysD5zA0uKhWzJFKbyu9qzafT09ZWlh0GI3t1cLSsVTxoy+5QSWf8Wq2WJQL/ocn4IRYwEbTmDpHRF05I1sWOi0nK2Flf0BC2PQ5VduS9EjPCjIisxMR9EV5dDgS79s/vcsvlq8X+lNgFXAq483Re2oMMP2uWxZsWItJk6cgI8/nqGQPCRfZ/p0ctSvhJKB5CJsLl5MwWuvjcacOT9iz56/leyqadP+C6s1AOPGjUGjRo2VmlTk3+SIX2BgkEIOtWzZSsmo+vXX/2HKlGlKNtfYsaMQHh6uZHnlvP75Zw/eeus1pfYU+bIf6Qv5kiEh08jRQpJRNX78OHz55bfKUcQxY0agR48HcPToEQQECHjssafxxBP9lDpd9es3AMnEIqTY/Pm/oHLlKli7Nvtri6S21zvvfKA07SKw1q1bg4iISDz++FNK7SySrUVqahHyLeeVl8AimWV9+z6gHLO844549Ov3kKKbkHnkIplcP/zwnVJjTMtlZD3QdIQwNja2jiAInWRZzgSwKiEh4YiWDomi2AzAV5mZmS2SkpKuiaL4rSAIu2VZfpLgJ0nSJlEUiScDJUl6LTY2dqrFYkmx2+3v2my2DrIsvydJUuuYmJiqFovlN/IVRC3tumRYWaC02FyUCeaqIx3bzu3E3nP70bBCPbSoEI8Qa6hqs4SUunLjSqHPEt37Lh7AtpM7Ub98Hc26C2u8KLaqGuWHAtxeP3QKpS6Z0becwKIUPJTUmC0G9cLG8SkYMRaw4QSW3hFBR97IhoVOy9laWNkfsDAGXX5l1Ra1rxDSeMF//sZZbD29AwkXkhAbURMtKzVF+cCKVIaML/3icMo4dOoyki9loGal0qhSLqRINuW0ZdmypUrxdYcjm/Br1qylkuVE6luRr+5lFy2PwscfT8L169cxZswb+PbbWVi16g84nU40bdpcqS1FCrr/8svP+PHHeShTpoxyrI4Uau/X73GMHTtSOf5HisOTwu5HjhzCjBlf3WYDqU9FMqEuXkxV6l6Ro32DBw9T6lqRixBh//vfTwq51bJlayU7bN++PXj//bfx0EOPoFy5CKW+VVhYaYUku3TpkkLEkT6SbLD77++qEGeuulSk1tXTTw9U9I8f/4ZCyJE+li9fAdWr11CKs+e8cuLh+j0paL98+VLMmfOTkl1GjlieP38OgYGBqFatBkaMGK0cf9RyGVkPVAksURQfBzAVwBpBECyyLLcTBOFZu93+q1qnoqOjY6xWayVJkpQcMlEURwqCUI/okCQpmvwuOjq6mtVqXStJUowoioccDkeHw4cPH78pf8jpdLa3WCyECCNfPbwAoCSACZIk/aLWPisLlJqd5H5RJpjtF3Zgzt6f4ZCdSlMP1+mBDpXaupvNO7lez3Li70PnIR2/hIjYE1h6ZLlbNuezhLxac2oD7MmHUSmsIpKvXkCD8nVz6dZiW16ZothqpD1fP8Pt9bUHPNe+GX3LCSzPxZMRzWaLQb0YcXwKRowFbDiBpXdE0JE3smGh03K2Flb2ByyMQZdfWbPFGhSIZZsTsVs6j8ZiebSqH4XQ4AB3GBtNHshvHPx2bCmW5zgY1TWmHXpWz13HyOj4Yc0vkZFhTNQlZM0vevcGWgisvQ6Ho7uLVKpTp06sw+H4WZKkRnoGQ3R0dAWr1bpNEITPZVnuIUmSiyGxiqKYLklSCVEUMyRJIqk/CpMiiuJGp9M52mKx1BAEId5ut78aFxdX3el0brBYLJ0PHjwoFdYHVhYoLTgbCeSLWSnYfGY7Dp4/hKiwCgrBZE8+AjGiFkY0fuG27KrG5etDunQYp6+cxZHUY2hauSF2ntqLhJQkdxddzzqdMtad3oAFB5a477Wu3gwpV1Mw7I5BIPeNXkZsNdqWPzzH7fUHL3imD2b0rd5FihbyZloP9GBmthjUgw2R5fhwAktvzBB5XsS9cNQ4gWUkqm5/hqX5iTVbVv99CnOXHXQ7LW8B8lWn1uCXg7cSAB6M64rOlTvqDgxybPCjv6bl2ovFlquJV5oPpXKckDW/cAJLd4h5/AEj64EqgWWz2Xba7fbsQ403L1EUd0mS1ESrRXFxcTWdTidhMuY6nc71FotlYh4CK02SpBBRFK9LkkQyrNwEFoCRkiT9lbOt2NjYjwVBOCRJ0nQ1AuvChTQUXIpeqwX+L0ecHxERBj32/nZsGZYlrM1FMG09sQsP2bqhQ+W2WHsqNwHVQ+yEi9cuY9Ox7bBF1kaF0EgEWAKwNnGzW0dvkr1VuS0CAiyYvOMzSBcS3fdqh1dH2+ot0TyyaZEANWJrkRr08cPcXh87wIPNm9G3kZGlVdcdT0BOCCw986Mn+uCPOs0Wg3p9wPEpGDEWsCEZWO9u/Q/KVCunNzQKlScE1pt3jkTr1s11/V1GtRN+rCx7U+ybtYDAwsp6wMIYdIUpS7ZYrQImzNmFQycuIrJsSZxPzUBstbIY27+J8gKfnGz5z87PbiOdRsa/aOgF/69Hl+KPHBlY98S0w/016GVg6d1f+uvUw1KMsWaL3vWgwI2EzWarfHOSf0uW5eMlSpT4LD093RkQEPCMIAiV7Ha7pm8jxsbG3iEIAiGvyLG/GTmPDBL9pL6VIAhryFcNRVE8DKCtqzg7OVIoCEJbp9N5p9VqlQ4ePPgPeUYUxU9lWf43ISHhv2oElr8OIn/o19gVH+Jw6lF3V6LDa6B9zTvRvNodCC9ZBm+sngQp+Va5s2aVGyEl4yKSLp1Ay6pN8OdNIisyJAJnr5xD9TJV0TO2KzbtvIDdB8/B1vwCliX+4dZ/b2xH3F/nbkU3vzgCHAFzIiCQghA+uAr7qq4PusOb5AhwBPwAgf379+PlZe94hMCa0u1N1KtXzw+s9M8u+GotcBFY/okK7xUrCPy0yo5jZ9Jw8nw6qpQPRfWoMDzS2eY276sdP2DF4Q3un++Obotnm/YzZP70LbPhgBOn084qJVussGDInU8Z0sUf4gj4AgG960GBGwlRFEkWFDnnlZ+MLEmSVc3AmJiY8haLZS+AwZIkLXLJi6K4B8AQUhtLFMU3ZVkOT0hIGGGz2T4BkEyKuMfFxbV3Op1TSeF2URRfBdBYkqQ+derUqeRwOLY4HI67XMcaC+oHK29Y1HAm9/UysYT9/9/hpVhxZJ1bfdfojnigdjc3+583A6t7bEdcup6GhAuJCA0KUY4RkstqsaJxVD00KF8HF49WxLwV2Sc768aGwtb4Co6kSWhUUXtxeDV79dqqps/f73N7/d1DxvtnRt/qfctiHN3cT5ppPdCDmdliUA82RtZWvfqLszwLscMzsHwTgTwDiw7uLIxBFxIs2UIysOavOYzfN98qsXJvq5ro0yHanYH1g7QQWbLDTToFCFb0E3sZzsBadWQTIkuGI/lqCjpH38UzsPIZYizFGGu26N0bePRNuM1me0+W5eEACKNB2pIFQVjqcDh+sFqtX8myTMrrJwqC8Kjdbk+rXbt2mcDAwFlOp9MmCMI1i8XyNMm6qlu3blBWVtYXAJqTeJRl+c2EhISFatO/mWqeGDmj/Pepo0i8vg+JF5NQq2xN1Aqujzsq13DDmrfAoKsG1pn0c8h03Mh1dLBbbAd0qtoO0+bbcfBoqltHvVrlMOaxJsjKyi4QT+MyYiuNdn2lg9vrK+Q9364ZfctrYHk+rvS0YLYY1IONi8BipWaGXtvV5FmIHV7EXc3LnrlvpOYJzZ6wsj9gYQzmJLBYmWsJgfX+nJ2Qjl10h61YvSxe6x/vJqhIDazF0ko36XSf7W5DNbBIA6cyT2DHmT04dCEJMRE10TSqESoHVaUyZHiMUYGRuhLW/KJ3b6BKYMXHxwempaX1AFCKkFCyLFsFQYiVJOk16t6grJCVBUoLLEYCOf16Fv769wxSrmSibKkgtKyb+wsZrnbzfoWQ/JzuSMe2Mzuw59x+NKpQD80rxCPEGoqVO0/gh5W3auvnLVqoxRY1GSO2qun05/vcXn/2TtH6Zkbf6l2kiobwrafNtB7owcxsMagHG05gFY4WC7HDCSy9I4KOPCew6OHICunDwnySk4xbuesk5v1hdzu6T2cR9zS9RSrR/Aqhq5GSJQORkXGDTnDd1MKaX/h4oRoeVJQZWQ9UCSybzfazLMt1AVQQBGGfLMtNSc0qu91+H5Vee1CJmTYsRZlg8hJUelyS91lCim3ed6bAz8bq0V2QbFFspdG+t3Vwe72NuPfaM6NvOYHlvfjS0pLZYlALJjllOD4FI8YCNpzA0jsi6Mgb2bDQaTlbCyv7AxbGYE7ShyVywRoUiGWbE1X3Q0XZg9EcE2bYc/Hx4o2I0d+GkfVAlcASRTEpLCws9vLly/+1WCwfORyOEIvFMlmSpE76u+jdJ1hZoLSg5m+D0pMTsr/ZqsU/RZHh9hYFPf9+1oy+5QSWf8Wk2WJQL/ocH05g6Y0ZIk++Qjiu5Ui0adMcycnm+Bq2HpyMbFj06FeTZWV/wNL8xKot5Ls15MuDxfVi1S9r1qzC3LnfwuFwEEIb99xzLx599HHFTb1734dp02YiKipKt9u+/nomiM8HDHhO87M7dvyFWbO+wOXLl2C1WtGgQSM8//wQlC5NKi3lf23evBGpqefQo0cvyDrDa+LE9/HAA71gs8Vp6uPhw4fw6af/waVLl+B0OlCvXkO89NJIlChRQtPzakIkxlq3bjoQwGVJkn5Ukyf3VQksm8222W63t7LZbGOcTuchUntKFMW/JElS6lH588XKAqUFY5YmGDV7zWSrMkiVz02HmeaPYDPZayZbXbHMCSy1Gc67980Wg3rR5fgUjBgL2PAMLL0jgo48J7Do4cjK34cszCcur3Jb6MQ3bS0uvxw4cASDBj2Nb76Zh7CwMFy7dg1DhgzEU089izZt2nqVwNq1awcmTBiP9977CHFxdRQybe7c2Vi9eiW++uo7BAQE5AvDN9/MREhIMPr2fVI3gaUX1/79e+O1195C3br1lUcnT/4QwcHBGDp0hF5V+crfJLBmA1grSdJ3WpRqIbDWORyOCQCCrVbrg5mZmWMDAwO3SpJUS0sDvpThBJYv0fdc2ywtDFpQ4vZqQal4ypjRt5zA8q9YNVsM6kWf48MJLL0xQ+R5BlbhqHECy0hU3f4MS/MTt4VOTNDW4ku/ZN1w4ETiRaRdykCFyqWV/0h/jF4uW7Zu3YVRo17C559/7c6ySkw8gqCgIFSpUtVNYJFso5Ejh2L06NfQpElTfPfd11ixYrmSJdW8eUu88MIwJdtq3rzvsHjxIoSHl0WpUmEK0UMysBYu/BHLl/+OzMzrSpfffnsCatWqnav7w4YNQrduPZT/cl7PPfckHnmkH7p06YoFC+Zj0aKfYbFYEB/fHPfd9wBGjHhR+fnZZwehRYtW+OCDd5GefgXJyefRsWMXpW/PPPM4Ro4c4yaeHnnkfnzyyecKYfbMM88rmV6EjEpMPIzU1BRUrVodEyZMUsipnNe993bC+PET0KxZC+XXRPb06VOK3nPnzir6UlIuKM+NHPkq4uLqYunSxfjxx+8hCBYl0+vll8coGVt33dUMGzduV/Ts3r0TJGPt8ccH4OWXh6QASBMEYZDdbl+u5mPVMBBFkWRavVC5cuVnT58+vUGW5ZYAlkmS1F1Nua/vcwLL1x7wTPu+nEw9Y5H6H3qsvGHTgp+Z/GsmW4nvfblpMdN6oGWcuWTMFoN6sHHFrJnmXz34sBA7PANLj8fpyfpyLSBWsLIesDAGWVyLuF/ozBX7d57EhpUJbmUPPNYYlaqVMaw8p18mTfoQS5YsQmysTSGnOne+B7GxoqKbHCEcN+4dTJ78AUaMeAWNG8djy5Y/8c03X2L69JlKVtTrr49G8+Z3ok6denj33XGYNWuu8jfuwIED0L59R/Tp8yjGjh2Njz6aqhA75IhgWloahg8flav/Xbq0VTKtatSomev3n332CbKystC1a3e89dZYzJo1B6GhpfDqqy+jb9/+2L17hzsDa968ucpxw+7d78PVq+l46KHu+OmnX7FixTKcOnUSw4aNxN69f2PmzBlK/4cOfV4hsAj5tnLlHxg16lWlbUKm9erVB+3adcjVl2XLlmDKlImIiCiPJk3i0aZNO7Rq1UaRIf0hxBZ57u+/d+H777/F4MFDMXbsKHz55XdKv8izJUqUVEi1tm2bY8OGv9wEFsF02rT/kiOEdDKw6tSpU8npdApOp/MPi8Vyj8sSWZbLA1goSVKM4Qjy0oOsLFBa4GJpslSz10y2mnEDZSb/mslWTmCpzWy+uW+2GNSLMsenYMRYwIYTWHpHBB15TmDRw5EVgp2F+YSTcXTimmhxOpyY+/lWpF/JdCtt1qYmmrbJTfToaTFvjCUnJ2P79q3YunUz/vxzA954Yzzat++kEFiZmZkKoTV58qdKE4RQqlChInr37qv8vGnTehBip379RrhwIRlDhgxXfj979lfKMUCSgZWamootWzbh+PFj2LZts0KWjR37Zq4uEwLriy++Ru3auWmVjz+eDFJPmrR5/vz5247r5T1CSI4i2u0HlWyq1atXYN68hQgOLgGSybVgwa8KiUTa79nzATeBdccdTUAyz0gm1LFjSdiwYR0GDnxBIc3yXhkZGdixYxtIvS5SP6xTp7sVMu7uu9th0aLfERIS6n5k4cKfcOrUCQwd+rLyu0OHEvDBB+8oJFzeDCzqBJYoissAuIgrUh6MZGuR/ztuElj99ASNL2Q5gWUMda0F2AuT06rDSA9ZWuS02M/t1YJS8ZQxo2/5EUL/ilWzxaBe9Dk+nMDSGzNEnh8hLBw1TmAZiarbn2FpfjKrLTT3SwEBFmRlOekE100tvvOLjD/+tx9HpGS3Pe272lDnjkqG7XPZsnjxMmRkXEPHjp3dun77bRE2blyvZEwRAotkC82ZM1upi9W2bXtMm/Z/9t49vq6iXB9/907S0qbpNb3fm2QlpQUspRehAkUQUPSId8QbfsWjot+vyA/0qOARikfhIF7RI3A8HvHCUeSoYIUiRVCglBahLW1W0ntLb2maNm1a2mTv32d22Jsk3XvPzMo7a6098+Qfpetd78zzvM/M7Hn2rLXvpHHjxucMrKeeeiLzmJw4nSUeo8uaNeL9VSdOnMichrrmmk/Se9/7fqqvP5V8fwM1NTVm3iXV8+/zn/9MxjQTL1Xv+feJT3wkc4qrra2N9uzZnTPIxKN65eUV9MADv86dwPre9+7MnLS65JK3Um2tlzGo7rrr3szjkeKE1Hvfe0XGQPrZz36VOcWVPYF1+PBhuvvuH9EHPnAl1dbW0S9+8d+0YMEbez3OuGPH9owh9tGP/p9c98S/XXXVlbRs2ZN06aUX0AMPPESDBw/OXBeG2KpVz2UeMcxy0tTk05IlX8u039PAEuah4Jj1BFa2l3V1dfc1NTV9KLBaIrwRBtbJ5BebKDu6jtDKfatp26EdNLlqEi0YN5cGJboF2fNPxL18cAM17m+iiUMm0vwxZ9LgssqMU3z4xGFasXcVvbR3HZ0+ZhYtGDM3c43zL7rJlBOFei7gVeeq1CJdrC0MrHip1DUN6rIPfgozZgM3OIGlOyJ44mFg8fGIE1g8XHJm6Tk3FvoVQrGX4tovtXW20sq9qyiZKKcTnZ20cPxcGl4+sl+QsvvFKOf5g61H6YmljfTKjjaa/YYJNO9N0+mUwRWBcWWxPProcvrWt75B3/nOXRmTR5yY+sEPxKN+p2ROIGV/hbCtrZW+/OXr6ec/v59efPEfmdNVwmwpKyunG2/8Ip1xxpzMO6nE/xeniyoqBmTMoYULz86cqPr9739H3/729zOnucQjdSNGjMic8ur5t2bNi/S1r3058+4p8e4o0RfxXihhpolHC8WJqq9//Ua6++6fZR5F/OIXr6XLLnsnbd26icrLE3TllR+nj3zkisx7umbPPo3ESSxhiv361w/ShAkTafny7l9bFO/2uvnmf8s0nTWwnnjicRo1qpo+/OGPZd6dJU5riXdqCfMt+ydMriuueFfmXmHWiT9xUutXv/rvzDvExKOU4h1c73jH5bR27Ut0++3/Rl/72i30pS9dl+n/0KHDMqe/ksmyzImtt7/9LXTnnT/MGGbi1xB37tyeNbDuSSQSzzY2Nt6rUmDpO7BUksQ1BgZWd2VUjaV/HPwHvbyviXa176HxVWNpcuUkqmibQafNGEWVA8tzeZ7Y9TdqbGmmqcMn0dghY2hoRSW1dLRlTKvakdNo44Gt1NiyKdP2e2ZeRovHn5uTCMc3DVFOplFoHXijYD2cNl2sLQyscLSl2oprGlTlJRsHfmBg6WpGxOMEVnHWYGAFUdXJ99g0P4WFhWMfIquewFI2oIKWPr2ZXvD30RxvNJ09e1xmL5X9e3zXE/TA+j/l/vvdM99KF4w/X5Y67/W17Wto28FX6HjncSpPltO0EZNodtVpgXL1NdYWjp1LU8aOi+yX0NOpNJ043kUDTsn/a3w6IHtqbOnShzMvX+/qEg+WEc2btzBzykm83+q97/0n+v73/yNjbn3nO7fTq6++Sl/84lfpZz+7lx577BFKpVJ01lnzM++WEi90f/DB39L99/+Shg0bRmPHjsu8qP2KKz5M//Iv12Ue/xMvhxcvPN+0qZnuuuuek7os3k8lTkK1tR3IvPdKPNr36U//38z7o8SfMMJ+97v/yZhbCxeekzkdtnbti3Trrf9K73rX+2jkyFGZ91tVVQ3NmGQHDx7MGHGij+I02D/90yUZ4yz73irxrquPf/yTmfxf//pXM4ac6OPo0WNoypSpdPXVn+7Vx/Xr12Ueody3by9VVFTQ5MlT6dprr3/t8ca99K1vLck8RjlgwMCMkSbMqYce+j395je/yvArHl28/vp/yTxm+Oc/P0z33vuTTD+F0SfemyVMwUWL5r03nU5/K5FIfKmxsfE3srrCwJIxVCLX80382Ulo3b71NH3EFPpT0/Icmp7GUubkVctq2texn5ZvfjoXc8H0s6k8MYBGDhxFJ+gord/nk0dT6LnnV9KkSROpqmYUbW3fQTUjp9GWtu050+qcKfPo2R2rqSvVRd6o6XTtnM+wnswKa5GLS+mBNy6V4O+Hi7WFgcWvo/5kdE2DulyBHxhYupqBgSVnDAaWnCOVCMgOTg8AACAASURBVJvmJ9NYjrzaSU+v3V3QUFLhWzVGYPnLP16h+5ZuyN1yxUUeXTR3Uua/hYn27dU/pKbWLbnrdSOn0RfOvIZSKfG2HvU/8djgs3ufox3tu2hT6zaaMXIKTaoaT2dUn0YVqd6/JqeSdfmuJ+m36x/Khb535mX03tPfFqKBlaY1a16gTZs20cyZM8nzZql0WynGtMaUOsEUZBsW3b0BDCwmIUWdJp+Qs5PQ2MpqqhwwmDYd2JbrZk9j6fFXnqTVr6w5KUacpho1aDgNPaWKlm18iuYlZtKST95Ehw4ezOS54Rtfpm01bdSVTlFP02rGiCl05HgH7TnSkjuB1XdC7HsyS4c/mwatCm7gVWGpNGNcrK3uIsVVWZdO5Opw5poGdbgRseCnMGM2cINHCHVHBE88DCw+HvEIoRqXy1btoF8t8/MaSmoZ1KPKyhL0zftW0/qtB3I3NUwdQV+68syMQSUMrD9s/RMt7XGw4NK6xfSOqW/VNrAGDaqgX294kB7d+GSurbfUnEsLx7+Bxg7oNsxU/0S/7nzhLvL3b+61X1xy4Q2hGVjLlj1MH/rQBzOnjcSpoN/+9kFauPBNqhCKxtmwZmUB2oZFd28AA4tlSESfpK+Qe05CZYkkLZw8l/6+bWWuo1kD6bn9z9NT256lrW07TooRptSm1q00qOKUjPk14vkE/eTff5TLMWrUKPr0f11PjUe2UE/T6qKaN9GWAzto6uBauqTuHKosq8w7IYqTWbrfNLi4obBpklIZKS7hdQlrduzqLlIqmlGJgYGVnyXXNKiilZ4x4AcGlq5mRDweISzOGgysIKo6+R6b5ieTWMSe6Ju/WE0bChhKPNV4PYvKCazHdj5Ou4+05F7bMq6ymi6ceIH2vkgYWLc+/Z3M61uyfzUjptLiaWfT3FHdhpnOX7QnsNL0jndcTM8++2yuyx/72Mfp9tu/Q2k9GHkhm9SYDsccsbZh0d0bwMDiUFEMcuQT8hO7nqTfvHYMtL56Bk0ZNjFzvPTMcafR/DFzaUjFEPruP35MowaPzJhbIqZ68Cjac3gfTR42gV5p303N+7fkjK3qf5TTj775gxzaqdOn0Qe+ezVt6thOl9SeR82tW2nskNG0v+MATRtUT4MP19Cb53S7/ziBFVwkNk1SKiy4hNclrDCwVNQffoxrGtRlGPzAwNLVDAwsOWMwsOQcqUTYND+ZxhLmCSyBpdg7sIShdsfqH9Lmtu1UPWgEtXS0Zl71cl2ARwgHDCijB5r/SH9ufiInmUtqz6dJQybQnJFvUJFRr5ho34GVpg9/+H30yCOP5Pp0zTWfpa997RvaOPLdYFpjLJ1UTGIbFhhYPQrv0jfu+YQsJiHxeGBjy8bMS9kPHD1A8yacSfNHnZVjSRhLa/a9nDGuxMvbZ46uo2lDJ1FjazM9tunvmThhbM0YMZUO7Wyl//jS92j9y+szv4Rw50++RzsntGV+bXDO6NnU2LYx8+6riadMp0nlDXTa5Am5FxZy/tqGTYNWZZ4CXhWWSjPGxdrqLlJclXVpPdDhzDUN6nCTNV1teURHF7ss3gbt4BFCWZXNXIeBxcOrDWMwy4RpLGG/Ayu7bhT6FULOl7hvOPwy+a2bM4cOakdNo7qR02nqoKn9+hX4qH6FcOXKp+mKK95Hhw4dogkTJtAvf3k/nXrqGSwDxrTGWDqpmMQ2LLp7A5zAUhRK3MMKCVkYR2vb1tOKnato9uiZtGDM3F4TWs8Xvc+fOJdmD5+Zgbq27WXafugV2n7wFTp97ExaOGZe5sTWwYMHyPc3ZH55YPLk6ZnnuHseTxX/Lf4KHVnl+PUPmwatiq6AV4Wl0oxxsba6ixRXZWFg5WfSNQ3q6gn8FGbMBm5gYOmOCJ54GFh8PNpisIc1n3DsQ2TVU8HC+cX+vhN76B/7XqKhA4dSW8chOnPc6TS6Yqysm0rXVbAoJdII2r17J23fvpVmzKilUaPGaNxZPDQKLGyd75PINiy6ewMYWKaUFXJemZBlE3a+6zIzKmSIueZkWKPql6l2gdcUs9HndbG2uosUV5VgYMHACqIl18aoDkc2cAMDS6fifLEwsHi4tGEMZplwFYtsf6ajFPE44fHjXTq3SGNdrYuUmIgDbKuL7t4ABlbEAuRq3iYhyzhxCavgAnhliijd6y7WVneR4qouDCwYWEG05NoY1eHIBm5gYOlUnC8WBhYPlzaMQdcNLB4lmMsCjZnjtj+ZbauL7t4ABlZ/1BOje20SsoxWl7DCwJKpobSvu6hl3UWKq8IwsGBgBdGSa2NUhyMbuIGBpVNxvlgYWDxc2jAGYWDxaMFUFmjMFLP9y2tbXXT3BjCw+qef2Nxtk5BlpLqEFQaWTA2lfd1FLesuUlwVhoEFAyuIllwbozocmeKms7OTfvrTe3S6ohR71VWfoPLy8l6xMLCUqGMPgoHFQ6mpMcjTO70swKLHV1jRqEtYTOu1Y1tddPcGMLD09BLbaJuELCPZJawwsGRqKO3rLmpZd5HiqjAMLBhYQbTk2hjV4cgUN8JUuvqOT9Gg4YN1ulM09mhbB9193Y+poaH7h2qyfzCw2CjWSgQDS4uugsGmxiBP7/SyAIseX2FFoy5hMa3Xjm110d0bwMDS00tso00Jubw8SZ2dqVjhNoU1ViB7dAZ441qZ/vfLxdrqLlL9Z7k7AwwsGFhBtOTaGNXhyBQ3Jkylg9tb6asLroOBpVNgg7EwsHjINTUGeXqnl8VVLJwvcefMla2eq3XRU2/40bbVRXdvAAMrfM0ZaZFbyG2drfT3XSuosWUTedUzaNH4BTS8fGSu79lJ0sRkKSOIG6usvaivA2/UFTDXvou11V2kuNiHgQUDK4iWXBujOhyZ4gYGlk4VSjMWBhZP3UyNQZ7e6WWxFUsikaBUKn0SGR1dR2jlvtW07dAOmlw1ieaPOZMGl1XqkfZatMi1Yu8qemnvOjp9zCxaMGZu4Fx9O2BrXdInlyQQ91HdZFtddPcGMLCiUh5zu/0Vcs+TVkde7aS/7H6Unty6guZOmEWrdr5E5884hy6bfCllJ8mWoy00qGIQNbduoTOYJ0sZNf3FKssft+vAG7eK8PXHxdrqLlJcbMPAgoEVREuujVEdjkxxAwNLpwqlGQsDi6dupsYgT+/0stiGpWxABT3yzGbasrudpo6rojfOGkeVA19/B99z+1fSloM7qCJZRidSJ2jasCk0f9Q8PdJei3581xP0v42PUPWgEdTS0UrvbLiELhh/fqBcMLBYaDOexLbxors3gIFlXGLhNJBPyMVOR2WvHXj1EP1t50pqavOpbrhHb5o0j7buOEHHhjVTx4mj9OLu9TRj5GQaU1lNi8aeTcu2P0EPNi6lhZPOpL9vW5kD956Zl9Hi8eeGAtamQatCGPCqsFSaMS7WVneR4qosDCwYWEG05NoY1eHIFDdhGljr1q2hrzx8Mw0ZO0wHujT28J6D9I3LbqLzzjubWlraqdS/7ZcC1gyAgaVJWIFwU2OQp3d6WcLCEsaTIwLLMxv2UeOWVtq57whNHF1J3uTh9MZTx2ZIEX1Y0fIc7Tq8l1o72mjE4GE0YchYWlA9P+9prWJMily/bnqAOtNdtKt9D42vGkvliTL6QN27tXPlayesuuipJVg0sATjzfRdQdYDGFimqxJS/p6D8vCxTnp67W56wd9Hc7zRdPbs113/nsdM3zB2Nh159Tg9vPGRXC/fMuUtRAcmUWLsRmravzkzEbZ07KdpwyfTO6ddRne+cBcdPNZOlQMG06YD23L3eaOm07VzPsMyWcoos2kCkmEV14FXhaXSjHGxtjCw4qVV1zSoyz74KcyYKW7CNLDWrl1Dn7v5pzRo6GhdaRSNP3poH/3ga1fR+efDwCq0KY5qLRD9seULDVNjkHUwKCYzjUU8XVJob6TYReWwsrIE3besiZY99/o+6aL5U+jKC+sy+yRhOi3f9Vfa2b4nZzpNrBpLi8efp72PErke3PxHenTjk6/v5WrOpcunv107Fwws5RJHHmh6vIQJEAZWH7ZtWaBURNRTyI8+v4N+tczP3XbFRR5dNHdS5r+X73qSfrv+ocz/H1tZTVUDhlDzgS252LoRNTSz2qM/NC3N/ds5U+bRvsMtdP38z9IjW5fTgxv+RAsnz8UJLJXCMMTYNEmp0OESXpewZs3YqDYtLq0HKuMsG+OaBnW4yWq2uroKp2jyEGdKO2EaWKKtG+9ZQVXVU3SlUTS+vWUbLbl6AS1aNB/aKaCdqNYCGFisUmdLZmo+yXZw2arCeyM2EK8lEgbWrT9fRf62tlxqb8pw+vKH5mZMpQEDyuiXjQ/Q8s1P564vnn42fbD+3XT8eJdWd4SB9e3VP6Sm1h57uZHT6AtnXgMDqw+TpjWmVbh+BtuGRXc9wAmsfgooLrdnhdzaepj+7b7VtGHrgVzXGqaOoC9deWbmv8UJKn//5sz/L0sk6dxpC3tNoJfXvpNeanmRNrZ1x4i/GSOm0Nzxp9H5487DO7AiKLhNk5QKfS7hdQlr1gzQXaRUNKMSAwMrP0uuaVBFKz1jwE9hxkxxAwNLV6WlFx/kG3dOlLasB6bGICfXqrlMYhEmzzd/kX9vlO8F66p9LhQnDKz7l2+kPz39uqn01rOn0fvOr8mYSuK9w7c//4PMe4Szf7Ujp9H1Z3020C+/i3dgPbD+T7lc7575VrwDK09xTGqsv5rRvd82LLp7AxhYuoqJaXyQE1gCykfOeA/tO9RO/gGfplfV0vHdE+nEsC30TMsTOaQX155Hbxx/Fo2u6H52W/zhVwjDE4JNk5QKay7hdQkrDCwV9Ycf45oGdRkGPzCwdDUj4nECqzhrMLCCqOrke2yan0xjCfMElsBS7B1YopKP7HyU/tD4WK6o76i/kC6e+JZAwsCvEKrRZlpjar3gibINCwysHrqw5RsWFan3FLLqO7B6/tRqZ5ror//YQas27KNz542ijsGbac2+l+mMsbNo/mi+n2NVwSKLsWnQyrBmN/0uPcLiUn1dwgoDS2W0hx/jmgZ1GQY/MLB0NQMDS84YDCw5RyoRNs1PprGE+Q4sgUX2K4Rtna30913Pkb9/E3mjZtA54+fT8PKRKmUvGGPiBfWm69IvwJo3A4smYSGFB1kPcAIrpOKYbibfoFT5FcK+/ep5j4mJkIMHmyYgFT6AV4Wl0oxxsba637JwVdalLzR0OHNNgzrcuPgFgg4/prSDRwh1qlCasUE2LJxIbVkPTI1BTq5Vc4WFJYy9TU8siUSi6LuoxOOEnZ0pVZpCjwurLmEAA5YwWNZvI8h6AANLn+dY3mHToJQR7BJWFzdQLtXXJaxZLcPAks1w4V53TYO67IKfwoyZ4gYGlq5KSy8+yIaFEyUMLE42eXKZmk94eqeXBVj0+AorGnUJi2m9doKsBzCw9DiObbRNg1JGsktYYWDJ1FDa113UMgyseGnWNQ3qsg9+YGDpakbE4x1YxVkLsmEJUodC98DA4mSTJ5dNcy2w8GiCOwvqws0oT74g6wEMLB7uI89i06CUkekSVhhYMjWU9nUXtQwDK16adU2DuuyDHxhYupqBgSVnLMiGRZ5VPQIGljpXYUXaNNcCS1iq0WsHddHjK6zoIOsBDKywqmO4HZsGpYwql7DCwJKpobSvu6hlGFjx0qxrGtRlH/zAwNLVDAwsOWNBNizyrOoRMLDUuQor0qa5FljCUo1eO6iLHl9hRQdZD2BghVUdw+30Z1CG8UJDTvj9wcrZj7ByAW9YTIffjou1hYEVvs6KteiaBnXZBz8wsHQ1AwNLzliQDYs8q3oEDCx1rsKKtGmu1cES9z2YDpawtBK0HWAJypzZ+4KsBzCwzNYktOxBBmVH1xFauW81bTu0gyZXTaL5Y86kwWWVofU5aENBsAZtKw73AW8cqmCmDy7WFgaWGS0FzeqaBnV5Aj8wsHQ1AwNLzliQDYs8q3oEDCx1rsKKtGmuVcFSKnswFSxhaaS/7QBLfxk0c3+Q9QAGlplahJ612KDs+ROtPZ3+5/avpOYDW2hX+x4aXzWWakdMo/mj5oXed90GbZqAVLADrwpLpRnjYm1hYMVLqzZrsLOzk5Yte6RfhAt+hg4dRIcOHaV0+vVUF110MZWXl/crd6nfbEo7+BXCUleGvP9BNizyrOoRMLDUuQor0tR8Elb/e7ajgkW2B4vLySwVLFFwHKRNYAnCmvl7gqwHMLDM1yWUFvINygOvHqK/7VxJTW0+nTV+Dh1PH6V1+zbQ6WNm0cJxZ9HDWx6l5ZufzvVv8fSz6X01l1Mq1eNTeii912vEpglIBTnwqrBUmjEu1hYGVry0arMGhRHyu89cTWMGDWYlfe/RDnrXXXdTQ8NM1ryllsyUdmBglZoS9PsbZMOi30rhO2BgcbLJk8vUfMLTO70sMizCnHpw8x/p0Y1P5hK/peZcunz626n96Al6eu1uesHfR3O80XT27HFUOTC6L0tkWPSYiTYaWKLlv1DrQdYDGFjxrKV2r/INyj9u+gv9ecsjVJYso/OmLqDHe5hVHznjPfTM9uepqXVLrq3akdPoujOvyRhYPU9taXfG8A02TUAqVAGvCkulGeNibWFgxUurNmtQGCFbbvoKzRg6lJX0TYcO0bSbb4WBlSCqrq6ilpb2XqfT+ks2DKz+Mhj/+4NsWDhRwcDiZJMnl01rkQyLMLDuWP1Das6zB3tk5Xb61TI/R+oVF3l00dxJPCQHyCLDEiBlZLcAS2TUF204yHoAAyuetdTuVd9BKQyo2577IW1s25x5PLCy4hRqbt2ay+uNmkGnjamnB9Yvzf3b5TMvpbkj5+ZObdUN92jRxHk0YiDvh39tcH1usGkCUuECeFVYKs0YF2sLAyteWrVZg+vWraFnb7iOJlYOYSV955HDtPC2O2jWrNNY85ZaMlPagYFVakrQ72+QDYt+K4XvgIHFySZPLlPzCU/v9LLIsIg92q+bfnfSUzAfrH83LfnZ87Rh64Fcgw1TR9CXrjwzsqdjZFj0mIk2Glii5b9Q60HWAxhY8ayldq+KncAaP2QMNYyuoeWbn8nlvWD6OTRl6ERqOrC51zuw9h1qpz9t/nMu7pJpF9PbZ7xZuz8mb7BpAlLhCXhVWCrNGBdrCwMrXlq1WYNr166hL/z3DTR4FK+B1bH/MH37I7fR7NkwsHACK/94bm/ZRkuuXkCLFs1nP6EWrxkkWG+CbFiCtZT/LhhYnGzy5LJpLZJhESewlu96kna2787twSZWjaPF48+lB57aRH98anOO1Le/aTpdfs50HpIDZJFhCZAysluAJTLqizYcZD2AgRXPWmr3Kt+gzL4Da+PBZpoz4dReE+Xs0fW0fMvfaeOBbVQ9aAS1dLRSzcipNGzAcFq564Vc+zXDp9MN86+hzs6Udp9M3WDTBKTCEfCqsFSaMS7WFgZWvLRqswZNnOQR1Tu4vZW+uuA6PEKIRwgLDmYYWMXnuSAbFs6ZEwYWJ5s8uWxai2RYxAmsX2z4DaUTREdPHKVBFadQIp2gD5/6PvqvpRvoRGeKdu47QhNHV1JFeZI+dJGHE1gMMpPVhaGJ0FLYhkV3bwADKzSpmW2omJDFRHno1XZauW81bTu0gyZXTaL5Y86kFXtX0W/XP5Tr2HtmXkZHjnXSUpzAMlsszew2TVIq0F3C6xJWUfsoNy22bFhUxpBOjM0ahIGlowT9WFPaMVG3QqajaOvGe1ZQVfUUfQKK3AEDCwYWq6AKJDM1BsPoe982XMPy0PalmZe4Zw8RvKX2PLps8qW0bNUO+s3jTVQ9fBDtO3CU3vfmOrwDi0mQrmmMiTbjaYLsDWBgGS9LOA2oDsqeP8va0XUkY2K9tHdd5pcJF4yZS692duEdWOGUTLkV1doqJ4x5oEt4XcIKAyueA89mDZowQkQVcQKrW8umtGOibjCw4jX/BNmwcCKw5QsNU2OQk2vVXK5haetspb/tWkF+yybyqmfQovELaHj5SDryaid+hVBVNJpxrmlMk57IwoOsBzCwIisXb8P9GZQ9Ta1sr/ArhLz16U+2/tS2P+1Gda9LeF3CCgMrqhFVvF2bNWjCCIGB9bqeTGnHRN1gYMVr/gmyYeFEAAOLk02eXKbmE57e6WXRwVJov5Vvb6bXC55oHSw8LZrLAizmuO1P5iDrAQys/jAeo3ttGpQyWl3Cmt30m3hRroznqK67VF+XsMLAimpEwcAaNnkkK/k4gdVNp6n5CwYWq1xjmSzIhoUTCAwsTjZ5cpmaT3h6p5cFWPT4CisadQmLab12gqwHMLD0OI5ttE2DUkayS1hNbhJkPEd13aX6uoQVBlZUIwoGFgwsM9ozNX/BwDJTrzhlDbJh4ew/DCxONnlymZpPeHqnlwVY9PgKKxp1CYtpvXaCrAcwsPQ4jm20TYNSRrJLWGFgydRQ2tdd1LLuL41wVdiWDQsXH9k8NmvQhBEieMMJrG71mNKOibrhEULumaN/+YJsWPrXYu+7bVkPTI1BTq5VcwGLKlPhxqEu4fKt2pptddHdG8DAUlVKzONsErKMapewmtwkyHiO6rpL9XUJa1bLuosUlw5t2bBw8QEDKziTMLBgYMnUg18hLM4QDCyZgtSu2/QZAljUah52FOoSNuNq7dlWF929AQwsNZ3EPqqvkHu+/C8uLwLkItGmQavCCfCqsFSaMS7WVneR4qosDKz8TNqsQRMneQSLMLBgYMnmJRhYMLBkGuG4btP8bSuWRCJBqVS6YLnjvkeztS7pwiXhGJrGc9hWF929AQws4xILp4GskLfuPEDPrN1NW3a30yyvkjoGb6Y1+16m08fMogVj5tLgsspMh7ITpvjf7F+xCTYcFGqt2DRoVRADrwpLpRnjYm11FymuysLAgoHFpSUYWDCwZFqCgQUDS6YRjus2fYawDUvZgAp65JnNmf3Y1HFV9MZZ46hyYHmu7B1dR+j5lheo7dU2GlYxnOaNmZPbo/Xcp3HopD85bKuLLT+KZVtddPcGMLD6M6pjdG9WyH/4azP529to9/4O8ua10GPbl+V6+Z6Zl2VMrJX7VtOxrmPUmeqipv2bafrwqfRq5zGqHjyKFo49q9cEGiOIua7YNGhV+AVeFZZKM8bF2uouUlyVhYEFA4tLSzCwYGDJtAQDCwaWTCMc1236DGEblmc27KPGLa20c98Rmji6krzJw+mNp47Nlf2lgy/SloM7qLWjjUYMHkbTh02m04edQUde7aSn1+6mF/x9NMcbTWfP7m18cehGNYcw2Z7bu4pe3PcynTH6VJrf4yCEao44xdmmMZvMON29AQysOI2sfvQlOyi/d/8LtOy5bTRu1GAafdY/qP34IWrpaKWudIpmVtfQgolnUtOBLbTn8F4aO2QMtXTsp8aWTXTOlHn07I7VdHn9pbR4/Ln96In5W22agFTYAl4VlkozxsXa6i5SXJWFgQUDi0tLMLBgYMm0BAMLBpZMIxzXbfoMYROWsrIE3besKbMfy/5dNH8KXXlhXeZxQvH0y/Jdf6Vdh/fR0RNHaVDFKTR+yBhaPP48emTldvrVMj933xUXeXTR3EkcctHOsXzXk/Tb9Q/l7hMHIeK+RywG0iaN2YZFd28AA0t7OMfzhqyQr/vuX8nf1kazvCE0Y84+2tS2mcZXjc0YVW+cOI+2HtpOyzc/nQORNa6mDptIR4530LBTqujaOZ8p+rx21AzYNGhVuAReFZZKM8bF2uouUlyVhYEFA4tLSzCwYGDJtAQDCwaWTCMc1236DGETFmFg3frzVZn9WPbPmzKcvvyhuZn9VXl5kh7d/hfafaSFdrXvyezTxlVW0yVTL6QlP3ueNmw9kLuvYeoI+tKVZ4a+LxMm250v3EX+/s2vYxg1PfZ7RBhYHDNLuDnE2NfdG8DACrdGxlrLTvz3LV1PDyxvonMvPkrPtDyRa+/SusX0lsmL6Yf/+E9qbt2S+/cZI6ZkjKvaUdPp2e2r6PKGt8beXbdpkVMRBPCqsFSaMS7WVneR4qosDCwYWFxagoEFA0umJRhYMLBkGuG4btNnCNuwLFu9k375SGOuzO+/0KOLz+o+SSXMof/Z+GCvAwWLp59N76u5HCewOAZGgRy2aQyPEBoUS5SpXdqwZAeleIn7i8376Zljv6ONbSe75o/tXE4PrP9TrixiwhyQHEjHThzFO7CiFGuRtm2acFUodgmvS1hF7YN8y6KiGZUYl9YDFT6yMTZrEL9CqKME/VhT2jFRt0Kmo2jrxntWUFX1FH0CitwBAwsGFqugsCEPg062NsTcKF7ivvTpzXnfZSUMrDtW/7DXgYLakdPoujOvofajJ/AOLLZK9E5kas0y1N2iaW3DovvlNk5gRaE6A232FfITu56k3+R5blm8kG/F3lX00t51mV8mXDjuLKp87ZcJ8SuEBgrDkNKmSUqFDpfwuoQVBpaK+sOPsVmDJowQUSGcwOrWqSntmKgbDKzw55ZiLUb5ZYboly1faJgag1GoxVYsiUQi7+N/j+96oteBgnfPfCtdMP78HPXZX4uPohY927S1Lul01Mz2r33b6gIDq4cebFmgVCTeV8h9jSrx64ODXzOqRL64TIwq2PrG2DRoVfADrwpLpRnjYm11Fymuyrq0HuhwZrMGTRghMLBeV5cp7ZioGwwsnVnBfCwMLB6OTY1Bnt7pZXENi2yfpseeuWjX6mKOSd7MttVFd2+AE1i8eoosWyEhl7JRVYhMmwatimCAV4Wl0oxxsba6ixRXZWFg5WfSZg2aMEJgYMHAUpmT8AhhcZZgYKmoSB5j0/ztKpa479NcrYt89EUbYVtddPcGMLCi1R9b6zYJWUaKS1gFF8ArU0TpXnextrqLFFd1YWDBwOLSEh4h7GbS1PxlwnjECSwu9fPkgYHFx6NNL3IGFh5dcGYxNc9z9lE1F7CoMhVuXJD1AAZWuDUy1ppNg1JGkktYTW4SZDxHa1knrwAAIABJREFUdd2l+rqENatlGFhRjSwYWFzMw8CCgSXTEk5gFWcoyIZFxrnOdVu+0LDpMwSw6Cg4vFjUJTyudVqyrS66ewMYWDpqiXGsTUKW0ewSVhhYMjWU9nUXtay7SHFV2JYNCxcf2Tw2a9DESR7BGwwsGFiycQgDCwaWTCMc122av4GFQxH8OVAXfk45MtpWF929AQwsDhXFIIdNQpbR6RJWGFgyNZT2dRe1rLtIcVUYBlZ+Jm3WIAwsrtETrnZM1A2PEJrVgm52nMDSZSzcMcjTO70sNq1FwKJX+7CiUZewmNZrJ8h6YNzA8jzvC+l0+qpEIiH2DysnTpz4z3v27Gno6uq6m4iGEdHajo6Oj+7YseNofX19VTqd/jkR1RHR4a6uris3btzYLGjwPO8bRHS5+P/pdPr6pqamh2T0uLRhsWlQyurqElYYWDI1lPZ1F7UMAytemrVZgyaMEFE9nMDq1rAp7ZioGwys+M07Ua0Fr+0j0i0t7ZROx4sX3d6YGoO6/eCIBxYOFvlzoC78nHJktK0uuuuBUQPL87x5RHTP8ePHF2zZsuWY53k/SyQSL6TT6Y8S0ed83/+b53lfJ6IK3/e/XFdXd2cymWxtbGy8pb6+fnE6nV7i+/45nue9M5FIfLqxsfGSU089dWxnZ+ffOzs7z9y0adPBYiJw1cBKJBKUSuVflbO/dhH3X70oVlebBq3KJAa8KiyVZoyLtdVdpLgq69J6oMOZzRo0YYTAwHpdXaa0Y6JuMLB0ZgXzsUG+cefslS3rgakxyMm1ai4bsbS2HqauruIuaXl5kjo7U6o0hR5nY11gXocuo6INBlkPjBpYNTU1tWVlZeN9339K9NzzvOsSicSsdDp9nu/7NeLfampqJpeVlS33fb/W87zmrq6uxRs3btz+WnxzKpU6P5lM/isR/dX3fXE6S+S5J5FIPNHY2HgfDKxuBkTxyypT9FjT3+jFvevojDGzaP6YuTSkYkjGzHo10UFPv/J85lpNlUeHt4+l6iHD6ezZ46hyYHm8lCzpjU2TqQrxwKvCUmnGuFhbGFjx0qrNGjRhhMDAgoGlMoLzvQOrs7OTmpubVG7XjqmtraPy8tL5LBdkw6JNSpEbYGBxssmTy6a1qON4J61s3Estbcdo+JABtPDUk/dabZ2t9LddK8hv2URe9QxaNH4BDS8fmSMzLgcNbKoLsPCMVe4sQdYDowZWT4A1NTVjysrKViQSiR+l0+nLfN8/97XrZZ7nHfF9/xTP8476vl9JRBkr2vO8J1Op1BeTyeRNiUTi9sbGxsfFv9fX19+STqfFPd+EgfW6gfXknr/Rr9f+IUfJxTXn09a27TRjaB2dUj6Qft/8R+pKd7v8b6w+n55+bDB9+JKZ9MZTx3Jr0Wg+myYgFaKAV4Wl0oxxsbYwsOKlVZs1CAPLrNZMacdE3eJwAkvg+tG//55GDp/AWpjWtlfo0//fP1FDw0zWvCaTBdmwcPYHBhYnmzy5TM0nPL3Ty/JCcwtteqWd9h88SqOGnUIzJgylObXVvZI8tH0pLW1anvu3S+sW02WTL6Ujr3bS02t30wv+PprjjY78oIFNdQEWPR2HFR1kPQjFwGpoaJiWSqXEO6vuS6VSf00mk9/qY2C1+74/2PO8V33fH9TDwBInt8SprVuI6Fs9DSwiam9sbLxNZmDt31/6z7irCKisLEF3rP5RxsnP/s0YMYXGDKmmgckBtOPQLhpXNYZaOvZTY8smqhk+nWYcvZTWb2mleTPHRD5BqmDMxgihjxpVRa7UFnh11FFasS7Wtrp6aCjrTl8liA2LK3OGziiwWYPCMLjl2Tto2OTXv9XW4aZQrDBDblx4XUkZBhy4++YwpR0TdStUM9HWV+9eQVXVU1gpEiewbv3kAjrnnPm5zyqirV/fvZLGMLe1t2UbfeDqeSWlx+6NZDRrgSi0LeuBqTHIOhgUk9mCRZycevT5HbRj72Haue8ITRxdSZPGDKG3nDUp93oX8djgbSu/T82tW3Ps1I6cSjfM+xz96dlt9Ktlfu7fr7jIy9wbxZ8w0/6+Zjf9w99Hb/BG0zmnld5TOz15s0VjApNtWHTXA+Mbibq6ujckEglhXn3D9/27ej4yKApQW1s7KZFIPN7U1OR5nreRiM71fX+nuCYeKUwkEuemUqlbksnk442Njb947d/vSafT4p5fygysKAZ8VG3+bt3SXiewzpkyj5KJBD219blcl8S/PbtjNS2e9Gb60+/KqOu1d2V96NIGev+F9VF1He2CATDgCAMJ8ZK+CP7EhiWCZtFkhAysW7eOvrD0ZiMG1rcvvYlmzZoVITp7mzZRN2Fg5auZaOua2x43YmD98IYLemlEtPWj254wYmB9+obzS06PUa0FWQPL3hEEZFEz8N37X6DHntuW68aF86fQ/3v/nF7dunfVr+mR5r/m/u3i2vPo/8z9AN3wvSdp/dYDuX+fOXUE3fZ/sw8thYvs/sca6b6lG3KNYq8YLv8utaa7HhjdSNTW1o5OJpMvEdGnfd//32whPM97kYg+K96N5XneTel0ekRTU9O19fX13yWiFvES94aGhvNTqdSdvu/PqaurexcRfbKpqelt06dPr66oqHimq6tr4caNG/fKDCxXvnEXW8Lk4BQ9+NJyamxrpJoRU+nQ8TZq6ThAmw68PomKf5814gw6tm80/f4vGZ8w89cwdQT9y4fOLPjy9zgNIptcZxVegVeFpdKMcbG2ut+ycFXWlm/cufjI5rFZgyZO8gjecAKrWz2mtGOibjiBxT1z9C8fTmD1jz8b529T8wkP0+pZxAmsW3++ivxtbbmbvCnD6SsfnpvbY4mYX/kPUGe6i3a176HxVWOpPFFGV3jvpj8/tz0WJ7BEH//tvtW0oYeZVkp7xXwVs0VjJtdfdaXzRQZZD4waWPX19UvS6fTniUichRRtpROJxMNdXV2/KisrE6eohhLR5kQi8cHGxsb2GTNmDKuoqLg3lUrVJxKJY8lk8uMbNmxYIyjyPO9WIvonIkoS0dd9379fRp0tz7jLcGaFXF1dRVt3HqAXm/fTtpYWqpy8h47RIVq++elcijeNu4BGvzo789PBv3y09xHVi+ZGc0RVBV/PGJueYVbBDrwqLJVmjIu1xTuw4qVVmzVo4l1KWQPrqwvwCKEp7ZioW1zegXX/PWYeIXz/J0rvEcKo1gIxhm3ZH5gag1GsUjZh+fPK7fQ/f3n9Bxve9+Y6umTe5F60Pr7rCfrfxkeoetAIaulopXc2XEIXjD8/Vu/AWrZqx0lmWqnsFQsZWGKvjF8hjGKEF24ztu/AioomWxYoFf76TvzZX684mu6gZ3atpBf3vEyTB9XQpPIGOm1y9wtE4/SSQBWMPb9xsmUCUsFt06IOvL0ZcLG2UW1aXFoPVMaZC/OpCSMEBtbr6jI1f5moGwwsnVnBfGyQDQtnr2xZD0yNQU6uVXPZhEX8CuGz6/fS8y/vKfgi9o6uI7Ri7yp6ae86On3MLFowZi4NLhO/Y9b9F4dfIcy+UD77DqxS/OX6nvqzSWO2YdHdGxg9gaU6aZmKs2WBUuFHJmQxEYq/1GvvvIrTBKmCz9YJSAW7rLYqOUopxiW8LmEVGoxy0+LSeqAz3m3WoAkjBAYWDCyV8SVe4r7k6gW0aNH83Lf9Qo84gdXNXpRrgWjflvXApvnbRiytrYepq6v46zfjYFQVm9NsrAtOYKmsYuHFBFkPYGCFVx+jLdk0wciIcglr9oMeTpzJVFGa113Usu63LFyVtWXDwsVHNo/NGoSBxa2W3vlMacdE3XACy6wWdLMH2bDotlEs3pb1wNQY5ORaNRewqDIVbhzqEi7fqq3ZVhfdvQEMLFWlxDzOJiHLqHYJKwwsmRpK+7qLWtZdpLgqbMuGhYsPGFjBmSxkhgTPWJp3mpq/YGDp6WFvyzbCO7D0OLNlPTA1BvXY5IkGFh4eubOgLtyM8uSzrS66ewMYWDw6ijyLTUKWkekSVhhYMjWU9nUXtay7SHFV2JYNCxcfMLCCMwkDq5s7U/OXrQbWunVr6Cd3Pkwjh3e/h5Trr7XtFfrktW+jWbNO40ppPA9OYPFQbGoM8vROLwuw6PEVVjTqEhbTeu3YVhfdvQEMLD29xDbaJiHLSHYJq8lNgoznqK67VF+XsGa1rLtIcekQBlZ+Jm3WoAkjRLAIAwsGlmxeyvcOrLVr19Cnv/tZGjR8sOx2retH2zroR//vBzR7NgwsVeJsWQ9smr+BRVW94cahLuHyrdqabXXR3RvAwFJVSszjbBKyjGqXsMLAkqmhtK+7qGXdRYqrwrZsWLj4yOaxWYMwsLjV0jufKe2YqFtc3oG1ZMUdNGzySNbClKKhihNYPBIwNQZ5eqeXBVj0+AorGnUJi2m9dmyri+7eAAaWnl5iG11IyHH/dYsghNo0aFXwA68KS6UZ42JtdRcprsrCwMrPpM0aNGGECBZL0TDgGkc985jSjom6wcAyoYDgOWFgBecujDHI0zu9LKbmE71e8ETrYIn7Pk0HCw975rIAizlu+5M5yHoAA6s/jMfo3r6DsqPrCK3Yu4pe2ruOzhgzixaMO4sGJQZT3CdKFUptmoCA92QGXKqvS1hFpYMsUipjRCUGBhYMLBWdqMTAwOpmydT8BQNLRYWvx5SiHqNcCwRztqwHpsagngJ5ol3D0nOfdrrYp42ZS4PLKnnIZMziWl0YqTOayra66H65DQPLqLzCS95XyMt3PUm/Xf9QrgNvnrGIxlSOoj2H91L1oGp647h5NIBOCa+DjC3ZNGhVaAFeFZZKM8bF2uouUlyVtWXDwsVHNk/YGuzs7KSf/vQebhiZfFdd9QkqLy/P5TZhhIjkpWgYmCDclHZM1A0nsEwoIHhOGFjBuet5p6kxyNM7vSyuYXnslcfpD/4yqh40glo6Wukd9W+hCydcoEdaCNGu1SUESlmasK0uunsDGFgsMoo+SU8hJxIJuvOFu8jfvznTsfrqGTShaixtbdtJXvUMGlA2gF7e69Mbxs4u6PjH+aSWTYNWRTnAq8JSaca4WFvdRYqrsjCw8jMZtgaFOXH1HZ8y8iLru6/7MTU0zISBxTVoJHlMaQcGll4BS9FQhYGlV+NC0abGIE/v9LK4hEXssX7d9AB1prtoV/seGl81lsoTZfSBundTKpXWI85wtEt1MUwla3rb6qK7N4CBxSqn6JL1FfITu56k36x/iMqSZbRw0pn0920rc507Z8o8enbHaupKddF7Zl5Gi8efm7tWCkdabRq0KooBXhWWSjPGxdrqLlJclYWBFR8DK6wXWZswQgSLpWgYcI2jnnlMzV8m6oYTWCYUEDwnDKzg3IUxBnl6p5fF1Hyi1wueaBmWAQPK6MGND9GfmpbnGnxr3WK6vOYyOn68i6cTTFlkWJiaCSUNsIRCs3YjQdYDGFjaNMfzhr6DUhhRy195ilo69lPr0TZqbt2a6/iMEVPoyPEO2nOkhbxR0+naOZ/JOf59Hz3sa3DFAb1NE5AKn8CrwlJpxrhYWxhY8dJq2Bo0YU4UMpXCbCteVeXtTaHHPoV2hgw5hQ4fPkbpgIcG+j72KXpuom4wsHg10d9sQTYs/W2z5/22fKER9vzNWYO+uVzCUl6epNuf/wE1t27J0VA7chpdf9ZnqbMzZZJm7dwu1UWbnAhvsK0uunsDGFgRio+z6XxCFibW5iNbqPnAZnp045O55jInsLavoq50qtcJLHGkteejh+KGvgYXZ5+D5rJp0KpwALwqLJVmjIu11V2kuCpry4aFi49snrA1aMKcgIHFrYre+cJ87BMGln4tS/FEIAws/TrnuyPs+Zun1/mzuIRF7Lf+Z+ODtHzz0zkyFk8/m95XczkeITQoMpc0ZpBG9tRB1gMYWOxliCZhsUF5NN1BK3Y/Ty/uXUenjZlJQwZU0jM7nqd8v3qBE1jR1K9YqzZNuCrsuoTXJayi9kEWKRXNqMTAwIrHpgEGlopa4xUTZs1gYOnXHgaWPme2rAc2fYZwDcuK/c/RxgNbc+/AqhkxlRaMmq8vZsN3uFYXw3SypbetLrpfbsPAYpNStIlUhNzzxeyFXtKOd2BFW0fbv2FTYVdFyyp5SiHGJawwsOKpyLA1GKYZEmZb8awuT6/C5tFEe3iEkEcLXFmi/DJDYICBxVVJvjxhr0V8PT85kwoWsd9auW81bTu0gyZXTaL5Y86kwWWVJrsVKLcKlkCJI7gJWCIgXaHJIOsBDCwFYkshhHtQ4lcI41N17trGB1n+nriE1yWsMLDiOfLC1qAJc0Iwm8+gCLOteFaXp1dh82iiPRhYPFrgyhJkw8LVNgwsTib5coW9FvH1PJiBlb0rzvut7Oe26uoqamlpD/yuQ5Nc6+R2VWM6HEURG2Q9gIEVRaUMtGnToJTR4xJW2xYPWW1dw+uilnWPCatoRiXGlm/cVbDqxIStQRPmBAwsnYrrx4ZZM9E7E+3BwNKvu8k7gmxYOPtjy3oQ9vzNWYO+uYDFJLvBc6MuwbkzeadtddHdG8DAMqmuEHPbJGQZbS5hdc3QcQ2vi1rWXaRk84HqdVs2LKp4VePC1qAJcwIGlmq1g8WFWTMYWPo1wjuw9DmzZT0Ie/7WZ1r9DmBR5yrMSNQlTLbV27KtLrp7AxhY6lqJdaRNQpYR7RJW1wwd1/C6qGXdRUo2H6het2XDoopXNU5ocPjwQXT77XcaeTzgqqs+QeXl5bnuhGmGhNmWANjZ2UnLlj2iSr1y3EUXXdyLQ+UbmQLD5tFEeziBxSQGpjQ4gcVDpE2fIYCFRxPcWVAXbkZ58tlWF929AQwsHh1FnsUmIcvIdAmra4aOa3hd1LLuIiWbD1Svw8DKz5TQ4J492+jdX/kwDRo+WJVOpbijbR1093U/poaGmU4YWMJ4+d1nrqYxg/h43Hu0g9511929OFQinzHIhKEkulfMVFqy4g4aNnkkGwoYWGxUsiSCgcVCY+aXffF+Ih4uObOgLpxs8uVCXfi45MwUZD2AgcVZgQhz2TQoZTS6hNU1Q8c1vC5qGQaWbIYL93rWwPrC0ptZDYNCBkWYZkiYbQm8or0tN32FZgwdylbETYcO0bSbb4WB1U9GYWD1k0Dm24NsWDi7YMsXGjZ9hgAWToXz5UJd+LjkzGRbXXT3BjCwONUUYS5VIYtfuxB/qVQ6wt72r2lVrP1rJT53A298asHdExdrq7tIcXFuy4aFi49sHhhY+owWMkPWrVtDz95wHU2sHKKftMAdO48cpoW33UGzZp3WK8LU44qikb6PLEZhBOIElrqE8A4sda6ykbasBzZ9hnAVC36FUH/8Br3DVY0F5Sus+4J8oQEDK6zqGG5HNig7uo7Qs3tX0ot7XqbJwybQlKETafbwU2lwWaXhnvGnl2HlbzHajMAbLf8mW3extjCwTCpKPzcMLH3OChkGa9euoS/89w00eBSfgdWx/zB9+yO30ezZvQ0sE48rCibyPbIIA0tfI+0t22jJ1Qto0aL5uZ+fD5tH/V6Hd0eQDQtn72wwsMTn+uf2rqIX971MZ4w+leaPmVuSn+l7fpni0uOQon4r9q6il/auo9PHzKIFMa2fTZ9TgYVzFuXLFWQ9gIHFx3+kmYoNSuHu/2XnX+m36x/K9fGcKfNo4pBxdN64N0Xa7yCN2zQBqeAHXhWWSjPGxdrCwIqXVmFg6dcjDu9uMnHaSzCR78RX2MaLifbwCKG+zk3eEWTDwtkfGwys5bue7PW5/j0zL6PF48/lpCnUXDZ9HlLBUir1U8ESqlD60Riw9IM8g7cGWQ9gYBksSJip8w3KrLu/o30n7e9oo6bWzbkuzRgxhcZUjqKPNnyw5B4ntGkCUtEI8KqwVJoxLtYWBla8tAoDS78ecTCwTJz2EkzkO/FlwlASbcWBR4HtxntWUFX1FH0hFLkDJ7CK0xlkw8JZoFI3sMQX03e+cBf5+1//XO+Nmk7XzvlMyX2mz9bVps9DMiyift9+4S5q6lG/ulHT6QsxrJ8MC+e4NJ0LWEwzHCx/kPUABlYwrmN3V75BmXX3yxJJWjh5Lv1928pcv8UJrAmV4+j88TiBFbti9umQTROuCtcu4XUJq6h9kEVKRTMqMaW+YVHBGCQGBpY+a3ExXrjfE1XIVIKBpa8RGFgwsPRVo3dHqZzgUUVl0+chFSwPbV9KS5uW5+i5tG4xXTb5UlW6QotTwRJaZ/rZELD0k0BDtwfZG8DAMlSMsNP2HZR9v52pr55BU4dNok0HtuEdWGEXp5/t2TThqlDhEl6XsMLAUlF/+DEwsPQ5h4Glz1m+O+LCI05g8dRTJ0uQDYtOflmsDV9o4B1YsipHd1322U7s0e5vfoBOpLpoV/seGl81liqSZfT+2nfH7gSdDEt0LOu3DCz6nIVxR5D1AAZWGJUJoY1iJ7Cyzb/v1LfT4gndz8fjVwhDKApTEzZNuCqUuITXJawwsFTUH34MDCx9zuNivOAElnrt8A4sda7CiAyyYeHslw0GVnZNdenF55waMJlL5bOdOEH3YONSqh40glo6WunyhrfG8h1mKlhMcsmZG1g42eTLFWQ9gIHFx3+kmfINylL5hQtd4myagFSwA68KS6UZ42Jt8Q6seGkVBpZ+PWBg6XOW74648IgTWDz11MkSZMOik18WCwNLxlD41236PKSCpVT2aCpYwldLsBaBJRhvpu8Ksh7AwDJdlZDyFxuU4qhqKZ+46kuhTROQijyAV4Wl0oxxsbYwsOKlVRhY+vWIi/GCE1jqtcMJLHWuwogMsmHh7BcMLE42eXLZ9HlIB0vc92g6WHiUYC4LsJjjtj+Zg6wHMLD6w3iM7rVpUMpodQmr4AJ4ZYoo3esu1hYGVrz0CgNLvx4wsPQ5y3dHXHjECSyeeupkCbJh0ckvi4WBJWMo/Os2fR4ClvD1o9Ii6qLCUvgxQdYDGFjh18lIizYNShlBLmGFgSVTQ2lfd1HLMLDipVkYWPr1iIvxghNY6rXDCSx1rsKIDLJh4ewXDCxONnly2fR5CFh4NMGdBXXhZpQnX5D1AAYWD/eRZ7FpUMrIdAkrDCyZGkr7uotahoEVL83CwNKvBwwsfc7y3REXHnECi6eeOlmCbFh08stiYWDJGAr/uk2fh4AlfP2otIi6qLAUfkyQ9QAGVvh1MtKiTYNSRpBLWGFgydRQ2tdd1DIMrHhpFgaWfj3iYrzgBJZ67XACS52rMCKDbFg4+wUDi5NNnlw2fR4CFh5NcGdBXbgZ5ckXZD2AgcXDfeRZbBqUMjJdwgoDS6aG0r7uopZhYMVLszCw9OsBA0ufs3x3FOJx3bo19JWHb6YhY4fxNEREh/ccpFvfdhPNmnVar5wbNqynsE5gmcAlwBTCxkaegURBNiyc3YCBxckmTy6bPg8BC48muLOgLtyM8uQLsh7AwOLhPvIsNg1KGZkuYYWBJVNDaV93UcswsOKlWRhY+vWAgaXPmY6BtXbtGvrczT+lQUNH8zREREcP7aPv33QVzZ4dnYFlApcgqBA2NvIMJAqyYeHsBgwsTjZ5ctn0eQhYeDTBnQV14WaUJ1+Q9QAGFg/3kWexaVDKyHQJKwwsmRpK+7qLWoaBFS/NwsDSrwcMLH3OdAwsE6ei2lu20S2fWEANDTN7dcVEW6IB0d6SqxfQokXzqaWlndJpIpNt5cPGUyUzWYJsWDh7AgOLk02eXDZ9HgIWHk1wZ0FduBnlyRdkPYCBxcN95FlsGpQyMl3CCgNLpobSvu6ilmFgxUuzMLD06wEDS58zGFgwsHpqIMiGhUd13VlgYHGyyZPLps9DwMKjCe4sqAs3ozz5gqwHMLB4uI88i02DUkamS1hhYMnUUNrXXdQyDKx4aRYGln49YGDpcwYDCwYWDCyecdOXx+rqqtwpP/4Wwsto0+chYAlPNzotoS46bIUXCwOrD9e2fMOiIiGbBqUMr0tYYWDJ1FDa113UMgyseGkWBpZ+PWBg6XMGAwsGFgwsnnEDA4ufR+6MNn22AxZudfDks60uunsDnMDi0VHkWWwSsoxMl7DCwJKpobSvu6hl3UWKq8IufaGhwxkMLB22umNhYOlzBgMLBhYMLJ5xAwOLn0fujDZ9tgMWbnXw5LOtLrp7AxhYPDqKPItNQpaR6RJWGFgyNZT2dRe1rLtIcVUYBlZ+JmFg6SsMBpY+ZzCwYGDBwOIZNzCw+HnkzmjTZztg4VYHTz7b6qK7N4CBxaOjyLPYJGQZmS5hhYElU0NpX3dRy7qLFFeFS83AuuqzH6FtO7Zywc/lueJdH6RPfOSfc/8NA0ufYhhY+pzBwIKBBQOLZ9zAwOLnkTujTZ/tgIVbHTz5bKuL7t4ABhaPjiLPYpOQZWS6hBUGlkwNpX3dRS3rLlJcFS41A+uGu75IRxrSXPBzeU7bPYM+9cFPwcDqB7MwsPpBXo9bi/F44z0rqKp6Ck9DRNTeso1u+cQCamiY2Svnhg3ribst0YBob8nVC2jRovm5F2ybbCsfNjbyDCQK8tJezm6U2npQCLtNnyGAhVPhfLlQFz4uOTPZVhfdvQEMLE41RZjLJiHLaHQJKwwsmRpK+7qLWtZdpLgqXGobljANrJ07N9Fn7vsiDRk7jIvuTJ7Dew7SrW+7iWbNOi2XV2zil6y4g4ZNHsnaVj4zJMy2BBgT7YVplgkMceGR21SCgcU63PqdDAZWvynMJLDpMwSw8GiCOwvqws0oTz7b6qK7N4CBxaOjyLPYJGQZmS5hte0Diqy2ruF1Ucu6i5SKZlRiYGB1s5TvBJYwsK78/A9o0NDRKlQqxxw9tI++f9NVNHs2DCxl0voEwsAKylzv+2Bg8fDIlQUGFg+TNn2GABYeTXBnQV24GeXJZ1tddPcGMLB4dBR5FpuELCPTJayuGTqu4XVRy7qLlGw+UL0OA6uwgbVnzza65rbHWR/ZEq3lMw1MnFISbcXl5BD36TLdGwehAAAgAElEQVQYWKojvHgcDCweHrmywMDiYdKmzxDAwqMJ7iyoCzejPPlsq4vu3gAGFo+OIs9ik5BlZLqE1TVDxzW8LmpZd5GSzQeq12FgwcBS1YosLkxTKcy24mQE4hFCmQpfv17InFPPEH4kDCwezm36DAEsPJrgzoK6cDPKk8+2uujuDWBg8ego8iw2CVlGpktYXTN0XMPropZ1FynZfKB6HQYWDCxVrcjiwjSVwmwLBpas8urX8RL34lzBwFLXUrFImz5DAAuPJrizoC7cjPLks60uunsDGFg8Ooo8i01ClpHpElbXDB3X8LqoZd1FSjYfqF6HgQUDS1UrsrgwTaUw2ypkYK1bt4a+8vDNobzkX/TBxK/14RFCmarDvQ4Di4dvmz5DAAuPJrizoC7cjPLks60uunsDGFg8Ooo8i01ClpHpElbXDB3X8LqoZd1FSjYfqF6HgQUDS1UrsrgwTaUw2ypkYK1du4Y+d/NPQ3nJPwwsmfpOvo5HCPU5K7X1oBBCmz5DAIu+jsO4A3UJg2X9Nmyri+7eAAaWvmZieYdNQpYR7BJW1wwd1/C6qGXdRUo2H6heL7UNyw13fZGONKRV4SnH5fsVQrzEXZm+TGCYplKYbRXCZuJElGgrzFNRYbaVxbbk6gW0aNF8amlpp3TazMmyYjzqqTrcaJzA4uHbps8QwMKjCe4sqAs3ozz5bKuL7t4ABhaPjiLPYpOQZWS6hNU1Q8c1vC5qWXeRks0HqtdhYHUzFbWBFebjaGH+4qHg1kR7hQyssHnkfqk6DCzVmUsehxNYco76RpTaelAIoU2fIYBFX8dh3IG6hMGyfhu21UV3bwADS18zsbzDJiHLCHYJq2uGjmt4XdSy7iIlmw9Ur5fahsXWE1hhPo5mwlASegvzVFShtsLmEQaW6kzTHYeXuBfnCyew9PQEA4uHr7Cy2PTZDljCUo1eO7bVRXdvAANLTy+xjbZJyDKSXcLqmqHjGl4Xtay7SMnmA9XrMLC6mYr6BFaYj6OFeUpJcGvCMCtmloVlKoVZsyyP3NjwCKHqTBlOHAwsHp5t+gwBLDya4M6CunAzypPPtrro7g1gYPHoKPIsNglZRqZLWF0zdFzD66KWdRcp2Xygeh0GlnsGVpinlGBgqY7E1+PCNJXCbEsgxAms4nqAgaU/XvLdYdNnCGDh0QR3FtSFm1GefLbVRXdvAAOLR0eRZ7FJyDIyXcLqmqHjGl4Xtay7SMnmA9XrMLDcM7CiODm0ZMUdNGzySFVZSuNwAktKkVIADCwlmkILgoHFQ7VNnyGAhUcT3FlQF25GefLZVhfdvQEMLB4dRZ7FJiHLyHQJq2uGjmt4XdSy7iIlmw9Ur8PAgoGlqhVZXCEzxMQji4f3HKRb33YTzZp1Wq9uhWnOhdmWAGmiPRhYMlWHex0GFg/fNn2GABYeTXBnQV24GeXJZ1tddPcGMLB4dBR5FpuELCPTJayuGTqu4XVRy7qLlGw+UL0OAwsGlqpWZHGFzBATjywePbSPvn/TVTR7NgwsWV2KXYeB1R/2+O+FgcXDqU2fIYCFRxPcWVAXbkZ58tlWF929AQwsHh1FnsUmIcvIdAmra4aOa3hd1LLuIiWbD1Svw8CCgaWqFVlcmGZImG0J3PnaM3EiqlBb4t9NtBcFj0uuXkCLFs2nlpZ2SqfN4CrGo0zHUV6HgcXDvk2fIYCFRxPcWVAXbkZ58tlWF929AQwsHh1FnsUmIcvIdAmra4aOa3hd1LLuIiWbD1Svw8CCgaWqFVlcmGZImG3BwJJVXv06XuJenCsYWOpaKhZp02cIYOHRBHcW1IWbUZ58ttVFd28AA4tHR5FnsUnIMjJdwuqaoeMaXhe1rLtIyeYD1eswsGBgqWpFFhemqRRmWzCwZJVXvw4DCwaWulqCR9r0GQJYguvA5J2oi0l2g+e2rS66ewMYWMG1E6s7bRKyjFiXsLpm6LiG10Ut6y5SsvlA9ToMLBhYqlqRxYVpKoXZFgwsWeXVr8PAgoGlrpbgkTZ9hgCW4DoweSfqYpLd4Lltq4vu3iAUA6u2tnZoMpn8W2dn52WbNm3a5nnepUT0TSJKE9Gaw4cP//Mrr7zSUVNTU1teXn5POp0eQUQtZWVln1q/fn2TKK/neTuIaG+PUr/d9/2dxUpfahuW4DImsknIMh5cwuqaoeMaXhe1rLtIyeYD1eulth7ccNcX6UiDWCJ5/07bPYM+9cFP5ZIKDe7Zs42uue1xqqqewtpY1O9TMvEupUImj/h3E+3BwOKRZBQ84h1YhWuHRwh5dG3TZwhg4dEEdxbUhZtRnny21UV3b2DcwKqtrV2YTCZ/Ijyozs5Oj4gOlpeX++l0+vympqb1dXV11xPRxKamps97nvdUOp2+t6mp6b/q6uoWJBKJH/u+P6e2tnZSMpn8o/j/OmUvtQ2LDra+sTYJWcaDS1hdM3Rcw+uilnUXKdl8oHq91NYDGFiqle2Oi9osg4GlVy8XjEAYWDCw9EeF3h02fYYAFr3ahxWNuoTFtF47ttVFd29g3MCqq6u7N5lM/mc6nf55Z2fn+RUVFWPS6fQPfd9fIEpVV1c3M5FILPV9f5rneYc7OjpG79ix46i45nnenmQyuSCVSgnjagkR7SeiQUT0Dd/3H5SVutQ2LDI8xa7bJGQZDy5hdc3QcQ2vi1rWXaRk84Hq9VJbD2BgqVYWBpYeU8WjYQTysIlHCIvziBNYPDqz6TMEsPBogjsL6sLNKE8+2+qiuzcwbmBly+R53ubOzs7zXjuBtT6ZTF68YcOGNZ7n/SsRfcn3/VM8z/trIpH478bGxns9z3szEf05lUq9KZlMTk0kEnMbGxu/1NDQMCWVSj2ZTCYv3LBhg19MBqW2YemPpG0SsowHl7C6Zui4htdFLesuUrL5QPV6qa0HMLBUKwsDS48pGFg9GTDx2KfIDwMLBhbnuCyUy6bPEMAShmL020Bd9DkL4w7b6qK7NwjdwBLvwKqrq7swkUiIE1Wi/buJ6Nu+7w+tq6ubkUgkvk9EE4hoaTqdfks6nf5kc3Pz6p5iqKur+04ikWj2ff8HMgNr//52SvO/RiQMbWq1IYQ8alQVuYDXJaxZQ8eV2rqG10UtV1cPDW3d6TmJCgOrlObH68U7sOr5F6/T95z8Dqzdu7fRx778C6ocPl5r3ZEFH2nbRXde/05qaJiZCxWGwbW3/691bQmAJrDl49BUWyJv1DUzhS0KHr9zwzvpnHPm5z6XmdBHoZrJxmbU17s3X9GsBQJ7qa0HxQwsWz4f2vR5CFiinmHyt4+6xLcuuutBaBuJ7AmsTZs27aitrW1obm5+WdBYW1s7RzxiKN5v1dDQ4FVWVm5etWrVCWFueZ7XMnDgwNpjx45dUFZW5osTW+Iez/O+l06nX25qavpxPEuBXoEBMAAGwAAYAANgAAyAATAABsAAGAADYAAMcDEQhYG13fO87alUamFzc/POurq6nyeTyTWNjY3fqq+v/206nf6t7/u/rqur+yQRvaupqekSz/O+RERzfN9//8yZM8d3dXU909XV9aaNGzdu5yICecAAGAADYAAMgAEwAAbAABgAA2AADIABMAAG4slAmAbWJvESd/EIYUNDw8WpVOo2IhpIRH/xff//ElFXQ0PDtFQqdV86nR5GRDsrKio+9vLLL+8+9dRTB3R2dv4HEc0XNKbT6ZuampoeiCel6BUYAANgAAyAATAABsAAGAADYAAMgAEwAAbAACcDoRlYnJ1GLjAABsAAGAADYAAMgAEwAAbAABgAA2AADIABdxiAgeVOrYEUDIABMAAGwAAYAANgAAyAATAABsAAGAADJckADKySLBs6DQbAABgAA2AADIABMAAGwAAYAANgAAyAAXcYgIHlTq2BFAyAATAABsAAGAADYAAMgAEwAAbAABgAAyXJAAyskiwbOg0GwAAYAANgAAyAATAABsAAGAADYAAMgAF3GICB5U6tgRQMgAEwAAbAABgAA2AADIABMAAGwAAYAAMlyQAMrJIsGzoNBsAAGAADYAAMgAEwAAbAABgAA2AADIABdxiAgeVOrYEUDIABMAAGwAAYAANgAAyAATAABsAAGAADJckADKySLBs6DQbAABgAA2AADIABMAAGwAAYAANgAAyAAXcYgIHlTq2BFAyAATAABsAAGAADYAAMgAEwAAbAABgAAyXJAAyskiwbOg0GwAAYAANgAAyAATAABsAAGAADYAAMgAF3GICB5U6tgRQMgAEwAAbAABgAA2AADIABMAAGwAAYAAMlyQAMrJIsGzoNBsAAGAADYAAMgAEwAAbAABgAA2AADIABdxiAgeVOrYEUDIABMAAGwAAYAANgAAyAATAABsAAGAADJckADKySLBs6DQbAABgAA2AADIABMAAGwAAYAANgAAyAAXcYgIHlTq2BFAyAATAABsAAGAADYAAMgAEwAAbAABgAAyXJAAyskiwbOg0GwAAYAANgAAyAATAABsAAGAADYAAMgAF3GIjMwKqrq/tmIpF4ezqdTiUSif/0ff/OmTNnzu7q6rqbiIYR0dqOjo6P7tix42h9fX1VOp3+ORHVEdHhVCr1webm5o3ulAlIwQAYAANgAAyAATAABsAAGAADYAAMgAEw4C4DkRhYnue9NZFI3NDY2Lh42rRpAwcMGPByMpm8JJVK3U9En/N9/2+e532diCp83/9yXV3dnclksrWxsfGW+vr6xel0eonv++e4WzYgBwNgAAyAATAABsAAGAADYAAMgAEwAAbAgDsMRGJgvUZvGRF1zZw5c2oqlXqyq6vrnGQy+Vff92vE9ZqamsllZWXLfd+v9Tyvuaura/HGjRu3i2viv1Op1PnNzc073CkVkIIBMAAGwAAYAANgAAyAATAABsAAGAADYMBNBqI0sKi+vv6WdDp9bSKR+J+urq6fJJPJ23zfPzdrcHmed8T3/VM8zzvq+34lEaVeM7CeSqVS1zc3Nz/rZtmAGgyAATAABsAAGAADYAAMgAEwAAbAABgAA+4wEKmBJWieNGnSoMGDBz+USCSeSKfTF/UxsNp93x/sed6rvu8P6mlgEdF1vu8/506pgBQMgAEwAAbAABgAA2AADIABMAAGwAAYAANuMhCJgVVbW3tqRUVFcv369WsF7Z7nfSadTs9NJBLn+r4vXtROtbW1kxKJxONNTU2e53nihe3i2s7X4ptFbGNj4yvFypZKpdKJRCQQ3VQTUIMBMAAGJAwkIpqUsR5AmmAADICB+DAQ1VogGMB6EB8doCdgAAyAAd31IBJ3p66u7t2JROLzEyZMWLxjx46yZDIpTmD9RzqdvpGIPuv7/lOe592UTqdHNDU1XVtfX/9dImoRL3FvaGg4P5VK3en7/hxZudPpdHr//nZKp2WRpX9d+HSjRlWRC3hdwiqUCbylPz4LIXCxttXVQyNZd1xaD3RGjGsa1OHGxflXhx9opzhb4KcwP4KbqNYC0Stb1gObNAYsOrNveLGoS3hc67RkW11014NINhKiQPX19UvS6fTlRNRJRPf7vv+N2traWWVlZXen0+mhRLQ5kUh8sLGxsX3GjBnDKioq7k2lUvWJROJYMpn8+IYNG9bICi0WqJYWdwys6uoqcgFv9wcfN7BmN1DAKxvtpXndRS2PHh2dgeXC/Kg7ElzTIPjRZUBmQrizFusyh7FVXDtRrQVZA8uG9cAmjQGL7gwTTjzqEg7Puq3YVhfd9SAyA0u3UEHiYWAFYS3+99g0aFXYBl4VlkozxsXa6i5SXJV1aT3Q4cw1Depw4+IXCDr8QDvF2QI/MLB0xlOQWJs0BixBFGD+HtTFPMdBWrCtLrp7AxhYQVQTw3tsErKMXpewuriBcqm+LmHNall3kZLNB6rXYWDlZ8o1DarqJRsHfoqbEC6dDoZ2dBmAgcXHmP3zt01zLbCYVn6w/KhLMN5M3yXqors3gIFluioh5bdpUMoocwkrDCyZGkr7uota1l2kuCoMA8v+DRCXVnrmcW2M6nAIboqzBX5gYOmMpyCxNmkMWIIowPw9qIt5joO0YFtddPcGMLCCqCaG99gkZBm9LmGFgSVTQ2lfd1HLuosUV4VhYMHACqIl18aoDkfgBgaWjl76GsNRrQWiH7asBzaNQWAJOprM3oe6mOU3aHbb6qK7HsDACqqcmN1nk5Bl1LqEFQaWTA2lfd1FLesuUlwVtmXDwsVHNo9rGtTlD/wUZgzcwMDSHU89552o1gIYWEGrZvY+m+YTYDGrlaDZUZegzJm9D48Q9uHXpQ2LTYNSNkxcwgoDS6aG0r7uopaj2rS4tB7ojArXNKjDjYvzrw4/0A4MLB299IwNsmEJ2la++2xZD2wag8DCqXC+XKgLH5ecmWyri+7eACewONUUYS6bhCyj0SWsLm6gXKqvS1izWtZdpGTzgep1WzYsqnhV41zToCov2TjwU5gxcAMDS3c89RxXUa0Fog+2rAc2jUFgCTqazN6HupjlN2h22+qiux7AwAqqnJjdZ5OQZdS6hBUGlkwNpX3dRS3rLlJcFbZlw8LFBwwaNSZdG6NqrHRHgRsYWDp66RmLE1hBmet9n01jEFh4NMGdBXXhZpQnn2110d0bwMDi0VHkWWwSsoxMl7C6uElwqb4uYc1qWXeRks0HqtdhYOVnyjUNquoFBp+cKWgHBpZcJYXnnajWAtEjW9YDm8YgsAQdTWbvQ13M8hs0u2110V0PYGAFVU7M7rNJyDJqXcIKA0umhtK+7qKWdRcprgrbsmHh4gMGjRqTro1RNVa6o8ANDCwdvfSMxQmsoMz1vs+mMQgsPJrgzoK6cDPKk8+2uujuDWBg8ego8iw2CVlGpktYXdwkuFRfl7Bmtay7SMnmA9XrMLDyM+WaBlX1AoNPzhS0AwNLrpLC805Ua4HokS3rgU1jEFiCjiaz96EuZvkNmt22uuiuBzCwgionZvfZJGQZtS5hhYElU0NpX3dRy7qLFFeFbdmwcPEBg0aNSdfGqBor3VHgBgaWjl56xuIEVlDmet9n0xgEFh5NcGdBXbgZ5clnW1109wYwsHh0FHkWm4QsI9MlrC5uElyqr0tYs1rWXaRk84HqdRhY+ZlyTYOqeoHBJ2cK2oGBJVdJ4XknqrVA9MiW9cCmMQgsQUeT2ftQF7P8Bs1uW1101wMYWEGVE7P7bBKyjFqXsMLAkqmhtK+7qGXdRYqrwrZsWLj4gEGjxqRrY1SNle4ocAMDS0cvPWNxAisoc73vs2kMAguPJrizoC7cjPLks60uunsDGFg8Ooo8i01ClpHpElYXNwku1dclrFkt6y5SsvlA9ToMrPxMuaZBVb3A4JMzBe3AwJKrpPC8E9VaIHpky3pg0xgElqCjyex9qItZfoNmt60uuusBDKygyonZfTYJWUatS1hhYMnUUNrXXdSy7iLFVWFbNixcfMCgUWPStTGqxkp3FLiBgaWjl56xOIEVlLne99k0BoGFRxPcWVAXbkZ58tlWF929AQwsHh1FnsUmIcvIdAmri5sEl+rrEtaslnUXKdl8oHodBlZ+plzToKpeYPDJmYJ2YGDJVVJ43olqLRA9smU9sGkMAkvQ0WT2PtTFLL9Bs9tWF931AAZWUOXE7D6bhCyj1iWsMLBkaijt6y5qWXeR4qqwLRsWLj5g0Kgx6doYVWOlOwrcwMDS0UvPWJzACspc7/tsGoPAwqMJ7iyoCzejPPlsq4vu3gAGFo+OIs9ik5BlZLqE1cVNgkv1dQlrVsu6i5RsPlC9DgMrP1OuaVBVLzD45ExBOzCw5CopPO9EtRaIHtmyHtg0BoEl6Ggyex/qYpbfoNltq4vuegADK6hyYnafTUKWUesSVhhYMjWU9nUXtay7SHFV2JYNCxcfMGjUmHRtjKqx0h0FbmBg6eilZyxOYAVlrvd9No1BYOHRBHcW1IWbUZ58ttVFd28AA4tHR5FnsUnIMjJdwuriJsGl+rqENatl3UVKNh+oXoeBlZ8p1zSoqhcYfHKmoB0YWHKVFJ53oloLRI9sWQ9sGoPAEnQ0mb0PdTHLb9DsttVFdz2AgRVUOTG7zyYhy6h1CSsMLJkaSvu6i1rWXaS4KmzLhoWLDxg0aky6NkbVWOmOAjcwsHT00jMWJ7CCMtf7PpvGILDwaII7C+rCzShPPtvqors3gIHFo6PIs9gkZBmZLmF1cZPgUn1dwprVsu4iJZsPVK/DwMrPlGsaVNULDD45U9AODCy5SgrPO1GtBaJHtqwHNo1BYAk6mszeh7qY5TdodtvqorsewMAKqpyY3WeTkGXUuoQVBpZMDaV93UUt6y5SXBW2ZcPCxQcMGjUmXRujaqx0R4EbGFg6eukZixNYQZnrfZ9NYxBYeDTBnQV14WaUJ59tddHdG8DA4tFR5FlsErKMTJewurhJcKm+LmHNall3kZLNB6rXYWDlZ8o1DarqBQafnCloBwaWXCWF552o1gLRI1vWA5vGILAEHU1m70NdzPIbNLttddFdD2BgBVVOzO6zScgyal3CCgNLpobSvu6ilnUXKa4K27Jh4eIDBo0ak66NUTVWuqPADQwsHb30jMUJrKDM9b7PpjEILDya4M6CunAzypPPtrro7g1gYPHoKPIsNglZRqZLWF3cJLhUX5ewZrWsu0jJ5gPV6zCw8jPlmgZV9QKDT84UtAMDS66SwvNOVGuB6JEt64FNYxBYgo4ms/ehLmb5DZrdtrrorgcwsIIqJ2b32SRkGbUuYYWBJVNDaV93Ucu6ixRXhW3ZsHDxAYNGjUnXxqgaK91R4AYGlo5eesbiBFZQ5nrfZ9MYBBYeTXBnQV24GeXJZ1tddPcGMLB4dBR5FpuELCPTJawubhJcqq9LWLNa1l2kZPOB6nUYWPmZck2DqnqBwSdnCtqBgSVXSeF5J6q1QPTIlvXApjEILEFHk9n7UBez/AbNbltddNcDGFhBlROz+2wSsoxal7DCwJKpobSvu6hl3UWKq8K2bFi4+IBBo8aka2NUjZXuKHADA0tHLz1jcQIrKHO977NpDAILjya4s6Au3Izy5LOtLrp7AxhYPDqKPItNQpaR6RJWFzcJLtXXJaxZLesuUrL5QPU6DKz8TLmmQVW9wOCTMwXtwMCSq6TwvBPVWiB6ZMt6YNMYBJago8nsfaiLWX6DZretLrrrAQysoMqJ2X02CVlGrUtYYWDJ1FDa113Usu4ixVVhWzYsXHzAoFFj0rUxqsZKdxS4gYGlo5eesTiBFZS53vfZNAaBhUcT3FlQF25GefLZVhfdvQEMLB4dRZ7FJiHLyHQJq4ubBJfq6xLWrJZ1FynZfKB6HQZWfqZc06CqXmDwyZmCdmBgyVVSeN6Jai0QPbJlPbBpDAJL0NGU/77Ozk766U/v6XdSUZchQ06hw4ePUTpNdNVVn6Dy8vJ+540iATQWBevyNoN8oQEDS85rSUTYNChlhLuEFQaWTA2lfd1FLUe1abFlw8KteNc0qMsf+CnMGLiBgaU7nnoaw1GtBTCwglbN7H02zSdxwLJhw3q6+o5P0aDhg9kKd7Stg+6+7sfU0DCTLWeYieJQFy68tmHRXQ9gYHEpKeI8NglZRqVLWGFgydRQ2tdd1LLuIsVVYRhY+Zl0TYO6egI/MLB0NdPTpKmurqKWlvbMyQX8vc5AkG/cOfmzZT2waX4CFk6FEwkDa8mKO2jY5JFsiQ9ub6WvLrgOBhYbo8ET2TZedPcGMLCCaydWd9okZBmxJrAOGFBGAwdWUCKRoOPHO+nYsROyboR23QTe0DofoCGX8LqENWvG6i5SASSU9xZbNixcfGCTrcZkKYzRIUMGUllZkrq6UnTkyHHxeJQauH5GlQI3/YTYr9vBT3HzM6q1QPTKlvXAJo0BS7+mm5NuhoF1Mp/QGK/GuLIF+UIDBhYX+xHnsWlQyqjkxlpenqShQwdlNgCvfbCh9vZj9OqrnbKuhHKdG28one5HIy7hdQkrDKx+DAqDt7qmQV0q485PVdUpdMopFTlY4guYgweP6sIMFB93bgKBYrwJ/MDAYpRT3lQ2aQxYeNUCAwsGFq+izGWDgdWHW1u+YVGRjE0TvwwvN9bKyoE0ePCAXs2KE1jCxIrDHzfeOGAq1geX8LqEFQZWPEeeaxrUrULc+Rk5sjL35Uv2C5gDBzoyp7FM/8WdG9P4ZfnBDwwsmUb6e90mjQFLf9XQ+34YWDCweBVlLhsMLBhYTrxrgXuRq6wcQIMHD+xjYB2n9vZXzY1WjczceDWajiTUJbwuYYWBFclwkjbqmgalhPQJiDs/I0YMpvLyslyvU6k0HThwhMT/mv6LOzem8cvygx8YWDKN9Pe6TRoDlv6qAQaWjEFoTMZQNNdhYMHAgoEVYOyJ914NHz4otwno6uqiQ4eOUWen+W+wVbpr04QLvL0ZcLG2Ub33xKUTuSrjLBvjmgZ1uMmarnF+Ebf4AmbQoAGZ9zeKd1+JR9/DOj0M7RRXE/iBgaU73+jG26QxYNGtfvF4nMA6mR9ojFdjXNlgYMHAgoEVcDSJwdO9CSA6evREKN9eq3bVpglXBbNLeF3CmjUDYGCpjILwYlzToC6zpcBPRUUZDRhQTp2dXaG+u7EUuNGtN2c8+IGBxamnfLls0hiw8KoFBhYMLF5FmcsGAwsGFgwsc+Mrssw2LeoqJLqE1yWsMLBU1B9+jGsa1GUY/BQ3IeJ8Ok231tzx0A4MLG5N9c1nk8aAhVctMLBgYPEqylw2GFgwsGBgmRtfkWW2aVFXIdElvC5hhYGlov7wY1zToC7D4AcGlq5msvHQDgysoNpRvc8mjQGLatXV4mBgwcBSU0r0USVlYHme94V0On1VIpEQryZZOXTo0E8dOnRI/PfXiGhP92Yn8XBjY+ON9fX1Vel0+udEVEdEh1Op1Aebm5s3yih36Z0nNk38srq6hDW76XfpW26X6usSVhhYspktmuuuaVCXZfADA6RGI04AACAASURBVEtXMzCw5IwF2bDIs6pH2LI/sGl+AhZ1/apEwsCCgaWikzjEBFkPElF03PO8eUR0z/Hjxxds2bLlmOd5P0skEi+k0+nZiUTij42Njb/v2a+6uro7k8lka2Nj4y319fWL0+n0Et/3z5H13ZYFSobTNZPDpkUOtbV7gZHV10Ut4x1YMlWEe901DeqyC35gYOlqBgaWnLEgGxZ5VvUIW/YHNs1PwKKuX5VIGFh27y9sGy+6e4NIDKyamprasrKy8b7vPyXk5XnedUQ0kYjeTETbiGgyEb2YSqU+19zcfMjzvOaurq7FGzdu3P5afHMqlTq/ubl5R7FBbMsCpTJR2SRkGV6XsLpmTrqG10Ut6y5SsvlA9bpL64EqJ66NNx1eYELI2XJt/pIz0jsC/BQ3P6NaC0SvbFkPbNIYsOjOMMXjYWDBwOJVlLlsQb7QiMTA6klBTU3NmLKyshXJZPKqVColjKyv+r7/oud5/0ZEwuT6mOd5R33frySi1GsG1lOpVOr65ubmZ2FgdTNg08QvGyIuYXWttq7hdVHLUW1abNmwyOZH3euuaRD86DJQ3IRw6fF2XeYwtmBg6WpGN94mjQGLbvVhYOkyBo3pMhZOfMkZWA0NDdNSqdRDRHSf7/vf7EnTtGnThg8YMKDZ9/1qz/Ne9X1/UE8Di4iu833/OZmBtX9/O6XT4RQgylZE8UeNqiIX8LqENWvouFJb1/C6qOXq6qGRfHEiDCwX5kfddcg1DYIfXQaKmxAurU26zGFsyczPaNYC0Stb1gObNAYsujOM3MC65dk7aNjkkWyJD25vpRsXXkcNDTPZcoaZCBoLk231trqNRb31IJKNhIBUV1f3hkQiIcyrb/i+f1dtbe3oZDL5XvH/xfWGhoZRqVRqne/74zzPEy9sP9f3/Z3imnikMJFInNvY2PiKzMBSpw+RYAAMgAEwYJqBREIsVeH/iQ1L+K2iRTAABsAAGMjHQFRrQdbAQlXAgM0MrFu3jr6w9GZ2A+vbl95Es2bNspk6YIuAAd31IJKNxGtm1UtE9Gnf9/9X8DRhwoTBQ4YM2ZxIJC5qbGx8yfO8r6fT6dFNTU2fqa+v/y4RtYiXuDc0NJyfSqXu9H1/joxfW75hkeEU121ylWV4XcLqWm1dw+uilnW/ZZHNB6rXXVoPVDlxbbzp8JKNdW2M6nAEboqzBX4K8xPkG3cdbcpibVkPbNIYsMhUq3ddvAMLJ7B6cwaN6WkorOgg60EkBlZ9ff2SdDr9eSLyhfciTvMmEomH0+n0E0T070Q0kIg2JBKJjzY2NrbPmDFjWEVFxb2pVKo+kUgcSyaTH9+wYcMaGbEuvfPEpud6ZXV1CWt2g+nSe0Zcqq9LWLNaxjuwZDNcuNdd06Auu+BHZkJUUUuLG69qgHZ0GSiunajWAtErW/YHNs1PwMI3vkQmvMT9ZD6hMV6NcWUruXdgcQEvlMeWBUqFJ5sGpQyvS1hhYMnUUNrXXdRyVJsWl9YDnVHhmgZ1uHFx/tXhB9opzhb4gYGlM56CxNqkMWAJooDC98DAgoHFqyhz2WBg9eHWpQ2LTRO/bIi4hNXFDZRL9XUJa1bLMLBkM1y4113ToC674Ke4CeHS6WBoR5cBGFh8jOXPZNP8BCy8aoGBBQOLV1HmssHAgoHlxFF+mxY5lekAeFVYKs0YF2sLAyteWnVNg7rsgx8YWLqaycZDOzCwgmpH9T6bNAYsqlVXi4OBBQNLTSnRR8HAgoEFAyv6ccjeA5sWdRVyXMLrElZR+yCLlIpmVGJcOpGrwgc22WosuTZG1VjpjgI3xdkCPzCwdMZTkFibNAYsQRRQ+B4YWDCweBVlLluQvUEkL3E3R0HvzC5tWGya+GX6cAmri5sEl+rrElYYWLKZLZrrrmlQl2XwU9yEwCOE4Ed3TEW9Foj2bdkf2DQ/AUuQkQQDS4c1aEyHrfBiYWD14dqWBUpFQjYNShlel7DCwJKpobSvu6hlPEIYL826pkFd9sEPDBpdzWTjoZ3i2olqLYCBFVTRZu+zabzEAQtOYJ2s1zjUhWsU2YZFdz3ACSwuJUWcxyYhy6h0CSsMLJkaSvu6i1rWXaS4KuzSFxo6nLmmQR1uXJx/dfiBdoqzBX5gYOmMpyCxNmkMWIIooPA9MLBgYPEqylw2nMDqw61LGxabJn7ZEHEJq4sbKJfq6xLWrJZhYMlmuHCvu6ZBXXbBT3ETAo8Qgh/dMRX1WiDat2V/YNP8BCxBRhIMLB3WoDEdtsKLhYEFAwsvcQ9vvIXWkk0TrgppLuF1CWvUmxZbNiwqY0gnxjUN6nDj4hcIOvxAO8XZAj/Fzb2ovsyAgaUzysOLtWm8xAELTmCdrN041IVrRNmGRXc9wCOEXEqKOI9NQpZR6RJWFzdQLtXXJawwsGQzWzTXXdOgLsvgp7gJgRNY4Ed3TEW9FsDAClIx8/fYNNfGAQsMLBhY5kctTws4gdWHR5e+cY/DZMkjY3kWl7DCwJLroZQjXNSy7rcsXPV1aT3Q4cw1Depw4+L8q8MPtFOcLfBT3NyLai2AgaUzysOLtWm8xAELDCwYWOGN3v61BAMLBhYeIezfGIrl3XFYCMMkxiW8LmGN+lt3GFj5R7FrGtSdy8BPcRMCJ7DAj+6YinotgIEVpGLm77Fpro0DFhhYMLDMj1qeFmBgwcCCgcUzlmKVJQ4LYZiEuITXJaxRb1pgYMHACjKPuTZGdTgCN8XZAj/FzT2cwNIZbfbP3zaNl2JYOjs76ac/vaf/xe+T4aqrPkHl5eW5f4WBBQOLXWSGEsLAgoEFA8vQ4IoyrU2LugqPLuF1CSsMLBX1hx/jmgZ1GQY/xU0InMD6/9l7E+i4jvNM9OvGvpFYCZAESJAELsBd3CSKpLhIpizZkm1lYmdsx88vyXNmkmf7PUfHGU/Gssexx2PHT/aLkziJl5n4ycvEzoxja6F2meIiUtxEigtwAa4AQYDEvgPs5Z1q8DYbje6+VdW363ZXFc7REYj7V/31f/VV/V1fV9XV+LCOKbdzAfEvyxcaMs1PqsRChKVPPf3vUVBayDN0YpaZGBzHD578BzQ3r9QCVgJUVeGYY8QSVJEWsLSApQUsQYNNpBuZJlwa3FSKV6VY3V60yLJgoRlDLDaqcZAFG4uzWqSJjZrmTmI2aXwSi3t6BxbrbDTXXiaOqRKLqJ1Rovwkz2JxNajCMXGIOuNJC1hawNICljNjKa1qkWnCpQFWpXhVilULWDTsF2+jGgdZEdb4JBYhtLin8WEdU27nAuJfli80ZJqfVIlFlLAkyg/P+HerjCoccwtfXr9awNIClhaweEdPGpeTacKlgVmleFWK1e1FiywLFpoxxGKjGgdZsLE4q0Wa2Khp7iRmk8Ynsbind2CxzkZz7WXimCqxiBKWRPlJnsXialCFY+IQdcaTFrC0gKUFLGfGUlrVItOESwOsSvGqFKsWsGjYL95GNQ6yIqzxSSxCaHFP48M6ptzOBcS/LF9oyDQ/qRKLKGFJlB+e8e9WGVU45ha+vH61gKUFLC1g8Y6eNC4n04RLA7NK8aoUq9uLFlkWLDRjiMVGNQ6yYGNxVos0sVHT3EnMJo1PYnFP78BinY3m2svEMVViESUsifKTPIvF1aAKx8Qh6ownLWBpAUsLWM6MpbSqRaYJlwZYleJVKVYtYNGwX7yNahxkRVjjk1iE0OKexod1TLmdC4h/Wb7QkGl+UiUWUcKSKD8849+tMqpwzC18ef1qAUsLWFrA4h09aVxOpgmXBmaV4lUpVrcXLbIsWGjGEIuNahxkwcbirBZpYqOmuZOYTRqfxOKe3oHFOhvNtZeJY6rEIkpYEuUneRaLq0EVjolD1BlPWsDSApYWsJwZS2lVi0wTLg2wKsWrUqxawKJhv3gb1TjIirDGJ7EIocU9jQ/rmHI7FxD/snyhIdP8pEosooQlUX54xr9bZVThmFv48vrVApYWsLSAxTt60ricTBMuDcwqxatSrG4vWmRZsNCMIRYb1TjIgo3FWS3SxEZNcycxmzQ+icU9vQOLdTaaay8Tx1SJRZSwJMpP8iwWV4MqHBOHqDOetIClBSwtYDkzltKqFpkmXBpgVYpXpVi1gEXDfvE2qnGQFWGNT2IRQot7Gh/WMeV2LiD+ZflCQ6b5SZVYRAlLovzwjH+3yqjCMbfw5fWrBSwtYGkBi3f0pHE5mSZcGphVilelWN1etMiyYKEZQyw2qnGQBRuLs1qkiY2a5k5iNml8Eot7egcW62w0114mjqkSiyhhSZSf5FksrgZVOCYOUWc8aQFLC1hawHJmLKVVLTJNuDTAZlq8Xq8HgUCQJrQ5NpkWK1eQEYV4klSyPq3yWsDSIgQPl1QboywYqYCNnt9ZGEFv62YuIK2UJR/INAZViUWUsCTKD/2od99SFY65jzRbC3jygYfNRWZZy5KgaFCXaVDaxatSrAQLHa8dI9x5Pjblw+Gz3Thl3sIGowrb1tSgKC+bqTEq9q1b37qrlA9YSKgaB1mwUXH+ZcFHZu7o+Z2FCey2PAsWdi/xS8iSD2Qag6rEIkpYEuXHyXGZ6rpU4ViqcXS6fp58oAUsp3vBpfpkGpR2EKoUq4oLqEzp31dOdOLnr5hhun50r4G9m2rt6DvreabEyhRUAmOeJOWUb1kWLE7hYdWjGgdZ8dP4xEdMZmz0/M46Utjs3cwFpKWy5AOZxqAqsYgSlkT5YRv57lqrwjF3UWb3zpMPtIDFjnNalpBpUNoBrFKsWsCyY4M7z8mxkm/89CRarg6EG9C8tAxf+PhGpuOEKnJZ78Byh7PxvKrGQVb0NT7qCVh6fmcdJez2PAsWdi/xS2gBy0k0nalLprk2USyihCVRfpzpfTG1qMIxMWg654UnH2gByzn8Xa1JpkFpB6RKsWoBy44N7j3X39CzY8+TpNi9xC4hy4LFKTyselSbT1nx0/ioJ2CRiPX8zjpS2OzdzAWkpbLkA5nmJ1ViESUsifLDNvLdtVaFY+6izO6dJx9oAYsd57QsIdOgtANYpVi1gGXHBvee6ztS2LHnSVLsXrSAxYKZavMpCzYqzr8s+MjMHT2/szCB3dbNXKAFLPb+ElFCpvlE78ASwRh2H6pwjB0Zd0vw5AMtYLnbZ455l2lQ2oGiUqwqLqAyrX/1W6rsRuzd5zxJir72xJayfOPuFB5WPZk23pyO364+jU98hFTARs/vdiOE77mbuUALWHx9lupSMs0nWsBKNVv46leFY3zouFeKJx9oAcu9/nLUs0yD0g4YlWLVApYdGzL7uYpc1ndgpRdnVeMgK/oaH7UFLFa+RNpr7iTmjlu5QAtYybA6dWVlGi9awEodT5KpWRWOJYORG2W1gBWFukrfuMs0KO0Gj0qxagHLjg2Z/VxFLru1aFEpH7CMCtU4yIKNivMvCz6aO4nR0vhoAYtlPPHYysQxVWIRdTeVKD88vHWrjCoccwtfXr9awNICFnp7RxAM8lIoM8rJNAHRIK7jpUEpM21U7FstYKUXV1XjICv6Gp/EIkRlZYkSnztYeaPFT3txz61cQFomyxcaMs1PqsQiSlgS5YdnbnSrjCoccwtfXr9awNIClhIfJGWagGgGu46XBqXMtFGxb91atMiyYHGa6apxkBU/jY8WsFg5Y9lr7iTmjlu5QAtYvIxObTmZxos+QpharvDWrgrHePFxq5wWsLSApQUst0ZfCv3KNOHSwKRSvCrFau1IcGvRogWs2KNPNQ7SzEGRNhofLWCxckYLWPaI8SxY7Gult5AlH8g0P6kSi6idUaL80I869y1V4Zj7SLO1gCcf6Evc2TBOW2uZBqUdyCrFai36VTqmoVL/qhSrFrDsZjZ3nqvGQVaUNT5awGLljBaw7BHjWbDY10pvoQUseqxEWco01+odWKJYw+ZHFY6xoeK+NU8+0AKW+/3mSAtkGpR2gKgUqxaw7NiQ2c9V5LLegZVenFWNg6zoa3y0gMXKGS1g2SPGs2Cxr5XeQgtY9FiJspRprtUClijWsPlRhWNsqLhvzZMPtIDlfr850gKZBqUdICrFqgUsOzZk9nMVuawFrPTirGocZEVf46MFLFbOaAHLHjGeBYt9rfQWWsCix0qUpUxzrRawRLGGzY8qHGNDxX1rnnygBSz3+82RFsg0KO0AUSlWLWDZsSGzn6vIZS1gpRdnVeMgK/oaHy1gsXJGC1j2iPEsWOxrpbfQAhY9VqIsZZprtYAlijVsflThGBsq7lvz5AMtYLnfb460QKZBaQeISrFqAcuODZn9XEUuawErvTirGgdZ0df4aAGLlTNawLJHjGfBYl8rvYUWsOixEmUp01yrBSxRrGHzowrH2FBx35onH2gBy/1+c6QFMg1KO0BUilULWHZsyOznKnJZC1jpxVnVOMiKvsZHC1isnNEClj1iPAsW+1rpLbSARY+VKEuZ5lotYIliDZsfVTjGhor71jz5QAtY7vebIy2QaVDaAaJSrFrAsmNDZj9XkctawEovzqrGQVb0NT5awGLljBaw7BHjWbDY10pvoQUseqxEWco012oBSxRr2PyowjE2VNy35skHrglYhmH8WTAY/AOPx0PyyLHFixf/u56enma/3/8DAPMBnB0fH/9kZ2fnRFNTU0kwGHwGQCOA0UAg8LH29vaLdpDLkqDs4lRN5JBpAtJ9OxcBlfpXpViteUoLWDSjXpyNahxkRVbjowUsVs5oAcseMZ4Fi32t9BayrA9kmp9UiaWl5QK+dvRpzK8rpyesjeVQRz++eN+TaG5eGbYU5cexIARUpArHBEDpqAuefOCKgGUYxhYAP5yenr7vypUrk4Zh/Njj8ZwKBoOfBPAZ0zQPGobxFQA5pmn+RWNj43e8Xm9/a2vrV5uamvYEg8Gvmaa53Q49WRKUXZxawKJBKHNtZJpwaXpBpXhVilULWDTsF2+jGgdZEdb4aAGLlTNawLJHjGfBYl8rvYUs6wOZ5idVYhElLInyQz/q3LdUhWPuI83WAp584IqAtWLFioasrKyFpmkeICEahvGkx+NZHQwGd5mmuYL8bcWKFXVZWVlvmKbZYBhGu9/v33Px4sWOO/btgUBgd3t7e2ciiGRJUDQ0kGlQ2sVrxTo4OIb8/Bx4vR74/UGMj08jEAjaFc+45yr1rRZjM46eTA3mSVJMDhIYq5QPWDBTbX5hwSaZ+Sg3Nxv5+VnweDzw+QIYG5tmdZ329po7ibtI45NY/HRrNy5plSz5QCaOqRKLKGFJlJ+0T1QRDVSFY5nUJ9bnLNZ84IqAFQnsihUrFmRlZR31eDx/HwwGHzNNc+ed51mGYYyZpplvGMaEaZpFAAJ3BKwDgUDg8+3t7Ue0gDWDgEyD0m7gWbFOT98OiVfWD1kkjIxM2RXPuOcq9a2qXO7tHUFQPu11zljTAlb6TT+qzS+sPcCDT1aWFyUleaG8bP1MTfkwPn6b1X1a2/Ngk9YBOdw4jY8WsBymVMycWllZAhk+Q8g0XhLFIkpYEuUn1Rx3sn5VOOYkZiLq4lkbuCpgNTc31wcCgecA/CQQCOz3er3fjBKwRkzTLDQMY8o0zYJIAQvAk6Zpvm0nYPX1qbMwrKgogQrxEqKXlxfD7/fP6v5gMIihoUkRY02oDxKvKn1rCViqxKti31ZWznMl75Bv3FWYH1knJ9U4KAKfgoIc5OVlz3Ll98v3BYvmTmI2aXwSC1hu5QLSKlnygUwcUyUWIix99Yjzd2A9tXXuHVgi/LDmVDftVeGYmxjz+J4RFtnWBq4sJEhwjY2N93g8HiJefd00ze9FHhkkzxsaGmo9Hs/rbW1thmEY5ML2naZpXifPyJFCj8ezs7W1tctOwOIBUpdJfwSIWBUIBMiHkHBjvV4vyH/6RyOgEUhfBDzkTJULP2TB4oJb7VJBBAjVor9g0flJQSLokBMi4FYusAQs3T0aATcQOHfuHP5s3186fon7tx/9ElavXh0OSZQfNzDUPuVDgDUfuLKQaGhoqPJ6vWcA/Ilpmv9qdYNhGKcBfJrcjWUYxpeCwWBZW1vb55qamv4aQC+5xL25uXl3IBD4jmmaG+y6T5ZvWOziJM9lUpXt4rViHR+fBLln5M6HEUxM+DA97bMrnnHPVepbVbmsys4gnm9ZnBqwKuUDFsxUm19YsElmPiouzkNWlid0Bxa5m5Hc0UiOucv0o7mTuDc1PvHxcTMXWAKWDHlXJo6pEovegeVeFlSFY+4hzOeZJx+4ImA1NTV9LRgM/t8ATKK9kN28Ho/neb/f//OsrKwfBoPBeQAuezyej7W2to4sX758fk5Ozo8CgUCTx+OZ9Hq9f9jS0vKuHUyyXNJoF6f1IVuWc/B28UaeYSbfaufkeDE97ZfyAnfV+la1eGU6j283bq2+Zb2okaZeGhuV8gENHpaNahxkwSbZ+SgnJyt0TyP5YkXG/X+aO/YCliqfy3jGlVu5wBKw9L1RrL2WWnuZ5hN9B1ZqucJbuyoc48XHrXIZdwdWqoFSacEi06C044VKsSa7gLLDMh2fq9S/KsWqBax0HG1qvQCEpwdUG6MsGGlstIDFwpdIW54FC6+vWOVkWR/INAZViUXU5eqi/Dg5LlNdlyocSzWOTtfPkw9c2YHldODx6pMlQdHgJdOgtItXpVi1gGXHhsx+riKX3frWXaV8wDIqVOMgCzYqzr8s+GjuaAGLhS9awOJFK345mcagKrGIEpZE+XGe1amrURWOpQ7B1NSsBawoXFVasMg0KO2Gh0qxqriAUql/VYrV4rIWsOxmOLHPVeMgK7oaHzUWz6y8oLHX3EnMHbdyAWmVLOsDmTimSiyihCVRfmjmwnSxUYVj6YI3bTu0gKUFLMhwpt+O8DJNQHaxagGLBqHMtVGRy24tWmRZsDjNdtU4yIqfxkcLWKycsew1d7SAxcsd2nIycUyVWEQJS6L80HI1HexU4Vg6YM3SBi1gaQFLC1gsIyZDbGWacGkgVylelWK1xFgtYNGMAnE2qnGQFVmNjxawWDmjBSx7xHgWLPa10lvI8oWGTPOTKrGIEpZE+aEfde5bqsIx95FmawFPPtB3YLFhnLbWMg1KO5BVitVa9Kv0JiOV+lelWLWAZTezufNcNQ6yoqzx0QIWK2e0gGWPGM+Cxb5WegstYNFjJcpSprk2USyihCVRfkTxwwk/qnDMCaxE1sGTD7SAJbKHUuhLpkFpB5NKsWoBy44Nmf1cRS7rHVjpxVnVOMiKvsZHC1isnNEClj1iPAsW+1rpLbSARY+VKEuZ5lotYIliDZsfVTjGhor71jz5QAtY7vebIy2QaVDaAaJSrFrAsmNDZj9XkctawEovzqrGQVb0NT5awGLljBaw7BHjWbDY10pvoQUseqxEWco012oBSxRr2PyowjE2VNy35skHWsByv98caYFMg9IOEJVi1QKWHRsy+7mKXNYCVnpxVjUOsqKv8dECFitntIBljxjPgsW+VnoLLWDRYyXKUqa5VgtYoljD5kcVjrGh4r41Tz7QApb7/eZIC2QalHaAqBSrFrDs2JDZz1Xkshaw0ouzqnGQFX2NjxawWDmjBSx7xHgWLPa10ltoAYseK1GWMs21WsASxRo2P6pwjA0V96158oEWsNzvN0daINOgtANEpVi1gGXHhsx+riKXtYCVXpxVjYOs6Gt8tIDFyhktYNkjxrNgsa+V3kILWPRYibKUaa7VApYo1rD5UYVjbKi4b82TD7SA5X6/OdICmQalHSAqxaoFLDs2ZPZzFbmsBaz04qxqHGRFX+OjBSxWzmgByx4xngWLfa30FlrAosdKlKVMc60WsESxhs2PKhxjQ8V9a558oAUs9/vNkRbINCjtAFEpVi1g2bEhs5+ryGUtYKUXZ1XjICv6Gh8tYLFyRgtY9ojxLFjsa6W30AIWPVaiLGWaa7WAJYo1bH5U4RgbKu5b8+QDLWC532+OtECmQWkHiEqxagHLjg2Z/VxFLmsBK704qxoHWdHX+GgBi5UzWsCyR4xnwWJfK72FFrDosRJlKdNcqwUsUaxh86MKx9hQcd+aJx9oAcv9fnOkBTINSjtAVIrVbQHL6/UgEAjG7BLyjPxEP8/O9ob/Fv2MlCH/+XyBuN1s9W9//yj8/rm+c3OzMD3tn1M+UVuJcfRz0s5Y7Yi0ixdjIo7atSOybCSXPZ74WMfyx+LHbkyJes6TpJxqmywLFqfw0ItsOiRVyzd0qMxYqYANyRNkrs3OJnnHlzB3RWJHyuTkeDFvXiF6e0dAO79HzuvxcpRd/omVl1n6VYStm7mAxCdLPpBpDKoSS0vLBXzt6NOYX1fu2FAb6ujHF+97Es3NK8N1ivLjWBACKlKFYwKgdNQFTz7QApajXeBeZaIGJfEzNDSAwsJiZGfnuBKwqFhdCS6GUzfiHZvy4fDZbpwyb2GDUYVta2pQlJcdah15ZnYOoq1zCJeuD2GDsQA71tZg6rYfB87cwIUr/VhSMw8V8/IxrzAH61ZUhModPHMDp9puhZ7VVBTgnhWVqJyXHxa7rA/r49M+HLlwE8fP94R8k7oLcrPRMziBQ2e70Xp1AE1Ly7B9TQ2qSwtC7Xn7fDeGxn1orCtBU10FsiNmNl8Q2P9OJ060zMRC2vP2hZuYmPYhL9eLB9YuQnlxHqZJXGd7cNnsxdLGCmSXFuDmtUGM3BxF87oa1DdUIi9/BoNYol5k+WVGJZrW1iAnN2tOj0YuUEjfZuXmYN/hyzGxjsXBaD/Gmmrk3ukbu4VNPDFSFNd5kpRTbZNlweIUHlY9bswvTseQqL6pqXH4/YFQzuL5kR0fHkwykTusgn//6BSu940iLycbA8NTuHxjGFduDGPtikrcv7o6lDNi/ZB8dLFjCBiZwvjQJCbGpjG/NB+Tkz7MKy1AvPk6Mufe01iJ0vl5ONvej6ULS7ChoTKuP6sNJC+0vNuNq+19qFlWDs+8XKxcXhHO28n0cyrKmaHFsAAAIABJREFUupkLSDyy5AOZ5idVYhElLInyk4r5IVV1qsKxVOGXqnp58oEWsFLVG4LrFTEoBwf78I//+Hf4/vf/Effeey+eeuo/Y9Wq9YIjVeNb30hQRfRtdCe+cqITP3/FDP/5o3sN7N1UGxKLjrX2oHdwCi8cvhJ+/vGHDYxM3MZvDlwO/23XhsWhb65rygsxPuXDr9+8FH62994lIVHK7BjA3i11uNI9gparA2iuL8OC0kL86Nlzs2wXledjYMyH3xy4W8cHHliOD22vx6n23lD51msDaKwrw/ikD8UF2bhvVTWOXuhBy5UBNNSWwuf348A71/G/vW8VOnpG0d4xiIa6UtTVFGNr0wKcPXEdB15pC/vdeP9S9PWMoGR+ATxeIC8/B10dg5hfU4KimmKsWjF7cRBd/p576zCvNB+Nq2cEpliiYHF+Nl57pws/2dcyB+t4AyvazwN7G7Fm0+K445BX8ErFwOZJUk61Q5YFi1N4ZKIIwRr7gQOv4otf/E8YGBjAU099GU888XvIzp4RoWl/3Jh/advmtl0mYJPoy5hE+J3vGMTYxDQ6esZgXhvAwsoi3ByYCH1B86Fdy/GB++tjFn/jVCdyR3yYX5iDgb5x9N0aRUVVcSgXHHnzErY/2BBzvrZy7sr6cqxfVoaiqQBudQyhdGEJssoKsHHVgoRi1JnjnbjW3of5ZYUhnwvrSpG9oBCbVla7TZOY/t3MBaRBsuSDTBiDtARUJRZRwpIoP7T9mw52qnAsHbBmaQNPPtACFgvCaWwrYlD+4hc/wac//adhFHbv3oOf/vSXyMnJFYqMiFiFBmTjTHS8RHT6xk9PhgQl66d5aRm+8PGNeOV4B0YmfDh/uR/tnYPh59vXLcStwQmY1+7+jYhGFfPz4fWSHUvA0XPdYXujrhTD49MYHJnEnk1LsO+tu2LYe+5dgt+e6IDvzvFBUk9ddTGu3xyF2XG3flLHf/6je/GTl9vwwuHZwtmhM11479Z6vHTkSrieR++vR//wBCrmF8wS3963rR4fe08j/uePT6IzIuaFdfOxpL4cxw5fwap1i3D21PVw+1dsWISsqkI8tLE29DeC2a9/+s7s8rXzMTlxG2s2Lg4tWGKJgo/cW4dv/OQkLsTAOtZuqVh+apeW4YMfvyfuUU9WwSuV3OdJUk61R5YFi1N4WPWInl+cbn+8+rq6rmHbtnsxPj4eNnnhhZewefP9TE2QFR8mEOIYZwI28b6MSRQ/2Q38v/ZfRtATnPXFC/lShuSW5bXz8cVPbJ5znJDMz7/cfxEVo7eRl5eNd97uCLshX2h0XO5HQWHunPnayrkkpz5wz2JUB4CLp7pm5RsiRj24YSbfRP+E8sLP3kFpWeGsPLX2/qXYuWd53NzgBAd463AzF5A2y5IPMmEM0nJElVhECUui/ND2bzrYqcKxdMCapQ08+UALWCwIp7GtiEH59NNfxze/+Y0wCvn5+Thz5gJKS2eOiIn6ERGrqFho/LgRb6wP/e/dUocfPHcetwYnsbCiEPsjBJ2P3dmB9Wz0DiyPB7k5XkzfDuCNk53hcIlI9cbxDqxaVo7JKT/aIsQwS9zq7ptZeJJFw5Xu4dDuqlffvjarjj98XzO+/KO30RYhbBHBa3RiGiWFuRgZn4ZVT2NtKdY0lOPsxf5Z9o11pfjyH2zBybeuzdqBtXl7fWjHFTkCkl+QgxudQ2HfNbXz0F9egE89tiq8OIgWitZsWIzzp7uwqK4UT3xiA77+zIk5ouB//P2NeOXk9ZTtwOIRvGg4yWvDk6R4fUWXk2XB4hQeVj1uzC9OxxCrvpMnj+KRR/bOevT97/8IH/rQh5ncy4oPEwhxjNMdm0RfxiQ6Tl1QkIMfv9iCi51DMXMLOTb/e3tWxBSGXn+nE4tzc9FyqiuUP6yfRXXzMTXpw+oNi7F646I5iJKcS3Lk0pp5WDA0hW6bfBNZAYnz7beuobOtd1aeWrSkFE/8/gYtYMXgryz5IN3HIMs8o0osooQlUX5Y+thtW1U45jbOrP551gZawGJFOU3tRQzK/ftfxYc//DthBD796U/jy1/+OoKx7/hOGVIiYk1Z4zkqdiPeeMcuXj3Zieu3xkJHKRaUFYR+X1lfhoe31MW9A4uETO6/ql1QjKs3hrF04TxUlxXgJy+1Ijfbi4e2zN6B9cGdyzGvOBdHz3ZjYcXMsQ1yhONj723Cte6RkM/FVUWhu0F2r1uEXx26jGjh7ODpLjxyfz1efOsK/HcuoSc7rSrm52Jg5DaeO3h3x9ZjO5bhd3Ysm3MHVk5ZAYavD+OdI9ewav3cHVjeqkK8584OLBKjdVTvUustlFUUYWhgHB1XBmAd8YslCj68uTbld2DpHVgzg06WBQvHFJKwiBvzi9MxxKpvZGQQH/zg+3D27NnQ46KiIrz++ptYtqyRyb2s+DCBkKECFmk2zw4sUu5fD13GbV9wzu7gksJsVMwrwLZVsY/mkdzZdq0f/psTeDviC53N25bCn+XBxs21Me8sJOXeOteNvqFJlE0H5uzAis430V1y/EIP/LfGcfLw1fCj7e9pwLrNsXdtOdH/ydTBs2BJxl90WVnygUzzkyqxiBKWRPlxclymui5VOJZqHJ2unycfaAHL6V5wqT4RgzIQ8OPAgddx9OgRLF68GI888jgqKqqERywiVuFBJXDoZrzRF9+SD9lnLvaF7pzqvDmCbesW4Z6ou6Ci30JoiWFn2nuxY91CbDSqMO0LhC+Jj74Da/c9i2DUV+J69xDePN2Fk613L18/cr4HN/vHUVVegJ3rZi5fJ5ftWpfHx7sDi9ytReotK8qbuQz+3e7QnVlNS8qwfe3MZfDWT2TMt6f9oYtxhwcmQouORHdgWeX9vgBaztzApdZekMvcrUt7492BVVlZwvSWqljtTMRXfQfWDDqyLFicnpvcnF+cjiW6vsuX2/Dyy/swOTmJBx98D9au3cjsUmZ8mMGIKpAJ2PDegdXRNxb6sqTz5mhoF9aaFRWoXVCEiUkf1q+oTHgfFclJt26NYrhzBF3XBrBoSRnm1c5DVVWR7WXs5OUiZ9p64eubwK3OIZTWlKCgughrGhL7JHG2XOrDxM1x9F0fCuWe5rU1VC/4SJYHPOV5Fiw8fuKVkSUfZMIYpO03VWIRJSyJ8kPbv+lgpwrH0gFrljbw5AMtYLEgnMa2Mg1KO5hVipVgkY7xEpGH/LC81S7WW6BivTI8Ot7ocvFeLU7+bv34fIHw7/Hsc3PJa9H9dnQLPbfitYxp4o731qvotxBaAlaqdzKyvoWLChhGI54kxegirrksCxan8LDqScf5xekYk6lP4xMfvUzChnf+I8cJg8FgKNeRvEIz91uI5eR4UVpahMHBMdy+fTcn0fCRtNfKXSw+eXIzTXuctnEzF5BYZMkHmTQG7TikSiyihCVRfuz6NZ2eq8KxdMKcpi08+UALWDTIZoCNTIPSDm6VYk1XAcuuj5J5rlL/qhSrxeWqqnmu5B1ZFizJjK1YZVXjICt+Gh85BCzWfnfCXnMnMXfcygVawHKC3c7XIdN4SRSLKGFJlB/nmZC6GlXhWOoQTE3NWsCKwlWlBYtMg9JueKgUqxaw7NiQ2c9V5LJbixaV8gHLqFCNgyzYqDj/suCjuZMYLY2PFrBYxhOPrUwcUyUWUcKSKD88vHWrjCoccwtfXr9awNICVugunVQfReIlqFPlZJqAaDDR8dKglJk2KvatFrDSi6uqcZAVfY1PYhFC1BFo1n5LB3vNHS1gpZqHMnFMlVhECUui/KSa407WrwrHnMRMRF1awNIClhawRIw0wT5kmnBpoFMpXpVitXazaAGLZhSIs1GNg6zIany0gMXKGctec0cLWLzcoS0nE8dUiUWUsCTKDy1X08FOFY6lA9YsbdAClhawtIDFMmIyxFamCZcGcpXiVSlWLWDRsF+8jWocZEVY46MFLFbOaAHLHjGeBYt9rfQWshwpl2l+UiUWUcKSKD/0o859S1U45j7SbC3gyQeuXKbLFha/tSwJigYBmQalXbwqxWot+lU6pqFS/6oUqxaw7GY2d56rxkFWlDU+WsBi5YwWsOwR41mw2NdKbyHL+kCm+UmVWEQJS6L80I869y1V4Zj7SLO1gCcfaAGLDeO0tZZpUNqBrFKsWsCyY0NmP1eRy/oIYXpxVjUOsqKv8dECFitntIBljxjPgsW+VnoLLWDRYyXKUqa5NlEsooQlUX5E8cMJP6pwzAmsRNbBkw+0gCWyh1LoS6ZBaQeTSrFqAcuODZn9XEUuawErvTirGgdZ0df4aAGLlTNawLJHjGfBYl8rvYUWsOixEmUp01yrBSxRrGHzowrH2FBx35onH2gBy/1+c6QFMg1KO0BUilULWHZsyOznKnJZC1jpxVnVOMiKvsZHC1isnNEClj1iPAsW+1rpLbSARY+VKEuZ5lotYIliDZsfVTjGhor71jz5QAtY7vebIy2QaVDaAaJSrFrAsmNDZj9XkctawEovzqrGQVb0NT5awGLljBaw7BHjWbDY10pvoQUseqxEWco012oBSxRr2PyowjE2VNy35skHWsByv98caYFMg9IOEJVi1QKWHRsy+7mKXNYCVnpxVjUOsqKv8dECFitntIBljxjPgsW+VnoLLWDRYyXKUqa5VgtYoljD5kcVjrGh4r41Tz7QApb7/eZIC2QalHaAqBSrFrDs2JDZz1Xkshaw0ouzqnGQFX2NjxawWDmjBSx7xHgWLPa10ltoAYseK1GWMs21WsASxRo2P6pwjA0V96158oEWsNzvN0daINOgtANEpVi1gGXHhsx+riKXtYCVXpxVjYOs6Gt8tIDFyhktYNkjxrNgsa+V3kILWPRYibKUaa7VApYo1rD5UYVjbKi4b82TD7SA5X6/OdICmQalHSDJxur1ehAIBO3cpM3zZOONFUg6Y5CKeNOmM6MaolKslhirBaz0YqNqHGRFXwV8ePOBW9jwtpe175O1dwufZNstojzPgsXJdmkBy0k0nalLpvGiBSxnOOF0LapwzGncUl0fTz7QAlaqe0VQ/TINSjvIeGMdm/Lh8NlunDJvYYNRhW1ralCUl23nzvXnvPHGangmYOBkvK53nk0DVIpVC1jpyUbVOMjaCzLjk2w+EI1Nsu1l7ftk7UXjk2x7RZbnWbA42T4tYDmJpjN1yTRetIDlDCecrkUVjjmNW6rr48kHWsBKda8Iql+mQWkHGW+sr5zoxM9fMcPVf3Svgb2bau3cuf6cN95YDc8EDJyM1/XO0wLWLAR4kpRTfSjLgsUpPKx6VBpvPNjJjE+y+UA0Nsm2l6f/kykjGp9k2iq6rJu5gMQqSz6QiWOqxNLScgFfO/o05teVOzbshjr68cX7nkRz88pwnaL8OBaEgIpU4ZgAKB11wZMPtIDlaBe4V5lMg9IORZ5YyZGDb/z0JFquDoSrb15ahi98fGPaHyfkiTcWhpmCgVPx2vEoHZ6rFCvBmydJOdVPsixYnMJDC1h0SMo6Rp3IByKxcaK9dD3unJVIfJxrtZia3MwFWsAS08esXmQaL3oHFmvvi7FXhWNi0HTOC08+0AKWc/i7WpNMg9IOSN5YM+3b21QsMDMBA97+teNNOj5XKVYtYKUjA2dExcrKEvT2jiCYOVcDCgNTZnySzQeisUm2vcJIc8eRaHxEx5eMP54FSzL+osvK8oWGTBxTJRZRO6NE+XFyXKa6LlU4lmocna6fJx9wC1iGYTxtmuaTkUEYhvED0zQ/5XRgvPXJkqBo4pdpUNrFyxtrpt2fkQoBKxMw4O1fO96k43OVYtUCVjoyUAtYdr0i8xhNNh+IxibZ9tr1tdPPRePjdPtTWR/PgsXJ9siyPpCJY6rEIkpYEuXHyXGZ6rpU4ViqcXS6fp58wCxgNTY2fsPj8ZCDu08A+NXdRbYnOxgMPmyaZtpcKiRLgqIhikyD0i7eZGPNlDcYpULAsupMZwyS7V87/qTTc5Vi1QJWOjHvbltU4yBrL6iAD28+cAsb3vay9n2y9m7hk2y7RZTnWbA42S5Z1gcycUyVWEQJS6L8ODkuU12XKhxLNY5O18+TD5gFLMMw3gdgC4B/D+AfrCCCwaAvGAy+1t7efsTpwHjrkyVB0cQv06C0i1elWK1Fv0pHfFTqX5Vi1QKW3czmznPVOMiKssYnPmIam8Rs0vgk5k5V1TzmNQjr+I1nL8v6QCaOqRKLKGFJlB+nxqSIelThmAgsnfQhRMCyGtzY2Lizra3tzcgAli9fvuTSpUvXaINqaGiY5/V6D/p8vsdIucbGxj/2eDxfBtAzs9jxPN/a2vpUU1NTSTAYfAZAI4DRQCDwsfb29ot2fmRJUHZxqiZypHICSuU3u7x1pzJeGm6JtlEpXpVi1QKW6JFE5081DtKhctdK4xMfsawsD8rLi0P3p3k8nrR/IQpr3ydrr7mjBaxkOWRXXiaOqRKLKGFJlB87jqbTc1U4lk6Y07RFqIBlGMb3TdP8Y6thTU1NHw8Gg981TbOCprENDQ1bvV7v9wEYPp/PIAKWYRg/9Hg8z7a2tv46so7GxsbveL3e/tbW1q82NTXtCQaDXzNNc7udHy1g2SGUmc9TMQGN+8dw9OYJnLl5DusWrMZ9CzahMKvIEYCSrTsV8ToSWIoqUSlelWLVAlaKBkyS1arGQVa4ND5zEYvMaTuW3IuhyRG8e/OC47mTta/SzV5zRwtYqeakTBxTJRZRwpIoP6nmuJP1q8IxJzETUZdoAes5AKcDgcA3vV4vOUp4v9fr/YOWlpbf0gTb2Nj4I6/X+9/Iziqfz7f7joB1GgDZwVV3p+7PtLe3DxuG0e73+/dcvHixg9RN/h0IBHa3t7d3JvKlBaz46Fi7gXh3BdH0capsUjEBvXHjTfzLBULpmZ/fXfkY9izc6UgIydYdL95M7DsaQFn7N5NxYI2VBr90tuFJUk7Fo1I+YMHMCQ5m8hi0w8oJfOx8ZNpzK6dlebOwtXYjDl07lpLcmU648HDcCe7w+E0n3OK1xc1cQNokSz5wgmPpwhdVYhElLInyky78oWmHKhyjwSKdbHjyAff584aGhjyv1/s8gHUAfuPxeD7X2to6wgqIYRiXfT7frkuXLnUYhvEbAF80TfO0YRj/FcBC0zT/d8MwJkzTJNthAncErAOBQODzdvdtyZKgaDClHZTWN6enb57DihIDox3VqCwuxbY1NSjKy6Zx5boNbay0DSUfEL9z6nsw+y6HixgVy/C5DX+a9JEIJ+qOjjfZHV20uLhlR9u/mfZGqlh40sbqVl847ZcnSTnVBpXyAS1m1hh6x7yFe4wq5jwg+1xEcFRtjNpxJzKnVRdVoii3EJcG7t4c4VTutGuHqOfJcDwZ7siQ3xL1kZu5QAtYokYPm59kxgubp9RbJ4pFlLAkyk/q0XTOgyoccw4xMTXx5ANmAau5uXmbFY7P5ysmu6gAPO31eo+Sv7e0tBxmCTdCwJp1d1Z9fX1pbm5uu2malYZhTJmmWRApYAF40jTNtxP5IguWvr4RBIMsLcpMW9L5FRUlsIv3ja438cuInUb3V+7Gmy8V4MMPNuLhzWnzAsmEnUAbK0tPRuPyYbIDa5FDO7CiMGetOzreVLaVBbNU2dL278vHO/HzV8xwMz6618gYDluNpo01VViLrnfmw4M7F/eqlA9o+zXZMST7XGQJWDS5lRZzGeysfs/yeLG1btOsHVis+S3d8UiG48nM78mOzXTH1c1cYAlYdp+X0x1D2eanZMZLuvVVoliIsPTVI09jfl25Y80e6ujHU1ufRHPzynCdovw4FoSAilThmAAoHXXBkw+YBSwiOCVoddA0zeUsUVkCltfrnfB6vR82TfN7pHxzc3NFIBA4Z5pmjWEY5ML2naZpXifPyBFCj8ezs7W1tctOwGJpiwq2X3ztWzB7L4VDXVZaj/4TG1FWnIe/+qwzgk0m4jgwMYQ3Lh3Gye6z2FizBnuWb0NZwXxHQnG67ug+NCqX42sPfd6RtmZSJf/pewcxODqFsnn5aLs2gA1NC/CFT96bSSEo2VYPue3ZhR8iYLngNq1d/vl338SFqwPhNq5cWsaUB/RclNbdm7LGWTntdM95PLhsO26N9eGdnvOO586UBcBQ8Zdffxr944PoHe+HPxiAqHy773A7jp2/hdNtvZj2BcA6NhlCdM3UrVxAAtb5wLVuV97xuXPn8Gf7/tJxAevbj34Jq1evDuMryo/yHaoBcAQB1nzgykIiMlJLwJqenr5VWFh41ePxvKe1tfWMYRhfCQaDVW1tbX/a1NT01wB6ySXuzc3NuwOBwHdM09xgh5hK37jTqsqxdmDtf7EAH3mIfgdWaEt9zwmQY4jryYXn1c5deB6vT6N9vqdxB0ZGJnC0e3Y7SPm3eo7hTM95LCtbginfNCoLy3F/9RZMBadwqOsoWnsvYWVVA8oLynCk88SsGKz7Joi/MwPnMDY9hv7JIXQMdWFt9Upsr743XI/ZdwlGxQoUZOfhdM+F0POS3CIc7jiOuvmLsHTeYqwpWxUK6e2bJ3FtuBNLSmpD/t65eRa3JnqxsHgBusd6Q/UbFcsxOjWGorxCLJm3CG9cOTzTtppNWLKgBtduduPt7pO4NdmHNy7f3ei4Z9k2FGYXoCi3AD2jvagpqcLNsb5QnSTOTdXrsSCnOgxtJJZrF8y0OTc7B1eHrqO97woaKurRVLEcncM3UJhbgOvDPeH2kfqmbk+hd6IfPXd83Lt4PSZ8U+ifGAxh0d5/BcvLlmJZaR2WFNfh7Z5TOHezNYRJVWEFGsqWojZvCa5PdaJt4DJujc+0dc2CJuyo2Qp4gOO3TuHkjXfn8Mtq+zs3z2HzwrUYnBrB2NQ4CnLzcan/Gu6pvsvHeDwd8PWHedBUuRzbF92HsuxysNrbzT80z2nHLU1dmWDD8y2LU3GplA9oMUt2l0cyu1No2+iEXTI5S9YxSubBwzfeDuXD5WVLUJRTiHHfBC71X8WaO7ku3otMCJ7tIxdxZbgTbb2XZ3JG+XIsKVyS8OUnpBzJz0T4aqyox7zcEhzvOoPIeThWf5Ny16e6cP6WGc5RBdn5mPBNhkSzurylcWlC4jzbdz6cZ0mspfnzsXheDRbnLYrbXpKf2gcuY2hqBCTXLyypRu94H+pL67Bz8f2hnBHr5+btHlzoN8M52Mrr+Tl5qJu/EMtLliUse7z7HbT2Xgx/fiFHNIc7alCZV5lxO4wTjV03c4ElYOkdWE7Mrs7VIdNcq3dgOccLJ2tShWNOYiaiLp58kIyA5TUM43MA1no8ns8A+JPW1tb/xzrmRxuwYRiXIi5xfwgAqSOPnEb0eDyfJPdqLV++fH5OTs6PAoFAk8fjmfR6vX/Y0tLyrp0Ple48oT3X68QdWMleSm7Xb7GeR/v8t2s+ELqf6hfnnw2bf2TV4wgEg7MuY9++ZAuOdJ7E7658P4anR7Cv7Y2wvfXMH/DPubR9f/cB3Bi7iUAwMOt4BPExensML7S9HrOeyDrJ74uLa0J2VjvJpbcPr9iJly++iW11m+fUb5V/cNk27L9yFNP+aZAjGR9e93788szzoeOf5MM+EYK6R2+hurgq9KGaLEJI2WxvNnwB36w2P9K4G4/XvS/c3mgs9yzbjtysbLzUvj9s82jjntBr0cnbpSIv6H2kYReKcvPRPdof+rt1iS/BOPoy370rdiIvKwfPma/NwmpeXjEeq3sUz3Xsw/DU6JwLgL0ez6x+jbxQP/ry4Fh+Lft4PCV+I3lAYiXtYbXn4XF0Gdpx64SvdKiD55y7U+1WKR/QYqbKHVjJ5CxZx+jzHS/OymN7VzyA1y8fBsmH5CfRi0ze7DmI/skBvHLxQJhqpHx5fhl2Vu+IS7/ofojMl9Y8HKvwoVtvoW+if1aOIv5Ijtyz7H58YMn74/p8ofMlDE4Oz8ozxC/JQ2X5pdhedX/MsiRPjE6P4cDVuzdVEJ/Xh29gaWldKGfE+iG4EtErMm9G5nXyJc97Fz8cs+yzHS/gxba770Gyyu1d9gAerHk4Y+4ppZl/3MwFpH2y5AOZ5idVYhF1N5UoPzTjPV1sVOFYuuBN2w6efMAtYDU2Nn7T4/EsIwLW9PT0/bm5ufsAHDZN80naBqfaTpYERYMT66DkfQuhE5eS08QTaRPTZ+VylOfPx5HOU2HTrbUbQruAIi9jJ9+2jk2P456Fq9DedxUXB66G7a1nPWO9iLx4lvj7ccvP4Av4Q/VFXlBLfNwa649bT2Sd5PcFRRUhf1Y7yaW3xblFoQ/GZEdSdP1WeWKTn52Lc7faQm372nv+HF989a/Csa1d0IT87PzQLiVyrIH8kLLkP9LeyDY3lNfjP9z7GUxP+xELyydWPoIz3RdmxbRl0Xp4vd7Q0ZDIulaULcUHmvbi160vh/5uXeJLMI6+zJfYVhaW4ej1d2ZhXlFQhs/e+wf47tv/HX0TA1EXAC9HecHsfrX6hlRiXbafyC+xf3LT/4mnT/zdnIv5P7/l0/jG0e/OipW08wv3fRbfOva31PZ/vuUz8PlmcE/mh3XcJuMrHcryJCmn2q1SPmDBzAkOpvOb0pLNWU7gw9IfImyzs734q2N/M2ceJHmJ5EPyE+8ydoLnv155dk4+JfNoQ8VSfKj+8ZgvP4nVD5H5kpSPNa+ScmeGzuDl9jfntJfkyEnfNJ7a8TmMjU3PgY7E+cOzz8zJM8QvyUObF6/Duvnr5rS3oCAHf3/qnzAwOYj2/rmfGUh+jtXW3NwsfP/M/xfTH8mRpBzx/bsNH5yTP0jZb779N6EdzNZP5OcBp3KOCH7R+HAzF5D2yZIPZJqfVIlFlLAkyg/NeE8XG1U4li5407aDJx9wC1iGYbyzaNGizV1dXcfIcb7a2tqCwsLCk6Zp3r1BjrblKbKTJUHRwCNyUCbzbTZNLLFsYu7A8gfxiwt3d2B9eOXjCCLGDqyOE/hvvrIwAAAgAElEQVQ3zY9hxBdjB1bHiZAAFP1t829vHED3eE9oR1fkN6nEx5gvxg6sO/WEvjGN+H1R0cwOrF/eaSe59Pbhhl14uX0/ti0hO7Bm12+Vf3D5duy//BamA745O7BIfbnebBCbFyN2Tc3swPLCF5i9a+yRht14fEmiHVhbkZuVN+vbbVKGTA7D02Oz4n9vwy7kIhf904MzO7DuXOJLYo6+zJfswMr15uD5ttk7sMiRRdKeZ6+9gJGo+kk/eOGZ1a8xd2Al8Kt3YPGOstSX40lSTrVKpXzAgpnI3MHSLidtk8lZsuITcwfWpUPhL0QS7cDaf+MgBqbn7sAqyy3DroWMO7Du5MtEO7AO3ngL/bdj7MC6/Bb2LN+ecAdWvB1RJA+V5ZRhx8LYO7BIfiJXCBy4dixMRSs/kxwebwfWc9f2YXh69s7iyLye583Do3VxdmBdewEvtkftwOo4gfc27Mb76x5xcki4XpebuUALWK53f8wGyDTXJopFlLAkyk96sil2q1ThWCb1CWkrTz5IRsAiwtUWwzBOWfdRGYZxxjTNdekCnEoLFpGDMpnXSvNyI9InuRcqdAfW8ASO9JzAmZvnsI7cFbVgU6j6Izfn3oG1dcEWTAencPDG0dAl9s1VDaFvYMkdWFbZyPs+iL93B+fegbVtwb3hetps7sBaQu7AKp25A+vozbvt3FC1BqdunUXvRC9qiheEvvGOdwcWadvW6k1YUl2Daz3ds+JdU9mEo90nQ/E0Va5AcW5h7DuwFqxHVfQdWHfaQ+7AIt8K5yV7B9btKfRPxrgDq6gOb9+cewfW4twl6JqeewfW9uqtoYnseO/MHVjRfRN5BHbzonWhoyHkDqzC3HxcHLg2c2fWgpk72eLxdNDXH+YBuZB3x8L7UGrdgRXRT1Y98ex5uRxZTuS4daK9ydbBk6SS9WmVVykfsGCmAgeTyVmy4kPmtcPd8e/AIrku4R1Yo+24PNiBi/1XQ3dg1c+vRUNxg+0dWCQ/R9+BFTkPx+Iu6b+u6fh3YNXmxr8Di8T5bv/5cJ6NvANrUW78O7Cs/DR2ewxm72UsL1+CielJFOYV4IGFW0M5I9bPLXIH1kCCO7CKlyUse7xn9h1YxXmF2FZzb9wyLGM9nWzdzAVawEonJtxti0xzrRawNMdSjYBs46Wqiu0N5dwCVmNj4y8B/Nzj8XwxEAjszsrK+nwwGFxjmuYTqe402vpVWrC4QWQ3jo0Qn+RlYpWVJejtHQF5r1isdpC/WT/krqzIH3KswDr+ZRcDeW7ZxKvH8mU9j/635TvaV+QxTmJDysdqW3TfRtdjlSFHEEgdJDbyO/khxwbj/UTWY/2en58dKkPqiWwfOVIxMXE7VJUVJ/FLbCwflj35O7GJxIs8y8/Pwfj43GMepO6pKV/Y3oq3v38Ufn/sF8dFto38TmKO15fx/h6JdSRGrPa081EsOzfGbTLtTbasm4sWlfIBSz+pxEG7+V7FMUrmQWtej5fr4vEpK8uD8vJiJJqrY5WNzJHx5uF45QoLczA56UNeXnbMY4Px2mrlJVIuMt/YjRWSn/z+APLzszA+7qM+Ok5yMImzpKQAY2NTmJ5mL0vymhNH1e1idOO5m7mAxCtLPpBp/lYlFlE7o0T5cWP+4PWpCsd48XGrHE8+4BawVq1aVePz+Z4B8OCdgA8FAoGPtbe3d7oFQLRfWRIUDZ4yDUq7eFWKlWCh47VjROY+V7FvWb9lcap3VcoHLJipxkEWbFScf1nw0dxJjJbGJz4+PAsWFm7a2cqSD2TimCqxiBKWRPmxG2vp9FwVjqUT5jRt4ckHzAKWYRjfNk3zzxobG/e2tbW9smjRosKSkpIs8rZAmkaKtJElQdFgJtOgtItXpVidWkDR7jxIdvdRvN1nJA7aNqjUvyrFanFZC1h2M5zY56pxkBVdjU9iESJyNzQrtplgH7mbm7Q3eid2ohgid6iR3eIsZTMBm2TayLNgScZfdFlZ1gcyzU+qxCJKWBLlx8lxmeq6VOFYqnF0un6efMAjYF0KBoPvAfDr7OzshwOBwKw6Wltbu5wOjLc+WRIUTfwyDUq7eFWKNVkBa2zKh8Nnu3HKvIUNRhW2ramJ+SrueHb9o1PYf7oLLVcG0Fxfhl3rF6G8OG9OF5HyZy724Ur3CK52D2ODsQA71s74om2DValK/atSrFrAspvZ3HmuGgdZUdb4qClgWTltePw2+oYnca17GA21pVhcWYR1Kypi5lELqcic17ikDGMTt5Hl9aC+psS2LCs/M9WeZ8HiZKyyrA9kmp9UiUWUsCTKj5PjMtV1qcKxVOPodP08+YBZwGpsbPyex+P5d+RkU4wAgqZpzly+kwY/siQoGihlGpR28aoUa7IC1isnOvHzV8wwpB/da2Dvpto5EMez+9Why3j2wOWw/eMPLMMT25fNKf/ayU503hrD/lPX5/iibYMWsOyYn/nPeZKUU1GrlA9YMFNtPmXBJtn5l9VXptnLzB2S07r6xkO7piLz2q4Ni1FbVYSHNs7No1b/Rec8UubQmS5sX7fItmymcYC3vW7mAtJmWfKBTGNQlVhECUui/PDOAW6UU4VjbmCbjE+efMAjYK1sa2u7YBjGIdM0tyfT4FSXlSVB0eAk06C0i1elWJNZQJGjD9/46Um0XB0IQ9q8tAxf+PjGOResx7L74ic34yv//RjaOgbD5RvrSvHUJzfPuliW+PnBc+fR0z+B9s67tsTXX3xiE77+zAnbNkT2uUr9q1KsFpf1EUK7GU7sc9U4yIquxic+YrJiY+U0nz+IvqHJWXmN7MKqLi/Apx5bFfNIYKy8S8qMTkyjuCA3YVlWbmayPc+Cxcl4ZVkfyDQGVYlFlLAkyo+T4zLVdanCsVTj6HT9PPmAR8A63tbWttkwjP9pmua/cToIJ+uTJUHRYCLToLSLV6VYkxGwSFna3U/J7sB69WQnrusdWHbUnfNcRS5rAYuZJiktoBoHWcHU+KgnYJGISU670TuOQHDuDqzFVUV4D+MOrIOnu7Bj/SLYlWXlZ6ba8yxYnIxVlvWBTPOTKrGIEpZE+XFyXKa6LlU4lmocna6fJx8wC1iGYbQDOAzgUQC/ig7CNM0/djow3vpkSVA08cs0KO3iVSnWZAUs2vun9B1YdqxLzXMVuawFrNRwibdW1TjIipPGR00BS9+BxTpS2Ox5FixsHhJby7I+kGl+UiUWUcKSKD9OjstU16UKx1KNo9P18+QDZgGrqalpXTAY/BCAPwHwDzEErK84HRhvfbIkKJr4ZRqUdvGqFGuyApaFJe0bAPVbCO3Y5+xzFbmsBSxnOZRsbapxkBUvjY+aAlZk7oxEgOVNgvothIm541YuIK2SZX0g0/ykSiyihCVRflhzqpv2qnDMTYx5fAsRsKyGGYbxCdM0n+FpqKgysiQoGrxkGpR28aoUq1MClh2m6fRcpf5VKVaLy24tWlTKByzjWTUOsmCj4vzLgo/mTmK0ND5awGIZTzy2MnFMlVhECUui/PDw1q0yqnDMLXx5/QoRsAzD+LRpmn9LGmkYRrNpmi0Rotb39RFC3u5LrlymDUraHUGxUIkVK2t9seyzs72zLie3fMf7O6vPeD2cyC/5tjcYDKKysgS9vSMIBoFk/CZTNrr98erKz8/G5KSPm9CZxmXuQMmrXD2Y1bfJ1JUJZXmSlFNxaQErNpKqcZCVTyrgQ+Zy64d3h5HfH6SGNjJ3xMt/8SrLzc0K5WlSB/k/y4+T+c/OL4nL7w+E5vf+/lGw4GNXtwzP3cwFBD9Z8oFM85MqsYgSlkT5yaT5SBWOZVKfkLby5APmI4SGYZw0TXPjHQEr/Husf7sNoCwJigbHTBmU4/4xHL15AmdunsO6Batx34JNKMwqogkxbBMZ65iPrb5Y/qeDUzh44yjM3kswKpdjx8L7UJpdjkFff8y/OxEDCSZe/ZF/X1G+FMtK67Bx8VqMDE/gSA8fdk61mbQ7Xl3d0114u/sU2vuuoKGiHvfWbEBN7iKmvrUmskjBjrmCDCqQKePWKUh5kpRTvlXKByyYqcZBFmxkn4/IXH528DxGp0fRPzmEjqEurK9eha0LtiTMy1YO6J3oRWFOIdr6L2M9RT6PzB176rfh2nDXnLwbr39u3e7BkRsnMD49gYLcfFzqvwqjcgW21WwJ5etEP07mPzv+WPk7LysXE77JUD608nhDcQPz5x07f5n63M1coAWs9GSNTLkoUSyihCVRftKTTbFbpQrHMqlPRApYp0zT3HBHsAr/rgUsd+mSaFCK/NbRDoU3bryJf7nwXNjsd1c+hj0Ld9oVm/U8MtbXu9jqi/b/e6s/gOHpEexreyPs49HGPXis7lE817Ev5t+diIE4i1d/9N/3rngAVYUV8Pn9+MX5Z7mwc6rNxHm8un5z7Xm81L4/3L73NuzCB5a8n6lvZV8wRoMhUzKl6Wg3Fy1awJL/A10iDvLmQZnH6P7uA7gxdhOBYACHrh2jzi0kB/yqdR+21m5kLkfyf25WLnbV34dXLh6Yk3fj9eGz117AK5cOzPH5vsYH8f66RxJOP07mP7t5juTv1y4dmhMfyePl+WXYWb3DrgolnruZC7SAlZ4Uk2mu1QKW5liqEZBtvLBeL6J3YKWaYYLqj0XkyG8dybej9y7YhOKcYkQfESBb3cnfrC351pZ+8u/IbfqRC4DIbfxWWate8v/IOqx/k///uOVnOHb9NPzBma3/RsUyfG7Dn4b9W3UkOlZgxUq25X/75Pdg9l0OoxxZXzT0pP3fOTXb/r0NO9HedxUXB66GzVeULcVf3P9/4etv/fWcv3/hvs/iW8f+ltpnvO4n8f3Vsb+h9kt2NA1NDuNI5ymqWCP9xoo7EU52i8BoDEldX9j6WfyXw/9vzHhYjxPKNCnbDX+VYrXESdYkZYch7XMtYMkhYLEedyN5sHWoDV5vEAsKq1CZX4WcQB4tbZCT40VpaVHoCHdOThamp/1UZa28Sv5PWyayYtajdVSNijAiOJJ87Av40T8xiEsD16hyi5VPhiZHUJRbyFyO5OvVVY2Y9E3PyRd/vuUzMY8Fks8b3zj6XYxOj83xSfJ1vHIkICfznx3GVl7Pz86NGV9DxVJ8qP7xOZ/B7OqV8bkWsJzpVZk+Q6gSi6idUaL8OMNkMbWowjExaDrnhScfaAHLOfxdrSnWoIz81rGpcnnoKNrFgWvhrf7k6Nzh7mMYnRpDXnYupnzTKMjJx8X+K2iqXIHCnAKc6HoXWxavx5T/Ns7dbMF9tZvQN94fKkO28U/enkJ+Tl6ozPKypaidV4Ox6QncGLmJwtz8kL8VZUuQn52PSd9UyG5BcRV6x/vQ2nsJe5Ztw9J5tRiZHsW7Ny9g9YJm5GXlhESuyON8keA6uQPrIys/gBFfBuzAKrizA+uC3oHl6kBz2LlMyZQGGp4kRVMvjY0WsDJbwCJC1JGbx3Cm5zyWlS0J5avKwvKEx93IsbPeqT60919BW9/l0FGuxSU1KMjJw+KCxQmPns0cBTsCs/cyNi1ai/HbE2jpbUdDeT22LtyMqpzqmICScu/2nw/taro13h86lmdULA8dqY5XJrKieEfLaTjOavPbGwfQPd6DQDDIvJPqVy0vYGvdJuZyoR1Y3mzsWnY/+w6si2/O8ZmWO7AuHpgTH9mBVZZbhl0L9Q4st7/MIP5lyQcyfYZQJRZRwpIoP6x5x017VTjmJsY8vnnWBjwC1pVgMPgfQ3dueTz/JRgM/ierseTfpmku42l8KsrIkqBosIkelJHfOmZ5s+Zsu//IqscxensML13cH3p2pPPkHJvtS7aEhCQiYJHjBVY9lm2sMuRDmi8QwLR/OvzBlpR7cNm2WR9WiXBFvvntG+9DWUHZrA/BxC+p2x/wwzrOF0/A0ndg0d0f5uQdIPoOLJoRSWcjUzKliZgnSdHUS2OjUj6gweNu3s6MFwlEHwOz8sQTTY/GPYb+2o1XMXZ7atbRZpKjyBG2HK8XexftjQuVdZQ7Vv58pGEXHo9zPPqFzpcwPDU651jeIw278fiS99l2Tbyj5bYFOQz0HVgcoNkU0Xdg0WHqZi7QAhZdH4m2kunzkD5CKJo9dP5U4RgdGuljxZMPmAWspqam3wYSvKamra1tT7pAotKCJdag/O2NN/HLC8+huqhyzrb7rbUb0Ds+gJGp0dCzsenxOTbLy5agIDsPE76p0DEBqx7LNlYZsp1/Xc1KnO4+Hz5aQMoV5xbNOS5AvtEm31JHH0MgfkndPWO9iHU8IFasrPeb6LcQJj9K9VsIk8dQpmRKgwZPkqKpl8ZGpXxAg0cmCVixjoFZeWJ+fkn4GHpk3OTY2YEbh3Ho2vE5uYeULckrxnvrHor75lnriHes/EnyEjlOHn00kBwh++HZZxBEcM6xvHhlItsc72h5oiNyLH0dz5b1WKZVT1aWB+Xlxcxv2dNvIXSi1zK7DjdzgRaw0pM7Mn0e0gKW5liqEZBtvLBeL8IsYNF0SFNT04Otra2v09im0kalBUssIpNvV8kl5+ToxLKyulk7oD688nGQ3Usvtf82tCX/SMeJOVvzQzuwOk9hS+2GmR1YHu8s21hlZnZg3ca03393B5bHiweXb59zXODlOxd+Rx9DCH2z3nEidE+W3Q6sIP2bu1NJtZTWLdMkRQOUSvGqFCvpezcXLSrlA5pxlkkCFmlrzB1YHSfwRPP74u7A2nftJdyGb84OrGxPNsh/j9RR7MC6k/ciLzlPtAPr+Y4XQ0fio4/lpeMOLBaexLJVbf5ixUvjEx8xN3OBFrBYmSzGXqbxogUsMZxh9aIKx1hxcdueJx+kRMAyDOOkaZob3QZEpQVLvEE5c0TgAjqGO5CXnR+6C8R63bX4O7Amw3dwbahag1O3zuLMzXO4v3Zz6HJWnjuwtIDl9ihz3r9MCcYOHZVi1QKWHRvceZ4pHOS9A6tvqg9tUXdgkXsba/UdWEkTLlO4k3SgnBVofLSAxUkd6mIycUyVWETdTSXKDzVZ08BQFY6lAdRMTUgnAeuUaZobmFqfAmMtYN0F1dqyH+/onIi3EPp8gdAbgSJPoEb+m/ZYgUwTEA3tdbw0KGWmjYp9y7pN2KmeVSkfsGCWaRzkOe5GjhNmZXlDsNy+7Y95bDAeZrK+hZCFI/FsM407TsTMUofGRwtYLHzhsZWJY6rEIkpYEuWHh7dulVGFY27hy+s3nQQsvQOLtxc5y6X7oIx3XxLr3VXkjhC/P4DKypLQa83JDqx4Ihht3XZ2NK8zj9eGRN1p59d6nu59y0nZuMVUilelWEmH8yQpp/ilBazYSKrGQVY+qYBPpChI8Elwzeks+Kw7sKxcTItt5BdqLP5ILiZlo+8eY/VLa5+snQrc4cXIzVxA2ixLPpCJY6rEIkpYEuWHdw5wo5wqHHMD22R88uQDfYQwGcTTqGy6DsqxKR8On+3GKfMWNhhV2LamBkV52Yj393iQ9o9OYf/pLrRcGUBzfRke3VqPALln692Zuh9YvwjD47dxum3275E+o+u2a0O0z13rF6G8OG9WNZF1rG+swrzCHBw43TUrVla/0e3avrYGSxeXhQW7NKJdSpqSrlxORbAqxaoFrFQwKPk6VeMgK2Iy40NyzZmLfbjeO4bJaT/yc7PQ3jmIDcYC7Fg7k6tj/UTmqM2rqrF15QIU5sa2jSxvlbs1OIGCvGy0XhvA0pp5qK8pwboVFXH9kVxsXh9CZ88o2joG0bS0DNvX1KC6tICqO+1yPVUlHEYyc4cDjllFeBYsyfqMLK8FLCfRdKYumcZLolhECUui/DjT+2JqUYVjYtB0zgtPPtAClnP4u1pTug7KV0504uevmGFsPrrXwN5NtYj393gg/urQZTx74HL48QceWI75hdl45iUT2VkebF+3CPtPXZ/1u2Vs+Yyu264N0T4ff2AZnti+bFY10XXs2rAYh850wecPgtdvrHZ97JGVWsBydYSlxnm6jtvURKt3YKUK12TqVY2DrFjJjM9rJzvReWsslLOsHGqXN8lzu9wZD2NS7pevt83xRfJmbVURHtpYG7Pos29dDQls+966En7+2PZl+J0HZufjRH5jfQ5h5QKrvczcYcUi2p5nwZKsTy1gOYmg83XJNF60gOU8P5yoURWOOYGVyDp48oEWsET2UAp9peOgJFv9v/HTk2i5OhCOvHlpGf7iE5vw9WdOzPn7Fz6+MebRBXJs4Ks/Ph765tX6aawrhbGkFM8fuoKaikIUF+SGvjmO/N2yJT6j647XNssuns+nPrk5fH9KrDoaaksxOjGN7r5x8PiN165vfXanFrBSOH7cqjodx20qseBJUk61R5Zv3J3Cw6pHNQ6y4icrPiTX/OC58+jpnwjlLCuHJsqb5Jld7oyHr1VucHRqji+SN6vLC/Cpx1bN+QxAcvHPXmvDxY4htHXO/gzw5T/YYnuckLe9rDyJZS8rd5zCxq37EEn7ZckHMnFMlVhE7YwS5ceJ+UBUHapwTBSeTvnhWRukSsD6H6Zp/lunAuOtR5YERRN/ug7KVO7AKinMxk9fMpHl9WDH+pkdWJG/W7jx7oTi3YF18HQX/AG9A4uGt6p/6E/Xccvbd3bleJKUXZ20z1XKB7SYEDvVOMiCjez4vHqyE9dvjYHkLCuH2uVN8jyZHVi/eK1tji+yA2txVRHeE2cH1q/fuozp6aDegcVK3jS2dzMXaAErPYkhUy7SO7A0x1KNgGzjhfULDWYByzCMLyXqFNM0/zLVnUZbv0oLlnQlsr4Da+69IHb3ceg7sDDrkn7a8Z6Jduk6blOFpZuLFpXyAUv/qcZBFmxkF7D0HVisbGCz12MrPl5u5gItYLHxWJS1TONFC1iiWMPmRxWOsaHivjVPPuARsH5wJ9QVAJqDweC/er3e28Fg8HEAp03TfMJ9KGZaoNKCJXpQRr8Vj+BB82ahyLcD0djT9rV+C+FcpPRbCGOzR6YEYzc+VIrVEgNYv2Wxw5D2uUr5gBaTSIGmv38Ufn+QpWjY1m4ui640VXmGq/E2hdwao6yYJhO7fgthMuglFmki35icGi+ZWSvPgsXJSGXJB27NT072hVWXKrGIOtonyk8quJCqOlXhWKrwS1W9PPmAWcCyGm8YxqvZ2dm/f/78+W7yt+bm5gq/3/8vbW1te1IVIGu9siQomritQXn1+kD4zXzkrXgLSvPRcm0QV7uHE75ZaNbbgfKz0XaNvIno7lsDadogykamCYgGMx0vDUqZaaNi32oBK724Oj7tw5ELN3H8fA/znG+3mzQ60kzKM24tqlgxdZNNqs1frFhrfBKLe27lAtIqWdYHMnFMlVhECUui/LDOi27aq8IxNzHm8S1awDprmuaayIYahnHeNM1VPI1PRRlZEhQNNtag/NmLF2a99e/R++vxyttXQ2/FIz+J7oOK9XagePY0bUqVjUwTEA1GOl4alDLTRsW+dWvRolI+YBkNvPcZER+sZeO9hS4d84xbAhYrpix97bStavMXK34aHy1gsXKG1V4mjqkSiyhhSZQfVs66aa8Kx9zEmMe3aAHrhWAw+C6AfwoGgx6Px/PHHo9niWmav8PT+FSUUWnBYg3Kz3/3zVlv92usLcXInbfiEYwTvRkv1tuBYtmnoq9Y6pRpAqKJW8dLg1Jm2qjYt1rASh+uJvOGNtayid5Cl455xg0BixVTt5mk2vzFirfGRwtYrJxhtZeJY6rEIkpYEuWHlbNu2qvCMTcx5vEtVMBatmxZdXZ29t96PJ6HyW5cAC/k5OR8+ty5c/08jU9FGRUFrFg7sF4+ejX0Vjzyk2gHVqy3A6XjN+MyTUA0vNfx0qCUmTYq9q0WsNKLq8ns+GEtS+wzJc+4IWARn6yYuskm1eYvVqw1PlrAYuUMq71MHFMlFlHCkig/rJx1014VjrmJMY9voQKW1cC1a9eWvfvuuwM8DU51GRUFLH0HVqpZJb5+mSZcGvRUilelWEnf8yQpGs7Q2KiUD2jwsGz0HViJ0RI9RvUdWCzsTW9b0dxJbzRmt87NXEBaIks+kIljqsQiSlgS5SfT5h1ZXqwh23hh/XKb+xL3lStXNvr9/l8BKPN4PFuCweArWVlZH7pw4UJbupBZlgRFg2ckkT3kH3feOpibm4WsLC/8/gB8vgDIv6en/cjO9ob+T44skN/JGwfJc/Jv6z/y77y8bExN+cJvMIx8W5H1O7Gzfkhdkf8mf3f6bUoyDVrWvg3yvSSMxg2VjdN9GcupSv2rUqxawKIaYuH5knWsEfvo+ZrGo8XB4eFx3L4doHpbrTWvR/4/et5P5JvkIStHkdxD+8Zbkl9InJYv2nK8b9kjbczJ8aK0tAi9vSNgnX9j5UOaPiHlyA8LpjT1Om2j2vzFih8vPqxjn7Vd6WCvBSxneoGXY854d7YWVWIRJSyJ8uMsC1JbmyocSy2KztfOkw+4BSzDMPZ5PJ6/DwaDXzFNc6NhGJ8D8Jhpmg86HxpfjaoJWFlFAbzadhCnb57DfbWb0Dfej9bei9i0aB3Gbo/B7L2E5eVLMXl7Cl6vFyvK6tA1citk01BRj6aK5eidGMDU7SmM+ybQ1ncFdfMXoaqwAjXFVegYvoGzPRewonwpqooqcXOsF+19V2BULsfm6vU43nM65IP8e8fC+5DrycPRmydw5uY5rFuwGvct2ITCrCK+zowoJdMERANGOsQrcldAOsRL0y9O2KgUqxawEjNm3D8Wmi97J3pRkFOA9v4rWE8xb5JyZwbfRedwNzqGurC8bAmqiyuxrnSt7XxLyr47eA4dw13hsjXFC7C2dHXcsqTMkZvHcLrnfCg/lOfPR5Y3C2X589FQ3JDQ56CvH+/2n8dt/230Tw6FfS4srsaa0lVxy5JyR3uO4/yt9js5qRyFOQUhQSlRuci2rq9eiXHfJNr7LmNd9SpsXbCFqq09Y72hdjZXrsDm6ntQlVNtO/RJe7FvrJoAACAASURBVA/eODorH5ZmlzOVI3l2WWmdLaa2labQQLX5ixVKVnxE5lnWWJy251mwONkGWdYHrBxzEkOn61IlFlHCkig/TvMglfWpwrFUYpiKunnyAbeA1dTUdKK1tXWTYRinTNPcQAIyDOO0aZrrUxEcT52yJCia2Ennv9lzEP/j7G9Ci4mttRtx6NqxWb9b9WxfsgXHrp/Grvr78MrFA+HqH2nYhUnfNHwBHw5eOxb+O7Gfl1eMfW1vhP/23oadePXSIfgD/tDf3tuwC29cfgvT/unQv99vPISCrAL8y4XnwmV+d+Vj2LNwJ004CW1kmoBowEiHeEXey5IO8dL0ixM2KsVK8OJJUk7gTOpI93zwxo038avWfeG524rbbt7c330A10e7Q/N95By/uLgGu2oeSAgfT1nSzsh5neQHr8eLwpx8lObNx87qHXF9vtD5EoanRhEIBpja+3zHi3ih7fVZ8RXnFobyVXVhZdw4rbZG5kRaXElbByeHZ7XzkcbdeLzufbaUfK5j36x8+WjjHjxW9yhzub0rHkB5fllCTG0rTaGBavMXK5Ss+IjMs6yxOG3vZi7IhHxAizcrx2jrdcNOlVhECUui/LjBFV6fqnCMFx+3yvHkA24Bq7Gx8fjixYu3dnV1HSMCVn19fWlubu5B0zTXuAVAtN90X7A4iVNWlgffPvX3oW98q4sqUZRbiEsD12b9bvkj39AXZOeFPvxfHLgabsaKsqWhb+9Juci/k79VFJThWNfpWbaj02Mg306TH1I2PzsX527NnCDdsmg9hqaGYfZdDpcxKpbhcxv+lPq4SDx8ZJqAaDjgdryi34zldrw0feKUjUqxEsx4kpRTWKdzPiBj7DunvoehyZHw3G3FnWjeJOV+3PIz3BzrC83bkXP8gqIKfLL5Y3HnW56yVjsj53WSH8oLSuGBB+WF8/Gh+sdj+iTH4n549hkEEUT/xCB1e0m5bx3/29COtMj4SE6an18CkodixRnZ1sicSIOr1da+iYFZ7Wwor8d/uPczoeP38X5I2b869jdzcuufb/lMwiOB8co1VCyNi6lTY4O3HtXmL1acWPARnWdZY3Ha3s1cQGJJ53zAgjULx1jqdcNWlVhECUui/LjBFV6fqnCMFx+3yvHkg2QErM97PJ6tADZ5PJ7vBIPBPwwGg79sa2v7mlsARPuVJUHR4DlrB5bHi611m2Z2YEX8btUT2oHVeQq7lt0/awcW2UU15ZuELxCYswOrJLcIL7b/NtyU0A6siwfhD87cfxXagXXpEKYDvtC/39f4IAqzC/UOLJrOs7FJhwlX5DfD6RCvA91GVYVKsRJAeJIUFZAURumeD0I7sFpeCM/dVkh2O7B+e+MAusbm7sBaVFSD3QsT78DiKRt7B5YHBWQHVk4pdi2MvwOL7KQamSY7sIJzdmAlam+sHVhFuQWY8k1hQcGCuHGGd2DFyIN2uBKfQ1Mjs3dgNezG40vE7sAqyy1LiCkF9VNmotr8xQokKz4i8yxrLE7bu5kLtIDldG86Ux/reHHGa2pqSRSLKGFJlJ/UIJiaWlXhWGrQS12tPPmAW8AiYTQ1Nf1+MBh83OPxkBtZ97W2tv4odeGx15zuCxb2iOKXIJ2v78ByEtH0qSsdJlyRd3OkQ7yiel+lWLWAlZhV+g4sfQdW5N1Z+g4sUbNw6vywzu8i82zqoqarmWfBQlcznZUs6wNWjtGh446VKrGIEpZE+XGHLXxeVeEYHzruleLJB0kJWO6FSudZlgRFE23koCRvIbTezkTe9mS9tYn8ze4thMSX9QYkYp8JbyGMfGNPorf3WM943vBDU8bOJtHzRG+rijXh8r7dioZLxCYeVtEx2MVM6y/STqYEYxe/SrFqAcuODTPPeeepZN9CODg4Br+f/o2A1pv9rPbSvhHQyjE8bxNU6S2ELG9npGOW81bW/EW4Q95gyfPDkkNYbGO1hZS33sBM29Zk3gjJi0+ycdLG5qYdz4LFyfbKsj6Q6TOEKrGIEpZE+XFyXKa6LlU4lmocna6fJx8wC1iGYbSRiT9e49va2gynA+OtT5YERRO/TIPSLl4r1qvXB3Do3W6cMm9hfWMV5hXm4MDpLmwwqrBtTQ2K8rJDVUV+q9m4pBQTkz5UlRbMsonnk+YbUTubRM/7R6ew/3QXWq4MoLm+DLvWL0J5cd6s5kT2bd+Ivb0dfomeW229NTiBgvxstF0bnINnNKbReCfj3xI5KitLuF5bn6xv0eVVGrdW31ZVzWPOO070i0r5gAUv1TjIgo1q8xErNgNjU9j/zg1cuNIfN38lk1utsnY51q7dpPybZ7pwuq0XS2rmoaasAKuXlaO6tCBuUZKbzetD6OwZRVvHIJqXlmHXPXPzcyLfyeBjF1OmP+dZsDgZsyz5QKb5W5VYRAlLovw4OS5TXZcqHEs1jk7Xz5MPmBcSDQ0NuxI1vL29fb/TgfHWJ0uCoolfpkFpF68V689evICfv2KGzXdtWIxDZ7rg8wfx0b0G9m6qDT2LvlfCsvvwg41hm3g+ae6ksLNJ9PxXhy7j2QN3L7p//IFleGL7slnNiezb/3XQ3t4Ov0TPSVt/+Xobtq9bhP2nrodNI/GMhWn082TaoCKXe3tHEP9rgWTQTK+yPEnKqQhUygcsmKk03lhwsWw1PvFRo8lfyeRWq6xdjrXr11ifAeYX5eFDO+rjFn32rauYnPZj31t3Xx4QKz8n8p0MPnYxZfpzN3MBwU6WfCDT/KRKLKKEJVF+MmkuUoVjmdQnpK08+YBZwIoEpbGxcaXH43koGAxOA3i1ra3tEgtoDQ0N87xe70Gfz/fYpUuXrjU0NKz2er0/BDAfwNnx8fFPdnZ2TjQ1NZUEg8FnADQCGA0EAh9rb2+/aOdLlgRlF6fV+ZG7Vli2oJMt8tZxhchysY6pRR5vIX7jHRuxjpewHCuhiTMy1s9/9020XB0IF2uoLcXoxDS6+8ZD35Z+4eMbQ8++8dOTMe1Ki/NCNoliiC5r1WuVsXtzUKLn5NlXf3w89O2u9dNYV4qnPrl51tuqIo8h/OU/2dvT4hhtZ7V1cHQKxQW5aO+8267IuO1i5vWv4oJRpmRK0+88SYqmXhoblfIBDR5OjbdUzvWx5ijrbzy5hSUvEj/EnnC2vLwY/f2joSOWtD9O4MLaXtq2OWFHPh/Q5K9YvlhyCIstrS/yWaGyNB+f/p21Md8oSWL72WttuNgxhLaIPBgrP8fDMhl8nOifdK/DzVxAsJElH8j0GUKVWEQJS6L8pPtcE9k+VTiWSX1iretZT2dwC1iGYXwCwHcAvO7xeLzBYHCXx+P5P1pbW39NA1xDQ8NWr9f7fQCGz+cziIBlGMYpAJ8xTfOgYRhfAZBjmuZfNDY2fsfr9fa3trZ+tampaU8wGPyaaZrb7fzIkqDs4rQ6nwhYkcfqIo92RX+YJv/uHZ7EOxd70d03gWvdw2haUoaJKR9WLi3Dle6RkOhjHWvLy8nC4bMzx/WalpYhPzcbp8yb2GAswI61s4/rHQwd67uJpTXzUF9TgnUrKsLH+WhisbNJtAPr4Oku+AP2O7CI3Uce0juworEm31T/4rU27Fivd2DZ8dCJ5zIlUxo83Fy0qJQPaPrCssnK8nAJNORYVqrnequNxNeZi3243jsWEtZZcwvrEbTI2IjYUTE/H8fO98Q8Th2NtdVWkkOvdg/PyZE0fcPaXpo6U2GTzA4jll1VLLax4oy9AysXH9oxe7dzZNlfv3UZ09NBvQMrFcTh/MbdyabIkg9k+gyhSiyihCVRfpwcl6muSxWOpRpHp+vnWRskI2Cd8fv977948WIHCWTlypWNfr//X0zTXE8TWGNj44+8Xu9/IzurfD7fbq/XG/B6vftN01xByq9YsaIuKyvrDdM0GwzDaPf7/XssX+TfgUBgd3t7e2ciX7IkKBo8rUH5k30X8M+v3j1W90ePr4bXg5AgRT5M39NYhflFuTh6rhv1C+djiNxhEXFUbPfGxSjKz8Xzh+8ea/vgzuUozMvmPq5XW1WEhzbOHOdz4seKVd+BFfvOrGQw1ndgJYMee1mZkilN9DxJiqZeGhuV8gENHmSsHzhzA++03QrdC1RdVoDykjwYdaVUXzjEEgWcnuutOF472YnOW2OzchU5Ck7rj1UAiXfsPPp4eiycY7WV9Yg1a3tp+jsVNsnc8cQi0rHYxopT34GVit5Prk43cwFpuSz5QKbPEKrEIkpYEuUnuZlAbGlVOCYW1eS98eQDbgGrqanpRGtr66bIZhuGcdI0zZlzW5Q/hmFc9vl8u7KyshZ6PJ5vmaa5807RLMMwxkzTzDcMY8I0zSJyYo08MwzjQCAQ+Hx7e/uRRG5kSVA0UFqD8sm/3g/z2szRr+wsDx7csgRTU745H/yHRqdCu6h6hyZnHRUjW+Qr5uXjyLnusNuta2owODLFfVyvurwAn3psVdyjejTxRdpET0CRxywSHbngfbsX8U1zlMPOJtHzTHkLYXRf2cXM2rfEXqYEYxe/SrFafcu6TdgOQ9rnKuUDGkxiiTTk6HB5SQ72bEj8hUOsY11kp5LTc7019/7gufPo6Z+Ylato/bEeQYsXW/Tx9FhHGEnZWG2NPnqeqH9Y20vT16myiTzert9COBdlJ/BJVd+5XS/PgsXJNsuSD2T6DKFKLKKEJVF+nByXqa5LFY6lGken6+fJB8wCVlNT0yLS8GAw+OVgMNiRn5//d2NjY4Hs7Ow/8ng8C1tbWz/PEpglYHm93sVer/ebUQLWiGmahYZhTJmmSV4XExawADxpmubbdgJWX586lyNXVJTgu/98Cq+8fS0ES01FIZYtnIdbg7NFKvLBf2rah3UNlRiduD1b3Nq4GMX5OXj+8N2LSz+wcxmK8nLm7MCKPK738OaZBc/Lxzvn2C2uKrK9LJ2FM4ToJFbV+lbHy8KSzLBVkcuVle69hVCVMWTHfiKS/NefzL0bsHJ+PipK8/GR3Stsv3AQMddbcRCx7XqMHVi0uSW6rWRHlJWzYmEVK7ZY+S5W2VhttfMXXQ9re+36O1XPVZu/WHHU+MRHbGYh6U4uuLOGCcqQD2TimCqxEGHpq0eexvy6ctYpJa79UEc/ntr6JJqbV4ZtRPlxLAgBFanCMQFQOuqCJx8wC1iGYRARidxkGqts0DTNLJaoLAHL4/EErSODpHxDQ0Otx+N5va2tzTAMg1zYvtM0zdBr0cgRQo/Hs7O1tbXLTsBiaYsMts8evITWK/2hD/t1C4oxf14uBoZmHxMkRy/Ih/EHN9eiuqwQ3QN37sBaWobJSR+al1fgStcwWq70Y2V9OR7ZuhTFhbl4+e2rOH6+B031ZcjPmbkDa/PKajyytR5l8/JD8A0MT+LFI1dw/EJP6J6SZYvnY8e6ReHnMmCsY9AIaAT4EfB4SKoS/0O+cRfvNX09/vOrrfjJvpZwA0leKC7IQUVZPj78YJNtw0XO9cTXwTNd6OwZCd+BxZJbSHmSv06c78GmVdV4+N6lCXNSZGyRd2BtpixL2nr5+lDo2H50jrQF9k4eZWkvTZ3aRiOQbgi4lQsIDjofpBsb1GnPuXPn8Gf7/tJxAevbj34Jq1evDgMpyo86PacjTSUCrPnAlYVEJACWgHXnEvfTAD5tmuYBwzC+FAwGy9ra2j7X1NT01wB6ySXuzc3NuwOBwHdM09xgByRJUDJ8w2IXJ3luqcrXrg+ELlsnd14trSnBpqYqtFwdnHMH1oHTXaELabevrQndiZVpbyHUO7BoWJGZNjJ9Q2LXAyrFas1Tbn3rrlI+sOMdeR66F+j03DuwmpbQ3YFl+XDibXs07SU2li/yu8i3EJaVFWNgQL+FMLqfVJu/aHlq2Wl84iPG8407K/6J7GXJBzJxTJVYRO2MEuXHyXGZ6rpU4ViqcXS6fp58wC1gbdq0KWdkZOQxAMVEPwkGg1kej6eRvDWQJbD/v71zj7erKO/+M2ufkxtJUAkoAZGQs9c+JwFbpBqsr4C3er+21rdqtSp4R0VErQLKpVbxQtWKVqL2tai1auuNqqVFvEst5VNCSNask0AxRsGAQEIIOXuveT+T7A07h3P2zKy99qy15vnlL2U9a2Y93/k9M3t+63LiON6qP+KuDayJiYk1jUZjvVJqORHdKIR4cZIkO4855piDx8fHP5NlWUsIsSeKoldu3rx5g6mfUN5xN+V5/8ZwGe3Ysf+VydnfJprrrxDm2QDYXMuoY0J6h9mGFfK1oVTPGI5ji29gVUuref8KYbWyGN3VcKtRF5JgM5gW+Aw2sMpaC/RVhbI/CEljXHLx9W0qX/24rBllx3LRWNmcXfv38g2s3kW1Wq2vKqXWENFhQojrlVJ/oF/5S5LkOa4XPqr4UBYoGz4hFaUpX065zmVOmvjU/Tin8eWUa0/LZW1aOK0HLnMANw26sOE4/7rwgXZgYLnopT82z4Ylb19znRfKehBSDXLJxZex5KufIuty1G1x0dioORbdfp71IPcTWHEc37Rs2bLmXXfd9akoii7qdDpLoij6kJTySUUnlre9UBYom/xDKkpTvpxy5biB4jS+nHKFgWWa2co5zk2DrpTBZ35iYAMDy7WeevF5Nix5+4KBVSS50bUV0nwyKBdfxpKvfkaniOJb5qKx4smNtsU860FuA6vVav00SZI/bLVa78iybDpN06/FcfyfUsrHjDZN+9ZhYNmzqlNkSBOQDXfka0OpnjEcxxZPYFVLq9w06EoffGBguWqm36RZseL+TzvkbSfE8/JsWIrkEMr+IKT5iUsuvowlX/0UWZejbouLxkbNsej286wHwxhYV3U6nfcR0cJGo/H8vXv3/uX4+PjPpZSrik4sb3uhLFA2+YdUlKZ8OeWqWSBfkyLqe5zj2MLAqpZeuWnQlT74wMBy1QwMLDOxPBsWc6v2EaHsD0Kan7jk4stY8tWPfdWVH8lFY+WTdruCPOtBbgMrjmP9pNXrV65ceeqvf/3rHyqlTiSi70gpn+l22aOLDmWBsiEUUlGa8uWUKwwskxrqfZyjlmFgVUuz3DToSh98YGC5agYGlplYng2LuVX7iFD2ByHNT1xy8WUs+erHvurKj+SisfJJu11BnvXA2cCampo6PMsykWXZ96IoemrvEpVShxLR16SUE26XPbroUBYoG0IhFaUpX065wsAyqaHexzlqGQZWtTTLTYOu9MEHBparZmBgmYnl2bCYW7WPCGV/ENL8xCUXX8aSr37sq678SC4aK5+02xXkWQ+cDaw4jr9DRD3jSuk3nPRfpCWiTtfA+jO3yx5ddCgLlA2hkIrSlC+nXGFgmdRQ7+MctQwDq1qa5aZBV/rgAwPLVTMwsMzE8mxYzK3aR4SyPwhpfuKSiy9jyVc/9lVXfiQXjZVP2u0K8qwHzgZW75KazeZlaZq+1O0S/UaHskDZUAupKE35csoVBpZJDfU+zlHLMLCqpVluGnSlDz4wsFw1AwPLTCzPhsXcqn1EKPuDkOYnLrn4MpZ89WNfdeVHctFY+aTdriDPepDbwHK7tHKiQ1mgbOiFVJSmfDnlCgPLpIZ6H+eoZRhY1dIsNw260gcfGFiumoGBZSaWZ8NibtU+IpT9QUjzE5dcfBlLvvqxr7ryI7lorHzSbleQZz2AgeXGuLLRIRWlCTKnXGFgmdRQ7+MctQwDq1qa5aZBV/rgAwPLVTMwsMzE8mxYzK3aR8DAsmflKzKkuXZQLr6MJV/9+NJHEf1w0VgRrHy2kWc9gIHlc4RG2FdIRWnCxClXGFgmNdT7OEctw8Cqlma5adCVPvjAwHLVDAwsM7E8GxZzq/YRMLDsWfmKDGmuhYHlSzVu/XDRmBuV8qPzrAcwsMoft0KuIKSiNAHhlCsMLJMa6n2co5ZhYFVLs9w06EoffGBguWoGBpaZWJ4Ni7lV+wgYWPasfEWGNNdyM7Da7TZNT6eFS2ViokljY2OFtctFY4UB89RQnvUABpanwRl1NyEVpYkVp1xhYJnUUO/jHLUMA6tamuWmQVf64AMDy1UzMLDMxPJsWMyt2kfAwLJn5SsypLmWm4GlX1f85Ie+QQ950MrC5HL7HdvpdW97Lk1OThXWJheNFQbMU0N51gMYWJ4GZ9TdhFSUJlaccoWBZVJDvY9z1DIMrGpplpsGXemDDwwsV83AwDITy7NhMbdqHwEDy56Vr8iQ5lqOBtaX1/+CDltxVGFyuXXHzfSiUx8NA2seoqHVi+veAAZWYaVWbkNlCjmKBGWZ2geg/3+PikiZuY4qp0HtIt8yqPvpk+PYui5SRY1EKBuWonhgk21Hctga9bEmzs7EV5/DsrEbgfpGgc9g87OstUBfVSjrQUga45KLr4+r++pH15PuCwaW37UqtHpxXQ9gYPnV28h6K0PId9/bpp9e/xu6Vv6WTnr0IbR7yY204bc30CMPW0vrDjuBljQOGkm+ZeQ6kkQsG0W+lqBqGMZxbF0XqaKGNZQNS1E8YGDZkcxbo7s7d9PVt15D1926ceRrYi+T/jX5+PhQ+sNjH0YHLSzu+yGzieVlY0e+/lHgAwNr1CoOSWNccvFlLPnqBwbWqKt87vZDqxfXvQEMrHJ0V3ivZQj5imu20ZeukDTWEHTSU++hn+246r68/mTqWfSEw08qPE/dYBm5jiQRy0aRryWoGoZxHFvXRaqoYYWBFf6PoKK00t9O3hr9/q9/SF/d9G0va2Kvk96a3Pv/f/aUmJ5ywpGjwLKvzbxsRnZBFWsYfGBgjVqSIWmMSy6+jCVf/cDAGnWVh//bTde+694ABlY5uiu8V98Tv35F4f1f+G/a/L+/o4cdsoQecsJ/04133HRfXvEhq+iM419/36uFRSbsO9cirz1PW8g3D7V6nMNxbF0XqaJGEgZW+D+CitLKsAaWXh8vvvYSkrfd6GVN1J30r8m9Ticf8WB650seNZJ1GAaWWW3c5nczkfsj8mxYXNo3xYayHoSkMS65+DKWfPUDA8s024zmeGj14ro3gIE1Gl15b7UMIffu9jYiQSc/DU9gjWrQyxjbUeVi0y6nfDnl2tvwui5SNpqxiQllw2KTq0sMNw26sBnGpMETWK6kw4tHbc0/pjCwitF7SBrjkosvY8lXPzCwiqll11ZCqxfXvQEMLFfFVDS+DCHjG1h+xFDG2PrJbO5eOOXLKVcYWGVW1eCN5IoVy2jHjp2k9v8tDvzrI5C3RvENLMgor3Y4kIOBVcwoh6QxLrn4MpZ89QMDq5hadm0ltHqBgdWnAE533OcSsq+/RDT7rxDqIej9VULXgrSJD6loke8DCXAaX065wsCyqXb/MXXS4DBrWt5zh+WTt99hlOCrz2HZDJNjHc4Fn8HGueuGpcgxD2V/EJLGuOTiy1jy1Q8MrCJnJvu2QqsX1/UAT2DZa6XSkf1C3rXn/r8O6OMvEfXA+PoLSCEVrY2okK8NpXrGcBxb10WqqJENZcNSFI9eO3XQ4DBryzDn9kxXPKE2t+rqoJ2i68WlPfCBgeWilzyxIWmMSy6+jCVf/cDAylO5w58TWr247g1gYA2voUq00C/kf/uv/X8dsPdv1H+JqNePr7+AFFLR2ogH+dpQqmcMx7F1XaSKGlkYWPU1IYZZW4Y5FwbW4OrjNn+5zkXgAwPLVTOu8SFpjEsuvowlX/3AwHKt2mLiQ6sX170BDKxidFR6Kz0h3377Lvrry/b/dcDev1H/JSLdj8+/gBRS0doIB/naUKpnDMexdV2kihpZGFj1NLCGWVuGObdHi1uNutQb2MDgc9FLf6zWTllrgb6OUNaDkGqQSy6+jCVf/cDAyjsLDndeaPXiuh7AwBpOP5U5G09gVWYoCr+QkCYpGzic8uWUqx77MjctoWxYbGrIJaYOGhzmKaphzu1pFq8Q1tP8dKmDUcTWobZGkbdNm2WuBTCwbEbIf0xI9TIoF1/Gkq9+YGD5r5XQfpvkWQ9gYJWju8J77Z8s8Q2swvGW2mBIi7oNSE75csoVBpaN+v3H1EGDw3zHaphzQ/uRWLS66qCdonN2aQ985qeVZ8Piwt4UG8oNjZA0xiUXX8aSr35gYJlmm9EcD61e8ARWn05CWaBspD+XkH39JaLZ1zfqfkMq2rxja3NeXWM4jS+nXGFgVbMi66TBYdaWvOfWiY9vhYHNYOLgAwNr1DUZksa45OLLWPLVDwysUVf53O2HVi8wsGBgkVLlFJOvXkMqWhtmyNeGUj1jOI6t6yJV1MhyuqHhwoybBl3Y9ExXvEIY/g9oV13YxKO2YGDZ6GSYmJA0xiUXX8aSr35gYA1TwfnPDa1eXPcGeIUwv3YqdWZIQjaB5ZQrxw0Up/HllCuewDLNbOUc56ZBV8rgM9iEgLkHPq41VfZaoPsP5YZGSPMTl1x8GUu++oGBlWcGHP6c0OoFBlafJkJZoGxkHpKQTflyyhUGlkkN9T7OUcuui1RRI8xpPXBhxk2DLmw4zr8ufKCdwbTAZ7C5V9ZaAAPLpcr9xYZUL4Ny8WUs+eoHBpa/GunvKbR6cV0P8ARWOborvNeQhGyCwylXjhsoTuPLKdey77rDwJp7ZuWmQdP6Mvs4+Aw2IfAEFvi41lTZawEMrDwjNvpzQpprYWANr5dbd9xMLzr10TQ5OTV8Y90WuGisMGCeGtLjAgOrDzanDUtIRWmqF065wsAyqaHexzlq2XWRKmqEOa0HLsy4adCFDcf514UPtDOYFvgMNvfKWgtgYLlUub/YkOoFBtbwuoGBxWd9gYE1a6w5bVhCmvhN0x6nXDluoDiNL6dcy77rzmk9MM2h/ce5adCFDcf514UPtMNng+GiC5vYPBsWm3ZtY0JZD0KqQS65+Hq1z1c/uuY2btxAn774cnrIg1balqAx7vY7ttOrz3gmrV17nDHWNoCLxmx5VCUuz3qAVwirMnpDXkdIRWlCwSlXjhsoTuPLKVcYWKaZrZzj3DToShl85icGNjCw2lVBKgAAIABJREFUXOupF59nw5K3r7nOg4FVJM1i2gppPuH2BNb112+gb77pdXTY4iXFiIGIbr1nNz3nY5+kY4+FgTUX1NDqxfWJXBhYhZVauQ2FJGQTSU65wsAyqaHexzlq2XWRKmqEQ9mwFMWjfyOJ7xjBpMmjK27zlysj8BlcV2WtBfqqQlkPQtIYl1x8PRnlqx9dT/oJrJ+//Uw64qClrtPkvPG/unsXnXjRh/EE1jyEQqsX1/UABlZhpVZuQyEJ2USSU64wsExqqPdxjlp2XaSKGuFQNixF8YCBZUeSW43aUdkfBTaDaYEPDCyXesoTG5LGuOTiy1jy1Y/WrX4C67R3fIQWHfTgPDKe85w9d/+OLv3AW/EEFgysOQnAwCqs1MptKKSJ30SSU64cNwmcxpdTrj0tw8AyzXB+j3PToCtd8BlsQuDpPfBxramy1wLdfyg3NEKan7jk4stY8tWPrifd1znrr6ZlK47KMx3Mec7OHTfTBaeuw18hhIEFA6uwqqpgQyFN/Ca8nHKFgWVSQ72Pc9QyDKxqaZabBl3pgw8MGlfN9OKhncHaKWstgIGVV9GjPS+kehmUiy9jyVc/MLBGWxfztR5avbiuB3gCqxzdFd5rSEI2weGUKwwskxrqfZyjll0XqaJGOJQ77kXxwCbbjiS3GrWjsj8KbAbTAh8YWC71lCc2JI1xycWXseSrHxhYeSp3+HNCqxfXvQEMrOE1VIkWQhKyCSinXDluEjiNL6dce1p2XaRM84HtcRhYc5PipkFbvcDgM5OCdmBgmVUy/7xT1lqgryiU9SCkGuSSiy9jyVc/MLDyzoLDnRdavbiuBzCwhtNPZc4OScgmqJxyhYFlUkO9j3PUsusiVdQIh7JhKYoHDBo7ktxq1I7K/iiwgYHlopf+WK2dstYCGFh5R22054U0n+AVwuG1gm9g8Vlf8qwHMLCGr7FKtBDSxG8CyilXjpsETuPLKdeelsvatMDAmv9JCHyIe/5Vh1uNmtbf2SYEtAPtuGim3zgvay2AgZVnxEZ/TkhzLQys4fUCAwsG1iACMLCGr7FKtBDSxG8CyilXGFgmNdT7OEctl7VpgYEFAyvPbMGtRl0YgQ2fDYaLLmxi89xxt2nXNiaU9SCkGuSSi69X+3z1o2sOf4XQduYpLi60enHdG1TSwIrj+EtEdDwR7d6/gRfndTqd6SiK1hPRwUR0/e7du1++bdu2ewZJIZQFykbuIQnZlC+nXGFgmdRQ7+Mctey6SBU1wpzWAxdm3DTowobj/OvCB9qBgeWil/5YGFh5yR14Xkg1yCUXX8aSr35gYBVTy66thFYvrnuDShpYzWZTzszMPOamm266ozegcRxfS0SnSyl/HMfxeUQ0LqV8Fwys/QRCErKpiDnlym1sueXLUcuui5RpPrA9DgNrblLcNGirl14c+MxPDGxgYLnWU39dlbUW6GsIZT0IqQa55OLLWPLVDwysvLPgcOeFVi+u60HlDKy1a9c+ZGZmZgsR/ZiIjiKir2VZ9tkoin4gpVyth3v16tUPbzQaV/X+/3wSCGWBspF4SEI25cspV26GDrd8OWrZdZEyzQe2xzmtB7ZMuNWbCxcYWGZa3OYvM5EDI8BnsPlZ1loAA8tVyX7iQ6qXQbn4MpZ89QMDy099zO4ltHpxXQ8qZ2A1m80pIcR79+7d+5p2u33vkiVLvk1E/05ET5dSntQdwEYcx3dLKRcNkg2nDUtIQjZNBZxy5bjB5DS+nHLtadl1kTLNB7bHOa0Htkw4zi8ubMBnMC1u8xe040oABlZxxOZuKaQa5JKLL2PJVz8wsEZd5Txq33VvUDkDa/YwxXH8PP3qYPeVwX4Da6eUconJwLrttp2kVDni8tmrnvgPOWQZcciXU669DRSXseWWL0ctr1ixvJR1RxtYHOZH13WHmwbBx5XAYBOC09rkSg61NVg7Za0F+qpCWQ9C0hiXXLSxdMHPP0wHP/whrlPKvPF3/vJ2OufEM2lycuq+GF/99Ayssy+9mpat0C9OFfNP/xXCC09bd0BOw7bMRWPDcvJ9/n7z2m1vUMpGYhCYycnJEzqdzuFpmuonr6jZbL5ACPEG/TqhlLKp/9vExMSRQogr0zSNTQaW70FAfyAAAiAAAoM2Lnqp8v9Pb1j894oeQQAEQAAE5iIgRDlrgb4WrAfQZFkENm7cSG/9zvmFG1gfefq5tHbt2vvS8tWP7lD39YaLrizcwPrE2594QE5ljRn6HT0B1/WglI3EIAwTExOPjaLo82NjY/qvEO5tt9vayPoMEekPtr9RSvmjOI7PVUo9OE3TM0wGFpc77iG5yqYy4ZSrZoF8TYqo73GOY+t6l6Wo0Q3ljntRPHrtcNOgKz/wGWRG83ny21U3HNduF0Z57ri7tG+KDWU9CGl+4pKLryejfPWja033hSewTLNOscdDqxfXvUHlDCw9vHEca2PqNCJqCCG+kiTJ2RMTE2sbjcalSqnlRHSjEOLFSZLsNBlYO3bweYVwxYplxCHfkN6Tt5nOkK8NpXrGcBxb1/fcixpZfANrbpLcNOiqJ/AZbGBx+d3hqpuegQU+8887Za0F+opCWQ9Cmp+45OLr21S++ukZWOesL/4VwgtOLf4VwlDm5NDqxXU9qKSBleeHwlznhLJA2fAIScimfDnlyvFHMKfx5ZRrT8uui5RpPrA9zmk9sGXCcX5xYQM+g2lxm7+gHVcCg83PstYCGFjFjWORLYU0nwzKxZex5KsfGFhFVoF9W6HVi+t6AAPLXiuVjgxJyCbQnHLluIHiNL6ccoWBZZrZyjnOTYOulMFnsAkRyt1sV13YxEM7MLBsdDJMTEga45KLL2PJVz8wsIap4PznhlYvMLD6tMDpjntIQjaVM6dcYWCZ1FDv4xy17LpIFTXCnNYDF2bcNOjChuP868IH2hlMC3xgYLnUU57YkDTGJRdfxpKvfmBg5anc4c8JrV5c9wZ4Amt4DVWihZCEbALKKVeOGyhO48sp156WXRcp03xgexwG1tykuGnQVi+9OPAZbELgCSzwca2pstcC3X8o60FI8xOXXHwZS776gYGVZwYc/pzQ6sV1bwADa3gNVaKFkIRsAsopVxhYJjXU+zhHLbsuUkWNcCgblqJ4wKCxI8mtRu2o7I8Cm8G0wGewuVfWWgADy6XK/cWGVC+DcvFlLPnqBwaWvxrp7ym0enFdD2BglaO7wnsNScgmOJxy5bhJ4DS+nHIt+647DKy5Z1ZuGjStL7OPg89gEwJPYIGPa02VvRbAwMozYqM/J6S5FgbW8HrZueNmwl8h5LG+6HqBgdU31pw2LCFN/KZpj1OuMLBMaqj3cY5adl2kihphTuuBCzNuGnRhw3H+deED7QymBT6DN19lrQUwsFyq3F9sSPUCA2t43cDA4rO+wMCaNdacNiwhTfymaY9Trhw3UJzGl1OuZd9157QemObQ/uPcNOjChuP868IH2uGzwXDRhU1sng2LTbu2MaGsByHVIJdcfL3a56sfXXO6r3PWX03LVhxlW4LGOBhYfNaXPOsBXiE0llA9AkKa+E3EOeXKcQPFaXw55QoDyzSzlXOcmwZdKYPP4Kdo8Aoh+LjWVNlrge4fBlaeURvtOSHNtXgCa3itwMCCgTWIAAys4WusEi2ENPGbgHLKFQaWSQ31Ps5Ry2W9NhLKhqVoxXPToCs/8IFB46qZXjy0M1g7Za0FMLDyKnq054VULzCwhtcKDCwYWDCw1PCFVPUWQpr4Taw55QoDy6SGeh/nqOWyNi0wsOauFW4adJ0xwAcGlqtmYGCZieV5ZcTcqn1EKOtBSPMTl1x8vdrnqx9ddXiF0H7uKSoytHpx3RvgCayilFRyOyEJ2YSSU64wsExqqPdxjlp2XaSKGuFQNixF8cAm244ktxq1o7I/CmwG0wKfweZnWWuBvqpQ1oOQNMYlF1/Gkq9+YGC5rJrFxYZWL67rAQys4rRUakshCdkEklOuHDcJnMaXU649LbsuUqb5wPZ4KBsW23xt47hp0JYLDD4zKWgHBpZZJXNH4AmsvOQOPC+kGuSSy8aNG+jdl59PSx96cDEiIKJdt9xJf/XMc2nt2uPuaxMG1gPxctFYYcLy1FCe9QAGlqfBGXU3IRWliRWnXGFgmdRQ7+MctQwDq1qa5aZBV/rgMz8xsIGB5VpP/cZwWWuBvoZQbmiEVINccrn++g10+vmfo8XLD81bPg847567fksfP/cVdOyxMLAGQeWiscKE5akhGFizQIeyQNnoJ6SiNOXLKVcYWCY11Ps4Ry2XtWnhtB64VAU3Dbqw4Tj/uvCBdmBgueilPzbPhiVvX3OdF8p6EFINcsnF1/ei8ATWAyufi8aKnCt9tJVnPcATWD5GxkMfIRWlCRenXDluoDiNL6dce1qGgWWa4fwe56ZBV7rgMz8xsIGB5VpPvfg8G5a8fcHAKpLc6NoKaT4ZlAsMLDsN4a8Q8llf8qwHMLDs6qjyUSFN/CbYnHKFgWVSQ72Pc9QyDKxqaZabBl3pgw8MLFfN9Js0K1Ysox07dpJi8NewXTjl2bC4tG+KxRNYJkL+j4c018LAGl4/MLBgYA0iAANr+BqrRAshTfwmoJxyhYFlUkO9j3PUMgysammWmwZd6YMPDCxXzcDAMhODgWVmZBMR0vzEJRc8gWWjbCIYWDCwYGAxuPMV0sRvmto45QoDy6SGeh/nqGUYWNXSLDcNutIHHxhYrpqBgWUmBgPLzMgmIqT5iUsuMLBslA0Dy0QptHpx3RvgCSyTQmpyPCQhm5BzyhUGlkkN9T7OUcuui1RRIxzKKyNF8cAm244ktxq1o7I/Cmz43CF30YVNLAwsG0rmmJBqkEsuMLDMutYReAKLz/qSZz2AgWVXR5WPCmniN8HmlCvHTQKn8eWUa0/LMLBMM5zf49w06EoXfOYnBjZ8NhiudWOKz7NhMbXpcjyUGxoh1SCXXGBg2VUqDCw+60ue9QAGll0dVT4qpInfBJtTrjCwTGqo93GOWoaBVS3NctOgK33wgYHlqplePLQzWDtlrQX6qmBg5VX16M4LqV4G5QIDy05DMLBgYA0iAAPLro4qHxXSxG+CzSlXGFgmNdT7OEctl7VpCWXDUrTiuWnQlR/4wMBy1QwMLDOxPHfcza3aR4SyHoQ0P3HJBQaWXZ3CwIKBBQMLH3G3my1qEhXSImeDHPnaUKpnDMexhYFVLa1y06ArffCBgeWqGRhYZmIwsMyMbCJCmp+45AIDy0bZ+AaWiVJo9eK6N8ATWCaF1OR4SEI2IeeUK57AMqmh3sc5atl1kSpqhEO5414UD2yy7Uhyq1E7KvujwIbPHXIXXdjEwsCyoWSOCakGueQCA8usax2BJ7D4rC951gMYWHZ1VPmokCZ+E2xOuXLcJHAaX0659rQMA8s0w/k9zk2DrnTBZ35iYMNng+FaN6b4PBsWU5sux0O5oRFSDXLJBQaWXaXCwOKzvuRZD2Bg2dVR5aNCmvhNsDnlCgPLpIZ6H+eoZRhY1dIsNw260gcfGFiumunFQzuDtVPWWqCvCgZWXlWP7ryQ6mVQLjCw7DQEAwsG1iACMLDs6qjyUSFN/CbYnHKFgWVSQ72Pc9RyWZuWUDYsRSuemwZd+YEPDCxXzcDAMhPLc8fd3Kp9RCjrQUjzE5dcYGDZ1SkMLBhYMLDwEXe72aImUSEtcjbIka8NpXrGcBxbGFjV0io3DbrSBx8YWK6agYFlJgYDy8zIJiKk+YlLLjCwbJSNb2CZKIVWL657AzyBZVJITY6HJGQTck654gkskxrqfZyjll0XqaJGOJQ77kXxwCbbjiS3GrWjsj8KbPjcIXfRhU0sDCwbSuaYkGqQSy4wsMy61hF4AovP+pJnPYCBZVdHlY8KaeI3weaUK8dNAqfx5ZRrT8swsEwznN/j3DToShd85icGNnw2GK51Y4rPs2ExtelyPJQbGiHVIJdcYGDZVSoMLD7rS571AAaWXR1VPiqkid8Em1OuMLBMaqj3cY5ahoFVLc1y06ArffCBgeWqmV48tDNYO2WtBfqqYGDlVfXozgupXgblAgPLTkMwsGBgDSIAA8uujiofFdLEb4LNKVcYWCY11Ps4Ry2XtWkJZcNStOK5adCVH/jAwHLVDAwsM7E8d9zNrdpHhLIehDQ/cckFBpZdncLAgoEFAwsfcbebLWoSFdIiZ4Mc+dpQqmcMx7GFgVUtrXLToCt98IGB5aoZGFhmYjCwzIxsIkKan7jkAgPLRtn4BpaJUmj14ro3wBNYJoXU5HhIQjYh55QrnsAyqaHexzlq2XWRKmqEQ7njXhQPbLLtSHKrUTsq+6PAhs8dchdd2MTCwLKhZI4JqQa55AIDy6xrHYEnsPisL3nWAxhYdnVU+aiQJn4TbE65ctwkcBpfTrn2tAwDyzTD+T3OTYOudMFnfmJgw2eD4Vo3pvg8GxZTmy7HQ7mhEVINcskFBpZdpcLA4rO+5FkPYGDZ1VHlo0Ka+E2wOeUKA8ukhnof56hlGFjV0iw3DbrSBx8YWK6a6cVDO4O1U9ZaoK8KBlZeVY/uvJDqZVAuMLDsNAQDCwbWIAIwsOzqqPJRIU38JticcoWBZVJDvY9z1HJZm5ZQNixFK56bBl35gQ8MLFfNwMAyE8tzx93cqn1EKOtBSPMTl1xgYNnVKQwsGFgwsPARd7vZoiZRIS1yNsiRrw2lesZwHFsYWNXSKjcNutIHHxhYrpqBgWUmBgPLzMgmIqT5iUsuMLBslI1vYJkohVYvrnsDPIFlUkhNjockZBNyTrniCSyTGup9nKOWXRepokY4lDvuRfHAJtuOJLcataOyPwps+Nwhd9GFTSwMLBtK5piQapBLLjCwzLrWEXgCi8/6kmc9gIFlV0eVjwpp4jfB5pQrx00Cp/HllGtPyzCwTDOc3+PcNOhKF3zmJwY2fDYYrnVjis+zYTG16XI8lBsaIdUgl1xgYNlVKgwsPutLnvUABpZdHVU+KqSJ3wSbU64wsExqqPdxjlqGgVUtzXLToCt98IGB5aqZXjy0M1g7Za0F+qpgYOVV9ejOC6leBuUCA8tOQzCwYGANIgADy66OKh8V0sRvgs0pVxhYJjXU+zhHLZe1aQllw1K04rlp0JUf+MDActUMDCwzsTx33M2t2keEsh6END9xyQUGll2dwsCCgQUDCx9xt5stahIV0iJngxz52lCqZwzHsYWBVS2tctOgK33wgYHlqhkYWGZiMLDMjGwiQpqfuOQCA8tG2fgGlolSaPXiujeo1RNYrVbrhUqp9xDRuBDisiRJLhg0wKHcYTGJmNtTOiEVLcb2gQQ4jS+nXHvzlOsiZVMjNjGc1gMbHthk21HiVqN2VPZHgQ2fO+QuurCJhYFlQ8kcE1INcskFBpZZ1zoCT2DxWV/yrAe1MbBWrVr10PHx8avHx8cftXHjxjvjOP6uUuqiNE2vmG+IOW1YQpr4TVMbp1w5bhI4jS+nXGFgmWa2co5z06ArZfCZnxjY8NlguNaNKT7PhsXUpsvxUPYHIdUgl1xgYNlVKgwsPutLnvWgNgZWq9V6aZZlT0jT9FV6SOM4/nMiOllKeSoMLPs7oVEkKMvq/U5lSIuczTSOfG0o1TOG49jiCSw7rfqaq7lp0I7+/VHgAwPLVTO9eGhnsHbKWgv0VcHAyqvq0Z0XUr0MygUGlp2GYGDBwBpEoE4G1juyLDsoTdNzuwbWk5RSZ6Vp+jQYWGYDa3fnbrr61mvouls30iMPW0vrDjuBljQOsptFKhYV0iJngxb52lCqZwzHsS1r01KXDYvvuZqbBl1nCvCBgeWqGRhYZmJ57ribW7WPqMt6YMoopPmJSy4wsEyq3n8cBhYMrCAMrDiO/1IptbjfwCKiM6WUzxhkYN12205S9X7gyKrS9cR/yCHLaL58v7/9h/SVTd++r60XTj2LnrDyJKu2qxZkyrVq1zvs9SDfYQlW93yOY7tixfJSbpzoDUsd1gPfczU3DbrOBuAz2MAa9LvDlXVo8dCOyfwsZy3QV1WX9cBUEyFpjEsu2sA6+9KradmKo0zDa31cmz0XnraOJien7jtH93PBzz9MBz/8IdbtmALv/OXtdM6JZx7Qjz7HV06m6zMd56IxE4eqHd9vXrutB6VsJPKAm/3KoH6lUCl1kpTy1YMMrDx9hXjO2f/xQZI7tt6XWrziGLrwSWeFmCpyAgEQqDABIfRS5f+f3rD479W9R8zV7sxwBgiAQP0IlLUW9Ays+hHDFYdAYOPGjfSGi64s3MD6xNufSGvXrr0Pke7nrd85v3AD6yNPP/eAfnSHvnIKYfyRw9wEXNeDUjYSeQZvamrq8E6n85Msy9YdfPDBd+zatUs/TnRJkiTfGGRg1eGOex4es88xucq+7+oXkdN8bZhyHWXfZbSNfMug7qdPjmPrepelqJGoyx1333M1Nw266gl85icGNoPVBD6DtVPWWtAzsELYH4SkMS65+HpaCU9gPXD+4aIx1985ZccH/QSWhttsNv9YCPEeIlqglPp6mqbvHAQ9lHfcbYRlenfc93dVbK45b4wp17ztVvU85FvVkRn+ujiOLb6BNVg3vudqbhp0rVrwMZkQy2jHDh6faoB2XAkM1k5Za0HPwApBtyHNT1xywTew7OYRfAPLfINkxYow1l9d+67rQW2ewLKT+4FRMLAeSM3XX7bKM16254S0yNnkjHxtKNUzhuPYui5SRY1s3dYDX3M1Nw266gl8YGC5aqYXD+3AwMqrHdvzQtIYl1xgYNmpGwYWDKxBBGBg2dVR5aNCmvhNsDnlqlkgX5Mi6nuc49jCwKqWXrlp0JU++MDActUMDCwzsTx33M2t2kfU7YbGfJmFND+VmUu73abPfW69vYAMkTqXpUsX0Qtf+FJqNMYOiIaBZYcZBhYMLBhYtfh0r11Bc1jETCTKXORM1zaK48h3FFSr0SbHsYWBVQ3tYZNtNw7catSOyv4osOGzwXDRhU0sDCwbSuaYkGqwzFy0qXTah19Lix+0xAzdMuKeO3bT+rd9ilqt+/8yoD4VBpYdQBhYfNaXPOsBnsCyq6PKR5U58fuGwylXjpsETuPLKdeelmFg+Z4x+fwIGgVZbjXqwhBsUFsueumPzbNhydvXXOfhCawiaRbTVpnziTaVLrz6w4X/xb5zTjwTBlZOecDA4rO+5FkPYGDlLKyqnVbmxO+bBadcYWD5Vpff/jhqGQaWX42ZeuOmQROP2cfBZ35iYMNng+FaN6b4PBsWU5sux2FgudDyE1vmfLJx4wZ69+Xn09KHHlxYsrtuuZPe96xzac2a4w5oE09g2SGGgcVnfcmzHsDAsqujykeVOfH7hsMpVxhYvtXltz+OWoaB5Vdjpt64adDEAwaWPSFoh88Gw14VdpF5Nix2LdtFwcCy4+Qzqsz55PrrN9Dp53+OFi8/tLCU77nrt/S373kFrV0LAysPVBhYfNaXPOsBDKw8VVXBc8qc+H3j4JQrDCzf6vLbH0ctw8DyqzFTb9w0aOIBA8ueELTDZ4Nhrwq7yDwbFruW7aJgYNlx8hlV5nwyqqeiLjxtHV4hzCkiGFh81pc86wEMrJyFVbXTypz4fbPglCsMLN/q8tsfRy3DwPKrMVNv3DRo4gEDy54QtMNng2GvCrvIPBsWu5btomBg2XHyGVXmfAIDy26k7/zl7XT2ujNpcrKcD9PbXeX8UWVqbNhrD/m3SZ71AAZW0Yoqqb2QitKEkFOuMLBMaqj3cY5ahoFVLc1y06ArffDhsRlw1YVNPLQzWDtlrQX6qmBg2SjYb0yZ9QIDy26sYWDZcfIRVWa9FJ0fDKxZRENZoGyEEpKQTflyyhUGlkkN9T7OUctlbVo4rQcuVcFNgy5sOM6/LnygncG0wAcGlks95YkNSWNl5gIDy059MLDsOPmIKrNeis4PBhYMLNqxYycpVbS0qtVeSEVrQxb52lCqZwzHsYWBVS2tctOgK33wGWxCrFixjMXvDlfdwPw0m3tlrQX6ykK5oRHS/FRmLjCw7GY4GFh2nHxElVkvRecHAwsGFosfkiEVrc0kgHxtKNUzhuPYlrVpCWXDUrTSuWnQlR/4wMBy1UwvHtoZrJ2y1gIYWHkVPdrzyqwXGFh2YwsDy46Tj6gy66Xo/GBgwcCCgVV0VVWgvZAmKRucnPLllGvviYSyNi0wsOauPm4atJmD+mPABwaWq2ZgYJmJ5dmwmFu1jwhlPQhpfiozFxhYdrUDA8uOk4+oMuul6PzyrAf4iHvRo1BSeyEJ2YSQU669TT+n1zQ4jS+nXGFgmWa2co5z06ArZfCBgeWqGRhYZmJ5NizmVu0jYGDZs/IVWeZcCwPLbpRhYNlx8hFVZr0UnV+e9QAGVtGjUFJ7IQnZhJBTrjCwTGqo93GOWsYTWNXSLDcNutIHHxhYrpqBgWUmlmfDYm7VPgIGlj0rX5FlzrUwsOxGGQaWHScfUWXWS9H55VkPYGAVPQoltReSkE0IOeUKA8ukhnof56hlGFjV0iw3DbrSBx8YWK6agYFlJpZnw2Ju1T4CBpY9K1+RZc61MLDsRhkGlh0nH1Fl1kvR+eVZD2BgFT0KJbUXkpBNCDnlCgPLpIZ6H+eoZRhY1dIsNw260gcfGFiumoGBZSaWZ8NibtU+AgaWPStfkWXOtTCw7EYZBpYdJx9RZdZL0fnlWQ9gYBU9CiW1F5KQTQg55QoDy6SGeh/nqGUYWNXSLDcNutIHHxhYrpqBgWUmlmfDYm7VPgIGlj0rX5FlzrUwsOxGGQaWHScfUWXWS9H55VkPYGAVPQoltReSkE0IOeUKA8ukhnof56hlGFjV0iw3DbrSBx8YWK6agYFlJpZnw2Ju1T4CBpY9K1+RZc61MLDsRhkGlh0nH1Fl1kvR+eVZD2BgFT0KJbUXkpBNCDnlCgPLpIZ6H+eoZRhY1dIsNw260gcfGFiumoGBZSZKC4D/AAAgAElEQVSWZ8NibtU+AgaWPStfkWXOtTCw7EYZBpYdJx9RZdZL0fnlWQ9gYBU9CiW1F5KQTQg55QoDy6SGeh/nqGUYWNXSLDcNutIHHxhYrpqBgWUmlmfDYm7VPgIGlj0rX5FlzrUwsOxGGQaWHScfUWXWS9H55VkPYGAVPQoltReSkE0IOeUKA8ukhnof56hlGFjV0iw3DbrSBx8YWK6agYFlJpZnw2Ju1T4CBpY9K1+RZc61MLDsRhkGlh0nH1Fl1kvR+eVZD2BgFT0KJbUXkpBNCDnlCgPLpIZ6H+eoZRhY1dIsNw260gcfGFiumoGBZSaWZ8NibtU+AgaWPStfkWXOtTCw7EYZBpYdJx9RZdZL0fnlWQ9gYBU9CiW1F5KQTQg55QoDy6SGeh/nqGUYWNXSLDcNutIHHxhYrpqBgWUmlmfDYm7VPgIGlj0rX5FlzrUwsOxGGQaWHScfUWXWS9H55VkPYGAVPQoltReSkE0IOeUKA8ukhnof56hlGFjV0iw3DbrSBx8YWK6agYFlJpZnw2Ju1T4CBpY9K1+RZc61IRpYGzduoHdffj4tfejBhQ3hrlvupL965rm0du1xB7Q5Kn4XnLqOJienCrv+MjVWWBLdhkLLxXVvAAOraEWV1F5IQjYh5JQrDCyTGup9nKOWXRepokY4lA1LUTywybYjya1G7ajsjwKbwbTAZ7D5WdZaoK8qlPUgJI2VmcuoDJgLT1tHrdaBBsyo+ppt9lx//QY6/fzP0eLlh7pM6wNj77nrt/Txc19Bxx4LA6swqDkbKrNecl7yvKfluaEBA6voUSipvZCEbELIKVeOmwRO48sp156Wy9q0hLJhMc2Prse5aRB8XAkMNiFWrFhGO3bsJKWKazeUllBbMLBGreWQNFZmLqMylco0sEaV01xPRfnsa5iaKlNjw1z3XOeGlovr3gAGVtGKKqm9kIRsQsgpVxhYJjXU+zhHLbsuUkWNMAysuUly06CrnsAHBparZnrx0A4MrLzasT0vJI2VmcuoDBgYWLZKfmDczh03E14h5LH+4gmsWePMacNS5sSff3rKdyanXGFg5dNIXc7iqGUYWNVSJzcNutIHHx4/oF11YRMP7cDAstHJMDEhaazMXGBg2alwPlNpVPxgYPFYf2FgwcBi8Sh/mYuc3RRfbBTyLZZnlVrjOLYwsKqkQHzHyDQa3GrUxKP/ONgMpgU+MLBc6ilPbEgaKzOXURkweAIrj6r3n4MnsPisLzCwYGDBwMo/V1b2zDIX9TKgcMqXU65aS3kWqaI0yOmJXBdm3DTowqanWXznaW5q0A6fDYZr3Zjiy1wL9LWFsh6EVINl5gIDy1Sxg02lUfHDE1iDbwKE8tskz3qAb2DZ1Wzlo8qc+H3D4ZQrxw0Up/HllCsMLN8zpV1/3DRoR+X+KPDh8QPaVRc28dDOYO2U9TQuDCwb9fqPKbNeRmXA4Ams/DrCE1h8bpDAwJo11qHcYbEp/zInfpvrKzKGU64wsIpUTvXa4qjlsjYtnNYDF6Vz06ALG47zrwsfaIfPBsNFFzaxeTYsNu3axoSyHoRUg2XmAgPLrnLwDSw7Tj6iyqyXovPLsx7gCayiR6Gk9kISsgkhp1w5bqA4jS+nXHtahoFlmuH8HuemQVe64DM/MbCBgeVaT734PBuWvH3NdR4MrCJpFtNWmfMJDCy7MYSBZcfJR1SZ9VJ0fnnWAxhYRY9CSe2FJGQTQk65wsAyqaHexzlqGQZWtTTLTYOu9MEHBparZvpNmlC+UZKXwXzn5dmwFHkNMLCKpFlMW2XOtTCw7MYQBpYdJx9RZdZL0fnlWQ9gYBU9CiW1F5KQTQg55QoDy6SGeh/nqGUYWNXSLDcNutIHHxhYrpqBgWUmlmfDYm7VPgIGlj0rX5FlzrUwsOxGGQaWHScfUWXWS9H55VkPYGAVPQoltReSkE0IOeUKA8ukhnof56hlGFjV0iw3DbrSBx8YWK6agYFlJpZnw2Ju1T4CBpY9K1+RZc61MLDsRhkGlh0nH1Fl1kvR+eVZD2BgFT0KJbUXkpBNCDnlCgPLpIZ6H+eoZRhY1dIsNw260gcfGFiumoGBZSaWZ8NibtU+AgaWPStfkWXOtTCw7EYZBpYdJx9RZdZL0fnlWQ9gYBU9CiW1F5KQTQg55QoDy6SGeh/nqGUYWNXSLDcNutIHHxhYrpqBgWUmlmfDYm7VPgIGlj0rX5FlzrUwsOxGGQaWHScfUWXWS9H55VkPYGAVPQoltReSkE0IOeUKA8ukhnof56hlGFjV0iw3DbrSBx8YWK6agYFlJpZnw2Ju1T4CBpY9K1+RZc61MLDsRhkGlh0nH1Fl1kvR+eVZD2BgFT0KJbUXkpBNCDnlCgPLpIZ6H+eoZRhY1dIsNw260gcfGFiumoGBZSaWZ8NibtU+AgaWPStfkWXOtTCw7EYZBpYdJx9RZdZL0fnlWQ9gYBU9CiW1F5KQTQg55QoDy6SGeh/nqGUYWNXSLDcNutIHHxhYrpqBgWUmlmfDYm7VPgIGlj0rX5FlzrUwsOxGGQaWHScfUWXWS9H55VkPYGAVPQoltReSkE0IOeUKA8ukhnof56hlGFjV0iw3DbrSBx8YWK6agYFlJpZnw2Ju1T4CBpY9K1+Rs+fadrtN73//hSPp/p3vPJvGxsbuaxsGlh1mGFh2nHxEhfTbJM96UCkDa3JyMs6y7BdEtKU7+LdIKZ+u/3ccx+8joufr/62UOitN02+bBBLKAmXKk5vJEVLRYmwfSIDT+HLKtTdPwcCyqXp/Mdw06EoWfGBguWoGBpaZWJ4Ni7lV+4hQ9gchzU+zc9Gm0ktefzYtWLzcfmAtIvfecxd94ZILaXJyCgaWBa/+EBhYjsBGGB5a7bvuDSplYLVarZdmWXZCmqZn9I95q9V6LhG9PkmSp61Zs+ah7Xb7J+12+1Fbt269c5A2QlmgbPQfkpBN+XLKlZs5yS1fjlp2XaRM84HtcU7rgS0TbvXmwgUmhJkWt/nLTOTACPAZbH6WtRboqwplPQhJY3MZWOesv5qWrTjKtfQGxs9lwuAJLDvEMLDsOPmICq32XdeDqhlYH1VKHa+UWiKE+F2WZW+enp6+IY7j9UT0AynlP2hR6P8vhLgqSZLLYGDtJxCSkE2FzylXbmPLLV+OWnZdpEzzge3xUDYstvnaxnHToC0XGFhmUtDOYEbgAwPLXEXDRfRr7C1nnU433XTjcA3OOvuRx/0enXfOXxXa5nyNwcDKj9mnKXfBqesOeHpNX/WoDMDZfenXSq+44nu5QWmNLV++mO666x5S6v5mnvKUpx7wSqk+MqpXWGe/vpo3p/ly6WU1V065wY34xDxP5FbKwOq+JrhZSvn5OI71q4MfW7ly5dT27du/JYT4YJIkV2qGrVbrAqXU3VLK98PAgoE14roqvXluP4I55csp1545CQOr9CnlgAvgpkFX+uAz2IRYsWIZ7dix84DNgCvjUOOhHRhYo9Z2v8be9PG3UnvN/d91KqLvZXKM3v9a/QWX0f+DgZWfMRcDSxtl//z60+iwxUvyw5p15q337KYXXHLpnKZc0a+wzvf6qq+cCoNWcEO1MbBardafKKUu1k/xdhloI+1mKeXj+pnEcXxtFEUvU0p9iIg+0G9gEdHOJEkuMhlYt93G44eVHvxDDllGHPLllGtv089lbLnly1HLK1YsL+XGiX4Ci8P86Pq7gpsGwceVwGATgtPa5EoOtWUyP8tZC/RVhbIe9GvsTR97K80UbGAt1wbW6x5oYF144Xtdy8EYf8457z1gH6PNijM++HU66EGHG891Cbj7jl/TxWc97wHfwCq6L93P37z9edRq3f+tLX2do8jLZ06z2fnO6cdvfTMdcdBSlyEfGPuru3fR//nIR+c0sEahibm05yunwqAV3NB+89ptPShlIzFf3s1m822LFy/+5HXXXXe3jonj+Doi+lP90fYoiq5MkuQL3f++Xil1ZZqmXyyYIZoDARAAARAAARAAARAAARAAARAAARAAARCoGIGqGVjfFUJ8S0r5iVar9USl1MeklMc2m80XENGr0zR95qpVq1aMj4//rNPpnLhly5ZbK8YTlwMCIAACIAACIAACIAACIAACIAACIAACIFAwgUoZWFNTU4/odDqfU0odKoS4O8uyV01PT2/UOcdxrL8iqP8aYURE50kpv1wwCzQHAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiBQQQKVMrAqyAeXBAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgUDIBGFglDwC6BwEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQGEwABhYUAgIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgUGkCMLAqPTy4OBAAARAAARAAARAAARAAARAAARAAARAAARhY0AAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgEClCdTGwGo2m68QQpwkpXxFj2gcx+8joufr/6+UOitN02/r/91qtV6olHoPEY0LIS5LkuQC/d8nJibWRlG0nogOJqLrd+/e/fJt27bd02q1liml/oGImkS0q9PpvGTLli3T+pz5+qjSqM6Xb5Wucfa1TExMLI+i6MftdvtZW7duvbnIsXEd/1FziuP4rUoprV+llPrFEUcc8ZpbbrllstPpXFqEFquUb7PZfL8Q4tlKqUwI8Vkp5cVTU1PHhphrv25ardYHieiQJEleGWq+cRx/iYiOJ6LdOnchxHmdTme6qDk1r45nzyVxHD+diN6vlwUi2rBr167XbN++fffq1asnxsbG1iulHkxEOxqNxms3bdqUduf5bUR0a9+YPltK+atRzw2jbH/U884or91H2wXyYa2d3li5/EbzMb6j7MNFOwY+rLUzOTl5dJZl+jf5CqVUO4qis5Ik+f6ofntPTk7GWZb9goi2dMflFimlXi9q8Vt/tqbr+Nu/PweX3xSjrOdh2s67l8my7MXT09M9HQ5zCYWdOzuXZrP5aiGE3kvf0v3Nd3mSJOfM3jNXLReX+bluuSxfvvy1d911l95P1m5chtkfzqWxyhtYExMTC4UQ5wshXieE+KreIHZNqucS0euTJHnamjVrHtput3/SbrcfpZRaND4+fvX4+PijNm7ceGccx99VSl2UpukVcRxfS0SnSyl/HMfxedrgklK+q9lsXhxF0e3a6Gq1Wk9QSl0opXxcHMfP0/3O7mPr1q13FjZjDNnQqlWrHjpfvkM2PbLTJyYmToyi6NP6N0O73Y61gVXU2OQZ/5Eluv9H0aOJaP3evXvX3XTTTXviOP5/QohrlVIvL0KLVco3juNnCCHeniTJE44++uiFCxYsuCGKoqdlWfbl0HKd9SPsSUT0JSHEt/X8FKqWm82mnJmZecxNN910Ry//snOdPZcQ0Z1jY2NSKXVKmqabms3mWUR0RJqmb4nj+EdKqc+kafr3zWZznRDiU1LK4ycmJo6Mouhb+n+Pci7w2fao550qrYF5uBbFB9qR73L9jcZNO/PxYa6dMSnlu+M4/rYQ4ktJknwhjuNJIrpKSnl4HMfPHcVv71ar9dIsy05I0/SM/nmj1WrNuZ+oslbr+Nt/9lzt8psizzw/6nOK2MuM+hpt258nl/VCiG8lSfKN/nbm2zPb9jXKuKLW9lFeo23bA3I5tobjUsj+sJ9d5Q2sVqulN8CnENGNURSt6xlYcRzruzY/kFLqJ6e0UaAL7Sr9v7Mse0Kapq/q/vc/J6KTsyx7bxRFOn61/u+rV69+eKPR+L6UciKO4+lOp/OELVu2/LJ7zrTuM4qi987VR5Ikl9kKcNRx3QX5AflKKU8ddd952282m5+Jouiz+qm3drutOWdFjY3j+OsfS/v0MKp/+qmPRqNxuJTyR11tnSmEWKuUOrkILVYtXyJqEFFnamrqEVmW/bDT6Twu1LHV7NeuXfuQmZmZy4UQ/0hEv9fpdM4NMd9unvpu4Y+J6Cgi+lqWZZ8tO9fZc8n4+PhhSqlPSCnX6fFpNptTQojvSCmPjuN41+7duw/VT912a/EWvaZkWaaNqwuJ6DYiWkxE75NS/suo5gQf7Y563qnSGpiHZ4F89A0KrtrZt366/kZjpB0TH/32AGvtxHH8or17935D39wjoiiO4x1CiEcopS4exW/vVqv1UaXU8UqpJUKI32VZ9ubp6ekb5ttPVFmrdfzt3z9XO/ymGPnv9DxrSPf3xdB7menpaf0UZun/Zv+W6j5Y8D9EdDMRPZyI/ifLstOnp6fvmm/PXIVcilrbq5qLviFLRPqmea3GpSvwofeH/eNSeQOrV9VxHL9cCHFyn4H1HSHEB5MkuVLHtFqtC5RSd+vXtLIsOyhN03O7m5Qn6dcLieg9Ol5KeVIPZBzHd0spF8VxfI+U8iDtfXXP+WGWZe+IoujcufqQUurXUyrxr9VqvWOufNM0fVolLnDARcRxfGO73T5ZGzxFjU2e8ffFafXq1Yc1Go2rhRCfVEo9qwgtVjHfbi2eIYT4p06n8+koii4KNdc4jv8piqJLsix7hJ6fsiz7uxC13DWC3rt3797XtNvte5csWaJf1/53Inp6Fca2N5d0n8DaFEXRUzdv3rwhjmN9E+Kd3Xn+B0KIzydJ8pk4jvUPgO9mWfb4KIr02J2QJMk7Jycnj9LGaxRFT968ebP0NTeMsp9RzDtVWgOHZZeTz4+yLDsL2pGLXH+jcdPOAD4v4j7v9NduHMfvJKInSymfHMfxnL/vh9VO95Mgm6WUn+++av6xlStXTm3fvv1bVf+tP3ueq/Nv/76bS9a/KYad50d5fs69zL41ZHp6+uejvDbXtnu5bN269ZdxHH+TiM6WUv5PHMd/TUT6ZvxfzLFnrmQuw6ztVRuXXi5RFL0iy7Iz6zouQ+wPH6CxyhhYrVbrT7p3XfR3S/Q/fW0361f5uqbSAQZWq9X6HhF9oN/AIqKdSqmGUmpxv4FFRGdmWXZBFEUfmLXZ2imlXBLH8b1SSn3nvWdg6adl9JMy+ttZD+gjSZKLXCeFUcXHcfyXc+UrpXzGqPosqt3eRBlF0RFFjU2e8S8qn0HtdL/1oDf9l2VZ9oPQ8z3yyCMXa5NDPxWplHpKEXVXtbGN41g/5TgppXxbz2DX3/oKfWy78/Hz9Guh3dew+28K5JpThx3bvh9dNzebzScLIfSTDXoN0d+Z+4iUcnmz2TxGCPFxIlpJRN9RSv2RUurV09PT/91fu81m82+EENNSyr/1MTeMso9RzTtVWgOH4TcsHynlf3LXznwGzXy/0bhpZz4+s3XLcd7pMdBmjFLq1EajcdKmTZt+Pax2TPuJvjG5NoqilymlPlT13/qz9VLn3/5zzdn6ky2DflMMM8+P+txh9jKz15BRX6up/f7fUv2xRx999IMWLFigfxetmG/PXKVcil7bTdxGebw/l9kmft3GRXMaZn/Yr7HKGFimwZ/9BFb3cccr9bvz3Q2V/jjvlUII/Yiafj1r3yt0+jFbpdRJnU7ngt4rg/q/6+8PCCGuTNM0juNYvxqjPxC/76O9+vFI/cH4run1gD7SNP2i6Xp9HY/jeN8rkrPzlVK+2tc15O2nN1Hqp4iKGps845/3+m3Pazabv6+/j9R9NemS/tdXh9VilfKdmJhYMz4+Hm3atOn6bh29Xil1QvePL+g/kDBU3VUp125+/0ZED9OvTAohHqKU0k9xfr1bj0HlOzk5eUKn0zm894cyms3mC4QQb9CvE0opS8+170fXtomJiUn9WkhXb8fr15X19630B3wPOuigG6+55poZbW7p11UWLlw4sWfPnic2Gg2pn9jqjuvHlFI3pGn6Kdsar2LcKOedKq2BedkXxOex3LXTZwYccJNxvt9o3LQzgM8fQzv7XvO+RAhxYqfTedqWLVv2/SGNUWmn2Wy+bfHixZ+87rrr7u7O9dcR0Z/qtzSiKKr0b/3Z81ydf/vrXFx/U+Sd532cN8xeJkmS7T6u0baPPjPuniiKXiilvKQ7XodkWbZRSvmw+fbMVcmliLW9qrlMTEwcWsdxKWp/2D8udTawXkBEr07T9JmrVq1aMT4+/rNOp3PiggULGp1O5ydZlq07+OCD79i1a5c2Dj6RJMk34zjW7/O+UX+PKI7jc/Vfo9Ifc9Tvxeu/SqU/4j45OXlKlmUX6w2P3qTN1UdvkbWdEEYZNzU1dfgc+V4y+6N7o7yGvG33O/1FjU2e8c97/TbndScb/SPpdVJKbW7s+xdivs1m84+FEG9ZuXLlE7Zt29aIokg/gfV3Sqlziqi7qo1t//j3G+whju3ExMRjoyj6/NjYmP5e1N52u63n1c8Q0buqMLazHnv/ZZZlJ05PT/+q2Wz+QxRFG5Ik+UCr1fqqUuqrUsp/1H9dh4heoF+17r66cryU8kXd+VSvJY/vfRPRps6rFjPqeadKa2Ae9kXxgXbu/xj2HDcZK//7yYd25jOwoJ30jO4fUzpl0aJFz+iZSl0DayTaaTab39UfP5ZSfqLVaj1RKfUxKeWxdfitP1urdf7tr3Nx/U2Rp1Z9nTPMXsbXNdr208tl7969v12yZMn/CiGenCTJdbpWlVKHpmn6+vn2zLZ9jDKuqLV9lNdo2/ZcuaxcuXLJ0qVLbxRCPKVO41LU/rCfXW0NrK4J8FdEpP96SERE50kp9V8703dv9EZa/4nJBUqpr6dpqt+t1xPmmkajoZ/UWq4/Ci+EeHGSJDuPOeaYg8fHxz+TZVlLCLEniqJX9t2Nn7MPWwH6iJsvXx99D9NHHMdb9Ufc9ccCixwb1/EfJgfTua1W60Kl1FuISH9PR9ebEkJc3ul0vlSUFiuYr/44bZuIviylfN/ExMTaRqNxaRF1V6Vc5zOwQs03jmP9l5tO0x/qF0J8JUmSs6uSa/9cMjk5+dQsy/Rr3guJ6D+klG/ST8l1H8O+TCl1MBH9anx8/C9uuOGG36xZs2ZBu93+OyJ6jB5TpdS5aZp+zVTbVT7uY96pcv6mayuKD7ST7JzPoBn0G800PlU+7qqd+fhw187ChQuzPXv27NBzMRHd1ft9RETP1m9DdL9X9ZzZv++H0Yb+4zKdTudzeiMuhLg7y7JXTU9Pb6yrVuv627+vJqx/Uwwz7qM+d9i9zKivz6X9/ly63wrVr9fq31KbhRAvN+2ZXfoaRazr/Dxo/z+K63Npc75clFL6D9bValx03t18ht4f9hjWxsByGXTEggAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIhEMABlY4Y4lMQAAEQAAEQAAEQAAEQAAEQAAEQAAEQCBIAjCwghxWJAUCIAACIAACIAACIAACIAACIAACIAAC4RCAgRXOWCITEAABEAABEAABEAABEAABEAABEAABEAiSAAysIIcVSYEACIAACIAACIAACIAACIAACIAACIBAOARgYIUzlsgEBEAABEAABEAABEAABEAABEAABEAABIIkAAMryGFFUiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAQDgEYWOGMJTIBARAAARAAARAAARAAARAAARAAARAAgSAJwMAKcljDTyqO4+80Go1Xbtq06deDso3jOBNCHJkkyfb+uImJiZOjKFovpWy60Irj+FIi+qWU8vxB57VarauUUkcT0e3duIVEdJMQ4o1Jktw4+9xms/kaIjo0TdMLXa5nrti8uQ3bL84HARAAARAojkCr1XqHUurJWZY9a3p6+t7iWkZLIAACIAACeQnY7EEqtP/Qe31FRJ+VUv5tq9V6pFLqn5VSdxDRnxPR6UKIpxHR16WUb52PSRzHN0ZR9JLNmzf/tD8mjuNnKKVOStP0nXl54jwQcCUAA8uVGOIrQWC+hWH2xcVx3BFCPHwuA0sIcWmaprFLQrYGVrPZ/D4R6fa/2Gs/juMPEdFJUsrHuPTpGqsNrDy5ufaDeBAAARAAgdERiOP4I0T0QyHEtiRJ/mt0PaFlEAABEAABWwI2e5CS9x+fTtP0S3PlE8fxuUQ0IaV8mT6ur1Mp1UzTdOug/AcYWO8hoiOklK+25Yc4EBiWAAysYQnifO8Ems3mZUKIFyulNo6Njb1AKbVcKfVhIlqglFophPivpUuX/tk111wzoxcZbSQJIf5AKTVORB+UUv7DbJOn2WyeRUQviqJIKKVubTQab9q0aVO6atWqh46Pj3+OiI4iot8QUUREV5mewJrHwHo6EX1ZSrlcHxdC3K6U0gbaPwohxojoSCnlaXEc6zsi+i7IDBF1iOgsKeWP5zDndHvn6ryEEG0hxHuTJPluf24TExPHR1H0L0KI1zYajSvb7faniej3u21v3bVr1yu2b9++u7/tVqu1TCn1MSJ6NBFpfj9ftGjRGdddd93d+rqjKNIbqScqpQ5VSn0piqLblFLP1tcvhHhLkiTfiOP4c0KIQ7IsWxVF0Y+TJHndfIzXrl37kJmZmfVENEVEd+pxFUJEUspXeBcXOgQBEGBBoMp30HsD0F2/VKPRONL0tLGvQbO9idPb4HU6nWaep5195YN+QAAEQMCFQP8eRAjxKiHERVXff/StKXp/oa9X7zl+SEQPI6LH6t/det8xPj6+YWZm5uNCCP0GybhS6ntpmv6l3gv0DKx2u31NFEVfI6LtSim9H/tyt73PSynPdGGJWBDISwAGVl5yOK9UAvrHcaPROEL/qI/j+O+zLPvi9PT0v51wwgnjO3fu/B8iereU8l90nFLqXP1q3urVqx/eaDSuVUo9Xil1WO8ppVar9VKl1PNXrlz5oquuuqrdarWeo5R6n5Ty2Gaz+RUi2pqm6TvWrFnzsHa7/d9E9ClXA2vlypVLli5dqo2wMSnlH3cNrJullC/v3gG57w5GHMc7hBCPS5IkaTabT9b/W0p5Xj/wiYmJ1VEUfZOITpZS7piamnpEp9P5WZZl+umu1To3pdTLoij6glLqxWmaXt1sNp8lhDhbSnlit8+/FkJ8O0mSn8wysNNq5eAAAAtASURBVD6rlJqRUurXGoU2o4hor7670r3uXVLKZx9zzDFHjY2N3aSUenOaph9vNpsvFkJos+34roG1KkmSU3TbrVbrJUqpF8zDWC+At0sp33TMMcccPDY29iNtQiZJ8spSRYbOQQAEgiVQ5TvoGvpxxx334L17925TSv1SCPGFJEkuqMJgOBhY+55+1gYWngiuwsjhGkAABIoi0Hu6Su8Vqrj/6BpQv+vm23uF8MVSys1xHB/wxNSs/dQVSqlPpmn6z6eccsrY9u3b9VskV0spP6wNrCzLXhNF0du7/+3ds/cvRfFFOyBgIgADy0QIxytJoH/zoSfZbdu2Pb3RaKzJsiwWQjyXiM7QT1rpuIULFx6yYcOGfRN5HMf/pO86ZFm2ofejOo5jffdgHRH1JnsdetjChQuPvffee7VBc2Kappv0f2w2m5cIIX5jY2D1LSD6qa4xIcTPx8fH37Fx48bbu0bQF6SU+skjfV39BpZ++ukFRPSvQoh/73Q635j9/ZNWq/U6pZTe0NysTabuID2IiN6QZdndXXNLv/P+Ff1Ulz6unybT5lAURTuUUlcQ0eVSyv+cPcBxHP8my7InTk9P39DN+feFEN+RUh7efbLs82maalNLX/dMlmWT09PTW5rN5johhO7vqK6B9askSc7uxg1ifKNS6rE9xnEcnyGEOA4GViVLDxcFArUnUPU76N159yz9pDER/Q0RfWBsbOyoG264YW93PtXfUbyaiI7VTxULIfQrIPrO9wFP7XZvPugnbPXTtPqJ2Z8IIa4QQrxCKaVvdLwvSZJPElEjjuMPEtFTiahNRJtmZmbefOONN94y6ClkfVNnwN36fd+fhIFV+3JBAiAAArMI9PYghx9++K1V3H/M/oRJ/+XPZWDpuXrnzp13LF26dCcR6YcAevuKRV2z6i+0gaWfytJPm2VZNjE9PX0XDCyURlkEYGCVRR79DkWg/45Bq9XSHxTcnGXZ5VEUXU9Ef6eU0h8r/LyOa7fbD966deudusNWq/XVLMv+TSmV9D2B9VUi+lGSJB/tXpRotVqH6+9mxXF8R5Zlf9gzc1qt1keVUrfZGFiDFpDZrxjOXlBWr149EUWRfvrqOd13y4/vvs637xLjOH4jET1JSvn8HshWq7UySZJbJiYm/o9+bZCI9EcZv5Fl2cv102k6rmv2PS6KoicQ0cuUUpekaaq/zXXfvziOb+kaWPqRYpqcnDwhy7LvSikPneO6Z9rt9uqtW7fePNvAIqJUSvm+HvcBjH+bZdkp09PT+/prtVpvJqLfg4E1VIngZBAAgQEEqnwHvfvk6zQRXbx37971CxYs2CaEeHuSJJ/tM7D06xr6xodeD+Z8ard7I+GRS5cuPXFmZmbBnj179B89uVS/5jE5OfmHWZb9q5TyQd3159ErV658Xvcp5Av0jRsp5VMGPYUcx/Ggu/UwsFCBIAACQRLorR9EpPcPtdp/zGdgEdFO/WH3LMse3DOnjj766ActXLiwkyTJzq6BpW+wryWiJVJKfYPlgBvwQQ42kqokARhYlRwWXJSJQBzHe9vt9oT+ZtLY2NjtMzMzK/Xd4u43n36klDpdPyXU/YbI26SUH5mammp2Op2fKqXWKaUe3mdgvUop9aa9e/eefNNNN90Rx7H+/tSrpJRr4zj+ov4mVpqmb5mcnNTfdPoFEf39qAysXbt2vWXp0qVpp9M5ecuWLdOTk5NHZ1m2edGiRYfob1D1uMRxPElEP4ui6KTNmzdviOP4MUKI73c6nVbvFUL9gfru65CfiqLouE6n80dCiJdJKZ/ZfZ/9vXrt6S1CfW3/PRHdK6V8rf7mVxzHn9F36KWUfz6EgTUv41ar9dksy+7SjB/5yEcetGfPnu8rpTakafoqkw5wHARAAATyEKj4HXT9uvcXhRBH6I1Dq9X6YJZlT0vT9LiegaWUOi1N03/v/v85n9rtPoGlX1XvGV0pEb1WSvkf3Sertkspx+M41uviBWmaXq7b05uWBQsW7Ni9e/eyJUuW/Gaup5B37dr1IcPdehhYeYSJc0AABCpPQO9Buk+2XjszM3N4nfYf8xlY3Zv2+o+G/CBJknOOPPLIxUuWLLlSCPEvSZJc1PsGlv59rpS6Tn+SJEmSLzSbzXdHUbQaN50rL9ugLhAGVlDDySeZOI7/kYj+QAjxf5VS2pD5CyL6rb6DIIS4Wyl1vZTyXd27JB9RSj1JmzBCiHP1R8bn+Ij72bqt7kfTb2s0Gq/RH3Hv+8D4pFLqFiGE/rOz15oMrDiOr1RKre//K4T9ozP7eP+C0mw2/0wI8W4hxL1KKb0J+GiSJJfNHt1Wq6VfldQfcW90j71LSvmvs3PTBpFS6kHLli170a5du/TTaY8lol1EdIcQ4tVJkujHgu/71928XKyU0nz148I/a7fbb9FPsc1x3fuMRNMTWLrxZrM5J+Nuf58iojVEdJd+wk0IoTddp/NRNDIFARDwSaDKd9D1B+aJ6AQi2tZlslDfbIii6FmbN2/+3lx/DWqup3a7Nx/uexI2juNUKfWqNE1/OMvA+rlS6ryegdW9WXProkWLlu/Zs2d7lmWPnf0UshBCrxGD7tbDwPIpaPQFAiDgjUAcx/ov/OlXs5Pub9fK7D+6nyjRH2Hv/yyKZvNf+lu2cxhY9/219omJiSOjKPq4vhHefV1QP6Wr/8iV/oj71iiKXrp58+afTk5OnpJl2dfa7bb+Q1EroyjST6LpT43s+2QJ/oHAqAnAwBo1YbQPAiAwkED3e14bun9pUTSbza8LIb7V+z4Y8IEACIBA0QSqegddG1GNRmOT/qajvonSy7vVauk/yHGolPKP+g2s7h8ImfOp3T179vxt/6vccxhYv5ZSjnU3NCfov+qrv7PVarUuVErpPxDy+EFPIcdxPOhuPQysokWL9kAABEAABEAABO77SBtQgAAIOBDoPgEWzzpl31/6EEK8LUmSKx2aYx0ax/Hjiegj+gm57p8iviJNU/1B4ow1GCQPAiAwMgJVvYMex/GHieiY/u8bagjd18Y3NBqN4zudzjd7d8L1sfme2u2+QnjfE1jNZlMS0amzn8Bas2bNWLvd/uvuR9yj7lMFb5RS/mrQU8jdv+yrX1+c6249/grhyNSLhkEABLgSwP6D68gj734CeAILegABEAABEAABEAABEAABEAABEAABEAABEKg0ARhYlR4eXBwIgAAIgAAIgEBIBHAHPaTRRC4gAAIgAAIgAAI+CcDA8kkbfYEACIAACIAACIAACIAACIAACIAACIAACDgTgIHljAwngAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAI+CQAA8snbfQFAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiDgTAAGljMynAACIAACIAACIAACIAACIAACIAACIAACIOCTAAwsn7TRFwiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAgDMBGFjOyHACCIAACIAACIAACIAACIAACIAACIAACICATwIwsHzSRl8gAAIgAAIgAAIgAAIgAAIgAAIgAAIgAALOBGBgOSPDCSAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAj4JwMDySRt9gQAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIOBOAgeWMDCeAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAj4JAADyydt9AUCIAACIAACIAACIAACIAACIAACIAACIOBMAAaWMzKcAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIg4JMADCyftNEXCIAACIAACIAACIAACIAACIAACIAACICAMwEYWM7IcAIIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgIBPAv8f/sOREGeqcMoAAAAASUVORK5CYII=\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Prepare keep\n",
    "keep = np.logical_or.reduce((\n",
    "    octavia_bensin,\n",
    "    avensis_bensin,\n",
    "    # fabia_bensin,\n",
    "    # auris_bensin,\n",
    "))\n",
    "keep = np.logical_and(keep, stasjonsvogn)\n",
    "\n",
    "# Add noise to Årsmodell for visual purposes\n",
    "mf2['tabled_Årsmodell'] += np.random.uniform(size=mf2['tabled_Årsmodell'].shape)*0.25-0.125\n",
    "\n",
    "g = sns.pairplot(mf2[keep], hue='title', vars=columns, size=5)\n",
    "sns.plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.plt.figure()\n",
    "sns.regplot('tabled_Årsmodell', 'tabled_Pris eks omreg', data=mf2[np.logical_and(stasjonsvogn, octavia_bensin)], fit_reg=False)\n",
    "sns.regplot('tabled_Årsmodell', 'tabled_Pris eks omreg', data=mf2[np.logical_and(stasjonsvogn, avensis_bensin)], fit_reg=False)\n",
    "sns.regplot('tabled_Årsmodell', 'tabled_Pris eks omreg', data=mf2[np.logical_and(stasjonsvogn, fabia_bensin)], fit_reg=False)\n",
    "sns.regplot('tabled_Årsmodell', 'tabled_Pris eks omreg', data=mf2[np.logical_and(stasjonsvogn, auris_bensin)], fit_reg=False)\n",
    "sns.regplot('tabled_Årsmodell', 'tabled_Pris eks omreg', data=mf2[np.logical_and(stasjonsvogn, auris_hybrid)], fit_reg=False)\n",
    "sns.plt.legend(['octavia', 'avensis', 'fabia', 'auris', 'auris hybrid'], loc=2)\n",
    "sns.plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "midrange_hk_bensin = np.logical_and.reduce((120 < mf2['tabled_Effekt'], mf2['tabled_Effekt'] < 160, bensin))\n",
    "midrange_hk_diesel = np.logical_and.reduce((100 < mf2['tabled_Effekt'], mf2['tabled_Effekt'] < 160, diesel))\n",
    "midrange_hk = np.logical_or(midrange_hk_bensin, midrange_hk_diesel)\n",
    "newer_car = mf2['tabled_Årsmodell'] > 2012"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "keep = np.logical_and.reduce((stasjonsvogn, octavia, midrange_hk, newer_car))\n",
    "\n",
    "#sns.plt.figure()\n",
    "# sns.regplot('tabled_Årsmodell', 'tabled_Pris eks omreg', data=mf2[keep], fit_reg=False)\n",
    "g = sns.pairplot(mf2[keep], hue='tabled_Årsmodell', vars=['tabled_Km.stand', 'tabled_Pris eks omreg'], size=5)\n",
    "sns.plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}