opt_ball_manifold.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3次元球面上の最適化 (多様体上での最適化)\n",
    "$\\mathrm{argmin}_{\\bf x \\in \\mathbb{R}^3} - x[2]$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import pylab as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import numpy as np\n",
    "\n",
    "import torch\n",
    "from torch.autograd import Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "lr = 0.01\n",
    "nb_epoch = 1000\n",
    "γ = 1\n",
    "\n",
    "init_x = np.random.randn(3)\n",
    "init_x /= np.linalg.norm(init_x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def grad_f(x, df):\n",
    "    return torch.matmul(torch.eye(3) - torch.ger(x,x), df)\n",
    "\n",
    "def R(x,η):\n",
    "    return (x+η)/torch.norm(x+η)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "hist_manifold = []\n",
    "x = Variable(torch.from_numpy(init_x.copy()).float(), requires_grad=True)\n",
    "for i in range(nb_epoch):\n",
    "    hist_manifold.append(x.data.numpy().copy())\n",
    "    loss = - x[2]\n",
    "    loss.backward()\n",
    "    g = grad_f(x.data, x.grad.data)\n",
    "    x.data = R(x.data, -g * lr)\n",
    "    x.grad.data.zero_()\n",
    "hist_manifold = np.array(hist_manifold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  1.41364734e-04,  -1.10691749e-04,   1.01104447e+00])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_penalty = []\n",
    "x = Variable(torch.from_numpy(init_x.copy()), requires_grad=True)\n",
    "for i in range(nb_epoch):\n",
    "    hist_penalty.append(x.data.numpy().copy())\n",
    "    loss = - x[2] + torch.abs(1-torch.dot(x,x)) * γ\n",
    "    loss.backward()\n",
    "    x.data -=  x.grad.data * lr\n",
    "    x.grad.data.zero_()\n",
    "hist_penalty = np.array(hist_penalty)\n",
    "hist_penalty[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
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       "    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",
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       "\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",
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       "    var fig = this;\n",
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       "    this.waiting = false;\n",
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       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
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       "            fig.send_message(\"refresh\", {});\n",
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       "\n",
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       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
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       "\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",
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       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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FIw4gXLNzY4AVu2xO4Dg37PPPluH2rx5s7oYrVu3rqwQ2L59u16DvftQfA1f/epX5XOf+5zGI2B3AEHKc21u5pnBwuaU6RpkzszTHhQCnuLkYCRAAiRAAgEj4MZAnE9InFmDkMazqalJjX743SOVaGdnp3zpS19SF6H3vve9mtkHKUNffPFFufXWW+Xmm2+WVCrlyjVofHxc3YFaWlrkqquuEqQG/dSnPiUTExO6gl9uRwAuRdh1gJEPl6JEIiGHHXaYxONWYHRPT48GNGN8uAo5057Odi7czDOFgDldCgFzZp72oBDwFCcHIwESIAESCBgBNwbifEJi1xG49tprtY7Axo0btY4A0nzC8LbbT37yE00jCmM9FovJfvvtJ+ecc47690ejUVdCAGMhqBfZiCA04GoEgYHUoQgULicE0A/uRBABECAw+FFHYNWqVZPXd+aZZ2ogMlKVetHczDOFgDlpCgFzZp72oBDwFCcHIwESIAESCBgBNwbifEJiCwHbCJ9P125fK9KIwnUI8QEf/OAHPbkFN/NMIWCOmkLAnJmnPSgEPMXJwUiABEiABAJGwI2BOJ+QzGchMDg4KE8//bR885vflFtuuUXrDcDtyIvmZp4pBMxJUwiYM/O0B4WApzg5GAmQAAmQQMAIuDEQ5xOS+SwEkN4UGYfgYoSA4Te96U2eoXczzxQC5rgpBMyZedqDQsBTnByMBEiABEggYATcGIgBQ7Igb9fNPFMImE89hYA5M097UAh4ipODkQAJkAAJBIyAGwMxYEgW5O26mWcKAfOppxAwZ+ZpDwoBT3FyMBIgARIggYARcGMgBgzJgrxdN/NMIWA+9RQC5sw87UEh4ClODkYCJEACJBAwAm4MxIAhWZC362aeKQTMp55CwJyZpz0oBDzFycFIgARIgAQCRsCNgRgwJAvydt3MM4WA+dRTCJgz87QHhYCnODkYCZAACZBAwAi4MRADhmRB3q6beaYQMJ96CgFzZp72oBDwFCcHIwESIAESCBgBNwZiwJAsyNt1M88UAuZTTyFgzszTHhQCnuLkYCRAAiRAAgEj4MZADBiSBXm7buaZQsB86ikEzJl52oNCwFOcHIwESIAESCBgBNwYiAFDMufbPfnkk6Wurk5uu+22ybF+9KMfyac+9SmtFnzwwQfLY4895uo8pcYq1bGpqUne//73y6c//emS47qZZwoBV1My5SAKAXNmnvagEPAUJwcjARIgARIIGAE3BmLAkMz5dp9++mmJRCKyfv16HWtoaEja2trkn//5n+Vd73qXNDQ0yKGHHurqPBQCrjBV7SAKgaqht05MIVDlCeDpSYAESIAE5jUBCgH/p+/JJ59Uw/+uu+6SU0891eiEFAJGuCp+MIVAxZFPPSGFQJUngKcnARIgARKY1wQWmhC48MIL5ZFHHpHrrrtOLr30UtmwYYO8+tWvlptuuklX4v/P//k/8pvf/Eba29vl6quvlgsuuEDn71e/+pX2efzxx2VsbEwOPPBAufLKK+Wss86anN/vfe978o53vEMeffRR+fjHPy733nuvLFmyRD75yU/K2972tsnjnMY7XHUwjrPBRQiv9/T0yIc+9CH55S9/KcPDw3LEEUfINddcIyeeeGLJsewXb731VvnIRz6ibkaHHXaYXH/99XL66afTNagK70QKgSpAd56SQqDKE8DTkwAJkAAJzGsC5YRAOpuW7cPbq3pvS2qXSCwSM7oGCAH45i9dulSN9VgsJu9973tl5cqVkkql1Mg+9thj5cYbb5RbbrlFXnjhBf3bN77xDcnlcurOEw6H5fbbb1dh8Pvf/15g2KPZQgAi4d3vfrcccsghOs7PfvYzeeqpp1Q8oDmFwNatW+UPf/iDCgUY7EceeaQsW7ZMFi9eLMcff7y8+OKLavx3dnbK1772NbnnnnvkgQcekKOOOmqfsfACYguOPvpoOfvss+Wiiy6STZs2yRe/+EXZuXOnigPGCBg9LnM+mEJgzgjnNgCFwNz4sTcJkAAJkECwCZQTApsHNss5t5xTVTi3vek2Wdmw0ugaIAS+//3vyxNPPKFBuWgw8i+55BI1lGF0o/X19anf/pe+9CV53/veN+UcEAT4ecMb3iCtra2CQF+nEIBB/573vEdfw0p+R0eHfOxjH5NPfOITZY13rPZDENiiArsA5557ru5OnHnmmdovnU7L2rVr1dC/+eabS471T//0T/LQQw/pTgfiENC++93vyjvf+U4NRqYQMHpc5nwwhcCcEc5tAAqBufFjbxIgARIggWATWIhC4M477xSsxNvtd7/7nRrbd9xxh5x22mmTr8Ot581vfrOuqOP4yy+/XNB3x44diEHU47AyD1cjpxCAEQ6D3W4HHXSQ7jTccMMNroXAhz/8YfnOd74j/f39Ux7AD3zgAyo8du3aVXKs1atXyxvf+Eb56le/OtlvYGBAGhsbKQSq8FamEKgCdOcpKQSqPAE8PQmQAAmQwLwmsBBdg2C4I0DXbnfffbeccsop8vDDD+tqu91WrVol55xzjrrk4HUY5XAngpFfW1srV1xxhWzZsmVyLNs1qKurS3cT7Hb44YcLfvB3tOIAX7jzFO8IIHsQ3IAgKpwNOxaIOcDuQKmxksmk/h2ixdlqamroGlSFdyKFQBWgUwhUGTpPTwIkQAIksGAILNRgYRMhgBgCxAb84he/UHcdu0E8wOi3x/JSCFx22WXy7W9/mzsC8/ydRCFQ5QnkjkCVJ4CnJwESIAESmNcEKATO0cBfrOj/+te/1iBctM2bN8v+++8v69at80UI2DECv/3tb+WMM87Qc2YyGd2NgDtSuRgBZDnCzgZjBF4ZbzsKgSrPA4VAlSeApycBEiABEpjXBCgEztGAYRjgLS0tctVVV2kBMATeTkxMqIuQHzsC2WxWswYh64+dNejrX/+6BhRPlzXor3/9qxxzzDEqWBCwjKxDzBpUvbcghUD12OuZKQSqPAE8PQmQAAmQwLwmQCFwjmYVwir7xRdfrNmGli9frhmAkDrUGW/gpWsQHpru7u4pdQSQWvTzn/+8nHTSSZPPVKmCYkh7+tGPflR3LZDCFFmMEAz9/ve/n1mDKvxupBCoMPDi01EIVHkCeHoSIAESIIF5TWChCYF5PRk+XrybeQ6FQrRrDeeAwAyBeX04hYDXRDkeCZAACZBAkAi4MRCDxGOh3qubeaYQMJ99CgFzZp72oBDwFCcHIwESIAESCBgBNwZiwJAsyNt1M88UAuZTTyFgzszTHhQCnuLkYCRAAiRAAgEj4MZADBiSBXm7buaZQsB86ikEzJl52oNCwFOcHIwESIAESCBgBNwYiAFDsiBv1808UwiYTz2FgDkzT3tQCHiKk4ORAAmQAAkEjIAbAzFgSBbk7bqZZwoB86mnEDBn5mkPCgFPcXIwEiABEiCBgBHYsmWLpNNpWbNmjTBpzMKd/I0bN0o8HtfUqOUahYD5/FMImDPztAeFgKc4ORgJkAAJkEDACPT09MiuXbuktbVV2traJBwOB4zAwr9d1CvYvXu3zm97ezuFgIdTTiHgIczZDEUhMBtq7EMCJEACJEACFoFcLifbt2+XwcFBFQGxWIxiYAE9HKhgjArJ9fX1snTp0ml3fbgjYD7xFALmzDztQSHgKU4ORgIkQAIkEFACw8PDMjAwoG5CEAdsC4NAJBKRZDKpuwEzuX5RCJjPOYWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCZAACZAACZBAQAlQCJhPPIWAOTNPe1AIeIqTg5EACZAACZAACQSUAIWA+cRTCJgz87QHhYCnODkYCQSeQD6fVwa5XE7wu/2D/45EIhIKWR/75f51/i3wMAmABEhgXhGgEDCfLgoBc2ae9qAQ8BQnByOBBUvAadQ7jXvn78XGvy0K7H9jsZiKAbvZYqDUf+Nv9k/x3ykiFuxjxhsjgXlNgELAfPooBMyZedqDQsBTnByMBOYdgWIDv9RKvv0a/kXLZrOyYcMGWbFihSSTyX0M+3KGejweL8vHFgvOA+zXnnrqKUmlUrJ69eqyIgJ/cJ7XrYgo7jfvJpAXTAIk8IohQCFgPhUUAubMPO1BIeApTg5GAq8YAsVuOaX+G4a9beTjwu1jim+i2LDHcffee68cffTRUl9fP2mAz3Tz2BEo3gWYqQ/+/uijj0ptba2sW7eu5OHTiYhSHUpdg/1aOp2WcDgszmt1swMxm/tyc+88hgRIYP4QoBAwnysKAXNmnvagEPAUJwcjAV8JOF1tSq3c4+9O435wcFCGh4elo6NDjfzpDPzpjN3ifjjH3XffrUKgoaHB9T3PVQisX7/e9bmKDyx1/7b4cR7717/+VUXH/vvvX/Jc04mI4h0JDFDMdabXZn2D7EgCJFB1AhQC5lNAIWDOzNMeFAKe4uRgJDArAtMF2NrGvfNf58r9dAb+9u3bZefOnWqwlzJIZ3WxhUDg+SYE3Ctw61gAACAASURBVN6rvftQLDrc7jqUExxOAWBfy/j4uAq11tbWfdyaZhIMTkHC3Qi3s8vjSMBfAhQC5nwpBMyZedqDQsBTnByMBKYQcBNgC1eUoaEhqaur077FAbbOAZ1+725W8Ldu3SoQA69+9as9nZn5uCPgFkA5IeC2f6njyomI3bt3y9NPPy0nn3zylLkvd65ywdXT7USUEhQUEXOZTfYlgfIEKATMnw4KAXNmnvagEPAUJwcLCIHp/O+L3XPsANtyBj5WhGF8vva1r502veZs0FIImFPzQwiUu4pdu3YJAqFPPfXUshfqxU6ELQa6u7s10BuuYsVioJTIpIgwf37YI9gEKATM559CwJyZpz0oBDzFycHmOYFSaTGLX5ttgG05Qwu7AQ899JCcdNJJU1JreoGSQsCc4itNCJjfwd4exSLimWeeEbgjvepVr5oy7HTuTE4xYHeiiJjLrLDvQiZAIWA+uxQC5sw87UEh4ClODvYKJFDO/77Uyn2x773dd8+ePfLSSy/t42vvxj1nJiS2EDjxxBMlGo3OdLjR3ykEjHDpwZUUAojfgGvQdDsC5ndQvgfONTExIYcffviMw7rdicBA5YRET0+P9Pf3y5o1a6acj2leZ8TPA+YpAQoB84mjEDBn5mkPCgFPcXKwChIo5X9fKrC2OLtOOcNlOj/rrq4uef7559V9x+vmpxDYtm2bQAy85jWv8fSyGSPgDU4IAazSn3LKKd4MOMMoJkJgLhdkC4PNmzdrjMpxxx2nw00nLvD+K/77TBmaWCtiLrPEvn4QoBAwp0ohYM7M0x4UAp7i5GAeEHATYFtc4Ap9Nm7cKG1tbfukszQNsC11CwjqpBDYS6acEMDrCH6G+4n9gxVo+3f8HSlE3fxgdwT5/NEquUpfyXMtVCFgPynYRYMQOP74411/MrhN81pOWDzxxBOyfPlyaW5u3uecbtK7uk336vqGeGCgCFAImE83hYA5M097UAh4ipODTUPAbYBtcYGrUl/4pVxy/vSnP6kLQmdn56yKVk03eUEXApg7p4E/Njamwqi9vV1XcZ1Gv80Rxj4qCScSCf3B7/jJZDI6VqkfBLI6G8QAxsGx+L2pqUn/tce2fy8WFpFIZNbPwEIXAmBZHCPg1wcXhMCOHTsmdwT8Oo89Lp7FP/zhD3LQQQfp54Dz9eJzm6R5Rd9SnzmmheaY5tXvJ6D641MImM8BhYA5M097UAh4ijOQg80UYGsH1/b29qpBmEwmXVewLRdgWwr0Aw88oEJg0aJFns8DXIOeffZZed3rXuf52Mga9Oc//1nHhkHrZZvJNQhzB8Mchrxz5d75u/0323CCkY15HBkZkZaWFk17ahv7ToMfxxW3mQqK4VnB9eD8MFht0fDiiy+qAGhsbCwrIpyGHZ4bN7sO9jEYGyIF/6KgGO5pLsXL3M5hNXYEKikENm3apHUsbNcgt1zmctzvf/97Ofjgg6cIAbfjuY2LKD4Owf54XvB8zuTOZIsKigi3szK/jqMQMJ8vCgFzZp72oBDwFOeCGaxcgK3TJcfpj28f7wy2dcLAl94jjzwiS5cu1Z9SK2xzhUchMJUgjOiXX35ZV2QhkIqNe9vAt9Obwg3HNuSLDXvnqj6MZXvl9ZVSWRjXg92EcjsNzteLdyTw38XPKkRMTU2NkZiYzS5EpYUAUpXifiu1IzDfhMBsP4N++9vfaiIBCGNncyssip+/cv9tL4y4cV9irYjZzubc+lEImPOjEDBn5mkPCgFPcb7iBzPxv3ceixsr9aVm4n+PVe9ly5ZNCgGvYT344IOyatUqWbx4sddDyytpRwAGr23UlzPuYeQ73Wychn05Yx8GvlvXBVsIHHXUUboK6rbNtCNQbhw/3XXsXQhbLCCgFowQb1JOWNi7FuV2IewdBtxvOfcl/A27ZBs2bKhY1iAIATwXhx12mNspm9NxEAKolXDsscfOaRyTznfddZcceuihWiuhUg1C4JhjjtlHCLg9v1vB4DwOrnkQ72vXrp08TbmCc/bCC2tFuJ2R2R9HIWDOjkLAnJmnPSgEPMVZtcGKDfziTDnO3PelClzBPQVBdqhAa7t0lNu6dmssFsPA9vmSJUtUDPjR/BQCSB+K7C5+ugadcMIJKramM+5h4DtXsJ0++MUGPv4GQxPBml4bYgtJCBQ/i3/5y19cuQbZuxD2DgPmbbr4h+JdCed58Z5z68rkjJEw3YWgEPDjk0fkN7/5jWbmKhWg7M8ZRR5//HF9Zg488MB9TuFWWDgzNVFEeDNTFALmHCkEzJl52oNCwFOcng82XYCt002nOMC23Oq9vTLkXCHC74ODg+q640dRKxuK30IAwcIrV670ZUcAQgArxcj1b9qKA22Ls+mMjo6qv72z4Qve6Y5T6nccY2fVKXdNEAFbtmyhEDCYNLdCwGDIkoYahAHmB9musEJvC4VSMRJOEWELefs9PN2OQ7G4QDpPPI9wDZrp2ZnL/dl9EduBQHuvheh013bnnXcqz0ruCFRDCDz22GMa14LA6Nm2cgHT0wkJ7OyuXr16Ct+Z4iJKpXnFa6XiiGZ7L6+UfhQC5jNBIWDOzNMeFAKe4nQ9WLkA21LGPY6FMYcMLTAIi5ubbBYzXZif1W3tcz/88MMayIvUfn40CIEVK1boroPXrZQQcAbalkqV6XTfsb9YYbQVr9xj/pBdBcZLbW2t/t0rI41CwPxJgBCor6+XdevWmXc27IH4jeeee05OPvlk1z3dxkKUiotwnsS5C+EMlp5pZ8LEhQxCAG51XtexmEkIQOjg87ISDe9tuAZB7CCrVaUahAA+K0rtCPh5DcjKhHM6szI5zzediHDuQNjPnJ/XWo2xKQTMqVMImDPztAeFgHc4ZxNg6wyync7Av/fee3UVz956nq17Trm79bOo1XwUAnYmHTugFhVS4esM48Jp9BcH2pZauXca/qVWwLAbABGDYmVY4fOyUQiY03ylCwHzO7J64LMG7n94tvfbbz9XgdW2mHDuQmAsN2IBzzJEACoLH3nkkdqnEivAd9xxh1ZOXuhCANmtkIGtWkJgLtnZIGYpBGb7Tl54/SgEqjynFAIzT8BMAbb4UHP63Tsz58w1wNa+OqzC4MvNLx9UO4UlXF/wAe1Hg+sRVpH82hFwE4yMuZouVaa9im8H2kJw2Sv0MNgR31DK2Df11XbypRCY+WnzM1i4+OwLVQjgPp988kkVBAimNWnFuxAzuS85dyOc58FO10wiotTfTXYhIASOOOIIDfauRMNn/+9+9ztNkWoSOD/Xa4MQQGarAw44YK5DGfWfS3pW+0QUAkbIF/zBFAJVnmIKAWsC4P+Nbd3W1tbJHPczBdii38DAgAZtIYjUJIOO6bTffffd6jpSnJ7OdJxyx/uZy94+J4QA/HbhvuN1w1xBCGAVsKGhYZ+AW9vAtwNtMVd2gatyqTLxum2AdHd3qxGFGAqv23wUAmAAg2AhZA2iEPD6id473gsvvCBwq3PGQMyU4tUOuC4uLues+TCdmMDnMVbJ8VlQiV2IagmBSopj5xPiRVYmzK09h/49fdUZma5B5twpBMyZedqDQsDCiRWkCy64QP71X/91Ct+Z/O8hBGDgwsfXK7/uUhPstxCwjVE/ilrNRQg4s+iUKnJlu+nAuLCbM9C2XKpMiAAT9yo/hQCChZHxCFmDSsWAzOUNDx90BIj6EaxJITCXmbH6ziZGYC5nne2OwGzPiUBovHeQjcy0wcCeSTSU+7vzXOV2IdykeHXzGQGjFrsQxx9/vC5CVKpRCFSKtNl5KATMeOFoCgFzZp72oBCwcGJl8/zzz5eLL77YyECslBC455575JBDDtEdCz+an6vS9vXC5QLb9cjsY2fSmc64t1147P52oG054x7pPVGszA/XI8QIwL/ajx0Bv4UAApH9qOxKITD3dyJiOJAP3iRYeC5nxTOMZuoaNNtzYkcA753ZCIHZnhOBu3CjRMB3cSammdK7Fu9CuMnIBLdA7ELYMVx2Ni83ImK294h+lXRhc14nsjLNNRibOwJzmfmF15dCoMpzSiFgTQCKwZx77rnyvve9z2hGkHYT2XD8TLuJC0Kw8MEHH+ybELCN0bkGrNq51e2VemdgLaqo2r70eN2On8BrbirazhRo6Gd6Uhgzf/vb33wx2CgEZn7LVXL1s5IGVjWEAAxULCpUokEIoJYFPl8r1ewqv7NZNHG7C+GMkbDFhvP+bNfDmQrKFbs4QXi43Vmu5HPqvDcvgrEpBCr1bpgf56EQqPI8UQhYEwDXibPPPlsuvfRSoxmpRLYdWwggX7RfAXBujFE70Ha6VJn4mzOTjrPgFbKHID0msk04A269Ck6mENj30YXriZ87AsgGY5Iy0dPKwvk8cuGIjA+J5DIiqRaj9265gytpYFEIeDJlUwaZa5Vf0yuCKMAqOVKkIouPqTuT212I4hSvSM0KVyRkgLJjIfzehQAbL4KxKQRMn7KFfTyFQJXnl0LAmgD4Z59++unywQ9+0GhGKiUE/vjHP2oAnB9CAIY7XJyw6rp+/Xo15Etl1ikOtJ0pVWZxpg+Mj2DnVatWGTF2e7CfdQr83BEYGxuTBx54wLcYgfkqBEKb75PIM7dK5tRPy4u//74c+NdPSW7xERLe8deSj0Ru+bGSfusv3T4uZY+rtBDYsGGDLy5npW4Qu1pYca7UjgDura+vr+I7AtiB8CuxQjFXGP4IoMVual1dnfHzV7wL4bZSNdwqnQ0iwCQjk1NYuN2FwPmQIQmutLPZcbGvl0LA+DFZ0B0oBKo8vRQC1gQgSBZ+updddpnRjFQi2w4uCEIAaeJMcmPbXzBONx2nT779e3GgLVa1nCv5xW47c1nVRfpTVKX0o/kpBODegAI+p5xyiueXbgsBBBuCvZftFbsjMNYvkmgQCRW+AoZ2SeLre1NaZg94o0SeNTfqxz+2e874KATmjHByAAgB7AQeffTR3g06w0iVrvI7VyEwWzDYAcVuHGKiZtqFKI6NsBd17HM7i8vNJCbwOWvHCMw2bTKFwGxnfWH2oxCo8rxSCFgTABEAQ+xjH/uY0YxUItsOLui+++7TSqdIv2kH2s7kouNcMbIz6TgNfOfvOAeyHyGoFLmp/WjIe40vLgqBqXT9FgKbNm3SZ9vrhmDh2bgGRZ67TWK3vNPry9HxKASmx1qNHYGFLgTwOYv3AhaT4PpYqQYhgFV5uAaZNiwSzRQ4XU5cOGvjlNuFmCnIGjsQWGDC99JCa8waZD6jFALmzDztQSFg4Tz11FM1s8Xll19uxNfLbDv4gLUr2hav3G/btk1Xi/EBjr/ZH8b29u5Mbjozbf1CVNx///3zWgj4Wadgvu4IIEAbvsTVEAKRrX+S1P873+j9NNeDKQRmFgJYxUXigUo0ZESC22GldgTwuYgYAfjr+1V8sZhbtYQA6qbAVXQ2QmC2c2/zRVYmiB7cu1tB4dyFgACAKy6FwGxnYmH1oxCo8nxSCFgTcNppp2ktgSuuuMJoRtwE2WJAO8tEqVV852vOQFuncY9c3PjQxwqQH4G2+EDHrgOCplOplBEDtwfDtQbBbWvWrHHbxeg4P4UA/Jyxo+GHa5CfIqwSQqAls0tCQzsklB4RCUWswN18Tmpuu8ho/qY7OCcig+GwDIZDMhwKywj+DYdlJBSSsXBYJkIih4xPyA/W3yk1sYiEQyKRSEja6xPSUZeQ+iSqZYf0/+ORsDTWRKU5FZe6RERikfCUlMGVdA2CwEdmHT/S0pbiiR2BSgsBZFaDT3klmm2o4nPMJIh9LteG9y8qv6Mqu1+fnaWuzy6g6NfnaalzzoWvvZNt7zQghoNCYC5P3sLpSyFQ5bmkELAm4Mwzz9RVsiuvvNJoRuwYAeTlxgddqbSZeM3ODIGt1GKf+2J/fPy92PcSq/Vr166Vzs5Oo+tze/BCEAIw4BBD4UflYggBBDtj58jrNl+FAIyfI151qCz7wbESyozNGgty/+yJhGVrNCpbY1H9d0c0KnsiEf3pjoSlJxKRjB1PUOZM7+vpk6t23aB/xaEQA/qviETDIYlHw5KKRyURDUkiGpZENCKJWERfa6mNydKmGlnTmpKBnZtkZXujHHnIAdrHzwYhgKJbMCIr0ZDvHruIldwRoBDwZ2b/9Kc/6feBX66Wpa7arqI8V6HFGAF/non5OiqFQJVnjkLAmoDXv/716oP/2c9+Vv/bdsEpLnhVnE3Hud05XYCtbfzPNtAWWWWw8oPUm340rNIgINnPHQEYIciq4ddWtrNgmdeMAi8Exvol9tRPRSJxa/V/bEB6XvqbtERGJN7znCvcWNXfHo3IC7G4bIjHJn9g+GNVfzYtnstLTT4n8Xxe3tE/KJ/c/e3JYcp9ueB1WyhALETDYcHpIRaikbDkMmmpiUWlub5GWuvisrIlJatb8XtSWmvjsrgxIZ31EOuzu2bnfVZDCOAzCKmIK9Gee+45QWa1Su0I2IYqYp0aGxsrcYuCGB9Ufseujl/xVaVupJpCYK58KQQq8mjOm5NQCFR5qoIqBLZu3apZYJDHGz833XSTuq3A5/9Nb3qTpnK0mx1oW6roFVb4YeD6aUDjOh588EFNu7l48WJfnhhbCMC31q+At/ksBBDwCKER1B2B+H3XSuLPXzd69roiYflbIiF/S8TliURCnk7E1Z1nupbK5WRZOiNLMhlpz2alNZuT1mxW2vT3rNTn8lKby0kqnxccWxxqeGbtT2UonZPRibxkc3lJ5/KSxZaDVXFA/6fwn5MJi1QYFC4K7+dcLiuhUFiikZBEwiGJFH5PxSPSWBOTxlRM3Y/a65OyujUlBy2ql0OW1ks8GjHig4MpBIyRTdshSEIA3wn4PvArHXMp0DDgUUcAMUf4vpxtoxCYLbmF2Y9CoMrz6rcQgP/rF7/4RcHqxZNPPqkpMPHvTA1uNtdee61885vflK6uLi0Z/5WvfEUNbmeDEX/JJZdobmMY7Oedd558+ctfnvFD6mtf+5p86lOfkiVLlsjSpUvl2Wef1R0BjI980MizbRv+0wXa2i41fmbbqYQQwM4Gqhf7KQTgnwyR4deOgJ91CmwhgBgBr4v2+OmWhRgBuJ44he20773MuEQ33C75+sUSefkBkeyEhHs2SmzDr2d6y8rWaEQeSiblzzVJeTSZkJ1R+OXv20L5vKzIZGT/ibSsnUjL6nRalmUyKgCacznZEF0v6zJ7dxmuaP4P+Uyvldb3P2NvkXelfyiPJ18tB40/JrH83lzq71n0E1nR3iT5fE5GMyJ9Y1kZHM9KOpuTbC4kw+mcjGdyKg4mMiKjmZzEIiGdz0w2LzktUIYQhwkJh60Kr+m8SM6hIHBMJBzWfrZbUUMyKh0NSTlp/zZZv6hOXYwgGNy0IAgBuE8iu1QlWjWEAOLE7rnnHs0853X63+mYVUMI2MXT8HlSX18/6ymlEJg1ugXZkUKgytPqtxC49dZb5d///d/VwEQGCXxQuxEC11xzjRrq+Pewww6T66+/Xqs3YhXfDo7CKrb9BXP11Vfrav6HPvQhzXF82223TUsWQsNp0EFAwN/yP/7jP4xmxE8jznkhEFLwfYdw8aPZQgCZk2ZTFMfNNUEIIJgOsQ5+NAqBfanu2rVLg1HdCoH4n74mifvdvQf6wyG5v6ZGDf8/J5OyLbav4R/O59XYP3R8Qg4bH5f1E2lZk05LTT4vdyf/Tr7fdJEsm3hJXjXxFzkw86zc1f5WGWhARpuc7BnJSfdwWg3y3v4+yUhUWhpqJRkNydpW1FuwDHcY/NsHMxoLcEBbwoKgMQIhyeZy0jeWk91DGckWDP3xTF7jeWJhkaF0XnICYZCX8YzoMSOj45LHLkA0KsloWOKFhf6JbF7wgx0G7DZkcnkJSUjdihBLsKghIW11SVnSVKM/By6qk2XNKelsSGhAcqlWaSGAz0+4MFbKNQgLLPhcrpQQ8GrF2uTzqVpCAO6iWMRauXKlyeXO6VgKgZnxMX3ozIyKj6AQMGfmaQ+/hQAMf3tF/cILL9Rc9TMJAfhcwii/+OKLBQY+GgxurNjDlx+7BGg//vGP5S1veYs888wzWhEXDTsDCPxFRgUYtW7b+eefr5Uov/SlL7ntosdVwqUG5/FbCOALFKtaFAKlp3++7gjMJATC3c9LrrZTYs/9UnJ1iyX1iwunff5fjkblD6kauTtVo6v+2aIA3mQuJ0eOjcsxY+PyqvFxOXh8Qh6Tw+XyyAekKTwiiyJDsiTSJzUyJo/Hj5ZYskYaE2HBqjpsZXwhjKZzsnMoYxnaIbjmiOSHe6UvE5W6unpZ0RST2vhew3poPCsvD6RVFxzQnij0CUk2b3325OAelMvLnpGs9I5m9O/pTE5G0jlJRMLq/tNZF5ZcPqSCYWvPoKTzUYlEo2r0q3uRGv0w+EMSDeE1a6cgVNgtgBiojWGnICyhcEiS0YjU1cRlUWONLGpMyn7ttbKmrVYWNyan7BbARRHpXSsVLFwNIQBDGRnZKtGqIQQgdLCbit1C7CJXqlVDCHhVPA3zBEEKsb3QGoWA+YxSCJgz87SH30LAebFuhQCKs/zd3/2dpmuES5DdLr30Uvn5z38uL730kr70tre9TbDKjC83u2GlD2k24S706U9/2jWrCy64QFfCr7vuOtd9KikEIGyWLVumK0B+NFsIHHPMMXPa8p3u2p544gndOt9///39uAV9XvwqWIZc6BCx2P6fqSaD6c35uas0nRCIbLlfUj+9YMbLfTEWldtra+WO2hrZGI9POT6Sz6vB/5rRcWnJrpSm7BKRrKgLDlKIjuWi8pPIG6Qv1mn526uRHNZV/VhE9L+xUF9YrFdXnqEJCABLFMDgb0iGZVfPgIznIlKbSsqi2qga2/aXB87VNZzRbYDF9XDpgXKw9gvsY7DSj/9OZ/PSN5qVsQz+K6/nwoo/BEFzDa4rIgP9fZKNRCUXTqo7EYSJfX3aTSwBAe+fcAgCwtp9wA4DkgzVRMOW+1HWEgwxZCtKRKW1NiFLm1PqOnTQknpZ11EnvV1WnYdKCgEYqwceeOCM8+7FAdgRqKQQ8GrF2uTeqyUEkEkOVYX9yJJW7v7tmglwn53LzjGFgMkTtvCPpRCo8hy/EoUAVvyxG4AvEKfP5Y033ij/9m//JvA5RXYGrF7DTegnP/nJFIpwg8AHZPHr06F+85vfrKs5iB0waZVwqcH1oIokRIBfQgA7N8h8QSFQevYXjBCAS1zfJslj9f8n50lk9xMlb3hHJCK316VUADybmGr812dz8trRUTl5ZFROGB2VxlxehqLN8tXVN8imobjsGs7KaMbyuU+pwW8Z/jVYTY+EBWvr+Bt892Gqq0mez8vAOFbprZV3GNSNNcjxD6M+L1v2DImEwtJcl5TGpOWrYxv62DnYPZzV19pThT74DwxkRwY7f82LjGVyej4Ig6GJnGYMSsVE2lJRGRkakASyBjU2qLtRPpST4fG89IxauwgQGrhqDF0Xs+5tPJuXUXUzsk6LsVprorqD0D2Sk7FsTsYRcBAKSTIWkcZUXN2GlqXy0pzpkvPOPNnkY2fWx2LRpJJCALu12OGt1I5ANYQAvo+QcQ2JBLDKXamGui8QAdUQAnOtokwhUKmnZH6ch0KgyvP0ShQCV111labxxBeIs/3sZz+Tf/iHf9BMG/CVx8oydg5uuMHKHW63c845R12J4Cbktr31rW/V3P3f+MY33HbR4yqxkm4LAdwzdgX8aLYQQAXQuWSDmO7a4BKGL0q4ePnR5uuOgJ/uZbt375YNGzbISc07JP7X/5Js+8ESf+JHJfGPhUJyZ6pGbq6vk0dq4IO/t7Vks3L68Ij+3NX4OYknG6R/11ap7VghkmqR3cM5eWEgpMYwDOR4JCRNibC0piLSUmMV+MLKOVJuws1G3WpCou4/CNTdOZSVwYmsrrzDsG6pCevvMKxhfG/uGtIg3WUtKRUHDvtex9g1ZAmBtlREEhAPYu02QHCoe5HuEuT1Oqz6AtaOQs8ozpuTwXErZqC1Jiy16T6pTSakpaVZV/qRPciOKRoYy8qW/rTsGc46riGvbkGpeEh3GCCCVIPkRWsWLK2PSEsqpjsLPWM5GRjLTIoGyWclmkvL6w5eJSeua5cjljeqWPKrLXQhYLuuzDWY1YR/NYUA4gOw6FWp5lXxNAqBSs3Y/DgPhUCV54lCwJqAt7/97WrUf+tb3zKakUoJgYcfflhTxfklBGDooEDUfBYCflYuRlEkzAFyhUMwetn8FgLPP/ecnLHpMxLpeqbkZT8fi6nxf1tdSgYc91aXy8nfDY/I64dH5NWjYzIerpfb2v9V/lp/kgbNbt26QxINTbJzNGy58xTWyeEaAzebmhhegTEOw9v+uyUArGOtnQAE82JFHS+gD2IG4PpjL/n3j2WlZ2BYYuGwLG+t03twCgGMsbOwIwBDHpWD0ewNgcl/4YakF7N3APTFjgCuAW5AOG08OyZttXBDqp3kpcKh8G2FYxBj0Due15gDvRvcU15UDEAUQAxg1wGuQ7jaWDgkixuisqguKslISIYzOdk5mJUdfaMyOjau7nh1yZgsb6mT161rkxPWtkhTjferyxDL2GWtlGsQdgRgPDpdPL187xSP5ZUPu8k1ok4CVuexKFXJSrnYhUAxMb++E0oxsGsmzLWKMoWAyRO28I+lEKjyHL8ShYCJaxBSUSJo2Nlm4xr0jne8Q7+wvv3tvQWJ3ExNJVbScR0wQlFMzK/VH1sIoPCPX4V4nnrqKf2i9GtHgELAWoYODe6QfF2HxB/4sgzkayW74S5Z1PvQlMcZ5uudtSn5QUO9/C25N8ARqT2PHx2T8waH5MeRa6UlnJHeWKdIOCoTstcwRZadbXv6ZCJSozn3rV0AkbaaiNQmwhIJ7V21h5GcV58Zy5kHuwII4MVqfe+o5Z6jbjbxkNQnwroKbxf9wm+7hjIyPDosddGQLGpx5C53oPR/ewAAIABJREFUfHtsQ7CwYEU/IjVY2rfMcz2HUzRM/nchhkDjEwq7DnuGM2rAT6QnpLMmLB2NKUu1OESF7jIUxAT+kkZWotGc9I5mJ+sVYEC4BMHgH4dLkLVZoSfCTgliHuCC1JgIyfjYiOzuG5GJRKPuGGDXA/UKWuuTcuzqNjlpfZusbtsrSNx8Jk13zEIXAl75sJtwrpYQQIAyXGOrIQTmWjyNQsDkCVv4x1IIVHmOX4lCwA4WhmGHVKB2++AHPyg333zzlGBhBKDiy81uMGjb29s1ZalJsPC73vUuwarvf/7nfxrNSCVW0nFBCFTt6Ojw1R8U3P0WAsgSYWd4MgLt4mA/C5bNlx2B+IPXSeKBL0o+0Sih8f59qA2EQ7r6/6OG+il5/jszGXnT4LD876EhWZrJyk1175S7av+XCotJQzoEVzjLlx85+HsGR9XVCzEAi+qj0lkbURccrJ5bFXvxL1J1Wv+NnwSc/wsG+taBtKbshIXcXhvVn+KGQOAXe9My0N8vy+rDsrSzreST8Pyecd15wHU02TEERSmC0RHXB9ek4ob38fBETv62a0x6B0fUID98Wb00JaPqnoQuKiIKdQWwY5HJ5DTTEAhNZLLSNZyTrpGM7m5g/wNjwk2pORmW4XRe4x8QtAzPpVQMOxchrYOQHR+TttYWFSHdwxkZwk6CZiiKSENNTA5c3CCnHdgpx61pnlXRMue94rMS8VWo51KJ9vTTT6ubZqV2BGwhMFcfdhM2+GxA4O5pp51W0Sw4EAJYCPMrbqwUA69SpVIImDxhC/9YCoEqz/ErUQjY6UOR+edzn/ucEsKWL1aSzz777H3Sh6KMvZ2JBrUGTj/9dOP0oQhC7unpke9+97tGM1KJlfRKCgHk+0bmHT8adgTmqxDAqh8Ctv1wDfIq4Dw0sF1qv3eyhNIj+0zf9mhEbmpokFvqa2XUUd332NFReWv/oPwi9AlpioekO7lSIrGkSCSuzjtWph+RaCikGX26R3OChEDwrR8ZHpTW+pQc0JmShqQVB6De8bZ4UEMcuwXWsrvuBxR2Cjb3pS2DOS/SWRuVllRpdyucB2k/+/r6ZE1DWNraSwuBF7onNFagoy6qMQl2w86EXT8Ar+kXjnWJJRtSkd63sUdC4Yg01iZlfVtCmmsikzsU1j6DNYadt8jKIGplIcJuwe7hjMYR9I8XgqGRySwVkoZERIOaIQhg9EMM5DJpSU+MSWdLY0EkWTUOwBkuUWCNTQmIgpbauJy4f7ucdmCHrGxJSY1d4MDgzVoNIYDPbueCjsHlGh8aJCGAdM/43vOrtkwp+HaGpLkWT6MQMH60F3QHCoEqT6/fQgAfHL/+tVWVFEXBUOUUlX/RYFRh9R6+lZs3b9bCR3ZDITGs6KO68KGHHqrGP4J/SxUUg3HhLCiGAmQzFRQrxn7RRRcJAiu/973vGc8IVtL9NKBxQX/5y180LaqfxWMQI4CVu+bmZmMGbjpgdRCpN/1ajfRzR8AWAvCN9Tr39VyEQHjXk5K450pJH3yBxB+6XiI9G6ZMxcvRiPzfpka5ta5WMgU3l3guL28YHlYBsC6dlqdqj5VbVn5C+2F1fwLWp6MhHgB5/REIjHSY8IuvT0RktL9H1i9ulJaG1OTRlksPXHKmjgEVAKEg4YhsH0zL4ERe/fUXN8SkpbCCbxvX1nq6ZW2/PDChPvwTQ32ytC4ibe3te6149TlSK1w29k4ICoW1p6LSXhedPCYaDqtAULekfCE4oFgIFNIPWeIgL0+9tFO2j8clEkuoqNivJS51jroFxc+6HQCt0QCOHRS4NG3omZB0wTUImyHLGiKSyYU0fenAeFYyExMSzY1pYDKCoJsSVtYjuEsh0xDiCJAaFfcGKNipaErF5FXLm+TVq1vkdfu16q6B27bQhYAdzFrJHQFkFENOfyxAeR0/NN28VlMIzKVmAt4jcKllHQG379qFfxyFQJXn2G8hgJz/CGgq1WB4YmUBPzjOrg+gX8f5vFYVhgDo6upSA/UrX/mKHHfccVOGQgah9773vSoSYKChQjCOM818g3SlGOsHP/iB8Yz4bUBTCLibEj8rF79ShUC5SsCbo1G5salBbqurnSz61ZTNyj8PDElP5i1yeKRXNjefIKFIVAZibRKKptTf3blSjvcgUmbuGc3q6vdYOicjmZw0JMIa/Boa2CnLFrVLsqZGJ8iO70W/fYzlwsp875hI1wgsYxjtEfWVL9cwzgu9aV1lD432qf9/a1trycNfwg5DRqS5JiQdDhej4h0Bu7PuTJTZFdi2bbt0ZZMylLcyJ7WmwrK6Oa71D8o1GOioYoz4BqcYyORysrEnrZWPrVSpeWlAbYREWGMKBodHpX9kXDpbrR0BaJZULKRuUki9GomEJJfNy+6RjLzQk5Y9IxnJ6UZDSAuTHb2qRd55wipZ1mzNwUwN1bdR3dsvMV58fuwCQuhWakfAq6w2M3F0/r1aQgDpnuFmiSQSlWpeZEiiEKjUbM2f81AIVHmu/BYCVb4916d/3/veJ5s2bZIf/vCHrvvYB1ZCCOALHJWPV61aZXx9bjvgiwW7KTiPHw0ZRND8ylgSCCGQy0hkx18lu+hwid//BUk8bFXZtttOpMBtbpT/qauVXGEHAKk/L+wfkAsGhuQXze+R5zvOUv99GMKWT79oCk9nQ8YbpPTESjT+jv+2jFS4AOVleUNMdm3bonErEAKW733RLkBhQJjP+Auy8mwbyOmOAQKDl9ZH9fdyDcGzm/vTet76dK+k4tGyQgCuOKNpkcZkSDPz2K2cELArDpc69/bt2yUfTUhvvk66R7O6GwDDfVVTzKprUKahvgCYWqlDpwYpI+3os93W7oblUpTT+IPsxJikx0cl1dCsLljgCDGBe0YxtY5URFJxK5UqUGEXAfEQOwczMpGzxNd+7XXyrtetliNXNGuNgukaPkdqa2t9i9MpPjeEANxA8LlSieZVVhuTa0XV8QcffFDOOOMMz4sNTncd1RACXgRGUwiYPF3BOJZCoMrzTCFgTcAHPvABef75542KkNlT57cBjfP4mSO/Uvcxn4UAVsJQ3RkuB16nCDRxDYr/8fOSeOh6GV98tMR3PIqwW50+BAH/Z2Oj/LChXibUB0ekMSNyfn9WzhrIyi9bL5Hj5DF5qPVNMhptkAh899VYtXL62w0BsSiABQNYV7dziBPIq9EJIxUCYnlDVANdt2zeLO0dHVJfm5IsioNNpgVFvn7rGmwDFu45L/Zm1JqFMb26KWbl9i+u+uX4POwZy8rOgYwWF6tP90g0FpW21nY9oviLA0IAKTmx2r6kviAECik99To0xaflHqQmumYmKrgKqWvQ3jrE2BlEis2xWIO65WBXpLPeSvsJMWBXQ7YvVSkWBIDFwEoZWiwG4A6xdTAr2L0ALpwxl5mQaGZMFre3aDCyZceHtDKxJQjylhBR16SQ9I9bmY2GxzFHVtA2dg5qkzE5YkWznHfkMlnXWV9gu++XS1CEwFyz2ph8LVdLCGABCosqyCZXqWYHRs8lVSqFQKVma/6ch0KgynNFIWBNwIc+9CHB6tV///d/G88IfDURx+DXSnqlhIDf9wEhgC+Bgw46yJixmw7IIAUDzg4cd9PH7TF+CgG3tSjCu5+W2D2flfiWP05e9oSI/KShXr7T1CD9hRoADdmsnNsXkz8Ov19Gox0SHx+S5vY2Najh3gK3Hhjj+G9k2tTsNZGwFu7aMZTRAFW0aEikKRmSrhEr6BXHrWiMWrsJIrqDtnjxIkkk9hYf0y/5bFbSmYxkshnJZ7MyNpGR7UN5TaWJvy+pyUoiGpFwFFmGCj/RsP4ejkTUzxquNrtHrAxFtfGQxEa71fUPcTKlGjIQoZZBPXYaGvb1mS/lBVQug9D27TskmUhIfVOzbOyZUH9+7JjUJSJaHRkMptvJACsUIYPhX1BHKg0sQWLtrmBVH0XYMpm0jI2PS1N9naYTtcbNC2oxoPgYAqohGmxBoFWVCxmMaqKI6QjJjqGsDE9YVY2bamLyunUd8obDlpR0F0KsUV1dXcV2BFBEEBwqvSNQSSGAQPY//elPcuaZZ87wXLj9tHF3HGLT8FlaDSEwlwxJFALu5jdIR1EIVHm2KQSsCbjssssEwaaoXmzaYEAfcsgh0tpa2n/ZdLxSx/uZI98+n9/38eyzz6pRQCEwdYanEwLRp34q4aGdMvaqt0v9t14l4ZyVLx/tnpqkXNPaLFtjluGLIODXD4blQ31b5P9LvkeebjldhkbHpLt/SFpaWicLYuFY7ALoinQhnQ9EwFgaq/7WantTMqxuNkiJiRcgHlY3RSUayqurRzaTlT1duyWZsgKFs5mMpDNZyWY1H6g2GPSxaFR6MzEZzUd1hXtJfURqIpZYyOZwfE7Hy+nvWckVxAL675qISz4UloZYXuojaXW7SCZrJAoRAQERsf8NS9eoyFDGqkOwvHGqENB6AlOqCTj4790ImHzRFgItrS3q2z84Zq28Y1EeaUNR8GxJ/cwBurpzgNSi2bxVQTknmroU/+K/u0cy8uKeMRlNZyQWS2h2I8QH1MQiKtJakmGtQQB3ogyqIktI/44dmdbaqF4PdiIyEpKt/RMq4jCHmK8ljTXy+sOWyEnr26U5tbf+QzWEAAw/LJRUonmV3tLkWqspBA4++GDp7Ow0udw5HetFPASFwJymYEF2phCo8rRSCFgT8NGPflRz9d9yyy3GM4J8zjBuy61WGg9YokMlhADuA18sfgkapHmFsTcfhQCyX2HVzw/XoLJCAG4hX1srocy49Navk+bB5/XJQCaga1tb5J6UFSCKImD/a2hY2oZOkvvi/yTH1e2U0Yb9dHVyeGRYuvd0S/vipWrMwgiFcQnjFO4nMEyR5nJC43fhjiJSF81JOJ+T3jG8bhX+qotkJJzPquGJhKDq1pPPSTwWlXgsJrFoRKLYbYhEJB6NSjSC38OaAhMr21joRj79jrqYFhvTSrzqRmP5uU+usGO1O5fTn6e7xtQ1qbMmL+nhfj0mkUhYQkTFA0RERsVEXyYqI7mIxEM56UzmJkUCrikaiUgoHLZ2G2wBEQnrMbh2DRrWTEKWi8+2HTslEU9IY3OTjKXzsqkvrdcJ4xw8cDiy+6AwGASVvWKPMAvrvy13KyttaSEioOA7ZDlDFW4ccRNDI7JzaEILs6FBIGDnBdmK4IqELEOJaEh3OwYn7GBkkbZURNpTYWWuWwEh0UxML/VOqFsXMhVB1K3tqJe/P2q5HLnSih+gEPDi03jqGL29veo2eNZZZ3k/+DQj3nXXXSqwEKdTqWa7Qc0lQxKFQKVma/6ch0KgynNFIWBNwOWXX64p4H75y18az0glhICfqTHtG/b7PiAE4A8PseFHgxsCUtL5UbnYFgKvfe1r9RxetlJCIDSwVXIPfksanrxp8lRjoZD838YG+W5jw2QcwKFjaflE9x7ZmDtFbmm7SH3Ybf98dBwdHZbdXV2yYvkKyedzMpHO6BzAgB4ey8r24Zy6vqSzOYlJRmrCVuL6wWxMxiUq+VBI/dNRrVdddiLwgA+rYd3T0y31DQ0Si6HmQHHDSrholhsY8Fi9hpsRVvLLxQfvFQZW+syu4aweu6guIkMD/Xr++vr6yTz+9hlx7t6RjBrK2LFoSUBMQORAUGRVTCB7jy0wrKrGdmBzIcA3bN0TAn6x24HdB8wzXhtMi2TycF2CG1VEtDyAwFgPq6tVIRrCikMo7DxMhk0XfJI002khhSpsd7hX4WdsZFjGRoaksa1DswvZuwUQRwimTsbCk+5Y2LXBDoXtugXBgHgIrUdQSIGEOIjeUZEt/ROTdQhqE1E5ZlWLvOFVS2Vo2/PS2NDgy3uk1HsC7npoldoR8CrPvcn7O4hCYC6B0RQCJk9XMI6lEKjyPFMIWBNwxRVXCFxjTOsPoO8f//hHTceHmgh+NWTEQbYPVJL0q+E+EHzm184GhUDpmYOBioDz4xdnpPnZH8roIW+WrhcelTVPXz/Z4eFkQj7V1iIvF9yAkAnozb1ReTj97/LG3N3yt9azZDy1VI1Y+ObnshlJpzOCdIoo6AQD1w4KhkGdDsXUZUeN31BYqwK3pKIakDswnpddw1Z2H+T4R/pMrHpjhRv/YtUav2/bvkOam1skGo8XKu/imL0VeHcNZ2UCQa9IwVmD84TUtcY2lyc//Kf8YrnADE1kdYUbhvWiupj0QwiEI+rfjmbVGtj79TE4npOhdE5X7VFLoFC+zAoTxr2rZb43UgB2M4QR2NuGCYQDRAPcS9AHYiCfs3ZFBtKWl39tOCNjeeyJhDWGoiWRk7juLsCwD0ussAMRC1ur9dghwW5JMh6VWATnn5qCtL9/QAYG+mX58uVav+HJ3RPSN55TIQSDf0VDVGoTe8UADH4UJesdLewOCIqVRaSjNqI7EfbOCuhs75+Q7ShghkxFoZAsbUzI4viYnLyuXV53pD9xOsVPOIQAzg3XyUo0WwjMJc+96XWiEOXDDz+sMQKVbCieibSsfn7vFN+PF25Q9vsNu3uVrLtQqbkJTR9AVKnLmFfnoRCo8nRRCFgTcOWVVwo+WO3iZybTct999+kKm59btH6mxrTv1W9Bg6xMqPzpl1EwX3cEbCFw2vDPpfb5X+h07Emukraxl2QoFJKvtDTJfzfU6+vhfF7+aWBIlvcdLv9P/kGy4YS0RickEbKqVsGwh2tOKAJDNKaGLIyjjs5ODbaFfz2MyF3DGRUAMLTht1+LqOFCis+XB/C3kAbGLrNTfBa8WZw1AlAEEM98TaGOgP0cYfW7dzQrEAIwfZfUhXV8q7IwHO2tbDhqjNvxCoXfdfxQSHYOWsG/NTErHWjXnj1qVDc2NU/x9reLgPWNZaVvLK/BzwgWdu46IBGP1hJzZBuy/265Jll/xD9Yid+1c6fUJJNa5EtdeUIiL/enNcg3AaGRFNnUn9F7SIVz0pawXJXsGAfEPiDWAbsuzloFCCC2dh2ilutSJCyZTFbSExPS3NIiKEwGG2LzoMiOYexCwI0rL4u1WnJYVjbFdBcBDXEDOwYzKrzAEHO1tCGqsRyT8yAi/eN5qyjbeF6G01kJTYzIqtaUvPHYA+TVq1q1OJmfjULAP7p33HGH1teppBCwdz/mEhhNIeDfMzFfR6YQqPLMUQhYE/DZz35Wbr/9dvntb39rPCOVEAL4QoXBtXbtWuPrc9sB94ECNX59sfgtBJD1CcYu7sHrhlVi5Ao/4YQT1E/dq4YvxfGBLhn5+fulPtMlLQNWrQW0P9Yk5TNtLbIzaqXDXDIRkX/risp5Exvk85H3yGOp42VJfVhS8ZhEolGJaY5/h5uIugaNyu6uPbJiBVyDsNIPgxmryVZWoGWFVKAYHyvfm/szalhGQyFZ2Ri1YgFgIKvBvndFHb+/tHmLVvpNJGr0b9hx0B8RTZGJo5PRkHSkLBFg2fhWNLItAqb+a4kDWN7bByw3GdQbQKacvt5eyzWooaEkeuwIIMMQLndxIX2ofbn6JeMQArYLkmX/W38o3KYa/Xv27JFEPC6NjQ0FIRCS4YmcrsRDOIEZ6isghkIDc+si0pAAe2ucvWNhJwK7KBAGCI7OSajgnoXfIRyQ9x47NkhJawkJKw6jNxOVHRMJdUmakLA0xvLSnszL4pRIHBmWIlHLPWs8pEHSiIPAiRfVxaUlWQjAKJBCLMjL/RndGdjeM6jHru5slMNXtctJ6ztk/w5rl8WPhgUM7Kz4Jf6Lr9mLglemHLq7uzX2Au4ylWwQAkcccYRvO7il7sULNygKgUo+JfPjXBQCVZ4nCgFrAq6++mqND8CHq2m7//771UD3M3uDn6kx7fv1W9Bs2LBBXVX8MgpeiUIA/vgw9vCDey/+Ha/V9z0jp7x49eRjh10AZAO6td4y0KL5vFzQH5KhkX+Uv8VfI0tigyI1Leofrrn+C8G7zoJeur4fCmuwcFfXHlm6bLlsG0QOehjrOUmGUb0WOwIhXVWeyOZk22BW0pqqUqQzhcBaK9sO3EwQkLvX0LeWobt7eqShvl4DbrUVPs0hNMayVhBzGwJaJ4twFXL3aw7/qW1v8h4r/z5SYqLZfvhwocGKeW3BNaj4PQr/eax+RyQvnYWCYpOypVCMyz5HcaIgddgpVATGuL19fWqYwxXPbnAZQoVliBOIm6ZEWOsLwPUJ94L7tOoi7G12ILS6RNkiQbMpIc4Crkcio8PDMjoyJEsWL9LVfu2jCiYrg2NpebrbSg2K2gHItrQokZOOBKRBTncd4AY2nBHpy8QKYiskyahIexyB3FYaVuw8hMIRDajePTAq+XBU0uGEtNREZf2SJjnxgCXymtUtKjC8bhACEHB+xQUVX2+QhMDvfvc7Oeqoo3xL7lDqWfDCDYpCwOt32fwfj0KgynNIIWBNwDXXXCM333yzIDezaUOQ8Zo1a3zN5+yn24t9vxA0yMHvl4sThAAMYb8CB59++mk1Oiq1IwCXnnLGvW3wY5UXDdeFGgf4wY6C/W/4hd/IxNbH5KDtN+txjyXi8rH21smUoIeMj8tnunrkk/FvST7ZLPA9h084fO7hRoLgUJiN45oRyE5RiWBZkXQ+L6NjY7K7d0D7avrKPHLUhzTfvuUSY634YzV9RKNQQ5rdB0GwhTJcapjbhr7T1WVPd7clBOJ73UuQraZ7DCvnokHGSOeJZrvYYHVYDeOCy03xv4hlmMjk1e0F97a03qrmi1VXrGQ3NjWVfHvCVaZ7BMHFeVlZlD7UPj/uzt6BwGvO3Qig0JSqeRHcFwKFa+vgjrXXhQm7Dv1jljSCTz5w7Rmx5tfO9GPHJmhwcFHhM9yrLU4sp6y8jIyOytjomDS3FFyeigoeQLRtH8yqmxR2bFBwbHFdRFY3x1WQwBUIWZjy+YzsGsoIKhjrfeVy0prISSpScFvKZDXLE4K3+9IRvdfhXESDq9uSITmgIyVHLE5IR31CRRDu3/7X+bv9Gp5nN67QlRYCduXbU0891fOg/nLfC9hBQsFHZNKpZKuGEMD7ENn15hIPQSFQyadkfpyLQqDK80QhYE3AF77wBfnxj3+sAcOmbSEJAT93Nl544QV1VfFTCMDQROD2XBu+rBDPYBv6MDBeeuklXX2DKwcMffxdjcxCWkunkV/8O1yWtGXGJf6XGyXdvEYeSRwvr771REmlewTZ929sapBvNzVKNhTSXYCV4yfL+/dslHA+JN9qeK9kJaYrz/FoSF1TdCUfGX+sSNjJbDoFM1tfGxwd11Xg2to6NTwb4shFHykY99bHLwRE75iVKacxHpLmGhh5eQ1+hblqpfe03INgxNvuL9u3bVW3hNpUjb4GZlv6kfNeJB6GQb5v4S2s6u9bF3jvbGFVvGc0o9lx0Na3xpXvzp07tSZBa5mCYgPj2ck+B7Ttm9VJXZtmeChwHhjR27dv1xgB+O07Gzht6LbmfHF9RJqSkcK1wsgWFQcQPnbcg7WDYrlMYdzJ3wsiBEJicHBYBkdH9VwIxEYreEdNnhpGPYq6QXRADGDWWlMRdVHSiSmIB8wB3IAgWKx5yuuqP1yzIKbiEZGdO3ZKKJaQkViDjKezMjSe1diHlkRY1nbWyVFLU7K8zqoLgecbzzr+xY8tanFheFamEwq2eMB7BsdhF7ASgaG2EJhL5VvTz45qCQG4sR5zzDG+FrIsZuGFGxSFgOkTtvCPpxCo8hxTCFgT8OUvf1m+//3vawYg0wbf8VWrVsnixYtNu7o+3k+3F/si/BY0EAIIXPWryih2BNwKAdtlZ7oVfXsl3DZ44HaAOYbLiNPQ1zST5XJiFs1w5IXfSerWf9FXNzccI+GRLonIy/KR9jZ5LGnFHnSkI3JG3yFye/qt6rpjuZKINNdYufnR4G0Dw9J2srH2BSwXFPwNhiAMvO6hcRkfG5WmhgZdSa6LowiXFQOAoWC2bh6wXIKwCYCiYehrVd2d3nRGsHB7e4ekCvUMYKx2jyILT05WNUYLuwpTAcwkBHD9XcMZNXqx2r1fi2XUzyQEYPxuG0yrwX1g+75CAKvmVl7/8g3CB8Z+OSGAnlv60zKazmkQ84rCzgNeG0lbBvqaZmsHY8am7kp5sbIGDcqy5cus7EVaf8CqReD8F68jgPrFXrh3Ybbz0p6KaGGzIo+kydoQSAuLht2KpgRckUIy3N8ntcmYtDTVy+CE6L3gqMHxrMY5rG5vkOP275QT1rYK0o46G3bAisWBUyjYvztfs6orW00LzBV2G2bacbD/jvezSauGEOjq6tJilKi2W8n2m9/8Rl7zmtdIc3NzxU7rheihEKjYdM2bE7n4xJw39zIvL5RCwJq26667Tr773e8K3GNMGwpNIRhzyZIlpl1dH08hMDOqZ56xAm3hGmQb+MX/2r76EAK2ceJ01SnlvgMDBv0glI4//ngVAbNpka0Pye4tz8rKBy+fzDd/X01SPtreKv0I9hSR8waHpHng9XJr6I3WKnxY1LDE6jMMdBjriQjcQbBiD9cQUR98GM0J+Jjr0rzl6rNj2MpIMzrYL0fuv0TiqHRbsIWtPPpYfc9K14jlTrKiMSq1cSuXvtOAK3evTiGAHQoECGPMxqSVjrRUm04IWCvyedk+mNZVbVzLsgbL7WgmIQDXIGT2QTugDVmDpn61gJ0z2LnUtc20I4A+KJBm71bs32pl8YF4eLE3rUY83K7A0Y0wxDUh+BLG69Jly/a5JMttqiD1Cn5FcP15cNuoZgHC/x3QGlOxZKUbxe6QtcOD/+4eyUnfBOYW8Qt5rVQ8NDigMR0Qs7hexFbgWcFzhTlE8bLlzTVyzH4dcuoBnbKs2Sp0NtuGQogw5leuXDlld6GUaLBfc2amwk5aKdekckLCfp/CKJ/chZvtxbvsFyQhgHvFnM7FDcoq3JfXea3ELpHLafTsMKYPNUdJIWDOzNMeFAIWzq9//etyww03aPVY01YJIWCy2m26ih5MAAAgAElEQVR6/fbxfu9sbNy4UY0e5L6ebcMXiO2aU7yaD6PKrjiL8W2XnekMfRgLbow2nAsi8bjjjtsnXaabe5kY7pOWGw4ThN+iwbMcbkA3NDVo0a66XE7+fY9I69ha+X7sAumJtGrwZkMCxnBUc9XD6LcM2n1X6q0Vb+tKYNjBWNVSV9lxiY3skdWrVu5zmXAzeak/o7sKqJK7tB7Gu2WMO/3ZdbehMLZzTd0pBJBtCCvQWL9d02ztKpRq0wkB26je1DuhaTNRXbej1lqVnkkIwKDdrEJEZH3b1KJqeM3a4Zh+R0CPC4Xk5W2lXYPwd4iJ5wvuQXAFwjWiWQIBEdJi1WQovK5FxMKT0RZTqgqD0GBfn/T2D8iKFcsnMys5DeFSDEfTWbl3y7iMpi0x8KqOuKwp7JwUH4+0qppmFOHFMMCGeyWRiEu8pm6ySjLCB1C7AK5KCBoHpoZkRNZ2NsiZhyyWE9e2ai2E2TQYjTD43FYTx73jPWy7I82042D/vfjaUqmUntf+mS7uwe1nQLn73717tyCZA9yRKtXACa5Bxx57rDSViZvx41q8ED0UAn7MzPwek0KgyvNHIWBNwDe/+U0VAw899JDxjKC8/LJly2Tp0qXGfd12sFe7UfDLr/ZKEAJYqS+3im+v5tur1fhyd7ro9Pdb1WdRdA3GP37cGPlueM5FCLywdYc8+MQGecuzF0tjrld6w2ENCL6/4FKzbnxCvrx7j2Ryy+Wqji+pEYw0m7UxKzc87kHdP1ARd0oWfevKLXFg/W65yEAEYCdBpD2Wlu49XboiW9y2DmQ0QBiCYXUzCl5Z6S5nbpZL0uYtVh2BXCQp24eyamgur49JXcIuGuaotVuInMVug+XoVMjtrxrDEh62CHl2z7j+jorCSB0KTbFz+w6JxmPS1tqmx1tHw/feCrqFG9RLfdYuj67U2zlCLYcp5afs8tYKu12QDPUFQo6oXrDetnWbJFNJaW1ptXOeTkb+IhMSXJD6x3O6M7O6JaZjwrjZNmBVN4bLz36o8FzIAjQdz4H+fukfGJDly5Zpdh93/EWGJyAGxmTc0h5yeGdMVjaVrniN1KdbNeYipBmRUDdiRUeLXjOqP+N5g4vQjuGc1n+ACxU8evA81NXEZf2iRjnj4E45bnWL3pNJMxUCJmPbx9qLAxAFWAxAYgV8TkJQlBMSeN1umPPphMJMwdJBEgJe3CuFwGye8oXdx+xTZWGzqMrdUQhY2LEbgDgB5IM2bRAPEAHzXQj4vbOBHQEY68iw5Eyn6VzZt1124E4wXfBtqaqUzz77rLq0uF19NJnn2QqBJ7YNyOJb/l5Wjz8j4xKXF+N5eV9nu+woBA8fOtohq8f/t5zed6u8WP8auSt+iuaHhw86dgLUXx+GPqrelhABe1fuUY03J9sG0ioikA0GLirp8THBl3exEFDXoSHLcEbBqkbkni8EsbrlsmXLFq05sWs8JhM50WJbCBCerlk7Avs2+z40ILfHMtIwVqpQ6Aw7Ali5LVf1GkJgU29ag2fXlvDTt6oZzyxycNy27dskmazRgmKlmrohDaBYWF5jAuBOgwZ3nI29Fv/mZEg6C7sZ0/HA+2F4cECWLLVcg0zEQN9YRu7bMiaZPJ4RSwwsbywtBuD2g2ve02ulRl3eWq/Bzc6mbllDWdkzkhPsOmCHB7tMiVhEjz9xXbucd/gSIzEAIYD3qp8LGM57GBgYUBc+uK5M53aC9xPEwHQuSsUiwv5swvkgHuzdBnBD7BMWg6YTFF66weD6kTUIO5SNjY1u37JzPm7Xrl0CN1VkZZptoxCYLbmF249CoMpzSyFgTcCNN94o1157rTz66KPGq8gQAogPwBeBX81PI9e+5rkIAXtVbqbVfPtc07nrQADMZrveT0YmQiCy8Q5J/uHT0tVxgtyYP1fO3/RJOSD7vNyZqpGPt7fKaDgs0bzI2/tSsiP0bulPrZGe3dtFatvUuEBayOWNtghA4GjpoN3JVXRUBC6s+uI1GIUwouFqowXFioQAXGRe7LMKh9k+7RAcMwUHFz/bEAI1ja3Sm4lrjMGyhr0Visu9D8oJAQg/GDe4jy0DhZX9lr2VdGcSAjB0Xyy4Bu3XHNMAWWdzujrN9B7dsWOHJBJWZeFSDc86xAo2T1DnoN1hUKPoWM8odjgskVB8HcXj9fX1q9++87MDcR4zxDVPDrNrKC0P75gQuPckIiKHdsRlWYn0qegAkfX4S7slFE1IbV2t1MVCGkDudOPSGg7DOd1Zwv3hPrD7MZYRWdZaJ0etapELj1u5T82EckwrLQQgrLCzOZMQmOkZKPX34mBpWyhgFwIGMurIOIOp8XdnpiVnsLTboOlywdIUArOZwcr0YYyAOWcKAXNmnvagELBwIlD4c5/7nAZCmbqTPPzww1pDYPny5Z7OjXMwP41c+zzTuTjZVVCnM/Rtlx0Y8aWCblGMBoYpqmGaZgNxA/a5554TrNr5UbwIX/AouAafXPgfT9fi91wliUe+pYdMSEx2htrltw1D8rUWKwd+eyYjl3Q3y89qP6OZX2CwP7l5pzQ1NkltTUKWN1gVfdXvP2flqS9uThEA/3i4+aDB/l3RYLn5oI2NjsquIiGwcyijxh0ajFXUDDAVAegLITCaaJVwLKG7AdiBmKmVEwJ4HUXL4JqycxjpL/OyrjU2mRVpR1H60OIvDsQ7vIAdAV2lt8SU3dTzB/7xmmoTblfTf+3s3LFD4tMIAYyrDMfyEg7nZS3cgwoNImtjL3YLQlKfCMnSQpXjclwsITCoMQL2+8dECGDczX0T8mRXRnckUjGRg9oTVmrREg3xD8OhGsnH6/QZQ5pXHItncJJXPi87/3/23gNKtrO6Et6Vc1dVV3V+OSqHp5wREkiAjYHBPwaELGNjA0aSTbCBxRiGIGCMYYb8Y4xle4zBzIBYBs8PWALJICGBhBASSi/369c5d3WodP+1z3e/qlvVlW51V7d4qm+tft2v6sbv3rp19jn77L2Qw1xa9USwkZhKTum8Q8DAqw9swVV7kw0ZkFFfn8+CjaoIaCBAl99WPGMqzSlBKqmb11577aq3db9Do70OfM6UN0tXAg18xlKFjcIIrAhYeyHq3d/1PqO13q91ro1ut10RaHSmnj/LtYHAJl/rNhBQF+DOO+/E+9//fmn6svsg3Qgg0Moglw9mBvishlCKjoFueSOu5tTyy7VeNr9aCfzIkSOYmZkRINCK0co5agQIOOaH4Xnw0xhZdGD7s/8op7jiAN6fTOC7YeVSu3clj/864cCvvS/Er3pfJdrxbOydmpxCMh7F7q6gBPN0hK0GArgd1fyq5B9J+WDullKgDMatWWgFBEaxffsO2T9Bw+BsVojlNCbrDroqy2qW8OZLlf/loe1w4KnDg1jxx+H1eJXikEd0biy2WaVXmZt0OcvoKOYijM15PmOpDKaXDfhdDuyIFQNsqQh43NIjUGkwCBYgACWBqgzRykeRGmR1GdaWZ7pv4OTwSQQCfsRjnYUTN4lTAibYU8B5Z08Ct8Pm6ICbs696IiaXchhNKW+BHYX31LFIkGeZWw0EBrYMKAqYWQogRSgnvSL1Pylch/4GB6dzAgbCXgfopVAJDJD2FPAHkfN1iFOyOA/DEPCpKU7cI7fJBvDxlDKaI0NLFKqcTpy/I4mzt3Xi6j1JBGhOUGMQCAQCgXXx9qg/ExDqISsCzxUg0MgxW5exNktXAg+64sDnM5+lBAlMfljBA19rtOJAAGGn+spqGZ+zL3jBC+yeWmH5NhBoeupO2RUbeMydsuf+nDixNhBQl+Gf/umf8J73vAdU57ELBOi0yKZJSoi2ajzzzDPCZ7Wb7eZDt5ZmvjbG0l8k/FIgEKiU0edr/IKxOz96Tk51IOB64H8ieP9fF26BOacDt3V34+GA8gd4UWoR7x5fwu8H/15UZRirzqUN+FxOpGYmcOaWOEIhBQRqZeiVug6kQZZBvW7JZSWgEMwx8+10mBWBUezcsUNCdPLol3KGqBDtjLngcjiRM1WIpB9ZolXtalX7bv7ZwWGEIlGEfQoINDKkIlAtujWgGm4zeUQ8TmmU1qMeELD2FtDDIGD2FliPqbEuAWDo5EkEA4Ga+uyaHsSpSgRcAqr04HusCpBfz8pEJadjjQZmZqeRWkhJs3ARIKgr6nY7keGFtmArCaIqTDQBwDNTaRybyQkFKOR1iBlbORggEAgGgnJuVBRi5p9ggEpUVDsiHYg9EPRF4FHwb/6wYNAbcouh3dhiHrt7YzhnWwLX7E0i7K9+7TcaCDA4JsVxI4HAegTHjXx2rMvwmf4f//EfuOKKKxAOh+UZX660VAtI1GuWrgYkSIPic5xAoNnvAQ0EmFDaqKqN3fldy/JtapD92WsDAftztq5rtIGAms6vfvWreOc73wlScOw+4NhgzCbGSsos63WxCAT4oKdDp3Ww9FyPl695qpqyUy2j/9hjj0nDc6t6HegySnrQgQMH1mtaSrZTbY7WY2f84qTZHA18qMFeMow88kf+E08dH8UlD79d3hpxufCW3i4c9KrmzasWBvCx8V9i1NmLD8T/OzIGML2stPzFqXdxBn3JKCJBnwAEJlqZ2S9QNsSAigpBSimHai/HZtMlIIBBp47hRQLU4cDSoqoI0PBO+PeUC3WQz+8WA6lmKEE8H3LIf3VsHB2RMHYmAghVCLwrzXslIOB0qP4ADnoRLFM61O8sSIfKfNapCJCS80yFJuMSIGC6H9e7HwgEwqFQ3SZMVnLm06xeANst1Qtun83YVG/i9WW2Peyt3CQ9MzuDhfmFwmeOlCircpD0TlRtGFDuwbpswet7aDpduMasiuzr9JQAKgIBry+IQCQq8qGkiPE8coYD2VxeXKXZoK0KF6oyQ7diLut2OeX/UZ8To6kstiQ6cO7OLlyzN4F4sHKTMquMTCysh9t3vevG9zUQuOGGG2w/xxvZfqVlNgMI8Hl0991348orrxQgYHfw81YJPJT3OFj/X6lZuhF3aU1b0pXiNhCwe7VO/eXbQGCTr3EbCKgL8PWvfx233347GEw+V4CAyPul06KwwyCav5nJs9J2dGaHx1xPZaeewQ4pTnTObQOB1R/KWkAg/4uvInrPXyAHl/gEHPG48Obeboy43XAaBi5dvBgp43WIeh3oDjowm3bgyExGONfM3jLonZ2eQjTaAY/HK3GdrtAw8BdahsshcpXM5DNEYyZXVwK2drgqZsB5FlYgoLX+CTL2xH3IVuk/qPdI4rEdnc1hZHwSiWgY+7rKgFGNDVQEAgx2yQsChOLCrghSlrQWfyNAgMHy05OKGsTKCM3IygenrhEvgUaBwOxyXlR2CL/2dnpWNdAS1KzklOkb6UqVniurgQBKzdyEbaVM4hoZbFYeWcgIGKDJHPfJJu6434V03sDI+BQ8Ph9CQXXNuHkG+nRyVnjDEODA3hWCFw1EaTxHuhMbi7ndRMCJ4YUcumNBHNjZLT0D3RFV+bIOAgECZ3LZN2IwY81ep40EAnSi5vfGWugydueG3wv33HNP00DA7v64PMED+4L4XXT22WfXVFzSAMLaLE1Qq6VY2U9Hmed2RaCZK3HqrdMGApt8TdtAQF2Ab3zjG3jrW98KSlzaBQL8suvs7JSsa6NDU3bqZfMLASG5vE6nAIFy2s5aKTv6mFvd60ADKlrUX3DBBY1Ok63lNqMiMLuUwcEHvo0X/OLP5Fgf9Xnxpz1dmHO54DacuDT1QswbL0Us4EZPiLx/iIkXaSMMspgtZhB78OgJhKKdgNsr2X6+Jgwa7Sxr6uFnDTrGUutdKbowYAt6VOWAlQT+ZsAr/3dA5EMnx8fQvWWb6g0AqwEehCl/b2t2iwuzGkDzrKmpSezvjaAzskYgIPKohpyzDubLs+j1KgL8nDxlAoFqGXgaezWi0y/UoGAAcTFqqv4VZaUjbYm4EWHHtGWIyZnMuVLnoTt0+SgHAozGy49THI/N/gJed+6XjCHlJmz5v2Tu8xhN5ZHJ5TGznBdwwjPgNefxTU1Pi7Mws/S8RxS4dEjT80QqD5dLgQeCKVYGrNUIMSdbUGCA9xrlR4fnc4iG/DiwqxtX7kmuciLeLCBw4403Nnl321+NQODZZ5/FNddcY3/lJtfQQOCqq65aXaFscpuNrHbixAkcPnwYV199dSOLV/Ry4HdeJBIRgY02EGhoGk/5hdpAYJMvcRsIqAvwzW9+E29605uE/2gXCJAHS3fHnTt3Fq4msydWrfxKuvk6W8KSaTVOvs7y8+FLrepzzjmnZXcMex0ogdcq9aNWAwF+GXOema1a71GpIjB/8AHE/u9bMOzegq2LT+BRvxNv6+kSedBILo9Xz52DX3j/SLKnlJhk8yelMZdNEyhyx0nnYcDP+66nuxv+gFIkYrBHOgZBAQO+jGFgOcMgLyea/YwM434n/NKgy2F9lBoF+cl0OoO5+Tm4gnGlCe92oD/MygUDTqU/L9Qk8Ssw/y55Xb2nh64GMIu8MDWB0/ujCJjH3Micr6oIMA1tZryV8k9aNrMrptSM9FDyoS4kk11Vd/PURJreXtgSXh2UcyU7FQE2uCYTidLsfIU9S9Y/SydeBvurufJUc0pllOPy7k6qIIkvnFwLBtlTs3NYWEihu6dXQCLNvBj0k6bD/3MZWRaqesShp0ys0sq/QXmfZPOYWuL65PcrSg+v7RlJD5ZnJxANB9Adj66qYHD+eX9KW4KpPsX7k9dfiwqxCkJzMj4juU2eM/0oAn4vDuzswWW7E9htqRCRNknqykZXBDYSCAwNDUkCqdHguJHPSb1lGEz/8Ic/lH3WUzGrty077xMI8FlFANLsaFODmp25U3e9NhDY5GvbBgLqAtx111245ZZbpPRZDwhoyo7O5vNLgFxJcu91wM+MjYRnDkdBZcdK3dE8fa2ZX+82oFTcRgCBVjY9c25pUd+qikArgQD5sffddx8uvvhiCWyGZpYx+eOv4Iqn75BLd3/Aj9u6k1gREODBzdOn41HPq+ENxyRrz0HaxvSyovT0R9zCtWbAxSz1sWNHS4CA9X5QKj2UcMxJNYBVAYILZmwZHDJglCyxZIsV/YV/M6LMZNOYmlkAgsp0iDQk1VBsdqCK2a6S1VRRZskv8x5WAIGBH/X6Z5aVTr5jaRo9nR3w+/xyHtwilyv+rQJVzW5hMMwGWH4mVL+DCjDZq8z/FxSNqK5EDwGLF8DoyKgAARqYVRsaCAyEXdL/YB38zDLTzrkpO9VV/z85PCyGYolEHNms0tPntMhvM1Dn3/whZWZmhe7MkGvKbQtOozuvAaSzBkaoIATI9SqlLBlYWlrEynJaKn2re6hLj1V7PegvTWsViJiJlB1dFRpfzGEpayCdzateFFIHXQ70GZOIRkJmtWP1TPL6Hp/PIp/nNaIKlQKr1iHu1XMZyeayKbs35MTgXE4MvA7s7sElOxM4vS8iqxAIMPu7b9++eo+4dXmfPUisbJIatFHj+QQEBgcHwYQOexOaHW0g0OzMnbrrtYHAJl/bNhBQF+Df/u3f8LrXvQ58qDPg1pKaDOwrZfY1ZYecR2b2GdgnEolV0pp8vx6waOQWINhYWFjAueee28jiTS3DL20GWq1SPyIQoLnVhRde2NTx1Vtpo4DA1Nw8lu//WzyzGMQrJ76IB/3An/d0IeNwoCebxe9Pn4nv+d+MRLCoJiPBEzOpTgdiPqcotCgJUBV51wICXG52JSeKOhwdPqdQTWoNkSE0gNTSEp44MYtgLCFUoa4g6R4q8yzBrGShVeZZB7zF7SpaiQzzDwa+rEiQ5ZJfnEUkEhb50OJCKqOt1lQRtJWCxPO3Vi8Y3Gr6CYEAm1cZVPeUZdcpC8lqQjisAkzLIam/HUrbn/siwKKcJ0fJvuX/9QlRM9MzwmUOSlN46fIKlBXnZSWnqFpcrjvoVuDFok3KP2eXcyLB6YQD3SFTNclEI4uLS0ivLCOZ6CyALV5v4eYbhlQxFAhTQT57RfTftZ4rBIbiZyCOx3mMLyow4FyZw7nd3qpAgKdHR2FWBghoeJexEbrcGI00ITYZU3Gow+tAb9gtXhZZOHH+rm4c2N6J87ZERZL4VAcC65Elr/dsK3+f30k/+tGPhI7E6tVGDT7D+dMGAtVnvK0aZP9ubAMB+3O2rms8X4EAM/b/+q//Kg81ZjlIiyH9hll+BvSf/vSnJcNVLYvPwJ8/XOaXv/ylZInZ/NSqsVFAoJXqR60GAq2smuiKwMD+c5F/8Eu4+Mjn5FLfHQzgnd1JZB0OJLMufHjMhfv8r8do7HyRleQg5YKa84yNGVBRapMBHalCejDL1tPdVaAG6deZxV7OKE13Ls0e2G3RUjfYWvfc9MIifj00K/r7AxE2gNZ+5GpAIODASk2hdn7WEFoID4RVjpnJMXSImZHPzJabyqOFrLgKvCVLbp4qgYA1gBX+uylfSgUeKt8wCFZynEVFnLnZWThdLkTC4QLQ0Lr9+vypZMP9EAiI8o01IpdqBUFHZZdm2ZO5u5npWXi8HpFytQ5V2aBfQ1HBSTVuq23GfU50+J2qKqLVoEQK1sDgPLn1QE/QhXiAVB3Vy8HzWkwVVYP0/gpYokwxiGCokT4Hbkebs/EYSRMaWzKwlFqU++C8rcrcrtogKDs+lxOAxWOlU7U2qbPONylInBf2C8T8TgzN5UCvuvN29uDcbXE4Jw4hFo1uWEVgcnJSnuUbWRF4vgEBfl9StrTZ0a4INDtzp+56bSCwydd2I4AAJTlvvfVW3H///ZIduvnmm8XFl1m3aoPZjkpOjVyefFNuk6Pacq95zWvwta99rer2GdhxO5TLZAac///JT36CD3zgA9izZ4/wzBs1WtkIIECQMjc3h/POO69ld0wzTc92DoZfIOR6X3TRRXZWa3jZVgIBVn3+7Qf3YjnSj9Tgo/izoXfih8EA3m6CgG2ZDH5v5gC+53+j9ANoxRttzJQx5eBpkuX3KBdd6yAQ6O7uWsW3ZzB7bIaurqo5mAFZeXa21gQdnFjE2OQsBnq7sS1SGoQ3PLHmgsptlnx3A3vibhwfHBTZXOrSNzKkiuakrhKbgxWFRv0mWDAwupDDfMZAwM0MswJRGkCwyZxmZLF4rEDl4fsaSnHTzEhTw6fT55CAXA9NuVF6SwoQCDXJDOiFqmQJ7keGR8RHoDMehYdGYWzcNkFApfPkfsnFD7oVyKu2TCrDJm4DuywKQpS7TKUWMDCwZdVqQmWygEW9QKNggMctSlE5wO0wMJ/O4+TUAlxuD87rD0kWv9bQzc6Ud3VTIjW62oH4xFwOKd7c0pCsTOXYUMxzPX9XD1wLY7hyTwKn7d8YahCBACub9BHYqLEedBm7x0qH9nvvvVeUipis2qjB5xSr5pdffnnTu2wDgaan7pRdsQ0ENvnSthoIUM6NJlh79+7Fe9/7XnmIvP3tb8dNN92Ez372s1XPnkEvzb2sg6+95CUvwW233YZPfepT8pYGAn//939folXNAIUBfaPjBz/4AV72speJqo1dKg/199mwZWd/jR6XXq7VZlzcTxsIVL8q06kVPPy1j+CVM1/BsKsfB73zuL0nJnSgrZk87hwexn2+V+P+7teKVKMebKScS+cleKVyS9SvHGPLRyUgQIrIibmMBN9G3hAZyGp69JWOnIHcocklzM3O4ezt3UIpqjR0FUDz3lf/n70HKkOcNxzo8DnE8Gt0fAwdHR1SEdCGuat+mxUBpXoDoUaVfr6KDbBTy3TGJZee+zCP1Zyq2bk5oaGEI9U109mDwXOIeB0V5UPLz10n28u5+daKAINgVbGw9DuYoIHbk96GtKI0cZktERrFmd4Qlj4IUogIpHju/SGnKPiwQsBn2vIigcBAoWnbepxWx1j9usyfybyq9xwhzYdStVylwws8MTSLvMsLv9eLA72+VUpH5dtjo/PxWdUPQBlUggHel3qw2kGwwYZ2ApdtHaQRAWOLOcyngS53WlyIX33V2bafq/XOrdL7zxcgQPoqe5Y2GghQOpQqSW0gUP3ubFOD7H9y20DA/pyt6xqtBgIf/ehH8ZGPfEQoOJTY5PjSl74kUp18rb+/v+HzufPOO/EHf/AHeOihhwpZZQ0E2CC2Fu45FRhe9KIXieGVXSDwq1/9Sniav+lAoJL6UcMXp4EFWULnlwgbblsxWkWfWsrkcPdT4/Deewf+y8o38QufF3/S2y3qQAOZLG6YvxEHXZcjEEkgGihmWSnfOLqQlSw4KwR0Zq1m4FUOBBhUTaRyYNMn09iJoLPEvdY6fwzcpUmY3H+zeZg9AJT4nF/OSKC5pzcuTcHFYL/YF6C3JYGxbu4tk80kqJijC5pBLjypLU5MTk0KJY5AQAlcau9eHaXqx3uRNK96BHRuXjR0Cio4bIbmOZC+VA54ZmfnhIYXDleXKlXrOxDxoiEgUH7eEtjTlGp6Fl6vB8FQEE44pWJRCMJ1VcFSjeCcM/DlSPhdBXdnS6uAbJda/UyesyrA/hGOxdQS0ullxGLxwj50EzWDd2l1MJTike4N4BR63Twy1T8gkrGm4lOlZxeVpgiy5DTmxzCUjcDl9YH91Bf2emVbtQYrCYNzWRAU0USYVQ+rkpSivmXkOnpYFelQVStWeI6NTuH8HV148YX7cd5W1bDeysFEDp9jfJZv1ND00rXQZeweqwYCrJqTorpRg0CABmqXXXZZ07vU5oFtZ+Gmp/CUW7ENBDb5krYaCFDejACAqjx6sBzO177yla+IUk+jg+VePoioF6/HegEBXWZlU2IzQIDlWVY9WjVa7crL424DgdVXj42WjzzyEPxPfQs/H3fhWs838Oa+BBacTnRns7hzeAwH3dfgu323CTddD2Zij81mJGVMqgspQeoLsPIjzwoESBtaYMMm+wIM6rwDiYCi1EigLwG/avhVEpOlx80AMpszMLGURz6fg2N5Hn1dCVnIKhBUJJnAbRIAACAASURBVNYUdeqt976SFVVhO5tNefRBt+KDc4yNjiEW60DAX1QN4us6SLQqCOl9k96jX3eLa67imPO4Dk2pYLIn7JLKiR58f2SUqkEeaaqtNtiHwcR8V8BRCLQrLVuteiEdDQZwcngU/oBfOQtLs3NxfnRlw0pJ4t+8VmzQjbJa4lUN2fIj9CbViE0wNbmkgA9Vnxgss1l4Ja2MAtVQ94cVQpGKpUdJ87MJ7KxcKd17QGDAzD1/q0ZqqlUBS/Mz6Az6cDLtlSw/G33P7/HU1XOfWcmJZwDvj4BH+V9YwYD0FEgfi4Gw1yWVEe73sSNjcPsDeMF5e0VNaF+PfRdcO8/U5wsQSKVS4nT+whe+sCbF1s7cNbIsK9Ojo6O49NJLG1m84jJtIND01J2yK7aBwCZf2lYDAcpRvvGNb8THPvaxkjNlKfwNb3jDqterTQcfPlznfe97n/D49dBAgGo3LAvTGfe1r30tPvjBD9pSU/jxj38s2sikMmkr9EYvzeOPPy4P41ZK5G0EEHj00UeF6rFr165GT93WcqSF8adVFQH2UczPz6+bshIDuJ8cmsae+27Fvul7ccjjxi19PZhxuRDP5fDbc9diW8bA4eS1yId6zCZOFaxr0zAGvbvjXjOUVNPFgFG8AUxTKGryD42MIRTpgMPtlcBxPJUXTXyG3KwGMMArH9ag0NpTyn0upPMi9QkjB8/yDAb6ei2eAUXpTiXjqbLNqjHUlAC1cOJF1nNONStvt7gYHz/OHoGELR1zp1MFiBxKNUnxy4tmYgwyV1OglI+AR/ZXbRyZVm7NBE2q2bi5cWJIGYp1msE5KUn1HImp6MQ5J62JQXKlQZrPoZkscnkHQh5DOPrTM7NYSKXQ29tnAQ5qPnSTtZiI5TQANH+bSk/aXVpPqvUusbKHCEwpXcsAMh5wI+/yCShhME9QQudjNgOT/sMKA6VIPS6Lh4SDFY2s3JfcFys2KthXe+S1ZHMyZUU5WAEjoBsaGsaMEUC8sxMX7O4VB+Kt8dap3FCemM+xjawIrAdv3u6dSgU5fmdtNBDgM5bKb20gUP2KtalBdu/mWraN9rfVXqOJGWg1EKC+/oc+9CG8+93vLjm6s846S3iGpAk1Mqjic/vtt+Ppp58uCbiZxWZTMCsPpOfQdv0Tn/gErr/+enznO99pZNOyzAMPPCDHw4xSrSbmShvcCCDQajMuntdGAAHSgy655JKGr4udBde7ofrnx2fwqxOziD7xT3hJ6m9xU38Pht1uMQv7u5FRHHa9BHf3vFGMvfRgYEXpRdKCGPBTJpShkjXoF648VzCztfyDIJY0G35eqMRCFg4j784A6RhKTlJleYsUkULWl8GbqUKj1SsPTinTp6Ajg/TMKHbacL0un3PKRC5kDNC7bE+nRyoRHGsFAipQVdsiveTQtAoid4qZWCnwaQQIkJ6ynHOg00+ZzspAoBFqfTNAgLKqpOBwr/sSnqq3LZcbW2RVgA3XHizMUzUoJUmOaoNBNoFA+ZAmZpcT6QzBgQUoaJqYWTHSlaPRxSymZhfEWXgg5scQm3rTisBE12sCBNW6XeQ98X4mOCBI8LodmFvOSWM0qxkEW30Rd4mKUYGGlAf6OtxYnByF1+/HrCOMaDiIA7t6cO3+JJLh1tBZCAQo3sDn/0aNzQQC1113nTwzNmrwGcs5XsszvF0R2Kir9Zuzn3ZFYJOv1W8KEOCDh8otlIarNz73uc/hbW97Gx588MGGs89cllkOVh7s6jI/8cQTojDUSvfMVptxcU5brX7EasBvChD49fA8Ou5+F3aM3Y2nfHvwkc5xPO3zwmsY+IuJGK5fPIm7Yn+AY4mrRHd9OUdHVwOTSznMLqlInw2vzJwqiUwVyIlmvqmtz2Sqyrw6MDU+hmQ8ipzLh9l0XqQs+yNOARl2qWpzK3lRbmGD8UAwh4mx5oGA1qPnsdODgLKh6wUErBr9WqGG+xEzMUtDKl9rDAhksZKj43J1IEAtfyvnv9KzpBwIkBuvvQ6qPXuWMnkcmc3CYRjYHV+tu6/X43YI0ng3UG7Tm5kX35KBWr1SqpWiigOCAafLKaZs9QaP8ZGjY/B6/diWCErG/7GxLBYzqvqwPeqC1+UsuBsrNaWiq7BqUDYk808A4XAqmljCNKnzuRzSdzA0n0dKqlEGvEuT6AwHEI5GRUK3rzOCc3d04brTuhFhw8E6j80AAuvBm7c7Dax8UuWOgIffPRs12IfFpMVaqrptILBRV+s3Zz9tILDJ16rVQIDUoD/8wz8Em4atww41iA8fNuJ+8pOfxJ//+Z/XnTF+GXC/n//85/GWt7yl7vJcgM3GfLixmZWZWTuD6kbk25522ml2VrO1bKs1+DcCCHBueR5rKSvXmrT1UlY6OrmIBw5P4cUP3ISBzEH8aW8XHggEJMj7m7EJPITb8XPvBQh7HNKcqmNW6ruPmxxwnTF1OQyTclHMrDLD6nM7TV121WB79OgxBKNJTGQ9EnyRa64lNG3dKCZfnQExxYu6vFkMj4w0XREgsJmkGRUM7I654XYT1KgjWktFwEoL4rZouHaCHHQY2J/wrAI/jQABkcrMAjGfQ2gplYbVwKzavJYDAang6BJOlZUI9J6eVBWNvlBpj0P5KlQ3mlpWvRFJZwrLS3WAAPsuREq08s6dlGQVidP6X6ePHBqGwxdARyggMqZUM3roZFruY3pUXLrVL9WldF65ElPFSahsQmdjZcvASjaHqSVDqlZyDgEXXFKKUjcG/xQVJYcDy/Nz2Bl3Y0t3XBmVzWaxszeGs7Ymcf1pXfATjazjIG2F4g3MlG/UeD4BAUo0kz67FgloDQTYV2c3ybFR13Qt+2lTg+zPXv0nl/1tttewMQOtBgKk7NCg61vf+lbhqNiQy+a4RpuFSS1iXwCzyewBqDeaAQKUzrzgggtkH+TJ2xkbAQRarcHP8221DOpvAhAYmVvBk7/4MYaPH4JvZRQHPd/At03Jyr+cnMZNc/P4O8/rcE/sVRJ4aaUdZkMXVnLImM29+xNeoVQ0Oo4ePY6lQAIut0+UWbZHPabePbO1Wo1H6e4r56vKQ5uX8bj6wy54kMbwcHNAgMHtYXLaKcnpcaAvUhq08Z7kZ5vSuY0O3SOgePfFyJZZ5tFUXqhPrAiUj0aAAIPMpSwNxVBVI78ZIMBjUevVPktSk9iXoUBc9SwtA+uDU6qR3J9LwZNtBAiUGtCVH4nbXVmWVuoI0v+hYMKhY4OYdoQRCgTk/qCM6dRiDo+OpWUZGp6d0VXd30X2S0+C5RwOT7M5W4EQumXL9JiGazzHicU8FlIL8Hk82NUVlGZ6Xt+RVB5nbknizK2duHZfEm6+uE5jM4AAExC8P9eipGP39Ck7S18e9kLY7Wmzuy/r8nRvp9hHGwhUn8U2ELB/h7WBgP05W9c1Wg0EWAm44447xL03FlNull/+8pfx5je/uWH50DPOOEMAwN13393QuX/mM58RrwE7kqLkx59//vkg37Oo4NHQ7vDkk0/KgqeffnpjKzSx1KkABCg7x/l9rlYEZhYz+PGTx/DqH70IHmTwd9EI/kenUnP5L7MZjE7cjC2eBRzpvAJeX0B47My6+9wOcd0dnFVOrD1ht2Sl7YxfHjoJZ4AuvV7siLlBYFFrSBXCpG6o4EzRNsZSeUwxLW4Ae+MuLKebBwJsfmWWnhvbQbMor6KN6LE2IFBsFOb2KP3JLDmz0jvjq4EAKXsul7tms/DgbBaLWVKygL4qgXizQKCRhmE6G08v5YUewz6HWoN9F/MZYHkxhYQjhS0DtWWUi7x9M/Mv/SVmDUA3PpiOxtrNWRs3WY/jxIlBLLg74PAGBajujKqG32emMkLp4Ti324ME5aGqDG6foXsqncMxcR92IOxxSgWLWX+CIVLl5pbzODw+D5fbhWRHUCpoqgmaNDoHLtrTjQt2JHDl7gRY1ViPwfuEPVsbWRFYDyUdu+e+mUCAiby1SHW3KwJ2r/apv/z6fPpP/Xlq2Rm2GghoQzEq6lgNxV7/+teXGIrxwc0gkaVH62Az8IEDBwQ8kGJUPmhMRtoQl2Gpkc3CNBt76UtfWlKFqDeB/PKgmzAf6sxy2hl0OebDjYClVaPVGvw87lb7IRAIsIzeqszZWpSVZpcy+NrDJ/HosQl8fPSPcdA/i1t7ukR7/7rUIj45NoGPGG/CxMD1SHaUqp4wsDkykwVp0V6nQ7jWdkre5Mf/8si4UNL6ov6mFW/kOGZpypVH3OcU/vbyyrLofu/cuRPkxyuOiwomFdvF5MybNA/T3ksqHYPzij/O4HyHaSRVDgQ6OxMIhRqrCOg+CWYwSQ2y8u6H57OYWzGU6k4Fd95GgIA4/GaUcVZ/pHIgSwqfDkSqfVZJDQoFAyUJAbVe7ZIAezOG5gnCFL3JKq8p+yo4mAErWQcOz2akPyCGRezdzmZhQ18eAXZW3r80BjuUXGy1QXpOJbO6ciDgCXZgKh+U6z8QUeZmNIz72XBGeix4D18y4AXlXasNxu2cR1LHxhbVvLAxXjtq6/UeOzqCBSMAeLyI+lwS8PM+nE8r9+F9/TG8+IxevPiM7nV5dPI+Yc8W1XQ2aqxHA63dY2UwToELSmrz3tyoQelu9iewet7saAOBZmfu1F2vDQQ2+dq2Ggjw9Jgxv/XWW6WUGYlEcPPNN4vJmFWdhw6JDOT4Yx3vete7wAw/S6+6omB9nxWHf/7nfxYQsbKyIgHP6173OrznPe+xpf7DY2Qgz34ESpHaGacSEGilHwIDUgKttbhS1rouzQIBSlh+4e4ncNmzn5Qs7ZJ3Dp/sGkLK6cTONHDHmAfJXAp/7fxD+LecK4DTOhgMTZhynwyYyxVvah0zg+FjM1mMjk8h1hHC/u6QLRBh3TaDK5qIMV4l/5tVBQUERrBjx/aGOOR6e5TLPDidlYC0J+iUxtYiuGFQ6lAmgYkEwiFt8uVALptDJptBNptFlr8zWWTMv9nsz8GgVsCA/Ljl93jajQwUVaU/zNecII3I7XKLG/Ho6AhcbjeSiaSiRikeSmF7/HNoTinahH0ODFDasiDaqkU22a/BoJf/V5sofgGZAMkBDJ4YQigYRDxOz4KCQKf5t54hRdeyrp/O5fHMVFpe297hFlCjYn+ljVT+Zceehsm5RTiyyzh/V0/9R04ZOFi9Aht42ThcHbCwItARjWI6H5SsvVRgYgo0sZpBihDRCPscTk/Wpggx/KQPhAAwhX/EeTho4cQNDg1h2gjDFwiIORqrZewHmU+rxvqc4cSO7iheeX4/rt6brD8HdZZoA4E1T2HNDVC1j9KlbSBQfZra1CD792AbCNifs3VdYyOAwLoecIs2xgccm32Z8ejt7bW1F67LwOfMM8+0tZ6dhVutuMNjYVWEbo+tMkYjmGP27LkGBP798TFMPPxN/OnEhzHrdOK1/T0Y9HjEK+D/HV7EJ6Kfgd8fwvLEoNwbViBAPwBWAxjlMeNJGUY7g87B08uGyNbu7wkj0WGvUd26r5MLOelTIABgQMbRLBBgsye53Izu9sRUMygDeGbzVJCflWPWrqb6NX08DNo9bjYXW348HnmNwSOXz+dyogSWzeZwIgWs5PIIObIIO9JihFYIuU2temY+vT4/3G4TRBAomH8TNIwtA6msU5yFB6pVBJjJrsP1PzGkgUDR7Vdgh0X9qdo1fnYqI1n7riD1+Ws3wlJi9tD4AtLpNC7alVyllFRtH1bPiPJl6lU8NBBw+cMYnMvJNbX6Njw1mcHwgkkR6vHWPQfeHwTSrETpxnkCC636xOeW0xfCDFTVKBlwojvskXsglc7j8fEM8nBiR08Ur7lgKy7eWTrndj5LXJbPGCZ16Li7UYPJI34W1iKpafdYydP/6U9/ihtuuKHpxIHdfXJ5ftfRi4IV+GZHuyLQ7Myduuu1gcAmX9s2EFAXgJQkBsD8Eqml6V3pchE88Muc3gitGhsFBFppjNZqINCM18LxqSV84b6jGB4bwRcXbsf7ul24PxiA2zDwtyNjuHB5BR9MfgJI7MXxY8fR09tTAgRIBaGUIikPO6KuhoM53ifkUtN4jOnildlx7O7tQCjYHBAgHYiNvRy9VK0xXY7tAgEVpGdwfCaLVCYPj5FBwp1GPpdFOkOnY1MZhjKTubwAAQIjt0cF/B63B04X3YMrP9pVlr+0P4DHrAPo7pBT6CXcTzaXN8FCFlNT00Kb4b4EPMh7WWQJJrKqj2E668Gi4UbIZaDLl5PjYbWBx+M2KxAetwsOp65EsOqwGrhVAwL1gmyeh6InGWCLwpYqxmL6GcGqy6NDc0inM9g/0LmKVlPpWcL7rB79p1YfhAYCHZEOiMpSWVWAFKGHTtKYDQIoL+6vTRFiny/vA/YGyL3scCLoVqZwBE58boVCISy7I5imkpBhSAUi4HbBcLBXII9fDKfhdLuxszuKP3vhbvTFmjcc2ywgsFZJTbvfG6TcUvJ6o4EAq99LS0vST9fsaAOBZmfu1F2vDQQ2+dq2gYC6AMxU7969W/ilW7dutXVVNgIItFpxhyfMc6c5Tascklm2J+C64oorbM1vowvbBQIMnh/77hdwwcHPYtzRif8dzeGfYiowfNXcVuxcOQNppx8ne64Tqsqxo8dKgIA000qzpOJHkz7T6GCge3wuh3SOxQQDnvlhJJOdTQMBusZSlpIP1D1xdyEQX0mv4OTJ4QI1yGCgL1n4cuqOyvIzqGPGfDTrlyC6O5BHzO+G1wz0XW4PPC63aNcfP3YMnUlSg8IFjXtNuSmZBzMDz19cz+N0SiDPoZPzT02k5W9Seui/UBzqK2J0ZESOJ9nVVbIvtZwhx01XW1YyfM4cevwKICjQwL+zUs3Ik66klC2VoA7N2AgYBKC44HS7sJRahNfnQ0dHROhJbHblOfOzwey39Ry5nUKG3gFMpnIYXcyJBOc+UT8qlh9E8MkkCmlTuadOzmJmOYOeRLxA0al3DykwVv2rU+REq5Q9rECA9+8gm8HLqgJ0HH5sVFGEBsIu7K9DEVLGGIaY6Ek1wakkRek5ceLEEMLhkNCRCFRJy2IPwq5ON2idvZTNC4CgwlA8HMArL9iKl57Z07SSEOmHDFY3siKwHpKa9a55+fsaCNx44412V13T8kyULS8vt4FAjVlsU4Ps32JtIGB/ztZ1jTYQUNPJIHLHjh0iocnfdgYl1fhwZLNxq0arFXd43K02Rms1ELDrtfDg0Wl03vdfcWD8Ljzg9+FPerulOfjl8wt4+xTwZ51fwvaYR1SB5B6xAAFy+6VBOA8ELBnQRq//9HIeYylm2BWNZWb0BDoTzQIBA4enVYBL6cquAFSgn8liZWUZc/ML8Pt86rWcAgv8R9F2PEKvYUbf5fLIb9JrxpdUDLsnrhp7GTCXm1ZRNUgds+4RqH/2kp0X6dBi1yvnUmvwb4u6Eaqgu8oeAa7blazevzOykMWsNBwDW6tk49mompOqR07oR/xNsKD+JhDKYTG1KH0JHLqvQU2ZQ46BoLDY38C/VeWBP2nDiaEUdf+d2N9JgFH9K47h/MnxGQzOZhCNx8WIjP0lq8J8UQOyQAozyOdy8lMBGCifhtUcKCsQ4DnR5IueAV6XagjX48mJjKKGATi/x4t4DZqTbhzmsuxRmaXBgKGuwczYsAAB9ndZTeNo+hb0usT4jmeXEXRm4JK9/bhwZwIXbm+OIsTnJOkr7DnbqLEZQGBqakpU8VgR2MhBIMBevPPOO6/p3RKQs1rEaqIdUYWmd7jBK7aBgP0JbwMB+3O2rmu0gYCaTqrysBJAGdFdu3bZmmN+EbBc2mog0ErFHZ4w/RAYzLTKIZka36yeXHnllbbmt9GF7QCBwbEpPPrkM/jlsXG8bfrtuKm/E1MuF3amc/jayZOYRC/e3/1pJIIehDwOCeisQGBiMQdmTpkR3tZhr0FY9xVwXdIoCAQGB9l4awUCFplIcwJ0MMigNZNRGfx0JoOVdBZH5xVXO+FcgsepAkCPSYtZSacRi0Ylo63oO8zoV1c2GpxTevxUkNwScammWMOMRi0Xo1kgQOqKphhxc5yPg9MZCR4pHVqp2boxIJCTikDADRBQVBrS4FrnhiKdJRgMIR6PCVAz2BeRU9USAoOcUJIUNUn3OPCaSKN0Po+RTEDOr9ubkYZhfqbY9CwN0ARfZpWBr8/Pp3BkLodovBOdfqX0VG+U04O4L6FiOSQZL4P7Ui7WhoBb+W2awEWjUUQiyiulIBFrVgUoEcthpQj5XQ5cVIcipBuHuc+jszmk81QHAryLY4h1hOX+U/d9Rkz3SItjv4DP45B7i9drPp3HQtaBy/YP4AX7uzDQBEWIlVM+YzYSCKyHtn69a17+PqlIP//5zzccCPA7gjTYNhCofsXaQMDu3Vyrvml/W+01mpiBNhBQk8ZMUn9/P2gsRjlSO4NAgDKA55xzjp3VbC3ban49D6bVxmjPFSCwuJxG8CtXIbI0hEW48ea+JH7h9yKYz+PSiVfgRO48OL0h+P0+CegYQDEYmp8cwUB3AqGAT4IdZrM6vPYdgKkhv0gTWsPA7rjKGktQ3dkpfGoabalAn7QWZvapwpOT3xkze62CPTbLurGY92A+7xZqy+6YCx6v4nVTQYbZu5PDw9ixbZv8v94oqAVJr4FTeg1K6C+WDTQLBMqzP+SJS8O10JpIPVqdH2oECIymcphZNuB3G4Vm6fLzrUhdKlvICgRWr180d6s0l6TkPD2RRjafQ8LLXgFVcRCakoAFE1Dw75xq1p3NsbfBI3SigWCu0M+gri97HBSIIJgggGOfQ62GYX1cyvugFPZYKwLai+LINGVDDYS95Pa7C9umL8LjY8r4bEuHC/s6q6sIybyaJSOa2vF65h0OzE1Poyvih8MXlD4CHs3UYh5ZwwALbds7nOiNeEEnbs7FsbksOkJBXLSnFzec0YMASxU2BoEAA/NrrrnGxlprW5T7W6u2vt0jIBB4+OGHRT50Iwe/IzKZDM4999ymd9uuCDQ9dafsiu2KwCZf2jYQUBeAQWpPT4+UW+1mxKkaQUm1tTwc690GGwEEWm2MRsdnlu1bVRFoxHSNwca9z0ziyu+/FPH0SXwmFsWX4lGZ/v8+NoH+zH58Mv4+MQRLZQwxCpNsuBOYnJhCJBxBKq+kND00joq6EfA4hVqhG2QZbgsH3Yw6JTFr0jgonXiCWvP5POLeHEJOpaAzNzcrFBPN4efxOB1Oyd67PCqLL/x8rcLjYR8AnVodODS1Ivrv5Nb3hUsDJ7tAgDxvBtRWWlC15tNmgAD59hbavMw71WOOzykgUFF/nz0CDVCD2CNBUzI6M1tpLvU+W+Xv1wICtfj3ejtswuV9E6sDEnlPTE1OYnZxBfPumGTwe/x5+Byq6qB7HBSAoCxsMahnkK8kVhUtSQCDWWkoNkZTepWvFwEgK0/RWAxsFtaD13yE1xyG9JdoxR++/8RYBuPLar8X9PmKfTCq2FBw1ib3nxn/pUxeQAWlSNkrkVpcREfAg+6OoAT6BB/EefSM4HXqCjpFUpTu1aReiTP2bBanb03i/B1JXGNTUnQzgMB6aOvbvUepUkSPHToLb+QgfZQAdi1JrzYQ2Mgr9puxrzYQ2OTr1AYC6gIww5JMJkWJwa5D8EYAgVbz6zkHGwEE2Mh31VVXteSurwsEjDxOPnYPnhyex/TxX+O89N/hlr4eyVxekwrhz6Zy+H7gJRjpvbaQlWaGnKZaBAXHTo7DFYwglWWART6+U0AAu2sZ1DHGpdIKmyHdzjycRg6OfBaGZPWzSGezOJGi6kseLkceXZ6MCuw9bqwsLyMQCCIYCoryDl9joF+TQ0vpRsPAs1NZAR79ERciJrVDT7BdIEBaEN15QyYtSABJlebTwRNmFcNGjwDpSeWGXjTiYpWEJ3FaorIjb6NAgL0XdPalO3PFUbvPVlapBQQqZdnL9zOykMMMKUoupatfa0xNT2N5aQnLwW5k8g6RPq1mhsZqg6Im5WDk6c+gexzYCM2/SV1SdCXeY/ra8bdWT8qkM+Kv4g8EwHNhRclwOnF8nn0gDvSE3EgEi2CSFKEHT2aQyUMoWxf1epA1HKB5NQN+VnPY8M77ULCv2YDCoH9mKY/xuQV4KUDQHRQqEKlSBJYyR8t5AQdUEQr6XMTGMtj4Prlk4NL9A7h8TxJ7uxtX0uK14/P46quvbskzptJGn09AgBLTvGZrocG2gcCG3Zq/MTtqA4FNvlRtIGB++UxPCzWDpmd2ZUCpOETL97XwJuvdBqxYsATdKsUd7r/VxmisCGwmEFh57FtI/uBWmeoFhwOvHujDkMeN7eks9i69A+OuHeIDYFX/UcGNCl6OHDmKBV8CKw6vBFodnjyWM0qFRxRp9A//b3I3mI2liZXP7UTacCHjcMNDqdGYG2GfosFw2wQx8c64KPA0OijdOJnKYnRRKdns6SyqBRWAgFYNaoAaxKwuTcS4LU0L4naq6ecLEIgrOlOjgwCn3PBqekkp7bgcDuwVpZ3VoxEgQE8GBpA+lwouqw1R7KnxzbPWigDByOhCDk6HYSoHVZ8dDQT88V6MLalIeF+F61i+BWbWa7kMayUlejWIapL5Q7UZAgHVZ6AAA8HDZMaDpbwTThCgZgGnBwZvMIcbczkXhpbcMOAUKlxXSFUjXA6WweQOUT0IdNZ2AcTGBGP8/fTQJII0Z4sExWRNt5rw83F4Wrtxs4Kjmq015YkyrG6PFxfv6xfX4Wig8n1RPi+bAQTWQ1u/0c+PXo7P0l/+8pe4/vrr7a66puXpPs/RBgLVp7HdI2D/FmsDAftztq5rtIGAmk4G8myiu++++2wH9HTLpcHLWrSV613UVvPruf9WAwGWs8kxbVW2jg3fpAZcfPHFq6aTQe7DD96L6++/Sd57X7IT346ExS/gf50cxc+8t+CBjhulaZEUBdIw6IhLPiz5+uR2j83MYzoXOOmCKgAAIABJREFUkOxr3J1GwMlmYSfgcgMuL/IOF/JON3IOF3KMkBzU01eBEvc/wUDPACJeB9iUqTVdSJWYmZ5ENBxGJOQXagZdWOU31X3M/5dUB0yaBSk1rFgw01pJt17Lh27ftq2iZr51oirRgpj9q1aVWC8gwMbriaWckpWMNw8EVAM33YMNcVZudtTuEVjFbFq1G6WOo2Q593aWUm3KF9ZAoLu3D8/SyRkOoXfVl6Itbbiuda66isHq1tHBEwhFovAFw3JPks5DwZ6FdE7oQQSzMS/gArP1CtwSuI0uAYs5Rv0GkmxIZ6BP2VtnXlS1/C4nAl5S5NjTwAZp1bMyNDGDeUcYwVAIvWFWG4Q4J+CXjcq8f7l9NklTblRpCKnPCylW27pjOH9nF64/rbumApM+fz4DmJhp1TOm0jw/34AAnwd2k2XWeWtXBJp9Mp2667WBwCZf2zYQUBeAbonhcBj33nuv7YB+I4BAq7PpnINWOyRvFhBwTB3G8GN348k5L7Yf+98YdT+Fd/QoGcprF7bjirle/JvrekR9zFZrPX3FWaf2iebpM0vp9AUR8Hok40yaSyVDKv2RZjBD+gSpE2I0lVadAnHxG1AqL+oB6MD0zJTIcGqnXp0ZVaQjtRQBA6sJBAlet0PMtoYWlBRfd1BVMphVJyWcyxKEZDJp8RFoBAiUqwXJkVl18sueVU0BgQqNruxJIB0k4HZWpdI0UhFQgII69QZ2xasDgXoNwwwmQ6GwqAZVHrW3wID7mSl1/2yNOBEuo2tZt6mBAIUKFC3LUVP1iOsym05lUFJpMqQL5UnNUfQcvq7+X3ydyzPY53uUnST9LBDwS8CthuhCiZwtl/G7FO1NgVCqT9GXII+nplSDfE/QiTMSTtNlWkmvFtSTTNoSzefUa1lMZb1Yhkf8Mvp8GXi1M7Tbham0B0uGU5rbd8epIuQlF02qA6TjnVzI46I9fbh4VxLnblG9PLUGrx2fx62iH1ba93qYbNU7r/L3mRhidv66666zu+qalqe8Nq/NmWee2fR2NBCwOrQ3vbHn4IrtioD9i9IGAvbnbF3XaAMBNZ2U/2QJ+5577sGFF15oa44p68kv2LXYrtfb4akABNiHQY5pqxQ9rBUBZrKZzae/Q+zrL0do7qBM8aTTiVds6cOMy4WzlnOYGX4vHC4fugIGYj4XPNTTNxtydaDPYJiKJ784PIpwuAPbO/1lple1r94S+wvmFOWmL0x6BdVcVHAmWdk8cHJkFIFwBB5fQF5T76ntat1/CdzMJyZDt5UMMM0uYcMhTZfSE6rLDOZypH3MzcygO5kQkybVrMmMLEDmh/6b2evj8/QYcKA35FBqQdL3oDLPmiJlPdNmgAANxYoBqNoa+wPm0nmEPc6qbryNAIHJpRzGF/Min0pN/mqjESDApAC17yuNRhqGD05lkDWA7gCdkp0yhwyyeXkkiDd/pmdmsLS8jO7uHrBXgjQvvkdjNQbdvE8kyNfBvW7QlWZyvl5asdH3ir4PSMXh30rrH5icmhQgEA4EpNJE+o7+PZ8x5BhcDgP7O5Xfg3UcnMpicEHdIxf2easCHAGPJuGflLdAKIIxqaQZCLjy4vqspVhXsjkMpggqcgg70ggaK3KfiuSpw4H5vBc5pw9nb4vj8m1h9EYDQm0iYOZv/Tc/q5yv5wsQYM8Yn6UbDQRIR2JfSRsIVH/mt4FAvWhm9fttIGB/ztZ1jTYQUNNJbWR+ufzgBz/AJZdcYmuO7Tra2tq4uXCrs+ncTasdktcbCDDjSADHYJ+/OUekeDHTxNckI5kHdhy6Excs3CMz+a6uBP6/cAiBfB5fG5rER2NfgsMbrGpApa/V0FwOgyMTiHZEcFp3wJYRjmR6M8zm50XNRqsLWe8DBjCxeKykR4DBI4NADRj4mxngPJzSKEqqUSprwAWHBJsl/lEmZiC9aXZ2BolEEhLaW5+4ZmDK1xbTeVFyoalTV4CAQS0oAaQJLnQzKN9iiDg1NYlIOIyAXxkDcVkuI7+tfwsVhMBDlSlUeKlrIcBwSqnsRDxKR78IfIozNDExLq7Eyc5E4UV9KrpBVTeZuh1GoVlYy79yJWW+VTwnreZkfY9/U6ErEAwiEonIvvR6+m82cbOJluvr7LwO8NVrwPhiVhpqmV3vYAWozNtL13moqkNZ2CirD6TgLOZlUYLFkFdBJr1ssUpknojlPa3Go8Gd+q2UrKSSRE6/Exg5OYhEPI5oR1E1SE8oaUKHRMbVQJ8pHWu9R3nODwxlQCgQ9zlwbo+v6qOM+6R0KYEAKZdZbxhjKZ4bPQNcJSBCN1c7pHHYJbQk+jSI2Vue9KEcOgJe7OsO4UCXA0YuI89rNsJrPwpR8TLBAKsQ3d3dFQGDBg/Maq/XWA+TLbvHQiBABZ8XvvCFdldd0/IEApznM844o+nttCsCTU/dKbtiGwhs8qVtAwF1ARg0MtPxve99D5dddpmtq9IGAo1NF6smLGc3WhHgFwYDeh3ol/9mxp+D102XmbkMDeECgYC89sxkBo8//RTe+tircU8wgNtNStCViwcQy7wAJ1xbFM2ngna9PiuaH5HzPTExiZ3dEfTFgo2dMCBuqsfJF4eBrR2uiq653FglIFBtJ8ziswH04EwObBNOBJyiyKKBg9BDzCB1aSWDkdEx9Pb1SRAmr5dTSQxgclHJPrLZU1GXVABaNMZd/ajm9aRrrKYzlVQjJHo1w1hDae8LkFDi9YXt84/JRRpxGVIRoJa9DFmVaEKhFQI80rCYqV8l/GMCmsVsHvNptrQC3VS+qfLtUgJumL0uKr3KKmyo9Xl9kjkvH7oqo6ok1tpCaZ2BxmaktpBew2tjHVZMkFpMCRCIR2MyXVyPVDJeh/4we0xoZqeCegIpTfliFl8F/5WrNZXuHc7f0WPHEI/HC4Zi5csp0KqkPbd3rA6Wyds/PMP7GTi/1yInWrYhXRXQQICg6ugcr7M6B1K3NNjUTeq8EJ1+h4BB6WswJ4rVuGOzGZy9owcX7Ejg8t0KDPIaiKmeCQr4mwEyEwK9vb3yuvU9LqsHgYCuKlirC+XVBv5fA4xqn8fNAAIEq9zvtdde2/CzaD0WpOEm58uusp51320gsB5X4tTaRhsIbPL1bAMBdQH4cGJA+d3vfte2zr0dR9tmL/d6Z9MrHQdViRhIr0URotb5MXAkx1S7fvKLnF/U1qy+9W9m/DgYwDCo18F9+W9+UXOwUZiBh67opFay+M6vRvGi+1+LeO4IXjnQhzG3GzsyYUSW/xtcDqeoBEXNwLfasQ8v5DG/ksP05CTO7O9AuEKAWG1dBk5k7zBLvSvGwKryI69RIKACLOq1Gzg2n5MgdlfULQ2blQbnd+jkSWzfvk3kSCsNXodnpwkqDCT8yiSNYEJ45QTJwi83+ecWWsvY+DiCoTB8fr9QVITuYiarNfWFwZzKqKtwO2dyVXSVgS8z+OVy0nSqz6Msg764tCjHz31VGyJnmWFgbNSmblmwhqpcqJBeVzFSKSV5yXtOz2pJlUMAjQJJDGa5DINbrq8DdVY4ZlYUKNnRQQ68cqcm557r8TT5f4oMrKwsob+vX05LpFRTihO2t0zTv9J5c//lpmHV5oefoyNHj6GzszoQkP0v0Ogsj90xtxh9lQdxPz2ZQdqg1KkDF/RWrwrwPJkkYUWgo6ND6HU04uNEEbxaXZTFA0JUk5SXAcEPfRF0FWRqKYfpFeDS/f24el83diQqg3E+i/lTyauEz3grMKj1N9+zVht0JcEKFDSAYFDObfO5qRSZ6hv3Nfs9oNfbLCBA7wJ+LtpAoPoVbFOD7N/dbSBgf87WdY02ECgCAT7Y77rrLtuKE3X169fhiv2mAgHN02eATyDAYJ0yrTrTrzXl+eVSHuzrgJ9frjX19M355bYZBFx66aXyyk+PTOPuJ4bx2iN/iW9FjuH/dIThMQzcPrEP9wTfKlnPSko71stFusRRuqQyMJ4dw86eeMVMcaVLTKOswXmlHlOrGsB1GwUCkinNKS789IohgSfdiTUHnaEUM/7qt4HldAbDo2Pok4oAxSHNgN0M6BnAL+cMjJGbnmf2WgWsepS1HMjLmrrD60npUJ+Pwbk1r14+GypbrjLAxSZpvW1SQxjwRf0OBElaLzJfTMcqYFYqAi6pQMj75i6seGEpbWAuTc68UagIFOsPagX9fy1jWawuqGPkfcbz4rOAPUOFqobeqT75KlQf/TLvG6USZUj/hnVO9ezwTBeXUshlMkjEY4XqC4EnjyMZdAig4XKcO5NZVQAgAij4j5E36Vj1v06PH1cytRGLoVhJoG8oCVlej04/Db9WVwVoiPfslNL3Oavbja5g5cZsHhr7p9hrQSDAIY3hpKARwMY8BQCrHa25X5r59YZVj4T0CkhfhIET8zmhoVFS9GVn9cJLVFU2+Pnn83itMsu6x0hXFWqBBj7bNGjg4TChVKmyUKkCwWUbebaVn+fw8LCIO+ikyjp8xTS0CQIBPpdPO+20hpavtFC7ItD01J2yK9Z/cp2yp/7cOLE2EFDXgQ8nfvF/4xvfsP1w3QggUJ5Nb8Xdc/DgQcnO26kIMCitRt3h67ocz6w9fxYXF7F9+/aS7D6/INcji2YFApOpNO796c9w8NggDN9BfDvw7zJlfzyzhJ+7PgvD4cbOOBsiaz+CxlN5MBvJxTzzw+hOJhsGAnRITWcpZwnJrpZw+MsuoBUI6KCezabMxpM6oXoFVBDPIJNqKqTTMINOEzHrthUNxyExLOefWedkolNJnZrDSq+ZT+exkDUpNaQYmcuUkl1KD5jbnp6aRogKNNIjwL6BYpCv+wV0ll1n3tloa+0/4D44T3yfjbWUVa00CISpXR+LxeXtSsETz4MUJwIBGnlVu7KioU8TON0jwWqHnhcDGBsfg98fQCgcKSyjqxq6X4D7J9CS/5vApfjbkPeGmdk3gHjAKUZzGiwVjou9GamUNLXr8+JhsOmZDeSskMR9lKFVByfZcbOyYr5Scq0UfUhVGqTiYGkIZ8ysegROojMeR6wjXDUAZbBOKVnSjnbHVEBuHXxW/mwki6UcEHQ5cPFA9arAiePH0BGLFpyMxT9gJid9Brx3ST/S21eqT0qulOCW1Qg+F/S9zd/PTK7g/N19uHxPN87bulpFaL2AgJ3nK7n6/Jzt27evZsXBCib09nnu9ahJ1vf1c5LPOvZ0bTQQeOSRRwT879+/384Urbp/eN5t1aCmp/CUW7ENBDb5kraBQBEIkH/81a9+1bYSQy39+vW6vOQts1GrlQ9+AgEG6lb7eH7pk6Kjg30rdYev8cuNg5zbatQdvs73eQ7kmLaK18osGakIrAj8+j+/iUseug3sIvh/Bnpx0OvF3nQaXx8awdfDf4BHu14uyji1RjZn4IhZDSCVYXFiCMlEY0CAQemQrgZEXPB7GDgq7n4xsFeqLwz4R8cm4A+F4PGSZmMR/7E8IRnAMkji+qwIcBSDTBVnliWqxSyKqkFdyQRc1Hc36SzW7PLoQh5kT0c8EKoUA3qyGxhMWvsEisG9OqjBEycQj8WEt9/IEHBi6RHgOgwMn55UikpSNakCBKgaxHsomVSyr5UGKUbDqRychoF9VRyKuR6DYq3IVGk7Q0OUDw2VBOfly1FRh82ztcYzUxm55t0hldm3qgVpqtXUzByWV1bkvPRrDMJJK2LMz6ZdZsXVuqbykOUiy/UpF4uy3DMC+Cz3hVINCsPv85cABd2HQGCcNQyMLLAlPS9N9MzQl1c0SOV5YkL5HuxPuKu6IZ8YPI6OaEcBCHC+FP0oL9UWq2cCz4/KRDxX0tPolM3BJnHeiHyfpnHLeRcuP20LXnpWL8Is61kGP//0gbj88ssbuSXXZRkCASZErM/NWhvW1QY+V8v7GCr9n9vWg8kUVhs4+PwdGBgoUU+yKinx89JMtaHWsT/88MPyeW8Dgeqz1KYG2f9YtYGA/Tlb1zXaQEBNJwNeclnvvPNOvPjFL7Y1x/zi4U8lIytbG6qxcKuCaP2lxACfX6IEApwHHfhrZQ6dwbEG+9a/GylxMzPN0nIrgQCpCFtPPw+/+PH/xeuevg3/qyOCjydUFvnOk6O4YGUF9wRfip9s+5O6l4bZZTaycjBDOXRisCoQYJDCLC6z9emcIUon5EQzSKOijw48dQ9tgaJi0lWmZ6bhZ4Oz0GxUZMcwU3PXGZSLCzFlQ7MGpsg/dwA7o6qqofnqpfQRSCMqs4fbqhiKEYiwP4BJ3z4zYNUTw8y9dkiuNFl2gQDvNaXWUnzsE9Q8a2ru0205UKXXoREgoPj1OVB9Zn8NIMCgluddbawXECCIZH8IKTZWPrx1v1NT0/JZ6+/vK7zM++eQeU22VWgwL9DATHoXzyRNh+AyoCnVJO0nYNLFpiYnEY6ETTqX2ZOt+7otBzaeouIWXZodpj+FcgrmPSi/nQ48OZnBco7KSA5cNlCZG39cmpNjBQUmvYvBuRz40eLng43DujLHagjVhYiCaArno1cfqwJmMSQnykYZ7BvowmV7uwuNw3q7mwEEKOPJ749GgUDdB0/ZAroh2goS2BDNKlkymSyACf1+4fPrdNakKFnpS/U8UfQ2CQTY+M3qR7ODc8XKRkFkoNkNPUfXawMB+xemDQTsz9m6rtEGAmo6+XCimsaXv/xl3HjjjbbmmCCAVQG7sqN2dsIgmmXZZuTi+EVSnsm3/l/z9HUGiV8umq+vg30+tNeaXVrLOTQyV6wIHD58CBlvGPc9O4nr5r6M/5Y8ggWnE+cvJ3Dm4m/DjRxWus8F3AHVZFnlCURqx8HpjCjX0KiLgdyR44PoiHbC4w9IsF8I/E36Do+Rm6Ns5MyKCmYIAkhxkLDTEntq2oZQNshLnxxHNEJn4aBkrPma+q2oHrpJmJsR6kYa8LkgcqS1BoODWkCAlQtmZxlc7o1TraU4IVZ1nbUDAeVMJtldy6SroFdJVlo54+X7swMEuJ/TWg4ElPttrcGKEFWMIl7lC1BpVAICXI5zwsZqZuN7QrWlLhttGCaoO3LsOGKdSfgCIdOfoChRqz0LeF6srsyuGAKqWCViJUfdGUXC2MKK2QMDKv04xTlYgwRxHnY6MDY8hO5OUoNKq0YEzKI+5FTN6f0RdR/zGA9NZaUKwpd6I8rPgv0hGpSyYjK5bODKM7bhxWd0IxkuUpOYCOD9vpEVAQIBfn7sUCobeZ7VvLeGhnDo0KFV/WxagKG8smCtPlgpSvrZz30RDJT7M1grDPybfQns+VhrRaANBNZ6B5xa67eBwCZfzzYQKAKBRCKBL3zhC3jZy15m66qUN6naWrnBhWdnZ8FsTCUgoGU2q6nvWHn6tdR3+CU6Pz+Pc889t8GjsrdYrXOwt6XKS48MDyP2rdega+mwLPC+ZCe+HQkjKJ4Bs7ij47MIhiJIWhogVeBLNRvF9pYv0hwwupCTgJtUHso/MuabEE58CH6fdxV+4NpCFDEMTC+z6RTiELs17IbbVVSJ0cF9Oag6MTQklRjq8lcaNPbKmmUFKq8QZzQSJNYDAiOpHObSEDfeHVF72up2KgJSXcivBgKsmhyZIYHLgb2dxcxwM0BgfiWPoZRqzq4FBIT+ssaKQL1qCY9flHCWDfhdRV+D8vOanJwS6p21IqDXpUoOCyRU0ak1GKLnjdo0Jb0+M+Z8zrF5txaOIUAjEGbw3Rt0irFcJqd8LDQA5u14fI4eEEoJaU/cJZleDRX4kWLWmjKsQZ9fsvusHrA3gD/S07FE7woHttNbgMiWn7PFrHz2uD6VtgpKUmaPC4+JDfz9yRgu2dOD60/vLkwPn2FMCNiVgF7L84eSyPw8n3XWWWvZjK1118M4TeSGc7lVfQ1WoGAFEFqumQfKpFElJaVaZm/6BNsVAVuX+nmxcBsIbPJlbgMBdQH4UOzq6sKnP/1p/PZv/7atq9JqIMBjYymYXzhUayjX1rfKbFaj7hAAkL5Taxw+fFj02s877zxb59/owhoIkBq01upCpX0OnjiJrv/zCnRlT+JRnxdv6O+Vxd4xOY2b51L4i+TnEOnsKzH0YmaSwSiVc5jJpwQl6QdjizkJlKhiw14CtoVOikpOGAGft0iREKqEQ3TfSZugbwCpDQxWJLhhI28DMVo9IMAGWMZ63O4zpI2A/GpnXYfjNKlBQ0NVqUHMPLNHgfrtVLexDgZiZX2iJe/bAwKch/yqikAqk8fgrJJBJde8ktkad9pIRUD6MqhAlDdwerK6s/B6UIOUSJK15Xr1HTm9nJeAlkHyvs7Knz0CAQZefX3qXtWDWv6kl/EasNG8mjysXt6qWlPr86iBAA3FtE5/teUPTWeE0hYntamCehD3yXN8ZFTx+nn/sCrAz5QGDDy/UCiAoN9vOkkI3JaAn3UyVrY4Qh6HNCYz6GdQcGhGUZP4OntHOFxOlwnYAd43J+ZyuOKMbbh2fxe2dSo50ecLEKBABc/1qquuavTxu+blpEn8Zz+THoGenp66UqzWe7LcBZryo1pJas0H9hzbQJsaZP+CtIGA/Tlb1zXaQEBNJx9aNKH5m7/5G/zO7/yOrTlmBooP5WazUJqnX66+ozP8fF0/VKtJbBIA1DO+qXdSR44cEYWZ888/v96iTb1PkPHzn/9cegRaAQR++NgR/PKBH+AvF+7ALX0J/MrvQ2c+ihunX4opZz/S4a0IeB2iwa8DfwYtEnyaTrgM7VYyeQlwmAVlEMJg3ut0YHRkSGQeY2U0B2swRroDA5igB9gSUVSbRoAAtf75xVipIqCy6QpN0KSKMorUBWIGtp7qkQYCW7duE9Ud6xBazoxq1CUXPegpPo5rKQbpbdgBAkr2dDUQkCw+m6odqJnFbwQILKTzOGECgdMS1WUZOQ3kz1cbjfQIcN161Ck5njkKtrJnQZmDlY9qQEB7OxiGAmhsVq81eCy1+h70uhoIMJijilQtcpNIfS7npVpEvn618fh4BhNLqmfl0n5vQdaT53D02HFE4p3wB8JYyuSwJF4PyjeCs7GSBaZZ3nIot2L2JJBKRyBBYMeKCEEUm8ilMdpJ4zx1JMdnM+gIh3HJvj685Mwe+azxGUaN/Wafxc082OiNwuPayIoAgQCvZSW/hGbOodF1HnroIako7d69u+YqVrO3StKr7DFoVGSg0WN7rizXBgL2r0QbCNifs3Vdow0E1HTywdXf34+PfexjeNWrXmVrjvnFw2x6LV4qS7DVqDsM9LUyBDMnldR3SO9hRYCqQeshtVnpBDcKCKz3ObgPfg++770T+ZUFCTB+FPTgnT1JOcXXzJ6Nh7K3SJAU9ZnSlaYJlL7ujCsYgDAbyQzk1FJWAhSv2wE2sOpxYvCEcmWVIMrk7RcMs/KYWTYkA8ysPWk2itKgudW1bykBApHIqqZKCTgJJszIlfKK5Edz02xgrjdqAQEGefQPYGaW/QFWcFYvyOV+7QABmoFVqgiI0s+CzppXz+I3DAQIkoQaVAMI0IRLR5MVJrBRICDgpgbKK/Y/ADutFBfLPqsBAS5CgJTKkE4DkUOtNZoBAqR31AIPAmRkPvPYU8N9m1Wwh4YzAk4Jfk9LUtWGFSxDDMwSiU6EwxETOKl+FNKLVCUO4tpNehH7YQh42I8gVdDFvDQ7+5wObIu6pJcg6ncXwAurd4enM7h03xZcua8Lp/VGBAjQXVh7idT7fKzH+wQCnMszzzxzPTbX0DY2QyaVB/bggw9K5Zzu7c0OftdpZ+dmt/FcXq8NBOxfnTYQsD9n67pGGwgUgcDWrVvxwQ9+EL/7u79ra44JBNi4xUx6NU19za8kPae8EVcH/nxdqaqsHuTusyx7zTXXVF3G1kFXWJhVDfoVHDhwYK2bqri+rgisNxDw/uSv4fvp/5R9km3+yi19OObx4JKlZbxy/Ax8yvMWRP0u4ewz6CeVh+o0iqsM+V3I1lLOckpx1pNBpzT76qGBQMg0tSo5SYN6+DlpIo74GBC5JbARZ13zZ7W4Z3EL1YCAmCpZgk0alDFoCrPBMlyf018LCDDIY4UhZFYvrOdTL2vOZe0AAXUeq3sE6NEwvkTNenLM1wYEhGY0p8ywatGM6lGDyL+mcZlV27/SDV2v14DB7FOURnWwWdgpfg/loxYQKMhsAtgnbrvVvy7tAIFkMiEUN0JUMXqu0jFPQEtFJ35mekIOJIhIzMoZT0pVKRVl7dcTGYwuKmOzywe8oLwqx7HjR5HoTCgg4FSiDOVDSe2qpuXuoFO2QZDA/oqJJapAAV0hpzTQ83A7Ak5EPPSccCiFIbcXl+0fwMvO6sHQ4DGMjY1tKBCgrDOrsWeccUZLnpuVNrpZQOCnP/0puru720CgxpVuAwH7H4M2ELA/Z+u6RhsIFIEAja7+6q/+Cq95zWtWzbFWY6iU1U+ZpkBcidn6Wg25/MJoZpwKQKBV5zA9NYHwv7wcncvH8fVIGB9OdsoUXzd+PQ5mXwCH248dMVJfnBL0V6PTMACZXsoqIyg4sLuMelMLCDArOjgrfr7YFnEh4OF+nGWZZ1VFYDulcrZVBByGU+wRoCxfJBwpuT1I58lllYSp0EVmFC2IAVPcX5suwnWqAYEC9QQMvhyrtrXeFQGdxi1XDaKJ1ORyXsBZLfpJIxUBXgPFqycVp3q/Qb1zaxwI1PcSoEsvizldQUcJqNQXuRYQ0NKuvFP6w6pXpdZopE+AdBINBLgtxbtnVYjeEaVfx9ze4GwWC5k8aB6sufqVjoEu2g8NU/0J2NPpxlZTBcgKBJTyVWWlriMzOWQMR0n1QzwmprJgv4TbYcg9QkDpdClfBc4Gj4uSoxfv6cMV+3oQy05hfHy8pQpu5ee/GUBgM2RSed4EAuwP2LlzZzNfY7JOuyLQ9NSdsiu2gcAmX9o2ECgCAfIeb7rpJnnQsWGWUmpWnr7OZjHQtwb7zPazKkD5UFJ7WsF/X1hYAPmZV199dd2m32ZvKX65sCnOvDJ5AAAgAElEQVT5ggsuaHYTNddrFRC4+z/+Hdc89hfwYRYv3dKPSbcLHSvnIT5/kzifUqe8mlGV9YAZBx2dyUjTMA3AygOfocETiMXjqFQRII1jMc1gxVTfIQe6jmuxdd9DQ+wRIDWoo0A7ksDJoISjSsOyt+HIrAq2CGyowFKD4SLLVQMC0oxq0j7YjEpedvlc1FHHlIoApQSrKR2VbNDkdZcDASrrkKIkLrM16C+NAwFVESCvvFoGfb2AQCPKQcdms0J/ifmYVV9dwaGqTjqdWdUsrOeOtBl6EYQ9jqoSpMV5puqVApualKYy/sWc/5GjR9CVTEpFQO4tKg7V6BSQhmfSxygv21m5z0Hv/5GRDOYyQMAFXNKvJD0FCCSSCIeUGpbTQVO01Z0JqvqhPLF3RJ0C2jmkT4GeGaTbdTixkAHm0nks5XRfD9WHCJSdePkF23FWZAVLc1MbCgRoksjn/kZWBDZDJpXX44EHHkBfXx927NjR9HdEGwg0PXWn7IptILDJl/b5DAT+8R//EXfddZfwSvlDVRsOBjcf/vCHhSJD2o6Vs09wUM7RZymadu+tbNw6FYCAPof1pDc9MjiLzHf/AtenvosvxjrwuXgMbsPAgYXbkHbsEurPto76XHoGhyvZnGnk5EBPhQxsNSDA5mAxgDIMya7Td4BBYm2V+dIPPoFApCNc4sDK+yxvcRVVnH4lTVrK6edrZuhnpXo4gEw6ixNDg9i+dbup2KOoSmOLWUwvGXA5jIZ6DSo9ppg5jzYABISCYgZ/5UBgZIHypXmhatHFttpoBAgsZfI4ZlYEakmRMsSsJeTUaEWgkYbqk6aXAJvHK2XUKwEBfQn5e2qJClZ5ueb7O91m1l7NJ9+XIF6oZ8q8rl7D8FGzIqADcwEJ0oBb+W5lM/1B6v3DwNYIG+erf2XT7frxcQVUz+n2IBFwrQICZD6yabx8cP9HZvNSFaBA0TYTFNI8Tze0b7HQq+ixQK+OuRUDi5kc2DuzrasDVw54sSuw1FJzx/JjJxDg9wKVcDZqbIY6Es/t/vvvl166tQIBUmS1Q/JGzdlG7adNDbI/020gYH/O1nWNjQICTz31FG699VZ5kJACcfPNN0uwXe9hwAcOM9Xlg5l6ZuX1oIQnt//9739f+Jps+P3kJz9ZU6LsH/7hH8CyLsuc/Lntttvwtre9DW9605tszTFL0Ty/Vkq5kX7ERi3uo1l6Ub2TIu+UoObCCy+st2hT7683mFnJ5vGZHx3G0MFf4W+WbscNW/uRcjpxXnovjJW3SpPj9pinqlut9SQIBMZTWVE/4dhTIfupgEAMoTKtfzY1Ti3RQCyvtNQdDuWGWi9dbzmARoDAyYUc5jOkQ6yuVlS7IKxWMbCls7C1/4QUGvYadHgN9IWUyVdR1MaiHlR4UROZVHqZvO3jJwYRj8XEqbaIejQAYnZaHZXKwKtGCRpDmXLw8j4rKQsZw8x4rxEIZKkvz/4O1PQkqAkESIchTSsUksZwdWLWtLrAGnO6zYZxPfmm3KpaWsEEBvF0p6a0LKlmErTLW2obE+OTWEmvoL+vryJwFJ+FWSUXK1WgKs7LMs/M7teRqGIAmewqZui5ntDPapR/Ds9kpbm3WlXDeu/dP5RGOq8UgM7t9uLYsaNIJEv3Vw2GlVYFiipWrKpQbYjVPapb6eF0ucSbgn0mR+eyWEgDOzt9ePEWAy99wWVNPaOaWYlu6fwu2kggsBnqSJwbfn8PDAyANNpmBysCbSDQ7Oydmuu1gcAmX9eNAALT09OiqLB37168973vBZ143/72twsN57Of/WzNGSAQuOiii/COd7yjZDnScDQFh8GObnC94447sLi4iHe+851ijPWd73yn4RmmRv9b3vIWvPGNb2x4Hfkyn5jAr3/961Uuj7Y2UmdhnhP5mW0gYE5UPofDP/wHHH32MRjLC3gy9iS+2mHAl8/jU6Od+FL4/Qh5DHEsrUfV4vv5fM5s9oU0+/ZVaMQdOjGEWCxaAgSYyaRkKJOcUS/pH4rSsB4VARUvFjO1oq1uAAm/UxqZGxmVgEBRmtJAj1nBsG7LGurW2seJE4PSUCtSlHpBS++DDoaFh55XfQ7lzfBs7p1fMRD1O1dTXyzbGh4ehdvtQld3V1G+3wy8SYdhhL2U5bVQGel9nS54pGHVEJdabe1coKg7FeVKdWgIeR3MqfMVUp5Id4rGY2VuusXKhj5drRxUKZ/OS6dUkZjRNySjXz5YEeA1onRxpaGvVd7hQHegtHm9fPnGgUAXwqFQYfVaFQEuJPStFcXTr6dUxaD98IyqYFBKdHTo+CogoBrRq1cFsgab+YuVPM6hcr/OY69FvUg+t6Yu1+RSFk+MZ8TPY1fUhY+/4epGPh7rsgyBAKvG/P7YqLEZ6kg8t5/85CegqAYTC82ONhBoduZO3fXaQGCTr+1GAIGPfvSj+MhHPgJmnDs7VSPnl770Jbz1rW+V11hqrDYIBH7rt36rJmD4l3/5F7z+9a/Hk08+WbA+Z2XghhtukCz6xRdf3NAsE6z80R/9kfzYGRsJBEg/qldFsXPs1mWpTc1eBwKvVoz1rGqkD/8EiW+ppu45pwM3bhnAvMuJm2bn8JdTM3hT/O/Rl4hLJrbeYMZ6MZ1TmVcHFX+oSLI60K4EBKh4cnJeBSk7oy6RIa0HPCodT3lFoFwtiPQjRdFQ1QDKnDYyNBDYvm2bBNIMTim7SIUjBpkMmsSsqsQbS3G1ORQO0cGyGTabVYJGqUGkOGk6CKlBVjn94yIdaSDmd1Tk0OtzHB0ZFRDBbHa1oVyKFeBgZabqta9TqTlxgo3bYXF6rjckm17DmatoDGYIOJFGdZP7w18CBNIr6DOfgZpupKedvwfncljMKtMtqg+VXivLEYqIT21CmqoIlAIBbqEWGCicAwwx/SrvJ7HOUTafx/1DNBhTDc6++aHVQKAKPUg+y2avAP/eEXVL071VvSghxneWqoDTJe+zovHryQxOzixhS8yLj/7e5ejpUH0KrR6PPPKIOI7v37+/1bsqbJ9y1RvdFM2d//jHPxYQ0AYC1S91mxpk/2PQ2LeZ/e2212hwBjYCCLDBlQCAfHw9aFzF177yla/glltuqXq0jQAB0oyo5Uyuph4McpLJpNCFPvCBDzQ0G+eccw5+//d/H3/8x3/c0PJ6IX6ZP/744yLt2apBKhQbtdpAQM3wSmoazr+9Fp25CXwh1oHPS28A8K7BbZgOXojHw1diIOIx5RFrPbQpaZjD+CJdUkldoZNrqaa+XrsSEGCQxiZev8so0BbERMxOgwCAkyeHEY6ECj0CLgfpGspxl6CAqiyU++Tf+0g/qtCIrGNAHQ8y4K5UEZiRBlCG+sywMjAvbxRu7PjXAwgcnVWeDZ2B0gCv/Io1AgTIJ2d1hoM0nKoBawHcVL4v7AEBV0XOu96yaN2bHPtKQXS9igC3M7mULxh2sfdBBfuaymX6VOhLaPYOcD3rLcjnIVc7evQIkl3dJRUBLqs8BSp3ThSqEiLvWVn9yDqTT05kMLKovC4GMiPo7imnBnHp6vs6PMvKlxMhUSpSVZSRVA68b0Vm1vL55L1LHMbPIU0Cj08uSE/QzdcfwJV7Eq16HJdsdzOAAOWqmYBiZXwjB4EAaUGsCjQ72hWBZmfu1F2vDQQ2+dpuBBCg7jDpNjTrsg5yDd/whjeset26DIEAm3hJjSE3nqDi4x//OM4+++zCYsz40+Dka1/7Wsn2r7jiCnlglb9ebcpJJWJlgfQgO4Pa+zT72gggwHNiY1orBgM7uiS3qiKg6U3rAWaOTC7i4W99Gr879zm8eKuqBiQXL4J37AZ0dcaxO+4RZ+B6gzSFTDan6D0GG30d6K6g7sLtEAgwSyyceCryiKER+dvk2TvQYco71gMC4pBqHpgOwtnjQjWiaEdU0YHIq8+pxmAOMRJbMuAh9aGGy2v5+VYCAjTwmk/TqCpfwrnW64r5VwP9DY0CAUW9UmFpeUWAVB6KviQDtelO6wkEdKNttXvDFhAQU7HqqI/vPSP3CKkuVMMpvScbAQIEmkfnNMBZrfBkPQ/pf6hxPFQN4vNYKT2pO5H3r5jWmachoKGsuKB7ORRlp7Z/BY3IfmZKiUbSkzi9PyYZc+uoRg/iMopOpQ6Ghn5sJGe1h/cKZ29rxClu3xycm8kVgPvkceeW50FA+PIrz8VvndOHsK++UEC9Z0S99x9++GGhx21kRYBAgPdOo9XueufQ6Pv/+Z//Kf10W7ZsaXSVVcu1gUDTU3fKrlj/m/qUPfXnxoltBBBgAP+hD30I7373u0tOmpbsdOMlTajaYAMvsx4sRbIcSooRnSPJy9Tuhuw9uO666/DFL36xZDOkFNHenDShRgb7DGgmxoZhO4NAgBUJGmW1atCojI1anC9rk/R67o+BHQPSVn25rCcQ+OH3v42X/+pP8ZVoBJ/qjMNjGPi9k5fiW0svwdZkGNujXlCppZpngJ43Uno09YHRd62GzHIgQO403YSdQplwmnKVpH7QoEztoZClN/9QnObVgxUBBQSUfKjVRIxL60bhxmQki9uvBAR082enj/r2qylQ6w0ErPNQDgQOTatGVPoiWM3bymeoESCgnHwbqAiYvRfVvnzsAAFRdqpT/qGpGEd/uAgW9flNTE4iW6NHQM2dgWemctLr0BtyiipVtUHTrUqqPHp5VgS6unsQCgZXbULOpQIAJBjlfc6sPO/r/Wx6lg5wU7WowsGIlGgayKRmcfm20CogUM1cTJ8vgXkWpVUBVo8ICIgBqF5ExaB0Xh0KDzsZdMG1NIODM1lcfu5+XHNaH87bWp/etdZnKIEABTD27du31k01vP7BgwfB3rtWJW2qHch9990n37trBQKMCVoletHwJLZowTY1yP7EtoGA/Tlb1zWe60Cg/GSZsWZTFjP3n//85+Xt9QICfKi+4hWvEPUgO4MPZNKSrr32Wjur2Vp2ZWVFGrVaCQTYxM2fVgGB9aI3TSyk8Q/f+SHeOfT/s/ceULJc5dXorurqPN09Oc8NytLVlUAYkEASkkAi/cY2xmDAJj9MMJiwsME8bIzjIxgsssGA8WPZxmDABh6yJHISEkFCssK9ulc3TM55OlW9tb9Tp7umpzrO9Ay66rPWrDt3urrCOdXV3/6+vff3avzGSDemLAvXr5iYWfhDHNnowMFeFUxzMJvIoIFdXUupIiwYkNOsLCwh2faDFbLtmhqUTCQlYDo6n5UsamfYQFdUHa9ekbC+CbxAQNOCvDcI9QsMejojpm/wXu5m0kCAlTE6degmVcwCD7Uxs7r1EbzTQMAbW5YCAXauJbWDIutKDdLqAwKOVE1E+1BuVKh41AMEBLRVoYFJUzF2x41updXUAgR4CeLylAcSQQODifIZeelt4GPPWQsQCFjlaU5eihO1MKXuRZxpL12Nnylaia6sruCy/iiGOjdXBFQ1ovzE0Rp0wq0K8DPJYH90OYdTyzZyeUfuF1be2K3aMoHuuIWOSABzc7MYX8qgo28QT7xwBM+6pB8Wyw9NHHfccYdUCvk9tFtjL4EA++2wmt/oYEWgBQQanb0z830tILDH67obQICl6Je//OWgaNg7aqEG+U3PM5/5TOFHUgjMwcCVDyeKhr2jXmoQKw/c9xvf+Ma6VmU3gcAVV1whDhXNGAQBrAo0i3eqgcB26U23/O8k/vv2B9CLz+JriXtkKj4wEcMnrLdhcXkN+wZ7sZopWjyKKYzjCBBgRp3BLyka/BsDemaRyZjviplCUWHOXjSdOshzqRKcm0QyiUQyIfSFiRVlGUrBrRamVqMFlVu3zRUB7rYYJElGWDLddDMyCxSkWu6BUiDAeaHWgOSPc9pN34pJ7a5Bo0i1p6o2FKPWIZvNSeab10I+OoPOQMDCsSXpvCbXValzbn1AgICustWm+AWViUPrAQJqDSp/jUkmO0+3J+ogNgeltQIBevTPiXMP9Q/l6S7VqEGVKgJyv5e5qbw6gf646pVRadDG9MdjOcwtraA/FcXjhuMF21gKd0SObgD5nH+n4Vzexv3ztjRT4zrx88rtp1ZtAbOpsCFAlnQ8gn1WM/gZnp2bxfr6BpbD3bj8/GFce2E/zu4pBSG1fHJq32YvgMCRI0eEMtssq+dyV/+d73xHAE8lg49qM9cCAtVm6JH3egsI7PGa7wYQIK+/q6sLX/rSlwpXy4cYfbqriYVrAQIUC5OjT7qQHvzi6unpEZpPrWJhZttvuOGGLVal1ZaIwmcKxq677rpqmzb8OilOFGo1EwiQFkTnoF9ZIOA4sL7+BuCBmxCxV/DbQ/04EgrhmtU1fHBqBh+N/F/4Yf5inHfWARE+rmYd8ahn8MuMrK4S8N5gFpF0bQYkFAmTQsQmXWHhcPs/lsbY9CuRECBAm0SKXGOWg2FPhrZhIDA+jngsjvYUNQKbhZSiRVhUQECciSplukvusFIgwJ4Hs7xewxZRtP+o7bHMgJmZUDrscL4Z6GdzOREo699zuSzyuaJ1aMCypElaLp+ThPBYNipAoCeUQyJswvKABLoc0XrUClqYm50T8MDPdLkhza9calBVICB9uPzD3nqBgGGUb8jFcyXw4r2YDGGLLW2tQIDvP7WkegBXdETiAatqBPypQXxrOXoQX2OzNlJz/K7Db02OL+Rw9+giotEYrtwXRYQfOs8QdpFty2eTQIn75s96zha6GPn/SwT0hoHuqIGQacjfCQSoVfCKhrlbAsypmRnkshnkYt3C23/iBUN42qG+hp+7tbzx9ttvlyaUu1kR2Csg8O1vf1soUC0gUP7OaFGDavnUbN6mtm+c+vfbekeNM7AbQICVAPr7M8jkA5Pjk5/8JF71qldVtQ8tvQwGq2zcQpGx7kGg7UPvv//+wsP4lltuwfXXX1+XfSg9+knvectb3lLj7KnNCGrIE+V7G7GOrOVgGghcfvnliPnwe2vZR7VtOLe0c+UxmjG2rXPIbSD2oYsRyG/gh9EI/qC/V07zn8anMJTtwodjr8N0JoJ9Bw5sOn0G/utZiAUj7T4pTtW0hOW0LX9nUMKKQNCEVA7CAUjATTtQepOTcqGBQDDWhhMMzB0bQ22ebqt0bBHv+vrHmAsE2KCLLkbewXMedWkStKDkudQ6SoGAtqJMsMdCW7lz9d+/CvZzyOayEuwvLS5K8CXBnOs4w8CdZX8G7/w3FArKNkErCAbMmhrELG8+l8N9pAblbfRFcgiD+8kJcMjl8/I6s4feJlmkN3krCgIWApayRkUAJ1aYHQ7gYMfuVQRUL4HyNBeKsxnQxsQFZzP4qhUIsHJFnQCDYq6bFqb73QfscF2u2qHEwuWBQCV6kO4nQI4+gVa1kcnZuPn+eYSjMexvD+GcDksCeQn48yro38gpIMAqlL6ttZib1zCzYUu1rS8eEJEyP7sEGPzsqU7HxXuYVq5TM7RjzSDV3Ss0oqsO7ccNF/U31UqUQIBJrXPOOafalOzY6+xkv7y8jMc85jE7ts9adkQgQFH0wMBALZv7btOqCDQ8dWfsG2v/Rjtjp2BvL2w3gIBuKMZMgrehGHn+3oZiFPyyizD5jxwM8NkQ7BnPeIZkICgWJqigOJeBN90LOHRDMQbh3oZitAOtp6EYXX/oaFMqaq62QktLS2B5uJlAgNdIxwZm60sdOKqdX62vU3/B+f9VBQIMhr73Hzfi/5x6D17V14MfxKLocgYxtPxGGAggZWWQWZzGyL79wldWIYKiIYig033aMEG9klEZ/ZPLzHIy+AdSYdqGSqwF3aRK3mYo/cDK/Bza26LIBaNIZx0ETeWrrsGfiBar0ETKrUURCKS2dIcV+8gNHq8+xyD92SClSWsEyMnnPNIG0o+TT0pSxg32JavvZvn5e2mwn8mkEYlG5X4Uzq8V3GJr6u0hwPPxagTEUWfOddRJFTvJls4RgQCpQZxnZnkZSORckMDKgv5/NmdjIqdoc32hDGJBRUGyAgo8FECEAJMAzIAFw3TtNz0HrbciINabFXj502t5zG0okWtpAF0rEODpsfdD2jakcV2/T8M7fQmV6EEEAn19fYhFt4qF5dNC3n0ZTKM8/lmtUj0R/AApg3iyfRjwZ20Htx2bRtpKwjJNHEiZUv2Rz5i0p1Zqet11mgA8EoDoDwjAIxatUx0sZACKoFmx4+f6ODsNsxu1hc1N6Axgbm4emUwWw0MDODKbwXBvB666YLCpVqI/+clPpOJNeupuDSa92Kl9t4HAt771LUnElWuAV8v1t4BALbP0yNqmBQT2eL13AwjwEtnsi57+dL4hvYJ0HjoAeZtj0XWHDW/4w8FOum9729vEo5/0G1YTSL9517vetcWqjfx2inzpEMQv/Gc/+9l4//vfj2QyWfMMc9/UG7z97W+v+T3cUAMBnj8Dn2aM3QICnHvSj5oxtOC5UXrTybl1HPnCn+Oija/gt4eVR/iLl0bwC4NAANgXzWBqahr7DuyvePpcIQa1IpxdUN787LAbDJhiPUhhJLnJpOQQCOiAZ3FhAcFwBEt2UAoK8RCQDJFnj0IlgQELQQOpRvrvtWTwFRCIiWtQ6dCOQWwo5aUh1bJG5OazAzCBQN4IqM67toPBWB4Bh7x9ReUhpUc4/HYeNmGVN7NvWbDcQJ8BvxaFeqlB5c5lCxAwzQJXnE3SjjDLLTaRAeF6lxu1aASyOQcPzGaQd2wMRxwEDEVLokZBVRl0tYE2lCprTmG0KSChWFlYXVlFJBpBIpFUQMIMwLQCZSFeNSAwL30bbOnMy6y4d1DrRFBTS2BFfvx8pjogZK6+XIWiGhAQMBAwN2lU9PmSevXAvAKS/XF2bi4G/Nm8CvwJAoq96QyMT09jHkkBYnQ8YiWDq8yKGwP+mMUqnC1Bv9/nRJrELbJTsYHhpKoAzK3b0u3YlG7NvNoieJmfn0M6m8NA/wDm17NYyARw1cX78MzD/U2zEt0rIMAGjXS6283xzW9+ExdddFFN92u582oBgd1csYfHsVpAYI/XabeAwB5fZk2Hf8pTniIP1ne84x01ba83YomW5WFWFPiF14zBYIHWbQQqzIo2Y7CrMKsu1Eo0Y2wXCHzxR/fiJT+8Hu/tbMc/p5LozOfx/0wO4SOpP0HCctAZzGFsYhIHqgABbc1Jyg39yjXvmvx+72B2k5lNAQY5YHxyBtlgDMt2SDKZPXEDlsEsp8pwMpDJe9KpDJi4R7oTERgogABYPmBhcmICibY42toSW6ZeMsF5Nt2q3TGIGWry8znn9BuPxeJCT5lJ09M/jwFrXfj4xQBfBfuRYBAG6Tc1ANqagIA0RitqHggMOGUcXrvPs9orax9qAQK1VhikT4NtK/BDoOBqFgQ05HNYW13TZSHYWq9hENgVRc7eSgPpT6Q9KTDBCtHmZIBQu5ZVJp2Bq5c+WA8QoFf+aXaxhiEZ+dL7Vd84DLW9dCrvDXXs+HH09/tXBHi/MpBnV700efqe4D7DID+vbGwJjpNhA/GgCuoLCMnVXcj8ioMWMDczhcVAOxzTEnetS/tCAgK8VbRy56rPWzlmUeRvSgVA3Te0ZHWwP6F6M3B//JmZnkEml8PAALvVO7h/NoND+/twzYUDuHS4OVaiNK1g88rdrAjcd999oPnCox/96GY8qsvuk0Dg0KFDUlVqdLSAQKMzd+a+rwUE9nhtW0CguABPfepTwd4GtYqLW0Cgvpt3OzqHudUM3veNe/GUiQ/h3b13YTEQwHOXA3jQ+WtkEBQRrZHPYLwKEGDGnvxzjslVG4sZ5SZ0IFUdwI2PjmHVSiIfjMACs6ImmNUmWGAARZKLDp68lHEd9OiHnZd5ocHC8tICYpEQ2mIxAQ78IbBg1pPBH/fB46UiZuF1AhoGruLI4/L29e/8suVQ2eq80HeW7DDWnSCiQQMHO4K+wX6t1qHcdy1AgFQTNkYrBKkeICDZ3lo6AXOtJiblWrp7usvedLUCAR276oC1dIdeahApZbqSoCoLnGtFR1KUJGoY1L/eayQoIPWIYCtrBDCVDsEIGDgnGUA4pKoPBEWzs7VXBArNyQwDQwlTLHH9BsNzNsnjtMuPrcTyZC+dHB1Fe2cXgsEwcu7fCF75WsFnS5P1Xecs9YICzMzGs2oWsRx0RVVVQP0Y6t+A+l0Ar2lIYmEj3o/JdFCAwROHg0ITKg5Hqg+VZC+qoqIAx7kdBKmGAAFWKDojqgeFHtMzM6BGom9gQCo+EytZ5M0QrrxoBL9+uDlWogQCFLHrvjb1PRUb25oVdmqudhsI3HrrrdLMk06AjQ4CP1btW30EGp3BM+99LSCwx2vaAgLFBXj6058ulCM2P6tnkKvJ8jDdkfiAa8Zg0EHrNvY6ILWqGYON2qjPoL1nM0bDQMCx8fPbv487f3EHpkN34kvJI/Jl/43TY/hO+AW4te03REi4kc5gcnIc7EZdbpASohtASdMih1z5rbaOfu+nWHgGCUQiUfREsYVjz4ZPbo5U6BMaIGjKhP5XcagV7UgFpQYWlxYQCgZdIbhrr8iseU7RIJiZTgUYbDL4z4vzDr9QCRQYWAVd3nsoaCJoWQgHAwhZlszT1OQYhgYHMblhCGDpCCkfdj9h+04DAQkhPcjHWxEgz5uia758bicpONujBnHO759VmoORlCkZ6/L3gbKU9Rv1agS4fjy2piARnKlKg/p3I5vDqTVLAEO3uSaOTRwEemoNDESjkYLo2TCVpsEIEEywgkAhNBldar4yjrLBpYWmX7DP+2pTkzMex73QmZlpcXoKBUOFS1ezoAXGbjbfJOAkDcmluAVUoE9xPStL5PKX0pz85pJAINndj18u8Llo4MJuS2hF3sF7uFJTNk3hYympNxaQyhj7FCxs2AgHHEkC6MEKCz8Xvf1KzMpqFHUxzbQSJYWVGXKtWWvGs7N0nwQCrPY96lGP2o3DFY5BE45LL720ontXtRNqVQSqzdAj7/UWENjjNSlP1iYAACAASURBVG8BgeICsBMxszrULtQzyNVkVoiuQ83KcvDLjY4ND2cgoHUO9TofRb7yCgSPfkOW5IUDfbgrEi5Yht4RfCz+beCt6IgFsLaexsREeSDAOFOLOpnJP+rqA4bbAoj7NNYqvQeOnRrHsplAOBzG2SkG38XHF6k0VRrMbrmlNFhgsD8xNQ3DDMCwgpLNJb2B4te1PLCcD4rIsiPETJqy1Cw651C0WQx4S6sOBAxzFDmnOjCdVqAjFVb8bAlGGZ5J9UH9qB4CitIkPy73o2Cq6mo8+V4GXaw0sK+FbOeSw/WvbnzJBrRFMKDV2KCTk4PpdVteYx+BSloKOnPxOmndqsLWrYPzKb0dAHRFTRGc6lG6vXrFvU43UFYiVkiWPiYi6FghgC6t6mita5EQ7+7RBRf8h8BQ3JEcTQ3ieRkIG8zQE9A50nCL96QVCsn/2eCOn3X+CFDhDwEmA3PTxLptIYOAVLEo9ubfzIB6Xe6DovXOJqDDtWUmfXZqEp2d7YhFwiLAZa8tXYHi64rGRsesgG+XYdKT6MbD8zqvozw9Sc87gQD1D79cDGI9p9blcE9w0+LxmF76mN+zd3Qlj5UsHbwMafon57GknLsoItYgUqhW+TwGBgddDQhweimPtngMT2iSleheAIH//d//BRMruw0Ebr75ZjlmJRvfat+dLSBQbYYeea+3gMAer3kLCBQX4FnPehb27du3pfFZtSXaTSDABjL1CKCrnbv39ampKdCWjs5JzRiNCp7Nf3s+4qPfw4NBC785TO4v8AeLB9CWPg8/Cj8Rg50pWJZZFxBgQ7DJVUV3YDa6FkHv3SemYFsxJONhHCixgaR1oYcKvzXoL3DSlRMP6SXab5/Nk1Qy3EEwFBL3HcXdt7BiW1jIsmGZiYMpBTY0zYP/qky0+hurDMyeFisREFAxu7CEaFsCy1nVMCoRKgozuT86JImzklPf43htbRXBYAjBoK6CedBAuRDcDVS5Jc93LatCdHLOJUNeeJ/6Tf9/fWNNQApdirxnufmMHcynCQQMcZTRQK2gUJBDaQjgadjmAhXlFgWs8rosWp+GVByuz8l7MPftRTqNu9GmjQUNyLqSgsadkZZFP3zlmAOk0xtStaHXPjPjGnwVgJWTZ6wrlSAKuUnLYUDNfXVaaZhOHrDzCJgO2FJLMvgBpbdgR90QbVylWmSJ8HlifBy9fb2IxyvrjBSw3Qq3RODNXg2OI1U4CtgrjQePHcPgwADG0kGcXHIEeDxhaDM9SPcTqLSflYyDUwLyFBCgy9cDc7QRddAfKzY4IzWIgSZd5rTQf3kjh/E1B0+8aF9TrER/9KMfCdjZzYoAgQCfH8zO7+YgECAdiZqIRkcLCDQ6c2fu++r75jlz52HPrqwFBIpT/1u/9VvyQH/3u99d13qsra2JwxEDaK8LUl07qbIxs4O0bnskAoGv/uDnuOr2V+PzyRV8uj2JNieCc1b/Eo4TQEdY0Xro30/OLCsC+/cf8OccOyr7zDG+YmM5S66zIQFNtcH5/+nxWQTDYQy3RyWz6R3M0DMT6eXrlwb73J7BGYN8ywpKAK3+DWJ+bgbhSBTtyWQh0CeHWzsGMbvNrscS+AsAUD/F34vtsdwkspweM8vzc/MItaWwkg+ISLY7xpBRBb3y42bY9dxIBt9m6KmG2kbtv7C9AxSBgMrweqjlBRtWQwfSTFY7hgiFdcBPETYDPA6ek9+Xgf7byuqq0GiYpZco2u32rDL1qhTBRmwzG+qckyFlQakD7sJa8U9u5ULoKJ7rV9fqiD87AU4oEi6+7s4Bj6YA0+b55gXrudHnrCsMPAdSanjYaEB1tVZVGAPra6tyLTQAkL+58+gFBPK7ewG8J9gUTuYsygZsai7UtTBTn5d5MNiLgsjUzsEhWGADNzsPw3HpZGKJS7G4slcV5yTarLp2q1J5kp4N1pbP0tH5nFDMeqLGls9B6edIAwE7EMZPJohgDFzUbUlfAD1kTm3qYMp/CrkuDy7YosNhV2O+/9RSDmsZB/FgsamfBgLKhckV8js2SAOkleg1Fw3hirM6q33c63qdQIC++pUoiXXtsIaN77nnHgE8tMjezUFXPlqW0i610dECAo3O3Jn7vhYQ2OO1bQGB4gI85znPkQfce9/73rpWhe4N/DLYDSDAhzA5vs0Y09PToBsFKU7NGI06H/3sH1+NK5a/iqeNDGDasvB7i2u4x/gwaAJ5dsoCefEcGxuKGuQHBLy0IG774IISU3ZGTAlCqw1mru8+NSdB+7mdQcnEqoy+arDFa2Nmn4PVAWmq5Qn2GVSR+23DRM51Z+HmzLAyuJuemUUgFEY4ovzdJVal68q66rLKzGuiCn1J52+9QICCYloqhto6kLZNhEwHA3FWQMQcxhUla2qQ6r0gCWs3hi79VyezGYCPjo1KdSrRlhCAImY8LlhQ/ReMAhWrkDmnWFj6LTA4dsRWk18C2l/f1aUW5kD/n85HpL+0d3So10oy8no7Osxw/xSQ6my1Dqr5PvnCETG2AXGP0tfp3gB878T4BNra4oXK25b3e4J1vU9paMYAXF4rfq0xgOW5URRN4NMeVpQeBeQczMzNy33T2dm1CdSVAj1FMVIVn8k1hWRI8Ypaaj49dQu5EgVVeD6qCqQnbXpmGvG2hFDLHLlfFTggcGDFwbAVYOC1kG5jOjaCtPhkVcEFDbO5IDZs1UiPdraqG7TlW1V78NiDGBwYFPrYbePZsvSgWqoC09IVW9231CcsbDjKRhSKHsR55zOMNKP+vj4BMZwzunTNrOaw6li48tA+/OalA2Udl6o9B/xepyU2KxCPBCBw0003STKqBQTK3ymtzsL1f4paQKD+OdvRd7SAQHE6n/vc58qXP/sP1DM0EKDIlvzxZg1at9HeVHdn3unj/CoCgdG5FcQ/ez1OhKbxareT8Ntn9uOr4TcgZqlMoNByHAfpdAbj42PYv+9AwaJSzxFz4NpbnfaDxxgwwpBOr8zQeoc0RSo01VIUHgaspBMFnDx6rY2Czz6tNsnrh0lXGJqhByT8kiDfUYE+f1cBsqOCJU+gKIGjCZW1DwWFIuINhmfWGawaEkCmQuSCq0yychUq/hRdhjYH99QInDp9GmgfRMYJIBmEuA/5Dzc9Xik163mjFwj47Y+c89JGW6qhmJpvzicrM7yO8zori+wpZKc2opJrEPd57yzhITCcMDd1nS09P8VL91Ma0A3ptAjy6wHc4s5UgRtGke96zpEKFoXaehQy2DXaMfIeItjZyJvSWIzCWQ0qdIVIVyZ4nxN0CnVM7kcH09MzSKaSIhYu4gdFyfLOhtYnSIdnrVmgOB021rI2VrMEjTn0mGuglJk9EthgTyhInr4M1HbweUUgcHLVxPi6KX0orhpiPwpPV+AadAJiG0pdj2lisE11ji61EeUzjM+Cvt5e2T8/i5TDrGfzoglip+GnHepHfyqyY49PAoGhoSHs31+5f8mOHRCQ3jpcIzr47OYgEKBOrbOz8apKqyKwmyv28DhWCwjs8Tq1gEBxAZ7//OcjEongxhtvrGtVSEnhlwH99/n+Zg1Sg8jPbBYQoNCO3FO6HzVjNOJ89KU7TuCBO3+A1dD7cEs8jAvTWVyw+jo8aJ2LoTYV7FUDApp6oK+JbiMTa7ZkRPfFlSWkaqql+PsF6023qRYD/NF0CCsbGSRDAfS0x8VtKEPGhTSl4p5ValmLbdVf3GysmxVWIlwVdFGQyaw0/6UAcm52GtFwCJ0pdmFlrwHulw3PFLdmqC1QtSLgt2asVBAIZBKDkkrtifh3FG5kvbcLBGQdVm0BNefuEBC4bzYnwGmojRWU8pUezn25wL0ZQIDCVgKBRNAQYXSjQIDvU3QxA7EABMiWA2EUHpeOow8+iN6+AQQjUWV561akdHWK97P8XSoWSjvi3t2FXbGyMbeu9Ay9cZEviGOS9ANwFFhmCG7aOWQ21hCyDKk40Fr3WDYpQHBfZANdYWVvK1aStFulINqtLkiVQRyTNocIJ5YIghS9aiRpbbER9QIBnjApTxys/pAetL+/C9cdGsKv7W9v5Jb3fc8PfvADadhHfdlujb0CAt/4xjeku32HW5lr5Hr5fCWFtlkOe42c006+p1URqH82W0Cg/jnb0Xe0gEBxOl/4whcKpeODH/xgXXO83UZZtR6MQICODdt5CFc61q8UEMhnETjxXXz/OzcjvHo/3tQ/gYxp4G0zc3jaaghv6vwoDrbTm9wQdxbGC6UVAfGAz+Vg57LYSKddkW4Wk+sGVnN0b7HRG87DCpIbHZSmRwgEYRsB2Ialgn1budvMbThIr68JLzvZFnOpKSpMYrDCLKxuHMYgXvuoUxyp/q8cWvh7aSMonvvY+Bgi4Qg62osBCsW05EXzGLRI1E4/td4v3I7Xf+LUaWy0DYrDDDPl5QSeQs/wT5L7HnK7QED84VdJQaluRVlrRUCAAOizv00gkEz6dnkuN/ecW28zudLtGLwvpQkEIE2xtgME5jZsTK3xfnPEV99vsMrkZ8l57NiDwmdn5anaoL+/zb4bLjDQ1a2NvIOTS6wUkFq3uZrgdVfirTQ9PYVUql25qTkO2ByP+0sE8zgQJyUpB8MhJSkL5Emxo2NSsSeDBgasBpF+xT4Ys1mlaTi73cRiNiBuQhRH8zNCIMDj9vT2IMCu0YaqzHHGaTlqW2HpKfCsS/p97XOrzYnf63sBBH75y1/K+bPvzW4NViBYEWgBgcoz3gIC9d+RLSBQ/5zt6DtaQKA4nS960Yuk3PqRj3ykrjneLSBA+1C6RDQLCJCHTRFasyoC9VigRr7xRgTv+Q9Zh6/HY/iT3m6YjoNvnhzF8cBj8C99b0VvnKQEB+mMyuizMrO8vIRwOOI2fWJQqKg0FEJKMGJaOLkRQp5WlGELsaApwb50VHX58Zv51g6WMjbWMkB6fVUoCe1tMWmcROcSOsBE3Q6rfr78VW8k8uXtPCYmJ7cAAWaQH1oi593AOe2VffbLHYfZtyMnRmEn+oVScU67Wdavf8eBQMBAXk+se4JeahD1D1NrtvjTn10moNXXVRcQMAwMxg0kw+UrArwnynW0lYpAnUBA9ldhsSdW81jccBC1sEmcTmoQA9++3to7tVKvcnJJAUSvdeamw4uGeCuqqwcIcH8MwAvdlT0HUIALGOA8hwzRschP3kHG8+/o+CSS7Z0ijCfgnVpVzk78/dx21YXZhdOwTAdcMvYoCIIAMQ+TzdpITxINjhLjn1xnTwYHcYOtBPOYzSs65kgkI85JXItYLKYE0KQqBYPSo4OOS6dWTVx7yQGhB3W1FXspVP2cVtjg+9//vlQDdrMicNddd0kFZS+AAO2ft1OVblUEtnO3nZnvbQGBPV7XFhAoLsBLX/pSadLy8Y9/vK5VabhRVl1HgfQRoEvEdviZlQ5JIMCS85Oe9KQ6z6y2zTUQqMX5KPTdv0b49o/Kjl/f24NvxaMYzvVhYOb3MWu3oZvWifmsBNGMKpg5NM0AMtlMIQPJIIBZfgbU7GJL28W1nI1ZoTUox5NiLwDV4IvBMC0YGeTrf0lfEdHn8hyG2sNIpZKbLriadWil2VE8+jzGJye2AIHljIPRVSVApWd7I0CD+773oTGYyT5xLGLgWG7sOBCoohGYXbcxvcbOzsBZ7ZWdm2oFAvfP5qRCVA0IVKUG1QkE2EG5TH8ymW4Ruq7bEuR6u1g3AgSKHYZNDAs9buvXaNHTaPNqEwhQvEsb1loG7xk/LQVpNuTsd0eVm1W58eCDR9E3OAwrGBbAvbhh45czbJBnYLDNFCDOzxbvbXX/aRW4ugJW0iKWcltiRYy/855Zyqrq2r6EshElza8jmIGztiTAhdQT3f2Zzx25BsfGRC6G/d0JPHZfGy7sjcl21HX5/Xg1DJXmikCA+gDSg3ZrEAjwmXfo0KHdOqQAZ7oGXXHFFXXpZ0pPsAUEdm3JHjYHagGBPV6qFhAoLsDLX/5ysCfAJz7xibpWpdFGWXUdBJDOwswAbcexodIx5+bmwJLzXgABfjlQdM0f2rGur60gfPMf4+zcXbh637DQggbmbkB47XLppHsgAYRCFoKhsLjzMBhf29jAybEp9PQPYz3vetS7to/6uil0XEoz08nMLJtOEQwonj4p5aSpeANuZhFJZ2BYEl2bQXtbZMuXoO4OW+96cnsKJyno9QMCpIBMr7NzsIGzqwTK5Y7Neb3r+AQi7T0SdFWySt1pIOCXdfdWBGiDyeBYNYnaQSAABpmVKwIMIkl18RuNVAQK9kNlFkJAz7oN6tK9a9kIEOAhjs6rrtiVLDyli3bJ+dQLBIR653NN1DysZh0RsHs1D6WbEggMDg0j6tFO/Xgsi428sj891G1JNU5X5dbStnx2CTI07U4HCWJh657MYtpByDLlvlnasAXkJ4IOguuzApx7ensLp0LaVjav+jCMLmVhWCE8Zn8nHj8YlMSP94fPcj1YQSwHErx/p2McewgMDw838gho6D133nmnVDgvuuiiht7fyJv4LGEfgRYQqDx7LWpQ/XdXCwjUP2c7+o4WEChO5ytf+UrMz8/jU5/6VF1z3GijrLoOsktAgJmma665pt5Tq2l7bR969tlny/aFoH99Xb6MOfjlRoeRcx76F4yc+CK+Fo/hrb3dCDgOblh5FcZwPpIh5XzDXlQMAMjhZ9Z/NZ3D4sKCACUG2Moj3hHuPjOKYQvSwGot5yBsmZsys+UugMEq9QG0UYxvTCMWi/oAger2o+X2L1aatu0CgTA62pU9JgezyHNpR/zwvVnkmibb3Yhf3j87PoV4exc6I4FNjjWl+9l5ILCVp+4FAnJ961yLzVlyv+uruSLA7LDD4JT2mtsQC9dZEeA5i1akzOJoPYQIoz1VmUaBwOnlvOhc2qg5aPMHUby3SpuCPfjggxgarL0ioK6L87j5yiZX82LfyQz9/jKCZWb6BXiUAIGjczmcWlHNxa70uAfJZ8G14OV5b/CznXPEdpXAIWtrbyMHU2uO9BSI06jLYKXPQcQEepx5+ZsXCEi1Bsppi6BhbNURetAzDw8gwQvwDGa9S8FB6f9ZAebfvNQrVhbYZZsAoVyVgX9vpKrnd0v94he/kOPsBRCgKcZ2mlq2KgL1PMEfGdu2gMAer3MLCBQX4NWvfrWIzT796U/XtSqN+uPXdRAA3/3ud+XBv52ujpWOSRDETNN2gMCWzL7O8HuCfZa0+aXJgJ9cXu+/wuMHsPqvL0X/2M34o95ufDMew3nZFKLr/7fYAdJ5hTzknK0CL/0QyeZyWFhYQF9PF+JB0g4MhE1bMv36C3hsxcZaXnnyDyYs8UuvJJBlNYDuQMmgAyxPybl6bSUV3mgQCLj6ANKUJiYnJIjwAgGeK5uetQUpfq3e9Mxvbbketx2bRnt7J/rbAuJhX24wMHPjsJpuzWpiYfGcKYmMvUCAQuFCMJnamYoAaSK8R8hd320gINWdMkhgKW2D68k5Od/jkNQoEFAgEVJhKEerkt4ZJQvQCBCgg0+pw5LWd7Cyck4ZupkGAkNDw5vc1JYzNu5wm4td3GOhh/ZHMlSHO2k4JwJ80vXcrnfseEDhfh5C8+NcLmQUCGgPmwKaOcK5ZUQtA8PdKaTCpPippwP1MRx23pbOyJecNYCnHBrABf2Jmu710o14bkwAERDccccd8kzmM80PRGgXMl5TJSqSt8pQjZZEIMDtL7zwwobOv5E38XvulltuAW2yaa/b6GgBgUZn7sx9XwsI7PHatoBAcQFe85rXYHx8HJ/97GfrWpUzCQjwC+baa6+teP3eYN+b1SelR2f2yc8vDfL5f35p1tIU7dM33YZr738bXja4hg3TxO+sDOOO9BuwnrWFl8xyvxqGCDD55R9wcpifGsfB/fuUFSHpH/miAwm3Zv8AAgjqA3R3YMkXmnQYUXaJjOXomFLwLYeDobiJlbnJLUCAHH/Vabb+ofUBfKcfEKAzCwMfBjpe7/l6jpTO5nD78Vl0dLTjQCq4pWeCd1/irV+Ha9DY2BgSyYQ0FPMdPqT5zUAgj/kNIBbcLKD121etFQEBAo6B/jb2XqhUEajSR6CBigCvzc+ph9ezkrFxellpTS7oLOo9lN2lXZdYmPtjMD26ovo+nNfJBnFb70HeX6UWogQCw0NDCNdhc0zgXiqs9l7P+WWOXw4I8Px/NJZBOm+I4P9wT8gN+hVQ4mev2ljKKDDATzdthI8u2FIZtNMriFsG2hIJ2SefC0k2cYsqsTJnaXQpJ4Hs1RcN48kX9FQ7VNXXmaBhlZO9BPwGvx9qqTKw0qCHHy3JCyKOHTsmz1cmhnaqylDtQgl8br311hYQqDJRLWpQtTtp6+uNfYPWf5zWO8rMQAsIFCfm9a9/PR566CF87nOfq+t+acQfv64DuBt/73vfwwUXXICenu1/efkdn9n0n//85wIEeE104RG+vierX0uwz6y5zuyXHqeWpmj8Av/6J/8cPdkv4A39yk7zlpOjeHPwHzAX6EFHxBCBZEc0gFhAZQ85KBQeGx3DyL59AhRUE7EiS5rZxSPzqkEXhYqVfOa5Pza8IgXBMBwR605MKEEv7RC1GDMQoPtMY48xrQ/gsfyAAEELnVjIpdagpd77Znkjh7tOziDV3oELuoIVO6rWWxGoBAT8qgE8dy8QGKcffhqIBsv74evrrQcIkAbSF68MBHbaNYjnSYedvOPvHURKGj3wmfH2Ov2I3aXjoNfDaa9ljTVI5bYHUpYEvKWDWLlU6NsIEPDTCVA7w/uT10PNg86863NQPTNIDTqOfcMjAjz0Z4aB/n2zWYyvAiELeMJQ0b2H0K2cm5P3+nhdRxaKn+X5DUUP3FhZELqSGW2Xa9fnzmcEK4S0O6VeYC5j4kkXH8BvXDqACEVC2xjUbp177rnSXXg7g9etaUfVgIOmJTHhUYuOYSdoSRoIXHnllWhra2voUqXKYysxd6uPQENTeEa+qbFv0DNyKvbmolpAoDjvb3zjG3HkyBH867/+a12LUY8bTl07LtmY7hTnn3/+jgGB0mCfQIC9BPjF4pfZL6XylAv2K11jLb0Q7jk9h7YvPA9fbp/AvycTOD+dxUsmD+GDoZdhMBEUL3zadpa2D94MBAzh3nsHg5fjSwwegLNS1pbgpfS86f2+kqW+wMZIwgUCkTDahcevqggULhc6AYtlo7JtrOQgo4+j9QEKCEwixIZiHo3AA/N5EXsOxs2KVpiV5ntmNYf7x2bR1d6O87sr2yXWqxEgEGhLtCGZ2OyixPMRaodPQ6tSIEDhdjzETsA7Qw064lKD+mIG2ivRoKo1FGugIlCpu3C5wLlRIMA5VjQoE/1lrpVAs5TS0wgQEABXsPlUd5tyLlIZfIruE7R+crtnq/tf1daOsQIxPCyWvt5B29h7ZpnPN3DFkIUIVfoEU6xK1chPo7VuOs/PhmrWvbgBrC/PYyhuo7urG6tZBeZJr5P2fq7Wgc3OSPe74oIRPOVQP87qZle0xsdOAYFaz4Bz+9Of/lSe0+wJUQk0VKMl+VGVeB/7DYIUJnKuuuoqoUE1MlpAoJFZO/Pf0wICe7zGLSBQXIA3v/nN0ln385//fF2rsptA4Lzzzqsre1ga7OvsfmlmX2fx6RxE3inLzvxpJNivNHm1AIG/+eo9mDp+Jx7quxFTlolXzi/BSj8P34s+WbKPtPxkxr+UQcCM1ejoqFQEgrQ9LKEFsaETOwozKGBWtlpJ/cGFnAQ8XRFFJZKKQAEIqKtksFUp6Fe2iK6IlNjFod+8yorRzlC1Y9oKBIoZTwgIKdcErNqNOraUxfHJOQx2pnCgU/mtlxs7CQSYjbZ9eEZeIDC6nMdKBqCdezUNRK0VgSPzXDMD/awIVAACljTK8s/eN+YapLrklutWTH/9owsqg+5tDrcdIHBiUXXZTYUpnt8avPHeK+0BUBUIsJE171O3yqb/LegfBOgqXc1RzrXjoC/q3626EhDg3H9vVAEBUosGXSBYDxCgC9PchnIAY9VsYtXB8uICDiTy6OkuVk35WaIV73JWUarYaGwxnceFQ+14yuF9uOqcrmofo4qv09aZz+XtVgTqOYmf/exnEowzMVRpkJZUS5XBS0tipr6cneq9994L2j9TJ8Xtqj1DS8+tBQTqWeVHzrYtILDHa90CAsUFeMtb3gK65nzhC1+oa1X4cGOAWwv3va4dl2zMDpYsQZfSCBhUeuk73t9J7+HgQ9tPnOsN9hcXFyXTRGpQvQ/4Wq+rWlO02blZ/L+f/3e052/DxweOyG4/NzaBQ+kc3tj9j+ju6JS/VQQCIyMIWoEtQGCGgUNaNQGr5sKjuvrSl8TBiPidGy41KIz2jqKzT6PzRHCQt7l/DgNTrAhEQujsYFDiIJMDHlxUTZvYbIs9DRRzWvHCax3HF7IYm57DgZ4UBhkxVhg7CQTK+fQTCGg+O51vVjKOcLgZCBZsIt3r07R3/ndyYlICbU2L806B90uEFQF2kiU1qNMFApu3VVsLbUzPhSA57UgDnDpVf0MxfU+W6y5MWtr9c+795AF22wECFFsvZiBNuPb7iK0FCNi2FM5IlOONQzvP4ZERobh57yeVwfdvQlbu86aAiIP2MNAX26rHIAg5fuyYb0WA+7xtPIu1nAJtF3Yrk4B6gIBquKfoQbQwHV+xsbS4iH1xGwO93VvudFoMs0JAAMoGgTnDxG/92kE857JB6bHR6OAzjQE5s/O7Nficps6BAGQnRi20JH6X6EqxfIYq0JJKKw36OdkCAjuxWmfePlpAYI/XtAUEigvw1re+VQLh//zP/6x7VVgybSYQ4IOaQIBfNnzI1hLs68CfwX4t2ZulpSUR89I1qJprRd0T5L6hUlM06xf/jPA3/wymk8cnU0n8Q2c7OvN53HpyHHeFLsM/d78FXXEVMJCSU5pwLlQERkbEe7/UOnF02cZqHuLCww7BlQZddN5/pAAAIABJREFUXsa5sUO7RxW8Tk4oZx8vEOA+GgEDGgjoc2DGm+uqu0bTo/3UsqpenOce33u+m7O2chaK/iCEjGJQe99MBtMzczhvIIWetpAb/Gn4obK/m/brvldarhmFUNENI5WTi6piODg9SrHwVmoQ3yVC6JzqfusdUhFwQ36xwMw60pl2oMp6SEUgYKLbk+n1Wz+VpTbQG/PPUuv3yPmVqQicOn0ayUSi4A5VCjrUnKk5UDOu5lF0B2XKQ9z6XlJhHEeobW20sgIwNT0l4ti+vl6XVe8Bem6jrUKPAja8E0CojssOvePLtjjnXNBVtMFUAT0rTv72ofWKhXXQV3pppM5RtNtmkdpVCQiMyOemdNw7m8PkGjUihnj6F0aZdSl9P+9F6gRYV6OBwMy6AyYz+qMO9veXyfKbJlbSNh5ayGJmHTh8oAd/cPVBHOhqjOrCc2ISiFXU/v7+Rh+Ldb9vp4FALSdAIMDnN+1D+f1QTcfAaoQeXmDArsQETi2NQC2z/sjYpgUE9nidW0CguAB/+qd/ih//+Mf4yle+Uveq1CKCrbZTndkvFefy/zqzzwcwS8LakafUerORoFSf114DgfR/vhbdx9Xcv6K/F7dFIziUO4jEysuwakaxPxGQoEHCMHJPSqLMXC6L06dHsW9kZEuAy/f4OQaVWxP6pC9mHIRNp+CTXgoEigFhtZXd+vpWIDCFUChYAAJsmDS5pqhDW7sBa86ztk4VzlEhwFaaBQc5x8EDs3nMzc3i8HA7UtGgUDr4us7KF67BdVShB7+EtvKC15x16zWcHh2VrCQ1AvqYYqDksAmaiZwP19sLBE4xM5uF9IXYUSAA1WhLVwT8VkcJo/1LK6VAoNzqyqXS6tLdQPURKK4DXyhCLgpkczJP7HqsrE0NTE5NkiGGvt4elZHXEENH3S5Nx/tFqX+nAJkZcb6H9BqCG6+3vbLe3Hz2ValBZW9ldTHFq3X7XGzQnlfRnUpHsSLgDwTGV23cN6foQU8csqRBmHy2a3QO4rajKzZWsoYIzlnFm5tfREcIOGdQVQ5LhxkIwHAczK7lcPdMDu2JOJ56eBDPf2zjXYH3AggwYUN6DivEuzX4PUQ9BBNFkRpcp0jN9AMLBAV0WWoBgd1auV/947SAwB6vUQsIFBfgHe94h3j1f/WrX617VWrhvnOntQT7msZTSuW5++67cdZZZzWtBL28vIzbb79dOguXE4zVPTElb6jUHfnbv7gf53/3D3Egey+esH8YadPERfnnIbj2eAkOzmk3JfteyMWWpLM1ENi/b+uXer2OQdI/wLbRHmJ2WQUok/T6DxUrAgwmG7UOla6vhRSrg+mpKVjBELo6OyTYml3PY2pddTw+q92UYLEY01UO0PWU02/9+EJOgMCj93UgFq4sFq53bSuJhemm5Cf6pLMOGzzxYgQI5ICUAAGr4CpTCDc9WERpBEx0FxyzCrn4YvBtOMJbz+ZJDTKlZ4K+WwpT7X7jCA3K1j42gpxE68Fb6tTJU0hQLJxKFafEbU7n49Lp2aYQ+ftO5QNzFH87StzrWptKRYBUpjpdg3gAdkZWzjnAgWTA1zmIO/eeM8W7Q8Oq06++n0TWu+n+8r8TuHbeigdpNgzmGVgTiGwBAraN48dJDfIHAhs5Gz8aV0Dgom42u1P7kGWvsSqwkLYxsaaOzGLhxOyi2IdeNFyk73nPyzQDcr8QCJD6h0AINxwexsufuL/e27+wPZNAtPHczYoAn9OsHp5zzjkNn3e9b6SujN+PtQIBv/23qEH1zvojY/sWENjjdW4BgeIC/MVf/IU0TPn6179e96p4KS+1BPsMtP189rVo1y+zz1b2Bw4cOGOBwMzPvoL4t9+JE+ElvGygT9bg2YvPxYPm5UgEnULWWAl0tz46ikBg2NNmTC1lPY5BzBSLsBOOOPaw+RgHgUAoFC5k7VUPgQq3inuKmrRTjHKUWFiBAXWqk5NTIszu7FQBDBskzacNhAPlO7dWu0kpkCQfenZ2Bo/d3yHUo50clYHAVrE2j82Klr63pU8CgUCYPPHKHG0CAb63mnUugzt2oO2NAp3RKn0EytB4qBFg59RUaqsbUm3z5/+1xkZW1BD0R4tC5u0AAZ4LdQesSpRroFa4x7ix4+DBAmffRy9CICTN97ixN/cvbwaz6fm8cgTi68oSVdE/zm2ng9bm6+Y9LkBgZEQAtN/40XgW6ZyBgYRZaLRWj06AVQD2EOA9RUH9+OwCQgETjxpRtsOlg9ut5IBTC1nVrdgx8FuPPRu/fdmgGAw0MggEDh06hL4+9czajbGXQIAaMj+qVy3XrYEA39+sZFMt59HMbVp9BOqf3RYQqH/OdvQdLSBQnM6//Mu/xDe+8Q35qTa8wT5LprQdJU2CPHVN42kk2K90XNKW9u/f3zQgsLKygp/85Ce4+uqrm1a2ZUaJX5pdXVs5vIHPvwCxU9/Fh9tT+FhHCt05C8PLfwEnEJEGUUmXV+0nFOa8aSAwPDS45UumHscg8tbJX+eXFqsQOsApAIH2DgmYKIgVHOBmrgsZVtdCtFz2WIk4Nzc6KwUCpAUtplWzNLoGNTLmNmxMsXvv3DQu20cgUEksXFuVwXsejVQEtgIBik2rN0zbcSBQSSOwDSBgiAzZHx0edYGAl7YkQABAX09vI0ssdLesbaIrAnT7CHbrAgJVzqC0wzArEgzCCRIOpkzELHXtQj+j+Nh2qgKBe2ZzmFqjc5SBxw7ULxjmKes5CAccTM4tipbkspGUb5M19l84seyukG1Ln45rLzmIp1/cj55EZTF9uelhk63Dhw/X5ebW0GJ73sTnNJ+hpNjs1lhdXQV72Vx33XUNJxVaQGC3VuvhdZwWENjj9WoBgeIC/PVf/zX++7//GzfffLP8sTTY9zbXKg32GUQzW8mHs870M8O7Hc5+6a1BILBv376m2dTtFhBgGb27e6urx7E7v4+Rb74Gb+yz8LNIBJet9mB06Y+l5H9hd0ACDQ4/obAGAqOnT2NwiC4gRfEkX5MMe6Y2x6CZNboL2QgaDs7pKAbh4xOTCAWD0pxLbEEpU6hUESjz2SaAyFUBAqRcLGcMoTkM+Qgxa3ls0FVmIWNjaWYSl+7rqgIEatnj5m0qAQGxm/TrI+CpCLDB1kaOnZPZAGznKgLsHN0dRcUmbBXFwtsAAgQ65boLq2qFgx7XjpazuV0gQEE5nXcSIcdXAL+TQKC0AlZ0QiJYVRl572DQx4rAvpH90iODo7THBrstH6E7l2HgymFLPtv1UIO4T4LmhTRteh3MLSggcNFAqtBFm+fJ6thC2pEqBteIxYuRNkME+Rcf6BN60Pl9jTXJ2gsgcNttt8kzdDeBAL8f2MumBQQqPytbFYH6v0taQKD+OdvRdzzSgQD9k48fP46jR4/iox/9qPjQM4DnA/Z3f/d3Za69mX2vE4+XxlMp071TC8aHP5vzlGtlv93jMOPDY7BhzE73D9DnxnkqBwR+/K2vov+X78OLhjaQMwy8e2oGX8m+Ayets9AeJU2GAQ9pFQGx0ywduXwOY6dOYcAHCJRzDBLaTsE3XUX1JxbyWM/b4i404AlQKewU+o5rYaooSvUjgVKhsASEk9OwglaBGkQR5GrWQILn0NYYZYFB1mrOxtrsBA6NdO98RWB8TDqM+jUUU1akW+fGWxFQ9pOQTtFah1HuHq63ItBTDQjQvrVMF+DtUIPIQS/XGffYAnUnDrojBCoe16BtVAQU2AMipJD5CHa5DgVRdDVqUJUHiGIMbf7cUQDNyH0orj6b3qGoQcelrwcBtB5KrK7cttayNn40poDAxd0WetyqRq0aAe5zRSp4tlCkFhcWYVkBnN2bQMQyJPhfTitnIZ4d70lahbKzeNxSOpXezg48+fAwLj/oLzCu9lwlnfSSSy7Z1YoAn9NMPFEztltDA4EnP/nJDX8/tCoCu7VaD6/jtIDAHq/XbgGB++67D6973evwwx/+UCg0L3rRi/BXf/VXFUuM4+PjeP/734//+Z//Ad0uKN4jbeVv//ZvhSKjB/n55C2Wjuc973n4t3/7t7IzfOedd4rlJ90NxP0kmRRHHh7j8ssvxw033FBoqlUts18pwN2pJT4TgABLyxdccIEv13vxo0/FhH0UL3X1AR8aS+EjwTcjbUYluydON2xRDwMRAQUmEmEFEDgIBEZPnsTg0NAWatNxoVAYEmhoCoX09CpZHLEknFf6AHanVe4uapQCgYrC0QqLzj2WBqGlQICZyvUc6VDV+fPlDsVrpjYiMz+OC0Z6KgIBd2rrulXHKgABtb/KQICC7PQOAwEVbNM1qFpFoIJr0DYqAhTUlrMllfXIO+gKq/uQY7sVAdK/ptdVYL3VXUr9XQMBWooeO3bc9fVvjAZDIOddV+l+Td2DCKBrAwKlN9kPx7JI26b06zinU1XyWMlgbUBZoWpdgv/tyeOzyzH5enPzC7BNt2dKkBa4irfHW7EtSD2KemaIaNi2pVKIUBRPOrQPz7i4MY4/gcCll15aVb9S14erysasDlOTcPDgwZ3cbcV90UyCFtZPecpTGqaOtoDAri3Xw+pALSCwx8u1G0Bgfn5eeOG0OqNFJ7Pub3rTm/B7v/d7+NCHPlR2Buje84Y3vAEve9nLJDCfmZkBefxTU1Ogg44WDmog8OlPf1qCTD1YOq3kqkBuPzs0chs26fr7v/97/Mu//IvwIOsdlQLcevdVbnvyQtm9klWBZgxSn/gF08yKQLl54hfEFz97I3LZT+DGziT6c3n85vxv44fhKyUrT54+PcvZgIr9A3S3Xr5PVQrIUc5j8vRJmR9mIF3NowQSIqqEoqB4g/vSeWSTIlJWaKNyViogrj07DQS479IQuRQInFyypWssg6tq2fJy94IEabaD/MIozh3u23lqUEUgoIKv0uGtCCgg4IjNpw6My11LrRWBWoFAuYoFj7+dikAlIKAbcHV41nRyekouuVGNAD8Pp1dtmWs692hbWD2PfkBghJ8PH1//Wp4ppN14qU+a7iTi7JJOzgRED/lUBEqP88vpHGY3DAnQH9OvKgd0IioFktQGKXa/6gHBTyZBDqtKvJeWsgZml9dE9BuPhqUjOGVFFKPzR1cRZQ8uEGA1YSZt4OqLD+DZj25MMEwq6aMe9agWEKjhBmoBgRom6RG4SQsI7PGi7wYQYAaf/PuTJ0+is1OVX//xH/8Rr3nNa+Rv5VqzLywsCPXA6zd8+vRp4cm/5z3vwZvf/GbZlwYCdFJg+/NGxwc+8AEQTJAHWe84k4DAlVde2bAYrNq8cW7ZDbO0O/LM0ho+9uVbMRV4L+6IZnHDyireMz2HN6X+AW1dQ4WAnHH5coY/5NAXQYGq+9uYm51GX3cn4iELYYuVA8AyHDyw4EiQREqAbubkd67MsLIDMQOR0gzr1NQkLA81qJGKAAkKtrNZKMzzKAUCDy3aktnu9NBIqs2t9/WCkJP0l4VRnDXcXxEI1NtVmMeqVBEo1/7YCwQKGfIdBgKs/FTVCDBT3gTXoEpAQLkkOWJJqzURBAK8dXsbFAtT/PrgIgW7EC9/0mG8g58X3gscuiKwHSBgWXSDKiK8YpUDW8BcrUCA1S+Kjvn5vGrYUs5SPr0EGEQy6Kct7horXTakosTP1GrGkUTB8tqa9CNoj0VwcZeJuGswUPrZMQIBqS5m87ZUAJ90uHHBMIHAox/9aF/dUz2f2Xq2pYMcm0vSRW63BvvMsKJ//fXXN+z40wICu7VaD6/jtIDAHq/XbgABUm0IAL785S8XrpZBPv/2qU99Ci95yUvqmgWWRFlNeN/73rejQODGG28UgMKHbL2jXIBb734qbU+gQ6/qkZHGm99U2j8rJLz2vQACd5+YQveXn4tXDqxjxgrgLbPzuHa1A3+V+gsMdiYLomsRLNqqcy2/VFZyDhY3bKkU5PJsnjWHzo4O+aJiuCJe8QYwv+FIRnB/MoBk2BRbTj+6F+02GWTEAtgi0hUgYJHH36VUwuxpUOcTzE8fwDWZnppGQPat7EOPLdjIOaoxFv3w6x0MlqTZlGMjuHgaI0MDZS0cue8dpQYJG8NfO7EVCEBx5n0cb7zXXGtFQAWmCghoHr7f3DWtIiAWmyowLx2qgZqDlIfutV0gINUuocUYGGpTlTHvUMJ0dT6kwhxjhn47FQGKoT1rWwQ3qneDdxSBwH6EgpvF+97tVjI2bp9U/QQe1RtER9QUIM4+A7yPaTHLfwkCJJtf6CWiGqYppyIHS2kD62srAvSTbXGclTI3VfQ2zYulTAC4VgQC2xEMk7pKiqmfE1q9n9tat98LIMCuzTwuKbONdp5vAYFaV/iRtV2dX6OPrMnZjavdDSDA7C/pPX/3d3+36ZIoev393//9LX+vdN0PPPCAtCf/xCc+gVe84hWyqa4IkCo0OzsrmZLnP//5eNe73gUKemsdH/7wh4WqRApOvYPcSVKfSjPd9e6n0vbsJkkQ1Gwg8MQnPrFhn+hq11tunv6/nx3D4k/ehxt7fy67+OT4Am4K/zFORs7HviS/tNmtVjWiypIaVHIgfsGsZvI4fmoM7d29yMES2glHzgFm1xWlgAFnwFC/k1JEQMAsKn+PWAzAFee526cz7SYgsFU3We3S5fWAYSJnK+917yAQoE97V5eqmB2ZJ33I2KJTqOkgYMXEwRgpI7aN0OIpDA0NVgQCdECqsYdT4RTKVQTK6QP4Ri8QKIhno2bFoJ3vqwcIZPJGWTtNffLNcg2qVBGgJS2taZMeAfh2gQCvhz0vNGjsKumdsNNAoLSbNoHzShbS54PVNu+oFQjw8/bd0zml7YiZ4vZEbQsrGSLkl50q4M8f2v1TI0Rr3Sirfpba5oEFG/MLS0DAQkcijgNJVRHwc3ESD3tWhfK2CIZ7Otvx5ItHcMVZ9QuG9wIIMDPP70+vVq7WZ0Oj2zF5R+rodoEA15A9TVp9BBpdiTPvfS0gsMdruhtAgE4r5Pa/9a1v3XS1F198MZ7whCdIFr6WwQfI05/+dPzyl78EAQGFvRw///nPRRTMygMDfzZ4ee973yuipnq6BH/sYx8TcTID7noHA1xqDZrZVIbnRaBBalQzBi1R+QXTbCDgN08f+5+78MPJW3A0/gVYjoMfnzgFOCG8s+/DaEt1FTL7DKT93Gg4H/TmP3HiBIYGhxAMBSVoIHWAziGnlhwBEJ0RFcGLSaEnnc9tae24sEHAAQy2GeIaRPARNCE/czNThYqA1h/Uuw6VKgJeIPDAnMrystEWBcP1DkVxouDSRmDhlNDvyjV1kgBdXH7qO0p5IKD6JGSzOemrkctl5F/+n1Ub+tEHAhYms2HYZkDEs71t6m+suPhlG3ccCDSNGmQWXXpKpnN0JS8AjU5QQ27QvBNAQLLyeWpfsKUx2yaNgK4IjAxvSy+iO0Pz8sZXbCxmbHHgGSmxueVan3joIYyM7IMRsITKw67P/Jx5fydQp+vPWhaIBlm1s+SjSRMH/ivBvgvYGfx7dTveKSYgmplfQtYIoScZlTnWTkYEuoz8NSjgNRh8luyAYPimm24SSupuVgT4fcOEULO+C/yeBBoIPPWpT23YFluDuRYQqO9Ze6ZvXf833Jk+I7t8fQ8nIPDnf/7n+Ju/+Rtp+EULs0qD2f0//MM/FDvMxz3ucTXNKgHJu9/9bhEQV3MJKt0hA2hauTWzzfxPf/pTEaQ16+GvgQDBWSTCiHnnxxbAlEsjcOTrOPatf8ZNkQfxmfYELkxn8PmxCcyaXXjfwPsQiSUKJ8Iv73K0E7oGnTp5sgAE9JvIHZ5YURSh8zoC0kSIVAOCBE05IF+cnvZLaRWA90UVBUG7ljCIWF1ZQsg00Z5qk2CEgCFkqn8JFPhvtftG+bpvjbi9FQFF92A9ABhqC0izpXoHbSUXMw7Cpg17rgYg0GBFIB6LIRKJIpvLIptRAX8+l0M6k5FTZlDPRID6CUmgT5CQy+VxchUgx70NacScdKERF9/DbCG3JTgIBgNYW1sXf3jSsvhawAps6X3L45EaxIoAAV8lAXKzqEFmBaA6tpIXHnubZWDYDZp3Agiw58RShgEz3OpZ8W5h5SPnUpUK1KBtAgHOv7ZInWLPjQ0HYcNGf5spn61sXgX6G1kb45NTSHX2wAwQehfS+7oHn5wo73fqcuY2+HmC0IPYOyRk0gig+mdKXy21BmMzi0gbIfSmougrQ6sT219xEiI6UAYEU2kDT2pQMEwg8NjHPragf6v3s9rI9nsBBGj6we/Tpz3taY2ccmGtWxWBhqfvjH1j/d9wZ+xU7M2F7QYQYBb75S9/udh+ekc91CBSgV75ylfin/7pn4RmVG1MT09L9vwjH/kIXv3qV1fbXF7nvilq/sUvflE1oCvdIbmTFG6RltSsQSBAJ6RmlYPT6bTYw11xxRV1Uarqud5SwBT52msRvO8rsotX9/Xg+7Eorl2P4LyVp+OnocdgMBUT0W9xKD/w0sHALpPzBwLUB0yvO9IJ+GxPgzDvPpilZHaTWXS6+pBfTmoCAxsdtq8sL4POJfFEm1QUdAZdd5LleWlQQD1C4feAqipQuMmmR37DCwTohHJkQW23LxEoNEaqZ56ZYSW3Om7ZSM8oQX6ligDpFmWo7XJYdm2WDL/8y6A/i430RgGUUURtBYIipg5FQjANFchTlEncowCV2LUIJYO/052Jzb/aI8rZxc47yOdz4giTz+Xldwax/DeTzihqiMdvyWQFgaDBCoC/EyjMZoLII4CUNO1idcH/K0bTlzT1hFsJ99wAJsbGkUi0IZVUAFQ873W/Cd9/i8eoBAQkYE/biFlGIXs+OTUlx2xULMzzm123MbPB+83B2e2bu1BvtyLAOSfDLmdTXK1+6NefzqoK2uyGqqLxviadTgNh0e7nHczMzkiATCCg55LgORhQ4Jmfk1CAGh4lGOZMUzAcDrCy4q+1KPc5oBXosckFrCOMgfaYooeVUKW87xVA49gCXLRg+GkX96O3zg7DTEw9/vGPR0eH0vfsxqAmjd8DzaKJ+l0D9VekzbaAQOUVbjUUq/8T0AIC9c/Zjr5jN4AAKTssm37pS18qnDuFR3xw1iIW5vt+53d+B6wIvOMd76jp+hsBAp/5zGfwzne+E3fdddevJBBgpYJfqs1yitgLIBC++U8QuutzsqbXjQxh2grgfPs3EVm9WgLyczvMTcGFZgyX3gQM8gkETp48IUEvS896FLKNAQMHfJou6e2YsV3NAjHLKVA3GAiRusBAaHJqVqgssURKQAArCvy7AgTkM7uPMwkcyWnWe2YVQAeUBCQUOytgoH9fWliQoLark/t2cGpZuRwdTJqIMmKqc6i+CUBHyMHKlAICzMjzPBjMbfpX4i+KrR1kc6T0ZNW/OQb+zN7nVBXDYNBtiZYhYFpYT28IxSQai4meQV+v6iq8FfDoxm16mphNZqxH28jSrrReuMfgf2lxSaoL8bY2ODZBggPbzil7VDsPO8995TGfpY8/EEIOUTMPUkCkk6xJ6pEpQI7WkfyXwSn/LpabInBWk8yAJxqLSqWjlrEZJKgzLwAMD4hY2FD0F3LaSfni2i/MzwnQ6O7qFKDK3xVg9P5U/ppklWFsRQXNtBD1VqW8QIBZfPYRGBwehmmFVGAvAT75+Oq+UP9yTouBv3cOvJx9TtpK1sZymve+XbC5ZVY/GDAQcPKYnhzHyGA/YuGgAsNlgBkFw3e4guHL+iwRyJdrzFZuTTgP95yew7oRwWAqKta7nOdyw7SUKJm36gNzSjB8/cVDuKC/WIGsZf0fSUCAhhWkBjU6WtSgRmfuzH5fCwjs8fruBhBgJYCUnlOnTqG9vV2u+JOf/CRe9apXVbQP5XYUAjMD8dKXvlQ6/9Y6PvjBD+L1r3896rEU/exnP4u3v/3tuOeee+oGAhRRkbJTzgq11vOutF2zgQC7LDPTxJ4NsVhsJ055yz62VE7sHJY+9xLEZr6Lq/er/ghXbTwfS9nHCq3F2y3VvxagDkEOcDab9wUCk2s2FtOKazwiwmP/QS9yUlU6wv60EoJLZny7urskaNOxLisHDKCEFuFWEciF1hUFyaK6meVifaH46ONvS8vLcs9R98L3sYIh4uYoM6ZGoZrgzVzrPah5UVGsdv85vWLL+SWDDpbnZ5Fsp5OScm6hkxD51/rHlt9VJl7NpaLmcHuh6MjvzLpvDqoW5hcQjkQQjUYAlcyVYyohrtQA1B89gyBBB8rT6zxHA8kgqtKfmDjgeSXdLH25NWRWmPahsYCNNotggdemQAIDS3XNFFHnJdiVWRO5CIFBQIABaU2kMoXDYQEPAhYIIEosovSsb/kS8+AK72tLaUfEwsyG60w1LRl5/EQiuQk4eueN+9gCEAodsRUVZ2JVuVgNxgl8FChTS6JEt45jyL05Nc0MffFe8GDXwmopUpq2HJU7pjDdfIVZfN4K/JeCfGpwWLS7oMuUf/U8kSL20IkTkrn2WkD7rR3X5rujdA4ycX6HieFk+Q7N5dae5/LTh+aQMSPoTkbBfg1ai+H3Hq6t6kmQF41CdwOCYQa2pAbtdkWAdtVsJtasnjJ+80UjDlalKRZudLSAQKMzd2a/rwUE9nh9dwMI6IZi9I/3NhR74QtfuKmhGHn/FHsePXpUZuXee+8VmgrLnx//+Mc3iQjJlT/77LNlO1qJUoB62WWXCbedYmGKfp/xjGdsqkJUm+rPfe5zeMtb3gJ2Qa7G9S7dF7mTPM9mAgGKogmkmtVNci+AQPib70Do55/GbZEwXuF2FH768mswhrORDG0WP+pOo37ryECJ2Wu/igCzpcz0x0PsI1AeCDwwp9x8VEfhrY+mTUDAtTGtdk/xdWbTCRLyMJDJ5l2KhZuBtyF86vnFFeRhIhiJucGV2nMipAKrYoLdk7rexLQungmPR1Eqt4wYeeQy6whallRYGHDxy5ivMRBiFYINmMJBlTED71A4AAAgAElEQVTndhRIS0aa24juoVi9UAGpotDMzEwjHo0i0ZYoZMDl9YApgXZpVlxek+y8mls2oyKA6omR01+56jE5OSWf/56e7opTTjC3kTfRGXEqNmLjKbACwmoHfwgQ9O/LS8sCCjiP/DvBCkNhBQosmJYLkkhJMhVYkioJgZbwiFQgrn9kPw4wt07dhuprwYw3/za/uCQ9dKMCAIsUKrFZ1CG4plYJiOO9UAzMVTGKHvrqvdSTWN4KByU1tqKk8SpIb0u2tSFomQVwoWg6ykFL6Dou8CSgY2Cvq1ekurF6ou5AtYbk14+u0OHKkQDe+9ysBwhwXz8ez2EjZ2C4zcD5XdSS1EcN4pz9+PgcsmYEiVhUdCK0Cy43BJQaCrSSXpUPRnFNnR2GNRBg8kQnuWp5Jmx3G3aypyZtN4EAG3ryO4h9BBodLSDQ6Myd2e9rAYE9Xt/dAAI6qH/d614nrjSJRAIvetGLhI/vpXBcc801eOihh+SHg1QdVgL8xotf/GJ5nYMVBwbxBBGktzBQfsELXoC3ve1tdTXG+vd//3f80R/9kTgSNQIE+FCm7qFZgw/hVColXwDNGKSEMNPE7JZ2ZNrp45RWTqJfeAGsE9/FZ5MJvKerA3EnjnNX/lICC3YrbfcEiLqHgN85Mcvt2A5OkBo0MIhQuEgNooiQfHl2FC71Otf7YraUgSmDqv2k45Q0ZuJ25SoCfufDLCwzzqQVcd8qyDOQJtWGf3df0zHdysqyBMht8TYRMFOAycCODcXE7YTBpOqZJr9zXwQH5DhLrwQG+PLD/dtYyytRdcLMShAYCgXFy53ZffXDQFD3QVCBvwowVRBrGKozsF87AJ3RX1pcQDQSRiwa0/Gv/EsgwSDOm23WcyQ0HfepzwCSwXBn2EAy7NZ7inpSeYvex9wsKTQUC7erDL56tVBv0NuNLtug3rs9BHRGzaI+QRnOK62C5J0V9YVDaxjkdwATE5OIx9sQb4urOZY1K1ZRlG6BFQUbFKirioPaF8+DegWWqFhlIA2JIIHPkzU7gA2bAbdrl2qgQHmiJkFbZPKYPA+1vuo+kL+5WX4G9gISXFoLXyfHnvdENADR1Gjw5uISqSiRBrM4P4+OjnaEgqREbWJEFW5jbss11CCAAIA/BID6dwIH3j/si3ByWUGWc9tJvSp+pRNY8Zl8YP9+oZRVG3dO57Cwwb4ZwKP6gnI/1zvuODaNtBVHMKQ6C5dqJjbvj1akAaFCEdDMpE1cdfF+POeyobIUptLz4X1O+1AmrPhs3q1BIMBEWDO/b0qvhc8/6ud2Agiw2tZoL4LdmuNGj9PSCNQ/cy0gUP+c7eg7dgsI7OhJN2ln//Ef/4HXvva1UpGoFwhQRMVqQDMzNHwIJ5PJMwoILEyeRvqLf4DPxU7iC8kEHreeQyD9V1gx27YE5F46jvcWYNAjme4yQEB16VWBYTnxIAMa+okzuCoNaPSx+EVI49FUZyfyjiE0Ih3Qq+De/b9HYOzGqxKwSrDt4c5LmOMGowQCDL7ak22SqZ5LK43A/iSFxrT0YcCZg52jK08Webrz8MftSSCZ6VBQuN9Zw8J0hqUEE/sTBsYnJtDV3QPLoqUqg0gV5EugWej9ZQhoKQSbPppmeVh7gsfFhUWEI+FNwnL9QHeJJe7UFUk0uhkUdzS1xmw7qx5bNQKaVKRPY5nUKWa8E17+tncrpUCe3aD400AsCGkc50fF4kl57VK958zfZ6kRiEYRi0WpjBVQqoGHal+lIYg+O4IngoK83INCR3J1C/KvK35ezZnIIICAYSMZyAnlyHHyEmBHIxHJ0jMw5b+WFZD7QVdfipqBYrXGqyNg8zjek73S/0KDRFahivdkJpfHqdFxdPX0iZ0n15vZcE+j4CKw0qhGgyVNFXLvWWovFIBiNl3pXvYlDcQtNvGixaeohesCAuTpj606AsIvH2QFy+cmrPLsv/P4FFYDccCKCK2OLmGVRtAKSHdhNi87ueTgyY8+G//ncD/i4erAhfvdKyDwne98R/rWNLMC7QcE7rzzTrHlbnToikALCDQ6g2fm+1pAYI/XtQUEigvwxS9+UZyJjh8/XjcQoBaBjkHNBAJ8CLe1tRUoUTt96zCDx0wT7VZ5nGaMUgrV2rc/gM6f/gNe1d+Bn0QjeN7SChbyf4bxwKAIhUXI6Y5yFQHtzc8vGWYgSysCzPQzSKKdZLkuvcyoTq9Jnh3ndihaSCZPe0tSd5TV6Oz8kjRuisXbyrrR6HP1ZplVhlXRLtjMTLKqnuwq/z8/Mys6h1QyicX1LE6tKFpKf2BNBf+OLRlxbcVpBWmrqW05g/KaHuSiT6wRjRDUGMLTVq5BxSpJ6doKr98Td+lsswYKKjtdzFTz+ianphGORhCPJwRc6Ky18mvnX4pDMvEUTCtDd3mNLjqsmrDTLmlbHly0KQbkttQIMMPOaqLer44TC/93HXToRBQNqv3qu6cocnWz9q5z0aa/uxn96ZlptMXiiMepkylqGlwctKnS4QVHulIi1yjrpag0mmY1s57HQtpGGHkMRhQVaXmZ1CBbHJdyeYI81dBOwAoMBISyZSnKltipFm1VCRZEvG0YOLFkYyNvoD1MalvxXhCQ7O6P9xOrrSPDI5sqZl5BvFSxpFpVBBBKRKyrWmodSfFSjkIOptbU+bJDNGlF2tmJGf2F2WkM9fUgEgqI1oVCYoIEaQ5YMljNObKg5u2qIdVLoN4A4d4T41g0kkibEfTGDFxQQlcqPaYGArym++ZyuObwQTzj8AC62sp/Vrz7eCQBgampKenhU826u9L3RgsINONb9eG/z3o/5w//K/4Vu4IWECguyJe//GWhIjGYrLciQCDAHgLNtHM7U4CAl0IV+OR1iC0+gKeMDGLSsnD5xuOxnn0egqaNgyUOP+WaiSmvdJXN59oNDAwi7KEGPTBPUo0hPudJRiKeIc2N8myMxCBN8ajpNkJOPyPOQrxiGCB3nMGJBgLCs5eg3iugVGJZ6Svg8qs1mGHWmO8hlSSXzSKT1Y22smAPB10tyBkW5pyYBH5nJyG0Hgn6rWBNTw8BNRtAADbOSjYGBGo50PjYOGLx2BZKhLgGlfEi9Ypu69IITE0K2KE2qNKgJel6HiIU9QbEpe/xVgRKXzt56iRSyXakUslapmHLNuVckyhap5Ut/f5JP+MobZSmAJgtfRbIsRfdAmlI8nteUZFy2UJvAO6DVK95J4qsERaBdH+b4dK/LKGDCT1JBNy2AIF9IyMIVgCFlS6aoEJobkYA6ZwtPw8tkQbnKBqbpzEd74G5uRl0dXVL9YNDgwRePUGDVA9cXcJ61sa9cwQCBh7Xb7lOUvVVBY6eHMOskcQaFBA4v0NVVsoNzh3PiXN8/5yNx18wgqcfHsRwR22OUQRXN998szTGZLV2twZNNM4///ym2lWXXksLCNS2ui1qUG3z5N2qBQTqn7MdfUcLCBSn87/+679EeHz69Om6gUCzu/7yLGlrSjcfCqObMfilxpIzm+Mw89qMwYqAFwjcd8et6Pvhn+CZwyoD92czFr4eehcioTAG3O6r+jwobFVuNJtHgRrkAwQYuPALnoLP7riiWpDSo7L9SpDJoISdeEkpiVgOUiHTbTikgACDegYs68uLIvTs7+4QS09NGPGfJwc58d3PScAvgX8mLf77BAIcQXL26bsfDGJjIy2uPD3dPUjbBk4uq+s8r6QqUsuaFJsz2RJwMvirVhGQ4LW+mAu/qkDALzNeOm/NBALMlvt54NcCBGpZX24jmhEXHJAyNiFNxQxYThad1oa8xuqCCMSFCmVI9YA6IDaBIxAQrYgVlD4MwYCyhZWuwTUMakzEbla0Nar6dCBlImIp8S2peGvpLE6NTqCrb0B6O7Cypu8xVUlxhcfufUcaFftnMAmzP2GiN24iElBUIXYWriU5c+LUaUwhhRVE0RFhRSAg5+Q3CACCgYDoPziOzudx8cFBPO3wIM7pra0iSqB2yy23SDf2Zj0z/c79W9/6Fi688MKmNrAsPS5BKx31rrvuuhrukDJPRWpeHEccuVoagYan8Yx7Y21PnTPusn91LqgFBIpr8bWvfQ3Pe97zMDY2VtOXjncVW0Cgtnu6VEtx/y2fgX3/B/HygbDs4KunxvChtvcilxiWrK6XG1CuIsCHCLOo0qTqxEPo6x+EHQhiPeeANBlaAzIXT2oQRY7FUQxMCAQICOg0Qh0BA39SzL3dgmdmZuWt3d1d8iUmdBkKRnWTLfrve37IFzfEiScoWX3SOhj0a0qPN7CZnp6RagMbxim9gsqdltMrVJptBoXL9Ks3belgSyBA2lokrObYb+woECjRQniPtxsVAQECIZQVhvN8mgoE2AzLpyJCIMCqE4PachWB2j5FW7ci+JvdYCXKwVluJU3ar+VtaQLHgJX35szsrAjSSdvJSnVB6Rn0sMwASDsrpSAJYAhQv8AmcaofAwN+Wpc+uLgZCOh98XgnT5zEgQNFsbC21NVAnICBvxNQ8PN0dIGaCjaDU59XrUPgp5aAgNUU/a9fpv/U6dOYM1KYs2PiuHVBZwBtwZIww6VsaVci0XwYhnSlPmuwFzccHsbhodqy+48kIDAxMSFOftdee22jt6lqCtgCAg3P35n6xhYQ2OOVbQGB4gKwMcyzn/1s8IFXS/bJu3TN7vrLY5GfSXtUisSaMfjFyJLzr/3arzWtzF0KBMwPXYYfBZbxxr4eBBwHL559Dn4augL9MTrJKBcS5ZqixLOl+kG+xkoGXYEYQJ8Yn0I02SG0Gm7PwGOGjasIBKLkjhsIu91MlaiR7igMZhQtaChubPG0l+Pn85iemZEAitksBgCZbE4y/RySVQ2GJMhnsM9Mv2T8xS2F3u7cR3kXFFrzKZChgICuCDQCBOjGs5oDEpYtDZVqAQKlGoFa7q+yFYE9BAInhRq0x0CgQkWgWUCAlKNJinYJHj0CWd53uoqm7TxLqUEErIpy5KUfub8LNUm9pgtGolWhdWowCBgWxrMRoR5RmB4PaQ1DQIDHyZOnNgGBSvcVP6t3TOQFxCZDhoDYtazSkXib9fEhwHNhpU6DAnZrpv3p6dFRrFopTOZiCAccXNgZELcwvkNAKEhjcpteuF0uuG/uj+5ifV0duP7wCB57oLYuwbzGW2+9ddcrArTIPnToEPr6+mr5qO7INi0gUNs0tqhBtc2Td6sWEKh/znb0HS0gUJxO2sD9+q//uthE1gsEmt3si2d59913SxD6cAYCpaLqn33lwzg69TF8oCuB4WwWb586Bx9rey2GEwHEPJk8rgcdVZhNosvHWs6RLq3kg2+wexdFneJtPyOcddIgGOhzFzPrjgT857SbCDPFXzLSOQfHl5jVtDESozcjM/sM8oscfp09ZDDBjrPhMCkVKvDnT7Uyt+LNFzOvpeewk0DgJIWjtNAMOuLR3wICWx+Ze1IRWLWxkGlORYB9I0ZXVKju9fP3BQL79sk9W9eQbsN2iW4hj/VsHqfWAuJo1WOuwnSrC2JfStpNLi+iax5va5WB+oXNn8d7Z/MiPqZ4/PH9livadwTos8LHf9k4rOjcpK5CAn32NViYhRmOYt6OClC4qCuA3jjPb7N43XvtYkLgUCdkoy2RxJMPj+Dqcyv3q9Dv10DgyiuvbJrBgt867QUQGB8fx/333w/afDc6WhWBRmfuzH5fCwjs8fq2gEBxAfhwZdfEubm5X1kgwL4LbMzWjMGHNLmnzawIlIqqb/rqF/Hz2ffjvxI2HrO+gc9MTOENqRsR7xxAmHY7rl86G4LxZ400gnwxQyjiW5smiZDtF2cmMNTbhY54SESC1AEcI3UBBs5KkfLDL33bQ+HJYXEjh4k15Rc/YK2qxloS4IcKmX1m+elcw8GsvaYG1boOFBX70UX0+0uBwHaoQccW8+Ju1BV2xEv9eA3UoIYqAuPjolkp9U8vtUn1zlEpNYiibIo6qzYUq1Es/CtREShHDVq1MZ9xxOt/p6lBDJIp2uVgFUnTZnYMCPjc6HRxolhYPl+Og4PtJkKGEt6ygrCRTmN2ZhbJVFJAMP/OChoreLqyx/uOoJ3UI2oWJnMhjKf52TVx5aDq6kwA4W3qzOqgFxjw2ilg5n03Nz8PIxTFbDYkLlgHkrTgDQhNyOtA5r0c0R45DtiV2gjF8ORL9uP6C3tr+mizCSO/N3YbCLAKcfjwYfT21naeNV1MlY1ImT1y5Aie9KQnNby7FhBoeOrO6De2gMAeL28LCBQXgEJZ8h8XFhbqBgLN7vrLs6RQi1QTukU0Y2gg8JjHPKZpzXFKgYDxD5fgnR0GbmqL44bVNA6vPBP/E75B6A388l9Mq+ZaWVs1MNK+Iwx5IgFD+L+0ioy5TV2PHzuO/oEBqZww4FhL5/DgYl4CkV4rDeTS8ncOziUpPGsIY8UOImSZOLfDFU36TLDSCDgCBIQjXYe4lpjGT0DqBwQY2NDTvFGNwJEFFWj1RdlErTYg0JBGQIBAFKlU+6bZklUq4wHfAgIOYgF67vu7BjX6uSbgFa4+DBxMKtEuB11ltRtVPpvDQydPYF8jFQGfE+NngE4/Cmg7OJgyC+Cdm2fTGZw8dQoHDxyQbsyF4XZs3tTRmeAhm8NM2sGxtYjq52HNKo2OdHUmWPBYpwbZFC8ofwsFQ8gbJjZywPGxCeRDbRhLRwQckGKYiigLV9rJ8vNQKh5mc7Vsjo5ONtYRxjWH9+NZlwzUtBQaCFx11VVNa8LodyJ7AQRGR0elx04LCFS+NVrUoJo+Olu+M+p/V+sdOzYDLSBQnEp21b366qsFCFSjepQuQLObfe0GEOAxmN1qJhDwiqr5ZX/3P70WH43dhl9EwnjxwjL2pZ+G/wz/pjQDIghQoY3qrBuxTKELkQ9M0SCziWT/0nGHgshsJiNrR2GuUAFow+iYmLLjEkjsSwBt4a1iXVIClrMOYpaD4RKnIu86bwcIqOC4gkZglvoDoKenWygQJ9zsLulMlewPS+9Dzun988qLfTAG0TvUUhHYSSBQaOHr85TaLSCQCkH0EeVGM6lBZe1D3YqAFwhMTE4I5a2aLWq1B764Y81TCWNgJGG61pvNBgIBoQZ5KwK6ircJCBw8II5EtQw29vrxuKL6XdJtIhFgJYFiZ9dCNZ8TAbQWP9OVSw/OI6t9sEI4lkkhjQA6w5C5YNWBwIX7JRCgRXAyrKoE2jmI9KrZTABPuvgAnnPZYE3JIHayZxV1t4EAnYouvfTS/5+99wCT5CyvhU91nu5JPXlmZ3dngwJIu8oSyCCBJAQYMCDDD/yIaGNkYWQM9m/C9RXYBpt7beHrhI0x9o+N5UQ2GExUFkLIJAlpV6vdSTs5h55OVfc571dfd3VPdaiZnh5p1Z+eUe/0VFVXfVVd9Z73Pe85275uqjknehkCgRMnTsgzcqtDUywbqkFbncEzc71GRWCXz2sDCORPwL333itNX6RpkILjZdQDCDzyyCMCUM4991wvu+ZpWQKBiy++GO3thVleTxsps7ATCKxupPDpL38DX7M+jNkA8N65ebx+eRWvCX8cweZO2QoDWzYOtoUs+KysUHqUBr96pbsuH/6kEBAAUI+/pbUFTU2Kl2wafpxcYqOggYPtAclYMtfudPil9jwNw9pDFnocZkzFhzE3Nyf7s5WKgHj4lqkgzNYICLDh8nHKOcKS5k02UwoQ6OuTRvOSgfFW5ENLVATKOcLuNBCgO/R6htfL7gEBv99A1qVcNGX3CJAapCsCtQICPK+PzZMiZ6A/5pPMN0cBNajWFQG/H4lUbYEA9/nOMX6nfTjcZmB/e0AqAuKv4Gjy1dexeABQKpW0o0wGszMz8IfCeCzRLBKm3b51tBkJrGb9WDd5P1DAmsCE12JrCOiOsZ/IQAZBTKUCuO6iw3jlhQMIByuDFw0EGByTJlevQe+CCy+8sK5AgLLaNNsk6NnqaACBrc7cmb1eAwjs8vltAIH8CaDG/bOe9SzQOKVc0OR2ynba7IufWQ8gwOwWHzDxeHWqGV4vX6e60uTCKuKfvgovGAwjYxj46NQCFpPX4O98v4jWoIUokoggCSuTVoo7Ps3dp9OqUuYJU+owl+0DTp0aRl9fb+78KXlDSzTLi6kL9BTg+8fmM8IR7mmCZApLDQIBPsiYvfVGDaIlb3keUa2AABspT9pUDZqJMcCpKxCocJxPCyAg5l2bz/dOAwEatKUtH7ojQGeTqoa4AYH9+/aLROh2B7n7OSDgQg1KJVMYJTWoXEWAX00G5qIUrED6fafTSKQhCl5OBaRq9lfM4Nra8PBqTIDAvhZ+71WlgL4eyxtZLGxQmcgE1ZLEAds0ETBTiCKBmWxUpEOf1R9ER3NE7iP8YQbb+cp/k1pIIECltd0AAhdddJEkJeo1eC4pPNAAAuVnvEEN8n5FNoCA9zmr6RoNIJCfTkpbXnHFFaA6QiwW8zTPNPviOocOHfK0npeFqeHMQSOZnRr1AAIdHR3yAHvk1ARi3/lV/MpgQg7n4+PL+M/Ea/Gg7wLsj2YQDgVyqjzhUAj+YGhTud4HszC7PzyMnp5eNDWp7HcBEGilalDhLUdTaUQ6tBnSc6B6EahClF+Wy80QCGSzCgiwIbQ006fg9HAzDDbKjVoBAfEgWCUtysJZ7cpAra5AgAdZBgy4AoEm+jfYNB5nV6hjwqaqaBbmqpSApJoUM72kBhW6RuQ3KD0bdqyu+xn0+d62s7ChqGzFozQQCAglbLvjFNWisobQYXRlS8z27H3RPQI1AwI+A4m0bsanf4FqxtdDA4GDBw/YDb+2gZjd6cNA3K2X5KHpLFZSqon8mR2Vs/LOeRsZGZFq5iNrUWxkgT3NVAvbvA1Wzkg9pIoTCVX8ejYHLSxtmLjscD+ec6AFbUFTKowM9vmq/617jHgtEyAkEglp2uX9XwMGDRp2igJDhTtSODs7VeW0HoNAgM7tbIze6mhUBLY6c2f2eg0gsMvntwEE8ieA2Woq5rAE6tUufqddf7mXBAJ8cD7zmc/csauG2a2jR4+Cwfp2BveTjXTr6+tYW1uTV/4sLCzkHv6jy1l8bXQYw3s+JR9FM7HBjInf7P07xFsKgZjQA9j5WDwsuqfm3+SDygsQyFFpLAv7W5UueamhKwK9PT0S2NCtGAaDGRX8lnLmreQhwM9zVhu20yOwnLLEZZbzTxlJjkpAgLtP6lTxcL6j/62nmr/TR6Ap2pSjkSlJR7tRWMAP32A1JD9PCgjQKIoBZFaawOnvoDPYpea+GiDAdQUIZNgYWgU1qOiEaVHK0bFRtLe2obWtTXLUBQ64tsedPlZ+ZvHMURJTAlzRu8/P3OSahYWkiVgAwuPnoDa7z18bIEDjvLWMgZYgMGD3ujiBADPiwyPDqBUQIHDaoPSuXYFiwE15Xt3SzwB6ZHgUQ6wIFMmElru3/Hgmi/mkMve7oMtb5UIDgUfXo1jPGuiP0p27PJiYTUK8RngjIYi86pmD4i58oGtzMojnlRQkDQ5WVlZEUpPO3aQt6vd579ODYKC4ouAEDLq64OV++/Wvf12eVfUEApxbggHSZ7c6GkBgqzN3Zq/XAAK7fH4bQCB/AsjzZ7lVP0y8nJqdNvvivjz66KNSyn4yAQHuDzNixQE/f+cDk8ECubP6hx4NpB2xcvKvD5zE4A/fjPf2qfDyruEx/Dj4XHy281fRSRmgTZFpERCQYKsw074JCJgWTiyqsG2oLa+mojetqDQEE8xoKipNaSAwL1KlPRWoQSqoVr4G8skMCJn95H8lGEK1AAL8vMUNC9M0ljIs8U3gOHVSKSkx4JBgl4G5Y18Y3JDXXqFosWlaJiYnlWpQa1vub2LOVKYpmkGylnFkkyldZXcCCLAiQK58qaFUnNxPBpVuSC9pa63OXXbTZSoGVZu3TYC2lCLYtHJAYGpySkAlK2Ry5dkUGV0YsYWyHFtTBBptiaUPgedwct3CcorN9Ny+Cn6d1CANBIb27Ye/GmqQwkB2ZYzXszoqseXiZQRLemtOLKiG3eLvD4NhRQ064AkI/Gw+i6l1VdW5pMcbECDQibfHcSwRxWoG6GkyxFSs3GAfM703VlPA9LqJiw5047WXD+EZ/S0VHwG891Ftjtr6Tjop74saFBS/OqsMOjDmNVCKguQEEbpqRSBw2WWXbTthU/EAHQvw3sqG4SuvvNLLagXL6uPlsXr16tnyh9Z5xQY1yPuEN4CA9zmr6RoNIJCfTgbzzIaTB+k1I77TZl/cS2aeGFzTUXKnBh9q559//qZME7NdOqvvDPr5IGQQQr4sS+MM+PUr/80bvjMbqI3XuvsH8SdffxhXjr8FH+iNSLD89ZEkPt7yLqy0nIV4pPDW4FYRkHCrKHodHhkR6k60qUmmKK2BgGFgyCGrqOdPqDQrSmFIqDQumXG97NxcHgh48REQjX6HmRiDKAmGVYuCRH/UWyePuburWygNbGDm+0o1yN4DCb7yQ/+bIEMLrc8mTMmmhgxTjpeD13NfxWZhykx6u6pqAQToCUGFqFpXBCoBgXJeB9sFAptKBPa0nhZ1KqrYkIZmy4dqIFADahCz2vNJ5bBLXrx9icn3k5cZTfLYQ0POPvtqOASoalleXka2i3cp+dfiK4RAQFUENgMBBsCsrh48eNBT0Mdm97FVS5TBntW3BSAQj+NEIoqlNNAVBs6rUFUI+A2kTVMke8dXTMRbY7jx2QdxzbndFb8QvBfeeeedm4BAxRXtypmzilBMQdKAobi6wHsqPU3oKkzAWlxtUG7mtR+8j9BLoAEEys9tAwh4v/YaQMD7nNV0jQYQyE8nm3EZZFMizaucH4HATpp91QMI8OFPIDA0NCRZSmfArx9GfAg5A339byr0VJPh0X4LM0YcX3roFEZWvoLHW76C1mwW94yMY91owocGP4VY2MX5tIgaxFDKtJ1M9VksBgKK+qMCZTcgQMnACVJpTBNnx6cCDrMAACAASURBVAv7Aoq/aLUAAqpWoIL/3IsFzM7NiORpV1c3UiarFNJFmcuyKrygONa5SkPRNrjIxGoWi8w6+8xc1rk6IMCKgAdjBH7W5CSamprQ3pavCAhAKjonznl0VgQYQDKQJBDosptbS93cqqUGKXqMyiaXqwhUAgLkmbe2VM4Il7wZuzzZxldNrKYtNDuoO5OTU2Kk1eUBCOSuH7t6oPbBwmKStDAIcDzLzoLzO0L/CoJFKm2NDA+r73eALt15QKq7KVStSG9RZf0Vxcv9SFOmgScWlS9HcUVgq0BgeNnEyWULQZ+F5wx4c0CWikA8jpMbMTFvi4eAo93lA2NWTXjMdBh/aCqLWDSK64/swY1X7K34rNVAgP4zDMh3YjCLXtyrwKQQk1W8Z+v+BQ3eCATcmpudFQc+q6q5XzuPh/cR9s89+9nP3vJhNioCW566M3rFBhDY5dPbAAL5E0DqDRtx6Z7IbIuXsdNmX9yXY8eOCe+eGfvtDGanmcl3cvf1v3mj5gOCAX5xwM+gjwBhO0MDgdFsG772gyfQu/p+/Et8FXvTaXx1bAI/Cl6A2/s/gGjIhdZRDARolpRRQYgeXoHAUtLE1DozpqwIlKaScPt0nKY76iZqkE7IG6RNFA6hUhiGVHLKjbn5+VwjslQxCARIZ3KpYpTbDkGNZJ39zDor2HHq1En09/VL0J7nnyiKkKaeSNVCKgt2EJgn/Ms2VJChShKaS+8KBKRRtnRpoRgIkBrU0cQ+gfJzX2sgUIkaVCsgwGkjfOOlO7rM/gULrWED/c0q9J6YmEQwEEBXtyP7rFayaWR5OlmlLD2bX+mQTQqP5sUrwKPOBysCTiBQ7fdYAQaFQHmW+G1RrwCBwONiYLeZWrdVIMDKybFF5YVx9Z4tAIGOOEY2YpjdoPQwcFEFehGvfc7RyKoFfnZzNIo3PecQnn9O5YoA75v0n7nmmms8S05XO//Fy3GuSQ2iwp2WeeZ7rC64NTc7G525DAfv8c7ehVK0JOf9ntKh7GlpAIHyZ65REfB+ZTeAgPc5q+kaDSCQn04CgLPPPlu4+Gz+8jKejEDArVmXDy4+GDiYFSqm8rCywR4ErxWRaudK+y30De7HH3/pQexZehs+GW/Geckk/ngqgD9ofj/aO3rcufpFQECCOQflhvtQGggA+1v9m5qB5xIm5jYsBAxTVE/KjcWFBQnoqRCiqEoqQKYqi8rVuw8xmCraz+IlnUCA2zsmfQ0+kT+kiVq1g1lnZsRbAhb6Y2o9qQj09iFiKym5bUuqDN4KAhIU0K+BwYjeQ8muarAgQEMhCr1pVgw0LYqZZFYESAsil1vTm3L7lwMjAIEAgxfOPUd+q+ocqN4EC6wIrKZUsL2nhVlv/TcVIKsdMeDzUTrSMRMSfCtuv+oRiqOtpTXfDO6cNHtZvSNWbrtqIX6mz6DzdOGEqkZmq6CRmXPIDG4tZCBZ3RpfU595rl0RcDpabxUIlLv2NrI+nGKPDYDD7fkeG57jxMaGUIMOHPSmpDazbuLheXVynjvgR8BDo/Gp4VPo6OzAaDKGmYSFWBC4tLd8RYBAYHY9i+kExF34YG8bXnX5AVxxoLJgwpMFCFR7f+D9shQFyQkYNOhkpVdXFzTQYH+XU1bVS3WhURGo9kw9vZar/gn39JqXuh1tAwjkp/qJJ56QJlYG9Xv3Vi4LO09SPTT+CVR4sz5y5Ejuo3XZWPP3nVl+3rgZIDETrJt1nVl+3uSLB7NbNCzbaSBA3vDtdz6Cr418DMejD+OyxAY+NTmNGV83/uLAX+YaSgv2rxgI+IBs1RUBdyDAoGMhaSHsM7G/VWVpOWfOJk0+FBlezc+xIqCAgPgIVEmlcWZlS32xnUBAJE0XVd6VWX26A1c7GAivZyE+DH3RnQUCJalBZUCP4fNLdpyDFJCNjIF4JC93Weo4p6emRW++0nUpx08gFKyiWbgE8hkZGRVw09q6DWqQCzBkQ2oiayHukPckEAgGA+js3L586JpIxyogQMUoXsfuQOAA/LnGk2qvLPfl1jM+u8eGKlWF1DpnRYDAINd4bPOPOP1uMqus0v33jAICV/T6EQ2WB+jOPSMQoJLOeCqKyXVTXMgv7WW/ROnv0EbWkmZhAns6G5870IkXHN1bFRBYXV3F3XffXdeKAO/5lA9lZp49ArUeWvHNWV3guaTQA58zBAH8m65y6upCsedCcZVBlNZs9N1oFq71WXtqb6/6J9xT+ziftHvfAAL5U8PMKRUu2DS8f/9+T+dspzX+edMlNYiBPh90zoBfqb74Xbn7BAFepPt2Ggg4jdf+/e5H8MDwe3F30yx+bj2Bv5qawTHfIfzD/j9E0E29ZzsVAZ+B/S0+qQgouo5iwVDJZZmcen8218BZ6sQ7gYBk+atsrvUKBPj5xxfZwOxDb8zIucRWc0GOrDC41i7J6vY6fGpYqG61rgi4AQEBSE8FIEAQWUo1qAZAgIFv8eap80+VKur8d9sO1rUEAmx8J72FgzQ3ZrpJ5MvaVK18RaB2QGA1Y2B8haCVdKTCgL0qapBUT1Q1iN8TgoO1rIn7x7PyBb2oy4927TFRxRdAA4GJdBTjayZiQQMXdvsRLBIBIAChVwH7KggEFGiyQEZib1cHXnB0Hy4fqmyqqIHAtddeK54n9Rg7DQRKHQN752ZnZ8Vrh8Mpo1qqysD3i6sL55xzDvbs2eO5R6Eec1uLz2hQg7zPYgMIeJ+zmq7RAAL56aTU3b59+0D6CjPWXkYtgIDOxLhx93lD5WBQz2xlcYbfS3m23HExu0V6lKZgeJmDapZ1AoGv3Pk9PHzybfhCSzOuXVvHO2ei+P/C/xPhphahw5DewcxuTsmnCiDAbG5XV6fMjzysTOrVK9qHAIGgIUZS+sYjVJq0hZagWba5lNuan18QHm5vb4/o7lcLBKoxFHNWBPhZJ5ZMZOkS28SMefW3SQabwrsPW9KEq4FAT2+P6hGo4dguEJAMecZAexjoLSP1yV32UhGQZuFKFYEdBwK+TdluNkezEbwzwuZodW5qCQSo6X9qWV3ch9p9EvzuNBBYShkiWxqAJZ/pHElSg8bHPZssZkwTd4+bchxHu/w50ETgVo6Cx89mPwwb7iczTWKsRyBwpNOPiO0PQoNBBv/8EV0umxNHAMC+jbmEhe7OOK4/ug+XVQEE6CNwzz334LrrrhOKVz0GgfY3vvENUe/x6neznf0jEKDM8eWXX171ZvhM47NLAwX2ppEGx0Znr83KVX/oLi/YAALeT0D1Tzjv226sUcUMNIBAfpIojcZMBRtavToEe9H419r7bgE/b/IM9hm0FTfrMmhgafaCCy6o4sxubZGdBgJOB+bP3fcovj78PvwkNIUXr67hf83M4RHfWfhw++/nHxKWhVjIQFvIQCyk6A56SJBTpFBDfjebeWOxqGQXGVQcX2C3IzAQ86OliGYzspwVuc72kCVOpuXGloGAaPaXJ+DPzS8gK/0HqkGRqik022LQ2GkHjdWcUQabaRPojKiAs1ogoOn41XyGXma7QEA1z+4EEDCkR0Kbarkdk3IWLuEjUJOKwGYgoAzUbLlU+9zUEgikshr0Uj7Uh7C/EAikUhmMjlA1qHYVgfmkD6TXhXyWfGYtgAC3ccdYRip357T5MGCbr5mgPwbvAepTpOJSdAo1EJjONmF4xRSn8HNtmtTChiWqTfoewu8kewg6Iz40h5U3Avs4pCJwZO+TFggwE//Nb35TjL1atqNs5eXLDuDxxx8XQ0j6F2x1aDEK9h00gMBWZ/HMW68BBHb5nDaAQP4ETE1Nid76gw8+KFlxL8NN419r7zsDfgbyWnufpWQ37j5BgNtNkhkZlqJ3Eggwu3XWWWftWEXA6cD8+fsexZdG3ofHglN45coqfnd2HiP+ffizgT8GHXL50NaSmSzlk3bSGlKVAlJ8fLBEGjFXMbAsnBoekYyTrgjwHFKX3IQhgX57uDBYoZmYBM5hq2LA7QQCiuZc5e1LK+6UuaCKgcDwCs2aDOGTaxpJNdejVBJMoDti5SoJpAY9GSsC0jybJvWpvAswj7vaioCS6KwCCOxwRcCth+TEYhYZS5lc6SpPLYFATioXyJnnicSuTQ3aCSAwmzQwn7DQ5M+bpOnrdKsVAa5/z+mMfC8PtPjkWEoPNn7ngQGVbejFMZON4tRyVnok2sMGggHVvyCN3OB76n0aCMr9g1QuU3mKEAhcf3QvLt1fmRq0GxWB3QIC7FFbXFxsAIEKN+JGRaCaJ1XhMlU+Sb1vuLFGdTPQAAL5eSL/kc2I3/ve90RGtJqhdZzJ32f5k6Varb+vpdpKNeuSzuNlsJl5eXkZF154oZfVPC1LIHD48GHP8qnVfogTCHztjrvxrdF34p5oE167vILXLnbgttb3ordDPYAZ2JDHS1CQyFiq10EicEse4GyIZR8hjYcCNgeY9C6WnVlN0UOy5BbQEfFt0qun9CEzi87AudSxMBuWSilqULVAgG3GNEurNIqBwOiKhURWBcm9Np+80jZyoEeCTUsCHY5qgYBTDKeaz3JtFvb7Nkm6OrflbBZWQADSA9FXI2rQkwUIKD+FwvN+3L7WegWQamrQhHDLa9EsTOrMcfHMAPa1+IRet9NAYHLdwHKSmfW8SZo+3xuJBMZPn/ZcXeX6D0xksZ61MNjsqyjry+XlPpwFHh8eQ7StE1PpMGiuF2KDedQHGpXTaI0AjJKi2t2a6yogoAz1eE322T0Cl+5vr/g14P343nvvxQte8IJtSytX/DB7AT5XvvWtb+E5z3kOmpubq11t28sRCNDI7NJLL93ythoVgS1P3Rm9YgMI7PLpbQCB/AlgoMcg8r777tvk3kvKjpuzLt/TNzc27LKR1ynJWQvtfb2H9QACfKixP4KVkZ0YbMSmYgSrDl+6/xF8+eSv4eHwBm5cWsZvzy/i3tDP4Zt7f6Poo5n5B5bSBhaTJuhGS44+3YCFHWBCAEEkACzNTqE73oqOlmiuUsCHuwqqjU1B9WPzWWl07IvRhKr87UgBgZSApGqBgLJqrdxVXAwExlctrGUMtFQwxio+R8cW1Gf1Ramh7g0IeD3f26UGiflXmhWe8go/3K+nWkXADQgcW8jK9Uo1J16LHJOTBAKhTU7eXs+FDoYfIw3OMDBoq02xaqaVeQhiR0dGakoNGl+DyLW2hTZXdbYDBGjstZK2QND0DFsK1TknTBIkMpAEgXpVLKG5uVmhyyxlg6CvAulRVAPb26KqiG5DdAnsnh+vQICBMZ8X119/vSdRhq2cX70O70Hf/va36w4EmOxiBeSSSy7Z8u43gMCWp+6MXrEBBHb59DaAQP4EsOzJHoEPf/jDknl/yUtekgv+ndr7bs665KbXwuyr3OXAsjf38aKLLtqxq6aeQOCL33sMnxn5AMb8p/H6pRW8d34B4/49+Nuh/2Mfn6IDkf4jg83CBpBIW1hilSClnGl5E6G0JF/n5ucQjcYQCoUR8gMRvwpU0pYKvgZb8oZoote/QNKQhb3NqKjX7wQCEniJIn2FW1iVQGCeHgXpfI/A5JqF5RT7IlBRzch5MTw2z+NhYG3l+iGGh0ek92BHmoUjkZypEffD7/Mjmy1tnuasCOSAAMFOc3mJyKcaEHCjBj22oPT26e+gQVotgQC3/SjPv2FgoJkgkldnvj9lJ4DAyIoKxp1KSPp63A4Q+MlsFvMblFo1cLTLh5Spgn1+FuVh2RCvbgl5AwxWBeZnZ9Dd3oplK4SVpIX2iIG9LX6h/THz7yZZSnxgFQGB6y/Yh0v2Va4I7CYQeO5zn1tQ+dyxh4K9YdJfSXO9+OKLt/xRDSCw5ak7o1dsAIFdPr1PdyDwyU9+Ukq7bPblD4M9ZvYJCD7xiU9I9teZ4S+lDOGm8V/rU0sgwP3bzo240j4xuzU0NIT+/v5Ki27p7zQsY6MYKwLfuPMe/OfoO3F/UwT/79IKXrXUhY+33IL2zr5CAGB/kmRZnZ9qkg9PLj2QyAJUTRmfmkUk1oxwKKKCBECoCzRyYtWgP+YTBRFWD5gJHF/hFi0MtfK96isCEoQI57j8NIiMZFFDs9saBAKiSGQbZk2vW1hMqf0kzaOaoYCNknIcbIYopnAQCHT3dCO6E6pBm4BA9fKhQuNJQQLWco29PIYzAQg8Oq+iV3pD6Kb1WgMBAlteAX227CxpacoFA0Jrq3VFgE3tDMqpgqSb0/W1yl4oCjB4EV7gNczt/WxeOX4TyO9ppjmb8pvTPH9+BgN/0n2Y6Sc9kPSf8ZFTiHf1YiIdwey6ifYmH/qjvoL+H9USYDtpE7xKJkHJvVLJqr+nEy88uhcXVwEEmJi5//7761oRIAX1O9/5Dq666qqCXqhq7hHbWYbPR1bAt/P8aQCB7ZyBM3fdBhDY5XNbLyDAm8g73/lOCbpZun3jG9+I3//9369oy86b/Uc/+lH85V/+pRiakB//sY99TOzVnYMPHG6fRivk3N5www247bbbKsqrvec978H8/LyYaNFD4MYbb8RXvvKVTduvdJqoqMCb5NGjRystuuW/0+eA+7qdG3GlD68HEGBvBJuxv3rPf+M/h2/GDyIGXicVgUV8Ifpq/LT/1a67KVnWIiBQvCADnbZ4B3zhmHCGCQ5mE8yus7qg+MJ6JDMWqCTi96nAuSlAyUVIJYGv/HE2bS8sLCKZSqKvt1c2ofKtOwMEuM/zSTYzAkOt1QEBzRGXCkcLAyNvQKDYXVhck1VLhsqk6n/br5PTswiHQ2huaVUULQnWfMhkFQWGgZV+P7euXdXh3+jozPMT8eebZ13n04JU6BisVVJJ4flMmgbCvnyPhNsZ0olkCS5VHJh7nZ2ZRUtzDLEom/Y3/10xSVQtqNTf6YarXI21VK2FxxepmQ85Ny3Uq6wxNYjbY2M8yW66IdkNCPA+5/NXd01Vul88vqRoe066UwEQmDiNQ0XOwjrYZ5afQX/aVME/fxjw86qhKzDPJf1E6PjNa8tnWBLwS+AvAMAhLWx/KJMlrZ29mCYQSJjoaPIJHbCU8pb0FhEsOYDAQG8nrj/iDQi88IUvrJsKzm4CAYK77VSkG0Cg0jfq6fn3BhDY5fNeDyDALPZ5550nWeD3v//9GB8fx7vf/W4Juv/8z/+87Az84R/+IW699VbwlUH2X/zFX4h0mlPrn5lUHRx/5CMfkYD8N3/zN0Vd5z/+4z+qnmHeYMlf5/a9aCXzA6jow7LpTgKB4eFhMXTZDkez0mQwu0UvhYGBgUqLbunvrAhoIPAfDxzD3498EKd9pwQIvD9HDfqTLQOBsdFRtMfjBU105AqfXmXDsCEBiwYIDEIXUgzULAmc2HfAyFUCXzvEF0AgwMDAxuoKzGwSAz1dNmCgRGQFIEDKQRmDLb12cUWAtIjZDQM0gGUgVM1gQHWCzaIwsb+Z+608E4ZHxxHv7EQoFJH95Xv80f/mKznXzCQzSFPHv0mZMbcLqj9CBeeifNUUtXsmVGCm3UP1ClyWPTZ0gaaCDSs7rLqtpH1IWkYBECh1nPwsVnhamsu7/QoQyKp+Ed2QW3LuSmimzs8pellTU6Qi0JNtF21HglZpFlZa+BxsHGaVh793aLUaA1hZXkAwEEB7a4uABP4wQ02goV7175v/7aYs9oQ0xhvoigCdTT7Vn2Lvg64I1AoIEOgcW1THNxDLVznkeC0LS2sbGJ+cQt+e/aC0KVWAnMG+2/4rgSMFBEj/Y7B/cY8/1+xbSXLyiSdOormrF3OZiMiadsfoxeHbVK1wXhPEy4bPJ98BVgQIBFgRuGhvZWoQn20Ul6gnECBN9bvf/S6uvvrqmtP9yt1n6JXDZ+R2xCo0EOBz9kwdDdUg72e2AQS8z1lN16gHEPiDP/gD4d2TR89mXA7Sbm6++WZ5r1TQyRseqTnveMc7wACfgzx8ZpN//ud/XqoEHLfffjte//rXgzcquhZysDLAmzNv0tUG9QxWSP35+te/LvbtXkY9pD3PBCDw8MMPyxzzPH3rrnvx1eFbcF80JKpBr19sw980/yrCXe5mbtVUBNyAAHsE2HwruuS2pjiDGAYapDZks6Y0C2ctQxqRKfGohnI71VHu2vo6Mpk0Wlpa5a/MJjJY02CBCiW6kkDwIMGczyjrtKs/qRgI0PCI1AimlA+0KmpELog39b+tgvdZ4aC5E4+tI5JXUqIjcmtLC4Ih5Xyqbro6nBcWee49DYBUOOYYLkHz0tIywsEgYrEmlR2XxS2k00lRDmKvAL0RzExa/uL3+xDw+2GZWZjZDFbMEFKWH2G/hc5wFgF/UP7uC/gR9Pvh9wcQCPjh8/kxPz8nGdd4XN0/HHYSBV/TqXVlUhYL0BeiNIDieRHw46haqOqFBTZBs8rRFFVeFLqq4XzVANBZMXH+naDFcqBEVmsY3HKQQsPrg8eztLQooKi5DMCxk+SbAIcbSCDYYEWA8phdEV6/loBJ/pjpNE6PjUrlc7sVAQb6dEmmRwe/NzS+4/44g31eB4tLy+LrkRs20JaDMSBOvqoKZ8i/dTWODtlja0DUD1zRn+/rqXRPJhBo6ujFohnBXMJEV9TvSltybkeZmBtS8RpeNjHY2yVA4MK9bZU+TqiafMa86EUvqrhsrRbYLSDwyCOPyPO3AQTKn8kGEPB+pTeAgPc5q+ka9QAC5DISAHzhC1/I7Tu5lXzvU5/6FN785je7HhOVEWjdToMv582H1YTPfe5zIFWGgzQjylKySqAHH+jUkydd6IMf/GBVc8ZsBYPUr371q2LW4mXUQ9GHoGl6enpb8m2VjokPtcHBQemR2IlRAATuvhdfP/VO3B0N49XLK3j3fAqfjr0Vs71XuX40A0lFHVDDoGpQUUbeDQiwwZAPeD7sD7f7clKj62nqhjP0NXFWO4N6dTtikMOAhqBAAhv+27SwuLKGRCqDllYVIEjzYUGzsB1Y2vvE4CtMvwPLFMBANoa8yo8KuXXwuLC0gkQqi9b2ODImsJI2Mb+hqEdUTrGPWOQg8xNQOE10TSXdhv8xIyyyiBYdkefR3NKCSDhYkG3OZZx9KtssmVE7yObnKE62es9WWFS/s6JgZjEzNQV/wC/BO7PNmXRaFubywVBIqgWhYEgACF95/ph5VW6u7M9IY2HDRAhZ9IRSyGQz0jBNnXT+EJjLeSYNhz8+Q6oPBAeBQFC+q/ITDMBnu04rp2gDzcFKhmKslriXc0aGh6WqtB3XVoLWdNbM0aMI0k4u83q1sK/ZBogWMDUzC38gKNcU9ydXpTHzVZvNVSfOhfu3k864lMolX143JCsbC0vmd3F+Hn293VIt4vUp7sMECvY1qSacixMoqX3ga8ZSFCCCZL7qKtLshtoP9giESIey4SMz+6l0EstLSxjo7bYD/MJgv5h65zwiUpzG1iw5jiv6qgcCJ544iVC8D2uIYD6RRUeTX0BKRxl3bnVtq+8anbm9AAF+tx544IG6AgHSc+644w4873nPkwp2vQaBAKvv2/GxaVQE6nW2nlqf0wACu3y+6gEEenp68Na3vlXoPc7BYPMNb3jDpvf1Msz4sxrAG5/zhvc3f/M3ePvb3y5UHCqhMONPyct//ud/Ltg+g/m9e/duer/UlPMmRdrKF7/4RWnE8jIaQKC62eLDhLQJ9mT8x/eP41+Hfx+P+47jF1ZW8eHZeYz69+Lvhm5z3VhxRcAVCIyNob2tTQJfPRggn1hSQR/59ropuAAItNnGQmUOY2FxEcnkBrq6ewUgZCxDaCgECU7gQFlTJUrKgEkFnGRoMIBStBwV8KmgSWm9p1JJoXHo7DqpJCuMqw1mdlVQr4P1gJ+BmwrgnDQSHudUQkGTg62KGiQN0aOj6O3uRjTWVPYkcVln0MkAksF4Kp1COpVGOp1CKp2Wf2uTKoKApqaoHewH0RRRdJpSN/YcEADA7P1iEsL33ufSB8GgWYMCBlzSHBoO597j3zQNidcUQcGi1YSUEUJzUNFV+B6pN/5AoNCVms2iOwgEOC8ZnnB7CBhdUo3ph9sZhKsZYvUhFAqis6Oz5LmRXo0iKlcxtUsDiMl1ExtZxaGn8V4qY+aC93Q2C1Zx2trjkv3mtUnQq9fV1Q8N/nLXlgBFXkuqx4HvGwavaUvAKseeGNAUZKCvqmLM7GdTG5iZnMChQ+4VvnIXI4HA+JqiBnkFAv72fmwYISxumGiPVA8EOCesRAz2dOGFF+zFBYOVKwK8Lr///e9L9bleg9TXO++8s+5AgEkc3g+2Q39tAIF6XSVPrc9pAIFdPl/1AALMDP7e7/0e3vve9xYc7fnnn48rr7xSaEJug3QirqelO/Uy//7v/45Xv/rV0mtAWhF7D1g5+Ku/+quCzbz0pS+VUiZpQtUM3qQILLh9Zlu8jHpIe9Isi06k27F4r3RMzG5xTlkV2InhBALfuu9B3Pv4zfjPWAAvWFvH+2cs/HXzO5DtOeL60UK3cISYhql8BJxjzAUIaDUdLre3xZdT02FwNrJsVwQ8AIGenl4BAKREaCDATCkzpwzGWUHQQT/3l/KnOnCT4NrBw+c+iYJJKgnLyqIlFpNAi/u8LP0LzLYCAb8hxmSaI60DMg0GmN0l/3p2Iw8EGLxxudPj4+gWf4tIjofuNFTiPgh/P5tBIpksCPr5nfDBUBn+UAChYDgX9M/MzAqPvr09z6WuLB9qVwSoBLRuYiGpJF6p9V5usBLGY6fhn3NQkSmTySLNCkI6g9Prylk4ZCbRbiQkC67jfVJwWD0I+nkcARh+BRIIFggUGLwTedWkIsDqlaN8RXra2JpKpZ8TVxUODgKBcCiUo0zqY3MG/ypod/+R68quYnEZ0o9IjSLNhkCAwboE+zCQTmexsLQkzfS8SkiNUiDABqY5DpLaN10xclKQuNu6OsQqAVWfCEqHWtmX4RMAoCk+yURCjo9JGq+D5munSQ0KAJd7rAigtR9pP+VDTbSEqwAClgnDX1Su4QAAIABJREFU75e5oPng0ICiBh3dUxkIzM3NiRP9bgCB5z//+QKM6zXY38X7QQMIlJ/xBjXI+xXZAALe56ymazSAQH46eZOjUyN7Dq655hpP81wPRR8GuRMTE09pIMA+Dg46N3/vzv/C/U+8B//S2oLnrCfw3pkw/v/Y24CeZ7rPveaq2H91AwLjY2NoK6oIcPHjlFW0gN6YL2fmJFlayodaFg635bO0+sMVD1oF2HydX17FWjKNWCsDXws+5vKd8auNSlRWXeXFJVCHKcGSomIovja52xJQyWIG5heXsJHKoL2jU0ADAcXoqtoTGm6RwuEcOpB0cuXZ/Ly4oXaiN2Y3PsMCewSaW5ql2kXeOnn7GeHpZ2Eyqy7Bsgk/LJVBD/oRDAYQkoA5iKDw9FUAyMNV8ovA7Mw0msIRxNtbc+8FdZNsiW+PsyIwkyD9STm+VlJGKgUEij+GTeEEAnlqEKsKbFTOCChgMMw+Dx5zyqYh8W8cnFMeP1WPOFfRpohQkAgSNGAQ+Up70guaqh0N1tIs7Pchncln8qlaReDDAJ9gVAX2FmbnF4QaFGtuLgj2NxUr9InOqRAVXA25X2i4t5FRc0qlHPYmKCTEXpUMFhfm0d+jqEGKEqSuS53ll84RXX0QsKAayRU9SIFd3UzPpvulpLoWKMurQbnujTAzKawtz2PfQH8OHKgegAqPfWlCNnF6HYh5BgJPINMyACsQwlrKRCxUGQjQkZAgkVN1YtHEeUN9eNHRQRzuqezaSyDwgx/8QORD6zVYCb/rrrvkGeXVnX47+0ggwOv3yBH3RE01225UBKqZpaffMg0gsMvnvB5AgNSgX/qlXwKbhp2jltQgalUzgHeOrVCDyAv+9Kc/LZbxXka9gABlUqttfvay/3pZlrnpKkxK1U4MJxC479FR/NuPP4j7Az/DpYkN/N3kNJ7wH8Q/Dn209EczIrWHSCMWRUwEAq1trbmGXr0s1VQYxDA46oyobWggYJmm8LY11SdlexOQ7iMBvwRhBhLra0im0znuOKlK5FbnA3wVVMnv+v2AT7Ltlcbi4gKSSeVarMfxRaUJzx6B1lBe7Udzt/NUIxWsraYplaoaXnuaoLLkmSxW19aEy29mTfBYGblJdpyZcDbwSjacXHu/cMM5iqVEcztlR3t8WVpeRDAQRFM0TzkiV18e9voc2f/I/U7jN1t6cyVlYS2tZF15jM6HQV52U1VF2FTL9QjySm6b4IQZcaHGWDmlGGcTr5xR6cHOU4Mka27SsVqBo+WVFZkPop9shl4VWcmsy7yQokXVI59fgn02MvOV8+g31L9J9jL89JjIN2GThkYwQACompjVUfC4OP80KXQOzevfdN3YGXluwZmxV4pDhphw0VOD1Ki9YtJmNwsbQCadApMJ0izs+B5VujaL/05wQVDAZnZ+Hs9cJ683AmbdPS0ViBSWl5fQ1d0jm9DHxH3NVw6URK6uIuhKFc3XJrYIBJLNA/AFQtjImIgE/TkpVbfjVMCHQCAg1wD9C579jH148dEB7GkvT6Xj9qjixh42r88Lr3PuXH51dRV333133YEAXeH5vWElf6ujAQS2OnNn9noNILDL57ceQIB8+87OTnz+85/PHS0dGePxeFXNwmwCdjYoUfv/s5/9bEGzMG9SvCHrwYcwaQS/9mu/5qlZmDSHv/3bv/Xc/FUPRR9Sofggv+KKK3bsqqknEHj4xDC+ffcbcXtLGuclk/jU6SV8ovlmLPeWUWyydeglKPMABCgLyACJGUZquFPOkIHo6TXFoe5ushAwSFtRU+uUEGU4RVWTdGINZjqBPb1dknFl9rukfI19htiAzAxzpaGAQBK9vX25RaloRDCiwIv7rZKBfTqTlmbdxUQGkwkGfBn0GcuyHWazmRGPxJoQjkQRDIZV9tPWTdcJY8E8DI6zqpaxiYoiDrV5bwD+fWl5KScfKh8m/HHFO9dDAq2c54JlB6DqWAgCeA4Y0NLfQZa1V9BARM4HfQRW6CMAtNqKTXKO5BrQza3qE3VGXMmHbt6mTlvr7bu1C8/NzSIWjSHSlG/ElEpKlqBA9SWIHKppCnDg+2IaZ2+MVQ82NNNTgQE3KypJ04cNyy/X0UCzX7LxvK4WFuZEeYl9LVo+NPdqV18K3y//yOT1vGJXRGhE52hTkOuL94+DBw/Ivm13SPUlo+g7g7YzNO+7WjloaT2BqdkFdPb2K9lQG1hzfoqHriJQTSnsNzC5lhVDvbaQR2oQZZxjexAMhpBmz1egPBDg3PJ8EtixCsdKxDUXHsKLz+9DB229K4zdBAKkw5J2W69BQQ5ezw0gUH7GG9Qg71dkAwh4n7OarlEPIMBKAOU/yXHXfGI6+t50001VyYdS+YfmYxxULaB86Itf/OJN8qG0QGe/AAe9AJil8SIfygcCAQt7DShP6mXUQ9GnHkCAfFdWcOglsBODxnKc52c+85mY/dHX8N3v/wZu64jjQCqND0504h9a3o54Vz4YLt4Hp7uwKxAYH5OMPSU+GZCSJrGWUepAzJiHfbZ5FaUObZUdLtfdxCw+s5OGBPnMUvKVP6KmYxhYXFxCYiOB/j7n/tk8mRKTtR0gMLqq9p9c717J8DPg14279r+p1EMpUwb8/ggWrCbJsFMmlUo9zGDz2qSCFh2yyw0VxFd31hnwnZ5io2sEbW3tCjjYGXMGxhyaOqO3KPhAKgLKIIr+DgtJZbqlstd5yVJppLbpNnx/fn5BlmOjq17OWQzSCkxz65Y0y0b8lijZyANGqyE5ZEcZiEtlQAunOioXkxOn0dbWiuaYoobkTMOKtuXcLneWYED7JcDMSkactCOCB3pCLGf8CFIhKZCQDDSrNGx4ZvWBRmlONSQGpiU7rsucIgUEfGgOmtjbTLpL/oTWGghQiYv0oHgYrlKt6+trmJqawoEDqkeAlQRtIiaUO20kpqsIBOL2fJ9eyWI5rb5/53T4xByPgIPNw7rR2m0ajj9+AomWPVKpYu8D+z60uZrb8hoIcLmVlInxVQPXXHQIL7+gX6oJlQZNLpmoqmdFYGVlBffccw+uu+46+d7XaxAIMIlAT6CtDuk58vnq2tuw1X3d6noNIOB95hpAwPuc1XSNegABbSjGAN5pKEbtf6ehGDMczKzTpVcPKg1R/pPuwuQmUkmIzb9uhmIM1pyGYmxq8mIopiVH/+zP/gwve9nLPM1zPYAAaUH8nGJXZU87WmHhnQYCBGsMlggE5ldW8Zkv3oTbo0+gM5PFd0fH8dPA+fjc/ltL7qVTOahYNYjn79TYaQSirUAohkRG8bBJNyAtg/QMBhEidShxFuU2lZTn2W1sdsw3cbrtwOLSkpjVDfT35/7M7GYJ8RlZxjsQ6BVKTzqVwviKKfsdNFNow5pQTRg8Mtsp3H2R5VTNu3y4siH1NH0E7IZUvZM7AQS47cmpSXmgx+3gXI6XJmbONHTRRBKY6Gw0zb+mE6pX4qz2Cs3CU1MCarptmkmpC0RlqQ00+yvIh/p0hnrzlkZGhqVaqf0itvL9CvhpUJVXDZpcMwX4hI0s+iLsVVC0LVZVtDyqAg1qHYKPAolUWyZVKFx2g7MbvYfHv5LRQKDQ8K7WQIDUNQbbpHXFw5vPXzEQKDWPuoqgwAGQsTPz80kFBA605QNyUY7yK9dsgoJosLDn4GfHTyLV2i9AQKQFfKWBgMwxjcSyGRiGH0tJEwvpAK46cgCvunigKqdgAoEf/ehHEpTXa+wWEOBxsgLBe/dWRwMIbHXmzuz1GkBgl89vPYAAD5HccGb27733Xsl+UfufqkDOZicq9ZBrr/0BuB5v/AQDBAC86dJP4GMf+9gmwy9my2+55RYBCXxQ3nDDDbKcFy1wfhY52rfddhte/vKXezoz9VD0qQcQYOMbs8f79+/3dPzVLkwgwCwos0qZVAr//k+vw5+2TsBvWXjw1Dj+tumXMdH/AgQCtjNrUYa6GAiwQXY9DazzNaMyx6R0NEWaVEbaMiXLz4z1GpsofSrDyOCL655aFiKMa7Nw8TG5AQGpUJTJopcGAqqJldKcmVQa5P0yIOFOc3vcbsJowroRQVPIj6E2nwAAZuRKjVJAYHRkBJ1VVAQUo7z6W/J2gQAD48k1GwjEzywgIJ4XDiAgAXqK3H0Le+zqB8/jxMRphMORnGoQAyUtmVrsqyC/ZzI5ozJ+F0TtKKjAQdAfxGwmiCSCQn/b38b27/z5pPTt2Nh4TahBeSUu1fwcY1NM0WBT6/R0viJQ7T2CwPCR2QxOJwz5vhIk8vvN6phUYXId8gS9yvmb1YJo0MDw8AiMtj5p7mY/hmVsBgKKasXzkxXAZWYJGHzS75DyR/C8I0N46ZHSVUnncbCJnbRUJrHqNeiyzecoqxDl7ge13h8m3/i8bgCB8jPbqAh4v/Kqf+p433ZjjSpmoF5AoIpd2fVFCAQoncnqwytf+UpP+1MPRR8qBhEkeXU99nIg9QQC/hPfxKP/+Xa8aUA1yP6vkV78c+xXMRhvFiMuDp+tMKKbNRnYLKft4D/NBk+q9+SlVFh9ijaF0dnShBjpBHbGUDUGK0L5oXZqnRcCgUNt6r1yYytAgJvUdB6txy9a/OmUNKDy+BjgE7AwuOrq6JQMPx/w1NifTqim0EMVMubcb1Kf6KBMMEGJSj2qBQJ2m3DVl0utgACDsbPPcCAwumIKUG0LAn1UdLJHMRCoOPm2mZuAhSIDNv4+nfBhzfQjbKXR4U/YDeFUgiKFxBDA2dvbI5ldVhfo4lzYpl1xD2QBDaJJ4TrURtlQdyAwMz2NoQMHqtuovRT1hx6Zy2Jqg+pPwKU9CvySWsQqH+dRgAHbMkjvyn1vLYxNzsEfbUMs5ENziPcPv1Qs2sNs8lZHKhUre3d59FmiCfgwnTARamrBNUf349pzC2VqSx3A0w0IsAJIxbetjkZFYKszd2av1wACu3x+G0AgfwIIBKifz36EV73qVZ7ODIHATiv6EAjQr4DeCzs1HnroIclODg0N7chHHDt2TAJjaTjbWMIPP3Mjbo7PyWd9ZfQ0RnA5vjTwLjQXZRiTwudXWf08FUeZGjEOYEaQgf/y7ATibc0FTaUSRFgWji8qHf7BZkMymM6KQDVAYGl5GWuraxgYyFODnBUBUj1SGZvDn0qrbH86LVlcMQMLkdKjaD0B222XvHBGJXTapl8GFZv0YGB/eo2hloGz28vTlmoBBLgNL0HhdoGANGsTuEBVacqN6acaNShAykmeGpTj04fIp98GEKjwraSzMqlRUV8W3SF17bHyxFdSg3iNyTWboyApyVShnGmnZnFtzrs3u1GQeO5o+KVAZ94bwrl7rAhsBQiw9+eR+Symi4BA8aETOBMYKHCgKoIjU3PwN7UhFPQLcCBAGWrzYyCW7z9xbkeqYApNgHPXEY/juqP78OyDHVXd/3YDCFBo47777hPJ0u2oP1V1gI6FKMZBnx2aQW51NIDAVmfuzF6vAQR2+fw2gEAhEGCT7K233orXvOY1ns5MPRp5aSZGB+MzBghYFh747O/gXb5vy1z/4+lJ/BCvxo+6Xy4ZPA5m8ucSbPRV+vUyDBXIR3ymAAAaUmm6wOnT4+Iq7FSX0SfyxBI5zapHoCNiIJmxQGUeUoO8AIHevl5pWiegyWbSSKYy6t+2bKZo8AdpwBVCJByCz6+CrHLdn25AgEBFqhiGgYNVVCy2WxHQ81QtGKgFEJAKBoBzz3AgQKMqKud0RmgQt/NAoCUEDDgAB+fYSQ3i71peVoGFtOP3tChP6UZjZtJVXwIBAl/9WDFDWMrSa8KHszuCrnz6rQIB8n0o48mKQIujIlDphsz9ve/4BAItXVIJYNKA37nWkIWWEPsYDLSFC5uNqTolClIwQLC2t79bzMSqcRXm1tkMTcddr74zlY6l3N95r7j//vvrDgSYJKLM7TnnnLPl3Wd/GKud9TRC2/LObnHFBjXI+8Q1gID3OavpGg0gUAgEqLHNhubXve51nuaZ1QD2CeyktCcfOmykpj/CTg1mfajsxHnYiXH8+HHJTLIi4H/iWwh//k24aGivmDS9daYXd+I3sLc1IAH+3IbSmWcgwgQmG3wppcmHurjm2tk8rT3OzN7Y+LiYM7W1tm7a/bFV0jO4vjJAqgQEGFiwaZdUHgb6iURCAiRRtAGEXkFX2ACz/JLtDwpf2ynNyH3jw6/ScAMC9AY4sSTSNqAUZJNNlyq1LScQOLs9D46qpQZxu9zfcs3Pzs92BQI+5aRcajibhXluqebE4XTbdVv3qV4ReJyNtSb9HWzVKvsged+IRPI9ApWuk0p/1xWBYgoS12M1gAmLauRDeY1TmlaqCaSysZHZ7lFgo/NM0ieVh5CVRmcgKSpI0qegXZoDAVmefPa9e/flXJsr7b9W8dFAoDUIXGJTg0qtqyg/iuJzz2MTaGvvQHfMj/E1iKcEJYMjdPITFSpLPDniETYbi4W3eECwL4fn6LwD/XjhkUGc3VvZTIz7w+QM+9/o8luvoYEA3Yzz/RI7/+mkjdJwswEEys91Awh4vxYbQMD7nNV0jQYQyE8nA0kak/3Wb/0WbrzxRk/zXI9G3jMFCDAgoQKUsXASgc/cgBf3hDAb8ON3ZufhT1yFf4q+UbTEJSighr+PmVRlqqUVVkSJkrn8oqCT54HN6O1tBAJK016bjs0kKFepAAWdbEk3OslA2zIxGM0ApPWk6TibksCfmVIOBjjiymtZEhR19yiOdQ6AMAxxWvw6rpxqgcCSSJOuo68vTzvi55HOxJRlf0wBoHLjSQEE2CRbBviUAgJnxxW4KzXYdMo5fsqoBhVRg46Js7WFviiz0vnj3DEgEAb6HJUHr0Cg0s1vZMUUSk6zP4OuEL0sVCMzf6h+JMpX0gejQaFRABKUgzUN7fjKfgW6V9OoTQFJAgFSg1gRKAAC9KqwlboY1Du//1Qbuu/xabTH2zHYEsDUupL2JS2ICYCllG06wQqAZUklsSsCtEUC8pmPLVi44tx9eNHRAeyNVzYT2y0gwD4oymK/6EUvqnSaavp3AgHeW6n+t9XRqAhsdebO7PUaQGCXz28DCBQCAd7kfv3Xfx1vetObPJ2ZejTyko9Kjv1znvMcT/vmZWEqQ1Bp6eBBpf1d68GKgAYC3PbY3bfjQ6N/jIfDIbxtcQnNi9fis9H/R4yEKOdJCg+DAWegLcpBlNI07MY/x04ysHKrCDDAoGb96WXVZDkQSmI9mcHYusrY9/jXRDecQQl/8hn+oAQeHMxustmSDeUFo4w503aAAD9DHJEddKYtAYHRUfHHqOQjwG17qQgQmIbCoQL5UGZnOZ8qptfi/Mp9VjTifb5cwE85V1FtYrNwu4GAS8OpHC9dbG0gQI+LksOC8LxpqNUSsrAntjXTrFOnhtHREc/Ry5RHgToGyZQXqES5P8KoeqV7BBh0MsjkVvYUAbqdAQI+tIeUrKdz5CoChw566gVxm2/S7Fix6orQVdh9njU1aM/goAIIWYID9i2ongVNSdLBvDZfI61nLNOMxWxYwP/FPXTCDgjdpwxWFPnc/z6pgMD+1gBOEwiwv8YGmazILKUg9wGansn5tEwMtQUQ9CnQ/byjB/HzR/rRyU7jKsZuVAR2CwhQWprO3tqrp4rp2bQI7w06sbKV9Z8K6zQqAt7PUgMIeJ+zmq7RAAKF08lGqJtvvhlvectbPM1zAwhUN12kNlGLnx4P/pF7EP231+DdPV34RiyKC1ZbcHz2A2JO9IwOqn643x4ka2gpjf7i7PPpiQlEo03iDKtVejSffz2VxXQ2ItSdfVETwXAIU+mIBPqH2v2KPlBmlAIC5SREua8MfCoNt4oA1xlZsZA0gbaQUdBk6rY9aS5eVRWQAmoQgUBHJ6KxvKGYo91CNiVhumHBoLWvcKbV4HJiFCYNlU7akCX8aAIm+giY9hrk/5arCFC2Uau8SLO2TX3SSk6l5ml6alqCQFZjyg2to9/iNzHgkOksXkeunRIcKOUj0CHZz8rDzjI7Zkz06WUeTKVSQyDAyo5lYajFQJQlLtstbVyoQWF0dHTKR4kUrd5k5Q/ftISiBhEImOiNFl7PtQICm4CNi4cAd4ygmc67lYQHxKlZgAIN2dIip/uzZR8W0n40IY19/sVcVY9Ga1ouldKp+QbnAJYyfhwfn0dnRzsGWoOYWFPAtliRivvP/gFWCNm3we8oDfsmEwauvegwXna0H1GWDasYvO9TEpnS1/Ua8/PzoAM8qUH1HPxM0kYbQKD8rDeAgPersgEEvM9ZTddoAIHC6aRG8tve9jb88i//sqd5rkcjL30U6Mz73Oc+19O+eVmYpjHkgZIitROjAAiMfQ9N//oa/O94M/6hrRWXJjZw8fQLcX/7S3BOvPSDWCoBMKQikEwqGo8E/ek0mIXUMRmzz2K8xQx/mBr8QQwnlDTnQEwZEj3OAA0m9reo37mOyl4bsNhJKPEbtf0trJSoCOwkEKBq0FoaiAWxObC1lCuvVEsspZyiOPcWzhX5UBXcU1u9SyoCsVx/QynrAz/11atsEsgBgbhy++UQ/fwy1CAnEEhlLTyxpIAL5VHdJCj1dp+8QMD9W8KAlTr1HJqCpqQ2lXu1HiUrAgIGSDnLt5i7PyxVlYKD/6cJHQ3F2oJWgUwp/76xkcD4+Gkc3GZFgOeNFQHuz1CrgUjAHUAXAwECQNL9BHSKE7U69wWXG6U8LeChGRPLaUMcv8/r9In5Git5moKUTavKXu73TAYL2Qg2rICICFBMYMWIIOz3Y6jFUk3O9Fvw8/uv9pcVDVbcaDqWzppoCgWlIvDqS6ozE+M2eP5Ypa0nEJibmwOz87sBBGi0d/jw4S0/GhoVgS1P3Rm9YgMI7PLpbQCBwhNA7vqb3/xm/Mqv/IqnM1MP/j6za2xMeyoDgRMnTkim8IILLlDBy2NfxefvfA/+qDOOPekM3jxxCf4t9noc6cpTSBgs8AHCQJ+8Y9HlT7OJMWXTUAxR6AkFA0hsbIiZGDNXlEQsVsDRVBtSjqjgQsoGQ6k9zTR7Kn87oqPnysoqBgf36Bhbghl+RilTMU/UoMQ6+vr7FIVGOSdJ1pJGR01BYH+LdjFWwVNxMM/mWzZIku5Q2CxsU4McFYFSF7c4rZZzSHOsuF0gkGYztGTKgaE2BpRlegRqXBGQ/pMSaIju5pTQra4iUAIIOCojpECN2P4OZ7UbkoGuCAQ83X3yC4+tMtttCBDobxaHjZylGL8b42NjOGgHcqp3xvsjWJq87eMhpcspYal7eLjV1bVVJR86NFTWdE/vPddhgzLHA1MmEiZ7Y0gbq0zx4qEcn09hanYBe9ojUsVaSvngt9LoMhJIZzMwbYBKQEIPhVDAjyRCmDMjSFkBBCMR3HDpEG64ZK8Ah2oGgQDpjldffXU1i9dkGQIB8vUpH1rP8cADDwjFcDtJogYQqOcZe+p8lve70FPn2J4Se9oAAoWniQEqG4VvuukmT+eP/H0+EHZS0YdA4JFHHsFVV13lad+8LPzjH/9YuOTbyfqU+zwnEPBN/hBN/3wDvhX249293fBbQPfp30PQ58NZsRSQZdCfFuUeU0x/aL5l8/fDYUTYsGvLGeqAn6X6pmgT2tvaXXeD1Im1rIHmgMqwH19URl59TSho4nRbmdQggoE9e/YU/JlxnUXKizQNq0yusMptmkc+Q25z5e2/M2hiMMbXxYUFrK0TCOSbhfkhi0lLTMW4RTqslhu1AAL1rAiQsy3N0AD2tRqI1hEIqDPkPmoNBJbpl7CmACc1952j1j0CGgi0BCwMNLv0CIyN49BhVe3jtScN2rYCl+bfa5CpWUpOnhiv8oUNC9MbFlizk2vSIBBmJl91UujB78rcHKlB1SmQCTizvRfumTCRhoEDLcD+1spAgN/hx+YtzM7O4JkD7dhAEKtZH9Q8qPW5j6wsUBCAcqlZVhEzWSykDIxtBAF/EBf2BPG8AUvuM1Rz4g+18/W/na8EQFRhYpWznkCAzwGqu9FZuJ6DDcp0nW8AgfKz3qAGeb8qG0DA+5zVdI0GECiczosuukg8BN7xjnd4mud6NPIyE/TTn/50Rx86Ow0E6IPAAOG8886D+aN/Qed3fxsPh4J47R4VAN863IGH0s/CdOQsefiGQqT2KHlOZul00zCzqszo6gyiPlmVgMAsM+xJgO0AB9p8djMu0Bm2RJmo3CgFBLQOOQMhnRFVnCJmf4EMM5E2916ZICvAoGj3KogS1+K1NfT19hckaRXdR+0VaSWBMu7HBAJjtsnTWe2KH80xOlJ9RYDrVFkQyPcIbJEaxODtmDTRAntblDdEqVFralA9gQArOjMSOFs4XATmdgIIiEQuKwIOB2POq/QIOIAA35MZJwXJ/kV/v6RaYNOT9HdMA4WpdWA+aYI9wqQG0ZvDTTWL3/P5uTnsr9KckDhQN1jfcVrV2s6OAwNVNH3Tb4ReDbMzM7h4XxxzmSA2TB/iRQZu+vqS7x99P+j8bfrwgykTsVgTnn9uL37xaJfMFeWC+ap/+Dulj7UKGbXwCQZYody7d+8m4MB71k7Ie+4mEOju7t6WkESjIuAprHjaLNwAArt8qhtAoPAEXHrppXjlK1+JW265xdOZqQd/vx5A4Cc/+Yk80LbTEOacON74ydvXP5wnPkxFKYQZyekfoWPm27hpcF5W++vJaVyZ2MCqrwW3D3wAE2H3XgUlM8i0JnnY+duIAIEmRQ1yG+Jmy2CZTYTthlAcNrJAe9Cq2Iy7vLIsykF0n3bmKIXnbPP0iz9TqEFldPX18ktLi9JE3d8/IAEYhYiUNrqFxxdVsLa3hb0Cih5kkfxgqYqCHqWAwNjomFBdnM3CpS5ukWStki6yXWoQ9+HReUUF2dNcXh71qQwENL0rLLK1hY88Ngs31dBHgBWBhO2VwT4YLbND/Lie2MD4KKlB+YqAp5ucvfDwsiWu3G0h0o/8Ahx5nduyYNAkAAAgAElEQVTFhRxtbXnZGxDQFYGUaeLeCfW1PtJZWpXIue9UAppaszA7M43Lh+IYTQSRsXzoalLSw27fS9OkupWB4RVgeMXEYHccN119CEcH20pOC79vvH9pkMDvAANzfr80YCAwUPjK2FRNcFYX+O9qKUjOHeI9lL1c11133VZO35bXoYlZb2/vtjxmGkBgy9N/Rq/YAAK7fHobQKDwBNAQ7KUvfSne9a53eToz9QACVItgxn4nG9O2CgQY2DOQJf/fGfjzgclBcEFXSvL8+TBgUzYpSMwm/s13j+HfFn8dKd8K3js3j9cvr8o6X+y+GT9qdTfq0cpBhqn1atTpqgQEct4BhoEDrQZmaVqWgVAIijOo3J4zAU8QsLi0jMEiapAsZ1coii8a8pE13aHcBbW8tIS19TUFBIoGG5oZLvc0Iee4XLCIndGlrjubhfnfOR1szFQmSqOjI4h3dKA51qyoSDYtRoMIaTa16eKkfpS2AyvcsVoAgcdEX59ZXwOtDn394jmoNRAody5qTQ2aWLOwnLYQ9avKh3MQCESbmsAmTBU85pu/VZuIUmqy2WQF1SKFAW1xUyVKhNFlUzLhrAj0FVUE+F08PX46Rw3ydIOzF+Y1c8zu6+htstDRpICA21hZVUCA5oTOCozgYpcnv7Q9mxZWUyYenFHLXNJDgFiZGjS5ZmExaWJpZhIXDXXh5Bo1h33oi7pT/kRwwFQNyUwGEKxdf3Q/Xn/FXnQ1h6uemrGxMZw8ebKgb4v3t+JKQvHvmi5IIFCKgqRBg7MHgzvG6jOfA/UGAvfddx/6+vq2DQS0RHPVk/wUW7BBDfJ+whpAwPuc1XSNBhAonM5nP/vZYtTy7ne/29M814O/Xw8gQOoRS9qlTGMY8DOg0MG+Dvz5HoMErkvVIQb9zh+d+eJDk86YpGDpcez0PH7rrrdjJjiO1y6v4ANzC/h65CV4YOANsAx39SBNx/HZij56W5WAgNOki4ESGzmX00DUb2GfI0gjbaWYRL68sgJWBQYHCnsEygEBEUipgmtTDgiIhGgWoqlerA3vvEhJjxghhqIKTxtyNCI6XnfEOxBrjpW9poUzrg7GDkpVRtkWT8pruNuggUpZPN/ctlaukcDVroA4e1E1AKFCS04Lng2e0qMBCVqdRls7DwRKNMpawPDIMDo7O9DS3KICVpvWpYNZRaTR0Xl+T/PBLiliCoRx0dEVUxyyGZwLX518epsaRo45m9vjHXnlJU83nqKFma1PWUo1qKfIR4Df0YnTVA3auiJY3oTPwlArEA0FYJa4vhUQmMf+/fsL9pLXioBUQ5kCajijqoR0FDfxE1UgxJV9BkIlVImcG6UfRSJtIjF3Gs/c14NT60GZ/FKUMx9YOTExsurDWoZA248brjiMGy4aKGjmrnQu+N0icPTi7SLGhJlMSfqRBg0aqPM75qwkcF1+9y677DIBEaQo7QQFqfjYCQT6+/srysGWmzMCoAYQqHRVPf3+3gACu3zOG0Cg8ATwhn7NNdeIu7CXQdrOww8/vKONvDSSoeHXTtrZayBAahAfSMUZfgIAPqB4M2egXxz08/1yww0IsGHvf/7ry3FHZB5XJDbwyclpHPcdxFf2vBvLoV7XzekmW6ETOAKRiclJoVqUogYxCFHa/AY6wsoiam4DCBnmJtpG8QdvCQjYTZmVrqVyQGBy3cJKCuKEWpxRdm6XQdop9hNYFg62AkFbprJaIKC3pWal8lAVgaBo7utRlXyowxXq8UVTPCEoE9nRRNqT6rNQO6CCbf7HLCgfFt293ZsD83yEjvEVC8spoDWsDMXyRmBqXnKpaC1bSZRj/0k/jIZHRpRqUHNz5UkosYT4KdiA6NSyKUAuHt4cnFPOM9oURbzDncrmdQdOLltCiYmHLHQVOQvXAggsJS0w+85zczbBZoCuvO5XSykg4HpMNmeflTVe748uqGbmqwYKVYnc1tVVCu5Hdm4UB/b2Y4xAgFW/NkNcyp2DtKb5DVOuE2bbl5MmhrpbcN0FQ3jBM8r7VBR//laAQDXnVFOQ3CoL7L1g9TX3fTWMTc3MbhSk7YKFe++9V4QSioFdNcejl2kAAS+z9fRZtgEEdvlcN4BA4Qmg+gPlOX/7t3/b05mpB39/J4CAfuDoDD9L3crYJys8fj7oi7P7DP6ZpdrKOHXqFFjZuPjiiwtWf9+XP4w70l9BbyaDb46elr/9dexm/Lj1arSHDIRdFGWU4y+lRfNkFjcgwLhSlH0s0gEsTCUsLCep525JFnp63ULAUBrv5cby6gqWS1CDSlmeqni2clhdDghQpWVmgwZqqmG41KAc5xNLKoBmtlYHQF6BQLUNw65AQHo3SpOLxEfAAQQo55q2oBxqyzRrCxCgoVh3NYZihq0W4z5XQrUpc6JrAgQCylCMQ7nwEuxY4pTtHLUGAieWFBDojmz+rFoAAQbpBAMRnyXeGwrwbB8IiPGePV/k659aYWO8hefuCeTcrpVy2OZBACx+FKYJ38II+vbswSRVgByuwrzPrabZ5GwhkVWVCCYQ6GbNjz1rsBvXnr8Xl+73BshGRkbAHy8Vga3cN53r8HvHpBMpos5GZjfQwOoBB8+TGwXJCRi4TLlxzz33SH9UAwiUP4MNapD3K7wBBLzPWU3XaACBwulktv1Zz3oW3v/+93ua53rQdkipeeihh6Ri4XXwQUh+fnGGn78z6GdmTHP4GeST18vfa112LgUEPvXtT+KTi5+Sw7pneBTfMy/HP7bdjGwgAsaVkYDix7dQ5c8m7isggAIDKw0EOuLttqurCHkWTBcbhuk6ynd7o8DMOnnYJs4RE67SoywQ4GqCNlzWF1nF8qMcEJAmYNU2gcPtylHZbVD//4QNBPa1AE02ePIKBHKN2BX2eXpqCsHiioBHIHBy2UTKpGqTsSmD7fz4WgIB2W6ZE1JrIKD6IEgLIr1rZ4EAVZjYBcLrmt8X50isJzAxsT1qECk4DLzZXE+aWkUgML+A/fv2Vbxd8aujAQWrROMJA01+4Iq+fH8AT5lqSrYNyWxgIFWKdd4HMggtDCPevw+zKVYEKG9qYCmpAEDatOV9AQRgoiMMtEUMHF8ELjtnH64/vx8HusrT54oPhCCA36+dlI0u/kzSgugnU01lmEDATf3ICRqEkgVIlbe4kuCUS6V3wb59++Rnq6NREdjqzJ3Z6zWAwC6f3wYQKDwB1157LS655BL8zu/8jqczw2w9lRx2spF3aWlJjGT4AChX5tUOu8VBP99nwM8mXZ3l19Qe3vC5TfoUcJlzzz3X0/FXuzCBAKsnnGPnGP3czXgNfihvfWpiCgupy/Cl+JuwghZ5gNvJf/l7S0gFOc3SRMhMYiYXHBMIUG60HOeaAcfjSwyXfELXoJwos/aU3CwVZPNzKwEBuhI7VXycx1fqfb0MG5F5vgYGNjcL5zP9gDPAL55z9jUwqGEANBizcnKcVA1qj7cLjaua4QUIBIJBodHo4WeG1VGhKf684orAsDS3AvGQUVa1qVogQJ+IVarmuOjoF+xLnYBAXiLVslWf6gMEaMRVDDq2CwQ0BYcVlf4oVYMIBEgNcs/UCzWoSiCgPAjUeGTexMyGIT0xF/eUbxQmMGCVglUzv5WBMT+M5t59mEsHkMwAsRBBvrJnZq8O3cNJmYr6TWnw38gaQqe79sLDeMmRPrTSuc/DYH8A+zyuvPJKD2ttb1EvQKDSJ/GcUuXIrbKgAQRVkvTQlNBifwUNIPj3cs+mBhCodEaenn9vAIFdPu8NIFB4AmjbTnfhW2+91dOZ2QnaTvEOFAMBZnucCj068OeNnTdjZ8CvA3/esItVKJyfs9NAgA9ONlYXA4Gl4/fjxh++G3N+4LfmFvDG5RV8ouXXMNH9XFH1YdaPpX31kDGEtkQnWvLKI0Y2x4efmpySKgYD33JDmipNZh2VapDm1YeK+MTObaysroLnwE01iMsJP96FJsE9lubjMqMcEOBqNN6SCkYF4zPJCBvAQNRCi519fjIDATbSrlO+NcQsdunHgWcgwMbcItUcPf3SUrDDQMDn98s1msqySqMEWQ+05elael9qSQ2SQJ3cegLBZmOTU7YCAhM4eOigp3ubXpjcelYE+DnsQSH1TB2n+2Syp4b3xUoVAfYNm2wUscePZk0spg10hiEO45UG6WWpLBA2slianYDZ0oeVbABBn6KbcX8JKuIRQ6pkok7ExnifgfkNYA1hXHX+EF55Yb/nptvdAAI8h4899tiOJp2cc87rmGCAhmJ0FuazpNhngUkmDj5bSoEEvq+rDpV6ySqd8yfz3xvUIO9npwEEvM9ZTddoAIHC6aRi0DOe8Qz87u/+rqd53g5tp9IHMYvC5jAG0Gy2ZQaWv/NmzMHgvjjDTxBQLuAv9ZksOXNwDnZisJROqdViIID1edzyxVfgwXAGL1tZw2vnuvFHre/F4a5objdIfWGDH39SJF3bbr5ZKwuyYAgMEkvziIX86O1qyxlquR3HzLqFxRRrAuRUcwkL+5vzdBq3dQQILC5hcHCzahCXp1SoW4BZjZdAJSCggAsrIeSal75t5gCDnbHlfnkFAtX2CJAatLki4CugahXPY3FFYIxOzxkDrUG4yrfq9Z+qQICGcCPLKmNOWlexIVwtgYCqdEmYi33NBqJFBm3bBQJ0uaZWPz/hrDYFyn0+yoeWBgK8L+7bu7fsrcTZH8AFH5xW1wSlP8/tcAcCPNb1DECaH/tiMhbpSiZWF+dhNHciA59Qi4ZaWfXLN84rEKjOB2lNYytZtLS245oj+3D12V2eb3mscNIUrp4VAX7esWPH6gYE9KTcddddQhlln0Dx0CpI5XoWdM/Z9ddfL4DgTB0NIOD9zDaAgPc5q+kaDSBQOJ0veclLxEL9wx/+sKd51tn6rfD39QdpLX43aU4uQ+6+drEkzYM/DPgrNXl5OZB6AAEGdTRuc47wN9+Hvx7+Ej4Rb8PhVAqvnPw5fC78Clzcn9f09tNgy9a8Z4AlVYKMak4VR18YWFpeBnsHYrGoZCxJBeAPewyYIdQjx7un/CiDAsMoyKJvBQgI/8DljlYLIEAtelZEogFlvlVqsFmUydWeJivHEfcMBKr0EnACATFVEx18HzJmVrk+2wqsfBXvN4kXfWK+Jn+zII3bPJdNfkMATqlE/fzCgkxtO/X2y2TzqQfPZlBWeopVc/RqMnu2+qeQy+zTpl8nJicQb2tDcywqn6kvG75KPcp+Lf7dSYnQFQEGqqQrcZwT1xWt/NkTIBCNIl6hglXNdzjNptllNa80LiMwdg4mDyYnJrdcEaBakDQK+1WjsJxNv096eNwGKwLVAAFnfwC3c98k+0YMocEdbFNAgEkA+mQw+OdPkujdMHJggAfdGTKxMj8Df2s3QkE/BpuB3phf5kMXLZTKmNphnqPHF7M4a7APLzgyiCN7WquZ5oJlCASYoafsdL0GgcDx48d31GHe7VjuvPNOeTZSOcjr0D1qBApUdGsAAa8zeGYv3wACu3x+G0Cg8AT8wi/8gqgifOQjH/F0Zqrl73OjxVr8OvDng1pr8btJc5Kz+f3vf18eALUM/p0H+uijj8r+0fBrJwYrAm5AIPCzL+CuO96H9/TE4bcs3D88ho/4fwPW4OWIUIHFRddf7996xgQ19BkoTM0vg1r1sVhzrsyvglQLlCNnwElgQMWgsRUVuKaypoAGZ/DsduysCDCw2euSEdPLu1UFijOe7kHTMlZX3HsEuPzchpI55TEcLHKndW6P8pFpkyo8edUYNyDAOSFgyP2YKlji7+RUM85yBvA6kHe+t7i0BJ8/gGg0lovNVTVBmbwV39xVEG03e3KnDYBZ5o0MaSaKupHbUNHKK8vURQVaWlrU4ZZ4cpArTqlOSq1Ks6zrcg6PCEkR6w0qqMAeFl4/pJjlPssBPtyOTZ8DDQ5UNc5SPhUpNrhbQtch84w/XI6vM9PTiEUj6Ghvzb3H97ci9SjysUvqcA62URWrtkCA11YqYykZVLsqZRj+Tc34ei4IynlfrFQRIPxzsovuOm0iA0P6XFpDPgn2SbESKVm7UV57VRAcc932kIW90SxGR0aQju+X+yN9QXRVhEZ5usde9TTw+vfh+JKF55w/hBeeN4CB9ojnWx4rtOTs1xMIsCfhxIkTOypV7TYRd9xxhzjOu/UxVTtxjR6Bamfq6bVcAwjs8vluAIHCE/CKV7xCbnQf/ehHPZ0ZUjsefPBBKddqSg6DLWZAGOg7G3cZ8DPY1o1XTnlOZvlLZUu4jQceeOApDQSosKHNcAomOJvC8BduwuuMR+Xtj05k8dfmh3CgqxkdkUoNgwxgVZaPDrTwBxFpbRdgwB8GhhwMUhkZCiywqCWuNOszWbqPQiQXyVNXy20eq6trWFhcKAsE3ByGWaHIZO2dKHFV0ahsdWUFAy5mZVxFlI7WVXDOpma9jzqg10H88IqFVJb8cMWLZvw0OTWLKK+rcER+57I68MoHtbZ7gCiy2Fr+Zb4B3I+VlWWhhkRjVFpRkbIAAW7cZQr5FisvjJFF0pUVnJSieBAIuFGe9GYIwPjvtvbSvR/c5mzCkgZQVgRKyZHah5irWEj1wvZ74OvM7CyiAgQiFdWenFPkNErTjeM8b6sZIAi7QqEPyAYWC4uLUuljVcAJMLitAtDgy4MHJ5DQgIKvKdPC6VX1AYfbKb9ZOyAgTc+2ozD7T3QjMolCpUALgcDy8hL2DrpTg+TaBbCRVrQ38vwTaQs/XlCzyobnNl4Yms5jQWSEY7rK589XQPqaLMT8WRw7NQZ07JOq4Nnxzd9lzkkmoxqFVzLAZMKH519wCK+4oB/hYHn5TLevA4EA5TypNFevQYnnJ554ou5A4Lvf/a4YTTaAQPkz3aAGef8mNICA9zmr6RoNIFA4nb/4i7+Irq4u/NEf/VHV8yxB5fy8qAaxdMpAn0E7X5kBYXbKLcPPAMBL5k8Dgauuukr0/XdisAmNfM/zzjtvJzYvUntuQCD8nQ8i+NAncd3eAUwHAnj24kGsrL8KoVgXDrWXBwKBgAGaknEQCBBIOVWDGMQw60zKiLxmKFUIcRQlF5m/k09MygMDnKCPNCJWDexX+9/J9XUsLdUHCHCf2QbB7D5fmVkeXVMBfFdEBdw6qHeeqAVbJjEayAdrvDYZaLJZT4Eg91NbHHhqGoymzzipMHxvYX5ersN4e6sd2AMBv0/03IvXzf3Ovg5HgEoqDxs2Ge+RzlJq5AzFesr7CIyvKrqYqAaVaBYWeki5ZuHhU+jo7FTOwg6AkAcMGjjkKU8KSOTfJ/2J55AeFWxGD/kUMNGATb/OzS8gEAojRiBQZFYss5H7n5PYpD7IeQj8N7PmC0kFslh9YJWL7CBWkXg9p5MJzE1P4axDQ2X7Z9zOAStu7FPhve5QK78b9rlip2+JoYHAnj2DEuQn7WCf/1aBvzpgZSKnDnYjQw8BtUFSg+Jhn9DhokH1HdXSwfz7KmV1V9Q+HW6jjnAGD5+aRLhrUACDphUV7J5pCkjgNTi1biEbiOLqI/vx0iN9W7rf7RYQ4OfS76aeg0DgnHPOEXfhrY5GRWCrM3dmr9cAArt8fhtAoPAEvPrVrxYO42233eZ6ZsjRL87w83dt3KK5+07H3Vpp8fNzqNzAB8BOcSx3Gggwm0VO7WWXXVYwv6F7/jfC9/8fvKe7E//VHMPz19bxp9OzGDMG8Gj8ebi3/RUlvylBP+k9yjjHDQi4rcgghBWB0VXqjFsSKDEYpeGTuilpWokKnPlD5YxkYg19XR05kCCAwQYKonHu0jDMChEfgHroLL4O9BnsL62uYWUtgdZ4lwT+SkRF8q2yGgP4qYSKC9tCqjE6v738ERIIcH1mTTsiKqs8PzcjLrktsaaCLDM3IRllZptt7rvekmT2K9ybONeqWTieW5JBlvNYizchzcIOIDCXsDCbBIKG5R642RuoJRDg8ZZROMVwERDYyi1aXQfKxZpZbjZ5u6kijZ8eR1Mkhtb2tk0gQWhbDsqWBn7Fr3r/qOqzmFK/9WsFJpv6JEAhlcLS0jK6u7vkvLNnhiBBAwX9b14XvK6dQTcpV9MJC4Zl4ex2+xvCIF5fn/QpsYErK3AM9BdW1rC8voG2dlte1kkL406SomM7g/Oz+T2ig/b4urpun7eHwLJ0lp6BPKllIcPCgVZDfFL++9QMWrr60Rb2YaCol0ZkcfnlkH6rAJ5YzKC7sxPXHtmLZx/MS+B6Od/MzFP84IorrvCy2raW3Sk340o79Z3vfEdEJPr6tgaauP0GEKg0y0/PvzeAwC6f9wYQKDwBr33tayV7Sh8BZuAZcDsDfz5smMUvdtvlez/+8Y+lXLtT2fp6AAGqUTBgOP/883fkyiQQYLPb5ZdfXrh9yvlN/xR/etdt+CffY4hns7hjZDzHMPno0N8j6csrCDlXZjZRu45OT80gGAyU9RFwBuTU3WfGliFN1K8acdM6Y8nAJquy8gzEk6kU1tfW0dlpBw2Slc1n2HUww0BTwhdSYOTFAL0Achl+G1hwEZ3wTW4kkJBGOhVUO30HVNAGLGxAqBRU2GEjrGTw+VkO3jmDo/WMgeaAJdQKjrHxMbS1xdHSXL1ZEgN2xfQvPdyAAEGPWYIGxWMys6aAB1IzOCTAZODns3C4TOWnWiAwtqqqPOUqAowtyzG1agkExFU4y/MFV6oSz00s2rzlZmGZU7u3YzmtqEHsp2FFgNebXHOWek1spEAKI4FAvtrgOL9FVQZ+rxRIMLCYZB+O6r3YE1VVB4KAZNbIZfdzNQtWCQwgkVgHlYribPC2r3VW2TRw5ivBNx2EtX/H44uWAIGI38Cz+stXAvXc6p6FVDqN75+cR7y7B70x36b51m7Csi9+n0jynn+gH9cfGcQ5vdV5bBR/G8jVp5pbAwhU97hoAIHq5unptlQDCOzyGX+6AwHSd37605/KD23bb7/9dsn8kk7xxje+ETfeeOMmaU43Lf560Ha4r/fff7/Y2ZNWtBNj14CAfTD/+t/fxZ+cVK7OXx49jaFMBv8V+wXc33tj2cOlDCgVhbwAAW5wdMXCUsoQ6g0z7W6mYqJ4YQKLqwnMLiyhs6dPfmdzJqlGkgm1efc0P5OcYy6GtpscCXSkCVRl3/lvze9mQGSmN5DZWEN/T6cERwz8daZW9wMwyF9OsQkUOdWW4kmhuRKzqqQG7dkOEPApGotXIKArAplMFulUCql0SoAlfzLpdG5aSJcjYE4aYSxaEQR8PhxuM+Q9Arli6duaAoE6VAR4ckmRekzz6l0MvjRIa441SxVyu0M77BIcci6Lx8rqOk5PTWNw3/4cKGVfwQaBL6k7NujVPSQkeJHexN/Z8MxKRNinFLg4yLfnZ0llAaTcwKYikZYEpDfWkFxfxf6B3hzdzkmFLPYP4DZ/NKtkfSn5eUF3aSDAit4TS+oC3RezpCl4PZnGD4YX0Nndjf2tvpyhXm4ecoIDFpKWTyhIVx89iBef34eu5rw6mZfzQCDA5vJNiQ0vG/G47G64GXMXv/3tbwtltLe31+Me5xdvAIEtT90ZvWIDCOzy6X0yAIEvf/nL+B//43+ISQrty9/3vvfhLW95S9mZoXrOxz/+cVDSjBlmSpq96lWvku0wW6/HBz/4QXzoQx/atC2ue9NNN+Ezn/kM3vCGN4g+MrPgvLEfPHgQt9xyixiLsTpQzahHtr4eQICydGxw5rHvxKDiBasCpTJoJ6fm8Na7XoakD/jdmTk8b9WPv4/9MlZ6yzfjhQKUFDQ9AwGq8cyss8mUzaoMsN29BChfOL+yjtmFZcS7+yRoIv2B2VcdOGUsSpkqNR6CA6FAS4OsytyTcrGpAZSTbBgQF8/Ehhih6UZRWV6v51O9DYs2B5w67hKIFSnMaLAQ8ZvYayc5t1IREBpFNUAg4Edzc4sd8KeR+b/svQeYLFd1Nbqq43TP9OR4587NQQkFsECyJEQyAmOkB7IBY/xhRDCG32SMCYaHwWDC++H3E+ED8QF+BAM2mByEEEaIjBBJKFzp5smxu6dzd71v7VOnu7qnOlTP9LR0bx8YzdyZiqeqq/bae+21Mhmk06mipGvAH4A/EEAw4Ic/EEQg4JeqQC6Xlb6OtXQecwklOTrhiRalHQkoWDkQYODzSbWE4GBoaNgRKOh7VVcEeqUi4vx6aYQaROMknlfTg03ohQKY4eaodl/x2mwVECDVbYHKUoaS95SKgFUN4M/xRAqLK6sYGRsvVgvsl9hiEUnVSVcZSE2iLCkVqxhHsyJAgCqVKOv+0xUw7pc/szeBYDWbXEcmEcPuyXEBBpVN+Gwaz1fcZD+eVUZ/lP6sVSGSc7WoStrTYCWRwe9Or2FoeBiHBzxl1CZW5YqyoR4DC0kg6+3ClRfsxnUXThQrVG6v99kEBG655RZ5L4zW6dOpNYcEAkxitapq7vb6tWL5TrOw+1ntAAH3c7ala7QbCPzwhz8UpZ0XvOAFeOYznylZB2r4f/7zn5fAvtp4zWteI3x5BvFUMmA2/81vfjMuuugi2YYdCLz73e8u+x3/xmCfDzQt2anBw9/8zd8I1/TDH/6wq3nWQXor+fsMFn/84x/jiiuuKEkbujrK+gu3Gwgw+/7izz0Ovw2kxVjsHYtLyMODt+/6JAxf9aydz0tKTx4L8wvSnD2o6Tt1Tpm86uMxYC6hVINoYhT2GdLYyGBffzGQymTSSKyvi6Ebh24Q5UOMgY7+YsZUBfD0KFBUIwZTmvtf/G5xwBkLMdBNJZOik6+zppV9ogQj8/SQM0kzKfki2EEGGyhJDQp6TewIq6rDwvwsIpFe9HaHS1UJqyJR2Rugp8tJ/YiUn0w6g3Q2g2wmK58dHVxxzgPBALoCQfj8PggA8PtUCcQ2KnsE6OfAqgwHVV4YbfLzx56bbDYngCGXzSGVSipZUitytQMFBhU+n19ofPMZH9Lwoc9vtBcIAKy5ikIAACAASURBVEjkaSamDpjNrJUqPvx9JRCwq0CVMvMKVBb/bf1c9jty8jMmYlmCw3LFJLmfqCqUzmAtuoaRkRGrYmX1v1i9KLxS9j4B/TN7HJbSCsQetKT2hW5kUtqTKlXqcyJiUdIVrgAwaUFCd+M9jVIDPqsK/KywAZjio/p+5/39wxklnXrOADDeXb0iwHuG+yYFbtICfDPxDO6fWcPY6DAODpT3FvBf2vWb/gFHowXsHBvCY8/fiUftba4/gNfvyJEj4p5c2fNU/0nb/BLtcDPm0XaAQGPXrAMEGpsn+1IdIOB+zrZ0jXYDgWuuuUa4+LfffnvxvJ797GfjzjvvxF133VX1XNmgJS802/jMZz6Dv/qrvxIZT+1cy4oAFYC4j0bG85//fAlwPvKRjzSyeHGZ7cjWM1P/ox/9qKVAgC82nsuFF17o6vwbXZjVG5a2a8ntveW778LN0S9jJJfDLSencbP3anxz7CVKZ77KUJKQBcy7BAL0EPjDMrCYUgFUjw+IBJTmuH1vpEiwRyC1HsPk6HBZ4E9qj53yICooFdKNjGCrqfXwlFapuR6NY2R8QhpEmcktfreyugz8pi3loB4/hPqg42wNGuIZqqkwaDOLcpzLyysIhUNVwaP0MVQCg3weuXwW+VwO+VwW+WwGZoGQDAgw0A/4kcukJdgfHhoUtSBug8GuaXGKnFRYK4GAVqORYNlB8lJfbk0NYrZXAQQCBQIGBRrkK5vFQjaANPwIe3IYCealmkBgIkDBpyoMwSBdTa2I1eF+Yo+AU0VAm6ZpAMhVy9SCrF/wd7xWlA6dFclXE7t7SypP9oB+fmlJZEq7Qt3KhK3GB0kH9LKIWX6Dkhq3kiKP34Dfa2KQHgrWYADPoD6XSSFK+dvJiaKakFYV4t+ryeaKEpOY2ZnFKhM3TfCng2tNn2OVTIPn1VgCawn2vQzaAEKp+Z0ny+MmIKAyEAHyXStqDi4dNdDDD5bD4GdRHLRNYCJkos8612NrWZyaX8XuHcOYitiAAD+PRUM7IG+o/oCrLtiLJ54/3pR/gD4sJk4obbudQKAdbsY83+9+97uSaKt87zb67OdynYqAm9k6e5btAIE2X+t2AgFy8WkQxIz9K17xiuJMfOUrX8F1110HSqTt2bOn4RmiKy6NsLj+U5/6VFnPLRB44QtfKCY4H/vYxxreLxfcjmy9BgK0s6cUZCvGgwEI3PUfT8MLAnNyeh8/FcdNxmuR79uLqUj1DKEEnaaJuYV5eD3VKwIMIkixWc+qJuF0DqJlv5ZWAQj7BMhPZlBUzPJbGcxsOoG1lSXsmtpVd+qV6k4prJOG5hpcm3g8huhaFDvquHYK9SUPhD2qAZWbtFca1jLASlp5JYyGFJ2DEpXBUKj8nrFE67lcPptHPp9DLp9D3qLtcD2eAwNoBtLC6ff64PWVAiw2njIzr3wE1GCwam90tj/gFeCgspK1LB1jTUXN4qCqjrg/22JcDXCiNh+BMvBja7jmsvOJAhLZAoJGDhEPzycvFCR+p5cDPQ5kdgyPmKHxvEg5sv+8srqG7p4eJbdaJziveiMY6h6LZRUlbCRkdY5rNGidBCVYqSqmKIglsGj3FOA+7EDN7h2gf8+eEjr/pk0DpEVRMUcy+jbqGOmLBMp79zb+TOW1PLKmZWtZaSidMT0k+HmqNlbXVhGNxjExOVkEB7p6ILS6Avtm1MXmZkj30aZ5l41BgIC/whSN+4pnTPBzwJXslZa7l7JYXF7F4akRjPADYg35LNpkolZzHqybAVx1wR7xD7CrI9X9YFcsQCDA90WlU7rb7bhZvh1uxjy+m2++GZdcconIazc7OkCg2Zk7s9frAIE2X992AgFm/Nl89M1vfhNPetKTijPBhyvpPpW/rzdVH/3oR/GiF70IbHilAyIHgcDb3vY2oXOwhMvtvvKVrwQDfqfBvgGqQHz84x+vt7uyv29Htp7AiZUTuliyYbkVg5xXVk+Y+WnFoHQoS9u1KgLBj1+Nx/WksOb14rVLK/jzaBbP770Jhwb9NV/azC7OLszDY3gxNFwq95OWw6Bfgv+sCjqKhlwgMDCxmgLSkmEEzhlQXgKVHg/riXVpDGwICEizbSlIEglRy+vAaV4JBBhQUHO91lhMKd39ag7DpAadXlds70N9iqpx+tRp9Pb1IhgMIWk17qYzWaQyzKaTEe6Bh8G+BP1+eL1+eHxU9vFK47NyG7aoKRZ/XBpIo1GQZmHvyakEAjwXzT1XMR/lQ0sZbXLE51Nqnoa7mM22okIlS1Msy8SiUVkm0mtxU6pMknIWNhHyGcVMsX1RcaQ1CwocFAgQCihYAIiOs6J4JMdpCOjhveT1ehRg4HcPv/P3pVdXZdCu90eAyew4ASWdeCVor2gUX1iYR084hL7eSLF5vBj0l1Vpar8qOW1U0UkXVKOtdv61n3szQEAqNtT1N03s6VU9AnrIta5m8cwq19oqYrG4owGfxzCxbpnJ0VCOX6x2ETixEEBPCc4rew26fXQIVlUDVpwIeAh4A0ZBZEM5SCv6w3IOqyuruHjPCCLkH1mjKBsqPTcG7l8zMTk2LLSgZmVD9bb5ruHnYDuBQDvcjHm+3/nOd/Dwhz+8AwTqvBg71CD3kUMHCLifsy1do51AgEEtFXDIe7cHhgzEWX5kIy9pQo0MrsPglSXa//7v/y6u8qlPfUoMrJjJYLBO+hC/3vOe94B9BpXjJS95iSz/yU9+spHdFpfZjmz9mQIEmNEimKk2jMQS3vDff4ZbuwxcmUjirxd24T09r8W+iHNwp7fD4GKWzsKGF6H+gWLgzyykSixqV2EdYJBew59N3L3CRlzlyHvRENVQNj6aBAgsLklDe0PDtglSYmrp6zcKBMipP7Wu9k5jp0reOXseqIZCOs+OQAqFXKZIiyNlh8Gs3x+Qhj1+BQPk8vs3UplI/WDDcA0zATqqEjyQA67BAoM3O8VFY6GitKRE2ZoeQil5dbz8+0RYNZpy6OXlO7PFq8pulvKqldu0/5sNpCn6KJAeY3lCaJqXri5wzgjSNDnIXmFghWR2eloqAn6fV8Ab51KqJdkcCqbygyAQ8HtJOfIKPUooSKJ45BfqFKlSBGTksVPutVrjMhvn6TmyFapBR1YLyMPAaBccaXTNAAE6NTNLz88Wm3KLQyaztrwngUA8FsfOneXgllUGkfK0Vcx4DX82z+ocRMZ3NKyAQJEOZUn48v6gVwYrHRPhEv2Nn4uja3lJ9ly2fwR+ImVryC0llTPu0SMOyVc+bA+ecN4EpgY2l1AhEIjFYkUqakPPhU0u1A4TMx4ygQApt6TNNTs6FYFmZ+7MXq8DBNp8fbcaCDCryaxvvcFmXSr/bAUQIFf4yU9+MkgNYn9APedDmoaxzMk+g0pjrr//+78XDjsBhJuxHUE6JRjZXE3Q1KiakZtz4LI0yGGG6+KLL3a7akPL896oBwSC3341vnz8a/jn4SF0FUxcNnsDjnkOYEfEj6ler1BPnBgJDLqOzq4gZfrQ3dNdDFN0EyNNthj483sl5eBkjI6mdGI1cfGIIQ3DlcMtELDTgxhU5ywzI6eJahQIkE5xRCXHRR405ClI74KW6kyksjidorSsifFgBj1BH1KpNLq7w+jr65csd6MP3XpAYH5+TqhDunmax6QqAtXRg/QI2LPppikSmzwmejj0+J2Pbn5hXpYZGantLKyoU6THFGo0Cyt1p2qDFSvVI7BRW14cn61mZt2bwOdP1upRYJVBnZ4Hi2YPTI8PgwETwyECMAUWpOri8cpyWwIEpGJDqVKlQMX7gn0uG+7fJqhBx2NKIjfip1NzaYviF1FHVaoaEBCaHCszFeP2GdUbQ4Ulqh6RwqerBfyZg1QyKnxxjIcUeOwNAMtpYDaex9rqMi4/MCbAlp8/fvHa6BHNehCz0YII2DYzqHTHCqruSdvMthpdtx0mZjy2b3/725Jos3/eGz1mvVwHCLidsbNj+UbfSWfHbLThLLcaCNx0001VaTf202PQzpcBqUHf+ta3wKZhPdxQgxgUUu//y1/+Mm677baGKC1f+MIX8IxnPEOakemUaB/sVSBPnn4CboYO0ltJ22HAwXN8KAMBVlv4ImOfg+MwTfR84ALM5uJ44q5JWeSDs/N4VDKP497d+OHIX+JE+AJlQETub8EUDwBSZhiwRGNRGIZH6CqkZOjAPyQCNtUfN2zsvHOR+WDgvAGL011xgK6BAP0BrGDJYOBUkxoUx9raanVqkGkWJTqPRk2RSu0qJNEDJatJiU428DLbfzLVJQE/TaXYVKyoQX2IRNyZJjUDBMq6Mh0ucCUQ4CL3rhZknpg173MIYLlMo0DgZNxEIm+gz1fAeFX50OaBQL1nAoGCmc8jnc3ivjVIX0K/kULQTElDs6aH8V4kKBBd9YAf3eHuIkhgdcHr9VUKLlXdNYtXmVxBuPxcqZpUqduKAKVxabhHUMmAm/0zepAexc9erbGyuor1+MaKgJINLQcCmRzwozlVLDp/cOPnj/NKUHAqRidqdf3GmMw3VJO/SKXmC0itzuORhybls87jY5zP33Pwd6Q50avjMefvxBX7m89s6/MmEOC8kjKzXaMdJmY8N76n6ZfQLBAQ87tCoSMful03ykNoPx0g0OaLtdVAwM3p6GZh0nRe/vKXF1elr8C1117bULPwq1/9atx44434xje+gcc//vEN7b4WEOD2CFI+97nPNbQtvdB2ZOs1EKAGv52X7epA6yzMsjNVMEilasWoCwSYS529E/4/fAnPXLgFR3wF/EU0hjcvKWrInaHL8OWJV8rPpMEwO5jMk9Gt3IXT8TVE/AVMjgyoxtMGBwONn82ZyJqGKJEcdHC5pZoSq0i7d+9uaKua5i5BiE3H3GllZhWZQd05uVO465R6zGYzKtsvP9OMy5QMfMwII+0Joifgxe4+r6jh2Md9a6yYGBgLK5O006en0dvb6xoIiIRoDWqQU0Wgtu4NKSblFQEe930WECAdZMCmdmM/J9dAwF/AeNj5+iuA01xFoJELzyCZPQhUpuGgnwMVnjgYDNkrCcsry/B5fDAof5slUFDZay6tfRSUNGqpmlAJFAiK1zN5HBNhNAP7+0rSsvbjZcDK+7dRAQaC49OkoRWbcktbI9Cs9AConBsBAutxuaf1ULQgyuqWD9KPfrekTpyNwl02ao9ekp9Rgh1WA8Neyo4qhSwG+PNJUwL+QHIJlx4YRYBowyIDFnt1DA/uWTHxx+fvFlrQ7qHGPGJqXfO7775bhCJa9bx02nc7vAt4HAQCfPdop+hGPgv2ZTpAwO2MnT3LN/6mPnvmZFvPtJ1AgCfKSgADLGa69aCb7x133FFTPpTL/uu//ive8IY3SC/BX/7lXzY8b9dff734ClCSsJIa9NrXvha//e1vQbDgZmxHkM4AggZqD2UgQF45Ky70Qqg33vXTf8OXT/8HhnN53HLyNNbRjf8z+E9IRPYIAGBjLANLAgDdkJleW5QAoX/QvbLFXcsFLKUNhDwmLh3bSBlwCwQqZUS1rKYtKkI2l5Vgfz2+Llr50lScJ73EUFl+cs6DQflOQy6q9KymlZ8AH54HHRxkWTEgoBkKKpUXBQQiotDlZgi1qUbSl42uzFxvyBAyUqvyZHcCAmxyJSWEzcJDVSRiGwYC1JcvGOhrKxDwIJEp4FhUUdgYmAcc1G94LYQaFOlBf59yFq4ECiKTakmkOgEFL+VQ/T6k4MNirksavM8dVK7NlQUwt0CALtVU0wp4TOyt6NFuFghUowUxU89eEU7TVTuc6Tpsvp5ZV3N0gI3LAa80hk/HC3iAykakZSVXMTEyhN6gB4NB9pyUbuBozoO1nB+PftheXHfRBAIOYMPN54PLtgMItMO7gHNOahCr0c32s3SAgNu76+xZvgME2nyt2w0EtKEY1X5I17n11ltF5YcZeXL59eCL7bnPfW5R1lN7BhA0vPSlLy2bxf379xe1jsnd5HrnnHOOZG4IGhjkv//97y+rQugNvO51rxMQ8sUvftHVldmOIF3vg+VZJ/6yqwOusjD5+8vLyy0rdbsBAn84dTue/7PXypF+5vQskN2DG4MvRLRrEl4CAJii7kMZzYhfZQaXFxaFyjA4PCJBtdUnCKrF1KE0Y3pd0Su4zqPGKB9a/nhyCwR43CxKiPIOZTnpQ5BJI5NOI0NeeSYjQQ0VacgZJ41kaGhQSueS5a9CZRITNMsWY29kY5BJekyK9JiAkhBtFgioW8T5Ec3qxOLCghw3j7mo+SkYQDlLlbX9qs5PcXCtpGg9sMbjNQUIjISc9zc3PyfrjVb2CJS6kOVoT8RMqRAJEOhmv4J1o9s2K6JFNqkfJT2rlzNw9NhRDA8NWxUU+/GohdSqaiW1/ZJkKv9J3vlKsoDT62r5w/3VaWmVQKDeZ7gMKIh/Aj0eskp6M+sTWtK4lzcHqUcEBEr+lRUF3oNsbJ3auRMEENV8A/QxUF2HlJuBoLqP7KMhatDKCkins1cE7FQd+/buWoa4IvNz/IhRZyBwMg6kCgZCRkGch/WgO/hc0kAsnUMmtix9JKJMVSC4tJrGDeBk3MDI0ACuPn8Kjz7oPlHgdG1YPaZQxHZWBNoBBEjpYbMwqa99ffau8Xp3bOnvHSDQ+FydbUt2gECbr3i7gQBPn7r/b3rTm0C+JRVZXv/61+OGG24omxkGAQzoP/GJT8jv6QBcTdmH0p/8Owfdin/2s5+JEhC3QYv0l73sZWI85jRYYaBjsV15qJFLtB1BOjPF//M//yMNW26zu42cA5dpNRBgFYZKG2wSrztWjuH6m5+BGZ8PL1xdw8tW1vAt4yp8NPJ3QrVgtpvUF3tguUwn4kIeY6Oj5dlsSoZKECphoKjG2PXueSzrmQLuII6gy20/MG7TIufvGgECOlDTDbxsLE1lMqI6wzZdZlK1Yo+o9wQDEkwLNWh1dYPCitMccR/knzMWJU+6klc/vU65VAPd1JPvdgYCOg5mQFuNQcVgX5ar0NLXMTOvJUFMpYqIhMhV9OUFnFUAHHGJzQP9AeUl4DRYEeDB0A281lDb8qAvUJ0aJOCsBirkZ2B4mM3C7ioo+rhYtZlP5KVqRf76gX6ec7mFGdujeaYnTp1ApKfXyrKq+RbvAu3SW/dDolYQdZ+MBz6jgN3dBaGSSQNzLqsM2LI0YMvYlKvUvaiUjqh6pKRjtfpR3qD7rsKiu7qVC3DZIPWmDrKmgg8/M5OWN4YqFOm7qnxzv5inr4eBsZCJcwcVENBAntcqlc3hAR4PIPd0r62XRBqaCx4EkUFm6SSGJ/dhJa38NXgf7ooAIb9XmtIvO2cXnnD+BPYO2zqfG5njKssQCJDi2ipxBafdtsO7oAMEGr9JOvKhjc+VXrIDBNzP2Zau8WAAAlt6QpvcGAEJqxTsU3AztiNI3459UDGFUqytUsFwBQQA/PPNL8O3Yr/AnkwWnz+9iFcZr8dK3zk4PKAUQSrH0uKiUATGR8fBZsdagwFpyU+ADZd5/GqB2WlgpAvFgERvoxIIUHdeq/WQ088+EQZgfGkyQGYTaCAQlAbeYDCAUDAIruM04utx0UCvlFqsdvzMfFMzvtdvWk2xDCxV9DifMLGaMdDlKWBXxMDp06ekR0AFtlYWu8EnL/nn1XzQtgoIiHOtKNMwyNsKIGCgP2BWBRX2AoDT/G4aCFA6NJpXUpg+9ghUn+yTp04KqNfUIH08DJd5RYlb9fHyu2xJ/8dCaQx2SZlZzRoIe0xMRZz3F4+vY3FxQe4xoRsRHIjakQIMyq2ZPQom1gt+xI2QBON7wlkliaqrCxZoqNV8z8OsBAIEYE73Pz8St89yrwb29xvY1cMejkIZYKQsLJWBPKYpVCv9uaV/gG6SHvZnsDp/Cvv37Rcg9cCaklP1wsRQyIto3oerL9y3ZbQgniMFJ/i5P9OBAN89VNqjyAOfJc2MTkWgmVk7O9Zp8HV0dkxGO86yAwTKZ/0tb3mL9A+w+djN2I4gnQHm97//fTGvafZhXO+cWg0E2KzIyk9DFYHUKu7+9ONxAx2SALxxug+fzLwU/X292NdnOPKuqfNPTsDw4DAKljFUvXO2//0PKyq7GvEbOG/IAH2JJMufzyMei2F1bQ3hcAjZDDOtWVlVtONJ57F0+fkzgYAOlLSMKINqrWBSeUzVgIAEf9ZT0t58zGB/xTIW06ZKepukSiynKYVKwyWqBlnNwr3uVIO4PWa3qzXWVgMCcr5VAI9TRUAbRDHrXC1obrQiINSggoF+f3uBwAOreVGxqlXl4PxWAwKN3rOk2jBoPhWHyKb20bOgR1UbFDRkU62iLkVjCgjUahZmAE2X6RPRnDj4+s0shrxJCzRkpZlZqhakHtFtWlcTLFlUqShYlQVWuOwVAVWJUW7CRcqeCaykCriTlTgDuGSEFa5yapDd3VjRlEphA/tlSAviMe3qSmN65jQO7DsgVS42ULP3gOdPxaHDk4N4zPlTuPrQ1tCCNBDgc6BVBoxO90E7vAsIEr/73e9Kb1ez1egOEGj0U332LdcBAm2+5h0gUH4B2J/Apii6GrsZ2xGkb8c+6KHAAK9VTpkEAmywu+qqq+pOr2fmDoQ+cy2eOLUDcz4fnrcaxf61P8L/1/N8jIadaSTLS8viHMsGVmkkrruX8gVOx9h4SE5BHhP+JHrMpGT8uE1KgLLhly69DP6Z6ed3Bre1hqjvSABUaSpmZX2pfiIVgRVMTU0p3jml9mpslA7J2lhsX2+5SgybKhkcGSiICdTp0zPojUQQaQII1GoY3iogQMUXgpoun9KPdxrbDwSGm+7D4f1wz3Je6Efk1ldTQioCgd4I+ntVs7DbYXhMuSePRemMbYhnQbU+C95jrPYRCNirafYKCe+5Qr6AI1HVXzEaMsWpWA/dJZFOl7wTig3NVmWB5y3uyPK5MNAdDsNDGhJlbv1+VVmQZmZ1re9fA04lICZhVzo0Cmv1IgaSvNftvTvKN8IjJmQj/hROTZ/Gwf37i9KmNB+bS0A+D5cfGsdfPmoP9o9sDS2oXUCgHd4FHSDQ+CezQw1qfK70kh0g4H7OtnSNDhAon863v/3t+PrXvy6NUW4GX1JsdG5ltl7vg7SdZhu26p3TgwkIMBLx3vVFfPCnb8En+3sxnsvhyoXn4Beei9HXZWBfHznY5Y8QAgG6vw4PDilnXLPaI8ZEPldAJptGJpNVtJ5MRhR5ZnJhZA0/RgN57O01xX2XWX5m/hj87tljlw9l3wGzjooHrs3OtHMtM7LqGFWjrHYXVjzwkrqOmx4BXkMGW0KJgAo2+22ym1RTmqa6CpQb7Mz0jDS+UjnI7fBANWU7BudVegSETuSiIsAKBvn0fi+wr3cLgEC+NjVIt/tWmwtFDWoeCPBa372iYNxUd0k61Gl/UhFoGgjwChck8897gfe6Ctyd5zAWj2NpaQl76sjfxrJKNpRbOWBV3nivkmrH37HaxSqRvu8Z9OueEP6eVQNSjlZX15BOpxDuDktDMz9nDCip8sXB3hhWFB7I9iGFAAYCJi4YhPJT8BFgq/OQYD8LdHnNMqDIzxh7ZXhU7C0JmQoIHNp/oOz+u3sVWM54cO6uUbzlKeegizfaFo3f//738pm+8MILt2iL9TfTDu8CPvtuueUWqeQ2K1ShKwLBYFDuoTN1dICA+yvbAQLu52xL1+gAgfLpfOc734kvfelL8tBzM7YjSOfxkLbUSiBw8uRJaaxmQ3IrBjOS5NU++tGPrr/5bBJdn74W98WO4JmTE7L8VStPwXLiAnhD/Rjp9mCgQm6SQIDNwqPDw5ahkOK4s2k3k80gk6ZcZ1qCfs1DphFXwB9EIOiH6QngRNIvMqJDQQjY0BrwiWQS83OVQKD8NCTTavUmSNgk6VYTHq/HAgmqSbmyfYHSjlRrYkWg0UE6CJtse3zl3PqSqpDKoM7PNA8EiAGU4M/GR/VWVQSYtZ1PqCzywf6HPhBg78ZRqSop6dBafhabAQLqVivIvVR0FQ6bjq7CvKcaBQJsNo/nDJENFWBGkGs1gPM+EKAnvSYKINKvy0ngivdzMpnC5OQOubbaRIw9POxFYJ9CKp3DHWtdUjEb86yjH/HidoVe5/VjrtAj1YXxkIn+LkNV43x+MY5TVTF6JxjIpVMWNWi/bI8jkzfx8wVgoLcHVx4exwuu2NPox6uh5X73u98JDW47gUA7JEuZKOG7pwME6t8WHSBQf44ql+gAAfdztqVrdIBA+XS++93vxuc//3nJ7rsdfFDSYbJZneVG9tfqfTyYgID32A8Q/q9nSyB67eQEjgX8eEY0hn9aWsG8MYK39/8zBvv7y4LUxYUlaXzs6Q4jmUpJJjKdoRkXZR2VYo/m8vM7FVMqJTIpmziXMBHy0u1WOd5yaCBAQzEGPopeQQWiYuxf9RJ6vcrplGsoR1bF3ZYAmxxmZmuXl0U1Sw0FFuSrSkZ+OQUs0k/AgOiq62CdDZT3R9VWdveYWJrbBBAocs03nlo1ICB9Bfm841w49QhEM6qCwblhE7jTcEUNyhuSXaZB2YZhkw2tdrE2WxGIZQE2QHPvh/pqO1pvBgjo/gCq4xRdhXtMhMixcRgEAsvLrAjsUYG75upbhSlODcExjdD483AQosy14aVt0BKsNLg0s/eaIKfubmBxaQnpVBoTO3bAcFDp4hYWksBd9Ao0gEeOsbmaVbOCalzOZbGYKMg9zirDmCeOfC4r4IcjhjBS3i4EvR7s6haJIESja6JSpOV3j6wZmE0ZOHdqFC973H7sHKjQQW3koVtjGQIBAiKq0W3XaIdkqQYCpHQ2a2bZqQhs1x3y0NtPBwi0+Zp1gED5BXjve98rXgM07nI7CB6oHtGs82Ij+2v1PqhrPj09LVbyrRikJrCc3lBFIJdC4OcfgmfmTnxg/Qg+1m0iki/geydPo8s08ZrwO5HsGoO/kJFsP7P8DCA4BLFBdwAAIABJREFUumi+5fciSNUeNvEGA2K21MiYWTdBM6V0TnkU0LSLdGfqhc/MzGKXUCvcPbp0xlQMw3Ibg2SpCKwsY2qnU0WAoEFLUKoqA4P+VK4gEo8MunZHTHR5Fa+bL9x7LT+EHd0m1uY3BwTo2eCkwFQVCHD5QuNAYD1rghrxHJRtdVKDahQIKClJAwP+KkCggRtgs0CAgetS0gR7XisbuSt3vxkgYBgqK5/KQrkKG4ZQwfw+ncEvKQ6pZuEYlpYWBQhUGwLKEtq0yxCfDvuQxuMG7/3lFQUEWBHgUIFgOc3s3lVgJglpyr98YmOTMCVDCXToiUGnaB1M8nN+31oBWVbEjLR8MVjNZzNFadgkujCLXoRCIVx9YBBPv3AE4XAYXV1d8rtKM8kGbo0Ni7QLCGy3ZCn3x3cPn9ucw2ZGBwg0M2tnxzru3qZnx5xs61l2gED5dL/vfe8TrwJKiLodrQ7SeTyt3sd2AAG+PK+++uqGp1de+rP34gU/fQFI+X/H/CJOrF2DrxqPE97wjrBZ1OZPJBPs6xW9ecMkgUFxketJiZYOxkQ8w0ZcEwvrJkbCBsbDioOfTCVBQ7RagVStk2LPAh94TspBtYFA9a0y88+Qmy6qNOTi4H+PRFUfwVjYxPoigUAEfX29lvZ7KRiTn2xVB9WobJkHWLutBgTY+E1gU+kj4LYikKRBWkzt7EAf4HMwNtgqIGBvjK02q5sFAqxukGdPytZkFTlUtW8TJ08padf+/j7LWcC5glA0QGNmXVYlJUjxtqIZYDqprlst8zKaiS1ZFYFq5y58/BykGrbLQWTK6yXIa+yjy+pDSoDARBEASCVNmgpUH8nP5oFkXvW5nGf5B+ita4DI89xDLwBbpYP0t6OWIhAbzPm3VDKB09OnsWv3XiwlcuI4vJT24PB4L568P4h+b0ZMJbXaF3sRCAiqfdkbmqudMV3oCY4uuOCCxiZlC5Zqh2QpkyBUrOsAgfoXsEMNqj9HlUt0gID7OdvSNTpAoHw6/+3f/g0f/ehH8aMf/cj1PPNBSa4oFWtaNVq9j9OnT4Ng4FGPelRLToEVgWpAQLKbqZSYazFo4Xd+8XcH576Gf8vfitvDIVyaTOHFs6N4m+8VCITCODxYcgFmj0Aul8fo2IhQFUTTv2bTMGQ5TasRbwDTxANrkMbhbp8hZkp08E2lU5sEAipM11xp+wTTgZXH7qZHgOvPJoBYTmVU6RmgBzPjmQLdhQvIrUyLh4DbZmHZmmFIYJ5XWqylXLABLMwtwPAa0liruSKKecPMreLIcwVeV6tVAh6vdhZWvRRchDzuB6IqqN3bt9HRmYexVUCg3k3N4xQgMMJm4Yg6bp63apSwhDNVg2pxtnkqGjsZwAOrBWRMA0MBCJCUuF33jVjIS/+bVLze3j4F0lwMkeK0sutSgUgze29x+qtspx4QYKOvGNUBGJcG9I0bYq9LlT7wDQsTCNBFe2x83PGIWHH7yYKa1nMGaCZWHg6wV4E0q4BhbqisiIFaWpnhsaGZn19+hu47vYjw8E5poY5mAZ8/iOsv3YunX7Kj2HzMxAIBQbUvJ6Cgqwh20MCKAoEAwfB2A4HtlizVQIAJHM5BM6NTEWhm1s6OdTpAoM3XuQMEyi/AjTfeiA9+8IPiLux20PWXXNFWAoFW76PVQIANhL/5zW9EPpRZcHvAz6Cf3HJm4qhMob+YzR64+9P44S/+H7xqbEQuy9dPTuONhX/BjH8Xevwmdvcy6AXWVlZKQIB69vm80GWYpdaJTL6QJDtPmkOBuisbVXEeWDORzAHMPPYEDEx2A9785oCAau7kfzamVJsFAswGk1rBwWy6VlEivYkNn2FvAUaUQICqQe6CTX3/W1ZlGz4OqiJgYGioXJddgFeVtLFTj0DRFIpa8BHFEy8661oB+PzCHAyq4tBZWKf1bZG4oskAx6MmknkTQ12G9Aio+LtkjUyKlxxaDevezVQEhJa1qvo6JsIbXZ8rJ3ErgIBUICwn6Z01zMvqAQEC31mrsnCwl58ZJyDg3UDvqfacFCCQSWFsTDX6Vw4e931WL8sfTwABj6cUrOc5j+pzQvfsSiWkY1ETadODXj8wEgLYLzMXS2EtGsXI8Ah4T9Gp+IpzJ3HNBZM4d6JxxaxKoMAg2A4aRE7YUk/iM4TPK96XlZUFAoV6pmtu3zFcvh1KRTx/vnse85jHCLWqmdEBAs3M2tmxTgcItPk6d4BA+QX40Ic+hPe///34xS9+4frK8EHJzFAlVcL1hmqs0Op9sD+AEqKXXXbZlhw2H/7kl+rsPoEAjYb04MuTgb498Ke83IYXKIP3r/0dnpz6FZa9XlwdHcJvV18jGWYGniNdyqgIqSjCyGLnxLDKTFtcdS6js7hUFHEWxCydMnsEYhkD0XQBvQFmqYFRfwqzs3M1DZnqTZochwNXulkgQP60NAYbwI4wiooxiykTK5apWDC+OSCgaSm2HLicZjUgwGCfAMxpOAEBzoeo3gDY2QP0+De+FlxVBPIGBoPOevrK1Kr2VdoMEMjS6XZVSWvu6aE3Qu1XXLNAQECldSKkyLD6U2m2VXmWBAL8/LHZ3WmIGVse6PYBO6tI7bvqERBqUBITE6pHoHLctQwspKnKBVw6Wo466CRMWVkvKBOsJXjVFjRwpFxqyAdkC8qzgAH72toq9k+OCFbM+0K48oI9uPbCCQR8tb0+6n1u7X8nUNDg4MiRI1J1ZAOtBgt2oGAHB5VVBQoXNAMU2gEEaAzHvrnHPvax4PO5mdEBAs3M2tmxTgcItPk6d4BA+QX4yEc+gve85z345S9/6fohzQfleeedp6gSLRrcx/nnn98ysLEZIMAXIrP8OujX31nGphQgg31mySghSglU/rtRPWn/bz6Nrptfh/cO9uOTfb3ozRv455kprJj9uNV3JU77donMJ19YfFGPDPQKtaE3YMJHay0x6FKa/40MNk3OJgyksgVp+uQLeyyQwurC5oAAA1FuqzJj3iwQ4LmQX582Ia6y1FPnkOOX7K6J7vVpy0eguYoAt+dUFagKBFw6C3P7964q9SWqNPUFmgcCKlNc3VjLSxnLFgKB9ZyJk+x3MM2qjc/2+68ZIKBoSKWT0NKhlNfsq+IhwH3WAgICYHSDeZifm42fEjHUq4egbautrCyJfOjEhHNF4EdzKojf0c0m8VKgzkCfTcIMHGlmNtoFAfy8P0hfIh2O0rkELeNhfjgJGEwECymkV+awb+9uHIt7cHjXOK46Zwf+aHdzZm2NPCd+/etfyzONz309WNWspB3ZqwpMjHAQvNTqUagGFNrRoMzn+m233bZpIMBrqp3XG5nfh+IynR4B91etwdey+w131mhsBjpAoHyebrrpJtBL4Fe/+pVrIMAH5bnnnttyINBKsDEzMyMc6csvv7zmDcSslw70Nb2HQTgf9Mx82TP8/JkvPAbAKysruPPOO+WF4mYEb3kjAnd+Eid9Xjxl5w6YhoG3Lyzhuvg67vEewtv6/m9pmJ1eTiCdy1uGa9Q8LyDsVVKgPQHSHRp75IgEJ82KTGaQTfi9BgKFDMy1mU1VBLhBn88r9CX7SCTXsbTovkeA2yBHfCWtqBzakMvuJRBan0F/pLtpapAELQzuK4LA+fkFGB4DA4PDSkLVMjrj8gzYZO4sFo7+TiTGykzl36bjJvIw0Os3N1QEuN21qDhH1TTS43LMJGcLBnp8plRy9NCHTmoQ9636QhTLSBpYbf+em53BQH8/wuFQ6e9Vlq1cl5x2eiL4DLOqJ8JmgYC9P4CBdFEqtqKhtvLzRdWglSoVATF1oxStqShmTh8TbSTWyOeWNbflpUWk0xlHIMCG/F8sqrl/2CAwFCoBAe00zQvO3hyeYyIH0CgvU/BgOWVKDwb7YihvOhwyEPEXkE6qZv6hyT1Yzgbw6Av34ikPm0CEltUtGnyWMbC1A4F6uyJQqKQb2YGDHSg49SbwGc1rcdFFF7l+R9U7tmp/10DgcY97nJxvM0P5p3SAQDNzd6av09hb+UyfhTaeXwcIlE/+xz/+cbz1rW8VHrvbsi2BwDnnnIOREcVjb8Vo9T4qgQCz/HxJVXL5CQSY0WJJnIG+nd5Dzmy1QVoQQZZbIIBcCr4HvgsjPodXTX8dt2VmcW46g89Nz+Ljgefgu91PkcxiNraKeCYPX2RYlFuK2uYWHYgMAdIJCAz4nZSfatf5aNRErkB99AJypiFqI13xGRzY60ytaPR6B7weZByAwOLiMna5MBTT+2OQdJLGSmy27QUCXpqoqQwvhz8+g+HesCMQYHacnHn5rr8c/s2QOSegyAJHVoaZgRybatVQ4baqHpREJnUQroJuJW1ZqUC5mDCRNYGIv4IaZL0hYtGobL03UruqQUoUr1W3z0TEgWJU7C+wX6wKKSFKbPKeDgZLXGir77mCUlY6M2mINlSDaiJrghiE0rOsQBCgyXfxnij9zH/PzhKkRdDf11Ncpt5zxw4E6Lgr1x40Y9votG0/TQKB1ZUVm1dF6a+81zMFICLmdM53stfrq+oYXbkGAdf8wgIyVYDAiRhwNK5ug6smVHacI5svCE0slWPPABD02ds5DLByoVyoDezpBSbCBPsKrCcS65ifW4BnZC92jA3hqnN34qoDQ41+LJtajkCAVBkmgLZq6GduNbDA38tHyDBqVhQcKZZNHiSTPlTSe/zjH9+07GoHCDQ5+WfBah0g0OaL3AEC5Rfg3//93/GmN71JlG3qvZArLx0flIcOHVINjS0arQQCDHTZH8CGYYIZPvyZCeKLiVmgSi4/s/z6Bd7o6RII3HHHHWBmqdlx5/+8CS9Z+p6s/r7ZLO7MPx0IhLEamMC6GUI6k8HY2BiyeRNrGdXwm8iqMFVx9FXkx6DWY9CAyQIHPqDLW9Kxp6lYNGPAi4IEyZlsHrnYAi7aO+FspdrgCdn53XoVVgSaBQLMcItcKGVEA+wTgATtpFcwyDcTy+gPBxAMd1v0ilLQX57kL3XhStBuHZw9CC4tbyIeE/1G9HRTZ1IvZaXWC4Vixl3RoVTWnfcLA2N7Jp1/X0gAaQaifmDQ1ouoj2F5ZUV2MTg4sGGW7XSv0+vkkLNx3HRUvVGNzOXVCl3J4HfO5ez8HCKRPgS7usoqF5ZaZ9UeA66/kqEKEhueSXHSh1r5misBCMp5Cj2kq6TEwvmwAwb52QYmCGYJtanxzwrEoqjnmOJ3UWtUAwJpUW1S13uqW3H2nYbh8RbVj+rd6mzeXlhcrAoEfr0ErGYgzb7nDRny+SSgZW9OPKuOhU3ADPI5736v6l3gMqkC4DcM1RzPfpSCavcnEDg5uwTvyB48+mH78SfnjWGstzk+e73z039nUoNZ+60EAvX2TToSx86dOx2VjyqBglNVgfccf9/oO46JoNtvv70DBOpdHAXQOnFtA/NkX6QzYS4nbKsX7wCB8hn91Kc+hde97nWge6Pbz/N2AIGt2AczM8zy27n8fNDrkrTw4cfGyug9zZaDK+/XtbU16b9oGggUcuj+f8/B9WP9OBII4E/WE/jf84vF3bw79Goc8+yS49eDwV8um0cqD1ECIreYAQWBgLj7WmGslrkkk4DggH8n5YZ87P4ATaJyWFtdwyP3DTdMMar2eaXTcJ6dvtZoBAgQjHAVUiUqv+aTKpBmcEheNQeVVAgI8qkYBru8CIVKRkAS9Er4ZIqIUdHwzJ6xtgWfKput5koH9ivLS6LyMjwwaDktqwBO/i4Z8o1nz2DSSv6W/ZFOvPGsgUjAxA4H7X3SkHi4lIWtNSSzLdKdplBGKgdVlSgRW2scO35c6H093VVS4xZg0MChSH8i+Ipx+6aAGfoIlFVarIqKvQKzuLwsIKCL1DkelF2iVQ6y/Bzkmlk4gj+zoZ3Xvcuj+it4/QkU+F1/8dpJtaJKRYB0quW0AmrKodppdvSB1X9lc30G5wQ52UwW4zb5UN6/ySzw0wXLKCyoFIF4T/DzRloVz4uAkKpLDP4p38tz4d9Z5WKtifM7ElLyoZq+RyBw92wMhw4fxhXnTuGa80rPgK1+b+rtEQgwqGYleLsGq9WkBrFXzGlw7u3VhMrKAv+tK1i1QAL/phM9Ggg84QlPEJWkZkanItDMrJ0d69R/qpwd89C2s+wAgfKp/+xnP4tXvvKVuPfee10DAWZMDhw4UBaEbvWFdQsE2Dhrb+DlA53/Jk+VTW6VXH6CgwceeABXXHHFVh+6bE8DAVKD3AItfUCBn96I/z72FbzdH4fHNPG1UzOYyuWQhwevCbwFKV8/xsdtQYAETpauPRgoeZAtFIQKQWBAUMDvDFI0MOAaOdOUTDUDq6GgibVUDol4HIcn+jHaTUpC848vqpiwwqAHgcD8wjImJqccA30G/pqjr3dbpNiYEBMoNggzcBxhc6WhjKZIt8kmohjv9qC3J1ykn2iqij3TrALGGpddShmlv7NZmA2kw0MO9AtZbmNnaTUgwEzwWtpA2GdiyuaHoPfmCggUDLlejkCghrSp3lcjQMBpllgJOBpTqlA0wKqnGMRtHD9xAr19feju6RXQwGusKVh2wCCNstbfWenSUGY5bcg1JtWtVIHY4Bsn93A2nURqPYbJ8dEiSKCoEV2duT02m9M8z2m4MRITF+5sAXNLK0hk8ogMDEuVhJ83ngOz/6cSai+7OU8eBQToJ8H7nJQgGqNVCv2spqEa4GFgf5+iwGkvBX4WF6Mx/GE+jeuu/iM89txx7BlqzgHXzYOvHUDAqUHZzTETKDDpU81HwQ4USC8i0GHwz887eyFIB9UVBTcV4Q4QcHOVzq5lm3+Tnl3z1LKz7QCB8qn9whe+gP/1v/4X7rvvPteBKk3I9u3bV5YB2+oLVw1s2M247Jl+Puw5aAtv1+Xnz06qFGy2oyTegxkI8HzS+TT+r288DWvZVfxFNIY3L63gk8Hn4EvmY9BrJEVC0D680sCqwiflI1DyFdDLkX9sBwYMXpbSil5DylA+n8NKPIme7ojQFhioMGgJeEvfmbnUKkNO155cZm6XPPZEtiCNrQx+1lNpRGNxDA4OlQXjloeVyt3bguvKrC+zuafWlSsvzaBYFeCxM9MbX1vC/j6va9OqyuOvdBiuBQTsPHb7dqoBATGIShkIeDeaR3F9V0Agb2A4pLwENp7D1lQEnK5tTDwdVHB6qL9EMav1DDhx8gT6+/rEVKyRIapHBUVVI3ClAVjWZJO1qmLZK0bF7VnTkEqmQMA5NDhUhGi8F1k5IpVnR1hth30z+ks3DXt9XqFU2Qc/R7x3GeCn8+pLfs4poLIej0tloK+vzyKOKUoW/QMIXLmPR4yyn4MUINKTVG8Jm/7pNFw5jkYh1R4uP9mjKhilBnYTJ1fTWEtkcP3jL8NTHzZe9CRoZF6bXYY0RwbGhw8fbnYTrtdrpkHZzU605LMdKDCBMz8/L+8R/l4b4lWrKDgBhQ4QcHMVzq5lO0Cgzde7AwTKL8B//ud/4sUvfrFkxd1mrLcDCHAfe/bskaC+UqaT2X9mbvhisvP5+e9GZTr5sGc15Morr2zJnRmNRsWjgcY0brJJTgfz6R/9Ez4wewv8polvnzyNSN6P1/rfiBOFUVy8q0/5ClhDVG9s2vYEAmyorTWoHDSzDpB2w+AubGRxfCWN7p4ekWkM+0vK+pWBulA0bE83ndFlLCWqNRUk/HQmjZgAAeVKXRnoa5oHt8mfnTL3zOym8kpbnTrwrAgwg7q6uoJDfQb6+5uXD+UxVSoHLSwuSPOvU0VAlnWg4FQDAitpE/MJekKY4hRbORoFAnQoJrga7nIGAmxVLjgYutn312xFYCEJrGQN+Kl209vYq80VEBBWEEVw1eA9da80hBuW/0LpLHiP8V5joK7BwVp8HauxdQwMj8rvCXCZZSfnngBDB9/qXlauGxrYsjlXgj+h/SjfAgb9ZR4TVm8DqVH8A59PKOQwOtgvYJkqP7zv71xUbs28Rw9YsqHzCfpecPN0R95YDWDVjg3GvPGneoBI0FMmwUsQf+9iVkzkbnjKFa4MxDbzoCPNkc/i7QYCW92gXG8OCAR+/OMf44lPfKK8F+tVFPRnX1cUtEwqn2+Uk93ss7/e8bbz750eAfez39jT0v12O2s0OAMdIFA+UV/60pdwww034Pjx466BAB+UDNKr6WY3eEmKi/HFa5fp5IuVgbrOxvDhWkntcdMA5nQ8DyUgkDx6C6775RsR93jwN6tRvHplFa/wvQVHChPYO9a3gRoiGUQdnDKmEZOx2oMBxgOW+s6wL42jsysID44JLWgsrLKgDKp074EOvDQ3vGzr1s6Y/WSgz8ymVBRIuc0mkVhbwd6dOywlI7d3iwrq5pPqkbq/Vx3X8XUFBA70Ghga2BwQEDMpOzVoC4EAaU3T60pv6PDAJoDAGtWHagCBGh4HesabBQIEYsm8ki516nNwuqJugICqspT6G6iscyyugACDZwbbtUY0GhMzv127pmQxMtPuXtXNzeqeZP8Mt0vwQMghgKJiowR5cg8bCuwWlbh8BgIeU+5f3texlUWYhRzGxsaLWyCwJnjhbfTIMTYme8QgTKR6a1QDxD2ZIIsSuX2qc8IuZ0tvgazpwXiogNc+47FbaiBWa04JBJh0oUjEdo12NCjzvvnJT36Ca665pu57UVcUnFSPKEJB+mwHCGzX3fLQ2E8HCLT5OnWAQPkF+MpXvoK//uu/Bo1+3FYE+KDctWsXduxwdtKsdan5gqcOf6VMJ5V8+NDUAT/pGNw+3UGbbdqqdRzc/t13342rrrqqJXcmz+/nP/85rr766oarFLUO5KPfeA4+nnoA4UIBL5u/BF/MX1v0Edjbx+x56REjjaL2qgD/3cBZnoyZkmn3F9JIrcyi0LdTgg5SGJiZJxggr1vUZywetGRhSd/IW2pFVsDEAIkKKKKgY1UFhC6UVr4MzJjx9wywyN+3fxe1GPvvKzj9zPBSU565XHK92axKNaG1tRXsingwPqhlPhs4aYdFSlo3ak5rVgSquAtXqwisZ02cjKu2bSdaTcMVgXpAoJGKwLFjGB4Zqdks7DSDbGSl2221aoQjEDhxAv39jVGDKoEAFbFIReKsHWJwXFGB0qCU9ybvR1YDovF1DA6Pyr+ZgY/nVCsHqwHk6esaF7P60l9iVQ50c7oE/l6rKdm6p0XliNUDL/n+pqgOEeSuLi8Knc4OBFgNWMtSIhb4I8tNmNUA1azsXA3gsYrZmWEIJW84XF4NSOZMnE54cd7kAIYLy3jOU5tXJHP7yWgXENjuBmX6v/z0pz9tCAhUm0NNDWKVoAME3N5pZ/byHSDQ5uvbAQLlF+BrX/sanvWsZ4EOu60CAgzuKwN+NvDyQcmHZCWXX5tx8Ui3uupQefs9lICA9+SPkPzPZ+GaqR1Iezx4wWoUL1mJIQcfvhJ6Gm7tvQ4TNgUaediYhWJWu1qvQOWcrKVNUJYykc6hEFtEtnsUBXgkA0swoKkUDKOYsWRGlD0F+jsDeAbppFLIl61xktlQ4VlnM4hFYxiyXKmL9koqNpZRpB9ZFA3+rhIwkO9NagzlK3f2KDpFNLom8zA1TJnPzQ17VaAWEBDqlQ106b1WAwKpvIljrLwYNEVTjaD20SgQuH9NeT+MhKjcs/H1ItNZhxJGQz1mLkmpa3ToYJXLk7pCl+tGBuV66wEBHi+3r4CmWWwaZg/ISkaF7gzkuYwO+ovZcuswuFQylUQikcTQ0KBsh1QmLhcS8zVFD9IZfg065X72eUSeVLsyE/hSgUv3BWjxK23Qpu/TzHoUAWQxNTokdDVWIH4yr64xK1ZTkVI1gGfHzxID/cqxlFKmeVzxAL0SbG3onJsTcWBkaACHRroxnpvB41yaFTZynaotQ5ojeyAOHjy4mc24WrcdfQkaCDzpSU9ydaz2hTtAoOmpO+NXbOxpecZPQ/tOsAMEyuf+m9/8Jq6//nrMzs66BgLMmFDbeXJyUgVuYnKT2MDlJ7/SbsZlp/dQyafW2EzVoZG7bHFxEXfddRce/ehHN7K462WY9f7Zz362JRUB3++/gNC3Xon3Dvbjk329CBUK+NbJaQwWCvi170K8q+cfsbvXKFNvqawKCJfd4SxEYjUP0LCJXPvTcWKIPMxkVF78pCkwWKKhUX+w1FxZEb/WnB+hJkmwbCCWTGJ+fhHjk1NK8tMW1OnGUK0mUwyq5elp5XBF0ccUBSQeL4MxBlUrKSCWSKDH78Fob6DooKt16kXqk/4KFr+bm9E/a7dd+7JsGBZvYGr/16AGuQUCBETaAI1KMiF7g4WLZmEBAiaVk5yBQBm3qcrVaQYIFI29TOCg6NurVxvvI632Y1f+0T9Pz8yiOxJBl+XxYF9Grye4Ty6vrSZjqIw+g3ECzgENejRotAz0eBRSYfIA6WQCqURcVINIZWMW3mu591Kis5rpdj1HYVYPCAao/88mYG6bY309Jjz+SG+f3Hc0W+M+WRW7Yge/e0CvDlLaeE8RHLAKVh48qioXXaeparQjonwg9FjLmFjO+nDF+fvwsCFg5fQD0n+0XYPVzf7+/jMeCCwvL0sll9SgZkcHCDQ7c2f+eh0g0OZr3AEC5RfgO9/5Dq699lrh4rupCLBRlw9K8kVJ2dGNvNqMq5LLT/WFZsqjBBtTU1NN0Y8audW2CwgQaGya2mSa8MzcgdXYKTztrv+NpJnFc9eieOlyEm/rfRtOeKdATwC7HKU0ixZKhCC+nHgdJNtqmhL4S0CTVdlVJRFqirJKKldAYX0VF0/2YTXnkYCTGdPdPZvxF6OCkYHYegKL8/PYtbu2a7EOFHX2VwMG/Z3VhtPUYjcNoV+wx2E1nkTQ78F4b1ex0dTCEKVboqJZQv9TCRWV/uUxPDJPXJ+BHoPHvkhEvmu6kwo8afSUQzaXQy6bFVfmXCaLXD4Hn9cDv98HOtX6fT752ePx4lTKL9sRWpOFh3WWmWZrDBZ1nvPNAAAgAElEQVSHR4Y2nIPFsJJzORpT9BzKhxKgaaElyVKrgpAK0O1eALaf+Tca6vUPDKKrK2Q5LVjrWPSvUmN4iadOmg4DXZ2dtwfxZZ+7ok+A+mF5aRmhcBihkM1FTa9QsgxQXs0VlQw67JqGIR4XVInSHgI6m68bznWAvxaNinwv3atFgacAhL2mVI6qDakAyR9rvKqt+0HfJbxHCUinF1ewnjMQivQJXOU+RerURwdsQ2hEi2nVRDwsvgAbj4KGaazGcf/imm1YqMj6vB6LGdg3OYLLDu3Age6MCB1sNxAYGBgQ3vt2jXbQkZaWlkTkoQME6l/lTrNw/TmqXKIDBNzP2Zau0QEC5dN5yy23gOVPPvicgIBdptNO79FujpTk5IvBTu/ZKjMuHmll1WFLbwZAzpuuyuTwt2LoisCWAAHbAX7sa8/CxzInECwU8J+nlhFCHwwzh1nPOP5j9NXiEquHXUqUv2PgT0dYGh3pDDsbFxnQkP7DoJTxx3wih9WVFTxi9yAKhgcn49JxjLEuOLrYNjJ/yuk2L7SNhfmFukCgkW0ycGIAxgCLFKX756MIBHw4NNwl5yRfVrNl8d9VflfZTK2sBAingFg8Jt8jPRHZXj6XRS6XR876ns+p1DAzygR9lKDkd6G35PO2r5xgjbVCUBq4e7wFUWTyeL3wevjlkflhWrw3wj6HCr6U7S0iCk+mcigWh1yegPV324/WNKrtlLSf1LJLi4voiUSEpldcv5SML/+dte3VtIl0XjXLSnbeRufiyVXuW1dZlpcWEekOo6c7rMCUvSJj/awrNmzQ1X8Xc62opaJTww3Yfr8QBBAMDI9PCZ2GR1XLSVhfO1EBqjHUPbyxrra4uCDXeHBkHHMJ4DdLqvGYRmG9AQPM5hMwsAJF3wCCgcqqBBuwE3lD7uO9fboaoOR/5xIFZIwgLj9/L558/hjiKwsi+9yqZ5fTFDD5s91AoB10JL4XCECoGtTs6FQEmp25M3+9DhBo8zXuAIHyC/D9739fXG+pkkDFHtJ4Kvn8fLkxoGGwb5fppBsxFYOYsW/VIK2GzcKkILVitBoIsBeCYIbNyPVoUG7OL/+RS/GnA17EvB48MxrDm5ZWiqu/se/d8A9OFYGdpgcxCCFPmioputGSIQ+DDgb//ApaXB++xO5ZzmF5ZRUHxwcw0u1RfQM5FUaS116NWlE/iMojnUpjbn5uS4AAqUEzCfVoZdB198yqeEacP9YlWWM3Q7m2loCDmFzRkCiTw8ramrjoMpTO5PIS7Hq9fnj9fvj8AQnk+TkpUxsitciKk4t1Bm6/UMDsOikmBXQZOQSQs4BCQVVwrIUJJggsWEHgd/nZ65HvvBILqQogUHmyFTGtrjjoCgmnZ2FhXjwXuoKqglJcpsi3L/1OoKMBkZmlyk6fX7kKa3pVkWZVFuSXXnuqR6Afvb3VFZ0qm4S5T8mU8xqTikTefANvUg0EPANTQuHxG5Q5rX03OPkHlK1RUQ2w/00DATYL37OqpGwpkHXxMLCaAY7HVTOyBm0E6Jw7VnJ4PqxuPWCBnR3dajn6ZFD2l14Fx2LAww/twuUHR3HJVL/0dW03EODzeGhoCPv373fzsdrUsu0AAqwUU63oT/7kT5o+9g4QaHrqzvgVG3h8nfFz0NYT7AABxb0lHYCOjV/+8pfxjW98oxg03njjjWVmXDrTz2xhZcWAD+ixsbGHNBAgF5QW9q0qr7cKCJAi9O+//RA+GP89PCbwpdPT2JfN4Tb/lfhw90sw3uNFX0BlZjM5E4spE9G0ouUwQ83mzkhAqZ0w2HAap6NZnFhYw9jgAPb1GxKoHI2pqsBQUGU0XQ/GcoUCUqkk5ufmsXvPHtebqFyhmC0GKTLA/XMKCBwY7ipSbhrdCQN0KhqlMxlkMmkBx6T6SB7dY0gAHon0IhgMIOhXGX0Otz4CXOc41ZlyBgaCpujBc0jwUADm5ueRL+TR3d2jaEa5HDJZUo+yKFjZaA/dT80I2JBM5Z6BLg8Cfh8Cfr8FHlRlRwf31ebAbY+A6PmvUnXHg4lQAZFA46+1E8ePo39gwDUQIIBdznjg9yilnUYGgcDSWgzpyKTMwVioXiXLUCCuxsbJ6a80GtOLU3iAIG5kZBw/ngNYHyIwpcIRg3hSk3g9CLijWfadqHnjf9k4TJAQFaBt4txBNp/z86uOhiA8FO7BZefuwp9eMC5yoXyG33///S3rb3KaBiY1hoeHtxUItKMKwWvJ9+MTnvCERm41x2U6QKDpqTvjV2z8iXnGT0V7TvDBAgS++tWv4k1vehPuuecekeB8/etfj+c973k1J4Uv7L17925Y5lGPepRoHtsHjbhe/epXg66Mo6OjeMlLXoJ/+Id/kEWYwedLhEE+t8dGYf79EY94hGSuGzXjIhDgtnn8rRp8CYyPj7cMbLQaCLB5mtdmqysCnO9ULoU//8bTsZxbxdWJJG6cW8BtwcfgI6EXSrC+u9dENOPFUqogrqOkM5DKMdKlghHy2tkXUG1Ekxn87vQaBgcHsCfikf4DUlFIK2K4sjeieNpuB2Pn9cQ6FhfmMbVr80CA+6fuejynKBVLyyvwBIKY7O+qCVY4Hwz0dSWMgT8DblFD8vuFKkNA0dUVhN8XwOLyopw3A6HKIaQbB3WeDapBNs7Mqbjq0WBGWOvw603MLywIIBgbG1W7Ur3RMtjETXBAUHBkzUA2X0AfEggWUtKjwAUZpLM64fP7pSfB5+N3v/XdVwQw3OZxl6pBbI5ldptzsa/XLJOsrXcvNAIEnPoDSO1JFjzo9ZmYaFDciEDg+EoKwf6xYnNurSoWaVm1TPfUNSYlyPk1zuCR18boHcddVoHukhGlbsTKDe+P3T1K4UocjtOqUkA8QHDFZcI+A7si6jOqRyILTCcNoQRddXAUB0ZVk0O7gAAVpugov12jHUCAPXNMEHWAQP2r3OkRqD9HTu8L92t11tiyGXgwAIEf/vCHkoF+wQtegGc+85n43ve+h3/5l3/B5z//efz5n/951XPVQOAd73gHHmuTjCNd5/zzzy+ud+TIEVxyySVS1nzpS18qD7R//Md/lH285jWvAfsCaARGEMBS7+WXXy7NwjTncjPIoWRQRI3/Vo1WAwHKxBEs2edzK89FAwE6F29l74Q+xi9+6+V4b+Ln8s+PzszhslQar4m8F/djEmbBRE9AmSRRDpGSi32BUsAq1BY2uVYBAwyQf3VyFf2Dw9KcyfWZjH6AjqdQzbnMeLodrErE1+NYmLOahZ1sg11uNJYBpoUeZCIdW0bBH8ZwJChurhw66KejsWT802nRfOd58Lrwi1l+fvf7A0oFR/6v/sdB1SAOBkIypLlVteXqJt2ywyaNxMP+ApVlrjxNmkKx6ZaB4VRPeXApRnowMTY6VnMm7ltV3rtjIdUszMZm9irkrOqBAAb+LFWFUjXB6/VYIMGP9Xgckd5e9ER6FFjw+uTcifEUbil3lKbqzUyChlyGZLtLrdW2ZmWeu8N1rQ8ELCtq21nz/r2PBlyGIfcg78VGxsrqGu5ezmFgYAiDQdOxOde+nXpqQSInWqN/QAOBOd84ljNAyAtcMqwaujl6Kz8v3J6pAMGxqFIg4tgRUiZirD7w3FlNmBgZxCMPTeKa80aL83rq1ClxhG+V4pnTHLMisN1AoB10JH7+fvvb3+Lxj398I7ea4zJ2t+FmhDKa3vE2r9gBAu4nvFMRcD9nW7rGgwEIUImATaS333578dye/exnS0BKKctqQwOBL3zhCzUBw9/+7d/i29/+tihK6ODzDW94Az70oQ9J9l+aAq3BhywrCvw9lX3cjO0AAq2uOrQaCCSTSfFCaBUQOHnPHfinX/897vWZOJzO4J/mh/DenjcUOfODIRXAk4tM+ULRupemTJXKJ7UlJ1STjY+mbDaDP5xcRHBgXDjMlDtkbMfAhVQNBoB7eihX6uauUftMrMeFGkQwyuB1s4PxmTYXi68twfQG4Pd6MO6JF4N+BqaS4WemPxhEMMAsecBGB6FSjQZKpfnQUpbsJ+FwqgjIXDpUBQgESBtyGlTBoTY+5SWpKmMfjQKBe1dVz8J4yERfRYCs6Erlc0u6EYEBQYGAg2wO0VhUACF7IXhReWuUKghUOfKL2pGuLswmvIjlFK1MA63K81NHxfuFrl2lBmU6mA/aqEEl5R0FOdggXBlsUzJUBdMG9kTQ8P12fDGG6WhWmlt571JVqNZgH0a1e7HUt1D9Fc5ei2yugCPmOExDqWtxn+yroU4XK2gBH+lHyh9BqVEpyh0boQkEeIjdAdUfwD4Bgq6VnA9XPmwfnnDOGMZ6SxeZQODo0aMtM0N0mitWN0kHdapMb/YzXG39dtCR5ubm8Pvf/17655odHSDQ7Myd+et1gECbr3G7gQAzkczgv/vd78YrXvGK4mzQ4fe6666TBzuz9U6jUSBAqs7Tn/50vP/97y9uhlWBiy66CLfeemsZH56B9qWXXiplZh6Xm0GjFzrDVjteN9uqtmyrgQCbpHkem3ng1zpPDQSuuOKKMgC2FXPDbZy+/w9Y/N5f4++GArLJ5y2HcHVMqeV80v8MrPXstRp7VVaXVYJSDlcdBYNAla4WUkYxeGSgeOzUNPJ9OyVYZtBHZRoGy1q2kpruu5rw7Uolk5ibm8XevXuqViTqzRHPpJDPI2vRe6bXC6AZmgS0NB/z+bArnEN3F7P9pPdQDqm5RzCnaGFhUbZbDQg49QnUAgLUxZ9LqkbRg32bAQJKgpTVHvtQwWu9WQSOHTsqWd5QdzfyAhJUBYHUI6dqwgIiMD1+DAYLGOkyZJ4FLLA3waeamKuN4yeOY2Bg0FJDclpKNTWITpMlPcp5mk0qbhQ9Cxq5hLxHfzeXQDyRwq7RAQmqaw1S5wqM3qsMNZe1ASuBwFzajyXPgGzl/AH2NahtTnab4nztNEhrixEseIB+vwkainGMhQGCxcO7J3DZoXFcsX+obHW6wfOd0CpXdKdjZVKDVM3tBgLbXYVgYoxJuc28FzpAoP6z52xdorm30Nk6Wy0473YDAT5cSOOhkZfdtZDqD4cOHdrwe/sUaCDAQITcdqo3EDy8613vkoCcg82p5P4z+//iF7+4uDppHqT+fPCDHyz7PZURHv7wh0OrebiZcq5LBZBWvhRaXXV4qAOB9Vvei/E7349XjQ7j5u4wIvkCvnpqGkOFAr7ofyr+q/vZ6O8iLUg9eioNxuSXhgUS9MU3KWUJyRYz65jvn0IOXvT4CkUqkKLiyMoSZDGD6WZk0ilMz0xjz+49wmd3zMRazlKSyCWNIpdDikF/Oi1Z/lQ6Iw21DMADgSBMXxCLhTASyRQ8viD6erqww6bR7+b4KpclTWO+DhBwkpWsBQSKmvGmkpO0U2ncVARIDZoImxuAgFzrOsErz1MDATYm1xqc61Qmh/vWCBYLGPYk4Suki5UFVQVQ/RU+vwIHdpBAIHby1MmqQEBx5TciF1KoolmP6PDviqh54pemLvGYS/QkNlub0i9y30ICqWQKF+8aEC3/WsPn8yJnM+6yL9sICODyBAJ3rXcDwW65FqTOcfrDXuW+7DSo4HWU/RYGRJaXVR32Q1CaNZY1MdbbhasuUHKhPRWlNwIBVlhYbdyuQSBApbhWJn8qz6UdVQgCAaribYYy2gEC23VXPvT20wECbb5m7QYCpAPxwc0H6mWXXVacDcqVMevx6U9/GqQJOY2ZmRm87W1vE5MTBuAsmZL3z8YtUnz44mVmn1Kbn/3sZ/GsZz2rbDMECKQI8UsPKiNcfPHFklnSYKLRS7QdQKDVVQc2FBJs8IHvxlCt0Tmi3wIbt//4j//YdQ9GI/uY/+2tGP7J2xEPB/C0riiSholrY3G8YTGJfx14B+43FcecJkpUCiJngd7ClY2tKiNavkdmg0+fPoXI6BSWMsz0AgfIXbZcX6l6ky545N+kPTSSqdV7YGPu9PRpBQREr9L2aDRNyUYz0Jeg31LwYaaflCbh9Au9J4AgOf2S6VdbZqVicSWKrCeI4UgIg4EChty1vjhOeyMVASd34VpAQJpuLf4459Wu3tQoELhnVV00pVVffuhbDQS4dUq1EgDych20ScgygM/n8lYVQakcaeoRr6VQ0qzB5xSlSu1AgcAh6Pc5NusqYy4P+gOqz6XuIK9+3cBqLAEzvY4/2jeiDPRqgKKqtCA2XlvNvHq/4jRNyhcraIoPJp+nu08v44FUCKFQCKOUVLWQilCCqBXqMKQJOm/A7yXNTjlYC1VoDVhMARfuGcWzHrkbF+7s27A2kzf86gCBuneE6wX4rqWQx2bU5DpAwPW0nzUrdIBAmy91K4AAg0k+OOoNBuxsfm0WCDht/+tf/zr+7M/+DJ/73OfwjGc8wzUQIA/yggsukKazapSHaufFngbqgbdSQaIDBGrfVczYU0/8kY98JD5384vxf2K/kRVunInhe91vxQlzWNxNGcyQX82stWSuc6XATO+hMjPPYI7b37FzF47HFcGawZh2RE3lTByPk9LAJk4Dg0HVFKtfgBuPXKnZ8CGYSCUxe3paGs0zViOrDvxZvcqb5UG/UvAhV70U9DvNDDnV985FkTK6MBrpkirGZIMqM/U+v0tsFjacVYO4LgN51W9RGrWAAOUi719Tyyrue+n18GAFAqQyUemGGfZdLuaV1QRWmFgFYqBMhR5FPVJ9Clomk9KnUk3wqe/0aTiR6gKlUklNo+RtvaHBSjKRQCS3igO7dhRX4Qwr4Kmdl5Vzr4JT5a9n/ot9JgQQ9oBfAIUD6v3BsTiSpg+RUJcCnwYwEkRVIErFqJPrqmeGPR4ayPEW+uUC4A924bxdw/jHaw7JcVQOggBWBUg73K7BpMbk5GRLBSIqz6UdVQg+Uzfr2qyfg6zEtyLJtF3XvN5+Os3C9WZo4987QMD9nG3pGq0AAjfddBNe+MIX1j1Olhr5cCA16Fvf+laZfXkj1CCnHTATRW4/1YFIEdLUoA9/+MNg07Ae1ahBd999N84991wxpmETmJvBagKrDK00l2l11SEajYqVPDM/rVB2IIWFVSAqMzEA2upRBAIPvwjBG8/DM8cHcCQQwP5MBs9beDhuH34OTq2rALzbbyqZSgIDcRIuLwEoaoZqZuTQQGBq5xSWs14lG2oqHXdt6ER+M119uQrNmvTvxRHWy73Ql5fUnwJyuQIyWSXXmUgmkUzEYZg0TCpIoOMLdEmGX7L9kulX6jVuBtkdvzqxhqy3C8GuEHr9BWkU3YpBV1zOWDXAzPOtBFi1gACnn8ZTHKzY9LBiY41GgcDdKyoonQybG4LkRisCR48dxejIiHgW1BtUsEkX2HxuYCTovsnbqUeA9wa9JajoZG9k5s/xTAELefW52eFLSNVA9SOU+hJEJpX3ikrOS1UoZxooJGPoya1g587ahof8bBAcqF4ZRechoKNUqJXwrzctwuv/+XRSon/SedhLQ3sFAjynSplWA8pStcowsdt2jxIcziQ92L9jCM951C48YrfqOagcZwsQIPigqeR20pG2wqytAwTqfmzO2gVcvtbO2nlq2Ym3Agi4OVjdLPye97wHL3/5y4ur0lfg2muvrdks7LSfSiDAZdgsfP311+N973tfcRVKoV144YUbmoWZ9Th8+LCUQcn9dDM6QKD+bLUaCJAKxq9HXnopgje/Dr858T08b1ClTf90ZRCrvn8Qbf2FtDpWarD3BqjOQl+BjVUBCWYtCoUdCJger3I9BTAUNItZTma1j0ZJafCIfCWbVsWZl/SebFaoPUWdfhpzFQqKN+7zIZ1OYWR0VIJ/cc31UBNf0SM2M+46uYx1TxhpT0iOVdFuNrNFte7K8qKcW1UgYHk12PdUCwhwuftWlYuxMrtqFggAk+GN2XJXQGB0FN3h2il+MRJjBcNQcqfd3iaBwOAgenvKhQmq9QcwwCZFxsznsTNInwdVRdCAgfcon4HMuPK+4jVfQ0iA74iHVr5p7Nw5qSRR9ZDoXlOFTHGEprxs5fApDpxcH0Urqn5j3rEALMRTyitgIASDwb3lGeB051E2doY9NpzLbiBs9diwovXrRRMTw/246tAYnnt5dY8W9gfws0/a4XYNJjXoQ9NK75jKc2lHFWIrPBo6QGC77sqH3n42+Yp76J3wg+2I2w0EOB/k+FNf/rbbbitOz3Oe8xxRr6klH+o0lxpA2CVFWQm4+eabJbhn9oyD5mUf+MAHQFk0u549nSkPHDgg+2VvgZtBJSJKjnL9Vo1W049isZjQta6++uqGjdTcnCuDYPpGtKoiwBcWqwKUgNXjHf/1ZHzNWMPBZAjrq2/GxYOGyFQm6WxKGkovjcCUpGElb5qBDMGAZEUtahArAlSDmbN077kes+xkK3B7s+sFLCQKyObyGPYk4MmnhNfPIMrr8ymNflum3+f1IpVOY3ZmRigGpYeiJROjv1kUDkvMXlxZRfNIONk8W+dA9MT0HBbQizjC6A+a2B9RakebHfUqAtJn4YIaxOMh/52Os+LUbDV08/fuKgJKxpPNqfYhsqcNqAZJRaABIJDIqUZWVnkOD3jgaUL2VSoClUBA4m3nA6Wj7nrOg26fuYHiRUoNiWbSj5DLIp3J4WjMQDablybm3kK0WPUi0Cw1LmvqkR8BekZY1QT73Km+APv9xV4Bj4BUHqr9aFdSwK+XFN0t5ClgcrAbfX4Fip0GP1sE1abHkAZoVoM42Bvwq0XA5w/g/N2jeNUTDqAnWL3LuR1AgM8ygoDtBALtAB9b4dHQAQKbfeKeuet3gECbr+2DAQhoQ7EXvehFwuunpCebgMnz/4u/+IviDPHF9dznPhcf+9jH5Hd0Cmami03GbBZmg/A73/lOyeiTR6nL4zQUYwMwVYnoGMxqAF2FtaGY/RJoJaLf/e53rh/u3C7pLq0EAqw6kPrUqj6E7QICvGZufRoa+ag4AYG12V/jqw98H/fcdwC/i0XQ7QX29ylXYEYyQa8pKiZsvC0UNlYFmF1lCKSBAAEi7y0GKqSG8Pe9SCJkqoCfVQ+q9RQ8pPN4sbungHAX6T1BARVOQwOBffv2oGBTa5H+hQYTzcqky5D+B/1g5e9mZ2axhB6soEf5H0S2pmF4aWlBAEjRUKzixFSQWEG3quEjwNVPxqkzr6Q/x8PuKgIEREItMpyBgEzKFgIBZuYJKNn3emhgo0dBI/erExAgI4dVKDEu4zHLNKif71sxxf16LGxggLx7gkFy9sXwoPx1KtUD+luYBfFlSMZWEY/HMDIyahmqaWM13ciclaZfzqP2TVAuzGxc9ktfAhMpTpRBHiuPm/cD+fzsS4glUxgPZNHfGymjz1XOixxnWgENHierVctJ5YNBStP+yWH8zeW7cdFUf80p5bObFJbtrAjw3UXwzqrAdo12AYHNejR0gMB23SEPvf10gECbr9mDAQhwCugbwCw9s/bMrrz+9a/HDTfcUJHRMwQIfOITn5DfExBQ/pOBPisKbNp62tOehre+9a3StGsfLKe+6lWvEpMyBi7sIXjd6163oWmJPFM+2Blwu5UBJRBgI9TBgwdbdlVbTT+isRsBFd05NZDaypMhjYGVn1YBAQYCbBi0VwT08d96zyJu+sERJFIZyYjT6ZT8bqoQKpMxQ4I6rbtvP2/ypVOZLKZPnxJDJgb/VECaS3mRMn3w0T8glBN9fjrymt4gTiaYMTVEL72ebjvBAxvs9+/f59C4bIvsm7gYlP7L+UKYLvQhlTewM8zAUAWO6gFcUrrXTXzCFrF2WwzltbmYpZJEZS8uNzQ8XP2oKvsu6gAB0ZDPGpLx3mlzF26kImAHAqSXOFY9GgBVjVYEBLTkgYgPmOyhY3Vp4yomV7KeGpXJLBdJ9gpcHj92VCoCEYsaVJDI3vkgKa15LK6mek+ktnEdCzEMpLm5SMAUFSVKA/PzXbXSaZrIFQrIZpTrsqIcZUWmVhrWLRMGezVBy6KymZkgIZ7z4s4lAxnTgC+7jl5fHofHejcoOOkbhsd5JKq69wnQ6cNBgz5KycazwORQH572iF140vklB+FqNxuBAD9DrDZu12gHEGjHPrdCmrUDBLbrrnzo7acDBNp8zR4sQKDN01DcvZYbZVOu26ZfVhFI+6D/QatGq+lH2wUEGKh3d7uQWWlwQgkECObsUrT2VT/381P40i+PIZUtYCgErGcUFYWg4JxB6v+rqgCDujTlOiXDn0Iul0Euk5PsvGRIJcMfALwBzGSCEvCNV2jXL6eAhZQK+Jw46/bj0kBANQBanB9rATdVAadpIhBgNeK0OYDVrCF0jUuGlXLSZsbS0qJo1w8KEFB9ESr+ZchrqegLf0mR0DkPVMexYmTtPVz8zviXDs0MBBkQandh/n5+YU6mZXR0TPjmYvZWETAzo3zPiiJI7eox0UOLYov/LoG5Lb62LBk2nD4XOXr0AYyNjpXfnzY0JHQsq58hbypPCjpVK3ZWA0jDtlfSWYQaZJkX8j6qpjKlKhCq4nPAcrWudv30PPJ42Mzu99QHAspNufz47ZQgHpeoGmmDNfvPuaxMwPF8P9aNkPhsjBrr6PEXcHg0DI/HuZrAqtxyBohngLAPUlXI5iHNxlNDYTzr8oN4zOGRhm7TdgABJjWYMHJLI23ohKos1A4gsBXSrB0gsJmrfmavu8lX0Zk9Odtxdh0gUD7L7BmgUyS19N1m9ik9yqzYQxkIUGWJfgx059T9FFt5H+qKQLuAQCZXwGd+ehy33XUKlPvs8ppYyVgyl4UcRr1JhM0kkGNHpikSneTzk6dMmgRNtCYnd8rPepyi9nmODbgF7OkpMTQYE1IOMZ0XhXVRTKnWpKuBwO49e+BjQGZrXFYB9EZfg0avC4EAKxXp4IA0t/Khe/GQuYFD3+j29HIEAgz+WBEg44bnK43Rtp8JCphJ5jnwb9RMUo7NuolaBdDyN5NGWQAbRBmAklOuw1KqWfHvfeCjqI0AACAASURBVBWVPnvYym3QbItB/2CwQqteGfTK3+QIrOS80KhKrRiy39nZaQwODCAcCsk6mmplX5fBqkhdGgy0DQlim2nqPnbsOAaHbEBA5sIZTNBjIV0wxKyOTe7VBhvWybknXmJPiPYaYEWAn29WTp2GyOXWAAI17w/TxEoyj18sKtWsPm8G3bk4hj3r0nvDe4BKRASL2mAtawRwIhNG2vShO+BBX5fqxeFnabDbj2sefgBPvmACgQY720ld4b2+nRWBH/zgB0LT3E4g0A7wsRWKTB0g4PYJe/Ys3wECbb7WHSBQfgEWFhakUZD0mHPOOcfV1SEQYLaYPQqtGq2mH7UaCDCbyJcndf4ptbrVg9QAZlmrVQS4/2Nzy7jpf+7DyflVePNpaeolp9/wesVkrNdvoDtgSDAS9CiNeFFxyedx6iR9BAgESp2o5LSfFCMspdFvb1KVPgKhc3gQJt2lSgBnBwJUt6nMCjsZnDU6dxoI9PQN4GfzVH3xCD2IwMRpsOpByoZ8Z5N0xb/131djMVmux8pm621Jtp3/YNAtwaWSnZRfWb4J1r+s35YCX9JfRJbVUg7SwTV7V1gBIOVPL21/eWgwIX0frFJYQEAXAqwigkIWdd46iwuLiPRGBDzZh8Tn1gZ5zQlaiE50L4NIxOovj+1n/s6jAAWtEbiM/OwBThwvBwKVVQ69f875fQRxBl2TN5ql2Y+TYIgqPJS21U3s/HstICB9MBX4gypBlT4Qte653ywCpxJqcvdGTPSk5hHyeTA8MizqWMl0FtF0HutZU74vpT3IEADmTfQaKfR4MtJXU/AFcfHeMfzpw8YxMdAjvUT8qkdVJBBgIqfaZ7/Rz4ub5fgsY+W4Grhys61Gl20H+NiKRmx5DrAnK6gqqGfq6PgIuL+yZ+7d4H4u2rJGBwiUT/vy8jKGhoak2Zj+Bm7G/8/emwDXllbl32sPZ8w83XnskW5omlFmUGYR8HNWcP4E/BBEKcUPh+JvOfwttZSyqEIppLRQSnD4U1j1oQhIMws0TTcNDd1959wp92ZOzriHr37r3W+yc3JOck6Sk8Dt8zYhucke373P3utZ61nPg9IQgU+nAKKTfXQbCNBrgYU9Jm9pNaVOjnGjZXcDCEARICtI9YEAEroTGWW+c368hKbqOfnk6WUpB6Ec7fek5mbkStmV5aRRFYlRq8ZD1pd/551QZqYuyS1HD6u5U3qcJ1sbimTdSI43BNhkuDGeUk11lcVcP0NpIGAz142NtlsFA5YaNDA8Il+fFpmtO5KRSG4bToL9VNBPwGkDQhvMW7670n+SKBqiz+KiSubIwEC/rtMsj62NpTHZYBNDq4FbkoXnd/b39meAE4EsgwZumwyenZnV6zE2Nrpm8tLxBMdO1pz9ECxzzRrBgj1OU52wVYqkmpFUMq5cvSqDQ8NKp2q2jAbVVZFK5EjGjWQ876VUflZ9J5p9Dsz+V+dxenpaBvqL0l8sCEwmsuecM1Qe+8W/4ctfLptg/VbcrFvIvzJ/p5GvFUfG86uythzL7OzsSi9V47HB+09Lhq5XCdr4CQC157NXRHsDxrIid43FsjxzVQLJSG5oVDALox+Hzx7XRIFUjW2ifuTI4Xxd5iuhXC7FcnRsQJ5zYkAmMjUpl8tKz2MAvgEECDJYcGB/pjeLz/1jBQjsNvjYiUbsHhDYqbfojbedHhDY42vaAwJrLwCuyCgQwcPEZ6CTsRtAoNt9CN0GAlBe7rnnnh2vCNignx4PwBxBA8282qzb369KS/ZLKxGOIx/9+hX56H2ntTn3WL/RMadfgIBlMGOUW2oRMokammtme3pmWkaHh2Ugn9EmYyghBJwENkg7EvQSwPL79IA+VApNEEQmniAvPVaAAPKhKP80k95MzJ1aZdPIzkML4YvzsD9fm5kTx89q8LQAKKmYtDbnzDnYNLmy+BMCfDrrbjLZ8bps9+L8HNZocmBiTODKrwnqE/oNtI50VhnJSbBBqxHQPJq4CwOoqMYwpqaua7C9f/++NtZ15Hh/vLIuK5iMd3v8fWMoRo9Ac71LemYfWQBE4R4dyUjelVoYmwpKA6iyvwN48LMVLbIvPoAA92N+TfXBdFgwoAlx7ATa9djRe+1w/1qgwL1k+z1UXrRuAAW9Aek+kI2AAJSd9Px0CgRQCrpYcpSOdOtgLH1ZkSszC5oYoWKkd5xpotB7f77mSNYTlRU9MmBANCBubKhfXvHUW+T5t46tZI1JHgAIeDbx1fhz2jeBn/F/aQQMm1UTOnnOp5flWQaFFIOv3Rp7sc+d6L/oAYHdukO++/bTAwJ7fM16QGDtBSCDDP2A8iuSo50MnJIZOBN3a3QbCPCSpRrynOc8Zx01YifOyQKBpz/96RqYb2WQIeQ6pb8I+gk6KDvzd17ObJ+G5FYOyaVaKH//uVPywJmr6maKss+5xVhigtXE3TQMIimHJtBfrsUydX1amzvV5RdwQKAmJmCdRUrSoeE40iA7PQhwcXhlHRphUbVJZ7MbgQAbpSLQ+IAMxVEONdtLB/sE/UrvJtpyDeCw684vzIvnZZTzTqB6DsAijoxkzXG2pLMkNJZWVXyCWIJzVLhWaDMNF9RSg+yvNwMCbIc+hjh25FBfvKI20xkQEO3VMCDHDPaLY287YzMgwPyfXTLXBlAH/aUVr79xf8ZcLqFcRSIXJi/K4PCIFIp9UgsjBW9cW74DHExVxlGpW/YI7Ywvi2k4I620GK8vlTMl0D5QML0B/GyvXysgoKZ5ayRrDQjebHCMBPBIlNIbwDXrzxgJUIAESRWoYGOD/WoQ1uebpvxLJXMPc1zW5frckojr+fKCJ94sr7r7kBRACW0MAn8++zy3oK+wT1S9LGBot5qwVarKpz71Ke0J200gsBf73AnaVQ8ItHFDP0YX6QGBPb7wPSCw9gLwAiF4xMvgqU99akdX51vf+pZmje+8886O1utk4W73IXynAQEC5Magn98RYKaz/PxMFhCZydOnT7etJT45V5a//dS35dL0gkzkCVTipAnUlYwby3FUaBPZRMyxTp+/ICP7DkvN8aUSOBqwKd3BMU2OgAGHzHVBpD8LVcg0rdJrUAlXKULsC6UZO9YBAWRMY5FSPdZgi3X5Un+uhDtEYj0drlkqEccCnYR9a/Z1dlqKWU/GR4b13w/PodtuzJvuHInXVS/avR8tEBgfnxBVnGkSaDdm4jcDAuz71LzRj09TW65du66frY0qAlwL1mUQoJM9t0OVl9oIbll+MyCwot4jkbo0G42krQ2CV6iISq9qOD7+yTlBCyJQ5n6YyBuOFWCB3g1L1yIIR32H5TntcVUxitQxG+DJXFSX5yWslOT4kYNrKgXpJmFTCbA3mTkn9sU9SKUM6pH+HK42hT8y7+i9yf1461C8EvSX5q6pchMVIztmq4AaM1uHio4MZI3LNyZkT7ntqPzQU4/LwaHUB6ODacUMEknbtHRwq2qCrSrYagIUo2aUI363kWgCQTk9YZ260HdwWusW3Yt98kylf66ZLHO759IDAu3O1GNvuR4Q2ONr3gMCay8AARl800984hNC1rqTgQcCGe9uAgHoR/B5u9WQTHYNzwVMeZiHnR68DHiRPe1pT1vj9WDkOtcH/WT0ON9mQX+zLB58+E6AAOf3pTOz8sHPPyxL5aoc7TcUj0vLJrgvZEz2nsw3QOD8hfNy5DA9AqZZOIxcWQpiKQeOVg2ulFgf7ngsYzmzDdNrYNK76KMHkeHJH+9fBQuc+4UrUzJ24Igqw9A0G9M0HEaCY6yOxEEY2pDlkttgfw2nPOHg22sH5z2XzcjIiOHX44h8asmkkI8UjZnaVgY0KZpAFQh4GwXaqx267QAB+i3KoSPD2Vj2J+yc7QMBpDF3piIAhYX+ACo/h4pcia3CANEs9sT4mBSLrWWAkNKksZZelbRsqLpdJ9UDwAlStdCwMGPjljE+EImXQSyyVFqWWrUmwyPDCkwVIPjOys/cqwAJ1LRs4M93W5lIf96sVCpUpOsVUwG4aQBgabbLtvgs8jkZHzNAoGorKY6r3gsoHwGc6Z85eXBUXvXUm+VJR4e2civqOgABwClCBO2MdDWhGeWoVTXBAga+o7BGT9huAgGSVFSdUbfbrdEMZHW67x4Q6HTGHjvL94DAHl/rHhBYewHgmtMk+7GPfaxj9QmAABmoTpuMO7kFut2HQECKc2W3gcBdd92lwXE628/cw+WFMw09y37nhdtu6Z5mQQzmoDa1O4Iolv/z1Um558HzEkeBBugE7NZ5mObeffnmQIB9qNxnEgvOVUTOL+H+Gmuwk/EMhcdSOZDPhEpBNpdAruAjrUhAF0q1VJLRoQHxtaE2XuHlZ72kWTnJ7GbdWHwPTnd7Z9gIBMgwn1o0Da9UJuDTN/Y0tLNlgAAv94nxCQ0ENaHd5Imergq0AwTWmoqZI2kHCJhGWVMluWnABKR2GI387QMBq97Ddg8WYxnJeU0rIe3MH8u0AwSoBlQjgue4qWyodbiGOjTgR0px41rw+4rN5ociMwslKVdrQtM4y2rPQmyy+wAKgnfuLQsODIg1ZwLYQfFIq1tJhYv76P5pEehqQ5lYnnfA+ADYkQYC7AeARzMxl+XEoOlluFQSGenPyyuedpt83+0T2huz1dEpENhsP+1UE9gG7wtbkUz3JmxWTdhs/63+vldAoBOQ1ezYe0Bgq1f8xl9v65/6G39uduUMe0Bg7TTzsCID/dGPfrSjYJKtPPzww6pU000g0O0+BAsEUN3hRbbdQbBPGT4d8MNVZhD020y/Dfw7CfqbHdtWgADbmS/X5UNfPi/3PXpJCp6RASVTOVczjygy0wNusK4ikERJAs/aMjsu0hgMB1oiOTlgsrNkWpF05AsggEQmopoZx9H+gjAMpFQuy9BAv2RcxyjHSCQ53xXficQj+E8oP3ynAgDtg+WoLmwktd4IBDhOpCivV+lnEBnObK0qkAYCzIPr0VC9Hp1o43Py+3aAgDHDcjQoPZkYhHcCBDgWgECaZp4+hs3u6Y2oQYs1mmJNYEx2PpdZq7az2bYb/37u3FkZGx1rKaW7KhvqKvAYzK7fgzocB9pUIkeKIpGlDiX0Idt3ML9UklK1Ln2DwwpEqUypNKy9ZAmQg+jEPUYvAtUFgDD8/vQ9Bg3uy1OxzNW5P2N51j6RkYYC4uUrV5RWA/Vpumz6F9jFMXVhFplciiWT8eQlT75FXvWkI237BbSaYxIAPFs6reR2es1Y3lYwSZqQmQcMpJuZ09WEVpQjKq6t+pc2OqZPfvKT+o7Zv3//Vg59S+vsxNxaINCNSvOWTqpLK/XkQzuf2B4Q6HzOdnSNHhBYDwR4qH/kIx9RU61OBkCAF8ATnvCETlbraNnvZCDAy5GXYTroR7KTzBoBgQ36yYIyRzSZtpvpb3eS6BHgOiB/2ul49Nqy/H8PTMo3zl6V/flYgyAylhgkEcceKkQyffnsGmqQ3QcPMm1IFeOMSmMwQU/GiTTQJ3tKQtqcb6yAAM617zgylhMpODVBv35s/wGpx64CB+V/J2o3VrnIUoz4K1uC9560DKwAAgsYAAgAhpnpa1LM+jI2MrIi3Xl+CVDiSjmINLg82td5VaARCKjufBMgkM7GtwMEjNyqoT/dOmxmuB0gQGb7zIJZvhEI7JRqkGr01wEpxocBp+R2Kw3N7sfz587K6NiY9Pc152chsUlzLcE6KkqWDmQCeVPVIcCmWRmlK63sqERn8mo1t5vei8tQg2o1GR4yk5rxDEXNd43Nm1HJQp1olVJkaW05z5G+pOEXOtq35rjHDSXo5GAsjx9Zf3YAgWwmI33D43J2AQ15V0ZyxgOB6gDH9Izbj8jPPPfWtpuDN/pM70Sw2ukzo1VQnq4m2H6E9HcbFKd7ExoBQ6vehL0AAo888oj6UGwHZPWAQKd312Nn+R4Q2ONr3QMC64EAGYt/+7d/kxe84AUdXR0elnDsob10a3S7IZlAAelUTHkoc7caNui3+vz2Oz0StlSe5vWnTWR4kdGIPTS0dT5wq+PaDhBgm587NSOff+SyPDp5TY73G4lDMq7w9ukTkNkLcvLwAclkVw3F7LF4jqsZVoJ+6C3XKgT/kYwX6BkwKkA5zzj69vvm7+XQcMz3Z2oyN3VJjh0/bky4kkZR6B0h4CKIkiyuoRWRzUWyU/sHtLfT9COsBIArjcSxeiiwzb5iny5D8KcqSHVXlhNOOY3DaO+rnn+iQmOXtb+zLrz2fNdVBJJDabw2vudJkDgltwMEoIxcoIdBYvU6YL/tAAEaVs8umPVQo0lLtO4UEDi1YOZ+JBfJRAEgAOVoY46WdVy2VBz7nbXOX5iUwZERyeWLK2pCK1KjMZURZGdN1n0sn1zfxJOB+4BMuwJOV2Qkt2rmsFI9ShrG+XdpcU5q1bIcPXjQVJI8I6naKBUKwOAeXgpoVjftyJbzBeCgsZdmc86LfT77QPOKlKkIZGXOH1ETu4xj/B0mlw2gOb5vWH7tB54kA2l5p208OHciWO1091sJym01oVEO1QKFZtWENEi477779B2zmxUB5hZFJnq7tjp6QGCrM3fjr9cDAnt8jXtAYD0QQDXon/7pn+SFL3xhR1eHjBQP824CgW43JDcDAjzAGzP9ZP35PQF+YyNvoyNr4yTy8nzKU56ifg07PbYLBKpBJB976Jrcf+aKXL4+r5lyAiUy6GRK56avy+MPDkofXcSpQVBEln+mChiIxYkdDfQJ+opeqBQhaDhpuoqR8iSgdySoB5JZmJSbThxbRxegGhBFwIGGezUlQ4nKjirJJHQQvltX4Nn5BSEYL/bRkGqiSKoWKLhUQ2NgxTmOonKEkRq7ScjhjSEuIMGafy0vkdaNZGRocOV3lj5iXXYBExn6GRJ+PmDJTYy+7MPfylvaf1MNUanVWFQLnzixLSBAM+picyBgHYHtqSV2CSkOvDllfn/uPEo+E1IoFtf8XbXul8yMHCyI5HwTJHMd08G7DfQbvQNYz5yj+X8FONevq2JQLre+MZ/jobGbpt8+AGTWrMkcE9hzv9VoPJdY+1qoPNm/NZN8nZ2dUfrZ4UOHlcoGgIFeFsbr7y17p3EO0IAABXgZKG2r5shizZip3TbsyO3D630xWP/qlSsyE+XFLZpyAa7aV8rAXlfGh4ry1h94sowP7JwgwU4Eq50+jxCV4HmPG/1OjXaqCeyrsR8h/e+NlI62cpxUWXnmd6qkl95XDwhsZeYfG+v0gMAeX+ceEGgIrqJIG1Xf//73y4tf/OKOrg5AgIC5UyOyTnbS7YZk2yNw8uRJpRFYZ14e4lRKGoP+rbgP0+z25Cc/uStAAIk7qiad0rrS12B6uSaffmRGvnb6sszMLyolox7G6jEwPT0j46PDcmLIXeFMo/BDP0EVwzAj/K4ypGTe52pk4GOlGjVzFCbjf27JkXoYyuLsjDzlxLhkmhD+2VYrCorhv7e+i+gRcKFmDY6uVBUItql0YFKFfr3tS4C6YbXu01tMTms1lHVEnZrJbg4MDFpPspXs8gqASAyxVqVNEyWl5n3FuksNgBMnZjLONKeafZnP5kp+OsmM29Cac0I5hw0g36rKOclJ2CC/nf5qgnP2k8uutYDGdZomckyz9hVXVFybTLwBI4m6pz2CddpCZPmnr1+XocEBKRZyer9YAMV3AvBpNX8zevsE+taV2fYq8Nd9eTLzmz9FAALlckU1761pXdgEYLbaEoZ7UyVHnYsJ5gezsRwbMFWF4axoxWIVCDry8IUrMi990t8/IGO5WA31KqEjQ8Wc/PornyRHRrcoV9XiAAlWqX5tJ2u9+SyuXaIbQGCjY2CuP/7xjwvOwiRcGqsKm1UTqCxspTeB9w6fwR4Q2PwO6fUIbD5HjUv0gEDnc7aja/SAwHogQKb6fe97n7zsZS/raK5RreBheffdd3e0XicL72QfAsE9x9vI6edlw0sG6k468N+pLBNAALM2jH92euwEEOCYrixU5bOPTsu9j16U5eWSBjzVIJavnr0uo6MjUsx42rwJdQOetuXBQ/vByAmTKag7UIToMSBzfnLAZN8bBzSds/ORzM3PyZGJUTk6gFTk2qVUwWWDaD+tBd+4/atTV7VHYzSRD7V/J9iG7w7IIcNM4GpdkS2dBXxhgcGKGVbyu9m5ec0qDw4Nm2WSID5NgbFGY1Z9RgPQ1MkRUho6k/0JgrpjMuFinGcxo+IeZRsGCKxdVhd0kKeMlS/PAAjgHWD58RYSrFY7zASbLa0dCgQGBiWXW9uZi9QlGficG6sHhNm+qRg1BvH2d/b3jctktZ8iknNnz8nY+Lj096+XDzVu1K76PRxLee8xv/RCRLE5FkzhWpm+pc/MAoFjR49oT4E2cINq2hjaOF91tMG3HrmqdkWzdAk/gTgBwDEqSqI9L9wL952fEy+TkYmhfp1+lu0rZOVNL79bbjuw87TAnchatzEVaxYhKOd5T7/Tbo3/+q//0udns33aakIzJ2Z+l87KN7ovW/pRs+c8QGB5eVkruVsdvYrAVmfuxl+vBwT2+Br3gMDaC8DDanR0VP7mb/5GXvGKV3R0ddCvJ2D5TgQCcPcbg34e7AT9vBBswM/PDzzwgGpxI9/ZjfHdAAQ47/MzZfn8qRm595FJCWoVDfwfPntRZPighI4v5Tqa7SYIgp5B8ElDpR2AA6g30Fx40CHteKBF28W1pUAeuTovo2PjMpJzVvTz0/OvXO4WYGAjU6tWQAAAcgG+NiZUrmlMRl++XV8B5AShLO2f2GcYR0ljqg1KrZoo1BmTkaenwdXA3yjVmKy5/gi9JjlZ/k21gqB7MGO48bqvWFSBJp3lN1sxX5W6yGWtJBiPBg9X3YSCY+fR9FGsZvP176ycLMu/L5w7I/v27dfgHNCRnJY8PG+y3wf76BGIxXN9qUeh8Yiwx95eXL3SwdEKCEDtoh+BA9tfWFtN0oblmlGuOTlgDMPaGTOz01IpV+XIkcOJE3J7BwsdCC8DqEFTVahujlbJUHTiOgKQZiocgaM0Jp96gRPLtdkFdeDGWRh37nzWl1968V3y5OOrBmPtHHe7y+wFENgoKG/3uDtdjn1SUR0fH+9o1XRvQrMGZqrBDIBA2iuBdwJGbbxDAAJbUTrSj3hEw7jTFX+ajiaiywv3KgKdT3APCHQ+Zzu6Rg8IrJ1OHpY8YN/1rnfJK1/5yo7mGiBAaZpsTbdGOw3JPLAb3XgpIaeDfivXCQBAxtMOMkqf/vSnuwoEMBSDPgXg2unBCwuvhec///k7sulHppblS2dn5CvfnhQnrEr92jnJjB6W06WMeal5opn+kazJDDcO9P6vlWLtFyAaxrCsmWZ/rVaXhyavS270oKqrUFVopHtow+sGVI5WVYFWQID49fSi0YHPuZE6JRMaHusT6YOPngrs054FNvAlc64+Ag3ZUM65UT3I9DlEGkS0oxRFJWWpjlJNrFKuVHrY70ZcbJqMJ5dNveC2IUOz0VDaehy0eUecOX1aGzFNT4UZqPdcLmEMJ5oJN822670JVvsekrbtVKo+fXtA82Kuz545K+MTE+sqAlSarpUBTbHcPGQqDgxtpF42QIbMOw7C7Q6AQL1WU/MrKgLtDAJ8/DQAYZiHZT1TDXja+FrPAIDLfM3Rigzr0LwclOakkHElVxyUrO/Ja19whzz3tu6ZYO1E1rqdOUkvs9WgvNP9pJfH4waKDqB4J8dG1QSSRgwbyHdSTbDH2AMCO3m1bqxt9YDAHl/PHhBYewFssPHOd75TXv3qV3d0dc6cOaMSa2RrujUagQAPb8vjB4TwM0E/D+x0pt9m/PFI2GgAIu655x6ViWOdbozvJiDA+T94aVHuOz8jX/rWBZmfmpQDE+MyWcmq9OZE3pU+P5bD/QSHJt0MHz4daNEge2oBkzF8A0LNVjdSOWr1ulycvCje+AkpR/CHYjnSZyQb04O/RKgXtRjNwMDU1FV1eIUaZNjdJn3PMVwtxUoPcqNYXBf5SEcVak70UyHY+OrPzMxolrARCChgaVhVqVNh2DYQIAs9S0OqY7wEOgUCtw+tzrH2V7QX9+pRNwMCBMEE4XnPUHE0KHIxdWvPpMxOh51SezgAgX37JrRhWLeJ+0QcqzEa16Lfj9UgjEEwTnUpjIxz9Yk2KUF23wABnIUPHGwvGFfX35KZR5SC4Pcz7h43IBUFKHuP0GtA4/HXp2O5VkUiK5ZifVZcPyvDgwPyfz3zdvn+Jx7pxuNkZZuPFSDwn//5n9oHsdNAYKOLQ3KFKsJNN920ri+B39tqAkkl3jvNGpnpJ+Pvm4lJdPUm2YWN9yoCnU9yDwh0Pmc7ukYPCKydTi39Hzwof/qnfyo/9EM/1NFcdxsIYFZmm7YI0tNBP0pHaT4/tJ7Ngv5mJ7cbQACggY9AN15kUEi+8Y1v7FhFwM7RV87Pyf3nZ+RjX7hfssVB6c9njIa/QyXAVfOrw0VDRzEBnTHY4juBXanuqOMwAf6+vOFSpwdA4NLFi3Lo6DG5WPK0iZd1CTrT1I9WCkLpQFPJLEnjKVyNqakrytVWIKCB6+pjl4bU84lUJ8d1tWL2O5aPNeO80WgFBFjHSKCuRt+dAgGoL1BgOBYkRNsBAkheXkwqAjsJBAjAH503MzGRXDtLF2rmpLzRnAEW09USgABAqi/VI7Dih+A4ev0Bg4A3mnVpPjeVJZFCm5QgezyLC7OyuFyWQ4cObvpcY/7ZH+cJtYuqAMDnQEHkzlGUklYBkAUDpvLlyHXuIZqdl5dkoujIDz33ifIjTzuxLdfgTQ9YREUCCEq7mYhpPI5uZec3Ol+AAImablRUW+0XIMD7pxXttbGa0NijYKsB+Lvs5nG3c9/s9DI9IND5jPaAQOdztqNr9IDAeiBw5MgR+aM/+iP5kR/5kY7m+uzZs0JwtJ2GKrtDHrqN9B4ergyyKlAkbOBP0L9V3mbj8oZ+aQAAIABJREFUCfLAJmNPxgn6UDdGt4HAgw8+2LEHxGbnSVBLv8C/3XOvPLqUkaGsK7ePiKAYBO2HAJ1MOhKJzRqCAQxTFV/mq/gJx3K0L1oT4FsgcPTYMQljV5WEiKbIZhMMpre5tipgmm2tURnHSdCoQXgSoU1dnRIv48tYEyqWoQc56lUwnIk06Fusm4rEiYF4jRZ/4xxtBAQ08E8DAWQqO6AGGYBiuP9QcWanN6cGoehzKQECj0sp0zYG35td68aKQDNakAE6nVcDtD839dZrBgQIumdrrvadoBbE8jSkXyEYF2ReY/UwULCZmDuo8Re9GC1OjsZmqFyVanVTIIAiESZm3NPcf1dKsQJT7u+n7xPBUMwOQx+L9fgUODiuehAs1GKpVkrywtvG5P/9kWcLdLFuj70AAnuRnf+P//gPecYzntEVsYVW14jkCsH+VvrfbG8C9CIEInbCsb7b99J2tt8DAp3PXg8IdD5nO7pGDwisBwLHjh2Td7zjHfITP/ETHc01jrlw1DuVWLMynenAH2Mygg2C/HSm/+rVq6resJUHcjsnsxtAgB6Exz/+8V2rCHQDCDB39SCU//2hT8vFcECuzpXk5gFDCSIImqpoq6QG4WRr02ZWdt7JBJ9fNmZhvhNpwyVBKv9V61WlBh09dlQrDDTywndnq+joAzBowGRZHHyp3PCCNW7F66+s1YnnLxsBAf07ijB1As9IjvXFcnYJIOEYylNfa07NRkDA0INiicJIaQPc49VqRbOKnuer4yx0JRoToQzwPd07AOf80QUT7DKfy7NtAIEkgCUcRtveju1Sg5rRgqi2dSK9ybEQjDeajzUCAbATTcKhuCsBP6AI6Vql+3kGbLaibfH7tCqT8TqjsdmTq9eu6bVIVwS4nxRMJFWkxVosFxaNC7AbR1qBWA4M1eeuMVG1pDUgQESWqrGahInjKjAGkEHFGs1F8rYXnZC77ritnUfPtpfBdZ3n5m5WBPYiO79XQIBnznaksW2PUI8atO1b/YbbQA8I7PEl7QGB9UDgxIkT8ju/8zvyUz/1Ux1dnfPnzyuFYSMgwIu4MdPP7wj6GzX64Vk2Zvq7rUxEcImqT7ecf5lQgMCdd97ZsepFOxeD4PTrX//6jlcE2Dcvso994lPyteCQnJspy+XpBbljRDQ7Sxb1SpngFw9VR4O1Zmou5SCWyZLJuCv/O1ERMhWBSaEiQDad4AzDL6gWBId9PpKY0UrT6Ga9AhyvpedsBgQI3gj+TaUilqpSQQzP/0gxXtenYK9DIxDg3jEBf1W/6vWacF5sOZvLST6bU0dm5hFAYL/CMNBNUuny/cwKSJisFcT1fDnU70qwOL1ps7DJ3JvzgE60E0DA0oKYizSly/XclgpOze5TpXQ1adBtBAKG3mSMyjChA8Scoy8gNn4U9Jc0qzi1+mxoiJ+Ag5nZWQ2UDx0+bEAkVYQUzlPwmVRhyP7jcTHF/Sc0xIsC1zUgIKYiFss5XcdUAtgefgvH9w3I9x+N5Y4j43LLLbe089Hd9jIAAe67boo1NB7kbgMBrhv7xPm9G4aMrS4CyRX2vR2zzB4Q2PYtfsNuoAcE9vjS9oDAeiCAWcvb3vY2ee1rX9vR1QEI4GwLrcaWQxuDfgIlsolk+q1yD98J+ttRU+m2MtGNAASQP/3e7/3ejq5dOwvbubnlzrvlH++flVNX52RmflnuGhUZyplmUuQrrTw7YIBsfuOYrsRK/YBaYs2gCIovXpyUI0ePSS5jyN9UEOBbI90IMMCk7Gi/o5llJwnkVIIzBiw0p6lQXcBQrBU1yB7b6QVHAnFkyA9lIi9yfhmjMfZlGoebKSIBejluMnwm8K/rfU+Gn8C/kCPwz0o2k1XpHpupbrzPozBMQEEg9WAVIFysZLRhtk+qMuTVFNjwOaF6kP6yYFmBQNnMTRoIqAfDFpuFm9GCmLNOGoXZd9rcLH0/0Fe0b2LfSo+AqiUFpueEoB+FICoCnAD/bnY/6fHom5Tsvvlu2o65N4yIK7Ss6ZkZqdWq6ixsm9rttAAGoWJpbwk+Ip6pTFAZwAzsCSmBGuNpgZ8AZniY0rkyXxWVnl2ox3JsvF9++rm3SWb6lFb9eJ7uxtgLILDb2fm9AgIkV/jc0tu11UFFgXdfryKw1Rm8cdfrAYE9vrY9ILAeCNx6663y67/+6/KzP/uzbV0dHs5k2ugRoFmVIB8AQGBElrOR3tNu0N9s591uSGafn/zkJ7XPoVsZp8985jPyuMc9rismPGSpuw0EqJZU3bz89WfOyZmpeVlYKsvx/lg9AgiOLpUMGCAGQ/qyUS6U318sxVKJPJUD1eqBE8jk5AU5cuSYuA3KTgABvtC6L7pmm2pQBdUEUr8dydNUyUZKOTIhIfKhZNZpFiYL3IxWoio9dUMHuWnAVAXOLZqmz9FcLMOZUGpJpl+pPtVqsi2jTsXLHSfebC67BtBqJjw5PiodfFbaAbysQlC8WI8lFweSLV9TOhT7qdcDrTbwb4atJFTdnMzHBeWj3zbsKFhQudIV1f62Ps5rVIOaqgXZ7bX59mpGCbJHkgYCZP1NUzLysbFAj0JGFLB3sOjIiNJy1gb52n7ekNk3wCAxO0v1avBsIhGBGEL6lkHjn0oA+3clltGsyDfmRGLHVfD5lPHVKoSRsI10WYBDJXSVWqYVKonk+NiAvPRJx+X7H79f7r/v3l0FAjS0cn67WRHYbSCgVcmPfUye9axnqeHjbg2eqXyWekBg8xnv9QhsPkeNS7T5KO18w7012puBHhBYP0+33367/Mqv/Ir8wi/8wro/8tKlaRdzLivXyc8E/VYj/fDhwys0Hxqj2g182rliuwEEoAbBs/1uBAKzs7Ny//33d6UiYEGSpU2dnS7J+75wQS5eX5DZpbKaX0ETIniarppmWVWhKjoy0CADSvx+HjMvgvY4kkO5uly5PClHjx5VDn3jAAhcpw/BMZUBwAMBplYCNsl2X7s2Ja6fWdMsrMZaSIjqjhyleJxdMgpHR/KBuFFVLi5GMleNJKgHMiYLghsugTjBPkF/qVzWoHAjV9V003CnQMBKiJId76us7xFopBjNVCK5XvMlDmoyIerGpTQrehGy2aSK4Cffs9mWDfa2WThf7NPAfB0tqMNG4UYgYrP3/P70mTNyYP9+rQjMlEVw8OXv+/Om+ZYxmInkYAsjulbPDGN6bAzcTJ8ApmzXBb+KNBBQdaZlljOVFO7VB2diqcamWfkpE6tA1hjaGToRlQrucRqJMx5ypiJ3HhySl9x9XJ56bFjG+rPyP//zP0r/262KwGbKNu08XztZZi+y84BfvAv2AgiQzae3a6ujVxHY6szd+Ov1gMAeX+MeEFh/AeCvv/71r5ef//mfV81kmnNt4M931BPINjZy+mkUvnz5sppxdWvspDJRq2PspvMv+/zsZz8rgK2NAsitzh9A4Gtf+5p83/d931Y3seF6jdWSS3MV+T8PXJEHL8zIldklDfgJ1LOOSCVKTK1iqgWODGbtpmNtEl6qRyrdSbDqRXWJZ87LsWPNgQBrGpMp7cmUvGsaiAnO11QFmhz91LUpdXgdHhldB0oBEgSHZPnPLIlU65F4QVnGvIr4maxcd4YURAzlPDk+5K3Qe2gEnpmZ1az8/n0TBoskASffyBiHYaxmZVCc+Ldq5Oti8OXN4nzXL8N+WfN7OOdzNZPZ7gsXtfl4cMAoWTXDPnDcF/BEkFjGc7Eem/kKtPKiDdZhIFCRoM0Q2Pi+JxnP1fnJ8LPvy/T1awqaokxBrldgv4vcNCCS9WnydjTwVVZ80uidYKmEf5R+pUGp4vyNeZjhjK29QAD7/fv2S75YVO8AOkzybiwVLXY4knUjVY1qRs1qdaNa4JFuGG8GBNQxuJo0oDuxHCrE8u0Fkfm6p+fy+BGR8YLZS7r6dHbRUMegA+V942z8vY/bLz/5rFvkyEiygkgPCHThCWSBwLOf/eyuqbo1O2ySK7zzeDdudXDsVO+gDt7Io1cR6Pzq9oBA53O2o2v0gICZTh5SWNTfe++98va3v12DfFSAfvu3f1tpMo1BP5nRxkz/xYsXha8eENj4FgUI3HbbbRu6xG71Jt9tIMBxlmqhfOqRabn3zHV54Nx1zY4OZkSCOBZUWAjWMYA6VHQ0sDIBrwllreIQmfX67GW54/j+phUBOx+YPBHAEVACBqAJ0VIAZ7vVAAgQ9E6Mj0ulWjMUnxoNvTWlUrBmNuNLzS/KghTF9zy5ddhVF1nNGJdN4H6gEKt2fUCQH4tMz81LPYxlcGhY/62/jxz92VBWEkmjFEGfz4xRqTGBrtYkGt4CltYCPUkpUSJSDBbVs8ECAbN2ChA4XAeAgGmwpTLDMJQVuzezDr0ZQQISAAX8HAShAgSjjw99yZWKk5PA8fX6jeYcdRKmSdhzfQUl7GflC6dhB6CQ0LYcrguSm5HeD60CeQsEmPurZeYuVrChhm9xJCcGmitQtbrW1kVZKzENklJUBOq1uuw7cFA9GlD34VwBHtxHVIQmVbZW5Hi/o47GRgtLZLESaTPwJQUP9C24CgCGc468/gW3ykvvPrrueUhFALCPCdVuDCQut6ts08lx7gVNhyTUxz/+cXnOc57TNcPHZnNAcoUAvgcENr9DekBg8zlqXKIHBDqfsx1d4zsFCPz7v/+7/O7v/q4aZiHfSTDejJqTPvn/9b/+l/z+7/9+0/l4wxveIH/913+tf2u13Lvf/W755V/+ZfmzP/sz3Q6ZfzwE+P785z9fXvnKV8oLX/jCtjPXgIDJyUnVeO7W2KpEaSfH003nX46jm0AAZ+evfvWret26MVr1T9TDSD5/elYeuTIvX3r4kpTroQbNBLXTlUh7B8iqotV/sM9QhazEKBQQ/AVmZ2bkCUeGZSDXpMM4dTKABygkBNRZJ5ajA3D7yXKvHQS4BPyzM7MalKuOf9Loaig+OUP1yea0KsExItnJd6oaHGM9NEo8trqByZhVmywtL6tyDiBZg3KoUEmu3irSGNUac2S2r4GMvSrZpBRt+B3Zc5ah4dXoKhmzM36Xr81JTkIZGx9fc5Lpc2ZecCNG8eZoonCzQmex1Yek8mCAytoKhFYywlibq3PFfpkOsnp+2bgqXhSsqAQx7wArKFy+54vnu+a75yVNxKZBl2MLY6Q4DUjgeqPBz3f7denCOTkwMSFTcVH9I1CVynuG8nW0z5iJtTtWmqLh+nsGvKUHQKBSrUswcDCpOMQy4JveFgDXg7PMtSsjOSO/ulSjj8XRJniu53zdFZqn7TGeHHbl7a96stx0cKTpIfaAQLtXrv3l9hII8Ky444472j/YhiV7FYEtT90Nv2IPCOzxJf5OAAIEhqi8/NIv/ZJq9xNsYej1oQ99SH70R3+05QwRdPOVHkhT/tZv/ZZ8+MMflh/8wR9cAQI4BbPd9CBThTHXfffdJ1euXNHM//79+5Uf/5M/+ZPyxje+saOrc+nSJUE5CGm3bo20MlG39tFtIPC5z31OJQWZ650e3QYCG9GmCJa+cm5evn15Qe47dVGz72RNUX0hk1/FiVhclYEcyMTaRMxX3hO5Vgrl+uysjI2MyM3D3opMaKv5Qd99qmTAQIbAt0+kWi0Zzf6qkfDkxav0FYdA1ZPhkWHxMzmJPV/13gn4a5H5zhd9C2R9odgQxaIeRCANGCALTFyZ92IZzpo8cWV5SSk3o0MD6qhMNtxkyNGtN2ZUGdcxXgl6HImkadLgbAsFFjyYc01Fr7HIw3ORVOuBZKvzMlpwZP++fakpWX19GMDFcZr5OJl44XFcjdr9m91z9AhkRg5JyaGsEKuhGXsKwlhqQSBlqFT1IPkK1V8CIIj3Qoz0q5cR1/eJxrXxm7kHKMDXt1UM+x3lpWzfkFSdrF4DlHcKKhVrAnRlIbUxbCWARY3HwXoVqSvXpuVSyZW+oREFbagBjeeN3OdXrztSi1ytuhwt0ijMvg2VCzDE3JZDKhaO9GdEHjeeld/4wafKxGBfy6P74he/qJ/xkydPtnEG218EiUuOdTta950cxV7QdOhF+8QnPiE49CJCsVuDd2Q+n+8BgTYmvFcRaGOSGhZp8zHX+YZ7a7Q3A98JQOBlL3uZcvAJEO14zWteo1xvGsA6GfD6P/KRj2hgb7mIVAT+/M//XPfRzqAZFFfhN7/5ze0svrIM/QFk7L/bgUA3nX+ZrG4Cgfn5eaV3dasi0E7/xDcuLcr9F+flgVMXZblckUO4wDqOTC5FqrCCS6vy3bOOAgGVmq1Hcnl2WUaG+jUTf3IQfnhz4yiyxVA8ri/XtaFUdfjDuky4Jcln/RUFHzJ4BP0Xp2aU4pLrG5JKaKgemqRPcWssxx8603SFvgWRsWwkIzkC/FjBAXx9MvUH8pEM52JhrucXFhRsWOUeYxCWkYyPSRjZciOF6jk0T0daeWjV01APAkNZqkBbqiiF6VpYkNDLaX/FyZG85PK55POWAgFJLWS6Rh+FJ1k3lBMD5u+AkLTDcTsf6NOnTktl4Ij42Zw2gBOQ2+G7ngSRUStKD65h2hsBVaNqAhgAXdqV4NBkkBFxM3pdxPNlaXFRgtywBG5OQVlfJlYwMJw1gIh7AKAIoOQ7X40mvWn604pfQYM0FNfv21cWJQgj6R8Y1Kx/1jOSt9+cTUCAxHJswBjYcY+xXWhD83WRpdCTaoifRSxPPDQgv/4DT5G+wsZc770AAtvVum/n/rDL7AUQgMpHQmsvgADCF6i9bXX0KgJbnbkbf70eENjja7zXQIDMJdQCMva/9mu/tjIbBPNk9OHQYvDVzkDCkwwUVYX3vOc9K6t0CgTg+L/qVa9aczzt7B8gQDMvig7dGhcuXFCQ8/SnP71bu5BuA4HPf/7zyhs+cODAjp+DBQI0C++kWpM90HaAAMuemS7Jl8/OyYNnr8j0/JIcKsaa6aU6MLlk5DkJrAjqCPwkjmRqZl6kMGL4/14sIzmT3fYkFAmqIkFN4npFopraGKvxVuAXZU6K2uSaz/jqRgtXn2ZTgn4C++WlJQ3W+/r6E+6+4bdnLF3Fi1eoKgSecNWXA0f3e6IvVNBA9v5S2ZVSaEg7x/uM1jxBPdr/AQZh6gGAtGddG+oZKGmp5r+fER+QkskqpQaAwDIE/Cbwr0oQBrp8LpeXHMpEubwsxnlZCD3JJbr6bHN9JcEEzXguzNRMs+2xfvM7BQJUYtKBcfJzK3feh06dl3r/AU0kwNEn+LZDG3DTkq1N7mBThVj9gwK3FQM1Mz81zNZqdVmoe3IlHpCyZKXPi7QfgWoRcq80MptKgkFtxhPA0IosKABM0n+iQylBqASZf/MNcIHa1KXlWJZKFe3p2D9U0PWD2JELSyI10v/a0C6qGlRwQ6UkcaVPLzoyXaPfwFDFnnPrmPw/L71bqxybjS984Qv6Gd/NisBuAoG9oOlYIPC85z1P+vpaV2M2uzad/h26JftD5GGrowcEtjpzN/56PSCwx9d4r4EAGX8kyT760Y/Ky1/+8pXZeOSRR7ShtPH3G03Xv/zLv8iP/diPqTNu2lAKIPAHf/AHMjo6KjSTsl18Al73utc13RyBPMfy1re+taOrQ4CO4ReKDt0auwEEuun8y7x8NwMBaFN33323jIw050Wnr/uVhap84cysfOv8lFyYmlNn4IGMoVtcXIqkFECXMaZdQ14gF69ek6hvQnnuKrUX16UQVzUAJEAm604QTaa9mPEk59O4KrJAA3EFPjo0HJGhrAnsTZY/Vk8LAr/x4f6VAJKAHy4+weKqDr3p8gVEoApDoHywEEl/xvwM9eXckiuRAw9f5MRAc6Mx3S2GU4ACBQeGqgRYqNWDNeZnZLA9lEQyWcnl85LP5bWiYE3CaFa+WiFQFbl1sLkHgp1zqi1zdVdyTiRHEyBgsuVpsny6kmDWbAQJ9566IrnBURnIGyCQHmsalJt8yDfyDGj2TPjso9elkh0yDcleVcbdkkRBXSq1uoLGungSOJ5EHs0Z9CR4Ol/63dNuC12XfpR8BrfjWIN/QCbfcbyG+sMFrFfL0i81GR4ekCA0DsahuKqydGJQ5LYhKj6m2lGqi3xr3pHFwNCZoIO96klH5Cee235GeLeBwE6YXnXy3N4LIMDniPcbPWz4d+zWoMoKFWm7QMAaAe7Wce/FfnrUoM5nvQcEOp+zHV1jr4EANBHKnLw00pQapDhRnPjHf/xHgSbUzvjhH/5h+dKXvqQ8fRtIsN4//MM/aBYd7j9Vgw984AP6RZPwb/zGb6zbNIoML37xi5v+baPj2A0gQE8EvQjdVCbqNhDgWlPlSeuZt3N921kGb4evfOUrCgTT90A767azTKf9E3Olunzm1Iycujwj375wTcbzcOzJyDtypRTI1BJKNaGq9xSDJSm6dZmPClJ2C+J4GSlkXBkt+hKIp4GdBu4ClcME7AR8DDK9BI4E9wTp8L+hf/T5IpX5aQ0Wx8dGtBKgmWX9n5GOXBn6own6Lyy7Uo0dKbq4Ga8uAsWEBl6WGcyiO79+1lDgIWBJf8HdJsNNlj+fy2nmWh1vA5Mht1/MBcNzPa0kRF5WrkV9ei1RsSnmMtrQ2mzQQE1Da8EFCKxfwmbUV2FBkjmnR6Jel2qtIkvlmpxZcGRoeEiODvqqimOH9URo9dLSCkOimNTOvUSm/ovnl6RYKMj+fk9uH1o17mJ9W0lQUFALZLkaagMv1wATsKr4EoknjuclHib0griS910FBbgyV0JTDeE69gVzwp00MTYu356jZwUIEMtNg44c749WKg6zFZGH5qkmGaR4oN+R//sFt8uzHne0ndNaWYbPOZ/xdiu6HW28ycK7DQT2gq+/l0CAyj1JtK0Okhs9ILDV2bux1+sBgT2+vt0AAtAzoMlsNqCHfPnLX94RIECTKGXoN73pTdoPsNmgcoAxC816PJzSg2wLXzQddzKuXr0qjz76qEq7dWvsBhDopvMv8/JYAgKcL/Kin3l0Wh46P6V9A/moIvlwWaKgKuXIk0V3QIP+SrUqR8YG5PBgRq5XHZXuZKihVMHQda5WjOwjrrMq2RmZLzL8BPmovBClI0da9GPp90WWlha1iTJfKBrNfORM1ZlYBAp/loZjmntRtfFMky9Nw6gFETyfHDA0IDsIYGnKBU8cKESSj8n4VzTw5xzIlBqKj1Elsl8AAXoFwB6t6DVrTcJoyK3L2XJWojCQYVmWvBMoXcbPUBkx5mAYhvF9pp6RxcCTohepx4Jphlj/SdRehBQliePmPNlG2e9XEJbP5uTmwaTikWwDcEITrqUUrQVRRt0opZS64SOAYP7+aZGZhSXpK+Tl7nFfj5VrWU+uK83D/HvlNFSa1LgzMziPSj2Ucj2WchgrGMQZOo4CqcWeAQBeKPuygXoE1Oi/iGK5mjkoVVythSqLI4f7VnseJpdFTi2YBnNqKbcNe/Lmlz9JTh4a6/iRtttAYCfcbzs5yb0AAiSySEa84AUvEDj7uzVIruBkfOutt255lz0gsOWpu+FX7AGBPb7E3QAC733ve1vSbtKn+9BDD2mAAjUIq3aahu3olBr0t3/7t6o6BJeRzP9m45//+Z/lx3/8x7UZuVESDX459CAkTDsZU1NT6kVAhaNbYzckSrsNBGgiPH78+A1bEbDu01Qn7NfcwpI8NBtrgD85W1FlnUP9ngwXc1INI7m0FMnFa7NKX8v6rmbaUQZCrlF1+WN6BVCEcUQFYRwUhwxvm6w/HO5aiOJPLJfLZIINr5v9ZKOK1CoViVRi1AR51kwLVRsjhelpFt4GzoSBGJjhXtbvh6ouo6FhGEi9VpWr5VjK9UiiIJAxZ0kG8r7ks1kp5HNK78lkMysBc/qzYPZvHGrbHacXHIHdMuKHMuDaXoTV71COeI7MRXmpuUUp+gCnSHso6EUgbqbyYBuRV4BKHpBiKhR8B7ycWjTUrSE/lv1JnGVVjeDq63Gnon01R9MTcTQQVwnSpGrDdxZXczX7u6SSQ5P3YuBIpVyWIwOejPaZxtsVcGH0WBNSk3Hzpc+DHD59I1DAoH/xnfvFhPWi/gBsuxpEeqwAp4LUpD8uS1wty9loWOlGjCP5ihzMBQqkMI27UCnIdN1XpaOME8mLbx2Wn3vRE2WgkG/3Uq1ZDgrgoUOHdq0iABDYrvttJye6F3x9XO3p4dptIEDCDjokam9bHT0gsNWZu/HX6wGBPb7G3QACnZySbRaGpvOWt7xlZVV8BV796le33Sz8ohe9SCkzgIt2xkZAAMUZmnHxNehkUF3AB6GbQIBzpE+gm14F3dT5Zz4BAnhFECTs9IAPz0uLFyVBwU6PZo3U3MPsNx34E2ySCR8cHNRmeL73DwzIN6+W5dtXluThySm5MrOg9J2xnKPZ2ocuXBV/6KD2AogTq3wnso0EdgyaYAnIR/OxFD3T8KvK/U1i6usVV+bqJoNMAE9QSy9CpYb8JZn2UKpBKDVoPEGk7r+GFuRq8MwxVGJf+xjYy4BT1aAfugoUGcf3ZTEuKE8d47HRvAnwGexP/QD0y2TVOVb7u4zrasViNbNu1lMfreSCaXts8o+rJZFy5Eift6rgk/670nGiUC4uherH4AUVGYiXFbTQtGunB/lOmnAzmawCFZ8GZj+jgS87g0tPozQTChCjaqJ+A4kHgQKK5Gf6MUyQbxtz0/0Lprm38fw4OSPFaqo76jFQWZQjQ4CnrFK60gE++7f/zvnGYKyxwdlKhVI9AASo9Cs7io0qEOCQygAg5cxcTWVfoVcdL9TUPZqs9kIllHOVvCxHxr+CKsIP3laUZ91+WHno9otmURqo223CBwgcPnxYQf9ujMcSEID6iJznbg0otyQpekBg8xnv9QhsPkeNS/SAQOdztqNr7DUQ4GSoBJRKJSETbcdP//RPa3a/HflQaEgYgdEU/Hu/93ttzQ/yoMiwkcVvpAa99KUvVS3qd7zjHW1tyy4EEPgiepLKAAAgAElEQVTWt74lKDp0a+yGV0EPCLS+epTlrQqKDfwBAgRkBPvpL4BAszG1WJUvn5uXyekF+ebZq+JLKOOZulyaPCejB47ItXpWA1gqAgxCTQK6PjLd+Uj2FQy3H/bGqnWViaJpvjVBtasuu1eWY0MVik2Ge7j5Iam77tJySUrlipQUKBgTtOtRn2rje3Eog159RSPfcX2pO54sBkYfHxnUwZwJ5NdQZqxGqUoPrQb8HI/l1NsfHAL6FVcse+6x0pT4IigGCFkevpqkBYE2IFMVYL7qsclmI2+apbmaqoDnacWAjOTKV2B+tsbGruvJspOTSHzJ+o5gnMZ62meCy2/isLt6RcxxoNDDImnZfmOWthYAAYRYFlADVWy5HktBqjIczsnJA6MyUCwYINRE0WhFErThZrIggKoRIIC7gnlF5/9AwcwX981kSbQnoFIL1VX57omM3DIUK5BhvXNLRj4UKtDJ4Yz8ygtukoIf6zPZfpGJ1qqU560DBxYoNLqt7zYQuP/++/VZvh33206e23vB1+d60MNF1brV86WTc2h3WYDA2NiY3Hzzze2usm65XkVgy1N3w6/YAwJ7fIm/E4CANRR7/etfr3QdVBFQ+fngBz+oKkB2kKX8uZ/7OYEGlB5/+Zd/qQo/8PObPajwBWA9NJB5odGATEXgne9855oqhN0mikG8TFq5Fre6ZDQ4U5HoJhDYDYnSbur8M3c4jgLcyBbu9NjJigDBIy7T6Uw//yZYQ0EjHfQTDLWbKeWcMaD62uSCPDK1pKpCV6fnJJy7LLcd3ScouJ9ZopnY8P2zDso9sfiOMXyiikC1gP2hHmPkIps/SuuhI+eXI1UUYjnUXybysWbL4RunG3o5LjK+ZBqtfOdynJUrpVgD7n2ZqvhRzUiFJl8zYVaWJSeO68l4NpLBvKdmWqgbYaxFlGyz51Qd1M03ASpahUg119rse+PvaIKmX4LrMeLVtAchQLIU/wQkQn1f5UlLcVZC15eC78hQ1lkXoNt7TdU4jSCnVhIIUCr1SGZqUH8i6ZOKZKKaUWuCjkWTMxUEqh8ZX3I+Mqjs09Msvgb+imKg7JheAYb1FqiUK7JYqcrFElr8sSzGOb2GI1lRV+hmXG+zTdMPsEJNSpqk2TzN1rUgUkUlQJIBXwbsDaXk/fEwuH8G5SBXFspVGXRrcmKsT+VszyANWjU6QZzHyx9/QF7/oju1ytM4mBeenWlwwGeBf7cCCTyrMGykF6wRJOz0557t7TYQsHz93VTw2SsgsBMu0T0g0I27/sbYZg8I7PF1/E4AAkwBvgFQcaDWQBuBn/+Lv/iLa2aHwIeA/u/+7u/W/B4aD5k7HlbNBr4CZDRQ9WEbd911l/zqr/6qvPa1r226/Cte8QptivrDP/zDjq4OQIAKBi+Gbo0eENh4ZjGN41pzDZRi0+ZoxutnWwRABPk26D916pSCRBSttjvY9uRsWb56YV7OXJmRLz7wsAwWfDmQj2U+zst0mJFa6MhozmR7oa5Aw8m6sYxlY5mwvYLq2Jv0DjQ5qCCK5OxsTRaqBNChuEFVBuMllR8l6M/moKaYpl6rtGQS02abZ5eM83DOi+Vkv6W8kFGONRt/diFUuUkC8xGnJJkQyglBulGsIUjXxl6MxpLG3kIupxnpVuBJg/OkAblUrsm5ckb3t8+vylDBl6zKjOb02NkGAOMi2fbQlUE/Uk1827xrKUdr6EQN83R+yfguwL8/gfQojbspRaOgHkgtSEAQHgmx6degkoD0KecFxQhwwbGrT0C1phQoDNHm3QHxMjlZjjMykPWUtkMTNjz/9LCNwFQBtDF5rdeyLsq1Jvi/UgbcGXM65EMPFqEDrb5SK4EjX5vGJwBZ0UhGonmpRo5kisOyGCCqanY+0efLL7/wcfLMW7fm68G2CYotMLBggeehPZ/GSkKabrRTIAEDSrbV2PO13c9pq/X3onGXOaZyDn3VGmZ26/zS24XOaUHdVvfXAwJbnbkbf70eENjja/ydAgT2eBrW7B4zMSTv/viP/7ijw5qenhZs7uGnd2vshkRpN3X+mRcCdfoDqArs9GgXCNDol8708zOBHy/XdKYffn+aOrZVaVWCJQbfjW7/KrEfjv5XLyzIVx+d1OrA/GJZqgSaEkqfE2gjZ83JqX/AQugrR5+M90TBSSoDZhZdGonDSKo1o9tvVXzI3qMGX/L6pOwV1NSLbR3pd6QPInpqGM8CstqJBI7jKO9+EslQXIWL0ZqMM6tCY8J3QB2T41iO9olSSwiejY9AymgsMR5jY1Q4PAUJvrgO7a4miMZ3AEUcMuK5bE7dhK+EfeL4WdlXNLSdZkOD+ciV4Qz0qTXGyRveZlYSlYUOF/F6WLs44MheP/6ixxkEslwqSaVS1f4O7p01vRqYtXm+1P28zEu/UmpC+jVcTwpZT6syVAQaB/Pne07Ss9HwV71vHJmqisxVzTWC6jORM5WedI/FfN2Rh+ZcVSBi3D7kSH1xWh4u5aXs9WkFgcrB95wckTe/7AkyVGwxqdv4gFJZ5DMOaAYcNAIFfmc9MgAG9CA09iR0AhIeC0CA5xsV9L0AAph1bsccrgcEtvFhusFX7QGBPb7APSCw/gLgaMwL7E/+5E86ujozMzOClnUPCGw8bd0EAgQbVIbSFQGCNChD6YZesnkEZ7aR1wb/mwUe7QKBdMCfDiKZGTLY6S8CTf59frYi912YV8+Bzzw8JRkJZdSvyYRXlqVaKNcqrpSDWJZjX4LIlYIXyWimLuOZmjgxQTQZf0OXoSFWHXpVGSdnFHRcV4N6ZEGJGlGVGctTWXBXGo+bqfmw3rnFSLPtrkRyUxMjMSoG+AugS0S2HGfftCNv+o4AGJTKJamWK0ZuNKH4pJcBBFBBsNn26TAvVScrOOkCYDYCAiOZSP0aDP9/81eMARCOZDDW6l9vWgZVBhlTBVeJC3KtWlFVJkAM82voVHkFjbaScK0UqUpUFIZqEhag6a/SrZEcytTUOA3FHmhYWRqXkUL1XHWDbjaoukxVXW04ZgnclqkCIO2qqkJJjwFuwUiAkvMHsBzwy0rnmqr6sugW9RgHc568+YU3y0vuOqqAIl2Z6YTittEnnYCV6i5fzYatJNgKQiNQSIOEdAXB/sycp4/1vvvu0+uwWxUBq+Czm427FgggjtHY29bRy6rDhXdCCrYHBDqc9MfQ4ps/pR9Dk7EXp9oDAutnHWMyyqAoGXUyAAIoV6RdjTtZv51ld8OroJs6/5wjqj4YDXWzIoC6heX37xSvn2NvBgTSQX9jtj8d+BPw26C/ldnZci2QL5+dky+fmZGvnL4q1Vqg5lhHizR6xnJ9uSaXF0OZrYnA/0ZJpt+pyf7MsmRheyf9Arls1jjQJlQcggZ17HVMY+glJCZNkUJIgO8vxNLXkAlP34+YSz26QPcCVCUC7fV3K42p55ahqrBULMf74Mwn+vUVPAYqGkgT+BPoF4sEz1Q6DFixTb02kKZqo9WEoC6z+CpEWW3CPZwpr1CMLNWI75OVjNRjV0azkVZK2hEobVYN0ObsWi3poTB9FFCdCDqhUOULhpYEyPKRXG0Y2oRbdrRZm+A840LdiTWLTzC0P2t6LVaN1AKJw0CpUnD/6UcAyNHoDL3N97MyH2VkPoB6ZHoPqAaN54n8TXUpClGEqstDs7hM8+9IJApkyKmK+BmpuAUpxb5WJA6PFOT3X/14OT626rrWCAQsULX3rz3FTkACQADFoKNHOzMiY1+WqtesJ6GxkmCBARVZfqYXrBEktPNs7XQZy9ffTSBAMoNKC4aXnVAfOz23xuV3Qgq2BwS2exVu3PV7QGCPr20PCKy/ADQoDw8Py1/8xV90dHVmZ2eF8jSKDt0au+FV0E2dfwsEMH/bSoCQnleCBTL7aYoPL0oCcxow0xQfmnt3Qk4Ufu7tt9+uUnobBf0ETDbw79ThmO0+fHVJPnzfpDxw7rpcm1+SYlyR0WheCl6gXPOK1y8zUV4qseGm55xInXeH/cSpVyk5qOkQcAZaLaCfleOi+dXxfFl2CrIc5yTjG+WfoZwj+/Jr3W3T8z1VQckIqaKoOb9dRJYqgZxZiDQrHtVrMhTOGy8DmpDpQ0i0+8mkE0SjVqRNsZuE7QTs5xYNdehwtixxWE+als35QpGZivpFvKyMZkIZRy7V8xX8ABL4uVkQS/YcBR8JazLhLCnNB7oPikT0NnAfZZIGarZFdWQjDwQMwCZLTuL4bBR8cHlGmQclp4GM6V9YGTHzjbwnlKjVJmylVdXqshg6MhdkJJCkH8EV2Z8PpQ8HOe3hMOvNlSM5F/RL6GRM3wLKR3lXIjcj01XT45HPeHL3sVH5xefeJLfsMyAgTVFbcV5uqEisKhlZRarVCsJGlYTtAIGNnp/2c99INwIIqBKU9lEANFelT9MVhZ0CCXvRuLuXQGC7UrA9INCtqOC7f7s9ILDH17AHBNZfAJqLCRxRFepk3EhAoFs6/9sBAmlev6X5EASlef38bCVcd6J0brP99ju0Iwsy0oEG+7VAYyuBP4AGR26+LLBZrEbyxemsXK2g+BJIuR7IRJ8nR4ux8rurociFZbLPGvooAEI15pah1WBeuf6JgZcNNMOgrsGuUnRQywmzEsSeZqNRIRrPRTKcdXRecQNmHgn4CHJRM2KD/X6kAantQ1CuPHSZMJLAzcq8N6hZ7WLWk5NDvroZtxqeS2Ns8/w9v7amXI8uUGcgEDYBth0EhmEUytmFWD0R+p2qAifOD0oMJBnABoo/gB7OiXVK9VguVzPalDvqlmWk4CUuyKZSwVwQ+PN3BhShVo7I/L0SilxcxvyMXolIAQCVk8llR8qRqZJAPaJBWJuo2bb1gUgqOVR9WBezsesVR+U/6dmgklKQiuRqixKF9ZXjYFZn4oJcjQZUuSl0PDWYG844Mhf5SufKZ1w5MtovTz05Ls88OSpPOjrU1mNtuyCBzDW9VlT+OqkktHVwTRZCbprPJFWIVj0JfEbUcbnBH8H+m892u8e6F0CAZwPZ+Ze85CU7kthod665liRuWtG82tlODwi0M0uPzWV6QGCPr3sPCKy/AK95zWs0EPirv/qrjq7O3Nyceh/QyNWtsRteBd00/GJesKuHerXRS4WXRqNJVzu8fl7OHD+mbp2qarRD8SHryMvYSinynUGwnG54TDc+NgIDsuVswwb+fAfksI2hoaGVLyoaZPs//ei0fPbRWZlaKMu1uSUpVWoymI3laFFkKBer+/AjCwADE6Tn3EjBwHjBNO/qUNqJkRDlZ1xyUbRhBEEk0+VAppAJDWOl7nhhTfqjZXHjugaivhpx+bIUZWWm7muwivJQwQlXpEaV604A7XuyVHc0KGZduOyHioa1FCQuu4AKdduFqhTE2lsAGKAZlqOyBr5peHC9EqsUKZ4FjQ29nMe1CvtwpD8TSb9vOPJcU5qPa7W6VilMxtj4MKDgE4orvhPLuF+TXIZMuqfSoPksEqGo+3hKR8r7rlYd1o3Eu2G+KnKlYjLlzOvBPtOMyzFfqxhVowPFWAYzRraU5Yzs69pB5eNaWWSpiqypqQp4QVmKUUlyvmhVpVgoiJ+lB6Qg35yNdXky/kiT9ktVt7sQ0IAdy0jelSPDBXnqkYLcfWhA9g33rwTBBL2dgtY0+Gr8OQ1mLaDFNR4aIGMn6EYbPVd59vK5o2LXbKQrCc36EjoFCXuh4MO8Qt3cbSCwWb9HO++7HhBoZ5Yem8v0gMAeX/ceEFh/AX7mZ35GX5Dvete7Oro6PKTvvfdepQa1m1XqaAcEO7tgWtZNnf9mQIAXMC/mRr1+lrV6/baplxf9RnPbLhDYSMUnHbRsRvGxx57OQNqmRzLSDM0uJ1Km/I6gn+0S6BP42+8bZSOhjnzhzJx87tEZmZxZUkCAOlB/hoATp2ETCEMD0T6EOFLZUWgomIitJuRRBTL0FiO7uaLer8HkVFlksWZEKwmei3FJcvVlCQKjq08Yez3uE3SIvDiWUWdJijnDY3czGaXmxOofkFEa0fUqbrx4IZjjMA2tOsOJ+VijO/La4DgdK8/V4hWJz7G8CaTTL5CrZRSMIilIXTJxTaVNadRVhSKfxmOjUETfRC3yhO1x/Qa8UHwxIIHlkViFcsOKzBWVAAAZ0q3QawoZwIIrOc/V7D5AbLZm/AMIvg8XAQ4ii3WRS8sGHOADgXZ/s+oH+5wvV+XqUiQLVWOSBugoZqBqOTJYyGhfglK4EsrZci2Wr8+IVg5oImYUfKoSVBxc2TdYkAMjfXL3waJ8z6Gc+FF1jQcA56o9D/l8UwrNZplx7gXuc5If9gtQzH0OrZL72n5fvc9Wn3ZbpRtt9Lzk2cvzohUQ2GhdzofqVmPDsv13M5BABfD06dPyrGc9S0UHtgqqOnkHWCCA6eVu7M8e207QvHpAoJMr/dhatgcE9vh694DA+guAVwEPrXe/+90dXR0CWbLd3QQCu+FV0E0gwAuXOSJ7TsaeOdtJXj/BCBmzxopAI8UnfWHTCj7KofdMA+hWXrTprCgBkj03AiS2y/kDBBhpbXVbQbDfWzUCYiL1lXOz8rnTs3JmakGm5pY0cCVDnnUjwXxrtoaJVywog1I5GMiKykuO5GhcXT1zsvVaIIhCIzmaKOLMlgKZJuvveloJyGc9OVh0ZbSfBmRP6Sqn5h0ph5EGzkWpSyWIlOfO58ZWGqDjVJ2MfnkOtCNHRvOOZH0CaJSKaCY2IIWfoQ+pUow68yZGXVwHDbCNu/BUxZhs3TwYi4N+fS0xRatUE68BR8b9qowUfcnQk5DNKwig8gDEoNJAVeICCkcx9Bwab6EWUaHgd6ZSgcIPpm+cDxUSztO6Eq9UWRxPyk5O6Ti+62qzNSBguGAC9kuqzuSqStCJfvVWSyoUhppF8/RyuSozNU8qTlZ7EvyML31ZXw4O+DKofQBmcOwKIsJYzi/H8u05V2k/tQjVIEerGszRxGBejo0Pya37B+Tlj5+QoyPphoRkW8k9mG7ETf+cDnoBBHxWAQz23kW5hoCUCgt/J+C3X5sB9e3SjTbqSQAIEJDfdtttHT23N1u4FUjgs828Kax1HJ2LZhKozN1WniXNjotnChXPl73sZV1LNjXbL71RSIduR+ChBwQ2u9Meu3/vAYE9vvY9ILD+AmBkRkD5nve8p6OrY4EAKhI79eBvPACoKd/4xje6alq2k/KeBL2NFB/VtXddGRkZWdPQuxOcfgsEnvnMZyrQaNXQm1bvsVnWji62UmpWKT6W6kNWkSC+keKTpilZioLNNqa/sz6D5RvBAQGZpXOU66E8MLkg90/Oy6mr83J2al6q9UAGsshTQkkRlRqtRyY7PZgxQS/a9aPZQNwQKUwTRAe1mnLsVXI0kRvNZPOyEJqsPjSiWhhrsE7WuR45slw3mXDS+0U/VllP20SLxKgXhyJRXZwokOVaJOjaAzjcKJQxd1mKvrNiMKYKR56nTbm5jDEOaxz8qlyrycOzsc77YLggfljWBlyOOZ/Ly2TQr/Sqo/0mA99qXC6JLNQJsg1nH3OvxqGSmjF0G+PKTLWErxoUnCCSmUqkSkbQmage+HEo+Vi5SQo2lt2CnlPWieVovqJgCWUgmpHVKMzLSC3TL2WV8zQgEXfffQVHQZ0ak7H/yPgzlOuRzFaMX8MCc6nRp6s0MIDUoeG8PPHYuNxxcFCedXJE9g02kXVq4wa3QS+BfpoGZ2Vp7SaochF0k4G3YIH7czP53Y0OYSsgIf2chRpEdQ0zyG5VZNPHb6U8STrwnGvWl2ArL+k5SoOFTulZewUEUEvDIXq7QMD0HbVv9NjGLfsdt4izGzffd9xZb++AekBge/O37bV7QGD9FL7uda/TTPV73/vejuaXgBdpTHwEdkKhptnOd8O0bKtAoBWvn5d1WsHn3LlzMj4+vi1zGjs3jRQfMvJcAzKUvHDTWTqbmdsKSLNUiDSvn0CAZz4BkQ38OU8Coq2+C5hDG1CkaQr8bIOKdKOjkynI+aVYrpZiBQOPXp6TahBoULlUi6UcilBFgD/uxqF4cV0D9rwTKqVoNOdKfzErg8Ws9Gd8CQngk0Hge71sGpLLQaIUExtgASCoBrjWirrxHu4TpSJBAXIa3HLZHNl8/AugvIQB/ghVycWmYZnm5SouvAnVR1V+cOp1DC/fmIzVtdIw6w5J7OdlJO/IkUFf6T6Gby/y8Dx0I0c9DDA0azasXCjLjeUjGWsRL9MbUFNPhrWvKBq0kQaFgqPHF0UynDMNwDgTL5YDuVyKpBoYgNAnVfEdYyKXk0CykKp8VJ8MUFAA5HoyXHCkP0u1hW0bAMCV4FrVIkeulETma6a7wQqj9vsix0dy8j23HJCb9g/KEw4NyuHhzgEAx8a9TJDJ/c13ALXtWbHZfu5zbTAvldZ9sTzb4XxaBb226byjh2qycDOQYP1B7HEj1kBzMgErI/0536iSsJXjYZ3NFHwsqGrlk9AMJKT7jJqBBM6Riu3LX/7yrR72ltYDCNx8882CctBWB+fbAwJbnb0be70eENjj69sDAusvwBve8AbBE+B973tfR1dnN4DAbpiWEUhvJu9pA+NmvH4C8HTgz8utMXOH/CYv7U7HZhQftkcfBYFzuqGX4yUT1Zhlt/9uBAdkytNBP+fJi4yXczroJzjqFuhLz42lZTSCA4IMzhMJzMmSJ/NhRqbmyzK1UJJ6raYZ7ErkS+T6Erg0x3qSzziSz/iavfbI6GdiybuGWkJDKunm+RrVBKoIJhTW4DTExArHXKNKNOTD2deIS7d1YgA6Es64KO2sFwRlfRR0tBk4EjX9QlWHJTlW49RbkXqtKvVArck0409jMgOJ05LbJ2W3oPz8k+wv8UkgQH5kwQCBE4OxNig3DsDC2UWj6sNxHm9iHsY60JagBaUH685UzRfHBEAhcz/kVCSsGWM0jn0myEjZQbs0o3Ks+WxWqVFch+WakSoNokhdoz2qMHFN3AhfBUMvgRqk3gQcQ+zLbOjLYuDpFDOojKCYdNtYVp54Yr8cnRiSxx8ckOOj7avdcB/bgN8G0QTVfE7T/P7NaD5r5geaVqXSEiSwLJ+/NEhIS3q2Uw1UmdRUTwLnwOAzaI97bGxshYKXPr7GnoSdAAmbAYGNnm3NPs9pwNAKJPD8e/jhh2W3ewTuuecerbTgCL/V0QMCW525G3+9HhDY42vcAwLrL8Ab3/hGuXLlivz93/99R1eHrBrZ9LSrbUcbaGPh3TAtawQClsqSpvjwMw92suzpoL+dwJgSfjtAYCvuvM2y/WxHg+Xl5TXle/5tG3ptpopzVdnJINCAIk3x4edOlYjauKRbXsRSkwiOuC+4JnPlQM4vuxqwXpkrycwSMpqhOH5G5SU9x5MaMpMCHYV+CFeCyGSZUeMh7C8FNBIb6gyRJ861eVe0ylCNDSggIAUkECBTdUClZzAbydE+AxJYVjnxDfG46uwvRaqKo9KvYVn6gkVxHJNNhlqSo4G1YLj9ttEULwSMxZBRvVjGfyCQiXheqUc6vIxckyHdxon+SBt6FSSoR4J5zdBMPUOPAWZnOB83MhRiw8OH7pSWCaXvgioANCGOA3+EYrgoUq9IJI5WL7LZvNT9osxGOTVUy3uxFDOmEoKCEtsAgIAvmBLo/wVPVFmI6ooqGtGgHAS6H5qPF0MqNObY2U/Ri+RYv8jjjozJsX0j8sQjI3Ln0VE9x40GAXo6gOY5xeBzm+b3d+vetp+/ZpUEjo1hVbcs/Q3AAHAAkOt9PTenn1+ub/qY+UxuBMRtJaFZRUHvdtO5rsP+3AwkNKvwdUvK04KEZlQjrp2tglpQ1diX0Jh42fIDJrXipz71KW3CtgpQW9lmDwhsZdYeG+v0gMAeX+ceEFh/Ad70pjfJ5OSkvP/97+/o6vCiomzbTSCwG14FAAG4vwT5NuNP0MbLujHo30rwcN999+nLnOYzO9qR7kwr+GyV15+uZNisqA2MOBejqBOtNPQSjDTKglrK0W5UAuz8bERNsqpDFrRw3a4t1eTRqWU5e31Jzl6+LueuTMvsckWgxkgIp72mTbNk0DG0QklnKc5KLaZB2JG858pILpZs0rmbqI4axZ/Y0FcIcuGxUznAj4C/DWViGcuhtmOafeGvq+59oukfBFUJa4EsOzmJfczMPOnLuHIMmo+fKAk5BmgQlCtdyFgh6OD3eBlQAdifj2TAp2egLuVqXc4uuxIFoYw7CxKhvBOh0m+y7KGXk5moT43FhvOOTBRQAnJNE7FRVFU/ZOX8x44EcSzlWl2ulyOZryKrGmkmH+M2AFMui1KSUSHiPkC5B+qOPda8twqY1MeB83FE+jyddK0Q0BwN3EJNiArGsnoHoNzkSAVjYL5QA3JjpTud3DcgIwVfDuQDGXHLeo6MtPKPpZNYzjr3OME2n910tp97Zjfv31YPUoJDC9JtdYIA2AJ0G6ADEHkmcY/bwNeChY4e0qmFG0FCGiy0AxIAKLst5YlYBGILz3jGM5r2JNhejlb0rK2ChP/+7/9Wx+YeENj8buv1CGw+R41L9IBA53O2o2v0gMD66XzLW96isnAf+MAHOpprCwSe97zn6Yu3G2OngQAvYgLhNMWHF7OVt0wH/jvlyAkQ4IWO8Y8FAOm5Sqv4bNWd126PgKiR4sPLknNJZ/sbKxnpLGa6kpCuIjRm5AhQ+AJQbLVHYLPjTlOTOP7NZAurQSjnpstyZrokj1yalQvXZuXqXFlmq5EqzeScUGKkQaNIrtVQNYq08bXo1BLakCN9fix9WU9det1MViLHV3OxOmAgIAB2ZK5GcGtoPL5EMuRWxY9qEoZw+w0tC7BhvkN/8WUpdAQZTKJnZDeh2pAlX436k5/VZIseBb4beg79C1QkACsM/j1dNUBiPIdMJ2pIxmgMmtF0NTEGiyLpi0tJwG5cljENAyDYQJAKCopI5cjHfEGrJgcbJGcAACAASURBVEiHDhc8KeInkPD0aSimurColB8oRyZ4Rz0I+hSnQv2B88JcDA8B16Xy4Uo9cuXRuVCWQyoysZ739aqjYMJWUQq+K4+byMsdR0blwOig3LqvTx63v19Vl/Sc63XNltM3xD3OvWkVqex9xL1I8Md9ks4c79RneavPuFb0JI7RZvx59rSqJtjztOfXaBDG52Q7QKcVSLB9ULaZGvCCb4x9Ttn5aKQibXWeGtfjWqOOBDWocdhqZjP6IOCqGUho7EloNWcAgTvuuEMpo1sdvYrAVmfuxl+vBwT2+Br3gMD6C/DWt75V3Wk/+MEPdnR12tWw72ijDQtvx7QsnQ23NB9AAL8n22a1+i9evKiGX1vh8Dc7t0aKz4MPPqglf174aZ4wWT9eRFvN9qdf0jb4tyZkab1+fmZfWx0EYM1oRlx/2zCZ7kVIB2DNXrTMj5VktMfNtli2Mdu/neOeWa4pIPj2ZVSG5uT01QW5hvwP/G1oP4GhAU3kaXZFLjPSQEybdaFKhTT41iQvdSnmLe3GBKWLVZHJWk4WQl+rDGS7TTOypzr4fhK8UkFQt+Ak+44CzmzVtr+axmMC52RxIdhWtn5KSQiaDesx6DMg005VQvn7ye8SNtAKcIBiA2QAOLAPdVnGZCysaxXB0C1iqYsvNfEVnAAQ6HcYpMqRh++PM7HxEtC23dj4BFyrmuZe5pCGaf6GchPnD/UHtSZ8CGj8RckJf4GlwJG5aqwApVw3mX++qEr05Vy580C/POXEuIwNFOTEWFFOjheV7tSK5pPW7ednxkbyoASu6eC50SV7u0C28bNF4J6mJ5F4YFh6EgpinVDvCGpbnZ+tJthKSbO+hHYFA9gWn0kSMLZiwXHbvgR6Ejj2RgDQ+O926UabPZOoCJBIwVCsk9EMJKR7EixIYM6aSaBS6X7CE54g+/fv72S3a5btAYEtT90Nv2IPCOzxJe4BgfUX4Dd/8zeFYPVDH/pQR1enlYZ9RxvZZGFrWraZe7FVrEhn+tvl9ZNxQtWHjH2nox2KD0EvnHbbzMsLifWsrr7NrNvvzbJ7nB/rNar4WFCTzvZ30vTY6fmml+ccCNQaKwgcp81g8qK19I00F5h1Oc70cQPOdjog43ihuFycq8jZ6yX5+uSMfHNyViZnSzJfjZSOQwUA3Xs46SjWQFkxSfBYKtWagjg3rIkfVaQQ11V+k8w4sfp0VJR5p19C11dQgVwpTsNUFPAzGIBWoxQgoyDEhvElwAyM/eBtwFyQQcf7QKk2iQuvxQKAidOLxkV5NBdpsL0coErk6vI39UfafMu4WjZSp/QXjLgl8eslqVWqCm5wEM7mc5LJ5aXiFqUkWfUPUDfiIJBsXJcBKYkT1pTapPc2zCo3I3WvoMZq1Tij9y0N2BwvMq3DGLzhrea5Kru6WI00818OE+qRODJTifXYmF8OtS/rSH8uI3ceGpKnnRiVm8aLcnysoOZo6QA6TfNJZ87bDWxtv09jEM09y7ZtU30rkNBOpZNt8NlOHzfbt7K6BM4ce7foSa2UjTbKiluwwDzyzLSBP89MfpfuS+DnVpnzjehGjZ/lxp6EdpSNEEL42te+1jEQ2Oi5ZkFCM3UjrpsFCVx7AFC6imDvk82qL+yDz09PNWg7b5gbd90eENjja9sDAusvwNve9jZ92P7rv/5rR1fHAoHnPOc528o4b7TTVu7FliaQDvwJPi2v32b7efluxuvvpJmXY00H/+ljb5fiYwOHzQJoe9wEcQQtGszlcus0+zd7KXV0Ube5sK1SAHwILggsuFa26sHfGQQbFvjYF63NzHXzfJargZydLsv9k3Nyz7euyunry1ILI3UmxghryKvLkFQkCkpSqUVSc3Oa3cZzAI481JpixpV+P5aCG4oX1uV6JZLLpViW66jvhFKIq9ozgKmYg7ykuiE7MpR3ZSCPSRnNro76ElyrGFMvoAVVgQMF08SslQFKCckbAylSXHXR6UetiHUvl10FACcLNVXxubwUasBNIDPgVGQsJ0kjck5yuYJErqdVBKhNtikZDwOC+dGcaSZmv5h2IcXKF86/lXqovgh4NFA1yUVVGXOWpc+tSyFr+hGqTk5qTlbVmrIZX1zX00rA9XKs9B/OkYZsKicHhvJy+/4BeebJYTk+4EgxKsniwryCXO4PCxBtMLodedqNbud2m3obM8YE0fY+twE0zx4+mzbo59i7BWzb/Yg2C3j5PPLcAdymewR4btp5R9iAn7dLp9oJkAAQeOCBB+TFL35xu6e97eW4lqgGHT161PTDpORjG6svrUBCDwhs+zLc0BvoAYE9vrw9ILD+Arz97W9X9Z8Pf/jDHV0dgtPPf/7z8uxnP1tfGt0Y1rTsyU9+8gq33zpcEkymA36C/q28vFoBgU5UfLbjzst+OCdbkuc7L2qVV/QNlzudpWoMnG0zb7tZ0p26ThbQpKsUnAfDNjrajL8N5uw6jd4Bab63pTg0AoXtmDc1njMv+9OXp+Vj37wqnzs9p83GBLyqDuQZGdGRvCsHizgNQ8WJpRIYio8VXtFAJxZVzEEqtBSwHp2/geQdjMVw68Wld9WxF+OxohvIQMZQYlD/KUlBG5d9HJ4dR9DLh9Jjg3I17KqLXKnQ2B3LRLYmS5VQZqqxREFdRmVJapKRslfUIBzPgWODGa1EQPWhsXmmCvAwXgC2IZlGZwAALsFUGBbVh8GYqaE8xH/4B8zj+eYaEHKsz9CTluqRzJVDXSftRFyqRbIoeakIvRWecQjGaMz3ZKw/K0888P+3dybQllTl2a7uJg0OvyNGQRFRiBFlkEmQqEGZNEQShwgSpyABhUQZVATUhME4ALKYIQ6EqGhUkEEQxBATiSSILBATTZgnUdAYBJm6m389+/Z7893dde6pfc6+w7nnrbXu6u7btetUPbtO1fd++xse07zk6YtT3sKyB+5LgjBW8ykJl6l1H7cdR/0tuE8VxpYb0Hw/1Qgv3uelTbNm6jqYZ/VLkGDhucL3CKHCs5O/twmitm7L0egd9rvYTyRwnqyw/OxnP0sOhdi0sstKwrBML7300maTTTZpnva0p005lJLSoziQQyeKBO4BBBUJx24oNuxsLLzxFgJzPKcWAqtOwGGHHdZcfvnlzXnnnVc0OzysGVdTCCgERp5+XgJqa5/X6+ffNYzfmMzL5+unzduvJLlB4/p7Gc8K8Ykx8tGjGEuC5isJiATOJ+YfRCO6S3hDl4mPnYUVP5xKYi5dOlmhRbkJg3j1OX7bKolCqbSK0FbVqF9JRY6rqklKNJURuvrjntDc8pvVmmt//khzw933Nz/91W+ahx5Znjr+ErFPyM/jCftZY/FE6UuqLGEs465fGcoD/988gvd74veEDxFnT9w85TFpUJZK9T+6Iom6ZcvoOvxIs9qjD6UOxITT3Ns8plneEGOzOMXrk1DL6sBqix9tli9b0dz90KJm2fIVzdJFy5LgeGTJ6s1qi5Y0j199SfObFUTbT8TnE7KTOhOv4FzJUZg4H3IFqO6z5mMmEo8RL/c9wvktWmn4T1RVIiBo2fKJKkCMT6Ig1fOfSBtOqwkTTZYnEqhTDgDigJKjqoCEdlicPoc8go2evKzZ6ClN86TVJ1aDYlUc7vPYRbrLvTiT+8gIVagP4lbFBGRA851qMwr1XWyLPecaB3FUdL1WnhE8NzlvGf7ql6CVCv7sdw4Ks+yVk8D/5zkXw3ZbVmgV561nvio/YYzHpF2tvE4I2gmTSu+BWiLhW9/6VrPpppuuIgSmmwuFaPGsUWjY+uuvbyHQ9QYeo/0sBOZ4si0EVp2AD3/4ww11k7/xjW8UzY6EwDbbbJPiwEu3LnH9GJmUNqWtfb8Qn66fr7rU8vj/8Ic/TMYZeQIypuXVG7aKj5Lv5DXnRS3jOcbHIwAG8RzFuHu9gGRM83Jlk9cyriT0W/rnuDKede54F7UKE5M1h/UO9ps3xXm3JSxzD7JxDhI/SjDGUNM1ML+xApFCN6KQxMAnbOj6n9/XXHP7vc3N99zf/PzXDzT3P7iseYh6+jRpo/IQcf+LWQlY1Dx2NeLzFzfLMfBXTMT/02eAMp1Yy0tSMjANzBZRkCeJAUQEybx05iUMJ20IiuUrUndfEmwRDIuos9882ixdtKJZY9EjqZLQw0tWb5YspgRp0zzcLG0eehRxMlESFAP+MUsWNw+toInXxGE5PKX5+X9q+S9NJTxXNI9jtYBKQ+RQLCd0ZyJfghcU53/fw/9XwxRjnrwE0qRZOUA8kPxLwjIrJen0Fy1OScyp+urK5mvP+X8rmhc/Y41m83Wf1DztqU9Jq0QS+nl8dt5QKg/Hmal7TOcjox8jlO8N30XukRjf38/poFCcWMUmGtM8b2omLXNP54m9fAae/mj413puMs/6Lvbrttwv54LxEiwwZ3WZ8+S89ZPnOsVQpnxFQc8QiYT4TBlEJCAEWIXmnTDI5tCgQaiNzxgLgTmeawuBVSfg8MMPby655JLmoosuKpodDK3vfve7zdZbb50M6H5br7h+XrqxbGeM66/RvVgGf6/SnbyIiEXVyw2jRC/stjj2Xt5nhfhg7MdqOPI8R8N/pgybOAcxvCGKBP4ejRKJAsaqOgncc+O5S/nOfvdA7f/nnqLEID9wx4hTHoI+Cw8oRij3VVxNmE54IQru/vVDzY/vuq+57s57mxvueaC59zcPNfc+8HBz30M0+1q+smPuhGd86eKJyjkYwxjeVPrBW54alS1a0TxuZTOt1ZZMGN7Uz8feJz+B0KHFjy5vFj26rCF0iO7HiyjvuXiiZj8rEpQo5f9+s4za/o+k/IX7ly9JlXeo3sMKAvuhNgjJWY65v2hxsxrHwoJndYC3z8oGX5zzE5ZOlPxkFQFjn9Cmex9hFYC8BfoLTBw79U5I57qy1CdG/+IJYcBx+HPxohXJ2//CNVdvdnz+k5sNn/20ZNB1WY3KxWxuZPL/Sqxvi8nu8hm6F/QdjYY/9xAiMSbI1k64LzGg2xpmaQUievvjSkXMTRjEoVDje6niAb0SsycE44QJBA/Ok+8l547Xn+/noMUCBhEJUTTkKwm8DzfffPOGKkmDbBYCg1AbnzEWAnM81xYCq07AkUce2Vx44YXNxRdfXDQ7vED/5V/+pVUIqERkTOblBYFRLKNMxj8v4V4vgNLuxV2q+HAOCu3JQ3y0SiHDOcayy/usGHblRWAw49FSF0wl3SnMh+vt500sAj/kzhjKJPOqHnusLqJDK3kw1mPnumZDwEx3edxzCn+Q2GoTLDBX6EYebpSvIuShRm2hE/c++Ehz4933N7f9z4PNHb96oLntfx5o7v71w0kY0NzrwUeWNQ8vwye/IhnGNC1jBeGhZU2T0qNXJgSTlEwPgJQI3Ez0IEBELF5CR2DuSyrxM3bCAMfQ58+UULzyT7z9HHMiin9ilSIF66TcYj5fP/T8nahMREWfVLGIsyPcZxG9Av7PyEe0IGD0gkIArNQNacUjVSWS0U9TryUrmqc+ZnHz3Kes0Wy6zhOal6z/282zfvup1e/zaFzmnnZ16Y219XMjmvG9vObR8J+pHKcuX9VeScvKSYjH4HnF85JnC0YqBnSJEOpyPsPuwzMUkaIwH8SLxBbfNZ2vvp+9ui3HVYVhrrGrSOC61e+B4hkIAeL8Bwk3shAY9i5a2OMtBOZ4fi0EVp2Aj370o825557bkCBVskkIbLXVVulhGY1+1esfNq6fl2Gv7sV5iE984Mv7JK/PMPX6ORbXyouNutYYFopbj7z4DK4XIzSWBJ1O6JTwHnRfXrR5k7Fe5Tu1ipCHGcWSp72q/dQWO3l4EgYF5xUTTLXKUtJvQKsebaFG+UpJLhLkbcXIp08BZUlv/eUDzZ3/+2Dzvw880vzi1w82v7jvgeZX95PQi+f+4dSvgLKZqpufSnI2i5OBnkJpUlhNirpf2fV3RQoDSiVKV4b3pF4EK4XBRDDOxP7pPo8/wZhPe60UIBoxcUSNm8hnmIj7nzgS4UGED7GygXag0/ISugsvebR5xuNXa1601uOaLddbs3nBOmume3xQD+6g93Icl694KbFXK15xX+Uk4H0m3GOuK/rk1697PXr8FS6jpF6eL9y7KkOsEr0Ki+M5E4XQbCUtKzdBhj/PGs5T3n6tVvT6jqrbclu4kUR7WyM15ZUMswLCcz2GKGmVhefKhhtuuIrjI1aG0ztGcxm/CxYCNb7hC/cYFgJzPLcWAqtOwMc//vHmK1/5SkM3xS4bD2d5ZW+77ba0bK/SljHEhxfYMA9pzkVCgO7FfI4esNMZ/TyQh63iExteca0yQLmmGOKDJ1EJwHn4Df8eNMyoyzy07aOyhkrmVQUiPGp5TkKJly1eY17xRwaJDBEZIxIMfE4Xg7GXtx/GeG91/v26Cw/KLq4G5dcYvc/59WGQIE7u+sX/NLfc9T/NHb+4t/nZr+5vHiT2Z7WlzYOPrtb8Zvni5hcPrGjufXBF85tHljcPLluRqhDRZVcGfzLQJxz7K031ifAcGfppUSCtCjzaLFtpwCs8R4b+1GtfmRwQ3jr8FQFCAVO6GyNEWFGg8hGdgKk4RIIySdFPXmNJs+5T1mh+95lPaZ6z9m/PWB38YeaL71is34+RrBLCzAvPn9zj3harHw3omjH1va4thigpsVde8xjfP50ToV//AL5zsQJX9LD3Sxiebk7kNdd5w5/ric3SuoaF9Zv7KPZyoRC7LbeFU7X1Y8kNf57tfHdjbgLXwe9KVhIkCmIiM04jVm04t4W8LerycF/IAAa4NguBAaDVHGIhsCrNo48+uvniF7+YaifnmyrF8MBUd16EAC9YDDJeBhtssEHqzFvile03pwrx4UX//e9/v6H6Ap+nh3v0zMRQn37HbfPEYeTFuH7+zufz4swbXpV4vbuGGcXVgxLjWcZ5SfnOUj5d9lfn4TwEB6OMc8Qwy0ue8m/+T9xzb3+ejNzlPGZyn7hSgkjkvPkTYyQaDPJccv54niWGSap9ZBnVhlY09z6wrLn9Vw82d/7qgebWX/4m5SIQekRo0cPLljePriDAiE6+VLCaSOJdfcmi5jFLFjWr/9ai5r6HVjS/JKN3UdP89uMQWRNdkkk8fmQ5qwmLU5hPWoEgT2AJYUCLm8evsVrz5Mf+VvPY1RY1T/6tZc3/ax5qHrP8181vPbqseewaS9O9zv3HfOXCLzaIi0aX/j6MYdl13vKqONz3ufGs7t29bJM8Vj+GGym5XvdrrMLVtZFUr2vJjWf1TJDXXGFKNUKUlLQsMZsb0BJCqvSTG9Hcw5Ef74CYU8G5s+k7KuEyrNOn632g/bp0W+adJIcH90pqDtjD8C/5/Fwk8G9CLcmZ08+PfvSjVJJ71113LTn0yO1rIVA+ZRYC5cyqjrAQWBXnscce25x55pkNlRLuvPPOVL1BYT7TxfXzQkE8bLnllsngGXSbLq6fF+iPf/zj5JHPPc8xBCfGnk53HrEEpgxoNSJT6UsZ/yUe89JrV6nMthCcNuNZ8fl5FaKa5TtLr6Hf/rHkKSJSxn40njE4VNUIY4iYXOZ1Jtn3O+/8/+NKhVZauC8lFGU8c72xGk6vVQSJIow+jPVf3PdIWhlYmUiQBAG1/x94hACipnnc6ktStaG0evAoxv6jzY9/9utU//8Fz3h86jeQQnpWW9wsX0450OXNY5fSyGxJ06xY3tx336+be//33tS06/77ft2ssXjFZJ8HGaD9wtdiacS84k/uYY8rJl2/l21zontdoRs8k7h+njUxvr+WAyLOX25ERyGUV8RRsn10EsjzHM+da8TbHBN7Z/s+l3OiTSRIuKu8K99NnlNcu8Lx+H5y/jwjBykRXPrdK91fIZwY5eRBcZ16xnAsrkfFBGLJU4UZtc1l2znAkeNj9JMnx5/XXXddujdpsEnfA36oPDTbc1zKbNj9LQTKCVoIlDOrOsJCYAInL73rr78+NRI7/fTTm5tvvrn56U9/2myxxRbNEUccMaVRV69kV45B2dESIaC4/i4hPnnpzuh5jga0PHmxhKSMEa6Vl4E8z4xTTfBYs7+fIVT1JpzmYDKe8Taz2sJ5c/5qVsNQuKgSjgwi5mi+vJiZW5UHzEuPijnzgwcxX00YpuRpjTnSuceeAyqbWtr4qq1qkwwwlcvMcxD070GMB3m7Y6iMzl3eW4VYDXL8XgYRgic3LPmeTZfMy/znMezsH8NNOHfu6fzcZ9vzzHXnYThxJUGGpRLp+Tf78z3l3BV2Ml+NZ/VNwLCV8cy5a2WA65EQiqsl+UrCXDx/OC/lJvAn90ws/Qr7GEoYV0vachLyMrYwOP/885vf+Z3faZ797GenUtb0zsH4j4b/K17ximT4b7bZZgve8M+fAxYC5W8eC4FyZlVHzBchgPf9c5/7XEqEvfHGG5t99923OfHEEztdK0bKAQcc0JxzzjnphbPTTjs1J5xwQrPWWmtNGU/X3wMPPLChAgKhO+9+97ub97///c2tt96amqVgMDzzmc9McYwYoIceemhDTwC8Pl02CQHEA0ZS2xa9/RIB2i+G9/Sq4tPlPGRwcT28yHgZYFTEz+MFpjryejnMF+Ofa+SFlif0xmo4Kn3JvkoWlBiK1YwGDTPqwrnXPqpnHo1nfodYiSE+XWL782TlGKufJ/LmsfqDGCJ8XqxCpAon6r4qw7nLuXdl2OaVbev90CYSovEc48xl/HMfqcGbRGLNc+96jeyXx3fH0LHYKRujU55aGXE8g9S8qyQcr+T8Bt03Cl0ZoTxvUgflpUuTAOB69L1U6dPccJYYHvQ8Bh0nwdXWvEuiJXf+xITevHpTTFqOqyW63ppJy70M/xjjz/0+SNg68xorjfEu+c///M+GPjt0OJYzhutCFODtf93rXte8/vWvH3QqFsQ4C4HyabQQKGdWdcR8EQIY6N/85jebl7zkJcmg32OPPToLgZ133rkh/vCYY45JxhYGPC8bYunlLcPbz4Nqhx12SCLj2muvbQ4++ODmqKOOavbff//k5cCTjxA4+eSTm+OPP7658sori1jz4CTBmDJrGHzThfhwYBn+8vTnpTtLPlwxtzG2X7kLMamUF7MaS8VVhLYkXoUaKfmz5HxK9oVTTEbGiMO4l/cz5iV0SVwcJMxIHtnSF2YXb7+M/1ohG7AtybfI8xFiyVNVUIpdYzm+wk107jVitUvuCe0rgysvXxtLvMqbz7zDBUMLQ0jG82zE65deWxRcGKCqLMP9Lc+zKuJwbJ5juVEpw3IQwVd6vnF/GCu0TSsWPFPgHMN88ipKfM+533LDOZYFVU5JW7JrDQGkXI/oNe/SvKuEV4zVz69Vgi8Pw+maW8IzPZ47x+fekOGvUMLS51h+fXDimaBQHzz+NJrknfDSl760efnLX9684AUvSPckq+f//d//nX5e+MIXNlTdG+fNQqB89i0EyplVHTFfhIC8m1zcc57znGaXXXbpJAS+973vpQcTNf933HHHxOYnP/lJekh96Utfav7kT/4k/W7vvfdO+/zXf/3XZEfeQw45pDnllFOau+66a0pi72mnndaQMPyDH/ygM2t52wkNetGLXpS8d3HLk3ll/Hf+gLAjD2leANFjjiHNZ6iKj0JOeFD3eynkRmUUCLzgVau7zbs+SFhCSfnOfudewi/G6OcVjXpVM+LFB0MZWzW9/SXnXrKvhFBe6Yd7hE1VpJh3rptr435RvDN/n23jst/1yYCLYT6qXIUBqvuQ+zXWYc/j89tCcPp9do3/1wpXW4x8jO/PhW5uPMdVhLxcZt5crNYKXy/RAstY0WcYsRhXvmKICtebG895cvZ0vTz0rIw1/DGmJVp0/l2ek8PeB21hOFEoMNd8N/N+AbDRMxM2CN/o8a9R+lWGv8J8MPxxlsnwV6gPTq4uzphhWY3yeAuB8tmzEChnVnXEfBEC8aJKhADLlIQBsWwZjUZiEzfeeOPmjDPOSIdm6ZJly+OOO27yo3jQbbLJJsmLTzyjtk9/+tPNxz72sSQEehmivUJ8yDFQOIJezPKsY6R3LR0ZefDiktEvjz8vBzXSiR7/2gacYtYxIqPxLGMrz0PgJa3kVtjNVPnOml+CXt51VcHhs8RVMbNcp5J54T+MEVTzWuKxovGp+4f7lnON8dusvkRjS4IvriTM9su/V5hPDFGCf1u+jpJco9EsUcR1RmGbr5bUuE7lJsT4fs6Feyga/cPGyPfq/8C1StjGWvrRgJ7uOvOqODEpOXr8a7Dqd+93rfgTjWecLDy3uK9VSYn/z8uQ9vvs2fx/PYMQimpsyDNW+RYS8MxnXKnVnJbmuPB5sInJvbwP4YRjTYY/Ya6zMc+zyXqmP8tCoJywhUA5s6ojRl0I4PEnxv+KK66YwoXQohtuuCH9npcwD0+8//vss8/kflrOJhQo/v6zn/1sShC+5pprktFQEuLDwfOYdQxKXs6qfhM963qoR8NMxr7+5IWAxzMm82JEzOUDmhdU7lXXdcJAJUxjRYpoOM+GB670ixK9/TKcVYVIXmfuBe6bXqVANbe1vLFdr0GeT1Xx4U/uuRheNV1ibGnJ09rxzrGqDOeukrV8P/KOt4OuEsmozMOMlMir72dbLsJ04XGMUzK7ViwQ71G0YITW8Nx2uR+65FzEErY8R6IYJuwnJvaKf20nQ5drmW4fheVhOPPDHMCd32tTPkI0noctfTrsecfxyk/AkYVw5LnCfESPP88SritfKeHfbV2Idf/Cgb/z3pDhj8f/n//5n5MAwPDn2Bj+OMIw/gmPncv3Sk22c3UsC4Fy8hYC5cyqjhh1IUDMPw978gvitt9++zWXXHJJCgW64447mmc961nNWWed1ey2225T9uMFQYgQP9pOPfXUJAR4UObboCE+MSxF3nX9yUNax1WIkRJ5CddQPfNBDaCqN0w4WC/DWUaGwjV4ifGCk5eyLcRopvMQcgYyItqq4cT4U3pLKQAAIABJREFU+F7e/hphRsPMi8q+yvBUjDn3jQx+/oT1MLHVeQnQPMFVoQx5ovJ0ZTJ7hfnMZUWc/DpjWFVcRVBZRZWS5L5GtHBva5VInuf5mpsQO4Izn9HrzD2pVT6FxWlupwvBGeZeLhmrXKjYcZi54zsr45n7nnspOmSiEd1W+jSulsykiOecYox/NPwVmlfiJIlJy3kZ24suuiitlsMF454EX/4kbBbDn3r+iICauUslc7lQ97UQKJ9ZC4FyZlVHzJQQwDCh/Ga/7bnPfe4qHoiS0KCZEAIkE7NKwIvw+c9/fvr53d/93fQA5c9111130uPd7/ri//eqhMODmJcPhnP0WvYynDmvmpUnulxDr7wEjEzlJcgAbTMYFC6RryLwb7zB0aDMhUINT2Qv0aJKPkqKHbaiTK8wo5gQyWeWVDMSu+jtx2ursq/y2HINs/VS55yUdB6N5rxMZkxoVeUYzp2xXcJ8utybM7mP7vuf//znyYCL4WL6XL4DConLcxKGEWE1rkurFdFwjqsVMp4571gSNAo+jFWMbXnX21ZMBskV6nJ9+t7KeFbzLvUfGKR5V9t1yoiOZWzbKv7kzcWmu4YYIiaPPx587vvo8S8x/Ht9Hp+FIFWMPx5/KvxQOY93rO5DOJLUy/3AO+5d73pXl2nwPgUELAQKYK3c1UKgnFnVETMlBIiz32uvvfqeKw8rjOu4lQgBQoNuu+22hqThuLWFBuHpJ2lYW6/QIF4KVEhAyHB+//Ef/5GaePGDIcBLkzrKnHf84bx5WWKg8SLFA8O/FWaiknp5o6424y03KGOMfpvhHJe+axjO/cp3xryEYY2dtipG0aDsZTj3WsLu5+2PJTxnM7a/azUjJSdjfGG0yXBWGUydP8bQsOz7fkEH2IH7HMMZ44dzV/iCDqUYfURXno9Q494d4JQnh8TVCsX48zxQGU+JLthzHRjJbbkIKq3YFqPPNZcYlCXXwz2j8q86f+67PEa+ZLUiivjYHyGv9pOLIK2elNyjChGT4S/BOxv9B2JIVd4HQqGAefWmKIq0CpFXJIqJyQiAGisOnCtsouFPWWzeJarqg9d/q622WuVeYyyhVKzcwtVbXQIWAuU8LQTKmVUdMVNCYJiTLBECJAvTb4AHWwydobrBRhttNCVZmPrGn/rUpyZPDWOfhOI8Wbjt3Hl48pJFdFCqFHGASJBQ4OXLgxXjhh/CkXgQU5p0zTXXnIxzzkvqDcIJwzlP3o2eyphQFj3Pvbx2tct3DnJNbWNiMmRcScjzLbheXsKqrgELDIra3v5a15UfByPj7rvv7ms4I/YUrpFXM5qpc+t3XImuGKKkxNi88RVzhLDJ57JttWS6kqf9zqnk/3slJXPvxNyE0vj+WH89NyphJoMyF0K6l7tegzzm8vjjdIihMrqGmVopyqv9RFHU5l2PYoHnJZx07lpxUVK1vObzQfAqFDCG3+g+js0NmTetnMD+aU97WrqPhhW4MvzphUNFH35k+G+99daTyb0Y/vMhhKvr/bsQ97MQKJ9VC4FyZlVHjLoQUPlQGpJtv/32iQ15AXjq8/Kh7ENpUVVYOOyww5qTTjppMnZyELCICZKseIlh8LMU+/SnPz29jBEMrArweRtssMFkiJHCjNZff/2qnsG807DEgjyy8qznFWPwLHG+vKRjzf5S42cQfqVjFKohw7lXqIYqKkUhNNvhVL0EJeccw3wQAhiGcaVCFWWi4RxDcOaqaVr0OMv4j6IrdnYu8QS3lTyVUcmcY0jFuYye2NLPUV6I5gCDNU9K5l6ZiS0alNFoVogcn6ka83neBasI0WPO+ccQsVjRZ6ZCdboyyUPHdO+quWE8jlaIuOdp5shztLQKTtfzGmY/iV55/Fnx0qoy9w/PV1Us0twqv0TP3jzcqJfRrpAuDH8l91599dXpfYHhj5NJHn8b/sPMav2xFgLlTC0EyplVHTFfhMAtt9wy2cCLjr949Pfcc890rW94wxsmr5kX3Nve9rbmM5/5zOTvaCiGhz42FOOBnDcUo3sw+3J8DHi6CtNQ7KCDDhqYKS84NUKjGVnceJgjBDg3rSIozIjQCYyb5z3veasIBMKOSpbupzt5jBwMhnvuuSf92ZYcCFNeZDFUYybDF0pgx6TYWMlH8eUSLgrVUMOiPBdhNvIQ2q6Lz9V5R8MTgyBP6i1JBu8aZpTnIpSGJchjK+NZ1XyUUC3Df6ZCrBSq01bpJw+/aTOcEUwSLPI4K7dChjP30HwwPCXk4woChj5Csc1wVu8HuqTPh/PP73/NXazhr+RY7h/uGZ6BsQFXTOSNCbz6e63nYpdnkJwOMdSH81PDOq1Y9BKNMd+rreIP/897imfZJz/5yVTiGi68M3BYUaxChr/KedJw04Z/l9mbu30sBMrZWwiUM6s6Yr4IAer9v+Md72i9Nh6Y2niJIwTUH4DfY6QccMABzdlnn51eKjQWo1rC2muvPeV4eFfYjyVVlmxJCv7ABz7Qt+FWVeAru8Li0UYUKMRIAuHOO+9MLwfCo1g5iInK/H260CK9eGOjMQwJNnk8ZTjz8or11mVolZQ6nQkuvDCj4axGaSqdKuO5xPDUCzkPp5ougVc5FyUG1nS5CeKu85+pEn3DVDPivoN/bNqlEqRRtHAtc+1x5t6L4Tfx/m3LSUB4RY/zfDj/NsOZ64iJvep6W2I4x3Cj2TQac8OZ64jNu7iHMJ6nS45VIq886lEUqemkvOp5TkLJd7Xt2dXL8Fd+hQz/kmdPr2ck10I4K++i6667rvn617+eVpV5LyC22bhfKVBBQYzDDz+89uPWx5shAhYC5WAtBMqZVR0xX4RA1Ysa0YPxIuJl0CYQ6JXAhteIlwOiALHAi/Omm25KOQO77757+jcv/xjiU9opNjcmowGt6iEyNmQw8+9Sb7O8/bGEp85fhqcSq0vCP0qmv82zjhGi5EAM9rYKPzDOw2TUvEi5CbqGYSsRlVxPr33z5HMMLOZV+RRxnMJwYozzTPEf5toU3x8bdylMKYZqqO8D86pQjTwHQUblsMZkyfXE/ARdA+cvj7NWW0oM57hyopCqvMpPrORUcr5twgVHQ4zx5/y12tXPY17y2UpYzvMt8ipVbSKhV0igwm+ix1/nH6v61DD8JTLoa0OoDzH+NKxEkOLlx+O/3Xbbpb+z3XjjjSnElR/mi3LY3kaDgIVA+TxZCJQzqzrCQqAqzhk5mBLFCC867bTT0gtExj9GGyFJ5CW8+MUvTp7/9dZbb7KaES+0kpCT6S5AL+M2zzoGlsoo5oazDBmMa4XHYDTH+Oa5quTT63rbVks4XyUqx3GIAox96oCz0sT1zsdNYT7y+MvzqMRjGcGxeRFzzu/zsJtBhN+wTGLHW91HSozNm461fVaMW8/j87WKkAs/GdE1QlLyGvh8B5SfEOP7axmevSoatYXfxPnttYrQqyKRVhtlPM9UYnKv+0cJy3kd/Sj8EAP8cC9LFPMc457i2qPhX+P8c8Ofcp5XXXVVq+Ff494a9rvl8fUIWAiUs7QQKGdWdYSFQFWcM34wvEaEPJEwhveIJGQ6KMdVBCoZ4VHiBfmMZzxjSg6Cyp1isNYUCDGpVZ5m/sybFcnbzItX1ZTms7c5rlZgLKoyFMaC4ptlcLV5mzEy5qLCT17NR52GY1IyxjOrRdNVk9K15TkX6nGRe9ZrXiu8Y5hS7HirMJNaYUqx+k0uEhSS0iaGVOq17YsfuyXjdZbwUg18iZfZXIXgPPM6+jEMJ/YLaKvG1da8a6bC3IZ9mHKucCcfS/c/v+O5p3BTPY/iSsIgKyb6vsnjL8OfZ1vu8S9dOR2Wg8fPLgELgXLeFgLlzKqOsBCoinNeHEyeexLOcoFw/fXXJ0MAIzzPQeDfrCyoy3HXi1FuQvT2IwLY1PxMzdIkGFT1RnXWY4gRL+LZjuFW34ToLcdo4LziakWvMI3c2xwN5/xa8xWTGoYghqzqx2seFCYzTBnMXp712tWM5EGNib0SXtFbPtthVnlIShQJeeUmeZJjnLu6JcfE5GFLSXb9Xpbux3kTo05hAe4lJSlHw1ldh/P4/Png1Y6hYrGHAt/h6PFHuLCvCgvkvRG0YqJrjatCsKGYA3PIuH/7t3+brOpDcQoZ/i9/+ctTqA8OGxv+pXfiaO9vIVA+fxYC5cyqjrAQqIpzXh9MxiqdJfNeCMSi8gLEaGwTCIQfSSBgJPBC5N/R6FRuQoyN72X05KVOMbBiacG8idggybu9JiManfL4Kyk2L+FZw0iPhqGuU3kInON0eQi9Vm16hfnEaj5cS40wk5Kbuks1I4UVxd4PePvV+CoKlxpdV0vOv+u+CteLHYc5/7ipnnxs9icDej6sgpU078rLu/ZK4o2JyrrWmRL1vQx/vgMy/LmXSlcsYv+SeJ0333xzqmTH9XB8PQOp/EYTr1133bXZaaedbPh3/RIt0P0sBMon1kKgnFnVERYCVXGO5MFUVYdwolwg0E0ZzxkGJSEN/Hn77bc3dHR++9vfPtkwhxduDaMTz3asABOTH6PRnK8gTNepVU2XYpgPv8NTF6vhzHbfhDwcJV4rRg4GR0xiVWyzSkrmYT7qPTAfb0K853ibqZSCkOzXbRgBUDPMaFgmMvxjRR/VkI8rFsyXVhF6lTxV3fwYVqV5LjVaS66L842JsQjvYZt3dVkxyT3rg+ZdKEchliPlOxQNf+aihnjXKmf0+F955ZVpdXCTTTZJn4mYgyGrrIiEV73qVc0ll1xSMiXedwESsBAon1QLgXJmVUdYCFTFuaAORmULujFjwJEIS7M0cg4wKOjDgFGEAcNSuXIP9CcVjTAyauUhKHm3LVE5T2jFmNLqB0YzY3hp5yVIayQFzsSEI1JkNCNeVMFInwVTRBfGSBRE08Wrz8R5TndMJYYr1EdGp1ZcMNhUzap2mFGNa+V+k3DE8OTvSixVfgJ/ljYeayt5itdZc9wrMVvNqkquDbEVjWaEibzZuoaZDLXq5VnnPGIp0DzMSKGBvQx/5VhIgNU0/P/93/99MtQHw5+Nbr0K9dlmm21ay5+qXwWhld7Gm4CFQPn8WwiUM6s6wkKgKs4FdTCM0X/8x39sePmts846k0Y9RjYv6dtuu22VFQQSlTGaMFxIZM4FAsvoGCO1BALhDSzRy9OMQcW5RaNZXYZjw7T5FLcbm17BTkmledMuBE40mmMeguKa5yLnQmUYY2Kv6t9HoxnRUhIS0zXMKPesDzK3sSKREnu5LnmbFa40Ux57Cd3YPTrvTttW8lRGszzYio3nTzXvksHMn7O96tX2QNTKVtuKifIuYl6CViPJa6rVPE0rGbnhzzxEw5+Qn/kanragXjYL6GIsBMon00KgnFnVERYCVXGO9cF4ufJDUzSa5KhZGuKAv2Oc4L1DIKhRGkKBvgjrr79+iuXtJxBkNMdOtzLYYpgP3n72na7UqcJPYvIuvysxVksnPE+KxXjGYEMcydhUD4iSpNK2nIuYhxCTPOP1dmGeX2NMTG7zlus6BjHIu/AsbZoW49bFVGEyCvWJFYliYu9Mxbd3uU726VXylPtaRjP3q757nK86DlMZjGvv953qei6199N99Mtf/nKyOhTXEXNINNcIpFipKu+NwL+nWxmQ4Y+XX3X8+TvH33LLLVMd/9///d9Psf7zmVntOfDx6hOwEChnaiFQzqzqCAuBqjh9sB4EeOH+7Gc/S4Ig5iGQg0DCJQYaqwVRICAYMNCI08WoIQRJRrNCTPqVwMxPJ/dGRqGAMY3RlHuYh4lVV+14CRcMz5ifIKN5poyPXnkIiARYKA8hr2QUjfheickYnDGxd6a85V2/VL08zcyxVky4z7SihQGt/g9PfepTU/z3TIrArtfRy4vOdeTNr/CWM1d5Va5BS54Oc479xuq7oGvgO8FcKNSH8MNe5WDj3OZVfvIeEHTrveOOO5LDgfmkEAJd5fH+y/An1AfDf9ttt7Xh32/iCv//W9/6VvO5z30uPbfJO9t3332bE088sdNRuCcOOOCA5pxzzknV7Ui+PuGEE1JYatyYzwMPPDB1ZmaV6N3vfnfz/ve/f16IXguBTlM9ZScLgXJmVUdYCFTF6YMVEuAFTwgSAuHqq69uLrvsspR/wKqCjDfyEnhhs2RPeIBCjmov2fN5saqPQhdKSp3GMB+MfoQMW8xPwHie6/yEXl51jE3VWpfRLE+sPM14zOdzYnIMVVKoDPOCxzg3mvvF5s/Uqka/r0mvijix+VWvBP0uCbyxKlcUvoOsEPW6Fhn+ePy1csS+3Duxqk/JylfbZ6nAAEYkFdG+/OUvJ68/DgZEAuIekYGTgTDHvfbaK/3d28wQwED/5je/mfonYNDvsccenYXAzjvvnBxFxxxzTAovPfTQQ5OTiNKsWp0jOZvmmTvssEMSGddee21z8MEHN0cddVRz0EEHzcxFFRzVQqAA1spdLQTKmVUdYSFQFacPNgSBa665Ji3NY/Dzwt54441TTDOiQOFFrCDceuut6eX+7Gc/e7LUKeFFykfAy1szHKJfqVNeUHgeMUj4Ue14jA+tWAxr7AyBddqhsRqOYvxlNPMijiU+tWKiPIR8FWGuwmh6dbzFwM0Te/P7okaYUY25UZhM9JbnFXEGKYWZn1vMu4j5COqYzRy25SJ0CZnjfBVqlRv+fBdqCkitEBDeQ1EDfvD4c31bbLFFSu7lh5BDqpyxKkBfFZ4fhx9+eHrGeJsZAlqN4ugUjdhll106CYHvfe976fl/8cUXNzvuuGM6OeaMZ/uXvvSlVKmObe+99077MKdahTzkkEOaU045pbnrrrvm3MliIVB+X1kIlDOrOsJCoCpOH2wIArxAMCb6xfriZY+N0vg7L/ibbrophRo861nPau2mjCEyjECQh1MGsyrJ8DLSCwlDJA9VKCl1OgS+TkPza+Ba+B3nGMN82hpESRDleRe63rY8BI7LfA7DPb8wGZwyOpmH2PFW1zHMqkuXhNa814WEUZcQqdxoJkE8hsnMdtfh2GArT+KNAjCKBK6f/+P7qARr5jl6/GutHGk+8Axj9OPxl+G/+eabT8b4/97v/d68SIju9GUcg51KhMCHP/zhFAbEClJ8Xmy22WbJKXTGGWckYjiAXve61zXHHXfcJEFWBSjryooyIV9zuVkIlNO3EChnVnWEhUBVnD7YHBHAUMCrqZUDlpf5OwLhhhtuSIYiIUYxB0ErCOQftBmqGLgxtj+G+cTE3tzg7FfqFK9rLg74N8epaTAzFYrvV4iMriHmWHAtw5RgjL0fYiUjeZlVEjNfQejajTbmKHAdXAOcFFuuuZitFYlBqhkpeV3zgOEfjWZdw3xcOVLJU85Z/Fk1UnUuroPrUxduVecapOSpHh9Kks49/ggPDH/F+GP4114BnKNH2IL82BIhgMef1d4rrrhiCgtCi3iG83ueL9xneP/32Wefyf3U0+Pkk0+e8vu5gGohUE7dQqCcWdURFgJVcfpg84yA4qURBHEVAZFArClGHXkHCASSzvDmsrzMC4k41dgtedgwn7YwFHnX+T+MwGgsSyx0jVOXGIplPDHGY0WiYa+hZHq7hN3k4oB/E2aFAJPRrPr38jTP5jUMer0ymuGvXBeOxRyrnC0rVBix86n/Q7zeXp2HY7gV9xZ5FnmYEd+rPPE+ribkok2Gvzz+eP1JNoVdNPxf9rKX2fAvuSnneN8SIUDMP98P8gvitt9++6VGbYQCkQTOiu9ZZ53V7LbbblP243lJiBA/c7lZCJTTtxAoZ1Z1hIVAVZw+2IgQkOFx5JFHNueff35aOcDLycuEpWeVY8To0SrChhtumPIQ1l577WTk1PLeS6z0K3WKkRxXEvC4YiRHw1+eMXmYMTZnqiLRoFMdw264ZiVVswLD/7HBFlGm5Fiq+nDt89FjzvmqeZfClSReZDRrDjCYo9GsRPRhwowGnYd8XDT8Cc9g5WWQzsO9Sp7CRGFkhPVg8FENhs+45ZZbUjy4DH+V88Tjz8pPre9aLVYL6Tg8/w477LDEn2ffBz/4weYd73jH5CUiyn/6059OuWSqAJ100kmtGIjhP/XUU9P/cf8zPt9yjz7/byGwkO6qsmuxECjjVX1vC4HqSH3AESJApQleVFQlIlGN1QEMIsrexTKnrCDwosT7iWGCOOCHRDb9SdM1vNm1jJY8Th3DTJ2GY9M0vKt4mfGYE+aE8T9fDWZVw5HBzJ/w5vwxGvCQIwBiV9poQM4Hg5l5UedkJfeqeZcM/67NuwYJM1Kd/WHvM7jHcqSDGv5dvu4w4/Pw+F911VUpvp8KP/yOFTgEISxYNeD7RCnI3OPb5XO8TxmB7373uymm/p3vfGfzpje9KTWQ5Jn4D//wD80b3vCGdLBPf/rTqdJSv41qQayifv3rX2923XXXSSHA95cVnrg997nPTSuwcSM0iCaVJA3HrS00CKGB4NDm0KB+szO//99CYI7nx0JgjifAHz8SBDBkiIW/+eabJwWCkpRZTcCQwUCj10HeTZnlcQzzUsMtliLFYOMzFFeOwaycAozQQUqdzgb4mJysSjJKTlbjrl5lMOP55cIgJrQyN8PmIUzHguNr5UWGM3MDf5XB5M+a5Wy7hFXl/S64/6YLM1Kuhcp5cj8pbEzXwX1Vq5cCn4fRr6o+hPpwr5L8icefH0J9ELAwxgjku4TgpqrP1ltvPRu36Fh/BnX6uQ8uv/zySQ5vfvObU31+nm8l29vf/vbmvPPOS8JOCfN8t/nuIPj6bSQLs9JAl/j4rCQ0bKONNpqSLPz617+++dSnPjV5SEpOk1DsZOF+lOfn/1sIzPG8WAjM8QT440eagJpTkVOQryBg1ODBx4ut3gdRJNBADUOMlx6GHyKDF6hCfTCaMHBjNR9WI6Yz1Pp1GM496go1GiZZOE6gwkvk8SdWni1P7K31eUrMjknK+rvyLto6SLMC0Yuj+hDkzbsYEw3/rsnONW/wkmpGnB9bvCei4U9Jz5qJthj+P/jBDyYNf5I7uYep+S7DnyRfDP9SUVyToY81QQAxy/x/4hOfaN773vdOYsGYx6NPFTacGF02Qr6e/vSnp1WF008/fXJIiRBQ+VAakm2//fbpGOQF8MzMy4eyD4JRzxFCmwhVomlll6pdXa5p0H2cI1BOzkKgnFnVEeMsBMa9A2LVG8kHm0JAOQYkt+UCAU8bRiZGmXoNEIPLC4yOnIQnERPPS7RWfH9e2Uf5CGqopXj8PA+hX4MpDAAJF61aqI+CwmRqlZAsucWUd9EmEPIO0qqRrzAdlYXt0ryr5Jxmel9yDzCE8Kgyv7kXtksX6ZJz5Pi54c85bLrpppPlPG34lxCd3X15Dr3whS9sLrroooZGXtoI2WJlM//9dGf31a9+tXnjG9+YPPLrrbdeQ7Untre97W0pJwbBwXeRsK/9998/hRpxP/L/n/nMZyYPzXlwXrGhGII9byjGPca+dBRmNYBQMjcUm937p+anWQjUpDnAscZZCIx7B8QBbhcPqUCAF+YFF1yQEiNJPMaThrGMB44fDGlWC2KpUxKVWVWo7YWOHvU8WRljOpY6xWDm3/IwIwDiqoVCfWqGl1TAvcohEC90ncVgJi5eCbvaES8jKyUqg1l71aTWNXHecdUCQ4tzj6sWnLtyGtpEkbpGt4UZca/FlRvmne7fquOPxz8a/nj9MfwRgPb415rlqcfpl9jb9qmsNGKc5xvPFIxuPPEKw/rXf/3X5j3veU8yvHFGvO9970tGdr/5pK4/eR+sjJ555plTko3j5xJ29MUvfrH55Cc/mY6NEFB/APZDhB9wwAHN2WefnXJGaCxGbwGek3HjPNmPECbyougw/IEPfKDvec7MrEw9qlcEyilbCJQzqzpinIXAuHdArHoj+WCdCbDMzUuWly/GpjYMtrvvvru1WRrdlfGM8UJnqVwiQcnKNePTOR8JBIxlYsoRCRiesapPW+34rqVOO8OqsGNs3oV4wdhoa96FsdNmLLetmsSypzPR/6HtslWZSMY/Rnib4d/PaIv3G3OaNxDj3/z+4x//eKrfTv8NfkeHXsTri170ouZVr3pV8vpj+A/bqK/CFI/FIbok9rZV+GFVklAbPPHqqPzMZz4zhSK+9a1vnRQClFNWGNc3vvGN5k//9E9T0nA/TzvfKe4RynweffTRfecCRwir8TzraoUI9v3QWdzBQqActoVAObOqI8ZZCESQJfWOF0oHxKo3kg82YwQwWjH+8N6pUZoSlUmwxPCj7J8EAuJAuQglMeAY/2qgpsRevHIYvbF2PBeKYZivILAvYkXe5VjqVOE3MwYpHLgtT0FJ1vE6ulZW6pKH0NYPYbo8hC4cehn+hJPJ618rdIzzgRseVjz+ePsJEWE+ye9AEHI+JIIirBCyGHMYjt5mh0CXxN6uFX6ogsZ9TWgQZVw5NlV4Lr744gYRgNgjNIgOzpT6ZN57deomtIeqQ4SJdbkfvvKVrzRUCOIZxrNqoW0WAuUzaiFQzqzqCAuBCZwlQmDQDogs6x566KEpppHSaR/72Md6LqFqkv/qr/6q+eu//uvWOY/1mnvt11avueoN5IPNGQEEAsm4sVGaBALePv6f5jtt3ZQxJPHkUS6QeGCMPI7FGMRDNJi7JN/lSazyMitWPW8upVyEGs20Yvdkdb5V/fuYp1CrGo4mvF//B665TSD0umZWHmKoj0qSxlCf2ob/NddcM5ncS4gIoVJUX8HTv91226U/ER5aZYA1qwQkwrMqgEjwNvMEhknsVWgQBrhKgnLGOiZhOoQD4UwgxId5fe1rX5vCFHkmbLLJJtNW42F/ViwRF102C4EulMZrHwuBOZ5vC4FyITBI45O4rPt3f/d3KSzkO9/5zpR6zW23Asvx/MQNLw3xkLFeM0KA6g8YdnFrq9c8x7ecP36GCajcJS/mKBKuu+66FA7A/2NQYmgS88+9Q3m+ddddNxkWQJ+IAAAgAElEQVQDtZfrMR6jMBi21KkSlGU058271LG3tuHfddryhlox3Ej5CKwWEIPPObKSwlzACdEVPf41Q774HBn+PENyw5968hj+ePu7hhd1ZeL9hiMwTGKvhABFCAjzY36pCkTo1+67757yPFgVYAUPxxHvKrz7fGa/+vwUOcDZwDPkQx/6UKeLpPQn7ynydGo/azqdwAzv5BWBcsAWAuXMqo5YSEKgLT6yDRbGce7lLFkRGEQIxGVdtULHMKtVr5kHMfGZeGC9mUBOAK8fSX94yDH6iRHm71SZQTAQH4yhiLGQ5yDwbxKaaxvWhKJghOQhRhjFbIQiIFgwmNWQin0RAsPExs/F3aGE3XvuuafhB08r168GdITbsClROV9JGCQPgfm89tprU3gH4T4kWOLxZ/4x+GX4M+c2/Ofiruj+mdT5p8tyTOxlNPcSybJf+MIXGhJx2zaM9SOOOCKF//Cdp58Dcf+8B6nFT/4AY//+7/8+rQicc845zZe//OVUBYiN9xXfU7oNxwo//B/jSdrl+UGBg3yjBwAJwTxD+F5znqwIHHfccWkVYiFuFgLls2ohUM6s6oiFJARK4iN5MMWtRAiUdkCk0YrqNVPuDMPm5JNPTpUQatVrthCo+rVYcAfDK4jxSexvbtDLg03N7riCgEDgd3gF8bK3CQTuYYzIWoYk54KxirdQScoYyRxficpqHoaBEvMQ+pU6nc1JleHPNRCCxZ+sBvDdj6E+Sq7mGjG28mRlfkcsd1vpT37Hc4U/2WT4q4EXhj/OkWj4k+Brw3/m74Qu1X1yxxUhoxQSoGIP9z/hoxjveO75XkoI4L1vCxctCQMlD2CXXXZJBj/3JCvMhHsh+D/60Y82f/ZnfzYJie8Y92Ve4Ycdttxyy/Q8QVy0bfQVoJoQOQZ8h7kX//Iv/7KhW/BC3SwEymfWQqCcWdURC0kIDAOmRAiUdkCkZrLqNeOJVQdE/j5MvWY8etoQAnh9CCsgZILjql7zMFw8dnwJyAt/4403piRlJSojEGjmg2eeGHFyEPhRBSP+XGeddSa93dMRzJt3YTQjPNqad7GvjOVepU7zPghaUaglVHpdi84txvhHw1/hPqXlX6cr/XnhhRc2f/u3f9ustdZaaYWTxHE+c/31129e+cpXNqxc4vnHYzzT1z++35JVr7xLdR9GdXVcveQlL2k++9nPTib2siqgMFDmHMfUsccem4xrxEOXTblAlN1EaGDoY/CfeuqpKWlYW7/QoC6fNW77WAiUz7iFQDmzqiMsBCZwlgiB0g6INInCaGcc9ePVAREPbb9l3XyyY73m6Nn9/Oc/n7wuVG3AQONFQUgA3kJKTn7wgx/sm5jcq940LyKqiMQNbyN9GAht4uXDSkeXetNVb14fbE4IYETgfeZ+aeumjFGBAY4YjZ2U+TsrCHgPuW/4TmD4qzKR+hDwp7ridrlAPOaEHURvuoSCugvnoTYYPcOUOpXhj6dfxn+bgOEzam2sGuA1VqgP8f4IAEo3IgD4oSQj3mSeDSVx27XO0cdpkhef+49wHm2E3vQLA2XueB/EjZr7GPg8b1nNIcSP+01hoKw8KLG3axdgjp8LAX5HfhDx+4T7aON+k+MqOp48z70JWAiU3x0WAuXMqo4YZyFwyy23THZAxJAlnnHPPfdMfGN1hbYOiFRKYLmWJVXid3l48vKlw6KW6jk+hjvLpyQG08adkCDVZe4S3xknu2u9ZnmkSP4kBpylWCoUURM6Xld+I0kIsDRMxRBthB+woqFN9abxOOJRIg754IMP7ltvuuqN64PNOwIYFxireCklEMiDueqqq1KlGQxVvhvsg9HBdwdPObHKiAb+r6bnOnYXHrbUqRKwo8c/Gv7R419rYuAEP54dfKcxLHkG8F1UjD/GIUI8cuMcCfPgnFip8TZ7BIap7tN2lqy+0fjrvPPOa0488cS0Isa7R0KAWv9K7C25SgmIWEmIlQBKwrLapyTeww47bNJx1aV6WMk5LNR9LQTKZ9ZCoJxZ1RHjLAToaEgCVNumeGT+j5dsHh9Jt0MM7H4bHp2/+Zu/SZ48YnPxoqsDYmkr9671muWRQnioXjNhQ/08Ur3KzOXXqHrTxI/r5XDIIYf0rTfdj5X/f+EReM1rXtNccsklzRZbbJFWq/Bec88QbqSqRhiu/I6QlljqlBAjflc79l85Ebk4iKVOVdWH776Smlm5oIpPjPEvWbnoN7sy/PH4Y/jzg+GPIahynm2Gf7/j+v9nj8Aw1X3azpLQrz//8z9PuTo4dfDK8z3C+OfeQxgQYvqRj3ykIQSVLXdc8c7BSUWlOpKFidnnncR3jVVqOa5w8Gy66abNzjvvnFZ4eWexytuvodjs0R2NT7IQKJ8nC4FyZlVHjLMQqApymoPl9Zq1a+mybpd6zdEjxQtCQgDR0S8xuasQUL1pKj9oY1WgX73p2eLtz5k/BLinEMCE4rRthO5g4KhZGn8iEPghVAIjhWokuUDYYIMNkiFUawVBuQp8Js2zSFjGMFf4HefJhkBQmFFMVJYxVUKe47NyolAfPP6IIhn+GH0Y/iRw1rrOkvPzvuUEhqnuk38aK8Y8U1lRplQ0GysDrMJSCYj7ghVe9sPhRNjQQQcdtIrjCgcSK9EY+hIOf/zHf5wSjvM+EIQgUQUIpxFhSnyWHFflNMZzhIVA+bxbCJQzqzrCQqAqzp4Hw0vPQ5iKHtpKlnW71muOHim8SarXjEHWLzF5unrThBmwKaksr1DhpLLZuY/G5VMwzIl1RxDk3ZT5LmCgk/uSVzJCMHSpva/qRAr1wfOO5x8jP3r81U21S6nTKAyUpBxzBDD8+X5i+PMjw5+Vjxjqw6qJDf96dzphUn/xF3+R4uwJc3zrW9/aHHnkkauUkM4/kXuERFpyuhCI3GuEQOI1jxv3KcfDu868ISIvvfTSFMKjrTQMlPvt1a9+dbr/qSJEQvh0G6U+CevhPBdibf56d8PMH8lCoJyxhUA5s6ojLASq4ux5MMXts8yLl/6yyy5LVX5ivWYGt+Uj8Puu9ZoxNvDoUDUEEaB6zV1eRNPVm2Y5mRfMHXfckRrInHXWWc1uu+025XpVGhHjilWDLgnKV155ZQopwjCiOyWrGHi5iE3FmNLmzsmzc5/O90/BOCNBt62bMrkJGGLcexIIGNn8nRAjBAXfCeqmI1wJ9cF4j4Z/aRw037e85CchRiQv0zjw29/+drqnOW9yhnAGqKoPHn9+bPjP3F3Hs4icClaQCF/k+cXzEScMMffTbeRVEXLzR3/0Rym/qt+G1535xSu/1VZbTSmpWRIGyr2CWDn33HOT44hVgX7bQu/W2+/659P/WwiUz4aFQDmzqiMsBKrinPZgLOti4JKMJUM51mtmcFs+AvWmt9122+QF7fVColQo3iOMeYwcwgt48alecxch0Hbysd40AqaXEEDovOxlL0vL2HjRMLiILe2XoMxLkyoyb3nLW9KKBcYa5Vl5+cUuye6cPHv36Sh+EsYTVbgkELiPqHSFNxhjkO8O4T2IWPJ9WE3gO8j3hLjpGh54RAHfQXn7+Tvn9cQnPjGdG+KAyl58P/lMPM29mkCN4hzMx3MmFp7n0K233pqSp9lOP/30FAPP76hi1bZReY3QG0JjKJ7AxrzxjCLvBaOfDYcIz1jmmtUoQjNxYHAv8FxDELCVhIES049IoTxsXFWYjq+FwPy5+ywEyufCQqCcWdURFgJVcc7IwbrWm+ZlhLGDB4ymM4QjaSvxSMWL6FpvmgpCLIfHkKFhS+axJE4lJzY3TJuRW2vBHhTjDdGNoEREU0ELAw2vPN8TBAKVjPi+4JGPOQgqedqv/j5jZfjjuUUMk1/AsYjt5wePP2EdEhqsQtx0001JsNDcra0b64KdlDm4MEKuEACKsecUCAPjd9Tmp9lj24YTAiP86quvnhIKxGrC2WefnUrnsuG5Jz+KmHptO+64Y1rxPfTQQ9Nzi61rGCirEDhw6MC7++67dyZG2U+FgTo0qDO2GdnRQqAcq4VAObOqIywEquKc84PVSkzWhXSpN81nEmKBkcMLUPWmWQHpl6DcBiyWzPvDP/xDC4E5v6tG7wQwyFkFIOynbVOjLlbn8m7KJFVyL5PknIcYEbpHSU8Mf2L8WWnDSxwNf3VbHj1qC++MKa3KqisGdtwI12IVMv+99sHjz2oAqzixMhR5V1RNIxyM/A88/pS/pSOwNq2OEgLG/l3DQNUzANHAZ8cNwageAzhHWNXi3uT8EA2sCCgMdOHN4mhdkYVA+XxZCJQzqzrCQqAqznlxsGETk+NFdKk3rQRlPK7EbyvOetBViFgyj9heNndOnhe31oI/CQQCwpZyjblAQDQgEDDwVNGHfhs2/OfvbYF3nFwsknzjxmrMS1/60hQm1LYRTsQ4QoTiRp8YEnMJkWTeeT6xckBH3rgRIsmqE+FEXcNAWZ0gr6RtoymlVi/e9KY3pRKghJmx0rTRRhulUtYKA52/szEeZ2YhUD7PFgLlzKqOsBCoinNeHGzQxORB602T1Hb88cc3++23X0N/BW2D5CW0lczjhUoCMcYZKw8YX7zgSbRWybw28Kr6gXePahpU+yDpmnracSNJmaoi1LvnuDSBO/bYY1cprTcvJtcnMScEVGUIcUCn7Ro5BXNyIfP0Qwep7EM+FN9nvreEeZGLQSgQeQGEgrHxfaZXDM6FfMOTz7iZEAK77LJLEgGcm7fxImAhUD7fFgLlzKqOsBCoinPeHGyQxORYb5qlb5LlqLCCkZzXgSd2lmV1XuC8gDG0Kc+3zTbbDCwE2krmTVf1g/rz05XMU9UP/tx4441TciZ5DMTzYgSw8ZmbbbZZ+jtx5ar6QWz5BRdcMG/m0ydiAguVwKCVffh+0jSR0B/EPU4EvPiU8yR8i1AaQoN4hpHUi1edcBo2Qg4R/Keddlor1pLQIMJ2OH7cyEtZZ511poQMLdT583VNJWAhUH5HWAiUM6s6wkKgKs4Fc7DZTlDuVTJvuqofGPb77LNPCuGgTGTcBq36wTHw4hFeFat+LJiJ9YWYwDwjMGhlH5J+cVDEZm633357CsVhpZAVTlYISOomn4NSxXS4pgobuSNdkoVxGsTynRzza1/72pRkYTrw4hjRxrMMEcIKqZKF5xlyn84MErAQKIdrIVDOrOoIC4GqOMfyYDUSlHuVzJuu6se73vWuVMavTQgMU/WDFzmJoqyE+EU+lre0L3oWCQxa2afXKbKSScLtMccck8KEDj/88BTrLyGAkwMHQpfyoTwDaBbGxuohieE0+srLh5I/onwmVh2pomZHwizeRPPooywEyifDQqCcWdURFgJVcY7twYZJUJ6uZN50VT/wBhIGwE9eMq9kaT+v+sEkvvjFL049GegS2rUbaZeYZY79T//0TynPId9IAozVR8b2ZvKFjxWBQSv7tEEij4jyreQEvPOd70w9JEjupoiB+jkwDi8/oYzq/EzCL6VlqRiljecSjgD6opCQyzOF1cK20EJyRmJoIaGIDi0cq9t48mItBMrn3UKgnFnVERYCVXGO7cEGTVDuVzKPyhzE/VIeL5bMo343TZp6lcwbpuoHxgO13zESMMy7diPtErMchUCMWeb3rEJgtHgzgXEiMGhln5wRK3l46wnVQRCoMzmhPKw4ItQf+9jHpjwBQnnIHZCxThUoegOoPwDH5niIgbzYQMyDYj+eD1TtQSQQpkTuAUnMT3jCE8ZpGn2tKwlYCJTfChYC5cyqjrAQqIpzrA82SIJyv5J5e+21VxICvLhjyTxAkyAYuw9H+MMIAcIJPvShD6VOydQAZ+vSjbRLzHIUAgpVGOubxhc/MgQGqezDxT3nOc9J3vZ8U41+CQHEfazehSFOH5IzzjijE6OPfOQjyStPM8V+HXnJLyKG3+E7ndB6pwICFgIFsCSeyod4RE0CFgI1afpYtQkQNrDnnnumWN+41WwIlFf9IGb5Rz/6UYrzVahOl26kva49xixbCNS+Q3y82SAwaGUfCQHq6uOVj5vKsPIdxyFw0UUXpf9WiA2dyddbb70p4Tq9rlW9R6h8RhWhfhtVzvhcvP3kGnkzgVoELATKSXpFoJxZ1REWAlVx+mCVCWCUP/WpT23OOeecySPPdNUPDARyAz7wgQ9MSRbuJz7aLj2PWY5CgMoidMAlDGn33XdPSY2KWa6M0YczgaEIDFrZR0KAuvonnnhi6znwHWd14KqrrmroKk6MP9/xJz3pSWn/fl57ng00+WJFgJW8LpuFQBdK3mcQAhYC5dQsBMqZVR1hIVAVpw9WmQAGCB7C2267bdIwmOmqH8T5Ll++fBUDpF830vzSe8UsE+bESgMGEIY/4U1HH310CnUiTIIkxq4JyjK0pgu90Hm5cVrlm3OMDjdMZR9Cg6YTAnzHP/zhD6fYfeL72fiO77333inO/j3veU/P6l0k3u+8886padgpp5zSeUZofEhcv8PzOiPzjh0JWAh0BBV2sxAoZ1Z1hIVAVZw+WGUCCkmgbN8hhxwymbi7xx57TPEw1qz6QfUevJLERMetVAiUxCxT9/z9739/qlaEYdQ1QVlCYLrQC/Zx47TKN+aYHW6Yyj4IATz8NOtD6CIqVIkHjHzHCZ9jBeDzn//8lO84olmNufLvOKsHJO7y/zQGW7x48eSssNpGyB8bpURJwqdx4BprrJGEN8m8r3nNa6asNI7ZlPpyZ4iAhUA5WAuBcmZVR1gIVMXpg80AAV74JBFGTznJwEuXLp38tJpVP6g5TtzwscceO+VqSkKDSmOWDzvssIZrQhAcdNBB6XO7JChLCEzncWUfOp8inhR6we/cOG0GbtYFeshhKvvgeScfgEZfN954Y7rP6QqOka8O3+uuu25ahaPMp1bD2I8KPA8//HC6V/PvOEnErAS0bVQYU5IxwvoLX/hCSlim5wl5B+QffPCDH5zyDFmgU+fLmmUCFgLlwC0EyplVHWEhUBWnD7YACAyal6BLHyRmGc/mFVdcMSV5sWuCcr/QC86LiizXXnttqoGuzY3TFsDNGi5hkKo+vXpacNi4KrZkyZLUoTffCN1hBQ3R2nWjjCdhQAhTNeaiGRce/1NPPXXKYRC4EgJdj+/9TGAuCVgIlNO3EChnVnWEhUBVnD7YAiAwaF4Clz5ozDJe0Pvuu2+VmOUuqxD9Qi84r6222ip5X/OGZdtuu+1k6MUCmLqxvYRBq/rQi4PO3HHjd9Tjx5NPCA0bYTuE9+S9LyjviVeeevsl2x/8wR8099xzT8rD0f2ZV+/i974/S6h63/lAwEKgfBYsBMqZVR1hIVAVpw+2AAgMmpcwTMwyMdMbbrhhKlsaty55CV1CL+xxXQA35jSXMExVn/ywCrmhbwe5J2x0yiWRNybXdqne1euUcyHAihXHJ1xIGytWxPpT758Ov95MYBQIWAiUz5KFQDmzqiMsBKri9MEWCIFB8hKGiVm+/vrrU/nQQw89tFgI5MhLQy8QPnRcLalW1DWkpNd+hJPkqxML5NaZk8sYpqpPfsI77rhj6rBL6VttNPajkg+Jttttt136dZfqXW0wqF71ghe8oHnLW94ymfCvHJaf/OQnDaKV7dJLL029PPqVD50T4P5QE+hBwEKg/NawEChnVnWEhUBVnD6YCQxEYNDGab0+rGvoBUmc5A4QOhSrMlFppVfddz6za0iJhEAeUrLmmmumSi7e6hAYpqpPPAOSeAlHI3k9euHPP//85rWvfW2q+kNS7xOf+MRUBYhGYDGuP6/sg4F/wQUXpAo9a6+9dkoWZvWCpGD6BpC4y6aqVosWLZpsKEbSPCsRjPdmAqNCwEKgfKYsBMqZVR1hIVAVpw9mAgMRGDZBOf/QrqEXj3/845MRdtdddzVPecpT0mG6VivKP7MtpERCwPXaB7otOg8apqpP/JDjjz8+1e3HM0/JXm2E7Jx00knN97///VR5il4bVOBh9eDCCy+c3C+v7EMCPNV5rrvuuobkd3INXvnKV6bVL5KR40bJXMLcqBDE8akYRI4CCcneTGBUCFgIlM+UhUA5s6ojLASq4vTBTGAgAsMkKOcfWBp6gQj5zne+M3mYrtWK8s9tCymxEPg/SoR/0TgO4xjDmMo5/NlvI1aeHBIq7NARd9NNN00GMg3otCEE3ve+9yUDHkOaf2NIX3755c3LXvayzlV9WCHC44/B329DGBC/79CdfqT8/+NEwEKgfLYtBMqZVR1hIVAVpw9mAgMRGDRBedjQC0JB9t9//1WqvnSpVhQvtFdIiYQASZ+/+MUvmrXWWqvZfffdk0eYrsrjtJ177rnJcMbYJv6ecpxdhAAVeWhOx5+EymCAEz9PKVjV4YcvYTU05qITN2E7hNYgHN773vd2qupzww03pHAt+mdwT/TbODYhSQgU+m54MwETaPge2q4tvBEMrBBY7d0tBGoT9fFMYDACgyQoDxt6ceaZZzZHHHFEc/DBB0856S7ViuKA6UJKSApm1QHDn2RTvOLbb799c9xxx82Yh5xzY2WERnTRQ46RO1ehJhj+6n5LbD1e935CgOZ2GPf77rtvMvDZqKtP2A5x96rDz+oCqwH0ElDIDf0sWBX40Ic+lIRXv437gLyA22+/PQm2fpuFQD9C/v9xJGAhUD7rFgLlzKqOsBCoitMHM4GRIlArtnyQkJJPfOITDQJiJjzkSj5lMqKHfJNNNpkXyaddhQDCiQRcYvQJCdJ2wAEHNGeffXaq7sO22WabNddcc01adSEOn03drdn3mGOO6XtfUr4WAfDtb3+7777scMIJJ6SYfud/dMLlncaEgIVA+URbCJQzqzrCQqAqTh/MBEaKQI1qRYOGlFCVCE83W1fDuKuHXOUoWWWRh5yVgZ122mlexLR3vV48/jB64IEHmjXWWGPy3sLI33vvvZv7778/rbRsvvnmqTEYoipWf2LMK17xislSrXlVHx0QoYGYoCTonnvuuco9TBUpwobYh2MiUMhTYFWClQdvJmACEwQsBMrvBAuBcmZVR1gIVMXpg5nASBGoUa2oRkhJV8O4q4ecBlWURSWOXhtJt5QtJVxorhtUdb3eo446KoVuIYDi9tWvfrV54xvf2FBph7Kc1N7HSGdFIPaDoEHdsmXLUngUW17VR8ck0RgPP9WjtKIQP49k9i984QvNLbfckqoFUfbzzW9+c6oItHTp0pG6532yJjCTBCwEyulaCJQzqzrCQqAqTh/MBEaKQI1qRTVCSroaxl095PRFIJE2b1q27bbbNuuss86cNzPrer0lQgBvf6zpz424yy67pJwCCYGRujl9siYwggQsBMonzUKgnFnVERYCVXH6YCYwUgQGrVaki6wVUjJuhnHX6y0RPs973vMaQqLiNl+Ez0h9KXyyJjAEAQuBcngWAuXMqo6wEKiK0wczgZEjMEi1Il1krZCSrobxQvGQd71ehUIR4kSis7YDDzyw+drXvjaZLEwo1A9/+MOUVKyNUCjKilKydK5DoUbuS+ETNoEBCVgIlIOzEChnVnWEhUBVnD6YCZjAAAS6GsYLxUPe9XqVHE1ew5FHHpnIUhGJ8qGvfvWrJ8uHKjmaEqLkC7DRa2CHHXaYF8nRA9wSHmICI0nAQqB82iwEyplVHWEhUBWnD2YCJjAAga6G8Sh7yGnydeGFFyY6NAWj2hJ9Ddio7IP3vq2qD43E8OjTXXijjTZKxj8x/7GhmMql0ssolkulAdkFF1wwwIx4iAmYwCAELATKqVkIlDOrOsJCoCpOH8wETGAAAl2FwCh7yKn5T7Wdtu2yyy5LFX3aqvoQ4oMYQADQxIt+ApTu3GabbaYcigpC1PVHJKy22mqpmRj7zVUDtQFuAw8xgZEnYCFQPoUWAuXMqo6wEKiK0wczARPoSMAe8o6gvJsJmMDIELAQKJ8qC4FyZlVHWAhUxemDmYAJdCRgD3lHUN7NBExgZAhYCJRPlYVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqI/jSnZcAAAshSURBVCwEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAObOqIywEquL0wUzABEzABEzABMaUgIVA+cRbCJQzqzrCQqAqTh/MBEzABEzABExgTAlYCJRPvIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkCFgIjP4W+ABMwARMwARMwARMwARMoJ2AhUM7MI0zABEzABEzABEzABExg5AlYCIz8FPoCTMAETMAETMAETMAETKCcgIVAOTOPMAETMAETMAETMAETMIGRJ2AhMPJT6AswARMwARMwARMwARMwgXICFgLlzDzCBEzABEzABEzABEzABEaegIXAyE+hL8AETMAETMAETMAETMAEyglYCJQz8wgTMAETMAETMAETMAETGHkC/x+Ug2DM6VsALgAAAABJRU5ErkJggg==\" width=\"699.999984827909\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(7,7))\n",
    "ax = fig.gca(projection='3d')\n",
    "u = np.linspace(0, np.pi, 30)\n",
    "v = np.linspace(0, 2 * np.pi, 30)\n",
    "\n",
    "x = np.outer(np.sin(u), np.sin(v))\n",
    "y = np.outer(np.sin(u), np.cos(v))\n",
    "z = np.outer(np.cos(u), np.ones_like(v))\n",
    "ax.plot_surface(x, y, z, alpha=0.3)\n",
    "ax.plot_wireframe(x, y, z, alpha=0.4, rstride=2, cstride=2)\n",
    "ax.plot(hist_penalty[:,0], hist_penalty[:,1], hist_penalty[:,2], label=\"penalty\")\n",
    "ax.plot(hist_manifold[:,0], hist_manifold[:,1], hist_manifold[:,2], label=\"manifold\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pytorch",
   "language": "python",
   "name": "pytorch"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}