{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "great-sapphire",
   "metadata": {},
   "source": [
    "# Pixel splitting\n",
    "\n",
    "This notebook demonstrates the layout of pixel in polar coordinates on a small detector (5x5 pixels) to demonstrate pixel splitting and pixel reorganisation.\n",
    "\n",
    "In a second part, it displays the effect of the splitting scheme on 2D integration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "false-jonathan",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib nbagg\n",
    "import time\n",
    "import numpy\n",
    "from matplotlib.pyplot import subplots\n",
    "from matplotlib.patches import Polygon\n",
    "from matplotlib.collections import PatchCollection\n",
    "start_time = time.perf_counter()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "multiple-stations",
   "metadata": {},
   "outputs": [],
   "source": [
    "import fabio\n",
    "import pyFAI.test.utilstest\n",
    "from pyFAI.gui import jupyter\n",
    "import pyFAI, pyFAI.units\n",
    "from pyFAI.detectors import Detector\n",
    "from pyFAI.azimuthalIntegrator import AzimuthalIntegrator\n",
    "from pyFAI.ext import splitPixel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "competent-integrity",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-03, 1.000e-03 m\n"
     ]
    }
   ],
   "source": [
    "# Define a dummy detector with 1mm pixel size\n",
    "det = Detector(1e-3, 1e-3, max_shape=(5,5))\n",
    "print(det)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "super-brick",
   "metadata": {},
   "outputs": [],
   "source": [
    "def area4(a0, a1, b0, b1,c0,c1,d0,d1):\n",
    "    \"\"\"\n",
    "    Calculate the area of the ABCD polygon with 4 with corners:\n",
    "    \n",
    "    A(a0,a1)\n",
    "    B(b0,b1)\n",
    "    C(c0,c1)\n",
    "    D(d0,d1)\n",
    "    :return: area, i.e. 1/2 * (AC ^ BD)\n",
    "    \"\"\"\n",
    "    return 0.5 * (((c0 - a0) * (d1 - b1)) - ((c1 - a1) * (d0 - b0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "amended-mainland",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 0 -0.34348246455192566 None\n",
      "0 1 -0.45259395241737366 None\n",
      "0 2 -0.578589916229248 None\n",
      "0 3 -0.5334692001342773 None\n",
      "0 4 -0.4045378267765045 None\n",
      "1 0 -0.41383373737335205 None\n",
      "1 1 -0.6470319032669067 None\n",
      "1 2 -1.1334359645843506 None\n",
      "1 3 -0.8771651983261108 None\n",
      "1 4 -0.5334692001342773 None\n",
      "Discontinuity for pixel centered at azimuth 3.312952995300293:\n",
      "[ 2.807134  -2.7702851] -2.7702851\n",
      "[ 2.912044  -3.1198924] -3.1198924\n",
      "[1.9697715 3.0233684] -3.2598171\n",
      "[ 1.811077  -2.7309353] -2.7309353\n",
      "2 0 3.0264618396759033 -0.4323282837867737\n",
      "Discontinuity for pixel centered at azimuth 3.2295961380004883:\n",
      "[ 1.811077  -2.7309353] -2.7309353\n",
      "[1.9697715 3.0233684] -3.2598171\n",
      "[1.1313709 2.6561944] -3.626991\n",
      "[ 0.82462114 -2.596614  ] -2.596614\n",
      "2 1 4.994504928588867 -0.7384508848190308\n",
      "Discontinuity for pixel centered at azimuth 3.4415926933288574:\n",
      "[ 0.82462114 -2.596614  ] -2.596614\n",
      "[1.1313709 2.6561944] -3.626991\n",
      "[0.82462114 1.6258177 ] -4.6573677\n",
      "[ 0.28284273 -0.48539817] -0.4853983\n",
      "2 2 1.7914260625839233 -0.8743038177490234\n",
      "2 3 -1.1334359645843506 None\n",
      "2 4 -0.578589916229248 None\n",
      "Discontinuity for pixel centered at azimuth 2.9282779693603516:\n",
      "[ 2.912044  -3.1198924] 3.1632931\n",
      "[3.3286633 2.8702552] 2.8702552\n",
      "[2.5455844 2.6561944] 2.6561944\n",
      "[1.9697715 3.0233684] 3.0233684\n",
      "3 0 3.8964836597442627 -0.3726010322570801\n",
      "3 1 -0.5192623138427734 None\n",
      "3 2 -0.7384505867958069 None\n",
      "3 3 -0.6470320820808411 None\n",
      "3 4 -0.45259395241737366 None\n",
      "4 0 -0.30272746086120605 None\n",
      "4 1 -0.37260088324546814 None\n",
      "4 2 -0.4323280453681946 None\n",
      "4 3 -0.4138337969779968 None\n",
      "4 4 -0.34348249435424805 None\n"
     ]
    }
   ],
   "source": [
    "# Example of code for spotting pixel on the azimuthal discontinuity: its area has not the same sign!\n",
    "\n",
    "chiDiscAtPi = 1\n",
    "pi = numpy.pi\n",
    "two_pi = 2*numpy.pi\n",
    "\n",
    "ai = AzimuthalIntegrator(1, 2.2e-3, 2.8e-3, rot3=-0.3, detector=det)\n",
    "if chiDiscAtPi:\n",
    "    ai.setChiDiscAtPi()\n",
    "else:\n",
    "    ai.setChiDiscAtZero()\n",
    "\n",
    "pos = ai.array_from_unit(typ=\"corner\", unit=\"r_mm\", scale=True)\n",
    "\n",
    "a = []\n",
    "s = 0\n",
    "ss = 0\n",
    "cnt = 0\n",
    "for i0 in range(pos.shape[0]):\n",
    "    for i1 in range(pos.shape[1]):\n",
    "        p = pos[i0, i1].copy()\n",
    "        area = area4(*p.ravel())\n",
    "        area2 = None\n",
    "        if area>=0:\n",
    "            az = p[:, 1].copy()\n",
    "            if chiDiscAtPi:\n",
    "                m = numpy.where(az<0)\n",
    "            else:\n",
    "                m = numpy.where(az<pi)\n",
    "            az[m] = two_pi + az[m]\n",
    "            c1 = az.mean()\n",
    "            if not chiDiscAtPi and c1>two_pi:\n",
    "                az -= two_pi\n",
    "            elif chiDiscAtPi and c1>pi:\n",
    "                az -= two_pi\n",
    "            \n",
    "            print(f\"Discontinuity for pixel centered at azimuth {c1}:\")\n",
    "            for x,y in zip(p,az):\n",
    "                print(x, y)\n",
    "            p[:, 1 ] = az\n",
    "            area2 = area4(*p.ravel())\n",
    "        print(i0, i1, area, area2)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "experienced-workshop",
   "metadata": {},
   "outputs": [],
   "source": [
    "def display_geometry(pos):\n",
    "    fig, ax = subplots()\n",
    "    patches = []\n",
    "    for i0 in range(pos.shape[0]):\n",
    "        for i1 in range(pos.shape[1]):\n",
    "            p = pos[i0, i1].astype(\"float64\")\n",
    "            splitPixel.recenter(p, chiDiscAtPi)\n",
    "            p = numpy.concatenate((p, [p[0]]))\n",
    "            ax.plot(p[:,0], p[:,1], \"--\")\n",
    "            patches.append(Polygon(p))\n",
    "            p = PatchCollection(patches, alpha=0.4)\n",
    "    colors = numpy.linspace(0, 100, len(patches))#100 * numpy.random.rand(len(patches))\n",
    "    p.set_array(colors)\n",
    "    ax.add_collection(p)\n",
    "    if chiDiscAtPi:\n",
    "        ax.plot([0,4], [-pi, -pi])\n",
    "    else:\n",
    "        ax.plot([0,4], [two_pi, two_pi])\n",
    "    ax.plot([0,4], [pi, pi])\n",
    "    ax.plot([0,4], [0, 0])\n",
    "    ax.set_xlabel(unit.label)\n",
    "    ax.set_ylabel(\"Azimuthal angle (rad)\")\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "unavailable-isaac",
   "metadata": {},
   "outputs": [
    {
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       "mpl.figure.prototype._init_canvas = function () {\n",
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       "    canvas_div.setAttribute(\n",
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       "            'box-sizing: content-box;' +\n",
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       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
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       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
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       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
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       "            // otherwise not happen due to the minimum size styling.\n",
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       "            event.step = 1;\n",
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       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
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       "\n",
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       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
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       "\n",
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       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 overridden (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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "under 0.000: 1 \t Above 6.283: 3\n"
     ]
    }
   ],
   "source": [
    "chiDiscAtPi = 0\n",
    "unit = pyFAI.units.to_unit(\"r_mm\")\n",
    "ai = AzimuthalIntegrator(1, 2.2e-3, 2.8e-3, rot3=0.5, detector=det)\n",
    "if chiDiscAtPi:\n",
    "    ai.setChiDiscAtPi()\n",
    "    low = -pi\n",
    "    high = pi\n",
    "else:\n",
    "    ai.setChiDiscAtZero()\n",
    "    low = 0\n",
    "    high = two_pi\n",
    "pos = ai.array_from_unit(typ=\"corner\", unit=unit, scale=True)\n",
    "\n",
    "ax = display_geometry(pos)\n",
    "\n",
    "over = 0\n",
    "under = 0\n",
    "for i0 in range(pos.shape[0]):\n",
    "    for i1 in range(pos.shape[1]):\n",
    "        p = pos[i0, i1].copy()\n",
    "        area = area4(*p.ravel())\n",
    "        area2 = None\n",
    "        if area>=0:\n",
    "            az = p[:, 1]\n",
    "            if chiDiscAtPi:\n",
    "                m = numpy.where(az<0)\n",
    "            else:\n",
    "                m = numpy.where(az<pi)\n",
    "            az[m] = two_pi + az[m]\n",
    "            c1 = az.mean()\n",
    "            if not chiDiscAtPi and c1>two_pi:\n",
    "                az -= two_pi\n",
    "            elif chiDiscAtPi and c1>pi:\n",
    "                az -= two_pi\n",
    "            over += (az>high).sum()\n",
    "            under += (az<low).sum()\n",
    "#         p = numpy.concatenate((p, [p[0]]))\n",
    "#         ax.plot(p[:,0], p[:,1], \"-\")\n",
    "#         print(i0, i1, area)\n",
    "        \n",
    "print(f\"under {low:.3f}: {under} \\t Above {high:.3f}: {over}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "beginning-retreat",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            '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",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 overridden (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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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n/gr0Ra5E+ayntiQ7ez1d8VZ6U1kfiC6tiiDi92VSPmQEl23kqhaJU65SjRtZ16zy1JyyyblBS8thxQ2MDk1ffm4sGWQT7wLMI+pxF3bRFJlD1Vdw4wcN52nlWX+NuECeCXIABKz3XTRO8GJluEZX+9zKL3ghsmtm7Uz7sdLKcyVFb3ZkLY8otry8Al1wnnnGjJXO5/7IM26dKqts8gLyiGyeubedbM9IYcKCCpPxy8zjo2+Iayw9+PdPd68stWLxzf48MDOeG4zT+BZh1S8Ag6eKXVrzi11P+ZFByXpOie8t31BsN33fGPjyEZXN6zDPAlI90dVG0bpQJzRi92VStnQdCkMrlBiq1WyUTldbF90UBJZM31MzXAKB9LVF/yZ3WmRQlp1r/5c0XnkGJq6Phr7xq6r+w9l/pYCaBAZQGI2mRg5wfH6IUa1HQyG19PnUEqn+Q+Xbrdk0TLaS/lQG9n9dVR65NC2UUvD3izK3c5a0ZOiN2cS2ZpLbHoiqY7B5G0Npn5Nor4Itm/QEtNQhM3n72L3zTKi9jkR7x1BWGGmcVbtanXYpCViHhLB1y6BfLzfh9e3efGiXTyPWqfwuqcKD3+HSyp1j1vFo8o4iOPKd/DcvIz3LBz4cI8r3x50ZVeAO25JPiTWRFJ82PiFbLYmqUmJZbqS76OVvO+j5GlbJXdYnFk9jK7KpGO8lL7jDbhml874+d+/M42/Oen4JqQU65Q6Wg6PG/vU94vI/C0F0CAygMS19uOK3vH6IUazOmd8Rma/b+UFN0xu2JtFXN2ZYhfbkCdF7zpLZGsucSVaMlNzyIvQEVaRqi9UpV8H68dD9dpYsiyCSPaNJbqywKBiF1ifh2N2GruiY1jrFczntr584JXEYg8VHwen4xXugfX7i7F66yX+dJFS95hVPKmqg1gteZmDn73J8+uceW6zJ0t2uLHigCtbPdxwywhF2aAkp8f4Bep6TX6fkrh6JQX9Z75mo1XyuJWS+VvPf3lZXV/PsdPDnJ48SWhBO49ZanjPPY8NkeU4aBqJLeuipG2Iw2Mnrspn+v5SMn9LATSIDCBxtZ3sGD2zoud41oreD6loayK7v46krlLyInRnVvTCdaSrc0gslRU9U05YpQq/WC+ytgVQtTb2vP9AqD6QTXB9Ll5h7gQWphLSVEjwoQI8ijPZnxzP5oAwvo1K47PwDL6KzcQnIRC7b5dxYOkS5q0Jv2Cpe3R/AilpTvoS+uC3XtyzNpBFG7x5TeHOJ/tcMQ8PxjVPSXStkrKBGMoGDH+IQnJ1Uj6kJKtLSUSNEsccJeZJSpYHK8nsPHPMmuiEi25xk9s0oD+3FbUO4q5tIrmqh5rukWu+/6HM31IADSIDSFxpk5OTdHZ2EhERQZCNN/Gb/MjeGEn1hhTa12fOWNErd8smoVLKneTSE12aTpJfOFk7AqnZpaJ9g5YKVx1x8TFEf7qepg2LiN3yHPlb7iduy7O4bX6b7ZtWsGrjJt7YYMWTmz2JTXTRl7q7v/XjD+tiuWNtCH9Z78uLWzxY5haCIkmJc66Sku5Icuv8KemZHQ9RSK5utJ1KAsuVHMicflL6Yz8lLxxUcs9OJf+3XklGWwqHRrNpOFLEuqis85bEPYm11+RcK/O3FECDyAASV1pGRgYKheK82W6+DXtzKwKtvMlQn/mkjMg2KYGSy0hbLlmZATR5rKN336oZq4HDW28FxT9fNK9tsGHBllj+sjuG3QfMGQh5mb6ED+nM/Jqs1G1odPbk1PtTNiireaacnJ6Zex2+7fnDXofbpy8lv+GayIc+KTxnmzKjAD5nk3lNzrUyf0sBNIgMIHElNTY26suerYcDQS5+eOxzwnbbfrabb9O/5r3FgdJgHQldhUS15bNjz25st1nhYelCgGsAYZExROZqiGyVLVok+cQ0ZZOX4k1V7Hd0ezzLyV2/15e5SfMb6VifTvvmTNqcVPR4KihwXU258mt6Uj7lSNxbFFo/S+XOB2i3uJVj5r/lofU++sk6eOe7FyyKp8z/lXd32POs3fTk7xywj57Uz2jPWUdT+R7yyl0paA8zelGRXH7Kh5RkdCgJrZzeuHpzvJJlgUr8Ss8c41ucdNHLwQ6aRv25r3/0BA6aRnx0LddsKxqZv6UAGkQGkLhShoaG2Lt3LwqFAocQdxK6dTMS364lLi+FyIgokv3jyMjPJqFbR1SD+oIrhjvMtxG404PMlDOrhcFVUgyv98Q0ZpGal0tulI4qhyyObX3inHI2uePfObb7cYY8Pqe1LIzmwQiaR34+TUfCKe8JR90YSWhpFJq03QylfMRI1KuM+z1G44676Ff8L5PmvwHFP/Pn9b4/WxbHzP+dVot5rLB34WO/6SdT/ZQHaS3YSmPNAWrbfSg7HG300mNqyemZ3m9QfdZeg5E1Sv5iqeTWzed/IMQypYTjEyNMTJ2i+fD4BT/vePio8fcblPlbCqBBZACJKyUoKAiFQoGlgzXKjqxzCuCFEt+ZTXTpdDH8ccXQZtt+tplboFAoiNjsSUFSLkldhcQcytYXQ7uzVwyjYojMl2I4VxPblEFWrhNN/ssZ3/EQk+a/pWu98sxl3U1fMKH4L446PMGA5jM66/fTfCT0kgrfL03jYCglde4kVIfjWxCFtTqalPANjIY+zzHPP3PSbh5jihtnFMGzy2LIrndmFlbFbzis+B/qt91J4Z5FbPTzYlO8EusMJdE5XtQ3OlLdE0zF0PWzp9+1irZTyR6Vkq8jp1dqn7BWsuCsTxzZlqim82g5/ccbKels0n/9DxvieXiPmiWuOawJK8NO1UBR65CxT6WXTOZvKYAGkQEkrpTWwU7s/JyJqlddcvm7aDH8YcUwLTWN1Nrp1cLQskQsLCwuuGIYttWDzNTp1cLwJh2+GXFSDGdhYhvyyI/3p9vuE4at72fS4l/OWVXr37aXNp9UWjUJtNSG0nwk7KoWvl+ams4A8ksdyVTtwi0rnF3J0XwbHkOy1wqOu9zNaas/MLXtX8/58z2w3u+8ZXFy+7/Rs/2PVO64nxzL59AcXIJVXAAOuunNkTX1oVQejjR66boWKR1UktaiJKBsuiivi1XykZ+S5+2V7FZNH1M7nIa6SXvBy7T37kjFXtWgP0+dPD1JVsNhWgfGOTXHP3NY5m8pgAaRASSuhPHTx0ntybsixe9SimFsbgqREZEEufjOWDFM2xSMLieH1O5CwopTzrqUvB27bdZ4WLoQ6BpAWFQs0UWZ059MMQsK0fWe5LIkKkMtqfCOot4yi/b1WgY3Kmbeb2f9B0ZDnudwyPe0lzvTfCTc6OXuimU4jPJDnuTkHiA9wRxV0GoUcZGsCIrhLbdYVPbvMLHn9+e9vPzTshj6Q1k8vef3HDt4O5WWj5Bl/Qppzh+RHPANvrpQomqVZHZMf6qGsUvcxVI+NL0FS1jV9H14IZVnXktqUnLzxgt/LNz3YUX6j4U7fmqCZb6FbFdW453djKqml/reUY6evLbbslxrMn9LATSIDCBhiM7OTopLitH2l16T8vdzxTC1IpOk1unVwuDCOKz2nbmU/NMkbwpEkzG9WhhclY5HeCBhUbGyYnglCl+FkoL0PTQHvcOo9e36InNk0/f6y7pde0IZO7CY/uh1tHe4GL+kzYK0DAbT1uZMVsYeNFHrUfssJ8NhCZ/6RPGKQxwP7Y0j2/KFiz7hfP96/zP3LO5+j5NWf+Co890M+z9FjuMbpHp8RnLYOtJS95BUF0le79Vfxfvxv3XdSlaGKvmbm5JH9iv505aZBW9VSAb9x5sYOdnDwLFBblofz62bElm0P533PfLYGFWBU/ohlOVdNPaNGfv0Z3Qyf0sBNIgMIPFLjY+Pc+DAgemnelWhRi+AF72UnDO9Yhjo7Iv7PidsLPaTtykWdbWOlJ58AjKif/LwycwVw/hkFTGHZLXwvGnLI6EyD21yDjVuIZxSnH8blpPb7mDAdS0teUqau6KMXrbmbIbDae31oaPJlu4yC9Qh36Jx+5gs29co3LOI5w7EcPf26T3rsvc+e9GyeN8PZXH+ViWBNp8z5vEQQyEv0qd8j/TAVaTEmKPWHiC72oeS/vNviVM6qCTxkBLvYiV71Eq+iVTyjpeSJw8ouV2hZHlwPHUjaprGcmk4UnrOSt7/bYjnod0q3nTJwSXj0IxzTM/wcSYnZ88nb8w2Mn9LATSIDCDxS0xOTuLr64tCoWD3gX3EtmQYvehddjqzSeiaXi0MKojDxc6JAxaW510xzNkYRXLp9Kqgb14CTi5uBLoGEh4VS2R+ummtGLblklYeSoPfJob2vcKgxYqz9uFLY8r8/zFl/i+ccLyT4bg36S3ZTGuXj/GLk4ml8UgENS2edNZZ0lu0kf70FaQ7vYvO6kXKdj1Ek8UCzMxj9UVMdwll8cltAezau4Ey66doqrSk4sj0R69dbKuUd91zZ5w7bNLqCchrJbO+n5bD45w8PbfvwzMmmb+lABpEBpD4JVQqFQqFgm07thNelWz8MncVVgwjws+sGJbtSyWxPZuk7hzc4/zPs13NDyuG+11JC027vlYLW3LRqf1o8lpLl9cLnNj93zNX9rYupH1TJm0HVbTGJtGtPkBLZ4DRC5Dk0lLVH0FGcyRFhdb05X7PYNpShqJfJ3/fUzRtN9P/PddtXTDzns2AxZyYGGNyaoJH92l4ziaTT30KsYirwjOrmdTqXmp7Rhi/xh+PZkpk/pYCaBAZQOJy1dbW6ouPnzbC6IXtWie0NAE/z+lieL4Vw6oNySS2FBDTno9rYggH9k0Xw0C3QMKjY4ksmN0rhjGHssjShJMTo6PSKZuWrZmcNr/lJ3vw/ZZj9g9xxPVTutX7aB4wfpGRXNn0537H1Pb/d85K4IjNgwx5/A1Guox9KjJ5Mn9LATSIDCBxOQYGBti9ezcKhQKncE+jl7HZEGWblricZP2KYXFApv61g/4uF9jgenrFUOeuIqp1erUwvElnlI/Ei2nWos13ozp2FUesH2PS/HdMmP8XHesz9Jd2x8yXcGz3IgZjl9FVu4/moRCjFxTJFchwOO1tThzWrmTc/wl6izfTPprI4WNFHGtNnC59B26HmJVQGQHjh419ChJnkflbCqBBZACJy1FYWIhCoWC/s81lbfZsqomsTSM8MpJAJ1/c9zpywMISix9WDC3MLWjclkFydxHxnYXYBbqzw2K6GHpexRXDmEN5qLJzaXI15+iOh5i0+LdzVnkmFP9Fp2sQrWkJNNfH0HxkFpQVyRVJa68PfQXrGIl4mVPWN89c2Y3+/MybfXICBg7BlDyEMVvJ/C0F0CAygMTl6Dk2QGBeDNGNGqOXq7kaZZuWWF0y0ZHR6NRnSvR+J5sLbnC9y3wHZY5afYkLqlATXnppxTChOpWKCGt6bD+mwSqJ9g3Tq3ojm5fpJ/7Tlv/DWNDTHNaspKPIYdZuuiz5BRk+s59ia48XU4rfzCh9U9v+DbxegAxL6C4z9ilGXAaZv6UAGkQGkLgUU1NTjJ0+SkpPrtEL1PUaZUcWsbpkIsPPXTG02rqHOvssUnsKSe4uwsrZDoVCwU7z7dhv/2HF0D2QsOg44jVB5MVvpzH4PYZt75ox2R/eaE3Hei3te9Lp9nLjcMga2qtcZpQEyRzPcBidjdYMqj7lmNdDjPsvonMslcHj5Rw93cOUw/3g+CAkbYT6FDgh++nNVTJ/SwE0iAwg8XPa2tpwc3Mj+ZBc8jVG4lu1JOSr0JRl679m5WSjv5R8djbuW8x+u//FzMeMhd6384jnbTzvPo83XP/Ex85/5EuX+eT6PcFI1KscSXiH0sS3cclYineVOaF1u1DW70VbtpmC+n1UtjvTOBRs/EIj+dm0dbjSn72asaCnmdj7XzNX+HbcCKeOn3lDnzxqvJOJuKJk/pYCaBAZQOJiRkdHsbKyQqFQ4BDsZvQyJJlZDGOzk4kIiyDQyQdby/0s9LoTMx+ziyZr77/ry0HU/v+86LFJlv/B5I7fctryf8h0mMcbQQ/yXsIrfOkGGvQAACAASURBVJb6Jt+kLWFb0CNYhT+FY/SLFGk+pa9gHT1lChoqt5NVv5eCXk+qBgI5NCyXlK9kWg7P3GbnmNfDM+/j3PmfEPAm5DpBX63cx3edkvlbCqBBZACJC5mYmMDLywuFQsFeW0vi2jKNXnokF09Q7X6+Vr1FU78bVb3O5Hfakl5nQXLWMiLT3sE/4TWaUt9jPOltjsa+iib4cVZGP8OHCS/zt5ineSHkIR73XMB9Xrdj5mOG9jLKYqLlf+iPTdt344zX7vAx40GvBTztuYBXPW8nyX0hR73/wljQ05SHPce2+FfZk/8VdiVrcC/bQITmYxJ0K9EUr6eq0YrWbk9aBoJM91L1UAjd1bsYSnyP4y53M2XxL/T0RjJ0oprjpw8zpbMH96dBvRNadXD6pLFPH+IakPlbCqBBZACJC0lOTp7e7HnndiKqU41ebiTnT3xnNg7BbmTUxtA3GnjF0jnoRU+PM4c77Bg8tJe6snXElnxPYNVG3Eq/wy57KZahj6MIfIi1fvdR6vMgJ93v5ZTDAhIP/pGH/e7iTt87frYsqn5SFn+aUKvf648t2Hsjj/jexdPhj/LX6Kd5O+4FvvC5mzV+92Me+DCa6FcYTPuEw5lf0qD7ioi8r4lrskLd7kBOl9v0Ze3BuXFZu73DhYH0zznq8wiTO3937qdzVMcY+xQhjEzmbymABpEBJM6nqqpKf1+Zf3aU0UuO5MJZFfota3asYc+e7XQO+F/REmhoekcCaBvyobbbkdIaBdnF35GmW05T3leM5KxiNONTSuIXszPpNdZnvM+qtDdZGvc873qZ8arn7TzluYAU6//RP7n6c2Ux5KyymL/ndxc87j6vBfgevIWTtn/ihNNd1Hk+wJehj/G15n02Zn3KjpwVOEa/iHfC3whN+4CCvO/oqt1LR5Mdze0uVPd6XfHL2m1d7rT2euv/9+H8DTML376bIfwTKPaDI+3GPkWIWUDmbymABpEBJH6qv7+fnTt3olAocInyNnrBkVw4W1N2YuZjxj2e95CoszZ64btqGfGn/7AH7W025DfuRtOyD2XDdsLK1+Gf8BouMS9gE/4ERZHPcSzsOY4HPEa+5z28EfRnno94jMeC/8y9fnfNKIHBZ68sXqQsmvmY4X7gzMff1ez6N/1l7T8H3sui0Id51fN23vW6g8+87yLS/y+MRLzMkbi3aE16D6eUt3Gv2Exg7Q6iGy3RlGwkp2Yn5c12dJdsZjjmdU7azwfFPzOq/prhE/WcnBiGsT7wfRWybaG7HCblM3PFTDJ/SwE0iAwg8VNHjhzB1tEeK1db4jvlyd/ZGucifxZ6LcTMx4xlwUuMX9LmQLoGvWnssKWiYQetddsYqrHgSOl6GrI+xzPjQ2wLV7Er5zM2a95hjd99rPBZyIdedxDvsoCJAzczuec/Kdj775ddFi+ULQf/78zTuorfQPx3xn77izlE5m8pgAaRASR+qutYP8p2LbHNGUYvOZLzJ/xQCg97/gUzHzOe9XqS9kFfo5crU0nvsD/tg57U9rtS1GVPZvNe0nTLidW8T1DS3yhOfZuxlPcYV75ObdgzrI5YxCdJf2VJ3HO8HPk4T3su4G7v6YdsNrqaQdxqqIqCo4PGfuuLOUbmbymABpEBJH40NDTE6KlxkmWz51kdZWcWL/v8FTMfM+73vJ+SViejlyLJ5WXkeB5Tk5OcnJCndcUvJ/O3FECDyAASAM3NzWzbtg2vuEDiu7KNXnIkF84a7Zbpe9C87yCicIfRy4zk0pN8aBf944lMTU0Y+y0vrgMyf0sBNIgMIDEyMoKlpSUKhQL7QBcpgLM4cZ1aXoh6CTMfMw5krjZ6oZFceqLrLTDzMWN56jJOTZwy9tteXAdk/pYCaBAZQKbt9OnTuLu7o1Ao2GdvRVyb1uglR3KB8teWSXxnFrWDUfhWrKd3JMDopUZyaSnuPsifA+/FzMeMXXm7jP22F9cJmb+lABpEBpBpS0hIQKFQsH3XDiJr04xeciQXLn+WDtZ4hzrSNTi79vqTXDytQ968EvUEZj5mfJD4gaz+iStG5m8TLoC7d+/mvvvu45/+6Z/43e9+x6uvvkpdXd1lfQ8ZQKarrKxMv9lzYG6M0UuO5MJ5028Jb9q8ye49Fhzq9DF6qZFcWnpHAvhK9SZmPmYsCl1E/9F+Y7/txXVE5m8TLoDPPfcc3t7eVFVVUVZWxksvvcT//u//Mj4+fsnfQwaQaRoZGWHHjh0oFApcY32NXnAkF863seun943zNiM8Vx76mEtxLP4aMx8zFvoupKSvxNhve3GdkfnbhAvgT/X393PDDTeQmZl5yb9GBpDpUupSsPV2JL5THvqYrTmgc+FO7zsx8zFjbdRSoxcayaWn4bA79wfcg5mPGYE1gcZ+u4vrkMzfUgD1GhsbueGGG6isrLzkXyMDyDR1HO0loVsnT/zO4gTUxnK/5/2Y+Zix2OdFeobl3r+5lrK+dA4UHWBqasrYb3lxHZL5WwogAFNTU7zyyis88sgjFz3uxIkTjIyM6NPR0WHyA8iUlJeX032kj+TuHKMXHMmFE9uRydNez2DmY8ZfPB+irtvd6GVGcnkZO1Fm7Le7uM5JAZQCCMCXX37JTTfdREdHx0WPUygU3HDDDefElAeQqWhsbEShULDbcg8xTelGLzmSC2dF+rfT9455LyStar/Ry4zk0rMvbzm6Dm9Z9RNXnRRAKYCsWrWK//7v/6a5uflnj5UVQNM0NDTE3r17USgUOAS7Gb3gSC6eXUX7uMdvIaHVW4xeaCSXHp+KdZj5mHGv/73yxK+46qQAmnABnJqaYuXKlfz+97+noaHhF30PGUDXv1OnTuHi4oJCocDSwRplu2z2PFsTUZ1CdE0qbSMxVPe5GL3QSC6e3pEAukf8ae/zJL1uF3f7Tj+w41LmYuy3vTABMn+bcAFcsWIFv/nNb8jIyKCnp0efY8eOXfL3kAF0/YuNjUWhULBjz06i6lVGLzmS8ye0MQlzm23s3LWdshoPo5ebi6VnJIDOI7609bjT3O5MY7MDdY121NQcoLbKmu46R3rap+9bLOqyJ6dpPzlpG8hOXoM2/jsyYr4mPXIV2RGr6UiyoKvImr7RQOIathFctp6Eg+8Sb/s28dZvobR8g7g9i0ne/QatjivpiFfQNxqIe9n37Mn+jOhvnyZ69ZNEr1xE9BePEf35o8R/9hhN3y+h1XX64/L25n7OF6mvE/fGfcS/dg8Jr9xN4ksLSXr+LtKeW0j94idp2vw+faOBrMt4j+cjHiPt8dvJfmABOffdRt49t5G/8DaK7pxPzcI7aHjvefpGA/ki9XXMfMzQ3TOfmnnzybx/Pg7bFzNx6qSx3/bCBMj8bcIF8Hz38t1www14e3tf8veQAXR9Kyoq0m/2HFQQZ/SSY/LpyiahU01CewJRdQmElScRXKQkMNuXNw/+mbUrF7Br5ePE7P0bcXtfJ3bXa2RZvkurw0q6Cq3pOOLL3rzl2Ea9T/Q3TxH91RNEf7mI6OWPEb3sEdK/eIam796iI3kbPSMBrEj9G+t9X0S5+F4SXr2HxJfvJunFhSQ/fxdZL95H/WtP0Oa3hr7RQF6LfooPnB5C++CCM8Xn7tsovGs+pXcuoOZOM1osP6NvNJCHgu7jGevbqZk3/4JpNv+I/tFgngx9mEcP/syx695jcCycFyMXcb/Lzxy7+i2OjEfwt9hnuMvzZ45d9ioj4xG8Hz/9+cnlCy58bNP7LzA2HsJnya9h5mNGwV0XPvbQG08xNh7A6rS/YeZjhva+n7z+wouMpKTIfYDiqpL524QL4JUgA+j6NTExgYOjAwqFAvd4f+OXnzma+K5s4loziW5UE1EZS2ShE+E5VoRrtxORuYmkKguSKzaQXPYNfkl7ORjoiq2PI86+G4iNfwhlwr0kJN1Bcup80tS3oFLfjEp9Mz4hn+jL+Tr7d1AsW3DRMtPpvY6e4WDMfMx42+JnjnX+huGxMMx8zHht18VLUueBFYyNh3K//928sP/ix3bs/oSx8QAeDX6AJ23OPbZq/nwqFsyn9k4zOrZ/yPi4P2/GPs1Lng+Q/cBtaB9cQObDt5P+yO1oHjMj86m7OLT4CbpsPmd83J8NGe+wLOYFEl+9h4TF9xL/xn0ol9yP8p0HSPrwL7R99yY93t8wPu6PS/EqtmV9SOxXi4j95knivn+auHXPotz4PInmL9Pt+CX9cZsZH/cnoX4r/hXfk2y/hJSDb5Pq/B4qtw9Qe35Mhu+nHE40ZzB3L+Pj/pR2WpPdspuC1DUUpa2lRLOB8qwtVOaaU1O4jSO1doy0ODE+7k/vEQ+6htzo7XSir8ORbueV1D1w95kC+uZbHCuTp4HF1SHztxRAg8gAur4V9FThnhhgcvv9xXdkEHsonujqUCLLvIgqcSKxwZmkOhuSavYQkO6CW7w/LlHeeEZuI0L5MlHKZ4hWPkZc4kOkZj1MWuY9pGluw933c31Rs7Nbqi9w54vvWaXuwIHlFzn2FoKiPmaX5W722ezD2n0dtt/eTtRL84l+ZT5Rr00XiJRX70W77Ena1rzFgGYHw6O+WGR9yIHIJcSufoLYb58ibs0zxK1/DuXmF9DufINup5UM5u9jfNwfv/LvCMlaRYrdElId3iHN5X1U7h+i8f6EguAVHE5WcKTGjvFxf7Jb96Cr20Fh8hqK1espy9xERfYWqvMtOFSyi+GGg4z2uDM+7k/XoBvdA270djlxuM+VI0OejIz4Mj7ub/IZ7XGnc/8yahfeQc28+YzlZBj7NCCuUzJ/SwE0iAyg61freI/Ri9glF7bOLJStKmIPxZHQGk1icxCJh7wIzg/GTxuBtzoUv2QrwpKWEp7wLhHxi4lOfoWUvMWk5rxAavYTuPh9z469u7DYvg1Hx/cvWtRmlDr7i5c6n+DpUmexzQJb+1UkJN6JMuFeYuMfJiZ+EarCN1EVf4iq7HMiMvbgk+RLgDqQkEwvorMtiMnfj7LEgYRKb1QdUai7k1H3atD0ZcyIujcddZMjqpynyPC9ZXpF7a751Fo8w3C3s9GLjeTyMtLmTI/nasbHAzl5soipqeOMJCVz4hJ2axDiUsj8LQXQIDKArj/p6emk6zJJ7LrKxe3H+9naEoisSdTfzxac7UZY+ibCVN8SlrKcKPUykktWkFL0MSkFS3AJ3MZ+Jxv22u3H1fNjkpJvIzXtlvOWL0e3L/VFzdHp50rdZ/pj7e0/QaW+mdS0P5KUvICEpIWodI+jyn0eVf5rBCVsxTnEBbcod3zjDxCZ+gWR6m+JytxETM5O1M2uqFt9UbeHkdoaT1qXGnVv+jml7WpE3ZuONn4j5U+b6S8l1t2/kG6HFYwe9jR6sZH8soy2e1C78C5qFtxO91ZzTvX2GvtUIeY4mb+lABpEBtD1pba2Vl+CQorjz7PSlk1sSwbRDWoiK8KJLHQkPGc/YdptROVs/eF+tvUkl63GLcIG+wAXbL0d8QxaQWz8gz/cz2ZGStrM+9ls7Fbp/39dXd+6aFFzdF1x8VKXfhuqzLtRZT2Ed9gaDrjaYO9tj2foViITXici8V0ik5cSpVmFum4H6ob9qA8dJK4yiLiaeBIbk0hpTUbVlXpNCttVK4LdKnReX1Lx1INniuBD91Jv8xojA25GLzSSy8tww0Gal72s/7usvfMu+vbvZ+LIEWOfNsQcJfO3FECDyAC6fgwODuLh8T7xCXcQFv4Y0cpHiU99ePp+toy7SdPcxj7Lr/Xly9Nz8UWL2oxS53axUncLTp5fTd/PZrsPN59VRCsfJ0r5LJHxrxCdsgRV+Veoq9airtlKRI4rYbnhRBZFEVMWRHyFB0n1waS2xKHqVhu9eM26dGvI8d1LxaJHqJk3n8p755GVdhdNzV8zOupj9GIjubwMZO2m6a2nz5T6++7nsIsrk0ePGvsUIuYYmb+lABpEBtD1Iycn56KFTqW+mQM/lDqLbRa4erz3w/1s9xEb/zBxyU+hKnxLfz9bQLINPsnT97OFah2Jzt72w/1sTiTW+KDujEXdk3LNLo2afLrU5NgtRbf7Tv3fZ1bWPRwKfJ/RYW+jFxvJpWdszI/DSeY0vvTYdBG83YyTHZ3GPoWIOUbmbymABpEBdH2YGB6mY2iAuJSnzil96TFPoq5zQd0RRkprIqpreD+b5MpH3ZOGumYzqoyFZFtNPyxSuWgBTf4fMCpP4s6pjI360Re2ni77Lzh+LJmJiT4AjhYXMzU5aeSzipjtZP6WAmgQGUBz34nGRmrvvofs7RYEVpYQplOi8nwFddyZe/Rydt5GwZ7vyaiLM3qBkVypIphCzsG3qbr7zD58jX99nMOJ5oyN+Rm93Eh+WYZLfKY3pn5tMWNarWwmLS5I5m8pgAaRATS3TZ0+TfPf3qBm3nxy332HwOpSAmvKCKwpI7g4g1SfD9CE30r54/OomTef0ndfQ90Rjro9xOgFRnKF0hBJ/paXqbr7zjNF8PVFtMV9weiorAjOtfRFbaT2njN/l63vf8DRkhJjn2rELCTztxRAg8gAmtsOOztTM28+FffcS2i2Rl/+ZqSiiAQPFwpffolkf3fSCj9Cpb4FVc5rZKoUxi8wkiuS9IZ4CrZ9TfWd0xsQlz39J/Lzn6C7Z6fRS43k8jLS4UrHjo+ouePMp620f7mSEw0Nxj7liFlE5m8pgAaRATR3Ha+ro+b26b3iEp0Onr/8nZ3qUgKrionXvTvjHsGMgNvRxqxE3aUyeomRGJ6MmlgKvnmarIN/0v8dF2Y/TWfGGqMXG8nlZfiQI23rllBz223UzJtPw6OPMnXqlLFPPWKWkPlbCqBBZADNTVMnT9L02mJq5s0n54P3Z1z6vZSElMej9n0SVcpZD4uE/4msoI/QtM/t/fMk01F3RKEq+QSV+lby1v5x+mGR9+6hO3eT0YuN5MIZG/NnoMObjjxnGpQHKfe2JWfTDipvu4Pae+6ic9MqSmMqSPOqpjStjc76IU4cO23sU5IwApm/pQAaRAbQ3NRvZz996fe++wnNybis8nd2wrJjUXm+jFo5/cBI/upbqXrgPvKtNxi9wEiuUBFsD6Ng9WNUz5++D7R6/nxaV7/OkWpbo5cdU8jwEX/6ugJpyfWgKsiOQgcbsnbbkLbRlubNH9G6ajFN7z+P1icIr7WpOH2pwmG5+pwULXxUfzk40z7knNf9tuSQ5FpJUVILx8ZOGvsUJa4Bmb+lABpEBtDc1O/nR9Udd5Lg5vSLy9/ZCS7KINX7PYqf+Qs18+ZT9M3nqBttUJV+iro91OglRmJ4MrPsKP7wzKeK1Nx2G83fvkpfldwjeKkZG/FlsM+fzqZgmipCKY9yJ8fSBs1WW5K+tydmpRP1Sxdz6PUnqH/iz6Q5nlvUZpa6x84qdQEzXnNalojH0gj8lgYQ+pkndauX0WPxEf12K+jK9iQ/KpaEg4n4bEg95/uOD/UwNTW9KliX10NeXBNNpf2MDh6Xp4qvIzJ/SwE0iAyguamgp4OwLM1lX/r92VQWk+DuTERaAslZz+k/6SPT514y1duNXmIkhkeb7U/JJ2/pi0fx+3+isnIJQ0OORi9Y17TMjfkx2ufBcP1BuhoDqCsMoywjgmwXT1LW2RP3lSPhy10J/NSH6uefou6Bu6mZP5+U86y+XajUaQ/647BcjeMKFR5fJeKzNJigT72J+sKVhK8daNn9NQMe33AkYhNDFV701Ycz0hnKicEgpo4GX3KO9YfQVhpBsTIWjXf8D18PYep4InG26TN+f+7fZRJjU4IuspGGgl4mJmS/wblK5m8pgAaRATS3TE1M0D02emVL3wUeGAkrDSAh+81zHxiJ/Qp1tzwwMtejVbtS8sY9pAdN/92qNX+iOustBpqsjV7OfkmG+7050uTIUIkVA5rtNBUHUJgcSVZkDMm7fYla4ULwMi98lwbivjSK8oX364taqn3YRUtd4VmlLuugL+7fpOG/OYXQDVGEf+5O3ConUtccJMvCjm6fLYwkWnA0x5LxNl+OD4QwOX7pZe5KpyYjGpVHPMHbknFaMfPysuvX6UxOHNOfX2p03dToujjcMSrFcA6Q+VsKoEFkAM0dxyoqaHzhBZJjI69+ATwr0cluaDwenfHASNZBM3LdtssDI9dB1M2uqHKfRaW+maIPb6XqznnUbH6SoXZ7o5W50WE/+hrcadU6c1i7m37lFnr9v6MqPZD0oFiS3JVEbAjGf6kfnkvDcV6WgMNyNWVm9+qLWpp9+MVL3d2PUzNvPrV3mZHv7k3ojmRiDySSsDuUpG8PkrHFjrx9dpS72DOYZsnxcjtOtbkzMRxotDJnaE6PBNNbF06VOpp0XyXpvsrp147FMHUiE/8tGWcuQa/UELqrAI1fDRXpHfQ2yxwx28j8LQXQIDKA5obJEyc49OJL1MybT/Zny65pAdQ/MJIVjcrjRdTxN1P89p+omTef8peeRt2ViLpLafQiIzGgBPamo661o+yFO87cI3iPGV22yxnt8zCszI36MdjhRWeBCw3xB6nwtaU3ZB3drqvo3LeUImUwcQ7xhO9LxHd1NK6fxuLweZq+iJSZ3Xfppe7eRdQ/dC+HXnyU8iBvEh0T0PjEo3UKRLfTlhJ7O2r9D9Ke5MTROlcmBvyMXspmSybHg8kKVhJlmYTb12nn/GxDduTMuH+wLrebjrohThyVbWmMReZvKYAGkQE0N/RaWk4XrgcfJCQvyygF8MeEFGlI3beTskceIXO3BaqKzag081GVfEpGkYvRy4zEgCLYoyHb/2vKn75LX7rqHribVruPONLnwvi4PyPD/vTWe9KkcqA62I4iJxuy99jQYf057ebv0/rV62QHhRK0LRmvdak4LT/3IYWzS53qIqXO5dN4yp5/ieY3nqZt2V+pi/EiOziOYmUs5WH+VHna0xLjSF+OK+PNPkyMXt69c5ILl8Ej7aE05kSREx5HnE0i2cFxTB0NZ+p4GqePFeK08qwnkDfrSHKpoDCxhdbKAY6OyFPI14LM31IADSIDaPY7WlxCzfzpjWCVvp5GLX8zUllMUGnBzPsE024m0+c+MjU7jV5mJAakR4PGbxeFTzysL2r7v3K76Opbmdn9Fy11Tp8l4740Er+lAdR8tITOr9+gx+JDWtTeVKTG0KCLojXTjy6NC8PVXpwaDDB6EZKcP0f7QkhwSMD3PE8gOyxXk+Rarj9/TU1N0VTaz8jhY/IE8hUm87cUQIPIAJrdJo8d49Czz03ffP7F58YvfedLdSlhpf6oQh6a+cCIvxnauG+ny4SxC43kkmNXaMFCTTI3akr5z7QiPtppQ8zTL7B0b8ZFC6DPCjdSt6yn0uF72vJ9aC2OpLcunCONARzv9mNiTFbnrscc6w+hvTSC4vgYUlwSCNiaQlFcLFPHEpg6kcNwd+WZJ5C/zST6QAnZEY3UF/Qw1DPO5KSUwl9K5m8pgAaRATS79e7ePf25rg89REihzvhl72cSneyKxvMR/QMjuj1/pOKZReR67pQiOEuS2qPGuz6MLcU+vJPtxwMZiWyp1aHt15I7kIVX7gpu1JRyo6aUOzSpLM4KZG2BO7YF4ewKy8DTToX3LhXO35y7YfG9YQXTxVFTwluBOvwOpJATHkedNoq22nBGh0KMXlgkVz9nP/XcWxdOyPbkC25wnRt9SH++O3Vigv72USZOyxPIl0LmbymABpEBNHtNTUzQ8vlyaubNJy7Ax+jl7nISro1E7fECxS9O30tW9tqLqNsCUVd+j7or3uglyNQS1eDGxzpfHs2I4n80efqC92PeLc4gdyCV3IFUMlqcsK/yJbkzRv+18yXncCoJjWk4pWvYFZzBVrsMntbmc3NmMTdqSvnAKvucyd7+CzW712rYsUfD7vw0ItoSqOyP4uioFMPrPadHgumrn34COcNPSfieZFy+UtGgi2fqRCZTp8ppraidedvAlxraaweNfSqetWT+lgJoEBlAs5uuo4WYiBCjF7pfmuCiHFL37kLp701i3rLpy8Oa+Wh9F5FR5Gb0YnS9JaJViWWFP8tzvdlSk4mmL4OMvgziS7+aUfhu0uTwZEYEn+d6s7/CG2VnwkXL3uUk53AqCT0qnHM1RMamEeKRhs9uFbarZ5bBPyQW638/79jq8NiUSsLBRHLC48hSx5JbHiMrhtdZjg+EcLgxjObCSCpSY9CFxJHknMBAcxhTR4Op00ad848Gz7VZxj4Nz1oyf0sBNIgMoNmrfeSI0QvclUxEsQNJmU/+5IGR+8nI2GP04jQXk9aVhF1VIF/ne/OSNoTbNOoZJe+JHC35A2pyB1LJarFlZa4LO0q9CG0OJbs/+YoVvkuNrj+V2AbV9IphaAYflOWwKK+AWzKLWW2hPe/lwR9XDJfmZrK7bnrFsLg5mqNDxi8zkpk5PTL95HBHeQS1mdGMdoXqX6vJiMZ19blby/yYxsJapiaPMDV1kqbS/hmvHSruM/apeNaS+VsKoEFkAM0+4zk5tK9fT1RxntFL2xVPdSnK6B2k+yyc8cCI1m0hupiDcp/gBZLUlYZrbTBW9Wc23lZVbeFWdcaM0vcf6mLuS09gSbYf26ujr3nJ+6UrhnGNaaTkpxIbN71iuM9Cg9UqDQ7L1Vit0nCjukT/Z1y1XYvDFyr8t6SQcDCREP8k/BOTyJEVw6uWyfFgxntDOHlW8e6siCDJKYHwXcl4rU3F4YuZ9/g15ucydaqWqdNtNBYd0n/d4zstITvzSXAqJzO4nuKUVoZ6xo192p2TZP6WAmgQGUCzy8TYGA1PPEHNvPmkb1hn/MJ2FROd5ITG82FUqTeT/82tZzaW7kxD3ZNm9NJlrKT1aPBpCGdriQ/vZvvxYHocv1cXcqOmlNsycygY0JI/kE52mytvp9vxqjaQNYWeuNb6oe5WGr3QXekVQ2edhs11WfoVQ/NNF34a2Xqlmod0eXxUqmV3XRpBukS668M5pdvDYQAAIABJREFUNWz8EjUXMtIRSpU6mrzIOFQe8URbJeG/JQXnldPlrjE3kanjGqZO5tNYUHjOz995ZTr+W3OIsSmhrWpAf147cew0Qz3jnDo5YcSz6/VH5m8pgAaRATS7dG81p2befEofe4zg63EF8DyJyAxHs2k1lQvvJn/FMtQNDqgy70ZdtRZNU5TRC9nVjKonnbB2tf5/q1s8WKQJOOchjRs1pdyqyeR5XSIZ/cYvZ8ZeMdQ2p5KSN71iuNM+HYutGVit0rB5/cwVUfP16TgsV+P4w4qhw/40rDxV+CcmkVsRw7Gx63/FcGIsmNGuULqrw6nPjqJYGUumv5J4+0RCtifTXBg5feyxGBrzzr+vn8NyNQ5fqKnM7NSfq0YHj1OmaqeppJ++1hGOjZ6Uff6uMZm/pQAaRAbQ7DGmzdJvpBsbFmT0YnatE1yYQ2h2OvG69/SXhtWJN6P1eYL0Enejl7Urkag2Jfsr/Pgi15tnMsO4RaPlPzTFaPqyyBvQktur5AP1Tm7S5LAoI5LPcr3ZV+FFdGsEuv4Uo5ev2RxdfyrKFhUuLenTK4alOnZtT8f56/NvP6JYm8F/akp4OGd6xdAmLI36rCj6G+bOiuHk+PSDFf2NYTQX/PBgRWgcPTXh+mMac899sOLslKY2MjU1ve3KQNcYcfZlpAfUUpjYQl1eD531Q4wcPiZbs8xCMn9LATSIDKDZYWJkhIbHpj+cPuO7b4xexoya6kIii2xRxd595j7B1JvJ9HmAjMy9Ri9xlxt1dyJrdPtYoFGdd2Xv95pCAto1+iKjag/g/7N33tFRlfn/V3a/7teyq3u+vz26rlvEkgBDFVBEEewFROwdERBQpPc2lIDSWwIhdZJMykwymfQymZrJpEzJpFMEARFFQFykSM3r90d0QgyEUO9k5nmd8z7CeJPcYz73fl4+z32ea5VgkYavxjNiWKbji0QTc9eamT/PzKhl1sbfg6Gc1ee82ixktJ4V0wws+sLIykg9Sn0u1ftTr/uI4bkLKw7vaVxUsbcmhfh5+RdcWOHOd1F/Zi/1Z39i386DbBhjJGaWjdQVLnSRNRRrt1Nt3sPOqgMcOXRC6tuf4DIR/VsI4BUhCsg72DtzFnUBgZT3709iuX9M/V40NeVkpczDFNPVI4KW6Psof/tlitKDMe4zSS53vyVvbwFhW5KY7ojmdauS7hYjsbstWPdbKN5vZopxomeRRg9TDm9a45jlikSxLR7Lvqu3BYvIpYlh9vcNI4ZzqgtZEWwieon+vCOG4xYUeja47mMrZdkqg2eD6/3bkjn+0+WN3p3+ufHvP+1SY03IJHdDNurFeURNabqwwp1rpv6ki/pTm9m3fWuT84uYfM7CiqSt7Dln77z6s/XibRs+iujfQgCvCFFA0nP60CG2PNqX2sAOpGlU0ouXFyYtJwRjZB+c7wVQFxBI9cO9MOzKwLBlMYbv9ZJIX2R1MO/ZYuhjSuduo6PZyF7QNotHNtI2ryR0cyz67zIkFx+Ri4uh6Wtdkw2uh8UUeTa4bp/tanGD6+WpDdvVVO5P5ciBJHaVa5ovrJjdsLCiPDvz11emmdj3VfF5R/M2jjWhnFdClWmP555x6sQZvqn9USys8HNE//ZzAbRYLAwcOJC///3v3HDDDWi12kv6elFA3oGpupyc0GDJRcvbo7boMU+djG7JInLdCxpGBi09sKhex7gt5apLnv57E0lfp7G4IobhpUls3GnF+IMZ8w8WVhR+2kT47jMW8qxFzaelUayuUZD/vfQyI3J1xTD7ez0bNxsJSzGQFFFA9BI9G343Yvj+yiJPTXyQ0/xtKOfGqtrmuQf8cvQURcnbqDB8ww73fvbv/pnjR8TCCsGFEf3bywTwxInr+zxFTk4Os2fPRqPRCAFso2z/6UfJxaotRuNcQb6pZ+OCkez2FCqexOSOvGzhy96TyYrqOD4tjeY5i4oHjJYmkje22kbpQT0lB3Vk1c7h4+JovqyMQrMzWSzS8LMUHdAR842RKbWFDDCUst5o4stEKxPynZ56GVa6jYQFpWJhheCaIPq3xAKYl5fH0KFDad++PX/84x9p164dt912G/369SMoKIi9e/det3MRAti2+Nlo5Ie0NNRbqiSXqTabWgfZmokYEwObLBgpjH4EizWmZdn7Np/gugTCdxZ6PostHd18kYbBwSOmDN63xRCyPVdy8RCRJrYDOhL2GJi52cpLjlLuNbua1Inlx8bn7nYdP8FXx34Ro3eCa4ro3xIJoFar5cEHH+TOO+9k2LBhbNy4kYyMDAoKClCpVMydO5f+/fvzpz/9iVGjRrF///5rfk5CANsOpw8dYuujfakLCCRnwzrpRaqtp6acrOQ5mGK6oDe0p2jZ/Q37Kb73CqbtOeR/pyd8axIznNG8YY3jIVM2dxkaRmpecxRSdtBC2UEj5top9DGl8bo1jpnOSKK2KjGLRRp+meIDDaN8v/195mZrs/85eLCwiqFVOwjfs5/vT5yS+rYi8DNE/5ZIAHv16kVGRgZnz7Y8hP/tt98ydepUVqxYcc3PqTUCeOLECQ4fPuzJnj17/L6ApGDPhAnUBQTievppEiod0guUDyUtaz2FE9+mtkNH3C89T+5W9Xm3X/ktz1iNFOz5remLaVx/TfEBHal79SzYWsjr5SUEFLpYtt3Gtp8r2ffLHsp+Okh7SyXvVGwnZPcPVPx8jDNihE8gIUIAvewZQClpjQDK5XJuuOGGZvHnArreHM7JoS4gkNoOHUnNTJVcmHw1yWYdMSuzSIka8esiDStPm5P5MDn6vCL4z3wXshwn77qLPVKQbShgqdFMcKkRVZ0e417pRUXk6sX4QwFLvrLwtruETlZns5qYuHm357o9W1/PKbGdisCLEAIoBNCDGAH0fk4fOMDWhx+hLiAQw5xZkkuSL0e1PongT/Rs+Cybhel5KLe4iN9WTnikjWc0dh7WOuiY6eQeXXmTpj+gpJyCb+2Yvi8jdIqRe3OaPuv17zwXnTMc9MssY2xNkUcm8st0RDoMpGzWYxYrgL0yud8XoP7W0Pg722dq8ru9x1TBYNc2ln79HbZDR/jljFikIfBehABKJIATJ05sda4X4hlA76a+vp49Y8dSFxCI87nnSKh0Si5JvpqkLB2hwzMIHmUgfpyC+G3lLSaiysWKYgfzipwEVTd8ptzqYuPqQnprHQRmOvlHQXmzEaInS12YviuhcJ+N0CmGJrLYPtdFtwwHT2jLGJJdwtwthY0jT3U6Mr8qwLpPeiny5eTvK2DVDjPDKovpaWvYq/FFRznfHvuaI6f+y9n6s4yu2UnQ9r2YfjzM0TNiTz1B20H0b4kEsH///k3y5z//mVtuuYXu3bvTvXt3br31Vv7yl78wYMCAa3oeR44cwe1243a7ueGGG1i1ahVut5vdu3df/IsRBXQ9OV5V3TD127ETqdnpkkuSz8ZRRtSwBIJHGYgepiS+suSiAtiaxG1xEVbhZLnNwewCO58bHcyqbJTFDQstBGQ5+bu+uSjeaXTzdJmLwn02bD8UEjq5QRbv0pdzf46L7ukO+mvLGJJWzIi8IlbuMHskxvqNDtsP0stUW8rnNUU8UmznLmPT38VdRjcDndvE6lyBTyD6txdMAa9cuZJBgwZx6NAhz2eHDh1i8ODB13zxh8lkOu8zfUOHDm3V14sCun7U19djSUshf+Uy6SXJR6OsKSd+VATBowyEfpxOoq7gqsjfpYpiaLmTL612ZursfJpp54N8BxPcjbK4fqrpgqJ4p9HNM2VOivdbKd5vJHSynvuyXTyQ7eShdDtPact4La2YkVlFzDRZiN7d+B7h4gPSitf1jmm/jg07TUyts1JyUEfpwQKq/1vGK64qz3/Lx0s3M3PrHrL2/8SPp05LfRsQCK4aon97gQDefffd1NTUNPu8urqav//97xKcUesRBXT92PzjfskFydejlkc2vGXhkwJUm1TXXf4uJbGbXWxwOVlSaGd6vp3RmXbe0doZmOvgE9evsrjFxZpPDS2uYn7O7qDkgJGSAzo2TdPTNc1B7zQ7z2hLeTO9mNFZRczSF7K6zIR2r15yabuSWPbrCNtlYlxNEf1L7fzD1CjRm3/+ntNnG7ZiMR48jHbfIX4QW7MIfBjRv71AAG+77TYMBkOzzw0GA7fddpsEZ9R6RAFde44UFnJw+3aSNldKLki+HK02mfKuvYl/IxjVjAjJBe+qiWKdi/UOJ0FmB1Ny7YzMKOOtVDsvaOw8nuPkfcevsrjZxZoxLcvi83Y7Jb+OEkYH6XlCU8bz2lLeTi/ms5wi5hosrC0xkVBnwOhl084zNlv5p6n5qGkPWw2f1+1i1/Hr+xYmgUBqRP/2AgH84IMP+Ne//kVycjJ79uxhz549JCcn85///IcPP/xQ6tNrEVFA15ZT33/Plp69qOnajdQsreSS5MvR5GXiHjCAoo+HotzilFzcrneUW11EOxwsNDmYlGtneHoZb6TaeU5jp0+qg855Ll6zNxyn3upk9UVGFp+3l3nkS7lGz+DUEt7LsDE2x4rcaLkmW+MUHdAR942RaXVWXnCUEveNEfehIr4+UkfMnq+50+imc1E1o2t2otx7kJ3HT4jn+QR+i+jfXiCAx44dY8yYMfzpT3+iXbt2tGvXjptuuokxY8Zw9OhRqU+vRUQBXTvq6+vZPXwEdQGBOAYNJL7aJbkk+WKU1W6is+ykfFVNoruIxAqb5DLm7VFucRFhLGNijp1h6WW8llrWZGucf+rLGVRaTvIOF+k7Li6Lr7hKPRKniipgWIaN8blWFprNbLQb0Ww5/9Y4tgM6EvcYmLXFyiBnKe0tTbfcWfn1Hs/19PPpM2w9Kl6vJhD8hujfXiCAv3H06FEqKyupqKjwevH7DVFA145DKhV1AYHUdO5Mii5bclHy1UStKiB4lIHwsCLJxcqXErv1V1msc7EpvZShaXaGpNp5SmOnl9ZBYFbj1jivlJWTsctFzk57i7J4n87FR5WNG21H7zY2O+Z+SyUfVO4g9Jsf2H7sF6kvY4HAaxH924sEsC0iCujacOrbb9ncvQd1AYHovlgsuST5alRfxDUs+hhlIDq7VHJp8rfEbXERXuNi0+ZfZbHWRYiymMEaOwM0dh7SOngwy9VkxfOrJS6UMVa2/7SD/546QidrNW9XbGfdrn2UHz7GafG2DYGgVYj+7SUCaLfbmTp1Km+99RZDhgxpEm9GFNDVp/7sWXYN/Yi6gEDsgwcTX10uuSj5YpJUWWwYkUPwKAOJE8IllyGRlkUxtNzJUoeTxSutBI8ykB9eDSDepysQXCaif3uBACYmJvI///M/vPTSS9x0000MHDiQgIAAbr/9dj766COpT69FRAFdff6blvbr1G8XUvS5kouSLybBVkTEMDXBowzEfKxAWeuQXHJELp6ISFvDHo2fmzj47RGpL1WBoE0j+rcXCGDnzp0JDg4GGraE2bFjB/X19YwcOZJ58+ZJfHYtIwro6nP6xAmK580hf8VSyUXJF6OsdhE3PKrhub9hGhKsJsnFRuTiic4u9UzXb7Pvk/oyFQjaPKJ/e4EA3nLLLezcuROA//u//6OqqgqAuro67rrrLgnP7OKIArr6VO7/XnJJ8uVkzFpJ8CcFhIzMIylBK7nYiFw8sSUOgsc2yJ9VvU3qS1Qg8AlE//YCAbznnns80telSxcSEhIAKC4u5i9/+YuUp3ZRRAFdPY5XVnLwyGESNksvSb6a1EwttYEdKOzzGuqgKMnFRuTiUda42DDTRPAoA6krXJw5c1bqS1Ug8AlE//YCAXznnXdYuXIlAEFBQfztb39jxIgR/Pvf/xaLQPyEE19/zeau3XAPHEhSqVVyUfLVKGvKMS5bjGXi55KLjUjrElNoZ+N4E9HTizh2+KTUl6pA4DOI/u0FAvjjjz+yd+9eAM6ePcvSpUsZNGgQEydO5NChQxKfXcuIArpy6s+cYefb71AXEEjpm28QX+uWXJR8LcpKN2FrilA5KyQXGpFLS/buzfz4w1F+2CXuMQLB1UT0b4kF8PTp0ygUCr7//nspT+OyEQV05RyMiKQuIJDqbt1RW/SSy5KvRVlTTszUhhW/G2aaUG5xSS41IhePcouL5O2VHD4pNnMWCK4Fon97wQjgzTffzK5du6Q+jctCFNCVcWL7djZ37kJdQCC561ZJLku+GNXc6IbVo58UEJNXLLnYiFw8sU4HG2aYcNp3S32JCgQ+i+jfXiCA/fv3R6vVSn0al4UooMun/vRpvn7jTeoCAil5520x9Xst5C9KQ8jIfIJHGVDNjJRcbEQuHmWdi43zzASPMqBeYqdevNlDILgmiP7tBQKoVqtp374969evp7i4mMrKyibxZkQBXT4HNoVRFxBIVfceqK1GyWXJ15KoNxH2sZbgUQaUIyNRbnFKLjciF5G/rS7C1je86SNiUiGHDx6X+jIVCHwW0b+9QABvvPHGZmnXrp3nn96MKKDL59hXX1E+aBC5IesklyVfi9LtIGZYLMGjDEQOSyLBaZNcbkQunqiUEoJHGQgZbeCb2h+lvkQFAp9G9G8vEMBdu3a1GG9GFNDl49z3bcN7fsXU71WPftJ0Yt6NYuOIbJLSsiUXG5GLJ8ZiJ/jThs2enbk7pb48BQKfR/RvLxDAtowooEvn9P79/HDsiOSS5KtJKiui8pE+VHeQoQlRSC42IhdPXIWTkMlGgkcZyNlYRX29eO5PILjWiP4tkQAWFxe3+tijR49SU1NzDc/m8hEFdGn8UlfH5s5dKJo1o2H0zwuEyZeirGwYTdXazeQGr5RcbERaF2WdC3W4E+W8Ek4ePy31ZSoQ+AWif0skgPfffz9PP/00KpWKI0eOnPeY2tpaZs6cyV133UVsbOx1PsPWIQqo9dSfPMmOlwdTFxBI8dAPxdTvVU6cu5wN000oFCVir782Ft2ebZytr+fEsVNSX6YCgd8g+rdEAnjq1CnWr19PQEAAf/zjH+nYsSNPP/00AwcOpG/fvvzf//0f//u//8u7775LdXW1FKfYKkQBtZ4f1qyhLiCQyl69UBVbJBcmX4qy2kXsyJiGzZ6nmoirEit+20Jiiuxotldx/LQQP4HgeiP6txc8A+hyuVizZg0TJkxg1KhRzJ49m5SUFH780ftXwYkCah3Hq6qp69iJuoBAssNDJRcmX0vS5IgG+RuRS3yWXnKx8YXEbHYRWe1iU7mTEIeTcEejVEdvKSfIYCcoq4wFaaXINaXMVZUwJ6GE2bHFLE0s8RwbtqWcCVHFzFhtZcYKKzOXWpm1pJDZiwpZ85mBkC9LxbSvQCABon97gQC2ZUQBXZyzJ06w/aWXqAsIxDZ8mOSy5GtRr00k+JOChs2eg9r2oo+YzS4iqxqla12Jg1VWB5tKHZ5jNm0uZ35mWTPpmhldzMwIG8uTGuVrTV05k9cXMXOplZm/Stec+RbmzbUgn2Xmiy8LPccury1n1iwzqz81sG50w2rcc7NysgnVtgpUWysIrq1g1gxzs2N+y+pxRrSba9DW1RBdVcWUuZYLHvvFQhtnz5yV+jIVCPwO0b+FAF4RooAuzg8rVjRM/T78MEmlVsmFyZeSmJFP6PBMgkcZSPg0/LKkK3bLryNd7qbStdxkZ2mBnU3FjfK1rsbFPPWv0hXXKF0zQm3M2GBjVXKjfAVVl59XuhZMN7Noqomlq6yeY2dVlrN8rPGCkrRsngX1tkqSt1ayuKqCL8Zf+NjlM81oa6vR1lazyl3FgsmmCx67YoqJVFc1Gmc160urmDP9/FK3brSBFZNMqIsrURdXEmarYPwSKwumm5HPNDNvjoU5cguzFxQyK6iQJcuKPMfG2SqYGFXKzOBiZm0sYXZYCXMjSpkXXcoEZRnBFje2Lbv477Ff2Hn8BIaDh8UqYIHgOiD6txDAK0IU0MU5oFJR060bWdERkguTz6S6hPToBU0kZb2qyCNUM0qdTaVrRoN0LZlkYul4Iys2NB47tsR1QUEKHmVgxXIrKVsr0WytYqqzouVjFxeiralBW13NXGcVa8Zc+Njl8yxoHNWk2KtYYKtk6ThjM+la9amB5Z8bWTq/0CNUq4oqmLawsJl0zVzSML26NKTYc2yErYJpUaXM3tQoXfNjy1gQX0ZQop1gjcNzbLytgnV5LkLyXIQVlBNlLCfO7CbR6vYccy2TXFLFG6W13Gl0M9i1jdKfzr84TiAQXB1E/xYCeEWIAro4xXt3k1RaKL00teEklBeRnrGKtLLp5BS+RIH+Qdy9OpH06kqPMM1fZSO1qpq0qhrGm90titrKpUUkl1WhLq1iksl9fukab2TJRBMrVjaOZi2yVjBbXuiRrlm/StfMFUXMXFXE6uhSz7EbiiqYHXWOdCnLWJRoZ4nazpcaB2HZzibyFaZvkK5Yi5uE6yRd3hSVrYJ3LG7+YXRz5695t2IHVT8fk/oSFgh8EtG/hQBeEaKALkz9qVN8e+Sw5PLUFpNQ6SAtORGDfA7OwY9R2ymA6l4B6PXt0RsaUjqmC1FDx/DpgjzeWGejr7KMPsYCvrAks85czvyYc6RLZWepxsEKrYPVGU4UBS6PeCiL3MSa/VO6vDGbbBW8anHz93NEcGTNTrYf+0XqS1og8ClE//YyAfzll7Z1kxMFdH6OORxse/Ip8lTxkstUm0itA3VFIsYV7+N6pQc1nTtTFxDYJNW9O5CvfZcM8wpSLXmkWCpIKawkwlLBWyY39xhd3Gl0M9EwgTzjs2itEahtFZILjcjlJbioghfNjRK4bMdeqS9rgcCnEP3bCwTw7NmzLFy4kLvvvps//OEP7NixA4A5c+YQEREh8dm1jCig5pw9doyvnnmWuoBArGNGSy9X3pgqOxnqlVjmvkFOwSsUGDugN7TH/tkDHuGr6vkwJe8Pw7AwiEy1ghSzm5TCygsmylzIMGMsmYaunlHClcbRyC1qkorE6F5bzaqiCl4yu1Hba9j23QHOnD3L5qPH2X9S7B0oEFwJon97gQAuWLCA9u3bo1Qqufnmmz0CqFKpeOSRRyQ+u5YRBdSc7xcuoi4gkIpHHyXRUSy9bHlDqhxo0xIoWLyIknfeprpr4wifdd196A3t0Rm6olcMwSIfSlZirGeE71KjsVjIMk0m39CJXgYtdxrd9DRmM6vQRJIYEWzzyXTW0a+4hnvNlXy54zsOnz4j9SUvELRJRP/2AgG877770Ov1ANx2220eAdy8eTN33HGHlKd2UUQBNeVoSalHbDISYqQXL6lSW46qMhWtfSHGkOep6RrYbEq3pnsgjjcfRhc+nlRLBimWlkf4LjVJZisfG+P4t6HYM43Y1eRmmrVCiGAbTqStgl6mxqnhgMIq1u/axzGxl6BAcEmI/u0FAvi///u/7Nq1C2gqgLW1tdx6663X/OeHhITwn//8hz/96U/06NGDwsLCVn+tKKBGzhw5yldPPkVdQCCFn4+VXsKuZ2rK0WRrMAW9j+Pth7F+2ckzDWuOu69B+Lp1pOzN9zDOXUKmMp0UU/lVFb4LJdZs42Ojnv+cs6igq1FPkDkWta1ccqERufSobBXMslbQ9RwR7FxUTdS3Bzh5VoigQNAaRP/2AgF86KGHiIuLA5oK4Pz583nssceu6c9OSkrif/7nfwgPD6euro7x48dz6623snv37lZ9vSigRr6bJ6cuIBD3Y4+R6CqRXsqusfBps8IxfPk5to8+pLJXryaje873HqDA0Ilc4xtkGueTE7ueFJPzugjfBUXQUsFwcwX3Gu0NiwoMb5Bv7Eta4WrUNpfkUiNy6UmyVTDZWkGHc0QwZ/9PUt8KBII2gejfXiCAGRkZ3H777Xz55ZfccsstLF++nBEjRnDTTTeh0+mu6c/u3bs3o0ePbvJZYGAgM2bMaNXXiwJqoP7MGXaPG09dQCDpvrjyt6YcdUkKqY6lZNneR5fdjdrAgKZTup274hzyBNbpb5ITu5YUy/UZ4bvUxJlLmWKMIt/QzTNKOcM4hSnmBBKKnJJLjcilJ8FWwdjCCgaY3VjqvubQkeMA7D5+QrxVRCC4AKJ/e4EAAuTl5dGvXz9uvfVWbr75Zvr27Ut+fv41/ZknT57kD3/4A6mpqU0+HzduHP369WvV97hWBVRfX8/JkyfbVIxfbyU5LYW4KmfbT6UDlS6b7DUrKRr2LOV9ZDhf6kC+7kFPHIM6UfZKLwzTZpIRkYS6oAy1ydV2YiwiTT+fVN1jPKgz8Y8CB7ICHeNMFuIsTpIKXSJtOLrqbXQ2l/NiSS2mfT9Kfn8QEbmSXIv/kREC6CUCKAV79+7lhhtuwGazNfl88eLFPPjgg+f9mhMnTnD48GFP9uzZc00K6OTJk8jlchEREREREb/PyZMnr2qPBSGAIASQ4uLiJp8HBQUREBBw3q+Ry+XccMMNzSIEUERERERE5NpECOC1QRIBvOOOO/jrX//aqlwrTp689Cng6zUC2BamgI8fOEDdE/2p6tiJgtkzpZ+2vUgSzToyQ9Zj+mwMziceoapjJ6o6dkKf0DClm6cLxLi8P5bxg8kOWU1yXrH007QSJN7oZLzBiazAwj26MhS6J8jV9URrlJNkKZJ8alPk0rPB4mSI0cE9BQ7+UeDgXwUOdh4+Ivk9RESktRFTwNcGSQRQoVC0OteS3r17M2bMmCafdejQQSwCaQV7p02nLiCQ8gEDSHDbpV+o8bskVptIcQVjXDuEyn4dm+3DV9shAPdzXSiIHk6aWUGKpVTyBRrelCSzk6WmKPINfTyLRT40fMloUxwxRSWSL3wQufSsK6rgObObgYUVbNm7nxMnT7Nj3xEO/LdtvYJTILga+HP//g2/nQKGxm1gIiMjqaurY8KECdx6662efQkvhr8W0M8Gw68S1QGtNlly2Yuvq0BVXEB+yESKxzyFUdEoLUUrG/bhqw0MxPXsixR+PpW84ChS84ySS1abiMVFunk1sYYsn9qZAAAgAElEQVTB3GVwcqfRTXuDlY8tDhRiQ+k2kTCjmxmpDoarHQxW2+mrcdAxw8ndBeXcm+Oim76SM7+OsBz96QS1RXvZt/Mwp06Kt4wIfBd/7d/nIrkAnjulem5+/vlnTp68+vP+vyckJIR///vf3HTTTfTo0QOLxdLqr/XHAjp96BBb+z5GXUAgphlTpRO+klxywr/APGkCrmeeaTK6VzbxAQoM95FneIrsnE8pWDsdba5eeplqw1GZy5llSqSbIdez59x/jG6GWtxEF5VJLjn+mqQiN2EGN4sznYxPcfCeys7zajuL0xyeYyZrnZ7f2fnyXIYTQ341jtLtWNI2EzzK0JDRBpTzSsjdVIU962t2uPdz/Mi1vycLBNcDf+zfv0dyAbzxxhtp167dBfOvf/2LefPmcdYLd7j3xwL6dtJk6gICcT39NAkV12/qN6G6iJTyMNJLx6FPfLzZPnx1AYFUPNmdktHPkB8+F42lSHJp8sWozeXMNJXR7RyB+LehmOXm5STbrJILkS8mvtDNmrxyIgxuz2cLspx0Tndyj678vFI3Jt5Odo6bzDQXq5PsdNc6eTrJztvKMsbFlRGkLCM8yU6axkmW1uWJOqyUiFkWNnxubBTBc7LF/r3nXnBgzxGqLd/y3fb/cvL4aQnvSgLBpeOP/fv3SC6AMTEx3HPPPcyZM4eMjAzS09OZM2cO//znP9m0aRNBQUHccccdLF68WOpTbYa/FdDpQ4fY2n8AtR06ok3XXNtn+JzFZMZGUTRhEO5nO+MY9qBnWldf0J6abgFU9JdRNOpz8ldvQpttlVyO/ClqSwWzzRX0NBq412AlwyCjwNCRTMsk1EUWyaWpLSbC6GayxsGHajsvqu08onHwYJaLu/QNkjc6yU6WrYbswhpWpp8jfoZyHsxy8kiKg4GJdj6KK2ON0t5E7C4n6UkOksNLiV9lI3pBIZummNDG29HnVWEv2U6uorKJHMbOtpG9oZLS9B1sd/3AiWOnpL5lCQQXxN/69/mQXACffPJJVCpVs89VKhVPPvkkALGxsRfcmkVK/K2A6uvrMdRWkRUdfvVH+GpKyFHMwzp5MI6BL1HboenCjao+AeQbHiPbNJp0cwjavDzJJUikkmSzm02mGPIMT6M3tKfA0J4nDPF8YIwjosgsuVR5SxKsboJ15cxLd/JpsoM3VXaeSrYzNdnecIytki9yzj+ad6fRzT26cj6OLWscqUtxIlfaCU20k/q7UbzrlaSQEiJnW9g47vyjhd993fhaum/qfqTS+A3fbj3EL0eFGAqkx9/69/mQXABvvvlmtm3b1uzzbdu2cfPNNwPw9ddfe/7sTfhbAW07dODqCV95IZmaL0krnUpO4QsUGB6gsv+DTad0H3uCkuFvYVw6lvQ0reSyI9JCLBWkmSNZaxzVKC3GMt60lLPJTxaLKMxulme7CM4r93y2Mr+cDplO/q4/v9y9GW8nJ9tNZqoTZYqTXhoHLyTa+UBZxuS4MpbF24lRO8hIlUbyWj1aqHKQHFFKwupiFAuthE0zk6lxosuppNT2FSlrHE3kUDGjiMz1FRRrt7PNvk8sOBFcd/ytf58PyQXwgQceYPr06c0+nz59uueNHA6Hg7vvvvt6n9pF8ZcCOpybx3fx8ag2V16+8FXYSVfFY5g7G+fLj1PbKYBaWQD6vPaeqd2SKV0p+6gf+i8XkpZmkF5qRC45yWY3S0wp9DWmeSTnH0Y3r5ndbCoySS5pVyPRZjefpzh4R2XnGbWDh7QO7s11NUpdop2sohpyLNXE5TXK3t0F5XTKcPK42s6Q+DI+iStjxVWYqm0LSVxbTORcC6ETTM1HC0cbOPzTcc/9ZkvJd7gLdvNN3Y8cOywWnQiuDf7Sv1tCcgFMT0/npptuokuXLgwfPpwRI0bQtWtX/vSnP5GZmQnAhg0bmDhxosRn2hx/KKDT+/ezpffD1AUEkhuyrvXSV+tA7Y7HsPYDXC93p0bWqdmijaqHO6BLeIcM8ypSLTrJ5UXk6orgYnM5j50z2nW3wUGwaTYpRTrJJe5CiSt0szrXxUytk5HJDoao7PRLcTBc1TBVm1xcSaSp4oJTtf/JdfFWXONUbYbWxZJ4O1FJDtK9fBTveiVD7SQlqoyEtcUogqxEyQvJ0rrQ5VRSUrSNuPm2JoIYOdVK+lo3RSlfsaXku2uyKbDA//CH/n0xJBdAgJ07dzJ9+nSGDBnCK6+8wowZM9i5c6fUp3VRfL2A6uvr+Wb0GOoCAnG+8DzxVc4WRvhKyUpaRuHs18jLHEiBIbBhVG/G/R7hq+zdh5IPhqMP+pLM5DhSzG7JRUXk2ucLSwX9jVn0MGSgM9xHgeF+ss0jiLfmXXfBSypyE2Fs2DZlWbbL83m42c392a4Lit3TSXayMss9Uvd4soOXE+wMjytjRlwZaxLsJCULwbsaiV9lI2peIaETm48WRkwp5PixxlFBV94uXHm72FV9kKM/nRByKGg1vt6/W4NXCGBbxdcL6L9padQFBFLTqROa3Iym0ldlJy01Fv2iBZS+9SY1XTp7RM+25H70hvboDN3RJb2BecEwslRxpFgqJJcREekSb1KRa3wVvaE92YZAAg0GXjEmEmzNvyayp7S6GZ1s53WVnQHJDrqmOflnfuOzeE+r7GRba8i1VJNtqPQ8p/fP/HK6ap08pbLzZnwZY+PKWO4nU7XeloxkJ5roMhLXFROz2Ersl0VkaV3kZVVgK9xK2ERzU0GcVIh2lYtC1Va22fdJfQsVeDG+3r9bg1cI4E8//UR+fj5xcXHExMQ0iTfjywV0at8+tvTsRV1AIPpF84mvdaGqSEFrn48h8gVqugY2m9Kt7tEBx9uPULBxHKmWLCF8IueN1qwmyDjbI2J3GV28YHaztqj1i0WiTG6WZruYrHEwVG1noMpOH42DV5MapmpTiqtILaq84OKLB7JdvBxf1kQ21ibaUbaBBRciDclMdaJcYSNaXsimSc1HC5MWl3H0aOOooCVxK47snXxdeYDDB4+L0UI/x5f7d2uRXAAzMjL485//TLt27bj99tu54447PPnrX/8q9em1iK8WUH19PbuHj/CInfP1XhTP6ehZrGHUtm8Qvu4dKX3rA4zyL8lMyCTFVC65XIi0nawxZfK8UdX0rRRmJ2sLc0i0utmgK2d+hpP5ac7GKVxbBe1zLjxV2yPVQWZ6oyS8nGjntfgyRseVIY+zsyHRjiZFCJ4vJiPFiUZRRuL6YmKXFJGwppgsrYvcTDeWgrpmghg2wYJmuRNzwhZ2uPdLfdsVXGd8tX9fCpIL4AMPPMD48eM5duyY1KdyyfhqARUb4pqN7rkHP0iBQUau8S0yTYvITtxEiskluUSItP2stlTwnOnCryrroXagS8pBpy4gJ69hW5U7jW7a57joqXHwfKKd95VlTPKjVbUil5YMtbPJhtbBo5vvW1igqKXKtEfq26/gOuGr/ftSkFwAb7nlFnbs2CH1aVwWvlpAUy1TUb7YoWH079UHKZlxP2bFfaRoB5KYNouk/DTJpUHEh2J0UBDxKTEpTzHYsJ6+hiTuNLr5e0E5HdKdPBldivvplxpeQditL0ET9WwakYBqeDiazyJIm6VEE1NGhliEIXKRZGqcxC0rInKO5bybV6csd3D2rJga9gd8tX9fCpIL4JAhQ877JpC2gK8WkG2vjYfCOtElqhPvx3dDV3B/42vYfk12ThdiEidLLw8ibTcGOwXhozCqG1/zZ8i8j/x1Q9i0RI1yRRGxQYWkhBZT/swgajp1pujhl8/buH+LcrmN0vdGYX9zGJZRs9FOiiZjkZrMUB2ZKWJ00B+SrnaQEllGwppiFIusxP26cESXU0mxdSuh45o+Lxg9zUrGOjc2zVdiKtiP8NX+fSlILoARERH861//Qi6Xk5KSQnp6epN4M75aQPX19cgUMk8WJK4kKX0dKs0w0tL7oiu4D72hPZGKCWTYatBYq9CaNaSkvUFCmhxVQa70ciHi9dEv+RKj9lfxy7gP87oh5CjzyE62nz+qUnLC8shYqCJtUjQpo8JI/CiC6JHJbBjb8Doy1Tob1T0aFi/ZHh7UpNGHjMwn4uMUIudYiFlsJSWqDP2qePJD08lWFUsuLiKXH+VyG5FzLGwc3/y1dIqZRfzyS+Pr55y5O6nQf8OeLYc4fkRsNO2v+Gr/vhQkF8Abb7zxgmnXrp3Up9civlxAkdWRyBQyekb0ZObSOSTrnKQaK0k1VpJcUERi2hriUjMaPjNUkFUwvckIYWZWd9Spr5OYtoCkgnzJZUNE+mgMJWRlLCLF4iajsJq89FJKJzyMed3r5MTrLix+rUxmYhmZiaWY5odgHT8f/dA5xA2NJuIjNSEjdc3EIHlDKdUP9aYuIJDi3i8RNkxLzNA4EodFkDImnNRZCaRElZGe5CBTrAyWNL+9ai5+tQ3FwsbNowtyqyi1fUXM3KabR8fMtJEVUklJ2na+cv4g9e1U4IX4cv9uLZILYFvG1wvoh8OHWLRsKXK5nLUbozwCeL5o8uJQaT4gPeMRCvT3NZsyjlCubJQBi1gt7E/RGGzoN32AUdPwKEF+7oZGcVOXXbH4tSZZCcVkrcshbWkmiauLiFtiRRtRhHvA81R37YH+iY9anFpOXFeM68XXcAx5H9Pw2aSOjyJ9XgIZ63PIVJVKLki+mPjVNiJmW9g4rvmoXsgYI8ePNo7ebS75jirTHvZ+9RMnjp1q4a4mEDTg6/27NQgBvAL8oYA0xTbkcjlyuZxQdVqLEvhbUnRmErXLUGneIz2zN7l5gSiSs8i21ZJhqyE9fygZWT1Rp75NQvoSVAbx3l9fjKbAimHTuxi1jc+QGlPvRxe/8LpIX6ujLiM7ykDGkhTSpynQjAkjaVg4ijEaz5Ri6oZCz4p4Q7+hTYXkkwLCRqQTMdOCYpEVjaIMY9AmdOuTyVZaJBcpb0xmqpO0RAfJYaWe1blh08xkpjox5FdjL9lO8kp7k//OcXOKyQmtoizza3aU7+fMqbNS3x4FbRh/6N8XwysE8OjRo2RnZ7Nx40bWrl3bJN6MrxfQmbNn0G7V83HM5wxaN4hekb2IyTW3SgLPjTrfSkqBy/P3nLxeTUYHC/TtycjsjSr1XRLTl6EyOCSXF5ErED9dMYbQtzCmNY4EGzX3Y1r3ATkJRumF71JHD1VlZMUXYVwcTuHkJeR9HET80CiihiayYUROs9GptDDbObL4IaHDM4keGk/CR5GoR4WTMktFckQp2ni7300tJ64vJmKmxfPM5u+z/9ufPfef3bUHqSn8lu+//i8nfzkt4Z1Q4Iv4ev9uDZILYHl5OXfddRd/+ctf+MMf/sDf/vY3brzxRm699VbuvfdeqU+vRXy9gLYd2uZZCNIzqicyhYx3EkdesgD+Psn5ehK1i1Fr3iQz66EmMpiR2Y3YTJNHJpILlKgNhZJLjUjrk7tBgSWqQf6MyQ9gWvsR2YmFkovctZHDUrI26dCuyUe1zoZyqZWsjfmUPzOIqoceJuu5SS1OLSdvLKKi7wCcg95E/9FcNGMjSJsVR+bKdDKVVsmF7ZJH9RIcqDeVolxhI+rXN3SkJTow6mpwlG4nO7KicRp3tIF4eQl5YdWeN3QI0RNcL3y9f7cGyQXwiSeeYOTIkZw5c4bbbruNHTt28M0339CvXz80Go3Up9civl5A9fX1DNYORqaQ8V7ap3RWdEamkLEkq+XnAS95hDAvn0TtQtSpbxAT9w4avZvMohqybRXoCgIo0N9HWkYfklKHkpixGpWhSHLJEWlMap6BvOTRpFhKyC6sJifTRfH4wZjWjiA7yTfFr9WCGFtI5oo00mfGkTo2AtXwMBSfp7FpopHg0Qay1qR7Rguzn53YTBBDP8kmfJqZ6PmFaGOKMc9ehX5VPDlRBV6zrY0qtITwGWY2fHb+Ub0dlY1bq+zf/TO1RXv5YddhTp88I+HdTeDv+Hr/bg2SC+Dtt9/Oli1bPH+uq6sDoLS0lICAAClP7aL4QwFtqNiATCFjcOp7jMidjkwh45HYx4jTWa+qBJ4vWkM+2Tk9mi0o0RXcR1pGX2LVU0gW7xuWTvxy8zGGvowhq+H3kp85TXLhakvJUpeRrSzEsCwWy4zlZH+ygoSPIlAMVRL6cUYzkcrbkHuOLE5gw4hcooYmoRwajXpEOMmzUlBvKiU1zk6m5upMLWemOtHG21GFlqBcbiNqXiGhE01oosow62tx2Xdg0jS+Zm3DGCOJC0vRRdbgytvFrpqDYlGGwCvxh/59MSQXwP/3//4fW7duBeDBBx8kLy8PgM2bN3PzzTdLeWoXxR8K6Ov/fo1MIaOLoiubXCaeSHy2QQgjXrvmAugZIczJIjF1Dsmpr5Cd08UjgtEx75BuqyGlsBKNxUJy5mgSM4NRG0sklyNfTlpOLsbQlzBkN0q5KTEAncLLFne08WRFm0jbYEQdbCN+uZW8dam4XnyNykceJ2VwUItTy+nrsqnq1QfX86+Q/4GclDHhaKfFkPFFCplRRjI1jvPK3m9/ToksI3y6mZBPz//9K/S7PfeIn3/8hS0l33FgzxHOnBYLMwRtA3/o3xdDcgF85plniI+PB2DUqFH07t0bpVLJc889R+/evSU+u5bxlwJ6PeN1ZAoZU42rWaKLpXN0w1TwjISl100CmwphGkmps1CowhtGCk2VZJtDzhkhvB9tej+SUkeSmLkRtalMcmnyhWhzrBg3vogh5xzxSwjEuH4c2apiyYXJn5KVYCNzbRbp8xLQjo9EPTKMmElZhE02seEzA/qgCM9ooeblRc0EbsOofMImG4mYaSZsmpmN440kBZdgMdRR7vgau3GH59iNn5lQLbajV9TiLtjNN5t/5JejYlRP0Lbxl/7dEpILoMPhwGg0ArB//35eeOEF/vznP9O9e3cqKiokPruW8ZcCCq8KR6aQMVDzFgnVlbwf9wk9InswasUY1Hl2SSSwWfJjSUkdRE6urNmUcb7uAaISFkguUG096Sn5FH3RsKWLSdkB4/pJQvy8MFnqMnLirRSsTsQ8Zy2Zo9eRNCycmKGxhA1Lbb6n3uiGf1qStniu+ZO/nGabfR8/7j3K2TNiVE/ge/hL/24JyQWwLeMvBfTNz98gU8h4LOFJYisdKMrLmLM6CLlczqrgMOnl75xoDG5U2ckkpk4jJfUlcnI7Nby2ThlOZnEtaUXVpOkXkpo2gMTUT0nMjiTZ5JRcrrwx6RmpFCS8itaSTY65mtx0F4XTxmEInka2ulRy0RG5xKhKMc9ZS0Xvfji6P0Fhn9ewjlrGNsc+9m47JJ7VE/gV/tK/W0II4BXgTwW05cctWHZ+TUJ1JQnVlUQVmpHPn49cLiciMVNy8WtRCLOSUeWWej7LzH3pdyOED6JJe4rE1LEkZkeTbPbvN5Wkp6kxbRqAPv/XfRrT3pReXkQuP+oyjIs24X7iGc+08NZH+/JjTCxnT4p34Qr8E3/q3xdCCOAV4G8FtPOnQx4BTKiuZF1SIiOWjuDR8EeJzNZJLnutTXJuMkmaiWi0z5GbF9hsujhcleqRoWSj3m+EMEObiGnTEx7x0xvaY1bIKIj8QnqJEbnslL09wiN+W3r24sDGjZw9elTq24lAICn+1r/PhxDAK8DfCujUmTMkVJUTU2knobqSuAoXj0f0Q6aQ8UrcW2gMFZLL3aWPEJajyoojSTMOjfYZklRPkpxXSpatlixbLTl5fcjNC0ST9hyJ2okk5sT7nBBqs62Y1z+JXneO+EV1Qb9hAdnJ1+ddvSJXOb++Y1mf6WZHjJrNXbvxw4oVnPnpJ6lvIwKBV+Bv/ft8CAG8AvytgBQ1Ch5W9mGC/kvPKOAyYxJdFF2RKWTIM0MkF7orF8JzJNZQQr4usNmikty8jqRonydeMwe1ySW5wF1p0nSllExteFbSHNkV/YYg6QVG5LKiC9HiGPIexZOD2LH1e86cPkN9fT2nDxyQ+vYhEHgV/ta/z4cQwCvA3wpIWadEppDxXPIrTaaCP9MtaHhdXExvFDqT5BJ3dYXQQVJGJEmaT0lNG0C+7kGPCMYnPEuK2d0gUpZyknPkJOUmk/zbZ16azOQIjDH9STdFkmuqJifVgXHhSvShX0ouMCKXl/xN2ZS9NZzawA6eZ/zqxfN9AsEF8bf+fT4kEcC1a9e2Ot6MvxXQ/mP7Pa+D2+DUewRQWVXO0+pByBQyXogcRIreLbm4XTMh1NtJyggjSTOaKOUCUo2VpFuqybamecQwJ1dGsnYQidrpJOWleo0QZqk3YQp/GH3Br6OZ6X0RU7xtO3lROko/HEttx06e5/z2jP2cE199JfXtQiDwavytf58PSQTwP//5T6ty7733SnF6rcYfC+jjvI+RKWR8XhDUZBRwlTWVLtFdkClkTIybJ7moXe+k6ZPQpvdDV3B/synj7JzOKBJnSSd+SSGYIns1OSdzWE904eslFxiRy4959hpqZF084rf74+Ecr6qS+hYhELQJ/LF//x4xBXwF+GMBqbaokClkPK0e2EQAE6orGZ4wAZlCxpB1r5KUUyK5lEmRlIJSktKDUWmGk5b+mEcII2LkZBTXkmqtQmtSkKwdQmLaHJJ0WddM/FLzirGseqxR/AraY97UG11YsOTyInLlqVAXUBfYgZ1vvsXR0jKpbw0CQZvCH/v37/FbAQwKCqJPnz7cfPPN3H777Zf1PfyxgA79coiuMQ2LPoId+U0EMK6ynAnBM5DL5SxfE9ImVwVffSEsJil9Hcr0gobPDBVk5o9sMhqXld0NdeqrJKTJURXkXrn8WSoaBNBcQdmnjzaIX+gj6MI3Si4tIpeZRBvWiYso/mQqjqJt/PzfYwAcr6mhvr5e4ruCQND28Mf+/Xu8QgD37NlDSEgI06dPZ+LEiU1yrZg3bx6rVq1i0qRJQgAvkVG6UcgUMj7TLWg2CqgoLmL+ggXI5XLClWmSC5g3JjlHgUozlPSMPhTo72s2ZRyeEO6RuWRz699Skhv3JabYHmQVyMkzVJGdYqdgdTy68AjpBUbk8pJUgmXGcqp6P9ow1duxEyd375b6FiAQtHn8tX+fi+QCqNfrueWWW+jUqRN//OMf6datG3fccQe33347AwYMuOY/Pzo6WgjgJaLfrWdR8VLW2XOaCWBCdSXBqRqmLpzKcxueJzQzQ3Lh8uYk6wpJSluBSvMB6RmPkJnVBWWagaziWjJsNWTkDiEz6yHUqW+SmLYYlV7fVPzMbnJjgzApujRKZJaM7GTxqrY2HVUpJnkwFX0HeJ7x29bvCQ6pVNSfEq9sEwiuFH/t3+ciuQD26tWLuXPnAnDbbbexY8cOjhw5wssvv8yGDRuu+c8XAnh5nK2vR1NXc14BjK+q4LmIFxu2jIl+iRSD764KvvpCWNK4itpQQZ5O1myEMCOrJ6rUt0mPfwPLpnMWneS3x7S+D5kha9AqC8hILJJeZEQuOboQLe7+zzW+tu3hRzgYFc3ZX36R+rIXCHwGf+7fvyG5AN52221s374dgDvuuIOamhoAKioq+Pe//33Nf/6lCOCJEyc4fPiwJ3v27PHrAir7ds95BTChupI1ljS6KbojU8iYnr5ccrFqq0nON5GU9gVqzdtkZPVsJoN6Q3v0ee1RrbufQRs6MGt0R4841AUEUtuhIzWyLlR3e4iyh7rw4ZJHGRDzNM/EPs+0Wf3JeroH6c/3RDvwYexD3sf+xjDK3vmEjPeGMGvVSMbGT2NC/CwWrxpPzOfvETPxIxRTRmKcvQqTPBjjok2kLF5GaEQooUlJhCelEBOrRhUaS3J4MqmKTLKUFrKTSiQXq7YSk9pKXfeH2NLjIfavD+bMkSNSX+oCgc8hBNALBPDOO++ktrYWgI4dO5Keng40COCtt956Sd9LLpdzww03tBiHw9Hkay5FAC/0/f2xgE6dPYV2aw4f50wlvqrivBI4ybAcmUJG95iHCM/Pl1ymfCHJeXoStYtRJ79O+opnKZlxP58t7kEvRW+6K3ogH9lUAH+fIUGdkClkDWL+acvHviPv6Dl2/PiWjx02s/HY0VPOf2xth45Uyjrx2bTu9Inpy+Mx/flkwWPoHu9C7oCuZD3dA/uLr+B8+W0cr35A3uuDmBf0FiOUnzNaOYlZ6z8j9pMhxI55k5jP30M/eT6WGcsxz16Ddt5CQkKWsTopmvVJcWyKiSF+zXoSg8NRhcaSFZlDboyRnHgrWV4mowVr1RSPnEpBuoudX+3j7NmzHLXZOH3okNSXuUDgswgB9AIBHDx4MGFhYQBMnTqV+++/n6CgIHr06MFTTz11Sd/rwIEDbN68ucX88rtpFDECeHkcPXWUh+IeQqaQsbos/QJTwW5e0ryJTCHjmegXSNaXSy5QvpY0YyWxSemsiAslO95GdryNjFgTaVG5pIZpyQvNIj84Dd3aFNQrgtkUGcX6uGhWx4UTsnYJilnjiZk2hthJIymcsAjr2HkUjZlFyoh3mbluDKNjxzMi9jPmzX8D9auPkfJyH7Qv9cb5/BDKnxmEe8ALWB7vyciFj/G44gn6KB5l3JTulMsCqQk8vyyOnN4oiyOmtyyWYyc1Hvv+3JaPnTK28dg3FnZq8dg5ozrRQ/EQvRUP8/ryhyns3QnjozJ0j3eh7MmncT03GNeLr2Mc9CJB0wfyQdwIPlKOZnzoJ8R/+DzKjwcSN3IIus8mY52wkMIpS8iaNpvgFbP5InEDKxLDWBsXTtzSxcSvWEH8mvVkhajID8smL0pHpkJHzrok7K996Dmnw5ZCqS9rgcBvEALoBQK4Y8cOKisrATh27Bhjxoyhc+fODBkyhF27dl3zny+eAbx8Jhgb9v0bmTfzglPBIXYd3aK6NYwMxUyWXJh8LaF52Twc1YcRy0awMTLWI4HekoxYE9lRenLD88kLzSJ1fRwxkQmEK5PYGKdk08ZgYufPJmbuFGJmjsM4bSmWKV9SOGERqea7fOgAACAASURBVJ+NImjl50yIncHY2MnMXv4xie88RdIbT6B+9TFKB7+Fc+CbuJ5/FdPTjzNlVn+eUTxPf8VTDFvUh5IeHXB0DcTdKZDagA5NBHD6p42yOCSoZVmUj2g89sVlLR/7xdAOnmMHrGn5WE8CO/Dt5Cmc/OYbqS9pgcBv8Pf+DV4ggFKxe/du3G43CxYs4LbbbsPtduN2uzlyCc/b+HsB5e7MRaaQ8VjCgAtOAydUV/KZelbDcWGPocwslFyafCkpBjdjV49HLpczddE0VDG5kkufV0ZZRHashZxoA+lhGaiiUolVphGlTCEqMgbll0uJC1pA7PzZ5M9bjWn2GszTV5A+eSorlk5keux8JsfOZmbIOJQfvUT8B8+R+M5TFL75HvbXhuIY/C7Gl55jweSnGBjzCs/HDOSt1U9i6iOjsHdHint0oLJrV2o6dfG8r1f1bAdiBnagyBIv9aUsEPgd/t6/wYsE8OTJk+zZs4fdu3c3ybVi6NCh532ez2Qytfp7+HsBHTt1jJ7KnsgUMlaUpl5QAJWVboZv+pQ58+ewdMVasUH0VY4ix8i0RdORy+VMWjqZjLhC6YVLpMVkxpoZHvUJMoWMPgl9+OawGP0TCK4n/t6/wQsEcOvWrTz22GO0a9euSW688UbatWsn9em1iCggmGKegkwh4+OcqRcUwITqSmLKSliwaBFyuZxQRbLk0uRrWZ2SwJz5c5DL5cxYO0dywRG5eNKVFl6MGYRMIePV9Fc5fvq41JezQOA3iP7tBQL46KOP0q9fP3JycnC73VRUVDSJNyMKqGFTaJlCRp/4fsRXuVuUwI0Z6cyTz+PdVe+yVquSXJp8LXOjliGXy5knn8fS0LWSC47IxZOgzOIRRR9kChnTLNPEa90EguuE6N9eIIC33HILmzdvlvo0LgtRQHDizAkeiX+Ep1QvsMllblEA46sqeDv8A2QKGf0jnyTZIFYFX+1MWtvwLubZC+agiS6QXHBELp71cdF0UXRBppCh36WX+pIWCPwC0b+9QAB79uyJ1WqV+jQuC1FADRw4foCK779rUf48q4JtefRQNGwfM167QHJh8rUkFZQxZ+l8Fi/+AnWkWBDSVjIzdiHTVHM5ceKk1JezQOAXiP4tkQCeu5eewWCgT58+mEwmDh482OTfefsvRhRQIz8eP9YqAUyormSWOQSZQkZXRVc25GVKLk2+FlVuKercMvIzXZKLjcilxVW4RepLWSDwC0T/lkgAf1vg8fsFH2IRSNtGU+cmrLzwogIYX1XBq9qhDXulxTyLusAhuTT5YjSGcj6Nn8yc6CDJxUak9amt2kFYZRinzpyS+pIWCHwW0b8lEkCz2dzqeDOigBpRbVHxUFxPPsga16pRwLDyQh6KbthC5qPoMZLLki9mQWYoL65/kVnzZ7EmLExysRG5eLKURbwS8zoyhYygkiCpL2uBwGcR/dsLngHcvXv3eVe+1dfXX9N9AK8GooAase21IVPI6KXsg7KqvFUSODl1ScNUcFRXwrRZkguTryVF72biyqnI5XKmL5yBUpEmueCIXDwr4kI9bxNJ354u9aUtEPgkon97gQC2a9eOH374odnnBw8eFFPAbYjTZ0/TL6lfw8iFLa5VAqisdPNO5DAmBE3gi2UrSRHvCr7qUebZmLK4QQInfTGZ9Diz5IIjcvFMiJ2BTCHjobiHqDtYJ/XlLRD4HKJ/e4EA3njjjezfv7/Z57t27eKWW26R4IxajyigpiwsXohMIePdzM9avSAk1mln4ZLFyOVyQiITJBcmX0xIWiqz5s9CLpczZdV0yeVG5OLJVFp5PeZtZAoZz6U8x0+//CT15S0Q+BSif0sogBMnTmTixIm0a9eOUaNGef4+ceJExo0bx8MPP8yjjz4q1em1ClFATbF/b0emkNEzrjdxla5WS+Cm3BzkcjnjFo9jRUqs5MLki1kUtx65XI5cLmfhhqWSC47IxZOs1NFP0R+ZQsYo3SjOnD0j9SUuEPgMon9LKID9+/enf//+3HjjjTz66KOev/fv359nn32WTz75hG3btkl1eq1CFFBTzpw9wwDVAGQKGQus0a0WwITqSsZGTqNzdGcejehLkt4uuTD5YqaENLwqTj5fLjaJbiOJUKroruhB3/i+7PzvTqkvcYHAZxD92wumgD/66KM2+wsQBdScL8q+QKaQ8XbGqEsSwLBSIz2jejWMdmimSy5LvphkfTlLVq8mLCKRLGWR5HIj0rqsjAslWZPHiV/EJtECwdVC9G8vEMC2jCig5mz+cTMh7lBCnAWXJIAJ1ZXMt0YhU8jorOjMmtxkyYXJF6MxVJBqrCQ/241KmUem0iq54Ii0LiUF/5+99w6vqkz399E532vOmXMOc+aUOc7Mz0uZcsayEFQUEHXsomJXLFiwgQhSpCQQkp1Oeu91p/e+k53eew+R3gm9KB0Ekvv3R3BDNMGEnbBSnvu6Ppe4WQl77Ty8z837rnetdjo7O+V5wYIwCEj/HgYC+OSTT143wxkpoL7J2751wAIY297Ge5kLULQKj0c+RWxeterCNFrjkZPAjPDHWOm/RnWxkfQ/kcUJfJD9AWcvnlX7r7ggjGikfw8DAVy6dGmPLFy4kBkzZvDb3/6WxYsXq/32rosUUN9sOnrkhgQwrKWaqRGPoGgV3gudq7oojdaYp3my2G4xFhoLHAI8VRcbyS8nPbqER7SPomgVviz4UmYCBcEIpH8PAwHsC41Gw/Lly9V+G9dFCqh3LndeJmVLOm+mf4K2tW7AEmiW5dl9I9xwBackreqyNFrzjacpGo2GNVZrCA1LUF1wxnJ00ZWG5fjcqELyAkxwCHiNNQFPsjDgYd4LmsTzIfcabhCtaBVO/nASurqgORqObuv+tSAI/UL69zAWwG3btvG73/1O7bdxXaSAeqerq4uZyTNRtAprywJuaCZwtvZD5rjOwXadI0kFTarL0mhMfEEdy9et6L4/oN0KUiILVReh0Rp9VAm5wW74Bc3DKfBN1gY8zaKAqcwJmsQLwfcyJfw+LKIcyI2voSQml7p1/9ND9n6apeErKUutZ0thMWjGd8fl75DyBTRFwne71R4GBGFYI/17GAtgZGQkf/jDH9R+G9dFCqhvPJo8ULQKb6TPvSEBjGpuxMbRAY1Gg1dghOqyNFoTnKXH1Lp7JvAb5xVkRcmmkH4nupwcbRwRIVb4By3AOXA2FgHPsiRgOh8FTmZm6MNYR7mQHV1FYZSe+l+SurCVZIeXkh1WTLvjDJb4T8PC/xlc/N8kwH8+UYHmJAUFkBma3X1ceCkVAaEcWzeDy5r/vCqCP8ZdgbZEtYcCQRiWSP8eBgL4+uuv98hrr73G1KlT+dWvfoWlpaXab++6SAH1zebjm7uf8xtxP+GtNTckgcGFBWg0GswszXBNlBtED1Uc40Mw15ij0Wiw9LZXX6xUTlZUMSnaCKJC7AgM/hrXwPewDJjJsoBHeD/kSRyivMmOqSI/MucXpW5ZhAnZYaVkh5Wwed29zAmcxKKAqZj5P4Wj/+v4+n+ONnANccEBpIXnG8RuoNGH5lHr58k2t885bv8wnZrfgWY8HVkhHOk4zqWLl6CjEbKWQnsKnP7505cEYSwh/XsYCODcuXN75NNPP8XExIS8vDy139ovIgXUN11dXbyc9jKKVmF1qc8NCWBsexsarStTg6fycMhUonMrVJel0RrTIBs0Gg021nZkRpWpLmFDI3alpGhjiA51IDh4Ce6Bc7AOeIGFIa/iGhV4RepyqV/3++tK3TdRJugjK9CFlbDd9o88F3Iv7wXex1cBD7Ha/wkc/F/Bx/8TQoIsiAtPv2GpMya5oXrqfF3JC80hO7yUnIgyOgIX9Zwh9J0GOatgYxac+07tIUMQbirSv4eBAI5kpICuj1+LH4pW4bW0D25YAMMaq5gaOg1Fq/Bx0iLVRWm0JrmwBd/QONKyq1UXtYGLXRlp2gRiw1wJCV6BZ+BHrA35GO+ocLJjqsiLzKfO4S/cF35v3zN10abkx1aTG1XBDpv/YXL4vTwTcg/vBE3ky4ApmPr/Azv/WbgFzic0PPaqbIWVqCJ4N5Jqfz92uszhpO3Eny0Xd2l+C4c3Xf3LKxtKhFGO9O9hJoCnT5/m5MmTPTKckQK6PjtO7EDRKtwXMYnQlqoblkC7ihhDo3bMjlJdlkZ7cvUt2ES5khldrqrY6aIqSItIJS7Mk7BgE1xCvyEoOo7smCr0UUXUOU/hmZB7mdyH2C2LNqUgsYb82Cp22nbP6t0Xfi9PhNzDm0ET+SLgQVb6P4Ym4C28w0MMopQXkkFWWKHqwjaUKQjJoMnHlt0u73Da5m4uWv2Rutxmtq/fw/dHTtKV8TUEPwOF1rCjBC6eU3s4EYRBRfr3MBDAnTt38uKLL/Kb3/yGW2+91ZBbbrmFW2+9Ve23d12kgH6ZtzLf4pXUt/Gsz75hAYxtb2NuznIUrcL0qMeIyitXXZJGcz5KWsgzfs+w3H3V0MhddCUZEZkkhPsSFO6INjr1itSVUOP2nOGWJw+G/Vzsvok2pTCploKEanbZ9lyqfTz0Hl4PUvgs4AGWBD6DU7inQXhKAkNJCdaSGXbj19mN5uSF6Hr8/zmbv/acIbT+bwh7EUocYHe12sOKIBiN9O9hIIDTp09n+vTpxMfHU1JSQmlpaY8MZ6SAfpnzl86z47vjRslfbHsb2tY6Ho15EkWr8HrIbNUlaTTHNjkQC40FGo0Gaz/HAcldZqSemIhI4qJzyI6pIie6jGqv93rc8uShsHt6ztTFmFCYVEdBQg27bP/3Z9I3I/QeXglW+DBoGpbh6wySUuXrTFSgFcnBIWSG6VWXqNGU4qAE2rzWss/pFc5ZT+ghg5e9Hu75l/zIZrh8SZ0BRhBuEOnfw0AA//Vf/5XNmzer/TZuCCmg/vHD5cvEGymAse1tWOtDUMK7pcA8zk11URrNWeFrbtiB7RcaQUZUManRRVdm8Mqp8F3c45Yns4LvZdo1Yrc0ehUFSXUUJNaw2/a2Xpdop4Xdw4shk1kVvtYgHo1epn3e8kSiUsJKKA2KYb2XKfsdX2Sr2zwK46tpKdvI3o276bL+Pdj9CWJmQ5U3HGiDzk61hx1BuC7Sv4eBAD7xxBMUFBSo/TZuCCmg/pO9rQ2v+hyjJfC9yE951vdZ1qwzJzGvQXVRGq1JKmzG3LJbAr0tnAi1dyDGRUOjfzyFseXs6UPqFK3ClDCFheFLDQKx3v1LHP1fw9f/M7SBa0gI8iEjNEN9sZEYnbLASC5a/eHn9yB0uAPi58BmvdpDjyD0ivTvYSCA27dv55lnnkGr1dLY2EhbW1uPDGekgPpH7q5cJkVM4sXkt40WwMiWBmxdnNFoNLj7hqguSqMtKYXNhMXrcHDxQKPRoNFoqFidTIdJ+TUp5KBpELk29rj7vIuP/yeEB6wiPsiTjNBUdGHFqouJ5CYmrIiKgFA2eizhsMNTXLL8X4MInsiw5fzZC90DwenD0BAGx7bLLmNBdaR/DwMBrKmpYcKECdxyyy2GyCaQ0cWB0weuzA5NJLCp1GgJDC0tMciJb0Ki6tI0GpKibyTWMwFnjYPhs7W0ssLLK4BCNye22ruzzzyMfSY5BhHca1JGQVIdOdHlbHGfz0HLb9hl5UO7UyBl/ilkh46cW6RIBi85YYVU+Qew2X0hpYHRZIeXUpbWQEey+9UZQte7IXU+tMTA93vVHqKEMYj072EggHfffTdvvPEGtbW17Nq1i927d/fIcEYKqP/MyZ7TfW1YoaPRAhjb3oZzTBgv+rzIg6FT0OqLVBeokZpMfQvFvsXYW9gaxM9OY4t/cBxJWXWk57X2jL6Z0rgc2vyiqA28+vvHXB/jsKl/j5nCfaaZ7FsbzA4bb8q9C7ufiDEMBEWiThp8HThmP53O3h5b5zEJ9jWqPUwJYwjp38NAAH/zm9+wbds2td/GDSEF1H+iNkShaBWeT3p9UARQ21zHjJBHUbQKs+Pmqi5SIy2ZaXU0edewZ3X3TJ6HuRPOGgfiPBJJy2r4ufj9QopSU9ngFcQem0D2r4mjw6SkhwzuXFuO7ooIbPRYyhYHJxrdteQG56kuJpKbG31oHnV+7mxz+5Tv7KbQqfkP0IynWZdKdXoE1ZEWnLS5E8vofFzyNhNbt4fzFy+rPYQJowzp38NAAGfNmkVycrLab+OGkALqP4fPHmaidiKKVsG/qWhQJNCpLJ6J2vtQtArWWYGqS9VwT0pRK5FpRbh6BWCvsWXXFUnbZFdFblg5afrmAYtfX9Fl1VAblsgW10B22MbR5FVDel4r2XmtnLP5M/tNMq7IYQn7V8ex18Kfzet8qfWKkZnCURxdWAlRQcW4+RTS4q1hr/PrnLK99+czgprx/J9JKneY6LjTRMehfcc4d/ocnZ2dmKe387x7GZ+G17M2rR2/ku2kt+yjftdx9n1/js5Oub5Q+GWkfw8DAQwMDOT2229Ho9GQnJxMRkZGjwxnpIAGxlz9XBStwuIC+0ERwNj2NubnmaNoFR6OnEZEfpnqkjUck1LYQmJgJo7OVzd2aDQa8talU5DQSHpuy6CJ3y8lI7eRjcEr6bAIYb9pxk82l3Rnk1WZQRgafJ2o8E2Q6wlHWsJKSPdPINHViXT7RZRYvUKr5mHuXp3JHSY67jDRsc95Vg/hu2jxO3ZY3E2l5XO0WT3J8nVpfGCXw1s2OegC89EF5pMdVMBz1nrD9/hp7jTV8cOlq7egiazZzbqcTURU76JgwyE27D/JibMX6ZJNKGMe6d/DQACv3fzx0wzVJpBdu3bx6aefcuedd/LP//zP/PnPf8bCwoIffvhhQN9HCmhgxG+KR9EqPJf46qAJYFRbE0/Fv4iiVXgp+BWSC1tUF65hk9xGYr0Se27ssLTCyy+c+PSKmyZ9fSa3hcKkfNr8I9i5LoB95uHsXV1Ik08t+rxWCjOruGzxBzpMStlnksN+s1B2WfvQ7hxIiX+a+pIjQRdaTFRgEU7ehSxzyafNYwXf203psRP42jxuGsIEEx1T12ZT5GrNFufPaPSwJNc7hAx/nUH0rpdQ7zwc3XMxcdYzb10Ob9vk8IwmmwfMdDxgpkMfVkxpQhW12U285FjYqyjeba7nWbdSLl8zW1i38zhV246y6+gZWXIeA0j/HgYCqAZ6vZ65c+eSl5fHjh07yMjI4Pe//z3Lly8f0PeRAhoYx88fJ3ZjHNrWykETwNj2NhwLY5kY3r28vCLaWn3xUjmZuS3UBtXRsjYXjUW3+Nlb2BLhEkVSVq364vcLUpiR0z0jmZ+Rw9F1b9FhUtjrTOHe1TnUuv4441T8s8eZSQYxYSUUBSeR7eFMuv0iiq1eZYPmAU5b/C9TTSIMYtXq+vnVJ4ZofpzRexad9SckOWjQeqaSHpDXL9G7kWT95HubueiZa5fDK1bZPGaRjbLmqgROXptDY34rG6o3s3P9bl7zKO0hiQ/aFPCKdwXzIxuxydrQY9bw1PmLstQ8wpH+PUYFsDecnJyYMGHCgL5GCujGqOnYO6gCGNvextzohUwJmcIC54Uk6GtVlzA1EpdVQapLEntWX5WkWE3IDW/sGC7JyG6gOjKVTR7B7LEOZP+aeMMmk/qQOvIyGymPjOOi+UT2mybRYR7ANjsfGmSTyYCjCy0mxS8BN69slrnk8659LnWu33Cxjxk9NOP5aLUdU9dm85p1DonuQTR6WFLqE0p2QM6QiZ4xSfXPI8wnD1/P3B6vz7bJ4eG1Ov5q+vMZwwc0uezZtI8jHcc4/f0Z3vav4m9rcnjMsZh3AqtZltCCS95mYmr3ULbliNpDrNAPpH+rJICenp6cP3/e8Ovr5WZhZmbGgw8+OKCvkQK6MfadOjnoAhjZ2oDGs3up09XTn5SiVtWF7GYlKq0YV6+A7iVejSUbTfPYbFtJaVTDTb2+72YmO6uaktgqsjO7N67Ux7hxxuzNXmYKi9m/OoYtNkkU+asvWMMmV2b06nxdqXBeTInVK4YZPTTjeWe1k0F+slzWgGY8nZrfcczqHiotn0Nn8ylJDhqS3EPI9M9WXeoGexYx3i8Pf69c7NxyWeGkZ7mTvscxD5r1fg3iHSY6pljnGzasAJgkt/1sw0rDlQ0rly7LI/PUQvq3SgJ45513cuzYMcOv+8pAZ+RulO3btzN+/HiCg4Ove9yFCxc4efKkIR0dHWO+gG6EpC1JvJTyNl4N+kGVwPDKciytrNBoNATFpKkuZkOZlMIWEoOy8LJ067Gxw8PVj8yI0lErfteLPr2MpqAYtjsG0GERwj7TzB4yWBlegz6mijpfV45Yv8tuS182OPpT6Zs4ajeZ/Dijl+jqhKVTHO/a5/IPTQ65ziZ9zuhdtPgdFuarec06hwXrcojwTLoyoze6RM+YZATkEeGTh4dHLhpXPYsd9Xxgl8NLVtmGTSvZQQUUxZQzxSKnT1mcbl/YY2yMrt2NtmoX+RsO8e3+E3x/9gfZsDJEiACOsiVgjUbDuHHjrpuGhoYeX7N//37++te/8tlnn93w9x/LBXQjLChYgKJVWJBnMegzgV6JCcx1nsvDIVMJ0mWrLmqDnbSCVnKCCnHROBqkz0pjiZdvGPFp5apL2LCKvrl7k4mfliafcrJ03VK8JXgRJ9Z83fOm1SY57DMLZae1D7UemehD1Ze3AYleWAnZITrqfF3Z6LGEDete7zGjh2Y8q9YsN4iHxzoPOjW/45TNPey2f95wjV6SewgZo2xGT+04X9mwMv+aDSsPmun4s4mOJzTZhg0rbWUbmGad9zNJvGutnqdcSlgS19xjHG3fd0I2rBiBCOAwEMCysjIOHz78s9cvXbpEWVnZgL7X0aNH2bRp03Xz49IzdMvf//3f//Hhhx8apuuvh8wADg4Z2zNQtAr/iH+OmPWtgyqAUa1N/CPkSRStwqyot0bNUnCGvpnaoDp2rq1gh0kxthbW2FnYEOUUSVpKtfqyNYKSl6Fnvb8/u20D2G8W1esmk4Kg7lvRNPg6s8XRgmbXUAqCstUXvWtm9NLtF2Fu68k/NDn8fbUOfyfXPmf0dljcjaflKhasy8HaNZdonxyZ0VM5mQF5JPn33LTymX3vG1buMNHxrF2+YcPKgZ2HeMS+4JoNK/m8fGXDimXmt0RU72LX0TNqD/XDGhHAYSCAt9xyC7fddhvV1dU9Xj906NCQPgt43759/O1vf+Pdd9/l8uUb+xeUFNCNceqHU9wfeT+KVsGjLmvQZwFdS1OYHNH9/c0yPVSXN2MSp6vCK0CLr8advSZldJiUs11Tgc5XT1rmyN3YMZySmV1PdWQKm9yD2GMdzCa7StJzm8nOb+WA12scW21nEMP9pol0mPuz1c6XBo8I9CFFQzajFxVUTKJ/Ghs9lrDX+XUO207pMaOHZjy+Zh8YJGCBTSynbO7hwLrn2OT82ZUZveB+315FMvzy44YVF49c3DyublrJCsjjEfNs/tbLhhWDFFrnqz3UD2ukfw8TAVy6dCn/8i//Qnh4uOH1Q4cOccsttwzJn/njsu9TTz3Fvn37OHjwoCEDQQroxllctBhFqzAv12zQBTC2vY0lhetQtAoPRkwhLL9QdZEbaJKjC3DzDuxxfV+ltY6yyAbS9WPv+j610hxpT4e1O/tNU3u9Fc1u0zLDk0uq/AOo8o0iO7T/UthzRu9riq1exVGzgr+v7m7i36yL6XNGr9LyWUJtzbB2zSXYO29Ib68iGR5J9Ov5M37Lpu/rCydZ5XHi3EW1h/phi/TvYSCAt956K4cPHyYlJYV/+7d/Y9myZXR1dQ3pDGB4eHif1wgOBCmgGydnZw6KVuGxuKcHfRk4tr2N6PUtzEx6A0Wr8GzoCyQVNqsudb+UHzd2eFu69xA/V3c/ouLzB/VRbZKBJy+1lObAaLY7BrDPIowOUz1bbCvJyWslL6eZE44Pccg0jH0meexfo2W3pQ8bnAIo901CF1JMVFAxTt6F+Hpnsdf5Db6zm9Lr7VV0a5/hDhMdE0x0vGOtY5/Di4YbJie79/+GyZKRm6yAPKJ981jnlstXDnpescpmsln3Y/HyEqtpK9vA7g17WR3fzB0mOqbaFfJpeD2u+VvI/fYg+74/J5tHfgHp38NAAG+55RbDNYDNzc3cfvvtPP/882zevHlIl4AHAymgG+fsxbNMiZqColVwrU0fkllAj8pMJoVNQtEqLIpcrbrg9ZW0glYqIhoosUy/urHDwpIgx2DiZGPH8E1ui2FjSXpuC4fcnmGfSU6vM4X1K/xYM+cDln34OQvmLiR33hQqFkyk8eu7WL/kb7SaKhSYP0Oi5SeErbMn0EsvM3pjJJkBeWRe87Ne5qjn3tV9L+227P3eMI4eOnmeo6cvqDiSj1ykfw8zAQQ4ePAgU6dO5U9/+pMI4ChnVdkq3suai0tt6pAIYGx7G1/Gr0TRKrzl+RZx2dWqy961SdLXke2jZ6d5RfeTLUzK8LZwJdIxgrTkKvUFRzLw6BupiMmk3Tm851LxqjxcZr/UZ2Yu8b16sf9CNxzeeQWr92ez9sOPsfh0PkFfLyP0mzVoTWywso3F2rX7mrAAj0wi3VNJ9xueN12W9ExGQB5B3rmYX3lCydOabP5uqiMkoJBaXSMba7fimdHWPQNsquM5tzKWxbcQUrGT2h3HOHlelnQHC+nfw0AA586dy6lTp3q8duHCBT766CPuvPNOld5V/5ACMo6uri6OnD0zZPIX295GdFszK30t0Gg0OLl5D4tdwXHZ1XgFRmBpZY29xpZdJiVst6igOqSODJ0s847opFZTah7HzpVXdxZvsakgwyMVR/c4bNcFY27hib2ZIyEWNgSarMZvyWJeXBPDJHM9fzHV8cqX9teVxeevkcXnFroZXrd793WsP3gPn88/w/+rRQQvWcEKCy2LHfWscdZj75iKh004QY7xxHpmkOGfq7oQjZU4uufyuEV2rr9ezgAAIABJREFUr08ZucNER0LDXsO4ePjkeVr2fi+3dxlipH8PAwG8Hi0tLWq/hesiBTQ4pG/eOKQSqK2pxtLaGo1GQ2BkimrilxxdSKCtX4/r+5ztXdGHlMrGjhGeVF0dhVYx7FiZbxC/9hVplETWkalrJjO7pV/J0DWTkFpLSGQ+nv5pOLhE4eoQRISTD2E2TgSZaXjXOpGn7PKZapXLG4uccJo9q29ZXHqNLH7l2uP3nGbPwn3OW3h98iG+8+axYHUQc2xzmL8uh1U2CdiYeuCkCcTHPhKtaxKZfnLbmL6S7N99U+jlTnpm2+TwiHk2dm65FMdV0lTQRkx2m+HncI+5nrf9q9FkfEtSYwcbD5zkojwR5KYj/XsYCuCJEyfw9fXlgQcekCXgMULBzlbsq2KHVAJ909NYbrOcp/2fwSfjJkpgUSvp4YX4WHn0ED8Xdz+iEgtIG4NP7BhNSc1uINzFB7eP3iZvviMdJuVsWJFBrksqGVlN/RY/Y5KW1Uh0QjkBYTn4+ycT6x9DlHswWgcP5jtn8LZbMS86FvDeci80c97D/p3XepXF564jiz/G9d1X8fjwHeau8OV5y2zetM5hnnk0Zkus0ax0wm6ND57WIaS4xpLulUaWv151ORuqhHrn8YZ1Dg+t7d6c8dNZPYfsDYYx7sTZi2S27mfn0TN0dsrmjOGA9O9hJIBFRUXMmTOHf/mXf+Guu+7CzMyM5ubmX/5CFZECMp6Ggw0oWoVpMY8Svb5lyAQwZn0rM0NmoWgVntHOJLmoZUjFL62glfLIBrZaV7LeNMewsSPENpCU6BLVxUViXDL0LVSF1pNsHWCQI78vviDfMYmMzMabIn7GJDm9npi4EpKi9MSHJBPjE4mJj54v/cr40LOET9cGs/rTL1n70cdYvT8bp3de+Yks+hlE5/k+ZPHHvLvEnSlmOp6wyOZd0zBM5i9n9aK1rF1mh52pG3G2ASQ5RZDqnkCij46sYbL5JSsgjyjfPOzdclngoGeWVTamznpyQgqpSK0lV9/WQ/im2RfymbYet/wt5H17kMMnz//yACiohvRvlQWwo6MDGxsbJkyYwO9//3sWLVrEP/3TP7Fhw4Zf/uJhgBSQ8fxw+Qemx05H0Sqsq44f0llAr0od90c8iKJV+CbdfkjELzGvAf+wBBIsQg1LgbvWlJPikiQbO0ZB0rIbKQuqYLume+POJrtyvOZ9QpRHCBlZw1/8bjQZumbS02tJiS8iMSILh7ASzMKqWBpYztd20ZgsMsV03mLWfPIFNh9/iPuHb+NyZWn62R6y6HJdWXxrsRsTTHQoa3TM+iaYNXO/wPTzrzH5chUWizVEmjkSY+VFgn0wwa5pRPrmkeo/eMKY5J/H5/Y5zLTM7nUn7vzwOsNTozo7uwgo3U7ZliMck524Iw7p3yoK4AsvvMC///u/895776HT6QxP4xABHHusrVyLolX4KHvpkApgbHsbq0o8ULQKk7X3E5iXM2jil5RWiXdQJFZW3dcaWmosWW9RQHVwHZnZssw70pOmbyLPOZmNK7IMYr/TvILq4LqbttQ70pKR1URaSiWB8dW4x9ZiE1HNGvdUzEwdMV2qweSrlVjN/xrvBfPw/PQDXN9/nWcGIItvLnY3HPvkYj8s33+HtR/OZfUnX7J2/lJCvzFDa2pLlLkLLuvicffIJcg7lxgfPQFeetZe2Ym71LF7mTo/opSKrEb+cs1GjT+vzuZ59zK+SWgltGInbR3f//KAJowIpH+rKIC/+tWvWLZsGVu3bu3xugjg2KNyXyWKVuHh6EeIXt88pAIYs76VV1LfR9EqPBX+LImFjcZt7IgpIsjWH0uLq9f3OTi6odVmkJbdpLq4SIwUv9wWst1T+HZFhkH8tq/Io8q7jKzM/m/ukPQvyZlNRKY24pdQj3OQHhv7YMzNPViz0g6rb8wJXGWK35Kv8Z7/GS+tDOXPV2Rt5i/I4htL3JmwKoNZCxyweO8d7liVdVU0XYo5d+bqcq1n4VZiavfQKjtxRzXSv1UUwOrqaj7//HPGjx/Pww8/jLe3N0eOHBEBHINc7LzIY3GPoWgV7KpihnwW0L+hiPvDup8V/Ll28Q1t7ChKaCTbNqnHxg4ve28iE/JlY8coSFpuCzGhiXh/NY/kT03oMClnx8oCSjRxZKbUqC5Kku5k6JpJyGgiJLYcD99U1jlHYWXth72FG6HWjgSZWeC/fDmLF5phOec9gxA+sVLL2wHVWGVuIL1ln9pDoKAC0r+HwSaQs2fPEhoayowZM/h//+//ceutt+Lh4fGzewMOR6SABg+raisUrcKcrEVDLoCx7W0sSe7+8x4LfIyojNJ+iV9KfhN5YWVsta6kw6ScbSZF2FnYEGIbSGp0serSIhmcFMY3kuOWYpAFt/ffoMgiiszEKtWFRzIwOYwNjMdr/meGn6X/vA9o0mdx6eIPag95gspI/x4GAngtmzdvZuXKldx222388z//My+//LLab+m6SAENHnUH6q7sBn6MmCHcDfxjotta+DJoKeYacxyc3Ugp7HtXcGJeA/7aRGxs7fGxcGOvSRm715TT4FtLZmq96sIiGZzkxlSxwaGq+/o+iwp85n9BqNU6UlMqVZcZycCSklCC76KvDOLnPXc2takJXDwvO3OFbqR/DzMB/JHLly+TlpYmAjiGuNx5mZydOaRuar0pM4Cx7W1ENtRhZWeLRqPBLyz+5zN+qVWEOYcbNnZoNBrsrddRGlBOZrYs846W6EJyaViZaLjGb49pOc2eNejSRu+u3tEevb4Zn88/wH3O65RFh3Hu9PBfURJuLtK/h6kAjhSkgAafDUcO3zQBjG1vIyBHh7nGnLfdZ+OaGt0tf3GlBNsGYGlhaRC/dY6uhEZlkqqXR7WNlmRGFFC3KuGq+K0qpdEuj9wU2dU70pISX0SotQM5+la2bjvEpUuX6djYzqnjR9Ue0oRhivRvEUCjkAIafE5duGDYrXszBDBmfSvvhn6EolV4IngG2zTxVK0Ow1pj1j0zaOVJQliObOwYRUlKKiJwjRlhH35Bh0k5e1eVUWsSjy68UHWRkQwsqckVhFjY4PJu942qWwvz1B7ChBGC9G8RQKOQAhp8krck83zSy2gqQm/aLKB/TQHTruwKtve8AzTj6dT8lpTIIlrca9iuqeC45cectZzGKaun+N7mJY7Zvc0hh4/ZHLSIb8NMyMhtpCCxkZKYBqojUqmOiqUsPoOClAKys6pJl5lD1ZOd0UxRYDEu77xsuDasYGUgupBc1UVGMrCkpdUQZuuM6/uvG36WSbZrObxrh9pDmDBCkP4tAmgUUkCDj1O9E4pWYXbGFzd1KTgwYQ33hd+LolXId/xffrD5A/HN6/nWrZoOk3LOr/0HaMb3mi7Nb8mqaqfdvYYOk3LOrp3582Ms/oOL1n/krN1fycqpoTagjg0OVeyzX81x2zc5vO4D9jvOY4/LUnZ4mNEUsY66WC8y9fVkZzSTm9pEXlo5OZmVpOvl/oIDSWZaPY3etewxLWfP6nLCl5rgt2wpiRE61UVGMrBkZDUR4eSD24dvG8Qves0y9rS3qj10CSMM6d8igEYhBTT4rD+yHkWrcH/kg2hb626qBK6JfK77htRh9xCZ601ccxup5S3o8puoToyiNcKNDcE2bPVbzS6vJXS4f8HW8I/ZHvY+cc1t1ITXstGxihOWb3NJM4FOi/+ly+K3P5PBlKY21nv9KIsv9imWaMajL66lxauWDpNyzpi9ZXi90+L3XLK4kx80d/O94xSOuP6DHF0p5RH1NHvVsNXNg73Oi9npbsJWLyu+9XehJdif8oQoilJTyNA3kJHTQrp+9C5tZyRXUb42jl2rigzX+W20r0IfV6u6yEhuUAB1zQQuXYTL7JcIWzqfrbVVdHV1qT1sCSMQ6d8igEYhBTT4dHV18Xzy8yhahbVlgTdVAGNa65kTMhlFq/BC2GS0DbXENbcZl8ZmUqqq0RUXoivLIrc4kbjmNnT5TRSmNtAW6sVO72/Y6/4lB50/4qjDm3xv9yIHfJ7mqMcjxDW1UB9Uy07zCs6snXVdWcyuraXFv1sWT18ji70lX5dHo0/3sSfWfsZli9u5qPk/zmsmc9byEU5ZP81+j9fY5TcHfVYRhfGNVAfX0RIQw0ZfR1oDfWgMC6M6KoHShCz0mSVk6utIHwbXSqal1VBqEcfOlQUG8fvWTE9xdAOZOnl6x0hKhq6ZGL9o0lKrKa/cwpGjp9i/ZSPri/PovCxP6RBuHOnfIoBGIQU0NLg1uqFoFd5M/+SmCmBsexuRNRk8ru2+HvDttM+IbWo1XgIHK40tJNXWkVVSTF5uFqUZCVQnhlGa409VpivxTc3kZTVSFVnHdi9bjjjO5jv7lzlp8zRnrKdz3nIypx3v4rzd7STXVtIQUHNFFmdfVxYLSgtoCq6nw6ScU2Zzr3tscWoKNcF1bNdUcMjSjLOWUzlt9QQnbF7kmN1bHFr3MVv9F/Jt2Cr0WUXoU5soiW6gIkpPTWQsZXHpV66brBrwdZOpunrCnTzx++gjdq3snvVrX5GO3j1Nntc7AhMfkozPV/Nxmf0SOUEBag9LwihD+rcIoFFIAQ0Nm45vQtEqTI64n/DW2psugU41ydwXMQlFq7A0b5364jdEiW9sJammBV1RMcWZyVQlR9AQ40+r1oWNQdY0J5jRFvcNifW1FKY20ORbQ4fjak5bP8o5ywf4QXMXlzR30Gnxe4MAZlXkUhdW1y9ZLM1Noz6soXsWcs1XvV43ecnqD5yz+wulKfGURTawwaGKXQ4eHLd9ncP2czjg+AV7XZbQ6uHEpwvM+fTT5Xz26TLMv/LEYmUwq53iWeuaiJt3InFBicSHJJOS0YhHbC1ecXV4hBXgHpSNV4ge37A8ArT5REQVkpJYQmpSOelZjcSnN5GQ0URSegMpGQ2kZcn9AYcyiZE6/JYsNlzj5/nhm9SmJqg9LAmjDOnfIoBGIQU0NHR1dTErdRaKVmFNqd9NF8DY9ja+KXJG0Sq8H/U0+XnhqsvacE98UzPJdVXd/61qIaugibKUVFoi3NkQYsdW/zXs8lpKh9s8toV+zM6Q2aRVF1Oc1MBGxyqOWH9D93WTt/V63WRhcQq1UT/K4qKf/f4li9uoM3+IiSbx3GGi+1le/tLeIBQxWfW9HvNjXvjK2XBsXFJl78etymLCqgyeX+SO25w3cPvgLZISiplonsMkcz2TVqcxaUUc96+I5cEVMTy0Ipo3lnrg89V8fBYtICWhmBccCpjpUMBzmhSeXhnOc6vCmbkqnBdNwplr6kvQGnOC12pISSjmc59S5nqV8JFDOnPWhvOheTgfW2j5RKNlmVUoWidvIpx9SUkswzysitUhlazy0bPCIZZVTnGYOsdj5pKArXsicYEJxAUnkZZShU98HZ5xtXhGlOIWqMMzOAfv0Fz8w/MIjiwgJaGYlMQy0jPrScjoFuHE9HqS0+tJy2wkfRBnVpNjCwhYZXL1EXzvvUpRWABnvv9O5RFJGI1I/xYBNAopoKEjeH0w8/K+xqkmSRUBjFnfik/SF1zWjOec/Z2kVRWpLlljJo0tpFRfuW6ytPu6ycT6OtJLmilMbaBRG8EOn+XsdV/AAeePOerwhkEE62ye4CmLOB5fFcGjKyN4ZGUk01ZG8dEyBzwXfY7nV58SXNLAgza53G+lZ6JpKvesSOSuFUn8fWUyf1uZystfOeLy3iu4vDOL0MLq68ricwvdru5GLSi/7rFPLvK6essSfQkTTPs+9tHF/lePTS/g72bZfR47bUnw1WMTsrjPQt/nsQ8u1RqOjdcm85BVbp/H3vdN9FVp9o/mEeu8Xo+bsCqDid/E4vr+67jNeZMYn0hecizkPvMcJpllct+KeCaviOOB5bFMWRHDjOXabhFeuIBY/1g+8y7leYcCXM1scZ79Ei7vzCLH24UThw+qPQwJoxjp3yKARiEFNLRcuHSJOBXk78cktNTxndv9oBnPEc9HiG+oV1+OJL1GX5zEJav/Bs14ygIWklDfNiiJr2sltraV6JoWIsrrCSuqJji/ksDccvyySwnKLiEmv5jo3EJiq5twz2/ANa8Bh+QibCMzsQpPRxOainlIKvZhSWhj4wmPjiGush7TlGpWJVWzNFjHQtcYFjhHM88xis8dovjGOYxgby+CPN2JLank84hy5oaV8b5bOm9ZhPOGeTivrQ3nFbNwPlzrj5+lGX4Wq4nOLeJNv2JmehTytE1atwivimDGFRF+Ybk/nl9/gefCz4hMz+JplwLut9Zzn1kG965I5G6DCKcwZZkWl/dexeXdl9HGxvOwXd+yeO/yOIMsRkRG8ZhDfp/H/n1FsuHYyOAwnnUp5A4THfeszWGxVSBH9uxSe+gRxgDSv0UAjUIKaOgp3rVDNQGMbW8jsyab07Z/xMrrDlZpn1JddCR9pyp1nWEmMDrSc9AkUNKduLpWYmpaiaxoJLy4hpCCKoJyKwjIKcNPV0JMfgnReUXEVdThU9SIW34DjhkV2EZlYa1NRxOWhkVoKhYhKWjjEgiPiSOmoBRbXR3/cOoWxgmmOqq2y+PbhKFH+rcIoFFIAQ09JXuaWF3qo6oEBmWaoWgVFK2Ce9IC1UVH0ndynd4FzXhOWPyBqOwM1aVJ0r/E17Xyhm8xd5joeMA6n/3fn1N76BFGOdK/RQCNQgpoaOk41YGiVZiovY+QlkpVJdA86iUUrcKUsHsJzfNTXXQkvSemroF2qymgGc82S4XY8mrV5UbSv0TXtDDdvvs6w1d8KrlwSe7zJwwd0r9FAI1CCmjoeTvzbRStwspid1UFMKatkY9DH0DRKjwVOY3whhrVZUfSe6KK8jiquR3d2md4xzub+LpW1eVG0r/4lzRx19oc7jDRYZqyXu3hRxjFSP8WATQKKaChJ2R9CIpW4aWU2aoKYGx7G5G12TwW9QiKVuGN1I+JbWpRXXYkvcc7U8cE0yzuMNHxdUyl6mIj6X+sM2u588qGEX277AQWhgbp3yKARiEFNPRcXQaeSFBzmeoS6FqbxqSI7sfFLdJbqi46kr6zML77Hn5/N9ORWKBXXWwk/c+8yAo+Dq3g7IVLag9BwihF+rcIoFFIAd0c3te9j6JV+KbIWXUBjG1vY1WJBw9FTiHH8z5KcoNVFx1J74ltauWL0Fy2+bzMObs7ySwvVF1sJP3Lj8v2tTv2qj38CKMU6d8igEYhBXRziPg2AkWrMDP5TdXl78fUR8wBzXgu2N1ORmWe6rIj6T2J9bV87zoZNOM56j6dpNpG1eVGMrBsOnCE6NrdXLrcqfZQJIwipH+LABqFFNDN4eCZg907cKOmEtZao7r8xba3Ed9azzGPh0Azng0eU4ipq1JddiS9J6sihx9s/wia8RS5vKe60EgGlhc8irjDRId9zka1hyJhFCH9ewwL4Msvv8ztt9/Or3/9a2677TY++OAD9u/fP6DvIQV082g42EDJ7m2qi9+1Sa/No9TlTmaE3s2y8MdVFx1J38lO86XzyjOG44OsVJcaSf9jllpjeIpI9voDag9FwihB+vcYFkA3NzdqamrYvXs3VVVVTJ8+nenTpw/oe0gB3Vw6Tp5QXfp+Gt+stUwMvxdFq+CS8KnqoiPpO+keX4JmPOct/ouolBjVxUbS/3wYUtb9uDhzPdsOn1J7KBJGAdK/x7AA/pSMjAxuueUWLl682O+vkQK6uVzu7CTh2/VEtTWpLn7XxirmNRStwgPh9xKS66G66Eh6T0xjMzW2T4FmPLs1fye8rF51sZH0L7G1rTzlUsAdJjqedCnh1Pn+j9OC0BvSv0UAATh+/DizZ89mxowZ1z3uwoULnDx50pCOjo4xX0A3k7RtaTwR/wyLCmxUl75rE9PWxGehU1C0Co9GP05ofaXqsiPpPdEV5TRppvKGqSvPuhYSJzeJHjEJLW/mPks9d5jomBfZQFdXl9pDkjCCEQEc4wK4atUqfvOb3zBu3DimTZvGsWPHrnu8RqNh3LhxP8tYLqCbSdKWJBStwtMJL6kufT9NZEMRj8U+haJVeCX5fWLkJtHDNm5F9fx1TTZ3mOj4JKxMdbGRXE1gaROeBQ045tRjlVnL6pQalsVXsSCqgqVxVTjn1vPn1TruWqtn6yFZChZuHBHAUSaAfQnatWloaDAcf/ToUbZs2UJ+fj4zZszgxRdfvO6/KmUGUF2+P/89k6/chNm7IVd16ftp3OsymRzR/bg4s0xT1UVH0ndM0qq5w0THV25hlOgCVRefkZr4ulaiqlsIKmvGu7AR59x6XPMaehyzIKqCD0JKecu/hJe9injWtZDHHPN52DaX592vuTdjw3rut841bPj4aabbF7DxwGGCyzZTvf2Q2sORMMIRARxlAnj06FE2bdp03Zw/f77Xr/1R5qqrq/v950kB3XzmF8xH0Sp8lW+puvD1ljUlPiyJeJLzlr+lLMdPddGR9J3gpCguWf+eiza3kVOcpbpM3ez8dPl7XXYdFum1rEqqZklcJfMjK/g4tIx3AkqYH1nR49hp9nnctTaHCaY/F7UnnAop3bKTqu27qd/VwRSb/D6l7nGnYs79cNFwj79XvCt4wDqfx52KecmrnHcCq/k8ooFl8S045W5SefQRRhPSv0eZABrD3r17GTduHCUlJf3+Gimgm0/6tnQUrcIT8TNVl72+siVyLmjG84PtH8mqyFFddCS9J76xicNej4FmPCecJ5JQUa26lPVX3LSVLQSUNuHxk+VS26y6Hse+6VfMi55FPOVSwCPr8njAOpd7LXL4y+psnnUtJKmxnfSWDWSv38xda3P6FLWZ7qXsOf49B06c4ujpM0yzL+zx+xNMdUzU5PLIuiI+09b3+DvrUbAV++yNeBdtJbxyJ8mNHeR+e5Cq7UfZdFDGTkEdpH+PUQGsq6vD29ublpYWdu/eTXFxMY8++ih/+ctfuHDhQr+/jxTQzefUD6e4P/J+FK2CR71OddnrLfFtjRzxfITLmvEE+04iprZcddmR9J7U6hLO2v8ZNOOpsHue+NqWIRO3H5dLg8uaCSlvNrweW9vKisQqFsVU8rm23LBcOuvKcukn4eU95O/OPiTtDhMdL3uX0rh7H20dB9l44DB3m+v7PPZVn8oef7feDazhVZ9KPgipZUF0IyuTWrHO2oBb/haSGjt6HLvxwEm2HT7NoZPnOXPhkmzIEEYc0r/HqACuX7+eJ598kv/8z//k17/+NXfeeSdffvkl+/btG9D3GaoC6urq4uL585I+8nXuV0wOmciXWauJbmoYlkmpzGGl911MDpnI4qAZRFfXEVPbIBmGiUwM4cza/+Ki+X+Q5L6YuMqGXhNTWY9vXg0uuirs0yuwSC5nVVwpS6OK+TKsiLVJZYZjI8vqeNohhxk2Oh7UZKKsyeBvq9L4y8ruvOGVR3bTevJaN1CwfqPh9d7ynl8JB48d59j333Py5Ckmrc3iLyvTuNs0g4css3lyXR4vuxfynl8p9hmtPf6uRJRtJrJ8C6l1O8hv20PNlgO07z7MroPHOXbilOp/lyWS/mQo/oEhAjhGBXCwGKoCunj+PC6zX5JIJBKJZMzn4vner903BhFAEUCjEAGUSCQSiWRoIwI4NIgAGoEsAaubul07VF/q/aVENdQxL/gRJodM5NGIxwiuLFR9yXM0J66qkoTKUsP/63OjOLbuXi6Y/ycXzf/jZzmfbW6opzNHOmhOWEdmZathuXTH/uOq17lEMtYjS8BDgwigEUgBqUdXVxele2v5Ms+cmPWtqm/8uF7CW2v5R/xzKFqFl5JmE9PUrPrmh5GehIZ69CUpVGW68m3MIjr8X+Kk0710av6DTYnLKdu+i5Z9B9i7oxU047uz7nYIeQ4yF0ONP2wvhjNH1S5lQRBUQPq3CKBRSAGpx7lL53go+iEUrYJzbYrqkvdL8arP4YHIKUyOuJ+ExCWqC9RISUJDPTklKWSXZRhey6rIoVPzH1fF7qdJnX+1UDo7u0Xv1EGQnaqCIFxB+rcIoFFIAanLyrKVKFqFT3JWqC54/YldsS+tThO6bzmi81RdroZT4puayblmRm9vwCzDjB6a8RyMeJ/mfQfYeew7jp08QZfVf/1kRs9PRE8QhH4j/VsE0CikgNSlaE8RilZhesxjxKxvUV3w+pON0fNAM56LNrehK8tUXbxudhIaGsgpTaUq05XybJ9rXq+nq69ZvXW3Q8ainj/8M0dF9ARBuGGkf4sAGoUUkLr8cPkHpsVMQ9EqOFQnqC53/UlcWxOHvB9nvd1/82mQQkxtiepSNmRpaqUyy532mK/ZG/AyJ50VOi1/ZxC7037/YMex4xw7c5aLly9D4BMQ8ixkfC0zeoIgDCnSv0UAjUIKSH3WVKxB0Sp8nL1Mdbnrb5LqC3ku5B4UrcKC0GnENraoL2uDMKPXHvM17bFXr2/M+HYT5x3/7+czeva3d4te7hq1y0cQhDGK9G8RQKOQAlKf8o5yFK3C1OgZRI+QZeDY9jYC9Q5MDr8XRatgF/uO6iI3kDQnrmZvwMuccJ7YY0YPzXguOUzg2Jmz/HD5cvcPKHdN9/JttS9sK4ST+2VGTxAE1ZH+LQJoFFJA6nOx8yIz4mYwPeYxfBryVBe7gWRd/PsoWoVJ4QqOZTGqi11ccxsJjY3klKZRmeVmWLo95P0Ecc1tpLdvpGTbTk4FPPuTGb3/D4KfuSp6nZfVLgtBEITrIv1bBNAopICGB7tP7qbl4D7VhW6giWlr4fOYFw0zmEF1pTdN9OIbm3r8/7cxX/c6o/djfjj73dUPfH0SVPvIjJ4gCCMW6d8igEYhBTR8OHH+vOpCdyPRttbxZMILKFqFmYlvEN3UNKiil9DYSHZpevdmjNgl7Al8hRPOE7ls9d9ktjZTsm0nzR37OZk47+czeukLr4repQtq/4gFQRAGDenfIoBGIQU0vMjaspHQlmptBl/yAAAXtUlEQVTVpW6g8WnI48Goh/k46imaIz4xSvSundnbEL2gzxk9NOPhQNvVD+9AK2wrgBP7ZEZPEIRRj/RvEUCjkAIaPuh36ZkR+xjvZ32lutDdSKIKvOi8ImZVma79mNHz6DGj96Po1TUW0tyxn+3HjnOmyLFb9Oz+BEFPQfpXUOUNWwvgRIeIniAIYxbp3yKARiEFNHxoONiAolV4MOphItsaVRe6G0l73KLum0Rb/57kggiyS9Op0HmQUlNmEMD1ccv6ntGz+xPsKLn6oZw5KqInCILQC9K/RQCNQgpo+NDZ1clTCU+haBUsK8JUl7kbSdz6Zrb5Psnn/n9hVtDfuXxF7LZXRrP92HGOnjnDxfbUn8zoecmMniAIwgCR/i0CaBRSQMMLhzoHFK3CO5nzVJe5G81HGfO6dwWH3cM5+z9C0JOwJffqSV6+JKInCIJgJNK/RQCNQgpoeNF6pBVFq/BA5BQi2upVl7mBRlMegqJVULQK+g0xInqCIAhDhPRvEUCjkAIaXnR1dfFc0nMoWgXz8iDVhW4g8W7I5YHIKShaBad6J7U/SkEQhFGN9G8RQKOQAhp+uDa6omgV3kr/VHWp62+0rXU8ET+z+5nG+o+52HlR7Y9REARhVCP9WwTQKKSAhh9bvtvCulpHXGvTVRe7/mZO1kIUrcKTCU9y9NxRtT9CQRCEUY/0bxFAo5ACGr4U7tiuutj1N2EthbyW/jrNh5vV/tgEQRDGBNK/RQCNQgpo+LL12DHVxa4/SdzQzskL5+ns6lT7IxMEQRgzSP8WATQKKaDhSVdXFyV7y5iTtYiwYfpouKDmUhyqE9hz4nu1Py5BEIQxh/RvEUCjkAIannR1dfFq2qsoWgXTUm/VZe+niVrfxMzkN7kv4j4yt2eq/XEJgiCMOaR/iwAahRTQ8MWv1Q9Fq/Bq6hzVhe+n+SRnBYpWYVrMNHaf3K32RyUIgjDmkP4tAmgUUkDDl50ndqJoFe7TTiKkpVJ16fsxZmUBhps9F+0pUvtjEgRBGJNI/xYBNAopoOHNW5lvoWgVVpV4qC5+se1teNZnc3/kgyhaBc8mT7U/HkEQhDGL9G8RQKOQAhreBK8PRtEqzEp5R3X5C2ut4fG4Z1G0Cp/nfc7lzstqfzyCIAhjFunfIoBGIQU0vNl7ai+KVmGidiJBzeWqCuDSQkcUrcKzSc/y3fnv1P5oBEEQxjTSv0UAjUIKaPjzbta7PJXwHC61qaoKoG7LZiK+jaT9aLvaH4kgCMKYR/q3CKBRSAENf05cOMHO746rKn9JG9o5deGC2h+FIAiCcAXp3yKAXLhwgUmTJjFu3DhaWloG9LVSQCODi5cvk/Dt+psufgFNxczJWsiWYwfU/ggEQRCEa5D+LQLI4sWLeeGFF0QARznFO7fi11hw0+Qvsq2R5xK7b0a9vHS52qcvCIIgXIP07zEugDk5Odx1111s2LBBBHAUU7W/ioejp/J80ms3TQA/1C1B0So8EvsIHac61P4IBEEQhGuQ/j2GBfDQoUP86U9/oqGhgV27dvVLAC9cuMDJkycN6ejoGPMFNBI4cvYIE7UTUbQKfo2FQy5/piVeht3H5R3lap++IAiC8BNEAMeoAHZ1dTFz5kxsbGwA+i2AGo2GcePG/SxjuYBGCp/kfoKiVfi6wHZI5c+tLoPJEfd3y2arn9qnLQiCIPSCCOAoE8C+BO3aNDQ04OnpySOPPMLly90345UZwNFPwuYEFK3CM4mzhkz+QluqeDT2SRStwoKCBXR2dap92oIgCEIviACOMgE8evQomzZtum7Onz/Pq6++yq233sqvfvUrQ8aNG8evfvUrPvroo37/eVJAI4fj548zKWISilbBpyFvSATQoz6LR+P+wczkmZy4cELtUxYEQRD6QPr3KBPA/rJnzx7a29sNycvLY9y4cSQnJ9PR0f8L9qWARhbz8uehaBUW5lsNiQDqt23l8JkjbP9+u9qnKgiCIFwH6d9jVAB/Sn+XgH+KFNDIInVrKopW4cmEFwZV/CLbGkje+C2nf/hB7VMUBEEQ+oH0bxFAQARwrHDiwgl8W3wJaBq8JWC/xgKmxzxO5LeJap+eIAiC0E+kf4sAGoUU0Mikbl/HoMhfRFsDTyfMQtEqvK97n8udl9U+NUEQBKEfSP8WATQKKaCRyaHTp42Wv5j1rbyf9RWKVuGx+Mc4eOag2qclCIIg9BPp3yKARiEFNDIp2l3E7IzP8KjLumEBXFnsjqJVuC/iPmoP1Kp9SoIgCMIAkP4tAmgUUkAjkyXF3Y9p+yJ39Q3Jn0ttKpMiJqNoFULbQ9U+HUEQBGGASP8WATQKKaCRiX6nHkWr8Gjsk8Ssbx2Q/IW0VPJIzD9QtApLipfQ1dWl9ukIgiAIA0T6twigUUgBjUzOXjzLlOgpKFoFl9rUAQlg9PoWTMtseTntZU7/cFrtUxEEQRBuAOnfIoBGIQU0cllRugJFq/CZftWABDBv+1Y6u7o4d+mc2qcgCIIg3CDSv0UAjUIKaORSuLsQRaswPeZxYta3/KL4udamk/htK2cvXlT7rQuCIAhGIv1bBNAopIBGLhcuX2BqzFQUrYJjTeJ15c+7IZcHIx/izYy3OX7+uNpvXRAEQTAS6d8igEYhBTSyWV2+mpdTX8euKqZP+dO21vFE/EwUrcJHOR9xsVNmAAVBEEY60r9FAI1CCmhkc/HyRY6fO3vdmz3PzvgCRavwRMITHDl7RO23LAiCIAwC0r9FAI1CCmh0kLVlU68CuKzIEUWrMDliMk2HmtR+m4IgCMIgIf1bBNAopIBGBzUd23GuSe4hf441idwXMQlFqxC9MVrttygIgiAMItK/RQCNQgpo5LPp+Cbuj7yfh6KnE72++crSbwtPxD+PolVYWbZSbvYsCIIwypD+LQJoFFJAI59LnZd4PP5xFK2CbVWUYQYwd3sjK8tWcvbiWbXfoiAIgjDISP8WATQKKaDRgXW1NYpWYU7WQmLb2yjcsZ1OmfUTBEEYtUj/FgE0Cimg0UH9wXoUrYKiVbCvjuD8JbnViyAIwmhG+rcIoFFIAY0OLnde5v7I+w0SWHugVu23JAiCIAwh0r9FAI1CCmj04FTvhKJV+CT3Ey51XlL77QiCIAhDiPRvEUCjkAIaPZy9eJasHVmy6UMQBGEMIP1bBNAopIAEQRAEYeQh/VsE0CikgARBEARh5CH9WwTQKKSABEEQBGHkIf1bBNAopIAEQRAEYeQh/VsE0CikgARBEARh5CH9WwTQKKSABEEQBGHkIf1bBNAopIAEQRAEYeQh/VsE0CikgARBEARh5CH9WwTQKKSABEEQBGHkIf1bBNAopIAEQRAEYeQh/VsE0CikgARBEARh5CH9WwTQKKSABEEQBGHkIf1bBNAopIAEQRAEYeQh/VsE0CikgARBEARh5CH9WwTQKE6cOMG4cePo6Ojg5MmTEolEIpFIRkA6OjoYN24cJ06cUFslVEME0Ah+LCCJRCKRSCQjLx0dHWqrhGqIABpBZ2cnHR0dnDhxYsj+dTJaZxfl/EZ+Rvs5yvmN/Iz2c5Tzu/GcOHGCjo4OOjs71VYJ1RABHKacPDm6r0+Q8xv5jPZzlPMb+Yz2c5TzE4xBBHCYMtoLX85v5DPaz1HOb+Qz2s9Rzk8wBhHAYcpoL3w5v5HPaD9HOb+Rz2g/Rzk/wRhEAIcpFy5cQKPRcOHCBbXfypAg5zfyGe3nKOc38hnt5yjnJxiDCKAgCIIgCMIYQwRQEARBEARhjCECKAiCIAiCMMYQARQEQRAEQRhjiAAKgiAIgiCMMUQAVcLX15c777yTX//61zzwwAOUl5df9/jS0lIeeOABfv3rXzNhwgT8/f1v0ju9cQZyjiUlJb0+pmfTpk038R33n7KyMmbNmsUf/vAHxo0bR1pa2i9+zUj6GQ70/Ebaz8/e3p4pU6bwb//2b/zP//wPr776Kps3b/7FrxspP8MbOb+R9jP08/Nj4sSJ/Pu//zv/f3v3HxNlHccB/EsHx48TkVOSJfJjDvPIH0XK2IIwKGFT0o3WsmHX/KNAC8xWkbXkD3HLCtvMyh/M/mmaCrQ2aKElgRJh7oCjm4BxgFM2EwuPQRby7o/GjQeeO+5A4L7d+7XdH/e97/ee78fPdnt79zwPwcHBSExMRGVlpdM1svQPcL8+2fo31t69eyGEQH5+vtN5MvXQ0zEAzoITJ07Az88PR44cgcViQX5+PnQ6Hbq6ulTnd3R0ICgoCPn5+bBYLDhy5Aj8/Pxw+vTpGd6569ytceTDq7W1FT09PfbH0NDQDO/cNZWVlXjnnXdQWlrqUkCSrYfu1idb/9LT03Hs2DG0tLSgsbER69evR2RkJPr7+x2ukamHk6lPth5+8803qKioQGtrK1pbW7Fr1y74+fmhpaVFdb5M/QPcr0+2/o3W0NCA6OhorFy50mkAlK2Hno4BcBYkJCQgJydHMbZs2TIUFBSozn/zzTexbNkyxdjLL7+MxMTEadvjVLlb48iH1x9//DET27unXAlIMvZwhDsBUMb+AcCNGzcghMCPP/7ocI7MPXSlPtl7CAChoaE4evSo6msy92+Es/pk7Z/NZkNsbCzOnDmDlJQUpwHw/9BDT8IAOMPu3LkDjUaDsrIyxXheXh4ef/xx1TXJycnIy8tTjJWVlcHX1xd///33tO11siZT48iHV3R0NMLDw5GamooffvhhJrY7Za4EJNl6OJo7AVDG/gFAe3s7hBAwm80O58jcQ1fqk7mHQ0NDOH78OLRaLX799VfVOTL3z5X6ZO3fCy+8gB07dgDAhAFQ5h56IgbAGXbt2jUIIXDhwgXFeFFREZYuXaq6JjY2FkVFRYqxCxcuQAiB69evT9teJ2syNV6+fBmHDx/GpUuXUFdXh9zcXPj4+Dj9xsJTuBKQZOvhaK7UJ3P/hoeHkZmZiaSkJKfzZO2hq/XJ2MPm5mbodDpoNBqEhISgoqLC4VwZ++dOfTL27/jx41i+fDkGBwcBTBwAZeyhJ2MAnGEj4aiurk4xvmfPHjz44IOqa2JjY7F3717F2Pnz5yGEQE9Pz7TtdbImU6OaDRs2IDMz815v755zNQDK1MPRXL3IZSxZ+rdt2zZERUXh6tWrTufJ2kNX61Pj6T28c+cO2tvbcfHiRRQUFGDBggUOvyGTsX/u1KfGk/vX3d2N+++/H42NjfYxVwKgbD30ZAyAM4w/AavXqGbPnj3jzvfwRPwJWJ0M/XvllVcQERGBjo6OCefK2EN36lMjQw9HS0tLw0svvaT6moz9G8tZfWo8uX/l5eUQQkCj0dgfQgj4+PhAo9GoXrzyf+ihJ2EAnAUJCQnIzc1VjBkMBqcXgRgMBsVYTk6OR5/46m6NarKysvDEE0/c663dc65eBCJbD0dMNgB6cv+Gh4exfft2PPDAA2hra3NpjUw9nEx9ajy5h2pSU1NhNBpVX5Opf444q0+NJ/fv9u3bMJvNisfq1auRnZ3t8FzV/0MPPQkD4CwYuUVKSUkJLBYLduzYAZ1Oh87OTgBAQUEBtmzZYp8/cun7a6+9BovFgpKSEo+/9N3dGvfv34/y8nK0tbWhpaUFBQUFEEKgtLR0tkpwymazwWQywWQyQQiB4uJimEwm+21uZO+hu/XJ1r/c3FyEhISgurpaccuMgYEB+xyZeziZ+mTr4dtvv42amhpYrVY0Nzdj165duO+++1BVVQVA7v4B7tcnW//UjP0JWPYeejoGwFly8OBBREVFQavVIj4+XnGirtFoREpKimJ+dXU1HnnkEWi1WkRHR0tx80t3anz//fexZMkSBAQEIDQ0FElJSU5PeJ5tjm66OvK/c9l76G59svVPrTYhBI4dO2afI3MPJ1OfbD3cunWr/fMlLCwMaWlp9nAEyN0/wP36ZOufmrEBUPYeejoGQCIiIiIvwwBIRERE5GUYAImIiIi8DAMgERERkZdhACQiIiLyMgyARERERF6GAZCIiIjIyzAAEhEREXkZBkAiIiIiL8MASERERORlGACJSEqj/2zU2D8hNdtu3ryJsLAwWK3WGT92VlYWPvrooxk/LhHJhQGQiKaN0Wi0/x1ajUaDxYsXIycnB7du3Zrye48Ofb29vbh9+/aU3/Neef3117F169ZZOXZTUxP0ej36+vpm5fhEJAcGQCKaNkajERkZGejp6cHVq1fx3XffYdGiRXjuueem/N6e8K3fP//8M25sYGAA8+bNQ11d3Szs6D/x8fH49NNPZ+34ROT5GACJaNoYjUZs3LhRMbZz507o9Xr782+//RaPPfYYQkJCoNfrsX79ely5ckWxpr+/H1u2bIFOp0N4eDg+/PBDpz8BR0VFYf/+/Yr3WLVqFXbv3m1/furUKSxfvhwBAQHQ6/VIS0tDf3+/w1qsViuEEDh16hSSk5Oh1Wpx8uTJcfNKS0uxYMEC1bWlpaVITk5GQEAA4uPjYbVace7cOaxZswaBgYFYu3Ytent7p7yusLAQycnJDmshImIAJKJpMzYA/vbbb4iLi8PChQvtY6dPn0ZpaSna2tpgMpmQmZmJFStW4O7du/Y5ubm5iIiIQFVVFZqbm7FhwwbMmTNn0gHw+vXr8PX1RXFxMaxWK5qbm3Hw4EHYbDaHtZSXl0MIgdWrV6Oqqgrt7e34888/x83Lz89HRkaG6tq0tDTU1tbCZDIhKioKSUlJyMjIQENDA37++WfMnz8f+/btm/K6yspK+Pv746+//nJYDxF5NwZAIpo2RqMRGo0GOp0OAQEB9vMBi4uLHa65ceMGhBAwm80AAJvNBq1WixMnTtjn9Pb2IjAwcNIB8NKlSxBCoLOz0+VaCgsLodPpJrywY+PGjePO/yssLERoaCh+//13+9iLL76IyMhIxbeOGRkZ2Llz55TXNTU1uV0fEXkXBkAimjZGoxFPPvkk2tvb0dTUhFdffRXp6emKc+euXLmCzZs3IyYmBsHBwdDpdBBCoKKiAgDQ2NgIIQS6uroU7/3www9POgAODQ0hLS0NwcHBeOaZZ3D48OEJL0zZtGkTNm/ePGHN69atw7Zt28atNRqNirHU1FS89dZbirG4uDgcOHBgyuva2toghIDFYplwv0TknRgAiWjaqJ0DuHbtWrz77rv25waDAevWrcPZs2dhsVjQ0tICIQTKy8sBACaTye0AGBMTM+5bxri4OMU5gMPDwzh//jzee+89rFixAmFhYejo6HBYS0xMDA4dOjRhzc8///y4oBgTE4PPPvtMMabX61FWVmZ/Pjg4CF9fX9TW1k55XX19PYQQim8OiYhGYwAkommjFgDPnTuHgIAAXLt2DTdv3oQQAjU1NfbXa2trFQHQZrPBz88PX331lX3OrVu3EBQU5DAAJiQk4I033rA/7+vrQ2BgoCIAjjY0NIRFixY5vH9eX18ffHx80NDQMGHNH3zwAVatWjVubX19vX2ss7MTQgjFz8m//PILfHx87Lezmew6ADh69CgiIiIm3CsReS8GQCKaNmoBEAAeffRRbN++HXfv3sX8+fORnZ2N9vZ2fP/991izZo0iAAJATk4OIiMjcfbsWZjNZjz99NNOLwIpKChAeHg4ampqYDabsWnTJsyZM8ceAOvr61FUVISLFy+iq6sLJ0+ehFarRWVlpWodNTU10Gg0GBwcnLDm5uZm+Pr62n9SHlk7MDBgn/P1119j3rx5inUlJSVYsmTJuGO6uw747999tu5DSERyYAAkomnjKAB++eWX0Gq16O7uxpkzZ2AwGODv74+VK1eiurp6XAC02WzIzs5GUFAQFi5ciH379jm9DUxfXx+effZZzJ07F4sXL8YXX3yhOAfQYrEgPT0dYWFh8Pf3x9KlSxXn0I114MABPPTQQy7XnZiYiM8//9zh2t27dyMlJUUxlpeXh6ysLKfHdGXd4OAg5s6di59++snl/RKR92EAJCK6xyoqKmAwGBS3spkpn3zyCZ566qkZPy4RyYUBkIhoGnz88cfo7u6e8eMeOnQIly9fnvHjEpFcGACJiIiIvAwDIBEREZGXYQAkIiIi8jIMgERERERehgGQiIiIyMswABIRERF5GQZAIiIiIi/DAEhERETkZRgAiYiIiLzMv//htf53YXg6AAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.412953\n",
      "3.329596\n",
      "3.5415926\n",
      "3.0282776\n",
      "under -3.142: 5 \t Above 3.142: 1\n"
     ]
    }
   ],
   "source": [
    "chiDiscAtPi = 1\n",
    "pi = numpy.pi\n",
    "two_pi = 2*numpy.pi\n",
    "\n",
    "ai = AzimuthalIntegrator(1, 2.2e-3, 2.8e-3, rot3=-0.4, detector=det)\n",
    "if chiDiscAtPi:\n",
    "    ai.setChiDiscAtPi()\n",
    "    low = -pi\n",
    "    high = pi\n",
    "else:\n",
    "    ai.setChiDiscAtZero()\n",
    "    low = 0\n",
    "    high = two_pi\n",
    "\n",
    "pos = ai.array_from_unit(typ=\"corner\", unit=\"r_mm\", scale=True)\n",
    "\n",
    "_ = display_geometry(pos)\n",
    "over = 0\n",
    "under = 0\n",
    "for i0 in range(pos.shape[0]):\n",
    "    for i1 in range(pos.shape[1]):\n",
    "        p = pos[i0, i1].copy()\n",
    "        area = area4(*p.ravel())\n",
    "        area2 = None\n",
    "        if area>=0:\n",
    "            az = p[:, 1]\n",
    "            if chiDiscAtPi:\n",
    "                m = numpy.where(az<0)\n",
    "            else:\n",
    "                m = numpy.where(az<pi)\n",
    "            az[m] = two_pi + az[m]\n",
    "            c1 = az.mean()\n",
    "            print(c1)\n",
    "            if c1>high:\n",
    "                az -= two_pi\n",
    "            over += (az>high).sum()\n",
    "            under += (az<low).sum()\n",
    "#         print(i0, i1, area)\n",
    "        \n",
    "print(f\"under {low:.3f}: {under} \\t Above {high:.3f}: {over}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "coral-adapter",
   "metadata": {},
   "source": [
    "## Effect of pixel splitting on 2D integration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "closed-given",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            '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",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 overridden (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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = pyFAI.test.utilstest.UtilsTest.getimage(\"Pilatus1M.edf\")\n",
    "fimg = fabio.open(img)\n",
    "_ = jupyter.display(fimg.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "indie-armenia",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "SampleDetDist= 1.583231e+00m\tPONI= 3.341702e-02, 4.122778e-02m\trot1=0.006487  rot2= 0.007558  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1583.310mm\tCenter: x=179.981, y=263.859 pix\tTilt=0.571 deg  tiltPlanRotation= 130.640 deg\n"
     ]
    }
   ],
   "source": [
    "# Focus on the beam stop holder ...\n",
    "poni = pyFAI.test.utilstest.UtilsTest.getimage(\"Pilatus1M.poni\")\n",
    "ai = pyFAI.load(poni)\n",
    "print(ai)\n",
    "ai.setChiDiscAtZero()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "specified-threshold",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            '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",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 overridden (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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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7cOf/vQn1NXV4Uc/+hF+/vOfY+vWrZg/fz6cTqdyjsxjHwwGMXXqVGzduhWPPvoosrOzUV5ejjlz5qCqqgovvPCCvP5NnTq108cdAA4cOID+/ftD13XceeedePHFF/HjH/8Y11xzDX72s58BAO677z44HA78v//3/5T3bty4EUIIvP3222hpaZHfj9tuu00eZ3Oh43Tc65nXueHDh+OJJ57A888/jzFjxsDtduMvf/lLl44HiV8o0ElcctVVV8HtdisFft555x0IIXDdddcp2/7gBz+AEOKUbqzq6+uV7e69914IIfDPf/5TPtddIdxCCDzxxBPK85MmTUKfPn3k402bNkXdbvXq1RBCYPv27TH38Zvf/AZCCGzZsqXNuQghoGka9uzZI5/7/PPPUVFRgbKyMvlcR4vEncnjY87fei7POeccTJs2rc3xY4W4b9u2Ta7gW3n88cchhMC3vvUtAMYNmhACN998s7LdY489FvEdNL9bX//619ucE2Ac9xMnTqB3797K99s89vabkWuvvRZCCDQ3NyvPT5s2Denp6e3uLxpVVVVISEhQFnHs/OUvf4HT6VSKJB09ehQZGRnKjWV7Ie5CCLz++uvK8/369cOECRPk48WLF0fdrq6uDg6HA++++y6A8M3dgAED8Pnnn8vtfv3rX0MIERERQnoOX/briN0LvHLlSggh8L//+78AgLVr10II0eYi1T333AOn04ldu3Ypzz/11FMQQuD5558H0DmBPmLECOTl5eHo0aPyuQMHDiA9PV35/e3o7240Pv30UwghpOc4FsFgEA6HA7/73e+U58ePH4/k5GQZcdDRInHdGeJu/9z19fXw+XxKGpRdoE+ZMgXnnntum+PHCnE3v/v27+nrr78OIQRuueUWAMC//vUveL1eXHHFFcp2r732GoQQUQX66NGj2/vY+Pzzz9Ha2opx48Ypi2bmsR80aJASHbVhwwYIIXDppZcq45jXP3PRoTPceeedEEJgx44dMbc5cOAAkpKScM011yjP9+vXT1lway/Evbvv9YQQyM7OxoEDB+Rze/bsgdPpxD333NP2BydfOCjQSdxx2223QQghPZ8mDzzwAIQQEVV5W1tb4Xa7T+nGatu2bcp25o3Dr371K/lcd91YORwO5cYFMMSIz+eTj2fNmgVd1yPylT/++OOoAtHK/v37kZaWhj59+uDBBx/E22+/HXU7IYTibTExbx7MleAzLdA7cnzM+VvPZVVVFbxeL26++Wa8/PLLOHLkSMT4sQT6TTfdBCGE9PKanDx5ErquyxsV8zv4f//3f8p20b6D5nfrmWeeidhfa2srVq5cib59+yIhIUEJkZs4caLczjz2mzdvVt6/efNmCGGEz1sxvR5dCXPPzc2NGtZn59JLL0Xv3r3ld/M73/lOxDFpT6Dn5OREPD979mxUVFTIx8OHD0e/fv0itjNvJh988EEA4Zu7xYsXK9sdO3YMQgisWrWq3c9Evnx82a8jQgh8+umnyvPm38KKFSsAAK+88gqEELj44ovx+OOP46OPPooYa9SoURg4cCBaW1sVO3jwIBwOB2666SZl7PYE+qFDh+B0OtHY2Bhz3iYd/d2NxsmTJ1FaWor8/HysW7cOb7zxRkSKDGAI3HPOOSfiefOcvfrqqzE/3+kW6NZoKSAs1qyL5naBfuedd8LhcKCurg7btm2LKlJjCXTzu//rX/864j19+/bFiBEjAADPP/88hBD48Y9/HLFdUVFRVIFuXywyefDBBzF48GB4vV7lOmf9rTeP/ZIlS5T3vvjii21e//7whz9E3WdbjBw5MiLlJRrNzc1ISUmRaR47d+6MOCbtCfTuvtcTQmD27NkR+8rJyUFtbW27n4l8saBAJ3HF8uXLIYTAypUrI15bsWIFhBBRbzKys7NP6cbK7j2IJkpPZxE0u+AdN24cSktLo47hdruxYMGCNvfz5ptv4oorrkBaWhqEEMjNzcXSpUtx4sQJuY0QIuo4Dz74IIQQ0uNwpgV6R46POX/ruTx06BCWLl2KPn36QAgBn8+Hyy67TAlTiyXQ58+fD7fbHXVOpaWl+M///E8AnfsOmt+taDdDTU1NcDqdWLJkCbZt24bXX38du3btwqBBg6Le/FhTDqxj27+3p1J8yO12o6qqqt3tzBsVc3FgyJAhGDlypLJNV4rEzZ07V7nxLS0tjVrca/fu3RBC4K677gKg5qDbsX9HSM+gJ1xHov1eHT16FEIIXHvttfK5LVu24KKLLpICqX///rIuBwCUlZUpwslu5m9CRwW6/e/Tys0336z8/nb0dzcWH374IaqqqpCdnQ0hBNLT09HU1KR4GIPBYNRxXnjhBQgRjjQ7GwLd/jsdbX92gd7a2op169Zh8ODBcDgccLvduOiii5TvXiyBbn73o3UgGDdunIyc+/73vw8hwpEYVkaMGBH1GmX3AAPAunXrIIRAbW0ttm7dil/96lfYtWsXJk6cqBzDWL/hnb3+dYSysjJcdNFF7W733nvvwel0ysWBr371qygoKFCitLpSJO5U7vWEMHLQ7ZyJ4pbkzEOBTuIG86bKzKWyczo9H/Em0GfNmoXExMSYq6p2b2EsTp48id/97ncyJMwaBhWvHvSuCnQre/bswfe+9z1kZ2cr4WRd9aCbq9Zd8aBHu4lIS0tDZWVlxPP5+flnTaB31IMOGOkEU6dOxS9+8QsIIfDoo48qr3eHQG/Pg75p0yYAFOhEpadcRzriQbdy7Ngx/PznP8eECRMghMAvf/lLAMD555+PAQMGYNeuXVHNFHn//Oc/lb87EzPU3OpBdzgc3eJBj+YtjMW7776LFStWwOVyoaamRj4fzx70rgh0K5999hmefPJJ9O7dG+np6TJcv6se9PPPPx9A2x70YDDYoWsUAAwePBhjxoyJeH7UqFFnTaB31IMOGOd64MCB+Nvf/gaXyxWx6NQdAr0z93oU6D0LCnQSF5h5QbfddlvMbf74xz9CiNOTO9iRG6shQ4Zg+PDhHfo8sejoj7YZwvX0008r25kX3rbyp2KRmpqKyy+/XD4WInYOunVFt6MC/UweH3P+7Ykvc2HCvHFZtGgRhBAR4e9mKN369euV502h+dBDDwEA3nrrLQghZNinSVs56NFuItLT05WbSMCoeixE9Py+MyHQzRx0e9hlNL71rW/B6XRi9OjRyM7OxvHjx5XXn332WQgRzl+10lGBbobr2xdDGhoaouagU6CTnnQdESJ2DropOqPxu9/9DkIYBRwB4K677oLf78f777/f5j5PnjwJn88Xkb9sprh0JQe9o7+7neHcc8/FsGHD5OO2ctCTkpI6nYM+ffp0BAKBTs/LSncJdBMzV9tMZ/vmN78JIUREPZE//elPECKydolZr+PWW28FYFQV93q9mDVrlrJdWzno0QT6kCFDlLoiAPD73/8eTqfzrAl08zdi586d7W67fft2CCEwduxYeDyeiMrxb775JoQQeOCBByLeezru9SjQexYU6OSsYxaymThxolIZNVqF1KuvvlrmxZnVd/Py8k65+m5Hbqzmzp0Lr9eLH/3oR/j1r3+ttMQyC1+1R0d/tM3KnklJSVi/fj127NiBZcuWISEhod0q7s899xwuueQSbN68GTt27MD27dtRW1sLIdSiO0LEruL+ox/9qM1jEU0wn8njY87fei6HDx+OO++8E1u2bMErr7yCTZs2ISMjQwm/Ns/3smXLZLjd8ePHZTXhhIQELF++HDt27MC6deuQmJgYtYq7y+XCkiVLsGPHDqWKu7VQWls3EV//+tfh9XrxjW98Azt37sS9996LrKwsFBQUdLtAN59rr4+9WcU9EAhgw4YN2LlzJ3784x9j4cKFsoq7yZEjR5CRkRFTDL3//vsQQmDatGl49dVXsWvXLunt66hAN6u45+Tk4Fvf+hZefPFFNDc3w+FwKCKBAp0APe86EquK+yWXXCK3u/322zFv3jw8+uij+PnPf44tW7Zg7NixSEhIwFtvvQXA8HgPHjwYBQUFWLduHXbs2IEXX3wRDz30EC6//HIlf37BggXw+XxYt24dXnrpJdx9990455xzIo7H9u3b4XQ6ccEFF+AnP/kJnnrqKQwbNgyFhYXK5+vM766d3//+9/iP//gPfPOb38QLL7yAnTt34tZbb4XT6ZTFzoDIKu4vvPCCrOK+evVquV1HBbr5e/rAAw/I1CTreYnmubZzKgJ9ypQpWLx4sewA8sgjj6CoqAjBYFCmsJnfu5qaGvzyl7/Erl27ZNh/dXU1HA4Hrr32Wrz44ovYvHkzAoEACgsLlYgMc4G0pqYG27Ztw7e//W0UFhYiNzdXKZTWlkA3q5YvXboUO3fuxAMPPICcnByUlpZ2u0A3n4vmzbZiVnFPTEzEXXfdhe3bt+OZZ57BokWLZBV3K/369YMQAldffXXEa4cPH5ZtGl9++WXs2rVLtlU8Hfd6FOg9Cwp0ctaJ1VvUNCvHjx/H9ddfj0AgAJ/PJ3sdn2r/2o7cWH344Ye4+OKLkZSUBCHU/rXnnXde1MJXdjojQPft24fa2lrk5ubC7XYjGAxiyZIl7bae+dOf/oSvfe1rKC0thaZpSElJwfDhw/Hwww8r25k/9g888ABKS0uRkJCAiooK/OAHP2j3WESb75k+PvZzuXjxYgwdOhRpaWnwer0oKSnBddddp9x0HD9+HAsWLEBWVhYcDodyM3T06FHcfPPNCAaDsgd4XV1dzD7o9u9gSkqK4pVrS6B/9tlnmD9/PgKBAPx+Py644AK8+uqrMXvMnopAv/7662Vf2vbYvXs3qqqqkJOTI3sSz5o1K2rP2crKSrjd7qi5vIDh1SkuLobL5VJunDoq0AGjD/qVV16JjIwMJCQkoE+fPlizZk3MPuh2KNB7Dj3xOvLmm29izJgx0DQN6enpqKurU3qXb926FZdccgny8/Nln/BJkyZFeNgPHTqE2267TfbGNntrX3fddUqEVUtLCxYsWIDs7Gzouo6pU6fiww8/jPp39uyzz2LgwIFyIWHVqlVRf8c7+rtr5+OPP0ZlZSUqKiqg6zoSExMxcOBAfOMb31DyhM0+6E899RT69+8v+7LbvfYdFej/+te/MHPmTKSmpspriMmMGTOgaVq7cz8Vgb5u3Tp85StfQWZmpjy28+fPx4cffqiMtWTJEuTl5cHpdCrfQbMPenl5ORISEpCZmYmrr746ah/0u+66CwUFBfB4PBg4cKDsbW+twN6WQD9+/DhuuOEG5Ofnw+fzYciQIdiyZUvEb313CPT7778fQkQWaozGZ599hmuuuQa9evVCQkICAoEAJk+eHDV6zEyZsS5UWXnsscdQUVEhi72afwen416PAr1nQYFOyCly4MABuN1u/Nd//dfZnkqniPVj3918UY9PZzBzse2LG/HAsGHDMHPmzG4d8/jx48jNzVVSJgghXaczv5Oxbv5JJKZAPxNkZ2fjhhtuOCP7Ohu8//778Hg8UYsvnm0uv/xyDB06tNvHPe+8807LuIS0BwU6IafI1q1bEQwGI/Jw450zJdC/qMcnFtu3b8cdd9yBrVu3YufOnVi/fj0CgQB69+4d0VLlbNPS0gKPx9Nmb/POsHfvXrz66quoqqqC0+mMyA8nhHSNzvxOUqB3nDMl0N966y0kJSV1qf5HPPK73/0ON998M5555hm8/PLL2LRpE0pKSpCZmalEVcQDJ0+eRFZWVkTb0a7S0tKCX/ziFzLM/yc/+Um3jEtIZ6BAJ6SHcqYE+peNX/3qVxg1ahTS0tLgdruRk5ODuXPn4h//+MfZntppxwwtzM3NjajmTAg5M1Cgd5wz6UH/MvHee+9h3LhxyMzMhNvtRkZGBmbMmNGhIqJfdMzQ+oyMDKZIkbMGBTohhBBCCCGEEBIHUKATQgghhBBCCCFxAAU6IYQQQgghhBASB1CgE0IIIYQQQgghcQAFeg/j3//+N3bv3o39+/ejpaWFRqPRaGfI9u/fj927dyt93IkBr000Go12dozXpj/AQUMAACAASURBVPiDAr2HsXv3bgghaDQajXaWbPfu3Wf7UhB38NpEo9FoZ9d4bYofKNB7GPv37w/9IToghPO02gBtVpfeNyu1BkK45OOr02uQpg1u930XafPhEEny8Vd8lSjzT5WPr8ur6dD+U3znoMg/QT5emKXOJ5a5XQH002bIxzNSauB0pCnHo1AfF+W9Ppznu0o+LvVPRoIrVz7O9n8Fg31fk4+vSAvP53zfXGUsYxwPhHDClxDERdp8+dqlSeH5nO+bi37aDDmfftoMuJzpUecjhBNz0muU+QzxXQkhnCjUx+GG/GoIkSCPufV9l6fWQAg/hHDCm1CI//QvgBBOpGmDkO3/Cq5Mq5Hv66fNQC99vGU+maFx/KHPbIxR5p+KBVnmfFxoyK6R+y31T0ayr99p/27TaF0zB4QQ2L9//9m+FMQd5rXpruIrsaqkCiuK5mNpcAGWBhdgbWklNvT+Ou4tmYeVxfNxd0kVlgcX4Ib8atyUX427S6pwd0kV7iiajzuKjNfXllZibWkl7i2Zh9Ul87C2tBIrLK+vC712d0kVVpfMw3NDp+LTZ4ux+2+L8M+9q/H3PXdg90c3YfeHTdj9fjV2/7kKH717Jf7+h6/iH7+dhH+8cTH2vD4ae14bhY9fHY69Lw/GJy+dg0+298Un2/rg060l+PTZYux7ugD7nsrDvidzsO+xTOz7YTr2PZKCfQ8nYd93E7Hv237s+5aGfZu92PegB/v+KwH7vpmAfRsS8On6BHx6b9g+WeXFJ3eH7C4f9t7px95lidi7LBEf356Ej29Nwce3pmDPklTsWZwm7Z83p+OfN2bgH9dn4u+LAvj7tdnSPmrOwUdNefioKQ+7G/Lxt7oC/LUmiL/WBPG32kL8tSaID6uLIuyDBcX4oKrEsAXF+GBeKd6fW4b355bJ///l673lc6b95eu9I57/YF6pfI/5fzm2OX7I7PMx52qfc5vzNq2qJLw/+z6jzOHD6iL8rbYQf6srwN/qCrC7Id84fs05+PuiAP5xfSb+eXM69ixOw8e3pmDvskR8cpcPn6724NP1Cca5fdCDfZu9SPL2iYPfIxrNNF6b4g0K9B5GS0sLDIHuhCHy2je3K9Dhba3mdKaG/+9IhtOR3KVxvAmFcDg0COGCw6FjU5+F8rUkXwXcrswY885U9ql5ipXXby9sRII7xxhXeJGqDZKvpWgD5D59nqDyvqvSmpHhHyrfd3tho/K6+ZrHnQ+XMx1+b6k8Hg6HLre71fa+2kCz/CwO4Q0JTeMzu5zpSPcPkeO6XQE598uSGuXcHcKLa3ObQ2N64HYFcH1eE4TwIMGdA5czXR4HpzMVTkeyfO8tBU3weYLyvBnzMc59QB+J6qxmZT7m5/QmFMLtCsDjzocQLkxPbkS2PgrJvn7QPMWh/Yfnc2O+MR8hXHKbaPO5vbARPk8QblcmPO581Gc3I8lXAb+3FNn6KDTnhOfjdmUioI+U4zxQXh1x3mi0s29OCCHQ0tJyti8FcYd5bVpbWokNZbVYU1KHu4vrcXdxPTaWV2NzxQLc37sG60rrcF/vGqwpqcOthY24vbAR68tqsb6sFqtL6rC6pA7ry2qxsbwaG8urcX/vGtzXuwYby6sjXl9fVivH+9n503FiRzFa9i/B4WP34eCR1Wg5cDta/nUDWj5pRMvHtTjwj0oc/HAWDv35Mhx6bzKOvH0RjvzhQhz97VdwbNdQHH9tEI7/4hwcf7UfTrzcGyd2lqL1xV5ofaEArT/NQ+szAbRuyUTrU6lofSIZrT9KQusPdbQ+6kfrIz60fteL1u940PqQB62bPTjxoAcnNnpw4n7Djm/w4fj6kK3VcOxeHcfuScKxe5JwdGUyjq5IxdEVqThyRxqOLE+XdnhpJg7floVDtwRwcEkODt6cK+3AjXk4cEMBDtxQgJZFhdh/bS981lSs2L8aSxTbV1+KfbW9wxZ6/GlNOT5Z2Efa3gUVyuNoz+9dUIFPa8rle83/K2NbzD4X+1z3XxOUZt9Wzt200Jwj9hl6PuIz1pca+7i2F/Zf2wstiwqN43djHg4uycGhWwI4vDQTR5an4+iKVBy7JwnH12o4cZ8XJx4MnddHfGj9kXHOHj2nEn306XHwu0Sj8doUb1Cg9zA6L9DdKEgcd8p//Lq3HLq3XD72JhRiYVbzKY87RquWwkwIF9L9QzBGq+70OG5XAFMTG+TjiXq9FJxCuBBMnIASfYp8PDu1KeZYl6c0QQg3hDAE6FBtrnxtamIDHMIrHw/wz0aKNkA+viypMTSfTIzz1yrjTk8OC/o8fQyCiRMi3mfaKG2BFNcOh4bx/jp5Hs71X23Z1qO8d4B/trJQMc027iS9Xi5c1AaaMUpbIOdTlDhJbudypivzH6UtCC+GODRcbJnPEG2OZT8eLMptkjctA/yzkauPxuTQuUnyVWCENk+ZnzmfG/Ob5Lgl+hQM9F/ZLd8xGq37jDdBsTgbAn1daR3WlBjj7RwxA63P5aDl49pTFugnXqnovEB/2Nu2QL/P23WBfltWbIEeEudWgb7/mmBUgW4K5O4W6PbXpTi2ifNoIj2WOI8m0GOJc+WzxHresm9FoN9QEFWgH7kjTQr04xt8OLExdF4f9hrn/el0tD6Xg9ZH/bgyLfb9BI12ZozXpniDAr2H0RUPutUMMeQ55R8Dh0NXhP+60jpFqLqc6aGQa+Ox6YVuz9yuTGWcNSV1ihd9dmqTIrTtXlZvQmHUcT3ufOW1bH2U8np1VrPiKV+U2xTxfiEM77rTkSy91JqnWJlvpj5ceV9zTrP0uif5KmwLA+6QNzo8rnXb8DFzI1UbFBLsxsLB4oImKeCDiRMUMe10JKMp5J3O1IdjenKj9N5n+IfK4+Bw6Ej29VMWMpb2apTnbaRWhf7+WUhw5yDJV4F0/xBUZzVLL/n8zLCHvlyfJsW0y5kOnydoGdeNPH2MPI9XpDQhWx+FBHcOMvXh6KNPx9z0Zric6UjVBmFVcb0RPeFMxdTEBlRnNUdET9BoZ8d4ExSLrgr05cGGbhHoO0bMROuWTLTsWaAK9P1LYgr0w++M7z6B3p4H/TQIdKv3PJZAb0vg2sWr1RPenkA3X2tToHdApLcl0Nubf1sC3f5ctwj0zR7jHP9QNwT6T/NwYkcxWh/24rOm4pjRgDTa6Tdem+INCvQexqkK9Fx9dEwR2512gbZQ8YSvKalTXh+jVXc59D5sYYFrWlNOs/TIetz5GOi/Ur42UqtSQtQLEsdJ4dqe1QbCntw8fYziBZ6f2QxTOAvhQpl+qUWcepRtzXmY2/s8Qem5HuCfrXjVqzJV7/GM5CYpnt2ugOKRN4+5+f90/xAlMsHpSA553j2oymxGf/8seTNRldmMTH04AvpIpGqDbBEMHsxND89jhDZPGdebUKgsmAzTKmWEQW2gGYWJ46F7y1GmX4pz/VfLsd2uAFYV18sw+ytSmpCrj8YQbQ6EcKG/f1boOBnjrihqUD4rjXZ2jDdBseiqQL8jikBfV1rX/QJ9zwJFoB9+d2L3C/SHQwL9O50Q6KsSowt0i0g/vDQTh24JtCnQWxYVKgK9IwI3mllFensC3SrU7QK9o170UxXo0ebelvfcGuK+/9pe7Qr0Y/fqhkC/3zifrd/1Guf7qVS0PpeDEzuKjZSIVyoY8UU7i8ZrU7xBgd7DOFWBbjfNU6yENkd6193dsh+7DfDPtojNTNwRDAuw+SHBaD7uq8+UIdJCuBSRLYQrJAjdltc1Oa5V8Jbr0+RrQhgi1hq2f0uBKvYXZoVzyj3ufEWoCuGy5Gabx804dtn6KLhdATmvcn2aEhbfR59umWMAmfrwcI6+8KIhu1mONVqrRq4+Wr43wz9UhoGbczSPx3h/HWYkG3PSveVI0QbIfHaHQ0eZfqk8TgWJ4+Bypst56d5yKZaFcIXe54GZIjFaq5ZzdDqSQ/ns4Rz5dP8QOIQXZfqlKEqcJEPyM/xDsbKoXn6e/v5ZuCypERn+oUjVBiHJVyHHdTnTQ6Hxbnl8fZ6gnONEvT4ibYBGO7PGm6BYnIpA32AR6KuK67GmpA73h0T5mRTox14f3HMEegyRHk2gRwt9P1WBbs0J76pAjzXvNvPPrwl2XqCvtwn0R3zG+X8mgNYXe+H4q/1wbNdQtD4TwD+uHojCxPHKvQaNdvqN16Z4gwK9h9HdAt2wsCg3vJbhx0WJk5TwdKvHuSBxnJLvfCpmFd3Ghc2tzM8qcK2CTwgX5qRbir45tIjibf39s+T/E9w5tvB2t8yXdjh0ZOrDpffb4dDRV5+pzMsQuZ6IOff3z5LeX3M/cyyC/oqUJhmO73Qkh7zu4TmGC8MZCwmmN9whvHA4NMtCgxEuLovROTR4EwpD58EtRbJ5/DRPsVzsGKHNQ199Zuh1Q5TfUtAkP29lRjNStAGhBQMdw7RKzEk3IhIcwquE/Z/rv1rm5juE17aA4cac9HDKgMOhw+8tDRfNE14M8M+W5/aWgiYUJo6H05mKyYkN6KNPR3//LDgcOvL0MajMaJae+ft61yCgj0Rh4vjTeKGj0WIZb4JicToE+gMWgX5/7xr5uulhNwX6hrJaQ6A/E4jMQe8ugf5cTscF+kOWMPczKNCl8IwhcGOJXFPQWj3QXRXoUb3Y3SDQ21pcsIfm28W71Vsvx7cI9IM353bcg/4djyrQXyjAiVcqcGzXUBx+ZzwOfjgLh9+diL9fdS6SfBVx8JtF6xnGa1O8QYHewzg9Ar3jZhVG5/qvVvLQM/xDlVDwWyx50kIYHt6wMDtzZnicDcHq95baqq56MFarkY9L9CmKV936mhBGsTRzsUDzFGOiXq+8bg1Lt4esa55ixfttD1m3F3SrzAh5v4UX9dnNct5l+qVI9w+R2yf5KpTzYoj7cAi9KcgNcyuh8MHECcrntW8/QpunLI4M0yqVEHdzjqZdlRb26Ps8QRn5kOEfihVFDXJhYby/DkO0OSjXp0EIF4Zqc2UYu1kUb2FWsyxMtzCrWcmrH6LNwX291XNDo51+401QLM6EQF9VXI+VRcbrG8ursSa0/fqyWmwffrlRJG7/Ehw5sVEV6PuuNQT6R3MUgW4vEndaBPqDUQT6Wq1zAj2Uf34qAt38fzShaxXUXRHoVpEeS6BH3XcUgW4V0dY8+qgC3yLQ26ogbw2ltwp0Mwc9mkA3q7hHFeiP+o3zvyUzLNBfH4wjb1+Egx/OQssnjThw8A7sv7YX7ud1inZGjNemeIMCvYdxtgV6W+ZwaErRNsODGvaEu10BpXXbw/2qlPffXVwvBZnfWxoRcm690Nlz3NeVqjnuDdlhD67LmY7FtrGsIfRuV6at2JxHiQzQveWWQnVuSxSBEeJtjSpI0QbEbDsmhAeZ+nB5DNS2aW4kuHNCBeeMY+ZNKJRt08zCdOF9uZHhHyoF71VphvfbFNsD/LNxRUq4HdotBU2ynZoQRtSBuVjidKaiOac55OH2YFpSuM2aEIaIr8wwPOkuZzpuLWyEx50vC+9NT26U+eKapxg35TchyVcBpzMVblcAtxY2ysiEbH0ULk9pksdhRVED/N5SaJ5iaJ5iTEtqRF99JjL14fB5gtjUZyGSff3kOXqgvFpGNQzV5mJNSV0oReP0pGLQaKrxJigWZ1ugbxs2C63PBHDg4B2qQP/XDYZA/7j2zAj073o7L9BXJXZdoIdEekcEelSxG6PYmlWUxxLosYrJWcV+W63W2hLo9ir0HfGgRywORKkYH02gt9VmLSLE/TvhVmtSoL/cOyzQ359uCPRDK3HkxEa07F+CY7vU1DQarfuN16Z4gwK9hxHPAv2LZFelhT2/AX2k4tl3OHSlZdtIrcoS5u+J8HQbxdoMgZjkq1BC3e1t0Pr7Z0WIf2vbtEl6veKxtm9v3XeJPkUJ1/e482XbNCEML7V1QaRMv1TJZzfz1aNtb2+zdoG2UC6eCBHZls1esG60Vm1JFdCU4ymE2ubO9Ihbj7/19fH+OmWRw+yfbtqthY3KMaPRTp/xJigWFOi+2K3WzB7obQh0qxe9swJdyT+3CXRT4EZruWav3h4rZNzuoW6rgJxdoH9aU97hNmux7FQFunWf1hD6UxboT6dLgX78tUE48ocLIwT68c+/g6Otm9H6MK9RtNNpvDbFGxToPYwvgkC35qw7HLoS5m5vl+V2BZRcbvvr1orzDuFVRKIQbsVzPlGvV6q2r7ZVjr8+Lxxy700oDBVjC79uLVQ3RJujVF/3JhSGCqMZj+emq62/BvqvxDCtUj62ev+LEicpofJOZ6qy78uSGhURbt/eKEbnUbY3PelmbrjhSffgYn8dChPHy+OUqQ/HZUmNUixfm9usRDJcHAo1N8deXNCkFI9rymmWXnndW44r05qUc3BrYfS2bOZrTmeqLJZTn20cM7crEwnuHDTlNCst3taX1crzM0Kbh4v9dTKywecJ4r7eNXLedwQbkK2Pkt+PSXp9qKL/qbcQpNFiG2+CYkGBfnoE+uGlmVEFuvSe2wW6LYfbLsyjCd72BLo9fN0U6NG2sQp0+f82Krjb5xlLoEcsLFj6t8fqgW5/TzQvulWgH74tq32Bbu+FbvWg/+FCHPrzZcZ3LfQ9NAV6y8e1aN3sUQre0mjdZ7w2xRsU6D2MsyHQ7T3Dz/VfHe6lLby23t6G0DKFUmHieOX15cEGRZBPS2q05E+7sbSX6om9Mb9Jbp/s6xexrzNpefoYpee52xVQisgN0eYony1bH6Vsb/VuZ/iHKmH2Tkey4sXv75+l9JFP9w9RtreOJYQLkxMb5DlxOpJxZZp6nKyLC7n66Cht4sLCdpy/VinoVpnRjL76TBlOX53VLN9vtmUL57V7cHtho6xNMFKrQmHieGX75cEGKbwXZjUjoI9EUeIk6N5yzE5tClWANyrIbyyvlhEGY7UaDNMqpbc+RRuAn553hcyJX1HUgBJ9CkYrbeJotO403gTF4mwL9BeGxhDo1j7oHRTox1/tF72K+3M5hkB/Or39Ku4PtVHFvSMC3VIgTumBHkOgK97zNnqhS8Eapf95R1qt2aultyfkZdE2m0i2i+VOi/SzJdC/YxHolhB304N+6M+XoWXPArQcuB2Hj92Ho62bcbR1Mw4dXYeWA7fj6O8vwMqiehY6pXWz8doUb1Cg9zC6T6CHBVm5Pk3xiurecqUQmFVkCmF4eMNecY+tb3b3m71didpmza2EN9uruE9ObFAuhNn6KCVMfFFueAEgyVcRytsOj23ts56qDVKiA1zO9FAROLc8LsZYHnncrMfOKPJmCE/dW45kX79wezWHbrRmCX2WgsRxyPAPlWJU95bj1sJGKZL76NMxTKtUCrpZK8ELYRRwM4VwgjsHc9OblWN5Y36T3F9ffSaGanOV9m9Vlv7uals2D0r0KRGh+OZjb0Kh0XZN7suD+ZnNMsIgVx+NdP8Q2TPW5wlidUmd0XJNeGWF+Il6PbwJhQgmTsCGslpZ0X6UtgCLC4y+6SX6FOTpY/DdvvPhcOjQPMV4cuAcy7k42xdN2pfLeBMUi9Mp0DeU1eI+m0A3x7g7JNB/et4VUqBHreLenkD/vxFxJ9APL81sX6BHyz+3CXSr17w7BXq0/HR7obhoeejRBHp7Ir0rAt1enC6iWJy1UJw1xP2ONCnQj6/Voldxb0ugf1yLlgO349DRdTjauhlHTmyUAr3l41ocfH86Dt+WhafPvYrpWbRuMl6b4g0K9B5Gdwh0h0NTQsGj9z4/fUW3knwVilfeGhouhLoA4HBoobZq4dfvLg63WcvTx+DyFNVbrLRss/VIjxT0OnyeYChk3A2HQ1OqvPu9pcpihRBuRRSP89cqed2Z+nClsnttoFmZz1itRtnenk9dG2i2tIUz5lqiT5HHwuybbp439XUd6f4hSps4a692h0NDfXZ4Pun+IZZjZ4y1oqhBjn+BthB99ZlyfL+3FDflh9uyzU0Pt2VzuwKYm94cyks3zo3ZH93w7BvjWyMOAvpIGT7vcGhI9vWztJ8z2q9l6sONFmyOZEzU67G0V2NIqOt4bMBcBBMnINnXD05HMu7vXYMr05pkW7dVxfXGogNvgGjdZrwJisWpCPT1NoG+qrgeq0Mi3BToG8pqOyTQTc/lWRXo1vD2jYY4b7PNWlsC/basSIG+JEcR6AduKIjIP7cXXIuawx1FoFuFtV2ct9XzvKMC3e5B74pIV4R5G/no9oUB+z7N1ABrJffDt2UpHvTjazXDg36fN7LN2pZMtP40LzLEPeRBP3R0HY6c2Bj+Pu5fgpaPa3Hoz5fh6O8vwIlXKrBzxIxQ1NjZ/m2jfbGN16Z4gwK9h9EVge7zBLutX3lXzZoPHtBHKkLNWmRNCEOwq1XVO2fBxAlKKzGnI1lpfzZJr1c82ynaAKUdmpH/He4jrrYp8yhjR7OxWo3S/zRXHy17hgvhCvULD3/eMVq1ZXu3rIhumhHOHm6bZgpmc/uFWc1y/GDiBGT4hyqpAGO1GhmyLoQnojWa8dgjx7e3ZbOG0xcmjlfasnkTCnFTfpMcf4Q2TwlpDyZOCKUteORczKJvBYnjkK2PQr0lH3+sVqO07vN7S5Uc+WlJjRjgny2jIIZpldg+/HIpwqsym1GV2Yw8fQyEcOHylKbQgs7ZvnjSvhzGm6BYnKpAX1daJwX6yiLjfRvKak+rQI/VB71DAv2p1LMi0CPy0O1t1qII9Jg90G2V3KP1Qu+IQI+Vh26vDG8X6NFEencIdKWCfJR9RxSJ64pANz3oIYEeEeK+f4ki0A8cWml8F/cskAL9+C/OwYkdxWj9jgc/Pe8K27WdRuuM8doUb1Cg9zA6KtCtxdWE8ESEiZ+q2S8k68tqpehNcOdgc4WaI20VdR0xh0NDhn+ofGwNmXa7MrE8qBZasRaLczh0JX9bCLdyPMwiaVaRbg03F8LIJ7cKZXtufGVGs9JOzeoJd7sy4XQkh/O4Q/MxC7t53PlwuwIyrcDtysTther4V6VZxnckRxS0u7Ww0TK+poxvtoIzPd1uVyY0T7EMKfcmFGJOergNnTehEAP9V4by1g0hvbigSc6zKHESxvlr5fhOR7JstRb982pKmztz/DnpzXAIL9yuTKwqrofPE0SCOwc+TxC1ASME3u3KhMedjxVFDcjwD5XC+7t958tIBqcjGQnuHLmokuSrwOTEBswJefC9CYVI0QbgyYFz4PME4feW4sZ8IyT+bC9U0b7oxpugWHRWoK8rrcOKogYp0NeUGAL97m4U6AcO3hEW6FH6oH+ZBbq9dVl3CPRoZhaDO1WB3pGCcTEFejvt4sxCdYpAt7dZiyHQ263i3kEPuinQD/yjEofem4yjv/2K8T3bUWwUH3wiGQeX5GCg/8pTclDQeqrx2hRvUKD3MDoq0Mv1ad36x+/3lir513cEu7cSaR99uiW02xD51jZg1krkHTVrK7Vg4gTFM+x2ZSqh6OP8tbYK8ZFWpl+qhObbW4uN89fKfuluV6bSpsy+vdmmzNqCrShxkhJOf5mtndtYrUaO73KmK5Xeo41fok/pVFu2i21t2Ur0KRFt2frqM5GqDYoY35zPRL1eLnREG9+6cNJHn46ixEkyzH5uejOGaHNkiP3lKU1YlNsUOp4BXJXWjPmZ4RD9jeXVyjkWwoXv95+neNcH+GejNhDOdd9YXh1R9JBG67jxJigWnRXo68tqsbKovtsE+psTLmpfoP+j8vQJ9Ie9sQW6PQe9OwW6XaTbvOenItBjtVKzPh8rHz1CnHdAoLcn1tsS6FFD261e9bYEesiDfuiWQOcEeidC3A8cWomWf92gCPQTr1QY368tmcZ4D3vR+pAHr42egiZb+huN1rbx2hRvUKD3MM5UFXdDBIXDsJ2OZCkOu2Yem1ffhYf7hT3UPk8wosVaxJxsbdaMomkB+X57kTSruPS48+FNKFTmYLQAC+eHJ/v6YU56eIymnGalRZzPE1QeZ+rDlTZiqdqgiM/QnBMWlJFF6Iw5mqLVm1CoeNYz/EMx3l8nQ75TtAHI1UcrPcXNOTqdqbIKuvUYZerDZXE38/Obhe8cDh0Ls5qVInqZ+nDp6baPbx4Da+RBpj4c05IaZbRDQB+Jm/KNtm9OZyqSff2wuKBJegQC+khcntKkLLYUJo6Xx0D3lkP3lmNNiSHmCxLHYWFWM4KJE+BNKERR4iR8v/88eaxy9dH4yeCrQt7+TLhdmcjUh+OpQeHe8nPSm2VEgjn+HcGG0HE6fbUWaF9G401QLM6kQF9dUocNoZx1U6DvvyaI1udy0LJ/iazi3h0C/cSO4sg2a/Eg0M089JDAtAv0aHndUduUdcGDHk2g298XS6BHa/vWGYEerTBcrJD2NkPcTYEeWuSwC/Qjd6R1qQ96rBD3g0dWS4F++N2JYYH+QoExjinQNxvfmaMrUnFrYWOnow9pPdV4bYo3KNB7GGdKoJfoU05RkLswNbFBjqF5iiMEdEfmYG0t1pU2a2X6pUp+tzUUfZhW2W7Olz0HfaRWpRQdG6UtULzeC7Psn9GjtDQzxzCFYao2yNYWzBPKUQ9v73BoSg57mX6pInBz9dFKob0qW9u0sVqNsvAghFF13awI73Boyvutbdas45ve8MqMZmT4hyqf256XPzUx3ErN6UjG3HQjT978PtyU3yT3WZA4DmO0alxsKZQzwD9bSTHwuPPx/f7z5KJLU04zSvQpoeI6blygLcRTg66Wn8k8TtZ89qW9GlGuT5Nh7lWZzWe1bR/ti2i8CYpFRwT6xvLqUxLo5uv2XPX1ZbVoWVTYvkBvK8Q9RpG4Tgn0aD3Q7QJ9Q9cFutILvTsEehsCN1bht1ii3V4YThnPVsG9PYEebd5RvedRKre3te+OCnSzkrsU6PYq7o/6jSJxlhD3aG3WYnnQD787Ecf+b4Qq0H+ohwX6/R4c3+DDsXt1HLihANVZzcq9EI0Wabw2xRsU6D2M0yXQnc5USOqCLwAAIABJREFUJcS8I2a23DIfP3qOWo19mFbZTqsrty033h3qoW48DugjlWJr4X2GvZ55+hglFH5xQRPsvcjt+VzWMRzCq1Q6F8IVemx8rgR3DrL1UXKe5fq00P/Dn9tYeAg/nprYYPEyu433WET9EG1OhJC3hrMVJI7DBdpCpU2ZkbLgkZ8pRRughHdfkdIEv7dUaZtmFbhGUT4PrG3TzLx6h/CiTL8Uc9PDbdncroDhSbecn/H+Onms/d5SpGgD5Gc327T10afL94SPo7FPsyXaZUmNcDh0lOhTcG1uc8h77sG0pEZUZar7XFNSJ89XQB+JgD4SG8ur4XBoSHDn4NFzKkPt4XSM1KrQ3z8LiwuaIIQb2fooKdrNyu+5+mhsrlgg2+Gd678aM5KbFCFPo8U23gTFoiMC/YHyaqwPtUzrikA3+56b1iWB/rev4eD703HovckdEuhKiPspCnR7q7XOtlmLJtCtYdrRBHrMEPEYxdXaEugdFeex+pFbBbn1cazK86ZFrUAfo3K7fQ7W7ewCXemD3pZAj+ZBN6u4t9EHvS2BLj3oP80LC/TvGoXoTtzvwfH1hkA/dk8Sjq5IxZsTLpIdUc7+7yAt/ozXpniDAr2HEUugm+G9p/YH3rkf/jnpzYr315q/HMsMT7Cxnwz/0IjiZ5FeezfO9YfDlacnNyoV16O1TfN7S5XVZvvCwxUpTZaCava+6kY+tVrJ3KX0Qw8mTlA+t8OhQ/eWy8UEh/DC6UhWQsevSGlSFgocDs3oey77oBttxowQeeMzWSMO+uozMUSbo8wrwz9UhtQ7HBqSfBVK27SFWUYbNNPTPUKbF/LOe+S87W3ZzJxvc8z67GYM8M9WjrURdWCI7lx9tCWX3yhGeEewAanaIDgcOsZqNShKnGSJVHCjMHG8pY2ejqLESbilwAiLdzg0LA+9P90/RHrfrVX4nY5k3FLQFMpHN4T6d/vOxzCtEi5nOm7Kb0J//yyc678aTkcy+uozcUVKE77dd77Rv92h41z/1Rir1WCAfzYcwoulvRqRqg1iOCGtHeNNUCxOh0C3tllb3xGB/tM8tBy4nQK9DQ96W55oq3W0WnssgW4Nc7cL9FjiPJpAj8idb6OtmnWf0QrGRRPophfdWiSuQwI9ShX3o7+/oOse9Ef9YYF+n9cQ6KsSw9+J5en4rKkYmysWdOhei9bTjNemeIMCvYcRS6B7Ewo7XUQt7A3u2PZ99ZmdrAbvxipbi6vpyY1t9qXO1UfbiqN5MDmx7YJ005IalbzoVG2QErpuhkFb32MvwDI9uVHmpzscmlLcTIjIonVCqOHsGf6hSvExpzMV1+c1KYsJmqdYCeMeos1RFgdy9dG4tbBROcbDtMqYoeTZ+ihk+IdGhK+31TZtpFaFwsTxMrzcbMtmVHA3thmjVVtC3I02a5P0enl8xvlrle2FcCkCOslXgcLE8fL4mIsNptDvq89Epj5cCS8fqs1Frj5aLjBk66Owqc9CmU8/PbkRo7VqZbFmbnozrkhpkgswM5Kb8P3+RjqBy5mOyYkNuKWgSd7MJLhzMFKrwrW54Rz7+uxmucCQp49Btj4qSpoCjWYab4Ji0d0CfWmvRsWD3hGBfvzVflIUnXGB/oiv6wL9nqTOC/RQkThToEdrs9YVgd5WKLv9+b0LKmQ+ul0QS7EcCi2PZrHmai1sF7VFXIzceXvuu71oXJsCPZTf36kcdFuRuC4JdNOD/qgfrd/xhAX6Wk16z4/ckYbDSzPleX9swNyIIrK0nm68NsUbFOg9jO4Mce9sjnlHVm1TtAFKIbWOeCTNntVCGB5VezV1tyugVJC3t1lLcOdEiP4UbYAidEdo8xRxaw97N0PZrc81K0XiPEhw54Tylw2xn+SrsH0+dyi8Ony8nI5kS2svjywsZ26TqQ9Xir6Zxc5MMexypofGDEc3TEtqVPLaPe58JPkq5OdN0QZELEAsD4bD7s22b+E2dm6M89fKMc22bIsLmuTntxaiE8INjzsfC7OaoXvLoXmK4U0oxEitKnTTYBwfb0IhfJ4gXM50OB3JcDnTsTzYAL+3FC5nOjzufNxSEF7EMIsAmgsS3oRCKfTz9DFwuzLx3/3nIdnXTy4gJLhz4PeW4mfnT0eSrwLJvn7Sg56tj0Kyrx8eqlggPfpCGAslw7RK1Aaa4XSmwu0KYEVRA7wJhUhw52CENg+T9HqlzR+NZhhvgmLRlkB/oLwaD3VQoJvC+5aCpnYF+t2hf02Bfuz1wThyYmO7OejdJtCfSG5foD/YdYFuzUPvSh/0aCHuplCNFSreVr65/floAj3Cm23J/7buP5r3PFb1+Zgi3RbGHrUwnU2c23PQYwn0iCrusfqgt1Mk7vCx+9oX6E+ltinQze+ANWri46p+eH/GCDw2YC6CiRPadHzQeoLx2hRvUKD3MM5UkTghDIFp9d52xCbp9YrgjmbBxAlKfnR9djPaqqadp49RiqRFM7croHjaJ+r17UYU9NGnK5XeoxUMs3vNL0sKRwB4EwojPO1JvgrFyyuERxHgpnAcb/OkW6u/Z/iHhnLGw+Pm6qOVkHl7i7fRWjXmZ6qifJy/Vi4GuJzpyj6FcKE20Bwxf3tbtoLEcXL+Hnc+Fhc0Kb3EdW85hmhz5OPJiQ3I1kfJ+Q/wzw6lB4TP7whtniXv34PZqU0Y56+VixILs5oj2qfdUtAkvfaFieMxVqvBTZa0g4H+KzFaq8YtBeG2bI8NMHLihTDqAhQkjsMkS2u9qYkNyNVHy2NQpl+K2y0RDJenGG3ljLB/5v3RXOBNUGy6Q6CvK63DmpK6Tgn0NSV1bQv0f90QUcX9jHrQ2xLolvD20yHQoxVga0+g711Q0aYH3dp+zRTo9qru0QR6tGJtbYW4WwV61Px5S3u1tkL12xPoMgfdFOhLMzvXBz0k0GN50NsU6C/3Nr5bVoG+MbpAP3RLQImaMM/1vxpLsK+2N1YW1SvXYlpPM16b4g0K9B7GqQj0MUq18PbNIbyKNzzqNg4djw/8epvbeNz5ijfb9Phat3E6UxXP8qY+C9udn7XNmsOhKXnl0efvxoqisFj2eYJIcOcoQn5qYoMihAP6SFlkLPyZNWWuhlD0yM/h95ZGLA7MSW+2iHA3UrVBobm54feWIslXoYSJX5nWBN1bLusKmPO0RheM1KrQV58pn4vW9i1XH62I7mtzw23THA4dyb5+IQFtzP8CbWFEz/kM/9DQPDzQPMXQPMVoyG6W85+W1IhMfbg81i5nOnyeIJb2apRtz871X41R2gI5bkAfqbS5S9UG4f7eNYa33ZmKbH2UbDHjdgXgcGjI1kfh/t41st3d1MQGrC6pU6IYyvRLcVN+E8ZqNbKl2uaKBUhw58hohL76TLkY4HSm4sb8JuTqo5HgzkGGfyhK9CmYFFrg0TzFKEqchP7+WRipVXU6jYT2ZTPeBMWiOwT6+rJarCttX6CbnvbTJdBPvFLRvkB/IrnTAt1axd2efx4h0G2V3K25510R6HYPdlsCva1cc2ubNatAj+VJb6uaerTK7e2F5tuFeltec2vuebRFAbtAP7gkR+aftynQH/Z2vQ/6R3Nw6L3JsT3o7Qn0GwpkeL4U6KFj8edpI3Gu/+p279toX0bjtSneoEDvYZxuD7oR5h3bm617yyO8u+3Z/MzmdsOFh2mVilc9mrWXiy6E0VLMFNNJvooIT7PfWxqqiG48dggvagORbc2sIeQT9Xql7ViePiaidZq97Zjdmy1EZCuyGclNsv+39TiY89c8xZYCbIbdlN+EosRJyvytbdlGalUoSByntE2L1pbN7FVuPpfuHxLRLi5bHyW95ZMTGyKiCWYkh8dwuwKYkdwUMX/1nLmxPNggj/8QbQ766jMxVqtRzl+Zfql8LlMfjo3l1UqKQ7k+TfZCF8KFjeXVKNenKcUA7+tdg3J9mqzOXpnRLAsSOh3JaMhuxkitSi5euF0BXJVmPGcucJih8oaH3VjAWFzQ1G5rPtqX2XgTFIszIdA32ELh7QL9+GuDlL7T3SrQ7W3WTlGgtxviHkug35wrzRToZqi2Kdqi9Q/vqEBvrxBcWwLd9L5H5IPbxLm9mntXBLr5GToj0O37iinQTQ/6qsT2Pejd0WYtikC3VnCXIe5WgR76DPaQ/08W9sHPzp+O2alNDHvvUcZrU7xBgd7DON0C3chTji3QvQmF7Yawu10BbLC0S4tmN+U3tZufPlGvV8LFraLTMNUjLoQrVIhMDUe+tbBRPudx5yth7UIYodxWkegQXktbMpd8n1UIz05tguYplhdA3VsesQgxTKu0VECPbHUmhFGsztr2rUy/NKI2QEN2s3zO7QogUx+uRCTY27I5hDeiLVuqNijkoQ+3WXM505X5L+3VqOTzp2gDlOJ7ffWZGK1VI08fI7cJF1wzxu2jT8eiXPXG4Npcdf65+mijHZ7wwiG8qMo0CrVZ5399nuEFdzh0BBMnIKCPDBXQ0+V5LkqchKW9GuF0JCNTH46dI2YYreZC49jbrI3Q5mFqYoMsjliuT8NIrQrTkxsR0EfC4dDQ3z8LN+Ubc3M501GQOA599Onoo0/HKG0B3K4AsvVRaLadN1pPMd4ExcIu0E1BfUYF+i/OkSHFMQX6377WqT7opyzQ7X3Q17cj0Fcmn5pAv7aX4iluV6BHqYoerShcrNxzu1C3v6ejAj1CpFs+R0yBbisSZ/fY2wvERRSms7VZ67AH/RQFekc86Mfu1cPfheXpbQv0KBXt98zr3w2dfWhfHOO1Kd6gQO9hnMkc9I5aijYgoo+0XWQ6namKWDWElipu+vtnKcLT3mddCMP7q7Yrs/dZd0e0VYvWi13dxhOx0jzQf2VE3numPjyirZnVq1yV2YxkXz9LizcPGrKblf2P1WqU9zgcGiZb+qY7hBf12c3I1UfLY5jgzonwyF+b2xzRls3az93sS26NFhitVSuPdW85rkhpCj1n9KTP1Icredq1gWYk+SqkJ90Urkt7NSLZ1w8Oh45Jej2y9VEyNcDh0DA7tQkZ/qHI08cgwZ2Dhuxmo5CNbCunY5S2ALUBo1WaQ3ixoqgBAX1k6PwaLdvWlNShMHF8KE1Cx7rSOksuvRsOh44nB84x8u0dySjRp+D6vCbZBs/aZm2oNlfO/4HyapkS4RBeeNz5Mlze4dAxO7UJmfpwy2KUB5UZRts6c4HEjAA4239/tDNpvAmKhV2gbyirxcby6jYFuplz3pZA31he3aZAX1dah/t71+CzpuIeL9BNkR5LoFtFciyBHqtY3OkQ6PY8c3uOeLQFhraq0Efr5R5ToLeVg35HGo6uTO5YFfcu9kFvS6Af3+CTAt1ssWYX6LLoX4ye9RToPc14bYo3KNB7GN0t0DsSrmsXvHbL08fYCqNFmtsVUFqMRbOL/XURwn5RbpMicPvqM5VwcyHsbdY8EcXQnI5kJb/b3Jd9//ae7NE+p7VAmmlWz7TPE4w4prn6aEXsG6Hu6uKE2xVQ2qb098+KuLhOS2pUQuKtIeimjdDmKaHqo7VqjPPXWo6ZJ9SGTT0W9qJs86O0TbM+l+4foraVcyRjUa4afu92BbC4oEluN+z/s/fmwXFc57l390yjZ06fwWA4GAzW4WAjCIICQcEgaBgMDBoBSYPgcsFFMEkEJAiAwGxhkRFDSyavWCoq0lXEkkpFJSo7LqfsOIudOMlNcpPPcVT+lsrNYutzdi/xl9ixYjlllyRKoqy48nx/dJ9Gnz6nBwMQJGFPn6q3JJ6Z6ellyO7fed/3echp1NMh7voMkXk0R8ZsoG6nB/Fs+wK3YNJLpvDRzlnrnOk4VpVHprbAqdKf3FDA1Y1LVnkX6vOciBy7vuw4E7Qf6cheFOrM7H3c6LVt1thxasEEHm40VeaZQJ2uNeLhxrzwG/SjXMJ/CPIaqwF0BuQyQL/clMcNK4PO3i8DdPY938+03Rmg/1XfykTi7gTQf5EIgM7gXGq1toaALgBuCYBeTL1dpubO5jk4d4Gy2+/cmS0vVubu5YdeKqAXE4mzPdCLicR9PHTHgM5l0N0l7r8klri//Vgcbz6StK83u8ZOJXv3Qsm/Tz/gA3pZhX9vWm/DB/QyGysBdKcIl+d7SrBak9mrLQf2YzTDqZfLIkkHuKyvopgCY04BOae6OQu3HZrMZi1bW3D0LWsIVaQsmDUz8qGKlADkYT0Norc4IFjDlRTfw64qIQH8iN4igPIjTc4suWlr5hSx22accJXsaw4xNnOOhjqQrytwPt61dJDr687XFRDW05wt25WUCaqs71wLJrhzFqpIYSpecFQ0mLZp8zVLtnIJ2o+5mgJnK5eKjOLEhjx3HI+ls/Y1CgRiCAbieLgxb9u+MYs1ZwZ+3rJNcwK2FkzguU3nUEW6EdbTGCAz2GMs2u0IRqgNhypzGCbzaIqMIKyn8b/6jqOKdNvHaYTasJlO4ONbzqJCqwPRW3CzYx6DZBaPpbO2tdtTrYsgegvCetoWnHuqddG2WWPnZ7txymwDUCl0rREziQLa6UFowQTCelpY9PGjHMJ/CPIaKwV0FvcD0G99c+L+AjoTiSsG6BIfdC9A9+pDLwrorl5tt13ZmgK6S019OUCXqc/LAF0oa/fqRV8G0O3ydi9Af7a0DHqpPuhvfn0/br/8Pk8fdJZBd4vEuQHdnUH/3mwnXp3pwqszXdaist+CVT7h35vW2/ABvczGSgA9RnqkgLsWcS29vGCbO3aSM1yGVRbVRh/XD64oZubaaR9iZoDFDPRyInKHKnPCYsPhyhxXVt9LpgQ1+J3kjHAeh8i8rZ7OyrydrwcDceE43IJ1ihLkFjFa6Tga6DC3ra3GcQH+ZbZsl5vynMJ7Ax3mzvWRqClu5gT1I9G8sH0v2zRmV8bOIzv/7P1OpXh2fuZqCtb5ITgQyWKPsWgvfgQDcYzRDHf+QxUp7KMZK8ttLqQ80ZJxnUcdH9ty1p7bRzPoNiYtK7Sla9pOD3KVAm6btXRkL55qXeQWRNrpQavPnbdZq6WDtljf4cocthknONE6P8op/Icgr7GWgP5Ei1nivuaA/m9T6xvQH4/ZUTKgFxGKcwK64EfuAnRnSbq7rN0tEOcGdKdwnDOKATrLlBcTtJN5uDuz8TK1eAHYXd9ZDNCL+qCvYQb9ra/uWwJ0jww6U3F/+9qGooAuWzj53mznshWLfvykhX9vWm/DB/QyG3e/B10X1MZLjd978ETR1yvDnXaml8Xp6gLXF83CCaAVWp0gKLeLzHG2capKkIqMchUDMdIj9G6rKuGgLEH7EVCjHLhfcYjKsf12lzRHw10CpC0kC/a2VSWEKtLNQTPr+XbO7SJzQqVB3Oi1bc0UxaxyyDhszZh9mBNAo+EuBAIxoaTtSmqpLD5UkUKoImXZqi2dZy2YsPcpEIghW1sQbNMu1JtZcbb9rcZxC1o1+zwOkBm7VJ3N7TEW0RwZQ4VWh7jRi8ebs5xtXT0dsuaS9vG204O43mzanGnBJKpIN17snIUWTCAQiKFCq0MV6cbnHjwJLZi0qwam4gX8fu+HrM8l0ECH8ULHvC3ep6oUcaMXT7cuwgi1odroQ1NkBCc25O3vYzZr+yybNZZhP1SZw05yBhVaHYxQG2ioQ6rU78dPevgPQV5jrQCdQfhqAP3dlzbdHUD/w4Y1B3S3D7oA6BaYlQrobqs1Gdy6BdacsRJAf3WmS/A+l6m+e/mRywDcK2vu9nD3KsWXlbXLwlPF/efrOR/0t69tKC2D7rBZK9UH3S5xf2mTmEG/KQf0Wx+u4xZjmMWazJf+P+Y2Cw4wfvykh39vWm/DB/QyG/dHJE7n+pq9w11OpeGhqvyqvvPqRjHbvFyGfJDMCrDfQQ9zJfMMGp3vSUVGBYs3t21aRtKfPl/jntMsS66luZMbCnZ/M5uTVQC4P8eyy865Um3ZzGMxtx83erGbnOMWXSrDnZyon6pSXN2Y445XCyZwJZXjsuthPc1l949VmeXuznYHdrzu7V9LZ+3s/R5jEQ10mCvxP1ZlepE7s/fzNaZYHtM3GCbmw/1SxYP5+3qxc8kGTVE0nE0U8GSLuZ+qEsJj6SznYe60WWMLMzKbtctNedv/nG1/JlFAc2RMWGjyo1zCfwjyGmsB6M9tOofnN51bMaC/0DGP1342jf/8k40rBvTbX9m1ckD/bGx1gH7j3gO6u7zdWRrtBbrusnYZoMss2NwCcbIS9JUAugzYvVTLPQHd+k4noDNIXzWgS3zQnRn0N145jddf+/DygF5CD/pygM4WV9zhA3q5hX9vWm/DB/QyG3cK6Kx/d2Wf06WiWMv1tytKkMuoss/ckFiwOcvMvaIUmzX3tmrpIMJ6mptjYOn8zHS8wGXtWdbc+bkBMmNbdLG5EWOBs23bTCcE+62wnhYWOLbQo5yX+mY6gR3kNNrpQW7ObcvmtvfaQo86rNrM9/SSKcHb3WnxFtbTqDb6rP5/c46GOlBFujnbtGi4C9Fwl9Crn6/jbdOSdMDcL0epetzoxcWGPGfjVkW6ORX3C/V5dBuT9lwwEMdj6Sxa6bg9p2uNeG7TOdPaTSXYQU6jl0zh5IalfRgxFrDHWMSxqrw9N0zmsT+SxRCZh6pSdNDDaKDD+L93HeRs1lgGnanYd9DDaI6MYYxmbJu1DnrYtllTFFM7QbaA5Ec5hP8Q5DVKBfRn2hZXBOjLqbgXA/TX37iC11/78MoA/c975IDuVHEvBdA/WgTQmUicxAN9WUB3QPpygO5WPV8p6Mp60WXl7V5AL9tuKYDuFojz2u+i4nASQBcs3Vw2a56AXmKJe6kZdMEHXZJBd9qsMUB326w5veCd1+MP3/OQ34ZVduHfm9bb8AG9zMadZ9BF0RCit5QE286oDHfimTaxx6k5MrbsjcEtTKcFE0JPe0CNCtlwLZhAOrKXm3Pvt6oSy/fcsa1ADOfrlyBTVUIIBGJcjzYrfec93jWXIJwOVaXCtlSVcNs6VJnjbMcUJYiHqvKuhREdZxMFV0m6bgH6Unn9MJlHKjJqHzezZaulg3aWWlUJjlXluQUGVSWcrZmimL30ppe7bp+7EWMBx6qWxGRUleJAJMtVK6gqQQMd5mzf5msKaIqM2Ns3Qm04XV2wzoO5/bjRy9m4KUoQlxpNVXdW0q6qFI805ZGKjJqihkoIWjCBR1M5c7FDpVBVAqK34Eoqh14yZc/9wXsm0W1M2hCuqgQvDfw3+3ejKiEE1Cg+s23KWkTREAzEXTZrGiZj5j4uJE0ROFUlOLmhYNustdODUJWQYLN2/2/Iftz78B+CvEYpgH7zDgD9mbZFDtAZpK8Y0P/luBzQmc3anQD6J+4DoFtw7sysugHdWS7uBLtioOsF3O5+cxmMe4UT0L2gXKbgXhTSJcfhLnt3W7R5AbpTJG41gC7rQffKoHMicR4+6O4e9GKA7lw4eaFj/j79++iHf2/yBxs+oJfZuBsl7nGjV6rUvprYSc4I2emZRMHuA2axkCwUFbDTggmux1xRzMysO4uepAOCQFs6snfZPvpAIMZlsBXFBE+nVzs7NzLROud+qCoRthUIxLhybUUxF0Lc5fVVpJvb153kDJoiI5wtm6qEkK0tcJ7bATUqWNuF9TS3/T4yjXo6xJ3HATKDVGSU2/9dZA7t9CBnp+eufHALsSlKENuNU6ilg9x7d5IzwvaZ//o2w9Qo2EKPCgsyfWRaqIbYTc7hiRb+2h6J5vF066J9vPtoBtPxAoasjHk03IUhqxR+xFjADnIacaMXW43j3MKN02bNuf1hMm9XDGjBBLqNSYwYC5iKm3O61igI0PlRTuE/BHmNUgGdgfidAvrTVjgB/Z2/6rNFue4roP/K8oDu9kB3Q3pRQGfZ1BUAujtkVmUyQHfCtazXvBioC9l5mZp6kfASj5NBubtc3ylSJ8vaL5dBl4nE/eeLK/dBLymDXkKJO7v+bzzcUBTQvzfb6QN6WYZ/b1pvwwf0Mhv3qge925gUoN3s4V25bUeoIiVkHM1sss7NPdGS4QTUFCVolYbz3+lUIjcz30nXHBV6tRUliIsNeVv4jMUjTXkhC+8UiWOZdecCA9u+c26bcUJYnBgksxxUK4oOLZh0lJYH7YyxM1PP7Mmc22JCds65ATKDLfSoo09cx0NVpm+3bWGmhDCTKKCWDtptCmz/ncDqtX2nynuoIoVRS/TNuf3puHv7BJla06KNifsF1CguWfZrRqgNYT2NYTKPXjKFVjoOoreA6C04XJnDFnoUCdoPRTEz83M1ZmaezdFQB66lTVV21joQDMTxmW1TSNIBxI1eW9DuE10zqAx32t97JJrH/zl4iLNZm4zlMUzmOZu16XjB3g777c8kCqChDhC9xe9BL9vwH4K8xv0G9O+e2Ypb35zA7f98kQf0H/wcXv/++bsL6J+mS4DuKHO/V4DOeqndgF4sGLi64Xa58AJ0GaQLFm4OJfmVAHopHujO7HnJgP6z6TsD9N+J35UM+g+fDfMicY7rzwDdWU3gZ9D98O9N62/4gF5m4/6IxJnRSscFv/GLDXkBvs1M69r4b07HC8L2Tf9pfvuyjKZp18XPTcbconW6YH+mqlQQpDsmEbuTzR2Jitt3q7SrKhUy6cFAXKgYmKspCJn5w5U5l82ajkOVOQyS2WVt30Zd36lrjYI4XaGu4MrM67hQn+ds1lSV4GJDnms3YNsfoxmuf3wXmRNs2XaSMw7xQB1XN5rHxLLUqkrxdOsil9HXgkl8bMtZrkefhjrw+70f4toLErQfR6J5Tqm+gQ5jF5njRP3Skb3Yahy3fyOszD0d2Wv/Hiq0OjzSlOds1ojegocb835/X9mG/xDkNUoBdAbfTkC/YfWXuwH9Siq3IkD/9+kHBEC3ReJcgP7mNw7hza/vX74H/fMtqwP0Ekrc3TZrTkB/+9oGT0B3isW5Lda8VNzXCtDdQO7uR5cCussazQnMXlBGz7bJAAAgAElEQVTuCegu8Te317kT0J2LAl5VBMUA/e1rG3D7elQscfdQcV+NzdoP/68usQfd4YNu96Cz6+8ocXeX+7Pj/s7J7cK93o9yCP/etN6GD+hlNu4noMvChCNNMse/71MPuAXegvhE14xrTpOu/G4zTgiK5m5rNEUxy8qd2fB6OoRgIC6IxjltvhRFc1iKsYy+jmqjzwLepWMbIvNC6fc+muEUyxXFhHSn+nm10YeTGwocVMdID+ZqRFu2fF3BPgZVpagMd1o970vVBjTUwSnTK4rc9m2+piC0G1yoz9tZbVWliIa7cKnRVIcPqFEE1CiMUBsuN+Xt8xkMxBHW03jEnjOrFkIVKfuz7Hwm6QAuN+U5m7hUZBQX6ln1Ai9ux5TV2fU6XJnDLjKHUEUKRqgNz286h7maAnaQ07a92ce3nEWoIoUq0o0Y6UGM9ODXu6dB9BY7i7+LzOFG+4JVqaHZ1+98fYHLfo8YC5iM5bm5fTQj2KzFjV6ctVo1jFCboKPgR7mE/xDkNVYD6Dc75vG8BelOQH+mbRHX0lkO0FnP+VMuQL9xLwD9fzXxgO60WfuNSr7EnWXQV+iDzgCdwflqAP218xtLAnSnaJqsRNxLkd0N6DK7NU4R3sPqzAvQi4nEcaXtHoAu22cZoDu/8/ULKc8M+u3rUbzzZGTlJe6vLqzMB90lEucF6G883GBfZxmgf2+2E984LFYd+lEO4d+b1tvwAb3MxnoD9PsV241TXJ+2osht1twq64pi2rWxEm0WxwQRNzMD7y6VP10tZvTNLDR/Q3SDvKIEpX3xYT0tLGjQUIdLrM70dGcl3ooSxFmrbN15HHM1BaQiow5Q1zBXYwqfMQBlJe9bjeOcQF07PYgL9Xy5f7cxiUwtrxC/k5yx/L+Xjnc3OSdUKxyIZJGg/VwWfDKWR7XRx12juZoCknSAOwcXG/JooMOcyN41S92dXctsbQF/8J5J9JFpu8z98eYsPttzCoNk1gb1K6kcmiIjuNSYtxcDLjaYlm6Z2oK9yJOvMy3dnBUbC0lTCO8hW0RP823Wyj78hyCv4QZ0BuDLAfpNy3qNzbM/uwH9enMGjzdnbUh/pm3RLo93ArqzB11qs+YCdMEHvRig/8+6ewPoVgZ3WUB39J6vJIPOlYt72K25YVdW0v7qTBcH6QKgF/EjdwI6g+aVADqnDu84FlkW36u8/bXzG+32ABvQP1Kz6h50mYq7DNCFEncJoMt80G/9fD13jdkCi1O872sHB+EDejmGf29ab8MH9DIbxQFdX/WcDB61YJLzuFYUs4TYLZo2QGYEQBs1FgUfzsOVOQGqT2zIC99xNlHgYFRRTIByZ4hlPeWXJT3ljzp6ylnoWqMFmktzleFOwbfdS4TOCeCb6QS6jUlOFG4LPSrYpm2hR7GbnOMWDLRgEhfq8xxos8y0c8HACLXh0VSOy/RXkW5UhjuRr1vKsFcbfYiGuyybNXOulg4iRnq41oCmyAgStN+2GFMUs/Khng5xZeqtdBzNkTHsInP2XAc9jC30qKWoTrjjNZXXzTmmnp+KjNpzWjCJR1M5UwndAv+wnsZTrYuoDHfac9FwFxK0H0+3LnLZ+QTtxwsd8/ZcKx1HAx3Gr249Y89tphNooMOWmJwOI9SGyZgJ/ZlaE8Arw504EDH72I9EzTaNKtJt99iPGKbferXRhyEyj810An1kGqpKHBUX9/uG7Me9D/8hyGs4Ad0J4HcT0Fl5PAP0N79xSAT0ZUTibECX9aB7AbqzxJ0B+idCckD/JRegP1sioD8WX74H3SUQVwqgO8HOnYWWQbnbUk1W4u4MocTcA9IZoBfbT+nCggvQOUh3VQHIyuqdAnFSkTgHoNsl7s9KAP23otIM+q1vTqwM0CUl7u8+F7IB/fbjsaIq7s5r5gN6OYd/b1pvwwf0MhvFAH2AzAhwavYw83Aqg3F3b/lSuGFek7xXF7LKqhIS3mf+md+e+TnZnFbCnGgN5zVXGe4Usua1dNAF/Roa6DBXdq0oGlKRUZcdmnkOnH3ZiqJDVUKuDL4551yAYLZszv5tZgfmLJVXlRCCgbggiFdt9An96+30oJCx326cElTkGWg6j2MfzSAd2evIYJvHdtmyPnPOXUnlHIsL5rFd3ZhzLKaYv4PHm7N2iT87jkxtwbZ9U5UQdK0R8zUF63yZn4uGu3A2UbCU9M1r3UrHMR0vcKrwA2QGU5ZyO5s7XJnDQ1V5bvHoWJUp/rb0WdPr/MmWjKPP3jy2680ZtNJx22ZNVUJ4LJ3lbNbE4/Wj/MJ/CPIaP/GAzvrQvTLoKwR0mVDcigHd5YHuBHQZ4DrV3b0A3ZkNXw7Ql+tHF6zQXIBeDMq9xOJk5fhFAd0lFOcJ6FZ1gjSD7gR0ZrO2QkC/9fZTIqC/tMmzB305QLe1BBz959+b7cTXD70PPqCXY/j3pvU2fEAvs/GTWOIeDMQFC69QRQpzNXyGOxruKjnD7V6EqKWDQql7KjIq9Gi30nG7R5vFFnpUWtLsriRQFFPAjhd70zBfU+Bt01SCbG2Bg2VmmzYZW6oA0IJJbKFHOe9yFjJRPHdFANsffk4XPquqBAOE1wMIqFH0kimc2MDvz1bjOLc/oYqUYDtWGe5EKjIqXL+d5IylYL80N2IscL7yihLERDQn2J9NRHMYIvOcgN10vICHqvJcGf1MooCZRAH/R/8xmA8ppgjgdLyAX948Zx8vs05rjoxhjGYQUKPYSc5gkMwiFRnFIJm1bdZ2kTm00nF0G5O2zdr9/jvjx/0K/yHIa9xPQL+5loD+/zxQGqB/NiYHdGazthpAdwjEvf1Y3PblXi2guyG9mAc6A1snoLuh20ux3Z1NFwDZnUW3vMllfeFe/y/bbxmgy2zevADdWd7uBnTOB90N6J8ylgC9RJG4W28/hddf+7A8g17EZo0DdJeKOxP7c14XH9DLNfx703obPqCX2WAPQT3hh6RWYvciErRf+O5aOijJXmv49AN8SbuqUrzYOSu8T/RE1wUoZpnXUmzWtGDC7k12fs/15oywTafdmKKYpdmyBYP5moKVGTZvftFwF05syHOQz2zZ+Dlakm2aopgq4W6IjYa7kK0tWH3Vun0NZhIFqypAs/dxj7GIEWOB2++JaI4D8FBFClPxguD5vpAsCO0GutaI5sgYtxiha43oNiatxZIlUB8gM5xie6gihX00w2X8w3oax6rMcnNW0RDW01hImm0N7HjCehpXUjnESI/dT85s06LhLkTDXUhH9qJCq8Pndx7F4cqcDdyhihSqjT5MRHMYNRbtqohouAtHonl0G5NI0H7oWiMCatTuNbez/tYCitNmTVUp8nWmzZqv4F7O4T8EeY27DeiPN2dxdWMOz7Qtcj3oz7Qt4vlN5/DKz3SXBujf+pAN6G///QfuDqB/tDRA/+EvkuUB3YLzFQG6B6RzoCuBdHeJe7HsuUzh3Qnosiy6E7KlPeFF+tFlHujFAJ3zdl8FoHv2oLsBvcQe9KKA7qHiXqoPuvOa/Nl7J+7Tv41++PcmfziHD+hlNu51Bn1JzXxpzg2limJmLt0iayuJzXSCy4Qqilmm7RQKc36Xe4VYzBQHrUyv+F2DZFaArN3knHCc+2hGUIo/VJkTSvdNWy5NMhcU5rYax7lS+8OVOWw3TgkLFANkRuhzHjEWhP1x9os7t9kUGeHK6I9E82inB7mFjGNW9tmpOD8RNXUC3OfHaePm3J8E7eey2vsjWdTSQc7/fSKaQyoyysF/MBC3vczZXKgihadbF7mFlSrSjV/ePIdUZNS2yGuKjGA3MR/k3doHn3rgtEvxX8cLHfOcnZyqUjzVusjtYzAQx/5IFocqc1ZfvmmzNkTmcSSat63yjFCboKPgRzmF/xDkNdYS0J9tX8ATLRnuz4+ls8jUFgRAf7p19YC+bAad+aAzQHequLM+9E/TkgDdhvNSAd1S73YCOgfpLkC3fdCLALrgKb6GgC7rX5eJtXn2hLugXNZ/ztmtefSae2Xui5W4rxjQPUrc7yagO3UH3IDuPM9+hVe5hn9vWm/DB/QyG3cT0GX94FowIQDgyrZJBdDsI9OCH3lYTwuQaoTaXP3gLDRhPqynhVLpGOmRln2zDKxzrop0C6XtcaNX2CdVCeFSo+h/vt04ZZXaL4H6IJkVSu2J3iL0whuhNjyW5r3SK8OdtrWX8/wzYTfnIsGSd/fStavQ6hCqSOFy09K+hipSdmaagT7RW0D0FlxqzNvWYczGreCwfKsMdyJGenBiQ54DdWbL9mgqZ88HA3EQvQWPpbN2736FVoewnsbVjTnb5i6spxHW09b7kraNGg114PHmLB61et5jpMeunLjZMW/3gAfUKOrpED734EnoWiO0YAJaMIEE7cdne07ZlQwse/5Chwnbw2QeutYIorfgiZaMLSBXodUhQftRSwcxFTerE1glRrXRh7MJ0yrvflWu+LEewn8I8hp3CujPtC0B+nPW+56/G4C+kh70OwR0G9JXm0F3lLd7ZtBXWOZeDNDdkO7uR3cD+nIZdXe5+WoB3WkL51Qu97Jak/Wel5JBZwsiRXvQS7FZKwLor393Fm9+fT/e+dLOZX3QbUD/SI0A6IKyvXVOfEAv1/DvTett+IBeZuNuAjrzeF7t54ne4uq/DnKZz1LiUKU786wLavCBQAzZWnl2XBZmyTef4Xb3OCtKULJNDQtJs1fcvSDQbUwKoPZQVV6Ym4qb3tnOTPHparOc2y025rZNUxQzk+4u1R8xFpCkA9hmnLDn9keyqDb6XCJw5sKFu2y9gQ5jJznDiay104PoNia5THO3MYlWOi70p8/XFLCTnMF245QN9VowiSPRPHaQ0/biAdFbcCCStRYpls7/HmNRWDg5VpXHjfYFtNODjsUTDVdSZoUB+12qKsETLRnsJuccLRAadpE5fLbnFBrosL0oMmIs4IvvO4ymyAhXncFs1pzXRAsm8URLBtVGH3fuWJk9E5qLhruk2gN+lEv4D0FeY60BnZWulwLoL3bO4pWf6TbL1t+9ibffvXlvAZ1ZrK0G0B196GsK6C6xODccu3vCnRlpL0CX2anJ5mTAvhJAL+rb7ihllyrEu6DdDedOQGcCcUwkbjlAf/eX7tAH3QHopfiguwGdXWuZ2J+fQS/38O9N6234gF5mY60AvdrouyM16spwp2VjtTRXodUJZeosZOrqL3SIXuGm6rxzTufsvJxRqs3aNuOEVEF+iMxzZc6KYpa1uz3IG+gwtGCSy1qnIqNI0H4cc4nWJWg/9rnKzsN6GnGjl5ujoQ5Ew12WRZo5x2zTFpK893hAjWImwc+pKkUqMor5mqUsdyAQQwMdRqGuwIFzkg5YPfU6nKDMbN+cx7uZTthl6uachg56GMeq8jBCbfZ5bKXjSEf2op4OWeXf5nbb6UE0R8Yw6ug730KP2mJrbI4tBmw3TnE2eLV0EHGjF1ccc82RMSTpgFVloNufb46M4ZVT2yz7M4oBMoMY6cEWehSfeuC0fQ6MUBuaIiN4tt20TmM2a9VGHz71wGnOZq2KdONCfR7HqvKIkR7EjV4YoTa004M4uaEg0Urwo7zCfwjyGisB9BvtC3jW6i9fDaA/7QL0T249g1d+phtv/+37Swb0knzQv9Bm9qGvE0CXlrhb0CZ4oa8Q0GWl6jKldvfrKwV09354lbQLZe3uffcQn5Op07tV47kMOgP0Yj7oKwX0IjZrr393Fm99dV/RDDqzWWOq/jagszYGF6Cz8/7qTJfDkcWP8gr/3rTehg/oZTbWLoOuoXSlT00o/1YUzQagUuJjW84Kc16fb46MCeAt80H3slQjeguXCVWUIHrJlJAJZtZZzqyzaYNGpWJponK6hno6JNiyqUpIEJlTlCCupHJcD7iimFlm90KJqhI8VMX7oKsqEezG2PG6V8wrtDosJHn/cVWl2EnOCIrwS8evcXMPN+YRDXfZQKoqIdBQBy435YXjPVxpHpfTlo1VDizBv46FpCmyt3QOdCiKji30KPbRDFcRsIvMYTc5x1nFTURz2EXmsJOcwRZ6FBVaHbRgEhVaHT7RNYMdZAnKq0g3nmjJmIs7Dh/1TG0B19JZG74DgZgtFMjaHFSVQlUJLjXm7TaHVjoOVSVCG4Uf5Rb+Q5DXWAmgP9O2uGpAZ+9l/y0J0L9/ngP0N79xqGRAv+MM+s0SAN2yWJOJxDnh3AnoNpy7AN2G8yKALss6e/WTu8vZneXrXoAueJS7stnFAN1tq+aGdKFEvxicewC6Vxb9zUeSeOtq4u4B+goy6FJAf7jBvsbOa8rOu7mw7Su4l2f496b1NnxAL7Nxf2zW9BVl283Muts/XR6HLEEz59wOcrpkwTmZzVqM9AiArSimaJzYP6wLJcuqSvBwY14qWucUXlMUczGh2uizhcVYaMGkS6xsyTbNOcdK0GW2abK5XWQOw2TeVhdXFA2DZBb7I1lB9b6PTKOWDnKl7ANkBqnIKAf6u8gc2ulB4Xhr6SAStB9TDrG9VGQU1Uaf0LbgZcvWbUxaAn66fbyb6QQeacoL52yMZjBM5jlhwEOVOUxEc5YbgGmbdqwqjxFjAb/ezYu1MRE+p73bococttCj+OMdxx3nzPzd3Ghf4BaC6ukQrjdn0BwZs0v9mRVftrbgWR3iRzmF/xDkNe4GoLPt3HAA+rMegP7v0w+YquzrEdCfC90TQOfg3AJ0d5m4V0m425pM1l8uA/RionGyMvRSAd0N555Z9GJwvgJAt/vQGaBfj66oB/2dv3iwpAz6siJxN3kfdE7FfZke9EeaSm8n9OMnLfx703obPqCX2VgNoMdIj1QNXR6aAKHFwnwvv2LrBCFn0FCH0MtdodVJM+Fuz3JFCeK5TWLvr6oSNEVGhGx8tlbMuDMhMfd8Oz3IWYEpypINmjMTHwjEoAUTEpE4U7TO7B/X7bkKrY4TWmNxscHMQjvF1kIVKQySWQ7gmW1aOrKX603XggkQvYVTrteCSVSRbpyvL3BK76oSQpIOcOeH2b493py1KyPY8T7enBXKuHeQ0xgxFhzK/ebxztWItmxMcK4y3Gln76PhLlxsyKOKdNvZbCYA+EiTWTrPvlMLJvDcpnMgegvCehr1dAgVWh1ipAeHKnMYJvP2gk5luBOZ2gIGySx2kjPWd1I807aIXWQOz7YvoJ4OIRiIo9roQ7XRh/P1BdTTISTpAHStEfV0CCc3FPBkS8YWlAuoUQQDcVxJ5RDW00hFRu3zc9l/ACrz8B+CvEapgP5UiYD+dKv5HuZ1Xgqgv/7d2ZIB/Y570H8rakLaKgH9nf9B+fJ2B6Dffjx2VwDdq/ecA3RHRp3Bt6xH3SvLvhygM+9udx96KQru0qy5ZTMmiMZJFgbYtlYL6MUy6HcF0J+M8D7oHiru7Fh9QC/n8O9N6234gF5m4/5k0L3jUmO+ZJX3ATIjzWzP14i2aQtJeSnxAJkRytd3k3OSEny5aF0V6Zb0uZvxUJV4c3P3mLMYIvOC7dgew7QIc9qOKUpQKt7WFBkxldNdtmn7aEawcVNVgosNeWHhpJWOCyXzW43jqKWDnLDeDnIaCdovVAroWiN2kTnOu5yGOtBLpiRifaZ92xZ6VLBl6yVTwvaHiKm27hSd20czSNIBXN2Y465Xgvajl0xxmfrmyBi6jUk80ZLhfN0VRcfHtpzlviugRvEH75nEEJkXHlCytQWhLH2+poCTGwrYH1lSmWc2a/sjWdTTIdsjfqtxHBcbTJV3v7fPD/8hyHusBaCzuVIA3d2D/p2T2/H698/fOaCXarO2loD+ZGT1gO6wWRMA3cq0lgLoHNQWAXQvFfdivedOiGSALhNvW64fvVRA98rcc4DuUHEXAN26BkUz6BKbtbf/9v249c0Jb5G4EgGd9aC7Ad0WifMB3Q//3rTuhw/oZTbWGtBX0ke+g5yWZrvdUaHV4Zc3z0lfk4lsuUvcWRyqzAme05XhTmjBZEk2awE1iirSLZR+K0oQjzdnhbkkHUAwEBcWHB6qyqODHubmouEu6TYCgRiSdICDbC2YwMWGvLXvCXu+inTb2Vo2Fzd60UrHsZuc446R2aY93MjbpoUqUrhQn7e2u5S9jxu9mK8p2FlvVQnZGXYtmOQWBqqNPmwzTnA2cdVGHwbIDH5z289w7w/raVxLZxEMxDlbNi2YwMkNZhk4229VpZirKaA5MmYvZgTUKDroYVsgz3mMA2QGmdoCQhUpO2MdDMRRRbrxYucstGACgUAMFVodqkg3PvfgSWRqCzgSXTon7fQgLjXmsZlOoNroQzAQR1NkBBcb8thunMLVjTn7N8zU9TO1ZpVDhVaHaqMPWjCJhxvzts2aeQ2TCFWkpBZ7fpRT+A9BXmMtAN1Z1l4M0G+0L+CpVlPNvSRAd4nErTtAd9issWAicSUBuhPcPLLoJQO6B4zLesxlAnJSQHfAv3NfnPDNlZ57lLx79Z2XCujcdlcC6DfuYYm7QySO/SZKyqD7Je5lHv69ab0NH9DLbKw1oDuFuVYTqhJakY3aY+msFPKbIiMll+EXs1nbTc4JGWjTUo3P0AcDcQH+FSWIYTKPTK34/ozH96Uje4WSeZkNmqKYixNuy7gY6cEQmecyzSzOJkyhN1lJvnuB4kAka3mhO7ehYa6mILy/ng7hUmOeWyxQFHMhgi0QOOfr6RB2kNPcPrbSccGWzQwdMwkT1Nn2VZViOl5AH5nG/gi/qDFfUxDmLtSbMP1kS4ZbSBgmplhUAx22zq15jW52zKODHuZ6xEMVKfzF+8cwQGY4LYA9xiI66GHsJucwQGYQCMQwRs2+85MbChggM/bvJ6yncSCSxRCZFwQG/SjX8B+CvIYXoF9vLh3QnRZsxQD9WS9Af3UBb95+Zlkf9LsO6L/iUHB3ALoN6UVK3N2AvqyK+zKAXrIauquMfTmhOC9v9KKA7rBac2fO3YDu9nEvBuju7+LK9V2AbofEB90WifMAdGmJ+x82rB2gfzxUFNC9Mujsvz6gl3P496b1NnxAL7Nxr0rcu41JofxaHrpQRs7iqdZFoQycfcYN0XGjVyhdVxSzvFuWqWavlbLfgUBMyK4zpfbz9WKP+FbjuNSWbYDMoIMe5r43QftRRbqtMn1+++nIXuk+5iV96YNkFic3FITzUm30cfZiimKKt13dyGzIeNu0YTKPBjrMbaeWDiJGeqyedfP9TZER2ybOuY/Mls08L/y+jxgLmIjmuHnelk3ntu/ex1Y6jh3kNA5X5pCg/dY+aug2JnG62vSbn0ksfe9W4ziaI2OYjpu2capKsIOcRoz0IB3Zi089cNp+b4L2IxUZxT+Mvd91TTUMkBlkawt2ZYOqEnQbk9hMJ/BkS8beD1Ul2Gocx6XGPB6qsvrolRC2GsfRQQ9jOl7w+D37UT7hPwR5DRmgP7/pHB5vzuJmCYB+o32hKKBfS2eRLQLo/3biQbzxymncevspb0B/5fTdA3QG6aUAOhOHKxHQS/VCLwboMoE2GaAXA3AvCC8F0N1Zbalom0d42sStENCdGXm7/5xl0JkPepES97WwWXMCum2z9tmYZwZdJhL3+oWU0Mv/1QM/JbS8+VFO4d+b1tvwAb3MxnKAHlCjJSugFw+5CrtXObrXvsjmtxunJNleM2RZ7bjRiyQdEOYfbhR90FWVWL7aQde8aUfmhk5VpbZPuXN+m3ECO8hpl+q6DlWlUqutGOmRiuNlawt2PzOLCq3Ozo4790dVCedr7pw3Qm3c9hmsbqYTXMZbVUIIBuJ4LJ0V9of5vi/Zsmm2pZq7hN8IteF0dcHqu9a59+frCqgMd9rbV5UQLjbk7fPFtq+qFCPGAlrpOIbJPKLhLvv9utaIJ1sydi+6eR50qCrB9eaMo4/fBOdPPzCNqxtznG1aKjKKa+kshsk8knTA8qtPQFUpPrn1DGrpIKqNPqs1g+DZ9gUcqjSV3lm2XVUpjkTzNqw7bdaMUBseTeU4m7W7f5P1Y32H/xDkNe4WoD/ZksEzbYt4vJkH9CdbMranuhvQ37z9zJoBuuCD/jtxEdA/ZRQH9Of11QO6K4u+LKBb2WEvQBdgXQLoxWK1gF6qqroA6I4y/eV83L0E72SCdDJAv+s2aw5Af+dLO5cy6E5AL6Li7hQEdPfy//Xufevg30c//HuTP9jwAb3MxnKArgUTnOL3WodbAI3Fw415qVBbKjIqFV/zChm4Vxt9AkCaoeFig3zbk7G8sFAxSGbRFBnBqEuxvYp0eyrX8wJlZjTQYcGPvNroQy0dlFij6Z42aL1kCrV0ELsI369fSweFhYq40euxfbOM3ev9ZxPi+3eROW5/VJVggMzgSDSPpsgIVxGxk5wRbNnY9h9N5YQyeUXRMF/D+7WrSginqwtooMOc+F9TZAS1dNDuI2el/KpKMGosYq5GzFgfqsyh25jkytan4wV00MP4/M6j3DnuoIfRHBnDEy0ZzopPVQmubsxhJzljtT+Y8/V0yD5n+yNZGKE2pCKjiJEeDJAZTERlx+tHeYX/EOQ17jWgP2EB+rMSQL/19lN4483rdw/QmcWaDNA/Hlp7QHf0oksB3SkS5wR0Z/bZUV5+p4Du7FH38j/nIN35Pcuoqjuz5isBdJnavLsk3v1dXA+6DNCfjMgB/ROhNcmgv/vFTvN3JVFxZ/Z7AqA/3GAvvDjPxV8Nf3Ad/Pvoh39v8gcbPqCX2biTEvchSSm6qpI1gQ6itwjl2eb2qdAvzeITXWJfb3NkjLMPc4bMeo3oLYiGu4Rsva41IhiI21lb5/HW0yFpdv/p1kUh61xLB3G4MseV3zObsiuSTH2oIoUj0byQkWdCa+5FDGaD5syaqyrFQrKAKtItvH8LPYoDkSy3fVUlCAbieKTJXJRwlviHKlKYiOYE5Xpmy3ahPm+L1DHLu+l4AbV0cCnjrRJkaguIkR7QUIet4l6h1SFJB3CoMmdblGXN4QYAACAASURBVGnBpL0/j1o2ZU4RvFBFCg9V5bnfYlhPo0Krw7PtCzBCbfbvMVSRQioyir//4DBa6TgStB+KYlZm3Oww+/afbMlYWX4NRqjN9lj//d4P2b+XgBqFFkzilzfPwQi1oYMetgXownoak7G8LcrHxPi0YBKPpbMI62lowSRipMdaLOC1Cfwot/AfgrzGSgH9RvsCnrf61FcD6Neb5YD+xpvXl2INetDvB6DbPugrBPTXL6SkoCsrcbf/7Co/9ypv/95spwDobG5ZL3SJ/7pbxV223+5YFaB7lLm/9rNpQSTuzUeSeOsjNZ4ZdFskbg0A3c6glwLoH6nhhAEFH/RMG/7i/b7LSHmHf29ab8MH9DIba92DXqHV2eDjDnnW2hQTc1ptsYiGuzxtyWRl4SuNuRpvYTgvmzVZBnwXmZO+P6ynpYsY7Jhl893GpLRiIRiIC735oYoULjflhff3kWkkaL/0/QNkxhJR48FwIpqT2qx1G5PWuRbf304PSt/vtmVj+z9iLJi2b1Zpt641YpDM4qGqPJeRdu7Pwy7bvW5jEhcb8khFRrlS/MmYWVafjuzlfjN9ZNquunBmrLVgEic3FDBfU+CU7BUliOvNGVxqzGMhuZRx14JJzCQKOJvgWwZ2kjN4siWDVjrOtS+c2LC0P84qjq3GcdTTITzcmPdt1vyA/xDkPdYK0G92zON5CaA/0ZLB5aa8AOg32hfwqz/ugM4gfS0A3ZE9d4JuqYDuZafmBHQWJQO6RFFdCuiSvnPne9yA7qwCcAK6zAfdXVbPAN0WimMZdAvQ3762oXiJO7NZs0TivAD9rXee4wD99e/OrhrQbRV3V2XE9xc2IV93589Yfvw4h39vWm/DB/QyG/fSB92rl53ZkbnnmcWY7DMyuEnQfs8S9Rc65KA8GctLvdTDehoX6sVtTURz0u8OVaSQrS1Is/tXUjnORozFEJkXAJ7oLbjenBHeryohnNxQwBZ6lCvTJnoLiN6CbG3B6p/X7PdXkW5kawuCanvc6EW3MYk9xiKc4B2qSOHqxpynbdpOcoY7vlBFCmE9bfXuF7dlc17rSx7vP5soCBlypgI/aiza352g/dC1RoT1NB5vXvIeD+tp6FojDlXmcIBrAdCRpANI0gHLXi1pQ39TZAStdBzX0qYwnfkZHc2RMaQio9hqHMczbYv2+xvoMLYbp3ByQwEf23LWzpDrWiOI3oLPPXgSk7G8ae0WiCGgRjFGM9hHM3g0lUMgEIMRarM/d+9vun6sr/AfgrzGSgCdQbcT0FmW3AvQn2pdxPXmDAforFT+Y1vOioB+6xpef+OKZ4n7m1/ff/8AvYgPug3oVmmzZw/6z9eXBOhOSPcCdJkHurvH3Anjsrll+9DvANBlAnecKr2rB/2OAN0qcS8Z0FeRQX/rq/t4FXeJSNw7/4Pi9vWoVCSOs1izjt/93OBHuYV/b1pvwwf0Mhv3EtDXMrRgQprNVhSzr1hWOuwsa3aGqlKpcnw6slcATPP9ROjzZjFXI6qVK4qpTu4Wd1OUIKcy7gy3zZf93Vb/9VbjuLCocawqL2SuVSWE6bgJ9u73s9J594ID61kXj1HDo6mcdEHjQCQrqXZYsmVzw+j+SBbVRp9LNM/s3x8m89Lze6kxj63GccuKzby+caMXe4xF7Cbn0ECHudaBhxvNxZdqow+7yTnuuJsjY7jclOfaHKpIN/7wPQ8JOgdnE+b5G6MZHIgs2frRUAem4gVcbDC3Y9r6mfuVryugl0zhYgNfAbCTnMHTrYtI0H5fIdcP+A9B3mMlgP6EB6BfS68c0J/bdO7HD9AlGfTb16M2pC8L6E44dwA6B+mlqqF7eKC7QwbjpYrIeQE680X32ldZeb4Mzj1D8p1OkTi31VpRkbjnQqJI3O/El/VBd2fQpYDuslljGfRSAJ0dl6wq0I9yCv/etN6GD+hlNu49oMt7bivDnXiqdVGYn6sx7bLc84FAzNNz3fSYFr8nSQfk1mtKyBKr45Xmq40+S4WbCO/fTCeQrytI++1b6TgHhCzma8wst7u3Ph3Zi2EyLwX1C/V527bLOd8UGZFadG2mE9L3M3g9XMnbmmnBJBK0X2qDNmosCjZozDbNrC4QbdkYKDs/U0sHUUW6LS0A3X4tEIghX2cC/NkEbwk3SGYxHS9gIVmwsvk6AoEYmiIj9mKHE+K7jUnESA9utC9YCxG6/d2V4U5cbDD7wlWVQlVCCARimIzlkaQDuNlhnvtAIGYD/ZDlkR4jPXYPfB+Zxg5yGtuME/jSB/bar7Hf77PtC9hMJ3AkugTlTFhu1Fg0y/WtYzRCbXdVfNGPH5fwH4K8xv0G9G9P9nKAbsP5D37u7orEfcpYFaDbkL4coMts1lyAbvdSF8mie2al3TZoHoBeCpyXAuhuwF4NoLvLu2X77QZ0wW/dCejOHnQZoN9YIaC/ulAU0N/8+n7c/squJZu1Ij7oAqBbPejuKgQf0Ms9/HvTehs+oJfZuFuA7hZTY9FAhz1KezWp0Bqzy/L6HlNtXHw9Rnqk2e/Hm7Nw244pign1sqwts1lrjowJfuiqSqVZcUXR0UrHheNRVYIkHbB6wPn3q0oI19JZQbhOVSkOVeaEHm1FMeGdiak555mPuGhhZ9qaXagXy/qNUBtObpDboBVcNmhsv3aSMy6btSVbtmvpLKLhLk53YBeZQ7cxiWxtwRbWY/7wqkowHTeF7FiVg6oSqCpBKjKKfF3BdT51LCRNoTlnJlpVKZojY9hHMxgksw41ffM7nm5dxHS8wAkHBtQoHmnK438P7Uc6stc+zkAghs9sm8L5erNiYclxQEcwEEcV6Uam1lS87zYml6zdlBAeb86ilY7bVnys5eChqjza6UHQUIfn3xE/yin8hyCvcbcB/WmrNJ71qztL3D+59Qz+v6P9uPUvx3lA/8HPSQH91jcnVg7o/7POG9CdPugllrivFNAZpHsBujPcKu5O/2+h1F3iJe4F2TIY9wJ0AZhLLG93g7Qsc87CvX9SezcJoDuV7oUMukwkzgvQ10LFnQH6p6kJ6DeX90FngO48Rz6gl3v496b1NnxAL7NxJ4CuBZOedmIyhfTVhhZMSBXOFcXsCZepvacio54iXMxHW3zN22ZtJzkjeKQrSlCwWGPBLM9EGDfDaQ/GokKrk5a1K0oQw2Qe24wTwvlmZfhu0bmAGsWF+rz0+qhKSLA5cx5nU2REarN2dWNOohWgYSFZkNqm1dJBDJF57CbnhGzxVuO4VOgvVJHCpca8AK/dxiQStB/7I1k7E68oZt85U1o/sYE/Byc2mF7q5+sLwm9kIprDMJkXbP52kNNopeP4yp4R7toFA3F8fMtZDJAZXN3I/xYPV+awxzDBn1U1BNQodpIzGCSzSEVGcbNjHkRvgaKYCxXVRt+a/h3x48c1/Icgr3G3AZ1lzp+VAPqnHjjtDejfP782gF4sg343AJ2JxDkA3RYLc3mgewK6pfbtqYguyT57ZqMXNklF4UoGdJcfebHe82KA7syKy/ZR6r/uKnGX2qyVAOi2irsE0N/5iwdx+yu7igP6ax+2ReJuv/w+vPvSphUBOrvW7uvqA7of/r1p/Q0f0O/R+OIXv4jx8XHU19dDURR87nOf417/7ne/i+npadTX14MQgr179+JrX/sa95533nkHuVwO1dXVMAwDBw4cwLe//e0V7cedZdA1aTa6lM/JxNROVxekpeHM8sprexVanfRm8kRLRloGbtpkJVZks6YoQWkJvqIEcXKDmRF2Q6iqhKAFk9Ky+lo6iPmagqVez5ejX24yRcbc+85Ex0TFew0jxgJ2kNNc1UAgEIMWTOB8fUFaqj9XYwrIMXC091slUlu2Cq2uqE3coykTVN3aAGyBhdmmsflQRQqjxiKaI2PcudOCCRC9BXM1BRTqTL9z8zUdWjCJaLgLFxtM9XpnybiuNeKRprxtfcZ+m0RvwU5yBnuMRXyia8aGfy2YQIVWh68dNL3KlxZ0NNTSQVRodfiD90wibvRim3ECWjCBYCAOI9SGiw15bDdO4Zm2RbvNQdcaUU+H8MX3HUZTZMSu4gioUUTDXYiGuzAVL6Da6JNWd/hRjrH+HoLW272JAfrzm87hhY55G7pXAugymzUG/V6A/s0jO1cM6G///QdWDui/m/AG9I9LAP2XSgB0ZrMmA/QiWXQ3oDuzwk5Ad0NxqYDu9j6XKbkvV+ru/Pxq7NXcWXO3oJ2sPN+rF92dQWfl7asCdImKeymA7plBd6i4OwH99uMxT0Bn5+Trh97ni5iWfay/e1O5Dx/Q79H4oz/6Izz66KP47d/+bbgfgv7rv/4L733ve/FTP/VT+Mu//Ev80z/9E+bn57Fx40a8+eab9vsWFhbQ2NiIz3/+8/jyl7+M3bt3o6enBz/60Y9K3o/7IRKnKiGp0NhycTZRkKq9pyN7LeEw8TNxo9cjW75ymzVFMUvqZXClBROCQBuL6XjBEq4TXztUKa8AaIqM4FJjXrJQoONCfV7al68oZja3l0wJ0L2LzEn94GmoAw835u2+a+drzAbtgMSWbSZR8BTpO1yZQ1NkRKhgaKXjaIqMCFUFqkps2zHxPOk4XJnDLjInLFjsoxkk6QCubsxx1ytB+/FU6yLq6ZBQ4VBFujFqLGK+poDtximuPP+RpjxGjUV8ZtsUnG0TE9EcPr7lLPrItHDed5IztrXb/siSonwwEMf+SBYT0ZyQ2T9Wlff8PfhRbrH+HoLW271pJYDO3nengP7xLWfxtYODJhy9cUUE9FcXfiIBnUG6E9DdsO7OQguA7spEO7PfbkCX9ZmX2o/OYLkYoMsy/Z6icK5MelFY9yhzlwK6Vw/6MjZrJYnEOQDdtllzZtAdgM5s1pyA7ixxd1rnndzgW6z5sf7uTeU+fEC/D8P9EPTVr34ViqLg7/7u7+y5H/3oR4jH4/joRz8KAHjttddQUVGB3/iN37Df853vfAeBQAB//Md/XPJ3lwrosozyctFAh1cshKWqFL/ePS19rSkyIoVZRQni6sYc1yPNQgsmPPeh2uhDplZ+I3qmbRHBQFyoEKChDtBQBy43iaXwu8k5dBuTkuoAHdVGHwp1BWmZfCsdx5EoE11bmo+RHjTQYQuQ+WMK62lcbsojEIgJmXEj1IarG3PWa0v7n6D9GDUWkYqMcvthhNrs85SvKwiLE6nIqGPfl2zcYqTH7s922qApStC2EZOVxe+jGYwYC+YChLX/7P3VRh8OVeaQoP3cPkbDXYgbvfj93g+hOTK2VEoeiKGDHkY03IV8XcG2X2O/pRjpwZMtGewicxYoa/YxGaE2fGbbFMJ6GlowCRrqQIz02F7xU/ECPr/zqH1cNNSBynAnXuycxcUGc5EkGIjbdoDVRh+eaVvEZMxUdWf7mKD9mIqbYniZWtNHXVbZ4Uc5xvp+CFoP96a7Deg3rDL3J1p4m7V/3D+EW9+cuDeA/jtxb0D/FX31gO7lg75CQHeKxckAnYPdZQD9e7OdAox7+Z3LIN2dzV4TQHfZp7n3e0WA7i5xv5qwNQA8Af1Thieg3/rmhADob95+RtqDbovEOW3WHIDuqeLuyqD7gO7Her83lePwAf0+DPdD0N/8zd9AURR84xvf4N5XV1eH6elpAMAXvvAFKIqCH/zgB9x7tm3bhqtXr5b83aUCurtX9/6EJvRalxrFMpZm5ltUfR8ks1yG1RlJOiAtkVeVkLS/nAXRW6TbPGxBqdt2jIWXrdsAmbEy4+L+y3rWFcVcbJmMmSXa7gUIZsu21TguKNQfq8rbvuSyfbnUmBf2P0Z6MEzmMUhmUUsHhfL8neQMzkr2n5XFVxt9ruoIs61iOm6Ks7kXjhaSBVxqzKOXTAmLIQtJsxVhu3GK+z100MOYiObw693Tljf80meaIiOYqyngxIY8OuhhTnjv6sYcRo1FdNDDQmuGFkziyZYMErSfu3Y7yRk0R8YwFfcfgPwIYr0/BK2He1MpgH69OYOnW5cH9BsuQH/Wep8M0P9h7P146x9HzXL2N67cOaB/sXP1gP7RZQDdreK+GkB3lLl7ArpLuV0AdBfgemXHnRl0WZm7LOtuf86V9fYSifPqlV8poEvL3F3VAysGdLcPuhPQPWzW3rh1DW+981xRkThBxX0ZH3RmqecDuh8/bvemchw+oN+H4X4Ievfdd5FOp3Hs2DH84Ac/wA9/+EP8wi/8AhRFwZ49ewAAv/ZrvwZd14VtjY6OYn5+3vO73nnnHbz++ut2fPvb38adl7h7q6x7RdzoLdqHa2aFReh0l2E7o9roQ9YjIz5AZqQ2ZopiCroxNXHZfjwqEaiLhrvMHmiPbU7Hzf5ud8a/QqvDo6kc4kav8FowEDerBCTb3EKPYic5I1WNZ57pJnCLlnDmOdGF15ojYw7rL9HGrdrosxZEll7TgknbX3w6zluzBQIxNNBhFOoKcKvvb6YTqCLduJbO2rZpzv3fQo+ij0ybn7X2h/XAb6YTeKgqb1VCLFm7tdJxXN2Ysxc3nOezOTKGWjqImUTBriZQFLNsPx3Zi0OVOVxJ5awFCt3WC9hunMKnHjiNMZrBdHzpvO0m51BPh5CkA/jfQ/txrCpvL26oSgjn6wsYJvO4utFsWVBViirSjWi4C1voUTxUlcez7Qv2/nv9bvwot1jfD0Hr4d5UKqA/VQKgP9O2WDKg/83eD+DdL3bi1rc+ZIK5DND/berHCtDdQnEcnDv70B0WaysGdEf/uRvI3T3kTkD3EoUT5iVe5LKeeKdgnGf/eYkZdC5z7gJ0e1FAIhJ368N13j3oXiXuHiruKwZ0JhL3S3yJuwzQ2bX1Ad2PH5d7UzkOH9Dvw5AJ8fz1X/81enp6oCgKgsEg9u7diw9+8IP44Ac/CMD7Ieinf/qnce7cOc/v+u///b/DBHJ3rB7QV5dd1+Dlia4oQVxvznjaULXTgx4lwib4yBTKid7iqdCuKN42a4piZoFlQm+KouFKKod6OiRkm1WVIBruwtWNOaHkXVVCCFWkcLpafhO81Jj3yNzryFuWZ6JQnAmZj6Wztk2Z83ztInM4X18QbNlUlRS1ZRujGaQje7l+cqc1Wqa2YJefO7e5hR7FfE0BYT3N7Q+zTRsm85wFmwmuOlSVYn8kK+1Tv9SYx4ixgObImJ3FZ77mutaIJ1syqAx3OrL45u9B1xrxaCqHzXQCNNSBVGTU/uzTrYsYJLN4sXPWvoaBQAyqEsILHWbm/0J9nlsYMlsfCG60L6CWDmIfzdhWaqpKcSSaxye3nkEV6UZluNP0plcJAmoUw2Qem+lE0SoLP8op1vdD0Hq4N60FoD9fAqA7e9BtQP9CG279y3ETytca0JnN2koBvRQV99UAutNqzQXodkZdArteNmsy1XV3Vr1UQPfyIpdZpskAXbbfbijnYhlxuDsGdHcG3UMkzumD/sata8varK0U0FmJuw/ofvy43ZvKcfiAfh+G7CGIjddeew3f+973AAD9/f3IZDIAVl9GeHcy6MVCxzbjhOfrXkJjxWIXmSuq6j4RzcEL/i/U54Wy7qWQ26zFSA9a6bjUFkxRTAswL8XTVjpe1K7EzEK7ysxVgp3kDI5V5aWieNFwF5oiI1LRt7CeRisd94T/VGTU05btfH1Bbstm7c+RqHx/KsOduLoxJ5yDPjKNKtKNdnrQKmPnP3esKo99jky187UhMo9uYxLt9KBwLMzLfZtxggPdpsgIknQAI8YCjlXlhd/IMJlHgvbjhY55YRFj1Fi0r/Fzm84J1Q1TcVMU78/eO2Fn4xXFrAzI1potATvJGe430kCHkaQDGCbz2B/JCvZsfvix3h+C1sO96X4D+tt/+34zi/4fuZUB+l/1rS9Al1itufvPiwG6rK/bCchegC7LoLNww7kb3mXQ7vyukgDdpei+VoDuhHSpzdqH67xV3GWA/huV5u9ABuhWBl0G6MxmTSoSZwE6q7LwAd2Pn5R7UzkOH9Dvwyj2EMTG1772NQQCAfzJn/wJgCUhnt/8zd+03/PKK6/cNZG4Owkn0LjDnXl2xucePOn5Gg114IkWuWq6FkziaQ9LNKK3oEKr8wT8aqPPE6iJ3gIj1CaF1FBFCtfSWakIXCAQw4V6Z4n20mtGqA2Xm/KoDHcKZc8VWh3q6RAOVeak7QDpyF5MxvLS10IVKQyQGWyhR6W2bLvJOewgp7nXmC3bxYY8puIFoZye2az93oMnUEsHuQoHLZhEFenGyQ0FJGi/8J0J2o85y1ZOCyYtmDdt03StEd3GJAbIDBrosK1Az2zldpDTGDUWUW30IaynTWE2NYpAIIawnsaxqjwa6DBXWVGh1SFu9OLPh8axhR5Fgvaj2uiDqoRQodWhMtyJ680Z3OyYt1/XgkmE9TQqw53YH8nitZ9NI0kHEDd6kY7shRZMIEH7sc04gal4Ab+69QxipAdJOoBAIIZgII5txgmc2JDH481Z2yqv2uiDFkzCCLVh1FjEVuM4CnX+A5AfQaz3h6D1cG9yA/rjzVk8v+kcXlwloD9l/bdUQH/nSzvtLOY9B3Tmg34PAJ2pj8sA3cu2jMGsVBXdimLgXQzQX53pEvrT3YAuK3X3yqDLyvNl2fii9moefehs+8sB+u3r0RUDulskzgvQBZs1VwbdabP29mNxH9D9WCbW972pHIcP6Pdo3Lp1Cy+//DJefvllKIqCGzdu4OWXX8a//uu/AgB+67d+Cy+99BL++Z//Gb/7u7+LdDqNiYkJbhsLCwtoamrCn/7pn+LLX/4yPvCBD/xY2Kzd72igw+gj09Ksboz0YBeZs7K64md3kNO4kpJn6LfQo0hH9lqK7OJn90eynttl2d0BMiN93dsj3hTAa4qM2KXbfOg4X1/wtGU7VJnDduOUYMumKGYlwlbjuATwzTLvUWMRY1Z5t/O1yVgeByJZjBgLwuLM/kgW9XQIW+hRHJYI9+XrCuglU1JRv2NVeXQbk1aVgybsz+PNWTRHxnDMVR2gqhQnNuRxrCqPC/Xua6OjUGeKwLXSceHBJEH7cSSax1Oti0LFQlhP29e0lY4LAnnt9CCaI2O41JiXagf44cd6fAhab/emtQb0Z9pMsTgZoDN45wD9r/rw1j+Omln0VxfMTLoHoL/1j6N3B9B/Ze0A3Qnp9wrQnaC9ZoBeRCSuVEB37rfX/nvNCcrxDkBn5e02oF/bwAO6rAe9WAb91YU7BnQmEicDdGd1hA/ofqzXe1O5Dx/Q79F46aWXIOu3Y0q4zz33HJqamlBRUYGNGzfiIx/5CH74wx9y27h9+zZyuRzi8TgIIRgfH8e3vvWtFe3HWgG6qoQ8LdCi4S400GHPz16oz6OWDkpfy9eZ5cNen/3lzXOeFnDXmzNF7aycdl3uqKdDUps1RQmilg7a2V3xs5rDIkwUnUvQfjxUJc96qypFZbgTjzTlhXJxVQmhinTjfL1pd+YG3wqtDpetz7kz/MyWzWlr5nzdCLXhMUu8zX28RG8B0VuQd9msOc/F5aY8tGACqkq4iogY6UE9HcKUJSbnri7YbpzCiQ15VGh1UFXKnc9qow8DZAaf2TYlHG+C9mO7cQq7yByubsyZ3+347SXpAOZrCvj17mnhGjJV9j4yjec2nUMgEFvK2KtR1NJBfGHnEfzO9pMgegsCgRh0rRGqStBAh/H8pnMYJLM4X8/bpelaI55qNbPjJzaY14H9RoKBOIjegkdTpuq72x/ej3KO9fcQtN7uTSsB9GctyzQZoD/VupQ9lwH6Ey3egH775ffhra/uwxuvnP6xAXSWLb1bgO4uNfcqc5cptRcDdBYyQPcSa3PDOdtP5/6WAumy/V8ue74soFsq7kUB/ROhJUD3EIkrBdAFFXcJoEtt1qz9/96sqeHi1bLnRznF+rs3lfvwAb3MRqmArqpEmkllsZwq+90KVQkVtVCrDHd6Zi+j4S5MxryF44rZrG01jqOXTHn20B+rylu+2/JtBwIxT3G9QCBW9LMNdBgXG+T94DHSgyHL1kz22Z3kjKctW7cxiVY6jp3kjPSzD1XlsT+SRTs9KNzAD0SyaIqM4EoqJ7QIjBgLaIqM4FhVHjvIaWEh53R1AR30MM7XF6SLHvV0CDvJGRyqzEkXa/YYizibKKCBDgtifrvJOdt/3F1hsJucw05yBk+0ZLCbnHMckylgeC2dRS+Zwu89eAL1dAhjNCPs81S8gAORLEZd9mz5ugK2G6dwsSGPGOmR9vb74Yf/EOQ9VgPoN+4SoL/zpZ14++8/YArGfXd29YD+0iY5oH82Jgd01oe+ihL3FQH6h+s8Af218xtXBejFrNS8oNwdss95KblzPeeS/ZVVAEgBfTk4v9uAvsIMelGbNUcPujODbl97a2GG2az9x9zmok45fpRT+Pem9TZ8QC+zUTKgK6Giwmx3Gi92yoFSUcz+5hvtXmJyOnaSM562VaGKlAXZxRXjvaziLjflBVswZ2wzTkhtyhTFBN59NCO1TlNVinydCXle+z6TKHhm4pkN2kQ0J/38ZjqBPjItBVpma7bkg+7cvuk1v4vMWeXgOndsW+hR289c5l9ebfQhGu7CfE3BUjXn942VfX9y6xnBhi4d2Yt6OoR9NGNlqPnP7iRn0BQZcby2ZB3XbUwiRnpQRbrxmW1TtrI6++0esqzYnmpdxHS8gObIGGet121Mojkyhu+c3I4+Mm2qw1uZ9810AjHSgz4yjadbFxGqSHE2gDvIaWwzTiBTa7YSMAs2VSXooIdhhNqQoP14pm3Res23WPODhf8Q5DXuJqB72awxP/WPds4KgH775feZpe7/cvzeZdDXC6AXUUP3gtxiVmmlArrsc8W80FcD6F4id24v9FJK3Nl543rQryaWt1lbLoO+mhJ3F6D/8BcJ3nkyIgX01y+k7GP5bM9qXHn8+MkL/9603oYP6GU27mUPerEMvFeZuvN1Bk6y1y835T3F3eZqLtfMiQAAIABJREFUTHVyrz5s5lkt2z9VpdhMJ7DHkIvOKYqZWTaV4yXbVkLQggkPf3bTVux8fQFNkRHhHKgqQZIO4EJ93kNMT4OqhHCxIW/bjrm3n6ktbst2s2Me+2jGVSmg2ZZhu8k5wWaNxRAxBdba6UE00GFu/1WVYCZRwLV0Fkk64Np/DYFADDTUgSPRPDbTCcf+m99N9BYbpIne4rJxo7Zq+pMtGaE9gtmkse82r51m/45UleBmxzzGaAa7yJyjYkCDFkyiQqvDx7ecxXObzuHEhjw66GGE9TQUxWwXeG7TOWRrzYx9Kx23XAq0pUUDJYQb7QtYSBbQTg/CCLWh2uizv9sUiJMv+PhRbuE/BHmNuwXoz7YvcOXwTkC/ls4WBXQm2vXGK6fNKAboHjZr//knG4sD+qepqOReAqDbcH4XM+he2WdZ/7YT0N2Wa16Zcq+Sd+dnBUB3C7Z57K+75N3uoWeA7uo3F8rqJWru7iy6VCTOkUG3Af0XCd593rymQg/6CgHdzqB/ZZe8B/3mMoBu9aCz4/AB3Q8z/HvTehs+oJfZuJeALvps87HHWCwqpnW4MldUET5GejxF2LRgAsNFSrca6DBudswXVZUXBcaWYtRYxA5y2gOUzax1sV76bcYJJOkAV0bt/CzLlss+y7zfi9mgNUVGPK3XFMW0rus2JuU2a0oI+bqCIIJmhmZ/1stnvp0eRLXRhyPRPCZjos3dbnIOA2QGE9GccP53ElMp/dFUDg10WPBHD+tpbKYTyNSa4nK8t7p57jK1BWwzTmCAzOBykygSd6wqj0xtAb/3oGgHOJMoYBeZQ3NkDH8+NI4+Mm2/VqHVYYDM4Eg0j3xdAVPxgqBpMEhmETd6cXWjKeR3wLX/fpR7+A9BXuNOAJ3ZqckA/Tnr/4sB+se3nMX/O/rTePfzLRyg3/7KLrvU/Y1/m+IA/c2v77/rgG5D+nKAzoTiVgPoLAvsAnQ35MoAXQazpQI6i2KAXrKiugegu2NVgF6kvN7tg84B+vWokEEXAP13Exyg3/7KLgHQ33rnORHQv3FoWUBnPui3H4/ZPejsejvPlw/ofpjh35vW2/ABvczGWgJ6sQw3i2Ag7ikmJxM/c4dcqdwMVQnZdlhe73m6ddEzWx+qSEELJjwz8ZvpBM4mCoKHtvPYtGDSUnnnX2NiYaxHW74POiZjeaQje6XWaBVaHc7XFzwF9ZgN2oFI1tOW7SFLyVzXGgWYDARiuNyUR1hPI1SR4rbBbM0uN5nVAjK1+VBFCnssEbQY6bFs2HRu/4negocbzWqHYCDOnesKrQ5JOoDPPXhSauOmqhRaMGmL4bXScfu3FNbTCARiuN6cwXbjFA5EskhFRi1ru6Btg0b0FszVFPDnQ+MwQm1233lYTyNu9CJTW8AeYxF/9t4JVIY7HZUDOpJ0ABVaHV7snMXFhjzq6RC2GsdtezZda0Q9HcIX33cYTZERxEiPdQ41bv8fbsx7/h3wo9zCfwjyGsUA/WbHfFFAf7p1EU+0ZPBYEUC/4QHoz7Qt4pNbz+BLH9grB3Qrq3nrX47j1rc+5A3oHiXuNqD/YcPygO6yWVsLQHfCuRvQnbZbxQDdacnlBnQ30LpL3VcL6CvyJJeU5JcM6I4S/TUBdKbivkJAf+cvHlwCdIdI3FvvPIc3bz/Dl7jLAJ2VuN9cEolzAvpbH6mRqrj7gO6HGf69ab0NH9DLbNxrmzXmg+31uqqEsJD0yvRqnllaFrvJOSTpQNH3NNBh9JIpz/0rZrOmKEFLwM27pz1B+4tmywfIDPJFfLBVlWKMZjBqyBYTdByIZDFIZm2lc9k2puOFZSsGHm7MSxdE4kYvttCjRW3WjkTzaKcH0RQZEUT6VJVifySLPcYipjzO4y4yhwTtx6XGvKeN24ixgH3ULGF3Z++bIiO4ujGHJB3ADnJasFZTlCAebsxjj7FoWcaIJeW9ZApbjeN4sXNWOFfbjBMYIvO4ksrhUGVOqpEQ1tO42TFvL3wciGTtxaFgII79kSwmojmc2JDHIJlFgvZjF5lbk79HfvykhP8Q5DWKAfoLdwjoT7Rk8GRLxrZekwH6P4y93xPQ3/77DyxB+v0AdAu6fvhs+I4AncG5DNA5BXcJoMtE1rwA3d1D7oZ1rxJ392c46PfwQV8NoDtV4ZftQZcsCiwL6B496CVn0L0A/bUPcyJxxQCd+aAzFXcZoL/2s2kf0P2wwr83rbfhA3qZDR7QtWUz4Hc/tKJZckUJ4lJjvqhtmxZM4qlW757xCq3OKrf37gNORUaLWrTtJGewi8xJ7Ui0YAJEb8G1dNay+RJFwRK0H0NkHluN49C1Rul3xI1eXEnlpFUH0XAXtGACleFOXGr0tmXL1ppCc6bAH3+8VaQb9XQIByJZ6Fqj1SMt2qyx4wioUW5fQxUpVGh12GctJuhao2DjlqD9OFyZQzs9iEJdQdh+WE+D6C3I1hYwV1MQMv9xo9fOOrfTgzi5ocDtA+tl30KPIl9XsCzRKFfqX0+HMEBmsMdYxIuds9CCSYfvu4ZeMoUq0o3PPXgSmdqC3SrAYLva6EMvmcJENId9NIMXO2dRodWhMtxpbyNJB1Bt9OFG+wImY2Z2vTLciYAaRYL229crGu7yM+h+OMJ/CPIadxPQH2/O2oJwMkD/RNcMXp3pMjOZXoD+9f0mpH9z4u4C+q/ockB/XpcLxEkA3YZ0CaA7rdaKAbrTukwmFucF6F595CsBdGkWXeKBfseALllYELzQJdlzG9LPb5QC+ltXEzygP1sE0B0q7l6Abpe4ewH6Z2OCzZob0GU+6N+b7UQ9HVoH/y76cf/Dvzett+EDepkNJ6BrweSydlBmdto7e+wuW/beRvHX5f3OS6EFk4K1lTvkGWgzTlcXUE+HuJ5iZ+haI6bjBewm54rAlIYnWzJC37Mzhsi8VREgP2eqEsLZRAHdxqS0f5wdR5IOeNuyqVFMxvIOVXb+9Xo6hGfbF1Bt9HkK5c0kzD7thWRBerytdBzdxiQeTeU8++znawoYIDNoioxgBzktvL7NOIFWOo4BMoMt9KikFUHD2YQprBYNd3ke70KygEEyiz4yLVzfuRpTGX+IzGMylhcqJZJ0AEeieTyWzqKVjv//7L17cBvnff6LGwG8+y4BEARBggQE3gTeBFGiKTE0VZoKS0mlbjwURTGUaF7EKy4bjVw5shSr1niUyLWlWvW4tevYk9Qe51LXiZu4aZJJO24mk7r5ZXrsnEySJs1JM6l/udT92ZZl63La5/zxYpeLxS6wIEGKMfedeSYxtVwsFpB2P/v9fp8Hp4NyV3X2GT0emcVOMof9fBzjXvZa8nZ78fvzVOM0InQAProdO8lcxvfzU03H0UAHsYPMSK3w2S+IhtafjJsgrZUL0J9omJHa1bUAXWsGXQT0hzQA/Zmm4/jtTIPUaqwG6Nd+2IdrP96Dd396EO/+9KBuF/eVAnTRBEwT0DXmz6VWdzELPQug54wqU5kPF8FbbQZdCejK/78kQM9yrPJjzgvQs7yu0oQuI2ZNrYL+qMLFXW4S93Ilbn6zLiegX33voewVdHEGXQPQJd8BGaD/eqrZSBkxlJJxbVprywD0dbbybXFnoKIN6BazS7WqnLmP7H+erUJuMrHKKYNA7Sr4Zm40KxTZrH42x5ylayDKjaCJDmm6uItzx2dV5s5FtXDD2MIdS83oq1/8Qnwfzm1IQBlrJspspoiVZ49lE2PKmJFa5j4sFg8CtBvxclbJVgNxMQZtB5lR3cZm9cNPO1OjBnbIo86kYzU5MOUT0E7GWSRaWgydDRHKZrTPhhLoJrOopD1pr1NOu0DsNQjzuxEvF2QVZ5sUjRahA6il+1BJe/DFrUfho9szYt16yCyq+X48EI6jg0xiD2VxeuJr+WmnBPFHSwQ8t2kCZjNJg/4+bgENdBBfbR/Gfj6ObjIrucSbTOzhh8vZjBMBNlLwQDguHavF7ILZ5EATHZJi8T4bHc/ZIWJoPcm4CdJauQD98cgsHq2fx8VUPJoaoF+ojuGx1O8qAf2BcBwPVsclwzhVQP9GDW58qxnXv9uuDugpvfuTvdqA/p3W3IAuz0FfQUC/ds6nDegyYNObg64X0JWt7fJ881yAnhavliega1XOVQFdL6TLWtszstBTFfSMHHS9gC5W0BWA/s4bE+ou7gUG9N9MNxqAbigl49q01pYB6OtsrfYMuiib1Z+zothFtLPRTSbm6q5WqV2UDY9q5qcv6uHa7O7xItRl28ZspvCQ1ixZ8Wwf91YlUU67VI3szGaKXm5eM9ZMjGUTI77UuwNsGHSx2ewg35vaT/pDjCJbBY77BIx7BbiczSqmdwyEL9UtSLPmSuA3myk6yCSi3AgerFYzpbNLx7uXj2MvH4fL2SxrLbdKDwAsFg9mygSE+L6Mc2w2E5jNFCOeJKr5fpwJKtv5WWSb3VaF2TIBJwNJuEkUe2hMmq8Xs97PBJPYzI1K8/mLr8UeMoT4PpwPx/HZ6DgCtBuVtEeqjIuwbTG78Opd/TjiTqKdjKOcdkmZ62I0nRgd99LWUWzmRtFAB1FJe9iYgMWTcS4NrWcZN0FaazmA/lDtAs5tSGQF9NPBJM5tSOBiTUwT0G99bQNuvtKIG99pZVV0BaC/94MPs///4z2rAug3/3z1AF2rgq6VgS4HdOW8uBagq5nDLQXQ5W3nWg8TlA8U1HLQtebn09rbVXLQ84lZu/EIyQ3oipg1EdCvXb+iHrP204PqM+hP27O3uKc+cwPQDWXKuDattWUA+jpbtwvQnfawlC2tJWbGln0/ZjNJVZ61tzniVjciW9wHA+NcrzVTJmhGnZlMrAp+sSaW8wLXRIeyVtzFrOxsbf5RbgQ+ul2zsm8xu7CZG0UXmc4ar+a0h1FL92HKlz2CrZ4ewKP185oxbiG+D8d9AjrIpOoIQzeZRYB2w0e3axrHtZEx7KEx7CRzCPK9GCjOPEdhfjdKuXaMeQUcdqvnw7uczYiXsxGGI+6krIq/uM24l7m1nwmy0QDla1Xz/YhyI7hcP4/jPgGX6+ehBOuB4gQa6CDi5YKUy34ioHxvNulhwL1VSWwjE8aMnyGZjJsgrbUcQL9YE8P9oYQUyZYN0LNV0CWY/toG3Pj2JnVA//5d6T/TAvR/2LjsFnfdgP7JYrx/wbVsQJfgfAmAroT0bICulomuCugKQzcloEs56BqArnrMSwH0+Y1ZAf3tk6H0mDVZBT0D0J9xZAX0qz8bxNu/msY7V8+rArrk4v4vd+LGt5qXBehGi7uhRRnXprW2DEBfZ2ulAF05k6sleUVVTfP+7KBqMlnBOepYi7NGq7rdVgU3iWaFYpPJivtDCbiczZoz9GaTA0W2CjxYHZditZTbOIpCaKCD2MUtaMaxiduJJnFqkWjyWDPOUafx3uw44k5KkJgea5b+/kdLWGWZOiKqDyt8dDumfAKSFYIUs6Y8nmJnI8ppFwaKEyjl2mG3VaV1QTiKQlKUXBsZQweZVH1v28gEerl5KdLNZvVJcWgmEzPZEyvvW7hjOFWVRLFTbl5jk2LiymkXvr79MCppD9wkKsWayT8vL9eGC9UxnA0l4CbRtBEKzlEHi8WDIlsFXtvVi4dqWUwc56hDsbMRZjOFoyiEYmcjDrmS+NmhDnSRaRwtYV0MnKMONqtPitFz2sMY8STx4pajkolemN8tnVNmGni7jRgNrR0ZN0FaazUA/Uwwmb2CLuaVf7kCN19pxPXvdWgDukyrBeg3rzgyAf2TxYUFdFmuuJZ7exooq7S5qxnEZQN0eQu8EtCVFXP5f2fLQF8KoGd0BCgAXTl/LlXQU23uckB/73wJ+3xkLu75AnpGi/sSAF2eg640iTMA3dCijGvTWlsGoK+zdbsq6KK0jMDkslg8OJ6lwmsyWTHiyXQyV9OYV8h6AfKQVlyqW8hpdFfN96dav7W3OREQdMRq2XFvVVLTvM1kYkArRpJpZaCbTFbs4haydh3YbVXoJFM47E6m5rHVtyvl2nE6mMwa4ya2vt9blcx6PoUKAW1kTLUabjKx+fxy2oVTVayFXRnZJqqbzGK2TNB8oGG1eNFPYzjsTmLcK6CXm1f9PrhJFL3cPM4EkxgtSeK4L9NZ/mwogXYyjq/cMYIIHcBAcQKnqjLPa6ycdQx8oiaGWrov40GSOM9/OtVaf8iVRAs3jFKufcl/Xwx90GTcBGmtQgD6hWoG31eWA+gv+RlAveDBzX/YqAno77+2Y1HLAfTPFRcU0DMi1rK4uBcE0LPMcqu1uusBdKmSrQLo8hlyeQU9m+O88vi1HizkAvS0CvqJDUsDdB0t7jkBPTWDLgH6l3x5Abo4zmC0uBtalHFtWmvLAPR1tpYC6G4STcWUZd9ONPTKuo2Z5JxFN5scaKCDmi7noj7drA6TclXz/Tnn0t0kCpvVlzVmzWSy4p7KxQqw+nujcDmbcTYVlablKG+z+uC0h3F/KJERUyY/B7V0HxxFIdxTKbZ2Z57bUq5dijU77hM03oMNHtKK4z4BjqIQq9BniXE7VZWUufOnt3l7uTbU0wPo4xbwQJjlgKfFoJldUodDJ5nCZm4UZ4JJaW5c3K7IVgFHUUg6/qcap1PnIjP2jdhrcCIgIFYuwEe3s4q77Pj9tBMe0gof3Y7vdO9DAx2EoyiUer3F6no57UKQ70U7Gccbd0dRTrvgKApJD2dCfB+c9rCUX365fh6PbZyDoygkRemZTMwozlEUArHX4Itbj2K0JIkHq+NSBJz8uIi9RvP7Ymg9yrgJ0lpagH4+vFgVzwXoF2tiuJLaTgvQP5EC9AvVWQD9yVSl88sVuP7ddm1A/5c7GZx/r6OwgP50YQA9Ww66PGZNFdBl4KsF6FqVdDmUy83j5NV0LUDXyj5PA/QUPCuhXM3NXRegZ8lDlz8o0AT01Az61fsqJBf3986XsM/mIs8A/YojL0BXNYnLBegyk7jrf0w1Y9YMQDeUKePatNaWAejrbK1kBd3LteVsYQ/yvVnnukV1kWkd1Wg2my1vl9ZSJ5nKCkr6YtZYa3gft5Bzhr2BDmIzN4oeMpvzfc6UaceyidrPx3HIlXtGfyxliKb15x7Siisb5+CnndjMjWpuV0v34crGOXi5Ns2YNc5Rh718HMd9DJy14vQCtBvbyARmygQE+V5NY70oN4J6egCdZCoVU5YZyxYrZ7PklbQHx32CSnWauaknKwTMlrG59Hsqk/DR7YrPzAY3ieJkIIlPNR3HmFfAweIEKmlPxveulu7Dfj6OKxvn0EEmsYtbQDntSrmzL35uW7hjeKJhBqVcO8L8bnSTWYT4Pll+uiFDxk2Q1soG6GJVfDUBXXTmvvnNOqmKrgboEpwXCtCfceivoItZ6LkAXTaDrIT0jCp6DkDPNY+uVkHPG9DVKtwagK5sO1dzdJdX3FVb81P/ncskTv6achd3NUBPc3HPVkH/anBFAF0zB12cQT+xwQB0QzIZ16a1tgxAX2dr5Vvc9TlW65vLteGJhuyQHuL74KedOB+OZ92ugQ4iyPdmzSg3mRgktnAsYivb/nq5+VS7dPaL22F3Env5eNbtGuggotwI2siY5A6udoxNdAg9ZBb19ABmywSodyuwWLNDriTC/G4cdidV92U2UynW7J7KpOZDCTFm7cFqlhHO3oct47WpIwI3ieLxyCz6qWiclxkh5+Xa8EA4nuX9LsaynduQkAzkWDfCYsSb2Uyxh8bgIa04HUxiopRF0onnRdzObqvCYTebad/MjeJy/Tw+0zIpHZ/4+j1kFp1kCh7SiiY6hL/bNpwyAGSO8GaTA1aLF/X0ALZwx+AmUTxaP48GOohDrqS0P4vZJVXhxfb2XOaIhtaTjJsgrVVIQL+c+pkeQH+4VhvQ3/poGLeep7j5SiMzjMsG6K9u1Q/ochf3JQL69T+mugBdhPSMFvdlALqyqp0N0OVgnmseXQnoacCsA9DV2tzlgC7+PKOKLnu9DHBXVO+zxawpAf39C66CAbqYg64K6OIMuqKC/v4FlwHohnTKuDattWUA+jpbKw3obC43e5u7yWTVFYdmMrGW6Xp6IGf7udlMEeVGclxsbBgtYeCa/XXtUjt1tgxrs5lIMV9qc9Lia4pxa24STVW31c4Pg8CTgST283H0a8yMi2MEbWQMbWQMETqQZTsbdnELCPF9CPO7EeL7MjPMU7FmR9xJeLk2BGi3Zsya2UwQKxfQQAchVAiqLfxiPNnJAHMwH/MKIPaaNKM6CY5NDpwICDlj2awWLz4bHUcnmcLpIJvLl1e5xWMzmew45GLz32dDzHFdWQ0XzfjOhhLoIJN4IBxHH7eAbkXXgdhuf6luAR1kUvIpqKX7Up0HtrT3cTaUQCeZwgutx+ByNqOUa89pdmhoPcq4CdJaegD9sg5Av1S3gIdrF5YN6O+cqsRPBzrx5vxG3HrJj+uvbk03hlMB9BvfacWNb29ak4AutrnnBHQdLu4ZeeIaLe5KCNcCdK1oNS1AV7abZ4P0tMx0JaArwFwr2k0J6lKlXg3Q1XLQC1VBLwSgyz7rV+4cyNoxaGg9ybg2rbVlAPo6W0sF9Hp6QHOmeqnqJFOa7dNy7SAzWfLGF9VPY7hYo22GJspi8aQq6dm3s9uqsIU7hmSFVrWayU2iUjU62/4qaQ8mSgWE+d058tytUlRXtgcE4rnpJrOopD2ahmtmkwPbyATayXjW922z+tHCDWMXt4CjJSzWTMsHQIx966exVKyb+vnpIJPwkFaE+D6cDmqb1clj2S7WxLKenwY6iKMlzIyuiQ4hpnHed5I5HC0RpJxy9jlmbjdbxjLiz21gbvT/d9/vS67vorrItGSi109jaOGG8dymCdUHR8XORlTz/RjxJHN2YhhabzJugrRWoQBdLr0t7p/KAug/+IMevBmrw62XKxdd3VcT0B/PD9AlSM8F6OIMehZAzzrHLa8wa5jE/Wa6Eb+ealaF9OUCuhacqwG60t1dCejyWXndgC7OoJ+qzA3o2XLQl9HinpGDrmhxzwXoWqawhtajjGvTWlsGoK+ztVRAZ3Cut32d6IJ5q8ULi8Wja4b82ZZJXa/NOergJtEcr2+D0x7G2Rwxa6K8XBvOBMVsdW1Qr6cHMO5Vm4tWnh8qxZM57WFYLB71c27xwGb14flN49hJ5jSr9PKYsiY6BA9pBXVEVLsJHEUhDLoWTeU8pFV1jlsea/bS1lGU065UrJt8OztsVj8cRSFs5kbx0tZRUEcExF6jeqzMMM2PeypZFnknmUIl7cnwLaCOiHR+dnEL2MUtoMhWAbutKu1YLRaP1FI+Wybg85vvBueoQ5GtIi3yrshWAYvZhdkyAX3cAj7dPIXz4TiCfC86yKRkXidGsJXTLqmF/c8is2igg/CQVhTZKqROAIvZBQ9pRYB2Y7QkiccjszgRYOfTZvWjlu5LfX7ZDRENrTcZN0Faq9CA/lDtAi7V5Qb0y/Xz+FTTcfxmulEV0L/9e/vx+u4P4+Zjdtz6alCqpBcM0JUxa2qA/phOQJdX0XUAuhzOtQBdBFw9gK50Yc8G6GpSA3Q1WFYDdPn8uRqgv/XRcHo7vkoFXQvStQBdmj/XaHHPCuhfcC0P0F/boR/QRZNAA9ANacq4Nq21ZQD6OlurEbNmt1XlYYxlzxoBJtc2MoFqvj/ndntoDCG+T5cZnd6YNZPJioPFCcnwLNt2h92sjV50ac+27WZuFCcCuU3iTCYrBl0JtHDDOR5o2LGfj2MHmUlVtnO/p0OuJLrIdNYxAqvFi15uHv00hgDt1mzfpo4I2sm4ZLi3OI+uvt+kLJatmu9XjZUbdCUQ5nejnh7AETdrnT8ZUDfMayfjCPF9eLh2AS3cMI772HGonTPqiOArd4wgyo3gZCCJeb+AS3ULGeczVs4M5IJ8L/bzccyUCRgtYd4CSiM78TtybkNCcoNf6t8jQx9EGTdBWksPoF+qW9AF6J+oieHh1J/rqaA/v2kc/3t8kyagv3pXP/5t8EMMfr5Zh+vfbdd2cF9jgK6MWlMF9NT/5gJ01dZ2BaDnilZTzqMr/0wT0GWQrhfQRSjXAvRsWe5ac+jS/lQq6O+e8S8Z0MUHP4UE9Gwu7m+d2GAAuiGZjGvTWlsGoK+ztTxAt+VlKJILTkWZTQ5dpnHUEUGxszGncZzJxKr4p6qSaCfjObd1kyg8pBUnA7mz1cX4sYs1saxAa7dVSWZnA8WJtIgxpUq5dmzhjqGDTOLchkTWeDkxduzzm+9GOxnPud8+bgENdBDzfkGqdqtt63I2w8u14cUtRxHi+1Bkq0hVfzNN3mxWP05VsVz0oyUsuk15LswmhzSbX0v3oZebx/2hhGacnY9uh6MohAfCrAugl5uH3ValGkNHHRFU8/3oIbPYRiZwsSYGq8ULR1EIVosXZjOF3VYFYq9BkO+VjuNfD3Shh8yC2GvgKArJoN2Oar4fIb4PUW4E91YlsYPM4NH6eRB7jVSVF2f1gnwvymkXSrl2BPlevHLnAAK0G0W2CrZdqkPCbCYqXQeG1reMmyCtlQvQRTj/hA5Av1C9COiP1s/nnEH//Oa78eupZtz8Rk1WQH/7ZAi3nuNw85VGXP9ex+0B9Eed6ZCeBdDlcF4wQJdlgucCdLVquRqgq8WsaQG6Vtu6FqDLjd1yArqGe7wS0MXXU1bQNQFdLWYtG6D/ej73DLoS0J+nmYB+kc/MQU991gagG0qXcW1aa8sA9HW2lgPoVosXAdqte/tclWZRpVy7rll0uXrIrM72Yf0VepPJihMBQdOgTS67rQqjJQzk9JiszPsFVNKeNLM0NXm5NnSTWXSRaQRod45quQ1TPgG1dJ/m/Llch1xJCBUC6umBrGBvMbukGfRSrh1jXiHrg4tkhYAxL6uEu5zNmp8lsddIM+s+uh2jJcmsowizZQI6yRTm/Wz7AO1WjZAL8X3oIbO4pzKJnWSSAfmnAAAgAElEQVQO9fQA4uWCyvw+M+y7UB1DvFzAV+4YkSruR9xJDBQnMiri4g38RCmLiDsRYMeyk8yl7ddm9eNoiYCJUvZ5nAkm4XI2o4Ubzut7beiDLuMmSGvpAfRPyCrkegD9Uh2LWssF6C+0HsOtv3Ti2o/3MJDWAPQ35zfi+kUetz5XLFXSMyLW1hqgK+BcC9DFbGx5Hrrq7PYyAD3bLLqyPV617VwB6PKHCNkAXa0LQDXDXauargHoqjPoegFdMYOuBejXrl/JBPSfHtQH6J8slgD92sfLDEA3lEXGtWmtLQPQ19lajRb3dOmbWzeZrDjiTkItmktNUW5E51w6czxPVghsLjsnTNuwmRvFcZ8AzlGXc/smOoQIHdD1EMBDWnGhOibFpeWKXnOTKFzOZsmkTmv7ctqFDjKJdjKOJjqEeb+Q9bjFGevPtEyinh6QRZ1lbmuz+tHLzcNDWjHmFRArF9jMu8r21Xw/iL1Gir3LFsvGOeqwk8whQLuxh8ZwIiBgG5mQHNLl2zfRIRQ7G+EmURxyJXGwOIHTwaTkaC9GsInbm00OHCxmLeYP1S5g3CvgGx1D0vbybo1aug+lXDt6Ug9F/qbtIxAqBFTz/alOhsXtrRYvDrkYeEe5EcRTjvYv33EEftqZcsRnCvK9IPaanCZ/htabjJsgrZUPoF+sSa+QqwH6pboF6XdyAfoXtx7FrRe9uPqzQVz/XgduPcdpAvq1cz7cvOJg8WspsCoooD+dgrjbDegqRnFqgC6PWFOD7GyALnd6VwV0BTzLQVsL0JWt79kAXSsPPaOCL/sdqaVe5wz6jUcIa3EvNKArTeIUgH79j6nU4v7eA14D0A3lkHFtWmvLAPR1ttQAXTsibHmyWf26ZsZFmc0EO8hMmsFXNlnMLgT5Xl0502YzQSnXjkfr53O2sYvbe0grxr2CjiqoHcd9zByukvaggQ5m3a8YzXU+HNfVkdBAB9FNZnEywKLQtKvfdoggf9idRDeZzbq9xeyC2UyRrBCkmLVuMqu5vdlMYLF4IFQIGPHoj2WL0AHEywU47WGV7W2yEQc74qnte8gs2sl4hpu6fPsuMo02MoYXWo+hn8awmRuFn3amfR/YeySwWrzopzH0kFn8WWQWTXQIB4vZbLvcL0GMV+Mcdfi3wQ+hl2MzrPX0AKgjgoPFCcnUTso+t3hgt1Vh3i/gZCCJcxsSqKQ9cNrDKsdvaH3LuAnSWisB6Jfr56WW+DO5AP1LPrz95glc/fkwbn1tA66d82kC+o1HCG49acetL/kkg6+cgP7litUB9JQxWDZAFyFdL6Arq825AF10RldKDdCV/60K6CoVbK0Wdy3neWXVX8/8uRagZ0Ss6QH0x9hnmgboL3oLB+hZZtDTAD01ymCYxBlKl3FtWmvLAPR1ttQAPd8qX5QbyWv7fPOgj/v0maaZTFZs4Y4hyPdqmoapHUuAduuKWRM1UJxIHVP27YpsFYhyI9hJ5tBEh3KepyJbBVq4YUz5WCVWz3kK87txOphEhA7k3H4HmUGY3w0v14aHaxeyPjgwmdgDFdGFfrQkiUOuZEbLt3J7eSzbIZd2LFsLNyy1fHeRadTTA7hcP591/4OuBKLcCI6nzs8W7hhmy7Q/h34aQ4QO4MrGOWzmRqXcdLVte7l5nKpihnO1dB9e29WLvXwcj0cyW+hNJhaz5qPbcaoqiQDtRqycRbOdD6vHqEW5EbhJNNURoP+7b+iDLuMmSGutBKA/XLsg/VwXoP/XH+Lt3yZw7Yd9uPW0PSug33zczoD6yxW4+c06Bua5AP3LFQzQX/QySF8LgC5KBm5agK7MIS8koMt/X5pHzwLoSkjXA+hyIM8F6MqIt5yA/rGA6gx6PoD+/ms7VgTQ01rcDUA3pCrj2rTWlgHo62wVosVdr/mbtL3ZJUnP9o6iEOy2qqxz0umySRVLvds77WHcH0rofHhgg6MohHsqk6COiK5MdovZhTNBfds7ikKwmF2wWrx4sDquGVMmym6rYufT4sGpKjY7nX3e34ZiZyMsFg/uTW3vp50I87s1ANkmnf+zoQQGXQkpZo3N0CsfnqTHsn1x69Ec27PzU+xshJ92Yj8fx9lQQjLrs1n9aZ+leH4sFg9auGEcdidxPhxHD5nFEXcSNqs/LaqN2GtgsXhgtXhB7DWYKRPwnW42p99DZrGZG4XL2Szr7rChnHbBZvXD5WzG6SDrPnjj7ij6uAXJO2Bxtp59f+y2KnCOOox4kmjhhiFUCLi3KokQ34diZyNsVl8eaQaG1oeMmyCttRKA/lDtAk4Hk9Kfnw0lsgP6W/fh7Xfux9WfD+PGt5rx3vmS3ID+uWIJ0m++0lhYQH98dQE9m1GcHHLF1nGtmDUloGuZxakBepqju0qLey5IlwO6ZjxctnnzLBX0NLd4LUBX5KAvCdBlLu7ZAP3Gt5rTW9yftmeYxMld3JUPYgxAN7Qo49q01pYB6Otsrf4MOpPowK53+2q+HxE6gKMl+irdTXQIm7nRrBXWTNkwUSqgh8zqilkzmZjj+4XqmC5IN5mYO3o7GcdxH8vgzrV9sbMRbWRMyipXix1T00BxArV0Hyppjy6TO6vFi3urkqikPdjLx3XFrPVxCxgoTuCwm5nj6Yll28vHUU67cKqKGc5p3RAoY9xauGHMlgk5Y8oOuZII8r1oI2O4pzKJvlQ1Xzuv3o5PNR1HLzePM0G2/ec33402MoYuMq26vRizdj4cxzYygTC/G5+oiWk83LHhkIsBvp92qpraGVrPMm6CtJZeQBchPZdJnBzQH65dwIXqGB4Ix3MC+jtXz+Pt//pDZhj3ggf/ORfBv/z+ruyA/oKHta9/bQMD81cabzugSw7uioi1vAA9BemagJ5lfjsfQP/NdKM6oMtBOU9AV6uk5wJ0+UMBtQq6GqCL50+rgi6PWbv1pJ2ZAKrMoN/4Tms6oL91nwTo775/SdUkThPQH7OrxqwZgG5IW8a1aa0tA9DX2SoUoJdy7Sjl2vP+vWwtzWoK0G7YrH5dTukmE4vAipczx3S9Ffh8YtZMJgbdbhJFvFzA6SCr4ObqKhCrsPdULm6f6/gcRSGc28Cyz3eSOTjt4aznT4w728UtYCeZw71VSVgsnpwPE0q5driczTi3IYFd3ALC/G5wjjrNjgdxey/Xhpe2jqKJDiFZoR3jZrV4UUv3SRXl+0MJnAiw7c1momneF+R7pYp2OxnHy3ccAbHXwGb1wWkPZzwgqOb74SGtCNBudJIp7OIW8PcfGsRMmQBir4HV4s2o6HtIKzrJFKgjAjeJ4it3sJi1nxy8EzarDxaLB24Slc47dURgt1WhhRsGsdfgYk0MI54kmugQzgSZK73dVgWb1ZdW1TdkiMm4CdJa+QL6xRoG4XoAXfzdcxsSuFCtD9DfeWMC733/Ltz6cgV+OtCJ/3doe3ZAf9HLIP2rQVZN1wPo4hz6KgG6GAWWL6Ar59A1AT31M61oNbV5cxHQ1WbSswG6EsTVAF2eg57hPF8AQH/7ZCjNKG5JgP5ypXoOugagv/PGRO4KugqgX/t4WRqg/3amAW1kbA38m2hobci4Nq21ZQC6Yt28eRO/+MUv8KMf/Qhvvvnm7T6cgq/bVUEXpae6q9RhN4sHy+d3nPYwnmqc1m04J+pEQMBeXn2uWEshvk/K+NazfZDvRQeZxOkgAztWJc49c39/KIF+GkMnmUIp167rvXWQSVysiUnbq1eJ02Uxu3Bl4xxauGHsIDM5YtkWj/uIO4l7Klk+usvZjC3csayvI1a/r2ycQzntwhbuGLaRCXhIK4J8r+preUgr+rgFnA0lcLSEVdhLuXZU8/3YpdqhwI7vgVRL/N9/aBAhvg+buVEcLWHRcH7aqfJ+bOjl5tFFpvHyHUewl4/jYHECETqgErPG1EbGpMr/fj6uOZ9uaD1r6TdB6+XatBKAfrl+XppHF/eXC9Df/vU8c3V/dStzeL+vAv+VqM0O6F/ySZB+62sbWK56PoD+TCpmLV9Av8jrBnRJqbZsPYCuNtutBehy6FabQ1cD9F9PNWeNWMsG6MpYNbUKutYcvWp7vgzQ1ebf5a+rG9Av6wf0qz8bzGhx1w3oKjno8gq6fAb9cv38Gvj30NDakQHoa20ZgA7g6tWreOKJJ3DXXXeBEAKLxSJpw4YNmJ6exj//8z/f7sMsyCokoLdww1mjwtTUQAcRKxd0z6OL2kYmpJgsvb/jp50o5drxYHU8j+NMj1ljx5kbnsP8bvhpJ464kzhVlT3fW5TV4kUl7ZEM5Vi7mS1nt0ADHUSxsxEuZzOubJzDLm5BchTXOlbOUQeXsxkNdBD9lFWQ5K7vWq/VRIdQTrvgIa14ftM4GuigFMsmjyuTq5x2gdhrEOZ3I14u4J7KJA67kyy2zkxV36PZTBDmd6OeHgDnqMPZUALVfD8Ou5OL8WUq56WJDoE6IvDTTgwUJzDlE/BAOI4OMpmKvrNnHGuxsxFhfjd2kjlU8/34x66D6KcxHHEn8ULrsdTr0YxYtg4yiQDthsvZjBMBNhpxbkMCh1xJfKZlUra9dmydofWu/G6C1uO1Sc8M+kO1C3kD+uX6eZzbkMCD1XkA+i8+gms/7GMg9BwnzRjnBPSX/AzGX65kALVUQNdrEpcvoMvmppcC6KoV6DwAXVlZVwJ6xgy4ygx6GqDLjjNXm7saoKcZ02VxcFcFdFnMWiEAXW0GfSmALn43xBx0CdBTjv0GoBtKlwHoa22te0C/fPkySktLcccdd+D8+fP46le/itdffx0/+clP8Oqrr+Lpp5/GxMQE3G43du/ejX/913+93Ye8rFXYCrp+WJb/jtlM8Feb82+t6qcxtJPxnJVZpcxmCqGCzRHr/x0Ws/b17YdRTw8gQgd0/J4NZjOB3VaFeLmQlguu57zMlgmopwfQT2PYwh3T5a5vMbtgNjkgVLAc8aMlrJ2btXJrvDeTAxazC9vIBFq4YTwQjsNDWhGhA9lj2VIRZGLM2qW6BXi5NhB7jWacnhx2qSOCZ1PZ6zNlAkJ8H5z2sGongDyO7myqJX6mTICHtKKcdqGNjKm8pk16PZPJjjPBJDZzoxj3CriycQ5+2onD7iTcJJpWobdYPCmIJ4hyIzgZSOLZlkkcLE6gj1vAC63HUEl70E7GpYcPcvA3mxywWDzoIJPSLPyIJ6lR0Te0vqX/Jmi9XpvyAXS9M+gioN8fyh/Q3/3JXuaY/c063PpLp1SdzAnocolwvoKAfv2TxXj/QU9mDroeQFdzcNcD6CrKB9DF7ZQ56KqArngQoIxXW2lAz8hBVwC6ODogAfoFV16AfuM7rcuvoKuYxImALn7uBqAbUpcB6GttrXtAHxoawuuvv55zu+vXr+Pxxx/HU089tQpHtXKr0C3ujqLQkrOe9/PxJcxA2XGhOqbaYpxLB4vZjHW+x2s2E3STWYx7Bc0YMTV1kEl4SCvObUjA5WzO6zX3ps7NaEkSYX432sl4Xq8Z5Hsx5WPQnusBQbGzEUG+F91kFmF+N0q5dlyqW9Ad++YhreggkzjsTuJEQMBOMqfr/baRMbhJFKeDrNV90JXAaElSszJvMrHRhQY6iIPFCXSQSRz3sYcaz7ZM5py1r6X7cH8ogSDfiy3cMby0dRQnAgzee8is5miDl2tDlBvBQHECDXQQj22cQ5QbQQeZxImAgF3cgqrr/lK+o4Y+6NJ/E7Rer035APqj9fO4snFuSYB+sSaGB6t1AvprO1ir+5crcOvTDqn1XDegy6UX0J9aPqDLndz1ALoamOsBdGXUWj5gnq39XRXQU9Asny/PB9DVqv9ZHw6oALrSJE61gq4C6Df/XOHirgHo77wxsWwX9+t/TDNM4uSftwHohtJlAPpaW+se0NfbUgd0G2xW/xL/UtuzAlU22az+FATqyzwXZTG7YLP68GTjtBRnlc9rOu1hPBCOp0zu9HcB2G1VCPF9+IfO/wsB2g03iep+Tc5Rh9ky1u7ttIdRzffraru326pgNlNYLV480TCDEU8SXq4NRbaKrC7qJhN7eGK1eHEmmJTmuytpjw7zssVYtjNBFsvWSaZS5md+zQi4IluFZOJG7DV4cctRbOZGcTLA4uasFi/C/O6Mhxw2qw9mM5V+/96qJMa8DLzHvAJ8dDu8XBvcJJrROi5GsLlJFF6uDbFyARdrYthBZvAvv78LHtIqRaopH1SI1X/xO1Rkq8DPh9txJsha3akjgi3cMdhtVSh2NkoPdpz2sBTjxoz7/LhYE0M3mcU2MoEXtxxFP40tyUTR0Addxk2Q1lotQBf3J26XD6Df/GYdA+sUCN16Riegf8mXrqUA+hXHqgO6mhlbPoD+n3MRzUq6FqArQX01AF0J6WoGcUpAV86fS4AuxqzlCejyGfQlA7qixf39Cy7pO2AAuqHsMq5Na22te0C/desWnn32WVy+fBl/93d/h//5n/+53Ye0oksN0M0mx5Kr4KKW+vsnAoLMKC3/3xervqMlybx/94g7iXh5fjFromxWH/bQGA67WTtzPr/ro9txfygBH92OTjKVar3X/5DiYHECIb4Pp6qS8NHtebX8x8sFbOGOYT8fl2LZ9JjiHXIx87cg34uB4gR2kBkc9wlo4YazttOL2kFm4KPbcTqYRDntkpzm9cTojZYkMehKYA+NwU87cW4Dy2XfQ2MYKE5kfdDhJizL/EyQQf9xn4AIHUAPmcWVjdlffxuZwGdaJlFL92EHmcG8n3UkfKImhlq6Dy3ccNbfP+LO/ztp6IMu/TdB6/XapBfQL1THcGXjHK5snMNDKQM4vYB+ZeMcHk5B/sO1C3hxSx6A/pKftbr/eQq4nuMYaOsF9Be96TFreQC6BOe3AdCztbbrAXRl67tuQBdhWg7Wshb3bIAu/++0tnYdgK7WVq8F6O+cqsTV+ypY5vw5H947X5IO6I/qB/RcM+i5AP3WkyqALn7+BqAb0pQB6GttrXtAHxoawtzcHP7kT/4E09PTaG1txY9//OPbfVgrtlbKxV2s9C7ldx1FIbiczbqzxTNlR7yc5Yw77eG8fleshIut6Pm+Bz/tRDntwkyZAJezGTarT3e8m9lMJcMyoULAvF+Qqt569iHGf3GOOpyqSqKTTGEHmYHZTHPGvpVy7WmxbL3cPE4HF2PZzGaa1ejO5WxGkO8FsddI1fJOMoXTwSSsFu9ifJrq+WRu7G4SRTntwkAxy3w/7hMgVAhSRdtsJhndERaLBw10UKrk++h2ROgA/rHrIFq4YcTKBTjtYTiKQrDbqlLdFovdIUG+F057GG4SxWZuFAHajS9uPYqB4gT+T5LN7tttVaCOCGxWX6pbYPHhCXVE0ESH4CgKgdhr0MvNY7QkifPhOHaQGWwjEzgfjuv+DA2tN+XX4r4er035AvpjKdjOF9DFP79Ut0RAf8yO658sxs0rqZniFzxLA3QxB/3TjlUHdLlBXD6AnjHHrXBD1wvouQzkcgG6GpzrBvQsbe4ioKvFrKm1uIuALlXQ9QD6F1xpOehqgH71vYcKD+iGi7shVRmAvtbWugf0aDSa9t/f+973cNddd92eg1mFtVKAbjG7dBqpaevh2gVs4Y7pbh3PlA33hxJoJ+N5g7rJxKq8TXQIvdw82sl43pnt1BHBfj4OoUJAF5lmzvN5Ar+HtKKHzOJEQJDa0vNpwz9aIkgz611kGkG+F4dcSeit0HeSKTxUu4AIHUiLWRt05TLYW9x/LzcvxafV0wPoIJNookO6KvVmkwNTPhZTFuR7cW5DQppxF2fW1b9ni69/NpTAyUAS834BDXQQh1xJHC1hD3D28nFU0h5s5kZVfteGIN+LmTI2l97HLeCVOwcQ5HvRwg1jolRAB5nELm4B5bRLIwqOPfTpItOY9+cXDWhoPUj/TdB6vTYtFdDPbcgf0B9OAfpLW0dx63maN6BfO+fD2ydDeO98CTMA+4JraYAuZqAvBdAVGeirBejylnE50OYD6GrbZ4CyTkBXy0TPB9AzYt30AnpKYpt7thz0DEBPRfLJZ9CXVEH/ki+txf3Go85FQD9fYgC6IR0yAH2trXUP6J2dnfjpT3+a9jPljdEHaa18DvpSnN0XFeZ347PRcVlsWP77qKX78EzT8bxj2ZhYzFot3YcA7caUT0CuKDKlzCYHInRAagn/q81j8HJtklO4rn2YqRQ7Vkv3oZvM4mQgmdc+GuggvFyb9OChjYyl8uTtyBXLJkqMWRMfOLRww0hWCDjiTqaM4Ng+tGPFbIhQBrnbyAS6yazk4j7mZdVu9rvq+yjl2sE56hChA5Ir/tlQQtrHiQAz7hPj8LTOTy83j83cqJSz/lebx7CNTOCBcBzPbZpAP41h3Lt4bkR3fJPJDs5RhyDfi13cAurpAekhUinXjuc2TeCQK4kzQdbBEOVGUseS33fG0HqR/pug9XptygfQH0ttdznlyr5UQP/KHSO49bUNePud+/MG9P+ci+AXR+7Am7E6XL/IM/hSVtLzAfSn7bcP0BVQu1RAVzOK0wvoaZnkKm3m+QC6/L/zAXQ1WNc0icsG6Bf5xRn0K8xcUKuCvqKArnBxN1rcDWXKAPS1ttY9oL/++uvYtGkTTp06hWeeeQanTp3C3r17b/dhrdhaaUDPt+KrJovZhS4yjR4yq6h05rcPMZZtMzeKenogZ9t3pmw47E6ihRvGiQAzLcvfdd4Gi8UDR1EIE6UCkhWsFb6HzOaRBc/A08u14ZAriWSqDXwHmYHTHtZpRsYyzytpD/bQGE4E2Dx1Ax1EF5mWYtb07EPMJb+3Kolebh4ROoDz4ThczmZE6AD8tFOz+yAtK9xMcDKQxF4+jmq+H+MpY7gGOohK2gOnPazqbZC+D4pqvh9/t20YDXQQx30CLlSzmLoGOgjqiCDE92W44ItRbOI4gNnkwBMNM+gi07inMonnNk1goJg5PruczaikPejl5lFL96V/z6SINiod07Mtk+jjFnBvlTGDbkgp/TdB6/XalC+gPx6ZxeWU6dtyAP36q1vxzrsX8O77lxgI6QT038404CcH78Qrdw7gf+3cg/+TrMGNR2UzxnoBXZxBT8F5RsxavoAuRq19vGzJgK5lDpcPoMsjzNRa3PUAuhKSleZ12QBd3FbLJE7TiC4XoGsYxakC+iMkE9A/V8y+BwoXd12Anor+u/GtZtz62gb2vXqOSzOJu/EIkcYe1AD9UQPQDaXJAPS1ttY9oAMspuZzn/sc/uiP/ghPPPEErl27drsPacVWNkBv4YYLUvUTZ8oL8Y+GGNu19H3YsZdn88EXa2LLOpYdZAYHixPYy8eX0YbP5rcnSpk7+R4aw0Qpq9zms49Srh1jXgb7tXQfpnwCotwIwvzuPI/HhhFPUopZ6yCTuFgTk1rc8zmeAO1GN5lFhA6glGvHo/XzkhO73v10kWnsJCzGzOVsxulgEtV8P8a8rGof4vvQlyNf3Gwm6OMW0ENm4aPb0UbGMFPG5ttFR/t/6t6r6zt6sDiBAO1GlBvBcZ+ATjKFk4GkFLP22MY57KExxMuNdnZDepTfTdB6vDYtBdAfLQCg3/j2Jly7fgXv3XycVdHzBPS//9AgXtxyFN/+vf345ehWXDvnYzAmN5DLA9BFEzox0k2C9NsM6PL/XSqgy6XcRg+gK48t2yy6HkDPBenKNvc0QJfNoEuAfr4kvcVdrYKuA9AzZtD/6w8NQDe0QjIAfa0tA9DX2coG6PlXmLVkh9nkKEgOtGgUdm9VEkW2imUdI7HXYMSTRAMdRAMdhKMotKT92Kx+UEcE8XIBZ1O52i5n8xIebthhs/rhJlHJJI5z1IHYa1BOu/J6yOEoCsFi8eDeqiSa6BB6yCzObUiAOiLwkFZdsWwmkxVWixfUEYHF7JIi2gZdCTzTdFwylQvzu3XM+Kei2swu2G1VOFqyONfdQAelTgI/7QTnqIPN6lN9v8xwjsJuq0KRrQJmM8VMGXP+FyoEnNuQwMO1CynDPHYuA7RbJfvdDqc9DM5RB4vFAz/tRIB242JNTDKJe+ujYfSQWZwJJhGhAyinXQjQ7oyYNWKvkWLWmDEgi+7bQWbw8h1H0MINo5/GcG5Drrl9Q+tPxk2Q1louoD9UuyBpOYB+4/97erGKnoKh975/l25A/2bHIfzgD3rwm+lGvHvGz6rpYl66COfLAXRlzFq+gC6D8wwX9zwBPZsber6AnktagK5sO5fP0KtFreUF6AqnevlrZ1TQRUA/55PM+q5/shg3HiHpM+jPOAoG6DdfaVxscTcA3dCyZFyb1tpa94D+7//+73lt/8tf/nKFjmR11srPoC/KavGinHYVbH9BvhelXHtelV01WcwuXK6fRxMdwph3aTFri7LjsJu1eosRYHpix7RU7GxEGxnDlE9ALzePfhpDOe1CAx3Me192WxU6yRT283GE+D5U8/2IpWLWWLRbfvsTZ+rvrWJt/4dc7H/LaRdOVbFKdz776+MWMOYV0E7G4aedOB1klfz9fBxdZBo+uh1dZFrXvnZxCwjQbuziFjCbmm8fdLGHJ49HZhHi+zDiSeK4T9Bl3PdQ7QKO+wTMlrG2+24yiwfCcfTTGMa8AmrpPlysiSFAu9FJpgr2HTf0QZf+m6D1em1aCqArIf0TNcsD9PduPs6A6M0TuPqLj+DaD/vyBvRfTzXj6scCeP9BD6ug/rl9EdTlGej5ALq8ii5zcV8OoMuNw7TgVjegp6rpSuUL6NkM4/IBdLUqunIGPWv1XAXQpdeTz6CrubjnAnRxBn25FXQD0A0VRAagr7W17gHd7/djenoar776quY2b731Fv7iL/4CLS0t+NM//dNVPLrCr9UEdLPJAZvVrxuy9CrKjSBCB9Lis5YqZcyaxexacmXdbKaI0AFwjjqcDLBZ8QY6iHEvg8KlHK+Xa4PN6sc9lUnU0n0Y8SRxqkoeh0ZgtXh17y/E94Fz1KGUa0cnmcJno70zuPIAACAASURBVONookPYSeZYLFlqvxazK+eMvI9uB7HXwGb1o5bug6MohNPBJAaKE/hU03F0kWm0cMMoslXAZvXBaQ+zmW2NTgOxQl/KtUuRdbNlguQBEC9nVXgWwUZRZKuA3VYFR1EodW7tGcdXZKvAFu4Y7LYqlNMuVNIetJNxvHF3FF1kGhdrYnhp6yjcJCpVxu22KriczXDaw6lOAZv0+Xq5NgRoNxxFIbRww7BZ/Sh2NuLB6ji6yaxRQTeUQ/pvgtbrtWm5gP5wgQD96nsP4e137met7j8bxPuv7cDNf9i4JECXnLwfT82X/6WTAdXztCCAnlZFXwagi9KqQOcD6HL4FavpSjBfKqCrVbPzAXT5sac5tSuBXS+g/2EQ757xM0DP5eK+VEAXzQvVAP1Fb96AbpjEGUqXAehrba17QH/zzTdxzz33oKSkBH6/H/39/ZienkYikcDRo0exdetW2O123Hnnnfjbv/3b2324y165AF1scS70X35HUWjJ4KulQ64kwvxujHj0x4hl0w4ygxZuGEIFM1A77C6MyVc/jSHE9+GwO4kdZAY9ZBZRbiQvsFaqlu7Do/Xz0uz4Lm4Bm7lRtJPxLI7q2XXcx2LEHqplbehRbgSDroTkIl9Ou5bQHWDHRKmAfhrD2VACHWQSQb4XI54k/LQTXWQatXRfXpnhu7gFhPndGC1hUWqnqpI44k4iQLsRK2ez/TvJHLrJbJaRiMXvi9XixaW6BTwQjkvz6s9vGseZYBL3p0YY7q1KopRrT4tZC/F9WfdryFCm9N8ErddrU6EA/eHa5QO63NH93Z8exPXvdeDmN2pw63m6NEB/jJm/3XoqNYv8jINV1UUtBdDlbe7yHPQCALrSxV3eJp4voGvNnatFrOkFdDmEp0G67OGCHKqzVtBzVdRVYtbE8/XOqcoMQH/vfIm+HPQVAHS5i7sqoJ+qNCrohhQyAH2trXUP6OJ6//338dd//dc4ceIEBgYGsHv3bhw9ehSPPPIIvv/979/uwyvYygXoy6kgZ5PN6sfREiE1U1y4+KlSrh09ZBbbyAQ6yCRz9k7Fdi1nvyKU7ufjUgVXdA1fzn6b6BBauGGE+D746HYcciUhVAiyWC8bluKC30bGEOZ3o5buQzXfjx1kBg/VLmDQlZAi1dix57f/LjKNctqFJjoEN4nC5WzGM03H0UNmcU9lUrZfmcN7zvNvRw+ZhZtE0UAHUU674CZRPNsymRbjdqluAVKMW2q/2c6/1eLFweIEip2NiHIjaKJDqOb78epd/djMjeJsKIHL9fP4TMskzgQZcIuRahazK82JXb5f6ojgiDsJ6oikxaw9Wj8v5aw/XLuAeT+r8jfQQfRy80bMmiEV5X8TtN6uTYWsoD9cQEB/55dj6ZD+l04pZm3JgC5C+jMaGeiFAHRlzNoyAT0NdFUgVi+gi3+ujGNTg3NpX3oAXVE5l5u7ac3MLwXQ5edLPJdSi/tKALqyxf21HeqA/rh6DvrV+yoWDe0+FjAA3ZBCBqCvtWUA+jpbq9nirpTZ5EATHUKygs1XF3b/DKweCMdxtIQBXqGOWYRQoULAw7ULqKQ9IPYa9HEL4Bx1y9g/i0+z26owWyZgysdmm08GknDawwjxfalYr/yz3M0mhwT9yQrm8P6ZlklU8/1SnrfL2YwdZAbEXpNXZVzcr9lMsZPM4anGaUS5EbSTcSk2bS/P4sk4R50U45ZzvxYP5BFsFrMLvRyD4Fi5gJkyARdr2Ey+eP6LnY1ookMI87tB7DUqLva2VKdCKlLN7Eq12VP46HY8EI7jb9o+guc2MSjoItP4/Oa74SZRbOGOoY2MweVsxiEXA3R5zJr04EM816njFn92OmjErBlSyrgJ0lqFAnRxu8up3zlTQEC/+vNhXPvxnkWDri+4cO3jZfjl6Fb8Y9fBggJ6WsxaAQBdhDQRytOc3JcI6Eq4FWFcrWV9qYCu1mquloGeD6CrPUTI5R6/LEC/nAXQs+Sg5wXoshz0m1cci9+LBz2qgH5l4/JNfA19kGRcm9baMgB9nS09gB7kezVzrAulmTIBA8WJVG564fcvRqtFuRGcCBQ2AivKjcBDWjHvF1BOuzBTxgzJCtV50EAH4SZRtJExdJIphPg+PFo/L2WYj3vzj2VTageZQYB242iJAA9pRZDvxdlQQtp/vjFrSokt8aVcO0Y8LB5tysdGB0J8Hx6uXUALN4wpX/6fTRMdgoe0YrZMgJ92opebRzsZh5drwydqYmigg4ingD5CB/CVO0bgo9vzOjeVtAf7+bgUs3Y2lICPbk+LWXt+0ziq+X6pfX+0xAByQ7lk3ARprZUA9IdqF3A2lMClOvbzQgD6uz/Zi/d+8GFWSX+lEbe+XIGbf27HfyVq8fruD+PvPzS4fEB/evUBXQ7pKwHo8jl0+TZ5Afr8xrTKubylfTmAnjXeTfFgQHp9RYt7TkC/4lhVQL/xCJEMBJWA/r/HN2ELd2wN/HtoaO3IuDattWUA+jpbegB9sRV6Zf9BKLJV4OU7jsDlbC5YbrpcVosXFosHu7gFHCxO4MrGOVBHBEW2iryALZdEczMv14avbz+MFm4YJwNJeEgrymmXFFu21P2bzRTFzkbJaM5NooiVLzqM7+fj8NNOFDsbU3FjviU9LGBxZ35mFpeKWftMyyQGihM4G0pIOfBirFgp1y5V+vWeJzE2rdjZCIvFA0dRCAdlpnJbuGM4VZXEmJdV/Z32MGxWPzykVYpQE03s1F7DZvXBYnbBaQ+z6DmzC16uDcXORlyojuHJxmm8uOUozofjkknc37R9BPX0ACppDxxFIXSQSclUTh6zJr6GaCbnIa2wmF2wWf3gHHWw26pwT2XSMIkzlEXGTZDWWglAf7h2QYpiLDSgv/8vd+L6q1tx41vNrOX9Cy7cfMyOqx8L4BdH7sB/zkUKD+hqMWtyk7g8AV0O53JIl89xK3PElwro8kq6EtaVM+mFAHQlqIvHrmxzzwfQlSZxqjPoChf3vCroP/jw0mPW8gD0fxv80Br4t9DQ2pJxbVprywD0dbb0tribzVTKfV5pRegAdpK5VWkJFivSl1Pzw6wavTKvtZePY8onoJNMSZXeQVeiYOZzco17Bewkc1Is2ymZqdlePo4g36vS/p2/9vNxBGg3WrhhHHazSvI9lSwerZrvx8HiBNrJOGLlAqr5/mXF7B1ysf0HaDf283HsoTHMlDEju3LahfPhOML8bhxJxdyV0y48VLuQ98MXi9mFU1VJxFLz41+5g6UEyGPWnmqcRpDvxV4+jpkyAaMlrJVfjFljRoUr/3fF0O+6jJsgrbVSLe4PhOPSzx8Ix/Fg9QoA+jfrcOvlShaf9gyDaNGg7YMA6EqDONX58wIAurhNBiyLpnQpQFczhdML6GoO7lq563JAV2ahi4AuxqxlBfRsM+j5VNDfuk8XoIsz6HIX93fP+KXP3AB0Q5kyrk1rbRmAvs6W/hl0O4psFav6D8SgK4H7Qwk8v2kcNqt/WS7nueQoCsFpDyNAuzHlE/A3bR/BHhrDFu6YVBFfbhu5XGaTA24ShY9uh592YqKUgd/ftH1Easm2Wf0wmymoIwKzmSwrRq7Y2Qib1YdiZyO8XBuKbBU4HUxKFfdTVUl0kWl8NsrOtcXiSVWrfSiyVUjz2npfr8hWAUdRCD66HdQRQYjvk5z7n9s0gV5uHqeDSWmm/POb75Yq1VaLl1WlU0ZtYixbtvNvNjnQQAdht1XBTzvhIa2wWf1o4YZBHRGcD8dxfyiBz2++GzNlLGv9weo4nmycxgutx6Tquo9ul6LlxMq4j27PMHgr5dqlLokg3yu174sxa010CEKFIFXQv9o+nFZ1N2SIybgJ0lorCegXU6Zx58PxtD8rOKCLZl1P2nHjslMy6BLB7cYjZDFqrcCArgrpIqCnIH05gK4Ft2qmawUFdBkcq4FyRtRaHoCec/ZcI2pN3uK+JED/tEMXoL/7/qWsLe65AF3u4m4AuqHsMq5Na20ZgC5bX/3qV2/3Iaz4ytckjlUjVz86qotMS07hqzMrJWZdEwgVrEI65mUQ7eXaCp7lrnxdk8mKI242q/14ZBZBvheDLjaj7yGtOFoioNjZiAY6WPBjCNBubCMTuD+UQD+NYaJ0cQb9kIvlr+8gMyinXRgtSS45xk1Nx32s8v9gdRybuVFE6AAmSgXs5+M4nDofHtKKMa+AAO1GD5lFhA6k8smX/rrJCgGbuVH8P3t2opNMpcWsvb77w2iiQ+inMQwUJ3DEnUQnmZI6EvbzcfRxC+ggk7pi3AwZWtTSboLW07VpJQH9Yur3L9UtSPtcaUB/51QlfjXZgh/8QQ9+uLcbvzhyB4P1y85FYFtBQJdX0a/eV7GoAgK6vNKtNnuuNY+uNneeE9BlFXU5oKtBuvLY07oAtNzc9QB6KmtdDuhX76vQl4OeRwV9uYB+/ZPF7CGRDNCvfiyAnx3qWAP/FhpaWzIAfa0tA9Bly+FwQBAEXL9+/XYfyoqtfAGdVQFZ1NXt+EfjsDuJar4fj0dY5BkDZXtBIVFLW7hj0gy5UMFa1c+GWIt6hA5g3s/M2hajxQp/DLV0HzhHHXaSOTjtYVTSHpwOJjFbJmDcK0iu7FIMWSribDkz73J1kWn4aacUs7aTzKGW7pMenuwkc3gy5eK+jUzgnspkyuGdYDF6TR5fpv+71MINo5RrB+eoQy83DzeJooUbRoB2w8u14Ytbj6KNjOF0MImJUgHPNB3HXp6B/plgEvdUMuf1RSd+InUGiMciOrwrX9tidqGdjKOTTKE79VCg2NmICB3ANjIhPUwI8r2qMWsvtB4DdURuy98ZQ2tZS7sJWk/XppUG9AvVLCP9sY1zq1JBF025/tfOPXh+0ziebZnE67s/jF9NtuCdU5W4fpFfNBATK+taLu4FAnR5NTWbi/tKALry52qgrgbJywV0cf48A9CztOsvB9B1x6xpAfpb96UDujIHXQ3Qn7ZLgH7jEZIG6Nc+XmYAuqEsMgB9rS0D0GXru9/9LhoaGtDS0oLXXntNdZv/+I//wIEDB1b5yAq3lhKz5nI2r9o8upbEaK+HaxewjUxgLx/HFu4Y/LQTdlvVKhzDImyKwLeLW5BMzSZKBZRy7ejjFkDsNVIe+UpkYZvNNCPS63w4jjEvm5mO0AE82zIJL9eGctqFenoA1BHBDjIjmbtF6MAyjsEmxayJEWPi+amkPeinMZwMJLGNTKCFG8ZTjawb4mQgiR4yi8OpTHGXsxkROgA/7UQHmYTL2Sxljev6TkixbFSKZZPH4pnNFJfqFjBRKmALdwz3hxJ4tH4ez6Zy0LeRCbxxdxSdZApdZBrbyATcJIqJUkGKWdtGJtBFpqVzKI9Zk58LZcwaOzajim5IqaXdBK2na9NqAPpDtQt4PDKLh2tZJf3vPzSIG99qXhVA/0zLJL79e/vx8+F2vDm/EVc/FsC1cz68f8G16Pb9uD1dj60OoIvgKQd0uQoF6Mq2dzVA18pZV4ta02px1wPo4my71my90hxOnD9fDUBPm0FPfRffeWMiE9A1ctDVZtANQDekLgPQ19oyAF2x3nvvPczMzMDpdOLSpUvSz//7v/8bP/jBD3D8+HGUlZXdxiNc3lpqDnqEDmRp57092svH0UAHpWitJjqEgeLb55xdZKvAbJkgtcR3kimcCAjYxS0gxPfhkCspGY+txvHYrH400SF0kWn46HYcLRHgcjajlu7Dfj6OgWIWDRbmd6OdjONMMIld3EJBYtyySTyectolVacPu5MI0G746HbsIDPYy7MZ8g7Cstsf2ziHzdwo5v0C+rgFhPndBYs1M5spRkuSGHQlEOR7caluQYpZO+RKYrQkKR2z2EUhVAgYS3UwfLp5SjoesavhiQaWL3+7/44YWmta+k3Qerk2rTagX9k4h2//3n689/278N7Nx28roIuO3zceTYH6FccinN8GQFfmjCsd3NVgetUBPYtJnPIBQ9YKej6ALp9BF7PFRUBPxay9/6Bn8TNdygz6SgB6arTBAHRDmTIAfa0tA9BV1m9+8xvE43FYLBa0t7ejra0NTqcTZrMZ1dXV+NSnPnW7D3HJa6mAbjG74CgKoYUbXqWKtX457WFYzC5YzC4EaDca6CB2cQvYzI0ixPchxPfBaQ8XNFpNrxxFIcn8TTRScxSF0kzimugQkhUC5v0COEcdqvl+2Kw+uJzN8JBWeLm2FTg2G4psFbDbqmA2U1gtXilmzVEUQpQbwRe3HkWEDqTFrL245ShauGH0cQtpMWvivoJ8L4i9Bl6uDXZblRSRlu/xidFlYiyby9mcZmRnNlMccrEq+APhOOb9Aj6/+W4MFCfQRsbwYHUcZ1MmcbNlAmrpPmzmRuG0hxHke+Gj22G3VaGDTErvQS1mTe3YOEcdnPawFEfnJlGYzRR2W5X0MxYbuHIPOQz9rmp5N0Hr4dp0OwD9O9378P5rO/D+rSfVAf23idsP6Kn/vnF5jQG6DGy1XNG1ZtELCuiK41bCuRSxJpeKQZyyO+C2AbpyBr2AgG6YxBnKlAHoa20ZgC5bTzzxBAKBACwWCyil6OjowIc+9CGYzWYkEgm89dZbt/sQl72WCuhyNdGhgkR2rY7skrP2aEkSbWQMlbQHF6pjiNABHC1ZnWq2XhU7G3E2lICPbkcvN4+DxQkcciWxg8xIFdxDriT20Bh6uXn46HacqkrelmqtPGYtxPehlu6DUCGgjYxh0JVALd2HIN+Lk4EkGuggDhYnJLdzeSxbGxlDrJxBdIB2r8ix2qx+PNN0HC3cMIQKASMe5mj/lTtGEOVGNGPW5v0CTgQEKaquPxX1Jo9Ze7A6jnLahT00Jv0syo3c9u+SobWopd0Eradr05oD9Lfuw9tvnsA7b0ysaUB//4JLAnQxZk1ycE8BughpKw3oSkiXu7UrDeHUnNy1csmVgJ4Ws7ZMQNd6TWXMnFrM2tWPBfIzicsF6L+e1w/oX9uQDujyHHTZDLrcwd8AdEOZMgB9rS0D0GXL5/Nhfn4eP/rRj/A///M/0s8vX74Mp9OJyclJXLt27TYe4fJXIQDdZLLBbqvCFu4YLBbPisxZr5SoI4IiWwWa6JAUszZRKuClraPYQ2PoIJN4sDqOIltFWgW32NlYMOO1pcjlbJZi0/y0E16uDW4Shc3qQy3dh2JnIyZKBSQrBDTRIbzQegy1dB+OuJM4GWBO+KKZnNXilSr7UqSaImatkMdutXil2XenPYwwv1uquJdy7RmxbM9vGkcvNy+13Ldww3hp6yh2kBmc28BM+hroIL7RMYQ2Mia9F/HzErs97LYqqSvAYnbBQ1phsXhA7DVSzJqjKJT12EN8H6r5/qwxa010CDarH16uTfrZvVVJI2bNkIqWdhO0nq5NaxXQ3/7VtGoV/cZ3WnHzHzamVzKfWmOAnspBl6qo91WkwflaAPRsbfBKs7iMLPQcOeirAugfC6QD+gUX+2wu8vnPoK8goBsxa4bUZQD6WlsGoMvW0NAQfvWrX6n+2euvv45oNIq6ujr80z/90yofWeFWYQB9UWLLcJDvXVIr89pRuqHXaEkSD9UuoJebRz09gM+0TKKNjKGXm0cLNwwPacVMmQAf3Y5uMost3LFUdvftfh/aOuRKIsj3ojvlwD7oSuBoiSDNoN8fSmAPjWHKJ0gz624SzYhZ85BWBPleqSLOnPVX2hBNbf/MoC1ZIeCwO4nL9fPYSebQQAelkYHL9fMS0H+z4xA6yCQuVMcQL2cxay/fcQQhvg9H3EkMFCeQrBDQRaYRoN2qMWsnAuzc7CRz6CRT8JBWNNGh2/7ZGvpd0dJugtbTtWlNA/obE7j6i4/g6s8G8e5P9uLaD/vw/ms7cP17Hbjx7U2skv6SnzlqP2nHjUcIrp3z4T/nIvjeh3evaUBXRqypAa5qTJmOFveVBHSlg7uyDV3+M8kQTnbcai3u2Vzc5a31ugH9cgEAXR6z9tOD6YAuurh/WhvQjRx0Q9llAPpaWwag57GuX7+Oj370o7Db7bf7UJa8Cg3oorxcGzhHHdrJONwkmmpVtuGD5mS9mRtFkO8F56hDP42h2NkotfxfqI5hD2WGdbFyBogPVjMztlq6DxOlguT0nR6HZlOJSLu95406Iujl5kHsNSinXWkxa5yjTsoED/K9aKCDaOGGsY1M4M8is+inMQgVQpqLezeZxYmAgG4yiycaZhDlRtBOxiFUCOinsdS8t3Ysm+gUL8XJpbbJ/Fl+77OW7kMp145uMotOMoWB4gQa6CA8pFU1Zu2QKwmXsxlRjrXBc446PBCOI0IHMFtmxKwZyqWVuQn6IF2bREC/8jsC6O99/y7W7v7ddgbprzTi5jdqcOvLFbj1gge3/pLB2dX7KvCryRb8fLgdPx9uxxt3R/FmrA7vnKrEtY+XsZbo3zVAVzFW08o71/r5mgd0BaRL5+bEBsnB/Z1TlexBy8fLFmfQL7gyWtxvPZkfoKeZxBUQ0A2TOEOZMgB9rS0D0Jewvv71r9/uQ1jyWilAXxQDqiY6JMEra89mrcCrkV9+uySPYJNAXPGzeyqTOB1kzuC1dB8+v/luCe6mfGwO+/lN4yinXQjxfainB9BAB1FJe6SW/CY6hGq+XzK/E+PTgnzvbXz/DJbFqDM5QMt/poxlE+H6nkpm+BblRvCppuPoIbM4VZVELzePBjqIz2++Gx1kEvdWscr/p5unsIPMoI2M4UwqB/3TzVPw005QRwQt3DAa6CB2kBmE+D5QRwSHXEl4uTZ0kEnpeznlW3TdF+P7InRANWaNZaarfO6Kz9yIWTOkrZW9CfogXJseqZuQ4Prx3zVA/04rA/Rv1jFw+nIFg6cvuBZn0x914v0LLly9rwJvfTSM38404D+ObsEvjtyBN45txlsnNuC9B7wMvFNwl6a1BugKmFUDcSV0yyvqv5luzA3mivnzjHZznW3uaoCekbm+FEBPVdGXBOgvV+LmN+sWAf0ne9Vd3LMB+oteBugqLe7KmDWjgm5IXQagr7VlAPo6WysP6JkK0G447WH0cvNookOYKBXwlTtGcDaUwKW6hSVVPj/oslg8aCNj2EFm0ENmEeVG4HI2o4kOoZebRwdhLfduEsWYl8WnbeGOSbFpl+vnEaDd2MUtYLaMmaKJMWI7yAxOBATVmLU9NHbb3/tyFKED8NHt6OMW0ENmcbSEmdb56HacDSUQ4vtw2M3AP0C7cbl+XopIO+RK4kRAwA4yoxqzFuR78cWtR6UOCTFm7TMtkxkxa3/2/7N37tFNnGf+t2RZ0jvvSBay8F3IN+QbvmCMjWMwMsYXfMGuMcYxNr5gyxddSknIJiRhoRyyUAoLh0O2OWmz5LJJs6VJ022atGnCadKchJOmJN2QbBJIskBIkzYpYK7J/vr9/TGa8UiWbEk2WMHznvMcQB7NvBoNnvczz/N8v2arZLMmhZeQFkG+xowA9Ac5eLr6Lxpcumc2zn3XhLMduXh1SQMeze7Bw9k9OLq0Fp+uzcffHcm4cHsiB3zbZo0CnwvcBTifoYDOH3s8qzWvInGe+/SY93iA7ilONy6gexGJuy6A7qniLgb0nSwH6K7vnwf0E00lIfC7UIrQCuneFGpDAvQbNH7/+9+jvr4ecXFxCAsLw9NPP+3285GREdhsNiQkJECtViMjIwP333+/2zZXr16F3W5HVFQUGIZBQ0MDTp8+HdA8pgPQxcELc/El8Rp1BizEivUGJ96rK8OWOZw1FlWZwahSkcu0I5LkCFnQXKYdqgijVD7sI3jbNI06AzIZFWzTlIoEQRBOEW4AUSb7tFnblMCp3T+VvxZpdCUaWBs2JzrG2Kw9kNGHtbOcuMO1fQnpxcPZPWjU2HFnIte3/WTuOuGhgp4pEDL9/LH56yCeWoQ58pUBvKicIjwaSWytV1G5CEUsDLQIWnUWTGw1GFUqIhSxSKfNQsWBVp0lbDeZcysLU0HPFEAu00o2a1IEGaG3CAq1e9NMBvRDWb34w+KV+KS1EH8bMOPvjmSM3BUr9DWPAfVx4Jy3WRsX0EVwPkYozgegu5W1f9sBXbRvT7G48bzQ+XPkWeI+kYr7GEB/Ss+VuIsBfQKbtYAAnc+gS4AuxYQRevemmT4kQL9B49e//jXuvvtu/PznP4e3RVBfXx9SU1Nx5MgRfPzxx3jggQcQHh6OX/ziF8I2g4ODSEhIwAsvvIA//elPKC8vR15eHv7v//7P73lMN6D7G/lMBwpJF36cuR41dBi3xXPA91DmephpE0pIL4ZjuJ7m3SlDyKQtyGZasT3JhlLSh049p2ZuZCtxWzxnqcWJmU3/Z5upsUrrQCZtwYY4zmYthdajSWNHIemCI5bzhU9kKwRbPN7GLY6W4V6jHWl0pSDYtimBE35LYmvRpnOgkhnCpgQHCkkXjGwl9qYNIodpg3W2E5XMEExsNX6cuR6ZtAW2GCfWRHItBk/P5x44bIxzYDDaid0pQ2jUcMfq9WKzti9tUBCV4y3VdiQNCzZrfFXCYtI/oUK8FDMxQm8RFGr3JgnQrzOguwTNLmyKF0TOvFqtidTbeTAd03seJKCLXxf3oHv1Q/cC6OLjj1fiHpKA/pCKA/SfanwD+jgq7v4CuqcPOg/oks2aFN4j9O5NM31IgO4xXn75ZaxduxaLFi3CmTNnAACPPPIIXnnllSk7hrdFUHZ2Nr7//e+7vVZQUIB77rkHAHDu3DlERETgpz/9qfDzTz/9FHK5HM8//7zfx/62ALo/YWQrBcEutdIEokwWet/jaBmIMhlKRQJSaD1UEUZo1VlIYmux3sDBO+9/vTrSgUeze1DBDKKAdOJeox2D0U48nN2DJo0duUw7XixehTJixfYkG9bO4t7/YvEq5DBtUCoSoAiPBlEmC7ZsEYpYRChiBesymYyCqsxCplURHg2ZjAivRShiXa/x2xHBBo3b3uB6T9D1dwAAIABJREFUzSBkmvl9MKpUt+1lMip6bXT76f6+pjsYVSqIMhkmthrRtASqCCMWk34QZbLQ05/DtCGKKYQqwoh4ahljs5bLtEOpSEA0LfFqs2agRYihpdCqs6TWDSm8RPCLoJlyb5IA/dsJ6N6y4J7g7UsIzlu4wbKX43oKxXmzhfNZAeBF4M4rnPtScPchEndxc7T/Je7TCOiSSJwUY0MC9FAbEqCLxuHDh0EIQV9fH1QqFU6ePAkAOHjwIFasWDFlx/G2CBoYGEBhYSHOnDmDf/zjH3jppZfAsqyw+HrxxRcRFhaGr776yu19ubm52LJli9/HvpkA/caGb5uvwWjO5mt7kg0WYkUKrUeXnutR3pTAeXkb2Uo8kNEHM23CeoMTjRquH/x+sxUmthprZ3H7MLKVODB3AIlsBZq1dnRHOWGd7UQDa0M8taCGDmM4xilsn8hWYL9rez57m8TWYv/cgTHb5zMdwkOKSmYIuUw7FpJuRJIcoec6nTajlPQhiinE2llcb3sKrUcZsY5rsxbFFCKGlmKVlstMl5I+xNBStOlGt19M+pHIVmB1pEPYnhdga9LYBW/xNZGjdnBGthI6kodOvRNxtAwWYkU6bUabzoF4akE0LUE5GUAB6USbjquUMNAi2GKcMLKVqGNtyGc6YKBFuDORO7/NWjvKyQBiaCl2pQxN2mbNOtsJHcnDQtKNxaQfFQyXvVeER4fAdStFaEVwi6CZdG+SAF0CdH8BfTwg9ykS58ULXfwZ/AX08xuNY2zWhO9JBOjXfkg4QD8oAvRDqoBs1i5d3e8b0H2IxEmALkVgIQF6qA0J0EUjPz8fDz/8MACAZVlhEXTs2DHExMRM2XG8LYKuXbuGdevWISwsDAqFAkqlEo888ojw8//4j//waqFTWVkJq9Xq81hXr17F+fPnhTh9+jQkQJ+ZYWKroVaaEE1LkM90wMRWI42uBKNKFdTN46kF6bQZGnUGysmA3zZrGnUGIkkOFpN+RNMSpNNmRJIcWIhV2H86bYaeKcBi0i9sn06bEUNLUUJ6EUlyQFVmlBEr9EwBMmkLophCMKpUVDCD0JE8ZDOtAqjrSJ5QQZHE1sLieoigUWegUWNHFFOIhaQbJrYaGnUG2nTcg4FS0occpg2RJAfW2c5J26zVsTYwqlSk0ZXIpC3IZdphZCt9qr5LMZMjuEXQTLo3iQH9wNwBbE+SAF0CdAnQJUCX4vqGBOihNiRAFw1CCD7++GMA7ougkydPQqVSTdlxvC2Cdu/eDbPZjF/+8pd4++23ceDAAbAsixdeeAGA70XQ8uXLMTAw4PNY//zP/wwOyD1DAnQppJBCihsbwS2CZtK9iQd0Hp5vCkA/rOMA6idKfH1QiWs/JLi8bRZG/ikOfxsw4726Mhwp+Q5eLF6FP1cvw5n2+fhrfzq+HJyLc981CRAtwPq2WbiyXTcm3OBcDOguQBNE4lyA7q9IHA+nvgBXDLbjgbe/gO61H9zDYk0My77+Pm6J+0ThIYY3xtZtwxy3BxwBlbgHCOjjlrhPYLMmqPmLROKkHnQpxoYE6KE2JEAXjZSUFGHRIV4EPfzww8jMzJyy43gugi5fvoyIiAj86le/cttu/fr1qK6uBhB8GaGUQZfiegVRJqOWDqM7ygkzbUIO0yaU+fcanMhh2rA7hRNoW0i6sd7gxELSjZ3Jw0ijK5HNtKLX4EQ5GcBWkw05TBvS6ErsShnCQtKN/tlOFJMeoWQ/l2kXRN92pwyhgHQik7ZgOMaJVVoHdqdw1mpm2oQncrjs9+ZEzj4tnTbjt0WrsZB0Y3uSDcMx3PzeqlyOYtKDXSncQv7J3HXojuLaAe5IcGCryYZdKUPo0nOf8en5a4Vj8pZqh7J6BZu1XoMTjlhOVE6yWZNibAS3CJpJ96YbBegH5g5gd8oQ7jdb8XZVBS4fXzZpQL96dD6uvTrPHdKfSxwL6o+oOVgXZTuvbNfh4uZonN9oxJeDc/FZ1zycbF6El0sb8YfFK/Hmsmq8V1eGz7rmcX7cG+ZwGdG7YgVxMh4OxcEDuljB3Reke8I5nz0XA7qnirpnptszay5WbPem1O4rwz4mq+2l71wM6uLwZQ/nFdB9qdJ7vu6ZufcQihOLxF3aYpgcoAei4v6bOdx+xgH0y1v1bj7okoq7FGNDAvRQGxKgi8auXbuQlZWF119/HRqNBq+88goee+wxzJ49GwcOHJiy43gugvjeu1//+tdu21mtVlRWVgIYFeJ58sknhZ+fPXt2RovEhW4ooSN50JE8xNBSUJUZinADUmg9IhSx0DMF0KgzoAg3IImthSLcgEiSg0iS4/aaVp0FPVMgWIvpmQK06ThodMQ60T+bUz7/WW4nUmi9AIeZtAWH8zqQQuuxJtKBLXPscIq2b2A56FxvcMLp2r6ccAvdNp1DsFl7Zn47zLQJTRq7YLN2OK9DsFnbarIJNm5ymRZyuU74rKoII+RynWD3Fi7XQxVhRLhcD6oyC9urIoxQhBvAqFIhl+sgl2lBVWa37XnbOPH2/L95y7MIRaxwTuUyLXQkT7COi1DEQi7TIoopFI6vVpogl+sQQ0sRLtdDo84Ao0qFjuQJcyfKZDCqVFCVWbBPm8hmTRVhFKzhJJs1KcZGcIugmXRv8gT0HUnD2Of6tyeg73cB+oG5A14BfbfrwduOpGEB0vekDmFXCgfre9MGcSirF2fa5+PS+zX4+v8dCh7Q3ywWAP3aK1kCpH/9QjIH6c/G45tnorls5081XMn7IRVX9u7Kql/ZocXFzdH4yp6Csx25eLd2KR6b143H53XhucJWvF5Wh1NrFuCLvgzBJ50HQ7GCuATo1wfQ+X2MC+hTkUGfYkAXvn8pgy6Fz5AAPdSGBOgeY/PmzSCEQCaTQSaTQa1WC2q1kxkjIyM4duwYjh07hrCwMOzduxfHjh3D//7v/wIAli5diuzsbBw5cgQfffQR/v3f/x1qtdrNb3ZwcBCJiYn43e9+hz/96U9YtmzZTWuzFgrRqLEjh2lDDC3F3UY7Umg9VrsEw6JpCbaabDCylVildaCCGcRwDJd5jaNlaGBtqGNt6DU4he23zLELYm4WYkU0LcG9Rk4crZYOo4oZQjQtwd1GOwy0CBXMIBo1dqzScnAsKbEHH4pwAx7M6Ju0zdr+uQMwsdVYE+lAg8tmbXuSTbBZa5Rs1qQYN4JfBM2Ue5M3QN/rBdDvS+YAff/cAeHnu1K46hoexnenDGHLHDu2J9mETPyBuQPYmTyMOxMd2Jc2iMfmdePz3iyMfNQsAfq3BNC9AbkvizXxnMeU6Hspbfdlteb2gIA/R3yZuwjQ3bQCdrLXv8T9ucSxgH5A6Q7oHu0NUg+6FGNDAvRQGxKgexmXLl3CG2+8gaNHj2JkZGRK9nnkyBF467fr6uoCAHz22Wfo7u5GfHw81Go10tPTsWfPHvzjH/8Q9nHlyhXY7Xbo9XoQQlBfX49Tp04FNI+bHdB5uzG10oRwuR5ymRZadRbC5XqolSY0a+34ZcGtWEi6UUx6sDGOg+suPZddjqcWrNJy1muZtAVEmQxFeDTMtAmqCCOiaYkrUxuNdNoMpSIBBlqESJIDI1sJRpV604qD8dltmYwKGWbexk0u00Iu0wpWc/xrnN0bt71SkQC5XOf22h0JnHr6gxl9KCG9yGXa8fi8LlQyQ7jXaEcVw3ncPz1/LRaTfmyZY8fqSAd+ltuJcjKAhaQb20w2WGc78UROF5o0dhSQTrxeVocaypXA9s92IoXWo4B0SjZrUkxzTG4RNBPuTb4Anc96iyF8X9qgAOi7RIAu3mbLHDu2mmzYZrIJGfedycO4I0EC9CkH9MG5PgHd8zU+vHmfewNk/jVvkC7OaPsCdEHkbgKROH4u3uYxBtBdYnG8PkDIALqvDLoE6FL4DAnQQ21IgD7Dxs0E6Ku0DuQwbXDGcpZaJrYamxM54Nsyh8tS5zLteCKnCxZixR0JDtd7vVmm3fwhtlmrEtms8TZovM0abykmtllbTPqRz3TgwNwBJLG1KCY92GoarRLge9DvSx6GhVjRP9uJXKYd+9IGkcTWuvWU70wehpk2IZtpDWD+gX5nU/UdK9CosXu1WSsmPWNs1njrte4op2SzJoWXkBZBvsZkAJ0va98tAXrggC6CdAFyRbArBmKfKuiuv48nAPe3ATO+6MvA571ZbuGZYRfA2OM40w7ofmbQL20x+AT0r//NN6BfPTp/cj7oIkC/tk8tADqv4i5W8JdK3KUYG9K9KdTGjAf0733ve37HzTC+DYAuk1HIwlSQhakgl+sgC1PhwYw+NGnseKtyOUpJH5q1dpSSPsHXOoophIEWoZj0TPv8JxcKyGVa8B7rMhnhIkzl/lqYShApezi7RxAp4/vMH8pcDxNbjUaNHcMxTmQzrVhvcLrZrBnZSjebtYWkG/HUIliKVTCDbjZr1/+zKxEWpnRlnpWQyYjrNf6cKIXPzm/j+VotHUYu047NiQ7cFu/AQ5nr0aXnHha8VbkcFsIJSt2Z6MBC0o1P1+ajnAzgx5nrsX/uAF5a1AxnLNeWwPeoVjJDftus8a9VMUM3bSWFFJMJ/xdBM/XeFCig700bxM7kYWxzCTrerID+/EJ3QP/KnuIGh0K4Mrl88P/2hHM3QPdmszYBoLv1c3/LAN3tQYMXOPdmt+ap4u5mUechEif0oO9kR23WQgTQpR50KbyHBOihNmY8oFssFr+ivLx8uqc6JSOUAb1Za0cmbcGhrF7U0mHUsTa8Vbkc/bOdkMu0kIWpoAg3ICxM6QLW6Z9zoGGmTcikLYinFqiVJliIVSixNrHViKcWPD6vC0lsLTr1nIjbpgQH1kQ6kMTWYnWkA3cmOmCd7RQAVgB6F8y7veYCeh5mb+Tn1KqzQFVmlJI+6EgezLQJOpKHYtIDqjJDq86CmTYhmpZgIenGQtKNHKYND2Wuh4VYsSmBaz9Ip814MncdSkivUBJ/KKsXi0k/CkgnNidy6umHsnpd1wUH+TIZ5a4b1+cPl+u5hz4yrQD4ivBo4TW5TOsSpSPCPrjz6P0z8g83qpgh4TvkXysnA5DLddN+vUkRauH/Imim3pv8BfRdKUOCUvt9Nxmgn9swB1/0ZeCT1kIcKfkOXl3SgOMrLDjZvAin1izAiaYS/Ll6GY4urcUfy2vwbu1SnFqzAGfX5eBvA2ZOyIwXMON9ur9tgO7Db90T0IVyfC+ALhaT89qLLgJwfn5f9GV49V+fCNAvbIq/boB+6ep+XLi4I3iROL4HXQJ0KXyGBOihNmY8oM+0ESqATlVmbE50YE/qEEpIr6AUXk4GQuAXVfCxmPQLcN0+i1NEr2KGBDE5C7GinHCWYZEkB70GpwCthaQrZPuWPUvWi0kP7jXaUUuH3UrceZu1MmJFHC1DFFOINp0DRrYSFmKFka3EmkgHophCxNBSlLls0VZpHTf8M0WSHLxdVRGQzVqn3om7jZwqfinpg54pwHDM6HfIv7beIJW4S+EtpEWQrxEooO++WQD9J1xv8tcHRJnPnSyu7NAK1msXNsXj3IY5+NuAGafWLMDrZXV4OLsH20w2/Ci9H68uacBHq4pxtiMXf+1PDzlA9+w1H68H3atIm+h4Uw7oorlPFtAFn3oRoPsscf+pxu8edL8B/ZAE6FIEG9K9KdSGBOgzbEwXoMtlWiSyFSggnbgz0YGXFjWDUaVCo85AuFwf4grlCmjVWYIdGlEmQ6POwNPz1yKXacedrgzuAxl9UIQbBMstpSJBEJmTyegN/4wyGQFVmaEjeYhQxMLEVkMRbgBRJiOalkCrznKzWbvfbBUeKhSQTjw9f61gsya2TeMzzYwq1afN2mTmzQv6RTGFgmVZElsLpSIBUUyh67gGpNGViFDEwkCLYJ3txJO569CksaOQdGF7kg13G+14Mncd+mc7UUi68GHjLahkhnAoqxfbTJwCe6A2a0pFAhhVKtRKk9e560geFOHRSKH1rkz8dF+7UoRWSIsgX2NGAfp/ajlAe5xyoP6IGt885B3WL2+b5eaPHiqA7i18Zc/5TLn4597E48SQfkMA3WPuY0rcPfzPPUvqz280urcZTADobiJx1wPQ/bBZk0TipPAe0r0p1IYE6KLhq79v48aN2Lx5Mx566CF8+eWX0z3NSY3pAHS+3NkR6xy3ZDg0QokG1oaFpBsNrA2RJAeqCCMqmEEYaBFq6LCgBj7dc+XnlMu0o1PvRBmxoooZQgwtxaYELktdQnrRwHJ2cHckOGCgRchnOtCld97waoUmDdfC4Ix1IpGtQBJbi0aX6vpwDKe0nshWYGOcA9lMK1ZHciKAcbQMdxs567M1kQ4Ukx7E0FJsT7Ihia1F+6ypz74rwqO92qzVsTb0z+aqI+p82KzF0TJsNdkkmzUpvERwi6CZdG+6aQD9yFwOzn8zhwP0/4rlAP2wbhTQeUh/RO0zm37dAV2k4n5+o9GrXZkn6HoTiBMruI8H6HwJ+2QA3Seke/Sf+/RBn6AX/YYA+kQq7ufuwsjlXT570C//91JceyVrLKAfdAd0byJxEqBLMTYkQA+1IQG6aFgsFmi1WlBKUVBQgPnz54NlWURGRqK4uBg6nQ6zZs3C8ePHp3uqQY8bAehcr3g0FOHRQq/19P/y4UIRbnCzXtuZPIwuPWfRVU4GkM20IoopBFWZEcUUinqSb8TcuEw7Z2U2ahd3W7wDnS4buDadA1vm2OGIdSKS5EARbgCjSkUcLYNWnXXdMrgT2ablMu0oIb04lNWLRo0ddyY63GzT+IcJaqUJJrYaEYpYISNOVWYY2UqoIoyIUMQiiin0a05yuQ5ymRaqCCMU4dGCxR3/Gp/tVoRHQ6POwAcrS90y6KWkD18Ocz3kT+R04YGMPliIFV8OzkU20+rVZk3PFCCRrUAMLfVqsya+zm5kz78U35YIbhE0k+5NEwH67lAF9DcKce21PFx7dR6XPRcD+rPxNx7QXWXY5zbMGaPWzpdn84DJx7kNc9yAVwykUw3oYiD3BHRvoP6VPcWrorqnBZwYyr1B+lQCuqDiLlLTdwP0f9FwgL7Xo8T9EbV3QD++DCMfNU8poEsZdCn8CwnQQ21IgC4a//qv/4rm5ma3C/T8+fNoaWnBvn37cOnSJTQ2NqKqqmoaZzm5cb0B3UCLoFVnoVlrDxGRLCVsMRzc1rE21NBhpNNm/Cy3EwWkc9rmlc20QqvOQqeeA+2FpFvo1T5otiKRrUCz1o5OvfOG9aU3sDZk0hbBUiyalmCV1oEUWo/+2VxftrgH3TqbUzvfnTKE6wGji0k/jGwldCQPa2c5EUfLYCFWpNNmRJIcbE7kMu22GCdWR3J6BuVkAOm0GY5YLvu9N20QqyMdiKYl8G695u9r4YhQxKKY9KCBtaGSGRIs1bzZrG012UKiykKKUIvgFkEz6d7kC9B3hwqgf9IqAPrl48tw5e3Fo9nz1/JGy9tvEKA/kNGHo0trBQG5020FONFUguMrLPhoVTFOtxXgLz3Zo4A8nDpqFSaK6wno4t5uz950X9uKM+xTDuheBOg85xZIFn1SgP5sPL5+MdU9g/6XvgkBfYyK+2OMO6DvVfsEdKkHXYqxIQF6qA0J0EUjPj7eawbinXfeQXx8PADgzTffRFRU1I2e2pSN6wXoinCDYEU1nT7jvNr7ntQhoRy9UWNHDC3FQtJ9A+bA2YLxNnEyGUGjxo4UWo8uvRMb4xy4I8GBRLYCaqUJFcwgGFUqUmj9FM5B4YJ6dxX3XoNT8EDfMsfuZsu2mPSPsVnTqrNQSvpccBvYHMTK8d5s03KZdhSSLjhinailwzgwdwALSbcA3GsiHahkhoSe8wpmEJEkB9lMK+Jomd/njLfsE+zYXOru/FyGY5yCzdretEGUkj6caZ+PYtKD+5KHsX/uAB7M6IMtximcm4WkG7lM+7g2awZaNG3/B6QI5QhuETST7k0hDehnOjHySSsunmjEpfdrbiigX7g9EV8OzsWZ9vk42bwIx1dYcGx5Fd6pKcfJ5kX4YGUp3qpcjucXtuLBjD48mt2D18rq8X7DEny6Nh+f92Zdd0D3BFxP+PYUjPMUiZsKQPdmwybMW1w27wHl/J9jVOUnC+g7WQ7Q96vGisQ9pR8F9FfncYD+Yd24gH7hbLd/gO4jg35hUzxONAV+T5fiZg8J0ENtSIAuGpRSHDlyZMzrR44cAcuyAICTJ09Co9Hc4JlN3bhegM5lo6enpLeQdEHPFMBAi/DSomasnTVqy3b956RADC1FNC2BKsIoZOv7ZzvRP9uJ7Uk2r4A4VcdXhEfDQIuQw7QJfd1ib/RmLeeDnsO0oYT0greo4yFVsBQL0rZOzxSglPQJtmnFpAcGWoQNcU4BuB/M6EMZsWJDnBMWYkUaXYnBaCfEHua8z/noeZq4PD+S5ECjzkAmbYGRrQRRJqOWDoOqzMikLUinzTgwd0BQZb/baMe+tEE8mt2DzS4f9PuSh91s1njrNbHN2qhVm/uDpxRaD6JMRhwtQyHpQgqtF16TbNak8B7BLYJm0r0p5AD9q9tx/q/2GwvoB12AvleNKzu0uLxtFhdb9W6K3Oc2zMFf+9Px6dp8vN+wBG9YVuBwXgf2pA7h4SkGdK8ZaA8P8fEA3RsABwLonrZontlyz/CZOfcA9PHm5wvQxWrubr3+Ls/5S1sMuLxtFq7s0OLqv2hw7YdkFNAfdAH643QMoF95e/H4gP7lBg7QP6wbBfRn47lr6jEG3/xk9Nq5+gMqOAFcumc2B+eutoYPG28Jgd+FUoRWSIAeakMCdNFob29HcnIynnrqKZw+fRpnzpzBU089hZSUFHR0dAAAnnjiCSxYsGCaZxr8mGpAV0UYEUfLpuUXyvYkGxo1dmwz2WBiq2Fiq2/IcXmLtDrWBq06C+m0Wcg6m2nTdTsuUSajihnCYLQTbToHmrV26JkCpNB61NBh5DMdKCY9U+oRryN5sBAr1hs4m7U9qUMwsdVYSLqx3uCEia1G+yxOfC6GlmJ1pANpdOWUHHu9wYliwj1o2Jc2iFymHdbZTlS6bOvuSx5GNC1BBTOIAtIJHcmDI9YJAy1CJTMEC7EGBcndUdxnvSPBgc2JDuQy7XiusBVpdCXWzhprs5bNtKJJY0cJ6RVe65Vs1qTwGsEtgmbSvckboO9JHbqhgH7p6n6MXN6F8xfunR5A/zcOtIRM+l6R/ZpL9GvkrtgpBXReAd1n9tkjU34jAH0MpHuxPPMG6Pxn9AfQvc3dV5m7t4cAnmJ8Uw3oF6/sGb0WxYB+7BbfgL5XPcaqb+Sf4gQRwPcbloTA70IpQiskQA+1IQG6aIyMjKCvrw9KpRJyuRxyuRxKpRL9/f24ePEiAODYsWM4duzYNM80+DGVgF5AOiGX625YjzRVmfGz3E5YiBVrIh2gKjMiFLHX5fhadRbiqQVEmQyiTMYTOV0oIJ2wznZyn9klhDc1MKxEJMkRRN9MbDU06gz0GpxwxjqRzbTiqfy10KgzBOE4pSLBZdsWXDuBnimAUpEAI1sJRbgBqggjcpl2tOkcuC2es1krJj3YMscu/Jy3WZPJKMLler9Vyvlt9UyByzbNACNbCaUiAZsSHGjS2PFgRh9KSR/ymQ5BFM/IVrpE+ihn7ybXuQThRq3svB9TAQMtQhRTCCNbCa06S7BjM7KVeNTVu+lLJG5v2qCbzZpcrkMUUziuzVoMLXX7Do1spWSzJoWXCG4RNJPuTZ6Avj3JJgjEXQ9Af3xeF/42YMbIqVvdAP3CxR03HtAfUnEA94AI1Per3P3RgwR0vg+dh15PCJ4oOz1ZQPcHxHlBOT7EgC6G5YkA3df8x6jDiyD9ugG6rxJ3L4DuWeJ+4eIO/wH9ETUH6K7y9is7tLi8VS9cJ1/ZU/DX/nR81jUPby67MckMKb5NIQF6qA0J0L2MkZERvP3223jrrbcwMjIy3dOZ0jEVgC4LU8HIVt6QXxrRtASVzBA2xHGCZFPbq+0e2UwrTGw1Vkc6UMUMwRHLlUbrSN6UH2sx6YeBFqGE9KJNx1l2VTFDiKYl2JzomFKBsTrWhnhqwcY4h2DLxvfFb4xzIIaWIp02o1lrn/SxGjV25DMdGIzm+t3jqQUb4jiv9WatHdlMq2ADl8TWBn2ccLkeW12VE6sjHahgBhFDS7EzeRhGthLtsxxYHcl5ulcyQ0Kmv3924KJ7cbQMP0rvRzy1oJYOY72Bq2CopcOIoaUoJj3oNThRxXC6B9G0BLfFO8Z5gCDFzI3JLYJmwr3pRgP6EzlduLJdhwtnu/F//3gMV7554MYB+uP0ugD6XtfnesOyAu/WLsUHK0vxhmUFnitsxYvFq/Dmsmq8V1eGj1YVu2XXefCeCkCfKD7vzXID9ckA+kTBz39MNj4IQPem5C62srt0z2wB0MftQfcD0MUZdDeROG8l7o+o8c0Do9lzQbtgUzz+7kjGl4Nz8UVfBs6uy8HRpcHfe6W4WUMC9FAbEqDPsDEVgB4u1193+AiX66EIj8azC9ZAR/ImBXPeQi7TQi7XQa00odfgxDPz20GUyVAqEoISRfP1GSIUsQiX66FWmtCld+K2eK5sWqvOgiLcAI06w29bMW8hC1MJGWpFeDRsMRwMl5MBHJg7gNWRDsEiLImtFWzZAt0/b7Mmk1Ehq3y30Y4qZgiPz+sSMu4GWgRGlRqEbZrCZS9HEaGIhSLcALXShCpmCNlMKzbEOTEc48Q+lyp7PLUgnTYL3xdvL5fNtLoszjz3r4QqwgiiTAZVmbmKAJcdWwwtHWOztpj0Y1/aIA6ardCqs1BAOgWbtXhqQQwthZ4pECzchPPFC+KFqaQedCm8hLQI8jWmA9D3pg3i4eweXPshwfm/2q8/oP/CwEHZYd2UAvrZjlycaCrBh4234L26MhxfYcEHK0vxYeMteKemHEdKvoMHM/qwPcmG+81WvLSoGe/WLg2wyCHnAAAgAElEQVQa0L3FeOrt3srZxwN0z/L28UDZHzj3F9A9w1PF3c1zXdQaEBSgi0XiPH3QPQDdTcX980F3QP+vWO6BzyFu/1d/QHF52yyM3BWLvzuS8UVfBk42L8I7NeV4dUkDfrWgDXvTBkPgd6EUoRXSvSnUhgToHuN3v/sd7rrrLqxfvx49PT1ucTOMqQD0XKb9uvyCIMpkWIgVbToHyogVFmKd8mOk02YYaBG2mWxYSLqxKcHh+tnUKM/zvtsGWgQLsaI7yokyYgVVmafsM1iIFQtJN/KZDsTQUpQRKzbGOSadAec9vcU2a116TuXcOtspKJfvSR1CMekJ6hiJbAUiSQ7adFzmvpT0IY2uhJ4pwIG5AzDTJvQanGhgbdgyJ/DPk0ZXwkCLUE4GUEasiGIKcVs8B/TOWCe2uhbpjlju82yMc+DA3AGPcnTv14IiPBoFpFPYb5vOAY06A0a20k0BnyiToSN5yGc6rsv/Eym+zRH8Imim3JtuBKDvThnCVtf2D2Wux7V9apw/d9fUAvqLqRygP5c45YDOi8Vd2BQveJjzAmDnvmvC3wbM+KxrHj5aVYx3asrxQnELfpTeHxCg+wvmvkTXJgJ0z1J7z8y1L1AONHsuzqC7zdejAsDbZ3GzYvMB6GIVdx7Qx9is7fNis8YDutgH3Qegu5W4n+nE5ePLcPXofO7a+k8tvvkJlzm/vG0Wzm2Ygy/6MnCmfT4+bLwFx5ZX4We5ndidMoQ7Ex2412jHHcK6Rwop+JAAPdSGBOiisXXrVsjlchQVFaGxsRFNTU1ucTOMyQA631s79b8YuIzjc4WtyGZaXWA+dVZtBaQTdawNO5OHEU8t0KgzkM20Tnq/vLp3dxRX3mygRahihhAu17tlVQMNrq+ds0izznbCTJvwqEiVPZtpRQqth4mtDqjPmd+v2PJsOIbb/2LSj3uNdiEzzdusZdIWv79DsSq7TEZRSLrGqLhHMYXCg5hIkoN02owYWjqOoJrLtk60X1mYCkpFAqyzndiU4MA2kw3dUU6k02bsSR2CRp2BHKYNmbQFGnUGVkeOLTcX1OtlRKgMENvB/WpBG7Yn2bAjibPq+8PilYijZUhia5FJW0BVZliIFaoII6KYQqTQelErhPgc36ibqxTfjghuETST7k3XG9D3zx0QfrYjaRgPZa7H1/tV3w5A/wHloM8VvAgYD+y8svuXg3MDAnS+P/0vPdn4rGsePuuah7/0ZAuve8s8Bwro44Vn9t0zux0IoIsV6MV/Fyuwe/NADwbQxQ9HxvSfTwGgX7i4gwsPD/SrbxZz2fNnovHNI2p8fVCJqztZXLpnNr6yp+Dz3iycaZ+PE00lOL7CgtfL6vByaSNeLm3E0aW1+GN5DdpnSZAuhTgkQA+1IQG6aMTGxuKRRx6Z7mlc1xEsoDOqVBHgTd0vhcWkH2XEylmjTWFJcCHpgoEWQc8UYKfISmuy+82kLYihpdCRPDya3YMUWi/AIw9mge5TFqaCia2Gka2EWmnCbfFcf3an3imAJHduFAGJ0snlOsTQUqTQelCVGfca7Uhia1FDh+GM5RTSuWqIUes1f/bLC76l02bomQIsJv3IYdqwkHRjY5wDDawNB81WwV6Ot7ybaP9adRaoyow0uhLx1IJC0oUKZhDptBnDMU6sNzixM3kYTRo7DLTIq6+5JxRHKGLRrLULD2UWkm6UESvuNtpRTHqw1WTDM/Pb8Wh2D/amDaKE9GJDnFMQP+ShPVyud7v2lYoEFJBOAdAzaQsS2QoY2UoY2UrhgcT1uZFK8e2N4BZBM+neJAb0A3MHcF/y8JQB+r60QWHf+9IGvx2AfkAE6XtFwWfUXTZs/gD6jqRh/DhzPV4ubcQ7NeU4vsKCtyqX49UlDXh1SQPesKwQfNXPtM/H2Y7cgAHdE9I9s+E8uIv71v0FdF9CcG7gLAZ0kTK9V0AfJ4PuWd4uVoafEND9zaD/wuAb0L+6HRdGto1eh67s+aX3a3Dt1XncNfUTJS5tMeDz3iycWrMAJ5sX4cPGW/Bh4y34aFUxTrcV4HRbAc60z+e+z3U5QmvBfcnDIfD7UIrQCQnQQ21IgC4aer0eJ06cmO5pXNcRLKBHMYVTnhFs0thxKKt3Sm3BwsLCsSaSUyJPoyunpJ9cLteh1+BEp96JJo0dmbTFbwVzX2EhVkTTEqEMvpj0oIB0IpLkTEoIr32WAya2GoWkCxvjHMikLSglfTDQoqDOhafNWhpdiS1z7DCylbAQK0xsNdbOciKQBzcyGcXuFK63vNfAldAnshW412hHFFMoAH+TJrASd0aVisfndSGdNsMWw/nQx9Ey3JnoQDQtQRUzhGatHV16/8F5dSQnrNc+ywFGlYo0uhKlpA9adRYaWBs06gwksbUoJwPIZdpRQDqn/HqW4maK4BZBM+ne5AnoO6cA0LeZuAqq/XMHsCd1SPj7lAL6G4XXB9AP+oD0AAD91SUNeKG4BS8Ut+D1sjq8U1OON5dV49kFa/DjzPXYkzqEBzP68FpZPf5cvSwgQPdWju6rn9tfQBdvLwZlz77yMZ7kQQK6t8/jCed+A7q3Eve9IkB/SDU+oH9YhwtnOrlrznXtjZy6FZfeq8S11/K46+kBJS7dMxun1izAb4tW48DcATyY0Ycnc9fh1SUNwkOW020F+HRtvlARwT/8+LsjGXtSh0Lg96EUoRMSoIfakABdNO644w58//vfn+5pXNcRDKDLZHTKBa9SaL0goDbZfcVTCyqYQdTQYfwovR9KRcKkHyZEkhzsnzuAZi2ndq6KMLrKpAOvIFCER0Mmo1CER6OSGUKX3umyCiNQhBsCFtzTkTxEKGJhYqsRR8vQwNqwO2UI6w1O12cPzgYtiimEWmnC9iQbCkgnSkjvGJs1XlhtvP0xqlQkshVQKhKgCI+GjuRh7SwnDswdEBTVvdmmcbZx7vvibNm4fUSSHMTRMqyJ5B48OGKd2DLHjj2pnDe8nimAjuRBLtNCrTS55jm2ooHvJVcqEmCgRchmWvHjzPXYlcL11ttinHgipwubEhwuGz/CnVdXFYb4mpXLtKAqMwy0CKoIo0uIj7PC22qyTen/GSluhghuETST7k1TDehbXXC+J5XLmu9K4bafSkC/cuyWqQP0nygFSA8a0IdT8XlvllCuzquif9Y1D5+0FuJEUwn+WF6Dw3kdwkOL8QBd3C8uVlgXl69PJaB77s+Xt/mEgC76u6cdm6/y9kABXbBYuyt2fEDnReLEgH5Yx5Wp/2aOAOlXjt2CS+/XYOSjZoycuhUXTzTi8n8v5eD8N3PwzU+5fZ77rgknmxfhpUXNeGlRM042L8LZdTn4cjiVm9emeK4v3hUXNsW72cHtk4TipHALCdBDbUiALhpOpxM6nQ5lZWWw2+343ve+5xY3wwgG0NVKEyJJzpT8EoinFjRquIzGVOyvjFixf+4ApqL0Podpg4mtxppIB2ro8KSV6ktILyJJDho1dqiVJsRTS9D7KiV9iGIKUUx60KjhMth3JDgCfnBCVWbBZi2JrRVs1jJpC1ZpHchh2gKyleNt0+5w2aY1aewoJF1wxDqRRlcika1AA+vfd53E1grb8zZ0dxvtwkOIGjqM/tn+Z7+bNHYkshU4MHcARrYSayId6I7i5vXYvG4ksbVo0zmwMc4Bf1oTeMu2Nh33WXckcTZrvFWemTbhXtd8r5eQohTf9ghuETST7k1TDejbk2xCP/v+uQNTCuiX3qu8PoD+k+AA/eLm6FEY4+P2RMEH+y892Ti1ZsGEgH6iqQSftBbik9ZCfLSqGB823oKTzYvwSWshTrcV4GxHrlt/urfM93iA7us9vn42HqB7A3FvgH7uuyavgD6m79yHkJw3i7WAAf2g67t9SIVvHmPcldxfSMa1V+fh6pvFuPReJS6eaHSD869fSOaun59qOL/zg9w1wYdwbYivi616XNpicL8ubk/EhU3xEqBL4RESoIfakABdNCwWi88oLy+f7ulNyZgKFfdg46CZU7820KJJ7Ucu00IRbsChrF6XXZkvgbGJg7dZy2HasDtlCEpFAmJoacD74bPkqyM5UFtvcEKjzgjYko6354piCtGpdwq2aXzWPRDxOS77bECEIhY5TBuKSQ+2mWxgVKmIYgqFjO9EDzfC5XoQZbKQPX4ipwuVzBDuNtpBlMlQhEcLVQbjfbdKRYLQ2x2hiEWEIhabEx1o0tiRRlfizkSHYMvG29Bp1VlezvVoxl2pSIBaacJgtBPZTCsGo53Cot5AixChiEU+0yHYsXEPSXgYVwp2frx9XCJbgS49l0HfMseO7Uk2FJIurNI6BCG4GFoKpSIBmbRFKGfnKwx4q7gbYUUoxbcxglsEzaR701QCOv++vS7LxAOhBOhiL/RJAvqV7Tpc3jZrNHjRuLtiJwR0/rw8nN2D18vq8MfyGhxdWovfFq3GQbMVT89fK5RNn2gqwak1C/wCdE/xNzH8BgronplsX/3n/gK6txJ3t373QAF9U7w7oG+bhSs7tLi6kx0L6A96yaL/wsDFM9Hcn/+pxTcPKjFyVyz+NmDGyD/F4do+9ag920813PtdLRG8VoEbpP+LZsy1IIZ0yWpNCveQAD3UhgToM2wECuhc3/Lks9NqpQlEmTwFv0SU2JUyhBoavMCJTEZhi3Eika0Q2awFF2XEinIyIGRr6/zMFnt+pnhqQRpdiSimEIWky9XXHdh+Ymgp1kQ6oCN5SGQrcLfRjho67Oq59l+8Tmyztpj0o4LhxJTymY6A/OijaQn0TAGKSQ8yaQtui3dgIemGia1G+ywHVmkdPjzLR8PIVkJH8lBMelBIuhBJcrDVZBN634djnH5ZxshlWpSQXiwm/dAzBejUcyXx5YRrYzCx1diXNujXw54qZggxtBRGthKdeqdQbl9AOvFARh9SaD1KSR+GYySROCk8Q1oE+RpTDej8e3a5suf3hxKge2bRJwHonorubqru4wD6n6uX4eXSRrxWVo/jKyx4t3Yp3qpcjpdLG3E4rwO7U7iHsE/kdOEPi1f6BHRx2fvnvVn4S0+2UALvFbYnAHSvFmse0OwvoPu0WxPDuajUXSxQ5wboHsf07D/3Ceh8Bv2HZBTSD3jJfO9T4+pOFpe36nHuuyacXZeDE00leK+uDCebF+HC7Ykc2P/CwF1Lz8aPwvxhHXcNHeKuHUH5/4dktLpCnEV32fFJgC6Fe0j3plAbEqB7GcePH8dzzz2HZ555Rohf/vKX0z2tKRmBAjqXwZwcoOczHULGNNh9yGQUTRo7Skhv0B7cMhlFs9YOM21Co8YeUCn36D6IW5Y8m2lFDtMW4H4427AIRSzSaTNymXZEMYWIoaUBCIwpIJNRRDGFqGKG4Ix1IpLkoIxYwahSoWcK/NgHZ42WQuuxmPRjQ5wTFmLF6kiHXzZrvHI6PxdZmAob4pyoY21IYmtxr9EOqjLDTJuQyFZ4LccXK+DzPd6OWCfWRDqEfTCqVJhpE1JoPYgyGXG0bMy54BT6uX1EKGKxMc6BwWjOQm6V1oEdScNIp82CRVoFM+gxH16pXSmow9exNvy5ehkWkm6siXTgZ7mdGIx2Ip/pQCTJQRRTiApmUNS6wFvNjdq1XZ8bqRTf3pjcImgm3JumAtD5bfne85ABdB6qpgrQRbZr/gA634d+tiPXzUrt07X5+GhVsQDt4wH6J62FOLVmAU63FQgl8Lxi+NmO3Amz694A3ZtAnM/wA9B9lcL7A+hjetBd27gdzwege5a5X96qF6oarmzXjUK7Z7i+R/57u7xtFr4+4Mq0P6XH1aPzcfHDOox81IyLH9bh8n8vxdWj8zmrtecSuevpMYbb/gHuWrn6AzpGn4C/Fs591ySJxEnhERKgh9qQAF00Tp48idzcXMhkMsjlcshkMuHvcrl8uqc3JeNGlrjLZMSVNQ/ceowPtdIEE1uNH2euFwFh4PtJoytxv2D9FdgDB1mYCmbaBDNtwvYkm2AfFpAHuYwgnlqQyFYgnlqwZY7d9cBC6fdnymZaYaBFghf3Q5nrufLsMJXfc1lIumGgRTDTJiwk3chmWuGMdbp5jI9/fhSCDdqWOXaUkwHBp72QdIn24f386EgeiDJZsJW7M9EhAH2XnsuIcyXn3m3TwsK4zDx/XaTRlUih9XhmPqcw36l3YnOiA+Fy/eg+PCzeiDIZMbQUVcyQoHJfwQzidFuBYLP2cHaPIOIn+KXLdcJ8qMoMPVOAMmJFHC1DJm1BMelBPtOBh7N7UMEM4rZ4yWdWCs8IbhE0k+5NUwHo97k8zkMC0H8zZxTSJwPoPKQHCuiukubzG40cnG2Y4warf+1Px9mOXJ+AfjivA39YvBJvVS7Hm8uq8dui1XhmfjueX9gqvP7BylJ80lqIT9fmewV0T1jnM+/ePNKDAXRfmfNgAF2YgxdAFwTpXOfRWy+6t4w6b73Gg7pb2fldsVy/+g8oJyL3Uw2+PjIXl48vw8gnrZzl2l/tOP/5IC6c7cbIJ6249F4lrr5ROBbQXRl0PiPPH4u/Ds5vNAqfY1eKBOhSiEMC9FAbEqCLRn19PRobG/HFF1+AZVm8++67eOWVV1BUVISXX355uqc3JeNGArpcrvMzk+srFHgydx0Wku6g3m8hVuQy7bgt3oHFpD+oXvUKZhAmthplxIpS0ue3VzgfOpKHfWmDiKYlyGHakM90IJCHDGUuO7Y0uhKVzBDS6EpXBYH/Dxk69ZwwGi8Ex2fM/X1/ORnA9iQbcpl24b05TNuE5elcKNGld6KWDiOeWrA5kSvBX0i6UUA6/fKmH4x2okvvxOpIB4xsJe422hFJcrCQdGMx6fer6mA4xok2nQNWl/Ua761eTgbQPmt8kbgkthZ1rA33Gu2oZIbwaHYP4mgZTGw1ulwl7hWMVC4ohT8R3CJoJt2bpgrQt5ls2JEUPKCPXN6FCyPbcP7cXcEB+pG5+PqF5FFInwZA54XjLm6OHu1Bvj1RAFlfgP7sgjV4ev5aof/8j+U1eK2sHk/PX4sNcZx7xlP5a/FyaaNXQOeV4//Sk81l7Nfl4Oy6HCFr700F3i9A98hkTwTonvZqYwTiRBA+LqCLhOrGZNO9WK6JFdQvbIoXrO/OrsvBm8uq8XpZHd6wrMC7tUtxtiMXl+6Zjas/oNz3/pQeX/8+A5feq3S3W3M9KLpwthsXP6zDlWO34NorWWMB/eAooPPZ8wu3J+LvjmT8bcCMz7rm4Uz7fGyZE5iNqRQ3e0iAHmpDAnTRiIqKwttvvw0A0Gq1+J//+R8AwIsvvoj8/PzpnNqUDX8BPVyun7QSdbCl6GFh4ailw2jUcCXSgb43kuTg0eweKMINkMt1Afa+K2CgRbDFcOXrt8U7AoZyE1stlFirIozQqDP8gkhGlQq5XIcIRSwKSCfS6ErBjs0fkI1QxCKRrUASWwsLsQqq4zwIT7QPPVMAtdIEtdKEp/LXooT0YnMi1ydOVWZB4M3bOeNt0KJpCZq1nOjbU/lrkc20CnZrvNWct8/NC8JFMYW4I8GBtbO4hwprZzmhVpqgVCS4LM/omAcDcrkO0bQEcpkWEYpYwWN+OMYJAy3CQtIt7IOzXnN/uGFiq8GoUqFRZ6B9lgObEx14Kn8tVkc68NGqYsHqjZ+n2NEgiikEUSYjnloE0bqDZisWk36pB10KLxHcImgm3Zt4QN+VMiR4lgcK6DuSOHu1QAH96/93aPKA/uo8DtKPzHXPot8gQBeEwVxZ20tbDO4iYT4A/ZPWQnzYeAtONJXgo1XF+LilCB+3FAm96a8uacCTuevgjHUH9GPLq/B+wxKh1P39hiV4r64M7zcswYmmEnzcUoQz7fM5eF+XI5TVewK6OKvu03vdBce+esw9rdYmsljzlUH3LL/37If3ZvEmPp9828DJ5kV4q3I5XlrUjCdz1+GhzPX4UXo/DmX14rnCVvy5ehk+783ClR1aLnv+CwOuvToPl96r5DLmI9tw8coeXLyyh6voOHcXzn8+iIsnGnHl2C1cBv3ZeO5aOsSJ0F37IcGV7TqM3BWLc981uc3n45YinGxehA8bb8GdiVKFlxTikAA91IYE6KKh0+lw8uRJAEBKSgpeeuklAMCJEydACJnOqU3ZuBEZ9MnasnG2V8H0vStgne1EDR0OSO2cD95mjcuoBvbecjIgiKqtjgx8/gZahF6DE1p1Fkxstd/vI8pkpNNmVDFDSGJrhXJ1f96bxNYijpbBGetEOm1Gs9aObKbV7958fvsYWopaOowql8f7RO+TyQgqmSFYiBUGWoQ7Ehww0CJUMIOopcN+les3aewoJj0oJX3QMwXo0jtBVeYJz12vgQN/C7FiX9og1s7iSuILSRfKiHXcrEJ3FCcEd6+Rs7nj+9sLSReGY5yCL32w170UMyGCWwTNpHsTD+g8jPsL6NuTbNiTyr2+zWTDljn2oDLo1/7vJ9ML6Dyk3wBA/8qe4tYTLvY7P9uRi1NrFngF9K0mG56Z344/LF6Jo0tr8eqSBhzO68CTuevwqwVtOFLyHby5rBofrCz1Ceh8hp3Psot74j/vzRoX0D3L1wUg9yg99wboYjj3pjbv+YDAM8Tniu/nP9uRi9NtBYIl3QcrS/Fu7VK8U1OOo0tr8UJxC361oA0vFq/C0aW1OL7Cgi+HU3F1JyuIv339YiquvlGIS+/XcJnzc3dh5PIuXLq6fxTQv7odF85249L7NZwv+nOJnOL7Q5z43NV/0eDSFgNG/imOy9oPp+IvPdnCA5j3G5bgnZpyvF1V4VpnTffvQylCJyRAD7UhAbpoLF68GE8//TQA4NZbb0VNTQ3+8Ic/YN26dcjOzp7m2U3NuBGAzttMBfo+qjLDEetEryHQzKMCbToHqpghJLIVAb1XbLO2K2UoACE7BSIUsWBUqdgyhyu5VoRHe7UFG3t+CBhVKiJJDlZpHbDFOBGhiPWjBF8hZNMT2Qqk0HpYZ3MZ5olaCWQyKmSYG1gb7jdboYowIkIRiyS2Fmqlyed7+X7uBtaGfKYDdyQ40KnnxNKIMnnc75rPKrfpuNL6w3kdMLHVQsZdEW4Ao0r1ecxwuR6MKhW9BifWzuIguJIZgoEWCUJ2ow9DlFCEGzg7N5kWWnUWEtkKdEc5cdBsRQNrw3AMV9UQSXKQy7QLlnpyuQ6KcAN0JE/4Xps0dlQxQ/hjeQ3WRDoQTy2CYN1oNj5cqAzgxOW4OfOie9fvZirFtzOCWwTNpHtTsIC+I2kY+1z/DhTQr+1T4/xXt08O0N8sxtWj8ycH6IeCAHSXkrvfgO4quXYLF+Dy0OoN0F8rq8ezC9bg8XldeKG4BUeX1uLo0lq8WLwKj83rxjaTDfclD+NnuZ1ugM4LyJ1pn4/TbQU4tWaBIDQngLsLcsUl8J6A7ma55tGL7gbnos8zxlrNw6PdE8a9ZfLFwnqfrs0XxPE+bikSKg14sbwTTSUCoL/fsETwjz+1ZgE+783CuQ1zcHmrnus3P6jkvu//1HI+6L/P4DzQeUD/6nZcuLiDi5FtOP/lBq68XZw9fyaaK21/UIlre9W4vG0Wzm80Cmr9Hzbegj+W1+DVJQ14ubQRR0q+gxeKW/CHxSulCi8pPEIC9FAbEqCLxvPPP4+f//znADhRnszMTMhkMhgMBrz44ovTPLupGf4AeiTJ8auk2ltwGcTgVN8Pmq0BvyeHaUM8tQRll2aZIGPqKzJpCwy0CG06B/pnO/0qgZfLdchnOlBMemBkK7F/7oAAeBMFD+C5TDsS2QqXarx/5ziOlqFRY0cKrUc6bUanPxnuMBXadA5E0xJBQC2RrXBVBoz/3lLC2Yxp1VnIZdrRpXeif7Y/WXWKTNqCHKYNWnUWnLFOxNBSlJMBrIn03SOez3RAq85CPLVgldaBBtYmeKI/Pq9r3Acu7bMcKCCd2GayoYxYUcfacKTkO+g1OF0Kt/w59jzXCqTQesFbPYXWY5XWgUS2AjG0FJWMJL4jha8IbhE0k+5NwQL6fcnBA/rVH1CMnLo1KEC//N9LvxWALu5DF/qjxeJxPgD9g5WleK+uDB823iJA6YmmErxbuxR/LK/Bb4tW4+HsHjdAf2lRM/5YXoPjKyx4p6Ycr5fV4bWyery5rBpvV1Xg3dqlArh7Aro4my7OsvNl8Z4q656l7W7Zcg8g9yxdFwP6F30ZQrb507X5ONM+H6fWLBA+88nmRULZP//vk82LcKKpRLBEe6emXLCs+7ilCGc7cvF5bxa+HE7F+Y1GXNwcjSs7tJyn+QNK7ns/rMM3v5mDa69kCYA+cupWnP9yA85fuNftGrxwphOX3qvksuf/FYtvHlTi0j2zcbYjF+/WLsXLpY14NLsHmxMdwrX9+LwuPL+wFa+V1eMNywq8YVmB4yuCWzNJcTOHBOihNiRAn2B8+eWX+Mc//jHd05iy4Q+gE2VykBZRSld5dGCAXkJ6g/L9lskojGxlQD3msjAVFOHRuDPRgWym1e/PKZMR2GK4UvB7jXa/BOe4fXPWX/ca7Uhia2GmTfBHJE4mI8hh2rAzeRhEmQyqMsNAiyZ4nwJhYQrEU4sAx7yH+ETnRBamgiPWiTJihZGthIVYoVVnIZ02+3wPb28ml+uw3uBEp96JEtLrprLu9Vgua7VVWk707aCZK3WPpxYY2UofLRJc9QBVmVFIujAY7USjhvMvJ8pk6EieV0s4uUwrqLjX0GEcW14lXG/lZABJbC26o5xu1yxv98YrwN+R4BDaCOJoGajKjGhaMqZiQniP6/NJKu5SjI2pWwTdrPemYACd7z3fP3cgYED/UXo/LtyeiJGPmoMH9LcXfysAXYB0Ubm7L0AXBN46coXS9M+65uF0W4FXQN+RNIy9aYN4dsEa/P6WJhwp+Q6eyOnCQTPXTnQ4rwOvldWPAfQz7fPHZNc/binCqTULRuHddXxvgO4p5uarJN2zx5x/COGZFRdnxsUwfsokYEcAACAASURBVKKpBCebF+H9hiX4c/UyHF1aiyMl38EvC27FkZLvCJ7yx5ZX4fgKCwfo63LwRV8GvrKncHC+XcfB+YNKLvN9WIdv/isWX7+YimuvzsOVY7e4A/q5u7jMuQvMv/59Br55SIUr23X4a3863m9YgpdLG/Gz3E4cNFtxn+v/yOPzuvBaWT3erV2Kk82L8OnafPeqhOFUScVdCo+QAD3UhgToM2xcrxJ3uVwXhB94OKfCLaMBPRDQqDMQR8vwo3T/lcjDwsJRQDrRrOVA2V/ht2haAh3Jw8Y4h5tt13jvkYWpkELrBR/uOtbm1/F4OI1iCjEY7cSop/Y4512mhVppAlWZEUNLoWcK0Ky1YyIbOBNbDaoyg1Glon+2E81aO7TqrHFt1jTqDDCqVKTQeqyOdMDEVuPR7B7EU4tQ3j32fQoY2UrhPNa5ysy79E43yPc8plppEgT+tOosGGgRNsY53GzPPL8HuVwHE1uNHKZN8Cl/dsEadOmd2Jc2KJSfe56bQtIFHcmDgRahgHSiTefA4/O6UEA6YaZNo77mwrlRgKrMwkOBGFoKHcnD4bwO5DMd2BDHKc5PzsFAipszpEWQrzFZQN+Tyqm++wvo+9IGcV/yMA7MHcDfHckBA/rFD+uCB/TDOq60OUBAF3zQf0gmBHQ+xIAutvbyCugu2BUrlvNl3nyptxjQjy2vwsuljXh+YSuOLq3FW5XL8XZVBY4urcXzC1txv5mrUtuZPOwG6MdXWIQ+7berKvBW5XIh3qsrE/zWxYDOK8MLJecuZXge3nkA9QRyfv58dvx0W4GbWBoP3nyIgfyDlaV4u6oCz8xvx68WtOHJ3HXYmzboJkj4UOZ6PLtgDV4ubcSby6rxXl0ZPm4pwl/703F+oxGX7pktZM2/Pqjk4PyQivvun9JzgP5CMr7+fQauvZaHq28U4sqxWziv8zeLR0vZH6f45gElruzQ4tyGOTi7Lkc4h2c7cvHlcCrObZjDPWy6K9ataoK3WBP35O+WAF0Kt5DuTaE2JECfYeNG2qxNFE0aOw5l9fotahYWxmWWH5/X5TVbOl74W2otDo06A7tShgIWnHO6MtH+bt8dxQmXOWI5kbgktnbC98RTC0xsNVZHOhBJcvzIrnNRx9pQQDrRqLHDQIv86pkvJX2Io2W4I4GDzhLSO+72xaQH0bQEVcwQmjR2lJBemGnTBLoESlCVGSm0HmqlCblMOxTh0dCRPKFP3Fvwom+LST+2mWwoJF2oocOCDZq39ySxtaihnOpzHWvDzuRhoae/UeO75eG2eAfKiBVm2oRdKZzeQQUziHTa7LWHX600oYG1Ter/iBQ3W0iLIF8jWEDnLdn2pA7hoNkaMKDvnzuAc981BQToIx81Bwbonj7owQD6fpX/gM6Hn4Au9kgXi6t5A/Qz7fOFMne+7JvPPp9oKhGE0cSAvitlSLBs4zPPT+WvxYMZfXh8XpcgnnZseZUboPOZdf54YoX5T1oLcbqtwM3WjYdz8Vx5EOfjg5Wl+GBlqfBvfr8fNt6C9+rKcGx5FV5d0oBfFtyKQ1m92J0yhDrWho1xDtwW78CmBAe2zLFj/9wBPJHThZdLG/FOTTk+aS3E571Z+LsjGRc2xePi5mhc3jaLE/H7AXUH9IdUXAb9ccpdA/+p5WD9mWh881wid938PoOLF5K51w/ruO0Pqbh9PCi6PlzXxtUfUFzZoeXs1VzfO/+d85DOx940yRpUCnFI96ZQGxKgz7BxvQA9ECANCwtHCq1HhCI2IDE5qjJDFWH0KirmLYgyGYwqFXtSh6BUJMA///FRm7VIkuOXaJwi3IB7jXahx3ui3vJwuR5qpQkFpBPtsxxQRRj9skHTkTyUESv2zx0QLM/GK7Xns9ByuQ5deieS2FoowqMhl+u8nguqMgvfiUadgU69E3cb7S7BNu/H4renKrPgU96ksUMmI1CER3s9f5ztmgGK8GiolSYksbVYSLrHlJa7n+NoQSW9WWvHvUY7yogVlcwQ5DItFOEGN0iOUMRCrTQhhdZDo87AvrRB1NBhlBErHsjogyI8GlRl5s6HTCtcV4lsBSJJDp7MXYc61oZyMoC9aYOwxXDVEIpwg7B9WBhXYcHvp0vvxELSjc2JnIiejuT51QohxUwKaRHka0wG0PekBg7o+11/PxAooJ+6NSBA/+Y3c24ooLtB+kSAvime8+32BHUfgM6DrzjOrssRLLzEgP5CcQsen9eFZ+a348XiVXitrB6vl9Xht0Wr8Wh2j/A9/ThzvQDoby6rxjs15fhz9TIcW14lwPxLi5qF7PsHK0txsnmRIDT36dp8oUz9RFMJ3m9YgmPLq/DH8hq8XVWBt6sq8E5NOd6rKxPg/L26MrxXVyao079Q3IKf5XZid8oQNic6hGttm8mGOxIc6I5yYnsSJ6767II1OLa8Ch823oLTbQX4oi9jtBd+wxzOA92Vwb68bRau7NDi6k6W+872qbnv8iD3/X7zExesP6LmroXDulFIfyGZA/UXU/H1kbm49kqWcF25eZ8/pOKuE3ELxA8Jru5k3WD94uZot+/78XldQYn5SnGzhnRvCrUhAfoMG6GSQd9mCiyzuCGO629OofV+bR+hiMVBszUgy7KwsHCsneV09ST7t32Txi4Sbpt4+wbWhnhqQTbT6pfoWhUzhGhagjS60s9srAJrIh2Io2XIYdoEVfLxtk+nzUhia1HFDAkK6xM9cDHTJgHi9UwBSknfuNvrmf/P3pkHx1Gda382zUz3GY3k0Vj7eLRZlixLlmRZQpY9lixrsWRLQpYlIVnWYu2amTgmBmyCr31dEAjBZRdFEgpCkYSQcCH4gxtu+CBAQaCAAmIgLBezhsUsCcQL3uB+eb4/us9Rd0/3aGTLsW/Up+qtgLqn50x3h+7fed/3eYoRZUmEm5Qig6xFAqlAqqM6bBl+X1wQZVw/GoiQ4d6RGgj7QtE1J4BCfiN2zhNE8fL4duzyTqBS47f0uoTjpzka8NMFQyjhehFMFGz6tMrTl3J98Drq0BEjCNJNJARZhUGjni3XY8rQX4K0xrkA+t6sUQbh0wX0W7KH/+UAXdmLrgroYlZ1KkBXU1OnWerP+vNCAF0qlia1HHu5ZjXLrN+5cIBdpztyN+OJ8kvxrG8tnlzWgvsLu3G76Bd+u0Tk7OnlTQzQ325ehrfWrcDrayrxnK8RDy3pwENLOvC7JZ14pHQDnii/FM/5GlnZ/Kt1qxj4v1hVj4eXtuOuRX24PXczdnsncFVqALu8E7jG48eWpCCuSx/HnQsHcE/BJjxQ1MW83j9oL8HhjQWspJ72xH/lz8CR73hxdKtHAPQrkwRA3+USrocS0m8Rr60kA376B9E4ucuFMz/ihHuAqrtTOH9mkWDj9+ziycz6fyYK99NvooV76A6bcN/cbGUWfFqAfnSrZ8pqOD1mU+jPpott6IA+y8ZUgK4l7qUVdqsXHkdNxPsX8F24KnV64llXpATQEqb0WBnjCUF4HDURl31bzPGItudga5KgXB5O5M5o5BBtzwGxZWMiISh+R5j9DTaYTS7Ek3IMzw0iji+JaH+rJQXl3AAaHROwmOPDZuVpRr6A70KaowEJpCJs5tZoJDAabAzG7VYvrJYUzVYD1ntvJKjiRrDeGWDZ+dDSbis7lsnoZL7q+XynmFV3h/xekymWZdWH5gqZah83jGRSiWh7jgyWpefHZIrFznl+FPBdaHRMIIFUMBs05e+lNmgmoxP7skZRy4+x49uiPEgmlWx/atMWx5fAYo7HrTmDuDw5gIeXtoPYsmG1pCCBVCCOLxFFB90wGgnL2l/j8aPHJfyOSHzh9ZhNob8EaY2zAfR9WaMsbo4Q0K8XLdkiBvSvvicIdn0+imOH+84PoN/F/1MAXSYUF0EGXRpSVXQ1QKfl6FSZncZ768tYtvr5lQ14pHQDA99HSjfg6eVNeKFyDZ5e3oQHirqwf/4IdnsFT/vbczfj1/m9sv1oVp3eI1R/4PbczXiw+DI8WtaGJ5e14DlfI8ukP+tbi0fL2vDQkg48UNSF23IGWW/8Lu8EdnkncEv2MO4t6GHZ/LfWrWCl9B92LJlUnFf0vNPs+dGtHuFcbkueLHGngL4nll2jk7vn4Pj2RPw9kI6Pu4rYwsSLVfV4b30Zjm9PFLLr97vwzRPzcergMnz9TrPQWiHeeyferJnsT6fZ9LuJDNDP/IiTAbpaqbsO6HpMhv5sutiGDuizbFwsGfTIwiJabEX+mXA9xGpRT8bREu0X1efD71vODcDjqMHP8/pVVMZDYynXh2RSiSpuRBR9m3o+fXFC//rmKbzgqahZGdcPHzc8pWVKtD2HiZplkSZE23Om7HWPJ+WIJ+VIIBXgrOnIIk2q+xkNNmSTFngcNYi252CzO8h8xrWOHcPlo9Up9MFXcIMYTwiGrRBw8cVIIBXoiwuihh/DaLzgw642pzy+HdH2HMRw+cgiTcwGLZlUigskivkbOVyXPo5c0oYeVxADbuHYz68USu+l9yP9vVXcCMq5AbRE+1FPxpHmaGDVF2drUajHbAj9JUhrnA2g758/gv3zRyIGdArl0wJ0UUl72oD+ZM70AJ1m0c8HoKspuYcDdIWXuBagS0PmGb4pnymkU0B/tW4VXq1bhVdqq1mfuVRs7unlTThQ1I194rW/I3czHijqwuOXtOI5XyOeWbEOj5Wtxz0Fm/Dj7GFclRrAVakB7PZOsH5wuu9Lq+pwcHUtXlpVh2dWrMMjpRvwQFEXDhR14/7Cbvw8rx+35QzinoJNeKL8UrxWX8XmQ9XbqU+7dNFB2usus3gTxdmk51NqZffl6Hx8PrAQH3Yswat1q/D4Ja14sPgy3L2oF/cW9OCFyjX4oL0ER7d68O0v7Dj9fBGOv9cqVG6oWK19/XbjpBf6/50XEaAzwTjJtdYBXY/J0J9NF9uY9YD+3e9+N+L4VxgzC+jT9Tu3YF/EwiRCH3Kkve01/BiquJEpLcVoGI0ctqUEUM1PPR+rJQVbkoKionc4tXkLsxEr4LswkRCcUp3eaLBhS1IQBXwXirmesOJ3NJM9kRBEtD0H0fYcTWim+1dwg/A66hBIDLIea63zbTBYUMz1MP9xp32hqoickGm3wm71opofRdecSfhVz8JbYDQS8LZMNEf7MeAOgtiyUcENhpyfSaV0K27MGMOGmACConheDJePPL49ZM5UZX3AHUQx14Nafgy2KA84a7pCYM4KWgmwLSWAJ5e1sDL6oblBJvpG959UfCeYSAgin+/EMyvWIY9vRz7fiQWkFeXcAJszzdBfnhxAR0wAaY4GdMbqVmt6SCPyl6DZ+mw6G0DfP38kIkDflzV6/gH92cXnB9AVPcbT6kGfBqBLs+ghgC7amUmV0qXWZmqATr3Eqagb9Rf/sGMJ3ltfJgN0Wqr+RPmlDORfq6/CwdW1eM7XyAD9pwuGsEvsX39oSQeeWbEOL9esxhsNK/FGw0q8Vl+FV2qrGaA/WtaG3y3pxOOXtOKFyjV4uWY1DjVVyLLjH3cV4YP2EhZUgE6aMWf2bqPz8ZU/QwboR7bME9oCRufjs/48VlXwQXuJTLGeepG/tW4FPuosxlf+DHyz34Zv74vFN49l4tTBZTj+QTuOfj7K4Fx6Hx473Iev32nGqVeWTwL6/3EzQKf96EpAZ20NOqDroRo6oF9sY9YDemVlZURRVVV1oac6I2MmAT2XtEVsj0YFwyLNLtbwY6gn4xEe243r08cjUoNPIj64+GLsSA1MaWFmNrngcdTgGo9fFFbT3pdaiXXGBnBFyqQlW7jP1PICgFLA1NrfFuVBLLcYW5Imvbu1j2thZe5bkwKYhNjQ60Rs2eCs6fA4apjyeS0/BrrQIN3XaOSQRHxIczRgwC30adutXrYgoTy20cgxX3OPowa35gyCs6Zr7p9FmuC0L8TOeX5kkxZUcsMSD/PJ/c0mF2K5xcxOLYs04caMMZRx/ZJzPrlwlM93IplUooYfQy0/huXckGi5RkTxu8nrtJTrQ6NjAtmkBcmkEu+2XoJqXuhtpftRaKdz5m2Z2DlPEAgcjQ8ikBhElCVR0hYQuX2gHrMhIn8Jmq3PpukC+s0RAvrNYqb9vAD6wWX/ewFdhPRIAZ1m0r8cnc9gVQnon/YuYlBLS+GZp/rGAhmg017yQ00VeG99GQNkaoUm7V9/qqKZZclfX1PJ1N7pvlQA7vU1laznnPbCS23bpCX41IedCs1Jy9ilCxFS73W6MPHXoQUy+zaqCq9m3/Zu6yX4uKsIfxvJxvErk3D6eocgFnenAOff/t95OPPMIpz880rmg37s62vx9amb5PfiZ4M6oOtxHkIH9IttzHpAn23jQpW4c9Z0cNb0iPYV/DkjUVwXStq1s8LycNoX4ub5IxFZi3XEBJBAKlDIb5xy31RHNa7x+EP6q9Wi1xVEBlmLpVwfqriRsPvm853IIGtxtWfq39gXF0Qe3440RwPKuH7kkjZNQbXl3BCSiA9bkwKI5RajhOsNe86uSx+Hm5Qij29HIb8x7EJIDJeP5dwQhucKVQElXK/m/i3RfiSTSvi4YSznhpiPu9Y5ziJNTF9AXnouD6OR4JbsYRRzPagn4yjguzCsYbHXERNAGdePGzLGsN4ZwJYkocVA7R4htmwcKOpGLmnDuCgO5+KLFVl9IRodE0h1VOs2a3ooQn8J0hrTAfSbMgWBuJunAej754+w415wQL/fFTmgK8vcwwG60mptBgBd1oMulnVTMFcCOi1zp+Jp0nJ4KaDTjLUUjmm2Wpp1f7f1Eqa4fqipAu+0lLPSc6l6+wftJTJf8/fbSlkGXKlAT79DzWP9i8Ec5p0u9VKnv+2LwRx81p/HqgCk9m/UN11q3/Z+Wyk+7irCp72L8LeRbBzZMg/Htyfi1J5YnNlrxzc/sQrX/oF4fPPEfJx+qQwn3qrH0c8GcfTIdhw/eQNOnN6Pr0/dhGNfXyvoIUgA/cwfF6oD+n6bOqArrPV0QNdjMvRn08U2dEBXGa+//jp+//vf44EHHmDx4IMPXuhpzciYKUCPxBaMhmBxFtlxA4nBiNWw71w4IGYrw2fCDQYztqUIMDrVXJJJJa5LH5/Sls1osCGGy8eO1EBEdnFxfAl83DDLDGvtbzI6wVnTcbWYtTcZnapzphUJLr4YLdFC1plar4Ue14IYLh9O+0JsSwkwUTM1ITlblAcWsxtO+0L0xQmWccSWrQrZRiMHYstGMqnEREIQm93C/lTEje5nNrlgi/Ign+9EZ6zgJVvIb0QDGRfnMbmwEW3PYZ8fTwiyjDc9F1JF+ihLIixmNyrF83pFSgA1/BjSHA1w2hfKqh6MBhsK+C7wtkzcuXAAu70TeLVulcxWju7r4ouZENxtOYP4dX4vLk8OwE1K4eKLYTI6Ybd6mY0aVbQPJgZxeXIAeXw7uuYEprTB02M2xrm9BM2GZ1OkgE6h/HwA+slvbhGgaCZL3P8zcdqArtqHrgHoql7oKoAeYrOmBegSsbiv/BkRAbpaKAXlaHZdCry0JF4K6FILNZqNl5bP00w4hXyqrq5cHKDALc3kS1XYlVlyuj/9DP2eD9pL8N76MtlCgNRT/VBTBd5atwJvrVvBqgE+6izGp72L8MVgDr7yZ+DY91JxYqdbUGq/zSpc+wfi8c1jmTjz7GKc/PNKfP1OMytvlwE6FSycJqCf2hMrU3GXXmcd0PWYDB3QL7ahA7pkvPvuuygoKIDRaITJZILRaGT/bDKZLvT0ZmTMFKATWzaILTuifSO1RpuOuvuGmMCUfuMGgwBmkShpW8zxaHRMoDM2EFFZ8mh8EA0RlOBH23NQzPVMKXaXTCqR5mhAIFHoow77m4wElycLPc5TqdvnkjbEk3LUij36Wosq5dwA4vgSbEsRlOxr+DHNY7r4YlyREmACb0KWWF2PoJ6MI4FUIJe0odWpPdcafgypjmqMxgeZFZvWvgtIK7rmCJ7rCaRCsxWi1enH1qQAqrgReBw1uCN3c4jCu8EgLIpsTQpgWFSQf6CoC9mkRVOob2huEF1zBJu1JOLDdenjMsCX7recG4r4ntZjNsTZvQTNpmfTdAD9FlGZPRJAp37p4QD9m/9359kBeiQZ9LMA9Olk0MMC+vfnTgK6KF6mBugMzCU91VMC+hSQLgVkCr5ScGaALsK7MqMtzWozQJfsI7OBo/OSiNlp9csrIV76HXSR4L31ZSHl6tRrnQrfvVJbzWzcXl9TiTcaVjJA/7irCH8dWoAjW+bhxPfnCmXt+8XrezcR7oOHkv9pgC7NoB/ZMk8HdD0koQP6xTZ0QJeMtWvXorm5GV988QUcDgfeeOMN/PGPf0RpaSmeeuqpCz29GRnhAL2E653RntkoS6Jq+a9WhBM8kwZnTUc8KZ8icy6Ihi3l+pBEfGGPZzHHw2SKVVX4Vv4ej6MGG8Tyd639qE3XVamBKRcyzCYXrvH4YYvywGpJUbWGMxo5ZkVWI/EqDzfPrjkB7M0aBWdN18jWW2Axx8Nu9WJrUgDR9hxYzO4Q0KS2Zm5Sis3uIIKJQditXmSQtSH3imBlJvR235Axhs3uoFiyblHdz2R04qbMMVTzo8yvPcSGzUiY6F4e344Bt/D9yvNvMceDt2WiJdqPYq4Hu7wTcJNSpDkaEMPls3PAWdPB2zJhi/Igifjw5XgmKrhBpDka4HHUwG71itdAEMGj9nVvrVuBQn4jtiQJYnL0+6nNmt3qRZQlkWXQqXd7JO0UesymOLuXoNn0bJoOoP84exi3iOrsWoBOPdJvyhxjx5vxDPpMA/ptMw/orLxdA9BlfedhMuhSsTgpoGtBurRkXBkU0KUZbTWIl+5L/51+P5uPYi6yELdJleil2f3Dm/LxcVcR3m8rxXvry2SZcqXv+sHVtXjWtxZPVTTj6eVNeH5lAw6ursWrdauYOv0n3YX420g2jm714MRON07/IFooab9ZrIy4wyYH9CfmywH9s8HpA/pdvA7oepxD6IB+sQ0d0CUjLi4Or7zyCgDA6XTiv//7vwEAjz32GAoLCy/k1GZsXIw2a0nEF9aSi8YC0gqPowa7vFOXwNuiPJp9x9LgbZm4KXMsLPBSNfS+uGDYPnO6IDEaH0QuaUM+3xn2u33cMCq4wbCwbzBYMDxXWGgYCvN7TEYnOmMDiONL0BOmYsAW5UHXnAArjael2Gr7FvIbkUR8qOSGxe9Wz5JXcIOI40twjccPj6NGs7e+hOtFAqlAIDGINEeDajbbYLBgKdeHWG4xskkLskgT3KRUVW0/ifjgJqWo5Iax3hkQtQvUfwc9xi7RkieQGBSt8iZ/U7PYE399+ji8jjpclRqQCATKf7ublGI8QYD1BjLOvM+l+1jM7invAT1mW5zdS9BsejbNJKBflz6OfZEA+pZ5Mw/oSh/0GQB0ZrMmQnpYQFfJnqsCuqjirgXoFM5l4nBSOD8HQFdmuLX2ZyJtonq6MmRzkQTL9ktAXipmR0vXpdlx+s9vNy/Da/VVzHf99yXt+N2STjy8tB0PL23Ho2VtTD3+UFMFPu4qwheDOcK9dGXSpA/6tU6cvt6BM/vsgijcraIw3G+ihXvh96mhgC5m0L8+ddO0e9CVNmtagK6XuOshDx3QL7ahA7pkxMbG4t133wUAZGRk4PHHHwcAvPPOO+A47kJObcbGTAB65GW7kQm9JREfvI66sPsYjQRJxDel/7jRSLDZHVTNRMv343B5sgC02gJsgpr5Lu/EFJUAgi3YdenjU4i5WWEyOuF11MHHDWseU1AuJ1jK9WEBadUAWTNTOG90TCCelKOSG1YR4rOy39HjEqC0ihsJzVRTqzCDDVekBDCeIEC0ekXFpA3aemcAC0grou05KtlioYqBCtdlkLWI4fJlfeT0eJXcMLNqyyBrwdsyFZUPwncajRzWOSaQRZpwbZpQWi49j9QCjtro3ZG7GWmOBkTbc2SLQFKV9QeKuvDLvH6UcwOI5RZjaK6Qpaf3k8FgxZYkwWZtPCGIXd4JuPhirHNMsMUNerwtSUEsIK1sMcDjqDnr/5/p8a8YZ/cSNJueTZGquM8koB/blowTb9ZMXeL+cc/5AXQK51qArvRBDwPoVBRMCueagK70P1cAusxeTZmdVgC6FLCnA+jhgJ6Vrku+UwvQ1UBdaQ1H7c9ojzstY6dwTsvWX6hcg0fL2nDnwgEWv8zrx32LN+LRsjY8v7IBr9VX4f22UiYA9/dAOo5u9QjndnsiTnx/Lk7uniNkz3/E4Zv9Qnb7259Zhev9H87zB+gRZNCPbvVMKVSrx2wKHdAvtqEDumQsX74cBw4cAABcdtllqK+vx9NPP41NmzYhLy/vAs9uZsZMAHokdmYGgzmsOjg7lpHg53lTe5ffnrs5gu+0YG/WqAhL2h7tZpMLV01hs5bmaEAS8aHXFQy7XzZpQTZpQRU3EnY/6pl916I+QcxN4xxmkxascwhZXgqboftZ4XXUYcAdxM55fol3uHw/kykWEwlBZJEmDM3V9mS3RXmwI1XoaV/vDLCycvl14uBx1CCDrEWaowE+iQ2adD+L2Q0XX4w0RwMK+C7R1z3UQs5scsFijmeWacLCgiXkd8Ryi8FZ09HrEqoILk8OyCCc7kePsXOeHwV8F672+FkZPb3P8vh2LOX64OOGcbXHjzKuH7u8E4IAnSgoZ7d6kU1aUE/GUcz14KZMwcKtLy7IvtNoJIi256CBjIOzpiOJ+HCNx49ybkBUl7eyRRYXXxyRVoIesyXO7iVoNj2bfpTZh5syBSu0cwH0Xd4JXB8BoP9YBPSTr6/SBvS/+iMH9GcWCeXt4QCd2qwps+dqgH6LCpyrALoscy4Bc1n/+fbEaXmfh2SlVcrHqcK5FnRPF9CVobkooIByJaCrlbB/2LGE2bLR/z3UVIGDq2vxRPml+GVeP/ZljeJG8b64IWMMdy4cwH2LN+KJ8kvxgZbEpwAAIABJREFUWn0VPmgvweFN+fhiMEe2aHBkyzwc+15qCJyf/iERsuc3W88d0I9sx9HPR2esB/2T7kLdClQPMXRAv9iGDuiS8fDDD+O3v/0tAEGUJzc3F0ajEW63G4899tgFnt3MjIupxL0l2h8RxPfFBafsDzcYzAgmhi9BNxgE0bJkUjnlscq4/imPVcL1SoBRfR8XX4xKbnjKleos0oRc0gYfNxx2v6VcH5JJZVibMYPBjAYyjji+RATk0O0Wczxaov2sLF4r8x/D5aOSG2bideXcgOrv9TrqsIC0IpgYhNdRhzJOfdHFTUpRwvXCakmB3erVzDDXk3FckSIIwcVyi0OOZzHH4/bczczyrITrhYsvDrmf3KQUv1vSiTRHA2r5MbQ6Q0vRzSYXbswYw855fmSQtajkhjGREAyxSCO2bHTPCWJLUhDJpBKBxKCqzVoS8aGCG8TwXOFcqAnI6TFb4+xegmbTs2mmAH23dwI3ZEwquGsB+q05g4KI11v14QH9s8HIStwjBXS18nYloEtL27UAXQnnisy5VBxOCuVqgC4VgJPBsUopu1LtXE0RXWpPFg7Q1UrZVQFdJZuu7C+nmXKpjdvHXUX4qLOY2bcdaqrAa/VVeGbFOvw6vxc3i/fC5cmCy8j++SO4b/FGPLSkA6/UVuO99WX4pLuQKbKz7D6F8+94cWxb8iSc73Lh1J5YYfFECeh32IRrHg7QxR70KQH9mUVyQP+ZdVqA/vnAQh3Q9RBDB/SLbeiAPsX48ssv8Y9//ONCT2PGxrkAuiCINbVtlNO+MCIIjsSezOOogS3KE/YhYjHH48aMMbEsWT1zHsstRhLxscyq1rHcpBT5fOeUVm9uUgqzyaWpih5lSYQtyoM9aRNhQd9u9YKzpmNbSkDzWDFcPogtG1d7/DCbXKrnwmiwIdqeg61JAexIDYjXKTT7bjI6MZ4gtABEWRJVLdyoYNuO1ADsVi8sZrdqFjiXtKEl2o+JhCA7F9LjmYxOGI0EHkcNPI4aFHM9MBq5kGtOs9BLuT7k853YkhSExRwfUq4fyy3GtWnj6IgJsHYHkylWVo4ew+UjzdGAa9OEvnBiy0YcXyI7Z1GWRJRwvfA4anB9+jgeLL4MLr4YvC2TnTOvow68LROF/EYU8hvR4wrijtzNsFpSZPNKczSA2LKxJ20CPm4YS7k+7EmbYNZy5/eBqsf/vpi5l6B/1WdTpIB+S/Ywfrpg6JwB/acLhnBkyzx8/XbjuQH6CyVCeftUgB6u//xOUeH7NkXmXAXQZXAutVNTADrNmrMM+ZZ5IYB+ZMs8fOXPYBlnLXV0Cr9UTZ2Ktik9xOnf1JTbpeJvSlE4tXJ3tX9XLhqoZcrfbyvFhx1LGJi/23oJXq1bhSfKL8UduZtxbZpwX92YMYarPX7syxrFTxcM4aElHXi1bhWzSZNaw0k93imY03NJ4fzETrcM0M/8iGOAzgTilID+ZM6MA/rpHxJZy4OaD/oXgzk6oOshhg7oF9vQAX2WjXMBdLPJNaUieqSxc154ezAhLLg8Obw9mY8bRjwpn/JYzdH+sB7oFnM8Gsj4lDZrTvtClHC96JqjPa/maD+8jjqkORrCzmmdQ+ht1+qr9zrqkER8aCDjWM4NqfRuC1HM9SCOL0GlRvbdaORQw4+hkhuGm5SikN+oup/VkoIyrh/rHBNIdVSr6gJU86Nwk1JkkaawixgeRw2ILVszS55AKuB11KHRMYFCfqOmoF8e387OQT0ZV1nQsaIjJoBqfhRJxIdafkzMkMsXJyxmN7rmBLDZLVip3VvQIwL55D7UZq0l2o+rUgMo4/rxy7z+kIWT7jlBZJC1yOPbsSM1gApuULbdxRcjn+/Eeqeg6B5J9YcesyX0lyCtMZOAvidtAnvSwgP6vqxRXJc+LvSgfy81MkAPV+JOAZ0quKsBujJ7riEQR/vOZXCu6D8P6TdXADr1vZbapSkBnYK51MKMgqgUjul2qee4EtClXud0u5pVGt2Pfo9yQUDpnS7dpraP1A/9o85ifNRZzMrX3229BG82+vD8ygbcU7AJP84exs55fuxIDeBqjx83Zozh3oIeHCjqxqt1q/Bu6yUClIvzP7yxQObbThcH/h5IZ+fx6FYPy55/vSNeAPTdcwRAF/vPwwL6Q8mRA7qyB10J6JISdwro4XrQ/zq0QAd0PcTQn00X29ABXTH+8Ic/YPv27di8eTP6+/tl8a8wzneJu1YWWBlawmc0Gsh4SImxMowGG7yOurBZ/Wh7Dm7K1Pb0pkFs2aIlmPbvulrMyGrZplktKagn42E9xA0GAah93LAmuJlNLtitXjGTrJ59t5jjMeAWBMt4W6bGebfCbHIxMTxhIUAJrvHwOupwT8EmxHD5qjZrJlMsyzrXk/GQjDrtRTcabCjhepHmaFAV6YuyJKKSG0YWacIVKQFYLSmyc0Az7lGWRHTPEXrnt6UI1QD02tBKAc6ajkBikPXOx3KLJZURFmZb53HUYGiukP1OIj6xlF84BzFcPmxRHhwo6kZLtJ9VYdC5m00uuPhiFPBd6J4TxE8XDGFDTAAdMQHYojwsk24xu0Fs2VjODWEp14fr04XedDcpBWdNn7JVQo/ZFGf/EjRbnk1TAfoNEQD6tWnj7PM3RwLo25K1Af2r780MoEt7z7UA/WcKSzUVQD99vUOALjFbqxbHr0xi8E2Vz6WATrPpnw8sZGJpH3cVyQCd2pp90l3IhNRYVlkE2E97FzFwlx7nk+5CBuha8E59zJUhzdBLvc6VPuVSEKeZ8o86i/F+WymD8p/n9eMW8Z7YOc+PXd4JXJs2jp/n9ePRsja8WFWPd1svkc2bzl0NzGlJuxTQj30vNWJAZyXu0h50EdBPP18kA/Rjx3dPTyTuN9GaPegnd7lUAV3PoOsxGTqgX2xDB3TJ2LVrF0wmE0pLS9Hc3IyWlhZZ/CuM8w3ogq2Utnq7iy+eUgXeZHSiJXrqDHsst1gU79Le5/Lk8GJwvC0TC0hr2Ex9pai4rmUFF23PQTKpDGuDZjAIZfGx3OKw2fdirgcV3KDmIgAt7V7v1DqGBSVcLxaQVsTxJZqLBVXcCPL5TnTEhK8YWO8MoJwb0JwzZ01HOTcAp32hhlWdMJ9s0oKJBPXzk0HWwmlfiC1JQgZb65qWcL1IIj7cnrtZ9bss5ngUcz1ojvZjS1IQo/HBkKqDRscEkkklCvguPFh8mXjdJ9siou05WM4NoWtOADX8GJ5c1sIE5GgYjRzGE4LwOGpQw4+hgQjlssr2Ch83DI+jRu9B10MSZ/cSNJueTeEA/ToxbogQ0G/KPHtAP37yhogA/dQry9U90KWA/p+JQmm7FqDfaWNl7Wf22QXFbyWg/4hjYC6FQWl8vSMex76Xii9H58v8wqWATjPm77eV4o2GlXinpRwftJcwQP+0dxEObyxgoPtafRVeqa3GoaYKBugUkN9bX8Y8wqXH+aS7kIH4x11F+KC9RA7vksz04U35DIylgCxdAKCLALR//FBTBd5tvQTvt5WyeLt5GQ6ursXvlnTil3n9uDZtnAH53qxR3J67GfcUbMIrtdUsU07no5zX5wML5T3wkj53NUCnqvghgE5L3PfatVXcNXzQzxbQ1VTcpYAu1R3QAV2PydAB/WIbOqBLRmJiIn7xi19c6Gmc13GhReKILRsLSGvYfYxGTlNkjMYVKQFNiDUYBHDckhQemLckCSJfWv3yTvtCdMQEwlqsGQ022K3esD7qBoMVQ3ODcNoXsn5pZWSRJmSTljBl8VZw1nRV6JTOpdcVZGXhyqy60WCDiy9mcK4u0GZFjyvIROsyyNqQfaLtOUgiPpRwvYiyJKpk762YSAiikN+IbNKCDLI2ZD7UIm5LUhAJpAJ2q1dWUk+V6evJOBaQVownCGXl0sUWQVGdQ5qjAQ8vbUcCqUCao0Es4bdMWqkZbLhrUR92zvMzj3X6XUaDDWaTC9X8KDpiAnj8klbkkjaZqB9V3d+bNYrmaD/y+Hasc0wgji9BIb+RzdXHDaOQ34itSQFsiAmgXhTq07rmeszGOLuXoNn0bPpnA/qPwwD60WPXhAX0k6+vYtlzVUB/NB3fPpQs9J5TOFf2nyvgXBXQRTg/vj2RAaES0I9vT8TfA+kMej/rzwsB9M8HFuKD9hK8vqYSB1fX4rX6qhCwfr+tFC+tqsOTy1rwVEUzXqyqZ4BOs+iHmirwcs1qPOdrxMHVtTLQp5ntd1rK8da6FQze328rlWWp6X6HmirwTks5A3i6UEDt0N5pKccbDSvxZqOPBZ3LOy3leH1NJZ7zNeK+xRvx4+xhXJc+jj1pgs3e/vkjOFDUjedXNuBQU8Vk9l9SFk8XBOj5UhWmO1dAV1Nxpz7oGoA+rRL3B+I1AZ22QeiArkf40AH9Yhs6oEuGy+XCO++8c6GncV6HOqBbw8KuwSCA9VT2alZLypSib+XcQNjtaY6GkN5geVhRwvWKoKYuCOd11CHKkqiZOTcabMgmLWEz6waD0P88VT/6NR5/2H2SSSUquWHN8nnOmg671StmxNUqDyyIJ+Wo5ccEsTyVaxDLLUa0PQetTu252K1eUeU+XvM6lnC9qOXHGNhK5+Pii2Exu2Exu0UFeYtsO2dNR7Q9BxlkLerJuKgLID9GNmmBiy9GtD0Hw3OD6HUFQ4TgMsha5JI2dMQIpevdcybtzQwGIUueQCrg44YxGh/E1qSAIFBnimX3Qz7fiRguH7fmDKKA70JfXFCAbPF6E1s2Uh3V8HHD2OwO4oP2EnE7x7Lly7khJJAKxJNyvFC5Bh0xAYmtnJW1RNBe8wWkFYFEOlfCjlXJDeticXpI4uxegmbTs+lcAX1f1ihuyBjDdenagH5dupBVPRdAP/FWvay8PQTQafacCsOpAfov7DKgUgP00z8kOPH9uYKYmyhKxmBQ7DU/8h0vPu1dxMq1D28skAHnF4M5+KizGC9W1eM5XyNeqFyDl1bVMUB/v60U77SU4+DqWjy0pAO3ZA/j7kW9ePySVgbobzb68EptNZ5c1oL7C7txb0EPnii/FC+tqsMbDSvxdvMyvN28DC/XrMbTy5vw5LIWvFhVz+CdlqJT4H6tvgov16zGa/VVeLt5mQzu325exvzIn/M14sWqery+phJvNvrYZ6k12s/z+nFd+jh2eydY68Mv8/rxQuUavN28jAm9sb5ySXZerYRdC85l5e2KXv5j25KnzqDfLCzCaGXQlSXuWoB+7HCfeg+6FNBvtjIRwZO757CqCwrotMXhs/48HdD1EEMH9Itt6IAuGVdccQX+/d///UJP47wOLUBX6xmWhpuUTvkfct6WqZndFcKCjpjwom9lXH/YXnCjwYZWZ/jy96VcX9is5RUpgbC2Z8mkEiVcb9h9uuYEkEAqNAXekogPHkeNZlm8wWBGIb8RLr447Dkr5wbEtoHQbQV8F2K5xehxqWfVrZYULOX6sM4xgVhusep5reJGmOib2lztVi8yyFqmpq/W7280ElyVGkA8KddcgGkg49gQE2DiccrtFrMbrU4/KrjBkPNuMjrR4wqiIyYANynFAtKKan405Bg3ZoyhQ8xcJ5PKEJE7HzeMR8va4HXUoZDfiF6XssLCgluyhzHgDuLGjDEsIK0hVQbV/ChySRtunj8Cr6MOtSEtBEK1RKNjAm5Sir64oF7irockzu4laDY9m36Y0X9OgE5h/HoNQKfHuilzTBPQT5zeLwCRBqB//U6zvLxdDdBp9lwJ5xTQ7+Lx7a1WliFXAvqZvXac/kE0Tnx/rkzkjQI6VWf/cjwTH3UW4611K/B28zIZoH8+sBCfdBfiUFMFHindgPsWb8Tjl7TKAP2tdStYFvqnC4aw2zuBmzLHcNeiPgboNFt+f2E39mWN4qbMMdxTsIkB+qt1q/BiVT0eLWvDbTmDuCN3Mx4p3YAXKtfgjYaVONRUgTcbfXjO14hHSjew49Is/qGmCrzdvAyvr6nE08ub8EjpBjxWth5PVTTjWd9avFhVz4D+mRXr8EjpBjy0pAO/zu/FbTmDuDZtHLfmDOLhpe14rb6KZcppeTwFdCWQa/qtRwLoIqSHBXTqg743TAZdtFmjgH78vdazA3RRJE4J6GoicRTQvxzPnLI1T4/ZEjqgX2xj1gP6d7/7XRbf+c53EBsbC5/PB7/fL9v23e9+90JPdUbGhSpxN5liQ3p5lfFAkTbMGgxmbIgJhM3AU9AMBS8hjEYStszcYBCy0SajU7MSII4vQRU3oqkIbza5sIFmWzUy9FGWRGSRppDssfQYFrMbeXy76jx4WyYK+K6QrO/k7+RQT8Zhi/KIxwqFas6ajjRHg1hJwMnKz3lbJkymWJhNLqx3qtu/EVs2rvH4Uc2PItVRHbJAYDTY0DUnwEq+5bZvFsRw+XDaFyKBVOD+wm7Ek3LZMaLtObCY3Yi25+Cq1AA4a7q43cKOTxcdFpBWrHNMINqew45BfdYbyDiG5wZxW84gLOZ4UZROOEaaowExXD6eqmhGS7Qf3XOENgTB1o+At2XCbvUimVRiW0oADy9th8XshsnoZPdQPCkHsWUj2p6DYGIQ21ICiOHyYTHHw2SKRbQ9J+yCkx6zLSJ/CZqtz6ZIAP16sXf8XAD9xoyzBPQP2oXydqn/uRLQKZxTYThl9lzMnJ/+IZn0ypYA+pm9dpzaE8vKkL8cz5QBOlVnP7yxAK+vqcQLlWvwat0qBui0n/q99WV4zteImzKF302hmwL6q3WrcHB1LZ5e3oQDRd3YOc+Pqz1+3JQpqJs/s2IdXq5ZjZdW1eHRsjbcmjOI3d4J7M0axb0FPXiqohnP+Rrx5DLBGWNf1iiD5UdKN+D5lQ0s071XBPs7Fw7g4aXtbA4vVtXjqYpmHCjqxo+zh3HXoj7ct3gjHindgKeXN+E5XyOLxy9pxYPFl+H+wm4cKOrG/YXduG/xRjy/sgFvNy/Dx11FIUrxUtE7qsAu9XtXgngIsJ8FoJ/aE4tT1zrPCtDPqsT9fpeqivvp6x04da1TE9CPbJmHA0XdF8F/F/W48KED+sU2Zj2gV1ZWRhRVVVUXeqozMs4XoE/VV+60L9TMNkcSVksKOmPDZ9+75gTClthz1nTVzKvBIGRwK7lhrHNMhC3l92lYmRkMgrVYuIy4m5QihsvX6P0WooTrZR7rym1mkwtpjgZkkSbNzyeQCnDWdM2eeJq118rspzqq0RLtRwyXrwGWVjSQcVRwg6q/sznaz36DmkBdLmlDAqlAPRlHNT8asrhQT8aRQCqwI1XIlisFBYktG0u5PpalXu8MFQGkCvD5fKdKdsCKW3OELP2O1ABq+bGQvv/maD+ySBN+nd+LfL4zRNzOaOTQERPAOscEJhKCqOAG4bQvFLdb0BItVAK4SSl83LAoeKgtnKjHbIrIX4Jm67PpfAL63qxRVgKvlUE/9e2tkwruaoAulrefemV5KKA/swjfPDFfUG2XlrZLAf1uImTOxR5hGaCL/uYndrrx5XgmPukuxKe9i2SAfuQ7Xnw5Oh/vrS/Dw0vb8WhZG57zNcoA/cOOJTjUVIHHytYzn+9r08Zx16I+PLmsBa/UVuO1+iq8Vl+F51c24PFLWnF/4SSg31vQw8rTX6uvwkur6vBI6Qb8dMEQ9maN4tf5vXiqohkHV9fimRXr8PDSdty1qI+d91/n9+LJZS14ZsU6PFa2HrfmDGJHagDXpY+z7PrzKxvYwsDerFHsSZvAvqxR/DKvHw8WX4Ynyi/F8ysb8GJVPZ71rcUT5ZfikdINeLD4Mjy0pAPPrFiH19dUChUDEsV4qcc6LfH/yp/BzuHZArqs/zxSQFeWuJ8roB/Zri0SFwbQlSruUkC/v1AHdD3M0AH94huzHtBn2zhfgH6uQlg3ZY5pAnyUJRFmkwsJpEJ1u8XsxrVp45rHNhoJrkgJhO1tvyo1oPn9UjCeBDFpCD3SWll1kykWVksKuuYENKsIaIm3mqe7xexGNT8Kzpqu+R28LRNLuT7VbDm1C4sn5eBtmSG2X7YoDysjVxN9M5tcuCpVqF7IJW0ycKe93VGWRIzGC2BMbNmyY1DbtAyylvWMs2sjirTF8SUYmhsUe93jZfeT1ZKCAr4LDy3pQLQ9B8SWzc6T1ZICo5HAbHLhhowxtET7QxTuLeZ4/DyvH83RflRywyjmeti1ppnuze4gelxBPFh8GeL4EtiiPEw8kGbv4/gSvFJbjXy+E/GkHHF8CcuSc9Z0lkH3OurgtC9kCwfh2z70mF2hvwRpjUgA/foIAP3mKQCd/vPZAPrxDy+bFIdTA3SaPadwrgR0WtYuZsgpxDFA/xGHr3fE4731ZXijYSXebyuVAfqX45n4fGAh3lq3AvcUbMI9BZtCAJ16f1PhtBszxnCNx48bMsbw0JIOvFyzGm83L8OhpgoZoB8o6sZPFwzhyWUtTLH97eZlDNAfK1uP3y3pxFMVzXh9TSXbRgH91/m9+HH2MB6/pBXPr2zAS6vq8MyKdfh9STtuzRnELu8Efpw9jAeLL8PTy5vw/MoGPFrWhjtyNzNRv9tzN+OxsvXs8wdX1+KlVXV41rcWTy5rwRPll+KFyjVM8I32kUtt2pSWaBSqpYAertd8WoAuqWgIa7M2XUD/fHT6gD4NmzUG6N/x6oCuhxj6s+liGzqgS8Zf/vIX/OMf/9Dc9q8wzgbQoyyJU4rIhQs16JxODLiDmp7heXy7BjRPhtdRp2ntZovyiN7Y2p8XPqsuSEfVu7V6+Iu5Hizl+jTL2altWqOG53sJ16vZc7+AtIK3ZSKJ+FR6oQWw9jhqxJ7u0PlTb/StSQHkkjbV7yjnBlDJDaueYx83jHJuAF5HnSjmNrnNZHSigO9COTeg2eNWwHchgVSgUhRrU85xnWMCeXy7uM0asj2ZVOKGjDFkkxZUKiob4kk5PI4almVX3oNV3Ai2JgXQGSssPOzNopUVFnbuGsg4Wp1+XJ8+LuklF9Thq7gRlHMDSHVU465FfbJFC2LLRq9LKJfP49sxwOZ/Ph6qevzvirN7CZpNzyYtQJdCdThA/3H2MPZmjZ4VoNPydmaxJgH0Y4f7cPyD9klxOAWgn3l2sVwUTgnodxN8e5uQOT+5e44AcRJAP/2DaHy9Ix4fdRbjhco1eKW2ehLQRVg8vLEAr9RWY59YCXD3ol48WtbGer3faSnHoaYKvFJbjaeXNzFA35M2gUdKN+CNhpXM8oz2fNNM9kur6mSe4FTQ7fU1lXi5ZjVTcqee4++tL2OA/kT5pXjWtxavr6nEOy3lTFDuWd9aPLy0HfcXduOR0g14saoer9atwss1q/H8ygY8UroBt+duxk8XDOFAUTderVuF19dU4o2Glaz8nsYbDSvxYccSZoMmBXPWV67IkisBXQrhWv3mkQC6FNJVAX2Xa+YBnVr+iYB+8s8rpwb06x2agE5/gw7oegihA/rFNnRAlwyTyYTPP/885O9/+9vfYDKZLsCMZn6cDaBbzO5zUqIOB9BGI8EduZvDbtc+tgUZZG3Y7P3WJG0fdKPBBos5PkyPsBUeR40qXBsNNuSSNqQ6qlUXILJJC/L4dk3bNKPBBmLLRjBRTeDNCqslBRtiAqLQmRzujEYOWaQJXXMCsFpSVDL/gsL68Fy1hQ1hGwXO0HNnhckUi9tzNzObNOk2Wi3QERPQ8FgXSrwTSAW8jjqxHH9y/kaDDdtSAhiND8LrqJMJD1LrNY+jBj5uGGVcv2TxRPjuZFKJ5mg/rkoNwMUXyxaOjEYODWQcv1vSCRdfjDi+RFScF7abTLEwGZ24JXuYqa9L7zOT0Yl7CjYhmChY1ZVwvSjj+mExu2E0cnDaF2I8IYjr0sdRzPXInAA4azqG5wYxkRBEDJePGn4MdqsXqY5qXSVXD0mc3UvQbHo2nS9AvyFD6EG/WQXQj1+ZNDWgf9wjgNHrq0IA/cyzi4XSdqnfuRLQf2bF6esdLMPKAF3Mch7d6sHLNavxWNl6PH5JqwzQ/zq0AIc35eONhpX43ZJO3JQ5xgD9sbL1eLVuFd5bX4b320rx1roVTEn9/sJu3LlwAE8vb8IH7SXMXkwK6FRF/ZPuQnzWn4dPexfJLM5oNp2Krh3elC8D9FfrVuFQUwWzavugvQRvrVuBV2qr8ULlGlYqT4Xg3mhYyQD9qYpmPL28iXmTUwu3Nxt9eLVuFV6tW8Us2D7tXcRK12mfuRTMj3zHy6BTDdBpmTsVh9MSiQv5m6L/XAboVMldCujfnysDdNaDrvRBP5sMejgfdEWJuzSDrtaDrgO6HvLQAf1iGzqgS4bRaMQXX3wR8vcPPvgAPM9fgBnN/JjpEneT0RkW3mn59FTHUN9mwa05g5qfc/HFGNbIzpqMThEA1eHcaklBrysYVrhO8GJXz5z3xalndYWwimCubpuWQdai1emH3eoN6Xe3mOMRTBQgTwl2JlMsEkgFRuODEis0+fFTHdVIdVSLVnShYFjLj6GSG1bdlkWaUMkNI5lUitdEAtZGgvGEIPL5TgQTg4rPC7/X46hBEvGJPdeT58UW5YGPG0YcX8J6xpXfX84NoNcVxGh8kPmO023ZpAX5fCfKuH7sSA2IIE+vq4Up0e/2CvoB0mtazPXA46hBPCnHK7XVqOAG2f1mMbsx4A4iifhwR+5m7J8/AhdfDKORg9nkQiG/EeXcAH6cPYxAYhCx3GLRe52w80UrGAS7PfnvKuF6kUwqEUzUM+h60Di7l6DZ9Gw6X4BOheFuEb3SpYB+cpcLxz7uwYnT+9UBXVHeLgP0F0omQek30UIpuxTQ/8OJb2+z4tS1TgZxUkA/ucuFI1vm4a11K/C7JZ14sPgyGaBTS7B3WgTLxweKunBjhgDoDy3pwKGmCiYKR+GYqq4/52vEOy3lrEf7s/48HN5YgA87luDd1kuE428sYKD7xWAOA/SPOotZGTnt66Ye69QOTaqWTpXSqU2LX3RhAAAgAElEQVQaBXsqWke90d9s9OG1+iq82ejDe+vLmBc5hX5q10a3SUXelL3lst58Sdm2WhZdCuhSSzUlkEcK6DIv9LMB9P9wCvfHNG3WQjLov08NBfSbrREB+t8D6Tqg6yGGDugX29ABHZNquSaTCSMjIzJ13GAwiLKyMixbtuxCT3NGxkwDutnkCmsjRdW41bY1R/tRzPVofvaKlIBqT3Wk85JmT5VBlbfVtsVw+SEWXdKo4AY1+9nLuH4kEZ/m7+pxBTXt29Y7haxwBlkbsq2BjCOOLwkrxpdL2jTLqb2OOiwgreKiQ+hn68VybrVtVdwIEkiF6m+iZd5lXD9KuN6QxZauOQHE8SXocQVD7oNWp5/5kauJ7w3NDaKM68dofGj5+3hCEMVcDxaQVmx2B2XnzGR04tf5vSjnBtg9prxe4wnCZ/ZmjYZoGwy4g8glbVjnmEBLdKi3/NakAPL5TuxJm4CLL0Ye38629bqCSHM0oJwbQEu0X9MiT4/ZGtN7CZqNz6YLAui75wgCcCdvUAV0mj0/8WZNCKCz0vb7YkMB/b5YfHuboNZ+bFsyjm71yAD95C4Xjm714P22Utyeuxl3L+plgE7twj7tXcRs1J5f2YAHirqwL2sUB4q68XbzMgawhzfly7LXbzb68El3IYPvvw4tYIBOvcH/OrRAVvZNAZ2WkUthVQroUg9xms2mgP5RZzE+7iqSgTsF9PfWl+G99WX4oL2ECeDR7TLoFxcU6LHpP0vBXM2XXNobrgno0pAAubLcXemNrixxDwF00fpOE9CVJe7UBz1SkThpifvbjWedQac+6Dqg6yEPHdAvtqEDOibVco1GI5YtWyZTyK2trcXw8DAOHTp0oac5I+NC2aypRZQlMWwGWygtV89gX5ESCNsXv8ur3tNtMAiwq3XcHlcQZpNLI/NuYSJnakrvV6WK21Sy01ZLCja7g6oibyZTLCYSgjIbMRqx3GKWcVcD73JuAI2OCWxNCjDBNrrNxRfDFuXB1R4/zCaXDJ5dfDGslhRYLSnYkhRUtUGL4fJxjccvlHhLfq+LL2b2YZPZfPG3GJ3grOnIIk0Ymiv/vUYjB2LLhosvRj7fiUbHBIxGwsDdakmB11GHDLIWNfwYs4kzGjlYzPGwWlIQx5dgQ4wAyLRk3WAQ2ig8jhq0RPuxgLQillvMxOic9oWIsiTCTUpxa84g7lu8UVa9kEWa4HXU4dacQVRywss9PY9JxAerJQX7skZRyG/ElqQgOGs6s6FLczSA2LKxJ20CPm4YtfwYs+mL40tgt3qxJy28M4Aesymm9xI0G59NUwH6nrQJVUDfHwbQb54/wizWlIB+R+5mBugUiBigH9mOo19uYdlzJaCffqkM3zyZI/Sd302EoIAuAvuZH3ECHI7OlwH6iZ1uHPteKt5vK8W9BT0yQH96eROD78/68/BhxxIG6A8t6cA9BZvwYccSBqm0BP6D9hK823oJPu4qwt9GsnHkO1585c+QAfpn/Xn469ACWTk4BfS/Di1g0M7KwkVYpVl0BsmSv38+sFAm2KYG7hTa6RyUHuUU/KUwLs2a0++UAnekgK6EdU1A1xKPk4jOKQFdquKuCujXOyIC9DPPLp5WD7qWDzrLoO+14/QPotm9Js2gH93q0UXi9FCEDugX29ABXTL6+vpw7Nix83LsJ598EmvXrkVSUhIMBgMOHDgg2y5Ac2j88Ic/ZPucPn0afr8fcXFx4Hke69atw0cffTSteVwsgH6NRz1bazCYmaq22jajwYYeDZ9zg0HI2BfyG1W3mU0upsytFl5HnaYYXTKpDGuPtpwb0sz2hxOJMxiESgKtBYNGDdu3ZFIJr6NO/Kx8G/UGb4n2I5e0hfSoF3M9GI0XMsjK7HEe344EUoEGMo4afixkAaU52o+OmAB83HBI73wNP4Z4Uo5irkc1G7/ZLViSqf3e5mg/MshaXJESCFngMBo57EgNIIs0oSNGabVnZf3w21JCbfiG5gZRw4+FCNl1xASQQdaie04Q16aNY0eq/LPXpY9jwB3E8FxBmV6a4e9xCecuj2/H1R7BUm3ysxZsSxEWEDbEBJDHt2veU3rMxji7l6DZ9Gw6H4B+S/YwO5YS0O9e1Iuvd8Tj6Oej6oAuZixPvFUvB/SDy4QM5n8mCnB0Fy8H9LsJvrnZyiD0byPZk4C+y4Vj30vF4U35eM7XiJ/n9TNA/92STrzRsJJlsKWAfnB1LV6rr8KnvYvwlT8DR7bMkwH6x11FDL6PbvXg6FYPA3Qp4DKgFTOp0iyxVACNAroUVpW93Gq2ZvRvFNylGXcK9Go+5coydhpqyuwyQBd/ixTQKaTT36sG6KqCcCricTRrHyISFwmgh8ugPxAfAujH32udOoOu1YN+pw3f3jo9QH+1bpVq1Z4esy10QL/Yhg7okrFr1y7s3r1bM85l/Nd//Reuvvpq/Pa3v4XaS9Cnn34qizvuuANGoxHvvvsu22d0dBQpKSl49NFH8ac//QlVVVVYvHgx/ud//ifiecw0oJdzA5rbtJTTDQazQnxMHkaDTVNZnbOma0K2xRwPs8mlWX4eZUnUtLy6PFkQXFMrxzeZYrHLOxGS/TaZYmExu3FFSkC01ZKDpdWSgms8/hDbMTrXWG4xKwFXfmc8KddcpLg8OQBblCd0PmLmduc8f4j4m9FIYDLFYptoNxc6Hzec9oXYkhQM8WA3m1xMBE0Q1KNwbWWfC9IebcligsnoBG/LRJqjgfWJK+dze+5mNEf7Fds4mEyxuNrjRy0/hgyyVibkZzG7wVnT8WhZG4q5HolInxVO+0JYLSnYkzaBqz3SFgorbFEe2K1eFHM9uDFDyNDTBQqzyQU3KcUC0oodqYKqPb3PaJY/m7RgS5LQs26L8rBFF4vZjRsyxuATLdwyyFpmiSfcI/FiH/qFfgDrceHj7F6CZtOz6Z8N6Hct6tMG9K++h2OH+xicSwH99PNF+OaxTKGU/U6bAF0U0O/i8c0tVpz4/ly8tW4FPuoslgH68e2J+HJ0Pg41VeDRsjbcuXAAd+RuxoGibrzfVoovR+cLfufjmQzQaV/2l+OZAhSKvcQU0D8fWChsE2GRltRTyP7KnyGUY4uApix1plAvhV0G6Ao4lYKsWv+2MvuthG6pCrsUxJVZ+pDScxU19akAXVopoOxFjxTQledA1QddQ8X99A8JzuyTAPodtqkBPVKROGkG/TfRk4A+hc0au87iNVa6sOgxG0MH9Itt6IAuGYWFhbLIy8sDz/NwOp0oKiqase9RewlSjubmZqxatYr9+5EjRxAVFYXf/OY37G+ffPIJTCYTHn744Yi/e7qALkCKlsXYzEcx14NYbrHmdkGVXV0VuyXaH7ZkXp7pFMJu9WoqrRsMZqQ5GjSBv5jrUf2s0cihjOtH15yAKvA77Quxc55fVVzPbvUig6wVxe/k591ijtfsQa/gBpHPd6r2zhsNNownBDWs1Cwo4/rR6JhQnY8tyoMdqYEQJf48vh1uUopGx4TEBm1y+3JuCAV8l6xcnEY5N4As0iTr3TYYzEggFcwPXa1XvoTrRaNjArX8mHiPTJ6fYq4HScSHewt6QiodCvmNTKztas/kPWKL8qCGH0P3nCAquWG80bBStrCRRZpwtcePPL4d6xwTsrYJNymFx1GDGn6M6QMoz89VqQGmSfDP+v+PHhd7nN1L0Gx6Ns00oO/LGmUl7kpAvzFjDHct6hN6wRWAfvTIdsFa7b1WVUD/5rFMZm0lA/S7Cb79mRUnd7lwcHUt3mz0yQD9+PZEHPteKj7pLsRr9VUM0B8svgwfdizBke94GVxLAf2z/jwc2TKPAf6xbckMsCl8U0ik22mmVNonTf8uhXH672qAriaOptbLrRRYU0K3FNDVsuTKjLkWoGuVmivBPJxgnJZAXNgIA+jHr0zC1zvipw/oKiXu0wZ0hUgczaBT6z5NH3TJvaMDuh46oF98Qwf0KcbRo0dx6aWX4he/+MWMHXOql6DPPvsMFosFv/rVr9jfHnvsMRgMBnz11VeyfQsKCrBz507NY50+fRpHjx5l8dFHH2E6gK4EocjCEvYzV3v8mlnwcECsBeYmoxMbQkqfJyOelIfAIA3Omq7p035VagBuUhqSqTYabLBFeURBNuXnBBsyrQqBiQTBHzs0a27F0FxBvT10PoI12jUq541ai6n5qBuNHHzcMDyOGtUStgpuEAtIa8hcLeZ4DM0Noi9OmI+0DJ7aoAUTlQr4VpiMTsTxJWgg44rFAGH+W5KC8HHDYpn65P1hNNiwJUn4LmLLZvOhSvUmUywTdZMK/1HLtj1pE0hzNMgy/0Yjh8uThVLz/fNH2DUUFgus2OUVPlPIb0Q1P8rmk8e3Y2tSAL/ME8C6e05QUGcXleObo/34fUk7s3Er5DcKyvFGJ8q4fhTyG7E1KYBUR7V4foT5C0J3F/oBrMeFj5l7CfpXfTbNNKDflDmG/VMA+ukfROPoX/2qgC4tbz/xZg3Lnn/7UPIkFEkB/TYrvt4Rjxcq1+Dp5U2hgH5lEr7yZ+DjriIG6PcW9OD9tlIc2TKPlSNTQP98YCG+HJ2PY9uSmUWbDMC3zMPxK5Nw4vtzcWKnGye+P5dtP7YtWQDI7YkspIBOs7/KrDoFXiWYKwGdAa8KoEshfTqArszGRwToGllzLcG4SAFd2Z+uVeIuA3S1EncK6Ldo26wpe9CPHd8dCuhHtgsLSWF60NUy6PSeotdaen11QNdjpp9N+piZoQN6BOPPf/4zvF7vjB1vqpegG264AXPmzMGpU6fY3371q1/BarWG7FtTU4Ph4WHNY/3bv/0b1HsIz18PegyXr1mibjBQSAoFeIs5XhNs7VavZplwAqnQhHePo0Ysu1a3PFPrW+as6aLdlrpF24aYALPjkv7dbHJhW0pAdfHBaCTCXFTmSW3E1DL8GWQtMsha+Lhh2Xx4WyYrLRd+n/x8JhEfsyRTbnOTUsRw+SGK7yZTLJKIT4Bvo1PuUS7OfzxB2wbt1/m9iLIkyralORqQ5mhg86fzofPPJi1oIOMhvfDJpBI75/lRxY3IzlsuaUMCqUAstxjDc0V4Fs+LyRQLr6MO5dwAsz2jCyZGI0Ee344bM8ZQwQ1iSFKhUMkNI56UI9VRjfsLu1n5Pb1HtiYF0BETwL6sUWbjRkXyqJ/6L/P62X1mNBIkk0p2zyr93vWYzTGzL0H/is8mNUC/KXMMe7NG/2mAfvTYNYK12nutIYB+6uAywfP8Niu+vdUqB/Q7bTizz46/Di3AgaJuPH5JKwP0vwfSWQb7y/FMfNRZjNfqq/DMinV4zteI49sTcepaJ07tiWWATvunj29PxKk9sYItmwTQKZif3OXCyV0uGaBTaDzx/bksq87AXdo3LSl7lkF6GECnkKsEdK0sulp/ulqfeaSArhSAU5a2a5W6K63WVAFd0p8uVY1XVhMoAT0imzU1QNewWTt2fDdOnN6Pk9/cghOn908CutRmbSpAv94xpc2aDuh6nI9nkz7OfeiAHsH44x//iNjY2Bk73lQvQQsWLIDf75f9TeslaPXq1RgZGdE81rlm0P+ZwVnTVe22popw1mNCD3IonOeSNk0LrFhusUbZuwXjCdoPsihLouox60UALeF6VT8n/ObQBYt8vhMTCUFVkbg4vkQj829FjyuIPL49pJfcYLCgL04QPVNWBdAybfUyeDOCicGQ+XPWdDSQcc355/HtqvM3Ggmu8fiRRHwqOgVW9LoEv3Vle0BnbACtTkH4TtljvyEmgCTiQwnXi1p+jM3HTUrR6vTjxowx1JPxkOu8NSmAvrggW2Sg2/ZmjaKaH0U5N4D1TvkijsnoxM3zR+B11MmOWcB3IZe0YWiuMP8YLl+3WdNDETP7EvSv+GxSA/S9WaPYN8OAvjdrFHuzRvHr/F5VQGe95zTE7PmZPy4UoOonoYD+zX4bDm8swJPLWmSA/ll/HstkKwH9/bZSHL8yCaevdzCg+npHPOszP7HTzdTAKaDLyqkllm0U0FmI/y4FdArl0lADdDUop4AaAuhTlLmfC6CrwbMWoGvBuhqcRwLoauJ0WiXu5wToT+aEBXRZBl1cOAoBdLUe9AgA/cvxTHTN0a5A1GO2hA7oF9vQAV0y9u/fL4t9+/bhyiuvRHJyMjo7O2fse8K9BD311FMwGAx4+eWXZX8/2zJC5VDrQVez/poq4km5Zmm4dlhw32J1hfV4Uq6ZsR6eG5SJiNEwGmyaom8Gg9AHrQbvblIqWHQp+tXtVi/sVi92zlNXmN+aFFCZh4X1TauV5ieQCgy41SG7mOsJeTBSm7IdqaG2aXSOQi+0fNHBaLChM1YQNwu9noJt2tDcYEhpvZuU4vLkgKrN2mi8AK7N0fJ+ebPJBbvVi93eiRDleqrSfpXK/F18MVNUl86Rs6aD2LJxf2E38vlOSTk6hzRHAzhrOrYmBcS/W9jvjeHysSM1gAK+C31xk9UA8aQcVksKbp4/AmLLRpQlkV2bJOLDUq4Pm91BPLSkgwm92a1eRNtz8LslnbgqNYBqfhQWsxsWsxvJpBIuvhg/z+tnyux0gSCelKMzNsAU3U1GJ2xRHkTbc2AxuxFtz8HOeX5cnqy/AOlhxtm+BM2mZ9NMA/qNGdqAvn/+CO4t6JEB+vGTNzBrNSWgnzq4DN/+Z6IAQPvsk4AuZi5P7p6DV2qrcW9BDw4UdeOJ8kvxTks5/h5IZ9BMAf3jriJ8PrAQx7cn4vQPonFmn30SqMQs+Mndc4Re4h8SGaCf3D2HZdRP7YmVA7rYA82y6iKgyyBdAepnC+jSknO1snEt4bep+s6VodYHrgR0ZWZbFc6VInCSOSsBXemFrmrrpgD0mfBBpyrumiXuU4jEyXzQwwC61GJvstruQv/3UY//bc8mfZy/oQO6ZKSlpckiIyMDZWVl2L59+4xa3IR7Cert7cWSJUtC/k6FeO655x72t8OHD8+ISFw4RfXphyWslZlWdM8JhmRFDQYhy6kmGGYwCOrZaqJoBoM5bE+6AMXqGWut8nQ1OzMhrJrfVU/GVUXraKZa7XPR9hyJ8rg8Wp2CYJlSRK+Y64GblKKKGwn5TC5pQzwpD8kem00uVHLDaCDjIeXXG2ICWKfS024wCJn2JOIL6elPIj6kORpU7NWs2JokLByoWa81R/tRwvWGLG5UcINwk1Jc4/HLFNyJLRs75/mZFZz0M1T0rccVDBGhG40PopDfiDtyN8sU7Gv4MdxTsAklXG9INr+E62VVDM3RfgbzRiOHDvEcTSgqKpqj/eiMFWzo4kn5WVWE6PGvHGf3EjSbnk0zCej089MB9KPHrhHgXCxpp4DOMpb3xeLMjzg5oP/MijP77PiosxgPL21ngP7kshYBzsVMtxTQ/zaSjePbE3HmR5xgiyUB9JO75wjQ/iNOAC0JoJ+61sky6kwETAT0k7tckxl1Cu0SQNfKpE8X0JUCcVqAruWfLrVomwrQI+o/l8xXmT1XLiaoWcbJfNAV1QDKhQGlTZ3SZo3a6E0J6IoedCWgq4rEKQFdxWaN+aAretCl7Q3KHvSv/BkgtuyL4L+Pevxvezbp4/wNHdD/SeP48eM4ePAgDh48CIPBgL179+LgwYP4y1/+wvY5evQoeJ7HT37yE9VjjI6OIjU1FX/4wx/wpz/9CatWrbrgNmtqoZbVFvqAp9+Haza5EG3PCfl7BTeoqpBuNHIwm1ya2f31zoBq+fr16eOa30/Fz+TbLIiyJAorz4ost8kUi61JAREs5Znuy5MD4KzpIb7otO/5qtRQaF/K9WnalG1LCWjYuLkRw+WH2KZRH/l4Ui7zR6f7d8bKbd+MBhvMJheslhRUcINoUXiYm0yxuMbjD7F9s1pSUM4NII9vR5qjgS2+UNuxQGIQQ6LHOD2fFnM87Favqm1dlCUR4wlBRNtzkE1a2MKH1ZKCbNKCdY4J7J8/whYvTEYnTKZYlHC9GJobhMdRA96WCbvVi1huMSzmeBwo6kYst1i0ChR+E7Fl44oUAbDvW7yRzTvKkog4vgQv16xGPt+JeFKOOL6E9aNz1nQEEoUKBdpPb7d6YTG7sS0lgEJ+o6rGgB6zLS6+l6CL7dk004B+bdo49mWNRg7oR7bj+IeX4eTrq2SAfvqFEnz7f9w4ti0ZJ3e5JgH9ZwIQndoTi3dbL2GA/mDxZXh+ZQPLkJ+61skA/St/Bk7sdAviYT8RxMPO7LMzEKcLAN/stwl+1uLfaTBolwK6JGRZ9bMEdC0FdBmgiyAbCaBTSFcDdGWGPRKBOBmIawB62H55ReZfC9Cl/vFKQJcK7U3pg36LQsVdA9CpSJyqD/pUgH5HKKDThSF6zZWATn+TDuizPS6+Z9NsHzqg/5PGE088ATVBnN7eXrbPrbfeCo7jcOTIEdVjnDp1Cn6/Hy6XCxzHYe3atfjwww+nNY9/BqCrRTKpVM9OG2yqmVWDQbDj0ip714o4vkRU5Q7dpswi08jnO1Wz97X8GKr5UVWbrChLombfVqVKT7bJFItCXr28n6qpa9mOCeXb8s9kkaawtmnrVGzTCvguJJAKcX6Tfye2bFztUbd964sLooobEW3f5Nt83DDKuYEQgbcs0qS60GAxu3F5ciBk8YT6nLc6/Uw1ne6fx7ejhh9TPQfJpBI3ZIyFLE7U8mMo4LtQwQ3iao9f9j1eRx0eK1sv9pWL5fJiRrwl2o+7F8n77Fui/eiIEfrUhYUiC4xGDlXcCMq5AaQ6qvHLvP6QLP//Z+/tg9u4znv/XWC5wO4BQQiEwFcIfBNEUaIks5RUmgpDmZeWqlcOLUsKJZYUJb4TqGPXrmPFGms0cu04duXROInHSca59bS5GY/btM24uZn8Opn+0lxPmqa5qX9pmtw00/YmdnqbF1vWa3u/vz92z8E5e3YBkKIsVtgz84zJJbA4uwtr93Oe5/l+05FdOLNmwbMSwY9yjZX3ELTS7k1egP782mk81zbjCugXlwDo1H6NAboNRUyEiwP0y2/eY2XPP18pwPWNF3XceMmCoX+bWYu/272TAfrfDv4XXD67CtcuhHHt4wYD9Hd/p45tp33sFNCvfdzIZ1tf0BmgUyCnf2fQboP/lXMxAdSdZe+FAN2p4s4gvRigu5SKLwbQ+ew59UN3eqoL+3YDdFrKzgGnlzgcg3WXXnMBzl361HlA563digL6UxEhg84qLl4xSwL0dy8/LQK602aNAvprcclmzU3F3QnovIaAl3uOH+USK+/eVO7DB3THuHLlCt544w386Z/+Kb74xS8KcSeMUgE9EIgVEF9zU0RfauiemcUMGXLNuidJjyucZmtzrll1RdGgKiHX0nFqG+bspfZ6vaJoGFmVFYCMRmW4HUfsHmXn386sWXDN3A+YM7btmDyvKqNTyrQrio5gIG57jwelOU+tzmGTOSJs14JJnEzIauL09dFwh3A8qmpgPTmEbmPMcZ4thfLPrj+JfmNK+FtAjUJVQniwLosa0iucT1U1cF/UOmf8Io2qhFBtduPBOqdfvHWOq81uNEYG7O+hxl5Pe9zjZpe96m/ZuJ1Nz2MPmRM85FWVYCyew1e259Xf6ZwCgRgmEjn0GBNssSEYiCMYiMPQm/FU8xz7G7V8U1UDTzbPocsYtTL59nEbejNmkjnM11h2cflqBx3ZWku0j7eI86NcY+kPQeVyb/IC9Itrp3HBBdA/sZyA/vPfZgJcPKBffeMuXL+oM0VvIfv9SR1Xzkfxr5PrGKD/9c7d+PlCC65+jFiw9FzYAnRbtO3axw1LBf4zIqBffz7E9ukE9GvPhS2IvyACOoN0vh/dIRznCug0o7ocgO4hvOYF6M7ydjdAd4N/XiDOmUF3eqG7qdC7lbt7Arrj756AbtvZFc2g84BeLINul7i/e/lpXLrybHFA/+OEBf0egO7mg+6shPABvdzDB/SVNnxA58brr7+O1atXQ1VVKQKBwO2e3rKMxWXQ3UFcVt62QtcaXJTDrf24lakvPTTXuXmV0K8jw1K/Mt3PuSb3DOfk6pwLHFu91k4fb0Wx7NwsUTRxDhVaracA3joy7GqDliQ9OJuW55UhQ9hpTKOe9AufQ8vVrexzfnsgEEMN6UXWtk3j99VjTGA0Lr+e2qxRIOU/e7txAuvIMINSRbGE36LhDryycRzdxhg7TurBXhlul5Tc15NDaCH7MBbPedqyWUrs+fmaoVaca5qHrjUwT3J6Dcerc9hN5jgbN+v7Vm1245mWWdb2QF+/3TiBxxqz+B99e4Xj3GqMo9M8ip8c34QWso99hhlqxYvtp9BpHsVcTT7D30YOoDEygPursszWTVUNhCpSqDa7sY4Mo9+YsjUedM//n/wop1jaQ1A53ZuWC9CfabEE4s41zTNAf7J5DhfXTrsD+lunLHE4J6B/bxDXvrGZlbBLgP6Cjvc+uho/O9XOAP1/H9uC68+HWMkxBfQr56MWqFHldw7Qr7+gs4w822aL0UnBl73zkH4TgE7DCegUdvnstSfkusC6E9DdhOJ4RXevfTkB3QnLTmE4L3s4Pmvs1efuViEg2axxgM7aBSig21UMS+lBdwJ6SRn0EgCdlrm/83C9DOh+Bt0PH9BX3PABnRutra2Ym5vDW2+9dbuncsvGrSxxJ6GMhyK8LpVBK4pVcu5mQxVQo57Ca0eq3NVGO82jriXkqhLCA3VytnmTOeKeUVdCkvAXjbF4znUBojEygMdTC1L2fmSVpfruFOGrJ/2sr9y5r4mEpZzuPI97I/OS3ReFU6/Xu9mmVRmd2GFMui6yPFSfda1M2GlMYywun5PJ1VZW3tm7ttOYRg3pxVg8J2Tmw3oau8kcsy/j3/NgXRb3RbPYbpxg19fQm7E3Mo+JhNUzz7cazNXk0GWMYh0ZFloaKBC/kJkSBAQrtFr89233o9sYE75bR6qsz3y6ZRbD0fw1DFWk8EhDFqdTC2iMDKaQKfAAACAASURBVAjf0wfrsug0j+Jc07wgArjJHMGn1k0iQbahKbKHXV9VJXiubca3XPMDS30IKqd703IA+oUCgE7h3Qnol354EJd+eJDZqV1+8x5cfvMeq/f8tTh+kW3GD4d6GKDTjOj1izouPZZkgP79/R/ApceSFmi/nAf0qx8jFrS/pDPPdAroLD4jZtWvPx8SwhXQqVicE9A5b/SlAjoftxLQnWJxpQI6K3e3Ad2p6O4G5k5rOKHnvUB5u1PFnZ4nHtCpUr8roNvVEQKgvxb3BvRffmRxgO7mg25/L7wAnT8Xfg96uYcP6Ctt+IDOjcrKSvzwhz+83dO4peN29aC7hRZMuqqcUwE2t/e4LQDUkF5X2zRDb4auNbiWiacju1xt1iq0Wpd+dB1xs0uw+aIRN7sQCMQkcK/Qau0yZ5fXq1HX1+tag9QHriohFxs0K6ZcbNMUJYh0ZJfd159/vRZM4tHGLEIVKWEhIWZsRgvZh53GtPDZWjCJUEUKjzVa5ef8okjc7MJo3BJe4z+3yuhkCxX862PGZoyssoTf+NL3aLgDNaQX+yPzMPRmds2pjdsTto0bP68+YwpHqrII62nrmtuVAdFwB55fOw0tmEBAjbJrWEf62EICFXVTFMteLhUZxEvtpxAMxEFCGdSTfoQqUoibXfiTrg/BDFlZhQqtFpXhduwwJvFAnVVZQa95U2QPSCiD801zCAbi9jEmYOjNqDa7MWjOooXsQ2W43eO77kd5xdIegsrp3nTbAP0He3H5ux/Ele/sEAD92tc34trHDfz1zt34wcG784D+gpXtvv58iAH69/b24f9MZyzY5lS1KVjf+GzI2v6KmQd0WupO7dp4QL/IxXIDuqMH3RPQ7cy05HvuAeheSu2lAnpBSHeoqZcC6E6ROOkYeDE4D4E4vv+disQxQOd60BmgcyXuTFfgZgH90nkZ0HmbNV4kzgXQ6bV/5+F6/OrBlLR48Xq33JrnRzmFD+grbfiAzo0TJ07g05/+9O2exi0dKwXQda1hUSJrWjCJQUfZM42JRE56vaIEscU8LkGkolgZere+707zKBojA66vdwrZacEE7jVncV80K5W1U6X4FrJP2N5GDrj6jaoqwaONsrp8C9nnqkavqkQqAadxrznrWmFQT/olS7qmyB483CDPf39kHqnIoOt8GiMDtpI7Px8Du8kcBs1ZCUL3RuZdqyHqSB8eachKr9/tYeNWT/rRQvYJ1y1DhpCO7MKRqiwGzVkG8qpKcKQqi+HoAh5uED97anUODzdkMbIqy0r6AmoUD9ZlMVeTwzoyLFQqnExYSvN9xhTmuMqKVGSQeZ+LGgoaHm6wvNnpcauqgT1kDjuNaY8WED/KJ5b2EFRO96bbAehXzkddAf3qt7Zb8PS7lfgffXvxg4N34xfZZlx9KsLAmgL6v06uwzu/3Yhrz4XzAPZf833qNz5jQ/vnK/OATkvdafCA/kkHpN8CQKf9005AF0rGHYJiXoAuibtxgP5/pjO3BNCdnuReZe2eiwsu8y8E6HQ//GdSSC8K6Be5KgmXEvdr39gs2qwtEdClDDpns0avuRugf7P/N1bAv49+/Ge7N/nj1g0f0Lnx3nvvYc+ePRgbG8PHP/5xPP/880LcCeNWAbqzx5lGC9nn2tukqsS17F1RgoL9V/71huT/rSohz0y7myq7ogRxNJaVwJm+3q0UfjjqLu5GQhlpPoqiQwsmBDs0GrrWYNtuiWJ0u8kc0pFdQik4FSl7tDHreL3luZ6O7BI+m75+IpGzt2vCfB6sy8KZfX+4gWbTk8Ic7zVnpYUQuv/TqQVpPkeqrIUF5/zDehqTq2mJuzifh+qzzJaN2rg90pBFjzEh2LjR+fy3Tb+JsJ5mAK4FEzjfNIewnoauNXCLGDomEjmsJ5YgXIJsQyAQQ8zYjMpwO843zSEVGUQL2YdQRQoBNYpQRQp/0vUhJoioqgZ0rQGvbj6O+6uywrkz9GbcX5XF/7vjgGCVpwUTeKp5DjuMSeZJrwUTTByPqtRXGZ2uiyd+lFMs7SGonO5NtwPQf77Qgqtv3IUr375bAPTrX2nGrx5M4X/uuocB+i9/K20Bt93ze/35EN776Gr828xaC87/gODGqzEG6KyvnG7/QtR6Ly1z/69hEdi5sncB0m8FoNvZXx7QGZy7KKR7AToP5vx/eeCmZe58v7kz3PzS3WzWnOXmSwZ0LyB3K313gXOhD932QL/0WBLvnUmIJe4XSgT0N+/x7kF3A/QSStwvn10lAbqzxN0HdD98QF95wwd0brz00ksIBoOIRCJIp9Noampi0dzcfLuntyzjVgG6m3L5coabRVqV0emZhX885W7d5habzBFXizFda/C0RsvVyjA/Gs9JtlphPY0Wsk/IvtLoc9id0RgwZyRRvQ3mYSTINknsLlSRwsMNWVcRvvuiWem8hSpS0oIDCWXQGBnApIuV2g5jEgPmDKLhDtf57HUcb6gihUcbs8LrSSiDY6tyrvM/tionnYfKcDtSkUHMJOX59BtTuNec5RYENPQbU+gyRlFH+nA0lv8+9BlWH/rr3YeFSoRqsxuvbTmGTeaIDeD56otnW2cd50HHQ/WWMv8TTLhPYyXyg+YsdpM5rtVAQ58xhf2ReTRGBnCQqzbYYh73XMjyo1xiaQ9B5XRvKhXQL3JAzgP6i+2n8EJmSgJ0us8nbXV3HtB/fLgbN768Ble/tT0P6N/9IG58eQ1+dqodX//Afgbo751JWMDNAfrlJ+IWnL8csiCcB3QKY3Q7BfRXTAuq+JL3z3Jl7y8VAHTqg+4E9PPRkgGdgTkH6EL23KGKLgG6i72aW2k7BW6+F70QpBdUcy8E6NwcC/Wfeym4FwN0Zzk9DXoO+XNMAf3K+agM6LRqwiOD7qnivpgM+kWdqfxTQHdTcfcz6H7c7L3JH7du+IDOjZqaGpw/fx7/8R//cbuncsvGzQB6hVaLNnLgpv8hsEqq5ZL0sJ6WxMNouFukycrojZEBAdL4eLpFLgv3slk7aQuTOcvCa0ivAF1WWKrybiJght4slamnI7vQZ0xJixqqatjAKM+xMTIgwd1Y3GnpZVUVpCKDzFudn6OqhHBmzYKU4SehjGQbpyohjFfnpOsRCMSQrc1Z8+HK01XVYPOhx6sqIUzaNm47jWn2et7GTZyjZWN2rmmeA14dgUAMf7BxDNuNE8I5pv35240TaIrsYeXjFVotTqcWsJ4cYt+RgBqFqhp4umWWu66Wp/krG8exh8zhfrtUnr5+f2Qe/cYU7q/KojEywFTig4E4PrVuEtVmN7aYx6EqIehaA/7oLgv6eaE9VQnhkYYs5muozZ38nfWjnGJpD0HldG9yAjoP0zygU2h3A/RPrZvEs63ugE73WwjQr3xnB66+cRduvBrDT8c2MkD/X8O/bkHQF6IWYNmAfuV81ALrLyZx409rrd5iWsr+immB+R8n8oBOwdwL0D9TIqBzSu5ugP7emYQA6LxA3GIA3QlzSwV0p2DcosvcHZDu5nvOb/dSb6d+6E5Ad36uE9Al73Ub0N/9nbo8nH90tQzovIo7tVn7QtT6Tnyp3r3EvQCgv/ujYRnQ6ffxkyKge/mg03NDj80H9HIPH9BX2vABnRurVq0qGyGepWfQS7eKcitVVxQr++xV3u7cf6giJXhn8/Fc24zLds3Vbq2NHHDJkms43+TMzGvYYB723Efeyiu/vYXsE5TEFcWC3iqjE480yMrr68kh11LniUROKs1fR4ZdsvU6miJ7pDlGwx04s2bBsnvj9t9C9mGDeRhdxqjwnmi4g9mg0W1xswuV4XZMrRYt2OhCxlxNTlrM2GIet+3H8q/vMSYwXp2T5hg3u3BmzYJgb5YkPdhqjGOrMW5Zz9nvWUeGsdOYZhZ29PXUz9yaowW86cguGHoz0pFdOJueZ7Cuaw1IRQbxBxvHrHPDLXKcTORwNj3PzpeqGthpTCNDhvDnW63vAD2PbeQAPr3+JA5WLiBDhqCqBG3kALYa47gvmkWS9LA5hipS2GlMo9rsxtFYltmvpSKDnlaAfpRLLO0hqJzuTU5Af65txhXQn22dZVDuBui0lL0QoD+/dhq/v+EE/unIr+H6V5oZoF/91nZc/0ozfnaqHf9z1z34+gf246937sY/H+2y4Oq1uAVYnw0xsbgbX4hacM4D+mtxC9q/mBQB/fOV1n8prPOAzmXRKWwVBHQKYrcC0B1l4wLoOj3KXdTbC2XRnfZqi82iS17oDnG4UgGd/wzq0+5ls+bcv1sGnQd0V5u1IoB+sxl0+p1x9qAXAvR/m2v1Ab3swwf0lTZ8QOfGAw88gPPnz9/uadzS8X6KxHmBtVv0GqckmzJFscqdS7en0nDao7R9hzEpgeXU6pzLZ+qeYnS9xikpA3oyIUOoolgq4c5FiC3mcbSQfZLFWUCNSqX6WjCJ4eiCYDtGY3K1nNlWlDy48tu2GuOuInrj1TnUkT7h9ScT7rZpA+YMakivVMVg6M3YQ+bs47H2X2V0ot+Yci3fn0hYyu/8/qmtnNNCbm9k3kXIT8NM0uox5xcy6kk/zjXNI252YasxLlzfOtInzPt0agFdxiiGKhcE67he4xSzdOszphANdzA7uCfS89hhTDIHgYAaxVxNDjuMSWneY3GrlP9kIr+QMRq3hOYerMv6Je5lH0t7CCqne9OtAvRnWmRAv9A2gxfbT+FfRu5yBfS3TmzAd+4dwNc/sB8/PtxtlbH/ccIKCuif1HHjtTiuf6XZgiUK6DRrTqGdAjpf6s4DOu1JdwK6RwZdgHQO0K+ci+W9r88k8N5HVy8e0Av0dZcK6IXK3N38z70A3c2n3AvQeSh3U3N3ArqnwJ2zR71AaT3fg+4mEufpg/6FqLVwYwM6VXEvNYN++bsflDPoL5cO6FSZnx7fPx35NVfrVz/KJXxAX2nDB3RuZLNZVFVVoa+vDwsLC/jwhz8sxJ0wSgX07caJkv/HdtpqFQo3lXRFCdoZTxEirVJsOWPfZYxKYBSqSCGspyVBOlU1PDLtQTuj7vaZmjS3Rxvl0vNQRcrV5szqfxfnTS2+nIC/h1jCZbx9nBlqRSAQkwTwKsPtOBrLCq8NqFEYerNLpj6IRxqyCAbiwgJC3OzCkJ0F5l9LQhkJzKPhDtSRPisTzl3fYCCOh+pF2zQtmMTp1IIthJdf9KgyOlmFQb6CQcNQ5QJ6jAmhqoHazD3ckLeVC+tpJuA3V5MTyuerjE482midD0uUjaDK6MTTLbPYYUzi2Kocuw71pB8HKxdwNJZl57YpsgdVRieqjE586deOsGOJm11IkG343IYTCAbiMEOtiBmbUaHV4pEGqx+dLhAE1Cjzj8/V5thcwnoam8wRjMWtbQE1ikAgJrUS+FFusbSHoHK6N90KQH+2dRbPts7iaVsorhCgX/3Wdlz/WjtuvBYXAP2nYxstCKIQ/oWoBVqfDeHGF5O4/tVWEdD/tBY3Xm/EjS/V5wGdgjsP6UsB9OfCpQO6RwbdTcW9EKBLfehOQHexKCsG6F5Zdh6YvQC9GJQXAvSCAnFOlXeX3nfegs4pElcI0AWROJpBd9isOVXcBUD/5UcKi8S9LNusufWgUxs95/V7zOU5x49yCR/QV9rwAZ0b/f39nrFz587bPb1lGbcig54kPSXaR2nIuoirecWxVbmSbanWk0MlC9UF1Kir9ZeiBO2SZEPa5tYzv54ckqoEtpjHpSz2duOEq0J8qCIlZcIrw+14rDErebdbFQZiBcCAOYME2SYJ2cXNLgnA60gf0pFdkkWaoujYG7EyxHRBoJBt2h4XG7SDlQuutmxuNm7rySEkSY8kFkcXQepIH9umaw04nVpwhdqTiZwkUPdQvSyKd65pHgPmjCDS1xgZwE5jGo81ZnGvOcvmPZPM4dnWWQxH+T59HVOrc+wY90fmoaoGjlRlsTcyjzrSJ1RE7Le38TZreyPzqCf9aIrskez6/Ci3WNpDUDndm24G0Kmy+00B+ht34caX6nH1dyvx07GN+M69A/jHQ9tw+QmrrP36V5rzgP6FKG683ohrf9mB63+xNg/odmb0xpfX5AGdlrm/Fs+DeiFAL6Li7groNpy/L4DukmV2iqstBdBde8C9rM5cAN2r5L2Qgrt0HHyPvVffu1PF3e5Df++jq3H57CpZxf2FwiruV9+4C1e+s8MqcX97xl3F3QZ0lkF3AXQvFXfmg+7IoPPn2wf0cg4f0Ffa8AG9zMb7VeJuZYplqJVep4Qw5aIe7hUX105LZcJOmKVxsHIB3caYsE0LJhAIxCThtrCelgTaVCUELZgUStVV1WA2X87PO5uehxlqFRYVdK0BleF2V4E3av+Vn1uSZWzptgqtFi1kn9TPrarEhtl8pj6gRhEMxPFEel4oAQ+oUZxOLQiZd0XRsDcyjw3mYUGQTQsm8GhjVhKSS5Btkm1aKjKIY6tyQhUBFVF7tFG0cdOCCTxuZ9jp+dGCSYQqUhiqXEAN6WWaBRVaLUbt80PV4Cu0WsGnnF4/XWtAhgwxMFYUa+Fju3EC95qzWE8OocrohKE3IxiIQwsm8cW7RthnacEkDL0Zf9g5hlRkEJ3mUSvjHYghrKfxqXWT3GKEjgqtFs+1zaAxMsCqIrRgAuea5tFnTFkZevs66FoDU3mv0GqZtdztvxH7cfvCfwjyGssB6BfXTuNT6ybxYvupooD+vP2eT62bLAroV3+3koEUA3SaBf/yGgvQv9aeB/LXG3H9K83Wa52AzmfS3w9A50rcXcvcvQDdIzstKaJ7lLcvFdALZbb5EnUeyCVA51Tdi4nbeVUCOO3V6PuXDOjOEncXQGc96IUA/e2ZvEhcqYBufwe8AJ2eY7dKQT/KJfx700obPqCX2Xi/AL0psuem+m0bIwNIRQZLeq1lfyUuBmjBhGsf9G4yJ2W9vWzWKsPtUsYzQbZJPerRcIfHXDUXezUdvcYpYZuqGthqjONIVVaqGBiNyz3uPcYEMmRIUAvvNU5hkzkiqc6nIoNS2X8bOYC42SW1CdCecn5bqCKFFrLPXkTR2HnxskEbi+fQL5x3DT3GBPZG8osGqhJCtzGG+6uyUmVBr3FKsnsbNGcxXi1/Vj3px9Mts8L3rIXsw/Nrp4WS/C3mcXx6/UnsNKaFfvRQRQqvbj4uVANEwx344l0j2GIeZ9mEuNmFRxosJXe+b327cQKNkQHHObOuea9xip0fVQnhaCyLGtKLk4nSF6P8uBPDfwjyGssJ6C8tAtA/kZnC/z62xQL0b3Zbfb1/nMCV89E8oH+M4PpXmnHt6xvzgP6lelz/Wjuu/WWHtf1r7dbfXm/EjS+vwfWvtoqA7syiUyu2RZS4M0h3AvpTEbG8nReJcwC6ZLXGQfpSAd3Zx+0G6UsBdC/1diekO4XbCgJ6KRl0Rz+6F6D/6sEU6+MXAL2UHvRCgG73oF+68qwroF/64UG5B90B6Fc/RphoYKEedP5a+YBezuHfm1baKHtA//CHP4xLly6xnwvFnTBuBtCd4maLjd1krmRoj5tdUn/3wcoFSajMAjE5Ux8IxASAVZQgYsZmF0DS0EYOSOXjk6tzLpl5dxG6aLhDmmuneVTK3vcYE1hPDjmsxay5Ou3rzFArRuPiXEkog+Go3D+uKiHpWFUlhAfqrOw2n7XN2gr6fJ+4qhq4v8pZVq/jZEK0TVMUHfM1Oel4eds056LBOjIszHfQnEU6sgstZJ8wV11rwJgtpqYoOlQlBBLK4EhV1j5f1jWmveSPNmYRN7vsvnnL5u5seh41pNc+DmsfT7dYn0fPQTAQxycyU3isMYumyB7mTR5Qo7jQNoNUZJAdg6oSPNMyiwTZhqMxqy9eVQ08kZ7HVmMcjzZmmap/QI1iu3FCsFlTVQN9xhSaInvQb0yhyuj0VdzLPkp/CCrXe5MboF+0y9eXCujPtJQG6Ne+sdnqJf9sCJfPrsJPxzbil7+Vxo3PV1pK2w5Av/aXHbj6xl15QP9qq5Vlp0GBnQK6sxe9EKC7ZNA9Ad2RQXcCulcW3RPQHYDrqeRuw+5iAN2tpL1UQPfKonsBumdZvoe4nReg8/soCuhnEnIGvYQedEHF3c6gLxrQPyv3oLuJxPE96D6g+7HYe5M/3p9R9oDe39+PX/ziF+znQnEnjJsB9FKF4BbzfgveSrNus94vvvbYqpwAe4piZe+dwG2FbMFWT/qlfnRDb5ay7JXhdhuwiDSnhxvk0ngLKvNzpbZcQkl6IIY60mdnkcXjeqhe7oVfR4alc9hGDmBvZF6ytLu/KsvKw2lYfu+ian2GDOGBOjFL30YOYIN5WMr0bzXGsckcEbbFzS6ca5qXbNOqjE57McTaVkf6UG1222r1+QUVLZjAg3UWbNM5hCpSOJ1aAAll2DYz1IoqoxOPNWZtSzRLEK4y3I7x6hx2kzl2bVQlhAfrspb3ur0gpKoEG8zDeKZlFmE9DVUlqNBq0WkexZ90fQivbBxngnsZMoT7q7J4qllcULovmrXt5AjoAkCneRT3RbP4/Q2W2j699vWkH2fT88ICUioy6D8AlX2U/hBUrvemUgD9aXt7qYB+vmkOTzXPMUB/tnVWEJaTAP0lnQH6tY8bVn/wt++2/m6XrlOokgD9a+1W8IDOZ9GLATr1QV9mQJfU3Pke9BIBnYdzL0AvVOZeqO/cqdzu5YNeFNB5r/ISAN3Vys3FA10qrV9sBv35kKzi7gLovIq7K6AXsln7jH5TgP5yx4Srm44f5RA+oK+0UfaAXm5juUvcncC22LDK0EU4PetSsr6Y2GqMS37iY3HZY3zS1WbNyrQ7ob+G9ErQ3m2MSa/rM6aQigxKcBsIxKSMeoVWKwnbxYzNUml+HelDtzHmWrIvVzXotnp5fpuqEhypyto+6BbEasEEhipFG7ewnsa95qxgm0bDrTR7crVsy0Zt0/ItAzpG4zlsMA9L53o4agnA8efwaCyLarNbaBmYSFjq7byA3FxNDo2RASRJj+BB329MoY0cENoQ7ota2XJ+23yNtbDDi8qdWbOAFrIPfcYUK2V/rDGLTvMo9kbmhXaHdWQY240Twvu3mMexjgyj35hCp3kUWjCJrcY40pFdGFmVZdn65fj/zo//rOE/BHmNUgH9fNMcE3hbKqBfaJvBC/b7GKB/tRVX37irNED/WjuufrPbsmSzy+Kv/WWHWO5+OwDdhnSnD7qr3doiAd0J54sB9EKgvlRAp5ltyZvcQyhOAnRnprxIibtb7/tiAf3Gi5wPuqPE3c0HXQJ0zge9UAadWvFRQL/8RByXHkuy60zF/9xaFJzVfH6US/j3ppU2fEDnxs6dO/HEE09I23/+85/fcUq5ywXoTpVvRdFdPboXE86eaUUJ4vc3yLZvL3fIn8NDnBUaakivXeIsLgS42aydTc9LWXJLEE58b4JsQzAQF4ArQbbZdl/5bHS12Y0jVVlJiXy8Wi6hn0nmbGG1PMjGjM1MdIw/pqHKBcHzm/Y5ryeHWDm3qhoYr85JNm5DlZZKudPGLUl6pMqDXuMUhioXhB79e81ZDJqzBW3TVCWEaLgDudqcIISnKFbVQq42Z3++df7byAFMrs4J86w2u3GvOSscZ7XZjfurLGjmz/tMMoc/7BxjIoAJsg0Jsg0vtp9ChVbLrgld7KCZeEWxKi72RuZtqzrrOqcju3BfNIvReM4WgkuyaoutxjiebZ1FMBBHkvSAhDKoDLfjdGoBgUAM1WY3SCiDmLEZ83bGXdcaEA13IEl6XJT0/SifWNpDUDndmxYD6BfaZpYE6DzYU0Cn5eo3Xm/EjZd0XDkXs0D5y2ssf3QK6F9ttV5LPdMpoH99I659Y7P1Gh7Qv7xGLHOngP6F6O0DdCec2+EEdLcstBegFxKKKwXQ3SD9ZgHd02bNA8Rdwd1RXs9/Fi8QR9sGBEB/KmJ51vMZ9CKA/u6Phr1L3DkfdCmD/vlKocSdfS+4DDq7xva58QHdj5u9N/nj1g0f0LmhqioSiQQOHjzIev8A4K233kIgELiNM1u+8X6JxPGhKiHJ/7xCq8V+h03WzYcmCZepSkgSGHOzWdOCScm2q1A4s9SKErTLt8VtbnZu1Wa31DNeT/olgbcWss+yKePK2jeYh5EkPZKdWDAQx05jWtimaw3SYgkJZVzL1NeRYSFDXEf6JFuwFrIPjZEBATA3mIdRQ3qlcxcMxIXMNp1Pr3EKBysXQMHcDLVii3lc+Jy42YX15JAgYldP+tFGDuAIdz4zZIhlp+m2LmMUqcggRlZlcV80yxY7HmnIYmRVFlOrc2wBhoQyOLYqZ4vB6ezaDNk97vy54EXfaOyPzGPeFoSj7QRDlQs4tiqHHcYkW6y4L2pZsu00pku2DfTjTo2lPQSV072pFECn8P1s6+ytA/TzUVz/aive+94g3vv+bgbo176xGVe+fTeufGdHHtDt7bca0D1V3KlI3C0EdB50nRlpAWZdfNDdALyULLqXUFwxQC/UO18SoLvYrvFw/otss6TgviRAfy1uiQ0uIYMuAPprcZZB50XinDZrTkCnfvY+oPvhA/rKGz6gc0NVVfzt3/4ttm/fjo0bN+If//EfAdyZD0HvJ6AriiZla1XVkITVkqTHzmLmt2XIkARGATUqlUsHAjGXbH7QVZ3dDLVKNmuqarj6bQ9HFyR/b6e1mKJY5d7OzH+2NidlpB9usMTY+HJ7XWtAhVYrZI91rUGwKaPbqF0Y3Vah1WKockHwXq/QanFslZih14JJNkc6z4AaxSMNWYT1NJtPIBDD6dSCZAn2mMM2jW5zzkdVQhiL5yQRuanVoq2cqhLkanMgoYwwn2AgjnNN82zugUAMFVotzjXNs2upBRMw9Gaca5pn3ystmETM2IxzTfNsjrrWgFRkEJOrrXL2GtKLsJ5GlzGKk4kc/nzrYdSRPpBQBnvIHEbjOXzt7iEkyDZml6cFk3h183EbwHVUCAyGWgAAIABJREFUGZ3QtQacTc+j2uy2rfis+WRr6XFr0IIJRMMdGI3nkCDb2PloIwf8DHpZx9IBvVzuTaUC+tMugP68A9CfbrH2wwM6zcDT931q3eSiAP3qN7tx+bsfxOU372GAfvWNu9h/BUD/aqsI6LyKezFAd1FxLwTofB/65bOrGJi9r4DuyKIXA/Ri29yy526xJED38FmX7OM8sue/fGCNUN7+7kdq5RL3pyJyD7oHoLupuEs2az//bbzzk/E8oFObtdfi1v6oivtFXexBpzZrnIq7Vwb9Zisg/fjPGj6gr7ThAzo3VFXF22+/jatXr2JkZASJRAJ/8Rd/cUc+BL2/gL68sZ4ckjLIW41x1xvLww1ZqWTdWgQQS9ud+1MUq5Tbuc2ZFVYUXeoNV1VDmksgEMMW87iwTQsmsZ4csvu7rfmE9TRayD7Baqwy3I560i/1gXcZo5h3sXFzqr/THnTnsXSaR6XFhx5jQvB9VxQLKp0LHW495VvM46gjfUImv9uw/MX5MnVqE8eXqe8wJqX59BlT6DEmhLaFfmMK95qz3IKEhp3GNI5UZYUFkiTpwafWTQoLQ02RPfjDzjFhIafLGMVXth/i2hI09Bqn8NqWYxjkyut7jAk0RgbwZ792lFU69BgTiBmbcb5pji3u0G1n1iywRYYeYwJxs8u3WfMDNwPo5XJvuhlAv9A2I2XQn2wWAf1c0zx73cW10/j0+pP4x0PbLJs1Cui2mvq1b2zGe9/fbQE6hfFvbcflN+9ZOqB/MblkQC9ks1YQ0J0icQUA3Wm1VlTF3a2PmwP0QuXuxbbx+3N+bimA7ma19vOFFu9edyegu5S38wJxniruhUTiKKBTkThHBp0XiXv38tO4dOVZC9DfPStn0F180K9/0gXQXWzWeEDnr+EPh3pwMxpAfvxnDR/QV9rwAZ0bgUAAb7/9Nvv93LlzCIVCOHPmzB33EHRrAN3tH3V5mwVDbtvJTWyT7avkbZqLkry1TbRvs2y7RKC2VLvF8nBrmyj0pkNViWSFpgWTEgzrWoMkPGfozVJ2vzLcLmX3VSWEpsge4RhVJYRJroSbbrMgXheOLVfLg6K1TfQk15hVW96WTWeZ78bIAANdLZjE1OqcMB9Db8ZonCrsW59dZXTivqhom6aqBvZG5u2y9/x1O1KVFRZIVNXARCInLIZQtXZ+MURVQjizZoGz6bOO40LbDGpIrw321nV7ZeM4miJ7WHZcVQ38YecY1pFhVlEQDMRxoW0GGTLEFiQqtFo81phFhgzBDLWiMTIAQ2/G1Ooc25Yg25jN2tFYFiSUYTZru8mca7WGH+UQS3sIKqd70/sN6J9dfxJ/t3snbnwxiavf7LZg+gtRXP1mN9790TDe/fFhBuiX37yHATsF9CvfvhtXv7XdimKAvpgS9yKAzuD8FgA6LYMuScndAehedmvOsvafnWqXAJ1ucwN+p8ibE9CdGX83kTi6j2Jl9G4l7/T9vJUbD+m8SBy1WnP1Qf9syLreDhV3rwy6E9A9M+g8oFMV96ci7oD+W2mpUoBeh/81/OvwAb0cwwf0lTZ8QOcGzVLw49VXXwUh5I57CFoMoAcDcaHcWVEsSHETGXMKgjVF9khiaHM1OQlCFSWIz0lCcBpeahfV0FWV4Pm1Yq+1FkzgXJPYA23ozXioXswax80uITOtKO42axkyJGXPu40xKSveZ0xJveS7yZzUb68oQVd7LWc5v6IE8WCdbNmW5WA6bnahMtwuZGKprdmxVXm7NGprNlS5IED8/sg87jVnhYzxkaos+owpDux1jMVzguq7qhqYSeYsqzf7vYFADPWkHw/WZQVYT5Btgk1cqCKFmLHZ2mYvkJihVkTDHZbFm21FFg13oDLcjmxt/jjiZhei4Q7b3szaRkF7yrEYsT8yj5MJcdt4dQ7j1TlOzE/Do41ZjNnib/QcX2ibwZGq/HEE1Ci2mMfxXNuMAOstZB/ONc2zsn4tmEQd6cPjqQX7czX0GVOoNruZfoCqGthhTDLRPN56zY9yi5vLoPPjTr03fazlBJ5pWSGA/k8fkgD90g/2SoDOIH05AJ36oDsBnS9zXwKgSz7oLirugpJ7EbG1YiXjboD+s1PtQiwG0N2AuZiCuxege3qgF/FfdwI6b7VG+8/pOS8I6MVs1myROAro715+urQMeok+6AKg2+eDXgc/g16u4QP6Shs+oHPjxz/+Mf7v//2/0va/+7u/w+/93u/dhhkt/ygG6KGKlJTV1bUGwUpLUSwAdoL3nRD5jHN+WyAQk0qTK7RaqWzcDLVKYmlxswv9jhL4etIvlHwrilVG7oT9TeaIJByXjuySet0zZEhaQOk0j7oKkrnZsvGWcNuNE2iMDGC7kV8s2WlMo4b0ClUGeyPzSJBtQpn6fVHLIo0XmRlZJdumjdl92XwpvRZM4PHUgpBZNvRmnFmzICz6xIzNeCI9L/Tw15N+9BlTQpvCBvMwthsnhMx8nzGFbmNMWJA5UpVFtzHGhObqST/+dvC/YD05xEQMW8g+/PnWw2iMDLBFmnVkGK9sHEeS9LAKik3mCNaRYYzGc6xaYqsxjlRkEMdW5Vipfp8xJXnU+1EusbSHoHK6N912QP/yGtz4Uj2ufms7A/RLP9hrZc+/NygDOp9FtwH92l92yID+pfrSetDdAN3Zh14ioPNe6KUAuluJu1eZeCFA98qeUzCnPzv7z90A3UvEzQvQ3bLprqX5BUC9UP87X+bO+tAdgO5a4k4B3cMHvdQMuiugcyJxroD+0dX5a86VuPPXj1Y2+IBeruED+kobPqAXGL/85S/xwgsv4K677rrjshTW/4y6C8TpriXk73eE9bS0AEBCGQlEqe82v23eJUP/UH1WWmR4PLUgVQHQz6Y/m6FWaMGE0INdGW6Xqgqi4Q5mx0W3UYu0YrZpjzZmLcs2rjf6sUYrm8tfi8pwO47GssJn1pE+QQ2/yuhEC9knLArEjM3YZI4IiwJxswu9xilhUSBudiEYiAsZ97jZZVnHca0BTZE99uKEzl6zyRyxFyc0tq3HmBDmETe7MGjOCn7wcbNLsn2Lm10YjecQDXfY51NDzNiMuRpL+I6ez1BFCs+0zELXGtg2M9SKT62bhBZMIhiIo470YXJ1Dt/o28e2NUYGcDY9j+/cO4AKrRZaMIFUZBAvtp9CzNjMSvprSC9eyEwhrKdRbXYjGIgjZmzGMy2zTJROUXSQUAbPtc0ItnuV4Xacb5pj22LGZkTDHTidWpDOpx/lFMvzEHQn35uWA9Bf9AB0WjrPA/rLHRMWoP9pLa5+sxvXv9qKSz88iHf+ZRTv/GScAfqlHx7Euz8+jHd/NMwA/fJ3P4jL3/2g1Yu+FED/QvSOAnQvUKfw/fZER0mA7grLBQDdrfd8MYDulrUX+uA9ROIEoTgqElcA0AUf9BIBnYnEeQH6643FM+gU0D9SWxTQf3DwbviAXo7hA/pKGz6gu4yvfvWrOHbsGAzDQHt7O06fPo2/+Zu/ud3TWpbBAzr1i77d/zC0kH1SZneTOeLoC7fEtqye5pv/zDZyQAL7TvOoVD2w1RiXFNt3GJMS7A+asxLs7yFzAnRnyJDgv00/s8roFN7XbYxJixM7jElp/4PmrKRcv5vMCftfTw7Z/eb5G26XMYo5R5VAr3FKKv8fNGclwbk9ZE7q7R/ibNNIKIMuY1SwTfPa/4A5I9nV7Y3MS5UJR6qykvL5kSqrl70xMoAE2YYt5nGMxnPoNsaQJD1oiuzBBvMwprjP3GIe585Hfl9PpOelFoQnm+ekqonHUwuSNeCxVXmbtRayD+nILgxHF9BnTCFUkcJ6cgg1pBd7yBwGTAviN5kjUhWEH+USN/cQVA73plsF6E+3zOJC2wyzWeMB/f/b80HceL2RAfq7Pz5slRm/dYoB+rs/GrYy6isN0G04XzKg24C5FEB3tSRzsVlzZs+L+aIXA/RCveeFFN2lebuomLsBuqsYnReg8yruv1tp2axd4ADdI4Mu2az98iOlAbpHBt3NZu3dj9QKVmtOQP/ZqXYf0Ms2fEBfacMHdHv88z//M86dO4fm5mYkk0ksLCxA0zS8+eabt3tqyzreXxV3TcrGZ8iQBIehitSSSn7dSuybInsw4QCrTeaIBIyhipSQKacZex6CZYs2Tep1V5UQTqdk26wuY1ToWde1BoT1dBHbNKs/moQyLBOrKiE8VJ9FNNzBwDga7pDK8KvNbsnv3cuWzQy1Cvt/sC6/f2prlq3NsQyxogSRINswtTpnl6BbN29aus1/ZjTcIcCnc/60ymC+JmeJpikhBANxhPU0Jrn9a8EE66vnF0jWk0O4vyqLJOmx95XAhbYZmKFW1JE+VtnwicwU+35owSQqw+347PqT7JqHKlKoI314qnnOXvTRYOjNWEeG8VhjFi1kH7RgglUHjMYtYTwtmICuNeDrH9iPQXOWZdsNvRnnm+agaw1IkG3MZu2RhrwXO+3Pn0nyPfF+lFcs/iGo3O5NhQD9+bXTDLQL2ax5Afrza6eLA/pfrBUB/Z8+ZGXPOUC/9IO9eO97gwzSCwE680J3AvqrsZsH9Kci3oD+RLw4oNvl2UsBdE/PcIfFGg/oPPQWAnRnH7sXoDsh3QnoBdXni2TR2e9eCwJ8D7pXBp36oF8oMYP+5j1FbdY8e9Btm7Xrn9Rx7ULYHdDtRRk3QKcaAT8d24iHXfRx/LjTwwf0lTZ8QAfwG7/xG6isrMSHPvQh/Nmf/Rn+/d//HQDu6Ieg5QZ0VTUEL25FsYCE70cuNawybnEF180m7Mlm2RqtlLB6lcX9uwm2OUXm3GKHMSmVK1tK4+L+nV7ubtu6jFEJ3LYa49L+rQUI3WWb9XNluB2NkQEhYx03u5AkPcLrakivlL3vMSaE9oBQRQotZJ+didaE/U859l9DeoXPTJIe4TuhBRN4qD4r7f+RhqywQENCGTyeWhAWUOJmF+pIH1vc2WlMo9sYE6og7jVnsdOYFvrd90fmGdDTbdVmN17dfJwd+7FVltr8V7YfYp85siqLQXMWX7t7iFUpHKxcwL3mrN1fbp2LQXMWewRVdg07jEnsj+S93Pttu7jh6AJboPG9Zss1FvcQVI73pmKAfqFthoH6cgM6zYi/85Nx/OpfF/Crt05Zpe603J0H9O/vtiB9qYC+HBn0mwB0XhiO/kyBczkA3Q3SeQD2AnTn6ygke6mqLxege6nR3yygX/0YWVQG3SkS5wbo7/5o2B3Qi2XQ7UUZeo15qzW+yuETmanb9O+jH/9Z7k3+uPXDB3QAwWAQH/7wh/EP//APwvY7+SFo2QFdCS2pbNet373fBXDdvMad73PrKT+bnpc+w1k676aqPbk6J2Xo52tyQj+5qoTsHu68hZnTdi1BtmGPw2M9HdnlejxutmnWAoe1fxLKCJUAqhJCtdktKc47bdkCahRn1iwwCFaVEHStAadTC+yaqUoIJJTBfdGssP8KrVaA27kaqzc8v3/Lni0a7pD2f2aNuP9gIM5aCFQlhNG4lUWn+1eVEKZWy/unGX5qUzZUuSAIvamqgfHqnFAGr6oGHqrPCqJ9qmrg6ZZZJEkP0pFdqCf9eCI9jwHTsmBrjAxgPTmEB+pygpe7qhJka3MYWUXbEyxLtvmaHAbNWXa8U6tzyNXm2KKKGWrF0VgWG8zDbCEhSXqwm8zZVnO3+4bsx/sfi3sIKsd70/sJ6M+vncbnNpzA9/b24cbrjXjv+7tZ9vJX//ZAHtB/Ml4Y0AuIxF3/SvPNl7gXUnG34ZwB+vlocUDny9sdgM6iBECXetAdZeNe4F3I/9ytzN3N/sxNJG5JgF6kh96tB93ph04BnbdYE3rQLxQXifPyQffKoF/+7gdx7esbXTPoPKC7qbg7Ad2psO8DejmGD+grbfiADuCv/uqvcOrUKUSjUWzbtg0XL17Ez372szv6IejmAF2X7NRKicbIgJQN/vT6k0XLfTNkSAJvWgrObyvmma4FE5IquqIEpTJq630iKGfIkLBN1xqknmqniJuiWGri4jFrllUZty0QiAnZdJp5HuP6v+tJvyUax71vvDoHLZhk26hNGV/+Hje7oGsNwtz3RuYRMzYzP/o2cgBHqrIwQ62CDdqZNQvCggSFZPr7OjKMAXNG0AXIkCHsjcwjbnZJ+6cLHpvMEdsiLT+n7cYJjMXFbRkyhJ3GtJAlf5T18GuoMjpRZXRaff32ZymKlZ3O257lj/nMmgUE1ChIKIPGyAD+sHOMvaba7EY96cdrW46xbUnSgwTZhotrp6GqBrRgAueb5tBljLLPrNBqcWbNApKkB6pqQFUNhCpSeDxlqc+rqoE2ckCylVtKZYkfd0Is7iGoHO9NpQD6JzJTeOYmAf0Tdk/7KxvH8f39HxAA/Z13zxYG9B8eXB5AX4wPugPQr33cEACdwnkxQJf6zxeRQXf2cS8F0L280V0B3elJzvmhl6LiXsjDvRCgS1l1R1k9tVujFmsSoDtF4ooB+tfai4vEOTLoAqAXU3G3vwMCoNvnx5k99wG9XMMH9JU2fEDnxnvvvYfPfOYz6O3tRUVFBQKBAC5cuIB33nnndk9t2cZyAbqbj3mx2GSOuGa+i0WfMbXo7HyoIiWJfIUqUpK9mTPcbNZU1RAy3nsj81JpuKIEpfcpSlDIxG4xj6ONHBAE8XqMCUmobx0ZFhTi60gfHuZ6mRXFEtZz2rJRf3D6+0Qih3RkF7eQoUl96k6bNUWxbNCSpEewQTuZsGzC+P077ePur8pKImqj8RwGzBlhm3X8FkxXGZ3oM6aEc1JDerHVGBf230YOYJM5wn7Xgkk82TwnnDsz1IojVVmhhSFBtmE4usAqD06nFpCO7MIW8zh73/NrrUUA3jJO1xrwxbtGWLn8mN2Dzp8rep42mIehBZMYWZVlFnK8zdpM0loAoudzhzEp9e77US6xtIegcro33QpAf7I5D+hPuQD6PxzodQf0t2fyYfej3xSgL9UH/QULupYL0CX/85sA9J8vtHiCrRPS3X73yqYLgM797ITkUn3QF1OiXxKg89nz36nzFInztFn7fKUroBfMoP/yI4VF4l52B/TLT8QFQKfXl147XmX/7YkOfOueXewe5ke5hA/oK234gO4x/v7v/x4PP/wwamtrEQ6HsX///ts9pWUZ75dI3HpySFIYLyWytTkBlOTQJKV1LZjEMy2zjtfpksgb9aHm9/Vsa/59YT2NCq1W6H0eji5INyo+a239nkBYTwvv6zJGBS/xarNbsk1TVYIa0issWiRJj+Dd7WbL9nBDVrD0MkOteCItgjEJZaQKg8nV+UoBVQkhGu5ArjbH5qSqhmRl12ucwlDlgnAud5M5DApl9ZYNmlXloMEMtYKEMphcnWP7IqEMYsZm5jdO52MJ51kLD7rWwLLP9HipeN/p1AICgRiqzW4cqcqijvSxfWvBBJ5Iz3NzsMTwLq6dBgllUKHVop7042DlgqBv0BTZg7maHNM3aIwM4L9vux+PNloK8YbejHRkFz69/qRVhWBf86bIHpxrmoeuNSAYiIOEMniyeQ6hihSzfAvraXYcATWKVGQQutaAR7hr53uhl2Pc/EPQnX5vullA/0RmCi9kpvBs66wE6BcLAPrVN+6y+s5//tsioP/bA6wf3RPQi/WgLxbQX1oGQPdQcZfs1ThQv5kMupcKuhegF/JMLwbohcravQDdU4G+QB86/3uh7DmFdE9AL6HEvSSbtcUC+lORkgH9XyfXMRu8n51ql1rn/LjTwwf0lTZ8QC8y/v3f/x1/9Ed/dMc9BJUK6I2RAdwqy40+Y0qyOisWqhKSVODdYmq1/Bq+JN3LZs06Xu/9RsMdUhY+SXqERQWrj1s8Z/e7iNyFKlJC5njQnJXK/fdG5hkY6lqDAP00RFs2HXsj8+g1TjFYVVVDutkGA3Ehu68oVpbcmU3ne95byD7Uk36h13uDeRg1pJf1epNQBo81ZoWKh7jZhUcbs0KbQh3pE9oNDlYuoIXsExZR7otm0WkeZf3o95qzUlXEUOUCGiMDgq7AsVU5tJED2GAeRpXRiZ3GtPCdaYwMYKcxjcdsa7WAGsUDdTnM1eTYHLVgEhOJHKZWW4rreyPzaIwMYA+Zs6sQLF2AxxqzDotADY80ZFm2n9qsPdyQZa0Am8wRJMg26fz7UQ6xfA9Bd+q96WYBnb5usYB+5dt341fvPJ6HIS9A57zQ3xdA/2S+vN0V0HkP9AKATiH93d+pE4IvdRcAnYN0L5sy+rMTrPmseKEydjcod7M848vc3frM3cTiigrcOXvbXXrP+Z/dsucM0n+7UQL0y2dXFQZ0jwz6pR8eFETiLl15trjNGvVBfzmEGy9a35drz4UZoDt70Om5cQI6X+ruA3q5hQ/oK234gF5mY7GA7uz9dgsrA1sY4t36zKPhDiHrLIeGP9g4VvTzX2w/BaeqOQ/aqkqEDLSiyDZriqJLxxozNgtAWKHVQgsmhMy01Yucz4oHA3EJ8o/GsoJom641YLyaF6HTUKHVCrZmutYgwSgJZRy9/5qgNB9QowioUeGzBs1ZpCO7WGk6FWvjVevTkV3YaUyzcnFda8Amc0RYDKDZbapCTm3QHqrPsnOrBZMIBuI2nGvQgklka3NCdUEgEMNjjVmWbda1BhysXBBUzSu0WozGc6wMnQJ0zNjMFisSZBuytTl7ztZ3r4Xsw1yNVYofCMQQDMTxcscEa0cIBuLQgkl88a4RZvF2Zs0Ceo1TrEqCCsltMA+jnvQjrKexyRzB2fQ8KrRaxM0uhCpS6DbGMGjOoo70QQsm8FTzHPqMKXQZo8xm7Ym0peSuBRP2dyeJR+3FCzqX239T9uP9Df8hyGssN6A/0zKLpwsAOs2yewL6z3/bgvPbBegvyoB+7ULYio8b3oDu4YNeCqALNmscpFPAFbLmRQD9Z6fai/acSxlzD7szL6E2Hrx/kW0W5uvMohcEdIf6vAToDvV4HtAppJcC6EzF/eWQCOhOH/S3Z5gPekFA50XiFgPotkAcBXT+uviAXq7h35tW2vABvczGrShxT0UGhf5oZ6iqUaRs3YrRePHM+MHKBUlojo/KcLvQq6woVrac74NWVSL1T+tagyDK1m2MScc0Xp0TQL8xMiDAsKJYfdl877bzc1QlJPm032vOSscuZmWt4IE9bnZJveud5lEhK60Fk5JaeMzYLMypFBu3NnKAZZtp7I/MM+hWlRC2GuO4v4r3/E4IivD0mLYbJ6TedvpzDelFgmwT+uRTkUFhQSSsp5EhQ3a/vwXm0XAHmiJ7mHfrveastMAQCMRwce00y7TvNKbRQvbhwbr8HA9WLmCDeRhTq63rvIfM4XG7tJ6+JkOG8EJmip0zarOWFxnM26zRKoKdxjTG4jnBZm03mZPOjx/lEP5DkNe41YD+jAugP9NSANB/+RFLzf2XH7ltgM4g3UUgbsmAbovEOcXieOB0AroblHuBLQ3e97wQoLvZqjn90N0A3VmyzgDdUZ7vBHSpz7wIoLt5sPMK7nwfurPE/cr5aGFAfy2+uBL3xQC63YPuZrMmALq9wOIUinumZbbgs5Yfd1r496aVNnxAL7PxfvWgFwu3jLooJqbDmRVXlKANXZytmUN0LlSREnyw3UTpVCUkLBi42ay1kH2OHnp5PnGzS4BHt8/iLdcUxRKSE/rQmVWb9Tu1TeO3ZciQAOxetmm88Nj9VVbWPt+vr2EiIdrEdRtj9sKAzua/05gWevwfqMuhhvSy9wUCMeRqxcWEh+qz3EKAZTX3QJ3YTtBnTAnHtMkcYbDsZctGQhmcTtH+dx1Tq60ser4MXsfDDVnEjM1MRX1vZN5WxNfsYyIYi1s+55vMEQQDcXwiM4VO8yiD5bCexqfXn8R24wSCgThU1cCrm49zrQzWMT3XNoM60gcz1Irtxgn0G1OC2FyfMYVN5gjWk0PMZu1IVdZyAFBCCKhRxIzN2E3m7PYKXfre+XGnh/8Q5DVuFaA/3WKVuhcC9H868mu4+sZdeOfdswUB/Z1/GWV96EvyQV8pgE5jsYDOqagvFdDdgN2ZsfayWnOzeXPLoN8soLv+nSuxFyzWqIp7CT3ogg+6A9ClDHqJgH79K815QKcq7hygF82gO3zQaR/6T36zs2DixY87Lfx700obPqCX2bj1gK65Kpw749XNxwv+fdCctdW4vV9TbXYjW1s4636uSfRBryN9knjcaDwnZECdUK0oFszyZdhurzmdyvdmk1BGEAFTVYJ0ZJcA8ZXhdqE33fo7EVatKezSbaXYprWQfdLK93pySJh/3l/dEtOLGZvxYF1WWKzgKyNU1UAqMoi5mhwD20AghnrSz85vKjKIOtKHPWSOO+e6JUTHzb8y3G5DtM7mn7dlsxZZTqcWQEIZqKrBFNZ5Jf315BB6jVPYaowjrKeRINusa237lNPXvJCZgqoaCARi2GAexjMtsyzzrwWT6DSP4g82jrFjerghiwfrstzijNVGcKQqi4AaRQ3pRdzswpk1C2yhh6rbW99F3dVmbT05hFc2jjOxuRayD13GqO+HXnbhPwR5DTdAf7Z1lsH0UgGdQj4FfTdA/8nxTbj2lx1iObEboHNWa0vKoJdis1YKoBfqQS8V0PkS94frPQHdCXKuAmsOoTg3QHcrbXfLprt6oXPZa/7zneXuXtlzt/55CcJdSuqdnyn0ujsBvQQfdAbor5ieJe6eKu4coEs2a16AzpW4O0XihHPCAfpbJzbg7YkOH9DLLvx700obPqCX2bhZQK8n/RLgiiGrrC9HhPW0lLl1Rq42V/SGsp4c4sBZ7OG2QncolAdt8BIznfxrGiMDknib06YsEIih28j30++PzEvnsdsYExYTnCXrimJBPC/ANia1BegCiCsKbR3I25rtMCaFjHxluN1RdUBwNJZFtzHGKh0CgZggxLY3Mo8E2cYqEWi5OF8Z4Zz/yURA6jVAAAAgAElEQVROKll3lvuPrMqi2uwW5mOBuTX/mLEZg+YsV22h4+mWWcFXPKBGMV+TQ78xhUAghvuiWTRF9gg9ddlaK6tOF4F6jVPYG5ln83mubQYD5gx6jAlWiv54agHryDDr5x+L5zCyKosN5mGmJ8DbrIX1NPZG5gVbuWi4A33GlCTG50e5hP8Q5DW8AP3iMgM6zaQXBPRL5y0gWgZAv/HlNYsH9M/cHKAzSHcBdMkLfTGA7lbiTrc5MumLAXS+/9nVas0leFj2AvSl+J97lbUvCtALqbh/NlRQxf3dHw0XFYnjAd0zg/5cWChxdwN0vg/dCeg/HdvoA3pZhX9vWmnDB/QyGzcL6BZAyqXnhYK37XKLPmNKAjU5dEHUrdrslkrKrb/nQfpg5YIAxbLNWpATarOCFx0T92v9XE/6HYrsGhojA0JveiAQE8CfhDICuGrBhO0jnz+Pm8wRQR0+bnZJtmx8hl5RLNij86e2aVnONq0y3I6jsaxw/vlydSr8xvdhU9sz+h4Ku/kKA8tmzLIm0/NzVaMs62yGWnE2PS/M/9iqHCeeZ1VZTK7OsT76NnJAsGVTFMs3nvbma8EkQhUpnG+aY/Pvt0XZWC+8SvBAXQ7ryDDCehrVZjeaInvwSEOWfVfqSB+6jTFL3E8JocroxNfuHrLt0ZJoiuzBo41ZDJgz0IIJaMEE6kk/Hm7IsqqJFrKP2azRc7CODCNXm7OF9CybtbPpeWjBJGLGZmwwD6PXOIXTqQV7/jrur8q6VmL4cSeH/xDkNd4vQL9g//fi2mk87QHo715+Gu9efjqfSV8uQF+MD7qXSJwHoDNId8ugu3ihC4BeoMR9uQHdyxPdzR+9UKl5IUD38j53m7tr9ny5Af25sKXCzwO6m4r7m/dIGXR+0YgvcS8pg+7Rg/6rB1OeGXRa4v7TsY1SgsCPOzn8e9NKGz6gl9m4HT3o1F6q1AgEYq42aXwcqcoKGeh1ZLgo7Ew69nlfNCt5tR+N5WHO0JtLsMLSBWDfYh5nGVYaPcaEkPVOkG3CXC3bMnFRgLc3UxRLYC1vm0YwaM5atmz2/N1s03g/dWprxluktZB9QpZf1xrwaGOWzX/AnEGS9AiLHFb5en5hZIN52Ab8/Py3GuPc8erYH8l7tK8nh5AkPVL7An+8cbML68khlrk+WLmAVGRQyJIHA3FhHwOm1R9+rznLKgBE0bokRlZlmW2aogTxSEMW95qzaIrsQad5FDuMSTzOLYJ0G2PoNI8yizaaEedt1irD7eg1TjF/972RedSRPsFmzVqsERdjfJu1cg3/IchrLBeg8xZrpQD67284gX8ZuQvXvr6xMKC/PbP8gP6F6NJU3AsAOoNzD0CX+s+LqLh7Qm4RkbWlAnohFXe+5NzV+9xhDeectxPQvVTo3QBd6HWnn0UhvRRAL5RB/1o7rn6zu2RAZxl03mbt85UFM+iXHksKizFuPehvT3QwQH97ogNf+rUjK+DfTD/8e1N5Dh/Qy2wUAvQeY0LI2JYSbmrjhaLTPMrUtr1CVUKCVdkjDVnX7DcfYT0tZMM/ta74vBJkG+uNDutpIZOsKFaGWuyn13CuKQ+bA+aMQ51eRw3pFbLpNaRXgOKH6rNCf7YWTEhq7PdFs4It2oN1WUTDHayXmoqN8e9x2qb1G1Ms612h1aJCq2XZ6WAgLmXjj63KocroZDZuTtu3BNmGqdU5W7XegvHTqQUYerMtrEYQCMTwKFN717CHzGGDeZjNg4QyeKAuJ9iyJUkPW0gIqFE80pCFoTezrPi9Di0CXWvAkaos6kk/4mYXDL0ZZ9O0B986r8+0zLLvj6oa0IJJvNwxwb5DeyPzOJmwSty1YBKG3oz/59eHWeuDrjUgGu7Aq5uPI6ynoaoE55os8KY2a1uNcXz9A/vZOaOe9kdj1mIFtVmjFQkVWi1OJnJ4qnlOsFmbSeZcBRP9uFPDfwjyGqUA+nNtM0UB/ULbDFNtpyJxhQD94tpp/MOBXlz91vZFAfqlH+y9NYD+Gb1wDzoP6E9Fbh7QbTin4CYIxDls1koFdN5bmwd0Zwm7W9/5YgDdTRBuMYBeSOSuKKDbkM5n0C89lixY4n7jxSIZdJcedC+bNQnQ7Qy6oOL+VETOoNvtDF4icTR8QC+38O9NK234gF5mY6WouNNQlZANNaW/J0G2LVpcq8eY4ATPZJs1t+DL1JOkp+giAQllhKz1VmO84IKHGWrFXi67rCjigkcN6ZUE97YbJwSgD1WkmIe3oth97A6BOCvjm89w7zSmhT58Z//8gDkj2b5ZFQ3WPqSedSWEbG1OWKxw2qytJ4eEfraYsZkr97Z6wDeZI0K1RZ/jGnUbY2xxJ6BGsdUYxySXEdeCSSHbT68hrXBoIfuQigzifFMe+I/GxDLz0XgOJxP5cvz9kXlsMA/jYOUCKrRabDdOWIsstpheWE9jPTnE6RRo6DOmmM1aY2QA1Wa3oLDfFNmDuNklVUn4UQ7hPwR5jWKAftHOjD+3zID+/NppfH//B3Dl23fj0pVnmSiXJ6DbNmtLAnS+B/3V2KIB3ankfssAncsQlwToHpBbCNCdWXTXLPYiAN2ZUS+5xN3F2s05h2KATm3rCgL6Cw5A/0LU+j7wPehv3pO3WSvig140g+4G6B+pZYDO1PntY+QB/e2JDrx1YoMP6GUV/r1ppQ0f0Mts3GpAtwBpMT3qugDLbpZnzoiGOwQhuufaZoTPdNvHOjLMysGdNmvHVok91tZ7dekzeVh2ZqCdUEzVu2k5uK41CP7eihJ0CNRZiur8wkO12S1UBZBQRoC6sbiV9bb62a195O27rDn0G1PCwoJT9X6uJif4xqtKyN6HZS2WINuERQRVCeFc0zx3vnR2rPQzqao8fX0qMohsbY6d/7maHKLhDnuRQJOOu40cQL8xZYOzjkAghrkaK+OtqgRDlQuoJ/1cybuGydWWHZz1GgNdxih2GtPM5/3i2mnUkN78vFQDf9iZh3lVJbjQll+YiIY78GTzHFtkUZUQPr3+JPeZOlQlhOfX5m3p3GzWHk8t2Fl4A8dW5ZCO7MIDdVQJX8fJhJ9BL6/wH4K8RqmAvpgM+lPNcwzCSwX0y9dfEJWzbwbQqcXaYgHdQyTOFdBtOL8lgO6RjRbU228C0ItlzwsBuhucFwN0L4E4t/kWBXR7AcMV0G0Vd8EHnQf0V0xPkTinD7oXoF/5zo7iGXRnD7oboLtk0N86sQE/HduI17ute/Dt/3fTD//eVH7DB/QyG7c+g86BskqE3utSYmp1TvDLDutpIUPsFk7A4cXHFEUTvKrdgtqT0d8zZEhQ/Hb2tteTfklcbrw6x7YFAjHM14ggvJ4cEmzE+JJsRbFK/3mVdF1rEBTa60m/JbpmLwSYoVa73Dz/GVuNcRuurd/z9mzutmmNkQE2p3rSj2qzW8h6TyRyqNBq2WdSUTr6nnVkWPBNT0d24dFG0aptanWOzTsQiKGO9EkWcbSEPRruQGW4XbCVGzBnkIoMsvdowaSd3dbYtcqQIbtyQUOS9ODF9lMMqruMUYxX5wSY326cwGONWSFL/rkNJxBQozD0ZmTIEP5go6Vg32WMYpM5gqMxXqHeso7baUxDVQkD/6xtJ7eODONoLMts1mgfu3UMFti3kQPYYh4XFkf8KIfwH4K8RimATiH7U+smSwZ0qtpOy+MvtM2w/ZUM6P/2wPsP6C85AN3FC33JgM5brBUBdDfBNclyzWGx5qbc7gXmxQDdy2rNrZx9UUJxLurtXv7rbsJ0nj7odgb98tlVIqBfdAC6h81aqRl06oMuZNBfLgLoJZS4UwX3n45txE9+s1NKLPhxp4Z/b1ppwwf0MhuLAfQk6WE9yUuJQCAmQeRio8roFNTNH08tLLJPXhcywLvJnJB9T5Ie7Cnit25ZquUBvtM8ygTqVCUkic/x5eA0eEGwaLhDKBEPqFGhzH/AnJHOe6d5VCgRrza7ucx5ULiJ1pBeAfZVleBIVRZdxig7dwE1KixcOPffQvYJCyWTq3PM71tRLKg9UiW2JvC2bFowKZVwP1SfLydviuzBBvMwK2PXggk8nloQvi+G3ixcuyNVWaG9YYt5XFBof7AuizZyQKh04FsO+o0pdBtjrOS9yujEA3U5eyFEx5k1C2gh+9icBswZ5qPOfxcyZIjZ7OVqrQUlujgzkcix7xMVlbMs1azvw5k1C+gzprhWBl0of/fjTg//IchrlAron8hM4VPrJvFs69IAnQL+82un8WTzHJ5rm1lZgP7Z0C0D9Pc+urp0QHdArpuXuBvsemXRlxvQ3bLlbpl/T0h3AXTXz14ioEsZdN4H3cVmTQL0UkTinIDuyKDT74Ngs8YBOl9NwAP6Wyc2sCgm2OvHnRL+vWmlDR/Qy2wsBtBV1ZBKt28uNJxN54ErGu4o4qkuB5+RT5Ieycech29Db2bK5zS0YFIAfCoiRn8/m54X/j4cXRAy+E5BN2cZuqIEhWNyisSpSogTUpNtzeJmF7Rggp13VQlJx2j1YefF25ye6jWkl5WTh/U0goE4Ow8BNYq5mpwAwunILmEB4eGGLIKBuGCblu9Zp3NMsjk0RgbwQF2O7d/Qm3E6tcCOKR3ZhQFzhs3xoXp5/4FAjM0xbnZhNG6VwdOM+UP1WVRotQgG4szGLRiII6BG0UYO4GDlAncdNIxX51gVRDTcgZixGRfXTrPP+dyGE6gjfaxCY29kHo80WJ8RN7vw6ubj0IJJJmgXN7vwuQ0noAUTCARiSJBteKjeEi8koQwqw+2eNmtxs4vZrJmhViTINtSTfmw1xrHBPFzUhtCPOyn8hyCvsVhAp33lNwPoZ9PzeLJ5Dt/b24cr374b7119Hpevv4DL11/4zwXovBe6m82aDec3A+i0JJq3HHPLSBcqc+dBnZZTuwF6IVX1giruDkAvWOrutgjgsTDg1X/utFkrJhJ3/ZPLA+gsg/6NzZIP+o0X7e+JI4Pu5oPuVeJOIf2nYxulBIQfd2r496aVNnxAL7NxMyXuixVmKxY7jWkhS8uD69JCw0wyfzPpMkYFH08z1CqUrrvZrBULaqfF74NmWMN6WhB5203miu5/kzkiKLLzJeaKYtua2bCuaw2SoBufIW6K7EE96RdszTaYh4X9k1BGyK7vdrFN418/VLnAbNNayD40RgaEBQdFoRZpGts/L9Tm3P96ckjYP/WqpwsvfGZe1xrQa5wS9l8ZbnecA9HmrssYRSoyyK5TldGJT2Sm2GeeTOSQIUPYaUyDhDI4tiqHxxrzCx6f23DCkfnXMZPMYcheAOg2xpCO7GL7rwy343zTHKt4KGazdrByAVvM48y6jardL+f/V36s5PAfgrzGUgD92dZZ9reLywToV268iMvXXxBF4pYK6F9ttQDKTcV9sYBeSCSuREBfVIm7B6A7QdnNS9wLyp396IUAnS8351XVeTj3gnR+e6ES/ULB9757LQiUAujXPm4sKoPOq7hTOC/kg+4K6CX4oNNz4wO6H/69aWUOH9DLbNwMoFPrKxqLtWQrFrzPtaIE8UJmimUXSSiDJ5tFkOEz14FArCgMO+3JeJs1RbFgku8JfrplVni/leGlpeuakJ3XgkkEAjEp08z35PcZU8KChFNobiaZY2XmutaAkwnR1oxmaum5D6hRTqxNQ7XZzaoBtGACVUanUIZ+MpHff4VWiwnH/h9tzIq2aWpU6OVPkG3S/imoqirBg3VZ9ndda0CPMcF6w7VgQrBlUxSrbJ5e8wqtFpOr5eOl55PauJ1ZY52zUEUK/cYUuoxRJEkPtGASz7XNgIQyqNBqEapI4XRqATFjM6qMTjRGBnC+aQ6NkQFmcfbnWw8zAT1rW0IQgZtJ5jBoziIVGUSFVotqsxvPts5a11qN4syaBVebtYAaRSAQw+P28WrBBHYYk+gxJlBtdiMYiCNUkcJEIoe5mpxgKejHnR7+Q5DXWAqgP9MiAvrFWwnob51afkD/fOWiAN3TZs0B6AzSS8mgO3zQlxPQvcrYvRTdC2Xe3QDdrR/dC9CLZfwXBehcn74roNsicYvJoLuJxPGuAu9cOm99Fx096E5AF1TcXXzQmde9h0gc9UKngP53u3cKzzV+3Knh35tW2vABvczGcorEtZED+VJs1ZDKv2918MC+1RhHjzHBfqdQRH/nbdaWGuPVeQ/vCq1WyKbfF80KZebOHnGnrRvf862qhtBnryju/vL8SrazR9zZ872XK3tXlZBkP2b1RVs/k1BGaA2gtmm0X7yNHBAE5CrD7UydnJ8Pr4zvXHXfG5lnr3fOp40cEM4dCWWQigyyaohe4xTWkWG2eJIhQ5wfvY6dxjSOVGVBQhkoipWlpiX3ZqgVW8zjeCI9D15Yjs/KqyrB7284wfrde41TSEd22QsoOg5WLmC8OscWR+41Z9FpHkWPMeFqszaTzLHz67RZ07UGPFSfZX3y3cYYW0B4P//f8eN2hf8Q5DWWA9BfyEyx3vKnmufwpK3ifssB/dt33x5A/xi5+Qy6I4vuVSIulES7BWfXVazPnAf0Ql7oAjwvEtAL+aEXAnS3snq3/vNlBXSnD/rbM6zE3QvQpR50HtBdStxpBp1fhKHngr8mFNB5SH+/n+388O9N/vABvezGrVJxV5WQJGwmQqkGXjjtVltLBQIxAWAzZEjIsG83TggQnAc+WcU9EIgx4KPHKorAibZsqmqgMtyez/46bN1U1UAqMsjOQSAQk6oH+LmnIoPCXC2F+Pzn7yFzDPhUJcSVT1uRq80xdfdqsxv3mrNCuwL5/9l79+A4rvves7unp3tOn8ZgOBgOnsPBSyAICCQNgWDB4OKCRkDyQnzgUhQJk4RAgiRe81iVbdISZfGKYVEho4hFlUpOFDsupfKyc2/sOLFyc8tJJV7fVGoru/Z6N87WVpynbcly6jqWKUuyndRv/zh9fnNOT/fM4EFyCPSp+pUJ4EzP6Z6xuj/n9/t9v2aX0JPObNMKfuQ6tNhj0mZCxEhj5l5VTMg35PH8G+mIULLNjiUq2o9bi5C29zM7NMWEOmsAPtqUw572hSTrPefH30vmnY0Qdr6XmlnfN8/Uf7QpJ5W8q4rpiN/poKoEzHBKaHMwQFOj8ErXHH4HZxN5GCKzMELmQFOj8LntT8BWetRRq6dwq3MBBeESdBAWknnYaZ0GVTElmzVVJbCbnC2yWXuG26wpJpzaVLDFixhpOLUpD632BFhmh7SZE8R6juAhyG+sNaA/37YE11ozEqDf6lyAlxxAv9W5cE8AXepBv4+A/s7lZElAx8zqcgDdw2pNhG2/LPlqAZ3Dsh+gV+SF7hzTy9bN/Z7ie7v73Ssqcb8VYS0K5TLo3/yQVOJeBOilROIqyKB79qA75+yGc1EsLgD0jRDBvanaRgDoG2zcfZu1Qojl43XWgOQ1/oUPnJLm7rROY3ZaVUnJjG9NpFvy9l5ZGNL65HJ9o0gcT/z7idqcJLLWTg/CmLWAP18SRNwUhfVoi77gIuwrClMf5/P1UFK6GXJfb76euNWPmWJFEasYGMC22hO4EaFpMainw1IP+FZ6VLJNq4l0I0B72aY10VF41GbCeSl73LELY9di3FqEE7U56fgfbcrh8QfIDHTRSfy7ZXZIsD0dl23cdpEzkrJ8F53Ec+NCdfy9VZVAqz2BP6ft/VBPh+FcIo/fkVe7z2OLxC5yBiboEgyT86CpUdhGj8Hrj5wAVSWgqVEYJufhpYfm8XN9vDYHN9sXQVOjYJkd0ERH4eWH5kFVCWy3TkI/mYZRMgeqSqGRjsCLHYsI7V42awvJvCNImIAEHWSWbM51mazJonJ8EOs9gocgv3EvAP2F9oKP+s32RXgmlYXrrUvw1wf2ws9+04K3f/TsynrQ7zegczgXAd3DYk0EdIRzL0DncY8A3QvSvcrM3dnsIkAX1u3OoLuPUar3vBSg8+P59qB/YnNxBr1SQPcQiSvKoL+14G2z5iUSd8OG967FinzQpQy68LlxKBez59872ytp3QSxXiO4N1XbCAB9g417CejLiUftjKQ07rboEsvJk3RIyjCHtLgDueznE7U5CYjdKujsZx2PJYp0qYopZXz3knlpMyBBBzGjqiisr1sE1BEyJ2RD9WVblBCjTcqmD5FZabMgbe+XlOzdpfC7yVmcr4eS0nVyzxdt0xSluAxftE3TtJgkLuee304PSn7xeighfYYTdEkqY+c2a/zn2UReWtcucgaPr6oUrqYz+DnssxahiY5i5ryJjsK11sL358nGPDTRUcycH41mHSE49vlea82gqvxULAcDZAa/X010FM4l8uhBz/3SeQXEuLWIpe/8vXqt4542a2Y4BYfsjHPN2fftYnMOP9+t9Ci004NFwn9BrOcIHoL8xv0G9PeuR+HtH3wMAV1Scf+XrATo73zryL0H9JeNVQG6VOLugNqaALqHl7ifUrsXvJcCdB5e9m6+InEuSPcEdD8bN5cKvZeSu7gp4CsSVwmgl/JBf2sBfdC9AN03g/6aAOi3Ir6ALvWgC60JboE4Dujf2DdWBf/tDCK4N22sEQD6BhvVCuirC10SjDP0Zgma3TZo4s9umzVFkcXw9FDCw5at0Mvutolj84nn390icdFIj+SBLYrEKUqh95r/7Fa5v7BZFpUTIdc9v8+akvrcWZa/MHc6nkfw19So01Nd+Ptl4VgH6BJuUkSMNBCjDZ5qyaHv/dFoFpJ0CMJ6AyToIFxszqGIHjW7JJs1LiRnhlNg6M1ghlPwbCrrCNURuLCZlYEbejPUkj5ooqNwYXMeNC0GMbIDLrfkwNCbQQ8lIEmHYLImC6OEiQsSow1e6ZpDe7ZLzTkYJXNAzS5I0EFI2ePwqe7zoGkxiBhpeP2RExAjO7As/rFozgF13ddmrYmOSjZrfC0Xm9kmkWizNkRmwQyngBhtcGVLlgkbOsKFYg99EOs5gocgv7HuAP0r3asD9FcdQH/FidUAukcW3QvQJaG4SgDdwwO9FKB7/buUersbjisGdI8Mup+onVcVgB+g82P9a65Ntln7WIucQXfbrN2q0Gbtmx+qKINeqsS9ZAZdUO53i8S5s+hvPNEHbzzRB9872wv/1/jPVcF/O4MI7k0bawSAvsHG+gR0/5iO56USa7G3XFF0zJQqCoNYt4+66A/+qJ3B8nE9lHAdKyQppqfscck/XQ8lpDL4ETInqcCLGV9FCRVZme0hF3C+qhIpi7/TOi1tOsStfuw5V5SQY7tW6FnvJ9PCfAPF0bzmu23ZFMWQ1tZnTUlZeHflw4Rgs2bozUUZf/FY7fSgVK3gnn+ALmEbREiLF9mTiZ9lqz0h9f3roSRmyVvsMfjc9idwQ+JSM8ui7yEXoM4agMmarLC5wfriuc/6LnIG0vZ+mIoVBPOeb1tCvYFDFdis9ZNphPF91mLRNQtiPUfwEOQ3AkAvBvSf/nJlgI5wfj8A3UPB3a/MXQT275/v9uw39wJ0vxL3UlZrXn3ovtl/53elPNiL3qtSQL9hL98HvZRIXBlAd4vEFQG6YLPmBejfP99dlEH/+s/tq4L/dgYR3Js21ggAfYON+wHobjs2M5xCaFNVCp/b/oT0d/YzA5ouOimJnqkqhVe7C/3oZ+ryAozq8CtbZQBkwMdg022zVvg7+zcx2iRo1tQoiq8pSsjpoWfrUhWz6FhiaXudNYDZcz2UkN5bVQk00hEJXMN6A8v8KyaEtLjUhx7WG5z+ayJlXfk6knQIS9Ez9XmIGGmsAhizFor646nZhfPzDXnclKBmF0zFcqgVsJDMAzW7EGSHyXlfm7iw3gBzm/NYjVBnDaCSO183z8KH9Qbos6awtDukxSFipLF/PKw3SBn9mkg3tjCoigl6KOGosodwXdz7PaTFwdCb4arzd1UlcKk5hyrpESON2XhVMcEMpxxBPB2/D/zaH41m0WZNUZin+lrbrMXIDtDUKJypywcZ9A0RwUOQ37ifgP5/7/9QaUC/Wz7oywF00QPdD9AFizUJzn2U3MsBuhuC3ZDrpYjuBegilIv/FkXiSsGx+F5ecO4GdLeKe0lAF35298p7ZdA9Af1iE9z5eGMRoL93PVqxzZqfD7qXijsC+ld7yorEiYCO5e0eInFuoTgO6G/OPAzf2De2ahecIKo9gntTtY0A0DfYuBuAHo30SKrseigpZXTFbK6ihCDXkId6OlwF/0EqREiLS73AA2RGUi53Z35F6I1GehDiFCWEwMV/PkCXJB/RFntMei8GpgwQY2SHqxfckI61m5yV4D1GdqDAWJIOSZsGorBe3OqXXqepUcnzvdc6Lt2A41a/9Bm5z1+cr6pUKtVXFG6zVoBesbyeZboNXONeMo/XZ4jMYt++HkpCr3Wc9fk7ffWziTxWDzTRUainw6gZsM9ahL1kHj+LETIHaXs/PF7LSurHrAV4JpXFKohnU1nUJ0jb+6HXOo4bPCEtLlUWDJFZFJxTFJYZF23W8iu0Wesn09BER4ts9oJYrxE8BPmNuwnoLwmAfqtzAV7pmoPn25bgcksOrrcuwX8bOA7/c6kD3v7h06VV3L8zfX8A/eVVArrgg+4H6F42a8sBdL9suAjmXoDup97uznCL6u2+gC5k/fk5uAXlSoncrRjQP9biCejL8UH3yqB7Arorg+72QS9X4u4GdPGzcturiZl00ekmiPUYwb2p2kYA6BtsrAWgu1XWI0Za6rsOaXEpE323wp2Zd/edi8JxihKCm+2FsvDd5KwEsJoalTYS2ulBBDlVMYvE1kS4FW3BGHjKFmyiyFtGUEGnZhd6i/MQFd53kTOSYBw1u4RyaANmE3lpE6GW9DkbI8z2TexfryV9ku2bpkaFknqdqb8LWfVopEcq2+YqrtxWrcUeg5AWhwN0CTPw3DZNtFkTVd9VlcAImSvMV4m0RlUxnfNl8G7ozZj53kaPwS5yBoXlnmphSvpcKf1MXR7L5cN6A4jSwk4AACAASURBVFxuycE2egw0LQaqYsKr3edRIX4XOQPT8TzsJfNORj4JX/ngJLTYY6CpUcg7HvC7yBkIaXG43bkAXXQS9FASVJXA1XQGP1Nus6YobEOgUps1M5xCmzX2vTUkccIg1msED0F+Yy0B/Wb7IjzftgRX0wzQbzsWaxzQX35oHp5LZ+ApB9A/ve0c/P1ju6sL0D8l9KCLInH3ENCXU+LuBehuxfZS/elegO5WcS8J58sAdC+xOHd5vfu9/QCdQ/qdjzfCnacbVgzopXzQf/z+SysrcfcDdOcaiWX9YvZcBHMeN9qWQH62CWJ9RXBvqrYRAPoGGysFdGp2uazHjFX8h6Cy6CfTEoTX02EpE/3JLll1/MqWrLQx4AZ42Xu92EqNhS6piytKSPo5rDdImWVVMeFisyygxqFSUVhWW8zEipsIIrxbZocDmxTXznrY2XVuoqMIm3xNQ2QWjyWCvds3XVOjWD6uh5LwkcaCyn2rPQGt9gTOd9u4iVZn0UgPWGYHngM1u5zMMLtpn6krtk3jGxmNdASeSWWZFZljkTYTZyXxSToEtaQPe8jNcAriVj9mtwtrMPB7IPbQX27hVm9sHVfTGQhpcVRJn4nnQVOjkKCDkKCD8Gr3eVBVAqNkDs4l8qhWv5uchS89MgWqSiGkxWGndRpudS5gu8DjtTnccKiJdEPc6sfPK6w3QL4hjzZrJ2pL26zlBZu1IzVZ2EMuuL4bQazPCB6C/MZyAP2TXXPwYsciAvpLHoB+vXUJnqsCQC/Zg/670TUBdF7KXA7QRRX3SgHdy0/8bgC6V/barw8chdpKqLeLgO4V7tJ8d9Z8uYDOy9zdgP6TXyII6D971V/FXQL0UiXuDqD72awVAfr1KPz4SqLwmTsCce4Sdy8Vdy4U9+bMw/DG6e1FTi5BrKcI7k3VNgJA32BjpYCeoIN3HSDqrAFYSBZA80hNoRxZUVgWdfX+57LNmqIwobJCr7khCbApSsj5mc23zA4p61sqTm7KoaiZHkoWZcsvCBZsCToogb+mxSRP8D5ryrMHrJb0uTy0DZiOy1l4sbQ9YqSdnmv2s2jLpiis1JuaXWibxo+th5JwZUsWfcIftTOSQr3bZu2cS1FeXL+qmFjiX0v64FJzDo91chPrgedl6kNk1tEgYOXjc5vzsJUeRWhmNncUP5vHBaG+vWQevz9XtmShkx7GbPdSfR6ubGEZ95AWh5vtTKyNr/Ez285h1UCrPQGP2hmsXvhIYw4a6Qiu8QBdwusi2qxFjDQ8amecSo3yNmtiK0MQ6zWChyC/sRxAf8UH0D95PwH9rwbuHqC/UgGgV5BBLwfo2H/uAeh+cFsJoPsFh3RxXilAF9ewJoAurN3LMs7dA1+qB51brUmAfsOuWMW9VAbd3YNeygcdAf1WBDdu3n0uLonEletBdwP69872wvfO9gatWOs6gntTtY0A0DfYqBTQRauxtQy3ENZ/2T6NmW1VJSt8X0MQaGMhisVtt05KauFu2zUx68tgVnfWQ6WMvaLoUh/WmLUgKYVfTcs9WqxnueC3zrP7XBSNQ6mmxZweZva6x6I5BD5VMYtK9UVV8Ho6LFmt6aEk9kqrKoEkHcKNlQuCiFtYb0BbNi5aVlAu16GRjiDcWmaH1LYQ0uLO9WZruNRcsE1L0MEi2zSeCeel6BxsuXaBuH5+3orCROi43ZqiMKhO0iG0Ncs15MEMp0APJeG5dAbiVj+E9QZI0iEYIrO40RKN9OAmhaqY8FoP6x3n2fsvfuAkxK1+aKKj0Gsdh8stLPttmR3wX7ZP49xGOgKP1+ZQfyBu9cOtzgW0kIuRHWizFjHScDWd8bVZezYl26w9XpuTdAyCWK8RPAT5jXKA/pIL0G93LsBtp598LQD9H44Nwts/fBre/ekr/oD+xhm4888fXjtAF0vcXzPvKqCLpe34v4Lt1qoA3SmV9rNNWymg+/Whi17kpQDdvW5PQPfxRV+uSJwE6NwHvRSg+/igi4BelEH/wccQ0EvarL1sSIDuVnGXAF347LiCOw93mbvY2hjEeovg3lRtIwD0ezS+8pWvwMGDB6GxsREURYEvfOELRXP+5m/+Bg4dOgTRaBRs24bdu3fDP/3TP+Hf33//fchms1BXVweWZcGhQ4fg29/+9rLWUSmgu8u8VxrRSI+U+XWLja00Hq/NSYArWmxVHnrR66ZiOQRCYrRJYnClYsxaEGzQaJF1mWjBlqCDvtf3iMte7QBdws0DQ2+WxOUUpdimjGfhh8l5qLMGYIjMFtmyud8nbvVLPfaqSiULs13kDCqqP+rYiPVax8HQm6U+fq/1uG3T+PxGOgKXmnO4CXCkJovzi9dDigTbaiLd+H4t9hiW3vWTabjeugR88+BcIg9j1gLUkj7YaZ2WdAao2YXVBn3WFLz+yAn8DC8252A3OYvrOGRnJGX4E7U5OFLDMu67yVmop8PwqJ3B6+Nns3bIzsBO67Rks8YrK/RQsujzDWK9RfU9BFXbveleAvqzqSw837YEnxEA/Z33Xlw+oHvZrK0VoP/yXQB0ITwBvRIv8TIWZZUAeimxuLsJ6KWs4jwz6qUAncM570G/kpAA/Se/RCoC9Pf/9w8U+aCXAnS/DDoCegkV97c/kvIFdK8edJ5JDwB9PUf13Zs2+ggA/R6NP/qjP4JnnnkGfu/3fs/zIehb3/oWxONxuHjxInzta1+Dv/u7v4MvfelL8NZbb+GchYUFaG5uhi9/+cvwta99Dfbu3Qs7duyAf/u3f6t4HXfbZk3u8w5JfdPLiZAWx/JwRQnBbz8s3xhYZpgWvY71+Sbx5xfaF6U1TcVyUol3qZJ5sYR7NzkrbS4wCCzMrSV9CPYRI42icdw2DdenmHCpRM96QWxOx+yr6EnOwbTPmpJulobejBnxsN6A/c/8PERbtpAWl9bHM9yKwoCRZ3L1UBLq6bAD82w97HWF9fAKA26blqCDWCEg2qwtJAu2aWG9AW3l6qwBOFKTlUT2rrVmnCoHA07Uss+rzhrA/n8OtJoWc9bK1nOzfRGo2QVhvQEO2RnYZy1Ciz0GeigJNZFu+My2c46gIYWXH5rH9+RWcvxcnmrJwalNTIBPDyXhU91ss0MPJWBucx76rCmsiGikI/BUSw6z4Vxojtussex7AisWuuikr81ajOzAzzeI9RrV9xBUbfemuwnoN9sX0WrtuXQGrmxhgP7rvWfXHtCX64O+FoDu8kGXvNA/sXntAN1tUVZNgO5Soa8I0D0y6F7v7xamcwP6O5eTBUC/Hi1f4v75OPzs9aZiQF9JBv2zNSVt1u483VAS0EU49wP0/7Hn8Iqe54J4EKL67k0bfQSAfh+G10PQiRMn4PTp076v+eEPfwjhcBg++9nP4u+++93vgqZp8Md//McVv/fdBnSWOVy+gNwBuiQJvO0hF1x2Y/7BAVJRGHAXlM4rj5AWl0TXFCUkgat/GK4e8JBjE8bWE7f6fbPw7teJonh6KFl0HiLwinDeTg8KFmByD7qi8N5mtp5Tm/L4vvV0WPJ510NJKXP9eG0Oqx/0UBL7u2si3ZCyx9EOTVVMqTeNZ6z5z410BHaTs6CHErCNHnPWU7BZ4/PcNnHEaINDNlNMHyKzMBXL4ebLXjIPA2QGuugkRCM90qaLpkYh57QMWGYHfLJrDlsgDtkZ2G6dhMeirAJjn8UAgD908IqKkBaHz2w7h+c1RGahxR7DPvEEHYTbnYWqiTFrATP09XS4rM0a3wxw26w10dHAD31dR3U/BFXDvekX28/Cix2LcKNNBvTbDmC/sgJAvyUA+vPOcVcD6O9868j9BXQO58sFdBHKHah0e6Hz8AN0Tw/xFQI6B0MvNXc3HHsBepGCewlAr0Tkrhyge2XRMXvuBnRRxV0E9M+YMqC7MuglReIcQEeRuK/2yDZrr7lE4nwAnV8jsQddBHS3DzoXivuHY3dfiyiI4N4UDDYCQL8Pw/0Q9O///u9g2zb8/M//POzbtw82b94Mg4OD0pw//dM/BUVR4Ac/+IF0rO3bt8OVK1d83+v999+Ht99+G+Pb3/42rD2gr8x6Q8yA95NpKdNc6jW3OmXgZWBdvAZR+VtRZJs1RWEAzoFPtlnTpdc9k8pKP5+ozQm90qLqu2ypxnq+E9I6xRJrscxdVUzBcktWZU/b+4XsvQGqShBIVZVIfegXNsuiaYWSc9l6jduy8az24845NdFR0NSoIGCnF/XB10S6Mfu8l8xD2t6PwmfiulXFhDlhPWG9AUXattKjMEBmYCs9CqpiQlhvgGdTWVSJP1GbQ60ATYvhdeMZd9b7b4CqUrjduYAAPumUyvNzNMMpSNv7wQyn4NlUFnaRM6CqFFTFhC89MoVCfIfsDJyozcG4tQiqSiCkxXETZBs9BredXnNusxa3+qHOGoAmOgqPRXO4MaWqBD7SmEObNZ5FV1Ui2aypKoGd1mmYjnM1d2ZJl6CDd03/IYhqiOp+CKqGexMH9Jvti6sGdG6z9oJzrEoB/cfvv+QP6P94vCoBXSxzf/fqJoR0rwx6RYAuWJZ5wq0AraUAvRSkewG6aHW2LEB3Wa35+bj79Z8vB9DFDQHxWv74E5srB3Re4u6VQS+l4l6qB90D0Hm7wzuXk0U6A14q7iKg88z5G6e3w5szD8M/Hh8IAH3dRnXfmzbiCAD9Pgz3Q9Cbb74JiqKAZVlw69Yt+PrXvw6/8Au/AKqqwp//+Z8DAMBv/dZvgWEYRccaHx+Hubk53/f6z//5PwMDcnfIgK6HklJpeKVhhlMIXcuJmkg3vNixWNHcLjopZdfdZfR+MUGXJCV09+s4OPIyaPH99gk9295+6zrO5fBeE+mGqVjONY/9m4Mon8tLoRWFAejc5rzn2ji0c/DfS+alsnwuLqeqFFrsMek9C/Zk7P3Fa1EAaR066eHi1znvX2cNwKN2BgXzaiLd+J6Fc2LXIm3vlzLuMw588hL7AuQbkt/5o3bGsSwj0EUnGeA6kNxER521srm91nE8p2FyHvosZouWtvdDPR127Mwo9FrH4WJzDisLOJgrCivHn47nQdNikLb3QyMdgd98+Axarz3ZmHcs7kIwQGYY0KsEHosW26xda82gdVyuIQ/brZOgqrTIZo29rmCzlnMs2VTFhEnHZi2sN8Dc5rzU8hDEeovqfgiqhnvTagH9ducC3GhbQkC/0bZUEaB/a3IIfvSd6YoAvWSJ+188vLYq7pUAuqsPvSSgO5lUCdCFEnd3mbsbcj37t8sAuhvSRSCvCNBd2fqiTLZPiHN8qwBcVmtF7+l6fz+ROAnQS/mgixn0MirupTLoJUXi3IDuaBCIGXT8LCuwWXvj9HZ444k++PZUf8UuNkE8aFHd96aNOAJAvw/D/RD03e9+FxRFgQ9/+MPSvEOHDsHU1BQA+D8E/dzP/RzMz8/7vlelGfSIkb7rmbut9GhFu68vtC+CmLEeIXOY6S0V+QY5Y+0XmhZzrLvYzzut0xWeu46l0zxGyZxnT1YXnZQy5HvJvPT37dZJXCvrHWeQGyM7pNL3ITLr2/P1WLRg4+a2ZVOUgiAfK3nXpTUXep0NLMeOGGk4QJec17H5ol0aF3ATj6MobHPg5KYc+om7X8dL4hWFgXKLPYZiaLMuOzbR9u1icw5V8tvpQdhuncTrmKmXXzdAZnAT51JzDkXuEnQQHovmsF1AVUwUe3vpoXnYRc6gsN6VLVnUBzDDKbjUnIPJmiyCPT+Gpkbh5Yfm8Zz2WYvQREedczLw3Cu1WRsiszBmLUCdNSC1GASxHqO6H4Kq4d60GkDn9mtiBr0UoD+XziCg/83Ef4D3/2oAra2WBeiiD/oDCuhF2fPlAHoJmzU/QOdQXrGSewWA7gXsqwZ0j/fl/ec/fHJLAdCfbiiUuPv4oHtm0F2AXlYkrpQP+msegP5cHG327ny8sRjQnWshZtCl3vPT2xHQ35x5GH6jNxAyXZ9R3femjTgCQL8Pw/0Q9JOf/AR0XYdr165J8y5dugQf/OAHAWDlZYTusdoe9E56uCJYVhRZZE1R/DPfZjgl2Zn5CWVRs0votWY9y2KfOINs73L7i805obdX9wVy0WZNURiU8Wxq4T0Y6Il91hc256XrwoXC+LrRSs4lEidep1rSJ9mODZPzErBdFmzQakmfA6RsreIxW+0JBNmIkZbWGbf6QQ8lEIJzDSwjTM0u0LQYVhJwuza+NlbmXzjGdLxwvnXWAM5z26w9myoAbtzql2zTLmzOo/1ZJz2MZfVuG7qnWlgvPLdxe7y2AO5JOoSCfapKoZb0QcRIg6E3AzHa4FPd57G0/khNFkbJHFCzCxJ0EMvit1sn4XPbnwDL7ICw3gBxqx/+oP/DeH6nNuWxr//x2hz0WschYqQhbvXDix2Lks3apeYcXu9SNmuW2QGZ+jyEtDhuLGlqFKjZhdn1+3/DDmLto7ofgqrh3rQWgP5CBYD+fNsSlr+vKaC7VNx/+uW2ewvo16O+gM6V3CsC9BJl4uWsydyw7Wev5gfopcrcVwLo0rp9hOGKAN1Vxu/Vf14JoJfsQS8D6HfevQnvvPeivw/6V3u8ReI8Stw5oHvZrHFAdyu4c0D/7qmdCOkBoK/XqO5700YcAaDfh+ElxDM0NFQkxDM5OYmZCy7E87nPfQ7//sYbb1SdSJwYlZZCddHJogyzVwyRWUkMrFS4S8b9IkZ2SEJlos2aOw7ZGYRuPZSAA3TJcx5TGS9A/hCZ9dzUMMMpSZhun7WIx3cHL4FWFAaifu+9z1qU4K7XOo7Ca3vJPIqVhbS4JMInHv+QnYGUPS6VeRfWb2BfO7dNY5llHcasBWn9os3aMDkvidztc9m+8ez0BF1CGze+fjFrz1sIQlocDtAlOBrN4uf1kcYcXpdWewKPsZfMO1UZbP2Z+jxMxXJ4Tmzjw4C5zUxlnavED5AZ6LOmMFs/J6xftFlTFLbZwK3g4lY/biD42azx9x6zFnD9pzbli4QKg1hvUd0PQdVwb1ouoL/00DzcdqzTlgPoXITuxQ5vQH/nvRdlQH9r4f4B+ssryKCLcO5htSYCOofy1QK6CLuVALoYZQHdoxfdC9D9flcK0MUsv9f5lAN0LhD3zuUk80EvBei/ZrDPWwT0r3TLJe7fOw9v//Bp+bvoZbMmArpfBt0H0LEH3bkWXhZrAaBvpKjue9NGHAGg36Nx584d+PrXvw5f//rXQVEU7OfjXrKf//znIRwOw6/+6q/C3/7t38LLL78MoVAIvvrVr+IxFhYWoKWlBf7kT/4Evva1r8GHPvShqrNZqyTMcKpCoRG9yF7NL8asBQn6xD5eMVvutlkLaXHM2GtaTOo3v9EmQzATRjOkDLSiFPes86ywooSkjL+ihJz+aopZV/7e262TkhJ6IVvOxNWikR70MxfPLUEHEQw1NeoAcaGcms/TQ0kns2tASIuDpkYx05u296PSvKbFirzLxQqAJxvzzvpZRptXPmy3Tjrwz0D0Kdf6Rdu3i805SNBB0ENJSNIh9GTX1KijZ8DW/2wqC8RoQ5uypfo8hPUGzDZzcO+kh+GQ4z8e0uJwu3MBPx9eQaCHkmCGU/BK1xz0WVNghlPQSEfwMw5pcaefnYChN8OXHpmCmkg3EKMNiNEGH23K4SbSrc4FaLHH0Gbt5KYc1NNhtFbjr3nGtf5zjs2aojCIn03kIW3vh7S9H0bJHMStftC0GFxszgUZ9HUb1fcQVG33puUCOrdQqwTQX2gvgHkpQH/3p68sD9BL+KBLgP7F5P0BdAfOEdCdLPqqAL0EpHPxt1LWancD0Ev1oq8I0D0y9v+aa0M45z3oywb0Cn3QywK622athEicV4l7JYD+3VM74TsnP4CA/l93nK5YByiIBymq79600UcA6Pdo/Nmf/Rl4CeLMzMzgnF/7tV+Dzs5OiEQisGPHDvj93/996RjvvfceZLNZiMfjQAiBgwcPwj//8z8vax13E9CJ0SaJuflFpj6P5cUrjVEyV5GonaqSopJyHiNkTrrRDJPz2B/sPobogX7Izkhl42K02hNSKf1CkmVd3T3ivAzc6xhddFL4m4HWX24btJ3WaWlDoc+agrS9HxSFZW55dpeLlvF5e8k8gvUuckaCwSEyi5/NAJnBnntNjUrrP2RncI1ij7WiMGAW18+tybjNGp/3WLRg47aHXIDt1knM2vdax/HzVVWK1yBipOG5dAarAvaQCwj++6xF2EsKveEjZA4B3NCbUdyuzhqAz+88hZ/hqU15GCVzuNFxLpHHYxyNZvEYYb0Be+fdNmt7yTzstE5j1UivdRzCegO02GMQt/olm7V2ehCt7x6vzeFnuJuchX4yjT3xQazHqL6HoGq7Ny0X0G91LsAL7Yvw0ioA/dPbzsFfH9hbHtC/M125D7pXD7ob0EUVdz9Af6UA6D99yWSQXomK+zIBfdkl7msM6F4K7+W80NcC0N198uU2BIoAndus8RL3T2wureIu+qBXUOJeNoP+31pKZtC5zdo7l5PePejOubpL3MX+czGD/ubMw2i5GsR6iuq7N230EQD6BhsrA/TKfM3DekMJq7TKjnFhc963NF7Muvdax33f61wiL2WxC6EXlX/7ZfIvbM6jzZeqmAJYysfgGWW+viQdAjOcgu3WScmrXFWp0Msu27iJKuWqSqCRjoAeSsAuckbaMNC0mKCYb0A7PYjrzwvidapK0C5tlMxJGfE6a0DI9huSCr1opSbavh2yM1BPh3H9KXtcKI83nFJyHc+F2b4lYZicx4yxqpioyq6qBLbSo9BPpvFvBUE9A3INTMmcl7FzWOZ2bI10BFSVwDA5z9TRHTV0fjxNjcLllhxso8dA02JwYXMerwFXYE/b+0FTozCbyMPzbUtMKV8l8Dt97DMzwyl4vm2JidapFJ5szEMTHXUU7glEIz1QZw2gujvbACnYrHH/82dSfCNGhzN1xTZr/Hi8P15RDFzX/b9hB7H2ETwE+Y21BvTn25bgWmtlgP5ixyL8nx/aD+99Y09VAbrYf+4GdIT0Ej7oawXoIpyWElorB+iiWrifgrsnoHv0g9+NDLq7D108V08PdEf9vqgH/eomeO96tHJA9ypxrxTQ//sW9n2qENDRau1/TS8L0DmkvznzMG44B7GeIrg3VdsIAH2DjeUDuoFZw5WGqhKEJ3ewzLQhzfWCecvsgCtbsp7HEEvDC8fQIUEHJcG5uNUv+HvLwXys3ccIIXDz3zfSEcFbXLZgE4XU2DkY+BpRXb7VnkDArbMGhIy7DMniMThw87/1WsfxmibpkCRex3umNS3mwC2D55Q9jh7g/LrxbHeM7MBz0dQo9lvroaRUds43BfgxxqwFaKKjYJkdThk+xdcxNXMDzHAKnmop+JozYTr2OXfRSTjk2KxFIz3og84/c65Ab5kdcL11CTPWl1tyCObb6DE4U5cHanZBkg4BMdpAVSlspUeh1Z5wzoV9H/7rjtPYJ//bD8+AqhLQ1Cjc7lyAE7U50LQYdNLDjnc5hX4yDdutk04GX4d6Ogyf6j4PMbID4lY/PJdmNmuaGoVcQx5t35roKAriddLDsI0ewyoMDu4xsgNqSR+zhlNM3Ezgmxj3/4YdxNpH8BDkN9yAzgF6NYD+vAPn5QD9Zvsi/NXof2SAdLcA/Q8bZED/3ejdA/Tn4kWALvWg3wNA94PuSn8vwbJPJruc1Zpv5r8EoLt7z8XXuAFdslkrBei3y5S4C4DuKxJ356oE6GizVkEG/d3n4p6ALmbRRUBHSBcAnZe5vznzMHx7qh/v50GslwjuTdU2AkDfYGMtS9wrtU0rFac2eStWD5Pzkt1YqeAiZe7fd9LDvqX0262T0qbBhI/oWhed9FWVHyAzksI7D02Nouq3orBycw753Buc/00uiS+EHkqicJqisPJ1DvkzLtu0TnoYDL0Zeq3jmG3mxxBLyvvJNAI0LztXFKaaz/vad5Oz0jWLGGnM4vdZU5LCuLjZUWcNYGm2WELPjy/arInH59CqhxLwTCqLfeWP2hncdJhNsJaIRjoCMbIDxiWBOQP75y2zA251LmDp+l4yjzB+ZUsWOulhzILza3uiltnDndzENkaa6Ch88QMncf2izdqzqSxspUchRnZAkg7hOR2gS9BER1HgrZ4Ow+WWHOoDiLZ1Z+ry0E4PQtzqh6dacni+Y9YCxK2Cx2zKHg8s19ZlBA9BfqNSQBd/rgTQ+c9uQH+xYxFudS6sGNB//P8dWD2gl+lBv1eA7umD7hJYWy6gc+j2sk/z+p3bI90N6GLmvBJI9yrNr6TMXczYS+cprMEN6FKJOwf0azH22XgB+mtmAdBfb0JAf+8bexigv7WAInElAd0tEuf2Qb9hl8ygc0Dn1/+t2R45iy5kz79z8gMsi+54o1fq5hPEgxLBvanaRgDoG2ysJaD7CYWoKvFVI1dVWlGfekiL+3qa7yJnUM1bDh1+ZesFz9ewDHEBjDUthiECsqoSybZLBM2PNuWkvncuttZFJ12q6jqKw2laTLqRiaJxTHSO/VsUibPMDtC0GF4nbpumqsRlNadjf72qmFBPhxEmqdklnW+fNQW7yBnQ1CgQow03DFTFxKy9qhLnGOx1C8k8ni8XMOOl+uPWIpjhFESMNBCjDUvsE3QQZuJ50NQoRCM9kG8otABwmzVNjcJkTRaB1n2+aXs/PO5ks2si3VIFw/XWJRTpm03ksS9+IZmHuNUPYb0BknQIdpOzMO6o4vPMPLc3+9z2JyCsN4CmRrEMPmKk4fVHTkCM7AAznIK0vR8ei+Zg3FpEmzXL7ADL7ABqdsG1VtavnqRDkKnPo83axeYcGHozhLQ4POfYrCmKDofsjGSzxs83GumBFnsMJmuyoKlRtF+riXRL370g1ksED0F+o1JA55ZqqwH0W4LAnATo3/wQ/Oid66VV3MsBup8P+loCuigUVwmgl1Bx97JaW04G3atXaDcCswAAIABJREFUvJQHul+m3Ot3XoDuLjf3K3VfCaB7ldR7ZfDLZtC5SJwfoHuIxP3kL3csK4MuicQJJe5ukTgO6KVU3MXWAz9A58EF5AJAX28R3JuqbQSAvsHGvVBxd/uaixEx0ihk5g5R+VuMIzXZVcPKkZpskaK6ojBwFwXgxCBGG2Zn3eG9QcCE27iAmaKEIBrpwV70LjopCYBxoRW3bdoucgbLxyboEmaszXBKsoQTI6TFJas60TaNiZ+xDC41uxBq2+lBaT3cNk1RWFm++DkVsvkGqq4rCgN/fr6izVpIi+O145lhfgxVJXi+1OyCp1oKlmcH6BJuEMxtzmMVRRMdRfX9XeQM1NNhrHpI0EFJwI5VGLDWgOutS5hx7yfT2BN/opap+fNKh+3WSdhDLkCdNQCTNVnhu2hgy0DESMPLD83jNXvUzpS1WdtKj0I9Hca/EaMNVexHyByzxXPOdzqeZz3vign5hrxndUYQD3oED0F+YzmAzsHaDegvPzR/9wCd+6AvE9BRxX21gP6SWR7Qr8WWbbPmC+gCxLmBuBKRuHKA7s6Ue/WfIzh7ALpXRn2lgO4bPl7oJQFdFIm7YbNqhwoAvVSJ+513bxb5oGOJuwjo7gy6uwf96QbJB51fBzego4q7IBAn9qB/72xvxVa2QTwoEdybqm0EgL7BRjXYrPmFl4K6orBMs19G/kxdwbpKDMvscPWEF+LFjkXw6nM/QJeKetF57CZnJZDnkKYqpvQ+ltmB4nW5hryUcY8YadBDSWinB13gb2CpMxdT439jv2dwLW4w9FlTCP4hLS61CXDbLm4JJ2bqC9ZrOtRZA7i+U5sKonhhvQHCegMYejMk6KBkg6apUTxeTaTbEYvRIaw3OKBebLNWS/qwXH3cWsTScD2UhJAWB8vsgLDeABc2syy4pkZB02Io9KepUbjWylTjVcWERjqC3wcO95bZAe30ICw5ML2bnIV91iI00VHQQ0moiXTDtVbWL/5aD1Oq59ZrX/jAKYTkr3xw0nlfA5bq8/g5fbQpB410BOqsAaglfXA1nYE6awBa7DHJZi2kxeFm+yJm6y8259BmbTbB+uQtswOeaslhKX6fNQWjZA6/56pKIUZ2YPb9fv//Moi1jOAhyG8sB9A5lIuAzj3Rb7Qtod/5865ydi9A57+754DuZ7P2a8bdAXQB0hDKXWXuEpx7AHoR5JbpQS8F6V6A7s5ki4DOIdkP0MXMNgfQkgr07vW7Mupi5txtt+b2QS8CdCGDLgL6z171V3HnGfSSInEOoN/5+6PeInGf8c+giyXuP3xyS1EVhCege/igc0D/34aPVMF/T4MI7k3rdwSAvsFGNQH6duuk5OnNQ1OjUpZWjCM1Wc+e9RZ7TOq/FiNu9fvC/wGf3vMBMuNZYk+MNs8NAUVhYMszp+4Y9emnT9v7pVKxuNUPo2QONC1WtFlwzlH2VlUiKcTvJfPYJy/aphGjDRXb41a/pGwv9rhTs0v6HGYThQy0mLEvtkEr2LhxVVcznJJ85r1s1lTFhAEyA0ejWclmjc3X4cLmPAoTpuxxbEEYIDPQSEdY6boaxZaAaKQH2ulB3HxQVYLVBIfsDDxem8O+90ftjNRTzsr7dUjb+1GNfpich7S939l4KVQMcJu1jzYVfMr59eU2a/y7IdrE7SXzaBPHbdYUhWX+66wBzOJzm7UWewz6yTQcqcn6tnkE8aBG8BDkN+4FoN/0AHQ+9//Ye0AC9Dvv3iwJ6L4icWsF6K/e/Qy6L6BzAPUQWqskC+0F6OLv3OrtfirqpYTiRNE2t3ib19orBXSv9ywCdOEaLQfQS9ms+ZW4F20WlRKJ44D+slHkg+4GdLwewufFe9B9AV2A9L8+sNd1rw/iwY7g3lRtIwD0DTZWD+jeGT3eT+yOtL3fV+0zbe/HzLEYqkp8lePZ74uz33GrHzO7DJ4K66Rml5Px1ovgXhSKE3u22+lBzNKKvzf0ZrTsGiFzkiVcSIvjJoGY4VaUENqI8fJl/vtGOoKZ8dlEHoFMDyWwxDxljwsAy6y8+I1RtE1TFdP5Pbs+4vvUkj5sE3jULviIq4oJZjgFcasfLLNDKmVXFIMJASomGHozE7hTTMkGrXA+7D2vpjMIw6LN2uO1TBCtiY6CpsVw/XGrHw7QJec6GqAqJr7mo005qLMGWObcOWcO18+lM7jpEo30oHXZhHMspqZe+B7VRLrhmVSWbWA4SvZ7yTyoigl6KAlf+eAktNhjoKlR2EqPohL8rc4FLJHngnmqSmC7dRJGyRzstE7D0WgWfeY1NSrZrJ2ozTErNcUERTHgypYs9q2LqvVHarK4noVkoSokUHNfbxE8BPmNDQHof9hQHtB5ibsHoP/kdqQiQOd96J6ALpa1rwDQi0C5AkB3Q3g5QPcEdhcki9ns5QB6uQqAigDdlUEvJRKHgP6SWQzoX0x6l7i/tVDSZu3O3x/1FYlzZ9DfvbpJ+uyLetAFmzW/DLo7+N8vNQd+6OsngntTtY0A0DfYqATQmcVUMRiE9QbfTLS/z/nqSnRL9az7QfyFzd4+6KVs1iJGGnuNidEmlYU/62RSFSUk+HWHELoUhUG0LJrHADesNxSthV/bmkg3PBbNFf1eUUS7NR0hWVFYNpZvEIi2aWG9Qcpii6J4mhrF7HsnPSxtYMxtLoi4Fd6HZb35BgO3QeOQzDcuqNkFJ2pzoKrE12ZNVUzhPdm55QSgF89tFzmDGx5NdBQ3LnZap53XsONyMbxa0ge1pA8uO+X0vIRdVSn0WsdRsE1RQvDSQ/PO58OE9XjW+lyCnaemRmE3OQtfeoRVQDxem4Ob7Yso3NZER+F25wLU02F4tfs8Xvc+awpt1lrtCcg15LH3fxs9hjZrW+lR3BxI0EEs+W+nB1EZnxhtcDSaBVUlEDHSUBPpxvMOYr1E8BDkN+43oP+PPYfhZ3/YAG//6FlvQHeJxCGgf/ND8N439txfQL9hFwBdEIpzAzrPnlcE6B6QvlaA7icU5+499xKg8wN0SSRuBYDu+X4uOC/Zg/7xRn9Av+UD6MspcecicW8tFErceQ+6F6DfihRl0KXPWQB0cePEzwtdiif64HtnewNAX1cR3JuqbQSAvsFGJYAejfT4KrTfjdhpnZa8xcWoJX1FPuc8eNayVHykMSd5lfNw26yJESM7fEu3ZIuvQvSTaUkwjAMwMdpwU2Onddpzs0FTo2jzVRwGlpkTo00qyRdt02YTBZCLRnowk7+bnJU2CERbM3cbARdkU1WC1/xcQgbEITK7TJu1wvojRhrX304PQq91HN+zsH62OSDayrE57Hpe2ZJFiG+xx/DcHosWfNZVleDnlKCDWBUwQuZggMygON9LD7EyeE2Lwc32RanknpekX25h2XBR9I1XH8zE8/i5XWrOSTZrQ2QW9pJ52EXOoA+7osg2a5M1WRggM6AqJoxZCwjtJzexygE/i8AgHuQIHoL8xloD+g2fHvQX2hc9Af1Lj0zBnacb4O0ffOzuAPrrTcUl7svxQRfL20VAdyC9YkCvtMTdBbpuuK0Edv2ipOe5Hyw7vxcF6/z8z/02F8qt2VcozqUcXxGgOz7ovoBeoUicVw96kUhciQy62IPuB+iiLoAXoIs96CKg+wn7BvEgRnBvqrYRAPoGG/eiB91LLV1RGKB6ZeZFi61SIVuMFUIPJeGFdm9wFsvreeaZvyfPBNdEuj03JGJkRxGg8jDDKSe7qUvZdv439m/dyb4X3lP0Iedrq7MG8LySdAgOOYrfht7s6kE2QA8lQdNimO0vZZvGbc34Nb+wuSBal6CDkq0Z79ketxaxH72WFLxODb0ZgTykxSFipPE9NS2G5fRxqx/0UMLTZu3ZVBb0UFISglMU5jXOoTtGdiCoUrMLM916KAmG3gxmOAWW2eEI/bHzvZrOQFhvgJAWh1rSBzfaCsr3r3afh7De4IjFJSCkxaHFHoOr6Qxu0LTTgxCN9EATHYVe6zhm5B+L8ky7DnGrH369l1VstNoTcK01g3Zq1OzC63G9dQnXUmcNoK1cLemD2UQevdGTdAht1lL2OEzWZFHZna+rJtKNawlivUTwEOQ3VgLoXNHdDeiiavu6AHQH0pcF6K4+dNEDXQR0DC9Ad1mteYm0lctG+wG6nz+6JyyLxxd6zysFdM/1+gG62z7Oq7y90gx6KUAXM+iODzpm0AUf9CJArzSDXiGguz3oSwK6K4P+D8cGfbV/gnjQIrg3VdsIAH2DjbsP6PqqhEMO0CUJpMUYIrNlj81F1rz+5lfevpfMoxAZL9l2z0nb+33K+w3MyJrhlK9lmx5K+Fq2sQwvy7CKlQSd9DBmpUXbNDGo2SWBpmibJtqauTP/Yq85twBzVzFwH3F5PttQ4KX+vdZxyWaNZ569bNb461nmXhf+XbCJYyJuRHrPIzVZ6frvJmdRFG+yhpWEj1kL0EhHsB+/IPrGPt/CBo6BmwnU7IJTm/JwuSUH/WQaXn/kBF7jgtq9AQvJPBypyeKGChO9Y9etkY7AMDkPUzHWa84fVvaQC7BUn4dt9JhkCUeMNrSES9nj8GRjHs+Xb8yoignj1iKMOMruooVcEA96BA9BfmOtAZ3P8QP0W47FGs+0uwG9nA/6igH9i8nVAbq7xN3PC10EdFEgbpmA7lUe7ge7RfZoFVqulQR0F0x72aqVgnVfcbtKAV2wWfPqda/IB/1WGZs1N6CXyqC/teCdQf9sjadIHK+m8OtBXymg8z70QChuvURwb6q2EQD6BhtrBeiqYnqqqVcarz9ywvP3casfIYllUot72AfIjG95ux5KOPZVhm8mXw8l4Lm0A0MqkbLUrKyYvWchEx7C7K2iMEsynjUX30NVKZZ295NpSThPVUzWF66YQt+WUaTSzUu2Db0Zs/c808pB7qNNOeA93CK0m+EUZshPbiqUfPOedH58DoKibZoeSiDca2oUe5+57Rtfl6qYCK+G3gzEaEMbMX7dFSWE5xjWG0APJSBipMHQm2HMWkCIvbA5j9BNjDa0HUvb+2HMWoAEHQRNi0ETHcVjXXU+t7DeALkGlpHW1Ci02GOYqb/ZvgiW2QHEaIOIkYZa0oeWai8/NA8hLQ7XWjOQssehng6j9Vk00oO+7LyfnxhtkLb3Q1hvgDprAKsTBsgMLNXnHZG5BBOYc2zWnkllIRrpgRjZgTZrqkoh18Bs1pJ0CC635MAMp9DS7rFoDqKRHjhkZyBt74cY2QEz8YIt2/2/eQexNhE8BPmNlQI69zFfLqC/2MEy59daM3C9dRWA/v/8hyJA/+lXuisDdL8e9E/dZUD3gnQfm7W1BPRyVmuevecVArofpC/LA911LiK0L8sH3QfQf/aqwT5fvxL3b37I0wfdy2bNTyTOywf93efirMWhjIp7EaB79Z+77Nb+dPdjENiBrocI7k3VNgJA32BjrQA9GukR+oy9g5f2ev+9/H/QeUl0qTl91pTnOsxwyun9Lf0eSTqEGWR3MBBmEO+XGb+wuZAB5WXi7thKj3puFlhmB7533Or36Tk2MCuth5JSJlpRCr3bBTs0vUg8byZe6IF226bxnvhDdgY3INjGAgPtGNmB51VPhxH0uQgb/5z9bNZObcpLJfaKEkKbNXGNfDNCtIkbIXMwRGaxomIqlsNrwMvg95AL0E4PYtVEJz2M37kRMgc32ljm2tCbMXMuZqX7yTR8efcxfM9f2co+55AWhwm6BFe2ZKHFHoNPbzuHWXuWpWfXZ9xahAm6BC32GDzVkvO0WeOVH9w2b4TMQS3pQ5u1U5uYajtXtOf//0rSIcmWLYj1EMFDkN/wA/SXHpqHl51M+UoA/aYA5W5Av966BFfTDND/oP/DKwd0l4p7EaD/9y2rB3Q/kbh1Buj8ZzzeCgDd/W9pvV5g7ldO79OHXjGg8xL32xH46SslfNCXmUEvq+L+suEpEnfn441Y3v6vuTZfH/QiQPfxQ//++W741mQhqRHEgxzBvanaRgDoG2zcSx90VaW+FmvinNd6vC3a3PO8fp+yxyVxMK852+gxBGG3BRsPM5yCpXoO9DqIqvSqYsI2egwURXe8sUPCsQrH4EJiYo+4orDed54pz9QXerLF9VKzCzcaDtkZhExxjphN3kaPIWQW1sfWziHRMjuEsvWCbZqihKQM+ZKw1oLNmQ5n6gq2b6pKsCddVQlmjBUlhDZrXE2eW54NkBnJZo1/TtxmTVVMqLMGEEoHyAyWj6uK6ZSoG6BpMVxjnTUAz+DGjYEq6qpiwrXWDNTTYccijcA2egw0LQYXNucR8l9oX4QkHYK0vR+V17n6/O3OBSBGG+Qb8tBrHWcCbipFn3hVpXCkJguZ+jz0k2m0WeMq7tyCLWWPw0cac6BpMRghczAV477pBirYh/UGuNySA8vsgHo6DAvJPNrWnUvkoZb0Qdzqh6daclLbQhAPegQPQX7jbgG6+2cvQL/RtgSf2/4EA/QfPn33AJ17oa8Q0D190D2s1jic3xNA94BaDnxuRfdy5e0cEitRcfcKN7CLKu/l7NVKgrpPBt23xN3LZq0MoJdVcX/nOrz9o2f9S9zFDLqHDzrPoEsCcQKgczivCNCd3wWAvp4iuDdV2wgAfYONewnolUYlivGf3nau7JwrW7I+YnMGwvRj0ZyvbRuH4S46ib3MxXMYXIuiaaWO5c54i8DNM9CqYkKrPVGYI2wiLAlAz2G3YFvGNhEOCb7m7DjFFmbb6DHsVRdtvlrtCQRt0QfdMjuwjD9Jh+Baa2GDg2eiNS0GjXQEbdaeS2cwa/yRxhyCM19vSItDIx1BSD1TxyzJ+KaAOH8qxuB1L5l37OQIW6saxQ2JPeQCborMJvKofB4jO+CZFBOea7UnUEU9QQcRdrfRY/D6Iycgbe+HRjoCn9l2DgX32MaHAUk6BF/4wClI0EG0WeM2btutk+ihfmULE3irJX1ws30RQZtff1UlMB3Pwy5yBiJGGvINebStS9v7QVUJqIoJe8gFmKzJgqZGYSqWc1T6CSToYNlKkiAelAgegvzGvQD0mz6AfrN9EX6992xpQF+ND/pKAP3VlQH6u1c3rQ2ge8BuEaD7wO1qAd1P2d3dC14JoHtarFUK6MIGxLIBXVRxvy30oPMSd9EHXcigl1VxXyWgiyXu4rX4lwtbEc5LATqHdJ5B/+cTj/g+UwXxIEVwb6q2EQD6BhvLAfQ6a6Bs/6uhN1eU4aukJL7OGoCFZOmydFUlcGWLtyWbGKJ6ul8wVfNEyTmi77hftNhjUr+5+/WKwnqmuZhcEx2VrONUlWBZOi9Z10NJSZhNUQo2aKzcngE8L3/nsZuclUrEC3MKO9yd9DCW3PP5E3RJ6rkXbdO66KTUf883GfRQEoXYKrFZE+e32hNC1r+wVkXRsZ0gYqSl9oPd5Cxu5hRE7wzMrnN1d159sJfM4+bDlS1Z6KSHIW3vh2utGRizFsAMp2AXOYPrvrIli+XytzsXYCs9Cil7HOqsAdwIGLcWoYtOwri1CDPxPCTpEJ5TEx2FBB1E4Thus5ayx/HzNfRm6KSH0eZugMxAIx2BfjKN10lsAaiJdMPF5hxuqATxoEfwEOQ3SgH6SxUAOgfv50sAuvjvUoCOfb93G9BFkbjXzLKAXkmJ+5oBuoeXuKiGXgp2vbzPy/mfu//u14++HEAX51bah+5Wbxez9n6AfufjjXDn6Qb48Sc2+2fQvQDdo8T9nW8dKavi/s63jsgq7p+PF5e4lxGJE3vQfQHdwwfdDej/cmErfLLLW5g3iAcpgntTtY0A0DfY4A9BvES41P9heWav9P+pDd/yc+lYTnZUVamvpZqqEgQRYrT5lsfzTYMkHcI+cb85qkrgVidTE3f3xDPoZODKbbt4ppXP4QJfisJ60kWbssK6KYS0OCgKy2ZzETRRNI3barnnH3D6l/n8woaIjvNb7QkE/YiRRuhUlIJInaE3I9yHtDgCNRdJ4/MvCVl7DtEFEThR4I39m9t88fn8/abjeVzrRWG+n83aqU2F+aLNWtzqh6PRLNRZAzBMziMI10S6QdNiaMu20zqNAHuiNgdJOoQia/wcQ1ocS+yHyCxWQVzYnIfd5Cza0VGzCxKU2cPwHvUJugSXmnMQ1hsgbvVDTaQbLLMDqNkFn+o+j5/P1XQGv8ONdARt1q61sh5+M5yCa60ZtLerp8OgqVG07KNmFxCjDd9LUQy41JxzLPgInNzEKjxqSR9Mx/MQMdKghxKCqnwQD3YED0F+oxyg3yoD6BzSywH6ix0s214O0Its1lYD6FwkbqWA/vLKAF30QHeruJcCdLeaeyWA7s52lwJw999L2a65hdr84HxFgF6mf16c4wXovAcdLdY4oAsicWizJgL6b1pFInE/+csdniJxXj7o2IPuzqC/5m2zJonEXWySAd05/1KAXqTi7gD69872wvfPd8Pntj8RVHk98BHcm6ptBIC+wQZ/CGqmeysC67UOropdbt5O6zSWZJcLTYuhX3apsMwO7Hf2C1Ux4eQmBkNc+Mwr+BxFMYoy3Twm6BLCdEF13kBrMXfsE2zN3JZnPHqt4wjcY9YCzhePKdqaiTZoe8k8ZqC5rRmfz7PZbts0fvyQFsestd98RSlYo/nZrG2jxxwldNlWzr2eyy053AwQbeh4FUJIi8PVdGEzZJ+1iJsS7LvANgzOYUVCAj697Ry2CZzclMMNA3FD4td7z+I57CJn8DwP2RncMJqO56GdHoQ+awqeasnhxkEnPSzZrHFf88eiOfx8iNGG32uuIq8orP8+bvXDEJmFIzVZT1u2INZDBA9BfqMcoHMQLwXoNysEdP63a62Zew/ofj7oHNAdi7WKM+g37IoBHSF9lYDulYVeCaCXyqZ7gbJYZu4H525xuJKbCz6Azsvz3eJwpUTi+PV1q7j7ZtC9AF3MoFcI6D/9cltJQMfvggvQxT50fs5egC6Wtb/xRB8GB/S3Znvg++e7yz5bBVHtEdybqm0EgL7Bxt3sQW+xx0qotheHHkpK2WCv6KKTWMLMM7PF8wwsQ2+1JzCT7P++CSyTd9usicGPGdLi8FRLzmd+IePOLcDE7DfvvRbn897uQhm+XlRVwI/JfLLZRkrBnk0vsjXjx8w15KU+efFa8/mTNVmIW/2e80XbNAbebAOCz2e2aUkgRhvO5+c3tzkPeigJkzVZXI/bZi1ipCGkxaHXOo5l35M1Wainw1BL+orm77MWIW3vh+3WSRgm5yFJh/B7ELf6wdCboYtOogr9ZE0Wuugk7CZnYZ+1CC32GOihJIS0ONTTYYgYaegn0zCbYBZtN9qWoJ0eBD2UAD2UwPL/aKQHXnpoHiJGGrZbJ+FaawaSdAiebGSCc5oWwx58PZRAcbmIkZZs1mbirDeeVwxcbM5hhcPFZma1lnfs1zQ1Cnoo4fSnU9DUKDybYv3tZjiFmw1BPMgRPAT5jbUC9FI96CKg32xfhGdS2coBvVKRuL/cUf2AXqbE3a8X3QtuvUrR/WDbr+98uYDuBeleFmviXF849xC4KxKnK2OzxkvceZm7p4q72wddLHEXAB1F4vxK3L93vnwPuiuDLqq44+fMAV3YlChb4s5/DgB9HUZwb6q2EQD6BhsrBfQY2eGrkr7SOBrNSr3Y5WKftYgl0JVEOz0olaJ7hWizlrb3I4j6RYIOYul0iz3mOV9To9gbHrf6MTPcSEekbLM4n2frI0YabbVEWzP3fJ7BN8MpFJhzz+dAp6oUpmK5ssdHGzSnJJ3P517lisL62TnQc70AVTHxc1yuzZr3fHb8OWE+h3kznIIrW7K47gub87hpI9ri8WtumR3wya45tLB7NpXFTSF+jqpK4Dd6z8KjdgaikR74wgdOYduBOJ9nwVXFhGdTWdhNzsK4tQgH6BJ+D87UFdbD++q5Un6fNQV7yAW0WVMUVinCr8+RmizssxZRyb3XOg7D5DzsIReWtfEVRDVH8BDkN+4HoF9uySGg/8b9AHQvkTg3oP/yKgH9E5urHtB5L3MlpeZegO4F517Zf8/ydpfvuR+ge9msSSJxQh+6COjv/yKtCND9ROL8fNDf+8aeYpu11/x90N096G5A50ruEpyL4QJ1DvIBoK+XCO5N1TYCQN9gY6WAbpkdFfSjF6LXOl42Oy7G9dalsiJyYlxqzgE1u0BR/C3YknQIvatzDXmhL917foIO4jHPJfJl7dviVj/On46Xnx8jO3ANU7GC8BefL9qUKQrreebHfLy2svn8+I9Flze/YINmAC8n5/N5GfYucgZLxE8I81WVoFK7l81ayh5HWB0hc5C296PNmh5KSvO30qPQYo+hr/leMg+t9oR0fK4cP0Rmodc6Dq32BD4cPGpnYCs9yuzXVAJmOAVpez/URLqxYqHPmoLpeB7GrAWYTeRhiMzCCJlDW8Bt9BhEIz3wvNOf3k+m4URtDnaTs3CkJgu91nE8Pi8/J0Ybbih00sMwZi1Ar3UcRskctNoTeL68ZN4Mp+Dkphz+bQ+5AF10EobILKTscWi1J1AJns+vpI0jiGqP4CHIb9wvQL/WmoEX2hfhd/pm7h6giyJxDwige5W5lwJ0ryz0SgDdV03dB9A9wVzYXBAz6KUA3b1ur40B6T1XAOhos/aaWShxf72pGNAFkTgJ0H/wMfRBLxKJ+2xNocS9ApE4fm3Ec14OoLsz6H829J8qcuQJolojuDdV2wgAfYONe2ezVhCgK6cErygcmhkYiirllcy/3bmA78czs8XzCc5n4MXmb7dOlpjP/s3Ajs3nit2l5os9zRzIRMVy93zWk23AuURBVZ6DMM4XNke4TdlM3Gu+jjDonj/tM5/7dysKA2LutT4rrActw7htmkogpMXhycY8ZpuZb3qxzRp/rabFnB7tggJ9uflMr0AHy+yAa60ZbAV4JpXF+dwLXdNizK5NpdBrHYeLzYU+9pce4v33OgyT89iqMEBmQFP2/VN2AAAgAElEQVSjMEzOw0sPzeOGyG8/PIOWbp/smsPz3UaPgapS2EaPQa6Bla830hG4siXrfCeZ6JvbZq3VnoDpOPM3T9BBp7WAAFehVxXTqSQw0H7t5KYcRCM9OL8SV4Ugqj2ChyC/UQmgv+DYqS0H0PnvywH657Y/Ad+e6ocf/7/j9xfQP+NAugjookjcrdKALvqglwN0qRfdpeK+HED3UkIvBehugbi7DeiVlreXy9y7AV3sQUehOJdI3Pu/SFEkTvJBd/WgF2XQvQDd3YPukUGXetBv2J6A7lfiXgToLuV2sQ/9zZmHJaG4753tLeuKE0Q1R3BvqrYRAPoGG/fDB71c2bg7WOmxDoqiw812bz9yv/ATbPMLLsblpwbvDi6UlmsolF+X8kPnpdb8f1XFhDN15TOhBdsxAzOnxGjzLSMTbcq45Rsx2rAcv9WekDzZxeNzkbOIkcbjt9OD0qbCqDCf26DpoSS2HLTTg7h5Idus6b42a1zwjh+7z5qCTnrY8/gchGNkB34G/WQattKjKEYX1htggMyAqhKck6CD+J0YIXMwQGbg8docZOqZ0Ns+axFUlWLLQIs9hq0BY9YClu7PxNlGxDA5D0+15PA6EaMNz2m7dRI3Ph61M3jMC5vzeA3McApbBrbSoyiYOGYtoGDedDyPn+GTjXmcn6RDy/7/UhDVFsFDkN+oNIPOLdKWk0G/0bZUEaD/xf9yCH7y1Z57B+hiD/o9AnS3UJwnoLsgtxSg+1mVrQmge2S7fQFdWKv4cyWA7lWe7wXo/DpIgM6z5xUAulTiXgrQBZG45Za4I6DfihQD+tMN8KOLTQjo/5prw3P+/vlu7EF3K7h/5+QHfIXi3px5GN6a7YG3ZnsgUx9UeT24Edybqm0EgL7BxloAOgeolQQH1UqDl5BTswtLjisJy+yAZ1JM/bsSn3axPP1aa8b5N0XQNPRmSXRN9KXm6uHRSA/CdFhvwPlcAMxrPoe4ndZp7LO2zA4sw4+RHcJ7GZhx3m6dRHgURd9Yr7IuiI6x+ZoaxTXw+cPkPEK429aMi5opSght0PaQCwijos2a2zZNDyVAVUwYIrN4fFE1nQulaVoM6ukwzueWZCEtDh9tKsxnAn2sIuF66xLOb6KjKKz2XDoDCToItaQPbrQtYQXBp7rPQ1hvwAx1SItDiz3m2Jex8vovfOAURCM9UBPphi/vPgZmOAURIw2/3nsW9FACmugoGHozhLQ4xMgOFMiLGGm42b4I1OyCW50LENLioIcS8EwqiwKINZFuMMMp0ENJMPRmuNjMWgN4b3sTHYUnG1mlAjW74EQty/pzoT7+Prw8n3++9/9mHsTKIngI8huVAPqNtiW0U1suoL/YISu8lwP0Ih/0txbgR9+ZXr0P+n0EdMlurUJA50DqK7RWgQ96KRs1EdpXlUF3A7rHmsspuEvn4/G+JQH96YZiFXde4n4rAj99yfTvQRd80O/8/VFvQOffxTIicV42aygS5wXoThUEB/S3ZnuKAF0Mr1J3/rrXHzlRBf+NDSK4N62PEQD6Bhv3I4PuFStVpVYVE3t9K53PM9aW2YEZ5U56uKiM3B3EaMPsLO+DVpQQDJPzZUuNU/Y4ip8NkVmcf8jOgKqYMELmfH1Dd5EzuGHwqDN/mJzH8u5Ddgb8IG2CMjjdQy54zvezeBshczifzSltgyZm1yeF+aLNmjh/Kz0Kht6MmWEeXrZsddYA9FrHwdCbMfPcREfxeu4mZ6GeDmP1Q4IOQj+ZBjOckioG+GbCmLUAKXscTm7KwUIyj4r81OxCMb/t1knceDpSk0VxwYVkHqsrrmzJss9PJXCjbQmPP0zO40YO/7uiMJG7ETIHh+wMtNhj0E4PwiE7Azut0/h9GLcWcT4XK9xnLUIjHYFWewIm6BJst05Cgg7CKJlzMv5rK9YYxL2M4CHIb9wLQL/e+oAAeqke9OUCuqDivmxAF0TW7jage4qzecCyr0hcBYDO55fKoJcCdL8Sd09Avx4tAnSpxN1HJA5V3H/0LH4PpWqOUj7oPoDuzqCLn60I6GIW3d17XmS3JgA6L3UPAP1BjuDeVG0jAPQNNtYa0Aul0ssLVaXY68wzt5W9Vsee5wQdRHjitlelXqupUVT/5llSRQmh5Rb/fbk1RCM9mI1+qiWH2W5usyZm2sV/Kwq3Q9MhGulB0BJ71gvzdbwmqkqgng7jfG5hpig6XHSs1wy9Ge3lVJXgteBWYDyDLtqf8flpez/CNLcm4zZfCTrIst1qVLBBS+IGwj5rEVL2OPRZU1gBcDTqbZtGzS4U7Rslc5LNmmgTx68tNbsQfOusATDDKVAVExrpCIS0OIT1BrjcksP5vB1C02Lwya45IEYbRIw01JI+0ENJMMMpaLHHnEx3Ej6/8xSey+/0Me2CP+j/MNRZA5Cgg3C7cwFa7DHn+5lwLNsSmPk39GZ8zwQdhLzTJ95OD8IEXYIkHYIxawHL4XnGXlHYpgXr8U9Ciz0Ge8k8dNLDMELmcKPiTF2hvP1Scw7P4/7fyINYeQQPQX5juYB+q3MBXl4hoN92yt3vGaB7qbj/bnRlgF5GJE4EdHcW3Q3ofiJxpQBdBFY/QP+fCw95AroXkHtBuycse6iprxTQpU0GL0B3ZdI9s/Z+PegioHuVuPv4oJctcb9zlYnEiSXuIqCLInFlbNZ4ZYTog84BXexD97RaO71dEpETAf3Lu48tSxw4iGqK4N5UbSMA9A027lYGXVWJpyVYJdFPpuFoNAvEaBN6nZcXu8gZzM4OkBmEb25bVelxMvUFWzCejWXAVHlZMfNtZz303IpM02LQT6ZBUVg5Od9kcAfvZ9dDScwuN9IRFL9L2eOYfd1pnfZUTRXn7yZnIUmHpJ7ydnoQNwJ2kTN4fcTWBbGnfMxaQFAWbdbQRkwlks2aaMs2LcwXbd9Em7h2ehA0NYqK6NTsghZ7DBaSeUjZ41BnDWDrAO9B10NJtEmLRnowu95JD6Ml2QiZgxtOW8RsIg9PNrL5XXTSubY6TMVyeJ5HarIIwKIOwvNtS3DIzsAhOwP7rEXYSo/CXjIPZ+ryWHWQb2Dzd5Oz+P0RbdZ2kTPoJ99OD8JsIg9JOiRt8PBsvqqY+F0x9Ga00UvQQbgszA/iQYzgIchvLBfQb3cuwCtdc6sC9KvpDDzv/C0AdH9A98qcuwHdDbnLAfSSFmdlstkIzcsocXcDuu+GgAvQy9msIaBf3VScQXeLxJXKoJcB9He+dcQX0Ev5oPPPWQJ0oQddBPRSXuj89xzMxVhOhWMQ1RTBvanaRgDoG2zcNUBXTFfZ9/L7ZMN6A8IS95dWFFmBvZJopwcRnBjosOy0KDiH1mMlyoU5MBaU3nWnr52BU6FEX4eCar3huVZVpQhaESONPeNj1gI00hFQFK6CnnCAWfdcX501gHDdak+AqhJ41M4glM5tLgBxvqFwoyxsUuiYCVYUwxGOkxXnNTWKGwV11gCWkhds1tj5svneNmt6KInA2WKPSTZrvHJixlE1Z/MTKJhGzS68Po10BCJGGlSVYMZZUUJYpq4oBtzqXEBLvRfaF4EYbaCqBLZRtpvP++FVxQRNjcLLD82DqhLMmoe0OHx62zm0bftIYw72knk4ZGdglMyx1zq2borCNlu4eF2LPQaPRXOgqgR2k7MwtzkPmhaDE7UFIbknG/NM/d1lK1cT6Xb0BggcqcmileFCks0/tYldnyY6CrmGPPbJ802fIB7ECB6C/MZKAZ1D+EoA/VprBv/2Ws8sfOWDk/cf0N02a6+4etDXAtDF0vYygC6CKYdaL8CtBNDFfnO3YFzJLHqZPnQEdBekLxfQ/TYH3K/zy6CjzdrVTcU96GVU3H/ylzvg3W9+qLQPeilA9/FBf/fqJvjxlQSWt/v5oP/Lha3YS15kteYCdHfmXIxcQ3B/ejAjuDdV2wgAfYONe9GDTs0uLOVdaXALLUVhgMOF3lhm2FjRMXm2OaTFHcDTURBOU6OYhS25LiF7yeG5nR7EsuQDdAmz4xygFSUkKai7z9MN44cE4F6qLwB3oWfeQNjXQ0kH8IuBnr9OU6O4mVBnDSA4cuA2wymsfohb/WDozaCqBFL2OKgqFeDeAEUxIGWPSz7lsi1bEs+Xb6y4bda47RizOktCgg46VnPsPfgN3jI74EQtK2HnlQ3cl11VKdSSPqBmF6gqhZQ9DiEtjiB9ZQvbSJmJ53GjYIIuwTA5D5oahcstOfycRskchLQ4KArvCaewh1wAVSVYHZBryGMf/LXWDMTIDohb/XCtlWkEoO2bSuCjTTlsM2iio6CqBIjRBs+kshDWG6DOGsCNnnZ6EDL1TCE+bvXD0WgWttKj6InO18Q3cdL2/qCE8IGO4CHIb6wU0G+2L8K1VpYJXw2gv9p9Hv5s6D/BT/7iYfjRO9dZVBmgI6T/ElkxoPv1n7tt1pYL6O7Ms58QXKWALsF6JYDuKnMXy9ndZe3leujL9b+XzaB7icRVaLO2qgz6Z7x90N0ZdMlmzbkGHNBLwblbyd0L0L97aqfQhhfEgxPBvanaRgDoG2x4AbqfF/hqQw8lHN/rtTvm0WgWgfF6KwPNkBYXAG9lEdLiKEiWtvdjufdeMo9wNBPPI8hVEqzcmeJx+DE4RPMstaZGYSpWfv1eJeURI40bC73WcbzeE3QJDL0ZdpEz2F9/NJr1XL9Ycp+296NyPvcIV5SQUC1goOgeMdowu85L4rltmmj75rZZc6+fl8T3Wsdx4+FROyNpBPBNmStbsrjZ0WKP4bkNkBmsmmAbEGw+F8V7ztEHUBUTN2VqSR882cgAfoTMwaN2BmYTeZhN5OEFrLYwsNVAFLlL0iHM+B+gS5jxn4mzHvpH7Qwk6RBst07CTJxpHDTSEThTx+zd4lY/HKnJMls4xzOde8iy3ny24cJL+0NaHOc30VFsYQjiQYvgIchvrAbQn0tn4HrrGgL6natrC+hcJO6LSQZT3APdDeifqRzQ3/9FuqaA/vZHUkWA7pWBXi6gc/irJCoFdN8yd1f23AvQKxG584N0d4m7p0jclURlGfRSKu6CSNyP33+p8gz6Z/wz6KsGdEHVXSx1F/vVefD7chAPUgT3pmobAaBvsOEF6HcvI6cjoNZZA7irykuWV3t8DpKKojuiZTr8ylYG1pbZAZedMmg9lMTye2p2lYVsVaUIS3oogefASssZOPHNAbEnuHBTMjAjrWkxqfRfFI0rCNLp+PskHUKoFG3QpuN59DXnMM36whmIxq1+JpTnCOGxTLaBWWVFCTkAy9Z/yRGXUxUTNzeo2YUbBVz0TVOjYJkdYIZTjv0XE1vzs2XjtmmKEsKScUVhPd38OjBhP7ZuXqou2qwxqzbZpky0HONic7kGVlnBP4topMfp/2eQyzUE5jYXfMVf6ZrD6o4uOgkRIw2t9gTooQTooSS02hOOLVoC6ukwfLJrDmoi3VAT6YZXu5l6/6vd50FVTIhb/fBixyIKzeUb8tgzznrsDYgYafwuRCM9YJkdQIw20LQYhPUGiEZ6IGWPw14yDzGyA0bIHKTt/WjZx33ZuQf6peYchPWGZW0UBVFNETwE+Y21AvQX2hfR63zNAf2NM3DnH48XA/o39jwQgI795zzWEtBdwLucDHo5SK8kg14K0L0gvWI4d51fWZu1EoDua7NWQiTOC9BFkbiffrnN2wfdS8XdEYmTAF1oSeAq7r7l7aKau1Dm7o4/3f1YFfy3Nojg3vRgjwDQN9ioBpu1bfQYAikvB1YUsa94bUPMOA6RWSmjzDcneBn0aoLDrapSx9qMQRl/7056GEv1vWzNxqwFT9E3vxi3/n/23j0+ivLeH39md7K7M7PZhGVzT9jcDAEagjGACA3BlEvDtYCIXAwECLmQ1S+WVqkK1p8eUEv1ePBoT6s9vRxbrdrj8Yp3PT20tUesiK2i0oqXitIDooVW5f37Y/b57OxmJtmE2+J+3q/X50XYzM48+0ySZ97P5/N5vzvivMrN1z10bY9aRErpBUYDZXzrtKXQPGUo9TfTeKw2btbI9FXHjV9WE1jHPxCbNWkjJscTMsagSW/HdH8XzsuKKdPLTHyxv4ky7eO0VlKDnxtYQxskUjROUQycHz2HzPyr7hDdn2J/Exq1Nqwv7sZkvQO/qF1Cvd9bKtujx+fSewuNRhqHtHiT901uRshzW23W5gVMAboCowHTjE406e0IGWOwrqgbhrcKJf7JuLggQhUFUrU9ZIyhzQXNU0aCcWH/VJr/0dqyHg4BHKdD8EOQE44nQd9S2Y4tle30HiboCf3nfRH0BJJrVyLeX4K+b2V1r+XtTgTdqcy8vwQ9aYE4mwoA6/WTJug2InFxBP1nmebPwwAIem8ZdEnQj1xnxJW4f3J5ThxBTxSJk/NvVXG3s1lLzKDbxY6vTEmBv7UcvDad3mCCnmboi6Cf7P5WszzbJHeSgGWo+bit2iyLVhQjSgQ9SVmg9SdCxhgql5fER1E0KoGWCuCxnnV3tG86RHMlyaHMWAvR01pNhpmZNXu0rTZrsrLAzLT2zCzLDHemr5qI4Eh9EZWJu11BEkCLjSdEGegMNZ8y0BlqPlURDNbrbcezrqhnhjtDzaeS/FJ/MybrHcj0VRMpttqs9bRl62mzRr3uwotcYxxZn1mz8bJP26UEaA42WqzsZK96pTELM/1dKDAaMCdzDYYZ85FrjMO3StYQuQ34hhOxLjAaqH89W6uFzxOG7q1AiX8yVHcIHrUoasEWwu3DVpCl2/eHrYAQZmn8VeEuZKj5KDAasGhQN/KM8ZigrYreHxVLgxHa2PhGUTdyjXFoDUVgeKugeyvi7oe8J7J6wKx6MNCZF6Fs+TeKumleItHKAe5FPx2DH4KccCII+pYoEZf96VKx/aQQ9Geqe/agS4Lu5IN+ijPoiUJrvRF0W3JusS07lQTd+v/EY5Itb7deP1G93omgf3J5Tq8EvTcV979vr+1R4t6DoEd90D9+fbbpg/7c8KR80J1s1qz3S94jO4L+zuJReHvRmXh70ZlxPehWkm79PxP00zF4bUo1MEFPM/RF0CWhSZUo8U/GwuxuaJ4ysskKGWOoD7lGX0iCapP1jn5loAcS1uzmaG0Z9X/PC3TTBoKpsq2aFmZRwhyzj/PE9WTLEvbBev2AhfUmaauR6atGjb6QsuTNRieNx+wZNzdBWimjHLNxM7xVJPRW4p9MKupyPJXGLDrXWG05bWpYbcQkORfCVKaX92TxoJ4991abtSytBg1aG1R3iDLnecZ4Op8cjxDRnvgoKTWz86YNmtXD3Ty/Rq/p3gqM0pfgqnAXyo0ZKPFPxtWlXZikrcbPR14IIcwS+BujmfNCo5HG2aS30ziWDY6Q1dy6om4owouWYMxmTV5PCJX0C1R3iEr8s7Va2iAo9TdTi8FobRlaQxFUGXMQ1OswRe9AvdaCsH8qRugLMFZbjgnaKuQZ49GVF0Gpvxm6twLrirqpR5/jdAp+CHLCiSTo15R2ElGX5e/fqTCPle85KQTdKhKXSNClxdpJJuhxZc8Wgm5HbOPIrV3YZM/7Um9P2g+9lxJ3O3s1O4Len/5zORaZNbezWUvsQY8j6P3pQe+FoCel4n5vMF4kbgAEXZLzHn3oFoLuJBKXSNBfnfllR2FcjlQNXptSDUzQ0wzJlri7XNlEHiUROvV/QMzI9FXHEUqz/9zMKktCLEuVrRlxabMmM5LysyWqlAthtSVLzpLNLiqNWfQeSdSkqrkch/wchreKCKBVxb091yS452fFCFlXXkw0TVqpZaj5lM0u8U+2eJpL27fEzxZTffdmlCCo10FRNAzW60nV3RyPtGXLhSK8ls/koZ8P+boQMVs21Z1LAme92azJDL7cfLGquK8t6MZgvZ56y8uNGSg0GjE7c03U5swDRXhRoy+EIryUsXa7giR8aHirEPZPhaIYyDXGIVurhaIYqNEXIkPNJzKvKBq2VrWRRdtPvhSrTrixsh2KotE4FEXDSH0RGrU2KIqGuYE1WJhttmp050cwWluG87O6ETLGoNjfRBZpWVoNuvPNfvKAbzgWDzIJt/R8d7myMU5rtQgheqLK/R4oimF+DuGFRy2i+3Wqfxc5+hv8EOSEk03Qt1S248YoUd9c3oFbh67Ck2fPxac/y8TB/RefPgRdknQngm7ngd4Pgp5oV9YXOR8oQZcZ9mMm6FHy6UTQ+9pU6PF/h6w9KbgnqrhfGepdxf12b3I+6Acus8+gv98ey6D3UuKejM2aJOly/hNt1iTxtitvf/fCmji/9LhM+pKRuLasE6n03MjBa9PpBiboaYb+9aCbhC7gG06kyqMWnfAs9fEI6xitdmOJrxUajZS5bdLbiUi35cREza4oWQNJHGV5e38It1U4zSSyHhQajTSemH1adGw21mvx9ml9fR3bdGjU2lBgNGCYMZ+qI6b7u0i4zNwAMOdClpG7lADaLD7o0/1mObdUbw/7p8b1l8uSfqstW5Uxp182a4pikIiaomgoNBrpvKZlm0HzrggvhhnzMV5biZH6Igwz5qM1ZJZ9h/1TcVW4C0G9DoP1elJjv/mM1TS3t1S10dhlyfxkvYM+38UFEfI531LZDp8njK68SJTca7gq3EWfc2O4i0iz3EzxZpSQ9V1Qr6OyfllCL1sLFEWLbh5oUIQ3Wo1h+sovzO5GnbYUqjuE7vwIgnodDG8V1hd3I9NXjWytNrpRc+p/1zj6E/wQ5IRTSdA3lXXi1qGr8MTYefj7Fh8+enfZF5+g96bi3ksvd3+z532JxB0Xgm4ds8P4rT3XyRL0RB/0RN91W4LuZLN2kzd5gv6XlUTQ4zLo0RL3Q2/OtSfoDiJxtiruliy6laAnkm479fZEizU7gr53YR1G6UtS4G8uB69NpyeYoKcZjlUkLtNXDbcriCythrK8knic+j8wJy8m6zEbLklWM9R8ytyGjDFU0jzMmE8l4uM1UwF8pL6I5szMLpuEfIWlBH1OVM29wGig7PBYbTlCxhiUGzNoY6BRayMSKDO5QsTK2a2iaVlaDWXXa/SFKPFPRp4xPu78srR9XqCb1MJl2XdilPqbbW3ZYhl8e5s1WTputVkrMBrIrqxGX2g7P3Kupe+8EB76OkPNp758SdaFMIXkpDDg+uJuKpOXZe03nbGaNkW2Rsm7N6OEqizKjRmY7o8ReXleWeKeaLMWMsag1N+MtpwIwv6pGKzXY9Egk3DnGuNwSaHZDjHUmEukvklvx9zAGozSl5Co4Uy/udFQaczC0qCZeR+s12Ndkenh7lGLLD+HHKdH8EOQE1KGoN+gJUXQP3l1WlIicZ8+OiQ5gt7PHvQeZe7HiaBLhe+++tDtCHqin7mV+PZF0BP71JPxI+/hf+7QQx8nDudA0HtTb0+8nvyXCHq0zD0pH/Tbveb9dvBB71UkLppBt6q4JysS10PF/eIhdC+TIehx0RtBtwjKyfWY43QIXptSDUzQ0wzHS8VdEV7K0prZTZNAmcTLzLw32vh2694KlBszEPANJ4LUoLURmczSaqjsucBooGvE/NRVylJLuzEhPEQq3a4gkVXNU0Y9wtaSYEmcrV/HXlOJzMmsrhBm5YDM6Gb6qomImsRMtRV9s36tCC+dS4qm2c2r1XpNjl1RDCLK0jbNpQRoDKo7RPPUl42bIrx0Lilypyhaj/MLEW/LJs+lCC8RVykS53JlU1l6rjGONhbGaa1UBu9ksybPFROh80RF6swqBFm2P1JfRET//Kxuut/ri7tpHmQLw+byDpqPrVWm2nymrxrXlHZC91agXmvBilAEmb5qdOZFaPPituqVVM1wf90F0L0V2FrVBp8nDNWdi1uHriIRuavCXfCoRSgwGqjsfYK2KtoHb4rElfqb0aS3o9yYAY9ahNaQaZWnukO4pNDcKHC7gohEKzNcSiBaTWAKEcqfLc1ThoBveFRwLxcetQi6twIuJUC/KxynS/BDkBO+MAR9e23yBF0quScS9B/0QdC32PSh96cHvRcfdDuC7ughbpOFdrJKS5agS5Ke6Kvu5INuS9AtZe49xu6gOt+XvZrsRbeWz/crgy5V3GUG3YGg99qD7pRB/8/cpDLotjZrAyHoUZIuj7W+x9qz/rtJ0+LaBTlSOXhtSjUwQU8zpILNWm/RbHQSAW/LiRBxNEmdSRCl17Xsv3a5sskmbbBeT1nWOm0pZTvnZK4hkmpuBph99bKsWf6rCC8JmGmeMsrOlvqbibw1aG2UNZ4X6KYMqCTUZsm8avnaJNEy2xkyxlCJvFXkTtqs1Wst1FffbHTSAieJr6JodC7DW0VlZNI2LajX0ViHGfPp/JO01ZQ9llZsibZsVhu0sH8qDG8VlcaXGzNoI2OCtoo+r/l+NW6MMZs1D2Wf7c4v75Mk79OMTtogkCJ2iqLROeR8ul1BTDM6aT7lHEjLNvl+mYWXJfurcmIl/VKh3qoSP1ivp89Qr7XQBsNMfxfdE7O33vxciTZrQqg07gw1nyoJ8ozxJCg4Ul9EqvFyPkdryzBYr8c4rRXTjE6yoZvu78IofQlCxhhcUthNCvRrC7rhUYtQbsygdgWO0yH4IcgJTNBPEUFPIOfSgitpgp7Qe25H0JMpcU8k6E7+58n0oDuN23FzwUaB3o6oJxJ0KRLXrx50q83aAEXibDPoTiJx1wRsReL6Iuh2feh2BD2xb/3dJSPx9qIzsXdhHV6bNZ61Uk6b4LUp1cAEPc2Q6gQ93ULzlNEmhLRZk5ZbLiVAvcyqO0TWWi4lgGytFqo7F25XELq3Ah61iGzcsrSaaIbeg5Axhmy7CowGuJQAWazJa5g90TFbNmn/5VGLqC9cVhbI3ukCowEuVzb1VMtzyetJmzWPWkSE2c5mTWaD7WzWQsYY+rxBvY5szYQwKzFkWXlQr4PurcDm8g4Y3ioY3ipcXdpFpearciIo8U/G7Mw10Uy/B1eFu4j036hdz7UAACAASURBVF93AYYac3Hr0FXINcYhZIzBL2qXINNXjUxfNW6rXonBej3yjPG4uCCCAqMBo7VlZuZceLEwu5s2ctYVdSPsn4rFg8y+8YBvOJW0ezNKsK6oG7q3gpTYVXcuCo1GtARjWfgmvR1DjbkYrS1DUK9Ds9GJPGM8XT/TV42gXoeLCyI0x6f655gj2eCHICcwQY8SdEnSTwJBt8ue9zuDbkPQE4l3MgQ9scw9jiSfSIJuU6ZvZ7lml7WPI+iJPuhOGXQHgh5X4m7Xg37oqr590JPoQZf3N040L6pab5dBTyxbTyxz70HQL6xhgn5aBq9NqQYm6GkGJujJh7TtMsmXavnazNrLvu2AbziV4Ft7sqXN2lBjLpGocVorZcRldtXaAuDzhFHqb4YQZqZVZpln+rvgzSjBOK3VtkdctggI4aFqAs1TRlnmcmMGhhnzka3VkqK61ZZNnj92LrMEXfaeq+5czAuYWeICowFjteXQPGVEcsuNGSSs1qS3Uzl/XzZrsZ77UDTzrGJVTgRjteVo0NowTmtFiX8yxmrLsTDbVHWvMuagOz+CQqOR7MfqtKWU0TerC8zxy/HJrLgQHspwezNKqBJB2poJYeoEyKqDmX5TEG6stpzu4RTL+eX7XUqA7qFUjhfCbMOQmxIj9UVwubJR6m+muR6lL6GfB9mXrwgvVS3ILLkQZjVEuTEDIWMMXWuUvmTA9nwcpyL4IcgJJ5ug3xiN68vN826tasPD9QtIJO7gR1fYE/S3LuhdJK43gp7og35XoGcPuqUPPY6g3+yJI+e9EvQoObcS9I/X5yZF0D/6evFpQdCdPNDtbOL6Q9CdPNGlH/qJJOiHfz/BViTu0N82xxF0yqAn+qBHCToJCVpU3OMIerQFwJpBl3PvJBAXp+RuIxQnQ2bb9y6swxtzz46zYOVI5eC1KdXABD3NcDoTdGk9JUSiernR4+vvVMQ8saXNWrZWS4RwrLacepoXD4pQr/j64m46hyyblsJv1q8VxSDipHnK6P25xjgiX+XGDMo2y1JoaZslhNvWpixDzUeuMc5Zqd3REk5aqakJx9krvavuXOrvLvY3YYK2Crq3gki4VfV9poPqu2w7SFR9781mrTHBZs0k1Z6ozZonpgAvvESYXa5sKtnXPGWmNoGiIVurRaavmlThZS++JL2K8JqbJMJL99qlBGhjRHqky8x/iX8y7qxpwVBjLgqNRlxb1omx2nKM1BdhS2U7VHcIszPXRNXTVXTlRTBZ78DcwBoU+5tQacxCV56Z1Q4ZY7CuyOyVz9Jq0JYTQaUxi7LgPk8YI/VFZg+/EsBMv+nN3qC1ocQ/GeXGDCweZJ6r0GhEd76ZrVcUzbwHwgvNU4Y5mWu4x++0Cn4IcsLxJOhWr/NryzpxdWkXNpV19jjnTWesJi/0LZXtuK16Jf5+ow8fvb3UtFpzIOgfvz57YATdLoN+mhH0vuzV7Eh3f73Q7Qh64iaBnZVaoh96Uj7ovRH0hKy6HUE/uLYknqD3ouJOBP2HXscSd7sMuiNBt/qgW0TiehD06P2XBF22MfRG0CUJtxLzRC/0vgj6W+efhduHrUiBv7scvDadfmCCnmY4HQi6omiUnfZ5wnFq3DJzeGlxN2WqbzrD7HUWQiXhOTtLNSFUC1n1WETuTDuw+GOPYfxkmRUj3EKYAniyj7nY30Tl5TIzKy23hIhZninCS3ZahrcqjkDLDYTpUd/00doyIrLnOfimx/zG7WzZVNoEkXZwsgTbpQTIIi3mm24gqNfBm1ECRdHibNZMazRzXiXhtrNZk4ReUQzUay2kTH9+VjfNlSTv8r4LYW6kyPsov870VdMGTL3WgknaatRpS7FssOmhPkJfgOvLO5BrjEOxvwk/+dIyhP1T8ez42UTm5eZKo9YGlxJAnbaUhPTqtZYoSTYwzJgPRdGQoeZHfz5VZGk1VHYvbeIao4RbUTQsHhSBRy2CIryOhFvqF5QbMzBOa0WlMYuU41tDEQw15kL3VuDiAlN0L2SMiQrteU757y1HMsEPQU44VoJ+bVknro9+T5L068s7cHVpFxF0mV2/6YzVuDmBoF9f3oGbz1h9+hH0Tf4TXuLeq4J7ApF1iv4Q9B5Wa71kz62q6nZhJfRxn6EvcbgEkm7dJLAK0vXIoF+eY2bQrwmc/BL3xB70Tf64DLqtSJxlY0X2oVtL22Uk+qDLYxLJuVUkbu/COjxw1kKqIuNI5eC1KdXABD3NkGoEXVE0ynYP1uvRnmtmFGUZsiSep3qcQpgZX1lSLlXLV4RiJdySSCuKRhlbzVNGpLnQaKRM9Ch9CVR3qIdN2fHYIMgzxlP2e7S2jGzZZMbeasu2aFDMlm1FKDb+RBs0lyubzulU0m+1WZMZczubtRWhCL0mxfliJe6xEn2fJxxXQi+rFybrHTSPK0IRuqbcfLAS+tkW0bopFpE+ubkxWltGQm1WUbmWYARNukkAFEVDSzBC93x9cTemGZ1kfTZCX4CuvFjJ/aoc00c9ZIyh8VtL6CdoqxDwDcdQYy5tPk3WO2hDxRScM8cv50lRDBqz7q0gBwP5MyV/XzhSPfghyAnHStDl8VaSftoR9B/2QtAT+s/jCPo/ZfYk6FGS3oOg96Hg3i+CbpNpPhEEPfG6vWXMnQh6jyqAXki5dWPAjqCT93qUoB/6ZoEzQd/k7xdBtxOJowx6VMW9B0FPyKD3peIeJxIX7T+3EnRJ0hOV23sj6IkK7jKD/qcF9ZRY4Ejl4LUp1cAEPc1wsgm61bbLzEaaX8/OjBEKSRYVRXO0HzseIQXGpHiaECptDvg8YcpaDzPmE7GaG1hDPeFmplul44WwWpm5ex17zHpNpSyrohhEblV3LvVQzwt00zEXF5gl5UuDEcoox2zKVLIp86hFcQRbqrUn2rKRlZfwwqMWIajXQXWHSMTM5wnTe80+cpMofqskqqhuY7MmhNnPLj3aZzvYrGVrtTC8VfCoRWQX5s0oMS3DXNnIUPORrdXSPOYa46I2YiqJ0pmCdrnQvRWI5EfgzShBlTGHVNbnZK4he79vlayh+3Nb9Uoa/+3DViBkjMG2MedBCLNt4ecjL4QQ5obF+mJT6E11h6C6Q5QNd7uCyNZqoXnKyGJNivrJDYOgXgfNU4alwQhZBl5SaGoFuFzZ+EZRN9nsRfIjlM2fk2l6tTdobRitLUOWVoOWYASGtworQmYLRoaaj28UmbZyurcC3yjqpnHJnx2OVA9+CHLCQAn69eUduKJkTcoS9H88VtZ7D7pVJO5kEHSLD7ojQbd4iSdmoB0JerRU2s4D3YmgO5F4u/7zXn3QEzYUeiPotuXsCVZxPQi63XX76kFPJoN+b9Ak6M9U9yxx70XFPekMepSg/21jsAdBp/uZoB1gzaJbBeGs5e7W1yRJt/asS4L+pwX12DN/DF6aem7csxJHKgavTakGJuhphpNB0H2eMIlshYwxJ4U8DDXmUoZyit5BpH9pMJbhln3SLiVgscU6PjFJWx1HsIVQMc3oJLIrvbaF8JBgmTejhDKkxf4m2ghINpr0dspsS/I+RY95gM+22LJNsbFlk7ZpQb2OiHSNvpDI5hS9g8afGFabNfM6TjZrJmmVQnmy/1vaiAlhZt6lzdp0fxfdL7nrrigaZvq7MEXvIKE563xK6zXZ864oBn0/S6uhcYzSl1Cv/8LsbrqmWSJvbkRcEd2IkJsQQnjI1u/KIWsw09+FxYMiJIq3eJBZDVBgNKDZ6MTszDUoMBpIMG+YMZ82Wxq1NrhdQbJZE8LMnCduWinCi8l6ByZoqzBYr8cofQmm+7sQ9k9Fsb8JzUYnKbxH8s2ND9lDf6J/zziONfghyAn9IejfqTDJ9Kki6D1E4nackzYE3Vpqnqh67kTQrVnagfSf94eg95ZB71Ugzs5mrbdr2hD0Ty7PwSdXhnD46uzeCfpP9N4z6O+3J1finigSNxCCntCD3hdBf3vRmT2U3BMV399edCbeOv8s7Jk/Bnvmj8Gb88bSMwpHqgavTakGJuhphhNJ0AuMBgR8w6EoBpWCH7/w0A6s/EMvvaGFMDcF5OvZWi0RS2lT1p9ryevIf92uIBG2QqORCGGT3k5ELEurIaIle85NYmbfG2xmhs3vWW2y5NfWjHipv5mywlP0DipvNjdBYrZssWs627LJuZDXUYSX5tDwVtHGRY2+kMrjJXEcr62kTZCAbzjZrIWMMY42axlqPmWM5TVdSoDaAeT5M9R8+rxh/1RSR59mdKLU30zZdZcSgOoOIdcYR59NZtolQdU8ZVS2/sPhrcjSavBv1SvJgu2Hw1vp2pvKOmF4q9BsdGLxIDNj/Y2ibgw15sLnCWNrVRt8njBUdwgl/snUliCEqS8gBe+k7dslhWbvvOYpwxUla+DzhClbXuKfjAKjAe25plVavdaCEfoCZKj5mBfoRsA3HDP9XdTLn2uMgyK8cLuC5r2MznFQr8O8QDeJ5K3KiZBl3alf5Dl6D34IckJfBF0qskuCvrWq7cQQ9Bs0HHrrAmeCHrVZO2EEXfqg95OgH74mQATd2oeeDEGnvuQo6bRTQrdVc++FoCdT4t4bQU8mi50MQXfM/NtUAMQR9L42BfpD0G+0yaDfFYgR9Geqe5a4H7gMHx/+Dj45clNcBv2jd5cNiKB/cnlOXA+6E0GXlmkyG04E3VK+nqjknphFf2fxKLx1/ll4c95YvDlvLPbMH4NbqtpO0d9cDl6bTk8wQU8zHG+C7nYFT6AAiEqZUM1TFi331rAx3HVczt8QFQITwk12ZFLAS4iYSvlAImSMIZJoZ7M2JzNWfm0SU9Xyde/ntoroeTNKiDDmGeOpcqHZ6IQ3owRjteV92LL1DDOrb45HZrylYJoQZml7iX9ynM1apTGLNismaasdbdaK/U1U1i8V1K3XEULFOM0k0Ko7hBH6AiiKQX3p2VotVQPUay1xongFRgPqtRasLehGodFIhH2UvoSuOT1qmybHJoSb+syFUOkhwqMWkSBduTEDM/1dmOnvwmS9A1XGHEzSVmPZYLNEfZgxH5Go7Zv0fJfEW95zae9mbpLI3ntTeX/xoAiqjDkI6nWYZnSiXmuhnvVxWismaKY/e1deBKX+5rge9DxjPAxvFQK+4XRtjlQOfghyQjIEXRLwE0XQbzpjNd6cNxZHnq83CfnJIOiJPehOBL03kbgkCLpUcbcKxdkRdIo+rMokQbfr33Yi6DJDayXivfWm90XQHbPolgoA+Tl6tVVzKnu3uXYyBL1HiXtfBD1RJO79dipxTyTofZW4f3pbvIq7E0GnHnQbgp5osWYnFGfXg27tQ08k6I+MXpACf385eG06fcAEPc1w/Ai6mf11KYHj0jdukiaTFJq2HOb5Y2JjAzmnSQwTe8qlMJdJ/mL98f05J/0rvFhn6cmWGwqZvmoiy042a7F5jLdGmxlVZRci3tZMiqBZVeJVdy7ZsmVpNdC9Fba2bEONuVTa3mx0IlurRb3WQiXfVtX0ocZcUnMfZsw3FdiVACmv+zxhDNbr6TqJNmvTbGzWJAHPM8abqu/CG1WtN1XfzRL7mM3a+Vmm53mxvylO9E3OdYaaj1U5Ebhc2aTi7s0ooXkJGWOiYzQQ9k8lpfnR2jLUaUuxNBjBJG01WkMRuvc3VrbT/P14xHIoioYtlWYbgaJotHHgcmWjRl9IKu6FRiPWF5sZ7SytBpcUdqPY34TBej3Oz+rGSH0RhhpzoyKAZrtBUK+DIrxYNtj8DMX+pmjVh1TQV7EwuxvjtFZM0TuQZ4xH2D8Vywab2fdcYxw688ze9IBvOC4p7KbWBI5UDn4IcsKpIOjSB31zuWnHdmNlOx44ayH+8dQZqUXQt/Yjg56g5J6qBD0Z8Tg7H/TjQtBtBOBs1dsdSHq/CbpdD7oDQacS94+usM2g91Xi/ult5s/KkeuMOJE4R4LuoOJuR9ATS9v/snwEZdwT3/OnBfVE0N+cNxYPnnV+Cvz95eC16fQBE/Q0w/Eg6IqixXmDDzQKjUYioteWdVLW1WqR1t+QmWXNU2bJgFss1cgzvPfzlPqbaRyyrFsIlXqU5b/mfNjZuJkhbcMkURTCJJKSTDXp7SRetyIUIS/vmO1bvN97UK+jbLy07xIinrx3WmzZYure8b7pknDL1gFrWb5HLcIwYz7NpdUHvTMvtmEQ69N297BZqzLmUFZaEn7dW4HzskyRs1UJvulCmIrqQ425NB63K4hCoxGKYkD3VlD7RJ4xHhlqPhRFw9qCbspUXxWtrJCkfZgxH1ujGfHp/i5cOcTslR+vrYSiaGjU2khAb7y2Ei4lgHJjBtYWdMPlysZMfxdVVnRHM+TlxgxcXWrOx5bKdhKLkz3llcYsqlKQVmzd+RGal0jUXm2sthxLg2bmvMQ/GRO0VSg3ZmC8thJh/1Sy3FPdIWrTMLxV9PsyO3MNORwUGo3I9FUjkh+hDD1HqgY/BDnhZBN0a9n8prJOXFvWiS3Hg6D/6kvOKu7JEvR/85hE62QQdCeS3gdBd/QOdyDpx0TQ+/BDTyTkduPvVRzuOBF0EolL9EHvRwY9UcU9qQy6RcXdStAPXxOwtVlLVHGX98GJbCcSdMfsuUUkzkrQ35h7Np45Zw7psXCkYvDalGpggp5mOBaCLsuJjyU8ahGRwRp9IfXwDiSuLjUJmdsVJAX2OZn9s5vKNcYRQZS+00KYZFFmvc1+6L5JvSTGZjbZPF4KlLlc2UR4rTZliZGt1VLVQI2+kI6b7u+CN6MEYf9UIoPSo9vuPNOMTiLyZibbHI+0NXMpAcqoZ/qqqWQ67J9K5eBCmH3usv99pL4Ipf5mFBgNZH1nLaHvzWZNltzHxmNuFshS+5jNWqyEXnXnUtn8YL0eBUYDsrQabAx3IWSMwaJBMV0Aeb1J2mr6LI1aG2kRWDcqzsvqRmdeJErYTYV3OS+S0G+pbIcQ5maGPM6jFlEWPdcYh7B/KiL5EQwz5tN4JmirUOKfjPHaSkzSVmO0tow2YOZkxmzcpDig9FZv0ttpjEuDEYzTWjHT34WgXodKYxZZulk/t0ctQpPeTj9TucY4i3geR2oGPwQ5oTeCfmNl+zETdFnG/p0KUwF+wATdSSTu+frUIOiJJe6W/nPbHvQkCLq1l9tK0K2WZYnicE495okEvc8edBuCbh1LMgS9T/V2y2dwJOiW6/dK0C/P6UnQ+5FBdyxx76cP+kAI+r6V1bae5taws1mLI+jRHnSp4C4J+utzxlH7IEcqBq9NqQYm6GmGYyHox5LZlgJXQnh6ZJn7E7cOXUXjiBFJNSmFUEmUVHeI+tjNLKWZdZTiZnbvtYpwZfqq6bhvlawhkmxnvSZD2qxJETchYll4lyubFi6ZNZWvy3Or7ly4XNm2tmxzMtcgqNdhnNZKGXs7EbqAbzg0T1m0jNs8r5kZN8cje65dSiA2HuGF6g5hsF5PomwFRgPZt+UZ46Eomq3N2lhtOanDW8ffm81ad34kbm7leNYWdCNLqyFhujxjPH2uYn+TWXmgGCj2N8GbUUKbN8X+JqzKiVArQqPWhmJ/U1T4zWwPyPRVQ/OUIdNXjYBvOL5R1E3E95aqNtqAuK16JXRvBW6rXglFeEmkTQg3jUcK2bldQVxRsgZuVxCqOxeR/Agy1HyM01oxO3MNtRiM0BdE7dhCZJ/mUYtQZcyJZu9VTPd3oUZfiIBvONpzI8gzxqMzL4KAbziCel207N8UCzyRNoUcxyP4IcgJTgT9OxVm1vtYCPo1pZ30f0nQb04Fgv6zzONG0K0q7qeKoFsz6MdK0J18yfsi6HbjdbRYc1JvTyToCRsEiQS9hw/6xqBZ4r7JH0fQP72tfyruSZe42/igJ5a4Wwl6Xz3okqAnkvNEgm4l54kEXaq4Wwn6i5O/ckxJGQ5em9IJTNDTDCfbB12G7q2Iy8z2J2ZnrqHy9/6GIrwkMCbLqpMNzVNG2eNSfzNl1ydoq5L6LHY2a7Mz11C5fW8RqwTwUP+8N6OEMriFRiOVzCeGtDUTwiyzlmXRk6O2aU62ZkKY5fzW8ns5fml5lmgTFxN3ix+3k82azBwXGo1xNmshY0zc8ZLYj9AXUFncNKOTysdjNnkeLMzuplaBKXpHVPzN3JxYQRn63Gjm2YNIfqwFoCVobgj855mL0KC1UT+76s6lrHqB0UDjHqstJ/E/aak2TmvFokHdqDRm4Yrohs0EbRVt1Mz0d9F45PzITYwpekdc5nystjwqguexvNfcrJHzk6XVYJgxH81GJyqNWQgZY9CotWGc1opsrdbSksGResEPQU7ojaBLkt5fgr65vAMbwwMk6NEy42Ml6NSD/l/5AyPo/2pD0KMkvT8E3U7Fvdc+9ARP8TiCbkNi+yLoiWXudpZsfZW3J0vQHVXne+lDt72mzRh6iMStKySCfuiy/PgedEnQb7QQ9Nu98Rn0BwvtVdx7KXE/9ObcPkXiHAn6usIeBF3a4DmpuNuRdGuJO5XFR4+32qxJcr579jl4bdZ4x+cWjlMdvDalGpigpxn6S9DN0mF7q7C+IkPN7xdZUISXsqLNRieRE5m97ev9JiEys8G3Do2pgsvMuV3IjKP8V1G0WC9z1CrM/r0qZbCrjDmkLC5tsoToabOWmBGX3/tGNAPamReh7LlVkXuwXh993UPzKscgRdM8alFcubjPE0aGmg/NUwbVHaIqAWnbJYRZZi2J8OJBEejeCmiesmh23IjOm8f8v/DG2awtDUaI5K8r6qbqg95s1qwZ+kSbNc1TRnOdpdVE74cHucY4aJ4yamEIGWNos6BRa8MofQkURUOxv4my1QVGA1yubOphl+rxQrhx8xmrKXt+76jFUN25ZJ2mecpoY+OBsxai2N8ERXjxi9olCPiGk8J7llZDPyNZWg0yfdXwZpTAm1ECnyeM9cWmZVq2VouWaJ95jb4Q47RWeNQiTPebJfqqOxfZWi0UxYDLlY3Bej0atDbK3rcEzfJ5tyuISwrNvvhItMLA7QpSZt+jFiFLq8H5Wd1k95bMJhDHqQh+CHLCiSDom8o6cWlx94AI+kdvLzXJ+UAJ+jPVAyPo0gf9GAh6nA96Pwm6laQ7EnQHgtuX5VoyBN2RKNtYrPXlhZ4oKNebknufBL0XFfc+CXpiBn2gKu4HLqMM+t92TkzaZs2WoF88JG6z5cPVVT0JutVqzUEkzo6g711YRyXuVnL+6swv4+cjL0yBv8McvDalPpigpxlOfAZdJeLQ3xis11Mfd7JRoy8kYndxQXIiWbJ02EpwrYJnvYUkTxlqPvUC9xY+T5iUxeu0pZQ1ttqsJUalMYs2Ksxebw9mRnvQhbBadPV8r+xpFiLW360oBmWcrT3uZngwVlsOIcxNA0nYy40ZRMab9Pa4CgbZIy6EKVRneKt6tVkL6nVEkJ1s1mL2ch4at+Ypw0x/VzR7bW5OyIoGlxKgPvhifxMatDbo3goszO6Gomi4csgajNNaoXsrMEpfArcrSPeuypgTJfmmUnq91oLzs7qxMdyFUn8zVQVUGrNo3OO0Vpr/Swq7aY7XFpie6deUxnQMZEWCHGtLsGdGf5rRGc2cq2gJRlCvtdB9UIQ3ztKuUWujzZRKYxZGa8swOaoELxXvs7Va2tQZrS07gdaHHMcW/BDkhONJ0DcPkKBvKuvEL2qX4O/ba00v9NOFoFv70JMh6FZyfiwE3UYYzomgW0vc328dHmezlnhsXwTZLpwIemJG3U4YrtfrJkHQZRadROKSUXHvq8S9F4JOGfReCHoyJe6Jc2Al6NaS9b5U3BOz7pKgvzlvbA+CvuMrU+g5gyOVgtemVAMT9DTDySDo/S1HH6e1kid1MjFKX0JlwdKP2+44aRUmhKnCbRVXczq3tdzbqgouVdLt1OsTrddcrmzaaMhQ86kk2u4akuiN0BfQuPKM8ZRJrzRmxX0Oqy1bS9DMuE+32LKZmwEeSwY1dvzSYCxDHyGxFtVUXI9m1k3V9Nj4ZOY6Q82nVgGrzdpgvZ4szISIV2WXPuXejBIqU5c2a0KoKDdmoMBoIKV0q6+5zAYrwhtn+zZCX4A5mWtQaDSi0phlKq5HSf7GcBcU4aWeeEXRSFjvtuqVZrZdeMn3fLBejyuHmMJtkkzL8nGfJ4z76y5ArjEON1a2o8qYg3JjBtpzzTkYqy0nFfhCoxEetQiKoqHKmINSfzOa9HbUaUvRoLWZ6vbCi8WDItGNF080U28q61caszA7cw2a9HYowov23AjZzpmVBh56oFEUjVotpJ1baygCw1uFbK2WyvI5g56qwQ9BTjieBF0qtidD0DdHj7s2Gj8feeFpT9CdStw/uTynZ/95Pwh6D5JrIa+J2fBkCLqdMNwxE3SHcnfHsfexueBI0C8KH3+Cvuvc3kvcEzPoDiXuvWbQoyJxpGxv+by9EfQ4Nfd+EnRJzmVsLk9OeJeD16Z0BhP0NMOJIujJiLRZQxFeS5avb+E4lyvbUi7vSYqANBudpFQuLb/sjjNFxszM+/ribipDtyqkJ6qly7FYfdBl/3LserHjyW4tarUlhJkdPS8r1kttLYdXFCMuSy2zuo1aG5XsS4E7acMlReCEMHvGfZ4wGrU2EmWRY8o1xlFJv7RaO8/ig26Oz0PjyDXGQXXnQlE02gAQIuZJ7lICRFyFUMlmTd4nWUGgeyuoPF3auEnyrShanO1bnjEehreKevdH6AswVlsO1Z0bzWqryNJqENTr4POEETLGQFEMTPd30fXWFXUjZIxBiX8yld9naTVwKQF8q2QN+aT/x5diVQd3j1yKKmMONE8ZXEoA9VoLbWrcdMZqsmXbGO7CCH0BNpWZmwsNWlt0DlTyjl9XZGbaXa5stOVEoCgamo1O6h0fpS/BUGOu6S8vvNA8ZZiTuYbmuU5bihH6AvJBl2Q801cdLY3XMFZbHleVEdTrENTriKhzpFrwQ5ATTjZBv+mMtKQToAAAIABJREFU1fhOhZlt31zegWtKkyToUZu1T16d1r8e9GRF4o4jQf/kyhDZrCVL0K1e6Eln0Psg6FYiLkmgFIuzI+iJ50mGoFMvuoNNXLIE3TGbH+0/t24IJEXQN/lNgn6TN6kMer9K3BNt1n4YzaDf7LEl6PJe2xF0Wx/0JJTcEwn6O4tHxfWg2xH0P0xv6KFfw3Gqg9emVAMT9DTDiSLo/fW3lArgfR1X4p+M87O6obpzqc+7tygwGkiAq7cYqS+ijPUofUlS6tctwQj1b09OYixCqFHLtZjdml2YJd2q5WtzQ8Ip0+9SAkRcrSX0ecZ4EniT35PjLDdmUBZWZrWFMDPB1s0OqcQuhBvnZZm95dbjx2mtPY6XLQ3zAt00P73ZrFlLvuUi7VICcWXdJf7JJOqnKEbUms38THKzo9jfhDxjPDaXd6DcmEE+60KYGwBjteUwvFV03kpjFmXe50R9xGVlhByjHHupvxnfKOrGnMw1GGbMJ6G+yXoHidyM11aSNsJkvYMId6PWhun+LtrwsPu8UnTuvKxu+tmQn1FRNNrIkKKAbTmR6Ocw2zKK/U1UdaIoGonPZaj5CPunWjZ+OFIr+CHICcdC0K8csgabox7nyRB0ea5NZZ0nnKD3W8X9OPSg2/mgDySDbpc9tyXpFoLeW/bc2oN+PAl6Xx7oyRL0xCx6b9l7ea0eBP3yHJOgS5s1SdD7U+IezaD3qeL+qy+ZG0CJPugWgu5ks2ZH0OOy51ESLkm3lahb/dCtfehWQm8Vids9+xwi56/NGo/XZo2nqjWOVAlem1INTNDTDMkQ9KHGXIsQ2fENSTh6D48l62tQP3ZiuJQAsrVaqO5cXF/eQcc7jd0q+uZyZTsKz6nuXCJXcwNrKENpjiOWhZdiY0KYCvGyhN70zTYJWWKfuZ3NmvUY+bXc8Li4IELZ+1iGXoVHLYq2EnjijleEl8rShfDQ+FxKAC5XNh2XoebTZkDYP5VIYqLAm9sVpLmwisS1BCPI1mrJZk1150at5FTMDZjZ6XFaK4mcmaTfA58nHLUVy6X7OidzDdnQXVwQgc8Ths8TJtE11R2CRy1CZ16E7u3GcBcJ4fk8YQR8w+F2BZGh5mNzeQeJv22taiPBtmtKO8kiLkPNp0y52xXEg2edD9Wdi0pjFtYXd6PcmEGfu9KYBdWdS+JwHrWI2h8maauxaJCZKS80GknsTXXnIuAbjqVB8/PMzjR74oN6Hab7u5BnjEemrxoZaj6K/U2YpK2GRy2izYGwfyqWBs3Sdc1TBo9aFBXcM+dtXqCbNiXacyMYrNcjQ81He24E3oySATsmcJzo4IcgJxwrQb++3MyM94egX5ssQf9gTeoQ9BsHRtAleXQi6JKcOxH0REX0ODV3h7L2RHJuJei9kfPeCLo1bHvPe8meJ0PQe5TYJ5DzxD50K0E/dFl+rwTdUSTumWr8fXtt0iruPXzQLRn0xBJ3qqS4PCdG0KPz01+CHlfqfmFNT5G4BIL+5ryxcWXu1mCCnmrBa1OqgQl6muF4ZtClyvXx/kPhdgWTEovL9FX3mS232qzp3grqd04M1Z1LWdICo4FK4xMjS6shcbJhxvykPD3HasuJ7PVmszZZ76B+6pitWc8w1e1Vsk0TwmrLZsZ4bSWR8+nR4+2Om2Z0Uum7/J6iGJRNNrxVqNdaqOdfCA/NuUctooxwodFImXwhzA0QuQBbbdOGGfORrdXS8Ya3iua61N+MAqMBQb2ONgJq9IUI6nVx5x+tLYPhrcJQYy6JuE3WO+DNKEGdthQhYwxK/c10jsl6B1UWtOWYquqTtNVYX9yNKXoHbcC05cQ2AC4tNsXjavSF6MqLxGXEl1oy4jLr7XYFMd3fhTmZayizLedMlrZb53hhtsycq/QzqbpzqaJBVousimbOXa5srC0wM+d2x7fnRhD2T0WT3o5hxnwE9bokN8M4Tm7wQ5ATTgZBl2S8N4L+H19qwaf3BnHoTwv6TdD/vr22d4L+X/kDI+g3903QD18TOKUEva/ec6soXF+e6AMm6H2Ut9uNua++8wER9I1BZ4KeaLMWJehJlbj/9ev46N1lPVXcE33QbUrc5b13IuiyBz2x/9yqzt6nzZpNBl36oMsy9z9Mb6A+9L5aGzl4bUpnMEFPMxxPgm6Smb6FPpIlCv95Zk8BtsRQFAO3Va/s8zjdW4FvlZgq2c42a6ol865RFjcx3K4gWYS5XUHH7KTMmAphCtHJz53pqyYLMHktSaynGZ1EMrO1WrLQEsLMesvs+eJBESKIg/V6MyMeJfPSBk0IN7ryzIx7pq+ariM/v3l9835J1XqZ0VfdIWo5kJnttpyYKr4se/eoRVGLsJjt27qoTZwQJrFNzMLL+bHarJmWcrlwu4LQvRXwqEVkVSZ72w1vFZYGI5Q99maUwKMWwfBWIdNXje5oL3+lMYtU7g1vFQnzaZ4yslkTwtzYaIj28GdpNdQr71GL0GyYD/Aj9AXRcXoQ9k+FzxOGohgoN2Yg1xiHiwsiKDAaSEldkuNCoxEZaj4G6/UoN2ZgmtGJkDEGTXq72WOuGOjON7PpblcQg/V61Gst5PN+XlY3Buv1KDAa0JUXoTmUonsFRgNK/JPRnhtBuTGDCLv8GZE2a5XGLOp5N/vy+QEotYIfgpxwsgj6pqidmhNBv616Jd5dMhIf755+XAh6nEhcXwT99iQIukOJ+3En6Bbi60jQE7LRyRD0RME46+tOgm39yqD3IhAnCXpilry3vnNHgh7dDLAtcbcS9ESbtRNB0BNF4iRB3+S3J+gOInEfrBrqSNATy9sTrdasBF32oFuF4l6d+WW80jwRu77aiFeaJ+LFyV+hZx2OVAhem1INTNDTDCdexb1/MS/QbckoO5P985PsqU2m/1xRjKTKqzxqka1qe3x4EmzLrKHS9zLUfOoLLvY3kaWWOR6NsvLZWi2NbaS+iPqdhTAJtuy/rjRmUVZ6krY6zlYr01dNmX1rj7jsKZfH5RnjqeR/usXGzSx9jwnWWW3fWoLmBsBMv1liLm3WhDA3JVxKoIfNmqJoGGbMh+oOxdmszQt0kwDbqpxIXA/9CH0BfW+FZTydeREMNeaSZsAEbRWR0EsKYxsA3fkRNGhtPSoMFOElS7QsrQZrC7qjGW9T7V5WW3jUIqwv7sZMvykGN9PfRT9bivBSS4AsWZ8bkJnz2D1X3SGyniv1N2OkvgiLBpmZc0Ux6Hu6twLF/iZ4M0owJUr6V4RMJXePWoRyYwbcriB9hpAxBqO1ZVDdIXTmmZsD8udU91bQz1Kpv5k2fzhSJfghyAkDIeg3n7Ea15Z14oqSYyfo8utbh67CG3PPPnUE/QeeAfWg95egO3mgn8gSdzuCbvVE742g212/vwTdSkj7GnsiQbf6qUuCbisSZ0fQb+yDoFtU3I+LD7qDSFxiD7p1w8KJoFvL3OMIekIW3YmgvzH3bCLou77aiJenTcLL0ybh91Oaenl24uC1icEEPc1w4MABmARdif5Cnpio1r4GRcnq87izfS0QIqPP487xLXP83ncrY+c4y7fY8bjrypdHv/agWvuaw3E+XFayCkK44HYFUWI02R7nUYuwKsckaYnnUpQsdOWtpnlwGs/Xi9poPOX6Vx2O86Ajei5FyUK+PsH2ONWdi0WDVtPYBmm1sfGITLSGzO8F9bMwzTA/X8A3HL6MMB2neyowL8s8brg2D3W+RRDChRx9bJTYm8cNMSZjotYKIVwYpJ0ZJe/m60L46LizfItRpc+GEC4UGhOhKFkYpNXCoxahWvsa3atmfxsGabUWFfrY8edqK+getIZWQ3XnIk8/B25XCEK4ouf3oGXwavi9Z2C6vw0V+nTL3OtYGlyN1tBqNPvb6OfospJVGKSdCSFcmKi1YoqxCguyV2OStgKRgtUo1adCCFd0Djz0eWZlrsYI7TwM1+ahK281MtwFNF9y06tKn40F2asR0kej0JiINfmr6RyV+kxMMVYhTz8HRcYkGvcgrZZ+ZoTIwBBjMhZkmxsdIX103PdW566m+5qnn4OVObHxLhtsfs+lDMKcwGq6FxypEgqEEDhw4MCpXgpSDnJt+nbpYlxb3oqrS1fgmrJYXFveimvKVtDrN1Qsw+by5bisZBW+UdSGq0tXYFP0fRvDK+nfiwpW44ohK3FN2QpcFX1NnuvK8EpcVRr/+o1nXIgXZ9bj3RemYO9ba83Y04G9r7fi7VcX4Z1d8/Hujma8979fwXvPT8Jfto/H+8+Nwb6nzsS+J0big23D8MEjQ/HhA+X48P4yfPjLMPb/ohD7f55rxn8Esf8ng7D/h5nYf7sf+7+vY//3NOy/zYv9Wz3Y/y8ZZtyYgQ+3ZODDG6JxXQY+2OTFB9dG4//zYd+3dezbaGDfBj/evyLTjG9l4f1vZeEvl2XjL5cOwnvfDOK9dYPx7iUhvHtJCO+szcU7F+fhnYvz8HYkH293F+Lt7kLs7SqieKuj2Iz2ErzVXoI/rw7jT22l2LOyDHtWluFPbaXm/1vLsWd5RZ/xZkslhfy/9fU9yyvMc0XP92ZLZdz/97SW0zWtIcdnF39eHY4LGr88rzXkWO2+Z/m8Mv68Ooy3Ooqxt6vInL9IPt65OA/vXhLCe98M4i+XDsL738rCvg1+7Pu2jg82efHhdeY93b/VY97rH2aaPwu/KMSHD5Rj3xMj8Zft4/Hujmbsfb0Ve9/+Bt75y1V4b99mvPv+NXj73SvMn8XdF+LdHc14/1dn44Ntw7D/3mLzPLf7sX+rx/yZ2ewxfz42GvjLZdl475tB895H77m8t9Z7KO/F7sXVeHXh8PhYMAJ/XFCDVxeMiIvXLhiG3YursXtxNV67YBgd+8q8WuyaOwo7v3YmXpxZjx3TR+P5Kefgt5PH4zdfmUDxvWrn5zUOXpvSHUzQ0wx79+6FSdA5ODg4OE5F7N2791QvBSkHXps4ODg4Tm3w2pQ6YIKeZvj888+xd+9eHDhwAAcPHuSIhnw43Lt37ykfS6oFzw3PC8/N8YkDBw5g7969+Pzzz0/1UpBy4LXJPvh3ieeG54Xn5kQHr02pByboDAZi/Y8HD3L/TSJ4buzB8+IMnhsG4/iAf5ecwXNjD54XZ/DcME4XMEFnMMB/tHsDz409eF6cwXPDYBwf8O+SM3hu7MHz4gyeG8bpAiboDAb4j3Zv4LmxB8+LM3huGIzjA/5dcgbPjT14XpzBc8M4XcAEncEAcOTIEWzYsAFHjhw51UNJOfDc2IPnxRk8NwzG8QH/LjmD58YePC/O4LlhnC5ggs5gMBgMBoPBYDAYDEYKgAk6g8FgMBgMBoPBYDAYKQAm6AwGg8FgMBgMBoPBYKQAmKAzGAwGg8FgMBgMBoORAmCCzmAwGAwGg8FgMBgMRgqACTojrfDMM89gxowZKCgogBAC9913X9z3jx49ig0bNqCgoAA+nw8TJ07Eyy+/fIpGe/Jw7bXXor6+Hn6/Hzk5OZg9ezb++Mc/xh2TrnNzyy23oKamBpmZmcjMzMTZZ5+Nhx56iL6frvOSiGuvvRZCCFx00UX0Gs8Ng5EceG2yB69N9uB1KXnw2sQ4HcEEnZFWeOihh/Ctb30L99xzj+1D0KZNm5CZmYl77rkHO3fuxPnnn4+CggJ89NFHp2jEJwdTp07FHXfcgZdffhkvvvgipk+fjiFDhuDjjz+mY9J1bu6//348+OCDePXVV/Hqq69i/fr1yMjIoMU8XefFit/+9rcoLS3FyJEj4x6CeG4YjOTAa5M9eG2yB69LyYHXJsbpCibojLRF4kPQ0aNHkZ+fj02bNtFrR44cQVZWFm699dZTMcRThn379kEIgWeeeQYAz00iBg0ahO9///s8LwAOHTqEM844A4899hgmTpxID0E8NwzGwMBrkzN4bXIGr0vx4LWJcTqDCTojbZH4EPTGG29ACIEXXngh7rhZs2bhwgsvPNnDO6XYvXs3hBDYuXMnAJ4bic8++wx33nknPB4Pdu3axfMC4MILL8TFF18MAHEPQTw3DMbAwGuTM3ht6glel+zBaxPjdAYTdEbaIvEh6Fe/+hWEEHjnnXfijlu1ahWmTJlysod3ynD06FHMnDkTEyZMoNfSfW5eeuklGIYBt9uNrKwsPPjggwB4Xu6880586UtfwuHDhwHEPwSl+9wwGAMFr0324LUpHrwuOYPXJsbpDibojLSF00PQu+++G3fcypUrMXXq1JM9vFOGzs5OhMNh7N27l15L97n5+9//jt27d+P555/HpZdeilAohF27dqX1vLz11lvIzc3Fiy++SK/ZPQSl49wwGMcCXpvswWtTPHhdsgevTYwvApigM9IWXEbYE2vWrEFxcTHefPPNuNd5buLR1NSEtra2tJ6X++67D0IIuN1uCiEEFEWB2+3G66+/nrZzw2AcC3ht6glem/oGr0smeG1ifBHABJ2RtnAS4tm8eTO99ve//z0thEOOHj2Krq4uFBYW4rXXXrP9frrOjR3OPfdctLS0pPW8fPTRR9i5c2dc1NfXY8mSJdi5c2dazw2DcSzgtSkGXpuSB69LJnhtYnwRwASdkVY4dOgQduzYgR07dkAIgS1btmDHjh3485//DMC03sjKysK9996LnTt34oILLkgL642Ojg5kZWXh6aefxnvvvUfxt7/9jY5J17m57LLL8Oyzz2LPnj146aWXsH79erhcLmzbtg1A+s6LHaxlhADPDYORLHhtsgevTfbgdal/4LWJcbqBCTojrfDUU09BCNEjWlpaAJi78Rs2bEB+fj68Xi8aGhpILfaLDLs5EULgjjvuoGPSdW5aW1sRDofh8XiQk5ODpqYmeggC0nde7JD4EMRzw2AkB16b7MFrkz14XeofeG1inG5ggs5gMBgMBoPBYDAYDEYKgAk6g8FgMBgMBoPBYDAYKQAm6AwGg8FgMBgMBoPBYKQAmKAzGAwGg8FgMBgMBoORAmCCzmAwGAwGg8FgMBgMRgqACTqDwWAwGAwGg8FgMBgpACboDAaDwWAwGAwGg8FgpACYoDMYDAaDwWAwGAwGg5ECYILOYDAYDAaDwWAwGAxGCoAJOoPBYDAYDAaDwWAwGCkAJugMBuO4YeLEibjooot6fJ0K+PDDD5GTk4M9e/ac9GvPmzcP3/nOd076dRkMBoPBa5MTeG1iMFITTNAZjDRDS0sLhBAQQsDtdqOkpATt7e3461//eszntj747N+/Hx999NExn/N44ZJLLkFra+spufbvf/97BINBHDx48JRcn8FgMFIdvDadfPDaxGCkJpigMxhphpaWFkybNg3vvfce9u7di0cffRRFRUVYuHDhMZ87FTITn376aY/X/va3vyE7Oxv/8z//cwpGZKKurg633HLLKbs+g8FgpDJ4bTo14LWJwUg9MEFnMNIMLS0tmD17dtxra9euRTAYpP8//PDDGD9+PLKyshAMBjF9+nS8/vrrce/5+OOPsXTpUhiGgfz8fNxwww29lhGGw2F897vfjTtHbW0tNmzYQP+/++678aUvfQk+nw/BYBBNTU34+OOPHT/Lnj17IITA3XffjS9/+cvweDy46667ehx3zz33IBQK2b73nnvuwZe//GX4fD7U1dVhz549eOqppzB69GhomobGxkbs37//mN+3ceNGfPnLX3b8LAwGg5HO4LUp/r28NjEY6Qsm6AxGmiHxIeiNN97A8OHDkZeXR6/94he/wD333IPXXnsNO3bswMyZM1FTU4PPP/+cjuno6EBxcTG2bduGl156CTNmzIDf7x/wQ9C7774LVVWxZcsW7NmzBy+99BK2bt2KQ4cOOX6W++67D0II1NfXY9u2bdi9ezcOHDjQ47iLLroI06ZNs31vU1MTnnvuOezYsQPhcBgTJkzAtGnT8Nvf/ha/+c1vMHjwYFx33XXH/L6HHnoIXq8XR44ccfw8DAaDka7gtSn+vbw2MRjpCyboDEaaoaWlBW63G4ZhwOfzUc/fli1bHN+zb98+CCGwc+dOAMChQ4fg8Xjws5/9jI7Zv38/NE0b8EPQ//7v/0IIgT/96U9Jf5aNGzfCMIw+xXVmz57do8dv48aNGDRoED744AN6bdmyZRgyZEhcZmTatGlYu3btMb/v97//fb8/H4PBYKQLeG2KvZfXJgYjvcEEncFIM7S0tOArX/kKdu/ejd///vfo7u7G1KlT4/rjXn/9dVxwwQUoKytDZmYmDMOAEAIPPvggAODFF1+EEAJ//vOf4849atSoAT8EffbZZ2hqakJmZibmz5+P733ve32KA82ZMwcXXHBBn595ypQp6Ozs7PHelpaWuNfOPfdcfPOb34x7bfjw4bj55puP+X2vvfYahBB45ZVX+hwvg8FgpBt4bYq9l9cmBiO9wQSdwUgz2PX5NTY24vLLL6f/Dxs2DFOmTMHjjz+OV155BS+//DKEELjvvvsAADt27Oj3Q1BZWVmPTMjw4cPj+vyOHj2K//7v/8aVV16Jmpoa5OTk4M0333T8LGVlZbjtttv6/MyLFi3q8bBUVlaGf/3Xf417LRgM4t5776X/Hz58GKqq4rnnnjvm9/3617+GECIuu8FgMBgME7w2xd7LaxODkd5ggs5gpBnsHoKeeuop+Hw+vPPOO/jwww8hhMCzzz5L33/uuefiHoIOHTqEjIwM/PznP6dj/vrXv0LXdceHoDFjxmDdunX0/4MHD0LTtLiHICs+++wzFBUVOXq0Hjx4EIqi4Le//W2fn/n6669HbW1tj/f++te/ptf+9Kc/QQgRV5L4u9/9DoqikCXPQN8HAN///vdRXFzc51gZDAYjHcFrE69NDAbDBBN0BiPNYPcQBABnnXUWurq68Pnnn2Pw4MFYsmQJdu/ejSeeeAKjR4+OewgCgPb2dgwZMgSPP/44du7ciVmzZvUqxHPppZciPz8fzz77LHbu3Ik5c+bA7/fTQ9Cvf/1rXHPNNXj++efx5z//GXfddRc8Hg8eeugh28/x7LPPwu124/Dhw31+5pdeegmqqlJZonzv3/72Nzrml7/8JbKzs+Pe94Mf/AAVFRU9rtnf9wHmvJ8qr1sGg8FIdfDaxGsTg8EwwQSdwUgzOD0E/fSnP4XH48Fbb72Fxx57DMOGDYPX68XIkSPx9NNP93gIOnToEJYsWQJd15GXl4frrruuVyubgwcPYsGCBQgEAigpKcEPf/jDuD6/V155BVOnTkVOTg68Xi+qqqri+uQScfPNN2PEiBFJf+6zzz4bt956q+N7N2zYgIkTJ8a9FolEMG/evF6vmcz7Dh8+jEAggO3btyc9XgaDwUgn8NrEaxODwTDBBJ3BYKQFHnzwQQwbNizOjudk4V/+5V8wefLkk35dBoPBYKQ2eG1iMBiJYILOYDDSBjfeeCPeeuutk37d2267DX/84x9P+nUZDAaDkfrgtYnBYFjBBJ3BYDAYDAaDwWAwGIwUABN0BoPBYDAYDAaDwWAwUgBM0BkMBoPBYDAYDAaDwUgBMEFnMBgMBoPBYDAYDAYjBcAEncFgMBgMBoPBYDAYjBQAE3QGg8FgMBgMBoPBYDBSAEzQGf3GE088geXLl2Po0KHQdR2FhYWYNWsWfve73yV9jnA4jJaWlj6PE0Jgw4YNAxrn1q1bcccddwzovac7NmzYACFS89d7z549EELE3Zs77rgDQgjs2bOHXvvpT3+K7373u8d0LTkPH3zwQZ/HJvszacWvfvUrbNiwAf/3f/83wBEyksE777yDDRs2YMeOHT2+19LSAsMwTsGoGF9EpNv69s///M+oqKhARkYGhBD9+luW7N/yk4HEuXzqqacghMBTTz1Frz344IMDnm8J+fmef/75Po+dOHEiJk6c2K/z79q1Cxs2bDjp85du+OSTT7Bhw4a4nw+J/jw3MBgnCqn5BM9IacyfPx+TJk3CLbfcgqeffhp33303zj77bKiqiieeeCKpcyT7ALN9+3bs3bt3QOMcMWJEvxfHLwpON4K+b98+bN++HUeOHKHXpk+fjnA4fEzX6s9C+8ILL+D111/v1/mvv/76U/Iwmm54/vnne/zMSDBBZxxPpNP6tmPHDgghsHLlSjz33HPYvn07Pvvss6Tfn8oE/eDBg9i+fTsOHjxIr3V1dR3zutgfgr5r1y7s2rWrX+e/++67e2wsMI4/PvjgA8cNMibojFRAaj7BM1Ia77//fo/XDh06hLy8PDQ1NSV1joFkK/sLJuip+ett91Bnh5NN0AeCU03Q//GPf+DTTz89Jdc+mWCCzjhZSKf17Sc/+QmEEPjNb34zoPenMkG3w8km6APBqSbon332WdxG+RcVTNAZqY7UfIJnnJaYNGkSqqqq4l77xz/+gXXr1iEvLw+apmH8+PH4zW9+M+ASQLk4Pvnkk2hvb8fgwYMRDAbxta99De+88w4dFw6HIYSIi4GQPfnw//LLL+Pcc8+FrusIhULo6urCJ598EnfsXXfdhTFjxiAQCEDTNJSVlWH58uVxxxw8eBCXXHIJSktLkZGRgcLCQlx00UX4+OOP6ZjeCKzdgvLAAw+gtrYWHo8HpaWluP76620J+uHDh3HppZfGXbuzszOpksY33ngD559/PgoKCuDxeJCbm4tzzz03ruQ4HA5j+vTpuPfee1FTUwOv14uysjLcdNNNcedK5qFu4sSJPe7fQB6s5Dy8/PLLWLhwIQKBAHJzc7F8+XIcOHAg7tjEn8nPP/8cV199NaqqquDz+ZCVlYWamhrceOONcedODPlg9fnnn2Pz5s0YOnQoPB4PcnJysHTp0h4Zs6NHj+Kaa67BkCFD4PV6cdZZZ2Hbtm09yiNlyeaPfvQjrF27FoWFhVAUBX/4wx+wb98+dHR0YNiwYTAMAzk5OZg0aRKeffZZ27m/7rrrsGnTJoTDYfh8PkycOBGvvvoq/vGPf+Cb3/wmCgoKEAgEMGfOHFvCkiz+7//+D2vXrkVZWRnNwVfBZGvvAAAgAElEQVS/+lX84Q9/wNGjR1FZWYkpU6b0eN+hQ4cQCATQ2dlJnzsx5O+B/B3dvXs3vvrVr8IwDBQXF2Pt2rU9HjT379+Pjo4OFBYWIiMjA2VlZVi/fn2P44QQ6Orqwo9+9CNUV1dD0zSMHDkS//Vf/zXguWCc3viirW92f2PlmJ3Gn/g36VgI+r59+7Bq1SoUFxfD4/EgFArhnHPOwWOPPRZ3vREjRuDZZ5/F2LFj4fP5UFhYiMsvv7xHpr+vEveWlhbbvyP93UhI9h7J8Sduotxyyy0YOXIkDMOA3+/H0KFDcdlll8WdOzGs8/uDH/wAI0eOhNfrxaBBgzBnzhy88sorPcb5ve99D2eccQY8Hg+GDRuGn/70p2hpaYn7OZH3b/Pmzbj66qtRWloKt9uNhx9+GIcPH8batWtRW1uLQCCAQYMG4eyzz8Yvf/nLHteSfy9vv/12Wi/POussbN++HUePHsV1112H0tJSGIaBSZMmYffu3f2acyuOHDmCq666CtXV1fB6vQgGg2hsbMSvfvUrAMC5556LoUOH4ujRo3HvO3r0KCoqKtDc3Eyf2+nnvz/PDck+V8nno4cffhhnnnkmfD4fhg4dih/84AcDngvGFxtM0BnHBQcOHEBWVha+9rWvxb3e0tICRVGwbt06bNu2DVu2bEFRURECgcAxPcCUl5eju7sbjz76KL7//e9j0KBBmDRpEh33wgsvoLy8HGeeeSa2b9+O7du344UXXuj352ppaYHH48GQIUNwzTXXYNu2bdi4cSNUVcWMGTPouP/5n/+BoihYuHAhHnroITz55JO44447sHTpUjrmk08+wahRoxAKhbBlyxY8/vjjuOmmm5CVlYVzzz2XFpT+EPTHH38cbrcbEyZMwL333ou7774bo0ePxpAhQ+II7dGjRzF16lSoqoorrrgC27Ztww033ADDMHDmmWf2uWM+dOhQVFZW4sc//jGeeeYZ3HPPPbjkkkvidvnD4TCKioowZMgQ3H777XjooYewePFiCCFw/fXX03HJPNTt2rUL48ePR35+Pt2/7du39zpGO8iFdujQobjyyivx2GOPYcuWLfB6vT02TxIfSv/pn/4JbrcbGzZswBNPPIFHHnkEN954IzZu3AgA2Lt3L7q7uyGEwL333ktjlCWVbW1tEEJgzZo1eOSRR3DrrbciJycHJSUlcTvzl112GYQQaGtrwyOPPIJ/+7d/w5AhQ1BQUGBL0IuKijB//nzcf//9eOCBB7B//3788Y9/REdHB372s5/h6aefxgMPPIAVK1bA5XLF3SM59+FwGDNnzsQDDzyAn/zkJ8jLy0NVVRWWLl2K1tZWPPzww7j11lvh9/sxc+bMfs87AHz00UcYMWIEDMPAt7/9bTz66KO45557cNFFF+HJJ58EANx0001QFAWvvfZa3Hu3bt0KIQR27dqFgwcP0s/H5ZdfTvMsNzrk7+iwYcNwww034PHHH8eVV14JRVFw1VVX0TkPHz5MD8Y33HADtm3bhiuuuAKqqqK5uTnu+kIIlJaWYsyYMbjrrrvw0EMPobGxEaqq4o033hjQfDBOX3wR17ddu3bh8ssvp7/F27dvpxafk0HQp06dipycHHzve9/D008/jV/+8pe48sor8bOf/SzueoMHD0ZhYSH++Z//GY8++igikQgRQiv6Iuivv/465s+fDyFE3JrS32xxsvfIbr7uvPNOCCHQ3d2Nbdu24fHHH8ett96KSCQCwNy0uPbaayGEwNatW2mM+/btAwD63gUXXIAHH3wQP/rRj1BeXo6srKy4v6G33XYbhBCYN28eHnjgAfz0pz9FVVUVwuGwLUEvKirCpEmT8Itf/ALbtm3Dnj17cODAASxbtgw//vGP8eSTT+KRRx7B17/+dbhcLvz7v/97j7kPh8M455xzcO+99+K+++5DVVUVgsEg/t//+3+YPXs2jSMvLw8jR47sQaCTwaeffopJkyZBVVV8/etfx0MPPYT7778f69evx5133gkA+M///E8IIeI2egBTf0AIgQcffBBHjhzBI488AiEEVqxYQfMsf/6TfW7oz3NVOBxGcXExhg8fjh/96Ed49NFHcd5550EIgWeeeabfc8H44oMJOuO4YPHixfj/2Tvz8Kqqq/+fAJkIIESGMGUOICKDoii1DigCYqsvKlqVChjJQFBqVUQESWMwAZIm5Q1KqTxUqVWLilVURF7k8Wep8iLV6kspliIgEhnMPFbX749798k++6y1zz733iQH717Ps5/C9ZLcDL3f72evqVu3bpZBOvv37wfDMOAXv/iF5bl/+MMfLLeVsqAMTG5uruV5K1euBMMw4OuvvzYfC0UJILt1F7PAhYWFYBgG/L//9/8AAGD16tVgGIbtdpWPJ598Erp06WIrjdu8eTMYhgFvvvkmALgD9AkTJsCgQYOgsbHRfKympgbi4+MtgM7EaOXKlZaP9+KLL4JhGPDb3/6WfN2nTp0CwzDMzDEVSUlJEBERAX/7298sj0+ePBl69eplVhyomrpQlriLX3dubi7ExMRYTIJoSm+44QYYO3as9ONTJe7sd1/8Pf3www/BMAx49NFHAQDgzJkzEB0dDbfddpvlebt37wbDMFBAv+KKK5y+bPjPf/4Dra2tcM0111iggn3vx4wZA9999535eFlZGRiGAT/96U8tH2fhwoVgGIalj1M1fvWrX6FGiY+amhro2bMn3H///ZbHR44caTG7TiXuhmHASy+9ZHn8+uuvh+HDh5t/f/rpp9HnFRcXg2EY8M4775iPGYYBAwYMgJqaGvOxEydOQJcuXeDJJ5+Uf+E6fnDxQ9U3qly7IwC9R48esHDhQulzWJb/tddeszx+7733QpcuXeDLL780H3MCdIDQlrir/IzE71deXh707t1b+vGpEvdvv/0WYmNjbZeJR44cgejoaLjjjjsAwFe5lZCQABMmTLA878svv4TIyEgU0NPS0qClpUX6upim3HPPPTBu3DjLfzMMAxISEiyVgFu2bAHDMGDs2LEWnWVa8+mnn0o/HxbPPvssGIYB69evJ5/z3XffQWpqKtx4442Wx6dNmwZpaWnma1EpcXfyDW58FatW439nGxsbIT4+HrKystS+ATrCKjSg6wg62C38mjVrLI+vXbsWDMOwTb9tbW2Fbt26BWVg3n77bcvz2BvlX//6V/OxUAL6qVOnLI8zYSsoKAAAgF27doFhGHDdddfBiy++CMeOHbN9rB/96EcwevRoaG1ttZza2lqIiIiAhx9+2PKxnQC9rq4OunTpAnl5eeTrZvHwww+DYRjmTTyL77//HuLi4myAKD4nLS0NBg8eDCUlJfDxxx9b4I5FUlISjBo1yvY4+5m9//775NfX3oD+j3/8w/I4g7UTJ05YXj//O/mrX/0KIiIiICcnB95++20UUilAZ7/7H330ke3fnHfeeaZ5evPNN8EwDHj55Zdtz0tOTkYBXbwsYvHUU0/BuHHjIDo62lK2N2LECPM57HvPSipZbNu2DQzDgHXr1lkeZ5mYv//97+jnlMVll11mKwnG4r777oNzzjnHNHc7duywfU+cAD0iIsJySQUA8Mgjj0BMTIz595kzZ0JcXJwtc1NZWQmGYcCiRYvMxwzDgNtvv932uRISEiA7O9vxa9Lxw4kfsr51JqBPmjQJevfuDQUFBbB7924UEK+88kro2bOn7XH2Xvjcc8+Zj3U0oKv8jMTvFwPM22+/HbZs2YL2OFOAzrRCvGAE8MHngAEDAADg//7v/8AwDCgpKbE976qrrkIBXbxkYvHSSy/BxIkTIS4uzqIp/PsqAJhZfT4OHDgg1ZpA2oV+9rOfQUxMDOo/+CgtLYWuXbuaMPzFF19ARESE5XuiAuhOvsGNr0pKSoJLL73U9rkuvfRSmDp1qvwL1xGWoQFdR1CxfPlyMAwDCgsLbf+toKAADMNAYXXAgAFBGRjRUGBiHCpA79atm+3xxsZGMAzDkgHYsmULTJo0yQSk888/H55//nnzv6enp1tETjxz584FAHVAP3r0KBiGAU888YTteYsWLbIYkXvuuQf9OgAA0tLS4Nprr5V+Hw4fPgxz586FAQMGgGEYEB8fDwsWLLBkGJOSktCP89Zbb4FhGGbvWmcAumiEsM8nmtLW1lYoKSmBcePGQUREBHTr1g0mTZpk+d2jAJ397mMTmq+55hpIT08HAIDnnnsODKOtEoOPCRMmoICOGbSSkhIwDAOys7PhjTfegL/+9a+wZ88emDp1KmrI+JYD/mP/6U9/Qr9PgQxESk9Ph0mTJjk+7+DBg9ClSxfzcuC//uu/YMiQIZYe00CGxIlzGK655hpIS0tDX0O3bt0gMzPT/Lth2EtoATpm+JcO78QPXd86E9BPnjwJ999/v9lP36NHD5g1a5YtA83eK/lg1Qt8VVdHA7rKzwjrQd+wYQNcdtll0LVrV4iIiIBLLrnEUr1DATrTCnbRzQev7++//z4YhgGbNm2yPe+2225D9UDMAAMAvPzyy2AYBtx6663w6quvwu7du2HPnj0wd+5c2/cQe790qzUqce2110Jqaqrj86qqqqBHjx7m5cAvfvEL6N69u6UvPJAhceLvthtfxXrQxQhkFZ+O8AgN6DoCDmZeWE+uGO2ZYehIQFfJoPPR1NQE7733HkyZMgUMw4C//OUvAOC7Kb3gggtgz5496GFv+l9//TUYhgFPP/205eOyUnM+gx4RERGSDDqWLaTiwIEDUFBQAF27drWUZnk5gx4IoPPx7bffwp/+9CfIyMiA+Ph4s1w/0Aw6u0mXZdCTkpJQQMeMzbhx4+Cqq66yPf6jH/2o0wBdNYMO4PtZjx49Go4cOQJdu3a1XTqFAtBnzpwJPXr0IDPojzzyiPmYBnQd4aBv1OcbPnw4qgni5wzVFPcvv/wS1qxZA3FxcTBlyhTzcS9n0AMFdBZ1dXXw5ptvwsUXXwxRUVFw+PBhAAg8g56QkAAA8gz6lVdeqaQHAL6L0pSUFNv7JZsrw0dHAbpqBh3A97Pu168fnD59Gnr37m25gAUIDaC78VUa0HW4DQ3oOgIK1l/62GOPkc9hQtEePXoq4njhhRfCJZdcovT1UOHUg47dZrP429/+BobhG/YCAPDEE09A9+7d4dChQ9LP+f3330NMTIytx+2ZZ56xfT9Ue9BZWVlpaanlYzIzIOvpomLs2LFw8cUXm3+X9aD37NnTdQ/6jBkzoH///q5fFx+hAnQWrH+O7bb9zW9+A4Zh2Kbo/uMf/wDDMMzhPyw++ugjMAwDlixZAgC+qeLR0dEwc+ZMy/NkPeiYsbnwwgstxhYA4JNPPoEuXbp0GqCz9wiV3dHvvPMOGIYBV199NURFRdkmx3/66adgGAasXbvW9m9VAZ2V67/yyiuW57FLFr5XXgN6eEe46Bv1+aZMmQIjR460PHbgwAHo1q1buwA6i5tuugn69etn/j3UPegPPPAAGIYBDQ0Nrl8bi1ABOgvWq71161YAAPjzn/8MhtE2k4YF60EX54QcPXoUoqOj4c477wSAwHrQMUCfMWOGZYYHgC950KNHj04DdNYioDL5/MCBAxAREQFXX301GIZh8yU1NTVgGIbZWsiHqm9w46s0oOtwGxrQdbgONhBt6tSplmmo2KTtu+66y+yvZlNuBw0aFPSUWxVxvPvuuyE6OhpeeOEF+OijjyxDSZjwO4Vsivu0adPM5y1duhTmzJkDmzZtMifSXn311RAZGQmfffYZAPhuzMeNGwdDhgyBkpIS2L59O2zbtg3Wr18Pt956q6V3LTMzE2JiYqCkpATeffddWLFiBYwaNcr2/XjnnXegS5cucPnll8Orr74KmzdvhosvvhiGDh1q+frYtNHIyEhYvnw5bN++HUpKSqBHjx6OU9w/+eQT+PGPfwy/+c1v4K233oIdO3bAkiVLoEuXLuawMwD7FPe33nrLvG0vLi42n6dq6phIrl27Fj788EPLz5xdnDiZwGAA/YYbboBHHnkENm/eDLt27YJnn30WkpOTISkpyeyXZL93WVlZ8Je//AX27Nljlv3PmzcPIiIiYOHChbBt2zZYt24d9O/fH4YOHWqpyGBT3LOysuDtt9+G3/3udzB06FAYOHCgZVCazNiwqeXLli2DHTt2wNq1ayEhIQHS0tJCDujsMSybzQeb4t6jRw944okn4J133oHXXnsNHnjgAXOKOx8jR44EwzDgrrvusv23+vp6c43Vzp07Yc+ePeZKI1VAZ1Pce/bsCaWlpbB9+3Z4/PHHITIyEp3irgE9PCOc9I36fGw/ek5ODrz77rvwzDPPwPDhw22bJQIF9KqqKhg3bhysWrUKXn/9dXjvvfdg1apVEBMTYw47Y18Hm+K+Zs0a2LZtG9x///3ma+NDBdDZa3v88cfNNqDm5mYAaHu/EDPXqt8zFUDPzMyEBQsWwAsvvAC7du2CF198EcaOHQvnnHOOmYU9dOgQGIYBN910E7z//vuwZ88eUy/YFPdZs2bBm2++Cc899xykp6dLp7hv3brVnOKemJgIKSkp5vNkgL5hwwbz+7xjxw7YuHEjpKWlQUZGRsgBnT2GZbP5YFPcIyMj4eGHH4a33noLtm7dCsuWLTOnuPMxbdo0MAwDLr/8cvTjJSUlwfDhw2Hbtm2WKkZV3+DGV2lA1+E2NKDrcB1M/KnDR3NzM/zyl7+E/v37Q0xMDFx66aWwe/fuoPfEqojj4cOH4brrroOePXuCYVj3xF500UVmSZgsmPn/9NNP4aqrroLY2FiIj4+HnJwcy8TSN954A6ZNmwaDBw8294Rff/31tgx7XV0dPPbYY+ZubLZb+xe/+IVlYFl1dTVkZmbCgAEDIC4uDn7yk5/A4cOHURH785//DKNHjzYvEoqKimxwAuADlEWLFkFSUhJERkbCwIEDIScnx3EPemVlJcyePRtGjBhh7m4dPXo0/PrXv7b0CTMB2rx5M5x//vnmXnbxdlnV1J05cwZuueUW6N27N0RERFi+nptvvhliY2MdX3swgF5SUgITJ06Evn37mt/be+65xyxFZLF48WIYNGgQdOnSxfI7yPagDxs2DCIjI6Fv375w1113oXvQn3jiCXMf8OjRo83d9vwEdhmgNzc3w4MPPgiDBw+GmJgYuPDCC2HLli3k3ttgAH3NmjVgGPYhSVh8++23cP/990NiYiJERkZC//79Yfr06bbhOwBtJcX8RRUff/zjH2HEiBEQGRlp+f+BKqAD+CoWsrOzYeDAgdCtWzdISkqCxYsXk3vQxdCA/sOPcNI36vOx3dWpqakQExMD48ePh//5n/8JWQ96U1MTZGdnw+jRo6FXr14QGxsLw4cPh8cff9ystAJo24P+3nvvwfjx4yE6OhoGDhwIjz76KLS2tlo+pgqgNzc3Q2ZmJvTr18/UFPY6f/nLX0JERATs378/oO+ZCqD//ve/h6uvvhoGDBgAUVFRMGjQIJg5c6ZtonlZWRmkpKRA165dbd/f3/3ud6ben3POOXDjjTeaFV18/Pa3v4X09HSIioqCYcOGwYYNG+DGG2+0TGCXAToAQFFRESQnJ0N0dDScd955sH79evR9NVhAf/3118Ew7G19WDQ2NsKyZcvMHe/nnnsuTJo0yWwl5GPjxo1gGIZldR8f7777rmWwqrgHXcU3qPoqDeg63IYGdB1hFzU1NdCtWzf47//+b8fnUuZfhz0oAWqPGDBgADz44IMd8rk6Iw4dOgRRUVHocKrOjltvvRXGjx8f8o970UUXtcvH1aEjnMKNvnk9GKB3RFx88cVwyy23dMjn6oz49ttvoV+/fnDvvfd29kuxxUMPPQRDhgyxbeIINmbMmAGDBg1yXCGnQ4cXQwO6jrCLN954A5KSkszSNlloQFePjgL0zz77DHr27ImuqDkb429/+xssWrQIXnvtNdi5cyc8/fTTkJqaCn379rVUVXghvv/+e+jXrx9s27YtJB+vuroaPvjgA7PM/9VXXw3Jx9WhI1zDjb55PToK0KurqyEqKso2S+Rsja+//hry8vLg5Zdfhvfeew9+//vfw9ixYyEmJsZsufNSjB8/3rbiM9BoamqCv/zlL1BWVgYRERHw61//OiQfV4eOjg4N6Dp0SEIDunp0ZAb9hxQHDx6Ea665Bvr27QvdunWDc889F26++Wa0DPyHFqzc8dxzz3XsP9ShQ0d4RUdm0H9IcebMGbjhhhtgwIABEBkZCeeccw5MmTKFbB/6IQUrre/VqxdkZ2db2vB06DibQgO6Dh06dOjQoUOHDh06dOjQ4YHQgK5Dhw4dOnTo0KFDhw4dOnR4IDSg69ChQ4cOHTp06NChQ4cOHR4IDeg6dOjQoUOHDh06dOjQoUOHB0IDepjFd999B0ePHoWqqiqorq7WRx999NGng05VVRUcPXoUvvvuu86WAs+F1iZ99NFHn845Wpu8FxrQwyyOHj0KhmHoo48++ujTSefo0aOdLQWeC61N+uijjz6de7Q2eSc0oIdZVFVVgWEY8KvkOyE/+R5YkngvLE3MhCWJ90J+8j1QlDoXVqfNhhWpc6EodS7kJ98DDw6eBw8Pnmc+VpB8j/nn1WmzYWXqHFiROheKU+fAytQ5sCwpE5YnZUJhyj2wMnUOFKfOgSL/89+dOAVOvjsKjv47B06cWg1fnciHY18thqNHHoCjh+bB0S/mwrEDd8BXf/8vOL7vejj+8XXw9Z6r4cTuH0Hl+5fANzvHwcl3R8HJd86DU29mwKk3UuHUliQ4/coQOL15EJz+UwKc/mNfOP18PJze1AdOb+wJpzf0gNO/6w6nfxsLp9dFw+mnouD0f0fC6d9EwumySDhVGgmnVkfCqZW+c7IoGk6u8J8nYuCbX3WHb5bHwTeP94DKpT2hcsk5ULnkHDixuLfvPNIHTjzSB75eFA9fP3QufPVAf99ZOMA8x+5LgGMLBsGxBYPg6PzBcHT+YDiSPdQ8X2YlweF5yZbz78wU+PfcVN/JTGn7+5w0OHR3Ovx7Tprlz4fuTrecf/08w/YYO+zfmh+f/xyZKbbX8mVWkuXwr5t87dzrRT8fdvyf+0j2UDiSMwSO5AyBo/MH+7539yXAVw/0h+O/7Gt+zyuXnAPfLI+Dk0/EwMmiaDi1OtL3s30qCk6vi4ae0cPBMLroo49HTgQYhgFVVVWdLQWeC6ZNT6TcAcuTMi3atCwpE/KT7zG1pih1LqxInQsPDp4Hi4bMg2VJmVCcOgcKku8x9WalX48KU3x6xf7OHuN1qTDlHvjteXfAVw/0h2MH7oCvvym2a9PBn8Ox/beZ2vT13mudtenPKWratC4a1yZOl04VR9m1aXlcmzb5dcnUJqZJfl36+qFz4fgv+1o0idIm/n3e8f2dHU6D2J95DfrXzzNsh3+OqGuUNomvR9Qm/vDP4T+GeXhtEj+v+HdKm+5LsGjT1w+d26ZNj/eAb37VHU4VR8GpUv/PtSIKPr7+EujWtb8H3o/00YcdrU1eCw3oYRbV1dVgGIYfnHOgIHk+FCbnQkHyfChOzYGy9GyoGDYPStOzYU1GFpSk5cCSoXmwdGgelKZnQ1l6NqxKzTH/XDFsHqzJyILS9Gwoz8iCNRlZsCIlF4pScqEkLcd8/ir/x959xQ3Q/MEoqD69EBpaKqC2oRhqavOhumoxVJ/Mg+rKbKg5PhtqD8+Eui9uhLqD06F+/2Ro+PuV0LhvIjTtnQDNu8dA8wejoGXXCGjZmQEt21OgdVsitL41BFq3DoLW1/pD65a+0PpKPLRu7g2tL/SE1ufjoHVTd2h9NgZaN0RD6zNR0Lo+ClrXRUHLU1HQUhEFLWt8p7ksBppLY6B5dSw0r46FppVx0FTUAxoLe/lOQW9oLOgNDfl9fGd5PDQsj4f6ZX2h/rF+ULs4wXcWDYTaRQOh5qFBUPPgEPNUPzAUqhYmQtX9SVB1fxJ8uyAFvl2QAmfyUi3ndG4anM7O8J3cNPOcyhoGJ+8dbjnYY99kjpD++VTWMOvH5v4svhb2Gtlhr529fvS1+z/mqaxhbZ/L6XCfv2phIlQtTITqB4b6vncPDYLaxQlQ92h/qF/W1/d9z+8DTU/2hObVsdBSHg0tFf6f67Mx0PpCT2h6sidsGjUbhsfNAMPoqo8+nXy6gGEYUF1d3dlS4Llg2rQ6bTasErRpRUouFKfmmJpUmp4NpenZsGRoHixLzIOStBwoz8gydabMr19rh80zdWhNRpapUSVpOaZ2laVnQ0laDrx98Uxo3ZYINcdnQ31TOdQ2FEN1zVKoPvOgT5tOZELNsVmmNtUfmGrVpj3j7dq0Iw3Xps29ofWlXm3a9GwMrk2cLrWUR/t0qbRNn5qKekDTkz1NXWrI79OmTUyT/LpU92h/qHu0v0WbeH2qfmCoqU3i+71Um9j7dnaGowbxh3+caYRNmxD9c9Imx9ctaCl/2OcjNSs3zad/vDY9NMhRm5rLYtq0aWM0tD4fB0duuwh6xYz0wHuSPvp0Ba1N3gsN6GEWnQHoxX5AL03Phl0Tb4LWrYOg9sjPXAN6094JbYD+/kh1QH8+rg3QN0b7TNCGaBzQy6M7HdAtJqKTAF00Qm4AXXz9lNmhDFCggG4zQS/09P0OvJ4ArZu6wx19FnhABPUJ76NNEBU8oJelZysD+tKheSaUr0rNMXWMATqvTSKgl/sBfVVqDuyaeBM0fnI5DuinF6KA3vD5pNABOtMm8fJYFdALe6GA3rA8ngR0XptMQOc0idcm/r2ZAnRRh3jd4f+urE2CJqloE69RUkB30CbZJYFUmx7rR2vTOqs2HbntIihOzfHA+5I++mht8lpoQA+zCBTQC5LnQ5nfFAUD6Dsm3AytW/pC3Rc3QkNLBdTUFXYsoLMsRTsCuswEUYAuMxGiQWDmgTJBYsaCeo7NBCFmCDNBPJx7EtDXRfl+vs/H+X4Htg7y/Y5sjIZvF6RAt659PU0Jb7QAACAASURBVCCG+oTn0SaIio4A9JI0nxYxQOervN4aPxNatw6C6qrF7QPoryfggM50SQXQywRAXxlnAXSLNrkAdD57LgI6lX2mtInXmMq5I11pEw/olgtkRW1SvjwmQJz9maz4orTpwSEkoDetjLNq0zNRbdrk/514cfTPoXfsGDCMbh54j9InPI/WJq+FBvQwi0ABvTA51wLozCSt8RufkAH6iUwLoPNlhCEFdNEEMUinTJBQSkgBunKWIhBAFzIVzAw5AbpYUsgDui2L3k6AjmUnqAwF+3zMBFUtTHQEdNMErfH9LFs3RPt+3pt7Q+vrCdCyPcX8nbm3330eEEN9wvNoE0SFDNCZ7lCAzmfCi1PbtGmt/wKZB/RiDtCZLq1KzYE3LrodWl+Jh+qapXJAPzRDHdB5baIA3SmD7nR5LAF0U5v4i2MFQFeu7CIyzyqAXjl3JFTOHemsTWIGW4BlGaC7zaCz104BukWb7k+Sa9Py+DZtKhW06dkY38/ff3ncsmsEtOxI09qkTycerU1eCw3oYRahAnQG3WsysqBi2Dwo6yhA3zMemj4cZwV0WRmhag+6VwGdMEMYoGPlhcECOjvBADr1uikDZn4Ot4BOmaDX+kPrtkRofn8kNO0ZD62v9Yfjd42GoT0mQ0RErAeEUZ/wOdoEUSED9HK/FrGechmgF6XkSgGdadPTw++1XDZvveg2aHkqCqpP5sl70EMJ6Fj7lVtAp6q7KEB36D+XzUbB3tt5HeEvXxmEhwrQLaX1IdIm8XVj1WWnsobZtYkdrg+dXX5IL48r/Bl0/4wUmzZt6Qu5A+4DnUnXp+OP1iavhQb0MItQAXoRV3K4luvlW5ORBYXJubAiJdcc2FOc2pa12DHhZmh9rT/UHp7ZMYDOZyn4UkJmgsRSwg4AdBM8VYasCUZINEGBAjqaxQ4BoMsuF0QThGUnzAwFZ4AYoNcuGqieQWcmiAH6W0OgZdcIaNozHur3T4bawzOh/sBU+OrOsdAzZoQHxFGf8DjaBFHhFtBL0nLg0SELbCXuDMArhs2DtcPmmb3mrKS9MNkK6MWpvgFzWy+6DZrLYqC6MvusA/SmJ3uauoRqk5sSd6HM3enyWBy0pqpNDM5l+oRVj4nZdD6LHow28Z9fvHhAtUnMoPv1yfHymNemLX19WXS/NjV8PgkaPp8EBcnz4YLut3vg/Uqf8Dlam7wWGtDDLDoK0AuT2wC9KCXX7CHcPuEWaH1rCFSfeRAaW9dBTV2hzwR5EdAxEyQDdMVBPDJAFwfyUOV4gQA6b4IoQEc/NwLovFHBBglRFwyo+RJK20VAZ31+GKA3FvSmAX1T9zYTxAD9w3HQ8PkkqD08E6pP5kFNbT5ULUyENRlZHhBIfX74R5sgKtwCelFKrgno/ADTFX5AX6sI6EUpueqAfnw2CugWbXIL6Ju6q20Y8QCgy8rEKUh3q00yjcD+7kqbsI9FaBNfXUZeAgiALq3uKo+2AvoLPdu0aWcGNH04zrw8rq7MhtaN0RrS9enAo7XJa6EBPcyiswH9nUtu9a2yqc23A/rphb4hcQ6DeGwmSGUQjwjobEicG0BnpYSBmCDOCDkBOgq7xLA1zATx4E5Ny+XL+Kgyd96QUSaImvQry6DbLgdy7VN5MUDHStwtgI5lKRAT1PD5JKg9NMMH6HWF0NBSAdVVi6Fpz3i4rrueqKtPex5tgqhwC+grAgT0guT5JqAXuwV0IoNOAvqONJ8u8drEZqPwQ+IUAL25LCZobUJ70EVtclj/6aaX2wnQMZ2SahNymYxpk2wKvQqgm1+PcHls0SeHKe6NBb2hsbCXVZuENaDmENOdGdC8eww0/P1KE9Br6gqhfv9k+CZzBPwoNlO3Y+nTzkdrk9dCA3qYhQZ0+bRcJxMk7px1A+hYlkI0QrLBPJgJogDdaYCcaIJ4MyICutOu2VABOv85+SxF0ID+SrwJ6KYJEgC9+T/PQGPrOmjdGO0BodTnh3u0CaLCDaCXIYBeqgDoRSm5NkBfkeLTtrcvnqnWg45okxTQRW2SAbpQ3eUG0PksunS7iF+bTDgXtUkoEVeBdCdAl01xFx/ntcn8cztqk6wCAPu8jtrEATqqTeIaUAHQ67640QR0Xpt+f/4cD7x/6fPDPVqbvBYa0MMsNKC3D6DzJogHdDcmyKnU3QnQxfJAZngos6RqgmSZCey129bZCKBO9feJ2Qq0jHBxAtQ/1s8Z0EUTxGfQeRNUm28xQdWV2dC6Lgqm95jvAcHU54d3tAmiQgboaxBAL0rJNYfEMUBnwF2cau9BZ9pEAfr2CbdA64ZoqD7zINQ3lePtV7w27Z/sHtBfT3DVfmUbXupGm1QBnajsChWg8zCOaRP2XHReSSgBnR/+xmfqxWoApO1LLHMPGNDZqrW3hkDLjjRo/mBUmzadyITqmqU2bfr9+XMgvvuFHngf0+eHd7Q2eS00oIdZdDagv33xTBPQG1oq2rIU/B50RUBvfn8k3oPOTNAr8XIT9Iw9S+FU4h6wCfIDusUEqfT6ccZEBuhUD5/4Z+o5oglCS/oCgfTOAvRnOEDnStwtWQq/CapvKofG1nXQ2LoO6hpLoLpmKTR+cjkUJufC0B6TPSCc+vxwjjZBVIQS0ItScqWAviq1gwGd6VIHA3r9sr52bVJsvVLWJv6S1wWgO5W+qwC6W22yALeCNjEgl81jYVl0BudSQMdK3Dltavzkcqg7OB2qK7OhumYp1DWWQGPrOmhoqbBo00/0BbI+IT9am7wWGtDDLEIN6OUCoJelZ5uAzia3M0AvScuBrRfd5hsS578ddg3oeyd4DtBRE6SSpRAAXWoiggB0zAih/XbI+hpscm2oAV3MUtgG8vCD4vgS9/w+pglqXh2LT3GXAbrEBFVXZkPtoRlQ/1g/eGXsnRBh6NJ3fUJxtAmiQgT0FSm5yoBekmbVGhmgs8vjtcPmmYBeGiSgy6q7WrantOmSmwGm6+SA3rQyTk2b/NAYiDZh1VyW93b/wQCdmoWictDLY06fOkKbWIadB3QxY8+0qfqBoc6Xx9SQuK2DoGVHWlt118Hp5uVxXWMJNLRUWL3SyTxofakX/PuWSyA6cqgH3tP0+WEcrU1eCw3oYRahBPQVKbmwPMlXLsgAvVQAdP65ngN0xARJ16y5NUGLEywmqObBIWSWgv0v2ieHADpvIkTzI9srqwroYgY9ECMkDvUhTRCSHREzFOIkdzFL0bw6FjdB/CobscRdMEFm32nVYqiuzIa6L26Exk8uh+b3R8KOCTfDZD1ATp+gjzZBVPCAXp6RBcWpORZAL0vPDhjQsequCg7QV7ENI24AHelBZ2vWeG1q2Z7irv3KC4DuP6znWnW+iBOcU9okuzwWAZoHdKcsOjbXhdcm7OOLn1v58lhFm8Q96Jw2mRl0pk1Viy3aVFNX6PtdPJFpalPVwkS49ZwF0K1rXw+8t+lzdh+tTV4LDehhFsEAOoNzNvm2MDkXlg7Ng1Wp7QvobM1aQCXum3t3CqDb+tDFNWsIoFMTcm19c4KJoAbtOJkg3giJBogHdAzSQwHoqEFCStzNQTyBADpigiyArmCCmj8Y5TPZz0TB1otug9S4GzwgpvqcnUebICowQF+R0gbobOgbA/TC5LYhcU6AXioAOtM6HtDfueRWE9AbWiraAB0ZEld7aIZ0D7ojoAd7ecyqu5guBaBNTpfH/Hs+qksSbaK0CPu7bKgcBtAybXID6JZBcJJhpny/OnZ5bNGmRQPpEncR0F/q5fs9eD3BvDw2S9yRy+OaukLf7+KJTKg7ON28PG7ZngKvjbvDA+9t+pzdR2uT10IDepiFW0DngbtDAB3JUvyQAV00F6EAdOywMsRgAZ0yQkqAzn0N4ufkzZJ0lQ0B6I5T3BUz6AzQa47P9pmgfRNNE9T6Wn9ofakX1C5OgNHd74CYqCQPiKo+Z9fRJogKJ0BfNyLTAugFyfOlgF6YnCsF9JK0HAugb73oNgugy6a4uwF0dIApBugbo91rUxCALtMm8f0eHf6poE0UoPOZdUybxGnuIqDzr8kJyrEWMtugOAdtOnnvcLk2CTNSHEvc+fkoyOVxzfHZ+OXxmQeh5tgsU5tado3w/X5t7g0Ny+Mhu/990D/uMg+8z+lz9h2tTV4LDehhFm4BnZUShgrQP592FbRuHWQB9JrafCugH5/dfoAuM0FiD3ooAV00QkL2PBhAp/r7+MepfnSqhFAG6E6wLgN0tLSdz6o7mKDaRQPVJuUSGXQlQD/zoAXQTRO0pa/v422Mhtb1UbD7ihtgQcJ9HhBWfc6eo00QFU6Avt4loD86ZAGsHTbPvGgW56Pw2rQqNQfeuOh2aH0+zn55rLBmjbVfuQJ0TJuoPegdcHlsZtGFi2O+Fz1YQHcaBkcBOnaBK2oTNtgU0yZb37mDNskuj80Bpn5A57WpIb+PfQ+6COjCmjVW4s4AvbahGOqbyqGuscQC6PUHppqXx63bEn0f54We0PpsDHyTOQLO7z7TA+91+pxdR2uT10IDepiFE6CzfbGhAnRmstggnqqFidD6egJUVy0OKaCbZYRbBzmboI4EdFZKyJkgHtCpibmhyKBjgC7+O1mPXzCAjg3foUrapSXuDND9lxwioDfk9wloDzpV4l7bUGwCOjNBLbtG+H63mAnaGO37vamIgsaC3rBkaB7ERQ/zgMDq4/2jTRAVKoBe4aLEnQF6uR/QS9JyLNrEnssDesv2FKhtKFYC9LqD050BfXuKGqDz6z/9uhRKQOfXf8oAnWkTdnGs+t4uA3TZ4DhssKk4eI7XJmyqulMrVqi1qWphovk95LXJHGKKAbo4xV3MoB+c7gN0/+VxfVM5ennctHeCVZuej/P9/qyLgjN5qbB9wi3QK2akHnCqj+LR2uS10IAeZiEDdLZ65unh9wYF6Cs4k8SexwC9+oGhzoAulBFaAJ0YEucK0KksBQ/o4jAeF4Bu2YWuCOiyMjyZiaAGvzlNx0WH8CCrZGSALlvF4zS5Xfa5VQGdmSAT0MUp7pu6t/X5UT3okgx6/YGpuAligL4mCprLYqBpZRzUPDgE5vW7D/rGXeIBodXHu0ebICrcAjqbj8IAnc+IM0CvEACd6Z0I6CVpfkDfkWZCkUoGvX7/ZGj85HLnAab8FPdX4pUAveWp0JW4ywCdr1BSBnRFbcIy5dRUd+wS2VZp5QLQsaouvv/clTYJ/e+WFaAq2kQNMCX2oPMZdNvlsT+DbmrT1kG+3yUO0FvWREFzaQw0FfWA5Ul6JZs+Kkdrk9dCA3qYhQzQS9JCA+jsv4cC0OsOTlcCdEuJe5CALg7jcbtmDQN0zATJAJ0yQiqArgrnohnhTQwG6NTkedEwyQwcOYBH6DFEywhVTJCYQWdT3CV70GWAbmbQtw6yZClanuJM0Mo43+9FQW/4dMok/+qbKA8Irj7eO9oEUeEW0MvSs6WA/vDgBeaGkUABvaY2Xx3QZe1XIQJ0mzaJgF7Q23EFqAqgu708pnq3KUCn9Imv6rJUeHHr3UTgxqDcSZvEzLzsOAI6Mh8FzaDzgE5cHlv2oHMl7jZt2j8ZmvaMR7WpdZ0/0eDXpvrH+sGOCTfDZbFzISIi1gPvgfp482ht8lpoQA+zCDWgL/GbIx7QVzkBulMP+rFZUHvkZ2EF6G4y0fxRndZOATpvgkTTQ8E5Buiqa3hEE4YZOwzQWRYdM0FuetBtq2zcZtA3dW8DdGaCinq0/U4sj4dvF6TAuhGZ0KVLbw+Irj7eOtoEUREooC9LxAH9ocELzMvjUu7ymAd0pk3BAjpbs+YK0PkhcTygPyMA+lMKgP5kz8AA3a9HYg+6ky6J2uQE6DJdwkraRZ1wq03kZbfDxbG0Dcx/ScCG1IkXyAFpEwP0HWlWQOfaryyAfnqhVZt2ZrQB+qbu0PpMFKlNtYsGwr5rr4NrumdrbdIHOVqbvBYa0MMsQg3ojwxZYHmuCqA3vz/ShKIOAfSXelmnuAcK6MwEuQF0IUuBrVkLBNBlpezi42IWgzdSpgHhzId4qNfKlz+iRkiyggfLYMj6/ExA9xvMYIbEBQTolAlaHWsa44b8PlC/rK/5c//jBXfDjT3zPCC8+njnaBNERaCAXpA836I7MkAvSfN9zFACOr8HnWlTy64Rba1XgQD6egHQKW1SAXTZkDgO0CltCgTQeQ2SATqWYcfgWNQXEdCpvnOpNhGALn4NpDZJ9qArlbg/H0cOiWOAjmbQj81qy6AzQN/c27U2/aSHLn3Xhz9am7wWGtDDLEIB6AzSVQGdGSYG6E0fjoOGloqOK3FXAXSZCXIAdLHXz+0edKqMUNbLLes3Fx/HAN1mggTjg5oRBNCVIF0oY7cN40GG8Ig96MqATu1BdxgSh5YRYn1+EhPEfgf4qonKuSPh0M0T4I8X3A1JPabogT1hf7QJosLTgF6ZLR1g6gjo/JC4EAE6pUuhBHRRl1i5uNjLjWmKLEvOa1Pl3JGOgI5d/IoaJNsoEow28ZcE4vwVUZv4NWvSEndiBWjjvom2PeimNvl/F8kM+rMxPm2q8M1GaV4da/5O1C/r6/u5cwmDyrkjYf/0K/RaNn38R2uT10IDephFKACdmSM3gL4qNUcO6HyWwm+C2qXE3SWgi+Xt7QHo2JAbJ0CXZSWYwRF3zopT3TFAx4a1yUrcsSFCmBEioVwR0Pk9s3WP9vdlKNzsQfcDOpVBlwL6zgzf7xYP6BU4oIsmiP2sz+SlwunsDChMzoULY2d5QIz10SbIW+EG0FlL1VKXgF7mL3PnAb2IAPSaukIc0I/8DF+zFmJAd6rukmqTX5cwbTKPoE2sWkkF0DG45bVJVsbO96FXzh0JlXNHOmsTP7BNGA5HZdBVK7wC0Sb28UVtql2cQGuTbA+6v8Qd24MualPtkZ+1zUfBMugcoJvaxH7+/ksZ9rP+dkEKfDplEjw8eAF07RLvgfdHfbQ26WChAT3MoiMAvSQtx2KC2gvQW3aNcAZ03gQpAjo/xd0R0JFpuTITpJKlUMmguzFBPKBTmXTMAGHT21VL80VDJMua873nVJYCNUH5feSALpogN3vQj82yrrJBTJAU0AXDy38vvrjpMhjb/S7o1rW/B0RZH22CvBEioK+SAPqajCwoz8gy/zvffiUDdPZxeUAv9mvTv2ZcSgO60H7lBOjN7490X+LOtGm9woYRZDaKMqD7S7F5bTJ1idAmEnKRmSiq2kQdNIOOZNEpbXICdLFE3w2gi/pk0SZW4u4G0GV70GuWSvegmyXuxOUxP7wU1Sbu+3M6Nw3+9+qpMH/AfRAbleKB90l9tDbp0IAeZtERgF4m9KqLgN68e4xldUhIAV3cNRskoDuWuFOAvmigeXgTxAO6rBxPpcTdqYSQAnTSBAlwLk5zDwTQqbU2MkAXP5djlqKoh9ognmDXrCmYoPrH+tlMUNX9STZTe/Le4fA/l86A23sv0GXvYXW0CaIiEEAvEgC91K9XbgCdaVrdo/3VAJ0rcZcCOr8HPZSATgwvDVabeECXahOvFS4vj8W2K0qbeD2TXR5jeiFrv8J66MkSdyFzj14gYwNMnaq71guA/nqCTZv4PegWbTq90Hp5TGTQmTY1FvYy+8+ZNokeRKwmOHr7hXBnn/ugd+wYD7xf6qO1KXxDA3qYhQjoRSm5UJae7QjobMhbMIBexgD9g1Fm2RYJ6FyWwlWJe6CAjpkgGaD7hS9gQPeXlznd9JsmAZmKjg2Fo3rPRVOEmiAFQLdBOvd1kEZIGBInmiDplFxqlY1KBj1IQFfJoPMmqGF5vBzQkaFEJ+acD9269vWAOOujTVDnBgXo+Uk4oDNt4gG9zAWgr/ADOiuZr3+snzKg1x6aYQf0vROgefcYNUBns1EwQFfRJmq7SCi0SQLovD7IBphSA0tDoU0YoKMD4/zaJM2gE330NmBHBtOR2uRmPgo/xZ3bg84PiWtoqbBm0NnlMb9mbXNvWw86m+AuArqYQcf0+VTWMNg+4RboEtHLA++Z+mhtCs/QgB5mIQJ6cWoOrB02jwT08owsWOM/ZUEAOnvOmbzUsAd0ZoQoQEdNkOKwuPYAdLHPXMwgUJkKWZYF/TsG6LIedDaER2WKe4B70GWA3lwWYwI6KysVTZBZQohUPmhAD8ejTRAVFKAvlwA6qwILBtDL/NoUKKCbe9AxQKfWrPGAznQpVIBODIqjtInXJbYCVEmbJCXhTsPiMG3ih8XxOmXRP6L9ispui4NXZUPiVAFddnksnY/iMCTOtmaN06a6xhL7kDisxH09d3nMATrTJuZFKG3iW+Bu0htIwuxobfJaaEAPswgU0CuGzXMEdGaEMEAvS8+GimHz4HRuWnCALts1G0wPOmGCREDnsxRuTJBbQBfL8FQAXTa9HZvmzh63lSwSgC4aIlmZu6xPUQXQZUPizDU2sjLCDdG+n3cQgG7JoIsl7k/ZS9wblsdD3aP9bSaIN4LiRcnXd4/SgB5WR5sgKgIB9FUIoDNoZ4C+xgWg8+1XNXWFUF2zVB3Q94w3Ad3WftWRGXSHAaaOgC5oEwbngQA6pU0MzklAV9Am/jFKt2yXxg4l7hZYd6NNYga9qIe9xF0cYCoMieM3jNhK3KnL4+fjbJfHTU/2NDPoFm3i56Ig2lQ5dyRc1z3HA++X+mhtCt/QgB5mcTYBOjNBnQbobEicDNCRPegUoFOlhFJAF/rhRAMRUkAn+u0oQBcfowDdVtZO9aI7mCDbnlkR0MvUMuiqe9DrDk73Tcol9qDzJogfxKOSpWCG9I4+C8AwunlAnPXRJqhzI1hAL+a0iQf0imHzHAF97bB5UP9YP2jaOwEaW9e1L6Bv6WsH9AAuj1UAXVWbQgHofDWWE6Dzk9vZ+yGvTUyrAtUmTJ+oS29Km8TKMr46jFoBygC9fllf+eUxsmGk+YNRbdpUmW3fg8580olM3x50HtAJbeJL3GWXx2Ilw4k552tAD7ujtclroQE9zCKUgL4iJRcebQ9A90/K9Syg+0sIXQG6pNdPnKYqA3SZCRIHxImATk3YlZkgZkZkQ4OcshTS0kHic8oAXboHHTNBQZS4m4BOZNDZFHeZCWI/R6zVQJugcDvaBFERCKCzvebtAei1DcWOgF6/f3JwgP58XGgBXWEPuk2XHLRJFdDF4aNYiTufoVW6PBarsFxqkzhHRfxY2LR4p80mYguWqU2sxJ1dIIt70BXmo2Al7tgedPPyWGHNGtOm2sUJKKCLl/rsZ6O1KdyO1iavhQb0MItQADp7bFVqjitAXztsHny7IAVadmYEDuiyHvStg0IO6M2rY0kTxIyQG0AXV61hcCsOWFPNUoiAju2XFeEczR4gsCw74nOogXZUbx92+EE84iobvs+vIb+PWgadW7OmugfdNimXz1JU4IDOmyDWz3kmL9Uy3Zg3o1Pjcj0gzPpoE9T5EQigr8nIgpK0HEdAZ9okA/TaxQnKgM63XwVV4u4W0J1mo7gAdJXLY6qyiwJ02UwUsXrIjTbxf+YvC5x0SSx9F7UJ+1y2ti+JNlGAzrSpsbCXvcRdsgfdsmaNy6BbetDZmjVxirs4JE7IoIvaxAO6eHHyp9Gz9BrQsDtam7wWGtDDLEIJ6CVpbYDOmyAZoFfdnwSt2xJdAzo/iEcZ0AMtIyzteEAXTRCfeaVAVyxrxwBdNDxYhgMrQXcD6JgxoqaWk4BOGK+gAB3Zg25bZePv85MCukIPOm+C2JA4HtB5M8gfDejhdrQJokIE9DUZWVCcmuMI6Cw7zgC9PCMLCpLnw8ODF5iVW06AXjFsHhz/+QWhAfTdYzod0C3VXUEAujj0U6ZN/FA3qsRdBuhU9p3KaKteHlOALraGybQJmyDPtImv8CK1CQP05+Mc96AzbRKHxFkuj5k2CYDevDrWEdDZz1Gstls7bJ4H3iv10doU3qEBPcyiPQFdNsVdBujVNUuhumqxO0DfPUY+KVcV0NfLTZAJ6JQJogAdKyUkAF00QW5BF+tFx8rbKaDHPq4KoIsD4shSQuKIA4BEE8iXuSsBumKJu2oG3bYHHcmgY1kKcZUN+7rELNHWi26D7tFpHhBmfbQJ6vwIBaCzf7cixTcfpdyvXSqA/u9bLvG9P4QA0JXXrImAvtEbgI5loZ0AndcQEbZ5vZEBuvh8LMOtenmMbR8RB6NRLVemNvn/LJb427TJCdDZ5XGFcHmMrQA9OB1qjs2yAzrTJn8G3TIf5aVe5IaRhvw+vu0igjbx3w++wksDergerU1eCw3oYRYqgL6WM0FuAb0kLccC6PyudVeATvX5hQLQN3YCoPtFnM+sOk2gpUBXBdDFfnMMxqnDmyAKyrEJ7lJIR74OmfFCTZAf0PkhcYEAOtaDTmXQLSaI2IMu9qDLAJ2/ONEmKByPNkFUhArQK4bNgyIC0NmUdwzQ90+/AlpfibcAOrVmLWSALtMmAdBl6z/FFWsWbZIAOnuvctIm8fJYbGXiwdwJ0LEBphiQY/9eBuiiHilrEwLo4uvASuYtM1ICXbPGaxM3JI5l0C0l7tQedD6Dvp6+PFbRJnZxorUpHI/WJq+FBvQwCxVAZ/3l5SEA9FX+wwD9dHYGNO2dYA7l6lRAf8YZ0MUsBdbrRwI6u7F2AejiwVaVYYAuZi+wcmpZ1tzyd2yauuRQfX+yLDr/GmV97653za7xGVu3e9CVMugKJe7s51/z0CApoGsTFK5HmyAqAgV0BuluAV2s7to//Qpo3dzbok1OgE5NcbcAOhteqgroG6IDAnS2TcIR0MUsul+T3GiTbRgoAupUKxWlTSrtWKJW8CAuahLWQoZqk/+9WSzXNz+noE0BXx4HuAfdAuj+NWuW9qvXE9AhcRZt4n7+TJt4fyECeoXWpjA8Wpu8FhrQwywCAfSKYfNCBugn5pwPtYdm4FmK0wvbF9DZvllmgjoY0CkTJDvMHFDlhNRRNT9iKR/W46cK4z86ywAAIABJREFU6OK0Xxmg86/HEdDvTwoO0PlVNiHMoNsm5RImSGfQ9dEmyDkCBfS1/intPKAXp+Y4AjrTqHL/x+ABva6x5OwEdF6bqBJ3QpvMEncXgM5rE6VDodImDNBlekRVAThdeqtqE/scsvYrdEicuAedDYn7YJRtPoo0g753AjS/P9I+JE5cs7Y8vu3n7/+Zy7TpXzMuhahugz3wXqmP1qbwDg3oYRbBAHopAuhLhua5AvSv7x6lDOh1X9wIdQen28oIbYCOlRGqALpCibu4Zo03QQ35fUhA58sJqV2z7QXooukRywlRE4QMxHEyQSSgiwN2hOE+Ygkhb4KoXkJHEyRbZUMMiVNds9b8/kh7Dzq2a5Y3QUifH/91f3XnWJis19iE4dEmiAoVQGe64wTopenZNkBn2lQsaJMF0F/q1f6A7lTdRQC67PJYCugutInpkqw8PFBAx4Bc1osu0ybqApnqQbdoE3a4iwBZxt4J0M1d6PyaNQ7Qzctjvgf9rSEmoJsZ9Mpss8Sd/T5a9qCLU9yF+SgYoFt60IXVrjygf3HTZWAY3TzwXqmP1qbwDg3oYRahAnT29/yk+RZAZ6WDogkq7QhAf2uIzwS9nmBfs/ZCT7sJesb9HnRmghicBwLoVQsTlQAdM0GYGZL17bk2QbKdr0iGgloVh/adc+V04mvBAJ3/nI59fpgJcipx95sg5T3oMhPEAXrNQ4Msw5ZEQNcmKJyPNkFUBAroFQigl6Vnw6MKgM4Gx6lk0GuOz24/QOcvj90MifNrEw/obMVaIIDuVN1lm4iOZKIpbcIui8WBcY7a5FDhpQzoAWgTNZMFm+Luag86A3SxxN2/YcSiTf4Sd9uQuFfildesMf+htUkfrU3eDg3oYRbtDeiFyblQkDzfhHS2o5YH9LovblTu82OAbu5B9xKg+zO4jiaI6z13k0GXmSAMyGVZCqkJEjITIqRTfX0qgC6WJoolizITxO+atZkg/67ZQHrQsSnuGKDbStwRQMf2oNcuGmj5GTNjyJvUf/70R9oEheXRJoiKUAJ6eUaWDdDZQDgK0P99yyXQ+kq8BdD5Ke4ioNcdnG4DdNsKUNXqrk3dfbrkNCSuzKG6i9uBTgG6WOLO6xKlTTyY8+9p1PBPEcoxQMdWrjE9YH9Hq7EUtEla4k5pEzXXRbgQELXJNsVd3IPuVN0lAjq7PMYAXZyPwtasIYBuWbPmz6Dzl8eYNlXOHam1KWyP1iavhQb0MAvPArrDkDgT0LEedArQeRPEAJ2ZIBHQnxIAvUwR0BVNkAjpToBuMUHCTT+VmaD6+vjBZFi5u60EHQF02etELxYEEyQzQlhZvWmC/Lf9thJ3DtBNE1SGAPpLvdAMeu2hGe4AHSlxbymPNgG9saC3dFIu/zPTgB7OR5sgKjoC0Jnm8YDO2q8OzxwPrVv64mvWiOouTwK6X5eU5qNgF8eCNmHZY7G0nRqwJmqTLIMuwrtNmwRY57WJym6LX4OsJN8J0NGsveTyWLoH3eny2KG6y9QmVuLO5qNsiLYNiWss6C1ds8b/zDSgh/PR2uS10IAeZvGDB3RmhKgMuktAp/bNhgrQMcC19IcRgC4zQeLQHad+dNIEEX3h2NRc0QxhZY9SQCem89oA3V+dgGbQeUBna9ZcAnptQzFugogedCdAN2cJcJmlbzJHwMEbJ2oTFJZHmyAqQg3oRSm5lr8XJM+H+QPuswF6SVpO+wD6jjT75XEggP6UAOhOl8c8oPv7oW1r1gRAN4eXcoCODYpjj1EDQPleZnEopuyw54nZdLRXnNMpMcNPzUexVXdRIC48jmXtzcy9gzZZMuhlCKAzbfIPiWv6cJy1ugvLoFctNvegq24YYYBOzkfJzrBcjPxp9CwPvE/qo7VJhwb0MIvOBPSKUAI6lqXAAH1zbxzQ2Zq1QACdGxDHBrCoTMqlAB0rzZOtKRMBXWaCxH5APlNhMyFiFt2fpcD6wqk/Y68bA3TRBGFl7liGAjNBJKBv6m41QQpD4mobin0mCMugO5kgZM2aCei5aZafiwb0cD3aBFERDKCXpOXYAH2V8PeC5PmQ3d9DgM60KUBAJ7VJBHRsD7oioLvVJqyM3QnQeW1igI5CMgLoWFtUINokA3RsWNy3C1Is2sQAnQ2Jk05xZ5fHyADTxk8ut10eWzaMcNpkGRLnZs2aeHns1yb2s0qNu8ED75P6aG3SoQE9zCLUgF6QPB/KOEDPT5oPDw9eYE5xL0nznVWpPlN1/OcXqAH6kZ+ZgN7w+aT2AXTEBGGA3rw6VgnQ6x7t7w7QCSNkMROIERJL3GUGCBvawwM6lkXnjQzadyfpR8f2zMoA3VImGQCgkz3oIqAr9qBLAZ2Y4q66B53/mfzPpTM8IMj6aBPknVAFdKYlKoC+RgD0ef3uM0vdGaCvSs2BigAA3aZNToC+dZA9g86y6Gw2CqVNoi45XR6z6i5MmwRAd7o8Ft/nKV0SL48pQKcGljpqk1+PsAy6mPHHLhZsw+ZCoE2mPnGAbg4xpUrcmTYRgF53cLpvzZoA6GZ117FZjpfHpDYh7Vf8xcqprGGQHvdTD7xP6qO1SYcG9DCLUAK6aILK0rNhedJ8yB1wn2mYQgHojhl0tgddNEH8vtkgshRSQOeyFMwEWSBdAHTVTAUGuqEAdKx/HRvWRvaEC2YN6z+nev34DAiVGZGVuLsGdKLEvT0BXezz4wGd/z5rExSuR5sgKtoT0Mv8l8nZ/e8zq7sYoBcjgN7QUhE8oGOXxxig8xPcXQJ6QJfHPKArVHeJ7/MY6GLaRLVeie1Z4r8htQkBdDfaxOsLWcpOtF6pAjrTpvplfdH2K7LEXajuYnvQGaCbQwvFDDoG6EQGnepB19qkj9Ymb4YG9DCLYAG9JK2DAN1ND3qQgG4aoUAz6FyPH5lBd1nmbgF0ByMkGh5ZDzoG66QJcgno/Fo43gRhIE71nqtk0JnplPagq6xZkwB69YlM0wQ57UFXNUH8z06boHA92gRRgQE605RgAb0UAXTWflWc6lu/JgV0yR70sx7QJWtA2XuwiibxcMsPgRN1iM+QY9pEPWZqkwDNMm0SJ7jz78VYCTulTZQWBlTdxe9BD2LDiAnoYom7RJvYzxrTplNZw+CrO8fC0B6TPfA+qY/WJh0a0MMsOhPQ143IhOM/v8BnbFoqTBPUYYBOmCAlQOdKCUMK6MhAHt58yMryKEDH1qmJj2Fw7hbQ0enthAmyTYgXoF2Ecx7QWY8fy1I4AbrTpFzHPegcoKvsQSdNEDLsT2cpwv1oE0QFBuhPD78XCpLnw9ph81BA57VJFdB5beIB/fhdo6H5/ZGdC+gbFAAd06Zg2q8oQGfaJMKcC0Cnytsp/RIrvERAx7aMyLTJtmKNe+1uLo/FgakioIvahGbQy6PxPehUBp0A9OoTmeaQOMvl8bMx0LoeAXT/7wHrP69+YCg60PVU1jB4dMgCD7xH6qO1SQeABvSwC1VAL+ZW0AQK6KsEQH/u/Dlw/OcXQMPfr1QGdKU96KzXzyOAjpa4CyYoUEDHStWxEkKq1FBmgnhAF18HVTZImSBbeb6DscOmxlsy6AzQZXvQ3QK6JEtBmiBkzZpt1yxrYxAAnX3fK+eOhOQe13tAkPXRJsg7QQF6YXIuPD38XhTQ1wratCYDHxLHAzpr1WLaxAD967tHQc2xWRZAr6nNdwXozbvHqLVfiVPcZYBe4QDoTJcKe6HahOqSG0BHtIkvM8cGrlG6JGoT36Ouok1YC5ZKu5XttWPaxPecO2gTNiSu5qFB6tokZtB3pEHzB6Osl8dVi6G2oViqTWYGHbk8NrWJAbrQeoVp0yMa0MP4aG3yWmhAD7NwA+glaTkBA3qZ/7ns3ygBOjEpVwXQg86gVygAOmWCBDjnjZBpgAI1QRJAx8oBsR4+CtDRHjy+RF1igqgds7Yyd97IUXAuM0FIFt0cwtNegO4ig44C+kODzJ+x2Od38t7hsHRoHugJ7uF6tAmioj0AnelXaXo2LEvMkwL64ZnjTUC3tF+FKoMuW7MmK3FXBHQqg04BOlbZZdElZB86BegyXRKHxskuj7HydnFInKo2UYCOahOlS4IuOmkTP8VdCdBfibeXuB+c7ljiXn9gKjTum+i7PGaA/myMrbrLAujC8FIM0B8erAE9fI/WJq+FBvQwi/YAdFYKX6oA6F/fPcpnarwI6OXRHQLorkwQUd6ODeQR4VulBx0b4KaSpaBMEJlFdzJBioBu9qEzQC/s5aoHvenDcUoZdMchcRXWPejUpFysB12XEYbz0SaICjeAXh4AoD8yZIEJ6Oz5PKAfue2ikAF6y64RNKC/Eu87PKAzXXIB6E0r45QBnfVHhxTQiew5NiNFpk0YoFMD3LDKMkwzgtUmKouuBOiBXB7796BbtInbg17XWEJn0EVtWoNok2wPOlfWr7UpnI/WJq+FBvQwi/YA9DK/4VEB9K/uHAvVldnKgB50D7pClkIG6E0r46zl7Rygs52zoQZ0Wa+faVq4zAUzNVgfIJVldwJ0flqv2BvuVFKIZs1z08zPS8E5b7bEQXFuAF2WQW8XQC/qYd2DTkxxZ1+rNkHhfLQJokIV0NkEdhHQS7mhcbw2rfFfHvOAXoYA+uGZ46H20AzrwMiapWj7VWcAuhtt6hBAR3SJf3/nAZ1/nqhFrgCdmJEitkbxGmIDdAVtoi6tZdoUFKCLQ+Kw+Sj+yyKLNkn2oDNAd9QmToe1NoXz0drktdCAHmbRkYDOZyksgH56YfCArrpmLZSALvSguwJ0bs2azQT5b7NVAN0CtRJAp6a4O/X3sf8V19KoALotWxwKEyT0+VkA3f8zkGbQkTVrDX+/EmoPzaCHxCkCOutBFwGdn5SrAV0fbYLUwgnQ13GAXowAuqhVTJvYOjUR0Mu4y2MG6HUHp58dgM6quhQvjxmg85PcpYDO1ojJLo8pQCe0Cesx5wGdGmQq6h52eSzqE68hojbxr7FdAP2xfnZtKiWGxHFr1po+HGed4s5l0LES96a9E3yAjqxZM7WJA3Rsirv4c9TaFM5Ha5PXQgN6mEWwgM5DuhOgl/kn5LKMhyOgEybIM4DOlRGygw3iIQGdBzciU6EM6ASMYz3m2AA5FNAFEyQaH2yKLZa1oPrOVU2Q5eO6AXRxlU17ZtCfwk2QYwZdm6AwP9oEUREsoPMZdB7QiwlAL0UAvf7AVKhvKg8a0KVT3PnWKwrQn+l4QLdoE7fnW+XyWJxjQmkT9ne3gC5OVUe3fxAVXiigE9pkPo/SJnGKO7cGlFUxNBb2sgP6egTQd6SZGfTaQzMsgM72oIsZdBPQ+Qz6hmjz98VsyxMAnV/xymfQP7nuGoiLHuaB90h9tDbpANCAHnZBAXp+kjqg833nbgH92B3jfAO4/MLTqYBOmCDTCEnKCEVAV5riLgF05WnoSMZCNigOy6A7AjpXRohlJngTJO5xlwG6+LlkJojfwYvumpUAulOWImhA3xAtBXQqg87+VwN6OB9tgqhoD0Avz8iCopRcWJWaA48MWQDzB9xnDphjuiQCem1DsTKgM21q2jshOEAXp7iHCtBVL48dAJ3UJuTSWFa5JdMmp8tj9mf2GqhsuahJpDZhrWNYuT6iTejlsaBNJqAX9bBrEz/FnVuzhu1BZxdGpjYdm2XXJmEPOgboojaJbQt7rprmgfdHfbQ26WChAT3MQgT0VX5AX5aYB6tSAwd09vx8BUCvOT7bYoJsgH58dvsBOjNCKoAuMUEYoKvum5UBOjagDQN0tyXsVKadMkHSoW3EEQVffO2qgM6bKrOEUNw1KylxD8WaNR7QzTVriAmSDYlj+2b5r+3AT34MA+J+5AEx1kebIG9FoIDOesxL07OhKCUXBfRiBNBXpOSa8M4Dek1doRzQD80gAd22Zi1QQOdL3NcEB+iOk9zF6i7uclS2XYTSJnH3uSqgY9qEzVbBBrZZys4VLo/5Pzt+Li5zrwzoy+OhIb+Pq8tjag+6mUEXtMkyJE5S4s5rEz8LR9Sm/716qgfeH/XR2qSDhQb0MIv2AvSilFwoScuBgmQroDMDVJqebQP0usaSkAG6bQ861ue3qbsc0EUj5AbQBSPkCOhchgIDdBusE4DuZIDcArqlTJECdN7EIWbOZuC4TDoJ6JwJsmRDEEBv9zVriiaImuKOmSD2dWkTFO5HmyAq3AB6YbJPb0RAL0ier5xBX5GSCysIQK9tKG4DdHGKOwLo5B50J0B/Ps56eSzZgx4woPsPqU0YoCOtV1g7UrDaJNs0wv9d+fI4EG1yujwWvm72+djKVNfatB7Zg74zA5o/GGVm0EVAN7Xp9EJ7dRcxJM5cs4Zok6UHXQO6PlqbPBka0MMsOhrQC5NpQK9tKIaausL2A3QxS8EDOjNCoQR0mQniSgmdTJCbDLrMBPF9gFhvug3ShcE5ssE4YgmhKqA7ZSnELLpTlqKxoLfvZyPbNRtkBt00QcgUd1ZGaDNB/n2zPKDrMkJ9tAmiIxSAnp9EA/qjCKAzDSzPyFID9OOz3QE6Vt0VCKCviVIGdHOSe7DaxL3H2zLPgjbxcBuINqkAOqZN/IWuTJsYVGNfhxtt4gEdm49S92h/fA86VeL+Sjxa4s4DumVooTgkTgT09bQ2kUPi/OfDK6/3wPujPlqbdLDQgB5m4QbQV/ihm+/rCxWg19QVtp2zFNADNUHVDwxFzQRW4s73+vEZBKpEkB+0w/6NWHIoBXSkjNHJBIknIEAnytyxQTykCRKnuAcB6NUnMq0ZdBVAf6yfpbcT6/PTJijcjzZBVIQK0EWdYtqEATrTpk2jZsNXd46FmmOzLNqEAjqlTYECOtMlvrqrnQDdokucNrFssDKgCzNGRG3CwFxFm6gMuwjJpDYJuiRm2Z0AXexDlwK6RJtYCxZZ3bUx2vfzZ4C+Iw2aPxhl24POWgGl1V0qgM5r04ND0LL/oT0me+D9UR+tTTpYaEAPswgW0EvSfOZojd9AiYC+IiUXHh68wAboZenZsHHk3LMb0Lk1a0EDOj+MhzMUqoCOTcmlJuEqAzpSwigzQeLkeWrAHW8CbFN5CeMlmiBzUBzLoPsBXWqC+DVrSJ+fbBBPMIBuTnEXy0OzM2BBwn0eEGJ9tAnyXrQ3oC8ZmocC+pqMLHh+1N1w/OcXQPXJPKsuOQC6ZYr73gkooDtqkwjoG6KDAnTLHnSh/QoFdL8mmZCucnksAXRRmzBA5/WK1ydVbXID6FjGX/x6bJcBvDYRZfU2bUIA3RwSR1V3vRJvL3E/ON2mTWIPev3+yXZAfzbGBHQ2JM4scSe0if95dY9O88D7oz5am3Sw0IAeZhEKQGdlhBigM/PEAzpby/a78+6xAzozQQSg1x2c3nmAjuxBt2Up/OVjZA/6ooFKgE6ZCh7QRdOA9ZiLZkd8zLEPPQhAFy8XbNAulEIGBejYIB4ZoAdQ4l5/YKrSpFyxz483QWKvozZB4X60CaKCAvSC5PmuAL2MAPTi1BxYkNC+gC7VJn4POgbobMOIRJtIQOe0yRHQ/ZpkapNfk1xpUwCAXjl3pE2b+MfcaJN4AcwPFkUntyPaJGqr0zwWZUDntMlcs1Ym7EEnStwtQ+K4DDq/Zq36RKZ1D7rk8pjXJvazZ5cwWpv00drk7dCAHmbRmYC+fkTm2QXolAkSjBAJ6DycC+tsLOWEKtPQRdOAADpVMqg6RI4CdFbWR71WLMOCwTl5kM/J9/mJq9akg3h4E8SGxHFZCmrNGlZGaAN0Yc0aNYgHA3T2dek9s+F+tAmiwi2gM+0SAb3cD+CiNpWlZ5uAXspVd5VnZMGmUbNtgG7qUgCA3rJrhFybXuqFA/oGl4DOKrtkgM5tGBEBnR9oyWfSseouC9QJgI5pk5gtx2Bc9fJYbIWitEkEdLfa5DQwVQR0vsxdSZsq5HvQTW2qzMYB3T8krv7AVGj85HLfhhE+gy7RJjGDrrVJH61N3g4N6GEWnZ1BP3r7hRZAl5mg2kMzQlfivql7QIAuGiES0LE1awKgm/1qkkwFmZVGDARmYlTgXAXQRRMTCKCL5d3Y66b6+1BA5/v8MBNU6hLQK7OlgF53cHqbCXLYg24DdH8PuliFoE1QuB9tgqhwC+jFqTmmDvGAvoaYj8Ky6ez5BcnzTUB/7vw5OKCfefCsA3Rb+5UToHPaRAE6+zPWyoRloEOtTaqAzr9eJUCXaKrj5bEbQMe06fk4a4k7GxLHStyrFgd2eUxsGOHb7aoWJtq+F1qbwv1obfJaaEAPs2hvQC/lMhelHKCX+Qfx/PuWS6D28EwlExRyQBf7/BRK3N0COmaEeBNk6fUTprhTxsKNCcKm6GLmiPo4quXtIkhj5ocd8fXZTBBnhNC1OVgGnZqUiwF6KKa4MxP0fJxpgpz2oDNA579H2gSF+9EmiAoVQGeQHSigs9kpPKCXpWfDuhGZcPyu0c6AfmyWa0BHh8SFANAdtQkBdPb+ZKnsErQJm4/iBtBlfeRutIkCdKfLY7faJL2w5vQJ3Waiqk2rY31ZdOzyWCGDTmqTWOJOATrzJVwGXbxI19oU7kdrk9dCA3qYRXsDOpvu7hrQTy88OwFdMEHsYDvQSUDn1sCgE9GR7DN545+dgQ6FUwb07AybmaF6z2UmiM88YK+RMkG2z+l2lU15dNsUdwTQmz4cZ66yIQG9arE5JM40QS4Anf2sxZ+rNkH6aBNER0cAOjsM0Jk2rR02D/4141Ic0HltkgH6nvHBATpbs9aOgG4ZFsYBOnufpQCdBzlZebjsAhnTJpUMujjJXeXyWLwYtWgTdyHMa6MToIv97uz7pDTFfXWs0uUxNiTOdnl8bFZbBp3XJq4H3aZN/p+/qU3CZcuG8+6BLhG9PPD+qI/WJh0sNKB3UOzatQtuuOEGGDhwIBiGAa+++qrlv584cQLuvvtuGDhwIMTGxsKUKVPgn//8p+U5TU1NkJeXB+eeey50794dfvKTn8DRo0ddvY5QArrMBGGA/tz5c+DQzRNoQK/MRgHd1SAeZoK29KUBHTNBTykAOpuUi5kgSRZdBHT+5p0HdNF0iIBOgS5vMHgTpFJeSJW5owZIsl5NNE22KbhIKSHV6ydm0Fl5e0CAjkxxVwF0MoNOmKDGgt4koLPvycEbJ0J05FAPCLE+2gS1hde0KRSArnJ5XJDsGyhXnpEFa4fNg/3Tr4Dqymy5NikCesBr1jaoT3FHtUlS4i67POYviylAJ/u3hUtYHtApbaIujjFtEqery7QJW6+GArrDLBdUm/yfW3Z5XLs4waJN5pA4P6Cjl8d+bTIvjw9ON4fE2UrcOW2yDIljA0yRy2NUm7gp7mfyUuHOPnq7iD7e06ZwDw3oHRRvvvkmLFmyBF5++WUQTdD3338Pl156Kfz4xz+Gjz76CP7xj3/AvHnzIDExEerq6sznZWdnw+DBg2H79u3w8ccfw9VXXw1jxoyB//znP8qvww2g80N0mAkKBtB/d949sH/6FVB7aAZU1ywNG0DHds2KsC4aCRuguzBBGHyrZizcmCAK0C2ZFSGTLoV1oswdBXSqz89hzZrSkDjRBIkl7hygszVrvAniS9y1CdLH6ybIa9rUHoBe6gfx8owssxVLBPTPpl7tm6DdXoDOprjz2oQBuuIe9JABuv+9ij98H7qpQ9RsEQdt+iZzhKsMurh6LRSATmX92ddEAboI62IPugzQLRl0sf1qU3erNvlL3LHLY1uJ+7FZ9stjfsOIoE1U+5XWJn28rk3hHhrQOyFEE3TgwAEwDAM+++wz87H//Oc/EB8fD+vXrwcAgKqqKoiMjIQXXnjBfM5XX30FXbp0gbffflv5c7sF9OIAAJ3BOVtlIwJ63Rc3+iCovQGdlRJigP5MVOCATu1Bdwno/LA4DNDdZCmYCZKV7MlgXcwYhATQhbU44ut2BehiGaG/hNBmgnhAF00QB+i1h2Y47pplJsgcEkeYIHKKu5BB1yZIH6+bIC9okxtA57VJBHSmO6qA/sl110DTh+Pkl8ehAnSmTe0I6KYuCdqErQAVK7tMbVIBdC4LjV0M84BOZc/F5/OALtMmU58kbWJoZZdQti4DdF6flLUJA3Tx8ljIoPOAXnN8Nq1N/hJ3y+WxoE3NZTFm24Os/UoDuj5nizaFY2hA74QQTdCnn34KhmHAF198YXleQkIC3H333QAAsGPHDjAMA86cOWN5zujRo2HZsmXKn7s9AL0UAXRmjkRA/3zaVdC4b6I5QTtoQN81InBAX+8A6G6yFBSgc5kKEtCFye02QBcAl8qO8yYIK3PHsu7mvxOy3lSfn5IJUgB0tMxdqB5wDejiHnQe0Ik1azW1+VDfVC4dEmeb4u6wB53PSmlA1+dsMkFe0CY3gF6Wnm3TpmAAvXVbotmHHgygo1Pc+T3obrQphIAu6pKKNvE6hGqTAOgYcIt/x6q4MG2yAboLbbK1XRGVXdjlMXaRzH/tAWXQHS6PbXvQMUA/vdCSQUcvjx20SQO6PmejNoVjaEDvhBBNUEtLCyQlJcGtt94KZ86cgebmZnjyySfBMAy47rrrAADgD3/4A0RFRdk+1uTJk2HevHnk52pqaoLq6mrzHD16FEIF6KyMsCQtRxnQP50yCVp2pEHt4Zk+8yMxQWcLoJPrbJBSQn6VjStAJ0wQb2owQKeGwtkeR9bJYD3x/EAeRyOkaIL459tMkEKfn1KJOzHF3TWgsyFxnAnChsSJBlebIH3OBhPkBW0KBtCXKwJ6mQTQ6/dP9u2c7mhA54eXBgHolu0i1ApQccuIX5soQA9Em9hxAnTZ5bEF0IlVaaI2hRLQscvjoAC9gmi/Ekrca47PhprafOmQuKa9E8jLY7YHnRpgqrVJn7NNm8IxNKB3QmCDeP73f/8XxowZA4ZhQNeuXWHKlCkwbdo0mDZtGgDQJujaa6+FrKws8nM9/vjjYBiG7XQUoIu10bmsAAAgAElEQVQ96CagH5rhMz6hBnSsjNBllsJtibsU0BETZJvmLtz+UyaIGhYnZtVVTZANkjlAdzJBFKSLxsdyHIbDBQ3oYgadGBLHr7IhTVAQgM5K3LUJ0udsM0Fe0CY3gM5aqTBA57UJA/TC5Fwo8//7p4ffawJ6094JvqntAQB68+4xaoCOzUcJMaCTa9ZcalOwgO5Gm9DHhQtc8SJZpk0qF8dY+5hNF4XsvYo2odVdFUKJO1uzJsmgN7RUoO1XZok7W7PGaRMD9MbCXubvgahN/M9Ra5M+XtemcAwN6J0QmAliUVVVBd988w0AAFxyySWQm5sLAIGXEapm0JcnzYdSv1HpCEBv/ORyXxb9ZJ47QBf7/Dob0AkjxBsgmQnC+rp5QKYAXVYWSJUQUn1/rHzPFaAjU35DAeg8pKOTchcn0FPcMUCXmCCWQccAna1ZQ4fEcSZItgddA7o+Z5sJ8oI2hQrQi1NzoDhVDdA3jpzbBuh7xptzUjwB6GsEQC+lAd3UJCdAF9asidrET3LHoFxFmzDNoQbAYZlzqsJKFdDdaBOaNZcAuuoUd4s2YWvWXomH1tcTUG2SzUdBM+hsgKnWJn1+gNoUjqEBvRNCZoJY/POf/4QuXbrAtm3bAKBtEM+LL75oPuf48eMhGxKXnzTfzCRggF4eYkBv2jPet++zMrvjAX2jfJVNKAHd0QQha8uYIUBL8/xHZm5kgF45d6StP10EdKzUXdUEiR9HfP2oCSJKCdnHdwJ0c5WNC0AXh8RRgG5bsyZk0PlVNg3L47UJ0sfheNsEeUGbREDPT5IDeqkE0ItScklAX5FCA3rjvom+9wcFQG/85PLAAZ0fEtcOgM5rEzYXhdclSptsgI5ok3hZjA0tVdGmyrkj6eoupNoqJIAeKm1CVoBatKk8ui2DvjHark0fjEIBXcygV5/ItA6Jk2TQqfYrfj7K8btGw3Xdczzw3qiP1iYdfGhA76Cora2Fffv2wb59+8AwDCgtLYV9+/bBl19+CQAAL730EuzcuRP+9a9/wZYtWyApKQlmzJhh+RjZ2dkwZMgQePfdd+Hjjz+GSZMmhWzNWn7SfCj3GyIR0MUsBQ/oLEvBBu9ggM4gXgT0hs8n+bLoldm+TDoB6PX7J7cPoD8TOkBHjVA7AzoP2iEDdMkgHlVA51839fqpxywlhIIJYhkK0wTl97GaIGpSLpVB9w8qDAbQWRkhBuh8dYQGdH28aoK8pk0YoK8dNk8J0NlzKUAX56OUcoD+2dSrTW1q2jsB6g9MtQB6zfHZ6OUxBugBr1nbKAB6hTtAJ3XJr0220nZEm3hdUgV0HnL5LDmvTVj2nH8OBehn8lJRjQhUm9wAuvg6nC6PyT3o4po1DNB3j4GGzycpA7qpTQzQHYbE1S5OaAN07nuzecxdHnhf1Kfzj/e0KdxDA3oHxc6dOwHrt2OTcMvLy2HIkCEQGRkJiYmJ8Nhjj0Fzc7PlYzQ2NkJeXh7Ex8dDbGws3HDDDXDkyBFXr6OjAX1FSq7530VAb9o7wTeQ5/jsswbQWba0vQAdK+HDSgmxSe0yQGcHA3SqlFA0QOx18q9XBdKx1++UoXAEdP8Udymg8yaIGBKnAui2QTwIoKNr1vyv/5vMEXBe3C0QHTnUAyKsjzZB1vCaNrkFdFGbeA1jh9KmwmQfpJuAvmuEqU2N+yZatKnDAJ2v7goA0NH5KO0J6ALkioDOZ9WdtEkEdGpYGwbnmDZRgE69dhLQHS6PbYCOaZMToPMZdIfLYwugS4bEiYAuatPcvvfBud3He+B9UZ/OP97TpnAPDehhFl4D9IbPJ0HtoRk+IxQooO/MwAEd6/Pj+9ADKHF3BejsxpoyQQEAOjapnerhow7276hJ7paec+T1YhUAKKA7wXl7A7rLDLp0zRoyiKexoHfbz95vflkZ4cl7h8MVsfM8IMD6dP7RJoiK9gJ09t8xbcpPmg/FqTkkoNfvn+x7n/ASoAeyYYQHdIcSd0dAd9AmGaDL9IjKvGOD4sRhbdjgUuXLY4km8ZfXyoDO7UFHtWl96C6PbYCODYnL72O5nOFL3ItTc+Cy2LkeeF/Up/OP1iavhQb0MIv2AnT23zATVJA8H1al5sD6EZk2QG/cN9Fa6t4RGXQXgN60Mq79AF0yDZ0yErJVaaqAjv07iwkiBuJgA+0oQJdlKcheP8IEmQaS70H3myDpmjUnExRIibtggppXx0JTUQ8U0KsfGGp+LbqMUB/f0SaIChmgV7gE9HJOm5gmUYC+IiWXBPTGTy6H2iM/MwG99sjPpNrkCOhb+roDdKwHvUy4OA4E0HltUmy9CkabRDjn/y4re3fSJhPQ20mbxD54px50HtAtl8erY9sy6CKgc2vWpNpUm2+7PEYz6BXWIXFMm3hAZ9qkS9z1aTtam7wWGtDDLNoL0JkhYkN3RBMkBXRutYiYpag7ON1qgog1a2iWggd00Qi5AXTOBLVHBl1mgrAeP/F/KUDnMxMyQLets8GG4hCvVywrNHvomQkS+s3J0kXEBLGPjQ6J4zLoJqCvjoWWNb6fqa0H3SWg1xyfDXVf3AiNn1yO96BXOAA6l6XQgK5P29EmiAoZoJelZ0sBvcwB0KnLY5ZBf+78OSSgN/z9SlObQgLosinuDgNMOxLQxff5YLQJA3T+OOlToNokHkqbbJfVEm3iIV15SBwP6Jg28XvQ2fBcboo7Ceg7M+yXxwSgi9qkL4/1sR6tTV4LDehhFsEAOpvWHiigbxw5F/42+Vpo2Z6CmqDawzOh5tisDgd0S6ZCBujMCLkEdCaKGKCr9MtRvXEqgK5igFRKzvnVaoGaICmgU+X1yCobC6AX9rJl0G2AvqWvBdAbP7ncBuimCXIB6OIUd2xSLvt+aROkj+9oE0RFMIAuy6CXpWfDqlQa0Fc5ADp7v2g3QBcnuYtT3J+KQnvQOwrQSW0Sss7Y/1Il7aqA7qRNZoUXki130iYR/N0AOvu8JKCLl8eYNj0fZ7s8NgH9RCZUVy2G2obitjVrIqDz2rS5ty2Dzqa484DOKru0NuljP1qbvBYa0MMsggH0Vak5sCIlF5ZLAL2UAPSSNJ8J2jtpirnKRgT0ui9u9JkfzgTZAJ0ocTdN0NZBzoAuZClCAeg8nFOAzsScAnR+JZcI6FTpHW8qAgF0yohQJX0qRggFdCFToQzoTibIJaA3fTiuDdAlu2arT2TigM5lKTBAr3+sHzrFXZsgfXxHmyAqggH0kjSfllGAzobBiRtGGKCb81EIQGdtWEyb2Jo1CtD5NWsdAuiYNsnWrAmAzuBcFdBl7+duAV3WgmX5mLIWLJeAbl58qwC6ijb5Z6RIAV3MoD8f16ZNfAYduTwW96BL268wQCe06UxeKqxK1SvW9OkKWpu8FxrQwyzaE9ALk3NhRUrbWjUM0P/v+ivJDDpbMVJ7eGbnAHqFUEYYIKCLJogHdIsJQgAdM0IUoItleSKsUyXu4r+xmSAiW+AW0PnBPo496MilgGoZYcAZdArQqxYrmSAe0NmkXMwEVd2fpAFdH//RJoiKYAB9VWoOFCTPlwI6+zMF6HuumiYF9PoDU01tCgjQmTaJe9DPQkDHMujsyOaiiBPdXQM6ok+UNmFT3kOtTVULE1FAr1/WVw7oG6OtgM60ad9EOoMuVnfx2iRk0FW16cSc8yEiItYD74v6dP7R2uS10IAeZtGegF6QPN+y91wE9A3n3QPHf36BL5NJAHr9gak+SD80o30BnTNBYq+fqgnijZBogvhVazJA51eXYcPiKECn+sidAF00Tk5rbEIC6MjFgmiOsAyFaYSYCRIA3WaCyiSAzk1xpwDdLHGnAJ2ZIG7NmmiCsD3o32SOgIFxV3hAgPXp/KNNEBVOgM7AGwP04tQcWJ4kB/QlQ/PMUngM0D+88npUmxigN3w+CeoOTpcCOtOmkAK62IMeYkDndSmQ9itKmyjoVpmPIgN0mTaJPfOoNhFl81QlAAXo7HtDaRM2xR0tceeGxFm0iQL0Y7NobaIA3d/eILZfaUDXp+1obfJaaEAPs5ABell6NqwdNs80NxigM1NDAXpB8nwoSsklAb1y7kiz1BgF9P2TTUh3MkEdAehsCBgJ6IQJMkvd2TobCaA7ripDzAQzN1gPumiCMEh3DeiS1yoaImVAl3xezARZ1qxhGfQyYYo7P4iHMkECoNc2FMsz6KwHnQB0zARVzh2pTZA+/qNNEBXBAvqSoXmwLDGPBPRHhiyAFZw2oYAuqe7iId3rgC7TJvMCmds24XR5jAE6n0XHtEm8EGZ6JQK6cgsWAuinc9OUAN2mTS4BPWhtwkrcMW3aN1G5uqtp7wSfNm0d5Pt9kmkTy55rbdKHPFqbvBYa0MMsnACdDdLBAL04NQeWJeZBQfJ8WOM3UCKgLxmaZ07GxQD9xJzzoWV7CjS/P9LXD4wAOvvfuoPTaRO0e4wzoCv2+QUL6PwQHhugc8CmugddFdAxA6QK6LJ+OydApzLnKKCrQjqXnaDKCG170FUBnWXQBUCvOT4bn+IeYkD/JnOENkH6+I82QVR0BKAvS8yTAnrrtkRo/mCUFNAZpDteHlOALq5Z47Vpgzqgi9rED4lT0iZueKkM0Ck457WJfz8XL495EMcAvXLuSHLVWjDaJAK62TvvoEsn7x2upE18dVdAl8eSDHrN8dlQXbVYvQedz6CraJP/+6W1SZ+2o7XJa6EBPcwiGEAvSsmFpUPlgM5MUFFKLgnordsSzXLjpr0TUEDns+kBA7piBt3s8+sAQKcy6G5NENZ7LmYlggV0PmNBXSaIFwrsz/yuWap/3pIZET432YNOrFlrXh3rDOjCmjUG6PVN5fSaNWrXrKzE3f8z14Cuj/1oE0QFD+hl6dk2QC/PyJIC+tKhebCcWLPGAP3RIQss0M60yQR0v4Zgl8fm4dqxggZ0XpvYbJRAAF2Y4u4W0Clt4kvDnbQJG1wqAjqDcRHQqRkpgWgTpaPivxO1SVUXyR502eVxaeCXxxSg2zLoiDY1FvbCtcn//dIZdH3ajtYmr4UG9DCLjgD0pUOdAb31rSFmtgIF9L9faX2MAnSZCQo1oAdighBANw1QAICOGQqVskEpoAtDc0QzwzIFFKBTRsg1oGdnSAG9+oGh1jVrnAmyAfqGaCmg1x6aAdUnMqGmNh8FdHOK+76J0Pz+yKAAXZsgfdqONkFUOAE60ycZoK9IybUA+ioE0Fek+Ca6M0AvTc+2Avpr/aF1W6IU0PnHGz+53B2gU1PcKUAnhsSZ2vRkz5ABuqhNGKBb/uxCmzBAP3nvcGdAd9ImocTdLaBjrxvTJtkAU5k2WTLoFdyQOIXLY1bdhW4YYdokAjoxJA4DdN2Drk/b0drktdCAHmYRCkAvTM6VAvqjQxbIAZ3bV96yMwOa9k4gAd00QsEC+gs9lQG9pTw6dCaIAnRurzg1vd1iKiQ9c2IPOgXoWF8gA3TRvPB/l+1ADwTQ0SE8HKCLPX7oKhu/CWrI7+P7+YhZCheAbitxDwDQ+T3o4pA4Dej6tB1tgqgIBaAXKQA6W7nGA/oGrsS99bX+Pn3YligFdPbfOgTQZZfHTJcUtck8FKAj2kRlr8V1a2KFl3hBjAG6kzbxF8gyQFfRJUybpBfIvH65BPSG/D44oG+IbpvizkrcEW1SyaBT2tRcFqM0wFQDuj5tR2uT10IDephFKAC9KCXXLDcMGNBf6+8Tqhd6QsvODCmgm8dDgG5bsSYzQaEAdIeeOSxb4QTophFBAJ03RnwGXTZxHstUYGDuBOgWE7QwMTBAVyhxdwR0f5+faYK29HUF6KxkVJe469N2tAmiQgXQmQ7JAJ0fdLoK0aYVfm3iAX3jyLm+NWvbU3z6sd6nBfzlsQ3Q9020nI4AdEqbeEB3pU2hAHRCm6g5KRSgi33rFKDzGXVRj5Qq0hxWq1HD4qjqLqZPNm1aHu/zDUU9oHl1rG9InEMGHRtgKmbQ0RJ3heou/meutUkf+9Ha5LXQgB5mEUpAZ8/DAF00QSigr/MbkS19oWnPeBrQmQHaOyG0gP5MaABdtspGNEI2E8SBLwXoVCYdG2ojTmmnAN1iPoShbqomSAbpqHGTGCP+ooAEdH8Peu3iBHMQj5mlKOpBT8qVADo6JM4J0LkhcU0r48gshTZB+tiPNkFUOAF6SZpPa5xK3Mu4x1b5+83zk9wDeu3iBGhaGWdZs4YBetPeCVZtcjPFXbUHPQSAjumSVJskl8fYRa4M0Jk2YS1XIqCT2uQS0KXahF0UKwA6+5wUoDtqU4X/ZxtEiXvN8dlQf2Cq9PK4uSzGpk0a0PWRH61NXgsN6GEWXgN0lmFu2ZFmzVQIgG4aoFAB+oZo9SwFW2fjBOhcn5djFt0B0J360amhNq4AHctwE4Aulp1jRojPuKOl+UQ5pNhjKJogyx50AdCVB/G8NaRdAJ0sI2Q96AsTtQnShzvaBFHhBOir/HDuBOglab7Hgwb0RQOhcu5IaH0+zqZNFkBnutTBgI7pkuzyuKMBHavuwkrfUUDHys8RbcJaorBWLPZv+D+LFwGWqjLkvztqkwDojQW9fXvQxcvj9ciaNZfaVH9galsGHdEmBuj8kDjeizBtemXsnWAYUR54X9Sn84/WJq+FBvQwCxVALyXKCHlAL/VnNIpScpUAfVUqDug1Dw2CY3eMg4b8PtCyM6MtW0EB+ofj1AGdN0EBAnrTyjglQGdGiO9BdyxzdwB0MastA3RxuI6sH10EdLHnzgnQKSPE96yjO2e5z2cDd8H0ydasoSYoRIDO9qCjgM7KCIUMum1SrgZ0fcijTRAVoQJ0pkmhAPR//X/2zj065yvf/+WciajLoDioWxJBJUJEhSCRFAlBNDQucRcSEWWcmg6jRsaKRlWGY+nU0TqqPXoZo9XWaGvIQi31U6MMNeo6LinVaO7XOX3//vg++5v93c/e38tzSb7ts/danzWahHzJM8/7/dqfW/JgfDs7FNUnQo0BnehSfQK6Q5v0AL1ibRthiTu3zN0A0J3AXAfQ2dWfprWJmbFiFtBF6z8NL49534/RJvrPcEmb6OouOoNOtOlEqOuXx5wedCGgkx70ZV0xpOk8G7wnyrBHSG2y25GA7mPHCNAJdK83APQNlFlyF9CvThyiZCr2tkLVqfC6Ce4CQCcmyI6AToyQaUA3MkGsSRCYIHZKuyhzzlshIzJBbLm5HqTTz+0E6AyYi1bYsKCuZup5JsjqKhsrGXRPADr1sz4aNRGNHmliAwGW0fAhTZDoeBLQSXgC0E9Gj8PNlIGoPBtlHdAPBdQLoDtpE6VLBNCdIF0E6JQuse/vPEg20ibRnnN3AN1Im4g+sWs/WWBnL6n1Lo9pbTID6BXZrcWXxwTQ97URA3rRSpRWbOCuACUl7k496DoZdF77lQR0GXUhtcluRwK6jx0zgL7eBKDTYbbE/TUdQP9q1EgF0g90qhvMU5+AbtEE8YwQF9CJCdIBdMNeOZ1BPCITxBsY5wqgGxkg2gSJshbk2eleedOATnrQqRJCIaDr7UF3o8TdaQ86U+JuBOjSBMmoC2mCRMcMoIu0iQX0nO5aQF+rA+ibghZpAf2Dtqj5Yx2gnxg+HmdHjkbNVj+nye31BuhbXQd0okuuADqrTU6ALmiVIppyf14flwHdijbxtEpXmxhd1dMmXmi0SXB5rOlBZ7WJl0H3hDYxa9ZUbSI/e6lNMoQhtcluRwK6jx1PAvp6B5xvCjI3Kfe1J+bj29mhXEA/MXw8zo1+CpU5LVH7UQc1k+4xQGf3oPMA3awJMjBCLKDTcC4CdPp23wjQ2SnseoDOC26PHQeWRaaHDfr5i5Z205bjczLoZowQDehsj5+wB50H6O+1dM8EnRtmHtClCZJhGNIEiQ4P0Lf3TnMZ0NebBHRS3cUCesmKTiqgn4oZixuTB6F2VxPNVhF6erstAJ2jTXqALtQmg+0iIkBn+855gO4NbdJktQXa5FTebgbQDbRJb4CpUJvYIXGsNl1JVDPoZM1aedUWlJRm8zPorDZt42TQHTMIyM9bZtBlOIfUJrsdCeg+djwJ6PTnzWTQ94TORsGMMCGgn4oZi2vJg1GzpQlqP+2KqtMDxRPcbQbo7DobLqBT4qgH6KJbe5EJ4mUj2J4/9nNCE0QZIbOATqBcBOiinj+9PnT1z+MAetmq9i4DOrn48SSg601xl31+MrQhTZDoeBrQyeWxCNDXdV+sAvpboXNwdeIQDaAXLe2mAfQrSVEozAxC7UcdzAM6rU0fdfAaoKu65GFA1+09F1we09rEW6smGhSnp01sFp2FbhGg09okBHQjbRLoohlAV0vcRYBuYkicCui8DHp+sDlt4gC61CYZ2pDaZLcjAd3HjqcBfSP1eaMe9D+FzcS9uSF1fX4CQC9a2g21u5ooQHUmsmEAfbO/eFouY4JoA+QxQM8IdjZFAhPEy0jwAN3IBNFGRFQaKAJ0eniOIaDzDBEH0Mn3Mw3ovDVreoB+P8O4B50F9D3NnE1QbnPnPeiOn7U0QTK0IU2Q6LgD6ESb1jPatCU4HVuC0zWAnssB9L39ZqAwM0gD6D8sCcCVpCgNoH+f3hMV2a1Re6CT5wF9t785QOdokwjQedrEBfQVndSsqiGge0ibRIDOW3FGA7or2sTTVy6g68E6R5u4Je5mhsTRU9ypDHrluWGmMui6l8eODDoBdCdtkoAugxtSm+x2JKD72LEC6KSE3QygbwhcZAjo+/qnonZPM5RfTlBAWgDohRnBKF/TVoH0w0HOa2xsDOgEzkWATkwQbYS4vdtumCC9XnS2PJ5bds6YIPoSwZIJogyNUT89/TmuCTJT4q63B90A0DVZCgLoV5PMATplgspXt5OALkMnpAkSHbOAntPdGdDXCwCd7EQ3AvR9/VNRmdMS1Sf7GQJ62ar2apWXxwF9lz6gV2/2dxnQdYeXsoAu2C7ijjbxes5FgC4Cdacsthltop6X/TsYAbpm44knAZ0zJM5JmxxD4oSAzpa4C7SJt2FEapMM55DaZLcjAd3HjhVAJ0N29ACd7JxdH5BpCOjvh6eidm8rlN5MQdWZSNS+9aguoNdsaYLatx5VxcujgP66QygbGtA5g+J4JkjNSHN60I0AnS415AI6Y1Bo0BaZILb0XQ/QnYDchAlSS+pN9qBXv9xUKSP0NKAbmKCql5qpJohMS5YmSIY4pAkSHXcy6CJAJ2EG0Kvz/FFyZ6byXiEA9MKMYJStao+ql5op2pEf7B1A52kTrUu0Nr3YwlCbnHTJJKDzprh7AtBpLdIFdI42GQG6SJvYZzbTesVqE10pJhwSt7qdMiiOneKul0E/HKTNoDPaVFa5SQV0K9pEDzCltUlm0GU4h9Qmux0J6D52vAHom4IWIbvbYuR0z8QqI0D/oC2KC5eh9NY01H7aFeVr2goBvfrlpqjd7ofafW3UEjBDQCcmyNuA7hA+PUAnZsgsoOuZIB6gF2YEcwft8ACd/W+uCeJkCURlhKLJ854wQZp+QnqNjRlA36r8TEVlhG4Duk6fnwbQ5SAeGdyQJkh0rAA6W921PiATa7o6V3dtCFyEXz++xDSgFxetROnNFNS+rgX00yPGqNpEAL1mm5IJrTkUoAX0432sA/pufydt4m4X8RCg62mTu4Au0iYRoLP/bRbQ2d5yvZWlvB56+u/DzdbrADp3gKlDn7jaJFoBymhT5blhTmvWWEA3m0EXArrUJhnckNpktyMB3ceONwCdmKDcAJOAXrQSxYXLUH5pFGpf99MFdGKCaj9oq9wynwg1BvSPOiiAToyQHQCdBCWORqWE3gB0+ver/eg6gM5CuhlAp02VxwH9+Y7cHnQrgK6aIA8DujRBMoxDmiDRMQvoZLWnFUDP6Z5pGtCLS15AzdHeKFrW1RjQdyqlyjWHAhRdYgGdnuJOXx7va2Md0EmJOw3oDl0y0iZdQHeEGUDX6BGnh5uecaKnTXqArhlmagDoPH0yBHSONrFQzr0oMKFNRpfHGkDf04zfg87RprLKTao2lRTMcdamva3q1qxJbZLhUkhtstuRgO5jx9uA/kKXLPzWUWqoC+glL6DkzkxUnwhFRXZrY0B/pwVq97dHzaEA1Bzt7VlA31a/gK43KI42EqQ8z2yWQjSQhwfonjBBhuvhjIbuCABdM41XBOjMHnSXAF00KZcB9OrjfbRZCtYE5TbX9PnJVTYyxCFNkOhYBfSNFgB9Y+Ai/LZLlilALynNRvGDLNS+9ah6eUwDevnqdlpA39NM0ZmDnet0yQyg09pEAH2nPqCrU9xNADpvs4geoDtdHptdtcYBdFaLRNtE6I9ztYlpjdLTJvbXRoDO0yZaW10BdKMNIxpt0gN0ZkicCugkg84DdKJN2ziA7ngNsFV8Uptk1IXUJrsdCeg+dswCei5lhMwA+m86L1F/79puiw0BnZRrlV1NQu2+Nvg+vSfOjhytD+h7WykG59OuivkRlRHWI6CrJohjhEwDusMMCQFdp3/bCqAbmSBiRKwAOs8QmTFBdObCDKCTfz/TJmhnE24PuikTxAyJEwL6Vj/uIB4J6DLEIU2Q6FgB9I0WAT3PAeQ8QN8UxAH0h8+h5M5MlK7s4AzotDYRQH+vZR1sHe3tDOgHOnkO0DdbBHTO+k93L49Fs0VouLUK6NwMOnOJawXQXdYmTiZdpE2aNWuuAPoHbdU1a4Yl7nQGnS1xpzPo2/S1iejSqZixeOzRgTZ4T5Rhj5DaZLcjAd3HjhVA3xC4CLkBmeouWTOAnuswSjndzQF6ScEcVFyMQ+0BZVjcjcmD9AF9XxvF5DgGq5gCdFJKWE+ATgyQVUBne/2EgO74mNH6GnZQjykTpNODLgJ0etcsr9fPXUB3yQSxgE6ZIM2uWQGg01kKK4BevrqdBtAfLOiFAU1n2kB8ZdgjpAkSHW9m0PMc2ra222IuoL8f7gzoxffSUHExDteQD2oAACAASURBVMXLu+DL2ARzgP5BW9R+1KFOm8wAOq1NXgZ0dUAcPSTOBW0SATqBdJE2sVPcycfvz+tjCdCJTog0Si+bzsv8s9qkgXNGm+gMuscAnR4Sx6nuMqVNNKALStxpbcrrkWGD90MZ9gmpTXY7EtCZU1NTg1u3buEf//gHCgsLG/pxPH68CejEBK3pmqX+eUaAXnw/o26q+wdtUbqyAx5mBeoD+gdtFaNzoJNifkiYBfSdTeqMkBVAZ9bZmDVBGiOkY4J4vd1GJoi3tkYE6LQJ0pgPE4DOrq4RGSKjTAs7/IfXf85+X9MmKM88oJdeT3bNBAn2oDutspEmSAY3XDdBvqJN3uhBpwF9PQfQ94dPR+3rfk6AXnprGsovjULx8i64PXUACjODnLWJBfT97esuka0A+q4mlgC96qVmli6PdXXJBKCzU9Hd0SZao75L661qE6tb7CWuCNBFuiQEdANtEgG6R7RJkEGnAb2kYA4/g84MiTPUJp3qLqlNMrQhAd1uRwI6gNLSUrz66quIiYlB06ZN0bhxYzW6du2KtLQ0/L//9/8a+jE9crwN6Hk9MrCmaxbWdbcA6LemofxygrKDdk8ztcfYEND3t1dMz4FOiki5Cuhmh8RZBXSqN80VQOdmoF00QTxA55X16QI69ZxmzBBvUq4oM2II6NSaNU8AustZCt6atdzm6h50etesNEEynMOaCfJFbTIL6OsDMi0D+gtd6i6PnQD9ow58QL+coLxvrG1j/vKY1iey/tMKoO8wAHSiSzxtckxxtwToDl0yA+iuaJNIp0SA7lRinhHsVUAXfW/270brE28PupE2cYfEUYBuqE1MD7refBRWm+hqPqlNMpxDArrdjs8Del5eHh577DFEREQgOzsbBw8exPnz53HlyhWcOnUKr7/+OubMmYNf/vKXiI+PxzfffNPQj+zWsQrotAkyC+gvdLEO6GVXElF5bpjSU7XbX70BNmWCaDPkZUCverEFKte1cl5lYwbQeRPczQA6J6wAOvk6dpUNF9AZQ8KusDHKorsL6MIsBZWh0JignJaWAJ2YILcy6JwhcbQJkoAuQxzmTZCvahMN6K/2WiAE9JzuHgb0A524gE60qfpkP9Tu8EPlulbWtYnoE2+KuwDQdbVJBOhEl1wAdD1t0gV0E9rE0yl6ojvbmy4CdFqfzAC6cIgpZ/CqENCpv6dZQC9f01YM6LQ2EUBnStxLCuboA7oog84COpVBl9okQz8koNvt+DygT548GefPnzf8uqqqKmzbtg07duyoh6fy3rEK6DndM7ElOB1bgtMtATr583IDMrGuu3lArzoVrgjObn81e2DaBNEfNwvoO9wHdHadjRGg88DcDKA/zAp0MhRmwVyv/J1rgByGhO4vtwLovAyL7uUAB9C5u2bZLAUH0J12zQoAnTVBrkxxZ00QnUEvea6zNEEymDBvgnxVm2hAp7WJB+ibdQCd3jDCA3RyeWwW0KtOhSvzTnYp+mBZm8jneGvWXAV0okscQGcvj80AukibjACdp01mAN2MNlkBdN6z6g6KcwHQnXrQzVZ3bWliqE1WAL3qTCS/B53VJsfrQFZ3ydAPCeh2Oz4P6L526hvQyZ9hBdBrDgcpguMoJSa7Zk2bIBKuAPqWJvUO6LxBN1YAnZQJWgF01gzVB6CzkM7r8WNNENvjp5ogsmbNIqDTPeguAzpT4l6Z05JrgiSgy3AOaYJExxVA3xKcbgrQNzOAviU4HRsDF2FddxcA/YO2qN3l0CargE50yRVA19MlE4DO0yY9QBcNYTML6LQ2WQF0XjbdVUAXapOBJnF1kaNNBNBLVnQyB+jbjC+PjQBdqE0cQFe1ifz8pTbJEIbUJrsdnwf02tpavPnmm8jLy8Mnn3yCH3/8saEfyavHHUDfELjIEqBvCU5XJ7uTVTamAX1/eyWL/kcHcL31KH8Qj5EJEk3K1QF01QQ1AKDrlbabAXQ2e2Ea0NlyRQMTRBsh+r81Ze0mAJ1XVi8CdGKCSAlhRXZrLaBvNg/oRj3oRoBeu12aIBmuhHkT5KvaZBXQtwSnCwE9NyBTCOhEuywDOtEmUuFF9qBb0Sb64thFQOfOR/EioHO1ySSgW9EmJ0DnTV3PrNtyogfoQm0yAeii+SyGgE4uj3kl7hYBnTckrvhemjaDfqBTHaCb1CaZQZfhHBLQ7XZ8HtAnT56M9PR0/OEPf0BaWhr69euHy5cvN/Rjee24CuhbHRkHVwB9o8ME7eufitp9bawB+lY/VOa0RPVmx57Yva1cA3TWBNUjoBuVEYpMkFMfN6dnzowJMhogZwToPDg3DegGZohX5s4OpmMBXTVBZgD9vZaaPeg8QOftmrUC6GoZIW2C5KRcGdywVuLui9pkBdC3OrQpVwDo6wMysUIH0DcaAfrNFJRfThBqU0V2a1S96Lj8/TkBOrVazUmbHMPavKVNVgDdKIPOahOrS7xp8aIJ8nol7pop7i5eHlsCdFEGXQfQ1R50qU0yuCEB3W7H5wG9b9++mv8+c+YMYmJiGuZh6uG4C+iiMkIzgL4/fDpq33rUMqCXr2mLwswglKzohJotTRRj4wqgkx3orgA6s8bGbUCnpqLrATpdlseaBrMmiPf1TmbEJKCzpYOsMTICdBbWTQO6I0iZu96uWSdAJyuPzE7KFQH6B201Je7Vm/3rTFB2awnoMkyEeRPkq9pkFdC39VzoFqBvDHQd0MvXtFXfW6tfbqrojSuATmuTVUCntcniAFMnbWLez80COqsn7gA6+/tFgM4rvxfpk6gyTTQTxRKgE32iKrxMa5NBD7oeoDv1oIu0SQK6DFMhAd1ux+cBfciQIbh69armY6wx+jkdVwCdmKA8x2AdVwB9Y+AifDhgGmoOB6G45AXLgP59ek9cnTgEt6cOQNkq5XNO2QorgO7YNdsggG7GBJkAdN6gOLOA7mQ+mDJzK4BO/7cVQOfBunBInB6g5zYX9/kxGXSvAjozKVeWuMtwDvMmyFe1iQfopGdcpE2bgviXx2YB/cMB01D7aVetNpkE9AcLeuFKUhTOjhyNghlh5rTJW4DOaFNDAbpZbeJ9jWigqFVA52mTXgZddHlsFdDLVrVXfIGjuqLqpWbK1H+RNrlY4q7Xg867PJbaJEM/JKDb7fg8oJ8/fx6hoaFYsWIFdu7ciRUrViAxMbGhH8trxx1AJ1PZXQX0jyOmovpkP5RWbEBZ5SYFhEwCOjFB+UOexpHBySiY1ReVOS0Vc0NPxzUCdNKDbsYEmQF0YoRWt3PZBIkG8FgBdHoKLc8EmQF01oiwBkgP0NlpubyyR5cAXTAojgvoPBNEr7JxB9A/7aq8rhxlhJo1a462Bx6gb5YmSIYmzJsgX9UmVwCdlLm7A+g1h4NQWrFBA0I0oFef7Fc3JI5o0+p2qjYdGZyMff1TcSYuHuVr2uprkwlAJ/NX3AF0d7XJbPuVHqAbaZMRoLOQbCV7Tv8d9NquWI0SAbpehZfL2vRRB6E2mQZ0ok0UoFe/3FQCugwLIQHdbsfnAR1Q1tS88847+N3vfodXX30V5eXlDf1IXjvuADo9WMdlQD8RivKqLais3a5kKiwCOjFBRwYn45sJQ1GyopOy95qInUVA15gg2gg1MKDT/+sqoNPBlrabAXS9kkGRkdMDdCNIZ02QBtCpHnTVBGW3Njcp1wDQTZkgCegyPBLWTJAvapMrgE4qvFhtYgH9twaATrSpuOQFfUDfpWz7YAF9b78ZOBQ5GV+PjUHRsq6o2epXNzflJwTotB6xGWgnUBcAtRVtsgLorDaJhphaAXShFgq0iTcjxZPaVFIwB8VFK60B+m5/zRR3I22SgC5DGxLQ7XYkoPvYcQfQSRZ9Q+Ai9XOuAnr1v16vy6I7BKfi7zGmAf1w5CRcHDMC9+f1QenKDsoQObKOjcC5O4DOrrOxCuiUAXKa4m4R0PWmobsK6KIwZYKYIXfs11kGdMo4sZl7pww6MUFr2qr9llUvtlAMK93nt7OJZwGdzlJIQJfhckgTJDruAvpmk4C+rrs+oFf/63WUV21RAOnWNJcAXdWm5zuiKre5Uq1FtpC4AuiuaJMI0Fk4dxHQaW1yFdDvz+vD1Sbex0wDOkeb9NZ/6gI6o01shRdXm1a3U7WpMqdl/WqTBHQZLofUJrsdnwf0f/7zn5a+/s6dO156kvo5ngT09QHuAXpFzTZFdAqXKUbo0ijXAP35jqhc10q5pWb3prMmyAyg01l0alKuO4BOD2cRwa1pQNcpKbQC6HoD46wAOi+Lzuv1M8qas2X9PywJ0Pag86a4GwG6Tp+fBHQZ9R/mTZCvapO7gE5fHrsD6KUVG1D88DmUXk82BPRvJgzF4chJToBesqKT0ov8UjNlwKmeNpkEdCdtcgPQuStABSXuRoBO3stpXWEBndUlPUDnQjrnEtcKoIu0idUnEaCz2kT3oGv2oDu0yRKgnwjVahObQadmI5RfTkDl2SjUHO3ttGZNAroM10ICut2OzwN6+/btkZaWhlOnTgm/pqioCP/93/+NkJAQ/Nd//Vc9Pp3nj6cAfaOHAL20YoNSTng/A6U3U1B5bhhq8oNdAnR1Wuo2R3/5riaKaO1p5hFAZ6flugroJEQZaCuATpsJek0NDeauArrGjNClgyYBXWTgnIDdLKA/1xllq9rXmSC9SbmuAjplgoSDeKQJkuFymDdBvqpN7gL6Rk8CeskLygXy9WRUnR6oC+iHIidjb78ZGm2iAZ28P9XucLw/sdrkKqDT2sRbAWoB0FltchfQaa1h4dzo8tgI0HkzUlwB9AcLenEz6qw+iQCdQLoG0B1D4ipzWuqvWdPLoDsAvaxykzIbgaNNNUd7c7WJHhJXua6V0xR3qU0ynEMCut2OzwN6YWEh/vM//xOtW7dG+/btMXbsWKSlpSErKwupqakIDw+Hn58foqKi8Je//KWhH9ft4ylAJ1+3MdB9QNdMdL+erAjP4SDU7mnmGqBvVYa/1e5wiOHOJor5IeEKoNOZCtoEeQDQ2WwAbSSsAjrP+PD2nlsBdBrCNSaIY4AMM+hGGXVOj59qglZ0cgJ0zaRck6tsPAXoTiaIBfQVnWQGXQYT5k2Qr2qTu4BOtIn8769NAPrHEVNRkx8sBHRygVx1eqCSsdQB9CODkzXa5ATotDa97mdNm/QAndUlF9qvrGiT6P3dLKCz2iRasybSJnpWCW9GCvvMTs/NAjpHm1hQ12TsrQB6HqNNu5p4BNC5U9y3iae4k5+1rO6S4RwS0O12fB7QyamsrMSf//xnLFu2DBMnTkR8fDxSU1Px8ssv4+9//3tDP57HjqcBnZgcTwF6yZ2Z6vTsmkMBqN3tj4q1bfB9ek/XAZ1AOh2eBnR2lY2bgK4BXQ7EmgV08nmREWL770wDOmOC6AE6op55VwCd/vci/5Zqibs3AJ0tcT83jA/oRibI8azSBMnQhnUT5Gva5ElAz/UgoJfcmaleINce7IyabX66gP5dWm/Pa5NFQCe65ElA19Umhw6ZBXRWm0QZdZ42FWYGOfXM09rEAjnvmdn+djOALro85mmTJUC3UOIuzKCbAXRHbAxcZIP3Qxn2CQnodjsS0H3seBrQN/fIwMbARVjlQUDXTM493ge1e5USrTvTw3FsaJJHAV2zZs0DgE6XktHhjgliDYRZE2QF0Hml5qzpsQrorLni/ZrX7+cyoLMmyOQedEuATu1Bdypx5wD6luB0GwivDPuENEGi42lAz3OsBf1NZ3OAXn2ynylAL7+cgIq/x6D6RChqX/dDyYpOuDpxiHuA/rqfNkTa5AqgG1wee0SbqPdyrwA6lfGmn0FPm0SAzqsaY7XJSRtdBHSnKe5sibve5bERoIsuj3X2oBNtujF5EBo1amqD90MZ9gmpTXY7EtB97Hga0Mlqmxe6ZCHPYNesFUAvu5KIiotxShnXiVBFhLb74WFWIM7Hx3kG0F+vf0CnjZDeFHRXAV1kdCwBusMEOfWd66yxcRvQmYsB9fu7a4LqA9AdAwRZE/Tt7FD0f3SGDYRXhn1CmiDR8Qagb3RokxlArzoVbgnQK89GofpkP9Qe6ITql5vibmp/vB+e6h1A3+rZDDoPznna5ClAp+eh6JW4WwF0nh7paZNZQGd1k9eH7lTi3hCAbmY+Sm5z7uXxteTBNngvlGGvkNpktyMB3ceONwB9U9AirO22GBsdH/c0oFedCkf18T5KyfveVqjZ5ofSlR1we+oAfJ/e0/OAzltlIxrEYwLQaTinIZ0GdNr4uAPodLaCNT1sfx+3xM8ioPP6/Xhl7lYAXc8EqT3ozBR3Sxn0i3FcQC+v2sKd4q6WEX7Q1hKgSxMkwzmkCRIdbwA60SbycW8AevXxPurwuOrN/ijMDMLNlIF4sKCXVwC9ejOzB93LgM4LUasSD9CJBhFQFw2Ks3J5bAbQ2RkpvMF2Rhn0Bwt6cYeY8nrQDbVJBOiiy2MTe9A1Je4WqrukNslwDqlNdjsS0H3seBPQcx19f2u7LRaXEboD6IeD6laKOIb0EBNSr4DOm+LuAUDnDrPh9Wm7Ceh0ZoA1QQ+zAvkmyCKg80ycXtbCyASRNWu6JkivB91KBr1opSlAJ2WE9BT3slXt1Z+5NEEynEOaINHxJqDnOgaavuBNQCfatFuBMaIJ9QborC55CdDJ+7RTCbibgG6kTSygm82i03rEXh57QptMXR6z2mRhSJwpQKe1aRt/irvUJhn6IbXJbkcCuo+d+gD0dd2VX5PPeQXQ33oUtdv9UJ3nj4rs1qr5KF/dTtk5u807gC5aZ0P3+rkD6CK45Q1d8yigs4N0Mp33zeoZIjNDhLiZc6q/j/2+dIm7S4C+q4kpQC+r3KRb4m4E6PQUd2mCZOiHNEGiUx+ATn7/Zo42eRLQaW0qXdkBJc91VrQptzlfm9wBdIcu8bLooh50twFdZ5gaD9BFe9CtADq5PKb/m9Ym0YwUq4DOfpyd/C7SJnWKu7uAfiXRtSFxAkAnrwOpTTL0Q2qT3Y4EdOocPHiwoR/B66c+AD03IFNdwUYbIW8CesmKTrg3NwQXx4zAxTEjcGPyIJStao/ql5sqhoiFdA8DOp1FL13ZoS48COi0WREZIPZjotJBQ0C3YILYZ2eNHAvppgHdsc+Wa4KM9qBbyKC7C+hVL7ZwMkGlz3fE9UmRNhBdGfYK10yQL2mTNwE9NyATOd2V308GnHob0Ik2nYmLx9GoibiWPBg/LAlQYP2Pfs5w7gFAN9QmahWkq4BO7w9ntclofZpoJSitTeRjeoBudIHM0ybeejhRC5YuoDsgnWg6+be1tAJ0XxvzJe5mAJ2Z4s7TppIVnaQ2yeCEBHS7HQno1GnSpAmeffZZVFVVNfSjeO3UF6ATE7TVYaw2BXkf0L+dHYovYxOwJ3Q23gyZi69GjcS3s0NR8lxnVOa0VETyj1T2QmdSricAnRZEvUm53gB0XladNUs8SHYX0EmGwgnQdcr13QF002vWdEyQBtA5k3L1AJ30+dHlpBLQZYjDNRPkS9pUX4BOtGlj4CIciJjiVUAn2vRW6By8ETIXJ4aPx93U/ihe3gUV2a2VHmU9bfI0oDMrt/SmuHsC0Hm6ZEmbHKXtVgGdHTxqVptEl8dCQHdoEwvowjVrNKCb2INOa1NJwRzTa9bk5bEM8yEB3W5HAjp1Tp8+jV69eiEkJATnzp3jfs3du3cxYcKEen4yz536BvRtPReqmfT8IU+j+nifegF0YoJupgxEYUYwSp/vqPSq57RUsupbmtRBOW+CuxcBnYAnb4p7fQM6F5wFq9ZEJe5mAF01V4LeenY4HOnxqw9A52UpVBNEAzpnD7pmEI80QTIMwzUT5EvaVF+ATrQpr0cGjgxORtXpgfUG6J8Pm4AbkwehMCMYJSs6qdqkeR/T0yYvAbqntMkVQGfXrxld6Jq5PNYDdCcNFF0i84aXOv58VpuEgO6GNgkB3UCbJKDLsBYS0O12JKAzp6KiAgsWLIC/vz82bdqkfvz//u//cPHiRcyfPx/t2rVrwCd07zQkoJ8YPl4xNrXbGxTQyY129WZ/dW2NaoAaANDZXa7sBHceTNc7oOsMiWNNkm6Wwgqg031+ZLc43efnKHEXmiAzPehuAjp3SJyjhFSaIBnO4boJ8hVtaghAPzY0CZVno1BRs809QN/byjVAp4fJvdxU0R+iT4IVa/UN6OxucRFI89qs3AV0XjbdjDbRX6cpbxdpEwfQhdpEA7qgxF1Xm0xOcdcAeuEyj2iT7EGX4RwS0O12JKBzznfffYfFixejcePGGDhwIAYMGAB/f380atQI3bt3x2uvvdbQj+jyaWhArzw3TAzoD7IaHtBpE2QnQNfpmyPB2yHrcUBnnpuFc3UID2OEjExXgwE624PuQUCXJkiGc7hngnxBmxoS0FltKi55QXt57CagvxkyV9Um04BOhXpxbGEFaL0AukVtMipx9wSgW9UmXg86q00ey6DTgH6gE2oOB9Xr5bHUJhnOIQHdbkcCOnVeffVVdOzYEY0bN0azZs0QGRmJwYMHo1GjRsjKykJRUVFDP6Lbx7aAXrRSvR0uvTUNZVeTbAnovDVr6qRcZlqutwGdNRfsPlnaDPEmuYsMCQvomjVrbgK6WRPEW7NW+nxHa0PiPAnon3bVmiBm1yx5HdAT/KUJkuEcrpkgX9ImOwG65vK4YI7T5bE7gK7RJk8Buo42qYDmRUBnh4/qaROdNRcBOvtrK9VdZrWJ1/tO/1qoTRSgk/d8S9pEZ9A9DOg1W5o4TXGnhwNKbZLhHBLQ7XYkoFOnbdu2yMjIwD/+8Q/8+OOP6sfz8vLg7++PuXPnory8vAGf0P1jd0AvvpdWl0W/moTyS6NUSHcSox02A3R23yxtgtjp7Q0E6Hpl8LyeOzO7Zlkz5FVAZ01QTkvlZ5Pb3Hqf3/0MrwG6NEEy+OGaCfIlbbIdoBtoU/XJfqjJDzZ1edxggO7QJavaVN+ArqdNRAdZbdJbscbVJqbVyhVAp1etGQJ6bnNlSNyWJvzLYzaDbrBmzSVAp9a/Sm2SwQ8J6HY7EtCpM3nyZNy7d4/7ufPnz6Nv374ICgrCF198Uc9P5rnzkwB0Rxa99Hoyyq4kovzSKFT8PQZVZyJRfSJUyVZ81EGZqL3DD9UvN0X5mrb4Pr0nzsTF2xrQ2RVrPMDlrimzUOLuDUBnTRBbhu60c5Z5bl7ZIq+snpcdMQ3ookm5VgCdXrN2NUkL6GSK+y4xoMtdszL0wzUT5EvaZHtAN9Km/e2V94ntDm1a3Q735oZ4HNCrXmrmPqAzumRGm7hzRFzQJm8Bup428XrPeZrodPnAbBgxpU16gE5rk8U96MLLY2rDCC+DLrVJhn5IQLfbkYBu4VRVVWHp0qXw8/Nr6Edx+fyUAb3ybBSqTg9UMhZHe6PmUIAma1GzzQ9lq9rj/rw+uDUlAremRKBgVl8UZgY59/n9lACdY4jYXj4elLM7Z20N6IwR4q2xKVnRSTWzag96TkunMsLa7dYAXWOCPAjockicDOfwjgn6OWmTJwF9Y6CxNnkC0FVtOhGq1SZHyXvNliaqNt1MGYgbkwehYEaYWz3o9Q3ovD3iosGlrmhTgwA6sxGFrU4zpU1kSJwRoPPar8iaNXcy6BYAneioBHQZziEB3W5HAroL57PPPmvoR3D5/KwA/XCQIk4fdVDg6b2WdaXvm/1R9WILlK1qj6JlXfFgQS/cnjoAN1MGomBGGB5mBaJ8Tds6uHMAuxp2A3QGZnlmhzU2tPGhp+MKwZzpPxcNxjEqc+cBOm/Qj2VAd5gglwDdrAnSA3SOCRKtWZMmSAY/vGuCfg7a9LMA9MNBSunxRx2U9433Wtb1pm/2R2VOS0WblnbDd2m9Ndr0w5IAlK9uZ6hNdgR0VptEg0vpzDn9NUbD4sxqEw/Y6wPQNdpE96B7E9DZEnfe5THxJVKbZAhDArrdjgR0Hzu+Aug1W5qg6sUWKF/dDkVLu6FgRhhODB+PN0PmYlefeTgxfDxuTx2Ah1mBKF7eRRFVMnWVrK2hDZCPAjr53laG8YjKH3m956LvTWdAdAGdM4jHK4CuZ4JymyuA7vj5ExN0deIQG4iuDHuFNEGi01CAbnk+iquAzmgTAXRWmz4fNkEpf88MUrRpdTtFm8h7nSMrqwlqirs6wf1nAOiiC1z6+4ouj4VD4gQXxCyk8wDdSJuEQ+LqC9Bf91N70DWXxwygS22S4RxSm+x2JKDX0zl69CjGjRuHjh074pFHHsH777+v+XxpaSkWL16Mxx9/HP7+/ujduzdeeeUVzddUVVUhKysLjz32GB599FGMHz8et2/ftvQcEtC1Juj79J74YUkAfz0KbYQEcE5W2XABnUxwp0yQ0zAeM31+P3VAp/5sXqaCBG9AHK/E3WhSrhOg72sjnpQrGBJnCdApEyQBXYZ+2M8E2U2bGgrQK/4eo2oT2YPekICuapPjUlLVJhrU6dWfrDYxK9ZoSDPUJub9nX5v/qkBOj3TRFjNxdEmUdsXOyBOBOim1qzxAN2dKe6v+2lK3EUZdKlNMpzDftrk60cCej2dv/zlL/jtb3+LP//5z+CZoLS0NAQFBSE/Px83btzA9u3b8W//9m/44IMP1K/JyMjA448/jkOHDuFvf/sbYmNj0a9fP/zrX/8y/RwS0OsJ0CkTRO9K5QE6PSGXO2nWRUCnP27VBGmMWGaQbom7LQF9ZxMF0IkJ4gG6zhR3s4DO7polgF76fEfZgy6DE/YzQXbTJgno9QToDi3Suzw2rOoy2YNuRpt4Peu6gE5fHlvMoHsb0DUVeXYAdEabZIm7DOewnzb5+pGAzpxjx44hNTUVgwcPxp07dwAAu3fvxvHjxz32PXgmKCQkBL///e81HxswYABWr14NACgqKsIvfvELvPPOO+rn7969i8aNG+OTTz4x/b0loP+0AV1kgthf0AllLAAAIABJREFUGw3s4fb5cb4vO4zHTJ+f3oA7UV8hd4K7YEhc2ar25kvcJaDLsFW4boJ8RZskoP8EAF2nfUlPc3jaxFZ6sVl3q9okGhrHnY+iU+LO/j2det6pKe48barIbi3WJgnoMmwXEtDtdiSgU2fv3r1o2rQp0tLS0KRJE1y7dg0AsG3bNowZM8Zj34dngtLT0zFw4EDcuXMHP/74I44cOYLmzZur5uvw4cN45JFH8PDhQ83vCwsLw5o1a0x/bwnoEtCtAroekAuHxAnKEUXZCxGgk75IepWN+nOiAJ1MPq7ZxpggC2vWyqu2iAFdZ1KuBHQZ5sM1E+RL2iQBXQK6K9pkNNVdT5vYZ+L9/XiXx7w1a+TfnQC6UJtEgE71oPMuj80OidMDdKlNMpxDArrdjgR06vTv3x9vvPEGAKB58+aqCTp79iz+4z/+w2Pfh2eCqqurMWvWLDzyyCP493//d/j5+WH37t3q5//3f/+Xu0Jn1KhRWLhwofB7VVVVobi4WI3bt29DAroEdAnoEtBlNES4ZoJ8SZskoEtA/ykDOptBl4Au46cREtDtdiSgU6dp06a4ceMGAK0JunbtGpo0aeKx78MzQRs3bkTPnj3x4Ycf4ty5c9i6dSuaN2+OQ4cOARCboJEjRyI9PV34vX73u9/hkUcecYqfLaDvaaZOMq1+uSkqsluj9PmO+D69J74eG4P8IU/jcOQknBv9FO5MD8eDBb1QmBGMoqXd6krVCKw7zBAbGjinAZ2almtlSBw7zEbPROj1oFsFdJEhYXvBecbHlAni9aFzSgdp82W1jFC3xN0ioOuWuBusWWNNkFxlI4MfrpkgX9Kmnw2g8y6PXdSm4uVdnLSJ1SeeLrGATnTJ7JA44QR3QXm4WW3iXSzrXh4LSs2thPCSwUifKJ1ie9DpFizLJe4ibfLiHnSpTTLEIQHdbkcCOnUCAwNV00GboDfeeANPPPGEx74Pa4IqKirwi1/8Ah9//LHm6+bPn4/4+HgArpcR/hwz6FWnwp2NEMlWfNAWtXtbKWK1q4nak1W9WdkbW7muFcpWtUfx8i4ozAjGt7NDcS15MI4NTcLnwybgTFw8LiVGo2BWXxRmBqFoWVfF0KzsoB0AQ8rYaBNERNCxxkYE6ewEd5I9pwGdNRNsNoE1N3QWggVznilizQ/9Z7O9fSIzJFoPJ8y0cAYLOX2czY6ITJDj5+AWoFuZ4v5pV+XP0QH0irVt5KRcGQbhmgnyJW2qL0Df6vgzLQP6zRSUXU0SXh5XH++DmvzgOm060Mn5EnlXEyWbTrQptzkqsls7adPViUOQP+RpZ23KCFbeFx3Qrr4nUtVFLKBrtEkA6Wa1iZd9Ju/pNGTTGXGeFokGl/KCrbCin8cMmFsGdCNtoi+QHdpELlDIkDhWm5zWrOlpk5uAXv1yUydAJz9vqU0ynEMCut2OBHTqbNiwAX369MEXX3yBFi1a4Pjx43jrrbfQrl07bN261WPfhzVBpPfuL3/5i+brFi5ciFGjRgGoG8Tz7rvvqp8vKCiw1ZC49QGZ2Oj4MzcGLsKGQMUQ5fXIwM4n5uP21AEou5KImv/b5Tqgn4lUAb36eB8V0msOBSiQfqATave3VwTrnRZK1oKYIUfmojKnJcpWtcfDrEAUzAjD12Nj8FboHOwJnY2DA1PwRXQibk2JwHdpvfHDkgDNhFbNGhUJ6F4BdCtZCjsBusxSyDAO10yQL2mTNwB9veP3EF1itenO9HCUXU1StclVQNdoEw3p7AUyrU3b/VCz1aFN61qhdGUHjTa9ETLXUJv0LpC5gO6mNklA5wM6O8XdJUD3UAadB+hSm2SIQwK63Y4EdOasWrUKTZs2RaNGjdCoUSP4+/ur02rdOaWlpTh79izOnj2LRx55BHl5eTh79iz++c9/AgBiYmIQEhKC/Px8XL9+Hf/zP/8Df39/zb7ZjIwMdO7cGX/961/xt7/9DXFxcQ2yZm2jwwSRrMSGwEVY0zUL2d0WY113xUxt67kQuQGZ+PXjS7C5RwbeDJmLe3NDNCZIArq9AZ0H5Hq7Zrm7cgVmiFu+yF4QkH8jjgnSzArIbe79EveDnZ0B3WGqnXbNOn7uss9PhnO4boJ8SZvcBXSeNpE/R6RNpdeTJaDbHNALM4Oc4FukU8KLYx1A57Z96WkT3X5AXx7TswJeaobqPHNr1irPDTMH6LwNI3qATtobpDbJEIYEdLsdCeicU15ejtOnT+PUqVMoLS31yJ+Zn58PXr/d7NmzAQDffvst5syZg06dOsHf3x+9evXCpk2b8OOPP6p/RmVlJbKystCmTRs0bdoU48aNw61btyw9hyuATkwNgXM6Q77RkYlY0zULa02YIAnoHgB0hwniATr7MdYgka9he9pZUBcaH+bZeZkMp/55Tr8ieRbec+iaIIcRtQWgizLo0gTJEIZ7JshXtMkqoBM4Z7VpvQVtsgugs9r05k8Y0NnLY1aXeNpE9EFPm3gzUniXx+zXirSJ/Nn0s9AfZ3VRD9CdBs3aBNDpAYFSm2Q4hwR0ux0J6D52rAL6+oBMbO6RgbweGcgNyER2t8WaUkEJ6CYBnTJCqgmizBBtNoRT0B2/1hsAR6bi3p/XRxNsFkM1Hcz3aXBAN5lBV7MUHEDXKyOsOhXu3h50ygRVb/ZXAZ1McadNkCwjlOEc0gSJjlVAp7Uppztfm34SgL6jAQDdYg+6VW0SDYATaRM7ud0lQOdok1VAF2mTEND1tInNoG9pYgjoZkrchdpE7UEnM3dk+5UM8yG1yW7H5wH9V7/6len4ORwrgE6yEXnUx30N0B9mBWqHwFBmiA7yMRbONYDOW7NmAOianrmfGKDzSgrZUnteCSHdA69ZUcf0+ak96LnN61bZ2ATQpQmSwQ/zJsiXtckI0Flt+skA+v72HgN0J21y6I5lbaImuOtpE7d96acO6MyfT57FjDaps1EofXLSJroH3QDQNdokAV1GvYcEdLsdnwf0ESNGmIrY2NiGflSPHCNAJ8BNlwv+XAG9aGk3fJfWGzcmD0L+kKdxNGoivho1EleSonBrSgSuThyCCwmxOD1iDL6MTcDXY2Nwa0oECmb1xffpPZVhMZRI0ybpJwPozAActszcqYSQY4J4Zog7kMfx7E4miPr7GQE61wR5CNDLq7agpCzH9SFxVBmhNEEy+GHeBPmyNukBOk+bfm6A/sOSANyf1wc3Jg/CkcHJOBo1EadHjMGlxGjcTBmIa8mDcT4+DqdixuJUzFicj4/DjcmDUDAjzEmbipd3cdImAvWsLtkZ0GltMgvoohkpprXJwuUxrU3cDSNmM+iuAroJbSLPKae4y3AOCeh2Oz4P6L52zAL6xp8boDtulmu2am+XSY8WEa+iZV3xfXpP3J46AF9EJ+KNkLnI7rYYr/ZagBPDx+P6pEgUzAjDgwW9bAnool4/0RAengnhDYpzG9CpZ3cX0NVdwBSgC0vc32lhugfdNKDvkoAuw9WQJkh0zAC6SJvcAfTXnpiPu6n9GxbQGW2qzGmp7jYnQE206daUCHwRnYhdfeaZ0iZPAbrVEnezfejs15rRJm7/eUMBOl3hRa1ZM6VN+9qItcksoOtMcecCulyzJoMbUpvsdiSg+9jRA/S8nxugv9dSEcE9zRQztNsftTsVWFcH8zjKlNkdtHYBdF6I4JxkI+jP84bHmTVBHgN05tmdStypz/OyIsQ4srtmRYCuGRLnDUA3sWZNDuKRwQ9pgkTHCNA3UJrjSUB/tdcC3JoSUb+ATvahE23a1UTRph0cbVrbBqUrO6B4eZcGBXTDDDo1vJTWHp420ZDuijY5lZtbAHS9i28jbWJL3GltEl4e5za3DuhWMugsoG/TvzyW2iSDH1Kb7HYkoFNH1N+3fPlyrFq1Cjt37kRhYWFDP6Zb52cH6PnBCpyLTNA7Leogfbe/mk1vEECnev00pkIAurwMBWuCRIBO99S5CuhCSOcYIOE6G51e9HoBdKMp7gYmqOLvMag+3scZ0BkTxBsSJ02QDOdwzQT5mjaxgE5Wp3kT0MuuJHoM0GuO9tZq04FOfG2iL49F2iQAdJ423U3tX6dNS7uZA3Ral5gBcfR7MTfzzNEmutXK6PLYE4DOW63GrmATVXXR2sQOinNq/8oMEmuTI4vOzaDnNjee4m4B0J2muJsBdKlNMgxDArrdjgR06owYMQItW7ZEs2bNMGDAAISHh6N58+b45S9/icjISLRq1QqtW7fGxYsXG/pRXT4iQF/XfbFqbGwN6K6YIG8CuqPUjb5Fpw0PnZmgMxQ8U+ENQKdND2uCeGboYVYgd6I6+buyxoiFeG8Aujopl5qmzx3Ew5qg3f58QL8Yh9LryR4FdGmCZJgL10yQr2kTDehrHZrjaUBf4QVArz7ZT1PZpV4cuwnoRJt47Vev9FyIz4dN4AI60Rs9baJBU0+bXAF0AulWAZ0L60xJOgvqvP+2AujsIFMeoLMZdFqbuIAumuJOa5O7PegS0GV4JCSg2+1IQKfOH/7wByQnJ2teoMXFxZg8eTI2b96M8vJyJCUlYfTo0Q34lO4dHqBvcwA6MUF2A/SKi3GoPDesLntOm6B6AvTtvdPwRXQiriUPxq0pEbg9dQCuThyCr8fG4PqkSNyeOgD35obUAbLjtp1dqeZNQKcND/05ngliewDpCbkiQGentZsFdPrZ2WezkkV3C9A9NYjnrUe1JijPX2iCZA+6DOdwzQT5mjaxGXQ7Anr55QR9bfIUoFPaJAL0E8PHq9p0a0oELiVG4+KYEao2fTs7FPfn9VHA00VtsgrovMtjK73pwlklbgC6SFNF2sRuOuFWlZEqOr0hcbw1ay5qU0nBHJRdSRRPcTcAdDkfRQY/JKDb7UhAp06nTp24GYgLFy6gU6dOAIAzZ87gscceq+9H89j5SQC6FRPkYUAvea4zCjOCcWd6OK4kReFCQizOxMXjfHwcriUPxjcThuKrUSPxyZMp2NE7DW+GzMXJ6HG4PH447qb2x/15fbwO6DwToWd8RMbIHUBnjYrmuTnrcdjJvk5T5d0FdFJGaDQp90SoqV2zTmWEIkCXJkiGpXDNBPmaNtGATia32wrQryQq2vT3mHoFdKJN50Y/hXOjn8KZuHhcSIjF1YlDVG06EDEF23ou5GqTWUCn9YjVJidAFwAuD9TZwXDkmTwN6LyP857bSDvNAjqpoNPsos9uXadNLzet06YdYm2qPDfMSZvKKjfVvRYLl+kDuokedDnFXQY/JKDb7UhAp06zZs2Qn5/v9PH8/Hw0b94cAHDt2jW0aNGinp/Mc4cF9A2Bi7A1OF1jghoM0B9k1S+gb6szQWSae8XaNihf01YjaEXLuuLBgl64m9ofl8cPx+kRY7C33wxsClqENzwM6LwyPNZM6AE6D4CtADrPBOlNwuVmKHRMkBVAZ8sJ1V5/x15fYoIqc1qi6sUWfBO0p5kpE2SYpTjQSXlNUVkKduJy+ep2igFylI5eSYqygejKsFe4ZoJ8TZsIoL/aa4EK5g0G6A+fQ/GDLOfWq3oC9Mp1rep0idUmx6rQO9PDVW16N2wWNgUt8iigOw0vNdAmXiWXq4CuKTc3oU08HWGz5aILBbe1iVwgc7SperM/arY5tGmnvjaVFMwxD+gibcptrtlSQ7SpaFlXfDNhqA3eC2XYKySg2+1IQKfO9OnTERAQgH379uH27du4c+cO9u3bh8DAQMyYMQMA8PbbbyMiIqKBn9T1IwL03AYAdGKCikteUE1QvQL6Hx3lYMQM5SmGqCq3uTr0q3RlB48COj0UTrc03GEg6gPQnSCds1aGB+j00BwjQOc9u6jMnXcJYNYEuQroxAQVl7ygNUFno8QmKK/OBJH9xaXPd1SHAF4eP9wGoivDXuGaCfI1bSKAvoXRJquArqdNZgCdvB8U38+oX0B36JIZbRIB+hshc3Fi+HhcSozG3dT+uDc3RBfQTWkT9Z7Oa1vyFKDTO9JpnaO1wtOAztNOzeUAM1OFhnQnbVrdTqNN6hBTFtD3ttIF9JKyHK42lV9OULQpP7hOm3b7c7WJBnSpTTLEIQHdbkcCOnVKS0uRlpYGPz8/NG7cGI0bN4afnx8WLFiAsrIyAMDZs2dx9uzZBn5S109DAzq7yqakLKf+AZ1aZ6OC+pYmasbCHUAnfegiU2KUAXAX0M2AODFGIhNkFtBFz+80gZcyQ14DdFGJOwfQ2RJ3kQniAjoxQY4SwsqcluqU5aJlXfEwKxAPFvTCt7NDcSYu3gaiK8Ne4ZoJ8jVtIoCe1yPDrRJ3VwC9sna7Uk1TllNX3l6fgL6DuUB2zLqwqk27+sxzAnS2dFxURWVUHUW/x+u1MFnRJnqgnDuAzrs8JtridBFtoE0ifTIEdNHl8TaHNnkL0HdotUl9nSzthsLMIHyX1hvfzg7Fl7EJNngvlGGvkIButyMBnXNKS0tx7tw5fPXVVygtLW3ox/HoaUhAL1rWFSV3ZuJfP76Fytrt9QfoZN+sFwB9T+hsnB4xBl+PjcGVpCicHjEGnzyZgsORk3AmLh6XEqPV6boku07A2xOAbhQkQ+EJQDcK8vxWTRDPAPEmudOr7Lh9fi4CulMZIRkSxysj3O2P2u11GQp1dsGKTvhhSQAKM4LxXVpvFMzqi9MjxthAdGXYK9wzQb6iTZt7ZGBLPQJ6way+KL01zTqge2NInAcB/YvoRHw9NgaXxw/HyehxqjaRj1vWJpOAzisZZy+uifaQjLmnAJ2X/SezUdwFdKMhcdz2K1qbeID+UQdTgO6kTfTl8XstldcP0SZH7znRJvL3vz+vj9QmGYKQgG63IwHdx059AzoxQdt7p6EiuzWKH2R5H9A/aKtA2d5WHgX0ghlhuDpxCC6PH46vx8bgQkIsLo8frg6Tyx/yNHb0TsO67spk3SODk10zQYIhPKK+ORq+eSZIBOhs9kQPlM3AuVlAZ4MtIaT78+nyS5cA3eSu2bLKTdop7vcztID+UQfVBNX80Q9VLzVDRXZrlK7sgB+WBOC7tN64ljwYFxJicWL4eHwcMRV5PTJsILoy7BXSBIkOC+i07ngT0F/puRDla9qi+OFz3gd0ok1WAd2ENl1JisJXo0biq1EjVW36ZsJQXEiIxeHISXi11wJ1ZWj+kKc9BuiigWtsZtxdQOdVWZnVJbOAbqRND7MCDbXJFKBb1CZdQCfatJOvTffn9cG15ME4Hx+H/CFP4+2+s5EbkGmD90IZ9gqpTXY7EtCZ89e//hUrV67E/PnzMXfuXE38HA5tgrYEp2NT0CJsClrkFUDfELgIqzovUS8BKrJbo/jhc94BdJ4J8gCgkxtoepAO6eP6Pr0nvp0diuuTInEhIRaHIifj1V4LLAG6WTA3Y4R4Joj+OPs5PTNiNXsunPBrwtTRBkgE6PQUdwLoTmvWNnPWrBETRO9B1zFBahnhnZmouBiHqlPhymvrvZaofV3JTlRkt9b0fl5JisLZkaPxp7CZ2Bi4CL/pvAQvdMnCrx9fYgPRlWGvcN0E+ZI2bXZoDhn05i1Azw3IxNbgdFSua4XiopXeBfT97T0K6Ko2Od4ryXsk0aaCWX1VMPvkyRR1ZR1Pm+7NDdHXJjd0yQygszNTzICyFY3S+3tovocL2sS7PK5Y26YO0I20ySSgF5e8oAwrZLXpnRao3eGnTPxf20aFcqJNZ+Li8Xbf2VKbZBiEBHS7HQno1Fm7di0aN26MQYMGISkpCRMnTtTEz+GwgE4MjqcBfasD/tcHZCKneya2eAvQDwd5HtBfaqZAnyPIELCKtW3USd1Fy7qiMCPYEqCTIT335oY4BXdQmwuArhds9p1rUEwCOj2Bnv41dzAPXbLvggkilyLcHj8PAHpJWY4SzA70qjORSoZif3vU7lYG/FTlNkf56nZ4mBWomqCrE4fg4pgR+CI6EceGJuHY0CScihmLL2MTML21NEIy6HDNBPmaNnkb0Ik2reuufOynBOhmtIkF9M8GPaNm0Ik2kT3pdH/6/Xl9cG9uCL6dHYpvZ4c6aZMIZnm6pHd5LLosNqNNZgBdT5tYXdLVJk51F9t6RfRJBfQ1bdXLYyGgm8ygs9pE1n9WnR6oaNMHbeu06cUWKFvV3kmbLiTE4mT0OFWbTo8Yg4MDU2zwXijDXiEB3W5HAjp1OnTogN27dzf0Y3j11Begb+6RgY2Bi7C5R8ZPA9C3UkYojwqStXBMQzUL6K/2WoBjQ5NwISEWF8eMwLnRT+Fk9DicGD4ep0eMwYWEWFxLHow708NRMCPMMqCzZojNONCZCPbzRiZINAhOA840oFPTf/Um5wr/bhxAp02QENDNZtA/aCsG9IfPoaQ0u+516Miel19OQPWJUOU19bofyte0xf15fXB76gBcSx6MK0lRuJIUheuTInF76gDcnjoAd6aHKz/PWX3V1oL1spRQhiZcM0G+pk1WAd2sNm3ukYHNPTKQG5Cp0SZDQBetWatPQBdpkwDQedpEAD1/yNO4kBCLCwmx+DI2ASejx+FQ5GRDbTICdL0+bhL0kDoRoJPvoXd5zK48M3t5LJrobnQpYBrQqeouVzPoJQVzuNpUemuaok3H+yi963/0Q/HyLrg3N0TVpm8mDMU3E4bqatOVpCh0bBZtg/dDGfYJCeh2OxLQqdOmTRtcvXq1oR/Dq8ebgJ7dbTFyumeq5mp9gGJ+PAropwd6B9C3CSDdAqAfG5qET55MwSdPpuDzYRNwISEWZ+LicSBiCl57Yj42BS3Cjt5pOBk9Dufj4ywBOq/kT9QzZxbQ6a/n9Z7zTJA7gM4tK2QMkGlA55W451EmaGcTfUC/koiSOzOV15zjtVd6axrKL41C9cl+yutpux/KV7fDrSkR+GzQM9ganI4dvdPwbtgsnBg+XjWyt6cOwN3U/mrGiVx+/LAkAJuCFtlAeGXYJ1wzQb6mTXk9MjS7zD0F6OTPXW8W0MmatQYAdHbdmlCbTAL63n4zcHCgok3n4+PwZWwC3g9PVVvddvROwxfRibraxAN0PQ3iaZRZQBfBuUibzAC6UWWXXlm9HqCb0iZ6PooeoNPa5KjeKL2ZgoqLcao21fzRD6UrO+BKUhTe7jsbW3S0iYA5qYYg2rQxUGqTDDokoNvtSECnzq9//Wv8/ve/b+jH8OrxJqDndM9Us+bEBHkS0CvPRnkO0HmZChcA/f68Pvh2dqh6M03++2bKQFydOARfxiZgb78ZGhMkAnS2X5wd5MYOc3MX0Nk/T7Tb3BDQqV87DeYRlLdbBXR1jQ0ZwmNkgmhA39tKMcefdlWNUOXZKJRfTkDp9WSU3pqGsqtJqPh7jGKAPu2K2neUP7NoaTdcSx6MI4OTcThyEq5OHIKCGWEozAxSnmtFJyVz4oiSFZ00K3c2y0FxMjThmgnyNW0i09s9Bejkc2Svum0BndWmbe5pE9GXe3ND1AneRJtOxYy1pE108LSJvfR1B9B5E9TdBXQz2mQV0F3SJnrDCK1Nh4PqtOnSKEWbbqag7EpinTY55qGw2rS33wwcG5qEW1MiUJgRrPTFE21a2cFJm0pWdJLaJIMJCeh2OxLQqfPss8+iVatWiI6ORlZWFn71q19p4udwvAXoa7stxkaHAdoSnO5RQC+/NMo7gP66a4Betqp9neCReK6zugf73twQ3JoSYQjoVycOwc2UgbiZMhDXJ0Xi6sQhuJY8GDdTBuL21AGqsdIzQXqArmeceJ/TA3Se2eGZoKKl3QwHDDlVCVBfw1uxZtkE0ats3npUm6k4FIDqE6GoOhOJ8kujUHY1SQPnNYcClNePYygcKTElob426NfF2jbq0CaNEZImSIZTuGaCfE2bPA3ouQGZ2NZzoecA3WT7Vb0DOoExsvbL8euiZV1RmBmk0Saykm1LcDo2BiradGL4eFWbbk2JwM2UgWrZ9LXkwbgxeRBuTYnQ9K1bBXS98ndXAF0vrAA6T0vpoL8nO5jPkjbt0NGm431QdSYSFRfjUHY1CaXXk+sy5592VV4/jqFw5DVRs6VJ3etDapMMl0MCut2OBHTqjBgxQhixsbEN/XgeOd4A9A2BypCevB4Z2NZzIbbaCdBpI+QmoFeua4WK7NZ1QcoKV3YwBHTy70J2056Ji8fpEWPw2aBnsK3nQrwfnqqWphFzZAbQ2ewDbSysAjqbLdDLTJgBdFGvn8uATu+ZXd1Os8ZGaILoLPoHbRWTTIzyey1Ru0MpFfw+vSdKn++I6s3+dQN83mmh/H5HSwSZVUBeH2SYIPtaoI2QXLUmQxuumSBf0yZPAjqZi/KKEaAXLjMH6BbmowgBnVwei7TJBUBntUmFMgGgfxmbgH39U9WZMbv6zMPJ6HE4ExePk9Hj8FboHOT1yMD+8OlqyxbRJhrQ2QovI20SVXG5q01mAZ03JI5+LuH8F+r7unV5vIMqcydZdFab9jRDVW5z9d9Bo010wsHxWtFoEzXo1smnUFl0qU0ytCEB3W5HArqPHW8BOikffMVOgM5m0d0AdHZqrqbvTwfQz41+CseGJqnwfXHMCHw1aiSODU3C3n4zsDFwEX7bJQtv953tZIJoQCdlhSRIyaII3o0A3ShbYAXQ2eDCOZWtcDJB5OuY78n2nwsBnZigl5sqw3iojAKb/a7KbY6KtW1QtLQbCmb1xdWJQ3ApMRrXkgej5Dml75xkNDSmem8r5TXk6BNVJ/+/3LQug0VnKp7rjOLlXaQJksGENEGiQ2sT0Rt3AX1DoLJG1AjQK7JbmwJ0qwNMhYBupE0WAF3VJfoSmQPoZLo30aYzcfE4GjURnzyZgi+iEzXa9Kewmeqa1HfDZqkDT0WAbkWbzAI6WxXGZrP1tEkURuvW9ABdk0F3aJMK6aw2sYD+clPlZ0aGxdG6RH6WL7ZA+Zq2+GFJgEabrk4cggcLeqFmK6NNdDUGR5uqXmqm0Sa6ukJqkwznkNpktyMBnXMuXryIgwf2uTNjAAAgAElEQVQPYv/+/Wp8+OGHDf1YHjmeBnTy+2gT1OCAzstUuAPo1No1M4BOev0KZoSpw1nuzQ3B3dT+uD4pEufj4wwBnZS53546QC2BJ1NZC2aEGWbXeYDO9vwJMwUmAV1UCm8G0J160B1fo/l+OoBOGyGyc5asXVOhnQ2SVXCY14rs1orp2dkEtfvaoOpUOMquJKo9phV/j0HVqXBlnc3Bzsrr6a1Hla/fzjFBjh5Q8looWtpNDomTwYR7JshXtInohzuAvsHDgO7KhhENoFvRJg8Aukib7kwPx93U/qqG0NpELpQJoP+2Sxb2hM7GsaFJmrYsMnzsxuRBuDpxiKpNd1P7c8vfSc85C+j0ADoesFsBdBGQs2XxRoCu0SZKvzSzWASATkM62TSi7kSntIn8vHjaVLy8C8pWtVcy5g5tqskPrmvJYrXpQCeNNmkA3eFTNJc1Dh2XQ+JkaEMCut2OBHTqXLt2DWFhYWjUqBEaN26MRo0aqb9u3LhxQz+eRw4xQTPbpGN+22ex4vElLgM6MTq5AZkND+hGpYRmAZ3u5bIC6I7SMSLaRcu6amD1wYJeKJgRJgT0P4XNxOfDJuCrUSNxJi4enw16BvvDp6sT4b8aNRLfTBiKmykDNeZKb7csPdRHWDpoAdBFZsgVQFefgQPotAkioMuWE/Iy6qohcpghTdn5yg5KRuOlZsqgnndaoCY/GBUX41B6M0VZufYgq27f8c0UlF8aVbdvlgZ0R5aCZOTJ9yKvg+LlXdS/xwZpgmRowjUT5Eva5ClAz+mu6JMRoG/ukaEP6G6sAK39tGudNjUgoNO6RL8/FWYG4bu03k6Avq9/qqpNBNC/GjUSX8Ym4ODAFOwJna2WvrPaRDZaWNUm3rR4LqDraJNLgM7RpgcLeulrE5nizmwa0VwmU1PdNbvRGWgufb6juo6t5o9+qH2vpbM23c8QaxMN6I65KdV5jmoxKnsutUmGfkhAt9uRgE6dcePGISkpCd999x2aN2+Or7/+GsePH8egQYNw7Nixhn48jxxigpT/M/4bhjSd5zKgk//O6e46oJdWbEBJabayb9YVQM8PRs2hgDpIbwBAJ4Pjyla115SREZAVAfqBiCnY1z9V7T8/PWIMTkaPw/vhqVjW8Vms6ZqFff1TVXPEAvq3s0PVkkIySb5gVl913Zdo0q4hoDOZbCNAp40Ld0Acs9JGCOjUoDqnbDpn5Ro9Qb1kRSd1enHBrL44ExePL6ITcXrEGHw9NgYFM8JQvrodql5qpvzc97VBzdHeKL80SrtuzWHGSwrmoOxKIirPRik7Z1lA31YH6CR7XvJcZ/ywJADfpysrju5MD8earlk2EF4Z9gnXTJAvaZMnAJ0MLtUDdKJNPEB3aQUoB9A1l8euArremjWHNokAnegSq03s5TFb3bWvfypee2I+9vVPxdGoiTg9YgxODB+PPaGzsaTDs1jbbbFGmy6PH+4E6DxtovXJCqCLtMkI1N0GdPbrOMPqdLXJAcZFS7vhu7TeODf6KZyMHqdq08UxI3BnenidNu3w02TMS29NE2pT1ZlIc4BOaRPxIVKbZDiHBHS7HQno1Hnsscdw7tw5AEDLli3xj3/8AwBw+PBh9O/fvyEfzWPHk4Ce010xQQ0C6CdCFSOUH6w1QvUE6KoJctyMl69p6zRFlwfoN1MG4psJQ3ElKQrXJ0XixuRBuDF5EL4eG4OvRo3EieHj8W7YLDzbwRnQL48frv6ebyYMxaXEaFwePxxXJw7BjcmD6koXqbJ6nglisxciE2Q0eIddtyYEdB0TpGfIeCve6H/Pe3NDUDAjDNeSB+OrUSNxZHAy3g2bhZ1PzMervRZgV595ODgwBefj43B/Xh9U5rRUMhQftEX1iVCUXxqlZCVKs1FWuakua1a0EsX3M1B2NQmVZ6PqTNDeVqjdpQz6qX65KSrXtULpyg4oWtpNfZ67qf1xY/IgXEsejCtJUfhN5yU2EF4Z9gnXTJAvaZMnAD2722Ks6ZolBHSiSV4FdMflcYMBOqVNvMtjtrrrZspAXEqMxqXEaI02XRwzAmdHjsbnwyaogP6Co+rr2NAknB05WtWm65MicXn8cFxKjMbFMSOctclxseyuNokAXaRLRDfMlLjz1poaaRP9PYgW3J46AN9MGIqzI0fjyOBkvN13Nl7ttQCv9FyIXX3m4f3wVHw1aiTuzQ1B5bpWSrvVey1RfbyPok0PslBSmo3Sig2KTyrLUV6L99JUbao+3oerTRXZrVH6fEcVyu/NDdG0JEhtkuEcEtDtdiSgU6dVq1a4du0aACAwMBBHjhwBAFy9ehVNmzZtyEfz2PEkoBMTZAnQi1biXz++hep/vY6Kmm0NB+jECNUDoD/MCkRhRrBmzzn534IZYbg1JUII6KSM8FTMWJwYPh57+83Au2Gz8HHEVOQPeRpn4uLxzYShQkAnWQySySDmiHzOyATxVsuwpec8QKdNEG+iL2vCRKt4vkvrrWRgHH33t6cOwPVJkbiSFIVvJgzF12NjcCEhFqdixuKzQc/gwwHTcDhyEk7FjMXFMSNQmBmEqtzmiuH9oC1qDgeh6vRAlF9OUDLnRStRWrEB5VVb6gD94XMoKZiD8ssJmt2ztTuV4XNkmI+6czgzSJk74DC5l8cPx4WEWJwb/RSWd5QmSAYdrpkgX9ImbwM6KX/3OKBT2uQWoDu2RvAAXaRNRoDO0ybyPv19ek8nbSLvZ7emRKjD404MH48/hc3Esx2eVduyjg1NwhfRiTgyOBl/CpuJN0PmYl//VI02XZ8UyQV0njbRn3NJm3Quj3mAztMmtvJMtMZUnTXjmDdD9stfSYrC5fHDNdr0yZMpeLvvbBwcWDeQ7/bUAajIbl2nTfnByvrPywlK5rxoJUrKcrSXxw+fQ8mdmSi/NMpZm7Y0QWVOyzptWtqtTptm9VW16Xx8HM6NfgrLOj5rg/dDGfYJCeh2OxLQqTNs2DC8//77AIBp06YhISEBn3/+OWbNmoWQkJAGfjrPHHcBfV33xdgU5BlAdymDTjIV7gD6LhcAne71M2OCHCXXmnAYBiLyPEA/GT0OH0dMxRshc3EocjJOxYzFqZixOBw5CW+FzkG2o2zzT2EznUwQGdxze+oAdYftrSkRGnPEGiTWBGnW2jD9fho4p/4+TqvVMrQ7ZVmzw8uW3J/XRwXxu6n91eF4NyYPUrM59L54AuiXxw/HlaQodX/8/Xl9ULSsKyrWtlF6+rb5KT/v91oqu2aP9lZNUMmdmYrhKctRojRbhXNN9nx/e6V8cIdSOliR3RrFy7uo0/qvJEXhy9gEnBg+HseGJuFo1EQcipyMz4dNQOZ/SBMkgw7XTJAvaVODAfqDLJcBnVweE22qb0B35fLY6bLVoU0soNPa9H54KtZ2W4yPI6aq2vTZoGewq8889d97b78ZyB/yNL6MTeBq0+2pA9T3c6JNPHgng+VEg+LoVijN34cBdFWbMpx3nfO0iQZ0Et/ODsXd1P64Mz1c1VZSMcDTJlJFQPbH35oSgW9nh6JoaTd9bXJcHpfemqZoUWm2ZlhhyZ2ZautVTX6wszatbYOiZV3Vaf2Xxw/HyehxODI4GceGJiF/yNOqNmW0l9okgw4J6HY7EtCp88knn+DPf/4zAGUozxNPPIFGjRqhbdu2OHz4cAM/nWeOu4BODM2mIOuAXr66HUpvTXMJ0Cv+HvOTAHS6lFDtj6aH9AgAnQj6laQoFUqvThyCr8fG4MvYBHw26Bm8ETJXA+hHBifjy9gEXBwzAhcSYvFFdKK6Y/3c6Kfw9dgYzXRdGtDZbAXJZJDSQ3bKOi9LQUM5L/vNM0HfpfVWS9Npw0P+zteSB6ulleS/ryUPxtWJQ9S1M2Rd3ddjY3Bj8iAUzAjD/Xl9UJgZpE7ArcxpqUzB3e7YN7u3FWo/7Yrq4320WYrCZSgueUHzGtRkKD7qgNodfihf3Q4FM8Lw9dgYHBuahDdD5mJV5yXI6Z6JnU/Mx57Q2fjkyRScjB6H0yPGqP2FKx6XGXQZdLhmgnxJm9wB9LweGbqAvlUA6OVr2qKkYM5PE9CtXB4TbWJWbtHaxFZ3XUqMxtdjY3B5/HD1IvRKUhS+HhuD0yPG4JMnUzSA/m7YLBwZnKzO//hq1EgcjZqIL6ITcSpmrJM28bLrbAUYXRZvpE2aSi4mS862VulpE71BheiQSJvIv8f5+DhcSIgValPpyg6KNuX5K+1WRJsOdhZqU3HJC1ptIpVd+9ujZksTFGYG4W5qf1xIiMWRwcnYEpyOVZ2XYH1AnTZ9OGAajkZNxKmYsVKbZAhCArrdjgR0g1NYWIgff/yxoR/DY6ehAH1rcDqKlnVF6fVk1wGd7vWzMaCrkK5jgog5UIfoUCvZvp0dittTB3ABPae78nM6EDEFR6MmIn/I03i772xs67kQm3tkYG+/GTgZPY5rgtjsOsmwq/Du+P48E8QOcxOVpLMmiBg9NitOZ8ZZw3MteTC+mTAU5+PjcCpmLPKHPI0PB0xD/pCncWxoEk5Gj8PZkaNxccwIxQTN6ovv0nrjYVagAufrWilwvsNPyS7sbYXajzqg5nAQqk+EovJslNYEFa1UsxPll0YpWfOdTVC5rhUeLOiFy+OHq6uHtvVcqMLArj7zcDJ6HL4eG4NryYNxN7W/tiohM0hOypXBhOdM0M9Vm1wF9HXdF2NrcLoQ0LcJAH1LcDpKnuuM0psplgFdc3lMATqtTVxA39tKyZwatV+JetBfbuq6NpkFdMdAN7ptimgTAdIvYxNwKHKyenm8IXCROljucOQk7Amdjc09MrAhcBHeD08VahN7WXtj8iBVm8j3J5PhNf3gjDbResQDcqcWs1l9NVlxokU8bSLr5K4kReF8fBxORo/D3n4zVG06GjURJ4aP12rTjDB8l9YbhZlByrR2WpsInFPaVHUmUjscjtKmiotxymvpdT9UZLfG/Xl9cD4+Dh9HTMWe0NnY6ng9r+22GLkBmTgcOQkXx4zAteTBuD11AL6dHSq1SYZOSEC325GA7mPHHUAn5mhrcLppQCerbLYGp+OHJQEou5pkCdDLriS6DugiE2QA6FZMEAnaBLHZCicTRE2CJb8mZd6k1JsG9LMjR+PY0CR88mQKTsWMxVejRuLc6KfU3rZXei7Emq5ZyHWUFxITdHHMCHWY3LnRT+GrUSPVuJQYre60pQGdTN8lmQt6+i5dFs8zPervcfSK08PSrk4cogFw2vR8M2Eozo1+CvvDp+NAxBS8GzYLeT0yNCWrO5+YjwMRU3BsaBLOxMXjUmI0bkwehAcLeqF4eReUr26nZs1rtjmGLO1qovzs97VRTNChANQc7Y3qk/1QdXogKs8NU/bJkmm4H3VQXifb/VCZ0xJFy7qiYFZftde9YEYYCjOCUbSsq2Lon++oqZoga2zovke5a1aGNqQJEh13AX19QCa29VxoGdC3Bqcr2U0OoJO2F48COrk49jKg87TJENApbaLXsIm06UxcPI5GTcSBiCk4FDlZ1aYvohNxcGAKtgSnY03XLGwIXIS9/Waoa9mINl0cMwJn4uJxJi4ep0eMwdmRo9VKMnoqPKtN6mR4RrfYjSXkIpzVJrocnadNRJ8ujx+OM3Hx+HDANHwcMRXbe6dhVeclqjZtcGgTmQlzKmasOmTv3twQFC3rqkxof7GFok1bKW3a00zVptpPuyradCJU0aazUYrfORWuvIb2t0ftHmUNW2VOS/ywJAB3U/ur2nkmLl5p71raTdUmOlmgttxJbZIhDKlNdjsS0H3suAvom4IWYVvPhZYAnWTSi5Z2swTopdeTrQE6uwfdFUC3YoJImAR0ehctLZY8E3RnergKsKS0jtzwX504RDN8hgA6yVKcGD5ezTzv65+KHb3TsCd0tjo8jZggAugks07+bJIpIN/z9tQBmrVuxPzwnvVKUpTaH06m1dMm6EpSFC4lRuPsyNE4MXw8PhwwDbv6zMPGwEVIbL4YyzsuwX92WoIVjy/Bmq5Z2NwjQ93DeyEhVu0zf5gViJIVnVC2qj0qslsrfZgvNdMC+s4mSgZ9TzPlNfBeS8UQ7W+P2oOdldfN0d5KHApQPr63lfL1u6gyU/L6cLw2ql5qhsqcluqOWbJqj4Z0Enk9MmwgvDLsE9IEiY4ZQBdpU64DxF+xCOgE6m0L6B7WJl1AZ7TJCNDp93WS+b6SFKW2Wx0cmIJtzOXx58MmqJ97u6+S9d35xHwnbSKtXqTyi2wuIfNGiD6x2kRnx9lnpXWJ/FnfTBiq/h1IC9WZuHgcHJiibgRZ132xqk3LO9ZpE3l9Ho6chPPxcbg+KRLfzg5Vtal8dTtUZLdWd5w7adNuf+Vnv6dZnTZ90FbpR2e16YO2da+VXU3qLm+o14dGmzhtd1KbZOiH1Ca7HQnoPnbcAfSNLgA6WWuz1Sqg35pmCdBVE1RPgK4xQkaAvqKTshuVBXUBoBMjREfBrL7qCi8a0A9FTsae0Nl4PzwVhyInqztWPxv0DN4Mmav+nF6jTNCZuHhcSIjF+fg4nB05WoX5I4OT1ew7GW5Dl8GTMvWrE4fg8vjhODtyNL6MTcC50U/h3OincCEhVh2MQzL3lxKj1QnAhyIn409hM7ExcBFWdV6ivtayuy3Grx9fgjmPPYt13Rdjc48M7A+fjrMjR+NKUhRuTx2glgn+sCRAyWCv6ITSlR20Jii3ufIzc2QqarYpP9/a1ylD9E4L5XVBIP1QgGKGDgcpr6WjvdXXlWb3+c4myuuEboF4uSmqcptrYL1sVXvNz3tP6Gz8W+M2NhBfGfYIaYJExx1A3+Co7LIK6BsCFwkBXdUms4BupE31BOh62sQDdFqbjC6P2YnrRJvoFV4Xx4xQh8e9ETIXW4PTcXBgiqpNpGd9Y+AirO22GK/2WqAORCXaRLLCnw+boG7mODF8vEab2DL4mykDcS15sPr9iTZ9NWqkkzaRKetEmz55MgXbe6dhfUAmfuOYLbI+QCkX//XjS5DUIgvZjtLxN0Pm4svYBFxJisKtKRFqjzlXm9a2cdamLU1c1qaao72V19TBzsrXMtpEvz5UbaJW7dE/bwnoMrQhtcluRwK6jx1XAZ0EgXCzgL6VMkE/N0Bn+/24gO64uTYCdN40dZKlJqXmNKCTYWkXEmI1K8e+GjVSzazv6jNP/TntfGI+8oc8jZPR43A0aiL29U/Fa4594a9RQ84+HzZBNUEExC+OGYEvohNxIGIKDkRMwccRU/HZoGeQP+RpfBGdqJbNn4+Pw8UxI3A+Pg5fxibgkydT8FboHLz2xHxkd1uM33RegrXdFuOFLllY1lGB8Z1PzMe7YbPwfniquk/3ZspAFMwIc5rm+zArEEVLu6F4eRfFBDlKzCvWtlF+HqwRIhkGKgNe9WILVKxtg+qXmyqvATJBNz8Y1cf7KK+rk/1QfbKfUvb+aVfFWJMMxm5/5fdtV14vZIqyCNCLl3fBkKbzbCC+MuwR0gSJjjuAntcjgwvotDY1CKDzhsQ1NKDrXB7zAJ1UTNHapNm84QB0smaMDEs7Hx+nbtkg2kSy50Sb1nZT5gYcjpykThv/U9hMbAlOR16PDCdt+mrUSFWbvpkwFF+NGonPBj2DjyOmqutHjbTpVMxYHByYol4e/LZLlkabnu3wrPpce0Jn409hM/GnsJn4emyMqk10xp7WJrr9qWxVe7E2bVV+tuRnXJ3nr2pH9ctNlZ8/0abDQXXa5AhVm8jridWmLU10tUlm0GU4h9Qmux0J6D523AH0zZQJMgL0XMdAuS1mAf3hc8rArvsZKCmY4x1Af+vRegF0jREykUGng508ywI6WVNDD9e5m9of1ydFqtlqkr14u6+SWf9s0DP4fNgEnB4xBp8Pm4D94dOxJTgd2d2UlXmvPTEfb/edrfk6klXPcwz4Ie0Nrz0xHx8OmIZDkZPVybwkk34yehwORU7GgYgp2B8+HTt6p6nljWu7LcbabouxredCvBs2C4cjJ+GL6ERcHj9cLaW/NSWibuI80/NOMhTFy7so/5YrOtWVuBMTtK6V+jOqyG6N0pUdULS0G+5MD1cvJr6MTcD1SZEoXdlByWDsa4Oa/GBUno1C2dUkpbXC0V5RfmlUXX86yabvaaYB9OqXm2pMEK/UXQK6jLqQJkh03AH0zZ4A9OvJP01AZ9asuQPoVrWJru66NSVCs9aTDH67PilSc3n82aBnsCd0Nl7puVAtez89YgyODU3Cvv6p6s9vU9Ai7OidhrdC5+CTJ1NwbGgSTo8Ygy+iE7G33wzkOuYOkNWvO3qn4cMB0zSAfnbkaFX3PnkyBQcipuD98FRs752GF7oobWEvdMlSf53XI0PdVU4G2fG0iQb0woxgrTY59InVpsqclqpWlK7sgAcLeuHL2AQcGZys9q9/M2EoSlZ0UuB9byvUHApA1alwZajpzRSU3pqmvPZYbSKtWQaXx3Rbw93U/nii2WQbvCfKsEdIbbLbkYDuY6c+AJ0Yn3XdF5sHdMe0UsuATkq+zAI6bYQ8Deg8I6RngpidrSITRAebuSAT0gmgn4+PU8v6SJ85PWzu82ET8H54Kjb3yECuYw3L/vDpann7ieHjcThyEt4Nm4VXei7EbzovwW8cQ3G2BKfj7b6z1a89ExePsyNH40xcPE4MH4/PBj2D/eHT8X54Kvb1T8UbIXOxvXca3g2bhfwhT+NCQqz6PPSkXno/7t3U/pped80aHUd2gv73JOWaJc91RmFGsLr/9Xx8HI4MTsaHA6apWZDTI8bgZspAFC/vgtrd/qg6FY7S68mK+easWlP3zZJshQlAV/v9qJ/1/2fv3aNrvvP9f0wn7jlq1FHjkotESISQCkFuRRIRUTTu4hISEVPtV09/tONwrLRa5cSyorWUZdpOr0arrUNrUovWwVLjUqlxraFVl9Jc5D5nXr8/Pp/Xe78+78/7/dmfvbMju/b7vdZ7lSSSD0n38/l4XRWgq+u4ygTJjruAjpVdrgA6r01lz3SHqm/j4Z//etsjgG65Zk0E6Bg8dgHQa15p6xKgN4Y20XVot+f3dmwlEWgT6tI3iSlwJiXRsEqU16aVut7sHDAd9j6WCYdGpLM2Kdxa8uzvHdq0NmghbO87l5XCf5OYwgLHIm3aEpYNG0Ny4P3IWfBuvyz4JjHFMHsFtQl1CXXq+qx+DjDntIkHdFyzWvZMd7iTGwI35oTDpQlD4Gj8GPhyyATYFTUN3o6YDe/20yoELk0YAqVP9dQy6l/11bTpzhLtZ5BsE6i4OtWoTVzwGMvdhYCutEld6VXa5G3H5wH96aeftn0fhOMOoBfqBshVQHcpg+4qoB/u3ziAzvUYu1RG6AKg00yFyAThuhta+o4rZESAjkN6cKgbro65OnkQy2CgCfps0BQ2dRZB/kxKIpwYORqOxKUxQH+993xY2XMRbAnLht2DJrMSw+/GxMN3Y+INvYJonj4bNAWKYybCsYRUVo5IMxBYCokXh/zQkna23i03BO7mBxlMUOmSHlrppW54MEtzJTOalfmfGv0420V+Ni0Ork4eBHfygqFuQ0stK1EcDNUnYqHiSiaU3cxlcE5/Dsuvz4Z7FzOg+tRwB6B/3MlkgnhAZ20NygSpK7z2TZCvahMFdJzQbgXohS4AOs5EEQF69YlYMaDbWQFqB9BRmx4QQEdtolcE6HSlJq9NlyYMMWjTJwOnsgor3KNekpoAJ0aOhsNxYw3B4+e758Pz3fPh/chZcHBYBltvhtqEwQDUpk8GToU90Zms1x1L1mlFGl0DSleQOtUm1KenesLPOaFwfUYkCzxfnhhj0qYDsePhQOx4uJIZDXdyQ6B6tfbzgNVcTJtKl5m1iQ8eSwDdoE2k7U5pk7riqwDd247PA3pCQoKtm5iY2NSP6pHjDqCj+aEmSAbouI+7UQCdmqBfG6CT3i+ngI4r2HRQ53e88kPk+AE+CLwU0LGXnA5/QzOCJglLEA8Oy2A9gSWpCWzaO34sDoDDnr7TyUlwJiWRwfgP06KYOaOljlj6yJex82YPV/1gYAIzM7giB6cHi1bkXBw/FH6YFgU/54RCxXOPQs2adtpAnu0anNd/3gNqD0VA1bfxbA96ecUquFe9zvizeCNbAbq6jXDtmyBf1SZXAB3h3BVtelEA6KVP9YSa4zHeDej8EDBPATrRJn6Su1NtIn3pfPCYahN7u0CbUEtKUhPg8sQYw05yzLBj//r+oU+wUvVTox9nWibSplOjH2cVZQjjCNy8NqEmIahfnxFp2FiCQQnUY5E2XcmMZppEJ86jLqGO3p7fW6xNe7pB7Vd9ofrUcLYHvbxiFVRUvWyo5rAVPOZ70BWgq+v0KkD3tuPzgO5rp7EBHYe7uNyD3hiAvrOjfUDnMxVWgM6vs/EAoBv6/PTSOQRzHtCxzB0H1Jh6AnUThGaDwjHujaVZ90sThrCJ6+fSR8DF8UNNvYTXpgxkU3JxSA9dc2MyYvrXEO1Yp6twqPnBv9ut7DC4MSecZVqwFBIvv74N1/H8lBUBP+eEQumSHlCxrAtUr+4Atetbaf18b7eB+l2doW5/CNQcj4HKcylQdiMbykqXQUXVy1BZswHuVa+D8nsFWikhAfTar/pKTZAQ0LnVesoEqeu4ygTJjruA7krwGD8fD+i/LA5sOKCTNWsM0EXaJAN0HPJlE9Bd7UF3F9CF2mQB6Lw2GdqyCKCjPrGAra4TNJON2kSnsNPJ7SJtOj9uGAN91CbUFF6b8OuKtAn/DlSj6Pq2q5MHGQLFVJuoRjrVpu0tof7jTlBXHGytTdhuwQePRRl0iTbhbBQsyVfapK7jKm3ytqMAXXBKSkpgz549sGvXLnY/+eSTpn4sjxxvA3QmPI1R4m4T0IWlhBJAF+6bFQC6aRCPDNDJQJ67+UG2AF10+YFyP2VFwI054QbgxbJDfqgPGhUs46MliphtQMjHcnkt2LMAACAASURBVD8+OIDmhWby6RR2PktOTdDNuX3ZM13JjIbLE2PYznQ0PdT4nEsfAefSRzAjdm3KQPgpKwJuZYdpO2iXdoPKFZ2g5pW22s7Zd9pqcF4cDLWH+0PVt/Fw72IGK293ZoLsAHr16g6GSbn0+6xMkLqO2zAT5Ava5Aqgu6JN63vlsp52CugbQ3I8DuiWa9asqrtEgP6ak+ouqksybSKAjr3RdgCd6pIdQLfSJqYreuWUaJ4Kbdmig9mw150vn6cZ8B+mRbGKLGfaxAM5nymnq+XoGjkMFrujTXfygqHsme5Q+cIjULOmneY93mkL9Z92MWuTBaCXX5+tlbjbyKDTFaAK0NW1vgrQve0oQCfn0qVLEBkZCc2bN4cWLVpA8+bN2a9btGjR1I/nkeMKoNP1Na6YIPx8MkCv+7/tUPvPrVBVV+QaoNvJoFMT1AgZdEtAd8cE6T3VTgHdCaRTU4HgS80JA3Qd3vmMNs0cUCNFB7axNXD4XFw/oqhfnjdK9HnQiF2eGGMqV8cVb3TwHZbSY58hmqAfpkXB7fm9oXRJD2Z+6jbo39932mo/B7iu5j4AOs2gly7poUyQuuS6Z4J8SZtcAXQc/GZHm9YFL/QMoOMkbR3Qq08N9zygb/E8oNPMuSvaJAR0LnjsEW3Sg8d4UXdoINcA8wT0eZ0UaZOoZ55/P+ofahMNFFNtwlJ6qk24yg216dKEIXBtykC4Obev5n2Wd4aal9pD3UZ997mVNhFAv1e9zjqDjgNMyU702sJW0jVr9PustEldx1WA7m1HATo5Y8eOhYyMDLh16xa0a9cOvvvuO/jqq69g8ODBcPDgwaZ+PI8cVwEdB7/hgB27JshOBr3JAZ03QR4AdFZCKDFBht4+iww6/ldmPGQmiDcc1ATRjLbIKNGPxd/j12fPwz2L4ervo8OE+AwKzUTQTDlmIbBXHocCHRyWAV8PHwdH48fAiZGj4XRyEptOj73mZc901zLmL7XXygY36pURvAnaH2I2Qa4COjFBCtDVdf26Z4J8SZtcAfRNDQD0jRJAF7Zf3c7XtIkD9KqSJM8D+lY/+9rE65JIm2jg2ALQRdokAnTTfBSbwWMrbeKDxbw20UowrN5ypk3sYyyeFbXp+qx+bKCbTJvOjxsGJakJcDwpmQ15+3r4OLbO7XRyEoNz7DVn1VxEm+peI9q0o4M8eGwF6KIMOqdNfAadapMCdHXNVwG6tx0F6OT87ne/g1OnTgEAgL+/P/z9738HAIDi4mIYMGBAUz6ax05jAPqLgXls1c19B3QrE+QmoLM+PzqMRwbosh4/3gTpk3JlgG4wQSJT0QBAF2UQRB/PhrTpE2r5a3gWcllGhZglOjAIS9dpBgJ/fSEjFs6kJLK963uiM+GzQVNg72OZsPexTNgXMwkOjUhnE+GvTRkIt7LDtF6+5x517Jot8IeaNe2gtrCVNnhns97b91577WdhTzczoOsZ9HvV64w96NyQOFEGnV+zJgN0VUaorvG6Z4J8SZvsAvr6XrlCQF/fK7dxAf1KJtMmA6C7ok1WQ+IsAN2kTVaAzsG5FNAxmEiGwkkBXRKUtQJ0HridaZPs46k2Ub2x0ibR++i0eZwyTwe5XZowhJWyn05OYqtHd0VNgx39Zxi06UDsePgmMQXOpY+AK5nRWrac16bVHTRtosFjK226kOY8eKwDuil4vNXPEDzGnwcVPFbX+VWA7m1HATo5HTp0gEuXLgEAQFBQEHz55ZcAAHDx4kVo3bp1Uz6ax05jAXqhDUAvX9oNKs+Ocl7irmcpPA7oCOcyQOdX2VgAOkalKZxLAZ1fYSMxQcLsNAfoFLBdAXQroBdlGmSALjI8tOQRp9rSPkIsY0cThKWBxxJSYV/MJNjedy67b4XPgR39Z8C+mElwJC4NzqQkwveTBsP1Wf3g55xQ+GVxIJQ9053tP6984RGoWvWwlqF4tTXUbdAyCPVb/bTv9wf+rgO6jRL3+s32Muhlz3SHxNY5XiC+6nrHdc8E+ZI22QV01CJngM4Hj2Ul7tWnhnse0EV70EWAzrdeybRpvQDQuQGmTJtEusQBumEmigWgSyunOG0S6Y0dbZIFj03aRILHLgE60SYcQifSpvPjhsHp5CQ4HDcWdvSfAVvCsmFzWDa80Wce/Cl8DnwYORO+GPwkFMdMhFOjH4fLE2OYNpU+1dOgTTR4LNUmWuKubxexpU0U0OmQOA7QmTaR1jsF6OqKrwJ0bzsK0MkZPnw4fPTRRwAAMHXqVEhJSYGvv/4aZs2aBeHh4U38dJ45TQroz3aFqpIkjwG6cFKuyATx2XMRoBcJ4FwA6KLsBG+EcBiL3d3nJmMhKB/HzIIMul0FdP6KAF2UheDNEF8miJPXcQov/vf8uGFwctRI2D/0CXgrfA4U6gObNoUugJeDFsL2vnNhR/8ZsH/oE3AmJRGuZEbD9Vn9DP2Fd/ODoHRJDyhf2s0E5zWvtNWy51hC2BBAL10GZTdzPdaD/uP0AdC8eWsvEGB1m/66Z4J8SZvsAnpR6AJ4vfd8p4COw0utAL10SQ+4dyHNY4AuXLNmR5tEgG6lTRygi+CcB3SXtUnQZiXSJtEwUF6bRG1VIkCXahMftLbIluOfvzm3L5v2jptL6Dq38+OGweG4sbAvZhJsDMmB5d0Ww7pg7efrxcA82BS6AN6PnAW7B02GI3Fp8P2kwfBTVoShBexOXrAB0CtfeASqVnZ0aNP6Vq4Fj0UZdBmgU23SAR170FUGXV37VwG6tx0F6OTs3bsX/vKXvwCANpSnT58+0Lx5c+jUqRMUFxc38dN55rgK6BudAPqqnotgTaDZBPGA/nrv+Vqv8LkUOaDjIB47Je6yVTbuADotH5QBOg/nEhPEZ09FJogaH4MBkQy5oUNyZCbIWRmhKLtBM/LCnnIZrHPZCHqpCbqQEQslqQlwaEQ6vNsvi5WU/r+ui+H/dV0Mhb1yYUf/GbB70GQ4OWokXJ4YAz9OH8Cm3rIMCsL5Uz2h/NmuDjgn5YMmQN/WUvue2zBBTgH9UITQBNkF9Jtz+ypAV1e/7pkgX9ImO4C+LlgL7jkDdJk28YBe8dyj1itAuSnuFNBt70Hntem99g5dkgG6DM65Evfq1R1M20SEgWO9zcpKm+7mB5kBWaBNVJPsahOvUXSVmSyQLJoWLwJ11Knb83uzeSd01ShmzHG/+unkJNg5YDq8E5EFK3rkw+qARfCHLn+AZx5dDGsC82BLWDbsipoGR+LS4EJGLPw4fYChT56W3P+yOFCsTSJA39bSCOg4H+VQBFSfGu6aNmEGnStxry1sxUrcZStAS5f0gA8jZ0KzZn5e8LqobtNfBejedhSgOzl37tyBf/3rX039GB47rq5ZwyyFFaC/HLTQKaBvDstmWYoGAbqzXbNogqz6zwmgGwyQANANcE4NEGeCMDPBshACE1S6pAfczQ9iGWfZdHSEX5xYS1fS8Hta6d5ZEaDTATsUeq2u6ZnIc/GZ8u8nDWbrcHDq7enkJNg/9AnY1mceFARoP1drgxbC893zYX2vXCgKXQCfDZoCp5OT2CoauhqO7tFFMMd/SzRAlSs6Gfv7Xm3NAJ0NiOMB/UCYxwFdtMqGD9Lcyg5TgK6ufj1ngh5UbbID6Nh/7gzQEcCtAH1T6AItw8zNR7ED6Hzw2DC8VAboqE1Ul6g26YBu0iYRoJMp3TJtwundNDsu0yYcxCbUJh1+UQPwNZsfLIq6g9rE65ZIm/jd6aJsOt+LzpfX35zbF67PiGR70VGbENQvjh8KJ0eNhC8GPwnrghdCQYD2c7AueCEs76ZB+Ys6mJ8YOZptCBFp0+35vQ1Zc9Sme8s7G7WJAroseGx3gKmbGXQrQFfapK7jKkD3tqMA3cfO/Qb0Qn0n+ia9B90WoFuVuB+LNpsgHtBphuKdtmJA3+Lo7TPAOdd/buo350wQMz9kXZoI0NH8UOimJggzDRj5x53jPKDTXef4ftGqNPw4/Dp8QICWpvPPIvoYug/92pSBBhN0acIQOJc+Ao7Gj4H3I2fBptAFsKJHPizvthie754Pa4MWwoeRM2HngOlwOjmJrZ9ha3W4vycasF8WB7J/x7JnurMMBTNBqx5mJsgpoO/uah/Q+R50HtAFk3KtetBvz++tTJC6+lUmSHY8nUFf2XMRqwKzAvTNYdmeAfRj0Y4J7lbaJAocc4DOKnQkgWOmTXzQmAP0iuceZUNImTZxgP7L4kD2Gi/SJgTg67P6GXaTU0DntQnfLwJ0qk1Un/iSd6pNfPAZnwnnnaAmYaAYtenyxBg4nZwEex/LhG195sHKnotgebfFTJtW9VwEb/SZB+9HzoKvh49j20F4baLrRoXaJAN0rO7iAZ3PoOvahBn08uuz3dMmJ8Fjfg+60iZ1HVdpk7cdBejc+etf/wrLli2DefPmwZw5cwz3QTieBPTVAYugICCPDeyRAfqLgXmsB73RAV00gIcH9K3c2hoBoNesaceGqwgN0IpOmvnRMw+01I2f0H5zbl9WXocReWo8sEcOh9WwrDIxB1hOTj8Pb4JE8I7Ggr80Q0/NB5oonHDLZyPQBH0/aTCcTYuDo/Fj4E/hc6BI/5lY0SMfVvZcBKsDFsH2vnPhi8FPwjeJKXBpwhDDc1ODhyaPX51DTVD50m62Ad3KBNUcjTIAennFKteGxL3XXtqDXrWyoxDQVZZCXcd13wT5ijZ5CtBXByyC9b1yLQF9TWAevN57vmcAna5YE2nTrs6OwDEFdK4HHXVJCuivttagC7PkAm26t7wzlC7pYSrDNujTUz3hxpxwuJIZDVcyow2vyTTo+8O0KLZqDLWJfixCMg5eo9pEAfzGnHBNl/RLs9JUC1ET6OengI9BbHxuXpuuZEbDd2Pi4UDseNjWZx5sCMmBgoA8pk2oT+9EZMGxhFS4kBELVycPYrr04/QBBv3ktQkHo5qCxzi4VNcmw3wULHEvEmjTp11YBp2WuDvVphOxxiFxnDbx1X+oTbStQWmTuo6rAN3bjgJ0clauXAktWrSAwYMHQ0ZGBowfP95wH4TjSUAvCMhja2xkJsgZoDMTdHepJaBXnxou3oFOTdDurppQyQB9u6OsvbawldgE6ZkJLFtHGOTNT/nSbnAnN8SwL5wCOmbMv580GL4bEw8Xxw+FK5nRhpK56zMi4UpmNJxLHwFnUhLh1OjH4fy4YQYThLtZcUc4/TzUSNCp6fR9aHDwYwwmhJQp4sU95efHDYPz44bBpQlD4PtJg9m9OH4onBg5Gj4bNAXeCp8DBQF5sLLnIjYteUtYNrwfOQtOjX6cZcrxefjnujm3r7CnECfz8oCOk4dNgI4l7laDeCRlhO4CumiKuzJB6jq/7pkgX9Imu0PinAE6rv+0AvSCABuAfnepNlBSAujVp4Y7AscyQN/d1ahLIkDf6ggYywC9usCflSrfW95ZCOjlS7sx2OW1Ce/NuX3ZikuRNv2UFcHalb5JTIHTyUlMDxBmf5gWBZcmDIGzaXFwNi3OrE26viBMfz9psFCbMBhMZ5ngn0XIR226PDEGzqbFwYWMWIM2XcmMhovjh8LhuLGwK2oarAnMYxlyLGVfG7QQ3onIgkMj0ln5upU2sSFw3AR5HtCpNtHhpcIe9CKiTbhmTaBNtjLoJ2KNGXQbgI4ZdKVN6pqvAnRvOwrQyenSpQu8+eabTf0YjXqaCtA3NQDQq0qSjP3noj6/3V0dGYoP/MVlhATOhSZIh3McpkNhkGXNl3WBXxYHMui9MSfcZIJuZYfB1cmD4Lsx8XBi5GiTCcLdqydGjoYDsePh4LAM+CYxhQE6ZtFx8vmRuDQ4MXK0AfQxU3Bx/FA4lz6CwTs1QWg8cFLtxfFDGcCjCUKwvzh+KHw3Jp6ZrbNpcexZLo4fCiWpCXAkLg129J8Bm/TptqsDtD7P9b1yYeeA6XA0fgycSx/hyP6TsniaUZGtz2kwoIumuFuYIJdL3Hd1lgI6lhEqQFfX+rpngnxJm+wA+stOAH11gDa81ArQ1/fKdQroZeV/ZNtFpICO2XMZoGNlF9UlXpu2kh3nEkCvXt2BVeaIAP3e8s5wJzeEvfYaytRxHWZuCOvFPp6UzLQJdQODxp8NmgIfRU2H/UOfgG8SU+DkqJFMDzCo/PXwcfD18HFwPCmZATp+nmtTBsL5ccPgTEqiUJtQGy5PjGHv57UJ+8nPpY+A08lJQm26PDEGSlIT4JOBU2FLWLaht/yP3bXBb1vCsuFA7Hg4nZzkKF/ntWlGpLU2cSveLAGd0yZXAN2lEneaQRcEjxHQsdqClrjjVQNM1XVcBejedhSgk9OxY0e4ePFiUz9Gox40QV3bxkOntoOlgP6yboJkgL5eB280Uc5K3K0Avaz8j1JArzyXYh4QxwE6gyeaPed3zG5xAJUI0GteaQuVLzzC9sHyJghLBjGzcHXyIJOo357fG36YFgXfJKbAkbg0OJaQajJBlyYMgZOjRsLuQZOhKHQBvBORBV8OmcAA/WxaHJwa/TgcHJYBOwdMhw8jZ8L+oU/A8aRk+G5MPFzIiIULGbFwavTjcGhEOhyIHQ/fJKYweMdyPwTuMymJcHLUSDiTkggXMmINcH8hI5btIz8SlwbfJKZASWoCnE2LY3/2xMjRsH/oE/Cn8DnwYmAemzmwMSQH3gqfA0fjx8CFjFg26I317nEZEFOZoMXqHL5VwFDi7iyDvtHPaIK4DDpf4i4zQeXXZ4v7/KgJ2ugnNEEI6LSMVJkgdbXrngnyJW1yBugv2wB0/FgrQEeYY4Au0iay/lM4xf3beKMu8YC+L9DYdiUC9C1+2uuX/hpGIR0Dx/eWdzb2jz/b1QHoum7hIDSRNv2cEwoXxw+FfTGTYP/QJ5g2nU5OggsZsUybimMmwrpgbQgf1aaTo0bCufQRcDwpGXZFTYMNITlMm1B/UJsOx42Fj6KmQ3HMRDiWkCrUJtQWDGCjNtGA8omRo+HQiHSmpd+NiWf3TEoifJOYAnuiM+GNPvNgdYBWuo4/H5v1Cexn0+IMUM50SVbCbrHNRNYqYKlNdjPoxcEseFxxeYJzbbqQ5gB0Jxl0pU3q2rsK0L3tKEAn5z/+4z/gv/7rv5r6MRr1oAl6MWgu/MfvFwsBHcHbCtA3hOQwsyMCdN5giQC9smaDJjpWgE7L20WAjtlzHs4poG9xrB3hAb22sBXUvNQeKl94xCC8FNArnnsU7uYHsWg+9qyhCcIBO+fHDYMvBj8JO/rPgC+HTDAA+rn0ESwL/Xrv+bBKH2D0dsRsgwk6EpcGOwdMh8JeubAueCG8HzmLmaDTyUlwPCkZ9sVMgi1h2bCtzzz4YvCTzLycHzcMzqbFwZG4NPhi8JPs86IJwix6SWoCfD18HHwx+EkojpkIB4dlwOG4sfBNYgoD+kMj0uGLwU/C7kGT4d1+WbAlLBsKAvJgc1g27H0sE04nJ7FMOe0ZxH8Tanosd9o6A3RXTZAsg66vWUNAt2WCLIbE8YAuGhKHJuhOXjDMf+QPXiDA6jb9dc8E+ZI2eQugs40OEkBn2XMZoBcHa4PhdnSQA/oW/TXklbZCQK95pS2UPdPdUVYtAPRb2WFQkpoAp5OTGKD/OH0AA/Qbc8Lhs0FTYFPoAni3nwbdR+PHME3BQO0Xg59kwz3XBS+Et8LnQHHMRKYhB4dlwBt95sGqnosYwKM2nUlJZOs0CwK0SeioTSWpCSxgvPexTNg5YDrsi5kExxJS4cTI0Yby+ZOjRkJxzETYFTUN9sVMYtqEnweD13uiM9mKNNSmlT0XwY7+Mwy7ynlt4lurXNImK0AnM1JcBnSiTYYMeukyozbplYYGbUJA39nROMBUoE10irsCdHXNVwG6tx2fB/Snn36a3aeeego6dOgAcXFxkJ+fb3jf008/3dSP6pHjCqCv0XvHZYCOf04G6GsaAuhXMo3l7SJALw7W4BwzFLwJ0rMTNa+0dZSaEUCvXa+VDWIZssgElS7pAddnREJJagIcS0hlhgZN0PUZkXB5YgwciUuDdcHa3xuhm2YpTo4aCV8PHwcfRU2HFT3y4fnu+QzAD41IZyWH+2ImweawbAbwH0bOhIPDMuBIXBociB0PH0bOhEK9NHOzboKOxo9hme71Othv7zsX9j6WyZ7hm8QUODgsAz6Kmg6bQhfA2xGzYUf/GfDF4Cfh6+Hj4EhcGrtfDpkAnwycCjsHTIePoqbDzgHTYUf/GSxb/sO0KOk03lvZYWzKLd33zpsdkylyA9CrV3eA6gJ/twDdrRJ33gRhlmJNO21ugQTQS5f0gI+ipnuBAKvb9Ne+CfJVbWoooNPgsQzQX9YHzSGglz3THSrPpTBtMgwv5QH96lT22kAB3TAkbn+IMXAsquza4qe9duHrFwfo1QX+8HNOKPyUFcFeF6k2lS/tBlcyo+HgsAw4Gj8GTo1+3KBNP2VFwPlxw+DtiNnwx+758GJgHrwTkcU0AwH9WEIqfDlkAnwYOZMB+togDdD3D30CTowcDceTkmH3oMmG4DK+/0hcGuyLmQRvhc+BtUHa8NjNYdmwJzqTadOe6Ez2fdzWZx7sHjSZadOxhFTYP/QJ2KB//96OmA0fRs6ELwY/yQD9SFwaHBqRDvtiJsGuqGmwc4CmS+9HzoJ3+2XBnuhMOJsWB9dnRBq0CQEdg8ao8ahNon3v0h3wIm16qqcB0A3a1ABAF2qT/vPIAJ1m0EXatKad0+CxKnFX13EVoHvb8XlAT0hIsHUTExOb+lE9cu4HoONFEyQC9Or6zQ7RkQB65bkUhwmigH4oQjNAOBlXZILeaQv1m/20iewvtTcCOk7CXdkR7uYHMTNDAR0zn5cnxsDexzJhX8wkOBKXZgD0q5MHwflxw6A4ZiLb810QkAdvR8yG/UOfYKXlZ1IS4Wj8GPhyyATYOcAB6B9GzmTZ7zMpiXA8KRm+GPwkvN57PsuuH4gdz0r99j6WCW9HzGb/pu9EZMGB2PFwaEQ6FMdMhM1h2bC822J4MTCPZdePxo9hgQHszSzslQtvhc+BXVHTYP/QJ5hZOxw3FvYPfQK+GPwkfDJwKuweNBkOjUiHktQErWKATIzn99jiznJqgNwBdEOPn11A50vcGwropcvkQ+IsAJ2f4k4BfecABejq/gZcMUG+qk3OAL0gIK9BgI7XCtANE9wFGXQMHMsAnU3WlgH6Zj9tPSMNMBJAr1rZkbUiiQD9Tm4IfD18HOwcoJWSI6CfHzeMTTQvSU2ADyNnwuqARfC8Duhvhc9hmzVOJyfB6eQkOBw31qBNy7sthsJeuXBwWAaUpCYwbdoTncmCxxtDcmBfzCT4JjEFDo1Ih92DJsNb4XPY+tXXe8+H4piJ8PXwcbAnOhOKQhcwbXqjzzz4bNAUOBo/Bg4Oy4A/hc+B1QGOqftvhc+B9yNnQXHMRFbefmhEOuwf+gTsfSyTBY+/HDIBjiclw+WJMYZp8Liije5Wd0ebrIaXmlbWibTJWXXXO22tAb10mXEPup0MOrdmreal9obgMV2zVvpUT7iTGwIT/PO94HVR3aa/CtC97fg8oPvauR+Avr5XrgHWXQX0iqtTHdlzEaB/1VcrbUc4500Q9vXpGXKEOGaC9J6+yxNj4Lsx8awcjg3SyQuGm3P7wrn0EfB+5Cx4P3KWCdBxei0OTlsbtBD+2D0f1gTmwWeDpsCJkaPhQkYsG5SDgI4Z7AOx41lZH07TxQz6rqhpcCB2POvNw/LBvY9lwrv9smBT6AJmyo4nJcOhEenMPK3okQ9FoQtgV9Q0+Hr4ODgaPwb2xUyCbX3msaF+b/SZx/4+x5OSWYbkcNxYOBA7npVAnh83DK5NGWhah4MlgnQlGhoXPkMhKxd0CdCpCbJas+YqoN/MdR3QXVizxgD9qZ4K0NXVrzJBsmMX0FcHLDIAOq9NRaELLAEdq4wQ0ItCFxgA3bRi7c4SQ/CYZs9FgM6ASQboW/3YfmoG6CTIWP5sV/huTDycTk5yADopr745ty+8E5EFG0Ny4N1+WQxk6RaQMymJcCB2PLwfOQsKAvIMwWPc943ahIC+K2oarA5YBO/2y4IzKYnw/aTBBm36YvCTsL3vXLal4+L4oWwWyt7HMtkzbQnLhsNxY+F4UjID9E2hC+D57vnwctBCeLdfFqva2vuYplsFAdp8E+xt57UJ561gSxb2lov2qbPp61zWm/81tl851SaBzskAXVTibtowskWsTWxI3IU0eQZdtGEEh8SJgseCKe6oTfh3UNqkrnaVNnnbUYBOzj/+8Q/417/+JX3fg3A8Bei0189VQMfydmaCeEDXs+dV38abAL32cH8znFMThD3n+q5YZoJ0QK9Z0w7uLe8M16YMhGMJqXBq9OMOQNfF+PqMSDg1+nEo7JULhXqvHfbMYT/d+XHD4NTox+Hr4eMYoK/quQg+GTgVSlIT2E7YCxmxUJKawDLZx5OSDTvBcWhOSWoCnBw1kk3LxSwImi3MIByOG8ueAQfKHY4bC3sfy4Qd/WfA3scyWXbk5KiRcDR+DHwx+El4o8882BS6AD6Kmg6nk5OgJDWBmUAc1oOT4q9OHsR69fg9tXQiMF4e0KnRaQigC00QBfSVHT0P6JwJqvo23jmgr2knBXRlgtQ1XvdMkC9pkycBXaRNG4k24bo1BHSTNnGAXnF1qkGXmDbpgF5XHOzQIhGgb/WDqpUdjdpEKrxuz+8NXw8fB/uHPgGnk5Pg+0mD4fqsfgzQf5gWBXsfy4S1QQuZNu19LJMB+oWMWDibFsc2hLwfOQte1FeOFYUugONJyYZBbDR4jNVUuAEEt4TgQLcjcWlQkprAdOvyxBiWgf9i8JPwxeAn4eSokXBpwhA4lz6CzTLZ+5g2yO2NPvPg0Ih0NucEZ6Vs6zMP1vfKhXf7ZcHhuLFsSOmp0Y8zQD8SlwYnR400ZMv5/yKY87pk0iYC5iKNwoGvvD7xn0+aqAdNkQAAIABJREFUQX/hEYM2GUrceW3a2dEA6Lw22c6gU0AvMgeP+Q0jpU/1VNqkLncVoHvbUYBOTosWLeDmzZumt//888/QokWLJngiz5/GBnQsHdzoJqBjhqKqJMkM6EejoO5AmDZ4B40Pb4K2ab1XGMWmJqi6wB/Kl3Zjg2i+HDLBAOi35/eG67P6wdm0OPhs0BRYF+wwQcUxE9lu7+8nDWYGBMsMt/WZBweHZWiGSl/hQgEdh7Th8B7c/YqAfi59BFyaMIQNsrk+q58B0HGQDp10ey59BJwa/TgcS0hlwYPz44bBhYxY+G5MPAP0g8My4OCwDPb8uMLtbFocK3PE4UI41RYvD+ZU2EWAjqWEvAnigdyqjJDCv2GSOwV0V0yQqxl0K0DnshQyE6QAXV3xdc8E+ZI2NSagF/bKhSJ9TagI0KvqiuBe9TojoJPgMU5uNwH6sWgte76zo/aaI9KmrX6O1y4BoJcu6cHai7BF6vLEGAboP04fAN8kprCAMLZBYVD28sQYticctWlH/xmwLnghbAnLhvPjhhlWa6I2HUtIhZOjRrLZIrw24RR2pk36+jNccXY0fgwL7OIKUdQmrMrCwDOvTcUxE2FfzCQ4MXI0e36qTSdHjYSzaXFwJTOa9ZHTHnMEcyz/p9pEgZrpkoU2SfWKDIgzAbqFNrHvr01AZ9qEGXTJkDiqTXUHwhztFG5o0y+LA2FH/xle8LqobtNfBejedhSgk9O8eXO4deuW6e1XrlyBNm3aNMETef40NqDjnlpqghDQK1d00jIQdUViQL+Zayhv5wGdlQ++117LRlATpGcnal5qz4SSmqCqVQ9D6ZIecC59BHw2aAp8MnCqAdBx5crF8UPhWEIq7IqaxrIUnw2aAufSR7ChcAjHJ0eNhMNxY+Fw3Fi4kBHLerRvzAmH6zMimcG5PDEGfpw+gIEuNUHXpgxkZeTY14071rEHESfG02m0uCYNSxrRHGHW42xaHJxJSYSzaXFweWIM2/eKxgpX4uD76JA3vPwOXTQkmDkQZdEpoFNzY8sECQDdsG/WHUD/wF/7+RCtWWsooG/0s22CFKCrq133TJAvaZMVoK8OWMRWPdoF9A3cfBQpoJ8dxV4HTIB+M5f1nosAvfZwf8frgwjQt7dkrwsGQNdfv27O7Qt/Cp8D7/bLYoCO/dUI1dhStXPAdAOgH0tIZavEKBxjb/jR+DEs8ErhG/Xjh2lR7DWZ/xicPSLSpu8nDWbPh29HDTo/bhhbvYYZ+e8nDTZUfp1OToJLE4awfeSoTefHDWMbR36cPsBQwcXrE69NouAx6goFdNFAODuAjp9TqE1Y4u5qBp1bs2aruutCGlSfGu4AdBeCxzSDrgBdXcdVgO5tRwE6OKbltmjRAnJycgzTcf/whz9ATEwMxMbGNvVjeuQ4A3QK6Z4G9KpVD2tDdvSyLR7QMXteeXaUyQjVHu6vQdKODmZA17MTNa+0ZUNQKKBXrewI5Uu7wfeTBsMbfebBOxFZDNBxXdhPWRFsjdrR+DGwK2oaFPbKhfcjZ8G59BGs5Pv6rH4GQP9uTDzLPGBpHAX06zMimZFAQ4AmSLTyhf15PWDAZw0Q0K9NGchMGYI7miPMkl/JjGYD8PD9BujXAwr4ufHXFMxFe8lpb7gU0OklpkdUTijKUkgB3ZkJ4kvccQ+63SFxAhPkTgYdB/EoQFfXeF0zQb6oTY0F6LhdRAboFVenygEds+ciQD8WrbVdvdNWDOjvtIWK5x6FO3nBUL60mzF4vLoD3MkNgT3RmbCtzzwG6HQAGmrO2bQ4OBo/Bj4ZOJUB+tfDx7HXbR7QjyWkwveTBrPXXgRsGhjG7DOvTddnRJq0iQI6XeNG3466h/rCg/vF8UPZznNeuxD6r2RG29ImUTZbFDymH8trU0My6Hfzg+xp05p2tgDdpE2SIXEmbcIM+ttthNpE96DTIXEK0NU1XgXo3nYUoINjWm7z5s0hNjbWMCF39OjRsGDBAjh//nxTP6ZHjjNAp8ZFBOgbLAB9Y0gOg3we0DeHZWug/MNMBkR8nx9mz3lArzkeo0WKd3V2mCAK6O9pPch384PgTm6IAdArV3RicP5h5EwDoB8clgEXMmLZkJmrkwcxQN89aDK8HzkLrk4exMQZS+DRaFybMhB+zgmF0qd6wt38IANgo3mhEX00BLfn9zZE//G58X0GI0LefnNuX9PaGB7cEdrxGfg9sAj+1PDw09h5M2IX0HlYlwK6bHgc6fXjAZ1Ocbc0QU4A3aUshcUedJZB17cE4M8azaBjpkKVuKvruK6ZIF/UJitAx2Fi7gA6lsaLAL1iWRcou50vBfSKK5nCwDFbdfVmK8dkbgroH/hDxbIuLEtdvrQbVCzrwgLHpU/1hIPDMmB737lMm3ZFTWPBY3ytR0D/JjEFPhk4FQp75cKhEenstfpWdpgheHxx/FC4lR0GpUt6MG1iIK3DN30Np9p0c25fgzbR4LFhCBvJujMNImAtAneaETdpk65bfLacapVlP7hFdZeh/YpojQzGRdAunJHCAzo3yV2qTdtbyrXJzpC4C2mOnz0nGXQK6PwAUwXo6jquAnRvOwrQyZk9ezaUl5c3yuc+cOAAjB07Fh599FFo1qwZfPTRR4b3N2vWTHhfeeUV9jE1NTWQn58Pv/vd76BNmzaQnp4O165dc+k5GhPQqTHiAf3tiNlwb3lnKLuZKwZ0XXQqz6UYjdCJWA2QdnfVBOjtNkZAf6ct1G30Y0L/c06oA9BXdoTyZ7vC9Vn94EhcGvwpfI4B0L8bE8+yBBTQv0lMgZOjRsL1Wf1YlJwC+rUpA+FWdhj8sjgQyp7pDmXPdDcAOpomZhr0aDVfKodmAgGdH0hDzQIFaYR3fJsI3NFMifaU82WCeEWT2Q0mSP+7UECn/X5875/lQDge0DkTxPegOwV0qwz6rs4mE1RxeYJrk3IpoG9vCfWbXQP008lJENR2rBeIsLq/RhPkS9rkLqBvcAPQCwLyYENIDlStelgO6DdzzbpEWq/qd3bUXhMEgF6+tBvbhoHBYwT0iucehXPpI2D3oMkmQD8SlwY35oTDndwQE6Dvi5kEx5OSWSaUDx7/OH0Ae83kAf1WdhjTNAppbKinPmcE30cBnbY7uaNNCPeiYLNMm/hgNT9MVLTxQxY8NpS7W81CkWkTV+Fl6kF3NYNuI3hsmUFHbySr7rKhTQrQ1XVcBejedhSgk7Ny5UpYtWqV9Dbk/M///A88//zz8Je//AVEJuinn34y3G3btkHz5s3h0qVL7GNyc3Ph97//Pezbtw/+9re/QWJiIvTv3x/++c9/2n4OrwR0fTIpmiBqhGqORWs7z3kTpO86r3vNDypfeATOpY9gGW0E9IplXeBObgicHzcM9sVMgu1958K2PvNg54DpcHliDMt+38kLZoCOK9Qw20FNDssu5IYwQcaSMRT9u/lBmmDrIsiXkyHUU4PEDAMHp9QsiErw+Ow3D938IB16qfGxs1LGGaCLhvNIy9slJoj/NxDuQZdMca95pS3UFhJA39bSOaDb6EE3ZdDfa+8AdCdr1ui+2bv5QTD94T94gQir+2s0Qb6kTY0B6BtDctj+dF6bXu89H2rWtJMCOmbPRYBev6eb9nogAPTawlZwPCmZATpqE0LcT1kRcGr04wzQt4RlwzsRWXBwWIaW4V7SgwE6Bo9xmBpdl0UB/fb83g5t0l+DELLv5AUzmKQaRAOsVtok2iEuKw+ngG6lTXyQWDgDhW+FIhohA3RRBp3fMmI1wNRZ8Jhqk7MNIzVr2hm1yQ6g68FjKaDza9ZwSBynTdUF/sL5KNSXfDZoCrRo7u8Fr43q/hq1SZ3GOwrQyRkwYIDhhoeHQ5s2bcDf3x+ioqI89nVEJog/GRkZkJSUxH5fWloKv/3tb+G9995jb/vxxx+hRYsWsHfvXttfuykAfY0O6FUrO5oAvaz8j9r6mssThIBeVxzMVluZTNC2llC1siOcGDkazqbFmUxQ+dJu8OP0AXAmJZEB+kdR0+HShCHwy+JAZlQooP+UFQGlT/VkgF/+bFeDicHPTd9f9kx3Bt48uFPDg78XmSDRcDRRLzdvKkTmRvZ7/orMieVEdUF5u9XAOCsT5A6gY/mgy4AuMEEuAzpXRogZdNGuWUMZIfnZUYCurrsmyJe0yQrQXwx0HdBRmwoC8oTB47fC50Dt+lZiQL+dz9qumDbpgF57KEJ7jRFp0xY/KElNgC+HTGDB49vze2v68dyjUPpUT7g2ZSCcGv047H0skwH67kGT4W5+kFZy/0x3BujXpgxkgeOqlR2ZvuHry885ofDL4kCofOERhzYRQC99qicrweYB3W1tIlrBa5MoIMwDukib+MCxUDNk2z4EWiRqv5IBOh9kcPZ1eW2yHGAqAnTZHnTZfBRemzCDLtImG3vQqTZNe3ixF7w2qvtr1CZ1Gu8oQHdyysrK4IknnoA333zTY5/TmQm6ceMGPPTQQ/DnP/+Zva24uBiaNWsGd+/eNXxsZGQkrFixQvq5ampqoKysjN1r165BYwA67pcVAfraIG3abHWBv2Z4KKCXLtP2epLydjRBNceiHaXtvAnSV9YcS0iFr4ePMwP6c4+yvbEI6B9GzoSL44dC6ZIeLKKMgI6l7uXPdmUr2vihKhXPPQqVLzwClSs6GYauYKYdRZr+Ocym48eJTBBvKHhAZ8ArAHRqhlwBdEszYrXyTJA1lw2MswvofImhlQligG5lgoqsTRAtIyyvWGU2QXpZa8XlCdIedFEGHX+mDCaIVBUoQFfXkyboQdUmGaCv1a8dQEdN4wG9IEAbWEoB/cPImVJAv3cxw6BLFNDr32kL9Zv9hID+c04o7IqaBsUxE+FsWhxcnTyIAXr5s13hTm4IA/TimInwp/A5sHPAdLg5ty/THho8/nH6ACh9qieDLRo8Ln2qpzYdfkUnR6aUaBD2vbMeZDvaJIFdkTbJgscN0SZ3AV32vM5mo4i+Fj6/M22yWrNm0KYNLc3aRDaMOG2/IoBu0CY6JG6rnyl4jCXu1K8obVK3MbVJHc8cBeg2zrfffgs9e/b02OdzZoJefvllePjhh6G6upq97c9//jP4+fmZPnbUqFGwYMEC6ef6z//8TxD1D3oa0LGU0BVAL69YxUCIB/TqE7FaafsWP7MJ2t4Sagtbwe35veGjqOnw5ZAJDNDv5gcxE3InLxiuTRkIZ1IS4dCIdDgcNxYqlnVhZV8U0H9ZHKi9b3UHtpYNBQ3BvGplR6ha2dEA6GwoDMlcGMCdDI+hJogaIStDIQJ0WRZd1AMo6jO3C+h8BkLU5ycDdJlp47+G4XlEQ3hcyVKsl5igjzuJ16zdyIbyilVQWbOBrf5jgE7XrDkD9DXtnK5ZUyZI3cYwQQ+iNlkB+rpge4BOtYmWuK/qucgA6C8HLYQd/WcYAJ0Fj+8s0fRIAOj1n/fQXmcEgH5veWfYPWiyAdCvZEZr5ed6MBcBvSQ1AYpjJsK7/bLgSmY0AyqqTbeyw6BiWRctEFjgbwB0urYNAZ0Gj03apGsj1SZZ8NgKdt0BdKtSditAF0G6rMRdFDiWaZP064i0qaGAjtq0kQyJo9p0IMyQQS+/PlsePHZS3WW1YYQBOvdvorRJXQXo3ncUoNs4X331FXTo0MFjn8+ZCerduzfk5+cb3iYzQSNHjoScnBzp57pfGXQZoK/vlQvre+XCu/2yTIBeVv5HR+85Xt0A4WC4utfMJqhuQ0u4PiMSDsSONwD6T1kRjvJ2DtCxb69mTTsGVPeWd2aGqXJFJ9YvhoBuKKcmK9vQBLGr/54COkI5vSJAl0X5hYDupMy9IYAugmcZoMtgXQTndgCdN0BWJe4NAvQDYZaAzpugissTzIAu6kG3Aeh38oJVGaG64GkT9CBqk6cBfW3QQimgbwjJMQA6re5iveccoNcci4a6Iu3/f16bate3gkMj0uH9yFkM0L8bEw9XMqPhbn4Qg6Q7ecHww7QoVgZ/dfIg9lqCU7exPL1iWRdHuTIJHlc89yibFs4DOr5GNpY2maq7GqhNIp0yATLRDvo8bCCrp7QpN8QjwWMe0LHCy9SDLsmgCwFdn9djmo+CPegWgM5PcVfapG5japM6DT8K0MnZsGGD4RYWFsJzzz0HXbt2hSlTpnjs61iZoIMHD0KzZs3g5MmThre7W0bIn8bqQV8bJAf0DSE58GHkTAOg36tep62vuTrVBOjVJ2I10dqgZcqZCdrWEuq3+EHVqofh1OjH4cPImQzQL2TEwt38IAbN1ATdmBMOFc89CjUvtYfawlYOoNIzDVWrHtYM0CttDYDOdtXqGXcDoOs90CyrrpsggxHizJC7gC7KVjgzQaI+QFl2QgTPfN8eGhLenAgNED8EjjwzD+j8ACDh6hzOBHliD7qlCRJlKThAN5ggC0CnU5KXd1sMzZu19AIhVvfXZoJ8SZvsALqVNvGAXhCQZwnob0fMNgF62e18B5Rzs1Hq39Oy3LWFrRzzLvRBcTfmhLMVnTsHTIfimIlQkpoAP04fwHSCahMGlmsLNbin2oSB49pXW5u0qfKFR1i1lwnQiTYJAd0D2sTPR5G1YMkmvFtd/s870ya6QUSWPRfNcpFqk+jtbmpTdYG/XJucVHfJStzLr892lLjjhhF93SzVJtqDLmq/UoCurie0SZ3GOwrQyQkICDDcoKAgiImJgWXLlnl0xY2VCcrKyoJBgwaZ3o6DeN5//332tuvXr3vFkDiEclcAvaz8jxqcUxN0LkXLWB7ur03BfbW1EdC3+kFtYSu4NmUg7H0skwH6gdjxcCc3xFHqR0zQ7fm9oeK5R6H21dbaWiwC6Bjhrn21tckEVRf4s4w6G7SiAzpGxw1ZdQLosmxFg0yQXtYnK88TrqQhfXTOAN1W/zl5Xt4E8cEE3lCxNT6SwUK8+WJZEWKC6CobXKPnFNC5HnQe0IUmiAd0wZo1tgddkKWQ9fndzQ+Cti1DvUCI1f21mSBf0iYZoKM2iQB9owTQXw7StEwE6KhNb4XP0bRJH2B6r3odVFzJhKqSJBOg1xyLhtIlPaBqZUcToFcX+MOJkaMNgL4vZhJcHD8U7i3vDNUF/kybcD7K7fm9tc9T5GcKHlcX+GvgzmsTmQ4uAnSqS3a1ieoSXlnLlUGbSMk5r02icnZaucWXvIt0iS8xd1WbRIFuS23iNEkE6Ha1yVTibkObnA6Jw5k9vDYJMugGQOdm5qj2K3U9pU3qNN5RgH6fTkVFBZw4cQJOnDgBzZo1g/Xr18OJEyfgH//4B/uYsrIyaNOmDbz22mvCz5GbmwvdunWDv/71r/C3v/0NkpKSvGLN2togLUtR2CvXZUA3mKBzKdpguI87QfmzXZkJqt+siVpdkR9Ur+4AlyYMYYD+ycCpcCQuzdCjR01Q5QuPMCPFTJAuXBgAYDtDdRPEVqOgMaKATjPrNKvuJqDLJqDbNUGyTIUI0EUTcmX958K+cxsmyNQvL+hTlE3+5XsLDT1+dvegF3FT3CWATnfNmvagOwP0bWZAx8AQX0bI9/opQPf1630myNu0SQboG0JybAH6JpuAXkgAvfzZrtr/8/prQFVJkhDQ617zg18WB5oAve41P7iTGwLHk5Jh96DJ8GHkTNg5QKvuKnumO9S80tagTb8sDmSZ8/rNfiZAr1nTjgWUKaCz1zq9cscUPOYCx3a0iQ6NcwnQuZ5wGaDLtIm+H4e0elKbTH3nFoAuKm+30qZfFgdKtckQPF7Tjn2/TBtGqDYVBzNAZ8Hj0mXCNWsU0OsOhIkBXR8SRysuRICOer3o3/8AzZo95AWvj+oqbVIHjwL0+3T2798PooE4WVlZ7GM2b94MrVu3htLSUuHnqK6uhvz8fOjYsSO0bt0axo4dC1evXnXpOawAfW2QZlrW98r1GKAX6tPdGaDrk7PLbuZqQ7iICaoqSdKy5x/4a3C9opMD0LdoMHQnNwTOpCQyQD8xcjQzS7j3s/KFR1h/Xu36VqyPHU1Q7autHRFtvZewdr3DCOH7GbTr4F+9uoMB1Pmyd2cmiAf0sme6Owd0gUFxBdB5E0QBnc8QSE0QlrIT4JQN4GGGSNBrbvg7CHoBqQliZssOoKMJ0r+nrOLi7Ta2AN3WrlnOBOGkXNEgHh7QaZ9mm5bBXiDE6ioT5Djepk2NBei4ok0I6Eu7MUCvuDoVqr6NNwF6/Z5ucGNOuEObUFu2aoHjm3P7mgD9XPoIw07qyhWdGBDXFrZyTN0mgF77amtNl4rMgM60iQse89rkSnWXCNCtgscyqOUDrnYBHfeluzrB3RVAd6pNfADZSfAYvw6dhu80eEy1ySqDfiHNAOiGtX/cmjU7gG5Lm3JDlDb5/PU+bfL1owCdO9XV1XD06FH49NNPYdeuXYb7IBwrQMdVaYUSQJeZIFcBvezuUjaAi5ogHL6DgkkBve41P6gu8Iefc0IZoB+OGws/54Q6sg3rWzkAfVkXqH21tTYFnjNBOEgMs+oU0HGYC+sJ1E0Qg3Taj84NjhOaIG5yboMAXTLcRgbovEkSAbrIlNABcbwJ4nehy/bO8iAuBXTu/VJAf7arvQy6DRPE9/mhCXIK6B930qBfAuiiPeh8JYQyQb5+3TdBvqJNjQXoa/VfWwF6ecUq1mrFB4+rC/zh0oQhJkCve80PKp571AToR+LSoOaVtpru6K8TlSs6afNQXmnL2rYMweP1Dr1j2qS3YDFt4gFdpksuBI9dAXS72sQPhUP9EVV2WQaPOZ2SahMXPOaf3QDoBM5Z0IDTJB7Q+fJ6BHTb1V2oTfyaNX4P+oU0zScRQLeVQde1iVZ3sZ8LpU3qNqI2qdM4RwE6OXv27IFHHnkEmjdvbrotWrRo6sfzyHEX0DdJTBAO71kdsIgB+ouB2lAeVwG99nB/VsJOAR3NSuULj8Ct7DAG6D9Mi9Im6W7VDA0CenWBvyaGOLyHmCC2GmcLeZs+jM50+bJ3kkl3F9Dx8oCOpoKaACnkCgyRaBiPKIvB70EXXmKCeFi2syOXz7TI+txFWRjTpFy6xgbbBdAE6VUM7vSg84BuK4NuA9BpKaHJBKkMurpumiBf0iYZoG9sIKBj65YM0Muvz4aKK5lQfWq4SZvqd3eFbxJT4OL4oZo2vfAIA/TawlYM0E+Nfhz2RGfCrqhpcHt+b21eBQfo1as7sHWhBm3aoA1Brd8iCB5jKxYCOg0e86XufIm7C4CO2sQDL76OmQBdoE2y4DEP4bIMO4V4qwy6SZu455UBOq9Npj53iSaaAF3XJvrvaKlNG1qatYkAOtMmQQZdpk0M0Ik20R50CuhYWSgEdKVN6ipA97qjAJ2c4OBgyMvLgxs3bjT1ozTa8SSgI5CLAB1/TQG95qX2UHElEyouT2Dr1NAE1RyPgfqPO8EviwPhQkYsA3SMOtdt9IN7yzszQD+bFgcVy7pohkYf2oVTcGsLW2lv50wQu1v9TMaIXiGgowniAd2ZCbIB6PQ2JqDzw+LsAjrtuUNhl5kg/opK8q3K2/lJucw4EkDHSf0NMkEI6JI+P2c96IY1a2Q/sQjQ6b+F6kH39eueCfIlbZIBOlZlNRag49BSEaDXbfSDo/FjNEDPDYF7yzuzmRcU0L8bEw9fDH4Szo8bxvSHAnp1gb+mSW+3MQF6/RY/tqmEDx57QpuwP1rWfkW1SZSRdgXQZdpEh8HxmsQDukybeNiWZc1F2mSYk0Kena5Tk2XP+QCyHW0yTHFHbdoiz6DbAfTy67Ph3oU0afBYtmbNmTYpQPf1qwDd244CdHLat28PFy9ebOrHaNRzPwC9IED7XCJAv3chDaq+jTeYoKqSJKg9FAG1r7aGbxJT4Py4YQ5A141L3YaWBkC/lR2miR2Zqo2ZhfptLbW3UxOEpe64ro0C+kZyPQ3oFibIAOi6ITIZCAmgyya12wV0S0iXmSALQOfNj+nvQA2PTRPE9/ihEWImiJQRsrkCDQV0fZWNdM2abNesDuj4vcesFG8Q90RneoEQq/trM0G+pE2eAvS1QQsZoNPyeFwLygP6vYsZUHM8xgTodQfC4Lsx8XA0fgyUpCY4AF0PBNcWtoKKZV3gVrb2cYdGpGuBZU6bata0016b3mtvAvT6rVqgWapNHgJ00Zo1K0C31CYO0EW946Jp7lbaJNpE0lBAd0mbBKX6fNWXCdAbqk27u0JdcbAG6CVJJm1y2n61p5ut4DHVJgXo6npKm9RpvKMAnZw5c+bAG2+80dSP0ajHGwEdS7VqXmoPR+LS4Py4YXA3PwhqXmrPwJoC+u35vaFq1cMOkXvTUQZfv0U3RtQEkT21JhP0mtkIeRrQsX9aaIK4AWxCAyEwESIT9HNOqMcB3dDvRwDdmQkyPLubJoh+TTqIx9IEifr8SIk7Zimkk3JtArrJBJE1a7RslAf0YwmpXiDE6v7aTJAvaZOrgI7aVNgrF4oIoK8LdgA6/n5Vz0VMsyiglz3THWqOx5gAvaokCUqX9ICvh4+Do/Fj4ExKItzJ1VZ6Imxhddft+b3huzHxUPpUT6j/wJ8Bev1mP9ZbXr+jgxnQ8bXKSpsooK83Do5rCKBbahPX4+2tgO6KNlnNQOGf31T1xQ9QtdAmbGWQ9qBvb2kEdNQmHdDLr8+2BvQLaVB9Ila+YUSiTRhIQG1SQ+LUbag2qdN4RwE6OZWVlTBmzBjIysqCV199FTZs2GC4D8JpSkD/ZXEg1ByLhuoTsQYTVFccDOVLu8Hp5CQG6KVP9dSAG8u2dED/OSdUG/72TluH2XnTMemdvf0Df+3PovF5s5UR2EnZO2+EPA7oeoSdmiAG54IJ6TJAp2BO/0uBm5YSysDc0gRxWWzTNPcGALoI0kUmiDddhj50vUzz3vLOZhNUaBPQaZaC70EXAbqNEnfcQ0yNL5+lUICurrsmyJe0yROAXigB9D92z4eCgDwDoP8pfI62j/yrviZPm4oYAAAgAElEQVRArz3cH27MCTcD+gq9pJgD9Nvze2uvOzs6GAC9bqMO5zygY7m7ANCZNjUU0PUp7jygM02SaZNgSrorgC7SHWf6JJr2LptT4o42yQDdpEV86Tv52vzQVAbonDYZ9qDz2oSALggeWw4wvbPEMSTuRKwjeMxvGCE96FSbZGvW7uQFw7v9srzg9VHdX5s2qdN4RwE6OVu2bIHf/OY30K5dO+jZsycEBASwGxgY2NSP55HjSUDfoE/GpYC+LlgD9BfJ2jYE9CuZ0VD/eQ+TCar/vAfcyg6DQyPS4UhcGlzIiIXKFx7RgJsAOmZM67dyZgfNzXvtHW9HQH+7jSZctOQdTRA/kIcHdJkJ0kXPDqCLTJAhe84ZISsTZFXazk/MdQbpltPcrUwQeUar/nNhab5gYBwP6Hx2Ai/+G9J/YwR01udXyE1xd8cEuZJB11fZUEAXTcpVGXR1G2qCfEmbENALAtwHdCxptwvoN+aEa1VcvDZtbwknR42Er4ePgyNxaRqg5wVrrzHvtTcA+s85oZqu7Ops1CYMHH/cyQjob7ZyaBMP6Fs8A+jYe2w5F4XXJrpaU7KyzBmgW2XI7QK6HX2i5e12tEnaOy/RJgroosAxHRQn1aY17cwDTKk22cigy9asWWXQRYAu0ib891Ta5OtXAbq3HQXo5Pz7v/87FBQUwP/93/819aM02vEUoG8Oy4bXe89n/Xw8oFMTJAP06lPDteFwOzvCT1kRDNAvTRiiidgH/pqI6YDO4HxXZ6j/tIsWNUYT9HYbzfygCcISQ3p5QN9qE9DJJHcRoFeu6GQAdGdZChmgOzNBdgFdNBXXpTJ3F0yQ6LkNGQuBCeK/Lg/opt3rOqBTE0TLCA2DeNAE4Zq1D/zNJoiWuFsAesXlCWZAx5/H14yALts1q0yQup4wQb6kTRTQceioq4COQ+HWcoDOaxMC+k9ZEQ5APxHL2rB+zgk1APrp5CSoeO5RhzYRQK9a9TDU7+5qBvS322ivHTygYyuWTJvuA6CzFZZ8abtkW4dJm5xkn50BOq9RdgHdEMx1AdDtaJMQ0EXapP+aDx6btIkHdD54TLSp+tRwB6ATbaqoeplpE12zZsqgb/UzaZMweEy+r0qb1G2INqnTeEcBOjkPP/ywzwzisQvoG0nGnAf0zWHZrJTdCtA3hOTAOxFZcCUzGur2BTJArzkeA3X7AuFWdhicTk4yAvqbrTTR+cBfAyK9R7z+vfYanFNA39FBM0W7OhsB/b322n8R1qkJIpkKZoKsAJ3bOetRQOdK8wxmggN03hSJgJs3Olag7ixLwRsg3rDZBXT6NZgJ4v9eFr3vViZIuGbNCaA3NINOd83aBfQ7ecHKBPn8dc8E+ZI2iQAd4dsuoOPH8oCOGfW1QQthPQH040nJUFccbAD0+s97wJXMaFMGvfbV1prWvNdeGwK30U8LHu/sqL1OUEB/u41Zm95r79Amu4BOtWm9RfC4ARl0w+BSEjy2BHQXtEkE4S5rk0Sf6H/5tzsDdL4sX9b/7qo2Va16WBw8xvYrqk04JE4wH0WUQWfBYxwSR0rcbQWPKaDr/6ZKm3z9KkD3tqMAnZwlS5ZAQUFBUz9Gox5XAX1d8EIG5e4CemGvXNgclg3XpgwUAvqNOeFwavTjcGhEOlzIiIWqlR01wfm4kwPQX/OD+p0doW5foGaCENA/8Nf+i9COJoiWulNAF5QSWmXQDUaIAHr16g6O/aLuArpF75xdQLcqc+d7zq1MkMGUOAF0Ku5WBo49PwfppqFwNvoLaQ+6aEicpQna1ZkBOk5xt5tBr/o23pxB324f0HH6Mf79rk4eBImtc7xAjNX9NZkgX9ImTwD6JgGgF/bKlQL6gdjxmjaRGSl1G/3g+0mD4eSokSx4fDYtTtMZDtDrivzM2kQypKbgMQ0iexjQGaRzgC7VJiebRexk0F0FdJk28TNVZAFkQy+4ZHq7K8FjE6AL/n52tAkB3ZY2cRl0umFEWuJeusyYQccSdwtAt2q/wsoBBejqKkD3vqMAnZzFixfDv/3bv0FcXBzk5+fD008/bbgPwnEH0At75doCdJqloD3oIkCvOR6jgc/OjgZAvz6rnyZcaHQ+8HdMu93VGeqKg40m6NMuWgR5d1cHoO/saIZ0dwCdN0JuALpoUq4VoJv60HlAFwy1cQbosiw7P61WBOjOoNzSwEnKIPlSRb5s0TCd1w0TZBgSh1kKbs2aKEvBAL10mfWQuO3mSbkiE4Rml//+Le+22AvEWN1fkwnyJW2yC+gbQ3JYhRcFdFH7lRWgbwnLhgOx47X2Kx3Q6/aHQM1L7U2AXru+laY3uzo7tGmzH9R/3gPq9ocYtUlf72gCdKpLFNBRm3hA57VpvUXw2AVAd7pizaK6y04G3dmk9sYAdNGv+anvos0iQg0UfM0GAXqR9QDTmqNRrMRdOiSOlLhXfRtvBvTt8h50WfAY/95H48d4weujur82bVKn8Y4CdHISEhKkNzExsakfzyOnMQF9XfBC+4B+NArqd3eFmpfaw09ZEXBq9ONwNi2O9ffV7Qt0APoH/lC/pxvUftXXaIIwO/F5DwegoxFCg+QM0J1McbcyQfcF0AVZZt5YuAPowh5wQY+fzATJshey6fPCQAM1ebK+d36Ku96HXvnCI1oJIT/F3RUTdDNXPMVdB3SWQRcAumyKO9s1KzFBd3JDFKD79HXPBPmSNrkC6FSbnAG6qMQdtYkH9PpPu0DVyo5wJTPaUN1V/3EnYxn79pZQ/4G/WZsQzqk2UV1CbXIX0F3RJncBnUxvd6ZNssGfrmqTdD6Jk/5zUbm75VwX8vlFv7bSJn5YHNUmrPByOYNeHGwGdNGaNS54XHcgzF7wGNscJID+c04oXJowBAa2nukFr5Hq/pq0SZ3GOwrQfex4AtCLXAD0Dfqfeb33fPhhWpQloFetehjqP+0CdftDHICO2YbPe2gmCAVpd1cNuvYFah/LAzrNpN8PQCcmSFhKKAN0SQZAOHlWkKFwF9CtMtu0DFBkdmQlkE6zK5JAA2+A7uQFuw/oMhPEZdCdAvrNXGOfnx1AJ72eMhN0JzcE/j8F6D58lQmSHU8B+hYBoOOveUBfLwD0mmPRUL/FD6pWdoSrkwfB6eQkOBw3Fsqe6e54LUBterMV1B0Ig9pDEUbdotVeVsFjBPQ3W9kHdJk2EV1yCdA9oE18Ndb90iZ8LmfzUgwVaaIrCTTwgG4aFucJQOeDxxfSxCtABYAuyqAL16zx2qT/+1Bt+jknVGmTT1+lTd52FKD72PEEoG/UgXuLC4C+KXSBA9CPRWvl7R93guoCfwboNa+0hbp9gZrZQaOjA3vtV321tx8I096nZyfqioONgM4bITdK3K16/eyUEQpXrREj1BAT5MwIuWOCRKXtIkjnh+NYArqdDDrXjy4DdNwzawJ0N00QPyTuXvU6IaCzMkJ+SJzMBDkpI1QmSF1lguRHBuhrAvNYYNhdQF8TmAdr9GnwzjLotV/1hbrXjIBekpoA9bu7Ol4LENA/7QI1R6OMgK73FDNA39PNoUu7Ot8XQLelTTYAXdTbbaVNomtV4m4H0Pkyc1EW3QToAm2y7JuXBMFF2kQBHfv2PaFNhgGmN3NZBt0E6HrwmFV37elmyqDXFrYSAzoZEqe0SV2lTd59fB7Qn376abh37x77tdV9EI4M0HEYXFHoArcBfW2QTUA/GqWVA25rCVWrHoafsiLg55xQTVz2hxgBfXdXqP2qr8MEHQjToHx/iOMisCOg873oojJCiwy6FNCd9PnJsuhSQBcM4ZGaIC4L6wzQRSXtdgFdlkWXAbq09NGGIaImiH4Op4COU3Jd7EE3mSB3AH2buYxQNCSO9qArE6SuqybIV7XJDqDTFipZiTvVpoIAM6AXSgC9/vMeJkC/t7yzY24KabEyaJOuRXX7AplOGQAdId0OoG9pWHVXYwG6aCJ6YwG6qPech3RXAN0dbcIsulXw2Dagb2hpHmC6s6OhxN0QPOYBnWrThTTzhpG32zjWrOnaJAV0bkic0iZ1FaB73/F5QE9ISIBffvmF/drqPghHBuiYPW8IoFMTZAXotYf7a+Zlix8D9NpXW2slXiditffr0I3rR0yAfiBMuxTQaRbdGaBbZCkaAuimckJqgmwCutAEcYBuVeZu1XfOD98RwrodQCcmyA6gC82WwASZSutdzaCLTJAA0OkUdyGgW61Z40yQq4C+ve9ceOg3nbxAkNX1ZhPkq9pkF9BX9VzkFqDj592g/xkG6Hu6sdYrBPQbc8LhdHKSlinXAZ0Fjz/vAdUnYo2ATrWJArqozN1TgG5jzZpTbRKtAJUMALUzbM0VQOeDx5b6JAB0OgiOL3O3A+hOtSk3xGPaxILHdA+6RfDYlEEnK0BZ8Bgz6ATQ2ZpYbj6KwYOo4LG6bmqTOvfn+Dyg+9q5n4COhmmjm4BedyBMG9pzajgri6/9qq+x3L0pAJ0aITIkTtjv5yKg8ybIFUC3AnV3AZ2aINmQOGEpIWeErEyQs953t0wQ7kG3MkEyQBeZIEEGnZog7PmkJohmKXjD16vtOC8QZHWVCfKeYwfQUZsaCugvE0B/vfd8+HLIBKj/tItWMvxpFwboN+f2hTu5IVpvOgJ6cbAG7PpAOUPwGPvRMZDMaxMFdKsp7jygU13StYnpEhc8NgG6oMLLNCDODW2ir/GuBI+tAF2mTyKdkAG6CNKFgG5Dmwx96LkhpkAAr03SHvRXWxuDxxTQcQ/6oQjrDDoH6NUnYs3zUbZqPy/OAF2mTWqAqS9fpU3edhSgk5OYmAgrV640vf3u3bsP3KRcO4D+sl6y7i6g0/3pDNAPhGlZij3doH6LH8s81r/XXtuPjoCuZyLYznQE9EMRUHu4v/YxFND5UkI7JqixAZ2Hc/3yJkhkJGSALhqg4wqgiyC9oYAuMnH8oDhqsITmiCuvN5kgYoBMJmhNO23tEM2gOwH0issT5CXuZA+6KYP+XntDiTvt/6QmCDMUCtDV9YQJ8iVtsgvoKwWAviEkx3YGfZP++YpCF8C+mEkamB8I0/RDDx7fnNsX6rf4QeXZUQZArysOhqpv402AXnu4vzl4zPeh033ovDZtayCgy7TJDqBLtEkE6Ox1zYk2OavskrVgiYDfjjbxGiXNoHtSm5Z207RJ16d7yzubtenV1toQU16bsMSdCx6XX5/tNHhs0CZuD7qpB13/GSh/tqsh+MJn0H+YFgXd243ygtdJdX8t2qRO4x0F6OQ0b94cOnXqBBkZGaz3DwDgxo0b0KJFiyZ8Ms8du4BeEKANjUNI9xSgY88eA/QCf6grDobKs6Og8lwKA/Taw/0ZnDNA19/eZICOQ+IaEdD5jIAQ0Dngs8qS28mi2+nzszI/bgM67QMUGKBfFgcKp+S6DOgSE2Qngy4zQXRInChLQQEdpwcrQFfXXRPkS9q0JmiuU0AvCBADOpasU0AvCMgTAvrrveebAL32UISmH1u14HHZM92hbl+gQZvqioOh5li0A9AxeMy3YrkD6HYy6LwuuahNwvL2RgB0O3DurMzdLqDzumFnsJ0zQGfvI2/nddCgTaIMukibaAad0ybRHnTL4DEOieMA3aRN+vdeFDzm/72VNvnqVYDubUcBOjnNmzeHkydPQkxMDERERMD3338PAA+mCWoIoG+4D4COBqiqJIkBes3RKPZfA6CLpuXaBXTBFHfpIB5Jr999B3SJEZIBurO3ibLnousWoHNgagoAWAA69vnxJYSmEvc17cw96BJAF01xF5mg8uuzxats3mvvmOK+0c/Yg24xiIf/dxjaeq4XCLK6vxYT5EvaxAP62qCFpuouCuiv955vAnS6AlQE6BhkNgD67q5Qe7i/AdBr17eCissTjMHjQxFQVZKkaRMCug7nJm36NQA6gXRngC6DXTuALnvbreww29rEAzqvT/xedGl5PleBJgseU0CXDjB1RZuKiDbhkDjcVCPIoBv2oFNtupBmLHHng8cb/awBXbVfqeshbVKn8Y4CdHKaN28ON2/ehJqaGpg2bRp06tQJ9u/f/0CaoIYAOpoiCugvBppNEDVPm8Oy4fLEGDattH5PN01MtvhB7eH+UHkuRTNBCOPHYxwmyB1Ax2m5bgC6VQbdEtBlZYQCQHdlWq60V44YIatyd2dvo59PBudWgC7Lskh73XlAF5QQmqbkiqa4Ww2JoyYI+/wkQ+Is+/wke9DrXiOAvqadcEgcb4Lo9/Di+KHQrNlDXiDK6v4aTJAvaRMP6OuCF0JR6AJpD7oI0N/oM88S0ItCF7A/h4COA0nrd3eF+q1+2uvKsWiouDzBAUSH+0P1iVioPJdiAHR2PQXoVsHjRgZ0mTY5A3S+X9yqjN0K0GXbRmRgLgJ0Z3rKa5M0i85B+918wQ50vU2An49StephszYVWVd3iTLoDNB1bSr/YablHnThAFMnwWP6PVSA7qtXAbq3HQXo5LRo0QJu3rzJfr969Wpo2bIlrFix4oEzQY0N6KsDFjGztDEkB7b1mQdnUhKhfldnbZXNnm5Q/4E/1ByNgorLE6DiSiYD9Kpv4xmwI6BXn4iFmuMx2nUG6K6UuDsBdN4EeRLQsdTM1iR3DtCpGeIvP5CHB3RqiHjg5wfpyAwQPrNVr5+zMnqZARKZINrrhyYIV60Jd81ua6l9v7kp7rIMuskEyTLoIhMkA3Q9k0NNEH4fLk0YAgrQffG6Z4J8SZvsAPpaQRDYGaC/KAB0/LzFMRMdgP55Dw3Q17TTtIkAes3RKLh3Ic0M6MdjXAP0hlR36YAua7+SDYkzrFlzEdCpBlgBOn29Fw18o7qEOkSHxtFf88Av04qGahMfPBZVdlkBOl7b2kT3oO/qbNhWU31quCN4rA+Ju1e9DiqqXrbWJhdWgKLvQF/BB/rD22R6weukur8WbVKn8Y4CdHIwS0HPjh07oG3btg+cCfIaQD8WDRVXpxoBvSTJaIJ0QGeQ7glAJ8N4DCaIM0KuArrlrllunQ0FdFsTcwUl4yJAR/NDTZBdQBcZEqsBcZbDePjPLbo2AJ1mKrDHD//NLQHd2Zo1ssqGN0GWGXSbe9ANgK7/e+D3QWXQffU2LINOz4OqTXYAfV2wGdDp2jQrQF8dsMgE6N8kprDXBwT0+j3doPyHmQZArz4RC/cuZhgBXR9uer8BXZZBZ4BOtEm0B91Sl2wCuhXwigDdjjbx2XMrQHdXm4TaZ9GSZSpx57QJAZ2ttLML6KS6q+ZolDGDTgBdFDyu+jbeGDx+u43rgE4CLBgY+W5MvNImn7wK0L3tKEAn58qVK/Cvf/3L9PYzZ87Af//3fzfBE3n+eDOg37uQpmXPz44yAzrNousmqParvu73oIsAXWCE7AA63TdrB9BFJkhWJm4F6LLsOZof3vBYAbqrJkiUsRBmVyxA3ar/nZa5sz50DtCFJe68CXIzgy4EdMEgHr6MkH3PSRkh/f6hCVKA7qvXPRPkS9rUUEB/vfd8Bugv2wT008lJbAp7/ec9oP7NVlB5dhSUX5/tAHQdngyALtGmRp2P4iFAl+1Bl1V3yVqfZFl0HtBvZYfBzbl9TdrkLHhsV5tksO5Mm/hMvaz03QrQDdokW7PGB48FG0YYoN/MNWXQy8r/aNKmugNhjj3oFitADd9zi+Cx0iZfvgrQve0oQLc4paWlUFRUBFFRUQ9clqIxAX2tANC3950LJakJbH9sXXEwVJ5LgfIfZmomSAf0exczoOJKJhvMU1WSpA2L+zZe60V3Bui7u5pN0Af+DxSgy0AdDY7IBIkAXQjLFiZI1HvuCqCLsvaGbIlkSJxhUBwO4rEAdMMedJuA7rQHXWCCpIC+rItTQL+QEatMkE9ez5igB1mbGgroRaELXAL07X3nwoWMWCOgf9oFKq5ONWhTVUmSBusE0Jk2eQrQt9kfYNoY1V1W2oSvY1agSyGX152bc/u6BOjOStxFU9WtBpk6e24+KOCSNgl60KXzUUTBY73EXbQHXVjdpQeMDFPcuQw6PyROFDzm26+UNvnyVYDubUcBuuAUFxfD9OnToXXr1hAWFgbPP/88/O1vf2vqx/LI8SSgbxYA+stB2t50nOJOAf27MfFQv6cbA/SKK5lapPhGNjNBFZcnaBl1bwT0l9q7D+i4ysYNQBf2xRFjwfecUyi3WmvjDNCt+vvsGCHRRFwrQBcOo5MBOmeC2J5ZBHRJBl1mgmwNiXO2ygbLCPXyUVEpIX6PlAny1dswE+QL2nS/Af1P4XPg4vihUHcgTBtg+nkPqDsQBmW3843B4wtpUHF1qhHQdX0yADpds9bYgL6mnRHOuSFxbmuTpEyc6oJpoBqnJ7wuUUCXaRMNHlv1iNNggZU22QF02dfCZ6KzWQzVY3wGXQLowjVrdIo7vwL0QpopeMwA/c4ScfBYsgddCOhkFzrtQ1fa5OtXAbq3HQXo+rl27RqsXr0aAgMDoXPnzpCfnw8PPfQQlJSUNPWjefR4cs2aDNA3hOS4Dui68aGAfu9CGlSeHeUwQRaAznr9eEDHabkNAXRigkyAbscE6RF2dwBdaIIEfWP8kB3aBygDdN4IyQDdakKuLRNkkUVnv5cFBKgJkmXQcddsoc0MekmSrV2zwh50fc2a0ATRHnQJoGOp509ZEfDs7xd7gSir6+0myNe0yRmg45o0dwAde9KlgH4sGur2h0DluRQou7PEAegXMzRdkgE61abGAnQLbWJw7gFt4nWpodok6jt3BuhSbeIg3a42SSvSLLLoTEdJQMDU6y7SJgT0An9xdZcseHwowhE81kvcy+8VGAGdahNds4bVXVv9rIPHJIOuAF3dhmqTOo17FKADQGpqKrRv3x6mTp0Kn332Gfzzn/8EAHigTVBTAjpmG8qvz4ay2/lQdiNbK3XHcncK6OdSNEh3F9A9kUFvAKDT/j78NYq6JwBdZHREWQBnWXQ0IrKhbZ4CdL73XNrj5yKg17zS1qUMOj8kTgToFZcniAHdWQZdN0GifbPUsG4KXeAFoqyuN5sgX9QmO4C+KXQBe78rgI6ZdwT0TaEL4N1+WRqg7w/RdpofioCy0mUsW4ktV1SbUJeE2mQH0EVr1lCXLLRJmEHXNalB2qRffge6pwHdmTbRsnc+gGsX0Onb7AK6qESf/p7+WSmgW60ALRTMR9nRwbwCVA8e0z3o0uDxiVioPRThyKATbaotbOX42RAMMMXg8S+LA02AfnXyIBjQZoYXvFaq683apE7jHwXoAPCb3/wGnn76aTh//rzh7Q+yCbID6IUeAPTXe8+HDSE58KfwOXA2LQ7q93TTes91AUIThHBuCegWQ+Lq9gU2vMTdaoq7Due0lNCpCaIlhA0AdFMPOlc2LgNvfkKu6Nf8kDaRCbICctuA7qSHXtTnR0sJKaDTKblOTZAVoNvIoFd9G6+ZIEEGnQK61AQRQMfsuQJ0X76umSBf1CZXAL0gIM82oK/RNYkH9A8jZ8LF8UOh/uNObGUaD+i8NuEaUJcAnWqTHUDfzAE6V+KOKx4N5e12AZ1mz8mAOKZNDQR0CuCi1WnOgscI6FbaJBsU11BAF10+IOBUm+wAOtUmff6BbA86n0E3BI9xPgoCepGLwWMucKy0yVevAnRvOwrQAeB///d/ITs7G/z9/WHw4MGwceNGuHXr1gNtgqwAfUNIDqzvlQubQhcwg+QuoG/STdXbEbPhXPoIBuhlN7INPVVCQNdLCRsM6K5MypVNy+Xg3Bmgm3r8XAB0vo/bHUAXDZCTAjpvfEjPnRCYuSnuIoNkp0/RlFXnyuoxW4E9fp4wQU6HxHEZdAOgO5virv8MyLIUygSp66oJ8kVtooC+LtizgE5L4zeHZUMRBXR9q0jZ3aWG4HHF1alQdjPXeXUXrlk7FOHQJrpmzRmg0xL3LRyg67pk0iY3AF2WPXcH0BsaPObfZwJ0AfxTXeGh3O6QOOFsF0nJu5U22R5gymvT9pbCKe4YPC6/Pts8JO5egRY4ou1XqE07Okjno1hpE5a48wNmlTb54lWA7m1HATo5lZWVsHXrVhg2bBj89re/hRYtWkBhYSGUl5c39aN57NgF9EI3AB2H8GwMyWHZCluAfjPXcXVD1CBAd3cPepHEBLkJ6KY9sw0AdNorJspCWxkd+jGWgM6ZIGpEeOMjM3CuZlmcAjpXQigbEud01ywH6JYZdN4E8UPitosBvWplR4MJ4vv8+GFJx5OSIaDdGC8QZnW93QT5kjbxgL5B1yUK6K/3nu8yoKM2YfvW5rBsWBe80ADoVd/Ga3BOAL3sRrZzQKd70O0AurMedBuATkvcZdokmuJuChyLAN2N6i7ZJHS71xVtogPi+Ky5HV2yq00iQKdfmw8eS7VJFDwW7EHH4DEtcRftQcfgMVuzRrWpyHnwWKZNN+aEw825faFIAboPXgXo3nYUoEvO3//+d3j22WehS5cu0KpVK0hPT2/qR/LIaUpAPz9uGNR+1VczPHeXGgH9zhLWjy4FdGc96K4C+hYPALpkirtphQ0B9YZk0GVT0K2MjmXpnoUJsiprt5NhsduHTn9vlT039PnZNUHurFlzFdDXtLMN6Lfn92ZZilvZYTC6zUIvEGZ1f00m6EHXJh7QEc7dBXSs7lrLAfrrvefD2qCF8E5ElhY8/sBf0x7cOY2AfjPXMdHdKniMgE61qbEAne5BJ73nzoLHsvVqtAed1yYKwPzruhWgi7RJVPIu0yo+o42fl+89twL0+6JNCOhEm7AFi81HcRY81rWp+tRwR/CYZNBlG0bqDoQ52q/0Ngk71V34byMLHr/bLwse+k1nL3i9VPfXpE3qePYoQHdy/vnPf8JHH330wJmghgJ6kf77dcELXQL06hOxUFb+R4fgyACd7EK/L4D+mkUZIb9n1gLQmRF67lHDpUbIYII4I2RlgnjzQrPiVmXsIuPDmym+RFHUZy4ayOO0R5HvH5SkKVAAACAASURBVBT0nkuH8ej/TtQI8YBetephe1kKUYk7GRJnZYJMk3K3t9TM80Y/LZOlA7ppUq7ABPGDkxSg+9r1nAl6ULXpfgF6UegCeDlI+/zHElKh/gN/TX8ooN/OZ/9lgK5PdW8UQN9uA9DXuwfo/Kotpk0eAHTRZhDZOjW6aYSv7hJNU+cHxfHaxAM7X/HlqjbxpfiiQaYua5MVoO/uCnXFwebgsQTQy6/PFu9B54PHnDYZ9qCT76tIm27O7au0yeeuAnRvOwrQfex4EtA3hOTA2qCFzASJAL0odAGsC14oB/S7Sw0m6L4D+mYzoLNBPK+2lgO6ZA+6HUA3rFkjkM4Ek2YmnAA6XUsj6zm3ND181sBi8A4zQeR5+UyFpQkS9PeJDBgrISQmSLZrVgTobIq7RZ8fXWXjFNDpkDhXAF0fwoMmiH5fFKD76lUmSHY8CehYvi4C9BcD85jerQnMcwD6x52grHQZ3Kte5wD0O0scGkW0qVEz6ESb6jeLt4sYAB3XrK3uwCDdJW2Slbjb0Ca6nYIPFvPaZCdjblntZUeb7AK6ZAAdD+imcnuiTTyki7SpusDfOni8s6Mpg37vQpphzZrT4DEOiaM96KhNgiFxdDaK0iZ1lTZ571GA7mOnKQB9bZAFoJcu08xQ6bImA3QG6QIT5Dag69FqflgcBU7eBAlLByVgi1eUjRCZIH6CLp+1oGaFmiC+LJABumQVjwnOJSaIN2U8yNMhPMwESUrceRNkAnTOBDktcXcF0PUyQtmuWWpsqXHFuzZoITRv1tILxFldZYKa9tgF9BcDnQP6+l65BkDHHehFoQtgjQzQd3dlrwMM0O8udR3QrXrQnWnTNkHwWALoQm2iuuRMm7jgsTNAFw1pkwG6SJtkgO5Mm2TBY6k2CWameEyb9L+/aQWoANBd0qbiYGHwGAHdtAcdM+i8Nm3TtUkyxb382a6WgE4HxSlA97WrtMnbjgJ0HzuNBehrdDhfawHoVzKjoeZYNBMdGaCX/zDTtG/WpT3o3gLoeF0FdIkJcgXQRcDOZylkq9ZEg4BEJqihgC76urSM0bDGRtDnJ+tBN+xB5wDdZIJsAnrdvkBxloLr87MCdL7X71Z2GFyf1Q8e+k0nLxBndZUJatpjF9A36jNQ3AH0TXpZOw6f+//Ze/f4qsor//94C3dUChQVyAVQhCBeqIjiDW+0ilh0FG8EkEsSwPqythUvCMM3aSKSgR8/rIyVOjNOa62Xdqq21XEsdRzH+lWKlHYQFEsgXBQHCHdq1/ePs5+dtdde69nPPuck2clZ6/V6XkI44YSTeD7r/ay1PgsD+qH3RgTfB3bdk9YmBOh7t9zJXx5LgE7XrBltilqzhkevBG3CFfTmBnRcdc5UmyRzOLwfnQN4TpvwRS4di6KaFKlNZNade158sDYFXNwlQK/patcmvAeduTwOVNA9XwT28vjZbnD0qYLQDPqBBScHuidCLe5Im8wM+s5pg2Fc11kJeL/Uo9qUv6GAnmfBATqG80wBvbYkDfm4MkEBveGOs+DwW0OCgsMBOt03G7eC7jLnh3bNioBum0F3BXScBHm31xygU7FkTWyIYY4tCYqqpofcckkLH4XlwNyfUD3nZhS5JIirTNALARHQHfag+0nQM52tq2xir1mTAB21uFOTuMBrUh52y1VAz7ejSZAUroD+xBnTYwN6TXGlr2MG0JcMLA8A+oF1Y0Jmkb5GCYB+YN2Y8IaRTADd6NLT7oDeXBV0enCllQNW8zEK6Ab0bIBuOokitYl7Xqaizo1fiZtFBEM4rmpPn0+6PHZaAbqyA395/Hap6I8SqqBvHA8HV18Yvjx+qiB0eWwq6Psf6hUwqpUAfVtZKeyYOgTqJ56r2pRXR7UpaaGAnmfRXIC+KBNA31eVFp0cAHpsI54cADreN0uTIMkx1wnQuRZ38zGSRMQBdMlFV0p+aEIiAXom+8+ltvZYgO6SBAku7o2fTIg0icOALlbQyZwfB+jUjAcD+rayUk2C8upoEiRFpoCOtWnJwHIfvLGBaSaAbo4ToGNtaglAt2iTBOhUlwLaJHmjMCAn6QTtjooD6JI22SrZdB6dA3TWvZ1cFnOAHvWcxsXdWZvqOqZN/ixr1g6/MxwOrBsTujwO7EE3JnEbxwcvj41J3MrwhhGbNuHXxHwvDKDr5XG+HdWmpIUCep5FSwG6+e+yQTOhVgD0xgO1TTfDuQT0OHvQJZM4IQliKxXSvlkK6JYW91wDOufozv1ZVJXCBujOO2YJqEsJUNaAjpMgXKWgLu5CEkQr6KEkyNLizs2g77m3n1hBN8nrtrJSKOx6TQLEWY8mQa0buQL0RSUVsLBolg/oNcWVsMSrqHOAvmzQTPjDVVfC/j9fFQR0c4GcDaBzJnEv9uABnbi4+7rEzaBn0N2VE0AX3tOjAF3SHwnWXVrNXbSJ6hLbCcBdHDtU7Dl/FFabaro2adNysgLUtLiTDSN0DzqtoDd+MoHfMEK06WBV98DPAC4S0IsX8/qbNncF9Hw7qk1JCwX0PItcAfpStGKNA/QlBND/ZegU2Hr72XD47VI7oO8ozz2gP9c9PqALa9ZMIsRWKei+WQbQpURIhNwII5tMAZ0mP1LLObv7nFnBYwN0bJJmS7pCs+7UiMcF0G0V9FWD4dB7I5wB3a+g4yTo2W6RTrk44Y2a89sxdQi8ct4tCRBnPZoEtW7kEtAXFAYB3eiVAXSjUebPNt10fhq4jyy3Xx63AUCXtClbQLeNL3GAzmmTtANdqp7TdnNOn1zXfnKAzmmTZAzHATprEudpk79hBAM6d3lMAJ3bg45/Fk0FPQDo3Jo1MoPeOLdPk0mcpcVdAT1fj2pT0kIBPc8iV4Bu3HRdAX356TNgw/j0nF4cQN+34drmAXS0a5ZtcceAXtM154AemvWzrSmzmKxJ622i5s7jADpnCBcb0AUjoUhA9yAdV9BxEiTOoNsq6MwMurTKJgTo2CkXzaCHKuheIiSZxOFqhQJ6Ph1NgqRwAfSlnkFcHECvLakIAbqBfQzoR3/e0w3Q0eVxxoBOu7sMoK/MANBxZ5erNkWt/0SXo3jXOH4voxet2HiUG7fC73tRXV3UNI7TJvECOYY24ffl0POjP5fWudHLY9bA1AC6dHnstbjH2oPuadORVYP5NWtmDzq6PA7sQWe8BXB3146pQ2D7lKGwdNDMBLxn6lFtys9QQM+zaC5ApyZxFNCXDpoJ68ddDAdXXwj7Di72WwlFQPeqFBkBOp5BN5WKGIAecsvNBaB7SVAA0EkSFAnoAuTaAF1abcOZ47gAOre+xqnFHSVbbKXCq1LYAN2srbMC+nIC6M91T/884Bn0dWMikyAR0GkFnQN0XKkgDsgY0E0SpICeT0eTIClcAH1ZBoBeN7A8AOh1nrYZF/clA8vhkxtHwtGnCnxAZ7XJdfxKAvRf9glrkwTouLvLBuh09CpCm1jzUgHQ8a+5PeKchmQD6FwV26YTuL09arWa6I2CLhZso182QJe0SdyDvrIDa2Dq70FntKnxQG3TRgG8Zk26PKYVdAdtohfH26cMhZfPm5iA90w9qk35GQroeRbNWUFfimbPowD9wJHlIcfcFgd0wSSOBXQvCWoWQLe5zVra210BPap6bgN0Ds6jAF0yiOO+XtomKbW4s0mQ5+IeSIIwoD/TWTSJs66yoWvWoiroLkkQU0HfPmUobCsrhV+NuBlSqYIECLQeTYJaL1wA/fHTZ8CKwdNEQDcgbgN0A/hGm+oGlsPHEy4IAPr+Q0vjAbrk4m4DdFsF3WZgKmgT5+Lu61KcCjoZZZLe4yk4cxewWHfiADr9ezlA5zTIGdDN30t0lWqT+a+kTdQfRQT0uojuLm7N2hf3yS7ueA86qaC7ADpd7Wq+P6Z6vq2sFLaVlSqg59VRbUpaKKDnWUQBOobrJ86Y7gToNd5/jTkcNpKLBei77skM0Lk2QldAf5IkQdy+2UwBnUmCJEDnDNfo/BtOGKQkSALzKECnrfQSoPsJiqtRHOOSG3CPF2bRI/egW6oUAUCPSoIiKujsrtmnIwDdocUdJ0ENk4bB5K/cnQCB1qNJUOsFBvS6geWRgG4gfjnRprqB5SKgL3cA9P2HltoB/dObYd/G8TKgS9rEAXocbcoBoPtVdJs2IUCX3t8N1MXRprjt7SH9kDQCteDHuTy2dQDYLq5d96D72oRa3AN70PHl8RsDmi6PN1wrz6DTPej08th0XmCTOIs24RE0TpsU0PPpqDYlLRTQ8yxcAN20AGYK6BjwTRth3cDyvAF0pySIVM5FQEdGNlw1mt785xrQuYSHq/yLkM4AOvvcGQJ6qIJuS4I4QHcxiaOATiroOAnyV9mQJIgD9O1ThvpnRi8F9Pw4mgRJgQF9iQOgLx7gBuiLB1RYAX3xgIoAoBttso1fZQ3oRpeMNlGTOAHQbdpkBXRPlzLVJlqRdtUmenlMNSrSGM4R0P01axGX3vhwgB5XmyRA9zu8sDZxa9bwHnSsTTvK04Zw+6rse9DfGR5as2Yq6Ice7cJrkzeDTjsKOG360zcuhRGdyhLwvqlHtSn/QgE9zyIuoC8ekD2gLyyaBdXFlfDnay8JALppJ2wVQF/ZIT6gY7dcYZVNtoCOqwHUEAcnQrY2d5wE0aoF1yIfSEpcXNwJoFurFdwlgHAxYDXhiWESF0iCsgB0v0rxzvDQHnSpjVDaNcu1uJtEaFtZKUxXQM+To0mQFC0B6Eu9sasVg6f5gF5bEgT0g0dXRI5fWQGda3E35qWSNkUBugfnkYBOLo9tgE4d3Kk20YvjwLgOer92uTzmurwkbaJAL2kT55FCAd1qFsfM0UtjX6IeWgBdNDAVKuiH3y71/VH2NkwOV9DRHnT28pjRJhugSy7uqk35elSbkhYK6HkWmQD6Is/1NlNAX1AYBPT9h5bCwaMr4MCR5cEqRaaA/saAdCLEubjHBXSbSVwLAjqbBBFAt8374Xl0G6DjJMifySPrZCRIp9UVqUXfdmgSxD2XC6AffqxTrAo6dnE3cG7bg84CusMedPPaKKDr0STIHi6AvjwmoNcUp/+OZR6gL/Ha3TGg1xRXZgToAW1yBXRJmzCgU21aTgA9wiQOaxPVJUmbAoAudHYF3ssiLo+lsSubYZwE9Jw2RV0gc9oUddmdiTaxG0aoi3vU5bHn4m67PBYr6EabXuyRzm+QNhmHf+zibr7fLmvWVJvy7ag2JS0U0PMs4gJ6neeKa/7MnDYF6MaIxxHQxTVrBND9RMgF0Lk1azkCdKmNXXJ0t1XeOUDn5tFbJAlCc/osoHsmcXEq6JxJHN4qsHdfVfpnkcygU0APuLgzgI4Nl6QZdJwE/XHs5dC945AEiLQeTYJaJ1wAHbu4c4C+LALQ6wigVxVVQk1xJXx0/UVw9KkCX5sCgP7FfdkDuquLeyaA7h0O0A/M7xHQJfP+xAF6yCTOQZs4Q1CXEauoy2PRVR3pRKiSLlT+peo5V/Gns/Q51SauxZ0A+sE1o+U96J424TVroT3oK4U96J424T3o1CROAT3fj2pT0kIBPc8iF4BunN6riyv9CkTOAB0Z8YQAXZrza25Af7RLrAo6axJHquhSi3jgVps7GSRBtkoGa8wTBeikhdDqmCsAOte6yM745RLQ6R70HeV+lUICdKmN0JYEGUCXkiAM6DgR6tnl/ASItB5NglonWgLQjWGpAfSH+82GmuJK+PCaMXB0RQHsO7jY1yYW0Lfc2TyAbrRpZYfwLvSoNWsWQKe6hAGduzi2ATqrTfj9m1TPbRfEGNBt3imSPuGvhWqGE6BHaBN9Pvy8VJtCe9C58as6AuhPdwgBeiYbRo6sGtykTV4FHWsTbnEPbBfxXif8faO6ZLRp5Zl3wfHH9UzAe6ce1ab8CgX0PItcA3p1cXrVTS0CdFOlaElAD8ygtyKg+0mQAOh016wToGeZBGUK6LRSEZr1s8yfB5IgwTFXSoJCzyUBOm1xp0mQVEFfNybQ4h4CdJtJnGMFPdRGGJEEbZ8yVAE9L44mQVJwgG60xxXQl3t7ziVArymuZAF9zdVXsIDu754mgG606cC6MbkDdKNLGQJ6SJuYi2OsTb4uUW0S3t9D2kSN1CK0ycC4DdCxXuHHShe55uvxq9vM/DmF+djahP5rtClkYhrV4i5p04s9mgD9vRFNe9DR5XEA0M3lMV6zZrk89gEddfVhQFdt0qPalNxQQM+zaA5AX1g0KwDoi0oq/D3qtSUV8GC/2VBVVAnrvn4ZHH22G+xtXJBZi3trAzo358esWHNKgjwHWMlxtjkA3Trfh1r5uCQoVEFnLhhwEsQmcTEAHbvysjPoD/UKV9BdAZ2pUoQq6DvK+TVrnElcTVc4uPAk+65Z9H0ziQ+unm+fMhTGd5udAJHWo0lQ60RcQDeXwRKgLyqpgGoLoC8dNBMeJIDeeKA2oE0+oJvLYxugvzci3pq1KEA3ukS1iQP0LLUp0OLuenksvK9j3cFt7BKg4wtkDtA/n3l6SBM5bQpVt4kucZ1otn+DP/JFQJ221ZsOBKcK+nKmxd11BSjnj/LWkNAe9KjurqjLYwPlZtWaAnq+HNWmpIUCep5FawL6H8deDgerusOeL+4LtxEyRjytAujLCrIC9ECLuzFlyQWgMwmE5IbLwbsN0M2h8+7UKC7klCskQlaDOHTJEJpLJwZAVkDnWtw5QLclQd4qGwnQxQr60wjQ6zqKgB6YQUejCdQgziRBa66+IgEirUeToNaJTAB9KdItCug1xZX+fzlAX1RSAff3nZMxoO9fP7blAH15eLuIr01Yl5A20R3oUZfHphpMtYmOO2UD6NLFclxtCoEyGbmSLo+5r12qoHNjWKI2YUCPqqA/ycygR+xBD+RJ0uUxNomLuDym2kQvj7eVlULDpGHQMGkYbJ8yFHp3GZWA9049qk35FQroeRZtCdCtc34mCVo1ODtAX4GMeJZnCehMIsQBesAozgXQmYTCBuhSWyFnDsfBsTOgM0mQZGrHdQFIgG7+LlOhiJUEuaxZ81bZRFXQXVfZhJIgZL5ETeJoIoSTIAX0fDiaBEkRB9BXDJ4WAnSsTWa15/zCWVBVVOlrEwb0muJK+O5pc6DaA/QD83vwgI7HrwigB7Qpl4COL465FncHQJcq6JI2ZQTojDZRKMe/Nmu8uIo6vUSmukCfl3Za2UawbJpK29ldLo8jtcm7PPb3oNMK+jOdw3vQ3y5lL48DFXTGwPTor/rKJnE1XdkKuqRN+PIYa9N/XDAhAe+delSb8isU0PMsFNDDgO4nQRGAHpkENSegk4RCqpTb2gqjAF1qcRch3TKHbgN0dvbd+/PQc7kCek3X+HvQbSZxEYBO2whDgI5WFnGAvnPa4FAFffWVVydApPVoEtQ6kStAN+7sFNCXeIBeN7AcnjhjOlR7gD6v/2xYc/UV0DBpWAjQQ/4oyCTOBuhHVg0Od3fhNWvPn2TXJg7QjTZRQHfRJkdApwam+LLUBXSpHhngMx+PA+jSCJSLNlED08jONMfLYyugoz3oRptCgG7r7rLsQee06eCa0WEX96cKfG3yL2+QNuE8hK5Zk6ro28pKVZvy4qg2JS0U0PMsWhPQP7xmTHYt7s2xZo0COjfnR5MgtGItAOeCk3sUoEc55XKusxyg29oKaRJka+GTEiDXJIgFdPR7OivPVdBZQP/OqfYkKAag0z3onIu7D+gmCbKYxNEkSDLioWY8BtC3lZXCmquvULfcdn80CZLCBdCXWgB9+ekz4HEE6FVFPKAbZ/h5/Wf7gP7OJddBwx1nyYD+2Wx3QH+7tPUAnTMvFYzipMvjOICOx3ckXTJQTnef75g6hAV0mz7ZtIkaw+Gv2Qro6GOiNqE2+9iAXtPV3t3lsAfdWkGPWLNm0yZ6KSFp0/tjrknAe6ce1ab8CgX0PIvmBPSlCNCNeU91cSU80HcOVBVVwq+/djPsqhwAe3bPzczFvbkBXTLicQV0um+WAXRuzVocQJeq4RjMbXN/YgLEGOCIgM6sWaOmPaFEKBeALiRBcfagcxV0FtBJBZ3uQY9qcaeAjr9XdL0arqQvLJqVAKHWo0lQy0cUoBttcgX0ef1n+4C+/PQZIUB/sF8ToP9kWBlsue0caDxQCweOLG99QH8q7I1yZFlBky5x41dIlwIr1lwAnaxby0ab6Ew51SVXbeKMRG3aRAHdOnrFVdDLBwWc5aULbKpNRp8av3cKNM7t4355zPijBPagW1aARl4eWwAdFwZwR5vp6sImcea/Cuj5cFSbkhYK6HkWuQT0Gg/QFxSmAX2J56prAH3ZoJkwv3AW3O8B+g/PvAs+uXFksgD9STSDTqsULQTocVrcpSSGS3i4+XQu+cFJUCScxwB0ziyOttfT55YA3ZYExQF02x70/YeWZtbiLgG69xrRJIgCOj41xZWQSh2fALHWo0lQy0YUoC8dNBNqSyp8QF+KjOGyBfQflwYBff+hpTyg28avEKCzBqZ4Bl0CdM4kTgD00PpPT5cC2uQK6ESbbNVo18tjW4cXBffILq8MtMl8nAN0XPmnlwtm/p1rsQ/oE9EmY2LqpE2Oe9Btl8eBFndhDzrWpsCaNXR5EaVNDZOGwac3j4BbTpyTgPdPPapN+RMK6HkWuQT02pIKv42wtQHdOoP+XPecALqYBFlc3F0B3domnkNA56rX0hx4oFpgWbFGk6BQQmRxx40L6KbNnSZBhx/r5CdBR1fIVYoAoLsmQS6AXtU9kAQZEx7a4s65uBsznm1lpdBwx1lwbqc7EyDWejQJatmIC+jmYxKgzy+cJba4L/NWrGFA33zLebBn99zMAZ3bg061KRNAx91dDoAe2oFOLo9DG0ZQezsF9LiXxxhuJW2SAN1WSee0idMKF0DPhTaJgG46vOb1jDYwNSZxCNC5PehcBT1kEhdRQT8wvwerTfjyOEqbqooqE/D+qUe1KX9CAT3PIhtAX+oB+uOtCeicU26uAH25A6A7VNCjAJ3bNSu245EWPBugSwe37bkAemjWLltAR197oK2QqVJEzaCzVYqars4u7rYKeuScH5cE1XUMJEFRu2ZxpcK0EmK33O1ThsLXOk1OgFjr0SSoZaM5Ad2MX9WWVMDiAelDAf3jCRfA3i135hbQsYt7FKDTNWtPWgAd65Lp7nIAdPP+RLUp4I3CrCxjAZ15L+cAWzI0xYBOH2erotNVZ5w/Cnfh7XJ5zGoTA+lmxVoA0L0Or8g1a9msAP3ivuCaNdrijkzibAam3Aw6Ni/lVq1VFyugt++j2pS0UEDPs4gD6KYtcIk3T54LQN900/l+lcIK6JtvzR2g0ySoGQEdt7b7/0Vrt7ICdO+22yUJigPo0hw6ToJsgB6ZBAkJnZQEOQO62YNuA3QhCcKAHqqgf3GfD+jWNWtey2lUEmReBy4J4trcR3QqS4BY69EkqGWjJQB9UTMD+uF3hjcPoC8XAB2PX3GATi6PqTZhQDeHVtBxtZXVppiAzs2mS4Duqk2mom3T1NDXL2gSC+wMoIe0ydsysn9eT/7yGAO6aXE3FXS8B11aAdq4IAzo7wznTeKQgSles2YzMKXbRfDl8bayUth00/kwtPPNCXgP1aPalB+hgN5CsWrVKrjuuuvglFNOgVQqBS+99FLoMX/6059g3Lhx0L17d+jatSuMHDkS/vKXv/h/fujQIZg9ezZ85Stfgc6dO8O4ceOgvr4+1tfRGoD+YL/ZUF1cCSsRoO87uDg+oHNr1nIF6D9oBkBHJ5eAHreCbjPkaU5Al1ohWTiPAnQD52YGfV7PAKAffqyTE6Afevec0B50G6BLFXQf0C1OuXSVjdRGiGf9GiYNU0Bv1yd5SVDStMkV0JeRGXSjTcu8xy1AgG60afGACh/SMaD/09ApPqAbP4ookzhu/CoE6K4t7rizy7i4U22yALrL+JVfPWe0iQI6p00BwKUGaxleHkujWZloE/e106q/qy5JFwS0Wp9Rd9eTpMU9zgrQL+6DvQ2To13cGW0yYw0hQPe+d+ayhF4cG11quOMs1aZ2fZKnTfkeCugtFK+++io8+OCD8MILL7BJ0MaNG6FHjx7wne98Bz744AP4+OOP4eWXX4YdO3b4jykvL4fTTjsNXn/9dfjggw/g8ssvh+HDh8Nf//pX56+jpQB9kefqPr9wFszrnwb0fxo6JfeAHncPei4AneyapetsnAE9AnRpApQpoBvxzQWgc1+7M6AL1QopCcKthBjQzYzfgQUn+2tsIlvcsRGPAfRMKujPdnNOgjhAp+3tHKD/5+jr4ZhUhwQItp58SIKSpk0SoJsZcskkDgP64gFBQDeXxosHVECtp08Y0JcMLIeNN4ySAZ3sQTfadGDdmEB3VySgS+NXLoBO1qyFZtBt2sQAunk/xXPokjbZjD/jaBOnQ3hPugugs47qDpfHVkD3vn6p3Z3TJlO1D10e4+6uqBZ3A+hvDEgDOt6DbtGmxk8mwMHVFzZtGGHWrAX2oHt5iVRBpxfHenmcjyd52pTvoYDeCsElQbfccgvccccd4ufs3r0bTjjhBHj22Wf9j23duhWOPfZY+PWvf+383FGAbpKg5RkAep0H6LUlFVDtmfG0aUDnqhQugI6hHCdBJBHC62y4ZCLXgM65uXOJFgVtNgkSAN3F5C4K0Lkqup8AUUCXjHhWdmgCdFSlMIBuNYlDSZBZZRNYs/a0vMqGJkF+cuv923ESRHfN4lbCY47plADB1pNvSVAStMkG6AuLZsHjp8+AFYOnwRKyZm0pAvS6geU+oC8smuWbw1FAv7/vHP/3G28YBY2bb4X9h5bCgSPLm9qK4wJ6Jv4ozQ3oaPzGjODYAJ2uWhPHlWJqEwfoklGcK6BjWMZO7tLlceDfEEebygexzyleHtsA/ekOTdr0yz6iizvnj2Iq6IE1awbQn+7Q1G3BaRPp4OMAfVtZaUCbTPV8B5waMgAAIABJREFUW1kpPNxvNuiWkfZ6kq1N+RgK6K0QNAn68ssvoWvXrvD3f//3cPXVV0OvXr3g/PPPDzzmjTfegFQqBV988UXg7zrrrLNg3rx54nMdOnQI9uzZ45/6+nrINaAvKEwnQKZ1MCeAzpnEJQDQcZu72TcrVdCdAJ24zkpJBK7CxoV05yTIBdDJOhvq8isCutTWbgF0fCGAX0tjfOQE6Nwqm6gWd2QSx86gM4AemPMTkiA652eSINxCuK2sFD69eYQCers9yU6CkqBNuQT0ef1nw8KiWQFzOKNVBtBN2/vGG0al29c9bdp3cDHs2fuwCOj7149tAnRvzVqiAJ1oUwDQzcw0093lpE0ZADq3Cz0uoONDYTmgGYwusSZ3cbSJADq+PA5pE2cSF+HiHvBH2T7Nz5O4FndzeXxk1eDQmrWjK7IDdNWmfD3J1qZ8DAX0VgiaBG3btg1SqRR07twZ6urqYPXq1fD9738fjjnmGPjtb38LAAD/+q//CgUFBaG/66qrroIZM2aIz/XII49AKpUKndYC9I8nXJC+AfaEJ2NAz6SN0Obi7gLoZA7dCuhojY2UBHFrYcyxteG5QjpdbRM3CQolI8LBjxETOcl8hyRJ5rklIx5rErREqKBHuLhHVtClGXQK6F4bKW0j5JxyuVU2DXecBQ2ThkH9xHPhjC4TEiDYevItCUqCNsUBdKNNcQHd/PmD/Wb7gL5h/IVpzYkCdK+7ywboR1YNzgzQiTYd+YE7oMfWppiALrq4o/c318tjuhfdtLljcHfVJqw99NdZa5NwgY3HvSRtOrDg5KA2mQq67fLYtgedM4mTZtCRNuERB3/Fa4bapIDenk+ytSkfQwG9FYImQVu3boVUKgW33npr4HHjxo2DiRMnAoCcBF155ZUwc+ZM8bmao4K+/PQZ/qx5XED/0zcuhUPvnuO3bmW8B72NAnooAYoD6BFJEAfodKVNpJO7A6BLK22yAnTmedkkaG6fpjZCYQ86mwQRQI80ibPtQX+aAfT5PZqckr93ShjQvdeCOuXiFkKTBG0rK4V/GTolAYKtJ9+SoCRoU1xAN3BuAN3okwH0qqJKH9AXlQQBfWHRLBHQGw/UioC+b+N4GdDfLnUHdGwSR7VpBQH0pR2aFdAlozhRm2IAOjaQay5t4irm+DG2OXr89UVV7iVt2vudUwPadGDBybH9Ubg96PsOLm7Kk6g/yltDQnvQbdrkXx6j6jnX3UW1aevtZ0PDHWfp+FW7PsnWpnwMBfRWCJoEHT58GI4//nhYuHBh4HHf/e534cILLwSAzNsIaeRiBn356TP8pCYK0KuLK/0Zv5wCOmkjPPJ6ccsCelV3MQkyTu5OgG5pE5eM1bCZDU5ooqoUzQ3o1llFCdBJGz/XQugC6DgJOroiuoJO5/z2HVws70HHu2axSRzT4m4AnVuzZgCdOrjTJKhh0jAF9HZ7kp0EJUGbDKAvLJoVcnE3gP7EGdMDgG7a3bkKem1JhQjoRqcwoDceqHUGdGnNmgjoxsU9LqAvCwJ6SJeEy2Pq5G4AnZrE4dlzzhslW23iLo+xOZy0as2mTXT8im13l7SJ0SRrBR3BOdUmY2K674HeaW2S9qBjQH+mc/DyeNVgtsU9oE0E0A+uvjC8B90D9MNLOvomcVSbOBf3XeWDAjPoojbdcRYsGViegPdRPfmmTfkYCuitEJwRz6hRo0JGPDfccINfuTBGPD/96U/9P29oaGgVk7g4gI7NeZwAfUd56wH6sgwq6My+WbxqzZoEZQjo9NY7CtCj9s3aWvm4GXQJ2qMAHSdq0nyfDdCNCU+sJAgD+qrBwRZ3lARZ16zRJIiroAuAjis3OAlSQM/Xk+wkKAna5ALoRoM4QF+KXNzn9Z8NiyyAjj+++sqr4egrp8LefVW+NjUroD/XPeiPwgB6QJtsFXQHbfJ1KUKbOCf0TACdW59mzo6pQ2DH1CG+Lu2YOiQE8q5t7rkEdEmbMJwHtM97zThtCrS4R60AtexBD1TQzeXxhmubAP1XfdM/T+jy+PCS9M+IKSS4ALr5nlBt2nr72bDltnNUm9r9SbY25WMooLdQNDY2wurVq2H16tWQSqX8eT6zS/bFF1+EE044Af7xH/8RNmzYAMuWLYPjjjsO3nrrLf/vKC8vh759+8K///u/wwcffABjxozJ+Zo1CdCXekmQC6AvcgR01inXBuiWPegBQKdVipYCdA/OcSKUNaBbID0qCWouQLfNomcE6DZXXjSDHhvQHfegc0654h70Z7tZTeJcqxRRSdDzw++AY4/pngDR1tPek6CkaZME6LjF3axS4wB9iTd+VV1cyQJ6tQfoeDZ9UUkF/McFE+BwXUce0Jk96DZA97Xp9eLsAX25BdBjahMFdNPZhd9r4wA61Q/8Hs/5nnCAbn4dpU2fzzw9oBV4HjwXgB7VWRbSJmMS53V3idpU0xUOP9aJ34OOtCmwB91yeWxM4g6uGZ02icMt7hEGpqw2ef9G2t6+razUvzhWQM+HkzxtyvdQQG+hePPNN4EzxCkrK/Mf89RTT8HAgQOhY8eOMHz4cPj5z38e+DsOHjwIs2fPhh49ekCnTp3guuuug82bN8f6OjIFdDNzvtQR0GsYQF955l2w7uuXwaH3RtgBHRnxuAK6UxuhDdCXNwG6nwi5uLjHBPTYLe45BnTO4Z0D9EgX95iAbq1SMBcCIUBHe2b9JMjm4k7n/CJa3CMr6CQJkpxyuSQIvw60xR3Pn+MK+rayUvi7E+ckQLT1tPckKGnaJAF6nQXQ6xhArylOrwClgG7mzrFx3OIBFfDa+X8XAnRfmyyAfnDNaNnAFAP6L/vEA3RjEocA/cjSDiKg+y7uuGoqATrWJuTsze1Bjwvo5n3OBuhYkzCss9pEnovuNY/yRIlbQQ8AujTyRS6PA+NXRpuqujcBulmztly+PMaAvnfLnWFtoi3uuLvr+ZPCgF7XMRLQjfEs1iauswsD+u8uGg+9u4xKwHupnvauTfkeCuh5FhjQF5VUwP1957QYoNcNLIf3x1wDB9eMThSgB5IgAuiBVkJh12xzAXpUm7sE6LiCEZUoRc2DN0cFnVYouIQLt7gbh+HQDDpOglwAnWtxdwV0sms2CtD9pPdbhbEA3UD6trJSuP3kuxMg2no0CWqZiAL0xQMqREBfPKCCBfQFBNBrEaDXedqWKaAbbcoI0E1nFzeD/lRBfECn2mQbvRIAnTMvxe/rHOjS93JT5aZbRHKtTfRryhWgU32K0iYW0Kk2YUDHe9AdXNy5GXS8B92voFtc3CmgY38U6uIuadOW284JaNMtenncDo9qU9JCAT3PAgM6hnIM5HEAvbq40nfbjQL02pIKeO+yr6cBqbkAPdsqRRxAn98jBOg0EYoD6DQJcgF0KbFx/ThXLaCVbCkJ4i4XXAGdzp5Tl9zYSRBds8ZVKRCgRyVBoT3oDhX0A/N7sICOEyGcBPmJEAJ0U6nYVlYK9RPPhU4FxQkQbj2aBDV/NAegm78j14COtSlrQDe6lGNAt7a4W7QJr+GK0ib6ns6ZxMXRJm5POqdN3Jq1WIAudHdxl8f4ciBjQLdp0yun+tp0cM1od5M43OL+Yg9+D3pN18DlMTarxdpEAZ1q05bbzvEhXQG9vR7VpqSFAnqeRXMAOnbCpYBuEqFMAZ2b84sN6BEz6C0F6OwedDIjFxfQ6foaDN02J12cAOEkCCdALpBurfxbEiFcFaFJkPk7aBIUaHE3SdDCk5pW2dAkiFYpUBLkr7KJSIL8VTa2PegkCZIAHSdBgUoFqp77lQpv/2znDgMSINx6NAlq/sgVoJtuLgPouJ3dALqB8yVIm0RA/+I+FtBDLe7vjcisxT0uoDPaRNvbuQo6p024io5b3TGgYy3A2kDXq1FA55zbuY9z2sQBuqRNNiPTOJfHXFs9fVygqyzOhhFOm37cJTR+5WsTA+h79j7cpE0brm3yRxEq6MbFHV8euwA61iasS1ibXj5vIhx/XM8EvJ/qUW1qv6GAnmfRkoDOJUHvXfZ1OLBujJ8EZQzo0h70XAI6dcuNAnSLizu3ai1OBZ2bFae3/tIsOpcEUZCnSRBt6bPN+sUFdK5tkauSRFYpTBIkAbqLEU9EBT1gEoda3GkboQF0m4s7rhJJgG6OmQNUQG9vR5MgKeIA+lIB0JefPsM3f6vxurtcAL2muDIa0I02IUCne9BFQDfbRaIAfSUC9BXugG7zRsF7sKk2cWtAcYs7fk93BXRuppu2vNN5b9vlsWmbp9qEfy9pk9Sa7wzoglcK3TBi06bDj3UKjl89iS6PX+wR3oO+4Vr/8njvvipxDzqrTejyGAM61+Luok1YkzCgqza1x6PalLRQQM+ziAPouErRYoBu9qDHBHTfxT1bQMdJkAToC0+KvWZNBHQklGIyEVFBtwE6TXa4GT+XJChq5ZoLoIuHqZ5HthFikziTBDkAeuQqG+Li7re4C0kQO4M+t094zo9JgqhTLv7vtrJS2D5lKMzopXPo7etoEiRFHEA3mmL+i7WJA3TT5i4BerUH6Ice7RIL0Pf/+So4sG5MENDfGd60Zs0F0PEMenMBOtEm38HdBujI6ZsCOn5vtwG6BN9ZaROqZNvM4qyX3gygi7pEzOJs2tQ4t0/Qxd1cHlNAN9r0Yo9IF3cR0Fdf2KRNnEmcxR9l9z39Q14CcbRJAb09HtWmpIUCep5FHEBfOmgmLCoJA/rSQTOhprjS33fuAujmYy0O6NKaNZc2wkwAHe+bdalSMIBuSySkW38J0rkkiDP2MUkQXWHDHVw9iNtKSCvqNPkJJVtSlYIkQRjQj66QXdxNEmQ1ifMA3ayyCZnEMUY8kUkQ+n6FkiBmD7oB9N9dND4Bwq1Hk6Dmj0wBvbYkc0A3lXgD6AerusPexgXZATreg+7q4o4vjld2CK7/FGbQrYBOXdwxoOMVa5lqE3ov53xFuC6tz2eeHjCH2zF1CDuXjv8+bg6daoVNm+iYllVXOeM7prsLXwSIl8eoxd3p8viNAU2AvuFa2NswWbw8xiZxgT3ocbQJVc/x98t8X8yIFTUvxfp0apfLEvB+qke1qf2GAnqeRbaAbpIaDtDNvHktA+jmsf/38rEBQA8Y8TCALprE5QrQbVWKHFXQxSTIJBOMmY1LFZoDdPwx6pArGeGEEhJSSWfn0EkbZFxA554zlAQxu2ZdAN22Zk1qcQ9dFtlM4kwStKzAySnXJLR0zk8EdJQE/XHs5VDS5boEiLceTYKaN3IN6EaHDKAvEgDddIJFArqZQZcujzlAdzUwldZ/Em3ydcmiTTkBdPQez3Z24fdtpgKNYZzzSTEgyD2G0zKsH5w2md/btCmOrtouBQKV+jjaRF3cjTZ5Le6H3xlunUHHLu6BPejGH+WZznD0qQLexR1/7z1Aj9ImEdI9bVp14Q0JeD/Vo9rUfkMBPc8iLwD9l32iAd0kQlIS5ADo1nU2uK09A0APgbIDoNMEJwrQWWAnkIwrBnEAPaoDwAnQSQXdZhLHJkEG0H/Rm29x31FuXbPW+MkE0STOKQnCc36osiRV0Okxf/7d09Qxt/0cTYKkiAvoRo8MoBsdM4BO959jQDdwbzSuqqgSfnbWnTygY23KANCt41d4w0iOAN12eUwvjiVtwu+/rDYhWI4D6FSbzLG1xnOAbkaHOLd2SVddtEnSw4wB3VTQuT3o9PL47VK/u4tW0EP+KMYkzlTQo7RpXs+m0Qbm8tj820Nr1rjLY0+b/nP09ZBKFSTgPVWPalP7DAX0PIvWBvT/HH09HP1VXzkJ2lHOA/q6MXBwzejWBXTjlrvwJOu+WZMEOQE6k0zkCtAlozhuXpD+3RKgB4x4MkiC2OdjWhbFOb/vnSIDOt01m2mL+xf3wZ4d5U0t7mbOj0uC6jqGKujUKRcnsSY5lfbNBs6kYbB9ylAF9HZ1NAmSQgL0Zcj3ZGHRLF+nahlAXzZophOgYy0zgP5M6WQ49P1umQM60qZWBXSbNhFdMhefLoBOq88u2sRtGNlVPii0Bz3y4hiPRXmVcmnuPJZHiqClNn0Sx6+MNmF/FAroPyhIf4/pmjVqEue6ApReHpuchrk8xoAepU0U0Dltapg0DO45RT1S2s9RbUpaKKDnWeQa0GsEQK8tqWAB/eXzJkLj3D6w54v7mg/QaYt7nD3oUhKE19m4ALprizsBXZpAuMCurfogzfaJsOx9HLc1SvvPpcuF2GY8TOXeGdC9XbMioDuaxHEz6CGTOEuVwrZr1iRBtL2TAjpuIcSAfn9fBfT2czQJkkIC9KUMoBvYpoBuHkMB3ZxaD8ZxBb3WBdBNi7uLP8pbQ9wBHV8eNzOg486uwOpPsgI0AOjEcI2b/Xa9PMaALq1fY2fPqV6RsSv28lio/rsAurM20Rl07vLYRZvwCtDVF0avAN1RHjaJc+juMoDum9S6aBM3g+5p046pQ/TyuF0d1aakhQJ6nkUuAR2bwmFAN9WKVgH0V07NHNC9RCgWoJNWQrxnlrYSioBOkiDOpC2qGm1rD4yqoNP5cPPruIDOfr0SoNPZRcGEx6mCbkuCcAXdS4L8CjpKgkKA7lpBdwR0bv5SBHRSQd900/nQr+tVCRBwPZoENV9QQK/2NMboEwZ0fAmMHycBep2nYRTQzfNQQA84ZzOAvm/j+NxsGOEq6BaTONzZFau7i3R2hQA9W20i7+8u2mTr7rICOurwcgV0F236bPoZvDaR1nqxxd0bwWJXgDpcHttc3Dl/lMAe9J/3TP99ZA+6+VmwrVnD3w+jS34VXQE9j45qU9JCAT3PIteAbj4uATpOjDhAZ/eg5wLQf9E7O0CnLe7SLnQM6NggLiagcy14UkLhkgTZdqHjzwm18aEWdwrLNlgXTXhcAV1Kghx3zYZW2XBJEAV0WwXdq1KEKug4CUImcSYhdkmC4gC6mUNXo7j2cjQJkoICujF4w7vOcwHo1cVZAvqnN8O+jeNzY2Bq9qAbbcoE0F26u7A3ShbaFNXZFaVNUavWoi6PTXeXE6Cjr9+fl2cM7mj7vGRkymki1Sa8Zu3AgpPh0Pe7uQH6GwPC/igU0Ik/SmDDSMTlMadN5nuKvy/GJI7TJm4O/eXzJuq6tXZzVJuSFgroeRaZALpZRVObAaCbFTYLi2ZBVVEWgL720hCgs22EHKBLM+hPNjOgc4mQsMoml4AetWqNne9zBHQpEYrjkhsrCbLtQRcA/egKZs4Pt7ivG8PuQefWrEkmcUdX8IBu5jxtLu5cG6E052fWrb0x8kZIpY5PgIjr0SSoeSLXgG40iwK6+X1zArpTizu9PKYVdNv4FQPo5n3ICuiWy2O/9ZnRJnH0imltp+/rdBY9CtDjaJME6FS3WEAXvnbuwpteIOPL4z339mO16cCCk3ltErq7sD/K3obJVkD3K+i2FaB1HQM/Cy4u7libuPnzwBiW1+Gll8ft5ag2JS0U0PMsmgvQF5XIgF5VVAkLCnMA6FFJ0G/6Zw/okklcOwN03EJIKweugE5/zbU8iod7jGDEE2vX7HJ7EhSngh7p4r6sgDWJa/zeKX57u0kOnQBd2Ie+c9pg2HjDKFBAbw9HkyApsDbV5QDQMZAvEQC9LktAP7BuTOYu7lGAHrOCHlq1Nr9HLG2KA+jYwT0K0KmbO3Vwp7PqZiZdqmpTQA85uEeZwwmaRLu7Av+OKG26r6/98pjTJq7F3bs8Zl3cGX+UI6sGp3+2ftE7/TNkLo8ZF3czfiVpk/l+xNWmgV2uT8D7qh7VpvYXCuh5Fs0F6BywU0CvKa6En541KQ3ou+c2H6CbRChDQGf3oOcoCYoCdNxKGEoqmJY8MzfHzZxL7e2SMQ8+UgIkJUGckVAkpNN/k1BBF1vcuTVrEYDu5OK+92G5xV2ooPt7h70KesCEhyRBoTZCKQnyPqaA3p6OJkFSGG2qKr4rNqCbrSGLStwBvW5gOczrP9sH9B+XlsHBhSfBnr0P++8FEqAbbfIBfc3oaECP8kdxBfQIbTJ70JMC6Jybu2QQx10oU1jG8+SugB7QJgugc5fV5jk5jxTx8pj6oyyxVNCxSRzegx5xeRyqoGNAZ7SJAnpcbQq1uXva9LOz7kzA+6oe1ab2FwroeRatCei1JRXwT0On2AE9mz3omQD6iswAPdMkKAToTEIRAnRLQpENoEtJEJ0Fj5sEOVfRaftiJoCOXdyXoBl00+KO96CjCrpLEpQNoOMWd/xaYCMeG6CbRMhUKTbfch4Udr0mASKuR5Og5olMAR1vEjGAboAdA7nRM+yNcn/fOQFAf/vicen3h7iAbqmgH/1N/2hAN7r0NHJxN/rksgL0+91YbbK1uHPa5HJx3FLaRLu8zK8lQP9idkmoo0v6+m2AzlXSxRn0bxX6q+rYy2NOmwRAP/zO8CCgWwxM/T3oxiTOtLg/VRDyR5G6u6hO4+q5DdBxFX3ntMHw8YQLQC+P28NRbUpaKKDnWWQL6CbZqbYAOv41BfSnh0z1AT3kTtpcgE6rFBGA3pxVCtcKuuSSyyVBUQZxtj+XZv7iADp+rOsceiAJ8h5j/h4J0H2X3Id6yRV0DtCZFndqxCMBesDFnc75OZjE4Tk/EdAts34G0D+bfgY8fvqMBIi4Hk2CmidcAX2ZtxrNFdDNhbHRsSUWQP/dRen/50VA33Jn8wK6y5q1JYyLuwF009nFADrVJRHQmfWZnC5RQKcXvdx+8zjaxP05BXP6a27kylWbcMWfuzyWtCk0g24MTL3L44BJ3PIIf5S1l6b3oO8oj1wBKlXQ2TVrjIu77fLYmJMaMJcuj3dMHaLdXe3mqDYlLRTQ8ywkQF82aCYs84DcBugm4YkCdJMIRQF6aM1aNoBukqBMAT3DNsK4VQoD6NQx1wXQaRJkS3Lon9vWrnFGODkD9Ij5efwYLgkybYT+ijUD6GjOz1+zhgH9mc7WOb+oPej+DPrbpemfL1NBf1p2yvUr6N85NQjo3r/fBughF3cvCdo+ZSjsnDYYfnrWJDj+uN4JEHI9mgTlPnIJ6LjFXQL02pIK+O5pTYC+8sy74HcXjfcr6KEZ9B3lAUAPrVnjAP31YrnFHa9Za01AR7vQcw3oXIWcA3BOm0IdXqSKzXVv4XErA6D44tcF0LkqunR5bMYC9n7nVNj3QO/whhFuBSgF9FdODQK67fIYu7jjPejPn9R0ebyc1yabSVwUoHPaZEzitk8ZClVFlQl4b9Wj2tS+QgE9z8IG6EsdAb02BqCbhKnFAd025/e0YxJE2wgdAd2H9CwBnUskMgF0W0WCA2UXEx6plZC9XBAAnVYqbEmQSSL9JIgY8YgVdNuu2YgqRRxA938WCKDjVkLzb+YAnbYOmmMAfcfUIbBz2mAY20UTobZ9NAmSwhXQDVxLgF5dXBkC9JriykCLu3Fv/44H6NXFYUD3u7u+uC93gI616bnuTeNXcQCd24POALqvS1GXxwjQTfszNhITR5iYbRz0/V3SItdqOp0Lp+3tnKM7Ptxjo7QVPzfWJ5fLY1GbpBWgL/Zo0qa3S31twiZxVJv2NkxuGr/CBqYRFXRxw4inTWyLu6dNW247p6mSzmiTdne1h6PalLRQQM+zaElANwnSg/1muwO6q0ncO8PdAR3PoEuAbhKhXAJ6RIu7NIvOJRFcK7oE29JsX1xAt5nwxE6CmGpFoK3eMoOOkyC6a9Z5zo8Aum8SJ7W4I6dccQadVCloG2Fg1g8lfpEt7ub3Cujt8GgSJIUroGMdwoBuKuWZAPriAWltEgHdXB6TFvdIA1MJ0J8/KahNDKAHdCkK0G3a9FCvzADd8fI4SpsyBXQXbZLmwiVtkjq7rIDOXCJjkzjc4m7a3FkXd6xNT3cI7UEPdXcJa9b2Nkz2TeKOrBoc1Cbh8hibxOFOCaNNdLuI9fKY0aZ/GjoFjjmmSwLeX/WoNrWfUEDPs8gVoNtM4iigP9B3jg/o/4JM4loF0E0ilGtAR0lQUgHdtBy6tJpzgM4lQFwCxyZBTKWFA3RulU3AJA7NoWNAZ5MgBtAlkzhpD3pgzg8lQRygczPoFNBNpSIA5/gILYQK6O3laBIkBQV07MC+NAtANzPpFNCriirh26emtaluYHksQN+3cXy4gs51d2UB6BlV0HOoTRykB1rbJW0iH6O6JDm3c1V4F22yATr+c1GXGG3yu7siAD0wg+5degQAnXNxf9IDdGwS52nTwTWjQ5fHoZ9Fm0kcujw+9GiXwOVx49w+TS7u3veVfq8CDu6kWi6NX6k2tZej2pS0UEDPs2gtQF9YNAsWlVTAT4aVNR+gY5O4NgLo1iSIAXTJdTYuoIcOSViiWgcxPBsIdQF00S2XJEDZALq/ygZXKSLm/GiVIrDKBpvEPdutqUrhYBJnXhv8b44D6DQJenPUN+HYY7onQMz1aBKU2+AA3cA03XFuzhLvcRTQFwmAbszjMKDP6z9bBPQ9ex8OA/rmWwOAfnDN6PiAbluz5gLocVzcs9AmU1FnAV3QIQnQJRiXtImrYEvaxGoUev+16pJNm9Acumlzl0ziTBWdzqD7JnHm8vjJAnYGHY9f7W2YnG5n31cVNtPlTOKY7i4K6Jw20e+V0aaAHkVok/FIUUBv60e1KWmhgJ5n0ZyAXusA6D89axJsue0c2L9+bOsCukmEMKBHJUHCHvSoJIi2E+LKeRxA55zQbYBOTXiaG9Bd29ujqiM0CQrsmjVGccQkDidB4h50roLOATqdQWcq6IE2wpquYUCn+2ZR62QI0IlzO06KjFmPSYK2TxkKxx/XMwFirkeToNyGC6BXFVUGdMgYm7oA+pKB5bCgcJZflZcA3bi4Zw3oni7lxB9leXaAbnSJA3RJm3x9YlrGOaiV2sQlGKcf2zltMK9LAqBzlXMKz1SbJEB3rdz72oReIx/OqTZVdQ9pE9viTiro+PI4AOjIJG7fxvFBkzhTQX+aMYmr6u5XwxLvAAAgAElEQVR0eUxN4qhzO/VIodr0YL/ZkEoVJOA9Vo9qU/sIBfQ8CxdAr/aqDQa+XQHdVCeiAP3ti8fB4beGtByg4ySohQCdGsWxSRBJJGyAzkF1zgCdSVhEQEdfK1elsAE6157PJUE00eJaCG2AHjLikQAdmcTFbXH3Ab2uYxjQcSuh92/BzsZSEuQb8TBGcWalzY6pQ2DWV+9OgJjr0SQotxEF6Ga9J9ah5afPiA3opvJOAX3lmXfBm6O+GQZ0bGCKAN1oUwjQjTZJgP5ij7CLe9IAHb334vf/0Ps7rXRbDEylmXMD5yKgC9rEjUJFATr92rmqOWcQZ708lgCdVtCNizsG9Bd7BCroUot7IE/C/ihvDUn/bKEKOrdhRKqg/++c4kB+wGnTltvOCWsTanM3q0C3lZXq5XGbPqpNSQsF9DwLF0DHVYq4gL54QDhBsgF6aA+6ccrNdg96KwJ6wJDHEdBxq54tmbAlQbY1ajgxyqqCTgGd+ZqjHNwD/x7mea2AbnbNci3uNAmy7EFv/GQCD+hcEsSYxFmTIA7QK4NOuTumDhGrFKGVNh6km8975bxbEiDmejQJym24AHqNAOhVRZW+JlEDU1dA/+GZd8GqC29IG3VlAujGxR1fHhtdcgF0afyKA/SYJnGxAJ2819tWrbFaImgTd5y6uxxa3M3Xy60CFbVJuCzm4Jxqk6miS9q0f17PoDY91imsTQbQf9M/vGGE+KM0HqgNmcTZXNzNKr7QHnRPm/D3ljOJ47QpAOlMq3vDpGHQr+tVCXiP1aPa1D5CAT3PwhXQTSKUCaBXFbURQLfNoMcFdJQIxQZ0SxKUa0DnZtldkqBAZSIC0PEO2qhKC5cESS3uLKBXdQ8BukuLu1+l2Puw/3NIqxR4zZoLoNMKeiAJQoCOEyE632dzzDWJkAJ6Wz6aBEmRK0A35nJRgG5c3DGg/+6i8T6gNx6o5QHdM4mzATp2cQ8A+i96uwH6UzFn0Kk2EV2StCkK0G26lA2gR+lVVKs7u2EEvd9SbaKVd9HfBT8Po1P07w9ok6mgW7TJ1t0VCejGJI7OoMepoM/tE7lmLaBNCMZVm9r7UW1KWiig51m0JKAv8RKqFgN0addsJoAeYRKHAZ1W0bkkiDPisQE6TkQkQMfteFJCZDOOi5sExQV0Wq0IPSeppLOVEWkGHSdBXIu7sAc9ssUdJUEhk7if9wyaxDm0EXJJkDmmUsGuWvPaB7l5v9dH3gTHHntSAgRdjyZBuYtcAbrRpTpkLMcB+qKSCvguAfT/HH09HFg3BhoP1AYB/bPZ4po1pwq6uTz+Re8mF3dOm1YygJ5Jd1cUoONLY6pNEYAe0CYC5ZlU0Dn9ygbQOW2inxNLm9DzclV71sB0wclul8ekxT3y8hgBelSLuzGJk9as4dfGzJ9HaZMBdN/VXQG9HR3VpqSFAnqeRSaAvixLQJ9fOMv/mAK6DOjcDT/XjpcpoNNZ9TjVbJckSDriBYMA6NxsIQvoXBLkaBJnbXGnVQoG0ANr1rwZdGsShGbQcRJk24VuPo7dcs2Z0Uvn0Nvm0SRIimwBvRppFgV0s+t8vgDoiwdUwMoz74J3LrmOB3RhD/qBdWOatMkAOnFx9wH9l31iAbqvSy6AjmbQDaBzkJ4poLuYf1JdsXV3xa6kM1rBahPRJ+7C2wbo/vMyz0db3amLewjQJRd3WkF/5dSmPehrL4V9G66VK+jezyFrEhdxeWw6u3KpTVSfFNDb8lFtSloooOdZxAX0xQPSSVA2gG4qGIsHVPhOua0O6FGrbHIB6LYkiAA6BlPakhcX0KPm/URIj5hDj0qCXAFduhygnydV0KOSoACgc22E68bY96DbAF3Yg26qFDQJ4lzccRthYNUaSYJodQKfOX0U0Nvm0SRIiuYEdOOrYgC9DgH6gsK0Pq088y5499JvpI26cgjoPqRHATpZsxa4OI4L6HG0yXtv9d+z8OFc0Cm0RgA6p1P4mLVrHKAHgDniApkzXHXVphCgC9qEW90Dl8dkBMv4oxys6p6Vi7t4ecztQX+2G9vifmDBybD/oV6RgE5d3EVtYirn5my8YRRc0bk8Ae+zelSb2n4ooOdZZAPo1cVNH88U0FcMngZvjvomHH67FPbuq+Jd3FsZ0P1EyGLEE5UESfPn3CqbOIBOqwk2l1wXQLclQS5z6DgJopWJqBn6qPn3yAq6sGvWBuhxWtzFCvpKfg86raAH1qx5rwG7yoZLgAikU0DfevvZ8JXOIxIg6no0CcpNtAag3993jq9nK8+8C/77kmvh6M97OgH6/vVj4wO60aZsAN2D9EOPdskI0LE2UV3itInTojiXx7vKBwV2n1M4NwZxmQJ6oOOKXBxTbQp1pkV0AcTVJv/yGAN6TVe5gs60uLuYxLF70JFJHHd5LGoTAnRr5ZyZQzfahGFdu7va6lFtSloooOdZZAroxmynOpeA3rgA9u6ryr1JnGsboQOgB5KgHAA6lwSx7rgxAd0kRC7HFdDFVsKIJIg147GBOZMERZrEzevpVkG3ubijOb/9h5a6V9BXyhX0rAEdOedKSZA5PbucnwBR16NJUG4iV4BuDOIyBvQXe6R1iWoTA+gBbbIB+q/65hbQqTY5AjqunrsAujG4jKtNtCJOIbw5AJ2aw2GzUrFFn9Emm4mqNH4lrgD9frc0oD/Wyb4CNKLFHWuTCOiCSZwroOPWdrzm09ejScOCm0ZQFR2f10feBB0LChPwXqtHtalthwJ6nkWuAH0RccrNKaA3TA4Z8bQlQA+sssFz6LkAdJJUxKmgx02CuAq6DdA5SHeqnjPVisg1axZAF9esWSroHKBjk7gjrxfze9A5F3fPJI4mQQbQjVuurYIelQRtKyuFN0bemABR16NJUG4i14BuPscAuvFDqSmu9HXrgb5zfP1qMUA320We655+P4kB6EabfF2KmEGn2hR1cRzQJrSBQtSmcrI+EwE6HbuSID0TbcKz4BygY22iWpqtNnEV9JA2GUDHBqaSiztjEre3YTLs2T03eHnMtbgbk7hf9A5dHpufDdPdtf+hXlZtwhtGAtqEHNuNNm257ZzAHnS9PG4PR7UpaaGAnmeRK0CnVYoWAfQ1o9sOoHuCbQV05rY/W0CXkiAK8KxhHAPncQE9av6cq1Zwz+8M6IxJXCgJ+kXvjADdVkGnTrlSEsTN+ZnvE9dKGNqFbgH01VdenQBR16NJUG4iDqAvIoBOtWnxgAr/c6qRBlFAryqq9PXrhxjQsTZ9cZ8boL8/Mu3gbgP0GDPoojbVMYDOuLj72sQYl1JIly6OIy+PuVZwoktUm6JAXTQzFVrNm0ubJH0K+aMwe9Ctl8dP8pfHuMV9b8Nkt/Eryx50qk10w4gZX8CXx+b7Qy+P2V3oxCcFm5p++9Q5CXiv1aPa1LZDAT3PIteAjhMn82ctCuirBodn0E0SJO1Bb+UKumRmI85wMwlKVBLUEoCOf08f4zp/jp+fzghKSdD+h3pZAd3m4s6tsgkBurcHPbDKxmEPurRmjbZ90lU2tDJhqhO4gkFNexTQ2+rRJEiKuIC+ZGC5r03zC8OAbi6Qa0uaVq0tIICOL5iXDZoJvxpxMxx9/iTYs3tuGNDN+JW3B90J0N8Y0LQH3QA6rqBnAugu2iQAOm1xt2lT5Io17r3dEdBtkB4H0KO0yeaREgXn5muk2hR7/EqaQcfa5LW4B0ziogDduLgbkzijTcv5y2ObNuHvCx3BwnDuAzpxcqdapdrUFo9qU9JCAT3PojkB3XyeWWljkiDTjriopIUAHZvEJQTQA61lQhJkXWfDzMxxSVBUwsN9LMoQh6tO2ADdef68HBkJeYkPfk4pCQoAepwZdAugB+b8PEAP7UG3OOW6ArqUBGFA5yoUdGZ9W1kprB93MZzRZUIChF2PJkHZhwugmz3ni7zqudGmB/rOYcevzOcYQDf/pYBeXVwJSwfNhJfPm9h8gG4ujyVAt2mTp0txAZ3qUqC7C0O6RZu4dWWB93aL2VpzAzqFdEmbXKvn+Pl8QCfa5OsT3TCCtYnOoDuMX4UAnXNx5y6PMaA/nQZ08zNysKq7dQ86BXS8YYRW0I02+fpEWtwxpL8/5poEvNfqUW1q26GAnmfR0oBeN7AclqI96k+cMR3+44IJcPS57rBn1z0tD+iZVinQrB8L6NwO9BiAThOJKDjPFNBN0pE1oKMWSA7Qoy4VQr8Xki68xibg4k6TIAroKzu47UH3kqBQBX1HeVMSZGlxd1mzZhIh8/rTNWu0UkEBHTvrBpKhO86C6uJKSKWOT4C469EkKLuQAB2fuIC+eEBFANCNWRwH6EsGlqcB/cdd0mZcjQvEFncW0NEM+pFVgxMB6GwFnegSbnPnLo7jALpkQEq7u/CvbZfHrh1e3OpPCdCjLhWiLo/xBTIFdCdtsq0AjXJxp5fHpruLqaDb1qwFxq88bTK6FNImYfTKADrVp4ZJw+CTG0fC352obe5t66g2JS0U0PMsWhPQa4or4YkzpsMbI2+Ew3UdYW/D5PYP6DYXd8u8XNzqeZRJXE4AHX/NwtePZ65dAd08lq2ISIAurVlb2sEd0LdPC1cpSBLEArpgEsc65aJKBQZ0Lqmh7u10xRoH6PUTz4WzO9+RAHHXo0lQdiEBOm5ZbxFAf6ZzENCxSZynTQbQpTVrVkC3rQDltInqUq66u6QWd6FN3K+45libqNN7LrTJ1plmM7ULPSeZPacXF742efpktGn/vJ72y+NnOssu7gbQLdoUqqAbbXqqwJ9Bp4ButMnPQdDlsekYiKtNuNpOgX5B4awEvN/qUW1qu6GAnmeRGEB/rJMToAeqFBaTuEASlMMWd26dTS4A3Qhk1Bw6lwRhd1yTULhW0Wn1QkpGaBIUgHJhhl6sUjjM+3HPxyVBznvQuSTI1STOq6CHWtwdTOJCLu739A8khlFJEN2DLgI6qmp8rdPkBIi7Hk2CsgsboOOVnrkAdKNbS9AMumlxb5g0zAf00B70pAA6ZxSXhTaFXNwddomzlXRUeY57gUxb310BPXRhTL7+UHs7/fsEQOfM4VwA3VTRucvjIz9Al8cOLu5Rl8dHVg12M4lD5rUhbULjV1xnV0iXUHs7Hr2i2vS7i8ZD7y6jEvCeq0e1qW2GAnqeRbsB9HeGuwO6SYRoEvRUBKDX8ftmnasUUetsCKCzc3JChSJuEkQBHRvgBACaPKcV0G1Ov0wSFAXo2ISHTYJcKuhmzo8mQVIF3WISF6qgm1U2ERV0dpVNJoDuQbp5LP4cPBf4fy8fC8ekOiRA4PVoEpR5ZArodQPLIwHdaJOZP1+Cjhm/MoD+ziXXpcevIgB934Zr4wE63oMep7trWUSLuwOgm/dMVpuQLuHRHKxNtM3bNna1c9pgqzZx8+fUnwO3l9NLXPxrzhsFt+lTXfrfOcVBzWFm0EPt9YI2/e+c4qYWd3R5vO+B3vbuLtzi/mKPYIv7ujFsi3vAJM4bvzq4+kI4/M7wJkAn/iiHHu3i/zywgI60Cc+gB3SG7kInlXROm7Ch3IhOZQl4z9Wj2tQ2QwE9z0IBvZUAncC5mQFzBnSSRHCA7tLiTgGdJiB+EuQwgy593XFmFTlQp4AemPNznUGPmPOzmsQxe9ClJMgH9Kru4iobG6Bzc+gcoNPZwIY7zoItt50D9RPPhY+uvwiOOaZTAgRejyZBmUdzAnp1cZOmLSGAbp5r6aCZ8G/n3hoAdF+bPpudPaAbbXqxR3xAj+ruMtVSYQbdgCPVJnpxjOeTKaC7aBMGcKw5LoCOIXHntMFBiMbaRACd1Sbv8ph+zQGDOOZiWpx/9w59zrgz6LY96IfePSfaJE7agy6MX+GfB84kLkqbsFt7XG3afMt5UFtSAalUQQLed/WoNrW9UEDPs1BA9wDdJEItAOhc9Tx2BZ0BdM5gx9XJPQDozKxdzgGdadPnqhdc1V5Mgmy7ZgVAD7S4c3N+3K7ZDGbQ8YwfTgo/m34GW0Gnbeu0zT2UBE0apoDeJo8mQVJgQF/q6VFLA/ozpZPhdxeN5wEdaZMV0N8Z3ryATnWJ0yaiSxTQzWUnnT+XLo9pa7n0Xs7NklMtkgDdPNYAeqCCHgHoAX1CF6NOgI60iYI5/rowoLPaxFweH6zqntamxzo1tbg/VZD+XmNAXzU46OJOtMk3ifvivvTPoGQSR1zcOW2i2s0BOtYlDN2+PhGTOL08bg9HtSlpoYCeZ9HagL789BnwqxE3+yZxe/Y+zAP65lvtJnFxAZ3O+aFEKADoywoCcG4FdFylIIlQFKDvva9vmwB02tLHATo7gx4B6NwxX0tzA/rBNaNZk7jGA7UBQA8lQQTQQ0Y8FNCZKoV57SUTnoBbLmMUhysbW28/G+onngsfT7gARnaakgCB16NJUOZBAd3Ad5wZ9JriSh/QzZEAHV8CGED/4Zl3wZujvpnWIqxNBNBDl8femrVIQDcu7tzlMQb0pxhAd9Qm7uI4AOieJkUBeqSDu3DZylXG4wA665FCLgg4Q1F6iYwfE9ImAdCly2MboO+5t18Y0D1tsgL6j7uEW9zXXgr7Nlzra9PefVUhbdrbMLnp8phW0JkZ9IBJHNPZJQE6t2bNHM4jhbs8Xj/uYgX0NnNUm5IWCuh5Fi0B6DUeoHNJUN3Acnhy8DQ4vKQj7N1yZ9OsHwPopkqRL4BuNYiLaHGXkiEJ0FkjHksCRFfXSDvR2X9DlGEcSYysSZABdIuLO1ulkFbZuAA63oNOkqAop9woQDdJEAZzugs9CtA333IerDzzrgQIvB5NgjKPOIBudGn56TOgprjSGdCNLnHatGRgeW4A3WUPOgX0f+4oAzrVJk+XfG2K2oNOtSkC0Pfe15d935d0yQbo3IkCdPoxDtCxcZ2kTVSTAtokaJD18hg9P26lx9pkdqFHtrgbQCcu7qaCTk3iOED3TeIMoAsmcXTNGtYmCughbSIXx1SbuDl0o01bbjsHNt10Psz66t0JeN/Vo9rU9kIBPc8iF4BOEyBTHTeftwhVKZahJMgkV8sGzWx7gJ7JKpuYLe6RgE7mtzMxieOq7zgJkqrn2FWdO1y1IirpYRMkIQkKVdAf6pWuUlR1b/kWdzqDXtM1UEFnjXjQxYqpVOD2QXPorlnzGJoA4apG/cRz4eXzJkK3joMTIPJ6NAnKLOIAet3Acng8S0BfNmgmLPO6u4zW+YDubXgIAbq3Bz2ngM61uMcF9O93c7o8tpmXUkDnQDeqG0q6MKYz6BTSbfpkLm2pWRsH6BKoRwK648E6hwG98Xun+Nrku7hXdU/rU03XWJfHvos73YNOtWn1hU3a9PxJvDaRy+PG750SvjxG3gFRgE7hnAI6vmw2c+g/1MvjNnJUm5IWCuh5FpkC+uIBTatqKJhTQKdJUOIA/WkLoJP5c2sStOBkH9JDgB7h4B4L0JlKc3MAOpcE2aCcA3S2lTCipZ1eQnBJkHHJFQHdJEGOgM6ZxPlJENo1a6ugR7m4B1oJUWXJALqBdOrcbgN06uBuKuif3jwCbuw+JwEir0eToMwiE0B/nAA6nkHPFNDfGHljus1499wmKGIq6AFt8gD98DvD3QD9+ZNkQEf+KEdXEECvc9QmBtBNFTVKm2h3F718tQE6py2ciztdp+asTZxGkAo61Sw6O2/TJjpPT6vrkjZFXh7jFvcniYs7WbPGtbiHXNw3XNsE6L/qK2uTcHmMx69o3oB3m3PaZMavqDZhoK+feK4P6P99ybVwRpcJCXjv1aPa1LZCAT3PIlNArxtYDgsKZ/lrapIG6EdeL+Z3zXImcS0B6GjXrAjoaJ2NUxIUYWQjAbqUKHHz5/jQJIheKNgAnU3g0O+59kX2eaNm0F0q6GbOzzPiCVTQLS7uzhV0D9CNUy6XBFHvAFxFx4ZwuAKBP0Z3zmIjnk9vHgGbbjofPrxmDHQ4oV8ChF6PJkHxwwXQ8a+fOGN6CNAXMYBe7fmicN1dGNBrSyrg8dNnwBsjb4T968c27UK3mMTt//NVcHDN6CCg2y6PswF0YxBHtcnTJefuLu+i07Q8Y20y77ecNtH39kAlGl0eY23B7/NRl8die7uDRti0iXaHRfmgBP4NzHNyFXSrP0rU5bGDizu+PN7bMNl3cff3oL/Yw/8Zoi7uBtD3P9TLr6AbbTKvBR1B2DltsL8yDfuhmIthTpsooG++5TzYdNP5sOmm82FC99kJeO/Vo9rUtkIBPc8iDqAv8oxzWgvQpSpFPgB64LafudnnAF1Kglznz+MAuq2CbjWII10A9LlDz8kA+v6HeqVbCI0JjwToz3S2V9CjVtlgI55sAZ3MoEcBup8EkUo6ddXFSdAnN46ETgXFCRB6PZoExY9sAP3+vnOgqogH9O+cNscK6ItKmgB9OQfouILutbhnBeg/78kDOl0B6qpNWJcsgB7wRyGATtvcbVs68Pu1/z7OXB5z7e6mck6d3p0AnZlF90ehmG40XEGPqpxTbfIN6gRtwpfHrD8KNomr6QqHl1guj5GLu3R5TF3c/RZ3qk1PFfAt7t7PADYwxa8HhfMdU4cEK+hEm7g5dB/UkTZ9cuNI2HTT+fDDM++CY489KQHvv3pUm9pOKKDnWbgAOk5mljUXoNd1hMbNt8qAbmkjzAmgx02C8Py5lwThRMgF0G1JkOSGHgXoLi3uTkmQBc5dAD3K6ZdLgmiFImtA55Kg57o3AfqqweEW991zYd/BxbD/0NJABT3klOsI6KZKgfcJc4DOthGS2XLq5E6r6FtvP9tPgkwi9PjpMxIg9Ho0CYof2QD6d0+bAwsKZ/kaU4sg/dunyoC+dNBMH85riith2aCZ8MbIG+HA2kvDgL59mh3Q3xvhAzrr4v7LPvEAnVkBGgvQiTaFAN17n6La5J8IQP9idknwotcR0KPa29kLZKIh+GuxmZbSfwPn6eKqTdSbRdSmh3r52uS7uNsA3eLiHro83nWPvAf9mc4+oEtr1ly1CXdq0cMBOtYnrE0fT7gAPp5wgV4et4mj2pS0UEDPs4gCdLrKJpeAbuYDlw6aCVtuOwf2//kq2PPZbKtTbs4Anc6gS4BuM4lzAHS6b1YCdJoESavKJEMbG6BzSZCtvTAK0MUqOtNa6AroUZV7F0APtbhHATo1ifOMoBoP1IYAParF/eiKcBLEATpeZ2NLgvDuc9zizs2g4zl0Cui//trNCRB6PZoExY+4gI5n0L972hyY7wF6rXfJbAN0Uz3HgG4e8+uv3QwH14yGvQ2TmwDdA6O9W+4MjV9xgM5qEwfoeA861aZmAvSANlkAXbo4xu/TtKWd06YoQI+jTVgXrR1e3tcvahNpy2cr60IHGDYwddYm0921XPZH4UziApfH0po1YcOI+dmggI49cDhtopfAWI+itAnr2ac3j/Dh/JMbR8K4rrMS8P6rR7Wp7YQCep6FC6CbJKg5AL26uBKWDCyHX3/tZjj0/shkAfryGBV00kqYVEC3VdalNnea/GQM6IwBXIskQQ6A7re40ySIA3Smgn50RfpnhSZBIqCX8y7uHKDT1vbtU4aG99OiJMgkQJ/cOBJeOe+WBAi9Hk2C4gcH6FiLsDYtHlCRU0A3+jW/cBa8ct4t2QE6MYnLGNAjurv89Z8MoFNtwroUWLeWAaBTszVu3EryPokD6H6beVxtQl8/q03M3Ly17V26QKbaxOxBF2fQn+6Q1iZsEvd2aaDFfW/jArmCvnF8eqTCYhKH16zRy2NsYIq/P5LOmG4u/GsD5tzn4Bb3T24cCR9PuEC1KfFHtSlpoYCeZ9ESgI7bCJcOmglLvD3p5jF1uQD0KKdcV0Bf0UKALkG6C6ALc3M5B3SUmLBJEAFy7usXq+Q5BHQ/CaK7ZmNU0KmLu1MFHSVBGNCxEY/NxT0qCaKALlbPURKEAf3jCRfAqgtvgB6dz02A2OvRJCheZAvoBspzAuirL/SrmK0G6BHaFAfQQ6NXjDa5ADq+NA5U1AWz0ihAjzo2bbIZxWFtwpViTnto9Z/VJnJJYAX0qD3oT8raxJnE0Qo62+JuTOJIBT2ONuHRK2r6xl0eU/NSTptMi/vGG0bBy+dNTMD7rx7VprYTCuh5Fi0F6OYxy3IN6O+NyB2gP5kFoNMkCM2fszPoDoAuzctxSRB1zKWJEWfCE2nEQ5Ig/LW4AHqkeztXseDa4V0APSoJyrTFPeYe9EwA3bQR0iSI2zVLZ8/9JMirZhgHdwPoG28YBXP63J0AsdejSVC8kFrcOUBf5Bm6YUA32oQBvaqoEu455e5YgP7yeRPhyBsDZEAnM+hR2iQCuvFGcQV0Mn7lA3oMbbIBOn7Pki6PA11dFm2KAnQXSGfBWaikh7QUXTBw8+fsaFe5YF5K9NFoE15Ll5E2MQamPqCjGfT9h5byJnGWFvecXB4zusRpU8C8VLg83njDKHh/zDUwqtPUBLwH61FtahuhgJ5nIQG6SX6yAXSz5gb/PbEA3cXFPRNAl5KgDAAdu7i3FqDjpCVbQKcVeVdA575e1ohHMuCRqhQWQA/tQZ/fw3fJxUnQ0RXIxT2qxV0wiWNb3C1thJIRj20GHRvq2JIgDOcU0I2LOwb0P1x1JZza5bIECL4eTYLcgwP0JQKg13ra9PjpM6C2pALu78sD+oLCWVZAN3COAf1fhk6BndMGNwG60abt00KXxwfWjbFr0+vFmQE6p01kD7oN0AMz6BZA9/ehO2gTB+jSe3uUNu2cNjg0v+6qTU6AbtMm7u/0nl+8tEaP5yroojbh7i6zBx1fHnMmcS4rQC0mccYfxaZNrpfHWJO23HZOwCCOapN/4exBOr483njDKNh4wyiY9VW9PE7uUW1KWiig51k0B6Ab5/dqVD13BvQd5eE5vwwA3TqD7pIE/YABdJwIOQI65+JunUMne1tDgE4SoShAp5UK/HH8OS4uuVGALrrOW+bQxXk/8jWETOK8FkLzugZm0KYRpUIAACAASURBVA2gL0GAvrJDsILurbKJ0+Le+MmESJM4MQky62xIe6XNxZ2DdNzijisbdM2agfMN4y+Ej66/CAq7XpMAwdejSZB7cICOjUslQF88oAnQl3iAblauYUCvRaBvA/QVg6fB1tvPDgK6cXEXAP3Q+yObtOmtIfzlsQ3Q/7lj7MtjF0C3bRcx71N0Ft358thy+Rob0CsHxAJ0rD1UP+nIlVWb0BE1UeguM69TSJvMmjXGHyVweYxd3N8YEAb0OCtAhRZ3X5se6hUwBozyR5EAXdIm6vqOK+gGzj+6/iJ4pnSyurkn9qg2JS0U0PMsmgPQa4orYV7/2U6AXl0cBHSzC70tAjpXpXAFdAzpzoDOVKCj5tAlQLcZ42Aot5rECTvc2blybsYvKgGKC+g0CcrUxX33XD8JOrD2Uuc1ayygm32z6N8fAnRhnQ2uoHOAXj/xXL9KgeF8/biL4adnTUqA4OvRJMg9JEBfYgH0ZYNm+nvQzZo0A9vVxZWwsGgW3N3nblhQOMt3a6/1NolkC+j7148NATo3gy7uQc8E0OuatIkCOqdNFNCxN4oE6NwKUE6bDFjjy2MXQDet1Phj9PJY0gasD5I2cYCeS23C3V0BQPf0yQnQcYu7ZxKHL4+xi7sI6KsvZP1RpO4u3NEXpU22NWvYIwVrE368TZvO7XRnAt6H9ag2JT8U0PMscgnoi0qaWtsf7ucO6NXFlfDi2bfD/vVj04D+2ey2Aei4UuEC6BjOswF0UkmwATquUuyYOiTglEsfGwXI3JEAnZtVxO2DbHt7HECXnHKjXNyZOT/q4i4Bul9BtwC6S4s7fQ0woOOW9SgXd1p1N0mQqVLgJGj1lVfDmV1uSoDo69EkyC0yBfRqBOjLvZl0A+jVxZVwd5+74cF+swP7zm2A/sQZ09OAvuXOSECn2pQxoEe1uC/LMaDP7dOkS5I2ke4ufBlLu7niADrWJmn2PKRTpLWdAjrWC2oORx9v9UTJUpsCl8dRJnGmgm5c3OO0uOMKOm5xd1izxmkT/h6FLo8FUI/SJtPevmH8hQFt+u9LroVU6vgEvBfrUW1Kdiig51nkCtDNrF8cQDethwuLZsFPz5oE+zaOdwf0dWMyB3QXk7gsAB0nQeaE5s9jAHookbAkQS6ALiU/WQG60O4ufu0RlwtiEuSZ8eQU0NeNsbe40wq60OJuraB7raK+sz3699oAPeCYGxPQTQJkTm1JhSZCiTuaBEmRLaDXesZxHKDP6z/b/zwD6Pji2BnQPZO4jABdcnF/pnNQm1Z2YAE9oEsugD6/h+yPwmiT0STXy2MK0JwWSdXzHVOHsEZxXMcX9UaRAB23nXMmd1ibbDpku8jmLgTwHDq7Zo1q0woHkzjOxd3TJmMSF+jucvRHMd9rrE20847bMkJ3oHPatGPqEL8tnra4Y21699JvwDHHdErAe7Ee1aZkhwJ6nkVLA7pJhEz1YmHRLDdAp3N+uQZ0mgRlC+gE0qMAna6zcaqgRwA6TnSM0NIkiEs+uCRIAvQ4SZAN0MUkCM0XmtfFCdDNrllqxCNU0GO1uNM2wqe9JGhZAQvoXBLEzflxcC4ZxVFAN0mQmUHnAP3P114CoztNT4Dw69EkKDqyAfQH+s6BuoHlsPz0GYHOrpritIv7/MJZ/go2Y2xaxwB6VVElrBg8Dbbcdg40br41Y0A/smpwdoBOXdwNoGc5fmXTJqpLVJtCXiMR7+m29va4gG5+H6lNqPWcXnhTbcJ/r+TlIl0eYy00uh5YsybtQV8uaxOuoJsWd66CHnJxJ3vQpctjv2vivr6B3fBc9VyCcwnSDahTbZIuj+cXzkrAe7Ee1aZkhwJ6nkU2gL6waJbvgusC6ItQ+6AzoDNr1lwAPfaatUwA3ZYENQOgh0CXqVJwSZCp0nLrbLIB9NCKNWZXrgug0+qFNQHynovdNSslQa4t7l4FPdLF/e3S9AUQTYIQoEurbDhAp6tssCt7qFJhmfXDLu4fT7gANoy/0E+APrr+Ivjo+ovgsk4zEiD8ejQJio5cATreKrJ4QIUP6Fizar1tI9UI0I1+PTl4Gnx684j0e4QA6Ps2js8O0G3jVxTQfxAD0D3zUm4PeqaAjt/XOW36fObpojZxAJ6JNmFA5/Qp0I4f8bVzc+dSSz7WRfp3/e+cYr7Fnc6g2y6P47i4mxn0HeVNLu4ZXB4H5s+jtIkAOnVyb5g0jDWKowamVJtqiisT8F6sR7Up2aGAnmeRDaAbB/ZlnrOuBOjm7zFAXlUUAei77rHuQc8a0KUkiAL6MgTo1C03ysU9RhIUSoSYGT9aqYgC9FwkQbiNL7TGhs6eW6rnLoBOWwet5j8E0ANJEAPookncqsF+EuTi4h7ag46SIFqlwKMOPqCjKkUcQA+0uqMEiCZBBtDxrlkD5groST2aBEkhAfqyQTN9U1IJ0B/sN9v/HFMpN3pkAN20tFejC+OqojCgP3HGdNh8y3np94jdc5sP0CP2oAcujpdFXx5jXeK0yVxs5grQQ2ZxEV1d2A+F0yf6eaxviXCBHAL0CG2i+kMBnT4mjjbte6B3cA96TVc4/FgnOLK0g+zizl0e0xZ3D9D9CvrqC5ta3J8/STQwlbTJBuh+9VzQpq23ny1rk/d4ugcd69KH14yBr3WanID3Yz2qTckNBfQ8i2wBfYkDoJsEygboPy4tg8Nvl0LjpzfHBvRYRjwZADq7ziYmoGM37yhAxwlGFKBHzZ7jJAgnQhycS4DO7pllqufWJEgw35Ha2sXquUmCvNcQA/r+eT1lQKdr1jxAjzSJi1plg5MgpkphEmAJ0M3lCU1ocMUics0aU0E3e9BNK+Gfr73En0PXeb8kHU2CpLABOt4cYvRlKQH0ZQ6AjivoNZ7LO14VajTPr6B7s8D++NWWO6Fx860+oNM96FkD+koB0Jk1a1GA7r8nRQE60iXOJI52RrGAbmlxx1rEaRPdNoIBneoIfl7b5TGtdEdpE+1AoxtUrIBOtMkA+oEFJwcBnXZ3GW36ZZ/ADDq9PBZb3I2Lu2lxRyZxIqDP7cOu/8QXJ7SCvq2sVGxxt60AxXvQP55wQWD0av24i/XyOHFHtSlpoYCeZ9ESgI6TIA7Qq4oq4YkzpsP2KUNh//qxkYDuYsQTmEH/ZZ9oQOdM4hyqFK5thBKg2/ag26oUNkCXKuRSEoQFOZQEkQTMBuhSe7stCeJaB6UkiK6yCVXQaRJU1zE942fZgx6ooEsz6AbQTRshdnH3kqBABb2mayxA/2z6GSHYNslN1Jwf10ZoKhUmCfrTNy6FdV+/DP70jUvhD1ddCccd2yMB4q9HkyB7YEA3urPMAuh1A8thycByX3/w52BAv/eUOb52Uc3CgG78VZYNmgnrvn4ZHFwzOgjoSJv2bRwf2IMudne9XtxqgE79UUSTOAug09GrEKCTNnEJ0OnucwzpuFrOaZP/a/TceB+6tP4TwzQ3fy5dHHP6hLUQa5PU4m48UiIvj5GLu5M/CgL0A2svhSOrBoe0ib08Np19pLvri9kloX+70RmjSUZzuPb2KG0ygL7xhlGwftzFsO7rl8GH14yBP33jUhjXVefQk3VUm5IWCuh5FpkA+rJBM2GR1w5oA3RjvmMDdNNe+PjpM+DjCRfA/j9flVtA/2WfaEBfmeUedJwEGadcAdDpDnS2lVCYP8eJiNQmboN0WqngHk/bzGkS5CcjQgIkzZ9zbez0uf1KRUQSFAB0swedA/QlliTItLi/NQT2rx/LJkH7Dy1NV9C9n0Xzc3dk1eD0z5dJguicHwV0MoNOk6DPZ57um8TRJIjOn+MkyH+8AOg4Cfrj2Mvhj2MvhzVXXwGXaKUiQUeTICkyAfQ6D9CNIan5HPPxRSUV8N3T5sDiARUBQK8qSs+tU0A3+rbyzLvg6JMF4Qq6DdDfH8kCekCbftE7faIAXdqDnkNAx9rEAjqjTSGNiNAkCujcWjXp8hj/no5eWSvoDttFbIAe6vJiLq2/mF3iA/qee/uFDUy9FveDVd2bXNzjGJhyLe5cBZ12d5mLHaaCTv1RTBWdfr8C5qWMiSldBcppU/3Ec31t2njDKFab9PI4aUe1KWmhgJ5nsXv3bkilUjCv6A54tGQKPDZgMtSUTIXqkqlQVXyX/9+FRenzaMkUqC2ZAg/2nw4P9p8ONSVT4dGSKVBdMhUWFN0F8wunwfzCaXB/v+nw3Nk3wobbB8OnM4pg07Ri2DRlAHw8aRB8PGkQfFI2ENZPHOKf/7l5GOx4uBtse/9KqN9UAfWb74X6T2ZA/capsGX9bbB17TehYfU3YNv7V8K29y6H7e9cBDveOh92vnkOfPbvpfDZa2fCZ78+Az5/uQQ+/7di+PznhbDr+VNh1097p8+Pe8CuZ06GXU93g10ru8KuH3aGXf/YCXat6AC7lhfArv//BNj1/50Au5acAJ/XnQCfP+adR0+Az2o6wGfV3vk/HWHn33eGnfO7wM5HusKOh7vBjgdP9M/2+0+G7fefDNu+1wO2fecr0PDtntDw7Z6w9d7esPWer8KWu/ukz5xTYcucU6F+1mlQP+s02FzRN3jK+8FfZhbCpzOK/NfPfx2nlqTPlAHW80nZQPikbGDg1+Z8PGkQ/1jzd08t8Z+Tns3l/cTzl5mFgRP4mqcM8P9e8etHz22e3/w9m8v7weaKvlA/67T063d3H9h6b29o+HZP2Pa9HrD9/pNhx4Mnws5HusLOv+8Mn9V0gM8fTX9Pdy0vSH+v//nE9M/Ci33h81cHwc43zoJt718JW9d+M/3ztvle2Lp9AWzbWQvbdtbClq1zof7TOVC/YRJse+9y2PHW+fD5q4PSP1//fGL6Z+gHBemfldqC9M/H/C6wfe5JsO17PaDh2z397/fmir7wl5mF/v8L+HXfeMcZ8NGtZwb+n1h/81D4n5uHwfqbhzadiUNgw+2D/eN/zs1D4U83Doe13zwH1n7zHFhz/Xmw+tqvwXtXXwjvXjka3r1yNPz3lRfDu1eOhtdGjQ38v13t/f9u/h9f4J35hdNgnvf/M/5/2/z5wqK7/PeGBUV3wbzCaTC333T4Xt8Z8HD/aYHzYP/pcH+/6TC333SYV9j0sQf7T/cfM7df0+/N4/HjbMd8vnkOc8zHzdf1vb4zAp9n/ux+78/x7+/v1/QY/HjzHPRrvx89D/467u8nf83f7TsJUqkU7N69u7WlIHFhtOnhwjuhpmQq1JZMgUe9Y3528c+f+f38wmn+4x8bMBkeLZkCNSVTYX7hNP9n1uic+dyH+0+Db586E+b2m+7/bJu/89GSKbD89Dvh89oCqN84ldWmrWvGwbb3r4Tt717SpE2rzmO1adeLfZu06Sc900fSph84atP/6RjQph0Pdwto0/a5J7HatPXe3rD13t5NuuS9Vxldqp91mv++y2mTeZ/2D3pfx/pjfk//jDsmPzB6YHKGTVMGND0Ho01Gc8zXh/+LtSn09du0Ceuh+RjSJvzcVJ+23vNVXpvmd4HPqjvA57UF8HndCenv74oO6e/9MyfDrudPhc9fLoHPXjsTtr9zETSs/gbUb5gU0KaGHVVpbdp8L9RvnAoNH1wNO946Hz577cy0Nj1zcvrv+0H6OSRt2nrPV/3v9+byfunXxPu3mu+FrzNYh4g2mV9/dOuZsPGOM1htWjfhbF+b/jBuBLw/dhT8/qqL4PdXXeRr1KyvzvTAUE/rn2NUmxIWCuh5FvX19ZBKpfTo0aNHTyud+vr61paCxIVqkx49evS07lFtSk4ooOdZfPnll1BfXw+7d++GPXv26PGOSQ7r6+tb/WtJ2tHXRl8XfW1yc3bv3g319fXw5ZdftrYUJC5Um/ij/y/pa6Ovi742zX1Um5IXCugaGtA0/7hnj87f0NDXhg99XeTQ10ZDIzeh/y/Joa8NH/q6yKGvjUZbCQV0DQ3QN21b6GvDh74ucuhro6GRm9D/l+TQ14YPfV3k0NdGo62EArqGBuibti30teFDXxc59LXR0MhN6P9Lcuhrw4e+LnLoa6PRVkIBXUMDAA4dOgSPPPIIHDp0qLW/lMSFvjZ86Osih742Ghq5Cf1/SQ59bfjQ10UOfW002koooGtoaGhoaGhoaGhoaGhoJCAU0DU0NDQ0NDQ0NDQ0NDQ0EhAK6BoaGhoaGhoaGhoaGhoaCQgFdA0NDQ0NDQ0NDQ0NDQ2NBIQCuoaGhoaGhoaGhoaGhoZGAkIBXSOvYtWqVXDdddfBKaecAqlUCl566aXAn//tb3+DRx55BE455RTo2LEjXHrppfDHP/6xlb7alovq6moYMWIEdO3aFXr16gXjx4+H//mf/wk8Jl9fm8cffxyGDRsG3bp1g27dusEFF1wAr776qv/n+fq60KiuroZUKgXf+ta3/I/pa6Oh4RaqTXyoNvGhuuQeqk0abTEU0DXyKl599VV48MEH4YUXXmCToJqaGujWrRu88MILsHbtWrjlllvglFNOgb1797bSV9wycc0118CPfvQj+OMf/wh/+MMf4Nprr4X+/fvDvn37/Mfk62vzb//2b/DKK6/A+vXrYf369fDAAw/ACSec4It5vr4uOH7/+99DUVERnHXWWYEkSF8bDQ23UG3iQ7WJD9Ult1Bt0miroYCukbdBk6C//e1v0KdPH6ipqfE/dujQITjxxBPhiSeeaI0vsdVi586dkEqlYNWqVQCgrw2Nk08+GX74wx/q6wIAjY2NMGjQIHj99dfh0ksv9ZMgfW00NDIL1SY5VJvkUF0KhmqTRlsOBXSNvA2aBH388ceQSqXggw8+CDzu+uuvh0mTJrX0l9eqsWHDBkilUrB27VoA0NfGxF//+lf4yU9+AgUFBbBu3Tp9XQBg0qRJcM899wAABJIgfW00NDIL1SY5VJvCobrEh2qTRlsOBXSNvA2aBL399tuQSqVg69atgcdNnz4drr766pb+8lot/va3v8G4ceNg9OjR/sfy/bX58MMPoUuXLnDcccfBiSeeCK+88goA6Ovyk5/8BEpLS+HgwYMAEEyC8v210dDINFSb+FBtCobqkhyqTRptPRTQNfI2pCSooaEh8Lhp06bBNddc09JfXqtFZWUlFBYWQn19vf+xfH9tDh8+DBs2bID33nsP7r//fujZsyesW7cur1+XzZs3Q+/eveEPf/iD/zEuCcrH10ZDI5tQbeJDtSkYqkt8qDZptIdQQNfI29A2wnDMnj0b+vbtC5988kng4/raBOOKK66AGTNm5PXr8tJLL0EqlYLjjjvOP6lUCo455hg47rjjYOPGjXn72mhoZBOqTeFQbYoO1aV0qDZptIdQQNfI25CMeGpra/2PHT58OC+MQ/72t7/BrFmz4NRTT4WPPvqI/fN8fW24GDNmDJSVleX167J3715Yu3Zt4IwYMQLuuOMOWLt2bV6/Nhoa2YRqU1OoNrmH6lI6VJs02kMooGvkVTQ2NsLq1ath9erVkEqloK6uDlavXg1/+ctfACC9euPEE0+EF198EdauXQu33nprXqzeqKiogBNPPBF++9vfwrZt2/xz4MAB/zH5+trMnTsXfve738GmTZvgww8/hAceeACOPfZYeO211wAgf18XLnAbIYC+NhoarqHaxIdqEx+qS/FCtUmjrYUCukZexZtvvgmpVCp0ysrKACB9G//II49Anz59oEOHDnDJJZf4brHtObjXJJVKwY9+9CP/Mfn62kydOhUKCwuhoKAAevXqBVdccYWfBAHk7+vCBU2C9LXR0HAL1SY+VJv4UF2KF6pNGm0tFNA1NDQ0NDQ0NDQ0NDQ0NBIQCugaGhoaGhoaGhoaGhoaGgkIBXQNDQ0NDQ0NDQ0NDQ0NjQSEArqGhoaGhoaGhoaGhoaGRgJCAV1DQ0NDQ0NDQ0NDQ0NDIwGhgK6hoaGhoaGhoaGhoaGhkYBQQNfQ0NDQ0NDQ0NDQ0NDQSEAooGtoaGhoaGhoaGhoaGhoJCAU0DU0NDQ0NDQ0NDQ0NDQ0EhAK6BoaGhoaGhoaGhoaGhoaCQgFdA0NjZzFpZdeCt/61rdCv05CfP7559CrVy/YtGlTiz/3jTfeCIsXL27x59XQ0NDQUG2SQrVJQyOZoYCuoZFnUVZWBqlUClKpFBx33HHQr18/KC8vhy+++CLrvxsnPrt27YK9e/dm/XfmKr797W/D1KlTW+W516xZAz169IA9e/a0yvNraGhoJD1Um1o+VJs0NJIZCugaGnkWZWVlMHbsWNi2bRvU19fDb37zGzjttNNg4sSJWf/dSahMHD16NPSxAwcOwEknnQT/9V//1QpfUTrOPfdcePzxx1vt+TU0NDSSHKpNrROqTRoayQsFdA2NPIuysjIYP3584GP33nsv9OjRw//9r371K7jooovgxBNPhB49esC1114LGzduDHzOvn374M4774QuXbpAnz594LHHHrO2ERYWFsI//MM/BP6O4cOHwyOPPOL//mc/+xmUlpZCx44doUePHnDFFVfAvn37xH/Lpk2bIJVKwc9+9jO4+OKLoaCgAJ577rnQ41544QXo2bMn+7kvvPACXHzxxdCxY0c499xzYdOmTfDmm2/C1772NejUqRNcdtllsGvXrqw/b/78+XDxxReL/xYNDQ2NfA7VpuDnqjZpaORvKKBraORZ0CTo448/hiFDhsBXv/pV/2PPP/88vPDCC/DRRx/B6tWrYdy4cTBs2DD48ssv/cdUVFRA37594bXXXoMPP/wQrrvuOujatWvGSVBDQwMcf/zxUFdXB5s2bYIPP/wQli9fDo2NjeK/5aWXXoJUKgUjRoyA1157DTZs2AC7d+8OPe5b3/oWjB07lv3cK664At566y1YvXo1FBYWwujRo2Hs2LHw+9//Ht599134yle+Ao8++mjWn/fqq69Chw4d4NChQ+K/R0NDQyNfQ7Up+LmqTRoa+RsK6BoaeRZlZWVw3HHHQZcuXaBjx47+zF9dXZ34OTt37oRUKgVr164FAIDGxkYoKCiAZ5991n/Mrl27oFOnThknQe+//z6kUin49NNPnf8t8+fPhy5dukSa64wfPz404zd//nw4+eST4bPPPvM/NnnyZOjfv3+gMjJ27Fi49957s/68NWvWxP73aWhoaORLqDY1fa5qk4ZGfocCuoZGnkVZWRlceeWVsGHDBlizZg3MmfP/2rufEJnfOIDj383aZdlNtFH+1KTUrPwpkRuR3Zu2SK22XEU/N3EQJxcuahUrysWBAy7rYkWzyoQiq0lIdstNatoyl+XzO2y/Yeyu9af299S8Xrf5zjz7nWcvz/Nu5jvff6Krq6vm+ri3b99GT09P5HK5aG1tjQULFkSWZTEwMBAREc+fP48sy2JkZKTmb2/cuPGPN0Hj4+Oxc+fOaG1tjb1798alS5dm/HGg7u7u6OnpmXHOnZ2dcejQoUljDxw4UHNsx44dcezYsZpjHR0d0dfX99fjXr9+HVmWRalUmvH9AtQba9O3sdYmqG8CHerMVNf5bd++PU6cOFF9nM/no7OzMwYHB6NUKsXLly8jy7K4detWREQ8e/bstzdBuVxu0ichHR0dNdf5ff36NR4+fBgnT56MdevWRXt7e7x7927aueRyuejv759xzvv375+0WcrlcnHhwoWaY4sXL46bN29WH1cqlWhsbIyhoaG/HlcsFiPLsppPNwCYYG36NtbaBPVNoEOdmWoTdP/+/Zg3b158+PAhPn78GFmWRaFQqD4/NDRUswkaGxuLuXPnxvXr16uv+fTpU7S0tEy7CdqyZUscPXq0+rhcLsf8+fNrNkHfGx8fj+XLl097j9ZyuRwNDQ3x+PHjGed89uzZ2LBhw6SxxWKxeuz9+/eRZVnNVxKfPn0aDQ0N1Vvy/Om4iIjLly/HihUrZnyvAPXI2mRtAiYIdKgzU22CIiI2bdoUhw8fji9fvsSSJUuit7c33rx5E/fu3YvNmzfXbIIiIg4ePBirVq2KwcHBGB4ejt27d//0h3iOHz8ey5Yti0KhEMPDw9Hd3R0LFy6sboKKxWKcPn06njx5EiMjI3Hjxo1oamqKO3fuTDmPQqEQc+bMiUqlMuOcX7x4EY2NjdWvJf439vPnz9XX3L59OxYtWlQz7sqVK7F69epJ5/zdcRET//f/6163AKmzNlmbgAkCHerMdJuga9euRVNTU4yOjsbdu3cjn89Hc3NzrF+/Ph48eDBpEzQ2Nha9vb3R0tISS5cujTNnzvz0Vjblcjn27dsXbW1tsXLlyrh69WrNdX6lUim6urqivb09mpubY82aNTXXyf2or68v1q5d+8vz3rp1a1y8eHHasadOnYpt27bVHDty5Ejs2bPnp+f8lXGVSiXa2tri0aNHv/x+AeqJtcnaBEwQ6EBdGBgYiHw+X3M7ntly/vz52LVr16yfF4C0WZuAHwl0oG6cO3cuRkdHZ/28/f398erVq1k/LwDpszYB3xPoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAApeXwTAAAAC5JREFUCRDoAAAAkACBDgAAAAkQ6AAAAJAAgQ4AAAAJEOgAAACQAIEOAAAACfgXQ6TMPsX2YwEAAAAASUVORK5CYII=\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = {\"data\":fimg.data, \n",
    "          \"npt_rad\":500, \n",
    "          \"npt_azim\":500, \n",
    "          \"unit\":\"r_mm\",\n",
    "          \"dummy\":-2, \n",
    "          \"delta_dummy\":2,\n",
    "          \"azimuth_range\":(150,200),\n",
    "          \"radial_range\":(0,50),\n",
    "         }\n",
    "resn = ai.integrate2d_ng(method=(\"no\", \"histogram\", \"cython\"), **kwargs)\n",
    "resb = ai.integrate2d_ng(method=(\"bbox\", \"histogram\", \"cython\"), **kwargs)\n",
    "resp = ai.integrate2d_ng(method=(\"pseudo\", \"histogram\", \"cython\"), **kwargs)\n",
    "resf = ai.integrate2d_ng(method=(\"full\", \"histogram\", \"cython\"), **kwargs)\n",
    "fig,ax = subplots(2,2, figsize=(10,10))\n",
    "\n",
    "jupyter.plot2d(resn, ax=ax[0,0])\n",
    "ax[0,0].set_title(resn.compute_engine.split(\"(\")[1].strip(\")\"))\n",
    "jupyter.plot2d(resb, ax=ax[0,1])\n",
    "ax[0,1].set_title(resp.compute_engine.split(\"(\")[1].strip(\")\"))\n",
    "jupyter.plot2d(resp, ax=ax[1,0])\n",
    "ax[1,0].set_title(resp.compute_engine.split(\"(\")[1].strip(\")\"))\n",
    "jupyter.plot2d(resf, ax=ax[1,1])\n",
    "ax[1,1].set_title(resf.compute_engine.split(\"(\")[1].strip(\")\"))\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "seven-andrew",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Without pixel splitting\n",
      "11.9 ms ± 321 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n",
      "Bounding box pixel splitting\n",
      "25 ms ± 623 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n",
      "Scalledd Bounding box pixel splitting\n",
      "39.2 ms ± 1.01 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n",
      "Full pixel splitting\n",
      "111 ms ± 285 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "# Compared performances for 2D integration ...\n",
    "print(\"Without pixel splitting\")\n",
    "%timeit ai.integrate2d_ng(method=(\"no\", \"histogram\", \"cython\"), **kwargs)\n",
    "print(\"Bounding box pixel splitting\")\n",
    "%timeit ai.integrate2d_ng(method=(\"bbox\", \"histogram\", \"cython\"), **kwargs)\n",
    "print(\"Scalledd Bounding box pixel splitting\")\n",
    "%timeit ai.integrate2d_ng(method=(\"pseudo\", \"histogram\", \"cython\"), **kwargs)\n",
    "print(\"Full pixel splitting\")\n",
    "%timeit ai.integrate2d_ng(method=(\"full\", \"histogram\", \"cython\"), **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "alternative-hacker",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "This tutorial presents how pixels are located in polar space and explains why pixels on the azimuthal discontinuity requires special care. It also presents a comparison between the 4 pixel splitting schemes available in pyFAI: without splitting (no), along the bounding box (bbox), a scaled down bounding box (pseudo) and finally the splitting along the edges of each pixel (full). The corresponding runtimes are also provided. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "pursuant-bulgaria",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "runtime: 25.268s\n"
     ]
    }
   ],
   "source": [
    "print(f\"runtime: {time.perf_counter()-start_time:.3f}s\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}