Aula_3_Processamento_Regional.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "slide"
    }
   },
   "source": [
    "# Processamento Regional\n",
    "Prof. Dr. Gustavo Resque  \n",
    "MSc. Tiago Araújo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "%matplotlib notebook\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from ipywidgets import widgets\n",
    "from IPython.display import display\n",
    "from ipywidgets import *\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
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   "source": [
    "def noisy(noise_typ,image):\n",
    "    if noise_typ == \"gauss\":\n",
    "        row,col,ch= image.shape\n",
    "        mean = 0\n",
    "        var = 0.1\n",
    "        sigma = var**0.5\n",
    "        gauss = np.random.normal(mean,sigma,(row,col,ch))\n",
    "        gauss = gauss.reshape(row,col,ch)\n",
    "        noisy = image + gauss\n",
    "        return noisy\n",
    "    elif noise_typ == \"s&p\":\n",
    "        row,col,ch = image.shape\n",
    "        s_vs_p = 0.8\n",
    "        amount = 0.2\n",
    "        out = np.copy(image)\n",
    "        # Salt mode\n",
    "        num_salt = np.ceil(amount * image.size * s_vs_p)\n",
    "        coords = [np.random.randint(0, i - 1, int(num_salt))\n",
    "              for i in image.shape]\n",
    "        out[coords] = 255\n",
    "\n",
    "        # Pepper mode\n",
    "        num_pepper = np.ceil(amount* image.size * (1. - s_vs_p))\n",
    "        coords = [np.random.randint(0, i - 1, int(num_pepper))\n",
    "            for i in image.shape]\n",
    "        out[coords] = 0\n",
    "        return out\n",
    "    elif noise_typ == \"poisson\":\n",
    "        vals = len(np.unique(image))\n",
    "        vals = 2 ** np.ceil(np.log2(vals))\n",
    "        noisy = np.random.poisson(image * vals) / float(vals)\n",
    "        return noisy\n",
    "    elif noise_typ ==\"speckle\":\n",
    "        row,col,ch = image.shape\n",
    "        gauss = np.random.randn(row,col,ch)\n",
    "        gauss = gauss.reshape(row,col,ch)        \n",
    "        noisy = image + image * gauss\n",
    "        return noisy"
   ]
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  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true,
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     "slide_type": "subslide"
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   "source": [
    "#img = cv2.imread(\"dataset/cameraman.tif\", 1)\n",
    "#n = noisy(\"s&p\",img)\n",
    "#cv2.imwrite('dataset/noisy.tif',cv2.cvtColor(n,cv2.COLOR_BGR2GRAY))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Operação Regional"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "* Uma operação realizada em uma amostra que representa uma região e produz um único resultado\n",
    "* Podem ser descritas na forma de função"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "\\begin{equation*}\n",
    "    s = T(I[i:n,j:m]) \\\\\n",
    "    s\\,=\\,valor\\,de\\,saída \\\\\n",
    "    T\\,=\\,operação\\,aplicada \\\\\n",
    "    I\\,=\\,Imagem\\,de\\,entrada \\\\\n",
    "    i,n,j,m\\,=\\,Índices\\,da\\,subregião\\,da\\,imagemm\n",
    "\\end{equation*}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Convolução"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "* Uma operação linear que emprega uma grade de coeficientes, conhecida como **_kernel_**\n",
    "* O kernel determina a vizinhança de determinado pixel e define como essa vizinhança afeta o resultado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "def get_ax(rows=1, cols=1):\n",
    "    fig, axes = plt.subplots(figsize=(4,4), dpi = 100, nrows=rows, ncols=cols)\n",
    "    if rows == 1 and cols == 1:\n",
    "        axes.clear()\n",
    "        axes.get_xaxis().set_visible(False)\n",
    "        axes.get_yaxis().set_visible(False)\n",
    "    else:\n",
    "        for ax in axes:\n",
    "            ax.clear()\n",
    "            ax.get_xaxis().set_visible(False)\n",
    "            ax.get_yaxis().set_visible(False)\n",
    "    return axes\n",
    "     \n",
    "def desenha_matriz(textarr, colors):\n",
    "    txarr = textarr\n",
    "    clrs = colors\n",
    "    size = 100\n",
    "    linewidth = size//100 if size//100 > 0 else 1\n",
    "\n",
    "    im = np.zeros((txarr.shape[0]*size, txarr.shape[0]*size, 3), dtype=np.uint8)\n",
    "    im[:,:] = (255,255,255)\n",
    "    for i in range(txarr.shape[0]):\n",
    "        for j in range(txarr.shape[1]):\n",
    "            limx_start, limx_end = i*size, (i+1)*size\n",
    "            limy_start, limy_end = j*size, (j+1)*size\n",
    "            im[limx_start:limx_end, limy_start:limy_end] = clrs[i,j]\n",
    "            \n",
    "            cortext = 255 - clrs[i,j]\n",
    "            cortext = cortext.astype(np.uint8)\n",
    "            \n",
    "            if len(txarr.shape) >= 3:\n",
    "                cortext = (int(cortext[0]), int(cortext[1]), int(cortext[2]))\n",
    "            else:\n",
    "                cortext = (int(cortext), int(cortext), int(cortext))\n",
    "            \n",
    "            text = str(textarr[i,j])\n",
    "            padding = 0 if len(text) == 1 else 2*len(text)\n",
    "            \n",
    "            cv2.putText(im, text, (limy_start + size//(3 + padding), (limx_start + size//2) + size//8),\n",
    "                        cv2.FONT_HERSHEY_PLAIN, size//(30+padding), cortext, int(linewidth*2.5) , cv2.LINE_AA)\n",
    "\n",
    "    for i in range(txarr.shape[0]):\n",
    "        im[(i+1)*size-linewidth:linewidth+(i+1)*size,:,:] = 255 - im[(i+1)*size-linewidth:linewidth+(i+1)*size,:,:]\n",
    "    for i in range(txarr.shape[1]):\n",
    "        im[:,(i+1)*size-linewidth:linewidth+(i+1)*size,:] = 255 - im[:,(i+1)*size-linewidth:linewidth+(i+1)*size,:]\n",
    "            \n",
    "    return cv2.cvtColor(im, cv2.COLOR_BGR2RGB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
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   "source": [
    "texto1 = np.array([\n",
    "[-1,0,1],\n",
    "[-1,0,1],\n",
    "[-1,0,1]\n",
    "], dtype=np.int)\n",
    "\n",
    "texto2 = np.array([\n",
    "[30,50,2,44,40],\n",
    "[40,60,1,20,20],\n",
    "[70,90,120,120,120],\n",
    "[100,80,61,50,50],\n",
    "[90,200,61,60,60]\n",
    "], dtype=np.int)\n",
    "\n",
    "cores2 = np.array([\n",
    "[200,200,200,200,200],\n",
    "[200,255,255,255,200],\n",
    "[200,255,0,255,200],\n",
    "[200,255,255,255,200],\n",
    "[200,200,200,200,200]\n",
    "], dtype=np.int)\n",
    "\n",
    "cores1 = np.array([\n",
    "[255,255,255],\n",
    "[255, 0 ,255],\n",
    "[255,255,255]\n",
    "], dtype=np.uint8)\n",
    "\n",
    "texto_media = np.array([\n",
    "[1,1,1],\n",
    "[1,1,1],\n",
    "[1,1,1]\n",
    "], dtype=np.int)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
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       "\n",
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       "\n",
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       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"828\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1fe1bc68940>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = desenha_matriz(texto1, cores1)\n",
    "im2 = desenha_matriz(texto2, cores2)\n",
    "axes = get_ax(1,2)\n",
    "axes[0].imshow(im)\n",
    "axes[1].imshow(im2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Suavização"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "* Diminui o ruído de uma imagem\n",
    "* Causa um borramento"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "def suavizacao(caminhos):\n",
    "    \n",
    "    fig, axes = plt.subplots(figsize=(8,3), dpi = 100, nrows=1, ncols=4)\n",
    "    plt.tight_layout()\n",
    "\n",
    "    start = caminhos[2]\n",
    "\n",
    "    radio = widgets.RadioButtons(\n",
    "        options=caminhos,\n",
    "        value=start,\n",
    "        description='Imagem: ',\n",
    "        disabled=False\n",
    "    )\n",
    "    slider = IntSlider(min=3,max=17,step=2,value=7,description='Kernel')\n",
    "    slider_std = IntSlider(min=0,max=10,step=1,value=0,description='DvPd')\n",
    "\n",
    "    def update(args):\n",
    "        path = args['new']\n",
    "        img = cv2.cvtColor(cv2.imread(path,1),cv2.COLOR_BGR2RGB)\n",
    "        media = cv2.blur(img,(slider.value,slider.value))\n",
    "        mediana = cv2.medianBlur(img,slider.value)\n",
    "        gaussiana = cv2.GaussianBlur(img,(slider.value,slider.value),slider_std.value)\n",
    "        \n",
    "        for ax in axes:\n",
    "            ax.clear()\n",
    "            ax.get_xaxis().set_visible(False)\n",
    "            ax.get_yaxis().set_visible(False)\n",
    "        axes[0].imshow(img, cmap='gray')\n",
    "        axes[0].set_title('Original')\n",
    "        axes[1].imshow(media, cmap='gray')\n",
    "        axes[1].set_title('Media')\n",
    "        axes[2].imshow(mediana, cmap='gray')\n",
    "        axes[2].set_title('Mediana')\n",
    "        axes[3].imshow(gaussiana, cmap='gray')\n",
    "        axes[3].set_title('Gaussiana')\n",
    "    \n",
    "    def updateKernel(args):\n",
    "        update({'new':radio.value})\n",
    "            \n",
    "    radio.observe(update, names='value');\n",
    "    slider.observe(updateKernel, names='value')\n",
    "    slider_std.observe(updateKernel, names='value')\n",
    "\n",
    "    update({'new':start})\n",
    "    display(radio);\n",
    "    display(slider);\n",
    "    display(slider_std);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Kernel da média:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1fe1b6ff588>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_ax().imshow(desenha_matriz(texto_media, cores1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c5c8848d53584f61a70b8c6a3066aa75",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "RadioButtons(description='Imagem: ', index=2, options=('dataset/cameraman.tif', 'dataset/lenna.png', 'dataset/…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "35aab7795dd3460da8cf149dde7c32b5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntSlider(value=7, description='Kernel', max=17, min=3, step=2)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c51f571e28f946f18bd25aecd9eaba2b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntSlider(value=0, description='DvPd', max=10)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "suavizacao(['dataset/cameraman.tif','dataset/lenna.png','dataset/people_street.jpg','dataset/noisy.tif'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Sharpening"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "* Inverso da suavização\n",
    "* Destaca as bordas da imagem\n",
    "* Aumenta o contraste"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "def sharpening(caminhos):\n",
    "    fig, axes = plt.subplots(figsize=(10,3), dpi = 100, nrows=1, ncols=3)\n",
    "    for ax in axes:\n",
    "        ax.clear()\n",
    "        ax.get_xaxis().set_visible(False)\n",
    "        ax.get_yaxis().set_visible(False)\n",
    "    start = caminhos[2]\n",
    "    plt.tight_layout()\n",
    "\n",
    "    radio = widgets.RadioButtons(\n",
    "        options=caminhos,\n",
    "        value=start,\n",
    "        description='Imagem: ',\n",
    "        disabled=False\n",
    "    )\n",
    "    slider = IntSlider(min=3,max=17,step=2,value=7,description='Kernel')\n",
    "    \n",
    "    def update(args):\n",
    "        path = args['new']\n",
    "        img = cv2.cvtColor(cv2.imread(path,1),cv2.COLOR_BGR2GRAY)\n",
    "        \n",
    "        media = cv2.blur(img,(slider.value,slider.value))\n",
    "        residual = img - media.astype(np.int16)\n",
    "        sharpen = img + residual\n",
    "        \n",
    "        sharpen = cv2.convertScaleAbs(sharpen)\n",
    "        \n",
    "        axes[0].imshow(img, cmap='gray')        \n",
    "        axes[0].set_title('Original')\n",
    "        axes[1].imshow(residual, cmap='gray')\n",
    "        axes[1].set_title('Residual')\n",
    "        axes[2].imshow(sharpen, cmap='gray')\n",
    "        axes[2].set_title('Sharpen')\n",
    "\n",
    "    def updateKernel(args):\n",
    "        update({'new':radio.value})\n",
    "        \n",
    "    radio.observe(update, names='value');\n",
    "    slider.observe(updateKernel, names='value')\n",
    "\n",
    "    update({'new':start})\n",
    "    display(radio);\n",
    "    display(slider);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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dvg/5SlPuTnqUY/6i97dPfZvxcgj7dCvHV8pcKAUWDFys1nxcRWSlQIrBXajwBEBH/dpA/2///u/N6c5zWlW7lopsFJgpcCuFPiv//qvzalPfeojLXVWjDzSDv3a8ZUCe0WBIzNGrvi4Vyyy3rRS4EhLgX0ZH/dpA/0b3/jG5oQnPOHmFre4xeY4xznOEinjET3RiU60+cEPfrD5n//5n+W6b8cv//Ivb374wx8u39vH9nllff/739+5d5bT7+985zub4x73uEudfh/72MdevjtXvdWljb/2a7+2lHme85xnc4ITnGD5rS7Rvs9//vOb97///Zsvf/nLm8985jPLY9/73veW93yf73znW/ri0FbPnOIUp1je+32sYx1rpzuyCb7+9a8v13784x/vnN/uszI6avuPfvSjhW5HP/rRl0v6r/5vf/vbS1lf/OIXl+9vfvObyz3q0mf3aaO2uPdb3/rW5gUveMFCC/c6KtMzHdXlmd2inOiKZo7vfve7Sz9PdapTLd/Knn3Qv4tc5CKbr3zlK5tznvOcO3Ue4xjHWM450GS3Q59+6Zd+aemb73ile/GZfs5j0vNoRzva8qzxvsMd7rDQHw+e9axn3ZztbGdbxlr/eeQcsj3QRd+075//+Z8XOusv2qmvMcULeAON3Rv9OjfbZAw69Nl/dDUu2qcPylXOiU984qUdxzzmMXf67FnlT16u3+rXJ9fiS8/G852Ldnj5ox/96MLL+HbS69///d+Xej2rvvia3HRoozbjSfTV7mji2zg1Zp7xu7bos7G4znWus3yTsyPrEUbe5ja3WehszPGh32QKHxrX5BTdjbXx2T7waHI8ZbixRWf1qSOMVJZxUWcyrBzj7lz3+w0PfJ/0pCddZIisO/CBesN32EhWvva1ry3tVB7eOd3pTrfcr07PwAe80j2dd+9Xv/rVpR73KEu9+MyhHn0IX/xWB3l1Dk+ik357Vl2+/SeX7odp/ntGufqjzyc72cmWOrTLO3aV41k0StaOf/zj75SpzXgbLmije/toh7rDyOae5gT/3eN+5aD/Gc5whs1//ud/Lk4r17VVO7/whS8sZaGJ74lV6KEc366F1RPTtjEyetZWz+APGS2Pf/zjF2w6+clPvrRd/4y1+UU/0cv9aOiZk5zkJBtKknail/M+Zc7hg+Y67Q9v9E+ftSE6uK5tPvqMF4wpGXCvOroeBtXf6I2fjHPzULiER7RXvepMXvSxOU4Z6AZ/XdcGfI8v0EFdytffiXOeSR+JD5zTdufRzPParzzl1I/+O6ct2udebXr0ox99pMbI8PEqV7nKwjfNKQI/MNH4kBXfjuaYZG5iJHoas2QHvfFz/IHHP/vZzy4y57fsT/Xjb/yS3mDOSg67X5l4B29c6EIXWsbw0pe+9I4MOO8cGXrta1+76Dwf//jHF17TD3L3m7/5mwt/4of0Df3UFm11PgyAEfQX58LH+lG2qjLSZ7QZT4cz4Z7/2pXeoFx90U7lwQF4p73acfazn31Hfvbbb7+lbrJGFt3noMeFK9E3Ha/zYbJvsu3QRrQ+97nPvdABvaNDfb/qVa+6+djHPra51KUuteCBerXzk5/85EIb+nv0qO/NFWRQOc2HzXvuM47o04EGxixZbq5w7sxnPvPCI2c605k25zjHOZY6L3OZyyy8Eo6oCw3xCXq8/e1vX9rlPFp86UtfWuozrp/+9Kd3dMhsBvfBTTQJH7VF3eHGJz7xiYX3/T/jGc+4g8d4SnthlmtolA6MR9VL7/OtjvqND5XnXNFp+Gt8jMWcN/EF59k73/nORfbMW2jjHvWxk+C/530bV1hoXJVtrFwzHnhPm/FkeB+2utdzykUr9dIN1OH7zne+8z6Nj/u0gW7ADcg973nPnYk7kEBgjDAN722je4LrtoHuP8AmEB3znn73nfLoP6bANIAFY/ifcqcsoIgpz3/+8+8oiSnGBAazYqr3vOc9C8DHxL6bINQD0E5/+tMvzSOo2qDPGToZPtuKNmYEnI7aN42yzgMAR4qEtviNxtqr/BR2gufce9/73s1LX/rS5TmAot8A4MDSjAN+gNjhnLr01xhMB4l7AAQa6odrv/Ebv7EAlTL8dx790QhYUFo7CC8Ac65+1w99dGQARh/n3KuPGfEZ9O5B07/5m7/ZvO9979uZ2I3vhS984WWiA3Do4Mj5opx/+Id/WNoJiM9ylrMsfc0YxwvogH9e9apXLUCVYoC2TVi7Le9wHzrECwCsiQNv6ofn5vikSKY0a6v6taOJyrk5Tt2T8aVPTZZo/JGPfGRpfzzl2uQH8gt4A/H6rq3OA3xHDji/42v9hwGNxxw3MvTbv/3bCw9Gp205ODL8DyMpO2FHcmNM0SmDEz0yRpsMJ41SWFJAjWsY2Tm4lDy4jn8yLOLTlL4wsnH2Tf4yNMlXyqNxdH06erQff2Ws5XwKO7S3SRkP5zjFg2ih33gj4232FV5loKvH78rLkFN25eJBcgyz9FfftFVbcnxSkikAlNQPfOADOw7DFMiUtRQk7UnhTI7DJ9fCRnWoWznwPwVSm8hVRi8ccg0eOpzPmQvrKVzRwn3kF/2NhzoyXtXlQCOKWYZi2BBGpvxoh+fNER/60IeWetGH0qpOPIQu7sOv6uHgi37/+q//uihcHJ0w0vNobOyaHz37xje+cfmvTLRprqqt0SXHn2e0P55XXoa1a40Hvpvzpf47lxGsb+iODind6Q1hfrIXX2gn7NMWdIi3p5Oxdk2F3/joVwZ5hnuOTOWRL+XgWd94NKfHHDf9eNjDHnakxsjwkWMdrSjlHH3x1X/8x3/sOACjnWtkf3vedX4aZXiArqfM+CCdxrNwhFxn2MdP5M0Y0unCKs+lA/nNkPLsZS972UV2cgCqR5+MLZ54/vOfv+OMJBcwQjnwVHsZPmTKM2Wj0k/gBl6CWRm7Ex9z8DQ364s20DPwm+v4m3EYBqIlOdE2WOA8Jx1a6O95z3ve5T8HwyMe8Yjlt3bS05pfcsT1P6xMf1B+R3joG+apk+NryrVzORducIMbLO3nOIEFzvt9rnOda8NY5TyIFmTLOZikTnXoD/ob7xyU5BNPpDOhkXHLudncCBfQ+kEPetDmXe9619IFAY5LXvKSy+cCF7jAousbJ7L84Q9/eMFHuPHKV75yoRPnAj1Y/cYWTeCoPmn3Ax/4wEX3jPbuywme/aJe9+b4VQZe1078kSMnHNNP9+ifMXcePdCv+QIfMLbRB+95Bh0cjWO8rSy0gYnKMi+97W1v25lrlKtPnqstaG/OKSip7+mraK1tZEF5xsfY4S3fZMwYT31HPzyPZ251q1vt0/h4hDLQMySaTDFAk1sGN8Ib9O2IskGmkACxmGdbgc8j5HyDXFnzWs8ljLMuz+XRZLQx4jIoMVNOBGXoT0oiYCkiX0SEcBE2AqsMfXPkIPC7qBCGnhNKglFErefyNhVR0weGYYohOmHmjDjPY3yMzjh/yUtestRT5EK5Ccu2AR6dTDhF7CZQpBB3X5PctiKtj7zKPtXnOyUuhcW5DPGMxozuwLX6cyg0Uc/7lTMj6so0Nn/1V3+1CLXJE2Ci241udKNlbDLQKx8odAAck3RgWTvxo8nM83nf/+Vf/mXzj//4j9usuYwP0HEoC1gB/ADXJG4cMnRnNBUgoa1x9GyG7zRspxOl8XI/4JvjmtHlnhQFGQI5Qj71qU8tz+B1E696Z+S88ctQ1060zgjPOE8Zng60Iq3uXQ30n7FICuh97nOfZezDyBn9yFmDx5vs8G6GdsyGHzLk8HfHVJbgYDhlDPGhstRBUaAUTBxyb5N95eEViqn2+uB9Y+tZOKGsooHTcCJHybPr8Rz+adIuCqz/eLqIcIrXxMMw0zkffFXEUpvRK4+88ovGO+fZDFfn0Y4yTFHh/SebZQXod8boNMCLxpGR+uLeMKTzOe2S45TWIuEZdTCIzMEU9fjgj4zZovnaktLsuzkhR8rESHWRQX0uyl5kPszQ5iLhr3nNaxY8o9jiJQ7Ki13sYjvZPNoUXYy3MvSvaJd5xpiHIc2Rzuuf/sjQ8VGn57XbHKHfMNKzObJzbsAwY6pvjXPGlvFLGex+95YFFb3V05igQfPkNkbqf/JXxBwttFE/8EjnyaN2u6acHCjGqvPaGV9rK3rhTWOHlmjquv9hpDHW/oc85CH7tAL6cxPdYXwifLzTne60yAE9qzmsqvB2ckDfQl9OI/dPLCPTjDYGLwNjN3xk/KvDgUdk2JnTlXXa0552cd7NMt2LJ6a+YdydVxan2+Uud7mlTfSF9DN8glfpI8bceHNm4rN0IH1n9PmUBYln3Y9niuzjvaKSORG0H68XeQyXysoqQp3zSr/IqnJgkDbAxMollzDh9a9//ebhD3/4z2WA6r++5fxXn//JXtmy2/hIzsssDLd6Jud/jkRZFGgJz8iR8YFBbIIcavo8dSH9V4f2kWvPJavRTZuNIdoURPNcjlltLtotG1gZV7ziFRcMe8tb3rK53/3ut2AZvbJ5TJvxmvEqwo8GAj1kX9+0h4PEXG2M6cf0r7e+9a2b173udQtm59TWHrzCCeFZczb+YpSjQ/qpfob16Zs55d2H1uihv0X4o7c+lClS4MT9ZTujg3bQGZRR9oXy2Ra+yZj5s8wINCEPOdqb87SxcdHOieXKr83d1xyfrZCBbjz25SDPEcZAz0goEl3KCKAEXv4ndKW8EhAMPCPNRRG3I+oBggGcRgHBKtKcohUwzwjMNC5TYNV1wQtecGEeykXtmMZ0xj3Pl3ryECoPc2PYjNsEJiMH45psAgpMmBEfOMXQpbl4FtATNu0wEaCt/xgbaBeVwdwEg5C/+c1vXsDVQflIyam+hE+ZU3HL2EuBQNv6U+Qq2s2U5gnE/SbQUoFMepThlPcAE51nNLdJ5sDm/KmMlgaVsZjS7D8j9DnPec6SlmSsOF6Mh6UJJqM8v9EXHfNuAl18iM4mqQ6TGnB3HsCim7KMyQc/+MEFwB2l8Pac8cFLPimppc0WVdOeFIH6mIGunD1FnbVhGuQZI8YouuTdBPh4iQyij/aIoOXQUU8RdL9zJtUPbShLQ3uNX7yjrhwJyax7im75vUbQ9zfQTfLJA7kq/RZN8aFvWOOeItLGAZ/iZ9/xizHH+0XtmoB9Gy/nw0jn4Ow2Rs5oOv7Tpuk0bIJWFlkuiyYHpvNlueB/7c+II6dlvuCp5APf6kepyvoLizNwwpk8/xk5s11oomx8pi14Wb34TRuLOKhT2WWHUPJERKSdwoUUqxxR0VD5YaTvDL74Ht3Uk8LRvNackaFWee7XX/XAGWNtKZC5g+zlHFSP/s5ocdjdHDEdMRMzc2ZqSwbkxMhS+5UvZfESl7jEkjLKkFG2tqQUFomBe2gGP3I0Uhr1wxImZRlb5xga+BGf4D+0olSJ2JXWmlKWs2Kmsmt/PKh8bUKbnMwZIkWkc16XkTH53280LKU3R0KZEEXsjYv71KFcdeqrPlCiw/CyHzKuM5A8k46SI4dM61fznWfwSY4EfdMOZTbHPvjBD96nFdADm5sPi2sZ6L//+7+/GGMO8wn5Rjvj8E//9E8LhvlP9sh7GXkMGMYD4zpMgzHuKats8gcD3/n0ONc8a35sHp6Gv3uVG6+lR9ENGn/znINxhv8z0JSHF/THeHMEcP6Yl1sKoa3qT28jk8lwcwP5TIeJp7S7tk18yBlAR8kJyplBHtCEnosGyjQnoKv/ZPxZz3rW5mlPe9qOQV3kuSy/xrs5Jboqt4CDPsOOjPeyqZJh9EC3sBVOhY/6gz63ve1tF72csep/mKQPZYzFJ749v43fkzfVqf7m14xD95R1gB7oxJF+rWtda4miX+lKV1r47+IXv/jCG+Gf3zCCrmlMOWm0jU6Ib0XS1aFvIu36oJ6LXvSiy9yDlxj3b3jDG5b5CNYZA7hg/HLWlD7uujFAU2Maz+ZM1jd9RCeGeRkjpcBP/ncvGhYEDf+dj3einfEXyMInvskZ7OdcwC904iLIXoUAACAASURBVMYkx1K4riw00GZt0r6WqeVUx9OTD2EB2SEf+ox+N7vZzfZpfDzCGeh7Au0ZeStS3r15cAxuUW/MZ3CnoT6Nd4wOhAD0jMjPdReUg1JYMtZTqFIOlUk4GJUiRbVzRv61E9MURQdAGBQDA1jMVBQ+w2oaxhk/gCTnhImm/qR4uQ/DY1QKjvoIW+nSrZ9snQbwM1E98YlPXBibgKLtthE3x2R6H52fxnr3Ff3KgEuJnWMxjQ339b9JqYg64cxRUfTA/QChCXE3nknpdG0a9foYvSoDvV796lcvRrZDPQzz1sIHitv1pMQqHwBRlosauhcPppAbT+MNiGoP/pLWKQrlKEXNOPkdL+VBLjqItzKsPTdTxGujc0Xmon+Rq9pY5CyDvAgauqBTTgkTh7GjhOCP0t8AJJ7XltIwq19/UwyKHuSgSLmc9NQW9ZVWjZ7Xv/7192lw3RNWHZbnU0Dve9/7LjKSoZCCoq5+M6Ry3FAG8FGe5bDBGDQp+m4tbUpIKZvGgVEURhp3fNcEXVognNGuuZSkSK37M+yVqz2lohnv+oLvnMdjJmFt1m/8o+yMGveUnuoZdSqj/qtP/8mNZ5Sl3hQX13ISTuUwZV75aKjO1tGjDwXqRS960VIWXnZ9KjuNQd8Z36WSh5FTCSyi55mwn8xkuOrXnHMavwxC9BF9CDOMkz6HsdFkN4wM/8LIjMdS2VNo1ZlCr+8iePquf+Sdsm6M4F4RENdnBLEUemNTGq2y4qV4J0O2zBptU6Y2UXzxHzrpr7pz+DXXwLQMZWVWbzyW46NMi2Q0bMIr6B99cyaWoYBm8U5RR2PlHF6AV/GM+vFSjqWc7GSm8ch5pJ6coznMmgPD35w3yb9+KhPdH/vYxx6pMTJ8tNa05VfJWQ67MKKML+PMMGLMho9oCqvQFXYWBcRvpbArh75mHGGntcUc1tKXi6K7xzOcSwxnzm04gD9zjPfb2HPSwwey9Ou//us7877yy6hJRsgAZ2sRePXnsCdT+I9stP49wzh65Lxr2VHOLzpiRj3e0191oK1+6YN+k3V9wruMS31EJ7raTW96053IPr50vvXRcz7MOHeuVPK5RGhiU04Q7U3fRcOcwTmR03O0lxyTG/S7+tWvvrnCFa6wtJ1BHLaHz8lbwa7aWRsKOOCRglbo3L4r23hvbw7jmbNZFJ0z1biJZofvEx/hXfVw2nB8Gr/SudHQPXgbn9D/u5b+b2mmNHJ4KbBU1mYOT7RgozTGxk9b4Gl4mANnzqd4Ae0cytR338YgB6R2lamRs6R5JUeoNtuvRfvougUUPIfWeN89+t+8QB7xKzspXTZnqbbq+zY+ZqBrH17lxLB8eo2gH0KNNHBtDbpipqJXsRSRjozM/rufh8lBCItul9rsfIZ7Bnvniub0f08R820lx32MNoDe2gtlZKhr47ZRhUkIb5ElbXIP5ixNRRkZ5mUSOIdOmLtrKX6upZQnYJicAJaGBQwwv+cJ2DQQeZatN9de7QnwSt8jPHkw+63O1mHNrALno9NMec8LXd+mYd661Po6+5yScuMb33iJSji2DdE9GelzvPxGD6BggvYNAE06/deOl73sZUsdvHpohBYMdL/Rrw2sSqGpDt8Zs8CHg8gzAVtgnHMlUJ19sW4JwJrYReCt5Uqpi49S4uKBCVDbdPG/ZRMAFJAZ/2iPZxuXlE7/Z8q7ccfnnmGg41tyZgOWJkRru5TlOXLnfO0rct7yiGQ7pTUjrmjopEvRzDWCvn8E/W53u9vOhmQZn9OzTUbQ0pg18YaRaJ3jjVLlvsa6TVnwSxvDpLA0lnheXXmx8eK2A3EqHX5rByVtKr0pWeQO3sCslNZ4GNbVL+1QFt7NqVX0Ijzq271krmi6utDJB+71vG8Y6YAFZSfpT5+yQtCN4UW5oJC25rhISo6DnB4TI+tr0amUub4nLs7098puTmrzthzD2ksmYaw6yJ3No7ShtYuNlzLCjSJQ8cTEyAwBPEIBZ6BQjPTd/KQ+8il6jm/QQr9cb0kZ2uXsKZJv7NQblhkH+FH0xfn6GfaXtokPUki15YUvfOFO1EkbS5XPCaPOImv6hh88X9ZU/c1gV28Yie+NnT5mBLdZHLqneBqnHBHGbzrT5+tic1i4p/W3yjE++LMxxF/NoTNq3lyMJvpRhM+z+qsvGQ3Wpe7LCuiO4nY4/UiHlMqaww5d6UgTH20aFi3N8RkimoXnRCI9h8fxZ1F4ep57XWMc0wPCrIk1yT69M16agZOwQn0550R4GcB4hG6Iv8ibSCnsJFs5LD2vT5zk2heekTnl4FH910dtV3dzftlA9AvnlFWquefIUhlZvu2vQZY45MLlMi/NLW1eiz9tbvaABzxgCWjM/TLwZLpFQa9pnLeh3hyHHFHOzZR3cpM+RaaL/OonPU6b0h/KkiDHxsm9f/EXf7E4M9XpfDhhLNCrzKFtx2LzYJiM9vqJVzhHZFRxztCL4KHlJtphyY+xEPAxlurUfhkSfpdNFq40FxsnS0zp7mjb22uUlYMTT6AnrFZX2U1Xu9rVFh5llF7+8pdf6g0/ODjK2Cnzp/ky3XU6u/UFj9QGTgNjg0/Q0/jA5Ja31Q/0JS94s80Ts6nMoX6bW2QXxHPkkvwZQ/MyOuVIauNNbSstP+O8utWFZ7WJfRffGVt0vslNbrJP4+MRIoJuo5O5CRjibhviE9/bUKJzc90fYdk21APhotoGLoDLmx8j7TaPzKh5EYoARlmtCSI0oi2EhgBjtgCO0AFFIBv4FHVXZ1EW7cnYLRL+pje9aRF2ym7RRwyt30WSPC89PIMoI3k6CzCvdlsD7TNT5SgIhCsHxzYdEuzd6DPT3FPei3ztyYhOwc9orNxtI911xgdvqAkGKAUSsy157Vxr4ux6ShrgMckCrPrZOiFjaHLUF6BlEjeZqc83sCzSpFzjGjBZHqA8Y944tvmf+prQXYseKXc5Qx71qEctkzQPqEnAeKBF3tL4yLntCHQeRrw4I+fTw5zBEK9pk77pU86sopNFDNDU5IivKRLSrXIOaRdlxbcJuz7WPmUXnYpeyckctxxL7sfv/deG1UDf30C/613veoDdb/Fynms8lfJZeiR8SEE0xsYH38Cy1uYVHY0Hy3BIgQwj2zBGGSlUKVMZnEUHcrD6D2vmBjTabBKGM56H+fGIOuEjeXcfXsB/JnJlwq6MLP3GL4yonAEmfcpaikvef/wKs/0nGxSCIsXqCK+KqmQAFc1wvnX9nqM4FxmYSne0LkOgCHZGwjTI1RmdyoqZBnNlbWdhJTfNR2UcUHrUKwKXMokOxi8nhXq0v4yeMLLrGYr+o2OGCFrjF4Y1esPI5hFyX7SqrJ4iWM1h2mWsOC+1V9Sy9pf6rr54beI/viuiziinvOqXedNckBEWLdEt5TLjwDmy4b+y0xUabziDJs0rndfu9kPQl+aVnCm+YZ8y9SujG2/43XgqL6euurRHW1xHhxzIGeE9N40792X0KT++QOvVQP/ZRsPwsSUXyR5e7XeOYGPlN36a+NjOz2hrzi7dGCa29hoONGcWRccbMCrDcU/4WLp32YnKgTHkDE5mIDH6RKTdn6GejDIMWxLCCQTj3Us3KQtI/W0iRn5K6X/MYx6zyKBsFP1QJhqQp7JE6Z53vOMdFyxRNpqgB5xOP4fRZOHv/u7vNvajIG/w3H0+ZFPbckSEWc0XYfZ0nvidTpyOpf9kLHlInpUXVhUoSM+prox19+kbmwBvcHLDDWXRx8tiKYtC+5uH0KjlLNrQvKStdGd6Wlk9DFhRbHOdDeGc721E+qFM9OTYVGdYpz7XfT/5yU9e+MCmgRns9EBHvKhu9CuaX2DNPbDUJnkyOhjrjPScLp6pr8bL+Ko353GZqfjFmDd3qi9HDh7nyCzq7V5j1ngWSfc8OjT3w0fX3MvBwfmTzm+c0ATva79n1Kl95EQd2pnM5jQoct54l4VkzMpiVc5qoO9mrR2Mc3k/7XBtsDDR9mZtM+X8oIo2UIQjI503aRoJu0XnA5Im6ACh1EjXZ2r2nv7X/gCmiLX7MQ5Qo9iklDgPzHpVDYaMcRlqItu9toZSCKyUk0Lqu+hPdClFWT8BAoWN55BwoTVwF6mlEM3IVcZt5WjHjLK6tzTM7olOPat904tZ5CbFJSNt+z9hm0rZ9hgrvxQg0XRAGzCnOPVMhkqprM4HQsClyFIKDuCzYYVxMZkDb/zjYGCblIAcIDRuc0IoivFv//Zvy9oa48ibmvFs7Ob9gYqxodjOzVK0y3ne6PYKCIy0ZaYikYciXil79b916vig8TOW29FO92tbm3bhdfxUKl7l4Rm8bzKjOPCCOlpmIYKe08QYeT4FxHfOBb93WwpRPU0exsVv964p7j+jThhJEQ8j2tU2JcdY4yfjYryKEqYspoAYI2OSE0rZJkX8jf+Ul6Gt7mS7yAIs9Yz/xgm/tYFVkYiU3jCzuktPw9+eNXmWhlxauvPK40DDt+QSv4epya3+agcsy7lQBsGUj2SoCV75c+mGvoo+6b++4F8fvO6ZovfRZkZftU9drSf3jf6leKeQTmUiJ1nKtHvCt5S2/jcXhLMZtdv4qIzoCbvacEo/k98U3RwK8UUKaNiMF3Jk4JPSfdsQE0aaS9oZu/X65pM53ylfndoMZ4yjbC2Gg/mo8TAfZYTrr75k7Bpj/dHG+BYei+qhabyuvZ7Bm8rwCZ+KhhfJ91zZFJVhTOb8nkGHJrCcXBXBCSPDSzisjpTdsjPQhawy4srqSA7KDEAT9GlNbRHQmXHRWG/P+fXXHPPIRz5yn44QHZTOdmivh4/Pfe5zd/QPRi8dKnxkiPpvrspQV+82PhoDczN+ZjzDAQaP59K1WgK0jY8ZYfQM5eCFjJoMPPwUPhbUiC+KsuqPNuJL8pejtd3KjbnXjCkfjlhrnRMz3iZTjCGRbbJLFhl7sFVf8LP69Kksk7KvMnbxJlpYT02vQUN1k/1nP/vZi46tjDJeomfGs7qMQwZbO47nEAsfZ2aPe9RJ7smQa80R7QnR/xxt4WK65278pG/opfyHPvShSyQ73dG1jFLjRP6KNudsdc44cdzk7Avv6EQCaMbC3hyyLmGd8fUbDXLE0CkzJntrhHZzvNit37hat17gR1AkI7zlAuo3bymX7tl84RwdlaMAjc2H6FcmpHLMCehgfkXH5kI0bG4rst195oQZ3MkJml6KJnigrApj1343+pGTh0yRJ3YNnm45ECeUtqKDNjGwyxDA/2WBlC0wMy4mPjbH5VhVBmfUPe5xj30aH48QEXQGOiaZkfH5uoUGYl7PcM/T5p6M8YwswsNIL1XFYBOclMs2SvKsa6WSTwOla1Pwu69IyrxnOgHypmtPGzaUKo1JM9ADSuXwMNmlsWhV9ZZet22Upzy7L9CbHn3nU5Qyyj1TqvH0Ik+v/exvxlVR1wmyXZtR9KI4TWIp1jNavh1B3zYiAdI06gIiQMPL65gpgP6n5Nb20tmNQ313rdfi8CiLChedllpe6gzA4d1rJ2L/SzkCEiY+50z81pHzWFL2o1H3RH9jMg3zojZNFLXZxKfslj3ot9++jVnp961Br+1zvGYUfdtAz/min9Hc2M1NxFqzqxxjrT1S/0QpKZYyBYCnSb918u6dWShNboD1wIzz7fal9Bqj293udvs0uB5a5XJvnp/LgPBMqX5ktU2RmjTzsE/DHY7mNPE8jIRROZ54/3OswJaJkaX5hp+tv3O+TJAMds8VDfZd2u1cr1fWiPrhGcUno5Dyp3z8QoEoSyanZKnM+A0/Ul7c6xl8TD5yEqbghGfT0ZACqc8pbU3uta9NdfB4Do/Gahsjo3XKt3Y3l2RcNy+pJwceWucwdF8Y2blwI1zLITuVkpaVaIMxgj2tz6ZYM4BL88xpmRO3DCB07/WWrmlf2Q8MYmW0lEsZHKQZ7PoA0yhpRdByEuoT45ZBrk3mNJslhYHGzT29FaB5E+0ZOSnuxjgDp/HGc6WLq1e7taXouXPuKYU8vmzso4Hy0A5vFaXuPz6bkc32a8gxi65heH0na+jlnjZtIq94yPMZ2q7X5jLgtH86gJrXfWvfxFBj55xxeOpTn3qkxsjw8UlPetJC3/Qr49jrUHO6+GagJrOtFW+ZoufhjfFEW2P3ghe8YMkeMT4zg8Z4kg982LzH6Gj9enIaP5CxiY+t01ZP+OQeR9lk+Nk8qD2MDbqPNjHKzctkiPGs3lKWYZaMPg6LdAay5Tf+FEjwf6Z5FwDRvmQjHCH7eA0mZOSpQxu1JV1Bu3OEzXktmcvR0A7hZDyDOL2evBWRVR8aZ6SHm52LTr5zKsxgnLbQpVrfjpallzvHkA1n8BDcNb7kOielb2NPT4dl6tEu9GNX4B+7tL/jHe9Y6kE7BjbDWVvQh47UskC0h4c5bc1hpcxztNFrvdYXzzTPG3d9aQ7nKFF+8296m/FSp48MYu1DSzySYzKD3djpuza7FvY1VrNsslLgJrnx3xyNvmGoeZ7sxcvGUjl4BW3958iQeYFnzAX6ZTlA2SU5DeIjfVZnmax7wkfltVyqeVMb0W5fd2AeYQx0zEt4ZwQ9wc1Y305t303BnUY6BmLwMqK204IxQynemBgIEbAMTWX3e35X53Z5222ZBn+KWf3L+0bAS2MBDAwg3rSMnaLmczLHvNMoC1SrvzTGPSmUzmcoA5si3bP9UwnNOHTftoEfjdzffRnnKZ3qQr9SebaN9Ay02abaGBgS8BlR8ttOnUXT86ZOA700KwDWWtNenWLsAAogEx32u6iLuk14jHMTJo9xO5W2Htw9eApgK8Nh7TgD3dF7HvFVnlLn2wMAwNe+ouxzouNp7CjdyX1omIGeIjx5wRgVXdzN4VSZk9b6UIq6cfK7VHeOJb8BnUlmRtDR3nIO3s8m+O0IuvqKosdTM1UthcV9pY5mOKwG+s9GKwVUeh4FqVSyMjBKOev/TG1vQlXOlOn4CB+gNyUMH+D7Jlj3+23iLxWvKAblrihiyhtsKIqZcbGNkbUnhXnyqPrdj+fm8g/ta4Mb7aGckNfSKsl80dSJhbWhfpTm7rxyUg7JzDSU1ZfxjG4wqDL2ZJxnPCmrjALPFi2Jbt1XFpG2lDUS/aZzU31FiGYEPWNen1qfqA/+Z5DDLbsBGyfnUkYz1JXRho9wLoO3PTTMtWjUJoDakhIa3uI15VM0W5tqDLXFszASTciy52EGHsZ3pRTj35w4zQX6ZBwybmBIRnrRbLidEzAnvT55zncbizbu8Z65tGwJmIq/U2InfxbRV5+yWn+J3/EemuI7tMAjRb61S7llhrlWZoXyUyZbGpeB7jsFVB/cG6/2u2UqOQnMITamWtegn2ChgwilpYB9k8HWm2esz9T2PeFjS1rQl9wwwsyBDPIZEMFnsBP/mTd7GwR5Jw/uhd/41xg5h5cqYxoVU1+rXb3iMvnEt2SqV8XhE/3x7mz8Ru5EKGUGtnZefe4vYl6GTzivXniEr7UrR6Bz8aRy0xPVmTM0nSYjeuJjGO8e/Q5v6UPV01xVdDhnLJkhHzkY0NM9MInMzyWtyf5ugboctnDXb5+yx/ADp45ounrYCvpR+rj+y0LQX0Y1Rza59p2zQhvparDWOKOzcXBeW2UYMlplRtL16Ye9jQIN6Pv68r73vW+pm3Ev6xW91YO/8BwnTvif81iftC99tbnaN1pwiOa4hrFlZOiDD31BW0qDj+f8Z3ybG3I44e0i141ry3Uy9lvjjw5+w/c24sZH9GQyZK+nHAn0R8EeYzAzXduIEb+XDQrHuydnbLybM7eU+7Ku1Gf59L6Mj0cIAx0AtvZ6GooH9XsKZQrRfAaTEQJClDFeSiRBxwAZNUVDi75XTpHmmfI+r2F0wkNw5u/Zjtm33u1HUZES00EggQTGx1BzvW4bJGQIzbK7D/gUOZr3ZQRtG+V5yZrsUwLmROH3bso2Gk6jPGBLIZ8RoVnvdrR0GozbEfWU4+3ne4bAWnNvvY1jGv6EuvUy7iO4zplMS2d0v4nMJDHXVuMpkXT84FqGtImwSQsItWmUuvPgAmg0AEbtF1Cksh3N53r0+pJjoQ3dtA3PokkGfJFCz0Tnxqb1rU2QKXbuzdiJPqVDV25r51p/1PqfPMb65jdgFUVHPwqBiYdneTodSqlVb+mbfrdWs77jj9ay51DT5uiYsbFG0Pc30Pfbb7/FCTZTphvvbcVons+hE69Fb2OgPJhRGmTGRM7KIi+lZFM68LX/ySvZV4exxUOlNmcEq4MsKqvoqDrxhHbqD9nMW44P5iuMOIBKB3be/WHydADgw5TQbbpMpTIZnlEjbfVMimjR8DByYuJ0KqUYuO75DEa/i/ToV8/kqA1rSy0sQ6HlBZ2f4zrTsGemyjTci4y5XuYLo9g6VWOAfjl7tdn/Ins5Wsr6oizrD4dIKcJFltzrergDI12jhFY3BQ0ellmBZ/Sf8oX2OUbhkWecz5lnri6aH5YZd89pHzr5KMO45xjS/6IvLUvQT+MU7TOCZ7k5UuJ7bUKvokPooP36wghr+U77Iviv/XCfLBk3ymeyEb4bKzTLaaA/2uG/Osps0eZpBE2Zja9qq7XF+7ICelA63KG9ngNTpBsvFAVMJud3vyc+wKQ2LXS9jLCMQ9e8fpaOUBacOtWDP1rmQ5/jDKBTSGlOL1MXvqaDMFjIRdF4Y69+Mmb8GUZ+421yGa/6hr3hBuMSz5HBa17zmotM4C1txH9kxZydA8BzjK2JP5Mu6tMWbdS2iTXJvDZklOXQytmXDtn/6FtqeGM8158XoW89vPKLoHs++vud3oDe+tBcMfExB7+6coj6PW2E0uDrC337hje84cYr+mAh3X9mGnH2FPFu6UKOniLcXhnGyPTKs3Rwbbd7u7rRXXDDOdkODuPFaSlantPHeJFpZWnnu9/97iUDJMegdsBTcxk65WgMxzwbrha0sQQMzbU1R3ZBuTIwm5uivf437+Ep/zPQYaBr+LRXSeqPOtAOf+N9MuEZjgtzcsb9U57ylIUWyhWY1HfGuf/aZVyjg3aRiTKk2v+hrGV9LPtqymzr2LVV2/f111AeIQx0a3inR29vQbu0uMBw24BtPTpvkklsOxKOSaUL9R5JANe7qachtB1V59nPYPeNKTBSxgomK5XPN2MGg2HqHAS8a5SnBLaNIABXRlWGju8Uq0C6Pjf5bxvYgVHp7hi+FMBtxbP0mei+2//p2DBWTYSTNikWXSsS4D8BTLGc/4sGeXYa8DOy7tntyHv98lxr092DTsDP5JQyhA/ywDkHSHnXHO1WbNydQ1fpoZRaIPL0pz99J7pI6I0nRRS49AoIdAUWvTdS/zLsjad2Aa9S4nyXUpWn0uSHXkXSAZHsD7yQQthEOp0WGSv6oh0Z3v4rr/8z0r4tXxnp856WBaAlRVjKXA4OBrrNUJSd40F/8j5rR2M9UzO1f7sdTaxzUgW4/q+vWTvgGvQ8yHuK/EylK+WuiGzGS/Qnw84VwSvy5/4ZcTCO4RcMISftCB9GKqO12Hm38X3r2UohVV9LN1pnSKFsTRqZNcGXyeT5NsVRtzaG+U3KaBHOaKvfU8HwOwO4e6MTvNbuabROozvlxXMpeimFyUzzlv/K8nwO2RSTqVQme9OZVnsysP33bMpJ85pntg31npmGerIPr+AJufW6IVhiboKBbXCkHuWXwZCTQd8piMrnJFEWJdY5ZcoYYkRw0kkXJftwzT3GzNihQ0ZTTtMMDXVqS6msrrvWuveizu4rGgNjtG8a7zLOKKDa6d6cLSn1GfOtt+zZZMj9LZWa2T1dn+ONRtVRlkUOH/00h+cQY6yVFZgzS/uTtwzz/k95NZZFGY1lkfMcmO5FH+f/7M/+bDXQT3CC5d3KZcLsDT66Bx2TW/KN5ulVBRnIDp7moA5L0B6+FX30FgWGhuel8OKDjEj3ph+08Rg8YIi3rrzXWeboIQN0RXJHJ6GfWp9MvhhuntdXRqDzpW5Lbdcm7W2voxyHGbrxOr7NEZluV7pz+GNuJ3s57/SvFHi0mPodGWzJVY6OouX+63vGU5Hy8NH5mfmVky0ca6yMUW3VDvrH1D9zjM4lRenBfYe/+k7H8bx2i7SiJd0evsEV9E4vMfeUXYXePiLj6MiGYMxbe27ZJB6yYRs9SQDp937v95a+M77Nd+ZT/AIjekOR8TS3Cvw0B0lTVxas1g5GumcE89xX9g5e4RBsf4ucrPBCRkWOUvifUztDF26V4aFe7TAW6fDqL5Ltd+eTsf4X+Clqj1ZkRHn6zP6yyz1sU5/2eg2d+axsuLIcylrLGTmzMNMfJj4WOc/Rpm2N3b4e5PmFMNBLyUw4CVmpudPYyFszz2Fuqbl2XpwHxrTpjQ8A7B18mKLUugQd86XkKQNoJsgZlhkkM5qewT4N9CLojHNGOuCwBr/IOfBKESh1DgjMiPr2WuvtKHqK5UyNVwbmnmCcclYkdiojM509RTz6FTnJUNfOXgc0lePun8Z1RnwKZQK+mxE+jfbdIukpx66JpksRCjzbpb209t5HStiNHxqiG3BAkwx2kyVPp8nP5EwhRTt8YgIzsbrHuLVBmnaW6t7aQ+fyNNtoxqRtJ/peHZHSndcV2AK1ouiuA2L8gv9aizmN9BS/JjDPB8DbhvBUPlNatTFnTMpfY4Y+Pmhg8vGeeL+17+53v/timJfyn0Fd5HvK6YwqNsHX97z18d/0cBuXdRf3/Q30+9///jspXnNyTH6auPBT1xlVGUTJXTiVApoDiHykKOXMyzBVNkUTRhYFae24a8okV0UfjDmFpl22UwTj0ybpIuvqw0vGXx0ZurCQt14b3/Oe9yy8rS7Gn7JLZZtp2xm7sC88851hhT7TkOvZcCt5SEnsfDyaUpliX/QojKxO8lz03DOwBkbOTAF0yLG6jZHqKyOqMreN8JnqnjFfXxvnnCfGl1IERavn0gAAIABJREFU2zLSw+z2VEkhMhZwjjyjFWVfe8ylxsAHX+XcFImCKeY0/aBYFhnHF9EyjOzd0vqnHM9K16TcUmo92xpv9J3pueZkY6+/+MM8XEQ/51DR85m+WQqwcSqK1PxV1CjDxHdzLnrGE2F1fKdf2hPutmkTRRvWU/zRsH1JfCcD8VXj5Tvjp7kpA0X/tdV19eEt91BC9/VNkA6gdB0Of4qg21F820CfhjrcKpLdeXLAQEq+0Djs8ds458R7xStesWSQhX94xliQKXzP+OJQx5PGC6973v3GzViRySKDMjvNqzOzM8wiX3QM/OR5/+mKzglmkTfnGJT0HjrFX/7lX+7s6cGIK1IPU9WL59MN9LclHOFl83RR9KKn8WKOQf1zT3N5Omb6Rk5k98109oz2aK19Rc+jJUPOuWSjeUNd2/pJjjUyXlbZthFecMKzfpM/Zc+ouv/k2nwlms6go+cU5Sb7xgEf0AWdZy9whqQHM7bRyYbDZULIjuW4aedy5Vz60pde6hLZpk+iMaNb27SDwe8QGGrjuoJAr3zlK5f9EO5973svRnp0RxttgnmtQ8cfznOaaBPchrkZutEFjhZJV16ZPemt4WRznrZFa/0pwygHvDbjgxwZysxQ14ZnPvOZOxsT3+Uud1kwTV1lmZqP0BFvhv/qVI/+NB9Np4x+F9zSTvxTFB4dr33ta+/TDswjlIE+d2yfm8RNQ9mAGSjnMkzb2IvCZ8DzDrmXUFnjAVynQYLBCAfgA4KllWeYdu8UbIpiEy4h7v3ru61x93yMtB1BJ6QiGg79bNOH0j0zvEqBC0RL8/M/h8F21kBzYF7POSdOAz3FcEZkuncqJSmmu6WVdn9A1f8ZYU8hmtHzjAPXUj4yNCbdenZbeY0+zgOdwJti2bpL5ZUNURTYZAhEcowE3IASWJkg9EX03JihYYa+suOTQB4PAgTXagNAqn36qU5e9V6/ZzLt+qRXEZ5S8pWjTJO4I9BMacuwMP7TMO86vq2MgBX/1me0SxGeNK8f2t3EhY6vfe1rF363M6mdok0c+p1hGKjiy7kBXX3MuJgR9Xiwe7Q5o8M1Su6ROX0TXVJA73e/+y2TeEtpwsrp6S7tzTnjQWZTnIwnXk0xyiFUqrkxIye9wqyMI3xnnOEAo9z/sleMUc4e7cSTcy8HvNQa39bOG9+inPXPf3VoC34ndyZ0kQn9SA7JW9iSEZYnfRo++pwCiRYzS0edPTMzdlLaS6MMc1MMZhkzopMi4VzR0xSXGW0oil650SCFdTt6rt7qNOfkdN0Nc8sqqGxl9iyeKHXQXOMa56Pr2teuucYKBqKJsWJ0pPQZl7K68ACcZCwotyi99hl754pkwCb1GQ/P46nwqSgxmmmHjZbUqZwc4s0ZzpXtkXNFe5WJjuZ9fFhELbrr+4y0eNa1IlQ5O0vdDGdb0hFGGjvl+N9SiiKR9cP/DC4OpPkqz4y9IujqCYenMx2d1JG+g3YpxNN4y4Hme42g/+w1a4Ic6MtBLrWWQcLZFy/kQDRvOYf++CyjlRy4Zq5jTNPvykAz7zGeOAE8A3vxnMN8aN0wXnSf62Gr8dO2MNtYtgYZpmlfbxrydgLXpvNQ+WQRP6hH+xj2MJUM3uY2t1n6DCtbEqeOMuly/swMI9fie20It6bul8xkwE1c0fd0ogzpMjxmGerJmA+z0QY2OD+dJ37DpjZ0CzOmYTij52WCNnbkc1vn1MayrLYNcu2cUXZznrkvR6X9XnKsCOz5zY7gdNF+PML4Vj4HIZ2ucRdUMa50JEa4fuElB8PePNeeHNoAL9EUvyorndd5fQpjvYbXK9jgD6dSDrvmM2M6M2yUVfYZ3oKf+mnMG7ccn83JOQqaM/E0fsTrYZG+4rf2Kgrn8Ax+aczVh55wS/+1x+7/+BUfy1LVf3TTR7+138f4eqa9R8Ls+theZNqUU6F7lJdzyf03u9nN9mkd8ghloGM2xAdw0/DMCJiR5KISBrPU5tYGBRS+CRjB2jbQTaIUgnb9TBmZRovftSOQm2VjPsCu/DbUch1wANYi6Bg9xsXs1jir38HD5UipLmWuemaKTh770m62DRz/A8CUpMCpCSoAqM7dlhakNMxo0ux3BvxMe3d9GySraxrnlTOj767r/4yib6fOd20a57NN9QNgoC9BB44MEvQCqr4Z595h6SgNHZC5HkDaYdIkrZ+t3QS2Jn/lom3rN41t79Zs8qst+NjzedAzltA1viobwj0UCyCKdzIwOG+2HSB5QsnKvOaZ6k65mDQKwPFUzqDJ74FjCoaJhCLAC0yB9hvtGM5AdkbrZ8Q+B9nczKXJcrYXfdsHonbn3dW+NYK+v4F+n/vcZ+FHfJIyMA3dHDXxQJNXfJZSkzITls41mBQLOIU/8+AbDzhm3Ex8vfqs6HgR0gyJlKucRk2q8DHFQJmeaz2vcn3U4z5yQI5hl/OUWHwyMSDMUKb2ZgCjybZCNo007dMH/cxgLCqpTWHVjDZN4ziDOqW1urqn69o1Izqtc+65KZf6GA5MR2VlFhlWdsa4a9u44Jq5MFmcBq7x8V+f9Y3DsFTZaEa+0R/OUSa1qei4jJbeZwsnpFiqJ4cihRgO4k11wAAfGKWt6K28otrq9Lxz7nNPG8jFS81RRWLcnyFVP/BExhJebilT2RbqxatoMyPl/Z7jor5tjMzphNbb0Xw86XzLR9CO3JjbzRc5PPSx/hZhSp4KCBjb5uiW/STv2li/0KLIlvZy3B2ZnZg5MEW4wwT8iyfKUEGndDHnSqE1LjmIisTi8QzbMn2klXO+iGLib5/eEGPjL3qk58m7OZMcVA49ImdYOk+8oB34Ad7JHklXMd7khlHYqwzxsbJKpZZpYg5Wtr7jnRzy+lQ2Kf7NmZvxUsQTXXK2Fohxf30o+7A5Ivn0XOvbCxRM3Ju6YHVv64ZwzrX01FLctWNioLLSQ/2e2FCZrtfficfTSPdsRuA07MPhZI3Mwr4rX/nKy3gYx+YJY4Qml7rUpZYAG9pxjBgDUe2WyJJfewOUNWEcReg5cuAu4xP/wFY4ipYyMLTBs/goR40+5GiynCgHTM53z8CQ7BPZmvixTTTRSLvwZ7v95zzRfryqnzONfGZbzgw8tAprlVWWpbm6jT611/MtdcLbftOvBarwvLpufvOb72w029I0OOpZbW4/r/gDT6Cn7zbb1ndt0JZkP/0oGb7RjW60T+PjEcJA5/3kFcLoecZnZITwpaAZkKKUGBlAG4zWzGIiTM44AMp2mJUeickdmHk34zwBV2bpiwFRHkn/cwYwpNp8DHNiQB8MnHFJ4UlBBm7O2xjCqwV6p2TKp7634zcm9hxatJ5R3XN9VJGbFLaUmJkKjrkJQ5F4dMLgKW7oVEpWhm9AnfE/FdIUxvkd8CmrdYOB3hT0lOsJ1KXCNFFMI919ebm309unId/vJgxlBfYcJ8bE+KE9gLMhiLVCHW2OBpgZw9okdQxw4gXnjJX7GPfGUTr8zPAAuqUipRwDpnkYJ8824UwHlLGbEfQ2uMsZgEdm5DmjSN9LmVVudbfLcApnRm/826RZFkYGu/rm2s02LpS6B1zJngwFa4f01/+Z3q6PTZAZ6WRDu3hcq28aFtvjliKNd9cI+v4GurcWUDwzkuc+FWS0aAe+wuul4ZYSXHSOLJXNYDwoFsaRc4qcuL9sIvLc88ozbrAjw7mNWPCgslJ23VMqOhyeS3BKRyttnmyR9TAWZprwzQd+w1iTtclZ+ZQJ3ym32lDEGh1SypWZ4uKc9oWR6OO6cvQ1T33taOJvLgkji9on10Viw8htzMwh4bs9S8jLXAJiXGY2VIZ6ZWpTzquiqPpeVB3uKrPn9LXISDjfeBs39xmDlFRYg07kEy20k3IphTNMMV823+ATZcAy9+IL46QcY0q5xZuwt8iz+sqQ8GwRm14hFW7pZ4ribplhRUvcDx96LRW6UHbbDKl5BE8Zs/rfeDnv3jaqxKNo09yHfkUKo3ntio+MQbsNpy/oMzqJduJhv8s6QYP0AvxaJp5+aoc+4bMUzaKS9aF6p0MMxlrXuRroJ9g84hGPWBzz+BovmgPTIY17e2I0Vs1VaA6D3Gus2pAST/htbjf/2gSMDun5ym8foeTJeBg/vEM2Wq7mf3MluXa//zCu5ZR4QD301TYfxF/WQhcRZEwxvH7rt35rWdtswy26iPmZQwhf0TvU7bc+agP5Va9PaeP4Dk2UnUGPP/3Xd/TAa2S0d3GHj+hZkAjNtMsz4fA09qe+N/ExQzwnc2vY57pv+KOd02kapmTEu162UE4W/c8Rrf/aV3uNX/LeuXSW+UrElu8xeFuyoyxjLhL8jGc8YwcfYZ5xNK7GwkHHp2+ioXPGSZltsGvZrWdytFp61BsHYAu6CC6Glen/Aoo5f2dQBE7oFxr7zSnAUIcjdFVOJrSFI66nI+eAD3fitXZizyjvdW7+q0ef8WJ2Ex5RtmvN+c5xDuARWcz41dwAG693vevtZJaQVfeUVZRTFb2NLzrlBKm+luPVl/CRXlq2FTmVZbIv4+MRwkBvkziDUWpJhoIBLfUkhSmPGeDp9TFdy2D0XXo7kCO8GQaYD5NghKIOhMJ1DFuqByEhQBmB2oaJMEOpnP4X/ebdtE6k98+myKU8Sdm0YQShNSloF5AEFHmqlJ1BmuG0pzR29zbpJ6za27m87gGY/ngmpW+mjs+06wC2tPaANSBzPlq15rXU0O7pGfdmbEfXabjOekt3nwrwtud1+360NLnNb8+ry3mbu7QW8Pa3v/3mGte4xgK42p0DwH3GwQeY8YoDWIcx1S6AUOZDabdNVPoIYEs9LDJfPzJi/Qd0pVd1XXnTeZLjp+vAPTrop/oamwx+10trL3W37zzQ22ntlR8w6iOeyZMLgNFOejtwddiQjwLa5nBzLJPBolLKyqDCw9qcwls2iO+cD+hJJlPA1wj6/gb6ve51r4XUxrlNW8pQwBMmoRQkvE1OfJeRgaYZb77xpOfwBJ53b+vBwjf3hQXkXZmw2Dhm9Kb45RhoJ3eY13rNltton7IpHu73P0PRPXhFu2SwlNZeJCqjqsin8vELXsvwns7E+DI8LeKQ0q78GZnMsJ+Ko98ZwmXHzOiO+pKt6g7/iuoXndeeFMfuCYvDAzjkuZna6bnw2++M1Cl3M8LvfNGUHA05B1r+hRb6k3PM/KsMEWCRIfJNoXLgD4YwOhRlgm+UL05MfAEnknVKZmng6tB2uJJBgs+6N8eDelo+lIFTOrpr4ap+xY8wq7k5QyLjI+eNunMqldabs8h5dejfdCxqJwzSzu368KYx0u6UaPeTMY5guE0mLSFI8TaW6JCc6A/ey7HqWka8djjfvJ3DSRkZKq6hrzaQ+Qc96EH7tAK6PT8c1v+LoL/kJS9ZcMCYM0Sas9GQARDP+g/v0isZtpzwjpwlyqBbwifzv02GRUrRXH2uc+IzBvCEccvR1/ul8WSON2Xn6GwjRfzX3g6t+1a/+h7+8Icv5Wlr+g4eUBc5sR8J3sRzjL90SMZbmTLkw/NlrpQ1sE1/vIin0SO8r5+lSKNlc4trRd39Th5yQoaPYVLR+s5niJfu3n9tpVMUHe2NHepwr/LQlp48M2HS9aYuM/Vl5W7rkOGENuWcbGNndahPHXgAHZ/whCcs5+CguYkeSa9sjoKDZBhvaLfABgygaypflqxv9gh8bZ+iHMg5aeg7ykRvOmo6vT6wV7QN7cPYSesyfMJoZbqON42dICVsyaDFj87js+YCdCsTQ1+au9zXOKJHmxtmH6F9G3mWvp+uUWCUU4MMKgtdZAxojz423zWHapP6yA98VUap8AUB0SEnkufSA5w3TupHr5ve9Kb7ND4eYQz0lBeD3URl8NpsB+FnpCHlgRC11sE5Azqj570HPYN/Rs8zzmP0vEml7ST0eR6dT3nNqGmiJ1gEkLIj2lh9yqh8a0hucpObLMY55pQy02ZH7ivS6/c0RKeCtqcJLi/jBKeiZTMCMyMyRdNzEMz+ZnDre6maGVX6PtOOZtS9MlxvjVP3ZojNaHoKaO0v+pEyOhXi7ch5dZVFML9dI9QiQTZowxeUmYwbfQYqrcsxyeV99uzcI2D2CRgHSMarKIw1R3nncwTNSHHZBGV/VGYpqfiqvsbDKXOlmjXRx59FHacn1e8i5kUrM4LmJDaj6qW252hCG203aYmO2QnUWAJOHkkAbZIgZ8ZtlpUMzsyPXk3SOe0xVuoxIcTr8YdvMrJG0A9ooOcYI5M5PIw3HsxhUwogmcyB16taSh8La0z6xh7vF6mLt4yLcTW+yo8/jc2UQzwTjmT4eSZD3cSZgpd3Hh9RiimPrsMk91AqKK0XvehFF4eQdrd7bk4fdc2lNRk+GaXb+Bg2RQ/XpzOziG7P1f/uqW8585LRFNKiFmhV5KlUymmcT2Vr4kkO3p7JQG9uqv3Geyr8GZrhZvehcbg754KJja5nfJLl3uVLgbrFLW6xs0mSMo09PmmcYYJxpojahIcM+z2zDxhE6JjhYX5WjuUxyvG7TAzPa1t01Tb1Np6N25wDc6YU8fNfXdrlfv3OoaCezmcso2N7erScZxsjtQsPK0/fitxF5+apFGBZWe43h4iSlVaPNjmDjHtKKH4PD/UVzqqHApph5jxZSZHVF/X5JoPGQuR4X44Q7UlfOazOTwOdDOKDHGdoiYboVHCloAQeaf4WaTTfeM796Ium5nqyYXmXcTXmeIdzihNfdB0/GOMc2zCtLJkMw55rCQ1+yFBncOpDGRqMEevdvXrYfZ6tHAasede+AyKisPKNb3zjTrBE+8Nr7WoDsPTX3RyYEx/TWcOW5B9duy+8nPhINoqkJ8foBL/pWM5pO4NJOTmN20gOL6Sjzja6rlzPz/1T/A9ba8cMWGSwpT/5X/vJUjrblPl03HA8zDDGNjejg8FBxjk6tUeL8yLlaGAc4YDx9/tWt7rVcq8xzcmoXDhY1o82coyaB2Av2qOT/zktjaM+62tGfQ4+5aaPN0fneCxDAp/3/nb36yM58LvMDhgaPqKXMfK/jVxnxl76LzkIH9vB3zNlaSmniLrXQTYf2YhPnzjH4J7xKGOh8S/rqvmarYRHGN/uKVBFtvFGwZ8cY9qL7sZrX8bHI5SBbjBKO8GoiI0hp2GeIKfkG/SU/dag9y5zIEZgKHmYFRMQDoLWmtgAJeMgY6N68tJnDGV0YcKUuSbNjPTHPe5xy6TgCPSUf4c73GFJkTEZ6JPNGwBqaUWlHgcWni/dfRrBeSfVr/+t2U9xzuApgqqcDMEUvSJCXSvCkICoI4OguuekmuGOftMgnffMMvRpphpOJT9ap3wXUWpywhPbCpR6igAZC2MQ8M42uMfGKsbGjrcmxhlBj34puiZiwNgO7fFFbTRGGTrqTDEs5TO+DEib7GbUPGW5KM10QqFRGRetRQcwjJeM2ZwfRQXr7wTROfbTGYDuwM9RhkYGesZ1r1bBp5STXg9I8eaIMGnVz8rWl97zqv3olIy5h7e/CSD+zCvfJOs82uNNbVoj6Psb6Pe85z13Mg3CSLzbOtiiCnm1U+ZzyOGZJs6i6/CQURYGxrPGMR4nN/Gj56YhDwMy3Eorm1k2noNzORMyQPBx72htfbt68LidbpUhkqRvveta++F7SlsORLylblgzjafpmVd/zqo9YWTKinvDSG1PfssCyCEQ35MDZetbimAYilYpye7JCb2N5ZWRs6LsgHBiKph+l+2QwZcB6fna13cyFj8k+82p6EHR58SUJm7NnjGFkcp1Xxlr7lVHb7Yo3bpsilIctbs2e5aSndHkXp/6PA2Q+Mu9zalFuPGmuuM/zyknA1bdfmeUuaavzWue88nR47cyi6ahpXEpup1BHqZOpwfe0i590044OZ2m5g7tiy+SL2WW9adubW2jO+3oTTI5FZTpvP8ZeepWr/4qf01x/9kmcS9+8Yt3HB6tW0UnWGaOzmFDtnOWkw38YQzLLmGQuIcswBrBFmnncLLNseyczlAwv+GDym7u6htPNfbqal7UPvfgh3SXjLB0ijvf+c7LGBflVA55u+td77q84lDqtf5Jlcbr7d/RG4kYWMmdMuq3NoUFyo/HMsRmto17C3ZlrDfvazeZSAebG8rVZ8/oZ7t7T1mPNr1ju8i5Nm/jIzp3HX3ITrKMhhmvyswxmMHXtTahCxdro/ucC1/S27tearUIMPm0D4FnBH7QwJyUYwheGhPRavpPO7SnZykzDNBWY4LeeE2/OEvRsyUKbcaH5p5tv54cENqsfjzc237CJW1Tfssy0NWcSh60UR3KV1+Oc7RrPNTXmE6bAD94Bp3IETzzHOzNeeM/WTGOzsvANGfgOzJ13eted0mRzwapfG3kLNNOz8FRtloZS+w5dapHGzyPN9Ldm6taa4821rqvBvq0iA7G77yfos4YJq+Q8xndFZeBg8Ewjv8pZikDmMpk6bt3oL/whS9clA8DCVit+2ntXAZwxorvmQ6TUUYAigJnTJRGmuJLMAgSMDdZSGtJuVMubywD0dG7NTFiiltA6HrKU6nqMxISPVrzUyQ/BWEaY7sNhXZHy90M+flMBnYRK9dmCntKTcZ6yt8832+0STmeEYWAcI5Fk8hsS15C52pP6S7T2K+cmb5vHBjQrVl0DzAoNZbAowvjHB2BROm27vVbtAhgFDGpbdo1N0xzb/U1+W+PQ8Bb2b5TBDPQ25hEG33aqThHReNexBxN8MnMvMCbeHiOi7r8nx7nlAR91/6i53hZJLN3H+NhKe5NfjPKF683MegPXqmvjK+Mn8lHyV6GpYlNWcZnNdB/3kDPwAgjp2xm4GTEouOMLBtzdIYdGQaUB05MCihcpFQUgYz3msAzwsn7zPhoolW/9mSsZiCVSk7WOcjgimUbeINcKq+URru7UlhSlJ3XHvg9J9omZfVt9zMFbxsj1TOzTXI8pDiGVbBAnRmKYXKyN6M8GZ4zY4rcKQNd5pyS8lv02rVZVuMDuzyfc3Deo13NS6X5TSwK27WnSENO4BmBb4z1Hf0ymn3jrRQh3ymI6imdXTotvCySJZIkbZFhoN4ilH6brylNRZHCghx4nY9eGQPqLjrud8vKcgg0TuFKa0uTgzJLlJc+4XfRosYujIxvfKOf8cIj6k75y/BXXpkf7i1y6ZzNoPCqj7aVFdA8Hq+kw+Tk9a1OZRsX/WifB78zqFo64v7VQD+ggY6n0A6PoW/zaHMsHjOPidyh49TRkm9GjWdLW/YKszYDs3YW7/fczMaAqfFw2KJe7TGurrfGPcxzXpvxBD6hY9ALH//4xy84mBw3z9Nn9Y0DDb9rF7ygg7Sj+NSRMrLwzzS03ENHLsXct7bPTJXdAh74G9/l+Cugpe1lhEy8Uk/p0eFU0fB0v5khwPAL36YuXjkFGNoMOfpWNsxMjpO7rrW3j/9lWpiPZjbsLMd5fQkb0dinPSO0VR/KElOfjF3fl7zkJRfdib2iHBvt2jdA5gUcyMBUvnJE4fFf0W79YKvgM58cjM0n5uucLjlM9cWRbmd8p+0Au/F8davX2Oifc0Xcjal+aZvrxqFX5jVHtga8DKQyjtxLtjyP1/WbftEr6rTRhrfaFT63TKL5rjJ7c5J2G3dZd+mVOSzoq2iTU0ybGf/6pP+rgb5tfRyM/9NAN7CtLwFGcxOuigQAJvqpZHUtYCSEonWeb/d239YUWydMYGZEaKYhY8yZWmfQMW0Gurq2o8XuL9IBKDGitCMpGU0W+sXo857uXrlAuSEgRTqn0aS+0vgy4CdZJwAWTU+JLPoz6aI8DB0AKxOjMzo5ElI0pnHX87P8+XtGsGZ0eNsYpLgUjcvjrOw9OQdSvKu/6Pk2WG+PRcLdc61JD+zRhTFgHEzApWe7Py8sgW4tuUlSOlkeR6A3oy15OQPA2W9evzIv8Eb3pCDHf8Y+vtUO5yeNtTFHA74rctokVN+SB2Vl6Lsn3t0WyXhtrh/DUxnTABEAmwR4P1vr7NUi1mDpe570bcfQtoHeZGjSqhxjXCrSdGL4Ha2UuxroBzTQ0ZJyQ5bRaRsjMyijLX4rYoBXPANX8FROTrwDMyl31lW2UVVp7+53b0ZRSqyylYkX8Ao+71plZ6xn5M0oKuVT+8kKfigKZf0zx1DZU85XD/5J+fBdm1KwtjEyx+2UqSIq+CtFrpRhz6ON+mABGZLxBMuLFm/jTFg8lV91pJSHLSm06tCPMhuKUjfv5HQMq5WbA83vIqkpShmT6LEbVueQnY7Z6KRNKeFoYLzgBwWHwa0N2lfmk/Jhp704jD8jgcKaI7A0X1ilzRMzi8jUflgcDuacy/GTwZ5i6n+4EJ90rjTgsDmnRUY6uhaB7rtMA8+EkdM4154MDn1p/tSGshecRz9l2EvGt2vmjFJ4cwCXRZLSG49pR/yEh3OIqV8/yVYyFE1yfkXr1UDf30BHP7zrG8+ax+aB/mXHOY+/Jz46Z4xhIQwyBvQ0G8RJEbazt/mPHpNhYIzgZ0vnMmjSewQFtAOv5GAq2smAyXmUM8j40hEFeXr1oHbgFbx1y1vectkfwn96LpzKQGk37oI9eBIt6JltUDv1wvCxjALXiq6ni4SJZQLhe7SF3wwo64mf//zn76wB3k6F3o6a6190b825dvSKNfXpB7r0KTLrWsuylFtAL2xrLHNa93wZC1OHDCtb5tj35BdyjL5htHZzoHjHuaAf7GwuRnPXGaMixM5bqkCf7I0k2QplBeMV/a5dGfzGzDxYBlcOVP1LH2z5avg3A4f1wTl9z8Yo4q7vxinnQ3qC9vtdVoF7zAN4N13Ts37nIEG3MnriXfezg9IznvrUpy60QRP8cvnLX35nI9OZ0db4wUJyyNbrlWp00ZYRqMdvPF2gtLkCz8fP7lsN9G3t/2D8346gI+620lnat2KBEqY2eHkwZ5RiO3pucw+Mgolt0CY6NL3WefCkqROEAAAgAElEQVTzAhYNb70SsMq7uZtTIJB3jbBiFhM+A73NsdzTuncRfJO5o43r1KE/MxJeKuc855lpiGWIb7eLAFVmae0JF1rxYGVQaw/a2GBlGoqB1/a3Nsz0+6IkKeABY17gAD8DfUaq8tKVJeDegCqlcEbBD4yt5jIC902nSwCQwe7b+HLaOIAQEMZ76HLta197SV8yjhnoU5HKiTMj18oBavpi8go8SsHZbrsJR9/UW9nO4Zmi055BrzIHyrqYmxPWlskbjUX0nZG96QzyTAqyb20t5Y4yoj7e4LlZybaB3vjm+Z3RiAz1jCr3Av/a02YkRQRLRdXuNYK+P8eEkTaJi0fDyOR6vhMdPRuPsCGjtHRjtPcsOlMe40eRIeNQem8KH95oAvRdaiPexFOla4aHMzKSYaVNcEkbKCW84cpquQa+0CYGsaU/vWuYPBVFSPHUHr/VC3eVkcGdUuZ/GDmVC9dndFj7i0Rot763OZL2UsZ8U9IzOONV9ytvfoeRGb5FqnOO1E/YUuQjA66yomMp3TMVe9Y3DWfPbDtunYse+uV62F+E3jn0yBGKt9ATDRjjrhkvymPrZClZUn8ZJgyQosnoEAam1KJVG17NzddS8IpUp7Q3Pv13X1GTMDKlTR3aZwx7bR55ydGfI7K2pIhmFGWoh0nNnUXEirTnCEqe0KdlSejVJrbwnAxpSxE6NCnttHEO24vwZWBEx+bRHG3xQ8YNmvqtjoc+9KH7dArnwVAHD9Gt22vQ49v4XqGlfRsL8wt9DP0KEuRsNO5wKZw0tjYD6xWt5j/Lu8iMZ8kHfWpG8MqSIReex4MMNHyMf3Lepe9kTBTtz2h+3vOetzyLBzLQrdmVweatR/RShnq4B5syMvXH/K3e1ujmuFJffJ6zM4yOZu4hE/gRn2cgqkub2ofH/zve8Y7LPfe+9713cDo+zkGVoy8ds/XoaFDWlWfQrh3sL3ShCy2p4jmrKrP+omNyTg7auyEZ8a1/+pHz7cDw0Vi5HrbMlHjlwHM0Fx12D8ek9qEVHsA3zuuPTf4e9rCHLfguCOZ6eg0saEM+fcjZ47c5oWwa4yeCrv0M0amfh3nKwpv4WTlwRGDJc/GXb2Xix173JpVefWWJzsy4HMPaW1ZFgZsMY+0v2t78CbPQz7f2sW/QjJNJthyZwoOCLvboUH+ZQnjK+OHzHJau4yvYOyP96igrpuw7/Ov+Mr3gbxF0Dq01xf0QQev+0aF2cS99uuJSPBOaJi6M0nvEey9fa4gwBQODAYZJAKN7ebKAncEMmNWX8GbkYJrS1TFr0RVMh3lmOvWMaqoX0/K4WheUMqdckSmCSjC0CXC5ryiVfk3D1++ptCljRo+6N8dChpe+1sfOpZRkMPEA63fKqxQpwO/onewZeRPc5hCnqKSoulZ5GdxFS1MSo6X/RTsSRs+Uutvzk857w17bKaaeyVBvvI0tMEjpB2oEHg20qV1ZeYfxUynt+gasHJNnlGcMZiqVc4Ajb+k0VnJQaNc0zuvf9FrnTUyZa53jbuMQ7zZu/qNtk3+0Kco/DXP3AvZS7NSjPyLnfpuQ0Et5PMM8u0XQ8RZ6KNf45j2fkTxlFw1NftVJrtA0XlIHWjqvnHWTuJ+N9DTQ478yKfyfO9/iGThUlDGebQ1gTqSMbPe1PtMYUeiMUVGSPPj4tuhjvOa+DOO8+Sm6GcBFHps8U4rxB3yer2bBUyZWWA+/2zzJs0X95/zg/upLJiZGlmaeQZqRZLL2bFHSnBnRTt85Cdyvz238A8O1l5LTOueiplMmUwKLdKb8Zggrs7YYR31zb/fnlExpChenQd3vMrfmHFZb5rmiHhOTo0uGZnKovfrs2yeHoMiQ/uIpuMk48R9PKaOIFr7IcZtinqJfhDyjP8dGvDVp5tw0zuvPjKBP3FNHilvlqC/lTVtSclMMy0RyX3Od78bMfRljYVeY2us20SD+J2d4R1vRpP66p/85OcL15inno0NjoS2lo2Zg5QB2nu7zyEc+cp9WQPdm7j4092zv4t7ynviFwwSvMtKNB8OrTLb0HkYOmtPPGAN4jGMaDnnjhHGlC9h/JadY64qNQ+Pc/N54m8eMm/kxefMdbqSP5EhqDjbnvuhFL1oMO+1yXYDJ0gkp0pyFMIzhk0GLv+o7evZqt/DFOXNqG49t69Y5A0RM6cueyyGKHvpmrtCfG9zgBjuZpuhvXbaoKGygN7SuufXnOUgnzydb6VNFc4u6erbXbBnL9Es0cm/4r8/+5/DTztKvmy/2Bh/dM4ODRfTnJmTpri03hB/mTPWjgTb3yl18gx7nOMc5Fpopv7cLaLt2wiNzpOfaN6FzeDNHYvQPVxubaZzXx3SDGVzDQ541dzVnpl9m1OYQda/2FVyK7sbeOLbkTJ+0o+wu141dziFlPP3pT98JXKaLczC1uWK2VnziWRmrOanCa2W3o75ywke6DplNn1QemcO38JmNdac73WmfxscjzCZxBn96r3YD7cANKCT0GRsNCsEQFcK8AAmj8B5ZH+f57idchGQaXHnUM26nt5NS0jv2tA1oZ5SrmyA7xzinfGJszANYberBO+Y6Y5Dwl+I+vfNN7MqfBvtMA6EQYdjpjfdcnquUC2U4n5KEqTkJppLvv3ZhbO16xStecYA1W1PIG48iYU1UAaXrCXP3ErSZ+h1dMyAzHGdfS5d0r7JLB8zQ3Y6WV1dRjIwa/c2Bsc1LbWzivHElzGhs3PIWtjbMvegDRIpgRlvnHUClyJH/RdCrdzdnw/SIxpPuT8lMMcYznte/2Uf3zshmoDX7HC1LqUM74zEN9Aw65cXDIucmITwBiEvPu+ENb7jIAHnKeDM+cyKpHX1P2qsXnZTpyEDPgZKX1XlOknUX95830KfRnWEXjTOE8eXcbCdvtTGjsEoXK11uOrHgr3tK1yPPxsv4uH96vXOkOV96dBOk9mQAT6MLv+IlCnPLKzzD4w97XcN3ohHwmiwWrZ/Gf896JqOzSIzv3mGtvml4ZjyGa1MR8JvcUuTJILqo35IYihUFwX+yoc1T6asc/fY7o61IlHbmKC2Khi5ljxRV93wYWTlkPswOS6djswhbdHZvxqZ6Z/aAfuWUTLFPGcuxMBW3DEZ1mLP0mVGA5tpuvDKAw3/fKW4ZLPqUIV+ES/0t11Bnyprr6lFGfOQ/+ikvZdy1XsmY00U9xnCmy5ZN1vN4IqeHsjLSyUtv9EihzgGdghyttBUux6/+owOcFQjAJ9pcqmaZbPXRtWiT7GaE+K/+spqKokcD9Rhf40iOH/WoR+3TCuj23HtY/9820OGbo52zt+XUvGocGaJhQw4WuMIRR4cz/9AhfeMLhpgNhtEfv+EnY+PZ9IkZSc+4Nc5lKMGQ9C183ut4laecljx6a0rvP4dH3nuOr2ARbJShqS3W9yoDL6R/6FOby7ZLegZt69HhrX5lXCW72gG79DEc0M7ma98McX1DV3VL+2/pKGzkMJqOeM9PXi9qPJfZoa/+Z6SH9c1vvSVCOyddiz57rmUl4YL2tfcFTAh3XW9uNE/EH745Rug3Dr/Ja7uZb+Mj2oYp5gcGNdrJvuy1afRKbYQ38MwzMAX/ha3p07J7taulOQI4ygzzYE1Lo8KKdHv/c1xoZ2/9aYM19lDOG+Vm1DZXpHf5X4p7to/2o11OLvIW/+dEzjjXT7iondL70d1SgHBWe2UC6iPa5FBvPinY01zWHKBd+qgdObyUrTx9yYmq7WWwkBtzlc0W1wj6IUTd7TXoeypmprl3Tx5J/9u1HehgRoY5cHVgcl7HJvsAA1PmzS4dJiXUf9fz1vg933kJ2DAIj5R69INw8boCqbxMPK7qN2kE4ryyGIkQx5h5o9SP6VKKM7ZTzAhzx7YBNI3fOemnQFOQOAoqE015hQkKoFeniUHfpsdze0wSlNkWdSjHOORwCEy3ny+l1fk5htsKi+sZ5ZWxbZz3P/r5ji6N4Xy2tTIpxq4BGW02MaMJ/kGPDHQAnTI6DXRjmDGc19E4tWyiDVNm/3NYtMnKpKH7UqBL2XKu1xppe/sX7CYnezLQt2lXtLvXYqChvqjTtXZtr654D/97DQieqd1oV2SqSXmm3U9eLTpQBHFuNJcB02SgL2sE/WfUCyP322+/nxv2qVygXV74cCznY+vI22itNX05o/A9+S2a7vmUN5NpBorfGZrkKwO5aEBjn3LnfvxTlDb5w9NF6mFju9PqIFlL6SwyG3+kvKT0+p8yOQ31lKmMvSb4+jQdrzkxc/rib4odDFcv2pTizRFH4ShLaTc5rO8pUY2FOsPIIrjanvLo/hwHRX5m2p66lJWcp7hNjPR8yxPCJv8zinOqTidBkUDlF5mfUZZp2HKatC7RPObZMsWmw1G/yDmZdz3+Mf7oXFTY/+g18d9YtrwLjkaXonj4OKeja3BTmZ1v/ooPmkvi0xzxOUHij4wcfcZbKZDqqEx9zrjxXHsGoJ022+um9idnyUzZETNyX/+NSbTWztL2eybDvLXO2sOZtRroP1uD/vKXv3wnMj71n8aWXPdO5miOX5JT19CWk95vWGqTLwfdwHut8a4x8oyxjefK6siZYvyMZ/yYA5vRAE+MZTJRpqdynSNX3nCRLsUApr+WJu1ZmY45OjNYyRq+LlMx+cm5Wgp3Ef+wds4hcC+dOHmOL80NdCHpyXjSfzoBTKDj0ns9y0BX524O+omX6VTho/4ri1FVJl0R22Qv3b0d6jP2k/PoHlamT09+aLOzHN0Z62XNwoCi+wUNw9jS3rtHuaWEq8tYMYrtsM+Jog5OGQENdDY+aFOGbMupYKW6zDNkumUTeCVe9R0OagfnHB0qfbM+M84ZrfRY4+MZ/Nwcz8GzJ3xURgZ69ZYV6Zk2vWxPmjZvi/9zJssmUI95vszmHBFeddyGbvoNC9EejXs+GZl9N3fhaXyuPr/pDn7jJbyHnvqsLOcEQVcDfTctZS/P7a2BfmDFASiDBNAyznm/Sm2XTtHuhnn7W5+r3AwFTNJ68zze1QvcfTIolVOkh5FOKDDDO9/5zkW5bJ2O9cyEtOcwEQDG6Jh8pmUTdOXqTxHlJoEJpvO683uKEhNMQkGw9Ifi4GizEGAIPGQcOETPi64GrhMUJshVZxHz7cg5ANOfuQZIWdOJMNtdpKF0rAlchK0UeG1wbxGk3fgCTUuT3tP1lMEMhlLVjb9xBnC86MCqcY9nGsuAC60o7h3a2rUi1UXaZ6Tc/U2us53T4+98k4N+Z1zPjAP1FymcSx6AXJO0Mmb0PMOsDJDoKmJuogWskzddxysZ6P4b2/plvJKtwN8155Mvv0ul93zKDHrqQ2Nf+vC6i/vPuCKMNLE1QafUTK9+E3Tf8VEKVtHUnId4MSzB96Uhp3xmWLmv3YknRqZU5Kw0EbfxDH4sjdwz8af2wmbfRWukAOKZ0ifbmEe7p/FS33M2KB8/aUcbGCnHc2imv/HwNPK0JQM9x6wy8LwoBsdV694onp6lqFMGWhtPyZpOzNqWHCs/Z4b74Ehy6h7nUtBb/lHUYEbQM2CVN5fmuNfYtW7P9dYxZ6TnnMm4nLiSklOWTpGY2l86dnLu/u5RbhgpWqRdZcJkROprGVBo69mi5X5ra9HolLttjMxh0b1h4TS6m5/ca8yUrTz/0U7buqdxD7+Vq93JQE6fxsp3kXa/lec/vm135JZK5STAw+ZZ9Rb1q18Z/809GRPTqavtGWop9NqZQye+iZ+1ZV2D/jMD/XWve91OtLE5c2/xsfW05hzOed+cMIwgvC6w0eZkLbfBz3gcf7emt5Rb45K8Gk9jCFtEwFtSAyvVw0Cnt/bWISnifpedIkW3dHVlaYdNK3MITQef68pvt3Llu95yUG0nm8pXZg5dcjCdYOEjeQ776bXXvOY1F5zu1XX2MNJ36/S167GPfexOdlGBIGOQYT3x0ZyjnuiJx9OPwjf9qZ05FdOZlFumjN8FMtDN83CcsRZ26WsRc9f6Hc5MfHSv54qma+e83htHnNMPbdI++IA2smZtpMl5hifMcdqVEVkEvSVeyreuP7qjsWvhuv5N3ELH2j33LZrO4akHOJ9tUYZmzqPGJ4dMWczmUA6laKUt+uK83+1Vou9F/pWFN+nO7jV+xldbC+A88IEP3NnVP0zV1vQBz6RL4mX1aIdDmerTBmXSLef8kAMf7ZSBz9c16LtZQXt5LuXTphczncHjMcqeiipiYpBbc46xRbQBFCGwXhbA+t2gFxnHoEW1p4KVxzojtVfHlMamPZgC477+9a9fmicdiXHehkvuvcpVrrJ4XadxLiqoz9pXGtw0uFM0M5gyfDPIplFbO1PMfKNZ7S6yWQopLx5nBfp4BYR7gZAJSV9s+gMgt43zovnalPLY+ubdxqZJsfa5x9iWdpnCNKPHrumbPszz0zCfkaLqLT3X/35Pw7Kxdj2jfk4WPVO6Ln7IqOU1bxx8G8cJKEULM8bzXBc514/KPTAenpH2qXD2TKDb2jn8U93qyCDJIJhGeqn1Rfv1DRCazDLSgSvaUhTIUWntjVvpbSarW9/61juTVgaY+zLA2tEzetWHObm4F2+gfcsH9KE0d79bk7Xu4r6/gW63ZnJUFDDnnbHNCJqKKT4nT+hK9lMa3V82A3yhUOAj5yvLM+7P4+98E77veCIszAGaMa6dylCurCJpndrCOM/Qw8fwCA4pr/XGTb5FEYsm42vtbv1e/Qsji+ZP511OhNbLw9rkNScHOrovx5BJX4TKWmL3ajd5cV10x3epzyk3U86LrmRU6cc0KlOsStfrfw6tORehX+2cOD8jwJ0PJ1Le+g5bw7JwNgeDsig+6g2L/E5hm6moxtUnZUpkz5ib13I4uF4EveyGoielbjdGLUuon9sGVQpqYx7WTGU5+pWNoF/pFfrQvO1cqfc5PrQ9w8C9dIL6nTzEL+hUBOf/sXenu9Zldfn36ww8Dd74yjZERE0RYhtFBC0E0SAiGBCK0Ioi0gRF1BgIGjWCCJRigQnYBSQiwegboofyHMGTz6p8d10M111VlPVP9p3aO9lZa8055mh+fTfGZPi1z9YarKugu0MFq6jLODVva9nS+H5nlIOBtUSzxu9tCPFeQR7PgIkx705xf8xBf+SRR24cQfABR05jeAzOwRKd4Gs44gDQe+w4ehGfo2k4FnARnMsuQTPGQwNkZ44m3G0w3TjwRR6wA9taYly0is7w5sc//vGLjSr4xzmnQ91HVw8++ODl1cB+w7XxJITQobn7b5sFuVVSSt/m43f03avNdvtHjqU1Vw4PZgVH41drwevGV87+xS9+8YGHHnro4pwbQ1AfnD/xiU/cVNQkQ8y9qhn9VE0FhsHslI/aJd/jb/xX0Cs4B1PPuyfQsIe7uZ5jnhw95WNbW1zvkL3dHlb1lHmUdV9cd9Caz4LUaMPcfuzHfuwiF2WwwbLsObry2ydYt7WsqrJ8H/fb1rjzX9swBz0YVv2UjNzPDtH2CZfgmA3WawkLXOoPrtK/6J4d4Rq5hPbAKTmEzrz5wD+dX+C1QHmyXkARzaLndK71aE8uO+TO+s2tyrq+F7jxG6zMAd2jMfc8n33BSednSSrdlbjfywN5kusp0re97W0Xxs656JTISoiudQPxRR3bc66djDAEixrKgBB+BJBr65yH1ByDxsAwMRsmY1z6LCLoExFxzglKxM6xcaJj2Vv7g7xSzdj9WYu2HKEi7rsufVUaVBSpjHYZ3toXkcrxwijgUelMAh4jEQTeLey762DCMEbInHOE/NnPfvYyL+uspDnGzmnMUc9J19dZol2UTN+VTq7DHH6NsRmCMhU58aeT7nd4yvHP0V7HfI3zHde60EDl9fWfA3uNvlKkosb+KG00tWXuCdyeb/07/+arrfEzjK2/aHDCah30M1NUBr0y3c2in1UU17Y7mCMYoJVeowZGvrsO/wReZUYnTLbE3b0tcy+DnkHi/s6pLHknWxujDHzO+wbGKte+24P+uIPudSHREJ4mWyqhBUvwIw9yMBieVQRp57+giCAdeahNgafekZpzDn9osMqeaLNoPFlWJrkyu7KD+jYfypohYAxzZqiQZW3lKGuAb8qWoI3dV1kVUMq532Vf8IWxrGX5H39tlroof4YCWs1hIu8FLcl1c2vPqX7BRUZEZsBY9EEyMkOyDEuOetlSc2gbSPykz2RXFQf4p7+Vka5VFp5Trq1+czK1KbCZjgLrDFv3NwBaZr3nGjcZ2R6+YJlTmzzK+SkgCcb2yFoXQ938jZ2T3lzNqeCQvq7JSLDqeuPlpJJR6wyZd4Z6srpAVcawvjyfQ1uwRN8beG6+7an0O11UpYb15tAYe6so9Idu3f/e7/3emy0SZf3AsMBN3/UHF2BiXuYKZmVe9dUYbRuD59acYfyhD33oVhugT9M0fMqPZUM6wBSccnbgocAbvV0gLroCa7aP6kfZchWQbduQjee0k11sJXu26X8OKZ7t7QXhN94suIaOsqfQrAwq+w+d+jdHssYhWvgFrrVnU5oXpxB+X/7yl1+comQ755mD3msfOaPRiLE7F6GtLO51kjx+Xue8QBY6JO+S/9mAnrUuQVWy/p3vfOdFnqNB2WHwRdP2GgsiOLmcPWmtbZ8zpyq4jNce+HjaPNMzIbxgIb7o9PI9vK2KPLaKP7DsILcyu8bKedeG7OcMJtPwWLjIic+5333pOy7co5Uy+lUf6RNMoqsqddLF5vTbv/3bF/pTpaqffB1twLn97J6lf/S1r6urEgg+tqTd2qzd3M0NfeSgbpC1tYKt/xJfldSbY69WK9AbrowRHuELLPFc7zWHX+Xs5DP8m/9WQng+m8F6ZdA7BT67v8qkbMKy9GAdPD0DVh0ciCa7VnWrsa3FnNir/MNf/dVfvdXy8b44JO4d73jHTQadIMtxgiAECQGbUS97fu45d73MD6OqveftdYA8/fkdUmPanJrK87Rr3zkCyvhR7khAEmgI06eIEYWOAM3fa2i8JmL/MHHOeRnEjGljlrntmYxAxL6CNee9+ebYm19ONUI3H/2CgefLnstKGhfxEqRlz7Uv4p+wSeH0mSFsjmCYs5pz5bf5JJRjbv3lUNZX6wz+GbcZr5vpzqlN8VQWdWpxa4C3zd6fGXXPPFFm+8ymNwYDAH1l/BEO2lrX6SD3TJnlNc4LNGTIdi8H6Jpl4l70kANt/Gime/rcqgF9BQt0ox3np1f8MUg4TWjsmnMevNun/5rXvOZCR/7KtukXvqNhMCnSvOvHFznonl96z0l0vRJVz95l0B930N/0pjfd7CXOSQVPOM+4B8ci1/AO5pVhwg/6JQPxhE+Zb7IBTeUYlKUmryob3vLjjNICXsbfYGelm5WKJ+NyOMyPjJahZhSkjHOO2teWHE4m+V0wLjlXQMwaK6EmK5KRxsoh35JL18GssnpGsHmaj1cXPe95z7uJ0HsOHPGMzxzcHKXkWTKqoElOYE6nuXqmjETVEDnS2uOpDNQMpZ4pm1ymtaDAGciromAd5GSKsaq0is/ixWBatrrqi2T4yqnwYC4MtoIkMn5tLzMva4VfOPBvzuC8sq4AUIacvmu7znrOdfDedW9AALyT+Rl+Zb+NkazZIAuZDl5ojPzUn3WhKbSabgwnVVDoL3iDJ6MV7bRloiqK5GBVEvpDa66HB+tLR5oHejLHglvopf5cDx53GfTHMuiquwooloypzJmDDrbsObjJKXON/iNzOGPsOPRaubT91uzIymrxBtxx3F0rE5ozVXYY/eiDgymgh47SzfoQyFJxyQZDM0rpZfDhlOzyvNJctJRzBv/6/4//+I8b/qjaSPucpw5zRJtVyemjw7QKXKIl180nWZ4NiSbBtIwrZ9xaZc/tL3744YcvcGDPklfaqwRAswUiqrqq6qNqmipyzK8EBZtNPzmmBVNz9OoDHgVHsg3jxz3J3bzdz1E95TSZko2Xo77yEc2omCgQ6p5ryUe2TfSzb61Z+Vgw0bw6CNBa3vOe91zwnW5EH1VnFXxcOZc9lM1o3HR+vsyOW4A8uOy6CpCgkwIoZFDbHXoblmt7qrw+2kahX2N4XiIUDXm7h2BTcEIXxlpfJD0NXq997WsvtNgZIvoDG/RB9uobXUskwqFnqzjpDJfsjYITVSN0fkI2snncvQf9mkfxFK8V/eSgE6oQmEPRHtpKPESH3MdgkIuwCAiRI0qUkNUWUhhcL3zhC28O80npZ9xQemXuykgalyCA5F6vpU0lcojUGCKGveNPgIBQL0pvbNFEGWsR2Yjbd8/2+p72vrVWnxloGR5rQKS4MzLNZZ32zZjmoJo3ggYz6xARJuAi8pjU+zbBJ0NgmTqDprk0Tvv7clZz2MqqFDS4Fxlk1MTEtdvsWNfOMvcMYfcxd8GcM8N+r7HX8T/bZHheG9va4dY+MsLMXM8KgrYHbBasSoJK0eFjy+1Tkgm/+shgbZ2EfkqvCoVtq12GYDyz6yt7LgrOGEC7lEeR6Ko/7gU361DWJtPoL6dtxzV+ygm84rH6rNwOz1lL9/sEF22s624P+mNQS0Zy0HMQc7DXGUb/lCuapITJJPhIueakMIoyAmU7yq6XHSy4VoYZXSYj9dWzZRCi08Y1JicN3xZURRP6y/EhX1UZOXDNNX2iRf9kpPHIcONlaCUj2xNp3BS/7+jTmtFPGdCVkfrC+ylzv32P9gq2aWMM8tE1BvbXv/71i9FCflben5O5jlXGbxkS8ymoWTvr8Q+HyY8zaFnGobE8m6G5Tmu6IvmdYZZc7fcGNoN3gYFTBoOla413yoOcxp6regYO6WRvBoF3utkfvOc47daI9lGDUY5O5bDuWWfBHfq9wMFphIYHzxa4972s9AaLzaeAYuO6BudVCuAj9FeVV0GFzVRuUGV1BUdLdjHDPJmeDM/Bth5tyqqbU23LlhdoAwdwK4DlfrxENtw56I876B3KlT3GZiRT2Bp0Yj0AACAASURBVF5okrzziZbYjfS4rB8dCAe9+QfO2UmM+3CW01jWj7xBt/DWNpP29+pfILvgHHqsupHeVSJOB8Ol+f33f//3hRb0pU/JnTe+8Y2X16mhNetRAs8ZsnUSbao+aq901UXNO77JQUd/1k2mFVzy7FZ4VtUGDgK3rUWbtoLaR0/HcGAlp3rXugyxtYB3wTFzyc7zTHYGWOnPfMA/eWLt2hkfLNj4JQGu2WwloTZgp49rpfNV0CaHspviuYKmBV+rnonPTxlYAOCarZTTmHwEZ+u1LvIBTTnTgO6rArN5hTf9goU+wIjeoUfQE5hn16cbO3MgWVUwpPXpx5zR2gYuwKogfGtpHLK886qqUEI/YKOaxEF42ujTdXPzrP6vyUfX4ZMN6U0A5tw8jU3esf/IOryJ7gqCFdTN7jWH7FVrKDHaJ7jq+67E/V7W/FO8nvH5u7/7uzeZ8muPFqEn5DiglBtBJxIpo80gRERFxhAABFfimfOmb9cwKGbM4SQ0EJh7BF/tc0Lc54gjyva4E5gdplWkz5gveclLLgzFKceQxiIgzL3IK0Jtr5E57T50vyszzPD0CQZF+RFqBoR71tK+DXPHmBhP9tzcGZzuiwabT3tElOWLfp0lKeGgkuwdazMX5x7vDOZts/is/X66n0BsLT2TYZmBY20Y2HV/BTgq/U05aHMvA/PMnu/vUxF0D+OjBXh0roHT+et/hWrOw72qIcxZm91HnrO+mf6lgYIz0WrRQXgsELB4qByu52pjLejx3/7t3y4OR+clLMyeiG2t3zssrX9PYN/1F/HMEGcwZbzUd3zX73gtOGTU3L1m7TEIbRATjPxn0OeAgTuDqqx3sgZue689pYn2yBrtBJrQe4Ejn/BWtZG+C35VxqcP7SphJzdybmpjHtrBMwVZdqfoP77xPl/PVSanbfvd0Aw+y0kuo5khF712XkQy0jgFI3JykivJw6pePJODXilcRpIzR/zhFXAEPzAhkzcgtg6ztWzGJafRnCphdW3huI7xOugFUvqML7b6pPL21pX87ncVBH7HizkJ4LwOePPYz4IHreMMXHY92W0+5gAm5Ao9J9ACj55FnxmPBYILvAbHLfMH6xwG8yqjvm08F92Accah72dfOeuVop5t0QW5499a0G0ORQGRdM4GiFfPWT+a6VWm1tdWh7Yc9Kzryc0qWKwxQzR4RhdVQ6QPXTdXxvEf/dEf3eoSzqdoCj7tZisf4RE8g2O05ROsCspwQJWtkz8OOmRDwjeZ0pksXinK4WQTstXQAb6CS44LHHAOciLQOpwYnwMW7+UsWKDEzn/+539ebFd8QQ8XeK/yxji2fJKDzsJgb6Jp8yd3Ocm+957nKvHQbOXXxmKDloSpbJvTa44FofwugKYf9msBxeSs7Dn7Gq+B74//+I9fnlFphC6dXQSO+kXf0Xiwz942l/Oe35WoZ5tvUCGiWLsMXDq4zGdBWPjTDtzLqPueI6+vHLzsuoIr7mlX335XaXFNPpoj3CcHS0p4Ltnac90DT3Dj3DrX4Bd+4RduXiO68pFtBQdtA0vGbLk93PdOezhor/bCznMFQayrSqDoublWEVDZuefQtDmYCxgbj+xxTz+2gOAbdGFN4Fkg9F7yETzh5aUvfekleJUdSNZlx1cpURm+OQqQw222dZUD6dv0Kt6kN7LVfefnvP71r7/V8vG+KHH/0z/905v9uet8FXUscxwRYCaI4iR7NRgCKXqO+JXiFJWH5KJqCcs1lCC4DBFiRTza5UhBOGf7H/7hHy6K23dlUZV1JETM0X5lh8SIjmrbnDCnfs1zs92VLenD2jZrvv2aQ0bImTFu/znG6x5hqdyQ4PTHaCAEzEHkM4POnhjEX0ndGopber7ac0uErCvmMj/jZwR5fh32ylRO5711WWNjGq8ymaKACenNlG/g5ZqGL2N7lrzvOAmFe1kI3Y/xtSO4HABCUfYOz2i0fsB79xG5nuNetm7brvFfBjzHu8z4KqyEcaXu5hQ+ooMCOsatvN1Jq2igIM+91h3sum+cF7zgBQ8897nPvQjC6MB1OG/fOBpax6hs4rVxiqZXvumT4DbvOwf9MYhlgNq7FS3Gp+g6Y76sYYYhOMIT+cAwpGQpSbQnAxLdtm2jSg9j5uiVdTZevAxHaK1tQpXSk8fGQQ/J1AzinGeypq1Hgp2Vt+Nt9Mz4dG2rL5IpZQHOQFYBAvSc0kdz+si5AoNoy9yMYf6MTzqE0SEwKyPAIMAf4MOgcB/c0yEZYNa7wbV1uOONMjMrIyvBNg/345UyThlrKxvgBvwLnoSj2ng2YzHcuZdecy2522dZDvAl2yq1jn9PWdwYjblZkmR7wQDwDL4qdtBhpYrbT9UMOVT6LhhQVUDVA5VBNj4cgl+wtq6q3eCrwLj22mnPaUHT6eDgU+DXPNG2U4j1W9C7bRaL48ZLl/pE75w6tMKwNXfjtY89Qxm8ggfY6785bGDZeAWmVn5qj+4FBMjz23wI0r30yzN1PfnoxOy2jeRMgB0ehgP4jEfAnr5yjaP50Y9+9OawK3ik2+k59KR/ODpPQkdTVQZZCzmabCTj4I7M5VgZR+Dqz//8zy+0R7exzXqjBVwag+xkQ/7Mz/zM5bVx7Ew0hZbZkyr40JVr7UU2j0qw0VUns5vT8rh1oefKysGmzLi5kTGqliqV9/zrXve6B7785S9fYOAVYpxCFXRexao9Okd/5mPu8Z215EjpB5zWccu27uC67F78kc4iEwrWWoc+qybZpIBxWhfYBpdw7dmqltKfZ4VjNuZJk+asLVmUQ6i/tr/UvkqBtW2vyUf9VOkDBqokBGwEicGQzF35iE47zC25kMMPJ+BT4LPMd3OCq8rVyYfgV3k4PPe+9Erd6d/OLGjdJb/aTgGW3iyAHgsi67P1Nn76rWBp1Z/ebGXrSAEp6+mtAErf8Qa+M+fwZRx41cfiHn46HNB6qi5Cl+bEQf/1X//1Wy0f7wsHXQa9k4DX6crBCOnreCBMRKlUxL4YvxEaB7nSHcIoJwnxV8KSs5fyq0yPcEAsCCWha68QYieU9McpQxRbyqM/UU/P2p+e4E2hG/c5z3nORUhnHJzEloO2TnL7ddah2wzpOp5bcq2Uq3GK6INd5cMMUXPkoGeIWUNGbYblGnPgsdHIp6NgrznpZTwypjejvbSQ8bdZdd8XBs2J4slwcu1am51/dLXX4CfFXESvEnz9McRUS4BlytBnme0y3WXtit5qEz5zwFtzn1u5UCZ8DdNVMJXMl6lqn9yuxVyK2DtUaGFzDY9bErtlqQ6DoqA5eP6qMEkBuqa932V5XcsQqP3p/KM3a07Bg/Odg/4YZjJAKfMc4zIF+HOzEjkNZe7QNSMI/SqP9Bt9cEI9RwlSkDm2OThkaXIoh6l9r2ViybqUsnJmfZApZS/0AZ+VLXPOHXpkXJVPbROpxE57TrLAZ852Sr1xCiQmv9eBKSPrWhnS1lXQIhlL3sugkeO+M0zMr+wRGMWb9trRBz2bXEWjYGKOVSLAl+cKzBZkXGN5+e0MViY/1mGtNLAKg5y+sugFZjwbvNZgLPu6jp+21rhOuWeDc3orx97veDbDt/HKKKKxaEW/vYrs+7//+y/l7o3lebAEvw5EIh/goay4Njno2ll7Wf1kZA5XcCmLo++t2vEceVk/5mE87cv4pZfwl+tf+cpXLvQBRhmfJ96Ca7CGJ3YC26ODyto2Yj3Jw5yNeDiZCZ9g2fX4Iuch2g/u7nPQOZd3Dvq3PWALELkGzlVcpKOSF2DZVhjwhjt0IVMNjpVpc5JzmsC4rS3oBk0kd9ErZ43z0Anj7tOPKs0Kdj366KMXWeFtRfgIb/RWlpJOnArvEOfUf+Yzn7mU3pdQMo7vHBtzLSCOVpPVxiqQFE26Zhx90yNtOTIXfEBW+x59ZkPq11hkNLrmnJfBBbcqsQQQVHCkT8C5ioIytZ4vuAofweqaTFwn3v1TZrlmjlXr1KZMbwfDbYY7OZHdVR/WaN3ul1RaHtdne9TD4xPJx7WZk59V0aRfcq4rd+fz2B5AxyQfzQGu4QztmSNd2wFo7VUnb9sW3L7tAh8+24JWtUFBEvTWoXrGch19V7FGv6FB4yUfPWM8sHIGwic/+cmLrNPWvQ1c6jO4rswuYGNrmwpnwaD8G+31FS3nW2WnFqxpS612Ba2Tj36X3ElnqlYgF26zfLwvHPTNoGcYbQS/MscYKCMoAfl3f/d3FyQgfAe0EaSVlSP2mA0ST+d8jaIIMYcCISt/Iqiu7Tf3bJlzQopxidAQHuZsDZQ2Jii6mQG3juO1DPo6YsapFH8DFTF0xiFjUr/m3DsZlW16tii/TJd9T5XdrHMejBF7f2eJewxZRJNiODNbWymQMMZMqzzWQN2SbHjN4E457X7MXfMK1eBZNiIHPnidjnDPblDgia6tEUzRysCp1mgLRtG9nPQiw+HR8xSl+2d23b1KxLWPD5bme61EZXFnJHhhseuAd8/Y+0a4+kv4bcDD9TMAUj/g7+COV77ylTev5jrHA5OMY2un1HO+l55SZubQvqFK4TLe9SMYcJuF6zV4P9PXctB/8zd/84Z34Ah8irjjkbJGOVVlkckytNarcPCIKiM0L4Je0JJCr0wzGRkuo2vPlgHQHr6N18Gc1k7GeR7P+ScXGAleNWROlGaGV5UhaKtof2WYZSzWccz5CsZlODKg3DdewcgMCHNMFhiLYWOtnSpPdq981hb9ynKhy7LnYFbQMCMkGaa98TN2c5wr6fZcVQjNf2Vk/SQjM2yDVXxSVYL70YDvG/Sqr7Oqx7gb6KwUPqemCov4syCA57bMfQ3Q1dONi6/Tg2QGY6yKsrYf5RxZg/FXPpQ1bPytENA23ZC8MT+0UPYtg7atCZ6PRjcDUwDJNWN1Pgv9aN4FI04ZmVMVroxvDEar+aH1KkEKWKYDo4MOcDSvHLF0o76qQAPHMv3BOry5p7Lm2Swjd5skeoDL7D98C5b+28+cfEzegSl4/v7v//7Nlow3v/nNF3nhEFWyQr+c7sqKk48558bMhoJDehoN6oM844DhH8kdlUPwpn3VH/BvbzKa++pXv3q5jy+qvkBDki7OESKzypTjw83sbvY7equ8vVeuZRe39SYZjv+iM9ufyGxBXYEKh7XaF2/+5mJ+Kou+9KUvXdaY7t5zHYwf/H0vgJGdk6xsG2oVCas/z62C7iV3g2H8DMeVqJdZLtOdfMlG7ZmVOY1bxte97MLw4PnOjwj3ybyzzF1/lanXd231A9Zg6U01giH8i8rQtctJb8vFnt4OD/DWyesr0/RZMIbe75VxaAUt8FFU0tL9YFiJO9quYmj1a36HT//e+KS6I7mk3+i455Jx4Sr5mE50WJ5nClY2f7/RJThUPQEu1oGnq/LL2dcuXwut9f7zAvzm6HDn2ywf7xsHHRIJy0p1QzZGzigC8N6dB0k5urLWIo7uESjtS+k5xJ3y0y/Gizjaf1YpJSGTou0VajIABAziL0thfEKWg2ZPMsLf8iLjYHICrMhl83XvdM4JgTXiNnNaGXgG82YIcqoyMmQ5GRjGtTbGgrESIKJyqgJkuzC5din8jYSZe2s03pabdD3GCy7GAWtw2XL91lKWwHPBMbyvg18GeR31FdzreC8sc8SXXp7IYcqRvxapvZZVry9zLxuckw6eVQHkeBTl6/oe3gY+W92RERw8MgI2qlwgIMN7AwBl+DxvXGsCU23Mh7OhHE3A6cky6CfMwNt68ReBx1hpT665gJVxalcgKNy438nu9Z0x4DfhW3VHDnqO5G0Wrk9EW8/Uvd1jie4yiIr6p/QzeOAcPP1GA1WB4HtKGX+SR+iqLCJcoBn8H23kTGakGLeAQDLUNX/mUrYQrYdLOCQ3KU4GJrmknTYFFDxvXDRiruZfqVpOqvs53zmPnqt0OEfd3Mu85ryuHqn0Wvkqo5ncKvBUVosRbDyGgblyLq07I7zKgpyoMuhlcPVn/ZUwa7+VQ2WuzHn3lVcuaCxw81wZ1TIG2z6Hw7zw3jrT1mzMyggLGqQr9Fu2zfcyQ+HilLXabDA1PWGdW2GT8xPfmze9Q14IHAvOJDeDT5ntgvDWmGHf2SzptuguA9bnZuii6WSL3+mV1psxGL1HA2wG8ti5LNoK2Kzs3fXvd3PyG31aE8fG/nvfq+SoAsHa0Lk1m4f1FVgxVpVfzbF1oLHNBG5ghbH7bJaRyUeH5VUxKSFSdQbcgG38oT2eTveXibSnll2kMo4Dgx4KoKGRHO4cuIJIeI9ug5+2m2lDfhiXs8429V9wvoobNAL/ZOMrXvGKy75eztdmzvXrN3qEdzZmlaVtjyl7Hh349Nee9Jwz88KP1paDGa8bo5L9N7zhDRcnzJ/rnEj6QwWoZI9gm2A/m5e9XTVOcjt5UyWJ9Rb83QqWqkLiHXAGTzLYM50sbh5gXOa3hFF2vPE6BK/1FJjAS/tu9O5XAZWdm75LvxS43iz6NflYIG1tyOSjPtauXfmo36rLbKngQyh3LzlYMq5AUqfjow+Zd32RNdFFDnzbxsqgr94yL3jQd9WgbZWsWqh1rM8SXWkrI12C6FuRj+hI3+aDvnp/ecFz8hh+wawtUfBfUN586ZANeG4CAU2jv3RteJWwvc3y8b5w0B955JEbhw1yIBFh+05IEnw5f5WvrOHFuOJ49EcA71+HVbmWskuArTOHkRFJB8ERsq4RTKdjjtgQxVvf+tZLWbt2lWsnAHtvtk9z7HC4LQ2p3wREzrhP9ypH2vUgvpR0jJygL9CQovG7CCcn7cmy5xkfmHmN4RVsGJPRTciXETmzQ/WzznZVAjms+kyAYawyFdbWc10rKLCfpxN9zUEvsLD0cmZRnuh3SnDnrK9KreDyZS972WW+lQHtWNqZQyXv3YPfnGrf9/C3aL25r7Oe0RvdfhOhz48y8PBCKYrcyxIIJFz7S4Cu8Z5xE8zhyCmygj6VgwYXtJ1x4RocdiBZgaqct3N8960VDefcGVOm9zYL13vB/pm8ngH6/ve//yIDywb4zAmtjNcnxUwWpejhrLI48iynmkxtW0T0VsCn7AS6KRBTKVvOiGejrWQOmoO/DJT2szlc0OGEZDdZnJNKAXtG38YREK3sMjpcHmhela53zoh5rKMI/tpknCRjtOv98R08s3tUk3dg3r7OXttTuZ71Z8T4bv4ZcemXyp8Z9fqqVDDHe5385uqzjG2OaQYhPFclkUOnLzBzPWd852WMnskJ1x/857gXBCizsXLLsxv8WRmZPGp+rX8DOO6hC/yL7n7wB3/wIg/g2PWMVZ9trXA/o8/40VLBkGBZsKYAZwFRYyZTy5g3V238ryENfgUfcsjRqe+9rmqdcfPBdxvQTjbqG07IQFs18JxrOT3aRePkIFrTt2dyBNcB2HkWmNtMU22VyD6bZWTy0f5ucAAjzgW8sk9814a94pNdJAvdlkr0og37zDbG6EdVTQEW/CLIVJl3ctcY+slW8Ru+jWP/K6e2QJ+zi/RdYBJdmqu+bTX8i7/4i4udWWk9Z4QDbL5opQCX8ejwApklKwr4+US7eAkdk3nmlB0Tj+/bftzXj/nYkkIumDs6VpJckNc8nM9hW6lSZ32X/Cp7XtBsx8kJdA1dJ5s5++ATj1VWnXyM3q0nPgbDLdHWJzyXrU2GW29OJnmTrtN38qJMa0EXfZVMWge94HFrKqnVvM8Km00GGq93d6eH64f+omfQI/0ONuikc1zqvwRGh66mK1xPdvfmiIKBaBAtgRv8FcCvPfwaZ2ENHivv2tsPz9o6T8Se7tbbs2vTVoVVAECf6cN8L0lEdKbPbADjsikFsqyrPee9d11b4xbcX/lojALWJYmyJwWXbrN8vC8cdMKV8ivSuY5hZSiVREQMEJpBiYBy0Dnnq/C0rzQMoRAkhJzxEhSNR0DKMjEiKFpEvO84T8A0B2U/9ispFz+z59oQkAxCxIXxcmYTlivMrKESjpRE68ugrfSp6K4xKr/RxuEiDqizTm3sP2ckamPd2nRye+XtMa6+MWRjbja99YITRUdpgKHXgCB+uMkI7rkct3XcK4UpW1QwIqfBOJUvJkhzutdw832fqRrh6WTQz2fXuTIOmG2paA5DDrr2ZdEzEFIAW7Zfv2fZ1ma+0WmVDimkc+tA/RDAlbjrY0viGzfYa0u4KpPeyoZd68LzhEHCEM/koCcQtQ3XBWA2KNLbCnLSq1gBV+0KNOSouaa/uwz6Y1jIAH3nO995o2TLZsMl3IAhmis7mXPlM34CX7LNs/iXPPAMpQkXZfXK+pAF7hdsoTDxpP6KehvfdzRbgK2SSfjrXcAy1g5jKnsebRs3mWIcAUT4T6EnmwoU5ZSm9MGn0nKy1ZzNj7zzXf9g4Help16/SQbm7IMF+JV5EECo/C+nyjyCZUbLGjJ9DxdkLznJQJIVK4BSlj0ZWVbP/foAh2R6+znLtNXG/TLAOW8rZ82jqoN4uUDwOujuVQGwPJ/z53NL53s2A9FnMjL5sUG9KmvQB4eHbu7tEeAPJ7stRl/mXTDE3FpL80tGkiNlZFZG6rOASBmW4Bae9dU+dHSDBiujdJ6NuZ5bkPSh7/raz2BgPAanDCxjs7NLwpFxywgFL+vPic9JKoMajQZ342Qz5CTcOeiPvWbNOUbZCHDrWuXB0QqdVeCqQBvYZ1vmoPcGAriqOrCAC7ijYWXg7ve6PHYWOuRssRvbQsPxZx/GZ2X4yiQ768D5RfadF+AOz9qQId/+7d9+kWdkaAEhtBUN7DXya+mt0nJz69VV5sbhT373KjBz5Sj+zd/8zYXOrFlgja2Hro0Jhv/4j/94SWKVRGtrgfsCGZv53mAe+ocLpfzeMOS0+w9+8IMXPdG2o3hX2xzadfDLKJdRZ2Mbt4CX56oSCH9kRm+vSOat7ZEd7XMd9K6vjZYc2ix5Dr5x+r7BzTLWyc0ceHTKZqR7ZNEdAtgblsAWXMELDqsIKAsODgUc1z4FM0EPdJOsAI/mm4zdQId2frcP3TwrMd+584ve/e533xyAuTqjAMk1+Wh+JReMgaZUDBSgRK/Zk9q2HaMAM9+JTCxZABZVQGgP98nxdHWJ3jsH/dTs38LvjX7moHs8hzqmyzCElDOTCTGIiGDsRHLPQejuqShrjUAJCEq4UlwEjMkZiMpM/LXnvLLLshQZJQj44YcfvpTt9VqCGNr4GL0IfacTE+z+mksOqms5ujnqW76cADXHsvM5PEVhCcYCDQ6kozAWXuucV8YKFuZS+VwRsY2M5QQmeMpeFd0sUraC6cy+Z9yAZQLwWpstza50qP7BKEcxB72Ax5LcmVnOAa9NhuwGEMwvmjv76vmCCxlZOS/BUun3ZpCCz+4T7xohUgZ9sz+bpeqwt3W8+17GE7175lqp/GbQ8ZnyPQe6nA766Zhv2ZK1JvytU5+CEV6ThQ6j7yo0KrsONui1LIR7jNYtdc/RyDnfrPzdIXGPUeI66DkI6B494oc+wbysSjyQ4aYf8hU+9Fem23X8nCNLDnqm0m4O1TpJBaUYoAw8fVWWpq+cef2VtfFaFeXkcB3fZnxEW+6RX2iTkVg/7lc+iWfIyOi616zps31rHZJD7nf+gXUbb0s6jcFY9Wz84Lvnq5bSfyWbZEa8nYGfPAKvnGXrqMR9y9HLMrmfsaefNejgr2yYsT3f2pqjsdwjrzqNuaBHxt8GDowFf13LSFuDzrWc9+4XQDa/HOay2Nu/MQuKareB2jKEOdRg7kyJaDDjMcMuHV8lhOf13fyaW0ZpmbitIome4Uu79qQao2B88k6b5Bd4MPTRLSdN0Ka1X3PMo4HK48FPf3jB+vBGB83q2xzRljUVjGlO6Re/y/qjpzL7BSvKhEXj1sGhuzsk7nEHPd5KJ6KRHJngC7ZVF7kWfcGhrYzsSHThH/2RgcnHfZf3d33Xd13eeQ8/cO5fH2xIrx7j1NrDTvbF12hQe7hFF2jGAXKCQuRVWxrITnNs3y0eV02GhyRgyghHtwUpZdY7EA7t69P6yEP32IT66LRscikZZG2cZjwsQOmwZUHGdLl+jOttRhymql7Moa0F2kan8T8Yt6Wqg/HQsDVm7+C9HLN1JDvlPVmbfImvjZE9rI3+2pctMRAMOkOkoIy2rQcONhubDMkOTP71jM8c3oLWraUDUteGXHsXPquUzJ/QB9iDjSC8NWhjrsnu5k8+VNaPptJRBTuNi4ZaJ1ik9wpymGN73W0lUBGhvbbGjje0KRhtHvAtsM2GbH75CfkP6aCcZP0lx8wXPZVMcq6BdaGFkqbaBEvPdqBgQTK0K/DgP9iU0CrYTa/DPbjjv7tD4pYav8XvGZ+UDIIF1BToGhEn0zRMThYkQR7BgoA7lRDSMj48I1rZ+9H9RtgIVPkvISdCpHxHFMsfwol5K7kkFPT7rne968JUxs0xWafa/M2vdWAMkcX2By2ommOGZhG22uQEYh6E23gZSAhWEMAfQSyC329CNWPv85///P96rVrrirkaM8fS+s/yqAIBGyzJsdsMfAbiCjvXKpGxlhx+bSptL+uXYG6d4Wy3JWT0N8ZWT/Q95+QsibeuHPPtU19n5Lf+t48El3sEnFPd4bdS1oypni2znEN9Vk3krG+woOxbfQTfHJWU3Ga0tS2rhMfwx6c+9anL+yujpfpbhxyuC5Tl3DFWCXIZA4Etf8ailMEifr1WMaEtZ64/MELD5r7BiKLZGUUUq+fuDol73EGXZVlnJmPItZR5zjrcJbfaPuA3es1oo/zgLicVvcAp2LsXHRSpJht7hhzL0Ydb/cTTPvEAuehdr5RkGZUygdFZc8xZI7czQrTNgF6nGI2g58qN49VkaNmyysKDjecYptYp+8NYrcQww54ctV2J/NWP6xnwBUeCt3HBNlhXnl31QgG9HD3ty2qvPM2QXSOxzDJercogQ8c6k7/pgwyyKiiqpH7JvQAAIABJREFUTjGm78ZND/meg+B+8r9tCj6TEdoWRDNGvJ5TuYHc1qfdZt2rQMqBUdoI/pWzlkUKj9FR1WQ54GUgo/ul9do0hyom2iLnOlz6XYbO7yoaChzT/WwINkLGrzXmNFhbBjAYRKsMTXyDfjpR2jw50MZJl6RjMrJdBys8ad0FHeAquos3ClxkDOPFMp63uYTzRvj/P/qSDamSAB7biwr+VfPEk8mGfptSZxplQ0q4wK0Ejr7afuYa3SubXYVEtMFetDUiB0Mw3CFqyU404D97BC71+/GPf/ySXScj0WyyE84L6KCZ6If9yjnmgFRd1BziSU4QG/Dk42iu120WjAUn9Ga9gu/aCSp4VZyT6Dl4rUOwwknzwbxqFc9El6t78EJVLmi8ORc4Qbc5n/G/9XSwmWtwaG0bZKz6Fczc29PoqwTVRwegNaeqcTcr3Pac7Bfju7ZtS7jl+JWM0rbXfG2SZ4O+K9eTl1shXHVUQbzf+q3fumxDrfKBnmILhef0Cl2pb3jkSFt3+hVeqj4wr30tXPBFU+ADl5XAow333Ssg7rs25J5qhxKh6ZB0GlwZq2BB5ezZEWhJYkdQy5zRp758+i/4rB/jNQ9rwl/JRzIWzYDD6sRoBSysn81qi8jdIXH/B8Ebo//xH//xBUk5hYwaRFwUbIfIecm5SjlD4umgZ1AQFA7iyPBEbAiPYOS0IGBGJKHqXofEnZG15vHqV7/6IryM59kUdYo+Y4iil5FhGBRl97nOyQqfom2Ns1nbjK0ilwk0883osQbEi6ntHfLpj3Ek+kWhd8pywqIMegy2sM4waczNyJ2wydFLeGUUbdbYtXVww49nm8/2uw60Z3NWa7Pl0e6lAFNWp9P9RKSakjnn2DM51322vtYADxQcR3b3oi+u6ysHfUuntMvJ3pLNSnWuwUg7z1EIBQMIdnyzmXFzQ4fe74tP0CDhluJfJx3MGCCcGaV+/uLLMlpd22w84bwGcbSLN9BENIQmfbf2yvxyrigMvFPW6c5B/2YHHY8UdIRfMBZ9TxmX7YYn+AB3OEHblG+R+rIqlQByLvXHAIsmykDqw74wNGA8MqZS8hy/HIp4lBHpVSpokjMGz80tJyRlTuFqX/lp+6UzyPSZc+J7waFotqx+BoyxChxlHFq37T62QfWeVesVfCoorB88Ek9mGJtHGfR1zvte8CC6Bbdk2bYx94yZjOVk+MpIc87Qcn8DFdfk1xqT7sNXgYOcap/plhzyYJqcgJ/kfXM9x0vX6g98Fi+7lmhIuwKo8MJh5WRwfuEho3iD6I1ZNZXf4FOgxXXf294BXunXaCADU/+exTMZpGgdPeTkBO/4inxkQBrHf4GaguYZheSY+1WSmGfGLv1jvcYvY1YQJRlpPvBk7drqF0z9Bp+cSH1VTVZAN97w+wMf+MCt3mP5RDr3mbiXDWn7VhnVYAh3jHTGerLAp+tgmHPjkyzgmHLQ4UMwWruCVOQn/V61GNiTg7aO2T9uTLT19a9//YIvTnL2UoE+6/Uc2vE2FDZar5w0B/cKMqQfOTTa5JAZI1ka/DZhs5lz98tQxhvZVDnU4MDeFUz1ekEyksOrAkAZMvouaCZ7Dt50OlotU1oGPRo3bjZa9pLx4kd4qu3alAXPtqR9g32+a4/vOnC5Ktu1j1Z39JqxYJVDXSVO8qSqq+Rnduw66msnrays77LVyaRzeyIZkmMbDsEWvaA5NKMkm69Cb24i5+QV9GiccJA+jU7al+86msjeaw3mX+AlfYMH6HdJS5Ug0UhBRvrReWFVDiW30lNlzPWnwgQP8U3gChzbZtDzJS3Tk563rtrhNXggrzuXxbxV28VT9ADcZf+zJwqI4Sfbfm9zAPO+2IPuNWv+IORU+h3wFqNol/HfJwRjPJEmBFYGvQwRQz/nPIVoP4/9gf5yzhECRJ8GQ8IGcTMwKEVjEc4RhmfaX3xmzzEeZqu0/cyQF8XUh//KnyqB7xqhaIyi+BQ5Qdp7qYOhtfpv/zmjQ1T3WvY+xs+o7HONtA0UZPwVDV0lcbZL2JmzfnsWHIv4rWCtrzMQkKDbbPeWt+f0ZwzqZ0vbz8x54+TAr7F6lsTfy4iwfnjaAId5O5PAPIu2PpkRss76tQz6Pp/hGzwEXBi9cMvg7SRPh7sQTvouki5IhVa0QQ8OpvFOVX8EXGW4AjzoCg8R2DnR+HArRBaGC7OUubbRue/RQtHPeMxY4aEMuufuStwfg3AG6O/8zu9ccEEmJKOSS3CXk50hGi9Wwh7vUdzaooeMTwaRA3v6Q2dwQW4xcMkX/THkyvrllKcocyjQPdp71atedQl4MjQ2sJOza6wyML6jYwo7BzI6yrDM2TMO2nEfHNBPJaj6KxPcNX3jx/RIDln0B3bWBCa9ds1ak0sn/5rHOuDu57BWLlmAZGWpdq29IASc5GDDc05bTr721pkx2NinzHY9mZDBWvAlY3XhWTVAMNC/+/u7dZWVXxlZVv4abPbaBiTCCxp63vOed1l3mb5rgfAc8gxyn/orkx6Mc94ba4PJYAGu2nA82Ajwbf6cNoHUAjTakHdV2ZE///7v/34J4qMxwasyTMaAm2irDHjVHWBVyWW0USDeb/A3Xs4SvFcZV+AtetEePVrfGSjCMx/72MdutQH6ZPrv/3o/+fjhD3/4ZmsOXo4uwA+uOxQy+VhAO9mJnsjBEj10KLyjN3SiOs4zBcx8OoPHfm1OAf1GD2/pdjQZ3W6Qie71SjWZd3OqjLf902hktyKhX/RZsDv5nnw0z5zZKhDBJr1dAAiNolf9gBH6Bx8Jp7ZfsAfwDl2NH/RnfDZDiYxr8rFgZXZKDqR1b6VMlQw5l9FAGfW2B1XKbj5s9AIwVdFoV/CtsVdWbiCgM6L0FU9Zb7KnrLZnqs6Jx80vvev7jpFfUlvPgu01B34DB/qxfjjrrBHzYdO9/e1vv8wRLYLVtSSP56NltlpypQw23BUESW+ku41bsFVwnEz+9Kc/fQlOZfPZUoFO9G3t1mfrrMoKnwJR3pxAv5Pl0Qq6LYvtszMJ6HZ8wm8y77YDmFtB9xx1MLQO47unPRj5XbUSfg1/+srOLcljreDnlYl3DvrTlLIJVwd8EJRF1CtfqIy3PaoZ8imsjJIcdIQi+kO4puiUVegboUOyZwhWhmfvN/e9/WMt5ZrR4B5BbX+OfoxF8CGmMuNl0bVNiOa4Y7Qta95AwGZTc26ai3YI03zbe+6eOYgQEVSV5jG8c9S0wRCEq/vXMhXabOY5GK8RuOjdDH6O9PmZQ55g2ODKGZms7wzEhNjppCf0c4x3Thm84LvzP5301nqNXNeJbyzt7uXcJ2CNSfmYA8OPgFM5IZMOPwRWzsvCtP1IOej1h9bbX9o1v7tOmBZIsj5GrveV9ucQLNfaS1SJM1pEF2iA0MtRlzXocDvClkAmVM2LQE05lFECjwIJJxwz5lNWYIIWMoIy8s1N28pnrQ2c0IDr5nrnoD8G3WTkW97ylpstMzmxBYfAuHLOjJ5kZEHBsg+eRR8ML/BHW8obKwn1iWaU2enL9xz5+Hmzy2uI6FvkXRmoYBBjI5m1xgk+gXN84dMcK/FLRpYVjf4yRBsvQ7Xr+kpG6rNspKj/gw8+eKEnc+NkRaeVN+KJgpeeLbC7/Jph6jMZkwHUnMrKeD55nhwrwBBPV4adnsmhcx9OtM/Zds3vU0bu/DaAYT4ZpwUJypBnyK9uaf6tOwf8NCg3m1X/+qkM1XfrWd1ZkK5KDrKrvbUCyIyuMi+ts08yh8MCDuuIo+2y3I1vzpV6wmX7cnN+0Xx7zr132H7jghg5zPoqkEWPclzQMMM1/KMnBiGZBj5lKCvlTz9WpRcM+4z20k2ul1V1zX/OlPnR7ZutjObcu3PQv1k+RlfgB9d4bN9qgc6TO5WQk6/ZFJ0YLXkjqZNN9yM/8iMXJwXe4UM/f/mXf3lzmjqdzBnI8a2st0Db8hq6cYo1Pc0ms70S34V3+GU3dH6S+RtT4LPydHNGn2is7SjG2Eomaykwar5gQp+je3OIp+j8973vfRdb1vYeVXPGAR/zwD94h51gncm2M5uczdJBcsmCdQ6zg8wrGZotsc48fIBlfGn+a9OChX5ztpMXVVMlfxo7532rILcyKR60poJr4ex00tOFZ/A12ZF9u8GHArELk/ovcAqfZBZ5I/Nsi6pXOBcU3wBfz7LV4MZn8hHM4I5scN0fWJOJ5C264O94riC274JFVRGxNQSQsmuzJauyAyN2LkdddccXvvCFm5Pq8Q57wnkGeNBa0Gs8CY/5ddksK/fzFao8woPmrB8yH4xcg3vrQgt4xHPwV/bc7zsH/bTQv8Xf93LQAblsadnjdfJ2mCJB7aFkiLXXVXkOZ72+GIui4pSs76JHBJZ5nFmpddIyiBGqgxz0RxB1wEIOqbmuA17Gu/mWGfe7YMQafl2LoSqVX8c6gUyoYECCHhP3xzkURcIkDFLtRT71USnUHlyxRtiZqdmMeHMzzpn1DkcZo4RJhjZGwtgdrFE/wbds+hkYOElJ3znLm/nuesqUAChwU+BBX74vTvt+OuDb5pyDttGSe9a0gRXrTCjCiWy6P3OrvOsU7GcGfcvcK/MkQNFs64LHaAId9wYDUfAUpXnkTKc8ErTGQBcEZLBkhP7zP//zJZLur/doth5zCVanA3PCKSNU+w6KywDxbOXABbMyFozhu/s+KYDbHP38FsXd02q+DnqBjHBfFhFs0RW4u7cOEvp0H53lSKGZyt70kbORM0VulEXHx+aQ8VdJdNmh5Ac55p9h8NM//dMXhY0/fOYYZRSZTzjHF2g2PjJOdL4yMqVe4MG8Pde8ds05P+1l81pAch7NV/ZvfEGEtlExTtszaW14pVK7RVwysoxukXxtWl8wWV4v66/dZrfBrOqVXuO0jnnjFBjI6DyJKSM0HIenSrJz7v0mkzMk2xKQnFrHPsNpHfPk/+m817bqsQIC+Le51Cb9yYBSRktGwHkGtnY5+vqJVqzRfJORvoMdHLS1x3M52fqrT3aBuTH0OhMBjq0XLAry1l4fxsY3jYG2ZTyVJudEV8VR5gpuXauypKzQCa9gkvHuPl7zv/BKh7lmnjlI2pv/G9/4xme1jFz5CB4F9sC/Uvbg1pkNp3ws0wz2ZJbgpAAmWhCk4bQWJEE7n/vc5y42F56kl+lfOM82i2fhqgBjWVU6TtWD9pIn9qDjB3OIR/EDHkVj5kyG5hCbk7bhH69oT1/jtWgaHDoVPr5JZsT7nqMHfu3Xfu3igJu/NeERDphtQQ6l09cf/uEfXuBZFR27oPdUL203T7wDByUijK2f+KEgYrjY6pAyvPqwVjggg3q3fPpKH5tNr/9r2eva4rfKpc2pLKzr2Sj8hmSx+23x26DqBobLvgffszKg69YO1x1cqA9Bmuwl7cgoeslYDqy2Jx3My1KbT2vZDDo45F9ks8Evpxxdse9U/OoXDdWP7+iEX+R5J6ybkzXxJZLVBe6jy7a5CVrRm9bAOf/Qhz70gHePwx3agtdebYp+ot8CmdHDmRAN5p5B/3BTtXJ2ULIWPAvIJQPACA0LctxmG/K+KHEvg45AQ4zvm0F/Igc944JwRVwQA1EdeIShESjDk0HGWNPW5xPtN9+yPgQF2V6HoG/jEFAIbPfi7vdrFnll6znf2iBiRHY+SylUmtP6iwojVvs7Eg6VtOvPdwRN4Lb33PcyukUtUx4Zfedn828MzLWOdYIioy3BvwJgYbCCLIGYYVsUu2DIudUhR3yvn077Krp1zgsgnOXrT5Qdf6J7yh3RGOWFLjqEg0Bs2wHa0oYBugbhwmOd86X1HJQcc89QVOZUWai1WH+ZvxR07232DOEMzin+yjlTojnowQXd2G8s8FRUssy5/jaIEnxzoiphz7iOJnxmAPve3rFOc4f3Ah8pbfPCl7f9FRnX+PuZvrYGKFzmGJStzcFN4W05HDy3DSMYwwV6RBsr3+C714slo9rrlxNXdDrjJP7Xj3HRIkXJoEUfFH+GVwZbxlc02OcGB60zWRU8CzJEP9GK9ccDRdGtsX3O9vOZg8wEHstAKPioHSMb/Cp/LrC1hlYZ6mTkGhRVAlTJkLO8Rpx1+G0u1pz8y4nfSpVKPJMJni0r59my4KeMNDftThmJ/8vwGpfuK3NzZrJyrHOma7dGb99Pxz1jy/htkeG8lPEG3/avus85AX+OQGcVVNKYg56jHAzAuHM53GNIo2e0WmalLP3C3FzReG8JSB92SFiZsbKOns3oLbgKH7KQMlCC+54NL8EYzWzQynV9Ws+eF1A2MUc+nOHX7ADGb067+YWLaM86nd9zmw3QZ1oenv2tfIQPNIDOko+bQY9u6gMv+cdvyU96hw4UqK7qjDNCl3v3N9zjYVsfjMWZ52iHx5IX8X7JiuhX0Pk1r3nNBZfsB8+ijzL5+tlD0uK1lY/mo/0mTToJG32newuyshk8Dy4+8T8bxloeeuihyzVtejUkGdvry8Clvef4zbg+C/BHt/FKSRqwCRbuGdu4cFBVS/Av4Ox3h0dmz2RvxlN4As/77XuZ1gL74JrO2ex3dol2e70kAZ4Dz068z4bNH2m9dEs6y1pLdp0VBcY7HfeqXzynwtJr5r74xS9eYCL4IDDQYazoRMJEsOSXfumXLrIyubr9wNMGQ9BOAVhrEAQlg8kusNUe7YKv/syF/IRnso2PVKAanCT6rNF9NFYwuWoE/ZLhBVhl/p11hFf0x8b1fNtFtlKsLQoF0va8AGuyTvhEn53vQT5mT1f5l20af2uvnS1rb3jDG261fLyvHPQEjs81MiD1dNBzBiEHcWBawhDyEDpCQmj+KDKET/BwnDCD9vcqaz8NHwKUc+7gA3+ENYLJQS8zndOyjmDCJwZP8CBahJTBac05kj77njJpvZ63Xszz8pe//IahrXeddMIQ3GTPCWKEXtQM4RcgWIP+Xso0Y3YzWn1fhz2hbG4ZsuYLHq7ljBXFW0V5jp0xci+HryyJ8bU9s+XrYJ/O9uloGoMAyTDe7+4ljM45bkY9oW8u8MDZiVbs50FrGWvwvso1R73MEGWp9G0FPJjliPjc14sYJ8e8LDnaL9vifoomo3qjtil0ayhin6BuTgnBVXQLj/C1eNvv2q6jnkJ03VxzRirRomi8iuPZbHyCTQao14XATWV/0Tw+y2FrO4Xn0Bie0M5/BoT2KeqyumWWtTeG391LFuaIxNfJDZ9kmHly+stKZyTklOgnw2wzpTn5O9+M6hzujLBkZAGn5FjGcMYTfiL/KOgf/dEfvQRnM8CTQdaH31VYKdMzPwYqGRlvPJmMzGhk5Jib8ZMt+lk5k4OfXK8EGkw6n6SSUuODqT43O7Xf12GD7+5lyBcw63qVFBk8BV3WMWxO9R1/12arCjJMV4bndFbFUQA1mUS+1IaM5ORWQeYMBDKnIIN+q+gwfvqf3CsQy9Bs/2U2QzCEW/jsrQX6S87CS5Vu5qN/c14dXEa8QEEyssxQe+iTXfFMPIgvKhltza2nz9ZYFjDZXAY2GWl+5u65eCEY2Af6bJaRyUd7TcukgSf6zC7zu8xawY2M/qq54K/DftElB10flZILNtLpnmND0tForAOskrGVtWcDxgNwKytvuw3dht7bYonuKp2vIqMgjfHKzOcEkbHmghfMP6e8bSQ5oWi1gFOOuU/OubHZhTLj5J+AeVs32LeeFTxwYKw22nqu4F4yDw2f9nIyYXXFZvjdL9ufrtIfGVWlUNt8XLNe8GhseKm0eeXeKR+zW6/ZkL1bPF4DJ2NUIVnm/F5Jp00khqsOYgXj9s8Hi3jeHAse+YSz/JTeGkUn8GFUNaAjWw5f9KIXXbYygke+Q0FJuKoPuLMWSRbvq+98hGisvfzome4jc9Of8Kt/shkezKEgtTEKGOorWK18LLjYa/zMX4DB3JKx2e1+11/yMTv9tN3TS/oHI7/NGe9VjWCdYOmadsa0VsGN2ywf7ysHHTFDPqJYgz/FGsNlfCBe/xgXwYl8+rP/IWFTWQSGrhy416idZe2noEnoyoISrARz0XAEq/2TZc9XGa9DE4P3/Dru7Vm3tnXaK2lFoLIOGKqSTeslFLTJwLTmytuLbD5Rhn+zJDl9Ofo53frPcC37kwCMsXIGVsmcAZbTedPHtWsLs763ls2grwPpewoyJ7qs9PZ3OvXXxjqvbUm7e4TsGVBiDIBXWavv/M7vvERM4cOcizhSBrsHnfDhTDA6PJvDRBlXNlkmCC1nPMB7J/gH5z7d23VGGxnGG/kNB8Gv13tEqzkc1hsO4IzS2QqPYBY9xVcbfTYn9OFZiq2xwcPcwPXOQX/cQVfKWokmHIIbWkx5gT+YuVcAr/Zl0rWnkNGdssGeLfMLB2Vw8H3bHFLg60xraw7GStnLnAss5aSgkeRfwaKUa302ZoZzWdgyG+4nR3K8O1TGb/01zvIiXlNaBx4M2Ojc+so4gJl/hgQaBJcy/PH5KRMrAW/9leDF0xnFm0ldxzUnrMDJBprX6CsjZX1reN5LRp7GacZxQYyqHOJ/61rnfLc9rczTpmd8X7xdk5c77uKyoAz46afArfWTBZwXOkxQJYecPLTe4OI7WJKH2Qj6Y1BymMgNbdCc/tu+UFZVkL6KImNaS1sM0FjBL5/R9gZZwrm1JPcyeNFOlWkFGayjwEwlon5X7pxzUpA7fs5p9HwHngl4Vd0AHvhTX+9///tvtQH6VHTq/6XNBjDRD/ooSwt3YI1+yzRWcs1opxuzAeGf4+wkc7isOhFtoSN/7oO77TBVf2zQqSBjMiNnzDi2RTgpXVa0wE1ZQnQO5/BvXiePWUe8mpxET2jCX+XYOe6d5N6+Zs9mmyUz0S27lkMnYQVm7oFTCQR0jk+8+7ptHubYK8Cu4S3eiVfMCU+bE9hZs7GyZdMpYBXfhzN9tTbt4Lc/7fUBfyv71inf+Z3ycW1I+MgWyUHHk+uc53Cf9pI2a8tXNXAvmk5vJxt9ggm6NIcqpMANXXQ+kECzs134OHDS6xzBspJ2MskzDnDL3gVTfoJqjaqXrFH/qpY40JWh84vowYL02tE/bIU9C6Qs+G6pWLyAB9zplz2LZtBqQUtrbpslvOJPMOhMgQ2qVmVhHvGH9ulpDrl+raNEhTW0/QLP3TnoT1PCJlw7xd1vhLN/iM7fOjUJ1ZBEYX/ta1+7IUKvpiAQMzAhqGglIixTioiKTp5GSb8d6PGKV7zikqnOQUdU7QsxhwzIjNEVMDnYBRU2y1I2J0fcfIuQL8EnvM07weRwOOVV4CN6RNBinPZ8I1oRt3/5l3/5pj1tRbIyRhKkjZfTvZ8LGwIw4VVWKhxpV2bXussAaB+M1gjNQDnncI2c7hUM2LZnZvxev3N8O4DnW3XUN7NlnWW6fVYGlDICI/0///nPv9l6EAxSBkUDRan96QO9JSBdI9CM2zX4tb7K6oPDOugpwu5t9nwVTfhbIyCjkZNePwunjFTzWZrGT10Lv2fgK8XX9U4VRyO9GpACvXPQH3fQvUYI73fYS8Z/hkYObVkWuNIenpIf5KRybrTTq/TgaLOI8JeCjN5yDNZRLwjQliJ71yh82afK4MxBf+h9K2iMX6a6CH3ZE/SLHtBqa8u4NA9GZDLSM8mFHDb8YCz9M0AZK2Ug2wtfkNFvfTF6OPPglMFo7BzClU9rfHc9JyyDPLmTI1aApMwyGW2eOatVqbSuAisZcasLVt6tTFzHuOtbgp5h3xpz0DOoPQ9fVfZET9awwfLm/EQGaDpqqyyqMKjUEgxyMs1FkEeAx7NgU9VSsPSc+XGS0IBnMrxczwkJ1gVuyhxV/qidNjno6TNzzXiu8qRgTAGgjOnWXjBAAKgzHoJXARZty84VWDOHnAJjFMzJGE2/Zk9kmAaznHV9e//3bTZAn6Zp+JQf23OM8D19ZVtLzi/cgTt8cGoKPKKxHEJt4VApN0eGHUYPkWm+66OtFOTnN77xjYt8gde246xs9D0Zxjnyr9LBc0p/O2ka3toWZF7wXvl4DlE8bCxtyVZz0a7gWwFLNM9+xkv+tmpKP/pgB5s7eHgziFPo/SlNVjKMpsEJX/gXjHAgHict2VHyAQ2nw+P1HNSqQpI70XgJCjDCy+ZVZWGZZWMJuFkf/LIp9Vtpc+83Tz4mkxvrtGWT09k02mu7FYo9mzzIxi/jq49seN/BAJw4iAU3y2xfSwatDDcWeYHu/MEbOus1bWw/+qiD3MCInlUxC9fwn47Y5CUa7swAc+3QX3YV2BoDzqougbsqJsE0O8B9c7J2sAeT5ONmz9MdJcqCSzZF1Rv0a6+lbItEVS76sAZBsM4QMPfoHB60SW5HX2CFpshq19A8Jx0MBHv1j65e9rKX3Wr5eF9k0HPQITbBACHr+EFSQmmjZpApA6Kco9OtETQCp8jKTF8raY+QYly/15nIOZeRt6/CyYaIF+FhLkK4yPsakde0SyXu570c5YTtZtxz7j2DGM3T2ikgQixHx1orTSFkKSmMaM4ivcExwyRma6w+1+DLucrwCzfBao1n9za6ieEY6hRKz2f4VQpepUSRzRXk5hPj6XuzRqcQDp4ZcmXOz+sn3Lfd4v/JLIMzgx5sW5f7zT8BXCDDoXFopkxPJ5MKpOw2DIIK7FIIFLy/hJy5XyvHB4NK2zcz35rKhK1zntKN9tcYjxcoiug+ntn+tzTpXnAOFic+g1v8AX4F3l760pfeauH6ZLTyTNzPAH3Xu951010ZtjLgeAhfFPDTMP7BZ3CnHwGgosyegUO4Q29VGoXzsskZMznSZR0pSDQqMCgY6tNrhozBSMwZKfjod8Elc82oalFln6rOyNnNUU5OrLO7c4uuXGPg4BXrorAzgNprip/QNBnKiKEbCgyXwUhuVU6fjLwmK5JJPpNzZCxY7r0MWtc6ZClDQr9bXglP+mqNK5vXCQ1+VQb4vTJ/9Fw0AAAgAElEQVS7++mXnMzgX9XFNVotMJMuWFxt+81ObbCiuZRtXsO1rEn9mAd68go2hnjvKc9Z4BiBZ/LC9bLv1t4ZLu2XRHdt6coGKBhftUmVT+nDdcQ3EJPzlQGbw9e6fKK5tqBoV6ASDMOxOSWDw1H0lgPTuI1RVt31KrKCN1g4v+fOQf+2Bz74wQ/eVM2hgRzn9HNORPtdKykHZzhwVs8nP/nJC4zjJTIBn/pEk/7JEzYfuVmAEI6TEzl2aA49KPd1sLA3/3zkIx+52KlKlitP7uR4tBgNV6ly8mRl19aSzPcZrfhuHmWRC8JFc81Zxtw73VX14Svz9x19ctQkuDh6HJ6//du/vcCGfPeXbk6fN1afa79qD7boP/lljb57Ph1lztqQ2fELGLGLBCr0qZ/sJddycgvkJSeNqb01b6WKtSc7Ch4sfHPYfdYu+ZVcPvGx7eLfU1bWR8+e+gzO8mvawmitwTM4Z/t7BRv8dQAgOFmbwyvJIHrNuuHLb3SO1uDSdToPDlwnY8GNPtRfdCzhZzy0ED6it7Ln2cHplfQimBRMtYZ8GPvg8VIBj6oACloXmC95lX9RsDKeTD5mS7jfYa7Wl86MTm/7IZr3hYP+0Y9+9KZsGoLOjF4lQdeMf5ElTqhXp/lrDxomrZ+ie5AeQdzLeC4wYL/5a1/72guR+qtU/Cw/1/cyav3mtPhtTR32lrDMQd2Sc8RXBjQHcqN2iJECUX7V3+479zwFxDDFcARr+88Trj4rIb6XkbXG8zrWG01MIIm8tseQIhMc8CdaDP456fDhD/zhM4aO0dt7VJbWujvIwnMpwNOhX3j73vOb7V1DecvwM56L9K2THc2sQ+7aKqRopUhkZeM5O8E6heFTuXuKhgC1jxKMCBmKx1+vAwQnuKTkfW/PTvBmMHgWnDqwiJIrY9rcM0Jabw56QhBs9X+vyG+Z0JRYSrCgyBm0cD/4hZNwv3QQjutfm/jDnO4y6I9n0N/xjnfcyMjoFYw3U7jl43AMhslAsFZqWKYvw6msBdjrV/sckpUP69BVjSQY6HyFSvM46JQ9Hq1MLocNjsN9fcVLycjoP+fefFLAG1RaGakva8uIMh6+soeUzO2esQQp/MZT/tEtYwf/Via4zm/8ERzWEV0Z2XyrJCm4UNBBALVyTEFjwUtwVs0FXhkxZezL7Bm/YEaBkfopI43vK4Pfqqgz2LqGYYaYccqCrF40jxNfroEXGadvcCqDtbhJRpIlGWrg4zkwz4jSv7bbp3WQfTLpBaEYkmXOcmYzvvWZbEtXRFOdyeHZjNQMRvK3SjK4LbiV3NoAR86FeQbzxb3v6SZtC6zk9Ddn7ZbXjGUc/eagrE5cg/ecb3hGCwz2Owf92x5473vfe1PqDF7xEnoDZ/SQw5Z8K8DCVmKvKD8vgJWs2oTE6tGVBXC58hGdCCDpw6nWyTHBFDqcvCRvfG4VWXxUX3sWDjuUrPKXQ1dAKEereZQsyXERgOyavjlxMov4Ap/u4XD40tz8e05AwbaoKtuyLfRdMCP5uDo/m8B4ZUaj0+zwEhmCBeZnbIECuHBPRQP5WNk/eZID3XqSIcYh36uKAhvz52yW0IOXZOU69PE9Ox1eK1uHn2zetnhqW4Xgyr3Kus01HbKJsGBUsDi7rTHAEx6q8Og8BHD0PXo0D9Wz1u8eXSJBWeWYNaNrNAEeHdIGrtobw/rA1TxVBaN/19Gsa5z5ZHuB+SoLqtwLv36XGKgK4JSP5l7FnfYd4lggIn1U4Glhpe+e197z8aHv4CUYYU3Zr/AD9mD04he/+FbLx/vOQc8h7DNkbWQuhwtyEOKjjz56kz3X/lrZ+hqbvp8Z+gQx5P7Kr/zKJcLYqb7ac9BlORHMRsvKoBfpwqjrJHbd/DfLfmbUT4e9+0VaM6gR8U/91E/dHA5nbpgNc6TIO8Dhs5/97IWAg0fRxhU2pyEXc51ZmIzidfIIggRlGVWls5i9krFzz3vlQDnpGUg5tyv0MpBPQ9nvsiMJjnW2C25seWROc9eigSLr0cdm1oNXzku43Iz+Zpy1i247rKJ+d13eq6rsx6stUrgCG+23am+Ze4IeZdBz0F3v1XrrnG9Wu7LZ1rvZ852/vnLiNqjUmn1WeouOrE97/SWkKcHzjxGwfynvhS947tYPMGqert9l0L+5xH0N+LJyKbUi2fFK2RT8zFiREfFZEHArGpanM159JiMzRn0yFvD2c5/73EsmCB3uq8oKKkXvPnOkGqeSd7RUht14KfqcN/QWbWYY5ZBn5FVmmuGAbjjmgpgc4Bxz8osMbkztBRcFMd2LT8zXGMnMfl8zyHOem0vGXMZN1wsw54zKYmQoqcqquiAnDp7AOZlbf21f2ABKMF1HPr5LRpb1qJ/l85yU5HLl3afRXeDG9aWd9FL0di8ZWdWQdlVnkHer56tKA/sXvOAFl+CybVwMx97hSxbpg6yDwwxe8i5jN6cHbWpbRrXqkXRBDnswyBgFX7QSTeXAx2P1r13OV0Eq83Et/ekzp8f40ZFnqxKowiqHfQNt6TprMO94BB7Q+t0hcf/fxfb5wAc+cPNqviok2tYAVmAb74NhJbM5mk7DB3e4OoPVi7OVj9kse1+/cPW6173uckClPgWJ2GYOW4OzDvyLrtobHF3R/70uFV2Zk3HRSXyq3w1MWiM4WFunnBeMZDdEUyUCZPUdDlclSgcrFzjg8DnIzhkHW0lTQC8+TG6vc57MLFNdoLEzAtJZrb/3eHcuhWoDdqTkm/3vxi8o7Rnt6SD9Zb+6nnPb+GBSgE0fYLP2LT2hbQmT5tmWAc/ntMMJuGZbJx9L6qC5+t5EB3ht5U72z5bXtzUy/WE+5qW6KzsuuatvdAJ/KmQ/85nPXCqFOakdgI0e4dPajecwOLras+Roc/DaNW1d6+yBXp9mzu0bLyCEf8JZFQmez4b2Xds9e6rzIDoHxhwKjmdDGgutFdCwVrCkvwvUJo/BRf/xIVjAowCWT7J8zwR4/etff+eg/y/r/CleqHxzM+j3ctDrEkLKWnMCHEIge74R/4yEjJecsdOZcn0dJ4JZWTvHAMGX9YbwT3/60//LQS+b3nxOZ1f/iK/oYFEw12PsHPoULqIt4hihW1sZKYYngY+hOrkRM2KmbW+tf/Inf3ITAdQ/AVWbnM8+16A4nfQiVvWR4F0H3b3KoMIVASs6hykJnS07zLlbh9m4GVmbAQ9vi89guFn9k+xaGxyvoV/EDq1ttnvXt9m95lhgaI3KVdLm3OtEVoBnCLoWbilAxjkYVa7jPmc8B13blAd8oyVKQpuErWfQRs45GBbUOYNFncmwcDqd84yT6KGodULd9Urlcsxzqgsq+cxB18b3lMWOHZ9ap/79Z5iAi9fRPJuzQ2CVjPQ+1By4MmhliTIQi9yn4PzOQXCqK7qCz9OBCCdlcsPjGp54j8FXVoJC1Q8HynwYVAJOaB3dxd8pZM/jlQ1uJmdystY5dG+Nn+hPfxmq5tc2H59lG5RoMlbMo0xKRnFBMH3IFHzhC1+4OOo5oPowRoaBeRcc3kBFeiOnN6Ow9mVT/W7vuzW0/3wrhpI7nHZt1gDJ8V2+Se/UxzqOpzNhLWfgYPsq6ONaxrc552iiF+NkpMNLz2SkFSwydsZoQQHtCyzo1/o6MEo/wbu9t2TsBjRk7zLKzcP36Dg8lVEn31wTHC3zRm4WHIBj82ttnZGCdsryZ5CH15xmn7VB4+lRa8ggbO3pR8/0LmDt3Dc/cANPetycGM/RZY5jzkSBl/aFum++6JpcpeOfzTIy+ShQAe7+wcrnOujZejnncAOWgjgclS9/+cs3dFpFRPI2fskmOR3zAjsFIgWXvFtc5YzsJr6yTZIMz2kuKJRzYb7WUl/J8OxCtlVvduhegfOy8q63d71D8bJhtUUzgkIOzjIv82M7oh8ZVv2w16wb3dnLK1lF1qPf7Ci0WqCojCbazj6LZ8yna2h+Kz+ypfRTFRH4GqugBBipGsDP2qvYcq+KgQ0uhiNz1x7fsbGyt5JVzScHD7xyRHM2T/sonsxBTaeSWR1cmq5KB+PvAq3aJw/L5pNV2VjhxjPWJ4DbW4DAzBzhJue8Myj8VuEQzRQkJE/AFDytn59gfvoFE4FP22TJH3pbu03wmQe7U1vjtm/cb878ysbsQZ/4Tpsy6a6Bh/mCezKzKiPzbmsF2IJzVRDWxreDY/pcpan7W8FVEsGnNeKPbBT0j69VsNxm+XhfZNBFyTrBL2NlHaqcsXUwEZUIE8GKIRFCkasyF6fD1u8MrhyLBAlCcBCDPZW92xpRyW4q3+xVWR1ukaAsalR08xw3BV62qN87xrYxvxi+CL21EQYvfOELH/iv//qvC+NhxE5vb++5sQkDGVoHxKXYNxChTVmqNejK2GQgto6MlgIQZRiMc1Y6UCSyvmXRP//5z18YK+VWkAKTtuayqAsfODTn5tncVuinKFO+PZMQXkMy57lD1TbKaS5FgCupyVnRt/l30ngKLzhvf8bYwIc2G1kOnuArqml/V4K4rDTBCrfrTOd89+oI9wlKwmyDIrU7s+eNe+JqeSxl0bp8LozqI56xzpxvn8tLtc1gzVk/YZHTtcq1a3cO+mNQyQBV4l458waqijqnpHN04k044KzCPVlRSVp8tNlY19bZL5Dlmu+9Q1r5OLmkvC75ZPzeJ47+GBUF9vCh+eRYZkjkoPvMgInfkw36YSzsVp8crmilQAXj0ndl9/SC7/gEvHzv1V7mQ0bpU4CBkZDsSJaU+cgYiUYrpfdsMtWz4Bt9L362LBYMzRkerI8RCRYOsiuAkCGbs5vsZXxUMq6fDM/41NgrI9NNYFWQzbw2q5UTWBBA2w75NJ91QndNGesZrjn0BYw75TnnlYzUX8HQzVgnoze4XTDIq00Ffay3knX3Mm7BVp/r9CYj4aPDhzJuoyHzziDMadBvdNL3dc7XeA/f2SUFZ1rDVvu1pcG83N/qA/AvO0ivbBVH+Kt9fNozfrNLnN9zmw3Qe9lgz9T1DWCWHYQfcEomhseChWWs3ScbJV/QBjrpgEJ9oJN7yUc0jJfLLsbbnNq3vOUtl7fscBByjjiVgoH4GP1yPPF2Aa8OxSpTu+P6XqC+jH9B/A7pzJYE1xz5zqlJlpLP+vFu6I997GOXeXgXd/YEZ+1//ud/LnPivKu6ckCc4MImwOJ/MLPulQ3Ny3qz9cgc4xZsKqsN/ng0x1dfYE4es2cFUK3P+QJ4o6CL9nAKnzse/HXGDwet8XorzlYmZu908J62rjW37mfPgaG+BTTMiZ1WUA08ShyCP9rwn57St7kKBPuDh/BLB9BbvcKOzCXXCnrqu+Boutk9+P7hH/7hB97znvdc5HTtjYsG0WXZcPPISXYPzcMHGFtLTrJ2vRKtIMCpOwQdVj4W7D9hl/3a9oTWW7Ci6jxje/ML2gvHyYZ8OvAwZ59rv+izAH39o7m2suC/D3/4w7daPt4XDjolk3ObEwHgiAxSGGkIfE84LzvrcIR1znM6cvZCNsStk3oGANz7xV/8xUtpe04PxkBgmOFzn/vcjbOLSHIwdxxzLlJ3KqAyMpjAWnPyE57aZxAxqiuB8ZmBK4CwpTGYzDwYzL7nmBGOjOk/+7M/uxHs+i+rFaNH3Cn9zbiWkcL4CVAw8zsndtdY2SQhmZPuvjIV/zl7Ce0y1PWnbQbKZtIymBtrs+mb/XEfk6MRaydE2sO1WXp9Fwn2TIKCIGoPbOvLydlAgGfgznPBe8v4rW8d9ScyRIwniOLPWJ7VJ9isk24dHXSkLeUDnq5VUrzl7egQLnfd+GhL1JvXOubRbnS8fJVjsoGMHHR9XXPSr2XUFx71VfDGp2d6bdJdifvjDvr73ve+C32gmSoywAuu4Da6TgGiGTTqGdFnijdDqm0h7icLls+6tvKCccKo/I7v+I6LDMqYCofoVckkA8BzZVS0xT9bMm78fuekZ0Sv4ZuTv45nMivjuOysMTKCzElmLEeKPGBYoeccZuPp175T2YSc1ZytfhexL/PWeqxhZWRyKYcvgyGnGHyNTVZUlg9m2gv85jT4bawyE9YE1umu9FZyawMI4S1DZo2iDChGLxlpTPeTkVuNUeCjoFuOa4GXZIbPaAmczD0a64R2+iCjqTXkwPpdX9FB18CrbQkcBfSbftIm+il77nOrl3ynB3OgwDQZmP429/CFZppnFUIZohn6BTLSZRs8LxhRYCWcmXdvTvB9nUZrBOsN2Mdzyclgb87xnbXTAQKftz1D9Ew54vfqJwdd+Th8dFgf+Punt8ANLYA1pxXeXQM/TpaTzCv1zu6ET7y6ARU8svSZfoXznAJVXwKEOTrw1onxnAU2ClrT3r0qauI5/e/e85WP6Nfcy2yyga1jD+gtgUBed+r/nuUjwWPeaBJtSTyAmcMZ8UyHuOFfc1Sq79ycAgl4ZIMHnT5fsKzMdZVL8ZzfBQvR71YoJTPwgf7QNucxXSLbL3BQEDUHvQx1/aGReKlKzOTjBgCrCkrnrXOuQpXD3KuYSzRVlZGdDk/5KukiawfXbG1twDScbbVnh14KFOP5fXVdlTorJ6/JR/3CM9/E/SoBKiuPNgoKr70mm97ec/QAlgXwswvMPQcdzfpeVYI5FrTciiFwyilPv/Vb/55BBwUUVEzArd94o/HSZdbXVmNO+ikfCxLrkw3cXnT0w0F/05vedOegP10hvK/IaJ9tmWOEC3n+CBBRlgSs5xAX53yNTm17vjllyOwczxJljPADP/ADl9dqeNcg4jCGdgQGA8/rMShmBILgKis6+8opSVjkwG9UvbL3HLsz865tDm9OMSMyGGW8YSrzETnOOME4rsmgy/r7y5iptK7SyAxMbYrSZRg1b4xvjc0npbTZtRxd6zGP00l32Mc6sbveBM+Z/TF+pc+NCZf+wvnpOK/DfjrvnsPA+o0m9nOjwNYA16v4oh99gDvlSBma/9KYOfmvDH2d9cq3U/r6F1VvPznhZGyC3md7hjvYS0kSQUaJnrQAfv4LGlQBEOw2w70Bihzvp8LDYKI9emvOm0XfPna8ayXvOfVl13O8oj+w/Ymf+IlbLVyfCsz+r22SkW9729tuDlcpSwDfgmHwic5k1PAW/s+RUyaGXqKPnIKMrOh3HYccrwwic2hrReXF5OJmH9CZcmTjZzglI1PmxkZDaDi6zOkqUFcGo4qX5EaByTVUyKWcJQY4ujS/DoPLmNQHugUn7TyXQe7gPDDMUfSM75Xh5XiujCxbnSxxT/9lTbaP5Hcyskw4mFi7eXjWXnjz8p+TYB3hwGfOZjSVc7fZrWSLNRRg2+BaTqd7zTNjqMwyXiyYt7TQuMGmV55loKVrjIcGyCtz871Arzb6hxM6PvwVlAAf7Y3hmoCCVz0lFzLsc5aiKWP6rxwWfVVxYozgmGFtPtkKOembTddvOqTqjgzSDYoEk/jJ2uCQk8FGMQ4jn5xrr23BEjSQI29+BU3IdvpFO5lM19ceyIlDH3evWXtsDzr5iI/LLqI7FYacZfACf/YimkIPcI8+VbEViC9L3Qnv4bQKjRw5eOk0eG3IFPRsz7mDTWWl4YY8hvtOaqfrzcWz8Au3vTIrHvSc8XI027q4wW5jGs9699yafX80/mALWIvv5ij5JIvb24fcT/62B11VVGXRTlE3Z3I126sgkfHxKT2QLAfT9AhYpqesuWRC8s96c2zrO5x0SB0HnQ+An/7gD/7gRibjOXKTXZ6c85kDGE8aqyqlZGA8n76pQsszBZsLyCUPVu7BB70HR8EiGNZOP/E/HNVfOsDc0QUbHW+Dt3l1+K/+4cthmWgn3OsXzXo2WEvOOT9BP9ZoLuZoDDhobn7rn5ML7uBCtoK9tVirtmXejQXHrruWg+4zWUp++W6cZOJ+ru0TL4E3+ueMc6A9/5znPOdSrQHXGywpKIJ+rFfQRD8qOrQ3Fl5j46BBcEN/2veWlFe+8pW32oa8LzLoTreMmDKmECFhgugghrBArBwDRAK5rkNGBkMEsU56zlPR8gwtn4gPE/u0L6eD4UK2fhAzohGlqoyprFXjnU562eHNjtfW+jAcIj2DCdqs86odIkRsSqYIyl4VJEIko0Wwus4wADMESjFgcK8NMU577irZWme57LmxM37LilTqjhHh4VqwA0xSLq3RmOZCIDDCHFa3bQpAbGn7GQCor4SB35s9cr1nTidonfPNIpe5QkfNeyspimKfDnrZaUqV0ifYwNhva6BUe6Y+GFmEaYGZhL+57rzhUIlrf+CVoZAQzfDVlrCEMyXy/e0edNdy0hurdus0B5cUV3DOCT9huobwtXtdO8veCw5dm8M67uAYXFz3+y6D/ngGnQGaIVmlB9pKETPO/LtGrqAhdNkeO7wdrn0v+57RUHY5R2kzlAwhzoY3W6C/Mktkpz90hW45mYyDlPE65ief6ScD7VTkcO9eZdHnfesooNMbD4zVlp8cI8YRHaEfz9AdjDht2yunhJphUFAjhynZHFy21LgAg2fSHzl+BeSSdzljBQCCN3iUgSXDVdLgd/K/LLo2+netckl4ObembHDRs6vjjLF7o1tHwYv0YJlffblHdlVJY3xj+m0eyV5tGN76rOzc/kb6iO4mZ3vfu+esrwwHOGmXgWoeGdvRFH3TYXC2sxnD2JW7M8jMqz2s5kFGWrNnySJrL8iird/uoYeyrBnijW8MbfTje3yT/swJX512OnMFeRY3GZ/WbZ69ccOc0E/ZIZ/pC3MEI/xifLhwzTNgeNtLOJ9IVzwT9zaAiVbwNz4vSGK7IvtJgsfWQPzEWQdPNqU3AHX4amW5cJmTnt4jM+hVNAG3BZbQhiCfP6XjAgIFj8ih7AG0/3u/93sX/JX124Db6uxkU5nyhRM66bCyzlk45aP15LjnTKK1Bx988GI3CKSieVtIJJ6UGZOVsrpsG7DDx2jwN37jNy5JK9+TQ+iz5EQJnORlDnrJow7LLWCWno934rUN8qFva7A+/agcbYtXFaVVQbBzK203v+RlMEn+rm3rnvm655l0Sc6n+1X7+F7mu6QHXAUfdNH2JG31pR96GZ0VNKIfjefcIetRsaCyjVxDI/Alq+3TGtAIveTsmAKcVcQ1pwI58CYJVqUrHLeHHN2pgDB37fFBwSXX9Wn83YPumuesw3M56HDVGNFDDro5kUnRRvogPCQf0WOBCH0U9Ez++50DznHHX+CR462da8lHa9rDYNsOBw9w/PDDD9856E9X0G4GPadEXwSckxwTWvYT2itIKEAWwkaUBFjOXnPYrGh9bVYxg2SNGAwjW9c+CASbEcw49fe1r33txtBBlAhgHR5tcsg9TyDlCOekbRb9FKoI0zMRHhggPszkxOSY32d7/TAPR713/nZIgjYI+nwP+jrBGdeuWUvCah3iM1Od8W5uCauFe0IwI9E9UUDC6cyi91yZrYVH8FuHvPtrnG5GfR1x15t7hncRVkKpPyW5OdE9gw4FF9CCPwLUWhMqu7+ek06AtrdSe/OgMIzj8MIM4nXQG79SNgd99HqOsuhl0ilMtFik3bMMDnSRcet3kU60vrgJLgnWsudncMO465xvRtOYOVNoRWS7DPrJ+7vODM7zMLnzmRz1nsXXdw76Y1BKRtrXWPkXeMEVw6psrveMtgUIjtE1BUVGobPKzeAEreR0lElNCRcU1C6HrNO2yRrPGhu/GC9nmQyiKClmchD/aRe/xgfmod+ChptBjeZyZKw/Q67S0pyvHF48kJxBo1tdoG98xdhovXhJO7+tR0ahssr0Rdlez2eAZsQFp2g4OZPhqX1Obs6+tq6XFW59ZZI5s4ILdAy4p0cyXqouaqwcBLAIvuHNWDnfYJaM9EwZD20yjoKvcc3HM6q1rN13Tgw91gnRBXrMUWDBmgTLc2j1UYaoMt7K3TdbbN4chC996UuX9W7waGEr4GP9ylyrMLC+6MF3hjxDnX2Q/NOf9TKStSEvG7/tCcZJVoJD2xSirUpNg1Hl9MnSgiU5XPqyFnwBn8bewExOeAGTMmvadFZCvBE+CxD51G8VBAX67xz0xzLo5CM5B5bwARdeR4VH4OsTn/jExTnJYUVP9DycF8hED9FVW4T81gea1meOnWtlstG3BIokTzIZ/8C/doIxnpeo8DsHw3MbIDd+AU74Rcv7et4yqda3AcCdd1WH0TMbxVp+9md/9iJzyUufdLK1mAMH3G98Rq+33QYNP/LII5fARmfw5KQbp4y9/vGfv96dnS2YzNKnZwo+wclW/pQlRd/ZoOYHjgILAi22cyS70w3ZdcZbmHTYWMkz/XS/KqX0m76MuQGTEnOum7Nn4AR+fvInf/ICO3OGU4ma9thnn5GN7HY0ww4vaK5fjjf7El2gEbq7oLQ5GQ8c4Uzysq0NyYuVj/Dm+kc+8pELXquUqwIT3ZGzgkiqI6ri8Rw7lewmGwUHqtwq4JG/Elzg3hja4Ru/2WrBtQPzfJqTtbbFwTPWaF1sk+/5nu+5+HTRbjoSTLMJ9GGcnPYCw+g/e30D64Im2po3v834b37zm+8c9NPgfqq/Mz6VaGR8AirDiZGQIEPgmANSCBhRKQyPwEUDEVB7P3pX5JmdjlFPZxkxvehFL7ocuFBmqTLlBKixREMJ+MrdtMmQyvhyLcGz0fWnAo/NtoMBQuUMmpc1Im7MhMHK4mLuMqmu5eAgzsrcOyjO8znORd7W6Cxbfs61bPoKwIRWWYqUSFnp7gcDrxXroD3XcgZjyioOYq6UX+vJqdR+ne+cz6LUzT0l4H4RQNc2q9/eIvMCD8ICLTDwKQOCh+AlrCjfFFRjgHFZdHjX3nwpK6VrZdmV4pzz2wy/9qKq9uHkIPgk4DsLYfek5WyBofluYKKDiFyrPMj6/SYoy8zpPwcdzM/tBadzrn0GvLaMSbSXA+4+nhWsuPZXO238bTDO714FuPu39H+XQX/cQZedqR2ZOHUAACAASURBVFy6/YVF5eGSI5UDg68ZAHBPdqFTMEezaIBh1baJsqPRRM5l0Xq48a8/SpwBh1/0jU7QNh6J58hf8/KHL9Bp0XN9JiNzHKOXlS9LQ8mQHMMcYPKqoBFlj8/iY/NBo/454D7BoQObzLXT6MFKYAFtFhjMSMBrxvGbcel788mILKuQwZhBukbmlqJ6fv+ND76MUHOyjvaCFuDNeIR3z5p/wWE4OAOjC9uyeWclyxlIyDkNb2iq09bBDm2hn97VS77Bda8CUmq4W4jQGXiWpdZf2feCSpVv43X9W9NmrjJIGZPG6nVV+ga3thvBu+fNMycmmlu7ojLSMtbNKUNy5VlVEp4pWwT21mNe+tiAu+858AVp6W19lv0RiHGtuUUzZQ/No9fvncH6Eg8Fy4wFHncO+mMO+lvf+tabQ6TQAfuRg5TeU02YXkNLqiXxHd6XRScjyFC4QufwG98VBCMD4vfK3vXhmtPOf+7nfu7iqLIF8C4a9RtO/WZDfuUrX7nIUbTE/iWrcsrQmmvoemVNdtI1m3LlY1vyXAMDtGosuuNf//VfL+v9p3/6p0uAXVKKncP5dq4I2aJc2pzBgC7Hd2DyV3/1V5fAg3WVUGHzkadl0n0vWHrK7/a1u76VIeCqT3PhPHYfPOMJ89HGa8XgyoF+4MMOLiiQTYE3cuLotYJdZEqBVm3b8uJ77bKF14bEc1V6FfwBY/Nmn+FnTiEZaFywbG+3vf5gyLajD/kYbHR0VaCWXs6GNK71JHfIV3qNzW+raoH05KP1JPvpLskgCSdyMLkGZ/pBVwIL6M+aqlauygS+y6QXdHWvbLTnwcG15Jmx20LhewfwJR9LDuTQm7c+rBE98FsEyZL5+sWTVZO2zoLZVT/RM1VjRUtkLzrUVrl7AQ3wv3PQr5rkT+1iDvpXv/rVG8aNaYokEjQpybI/lRFCfidV5rhBrLJFxKh8J4NjHfRmh5gIh1e96lU3TkPOuTbGMb4/DGq/EuRjjpzdjJDT0KxUfZX4lq/3fa/lbBU1N7ci/8Ytq8+wKcqEoTyHmTAMAZqwAy8KvP4STpWrl+XPOK7Uz3NlFmKCmHMzpOs41z7cJGyNIYtuLU4ELVt/GuTmVNAjpZNiLGCxRuRSWEaxawnj8KNfcKvcnqNBeffXqcX2WgU3ZxH4s+b2+6BVwo4io8DNlXBlUBdIIiTg02tW/J0OPKW72yGiKzQsix4t54TXtgoQuO6Pgtq+GBj+crZ7JppCP1tBoS04r4PvWkYqPO+hIo2bE4MG/V173/kZkDCGfjtILgc9HOWk6K/KGLi2n+/ZfEIxeGyVUVnoFDz8l9VB9znoGffxbDjLUQB/dEtmqkZK1qLdgmTG1rcglX6++7u/+2avZQ7gBvzQG/6wz1NGM4MiOdrcozHjGI8cM68UcSX00XKH/WRAbUbeunrfq/v4kJHmeu9FzTgpm+95c5VRAAdzfvTRRy/Gk98559psVrjMWoGIstMFTQqE5fjmhC9PlRHQNqfaXM2RYcdgbk9sfKwfz+UsWGdZYn2vHkovmXf9r5xcHdW86pfhlEMM3+RiGfUChYzNZBR6wJvkBB3lOrlILliPewWzBXX0AXau61fQ0zPtGS+gmDGYfDKnzj3gSGmHvgviuu8ZeAjXGfXkaBUfbAWGYfoJjCpzT+9Fs2R82zPAP2Mxpy1agEfrZWts1UK0SiZr0+vUqngouBWOGsPczHkzpQVVo4Myl/GFU5yfzTIy+cjxrIIo54HuRh/RWJVDeKvgobYd2JvdgU4+9alPXfS3rY2dZdBe2/Ru8hEtv/e9772MVbC+7DBcwr8xe9Va54ake9HbBtCShx3yVhYST7iWY1opeye/r/5P/vzQD/3QRX4bA5+Se8Yyl7KMvpu7/qxVf3hde878S17ykouc5YSj/V4NR6aiR/NpztZUcLdgbNUgZdBz4sxxHWfPmWs6wXoK6j3/+c9/4MUvfvHFVj+Doq01W67ybM8vjMuEVxm1snGDH9mQ4J7zCW7mhqeVXgtqVGXU4cT2yQsI+3v1q199oUdyqdcosi/JTfArUEc2ckrB2VjsKTD55V/+5UuQhsMpoIR2O7B6AzFgURbdyfx+m7c24G18tFjw1NzNm4yC0you4IijXxYejqqGqGqs6g/zKKu+uEiuaee6cfEGWyO7Mh1gjm2dsEbXPVdgd3EEN2Dvk56En06Zz7bMhqQf2ttv/j//8z9/q+XjfbEHnYMe857G/TJZxl6ORgwWYeTAus6whCgHzJRVz5jJWES0GAER7Z9+MEvGCKKlOEUSPYOYNgtdxEofW+a+fTbmCuLNXObgVtpuTmDBEduMMyWRM2Z+lBDGWgagWPylaIoIZ5QRemskNs+YJBysc57Q2ojtWRLo3jrV228whusMntZVSaz23cNwRQPrpyxCzkNR1oTQjlck0lr0ow1jSpROZDFYUN5gSrCKhhKYjHZw9dzuDav/IsXgKmpZdYf7xqFMyrgzKjtQ7hptVzovmviNb3zjMgS4oFVjF1zxHT4J43XEcrKjpaWp5t4YwTccrYOuX2uvHH0d7zKl9e13Dnowufau8wymzkEAZ8GRshrLv3gO3WZcUzDf933fd6uF6zcJjf9HPzJA3/72t1/oIlovy1CmFm7KzFU+nqGU3PPZKaztu9Q/OibPipLHX4w6xgSeMa525EaZQuMZI2cG3zgVXXScTOxQxHg5Bye6LLoe6JI3W669QSj3zaO5oMH2k1aFk1OdQcJ4RP8UunnkzHGqrJeRIJBLBrW/MRhb62YszNOarRcvl8VI1mRwnsZe605Gx38FOnJoGU/6ZtCYr/bmBGc5sNt3AT947Xp6xFzNqzmtkV/b4JmMzCiiX+APbWiLNxlGDLPKgQVhtKnMGx22Htf1xUAyN8ZthpR5cVg4BckBfG8O9RUdr1OKXuEMDZKDBaH0b9x0gWdzcsMX+JalXMfJM+jGJzhnRyQnW1NB9t077l6Od855doL+4Ibu3mx9pxmvrofbjNxeTSXjlp0Qf1fq2dY0tEzHkAt3Dvq3XUqxk19gVFAr+icPoqvKx8sWl0H0iRb1g8bIFlWTbBa2AfmbDkRHnodrrwEjRwQH4ym0ag45adrjb3tiqw4lW3PCq5IzX3zj76xqjCZKcmTjJT/dR8/mae4SDWxfOt16zAWvVIWpfefqmBu6LJhLBlmrrXrvfve7b7YrZY+gW3yVTNsqnvaCu6Y/a+ocn60edL8kEVjpS9vK/qsgMk/fHcJHZvz1X//1xQHNUWOP9Rqx8A0mZWsLFLpW0MD3zWa3Vcv15gIerhu7szDAUgKGDRl+ON4ddCbjLXPLgcfH5ljJdz6ANaAzayBb6cwNYOPnhx566BLoJlsEvSUuyrCvLW6ubXlUaWyb1J5J1Bkh+omuBQMK6LeNBx7o5XXQC04Yo6BHcrbtUuaN5rRB18r1wQIecrwLaqPb3iaDflRsGM99/alE0H/Vvubc21gqjYdn5zz4cz/56Df6Fvige9CEeajevc3y8b5x0CEgZl1bdzPMOTidbJkBldKKATGhv3XSCcw1XrTp5HbGR4Yg5BrHf98JEsrw7//+728yAwgcMenT/5NlxxMInWwcgWUM56wS2hhbpI3jjeAQG6YDH0ZpjnTOHHgUVdPPCnKZYU5ihkKwTaBey5avkNP+LIF2DRNhqoRpBl3MuJ/6kx2yrt6L3tzLmGC0qgIKcmQoFwU9Szf1EU3Uxu/2A3XPPAlTwtVZAzL6aOb/Z+9OV207yn+P51zB/zq8ARVBEeNfXxj7RFCMGBV7xYgttgix71vsG7CLBqOiXoD6Qt94L+cGzuEzNt+1fxnuDUn+elj7OBcs5pxj1Kh66unq6aoG+gVn5xvokxHI2djSXXOgEPxz5suiw6/xNjj0ute97kBzZfC+U9zmQ4mgRU5TRjjl+4c//OHKyM1J9yzFWbBA1JNCBltR1fMp3Z4pS11mz7Wy6PFAmf91ziudBWNOdzjquc2G1y6eqE3Oud8WKDy0GfTmH/9T2AXScn4uDvrNDLrXheSYpN+S4Qyi5IFuok/JEx4vi4j/cubQMKOGLFf+tjLNKKD3emVQGdbkMAewQIAFkbOLV41PZvBf1U342Fjgxg++g72MYwZdpXWez2jDE/ErWdMX/Wgs21Mq/TVHY5cpNb4+MgKMlTNWGR9jlD5on3UOVwb96khzyXHMOPV7M67JQHNNN5XJyrAo62Qcc6JzOjAODspYVB2Q8ZJOTicVdAjfjX8OSG9gwFzbclA/vSWCodW2sfgnmDP02leb89o6WGARP5kfXSVIbm7mgYcYp7Zu0bn0HjjwYkZrDlbwmo/78MFhSi9XvdDaBlZ9lTlPlzHySgDkjNUup6R5uK/fHDzXwc1YJg94q6ANvJmD3/FmMgmWDkpCn84QKchsLjmIBXiMWSVZ+HbNd2P4xydltMCp9Pc6G6Bry/07vhfAtMe8s3hai6PFZp1zqmQ1OyEbHtHHJ/qXwEA/fKzMm/ODP/VZgJFt1snt9GTVldYyPIm+9JAx0ZBN56A493oLC37I0cdb7evebHAHvsEfnd6WmdU7rtMZxsKnnDAypgxbWb0Agz7JBj29wSnz8WxbgHyHgyo+ZGbJcImOHMQ+q14pSArO+Nanv2RhA4zwDy8dzge2gl4Ffltb8LiKOoGQj370o4cMwHe2VzZfuGr9MYcCnMZu7QRTNn/rT3YnHNLDaNcea3KZzvMqPRWhqs8KWOOL+Em/HFXl2OAo0Fdb85XYqeLSFl82ac4oHLhmzpx945rf3/72t4NG2m2gAc/iJ3CjFVhdi0/hkA2WU14Cqtc+4mP8qz0caA9W9jo+wVvpN/jc7Hlbvzjb1lGBi/AKf2xl8y9Tn0z6BAfeoe+1KxidDrY2FNAhw/rl/6AjfLR+9glONKkKw1zuueeea60f7wgHXTlNDmYE2f13LYgdSlCWZB20DDLPESqE56BTViIzmJ6yzZnHgA71IPT+trS9TE6vN3Gfc+GU4vahZ6SWiV7Fs+XbYK6ESj+U8zmbUQTMfQfiYcaXv/zlB1wYEtMLDhCYyg3PDmnvU8SsGSyUlSqC9qFXrt9CWeYkB6zoZTQoo5IxXaTM8znmvgeLcVOoGxEs6kaxUSDoo50FtUBIWfSzk76R1TXYdrEv6puzl+PttzmldMzT4qRUKqN7I3AW9pQhBV2GbAMi8RxFgB/Ms4qFFiZ7p/2tg14W3XX9tlCU7TEH+4jwivFSptq3Xxj+OSWUuefNrex4hnOLZFH48LQl7q71O+e8rHi8SQF2iMdm0HNwPJfSRvf2jxcU6WRb/bRXHi+3qK6DXnlSpXsXB/0md59PKXYnp3UPU0lHti+sckHXfW8Rq2wP39O5+Ah9fWoL9367b+F2wAxZYBQkt/rIYcj4AZesKINCWwaDvvRTQCpZy/FtlpXtVsYGlviwBR0ftUjLONAF9ugZq1dyKg9naDCAOvnVXHzXvoOf0hP0WgaCABqDAcyuZXymI8vU5kSlW9qjnvNdRpZs9h0MOYtle/XnerggA/S10sjvf//7V4dbpSPhuX2QrWHgz5FszdmgQbrGZwZvcy+47ROs6XhrpL7QHTw53ukLtMzZZODhwUo9k+nawg3d2GuawiEdKzhO1/nXroOJtiKkYEjzpEfoJHiFi3CX/i8L7551ste8lekv4ANH8Imn0CB+1x/agycHA746kZkstn2jTCTbAjz4Ba46x0Q/7b2tIoR+ywkwp3X4CkaDqe0YGyTwvQz/BrCv+3t+d53+d3xPPypF7/DcAjc5a2sP9HouvFKFGnrnmFf5Q8asodYx/Gq9Zx9Yx3Pa8MDrX//6owQcbXvdWtUOeMK6mG0r88eOswXTWhifZbsWAD3rR3CAIRtpt/1kq7EL8Dxe/PSnP33gwps/2LCcWqXusvd0NKddHxvwpFv1kYxUUUUvSfD8+Mc/Pg43q8oDjMaudL6qIrhuq5D59H5v18h69o5xeiuDZ+Lp7HD9we9WPaD17373u+OQtjKv7DlzAVdOuTGrRABD9Pc9W7XAwVZsbvXrrpllks3VOPAHl/gA7XK8C/RYS9hHcF2Axr0SXdmxnHg2H/7AV+lHOtjrE82XfpGhp1d8x4MldarwLSCN9raRwmEBSdfMZf0rJflOka9yyb3mCwdtFetcq/QQmpgDPwJ+4dI186SXXcdrxkQT/CT7X7UTXuLroA/4VNoZq4QoX6UEo0++FvrTucEPdmNXQRG/Gq+ALxjxhzHuvvvui4P+ZBVvypWDXlbj3FcGf46g35jIJ6ZNCbd4tQeo09fLzPndycaiNQT7/vvvvzq5fU+lJpAxf4t/5WvK3DHglnhQNDm/ZdIzVqoKKKudkHYdUxEOZdEUob3IXilBcWDChQPDlz0glFs5QAEypHPQCR/D1eEg5k0ZlPVfHGcodm2zpRlt7m2pacbLZmRa7HIa6m/LBpX9+FMy5q89qBmSOZeNlSOyTvQ66euYbyY9Y9Vn0bTopezLGwLip3MgwYJqLuFZu7Ir61TiIYu3SGgR+7Lcz3ve847+40HftfPXgXrL10WmKah95dqWuhcxtLBTcu2nXEecPCydKovNaF8nvewcmG53yno8a1Eq2xNdPd/p2OQlJx2/GsczSysw56AX/daX5+ACL8NjUWjjXQ6Je+xr1jJaMir6LKCRnPoNxz7LMJQV3vI4OMZHeCYngqwZh77wKVNQ5qHsBn4iW2Q9mPThmsyNICNat1DSyeCg743vumeDqQUdvHQhvtcX/iWfjEy88axnPeswUhg173znOw8Dw328U3YRL4O3jBK9XBDQeB2kqI0+GZ0d0IhnwZkhknHod45s1UV+lxkoM7wBzIISGdDRBO6CtyBHTrO1rPMxGCfJef0XtGvLQLBkQBU0SN7rd/V0Tqh7BaLNL2cBThn68LjZrAxybRmQDO3ok3HXJzjdj8bW1qo3wEpHWAvwQ0a79r0FwH36JYelbB994xkGa07A6mbzNg9wpav1FR+iSdtECpSsI1CFXVnzMtf4t2BEgV34C6/xb8Fp98JF2fyqLlrvW7/L6Jelar9ztC3wD850e7xoPpywSwb9v45zJNJjm6VDC/LWtTJ+HFLX2Uic37V74NU91wvqsQvoIf9oolKIvWWLAZ2HV5X0loXPOS3gU4k0u/O9733v4by0DQftyVsBG7DhEzJQxr41uCAQGSMD+FsgVfu3ve1tR7m0/pwA3lteyJ/2fpO75tShn3jVM8blbOF7+kqwVRCU00c3tS8druJF/eZUwUvVOJ7PSc5hziFHk83Qa0enkYmc3HRvNisY6esXv/jFB07ApH3vmdeHtsbQrox9dC0YWtVBdkwVnH5vJr3Ats8CyPBC9wkQqE4wL7qlLTTaGk/FBX2Btwqste3HZ2sgfYc2qjPg37MF0N/ylrccPKjygT7zLziBdpx5/WRDmhNegg/rhoTcrqHm5n4B+TLo+qI7BFBLroE7vV6wxfzyE9Bd3/jO93wxjnPB7NaV+Eg7vN1ho+lH/Vhr4LckgeAG+qFrb0FAe33Dp3HQv+CAuRfIzW8jK+YD7gceeOBa68c7LoNe5jwBagHud58xRg5WURjERTDMjfn9Rugylp12TFEiXpmNnKwVZN9zqDAFhsb8GX0xcrAE65bqt9jnCMVMBJexqU+CQ8nbh6xMRGlvJziCk9JVQiKT3v7AFAoFgcnhDQMTdHPBuJUZp4Qocq+1SalkYJTRLbqYg7vlp+foX85xbXsWXLWFu3VEKabXvva1h3I1f3BWThVdy0ZkaJ3pHsybNSnr0FgUHby3bSAaU9qcZ3jMAKqtcVpUwLUHcaQQgkU7cxM1bI85XIHDmBR42Wc0TqHlsOfYFHzJQadYODddxxsZh/rOGa/MvQx6+7syGvGY9rcqbw9vOSH1GY4W3zno5KA96Rn/G8RqX3lvG9C2bR/oVQbds2Xedxz4gC9ldODLkavMa+d35of/339vBr0If4ZEDnoZI7hIHn3XPsc7hwXd0KYKGPjWDxoUmGKY4SHXvfucUaIfsCTnxsxpKzjpGsecTGwE37MZz+vQVwIOthxETqnrGTuCYGD1HL63gAse2BvJ0GA0Ot+CkeM3wzdjiHxUgkz2rQcMEGOZr3bmSV8Zr7eD6LP313bPXMFVNsBvz+LN5lHG3HwKEpRNq9TeM77Xb7T0jDXL/2te85q7fvGLX1yVnLZ/PgM42uV8dp1OLaNQ8Ks5Vv66AUlzLmNofDiBG/oRvhn0VYj5nZNDjtPdZZCM17z1m/51X1t6LGcVHzm1Hp7NBX+V/WpfKz4tQFwFQtu8OEIFL8GP/3LK4bsycN+rDCmT1PoO7+25BGtB4Byq1pkckNbtPs03XVglBnw1d3jD92hkTOu4PttKEo9XFZFhXuIhXJtfgVdGLv53zxz15zCzi4N+w0FvLVubDZ2qoDjrR+3xe7KZUc/xSidZyyobh3dyJECIzjKADulrb7e26eINTnOokg/Z1+9973tXlRvZLslnWxzwpnlke3RCOQcaT8Ufyp7pB3qTrubECayxF5X3qiywrc/rumQT2Za9/YOuwI9kB1wCEmQfb/X6Wd+THbpVEkEVJHsVXvBvgcbksIx1VSZl0fFxmdfsU2ObS8GzKnbMSb9tTW2NIjf2oLMj4YxN1XaFsuKu+yOP6ZUCZOug03fZuNYWcKaPyXZVMOyykkf4QmIPnjpzQNsc4qpX0VyfOb7mWGl4QQeyzu5Bw7bPmDe82fePdniXXyCLbG2gAwrywmcBI/xSULQ3FoCVHasNuwsurH/olJOeXnavZBpdhKfzJ6pgqry9Q+LgB/6qkCqQHR2M39oPZrzTmmMs86+sn11uHAGGgk76wdee7UwWvAX21kAwpEMlt/C/vuEfTvg711k/3jEO+mbQM0Tbu5OxnzFOMDaC5HrMRbHknLtOaRJyf4QgR12EUfakSCDBxTCYAnOWCW8fOvgoKALFSfec9r1eoAjQ2cHJWc3YyFCuFJXhyKjFRISoUg2MbFGXLbA3GaMySgkSBiY8ZZssFL36qswmOFNUYMpoqeSkUn3jbCY6xe+ZlFLOrGuEMMdgyz1zaCvB11awwR84E1qLhgWOAEVnbXKmy3qHxxxofeyip31BFfC4Zx4ZTRmI+imiJ/omI1gpnM+ifEV+8VH97h70Fvr4TMkbR8QC0Vx6vZRxtuzd/d37hL/go0WguZoDQyMDwxyj4TroFBTeBScc5jRZXOLHHLT6Rrf2LZVJx2+bXa9tPKs/Tndz32BLeCVv2ln4z/JWf/ioiCc+9hctOeX4O4fOogMu922JuM7KdWX93/V9HXQ4ycFqfxncFxjsGhnCQ+mo+CznoYh/mW101U8ZGbJmUS97ngOeE7EGQoHR5FOwpoodes11C2hlxDlMZUhawHNyjWWeBXbM3/NlSvSpLZ1ON5cFopPJK2fdvMkloybDlqzjLWsAXmQ8yWB00nNGov7pTrqeM5SOKCOeM9xnODY/+N3S6KL7ZYPJqvl3Ai269ZqyHH4ybduVfaOdm+Gefskl3W+csvUbaEz/lXU1XrQr4JHDXcYp2Ko8K2AMt57dfYzpafAU/M04KiNdQMJz1mHwFqAsiIkm1izZoTLD7TfUFqzxNV7zH17pWI69+VeJ43sObw67dbI1MeO8zCg+iB+Nl04/j2ueZZ1awzynvwLJ4MLv+tFv2e34QVv34YEDZQxzhb+CNGXeta2c1pyNzT6w1qiEa4uHceJLrxf7T9aR6Ufr5jri66zjMbRvbUQDgb+y6dkYVWx0WKl1G659ssPwOnkll3jYK5w4qgWyyXPrPP2ZMwRG/Ol5lZIcsh/+8IeHY0nOyrSivbbpxoKCeKCScw5NVSB0V9uJbHsDp33PdL8KP3BZl1UI/eAHPzhkTTk+uTAfz4CzSik6T1tyyvbk3FQdABZt2R4cQJ/WbbCT+d3nrW02F9jdIxfZjVUGZBvCC9zriw7rFaHwKWFBTvRHTuDnYx/72PFOdLZJp3p7Hn0Lku2e99a/AqzZonik4Ik24ErvkMUcdO3R3L/Ah60K6TT2bkE9z8Cd9tl/5tTaYg7umwf9YZ1RWUlP4ivwC5SYo2oxjrm+wWUtgsP0Dp2iX/dbC8zBeHCDD8EIt2yuKsrwDHrgE/oIn2hXJQ++LjgdTsHtHxxrc/qNVgWdy7LDA/ynTyVFs2XBkZ5z35zAgG7ObjIn+q6tQ/FSQVBw4kmf6Gd+zoH65Cc/ediN2pVpJ7teMXid9eMd5aBnuGO6Ingt9GXRME2lc0VhchzO5e2MMczPWCN4BKwDhuzxlqWu/NEnJiyTU3TNePVPsWEACkq/rhfhzChao9iYBR4InOd///vfH4qbcqzk3jMUrU8GLrgxXsYRobVvqfJhbQkAI5OjBg7Gdae7uy8aioFz8AgJYWKUUsJlkczvnDlfJ73oWVn4Mg0ZlGuQoZ/IIgGhoAQBzCOHVx/tlVIVUBSsLIX78Nj1ddJTEGdHKMeg8pnN5BdQIMy9Ax3Nw2sOOMVSBgveuu95OD5XdbjeHvT2XlO8eJRy3U9tXTO3yv/DnTmVPS8rpV/0cS/jEQzabTm7BdIfmncypjYFVaJLjrHFekvc0cWYPus3x1y/aNIWChnVgjg59NpYUCh0zlIl7K5TuJ2SHb06CMZvfVlcyZHnzA8tzEX/8AdXFwf9Zol77/lNXtGXXkNT+KIbFseVpWnfApuhEw3a96uv9vTBfyXldJE27eX1XMaGdsboYDXf/ZMzC7yMdvdyrtId+LrMfXvqzEVAwPOcEc618dvziY99NwdGEgPT9wwWbas+Icva4m36D4/p37j6dx++BG/JTgYOg4nRwsDNAMow0CanvCxshp5+3SsAlnEKX+0npqfK7Jsb2SEj5L1Xk4EL7ulPetJWoM4WSS9aU8oulzHPSa9Eu7Uoemmv7818TWLb8gAAIABJREFU9Ow6kmXTySOd5X+rAvBJDin444WCJ80bT5YZNMf0HL2qP7itFLXDLlt3y0AVONj1qeCwtntwKj3VPkptzBPs9Fpr8FaNadMZBWVPq3QrIGCMqg/MMyepIFUGPLqaV69HKtAYb8ATXsN/5BTt9Yd/K8X1W3+tOzlg5iEjhD/8x8/Jtjk89NBD19oA/XcFLus3B/2RRx65kuP4zDqEhtaVAnY9t5lhMprs4hf/7Bf0au1jU5Vht+aj+9vf/vbDkXIPrdwvwVOVg7GtpeCk89hrZLttjAV80LwAQU5tOp5tYQyVNRxnr3TTjxOqOyATb0iIkAPl14JYHSZrfBUrX/7ylw/ZgxNVSJ3d4bwJ8yXH+iUDAhgSEJwh/YDzj3/841Fizq6TrSwYkR2R3kmm0gd0gXtw1LkPBSHwMJ3gGfPWp0QUW9XcbPlkU+Z4g9OBw2D2WjNykeOfPQKP8LDBVDDCf/ZsfFCCCgzWDPC1NVCb7E7PJ7sCqDntcFPALv0J7rYN4hPrFfqFD7rGXDndklVszuy7zj1AGzql11PmK1RdmJ9RFZd5mBt8oq0tGH7jYXjHN+YA3gKn9ovDN30P3nyeqjeqnMCbvrf1qORYSTn4EijxvPFaWwrcgAM/VtlJh8brnoN3uEBLNgDewF9kD0+mH/NvWos9g6fhXWDe82QLnsFBh5Ozi4P+JLXw7kHHFP6LLBft2uyuYSD9nMkj3DlRLYY+KWGRGH8xuGuIaS8yBkU8TJrweK79YJ7LuQQbR9kfJWEvelEqimFhqryN4GKe++6778oJonA42w4Dwnz6b4yNZNUfuAgzQQUbISs6SnmCax3zHPXeAU+pmCdmbz4WK0ao7GXlrgQ8QSgSts55hvCtSiQjf4K8WXTCB/cpO5+y6L/+9a8PxZYRuVkfwpvyN66/dbwJen9lYjdLX/t19HPQKQB9whtc1X9OSw53/e/rxOAePbSxgAl2bKQ0R7zFXh85JWV5yjjWf0ow/rMQcVDMq+ADJ6JACwXkr0w03thATNFJCiqnfMvX68d45lN/+iwjVUagcq/2l5fJ0ha/tCDWrj72/enu1Z/75ieD0IntsghlzeEC71XOdnHQbzro73vf+672fFXhQ0/BGfxuVsL1ZKTgU0G3SpXxIR7LkGTglYHlVKEJHsMTOVn1ZTxtyZA+LPjxecEkNKTn9JuhsAEq7Tt3AKwyPfgLfF4Vg0e8AtMYZRzxdrwMBrpIP76Dl1GjT2OST+ORHTyYEchQoi/xnUMec4wYMHRkB3uRD3PkSDFAyNhuEwBrGY2c82AL9zm/lVAnB2XzwF6l1q534GYIK3F0P4Mkw6csTU5tAYbgK3OfbnUdncvullEuYAeett3o05phXTTeubTd7z3sDNz4hM7TD37QpkxJa2sGLt6Ndune8JTRGV0LBpbZAg/a6r+DmMrcl43ucC+f2qWb9F2w3DP+4RGcVZYUyMJz7rsH1t5iUGKg0s3Wg4I44SWnK0cBLuMJn9rDmbVDX66hj/WqIJq1xRyq9gBjJfllrMxNtuw6G6BP0jR83I9lQ7In4AdeOTbktfMN8PQG3dlbVews7V2LZ9CmhA+HC11cQ1N6QiCPg8yWZGOm29BT/2jSKdl0TtnVXllpHfzwhz980J+jw2aqKqUAvj78+/2Rj3zk6I98feELX7jrr3/965E1ZJ+wR8w5XYYvs5NdMy9rckkhMsQ+ZE/mEPUubXKluoXNKMtvvmwETj+9XPKhM528f55s0RmtJ2WI08s55541l3Clb7AW4MwWRfwOA3NPML/tAyXUBKYefPDBK5sl+9JY8EQG0d8Y7X3PHgwn2THgB9f6AQVE2UvmY1w2JH5xwFrOPj5Lj7nnOaXcJTvMlYOuvX7wlzmbE9vYdh1zc027DrJGs5KSVW/lbGdTtaZHkzL06CoRiOerlsNfbaPAB+l597VDP/NDg51vTnlrjDG0zecyX/35XV/ZuuZEh+VHwIuxWofgn4POFoz33YNTgSKBhgLLrbVoSHasjeQOzwnooDE+DSfghCeH7V1n/XhHZNBF6sq0YqKikLfbe7qvncD4KVIEpzhyztt77hrCxfyMwTe96U3HIlAJe4tzmc4cwg6PY9SBzT+BEdmW6cRAFEJl+GWGtMGMFFsZyoyFDvWgFPVLoZv//oG5bCzBwez6dK1DEBikxpY9An+Ofs49BpZpNY77jM32EoMXQysPMZb+i0SCI2VWVrty9AzxlKv5r/NMGM8O+h6MBt8CC66hY1E1YzYWWm2ks9LRc3Y8o6csS8GcDZb0OhO8ROn32ijj5aCXdY4/KJIOIDm/7xvcFETl7eEcLdCmA5QKphgHbVNa7UnKIc8IrazXc4I4lYYGp0+LZqVyFBL4m9/iJke3a9FMHxaIDHNj9+qznPN4EJzLrzksOYPxRxkq95WsVma071OHIzhjdMJfJ+UXeIr34Tz5uWTQb1AiA1QkuMh1GYn0A3kpwFZmwqJUWXPBr+SkrG5ZcHxC9srE9zoZhymW6QOL9vrPKS6DLQBHFsuYtx2DfkTvgmF4xzM5qp5jKKhq8XwVGwxWOs5vQSD99UYNczEv//rWpuqVjIRkLN3iGTrJ7/BSoFGwk5FQ+WvrB1ybq1JAwQLttSmLDAc5zmTAb/P0Wfa0LAHcFXCD5xxNfZbNzSB0z1wZyWBFK3g3Nhnzu/6rsIm+7lc5kxznLG7GV5t05Gau4Kc9m56ngwqAFuDIoWVcVn0Atioocl49h4ZlS9CLTkAvdMtYzLBGw7bhFIhoXpVC6lM7fPaPf/zjqsqs4AJ5sKb1Noiq28Bu3IKXGcrxERwV4NUmeQKH6/RTcuUZ7ZOD1n00A1+wkim4yBmo5JOOLKuarZMTVrBM/1UAmG8lwPgMzbUvKCSDdJ0N0MftaT/JhulHayb5o7sECeHQWlzWM/rllGkX/QuaF9RhI+Ep+Ob84gPX0IHtJvjnVHSvTHO97Lq+0cWzZAd98TQnDDzsHtfAh65f//rX7/r73/9+9ItvPUeW6ESwgd+nAzELJmmDl1REui+7zMbr4MTm5zn2H31GTgvEJ3+9JpaeARNdT2+S6wLk5sIpF1QwDjzQ6QIUOWwy8zLZnSORvGvbOmX99zvdkvyUJKDfCp5lw4GLbJEpOO81mmCEc/CiYXuY6XBjGKv+y9Yn0wXl0itwZbwClmDIninhBwZ0047sCcigkTVKG3Mi62gYv9CFAijZ3s4NKIBZhRr+ECTBv2CGc44uusAvvqXH0jPsVjygbc5+axgc+Q5+MqAv5wSYVzZVhyLiW4Gm1ky8gR8r7c8PSh+js2vwHixVZbbWdO4L/FRhVGVCDrrqjgJPeLiELBqYp/mBF074M+7jATTFx+EJ/9G1cCTI7jl4Tj52WxucX/cKozvKQU9HI+A6HEUDU161Q7SihR2slYFFeDuUq6wo5nZNRtse9JzCjKYyU+1bzIjxmYPuHoZuL7pny2AHA0YDv/c1ut8eJAqjjLlPESJZeVFMc+x5wl5JZtHGLUWmsOxPEXHDkITI/RYF8BA4vwkXwTUH3xuj/RuMCAed5JyXBdrM8q6d68QTuIQ0h61MdfuxCdeWSGeEc3wZK/tXBr8AwWaizxn0zTBvH+CAs5S7efhfB70Mes5vUTeGI3iNC2cciE5kL8gAfvctXMapRDcnP4dd3+Fwje+cE33knOfEZ+T2urX2F222v0AJpYgWaL370DOo4SvjsexoOIzGm0Evs764bC74zffNXuoLrskknMXb0ayD44yB/gJB7Yd1rSBOwQvjmgf48e7FQf9nBz1+wq9lhTPI/M7ByonCHxn1GSVl3OE5vYd2Gfn0EOOPbpFVpkfLkLfHUvsi3mjpn14pQ8JYo9O0UcJNljhn4HMNLPqkSx32Q9cxel0rmJhRQEfSFWCxMOdgM5DaI63Ptv9kMOFXOrKtIAUgzA/PdkBUeMsBhc+MkQ7VodNkk/CsOWaEkAFz2QDIfs9gz2kLf2VX2kfc6dD6Jetlrxkg1q7zlp8czYJ+BQoKHrhP9quEWj3jXll7bdJ9Oaht+8lAXf6pSqPyYOMKugmw4Dl0zDFNL5BvuDe3dfLTJeHS+OaZgQhm18pKoYm+CrrI9K0ezwEzp/jRXKx7jRXeokeZfv20bmTslukDOzoZXzvjR+PK4qvycC8ZqJpAf+AgR9bEdJv+2RFgqXxeRZvfxgGbcVsvq8prvcXvYOPkXRz0/zqC2q2NBTrKmhfMw9McuRwi163xOWZta6C/4JbTSzbRFJ/rj0PoGYkX+1u1pcfSub5bk9Gbc5ET6jpHT190ogpOQSaVmPiIE4fGOZz4xL+tQhxS4/eKr2xIv+0DtydaNp9z3YnteM26TYd1LpPvdAoZZb8+/PDDx8FxnckDbm21YZfq3/zJEJ0Pnk0EsUFykuytNyYcVSJe4D15SVfm6GVrgCf5NhY9qw9ZVDTilEmI+OuwT305kV7wdG3VkjkFCNht7UcvU19wy3PnCt0CCSXBNpnh+bZhaYdv0N364K+SbmtWsJJpWyGMw07SX7pEFpiu6gwL+EqPZscV9PU8PeJZ/+m49AHeAUc87LV4rXnw2/kfntOndngOPdHNXFovtC8b3/YhvFN1s3sbTGUrgEn1Skkz829u+oYTvGQO6G/8go9kUqAKz7VdBG0kUn12DsdXvvKVq/m5jj9KWJXALElgLLj0ysHrrB/vCAfd/gRMk8ETY1XKtU5h2cCcdoxpsfJ7HXKMRUFVHomQGaRObxcVTLArbcl5xVxl1jvso+x5UTfMocTIfQyI8cCCiQmaEkVM3aFunqNk/YGlPeBl6ClK8FAoHcylz8YNVgsCBa0dw9UeKHATTsrANd85RTlk65yDuzEJCKVDcYi4Zahk0BV5XDwRzEopCVpKZQ+JgzuGceXfvQO8hRO+wGiehD365qC30MJV2SLfzSeFijdSYu6ds+looW/w7eFtlEFGl+d6X7PvcGofq3HgOB4pi172POfcM3Cfc65fcLQotwCFL78LHGjnemXFLWaeVTbW4SXmCFfxQn2KtubY9wogvJJyrcwMLd3fYNOt9p+Tv4XTd7DCQ6ezN3YLk9/4p9L+DFXtRdztE+NgOLU2Ywk8VcaAg1KvCgPs6O2+cS+vWbuZQfe+Y7heHWkxsjCS07Ll0Qie0Rw+8VDZVbSq7Ft/Od/66Bn0Y/wYi/7MsCoqXgQ93tUGLOhYVh4c3nXtNHLtjZmzVvaGsVMwrIM/GbY5sGXqyQKd+YxnPOOq5K19e8mGcctetw6YK5ng3ONDsm7/JAOQPKmUIbtbZkx3aV9ZPxzhUXh2EB0j27NlUsvWxLvghG/whDfz2a1b+Fv/9ArjDIzG1Zfx4MKnuYG76po1dN1vvptxbi4ZW1v2XsYlXigjrw2Y0BGdyCr4zKmsHjrRy+YFh4x56whcuVcGpCoolQn63L3bxq+qoCx12asc8XR+znCGVxki9zn/vSUDT3VP2wxHfA2/4M8grlLNWPQjWMNPNCh4BL+tKQWDF5fg2ABsAVw4039O31bWga8Mj/WZgy4jh94q8jg88aPPnPPK3pPxqvOMyQa5zgZo+ujf9VkG/Ve/+tXBnzk0rgv2kceCNtkZaFzpLB5oHUdvTjn5ljzwGx+jDxxna+IprzR76lOf+pitHPrVLnnFb66V7cO35IHeRMNXvepVd73gBS+4CkwWwKF/wSdzjvau04H6tS0nx5INaZ6yk+bBEdSebhScJAvsMHKAvwvgsUM9px17ULJK0IAsc9rt8abnHFSZrQCP5sLe/e///u9Dd9IfcAXPbMi3vvWtR9aTbijQFe714/mCe61jcE/n6Ndz5qEPsMGvQBw9gi691qxqAfBy7MhVc8tBh+v04lYRkWt4K2m1MhwvpIerIjQ+PIKdTcORRI/g9Zustp5+//vfv8KJs678cWL9WZvMw6GG4IaX3gte8A7O4tH0Y454ti4+r3LIfLRr2yM5cChgjj9da80rMI3/jCWoUvCUXkIDn9nZ4Qmc7Ga2bjyuL9+z5QtOtu6BExz5RPS1MfEkGnme/oqH4EBb46CvPejs73vvvffgAVuCVcCmH3vbSxW75uhesmE9Mn8ycZ314x3joGMMSmOdyhY7jFhkaJ03zI7ACLHOeaXtjBt9updC1ieicYgxC+LlwJZ59VmGCFO2B7gso0/XCJmTLvVNOMsiWnRl6TdjXTayCCkGbsGoXFIfBMYnZqaoKUKRLhlJirYyav0QOkLmj4JQShWMZVjNrQOPKo0rIhoujec0SUZCThfYcph9nh3znHftzdO4FKu/HGLfKe6U7GaX0Rtc5rOGf2OGixSoNues+ZayZwCU2a3ywAJCwa6jTnjLvhRY6LVpFAVF5a8IXorbNZFcPFHwgUIKxvNe+4y4ni/wkWPufo559+By34fufhl0baIv4w5NNoNeyesaj5W0nw0k/VTe7l795pjXHs06v6AKDbhFfwtYZWS9v70gVwZS1StgNzd/HQhXVLdFx2dVA/j/4qA/1kHHt2T4rCNzYsqqV+aWzmvR2ixFRr5nyBaa5qTJZnOGW0TThRk/OcPpZDTHpzno+soxZijSAfgUf4KF0StwaQGmm82p7DKe8DujK0cznssBtTAzChhK5IXuERSiE/EsmDtMUzCLfIOXjgSr+fcWA/rXmK0HdFC8DWY8qV+6gfwzDsCZA57j2f7CZCcDsZJ7/XgWLJX6e6YtILJRBT3ISmWOVaVkTIEvp7RDlowJHmMYL2dyMxq1cc/4ns15LatsvuDLQdUWvgry0HHadlYLw7PtCdriPfyDzmimH9dbPzLQ0/Ngxs9tEyjounpIH1UeaZ/Tbxzfy5DHQ/oDX5m87pt/DvwGSvFaPK3/gqxg0Yex0SVHWdscD/15Bh9XqURu4tfWWn1Vll9wGYzWdOsNvJE//VZN0DYvY1SG7X5rIZxd9wzRed35V/9eB51TyfYrGIy/fYd77cgvHKNPNGdjuS8gRV/AeXue4Zmjrh/rPZ1WKbcTp2Wt0cC9AqXZHZ7phHT9cjwKspcl5ux98YtfPJxi+hEv0w8cbllx25rw1b7HnCyAifzg9xzTdHHZUbDiL0kbB/Kyd/2zTcGbbUlnvvrVrz70H3glKOhF8+GoV2nFacKHbZGsGgE+taG7lHWr6DDPtgyhd4HBAsyugT97wP2SJrYU0RHs1+QEPsyjKqp0h9/Wll6Dlsyny8CB5nt4anopm61KoeVL98CvXzBYd82TXskG7/A2Mt9bZ4wl2YjX6CZ0fuUrX3m1HSu964wh/aYn9YtueBJdCl6En/aeW0/SZelMcFtLS/iU2Zex5pugDV6gx8ypTLd5dxp6GXRtK9Uvg442xiwgXBWS63ygDukzfocJgg090cGz8MEOIFtoWxULWAukoqlDg+FBm2RSEJ9zX0l+a6m1kQ1sLPMvmFLwWT/6vpzi/j/QuClXDhxCpkhzzMueYvQi0StQfac0K21HFBFCvz3HGKx8jwAQJocPic5leGI6itZf+9c9qy/ET7GUzcZ8rlNq3/nOdw7F1n4jTOu9k/7az+ITPEUgO3W7fS0Z3J7BdGXl64PBpG0lIcaiMP11KqjvhDuHb53kHJ8WD7/1R2hy9MBgLhRwtKj8McOGgokmOfCupTAZwsat5Mdz5u30T9fCg+uUZpHqc5mR+5V1bvXEmdXwy60y6jnuRX+37D7FpK9Ku+C7yGalMZ6hHPpzH1+1laCAUIoMT4RffEHJ53Tr4+z4em5Ls9CUIrZ4cjg69TI6WsDNSz9oZkGEz7ZXtD+2RS0nLfhz1HPSwGYRpDTXgL2Vg16lQ0aqPqsw8T3D1Hd8ZKFur1tGknvho4AJhW7eORFlIeHl4qDfoFw60ntRW/Dirxzm9nbRkWWpM+K7Fo7pIHqk6HXZ0mQejS2QDDnX0F5fOcY5atqVhSzI1WKuT3oUn5JzhgLatvUGD+qfrulgrXQwuTe/DqwpS5BTZMwc1xxH18htEX/zM5bgUH2Bg8x1unuGV5UD+s+waOsOONOR5iSLktFTFn2zNBn9ZbrRLyfe2GDpTQUFVaoWECAVhIVrhl7VSXRUQa7NOukXrjY71FiNu3pnM+uuFzSs5DLn0zzhiGzCZ+sJeaxsO2eRHDPyypqbH1itseZB9sNpznJ6r4qCxdEG8bpOF3imDH4OM77opO22vpkDGLRFb//4Qh/xRttDChpkcFaZ53qZHvNE56q8zN/3dGQZ+/a+Gkd/OYjpSO3xLFwHVwe0ahO85qyv9LzfZYXA7158Qw49+5nPfOZaZ4jOa/a/+nf60etj0RYPtF88OlVSS+bZbZW4u59Tx4aki8oSKqt2Dc3IZvZO/OvwKYdTsV3dK2iFLvro9aP0rLW69Rc/WdONxcH0x4kgK/QLHYp/3vGOdxw2SQfe4UlZZfLEsZO1LTBGJszbs/4FzTjxHSoHR/S4T+OTbWOZF1jZwuxIc6PvcrQkhvBzlRvJV8EBPCm4QJfjazDJ+leJU/Aqvva7Nd617MtsPLIrMNyBZVUB6o/jbysNWeGUe8YaQf/IopPNTd6B21yzV9ON6eY+szWqeMkmq2Ig555Oc4/NBLdsQ/JnjfPX65zhBN/ANUf0+c9//tU+dzSwxxrM+qdn0zdVtRVoodtaY4I9XZ0MoXUH4NEZ8OEfn3BqrVVglnnWL2e6d7ejFf7rpHjwpKPwBDqxzQqkwGPJryrTXLNm4Xn30KBk4zro6No70LXJ7iaH4EJLeE13uq9En0zAJRnKp9BWH3BTdYn2YDa2NTFfSd/vete7rrV+vGMy6BRnTLCZdMy4Dlx7F3KQCG8nkmtbebisHwKX0Yt5ZFp6fyWmqtzbs+eM90b8yjBilEp6KTIRx8qO9KHkvP23CdLuOwcr5soB1cZvglrWo4wJBtQenCkQSoHwibBy0ilWyhZMZR/gsezFBjSKxCdohCYl7prInjJOhpf/DC+KLwOmLHZKNwMC7igAWbEEUBsGEvxYyOCug0/c8/u8D30XcDjKCcn581nApVKcAhwpsOWXzaB7tgBCZel95oCHtwxTz5QhjJfiveiUki/gs4ZmJT8talvyCM7wlwKimOHECdj9VcHRb3hGc0qVgrZIFBwoEoseaNgCZZyNvuLnfb3aZqGKeBeVXAd9F4f2ssJHFQVw1OFdtQ2mflfibg54PtjgI7zjM68zuc7lSf9qY/NW/WWA0lnRk1yUiczQyZghL/iybQL0hoUPfXuvLzzTXRbrsg05Qh3cpjIHf/nXrgzotgdbGVJjlr0lc+AzDmNRkLTT0+lrhksRbvDndOTw4yFOV9nzjNbKo/F21QJ4sPLCdKR7MuUOEqIr2/ZTRgs+9KldJY8Zi81Bv/71Q/7AKGtCFpSD4l3zNDa4M5DNpz4ap8oC49dPTqfnXKvai1FMfjzjefqKnt8g7jri6Fapexl0MJTRq9S0/lZHFuCEg3SW9QJt/O9ewWiEPwoOtJ7ApefQLD7sTICc+vRs98tYp2tczxnwudnkDP01Rs0xJ6SMs3boga7gRze4NI+q26oYyBGuEgMcJQZ8LxOjzwxW/XhuHXTXzAW/R6N15sBBDuhncIGjzFFjeF478yZHcKlfc7EuFJjzGc961njX/TVC/24dmX50intBPXyymfT42NriO1ple1QxAq/sHzKPr/Cyszhcj5ezh9BBMiNHln4jS8kYmMo2o3fl1GUw6Q7w6ZfT+fOf//x43ZZ1HGy2R3IAC6oaLzuXDqHH6dANevW+7TLq+iFDdFRv5UgG6HPjveENbzhe5cgp5mR33kV6SzvPdFgZWlZ547r56Md8yi7bamBfPb1f1ZF5aEuuKkWuwsQ1NDAXdoRn7O9vKwC9AZ/22qOH0/PRJ1xzMu1Dz/aN33LAs9sLZGZ3t6XIuNl8nmkNIYNVEaEzeKps5WBbU8AGR82NDSTwVgWZsQvq0ZtVd8FVW5fIeIk3NKtCLr0Nd/RDvICvylZXWdy5KAJBdAsH3f+jjz56lQARYKiyx3P8IDwWb/QqO/BW/YDfzZ3+0m/bkNEM/quEJCNkC2xnBx3e9bkOevoxZ92cwSvwZC5VrOTTaA8On2AxnnY+8S1cBZu+2LWVzqtkvs425B3noLcA5nCUCSJ4hKbsaI475w9jIyoBx/iVDObItfh6lvPs9RaEh6AUcddfe9TKot7KQc+hqlwbY1DWxpcdcajYZq8pNwJ2u9J289sSHApiSxrBlQODoTMEOy28Z8+ZT7/LUsTM6+SuE6ltJTNKrspS5Fyug55jDu7KqRJWn+ZP2MuWdgCSLDr6FJEralpmIIcyOncfnaJ5eFmnXft+57A3TwrDeCKDOX4WRRHF/taxdK2TX7uf0w2HvvtcB51SVzlAMfdXdgrdwFSGsfuMxjLd5gb+fYUfGARKon2nJeuvKLH5oD38+L7l4mCKpvqAh5y2Ftnbnd6+BlU8ju/IVXSoJG2jzSLvndBeVLm+2ksJXvjDN2ig/4UzGpUFvjjoNzPoHPQclLK+u3XCItUChrcqS0MjGYdKxMp+ahsPZuyUnUFvckw2yCX6NaZFET+nN/VfX5XBFVHvACZGFEPOONoIKtLz4M+5MTf84HcZG3yWgdP2jZwx6wN4fWb0bTZY/+QULFsibT4FrdL/dCqeLGuiH3BULYCPzZ/hQsc73Mcc+iurlrOp7QbG2lrkGpzSjzluOXVgEEyAI7TKiAFHwY90pP7psfQemUJX1wtcBLPPgg858DnD0d2z+tAOPq1VGXuuoWPZYXBa0+Ch+dKL4KSLqjqLlmWRla7KSqYTc3YKShfkLBDsfoHpssycEnPAE2gKXwVPonGl8Lt/2xjmAV9VHdTOtbLiBf+7F43gsAqE6Nq1jFOw9nYZbTcA4B6eokPBjy/p+4Ly2no2mBsDn8BjwbGcGfTDI+h2cdD/96EXOejxJPzBWetXOgAPkEUgZgbBAAAgAElEQVT8VGDYtd/+9rdXJ39bewXE0IIcuO+/IGEOlbM1Wru1S5ehLfuPs1Fgfx09sKEdmDma+N7bWWy7xHecOO8779wYctWea0kn/Oq/4GVyz4Epg55+to6aL/jJd86n+3hI8NF1Y1X9lOOMv8EpkECue9tQ8Fc9kg7IifKMsu4ODqvyyZg56AUAPOM6nPneFqv777//sNODiV0Bv86yQdOqjlon3M+JhXv9txXHd7ZO+7Q7NC47NPux3yUdsr1KSPVKY3Cgh+2PBYw5n2iM3j5VWnYAWzYlWMFhruwjgV4wt8X2hS984V2PPPLIwQ/GbM1oi4aAkrHpqnSyPqvoxDuSduYrgINPf/SjHx20A1NVTVWZpOs6w6WgrN/GqIqnwH2BLPfzQ3ozQD4Rep31YzYAPEjSeTZatWWSrHpWshN9lOcLXBXYNifrpjnhETQyphPpOfZgyy/inOurgz0vDvpa9E/we9FP5bwJHeTmUG7WoExwTkKlmIbkpPe+c4sgoiF+C20OG+Xj9EwnB1vsi2zXZxn0dXYJQBHQHMBK2DqkyemClfK+9KUvvdqPTlAxdKUcLdw5nykH/RS1suCvM9Ucwk9z8bnBilBfdhJui+6XtS1QYYzw7LkMFPMTbIDrBClFVf8ZjuGIMiEsFD7cUqwEN2MjwUQjtNEvuCvrCzdFUbUvotmYGXNl1FOaGXNFO2sfnbbqwb32oeeU177MuN855L7DJVgoS/NGy5zz8GY+Zwe9fikiY8LPvnrOnqpol0LuNW3mwlhz6nkO1GbQRW7hHmzmBxdlws17I8kpqXUWKvu/nYO+vF8GnUFeRrS5tTD7jZ+Uy8HTzt3vZMV1i7bfjNPeyao0saBDDmh9XvagP9ZB3wqZs44k6+QkHVNGB992yBCeg/+ydPBcZYdPz3QiP/qQYf9lY/GzdgUAcnY9Z5GtNNhnmckOynS+Rc63vZfkDCyyTwwWfZZdtSBnMBkjxwTvFjAgl/FWDueWVBq/LKRnNhu1wboM3pw+OCqg5TltwVOWnNMk2FDlUdlssgfOMjfhNv2NLoz/sk3adzYKIxVN2gblnn7MsdNz9WO+VUSEY7KtLTpV4mfssvitMeE7+QRPZePxhT5ctxYxQvWHZjmnGWIbHCCz+inzw5Cnv6I1vIFVtsb+/SoGwhscbwCxjBEHR9scejDCuXm4Rvc5rM5nGX20rPwSvgoin6vJ4i1jBX/B/OSmah6fyUhtco7MMZkwXmO2RrY+NQdzKnjVZ5l3MMIbvWxMARI4Y7A6lDR5KngOb5cS95v6kYOevYgOHcaXrJc5L4hZ8A3Pc27t0+YAszHQyXdrMZmOxnDvt+yjwEgZaTyHZlWFtAUpfikw7bo+tC/rWiacU0qOwKss1zhkSYabTYUPSrigfQmW1mFz6A0YHWrX9rcCj9aM9FMBOfynP//prJ5r7ztc4TUw68scOoOitukQgXcH6OHX+N9nW4zS7dmm5kz+tRcMeMUrXnHMl55EB/P0LCdYybY2nkXj9jO7Fk57lVuZ7fQj/MEVXXvO4huD7s2Oggd8UNLNWL2KDCzWAOdJVPFDHxRII+ubiEITdGdzugc/legbF17hkoPuTCttNnkGlnyDtkDgYaf7p0OsC+gnaNzhpmD75je/edUfOAqgggFe8AA58axPsLSWt2bSQ9kAG1zyPQcdrsCdg+578pCzDyft6U8/kg/fy7w7HDl+KKjWK3ldR2OBEfhWHcffkAA0z6q32gpq3EuJ+5U5/uS+3MpBX6dcrzFrSgkzYxgC0QFBiC9Sg4g55xioUow+9SUrx/BHyLJAlZxwfjiRRWNy8HJSy1j5TAFRjEoeZYhFa4wFRgYuR6wywMVQ2R/X2mdShhZzN37OUlmGPsG7jlTBC30kEPoo45vyXRgwdAai62W3KAmGD2Oo/SEEsDmfKV1AgPNK8HPQtS/qLFooOibLDKdlVQpUUKY5H12jRFtMygCVrVsntCBLMJbVhaMUB1gqIV/jPIc83Ptdln6/R/fmvm3K/GQ4nrOa7hubYqHY8YpgheyPe9rDybnEXbmdP/BSwNp6vmBIkUL8V2Y9hwWfZ8i5ZoHBh/7hxf09IA6vVOK+9G0RdK19sBmsOTLuWUgtOp1k3LtoyakFrb12oqJl1+1Th4uqTcBZRjCcXhz0xx4Sl27E1xk6yW6/tcmhLvNTCXiORgGpHNrVJWhHNzJCPWcBpEvxIUOo8syMAnxmoa3ktsqnyoLdE5DB54xNp7IWRBWwEcQs+Fim05zKchVc1L92OTTmueV/OV1lROmI1g6fW8WRjsRn6ciMC3N1v+yOdSUDAnzmTz9aO2RJynToKzyXQW8NyrkCI7gLyrUfsMwfOTK/9pe2bmUAptvSjT6N0X/rVDyRgZyTXDmnftzTLzyVWewsCffL0rtvHaCjGOfwAq5gKbBhjLKNPumH1khzRv+CsvEnOI2jbY4PfUCX+G/fZNmc1pqCx/RH+q8AFT1aRpqc4KPWU7AXuDBuFRgZlAVr3CtIXsWJtuE9WatqBexwR/9VxaGvMk1l17bao0wa+dKveTCu0b4y3N51XcWJ8cyt6gKfl0PibmTQlVZHo4Jq2Q1l6NANrUsK0FF0msBRW3nQMue87G8B//SJt1O85S1vOfiKzKIrO04/9nP77OCqZLtgX0FsvIKf8YjD2OhB71WX7KEfweCEd4GDyr0LFJAb/VRVVNYYD7X/Xt85O8lPwTCfdEGJDrzKefLHUSPLZE8fVRQWbEjXwK3gAhmscgqe2IDei25fuHL0tpAWzDCX9GMBXjKrfzjD69YFGWvPFqwSMBSEsYdbxQHaFRAGP5xl/0T31oLsSJ/GTw8nx+jXvnm8UTABffGSebnPP0CvTjAvS0+Gy46jUbiDz7bb+Ew/uq5NCQlwG9d6wO4u2FoAsOqCl73sZQd/2f4o4E0/cJLbEtbbhvCAf4Fk9AJvuBEcJw+9e9zc8Y+1QBs0T5ejmb7bylWgEd+Qk15hCieV2Rd4zdZAY7yO32TQW0/CkzHxDz4SrG97iCy68vW25TnvAZ6d71Vg4Gc/+9mRGGJXFgTKbq8i7nJI3JPzzY+nctARLufzVt1t9pzAdmo7obSQb9bc8xhm+6sUxj0HxFGwhGPL2xPCzQyugx5cOZCEtxIMTOcEQvs290CD9p634OqjAw0qj8ph3Ax5pUh7Lec7o8aY5pBiPeONoGhDSROGnNoUFNh2rhlrIpX2EBkv423hKJtVtqhI12bQCfSW7YONIAlidOBdkWx4333yGZXn+SwOWzD7vB0LLv324Lp4z2d40X8n8ZrL2Sk/O+cZnF5H1YE/8UNbJYqGivSJ+IUTfAfH+LZSIwsbZSjS2vtNM7QtmhnflFPOuWsMAPSBi5RwxrP7ZUwzbs8O+u2cc8+aB1mi7C0wOfrxZzhhXGizDnq4pzzB7Hen/FfaxfjwV+Q6Wlwc9JscnY50KJG/FvlzphZ9cuDX8PKMRVJ7bcoEu177DBX36FOLIX7pPIFKRvESeNYpdC3n9mwYobO+8QseFvxzaI7SzjI4+N9/+0O1Z1C0l7iscNn1HGiwr0OcA1/kP+cd34F5q5bWgQYjWQZ7AQuwaE9ON1ulLWOG7hZgIrNVLODZ8ExO/PYZbvQt+MGoyXHM4TIX+DEeWUpvRMcca+On//vcuRS4ca3AcHsW4534psxS9MvIqpLB/MuogyM6Wnvhx/Ots+uYl90qYIq2+Kn3GDc3usW8tGd40RFw0JpkDMZ4TpHxZHP0B8/WGCXznXeCn6ry6WDXqugKJukjnOZ85URXql41Rhn0jNWqCNYAzdlHv63CKiPI+DWO8Rnfxk/uOB/m7zpHp7XaGqEv84FDeMPDbWPwfBUs+r846DccdME/fHE7/Whtil7oYK13rRPNrV/0Eh6qJD2bA83LjsP/m970puNEdDJCpukPfaOT3/GQcazPOaLpxyow0F+/xlFhx+l/73vfeyR28Lr2ne9CJxbApkPITCX87hmj8w18xy+Vc4Pftd5TTcbiIeOC+Vb6saArvYSnC9yRU3BznsqCJlv6k3z4yEc+cjjSBf6DDSz4Fs18giUHFBySXBx0Y1Udow+we1OM14fBd/Zt+5Erc0ef5Gx1pPb1ly6jS6xNBZU3KVRSqwyzeZJT8PrXNgc9vat/TmZl4PpPZ5c19hz5Nn/rEhp6zZ3gg36zx+CirY3aeV2b5GK2uDl+9KMfPYIY9DR8SQKBSVDFHL/73e8efIDf6NeqaiUPwQgOY3Ls4RgPa5+NDwe+4y880BkP2rmnz/i3DPrZQc8/EcjKhjSH3hDjeb8Fvc2lSgQyUBLV2xLIAz2LNwpuoImKX2tFwZPWCzpXu4uDfjvv6HFcz/i0CFXmmsOyj6+DjoiE0f6ZnHMZ2tqUdfB8SieDyKfyoWc+85lXpXJlZDhLm0WsFLgsJ4ZsEcXwld/FoA6q8Od6e5DWmMqZzEkrI73OlPa73ywcFLliNJQ9r59bOejgoyx6XRh4GCIdlpCir39GgvnCHUHyTnTKiEA1pxxnn+sguw+vm0Fvz/U66Rz0ytwzZhaO6LcLRXRrjDNL5WDcqtRf2wITlEbZ9M2Wa1M2PAc2J30NrtrktBeFN75/+CsgtNl1/eNrmWBGqr+2QghWKGNv/7j7jPN10CkgPNf+9DLlnrFg4TX3M0hbDIxTRHPnWAbdc57JkLxV9txz66D7XlZpZUw7cAuykRELC2Xqu6iy4ARHpiwk+lKe8MxhK5pfRF9/Fwf9Jqevg16GqIOi0i9lD+G4wBe+YHiUKfW9QOUGLDNo4Nzijn4OuiS7otoZMPgJb6ITecqYSGfhjRx5PG4MMlFWstcH6Q+f0heV/AZPgZ8cwC25yzEvu23Oawibb/o5HZLTf3bQ9eX5+FCfDDE6MnxnhIBVf71ZI7lyRoTDleitggcZdRmr6AQHBbZch2fzhC94ap0hj3R5+ty4rQXBUAZ2M7n0WqW4+s1AijcKOoAhB2EzSjkfVcSYa2W40c49+CiYDBdt/ymrp037oo1jnmWUwQivGbLm7jt8taVHtkSf+qZ7VQvJIlrnc1ZUZzGAwQxfMkgMPeMV4EhHR1/4r2ItRyUjG760A0fZuHAEf1VplA0qi+iea+ugZ3zCc4dDGRv+c5asE3DEgObI9FpO+p284Qdzxyfu69+aGc/pzxwuDvo/60cVengOXchQZcHZLdavMn+ccXwnGSEziw74qmRGeiwbsuyc54zB+bT/lRPB1mGTGk/AaDPErhWgwf8FR8FSxpIc+G6tVAXQGq86h81UVZF+SirhdTDpM/uhQF1Z8nRh+gDf4Xf8VZBMP/B1dtBbM9yHF32SPTxuDWBPVpWQjoDH7BD4FGy45557DtuIvJGJHNuqorbKCo/DpWo7DmRVN731wvMyxyoLwZBOKokEjs6AKDBc9hg/+K7/s35MZ5bhXps93qnCpu2KVbvkdOfoV+5Pb/U6zfRj+61bi8y3al3fBTusR9E1fJUIet/73nfsMTdHthNH9Sc/+ckRsKA/zIMT7931nZ3gXusi+zKbVlv80GGt6AF2NMUPfqO5AEF2G54FX5WY2fxwkG3depx+xLvRxFrfm1bwT9Ud2sAr2ZHoQnffJb7wEbhse+jQxOagwoI/89nPfvYYHw79VzVRBt1bBS6HxJ09p8f5O2NI9DOlkVKsi8ovLbKYRukDIjmUCoNTsu3z80yOUkYaBm2R7gAODrq/yoQ6+b0x28fQ76KqhFu/YM142kw9gzYh3mcTenC25007DO0vg02/lSadHfeMVwxcNNWzOeHt+QCPfwqi4IF2ZXMoE4ZAEc092IYCE/10uAQ4KyU0dgZZ+/kKFiScaNIe9DLoOavwDDcUCwWSgQSWzQRSTuGkUvgzKxXISXmWddXudo56AYUy0eto7/cdq+ubSQcb3FayCMd4xzVjZKCXBQoPHZynTXT13De+8Y1jvuhJgVp4OLvm8ctf/vIxe9AtfmVS0KKSU7xKkerbuAWUtEG/LXE3vxwC3ysVul0W/ZxBr4w/h96YlKjFhYPuDzzaWWTNm7zov+w+3kNzfCtI4Q9N/YMtnrFgXkrcb1YZPfTQQ4fOgc91sNJ5OR/adEIs2uBNOMdjcOz5MqLppRzkXg9jMcS7ncbfScCNXwazjHy6FJ3LXsQj4Mphc5+RW1TfPfCtA13mMj1TkKGgTRU7OVQZXGWNy1qUoTd2Z0jgrQzKjMY1xqsK0q6y1eaWbpC9cl8GndFKfpM7Y4ILvtPXBSrAIaDM8cyRNXd6cx1Xelcmz6f7bSkx7wJw5BrcdEA61O9wv1mWXRNbB1bnZtjrG+xV5xgD7BnKOfLmEb+kD4PRdbho3aE/6INeD4WGBUfCW4Z1Trj5mCt+9WnfKZjMiU5hfMIZOsiwuwcmOGzNj8Z4EO3Tb+aANq4X5DJevOV61Q/moW2HM8XP8Qhclo13ryxcZwNEKzyRY9+hhWCm/80RD7ke3gq+9GYXDnrBy9aZnKxLBv2mflTym02WnRaftzaiJ5o59wSdOXxwzwZq+0Y8v30U2LbO4bMPfvCDdz33uc89eAs/sivsSdZ3DgL+dD9bwNpeSXNBsNr7BKO+JXrITIFQfORZz5Ad/Gq89ly3nlZC7jn2QFV8qx/bhoHfe483fuM86R9fVUnpejJZYI7ew8v6ruQbTPCSfiCjbEg4Uk5dksfcOWZwbV2pfBpu2Qbmz4aQTZZ5hwttjFMVlGAdusk2V90AFrDCU465McElq+r5xUHBPfJbxUWJHtd6dm1Bz2gD5/S35wpCgx3eSgKlH+FTX2DKqfSdzJqzOVlv9ccxNZ+SZPqouiA7HV44pfCvHXx6/q1vfeuBPzzBQYd7gUu/Oa9lxjvFnT7yvE96CP/3lhNtzbGS+878oItap/BzCTgwolWJm4LayR1eQmu0sAbAB7sP7NnBbbXF47ZFeAZO8IItEs4LK7hWwL0tBGCynSIH3f3sFt+Nd3HQzx7UE/idg/7tb3/7MSXYFNu5RHoNpQ6tErUTbdlXdcWQ2scEKUmRpte97nUHEXNkimpjfIQniJQApkX4DtFoQfapv4zMpktYLLoEY0urK0NaB9IYGGidS0xeNkDbSj8woe8pkUrtCA9mpyzKXmRwE8aeyegIbtfL+IKtjDKY9cOIVK6fEZZDvFnzzaAmrPqRKRWVg7sCEY0LTkYtB7R3uIdzbXK4yxr7XWnnmaVSzrditc2qwyknugBOwYTNiOcInPuqTYoy5zu+ga+im+es+TrocCGSnDO8QQtl7iLU7sFdDjr+lhFoQbSwGa9S8D0lvT2YFnWw4Zf4Ci58L6Bkjq7hATzCWTo76QXEtF0H3fz1vdl2fVkM9BPve05JklOb/dU+B92C8Kc//enIjvVuUe1WZi4Z9JvcmI58//vff+Wck7WqXloMy/LlILSFBv/iqyL4aOb5nLgyrOROnz5Fr3Ma8LJn6Rtj5EDR0eiHv/BJjhf+8X1lwu8MHAYtHVHmIr2eseq5HPeCtgUfjL3lykXvGUvNP3zoJx2Z41gAgT4gSwUD080ZecbNmM8QTlfqQ3+cQ7KdQZ9OLLvpt3tb7l7AzPWyFfrPibZ2oBV8tYfbvfbjl0nPmSOT4IGXddA9s9n0c9Yo/ZD+pUOqgEg/FID1qX+6Mx2dA1xGsCBKetzYBYXMWbuy5nF2183B/U7Fx1fGQx/0g2dtORQchhx0+o7utP4U1NE32PThegEksJe1a/3LuS7AHu2jWwEQeq09sngsZ6B1qkyesVobCrjkDNCP+vNpXTQ/FQPmR85aY8BcGS5j1fpuzmXwmkcBoYuDftNB/8QnPnF1RoD1kkNAnlY/onFvJMBH6GAd4qjnhOA1z+SUZv+gMx2ADz/2sY9dbX1Bd3TtgDZrt2d8CnSWKcUvBZJytPF4+pI+YMeqJvUcngt2OiHZpy9cNwaYyWtBNs4QOPRfJh0/ddZQOkFf5i6IwN7zfME5z8IBe6SgJ1kp8JkjCiZj9x5tvzspnMP+8Y9//Gp9AEO6wjgboMTLlYTrj4MPx9aIKmrSGfDlIDE0A7f5eL5DKVsD6JqCMlUmrZOuv/aRn69nd2pjzmjOb2hfOPklh1VC+kRrtDjrxxJhvbUnHV0whR2njXHorLWByDacWe/oCa/E095aXOAT7+BFyS/BEIlHDrokJhp7fR88wDlaV6WgD/rW9SodtYdzc6tSxD26xzhw7Xu6h561ZVFgiq3numcLNqGB5wqQsPlz2M0pvKM9+eM/SbqC09xVYKgY8Ly+4Y5cmwMZ/trXvnbIivMbyCqerQRf24uDfivv6Aley/gUBSq7WRc5fhkK564xXoaXjBEGwHi9hzAjpEUTs9uj4ZCB9iNTXJ3MTUFSLJQMZizbWQa16HwOh34xcAs7Bqt0iaKIYXJ0io4VaW8BCE79FlCoFCknPedws/WVO2HexZE2jJeEqmfMA0wUKSavtL/S8g6FU5GgfBOc4PC8uROqjFa46TnGnT9KtXeMi4Ctg25eZdEJVaeY5/SHkzJA4XppTvgzih4Pm+WoV7KY0s5JDWfGikfcw0PmDVdl5NEhGvS9sqQcYM+iRQ4//oWPDs5rMY3G7UNnZKKXRTlHioJV/t6fZ+Bfuw7yQC+KyuLhvkWvOWd8WpzCaRn1zaDj9ZzoskzroMMBPqGw4+P4v6CHABl6WvAsEuYLDoZl0XHP4h3tfvrTnx6LGTj8m0/O+2ZgLxn0G9RPR3r1Tq9Acd0ClzFfYHENBHxapL0SY7QkQ3gObcrSlu1FZzxj4TUu/rdAku3KxBi+4MhRwWtlUPFOOjGHtXtgwQP4JuMJ3OmP9t2aQ9VS2tVf2Y54u2BUFS1lKctg6ad9fmAFRxlc98psph/gE8x+d1hP2df0Ex7Xh7EYifCfPOszZxmM8Gt+5ut6+qaS6kphO2QOPM0N7zPq9A1vObFlZdMLGeZ9preSUTCdnfOMfp9VUoSDSvLhId2sL+P6LOhjXvSNdmXa0WGdoarFrIv6KiBUOblr/uOj1pTGxrP0hAwy/OM52WY6D660o08yysJBvNX6h1/puUr8o7O567d1Ck2NWWZdO9fIQ9tDChThMfda+33P8ShAlpNkDp2RQ88J6oCn1w8VyMoARndnc8iWmWcl0MZKdnIiPXvZg35jD7qMNr21PA/XaLbZ5A2ykN90IJ3I9iGPguPR1mcOFbnDgw888MBVIocecK2KCPaNMm30RDtyQre1JaJgZQGjgm/kXCabvi0YBha2lD9yVKDI9QJIOVE55MmlebFvy9ZWdVOW0/P4sIBg220KtO4J3ck23ga3JAtnsYBTZ8/gWc/DowO8GrvnyZKgU3jpVG9wkCH0YuPAt8wseemQUvYOfueMcgqV/5ND86SXrFdl0OGrSpTlh4J26aKzc766MkfdtfQuPmoNgWc482me/QYTvO87x6N9iRv4QA9zleAo2ALuAkFk35w7sBWPFdR1DxzGsg8dPdhdfBuZZ+P5lPgscFDlGZu0jLN1na0pU11Vh7mae1WinPYCiODBe73a0nzwZzqs4K6xXMtWtp72Vo6tJNEG/ZxIr6oFPM524JiTmeQZP6AZHkf3d7/73Qd/kAewwEeVoiUaCzpd9qA/Hm/pNm0yPj/wgQ9cHZ5W0y0tLmO42VHfz5lUzE2gRdl8EqD946Arm93XZWWIEKoW5/aS9Kx+ETzHsf1NGDQFQXH0h0HXQc+58UmwivQVFXU9ZzhjeeFu3gQbA1bWnpG1gu85Rm/lXkUZwaOd/07WxNj+yqjDJwFQLtZpuO4v3sFc6WX3KIF10AmN/4IDGbHtQxdMycHP+NUXJc1wobDBkiFYm8oYy+gsjrSh6CiXYOw+fJctW4c6o9oCc3bk4YlCyOAraKLPXbDPrL3Zc8qw09v37AFtKFDGZ6VDFmjfKTCR9E5xB+/5NWvGbM8sWuNLOAOrRQR84d5nGXQ8UGCoRadxO8ht55OD7prFuGqQSv70YRGgHJ04m9yQV7TK8fa8cw0sBgXe3Ku0fSPHycjFQb9BidWRcLcVOXg+h6NXlbUouod3Csi0KOsT34tW9xedGIGMKPvb6N/2JpZFAksLL34mHznQGYA5JjnA2qMvWDphuHJN/N5rccBdJjzHEXwZTcbBy+S0rEDwG7PAkr6LsifTm9EseJohm0OYfsgwZzz6Duf6TEcwQn1nWDESPO/Z1oa+e9a6kRObA7YBhGhlbuCBJ/rP2OAsaFuWtgCINnRLVQmeLYuOlp4t0BiO4LHS+w3khON0ZLgsMwd+sPemDfAXbMj4zehPZ7tujWzrQsaysXwPZz3XoVP6rSrJ+L6ba9tfwIGv0++cqg6JM2/XzbvsSbotxzsdbP2sXDI971mwZQOgSQkAn+QOrxZECYfxU4cSeb7ggzGsoyrSjO2gUON1uCFeKXhBj9vyA890sXHO9kFreOsS/HzmM5+51nssz+vjv/p3+tHBbdZAOiyeLvgFXzJtyTradbBWzkZBcDyIBl7dRM7jB33iG4GABx988OBJ61lOItqwawrq0RPGjU/KwBagYy8V0C/rrWqibUhob3xOSk6iuXk+fRx/1CcexDf0X05z+j470H3j9U51fef8+F6FZiXwrm0Qq/7IXnYHODpPBLwOc7N9zxkdeDy8e7YgYAHM7CU6gDPIhmhrYFVb8FgwhSPXPvT6hXNwZ5eamzWsIAW5RVNzqUq1rPfqR7rGmPqFp5Jn6cTK3/EKHOsP3QvCVQVGB6GRuVflpF22u+cEI6yHcHjWj+Tac/oFj8Ph4DVfJb0qECKYBD7tmmcHxf3hD3+4mgd66g8fSurQo61lvdqxMfBxJ7uXmCqBY2zjFBCCK3yHN1U/GMO8zTG+JDfwoV++RwENbdtj7vM973nPVeWTBE/+TsHaN7/5zXd5JbdxSkDo1/2CV9kkrQHOHLvsQX+SWskQAvEAACAASURBVDfl6p2SOb1nB6HytRY99zNIcsjWgbSQMlZEre3nwRyYSP/2SFOwZXQxRQYvxsG0BGczFa7nVGymtSgWeLTncKVsCN3ZyV/DerOYnl9Hpsh/e3cykCzgMX2LRbgy390SoG0HTlTCrh/On3sEuih8e9BT+pSfDHoHfsDtZqeKAGdAos/ZQS/qC75oY3y0kBk2ZpkVz+eAl4loLhl80bzsdIat611rHNcyIOHcvFK0G9DZ0nbtluYZdhn9Ralb+PUDl+cAUc6258BDkciMw0f9o8tWE4h+Utydqqlfitci588YObCVxGmLFynNnJ/K39fpqjypAIl7bXk482CvXVtnGY/Eh76TqcrczU/ABV3xFGfFs9qDr8AG3MuaM2YswP2VOY220ahM/8VBv4GpdKSocTTO8SwzHC/7nVOB5h3Mlczu9gT0d13VUHqLYUBvWcwFLP3ji84eKAPfIUUt3mUM9IP3GQHulf3LaWaQuJZTg9Zb0t72DHou2SqoiD98z+B1vwCFPtynh4IJ7nKq3cNP7QHFy+QQXGU8K+GsYuDsnIGJLoEPhoaAbKe454yXfSpwGp3gLQc93VWQr6qkdCW6WUvaC96czL1nzbe1Lzq3jlR6ufDnEMIDGNORW3KYfiqYoV0BUu0zgjMo0a7tV3AOvq0mwF90fOtKcp+O9LusXcZfe3bbd6lPvNcJwm1LKEjAKdAWX/tvfzn8VE2Q4e4amlsbMpzjzw0y4Y0yQPpAw7YaVQVXFQU4tnrBc71vGa+Bzb5ZbTxDtvSljb497xnBNdu/8IlMWcESuNuABZyBfa/bZ3qdDdAnaRo+7sfSj2984xuvbK7Vj3g4pwINsmfa+9oJ6NkJ8Ku9PuhGtlA2JH4RiPa6K7wma26N1w4d/XbdtYKQJoIHrH05a+jvO6fKuMbCL7ZzFIQEh0BNzg75ZIv6zNFMH5ATz9e2zDV+0rY9u/qrEglc4AWnfthkBQr0gyfxe1VOdLw/uonzq1+8CXZ2gd/k09pvj7jte4Ii9EQB1YJeJUY2GEo24KgtouwmfF121tja09ff+973jnHpFzgk0+ki39MXOfboBz5tez96gQj95KxXuZBuIqOC1FVOuZ59ZA715Xo8kH40j5xROgVOS4j5zv4R5C3AGMN7pqoO7eBQZSIbEi3MqTMIrEFsMFWMaKsNmnPQ0UkljjnQe2jj+SqO0Bc+8V8yYN3fIKDr6UC4KdhCjvA52NOV4AKD+RfkSI8Zt+pIcKFVwQfJQP0KCAhg4hV0BV/JTN+V8purN2VlP/DV0LtqreQBbsGHVwTTrrN+/F//B2de07+Uayfxbal2WWJKIufLZwt+hsZOrewzYcHonBzRNMyDmPZKyKCvw4J4+s1BP2fzckCNk2JpTLBk2MiG9mc8SiyBzjnvsyym++uY+J2xsGOAqWxJQl4pzNmppawxO7hSOBmi4O/kWP2UxYaPjF/K1T4WSr7XcoTrFp0WuYxiSrRT3Cs7OZd0Z+QxRBwUV1nuOuhlirQtCGPMjPXgPRt92u+CWKTR9b6fKy5yBuAvhzz8h/syNSmasu8bbNlggedylvRJmVh0LNgURhFeCzT+/stf/nJ1MrZn4VHfAkucgOaN/uZXoMhv9POfo1uQZwMVrt3KSW9+y+u3ctC1a66UYFl0vGFxoQA9Zz9Tr1BrIc0ZlD3azHl79coYlrkMJgtJRrLI8XVWrv8v1Go60snBlUpn1KUjXceblSDDPT2SwRaceCg+gWO8kd7LUMOjgi0MssrTM/DQwrWMwRxS1/CSMfGw8XOs8aPf5EFJMp4tw2tBr8xY3+bQ4Tt4vz7AZi7gbV5ViJT1gQOyqJ+yo54Be+VuOX7G9B0OPGMcMGqvXzxvTG0yQs3DfBkxqg8KRBVkKDBQNqQqKr/NBR3LCCxdytbo2/y0RRNGb3sG0S/YwAzWghhViaUrOpCoAG20zwxIl1eyXnauLUCtGa63NhobLuDSfHbthaf+gw1/5uQYv2d8+tePZ3zSj/GPecNR/aMjA9lvuq85lLGBO8ZgmeiyorvlI5xWAgvGxiioAJbNmJf59LnZQ/BUZl5QS1+7HQz+PUePsT0KBtHTuy1NG/S1XrJTwFdZca8ZTF7bS++ZjFFjmtuHPvSh/2gdmX6EB3zXWRv4DP795QhHu6p/bqUf4Z4sFIzm5FQdSfbZdYKlbdcxTqe42xftetnx9COY2J/ol76rcgMs6Aj2hx9++Mph9wz7AcwcFHKA1zqhO6eqLLLPMpvkqfWXzLQ9rsQCZxjc+IozBA9sEnAXmKu8mF5NvirVz7G3ltOV+ko28PPnP//5Q9eXFSePrfPZS9l34ASP8dGJY15wy6f2YDAPOhg+BE1+85vfHPeS//TrOoPwwd4FX7ZTa2aVW6sfy/i6ZsyqktCnQC49WFVXbzVBUzZ3Y6Ub9FOA0HpQwFMfbKkCSa1B6cfOMfD8S1/60mOODhFmE5YkpJvhQsILDY1fRt/43oEugNn2gbYI0EOdN5Dj7tkCuyUE8YF/sOYvVYXRPfyMN6sUS3/loDd/eMF72uMdtAYHGNHNvnPn3pCt9Kdn0QydOOfWXHa0P4GIqhQKVpQ5x2dkrSDAdT9o+I500BMihPa9KFl7xzF0jm0GFMKVYaY0MLnXOHkeIxMizI5gGATxy6RXCpUCoDT0USa3CKUx1rlPkH2K7vSnDcbGsOvM7fei982jPaGYvT/wZNQVBXbP3DI0/C5z1XMZnPCV8HveGObqbx10Y1Za9Ytf/OLKQS/6mXKtvM/zZbKqJCAQylKe/vSnH/RKIWobHssc7/vQc6BzvnO01+H2ff8yRs+l7+egTc5q2bbwBLayaxl9LZjrcKcM+0TTSujOfAC+yit9l11r/zl8tIefIjG2IIj9aufsvd8UFxqbd8GcjIyc6q5TdOaz+F7+ofR7puAO3vGXU2XOOehls+ojnt03HXhnpT94FfTSj/mVNS9Lr2TPafTu4YEMznjGc3grGWibx8VBv8ntGaBOxYVvsgqfeAg+0b8qH/KFDzIQMjjKMGcQ4J1KIdESL/vNEFX+JovnunHQpGg0XVT2ruxrsl2lU7Qr4Oezcwb07/n0NPgtsGU4ynQn+xmZfuvXZ2XOYaiyb7hpe4d5lslMz5bVBs9WhsCXPnLi4SJHdB10ugbfciiV2flNJsswJFM55ulI41U1wGDyvUyWNhn67UH3PB0BV2Dxn6wXgFkneSsGzjrSnM4O/Gb5C24UeGa4FbRAV3RBA/fpCJ+eiT4FFSoDDieCO2AsaxJcBWbwQyX4rhV48dme3HgBTX1P5/vEQzIxYEtfZUBnyGcXFPTP0C9DBPac8qo9ClrRSZWZwkPlyVX3ZEibF95p/uatDaPSNqXWHwYwPtCvcY0DbrwHx/gJXxU0WjujLGZBqrV7Lg76zQqj9GOGOfzDGX2mSk05L0eBM1ASpIqSbKPkqvJY9PrKV75ydbI3fNuvq2xWUIVDiz/oX7THY2gYb3Py0d4fvqbrqoDYIFBv2JBNjM+NhT8cJmjtTX8ZJ/kjB1Xr6Zc8sPnMpz985s91TiE+M0/OXpUmVQri1wKgVfbAV8FLvEp2zRcM5paDbs70IYftk5/85OGgc7zbbpmtloyDyVhlto1N56HTC1/4wkOO4LZ973AHTjALvHjTUPqwgHGBVbCRtz6N1doXXgr4Vfrud+tlQdaCoOBEI20LQJsnHKav0R4NtA2fnjePkgzoAv8qJAsarM1asAetrEHOMoD/yvXBmF3oPhxL5sBRgfeSbT/+8Y+v9sjjSfjHr+7nT1VRBLd0Fno1h/RjgekO8sv5xh9wzBku+GldKyDd2g0veNa4Mv3GNA/bkKuK9lrX9Hg0hjeyYH/6pz71qUOOCyBpC15j4MFNtnmu4K82991337UOYN4xDjqkVo69DobIoWje2VnKeNEWE2BYgoAZZdApNcTttE7KTHnSS17ykqP7FlUMldPauAiPOVIOGaE5pbuAZoj1mimC0OFbMot+r9OdQZUjWIlIwYdeRQGmSloJjsUFQ2PwWzno4EjZgV+bSgLLhsDvvisyx9dnGSlRXAsauMAIzznRtYeHMtKVqHLOLWwdFHfehw4+eKCEVRtQsjlyFKs+1+GOFrsYbVn67b63GJZlN2c4L7O0GeYWQ+N3PZjwhbn5y8GliMBZ2dVm6rWrfJMC4pw/7WlPuzrRfnkMDjjn8FzwA57BwXizd8g4LeZt/9AvWKJtmULykfOy84tPK+8silrgJdkJ1xRsC3oy4rPsee0EWIyJ5mSjPefJBx51kMtXv/rVq4UDLxk32dgAB95rgbmUuF/ZVseXddDht8wDnOFVeOP49UocCydctxWhhdInmaHTLKoZBozIDBP85x6jgIFbNrrMdjoCXL5nbFWFkvORTsx4wZtkjS7HX/gRL2aw+ARXgdccQXDp2/PmQw78pis54HRZZ4DQdZUUFsDIgVy4GRVl8RkO5Cljzhj6y+jcQDAYMghE88lE5YKuG8O1Ne4yngtwgN88NwhZZiHHudLsDlDqjIkM5saAe3q955Y3yjiVsclRr3y9LHbt4Eu/6cgyzPpMx6DRWUeaRzq7taoKiDK8ixfj6gdfgAne9jRl/Na67nm/4QsM+qnMEk7oz/Siezn0rd1tQdKfMdEK39XW3KrQSF70YSztq0op0AQ/8Nm7rQuCVXmA5wuQgc+rY+nTKizguAw4GMkrfHujhXatO1WlVb2yMlUbfRlXm0uJ+41D4jjoVfJ1ajlao5eDgx08hRfoDXzkky5dx8Y1dha7jTPLjpSpJYtohzaqurwJiC5raw+6VH6+jjHa6xOd2hYExmw/vFaQCKycfnyHj8BAlpzMDSbXqujDewXX4j+6kN52j2NnTQBjZ5MUqDBn/Mm5BFeVR60HZSDNiY1WhYt5SU6Yh37JMny0vrQe0Osy6Gwcdis4zbMsNJ3hmnkbOxyRc4Fhc/QcuvlnT6Yvjem7vlVhgg885gy25Fi7tjMVDDY/sO3e80rUtel67bOx/AYPfVQgOd3rHr1nPPySzVklL5wULLGu+qsCogRgeCnoZx54Es5kip/97GcfOHDNGDm1nHyBPZ/6MHdzNidtnfmjj9Zmc4djn+Zj20WOuesCQdp6tu1TaFSAGR/rr1fX4SHzjH89qx/BhK5nvxS0ZlOgN7p+7nOfO5J5+BwPFQgqoGruEjxkTRvzg282sHtVw2Qnl3AAB9joajS7lLg/1p58Qr/OJe4pS0iOsYvM6TiHaPdbl9XF4JgeE1NalbdnQGCCHHRMxjAt6m4xP5e2Z3zqK+Oj9k1ynQwZ0ZxDjE+RVJpecCEn1WcBgASn7GZ9l7X3SUDNY8v7wVykbpFepHUzk9t3meoMJ8/moMM15cdJJ8SE75wpJigEtcxqJTBlOTimW+ZeWV8w5qDDf04tulIs0aq2cLTZ8xxq9yuTdC1DNId6gznxTX2mALav4GjBKZNSRm7LbrStrMz3zWC5ToFQGr0Tvux5BlXl7cq0LLqV2WWo7/5z8JgLuYBnfNuecGOfs+jxX05wcwZjJeU5wJX1x/ebQY/PG2sddFsUzIm8oTXFmrPYeBZ/C0RlU2X3jRnM5uW5FgVzvWTQ/1l9piOd01H2Mp4r81nmMucteci5yFEmZ+61UDMW9IH3tGGA4DH/6GJBrbx5z+Jo/PQxmaq8Uv90bc6jNnjFp6CpschC+8RcJ+P0in5Wp+Vc4Z+cpuRF/9pXHZMebQ1xv1cqGV//yWuZF311fdeUnOgtPQTjGqSCjKpH9JFDWzVOweb2mrYlwbzhZ8eCK/MscAr+jEFwM2bQscCM8TYblNNs7DI+cVHOsv4rCUymW9+qeslpbo3arHXGY0Gf1lzyCm60dy/+NP/KbOODDPN0K0O0Nz2UdSqgEl0zPluD6I7KmDs1u4xyDgN8FehM18ODeeoH/vzOsC9jVIBoM/J4i46uzNfYVa7po2AK+ptf+zIr79Un3s1JL7vvOe0deAV3ZVC1T1biUTxY6T78NBZeAh+98J+8DWj1I9yhUVlg9+CIsyWgnFHvOv1TFrvKJPyBL6t0UcnWK3yTcQkeb9TwPAcC37OV8GpOWPqRLBtLm044Jy/4IbloPcSfnM50nrU1veoaGPVTxQY5pUfoOAGeKk1z3vWPn3JW9LdJHzBy0qpyWf1YFRQ9lP7etyyZQwFLbeC9YKRnrf8PPfTQsacYn5pjQVdwa6s/eM4BLnuvnTJ3csE2AT/dnr0IXnA7HA2ttIkH2MRkJX1VcCAH39hr55eNdq0D4jpcr0BtCZ6Cm9mefmfXrHON/7I/9SGYgS+sn2gDz+BBm6rJWofQZINMzjoQtKiaIFyD1fOqCNJHBSCsJzLVMtRwVYINL9IznF3PG9Oz5q4v9CjgDAfGzUH32Xkh2rQeo1FBG/2VJDAvPBJtWi86M8QJ//jRXAUGnvKUp1xVHmyA1Qns+IL/4197fZtH60hVwa7BK14rYYtv7r333mutH++IDLpFRlQEQnsfKkeAwLXIFqnDrF0jLGfnF3P5F5km1BlwGMipkiIyIoyUlf795ZBUnlH0H0NsyV2GT46E35XPVzrZqy06Bd2cMPLuQ08pZ1zoB9Ov81z5EiY3X8q5aKL2BBL8KeLdl70l713PCc6gOzvoOXc+lXVljFQa2JjnrHHlMxkiOeg5lufS680eF/GkAOC5KG6OepE8YzePcBQtdt6uld3uPnjLPOQER7d1h+KTMueeqyTx7DbtYna+VxWB09u31D/HXHvZH3zSeQAFFtzD9yL3/YELjv1XQrcZdO1Exzeb5Vo85tNc8BolnXNWVrHSXArZX3LW+N33W1bIQtO+c7jqsJF91jsqVQFYXLuvPCm4ChgsDYuARpuyFf/JxidcZHwoq2zvoKwGXlCGjneqnigzU9Cqsrsyj2QyRwY/qfpBi7KLnbJu0dSnxRevnQNeaJMTRUbIaxU36yiWTcZDGSFgYkziv4JEDBl6PYMpY0BfzUkfVViV5Uie8TW9kI5MPuHPWMFrvLaygN/1SvDhIR25eCrokREGbvL229/+9jAyysJmwNFh6ZsyReBrP3dBvLLYYLSeuO6a7+ahvTl1Om20BHMOcM+mp8qIV9ZecLOqGLD5pwNyenP6zCuabtZ49Rtdi9b6zUHcAOUGDnouwzwjGT4rbaUb6s/80jXGoRs9AxawZojSqfb6+sMPZbILnmTElYnKsemtF3CbU56Oh5+yc+CoMsM1/bcNob2NrlctBG/mk8HOOc9RRzs83f5c7azh7AGHscoA4iF6EtxtqQAXvOAj47emFUzLkL846Df14+tf//rj7AyGurUX7ziclFNQ1Qw+gruqd3IK8VFBnOiNv374wx8e+gO9CtRY+z784Q8f9io+VAWnH/fbxlUQSb9krQq9zbyiNd7Jfqt6BY31iSfpedd9+m/vtzW4Q4ObU4mcXktWJYZ54H3weU6GM7uzsfC8+/DiGhzRPfjLbzj1SY9xvn3Cr3kXVNIHuchRu//++w8nL1vOfDdz7rl0QweqkRdjctCDBR5KFunffJ1pIzgiKdb+dffgqmBvCT72J91RttuYZNJf+qpKnNYuttpWzYLJuHCSjHr+bIviE8+iK1gqIS9wu/ox3VzAGf7KBhsLfe+5554rvaI92tJN+Iud6Lu50BNVzpmLqo/0X0k21zvfhw5ih/uEZ8/augGWtoZ5ruqytikYhy7jd3TKunb427OqPTr/w3Vz8l+VB5wmk/w8Y+K7zjvwDPkyrldvaysIjmfxN5mzRpmLcQqeFGiAo0rw3b846Gfv5An+zvh06IYIo0hg5Qyca9FLzIAx2t97zjQbkgClWDGs0nZKrgylNpjaAisqhZHKJPTKMcoGY2C2sgsZX5vVSQjXUV2nRn85RzmPlAjGSsibyzroZVIyusBnDGOfS/8XzWCMWV1Puba/N8dznaHK+8pYxOCVaX3xi1+8OjipPR0ZJH3qryxL5eYU7Ja5a0NIMpSDgYMKB5zUFDj8wH0GV23Bv855gQP4Mu+yg/GBT4LaPQo6fPtskdwgT8+2kO6WhKKdu9c2p2F5ICOM4tp3n+s759x8Lerm6Hu8lsGoLeVa9sTv9rDhO7zdu9DDD/q0YGa0RnNtwWrODF6KFv6W78qo45ey6PpZx7zSKqXtMuZggg80aFHV3m8LOAPGnz7bc4RvOrwwo74Isjbht8AR/r/uB3w8QXX3pJqnI5VqVVaGrnioV3KVlSVLDBp4xVM5owyE6NWC3R5ENMtYsJD6p4eNZZF3jx4tY4LPO4W6wJJxcoKTecYDvkvPkpV4sZNqywbjHfBlFOL/qgDWQTdGRq3+yHOlb+Z83qpUZVDBq8oejVs5e3o5OOEqfZOjmoOIn43BUHC+CX6GD/ybYbvOWxllsGYw5nTpM/wUOGgbE1mnHyo9L8MMt8G5AZHWjualv11vwiF4jFkgtAw7vJRhT0dqUxZ81450FtzAa44tuMLvlmcXBDEH3+Mdc6N7ChpkROsP33WWgr60qyKMMe+0604Y1m863tzYDZ0vo8+C1QUVXEPfsiw5Dn73jt54KppWeVJQaQNPlcyjL9j+/Oc/H/xhDLCXKataiNNCblSpMUyrziswA/bW8KozturLNX/J6qXE/UaJO4dQ4kXw7KlPferhkAmW+K/awvrJHqHb0o3ZG9YxdCUTdM+jjz56BDDp1K2MQR/BgOc///mH84+v9O9ZPF0JeJWDaHnWMdZQz+LrEjfxJFmWIaZb0Np1MLIrKov2WcZ8HXTfW1MLeLoGRvMrIZU858yaH31tTDxPRugiQfXkusxyjq5PPFjwQzsBNzY7vrZ2dzZObzRKZ+S86cN8wdr70bV1TUCCPWIM/Xq2bZH6dcCu560laJZ80R3py9Y1+jB9kh1UENi45Dv9kz5AzyqwwOE7We0VjdnduyWQTpJcQYMC5/op6Ncp+cGrj8rhzQUejJP96AT3qg9yztHJeVeul+TB0wU68Tb73ZhVk3QCfJUefK22i8EVXsW7ZdW1Y0PiM20LHJMHdMknqApEX1VnsB3g072qXOl9fGH+Stv5X7WDA35ZW9/IsLbetmUsfO9eh8H1hig4BG9rHfrmnJt728ouJe5Pyuy88VDGp2gJxYAxIBnxfCf0lAqmz8nynO+Uh+dzXilfjIF5vaOxLGTOFiahOO6+++7DycAIhIjiyUFNGWeYFcE3ZotziipHcJWdNhg1B8hvzF+2AnwUSoGAHJj6r68WjbLoOTs5sHCUsjZvgmCsVRbBh4krI9Vv2Z11tGtr/pjbyZDwlzGzWekc1sbKACMo7aPPST+zhvuUiuAJ2i0uwWke4MppNy4eQOuUrT61qWxmr+doZ9w3fln0IqyeLRqrjfEygtY5vxVro2XG4ma+KRCKCm+ZZ4ok57yghLHA0eFwm4GihGVWCqAUsQQHReWPkoOTsuiuVTLXgXEZ4HBzrmCgiCsDtpi1J8hYlHHZR055f+1ZKpgFFvJThFS7+ArvfOc737maf4ZKjnrBqxzJeLt5+MR3Fwf9sTpSELPKHnfgNaMDrixIOSvkHN+hWxUI+NqiiUcrcdMeXdJ3ObwFACobr2+8koxmtJZBBBN+aE9h2YItN3Qfn3QoUwHQSn4rQcXb6Uj9ZYTi58rutC3AmKHgmTIAYDd38zVeWX66IKewTHwlnen7dJp2OWvpSG2tI95ikF4B3wb/zDlaNUYZe3MtkFCpXo6k8TJK0SjHGjzpLDjrus+CGZVsrz6JNjmU4Sl4K2+tUsEYZWLKiJVFw2PgrBojuvYJP2WgClyidXxXdr4gQYa+6wUD6ZzWSrSgZ/udA2ROHJgcW3C6hi8r5432rbUFGgpkZUAXGC3AArc5xWBHDzqy6h5wVgbqnv7hAx7pfeWs6FYWP3jiWfypnYOdZMCe85znXG1LqNKjYGsGvrHrL/yDEz1cvzjoNxx0DqE1lfyQK+sTOSWXnGGB8Sps4I9dKTOH5zr3x/NoZusBG1IbtM0uxBP6ftGLXnTYJE6e9ox22riWjVYAYIP4vtOt4OkP7yafaJ2NWNJJOzyX3YE/OKrGYqOBvaAO+PCa/yoS3at6haMrgIWP8KHnOUf4toBqQbNkucBWVaN4LpwUmN21oHL+b33rW1f2XYeboVNBy+xXv80bvOTDvMo+C7aQx+RUW+XQ4HauAFisFQVuzZuuh8+2KenL3FRXZFeF+yrDNiBnjEre6Ziy/NqiCTltHSt5po11xxyqUmy9uJV+ZAPRRfBY4BZN0Af+2Y5w5vVqBUv0r4IRzo3T3KsiQ6f6e+SRRw4+gg+f8A4fcOBZSVB2eGcMGMN42rDtrCXaGQs+CizoDy0quTdvWzvgC+z+VN+1vnLojQ9G1207ZvvTx+boZPqCucaCb2N/6UtfOg6GEwQzPpksoAWWknQ+4RIuCmi11a5zbS4O+q28mMd57eygewyBKD6IRwwKVEQFsVusM/K1TwFqQxApYoyXk7eg2BfsWf3HpBkR9VU2+FbPr/NWeUsGIEaifDO2chwxZ/sigqUF273+MFnGaAswXKzBVdsieRnBZdD3vYza7rPGStkuTsrouGd+YHWSO0Eqa5Yht881P8KIBv5yBm9V5eB+dKM0U0xtIzB2i4rPSrAr10R7/RYs6DNjP+chxbjl8csnwXp2yFPW2uYc+L7BieafgdxvfZY53/33Z+e8OaMXPomf0BvuLDpKt5p7JaXwlgLMMG1/fE4Z/qOI/a4ky2fRRM+Bs/mDHf+YayWZ0ScnHT+TP3vjGL367z2lFtL/y9697mp3lfUf7xlwIr7WEAk2Eo1AFBVSK9u6raYbMRDFTVGhQJvWBLQlirbG2roDQwQ3MRZjqvGFh/M/AvOZ/X9Xf525n/bhAZL1pGslK/d9zznmGNe4duPajTE9n5OnP9kK+4vaLxYuw1OR2rLlxkumTybBzQAAIABJREFUd29YmcWbDPprQUyvWUsvoGGv7bF4kXu8xVDsDITNlMIzIya+QzM0J/v6Qkf8qB/R+87k0JeFsUwuHtO+7AM5PTtqYOxaOrItPu7hH4ZABmByWGY8A86n9hkawQyWqizi28oE8Vn90suMkDLNYC2rlKG4lUSeJS9gzzmKbzN83QMT45+TZdwODQvOxu/Z5gHmysLNv5LGDOo1fspAgK+MWLrCmAUqwBtdC1pW/ZU+y2jLycQnxtK+rEkwa1OwAvwFIsvaGq+gJN4o0LA6MmO9SgK/PQ9+sOBF45tD5efG4uwWkM453moE8Arc400ORRnPMj36q/RxKxLa01+5ac6F9v3rGy/hj3QfmDPO26KQPsUDGeydDs6poyPBvltKNrBR6bNKJHODw4Jm+kN31wr8wGtyUbDcZ0EE95988slrvcfyNk3BO26WDfnAAw8cNMxR/tEf/dEDjyoW2DIcCedG0JfomiFv4L4r+xVgkRFv+w96ohWc4w390mu2S8pwWvPoE2OjJd7rXAbrfzZa1SarMyu1ZjtYZ9MtbcNIBtsCpI/0o7ZVl1TpYTxygc/wHTg6UCu5TNbJEjsZf5XhpZtVVrE1CualW3NcwZATHNGSLf0YV1ny448/fgQ58DMcWt/J/erHAhPJk/l0IFvt01XpSfOrpBueyJrn6CKy0R70rcDqpHay33YFdPK8cQTh9MPJs2aU4NhDltPFOdbm3tbYqppKRrgn+1uSsO0PrU8+4Sq9miMsICFoBKYOc9MHW09lDhjIfIFUz/mtL3PH6xI8bMj4Fv7xtPlat/Bfr7rF5+ZsTj7hsRPk4co/vVQ1Ab5wbQPY5tIWBX207QgPetZ2BbLnwGABM/CUMYcj8BuX7kYDhwtLRqBJ67R2Ba/AAD/ae1Z/Jevyv/BKlQm2Bl7nbZJ3xR70++6770B42WYMwYHOKbEg92onRM+RoOBy0BAW8+Wcx/wYCAExDAbWJyXtAAuL/TosRRpz8gjEOuXrUFFs7aMBE6bBFGWFUl4xUL+33No8wFk2ulL5oqobiPB8DncOnGtl289l7ptlAV/GcpFZY2WI6g/uMgzWQS9LGoybnd4sfFUD7UVvvujT/uPFgesZez4p7pz0FNi2ce2cDT7TuP4z/t5s1S8YU7uUdr/P9y/15xm8JRq4zrm266AzEjL+ytg3f/j3TwlbIJe++tF/+6TQzW/8RnnDbVnL4HMPj6fgXF+nY/mqTPY66ujA8LBVhNI1tmhuCw85IqNl1wrWWCTOASVzZZByaMrco2O4tlicnXS/8dPNe9Bfc9AdmFJZLzyXIW8vI1mx4MJdiyuZcp2cWETpu0p7q6rBa0W8W/DQjG6jgzvYLeMQD2TA5GTSQfrRpmxo1/SJV9Az57pAXM5rpdEZKsbWtoO4cgBz7OKxnMw1+uojeHPyyqroV/v6SH8WFDK/shKrI31v2xGnjLGvDzKfMasP39eIy8nL0CwDVfmh8awJ5DVjOOMNLsFdJjw5y0jLCU8P5iDkXBqzTGuVVJXD6zNHcvGXIZ8uMZdwli7ag5i6v8Zn/NTc0b5KqHREgSH4B1NbfhimzTfnvmonuojRby45t8bQJ9wsDfUJbsHCtvYwVAuEkBF6szXbWAWDy7jXlq7yT9Zav9GAE0dn4wFjye4xpvXbPueCXz6NpR3YGP8F6MFP19pTmz50H97AbNz6iWZ4BA6dXn6dDdA3W4O/0/s56Coj6Ti0hqv21Qo4wiPn2zvNs9VaT62hdCm8C0TjR3SNd9MjVZRY59tC4RVO7E40LQtbFU52Z8Ep991bHkM/tMN79AH4c67xRHqKzVpQzjV2r3lWdl0ZehlTn9ka7VVPrtMxZxsSzvRbFWSBwD7xNEdXO/q6gBv8p0vwPlzQjznoxi84Ufl4+/rXpq1aKSe9QIo2nDWylW43N3gDT8Gq7FttwFFFqTnlQFehFA78Bj9c+0820cUYVaitfmzti2/xTpl216KL7+ZdsOasH+tTf5WMK+v23X987Hk8o6SfD4Q+5ta5GM07/pE9p/PCtf7N19w6a6ZgLX7TJ3vOeJKc8OcZbTnSWzFU1Sdc4YHamj99h0/xZK9ec1Ddiy++ePA1+Xrf+9536E9BI9tQzIE86g++facb4Q382YXaPfHEE/d87WtfO3gLfQSYwCCBoD/XzLMzW+ha9Ls5JO470LAp1xz0uoJ4/5BcdJJQi7KLklRqqz3iceAJsf7O+xATFAusQwl8ilTJohMuGfdOvb7koHuekBCKsvUEKGddHznW+qUMctK3PC+nCBNRcmXoy2419xymFGD9EcBK2cGRgs3g9vwGG/w2foZynxk0GXebRQAbeOyvZIAWkTJ2xqF+2yuasdliZPxzmX3OYYq/eZZNNr9wmYPeHuqUYSU9OXiVfKZ4vd/en8hhZfMtLAS9/jd7/kZse3bUty18F4wouMII6GCTggi775xj1J57OPPcOrLtl3ewWiXExkxZGa/DPDopM973uWXrwQqOcFE0GuzrJPcsWJ5//vlD6WVsxK/JirbkjtPWa4HKdDVmeM4YOAcaKGz7R8FBhjJ841WfoqVl8W4c9Ncc9E9+8pNXp5fCc5mPDCY4x1v0H0cGz+XYlL1tQdW2ipoMBzxQdB2dPaMMkl614O+r2eLdjEBtyXPlbOAoO+teW0vKbuHLnPMyhGQ9BzfZrbTU9QxUcyAP6YgyxniG7kmW0mvGyUF0LdnNqW5rRrq/gIX+Mh7cKxgB9zIRXrXGqVS6Rw9VsZBhX3BhS93hGk30ZR4baNBHTqfxwOXZsto5stHZuphh0/xWpyaDjCr9OHsFfjgq6dUc+9Yzz7SWFWhZh30N1dajS3q0ORasME5O6wa509/pCTRtvVtcRXsGoCojcwen/qOLMVzvEEu/4aztGeizpezm155P/XDYgk2f0c01+tM1xiZjML0Xf1jbrAFgh18GaVlF89jAi7Gib44NuSnxQD9y1M2F4Ytm8ai+wKN/fO65T33qUzcO+tvedpTDdhAgfKNZSRP2HXzRiZwQDgkcRwc4FYgkz/QnOUrnpB/RDb04UXhDNtD6JCEk+EwPRNvkilzmeAoE4O+yrGWK8VVnvNCbHJdO/Pa7ChpwpB+qMMy5r+qiLDPeq7LTeOmAKi/BgXfAB2bfc747fyP9WAVKPAgvxikhRLfDS1lVsH3f933fsQ9aNtd+Y/isQi4dAtdVVuVMZmMXvExPGU8fnLNwbLy2hcBD1SZoab5t74Jf/VpzOOvkqbauw7Xff/iHf3jQx7vos5sKLsc/xs6+TXed9WMwr6N+1pHGba0Du9/Kz1VlmHuVkNZesGgDX/QZXoH7grAFxuHHGv3MM89cbT0E2/ogbCsOLV7NFtCvdu3hrhpD/5I/5MV9faMtfLLb4CZnuDMGBAc46OC3BnQonUoT20I879VwXq/WFtDWt3Q5+pHL7JsNmsDNF7/4xXu++tWvHvxkPvgc7OCNR1VwwIfr73//+6+1frwrMuj2oO/JiTnhLXQWWcy6f0WfXedkt7cGEyBWZQ8+I/g73/nOw+jUf5FFDNkrbjqq3zgbKWs/g+tF3Iumu1amlQJJcH1imJhZu3X8EpwEvpKMSkSaK9hzqsrguEeploHV12b6M5wpNsJSCZPnUsCep1wzjCu51t4+flnPjMKMoRR7Y2XU5vhuhruzAYxZybv57wnl7jWH3VJAIa0Du5ny8IWOhJwSsKhpb1FgIKWEi8idFWSBlvP1LcE/t3Gv6gE4xFeVmbu3Sqd+e6UcPFKE/spq7fzMXd+yMZW36b9suefwJj7d151kJLvmuaKpFKv+yU280+Eo+LYSc/2iKRmymPoTCKDgKj9XcmXxKMPFELVg4aky6J4rgBMdy3auk+67EngZihx0tCp6CjY8bq4+b0rcX3PQ7TXtBNcyiBZbuMIHrnWAV1mfaIgm+KPyymiFv/Bm1Tb671266xxqTwfSFWTc4lsfOcJVhaQj0b8FGt3JtLHoXYaSMdG46qYNRII1HZcBWQbYPTxDByVDYMiQrU+w6jv94pmyUsln2YUyGBlm2hbcIEPa4XXP6082xxxUxcCH+VUGm87JwXUdnNqYP5pUplzpdIaf+65V6QD+AgZl1TNcysSlg8M/HaAtOBkwnFq4+YEf+IHDWPNqnl6BY7xKFsNlBuc6hRnVa6AWCCnL39oC/3BVAIjegAP8Ax7jrdOML/Bx63F0BE98lhMOdzLocFRlQZlk/OC69YVMmFtBG+Pp32djMy7dr9oBHjvgtfGq4OpgWMYlHKI5PegZeKZ/rf2qnxjQfrc+J1sZoAXLklG/KwcFv76tvb2+qKrC8AGv+FRbuJZZusmgv+049RlvsO3oCg60100JMFfNwE4s6I0ebftiOyrD5aTDM17CP23paMsJfvnxH//xq8Mh4yG8j+/oid6wsdsz0JozWQANjfUl2F7yp73NAv3Jf/oc72YTgdlaXkWGsctmtoWns0OyYY2ffOGdtv+RxWCy9pKF5D+9Apf4GZ+2d558GR8PggWu2udMP3MAZXwF/clswQDtCppkJxsnXPsUXC7B1cF2YAI/2pib6r70YLquIHEOa6XqldGbJ7oWPPZJJ7Lb2Eu2v/rDR/jG2GAM3nAZfrLXPbP6sS2I8HIOYrYdDf3hEKx4LvvYa6CtLSVp4M1ZJxI38FuAAU2iVesvWH2XZS64UrWUOeA3uLVmkYlwDA68R5916Kx77D44cq9tXJ7lqIPf3OjSAoZkr2otelCwAe3h/+1vf/tx9pe5CGipQungv2wXMOeroVV8kQ9V8g9+7SsXFCPj6FTwR1vyT3eiKRw9+uij11o/3hUOehn0HIoWUcJXSRllhYE4ZV3rcAuLYo7BOnMZeQkXIYw5MA6CduriudQ9pykDL4O0fYoZc73yRUa+LDFG3UyysfxZ3CnaIuY5vmV1Mm5zas1zI3SuF2Vc51Kbsik5RCntnvFJ8DBt9zaSmHNHqOyn85/iLIOeUi1TRTDQZcuezG1xmUNZkOOcYQdD9NkFwtwp5MoWZckpL3+UL1x3AiqYHcIm6y867h3jnuvAk4IhOShl3c4BB31nUOWsg2lLXYuINw9Kb9/9ro+y15Tbnlhvrv4bI/x7RqRS9qTgUoprA0yV/aB1ma4WgRyCnPo9gG95hbK1sMo4LC2U9/mDd8qTwclYkC1kMFS10iu40Lwg2RoCwaEvitofZakN2PyT7xdeeOG41+IUjczRNbS9cdBfc9A//elPX5XYtjgWBIFPMo1XGXzkxDV86Dc5Jrt0Q/qhIB4aFMUmV+ieE6kP9zpsq4xLtKzipZJK/FD5XDJDF+AD9Ow9wVXEbHYoo6JsB37wn2Obo4u/9AmG8OD7BlSTmTWczLPqpeZBDnLaXauMOMNMe/fLEGU4kQnGqnWHPGUIwUPBBbjQHj8ni5WvGqeME7g7a0S7qpMyNNMV6fHVl9oXkLCucB4EWNCFPslhBRP+YGAJGtpHKwgLdg5FpbFgyfFP7+bAtw7Cac7HZpNySKNT8ObIk+meBV/BG/PDX1tqXjBGX8bVN/h9h/ec1qrAgqcAgj7NAw5dQwu/PZ8haDw4K8Omj6qc4FR7RqY+2lrCiTM2OWmdsw755+TRk2SNAayvKl3i7eheSb6x2TA+6Ujt8EhBn29+85sH/7TfPnyA3ZzI9uc///lrbYDu2vO9+F4VpveTw9Oett1WBddK+pALzoJrAs1oap1GP3yXvsneAzOa4B0yKyPMqWsPLFr03ns0SeeUAEmm0Vhb/eN9OgMMPtkt5vEjP/Ijx70qoYyR/bcyx2YlT+S7Kkn9kOOCgJUp56gGl/lk96x+9N245l12F86SGdfAQHfjO/zqHj53ryy8fmTQvYYS/4LReoKnwde+e7/hna3Rafjop7+CttqbR+/kpm89XyIt5xQcrUHWmeYFT9nicC2Yhfb4Qmk33UcnamOuAmNO7/+5n/u5exxy12G/+oZvn1vm35lP6Zec9YKpvcFIO3jI8SzYVnUCXMKZefkveFNQR7DDM2hprnTqZuDxVcFLjmsJw4Iu+Rfg2hPas9+0MxadtzqIbir4DNfG7bWr2tnfbQ50or5UGIEDPeHWWkRe+FyCHmQNf7I9zaPSe325nn4Ef7RVMQVuSSM4AGtrx0MPPXTQRUWnZ/Eg3KGbNvD18MMPX2v9eNc46BRMTnjRbgy/2e1V8F2ncM8le7VbxxczWHDvvffeg7k70AWjEFiKtFKhopqYpohbbRibZevdK6uCWdt/XZ9lpyvHLHIJPm3KtmQ0p8AxGqYk0BgwJbNZJn3kCLd45PCkOMo2EbwtUQo/KWTCYH7gJWycc1E78JUJKcjg2Qwz7T0bfIvvsukZdjnMRWzDgc/6Qf8it2hlAfVPYCkGBpXvhDRj3/O+dzAZYS2T3h6XnMCc35zbFFmfy18FH1yr8gFNysq5hp6UK0e2P3xF2fmjIDjo5mXsaL5z79q///u/HwZeMGYY5FhU+RCv4M320W05e3QGA1ziT/PDKwwLr0BDY9cy8I0hq10GAe6VsptrpVrw3zsqM77Do9/GaZEMF2XlRE3hSzCjZyj2suntu4xX0PAmg/4qFjNAn3766UMn9IodTl0Bng4jwnva5HRUqokP0zVkjSwnz1ttw6CxgOtbFDp9lH41DrnAV+DYbJSx0yPGw3+NUQmpMmuLfHyJh/F7Bh548YnrGYzpwiLq6Zg+05EZLfgGL1bdkZNWWai5dGaDRdzzZZI8A9aCRfF12dp0JIOR8eI08d4HW8mgz9WRGdjgysgFAxjbew+2gh4Zcvowbk6D3/Cds28cQWE6oIOPOLpwrw18oRUdqH+BbUaqOcpokD3tPdsBPWCoxLDgcaX6PnNAkm/wb/Ah2sJ5mXxwgoWMW5dcN14HNJljVVXoAIb4ruw8HNDxHKGCk+iPd9u+kyMf/j1TpUmVZB0Whafcs55UjUG/wQ/YPvzhDx+yVcmz+WjnedfgQpAGH9VHeKcv4a6At2fTg/E1uKsOgBtt2DH4o73ncI23VDaVmHC/rH6HO33mM5+51gborqnfi+/pxw996EMHn5FL6431C2/CNZsNvjkMyXLBkbKUre3xXLorGwsN0UQf3k+N7rtu4SeOCT71DHskJwovcUS1oRdzVvwmb3jFcw8++OBVgNM1fKZN+5J7TZxr9AoZYhcUGAUj/RG/wkeVGFWo+qQP8Hmypq8SR77T/+aC/+gIbfE33Qym7Cn0BAPcFXjH40qalYo/99xzB77AlFwa0xjZLq1HVfWkr7UvsI/GOY6cr6pp0YheLYgJ3/Bu3nD00Y9+9EielB2W5WXjkCdzwCNlfelE71fXxzve8Y57HDrIOTSvzhaCX7grCQImcBdsaAtCfA7+7NLsQvPbKhi8go9U96IBeATJ8TF869/5FHBQ0LuqWLQosMhm+ou/+Iur7TQlLK3ncFywGF43QdTWNfxJTsyp6hywV/FkbNfBzlYtuUl3t4bb9lVCyvkMnGpwwINACJ6iN+m41mP4zr6o+hlO0o/uwZkghefQDAyegyf2rHHbvgxf5M2ZSfDzq7/6q9daP94VDjqBqEyB8GDUNf5zODF+zk/GU0S9pPwrc+/eOujtO6eAzg5a2VPPUYqEpShrTnLjZ4w5xGmzuhlzlEXR/8q+t/9z+bZ5V+JLIWTgpXSNV8Yjx7w9eTlzPjusxvdKtjKcKPUyQ+5nKPsONofEeQ0MQQAzgTaPIm7abQlUTmuOu98tbEVkPbMOar995qAXIaM09v30lEvveqxkW5aiE6e1RxdRUXvEKGL7VGSLWhjip11cLjnm8YrncobLKMJjkXDtNntOYYAt/hQV10cG1WbXllfhB14ERMq+mY/KjDKBGefhNOe8iCz87fvmWwySI/jz7lYHZhQ4aX4dkuO3PfyinUrawes5Cyz4KLtK21PwOYI7n93HmdMSv5yrJ1wXdRUZ38PiykjeZNBfc9B/7/d+72pvFx7D7xljeCgdmRNfeXTy7TN+Xnq5Rhf4J3OMM4YZ3vJd374XODIuvjB2sk2OtHG9iho0LLhX3wxbPI7eGVGbTWhO+krO07N4SduCAuS4Sqsy6OkdOjN4cxTJMNxoWya903VdB2POZAHHDZYZ229wq1BQ7sxolSnIyCggmxHKyAgWeM5JL5NsXN/1WVZ/S/Q9H0xlfsFprUQbxmaljeaS4UNPoANZZ6AxjtCUbDI677///gMP3/rWtw586i/DzRzhqqxvJeAZUa1H0aVAiTVF/57X1vUqMDIoy4yD1RiCgmDOwPdZgKAMSlkVOPaaIboIzDlg8FDWPn1UoKFtQa2LlZ92wGI8Cy6wMNKtKR1AZSzzwrPwDGbGIP2oHZkjM5VTakf3xktlys0lmhecylEEa0E1beJFMBubw6+6Cf9Z89wHi+fQ+fd///evtQF6yS77bl7LQWfbwT28ctA7uZrc5aR3fgtHoQAP2uPx+P8MW5UkaKN/65R9rZ4TqNO34Io+0Isu9M8WRGs0EngHk7WWLJYhLPutr6rKXGO/lLF0r8ynueKH9m8Hq/7wR5leY+JJ/FngHPz0cbLd9o8CreQoPYbvC5yxcYLFM/DWWoMPswkrH/echIXKDpWMypAriQdD+83Te/i4fgoAp+sKCBqT7VAgoe856AVvoxVnEwwO8MvmJKdsGbINBrjkQHLs2D2Cna79/d///fGKLzTl/FmrjJfNjU/gqix9Gf1L+jF9j069crEqVHTwvew5fingiD/xkj3dtdOHMVtfz/rRfVUL6fISMwUw0hcFQfGMtau1GP04vP6sKwK6HPS2Zip5Vz1pCwC8gyOdyFYVNIH/l1566R4V0bLkcKMPOEZbMklvhyvP0+WtfTnlnVlTRrzrPtkF+Uz4A285KNP4xqmqqkoVQa/rvAXornDQEb9MDgZJsaxBiSExlXZlHFp430zhZ0QgoDIiBi4mqTy9CL7IHybsj8DWxvcO23C/yBtBILDKYvyVnfQ9B5AxaS7mVTY2R7GMwGbRcyr1kRLPQc45yuDu0JFOy3Q9J8kcjZkBpI/+KkXeki7PrYOeM1f21rMp5Bz0aJDzmCLwe/fFN27Rr3DYdf3loHOszZtxGczr3LlO0CmjyoQIqgxLiyZDlKI1h2gC5xZSc0xJGD9YL8EcvYITLl3rNE1Z6bNzrq2In78UXM532RT3Ks2qzA1vcmIoSAGfFsSCC/i4yGj8khGQ4ee6NjnHlJryP6U+4EaTgmFgYDiInFqsXLeQwUPvQbdwMTAsDuug5+AH25bYJ6fBG6y1LYtZdk/kF4/BbZleffzKr/zKtVaub6Z3vhv3M0B/+7d/++qAszXe4Cv85uBURVF2rgDYVsGgJ16gx9qf1wmrHJV0ImOhMnX0YvwwuvBx2Y4OhqlUzbzBYCHVjt4kd7IE9GlyBr4ytDnzlQO2jQnMBcZyWJtfMtxv98t+488ylnREmY5ostUeHdST8x++Vkd2zZysVznonKZKaTOSgyEduQGDggnpZHy+eCtTF03RpzJDn8mv7D35qvy5tcLzVVZ02BA8wL91ioNJphljjFBGnXWP/sQH5LCscIEGfRurtSq8uF5mq+1Jza8gG9pXEYM+7YE1npLHLRUG9wYttA8/4BL0xEMCjcbzvlxrQcGonN2eKUACzpxgsKNPgQBj0nVgxPcMPb8LQOFL+o+h6awTa4g25oeXPQ9/gvhwbz769t1YjQuGglFtB4gHolf3zaOsPx4SWJC1QrMy8vBOdlSLXWcD9LuhA9+oj/Qje6A/dEcjfND2vHhYe/iPXwuIwPNZP5Ib9O/MgzKISmvJHxpx7vAfZ1CfSqhtIYkX6TFZxeyIMnxlnMk3R0bfSrDxGXrnpLQHuMoK+liggM5N9qseatuMsfBU+jEnz1xLuNBjBf/oBePir+yt9I4+8La+k4mCTTmbyZM2YGFDs7046OwKclCJuP6yP1Y/6qsKU3BlU5U9TxfBOZsuezD7Fu2iqzVKUEt/+CLfIn1IPgUewKZN5fmc0q9//euHvcR5deq/YIzgD0caLdoqgQabQMMnBXbDC54D9x4YV4DTHKqCYfOlR9l+5gZWwQKf9A98dHaLceNX+rXAjMOdf/7nf/4e59UI8qgWLvNeRZm5drhg63e+xSbwOp8KrvCZxI2D9MwNPxS81x9b2z/HnI0o2GkOtlGhvWy6/efghOP0nL4833pZYKg1qCB/1R1w6ZpP/AsG8OnDq9kETau4ay7XvcLornDQO4QCUgkyoSsKvg5phkEEyhBcgyElnVNu8RRhEblUwsIh4YScn5EVoVj9URAMVAqegwUuwlEWNAe6klzMqJQieIIB83QgF8bajGK/M6w2Y0sRthcwRQSGFFDZCsKgH7BRwhi98p32YoGhaKkxiiimnJtLJSc56Aw5f+gBlzlVlRImGBmuKaMUvGdq4x6FVDbLM+bFWDOnnsl5zXgqGLNZb31Vau2QD7hCow7A4DzUN6cmelJQKeMNHGygIUNunej4D5xwnRPZIWfGPZ9Qf86e55xnpBVtL1gAHgqwE4JFIf/u7/7udTy6/KKfAiU5GvhjD9eqssQi9NRTTx3tc5Ar30dLMFj8Kz3FdwUVRJzxVIaoeVr8MhIzMOOBggfhbwNCG2DJcIiuTnf/n//5n4OWlfPdOOivapEMUKe454jQKemH6A+nObDost8r6U1G0V2/Fj48IyP4m7/5m4eOVH5JR3a4V1UcFlOGhraepTfSjWhFvnOwkq+Cf2Dl9NCvDBDwlQHQL5qn/8rApku3AqYF3FzxMzjSn+EBj7uewVTpffuc3c/ozeCqHLrKogyt+sygME/yYL8g4wPuOGStNfopYGicdGXPM8LWCcvhLoNQsLWMkDkwwNAvJ73ny0ZniBR0hK/KMI3P0NRWEI4T6vRqQQXf/f3VX/3VUXaYYWN+eMezZYlydDMuV2f84v8UAAAgAElEQVRuJgws/nPSmwdc+N81hoPTgYP4ocy4Z/RZNUXOB5rSR2wF/xyjXksWfOkl8yoLl/4vY13FQZkWfGl8Tr/AsDUJvtAi5wA/V5YPZr/bRtAa7Fnza09m45pPjlNr4jlwkEN+llN9GJdTIJjBidqABNwwxm8c9LcdvISOcNxbLOAVTcJ/fB2PZWeU+U4/4p32d/v0zwG33cC+asF3/EvW9F0gSQLoF3/xFw+9wObCn3ipgwurCsQ76RY0xJOe+fKXv3w4PwUrwUn+zUf7HOF0ojU1OxaM+spWwzdsQHPJMcVf5kpvF5DLqeHQ0ZX6of/xtQAeewp8/gumVXlUAiF932vW2NwcdPuh2RqdqaB9p6tXOm28HM4ClekX8zWnMulsDzikS4ypXzKhj8qiXS+z7jk6AVx0RnKmjfl55t3vfvfRHwcS3IIK9k2zxcxTdS+9g7fA3Jkj7dde/ZddgwZbGds6aD4F1PN1qnbI2TQOGnG2O18Iftp2WyLr/Ko9vzn67Ehz45iyI3ftgY/4JR7H8wUSwdbWSOtJdIZPAQ+4r9pEwILupLe1s554VvUnfOMdz4EHfchM59DguV37SkK2dnsu/OWQ4/mqA9KtPvEEvnUgoTMEOsQuG+m6VxjdNQ56Bhsmz8jI0UXMysUSgu5FyKL7hANxRFRkChy8RblyzvuLSTMKCR3DU+SPIYPh/GUEY/6MuHXs3fcs+JR+ULIpj5yhorIYfoU2o24X665dATr7vffa7kfGtD0HhxaDyp3hqr36HXRStMo8UhwpLmOA80/+5E8OfKVYUzg9GywUVs7mwud7z2QYmfvZ0e6ZjKUcWJ8WF7BTNuvgUgzaMzLN3V6TSm5zLDM+ZRfQvqxsGfQcdeOg9c6rSHdR5+ZoPjnF2vebsvGXkw4Gjo4/xkF70QqM+MR38UfOuf70xRlWzgyueM2452qEspDBew6U6B9ePve5zx1KskUfXGXnlmaV8+L1YIUvPMAYgWt43UoXz/fbQtDhfe1Xrf8tV278lSNzc7p0/Bf/3GTQX39IXE5a2QR42+xqZZplOMhejrpnLKDukSv0Vv4lgCOgpPqEkYbf45UWxzIFBWjwd8Zgkf8W+WSYLirABkYLtrI3eqWMNx4O1pxu/eQILp+CIR5v/jmC4O1+18yjDPqemQEfva4z/LSHX7st28wAL+Ckb3NSPimjCVYyoV1GoTkFA1ycDdGcXp/p312XyMo+H3623C/jvgALIyXDCSwCbuZRKaf7sjDkmYyivbXOfQ6HZxg2ZVI6PTpj3zh0ZnTJcAxfGdJwk14CY8GWMkVl78CKBjlV+NGarX3B53QkXKAPPFsTKsOU+Wc4FwDHAwXMW1MLkhTwjn45aH7bFiVjZm5gIlPg8Kx+yui7X6abfvOseYMXvjno5tf2tNb6DHg09p1+7TVpns8pyUiNt41bH+YIhxxEMhjewXdzSNz/O3iAnQCX8IZ3Khsv04gvc9ZzWpL/ss05ADns7CCBGxVeDg97+eWXD5r710e2njHQXqbVQcS2B5IzsLRFpMPaSpJk7+Jt/EM+jYcfjY/Hkjn94It4a+0m31fHp39Wz8BPutB1fRmzJA2nucCasehoDmpyJGvvu/E3GFSFKJnJbvc8u1uVgQCFikZ/OV8FEjeTbF1is8b7wZ5dmBwaD6zNQb+tCQUotK3iCtwCHvQ13ZFOEpD0x+bXXtUDu59sWdu0653kzjYQtKZ/4FaQWnUG3VXgoABMvkkZc3Nq7z8dBwdoke1tHq5JNJmbLRj4gs0oAFxb9pe+2MHG7cDLKg7MTaABbVQYmfcjjzxy9VYXc8Xb2dHRte075o0/zRsfFARAS3KFloLSxsUz2hUQiTeNgdervjQfMqHvztJgu+MH8y/IdA6k0qO9JcXz6Ufzbl3smRJCeMr8JDHgyT+Zpid/53d+51oHMO8KBx0i1/BfJ/zs1O7vS07hH/zBHxwEpug4O5WoYx5/mAwTVoZC6WAgBM5wrF+Cjgkoz3UoUuAi7J4nvPbLYvIcrxy0PSytTNGWwGAuAlOWu7G3nxyWxVNGY0YepmRQEVZ/BCDFnPBsCVHGS1nOjCnwPP744687zdcYZdIopTIhCRn4L+0vdn2FOUW9mfWipcGR0tcWTA7IYNAwICkYyk8bcxPdpLArdfeM6C/FS1EwPpUsdVicOa+jnTH5Rp+V5HcYUgcB7jkC0azIfb8p7g6Ii17hzIKSov7BH/zBY24WNqVCyttbwDYLvfy+Djl8FqTZzKKF6Etf+tLxmPEKNtRPDlCneLpuDngoOUNDi5c2cC4wQpaiU3JbcGQDFebX+y4bc531DF1zPO9Fh68bB/01B13AcbeXZJjBHVrFJ5tFbCGmb/AvwwKv2O4gsyoLyRjgNOQ8FQzKoM0ZxO++4190dR/Pla3vjQpllDq3oSykZwSKBMw2Q4SXyJR+29NWgDYZaM9hGekMOXPNmCvYGo60qYwzo7iAY9kIbTYqX+Y8o6CMZ0ZLY3BundPRa0Bz+ArGgsG8CizH++1lXOM5HZkslk0qC+7ZjKCCMVUdlHlXfUI/+m8bVVVi1qYM0wKLDD60YKRXVQY37sdHGfo5iunIAq9lQHyal/sFsstctcagWwFuRloVX3gE3+CNnKXwkc6Ch7ZeyCKDGw/TFzJe+Db8n+2BcOl6AXy4By9jlmMANofCMcJ9N79sBc+1PtF96bgOvEunmztd35kQ+MK84tdw2uux2rrVqcwFeQqEnXUkHAtGyEKhh4CLtvr/7Gc/e60N0DNNvtu/qzCqeiO9SLbxEtxXeeNeWejapWPQt22C3i3P0SHjssCyq2hS4Bpt4yE6gewopa4UPkclXew5dkkOMZg6CLnAGZ4wrletkosceLLSmxbag46XO63cPDpbwXrawZPmlQPpe3YYWOPpHCV4AnNOqGBqck9eSw609xxuc4A6dT3HWN9k9D3vec/VAXYb8AUvm7nTwHOyPJ8Ttvqx9Q3dqmbM2S9RVYVETqO1jj2c/nUiO5tQMge+yQ/HXZ+Cc9YAfbU+sDkFZtBE0OTP//zPrw7vM7Z+w3PByYKAG7ys+ke/aKp6rNJszxsXDQoKuidg3quC9SVoDlcFWMIzPLK1OuNIKb6tFB/84AcPG9KhsgIkVV/F5yt/xmvd2UoF8LIVwAc2wQJl6/Bsnp3En1+CH/AJWP1x5vld+UxgABPbUp/4Q/9gh5dsV/M2P7LkU7AET7Pz8W/6sQSkscr48+G86cZvOIxXVE9f5wqju8pBv5Vj/mZK3SKtJNhnr6zAIBigVz0VXc/I0ifmxIyYC7OXOS9KhIlypmO2HOct+Xnf+953lAmeHfSczBQupimKVUYdXMuknlnnvOxuWZqyFM2D4HU4SkayPuCifUwp+/CYsbKGS0YJpcBBzDHVJqM3Y7GsTgZQhmkLoPG2GmAd8u2r9pUdrnMerMbgRBDeDrBqHxBBN3eObdlbC6GyrMpDlbnnoMNJRtjCQYGEdzjrdzBsW7TyOwc9w1XbHPRonHFZmWqR3Qw7eMKDorUWfH0yrH/2Z3/2as/nJQd95SQY8Qye2HtOIrXQ+Cs4s/1V5sZYiCe6jx+2ggTuKkHX3/azmc549ywvwbmBBdcyRr12rfcQp/hvHPTXHHR07DBIvALPaFCAZGVw5bxT3/Hks88+ezwn+4u+HAa0a89xOgWNyp5HR2Oi1ZbaGbsy882Gb7kh/cowETQ1FmO3Mr9gJxfxgXkkPwWxyCyZy1EtaGCeYDVeTmi6if7xHByZQ2We8KEf1yuD63cBjQKmzQNewFx2nbH3zDPPHJmZMr8L2wYdk/Ucz+Bd4yY93HNw33Pubfav0u9kMD2Llgxrxjo9BHccWsaoZ3xaE33SpQJtBRs5u5xO+qCsSnq/YEhy7ZNeCMbuV8XA6IuutfEJBrSx1hYALKjrGffhuEqM1WP4k9FVIIn+t//cnnG4yUFfI/SSQbo6Ek3hAw173VLOQLKkD3rPuFUlFJTSln4vK4uv4K5gdg5izsYmIFpfqhYp61vbs44EAxg56J41fzICzqqtblWd9ma2091+PwfdGlZ1WpUOG6C5pB/xnTUX38O9YBW5+cpXvnL1BhZ9cU7wJlqXra76IR5R2ZHjVzYabslke20rqcf3+Afsgmra/PIv//LhmAi2FXSKZ+jqggeudRBth0K21QZMeMe8sxv9LmudMwy+HEn8jA97Kw7HNXuRvWWsgh8biGzPOHy0tcPagD85wgLzApnsM3iuMqgsbTrcvYJzZcbN37VwDI8FPcxnE0/umR+nXHswFLDIviLraKuyIbjIk+CLc388xwbj4MrweouRAE0noCt5NwYfoXeZwxtnM/2XLvMJZz4340vXtkaZnzF7AwXctC/c2oLfquzEf/iEbaQdvBeQMPfwb++5tmD2pzqu5OQGsteuPst+Wybyf8Ds1Z367rWd2bCeTZ/jGQFEfGgdKEhPJ9KdxpfVhz94DBcL19rcBV5aM1rfz8H44EcT64psOVwJNFWB8hu/8Rs3DvqdKvmUq8ghYwIT9Nq03YOQkbiOZWMq8SJsGLhD3Thr7fdZ2FLgORSEJCNLO4qm6KTfom27nwTDlLF2X3+UuyicMpUcZJ9FHSkJTFmA4IyrzcSuU3spI90iTND1X0aYwko5M34ImL4q8zTmwh0MGbBgrEzJPVnXnFp9BaN2ZdDrYzPqxlxBW2E2PngtMJUutXcVXsNXznCLiXEqJUNXZWQUGGVFMC1qRa+1LctBSYNb9FP0rnKx+CoHsz1QzafIW4ZxVRU+2yZw3nN+pik+tKC0mJq779FgM9kWFIuD8naKBc+JPuf4BMfZaDs76dEheM1PRFEQw595rtGaDBQlxVs5ZmCAvxwGz/cd/squbSCpCH14Db515JtD4yTX2thz5dyDys/w0o2D/pqD/md/9mfHIidoyACoIgIvVQqWHOdEWRxl9uBRO7q1xR4vkDnPomdOalkV/EEu0Zt+zXmp6qOgWydyR9uMY/3nxJAFDjqe6oRii/k6rxkfy+fr/GXsZCRmhG62xbUMQXCmcz3jeg5ar9sy5wKl6citHHEthzGHnw5g5NnvRg9sZm3hLbBbJqsgZHogWcxoD1/JC/yDvzMiWpuqVtKuAFrGInjxh4Cl6ohwaY7oXKWFtRGuOOWCmbJ2xmJklZmtokqfZf7Tc8Yum2E+VRq4Trf3BhG4CycZ4dqES/cL+lQdVqCjMm5tGZoO5oMTMMO7Sjm6ogo17dYhy4AM5uhQZQK+tY7Qtf7ISQGFeMr1nIsckvSf/ZdVrRUoK7sFl60ja4T2bM7i8n/8EM3cy/bQ3trAgSD7DqvLeBWAvs4Zoju1DW/3uWzIDiWrRDxbL5sNryVb4Rrv4CWlsXjfs9Y+n+woskTe0QEdc6oLZCa7P/zDP3xVidPhWp6nV+k7a2yOaNtHyqajnf6dYeRQLwFM42xyCC+xdapG2gASfumVaQX/cnTZhWf9mNMJ9rZkGt91sghO8lZQsveyZ4ekU4OhilRzLbmBVx2aTBdUlh+M+oH3zcLCDweb/LWFIBr1Jgi/0aDgLnvHeHS57KnntYW7To03BjjhzzVzI/Mf+9jHDntDX52rIgBo/DK3cMkm47DjD5VfHXBmnGS3BNlW9oIz/WmM7D04Mncy3Nkgu65V8eH5XitMb+ccoxMY9R3OzE3wwZzAp6pIn4KX9Hz0wsebMUeHDQKbR2cTgRdewfjoo48e1QeV9e9WiQKLBQxL9OAjFUnWlmzEdGRrGvqBp+q47BHPFpgKp37HD8mee9m88AbWL37xi8dappqg82JUHl5n/XhXZNBFwwlZzhUlBdGyoS2SKeycdArVATeYF/M5xMAfZ4xRUzlSJcWYnmBhgMqSKBIC49+Cq29tUh6U6WbcgyHDyG8LwGOPPXbcMgZFkINOIBOKyny0y3nJIc9p3WyVdgt7iiZjKQdL/xvNM3fKtyjUZn9y2Os3OBIEz8h2oUcZ9IRgy2vXSV/HPycww0L/mzkwJ8Zi2ah13sJtznu/M6jQ2ViUCKVpsYITykOflEFj9RoS12Xff/3Xf/3KkCvIgT9836x9PNNiVICh+fhsAdFmn6/UKKUHp9ru/vnmlHPhHmPA4sxQEHGG/4985CNXUfJLmaDbMV4szk8++eQR1d+SyYId4TIezAGPJmUTjdWBg76vAxEc66ifAwmXYM1Bh59kyXtTnRdBFsHLMLhx0F//HnSBKPyanOIdiz1aV9VBBuifgoXOIFBVBNdOHqcDOCNlHssCoFOOPbkpwKTvAnMWfHyBfgUIfbpWYC5HDJw5ckrtvNpL5paccGx86qeS+gJ48VcOoOu+6zfHLkPUZ7os/s1hTJcWzHS/LHqBh3TkymM6cgNgyYJrIvXgsH2GHqqaIeNUm5zoeNvYOasFBDPiyvi3LoQT8/C8z4zhPqva6Xf7zTkXrSXg9BtcDKi2Y5W5st4xqOgH/QkACebhgdYY4+OFMiOtd5XObpVCAQVz9V/FgPnGs+1hzFjTXxn71Td9z8GQ0RIEx+tVR/3xH//xUQXQntR1qm9HPzLo6Vpb09p7Djc5xgWIMyAzpAsCFFCJfmXZ19Eu2ODZddTPgYQzvDlY8Nt2CQYoQxzdzFuf8HPdM0S3Q4vvpE0OuhOmBS7oNjTzCkFVWVUS0hN0GrxZW+hDuESLf/qnfzrsNplz+LbXXHv/ZYDB6Bk8WHk63Snw6BMfdigcPmeDoF/nfpTRTmY79wI8HAhj40d8Jxufg47G4CaXbUPKNsQnBcvLirdtrKBtiQ+w1L5zHgoi0R/6pzPYLWArMGgsuqtKEuszOymbMX3nt/7Z1GBnwyh1hhs6pOqX9E+OaraWeXsebdLvxlkbMhlEE3SCW/Nam0V/lZsvrtFXAgC+PG9boUCEufvuD7w5yRx5PgZ9A3Z2plJr46E/3ujwOffN09++Kg6MBTAKKBjf97LCVe7CB56Bh3DkU7+tu+kWMBofHHTzX/7lXx7nJMBDrzeT9ScbJe6+Xf2InmguwdWamnMOfn27ju/Tc+DCK/HaXufL4ev05q7hrXnBeA4kXNKPYAEH+YB/gVtbGRw4LOlq3mgnwHDjoN+hhk25cggztHLiKAtCQolStgicUrCoKr3wt5lz/RHayrXXSc9Br1wH8QgHIiMgBSVqBI7to6mlsBE+WC0ExmB87ms+ctAz8lI66wR1r2uY+lIGvbFievBvljpHXbv2m6zRmnGY4Vk2N0eyecEZZqfECPzZQW8c+Egp5oxt1jvjNGPOp7Ez2MparQF8dg43wx7+LTTwKkponi28lD/Htgiw9njFdWVbxpNtEfQp2+LZHAUKBS42ELFl6+eKgBTxJZbHC5s90aagQc49Hqs6QmkQhaIKxDWLgHlyrO2D8kyHcd2OiG0UV6WBd5+vg57iK+hUpDkHu5NBz1US0Xmd7+WHnt/70besZfAv3bcscw8mtMCa+1vd+ISzdKRIcIsa+tCPMoicMDxnn1gHQlq00Z8DKbiijb8i/znR5KxAkr7jN2312bkcwUGmGBCVXJdFz4mshC8HLl3DsZDV1a7AGhi3mqUMR059gYAcIDxbkDJDLaO3bEWGS9UA4ClT1TNV8eT050yabyX1ZblzpOJZ+OMc+VRuDP9gKLCRHoOvdcjK3uonpz2dWaZ95+J5RnQl0H6Hl/SJ9u6XIWxe6F1Zu7Z+G1fZe3+udyAgI9S/jBI8ml/GD2Oz9/eW7QB/QYkM6J2ra/hEH8bNqMxx109B5fCbQ16GrFfitSXJ64YYWhyYtqPRm3gJ7Om1WwUz93o8xxhGAxkn37UpmAM/VZfFEwWi4RNO4L+SZ3j1fA5PvJuB2r3GyHFonc5Yv6QjjQ93jFt2UA5cuvamxP3VQ+K8hQI/wGXGOR0o6Gudtb6gb46sE9eVleM1jjW+djYDWxDfo7++rL/4kKzloMcL1uveH07H0pecU3T3m72SXOa8lBhoDUZfB3SCP92irX4KKPiN/lXzeLbsZcGfHKMcsgI4eKrqSPo9OzGeKyCFN/VB71SFZ9wqB8BCR6f/60sbMqUfstEbLuz9VfXS1jh4rsolm9BnuhXuwFDWO1uts3/QOBz6ZLvDZbKt762wLcjc2xaqjpHo8Wpc42ojoEMPqF5oiw95kyDkyKuMFXR473vfewTIZNoL3HgWzfAMHFcZoB86smBJ66Ex4bFT+TeDnX70TAGZXfNaQ9rLju/6bq+2JBS/RWm+6w63YwdX9YEvbkc/lnGHbzY12xkP5D+0XaNSe3AU4PYp6AEnnsf/q+viK/2tgw6u4MNL5wy6sde2XV8RjMZg6zsYT+aeXBbQAv+Ng3473sOFNhmf9vMlyO3jJmx76iBBk7Vg6NnjYmHGDJ26XsYIg1XeHiFjuhQrpbil7QhYdB+TxwyYMCe/Z9unUTkNxUK5ZqwmdOfMKQYkLPXTJ0bFTC3i2lTet4osp7KsTw5SZSnrDG6GOsHPsS6bAc4MrOZLsGUrvva1r129pqhT6inALTs/VwQEF+GiYDKsm8uW7BeIQJ/K5y9l1TNofeqfQuSgM5D8Cd4IflCiFhyG6TroFCG84Zs/+qM/unLQt0S9BRPMHf7XwuH3OutnFi4aunv/yzhtJQAa+W0BCw8WLJF7fMJQYHhS8O0L7hVx5zE3iJOhq01Rze4zQLxZAK42g14AoUBVB8QZv7/NZu0imqOQA7KwlQHde6tIa7vXWpzRyOuCVDvcZNBfT/F10NEqHkHvHAEymkzgKbrRwmWRtHjjT3yhfdH7zkVITivXREeygLcsevGCaxlz8RBZp6dz8nNQysC2dYXR9dM//dOHIZwTb5Y5QTnJBf70k9NV5nmdH88WJGhxx1fGbV454GUh2reZ3iwzmQFa9H6rCNKRG0Ckf+gd5cZKINGnoF1B4ChYcA+f6ysd6X6lsOn49rfXNiOmMvAMmhzyMj2uZyzhA04sPQhf9DWZ8l1Ams4pKGbtBI/MA37hsAsKMm78FTCBF2sdXgJze1cLeMAjupWpK/ubc97WIHRpLaKPOkApJwRc2qITHeofDgSe6MSf+qmfusouma+Msjc/gH0DScbf4OEafKsjc6SsHQWwgrkAf3Q3507+X/21Bm/fk6cyReGj68FWUGMNz4zZ9GIOPTjYPU4S95xqQ23M23kx19kAvUPT8LYfSz/af9r5Cyp1ChIln+75/ru/+7vHtgYZRg7kK6+8cmyvpIvwd44CR26d0Pb8k+nKrp3YXpUHu1X/aIWfCqBo6z/+Js9loXt1r7b/8A//cDiAZDVZyrksoIoP3a8Kzie48WSJo/SZ8TpIrsohDmeBhIIVPukL26eyEX16pvNGsinwIx3byfPGreweH4MTTq1B3qAjgGmOJUrA6NlkBY2SMXDs3vFOXdcnXVRmOr1T5YD5V7bfdhn3wlkVAX7TdfQJB73DhiVu9P8TP/EThx7lXPpzFgB8CTiokvAaL6eZq9IAA31aEBKe9V2lYVuojG1OZdJj6tUJ8Gl8a0owdwp8Tq7x9I/+nG59pof/9E//9KCfigXt4UBfcK7kG107yM/4rZfBUsDF7wJM6AQWNiG7rLUr/Zgub72GfzKH9vk/2SaX7D48DI78nvotQOuZ5DDfzbX0YzpTHwUx2LsSpeQQzfAAWl73Ksy7osTdITVlFmLOdXBFQEM8Qm3mTZknIe/U1CJQ2hWljMj9JlwY3l9l7WXOd8GsTLLntj/MpF8Gm3dfFljA5DnTZXC2XM6YvV8QE2rbKzhy3tapbUztil7F9GuIVEqYg5Tx6zdBqG0Z8/3tO3wTcCeXOkyjDPp5pSzzU1lR2VaLSkKVIdoiVR8JpN/w3O/KbSvtcX9P96xMCB8QOkaZP4rIs4yXTnPPkO/AMbRm9H384x8/FKu+OgXS+EX1KlenBMpmGeONHPQ3syIuZduL+loo7GvyB0aRWfOzGPjtT+DKHINx8RhvrsMerd2jsGRXzLeFr8Nkcn46JA6cFpeCZOeKhhaeaI5fllbgy6gsm768mSzuPsDmUvBAxJ3RbP7+bjLor2IoA9R5Au0Z7JTo9lnlmLrPKPJZ9g5+OWP0KprliLaXfDMw6Is3yLL2yXY6I+O04E5ZXXDGDznxZWoYhNr90A/90HEoD/kCU4Esz4Ihxyf9Qp93KJ62eEPfZUIK6Glfpjmne42+vpcxyfnKuM0Rxm9F7vUHnoIaYG7ujBBbBcgE3V9lU1n8sgnhucxH2670o+/2yic38KBtToHr6NDv4AuuzfKai7WhjEqn5bomqKkfOtOzwWVOdCSc0T2cBkaoOZlLh9/BT85+5bbpSHMFZ9mr1YeN41qGVfcz0D1P58SXrV3u9+op/ANuv/EknWkuKtbo8X/+538+YPB9HeZ0ZoHvhQ28bZny7mB8iZ/AQXboQ3o6Xu3MB7oYjq1vBa6amzZVJOWcgzv+KyBfACG4ctyToQIKGySFI/NVso1vJCgqMXV+z42D/rZ7bHnA6/AMVwJVaFIQXaBSsEoJcNWC+Ibu9O5r/JMN6T6cFoDEG9mnVdypvOAEVTUXPfBINlsyirYlcLKTyKaxrfkytBxaFRLgpd87CLeAZnorm8Jc2bD4QXvVpsmtZ8hqTm22oDlyHjfLXqAILiQuylhrY07ptwK75tIWITKWI+Y+nYg3VQQ6iNRatGf/5JgW1EjnlXkme+QrZ70AVTJWgCB9Hw6r7kmnlzzKkYRTgQLj0t2cbHrc86oX9Os1ZZ22nuzBKb3jIDn46UBJeEH7dD1cgR09qgBo65jnwFOl1OrAdH92Vfc2QEeX58C6H0+Zi229AgyugVOpvlcxqgbwbz4OeEsvZjPqJx/Dva0SdQ+8+BQPeguSYEVBEGuG4GhBKvCRK5/whYfwWXZ4ayoHHp/HbwWZ8Fc42nU8uFY/gonNo4/Vj73+VcAMXA7tLih285q1NxMcfAUAACAASURBVPNS3uB+xqcT2CtjaB+6xzA9IWNgUkIW5ozGMueIW2k7Rl/HPkW5IBAczI3ImKOoKcEiRBlnGQtn8DNWW3yVVyu5B+c6ZGuwUiAUfuVXwVjJaEZphmBOS0YrWHPQ4SkHMsHq9Mxg3ueC3zXKsgjXRmrBZoxzBr1ILnztX/B2rcoA8MDhZo83OFD7DbBkoKekejYHPaGEQ7QxhqyHP4uhP4Kp3R4Wt2Xu+EMGnZHfQmucDTbgowzG3Zeu/1vtU3cvRyS8xnNwmXKKl/GbxdKiLFu1ChoseFwpm4UAHi3KlHCnceaMbxDJtTLpXYdfUcQy6Jd4Od7ZV1YUEd2F4rx4dC8HPId86bgBjs04ha/lpYI49kq359ZCB09v9VcIwVM6UrBlqy/QpYAY3rNIomV7wlxr/2P7aOEUveKXnAd8mhFUZsVv7QtE0m3tj1v6bYCoxXSd0zKigmjKzzqIKHnb4A69CFa8WWbG7wIRZU/AlOzmGJcZIDPu128GQSWWyYK+zLH7GYP6LRtUJt8c8Sa4GHb0jsBwJan6SrcWbNiyxgyksl/6QrsqjSqDzYAlM2S4+ZYpSJ+ULeuMjDL9GW9+c7ThE6zwx3CmRzrYTFtODDhlZNGFTnK/8tfwuI49HVw2vUoJOM1YhtOqAeKTgrE54pXjZkhngIJ3D6dk1OE7z5lD1QMc4Urxwa1dxv1WZzX+VmSU9UIDcMimtfczozLebI0MhrI1yc157Vq+z0lfR7x+4SjHZ3ViGbQNNNSPygbGsjUCr1XCe1Pi/mqJuxJ2eEEja3+ylg3pHA7BX2tr2UcZ68ritRMMwvvZQ+iczZF+LFhEPn0ni3QLuaksHb9nD6zzk370nDY+jU83qsIUtKe/41Fjp49c039ZUo5Sgaxsz+wJz5ARf5W3mwvZAiuZKUDY2sCeLrHSGpE9Gl+X/feZ7kwmwaMv9rAMujMB2GNgg4tKodNpOenJfmOBIWe6THRrQjrap/561u/ORDFnsgEudDRv61hVjnSuazlxqrrc58jiG7RAW23wDDw6m8MYzgoqYFJwp4BCukBf7BfrXq+Nc69X1JlngZP0E93Wumic1mn0Sk+4Tk91JoIAjYBOVbAFS+DKGiUQVVDgb/7mb451IEfYuJuZrhot2zs+ZYs+9dRTx9zDb/SDh3iz1wAWnC9Dnm7LVjzrxxJ02TH6LkDZeVYLa/pxbcp0Jdl2Ton5exbs8Op1c9c5gHlXZNA56C2sKRvMaBFleFbCRnA46ZwWSM859z2jM0EkYBgoZYvQhN91pRstxhRz5Zvr3BeBv+Tku4bBKSrOuUV+/1Ypt3fa/QytlMg6P2WE4CFc5Pz4ndLRd8o3wW9sSg9cW6rdGDlCZUQIU5HQdciUgytzz4HdjHPG7dmRK5p1dtzPjp4+zano3TrllcPWx5bTV37rU5RWOZJ5WNzQTPSu0qRKe83PgYEUrvHsKbK3u71NYKuCQT94q4XV/M5zyUnvs60PZ/6ITuAL7ujpN8UNlg7zC5cUij+flK8/Skf5nf8CFOsQ756rcya9DHptfO42g+WjLdNdI6LDZAruLI9fctApRn2BcYM04boSwNcJy///oUTLH2fBHx6/cdBfn0FH4/i+U33JUHt2yXgZJMYeuWzvWPoxPUP/5ehWAu95Y5DFnJKMvPg850rfqyMzJFxPrsmKEjsGDnpW+hksBQP0qe06V/iwks4cV+PFQzmrVQqAE09ngFXWaU4Zer5XKdO+Us+lvzJw9Vm/uz3KNZkTe1UZywyT6LHjreO/2Y8MpDU0M1oK+JYpL2sHl9pkRNEh7UveLQIZjHCpXF0GJf1IZ4KPbrKuwmvGIz7hvFsT6aZ//dd/PfZl+6vSBg9l5LSlAS4yrJJnfNOhb2DMafdMRpu5VOIOT3uIFZ0LRvNiLOfA45P2vpsLXpIR9by1t0MRC5CHn3gX7oy7wRhBUr/tLRU4gj9wlkk3JtyDx3VjmNs6FNrADXjL4hWEyLHWfudetQs6g2sNZfO1nm31UTzDQbd+cXpUWLVm3Zzi/qqD7oCo5JYzIlsnAAW/nLDeRIHvVfM4FLGgG9qWOUZjMlKVCPrnuKNt1RUCYP7Qx7Po4U9f6Id3snNy8ltbyzp7BoyqIMDUeRF0QcEvfdFpbX2LT/VlDViexvfa4a2C5GXLtTP3MujKouNVznl6iC0FLs7hbvVIZ+VI68/z5gvecM/+crCYyhZreToH/gv0bYA1h69qLDCm79ehq+LLHK0D6MCRb91xvZPcC/K1B7pAWxVWgqtwTvcILFijyBTHtpJ8+CHTnNv77rvv4CdVAfZ2Z++7j1/QAY8IGpTkC8YNtoGP7jJGh0kX+E5Hac8J1zbax4vZz8ayJSJ+SkfUt3k4S8p9TqvtWOhuja3aqjW6YKO26fN0pXkJCnoenvFDlQFVDwhGwAOZK2iSr4FmYKLT2qO/QZWC6DtudkJrQXJFtsg5eq2tqz+4U62RY+4Ee7DyFZ944okbB/2SwX071zaDHtJjujLpnEXZwLKuKbVVhgT/0sFuwbBODcXHGGnvTu8+L9qUUbFGxzo2RQzbg+5wBspnF9oMBQKBMTEzIQM7Zkwozs7epWwzOIxPWDdjYYx18DEqhYTBjak9WLfkOCN7I1DgLtrrGQfEiSwTEEpiDxdaZ3Szzyk+ihCMCWiRWP23L8j8t3x9s60ZOinojG7zogQqo/Jasv4YWpSpyK2/PSyOg+6gLPTRLicwJ93YGUPhxBhlpSnfStKr3OiziLoxwet6TrtraLNlbeavBIjhaRHtr3L2d73rXVel+71ig0LCnxYGSpuhQfEYe8uV6msz7F41YW87PsUrZeTbq5yDVpl7h7DUlyABOYnmfluk4jkw5CRtFnSzS/pqu8c5sFDVRcb7hz/84WPoKlzcV7Z4naOft6PjvtM2W+KOV/1nJHWAkUi/BSo6VLGTE+qzBTZHGH7jYfzr2QKPfmeglZUlKzls+kgnlqHYKqAyABZmcudAT/xXxYt+yhDrK+cUDGXLweZ6+lifBbMKrqYnVi+Rs8pQq0RaQ69MRkaz/jPy4DZ+TGdnOMbv9p0r+dOOAUqWGSZlxMq+G1O/m9UquFAGPP3WGrFBr/Zmm2u6M7lP9uu7wEV6iMHJiGy/p9/knh4UWDB+6xBj1Zw4HK7JfAkMmlPBmBwRcytYEN3huMOQckjoTXhdHdk6Vna9e42RwwFmRpixWis68VkpPj2ljw6HtT7BESebDLSXtmB8wZLGy1nmGNFnApmCFGA3DzSia8tigru9rXg2g1t/xmKgxr94vfdJryOfwZuDEm9Hv/T80nmz9fAgyMVBN0ftc2y8XuytrCPTjxx0PNmaBJfogXay65UwZyf1qtbOZUAT+ql912f9WKCzIE7ZYfxBB6ARWMgwemQD6nerK/XbO649x871NiLrcLyL9vgqWOnEdDTboOo8MlLfdC0dnBMX//kskEQf4eH0DdnZ4KQxJMToCfrHnDvUdoOEcKuPgrHk0X24Z8/Y5y+pINlgKwmH0Zyq9CmoUPYZTjrFXB9wF/+nS0owaIum8JBc6afs6m5xza41D7SFL30rC3/44YcPOvhjJ4KRXYkmcA8eYzmg0nXl43BNN8CPhFBBOfMpcFIQOEe4qgWwoHHvafcZr6Zfd6/9zqdECZ3M8favv3jRdf098MADh69krVRVxJHnpOIfQRM6hD/VGpkuW14vUADHKlVtV7AFSBk5nPOzeh0nuM0dH+WgZ++A39rSwcd4j6MPhrUR4wW8az7xUWuN/szPuoWO6XFzhL9sAnY+moGN3Qp+c3FOyXXWj3dNBh3yK9GFdA4BISdQW4ZbaXuRd4TrOUrl7HxmpCE0obGA6h/TlnkvOxlzVQLl92ZK19gue8FBt2CmtMpQ+43pyugTKP8E2LPr9OsX7OesrTZgzoDc0vAc23M2W1+UdQ5QMMNLz1S6mlJJkZn3448/figpgmL88Kwf93MSmm/zzOl2vwqColvGBmdCpU1ZtBzexiloQelmwGSggQc/UEaMSnxB2frrcKNzmbt7hJcwd5p7C9nSs6h3jgiceCZeqPyrIEs4q49ol0Of8mpxZBBQWBnXFi8K2cLAUDRf88NLRQ3hzYJDKfbKQbS1j6rFZWUmWPCM0zw/8IEPvG7bRThvAYyeridj9ZuzvDgq4BDPbaYn+WqxWVguBRPcj58FhB588MHDiQAbhWysGwf99Rn0gl/4sjJjjgYjAP9UHtYrfNCp7CdaZTTEmz7J2+4TxK9lIKoSKoubTKQLChZph/9zanNm8TF9zUG3gKNperOMC/1c1imjRP+Vd8ZH9FF78H3P2cmpcc0zGX2V2/W5/aRv09V+12eBpDI2YErW3WMAMdrgiF4qs50BCg/No6BIFTlVaqVDM6ILCOq/CgA4r/qlbLT2+mYQG7fnjE2XtOcWza2L1jrXOa94o1cglXkzBqdAv/SQgIOMCVwwcsCZo1rQ1b2c84LSdCbapCM7qK9se89WCZcR1hplTgxA6451P/6p3NccyjaXXSzTHK5dty4UaJRh91cwAm7T0cbnGNE/AhO9CQGcVT1VCVV2x3Vw4IV0pH7aQ5/ea23dDFUBIv1nkGYLtEa2/u1zyRncgOPLX/7y4SjAhX84uO4Zol0/vhff10HHfwXYyKY1k0PCoSojCv/sSrgroGXrRw5w24JyBNp2gU5litkTBcU4LdlROa3m2VlK6BmM8Vb87Vm8x0HPfmqbV/xKz3CacwILShZ4X71GfvBtbcDVOR70LR2Al+K9KkIuVT7Cw9py+gS//v3BS3Ye2I1FH9lC4BA+7bUl8+af/UuGcqxam3y2Dz15aK3zG3zGrvqk57PNc4LRHm577Zm5ew4s6C9YQF7hAG/ItLLD/vEf//GgrffZmzcnMqefcwoGAR59KI2XKPFcCbMqEczf+CWs2m7Vwa6dBSRwBI6ShOlH+m4z3PqqAoI+ZvcJxle9wAa2Nggygsf47pkf/VYgG338tt++tUSFgzkWrDH/9Dd8gc1Big5ZK9HoegFtQYx4EI+7bn0xlwLx2hdoSj/ihfwaz5nv6ke48zsHPT+kBGpy2ae5wqt1DB4k6tiy8OUZCccbB/0ONe+lDHrOs4PKMDiB37910NuT08nrGUQ56Rgh5wAjiPR0T98R/ZIDUVYmB22zNGXPCY9XQaXgKCMGc0f/b1Y9Jm4uLcQYOqd0I0u+67/suedy6tc5BN8GB5rfwtv3suqV5qTgUiTwoKSnDLoxMxzO+9BzztZBT3FkGJlDRmRKqM/N9ha0MH60IGjoSsAtBhY89DOeDBbl1F/voCWY66BTShY3h4J4TlmQ90Wey9yXvyhO9+F1s76UgHH8pWiNhfauW+Qp0Ohan3CNz8u6wRHlAVZGscACuhp3A0M5G3gDfVKS+jWWCCn+792prkdX7b1ixh70XXzxE5qvg+65dbTd64Cujf63BwlcGyi6lZOeQvapfVm2IuA5f+Yug9V7UzkJYPZ/U+L++j3o+LGgURFp9GAwZhwWFCRT2uI9AY/OXsjRSYfgCX2UBWRAtTe6TLRxtd9IO7q6hv4W+uib09uWFQ6XE7jp7RZ0xlHvr85oBatxCuJt5tNc2rfduBmZVR1llJpfjlZt4KS+00dlxstiZHynIwuslSUpCMHYl3Fxnz7KaPF7gwM50+EIDG2hyvhwLScVrgtI6rP5L5xggFf/vsum9iYLQRk6he7Sr/Vzy3A76Mw86a+yJwVRGDdownmRoWndBX8Z//Dqd9sP0KPMh/FzcOgR1xmOcOo6vdU5BAxFfRSYRAc6DX18N4/02R5OF0/HB8bJwGvNpG8465W8ds5Mzgud0yn2HF46tIqF6N92sarACtQYqwO40oMFBgo+FYCHr+Qw/vSZk15QKB1ZACcZT0eis7l5Ha1D7Sqzdu2t/irKbEhZ8oJ+7Q9/6aWXDuMcztIzeFew3HW8zWlrW1n81ut20SXeQ0e8QKboIrSzTvru+jrnrf1kzT22SzZqOrwT3PHoV7/61eO+NV5Qbe0b/efQ023GNE/XcgiNo5/2TptH+oeMkTXPuFblEt6KP7N3kpP4uIB8diDYwWCsAlbp9LaAmKuqDnqktw3koPd6MeNuALXES0GBnGp8XgUR3BQALlCMlvCQY46m5lBJte0rtiOhGVtJdtV3OLDFwdlF2Sn0AbvMPVt+spusW9knbNFnn332ns985jOHTZkOKkhXoIZ+7awIOMum7c1TeAdu0IkTjD7Gp7O9QQk+XANDSRTzt7e/igfz0IadLKBgbPqtLQVgQ0c4b92IR7WR2JLRpvusx/pN17EB8JRnHV4o8BO/FCQRrIj2+RcFKuBREKIKDc6zawV1PIdP4oOCoH4XNEunl4CCT/zRWNYafGUtZP8ImrAhjeO3+ZBdZxvdOOjfoYPuVQGV3pY9P5e2G4KwFK1rMatcePd+RESCgcEzsvSRUeR518/Z81tNpT4xF0HF2JjG4R6Uk+/+OgwupxnzGStDMOWj3TqA60hlaOgvB91nJVTnrHWRL+23giCH/xyVT3hz2M4ZdE4t3DHYKOMcWjhu/zsj45y9r8x7cVgEsHIcsJdtCj7C36mL5rjOuef16zkK27+opvEJYI6HOSivAnOvW3PPe1B/7Md+7HieYe1QnfoMzso0fbrHCK/UkbKlWMBfNNsiCucZwOgrkmdR+t///d+r1/boX394uT1ucAY+iuQd73jHAS/ammPKaCPTGdL6sqjjH33JEJEZB4Uw0sGb86Eto46Dvq9PC54+8WQOts8W+Ko+ctYr13M9OT0HIjyPN6KHMbb81e+cEfRfnHunscoNf3B6k0F/TYIyQL2FAI/RGfE9XrMYVfWBnnjEJ57CO3gp57YAWFFq9Eg3tj+t7TH60H6z5+fodVB2vQwhPUFGROzJhleskdkcpPZBZryAtazwZqzLmDdOuiQHtgxBBqv+Orm37E9OcXPOqArmHOD4uYyszxytHFDjC6gxqM3F70r/qvhBr/bv6zMYwZxRWkloMICNTKQjyXHBhZwO98KHOSqxZATRzbUpyAEm+E5nVpGDxmTcuDmXxmUYOqm4bQ3eiY6vMubTF1U6+F2GkBxXoo2XXLdOk2H0oOvADga6zv54fGEunqMz6FuGdEYivOEJsFVqn5Fb8KjKCfzavOOjKsXwGaNYwLnqEnTSL7vBs3RwjlYOS1sTfLaeFjwps9be2yq62pvZae61z+hEf/Oq8iUDFMzZMvAaLdG/gK3SfuM5H4BcwXEZ3Ld6EDP96LTmsohkguPNCZPNxWPoTyfEC2uXsXfwk77ICJ4usIY2nAH82pYh9/XVOUh485yMWRsoOQcDuuFLATBnKemLPiGDnDZ8Qa7xWfTHM/Q6XtFXNrBtHmv7Ja/6aA2Ij/By++mr6CmQpX17v8G9CatsiuyEgrTgCPfWF+OYG9tNxRR8adOJ+uwQskDu2o+ew58s6ANMbc1JF5cJT39lK2WTa2e8zqcQFGbz0SnkH97gyXN0nGsSNa6Dq9cy5+yRr8400i8+wl/0qjWX408/4otsZzwmCAB+vCX5gq/4CuarUgL8bFQOf9t1lJHjC7DDFXuOk85hxxvoIjPtnK5sPHjD68Y3T/hBb+NqA59VDpdMREf3e6sK3vVGDHwoy9z5MAXwPY9eXtUGb3CTfqzirs+qO8DQIbV4WHv45aB35gGcgH0TdunK1osqeM0DvXLM8WaVgHi0gLCAiuCFswIEBfyGd7L73HPP3Tjod+ifXwm4yDAmQEyOrwgi4m/2POfcWIQmB3ffW+5ee8SDqf23lR52HfHb/5iz2YFyldFhgkpOXCuTUGQb05Wl7LCHHO3NeBbx87mZ7YzHokbBRnGU3S5r7l6RVNcoSgqXsq9UactjXOtepYotIjlKKeMWI8Lp0BmLAUEvypWw56zrbzOnm9ljUBFI1+CgMp2M3faUljWvhNtz/gld5T/m53flX3BHcTLyKJTec97emN6RXnbdcyJrjBqLHyPnscceO3gsJ7igBvpRsi3CvheYyEnOcW2foWcrz4IrirJqCEr4X/7lX45IpQWjaDr+ME8ONOOw1wO1WMUDVXekHOFRH2DA89qbN7ySF0ZvDr4+9OvVXP7OTnqlRZ6lUPuLTwrCZNivLJ1lPTz6bJHeNjniXSuKj+7xlXdtWgTBgoboDpabEvfXMuj0DHzhbfQX/carFvWqXDq3Ax/iWforhwDNM65ywqNJ2yqqgMmZqCzynMHBe+nIsiyV6+UIu89gcd0ePvqbrLRXMkMTzxaoK1Nv/LJDyYFr66CXka6sL91qTqvf6EFyon1ZsCqGwNMey9WROdauJXfG15cSdyWpVQBU9gw2MKANfIZvY8JFFUPkhKEHH55Jt4EPXBnlyUDGfwe9lREzT7oAzvBF27Xgl27Rv7kxDpunQJ6xzaXX5sA/Q5ZOYjzSeRwG8GjrT3t0rrIFTqwFZXoysPGL8c03p6Y1rtJSejLDy7j0pHnDT45n/KA/hlbBibKG6eOCgeAwj3Xa8R34N7Daemgs+Kq6g+4swJIRmrOsXYZ4GTy4qAoBDbbyoextARb3cvjjsQxaY7gfzQs8mUuZW5+M/f/+7/8+qg8c4GdsOPYvQXCdM0R3ahve7nMbwIRHZy9Yc//6r//64CcOeg6n62jXmtR5FJyGKmhyPDd5Yv0kfzktGyDE3+kV4/fqV2OyKVrn8EnVZ8ai19gw5E1WFiwF+1xLxjrLAU+Qv6qdyh57LhsG7yWL+lgZNWZZdfxnLsYooKZ9VUPtw8dn9EhbTOAOvtOvwQDGKojoR3aNMbTt9Y4dSilwwm6G3+TCsyXO4Iz+Uo1IJtuu5Xr2Z9VC4IB/v9mExuLM9vo5NDMu+lkD4JCsOO+HPKnYEVCAA3DRRw4V9kwnt6Of1/DxRfAWnFnPjJntlC2LfmXO4TCbFk2qpLEmogUHn95rayuY2T7sVGsC2/Yb3/jGYQPZGom2+Tz0HZpoj7/hqez0JvpKCrW+t0bBi6AE+OHFdQ4uHG51Fxpx0CWDrA3pxpxrz3meTV42HN3pXuuOeePx9LU25one6Uf32irQFpXW6vTjVmbBPxjLqJeQk8AQaDAuHdk2oOtuQ94Ve9Bt5CdsBF0WEtOKshTlpyQwrk/3GEHnw91ypvvM+fSZss3ZLXN+XgRS5FuWkrGQY+0zR5eAONWRQBe112f31yF2fR2oMuquZzCXzYKHsuhnB709QM2rPaQb6c9YyXgOtpR0uCmK7HcZpxz0ntkMbg7pztU1tKiCANyNS9AyQLXLCPXd9Q72MyeCxfEtQ0HZddhKGVzPETwK176hHPQWLcJqbEq2v/ZuWzj8CQZxbiyYBSYq37dwUNYZTEWnc8w7kAU8BQ+KOMJJjpJrOey2DFASqzg5WZSI/6oOGgv+MjQzjptLzkoOB3hEWilchi5DIx4jO/YsNq7ryzvxaU5yONgA0srHOZteZL0qiq0AWJk7y1gOegs9hevAFvC7hgfwEnyKGr+VjU+4ywAVWMIj8I3OdIvFLqfWgsuwKYNcRRFeIh/Ry+8yOemBnIiMQNcrV9uMSYtjmc70ZeWT9UNnlBXQlrFD1nP4c/jqL4Nv+/e9cvng3Ix/waOCq+sQlX3NcGZk5cQlU+lIeghO4FH/+L+MV9m09DiZkvnIQWfAZmzor2xp/WVguF71Sdl4ugKPtycwuMhoDqs+GXrgN8/0DljLQAvKkL2Cx+lexirDsnXUdfPAQ2UxckoEVM3D4XD0roqWHEe4gBdwwoc5F4RhABoXb4HHp3m6Vhl3+qfsT2sbetD5DD8BRtnhtgzloII1J6fKtJxhY+WMwF3Oe3Qt82nOvoOJnswZcN287bFkmOofbZqbvuEnw7eqH8+XjW9tDA46tNcKFpSvtDqdWAVd1RS7vva9TCKcwTv5+du//dsDv1XQtAZf9/f8nvX/d/t3+lEpbhUPr7zyysGH8JbjKbihnJh9ic6CM2SrSoS2NsTnm2gpOIgu2SLoWIWROaUnO0Oiao7ons2ZnJJp43MoHaqGr42Z3jUvPN05H+D0O4fdd3qmyp90BhntPAptwFHVSPyV3krGc3zTc2BIV+B/OMkuy8YxL/eyC/zG//QjPMMnXVKAMtsTDPRotkjOK3qQ/62U0QasOZractbYP/qHQ451QVH6i75D8/ZE8xl6N3dVSu3bVk3JVmQ3tnWIDegZe861h19Zc985w+BxGJvET84s2rD3wG4Nti6jM2ccfsDqe2s3eFyn39iwJVv8ju5wyWYVnHN2Ev1ozBIh7tmWJGiAXr2azncwZ0+mm1pP25LRIcB0oi0f+IfcwLW5GgedZPOtMWid/q/Pxq16qPMN8Ig5nfUju73qKvdKKLatCb2rLkseLulH8HVwHFoKdsAD2TY2vyxfwnkx19mGvCsc9BdeeOEgjFJgjJVR0Z4NRPWHiTBWTt86fyl+QlJZ+zrrt1oYtpwnJ3ezw/vcOuee865Br8eodI1SS4H7Xhb87KhnuO0enxb+lD0Bx8BFvTBvwlvJTrBX9hH8+iBgVQSsg37GA5z60wfhpLT8eabsrfEqlXGvoIE2e6hYTp6+4GQDHoxzSirYOBQpfcqNwBFgc6QYtqT9DDOFyvHuUKTu64+C7WR0Y8Y7rvstGmhLRQsM+CuJT8laNDtR0wKgTfvO4dh9MFgIWrBSJC2cZZ+MQ8EZU6YGzjjm5mtBSpFupYBn1qH3u8x8C0lzJg8MbjCKCmdouu/d78GxwaHKnTIWCs5ckpGVhUrgt10OesZCzt85c77P7D2GlMUwhyvla+H6t3/7t2utXG+lU76b1zNAHQaFFqLp+DznnJNTtrTSSziNDyvtXEebPtIH+YxeGx1PB1U6vk5rJX1lhJfvjZlzrg9wia6TFc4QvYE/yZa2ZMf4ZKD9cRmcntcXGNNf6cgi+BmtnR8gJQAAIABJREFU8JJzZe6ew48FzfzW75YsZyBUtq3t2UHvufQY3U5uBY4YTn5XGpvTnJO+WwyCqSyTfpObjPyqkOhI8/E8/VY1VWtB13ve74Iw+oJH41hD9ZXeAFe0zviqekE7MPUGDM8ruaVHXS+7py98wxikV9pq4XnrQ4e6ReOyGO3ZzVjXJ/rro4oCnwIDMpD4mJFVRq+1lP7ZUkvPLP/FSz49i6baWOPwMHjpSte1sRb80i/90pFNMkf4y0HK4UcL8y6ItI5GPOpeRmtrYxmleNX9ghbGaZ95FQZnnUEm4I2sMEDJP55zHT+hA/67ec3aq69Z+8pXvnLgSxbNWlomlOFumxvnpgwduudEZNek69ABj+nDZ/KDfum+aNXauOXt2WBVlp31o/tVftCP3l7C8cOD7VWn08vk4110rmR812PwuJ+zi6/AYkzzIUf0hHm7zoYpowln+m3LCP3C5lh7Bi+TR/LS1pj09PJ+NiB7SD/sYvJbNWSH17UdFXz42ifY2TDpzV7VVZBvA3rmwgkzN/CjozHA5LkqJXs1c1VA5l2AxCcasMFseYQPeAKL6+YgGUjmtDWmNdd9TjF42Z6f+MQnjnZoqZxbe/gHA1rKuPsOf56nI62FaEZ+tbeGo3lVOK3BBYTgED7bOug97IKJ5tvWDToBPlxjP5dM0kfzQquCPQU80b1AMhsXzvx5zXLriDXkS1/60jF3NO4cgNYvfJWean3aOcQjG0w135KetW0dr8rZOOhfoOmSPVXpu/noEy2qQKPLo6HAxo2DfocWacanDLr9EOfMed2WOcd8OSgpwrPjsVnosyNRFkmbc7b8nDncjHnRUEquMjVwPPTQQ4chhAFkRVPmGRTGx2gbBAgmzLkZV9dz2DNSG7dDKAhGTtIaqW+E/i3dDJYcaM+BtWwOOL0f0txzmDC/xYGxVgltY292f0uWfc+Ab2+ptu2ZQmfzqKyJMjMOOIyds0rBlGUCa8EPisVesg6Hc69Fj/PM8dWHubmudMm1HHCvZKHoyogXWKAoKM0cjfYmVgpXtpni7dRzNMnhAXtVH5ecbHs7lVVZqOwdolDhgJJrcdzS++gaPP3GZ3DYNgqBFf/6FgRg2KOlAzIsKJWiZmD4HW8tDd/MUTe3LXs/VzaAbw2ILRO8FY86kMrJqEVRwytYzec6K9c7VHvf1mPpSJUfDAN4sfhUuYE3yAhebb9zC2BOxepINCFnVYmULSbTaJezmzNcRQfe3sy7SVS2l2NEDspg+iR3jDXfySsdUtmltnjUeFVfBMtGzdOdycU5qFkmJScfTDnH5qBPeMmBCvmNkeNU1qgyUv32bJkXDqg5KJ9ta4HnCuZZC+i4xvK5gbYyoumr5pS+zPluu5Tf5kMGCsjAH9y1daGtAOCFZzoKjhia1k1t6av6KTMGZrrB2J6TRREQZ/hwnGVT2g9N7sGSfgZfdMkhqOwUf6VXPU9H6V+7cAvGdaLLCsOvICODl26XiavCKKdef5XGLk1zsKKZ/s0ZnFUkVVmBDuAhTyrgOiQu+ArwlF31iQfiJ7jOoVhaV2lQ2XEBmZz1s3zGe5cUQvxJ1uHL6++cOt2aiCfQTpXUW1lHph+ff/75o6rOuiiziI9zJtEff+OFAjE5pmhSZRo6pBd7JdbqC/yhLzyYjYffPKOPdF/PxHvgIDNgraTZ8+wpa7RgtHXw3nvvPRw5Y0ffnNG2C+b0pH9LsOyeY9/xIv7zvYBaDpY1tmqk9i6/kX4s0Bmus+n04flKtdkz9JQSd0EGuAYDvcJRdXAtp9pYVcLsgb3w0fpf6bV5tg0JXjzfa8XaEmN8iTLX9QG+xm9PuE/0acsM/pAQhG/OMnjobnSpwjGH17xffvnlYwxz0dev/dqvHXrK2OjXdho46RVs5mke7GdtyXLBlt5C1DpYMM5vfaVvtKfv6GrzdUCd80VUTnqDVK++RSP/YMWPq5/WLqsiKpqV9CuxQyfyxeDRWtcWGv3BGfh8r5prK4aqCmrdWt2YU29ueKGAV6e8e5Z8lb0P/nOi6rx+o5EAg+CFylj8jg86N6pq67XLvy0D7Hvc+K7IoFskMbWFsHIWzOzvXNZeJIzy24zxOhrhtMhmGZgc9C0/uoT/s0O9znp9UgKiaASEAmYwlTE3XgrVNULrN6bcCHtjr6OufQ6UcctyZnhcmufZ8baI6LOyrQyTlPpmAyg/7bUVyfyt3/qtY8z28vsOphz1/R787YHx+1bfGV/6YrR30BhhdaCDuZX90wdcUQDmn0FydgYpU3vKjNd8Pctw1nZLso3Z/mZtOMpeJ1SfOQYWh5x1So7hVnR4nfgy35Xw+4z+wbKO9lnJOAjEwkA5USbutzAV5Knv5c/uuda+L8YwWndwHKfWIkYByw51Snx70jy78JQ5LOii3TrZBXjOzndwXXLSz+XutS1ok8MIR/bfPf3001cZUIqaQ3GTQX8VaxlFXpknWo5eHZqi8gNOK/lLN+VcwmV0Xcd1HeCeQYuc9By9NQqTkT5X94LT7wIyOfOCRU5wx590C5mqVLnMMPjdZ+jl7KXjwFmwkk4GnzGSg4INnu1+mfKzA9U4ObQ96zfjiB6JL8NPZXpoAD9kFb/btiJDVwZaH53Z4dN8yPNWF21wq/3FyWLbbfA8fUeGy5qgJSOEni7L4xMOOqsjuYI3ePBPjuGT8dLBPQWmC17iJcaS++llsmeOHBr/9Ifx6tcYZaC167C1nNMC6J1w73rl72VbzAls8FsWJT3fKfSMUHzeKwTjX3Mo+5OzBI/G8d/6iSc2iG+sdbTpS1kjQQDP+Q2GDijS1lgZlsYow142MUejsQoiNKc+cw4qPy0AoL+VxR0L7Pq1Plrn7Mlla/irXBYfXfc9lt9j+/ZKP8qIcgzR0LoN13BHNugh+IQ38pkcFXAqAI6f13kEe9UfnVFgbcN/bJhs1fjP526P2blXCQQOMuKTXKiM0BdeZA/l8JADegH8yQ99gqc6IyZ+WjjTsZ4HMz2x9i7Zay7rQMFbW0HIg2f6TffknGVDmmfrPB1iXPrReCrilJvDtfH0rY+SPCV82HCtT+aOPsamj8q2l/XXTp/m/h//8R9HYgwe4c6ecLjZdaOgpjmQkyp18h88Z03ieJOrbF738Y3f9KREjrGMKaMtSKY/dos3BwgG5WyiMb3nOfQ1D7JrfYav8GMM/cCf/87GgAM85Rq+y9E2d30WyASbwBydraS+gH1vqdIHGtM7ZdTTj22N8htuKlNv+4S1h/PP2bUWeAMCvJMV/ZMt8Og/+wKc+suPYdeWNW/Ndq+AZGtz+rHT/at6cr3znM76MduVnqcfyb0tIqqw8RM4WhfBbevkdQ5g3hUOuv2VmLPs3Co+Ao+pCG+RzpzHDMOz85ChmBNfudKdLBaNmfFD8DAHRfHoo48esFVGvM5K2c1V3kUNgyOmveR0d63MUHNtH+oa3gTW7zWS17GCh3CSYZThm3LA+N6NqJqhQMOWm3Zqb7D3Owd+cQtnGXI55vpUnuSvSCsBc0hHpVHRMafB73XQE+wyM4SPoqhkGj4pdMGeytwpug7E0M6zypoINXpRTEXXUoDGLaLoM+fc9ZR50XTX9FM55tLWdwtDSgX8GZBw0T4gNAVbTn0BJc9f2sbheqWsleH53evXvCvTc5wjRgtl6T8n3VgpwwwH9Ipn3iiTvrK2gZFKl7oPz0XplzcKkrkG9vvvv/+I2FZ+6NUnMglk1l6v66xc70SffLvP5KArZbWQVQ7XXvNKAfFxVSQZTuhTJiU9tM4nfsxg6W0FC58+++96BujqtXQkGtJB2tArYFSKJzsEFjzXlg7Pk4XNcntudaTf+itQ55lKkFv4C2Lid9fIQZU5GbDaZDCsLtyS90peg4suKJCJBuSDXmFIM14YReaSQV+GoVcx6qcyvHRkDqNn0KrAKF7XpqqRMhSuWQvbgpODDa7N+lUaWNCjCglzUNqLbzLS26tKb7pubnAHbmuavs2LTlQpkLGaMwx/ZeuMEyx0JPjMy7wzvtxPxxinQBAceF47dEj3lWW2bgjOM9QZtukTPFHpafSFiy1RjmfjpRzn3YtrDYDb1h+6WL/m3YnZ8UoZw2DEt8YAd/y4zo5rzQMNcsjWAYSXsllb4VK/VaUwMjnhGfgCLtY25bboIAj7VtaR6Ue2GEeq06hlLKsuKqhjmw0eRJPOpYg/yWs6wveqcMgLPtA35/msH1cP+r76se85SehfEDJnQubfHuecFJ/9ea4gaYHFDYzmVFXF47l1fnKirPvw5B5eJOcFoPBpAVn3c+j1Vebcd3jIJi1LW4UNB90YEhd0xuc///lDB5QdTxfg284E0qffHEK6Aw+3NpkP2axyh2OsDdglN7TzrCw5+9v7y91vvWC/hPP0sLmwUap8qCpVogZtwUvuOytEVt0ZBp0VAG7ZczLXOSFsFVUBcFkAAwz5A71KTzaa01pwRqA9nVew0xpQMCG9ZewCk9mo+tfO+vOf//mfh01d6T29DZbWWc9qn62wQXbfy4ajebqZfvHv/BJ8ogLOoXrmAu/tI6/KtYQcvICxijZw3CqTns73WUAJzGzrbADPx1/rDyTT+SjWRnwmUEHm9QHPH/3oRw8e+Zmf+ZlrrR/vKge9/cKrBHvvuWstZBkqZbZr32J4NoIxza3KbTdbrs0acBsI2L4pKEIm85+DXlliSjoDJEVX5ohAtjc8OAlrTu3CjsFj4KKmex9TGxc+zFG/lWjl8Oy8CUTGUv0Q9spMX3zxxeP1ExatdRJr+0aVB0uLyid7zrjtcSHgYKbsKtvxu6ytfgp0FL2GH/BsAETf//Vf/3UsbPFG0ef2iG97SooSBRsc2BNuYfTXPpZ1xEVOWzh8bvRynYzGOMOW89p1OCgTl8NOochSVepeFr37GXnh8VbOurmZe1l0gQvOOqX1kz/5k8fi0OJKmZUZqtKjRewSD7q3813+g8uCapVinQ2Wsyzub3P/hV/4hSOLVyS015tYEEVv38rGJ1xlgDoMioEhgm2RwhvkwsLYu6cL3m2mkB7S1p/vZaBXNgv2lYntXgt6Trfr2pwDfskunneP/uiUcq+REYCxeIO1kroclPrGn2cdubrLGJWH5hRXUpojS06L6mfkpE/IziUdmbOXcZjeTv+V7TVvRptSfQdOKVEkp+ugZ0zlPGcsV26doQGmSi/dK/PAaIdzzqnPPSG+rQfawrHnjZ3Bn9yBCQ60hw+6oBN4y5ak3zP64pFOqqYn6VX70NErQxl/oXHZXTq909rb72jcxgdbWxLADLaM9QIsVQJEtw6Zo0/wRCc0gwfcnZ2Qc1xQMV5tz6q2OfXBXKDH2AJI9C+40dVzYMxJrxwYH7SHHT3AV7AJ3rJJ4oUc9eZpHpX6wh84l9cKHqzMJd8MfeMrb/fHkRC0zNGzRtlm91bWkelHJcccNmt62UI8gi5kFo5aV+mVHLVNaqCFNuvcwXsOxa3KbdeBWPvLs8ZNj+Hn9rzLfnKsJKfIKNjxOBmM/p7Hl36jeeczkMf2hsc3YONE9bo0MJMp8uIaXu9VV1slgH/ZHwUM9Zuz6jObIJ7Vr7bpDjKWTKi2UQ3Hjqw0fwMG+qiysfXIfTQoaJn+AFO2WvYKnGlH9+rHgXRkkX3TKfFkGD2q4KE/jJGN28F14IMbAZLeI16Sg95kn3KC07PaW3uNxb403ic/+cljS442+g3m1lOJEn0IGgkygiE7ydjpcjrUHHtrUjjL9u8VdfCkr+xmukG1pOx+ATvwbcAlO3SDRQUw04/4E556Ixbby7z0g4ccpAknBXPAk04ESzjGw/gXPgokFcDszIHVj77jSTynPRwVJCPDtT0HvQps4k/PClJaM1VdCeDgQ7j1+7rbkHeFg/7II48cxEnoc9Qtkha3soQ+i5zcqsQ94+iSk7lOZJm8czn7Zt8pkZz2GK6SdftmHUDSXw76lmC4t0ZK2Z2U/jmD3ljutyebUhcEKBq6QlX/Gcgphoyffq9BvQ6SOYGB8BBG+6EIu+tlY9ZR3wxruNQOrD7LdjcGesJLCkCWguLzR8GVkVjn9uzowh/YzD+lZiy8YWEztnG1s0DpkwLVD6HdxZYyiD7K3J3GTJG3mGyVQYf3bGm77+1zKqPWSaYUkb8c4fNiDi4Kt/2J4YjSx6tFE10vGJNjlbORUapNznoLqMWLsSKimoMO/x/5yEeORQXuKLTKgy9VPoA9I2LpcKlsf/mowIJ2BSG2nH2z5vucEzaffPLJe77whS8c704tyi/jyjlQQvZWNj7hKgPUa9bwOpriFxVFeKzy7ngFHya/Poui6wvNi5xHhyLuu3BWOYOeZC8nOiMt2qYT01uNRd9wNhlQvarHNfyfLgOHa+DOUDFeFSY5Mo1fNN7Y6QR9V4ZJzumBjL0ykeZZEBL8OY8Z3c1Jn7stJYfXfX0ywOgVB5mZQ0GvMnI5ZEuPXYvKTpeZB4f5GzNnXV90JL1Vtq7xC7hqUzm+MTOaCrzqD3z69J1zwnCqEov+8UzONngKDKCDsV3Da7JbZFEWHRwZzzmmVR1kkLUm0B3mYRx46q0TVUykx8qmRzO/c8qrXvAbfOmQeK1seDDFi36nL+HEb/DilWQGT5ErhqV7smCcjnBI5xgvRy6DGc3KfCWXrsVTaJOBmRMU/aqyyqHRd7D1fBUB2sAFWiht9y5fpdDf//3ffwS+zBVtHHLlVUxvZR0ZHd7//vdfObl4R5VL2Un8A2fog84+s9cKKJL3dGtbU+gQOiXZ1mZtSDKkr4JC8V0B7dboEhuNBQa8J7iiWoyTUXk0ubeeGpscm4tPOgwsvvcaNvxSmXIOauXR7nU+ErsF7+cI5uBkq9Cd2T7Nz/Pp3LK250pPsGlv/uw6tpSMJcdUf+2lD4cbIMbf8IDX9QtWeANrgTw40Uf2Czr2qsEy7AWj2WUFOzusMv0YzfVVFWHOMDuQc1ugkT1m/A65MyfJDjjQv8RcthT7hM2MhnCh7xxLdOkA0qoj9KGNgCm9bL5kmq4ET9sW24JQcCD9CI/moBIkPwDuHEKXfmw7Ta8zS8cWBK5SK9tCP8bVnkNrLIkTByu6Zx741DjppA79K+C+QZhK61UNcOQLvBoX71Z1tvpRG4EMn3APH/qOD8BeNUeBfbCgGb0Iz84HYCPJ/qOTVxy/9NJLNyXua3B/u99TrqKICLAOeqXtPinMLekrsrhZ18auxAKBW+S7txngsuMZszmxOezrLLf45zxRdiLZhI3h1uu9Ch6UBdjI6paLr4Pl+9mZK3OeYbmOX/1kiISDM+53PhkDa8T4XhQsJ9yrSjjoCXOG+GaTGqd3a1voolul5trktO2edO0oK8+ao4XJWGicc1/55K146f/Yu7NW247q/eN5B79X442CiB2xJ2LfYpeIfS/2vRfGBjuwuxBRUURQDCJKELzQC301/1fw5zPDd5/HyTpJTuLFPpy9YbPWmrNm1ahRo54aXdVcw3Ej6AGA50p77z2VDHOA4TpeaIOiwzgEGsAhZWwX191/DkBLJ/ZM/Vt6ak+ful664yUDPWOZV9RfY7nZEkAS34pUK5fjwSJF4SY/6rK446kx5AV1zf4si2eL3NmBkBLRntXGesdSX9BxyUGzdPtevzsoyjUAjift+fMbyNtS8eCDD17JP5m0J8zi5Xmv+LiXlc810B3eWBaHcei1ZUXgcvaRs00N851ikAOp8SoanXc6Az3nl3LqbMzJw+0wcuv3vcit/b3oNN7kS5sZ6KVJhkkpjc17v1fxJZct6vqCF661T9O1ymR0b3R1vfGbGaBMRnbl0VDU1b0iP9KN//73vx9tlr6ZsZmC25aCHJ/6EK2tOb3KplRw8zvjMKdmCokoaY7pUtlznOhz0ZAiUZQTY1gEnhFH2XTf8yn04VLZW/CBYlQb1jXfneoL+9SBRn2Ho+QKX4xjyjzsLHLHKNcXa6B6jLPn8c2nPuV0zlGjzvarpojpDzyEF2GQ8qXUJ9c5P1MIe3USeauO8BV/RBTR5r5MI3/NJbwzfq1/ZXJp03fjqZ/qwQ/P6Yu/HE7aUoffa+CjTz2e6fDR2i5itfVY4yieKdLqta+1vf9Siu9ljEyH9KpO40W/iEdkzngZZ3OuKHHGTZHfnIVhj/Fty4e6FiM7EDJsVta4keuc5emq6ZvJk2fINX0EjnBMh42MNuNIJtRlLmqrQ+DUsbqe3+jPkZkxlzOhyDmjNiMtPa1+5sDIUbTyn46awe9znfr6Rr47Awde6INopuhrGOwZNKEnA90cwDORcGOjnwUP0EgfysHgmV65m4Eoy47T0ThyYKGBHKinTEtjf8bH2i1Dia4igs5I1o62exVjASfyZA1wkDG9BJ3oMIZkhEPC72c961kHWz0PL9Hmud57XoS9dcL46oP+51DAE7oafNOfsgDaYqNvObxzyJNpzolOt2/domPHA2XRhK9l/OA9nZi+aI2Ohl7r+fvf//7Yf689/KEj03mNI1lAY7p656PgSWd5GHPPkj98t76QffTVnz43sKgs2o2HDC374P25XqC2cVX3N77xjWONKqBoPnBocjbAdo6664yPd00E3cD1rvOM86KfRUzOqeFng3MBbD2dmyppsM8R5VU8q7M0qW2DEkDY0fO2t73t6vCJNdIyyvvM6x4oJowLgBkxa5wWGWjh3/TjlCvPldZZe57brIA8Vsquo8HvwL9nGAFFbtahsAfEea4DSHyiuT2L9W2zEFwzbryQ/QFCgGYiduqme+1j0Wf9Va9/QBgfTPT+vIar54CXCeu5DuoAdsAjg9Y4uZ/yaW+flDh1A7nAtQNKqjuA6/dG2trPjc4imu4DmIyl84mwVx2YL9oskl49bvveQo2vQC8ZJgci50W4jR1Q0ycH46jToslQ0nf/+nr2hNfOma486F3X17NDaHkRHZXvXg4f18kCWd09aq6TD55g//7w78ZAvxVB58iggJJpc6b5mUGGZ6616GXwtpiR4cWN8CDj+pzeXvr4GrMbKff8tuE32SgFmVzao2dOtt8zXFI3WtuaUzS7cTf2GWjhXoafeZ7ioUyR+aJJKYRbd4ZgGLkZHWWuhI1lC9S3UuPhLMWQVx5uFS2JZhhJtpPvMNCnuswF3zP44zf63UcbBSrc17eiNYxJPHSvrQJFL4rIi6o0PimgFCpYEEZneMB9eBXewgzzscgIJQtGMlw5+6zDFCVYJHLbeQUd6FbUOIPE78amFPeiy/raOlGEGw9LBU+OfeZc0m+0w/IcIrWpDt8zlnMQhUHqKEKVIeKaujLQtd1relYWi/hnYGeYZwT5TCHOMYBHGxkny+gjV9Wt3qKtnkez+wUUOv+kV3l6PqccGaH0GwP94FS/zgropbXuf3ktA11GIx7ZUsOBkROorDq/jREZLyCSMwXfmzurKxqnxvIcRCHPbVnQH783Up785qjxGzbBCWMtNZlxkdO6CLByRc7N0zJkWrM3CygjnfySpxwF+qkNsqUPcMA18xqOVba+1XZBAHTmZCj7JHxUX05BfGt/MxroZnSNHMkZkeqAneTWeEQT/qHNZ/pJGF1/0eF5uo3MwAJTcND5NdbD3ujjXgGzzkgKLxmwOfXgatHsH/zgB0f75hM8ZJSiER4wOG1/EVFGv+g63VI/GLjqcXo4JxoHpvIyjtAEUzuczide4Y/+oYk8GS9yqe/GukwqtOU88YmP8FedOVEWH93HczpU+KhPZTjoFyyxFivHMZAO6VO0vNfbwUX90yfzKOd080td6EVXcyp8RP9io2f1Xbmu02XTj3uuSHlOT/Kfg0d766zXV04F62GOGuPuuuwKJ/N7A0k0Snm/zvh4VxjoHRJHWHodRt45gwM48vwE7hsBTzkkfOvFvGSIJJgBcfWksG6UMIOpez4JmEm2B8QR1iKPRdHXUD9Hz7WZ4qtOAlpqcUbQOhjcW1oW9E3Eyp6j5lvHOc1YHYRcGfcoMSLK9WMjtmg0+Uxch+pQePMsrkISGHZYlb6YTHnV9tVm6jTBpDbhKfDz1wGBKXFAzR6hgKwJCnB+85vfHICNliLogLzfjNPSNkvjyjhXn0VSn9sX5ZUSQNa7VBkYLTCdOl+6e4ptyif+aT8HC9lK9vIe4kOZEaW5W9QDsJxS2szhQ+bVm8cWf/JANg88J61Hf3J2WLDs+2Wkq99Jo20tiC6Af54fReJdz0gqQlB7m7pODpKXFoyz8lWEq6wS42q8k2mywstpMdhDePD2xkC/ZaDb70YOjb/sD/wzFm2bKRPCeGXYwKAW7MYnI9FYWwgb6yLMyhVRyniAV+rJkPDdOBaJaoxdU8Z188cBceSwiG6Yi+YMebhWpHFp0J/FSLSQNYutzwzAcLG6M5RypKYYZ8jlePDpmQzyjCfXM86ba0VxzCXe+t6MkCKdMqE8JQmmuQYPcjKrs0whvG87B8w0b7VLSeowVDxTf+dmFFmC9+ZMUQzfjQes63AzfaKMUSAd9kMJhqOw0liaZ2EZrGH0MbbLyvA9ZwC6//CHPxwKKYx++9vffsihw5WMBfq0p55oIXdlDWRkpFiqNx4nR/gCs0ttxDd1F4VqL74xVNaYl1bfnl7jrp/K5KhSf8Ztr21Ca1H8IlzKwP0cGGTBvYzgjOucrh2Ytc58fXLfsxkRrhkv9aLP/67ji5n43H7lMrCKWqKPcr6nFBfNFIW9zgro/9IYv1RXBrp9smXCieDmkGx7hc+cduFjZ17kQDZ/8bzsL7oIuW5ct/010MviCZPKcDHuybtnk3vyBx9Fb0WAOfyMZ0EIfcoJps5OcV98RNvqleaDOU1GOnS37J0i2Bn7OZbaxqePbfGpXwVIWkMyntJdtQ2jeqNIGSuMZinj+Ji8ho/msfXgBS94wVVaO4cJPpFxbcEWfYeJ5gt9zUGX+mt8ZQTBSFhp7otsa8/8ba1pf75xVSf+Wou0pT70MNidpE6T9o9pAAAgAElEQVTngxvqMFeVgeHw1Di6zkFKf+IEdc33tgjBRG9YoRej829/+9th1JNHek0nutsehXfGBl3GSj/bEkhOyEAp6nhSVoR+WnOqDx/10Xh2iGhRd3LuehF0Y2wsjJcMsNa/ZDb5pH8pkxGvL5wNMjHV/cIXvvDgSXo0vuonGWjNLQsBTfqZ0xHPyNU6JX1vvAtypVMkL+ZMeAkfjYM54jlOBnLbOsiR/M9//vPghzIFi27eg/40EDhw5UksDc4ibQH0X3r7GuVrLGdsE5IW0Y3epoAZ+PWMei5DvqhOHtTqV98aHyZJi6I9eS9/+cuvDojLQC9lmQBloCdk9UE77qVYu57nte8mzTkauQZfe3uKJkVX/TzzQr0AEH0949qmuBNwipj7KdwmjgmbEinqXbS8FM81GksBdM2zpYFneDEcq1sZYMhI53UFLDx5wLdoO8NcFKd3DpdC7ll0OIykiLDfRUTwCkjZA2uCew49wCbgxSOKqT63N/GVr3zl1cnKDz/88DFk6tGvjPQi2EWHk1s8aoF1rfHrc9PW10DXRgcN5thYxU1dvSYpGV7DmhzjHQUuuQOupbmTM/wD8ACtZ4umJ3OXpnHGG5nIcYKPKdvo3ayPHBUr+znWLLjqo+gnJ553Eil6+8tJoE1nBNzLyieehJFf/OIXD17jcXvb3G+hyxjJ2HWvSAeMS07NP/iSYbzGBPlaD71xDFvVF0YWdS9KU1vhn4XUGFvAexViUWR1th+6SHpGfQpoGBnd+kgeFq/QH6a5Hy1Fh/ZAr5yQefLNyTXkU8Crr8yRFG51UrCsTRRr8ynlWD/hiDrhC4WurIXmfu0bS2NovqfwwlHtmscwpMP1cqhSCuGo17qZC5yc6vGv3k6Tz4DP4YenaKagdAhlzhrPpvgw3Nu/j8eclur0fPMZbsfjZz/72Ue7aOIghYeeM6b41l7ZzZYwnqUX+176OBraXpADtgydjJIMAvXCwU42TtkrAwFf1ZtzqSyknKzKta0Dzcp2cnvGfYY7ucwplcM+mUlGi/7sGrzp7jmYc4Jpw7PqQ5t5kKGoPeXR475xK9rnt6CFNRR9rb/o07bgxr2MkeHj5z//+YM3ZEqWRxF08kXPwEfyjFfKLM6RKeshuQ5zyFGZP66vvtZapW1jknM0Pc6zyqsrncA16755ak47v+ihhx46jCDGRsYZGSKf6CSvaG0uJnva0bb7Rc/Ji/rJkTYKEuQIJH9FOMkbBz0jr3N9wiXlwmff0RU+ahddYQza/C41my7105/+9MDH/hjEjOGMcwZ8zgg6VVFYc6JUa+OlH/hgLhg7cwOtIqR+Ny+tLw6YldGKr2gQsNAm+p1CTvfxT0diXOcooXt6VTKHKj7qV067Agh0U3Ot10+KzjLsc17rv1eedU6G+Ygv8JGNoF78hF2wVv3wGA1l1rQNFI+UxxPjgU9tBUMDJ0SYYezwgF5GPvAM3+Ndxq528JaMkeOchUX10wPoZ52wj146GV66pq/0ZqnuaGqdJPvNm2TrjI97vwyADurTtnbL8PBs8yDnd9ll+oMmfPFmIrzEGzhqmw9HV5kJ5Kp55JWo1xkf75oI+hoBGIrBBNWgpfCXdpNx3fUM6ZSCjOzbRdDPxsimj2f0E4i84Slq2vO9A+KKoBLClNP2NeWVTck9t7FOguhZejeSH1ikWGcc4lMpIKViqqtISR7cFGi8zOvvGkDPe+mwGft//QUMRc2BpMkZOJwjp9GPDwGPxW0NdL+LyrcvzHjpA4UQcIr48oK1CEgbYtAB0BSbjTBLw8kYz1As8oIWzwA14Jgi3R6aFDcHlVFAX/KSlxxgI8WaUwDYMxB9ryyQznlSn+tjTgmf6in61rOuG6PkIgXP9fbX8AobI7+BapG8HAyu668xI2cpBPgI0AAgjy4+W6Ds8XYPuOKhcczzjUb1r4F9SQ4vzZXzteS2vXOXjH2LUm35pHTyCDNI2ve/+z7x4cZAv2Wgf+ITnzj4V1SOLGSQZGT7LIIY7oSJYeRuN2jxXo9134teZ+SHX+5vJCajI7zSLocXhYiC1aJfRNj8M0f9zkCP1iKTqzx3CFxKonkVNhclJ9M5r+JF/YVxyZ123E/hLeK7Cnvzr+yAlHT4xHjlfKAcqN+cUzeFUF/NM+Xbp2weZHyFvZ1MnHJrHmqraFYKcrjgd6+JRAMlllJatA8d+o6O0kHb/w7zGADwo+hvkVq/zbsUwIxsinDZGXilrw59ohDCSM9LNaWkGkcZBRyh+qBOylcy57NoUdGsnDxFOYryud46myNlI5fGvO1LGUxlkKi7dbAxRru+FeHJQIPBynQQFxxSxm889d+++uZTjquM7BTJ/W28Mqbqf3JVeWXaC9pari85VslGQQX0cPy0bSuZW6eY9m8M9P93rO1SjcmA+UGurY9Fd8vE8Glsy8q0XjXv2p+9TvKcRjmDLq1rjXlRd2Od48lYZeQaV/KrPZjkXAGHi3G4uWft74A4GIMe5dXV/ur2xS8+ulaU3/VNMybL8FP95pt+h4thovneXCijoHJlHyT/OfVyAvvdqeL0i5/97Gf3OXQNBqQ7+m6dl83jIFjzz386UjzK2Uxfa5sW2c9ZiE7X0ZgT329zB/6KpDvs0ZYeRpnr2ma00iN9ljVlPOlyeOKtRb7rSzoRrPO795Z3hg8clUaNX/iHv9pwUBxd9Ctf+cpRx29/+9v7HFrImSvTVvQeVhkfDtwyGNCTs4Ss+S+CLqNIGwzwML41w5i2ThXwUg8Z5BTH07K1XPe7g0K7rs4yp8i8+owrXlqz0euTka6NXl1snLM1OlzaPIqeDPS2UvR78TE7YPGxjC71swM2Ow9d/gvuoIec2GeO7+jsXfBlftTejYF+CbWe5LW8nxaZvEEGgqC1cLew+72R4QzNPPueDwTPhvmmeu/3yDSZCWzKrc/qy5D2mYHeAXGEKsGqrsCzspdYkaMBnRlZJmZ0EMAMu4zz6jHh2tOszFn53IwAzwQMQHcVcfd2T7+0bulDa5yjh+IperMR80C+VGw8re68ghms7Z1Mce1VIT61X0RPPygvFEoKIRB80YtedLTbQmp8886qL2M6RbiIT9GXIkdF3uM7UMU77VsEHnnkkaMt4KTeHC+cEiJQRdi1U2rSGugpfCnNa4wXVWmx1aa/POv6VIp9Mo0+/6WyRn/Re89vRkiKMMXdnEIvxdOYBvoUPODns2h+C5Kxi57Hm7r4ekmOihjoo3lTWi9aALtMiKWXAsIBgt/APkU7BcCn/xsD/ZaB7j3oxqjFsaiNeZOzp8hA8z7F0hzLcVa0tuwIZTOEMsqL/rnXNTLevjlzJ2dKzsIigugytzsgLgM77E6hzchfB1a0LOaW5tvCm8KZcY/WMC5lAG3mCgUzh1SZBpsp1XNktqh38u8e2tobaO508AzlwDzOEFCWkpejLV4UCUFXmSTq157fOeKKsuKRfwp887/+ocWYwT9zm/Jn7ClkaDQOZeagRf3ooFAyoH1P8S2NF2+KPOOLZ9r/F9Yoo23OW0qn7Cb98Rx5DCMpezlFW9dyxFrbciarr/Uj+UymW3+VxQd0Jmfq7rrnYJh/Y1yGhfttnYhvYUly0PqDX8bBWlMWAFlvvW3s0ZqTZedasrYOrQyznEB+91fWSSmmZVF07kmKdQ4v2Nmaqb4yWdDV/FRWZs11jhA9SVXwKRdLh2QIGSvrOb6IzJEr63U6ZGsv2WproIbdDx+b0xm97q+O6fclHdJYZVSbS+YkXEg/K+sJDQxx7wovAFQa9OKuMc+BuMxJ3prrdCN97NyIUnzLTFEnGlpb000YbJ0GTv7Vi5d4mJ5k/rle9lUGVRjmNz5rH+bIYhDJ9B0ewLCcDtLa0QGHykbA84ISrtW3Mo/gozme0wV95o0MCXqMYEQOFs+kq3IaMtTV9853vvMYB7olI993maDaxitbdRjQsCdnZcEc4wj3zTl0GvdeacoZ67oxMraMc2MqC7TDndH+pje96b4vf/nLRxCoTEh8YYDjs37jl3qtK/pRVkQBHRiXU4lc9FqyTuU3Zp7VP/zVb/RxLCirTu2hq9ewkQuYUhAIr42n7SG+k1Py4bA4fcQv9HN24AVeo7/oN97kCA4bz44t/IJ3xsDfGR/Rnr5AftSDBhkSXhec/KmHUU4OOM3R1rlV2R8F0jhLrjM+3hURdK9Za59CB5cR3CICed1MohSsjPGixGuYnr+vcXAnK8FG5PNk+mSgm2QEPAM9paOovnb2+YyqrmWY72fA51M9mxbdvbyXJpG2V5EoenDuYxNiDXQTqrRjn7yfgADP22dPyJ/73OcebXSAhbqLeFZvqc5tAyiaFiDjTXzRX0oeMAQeIqgpKRn8Ir9Ay7tNRYXdT8Er3Rwf4z/a/AYajNOMCYBRujkA89dp7q77YyyW+q7vTlflqPDHsATm6ncdeKlHJLoDThoXfYx+dfrTNwoDOvE2pXfTy5VLGV+nDnArvZ3XFd1AtrHZMU6mpABZLCxcFh973PCudCaOFkDG25hxrp7S20q16tO9DPe8rBnfnjd+ANri0vVk1ye68S4HhGt5T/GoFD59zYApDZec3+xBv2Wgf+QjH7nak2a8k184UNpa3vLSbktFg61wKwO+9OmMAXKXoX07fMxQd3+j69VZCju5M2e99oRMrEGNLnQY2wynNVzPGKmPGZ9hS6l7aDdfyXbGv2tFy8KgjYyZh9p2LyzMuZGjIAdrUSOKsDmvHa/+ywg1L/SVgkjOU5gzxDIui/Yrp46yBOJDGFlGgbFJQSxdO0MXnpm76Oc4NPekjDLCzcGi/RnB7RcsIp5ClfFizGvXPUoseeq8jByOaKYwUZTwhXMAtlmXOeBs+cJnuMnByjHaCcSbLotufNNHeKjvPos+hpFoUEY/UmJhpPbIfjxuLLUNkylrZXftQUPJq7GDh80P40qhRiNDx3imOKuzMdJmhpvr6vYJy3JWbJTWfX1Vp/UI7erOQYKe+mU8w/qU1xTO0jybm+S8eea7Orxm6DoroHeibz2Vshnob3jDG44xIiOu4Zlxy1jCK9fTG8raaXuH8cowVU96aAbrk83GXMPDWG2aOkyw7pl/xi0HIb3AmLdOtwXF8zli4036ot/kubT5Xju2aen61rvPwzl8ST7JEGNLO+rRvnvKnPFxnWplIKG5MzfwVZaX58xLGACT0E9f1qeyZjK8c8ihjezDNxiADuORo9Wz+tpYmk+wBt4xSs37Dm4r45FhqV46BN2NjkcXoz+p3zzv8GHtql/f4Qh8K4sT/9JJ7OFGu+xE2AsD8EqgQVbR/ffff9yXcu0AY/R7D/db3vKWoz3p/4Im9qvDUvLAYA7TjK3f2qPLkUPRZLQbJ+1wGOgXbNE+/hoHhrP+4AksQgcZT99zYCueeR7/2g6RvKpDfZzQ6O6cG4EBY9pr6NgDcJGjuG04nnXfuoFOfO48Fc/ir2e0SXY6m4CM6Kc1hCHe/ndlyDO+oBtf1KH/BYDwhuylu2gHLzzrnmfNZ+NwnfHxrjLQ23dOaAghxmJ60fMiSKW4LKAXfQyAnwrY98zZsHa9VDSC5pUehMYkAVxrnK+Bvh6i6i4VPm/pGfhb+AnignIKtslXe+63N0676lwHRopFSmfKcAs+gdeeNBH7CdWRkal9KVjAIuO8yE+GuYm1qf0p2Oe0Un0EshSy6EuhdagGT9guROji+ew0deOeoW4SS7XshNtNmy49rX5a+EppL03c4uh6Rg2a22fjO29nhqmUKYDtL2ND1F5dAMl/0XNtJ4MWDfTmse8wkMaT9xrdvd6naNo6MYyd+lIgOAo8Y/w3u0OdyWuLEN5SBCwI8RCY8qiipQPjLAaXIuJrhG/qbQpMCnWy6ne0NwaU9mQJnwAw3pMd4N+c0peVddeL8t4Y6P8dQS/9rehgfPI7ZadF2yLVeDX/lSvboegIfq/jbnGz6xsl9HyGY/iWF96zKU2iEmSw7JqUUXJS9Lvo7BmrYQGMywOfsYwO1zKOM8LDPXRUdxiZsYcOPDpjZIp6EfTlo7kGb6TWmUdSNc19Co554Z/SRv5TgDO+9E3dHI3KGY8MLrSVPqrvKVKbbq4+ihKjWcQ8466oB6X0rW996+GM07deRcaQptQ5GBK/tNVWgIyNMlbaMpNSDV/cUwecaF6inQJMoWJQSgt13/MUvpwgrWna7yBIda6CjZZS69u/qh0YoZzxy1jxSUEu6qa9ximnr3u91UCmABrwKqU32dJHGBi2WQPRzUB3nUxlbONnEfu2bYXt6jPGYXtGTSmZaC6VGg+aj+ZFtEcfJTcnmnGm4Ib3+E3uC0AsRqLTc+TJ+T3XWQF9OnrYk3k2A90e5OZYhlwRO/zOYWPu4nEOmbMOad4aq6KYj0fD7fDRMxkLPZ/RxPCAJV4F1eG5xjL5M5bnvednGtCfYxK9ZKyoJRljHBU59TvMDAcKuKg35xD5xqMwAc9gDV50EKS2oo1sq4c+ZDsTQ+hb3/rWoaPABM/jAceJ72FLckuu4Zu9+Ax59cEdbRhHOkIBKmMMH3qXewaYea/ML37xiwMj9QUumJ/686EPfehwXoYjcInxjR4OZM/C8/bhd1AmGvVTfXjZ2QawD68ZlSLU2opfjF9YDyPpzeTHGms7bFmfxhZeidrTnZX136nxndWE77Y+wHi6nLmPp9Yi/dIfaxI67ccumOl6ckc+jJ3fDFn8f+Mb33iVKZwOkWzlFMQjdOCR52VF5NBXh/XOJ6c0ecGHMr+qC//Jnz865r51Rp3G2H16cE4ZY5tsaR89tkQUkMIvhwCyDdqKSoZyWG4Q1lzAQ/NL5td1xse7wkB/xzvecUwSwmhgDJRJQXD9pWiewbRFy0TIK/hkQL0y7fNNST17KyuXcpcyRzEitECDgLmegZJimDK4qUVLW8rtGugpnLsYZ4AGPurNAC3FvYhx0aoABg9L3dqJWDpkgAFcGEP96YMU1byE7bdp4VOu9PGe2Qiqa7ufz+9NLfW7qCoFE+DxcrbXCuBLCfI73uMJegGDtCF/gWORaeVbhNx3XR+Ms/bKdkjRy0gHGoAbLRYaC6j3eQLWXmOmvgzTtmHoI97k1SOvaPR8hu2OL74Wmem95NGZ/DT2aNtoIBo7LEp/1tBQB5oAenvc8EJfnOJcOicwNW4p1O2fj8bm2XrpV2bXcL8UMTdW6t7tEEUiWnzqf+l7vTLoPG/x4SbF/ZaB7hWIebEzssm0cSYr5Me83+h2BhPekhnjuynlKXW3w8wMvL2vnW3DvbBMe+iB4/DDYqqseed6z2ZkZrxfwkhtd13/NtKdEVR0OkVJfW1VUiYD39rSmhJGtj9zD+zSl5S7IqXo6PU4lBd4Dz/Ir/kUznsuw6zI624hUXdrVE4x/WrPs2tkvvrQzpioLDrMb32EaxQ09GzWjfo4BrXrMDcOknAID9BdRoK1zm9rRGncOf5aY9AQdmgfrumjCBL+vv71rz/WbQ5edeRIYVS7r3wyVsYDPux4abPfZWOop4yJouilKqdYqi/nHh6Ufmo8RZP8LhKpPzm24VAHyBnXsrjQDEPxrnT/tjGYN63rKcAFCXIy9ZkC2iGFrqNzHUBF+XNWlQ5trNDp2Zxv2kVja9wahWSDQ/k6K6B3oo89lbIZ6K95zWsOZ1bpv66bP+aD8cQjvF3s2lR14042VtEPPx4PH1vPlAn/aqPnNqIJG8mZ0/cZpMa6syXKLkMLuWmOphcuHcm/NtEQPpaJ6jN8tB7nxC0Nn+yFsR2qpVxvgijrD33NxfARXZ0knvONDvm9733vKuWZvDt0l34EY8IZxlq6oHlaJpi6O5k8zPOM5+kIrpVRFaYwWrVvjAV57Dc2hxh+Dof785//fJWSXuCu08XtG9deKdX0IjxCnznX9ksYIfpdRkz7ro1hWyXQhkd4YEw5MNVDf7E3Xpp1mUPq1W+YQt/Ei/CIAU6vQivsTJ/dLLEyNbUPs9SbI7gsx3BYvXBEPWi0HnA4iOp3vXWwuSEDKmcNGWAX2DqJT8aUbq5ddKiXU0L76ZToJ7to1tec9+FjThjPCWT5y15Jr2mLp3q1SSaVEeRRj2f10XwlH2yFAmmb+YE3zpi6zvh4Vxjob37zm4+BNBFbNGN0HqOitu1XM7B5tc8RuDsB+gCiyMelZ4tmBkavfe1rr1JlCCJB2qi2OjK4Noq+0e0Uq0upUwl7tKwCrJ2UzRYF9WbIZlxl0DcB8DN++TTB22cCSHjs8JHAMwTsGYqO+gYwjQMg4NHKaM0Yd127Gd+bKoWHpUuXTmTfnf3fouhShPSjFCTKvQlYylWpPO9973uvIsA5Dtp3iB5jFL3q0xf8Q0unYKIl4xwAAA1/eATUjY1FS/87QZ6c4FGvg/M7ufPuVX9e2VYEOfnd97YDnoAq/mWs6AOQjLZS7lIY0Om+9kUn8y4XodI+Rwc+6Q8+SFfqoDjtagM9FiPfyXxGut94vr/xPkM8GT/Lut/6bMGhaGzUsznaQXDktsXGPW1mzCTrzXO/ecavM7jeCc481bIpoAx0MkfBo4DklU4GM05b5OKj8SjqfVYci6xvBL1rzYc10jOWqm/xqXYoFuTBdgoLa4pkSl4Lts+inOGbskVWzNccRimba5xkcGpX39Xnu3mCT6V7dy0lmRFYKqznykDCR/W7v1kd6DFHKS7qKHKMdooWHM0Ibgz0pz2FrvUu5hRMNHWOCKyK5+aS+RyNxl4knEFsvDsQqvRG8zyDPgc3ZZVyqo2iL+jRj4zLlFK8Ql/p+NotWpbDJyePeQi3YQeFDd1ltMEMdftEo8hFkd9SjsmDPnvzBvrbF4uG2lTW2GTocIagFd9bz8pMyBmVw8H4l4kEB0XmcngUtYM9lODS7uGxfsLU3QdMJjyjTTTpp++eUxZdftf/HAFkoWvhejSopxRaY9ZWteZk6bfk1rpTVlRrZgZVjllzD+9uDPTHDomzR5WcMNR65RVZycnX3MJv49C6eqc65CV8zPGv/dJ4F2tb44yX+amcdHB/ZCosMO5hq2fQmeMuPCZX6X/mpHIZ6OtQSEbP+Ke/6DVPO9wr3CKTGd/msOvmaZjafCDT4Te+6rP91/pmLsMT/RKxzQBM3+qtFYwz51fgpzmlHf1Al/boaupr7mlPv5un+gcTH3jggSNT0CHHTljXvvWRUQ2ze4VlW3ncoz8x8tIt0FYKvXY8gxZ04K+6fPcngozm1heY47fsRXyFKT/+8Y+Psh0qbKskjFCPLCwGJXzR54xhQSfPoy09PP1JpqVyGeLZF7IUrZFtOY23aEs/NY7u61cOcm/OkV3Q1gp9hT947UwOfWbMGzt7+W0XcE0/1atfxifnNp66pz7Pcx77TYcmGx26hwfKlMGCJnOhoJI10+GjOS4LoOKxTAj86zXK2Vc5sdWR/GdTqfvGQH+qmue8Qoj3s5SEVRZblAJRTRU9rtn1grq26entJVqv6BOReyl6aBIkEMBUOpU/EypwRjeAW6XV94zyFJ2urYGeh3T74lq03G7/U9Gi7d8adqUy7v5SdOaZApLA0QRkfPrTP6mCgCgDPUO4/vnNE9cfUHdPO0Uh2v/YnieT3yRq/7XvjEXKlFdn/PznPz9SvvOKroGekmPC9xoLIKTuFJjzGGfomsD9iXj5S1lv0QP81QfU7TU1rkAo41u/8IixKaruj/FuDCxEAOyb3/zmkYaTTDR+aNwD3toP7/oa6BaB5MX1op14pWwGi+tSm/y1h5XsAP+MBUD26KOPHqdwkgP8QFcG+jmKrq4yBOLXOSuiOVB6qXI5JMoOaI5qMy9n6aDumZMZlT6TzWTLc3iJFzcR9P/eg06G8BtfUz5L6Q5fLHpF61ISi5Q0rouROXjWmbbPFa3wbNczcBfr0JESAQ9EcCnLGRQpMsY5Iz1FL5lPIdJmEcSMyzBAG+S/PoUv0b9Ohwx+cpvMaTtjNUPcvDpjaMoD+vFICqW/Uu/hmOvtdUOv+lIU0N0hPugordnzlzDSuKqvqC16zD+OPG347tWJ9i7CSOVTZjNeKUPasS9dtKGzMDZCHu/1JUUobIGDlKAUueQoA1mfGOicMJwGMIQsoFEflUMnpVC0nxx0YB2MpFRTmNBt/Ug21oHR3uwyGJJ1tBjj1sjWm5w7+KEfZYVp28nRGcIpskVUyw7TF3La6cT4QjHUbgaJPqaXpFwmZ9oz9vqejKoDfqOhSKhrypX9hJ7W+LYIJdetCfq8zqLwN1klFyKB97ITMwfm85///GONZWjgY/hILnLeJPvJd3h21iE3k5KckBFjkgyc8THDIFlER68lNe6uo1O9xowcc+bTvdSbg0o9ZVFoIydUekTOQ3S4VlYAuc+hWcZk2JfRu2nw6g7XPXuOkJNR9PssUpoRWH9aQzgJlfWqMbpROhnjW7TV8/pN91AfWSfX2mXI4T1aYBf8SU+EG+ZqUfTOKRLEg1Hq853xC4ukMssW1B7nHCObUQdb1KvtHMyCQr3OF4/pvDkq1/mc7DBASyPnaOzsi3Uwtz0X3c4qsmUUnYIW0tz1URuynui8dDP12LqILlsefD744IOH/uk5fKqf1ptOldcuzIUhriebbcfBA7R7Nkd974D3Ge7LgCpwZlyMnTWGDFVXAbQcW+QIP+iw2lWXNaE/a076rWvkw3zsP/2UM6Foe5nSBQc300sfOqcqfDRecLH1I/tos1abo9d9m+RdEUGnUKwR3AmBAaIJvoYz5m/aewrWRtLPoNs+iitJOr1/fK9f+h59hIO3tkPiih4TrtJ5izKuIrxpxKUPrdFWmwv+LeDdy4tXul7Xt2+1aRHfaGRlTT7AgEaeLYDh1RgAyx9Fxfsb1zh3PePbgtV314v8mixlI7Q46ecaee1JZiSmZJicDFtgKiXKomPPjOfwor14wNp+pvZtF+VoAYqXxgmNGbfAAx8s3J28ie6NorcvHfpdV1cAACAASURBVJgAVanhDFuZEqXOWEwBJwASOaMoq6OsAnzkmezQFu0HngATL+q/9n13Hc9KIyVDgNW9onvxvvQ7ZZMRDgtKaBEciqZ++tMn2wb0A50ZzOgtmnU7md9o+bmMejvUbu+5hg79IaelLa1x7t46m1Zuc6bhWxG9mwj6LQOdY2qziTr/IIWpSB/5t9DjbQZCeEl23Et+MojV0WIXfqTEXXJYbnRoje0MSTTYitKe4ozpxtgzMKi9hBk7Zb54ngy0xxCdKZSLjzknNsKesqxc0XHPZjylrJfJ0qK/juGUW2Wam5SqHAmu6Z+5moEWLWWJpNCkjOYUrI9t+SjybQy063eHI2kfFhhrESJYKGKErx2ow+ilmOCXLCTKqefcz2njXum02iEX8DK5KCsA7nZoURlZOdD0E5ZqW99FgSiZr371q6+UOfS5DtMpkJy8YROcNp5w1FhYR4vIZNigF5/wssypFOYioTkx8CmDRRl8zdAvyl6k0d5Rimm8TgH1jLUKbuqbvpJh/73eKcfKygce5lAxVuRildAOSUpHKcsDnzt7AH/NUVirXBH79AnteQ6vlMlR1NagDB+nR98Y6P93zIuMMTyjx+DLOlLMI+uzscLv3iFNXjo3x7PJIzlIp0xWM97Dx6LfuxYuPrqebJgL5r0xlgmYjoYW40k+OpsnPYBs1Icc/+iGC+YrOYUxGz1vrrQObwp8wS40FZ1Wv/a1hfYybVwrw2flH1/8No/oaaLHDPSi7oxLr70rOqr9ovTKM/DwoPIwrLlXHzunBk/ofuFjp5DDlw0KMDalmJsPcEigRX/oSOrSV05WB9Z5lqygT7vkQtCFzPhDY+9fx4sOnlMnh0BZCTn98BmuCdgILDG6HdD7pS996b4f/vCHh46GZ/brS8NHhz3w9lh3DoHxdB5Gp6bDI+OYnaGv5IVh2zbgshVypCifkypHa/pWGZK7pQk+ciighUNXGTTinzEjg3Rhem/ZWPiDjhe+8IUHLWW2nvFReXOjbV05zXxy3uJVa2BYR24EDdvOlEPHulGGG7pyNmVzlLlrHJtf1XETQX8iy/Zx7u/+oRYoQn9pL7jBct1gdt+kb+LXTIb5+fOpkpkhh64OLGCg5+1JgfFZykfPWFj9m3yXjHU0FUW00JtM7RfJk1iEGAisF7P+1FYG0fYzT3zXinKYPBYvQCEN+i9/+cuVweyUxqLnpVWXVqS+2jNJ67v60V+64hr05+8ANk8XMAEITvH/6Ec/ekU6QLWvsWhIytC73/3ugwcZunhnwgMa3sUiEYEZWgMxYwdQUpQz4DPWe62D32j8wQ9+cLQPXLVnESJ3AL93epfuDsA/+9nPHvcD+XPWA/oy0vMm1+H4e05r3LEsYuRajhBAZ6+vNo0pvuFBe+TR/N3vfveopnHDP7Tow54InzJZ6nzRGs8CSH9rrOXRdq1UrTJBfGYgeg4f9bnrZcHk6MFf7TU2OaJuDPRbBrrDWkr5ysGGt0WKfDe2RYeMdzKO37sFJ4M5Az1+pwRtFCEZPCudrq+hXzZPW0F68wA5KHrgezTmgFqMLIsihTHFM2M7jCRPpRz7Tgb9Xich+jLsi3jALFgSz4qanI3zeKW+nAmUYfPGPKNIFAlPOaA0FKmHR55L3nMuFEFrjm12lblQZKM0QHVQZPSR4vmpT33q6jBAdVGqzD39h6mUTluTKFgpkY2pdQV2UQjxw1j4j3/hdNH2jBM0FEHPuDGXZRbZWwk3KLONu7LwE6/UhW/66eCk73znOwceF9lu/qvDf6ndRbBzqpQ6ntwbt8Z8o5r459nkR3np+FKeO9gvh7FyeOefo4HztnFKNnOe4l3RdDLV+BWd1z+8IVdlI+BDaev4XF/LDso46DwF49B5Mxnl6AlHYaQxDyMb35sI+mMp7qKUxgHPjFf7X8NIn50L4Hs40LimZ7mXY6Q5QB7WibROzsfDx+6Ry5zvjFEOIe9Bd92cNMbkikyjsWg7rPTdv6hkASB91Ocwz/Pr3G/L3h6slpNoz4dxTV1teSlwFP67v0GFeGNe4K9/Bqk0aNsUM8hf9apXHa9/LLvJc4xyczwHW46oslMaNzyhz6AhfQNv6p/5IvKuj8oINtBhHVDnNZA5Suk+nJpheAeP0evKtkm/VQ99Rr0MRFha1mhvdijTAY6gVV/gWw7qMiz1FY7BYYFHutPznve8Y5xlipIl+qLsArxFu/nOwVDGAR2c7GVktkbmNDCucLTtUMrS5+CDvqWHh2et1fXb9WwSbwNxyry98gJ2shFyquIdvvRKwOaDfsN4zqFepacsXqnbWPsrG4R8yj4lH2hXzhyiv1pLzb3wTdnVVZunnRBfcLJ1Fw+0Y37A9oI+2X83EfS1Iu7wewY6g7eJZOACjLyUGQt5EjWzEXS/zxHzMylN9gz9S6Tero6iCegAoCKrvZ4C0KTQrVGjfpO2lLYU2NpFTwamCZVns8h1ac27wFiANs2YIJdmstkDRU5SjosaZWTho0iHfydK8lCqi5LihPRAvH6lKOSJDThaVDIe420GZAZ8ClaGeecMoMd+HeAiRU39ItH+fKIt49w1RrwJmSGoPNotekUn8NFkj7elZGrTsxkta5SkzPcuXxOd08LCQzYDROUAGKWZnHIu9J5Ph74A+E1vV157gSm63M/DXUTZGGZ8eOaSjO61DBn1cRJQfslGaaXuuw7UfvSjHx38zPjPQG+M8cVcQoPyu2fecxnnO18uGedLX+NjLIoodu3sZOp6i0hjQeZuUtz/+5A489icxrOizCmOcKHvRWyM+Rrw4cJGoVO6Mm5TTkpF33Gp7CqoKXMZ4eaOMRdpQGMOxyLVRfWrQztFaeBFqfAZSdGagukzD7q2Su9DWzi1qcB4kGyi4dx3/NRWGKl+8z3l1n1GJnqjiQOz6LnraNaOOrS1+9y3/dYKim3rQkbFKvHaoXAw+mCHdEk45pUz6uBYLQWSAVoWDwcdQ6UTcY0D/qA/DOtcADiE3gxOeNE19Kf8F/koG4vRWcRL1hNjw6FDlCx9Ut66wgg3rr4bY4q0KBuHYtlmKWM5kFJ2y6zIIE2eU4rxB9+KLu6aWvSvKB9Zkf2gffRwauRcRhcFkzMYdvvLeZjybZwp16XJUuCt/Sn3+lB0aaPoMLJ1yHxtjSxKmdyRWW207u98yPmQjO1cbD5Yd24i6P936A9lVBjfXtcV7rRfO+PbmMCPxYT0vzXGwxXjbc001j7DtTM+nnXIcM7zxp5cmMOf/OQnr4zOMuzQ1r7zcLVU5TJxClL5TWbIUdgEQ8hM7xanz5j3qzebo2j3Z86Sa/3BH3xbvA3PclCgH42wyDNSueGG9Gy4oH06pAN20aUv6b2l3ptLZByGoMP3ziQq+NLcSb9Eq7rMVffQwAHM6INZts8wML2KlH4u6gs/4eT3v//9o//KedZWyqK+OS3peeY/g7O3YtCD0qnpe7BO5D2HAhpyruG/sujVJkNav37yk5/c98c//vE4EBA9otrKMoqdE2IsyoyCi7LkjFeveiybSv97C1H73LXVlgAYj67OCUlWMpjDx9LKjatn9QFdMj/f/va3H/IgWp5ubN1Qhg6pP53xYUzJgHEjExwOZXXgE+dMMtf6GTbqv+/GDp86e6AMwByoyQ3Za9+555TT7jofykRaW8lzyssOvs74eFekuO8edMKWpzDBOhvqgealSHvPZHRk8Gxdvp8N/DVALn3PSEefAx0IaAb47fY/b9R86zxHV0vF3Ahl3vSUhtJDTVCg3d60TRPO87RtnSNYJgivJ0VFyg4jODp5/Xp3tToysE3coj0mB8EvKrWR6Azz2vd8HtgOochINxHt15Yubr8qxSfDk+ELNE0uKTgphVLctWdhSuHMkVHKFJloPDKO60eHxC1/KLX1CSgAJAsb+rQLSAAzMKEUA3gHN0mJAmDGw1h9+9vfPq7vX+k46i+lvbRLvDKm8dXnevHV27igyV9Kns91ilBGKKAWlwDOp3H2Gp5V9LSj7fbjqxdt7SXPU20xPBvnvbLNMxZai2Ep7DkmVkHxvVTUladL8wsvmpNFkG4M9P+OoOOlcS0KvYZySqVFNEOn6C9+XoqKmysZx+SiiHOL6Hmv5o7bRtSLsnreQk0eHfZi/MnMOiKjjWyX1piSm5z6jJ5oUod5UGpvDoWi7DkrU2jhAuzLqZEBjaaMTe2ksGfwuNcBQTk9OL7MEQodLMjgz9jCc9hdNk/bfvC3lNnaCmPQndKaw8F865ThUsDhjLWGU4DTUv+0j8dkgYHuPApKDNqlV4oe5fBTN6NCu2hp28HytxTUUt/RlRyp07Ye851ctCccb6IbzsBp2EHJ9a5fTsNeNwk34by0T6mRZcmFYWGST+OA3oyFxmrxKQdCEffWSJ85OtrKRcbqg0OVOCGj3ZgZKwozPMxZQkY8n2FeNKtIelHADi3aFPe2dxlfmKh+c0CdficHaNJX5ZrPvhdN3bmQMtrZD34bS2vJzXvQb0XQ8ZrMmatn4ztDvX3F4aUxXSN9Ma4zWfC7dPDwAq4UpV8svLS2bcYOWSD3X/ziFw/nG2da0doymtRX+nRrYjpwum/0FNghy8kYutEJQ5IxMt8p7b36KkyAJ5venn6arLqPNnU0Z+hN5r2AhfkernPWOcOozA9zA130Ne3hNwdCBnxp/rVl7HIOhqvodR8W+p4hqp8OwbWtR7Sao8017fzzn/88fusXPc68NGccqiiooww6Ok0cr/ST/OSMa96JCBtD48ZYzxmtz+qUWl9021i6rx79gMvosB561t58DgV7zaW0i6BzZjJqpcTDqCLmcMeYoY0+5hO/SkEvxR8vc7DsYZfwKRsp3br1EV/SRckSRyoe0snRDGuMGyyW+YSHrac5JGQmqUM5a1TbqtCKRoZ7h0+3DpZ1ijf46jmyRL4aZ+MOt/ERD/RJOzlsPLv4mH6sXLKPN/rIvrkx0J/Iur3N/U1xT4AwPmXd91LDqqI0tgBFmTXUL0XBzwbx+ZknIr89YMqZZPZsrIGe4rg0tgAU9b5dBN0zGby+54lzDd2Bewty5X2qMwM943wjacqU5p7QuwZYgcpGz133fvfdF2/CpESlRJeih/8m9vI+xbW08ha4xtBvExRYAlYTmneRAqct8kDpYiBTMhnpIjROhjQ5KZ8ADqi230T5DqUwEZVLOc1Jg65eCwI0VjktHUz/AFoLCoClUFKqKGo8mP70Af0UPaDsXpH+FDLlfLfYpGBmDBlX9JcZkCPGWOZIiI/xzWfydAZc98giZ4H2KO7KmAccMBwKRVIDSf3UXtFs1zPM+zzPiaLmza/mFF5nnF8y1gNK9Jd5UT9TbNYpp+/A+CaC/tgIhJFS3Ivuub7edTwr4k2+UqRKuXYtA7WoafKUYmRMjG2e7yLK6wRIJjYK3fei1i36HQ5GHsuSaC6oU/mUZnMunCnyaR6jSf3w1Weyv07JlaUU27DqjJEZ5xnOKYL459mi3bBCGzDAPCfDaKV03H///QcG6Fcpqu0LXv7hY8ZikaccD5wHFC+0m1cwLGeFsuo3vg59NKdEhsqyyoj3G72MZ+1wIuiPNElY1bhRfvB3UzPxBb/N/wwZ/S0lneKkv9owdmjMeI03GeoiQCmPGZfq1Fc4CdspoKJt+lj6Y9FwNNS3Pa9CH4pMF2lPMcRnY5YTRl0Z9MYRP3pGX91rL6rP0ia1YU7Zu28NSd7wNeNfm82dHGQwsjTQnFlFZNWZDBf5LtKFltI7YWH9bm1He8b6Ov3xcnGx756/MdBvGejJj3lAByEfeNd+2oxIY1c0MaOjwEHjfc5IbLzU/WSM+/P6WUouWRUEkenSfmHyRGbSBdCJxoIrbWFp+0SYXQQdTeZr/TWPze+CGSuj7XGvf2W+wET/2tK2+xmo9Ap1kGNt+g0LbQ3hRFcnGsyfL3zhC8ezbaWhb5XpVGQ2HdJ40eM6K0AdeOBZOIHndNWyH7VPZ5QRoy7Zl9LhRcnbsgfvfEcfHdLBcZwIfqOLUS7bovKcnmQBRukvrFM3Xu744BPsoDdziOJx6zHsjV8ckenc6nrooYcOGumK+qGP1pXOvmC42y4kjRyusS/CALyBJ63ZZV/gHyeItakgUA7qnCnGKEPbeOZATrbIxjo9OQjo2ei0pugbvgiW0YPJrfHNPoHr4VWZK9YB+rRP41RQIAc93V+mQplRaMJr8tGh03jjuXiVLp8e0ValdNccV73D3hjmiMInZzDdGOhPZOE+gYH+ohe96AAjTC8SmofEYJYSVzWEcO8T9tKxt6k1JtzfVPnbRd838q6uDF/0FS2mpBECwrKR5DzgG/FEa1HSpa0Ud9fQWYqb30tDhlsezCLppQbhw2YDtIC0wAfyyhBYQMM45rmjmJhIgM+hZ/a+mBjaLO3KcyZY9eEHeuOf/sXnIkebll6fi6SbjPYuUtj6k14jfZPyhxZ9S0ntgBDPAFOAJgrTn4hWkSs0d1CQa0X00U6x5fHrL/qBS0o4MOzkZZPa+ywBVwaRZ0Ra9EUalT+ABrSlCVHyLCrxyvczOJDv5CHQJN/tj8+YwecWz5UbNGTA+8SnFmoLkjobI4DLu+03OUip7tTNHdNS3lcxyTufkp7Bg0/mnL4URU8ulUFXHv2tr37s1oe+u1fko713NxH0/z7FHa/w1bgZ9xQv8yUlNOWxBSyF0yLt2jmS3hgnH82Lou+uV2eGbzLYeBYNV9bct8haiEuXzyAyJ823IqW1EUYWsYdp8C55hWkbsQ3z8MO9aA+XykTKeVT5+lHKZtgYrmfoUbIoKb13NX5T2Hrva45QdcCsjMeiKzmBXdc/PDIXwqQiPaX042WvydEn0RVKpTY9Cx/hSwZ8Bjrlz30KjpOMKaMwkQKnD/CHsqvPaC6im9MPTUXLjRuF2viWpZPhCz/xFT3mv+vw9ne/+93hFCjTwVhrH60UeHwQ4VK3CFivl9z1DGbDwPrUuOT4KNNgHe2u6Q+ZRkfOkfjemQCewYOywDqESL87D8U62CFxZEFdxqKoDV5oq32/yUvOo9aaTiNWNyzrRHHPMWLQmiGYzMd7459BZPzDZu323f3qyllwY6A/ZqBz3hsH6xE+945lY4TnZJbBkkOx9c78dL/I+zka3viUKbdOpPbYLj4axwITq2ugyZgbT/P6rW9964Fb5ok60Z6jsrUTLeYAWXKt6H8GejJNXuCCPiZD6QXuadu/vmirg+3U1/u/OzAvfTSZVl9ZVmQYbnAwOOzMK2lFXnN4qNc+8DJF0Gxee05f09sLIKBRH41Fcq6OnKGuw4QMe9k57nnOmRyeQbe6pdXbjoiH5p05a7ytQ2UAeVUpIxHGvfOd7zzGwRg+85nPPNYR9WpfsKNtQ+jPsauvMgS0C3NzELovtd040Q+tH0XctWPbqD7oP3qls6PL3PWnTtiNp7DSuPa8MbUO+SzrSj1FzZXNCaUM/hTwM770WXSFzzlOORv0F497P7pxpsu6hx+epafTvctqKgNsDe14QZZzrKcrtA2ALHC2pB8y8Omr+tKJ/b0xQRn4TY4KMoSP2VbpN8Zg1wXyzGbQB+N/Y6Cv9XCH34sOMdDPh1Goag3PNagztkvNUXYNlzMZRYXPZS5F0i9F4AMt7ZmwgKCooXsZGehqzy3ai/JXdlOW1bNGjUU9xXLT24ugoz1lOaPH5/Iow6+0oRSbjZ77bsJJ6wNkJrFJICWR8WtitC/knDKfsR4waX8j7BmOjWXjtFkQKXfSfhzsYcHAs09/+tPHIuvP5G0xpXDigWiwaDovokg/cCnt3D1AFZCXKp4SmoJjMTCBo7PJ3t7zTkZGW2nvq1AaH6CSjABj9fGS5pwo4p4M6p9rxg9o9JdDpnbyBGa0J1dllmwUPSVgy6hHGymJeMppAKByZuFjvECvcb70JgGLCFqjvdR2498iqU/tv0+O40upWfV1+7AKUMrweb4qo64bA/2Wgf6xj33sWEyTWTxrIc7oNv7xlxwVwS2aYlzyzsfzDEryg+fGuIi8+s3xIog9s1GkrjVmypqb9gSSHzSFIxkeYST6fNdOEar2uZnL8AMtMColybUM/yLg0ZATEs1FNMi78inR5lEef3iaAqB+dStPYRAVkT5ufuMlbGDoFnnbqKZ6GpciDUWItZfy6Rlli2jkhMAD7eZAZnTLcmE0OOQGf8zJN7/5zYeiVoonxcpz0ghd52hkSLtuG5ZIE3rhpEgI5RMf6mvOAXSlEJKVouStX8aAglZUmwz9+9//PniDzzBS//FZf9FDHnwnBxRgKb0d/pQCRi7woDdf4Etpue4VpfJZtLnrGcf4WYbCOpOKFPnMaQnr9Bm/YV9KHMcB5TIZKQqfsqu/yVrplcajE/T3tVrtlUWvNsiNuYUX7rleBskqzmFkWSYppM2/DK+MsxxvXtd1nSNEd6gS3nHxdEhRTePZWpeBsHu6c2q6l/Pc2GUg++z34qMxM/d9GnfPrnGe06VnLumQjVfz7wMf+MBRHD6ql4ySLeuydbVU7g5mLKKYrJsH5or/9mWTMbTRAdp7rm5yrN2c6mRK2TBM+daNslfN+bA3fQlt5BOfHbbm/ePqak6IBMsu9ecZvDQ+G1DLMYlm8yMHWttltI8ewa/mUNu64rNAC+wRaGKoq4OD0hZNe7uVE1hhNMNHrw5THyOYroi/9lUzRpWj98LZzt8xfvjampPehOfwg3GK9jKFwryMTn2xL5+h7h6e4FH6FP3Sb3wRbLI9EYaqF3/xmby1FsJz6wGe0TnDwvDMeBRl94z2G5cyIrTne/iifNHqnPt0O2stfVhZuOssJv85pONFQQF8MBbrANBWbzuCf7CV08MfeebQ1X4HJmo3fbJgEozeeov2F2QIH42vOdT6G06i0zVnAFxnfLwr9qAzeAkJgfdncrSXq31xrq8xaiAyajY9Z8sEmHlYNvKoXJ68S1G+XSlM1ADRZNgU98C+8imjGeNbz3p6ipTmCWqBVmY9sk20UoU39Q1dKb21l3He3uzab0+e3w6vsNekk8k9w8tnnyOQMRlTVpWvTxnoAUfKcrS3/2WdLXlfixxlrJfC6eAgyrAJ6SwCQAWE1Kk+f4DTJEfvr371q4PWaFIfQAe6RWHwVJ96B3qR+VLYezaDvvcFFxlXJ/pK1ccP/zli8ME9bXiVGbCXVVEfc8jkaNmIMTkv+0HfjHWZI0VmXI9PfVb3WYM5Z4KUegvQRPkZ6Zsi2uKJ9vY0Vec6jHxvDnZ/HQz6QPk/Z66gc1Ox1zmzfcLDZH+VqjIy1H9zivstA50Da3GxE4kzJvZk6Qx2fCVTfpN5PCXXRaqNK/yAI8Ymo7gUec/4z1BZ2dsx67r6M/TM16IS5KG56bki7tpdh01KS4t9dMNEz6ErD30GWsZltJP7jTiqM0P4jJFlFbSWpMzCQcpbr+bSJ4u89EN/6u81Pa0dGeEZ6CkM5Fk72nYNxsTfokMZ+Bmi4UCviqJY5siU5ZQBLbISb0olFxXi2LJGUbTwPucd3hh/87o2MhLhkjZyAqGZTJRO3j2KIwVTv8rw0S/li7CVbSZSlXL261//+ogU4YOy9TXjN/nLeG5s4FsOlXjdmGac59xorXGffNTHoqCuKdsYWVdgP55xyuSISg7IRdiND0XB0Kiuotgpve4XuVc+R1RrfYZMOJgyuRgZVvssoJDyXXn9RKv7Nwb6YxF0hpn1qbWcnIqkNXd7XWqHu4UfyQh9yX8ZYeGSMTVuxtVnhn0Hq2U4PJEO6VllPUduvMo2BxFZKUKanpuD9YyP7dHO2ZcuUv3Rql/pNwVuMt7TQ9Vhbmi/4JD2fTe/zYu2xrTOqJN+5kAzOAAHc/jR492jw3k2I0+d+m6uZ6BbK+KnsjkeGGu+Z6BrL4wIq5J/eGwbpFfWtc3GnOYUREfp8frp0FKGMGec7AXRdLKCT50FwGA1JnAsZ0SHcWYg65ux1m9lWssEj/AX5jmPyD1jynHQesF5ah0ssOXMIkYo54CzgsgEeYUbaMIfn+gvAIV/+pqDEB/xPyzWn5yJGedl7qSX4qnxzIm9Tiy4Yzy06TmvKZNtWzA0ucrYp6OH3Tk2cvi4h8fNDfeNbzSbi71PvXmWTLTNER277bK+5CAxn/CMHLfmtt5ZZ28i6GeL4Q5+7x70lBSGlsFfwLhdlUXAF8TWQF+DuEm+Bk1lzx7P/d3iS0FRn0lOgStNGG0AI+NmU5Sj2wTNO6vN6MpAaW9P5TPQCZz6lCPU7e/sM+W6ejZiHh19mkT4DYTs3RHlKL0dqPFA65fvRXdTpDYyj0bX41FRcp/t2VHGJGmiGJ8MuRSeFF2fXlHm9MgMO0APRIsoUZQbB7wDRhbc3vlNgaVQW6RN3CI6OQ7iK5ABuE3kaDA22gdEns0zWZRZP/ClBU8bXitivxV5BTKyQIDFOpQCPuX3MDs8yFlUBLuof7SeI+aPN62Sac9YMOzDQpe98Z2Kf5YtY1qb6Dun6TXOPsvuWAPddWDdvGphN05lbHTYintrtEdLkYMWf/S3cKib4+M6ez/vAOqectEw0gEym2poHuDX4h3eGccMdI1m2BZddJ+8GNPmZR750tdyxBW9a9FfGcmo1QY6lKU8mLMUCPKlDBnIwEKz32jRZoaTcp4v/ZIyFy3mifna/GkhzzkLh0rHPGNkkRtzIkzLOadsxtAqHaXJirQ0l5VFYw7DZBRdFCXtxCu8UEd7Tps7GfCwBAbru/mHrvaO4ln9KXqDlwx1J7lTdppfUiFFjBghaDDnU4TKPDBftWWOwjdYwJGIhxRHNHWojv5lgKZEJRedpcGRSsG1XxMvyKa/HA5hGSNH9IjSaosNubFeiqQrS1EtNTOMJBtowT99bH3Rt5yayuS8wfuMq40uZ8w2BzLUM75z3hofPNAfNKE9mdKndeb4XoRznUfaJ8/+aq8D9+JdESfj7d/Y6F+ZZ5ui2tlEWgAAIABJREFUGUbm/ErRzjlbFl3Y69MadC9jZPj4yle+8gpXGGZk0Fi05xqvykZcfMy5FB6WQh2Wlq5NHjvAsQPHwrzVtQL61SHJnLY5zHw6FJeuZW7ngCJfpZ6bA2ShDBbyQG48b27qUxlH5JasWe8z8nPM6ltrMdrJPOOpN97kjCP/re3pp+Ram+jLgaRN98nuZz7zmSOwEl7hGzyiP5lXbQdpn3QGXryguzUflDWO9BCOFZk/6u11sL0vOyM1g1CbDGfONY7L5qLxEKWVoSmlXd2yodJBtYcHDHlp665/73vfO3S6D33oQ0d/GfRlJC7m4JlzkPAs/RsWKusd5g429lo1eiY80yd06osIeQao+wxzzgVyik8f/vCHD1p6m45xhJVkBr3GX/tkRZ1l6ORczKj3XM5u5fqdMzvHePNAmRxXBddgt+tsBWtLesXWAcfw0jjiQXjls7lW9qWy+kZ+w8bsG3WUTYUXZCVHLXmNpnSd1d/1xX19KVsjm0w99s9fZ3y8KyLo9teV4pJR1mKfF9+gXoqgB7wGLUOlNE2/10jPKPLMOdJ+O4cAwSEEpXjwejlpMY/sOYJ4jpwXzbnkYS3VKAWxVKRAPuAvKuV+7elvQH6ODJkwrmW4p1gTYJFzEXQA2eQBzqLSQEn9tYv2jPNoSsFdi0OZPMmu47PxsgBtND5vY89uNgAj3XsiWwwopcAaTbyhaFKvcWofnjGs7WhVN89qJ7/7nQeuEyQtMBYz4I6nFppvfvObB6gD0Q5cstfKWPtLwXdPNBMf+wO26LQ4rXMlRas9WvGGbOdwyEhO+Uzp1Neiou3LL42VsyDnRDSk3HruH//4x8F/4ATsU+p3iwQ6oyGZOp+DoG6y73qe7Qybns1QswCVVnQ2xms/4PSMejI4fSer2vKnPLm5SXG/FUF///vff8iDhahIdWnpGTQwwb0W3jWizY8cIWQMf/NGl7Vg3IrcFJVMZvJkr0GSYWLccpZSXslC5yLABe1VZg2oxbmM9FUmimSmPK9cZZSp23WyV2ZAhnkYWfZAMh+m4VVZLuqBPWQSjRx+Gf5l0JjfRc7KLkCb+uJ7cwYfcxwXuc0QTzHBk06ozSFXyn3KDnoyeGUPwR80w+7wkLJPSWvuuO6f8Q4nwlRYk6MWtjL4U/RLbfUMeq2d8JuMqYuS88tf/vLYP4kPUuaNLewrs6CsIvV+97vfPeqAqdaXDtos60r/jG+KH6NDv9qmUGZAa4YxxuecOmV9ZOiTS7wje9rnNKXcZmiR45zsGeZo45RFk3HNkdS4obEoY22jMQW0eYhm9RfZ0u8U1Prps72dvucwSI4vYWRrJz6ps+yX5op2byLoj0XQGVsZmekipaWTpebrRgsbR/PGvMBX62iGN5kgl+GsceiclIIu6WyeJf/rEEg3NU7ktSg9A046eGtq+lJ4vRlO6Qxh2Tqjilyns+njyl39yiGrfX1L19af5txuZ0kXLjqvnnDOHLHtkL6mrzkAzAVBFYGesoWSX/V1Dom6XCfLi4/KwLTwHx6phz7WFhg8z3FQOfQbf/q4bZr62qFjglDaEfDh0CygYFzhrhR4WFFk39j6jlb9YLyrF5+UZyza2rMZVXRTz3i9mHeZP/DAA4cDxhZSeh+nBd3aH4zWB+eL2JtOt+QgVK/r7KD2dudcSYY4WjuVnbz0GrgypHzmyDRWZfO0NcK6bPxF+B0+apuA/i8+th6YNxzCcJ4jBt82iOJ3emprexlybTPJYMYr7eI5vLUelZ2VDtm63qsus/VymBrrtc/KZsk5p7w2WkuVzyF0k+K+ltodft896A1WBnrKfIrDVm0SFrnLKHAtj1+GeUojBScveantl1Lhz+RnnHfdb55aAkIpAUqljZzp9swa6ymF6zCo3iLkfu/+c7/XiE15yytflCWDfMtnoCf8gI2CQvFkjPorIgxA9IORmZEG2Nrzg4ZNw9u+pjApk0exfmVwlZqUUpXHt5M60WqPigOHOi18xwJgUrgoVtJvPC+TwaQHvP6A+Bqp6NUufnbAUVsoGK0p5EUnKJwAilFOfgCze+oBjJRjEelXv/rVB7gCLtGhvIieA0DK70EyyUAOnRxP+N2iV1+1l0Kaob9Gep5E9PsjS5slkMKhLxRPe4c2Y6Q6tdv3+n/JgdTCTJGoreR9IwRlh9SPlZXNmOi+xYK85EAqmuR+BpzvNynu//0e9Iy4POBFSjaS3oIbBmbk4mepjGTMHG6hK/XZfCefxsNzPlucG5vGMOWq6IJy5I+BR/HotPEMSeVycpK1nEJoWSMlx00GagbSLtAZ4D23squN1pIi5GWWlAaXTJbyn2Gmb+Ff+xbJuz6Y3/CBwpPDthTCcLd2iqY3x5TPOVD0wDP1LeeHcv6LpOMh3DMmGWfSStvnbP30Hba3R1ykGr36BI/UjXb1mqdFSlKyzMGUY1jZgXdFTYwDDKJ4wR11U6TgcOmbxgNGPPLII8eWH1uVPv7xj9/3s5/97HjdUfu7KVCdwltqLD4YM/S6Z10uTby1Eq3kJCNd+RRE/CxahxdFPEWbUsjX0aO9TvlVpzHVbjiYUrjyXXZf2IQn3S8yboyMcWntrueAMAYb9fQ7pw56ktdd86xVrueo0GfytU4D36XGXucI0Vmn+l//Toe0paN1rS0IKfY59LWdAWsN6kDYxhcOtr88hd8YGjvzyqd1XJvkFN9zMJ3xsX4at9ZK42VbircyuO5gXgZLkU/1ZvCHQ9oJ5zI6kvf0N5+l5mu3cxzCmGTb77Ii0V3AKh3bmhHPlNV20WF0dV8mDgecORyuMYKVF8lWL2z1bIEEchy+qKs9/M3/nKF4lU6TI98nrHE9vdZ3Bri1hh5pbnBeeo2aOc24NJ5kIYcZ/Un2j3Ked6AdPsMr7XoOxqkLrT61i58iyvoTrtCjzWGyowxMsZ2QUS+T0zpofNUPuxnEIuS2HXrNmgPi3vOe9xx7pPFIOU4b5zDpIzlpfMtCg+fkhqGPfriVHgtv9EFb+m0MCvx1EKBMBN/x0xgWmcef1oPwHm7bPiCrAD2t18rlIPQ8GrWZ09nvxcf0A3v9c4S0hqoX/9SH9/pV+Rwl5CM9cbFD+YJYnm8LRdF1dcODGwP9aSBu4Gpy5yHMuMF0fwsuLYoEA/NTzAhtkZ2M8iULOJSCHvB0370WWdc2QpxxtRF0XjIT06Q1QdrnrC8Zru2R2ehzgnM2wLVZGuTSnHKX8pc3sjLRmYBnDLvvu/Zqv8nL82lievWWP9cBlr0v/pz8S9B37/Q5TTxA7Xmfldlsgug1LmukKQsQgKV7HQBi0Sk6vnyozrxkIteAg4FONiwIxpaHMVnJKC3yUEoXnmqjiQ0UlQWQousWX7RSNpMFxq570qWksVNAH3744aMehzYVwcczirB+tbeslFhlOXRStoyZBaqoiDpKW0rmS3cLpFNIgWGKa6lQLYKdHttJ+WcDXd1rpO/vzS7JUaAs+cg4QkMG+pZfAz1lM6/9JQN9DfKyNXbMya4xcADMvax8plDhuVRW+IfvRSNyiK3i3viGkSmQOfFSUM+R2pxw5HIzLrRJtjOQ/M6JlMGiTrjrWQqMVGYKhvvmb1Fa91s4FyNLIc8ozxvf7wzoFOkU1tr1u6yL8KJ1oMyaIpkZYP3Oseh6URvXpLin6KKfgtE7yWGNMmdDK+fIGug5U+pj9JUJ0dzy2dhRdI0PLDHWDHVYBU/619+Mfe0VlcVfkREYSaGDsZRYc9fY6It2iv5muGuL8a0cWvTPtTJ81MtAkdmUQZBMUF5hkIwdyu6f/vSnw3CkiNnrKcrOIPJcr8REh2ficbirL8Ybb3MokPmc0q1v+Gi8eq1kxjA+kB/88kxpwZ0ZoM6cHhR1jgY8XUf4Gumt2411jn3tN06dXtyp1DkJwsizgR5GGlv9PRvoG61KttNFGnM8otB+8IMfvKcxMh1SkCGHG7ky9ulBZOG8juYcx3v8LoDRHCzSTt7IgDrMB0ZOBmaZPfSLZEH5AkiNo0+0mAOe98pMc41RZ44UpW3LIRq0t+nm5CDjJYM+fHSd/GYoreOy7zkTM/wzasrCUVdZQDkOc+jmsNVfGGgLgQhrTiT0v/vd7z6uc5T4bA6soRU+roFetoC5oN3oKwKL5x3Ml/4fLph3+Eg/o3Mx1PHTZ5ioD2W9FF2HT7LzBNu0KeCijDR4+jz+ayOMhh3qFERCe9sntN9rFeFMbxlKbzJHyZXT7tVdVhYc9XphOg7dW705IPQX77QHV+FtfBHVR6d60VEWrL43/kW01aNOjlY0JCPGGd55Bp1o5khwvpPfvYHFdwcB0iHDoHS0NdILCkVj5xbpAx6iVdYV+qxj5puAl/Jlo5wN9PT4tpKcbSbjYn667tkCs+jLQQAvHf533bcA3TUp7ueU2YQB8wOejXoHgu1zNVAm+9lAz5hJYM4G+hoGa/yuwZvhbWK+7W1vOxQVqSKAyyLZgTY5CTLuzsa1es7CBsDyml6ipTpaoAk8XuW9098WmMpuupw2Ca3JQmm2X9uky8DmHJEiCRiL8rpXFHSjoRnvnfyunP7Eq3VIuAbAU1KAXMqpPmekqkNKkMmb4dZiWsQ9vpS6ts6KgGkPRzOxAYc+Uw55L4ueU7TRAYgybHk9pf34Y1ygueeLdJNBModPpRVRhNGsLvcAorp7f2WpZ2gzToEXeQG8+5ecFqnOidC8IPub1VB5/To7UfCEcWvf6cpNDok10tcRtEY32nhbS1+N1k4i3SyBeJTyvBHNUtdX6SyitecxdD+FXR3eb3pjoD+Wwinqss6OlMMWz/hclMNYtI8Ln933TFFxctFCa9zJtLmM30UsG8d1jKo3hbPFOaXAvLRwStWTwUFZopCW+psBnMwVPSfj521JRQp9rtGdkpriiR7fi16HvepEV4ZsSqH76itlOSeD53OUUvooNvhufnFcKgf39/Vb6giL9CUZ9pxxaF6aq9HdtqR1anTYUAco5RRRv/FQt0wh+N0e/rIB3DN+aE8+akOfYWYOFf1Cr/+2HqARJlKi1K3NDgq1F5Tyq26f8M5f237Ua9yMsz6Uwp3y7zcD2D1YmwMxgwdOZiCRE7SU5gorM1xypjSWOUWLdOElfsDVDBHXwiX9QlNRIs/ps3e44wX6WzMzjNZI77s6imIaz3QPuG+8ixyFka05ymZ4KJOCrb4cCniJ5iLlORzKDMR39zNIw/V73YkZPzjsFxPL/MFjuMaoTSdxzV9RdOuzdQd/M8zXCdrrvtpipu6i3eFh49Nv4xbGKt82NTTKYLSdjwFhXnDs0yE69Ty8LXpOpsmUeaTd815jhk79zWgPF/vcTNRkDA6S59bj9nqXVaMPaEEHun3iGQNXhpHf2uYcEbFWj3nlOd/bQoXusho63AyWlqGpP60FninibbwYvsbGeMBk8whNsAPtHYT54IMPHmnmYQAswYsyxfAHbqDZ/FcfvqazG2NGqutoU68/3wWB3vKWtxxYBifK2hQsEsBRt8CNU+X99Qo9faLX4g0sYiu0FqcDehWuOumgsA/2+q2sczzILt4z4vWJ84P8khfys06a9ujjUXoTbNJfvFR/50ShGQ/VTQbDH9ddM44cGLIUcpDjpfo6ZBQdyqZHZHSnf+srDN89+8auwFIHOnqu7aY5inLG4+dmcXRWQTTB2IJGaCHDZRgYX6fpX2cd8q4x0DF308wyxjeCnpGQAmMwK2dSt3iW3rkGfdFLglrad1HoFrvqN5EJQqlJpSgCozXQlad8Fj0vKpRSWf2Bm/ItyCmE55Tu9aZn8ObFT1E1UdzLS1zERv1FhLRdpMOkBi6E2T5CkYP+3vCGNxzOBkBgIhR1PjsSNq19DfXdt5zyWN0tiCYsAGziAgll0Y2nZ8OjPePqiY72hhX5c69IT/Soy5hrC5gBNafEUxT/+te/XvWZQibNCNCqdyPPOSTQhx9FIs9ySAa7tum37eVKBi3+lQNEpeu0KF4RNdsZ2kvkOUqBP/WWrdECCFg3MlA/lHe4hxMsk+2VqzXK15heWoCeCFwOmOYCsGt7SQtcxqHnq095dRRBRGfzTrn4vM+6Xhq/8jcG+uX3oOOTRbFMEbhwNlyLCJf9UzTAIl6qoPFJCTQ2nQkQTmmjlPPGMUXU+ME9f+FSaZ+iKAz0nJdFQXJQqivPdynp5CZlqchNiz/soqTVx+Q3BaGIa7S0LqAxZ4K+JH/hTXRQOlJORUU464o4ULAoGOps7xw6Yc5GezL0U3DaNuCZ9nyiz3Xt68NGUs2r3k2rLRip7OJMSqdnw8jWk4wLY9H6EI/xsQOLMkA71IeSZKsOJ4R+935o9VC8rQ14ox/Rpx+Ua3huXBoH/Sr6hn/aLVU0xTvHJ953qA+MLIOg/mTI6r/vOYFb88okwcO2ZaivfpWpURqucdEnZYw3B6ksA6moRdw2SLDZGStvGdVkHV1k3GeYnFNFf/GgNsvUiy/qQWMOXzx1bZ2tjWVRM2XIsLqMsbI3Ke6POTAz0Fs/jFkOcddy+OXYc7/DYIuWtleWjJh7neid/KnH88YwPSQn8+pHZM34tz4bxwwP8mzMGHScYtohiwwu7fZO8Jw6pSubW/WH3KDdHHBdVLvTxtFXNsjZoUR+wqLW8bJpPNN6gnbP6hs6GJgiwB3gLPpr3iiD93QphpjfvXoQ3nQmgD5n6Ocko/fSZ+Cr+ZjTRBvaT+8y7/ERTuGTdl3TX3XAGPXkoMVn8xgOqMvvXkPWyfLhTvTjY1sN6IY5B80v65jDamG+FPQCE5wFot+MWI5TRicedJCn/jPye7Uk/sb7MjvQ3pt0eisLevHEZ9ti6LEdYulZfUP7OQsuR3VlwnzjR2bwy3flckRxSoRJ+KAf9tVbB2U/cUK0Nq6jHO3NpcXN8LG1ni5QthEaCo4ZE1hGftSf3Ot32WnqYLiXZaFfu2WzNRBvmn/KkIeyPmxNvTHQV7O/g+95P+19TjHImOlAC6CIwaUxrBFfFDEDpqYByw6k655bz2RlM6KbNHnZ3G/QlXHfBHzd6153PNop7pvWnYGi/UAy43yNdsKZgZp365IjQh2liKfAZthHtzbPfcigz8tfmqR0FodXmBDumRzvete7rtIn1WViFv3J4NNmEWrfo71IFCABMOvoiHcmob7hXxFw7TS5fMbDUmnj3ZbXf3W0TzYjIiWmOlK+4yeDhGfTOzs7MM2zFCtgRfYsBvgBpC0gRbfVRf42JZvM1c+AcB1BK/6lh3ZSb/VoQ3st7kXHezba60se8rzd2s/7jJ721Hu+seOR/epXv3p1UnV1G491iHQ9wzrDQWp7++3OUxod2sfzFGfPezbZ65mz8Z5y4350NLauKQ9g1XuvR4fwI4y0X63zC/C9NC9zpUhvkYFdSCsbTqQgkaF1mGSgqzfD3Hhm4LZoGt+cK0UulXe9Qyc5vnje0YX+5KK6S0dvkfdJbo1587loUvJo7nguBWCVA/OnbBWYkfNyM23CyFXU0R2O5CDWHodmsm3tkRFAgfYsuYff2szIhH3kVtn6kLMSzf7hpzWuSHtZB/FmzwPIWDPPcgrEY3TFC+WK9OFtihIac2igJ+W7CLTPjHz1UZBFguyh1A9KNt5pEw299pKM7Gusctqoo3Tt+LxrJ1oWI9dBmEGVIRJG5nTGxxQ8eKpN/2Fo8pkjsT6iVV0pwZTeZASN+kiOrYcckftXHzIaGo8iRa1l6kD/HkaXPBX1RM86F1Z+u74GeOXjXxjpOrpKQ/YMnn7ta1+71groee34X/8OHxlsObCNCbmAR/hHVzN/yU9vBYgOGJVemNFCZtTbGqusdcvzZID8tv88PTGHDLnzPdxrfhZNpV85YI2B1z7pMvbQoW5yqv6u6wNdTN1wQp36S+7M7QIEHZi4GOderw1TNmdYumUBg3QRdHq+AILvZeH4hOuMHuWTRa8V8xsvzVcZmeiF6YxUupZ7jOt0HTqofpJj/ZShw1FWgAMffC+rxNiiLWPRPIIrdDa4qg7XynBKh1I+B0GY7pm26mzmWFurcha29UUqukCPtPgcL8aEfMgw5Mg0l/GDI4P8cOq2FqgHP9Tr2gagPKP+nC/RmnzCZn9kuS1Pni97q/T/HCLGrTZyMvvMCRLWlA1BnhnBsqXQl+yTMzIq26M98NFU9vIZH1dHMFYi/CLx6tl+FWnnMMHPnJJlU2WLVf8a4MZQ3QUHCuC1RjT/yJzvzkq4MdCfIuoGrjyJTZ6UsDxua4RfMhS61sQ2qGfjXJnbGeg9v8ZlC+d6Rd1ntPAWAjyTDugURdGXNTQyzDe6WnTgbBTt/sM8h+e+bmpjKR3KoLVoQcpeCgY+eA4oA0oHVEipKerqsB9ewNLbgQ4+xT8TZ9PKa0/fVinzXB5M99awrh8ZAymRa1gr30Jh3NfY06edjFuPexnzxipltCihtttHaXFwEjbAxh/tOZBDGlFZDKWmxl/jQgkrk6HFsDT0PURvxzTPc8pn99aozjhYI129RdcoxXk3Xe/Au8YuI929c5q73xa8j370o1e0bwT90nRNadZHCk17z1NsS9vcZzda3veilim1Pt2L7kA3YE7J77p+6jsZ/MQnPnGtwfUpwt4dPRZGSnFvL2Wyo6IyNXKM+Ow/3NuFNeNsjbyilBm2fptPyUSKo7Fyreii6+aj32hqwRVp+M9//nMVFS2CRP7JB1lonjf3SxHOkVkfwrTmuesZ+vU5OtWlf/qWweteRl24Eo6Veu53WVkM0CIXRfcpnPBzU/SLUuuLuZjBWKReW/qaIu+7PqAtJ3C8THlpLuS4WMM6J9/2Od7ocwaBfqdkx5fWVDS753o4rz4YR+E3Tj/84Q+v0irRSpFVJ6eFNa8026K4YWxpvDkK1O/5siLCh6LtOTjCWtdzOiW3PdN+w4z4nBsUetlgpewWUWw89M29MrZqAz/0lTLP2Cj6ujQufjV/kvfGvjdXJPdlS5TpkZFT1HXHS50ZUr4nP9su5VNbpcT7nk7Sa+5uTnF/LIJuH23zM6zAS2vhHpq22Jih0PiWpZcchrN+F9BoTq2B3viVmh3meK4sGLLFkS5TxR50288YRuZWKesMRzLcHNWPttWgDb0wopT7ouX6lPOgaGhzPmzzqS44ZO61DxiN5mlbKXJCZXCj3z39NZe9F9tJ5v60BTcEecglh4P61jnlOtrVq06fzVc0mztoMnb+c8ihtXUnfCzlPmO8LVmeo6fEx9YWPCggoR1tc6621rTeVd9mwpIZv/FWH2USocmp7D2n//RHWxSk19NbysYqiosXMFQf1edZ9Ja2j25/2TmNaTpdgcCwq/L0pOS8LRo5gWGb8hzlDhXFU3LWWzmMNxn1qU9koTR3tORARy8DV4ZG6/Li0xrozYGMawYyA12/PI9ea6i2wr0cCOoh86W14086Seudvqb7p0saS2tD63T4CA/MM/eue4bRXZXinmG4xgRga2F8PCMjg2+F5myoN2ED5AzZIuQt0Bl7W47gOaSBQes+wctAz4BUXl2AiECukX47rVyZTe9bQ2mfQXuLjetFsS/V2yJeVNikZqCKkEhjzBkhMiR6IK3Hgu+z9rUVH3yis89zmymFe73IufoyJjuJeCMG5z56bsepMXddn/E1cOke/hXdcs245JVD2/ZJVLlXsNlLSW6ULz3IpEZnKUnoK3Lpu+tFNYrQGO8UpsYzmfB7DaqUtk1lTA7VvxkARSop0HmeA+WNorfXUTt9N+Yf+9jHDlAL/G4ng3sd6JGJ0s/QmRJdpsTZEdU4mG/u7cK4dbcAr8LbwmMMzXPnBQBxv8nndfZ+Phl+Pt0yGeicFfi3kbWwbiN7Gc9F6tagyymS4tOc9nsj0mSmMik4GR3JcylkRZS0U7owr3n7lVM+yE7OgbJHmsv6tNtAWuT71GZynxGrvV0Pcmy2J01/UghT8Fbha86pg9zqB5kzb5q78KaDI1tL2uenrhS9jKvWoMajMUDzYtIa5Pqtf/jcWOd0WYxIjtSdAZrC0rqFr/CrCKJ6UtT1DT0ZFmFxESRYY+6j89e//vVVamiv/cFfZbVVRlvKpPHTJrpaW2o349JYwNHOOCCLOSzVjScZE42t/ifjjZd78UAbKf4U3t5J71pjot2cEclR6cvWOwY6B0zjsAroee7ibxFRGIVnFP+MJuU5e4vKNj5oSVbLDGzuFXWq3aJr8QNvcmi5hn/a9pw63/e+993TGLlZmOZfMrUZievEj9/NzR1jhu/KpHEr/b3yrWE514omboDAcx2I6btxI7+cfy972cvue+ihh45XlaHRPKQ7lAVXxJgsi7Y333L25+whExk6+pSBvs6pDW6hQXu9gtCzvU1l8bHvOTvRI/tAWdgq40S2DdlTv9fb+adn4V8p3fgKS8NN8xDvOmej9SaHCcM2Z16yH66E0fQ25YxJB/Od52hOTXNzt4ApB0/MT3w1LmQnY7aMI/NZHdoxhuY2XUi5HD0OC0Y3GkTP9cWcLwutN5gYu7ZbipK7n34bHpdtiy/WGkas9ssOQLf+h/HZQmXLhY8FevxGa7huzPGL86A0fteSM0a9utCMJ+6171+b9A4p/MpvZt4lvYZMahcv2EpwinFuXHsNqHR938O/dOrmKz0hHZoMrgzrmzXKGCYjrZ3R7hlp9RwbxscrDa+zDnlXGOgi6DH6bLCtJ9C9BtLkWxA2mVP2N53O8wQkBW6NvzXQi2oUPe+zMuo0GUuH2wh60fNzNHTpqF8ELpBPYd4IeuXWCxxwFWVGWxNW+SImeZaqo+g5AZXe/uijjx5KdAbj/ffffygnFBWTr31NpUmXhoS37fPe8WnCdi3joVTCcyZCkfZzeoq661MR2O3fGu0tDNrKeIzPxrjoeW0p478FTsTF69Ja0Hh93c8IT8FcA12bFqCNpOtzDhjXo7fFOUVev9pTngGOr+2R8qn9HAPJOMDmuW3stWGhOEe2lIXaAAAgAElEQVTQUygy/D3vWUDnBMteyfZ4zq3GD/8ssM94xjOujJT2XCnTnvJS9zct+QzY+G8RI7N5vss8SC4y9JNrdYiEoEG/OcOuM7g+XeP7yTyfAuoVLfie0l80Dp/J3EbQUzrIRplDObUyUouQe7Z0vYztvNUZZUW9M0C1VftFi5QRZRVNUA7O+CyiQh5LT0sm0JZ8V1+eemX1vbIbQU9ZTqY9W9ZOzjoythGwjH31kzvPqDNFtxTpDgdSRvtSGHMyojXDKOPZtZQzONTJssa2tlJGXQsj0Yn+jK/SRYu0F71pbpRmiJ/xIsejesPPsqkySssmSFltPNCa4uceuiiIFFMyJtNKv9AHo0oNzrnSHEZLjtuci2jNSbGGaEqVe8ar/dcpk+pRxtiTl96+QSlrDSqVWL0UNVH0thbgc+mQGeieQ3PRGXX7rh2KooPi9I8ina5xjgxlPOd8N3bWDdhqDEqNVq71J3nCW/1rzKq76BE+pg80NsZsMVK7pXBaO6zX6jcmX//61+9pjAwfGYnhk3HI6WgelJ3ZOJb1WKZMRmlraY7ujHDjje9FTtte4P4a6EV0jZ86yi4ig8aY7sE4F92DM+YaWjLQ0do++LYXbupzOJIxzKhiyKU7JPNhT8aN/umr5zMyy+SJV/pBJv3Xb/PBPPWs65wKzrVBe+v7q171quO1ixm45mqHlJFbxr3+pYv2nuwzjc2LxkAdrRfob47hMV4ypOFrb8oxPvhsjHL2r87jnvr0E+30QbKjfwzJ+KzvaIQp6vHfdgdZhe4xOmWueC6dJcM/J6n5q318wesMfNfatlRQqLbSIZVRn8BM+muvp8QLGGOtpR8yeBnf+FMmKBrwSRnZbOSkzAplW/t9dlhf9hfetvaRRxnDYXiZBrfDx9ZY68hLX/rSgzb0GqvWKn0yBviIpjIFWueqO93RHDLGHAnq6myWtTXU1x52/XnOc55zrNvG1An911mHvCsMdIZiCo8BMSnWuO03AfHfZFuFJ/BNCTDQ5wj6KjIpxxm3pcOVVrYeHmVM5He84x0HqFJcCMS+Yq3JdTbKL/Ul464IaUCa0hh4+Z0CC3yBj/9SNtG8hnzXPQ8E0KKMdGeHXUjDMWm1S+jtvwauFBUAwrOovLHwrLHQ75Rfz+zE0E5G615vfLoW33eMTMicJe2zN2HR1mnlAWzplGt8F8VpHM90Rdt64PLe8giWptXrLYx7sqNP7adSTylJ+IK+xjQ6ly7yCRAzYj1f2npOpaLc3fOZ/Cub4ymFN+dCBkc8B8otaHvCLF5QHu2bohSQ390acMkwJGvAT1oSObLg4T8+bHq77+2LUmcK5jnat7QDzWjHO+O9hkLGisVDWhY5s7Dzwl5ncH0yBvbTLZMC+rnPfe4qtRvP8ax5ac4mk+ZxyrwxgIMZPhulLGrp3hqyRWjgWYpr0fO87mXMJIeeR5OouRRAMlk6X978ohXKNldbjDfdOgM9RZEMpnjlhEBb0SM0roNOn91fp2WKddHIjdC61vknZM0cLTKu7T10qigwWS/yU1utNSmjRZdT1NCTIdsaVhp4fG6O5gBxP6UbT9dB2DzKEI6HOTTwoX2PZ8d1a0h88GyRaTT0Ng+v+UkhLNKya1MRMfxQR9Hf1rEMhz71H0+VpbTtAaOtY0W80Z685gjGw/iqjjI91Atvc66SHc/oU6n0aGLYwma8aw3817/+dZQ1zhnFzYfmbg6hxtiaSVZgrLo8i140aBOv6AatpehpzLdOsuNeByWlxGawoyNHVXKung6m4wS77imcTxf/nuj58FGkDB6WUZFzJ53DHLcOkbkdL2OrjuZgcyUZ2FT2jP7m9EZ6jbXf6jL2bceIptLEbTtLJylrUX0dYEYGcoqHj9G7BnoOHnU1v6I9QyocKV1cnzrzJ8dRa0nrQRl3ZNNz5hS5th7/4x//uNIh8VU/bRPkUDe3tC8V3Hz0b+65pj/q8seoLF2/Pd/oVVY/0NHZJT4zzPG2+Ve/GL/p0IzTMszUi7edQaC8suhwvS0z5m/Zk+p3H73RVTSa7ISP+kFPwQ/OPc/BS/oS2fI7/CkLEQ+Noaguo9GcxtNwAiZlgOsDmjgBOiA4HRRvPK8umRDJX7omvQqd6EezsYWr8JnO5ndrYBlUaCCzZMPY2YsejqFbFiY+LX6l253xkeyg7YEHHjjGWB/Q0hkQpbfDLQY0/qJZO5u90hqTM9bz9rE3J5vLZBTPO1hQP9X74he/+OChvngt9nXWIe8KA70IuoHZyHjeplIeCBJB2ehqimnguZ+b3vZ4QN/CniG5Bmb3MtAtjtokJO1tyyNVG0VUUxzrU8Ac/dHeQQc9n5Kace56IF0ZvDlH2YsSKKNtKS28nSbhI488ckw0wsp7BSRMJG1vBJ2Q62sRiyIBfp/pDOyVLxracylVRTBSNvQpL10e74w84NnilLJqoulXBrkJ2X7LrsfXFPhdgDd9HDCjleLpBF9/DvMwPkXQO+U4elsk9RUwob/DntYIz0Ct7QztjHHXi3IbmzPIpYAXEW2c/QZsxtCfNtWlPcCufuPnL2+kT/d+8pOfHK/vKMX9nImwc8KY8Lb2ZyHIS25cGt/u58jazAf31tHgdxGxlM8WV/eMnzaMp32g+ik9uu0CgPk6g+sTKY//i/spoPag47lxKAWabObtzpDKO59iqkw40xikjGZwq7csh5S8xk7ZFvWUOGWMs3rJVMayCMvzn//8qz2LYVTbZcJFdW70VlvtPcywqk3yYb50PcOY3OWIiM9nRXbb02aGvvIZ7Rnj5r0DkMo+yEErMtfhkp7XZ8+YU+ospc/cLlKWIp2ips7OEIl36nC9McghEcaYj+6FkdrLGCwaluMEJijrun61TzynLv4bY7xDr+eUUT6lNtzJiMZzZ2BYb2W1pICiv0hf8pfhrA48qb2V09Z2nzBd20U3V2Ev8wEebgRM/8LNouDKxgMKeKcfqzelGt2e43xWRynqnqMUc9RqB/7nuCj6WfvKlr5vz6k55jeMbH3slOWi33id06SxVX+BgGTQPX/n9SA9pmgmgwDOazdDQF8+85nP3NMYGT7aGpVzzpoBC3LmkAvzORkpey7HS8a8Mot/fpNNsrSp7uvoNHY5HcNKcomuDvVqfhgv761Xn3mo3QzJHJhhrLlOXtIfOgzM3CkwQ3bIQm/JybnqU/3uZZyj03rKsAufCni1Hmz6ecETxhQ9Un0///nPD3r0L11Qf8zV9kpbw/UFv8oMLBKsXCeQRyteZGSV6aBcB9s1Z9WFJu221Q5/0geLonaSejjrk3GqrL57Hj29Mg0PesVdz+CvfgjkdKCz8TDOOS2sdV43h2ZGoPrwQB1FfNGeEzYdXnllzWX93O2TfntePdrWN+PdmHWiuTpySLT2GcMMVfKtTBkR5BhuwXN90yY7Bs9cM77WOfSizVgnd5/+9Kev9nlnpJtnGyTVTrrlK17xiqutAWSnrEtOnHSX6GrLU/qptUj/CzploLdmNO92jhpXfdUPr8MjT7CgLU++X2cd8q4w0L2LGxMzyhK6DK8M3RRNnztIu/9iBzGP20ax+55hoS0C0u+MzUsRdN4kEzwDvQi6OqLxUuTf/Y3k+r1OBhO/qGl9Lw2z6CeBC5hSKreejPnK4Sfj3CdPEkARTQ0UTH6viDBJihL5NPn2neLa2Mi5303GTSlzfX8X3VuDDo9NbIBZWvsaMZvqvGn9aNro0aUIfQ6BgDDFp/rzvgEebXsPqT8pkv7wZfd6e37TS40fXmXwoyfv7SpXjWOpThnx2lc/MFzDXttF4ncveUqbhWk9qeskoXhEt/K91sU1/HDAx/9n7053bcvK+o/XHXglvjAhIZHIC0TaYEBAhABBSIESUDEQxAakbwREihCwQUARRUBEQQVsEEIEEW7Ba/AKzGeS7z6/mv91ilPHItnnX3snO2utOccc4xlPN55ujOncAQtb+LxU6k4xU6D2SfnLOV+5CX/hJJhzPvBdf1Ua+KykLudw6e07eIyL35VFlc0kx2XvN9N2fv7/998ZoE5rhs8CRuZd5tz3HA/0if4FrNzPWfI9I9D3gos5nq6VhfV8mfQcIXxfebTvdIE2rtEzdIpFHjzuk4dkkewYeyubcmIypjOaC+T4XCem++DEk2UswIF36C56zBjhKl3aXOlt8Oo3vBRI9LnZdyX75gKOsmLm1TYdNDEnOjLdn6FnXG2rGAArPFeGvkGRjF7z0L7XFZXVzagpO1b2oQDMzrExMw7jg4zudJtxWkc9r71ny+raFlUGhP7ovdEZ8p6n+7Rvzyrcw0NGfxlN/eYYFGyBB3jc9RweOyxreZ0OAEPl8+nZyuV7i0gZwfijtcyaAyZziKcFBR2i5Br9F19uBj0eyeEpOFpwA37ajlDwqPmZVwEzMpnTCLZKjHMskq/VZ/ozH3gyjvUcP8K7ftHzDW94w7U2QH/U+jn9yIaEn3MlV+tJjmrZt7ZvZC/m5K5ewX8lDKz9lUH3vQxlwb+ChnhuK5lyMtHNGThlOvE6Zyz9VuJhK+w26EgGVj8W8ElXul+wNPuhAKCxOWUcP8GqtoVoB9YCa9rLctPh2mgPPrqA/ahKqr3B+NvBuwUFzYtDa/3gVKKFuZAn8rWVAQVkkx9wgKGgRs5wgaocS/MgS7K9nNRkNoe/1z76jQ4+XatqJtjjm5xi7XII0ZEzXAUqGMBT1Wdzcqq7fp1lpK1ALke4A+tci884z2wmtk7VZTmXfuecgqMzf0qywWlBGdl7menmmXxZL4yBbvRbdloJEPgvOJutZk4cW3wt82yevWfd2PSjt8egPR6J/9fexRtt6TCGBAt9VYChAJR54S24zSZM1+OBtiul89HJHOAGzloHV59o67pPeCfjv/RLv3TA2vPwdeOg36UWTkgcBpXDWrnOuUuEyDFsr1jKVVv3Ko/XL2Fw/+zcn/vNaMxJd3+ZoeuuvfnNb74KIrQHvf4yUs/9Gz/jjTA3z5w77dfp2gxjGXJjtxfFcwlIfXWfwFXaTnFRJIRWFtXhcJ1gDh576GSPW8DKklKABSvCA2YPRjgGyzmbnqLvNRiLh3Nb/bbwlJlfoV8n0tjuuVbGKcfCXPXdAUzrDJdV3jLwFj7tnKKqvNFiBQdwDXaKv0x347aHHCxFPBsLLgpwtNCiw9kJ30jp7cQFr1Hy9YNfMjgoYHOtHKrSuQ1EbAbdGN6FnoO+VSI5aT5bXPdVQzl78aL55CxTmmUuz0GnnVfZDLTOMSmQtiXunCVGChzb+96eMmPfOOi3XrPWIXFkPnnMGNssdw6za+ugo02RbjSsD7TNyHF9navNCG1ZtIW2vn23QOrPYv+Lv/iLh76plK9MuL5W58UrPYvu+sBbVWsYE2zgxms5MZXqebasrXtgb/7pE/OrTNxzlcwb33dwGdM4OZlt3SCzVUlVLm7eyRKYkpF0UVnqKgyMs8FkzzAk4CVH8Dy/1qB0pL7AqH0GDNxkvFaiC2/mVODCcznABdTgJZx2pgV5LKjmOz1jfUBPBjkDqUALJ8i9AiBleCuZrAQTjsAMl+iSc1HwIwcioxFt4DqDq8/4xJwKLFX+XlABLOCnx82vQ0CrWshO0Idr8SRj0hoARwy5TRBEs8p1PVvWyT1jxvu1hbfObWmsAscFJ1Ymq/Aow6pt5bc5DuZYdYO+SwoY3xjOGbnOBuhdmoZ3/Fg2pO166Y7OeAnnBYvQF/3JIDk5B/HRIXvNOssxQuMcEzoqR395qmqY9I972U6eLxCF9pw6yZK2im2ggIwV+Fv9aEzOT3vmC4rlwOg3pyf9UzWANuAx92xDeFoHDozJKZ40TnYgPjQvrw/7r//6r4M/zZe8y04+/vGPP2wI1zm1BSM24OgamWz/uf7QIZto9SN8cBKTd3jY+aX/wMd2Ewigt/dVa56By/Rjb6IBZ1Vo7oGZQwsOAbyCNNlcbEFjcx7pHM+3FcF+9M9//vP3ffaznz0c9N7oIIghk5ueyV4v4Mq+68A4NIsubREoUNz2qirUwKE6oDXwHNBLD2tfpty1Ah7mRMf5zcHnkAtgFDjNJkQntIMLev71r3/9sQa0Fi9folHbveh3h7MVjG5bY/oOP8KBUnXzRp+C6a2RZ3sFj1ZBpw3YS1J2UBx6wj38mTtfsv3o+BwNr7N+vCcy6Ougb6YHUTLqz5np1eAJ7WbP3b+UQb/koKdMYy5tMhIpVwoAoZ/97GdfZTcqidP27Pw0hoVgM/U7dvvMjHOpxP28ePQs5s6gcu0c7XcPrsydMUUgKJXdf05QKct10CtXDwdlwBe2AiTBso67a5ey5jvn+uo5Si/nNuOoLM8+h64FK3IOcxI2c1759yVnuBJxStm48NGBeRbeHGoKAZyEOgc0oxduwAvnZdBbDOJVvMCQC5au+6xs7ZL1kXEAzkp8NkMfnpKH7ffcvkAEB10gYnn0TEOGTRnq6Bduy3oXKCiym3xEq5yhjPzmF4/nBLlembBn23dkwWrveftfM7yus3K9RMdH+lp44KBXZhcOW9BygFzPKCmLR4/swpdjmGPZM5tBz6DtM2MgYzMHMCOQ/u11OYwVslUgJ4esrPEGVZOdHO41Psry5nyWZW0u7q8RvEEDsrI6Eq9lwIC9oFEVAPrUP7mp0iSHmJ4kMwXE9FXGAN71W/m4+bi31VFt6YkvCoAET/OKThnOZQAyyt1vnSlYUhCmKoPoUcChwETOSGWirm8JpN8FftKnxqCLWo/ps6qYtNcnI6ksXsGODR6lJ+CPjqgKAQ44msY0HnqUhc7J2kygfqIvXqv6oaBtlSVwlxOWPsffZdmNB985UNZ0W53ATO/ET/GqT/STUTRP3+PHDZaAtUoivFDQoflXwhl/wEU2C3hWf+vL/KKD+w5bMleGqPl0MjTaSBo8mnXk2UFHF/iAo3C8lR/pRzoCrpOd5DPH0PXNKlcyq106rIBRzqzr6YkCkiVP2GEO5LVViX5kI3SWSzRPr+4aAs74MZlIV4CJDLZFo+y65wsyBm/z9ptjS6+A1fXVj+7jRzJlHDYkO8k120Hwonlz3sgw271KOzJXBddmwNlX6W0ytNWiBVOac3ZauGDLbdVAtp3nfOegc86qdGlNAf/qR320JrJj8ET2C5ktEwzf/gUbwrP50h3GymE0D+c6CSZ4Hk49V5KQTYXm7hm7tRve9R3e4QKPVP3QnnCVMuC0/riPzmXXPXNJP5pzdj+5ADOagDUH2ZyMUSLEmmd+rsF5B3e2156DLoPeVij4NQY8tI5yzMkbvSUYYm7GM1Z6u2Bze+FLgpnL+hF9T3bjceN2XkBBYPDqTwBBJeyTnvSkA8+CJ22vEIS9zvrxnnHQE1DER7SyqDnmGSctooiVE13biJpSuuTcnw3odfxzIOo3x4YCppCUe3TYBSe3v7Ir/cbkMb5rKbAcPsxelO5SJjoFe4Z1S8DB2MKgHbgyDM2JwInWURIUbHuuCTZniEBRKu3X0wdYctI86zCcddT7TrgpyDPsFGAZ9O1L30UYU9Ttwzk7DxlxlcJ4NgMo+ixe1qAUocsxzqHftmgiumixyUGvNKg9VJ0YfKl8HZ+hQUGRnPQt6Ta+BQMNLMKX4NjKh4UvJ91nC1X310E3RgGcnHH3O7G9ckonjXLQN4C0Djoerqw9OTAX7Ztbjhw4mreFMQO/xesc0V1DRtucStcr/Wr/mcPg8FSLRjS/yaDfyqDbXlNVQvyWEQOfGRuru5LPHMqMtBzvqn4qac/gXFprm7FTNjqHYzPZnX7uwM/vfe97xyLOgKucE5+2d7bFlq5IFvCbeeTIFTDAf2Vv1yih66t+yghwf51lfWZoalMpYZU4eDa+zQDLua8Cx/0y+8YDl9/am3N7ko1dltp3eqQ9gckwGNKROfZlzIwDX2V3PUOe16DRLzpn0PskQxmXBcoKuujDvcrWyX66o6CjaxlUBR/oZnhkCLlfySv5hAM4omM8Z6wq2owH/gIC9Y1v0DYao2f7gemSgi2bNU/XZASmZ+JdY1Tublx0rkQVbBlzZfQ816uLMnCtg//4j/94tYe2gCS4fQezZzJaW9Or1gNj2cx19DK4k0m86nu2C3jL7va9wHNORBk7/cOxAAJ4Wh8LtrzlLW+51gbo2YZ5pH+vg65vclkVZtU1+Bit4LFsMfwXJMrhwCM5FclEzow+XItH+jRmspA+Xn1RUJMNZq0VNP/Wt751wOJsh7Yrcv7ojJx/+oftln5sr3mOHLkpqFX2fJM65pceSO+7tqXRlQLjJXDai03us33MnS4AG8frK1/5ypXD9+QnP/mQsQ5DLJCZQwVujh0H3rPGpj/6zvbg7O+aD07zY6PBZeXRyZaAmn5L5qhEqKS6Nskje9i84Bxe4KKgXUG27IwcdDjg6GUTFzwEV0FJOPnud797zIeDjq6C0jLn4AMbWe0VdnghfWM8fVbdS5eC1/3O7QAbHMpww7ugTkHltbHOuj5+LSAEH9an+NRY1hJ9WJf67r52njd329T0jadVRzjF3bW1A9P5+uQMN2/Z9/QmXWVedHJ6L6fcJ9/DWhot4aVKotWP8W4+VduEemUcHqFbbXHRB56sksVv8N046HepdXf/ECSmjDaLnuPQgrxOKaJVOrcRwrLWu9cx5RyoMc1+5picnSZwis547ROlyaljGFUqVIQq5+OMjtuVAncgmfYp3p7Nsavkpb3l23dGTIy/5e0dDufgI4Lead6eZ5gwLM3Bv+fKohbpapzNeu/YlwIL68y7X4Z8M+X6WKfSAtCe9PrcPVi7t3md+Zy3HPTNnufMnh3hAil4yrs8GWfNu4Ni0Hbx2iEXlcZl6JVNMu6WuRujDLo2aP9QpeDwsZmbgisUZAuu582p/bqLP983EFU2Rr/eZ2yO/ir3zIgGmyhtWSW0K3u45fm7x908w0d4360JGco+N5hU1DlH3WevmDF+2XPPue6+hRwtrrNyvUu197AeS0e+9a1vvTrkDA9G85ykspH0RQtdzi185ixVTuheZWs5PZWH56iXRYoPPYtX9bdOvmv0C6PLgvjNb37z4FcwFVzL+Q72DNGCqgV8Nqu1Tq92+BKM5zJvfAmG9qCH4LNThw8LVuWM+nSNzMO132SKgWzxbzvG7os2t078BUv7wtN/W/KcEZjctX2kbFMZ8k6Ybm5+mz/9RH/3Xt6CHMbPmQdPNDrrSMaYeUfbsuUbCEgHFbChc9OvjGzlteAi0/S1+/BtrHSf37tFgC5H4/Sme2UtKx92PwOtwNI5yA62MmHpc7Bb27ckvcon83MvI7xTm/Ff2W3PoZkAtPkJhLQHvZJPbSqjzdikC3N60m/gRQvjwEFyWea+AMlW+VWlVjAJHjOKy8Sbc4Y93hMkwaf4ItnCp4Kwj2YdmX5km6FjwTd46uC+9gwXdMKTlQ6jm3YFZdJ5VX10OBx64GH8kdOz63YyhLbxfo6da+TGGy7skf3bv/3bg57GrZS5QxM9UzAgR8Vnh8OlHwtWcpDba229XCenahF8az7tQU8/GavKlzLMxs7G5rB7lg0pg6vMvQoWp+YLMAQ/Zxss7nO+PFsQqqCAPvaPU79zBE+JCX15ju7rFO8OYfOM62SLnibDHFn9e04/xk9vcDzTjxsk8ywHG70KqllD2r7qmXROQe5ef2beHPQ/+ZM/OcY2VzpacAFt0/twaRyf5lYwwDW8hH/xAR7tLUqy8tZRbQvq9tzt9GNrGDr7zv5Hu4Ke+Ad8eAJP94pIuNEW/5k3eMBC99CJ733ve4/T+8HqOvkCQ3zogG9jwhvcxLsbeMH7/A34NHZnwBSMbP99ur51FF7ic/O3lu0Bo/jBs8Yk/1W+skPME494K9F11o/3TAa9BfpSdnGzfpCdEYoIDJYcoCLbKYEi2D4LAGDYFshLlnJOus/aYpL777//OOkwB31L3FPK52y8/oOteWmLMSttS/EuLEWTKqvrnj7Md0/fTfHkXGFic/VpYXdiuQMb/C5wIeJnkWegGINiP5enGzNHt+iea9vukvO+mfNO2KyUy/PrfNd/1wsObNn7JQewignP5SgGr+jllpKH9xZQn2grKviXf/mXB2pz0jdrVtVDuK9clHIJpoIoGcg5x34zwPFIsCwc9bmLRY6DBSN8FCiofYfFLQ67R1Hhi+7Byyc+8Yn7vvSlL1055xv130PhzgfXbRZd/5VUZihQ3vVVYKzPc5m7Zyp3goscCPA+73nPO0rEwEKht4c0Q/fGQb+VQe8Ud/jcAFKOco6wexmg6U28UCmya2VM0LDsao5BspVD36LZp2dy0nOW6TR60d47NLavN/1YllobcnbWveCOLyobpmPIGJjoshzzFuuMyYzoMovur47s7IhwFtxgyNAxn0qkCxowUjIe6TMOH5l2PYMnI8UY5kjuctpy6o2bE7bXcn67r1+8nkGbkZqD3pjGICM+Ga9l58x5DbeMyXBfKT88aduak5MeP2XQal/AWLavV4vqt0zZ7rtNB3m+IJ7v6TRwwIPf5lolQhno6KqfswFaRhOs8Tg9h2fQMV2sHX4oI49vtnQXPPjI+FXpeR/197///WN9TK+XYYWrAtjm1GvhwAwOYxsvni1zg1Zgq4qgrFdOkc90ZPT2mf1Dt1ZJBQbv9FUFldMXrY0PjhsH/X8OfnagVdnTSzoMTuEQvax3cFvQpoAUfOIN/+kCz2Tf4YGcisrDVz+mZzzvOf3jh4JFXrHGqfVGnUrE42tt8GAHqSVTeKOsYcGj7DHzLsFhfqsfyS84sgvSV/ogz+yMgleegxdjm58+wcPxoYvYkJydDpaDD1VvxudIer4qm4XBdzaVT8/ntO05Re1Lb0+xeYMPDP7gxPecYPPIRspB92kMTrkghLE4nmhYsm/1SoEWz6Sb0Elb+kNGGJ5aM9Mx6TT85Rq8qGAxBzDTB57VF31fKX20JLvGYKMWNE1PtC6i+GIAACAASURBVH2lE/P9xkPWBW3L4J/1467l6RWVBfQInLYXvyolzqvvnHJ94r8C8ugDh+3Zpx8davi1r33tgBs+0lPGQhP/eM+YWyULxwU2jYcu+Md3NN3gJPygRbLQtrBsxdb7gsHwnIzC/xe+8IWj4oAcF/QyNrhuHPS47y4+i34qg8mQL6q+Dk1Zl4aAeAzgE1EwTs54e/pSnBEqZyjn3v0crC0Bdn0dpzLvr3nNa44FHhNZuMFEAMuC55xvtjSHeFHTvGq3TtMZprIewWTvij+Cp+/KHTE9pqb4MoAJWuXtIqAd/iDqZHEog47Rz3uL9Z3TTpASyvaHnMve15Fvrpcy7DnvPjN4CDX8r+FeGehD9ZXT4Vl0oWyKSp4z6Iv/aMuZdjJ2zrk2nqcEmm8LPtp20F8HV4A3J6RMeaVhjQeuytzr85KYZJCZQyeza5chueX2zQ09d7y+b3bde9Bl0PWPzyjrnBoLq7+CCpW0r7L0vUBFlQwdbtPif55PGd0NnOyiAgawKj0TIKKsW7jLnuvzJoP+A8ymIznonbINx1uKme5EE3yWjsG3+LmKiByoItZ+44uMfb8LpuRQZBS2Jadnuq89ffDf//3fxyn85LpXcuVodxZBxkR7EPWxTk5GZE5QxrD5ZYRpswZ4QQiLOT5PR7YVCfzBrI+Ms5x3z8SzvpfxNAbedC1Dp6wxeHIG0YeMwINrcF6pO1jTeTnUwQXvG7DSp/bt4fRJh8MVOOCu7G1yCc/hbLN2XQNTJYdb8aOfAjONmxznpIMXLj/zmc8cRnjGbka93xuogVfP0Cdl5bYyCxzkvkq4jCzjlinxfdfi6BZPGs88qy6qAgSO4sMCEJ6Fn7ZH6Lvsj7USLF4rKTuUk+PZMtngoLvRM6fJPf9lj8JdgaQqC9pXa/7ar/7zTBUAGf7ubwVEtKoqIJyEz2wGuv5d73rXtc4QXVrvHslr6UcOOpqjBf3ROh6uXOsE/2SV84m+1v1ojzfav64/z8FzQT3tCoC6nwxn/xUwxas931aR97///ceajp+M6TueId/0Qo58a3zBnHRwfJJe3EBbzibcpl/1XxCroFLrvow3nqv6J1tAZlVbciZwRa+TDxVSnDr3rNNsSDjPoa+CpGCTcbVhp7hnDmgC5xzaSt17Vzh7AL6M6Q/etxw/WaMr6GOfMuf64pyhSVVF2tLvnUgOJu1zRNOPdCx9VHWP65xnn20bOAc/c9Lh3vNPf/rTDzy0hoAFLfULB9YC8ksnSESURYc33+mYHH594id8UCDd78rcc/BXV7dmw21bO+DQdzjv4DvjpY/4AJ6T7S8Apc+CqOjtWdlxr9HzxqP8jYKc2iuBx2MFU+BjHW9jwKV5oVnbDcDH9isjniPevMyzwHz2aG0KWrsOn/gZrcksOrqW7YlfnbN1k0G/S427+4cyIjHmOSPeQQoZQC3GGaYIsiW1OeuVe2hX2c5mxgN7ncn2D+UwdqiFSA3GxmiV1VOk7Xszl/4ySM0jJz1jpjaUY3NuEakkc7PG9VtGp72ei/Kcc9daAFxzmrJoIwHyqX9zcFq2Oezru8qS7tjmt8GKcwm735cy7+Bo7+RGSy1KlejtHvQy7UXQKonvt/7Qssga+q6DvhlrbTczv45xjos5WSD++I//+EqBxQNFscvy6C8HfXHeYSUFedxDz83eu7ZZ9FVARfBdywmmsM29DPbO43al5GfR8zwcU+p4dvegp7jAKZK65fAZuV1rLs0fTAx2uCsggs+jfzyvfd/LQiTPRUnRG76VtlcO1lsEPF/W4eY96Lcc9Fe84hWH0VBJdjiFK7y6B8dUwlsmtSh5GYFK97Qrsl6wT9sye3Rgmcki/WjYGQfugQMP0EsvetGLjnsyC+DJec3AXH7LEfV8wQbwBGPOe/q1hTqjlzzEX/oFVzLZO27NhaHnP/1R2adn9V1Ay2/wlk0qo70GecHYqmngnYzmQIG5TLlxcs67lsOZsWEMc8/RTm/SA4wamaDKVskcQ6OM7WbR09H6raRcX2XG4Qc88JHMFnw0fvjxTFln9AOD7QqeKfBRUNz4vkcf48IFPIPHP3xpAy9+u5feLlhUEDIeLQOX891e67bWrN7c7GK6pYx1a0bBnAzZbAf92Lco+wI/ra/gc0/f1oLWr5yxHDbjmHsOjj7MRT9gbssGvOfga58jV6ChgEi6GZ6SB88pe4ULdkd95owZ5yaD/oMMOsfKGlIFUbqADos305X0FbpU+p490RYM+CUfnu0/58i9KjXTF35XRbcyWAaxJIj95+TYaei9tQKPVa2So4N36fpOuSZD6/AlI+ivn2Q4va5tATt9cZI907lJsp1lT33iQfwrIFj1JpyRAbBy2skBfZRNI6mGn8GfbW29bhth64prbTXVHz4m6+jTWUZlz9PtBbQ4u+bOkSwgbM+5oIF+ldx3IBg9aQ1qnSqLvrpNX3AKt+hZpQuYPW8++jX3DrYzD7zQHMpIe15/DlHzKeFV9YvAhPELwMC9cXtdGH5xjXNeEi6d2ZkXBenglu7Nriy44DfnGw+Cpfe1oxXbFkwFGXsmnR9+8Sd8hVvf4Qse/f/yL//yfc94xjMOP6I1Bv9WlaAaJJ6IZ/VRIKeqSP3jH7CqMAgvPRPfxw+umw++aK3NFi5Insw484YNyebdDD7ZIOcqPW4c9LOXcIe/c9B7D3oOJkZHLIgtQ1KXZcRzDDKOdq9ybcusE7gy7ghceZp2HFOEJSz+Wii1wZiUA2ZRnmQhoOwoibPT1t6zFoHKAfWz1QCUAKajEH1uVjkjNGOlrFXzKUua4VUJlfsZEjnomF4G3WFolbfDA+fcXBOedRDhQpsc9zLmZ3KCr8BBglLb8HfpdWv1syXv4c1zcFU/0amDieCihVY/GX8Et8x5/Z+d5K6vgw7/n/vc5w4a96o57cp+7T7sSnvClU90yxDbAE+KZJ+nYJcHFp/6QDPw5CxE30tiFJ/DxZk/tN/y905xb+863oPXougUIN4u8lpgoPfBn7Pni8cCBpt5KGLaZ6XwGc9ojc5wAyeiqErRkj3z1h84RFmVWF1n5XqHau7/1Cwd6bTmMp8+4REvoDealh0oOFmkP0PCIklmMgTKSKMROsO5/4xP/JWe7HwHvJJTVtWNxVg2Bpz2gbWtBm2rkjFm2SA8WOBU/+Qb/29gICe6MtKi/1VH5cDglzLga4QUFO0+ApQZJavhquBDr4QxDnwypDLSM7jhtcPHKjX3vHnXZ/o7A8g9Y6UT4FTbsqpb1lkwMuMbrvVf1h9s6X9yFC0ry4SHdGT36K0CzsEA51UyFLwsIFP2C948Sw/IUpkHGa36DM/AhbnkfJc1D/fgBrN25qa/nPT0kGv6NAd8EA0TmDXY9WeO2oKvgIM2OeU5Benz1sfobb6tvXBpHRfA1I5RXWYdfekl1xm86ciyTcGrfXPssL5oZi7GzXkyV/2lG6N3Dn4ZdPQqWJY9UnAgpyknhHypkno068j0Y9U7aFylgWwapzO9CZ/JMV5E53W8OWfpx2QCzek/bcukoz/nqKB2zi9+otvoZTxuXNt9VDCSOfuVXXPImDONJE0EYOJfcJcowStkp/c4L09wbqu2A79nevc2WJLBssPxnDlVeo8f8WD708lDFTvkDK9lQ/7Hf/zHlb1qfrKSdEOvfjUn/bL56AnPVUptPWhfOPyHVzBp57NXjHUgH3xrB28FNZPz9CPnvUBVgYxsN7+rfiIbgjdoRrbcMx4ctX5qC96y/CVnyHaOaXC7lj5B/wceeODYJsPxbP3soLx0WpUKrc3gdK1zpeiyApDw2wnyrrUum+8mrOAy/Zjex5/4AE9sRVU4SzfhOX94uLW3vvAVnQcXdOLrXve64xXNYOr0dOulk9s96wR17axl7WGH595Lbt3BF/QpOOJP4xRwxHvkBW3i1RzzdDnY3dMX/HkW3eCd3HaGiDb5El4n99znPvda68d7ag865GYgYuacGgxcBMv99qG3kJcV9xvRUlB+F93zndLTJwNMO4TUn9/uicRgdooKw/3Lv/zLwRAiRQid4VUkch27IuPrJAZ/BjW4EoR19sqg58i4B67b/YGxvsBUVgGOKqehGM1BhIuiy7AhKLKrjDhCaA4+E5B9RRkhh6M9sX0DGMF3KYte4CFntjY59N13vUPitq37ZxyUDSkLQ7AtCBTKJSc9+DbLnRMLT1/+8pcPBeNvS93LcG3p/25dcL1sUA6qMdpDX4Z5nfTeX5shZsw9qb1AU053PHPmAePATaWy3U8+/NYHeH/zN3/zKE0r6uhZsIOlxUz74LRYl/0mE2DAWxv8iqfhfoMOaLNR5g4UoWiNX4WLduBAtw6HKwvQXCwEFu/rvn/o/+R53+HDW+KO7jlV+CUjC7+SiUrcy066Dt/+Cxy61ntCWwzxSwZIgTcyWcZev36jKR2pj4w4izf5w1cCKgKaZJqeKZsbz+OnxgzmSgiNUdYgowxMGUk5O+lI91q0z6hsHWn+xshIcS9n0bWCYQUDkh38qm1lgZVo40tzzRlMR9K18XhVAOZbVdTqyNYROgeO/FVRoF99ZtRZ68DQliP9kVdyWUli+iqnsHnl8KKjYC0583xZ7nAbnsIRnMCDMa0d5tFZL+mpgi7BGj2ryii4V8YfLv2DvWywZ6K5fq09ZZAzQPFcJaCubQAKXPDWPDMAjen6HvBl3lWUtI4IVjuHJGOvoJW2yVoBz0o30UJ7fdNhBf/jiWi7vBV9qgrI4abDqwSpCiZnLVuFMW2eZYajlbmA7Q/+4A+utQF6h2rurpttiXtbKMqa44Ec2859oAvguFcI+t3aRQfBLx0X/tGT7OJr3/GuZ5xHxA6sIsU7wdlcj3vc4w49zIZke33sYx87HHmw/dqv/dohh/q2tvmsigYC4td0MZgL5lXyW5CnqqQcu3Rctm86Gq9d0o8lujznPxsy+6MzjOCXznNmj3twZ94OmK18m14BJ/tH9RS5SD8KbtEd9Mie6wG+Aph4ew+QS4bgJhuJbuB86tf1HGywud4hcWTXOB16Fk3hQL9ljNuWZGyBFYcGCyqnE/WfTIO1QFpyDS7z+vjHP37YkPQDuyqbtTW109I9V0Wqvs2hCjMwwB+acoTxiDXaXLI1PYMvCyqnH7XNpiobb87ojmfarrE60ljw2UF6rbdtEcAP+qIfVUqUpQcDWMFEL3UGAljg3BzJgDHRxfN0FNrmoINDH+E0vs0f6pC51iw8VhDNtQKePsHwtKc97aANHqSL9at9vs8LX/jCa60f7wkHXQYdcjFAi2eM7ncnbOe4ZohSKhmUKVEEJThFUYqAdYBAJbU5KBbGIq4ExCuCMEmHrblmn4lSCX+EBgNuljajJSbzCZ4yB+vInDOpZQIy4HIEY0R9ZeBmTCYw7plf2eoOh7NA9V2UlpPG+TI2JSS65c93uCSwzevSSlkJ+n7Wbkv7z8+uk75Z89pVyn5pTPcyeCm7stTRdUv00TInXV/rkGcoroOtjf6Vb1KuzaExNlJZ1jBDsn76bP8kOpwz6WW8jNcBdFvmGxw+94C5xQf6mH8ZsOA442wddFlN/O6Ajz2937wqG/N8wZYc9A0QrVOeDMW76FL1QAtf9zIwMwyKOGekwgnn35iMnCo58HZ87PNf//Vf7/Pu70dzdghuN4NeUC4dmZME1xZLRgM6FPDL2KAPPENfRjd85LmyQuiGlxkZIuJ0mr7QAm+2NQXd8BR6ZfzQ3SLZZIW+MV5ZkPQXfb48YaHWr2tgW5nLqcuo2GzP8m2LvWvxV9mNspv6KlPUVqlwkHHuWTo/46egZaWOe2hbgcMM9gylsmzu49kyGMYveHvOgHiWHqP7wdAri3I0g6u9pto3n2hHD2mHFuidgaJPstZhUb7TkQWwM/DxkHvad611rGfwQmtPDk+OcoanNuZnrpVSFkwq81ymLeO9SomchaoGKh3Wn3HLKmd4Vn66tEZTdMtByX4oMOAzGPWJ3rJAf/d3f3fgrcPl9MPwa6uRuZhjWzHSb8appB8f6lu7Mn36DKfRsyqDDdL6nhMW/2mPbpXet/XDfXIIn8aX2fyHf/iHR7WO3Ax6W0Xag43fcso4jfYk5xCgs3ZlVdHG85Xfoi0aMvTxJ5rIxHJOO7mazHNy0MSnNR4P4qm2/ZAlfcvwy5pbm8uS6r9qiHhbe/IO7rKh4NwMevySfsyJycktsYBfdq3Qd+t0AcUylYIJ4DEX4/qrss/cBGKrhuHQsiPgxYHDnLLGgYOSbDnaZIJDSv9Uil5WfZ3zS/qx1+CaizUmWWru1ps93V0f6QVwt5ccn3TYHvvFPN1D03SHaiFjGKvAn+9kMYe8OcGV5yR5ZGoLtKars/3im/Ri/Ep+0c0nfQPXVUN5JideP57xm70OHvgGR451+Me/5s6+6r425oofC5zok2y0dqUjc9DRREDliU984n3Pec5zDrmI/8Dxkz/5k8c1Oq9qgK34yi/hlGejGK/gRmuG8eA5msJpyYXsW/MoedbWgOxYbQTEwFC1gu0PdDX4BMe8MeE625D3jIOegtyS9oxKDIfBKvsp4hcjuJ6D2/OMTMrSZ047JWP/DWVEKDBHB4To86tf/eohJDncGIfRIhNZ2a8xY4YtG8SAOW1lHHImU4xn55ywbZZ2Dc0MW0qgcmLXinA2d5+YMYONQMAF5aT0lKEhq9WcyqB3MJeARQdXMFI207MOZ3PJ+E+AHspBXydSX2XPuy7K5np7T4wBR1umXRS8YEfPlqX2Gw0p/81YV7bdISRVBuSww4eosPIkz1JKZcNSXhudNg5eAN/Z6cenKZHKjQpItDctuCsnvh1NC1rgQwtzmWiKKsNj8brfw1vZdeWP5tfiCf72xHuu7QWUa5mr4Apv5lWUfYNnZX70Aza4a5HqWrRbGMmkPveAONcYzPEyA4Hx6dVi11m53o4Oj+T1ddBzAjPYjZMDY/Elu5XE5VDkiKNvjiI6lRVHWzoBrRgsFmZ6wxaD9mHjGe3Q7T//8z8PPsy4JJeMzmc/+9kHDRnBYMjxLMOaXs3wqUy7rGIByRzBskhrBITXdca1S0dmPOVQ1pcxKkUvU2k+VQGAyX06FFzm1/7iSiLpiBxe88zwKIhobOOkOzKQynwWnFgjdCunzA2uOtQsR7DXu5HR9DQ5TO/m4Om/ABvYcrzdN0/PWxMW3srf6V9rYmXanWeA3/CK+erD/PsvOKMN/DevDGT4LZCcY1wWugAyvnKvSoAc1LbkFDgu6xk9ezUdWtHR4Cs4UXB2g43BBMdlKY2r4sMp9cZl5Lvme3o2mdEnHFXiHzzkBV+EU+NkyJb1Bgde0G/4jBdcK0CvXfPXv+cz9vWb8+QzPrd97a/+6q8e1TpyHXS4lFHEm9lieIh99JjHPOYq6VLwH2/nsPteIC4ekRVHYw4JXmUz/tM//dNRWWmNIi/owVk1jt+cgmQxHUYXfvCDHzz0gwwzPusAwjLo7BX/HYwGhk7y9h1/bCVJfeMT7dKJaxcGR9sG4xtzLfhVUoz8wxkcGEe/vZ7XesNWSh4EKX78x3/8GBdsDknjpLJ1qmhMf+2r1Mh5enb1I1wmEwUMzCNHu4CWvshhjpo+2POusWOtPb0Jhq7LDgFXtgs6Zet02DN6cMw56NmJ+sY36GG+5t8ecv3hMX3aB28bA1zRG52HBC/6gCN6qqqqqjzgQv+7ThegxQf0PhvJXDvhHdw5t61n6bZ0rDlbuzsPAM78xoPrb2wCcCvWzAMN0ARf29rbNqQSBLL8+F4fdC+9BkdwYq70oXuu2UIKfn3CV2sLntyqhALUuzXWNfgPd37DR4czq+Io8Qp3ZB9+8bA14m/+5m+OM0ausw15TzjoyijOzuul0pwic5ggQyjHcx3LToXHFBx09yhGAkxwc9gJKOOUgHNkGKcd6NIC79M+jBwuAkW4iqyXJS6q3TwwcxnKs8GecKwDrA0Gr8Q4w2tLIM8OOhz0n3FZEIORzXgw57JgBEJplflrT4Aweyc9LpwE+uyMUz694marFzIufbYY3K7s/YyLMw56lYl5wTEcwkmGXBnknPGMNv1uqfY68n1P+cYzlC4jp9d2MIiMZ1xKrUya3/higykFOCidrdLYbPwl+q/DDvatIrj0PQf93FcO/JaVN8/2IuXgprzhruqPS04kmm/g4NK5DvF37fBRNHANX1iYMloLBIRX41s8ZM/9hcd1zmVoLfgf+chHrrVyfSQd8dv1dS5xh+si3jlFZRP0kaFGfxRgzJHXl+tk0z5CtKJTK0fH83QBXicraGg839GNDsVbrq0Tg14yRPEdmaiUsJJxY5YxiF820BC8GVV+55gUYY+XcnT8xlfpyIxy/Xo2RypjNpgzThlCOfj6ykFj7MGVfskAHVUwURv/ZN54zTMYyVA6kmyaNzjQrCBeOrKAyWaFMmBy6sDaWQ7wVsZpg78Z7hk9G2jIqCork+5v7Bz5yt73BGn6Dk3xQ0EQuKBHjIlftrLHvMuo6K9zQswBLswJL+kTPAVkM5jRvIwVHGtfwBYdCkKDq+/6M66+MvjWEQFvZcFl7KvQsKZ/8YtfPAzvMjltXYoP9VW1BDiTiQIfu90hPssxOjsb+qQjw8UGY8AYXJ43b/DJdHqm8tV4G29atz71qU89qnXkucR9M6i+R5OcvLUhc7Jcg3tOUXR96UtfevB8GUNGv2AOJ67955wfetGZLjKxXmnKIeksg3Qx5+HVr371QcdekZvTyM7B22y0DhgsyLSVg6sDzYl8kEHjFwTCX2TLmgpe18ljTk/2Tw56ia5syAJj+saPnF+OmgRP6wI8qXjVt+cEuaznbOey55XCm092cnTg3MlymrM+9Z9ey5kHb3NoTWuOVSy25pEVfUV3fbEdqvY0PrmHb7ySTVcwpDUo/BpXn+dXXeILvEBX+CsJp+L2O9/5zqEL0a2gijGdNWBthWd6g/Nbybu+OiQOjJVn4yMBb+OZ11bupMPhu+oQz+5r5aoogA/f9cdxhY8qCNKPeDH9ac6V1adb4fJlL3vZg7YMu9f24JWt1m80rFKtOabXk4eCYuk/+Izn6Wtw6bvy/AIBcAGmzp1SAaVtWx5aG/EVOYR/lZg3DvpdWqopVw41wdjMaY4HorQ4YQ7f2/eVo5Vj6POpT33q1Z4tQpjDjZD+MUn7rzv5D8M7rdK9So1jJkz0qle96kqYwJOSyFEnzBnLOeoZj2UzGBCe3RLnsrbr2G4kNLRi0KK9i+rNXoOhaL7vFhu/BSQoD3ijEAi9z7LFOZ0ZrXCDFsGdMblZ7hR+zvUlZxyce9/3dcZ75lzW1PV1SHt2y7s3W54D4rOF+JLj3raGsusUmMWCMPtbXBDyddgvOejn8jF95JjugXZn59o88EL8npGbg0759oxr52x7Edyz2G11hYXPKzLAmJzoE6/vX4a+zw16tEDUllLFVy3ywZTzYEEP5mR3952nhPE357DXYZjrnt4pc44uePvGQX/wa9bQrrLwjASfeIm84vkCKGhemS8Z872yNO9Wzqn1iccsiPRhpZ9ogk/JB53AsChLQg+XySvTohzO98rtcqLLGFTlU/Amg8t9sMbz+q3kuyBpZdxgLQNfoKIgIn6Fm8qIq7ipvL9+y0zBR7oCTMbUZ3v+CoLkmJa18Yy+OsCnLDw5aJ+k+5Ubwp2+wF6fyRQYN6hobmWCC6QUqC4Qhr5rYKN7TqVny9h7PgMoQ6qARWtMuFsnvT218MbwyUnpVXNlYsCTQ25MvEJnliX33JbaZrQbGz3Dee0r9c1ZB6v5VFmjL/BuhVEGG72UPtI/mjDucsw32A8OfVsH8bQ9pMp0W1vK2lSSCU7zy5nL+ERD1+CjzBb4OrCqIHyBCDAUVG29DxcFo6IlXLdGg7e9pG25oB89g+4f+tCHrrUBepem4R0/tg66wNq+5aZsbWduoHFBEzj1XwDLpzUTH3pjBt7GJ+1lBRBHh46Be44XXqATfZfN80rTKoJ8aofu1mtrMf1AP5Ix2fhsBHwsoWJsNOXkFBSiHyp/9p0c9IqyAlhl3XNs46cyo2DXX2c/dN14ZczBy1bkjHNCjdE/nHLA8ausLpnlaPvUl3np33cwWTvgJLjLRFvz9dOedLSgYzy3J7mvfuzsnl6tVkACLOdncvQ7bKx1EW3hqOx6gep19sFNhyRXYGgt8XzbWTpdnF4yRzzBvha8oa967zvesXbSMeDwD79VO2SPp/fwQno6eppfB8alJ9M1xjKfXkvHNjB/uoHuoCdzuMHROgNvxgI7Hj+vSa0t5kuf/fZv//ZVAgvM4JVZL0AA5mxZMLZVqHWoQxCN61kJw0rfW9cbq210cJ+T3r5z/Jmsoq/tIqoewI+/BCLa0mDbQafo32TQ71iV/r8NU66Oys9YQoSMzBzyfrePuug/Jimb/vznP/9QDKJZiKr0BDP4ozwxnoMk9MUZT5lRGpi5VxboI6Yva/6CF7zgEDzKlULZg9TK2pRFZRy4pj/CvM4WWJqf+Z7L293PeMr5Bu86aNpYtN0PD66151x7Y5uDNq7DReWCypHKophLZeeVrBCsTlaurG8V5iVyB7M+zG8P1jk77+eM+fanLbxUpVBwIEe4tmWiNkCzTu45yx7tctDrB5wUqz8424DJwnWmUzTvs7bnueUwnx302qFJWb2c2vabxzeun7c5xANnxz04KDe0f8Mb3nAVaXfP/C14lba71gnF3Y8H4TwHG0/Ftz7DR44aRR4vFhipTK65VwJoIbHo7PvPjUkeGQSinmT1xkH/ATXTkb/1W791tf+YjJSVhe8yQNEhQ4Mc4B0LPfw+61nPOhZtUX8yIfNtIfO8BU6WmAGGT1SXdFJ37+mtKqgT2tFfW0aqA2Hwqj7LOuNhsJZFyWBdHUnH4J1Kg8scNy/9b4bImDk/rQfaNgacaQNW8Ghbhtk86ZR0RfMjg4xQfN1eep9mdQAAIABJREFUvfRrWXJzgc/2o2pLtwZ/GZ2yE+DIAd5KpIwSMpqDvkHhdWAz2PRV8CVHt8wQYyU95NkMzAy6dKR75u2T3oMTfVWOaC1g4NCtGWlkFy6to72LHd81h2hljHVUjZEOLltS9gdcOy94Rauzg54j7HoOfft005F+6w+8520O4HatOaQzwyXcqyBTIu5MFnxmHjlUBUbhs+xbVRMFr/XVmpet4jP+3iBUDnoOf85VvF8GCt78V97buuy3fvEBXoUT83vPe95z46D/2I/d94QnPOGwtcJTOCy4Ql4KKlV1g7fIXttXlPNyTj/96U8fTgiHm0xox6lgUwlE4ofPf/7zh64gP0rhOUZkkY5hYzl0zHj0Kvmhv+kMW4TwHcclWSY7ZcU9gyeMQTdrixeTZ+3idZ85fOmd+NC8rafwYe49n40AV+AtqAlfJXmM7bqKKTxsTt/4xjcOu9dzP/MzP3OVQYeXEgZwUVDMdf2xryv3PiefVj8GfwFSuHa/rXbZJfpoi+lZP5ozXFW9A160bYtW+pGsVblXoFpf7WWvXN299larkpDIaU98eLVOqMIp+IK32vcO5vRxdAJDSUJwRpfNQLeWeB6P0TdnB73tSPRADn0HrKEd/MOFe9aaDW63RrpWkKWxWrfMy5ycYwQfBfnpSTzNpqgiDo2rPslBL6kanG3b6bND5YxXtW5bM/EiHLTFM/3v2baawCcaVpEAPvwOB7agwDHcXfctQPdEibv9QQjpbx10v8t2WoyLHvmkKCxYBOI1r3nNVXSTAhSN7E/bJz/5yUdJbVH1b3/721f9irpiEJFDr1zpoJAcJ9F1pRSV2GES94qKZfClGCjzskcYTfvanOemjxybjKwCFSkO89iy+ZymnPSU/J4IztCmFOHBAkNJaUeBCVKIsFHklA28EpaUpbHAX4Z994TkGK/zSpBz5HPGPbvfa1+2Nse7TFPt/a4cBXxbJg2vZ0e3bQ57vex0GTVzMW94tlBVclsQAa56TdSl4IG+zwGS6LoOetHvPo0bfBly4YGSyXnPWegeehTpdw2c8L7Z8UrJm0vPbhtR0ze+8Y3HrUrcO5k9vgt+9G+bQ4t/h0l5Hk2KDKfAy0rB7Trj64zsgkyRmge8kEV843c8oV9nRHDw8D65/+QnP/moNj7hJAf9la985dUpuPBaBjmDDl7Rroh4jkLlyS9+8YuPiD6edDBiZdj6IuOMyrJ2nlXKWRkl/mivL1mJ9gUiC/yQ65xi8K0Rg8/xWCWFyXyGdPzQmBlkeD1dkk62eBeMSDfmCHoerOGnLReVc6a3wZnxrj94MS9jpQ8LZLXnWbsCsfqp1LtDe8omZDhGC7xM1xZQzigxlnnsvvBKoOGjffCMoTL2xu0QOrjUvqxzskj3+W9extMuw6/gm+frCxzGhGN8RDbb450u1b4DrDJ2q3IoY5ihWTYtx7t2BZPKsBsjeHPqwWmctiCkI8v8wds6suiTjkznmC98n3VkJeLokaPF+Dame/QenOg/5wVP0dkZpWAuC69/Y1ZqqY/slPigCoOCruax+MuID7d4k76VnQNH61tOAPjgVbsPfOADj2odmX7kyJZQSce0VrGNyLS2BU2qUMmpcbCb6i10dLCUoGPVfegiY6fSU3AZzT/zmc8ca7N71jPX6Uz7Xl1Ha/YmWqkYc9p0QTH0J8fkG99yLOhe9NY3Gewkct89pw2eQPP4IUcvxyY5KYNeEDD7Q3tw4fGtqspuaHuhMQUcrMMy3gJCfsOr582HM+s5gQbPsS02eIpXwUPPW9OTBfM660f6U5Csw0jBST57Z3rOtOesNXDqmT0hvreMoEeHYRZcS7/QCQUk44MSYfpNP6JNwQhzMw45RIPOVoFD9zznE7/gpc5tyRH3CZ87rmtoSofkeLuWXYe+dExzSldoW2VFWfKqOXK60aCgbdWNgh29KSn9qC98SpfuVsaCs3COHg7qxXN0oGdtaWAveB5/+XSP/LEvyIHnzIFvVSUSJ5/vUeVaAZnmDdZsgKpcCgCnTwUG2mKkChBf4bF0v+8OfrZt1TP6k02/KXFfj+1hfE+5OhWzSPRmSyup8NkfZOecIwKl6YR1yk2k0r4ZAoMhCSoHWwBg999QNu136TqmFhXFfBlhmAfjvfzlLz+YAANikow87TBnhoXrhM68Ml4LPORoV3Lpdw4ShqTsMjZ9r5zDPe30WSbTs5RBAp0T5RP8xhBwwOBg9p9B6gROSozwlDHOqTJOTmxO6dlpzbDOoCsDv2TPAXdtM+j7OrVts+3KjpVxjQfO7c/O+o6fk07JLX3OGXR9tj+/kjf9lB3ru9+XginRcI3R4NhgTMGODOWFtSjhXstpjRYUKb7bbJn25+DOOv0i+Bx0CpdMwUkH0wSbRZXctK8qpyjDhMIrUAQHnivgAcay/sG+jtv2lUzjX2NZxLbEXVuLn/1Cazj82Z/92bVWrg9D1d1103Tka1/72qvXb5U91yl52XJKuG5vOT2Ad2R4LKwWSQE7xg25YlzJkoi2+0fTFs4OR9MXHkVb+kLFSdlc4zOiwPD4xz/+GEvmXb/o6B9P+i9wZQzwakumKmvLoDG3yonxW/uKN4NYhrxARTpSnznqOd9kTz+V0q9saV8Zd8Y7fq/KpINBd7yc8kri9d3+5QwK82orgs8Cm+EQ3oxTJZO+0iHGLqOek669+aCn+VWJ4Lr5pdtzsMNlmQjt1iAqe7vl7NrqH6zGryrBZwZlTo3+wI5HXEMjzxVMyehqr35wVPmRge5+9EKXrdTRNsMMnJWtJkjR0dh42dzpFrzdulrW2jPxcA66dRAcHCr8WsYe/nOwPM/gtJbuO7Iz+KsmKtgLTjiMZ817t3KBIx2ZrDXHeAJfuEde9hCrKg8E18Bojtau3//9339U68j0o1fhdlbNuWoCPaqOwGPWGnoNbegf+81VSaqs9K8Kk+2o8lK1ERtTkof9gmfan63EluzhEXRlQ7zzne88eDF5I0vo9f73v/+QI2scexSs2RTpWH1ZZ6vosf62p7iAW0kMn/prX3ElxVUKtAYUJNWOo50eLMOOx8CIV+HCffYz+Ds0jV2N7/RJl3s9KjzCOby27Qg89ILf7FPzq2Q/h9gnhzDnm7yG1wJwZKGgimtVAoBJ9VZJo5x07c3TmOBKr5AhtCFTOdhlt4M1Op31IxrATdlnv/GLNcG4xklnatNa2/YDc2orCl/DbzTobIAqBQp6moPvZYvBgx+qDAMLvFbFkw4Kn2z8TY60B7+KKLR/7GMfe1Xhli5qC1F+Chrrh99kLZf8pN/wi396E+2yK9kWDsnDC6sXwY8OBXCM13rK50LXnPzVi+nHgk3m23pVoIDvoi/ySQ7QJX34F3/xF1eHyMH/jYN+16bnreyQEveMuM1SxLQErah2+xV9WjRltymYssWeoVz9cUi8B6892e3P4MT7EzkvMk7ARFEJ3WbrlTT97M/+7LFgYpYYJ8E5O7A5Pz5zIruW4ZBjtZnmjLCc9PacFyxw/+ygl213b0vcMWwZ9N5LbH4UgNM3z3vQCSQBJazmX8ZUv0UYMzILQizZi8rttXM2/TzXjMsc7yoA0LX9Mp7Z7Ho42KzrQznqC09BlD7dK3vePI113mu+znr95bBvBh1NKdA1MvEIvjHH4DRGwY9KNffsBWPkmPuOxpVy+o5OOeJnB137+vR+30984hNXWVDzbv95mRx0r8S9DCx4wajvS4fElcVMYd+OP8sSgCnZEeyywPqDj7IHfpNfC11RXTDeOOgPfs3aOjjrpOWAVsbmHjmiF/EomceDDIvK3nxHY3zhNZJ0o4XXdYanBd+fxRA/lkVWfYSPcqA4/BwjJaHkib7AP2WkMzpWFsvwpCPp/Cp8clzwPL1ScLLnyRd+qipG+7IK6QfPlTHH42VbjQEn5LegFTjLyHqO8ceoc78qhPgXv9JT+i5bYi6+m8MGA3K4MzjAVtly1yoHJXsZGfBXuzLyrll3Kk2vhLrgJfq4l9HenNMP5u8vxzhjtGvhFk7LPsKF/vBUtHevrGAl7QVR4KDsuf7pwvBe4CLns3HK+IN31/eyhlXKdYjW8hDYKvmOf/AKGmtfOfxZRxpLv2SC0yHbIjhVpr9taegBrzvnjMGq6PASuqyxrO/6AlfZoMVx2SjXCgxo217zHAP94im4rewYTvEPuMyR43edM0RLsx/F9xx0GW54QKMqEpIzMo4f6bbKsdGXzNBdqovoPs64gKU2ypnRhHPtXfOcFRk7TqtT3ZV8+1Naj2esX8a25qIpXkdn9+jG+++//+qgtU7ljod3y6Q+qyKqkqWgAH6sygLsZLRzL8It3itzWoazKqLW3WztKn88459uE8Q1fzBoBx/s5fjNuBx0NiR5w98d5mVdsG4Ynw0uY0oefA+XaGMOZMi1aNT3qo7AWlAODunlKkhWP2a/c9gkG9L77eM3lvmYa9ulsnGyu7I3f5h+LLONl6o0NF+8oQ/4tnaYb3vHzV822jpZJtzc2l66mfuC1ZtJr1KrbD06dHicvvFxe+FXvuiNsuHa0VVVBaBdQeAqSPJr4JZesWVNdY7XOJKNKuI46Obetgv0bHscuMgg+NPZxtpqgpI8+S5r62b7Gr81Cm95xvjGpLcFBVoLyScfB53xaYG3Erl///d/f6314z1R4i6DnmN6VuJlXjBme90wqz97YQiuEg5EiikYD05vVwaBwP/2b/92lM/6qxzId2WdCJ0xpQ9/OZwY4+d+7ucOZs1Iw3AU/qVy6JwVc/GfI7TZ1LOT7ncZS2Nj3C1vdy2FUP+VRqbEwlnGCPwoTSKEIsJlOitR6eT6nusAnsU9vLXIbBXAtjmXZ3dv4QxPt8uq54Cbd/DrB17a61x2pf7XQT8bbeG8636DZ+kFlgzzjPbK0c8OurEulbgXoYxvl66+xy85K2UO8fDCsgpqHfe+h5Oc9IVljc8tbzeWahBOuvH8WQgsFJUGg7GgQThjrJj/8kW0PAdCcqQsxmBr/1m0w2tFdMug67/XqzVG71xl/Pj35zn8cHNI3C0H/Td+4zeu+DCjJmPmXF5MLhkJ5N9bG+DYIkv3MaKiMR5mPJIzBqcFDl+kZy2KotSi72ii38p8M2YYprLzdAQjiGyVhcSrZX4ywAosFOChY3KEXPOXo5ke9Pvs6FRmHC5WR5ZtxpsFHH0GTzKZrDOeMjatB4wr7csE4e/NbDT3yrDJT/u7yYt/ONSug3pWT2WwgN08MhDTke5v5VGZWX0k5wUhyhqSMTTKGQY//LW2NT4crI7UTzqy4FtVLD2za3PVDwUjqlDK4G79rKoBz0U7Y+dsRNP0WkGS5hgPaF+mqsCDa+wBbVwrGKSvnPv4bHVkW33AytDEu1V8hM/KJckOeNNFBczJjzmVEUQ7Y1TNUZAiR70gizYFPl3LMfdcWfTo36uFyvaDxTUOS681Qm/PvulNb7rWBujy/Y/iew66rPTZhsyRg+uqLsmPUnEOOJo4AJgTyvF2Vo/1iT2JrnjE2UaygA888MDxijV4r1IEHdmHbK3KlVWuVc7sPr75hV/4hePd6XQLWtKp9Gg6I31SQNBnwS3PgKVsKhzSO2hf9hPPZie7r7/K29OP1v7snpwdeAE3p7yMMJzQda7BCRz+8z//80E6z5EhdjOnrLUETrMtsp3BAG/madwctYInBVXZohvEDP4qHtj3HRTXuVH63lezGbsAIZ2uP+O09cpYaAJHngVjga+zfvRMpdbB4neBv+yTto7BF/mtusAYe1q7sY3V+pF+pLty3NEaTJ1FYC6+F+jRDj3Bpn881WF5BUOrwmq7VBVa6JePA+ac++i0GfQcerwgeflHf/RHx3kMZbHBhF5okx5KT1cRhzcE+9OPglH69dt8NpgZTkoOtq2jqoDGhUMwmSN7hYNujU4/klcy4U1c/Lwqgc3daw+vcwDznnDQOdJnIc14qry9cjkM7junOWebY135DgWofFZUlGBZhClgf8qUREntNcIoRboxDsbV3vMUj98c3Z/+6Z8+SkP8UfL6LoPRgpNS8zvnGZNRwOucu5/i2Ge3ZNT3staXFrT6r6RDm0o/+m4hL4Ou/CRGbp72TFV2bbzK1IsKNm6/c7QyoLUvo6PtOTue83q7Bbn2+5yxKqsNTzm6fucgmn943ec3aHJ24PfZjPP2W8FThk+LX3B7LuM5R9e93dKAvu3XrGQNnowD7z1fn0XLM7RzuDfav3irbLdxG/vc7zro2n70ox89zlTI+KME8XQLShURO8fojXfJRtUDG+GvhC4cWyC2aiCHvrJfsHhGG5nZ3qFpfKVzveeZk0Tpg4FC1+9NBv2Wg/47v/M7VwZGjnnZYHyWoZEBgq8ZmAyZMuAt2gwdukB1kMUUDdDCs3SkQAmdmbyjCV4QYCmTQkeSQ+WgjLUO5DFuhts6belIcOY4pgv1aayi5hlU/fZsDr3nq0pxbTMweM3vHNDKtdd4jRfL/BrLGpHxk4PVflZ9mX9lslvp1VpUtn0Du1WIdJp7GY36b/vIed2LjtpXjdD8PVsAIcc6p6QqCtdbOys/LdBhnShjk9OSc5ChRb9mKBqL3ojmnjdeWTzwoIG+gif4C1DDDZzRB1V0RP/0JZjAX+UHXvK7TMpZR5YdN5a1qb3i6GHcnPYNhLoGjpx8jpi1EY4z9swDnOZdUKYqBbCCD37iJ5+V+leyulUuZcLguCCFz3RyJcDxBDr39oRkgPFpzPY+g98czUW/7373u6+1AXo7G+CRup6D/rjHPe7ocjOxbEJ4K/gOp/GZtYZzTfatqSopZGDxe1V8v/d7v3c43wx/e1v17bA3lZba+9Mf2eGI0rf6ZZfK9NGXnNvnPve5xxYgbfxnu+LPdFxnwOBpbfAWONp3XnDLmDnEPZuN0NpcOfeWPJ9tCryO1+j/9GnVM+bUVk+2tfkWmIjnzaekBP7VV2t3WzyMiaf9xvcF7bUn42XczZkTbsxkwbzXCQ/+gpDGc59Tx36rosp8BECMVVCsZEkZdOudscn4vkEGL3V4Gf3ctidjZyMXMGgbKbjRDiz4jWziubVhO8QtJxrdqsbJdsw5NS7+AbPn2iKRY4s2+MrvtlKk56J3QYr0I7iiSQknsLTNF6yezbcwNj/H/nMObwFbc7Uumisd3tue8EGH6Rm74CN+rNRfgCbZi2/MHe7QqkRVAWQ4Mn88mU71vNL7TqwHj4o+citwIDASzZIJ50ncOOh3qW03+kl4WgxTpJh9HXNCgVmUyiKuxQujcLYQk5GPKb1qDYMRXJkh4zihE2MQYBl1TE2oKQIHy8k4lQmsvBKj2X+uzDNljNHAZSHP8ClKj9E223u7qgB9ZZxk5HTN53m/+SX0FjF0rww5ODAmBQRX5iSDXmTMfDEyBm//o1Kbyo7WIU+ZgqUMepG9nPpLcOW4F4Xs8+zE7++2JKBFC1V4SfkQ3BaSnMNwTXAzys+fwagN2M7ZczSCL3/NOUPbtbL49VMZXY5npzivAda9AgNlkF0/V15soOMcWAgHm11aPsmBCracdAr0D//wDw9Hq8CCRbvSshRkCrqDGD2vPZ5IWRuj0n24upTlX2O/8rrFoWfw0J7gXuYc7BYQRlDGPBnHNzcO+i0H3WKJfuhTxtkiliHne04IGUBb/ES2tHGN7uoAScZkWQTGJr1hLybdywhR/isDguY+ZVPKGtAdbZnxnCAm+Wpvp7HBafxK6dJRZQ8L6mRw5ShmZGfE0F3JQZmPjDF4KMqeYe559/F7JeS+m1cZ9PRF8mDdcM9/Gd2c/8pEu25eOYEFpypNBp81h7yUOQG7vw0kGBfeWv/6TCdmeLfGeJaOAhODp5LnDfK1dhbgbf7mlHGMZskq2ni+Shiw6wNs2oEbntCngGuyn4PaMzkantEefGWrwJ6hmaFXMCZnOfpWfUA/5cTCXUar7+CNlwoGGKvtGmWk073nNdgc4YCDwEGHp60EM8ey4a0ZPtGoNRt+ykhG33WgCkyV9URPz+62DdcyWIPZPPyDHe3Jqr7Aa35l5lzTDkzvete7rrUBepem4R0/luxwyipfr5oLXpODeJk+wgOSFGho3XGPDpCdo+f8tjVSEIfx/+d//ucHHaypPlVdeP88O1T/+vrsZz97VHEm93QCPscXXlXFtqEbrKuyk2CzJnLG/ZXl9Lx5VBXlM92YXug3WSVrVbGUeTSuftvyUdB2Ey34p5O3jZGNQd/qs9Pr6T+nYoMLXxoLXnrNGvyzKT1PN+WQw1NJMOu7NQQc8MmxAmufOYjpfnYCXi/AQg7gL2c6PJDhyuDRxPzgll9grSNvcFFCp8yqdYrOqjqh9WH1cTqvYCR4q76An0qp4UP/HehozjmbyXUVAH7TWXBr/PwFDnevu9sAMLgKKuza1Unp2VgdMAh/4K5CzlgFkNCxQGr2vvZtf0rgzAudtXn961//oIpjNDU2PKej+Vmt/e7BIV5w6B8eLDgJR55DjzLn2pbxt0agh3HzNwpKpI+1wUf+zZmNkk2K5vi08wxc158zRm4c9DtWpw9umEAo/6EYikLnVFR6l+OSglHajnFFdypLRwzPEcpnPvOZh4P+7//+74fCpUgp3P5EXSgAQiIiox+LNeJ6jgDpS98yV5grp4ZiykHPsavfdTpzHi856ZW191yOYdUCZ8d/nTLfK6mDn90v3wFx+pMRg99K3BNmAtGr1tpvl0Omr04wrn3OUrB2YnsGUAJW1r/MbI55DveZRTgO8KV9xmCR6xxG11tkzo5txloVCkXJg2t/R5cMQHMyP4qk4ID+wLp7zre6oH61O2ev0Xgd9IIJ0bOIYn1cmstGEDcbDsZKTxsjQzGevJ2DLhgVf1DEFN865zlP7lmwU7zrnG+AIjgar6xmWXMLQkaJNkVGfd8M+r46pb68Xg3+8X7zvznF/cEZdHihi4oq55DDczyRM6G0HZ/KEBVYQ29ygS+UhKID55yuoPtkReg0fCqD3n511y2AFkQLo4BlQcCvf/3r9z3vec87fqOd/i3UOeiMq5xTnxnPFu720+ZAZqAl21t+mHGz8t78ew5/emYrOtIt8Wa8nSPqMwcdHJXCmmdBDwYdvFvo6V7z24yQ73CbziwQCA7XkhvP69OY4PE757N9nKsnGajwlZGI7niAzmwPIDwbP2fQeGWhwnHBiUrBw1M6ku4xDtx4tsBDgSBw5jiWVa80srUJXdCzgEtlvuCLdu5pF43KshuzNT7HPmMSLMFUqXu6sgxR2e7GgSPyUMn48l/bN6xjKozgX3/ZHJ6Dzwxv8wRz+nGzX9GqbQa1iw8KGhWY2N/6y4APD2XQwWONaGuJ/vEHJyCZKDDw9re//VoboHdpGt7xY9mQ9kVzCDh38Ii3k8sCT8kfvnj1q1992Dpf/epXj9J2+O4MDbxB53G8BYkrF3/HO95xBC/RR2ZOAJw9+JKXvOQ4/O2v//qvj+0+9qgroa8i89d//devKh7wFeclB922oq2iKSPsPv1tDlW3rH6kEwp0uY73/K5KhJyu7Yb38Hp6sCoWsgMfyU6v3cRz2da9tso4OZBscDJqDaE/rQn0JFyxtzcAWzCgwAKHVLuq7Drrpr3qcAp2/N/bDAQBcsxjDnRDK20KuppXB0TDZdU7JZrM039BC3RvrdKmgKQxso/Qgc5He20LhhYkgyff6SfrJAcSTnJOe0WlsdKPZZz1BZ6Cc/jWd7gty+5+FVdwVnZ55+FaVUrZu+nHPYgVXchHr1/r7VTmqz38FTx43eted1WeHt35CtmzKufQjC5yrQBuW+HiNc+UdC3gkH0InvRf+hEec+ILqBrfd74L/OIHsgOfxiYPXouIhsm/fgTObhz0O1anD264Djrk58y2WLbA+kyIlQf5o4AYkQ5pSCAJVK9FQyRGP+fbIUj2pBeZxoQc9zKI3pVHwPWDqBGeAIhQb6k1QfXbP/gzcsCEsYvc7O+MGJ9l2zH1OnplEXyeHfScKnjwhynrh4L13bVK/hnLlAlDnBLrz3wIsT0cVQ+4R4Dqd53UnNXGN846sIyGInDt12ys9pXsp3sEmkCBuwgoBVv2tv4yRDcDX99odXZyd19li8PSpmfjKb99N05R7EtsbL7rMDfO2Un3bIZje8Ki18KKB3MyUqSXHPZgwQ/hqgqHFsp4pnGNV8XJW9/61mNe7ZP1aewcuT25feddECCeNSa5aH+n6xn8G8ShjPXdXs2UdX1bpMqg77VKw+zda9FEc3DcOOi3HHTvtPeXE5RBhi74bXWl7Dg+wKsdDMdoYjzgCfLGSCTPjH6viGGQ4o/2lqFFJ7xbcJVq4vledaL0E83p35e97GVHPwVXyqjigQ5ryQilJ8yhQ44KZObIGrfS5rJR6/C0RmSAbyAuA0Mb/WZIkZOyxZXal3XyDF2ZwVtQuNLS9Ln1p0DU6sgOxkEDfVmDzL8Tzl3PkE5HFmj2bNlw7XPS6cgCk+09ZrTuPke8UFaf3i87lAGak7oZ/K6BkxEYXjbD5l56Hp2ac076Vg8YC46rqABT9EN7MGWAFqx0vdJTfRXYsCYUTClTV7bF2HCao56hXkYGHDnU6R+wuLY6sgA+Othu87nPfe4w8NuS0ToHLmPCeUHdnOkcmWyU5mMtq9Rem9aJs7Nunp2SHw3MB23cA0NZXzgrK6k/Dgs+NSZ5Byc9f50N0Etr6iN5LRvSq7/wFdzg4fQD2ah8unL3Zz3rWQdf0oVsRNnX3l2OJtbGn//5nz9k075zn94UJHOMTuxGfPaVr3zlKKdGE+elGFOCh75kd+E9zsRb3vKWq3ek4xv8Bk7Poak5pB/xIz5gu+ELOiEHXb+u0Z3xTCXZcJqjZ1xtyE/Z1IKCdF1VGcY1X3PpzAVBCuMXrLB+SF4VLCgQ6HBmOKQnPctBr4LGOuM6PSbQaY69Ko2eY2+2T1m7qnjIkOvhAh3KhltfCpoKfmSxgSgrAAAgAElEQVTXdECazLm5mksBUfOrxBoPtOcfngqGrX7s0Ee4TAe5VmABXP7xlDnAnTHRFHx+w3lOeDoDDDn7+gIXfVaJeEFV45bZ1z8YOhXeOlDgNX1rvA4J9JnDvvqxoKjx4aoSdGPBVeugcf02N/wB995s4K9XyvlMr+MjfsRWAQVfDrdn8xfYG2ifg14gIPznf1RVQgfuWQ7JDbjIVIknVS+CIfhGssA8CggZy+sQr7N+vCf2oHuNRYZ/ynsNqRz0nHNZIQoIwX36QwQEkc2hLChfGXQMt3uuMT4FSfCLsFLClAllIZuUsYgp3va2t12V62F2Qo4B9JMjXRkJOMBTyZzrGLqolfFu95fj5H5GQW0xqoUhY8lC4HdOesaI+3BFAeScm8/ZAXO6JlwRBvPA1CnyHOoVrvqHl5w818qqdH+fLduR4bH3Msxy0Muk5winNOBuM/A5skXdwpXPlMJm0DPQU3xwk9McTlKcZe0zGDvdvHbwtRFVMFbmo02VA2f6Vt4eXAUnouW2L/MWvD7BW9uCAutEa7MOPH63WHzwgx88ukaHop+9Pmqz6OQEbPggXBcIKPqsvflWvq7f5pHDVGZss/r4JVj3Pejt0dKPxVtm1vNlOPA7pfuFL3zhWivX2wrzI3gjA1S5WQ5T2Tz0IRNw1/5yex/Rio7E//79Jkt0nj/7Nf3GK5xwzzI+8REeZzi0p6sMo21A7muHNlVdoN2LXvSiYzywpguN2buHGTXpjnS1hdu1eBMf5XRkYOQ4rh7M8M4YyRjKoY3nMqrAkeFURoNREN/S1zmkBfb8riyxCH5lo2W+yIp59b7YDCHt4aYywXRTBnWnoHt2daT2cIImZZjRpcwNeSP/rTnwBl507OC+DZyBRz/mmnOc0ZmMVi0AjjJ2m33Ud/oj/bqHh5aF8azxwOf5sjn4pefB0T7OgghLw3UujOvZDL7NFG2Vmu/oUkVZPBY8Occ5bJ3sDCawfO1rXzsCVfqpbL7tB2UjzZFtAKZOk+4sj5wbeK3MvgqAcICny5ZvRVVGuTkGXxlF16ombAwGMfy651qVHzevWfufAxccdH/kIieJPkIrfA5/DPvnPOc5hzyoniBrZX0LipAvB3JK6MiMyopbo2ybTMbd49CrTuyMhg9/+MNHXzLozjnSFj39Ow1bH2tbgBXvtc8aTNkQsthgzZHUB/5j71by7vl0XPox3RLv5jCXccWLxqlSCK7giGxXNaItOMkUJ53eF4zNQS+oB9/kBmxtmbS+0P+9vhUOrCP6KalU0DVn2bhlheGeE27+VfOVETVWpdzkBT7Q1FhsXHTuveHwoS9yCW732fbG7nA1eDRv8ynYRsfCUVWDjV02t+oGut+zZb1zal0HAzrhuTLM0YeNBWY4zr5sDzpaezbd2Nrn01xdTz+YU4GBbVcfJZyqhgVfgdLmD/b0EXyaK78J3eHOb2cwoCd8xCfmhGfbxuU3GwBMbQlBJ+3hrYor913Lho0n4aoAVMF2tAwPm4jAS/rUXsIh+569K9DmeoEpuAYXp/3GQb9LgzTjU7QS4i2EMY0uIwAEIxTmWccmgqZ0MLjD4YrCyJITQM+JdCIk5doin1NPIVFEGMuedcxBaCuNT2CLcK9jlmHZPhdj+e+QoYdCjX4oIkohR6b56SMlso5oymSd87Lo4QzTW1w46ZRrTlyOFQGAI/PNyAzO5prD7jqBr9oAzGXqy7yDvz07mw3OODnjIPyv01sb187OsHvnLPOWi+d0U34P1a73Z5Y5L/MMpwUHbpchz5HtGTClbDLsXev0TTTJgXJ9S+TLopyz8JTeZv23vF0fVV2gfZmhjG1jFRxS6uN9kOZVFNLzVTyAdw8ICffhoIWn4FLbT3I2ztnxdaB8L7hWJJwy1icZ3D+OOsW6+9GNlTzfZNBvZdCVslY6BocZoQUBy1TTqTmJZAENylB0foJDOeMXGRJ6hnFBH6BHr9ApKNihLBY8wU77NvVpLLqSsUa20A5cBSLjJ/zmXuX5GQF4cI3Mvq+DXlDI82We3c+pqaKg0t8+XW/9yGCtDDuHCXzaZ5S19uQY5qDCW0EqfWy2vGAJ/LWnksz1fvgM+IyTMgfhyNg5yKvnL+nIMjLu+aeHcwTjA3MAv//6LTtiTM90CFyymAFIH2Vswo3xtNW3cdI57hWEoGOix2by228d7+UA6BM8rlt3C+C6XgBKf5V3toUqJ931ynMz+tOBZeALdgdvDgDceFYQi62hug5vu2+O7nu2scw9fGYI08/uV0nQJ/rXD7xWCRZuChZk7Jt7hmn2hrHIXofUeZYNYg2vNN8zcOae+f/u7/7utTZA79I0vOPHsiE53mRN9WMVajpBL/yG3mhfmXLVGQW1qq7gyKmapHdUB8kewzM9KWvstVO2DwmcoRO6oxF+V/aujbJ4esE9jraT9rd6A5+gY0Ghgmy9IUi/9IdEyg/Tj3QqHiwzjpfSYzlJ8WhB9IKWZdDhwvd0EbyxIfEd5xpO1ybD237T3+0/zwEuq06vdoZClVYCEjlmArrgYY/7ZAPQn9ma6XrzSibBlRwVHNx96elt1/SF5tr7boxs9NrhC/fRsm0MaK59a1B2Xv1w9quqKjFiPYu+Jf303SFn6QA2ORjCJTg6QK6gZM67duaOJmXHt4qIboKrKhPSWWSg8wzK9mfTa1MFiPkmJ/o3rnngc9vfBKZkn/FFW9a059dke6B9jn/6se0S+BufoB1ZwAvwujoZbsNNmXTzcc3cqxhJP2pPvqpc1g6sXqWmf/ipOg+s5MybjG4c9DtWpw9umHK1Z7xykQx8n0V5MiAoWAqXYsCcni+riWnaQ/4TP/ETx0A5p/ZZOrGzv5wlDnyOTwaTA+R6zQmCyw6VBdWWEt2/nJGUGmEoO5NDc0bPlozHSDnoZUg8UzvzrK8c83XQe4e4NmWJMaVgQ0qysjptCFYRyRxaznZKkUCsg57TWAWBMXwvC+a7/57bMnjf0WozzJWtL17Kpuegn+nid5UJmy0Hf4739kdxbOllijzlqm0ORLRLcZqHhbX765SXaY8eaLTz6VUgeGbLjoN9lfrCm5NfpLr5n3lnS4LKqARnfOBgDHviKhuNNmgRHXLQy5abF4VW2yLY7nsOnwYbxbjOfDDGPzlJ5ryVE6Ld+uCYyyj44+z1V/YN/uH0JoN+y0F/4xvfeHUwJV7BR/CNN8taw3uBIbqQDJdBRbP2/VnE6DE6B7+iO8f8KU95ytVBbwVp6FD6Ut/4gBxxbNAyw4rBKqteZY+FOAcNbStp9r2Ft6w6WlcC7n4GaTqaPjQHMJp3cyz4g8c9Y64FNHPEGU1V21SinXOekckg0xf9A2aw+MSnZbn1A45zBtg1/XjGmOnB9quDi36AlzLa5oi3M6T8hleGUfrUc5XRr/wXoCkzV/ZH31VL0Ie+g72SX3PJgA/GZHgzOL2uaKtjMqjgsfW6TBwe8715wpP+C0aUwcOjXUPvDnWtTzjac0fAXZa6+ddXlTwZics/2hRIyMAuQFkwBhwcBZUj9KXvBcXTheDKIXYPP+AbMLYmZ5jmaBVc3WBBQQ7zX4O/7FABVzTo/JgyXGjRu485BfovMWDu6Iun3/ve915rA/S8fj3Sv+PJpz3taYcu5Oi1xsMRvCXPrfN4VmmshA0cVrmFpnSXTKKDL+HZ+gTvHBZB0rKj6SN72LNPySe+/fjHP36c6F4Q8c1vfvPxHH7AVwLVdEI8UZYRfPQRZ9cc4pPln/RjThc9oV/8UvWGsVqL2zaTHdj2CG03ey6ZU1YYn+fksyXwZvaZ58AuWwov1gHX4Fg21V+BRLSoeqmgmt+CYmXVOwepwK5nO1TOmuIPPtrv3/zdc33/2GxkBS4q/a/iquBdhyIbD97Jnrac5wIZVWXRQ9q3pQBfoE8BWO21CXYw4Z94RDUF+phT1ZH67vR51+EDDPBhLPOjm+CSbmE74ynPmK95WMdtpdhzQAoamm/+C/5rXcqB9lmSD+460JVMaG8OaOoVa3ACXvzlU9/4wFxc29Pk8QIYja1tY2iLz8wNrjpkzjxaO85nGyUXYGcrRldjkivtya+tKca11aSgF96N99HB+Qk3Dvpdat2UqxL3jE4EgdCyH3WdwshxKNrTKwQ8j6lzoIvMUDwYmrBgRooNk2A2EbZKMT33xS9+8RBwzJ+Dug46xihiiSEYVTm4RaN86juHDPw5382lyF3OfYaU++sY+20cyq0y94zc+qIYzcG8MCQG1X4z6O5vZYK+RC7hCMNTBGDMAIVjhmcHQWUstacZ/lIcGbzGzTHfT0KYU9npjJRJjuCyDgHU9zrE7rtOOeXwgrdM91ZUZEhtGXsRRv14puz5D2PZ9mSVCan9lrl3LXjhLyMvuH0uL+y4u68b/5Y1S2G1z8a9nO0CSZtBxz+7f8q2DAtaPJnCQqtKd3OAyuKXdYpft5ICTXauza1MenPOMXffXMCdIast+luc+xMgS87jk7J/ePjGQb/loL/2ta89eACuKyFD34KH4T5HEF3JPd7oBFf6ljzkEKGDdmSZgUDvtTjiWbRorzgekNHxikq0oU/pVvqSg+75HLSyzT7pkJzd+LFMputlRCrHBlMOn3vJSPKO/zP2csbiXfJXdmgd9rKglaObF34MXv35nRMIx57Bq9YXjqi2/smNe8lk5YMZOowUfO7f+pIceQYtMlg6tdb9HF7z9du8MqxWv7kPD/qu9Dkjnvy3TYXOqmQ3vQG/eCN8piM93/kucA/OnIeCD2u4rv7pICq4q//KJfW12egyRAUE9Anfm6nPsI8HfKbzWzPMx7g+jYUm8RV4o2G8oQ04qjJDJ8adbKf2eGIrPoyTU1fQNH2sH7ySjJTR6hCm+KwAPTzmXPXdnMp21W+Om3voWqUJ+DgEbX8wV/NJ1sHynve851oboD9snf2/3s+G7D3o5IBuoo92LS6IlX5s+41yag4RucMjnqUHozMaW6cEKh2MRlZc45xoU3UD580+9fe9733H2svB16/+OeicqSo0qrShU2Wn/UbT4PWpPZsn/YhHs+Hwn2fxfVVz9F1rLp0bj3i+IHl75/FnDrnvVbJI3HDQCuyyIfUFRn/xn0+8acuptcMBfdlzZVvxMf0OP/AEP8aBE3oV/lRk+a6tPnvNLp3rettOBQiqGnE9JzP7Ih4yV2Pomwy3drnuO1u3cxzgqsRK8zKHDt+sTNxYBR6MYy5ti6p6a/XjJrmMRXbBktz67HBpuiddUNl6+9WrrilAjRfSaasf4awMOzziT/1vlVc2ljFauxaHnYWiLzygIsQ5DZ0s3zwL/LI/qnzCg9nY+KyqLngwF/oYrxXQ97sgJlqhA1j6nh0Qj+N762Zwm2tBVXjngPtse0f4BJc+nZ1z46DfpZZNucrcIHgRwEp/WrBisLLLGA0B/GYgEloMiVAZr4iScdQeFUoc05S1VmZDkTt10/hKJcpAu+cUQ+3rx3OMoBhsp11Jete2pPmMns2glwErwqdt2fEdp6y1a54BdyXQW+KeUSPLJYNeBoAxAF9wTOAIpYXIXwd1mCfB2n3fG6UrU13wg3DBR+W16zjr9+ywn6/5vY56wReCRVD1nwIyTsaqcdZwLaMenjPq/N6Ms99lGGtb5qbsM97CCz63n82cn5/1O+e8RXbLwOG+hXCznp6jWMCUA+Ja2Wpjeu4cJLCgVK6V41CgiIJ85zvfeShFY7V4NBb+af9TGfM17ssG6K/sOfpSjDmDlQWe+TqD1vWi8RscKECzz+EvC54xKmnKOLruJ3Depdp7WI+lIxl5RcnhNH3gO7rg8zKf5LPSYN/pirazFMxjgMA9XrAIOngHb1igK6NFDw4Co+2xj33soXfsr8w4dLCfMz+qZErXFJBK9sr44XN8kaFRcK+sSI6PzzLjdCF46su9stwQmZyVWXeP7Jo/WSBXySa+JUvuec787Ztsr57n0r3JY9mSgqrpdfqCYVIWuCxK5YXJsXG0C5aqevRbZqVMjjZVC+T0mW8ZnYx1uCmQ63tVEOZRwNY8y2LATUZwhmJBX/1v8Ns8jAMOcytLtFVRcAE/+AUclZDDXQG/DKUcB+MUQKFvcv7XWQVbZ8rAM/gLIIC3QHZBiQKaVXssH6W7CgJUUaVfa4m1Hp9Ge/TyTCXorT2V6JO3smPhNnkzZ/xQ9VxVK+nLhatqiwIOVY8UmGzeVcUUfGqNsG57Bv61oeuvswH6sJTdXTROPz7pSU869FDy2RkRuqy6oS0ccF+GFV/JkjvwqgSF7DC9QO/1Wt1e4WScDqnCR9/61rcO3emgTP1+6EMfOnRL65mDtgomZbNyVnPAsoHi/eDHD+mcS/qxtZK8ZLMYv6qh5KiKOf23h70sKOcZnvyuxB3Pgpe8fOc73zkCWfhav2XR0+HkQbCLruLEepauo69UJ7jmO0c7W+T8JgLz4HBpA2c5WsaCA7Y9OrDDfbrWyfE5rQX7kil95gSTF7a8ftC1YGg6DP7hpsqC9GOVkHBftWB2DVms2srY2oJPMMZfgWCf4Niy7RIk0dTa3FavDoRsu8xugTEPY8FTaxwY9IMf0TteSKcbN5qn1xoX38MfusJJlcnwYBzreoFXdC3Ahedd76T6bDqB6apSqvRxL9uSPUqWmhNdvjZKcNGtGyBeeQAD/LUutM0KDtkz6MB+SZa0tyXlOuvHe+KQOPsa26+BwSttz8jZkgxKDnEJHEZuP3ROvSimP3vKRfj07bA4zihiF8lDPIQlFBhHn8o6/CE0xvqVX/mVq/2YwYJBY0qC67ky4RQEwW9xPWfOz459z1XCbgzX1llzzXMZ5K1h2jXnDIUiTYQSUypP8lfWt2fB6Rkn3ptLewLBm6PXwqFtDjic+b77l9dw88zuoW68S8GK9kOjbVmdDJ/KwHt+nd3NRrdPp8DAjocGOfE5jptZj3YZiEWF1+hfeyHY4LKMsmdaHPu+z4CP0tyKgIV/My34uSBBcGfsbp/ngIN7xo5uFGUn+zanStAoxKL/54ADPGS011cLU4ZnmaqlS22iUbhubuAtwFUkP/kp+MMYqJ8cDAr7xkG/lUH/1V/91WOhTxeiKXqUKSlzXKaFLqjqpMBc5ZCMUfS2v9JhRzILHJZOLiffHbbSCbz0pzGdfO07veue80OMRYfpsyxxgUd0zblIN9JnWyFVaXKOOf7KWU83FKwyvzKOLfba5si4n8NW8AovNnZOOryRYwc9dTjPZj/SyRb8dEmfBQyMVQAMfMarnLusu2fAlsFciWhjgSOdk2PnGd/POtK4OdrwQq4K7LbWpIf0gR4MdHoFDPDWeAU50zVln/Xrnt8Z/Mn76kjzzpGPVgV2qubJuAWDfuG+Pe3h0m+4CS/piwy2stvxc+/WXR3Z+ODMed9rrhu7MnH8zfHIYMwAbU8u2nQgVHgKHm3gsv3m5lXWvXEKqHimdUObcJqM1i6agRGf9lq/qkUqE4Yb36s6gIOb16z94JA4Oska2hpfFUQZOdcLOLFR6EJnEdBhlX9XdaNcHq4dIui8jmc84xnHvnQJHnRkU3KU0JNzzjFha6LHK17xisOJqAz5+c9//iHHySM42KB0uTH8Ni4Z6E0RHWyHF3KM4r/sh/i7DDqe0RbPkD//BRy0BQO7tm1ABRazK+lC3ysR1q82KgIK6J/1I9lQVQDO+i2glrPsekFi/XsGvsuCwkv7xdGq0vPkPhkpWJFu1H9npbT+aNM6AH73tUsHpyvL7LqnYlcCDw+VGCLHBROzZ9nL5BTfmFM2lWeyIddur3poE0kFFDuw0DjW5raj0SXB1jytyZzbfABjVUUArwUBzVf1h2CE69kJOf/pcPf0fdaP2dwFxr06UDv4d82cO4WdXWqbhoBEp8vrD2yVucff9CW8t3cdjkrEat+2UvC1HQmPgCfe8UyJVZ/o1RY98luCor6NSUeC/Utf+tKNg74OxMP5XvSTEux7TItY58w5hkEEzIdhyywS+LOD3unlIp72V9qXjtmLNGHczfgSco48wivpkTlycjIGqmQTwS0E4Ghv9WbDMxD0e8kpTUDD0T67gtw+zc0Ubzb3vOc6p0YfcNYhcfYhE4KNADY2IYc/MCld9We8nKnalalpn2RKeh1NAoJelXQWvXStCGHKqyw9uPav6OleB1uO3+KuUq7NnOcQ1uc6v75nILufYxhudo/XwoT2nl2nAM36vc48nOfY6g9+LlWCoEW4A1PlQeegjL4rU43/yjq5l6OeIl4HHd+2GFXiaq7gqh3FugGA5UXfVzbKoK+Dsng6O+cpW5/ma8yydHhl96V33UJV0ER70XLnQVzn6OfD0XV32za9aNtC+6AthgVYcgrLTuckdB0d8SueL3vAKccfMiho+lM/9VPHQubVU3jCIssRqmqi7AkDKl3qNUL05P3333/0XRUPPqtMDx31E89l7KTXy6CDOQO0LT0ZEJUBFzXPKU5HVqoOtjK4GXlrjFYiWbakyh0GDQMx4zZYMlj0mRGVMVaGwDOVdOfwVxYIhtYwsGtbNp7sgd81hiAjA66N47lkMUOqrE7GeAahz/RR5bPaeK7sR6WzZbCWD+m2La3Fa8b3rHnnuMZLa+Rl+FYdlE40tmvG0wc64kHj7EnkBYPhNNqnzyvjd918rNX4tQx67cEDRtfxGBo3pwxG48Z32sA3en/qU5861j1zLdi1wa+Cle7DbcEjn+QI3qsu8FnFQ2twtkkBtHhd23g5I75AfVsrtCm4W7aywAy8g8d9WV6nhz+adeRuk7RmcLjQqEPHytSRy4JK6Oc6XuhcFboQDeFZ0BGev/nNbx6y5D3mDzzwwPG63vYhsw99x1NlCdHvYx/72FHe/uUvf/mAhX7Eu/ggXmeLohk9ady2mGRrtWbmlK5+3EPRXM+WKEBYJU+VpeZHl5VBr2IK7xSw8Aw84kuw+g0Wc7T3voMuc5rhl0xZL3LiVFjBK77vULb0I/3mu6yr+WbHVBXZegAPtgewTZXClzEVBFF23RkqzQG8YEk/VvGQ3nRPn+lr39mj7rdNCA5yzM82Ozijmz7KXrueY4gG8FuGOloVvGzLpmeMg+/Agc/a2145urUoXac//LGl9vQqHNNNcGl+vYMe3dAQz6x+LDhsvp7TR1U78GB+VSaDtbVachK+09NwXXVoAVf0K6hkviVeyJrvja1PQQbBbn34L3uefqyirLXHHCrdN6+22ZonXPLT9Ak+88jGx5et1/jG/3XWj/dEBj0HHZIRasvTc9hzzv3OQccEZR0xrjaYmoDLjGhnfySFiNFbNDmJe8o6YxMhwSGbVOZZhjkHfZ3qnNjgyLkuw3DJOff8KtyMjYxuTKifjATtiwb2GQyEASOuA9hzrpmrEnc42DZFNesHnrbMPcVxdpz9LlOesUN5tjjkoCfou4/+7HhuAOBS5jscgnv3j58dnBRJC1b3NzN07j/lloF0jiLWR/t3M/BTAD4380xRbfXDZvr1RRm299L3+knRpdzh75x5bmHtmRx2sOsLHBny8XUnc8q2mhsaubelmJW8wQ1Zq/y2xTcFaTzX0KuSt4zv4M4Q3/nknGd0+p2R1D7MKmR8JrfmH/8Yh4F13V+RcbdO98N5LgP03e9+94GfItoW92Sp8m79ZmBFEzKacYoO+IfeFKzkbOtTRr1XTFZqW5CJzkBnhg0DwimqIvVOKmZYOcsiGpZxBWNR7RbjAkp+48kytgXkMipyWuIx7cCYgWGuG8zEx/FaOhDfgsGYW1lgLHxWRpIM9Yoy/eS0+8xZIiMdsga2c8CgqqL0oT4zWs3J82DIYS+Q0meZmJxEON2gWlnpAqMFJLSHF/KbU+gzw9CY6cJkfHVk+6XrP5x5Lvgz9su6r6OQTnEPbAUF9AsHrXX0jfUgIzqYqhaIF3J6c7KrnABDhr9x6JB05Zb2ZnTm5Bsng7RMU4ENa/yf/umfHg56AQZ4BXdVCngKzDnL+GSrHQrWuIYvPF/yoPU/vgzuMkc5+21Rg4sCAhsYaSsRXOijQG1VG4zzGwf9Bxn0Jz7xiYcDBcfsmD1EDI3aPgK/cAmn+Ieh38ncHdRHp8muf/rTnz7oKkvsnCRbeuI9MsVpxFPobTuhhAjHhiP/yle+8tCPvhu/AE2BtA4DRHfwprvAhyeTn7N+bHsRWWy/NLjZctbMbMNkHW7aspitslUpeDA5T/bwo2fYj+YFX/CQnMOBefhXxs5R194+Y05b97M3K3HvcLjWMXip0kj/ncsBHvKWrm6eJQhyYsvAbnUpmuqfrKB5p8R71rzSj2BHA9cEWvZ1xLtd0Xeynn4s0N16VhAifLeOoZPn0D3dAKbs87ZYmD9nP/1ovNZgMOODtmuBF3/gt/bPG78zZkroVKlTqX1VY6t3OpiyrRJlzs2PT2B7rzMIXPdfJRYalXwCh+srQ/k5eLL1VsAmutCR2S0FnM3hHFwoiB18bSnzTMnZtlmZv7HgylpTIA78Nw76w7E2T20zPpUIEQAEX0el8jCP5aC77zmf2lMIMrZlICpbd0+GJydUWRKnFaNgEH1XJu+dmA6sIMwUTs6oZ84ZdL8xfoe2YRhjFWEq65AjtI494Tr/5XxndNYm57BFfp9dJYwhy47kGOegUzqdhHmJTATPIkMIzKsTNcukwymjfP+2pD1B23JVbcG3Co/gFAHzzB46RvDOjnTjZZTuloLNqGcIFTRAlzJI54x6GfQWKwrEf47+jpnDuxl098sAXcJlcK2zmiLLqPdc/J1yyviqJLhS9+X9dc7xSYZacOwcLKpO9s3wzpjTFm/W1mIarXyG6zI0+67y4Pa588zRubStoXKl5X/fi5j26RqcWVQzvn2S8RsH/VaJu6oItCyqjw/ozPgk+rneAp6BQy7oBLoSv7XvGi0dgEQm8SpDhdPeHm284BnyLfNBpunHyvDo3V4xhI7oVoBAH8l1e0MrTU82i5pn1Mkh3tYAACAASURBVJATeu5cXVN21BjmXNWFfnLgyITx4WEd9AI/eDV49Od3TlYyu45ocmCsSsnNzTgZuvQDvQY3GWo+M87KcJc1aG0oIEc3Zyync+kFeOiMCXMuc7SVUAUXC1iApZLZAmDou2WC4MEL1ol0doZhmaQCdB3Wqm2VNmWlzdF/wcIM/Azr9qTnEKcDMgIZ1MYBb0HOAjOugcWnseGXboj34QBPFnAHQ3Qz73jMWOErOoAjfnbyr8B92U19xHfxTG8jKJjRPOINcpCjksEORw+lI3MS9FXgU3/BGF1XBgocVQWCV9zHF/Y8X+cM0aW18pG8lg3ZAZf/y96dsG631fUfv5+BD0SKkCxLO5ENphWlhkMDWUSTTVqWBjk0qEh4JEPTSsrSJj0Nx8pME7EoEzIigp7G/xH8ee2b9+/+nM11e+5zVPgdvH7w47quvdde67u+0/pOa+2q6wr0Z18VsMt56/WSeLVT/dl/7AN2IpsU39uHTRaf/vSnH466V0+VOcQngj3o8Mgjj9y8+1nA07j0pQrOdA++R188LyDaHl16gI6h+5KNssfJkOfAAb5zYoGMlOAhg21pxCfk3zOeLVC2Dro5hAsws8dKkrEl7BmXqWzdWRkoeQA36fvsl2xzdOHkJ6PG5tCx082tPcU5ntmyPq1FwWqOBSHYqR06Bh6ZfvPbrZzhyPNkDr7BCwfmmYNexhn+PGMNFFAosZR+1I/rZLsSfbhpLQXHVgLBl/HAXRDSnKwVJZ7O+hEPuNa5HcFN1+GV9K/+wF/FQJUf5gKP6MFuj/fDPX2TnQVfJUSMmU3uUyBKJQh8Fkg2/xzuMuiCWPCUflwbEhxko6BKdoE5ZINuJVJr6vJ7Wz3Cazgwn/R2iShwWDvpSPP0G97YN7dZPz4lMugi2UUWCXbl3JC82UtCUKQxh52AR9yYpf1IZZDbl46hyyApt0BchDamtp6jlO2tUELS3vjKyzBgDnqKCiNiij0Aa53DmLGsxC5OOd3u+X4/p6xMaXjxSeliRMxatD8nFGMq1ye45txiX7newmAvSZlwgud/Kw20zfEnpIS6gARhhpMVOO0rcW+c2lOs+ur96QtHTt7ZWT876T1DyfVM+K4sMIeyoMeWt7vXqy/QH6xneFrcM0wLvmxJeG02a56h32cZdGMGyzlT3j3Xz0GF5X33ylptBjKnJbzkoLdAwWfPaWMOaNw5AlUE4DFtRXPNyW/zKINe/+R0M+mu5zAtLtbZqa9zEKMMejjI8K1Swfvcb7Ny/WIamvfrKwPUuQJbGl6Wkgy0cLZY+V3pF3klp/CYHrPoMljoTvvQ3VMtRI8wdozD4CpIgy/oS9FoBoy+M1zxET6hR9uPi1crKwST+5UtZ8iQ6wwO+qOsQffTWTndfhec2sW5bE1BsCqSjJm+zHErG09P+E43doCUfvDsljQbUx8MQ2O3Vzqnt+oA99Cp4ACYCyqQn+A2t84DgHN4LKuaU9jWqd3bV7/o4ns6coNccBIetQODeVZmrv+cgwz1dJF+yqTpu4xPgYSC3tHLWNFF+7LhdOJm/gq4tX6Zv2vRwacxwmclq1th0xzThQUk4o8cevfd2yxS/YC7TD9aesbrsQSX4NMz5lGFiflrXxC+AEn6HD60yVYxvzKk8Xv2zOpN37Xzt4ao7xmV3Q9PVVjglTL6yTc6qqz5ctaR6UfOQsEkdJNNPmcQC2qSW/jMqMcH1j3yQA782wbE0VEpxLZTiUm/OSSTDNON7EP09hy96HyOZz/72cf6+o//+I/HoWQOIMYf+CwHnYx7Hh963hzcY3Om/5KJgmo+C0Ylh9p6Fl/gN30Y27ySGzwK7mw8Dji9T5dxONvGBHd4urduWF8effTRQ3dz0HNUybf+g4HM2CIF52AxTgeagbd3X5clNkYBA3jkrOurMv+qvTiYJQDcL2jAMecYC6aEv/RjmfSCfuGg4EyvKcMHYLOmVWYOT8ZBF3hJl4TzqjOyvXbPv+SeKoJwglbpefPyG55cCx/aVkGzybzsMTqHrQbfBRHQ0XPp/xJU+CCbM52e/Qd+OK86oixz1WAF/UrksIUFqGzp4Edk33dWCNyhsX7wq/7hhqyREzCzE9zPHjfn1gVwwYPndptsvlCl7+n3cKotfHUfngoKVYqPHwoce851waHbrB+fEg46wlJaCX/R9HNmLien6xms69RVIii6jYAUZwfJYeRzWTKFQEgR3x9GIQgWcmUe4IrZMUUl4S28MVaKMVhytvpMMHLyEpiEq7mBVR8ZNQUAyr60uC9uMGBOte8MCFUBonVb4h7MGS5+MwwsRuBvnsF4dlxz1DMizyXu+oPLDJ1gLTvk9yoVv9tzep7PuRQeHgl1sIG76Gr9rsOufVHQ8579DtELH+GI0i8Ka5wOxYhGrqVAU3qXPrXPGc0JrR0+KEq+jjN+CJ/tf93tDuhrfLgta3jO/uMdjtMHP/jBm5Oui0jnBMO358qgh4McdDhrDAqvhTNeWUcyRwBclWNuBYG2lYAmJ/G1dniBss6AzsnznMXhugf9XgbdPkj8AX9whp/g7ZKOxB8ZFu0/zJHCDxlY+iMnsuIMjiLhlbOhQ30VPPGbIWaPIF560YtedHNCuTaML7rXuGd9XeQ9upcZzHk0t7IHGaTkp+ym+ZYhIjsZVcbCTxl0OTMt2Bne8XhOWa/ZzOgqqJTRHX/rG470l3HhmZzgyifhqxI7coOHzXkda2NXJZDTmMO1VQCeyYnL2Xetue2ZLeBK/5eVqKy+QIg5BXPzy/mDy7Iw+CqdHE61D2bradk6+DfHgiMFLCpJrf/mVUbHGM05WOhV8NVHZe2bBVp8u8+52Cy58bR3D83BmS3ReOiBXjIrMqfnqgR4Kyisf7xV1ts8g7HKJ89HY+2aW44WmhW4aLuFZ3LAzN9/cp2eTbYLHMSzVZCYK6eHIX2bDdBdL74U35MDPItelUlX9bJZ1dbxnOUCU3CJhpW/p1/xuuuc7M7rQOM9sRs96E40wPdVkeAtwU7vRPcMmuNBOkflBl6u6iK7qsPCcobSi+l68/P8nkBfkqbKEeOXkc92zb5tO4c2yXTOba/mKsDlGQFyeh6c6eH4OsffuPp43vOed5OxxfPWFvfgkLzlcFXuzjmGU05zJdie0RdY0KKkVgHOgsGtZenHDjUtyIiuZKP3pIMff6QTOmy1wFoySM+WSS9QiTbw2DYI+PGceRRM8Dx8gUcysOoAvOi5knfgM3bnMjWe/itZ98me0lfrm088li6sIs7vzvOJlznN5svmhfvNkqP/nuyuz/Z5b1BfEIoNqf0GntNJ2ZASqyUIPN+B02SOHZD+B1Nr5PoZOetozYnfBORWYeG53iDg+567AFedKZXNnf4X5LF9+Tbrx6eEg45Riw7ntF3KKOZknJ2Kygxd1xch50i3P11fhGAFCvMiHgYjzP4soBgNLKKnP/ZjP3ZcL6odo2xG4JzlXMdwF6RKPIIxQ8rvFHUHQrhWVN93QgKujLvKduo/BxMjEkgRT5EjRldZrYyOzU6U+RR9ziFOgCi9rhWZTWmsU+Ba+0uK9FFWBUUol0rJOfxnB90cztnzBAodUpDhbbO066Am3NoVRfS96GWGT6/CaFFE8zL7BW+KaG7GPAc7BQGvXdvMuWfXSc3xLovfwlVUewMoGboL//L62WHP8KsNnFtURb5rW4aKwmssipTMtD2kUl10yGCNX1vY4vPKMjcbbvwM0yKue1hW2Vzt0LTMofHiZd/9gwWc1z3od6maAfqqV73qxkiCw7OxZbEro5BjnOOGB9CcseBZcqNNewIzntA6A8qzStT+7//+7+aQuYxBzyrtwz/2pNvrlbFEpyQ32mX8RGef+BuNyzpm9OHZeL9gWPo8PRxf4bN4270OYCozFn+abxn0KgjoINcZsvW/AdD4FSxlPuAqXZLT5NkcNnSqZN/nZrvIVI4j/RCM7VGE106SpnM3S5zhBK/gqW/6Lv1ctiV66z+DfTMXrTkFOqIP/JVVpBf21Pdw16nm+qPL2sICF/VT5r01YavCCsgl48k+WDLoM3I7bwCPVPpbNgyuyoR6Lv7KOc4Ril/8Tq8mBxwAWbgqRMoeZQDnSMMjelkzygjBYbQtAAQHm+FsXchuSBfjlewL/Vnvc3xWR4I9/q4KobXM3NHI3PHMO97xjlttgK4N9KX4nn7Mma0SptLinNv00wY1XUNfdBewdigcPivL6dR2TmRVGq47xCwd5TA46220KBCHppxttHv7299+6MoCZejHYcnJBI9rVU/6BPMGKtOPBczAQx7xj3luoJOOx0uu4ftsJDyfo902muxO8MKjz86xwVsODjUn/2ufJ+dVkLA5rQN0ApnnBJJd8+yAuQ7tKwNLjpJpeOosod4JTwd1KBubSZaaLuhtTDn96UcwmLfx9F3VDzyQ37Zl6QteyKQ+OH7pkA5G9bs5lsGt4smaBxZ9gNGY5qoKg93dK+C0K8HRumxN048+20KUzrEWZH961hxy0OEULs3Ds71WTV+CEL1S0L321ae3m1u8XkIkm03fJWGSIds1JPjqN54s+IUfCoYJXAt2oh8Zao9+VR36BBM6VC5vnp250drts21a2uqPg10iruByOsRv96r8KLlTdSD8eV41wNVBf5KaN+Xaa24iYJGXHNUW25w7RC9jQDAQg7BgNgzvXgbEOpOMrP446F5if35NG8EEh/IkDjpYMEIOLhiKwqeoGzehCs6EL+eyLL3fey+DOtgqwdks+hnFZSRdXwedEmcwc9BzCs9ZdHPKSK5kf3GD2SmyddKNY17wivEzDsu2VHqinfvha2loPhnv+ifoRfjOmUBC1UEqzd34bVE448NCZE5lb6pc0K793j6Ndy7B375SkubXfNcB3wDBGYac25z07uOfnKAc9hyUgiTbV0aoawWq4vfzmFuR4d573vOeI/OckZmxl+OLLmiNtvFgfEa5tnB01kAOun4ydFvoXTtnzC9l0C0S4Sb85ejjxXjAouqv7OF1D/o9B/0Nb3jDYdCkI5Nf+CojkjMK32VG6BLZCroHfckZeqdDk8EcDHyR4yNISY/kXBWgw4vO97BIyxjIFGUUlrnVJljxC32F5mWn0D1DqCBiZZLJSpnXnPsy5GDXJrjgoLLOstI5qeEheTC3SsEZgL63ViRbm2HugCD95WTry3yqdMpJhWv8TdY4gB1w41oHkGXoCg6UwUlGzSd5h7P0CPzkwIXnKhkygOGjoFr7bJM580l+9S9gWqAg/rEWMy4z4MCLXtGpAJA5ml+H9YBDO/ho7SxYlwNQZUJ0yoGvkqO1pfbRCM8WUI42zTMj2+91cjNI13FvbXJNZtO2DvCzO8pkGxsvlLlrG4RxrUXG8zwjno7MdmE/lKUvSKBd/JZcpb/ThVvCnKOyjnz0cq1spWdy6tOTDz/88K02QM/r1Rf7d3SwpuGnDPac3PAYn5SZKwGCn5/1rGcdMkGPeb5KJTIC/wWO8KWsYQEpDroACZpUFVQFCrnw7zwY9kY6twrPglDaG6Oy7865KdlRNh38nJYOgjMvcJbhLLjZuOn17LS2taQf6cXd6pKDDg46gqPvJPqy163RxsXD5uu/KsP2hZMfY5Nd19ClgyzJB93hOhnsdWFg7K0cBfBt1QtnxgxP6Gfe+uKcGq8S55x0c/NPv3Ma6cH0V1VanR/RWmMMDqhx6G66MFulvgQH0NI42rifftRP/702zmdZ7rZf9JnTbtzVj2Xwyyinu/M5tDdnOgjO1o+INvrGX5XEgxNNc/jXafe9PfHwxOF23o1AVIGcYEC3zkCgRwUS6EU8ma2Ob2ybrYJB0KKtsHipqo6qW/W9By/7XSl7wZECUPFg+hwfmCNZ6X3vEgqb4LKf/uqgP0mtm3LFIJgHIssUJzgUadHkMhYt6AiRo0dQMGILLAHK2YoB1wnVB2aqZJ3BhGkwEbjsyXzhC194E8HX3j1MuRn0BMbnOjw5iIRly7Vz0rePYK6cvQh8h7aVyVk0bxnyOuja/O///u8RASPA3YvJ3d9sKjwLcoSbnHPt2qfs+85BXwS1a2VAKBq4y9BCA9fgv7abQa/EttNTm9+W0p9ZCw/Az7m8u3bhvYxvxnT323/eGBZXpe1FXMvYn43aMxybQT477euQ9xzlt85ryiWnN/7K2K8Sw+eZ34o0ngM7+shBL1tYoKRx8AOZokR9z8E3RmNXGgrejH70S/HlXLdwnisG4EMb/Wd81mbLiH0nc2CtFDEHAv6vJe73HPRf+ZVfOWTIopnTmZwV+c5BgNfoRr7JCjnIKM1gEZHPAMSP2hT5R1vtGTky6WjKONEfulr4OP4OU2IglcEuIl8WuGBBAcV15soq0R9V7mjfmSJ4Uht95WxW5ZTTUhkyHspJL0vvd47ROuiMH/C0l7jAxupIY2fgMAzoQrDT3wVkwUSXVv3hmWQSDKtLtDFHY3kezfTXQXFldvRZ9iFdbG70ViXu4ASTzw4W0tb/yqK5ryGYwQO29I2+Cwi3hm5AMnkU0MYv+AO98RR4yi5Gy/QmPgn35p7+CQZjebZ13vNoBOdoG09krNV/fFwpergsO21e+owWBZvgVBuBd9uAGHTmVIB0g45tY2DcdxgduAtYeCbjFa6ieWtSgZrkrGxcTrnrlcqWSQT3BpwyouP9glUZ2sYHhwztbTZAn6Rp+MCPZUPSA9YyjkEBtuhSxQwe4kjAvXtkF37bkoO+ZTnhVqmvezl6nhG0TO/qx0FmTnj33d5bvI6msubW2J/8yZ+8KTkGF95ibxkr2QRXyRTyTNbBUfYfX/T6OH1wiPxVEp7dlVPeug43xipokUOeE7+Z9HXQ2Wv//d//fVQHgHcDh+EUvtu/rY2D8Th3vrfXmoyyK33612+4I//0CSfbnMgxXMNFe5/Nn6OuLVmsND07RV+yyTnVlbjrg243T/0X1CtYBm+eSXems9JN2XPpLbCFH7CwV8lhFbmqLOzDV5FrL3p6Mv1IL6wjnyOdo2ntzD5OH7qX7tK+dSNZd8/c6OKtogCz8aq8ATfetPbUd8GebFLzbg3kD3HQ+RAlSuGzACZYyqx76xXZKBBNtsCtX+tahyCmq/FwgfOy6Mau1B/Pr4PuebguAYGvqrYu4OIeunu2QA1dWdIA/9xm/fiUKHFHYIjGOGenI4edQtjM+SUHDXNgJoZk+44ZY/7KGHRquPuNhcERFyMV4Xzuc59756UvfelNVBazIHQO+kZpKuXLOdzs7TnCleGcQ99KRJAyYjPmKKIyy/VZm4xEnznhYPf7M5/5zKFgK3Hf1S58ugbnlWVZTFL6PjMOMT44ipAF05ae56C7RzgJjPtlBPRlQaKEchg3I1w0zbhFwcvgBnsKLAd9D5jIoOxQip0vGm/lQhn0YGuu6ygHZ0GISoKXruc9kOuk47EWDry49/oOr2A7VzeAo3FSsmW/m9eegp9h1z3vyxb93PnBeQZBStocLd5wl2OGd+KPspbkp5NdcyrQtqBBGa6CSsFxDlqcM+tLI/eMneNxzaDfw04G6C/+4i8ei1+LaYt2zjgZKxOsDd7K0ckQLHOZcZGBRbaTQXRzPfnTD17AcznOeN8C7HVr9lPap+gZ/VQmCK6cizL/BVvBl74vG4P+GUjGTE/kpFdKmIOWIVKmHj7KpJbF90l2M0S09W9ujFzzSO5zWnPwGj/YwcfYNM8qeapGyIDIqc8hg69Ons0hiCaeTUYzWnKQM+yCqUCWubhW0BFN6PjwFv0rrQZPRh49Ay7rYFVj0cjzcOS5nPocx/R0zmOlpenjDpUqaBfMeM78K3eF14Kz+NBzDEwwMabXgcef8XNzLVCzQShwV6VRdYa+XS9Tk/END+YioPSRj3zkGNdaXgBRu4IGBTqM2YFa6LVOSfJnvMqN4Vt/YIHjHCzz2cBCmTb4SB8nK+EouKMRmPQRb7l/ddDvBTDhPt5dnBbsQi8OYME7fEw2fWYHwilaopcqQEa+vgRy8L978M/5xgs+cz44px1CXFLGu8GdYySr556AZgecFeyhV8BYlcZWFi0vl7lcWV0n3bzoXvYN+Mke/qYzSkaA3VhVBbneWx1yQHPUVJcKUBR8XP1Y8iMbkq6An4ceeugYi8xki/pO56AN/Jsve8Z4gim9z9s44CW3VXtlk5esoN/aMw3HyUoBihI+nqffHUDXIclwWfDZGHDR+9rda+83J7JtkMleATlwoI/+8cYG9cyrzD4a6Yf+wEed+p+ObY0BI96KPm2t1C+nv7dIcZbTtwUKtSmBl8MMXnPRNnq1XlWe3lrR4XzpGfCbG3he/OIXHzDpI/3os6AsfOB741j/+VJwIqteED8+0s51Vb14DQ49V3Kg+eRkl6jJcS+gk22Y33fWj9YBfaArfBgXDJ/73OeuDvoa20/ke8Zne348m9EC0Zv97WCCdexynFKwKY4YHXMSaExHAYj2YJT+OkiO0kxIKE7M62AQJ3LmEBtfG/cw2Tro+sMcMc86co21zrZr5kcAKg2sfMPvjOUWhX63mFReuA59hoxnlKVSTAyfswN4pk+lgnAhelbVgXa7B1uW2R9B2cyIa2UhCDgc5BBvKbn5r4PuubOTHmzRot85C5vFR9d1qs8OIWXZ+OEAjuEyeCt9D48FU+CS8stIX5y1+Md7RQy3zf2c03VifW+rQWX58AbunKvt07WCEtt/mUXXyJNDaVRPrIMe3cKX+WsvG9DiZhEp+7kBE+PGm0sHfVW2qy940a85hbeVkYVzM3Rnx14wwDX/H/rQh261cn0iuu7Jtk1Hvva1r73BbU7zuUqBPsnAQwv/OYT4oaizNmVf6ER8z/lEZ+PRG/SAdvSCPujIspUZX5wdcphOJROMjg7+wVstlOav/0qFc2rB1D+aFyTSXtt0JBgzcMy/7DjZBkPZjmTbWJWIlwEwju8MBfM+O0jRKKOk3y36YCiYjE/Dr7Fz4CvXx/tlhfUH5oKhZTjovw7TSR/m/DNMktPkt20x+q2CKhj1WWa7jFUO/TqEm7U2lzIUZcLBCd4qd9JJVUaBzzWwtXexIEDGVE58WeyyvxmQ4NF/Dog5pHMyxmuTUWxNaAsEupZp92xGJ/6oFDRnO5vC2PQXw9m+xEr6o3U4SrdGR5k7uEbv3oYAb/irjHiZy4xKsMI9XJXBynnU1pyM68/3ePZs+xT02KqqKjPaHkEv3OYM0ZPVew/63GbQky+8REaqDsrRQhPXWpfwaa9yygZI5ugwfdBtdOAzn/nMQ744XBxXfelHdRF++OxnP3vYG66hEeefo+P97Bx0f/QOPSqwWUCoKjP3yWKnfp/LkTfTmA3SXNgPzTUHEl7AaI3uYEf8DzfktIPK8I55gqNgPd5S3q5fc6oy6X760diCAwIQbAq/OWDhV7/6gMMSTuZX9rMAZA4vPKUXO83d2OS/cvmy4iUKzMFc0rvWoXUw2Teb2UZna57nk/2yzOHX/UqmW/vgNTk1B3gUZDD/klptt4V3cMFDa2/2sjE65DK9om2wdJ5JjqhxwVcVV0kvv8HB3m8LBN6ln7Lf049o3NsDzDt9rS0agMN1SR5VRgW8e16b+mw7gSw6mipl54jDe6fjt00D/Ttfq4qUgjH4y1wLLrc9KxuygGT2g8/4GizWotaDKkPAgtfJpdci3mb9+JTIoNvX00l858UKQe6XRU/R+iyahlkIBCZFdAovo0I7Ze0yjJ0ai8hF+DJsMBHGk1VOQFIAZdBzos7BgRbdMuU5fWDIKDk7hNqUnbII7CJSfylHDJmB1jWCl9HcO9B7xdxmzMNlz+mnTCllxIjoNTTadE9Qwl9O9uJ6F9IEkpC1N73oY5mr+oHr9mGtQ5ixdslJbyzj7z4U1ykBeNjMeiVcrufMUJ4pi8bAAwUeCHYw61dkPAe/PuC0gEunS6Zsz8752dDovr4qayuwg7YtQHilfaApxRQquuCZHO76wTvvete7jlK7+Nb4KTsBGMornu3AFW06KK4yIXjIOS8wUgDMp/bJak52EfrGzinX/zruXa+0ffmpuejjWuJ+L0Nk0Sw7sg7OZhajS/TFL2Xm8NMG1rQRGNVXTj057CTh9tqhXSVylaC5R1/Rj2VuwOGfkVmFh/7wRE5f8KDtVu+cy97BdNaRxi7KXzC0bLL2m23OeaNj1lEGX1lqfVlz6BHXzhl0886hL4tODiofBUPZM30J6LlnrgUWyt6Fm7K/PrVNxowNnz49W+VMVTo+C0BsX5W5Z0C19aW1x7yqImjMxk0vGRcOwF3WuTJVcrnvVE6Oc4LJqucYqFVApBcL1qXT6Fy6Td+V1ReYCdcZp/GjvrIL0vfgbTvGOqsFA8zTPzx5PkenDGWvFsQXeH3/4Gp1ZIHagl2egeNKjOHBPXOsXBY+Csxs8JYMoeEavcZGj/SzNjnudGRrUkZrlQXGy/a5vmbt/x24d9CtjHZ6paqU9GNrVZnNAjgFhHyW2MFj8M8uxT9kW/vOaJHR5JCTDbzGjsFLPj0nM0yOf/AHf/Dog81R0AuMkh36LZvsmYKZ2YjJUcFUY7MTKs9vnaxqkM7tfALBR3aqZ/EcuUr3G0dfBY/gCY6ai/n4LvMo0J++qSoHz27FQQEJczGvKg70kQ7w3VoR/7elVd85hzmnJSjA2D5sfXJAwewafJUg4AxacwrUJEvGqsw9/dhZV+ZIX1TF2HU6wv9uhYXLDp4rY+0aZ7/qHzjlZ/gEFx4zPpiN5S1JVauVAKNbwOA6R14gyGd09twl/VjGGU7gqmx/23hzkAtg40Ww9drOAvXo7vl4Pvy6rlqPjilQkQ2J7qpCBKj0g76CTa3D+oM7c0m/5py3laEgO/haD/Rf8BWPxwuu4510YtV0rpcE1B7fl/zTb69M1M4WlKuDfvZCHvB3QiUTE5ETfoTBIEXjMxQpos28rtNW5hrxiu6L2vkjxJQj5snh2lemZalrvQAAIABJREFU9WoEjEeZvOxlLzsYKEMxuHIAGSWb9Q6mnI2YqVKRzSwvesqk56AbT1/m4nsCZHxtCS4mLIpH+VMK4DemiCPFytHq1RDrpPme4KXMgofCUlZz/stB7NC4rQbIyT2XoIOR8kGLpeH9TnLfMYuydu08xjrH6LGOYM+gdweKuN+WB33vafmV6ke/LUXcoIJ+K8XcTD5YNgpe8OCcGY5vtqIhh79MesZ/142J3/FBmcLeTLBl7uvsc+TWQV9ZQe9KQdGkgAy6krfN0GeMmrP5JlsFU8Cc0QPOAg9Fw5t/BvKZp1LU5rX0xbf4U6YBL99m5fqAau4LarYZ9JwQi3SGZQZUhpPfySteLkuZkeY5z3cwi/4ZkWjpGnklH+neTr/VP9p4noGCj771W7/15n26xqWb8FVnXJD1FtgMhuAoyOW5XvFlfufXIhkXD+HVdOM63pXGmVPZrzK1BQLoIThh/BSAZMi03zTnb/VheOtaDq5PWdX2KWuXzsDLGdGe89u6lhGaQ2c+yUfBVe3hTv/kLYN9A21wUTawjHdZInJSlq1AWlmXMg5braCfDqQqKFhFjD4LDqI3/LVf13wrdy9T2dYL98qIGDOHG+0yqMocukaH6CsDunMI4Cv8Z4hXcVRAwbNw51lrPXjxB2OajvR827J8b6uDPaJOp4bvjMZkojW1jH/rVplXhh/ahXt9mDt5aAudseJ1c2xtAqffBcxrkz51P0O09XpL2ksomGvBHLbMBz7wgS9rHZl+5NzEE1UptJUjPkz3sN1avwp6u0cf5IjSgXQFvnUWEV4Q3FZ6zHnFe2XQ68M9NMQT+OStb33rwWfWsoI22tKL6M7ONI5n2jYWHD4rVeY84Z2c8Ev2Gfmg07Rb2c3RxV/GLIkC/gKMlexbb+k25dsf+9jHjjk7DPRSZWhZ4ewC80ovqBogi+jgus+CF3Ba9WO2MRsDfji2+tW2Mnj40a7Am77QGn6r3Fl8pB/LeBeggUN/1rPWKHpC8sm1tgqlI/UDH3v4Hfo3bt/1X0CkKhm4xQOVXAsqpOOcAM/OMmbXtN3ERHZrtlrt0lfZSK6n7+gssMGX8ar41UaSia43BvryC1wX3EjP1o9tj9/7vd97rFkFCap6q0IF/JWRWyvQQ1/6tZboswof+GOPom2BV/wJPm3yocDTOgKnaI4HtK2yYfWj7yUCte0tKG1rcF8gAcy32YZ8SmTQO0WzchWCRMAIEgJtuW4Lew54xlEObX0UyeaEUzAOcCiy2bM56DlpEfr5z3/+oTwxes5iBzlU5pFiSjmU1dnrZTK02e/r0JQVKwCwmaP6rs9tU7uMNr/9UxbKkwhLxsBZoXd9I2SVsxLUImvty6kM8Hyqu34Xd0u/3Q+e8snhLYgRXL1io/2KCe35tPUc454varhZoTKG5znvQXSUmLll/NavuXQwXln3dcY/X1bfeJsJ34x6pZfaUHZb7u1ajnmGdbCXIa8Ko7aPtwedAVHGuj7wX5HhzaJTivi8U90LfvQZ76Usy5zjtei9wYh13PseLBtIiZc3CFNkmyzByb//+7/fauX6BXneD/hwBuib3vSmm/3PZS3KFKYfy77ommyX6VyHFt22YoF+q9qIwZ8ea+8ivsj46n2mzrcQVGVogq9DczxbEGFL2DOaKnF3L8PAAlrbdHaoqSJjYTZHz3i+gGUOU0EK/ekrQ93vMk/mhR8Z0xkFZ32Uvt5Ivrb6LPDqnvGr0jFWclzmqkCKtYPMMmrAUeCEjmxuPuEJrAW7yEt4ar85nYdmGaBwv9UpBQHKnpelB0PlnGDPMTam39oXSKAz0DWDDH7jpXSkuaE3eHPG4a0Kr4zKddRdg2t4hDdz0b5sYgZahls09lm2MV53DVzhyrMdVIgO7f3PyDQX82oPuusM1+hY4AFP+5OZKujkNzxW0l7GsaBR/GuulRZX0VWAMh2Zo14mK34us55eLMiUg6FdQY5KleHkbW9725e1jkw/siGdhUGmylYX6MGz8XIBIjQrWJdeKkteUqSKGPts8erHP/7xIwBVlhS/SWjgHc6eEl8y7nVtr3jFK44tknikTG7OE96zjsY36cdK3NsyBtYC2b7jmc1k4zfPdkYM3tFn2c8cG9ezAwosaNNe9GQg2dXf+9///iOhhX97dpesdOtm0/XDQUID/+xs9ijdVWKpV69lC4AXTl3nRKe/4BR93ANDTrzv+oOjDUBzEtm8lfNzYsFjTatKAPwFAegLcwAv2LS31hmXrKVL0o+udcYAGNhQVfd4Rr/642PgA/SCRzSqUs3498vqr6MMp4It9FOOKn2Zo0+3+V0wx1jgL/DT+tp946IF/tJWnxx13wsukQHzgj8OekGjEjUFHm1h8OeQ2HQw/gBryTe/224FTrQyFvyip0+6q7NuCizjP9+zd30vSIFe6JnfAz74jj7xkfl02jxev75m7QENzUvNUq7KyXMEcpq0F3nENBgrp811xMoZOve7zoxny9BsmbLolVMXKQAwiJQRSIwreki5EtxK/nKMCE4LeM4JuPWxzqlrMX4GTEZzRp/7O6d1uIuq61NfKcGMkRTD2UkHv6iRQ+IoRnPy/GaG1mnaDGjOY+U4ImJl9TNY4cT8c8rXuUpZwnlObWX32lmcOnDu7Gh/PhaCi3MGXfs1qrfcvWDA2cltryW85LBsVQRcum4svEUxlIGBvw6MW/6sLLbMX2W4ywtb/t13i1N8lFOBTuuolwWNby30eyaA586VA5TiP/3TP93567/+65vy3PAQH+D5Dk5p/u6hbfstOzTRJ3y0XcHnOTBVHxnZBUt2US9bix/Qcw+9i7bxNjqYl36vDvq9Evc3vvGNN+XiaIon8YQFr9NS4SwDzr3Ky1v8yw5UoVEVhesFrKrmwMP2V+aokxuLYXTx3lttCnwVIEW79nXqy9g+y84GQ85PgUt95dStjsxxzeEkc8aqVNocyz7Di9/B4pNMe8Y//s2p7nVCPZOOzICvPHN1pLmBVymntSlDAE78V+XCyCxDD2do0d5Fz7u28zUG+cmoSb8FezgrUOp+zjy8GDvnuhLRgh1lsOKFzdakG8p2ZAyCtUC058vmFSzXDg/pkyyXSQd/e/SDNZ4xvzLxZYP1C079wF1Zcv2ZT8Gh1p+cD/BW5tra7BOew2s405fv4ABD73kXoKHzgrN5gknAiiFdxju6W7c6CNG8kz3zLkBQieauaeao3+SuyrgyU9pWCZKOhMfwmuNU3+DRzv/VQb9b4s6ey+4qAUE2JGbwEYeqrQHwTUbhWNuzfuysFdezLayZeFSfrrGPXv7ylx+OCafMlkJ0xQvsr1/6pV86tkugPTriXfyvjw5nxUPGwJd4KXuzwFRBNGNySgsSZhPqmxNId1X1kq7rXBtjtL3CvNs73355sux5fSZXXoHmHKPsbny69vk5iB+v57R/x3d8x/GucEmuyryzBa0pcMbOZocXTCFv2WD6Zx8VlEA3c2Cn9/oz+NDnyvsl/dhaQR9XNQNv5N28NsPvOpjwytrMVRC6Dn/gKMhSsJhd1WFp+IGe6MwL9AeHgEdnGwRrPIsfPYdXe3VdvNkajJbmCx/WL8HGkmx4hf4EQ6X4YPDX2u5ZgaZ0o88NRGSDOUSTHanPgkjJlGeUtcuKw5H5W6fMxxsyVOOheaXu5ESws+oP42+QCXz5Dp2j0FYS8pm9XXCL/IAZncwLDJW0V+aOp/GSZ68O+ufzrh7n3jroGKET1wkTZkKMyvQIMObDNEX8c9IweZmJPhs6BZmhhTlE6yoj0c5Yoq8YxXivfOUrj9clYBT3iiZpS3GAIeZ37VyKvgZUxoVPDFSWKQc+Z6R+CjCsk9ciQam2cK8jWukH/IjeynBRJvu3CidhO5OHwmLANLfdz014ynS3D1+flfGAJwNvX89mjF6bkREVLtDP3DqA5xyE8Xsd9OA9O/gFNMJT7TZq7HvOxGbQOaUUZ9n4YPNpPjnp7TUPj2iRk52SLGhE0VUZAYcZoPosWh2d8WdBqAzeLXFfGoEh4xbey9LXhtzYG/e+973vwGvVJd13Lec7x7jFvnJ3Sh8+8WXZN23OMPXcOuw5Kl1b570oP7xsVQLYKkUMTvSBn6uD/tjXrMFrixZab4bcgoU3WnDLqmYApDPRtdLbFr+ck/DvNxrFP/QLvsHz7lmclbeTc5F0Y/kv61pgp3JK4+CpMjotyMlDi7R2Zx1pXaiU0XfwFzAqg76GdBH6AqDhwZxzKgUbcrrWoUqPgueSjswYq0/rUxUDOdn6Y5CgkzHh3XzbhkJPur7OwQZ5C/pVLpozj97wXdA0BxpewVo5fesNHJG/5LRsd9m5dFZbYMBIn6S3tC9bzchiUJeVNkaVNBmT8O15Olaf4ANzB8DmpIavghbwgy/K4AdXazo49F35ZgHvSnnPa9iWgLfVDY5y0NEHrejJ3mldxqkAF9rAcw4ZGHOKPc/Ibt8rPFQqvHoeXMneZkrNpcoX/J5dUtYJLtCgPa05T2wR/RSY6W001z3odx10GXR/nGJ4dc4QeYFLuHMdD7OL0oF4iJygR/qh/f4+04/oWzY9HcEZQd+q2ehfyRHtOCi/9mu/dhyKxtmNvzkSeIyDjn776jTrcXuhcy6MlTNToCneKxBXVrGkA74lp+bc+mAe2TcOPWPzgLOy4IK9ZMy8VWCyIemxKobgNt3ke7pl5a+AL5z0ZhA2Eh5PP3DclM3L1FbNlN0Ib/7NjRNfhhYO2GgFCtJpxinoJuAGr50PAXfoX1CETRH8YEkvpSfhS/+trwWLS4rAS+83N0+46WT9r/7qrz70CZjjmUrpwW3OcIAHOfdVhqFFTnZrYtUGcGMtM3c09xvP6B+9wIq+bKcqNOsbnNqXyCtA6RPtq0qgw/xuGxq48JlgEx4wZ3wCx9HCmJWRwylagFE7ODdHsoi3wAYP+tQmBzye2eRVMKZntXetJJRnyW9vFeLDbfYcnrPNwaRyAu9d34N+XiGfwO8tT7r0fvG6quQVoQkGhirKqM066js8wZDpOO9p3hLPooEZX5T9r/7qr94cRpHA6SMhqyyvcr0UVmOfSya39FmbGHMNqC0Zbq/l9p9R2hiVtPuNUfVJuf3DP/zDUepTFPB+zvglMlFGBCFnTRu/CTqFax7hK3hy+OCEcJ73kIqiokF7p/VZqbvvLXAtRGVb3SsIcabfJdhz9s+OpPdzUoQUyDr8GZ9VA2Sobt9nRzKHooh7uN9nWuzKfrT3Cn2ie9n5KiAqp9ePBXEXkvBVNq3ATfySAqMM8RMjwUnu/WXgnYMXxiyDVdvoTmmX0Ws7SHg94xf+9lCwMukbYNJ/WdT2Np1Pz23uORJk7VOf+tSXdfkmnKQjX/WqVx1GVsZ+C1oLZDzpt4W3qHYOWdnseCu9ZqHrxN36jqfwsPErDy8jjdde8pKX3JQQ4jvPGhN99UnejVnAtEyqcTOIM4Kivd+V8SYrZZharOOrsor4LVmuggUsVQolN2WhyANDJse/IILr4eR+Sxi44SCnm35IdhkkGZzmSneBjT6ztvlNZhlxvme0+pSRYLxXFZCTmq41jmvG9lnQ2jhll1xf2vq9Y1SpoE80qQxWO2W6nTTdmrTbItrDZ/xolu7I4YYz18qI+V2mZr+H4zJbnjE/uCmD7ru5FKzRp2t0j/bp6g0sFXTStsx0z8TPaNG+S4cHcRLS4eCCmwI38Yd+m0dZa3yWIY9uBTLB35gFBfQPf7slzzgF6ltTWsPxQA5a731uLdEWj2kDPtd/8zd/88taR6Yfld6ibdsksnvSBdmQrgswdmhXWzD6LIsYn5INDks4L6iSM1NAa/WtMf/gD/7g0Nccx6pZtAUvh46tBtaqydC/jDkY00vpgjLonaXjfkE0342Pv0uqFMDZarWys1Uheb4sJD7n/HC6/viP//jQR5wefaf3HkQ/koW2CKg0Miewc5gEJNzD/xxpMmE8jjV7Fcw5dwX7zf87v/M7D7umgIJr9Dn86j+ZzpHUruy87zmQZ/1YJr3PknY5t+Ztzk7jL6MMX5XEp1PRkhOd3gFfDu1WAaUfq8xpzS6bnp7JAe/1adbTrezsjAHXrcWe91kyCc2rQitJQk/HwwVae6Y11zysVYIzH/7wh28qV+FNf54rkFByzj1jgN0nWOhVwU/ztK6gD1zlS+DR3S6K16yL/qokMvd4uaAYuuB/fGIs/ob2ZLk2JRGzO257kucpsQf9BS94wSFEl7LHGUsEGROU/YzA52x67cuq5txtBp0gl+Vrsbco6lN06Od+7uce895BY+TI5YBgnnOmEPNWll4JjH4T5AzRsud+tyCvk3R2DFsEErYc5nXwwOe68hSCVwZ9M+f3Mzz3ek76HqCXwoX/Iopboi0iR1By4PVnDpWJUnyVljdWWfaCGecARJn1DJyeq/zsUpn8OqFlz1tw0UsE7pyVR6+yWmf8GCNeSYnVJgephXIXr92vXXu0smhYULYyIeORsg7mSpkyFnNo9NV8fK/yoD5c++hHP3rjoEf7HG98YVH028KFX6PRltILbFVmtsGvDZTswg/utlNs0Ak8ZGSVcUZseGmx7XdyCp/XU9zvOeivf/3rD6O8QEeON7ylOysjx+PwWKYIDcpIZhTAb87lbvnIsNXeoof39O+7PukVfPBt3/Ztx+/ee4qn2g7hWbpo91m2iHt2y9LJLNnQV/xKJtOROSJlKZuv5zZQZs4FEjIeGJzn7Sx0GWOR0VhZ9YM45zmgOfx+t5euObkXzl3LEAKXdct44A7OdF7ZBfiDZ//mlowV/KiMOl1D99BdZZ8zpDr/o+xQRlRZ/so6yW0l5s2HXihLo30Za7CV1cgYc18frmtHR2YoNYfWvPRnNK7UHq0zZrXpNPzoC9aMwqqNfHquAEaOekGonGpjp/OiC0PQHDnoDMeMZXCVIYN3PMqJWDsBHP6Nj49a48GfDk6PtgamM+Gp4GPBFM8X0CjgBI7sIN8z3oOjQJdPsLzlLW+5OuhPe9rxOjP4wjfpnpxbfIFX6C709omfN4iI3lvxg8ez+aLblpy3LQQNq7LkvLWVhYNuTGNoo/8OE9MeD3Lqkim0LEAZ/xmvbTS+l8Qoe15wx3zbT+5aa3eOYnKABwsc0dslVMgu/akPsBbgZy/BV4G5x7MfCwqSDbgU3Khsnd3RmlQVKAfenM1LxUP7wKtqII+taRwvgdWcQGOx1c0HPvVdGXX6Ee4kh8BfiTseaZtfWfSCjOYOtvRjeM7mlbhQMg1X6FVVi3E5t1tuX4ABDOn8DgSEx9ZWn1UetfamizmuHbpWUEDlRiXe0beqKjAFP3z7ri3cgKcAQkEs46AxnYjH0YHT7/W2HPTOTDEO/rU9QaVxGX3Od/M098aCY046vOu7YDk+222z7OF9G0FvIagSY4NecFEFEbu84EXrTHaq3xscvTrojye1n+f+eQ86ZkYknxEPsssWbvmK7/7PJe9nx/w8/CXnfJ2o5zznOXde+tKXHn1jBASv9Bpjr4OeA1KJe2N/PpRkfII7ZysHJgd/HbF1vs4BAdGkDCJ9UHBOqPUakA4DueSgt3Cd77WQUbBb5p7CTfnDS46pvjqA6DzvFhTXKQl4AnPlVhkiOcL7fMbrOXsersyP8MPJOq36yAEOdxk52lEIFs11GuE9p7VX72yQZCsgUv4tosaLPzLOwEwZ9tzOq8xgWbWyQnAVfVsQivhSnmWuCygVITxn/v/8z//8ePej/sqet5C3hSF48EswlxGLp83fAgaX7cGKFpWYBe9uJaBc4QP9uh+uLTLL98Yyx6Kr9EG86fOaQb/noL/61a8+ZN3CW9YOfSxUVf+416EsZAvfVNGCT/Be+ivnJocwnsh5yICIhjkLsirGZXzRMxkVOVHpV3AU2NNXzmlZ4rIF0XuDlqsj64/uKHNtHuZcECE5r3qlTLM558DmROJnhl7Oqv5z0NOlOePJTTK/n9pm2FYdU4WB6675jadrZ+wyG8Yv859DHBxoag0saFE2fh1kz9AvZLIMl3H8J29w3UFYyVm8QsfkEDQv44MxXb1Z9JwMvIf+OefauJfRV2Zen62XaNxZAhlPrZXpv5z0gpFVHsBF9E6naYtuG/jOkK+cEu0yDHMw8APD0f5YZbYyd/FQ1QbgLmgAZ+lHuAmHxq0cHg0KgIW36FEbsKQjwQd+tPEsmPASPom+8abn4o2M793i4JqTwqtw+AJMsafso9mQDnKDK05nZdy2KaoOwpP4z5qb04keHHX6DB7xU2XD5K0g+yX9uM55dE1XCP4973nPO15VZS86GcA3ZezZVZ7nIHN0Wm87BAy/b6Bg18OIlONYtlH/OaDZojlk4C9w5jt4qw7BbxxYnwX5jCeDTrf7K+FUQiIYShat865NgWD4M1fyw96zNnUAXHYIu6KDgNlk9MpmftPxyQDY9IeG5BgM8KsPY6SDWlsKbsBJlU/mTof5Y4v2lqfWHH0ap+0HlbHHB1Uh6KNX0oKZXBsf3vAd2NPh9EF7v42ZY+1+erhX8RWk9YnO8Fb7bDTPgMs4eLhtNvBawLFsejZ4b+wgL+ekWIEFbQU93vnOdx4BzErss/fglS7ufID4Dk3yJdKj8AsG/RUsKOhlHmf7NZu9bXLw0ev44L7D9bIvsy3qC/7JE7rEq/B+fc3aF6DaU65ODUTYyhfbi56w5pjnvPtdpIRi6xUK63Cuc5iDWGYyhywDaZVODrprDL8WaONw3sCYQVhAQVt9Z8ymdHNA/c6hPZdQNXYLb45NTs46NL5jUMKm72DLIKNsHRDWIWDhIyV/P1It3lKeneaOyXe/fU4nONdxzUlN+OEjRxPuCDMjqhKtcKL9/Rx0bbY03u91rC89l/OfM+6ZhB8c4GxRiP4pC23NFw7OGfpwXRTa3HcPTfzis+vLV+DKeep6e4eWVzP2WkjLPK1CW6dogwAWjL/8y788XpGyDrrvnt/zBYoCVxpftmwddrRBe5HjMlbBvllz33sdW1lU7eJh3zdyWh8bMaZwzR1/mBNZv+3Rzy9A9T3wo+nIN7/5zTd7wvEt2cI/9CD51Q7fwT+nrPMzcmrRuWxI8r5ZufgXnbWrHC4ZyWHPQbd1pGBX2Um/q9CI3nQ5ebNoZsxuxhPMeC4nbw+T20BiMOWEg1dbvJJD4166GSzto8f/FnD6Wj8cNLydc6Wvx9ORBfkqV4W75KqSQ2PnIPquTdk1c3Qt5z0nLmewbVPmgoY5g/Bj7AIJ4S4HPdrnnGdoe6Y11b3WDtcy8PXd64XIeYamMaID3Lhu/LJXzQ09W0tz9rXXFv+4H319B1MBdb8ZzhmfrrddyjM5ANqgkzmUuU9fpis3CFWmcXVklVVojydk6+irsjzRNgej6pRgXSfd3DJCC1i6tm/WCNdnHcl4LKtVGWoOlbm0FzR4Wo+yX8Bu7mjmeXbQ29/+9quD/rSnHSdPF6hAH45BASZ0ZRuhv0/lt4J0ZV7hk05IngvUbVYODdAKna1VOTrZPWXyZMm/+Zu/+XDQtUEjso2+ggWyxpX66tNv/AhGfSf3fhu/fbv4uQxxTl1BTfIJ9jK0BdQ7twKM8RtYyBY89J5xY3aCvD7e85733LwrvQRA8ni/hSv5zH4iy2weMMNDZzehiTn12VkL7Dw6G54KUGhXaX+vuNUX2I0HJ9mAxiJvqx/pe3ThxFZdBE/Wo9Yzz+GDKmPMk71TdYz1Di1klvUBP+S0A6yr7AJz+7ALRuegt32iIE0ZYHNHlyo1wKRv9Izuxi4wIfgEHs+kN/NL6Kza+g7WMvfZ3PCTXi64iaezmeHG9Xe/+92HD1FGG0305z56VLaPFvCFzwr8VikEvnQxPpN9bz0oqAsPngWv74IbbJcOy4MHfIF3fI9uqx9bk3xy0PVli28HQ/7P//zPrdaPT7kSd4yACdb5y8AnaBDffiIERzQLZUxySYEUSfdJKC456AhsTIcfPfe5z73JoOuPwPnvUIp1sHzPEfW9/XS12XsZNudMuLYd3FBkqOc3q9NiUGn7GpbmryRYCQ5llqLaiKT2RRJ7NqFsPL8JVE658eGl33uYmmfK8oLNglKQxb2MkRaSlGNOZ8pRu573XAZVTkLzdm8d9PC9EUHXUgTLC3uo3qUMeguLZ4o+UnjoF7zwUDXH2TnPwdkxC8ZUcnrpmY3Ab4CneWzpeYtlBgK4OrwuebG4/uu//usBRouHfik5bdpn1StDcvwL6niuKHJzwUPGsXDFn+E8ehTQONOnErfN9G/FQ/wTzaOTeV8d9HsZdK9ZyyGp0gbuiijDKR6mByxUdKJ2eHmzuBbOsrurW/SVMx6fo1lBgA2IWkT9Myz1lY4hpzl6FmzyA46yqeDLEU+mwbMZI+3BksGbQ0x3kFvyUglkmd/aw0/7l3OAwZaDqR3dWNATD1cxkMGD53smHanfdJh25lb5vvHAnDPudxkNsG+m3z2wm0Nlh+Ze5Qh8V7YeLcgVeAo4lmVPb7R3u7VlHXQw56TDZxldn+DNES3jQHbLJMY/Bfo8U5BFv2Xvjbul9zml5lIGOnkvgLIB4TLhcMZRqgqhzFxjNn7GWdkk4+QobzluW6HSke239Aokmc0CWRmWGeStm+ZX1qb1oGqMslTpSbQKD9ZO9/ULd+AsC5fu3K0M2Rf6Sqe6lr7cbFDBnuAwt6uDfveQuG//9m8/dEbOkGRKh6R1cCE5c6o7B72ycPRi0MM/Bxrd4t3Vj3i4TCz9WlCuyhBt6TT8Y8/y93zP9xzZO/ZmcoAHraFkJH6u4iSnx/PW6hIT6O9eWWHjpr/xVmXAeE35cZVv+kk/ViUCDv36bNtk+iT98uijjx44isdWZ8CNP2OtDVvQKn0JFxzathHljPcaMPfSf6unewvElpmjIzk0V+PSE+iVnRE+2ZK9As+8O/OhvfgFPddBT5fjgQKQnSdBpxkrvW9ugi/wpG3u4TYDAAAgAElEQVSHoBUYZa/AFdjLwBeUBVtbdHuLRMlCcOUjoEVBuvUfzEdGv4Py0vnauEc/Re/0JhjS0wXL6Q+8V38cYXB1gKIxVKV6A4FX9ZZgTA7CNRygi7MczLlXfzpvIUcefVe3ggtuv+IrvuLgi03Ith3X+OF5ZQ8v0vGbjMpeLKhqrvr1HFs2Hr866OuRPMHvW54E4UWhMazvGDYm6TUMhnCtrHr3MRrGpfDKomSIZHQRzktlxzkl2v/8z//8cbJifRTZzijL6fQMOM2h7F+L7I67WfTKaPSpnyJbZVdXAeo/wy/nb6OYZdEJYrj45Cc/eRzwUEXBkmOzlfs9pRqOfDK+LVK9N7sIXyVZ5/3mhAFeKcgUY2PDeQYceuoLrfwReMIHF2VFOknY/YTM98oH6/e8Tx9saJZznhFucSigQflQKvB6diT1Cy79EnYKqAUuZWGOFOg5SOHZKiTOFQ/uraOeQQbOPRyuBW+3SaDBZvf3e/gp2xRNctBzzo1T2b7nGSf+8G0VBX5rv69fu5RRzLAuQt+BLxmTYDkfEtji4/r9nPStStFHAbirg37PQf+Jn/iJQ8+UFcYvRdLRGN91eEqGTO8nby9052FkdOgjBzVeL3OzQZrK+zzPCFTC6TnyUrCTfPqeA52BCeaMkAwi4xZdb7yyqTlsxjTXTt/ttSpgz2n3bNl7vFkAICMBj5NL9/CUPcd0JTjBsg5RerBM0OrIMhPpHmN2+GP7Ka1PZbzcJ1twgRaeT0dqR0eaQ0Z69wr+gS8njg72DBnRnn6gf8wNjgqsFOgKr+7hjwwln+nW8NO+fX2W/aEflOkujZJ7fXZqe6WrxoP3HGdwdsBPBlqGZMHO1XGehx+6QT8ZuGV6zLMqg5yJzg7Q3rWceuPkHDcmuApewd8znvGMm8BfGbbWY2Pqu3ca01l+44V0cZUq23+Z/WTAnPBCwQXPlrHLnti1OR3Z9o/ueS7eq3Kr9QRcePrhhx++1RmineeX4ns2ZK/F9YkOdAfZgXc8pZ0seU42WeBQFLx23frnE93JIDnJYUcHvOZaAZtdI3Ou0F4wldPTOS9oR57LwHNUjQU2ziFHqSxhpdLaxkNlXMFQ0AHcvcrK2PYm79spCiK1PU6breLxPMeo0mvf2VC2SHLQwbSBdLTLWY/fs1n6nQ0Jd+DxJyAGJ5xqOFe14n56sLJ08IIFjcpgpx/BUSKCLuDIy2DDn9cC01fw6LexjFGVLf2bc66/gtXadtJ6gVR2P70Nps7IyOZrz7PXi37iE584dFXBjnSvPvGUfuEaDtKP6S7zQCe26K6xcGj+JY+yb/EiPmutR3NttcPXPuPH6NG6B0a4K3OOHm0dTRZbe/C55xxg+NrXvvbOf/zHfxy8XiYeTqt0+/qv//pDLtAwv6t1rrWjtbh1oWCx32itve+7Rx8+2rKwuqLzrnq7T/fiHfiBg2xPNMMj9Cl7/zZvAXpKZNB7D3qR8Jy2HHZKyT+lFeJbINdowmD+Eaq+Mi7KHF9y0jOWGE4/9VM/dQjKKid96ZOQuJejvPs5yhxvFhRTYvCc9D63hA/8Wwq82aBK6epzAw9b+o0Btf2zP/uzQ7lmbKYwn8jCSJiNlxNKIejfwuev6+f99hRKAYbGK3NsTpWoWDByBnpf4x44t0ZzixU85lSXGTk76J5L+RRdA8fuR6dg4Boty9Su0xjc2uXUlh0Ec5kxz6BhGfF1yhuz/qNZ/LR81XNwvoEcfVR2lWG4NITDPSgmOCxK733ve4/MZg56RqsxKnHnqPgrsgpWCxCFm0FaBki7/R5PpWSj11Z+nF+z90T4Lzm6lrjfxVoGKL0UT5AHehDOK13EDxYpuinHIrxbCMt6oO8aVOnFMnUZnZULRu+MG+N+0zd907Ew5/yRbzCRLTCCK4eP7ihTW0ax7HhweL6yaJ+bFTZ+zuIGVzOYy3iWyc9BDXeVf/qN70XUtcGjGU2b0T3zarqq60XszR2sBewYXYzEyknJHznNycq4rrKgQANcdViVOcBX2aIqVyrXL6udMwsmcwkvnuugtYyS1jbjhguynvHvfvscwZxDWMVEfBN/hAd8aS1oPlUgtPXK8znPYAR72Rt9tTY0DjjSxRl7Wybp2QzN+EZ7fIZ/erbqh/bnZuS3RYBNwfjUvqqwsvE7xw5nylEqgGQ88FWVh2bmUDl1+F7jOx1a8Kl1NJwZN352L6N2ea42rlU9ISD+jne841YboE9E9z+ZtulHb4uhJ7Iveud0r2PifLJlyCdn9PwKqjKPlTDrF9/ire5lh/kkM+mGHEMy59rv/M7v3NCzYCK+0Te+YkuBw3Mc4ZyvPtOT+sJXfuekV/pcSXX62djZZjmMnjOHspUFKsEPLhUDOWH0GP2lIoOTXNAofXc/2lzSj1UxCHSZp73SHFfZU3JUBj1nON7WvoqrZNK1DvcjP7YmFGSBv16txuGFK3PdQ9DMi8zrDw3YSNYB+rrX2iWz5Ap+e495uhC8vuMt8HWmgQA4/KXXNuvrHgc9vWsMOh+NSlZ4rnUvPg4XvV1Fn+5V4WMedGztCmTSZRvIqX1blbKr8IA+wWf+6fxsW/2+7nWvO/CTziyIT2fS23BE3gpS0IF0EdugJE8yYY6+b1A1nYwPW/sLIBsLDOja9+iwgZDlu+7Ho+l1ZxU4a+TqoD8ZzTrGp/1DGCSnuu4qfcgZxKiUSAvpWTmUuehwpDIlGWA5FTkcGLAxMQOGtXeoCGzOFEYk2B3wkWNViVGl3WU0zllz8yk7QmAwmr63dLv7W969DmclSQUHygqXQe+AOCXutdlgQY5muP18Rqk2FKN55aATfoJZOQunuiya9utYZ7DnRJsHgYcXkc/9u+Skn9lJ37tvHD0I/tlZN6cisfqoPLxstfE7wbUslT4y7soGNr75Ziz12cIVb+AFSquxPLvbM8qsgwG+fBaAapzNpKOdcVs4FxcZ/HvtHGD4mZ/5mQPXVSREG/CiXWcLVCafY82gEf0ES3JzpkMGd2Ve7vd8TnmBLPc66Gm3ZJz7XFnSfw4WXF0PibvnoHuzBPrlCOBH/4ysFsP0hcWd7K/856Tn9NCdW74Xf7eAV72Dvyo7L7r//Oc//3B08UF8WgAOf5UlrGwwuSqrY6xKRvFDspSDj2/wr/Z4pzLrFvn6rWrEc5XlFwzICC1bbL54VCZHn2XWVw9e0pGtMbvWkFF8mlHTwX1ku4zEHvS2ewAzJqomqFzfZwa8T3M3B2tRskpXlXFOxwd/meuMmCoEwGh8/aNDz9FZYEk24bTKgCqcjJ/hWDCjtbiMSNlt46FrBnKGaYZxlQbNPyM6WlRxAD54hD/zLWCUIer5ghLda04ZghsI0L5sDVgZlr//+79/OFhVSVVmuxnC9GbVY+jhu3+8s/o12VknukBB+q11okCXPoxrntbSHLbkevVkfcSDyabrv/Vbv3WrDdAnaRo+8GPxpyQPeqJPayJcKtX1WVCbHWc/7DreBtOmQCB5QQ99VwVSZQ39gvb41jhVUaI3G4wcdcgaxxAvJjsC55zztrH4rMLPd3KeQ7z71Ftjq0xp326ZwhIgZEjbqlA6s8l86D7wgac1BE56VhtwfuADHzheK2cerRkRI526vy/pR3xtDFUEZfc51vABNuuTOZRhZnf4C+7se3xONipfdvgfGlt74F7f5InDbW0yXg5na1tOs77L7mrj3zX9da5KwUb0lcUHR4kWeM2ekZUtsy2pwVbGF9qXbCuDXIVC1T7GbW96utMY+AK/pR97zry0Z/+CIbit+2XT4a5Muuetk1UHoe/qx86vWKe2rTNojibf8A3fcJN8qp02+tJvCVP0FMwwfzgT2LGPPFlJP69+zEcyVrzYtuMqJ+CUn+d5/YOp18mZ69l3yQ5ovM5zATtevjroD6xOH9sw5ZpTXFSd8K7z7KmUTU47IvorMoRxypxX6r77HHPegmAX2ErTlMv8wi/8wk15u7YxPGWRg+56DjVFkcFIgWmH4XJUKrvIcKqMw+Ka4ASTPs1jM7LmUIneGrKeaW80fNnvZO8xA7SsWAy7DO1ahuh+LmXKohOYMtA5Y5vFojwzYHKg4UK0evd8V2LrmjlmAOrTAhet9bcl7nDpN3xcKtsP5gIBZdF3LinMPimyxq/M3UEtW/KeQ3HO0me05fhQVGXICwI0dg45HFOYe1Dd4hQPFNyIHzrvIEOjAECld37DY3ukeg4f/Pqv//phkK9DAYYtdbeQteiTwd4HrHSLfJ2zP80JnOSmgFS80H6qjP110s+VAQ+iKjyjj+tr1h67Bx3uLNzknrEW/+FHdCkqblHDO5W4twCTyyok9FXmYDPb9FSZvRZai6q2gmv4SIk7I6UKH+18T0fmWJYJz9kuI+V6uh7vJHueMzZjhgNXpD0jEszkOP5PDhsHz+NN7cFSBgnM8OFZOsgY7e0+G3LmmrN51pVrjK5cGwde4aDASL/pc/MDMx1pPO0Zhh3Q5rn2qtI9/jyTfq46IF1LJ6ZfK5v1XI69/ltvonPbSDK6V8ZzkitbL1MEb76DWYaK7gwHaKkv9ItOGXNlHKNjQXDziP/gtnUNrPGEPoyT7vVb/wVeGoveglMwVBoPpvBexV2OsH7wFGPSQarwb4yc6g0ctF+94BS60ZF4yxYy8KJXwax0WpkmfRXMRAvzrxIqewBeM9B9ZqvkUOTUbVYue6RALzivDvrdPeg//dM/feCQzcI2zCGE7/Sj7TnKmFUZogeHDy3ZJ/As04v30KuKPXTaYB8eSD/mlHm2IKa+/uiP/uhGP6ZLcvhz0PEx+oEd/ffcD3LOic1R6ZDNqnHwuXWAzNAdqx/1SVb1kW1sTsmBT/OxfvikR8xJ+89+9rN3bJNkA7SNrarIzV6CPccv3CTz8aixPQun2XB+k9mScfpRAm+94mxy8OALjIIoHGd/5LtKCPODa/eSfbJIV1nv2Db+O6mdnuh92bKpVQSd9WOv5IQLuqPKrJzfToS3hrJF9a9t++OVfQdv6xT+KMCQnjE/eqh1poP6soWroNJ+KzbRCQ48jz5tP9UOPqq+KEBhLSALVVt5Fi7gSPvektW80QLN6J3v+77vO+ZflVUBE30VSHj6059+88YPmepnP/vZh472ekGwbpBs9WOOPnoVlAIzfvNfMJstWxUTmUJ3f6sfW5/XpnQNvJ6Bg6uD/iAW933arIOe81mGdU9F1a7IPUIhMuS75h6ibMl1ZSgZjQ3fonmOwBBWC/t3f/d3H69Y80cJ5nS16BM2jJcRtdPavUGYfbNXZyclJ71FeTOM2m6JdmOcHXp9ZPhg5r/92789FGwGQOOfnXP9XcqeX3IwCXGHiqUoU7CuE7D295hLQZIWBs/kjIKL0BPeDPKETT+UwSWHWB/tP8pA9YkGaA/v0cTCVHlLGe0M+gI6jQ134Wqz6OG77HkLTlHo4DmXtS8vbAY9HFQaCQdb5h6vLI+gXdF5z6NN71NtYdGHZwsmdA6BYNelvYxnJz0FDx5Kl1L+4Ac/eJwCv9UAyy8t2vEWmMucl8HTfue3eGHkMpz2Dx7jF7D0/eqg38VSOvKNb3zjzWnWoudoUJl2+gsu8W0HY/UKNrjMmMlA0zcZwBc5qRvUSd6jv3YyEIJZspCMkcp/yzJVOl4mwbMtmFWG5KSXYW3Mdd6M5X6GnPkVCNO+oCi4e77sbdVRnmnOcEJfMSTgAg70UQAiZyh4zzqyMdKR5lQWJifLPfAUUE2GM379do/RUaYtQz99sdlWMljAIh0BTv1VHr9GJEMLr6BJQRzP5Qiak/GtYWD2rLZwlJOfgw+OjMhKu5PLDVI095x9z7e/nq6o+mGd4BzhstwFmePbDP6cH3A3f3PXZ/2l0woE9KqigkxonI7MYfjKr/zKI8NpraiKQH85HAV5OrCKjHTC9cte9rLjDRmq1Bjqu84lLwXr9QOP5tO5Ee6BseqG6J8+9Jt80ZG7RkcP1/BdwV9r6dve9rZbnSF6jLL/EvzYLUB4Fh0Z5T45Zj79w7u2m/WDZzJRcgFvVQGE7vCbnGQHoEEO8WYI0Zm+csaBc4xUsWWvdKaKsWQDq0xZ/agvslmwkfznkGtXaXvOEvhyGsFjbjl94Fje9rx7xk//esbcjFO5vMDCv/3bvx3yVVDV93W+SwasfZtOKOhqLgUr2Rb4vkPw4IJ+CkbPtN+dnClt7jWi6fe2GxZU0K6Mf/oBfoyTU5dOikbkimOL1hzXDpcuCALX6O31oVWHoh+84R1ZegEdePGb7JPFXptG/55x0uF+ZdOtn3jSb/0ZD+4v6ce2UJRMom9aN4wLf+E932dL3PEpHYrfq0AwPnxUyVZVVckeOBFQsZ3OHKN7OrGgKmcfbjpfAIwCKs4/es1rXnPHq347+yCRz87YbRjmAY90ccEb/p/xNrBaH67L7v/Lv/zLjaPuXjxVBVUJQbS5vmbtC1C6KVcHIJ2NegyCuXI8LmXUY1AMsuUNLfIYl1LqXoZX0Z2ul0H68R//8TvepwkWigzDp6gx0O6V3mmfF+rugSPHq88tjc7wrESj5y456BROhrTvlViBj+H54Q9/+OL7zy9FmRrn7JTvnDhwlUPv9Q6KK1MFv33f7LpnCHEnnoKdgskgq8+c84INZxyXFd89956lTBL6Stv22cp9WzQazzgZopfK3Gu3+9DXCQAv3lhnMpr2WXVGc80panFbXk6pZ9AbPyOsrFf8mDIqGxOfuw4mC9vrX//6mzKrAkkZe/gZPio18xxF75+DzmCx/2irCcKHMSttL/vunrlU9n+WCfeKfLqXDFQSLJvlfs5X+ONE4c1rifs9B93JqvBXuTeaVka9mfICNnBZ8Ayf9MoUz5EB+PWHj7csMB2TTvSbnvJbYEApadl5Oqhsg+856GQnXs/4yNjMYXdd32ADS85+Dm6wua8dmMl0GfYc1QzW2qfjXS8QWuWHElPX8Gt744LjUtBSX8G2wYucr/b/gzGd4JPehIP6zEmGRzRMl6cT6dq2PnmuIF6lgWXE0bPsWdULOXvo4H4ZoqV5dKEzcxbB0NzAW7lrjjE49Kl/fBa/7Fpq/WaEZgznfMO3/sDoOffLPOY0g9M805HwAuZ4ERytCQUl4TM+wi/pTLDq37Nl493rPx6mh60VgpCMdMYi3MRDvhe40Y/vxgkOAXw4/sM//MObDDwead7Ry2fwFIhafo2XXDNPOjC84vEqGSofdT9d3vzbBnJ10O9m0CVWqvzDJ/4Z+4LCHQZn7dvtM+7ncHNeeq4yYLRDf/855VW1xKcF0XLQOTecPHoMr1jj2vucg77JlvRj5e0btMkhAndbPnpPOr6rSkj/YCaL6cd10EuEGDd70NzIXkkRuuFd73rX4YSaS8EO8OVsXzL1Pc/RPOtH+OFsg6MS5tYajl1rELyy8bUjCx14llMrWy0g3KFvHOr2cCdvYED7zkXR/zrocMuBFlROJ6CjiooqXFRWsKMrkzd+J64LMpDFdALYwdW8rItw35oZnqzL+m0u0doc0+Vt4ykDXvC0IFwOOputILZ+2lphrLU7Pe8+3YyGbY/SHv8VrKJ7qixLR2WLSvIUoPRMAUzt8gnA47/KEbr1t3/7t4/KEXoynbz6ke6qAnMPSgVL56CEI8+1rRZd4i/tyAC5VgnjXIO2rWVj+mxL8jWDfklqH/BaDro96Ftyfn58HdgOaOhd6TnwOSmV/q3B1Z5eDJhQY+SMkpzwH/qhHzoiSOtAUWr61F8O4Dkjvg5LxkAGY8bFPlPJXjCXQcfAKZANWFSevYq9zIY+MOEjjzxyU57sWlGyFpSzAQrflS9dwr0o2WbPo4m5EsaijOCoEkAb1zsBc8u6t0ogpbMZ9IISOflo0F8Gkt+XnMeEOYfRZw76uQ/Plz2PFyjX9gZt/y0WKZn2zJSlL+O1DrS250DFRlZ9p7irRKgEryxR0VBj1S8e2sBG2XXP4qsisZQjB33/ou066UWky5JZgDhetnjIErWNpH48W8XEBqOiEeV/qay9AEP9ULjrsKdQ8UaLbqWsFPK1xP2eg043rYO+zgD+qFIETvEy3uT4oR2c59zgs5xB1/Cjz95Hm76gx8qsVMKNv5TyGU8fyT1a+e7ZXq2DjpvtzLkG32bPK9FkOOYw+p4DGTwFcZIl8y/CXxa4PXqed69surUCLAwycGV85vwX6FsdWeYIHOcsUg56Bto66HBvDDgi436nI8tweY4Md9AfnMBnmYoCW+DxTH02p5y/nFzPadPakfO6mT70rGTbdbhpTYoPWpfg2rWCPa63bcvnluZXOZZjYe50VdfBkuNEtxU4KUOSbogWfoOvN2poh7cKRkbrAlWub9YxGpqrZwv2sTXKXlorGc7pxiopomvPMjJdq+ReFu6hhx46TjlG24LVBXn0F1zwC2/6hscqKcqYZX/AzVaHVM65vKgtWOB1M5v6fetb33rNoD/tacfaFW6Sm5xRNGj7D/6yXvpXpqttzjlewqM5Y2XffdKlBSrj4aph8As+Y4fZYpaDuAfFciz1j4eqdOr1e/prz202obm4Dp5suRz1rpOxAq4d+FqyxPM5a2WB2TlkJV3ROkBnq76UAcXrZFi/eDPn/Oykp6uSaePmRKWP2NLmvA5623nYDJysbG/0ST/2rnh2SK/e6gBbsPmXTNA+PQU37IucyPRbDl+2frol3VglAV4JzoKK8JK9kp5Jb+cX+E23ygKjtzmBOx7BN1WYaZdj7brf7Y8uqFmwr4Pt0o/ZRX6jLZ7VRye/V0UKzg7fMw88gDfOa4p77W1v+5UsOGfXQYFbxVPQtrUInsw3W9Uc6NaXvOQld37gB37gkJO2qGU7+zT3tnTQjf6rbKL3du+5+eOJgsf1wy/hsOc7uK4tWeIL6i++h0sHgobjxxjGt+THU+IUdwdbIXoK7Zz1DJc5qn4XobRIZihi+Ay6Mi7urYOfI6SPonLaIvK3fMu33CiEdbp6j2YOes5mzsqWtxfVzNBIKPeZnPiUqrbu6y/GXqcuxzwjRfvdf97r1daxygFvoU8RrWOun5SR7/WfoUf4KYEONSsQUQSvA45yEDIcCW/OY0Z0i2JlQzmy0aagyGbBo2X0X+e5A+I2060dAd4SbYKbYep+mXd9URhK0cyrA7gqNVvntKwfXHlOZLgxctKbTwpynfRoha/xX5mlDGR9Vc4b3cHTXp4MZfOorxSycSvjtMi+733vu1E958BLiy7+M5dOdafs4O2Hf/iH73zoQx+68/73v/8x5xQUUUejeN6Y5lj2HB7cS262wiDe7uTcHBh4yMjZMxuK9l5fs3bPQX/1q199BL/QH73wUmWN62jTP2V20UQbtHVdu6LhmKS2VRq1sGWMaZ/uo0ddZzzhV/3mmJatx5M56OA0VpmAKk8843k6IwM6XklHlm3Vtj2gYMkR02eRe2NU3p6DmYOeXIGvKittywaTD7IVXtI3YNsKgAJzGUdlzzKe6SLGRedp5JRXceJ3QQ6f5mHd6h29OXXa6bPyVuMV7CzjT/90sOZmieKBtrfAXZkaOCwIiYadNh/u9JkxnrNRcIaOkCHCG5Wtg7MT3MFg7DL6njcvGWrzRFvzycDMWa9MdA1o3zOy0yd4wfPRUp+tYfR2J+CnUzN0waRdzi9cCkxqx5FiSOeArWMRTxZwKssEh+694hWvOPbpKgW2DvRsPIe/CoCgZTxQNrasedvm0qfmBed0JNhztOAXrl0v8EH2Cope96DfzaC//OUvP7Zqca7RgN3Sd/jMIbOmwqdr+F4b2x5KwlTVg66ukRW4b5tDehNdjcNRqjwa/VSioU1VMz7dl71F6xz0zokpCYA3qx4Cl/4LqiVvrZ/m6x7+ZsM2v84lIbP1lYz7XWVeDrr2YLL2/v3f//1RgdnrIs0z2cuGyz7c6hb9d0bOPpMOtWaZMzzRedYHsoD/PWf+yQlnGA7xt0pWWWpt4M8c3afHq4A0Hlqy6fQD3k5Pz2ZGo3RU2Xrz8N26yP7Tr4AduPzL2Bc88Tz9F03hnINI9xhLAMG5FPSrsnWwG7sgTf4GnPvuOXb6137t195UHnjGvAsSwC9+gav0Y/yCr+EOPdG5CoYOm9SX542lLdjpsLYyGKetQK7rJxzpi2786Ec/euAFznPO19HuOZ/o28HRcPCnf/qnd97whjcc2yXRNZ/MGG1DqIqMzqvCArz5GQUx4NEc/aERfMCdvrTJrqeHVcOQBXKEh8EFF7LsVwf9SUYjyqCLSGMEBPIe1g54qNs9cAwRKM1LB8ll0KxDnxO05cbr4GJYAo+wXh9UZr4+MJixCDWmINhgPWfRtXetBdrvHPFdhOu3yNYl1FU26l6Kpox6SrLScmWbu/98Hftz3xuVX+etTHoG6DroZbbLhtdnmfQdYwMhlT7nBGu3h8P5XRYww7aIHEXh+c2Cu3feg05A/VWmtVn3hat+zYvS3wx+WZYc/vZU7374FjltczbNtXMSiohn+GfcLy0yMLvX7zJPGVzBneMbv2XsnmlK8RcMEAG3R3L/LlVHhKeM5WD6ru/6ruM9mD/7sz97k33EM/Csbc/h3QIq0TkHm0KF7xaCZLIgGprCS8GWSqoX5muJ+z1s7B7LFi4GhEVoMzyVblbCRp91OBD+LNuAnui3W4LaypODjHbaF2xk/DBK/HFs6IstfTPmOhYZuZtFd61ybP3kFJdBT79tpU3yX0asrIR+4KLsdlmcnNj6IhuMQmNYwOFInwUiwLHO2cLlOz4NT8mI6+YbfsocZQAZs3/3CjZo7z/eznEEC11KJ2Us6z89b+5wB+6cCvfNtc+qcHICO2jT77Jvng/XZXTSa+ACD7oXEMipLqhnDYZzcOKHMlThJfqCKyORjLeXEl31nQ6Bo3WG4FUbYwQfHstwLShcpYE2+soAzJloXQnffmuLx/HuZz7zmcOg58y1/sBjf5UIw3+OjGtgI3zQVUYAACAASURBVHOC+PZB/sZv/MbBW2vAxqfJjd/JJbx0IFf0MbcORfLdcxmfxi+AH48mw36XEXzLW95yqw3QS/bNF/Na+vH7v//7D/7iWLzgBS84Sm3Tj+iw+lIlDTtT6Tta6CPa+azcFpydoo12bbPrhOz2ROMD5xK4LotInqu+yOaSkSSLORzJfY5gdgA+RedzBr3kSE462PRVkqngYskEdiy+xyt40PfO1clBMm9yAB+C8oJOnq/K45J+zFl3L93m+1Y5komqe6xD2QqcWXoGLPQG3NMl68SlX7TzHOfPXNi5ZIgeB0Pz9akvuNfe8+D3nN/GcK0Ab69Zaw96AWQO3eq08Lh6mw0Mh2DpIFY8hg5lfzmQ7akG9+pHtNCWzOsHLNq6noOd3Yl/2uKQ/NemrQr4EdwFauHAXFsnwy1a0Kue12dzKgtNt+lHgOGXf/mXD7nIiddX6yk6x6fxkE+4pavB8cpXvvLOj/zIjxw6sj3z8XMJHHgmq3Cvje+dDVF2vkCajL7ny5L7bp5gyk8Mx6vzK3Gn768O+pPUuCnXhx9++CDWOmTrpFcKYcHMWfdsWeFVDoGSUuj3Zs63XJggeF6JlP+YqOfcc/qjaBsB3czgTpvAaUt5xPgZc2cHvfIOzLhZ9BzzsgfGWkNu2zYHWUant4t8pbgyLIyTE5tw+cTc65S7liNXhqsMqz05W9mw5fwZTTnmHUalTY5uOKIQy6rBT05lB7VRIGUIzZuiypDJwc5JL6Osb+0oJbRpDmjVaZXr6Hs+Y31pl2JzbR30AgK13QAH5bfZ87MINL8y6ps93z3b7XPMIUh5+W2eHZCX89844Q1vVXbFWBMx9VyydMlBL9tW5D1e8Jvz95//+Z83jknRa/2YU7y89IWHyv4p+/YXNSd8uNsgcsrLNAVj142BptcM+mMz6PCP39tLBkf4qwxs+xjbi7yOQmXL6aay26uzyspoQy+2sOKnsgUZtBkN0Y7RwgAriJXxVgbAJ57EHzlG3cMHObrdz0nrvbE9gzfcSycwGMqC67+yTXgxn05Lp3vKiLmnj5zfAmngyTDD9wUAMlQzTs05Xec7WeAYJLvp1/Q8nBif3KON6+Zb5VVBXfq9DG5ZVL/Tm/rtIKAChWTN/Spaar/GnfHBl94JL4wwdKZbcirM1dzRuyxhhiUdbo7pPrToJGrjha8cgzLuGev62YBcgaICdnQkPq2yI3qkI8NTczeetpXdFyDPkW2NdN3cGcwyhWWe4sd10HedXJ2Ox9DHeF/1VV91ZBvLxOYktN76HVwFIsAcvckv3GRYwk9BgA1GtS6XSTUv35MlNtI1g343gy7Jg85sCHwNj04FL9kAZ1XJkQU0x7tVdpBnzxQ4LDO8VUr4Oplo25B+PEs2bBPjmKRHW//w9Mc//vEjU1+mHK+na9KD+JOOSh8VHMT/5pgjV3AQPBy8DrnLfsFzYMqeLEuK76sgNIY2dJetZJ/+9KePoIb5JW9VGGV75Pj5LKC0Ac50uE808Jz1grxw+sBl/uAAOzz5NO8O4e1UdM9xGMlIci9IXAUZOnUYGGcMHH6zV/VhzuYGP/ou40zfwUE2NpzhmV7hVlDW3mZBlWxAMJqTOYCnV721Lgn+6cOceie7ZzjsAjgF/pJh7QRH2p6YXEfzAjDmhR54ll3bdqleN609Pcb5br2Go2ww38EDd3hunfMCTq77x8u2OGqj30r810FPP2Y7JjPwWqXYN37jNx485c/9ZMz3zguId1vn4cH84AFccKO/9VeSa/ClO/EaWsaj2bLmz7m/ZtDPnskT+J2D7tS/ynU8Tsggd/8ok1Ve7vmtD4qIACKuhfG8/7h+ztcxL8ZynWNCyM4ZdGN04AEDNCMqRyVDMcMmgzVjqMzn2QgoS1LkKaVcxhoDVua0WfS+Uxz+CYLoba9XW5xtlLHrlbu0+GPos/NX20qgC0yAeR30DM8d0yIYbjq4JGdyM+jr4Lnud5nzBJPChZ8c88Yp272/F4ayNOGyPrShnIu09kxOS3NrQSzL2+IYnspu+UQj/3C9pfWr1MoopWx86ovyjV9SLGXLCqysM+v7BifKOKVoO8G9eZ23MyyOcuoyIvaZorddq8LBfJWuohdc7RyjOdyGt8X/Zs6rLKn/LVt1TR/wcT0k7p6DrmwM/tsTp4TO4g9XeKXAWnt+0dc/HUd+cn4svDlAGW4tsmXvcpL1qW2BrU441i5DpXJHbcoQ4ccynHi8bKxrYKq8vUy2+wVQM/jiy4xFzyZ3OXY5RJ4pK0Ouysi4b94MONcK/K0RnpPetfivDFjOfDolA6oxw7P78JberqQR329gFQzhkS6nj9oWUOlggcANdGnXQUrRNWe5cStvL6tj3Jxiuhps4SFDtKoDfVThgGfo8bYjbRWBfnLA0aEMYPv/0cv9NaKieYGf5B6c0bt9ksYKtoI86cLGhVv3Mo7TkQVQum+cdKS5W+OdVM2+aH2Op1Y3liUCd2O0lsbDq4dz3PThOyek0tL4a9fzqgWNU1YTnNYZY2ZjFOxPtt0rYK8PPHrNoN910H/3d3/3WIN7S4jXPjnBGe/Efxw1a1drEbxy5uhUtl3Bs7aRlEVMHn2yU7QvCMQ+1N44z3zmMw9nqO0f2hTsyhGzV1f5Mn7Irmi7HT7G1zk0vQvbs/Hb6scq23IcC4S1fzlbGJ9V4o7vq1LKqRO04pyDC0yrH9N/yRYer6waLFWulPldh50smAM9Bm8F6XPQ4cD9PUfKNXY4Gpkzx14Jc1sVyVXrh3bJPuc43Hs2WnL00MvYVcJ6Xvk32hcE3Ex0Nhi8gRUdC2aijXVXe9n8nNk+OzQTvvgS4NUPJ71qx+wfv8FCp+rX993GuRUKHfDp2bL+JX2yvVqzWu+r7llH1/Ntp0HLDpo1P7wpA9763Vp4ToAWUArm7NiCtOCuwkcfxmzt8lvwQ9KzKocqAApa0okqXfWbP4aGcF7mfINl+NU81r9rnbpm0Hdle4Lfc9A/8pGP3Dgq9nOINPrjdFY6G/L9bl8PgWtfeo665zosYMslAy1DcEvetRP5JODrRGEswogpysRmOCYUBJHir2SprEmLguvB0TP63Yziok1/2q1jFpMTYPMEu4Vav05vt/eYYJcZBUOGahmZqg3WafO9wADh7ndZFcrJInAuc18nHWwEqYy3BbDILCXoXhl4gl+gov0jGb4555RB5SzbJiWxCmzxtmXuBU0qoxF9ZBS3eG+goNLynP6c0S1xb46U8Ja1t8DkmFM4ZZ48gwba5Hy7BsftnTyLywYAzD3e8R0/5MiAMRrpGx+QlTe/+c03+zMvZc7P42V4ZID3u3auR398UmXEGona4hP3O0wpx65+ypDF0/rJaTn31TNoqDLkNpcnPUF196SapyO9Zq2gHh2p2sdvCxlc4T08bjHGDznhGXdl3n1Gq849ANg66Xgq2XNdO3qQQeRZfVbmrV37FstW5SBnYOijfYP6AiO65wBt0DB9QG+0D3iz/uRps8vp4xwpcBXN1y/DWwln64T+tSmLnXGQwQ32jFJ9h/MynOnIgkrGyCE1bqV/m4EvU1YFhMwnWUEv+sSYdGZbAtID5tl1bSonpP+rHKpSjEzlPOKZ5D/Dsey++ZpTe1SNpV9rJiOSQVngNfr4jebGYCh5Bmz0a84sehWUKDsIR+0jrArAnHuFj2f11XPpWfg3ZuW7KzgZp66ZW4GRdGTln/G2+3AHdtceffTR45VArZWXhHKdoPgqGpaBSmb07RqYq1wzFrrFq3DfFjFyAA7td+sJ+KuEKDvYml6/2mQc+9T+mkG/66Ar0S7T+jd/8zd3XvziFx98zknHs7Jz+BsfW6N9es66SV7K4gqueM6eaTq1IFc6CG3Qg6xyCrTllGn/ohe96DHvIE+nyLa2taYqCrRMTsiZ58EDDnqkoKZ7eyZTdgneKlCw+hE/6rvseTZHmVv94cHK+smZrXEcmexGz7dtr8BnerDAazZPCYqy++TNf6fNm49nk/PKvumBsqDpELjnUHPe2GzscQfNaWeNKZO8yYBO3DdvfTe27LuscQHSqjELymSHph+N4fn0LPjJKdsG/sEkKO7QMeNbD9OP6A8+a43rxjLfXrOWzFZNI8lhzuSbjhQwLNBpzuzU9FxvBFlfxj2wCl6sPkLreMr8SjR11gDatd0BbPlMBQq0e+9733vMoWDR4+nHgqzwZ57ZBenHbIn4Ef+av7F2DUZ3z5o7PKYPmx+6ClJULce3wCMFfX1WtRq+4ey//uu/brUN+ZQ4JO4Tn/jEQRBMkcFOcWJcf+dsumtbAt/hAn0qt/SX8dKhOBlpCIigOckY4znPec6hkP2VGQSLUjbKHWOl5LRJScTA7fG75BjpX/syqUXQmmtBgxzh+qwMJ+HUTptKmkQNBTeUt2eoXnK6csr3cwWPEK2xnqHNyDf3DoqDL99zsM6Ouj4z7kQ9y/CYd85ZUceEiQJcnGWgL3zwh7a1OzvpZ2eagqSoOC/+NgNPwD1f4CcDrM/GPZfo7xjBqN8yU+jC8OyQOjyUg75BEP2vAR4P5qSU2alN+2ZTfouXHHZz+qu/+qub/efhKYP9kpK9dG0d9HXazY0MwcluSciBKfKZvPXZGOdgVLzQ87v4lD0w/jWDfi+D/qY3venQkTlCZELGQ9QbvS2q7vtvcS5YBKdo0MGD6NhJqGSYnrEoooP/9JB+8BD+In9kGs9zDPB0izF9a4HNWfVM2Vi0BnOLccZADk98lhGXjozfc34LcpU9z4lKR4IreDNoRdzJNT2Abws4ZtDGh37DYY6QsTLg1riqfL/AFXmBF/hkSOV4+40OHXrUHMteZ9wzIit9373KleCaK5gqTYTDMmlgXPiNB3eeQRv9Js+eS0+BRR+VeXPItdNfWQm/CwCnj7ZyoKAjuMrQu9/+cffhs6AGmNrjbu3iKOEzOKYrNhudrkgPFEwAE/6Cp4IgZfXMu/VEe22jMb7w27rFoIVbeC8r39pLF61jnu46X6vfDPsqKcBCbloHcmSiUxnBnB9zaduJseBDH7t+5+B5JocIvH7Dreevr1m766B7dV7VEG0B4kyx6/CiJEbVLnjE995rjdc4WBwHuoKT1LuW29Jjzzp5rhQ7/ZTD45ODXiLJZ3KlvF2ZN71AZvGk56tMTIb8xgdVTi5P5qiDE6/rx7WqoPCC+bd/Pr6lB/SbQ25sjjCb2tx8OtgLLrKZ033p3OS0StKCB8FnLNfMj23lN7kGH3wJiFmnBErBD5f0JVzv6fVlYMGr3bOe9awDbvB2GJ5+P/e5zx26owPnrD1VD4B5q4XASI6icdUT9NCuA9YKOAWDPvBAZwugIzyjf34KW6+zq/RT4DMdXx9l6H2WpU8fG8v6UQWVTzrKa/o6rwIuSsaYS9WSVV+ArUANnMK3db4qAOOaa9UYBRWaewEoz/7e7/3e4SDDdfbnVgg/iH7cwEdOu+fgHZ3Yx9Yc9zZIAzfGotvhml3Sdgbz7oyb9GN2gd+tp/FjwQ04uL5m7UGt/wvtNoOOQBit/WSa51Dvo+usM4iKwq0iKmNb6XuLPmVggW4xdZ2Qed0GpbEOOoWHsXJItswbPJiiPcjrrGP83WNM4e79Mofn0rp+n51080thNw/XMLPTFgU3ckRzBMF3zoYuDssCZZyU8VznOLxuFr0swDroW+YOXzv3DkQxXkEFcFU66dlObV+nm+BmQC3cl7LolxznM6v1HOWX4917oXfO0Xqd8zUeG6s5V5rUYVzxRQGYbUehZKT6TonAe3vfyiYt7Dka4XSd475rj9//5E/+5Fi4/F0KxOSsw39VFRndjXl20Msy4Um0XAccTDkDLThbCoVX4ess0yvfjduiuIGaq4N+FzvpyE5xryStLDaeKiueXFsA+06uLJr+0Qf+fZYBZhToo2AhHUmveh7/ui4QQE5bUD1PJ+UsVB6Np3OI6AL83Ti1j+fSidpVlt8CG2/jt82ypKcqjY9/coZydOgObcEMF2RdX3i2iH9B2nXEMkAyvuHA/HP6Fk7PkXP6oWqlDEHXPFt2B7xlkIMVnjyfMVl7cOqvCi/Xy7JXepgzvMHFgqplbfecFfPOcEw3rOybX9kzgR6GFHrBm88cQu0y6Ogmc4Erc2n9aj4+8Z75VGVRZZjfZULMVZ9VVriuXYYheAtegDk+KkjQ4Uc+4aPtGVUZoZP+8LWtYPqn3wvmrM55PB1prmcdGQ1cb81qfTO3DVTAxRqWYCVTZLq3WeinU9tz0DOmCxzBQ8mMawb9roP+7ne/+0jo9O5zOguN0aIsLlq4JquevMhcw2fyV0k0e0UbDoU+sik5mu0/1q979rl+3dd93Z1nPOMZh2PROs+x0genyRjapw/xUkkbfFKGseqjbFHt8Ee2Vw4XnrAuF7hxvUBsp3+n20okaFP1Cj4jo3/xF39x5+/+7u+O+YFnqzRyttYR73tVpQUU4O9c7VZljHlXcVP5fwkU98DbKeWe8dsnfof/grtolX7kwMMB2jslHt7oLm3hmnPdXLQroFxV1jro65yno8760XPGdi6OrTL6FnAoKJdu0K/vHPwcVLq4arKy9ObYQWbooK+CK+3vL+CiXVsE4BsO83fQwZhVbMEHXBjbf9ttjAsPbdtoqwZ6FkzxysbeFqHfdc6163e6/uzDtObHdwUt4jVwg7OKY/Olp903n7a0pve0I49kOtnWtu/GKUlg7GhUwMvn1UH/IjjonEwKKqMF0jFixnzZ9M2qV96eQQGMHPZK9lzb/S2BumXnxiFwXuuQ0ZahhlkpHQKcIdu9LS2sX9cyPMvQ6j+HbUvcN3vuecxe1rVyc9fPThRjJgfd3v1//ud/fkx5ewZEhlgO25JpHa3G9lm/mwFtDwihEAgog34m+xq8MhTrKGY4l33rtQyEkjIC8zrFlfg1BsFrD06Hduz+8MW/77sXZZ3GnjEHpS+VxYSz+i6S3d4dfQbfpXHL3hS0CR580wJaMOd+4lIGHe7Bv4vjpWdyYiqTtP984d1n7pdJ32zNOu7n8dp+gH9zdIzbYVGV/afAM9g5KOZR2VjBqj5bWIy3uMO7+On6HvR7DrpDkHJiyuDCIx7Dk/SgV8VwSBks9AmjS1t4Jr9b3tc+Qgumdj7xQAteTpJrHDXj+Pe9zAo60Uf+8QD4yGo6Ek3x6WY0PJOxUuaTjMSj7uX0xM9l5DOytMnQzWBssQZvpeYWd5mhyoo9V3YVjKsj13HP2C0QgX/L1oJl+dw9uAQPY6iToTNeqiBYmTIvbSvHTke5bmzXyzKjTXsJO5U3Zxu+w7U+CoZl7JTNok/KDoGrYOBWZsFFARbjySbaSgFf4S2Hh37MAQdrRnGBhE6ablxjbzURHsnJtL504N7qyOCNXniiDLo5ZJCaf2tP/NszZSo9JwjvFZTKVMHec9GlNfqs+1ZHljVfJ10/VR5sRQMcxt+Vkrq/mXU4h6uCBBnmOV5+FyRpPe18ELDgF+8s/nLeBlQAU4l7Bn4BcLhV9UM3yqDbxsg5l1VHQ1VEeJGD/TVf8zXHNRWTrffsTXwmq4ieOQ7ZJ21B0L897w899NDhACXz+FRCyD+dnLOfTVdwqcx6AbsO+6S33ds96FVykrndc1zwCq9rY+5lQeNLcPvv1Zns63e+852Hg55OKIiBr9cOTAclN2CPv9OXVXXE723z6J3ZbGxVDcrWcyRXPybH+FrFQUG8go2dGQXv1jp44ahXYWSNS2/oiw5NP2pLN6OBZ6wN6OJ+WXzwt20HbspWV90CH+FOMOaRRx451gV8VxCcD2Lcsv74K5hsETOGNdpf47pvvOyk1m2/4WpPoV8fInwVwNNHzm8Z9rN+jAc8s6+Sg88f/dEfPXADB2f9eD/7taTg/2fvTnvtTcp6j/c74IUYH4gDzoK2Q3AImhCnaESNBocIJrZMisQIIgIaFJUhxgGIIaggQpQHCDiExClGExPfzMln9fnu/nW59r//3c1Jdp/eO9lZa9133VVXXVNdU9WdM74VSa3NrlkbtIVD/wUme9sMesANfHVOAp4TaCtBqQ+4Mc+Cmqr3wgl9ifeyj8xB0uou68fnTIn7lkuX4UHgM6MuioaAHSSXI0wwEMg934t4loXkqK/j1kKcg45B/aXUEJUCrDSNoi/7fTq77SuKWXNKtNvseYoyZt8S9hW8MjaeXwfd81UVWFT+5E/+5LLwELqyOMG2MDSvslF+n9GvzSTXR8JWNBcuNosO3yktz6SY4cPC1jvqM8Y8a7HLwNFmgyVl0zPM3Y9mmz0vk51Dbeztc+ljgbOAlsHvNOP4xhwoqxzeLX0vkBBu2vdZpsTvHFtjts8JzGib4wrXe4Bc9HAtnAUzOlatEe+Fv82a1x6uRPSVJ5W5O43M236v477zCJ9l2sEBB+haRizeLnvregtp0Vu4JXcrw8v7OeXgLrupX9f9eyf7XVauD4vnZ9MuA1QApmiz/jLQyHlOOuOKnFjULICyPZ1oW8QeDaOHtvit8jIOXlVHOTk+yQxjwr115tE75wtvMn5yznJm3AcXHqJr4zP3M842I14GOKcnGOm9MiK1SeYzVAou4CdBQvxLNsgZ+HMSXS/j0Xe/2yeZcUJuCw5oh8cz+DKKjGUeaFPpf7KQMeKzzAV+Nk5BCrTIqDCfsv45beZU+TpY6CTzh8tK8nPsCiToD/3B2OFU4bo25uO+/w5M8hzYKuNNF6b/0mGbEQJ/+9nDA5kv+IFnjAVW//RFmXXPlTUyxyrEwj9YzDMZ0E9VGwUTVkeSi3gsJx5OK+/87Gc/e+HR1viTltfkdA3OeDrDU9/h1ffTOK36ynjGMsfKNj3X9gW8gT8r43QdzqvOQPcqCxqzYMTrX//657WOjDf+8A//8MJL6QS81B5xzjEboKCl14nhA061QD0HyG/7jNHBd4Z/lTccK985eJ0Sv6W89K0MusOvqgYBB5tjqyS8+7pqx9V/bSEjb1utUoVKp5Xjuyowsk09w16oWkeb9EL2KF4ruECGwAgn5muLBPgLNKbv8Gs2YvJYuXW/8WhBAtc2YJh+zG7jgMEFXcUmKwGHZnQEu9AzbHfyar2CY2tYh3yaG2efzcs+yFbwPPqQPwE4cymRpZ3x8EKOtjHoPOOhBycxHKXnVz+qrmVvC+joD2/gkV75nK7NoQdLB/WBlw6GG30aS7Y8e91vf+wiuLdu9V53MPNzCp50QCxcu9Y6bo3XT9eNFY7BUZLQHCuHb5tHSSqB7Pe9732XdWqr28AWLa/px82yV4mVfmz9rNrDb/ofDq0P6BWs5AVvWHsKPuqbvMEXfsWn7pHttptVCo8P8U39VpXijK67bEM+Jx10BK4shxCcmUkEcv3aae8xEeWT06ivHL2ytkXjXBdZLQsac2IekS6CiLFa1Dd6nrPS4qmdsYpCGv+MzOckr4N8Zkz3mb5XSmTuYCdQv/M7v3MTXUsZg+9aifMpXGBfWM77a2ysg64dRX3uP9eGYkqYc24pCm0pQgJcGco64RltZ7l6c8/QSdlvZNd815HXtkh6c/Jcme8Osete88hYs+AVwV6c3Fb2ro3xCqTklJ88W4a8gFHVEp7P8I3H8OBtGXTwaWeRgUuZoV/4hV+4OQDvNtqX9WxOmz3caycfhF9zLIOuzW5lAGt7u+A5h167s4Il+Sp7p01zLYBl4UGPewf9ySXu+DKnCs7wumsWtfYl5tCVUWVcME7RkY6InmSIUVRJH3zjTX3ixyqaGDqMB4YPvZMzFs3wof3rRdBXd2XkJfdl6deJyula/VXmhIycspFxWPAoY6CSZbKB1zMEHDRIF5mPua8zX8lwfaQD1gDNSN5gQO03mGA8sGrn01zL8mbs0SHkwXMFpRhvZAt8DDOy4z66aFOZJHmju8r+Foxr72nPBFMVEDtfuCGfbYuIDpVhm6vn0DgaZBzWj/l5rv3m7p+OhLZtdcgRNb8qJTqzAs2qmsvY1ibDswCue8Y0t0rcPVtwJecj/tZnARPjf9d3fdcj73//+2+yZem+eC4jdAPYrt1WwhmfLN8YZ8uDT+da27YEoYHv5gKfvbLLeObink+4aD11zxhwDc62GLzhDW+40wboNaP+C3ktBx19rb3pxwx5DncHsOEL19EJDeg/We+SHOG/Kp9Pf/rTl0CJMXIWPNfbachur7p8+ctffrPFAq+XIOnQYzyDrni24Jtr5L1qCzy7FU056xtI12984dm2zhScSHet/VaQtICbT/2wbx977LEbnFS55l66N0d4M6p9r5zf751TclGgACwqcrLDfYIXvdxLPwqECILoz7Oc+ux8DqiT5uEIDQoWNE/3lULnqMIZ/GSP+9zgMx1Uwq35gokOpv/Y/b3WKz1VVQK8FfyB2w6DS494rveqpx/d6xBq80O3MsNgFTBIx3HS9eu+dtmWVS2AjbOKn7I3jaldurWtsqu3S/yB3VzhCy+88pWvvGzPoIuyLztvIFklN1uN6vra4dF8g9hd86yxwbo+U9sdzL9AKp6XENC26lryW0BSX9ZLv3sLgXGSldYTvKOtKod7B/0ZatyUqxJ3xMppKypTxChnpwh7zHft8LhA2YhpCnb35eUYEWglT5g9J0r/iJqDXolvDIrwMT7YyqjmmJdJWLQkfJUYJnQ552WWUqaeLSrve9lz4xFGe2He/e5330Ttez5DcvfWrSCdmfKNgBnH7321QRke9NkMurank14UtSCIsSiesmoZIkUpG091wtLGHAjh/mU0uhbuNoOewjhZsUWB0Gc0VmJE4W3GvOj3ude7/Y2bcalKoAM8lkfamw6WMumV3Wm/e9F9ryohI26d87OktvnBh8gpBUSB9bflx65dc8z3+vLJbWKMv82vDLp2Oeinw717nLXH71vqbm6VuDdejnnzxuPgdsbCXVauz1DtPa3H0pGvfvWrn/T6ngKYlVnmaLflAU+hLb73mYNuuq851QAAIABJREFUcDTRnmOPrp5BgxyAgnzRzm8R7EqR8Z7+yaz+OeholiNujLKNZMbz6TKfRcg346Id2ShD6jd4yPpZheRa2fIM4XinjJV5WU8c9sTgoYvKWuX0eCZjE/zp9wzVDIx0ZPLvd0ZZOPRZAKXMb8/F3+EELFvazJjL4IPbHLQy/mhsDtpsJry95eBMrjZwYTzPlr2pKqFMS46tPis5dK2MFPrTZRwRuj+nZ41b9zuxeY1RY4AfvcFQkLs+6BTXont6I6cDT4LbZ5l3cGaQr2HfuAVn4AKOczIY9uCwFsFtQY8tz8yxSz58ngHs00mJP4zvX3/xVFnw+Ln1Wx/mitfJT2e87Du5c8KW74M5OYI/fdg3+nzWkelH2T9Gec6r63RUhyAWQEtfsnHQyx7V9GM6xHX8I8njObKtP7ql57XxX/bSAXFojAfRkl3J2XPugbcSdbJ3lZ3omF7IaSnIU6IHjBs09Cx5KPsaT+ChnKACOAVD9bXBNrB1iJjABBuygFFBzl2H43lynl1UkDD+rwowWP0W0PVb1plDyR6nw8BuXnRjyZTsufSz+cBr9oZD5jik5mK9qQTbfThDHwfKCRYXtDN27x/Pljb31sfsd/2hVYHi1qSCBgUk6eje5W5cOgXfWAf00bkWAgqVtxvDdXC1XqS3wOQaHdWr//xubcB3zRN9JCPTF+x/3+HRJ77sHeLw0XPNAZ61KUBRQAIs6CLRlx6vMgns+QoFtlo39/ra3Q/Sj2hHHs0Lb+LTzrRxDawFGcwVr/f2BeMJJpRU9Lx7BSeyswsUmZf5oPXnPve5O60fn9MZ9BghR/102DBiTjpmreTEZw66ZzrVfZ+vJEaZE8Wec5STXta1E8Exfs5vDnrwteiv87tOx2lgtv+88m6f+i5SmpHlU9uyJISZsILNguR0UGM+yMlaYcpRP530B3kM64Sv00zYRDw7NdJnCrtss3mBncKiSDaLDYdVLaAjfG0GPSed8bcZ8TOKl5N+zqkgDqH33eLS69XOMvfouSXkOe/rjOZ4tBClZM/M/2Zmwi0+KmpaMOUa3vHfZqe1AVe0K3sOr6oSBLf++7//+6ara7xwOukPove158HbHiI07TT3HAv02f3lyVJZ8t3G8FS81uFyaHW/B/2JDDoHvUBRfFigx4KbE+R7/5XQMlLxJEeanPqE55xLPMUAyqnJQSd7/m3/0Sc9nPFqETR+BnL82SKeM9pijK/SYxlRGStlrFa+CtaWRSiTU6Y+HUkWM0rBYC7uyVb867/+600Gpgh7RsR+6tszOdT49tQnayjvd8+hC3jB4Tnz1BdYGE6VbeJpeq6gXJVB9AKZ4lz0XEHN+gN/wcaMycbek4AzsjPYfVZimfPoOXCUoWjvOnjAYj71ib7pUvTBNxnwOdNoUrCgdQ8uCvhkaFfGWZA6+kcLhnnbBDbA07pSnzngBX/K7sCVNsYjD/SS3/RkOA++Ah3Lc/otcNBaf+orYxZYCC7X4C6j0HUwWHvoTXTvJG1tynrSi1VduF65cDLU2PFb9M4hNy/G9b2D/oKLPZSjGk0r/0Yv9uDqRvTF29Ywjqo2qo2U01Z1ZD86uuGrf/zHf7wpzS3YyfYkO7Ln5LztJOwBNDY+W0P2uJLjZCcHvfM5oj+ZSj/iKbQvQN68yE1rKz5ra5I+6Qjt8bex9KWtf30nG+B54xvfeLEdCixc042u5bTmiJvnteTMysN+L5tsPr4XdGOze3c8+1ySBu6zeTlpVYgZT6l7p+ijB9yTkypJOgdE/+k3MLA9O5m/REHbTKJFTnpbrXoejowhyKAfcFhL4bH97J2Qng1pTU13eL5D43yvX23TZWgpcFGCssx/wYqCf+YCJ3SJdQXs6+y7XwATveBl9aP1xHX6m05SPQKP5uMNQPgGfQsAFgCPjtbo9Ll7D9KP+j3XS/Ngd/h035yNLZCDlnywtgbQmwUy2/YD5t0zv3p5xyowZiyJK1sT7rJ+fM446Bg0ZizjgmESogygDL2MBcTZ91pHOArZH8Wk37PUNgUne45xKegy4Ri/vd76qBTnXKwJkWfXqSnqnwFUBiMHpuzyufc4hXpmE5tDBmp7qe09a47wVSYpWIrwBvOWPHXtzJ5TusG5++09i/GLeO4+9DUiLEgWye4zOOAumNABreCgDHTPbwaaAJ9GYQa79kVcN4MOBwVK2s6gredqHx/sK/rWEdeeEt6MdvBdK3t3D9zaZ+SDHe6jl8XIs9Hbb7y+pUSNUYl7vIimW5a2/Mf5cLjh2972tpsSZvxbqdQGhYytH/S+zVn37OK439EOTvWZsY0nKnvHM+0tzxnffecL92bYu56Mh0+f4L3PoD/ZQW+/Lp2Xsdm+xYyxIt+VQPdpcauEE23xKZ1YkKw9wOitnc8WbYsoGtOJZcDTS5Vi448Cjy3qyWrObkZJ5dfk0fd0ZIe7tVcxx7JMus8cN30Hi0/PmksOqkOG7D/Dr2S0DGl6MBxmaPi9Ru2pIzMC6IuMXXLVc1XKmAs5zvkqq6ud+WZMdz35brzoUJl+Ogzc8FimvCxIxnzVBzkPzW+zW65VnQK+DNVKDNG8SgJwlcn32XqQY7M6Mv2qnb4yRMFcJrm+CtLk6MJ51SBl6ttPaMz0SYGY1VM502WHyp5W+slYfslLXnI5qRrv4mswFWDMkMQbcAGOjFr00T+c+Ndmxy5bY36beSwwgm7xpOfSv/rKSc/oPB1yehUs2SgbsPe9c1Pw0v0p7o+f4s5B5yTHf+kx9lLVPQWIsg/wQzYmJyH9mBzIkpZRROOy8WWnPYtveuc6XjBWzlXJBddlc9uus/oxRyTeXP70HY90BkjbYfB1byTqBPLkI8fNGM2HzGbXuC87LSv96KOP3ti5rSdbZdNe4eAtoJi8u35mz8ETnMZJ75m7dQTsbEnwo0eHo9WOM42OHZzHXuwd2c0JHYzLCWu7Clyxq8h+J9LTUelHslIFZbayz7ZoGb/qoeBqP3SBs3gKPTjt9IdnjJtdDkZ9mkN/2fTmXNAlZzq43Uv34s/sWfCba/Qua85ZNw7+aO+7vqx3BbHTYZ1x0f5z1+FGdvmHf/iHH/nu7/7ui34KNsHt1qnmUELTnMFWkKU1Ex42EQOffrclDkzZkGXR6Te80DY9MGjTnMDRa5nXhhTwgpPdk1/Q17i9XhX9bHG7d9AXe0/je9mXz3/+8zeH5vR4hhRmyHHYTPo60J65Vu5+rcxd25xkDLIOegalT0JIqeYstohX/r4GShnPDNGYFoO23yfmbV5+1+6MRq0CXCHHhBSYqOc73/nOG4P4LGc/SVDWOfhaDPp8KpKBmSL1t6e573M5uuugdz/8mCdBJzApw4Ii2uakZ5R2L2e9LQ7ubya97J3rzbHFpLZl0cukb7b8nP/ptJ/zqCTHfNpTXklx2fGz/KaIcxUaOTPtpXJ9t0sYM/7wfeHFA/Zn49GUmki0RWEzXOGjYAG8e9bC2eFhtznsLXz6qATQnPBtWdTFS052xn7tMuwzMk9cbzbOvTLoFO39HvQnHPRf+qVfutAhRzFdlTMdr5RJT2+2zaC9XWXH9YXnLGIbVNRvZZFoiMdkLxgpBbvIrn4YCG2HCTa6lawxkshJhgi5TPfhBX3FR2VNM4bxUEGE+LMMxWYTwRosfebEgt0eUot5BnrG2plN92zGc05b/N/nZpf0E98GV9UM9JJ1o1c6mmcBBnjZV6+Zm/sFtzJqCngZI8e2dnAEpsoW0aEsVxm0jO0MQ3iCA7LlWnsfcyg8Bxa6CI3qp++7LhboaD9k98CgfesaJ7K5u9b+eu21LaNdUL6gTBkWem11JB4x77I3G3Ttmj60oaeMITOaYw733i9sjhm0wZLuje/RyH/lyI2LN3LWkxNzzqmHwwKj5l6mTJvK/cOTe9GyyrJd9/d763QZvpwi4/3qr/7qnTZAn8q2eLb3syE/+tGP3pz5UJ/w3ppKvjeTXqCp0mQ6Qbl7Aa6cdFl0vI5nCrLgN7zhWXanDHoOQvysjewdRxgMVdkJinLoeiNOWVB2U06MPsqEe47NBD68i1fIBV5sG08JmpzcbIfVj+EED9H5xnd+gT99l2DQRyXs6Ty8Go+WqMjm6nP1Y/LQ+H7DP70I9i/90i+9yKbKLHP27w9erDeSDNYV1/F4wUr9kGOw97q4Xt1VAg9NtPEM3jAvz2mHJm0lqupmbRj34L5qoAKx8Ev/cPz0aS7WvrY7XNOP4M9pjyfA0ZsuqiTwrLYy2pzVgirob+0q2JmT7jc+QMO2hQpgtMXKfKNlfKBPc4AzfO158DsgsMCvey972csua717GzTUHk71o53zr2Sn/afvCsYGf7ZnQc/WXHNsjc0mKBCVDVEgRaBSGzzRXPKVVj/WdxW+ZEzwxt/HP/7xO60fnxMZdA465q08MaGp3KKFGgHbq0UAc05qfzrpZZiLlHJK+nNPhEamhULajCMG0ZbDQ1jL+GSMxby7hxkjrUO1CtH3LffNaSnTmmL2O8dTX+abgBaQ8Pstb3nL5fVqObA56GVvM4T381wIT+fc742AFY3bTP86zOChSPdvM8VFM5u7thQKpeWzQ+Xc7xRN39dJpxRyaN3LQT/L3K856MFVWSheaYH1KQqL585s+ZlBP0vd44FgbYEDd4vYlry3H72IY8GKHPsy7GXPr9Gpe+AGn3I7pe0WCkanha7SqM3cxzNlzVJqOSPu22dHuev7qUrh0aO96Cng5AN/n9nAsnzoAzd4miHiu77wVr8LaIBJn2TfWwrucvTzpNX/i98ZoCpm4I+MomM6aDMvcIZX2lOYYUQuywTSexmf6NLBY/hUv/gro1bJIT5lWJEj9NSnMfEtWWZouF7mN4cxowU8+vSZflsZomfK4rfXray6Pgoo5ACXLS+T3qKe00evMDI+9alPXYwJ23AyYHNOywDk6FaGb7wMTd/DbfCap3ngdddWR+LZDM3m0atgKqdujetVPWTJGOSR7FQKin5lAuDY3Mv6ktG2OlRSD66MGm03uBBPtlUAjXedzVDFI/pwPyOr8sLKJfWlvTW4k6XL6KY/0C5jzbzbvlTwoXdCo3lbE7RBA3gtm64P45b50m+BhZya5ma+7hdI1DejTiDbuPYAt70jvnSdUd+e//iowBDYyYf5kZmcdTDkqG9gXbsCGslaNEmeKntuDSjQ05joDierI1uPFuclGDx/f4r74xn0v/zLv7w5MT05bG0mE3gLveAePXNuO/CtQKfXgFWZgc5l0ckHvAu8lVl2DpDXYH3DN3zDhfcKoJBHbfGfKjdjeh4tq3RKf1n3yoRmf4GlQGRrprmU2CB7ZafB6rmtVqxdgSF9+Dc+O4zj94M/+IOXLDAZgJdkK3sFvsrowkM2+OrH7K70o/bNsyAf2w6svVIMvNlkrttOsPqR/kYfMsDxbNuIdUqwg54Bt096Xnk8mekQU99zAgs6ZmuAqbM/CtylQ9AoB70ETPrOGkz/4hV0hVfPG9vc+QnRy2/wd42Mdjioeeagw6d7VUCgORzZatZ14/RMc2jvuetoqT1cGKOAePhsbgV3Wn/1+8lPfvKRz3zmMxddZnuBNwxwbEusmA8egHc0qeIrn6XMuE+Z+F6H1joM16d+bD3Av3Q7PjBeh6Rar9umnJ4Ge1szBGbwK/6l3wt04ZP8OePrBz48+4EPfOBO25DPCQfd60/OMnJMhIm31Nlv/5Vm+yyzqN3poLuXQGGs3YuO+TjoKQEMkSOeI0/I1tnKKMYEvq+DnsNS1rxF+DbnPAMwpZzBkrOdM1UWBPwUDga2KPeOzjVSNqp5zdF7kMMePD0HrgIJlK5x9X/tsLhzrLLF5tSr08qgWjwImb4zzMOdz93nfh4U5z6FcM1BD4bKl7Z8v/bwh+7oW8DkmlO1pfProO+8PJdiLFu/vOL+zm+DF+5thtrvAhGbeQfjmc3nnP/pn/7pRfkwOi1wZWcKNmyp8RroyU7X0NOiWmadfPi+lQrB6pPCJWcFtDwffOi8pe6NsaXu4aBrZQ3ivQyrDJT7DPqTT3GvZK8sJt2A93LYyti5niPnPuMNv5AnC1kZk0p26bOyPO6jq3sW5z3URV9lSOkDzzEqNsucsZb+KmDgM/2j7+S/dhnQVbrEP3gOPDlS5oU//GUUlbHBl9oyXJS3+91BS7Upk1xmpT5WJnPcgyG9n/O6OpIO0AfeZmjTP5Ugm/Nm0LWLZnCALsYiB2WKChZUyl42KEPaJ5oky+1hbX6VW1eFEJ4ywGsHDn0U/PMbXo2vD/Mqm1hVUDrcZ4GzHHT0NKb+yvDpUzvzS9+2zuWcFyzQFh+33SFe0Vd4Axu4esuDuWXsF8DJIWB8khc60n9OWlmbqvL0kd5JHuKxZCb4zZFhGC3KgKNhGVTzKCC0jgvjn9FYKX1ZJPgjlwUu0Lb9/665Fw+VsEgXg/PNb37znTZAr62vX8hrBTAFcwtwpR/RnN5oL7Hr+JDcuY6u+KntP3hHZrcAC/q7V1UafrL+FqDhMHDQ7actCF5FnCwjvvWWlQ7DSvZ8Fsyx3rNHsn/JOznoHejpRzyB/vracmow0j3g1Ie5FaRfG7LgRNU13/qt33qzHzinW1/kMxlcZzwbLbtqy/VXP1bBqD1ctAcbbgUsyAyb2zqCLpVVgzW8FKQqecGBLOhnbh2WST7CW8FK/em/iiPBZc+ufszGydZ2b6sGsrXxRjYdvqlSR9/sb59b0ZNf4LPDU82Lzdyr4sDrOXSkK9BeEBkfw3+VA1UWtK0tp90ak1MP12XR3a9UnF/Tumauxq/sH85tHfybv/mbmzMyvCKwQK3xwbU2YLQpEARWOPKPriXbZNQFrfBGvkhJy4Kd4MrhTn/ChXkJuHQAXvQwNoccvn1Hz84UcK23A5TQ3GSuOX3iE5+40/rxOeGgU4opjpT3lrCf3xO+a23XSS/jiIkx1Tp2DFGRT8yRI1UpCOEgOBi9AMGWfBiXEl04MH5Z+C1rD8b2du/i1LU+l5mLvpfVzCj9t3/7t0eUuxojeDMuVzleWwTLCNXXGienk9TzHULid2XuRbVSwj4387yObKVY9Wc+RSIzHjtUzm8Kscgb2pyZ5Q6juy2LvntyUhLo2z7sni/4sHi6bf959MYD5kZRrOMJ3oy5DFYLScrCMwWXwjM4y0Cm0KKjz+QBj2VAgo/jwZE2PuUIR1Ua7Jj6aKHesvoc8uWVFgNywrAgG5WMLX4saDnlRVqXdgXLNjhVwGT5yff2/iVfW9Fx76A/gfXNoOMtfJYBWlmw1gVzylxYCMvQ5bThFbhlPOSkR+eMuQwxtGZQyT7i3XikLLLfFlULpr+tvsg4QFu8DbaMLuPmuOV8N9ucrdW1Hayoj6qUeg5cvucU0R3m6HkH3zDU2n++DvpmbNZBT/7AWgm7/ptbDrq5bzXVZl/K+HgGDnMcjdNBPd0z34xEuApG16x5OZGVeG4VjmvhK3kBk2cZZT7NcwMmrrW/Oz1YUBre3DNHn1UEtMa4nmOeju5anwUk0CkjNMczhwR+MvLhFl09b/7mtwel7f7bDNhoEG+nN9DLHMDtfI6yXgU8N6tqzIx2/AjvGbtlzumytoe0zYDuLEOGlgUzqlzDP1vZUsBMPwUk9At2cCaj2kXrgj36KhNaECMHPRx4RjXd87nKKP34sY997IJjNIEnOC2TBpd9L4sKd1UF4R39WE99xz9kJQcdrd2vwiN629/6Qz/0QxfeKfBTRlvfqtO+5Eu+5OZsnE3wgIljQ7+hH360fRBfoC/7Ewx7GBsY0m/pzPYKg5FcFlzyXDZiepLD7Dq4fuZnfubm8Nkqo3LQc8xPB721wdyyLXLs3AP3mVV3n0PJptBfZxmhQ8E6ATT3tOmVnWAFtzkZq0BrtmEl5sYtq9pa1qns4LQ+VdkAFvpCthduq4RKDgtOcJiVnGffxhttc7B+1vZ00Hvz0+pdeKFX0Bud6SRzE9gxTmtQSRc6MNuXzed587cm7LYb/KLCQwVlhyFrm76Ih+HBGFUGvP3tb3/E1g3jeztLQfgC8+abTg93VTN1rgbbtYODd112n1z0pqTo03pa9Z4xqwYER/aFQEbBiOhS5j9/ofJ1dHCvIEbrrefg0p9KgbusH58zDnrZ0hynzaatk+A7hsPwReVz4Iv67IFwBBlT56DLCnWipvKjyi0yUBEcc2FyDJizkdLfKFnKs2hScJYNOOHOMem5yogy0jLcgqXMhf4IhMzQe9/73ksGFXxFja6NkzLt3jpAt7W/dn3p4DthOE9zP58zv96d3r0yrYSSgty/AiRl290rWnz2nWG0Rr3vWyKd874OuuhepfW9NiWHPKX3MOXuKbP4aOGDF4rB+Clh981rI86uben+BiEK8sTb6IavwfxP//RPl60NrtnH5Tm4yxiH99M53t/xl/HNeQNMW5WCxynwyqfW+brmpOe049t4Nhr6LJiRU7+l7TnoBQzwGBxacO4PiXsig/7a1772hrbwxwDYbF34LlhUBrIof+V+DAMGT1FwPMSQWwemMjo6J4MqJ78qikrl8VxOcoGD9JfPMu7JiXFcLxt/yre+co7c8x28GWYZoI2RcaktfNiy9O///u8X/lVdAqbaeKYsTeNmaPp9Zs5d22DB6czvnMqaVrZXsIzct28TfGWu8fgGeeGDLMM9eYH7MrNwVn9VneRg1Ie5NdfOAaAnXMvxLvNcFRKY0SdDOKNKVoL+MUbwrI6sqqugQ/PLQcqB4WT0eiF9+S8QkWNVUI+OrBohwwxs7ZsvA2OeVT+U1SoT4zo9KYAJl+jvr7H1pR/8AKfgjZ+bU/3DnbnHM5Umd1K4edCPHVBbwCuDveqDldOcODAZex2h9pW2FYRRaT2x3q3BHf/iDXP97d/+7TttgD4dW+OZtI2PlLhnA+C7gh7pw2TZ73XOChTDN13nEy0dTlU5r6RPmXTyTfcpqfbpDCP0QascYTIpkYIHBQnPYFeBMzxYxhLfGM89PJcNcU0/ppfds04aJ4ekDHr8nG2gT885NNHp7SpMyA9+Sp7i9XSre2s/4N/TjnkY/Uj+tAOjMeGZXijg2Onexqv6izzAHTnRzvWSL3Bmf7+5tfZobxzZ9vqAX33rY/Ujx64go+fbUlTmGU7xhXttbTDmP//zP1/00Rd/8Rdfsrh4gn8BTr/9sdFbJwo6CBIkt+BkG8MlPcVBdq8KqoJEAi+9WtN9uoy8pzMWH+ZWdZ3v6eOqLugquIF7WyO9+o+ulaCsGqS1Fmzxa/4FvMcTrdv4lZxFQ7/hJntBv3jMOly1UJVA+KDEXfZuMpROLmAJLnOGC3JIzvBrb0cgg8HX2lJlGJrYsnLvoD8Tzfp/s2gERaYGU0BsQqfLHO72MHbQB8ErO9k7BLck40EOun49g5Hs3zXuZs63DJjRgOiYs3KXjYzltFM2OYVlmR+Ekoxj88jAPZ0bMIGlbLe2FGynt7fQ7Dg5pK7l9K7h7fo66lsG/lQkrJ8zi55Tm7Nb1iFnPsN6Ax0dFJfTDqfr0FdWZD7w337teOJ0wF2/Vj3Q/My5/Svthc4BPrPmt2XRU3pgDbcZlzntm/3HX+usht91zF3ze4M+RT0zLMt0Ka2zrxZP4Et0gL/oURbdYrEOf3u6Gis42vdqvmc1iDbhzvgqXHpHpXsZPclOSjZHffeit4Ujx2LltHI+7ePdFgz0uS9xf8JBdxhUwR88kmGEjhkZZW/hPLkrC4Q3yaSFFI7LsrYlJ+NMv/jH4useXsMLm+HDr+hjAddvDk/GMh4pa1Cmkgyjvd9F8tfRiy+Nn5NeUACfrKOzwdQcdjjp5FzGehUmZZebX0ai8cpiNrd0+zPRkcFnfvpFF9/B1RpChtyrHLbAcsYbuoR/uNSHeZBRuKoSJ4c9Yzm5y9mo6ibnM325mfYclrLwaF2pL5xWEg/+pWtOOXpWibDZFv1Vbuq6Z7VLJ+WklmFv7hmeBXVWT3imIGGBp9Zsz9GJDHHrPseKHLSelLlJV5u3ezlw+mXglclKdpq/8cCS/jdeWSB9edacZbIKfrVH2dj4zZx8d98nfoDrMkgFzPQFHjgrSFEQ1rUqIDbTdZ9Bf3wPun2wbY8pCIM+naNg/Wfc44PKZ/EgnDL8Ox2bzKCHfc4Fo90ng571DJqwWa21X/d1X3dzVpBn0U+b9jPLcpYpZr9x1tIV8TRacw4r3abH0p/X7DLjdDo9HQD2dOVWrMED3sWD5sJOpYOUt5tjjlK8lkPeWTrJUHom/bh2Jr7cLP9tdmTyZl5sIzJDhuEmB53swk82DTj8Nl9ySOcUVBQc65Wh1io6RmBxnflsmLa6cOrgBy3bUuVeScEcvNZWn+5pA04ONRz1ujZ9ZFu29uSU56iHW/POTwArXixoYm7WWX31Niu8IdgAhg3mrWMergtOwE38iUb97lVwXsss6WE8/EZurEeeNxd87d+2DZ9V/agoULruLxq0jsIP/HfoXetxtgraCmKo/PRnbDCaKxjrryCCa/DUq0nhCJx8BjCjr++tOXil19m1T9+c6Fb8c59BfyrP7gH3W/j/4z/+44JwxMQoRYMyMgluThDFiLnLAnjuWubcsJ3W6mCPs7ydcn3hC194cwiccYtCVqaCidZB3wxrUbJVTtecxJzlzULmaBahzYggfClYAmL+zc3iAMaf/MmfvDB50a11bK6heh38HPSz3enEb7tr9zJy9nyAhLd9xoR6/3LG91plRJ5p/yg6Efac89OhRdPwrC0h3Mz7OuVoBH8FWDIYexsARZ0x3mJxOug5mODfErVKuymbLfM2v2BvrmXpMuAyVs9odE5DBi4aW4Tw/Ac/+MEbJ0n/FgB4IwsMO32mbPUT3jpAw+f+dYCia2XHfM+QLWNXIIiBo/wd7jJ6WvjBA38WyDWEC8rAYYb5blcJV9f4Ee3uHfQnHPTHHnvsosMYNwULM/zpDAaLxYr1d5mRAAAgAElEQVRM9t7WHKgWajRFP7Tw73flzBZx/SSHKk58ZyC1oMooluGjk8tOlPkB1zpuxqc/0L8s5mZrWmRPHZnexysFgzIOCzLoO2eqrDUjyfjvec97LhmudbboTkZqjmD9GTv9WzAhnRlfapseTO+nI8v6FFgwJ21zfPXd2gNmOAVXh5Dm0HoGbs25dQGuqjaqUsY42lgPcxZ3nfAsnYgPjA3v6cjwHb6qLMhx1F8VD9rAF5r6LDtOpung6GxOeCneiOYFaH22/UKfZVzAudm9ggcF6Sut3D2WGbsZc/FqOly2hLPS+lBmHQwFS8vk4Xvf6TI8bi3q0FP90W0MQTTwDw/pO/OAu4KrYEUPeKZX3W/bWgFHcwWHsYyZI1F2PIcpB73raBZulvfKEv76r//6nc4QPQvz8KEezYb8q7/6q8s6pioSf7b3uIQP3pCFs2Zy5jk/nQdgoLZQ0HvRwidHAb/JiFflgg8cbCz7WRZSG+OWcFEmb3tQTm8JlpzvAlPoyCnLGdq9t/F79lZ6JP3YYZPJepnY5IGM5pAW6AH7S1/60gt/+l4lD9ztPuzVj9kvxjfGaedqG2zLo9rh3zLoyWBVROTNmO6nm6wp8GEN+4qv+IqbatkCaeac7gBXjiO5J4PGJF8CI+aGHuaejdNa2VYBupTjziktYFzQQf/gaqtJurnDjvVl3TSOOfhki1ob2VutJ20TLdPrun88aF50i/bpRtfSKVVUpGuM7V5l3fuqsXAIF+hrjulwNqTXTRYwNTf2WsEH/bmGlwo6GtP8bNOAZ/5S66V+//M///MmWElOXPMP/3jCvMu4g4UfpvxdIFXfJcmyl/EHmdEXHBSM8BmccOT53ZvfWrG8F8/d9SrM50SJuwhlTnlGQ1HGmB9jtDe2qJVnKIacgs2c7/5zz3Yvx0SJMKFA1EpnCPgeEJcRkuGZM9O+Rr8T9Iy8sonuYbgEqgXb9RizFcg4BLYAwRp0KVsKS4mz931i7hz0dXJOZ3xXuL23BujpgOdgN26/9QUuwh9N2h4QXjaAQYCK7FEcfsNRZf1nmXtGus+yw425B6floKfUi/aW6aNgCmpQ/hmIaFhpu371s4ERcyvLaHHHL0Vtc9LD55Z9UXJtUei+cbd0dr/XJgeaciowU+S/jB54GY6igBRl1+Efb4HD69WKdAcXvOvf9d0rX5R39weVoS+j3iK1JUbLRxSkZzjrnPYcthwWn3Dir4BEz+eo+x3fFWACO3qQF/Pz7L2D/oSD/rrXve6yeJ7OBtnCX2VrORU52hbvSigLXOWgo5tnKinDs3jAdbyvvYh1Cy6eat9ZGQvGlLHTwTmNZYpzXtG9LAB4M9zii5y7ovh4e3WkflrskzVjZkTiF3yuDf3OOLYvTz9wYUzP5ews//ledv3UkcbNOffZeHi1CgTzqgzSeHCYvoJrcy/IS25890wOfM4tfi+bUMl5WTLj5vjn1LZdJNx7FrxgyNhOltOReAF8q8/MJcPZGJW2d24H+BqfTqjSTaCI/IM1I7gDWcuYZ4jmLIHVv37KMlfauU5oeAanPgvu5VyDt8BAsHGsCjo1rnnrlyEMb/oqwFFm2zz942mw4GnPkCOyUHY7vBtXH1WNFJgp21pQAB4Z6mQhx6EAL56Dv4zz5tOcwOZ7axx42vuZbJTBus+gP5FBJwNwGq3KaJO5gipKbuEWH8uIcuTgtrcD5aDjJXJUthUvcuTwg2oJ/X3bt33bxYbUhvPPAfFpj7cxOBvWYLxAp5ZVZfugf3qot9gkh1UYZUPSG+bG8fGJjzaoTu57z3rB/90GlXNOHv76r//6EcEMNpLnckLJQGtJa3f6Of24iZF0OJjTxcktW4yTlY3jN3nSFgySN8Y1L/f8G4O8JBf0ijl1erox2BVkwdzoWIm9bObWGroI7slxawYZ7JVl5NY41gt9GrfXeFkzOtQyx7ctOvDln86rotdagy9aI+iXDssVKMJraI/uaKpPsOV4pqc4vvowZ/94GJ0LlmqXDdma5JP93RkEdEXrPv43N8+Ale9gW+zyhPHKkn/Hd3zHxU4AK1nxCb+eBzs6kAtwKe83Dh4veImf0cVz7Ozs2YKg6F7QGd+AnQ3KWccDYAmPBdFVNxsPz2cjoxW8tJ5GP8+aW69MbN11/z6Dvtb70/xe9JMhQphuy9Z2nWCVzYF8jBCROPmUrc+cc0yBQddxL8KtzAex2zdRVAdT9T7CNdgIWI5fDGK6mHXL2td5W6c8x3wd+NBVlihjsYxX5SKu2zvipFLKpAU9Y/VUnDn4G+k8jU847VpGUPBca6vPrvfZie6eg8vNPrcPHb0qoVn2aD+NaxkulY6bX1npxU3Pg8X1DkbJyaNcK49f47+gi3HwXIsbelJA7R/yTFUBKdFeaePeadhulLnXXDQH7VNgZaAydvHYGYWG04xdn+2DQnPKLIcZzmUHc4hzTHLa2xJwZsw550V5w03GyDrpu/DXbp31tpZ0j5FDLpPReAOuOjgxZyvez+Cuj3ARHdH2fg/649hJR/7yL//yhWfOSpzkx6KHB+gxOqny7RxTn4wmWZ+CT5WPoV2OG/4hLwwqwR+yVglb2SRy017cIt36yFEtG1wAAGwFF1yrlDCHcGUhOOKNMt5+NxfXKunUB75igJF/ZzQwLnqtT0ZvDlmytzqyMW7TkTl1GRfpfddzCMyLbORcgcsYOcD0iXmTtbYi0A++gzsjo6CCscrquZYjWv/GrZ8c8Yy3nEfzyahPtsj3OgBVbBmLwVYwpbkYh47sQJ6MeGOZXyX40RR8+oKPjPgMT7goyxLfFCSF04JIrhUsKoto3JyBzkCBE2uLwLV+gx0MDPSy71VtGFO/4QmflEUFI90KhjLlnrM2NMf0V1vtwNM/GkQ7c6lc1Cf9SObcB2dOhe9lOctsRV/3ctAz0Mte5myS0Xe96133GfQXvOASlMNfyfVpipbQqFqTrsqO6FMf9pQ7wyI7AX0Y/DmceNr+Zzrxp37qpy70ZFPaIyxLmR1UUCjHES3xZOW5ezo/Pu5wtDLq8X3y2nz83jOA0l14qyxrlVX4tKw/J+tv//ZvH/nFX/zFi92sj5JC2sNd2eJNyuzWjmt2ZjaNedU228e8kuMCiVWGJMvsFLoDTOxuziRcgJvcsVvoTPfYBAXEyCa5qkIiWyzdZm6CJfqBoxy/gmuV/qMd3DRn8u43XKTn+RMSJeQf/HQqmMpOcybxVcnFqmrNGQyd0q8/eI4HOhMkp9xc0aVEEZwYM51JV7WFNNs3+oOX7gBrVW9l/p05sAFecH7Zl33ZhTa+WyvRIL8DbvExnma7ldlXZbDnmxjP9kfPoxvcmHM2yOrHZKx12xh4x7+3eMnGF0AvyARX1nXrHJzBB9y0lub7+V31R5W6yaVzA+73oJ/a8CF/Z3wSihhvH82JbL8IhuKsMDwIHqJhEsLW+/N8EroWZ/25VkQcY/tjfHYC8TVwCUqRn+Dw2f7CLe8GO4bYLPpmaxL2ssf6iamMXVaprHXwFBBw/zWvec2FiTMEzqztNWf8nNc6UdeCIRlI53OuE8L26niWcsnQQAvBkf2rJFy7nNbNiuUUVpaSkw6X4cucCCRDavckgiejNjxcc87B4zrab+m16zmi8GleHchjTmXhzxJ+z1UlkEI3z4ICBRXWSffMluD7jY83u1z2JfzBjX/lOb0aMCf5e77ney74FJ3Fvyltz1aiCR4LQ38p1gzHYPBJngqsGBNseyDU6bBvFt/3HHbPWjDRZh1yNDR/cJrnBlDwezyXYQWfaHLvoD9OvXQk+d9qhWhb5nxll0GZ/MG779rpC4+gT9sUyiBq155nskLeyDQdWGaUXJLTsntlKMogVFJNbvRRlh6frHNb5qZIu36T+SL/OXCVr2lrUW+Bz2kt28yYUMJn7jI0VWTU9zo5cIf3ct79Tg9pZz6nLnYtg/MMrnke3B0y1e/Ve3BekGyzxtGN3nFdO3M0RoHT1hUwFuDwnP+yD2iRjixz2PPmAn/pyObSPOHQuJWxZzjhhwxgvEOXk8ucYddywltP4DuDu9JSbSpprFIDLcGU8afvqizgDzw5EPF4zkBj+mz7GucavPTQ13/911/EgyOF39tb734OVMEp48CjahG8E696vkx/bx1hLFY6mU1i3YCH+KmABxq0fvgOVvRhrJtPGS/X4bNXIaFJ+NNOf+DTpi1RcAh39w76E/rRGS2d77B2CP6CY+uYT79Vf5UQYiu2N9365V3bbecqwUIHaSdIVXYYLZSKlzFFj3SYT/Ql764XfCfjaInW5CieR2c2Dlqvk1dQIbnPnkF//VT2nfPV/NMLeInMu06Xf+M3fuON3VyVX/rRZ06OcZK19GKf9V3AL1ynU25zhsgIO0SgI/uDvgwnnmOTV+pfYscn27MqU7IMR/QHmvjcyhQ4q1IIraskZA9lc7amkUX9pk/QtzMC6hPtPOdeFTnaG7fydrjTF/3AUSW/eIp8VhkcbxSIKBCj3/ZR4yk8UzVV6yycCKzjk+gADwWz8x/wNLjBhr/oGwme3lHegZ/f//3ff3H8VVPIiIOdXYa2kj9ohRfQK1uVTmUrgqkARNt+yBO6kh196cfcwWI+vX60AGY8ZMzWeTDr3wF24Aar9tqA1SvYerNBwffkAxxwnn/CDtcv/rh30J/klj29H+ugZ/Ss0+f7OseULOJiGp+YsIzSOujnye0Zn6Arm/pN3/RNl74Rs4W0PY+EulcIZHiUEej3OhoYdo22Mq0+UxKVuoehdf6bZ/dyeigHi4W5ebUaZVX2XNt17LZsfY338/o1J/00Rk8qrhNlngkow6VSLTjMKO55Rg94+4MPCotSSlkmVPVJAfV+TM9RPlUorONn7uukG59CgGc8ATb9EF7KomyFSOg6nRRdZxpseXyLVMaxvtH82iFyVU3koONPC7fr5rWVFC18LVLLN8bQP/zIBHLOy3r7fPTRRy8HG5oP45NS20AJ3DJIRaUrZ9+seYotx2GDWEqWKl9f+mcUwmOyliNwlu57Hq9QnLIJOd3RITyBo3v6as9Twa8cpvsS9yc76PEifUFOMj4LBrrvWs4rPK5OI2v4Au47m6HMZH2QAfzlvhJN+qdy6voru0Nu8ERBmxwqv11HT5/BmXOfQVFpu/vGwGM55MbKgdRfVSirI+mtou3m5dVqZCDeL5NU5h1eNiNfYOHUkWWkVy+eOvrUkZspItPNPSMQbqoGyqA273RdhlBrDz2ABvqqVJAuyYDNqYAb9Ex/blsw07NwWobNnOEZDHRf2Spj0Qv0FppXaWD8yj7bgpD8tyYmrz7LduQA5axU7pqMG5vuag2jr+PrAjH6K6gdLfVTZoYuN3c86xm4ZlQysn3/n//5nwt/tF8R3AU/wAkv5lnwVl90PJyW6StI0VrsOroZc6sBfM9pguP0Ww54GaN4ylwFF3LU6cTWsxw28oFfC47oE9ytg3jhfg/64yXuHPRNkMBbJbvwVCl3NiNcwr21toAh50ppsmu+owcaoDfeiS/wlb5f8YpXXNrit9a2srzoy2Gr0gQvGzP+R2O2k0/w4VG8kqNfSTR9Bgaf9DK5z0nLUU33bHVbeh+f9kaIn/3Zn73AnUNa1VXl7clfzmRZ7jMg2TjrpCcXt3kABQfb303PmDsZ6D3nVf8ZtyAWBxI8BSThiX1D9jlgYKh8vvJ4zwpI0KFVzbQmFJjuJHVOYXu1q2bRH1oL2NAn+tHOff3KGrPJ4cv47qF1QZfOvsqZbd2hF8wbb+GZaA3eKipan/UPL8Y0Z7/zU6pEguuC8WhpnLYFaS9gXXWjZ+keZyb451SrqEB7c8JLeCP8Cgiw3+Hd/Ok3dHcNbuJD4+vX/9///d9f+umA2a7j36q5Wp/0CR/G9wxcVumUc/7pT3/6xn4ROKgSAd7gRh/mba7gosetpyVh4cf73u8z6E/PL79pnYPeyasxfA0q8cupxEDtxSW0Laxl0D1HODCQqFGLZA565eHaeR0PBinTuE5UWdLTSfccRsvBSVGeDnqGyumUX0NThl+GcovJRoTe9KY33bxeq1LR+lrluSWa3b9WtrlwrBGaI97983eLTIrZ556+Xga35ytz7zelhGa2IRi3/TM56dplaPaM/juABzxbcm78yg5znNs71N7rnNAWBp/tPy97bswttXQf7U/nHUzxBiMWH2yghuLMSe96+1ErV1q6lRlxjRLB2+AT9XMoTX945Iu+6IsuJ8aaL/z5BzPYwxlcMfTw9Dro+tFHDjrc6GcXYrikAC0+4GieW/6O37fM33fBMP20VUQfGQwWDI56cgo/PQ92uCHb/j3fIgJecuA07rusXJ+h2ntaj6UjvWYNDdOR6Z6i2Gjgns/0ZlnZjFOy4DvcwjXcolFVC2SyvdXaMoQsfr1CKB25QdOMBuNWzmmCZc/LkIKl4KK2lanllHvmzNYUCMg5L+MOfv1XbWPv4Mc//vGLvOLxDLXgyUHPyTNWa0olj10r2xyRChLktBdscP+2jHp683Ss/SajlTTm/OUoli0iC2QQ3tFhq5fKUGfAwgVZrVS+IFk0raQa/HRj+xbBTlehd1ljcBurTH7llTkIBVjgtb7oyuBMp2TwW9dda80CG3jKABZ8cB8MwZFeyqnXLmchJ4kRXVmtuZUdZ8h53lrfvuIM2qp40Bhc4DDXKkTaNtC6Xbk5XQXuSuIZt/gWn4ERvdrPWSDE/WSrcyHAzpDfNaoqAGMbB6z6IsPwnOGO3mW2ylai11vf+tbntY5MP3IOsgdylskoOULrqjDQCl/CLXzj/6owe3VkB5EVIMcnBahtC9OeLpSRxv8yh2iLrtZWY5FJfMkmyuFMnxlXuypI0B6d0T2nDQ/jt7Kwu2isnkwf4P/0MjnLFoEfFUUq70r20Ot4J/2YvLaGGCsnHK+VNKvqr4BsOrDKBL/hKXukDP5p02kDPrg35w5UAxOH2Djw4HdJh4JfvfPbNgQ4Y3+QKXROh+f8g1M/7hd4RP+SN1UNgMV39Gc3caDRjOPqGjjLSuuLrWlcfIWWnc7ve+ugPthh/BDzy3l3v/e0s/HwAdiqqirADAdtucFD6WT31+9A38rT8W1nafzd3/3dhRZ0WZUZ8PXyl7/8MhfbOSR50A48bUOl/60LHOAOsTN/vIWe5pKtV8A4B7sD8tht5s3JLzNunGxxcIAVjs2Rjahvc5GAErTBz4LHnpOsgvPK8atO8Dx64A34Yqvoj37XH5w5uf4u25DPiUPiKMwV4s0armLCJITBJ4L0DlIMymHxV/a8fee1sWDrt7K/XrFGOMvyZoRhTH/unaXRrlOcCQpG2IjWOnplLmLMnEl9NCbl13zLrGiXw4ZRX/WqV13mXEmH58+o5oMy6Js1v+YdpNjXcN12OfF9no47BQ+e00HvoLj6qgQrp08UtFJxbZYHjKXP5omOOeotDD4pUXgpq7DZ/vBEuClln82BkvEbrnPetY8e7fOKJwr2aFOk96mcdG3hhJLa6Hb4CBawo3POOcOgPVLm7zAaSpQyIitkoEP24IxipLTx5VnebqwO9uv9o+ZknkU4gyces7joB52c3onXjQdX0RBt0c8CS0bA3sK7EcwWFrgKl8YjJzl3wRGfttDf9RM4r8nSF/paBqg96O0xNAadga98ZrBH05xs7crC9oodz2Sc4Tk0wH/ommNPX9FFDIxKeRunDG6vVeG4lDHIANUG/+g7wyonGQ+AV/9l0tG/Mcug66t27cctAKEPOqdMLqNOKR+DAI6KxNc+o6ny0fpO3yWHrre4Lx3LtGeornNfX54z74IJ6aGM8GjX4URlvsuwwnMOao6pOZKbHHRrRsZ0BlNZNON0ui06grkqC0Zncuh62XIw5kRulhAvmI/nyXSVQ65XJeHZdGQOdU5CGUmwyi6ZTxUFBSXdM6Zn6C1wlPVrfQRrtK/kXTtGcycFa2tuX/mVX3nRT3BFR+InfGke4K8UPfp0/gycV1JaJUI6rYBSuEB/+DYOXPdGBYa24DPbw7yyB8hcJa/pePCCxVj6Qf+CV1uCq11rYDLjN3irArF+3b8H/fEMunMIdnvc6rb0I9rDHVsRbeESf3YYli2EaJFTVvWQT7qst85UkacKEz+05cA4Bd8c/FXwbN+Yko1Ht6ZDc+hz5NOVYDWnKmE8W+C8AINrbR8pQAYGMoVH8RTe/JEf+ZGLzOgrHVtJe/oxvVmyCA+uPZVcb1Vktph2VTOtc59+NG4Ovs9shcq4wWveOehVXsFR8lIgA07K0koo5KDDf0mI9BT5ii/YVZVca9s6aj82XkinlJihR80VbPBIvn2WfCHT4OAU8i+Mbb7wQP+U/Gu9sC6brzb6oD+UdJtfZxDAjXvpbL+Vd7ddKLirkivICWbw0KEy42iMntl05si5VhUHZ3SkbZL6wR98HjQxF8+iQ9ue4L1qEJnqEm2th2Awp+TLuObFNidfH/jABy6l84IqnQ9T5l7lS1unqtxjM+Nd/baFAX+p8lzeND7cuUY3+q1d6xH9f/8e9GdhkWZ8iqC0b2QJEKJbhC1IZdxOx5nSbX8LhZrxhuiIRpBylBHTKe4IiOEwPSEmQPp1rQxkmT1C47myqwTaApzAWJRzJsv0gDunZB131ysbTXgrfwzuFmiGp5PbMd/T2Xe+zs7pEF77fS17fpK2+Z19b5n1OullasHefn/4Spl08AbcbJY1nJ7jUx4ZMd0rg1/w43TU0Sm6egYPVbGBH4pSbsAkJ3xPjN9ASg56wQX8RtmWAQk2SqgtAK5RYvAMnqL34KG88KnSOff8cTa+6qu+6qJQGXk5W76X/cLzaGHu4OtguPZdeSY+9v2pHPTgbgEFf/RyD73IaX/mQoYLDOTQwy8+EAnNIC7Lzlhpoa2kSn8bJApX9yXuTz7FnTzRD/ioBTpDLZmpjDeHMSegjAUalQksuFgwqExijh0eZNT0GqB0pGCXa8lOp6YaQ590bbJRyTCDudJlOrGMYbrdZwt8+mX3nDdn1/RVgEdGxcJtIQZvRmpOTH2Gp3irCPvqmBz0nN9g6vfqSM9v0K5+0pGtXT7poIxEz5RF970sLZz0HuyyxcawpjHKzbv1K8PaMxl8BTxWRzZ2+yDLRKN38AcXGLWHP7QRBLS+kdHOkCgAg7fK3OGnylsLRFbpAc4y+wxYsBUcLHCjryppcojRl4EGDrzEyGPsuQYfBSroTZVw6E53FmjxDJjoIPqmQJDP+NJ8weYzelRiDk+tRzkYZa1ap8OtZ8ui4zX6Gd6yY/RPR1bdZN4qpKwt4A7P1hT/5myenocX+M8Ida/AC3j0/Wu/9mt3OkP0LMzDh3o0G9Ihup03ULYcrvBburIET7S09hbQg3t6hL6js6ytBVGs7+hhXauyQR/2oAvOKMPWt/UVn/tXKi+znu1Jd7uPR1RgcN6M77OEEzklfwX1svfKWJMr42ZT4uX0YbrLPNqnbW5k5B3veMelGq1y6Bxyz6RLcr5XP7a9LULUhn3QemMMcywDutnzrYysj+7jZX9g8R3tCkDR6Tno5KZ1wFxc146MwAtZYpOAo2RcVYz6Xv0Ifo6oKogdm72vLbpn7/ikD3aNMx/0IbsOhWNv0X/gattkOtQnmuMj/Vb5WXWOa5xysNJXstkd/osPzM1c4cv1gnQ+wYUXjcEmo/u+5mu+5vJpjlVkwckP/MAPXN57r8IEP5kDR5mOw5+c9QLq8EonVZJe5p6zDh46Eb+C23f9ka3WWDjtN56AE32Awxz1L5BWlZO2xqID0cC/dn/8x398CR54zR76Wn+qHAS/QJr+rQl4GkzZLAVTk3H77O8z6A+lSv93o5QrJqkUeDONlIc2OckZbgk+BtgTuCnYMudb1o65PLvZHI4LZZZhtKW7W6rsWQITM2KUdVLMyv3bsuin89E4ZdfPgATBqcTRs69//esvTHtGLd3Ttsz5bQ75U5GmioKzHVzB/7V+C5KU+UzpXnNilVdRYkXmcqBTaC0albp2fxV6wtaC1UE/YFwH2DM58OFFm+CkBDOqzbt77VFMiS6um1NGXtUOi68W0PbKt69GG3zRXDms4G2LBMVJKVFEZ38WAXzGOKXA/DNCPE/pkQHGZ4GfstEdSLdOur7xu2va+Q7P6BaervFJTvP5GQ5zPLqPTy0YaO6PXFdWZ7EvMLFbUjaT7nrRaTS/d9CfcNB//ud//qbCJB2JdmiYrqu0s2xFZbfpWYY++ng+Q9DinMyUsc44yFDoEJa2tqR7uo9uvhtXH+AiC2UnKwsvo53Dm1yXoa5EkEFmzKLna2R7ppJocDCO8Ym5JX9rgFZV4Dlzbcz4fYOeGxDOMaMLwFJ2aOWkjGvGZsatz4IQ9Q9meNBv61elh2SaIVfmOsdd+7JjlSBmfOkn3Zye3iCE9nRI+/Jy5sFWOWiOtOfgj+wx/NCjstX0HT4zXmWpBQT0l4MeX3gmZzkYjZ+D7NrS1rw5Fe4zfNGRvqBP6EZzUfGmj/Zy68NaDy7VPVVgMD4Z+DI+rumjzGDVA3CIZ4OnM22aY8Y1/JlbTnG0xxP957T02dza3oA3zA9OqoyjtxnHVf6Fm7K6lY5WCbNZT7yjvxx029/usgH6VPbHs72fbvvwhz98s72sJAd8Wg/xO/7iDFWF2PYHnxw2OMX/ymkrX9Y3HuJQpzvww+oCfE7GJCC2wg/PcgbR3frf+kvmyZY1Eq+4X7LHM2fVBvwUTGurEv7Amz7LureO4139gJ1eJwvf/M3ffNE91/RjFXGeSz8tTbZSc3Vn+hFs5HC3+vU8GHr9bdfqo7Uh55ut4xp92XkU5APM3sOdQ1zAr2QZ+DoHgIOuPXzvGqBvuDZ282FD0RtwxAFdfdbBvCXRqvKhI/EHOMGNp/BHwUBj0DfhubnCsXZ+971tPwVbjOE+PtFP++FdA3+BRhWNfqM72H/6p3/6oku+7/u+76ye30oAACAASURBVCb4WaADX9ODytkFDrV///vffzmMT4VHZxmVAa9yS+CBfUjveB5f+O/d8trjK3LCrl8HHZ0LiPkkNwV9q6hLD+Id88YjPtGWffL5z3/+EdUp2nGwO7MKDHgDr+Etc6rKiP8IV1U2hfuPfexjd1o/PidK3E8HfQ2llC2B8Od30W1GDWb9l3/5lwuh2nde1jyDIYei9537JAicI38YBHN0AnzKpHIiv3OyfPZcBnEOe7/XkK0v14rmUawEoD1wGXEZegnYhz70oUs0yf0tD/b7LHF/0EK3ZUr7XEZUz25GKKPvzKxrC/59dV19uk6JVUFQ1tz9cLnbBiiMDbYsvoOprFyGSX3DQcYfJbGOs2cchGFfamVpZc71KzMtknfOzZxz0tuDvnjdYIrrlfjkoF+71snAngWnUqMXvehFl3/Ryv4oqPi+ShCRSt8ZGOD/xCc+cROQqMzOHCi+yvQopk4srbpgs+iudZr0bikAx5nFrlwoJ2dxEe7joT4zRsoc5KSjH5hb2Mkxea3sTd8FGyhgbe2jej4bn3CSAfrYY4/dHESUsZiTANe+W9DgsICk33iHMSgiTS4sdmSIcVFU3sKMnvqgy8iltmSgDILvZQ8EjbQvi5qDQS9bdMsM7f32ZrYHvszP8lQl++aHpwvalTXRVp9kn67A56qvGCC9s10b8ODHHLOeM7/TCV/5y0BZHYn3N3O5WaUcqc5c0FeGwerIzTzp29w8U4bEPHM+4RWe003kpNJ5vFBZuT7711+Of7REh0r+9Fn1RThBX4dOMoDQs7XLGPpw3gXZLbhSwCEDWRs0oN/Oiie/c2pzxNOR8N9WA3NEy/bB5zQr6axCo8yYe2CLT/E1GuOBnHN6Q8aF8eieNvDtmaqBOhC08vN0fofuFbCGL+N5PnkryAPm5liwzLXW8e5l9JuvPrJhzJdMFrCCf/aA9pVmt4XOHMrK4a9sAfxlbfit3/qt57WOTD8K0hWcxisF9cg8feQTzqpcK9CkFFfwR4bZfb/Rgm25Z0i01YfT7R4Hj2MnQIgHrOV4VhBeVr2AWO/4xjvohTc4WwJP6Fq1RQel4UP8WsXT6kfXSjK1ZYleBmc6q+AY/qHL8cef/dmf3ewhThfixRIF6a0zELUOOTxXQbV2w2bQtYfX9EGHwfbs6kd4gavgKYhlPgKW5gSH5KQKL/iFm2wz8tN7ydEVfqsiTDfCcfZ5znM42kCd9QPsVRR45tWvfvUjtpapztKWnhasgeuf+ImfeOSP/uiPLroH7NEbjB1mRje1nz06pv/CdXqp6ihww6nP9o/TD/ABBrz2nd/5nZfzD1784hdfdB0d7D6biZ7B65KVcIK3e80jGGyJsR2IfjSX9B9+whN0L3zj696CoW9Z7xIB7FLjsiGqfgrfrVvpQDgzZ3OKR7uHDp5rnTI/9EVHFc453Er2zQF92C/a4UFwkldj5juYA1qAkZwK2N5lG/I55aBfc8xj7JSu3ynQ7lF4vU+R0jzLnVfJnU5pGdKcq2sZ0vMZbTkXGLQoqDGLrK6jWeQ8h2aNv7LolX/mhFuUGZ5ve9vbbhbszdKcpe47v9u+XwsanG2DbR31MxCwTu1mp/WVws8IXac8o3rHtHDq48yaX5tDpYnuZezn7Lm2meAO4SGY3lXKGZd97gCNzZBHs2hcNn1xkdPuWoZmB8I01vKIBcZYlau3COFRC7mDOoxjkV7+23nDF0cJL1DycCl6u68G6TAbnxaUzkaon7LoOeh+M2LLnFc2dBvPxLMrE30/M+/rsOvPbwsbx9CC4E/0l6LN6XANz7efPjy1kN876E846N5fi24FqMqq5KRbjHPU0RX+LWZlKPANI4SM0pFVXFQyv8ZYmbzKDNO5OZr0dMEp1/yutKzoOfjQlXyAhWGBp3MQyxaVMcoRan4ZPMbRZg/xpDf1rz+Lt0Cg/3gQTOd+853fGorL+1Uv5cg3l9psBmZ1VhmIjK512Jt3ma7KwP0um1Zgg2wVyHU/nCRPzWnLnJsLGqBtJ9tW3dCauuuHZzqZl44S/GHQcSwKQLTGgCOjJ56jQ3I44QTfmYPx6RjzAGsntWe0F+wwPh0pyAuP2hrHb2OAvXLHtr5VVut+uKuawD1jOEjzv/7rvy7je859Ris8dthWWz6MC+5oak4Zk1U2lHXD2wXXl1/AkiOor3h7dWSGa9UpfuvPHMggGQXbt3zLt1xwhwZVGsEXmUcLRmvPBYOxf+M3fuNOG6APY5s8mzY56B/5yEcuNN9qmxzzdGRno8CnNV1iB47RW4ZWZpGDJeNcIMwz0TA4PZ+jXNYX72hXpUw2aM+mk1c/CiZZD/VBD3P0qo6wZm8AFn/ic/Or+sn3qm7Mte0q+EiGXd9vf/vbL7LePu70RbyaDfUw+rGgQfonR2v1Y8772j6u7TjrsMMb+Szh0oGk5kifoEdnZhinKgi4gVP0QYuc2R2nOfmEq7Yg+M15LghQBdfaNNYuv8kdOwR//cEf/MElIFCVDHg827qsPb2yCRD61xzpNrCXnAN/fos+9QMPBfy8NpQDzbYLz3gAzPScAAE4XvKSl1w+jVu7+Aa9wO+fP6ESQcKPzpENp2cFSfCsT9c4tgXlS564xm4tUOI58zCeOaNVFQunftQHeDyrHdy3lrduRrMcdtcLMH/qU5+62JHeQIBn7WeHl+zwAhwc9daRheH+NWvPQrtuiXsKre4yZBB2y+QsZhiqsvfKSRaMcyHDPPVRiXnti9qUPUF4fRbR8rsoZc/U12aDuweuXuXmWs4dBbGOO4W0WYuUQ5l6itUCok1Cm7GVg6mPp+O4X3PAbyPf6ZiDL5zk7J+Biw4zIjQpUG05pvXHkIbzTpy8zTlfOnUiO1hPPgn++m8/bNfty/HXqefwtc4kONG+UjXKqMPkPNdcwn37dBemzaqV4dtxXPP7937v9y77Z/z96I/+6P86VG9pgY82e4538IOFjwxQ9uCkOPXZvnh9gKezANZJz0E3f/PMqWqePsNN388Meb8LPAVzJVGVHIETvB0g1h5S7c0LzHCSsraIWah8iq7TDZ/5zGee18YnXKUjOeiVkGfkkQV0qNLBAlUG2wJKb5QJtwiW9faZkVX227VoX1l1tM24JGMdHFMmUj/pyBbj9BNeaP9dfZEFMsRgcd/z+szp8xmsLf7hwZqQQS3jJOhGTmRZks+CnGDIGVqeXp4/dV8BCNd3q1XtTkM9A6OxwVY213dymFOa09+BQ1UL6Nvz5g12uNh9zWQcXcvQ7jyjE7joBzrV/TW+M5wyKuMP9IOLMk+Vze5bJ8BWUMD4vnfoVKfw5pRom6FV0KdyU+PEG/EdvESrMswMVq8T9Xod2Xvv3tVXe+a10xdYfNIf9EzOAJ7IsCY36UgBKdmgsjhg6SyZHCv3cnD0XbVCAXh4bI3ZNdcconEwgbOgVNmwgkzBXtUTOSgIQpdXvWJ8RnMGaOcTFNTgBOCN+9esPX5IHAcqwz79WJYNnsos4tHOCcA3eEQwKCcuWzHdVBXEBivJ2h6EapyyeL2fet+7TQ8YA01zngpEchrbO50uwAOckBwO97XDt9b1YCXnVcl1aBr+6hylH/uxH7vo2bLc+t8qzYJTZ0LmdNZX/2WznmdAJf/7bG27Bg7w+L2VOAXf4JoM9256MlT1ngxuVVeyt2jA0VTGXZCkQFqwdLhlDnl7zwsYuB59feZ00iFsELTSJ10EXsE/44IrPFZNY66+s2E40IIjlX53VlXBI/TUh/Lxtikub7hXoLNnjIfWTiXnZAsoCc7l8NOr6cf0uj5VkOJ338EloI0fzRFOwavaVCWVufXaT/wkm94ahu+q+rF2kB20av2Hv4Jau3a2TasA5n7S655BB7hmu6ejweLZbEB8YJ89GqKFT7gwV32Cj5yzK/VjrvB876Df5uE9xPXbHPQ1qBDJ74yXBCFlUyZoszo5rjl/GbLb7wleimCfWYclY7FyS4ybU1KZSE5+2d6cGXNQprJ/Ka8t/XOfAnOgg5Kr5pHBu0buw1y7RoKznL7ft2XYu773M1TMswxyWaOCEDnoYECjyt3bP1P23H14LDDh+b6jeQZjczkd9LJMRbWDsz4tmPjM7xzp6IJeldPWf6WNfmewMbqbq2eLEjd3bes7AxqvFXRBY+NYMMOdPUMdLmJBbitHZZzNu4WAwrdAFLiAI7iitAUfWvQq82tRAltnAPhuzHgPrBRbhyPlAKJXwZiNlleiuXx18kUVFvq0GPzDP/zDJYhAube3y/gCBEr2y2boE72NC17zK5t0luI/hGr5/6bJOuiVC+d8lk3M8UZPfI4volVRcLgts5eu9LvSzfZ1n5nWMr8QmpMWr1d9sk5xB11pW5YSLGheFN3zYPR7s44MrozU+NlvcKbv8Bv46UmLscBPcEV0ePGn7xy6DKmCt7XRbr/n1J+6P2O2uW92xjj4PkPYvYwz88bLxkhHugbP4bo1B59r47OsA6OrjBlegOteU2OcAspleAsyrOFZZoZ844eCIDkd8U+4h6N0ZBU+BbK1XR3dVqj4tMx8By7RAzkl5hZeCljkCIGLsejgLc/Imsj4+GMs9vrUDDI4p1foazwH9/iHQcrIBKd+4Ko9/jlFGX9opq3PXgmHJ7WPXrWh68v0xQs598s/8JXhX0Dn1JHwUOZTZoux6TBQjoeKI+3BSGfSnx0SZ87whm7GhhN7Su9yCef/a0W8GXQ8sDqx7+SLnKA/Olp7toIIrt3Dg2X5dp3VDxro5wzcVRlhnuiG/mvLpL/Sn73FAS21QzuwVLIOFtfAyMEwJ7xcOa9+4qsOQ0uHF5yzfnr/s7WUc1bA87Qfs62Td+2yAR6kH89ET4HKSuCDsU+8XtY8mamUnL3CSS1waP69H751Kr1J15PHtjP1yuUCx/SHOQhe9So9c9R+9WMOejqSroJfuO7MDmNmi8Bn5d1VqZVANDf4Z68ZA606Kd7800UFWczVs+hrzvyC9GOVM+uUt+aDD25e+cpXXniZg67yydzoDzZgz/caYeXtnqFz4Yg91WGK+oOvqjpVN4LdfOidAv9t4ajc3Vxt00Q/uPAv29974uONAsY53wVv244VD/vc6th4qHNIbCP48z//88tBdwK24Mej8KcMXiKz7VvpXrwGz/hDMugu68fnRIm7QwFa6E+FDtlFhs6FsLYZE/2uTGgdKMRzHfNudrZSTc/GdAlqznMnuGtTKV9lMQSZoBOydcyDZR21NfoIyMJdppHQcNBz6D1P+F1fZ7l9oPVp0c45bDEoO+Z3BlHfry2cOet770GOO9g2k+y5DCjPVfJOWNHQZyWGvfasSojKmAhsBuB+BpNFjbNf5rVsx9JUG3P36V/f5raZbv2hc0Zbn/gheuZgnxm4pePiynNntcMav5T1137t114MS4dgUIQ5OTnoFAocyCJRMp/73Ocu5Vgca/Nu8S9TZPxK3MHewSrggL8tt9096cbNUY8nyqx71txzntxfR70DTm4zvtAefe3/ofjJhfEYowwdizIFy5guqm0BbBHV1oJz/5q1J2fQc07Jctly3+mksqzRCS9utngdbfyF9trET2iZI93J3MnLlrOTs5xRNGt/Lh1ZthU8+i+TWCkhGOgEOj1HOb1UKbvfOfzpyAwWsJZFwTfGxuPmszoS/+LR9nym1yrJMxZc4kuf+ixDneO9a80axemE2mUUw0nPuFdmNR3ZK3zWaYCf5pPB15YEcMFjZa05CBnD8EvGzAG94DX5sZaQsQIgxkGrgjAFNcN9a8c1uQZPFRdVBVVRUYavCqGtnIAz15vv8qx1dfVJDm187NAjsDMe2wYAZnwEBsa3/jiz5kyvyJLTp4z7ggJlsdBMQAePtKZX/UbXdOq1e3BgbdnX92w1lO859QWhMz6TsYIk0W6N0fgGvZI/upyhDT5bDdp/b/6MTLAXKImHO/Dxne985502QG9bI75Q13cPesHBcOTTPxzmpBTchPuqG7KXNpPc67pyHrWh+1zvNaRVbuSUaIOGYKKX0A3Porm1Oweicme8jefoNTLmN7kVkFp9iOeMUWVAgT1yX/DNPXzkOXzPqWEj0g/6xl+cOr/JGf4p4JONmv4GU3AVsIS/s+plabjBqPRlOgCvt42ne/DvOhlh34Rn9DIWnMA3PKJL+8/JHjqbB5u45Aa89Xo0OoF9oU94hw+/04/wRMekP+EBj7BlO5y0g1PB0WFwVWTsvAu2wl22H7hL5JmLuabzPNt6qs3qx3iziiHw5meUtbfOfu/3fu+FT7zbXtAiOxuvacfu8pw3QMHRZz/72Uu227kiMssCmcZSGYB/6EeVptq4Ti7gy7zxe1UY4O0AOdl186jyLd/DPN2z3mSP7jqQLV3ViXvX9CP+ND7fUHaffqfblbyrPGAPC0A4f0bgocAYnJmPtubH/rx30J+htk25XnPQW0hj6Jwmv7uXM5XDtM72OuOB57kyoZWxI2bXO/ABQdf5rIw+owITrGNe/2X6LPAZWkUOfebAVv5Whqfnr1UOlGEID4Q3ISojBhbXKBlKWGaJwFEy7aur72s4W8d+M/O3ZdfXaU+AM1yjRYsW5dGhHkV8tYFj2VsKpIVxFzptinKHn90i4FoBkaLSZaL0GY/0ipTmX1BkP3NQ8cxWBWwAZb9vll2/p+MfvJtNz4jVv1ewyKB7RZAsM6PMn/1ErlGOlOwHP/jBR5xCSWFaaCjj/jodH1wWIgtw+Dm3fXRwSs/2XnS0yVDMWF/6r1g3lyoY9rCqIvDLF/CC/yhJfGkOMuhL0y0TJAvkDw31Z7FTynWXleszVHtP67F05Gte85obgzJnpwW+jO3+zlggwzm8aLIBKLRHgzJPAPMcHs3YoW8yJF1vyw7DBU8UoIsfMsDAlMFQ1tS9MifojF9yHvXdnlH0z6gBm+fLMtDBeLAAwAZvywAZt0oX1zLcjWdeHDrBIXIDDm2Mo9+2ilSKXBYn/s8Za54Ztcv72voNd753kvRmpzKKfRoLXhhO5lVQD2zJeforXNJvBQfKxqPzlm+WEamUtyxie9XNoXWyfuHXnM7AZY6lefVM2ZEchp7Tb4eudS1+3MBSBmlZSOtAASOGn5JGxrtSxg6U+uqv/uqLsSZLxQFxLod36WqPFzs1Gmx0oswV3YLevQqTTKE1mMIdnes7HFXFUOlsQYoCCT7hFo42CB6OCvxmvGecm2fVFuae04MPfafjBSbp8QJs1m/9wVvBA3gCPzjf/OY3P6915GbQS/KkK+Anm62S4eR15T7Z2gy656yTnDv0KPhWhQUnrzJ2cq2/ytU9R5bRnTOhj96JHa+XQEj+4x3863tvt9G39VPfBRzxUHyKx3K069tc8Uq8mXOvX3zTKekdrpte95zAp8o2mUrODblKf5KPtjgVnAN/1TWrE/tekH+zpHgb3PQSmDh0bANwFlTB4wUMwcBWZNOyZYzpOY6jc3wE6rLBPKP/dGgBin6TsZXjaMU5xUslNIxVdaXtBgXfwFewbD/ThemgMvhVdma/Z5eaR9tbjJN/UBAmHs5J16bAOJ3AOf2VX/mVS6LnrW9960VH+nOqu0Pk4AwtX/va115sMHrQNVVJ+By8dCm9in5o7R69bY3HhwUYjc0uLUgAjvhZn+Qj26Ng7urG7I/W0A6S7twYOKnSrWqL7FCwsJGt22RJsIEspB/3nB2w4G18VfDnrr8J6DmRQacMUhan9YoZcnxXyDMuMOt5vT5OB2uzqJiio/kr50V0Al4JWooyIzTnpKynsXNMM3JzyHMW1xADZ9d3nuuY7/UNRGQ8+yzbso4ghq6sFUyYtINvOHuf/OQnL4v/vpZuHfP6us1RO7PrZ9XCOtdoFl76jIZ7+EpGubH3IDa/O2dg36u+uIkWZWu7Z357BsAeVrJBBO1PvBfgKRgEn+HIONoXFGm8dc7b4rDRRO3C6cKfUXvi1fUy3T7hS5TQnxLI/sDRPmAK0nftKx/XLthOB929nHRGboea7IJTRm6z7J3c3zaFaN4+ohz18ERu7AGi/CvdD34LRpnRcFAmD77I1r2D/kQG/ed+7uduDkfMOIJLvFY1CX3VApeBVMb6QTpSH/5zGOKbyqf1W4VHTl9OjOcsikW8y0qtPkzuMsDSTY3zIB2ZYVwU3rwy4jZjGQ/lDLV9xdjwVba6vb/wpG17OhlkqlXwZVtaqgIq0948MoRzMDOuq1goI+B3cl7wIH3A+AFTGQTt0uuVoHNWBTU7AMknmMpg+2yvtbkkP9Ez+YQLOK9ywHfPleGgr8PfVgiYZ8ZVvJYuQ7MyyOnRdGTbXDIy22Oag5DjVHaooID7GYUMMgE+82rOYGnrEhyhoaClbIoSTPcZjnSH5zrbAO+aa7xgHLpJG3jwyVjMoSlTX3lxzn2Bn0r1c8Q36JiObM/4JgDCGVyjlfE4BtYszpf+ohHeKFiRXo0GZd3A/pu/+Zv3DvoLXvDIe97znss6hjanfkyOyEUHuKYfrWU5wGs3tE6hR1VC5JPdEV3wV+/QLuOKxtZhbTrBPQedU1/FT06/sbM78DSZAQc4C2Bnc/h0fStD04/pmfRLPFIGP3uJDnEvW9R4q5/BBZ4SFb0Xm/2I1zjDgobJWEHYElLGr3Jq9aHrVf9str01oLUr/V4mO1sMXsmsedLZrrNdOG3wZUyyp83aLuiiBLsqmHQj2Suh4bMgmXlwWtnK5LTzksJRNnaB2k0kFjAtGeOZqpbMC061z9bNGSfHBZKso3in/tOVBdqbhzlaG9CKftMvHNAh+jAf1/Gg7TN/8Rd/caGz8vTOUSpJVjCeztKnPgRN9Al/xuS8px8LbNKZ5sDGk3Qyj6qPfXbY3L6Wum2O9F6Bcf2nf6t0qXxeIELW3JaN9Ge81vYNMLTWbbDYvO5fs7Zex9P8vhn0EIwpOiF7sz11vaVp6xx1/QShjERtCQ9F2CEx2u+BF5tZDaYO/tnsYk665z1THycc69Bthj0HMUe0ftZprPy7OZ37n1IW1+6n2DIewGcPs0ibz17NsAomfJdpq98MijXiiqYtvsOJe2WUMi4oFIqwSGHw+aSQyvq2WK3R4zn3GUqVyeeUFPBI6cBZmZiM1nAdjl0H65ajt1BlgDbX4ImO5kbhWBRSWClPCnIXyqXltWBIuNtnFue+Z8D1PGcbTMYvkISvOO/txaRc4aUoZ8ZDfbuP/gyayqPgrzl2LeOcvGQcZoDCn+vobBHb6pXaumZsr7uDi6LT+K+saHurck6iCXiUaN1n0B8/BMnhWfBZRjKnuOx2BqdFL6e8bR/JWtfjg/RZmb4qWbQnZ43BeCiImQFWhjUdiY4toPW/50WAs2BZwYLGT98Y99SRrpUtTH5z1sH1VDoyvsypb6ycPuN14rf+GdEyDmXX8WUllWXutcuhDu854xmlOWarXzNIckzJEDnNyM4B6ORo8wR/AasM1PRxjroxgk2gwZwqnW9LQiWYZfGrXABnDnI6xnj6NO+c6+6FR/Mv657x2gFAcFzVQPhZHVlWaAMdfc94N65/44LVXw56Ot7c4JARRy+B2TOtJRzfghrmxLnRxhj0qHWn9w6vPjc3jr/nGbuVqdJlVavlnNdfe+7L7BV0KihVKWmyUWCm9wgLovsOD4zkDojbCpMyp2WprKXveMc7ntc6Mhvyox/96E0mGQ8w3jlvrSvJGPrklLeFLmcI3vf1sT2jvT7TX/iQQ9EY2u1zG+hOn+EddIuX8cFWBJYpd72qxMbHc+2Nx8P+ctLxak6d6+ZbNtPze/6M+6vH/c7OSq7pI/xedae1oXe4kzuHdv3+7//+TSazIGnVb+QAb6eTkn/8bx456eknOqMAp88CF653yBt44M084aaqSO2zI2RS0RuOC6x5PjuVPuLYy8CinXlld7Z3m941H2PDoeCJ51vrNqnSNpgCHq19BQELLBaUhIe2x+qfvaZyEq70X0DZfNK5aGLMHHljpB/1v1n2xl17DGzGUs4vsKJfzwlY4DdBzc7PwqeqEfSjD9l187fP27gc67LiPpXLu8aWjObWTGOibXvyoy+cF/D1nD6N3YGo2ZLpR/M0DnrD2+/+7u9e1jVz0BenHa+At4NL9YdHC2qgp/L4u2xDPmcy6CmylE/GiNKzJdq10yN7NucvQ67nymz6ndMUY2LY9k9mOCGw+5RgJ7ivs7XKJ2WQ0dbC7HdKtTK1IvAZztpmrN6W4dqsO8Yvk9U+y+aYs15wo/2bN8ibL+FQtuh973vf5bTtDXas8+yxDOnTUb/Wd9cITn3m7GbMt9c/nJ4Zd3OmQMrEnFn0c785QRVw0b6siD5EQTdrnvK+ba6nk1nwxPy3fHONrOi9/LF4Wcf8zJpfc8z32c2uR4NKOS1WIvPmLHppcQJ/BokF6NwSUN+M017xYfGtlHbn5ftWe8D5WV3BoGm/8cpl9AEjh6EDSPTZa0pS5I3hGfKHXuaBRu9617vutHJ9EP9/oe7tIXF4usW6krXK0coMWNja1rIwXNORy1+rIzNY438y5fkyU/g2o7FXaZVJMWYZhK04Sj48m3OH3m2xMA8wpLdOHVlWe/cyZsCCLcMT/+f0Vgq8OtLcGGb0emdTlAk2JnhyttLtyuTKqJArbegy+IHDzczmqFdKm4G6a1jGcHyeExpefOZYu2cMNPCZIWh8Y5R9qQKtLPqWUsMZAxWOCkRqt/v2wyWjqODqOjXpv7NKAJydE7OVQs0Rvnd+6bEyfMujGXC7fm8Gf3Go33CRs+taGVRzoP86PIl+rBRTu7ahoXWGZ8avfulFuosxGK/Qm+F315oM50qJM+rbLtJeYXgquBSvd65I2dXsgIIveCzdWgAcLdw3hze+8Y3Pax2ZfnSYFJuxLRSC+QVhOCjxiM9OEs8xxFc5vptF3wRIznw2JF4lc2iLDuzUnEV0T8d0voDfBeviv83gdk9fnje2MfBeMGtP36J9ZFlCpgAAIABJREFUVZ1l1asC8NlfsmZunXFEd/m+Qb/at/2IbUBe2JKVz5sb/isQSM7cg8tXvOIVl/nCPZ26wdpsp4J5OeqVvj9IPxqvbLI5k1Pj+2yvP3ksiKVv94zlvt/m6tO2mM2ik7POquDcqwrwWWVLwTu2cbYJWFsL07uuNaZnqyBLl6CTtbpEVetg+tGznjO/HHN9rn7c4GgJjGzpM2kXPtO7BRdb090HI8eXjmObGVvAgOPe+tA5CmzvElHB4fcLX/jCy+uLBUfhFp5f9KIX3RyUV5CDfGhv/Pys7F5t8JlKCHjCu+lHtqM+q47iaONP+lDpPvxUPY1P/W7drvJB/16Nd++gP0NrNOWqxL2SmhRPZbQMIsjfzGuKrQUPU20pbiVoRSvPPc4JRcKCYTM8jIWZPENZgqdrCU7weKYSGJ8ZpBkKlXskFOsYZoSsY1f2PnTmXNYGjsBOKNcY0v7MJJ33y4poW2bC9zL+YFMO4sAF0fvTidV2Kwi2FMW9jLp1Ok+nNsOieW4wI5ql5Dajvtn0ToPPsavcbDPn7dNvwQhu4xZkaKFdx2TZuAxJWfGdOyVyOuRLq3XKlw7hhkLMOLjmpBeBB0+Lvu+uU5g+KSP8Rk7g3pgFb3KsFm/RAp4LwMQLGQNbcsS4UQ4VX+2rBtu7Hg59gquIs99l4Sloi0AGTu9BL1gVzjPEW3jg895Bf6LE/XWve91NpqTFrANaMtzbww2XlUmvjtwgKPyXkUeDdKS+4lnGSLxcBnB5Wx9lEsqAro60MFbm1+sxC1pql5NvoTVmTsvK4akTy8Smkze76jlzJJtlGDLM3avqpv6bZ47oOtcZlvojCwWOZGBkAJQkGxufa0PW/IcnsuR+mSJjFDzbrIg24bQgS1ntjMWM5AKZlcdXpt9YlR7SCa1B8FUwLNrAjf/mVL9gBE86Mod5q4022wWusrk5y43RXPodjPFJhlhj9js9UDWX59dJb3yw002VxPtMt9FV+kUP/Ja9gP6MPmO53l7FdHn80P7kHHf8WXBEWzTWxlqk9JOMdXZB5w5oEx611ZcgiQBlTn6VR2CX4SoDyOAMlvQhPCSPOQFo9YY3vOFOG6DP0DR86MeyIb0fmcOcc8mGqfw8fmgPN/y3tYVDnh3SG1AMTpeiafqlIEll6J5B1xzrSsPjY3yKvzjUKtnKNOu7QCd48Dn4OB2cEro95w4MrnGC8XMO+iJnbQXXq7JIP24FoPu9rg3s6dZkquRO/Xc//YifC4Blt9BBqvyyKd/ylrdc9rCDw9jkgf7pPt4teKlNe9GNkS1KH+XAJndg2uAW2KqyKXkA3wVo6eVOg9fW74LDHNHo4x4eME5BNzZLW4L01zoGJnPaAGYJvvhj9eMeILdJKP3gn3C4tPK9QMKJA79zyM25dWOd9MbP98jWNE9zoYfa5mWdwF+qhcKbIIV+8WQHa7aGZkPik3SyT78788C88Cl8KK131pJ+yCY50FZ/+Dz7BY/oR6LJ+Vnxijbowq788Ic/fKkEoL9VHmhzrudl67N9wKTa495Bf2h1+uSGKVclsJvNyTnDVDlGZa3PLCjjqKxRTro2FIln9sAsDF7UbLO4lXV0eEZCl5OaY3dO80El9jnvmGgdbH1spr8+cxTPzHhKN2cKMxcpTjj8TkjXWN/s/GbUz6xvEVvzXmNIqacDeJQk7971lOVm1l1L4azTmzOYMslpXAf3dFLLSrWgXNuPbvHK6cs5t+DlPOcwp6gqIWruLTbrrJ6O9Unvncs67Ntu++j6Zs6fKmvumWSBcjV3RqBFkDLdCP/pkHt2HZ110KtGqMy8k2OXt8uGlw3doEOLp2vtITYexQtOxk173UVmOWT4vAqY9h65Zg45hEV2d2ExL7/vS9yfcNA7JC6jv8zaOnfk2MKNx3Ii0IgeKICzOjKDpCBkxiMaZdTgBToBX+mzDE7ZwTLX4FodHj1XR55VQkW6N/u+mf5THjOMrunISrc3sJpBYVF/kI4sEp/xaa7mDAdgaB3C62CgS3LIHTjHqKgk3jj0EjwbPxk6g62V7eew5pDRT+2hXAPO9/pYPQQXZSbMk9GVDkdHv6Ohscg9vPteIAAscFAGqrlntOZc44+chxzvp9KRGffbbrM53TdmMOX0n8/4XXDBvOmJqg6cTszpQhcZGf3pp61P5rbrbhV0VXAU0KhyAx+mI8FVBpDuSxfmnLXm6KsgGVq05pTZUXFUgJm+ZLiaA0cS/yqZjgboAaatWkoe9FvgzQFRd9kAfYam4UM/lg353ve+9+acAXS37sAt2sEhXLadKplpj3eHTlmzOsgWX8HrbhVrbWZnkB1tja8/9MMzMuZ4yFidhO0590vgJEc+8UsyUGl7upPTRJ+AM17bTH/tkkV8BmY8v3av++TCOPiqoEHOfaX66fICWuTIeGXn0/3wac54tQw2nPfu8M222/v8oQ996PK6QAEo8OX8JlfgKxCVXVDZfs5swYKcR5+tLTmu2WTwAgb6F9466RzdOHnZnn67lxxqK7CTzLWmFCSpxFo7tEmnlEE3j7LFraUnI6/tnf4926QLV8eWXT+rm3o2Xqh/cygYjke//du//VLCjp7Wq4KPbb1Ac9/TOfin7RFnwAgfcODxR4HegoZ4pVcGomU08b2toeZtvdQO/+AL9FIu7zA6f/S5CiYyyf5FC2fEwDuZIWdkszV+k4Hm4jnXbH25y/rxOVHinoOuHI0CefGLX/ykPa1luGO+FBrGy+irzR4alzHa3g+E90zZ5M2Ot6enDL7PDJU9cC2Dd8t/wVUpeiV/+7txwVPWKNi7t0JatOssU9/S7tqbC+bO+MDAxs64S4nlhJfF6VM/BTRyrHcf/WbYHdql5IezvpnoFq6MpWArG1523PV1UDPo91rGZ2cHoEOHoZ370hlBGSqE9qxQyKDzmSNa5naz9+HAZ0bQZr7P76dC3Wfq4+k65fWJLha6l73sZReD0+JRlcCOm6O913LCXSuaCDZ4W8V9ZizXqW+u4bLnTke+DNGJizUou7fBGQtEC2L3T+elDOO9g/6Eg/6mN73p4hhY2ODP3rAcFAsoemTMVObpOvngOKA5/VE5IB1RQCbDTf/o5zqabIATDTNoKz+zEJ46Mj1U2XkLND5iQIL51JHJ9R4epw2+7/yDPewxfUNWGJXxj+v6SjdntIBBm8rjq0DJ6MXrGXkZXhlhPt0zTzKlf/zZHju/yakxPKsUj8GrDV6H+9amskHBG73Su133LNjhPB25Rlu6JUfA8+hfSWoBFQGFgpf6gZcCDmUGV0cWZLFWVKkQL61uXH23OD714Drn5z3PrVO+geF9Ljzgn4IvaGK+jz766IUOZCJDU7vG6jCm9Ix+9VEQu8CF9nDpWbyBlm2TKDjs2fY4xtNVMoC9rGjZwbJu2RraGCfabYAafAUtyBZ+8vxmxuIDfYAlvrw/xf3xMzqsFegqqaBK68d//MdvspRwq006zWd0EixuTzrcoz/9mmPKiUBDBj9e8xwnRB/4R1awIBunwZ9rdIBANbrrU2ZScMaz2lvj8ewmoDj0BRM7KK5tlvp1zXPtneZgXivN19aYlbOXRXfdHLJ1k90SVPoHG57vVbaeKYiQPFknqqxLTvAq3c9eo2fN3W9y1fvL8e6rXvWqy4HF+65wsgyv6Lc2TPJaIiYnHt5zGrfUO72R/WCuYEFfeIOvEnraCoyhCzrAQXZJAdn0RusJ/V7Cp0qFnPi1bZNt/aTXCjBki/pcPbfPuOe5dcpXF1zTj/FZTjlc2/6idF11Dn40hv/bKiYK4BagQXf96Bsu051oFe+67rtn2/Jhrtke+Du/gA5DL/fwGlzCo/sFDFoTziBteg+/y7Sbz9rF8UFretvbPvKRj9w76KeR/rC/i346gVMURbaWUnnpS1966eJcxMqulDHfTK3vZwYnZz1h7iCsFJX+i+btnvOUZPPANJRCTmNCtsGABLDPnOQt5c3ZSci1zVhdIxPT5kCvYGb07t6oFKhPgrXtXTvbnrTJEauMEtOvE197c6WMwO5wiXe/+90XwU8Z1m5psHPKST8d9C2N32x2RpR+CeU6565xFvY005M+2qzDvgZpSjP+2Uwd+P2Gx5Oma6Q+DI+nmDZwcS2DDt/mR/HYc1Ppalmi5p5TXimn6zvHzayBL8d7Ya3ywHNlYTMSzhLjsmpL265F55y8xltcurZ4b2EwbhFwir2tCPHqvYP+BMXSkUrc7fWy74se+fIv//KLsWchCufwW1DSNbRZHXkGVcoq5QQbtf2DvltwyyTFo5VB0pEt5DlbpwyiKxj0X1Ye7GWoV0fm4LhfBsYzZdnp6bKYYEsXGbPSX/0ay5jg3QzTBhfK0iQvOWVhHU+uEVR7fYKTDNHbOYquZSAwBBmfaGPvOsPePNGFA4Ae/us/HQlW4+QYg8W1grXuZWCZp++7RuRcNGf9w1/77HNOKv/Thzbwl/xHA9frJ6M5Awlcyb75X8tgbNvF4zX8FuCJ7q378RT+owfT2YzqfRUVWhd8Mg/zge+M+A3YNK8cquDZbRetp71uqAC1vstK5ZT4Db/Rvsyda3hqs+7ZLsGQTQJXGcGuZZga15zxWvoQD/yf9u715dpt7OP4/fcob1D2VtktZRcRIqSwLLusJPsUL1ZLIpskJSERRUQ2ieSFTa0V77zwTzx/wdPnvPteDuOZ171DzfuZ46qrOed5jnNsjuMYv3HsxjjVE05qfxvoNw30Rx999MBEZ+rgx3vf+97D2G27QvQujR3NzdG5t/zUQVXmL8M5R1GH65IThifZZOSRM3jJOUBGBZvgQH/pmgz+jAhzsvp793kRyRx8eF7WS8YO2dJvBqXvjOKeb9629QYGzEOOGd6eK3Ok/pUhyTlUJD2nUdvVKht29DvnqXJkXl3pqmUSkVnzgi5nv/cf/vCHG29605sOXDRXzWG8wjv1hBvJur5oBx6l47qmvDqME63KNCpoVsaN0+jnNlh9Z7DjXdF2fSgtvjGWEaN8hnsOW9da26ZBmREaDujD3Iowy94OH8tUmI7FGXzxvLozvL2qV6RcHxjO+l+qujF1NkLGN5mdenQ8T6dQ/3yFqjF3fpHnOlgxejHYO+/A2kC+o7u6Ye263S3H09Qha7+1pMyEaFf03dhyOhfZzxFuTm4D/U4slWvKpHw6oTjhUfQd73jHleE6jTb32pNelRkcfs/oTQoOAcsoylBKCV2j5CkHTbwiwEV2mkxFdlKC9HEeyBWYE9AOo1HnajyvUVxlMs5PGXLz+ZUud/NbG2u0uQhQClvAmJdqGvopdMDNe2ilzPBcr+NLkcsIN77Gpb/uV1dlfM4011451qIW32fGQ9kIgGqeWJ5CmxK8jlkfZiaBvuDZLLemxq9Ooyna0zhdHRHzd2BNZnh3gU2nWaqvLA7fgQxALiqmjbz/Gbnqc01ZtEjRXqfdNOCrt71MtZHCrQ/kHj/MF9czINSb4Z3i3CIRDYo8tWdrRsgCbIqPtCYH+qCzdGFtlTZ47u+w/Deg744fDSOluOMVpdKC9pKXvOSgE3lvEUsJLZ2xRnqNSo7NIkoZC3jZwpeh1F5ai3MLYFhQhHfugZ/bHrR7JxgZ/k2MXHGvMnNuhZFzLibbE4NW5+HqPEoZmczIECP3RU5ca95p2zyYRnkRphwg+ERRMaf1ET7y+JNzyqe5BeOUL7oVDqX8Td5oX1+ViVbNW/zHB/jYlhdlPUPh1E/9oHRngEyMNK4USHTI6C7K6H4Y2LxXd3T2vVTXjO1TKZqenYbxHGfKL1oVaVZvThm06mA+93M8FbmBJymt09mg7zk+cq6Uhj6zTJo304BPmURv86l6kjO/zQ1zMEdnEb94Wl/qR4pjRlRbC1yfSrYxommp2Aw92GicorT1Ba++8Y1vnHWE6I6B7h4Lho8PP/zwQUNzjNL+1a9+9ZAlabhwoDUT7YqK12SvGnUPvvpsa5bvni2aWQZkr58SLc9ZRh9SXlmfRaGt80XQ0yG1qQ11tw9+GvT6rl5j6p3o+tscr+/N3Ylt5MT/zPKs/Hw+unRPe/ozjaMZZGl+G0PzyLPhIzlOB/G9dd5YPeO3+uBJmZHG/s1vfvPQIxl2OYSjaYGatqSoJ17oj3ldxFb9sNgnzMMDxmQ8av0K9xno+s7Rgu/4oR0yFJ/Qd0b1w1R0SlcqowAtjLtsrTAPfrWdrMh79U8D3ffWtDlO9aQfhyXkQjvoxSHEsULetI/H9EprjnrIewZ5mJQjWH3uGbc60a0M2alnJiPRzmfZGJ5RD7xuvcYbdEfjtgjob1kVYb7PnAs5g8NH9TPmXe8MAfeUJz94Y+vnM5/5zBu/+93vjmu2UpD7XtHpFXA7xf3fBNeHHnro6hUWDzzwwHGE/9yvo/pSPq67Pg9AmopbAoVpa8TdPeDXHr4mVEIzwakhNqGKCK39yUkwI+kznX0lVelxE0wDvAl+rgVSs4457rVuYwM6hHz9m4ZpxndK16l7OUJmBLbJrm5RdcrD9773vasFZ7Y5jXTXTzkgAN26T3Udn8kebRkewMf4eg/zbDOaTh7laa2cfgHd+bem70/DdvIkOTkl/qeM9emwAKi91xww1lc0KDI+I9rkZKY51maycirlvSi5snMMOaoyote6VuN7OgmK7utzDoKMF/UErr7P1F19T85ky1gEnADqmv1GzjnAS4u5P3vWP/3pT581uN4j7N3VY9OJaUEyp+31twAzujKW0d33UrsmH8iO6zNSPhUBHcqZ2DYacpVy1OvWMhQbwHQw1t50FLadaEZgcmqGtZ5rzk/nazjbgqx/8xVBEyObrymF7d/VF/+lNaorBaf24RnFBoas0YyJWW0hmBgZhnWPIlBEjrKgLb8pMOhKWTEnverSvQ6Fis5Fh8LVdR3zWz3o1GE7ZKL07Jxg6k3RVq5XnulT0Y3wqUhzfUgOikShSTiRQzXnhDpcy/BOPvyu/WmUz/V1GsPhqDbVOR1AZF0fjb29uOitv63pRUk9W8rpNLq1lfFctDusCjeT38aQ8VJae3rEOtboWDm/0at9ydrpkLhwdc4VvJun6+cswzMZapRvfbRW2B9L6S2i6vd+D/rNCPqb3/zmQ+8wB1/5ylfeePDBB6/Oo0kW8AQ2dBBbOGYOud75AK43z6ejzFxqfpMT3/GbEWg9p5dM/JuOr6kPNL+Leq/nJHXOTLjWu9vJxGrYGZt2lG1u6386kvITH+c+9+hSRkq/k0/PGpv1mazNv1UfLeodRjcfPOO78tZ8TghrPDk2L9CwzCJ7jBnHH/vYx662Q+lL+Nq2rGgwnbHKlYptjB12BjdylMaDXlVrjtNZZS3a76xPMiCmHtMrLwvAFRX2bEGTZEIfCvK0FSpH4DRc40lO8akLT/5OR+fMlEt+ZAV4HVoOY04GdaFnkewwv3W07K3WxhzSxrw62T0Da9SXbITrZQ613zy5V19O/tpUNx6gpXueISc5Pjt0bsVHz7edrkAPWVAH3ZExbpuTtl/84hcf66osVLwk8+7vQ+LuSt3818Ipn695zWsOcAUq9k30XtoZEc/7UvSkRT0v2qo0rpHOqbAWIS3VvAhB3q8UgupMcTy1b/yUET/bzsA85c2ce8XX6HNtT2Cfad8pSyloKQJz/8ikdsDZYjAXD+VMktIpZ7S8/YgmXvy4HcsZ605VtV89+sw9OJ5vj77vvavWtaLg0zA3oef++76v19RVBH7uu5oOB2VmylEGe8BcmhVl+rq/6egpJS0AXqN61YF+QLP9UPoJ/PzG47zlp4zw2Y9SzI1pysY00Kd8e7bfKw+q13Ug3/01FTqDfs6HjHMLCj50xkEpWfE1mWpc7gNmwAtUpQKWwt977osUvvWtb90G+v/cVEA/8pGPHBjJkHzd6153yA5adio1JQit26Iytwu0P23FyFORzhQE84DMFh1Uf9s+tEOmyEXli5ZMb3V4MQ03ffC7lDW/S7sOo1IaMnAzIouSTkN6dWYWWYb3KUelB6qvSHIKSf0JP32W0pfc1x7aGnuR7wy/jDHtzTG7r3+lUKIl/KWsiPJ5pzB+MgzgdsrHdCw0d9UL04xPfZQx9aGjf/XmbPQ8jEoJKhuiw+fU41kyEh/K6tHfIjMpmTmCioTBPPzWhyJJ0dFvz7e2hSl9ZizEt7AvwzxsyKlC0cYPNC66n5G8Olvih/EaWynmOQySA7LRelw66pRtWDwVWGMrihptimA1p3o+RTblE/+0n/PFc2GksjmxWs+1DeNLzZWu+vjjjx+8NSb0YAzipfFcuhMzHdK2SO+Shz+/+MUvrs4SILN42dtOGIloF14V2Zzpz0VMi9Ti8epQKhpr3hUgIHf4jMfhc9ihfd9P7Rufclr5nFTaLsV+piI3f0pJT5amvlG/Z/ba3JZU5p35XaaU9aTX2qJVc0pdOQAYsuElPKrPjHl1FmTo2V6haZw5H7oX3phf6rIW6Ivtrgx1fcAPdaZnTMdCfIBF+JquyMHP8dBcFiXvILSco21lzdnZK+3Ukw1SW9Nxra8dOAhHYLkx0nfTk8mF62UEoVffZ1aT78YX/s4Ie073DH91o48tAh0syXHSHv/kFp2Nca6x8UgdpZi3zaF1Kgdzhvlcm8vMTJcOe6tX/9EgfIN/017JoI+e+KR/bSFoS5HneqWqsvjauleWUeuw+t/97ncf870tXjJ5OTPRCfY+8sgjZ61D3heHxEnXNJF46hyOhfDzlRfTkCgNrmvTmJwK6DRqMqx9BsRFTaexZfHNkGgv22qUzihPi/zcS6ldk7mIf6l19aeIefdnFFoZdU0vbO2vRiY6dGjJjBS3OAQoM/Ve/UXAM1LbT6mOlD+Lg4WkE03n6zfqW4Z7htikd0aq1yE89thjBwB1wIjxqreISG3U3xmVK/Jd5sDMIPBd2Qx93/HSBJ916FcRoDWVMyN+dVZMpd+9jHg0Ysir3/+aMq+t6OM5/cFnC16nK1PO0aP0Rc/MNPpAbZWLDGDl40fRmhYpsqtP0xNafRbGUxHUqUCr27iKMq1Orgm4k98z4l50rfvd0840znmtve5kRleBa3/kwn6qc05PmjT4b32fKe7StuAPullkU1ha+C1oGRDxjozEz+mkTGlLUWqv+DxToFOQtZMH/1YY2eJbxCRscD2MVE+GfxF/cpUjL697hpzy/lzPIUWOw1H9P4XlypqDFm5lMlJri1yVqbLusVsxUlk0KL219EAYmeLd3r4UMeOZuJLzwXV9QA+RHONy0uxUDoscoA8lsnTNDPAM1daaeKwP6iYz6tBndRR5IhPWkVIJm/ueL5Lb/Eczz7puDs/vfheprhweKINGjMj+ikRPAyfe5RT0ab7ja1G1trl0Anrrn7FP5+SUafeKtonWFCklj3ioD/odRppLOTNyDPdMGJ9xX7Qs+WztSAlWvmhf82DFhJ4l/83JZLr5aPyllup3J4yX0cBYL62XY+dDH/rQRWNk+CjzkjHuFGgZmehofpGJaSS1RaWASNgUxsSzGUEnA/M94+mmZd3AD/KlLtiQ3mI+Fv2ufmV6hbBr5rdrjPDkUnvwQB/gBjlN3pRtDpQRUFQzWVJXOpC6GIr+1GOeZlyZd7LZ4ECO3qLZDONOkO/tLNGmLQHpjLNsjkJ9kxVnndeHXn+XjlEqdjpF227SH1w3DtFQDukcjumLGaXSuEWS0SUDfG7FK5PJuPCwdGvlozEeaV+fYaVncvI1rz1H7zLm1jfflTeffS8T1++5zUVd2sZLuPTXv/714E8O8mnstoa7XxaCseMdo1xdeIZf6kMj7elHB4L6Hl7NII4+Zr+U+u++9SXnK9klt3gKX3KS4xenhwwIfcx+CVMLVOGv7wVdfG/tVleBt4nbnsnQN24ykK6aPt2aYb6ji3/R8mc84xmHbPScNwbkeHL6O8fdOeuQ94WB7tR2IMFjRvAAoAWMsJSSEThgbMwM9Pp9KpodIPgMUHouxS7gSnlTX2V9EjKT33eCoHzG2Yz0zsM4ijjNyPgsW1qL+0Anxbg+BfLazLhNKQpITMy5B7/JuKYfpYBlyM9oSXSdTgHXMty779kZlXY9Q3EajBmWrqHBd7/73eM1G+hXlD6QXY3xyR/PWlhmtLzouOu+T35n6OU4mKnrgYXJre3Jk9XxUZQOSACFFNypbK3p5OvvTjjNEGnRwX9KPXkCgBnSKcozzTSADbyMp/1j6u2VJ9PBtCqE06C2D1Y7wH3+ZagUvYsnRdUbS2lcgDNZ8Zkyac6UEuxajq4caGRneu8pUnni9YfSknNJJB3f7S06Z3Bd6f3f+J0C6tAjTpY3vOENN5544omrfXfaRLe5CE6MXI2FOWeaq3iH7+HejCbBI+XCyIyDFSPNKfxNAcz4bVEmz9pOhslIOLpiZIt3i7v5RZlqf2F9It/K5gBsjyOaeKZxtI0pGvmcGGks+hfWuG+c5r5yrS+u53Byrb172nMdfnluRismRpYSiw4p1U972tOO97qK/jmPIUW1E/JbJzLC0S+jGZ6EkeQk3hg3WfE7HufMMwa00b77OfeKpphvYeSMjuBF48zJQu6K4OuvOssYyAHZtRUjrWkzWpQR5RplURuUWs/BhvoHY1ajNoycUS79aA970eacUdNYak1Tr5Ry7cOlmR2iHnUo63rGclH1IqfKwGX0T4abi/3WDjlZDf/G1BjKrFAXWqIPvhSp4gShWH/gAx+4aIwMH5/85Ccf8uKEcKmtjC60Qu9wIENo6jphQrI+t0B0zWcYNR1xns1IL3W8LEDyN+c+GWHc0G/NpbkvmJEVPpr/vls/1Wl8cwseoylZamuHMqKqnUjfe9NLTdZn9Wozfdozpcybb70XPoMURpUmnROus3G0H74rF50aQ+sgHaczhNJZ5vkonpNibr755AjQfhlH5tLTn/70G5///OdvfPaznz3eqy3jzryjx+AjvoSlGegFrtAPVbDUAAAgAElEQVSPUYkO+ER30b5xd6bDzFhEH2MLS8NR13KSmnccAjmvjXVmcqaT54SDFfqIb2GhTzzVXtc6Jyba6a/xoEdZCvqKB3/7298Om4ADRDnOirKppn42MUx/Shf3Xbv4o+4cTKfwMZvFXDK3zA+HMaYv6G9Y1FbIHNNhFdnTb3Tv1X3TgZCunaNhZqrlMMZr41cHuUcvdiMHUE44343HPJDNwKGhzDnrkPeFgc7T8c53vvPwfhI4gpXXrgU0QQEIRcRnVHF+JzSzDAGYUfQMIuVSPJsYtTPLuzeN67xHrmd0aN8/QVpTxJvERbf8ViYAT2nOQKl8Y88In96wFPNpFKRErdHXNZrTM5WfdUyFNK++a5Utsq7O6JAzod8zzd4r9L7//e8fTRhzZf1uMVTXNMQtMBbb0prq3xpBn/1eo+zqmzxc97J7lpxNT1+/jXWmdccHoBxN1JeiO/cQqVedReGLkk1jtG0GFg8e4HloU+lJc2z1cT0gJkMEiLmX13HNIJiR8Azx6q/sNMyLHjU31pR3Y7udY8CcS64tAC2EOcEArXFNhegpT3nKsdj/6le/OkB4p7j/8zVrr3/964/FBo85WzoIpshwSlNRHJihLEMnPGr7RrynJJirRTKTIdcnRqqnk3onFs75pd3SkpUhQzm78ui7Zm6Rn+swMqMnHKXQFplwbWJkqebaCyNTMHNMZFBnKKVYpBillOjTVPai0an9gcpOw1cdYbvrFAQKXSl581yAMNKcQAOfFCXGIaXTmMq8abz13T2KGWyzdnRCrvLKRrP24CsXHdyDkWWRlRXg0zyf2WXTqWP8nstIyUGNVmFGDg2fySM6FKHKsM2wyNmg7iLmnqPEoo968VwdFHLjRMPS8qdDKjyujxm/+ttaVvZHbeFtctiaGlaVZVC6aM4b8lKURr05FPQJDYvaZAS2hufIj6Y9l/PUdddSsEu5Js/T8CijRNQI7R2KpM/7kLibW4DgmHfC2xLwxz/+8ZBntEJ/dMKXAgPmURHCKferIk/XYbhmsNFLGNOl3ZIh8tEZD3iOn/PVZ0XQuz6djwV0ilSST//6ujpJ1U1vgBlzy4qMPoZ/c8Kc7xwXNEnfKupd6nzyODM5yHVbMsjbdDQW8dZ+Y9Cngj6+z0BZuJuRmMNfGwxLh3uZA2hYir16+90+cfUK8nzpS1868ME8Lx0/TPOc+o23tPV//OMfh3HOSJ/llYEnnoFPc17Gx/naPTLg+jxpfOKj+Qrrjd04Crj5Hoa0NhtLB+GhgzF2EG9rpTLGpc9wAa+lbKMzOwkGuY/n6vj9739/nP/Ua8vIQetHzid1Gqvy2o9PeOS7PpSt1faGshDidZ/6hAcF7LINtFtwrACgOs05fUvXC6/rU29XCYfDT3wKv10z7/Q1XQV9zS3yi18Z+TKwtetsDuVhwjbQpzVxF9/zfj7nOc85Utuf//znH8CZoYQBM00wI6t0h2msTyOk+2tXVqMbCKYAKguElGmxzsibSml1EtAW2fpl4k8DvajKNJiVpVwRqhRZ7SXUKaBFWzybga0/GU/1cSrS9W011KPh+kzgbMxNhqlEZZhWn3L64Pr0Qs/v9UFbDE/RUK8+Kc2q+9PraCK1eJp4gf4pY37Wjxar4V2aZTzL0NZ3/MpQXMemfGWrI6ULuHgevYqgTAU9Y1wd+FbUuRRKC+uaJtZhKZ4BbECWJ1Kb05htvNVZJCpjvd/TqIrPxlvflOMAQy/7u9DO/Z5b6dq9qSgo03aBPnsuJ8KccxkgHcyTcS4tyaKmL+j6xS9+8QBeTroWMeN7xStecdbgehdQd89Fw8iXvexlx8EoHYJSdBdNKfPmUApLuFImQ8b6dMgV7Zhe8zz70yDHI4tonvkwd2JkxvuavtbZEhkgZBH2FV3QT23idZkYpfYV8VFGv4uqmCvmSH2KDp5XDj1cKwqVMwCuKbMqjs3j0sankqmOFFJ8cC+DCq31NRxJESXrRVtnFozvGY1hehliynt9nramYlxEoj522BF6wcii/kWxM0RSIFOeij6jZdGwDMf2mXs2ZTHelg2A5slJEa6Ma/1Fg4z/HIAz5bH1IeWSLJHJxopm2qIIe065FF2YCIOKrOt3abjGM9PdSz9VpvRQZXKQoJs21R8utoYbg/GLRBqD10CpoxPwo4n6PBt+kgs0zEHi0+8y4qZTtYyPlNBkwvjaz4935o1tLGie3DPEje+Nb3zjgZkdXsVwOWcF9J6B7w4fDB/JlLf/OCzuz3/+81UqsnWXjpfOkt6VTjSN9bllrTTy8CCs6rTv9lKrj5FcZJs8dvibZ6z9nWeT4Z6Ole5ZdgS5oi+lu/jEf+Xap56jgWNfxNCffhtHWXZwpYPrmoeeJz/mTk6gMmzaCjOdljm6kntyPLMWfTdHyxYxxunkythOh8vwRz/GYkZkeJzzK4x0PfwzfmewpJvHk7KqeobRj5b0cPMjQzesDgczBtEELdp+2Nx2rcwi96KvMZKznMtlbRZNz4AseNGWI7SCI55HLzxB3/S8qXeiGyOZDFlP25NNP5ZBoGyO7ic96UmH3pgj1pkmZFHZ+tZ2MGPrtWi9jqwzBeBHWQZlNRUoos/mgLYmv+hFLzrG8rWvfe2Qhw6hbh1MZsuow2/9mfjoeTxyfQan2l40nSbqNbeMKweVup1bps8FGF7+8pcfPJOtCz/ND22+//3vP2t8vC8i6CKsiF40weJm8klv8dci2sTM0F4xnNAT6tKRmvyrYe45E6UIwHqKd20CnAnQ04hpMq99aGJ3PaPQxCoF8ZRxqHzXV4M3I9xnUZTqT6ExETg3ZiaBiVtkee6zVA4I9Bl91a2PMzU6pW56TWu7fk4nQf1BcxNf6pL33EfT6XFF//Z0u186C6D1t6a3T1rXZnuA3Ju0BwIpR9cZ5TlFqjcjPpDp+jT64xPZakGPby1w6JdhC0BW41wdDPS5P42H26Iqfbm/xrAaw9MhUFllUnqTTf1AA/3zyXP9pz/96XiliVebxBPjmFH3lf+zjVXer/uNFi3OZNKBcBY7qWXe551yYbGQZaGsFF//ZMSctCBdsvKJtimg3/rWt465QpbJSWm1aFkq7/RCZyiqY414tKjBtmS2diYWzr3eXW/O+8SzlLLZRsawtlOOXGuhn06hoql54Ksvgz0DvLqmEtg8UEcKrPulNGeQF7WkFFB8imyosxTYIsl5+MPG0j+bExnRPpUtSpHxPh0eOU30qWioPhfFKrqnHz/72c8OZaesh7Be/8yRsgVyCsAU40C36Xx0v/FmjIdF+qpsf22tKgLlMyxTt+eN0/zNSZBBqiya59jV7jRwolN77+NPOO+3MRaJoXxpJ+OhaHdptXDe2uKf0V4qsfs5jrU1o37rmoUOaDmNbbiZYQ8/Raalcv7yl7+88ZOf/OTQQ7SRQyQ+ZmzPCJPv8/qUhRw7zcfmapF5DmzRX/3hrCnyl4xwqpq3lFXrhr6i18c//vGLxshw6+c///mNv//97we/rKFtEXjVq151rCUwYabV0pfaSz7lhBFT1DwHCRmHG0XPk7EcSuZMAYhwzid+uRc2NO/cy8hLLnqOPGhrBgCKhIf5YYNnMnyTq4IuMCYMLWhUdghd0DwIH5tzIs6ys9pSqU5l6SHoVaRfu9Ksrc/2U9teUNakeWld8DkdUUU4wwt1o0sOv7JsiuLrP+OtMy3e8573HG20NQAN0qc5NcLFdEi2g/mhHx3iV5ZK+KgOZfBRu8bV++D1j45StB1d3U+nCWvSzeIX3rW1oDXDPe3MLDT16H8R5OqPZ+rtoDP443wu2Kee9FH96wR68m2toiP89re/PXAETTkcyaY6pjGcM3fqb2jr+caIP+GvvhgbHDJHfL7rXe86xop+8CinFzp18Gs4l3xmhyTvs/3Ktqaim3HgqbYdCGdu/uhHP7pha5iARdvbPve5zx2YKfgjBZ+8mi/nfo7RfWGg22MCWDEPk00KwmXiuw5gZ3RmGs1zD/Y0tNZU9ZTdUwZFeyGLGs6ofYqh/mTEUC6KTk4jp1SoNfW+NvUp5SDjsMj/vK782oeuKU9BNxkDeZOboAaSRX1KSwKwGfaVCVB6BZvJ0f65QKd0F31LcWtvelkKAMV4U/x8aldd7atpUpowxsVzZyEA7lIYjWcagUChiHrXczasqesp5BMIPFNqagDjmn61p69o4tz37pnKZ9S3eOUVXeUnT3DyhvbqiXaBdHuxPC+SDSwpWinJPH546jrFEODOLQD1x/Mtdr6veztnhHuOkdInumAuve9977vxla985QpU85YW6SyiSUaK9rmW9zewBaRlu6TIRx+/i1q4BkwZkwx093g8/QFeC6zIsNM4lfPnWR7ibaDfTOH86Ec/evA9Q8UiCQs4euChOZVStM6FXpOWIqp8hw/hbw5M1zPEw4f4OTGSLJQO3n1tpmSpx/eUDnLlu7lGXlt0kw9zLJyd22XC3GncF/lXXh/CYTjgv3lP0WLIaStnkXbaXqLuHAnGkzIdLXJEKJPyjd7wT53aRcPmufpy6LY3vfUijFQeXTvtNjzkkMTHzi3RNrmXpumUXrzNaa0MPneoWg7RlHBzy79nctrhR8ppRmPKMToae4qi/jXPS+HNgFXWmDo8qjUBH5Qt9XHKhO+tT/pdpKw9mGiAxj57Ho/t84QLZL83XaBrciZKWspr8rE6uHOgTIeMstrJaMuQMQYRKFl8aP62t73txg9+8IODzzNrLIz0fLTM0KnOAgTNN7RRB5zt3syucM2zZIARWAT4ec973pVij59PfepTD+WUE7OsgE996lMXjZEZ6J/85CcPGScTMIZe4c+2IPoHLGBIFMmb6/h8D7rr+JoBn3Fure76dLxUDxlNF6VTZUx3n5yRgdKAydU8CMvcaK+4+Tj1kjCZzGgHzviujgy2nGk5PLXbmp1jtKCCOejMC0Z2W0k6P6RgQlkhYYntN+ZNaf7a0Q8y7iC3dC60pOu035kRHwYYv74oQ69PxzUvYCKao3fnauAZuWcHkPm2kxizwI/XanGkwS54gX7oph5bCvVZG/G8rRBobX2AodowjrKTJj62LqGJ9tJL8EA7Rc6tr+l3ntHuNHTxr8yfGURCu4xZ9XUgJJqTa/qS5/x2P6cs/jlYm/7MAGeka8M2KfqU72wqe7BzFhhja2vrnnp87yyk1mB0IcPGpF1yowxcstXOmSmCKs7DKUODLKrPP97iYY7pnClFzQuc5cDpjJkCSq0z1o0wM2Ob4+XHP/7x0Y6sCu1bJ8jyq1/96uMcMwfDlYG196BPpLvL74GrRYZwFtXtwA0L0kydmOnMBCvgOrW/eO1KgDdT2KfRhdEAgDARxgRtpg6n3BUVSBmabRGMUltcn31roZ7Gbob6jKo3kUwMQq0/GdLqtNBk0HdYWH3IUJqfGYlFh0phpRAAF+NWf2nX3Tf2PMAz6lB0CXgCpJTUW7FfH/SpRQydAL46jJMyZOL1p90WMNdmuntpagFmz6xGd57L7hunMmQA+FQ+j2S86rcxA4iM4CJEGeWTv5WZKeE5Q5QDrujrj6yTJeMu/Y1hXnaBPdhAB0C5rg+TFsntlF/fS5XKSC+tTeRcqo/oEMAC3ICd0adMqV5FUwHnPJthpq+Xat+n8awR/RxHk0/mK8eEa5QnKZxowjFBBoC6PzJnMSYfFtltoN800EUQ8ITcWvxhADpSTMheslxqW4strEL7eXCVexSRjPAcnhlJ5kd4lIwpU0ojeendpeQYj8poIfMt+s3PvPUpirC1qKey7VEvIlRab/LQfMugn1hdFMLcKWVPewwd5ck0zMkgJ9spqs1tn9WdgY9exkXhz3FpLsI6CmZGXhiJlupJwet1WJ5Ft9Jbw9FoHsZ4vpR3tMlB6dN48f3Xv/71kf1izEVYXC+SPbfg4EvpkCn0OdS0ndEdRjaHMyKM3Vwtdd/aUYaa59GxfYrhx9y2VKq7cjkHkiv3igalnJNT7bWfE90zQDgqjIF8aoPswzRyn7NAn2bUJodQfdKP6tNmKfDKqUeqqDMvZPNxmFCynYnBkYnn5EO5svIy9JtfGTTpJfNMlJnZklKO3mhAgVYv2pIvBz5piwEFoztAiwwXwEBH9/Dmwx/+8EVjZDrk29/+9mPOM2qcdG/fLgPmpS996aHL5ayZaxK+MCTw5NRbg1Z87I0KDMDWOHjXFiM8JL/ulc1orVWezOE3fmrPtfQaMqovZDhsgh9haYZbslX2iOcZZLBqnnNhnrTnWN3WCeM0j/yZS5zfZN8YOyysyKV5Ej7DN3VoAw1bZ/RJHznUGa/GrX5rvAyG9m1nbBfkCR/NN89a/7XBCE+XaH3yiR7hG/nXD+2iq76Ym+aN9hlnMs1czyBGb20bJ3q2RdEcTy6MN2Mxo7s0cO13DX3gjTlPb2MYtxUgvT9Hjj7AULKAfr4nK8YFqzyjXbQqNR9vOxxOHWXvaAeNyDcaiqiTd+NxIJp+Fv1HC1tiOE7UjcZoqHx6QduM6pN+tD2TXFh3cvKW5cgo/8QnPnHjta997ZHdLDrtEw8aY7xSX4Y+uulT9kfGf3zLwdoc9TvnPDxEJ/ykc8jERGM6svbZiBwHdCIyUbSdc9N3MnbOOuR9EUF/+OGHj4Xp2c9+9tWBAgSJcGI8gZleyzzTKXDtZfU5PY/t85ipd54pvT3FlrCaxO1VyjiZ9ebxnpFME3Ua4Hm+tDEN0WnImXTqN6GKfuRV71N5fTPhmqyErf0y7hcdL82nSHzR+wxiCwHBTQHzmSfLsykdeUbRrFScJpi+6keOieg5T57UXgZ3IO5ar7mYKVtog57r4VMARPuM0+985zvH53QMZKRrx3jRfkbn0SXjtD5knPc5MyFOlSlddJUZz6+Gsd8Z/RmYtbOmtmeco71o9m9+85sjPdFz6sgLjV5SzSig+FD0Z7ad4o0GM7KZ3BS9REv1UF6A2Atf+MKje/rC20qBsfioJ3lJBuf4G2djyzNvYc14nwZ7fMihlVeevGWYW1Qo4aJWDz744FX2B6Ata2ZH0P+Z4v6Wt7zlWOQsOCJ8RSVLtQ6XMgBmFD2cKo178oqMhAMTY4vGu08+OqjNIkm+8L3MJvNZ+YzbjGFyYD6VXppc6I953T7y6VzISC99vnTwDEVlYUlZJHALTpW2SG4pJepRzlgz+D3reoZlWR6UreansRbF6aC36tAW5UAbaKkchR9N1AWLcrKVIj4zvPDMuGCAeaYvfnfeCPq7Ziwd3GMOqQu91W/+KFOmDXzHGziQ0e5+URfXWu/wi1xknEbLqRB7NgO6jIQZVVI2+SnCNDE2gzgDmSz490wRdOMzfmWMiTyQE9/xGc0YqDDSa8SiG0UTFjFOeya591kEJud0ER3j134ZHUWlXNceY8GrnLzuLszh+CIXeJ7zJoyMtzO9WN0p+sm9+jN0XNPnykxnqnrImvmgPPnFU5htrDCSYpoTFh2Ux89HH330rBXQdf39T//OQEcfRrk9+tYWc6ooWg6tnGIZovWled2BYPO1smUMZoRXBx4lq/hnLSMneGMOwKS1Xv3JEZcO2+Fj4TW+ey7Dufec62u4VjZNuK0fGYpl6WRYWuczZpWDKxzg/vQ3IywnW04AuFG6uogpQ0if1AEX6CuMXOXIrb7QWxiOfjOilWfE0uPIbqfYa1s/0FL2ZPqBsVv7lTdfMxoZ2WXe6J/v6kdPdcLC0uqlN+ujiCqnNhxRL8zThxyfGaN+4506e9WcPpCBaLniYzqXOZ/xPtfOUsob45T5spX0SRsZ5OTLWDpPBDbrG7zXhr7gm36SMQfn0Zdf8IIXHGsS7JR2boyyEWWocpSQzYJh2sQbbZYFpx1rWGsx+pYlZu0hawzzb3/72zekkZeFKZVce96YgN7qMbYZ2FFPer820TUjPeMcrdKdrYvZC8aJZ3gDb40JPY2FUwAt0IBcfvnLXz6i6cbhOds44abycGEb6PeIuoErL7AJhgmErcg4gW0BXg2mGT2cBnAR8pkqmTKHuaVIF/HJCD81hNJCihxkoM6y00DvNWLz/oxkZ0C5luASYr9Lh8xgKhrkmVMR6ozjDPPK5UXLUC+KZGKgZ167DNkiApXvt/pSpAJUE1x9GfjG68/EnN7mIsOVX2nbKy9yBGSo5xBQ3jX0NoEBBMD1NyPpAHLycWZbzFTv0jfbe9XiNPuV0pmxULTH74yP6ZwBGsapHf95aKtz7jsHOvMUdwseQ1SbAGZ6VttLxAgTCSjNvXrjk9/mQBkeZUk0T9TTgTPallLea1M8ywM5gSvjqnZm1kB1u1e00fdkbzpRXDeHJ608T6Ekfz55gf2JRPrvcJfShNsuwWl3zuB6j7B3V4+FkQwV8xEWoK05RDbxFB8oM+FTyt+KkeTUvbahmEvk1vPq9Nlinvy7NuWzzpcCXvr4NNbXAc5DytovP+UjjEzWzYsydyg+6s6wIWsZlsZb1kevKiptT/96vVqe+TCwdMX2cKNBymcKgbLoo+0wMcN+yntGoDLKdjp7h9zpQ4rmdJL6TsmEc0Xe41uptEU5Jh6aQ80J89qzeEYpUR+sSeHJCAzH43dOHL/Nc5+lXnq2A5bQfGZa5OhJWZ5busLIsiW0kbMCL5OvnAVoCe/VYTzoV/ScHBgL54P7lHzPtb52qJPxWe8ab+MyppkBkk6gXrxIfrQHf5TXP/qHseFde5nJ5jxYDC9Sxj1XpDz5bOtXTqrWE+PL+aJMByJpD53ilX4oZ55rB1/QQkQ/XETjZH+nuN/MMHJAnL/nPve5h+FijqOptaZ518F6zbMV1zLeekWhuVymAznAS3Oc3CiTI0t7ZcKFfUUF8ROv2xPf4XITRzO8WxPVO/WwdJmy83qFrTJkpDMZjLcgERlzvTKirxl/OSgYx/AuJ6i5wQHMqPVH3rStzgx499HAM+aIcYXlOeynHoZmpUkbO7lWp2g7Jxg+6U+vIcuxqk5GZpk0OS+bfxwE6J6+qxy84GBjwKIVh4328eYLX/jC4egiK0WSjcH8VXdOspx4aBEW4l/bMM3D1g9tTMO8DAvYRm46vdx6RidqvTGGDGH8gZ36hT+tYzAdHqGpua4PxqZe/GAY4xOscoCs5/RRfdYFvEcjTs7GGz7C2zLtzIHeSlAGEr5rhw5rXSlt/6GHHjroSq/03Ne//vWre8YU3nsWXbSTzt342oqVLpK+akw5X3zSCbPb1EumzE/rnzq9glcbnEJsAw6D9Bp1GRNMPvdX9d4XEfQPfvCDxwTh6RNFz0CfykYGw5yoFjfCj/ml7WVwz3Q7wlNKEqZjZNF293omhaQovM+Mk573bHta2q9M2AlQC6j7RSJTQjJoMrAyLEvdKyKVJ7X3wa/GT8Bu3PpkwvSewfYxqQtw8SKViqqc8eTB0i91uNZrCqZinaLhmrHlSJhR/mksV6/yGejabF+hsilGGejtUfGMeqfxX4rQjOJL2/nLX/5yxUv97kCT2ZcifOqd+2sAskW6qK82XOs3/mV0FzVLocs4ncZqtCG3eSrxJON8prQrWyQIqPQH7PAp+Wovkb54XYxn8FC/SnOfxvjsT2BnXPhlrIxc9YvAatdY7WP01xjrS3PMb3Qpel8EcjoLMqpSYMxF94vYGUdOC/TAXwuFMpwS/kSu9I08pHSTF33Xlx1B/2cE/ZFHHjnmOfpSOi3+KRilEJvL8SgldGIkmmdkFdlrUU0+4Sh+u1+UAR8zFidGZpxk+JjP2jXnUgbUUb/L+ikKRU59p7wUbciYVNa/MZZebJz6qz9FS3v9inGmaNZ2e71hQycmT4ykaJWCmkGesYQenQ/hGmWtVPHmSxhpbqIBmTcvprMrRWQqHymhndQbNitblI1jEs3LFtAmeqFF51eUummfp2fN9Z/+9KeHYptBUWQ2x5o62j/qmRQpfPIdHfFiYqRxpoy6pw/6liMl2of96J1TBC20l2PBM/rd6cjaUWfRKM/qszG2rlNEU+C1oe5Og6aMkwHl0SojZkbLyUoykfzoM1qQc8/rE93Da4u0C3t7jc/EWJjod46teJJhnaJpzBk1YaSy2tE3//qsHHqiP6XaM/CPUwI/OHIZGowM7ZZNoYwx7Qj6TQPd+oZW6CYFl1zgMbnBX3QuSoiu6SvkEx+UwSc4kcHNEJh7hjPm8NjcVbfynvO9jEe/rdk5xDNOwgLP5lRtm5eyZL/oeQ5XfcV/suG7/sI1dZEbMqU/pWQbi3KuecYamq6Z87K5UPTcfKOHmKOcBWSNbisCy/CRIg+XwpKcTowodfhnbJdpEj42N9AD7dRb9k5letWZ8U78Ng9k/+lPEV78CD8EMPCpdSJ9Bg0Z/2imTuWf9axnHfoEbJC1+MMf/vDqHBRj0K+iv2jUWpCDpu1KGfLz/e54UbQ7Z4m5rd/oUtZL62yZVtkQZebSifAOFnqGQ8Vch+mdT2Es+snJIXgTJju7R+ZAmcYwTZYmvjt8FF/xF3/aytH2iTK8kokyRbSt/8Zqqw897TOf+cyxBUgdjz322FXaepiLB9XXVo0CX/iCPtbfHERlWZEP9MEjcq1v5I/zVFkyQufJoUQWOSXUZ8vXAw88cJxthC45WvQbL+3VP+cgz1kb6O3LIEQxub04TWDMS6GZaZszXanvq5ctJbW63K/+655XtjJ5gmaf8ozOtjxTH2cUpKjy7Pc0grvftVPlZpnZ51lP112b3+tXIFBdjaHy/b7V9bWvs2x9WWkwr6/9qu1Jx2i3tlXZVTZ61mde8kmDU/w+1Y9Jy2g2ZWa2P/s2aTBlTRuznZVWU0bW59a+zN/zuTk/rpMvZWbUTrkiOX2f4137vcpY4yh6uvJw7V/8mXIRr1oQ1mf6bVHy3k+An2PiVrT5/3ovjOTEnFlBK47Ez+kom3PilLzc6/0wMvmaCu9s57rrU15XjLzV71P9nTLe99m/28lFdSbbt6LJnEsTsxSWs8sAAAPESURBVNfrtxqf54oMnOrbxJfqOVX/7Xh3it+n2r2Oprej23V9n9hwOz7cbn28jlanaHRdf1vDmxd3QrdZ5lQfr+v3irWn5ujaz7WteB5Or3Nt/qaoet/vJWPk1CFbJxh6U0bQMqdUW2XCioyFyl/Hjzmf2gaj7Knnla1MGT6zT62Hnp94Pdfn8KgAjfpaO5MBZbpf+cpNOZuydJ3sTt1y0i4dqnpzRM15vsp9z/ds45x9bQxlCrTu59iadKns2q8Vs6e+Mcd8incrPnq2LT1zHdFmvJx2xu3w8ZReV10z6JZu3hhnG1OvvQ5Xy0yqP1NGTuHvXFMaZ/1a11K/k7H62TzKwdBYqne2P2kw6669eL+Oc6X/bKt+xN/m33ymvtwPOuRZG+g8JKdeQXU74d/3NwU2BS6DArymZSJcxoj/dZQbIy+R63vMmwJ3ToFLxsiNj3cuJ7vkpsAlUuCc8fGsDXSeDukjpWpcovDsMW8KbAr8XwrwjPKASh2cnvNLo9XGyEvj+B7vpsCdUWBj5M1sx61D3pm87FKbApdEgfsBH8/aQL8kYdlj3RTYFNgU2BTYFNgU2BTYFNgU2BTYFNgUuGwKbAP9svm/R78psCmwKbApsCmwKbApsCmwKbApsCmwKXAmFNgG+pkwYndjU2BTYFNgU2BTYFNgU2BTYFNgU2BTYFPgsimwDfTL5v8e/abApsCmwKbApsCmwKbApsCmwKbApsCmwJlQYBvoZ8KI3Y1NgU2BTYFNgU2BTYFNgU2BTYFNgU2BTYHLpsA20C+b/3v0mwKbApsCmwKbApsCmwKbApsCmwKbApsC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       "IntSlider(value=7, description='Kernel', max=17, min=3, step=2)"
      ]
     },
     "metadata": {},
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    "sharpening(['dataset/noisy.tif','dataset/lenna.png','dataset/igrejase.jpg','dataset/peppers.tif', 'dataset/veropeso.jpg'])"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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