alphazero/alphazero-TicTacToe-advanced.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* changed by nov05 on 2024-04-16  \n",
    "* [make sure `$ pip install \"notebook<7\"`](https://gist.github.com/Nov05/1d49183a91456a63e13782e5f49436be?permalink_comment_id=5024206#gistcomment-5024206)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initialize a game"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ConnectN import ConnectN\n",
    "game_setting = {'size':(6,6), 'N':4, 'pie_rule':True}\n",
    "game = ConnectN(**game_setting)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
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       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
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       "            continue;\n",
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       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
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       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
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       "\n",
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       "    toolbar.appendChild(fmt_picker);\n",
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       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
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       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"285.6\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "from Play import Play\n",
    "gameplay = Play(ConnectN(**game_setting), \n",
    "                player1=None,  ## red\n",
    "                player2=None)  ## blue\n",
    "## remember to click on the \"power\" button when finish\n",
    "## or other games can't be played"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define our policy\n",
    "\n",
    "Please go ahead and define your own policy! See if you can train it under 1000 games and with only 1000 steps of exploration in each move."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Policy(\n",
      "  (conv1): Conv2d(1, 16, kernel_size=(2, 2), stride=(1, 1), bias=False)\n",
      "  (conv2): Conv2d(16, 32, kernel_size=(3, 3), stride=(1, 1), bias=False)\n",
      "  (fc_action1): Linear(in_features=288, out_features=72, bias=True)\n",
      "  (fc_action2): Linear(in_features=72, out_features=36, bias=True)\n",
      "  (fc_value1): Linear(in_features=288, out_features=48, bias=True)\n",
      "  (fc_value2): Linear(in_features=48, out_features=1, bias=True)\n",
      "  (tanh_value): Tanh()\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from math import *\n",
    "import numpy as np\n",
    "\n",
    "from ConnectN import ConnectN\n",
    "game_setting = {'size':(6,6), 'N':4}\n",
    "game = ConnectN(**game_setting)\n",
    "\n",
    "\n",
    "class Policy(nn.Module):\n",
    "\n",
    "    def __init__(self, game):\n",
    "        super(Policy, self).__init__()\n",
    "\n",
    "        # input = 6x6 board\n",
    "        # convert to 5x5x8\n",
    "        self.conv1 = nn.Conv2d(1, 16, kernel_size=2, stride=1, bias=False)\n",
    "        # 5x5x16 to 3x3x32\n",
    "        self.conv2 = nn.Conv2d(16, 32, kernel_size=3, stride=1, bias=False)\n",
    "\n",
    "        self.size=3*3*32\n",
    "        \n",
    "        # the part for actions\n",
    "        self.fc_action1 = nn.Linear(self.size, self.size//4)\n",
    "        self.fc_action2 = nn.Linear(self.size//4, 36)\n",
    "        \n",
    "        # the part for the value function\n",
    "        self.fc_value1 = nn.Linear(self.size, self.size//6)\n",
    "        self.fc_value2 = nn.Linear(self.size//6, 1)\n",
    "        self.tanh_value = nn.Tanh()\n",
    "        \n",
    "    def forward(self, x):\n",
    "\n",
    "        y = F.leaky_relu(self.conv1(x))\n",
    "        y = F.leaky_relu(self.conv2(y))\n",
    "#         y = y.view(-1, self.size)\n",
    "        y = y.reshape(-1, self.size)\n",
    "        \n",
    "        # action head\n",
    "        a = self.fc_action2(F.leaky_relu(self.fc_action1(y)))\n",
    "        \n",
    "        avail = (torch.abs(x.squeeze())!=1).type(torch.FloatTensor)\n",
    "#         avail = avail.view(-1, 36)\n",
    "        avail = avail.reshape(-1, 36)\n",
    "        maxa = torch.max(a)\n",
    "        exp = avail*torch.exp(a-maxa)\n",
    "        prob = exp/torch.sum(exp)\n",
    "        \n",
    "        # value head\n",
    "        value = self.tanh_value(self.fc_value2(F.leaky_relu( self.fc_value1(y) )))\n",
    "        return prob.view(6,6), value\n",
    "\n",
    "policy = Policy(game)\n",
    "print(policy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define a MCTS player for Play"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import MCTS\n",
    "from copy import copy\n",
    "import random\n",
    "\n",
    "def Policy_Player_MCTS(game):\n",
    "    mytree = MCTS.Node(copy(game))\n",
    "    for _ in range(1000):\n",
    "        mytree.explore(policy) \n",
    "    mytreenext, (v, nn_v, p, nn_p) = mytree.next(temperature=0.1)\n",
    "    return mytreenext.game.last_move\n",
    "\n",
    "def Random_Player(game):\n",
    "    return random.choice(game.available_moves())    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Play a game against a random policy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute('tabindex', '0');\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;' +\n",
       "            'z-index: 2;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            'z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"285.6\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\github\\udacity-deep-reinforcement-learning\\alphazero\\MCTS.py:72: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at C:\\cb\\pytorch_1000000000000\\work\\aten\\src\\ATen/native/IndexingUtils.h:28.)\n",
      "  return game.available_moves(), tinv(prob)[mask].view(-1), v.squeeze().squeeze()\n"
     ]
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "from Play import Play\n",
    "gameplay = Play(ConnectN(**game_setting), \n",
    "                player1=Policy_Player_MCTS,  ## red\n",
    "                player2=None)  ## blue\n",
    "#                 player2=Random_Player)  ## blue\n",
    "## remember to click on the \"power\" button when finish\n",
    "## or other games can't be played"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Beware, training is **VERY VERY** slow!!  \n",
    "⚠️ Don't panic. It takes about 2 to 3 hours to train 600 episodes. You can change the code to enable training on GPU.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: progressbar in d:\\users\\guido\\miniconda3\\envs\\drlnd_py310\\lib\\site-packages (2.5)\n"
     ]
    }
   ],
   "source": [
    "# initialize our alphazero agent and optimizer\n",
    "import torch.optim as optim\n",
    "game = ConnectN(**game_setting)\n",
    "policy = Policy(game)\n",
    "optimizer = optim.Adam(policy.parameters(), lr=.01, weight_decay=1.e-5)\n",
    "!pip install progressbar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\github\\udacity-deep-reinforcement-learning\\alphazero\\MCTS.py:72: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at C:\\cb\\pytorch_1000000000000\\work\\aten\\src\\ATen/native/IndexingUtils.h:28.)\n",
      "  return game.available_moves(), tinv(prob)[mask].view(-1), v.squeeze().squeeze()\n",
      "D:\\Users\\guido\\miniconda3\\envs\\drlnd_py310\\lib\\site-packages\\torch\\autograd\\__init__.py:266: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at C:\\cb\\pytorch_1000000000000\\work\\aten\\src\\ATen/native/IndexingUtils.h:28.)\n",
      "  Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass\n",
      "training loop:   0% |                                           | ETA:  7:38:55\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "game:  1 , mean loss: 31.58 , recent outcomes:  [-1]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "training loop:   1% |                                           | ETA:  4:23:42\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "game:  561 , mean loss: 4.28 , recent outcomes:  [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "training loop:  95% |########################################   | ETA:  0:04:08\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "game:  571 , mean loss: 3.69 , recent outcomes:  [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "training loop:  96% |#########################################  | ETA:  0:02:42\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "game:  581 , mean loss: 5.98 , recent outcomes:  [1, -1, 1, 1, 1, 1, 1, 1, 1, 1]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "training loop:  98% |########################################## | ETA:  0:01:17\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "game:  591 , mean loss: 6.86 , recent outcomes:  [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "training loop: 100% |###########################################| Time: 1:25:59\n"
     ]
    }
   ],
   "source": [
    "# train our agent\n",
    "from collections import deque\n",
    "import MCTS\n",
    "\n",
    "# try a higher number\n",
    "episodes = 600 #2000\n",
    "\n",
    "import progressbar as pb\n",
    "widget = ['training loop: ', pb.Percentage(), ' ', \n",
    "          pb.Bar(), ' ', pb.ETA() ]\n",
    "timer = pb.ProgressBar(widgets=widget, maxval=episodes).start()\n",
    "\n",
    "outcomes = []\n",
    "policy_loss = []\n",
    "Nmax = 1000\n",
    "\n",
    "for e in range(episodes):\n",
    "\n",
    "    mytree = MCTS.Node(game)\n",
    "    logterm = []\n",
    "    vterm = []\n",
    "    \n",
    "    while mytree.outcome is None:\n",
    "        for _ in range(Nmax):\n",
    "            mytree.explore(policy)\n",
    "            if mytree.N >= Nmax:\n",
    "                break\n",
    "            \n",
    "        current_player = mytree.game.player\n",
    "        mytree, (v, nn_v, p, nn_p) = mytree.next()\n",
    "        mytree.detach_mother()\n",
    "        \n",
    "        loglist = torch.log(nn_p)*p\n",
    "        constant = torch.where(p>0, p*torch.log(p),torch.tensor(0.))\n",
    "        logterm.append(-torch.sum(loglist-constant))\n",
    "\n",
    "        vterm.append(nn_v*current_player)\n",
    "        \n",
    "    # we compute the \"policy_loss\" for computing gradient\n",
    "    outcome = mytree.outcome\n",
    "    outcomes.append(outcome)\n",
    "    \n",
    "    loss = torch.sum( (torch.stack(vterm)-outcome)**2 + torch.stack(logterm) )\n",
    "    optimizer.zero_grad()\n",
    "    loss.backward()\n",
    "    policy_loss.append(float(loss))\n",
    "    optimizer.step()\n",
    "    \n",
    "    if e%10==0:\n",
    "        print(\"game: \",e+1, \", mean loss: {:3.2f}\".format(np.mean(policy_loss[-20:])),\n",
    "              \", recent outcomes: \", outcomes[-10:])\n",
    "    if e>=500 and e%50==0:\n",
    "        torch.save(policy,'6-6-4-pie-{:d}.mypolicy'.format(e))\n",
    "    del loss\n",
    "    \n",
    "    timer.update(e+1)\n",
    "timer.finish()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute('tabindex', '0');\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;' +\n",
       "            'z-index: 2;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            'z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
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       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
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       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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QIAAAQIECBAgQIAAAQIECBAgQIAAAQIEshMQgGTXUhMiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBCDWAAECBAgQIECAAAECBAgQIECAAAECBAgQIJCdgAAku5aaEAECBAgQIECAAAECBAgQIECAAAECBAgQICAAsQYIECBAgAABAgQIECBAgAABAgQIECBAgACB7AQEINm11IQIECBAgAABAgQIECBAgAABAgQIECBAgAABAYg1QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECGQnIADJrqUmRIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAhArAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgOwEBSHYtNSECBAgQIECAAAECBAgQIECAAAECBAgQIEBAAGINECBAgAABAgQIECBAgAABAgQIECBAgAABAtkJCECya6kJESBAgAABAgQIECBAgAABAgQIECBAgAABAgIQa4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBDITkAAkl1LTYgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQgFgDBAgQIECAAAECBAgQIECAAAECBAgQIECAQHYCApDsWmpCBAgQIECAAAECBAgQIECAAAECBAgQIECAgADEGiBAgAABAgQIECBAgAABAgQIECBAgAABAgSyExCAZNdSEyJAgAABAgQIECBAgAABAgQIECBAgAABAgQEINYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkJ2AACS7lpoQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIACxBggQIECAAAECBAgQIECAAAECBAgQIECAAIHsBAQg2bXUhAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiDVAgAABAgQIECBAgAABAgQIECBAgAABAgQIZCcgAMmupSZEgAABAgQIECBAgAABAgQIECBAgAABAgQICECsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCA7AQFIdi01IQIECBAgQIAAAQIECBAgQIAAAQIECBAgQEAAYg0QIECAAAECBAgQIECAAAECBAgQIECAAAEC2QkIQLJrqQl1SmDaaaeNf/3rXzFy5MiYbbbZOjWscQgQIECAAAECBAgQIECAAAECBAhUQuC1116Lf//73/HRj3403nrrrUrM2STTEhCApNUP1SQkUAs+3n///YQqUgoBAgQIECBAgAABAgQIECBAgACB8gmMGDGiHoT4EOi2gACk2+KeVxqBqaeeOt59992obdCjRo0qTd0KJUCAAAECBAgQIECAAAECBAgQIJCCwCuvvFL/HxhPNdVU8c4776RQkhoqJiAAqVjDTbd1gbnmmiteeumlmHPOOWPChAmt3+hKAgQIECBAgAABAgQIECBAgAABAgTC+ZpF0GsBAUivO+D5yQrYoJNtjcIIECBAgAABAgQIECBAgAABAgRKIOB8rQRNyrxEAUjmDTa9oQvYoIdu504CBAgQIECAAAECBAgQIECAAAECztesgV4LCEB63QHPT1bABp1saxRGgAABAgQIECBAgAABAgQIECBQAgHnayVoUuYlCkAyb7DpDV3ABj10O3cSIECAAAECBAgQIECAAAECBAgQcL5mDfRaQADS6w54frICNuhkW6MwAgQIECBAgAABAgQIECBAgACBEgg4XytBkzIvUQCSeYNNb+gCNuih27mTAAECBAgQIECAAAECBAgQIECAgPM1a6DXAgKQXnfA85MVsEEn2xqFESBAgAABAgQIECBAgAABAgQIlEDA+VoJmpR5iQKQzBtsekMXsEEP3c6dBAgQIECAAAECBAgQIECAAAECBJyvWQO9FhCA9LoDnp+sgA062dYojAABAgQIECBAgAABAgQIECBAoAQCztdK0KTMSxSAZN5g0xu6gA166HbuJECAAAECBAgQIECAAAECBAgQIOB8zRrotYAApNcd8PxkBWzQybZGYQQIECBAgAABAgQIECBAgAABAiUQcL5WgiZlXqIAJPMGm97QBWzQQ7dzJwECBAgQIECAAAECBAgQIECAAAHna9ZArwUEIL3ugOcnK2CDTrY1CiNAgAABAgQIECBAgAABAgQIECiBgPO1EjQp8xIFIJk32PSGLmCDHrqdOwkQIECAAAECBAgQIECAAAECBAg4X7MGei0gAOl1Bzw/WQEbdLKtURgBAgQIECBAgAABAgQIECBAgEAJBJyvlaBJmZcoAMm8waY3dAEb9NDt3EmAAAECBAgQIECAAAECBAgQIEDA+Zo10GsBAUivO+D5yQrYoJNtjcIIECBAgAABAgQIECBAgAABAgRKIOB8rQRNyrxEAUjmDTa9oQvYoIdu504CBAgQIECAAAECBAgQIECAAAECztesgV4LCEB63YEOPv/111+P++67L8aNG9f3/1999dW+J5x33nmx1VZbDemJzz33XJx//vlx7bXXxvjx4+PNN9+MOeaYI5ZYYon45je/GV/96ldj5MiRbY9d1LhtFzLADTboTigagwABAgQIECBAgAABAgQIECBAoKoCzteq2vl05i0ASacXQ66kFnKssMIK8eKLL052jKEGICeffHLst99+8fbbbzcdf8UVV4yLLroo5p133pbnUdS4LRcwyIU26E5JGocAAQIECBAgQIAAAQIECBAgQKCKAs7Xqtj1tOYsAEmrH0Oq5oUXXmgpeBhKAHLkkUfGIYcc0lfXiBEjYpFFFomZZpopnn766XjllVf6/lbb0Gpvn3ziE58YdB5FjTvog9u4wAbdBpZLCRAgQIAAAQIECBAgQIAAAQIECEwi4HzNkui1gACk1x3owPMnDkBmnXXWWHrppWOZZZaJZZddNjbYYIO+J7QbgNxwww2xzjrrxAcffFAfo/aWR+1rsBZccMH6f7///vtx2WWXxXbbbVf/SqzaZ/To0XH77bdPdlZFjdsByn5D2KA7LWo8AgQIECBAgAABAgQIECBAgACBKgk4X6tSt9OcqwAkzb60VdXf/va3uPHGG+uBxzzzzNPv3immmKLvv9sJQGqhx1JLLRUPP/xw/f7PfOYz8cADD8THPvaxhtrGjh0bX/ziF/v+/corr6z/JshAn6LGbQusxYtt0C1CuYwAAQIECBAgQIAAAQIECBAgQIDAAALO1yyLXgsIQHrdgYKfP9QA5Lrrrot11123r7rrr78+vvSlLzWtdrPNNotLL720/vflllsu7rnnngGvLWrcIhht0EWoGpMAAQIECBAgQIAAAQIECBAgQKAqAs7XqtLpdOcpAEm3Nx2pbKgByLbbbhvnnHNOvYbaD5s/++yzMfFYkxZ3yy23xOqrr17/59p148ePj9oGN+mnqHE7gjXJIDboIlSNSYAAAQIECBAgQIAAAQIECBAgUBUB52tV6XS68xSApNubjlQ21ABk1KhR8eqrr9Zr2GGHHeKMM86YbD3vvfdezDDDDPHWW2/VrzvrrLPiu9/9bsM9RY3bESwBSBGMxiRAgAABAgQIECBAgAABAgQIEKiogACkoo1PaNoCkISaUUQpQwlAXnvttZh99tn7yhkzZkxsueWWg5a32mqrxe9+97v6dTvttFOcfvrp/e4patxBCxviBTboIcK5jQABAgQIECBAgAABAgQIECBAgEBE/RtiXnrppZhzzjljwoQJTAh0XUAA0nXy7j5wKAHIrbfeGquuumpfobfffnuMHj160MIn/nqrWhhy880397unqHEHLWyIF9ighwjnNgIECBAgQIAAAQIECBAgQIAAAQICEGsgAQEBSAJNKLKEoQQgF1xwQXz729/uK6v2ex5zzz33oGUeccQRceihh9avq/1uyHPPPdfvnqLGHbSwIV4gABkinNsIECBAgAABAgQIECBAgAABAgQICECsgQQEBCAJNKHIEoYSgJx22mmx66679pX117/+NT7+8Y8PWubJJ58cu+++e/26WWaZJV5//fV+9xQ17qCFTXTBSSedFLX/a+XzyiuvxPvvv+8VvVawXEOAAAECBAgQIECAAAECBAgQIEBgEgH/A2NLotcCApBed6Dg5w8lADnuuONiv/3266vs7bffjqmnnnrQSms/fF77wfTaZ5pppol//OMf/e4patxBC5vogsMOOywOP/zwdm4RgLSl5WICBAgQIECAAAECBAgQIECAAAEC/xEQgFgJvRYQgPS6AwU/fygByFFHHRUHH3xwX2X//ve/Y8SIEYNWes4550Ttd0Bqn5EjR8Z7773X756ixh20sIku8AZIO1quJUCAAAECBAgQIECAAAECBAgQIDB0AQHI0O3c2RkBAUhnHJMdZSgBSC0k2HPPPfvm9NZbb8XHPvaxQed4+umnxy677FK/rvaVWbWvzpr4U9S4gxY2xAts0EOEcxsBAgQIECBAgAABAgQIECBAgAABb4BYAwkICEASaEKRJQwlADn77LNj++237yvrz3/+c8w888yDlnn88cfHPvvsU79ujjnmiJdeeqnfPUWNO2hhQ7xAADJEOLcRIECAAAECBAgQIECAAAECBAgQEIBYAwkICEASaEKRJQwlALnyyitjo4026ivr0UcfjcUWW2zQMmtvjXz4A+OLL754PPLII/3uKWrcQQsb4gUCkCHCuY0AAQIECBAgQIAAAQIECBAgQICAAMQaSEBAAJJAE4osYSgByOOPP94v8Lj22mtj3XXXHbTMTTfdNC6//PL6dZtssklcdtll/e4patxBCxviBQKQIcK5jQABAgQIECBAgAABAgQIECBAgIAAxBpIQEAAkkATiixhKAHIO++8E9NOO23fj5gfffTRccABBwxa5gILLBDPPPNM/bpDDjkkDj/88H73FDXuoIUN8QIByBDh3EYgUYH33/8gfvXIy/HEy3+LZT81U6y5yOyJVqosAgQIECBAgAABAgQIECCQh4DztTz6WOZZCEDK3L0Wah9KAFIbdqWVVoo77rij/oR11lknfvOb30z2aa+++mqMGjWq75qxY8fGGmus0XBPUeO2QNH2JTbotsncQCBpgQOvejQuumd8X437rr1Q7LjqfEnXrDgCBAgQIECAAAECBAgQIFBmAedrZe5eHrULQPLoY9NZDDUAmfgHzaeaaqqYMGFCzDbbbE2fc+KJJ8Zee+1V//sMM8wQr7/+ekw55ZQN1xc1bhFttEEXoWpMAr0R+Pu/3o3PHvHb+Pf7H/QVMMt0H4lxB64RE++TvanOUwkQIECAAAECBAgQIECAQJ4Cztfy7GuZZiUAKVO3hlDrUAOQWuAx//zzx9tvv11/6h577BG1kGOgz5tvvhmLLrpojB//n/9l9c477xynnXbagNcWNe4QaAa9xQY9KJELCJRG4FcPvxy7XvJgQ733HbRm1IIQHwIECBAgQIAAAQIECBAgQKDzAs7XOm9qxPYEBCDteZXu6qEGILWJ7rbbbnHKKafU5zxy5Mi49NJLY6ONNupn8O6778bmm28eV1xxRf3fp5lmmnj22Wf7fR3WpGhFjdvp5tigOy1qPAK9E2gWgNx/0JoxswCkd43xZAIECBAgQIAAAQIECBDIWsD5WtbtLcXkBCClaNPgRW633XZx4YUXNlz44RsctT/UvpKqFmRM+vnXv/414APeeOONWH755ePpp5+u/33EiBH1sGPDDTeMmWaaKf74xz/GGWecEY888kjf/bU3P2pvgEzuU9S4gyu1d4UNuj0vVxNIWUAAknJ31EaAAAECBAgQIECAAAECuQo4X8u1s+WZlwCkPL2abKVbbbVVjBkzZkiz+eCD//ed+JMO8NRTT8Waa64Zf/rTnwYde999941jjz120OtqFxQ1bksPb/EiG3SLUC4jUAIBAUgJmqREAgQIECBAgAABAgQIEMhOwPladi0t3YQEIKVr2cAFFxWA1J72f//3f/UfOL/44ovjn//8Z0MBiyyySBx33HGx3nrrtaVZ1LhtFTGZi23QnZI0DoHeCwhAet8DFRAgQIAAAQIECBAgQIBA9QScr1Wv56nNWACSWkcSruf/VNaCAAAgAElEQVTvf/973HzzzfW3Qd56663673wsvvjisdRSSw2r6qLGHVZREWGDHq6g+wmkIyAASacXKiFAgAABAgQIECBAgACB6gg4X6tOr1OdqQAk1c6oq+cCNuiet0ABBDomIADpGKWBCBAgQIAAAQIECBAgQIBAywLO11qmcmFBAgKQgmANW34BG3T5e2gGBD4UEIBYCwQIECBAgAABAgQIECBAoPsCzte6b+6J/QUEIFYEgSYCNmhLg0A+AgKQfHppJgQIECBAgAABAgQIECBQHgHna+XpVa6VCkBy7ax5DVvABj1sQgMQSEZAAJJMKxRCgAABAgQIECBAgAABAhUScL5WoWYnOlUBSKKNUVbvBWzQve+BCgh0SkAA0ilJ4xAgQIAAAQIECBAgQIAAgdYFnK+1buXKYgQEIMW4GjUDARt0Bk00BQL/v4AAxFIgQIAAAQIECBAgQIAAAQLdF3C+1n1zT+wvIACxIgg0EbBBWxoE8hG45uGX43uXPNgwofsPWjNmnu4j+UzUTAgQIECAAAECBAgQIECAQEICztcSakZFSxGAVLTxpj24gA16cCNXECiLgACkLJ1SJwECBAgQIECAAAECBAjkJOB8LadulnMuApBy9k3VXRCwQXcB2SMIdEnAV2B1CdpjCBAgQIAAAQIECBAgQIDARALO1yyHXgsIQHrdAc9PVsAGnWxrFEagbQEBSNtkbiBAgAABAgQIECBAgAABAsMWcL42bEIDDFNAADJMQLfnK2CDzre3ZlY9AQFI9XpuxgQIECBAgAABAgQIECDQewHna73vQdUrEIBUfQWYf1MBG7TFQSAfAb8Bkk8vzYQAAQIECBAgQIAAAQIEyiPgfK08vcq1UgFIrp01r2EL2KCHTWgAAskINAtA7jtozZhluo8kU6dCCBAgQIAAAQIECBAgQIBATgLO13LqZjnnIgApZ99U3QUBG3QXkD2CQJcEmn0F1rgD14xZ/0sA0qU2eAwBAgQIECBAgAABAgQIVEzA+VrFGp7gdAUgCTZFSWkI2KDT6IMqCHRCoNkbIAKQTugagwABAgQIECBAgAABAgQIDCzgfM3K6LWAAKTXHfD8ZAVs0Mm2RmEE2hZoFoDce+AaMdt/fbTt8dxAgAABAgQIECBAgAABAgQIDC7gfG1wI1cUKyAAKdbX6CUWsEGXuHlKJzCJgADEkiBAgAABAgQIECBAgAABAt0XcL7WfXNP7C8gALEiCDQRsEFbGgTyEWgagBywRsz2cW+A5NNpMyFAgAABAgQIECBAgACBlAScr6XUjWrWIgCpZt/NugUBG3QLSC4hUBKBZj+Cfs8Ba8TsApCSdFGZBAgQIECAAAECBAgQIFA2AedrZetYfvUKQPLrqRl1SMAG3SFIwxBIQKDZGyACkASaowQCBAgQIECAAAECBAgQyFbA+Vq2rS3NxAQgpWmVQrstYIPutrjnEShOoFkAcvf+a8QnpvcVWMXJG5kAAQIECBAgQIAAAQIEqizgfK3K3U9j7gKQNPqgigQFbNAJNkVJBIYoIAAZIpzbCBAgQIAAAQIECBAgQIDAMAScrw0Dz60dERCAdITRIDkK2KBz7Ko5VVWgWQBy1/6rx6jpp6kqi3kTIECAAAECBAgQIECAAIFCBZyvFcpr8BYEBCAtILmkmgI26Gr23azzFGgWgNy53+oxxwwCkDy7blYECBAgQIAAAQIECBAg0GsB52u97oDnC0CsAQJNBGzQlgaBfAQEIPn00kwIECBAgAABAgQIECBAoDwCztfK06tcKxWA5NpZ8xq2gA162IQGIJCMQLMA5I79Vo85vQGSTJ8UQoAAAQIECBAgQIAAAQJ5CThfy6ufZZyNAKSMXVNzVwRs0F1h9hACXRH41cMvx66XPNjwLAFIV/g9hAABAgQIECBAgAABAgQqKuB8raKNT2jaApCEmqGUtARs0Gn1QzUEhiPQ7A2Q2/ddLeaa8WPDGdq9BAgQIECAAAECBAgQIECAQBMB52uWRq8FBCC97oDnJytgg062NQoj0LZAswDktn1Wi7lnEoC0DeoGAgQIECBAgAABAgQIECDQgoDztRaQXFKogACkUF6Dl1nABl3m7qmdQH8BAYgVQYAAAQIECBAgQIAAAQIEui/gfK375p7YX0AAYkUQaCJgg7Y0COQjIADJp5dmQoAAAQIECBAgQIAAAQLlEXC+Vp5e5VqpACTXzprXsAVs0MMmNACBZASaBSC/33u1+OTMvgIrmUYphAABAgQIECBAgAABAgSyEnC+llU7SzkZAUgp26bobgjYoLuh7BkEuiMgAOmOs6cQIECAAAECBAgQIECAAIGJBZyvWQ+9FhCA9LoDnp+sgA062dYojEDbAs0CkFv3XjXmmXnatsdzAwECBAgQIECAAAECBAgQIDC4gPO1wY1cUayAAKRYX6OXWMAGXeLmKZ3AJAICEEuCAAECBAgQIECAAAECBAh0X8D5WvfNPbG/gADEiiDQRMAGbWkQyEegWQDyu71WjU/N4g2QfDptJgQIECBAgAABAgQIECCQkoDztZS6Uc1aBCDV7LtZtyBgg24BySUESiLQLAC5Za9VY14BSEm6qEwCBAgQIECAAAECBAgQKJuA87WydSy/egUg+fXUjDokYIPuEKRhCCQgIABJoAlKIECAAAECBAgQIECAAIHKCThfq1zLk5uwACS5ligoFQEbdCqdUAeB4Qs0C0Bu3vML8elZpxv+A4xAgAABAgQIECBAgAABAgQINAg4X7Moei0gAOl1Bzw/WQEbdLKtURiBtgUEIG2TuYEAAQIECBAgQIAAAQIECAxbwPnasAkNMEwBAcgwAd2er4ANOt/emln1BJoFIDft+YWYzxsg1VsQZkyAAAECBAgQIECAAAECXRFwvtYVZg+ZjIAAxPIg0ETABm1pEMhHoFkAMnaPL8T8s/kKrHw6bSYECBAgQIAAAQIECBAgkJKA87WUulHNWgQg1ey7WbcgYINuAcklBEoiIAApSaOUSYAAAQIECBAgQIAAAQJZCThfy6qdpZyMAKSUbVN0NwRs0N1Q9gwC3RFoHoCsEvPP9l/dKcJTCBAgQIAAAQIECBAgQIBAxQScr1Ws4QlOVwCSYFOUlIaADTqNPqiCQCcEBCCdUDQGAQIECBAgQIAAAQIECBBoT8D5Wnteru68gACk86ZGzETABp1JI02DQEQ0C0B+u/sqscDs3gCxSAgQIECAAAECBAgQIECAQBECzteKUDVmOwICkHa0XFspARt0pdptspkLNAtAbtx9lVhQAJJ5902PAAECBAgQIECAAAECBHol4HytV/Ke+6GAAMRaINBEwAZtaRDIR0AAkk8vzYQAAQIECBAgQIAAAQIEyiPgfK08vcq1UgFIrp01r2EL2KCHTWgAAskINAtAbvj+KvGZT/gKrGQapRACBAgQIECAAAECBAgQyErA+VpW7SzlZAQgpWyborshYIPuhrJnEOiOgACkO86eQoAAAQIECBAgQIAAAQIEJhZwvmY99FpAANLrDnh+sgI26GRbozACbQs0C0Cu//7KsdAnPt72eG4gQIAAAQIECBAgQIAAAQIEBhdwvja4kSuKFRCAFOtr9BIL2KBL3DylE5hEoFkAct1uK8fCowQgFgwBAgQIECBAgAABAgQIEChCwPlaEarGbEdAANKOlmsrJWCDrlS7TTZzAQFI5g02PQIECBAgQIAAAQIECBBIUsD5WpJtqVRRApBKtdtk2xGwQbej5VoCaQs0C0B+872VY5E5vAGSdvdUR4AAAQIECBAgQIAAAQJlFXC+VtbO5VO3ACSfXppJhwVs0B0GNRyBHgpc/dBLsdvPH2qoQADSw6Z4NAECBAgQIECAAAECBAhkL+B8LfsWJz9BAUjyLVJgrwRs0L2S91wCnRdoFoBc+72VYtE5pu/8A41IgAABAgQIECBAgAABAgQIhPM1i6DXAgKQXnfA85MVsEEn2xqFEWhboNlXYP1615VisTkFIG2DuoEAAQIECBAgQIAAAQIECLQg4HytBSSXFCogACmU1+BlFrBBl7l7aifQX0AAYkUQIECAAAECBAgQIECAAIHuCzhf6765J/YXEIBYEQSaCNigLQ0C+QgIQPLppZkQIECAAAECBAgQIECAQHkEnK+Vp1e5VioAybWz5jVsARv0sAkNQCAZAQFIMq1QCAECBAgQIECAAAECBAhUSMD5WoWanehUBSCJNkZZvRewQfe+Byog0CmBZgHIr3ZZKRafy2+AdMrZOAQIECBAgAABAgQIECBAYGIB52vWQ68FBCC97oDnJytgg062NQoj0LZAswDkml1GxxJzzdD2eG4gQIAAAQIECBAgQIAAAQIEBhdwvja4kSuKFRCAFOtr9BIL2KBL3DylE5hE4OqHXordfv5Qg4sAxFIhQIAAAQIECBAgQIAAAQLFCThfK87WyK0JCEBac3JVBQVs0BVsuilnK9AsALl659Gx5NzeAMm28SZGgAABAgQIECBAgAABAj0VcL7WU34PjwgBiGVAoImADdrSIJCPQLOvwPrlzqPjswKQfBptJgQIECBAgAABAgQIECCQlIDztaTaUcliBCCVbLtJtyJgg25FyTUEyiEgAClHn1RJgAABAgQIECBAgAABAnkJOF/Lq59lnI0ApIxdU3NXBGzQXWH2EAJdEWj2FVhX7fT5WOqTM3alBg8hQIAAAQIECBAgQIAAAQJVE3C+VrWOpzdfAUh6PVFRIgI26EQaoQwCHRAQgHQA0RAECBAgQIAAAQIECBAgQKBNAedrbYK5vOMCApCOkxowFwEbdC6dNA8CEc0CkCt3+nx8zhsglggBAgQIECBAgAABAgQIEChEwPlaIawGbUNAANIGlkurJWCDrla/zTZvgV8++FJ8/9KHGib5ix0/H0vP4yuw8u6+2REgQIAAAQIECBAgQIBArwScr/VK3nM/FBCAWAsEmgjYoC0NAvkIXPXghNj90ocFIPm01EwIECBAgAABAgQIECBAoAQCztdK0KTMSxSAZN5g0xu6gA166HbuJJCaQPMAZMVYep6ZUitXPQQIECBAgAABAgQIECBAIAsB52tZtLHUkxCAlLp9ii9SwAZdpK6xCXRX4MoHJsQelw30BogApLud8DQCBAgQIECAAAECBAgQqJKA87UqdTvNuQpA0uyLqhIQsEEn0AQlEOiQQLMA5IodVoxlPuUNkA4xG4YAAQIECBAgQIAAAQIECPQTcL5mQfRaQADS6w54frICNuhkW6MwAm0L/OL+CbHn5Y1vgFy+w4qxrACkbU83ECBAgAABAgQIECBAgACBVgScr7Wi5JoiBQQgReoau9QCNuhSt0/xBPoJXHH/hNhLAGJVECBAgAABAgQIECBAgACBrgo4X+sqt4cNICAAsSwINBGwQVsaBPIRaBaAXLb9irHcvL4CK59OmwkBAgQIECBAgAABAgQIpCTgfC2lblSzFgFINftu1i0I2KBbQHIJgZIIXH7fn2LvKx5pqFYAUpIGKpMAAQIECBAgQIAAAQIESingfK2UbcuqaAFIVu00mU4K2KA7qWksAr0VuOy+P8U+AwQgl353hVj+0zP3tjhPJ0CAAAECBAgQIECAAAECmQo4X8u0sSWalgCkRM1SancFbNDd9fY0AkUKNAtAfv7dFWIFAUiR9MYmQIAAAQIECBAgQIAAgQoLOF+rcPMTmboAJJFGKCM9ARt0ej1REYGhClw27k+xzy8avwJLADJUUfcRIECAAAECBAgQIECAAIHBBZyvDW7kimIFBCDF+hq9xAI26BI3T+kEJhFoFoBcst0KseJ8vgLLgiFAgAABAgQIECBAgAABAkUIOF8rQtWY7QgIQNrRcm2lBGzQlWq3yWYucOm48bHvLx5tmKUAJPPGmx4BAgQIECBAgAABAgQI9FTA+VpP+T08IgQglgGBJgI2aEuDQD4CP793fOx3ZWMAcvF2y8fn55sln4maCQECBAgQIECAAAECBAgQSEjA+VpCzahoKQKQijbetAcXsEEPbuQKAmURaBqAbLt8fH5+AUhZ+qhOAgQIECBAgAABAgQIECiXgPO1cvUrx2oFIDl21Zw6ImCD7gijQQgkIXDJveNj/4HeABGAJNEfRRAgQIAAAQIECBAgQIBAngLO1/Lsa5lmJQApU7fU2lUBG3RXuT2MQKECzQKQi7ZdPkZ7A6RQe4MTIECAAAECBAgQIECAQHUFnK9Vt/epzFwAkkon1JGcgA06uZYoiMCQBS6+Z3wccFXjb4AIQIZM6kYCBAgQIECAAAECBAgQIDCogPO1QYlcULCAAKRgYMOXV8AGXd7eqZzApAIX3fNiHHjVYw0wP9tm+VhpAb8BYsUQIECAAAECBAgQIECAAIEiBJyvFaFqzHYEBCDtaLm2UgI26Eq122QzF2gWgFy4zXKx8gKzZj570yNAgAABAgQIECBAgAABAr0RcL7WG3dP/X8CAhCrgUATARu0pUEgH4Gf3f1iHPTLxjdABCD59NhMCBAgQIAAAQIECBAgQCA9Aedr6fWkahUJQKrWcfNtWcAG3TKVCwkkL3Dh3S/GwQMEIBd8Z7lYZUFvgCTfQAUSIECAAAECBAgQIECAQCkFnK+Vsm1ZFS0AyaqdJtNJARt0JzWNRaC3AgKQ3vp7OgECBAgQIECAAAECBAhUU8D5WjX7ntKsBSApdUMtSQnYoJNqh2IIDEvgwrteiIOvfrxhjDHfWS6+4A2QYdm6mQABAgQIECBAgAABAgQINBNwvmZt9FpAANLrDnh+sgI26GRbozACbQs0C0DO33rZWPUzs7U9nhsIECBAgAABAgQIECBAgACBwQWcrw1u5IpiBQQgxfoavcQCNugSN0/pBCYRuOCuF+KQAd4AEYBYKgQIECBAgAABAgQIECBAoDgB52vF2Rq5NQEBSGtOrqqggA26gk035WwFxtz5Qhx6TeNXYJ239bKxmjdAsu27iREgQIAAAQIECBAgQIBAbwWcr/XW39MjBCBWAYEmAjZoS4NAPgICkHx6aSYECBAgQIAAAQIECBAgUB4B52vl6VWulQpAcu2seQ1bwAY9bEIDEEhG4Pw7no/DfvVEQz3nbbVsrLaQ3wBJplEKIUCAAAECBAgQIECAAIGsBJyvZdXOUk5GAFLKtim6GwI26G4oewaB7gicd8fzcfgAAci5Wy0Tqy80e3eK8BQCBAgQIECAAAECBAgQIFAxAedrFWt4gtMVgCTYFCWlIWCDTqMPqiDQCQEBSCcUjUGAAAECBAgQIECAAAECBNoTcL7WnperOy8gAOm8qREzEbBBZ9JI0yAQEefe/nwc8evGr8A659vLxBoLewPEIiFAgAABAgQIECBAgAABAkUIOF8rQtWY7QgIQNrRcm2lBGzQlWq3yWYu0CwA+emWy8SaiwhAMm+/6REgQIAAAQIECBAgQIBAjwScr/UI3mP7BAQgFgOBJgI2aEuDQD4C59z+fBw5wBsgApB8emwmBAgQIECAAAECBAgQIJCegPO19HpStYoEIFXruPm2LGCDbpnKhQSSF/jpbc/FUdf+oaHOn2y5THzRGyDJ90+BBAgQIECAAAECBAgQIFBOAedr5exbTlULQHLqprl0VMAG3VFOgxHoqYAApKf8Hk6AAAECBAgQIECAAAECFRVwvlbRxic0bQFIQs1QSloCNui0+qEaAsMRaBaAnL3F0rHWop8YztDuJUCAAAECBAgQIECAAAECBJoIOF+zNHotIADpdQc8P1kBG3SyrVEYgbYFfvL75+Lo3zR+BdZZWywdXxKAtO3pBgIECBAgQIAAAQIECBAg0IqA87VWlFxTpIAApEhdY5dawAZd6vYpnkA/AQGIBUGAAAECBAgQIECAAAECBLov4Hyt++ae2F9AAGJFEGgiYIO2NAjkI3D275+N//7Nkw0TOvNbS8fai/kKrHw6bSYECBAgQIAAAQIECBAgkJKA87WUulHNWgQg1ey7WbcgYINuAcklBEoiIAApSaOUSYAAAQIECBAgQIAAAQJZCThfy6qdpZyMAKSUbVN0NwRs0N1Q9gwC3RE469Zn45jrBnoD5HOx9mKjulOEpxAgQIAAAQIECBAgQIAAgYoJOF+rWMMTnK4AJMGmKCkNARt0Gn1QBYFOCJx567Nx7AAByBnf/Fyss7gApBPGxiBAgAABAgQIECBAgAABApMKOF+zJnotIADpdQc8P1kBG3SyrVEYgbYFBCBtk7mBAAECBAgQIECAAAECBAgMW8D52rAJDTBMAQHIMAHdnq+ADTrf3ppZ9QTO+N2zcdz1jV+B9eNvfi7W9QZI9RaEGRMgQIAAAQIECBAgQIBAVwScr3WF2UMmIyAAsTwINBGwQVsaBPIR+PHvnokfXP/HhgkJQPLpsZkQIECAAAECBAgQIECAQHoCztfS60nVKhKAVK3j5tuygA26ZSoXEkheoFkAcvrmn4svL+E3QJJvoAIJECBAgAABAgQIECBAoJQCztdK2basihaAZNVOk+mkgA26k5rGItBbgdNveSaOv6HxDZDTNl8q1ltijt4W5+kECBAgQIAAAQIECBAgQCBTAedrmTa2RNMSgJSoWUrtroANurvenkagSAEBSJG6xiZAgAABAgQIECBAgAABAgMLOF+zMnotIADpdQc8P1kBG3SyrVEYgbYFmgUgp35jqVh/SW+AtA3qBgIECBAgQIAAAQIECBAg0IKA87UWkFxSqIAApFBeg5dZwAZd5u6pnUB/gdNufjpOuPGpBhYBiJVCgAABAgQIECBAgAABAgSKE3C+VpytkVsTEIC05uSqCgrYoCvYdFPOVqBZAHLKN5aKr3gDJNu+mxgBAgQIECBAgAABAgQI9FbA+Vpv/T09QgBiFRBoImCDtjQI5CNw6k1Px4m/bXwD5EebfTY2+Oyc+UzUTAgQIECAAAECBAgQIECAQEICztcSakZFSxGAVLTxpj24gA16cCNXECiLwCk3PR0nCUDK0i51EiBAgAABAgQIECBAgEAmAs7XMmlkiachAClx85RerIANulhfoxPopoAApJvankWAAAECBAgQIECAAAECBP4j4HzNSui1gACk1x3w/GQFbNDJtkZhBNoW+NHYp+OHY30FVttwbiBAgAABAgQIECBAgAABAsMQcL42DDy3dkRAANIRRoPkKGCDzrGr5lRVgWYByMlf/2xsuJTfAKnqujBvAgQIECBAgAABAgQIEChWwPlasb5GH1xAADK4kSsqKmCDrmjjTTtLgZPHPhUnj326YW4//PqS8dWl5spyziZFgAABAgQIECBAgAABAgR6LeB8rdcd8HwBiDVAoImADdrSIJCPwA9/+1T86CYBSD4dNRMCBAgQIECAAAECBAgQKIOA87UydCnvGgUgeffX7IYhYIMeBp5bCSQm0CwAOWnTJeNrn/MGSGLtUg4BAgQIECBAgAABAgQIZCLgfC2TRpZ4GgKQEjdP6cUK2KCL9TU6gW4KnPTbp+KUAd4AEYB0swueRYAAAQIECBAgQIAAAQJVE3C+VrWOpzdfAUh6PVFRIgI26EQaoQwCHRA46cY/xik3P9Mw0ombLBkbLe0NkA4QG4IAAQIECBAgQIAAAQIECDQIOF+zKHotIADpdQc8P1kBG3SyrVEYgbYFmgUgJ2yyZGwsAGnb0w0ECBAgQIAAAQIECBAgQKAVAedrrSi5pkgBAUiRusYutYANutTtUzyBfgIn3vjHOHWAN0AEIBYKAQIECBAgQIAAAQIECBAoTsD5WnG2Rm5NQADSmpOrKihgg65g0005W4FmAcjxGy8Rmywzd7bzNjECBAgQIECAAAECBAgQINBLAedrvdT37JqAAMQ6INBEwAZtaRDIR+CEG/4Yp93S+BsgP9h4idhUAJJPo82EAAECBAgQIECAAAECBJIScL6WVDsqWYwApJJtN+lWBGzQrSi5hkA5BI6/4ck4/ZZnG4oVgJSjf6okQIAAAQIECBAgQIAAgXIKOF8rZ99yqloAklM3zaWjAjbojnIajEBPBZoGIBstEZsu6yuwetocDydAgAABAgQIECBAgACBbAWcr2Xb2tJMTABSmlYptNsCNuhui3segeIEfnD9k/Hj3w3wBogApDh0IxMgQIAAAQIECBAgQIBA5QWcr1V+CfQcQADS8xYoIFUBG3SqnVEXgfYFjrv+yThjgADkuI0Wj68v+8n2B3QHAQIECBAgQIAAAQIECBAgMKiA87VBiVxQsIAApGBgw5dXwAZd3t6pnMCkAs0CkGO/tnhstpwAxIohQIAAAQIECBAgQIAAAQJFCDhfK0LVmO0ICEDa0XJtpQRs0JVqt8lmLnDsdU/Gmbc2fgWWACTzxpseAQIECBAgQIAAAQIECPRUwPlaT/k9PCIEIJYBgSYCNmhLg0A+As0CkGO+tnh8wxsg+TTaTAgQIECAAAECBAgQIEAgKQHna0m1o5LFCEAq2fb2J/3aa6/FmDFj4qabborHHnss/vKXv8T7778fM844Yyy00EKx8sorx9Zbbx3zzjtvW4M/+uijcd5558XYsWNjwoQJ8c4778Scc84ZyyyzTGyxxRax9tprtzVeJy+2QXdS01gEeitwzHV/iLNufa6hCAFIb/vi6QQIECBAgAABAgQIECCQt4Dztbz7W4bZCUDK0KUe13jyySfHAQccEP/85z8nW8nIkSNjjz32iKOPPjqmmmqqyV773nvvxSGHHBLHHXdcPUhp9llvvfXi3HPPjVlnnbXrCjborpN7IIHCBI75zR/irN83BiD//dXFY/Pl/QZIYfAGJkCAAAECBAgQIECAAIFKCzhfq3T7k5i8ACSJNqRbxH777VcPKSb+jBo1Kuaff/4YMWJEvPDCC/Hiiy/2+/vGG28cl112WUwxxRRNJ7bNNtvUg40PP7XAZJFFFonpppsunnzyyfjf//3fvr8tueSScccdd8S00zvTOeIAACAASURBVE7bVSgbdFe5PYxAoQLNApCjv7pYfHP5eQp9tsEJECBAgAABAgQIECBAgEBVBZyvVbXz6cxbAJJOL5Kr5Pbbb69/tdWHnwUXXDDOOuusWHXVVfvVet9998X2228fDzzwQN+/177WaqutthpwTmeffXb9+g8/X/nKV+LHP/5x/auvap933323/pzdd989am+K1D6bb755XHTRRV01skF3ldvDCBQq8N+/+UOcPcAbIAKQQtkNToAAAQIECBAgQIAAAQIVF3C+VvEFkMD0BSAJNCHVEjbbbLO49NJL6+VNP/308cQTT8Qcc8wxYLl//etfo/amxodvg9R+w2PcuHEN1/7jH/+I+eabL1599dX632phSu33P2pfnzXp55xzzoltt922/s+1t0lqQcvnPve5rnHZoLtG7UEEChc4+ton4ie3Pd/wnKM2XCy+tYI3QApvgAcQIECAAAECBAgQIECAQCUFnK9Vsu1JTVoAklQ70iqm9kbGyy+/XC9ql112iVNPPXWyBZ5wwgmx99579wUW//rXv2Lqqafud88ZZ5wRO+20U981tVCl9iPqzT4rrLBC3HPPPfU/b7rppn2BTDekbNDdUPYMAt0REIB0x9lTCBAgQIAAAQIECBAgQIDAxALO16yHXgsIQHrdgYSfXwsval9HVfuceeaZ/b62aqCyr7/++lhnnXX6/vTSSy81vDGy5pprxk033VS/pvb2xy233DJZgdpXaX3nO9+pX1P7fZA///nP8ZGPfKQrajborjB7CIGuCBz16yfip7c3vgFy5IaLxRbeAOlKDzyEAAECBAgQIECAAAECBKon4Hytej1PbcYCkNQ6klA9M800U7zxxhv1ik455ZTYddddJ1vd1VdfHRtuuGH9mtpXVv3973/v98Plb775ZtTG/DBUOfbYY2Pfffed7Ji1r8qq/ej6h58bbrgh1lprra4o2aC7wuwhBLoi0DQA2WDR2GLFT3WlBg8hQIAAAQIECBAgQIAAAQJVE3C+VrWOpzdfAUh6PUmmorXXXjtqgUPts/HGG8fll18+2dr22GOP+OEPf1i/pvZbHffff3+/6++9995Yfvnl+/7t1ltvjVVWWWXQ+c4777zxwgsv1K/7wQ9+0Pc1W4PeOMwLbNDDBHQ7gYQEjvz1E3HOQG+ACEAS6pJSCBAgQIAAAQIECBAgQCA3AedruXW0fPMRgJSvZ12r+JprrokNNtig/rwRI0bEb3/721h99dUHfP5DDz0Uo0ePjtqPnNc+F198cXzjG9/od+2YMWNiq6226vu3CRMmRO13Rgb7TPy1WVtvvXWce+65g93Skb/boDvCaBACSQgc8asn4tw7Gr8C64gNFo0tvQGSRI8UQYAAAQIECBAgQIAAAQL5CThfy6+nZZuRAKRsHetyvd/73vf6fvy89psgtbc8Nt9885h//vnroUjtzYwrrrgial9nVfuKq9pnn332ieOOO66h0iOOOCIOPfTQ+r9POeWU8fbbb9fHGOxT+w2Q2m+B1D6rrbZa3HzzzYPd0pG/26A7wmgQAkkICECSaIMiCBAgQIAAAQIECBAgQKBiAs7XKtbwBKcrAEmwKamVdOqpp8aRRx4Zr7/++mRLW2ihheKAAw6ILbbYYsDr9tprrzjxxBPrf5txxhnjL3/5S0tT/f73vx8/+tGP6tcus8wyMW7cuJbuG+iik046KWr/18rnlVdeiffff7/+lkrtbRUfAgTKK3D4rx6P8+74z1fpTfw5/CuLxrc/7zdAyttZlRMgQIAAAQIECBAgQIBAygICkJS7U43aBCDV6POwZ3n77bfHdtttF08++eSAY80+++xx4IEHRu0rqqabbroBr9lxxx3jzDPPrP+t9sPmL7/8ckt17b///vU3TGqfhRdeOJ544omW7hvoosMOOywOP/zwtu4XgLTF5WICSQocds3jcf6djQHIYesvEluNnjfJmhVFgAABAgQIECBAgAABAgTKLiAAKXsHy1+/AKT8PSx0BuPHj49tttkmxo4d2/ec2WabLRZYYIGYaqqpovb35557ru9vs846a5x//vmx7rrrNtS17bbbxjnnnFP/97nnnrt+byufgw8+OI466qj6pfPNN18888wzrdw24DXeABkynRsJlFpAAFLq9imeAAECBAgQIECAAAECBEoqIAApaeMyKlsAklEzOz2V2u97rLTSSvHSSy/Vh669fXHaaac1/BB67a2Q2tdbXXvttfXrar/vUfsB9XXWWadfSRP/nkgtKHnttddaKnnvvfeOE044oX7tEkssEQ8//HBL9w33Ihv0cAXdTyAdgWYByKHrLxJbewMknUaphAABAgQIECBAgAABAgSyEnC+llU7SzkZAUgp29adoldZZZW47bbb6g9bcMEF4957743pp59+wId/8MEHsemmm9Z/EL32qX0l1rPPPhvTTjtt3/W13wc55phj6v9d+5qsv//97y1NZOedd44f//jH9Ws///nPxx133NHSfcO9yAY9XEH3E0hHQACSTi9UQoAAAQIECBAgQIAAAQLVEXC+Vp1epzpTAUiqnelxXXfeeWeMHj26r4qrrroqNtxww8lW9eqrr8Y888wT77zzTv26n/70p/Wvz/rwU/v6qT333LPvv2sBSLPfC5n4QRtttFFceeWV9X9af/3162+XdONjg+6GsmcQ6I7AoVc/FmPuerHhYYest0h8ZyW/AdKdLngKAQIECBAgQIAAAQIECFRNwPla1Tqe3nwFIOn1JImKjjjiiDj00EPrtdR+6+Nvf/tbfPSjHx20tpVXXjlqP5he+2y55ZYxZsyYvntqX5G13nrr9f33448/HossssigYy633HIxbty4+nW1r8P6wQ9+MOg9nbjABt0JRWMQSEPgkKsfiwsGCEAOXm+R2EYAkkaTVEGAAAECBAgQIECAAAEC2Qk4X8uupaWbkACkdC3rTsHbb799nH322fWHzTHHHH2/AzLY0zfffPO45JJL6pettdZaccMNN/TdUvux9NqPmH/4ueiii6J2/eQ+7777bv1rt/75z3/WLzv33HNj6623HqyMjvzdBt0RRoMQSEJAAJJEGxRBgAABAgQIECBAgAABAhUTcL5WsYYnOF0BSIJNSaGkiX+wfMYZZ4y//OUvLZVV+5qsq6++un7tBhtsEL/85S/73Tf33HPHhAkT6v+244479v22R7PB77777lhxxRX7/vzMM8/0C1FaKmqIF9mghwjnNgIJChz8y8fiwrsbvwLroC8vHNuu/OkEK1YSAQIECBAgQIAAAQIECBAov4DztfL3sOwzEICUvYMF1X/sscfG/vvv3zd67QfNP/3pwQ8JJw44dtpppzj99NP7VTjxD5rPMsss9TdLpp566qaz2HXXXeO0006r/33RRReNxx57rKAZNw5rg+4atQcRKFxAAFI4sQcQIECAAAECBAgQIECAAIEGAedrFkWvBQQgve5Aos+/4447YqWVVuqrrvZGyI9+9KPJVnvFFVfEJpts0nfNpZdeGptuumm/e2q/5VH7TY8PP6ecckrUQo6BPrU3RWq/EVL7sfTa5/jjj4+99tqra2I26K5RexCBwgUO+uWj8bO7xzc8xxsghdN7AAECBAgQIECAAAECBAhUWMD5WoWbn8jUBSCJNCK1Mv7973/HYostFk8++WS9tCmmmCLOOuus2G677QYs9a677oovf/nL8cYbb9T/Pvvss0ftrZFpp5224fraV2Ndc8019X+fbrrp4vrrr4/Ro0f3u672o+u1H0y/7bbb6v8+atSo+njTTDNN16hs0F2j9iAChQsceNWjcdE9jQHIgesuHNutMvjbbYUX6AEECBAgQIAAAQIECBAgQCBDAedrGTa1ZFMSgJSsYd0s98Ybb4x11103amHIh59VVlklNttss1hwwQVjqqmmivHjx8e1114bl19+eb/rLrzwwvjWt741YLkvvPBC/S2Q119/vf73j3zkI7HNNtvUfzS9Fog88sgjceqpp8bzzz9f//uIESPqvyWy/vrrd3P6YYPuKreHEShUQABSKK/BCRAgQIAAAQIECBAgQIDAgALO1yyMXgsIQHrdgcSfP2bMmNh+++3j7bffbqnSKaecMo477rjYY489Jnv9nXfeWQ80Bvtx9ZEjR9a/eqv22yHd/tiguy3ueQSKEzjgqkfj4gHeADlg3YXiu6vMV9yDjUyAAAECBAgQIECAAAECBCos4Hytws1PZOoCkEQakXIZTzzxRBxxxBFx5ZVXxrvvvjtgqbW3NGpfWXXQQQfFsssu29J0aj+Avttuu8XVV18d7733XsM9tbdETj755FhxxRVbGq/TF9mgOy1qPAK9E9j/ykfjknsbvwJLANK7nngyAQIECBAgQIAAAQIECOQv4Hwt/x6nPkMBSOodSqi+N998M2o/Yv7UU0/1/dbH9NNPH/PNN1/9K61mmGGGIVVb+yqs3//+91H70fN33nkn5phjjnqIUvuarV5+bNC91PdsAp0VaBaA7L/OQrH9F7wB0lltoxEgQIAAAQIECBAgQIAAgf8IOF+zEnotIADpdQc8P1kBG3SyrVEYgbYF9r/ykbjk3j813LffOgvFDgKQtj3dQIAAAQIECBAgQIAAAQIEWhFwvtaKkmuKFBCAFKlr7FIL2KBL3T7FE+gnIACxIAgQIECAAAECBAgQIECAQPcFnK9139wT+wsIQKwIAk0EbNCWBoF8BPb7xSPx83GNb4Dsu/ZCseOqvgIrn06bCQECBAgQIECAAAECBAikJOB8LaVuVLMWAUg1+27WLQjYoFtAcgmBkgjse8Ujcel9jQHIPmt/JnZadf6SzEKZBAgQIECAAAECBAgQIECgXALO18rVrxyrFYDk2FVz6oiADbojjAYhkISAACSJNiiCAAECBAgQIECAAAECBCom4HytYg1PcLoCkASboqQ0BGzQafRBFQQ6IbDPFQ/HZfdNaBhq7y99JnZezRsgnTA2BgECBAgQIECAAAECBAgQmFTA+Zo10WsBAUivO+D5yQrYoJNtjcIItC2w9+UPx+X3C0DahnMDAQIECBAgQIAAAQIECBAYhoDztWHgubUjAgKQjjAaJEcBG3SOXTWnqgoIQKraefMmQIAAAQIECBAgQIAAgV4KOF/rpb5n1wQEINYBgSYCNmhLg0A+Antd/nBcMcAbIHuttWDssvoC+UzUTAgQIECAAAECBAgQIECAQEICztcSakZFSxGAVLTxpj24gA16cCNXECiLgACkLJ1SJwECBAgQIECAAAECBAjkJOB8LadulnMuApBy9k3VXRCwQXcB2SMIdElgz8sejl880PgbIHt+ccHYdQ1vgHSpDR5DgAABAgQIECBAgAABAhUTcL5WsYYnOF0BSIJNUVIaAjboNPqgCgKdENjjsofiygdeahhKANIJXWMQIECAAAECBAgQIECAAIGBBZyvWRm9FhCA9LoDnp+sgA062dYojEDbAs0CkD2+uGB8zxsgbXu6gQABAgQIECBAgAABAgQItCLgfK0VJdcUKSAAKVLX2KUWsEGXun2KJ9BPYI9LH4orH2x8A2T3NReM3db0FViWCwECBAgQIECAAAECBAgQKELA+VoRqsZsR0AA0o6WayslYIOuVLtNNnOB3S99KK4SgGTeZdMjQIAAAQIECBAgQIAAgdQEnK+l1pHq1SMAqV7PzbhFARt0i1AuI1ACgWYByPfXXCC+v+aCJZiBEgkQIECAAAECBAgQIECAQPkEnK+Vr2e5VSwAya2j5tMxARt0xygNRKDnAt//+YPxy4debqhDANLz1iiAAAECBAgQIECAAAECBDIWcL6WcXNLMjUBSEkapczuC9igu2/uiQSKEmgWgOy2xgKx+xe9AVKUu3EJECBAgAABAgQIECBAoNoCzteq3f8UZi8ASaELakhSwAadZFsURWBIArv9/MG4eoA3QL63xgKxhwBkSKZuIkCAAAECBAgQIECAAAECgwk4XxtMyN+LFhCAFC1s/NIK2KBL2zqFE2gQ+N4lD8Y1Dzd+BZYAxGIhQIAAAQIECBAgQIAAAQLFCThfK87WyK0JCEBac3JVBQVs0BVsuilnK9A0AFl9/thjrc9kO28TI0CAAAECBAgQIECAAAECvRRwvtZLfc+uCQhArAMCTQRs0JYGgXwEdr3kwfjVQG+ACEDyabKZECBAgAABAgQIECBAgEByAs7XkmtJ5QoSgFSu5SbcqoANulUp1xFIX2CXix+IXz/ySkOhu64+f+zpDZD0G6hCAgQIECBAgAABAgQIECilgPO1UrYtq6IFIFm102Q6KWCD7qSmsQj0VqBZALLLavPHXl/yFVi97Y6nEyBAgAABAgQIECBAgECuAs7Xcu1seeYlAClPr1TaZQEbdJfBPY5AgQI7X/xAXDvAGyACkALRDU2AAAECBAgQIECAAAEClRdwvlb5JdBzAAFIz1uggFQFbNCpdkZdBNoXaBaA7LzafLH3lxZqf0B3ECBAgAABAgQIECBAgAABAoMKOF8blMgFBQsIQAoGNnx5BWzQ5e2dyglMKrDzRQ/EtY82/gaIAMRaIUCAAAECBAgQIECAAAECxQk4XyvO1sitCQhAWnNyVQUFbNAVbLopZyuw00X3x28efbVhfjutOl/ss7Y3QLJtvIkRIECAAAECBAgQIECAQE8FnK/1lN/DI0IAYhkQaCJgg7Y0COQj0CwA2XHV+WJfAUg+jTYTAgQIECBAgAABAgQIEEhKwPlaUu2oZDECkEq23aRbEbBBt6LkGgLlENjxZ/fHdY81vgEiAClH/1RJgAABAgQIECBAgAABAuUUcL5Wzr7lVLUAJKdumktHBWzQHeU0GIGeCuxw4f1x/eONAcgOX5gv9lvHV2D1tDkeToAAAQIECBAgQIAAAQLZCjhfy7a1pZmYAKQ0rVJotwVs0N0W9zwCxQkIQIqzNTIBAgQIECBAgAABAgQIEGgm4HzN2ui1gACk1x3w/GQFbNDJtkZhBNoW2P7C++KGx/+n4b7tv/Dp2H+dhdsezw0ECBAgQIAAAQIECBAgQIDA4ALO1wY3ckWxAgKQYn2NXmIBG3SJm6d0ApMINA1AVvl07L+uAMSCIUCAAAECBAgQIECAAAECRQg4XytC1ZjtCAhA2tFybaUEbNCVarfJZi7w3QvuixufGOANEAFI5p03PQIECBAgQIAAAQIECBDopYDztV7qe3ZNQABiHRBoImCDtjQI5COw3QX3xW8HCEC+u8qn4wBvgOTTaDMhQIAAAQIECBAgQIAAgaQEnK8l1Y5KFiMAqWTbTboVARt0K0quIVAOgWYByHYrzxsHfnmRckxClQQIECBAgAABAgQIECBAoGQCztdK1rAMyxWAZNhUU+qMgA26M45GIZCCwLZj7ouxf2j8CiwBSArdUQMBAgQIECBAgAABAgQI5CrgfC3XzpZnXgKQ8vRKpV0WsEF3GdzjCBQosO2YcTH2D681PGHbleaNg9bzBkiB9IYmQIAAAQIECBAgQIAAgQoLOF+rcPMTmboAJJFGKCM9ARt0ej1REYGhCghAhirnPgIECBAgQIAAAQIECBAgMHQB52tDt3NnZwQEIJ1xNEqGAjboDJtqSpUV2Ob8cXHTk41vgGyz0rxxsDdAKrsuTJwAAQIECBAgQIAAAQIEihVwvlasr9EHFxCADG7kiooK2KAr2njTzlKgWQDyndHzxiHr+wqsLJtuUgQIECBAgAABAgQIECDQcwHnaz1vQeULEIBUfgkAaCZgg7Y2COQj8J3zx8XNA7wBIgDJp8dmQoAAAQIECBAgQIAAAQLpCThfS68nVatIAFK1jptvywI26JapXEggeYGtz7s3bvnj6w11bj36U3Ho+osmX78CCRAgQIAAAQIECBAgQIBAGQWcr5Wxa3nVLADJq59m00EBG3QHMQ1FoMcCApAeN8DjCRAgQIAAAQIECBAgQKCSAs7XKtn2pCYtAEmqHYpJScAGnVI31EJgeAJbnXdv/G6AN0C2+vyn4rCveANkeLruJkCAAAECBAgQIECAAAECAws4X7Myei0gAOl1Bzw/WQEbdLKtURiBtgW+fe69cetTjV+BJQBpm9INBAgQIECAAAECBAgQIECgZQHnay1TubAgAQFIQbCGLb+ADbr8PTQDAh8KCECsBQIECBAgQIAAAQIECBAg0H0B52vdN/fE/gICECuCQBMBG3RxS+ODDz6I+198I559/c1Yft6Z41OzTFvcw4xMICK2PPfe+P0Ab4B8e8V54vANFmNEgAABAgQIECBAgAABAgQIFCDgfK0AVEO2JSAAaYvLxVUSsEEX1+2jr30ifnLb8/UHTD1yRJy1xdKx2kKzFfdAI1deQABS+SUAgAABAgQIECBAgAABAgR6IOB8rQfoHtlPQABiQRBoImCDLmZp/PnNt2OZo8b2G3zJuaaPq3dZqZgHGpVARGxxzj1x29N/brDYcsV54ghvgFgjBAgQIECAAAECBAgQIECgEAHna4WwGrQNAQFIG1gurZaADbqYfp9z+/Nx5K+faBj8hWO/XMwDjUpgMgHIFivME0du6CuwLBICBAgQIECAAAECBAgQIFCEgPO1IlSN2Y6AAKQdLddWSsAGXUy7T7/lmTj+hj82DP78MevGFFNMUcxDjVp5gWZvgAhAKr80ABAgQIAAAQIECBAgQIBAgQLO1wrENXRLAgKQlphcVEUBG3QxXT/r1mfjmOuebBj8maPXiSlHjijmoUatvMC3fnpP3P5M41dgfWuFT8ZRGy5eeR8ABAgQIECAAAECBAgQIECgCAHna0WoGrMdAQFIO1qurZSADbqYdjf7Cqw/HLF2TDP1yGIeatTKC3zzp3fHHc/8b4ODAKTySwMAAQIECBAgQIAAAQIECBQo4HytQFxDtyQgAGmJyUVVFLBBF9P1C+56IQ65+vGGwR8+dK2YfpqpinmoUSsv0CwA+ebyn4yjv+oNkMovEAAECBAgQIAAAQIECBAgUIiA87VCWA3ahoAApA0sl1ZLwAZdTL8vvmd8HHDVow2D33fQmjHLdB8p5qFGrbzA5j+5O+58tvENkM2X/2T8twCk8usDAAECBAgQIECAAAECBAgUI+B8rRhXo7YuIABp3cqVFROwQRfT8Mvu+1Psc8UjDYPftf/qMWr6aYp5qFErLyAAqfwSAECAAAECBAgQIECAAAECPRBwvtYDdI/sJyAAsSAINBGwQRezNK56cELsfunDDYP/fu/V4pMzf6yYhxq18gLfOPvuuOu5xjdAvrHcJ+OYr/kKrMovEAAECBAgQIAAAQIECBAgUIiA87VCWA3ahoAApA0sl1ZLwAZdTL9/9fDLseslDzYMPnaPL8T8s01XzEONWnmBzc6+K+5+7i8NDgKQyi8NAAQIECBAgAABAgQIECBQoIDztQJxDd2SgACkJSYXVVHABl1M169/7JXY4WcPNAx+3W4rx8KjPl7MQ41aeYHmAcjccczXlqi8DwACBAgQIECAAAECBAgQIFCEgPO1IlSN2Y6AAKQdLddWSsAGXUy7f/vE/8R2F9zXMPg1u4yOJeaaoZiHGrXyAl8/66645/nGN0A2W3buOHYjAUjlFwgAAgQIECBAgAABAgQIEChEwPlaIawGbUNAANIGlkurJWCDLqbfY5/4n9h2gADkFzuuGEvPM1MxDzVq5QU2PeuuuFcAUvl1AIAAAQIECBAgQIAAAQIEuivgfK273p7WKCAAsSoINBGwQRezNJq9AXLJdivEivPNXMxDjVp5gWYByNeXmTuO29gbIJVfIAAIECBAgAABAgQIECBAoBAB52uFsBq0DQEBSBtYLq2WgA26mH7f+Pir8d0L728Y/ILvLBerLDhrMQ81auUFNj3zrrj3hcavwBKAVH5pACBAgAABAgQIECBAgACBAgWcrxWIa+iWBAQgLTG5qIoCNuhiun7D46/G9gMEIOd8e5lYY+HZi3moUSsv0CwA2XSZueIHGy9ZeR8ABAgQIECAAAECBAgQIECgCAHna0WoGrMdAQFIO1qurZSADbqYdl//2Kuxw88a3wA581ufi7UXG1XMQ41aeYFNzrwzxr3wRoPDJkvPFcdvIgCp/AIBQIAAAQIECBAgQIAAAQKFCDhfK4TVoG0ICEDawHJptQRs0MX0+/rHXokdfvZAw+CnfGOp+MqScxTzUKNWXmDjM+6M+14UgFR+IQAgQIAAAQIECBAgQIAAga4KOF/rKreHDSAgALEsCDQRsEEXszSue/SV2PGixgDkxE2WjI2WnquYhxq18gLNApCNl54rTvAGSOXXBwACBAgQIECAAAECBAgQKEbA+Voxrkb9/9i7Cyg7irT/408ySSbubhAl7sTdEwIssC8sEixZILhD3IUYTghuwV3i7grE3d19MpmZzLynL2Q24d6b2zVTfW/fru8953/+h53qqq7PU1vvbv22u+0LEIDYt6KlYQJs0M4UfOLq/fJwgABkxM3V5T/1SzszKL0aL3DLuIWyIsATIAQgxi8NABBAAAEEEEAAAQQQQAABBBwU4HzNQVy6tiVAAGKLiUYmCrBBO1P1X1ftk0c//8Ov88E3VpWuja52ZlB6NV7g5rcWyO+7Tvg53FKnpIy5lW+AGL9AAEAAAQQQQAABBBBAAAEEEHBEgPM1R1jpVEGAAEQBi6ZmCbBBO1PvX1buk8e+8A9A+napIt2alnFmUHo1XiBYAHJznRIy9tZaxvsAgAACCCCAAAIIIIAAAggggIATApyvOaFKnyoCBCAqWrQ1SoAN2ply/7xynzweIAB5sVMleahFOWcGpVfjBW56a4H8EeAJEAIQ45cGAAgggAACCCCAAAIIIIAAAg4KcL7mIC5d2xIgALHFRCMTBdignan6T3/ulSe+/NOv82fbV5RHW1dwZlB6NV4gaABSu4SMvY0nQIxfIAAggAACCCCAAAIIIIAAAgg47pA3wQAAIABJREFUIsD5miOsdKogQACigEVTswTYoJ2pd7AA5PE2FeTpdhWdGZRejRf415sL5M/d/t8Aual2CXmZAMT49QEAAggggAACCCCAAAIIIICAMwKcrznjSq/2BQhA7FvR0jABNmhnCv7jH3vlya/8nwDp0bKcvNCxkjOD0qvxAje+uUBWEoAYvw4AQAABBBBAAAEEEEAAAQQQCK8A52vh9WY0fwECEFYFAkEE2KCdWRo//LFHnvpqpV/n3ZuWkT5dqjgzKL0aLxAsAPlXreLyyn9qG+8DAAIIIIAAAggggAACCCCAAAJOCHC+5oQqfaoIEICoaNHWKAE2aGfK/f3ve+Tpr/0DkHsaXSUDb6zmzKD0arzAjW/Ml5V7Tvo5EIAYvzQAQAABBBBAAAEEEEAAAQQQcFCA8zUHcenalgABiC0mGpkowAbtTNW/W7FHnvnGPwC5vX5pGX5zdWcGpVfjBYIFIDfWKi6v8gSI8esDAAQQQAABBBBAAAEEEEAAAWcEOF9zxpVe7QsQgNi3oqVhAmzQzhT8m+W75blvV/l1/u+6JWX0/9V0ZlB6NV7ghjfmy6oAT4DcULO4vHY7r8AyfoEAgAACCCCAAAIIIIAAAggg4IgA52uOsNKpggABiAIWTc0SYIN2pt5fL98tzwcIQPhf4jvjTa9/CVz/+nxZvdf/FVgEIKwQBBBAAAEEEEAAAQQQQAABBJwT4HzNOVt6tidAAGLPiVYGCrBBO1P0r5ftlue/838CpHP1ovLWnXWdGZRejRcIFoBcX7O4vM4TIMavDwAQQAABBBBAAAEEEEAAAQScEeB8zRlXerUvQABi34qWhgmwQTtT8K+W7ZIXvlvt13nbykXkvXvqOTMovRov0OX1ebJm7yk/BwIQ45cGAAgggAACCCCAAAIIIIAAAg4KcL7mIC5d2xIgALHFRCMTBdignan6l0t3yYvf+wcgLSoWko/vr+/MoPRqvMB1r82Ttfv8A5AuNYrJG3fUMd4HAAQQQAABBBBAAAEEEEAAAQScEOB8zQlV+lQRIABR0aKtUQJs0M6U+4ulu6RngACkcbkC8vl/GzozKL0aLxAsALmuRjF5kwDE+PUBAAIIIIAAAggggAACCCCAgDMCnK8540qv9gUIQOxb0dIwATZoZwr++ZJd0usH/ydArr06n3zzUGNnBqVX4wU6vzpP1u33fwKEAMT4pQEAAggggAACCCCAAAIIIICAgwKcrzmIS9e2BAhAbDHRyEQBNmhnqj5hyU7p/cMav85rlsorPz3SxJlB6dV4gaABSPVi8uadvALL+AUCAAIIIIAAAggggAACCCCAgCMCnK85wkqnCgIEIApYNDVLgA3amXp/tnin9PnRPwCpUiy3THyimTOD0qvxAp1enSfrAz0BQgBi/NoAAAEEEEAAAQQQQAABBBBAwDkBztecs6VnewIEIPacaGWgABu0M0X/dNEO6fvTWr/OKxTOKdOebuHMoPRqvEDHV+bKhgOn/Rw6Vy8qb91Z13gfABBAAAEEEEAAAQQQQAABBBBwQoDzNSdU6VNFgABERYu2RgmwQTtT7k8W7ZB+AQKQqwtkl9nPtXJmUHo1XiBYANKpWlEZdxcBiPELBAAEEEAAAQQQQAABBBBAAAFHBDhfc4SVThUECEAUsGhqlgAbtDP1/njhDun/s/8TICXyZpMFL7Z2ZlB6NV6AAMT4JQAAAggggAACCCCAAAIIIIBABAQ4X4sAOkNeJkAAwoJAIIgAG7QzS+OjBdtlwC/r/DovlCtWlvVu68yg9Gq8QIeX58rGg/6vwOpYtai83ZUnQIxfIAAggAACCCCAAAIIIIAAAgg4IsD5miOsdKogQACigEVTswTYoJ2p94cLtsvAAAFI3uyZ5c9+7Z0ZlF6NFyAAMX4JAIAAAggggAACCCCAAAIIIBABAc7XIoDOkJcJEICwIBAIIsAG7czS+GD+dhn0q/8TIDmyxMjaQR2dGZRejRdo//Ic2XTwjJ9Dh6pFZHzXesb7AIAAAggggAACCCCAAAIIIICAEwKcrzmhSp8qAgQgKlq0NUqADdqZcr8/f7sMDhCAZInJKJuGdnJmUHo1XiBYANK+ShF5524CEOMXCAAIIIAAAggggAACCCCAAAKOCHC+5ggrnSoIEIAoYNHULAE2aGfq/d68bTLkt/UBO98+vLNkyJDBmYHp1WiBdmPnyOZD/k+AEIAYvSyYPAIIIIAAAggggAACCCCAgMMCnK85DEz3IQUIQEIS0cBUATZoZyp/pQBk89BOkjkmozMD06vRAm3HzpEtAQKQdlWKyLs8AWL02mDyCCCAAAIIIIAAAggggAACzglwvuacLT3bEyAAsedEKwMF2KCdKfo7c7fKsIkbAna+blAHyZ4lkzMD06vRAgQgRpefySOAAAIIIIAAAggggAACCERIgPO1CMEzbKoAAQiLAYEgAmzQziyN8XO2yvBJgQOQlf3aS57smZ0ZmF6NFmgzZrZsPXzWz6Bt5SLy3j18A8ToxcHkEUAAAQQQQAABBBBAAAEEHBPgfM0xWjq2KUAAYhOKZuYJsEE7U/O352yVEUECkGW920qhXLHODEyvRgu0HjNbtgUMQArLe/dca7QNk0cAAQQQQAABBBBAAAEEEEDAKQHO15ySpV+7AgQgdqVoZ5wAG7QzJR83e6u8NDnwEyALX2wtxfNmc2ZgejVagADE6PIzeQQQQAABBBBAAAEEEEAAgQgJcL4WIXiGTRUgAGExIBBEgA3amaXx1uwtMnLyxoCdz3mupVxVIIczA9Or0QKtR8+WbUf8X4HVplJhef9engAxenEweQQQQAABBBBAAAEEEEAAAccEOF9zjJaObQoQgNiEopl5AmzQztT8zVlbZNSUwAHI9KebS/nCuZwZmF6NFiAAMbr8TB4BBBBAAAEEEEAAAQQQQCBCApyvRQieYVMFCEBYDAgEEWCDdmZpXCkAmfh4M6lSPLczA9Or0QKtRs+W7QGeAGldqbB8wBMgRq8NJo8AAggggAACCCCAAAIIIOCcAOdrztnSsz0BAhB7TrQyUIAN2pmivzFzs4yeuilg5z890kRqlsrrzMD0arRAy1GzZMfROD+DVtcUkg/vq2+0DZNHAAEEEEAAAQQQQAABBBBAwCkBzteckqVfuwIEIHalaGecABu0MyV/fcZmGTMtcADy7UONpN7V+Z0ZmF6NFiAAMbr8TB4BBBBAAAEEEEAAAQQQQCBCApyvRQieYVMFCEBYDAgEEWCDdmZpvDp9s7w8PXAA8vl/G0jjcgWdGZhejRZoMWqW7AzwBEjLawrJRzwBYvTaYPIIIIAAAggggAACCCCAAALOCXC+5pwtPdsTIACx50QrAwXYoJ0p+ivTN8kr0zcH7Pzj++tLi4qFnBmYXo0WaD5yluw65v8KLGu9WeuOHwIIIIAAAggggAACCCCAAAII6BfgfE2/KT2qCRCAqHnR2iABNmhniv3ytE3y6ozAAch7d9eTtlWKODMwvRotQABidPmZPAIIIIAAAggggAACCCCAQIQEOF+LEDzDpgoQgLAYEAgiwAbtzNIYO22TvBYkABl3Zx3pVL2YMwPTq9ECzUbOlN3HzvkZNK9YSD7hCRCj1waTRwABBBBAAAEEEEAAAQQQcE6A8zXnbOnZngABiD0nWhkowAbtTNHHTt0or83cErDzV/9TS26sVcKZgenVaAECEKPLz+QRQAABBBBAAAEEEEAAAQQiJMD5WoTgGTZVgACExYBAEAE2aGeWxpipG+X1IAHI6P+rKf+uW9KZgenVaIGmL82UPcf9nwBpVqGgfNqtgdE2TB4BBBBAAAEEEEAAAQQQQAABpwQ4X3NKln7tChCA2JWinXECbNDOlHz0lI3yxqzAT4AMv7m63F6/tDMD06vRAk1GzJS9JwhAjF4ETB4BBBBAAAEEEEAAAQQQQCDsApyvhZ2cAf8hQADCkkAgiAAbtDNLY9SUDfLmrK0BOx90Y1W5u9HVzgxMr0YLEIAYXX4mjwACCCCAAAIIIIAAAgggECEBztciBM+wqQIEICwGBAhAwroGXpq8QcbNDhyA9LmusnRvVjas98NgZggEC0Cali8on3XnFVhmrAJmiQACCCCAAAIIIIAAAgggEG4BApBwizPePwUIQFgTCBCAhHUNjJi0Qd6eEzgAeaFjJenRslxY74fBzBBoPHyG7DsZ7zdZAhAz6s8sEUAAAQQQQAABBBBAAAEEIiNAABIZd0b9nwABCKsBAQKQsK6B4ZPWy/g52wKO+XS7ivJ4mwphvR8GM0MgWADSpHwBmdC9oRkIzBIBBBBAAAEEEEAAAQQQQACBMAsQgIQZnOH8BAhAWBQIEICEdQ0Mn7hexs8NHIA81rq8PNP+mrDeD4OZIdBo+AzZH+AJkMblCsjn/yUAMWMVMEsEEEAAAQQQQAABBBBAAIFwCxCAhFuc8f4pQADCmkCAACSsa2DYxPXyTpAA5MEWZaVnp8phvR8GM0OAAMSMOjNLBBBAAAEEEEAAAQQQQAABdwkQgLirHibeDQGIiVVnzrYE2KBtMSk3GvrbOnl33vaA13VrWkb6dqmi3CcXIBBKoOGwGXLglP83QBqVLSBfPMATIKH8+DsCCCCAAAIIIIAAAggggAACaRHgfC0talyjU4AARKcmfXlKgA3amXIO+XWdvDc/cAByd6OrZNCN1ZwZmF6NFmgwbLocPHXez4AAxOhlweQRQAABBBBAAAEEEEAAAQQcFuB8zWFgug8pQAASkogGpgqwQTtT+cG/rpP3gwQgt9cvJcNvruHMwPRqtECwAKRh2fzy5QONjLZh8ggggAACCCCAAAIIIIAAAgg4JcD5mlOy9GtXgADErhTtjBNgg3am5IN+WScfLAj8BMgtdUrKmFtrOjMwvRotUH/odDl02v8JkAZl8stXDxKAGL04mDwCCCCAAAIIIIAAAggggIBjApyvOUZLxzYFCEBsQtHMPAE2aGdqPuDntfLRwh0BO7+hZnF57fbazgxMr0YLXDt0uhwmADF6DTB5BBBAAAEEEEAAAQQQQACB8AtwvhZ+c0a8XIAAhBWBQBABNmhnlsaVApBO1YrKuLvqOjMwvRotECwAqV8mv3zNEyBGrw0mjwACCCCAAAIIIIAAAggg4JwA52vO2dKzPQECEHtOtDJQgA3amaL3/2mNfLxoZ8DO21YuLO/dc60zA9Or0QL1hkyXI2f8X4FFAGL0smDyCCCAAAIIIIAAAggggAACDgtwvuYwMN2HFCAACUlEA1MF2KCdqXy/n9bIJ0ECkOYVC8kn99d3ZmB6NVogaABydX75+iG+AWL04mDyCCCAAAIIIIAAAggggAACjglwvuYYLR3bFCAAsQlFM/ME2KCdqXnfH9fIp4sDPwHSqGwB+eKBhs4MTK9GC9QbMk2OnEnwM7j26nzyzUONjbZh8ggggAACCCCAAAIIIIAAAgg4JcD5mlOy9GtXgADErhTtjBNgg3am5H1+XC2fLd4VsPN6V+WTb3twGO2MvNm91h08TY6eJQAxexUwewQQQAABBBBAAAEEEEAAgXALcL4WbnHG+6cAAQhrAoEgAmzQziyN3j+slglLAgcgNUvmkZ8eberMwPRqtECwAITQzehlweQRQAABBBBAAAEEEEAAAQQcFuB8zWFgug8pQAASkogGpgqwQTtT+V4/rJbPgwQglYvllklPNHNmYHo1WqDO4GlyLMATIAQgRi8LJo8AAggggAACCCCAAAIIIOCwAOdrDgPTfUgBApCQRDQwVYAN2pnK9/x+tXyxNPATIOUK5ZAZz7R0ZmB6NVqg9qCpcjwu0c+g7lX55Dteu2b02mDyCCCAAAIIIIAAAggggAACzglwvuacLT3bEyAAsedEKwMF2KCdKfqL362SL5ftDth52YI5ZOazBCDOyJvda7AApE7pvPL9w03MxmH2CCCAAAIIIIAAAggggAACCDgkwPmaQ7B0a1uAAMQ2FQ1NE2CDdqbiL3y7Sr5aHjgAKVMwh8wiAHEG3vBeaw2aKicCPAFCAGL4wmD6CCCAAAIIIIAAAggggAACjgpwvuYoL53bECAAsYFEEzMF2KCdqfvz366Ur5fvCdj5VQWyy5znWjkzML0aLRAsAKldOq/8wBMgRq8NJo8AAggggAACCCCAAAIIIOCcAOdrztnSsz0BAhB7TrQyUIAN2pmiP/fNSvlmReAApHT+7DL3eQIQZ+TN7rXmwKly8pz/N0AIQMxeF8weAQQQQAABBBBAAAEEEEDAWQHO15z1pffQAgQgoY1oYagAG7QzhX/2m5XybZAApGS+bDL/hdbODEyvRgvUGDBFTsUn+RnUKpVXfnyEb4AYvTiYPAIIIIAAAggggAACCCCAgGMCnK85RkvHNgUIQGxC0cw8ATZoZ2r+zNcr5bvfAz8BUiJvNlnwIgGIM/Jm9xosAKlZKq/8RABi9uJg9ggggAACCCCAAAIIIIAAAo4JcL7mGC0d2xQgALEJRTPzBNig9dZ888HTsnTHMXlv3nbZfuRswM6L58kqC3u20TswvSEgItUHTJHTAZ4AIQBheSCAAAIIIIAAAggggAACCCDgnADna87Z0rM9AQIQe060MlCADVpf0X9dtU8e/+IPSU65cp/F8mSVRQQg+uDpKVWgev8pcvq8/yuwapbMIz892hQpBBBAAAEEEEAAAQQQQAABBBBwQIDzNQdQ6VJJgABEiYvGJgmwQeurdusxs2Xb4cBPfVw6SpHcsbKkV1t9A9MTAn8LEICwFBBAAAEEEEAAAQQQQAABBBAIvwDna+E3Z8TLBQhAWBEIBBFgg9azNBKSkqVin0m2OiucK1aW9iYAsYVFIyWBav2nyJkAT4DUKJlHfuYJECVLGiOAAAIIIIAAAggggAACCCBgV4DzNbtStHNKgADEKVn6jXoBNmg9JTyfdEGu6TPZVmcFc8bK8j4EILawaKQkECwAqV4ij/zyGK/AUsKkMQIIIIAAAggggAACCCCAAAI2BThfswlFM8cECEAco/Vmx4cPH5Zvv/1WfvzxR9myZYvs379fUlJSpGDBglK5cmVp3ry5tG7dWho0aCAxMTEhEVavXi0ffvihTJ8+Xfbs2SMJCQlSokQJqVevnnTt2lU6duwYsg+nGrBB65FVC0CyyPI+7fQMTC8IXCJQtd9kOZtwwc+EAIRlggACCCCAAAIIIIAAAggggIBzApyvOWdLz/YECEDsORnfKjk5WV5//XXp06ePnDlzJqTHsmXLfCFGsF9SUpL069dPXnrpJbH6Dvbr0qWLfPDBB1KoUKGQY+puwAatRzQ+8YJU6mvvCZD8ObLI730JQPTI08ulAlX6TZa4AAFItRK55dfHmoGFAAIIIIAAAggggAACCCCAAAIOCHC+5gAqXSoJEIAocZnZ2AorbrvtNvn+++8vAyhbtqzvaQ3rd+DAAdm6dWtqmBEqAOnWrZsv2Lj4y5w5s1SpUkVy5swpGzZskKNHj6b+rWbNmrJgwQLJkSNHWAvABq2HWyUAyZc9s/zRr72egekFgUsEggUgVYvnlt8eJwBhsSCAAAIIIIAAAggggAACCCDghADna06o0qeKAAGIipahbe+88075/PPPfbPPlCmTPPHEE/LYY4/JVVdddZnIqVOnZOrUqfLRRx/J4MGDpXbt2gHF3nnnHXnwwQdT/3bDDTfIW2+9lRqmJCYmyvjx4+Wpp54SK3yxfnfccYdMmDAhrBVgg9bDfS7hglTuZ+8JkLzZM8ufBCB64OnlMoHKfSfLuUT/V2ARgLBQEEAAAQQQQAABBBBAAAEEEHBOgPM152zp2Z4AAYg9J2NbWcGHFYBYv2zZsskvv/wibdq0SbNHXFyclCtXzvfEiPVr2bKl7/sfgb4X8v7770v37t197TJkyCDLly+XOnXqpHls1QvZoFXFArePS0iSKv2m2Oosd9ZMsmpAB1ttaYSAikClvpMkPtH/dXtViuWWiU/wBIiKJW0RQAABBBBAAAEEEEAAAQQQsCvA+ZpdKdo5JUAA4pSsB/q1vvVhvebK+vC59bOe0ujRo0e6ZjZu3Dh5+OGHfX1Yoca6deukUqVKQfts2LChLFmyxPf3W2+9Vb766qt0ja9yMRu0ilbwtmfPJ0nV/vYCkFxZM8lqAhA98PRymQABCAsCAQQQQAABBBBAAAEEEEAAgfALcL4WfnNGvFyAAIQVEVTg3XfflQceeMD394oVK8r69eslY8aM6RJr27atzJgxw9eH9fTHrFmzrtjfhx9+KPfff7+vjfV9kCNHjkhsbGy67sHuxWzQdqWu3O50fKJUHzDVVmc5YzPJmoE8AWILi0ZKAtf0mSTnk/yfAKlcLLdM4gkQJUsaI4AAAggggAACCCCAAAIIIGBXgPM1u1K0c0qAAMQpWQ/026BBA1m6dKlvJoMGDZK+ffuma1bWEyX58+cX6xsf1m/EiBHywgsvXLFP61VZxYoVS20zZcoUad8+PB/JZoNOV7lTLz4Vnyg1bAYgObLEyNpBHfUMTC8IXCIQLACpVDSXTH6yOVYIIIAAAggggAACCCCAAAIIIOCAAOdrDqDSpZIAAYgSlzmNT548Kfny5ZOUlBTfpOfPny9NmjRJF4AVplihysXfnDlzpHnz0AePZcqUkR07dvguGzlypDz33HPpug+7F7NB25W6cruT5xKl5kB7T4Bkyxwj6wcTgOiRp5dLBSr2mSQJAZ4AIQBhnSCAAAIIIIAAAggggAACCCDgnADna87Z0rM9AQIQe07GtbI+TN6uXbvUeVuBSO7cuWXhwoXyzjvvyLx582Tv3r2SPXt2sTay1q1by7333iu1atUKavXxxx/72lz87dmzR0qUKBHS9tLXZt13333ywQcfhLxGRwM2aB2KIifjEqXmIHsBSNbMGWXD4E56BqYXBC4RqNh7kiRc8H8FFgEIywQBBBBAAAEEEEAAAQQQQAAB5wQ4X3POlp7tCRCA2HMyrtXYsWPlmWee8c07R44ccuzYMXn88cdl/PjxQS2sj5p369ZN3nzzTcmSJYtfO+s1Wv379/f965kyZZLz58/b+qaI9Q0Q61sg1q9Vq1Yyc+bMsNSDDVoP84m4BKk1aJqtzrJkyiibhhCA2MKikZIAAYgSF40RQAABBBBAAAEEEEAAAQQQ0CLA+ZoWRjpJhwABSDrwvHxp7969ZdiwYb4pFi1aVNq0aSMTJkzw/XNMTIxUr17d94os6ymOzZs3X0ZhPbExefJkX7tLf88++6yMGTPG9y9Z11qhip3fk08+Ka+++qqvab169WTZsmV2LgvYxgp2rP9n57d//35JTk72PaVizZNf2gSOn02Q2oNtBiAxGWXTUAKQtElz1ZUEKvSeKIkX/nql36W/a4rkkilPhX4VH7oIIIAAAggggAACCCCAAAIIIKAuQACibsYVegUIQPR6eqa3Rx991Pckxz9/t99+uy9AsEKRi7+VK1dK9+7dZfny5an/Wr9+/WTgwIGXXd6jRw95++23ff+a9WHzffv22fLq2bOn74Pp1q9y5cqybt06W9cFajRgwAC/+wrVGQFIKKEr//3Y2QSpYzMAyZQxg2wZ1jl9A3I1AgEEyveaKEnJ/gFIxSI5ZepTLTBDAAEEEEAAAQQQQAABBBBAAAEHBAhAHEClSyUBAhAlLnMaW4HG+++/f9mE77jjjtSnQP4pcfr0aWnYsGFqOGG9NmvXrl2SP3/+1KaX9lmqVCnf3+38+vbtK0OGDPE1LVeunGzZssXOZQHb8ARImunSfOGRM+el3pDptq6PyZhBthKA2LKikZoAAYiaF60RQAABBBBAAAEEEEAAAQQQ0CFAAKJDkT7SI0AAkh49D1/7xBNPyGuvvZY6w2zZssnu3bulQIECQWc9depU6dChQ+rfx40bJw899FDqP1vfEHn99dd9/1yoUCE5dOiQLcHnnntORo8e7Wtbo0YNsZ44CcePDVqP8uHT5+XaofYCkAwZRLYPv07PwPSCwCUC5XpNlAsBngCpUDinTHuaJ0BYLAgggAACCCCAAAIIIIAAAgg4IcD5mhOq9KkiQACiomVQ20u/AWJN++abb5bvvvvuigIpKSm+V2NdDDas12V9/vnnqdf06tVLhg8f7vvnnDlzivXUiJ3fI488Im+99ZavaePGjWXBggV2Lkt3GzbodBP6Ojh0Ol7qD51hu7MdIwhAbGPR0LYAAYhtKhoigAACCCCAAAIIIIAAAgggoE2A8zVtlHSURgECkDTCef2yl19+WZ5++unUaVqvoLJCkVC/jh07ypQpU3zNGjRoIIsXL069xHr91DPPPJP6z1YAYgUhoX633HKLfP/9975m119/vfz888+hLtHydzZoLYxy6FS81B9mPwDZPryzZLAeBeGHgEaBsj1/kwAPgEj5wjllOk+AaJSmKwQQQAABBBBAAAEEEEAAAQT+J8D5Gqsh0gIEIJGugEvHnzx5snTq1Cn17v75Oqtgt33nnXemPvVRsWJF2bhxY2rT3377Tbp06ZL6z2vXrpUqVaqEFKhfv74sW7bM1856HdbIkSNDXqOjARu0DkWRg6fipYFCALJtWGfJmJEARI8+vVwUKNPzN0nx/wa6lCuUQ2Y80xIoBBBAAAEEEEAAAQQQQAABBBBwQIDzNQdQ6VJJgABEicucxtb3PkqXLp064VdeeUWs74KE+l36tMY/v9exbds230fML/4mTJgg1ofVr/RLTEyUPHnyyLlz53zNPvjgA7nvvvtC3YaWv7NBa2GUAyfjpeFw+0+AWB9Btz6Gzg8BnQIEIDo16QsBBBBAAAEEEEAAAQQQQAABewKcr9lzopVzAgQgztlGfc9WWGGFFtbPCj+sECTUr27duvL777/7mrVr106sD6Nf+itVqpTs2bPH9y/16NEj9dsewfq1XqHVqFGj1D9v2bLlshAl1P2k5+9s0OnR+9+1+07HocKkAAAgAElEQVSck8YjZtrubPPQTpI5JqPt9jREwI7A1S/+FrBZ2UI5ZCZPgNghpA0CCCCAAAIIIIAAAggggAACygKcrymTcYFmAQIQzaBe6u7ZZ5+VMWPG+KZkvarKemXVlX4HDx4Ua1NLSkryNevbt68MGjTosksu/aB5wYIFZe/evZIlS5ag3T722GPyxhtv+P5etWpVWbNmTdiI2aD1UO89cU6aKAQgm4Z0kiyZCED06NPLRQECENYCAggggAACCCCAAAIIIIAAAuEX4Hwt/OaMeLkAAQgrIqiAFXhYr7FKTk72tfnpp5/khhtuCNre+j7H6NGjU/++fPlysZ4IufRnfcvD+qbHxd9rr70mVsgR6Gc9KWIFL9bH0q3fqFGjxAplwvVjg9Yjved4nDR9aZbtzjYM7ihZM8fYbk9DBOwIBA1ACuaQmc/yDRA7hrRBAAEEEEAAAQQQQAABBBBAQFWA8zVVMdrrFiAA0S3qsf7uuece+eSTT3yzKlSokEyfPt0Xivzz9+WXX8pdd90lFy5c8P2pQ4cOYn1IPdDvxhtvlJ9//tn3p5w5c/raNWnS5LKmp06d8n0wfd68eb5/vVixYrJ161bJli1b2ITZoPVQ7z4WJ81GEoDo0aSXtAikpKRImZ4TA15apmAOmUUAkhZWrkEAAQQQQAABBBBAAAEEEEAgpADnayGJaOCwAAGIw8DR3v2hQ4ekYcOGsn37dt9UYmNjpXv37tK+fXvJly+fWB9L/+abb+THH39Mnar1aqsVK1Zc9hH1Sx127Njhewrk8OHDqX1269bN16cViKxatUpef/311DEzZszo6//6668PKycbtB5u1QBk3aAOkj1LJj2D0wsCIkIAwjJAAAEEEEAAAQQQQAABBBBAIDICnK9Fxp1R/ydAAMJqCCmwYcMG3xMdu3btCtm2ePHi8ssvv0idOnWu2HbhwoW+QOPYsWNXbBcTEyOvvvqqWN8OCfePDVqP+K6jcdJ8lP0nQNYO7CA5YglA9OjTiyWQnJwiZXsFfgLk6gLZZfZzrYBCAAEEEEAAAQQQQAABBBBAAAEHBDhfcwCVLpUECECUuMxtbL2S6sUXX5RPP/1Uzpw54weRNWtWuf/++6Vfv35SpEgRW1DWB9CfeOIJ37dFLn44/dILradEXnnlFWnUqJGt/nQ3YoPWI7rz6FlpMWq27c5WD2gvubJmtt2ehgiEEriQnCLlCEBCMfF3BBBAAAEEEEAAAQQQQAABBLQLcL6mnZQOFQUIQBTBTG8eFxcnc+bMkZ07d/qe3sibN6+UL19emjVrlubvc1ivwpo7d65YHz1PSEgQ6ymSa6+9VipWrBhRbjZoPfzbj5yVVqPtByCrBrSX3AQgevDpxSdwpQDkqgLZZQ5PgLBSEEAAAQQQQAABBBBAAAEEEHBEgPM1R1jpVEGAAEQBi6ZmCbBB66n3tsNnpPWYObY7W9mvveTJzhMgtsFoGFIg6UKylO89KWC70vmzy9zneQVWSEQaIIAAAggggAACCCCAAAIIIJAGAc7X0oDGJVoFCEC0ctKZlwTYoPVUc+vhM9JGIQD5s187yZs9i57B6QUBESEAYRkggAACCCCAAAIIIIAAAgggEBkBztci486o/xMgAGE1IBBEgA1az9LYcuiMtB1r/wmQ3/u2k/w5CED06NOLJZB4IVkqBHkCpFT+bDLv+dZAIYAAAggggAACCCCAAAIIIICAAwKcrzmASpdKAgQgSlw0NkmADVpPtbccOi1tx8613dmKPm2lQM5Y2+1piEAogYSkZKnYJ/ArsAhAQunxdwQQQAABBBBAAAEEEPinQEpKimw6eEbyZc8shXNnBQgBBK4gwPkayyPSAgQgka4A47tWgA1aT2k2Hzwt7V62H4As691WCuUiANGjTy+WwJUCkJL5ssn8F3gChJWCAAIIIIAAAggggAAC9gROxCVI1/eXyuq9J30X3N+kjPTtUlkyZMhgrwNaIWCYAOdrhhXchdMlAHFhUbgldwiwQeupw8YDp6XDK/YDkKW920jhXPwvaPTo04slcD7pglzTZ3JAjBJ5s8mCFwlAWCkIIIAAAggggAACCCBgT2D4pPUyfs62yxp/16OR1L0qv70OaIWAYQKcrxlWcBdOlwDEhUXhltwhwAatpw4bDpySjq/Ms93Z0l5teITYthYN7QjEJ16QSn0JQOxY0QYBBBBAAAEEEEAAAQSuLHD1i7/5NWhWoaB82q0BdAggEECA8zWWRaQFCEAiXQHGd60AG7Se0qzff0o6vWo/AFncs40UzcMTIHr06cUSIABhHSCAAAIIIIAAAggggIAugUABSJHcsbKkV1tdQ9APAp4S4HzNU+WMyskQgERl2bjpcAiwQetRXrfvlHR+zX4AsqhnaymWJ5uewekFgRABSPE8WWVhzzY4IYAAAggggAACCCCAAAK2BAhAbDHRCIFUAc7XWAyRFiAAiXQFGN+1AmzQekqzdt9Jue61+bY7s77HYH2XgR8CugSu9AQIAYguZfpBAAEEEEAAAQQQQMAMAQIQM+rMLPUJcL6mz5Ke0iZAAJI2N64yQIANWk+R1+w9KV1etx+AzH+hlZTMl13P4PSCgIicS7gglfsF/gZIsTxZZRFPgLBOEEAAAQQQQAABBBBAwKYAAYhNKJoh8LcA52sshUgLEIBEugKM71oBNmg9pVENQOY930pK5ScA0aNPL5ZAXEKSVOk3JSAGAQhrBAEEEEAAAQQQQAABBFQECEBUtGiLgAjna6yCSAsQgES6AozvWgE2aD2lWbXnhNzwxgLbnc19rpWULkAAYhuMhiEFrhSAFM2dVRb34hsgIRFpgAACCCCAAAIIIIAAAj4BAhAWAgJqApyvqXnRWr8AAYh+U3r0iAAbtJ5Crtx9Qm58034AMvvZlnJ1wRx6BqcXBETk7Pkkqdo/8BMgRXLHypJebXFCAAEEEEAAAQQQQAABBGwJEIDYYqIRAqkCnK+xGCItQAAS6QowvmsF2KD1lObP3SfkXwoByKxnW0oZAhA9+PTiEzhzPkmqEYCwGhBAAAEEEEAAAQQQQECDAAGIBkS6MEqA8zWjyu3KyRKAuLIs3JQbBNig9VThj13H5aa3FtrubMYzLaRcoZy229MQgVACVwpACueKlaW9eQIklCF/RwABBBBAAAEEEEAAgb8ECEBYCQioCXC+puZFa/0CBCD6TenRIwJs0HoK+fuu43KzQgAy/ekWUr4wAYgefXqxBE7HJ0r1AVMDYhCAsEYQQAABBBBAAAEEEEBARYAAREWLtgjwEXTWQOQFCEAiXwPuwKUCBCB6CrNi53G5ZZz9J0CmPdVcKhTJpWdwekEgRABSKFesLOMJENYJAggggAACCCCAAAII2BQgALEJRTME/hbgfI2lEGkBApBIV4DxXSvABq2nNCt2HpNbxi2y3dnUp5pLRQIQ2140DC1wKj5RagR5AqRgzlhZ3odXYIVWpAUCCCCAAAIIIIAAAghYAgQgrAME1AQ4X1PzorV+AQIQ/ab06BEBNmg9hVy245j839v2A5DJTzaTSkVz6xmcXhAQkZPnEqXmwMCvwCIAYYkggAACCCCAAAIIIICAigABiIoWbRHgFVisgcgLEIBEvgbcgUsFCED0FGbp9mNy63j7AcikJ5pJ5WIEIHr06cUSuHIAkkWW92kHFAIIIIAAAggggAACCCBgS4AAxBYTjRBIFeB8jcUQaQECkEhXgPFdK8AGrac0S7YdldveWWy7s4mPN5MqxQlAbIPRMKTAybhEqTko2BMgBCAhAWmAAAIIIIAAAggggAACqQIEICwGBNQEOF9T86K1fgECEP2m9OgRATZoPYVcvO2o/EchAPn1saZSrUQePYPTCwIiciIuQWoNmhbQokCOLLKiL0+AsFAQQAABBBBAAAEEEEDAnkCgAKRo7qyyuFcbex3QCgHDBDhfM6zgLpwuAYgLi8ItuUOADVpPHRZtPSq3v2v/CRACED3u9PI/gSsFIPlzZJHfCUBYLggggAACCCCAAAIIIGBTgADEJhTNEPhbgPM1lkKkBQhAIl0BxnetABu0ntIs3HpE7nh3ie3Ofn60idQomdd2exoiEErg+NkEqT048BMgBCCh9Pg7AggggAACCCCAAAIIXCpAAMJ6QEBNgPM1NS9a6xcgANFvSo8eEWCD1lPIBVuOyJ3v2Q9AfnqkidQsRQCiR59eLIErBSD5smeWP/q1BwoBBBBAAAEEEEAAAQQQsCVAAGKLiUYIpApwvsZiiLQAAUikK8D4rhVgg9ZTmvmbj8hd79sPQH54uLHULp1Pz+D0goCIHDubIHWCPAFCAMISQQABBBBAAAEEEEAAARUBAhAVLdoiIML5Gqsg0gIEIJGuAOO7VoANWk9p5m0+LF3fX2q7s+8fbix1CEBse9EwtMDRM+el7pDpARvmzZ5Z/uQJkNCItEAAAQQQQAABBBBAAAGfAAEICwEBNQHO19S8aK1fgABEvyk9ekSADVpPIeduOix3f2A/APmuRyOpe1V+PYPTCwIicqUAJE+2zLKyP6/AYqEggAACCCCAAAIIIICAPQECEHtOtELgogDna6yFSAsQgES6AozvWgE2aD2lmbPpsNyjEIB8+1AjqXc1AYgefXqxBI6cOS/1gjwBQgDCGkEAAQQQQAABBBBAAAEVAQIQFS3aIsArsFgDkRcgAIl8DbgDlwoQgOgpzOyNh+TeD5fZ7uzrBxtJ/TIEILbBaBhS4PDp83Lt0MCvwMqdNZOsGtAhZB80QAABBBBAAAEEEEAAAQQsAQIQ1gECagKcr6l50Vq/AAGIflN69IgAG7SeQs7aeEjuUwhAvnqgoTQoW0DP4PSCgIgQgLAMEEAAAQQQQAABBBBAQJcAAYguSfoxRYDzNVMq7d55EoC4tzbcWYQF2KD1FGDmhoNy/0fLbXf2xX8bSqNyBCC2wWgYUuDQ6XipP3RGwHa5smaS1TwBEtKQBggggAACCCCAAAIIIPCXAAEIKwEBNQHO19S8aK1fgABEvyk9ekSADVpPIWesPyjdPrYfgHz+3wbSuFxBPYPTCwIicsUAJDaTrB7IK7BYKAgggAACCCCAAAIIIGBPIFAAUiR3rCzp1dZeB7RCwDABztcMK7gLp0sA4sKicEvuEGCD1lOH6esOSvdP7AcgE7o3kCblCUD06NOLJXDoVLzUHxbkCRACEBYJAggggAACCCCAAAIIKAgQgChg0RQB4SPoLILICxCARL4G3IFLBQhA9BRm2rqD8l+FAOSzbg2kaQUCED369GIJHDwVLw2CBCA5YzPJGp4AYaEggAACCCCAAAIIIICATQECEJtQNEPgbwHO11gKkRYgAIl0BRjftQJs0HpKM3XtAXng0xW2O/u0W31pVqGQ7fY0RCCUAAFIKCH+jgACCCCAAAIIIIAAAnYFCEDsStEOgb8EOF9jJURagAAk0hVgfNcKsEHrKc2UtQfkQYUA5OP760uLigQgevTpxRI4cDJeGg4P/AqsHFliZO2gjkAhgAACCCCAAAIIIIAAArYECEBsMdEIgVQBztdYDJEWIACJdAUY37UCbNB6SjN5zX556LPfbXf20X3XSstrCttuT0MEQgnsP3lOGg2fGbBZ9iwxso4AJBQhf0cAAQQQQAABBBBAAIG/BQhAWAoIqAlwvqbmRWv9AgQg+k3p0SMCbNB6Cjlp9X7pMcF+APLhvddKq0oEIHr06cUSIABhHSCAAAIIIIAAAggggIAuAQIQXZL0Y4oA52umVNq98yQAcW9tuLMIC7BB6ynAxNX75WGFAOSDe+tJ60pF9AxOLwiIyL4T56TxiMBPgGTLHCPrB/MKLBYKAggggAACCCCAAAII2BMgALHnRCsELgpwvsZaiLQAAUikK8D4rhVgg9ZTmt9W7ZdHPrf/BMh7d9eTtlUIQPTo04slQADCOkAAAQQQQAABBBBAAAFdAgQguiTpxxQBztdMqbR750kA4t7acGcRFmCD1lOAX1ftk0c//8N2Z+/eXU/aEYDY9qJhaIG9J85JkyBPgGTNnFE2DO4UuhNaIIAAAggggAACCCCAAAIiQgDCMkBATYDzNTUvWusXIADRb0qPHhFgg9ZTyF9W7pPHvrAfgIzvWlc6VC2qZ3B6QUBE9hyPk6YvzQpoEZspo2wcQgDCQkEAAQQQQAABBBBAAAF7AgQg9pxohcBFAc7XWAuRFiAAiXQFGN+1AmzQekrz88p98rhCAPL2XXWlYzUCED369GIJEICwDhBAAAEEEEAAAQQQQECXAAGILkn6MUWA8zVTKu3eeRKAuLc23FmEBdig9RTgpz/3yhNf/mm7s3F31pFO1YvZbk9DBEIJ7D4WJ81GBn4CJEumjLKJJ0BCEfJ3BBBAAAEEEEAAAQQQ+FuAAISlgICaAOdral601i9AAKLflB49IsAGraeQP/6xV578yn4A8taddaQzAYgefHrxCVwxAInJKJuG8goslgoCCCCAAAIIIIAAAgjYEyAAsedEKwQuCnC+xlqItAABSKQrwPiuFWCD1lOaH/7YI099tdJ2Z2/cUVu61Chuuz0NEQglQAASSoi/I4AAAggggAACCCCAgF0BAhC7UrRD4C8BztdYCZEWIACJdAUY37UCbNB6SvP973vk6a/tByCv315brq9JAKJHn14sgV1H46T5qMCvwMock0E2D+0MFAIIIIAAAggggAACCCBgS4AAxBYTjRBIFeB8jcUQaQECkEhXgPFdK8AGrac0363YI898Yz8AefU/teTGWiX0DE4vCBCAsAYQQAABBBBAAAEEEEBAowABiEZMujJCgPM1I8rs6kkSgLi6PNxcJAXYoPXof7tijzxLAKIHk17SJLDz6FlpMWp2wGszZcwgW4bxBEiaYLkIAQQQQAABBBBAAAEDBQhADCw6U06XAOdr6eLjYg0CBCAaEOnCmwJs0Hrq+s3y3fLct6tsd/bKbbXkX7V5AsQ2GA1DCuw4clZajg4cgMRkzCBbCUBCGtIAAQQQQAABBBBAAAEE/hIgAGElIKAmwPmamhet9QsQgOg3pUePCLBB6ynk18t2y/Pf2Q9Axt5aU26uU1LP4PSCgIgQgLAMEEAAAQQQQAABBBBAQJcAAYguSfoxRYDzNVMq7d55EoC4tzbcWYQF2KD1FOCrZbvkhe9W2+5szP/VlFvqEoDYBqNhSIHtR85KqyBPgGTMILJt+HUh+6ABAggggAACCCCAAAIIIGAJEICwDhBQE+B8Tc2L1voFCED0m9KjRwTYoPUU8sulu+TF7+0HIKP+XUP+r14pPYPTCwIisu3wGWk9Zk5ACwIQlggCCCCAAAIIIIAAAgioCBCAqGjRFgERztdYBZEWIACJdAUY37UCbNB6SvPF0l3SUyEAGfnvGnIrAYgefHrxCVwpAMmQQWQ7T4CwUhBAAAEEEEAAAQQQQMCmAAGITSiaIfC3AOdrLIVICxCARLoCjO9aATZoPaX5fMku6fWD/SdAXrqlutx2bWk9g9MLAiKy9fAZaRPkCRALaMcIXoHFQkEAAQQQQAABBBBAAAF7AgQg9pxohcBFAc7XWAuRFiAAiXQFGN+1AmzQekozYclO6f3DGtudjbi5uvynPgGIbTAahhQgAAlJRAMEEEAAAQQQQAABBBCwKUAAYhOKZgj8LcD5Gksh0gIEIJGuAOO7VoANWk9pPl28U/r+aD8AGXZTdbmjAQGIHn16sQS2HDojbccG/gaI9XeeAGGdIIAAAggggAACCCCAgF0BAhC7UrRD4C8BztdYCZEWIACJdAUY37UCbNB6SvPpoh3S96e1tjsbelM1ubPBVbbb0xCBUAJbDp2WtmPnBm1GABJKkL8jgAACCCCAAAIIIIDARQECENYCAmoCnK+pedFavwABiH5TevSIABu0nkJ+smiH9FMIQAb/q5p0bUgAokefXiyBUAHI9uGdJYP1NXR+CCCAAAIIIIAAAggggEAIAQIQlggCagKcr6l50Vq/AAGIflN69IgAG7SeQn68cIf0/9n+EyCDb6wqXRtdrWdwekFARDYfPC3tXg7+BMi2YZ0lY0YCEBYLAggggAACCCCAAAIIhBYgAAltRAsELhXgfI31EGkBApBIV4DxXSvABq2nNB8t2C4Dfllnu7OBN1SVexoTgNgGo6GfQHJyirwyY7P8unKfFM4dKzfWKiE9v18dVIoAhEWEAAIIIIAAAggggAACdgUIQOxK0Q6BvwQ4X2MlRFqAACTSFWB81wqwQespzYcLtstAhQBkwPVV5N4mZfQMTi9GCrw7d5sMnbje9ty3DussMTwBYtuLhggggAACCCCAAAIImCxAAGJy9Zl7WgQ4X0uLGtfoFCAA0alJX54SYIPWU84P5m+XQb/afwKkX5cqcn9TAhA9+mb2Eui/kFxJggDEzHXCrBFAAAEEEEAAAQQQSIsAAUha1LjGZAHO10yuvjvmTgDijjpwFy4UYIPWU5T35m2TIb/Z/1/j9+1SRboRgOjBN7QX1QBky9BOkikmo6FaTBsBBBBAAAEEEEAAAQRUBAhAVLRoiwCvwGINRF6AACTyNeAOXCpAAKKnMKoBSJ/rKkv3ZmX1DE4vRgqoBiCbh3aSzAQgRq4VJo0AAggggAACCCCAgIpASkqKlOk50e+SIrljZUmvtipd0RYBYwQ4XzOm1K6dKAGIa0vDjUVagA1aTwVUv8fQu3Nl+W9zAhA9+mb2QgBiZt2ZNQIIIIAAAggggAACTgskJ6dI2V7+AUjR3Fllca82Tg9P/whEpQDna1FZNk/dNAGIp8rJZHQKsEHr0Xxn7lYZNnGD7c56da4kDzQvZ7s9DRH4p4BqALJpSCfJkolXYLGSEEAAAQQQQAABBBBA4MoCF5JTpBwBCMsEASUBzteUuGjsgAABiAOodOkNATZoPXUcP2erDJ9kPwB5sVMleagFAYgefTN7IQAxs+7MGgEEEEAAAQQQQAABpwWSLiRL+d6T/IbhCRCn5ek/mgU4X4vm6nnj3glAvFFHZuGAABu0HtS352yVEQoByAsdK0mPlgQgevTN7EU1ANk4pKPEZooxE4tZI4AAAggggAACCCCAgG2BxAvJUoEAxLYXDRGwBDhfYx1EWoAAJNIVYHzXCrBB6ynNW7O3yMjJG2139lyHa+SRVuVtt6chAv8UUA1ANgzuKFkzE4CwkhBAAAEEEEAAAQQQQODKAglJyVKxD0+AsE4QUBHgfE1Fi7ZOCBCAOKFKn54QYIPWU8Y3Z22RUVMIQPRo0osdAQIQO0q0QQABBBBAAAEEEEAAAVWB80kX5Jo+k/0u4xVYqpK0N0mA8zWTqu3OuRKAuLMu3JULBNig9RRBNQB5pl1FeaxNBT2D04uRAgQgRpadSSOAAAIIIIAAAggg4LhAfOIFqdSXAMRxaAbwlADna54qZ1ROhgAkKsvGTYdDgA1aj/IbMzfL6KmbbHf2dLuK8jgBiG0vGvoLEICwKhBAAAEEEEAAAQQQQMAJAQIQJ1Tp0+sCnK95vcLunx8BiPtrxB1GSIANWg/86zM2y5hp9gOQJ9tWkCfbVtQzOL0YKaAagKwf1FGyZeEbIEYuFiaNAAIIIIAAAggggICCwLmEC1K5H0+AKJDRFAE+gs4aiLgAAUjES8ANuFWAAERPZV6bsVnGKgQgT7SpIE+1IwDRo29mL6oByLpBHSR7lkxmYjFrBBBAAAEEEEAAAQQQsC0Ql5AkVfpN8WvPN0BsE9LQQAHO1wwsusumTADisoJwO+4RYIPWU4tXp2+Wl6fbfwLk8dbl5en21+gZnF6MFCAAMbLsTBoBBBBAAAEEEEAAAccFzp5Pkqr9CUAch2YATwlwvuapckblZAhAorJs3HQ4BNig9Si/PG2TvDpjs+3OHmtdXp4hALHtRUN/AdUAZO3ADpIjlidAWEsIIIAAAggggAACCCBwZYEz55OkGgEIywQBJQHO15S4aOyAAAGIA6h06Q0BNmg9dbRef2W9Bsvu75FW5eS5DpXsNqcdAn4CqgHImoEdJCcBCCsJAQQQQAABBBBAAAEEQgicjk+U6gOm+rXiFVgsHQSCC3C+xuqItAABSKQrwPiuFWCD1lOasVM3ymszt9ju7OGW5eT5jgQgtsFoSADCGkAAAQQQQAABBBBAAIGwCJyKT5QaBCBhsWYQ7whwvuadWkbrTAhAorVy3LfjAmzQeojHTN0orysEID1alpMXCED04Bvai+oTIKsHtJdcWTMbqsW0EUAAAQQQQAABBBBAwK7AyXOJUnMgT4DY9aIdApYA52usg0gLEIBEugKM71oBNmg9pRk9ZaO8Mcv+EyAPtigrPTtV1jM4vRgpQABiZNmZNAIIIIAAAggggAACjgucjEuUmoMIQByHZgBPCXC+5qlyRuVkCECismzcdDgE2KD1KI+askHenLXVdmcPNi8rPTsTgNgGo6GfgGoAsmpAe8nNEyCsJAQQQAABBBBAAAEEEAghcCIuQWoNmubXim+AsHQQCC7A+RqrI9ICBCCRrgDju1aADVpPaUZO3iBvzbYfgPy3WRnpfV0VPYPTi5ECqgHIyv7tJU82XoFl5GJh0ggggAACCCCAAAIIKAgcP5sgtQcTgCiQ0RQBXoHFGoi4AAFIxEvADbhVgABET2VGTNogb8+xH4B0b1pG+nQhANGjb2YvBCBm1p1ZI4AAAggggAACCCDgtMCxswlShwDEaWb695gA52seK2gUTocAJAqLxi2HR4ANWo/z8EnrZfycbbY7u79JGel3PQGIbTAa+gkoByD92kue7DwBwlJCAAEEEEAAAQQQQACBKwscPXNe6g6Z7teIV2CxchAILsD5Gqsj0gIEIJGuAOO7VoANWk9phk9cL+Pn2g9A7mtytfS/vqqewenFSAECECPLzqQRQAABBBBAAAEEEHBc4MiZ81KPAMRxZwbwlgDna96qZzTOhgAkGqvGPYdFgPSzctwAACAASURBVA1aD/OwievlHYUA5N7GV8uAGwhA9Oib2YtqAPJnv3aSN3sWM7GYNQIeFFiz96TMWH9ISubLJtfVKCZZM8d4cJZMCQEEEEAAAQQiIXD49Hm5dihPgETCnjGjV4DzteitnVfunADEK5VkHtoF2KD1kA79bZ28O2+77c7uaXSVDLyxmu32NETgnwKqAcgffdtJvhwEIKwkBLwgMGvjIfnvx8slKTnFN51mFQrKx/fVl4wZM3hheswBAQQQQMCDAikpKfLJop0yY8MhuSp/dnmsdXkpnDurB2fqjSkdOh0v9YfO8JsMr8DyRn2ZhTMCnK8540qv9gUIQOxb0dIwATZoPQUf8us6eW++/QCka8OrZPC/CED06JvZCwGImXVn1ghYAne9t0TmbzlyGcavjzWVaiXyAIQAAggggIArBcbN3iovTd6Qem9lC+WQaU+1kBjCe1fW69CpeKk/jADElcXhplwrwPmaa0tjzI0RgBhTaiaqKsAGrSoWuP2gX9bJBwvsByB3NSwtQ/5VXc/g9GKkgGoA8nvfdpKfJ0CMXCtM2nsCgf79f131YvLmnXW8N1lmhAACCCDgCYEyPX+TlL8eXEz9fdatgTStUNAT8/PaJA6eipcGBCBeKyvzcViA8zWHgek+pAABSEgiGpgqwAatp/IDf1krHy7YYbuzOxqUlmE3EYDYBqOhnwABCIsCAXMFAv37v2PVovJ217rmojBzBBBAAAFXCwT6v113NigtQ/nvRK6s24GT8dJwOE+AuLI43JRrBThfc21pjLkxAhBjSs1EVQXYoFXFArcf8PNa+Wih/QDk9vqlZfjNBCB69M3sRTUAWdGnrRTIGWsmFrNGwGMCBCAeKyjTQQABBAwQIACJriLvP3lOGg2f6XfTfAMkuurI3YZXgPO18Hozmr8AAQirAoEgAmzQepaGagDyn2tLyYhbaugZnF6MFFANQJb3aSsFCUCMXCtM2nsCBCDeqykzQgABBLwuQAASXRXed+KcNB5BABJdVeNuIy3A+VqkK8D4BCCsAQQIQBxdA/1/WiMfL9ppe4zb6pWSl/5NAGIbjIZ+AgQgLAoEzBUI9O//DlWLyPiu9cxFYeYIIIAAAq4WIABxdXn8bm7viXPShAAkuorG3UZcgAAk4iUw/gYIQIxfAgAEE2CD1rM2+v20Rj5RCEBurVdSRv67pp7B6cVIAdUAZFnvtlIoF6/AMnKxMGnPCRCAeK6kTAgBBBBwncCsjYfk44U7JIOI3NukjLSoWChd90gAki6+sF+853icNH1plt+4vAIr7KVgwCgS4Hwtiorl0VslAPFoYZlW+gXYoNNmOH/zEfli2S6Jjckodze+Wr5bsUc+XWz/CZB/1y0po/+PACRt+lxlCRCAsA4QMFeAV2CZW3tmjgACCIRD4I9dx+X/3l4kSckpvuEyZcwg3/VoLDVL5U3z8AQgaaaLyIW7j8VJs5EEIBHBZ9CoFeB8LWpL55kbJwDxTCmZiG4BNmh10RU7j8lt4xen/heCHFlipFbpvLJgy1Hbnd1Sp6SMuZUAxDYYDf0EVAOQpb3bSOFcWZFEAAEPCBCAeKCITAEBBBBwsUCPz1bIpDUHLrvD62sWl9dvr53muyYASTNdRC4kAIkIO4NGuQDna1FeQA/cPgGIB4rIFJwRYINWdw30XwhUe7m5dgkZe1st1ctoj0CqgHIA0quNFM5NAMISQsALAgQgXqgic0AAAQTcKxDsP2fuGHFdmm86UJ93NCgtw26qnuY+udA5gV1H46T5KJ4AcU6Ynr0owPmaF6saXXMiAImuenG3YRRgg1bHVj14DjTCTbVLyMsEIOr4XOETSElJkTI9JyppLCUAUfKiMQJuFiAAcXN1uDcEEEAg+gUIQKK/humdwc6jZ6XFqNl+3fANkPTKcr2XBThf83J1o2NuBCDRUSfuMgICbNDq6DoCkBtrFZdX/5P2R8jV75orvCSQnJwiZXupBSBLerWRIjwB4qVlwFwMFiAAMbj4TB0BBBAIg0C4ApA7G5SWoTwBEoaKqg+x48hZaTmaAERdjitMFuB8zeTqu2PuBCDuqAN34UIBNmj1ougIQG6oWVxeS8c7dNXvmiu8JJB0IVnK956kNCUCECUuGiPgagECEFeXh5tDAAEEol6AACTqS5juCWw/clZaEYCk25EOzBLgfM2sertxtgQgbqwK9+QKATZo9TLoCEC61Cgmb9xRR31wrkBARBIvJEsFxQBkcc82UjQP3wBhASHgBQECEC9UkTkggAAC7hUgAHFvbcJ1Z9sOn5HWY+b4DccrsMJVAcaJRgHO16Kxat66ZwIQb9WT2WgUYINWx9QRgFxXo5i8SQCijs8VPoGEpGSp2EftCZBFPVtLsTzZEEQAAQ8IEIB4oIhMAQEEEHCxAAGIi4sTplvbeviMtCEACZM2w3hFgPM1r1QyeudBABK9tePOHRZgg1YH1hGAdK5eVN66s6764FyBgIjEJ16QSn0nK1kQgChx0RgBVwsQgLi6PNwcAgggEPUCBCBRX8J0T2DLoTPSdixPgKQbkg6MEuB8zahyu3KyBCCuLAs35QYBNmj1KugIQDpVKyrj7iIAUdfnCksgLQHIwhdbS/G8PAHCCkLACwIEIF6oInNAAAEE3CtAAOLe2oTrzrYcOi1tx871G45XYIWrAowTjQKcr0Vj1bx1zwQg3qons9EowAatjqkjAOlQtYiM71pPfXCuQEBEziVckMr91J4AIQBh6SDgHQECEO/UkpkggAACbhQgAHFjVcJ7T5sPnpZ2LxOAhFed0aJdgPO1aK9g9N8/AUj015AZOCTABq0OqyMAaV+liLxzNwGIuj5XWAJnzydJ1f5TlDAWvNhaSvAEiJIZjRFwqwABiFsrw30hgAAC3hAgAPFGHdMzi40HTkuHVwhA0mPIteYJcL5mXs3dNmMCELdVhPtxjQAbtHopdAQgbSsXkffuIQBR1+cKS+DM+SSpphiAzH+hlZTMlx1ABBDwgAABiAeKyBSiUuD3Xcdl8poDUjhXrPy7bknJmz1LVM6Dm0YglAABSCgh7/99w4FT0vGVeX4T5RVY3q89M0y7AOdrabfjSj0CBCB6HOnFgwJs0OpF1ROAFJb37rlWfXCuQEBETsUnSo0BU5UsCECUuGiMgKsFCEBcXR5uzqMC8zYflvs+XCZJySm+GVYullt+eLixZM0c49EZMy2TBXQHICkpKVKm50Q/0jsblJahN1U3mdq1c1+//5R0epUAxLUF4sZcKcD5mivLYtRNEYAYVW4mqyLABq2i9VdbHQFIm0qF5f17CUDU9bnCEjh5LlFqDlQLQOY930pK5ecJEFYQAl4QIADxQhWZQ7QJdP94uUxff/Cy2/7wvmul1TWFo20q3C8CIQV0ByDJySlSthcBSEh4FzVYt++UdH6NAMRFJeFWokCA87UoKJLHb5EAxOMFZnppF2CDVrfTEYC0uqaQfHhfffXBuQIBKwCJS5SagwhAWAwImCpAAGJq5Zl3JAUC/fuuSrHcMvGJZpG8LcZGwBEB3QHIheQUKRcgALmjQWkZxhMgjtQwvZ2u3XdSrnttvl83xfJklUU926S3e65HwJMCnK95sqxRNSkCkKgqFzcbTgE2aHVtHQFIy2sKyUcEIOr4XOETOH42QWoPnqakwRMgSlw0RsDVAgQgri4PN+dRAQIQjxaWaQUU0B2AJF1IlvK9J/mNRQDi3gW4Zu9J6fI6AYh7K8SduVGA8zU3VsWseyIAMavezFZBgA1aAevvpjoCkOYVC8kn9/MEiLo+V1gCx84mSB3FAGTuc62kdAFegcUKQsALAoH+71CHqkVkfNd6Xpgec0DAlQIEIK4sCzflkIDuACQhKVkq9vEPQPgGiEMF1NAtAYgGRLowToDzNeNK7roJE4C4riTckFsE2KDVK6EjAGlWoaB82q2B+uBcgYCIHD1zXuoOma5kQQCixEVjBFwtQADi6vJwcx4VIADxaGGZVkAB3QHI+aQLck2fyX5jEYC4dwGu3nNSrn/D/wmQormzyuJevALLvZXjziIpwPlaJPUZ2xIgAGEdIBBEgA1afWnoCECali8on3UnAFHX5wpL4PDp83LtULUAZM5zLeWqAjkARAABDwjwCiwPFJEpRJ0AAUjUlYwbToeA7gAkPvGCVOpLAJKOkoT90lV7TsgNbyzwG5cAJOylYMAoEuB8LYqK5dFbJQDxaGGZVvoF2KDVDXUEIE3KF5AJ3RuqD84VCIjIodPxUn/oDCWL2c+2lKsLEoAoodEYAZcKEIC4tDDclqcFCEA8XV4m9w8BAhCWxMrdJ+TGNwlAWAkIqAhwvqaiRVsnBAhAnFClT08IsEGrl1FHANKobAH54gECEHV9rrAEDp2Kl/rD3B2AbD9yVkZMWi87j8ZJ60qF5el2FSVTTEYKiAAC6RRISUmRMj0n+vXSsWpRebtr3XT2zuUIIBBMINB//qtcLLdMeqIZaAh4TkB3ABKXkCRV+k3xc+IVWO5dOn/uPiH/ChCAFMkdK0t6tXXvjXNnCERQgPO1COIztE+AAISFgEAQATZo9aWhIwBpWDa/fPlAI/XBuQIBETlwMl4aDlcLQGY921LKhOkJEOtDl81HzpIDp+JT6/Vgi7LSs1Nl6ocAAukUSE5OkbK9CEDSycjlCCgLEIAok3FBFAvoDkDOnk+Sqv0JQKJpSfyx67jc9NZCv1sunCtWlvYmAImmWnKv4RPgfC181owUWIAAhJWBAAGItjWgIwCpXya/fP0gAYi2ohjW0f6T56TR8JlKsw5nADJl7QF58NMVfve3Y8R1SvdMYwQQ8BdIupAs5XtP8vsDT4CwWhBwVoBXYDnrS+/uEtAdgJw5nyTVCEDcVeQQd/P7ruNyc4AApFCuWFlGABJVteRmwydAABI+a0YiAGENIKAkwAatxOVrrCUAuTq/fP0QAYi6PldYAvtOnJPGI9QCkJnPtJCyhXKGBbD3D6tlwpJdBCBh0WYQ0wQSLyRLBQIQ08rOfF0gwBMgLigCtxA2Ad0ByOn4RKk+YKrf/d/RoLQMu6l62ObFQPYFVuw8LreM838CpGDOWFnehydA7EvS0iQBztdMqrY758oTIO6sC3flAgE2aPUi6AhA6l2VT77t0Vh9cK5AQET2HI+Tpi/NUrKY8UwLKUcAomRGYwTcKGC9Yq5iH54AcWNtuCdvCxCAeLu+zO5yAd0ByKn4RKlBAOKKZWY9STp+7jb5Y9cJqVIsl3RrVlbyZMvsd28rdh6TW8Yt8vvXC+bMIsv7tHPFXLgJBNwmwPma2ypi3v0QgJhXc2ZsU4AN2ibUJc10BCB1r8on3xGAqONzhU9g97E4aTaSAITlgICJAueTLsg1fSb7TZ1XYJm4GphzOAV4BVY4tRkr0gK6A5CTcYlSc5D/EyB8BD38le71w2r5/JIntTtULSLju9bzu5HlO47Jv9/2D0AK5MgiK/oSgIS/cowYDQKcr0VDlbx9jwQg3q4vs0uHABu0Op6OAKR26bzyw8NN1AfnCgTSGIBMf7qFlC/MK7BYQAhEu0B84gWp1JcAJNrryP1HnwBPgERfzbjjtAvoDkBOxCVIrUHT/G6IACTtNUrLldbTH7UHTZPT55Muu3zyk82kUtHcl/1ry3Yck/8LEIDkz5FFficASQs/1xggwPmaAUV2+RQJQFxeIG4vcgJs0Or2OgKQWqXyyo+PEICo63OFJbDz6FlpMWq2EgYBiBIXjRFwrcC5hAtSuR8BiGsLxI15VoAAxLOlZWIBBHQHIMfPJkjtwf4BCN8ACe/yC/Yqsgebl5WenStfdjNLtx+TW8f7PwGSL3tm+aNf+/DeOKMhECUCnK9FSaE8fJsEIB4uLlNLnwAbtLqfjgCkZqm88hMBiDo+V/gEdhw5Ky1HqwYgzaV84VxhEeQj6GFhZhBDBeISkqRKvyl+s+cVWIYuCKYdNgECkLBRM5ALBHQHIMfOJkgdApCIV/bkuUSpOdD/VWTXXp1Pvnno8u9TLtl2VG57Z7HfPefNnln+JACJeC25AXcKcL7mzrqYdFcEICZVm7kqCbBBK3H5GusIQGqUzCM/P9pUfXCuQEBEth85K60UA5BpTzWXCkUIQFhACES7wNnzSVK1PwFItNeR+48+Ab4BEn01447TLqA7ADly5rzUGzLd74Z4BVbaa5SWK4O9iiwmYwbZOqzzZV0u3nZU/hMgALE+mL6yP0+ApMWfa7wvwPma92vs9hkSgLi9QtxfxATYoNXpdQQg1UvkkV8eIwBR1+cKS2Dr4TPSZswcJQwCECUuGiPgWoEz55OkWoAAJNhHTF07EW4MgSgT4AmQKCsYt5suAd0ByOHT5+XaoQQg6SqKhouDvYrM6tr6rof1fY+Lv0Vbj8rt7/o/AZI7ayZZNaCDhruhCwS8J8D5mvdqGm0zIgCJtopxv2ETYINWp9YRgFQtnlt+e7yZ+uBcgYCIbDl0RtqOVQtApj7VXCryBAjrB4GoFzgdnyjVB/i/voIAJOpLywRcLkAA4vICcXtaBXQHIIdOx0v9oTP87pEnQLSWLWRnwV5FZl347t31pF2VIql9LNx6RO54d4lfn7myZpLVBCAhrWlgpgDna2bW3U2zJgBxUzW4F1cJsEGrl0NHAFKlWG6Z+AQBiLo+V1gCWw6dlrZj5yphEIAocdEYAdcKBHt/N98AcW3JuDGPCPAKLI8UkmnYEtAegJyKl/rD/AMQPoJuqxzaGgV7FZk1wIMtykrPTv/7EPrCLUfkjvcCBCCxmWT1QJ4A0VYUOvKUAOdrnipnVE6GACQqy8ZNh0OADVpdWUcAUqloLpn8ZHP1wbkCARHZdPC0tH9ZLQCZ8mRzuaYo3wBhASEQ7QIn4xKl5iD/J0AIQKK9sty/2wV4AsTtFeL+dAroDkAOnoqXBgQgOkuUpr6CvYrM6qzeVfnk2x7/+xD6gi1H5M4AAUjO2EyyhgAkTf5c5H0Bzte8X2O3z5AAxO0V4v4iJsAGrU5PAKJuxhV6BTYeOC0dXlELQCY/2UwqFc2t90aC9Nb7h9UyYckuv7/uGHFdWMZnEAS8LBDsA6YEIF6uOnNzgwABiBuqwD2ES0B3ALL/5DlpNHym3+3zCqxwVfSvcQ4FeRLH+luWTBllw6COkjFjBl/b+ZuPyF3v+z8BkiNLjKwd1DG8N85oCESJAOdrUVIoD98mAYiHi8vU0ifABq3upyMAqVgkp0x9qoX64FyBgIhsOHBKOr4yT8mCAESJi8YIuFYg2AdM+QaIa0vGjXlEgADEI4VkGrYEdAcg+06ck8YjCEBs4TvYKNiTOBeHXDeog2TPksn3j/M2H5au7y/1u5vsWWJkHQGIg1Wi62gW4HwtmqvnjXsnAPFGHZmFAwJs0OqoOgKQCoVzyrSnCUDU9bnCEli375R0fk0tAJn0RDOpXIwnQFhBCES7QLAPmBKARHtluX+3CxCAuL1C3J9OAd0ByN4T56RJgACEb4DorFrovoI9iXPxyrUDO0iO2L8CkLmbDsvdH/gHINkyx8j6wTwBElqbFiYKcL5mYtXdNWcCEHfVg7txkQAbtHoxdAQg5QrlkBnPtFQfnCsQEJG1+07Kda/NV7JwQwCyfXhnyZDhr8fq+SGAQNoEgn3AlFdgpc2TqxCwK0AAYleKdl4Q0B2A7DkeJ01fmuVHQwAS3tUS7Emci3dhfdvD+saH9Zuz6bDcEyAAyZo5o2wY3Cm8N85oCESJAOdrUVIoD98mAYiHi8vU0ifABq3upyMAKVsoh8wkAFHH5wqfwJq9J6XL62oByMTHm0mV4pF9AmTbsM6p7xWmlAggkDaBYB8wJQBJmydXIWBXgADErhTtvCCgOwDZfSxOmo30D0D4Bkh4V0uwJ3Eu3sWqAe0ld9bMvn+cvfGQ3PvhMr8bjM2UUTYOIQAJb+UYLVoEOF+Llkp59z4JQLxbW2aWTgE2aHVAHQFImYI5ZNazPAGirs8VlsDqPSfl+jfUApDfHm8qVYvnCQtgsI+gbx3WWWL+/rBiWG6EQRDwoMCh0/FSf+gMv5kRgHiw2EzJVQIEIK4qBzfjsIDuAGTX0ThpPooAxOGyhew+WBB18cKV/dtLnmx/BSCzNh6S+wIEINbH0jcRgIS0poGZApyvmVl3N82aAMRN1eBeXCXABq1eDh0ByNUFssvs51qpD84VCIjIqj0n5IY3FihZuCEA2TK0k2SKyah03zRGAIHLBQ6dipf6w/wDEL4BwkpBwFkBAhBnfendXQK6A5CdR89Ki1Gz/SbJK7DCW/eQAUi/9pIn+98ByIZDct9H/k+AZInJKJuG8gRIeCvHaNEiwPlatFTKu/dJAOLd2jKzdAqwQasD6ghASufPLnOfJwBR1+cKS+DP3SfkX2+qBSC/PtZUqpWI7BMg1v9azPpfjfFDAIG0Cxw4GS8NhxOApF2QKxFImwABSNrcuCo6BXQHIDuOnJWWowlAIr0aggVRF+/rj77tJF+OLL5/nLnhoNz/0XK/W84ck0E2D+0c6akwPgKuFOB8zZVlMeqmCECMKjeTVRFgg1bR+qutjgCkVP5sMu/51uqDcwUCIvLHruNy01sLlSzcEIBsHNJRYjPFKN03jRFA4HKB/SfPSaPhM/1YeAUWKwUBZwUIQJz1pXd3CegOQLYfOSutCEAiXuRgQdTFG/u9bzvJ/3cAMmP9Qen2sX8AkiljBtkyjAAk4sXkBlwpwPmaK8ti1E0RgBhVbiarIsAGraKlLwApmS+bzH+BAERdnyssgd93HZebozAA2TC4o2TNTADCKkYgPQL7TpyTxiMIQNJjyLUIpEWAACQtalwTrQK6A5Cth89ImzFz/Dj4CHp4V0iwIOriXazo01YK5Iz1/eP0dQel+yf+AYj1PT/ru378EEDAX4DzNVZFpAUIQCJdAcZ3rQAbtHppdDwBUiJvNlnwIgGIuj5XWAIrdh6TW8YtUsL45dGmUr1kZF+BtX5QR8mWhQBEqXA0RuAfAntPnJMmBCCsCwTCLkAAEnZyBoyggO4AZMuhM9J2LAFIBEvqGzpYEHXxvpb1biuFcv0VgExbd1D+GyAAyZhBZNvw6yI9FcZHwJUCnK+5sixG3RQBiFHl1jvZHTt2SLVq1eTs2bOpHffv318GDBhge6DVq1fLhx9+KNOnT5c9e/ZIQkKClChRQurVqyddu3aVjh072u5Ld0NTNug9x+Nk/8l4qVEyT7pfwaMjACmeJ6ss7NlGdznpzxCB5TuOyb/fjr4AZO3ADpIjNpMhVWKaCDgjYP3fs6YvzfLrnFdgOeNNrwhcFCAAYS2YJKA/ADktbcfO9SPkI+jhXVXBgqiLd7G0dxspnCur7x+nrj0gD3y6wu8GM2QQ2U4AEt7CMVrUCJhyvhY1BTHwRglADCy6ril36NBBpk6dell3dgOQpKQk6devn7z00kuSnJwc9Ja6dOkiH3zwgRQqVEjXbdvux+sbdEpKioycslHGzd7qM7GChy8faCSlC2S3bfTPhjoCkKK5s8riXgQgaS6C4Rcu23FM/k8xAPn50SZSo2TesMj1/mG1TFiyy2+sNQM7SE4CkLDUgEG8K7D7WJw0G0kA4t0KMzO3ChCAuLUy3JcTAroDkM0HT0u7lwlAnKiVSp/B6nCxjyW92kiR3H8FIFPWHpAHAwQg1t92jOAJEBV32poj4PXzNXMqGb0zJQCJ3tpF9M4/++wz3xMa//zZDUC6devmCzYu/jJnzixVqlSRnDlzyoYNG+To0aOpf6tZs6YsWLBAcuTIEdY5e32DDvSY7021S8jLt9VKs7OOAKRI7lhZ0qttmu+BC80WWLLtqNz2zmIlBDcEIKsGtJfcWTMr3TeNEUDgcoFdR+Ok+SgCENYFAuEWIAAJtzjjRVJAdwCy8cBp6fCKfwDCN0DCW+VNB09L+wBB1MW7WNyzjRTN81cAMnnNAXnoM/8nQKy/EYCEt26MFj0CXj9fi55KmHunBCDm1j7NMz9y5IhUrlxZLv7/J0+elH379vn6sxOAvPPOO/Lggw+mjn/DDTfIW2+95Xv1lfVLTEyU8ePHy1NPPSXWkyLW74477pAJEyak+Z7TcqHXN+gXv1slXy7b7Uej+h/a4hMvyOyNh+TwmQTp++OatFBfdo31blXrHav8EEiLwOJtR+U/igHIT480kZqlIvsEyMr+7SVPNgKQtNScaxC4KLDz6FlpMWq2HwivwGKNIOCsAAGIs7707i4B3QHIhgOnpOMr8/wmSQAS3roHq8PFu1jUs7UUy5PN94+T1+yXhz77PeANbh/eWTJY78LihwAClwl4/XyNcrtfgADE/TVy3R1aT35YT4BYvzlz5sjdd98tO3fu9P1zqAAkLi5OypUrJwcOHPC1b9mype/7HzEx/h//ff/996V79+6+dtZ/iFi+fLnUqVMnbB5e36Bvf2exLNr2vydtLsKqBCAJScly74dLZeFW/37SWqiCOWNleR8CkLT6mX7doq1H5fZ31Z4A+fGRJlIr0gFIv/aSJzsBiOnrl/mnT2DHkbPScrR/ANKhahEZ37Ve+jrnagQQCCpAAMLiMElAdwCyfv8p6fSqfwDCN0DCu6qC1eHiXSx4sbWUyPtXADJp9X7pMSFwALJt2P+zd94BUVxbGP9s2HvvvfcCCtiwYIsxxhI10Wg09t5iL1gwGruxxN57b6jYFZAiAoJIF7GhoogFxfLeLKLozOzOzM7O7s6e+9d72XvPPfc7l3H3/ubc0xZpmWro1EgBUuAbBdR+vkbhNn0FCICYfoxMykOm5gdT+4Npffr00VxjVapUKcEAZNWqVRg8eLBmPAM1goKCUKlSJd41NmjQANeuXdN83rVrV+zevVsxPdT+gO66xh2ekXEsPcUAkCuhT/Db+uT4yNXyZrWCz9SWcpkjOxamgFvYE/RYJ25PmgIA8Z3aErmzWllYtGi5pIC8CkQ+Es3DzwAAIABJREFUeQUHAiDyikrWSAEBChAAESASdVGNAnIDkKD7L9B2GQEQY28Qvjik+HXlLwcUy51cK/NEwAMM5gEg4XPbIh0BEGOHk+Y3QQXUfr5mgpKTS98pQACEtoRgBZjsjWrVqiEyMhL58uXT1OrImzevKADSokULnD17VjMnk/1x/jz7ru7UDm3cuBF//PGH5j8x9UGYa7cyZswo2Gd9Oqr9Ad15lRu87zxjSSQGgLRffgUB9+L1kZk1Nk9WK1wnACKrppZk7GrYE/wqEoAcHGyH2iVyKyITXxF0Zs8ze58aKUAKSFeAq7YVY42uwJKuKY0kBYQoQABEiErURy0KyA1AAu/Ho92yKyx5KANE2R1z8148fljOjkOKF5fHO6B4nmQActz/AYbs4M4ACZvTBunTpVXWeZqNFDADBdR+vmYGIbB4FwmAWPwWEC7AmDFjsGjRIs2ATZs24ffff9f8b6EZIC9fvkSePHk0NT6YNm/ePPz1119aHWCuyipcuPCXPqdOnYKjo6Nwp/XoqfYHdMeVV+Eb/ZylkBgAwrxpy7xxK2fLlSUDbkxTJsZy+k22TEMBKVlJBwbboY6RAQhz7Rtz/Rs1UoAUkK5AWOxLtFh0kWWAAIh0TWkkKSBEAQIgQlSiPmpRQG4AwnfwTjVAlN0xugDIpXEOKJE3GYAc87+PoTt8OR0MndMGGQiAKBs8ms0sFFD7+ZpZBMHCnSQAYuEbQOjyfXx8UL9+fXz48IGVuSEUgHh6empspDSmfkjjxo11ulC6dGlERUVp+s2fPx/jxo3TOUaODmp/QHdYcQV+MezsDTEApOmC84h6+loOub/YYApBMwWhqZECUhS4FPIYvTZ4ihpqCgDEa3IL5M9OAERU4KgzKfCdAmGxCWix6BJLFwIgtFVIAcMp8OnTJ5SeeII1QeXCOXByRCPDTUyWSQEjKSA3AAmIiUf7FezMAwIgygbYP+Y5flxxlXfSi+OaomTerJrPj/jdx/Cd3AAkZHYbWKWnDBAlovf+w0fNbRTMS2Qp2TlKzEtzSFNA7edr0lShUUoqQABESbXNdK7379/D2toaN27cgJWVFfz8/L6p2yEUgGzevBm9e/f+okJMTAyKFi2qU5XU12al1B3ROUiGDmp/QLdbdhmB91+wlDI2AMmeKT0CZiTXmaFGCohV4GLIY/wuEoDsH2SHuiWNewWW56TmKJAjk9jlUn9SgBRIpUDoowS0XMwGIFQEnbYJKWA4BT58/ISykwiAGE5hsmxqCsgNQPgO3ukKLGUj73f3OTr8yw9Azo9titL5kgHI4Rv3MGLXDU4Hb89ujYzp0ynrvAXOFvsiEd3XeiD8cfJtFD0blMTMH6tSAXoT3gtqP18zYenJtc8KEAChraBTgb///hsTJkzQ9Js6dSqcnJy+GSMUgDDjpk+frhmbPn16vH37FmnT6n47gqkBwtQCYZqDgwPOnTun02c5Oqj9Ad16ySUEP0xgSSUGgDRZcB53ZM4AyZ4xPQJmEgCRYw9boo0Lt2PRe6OXqKWbAgC5Nqk5ChIAERU36kwKfK9AyKMEOBIAoY1BCiiqAPMGbrnJJ1lzViqUHS4jdWd6K+osTUYKyKCA3ACE7+CdAIgMwRJh4sbd5/hJCwA5N6YJyuTPprGoDYAEz2qNTBkIgIiQXlLXGUcCsckt+ZaQlKZkXUdJTlv4ILWfr1l4eM1i+QRAzCJMxnMyPDwc1atXx5s3b1C+fHn4+/sjU6Zv31IWCkDGjh2LhQsXahaTO3duxMXFCVrYyJEjsXTpUk3fevXqwctL3OFm6kmYGiYpdUx0Tf7gwQN8/PhRk6XCZKuorTkuvoiQRy9ZyzI2AMlqlQ6BTq3VJjetRyEFzgfHos8mcc+I/YNsUbdkHkU8nHIoANs8ollzuU9shsI5MyviA01CCqhVgeCHL9B6yWXW8ugKLLVGnNZlCgokffiI8gRATCEU5INCCsgNQHyjn6HjSjeW991tSsD55+oKrYqmuR79DD9zxCFFmbNjmqDsZwByyPceRu7mzgAhAKLMXuL6O2xSIT82/2GjjAM0i2gFCICIlowGyKwAARCZBVWbudTXT505cwbM//++CQUggwYNwurVqzXDmcLm9+/fFyTXxIkTNQXTmVa5cmUEBQUJGsfVacaMGZg5c6ao8WoFIM0XXviSMppaEDEApPH884iOk7cGSBardAgiACJqj1LnrwqcC36EPzZ5i5Jk30Bb1CulDACZfDAA26+xAYjbhGYokosAiKjAUWdS4DsFbj14gTZLCYDQxiAFlFTg7fsPqDjFhTUl1QBRMgo0l5IKyA1A+A7eu9sUh/PPNZRcmkXP5XPnGTqtYoOoFFFcRzdGuQLZNf/3oG8MRu3249TrllNrZLaiDBBDbyauv8NSebPgwjgHQ09N9iUqQABEonA0TDYFCIDIJqX6DDHXTjHXTzHt119/xbZt2zgXKRSA9OvXD+vXr9fYKF68OKKj2YeAXBMw127Nnj1b81HZsmURFhYmWWzKAPkqncM/FxD5JPnOzNRNDABpNP8c7sa9kRwProGZMqRF8Kw2stokY5ajwNlbj9B3s/kBkKsTmqEoARDL2ai0UoMoEHT/BdouIwBiEHHJKCnAo0Bi0gdUmkoAhDaI5SggNwDhO3jvZl0c8zoRAFFqZ3lHxaHzanfe6c6MaozyBZMByIHrMRi9hxuABDm1Qhar9Eq5bbHzcP0dlsybBRcJgJjsniAAYrKhsRjHCIBYTKjFLTQ2NlaTbcFcU8VcVxUcHIwCBQpwGhEKQIYPH47ly5drbOTPnx/MHELauHHj8M8//2i61qhRQ1OEXYmm9gc0H7wQA0Aa/n0OMc/kBSAZ06fF7dkEQJTY42qc40zQI/y5RRwA2TvQFtZGzgC5PN4BxfNkUWNIaE2kgGIKBN6PR7tlV1jzURF0xUJAE1mgAgRALDDoFr5k+QFIHDqtYh+8d61XDPM717RwtZVbvldUHLpoASCnRzVGhc8AZL9PDMbs5T6TCJzZClkzEgAxdOQIgBhaYfntq/18TX7FyKLcChAAkVtRldjr1q0bdu/erVnNmjVr0L9/f96VCQUgkyZNgrOzs8ZOtmzZkJDALsDNNcmQIUOwcuVKzUd2dna4evWqIiqr/QFtP+8c7j1nwwtjAxCr9GkRIgGAPH/9DqeDHuHt+49oVaUgClBBaUX+TkxtktOBD9F/q48otwiAiJKLOpMCJqvAzXvx+GE5ARCTDZCBHGMO4K/feYaMGdKiZrFcSJ8urYFmIrNcCrx59wGVp1EGCO0Oy1FAbgDCd/DepW4xLOhCAESpnXUt4il++c+DdzqXkY1QqVAOzef7fGIwlgeA3JzZCtkIgBg8bARADC6x7BOo/XxNdsHIoOwKEACRXVLzN+ju7q4BDUyztbXVAIc0adLwLkwoAGGunxozZswXOwwAYUCIrtapUyccOHBA0619+/Y4cuSIriGyfK72B3SDuWfx8EUiSysxAIQPougTgAzp0iB0TltRJp69eocua9wRFptc1L1gjozYN9CO3qgXpaI6Op8KfIgBIgHIngG2sCmtTA0QviLoF8c1Rcm8WdURBFoFKWAkBQJi4tF+BRuAUBF0IwVEgWmZf/97rLsGpv4L0+zL5cX6362RKQPdv66A/JopXr19j6rTT7GmoxogSkWA5lFaAbkBiGdkHLquYWeAdK5bDP8QAFEsvB4RT9FNCwA5OaIRmOca0/Z638W4ff6cvgXMcET2TBkU89tSJyIAYn6RV/v5mvlFxPI8JgBieTHXueJDhw6hY8eOOvsJ6RAZGQkGkDDt+PHj+OGHH74MCwwMRJUqVXSasbGxgZeXl6Yfcx3W/PnzdY6Ro4PaH9DWc1zxOOEtS6pI57ZagVfqAYYAIOnTpkHYXHEAZMe1aEw6GPDNWoY3K4fRjhXl2Apkw4wUcLn5AAO3XRfl8e7+DVC/TF5RY6R25gMgF8Y2Ral8BECk6krjSAFGAf+Y5/hxBTtLlACIevfHygthmO9y+5sFLu1WCx1qFVXvok1sZS/fvkc1DgBSqVB2uIxsbGLekjukgP4KyA1A+DIPOtUphoVdKQNE/4gJs+Ae/hTd1/JngBwf3hBVi+TUGNvjfRfjeQCI/wxH5CAAIkx0PXoRANFDPCMNVfv5mpFkpWlFKEAARIRYltLVUAAkIiJCU8Q8pW3fvh09evTQKmtSUhJy5syJN2+Sr2rasGED+vTpo0go1P6ArjvrDJ6+esfSMmxOG8HXRxgCgKRNA0Q4txMVY7l/iIianDqblAInAx5g0HbzAyDnxjRBmfy6M+JMSmxyhhQwMQX87j5Hh38JgJhYWAzqDte//1ms0iHIqbVB5yXjXxVISExC9RmnWZIQAKFdolYF5P7dwZd58HPtolj0Sy21ymhy63ILe6LJKORrx4Y1RLWinwGI112M38+dAeI33RE5M1MGiKEDTADE0ArLb1/t52vyK0YW5VaAAIjciqrA3smTJ9GzZ0/BK3n27Bk+fvyo6Z85c2ZkyfK1kK+vry+KFy/+xRbzv2NiYjT/f9CgQV9qe/BN5uHhobmGK6WFhYV9A1EEOymho9of0DVnnkb8mySWMkz9DaYOh5BmCADC3LYWSQBEiPzUh0OBEwEPMFgkANnVvwEaGDkD5OyYJihLAIT2NCmglwI37j7HTxwAhIqg6yWrSQ+W+yDSpBdros4x3yWZ75TfN7oCy0QDRm7prYDczx2+zIOOtYtiMQEQveMl1MDVsCf4VSAA2e0Vjb/2f3v7QMo8ftMckTMLARChukvtRwBEqnLGG6f28zXjKUszC1WAAIhQpagfrwJCa4AwBlIXNM+XLx/u3bsHKysrXtvDhg3DihUrNJ9XrVoVN2/eVCwSan9AV59+Cglv37P0DJ7VWvDd2YYAIIxDYuqQMP3l/iGi2CajiWRX4Jj/fQzd4SvKrikAENfRjVGuQHZRflNnUoAU+FaB69HP8PNKN5YsjlUK4r9e9UguFSpA//4bP6jxr5NQ04kyQIwfCfJAKQXkfu7wZR78VKsIlnSrrdSyLH6ey6GP0XO9J68OR4bao0axXJrPd3lGY8IBbgByY1pL5MrCf75h8ULLJAABEJmEVNCM2s/XFJSSppKoAAEQicLRsK8KiAEgTC0PpqZHSlu2bBkYyMHVmEwRpkYIUyydaQsWLMDYsWMVk17tD+gq01zw+t0Hlp6BM1sha8b0gnS2cz6L+/HsQuqCBmvpJKYOCWNG7h8i+vpP442nwFG/+xi2UxwA2flnA9iWVaYGyOSDAdh+LZol0JlRjVG+IAEQ4+0cmlkNCvjceYZOq9gApGWVglhLAEQNIWatgf79N35Yn79+h1pOZ1iO0BVYxo8NeWAYBeR+7vBlHnSoVQRLCYAYJogcVi+FPEavDfwA5PAQe9QsngxAdnpGYyIPAPGd2hK5sxIAMXTgCIAYWmH57av9fE1+xcii3AoQAJFbUQu0JwaAMPJ06NABR44c0SiVLVs2uLi4wN7e/hvlXrx4oSmYfvnyZc1/L1y4MMLDwzVXbCnV1P6ArjjlJN6+T766LHUTU7jN1vksHhgAgITPbYt0TDEQgU3uHyICp6VuJqjA4Rv3MGLXDVGe7fizPuzK5hM1RmpnPgByelRjVCAAIlVWGkcKaBTwuROHTqvcWWq0qFwQ636nDBA1bhP699/4UX326h1qzyIAYvxIkAdKKSD3c+dK6BP8tp5de+LHmkWwrDtlgCgV14shj/G7FgByaIg9an0GIDuuRWPSQe4MkOtTWyIPARCDh40AiMElln0CtZ+vyS4YGZRdAQIgsktqeQbFApCoqChNFsjjx481YmXMmBF9+/aFo6OjBoj4+/tj+fLliIyM1HyeNm1aMIXZ27dvr6i4an9Al598AkkfPrE0FZO222DuWTx8IX8GiJhC7MwC5P4houhGo8lkVcDUAciUQwHY5sHOAHEZ2QiVCuWQVQsyRgpYmgLeUXHovJoLgBTAut+tLU0Oi1gv/ftv/DA/ffkWdWe7shyhDBDjx4Y8MIwCcj93+K5e+qFGYazoUccwiyCrLAXO345Fn41evMocGGyHOiVyaz7ffu0OJh/kvprbZ0oL5M2WkRQ2sAJcf4cl8mTBpfEOBp6ZzEtVQO3na1J1oXHKKUAARDmtVTuTWADCCOHm5qYBGnFxcVp1SZcuHZYuXaqpHaJ0U/sDuszE4/jI5h8Q89aKoQCImELszL6Q+4eI0nuN5pNPgUO+9zByt8gMkH71YVdOmQwQPgByckQjMAVjqZECpIB0Bbyi4tCFA4A0q1QAG3oTAJGurOmOpH//jR+bJy/foh4BEOMHgjxQTAG5nzt8mQftahTGv98BkE+fPiFNGuFZ8oqJooKJzgfHos8mfgCyf5Ad6pZMBiDbPO5gyiFuAOI9pQXyEQAx+I4gAGJwiWWfQO3na7ILRgZlV4AAiOySWp5BKQCEUYkpgD5ixAgcPnwY79+zi3EzWSJLliyBra2tUURV+wOa78u71+QWyJ9d2Fsr9ee64tGLt7LH5/bs1siYPp1gu3L/EPl+YqbA5/W7z1AufzYUz5NFsF/UUXkFDlyPweg9fqIm3mECAOT48IaoWiSnKL+pMylACnyrwLWIp/jlPw+WLA4V82Njn6/1x0g39Shg6H//1aOU4VbyOOEtrOdQBojhFCbLpqaA3M+dC7dj0Zsj86Bd9cL499fkDBAGksw9fkuTec9khsz4sSoypEtratKYtT9nbz1C383evGvYN9AW9Url0Xy+1eMOpvIAEDG/pc1aMCM7TwDEyAGQML3az9ckSEJDFFaAAIjCgtN0bAWYq7AuXboEpuj5u3fvUKRIEVhbW6NChQpGlUvtD2i+L+/XJjVHwRyZBGlvKAASPKs1MmUwDQDC3Cnfa70nXn0uGD+pbSX0b1xWkD7USXkF9vvEYMxecQBke7/6sDdyBsixYQ1RrSgBEOV3DM2oJgU8Ip6iGwcAaVoxPzYRAFFTqL+sRe6DSFWKZOBFxb5IhM3cs6xZmKxGJruRGimgNgXkfu7wXb3UtnohrPy1LmITEtHw7/N4l6p24/Dm5TG6pXF/K6strq5Bj9BvCz8A2TvQFtYpAMQ9ClMPB3JK4Dm5OQpkF/ZbWm0aKrkeAiBKqi3PXGo/X5NHJbJiSAUIgBhSXbJt1gqo/QHN9+XdbUIzFMklrNi8zRxXxCbInwFyy6k1MluZBgDpvMoN3neefdnLTHF25pqwnJkzmPX+Vqvz+3xiMFYkANnWtz4aljfuFVhHhzZE9WIEQNS6L2ldyijgHv4U3deyM0CaVMiPzX9QBogyUVB2FrkPIpX1Xh2zPXqRiPocAIRqgKgjvrQKtgJyP3f4rl5qXbUQVvesi6WuoVjsGsJyJGpeOwqPjAqcCXqEP7UAkD0DbGFTOjkDZIt7FKbxAZBJzVFA4MuEMrpvcaYIgJhfyNV+vmZ+EbE8jwmAWF7MacUCFVD7A5rvy/vl8Q6Cr3kyFAAJnNkKWTOmFxgpw9YA4dLJqUNV9LItJdg/6qicAnu872L8Pn9RE5oCADky1B41iuUS5Td1JgVIgW8VcAt/gh5rr7FkaVwhP7YQAFHldpH7IFKVIhl4UQ/jE9HAmZ0BQgDEwMKTeaMpIPdz51zwI/yxiZ150KpqQazpWQ+dVrnBJ9XLWCkLJwAi7xY4FfgQA7b68Brd1b8BGpTJq/l8s1sUph/hzgC5OK4pdnndhd/d56hdIheGNSsv6mYDeVelXmtcf4fF82TG5fHN1LtoM1+Z2s/XzDw8FuE+ARCLCDMtUooCan9A8315vzTOASXyCqtzwdz5zNz9LHe7ObMVspkwABnVogJGtCgv97LJngwK7PG6i/H7xQGQrX1t0Kh8fhlm122Crwj6oSH2qFWcAIhuBakHKcCvgFvYE/RYxwYgjcrnw9a+9Uk6FSog90GkCiUy+JIexL+BrfM51jwEQAwuPU1gJAXkfu7wXb3kWKUg/utFAESpMLvcfIiB2/gByM4/G8C2bDIA2XQ1EjOOBnG6xkAP3+jnXz5jaras+K6YvVJrUvM8BEDML7pqP18zv4hYnscEQCwv5rRigQqo+QH96dMnlJ54glOJ82ObonS+rIJUMhQACZjhiOyZhF8xJfcPkdSL57JNAETQ9jBKp91e0fhrf4CouZUEIJMPBmD7tWiWfwcH26F2idyi/KbOpAAp8K0CV0Kf4Lf1bADSsFw+bOtHAESN+8WQ//6rUS9DrOne8zewn0cAxBDakk3TVEDu5w7f1UstqxTEWgIgim2CkwEPMGj7dd75dvxZH3Zlk6/M3Xg1EjN5AAiXAf8Zjsgh4retYos244kIgJhf8NR8vmZ+0bBMjwmAWGbcadUCFFDzAzrpw0eUn3ySUwXX0U1QrkA2AQoB9Wa74slL+TNA/KY7iqqxIfcPEV0AZGSL8hjZggoPCtokCnfa6RmNiQfEARDmahzmihwl2qSDAdjBAUAODLZDHQIgSoSA5lCxApdDH6Pnek/WCu3L5cX2fg1UvHLLXZoh//23XFXFrTzm2WtNgebvG2WAiNORepuPAnI/d04HPkR/jquXWlQugHW/W9MVWAptjRMBDzBYCwDZ3q8+7MslA5ANVyLhdIw7A4TL3WPDGqJaUar1J2coCYDIqaYyttR8vqaMgjSLvgoQANFXQRqvWgXU/IB+/e49qkw7xRm706Mao0LB7ILiWm/2GTx5+U5QXzGd/KY5ImcW42eA8GXKEAARE01l+zJwgYEMYhpTHJkpkqxEm3jAHzs977Km2j/IFnVLJhdWpEYKkALSFLgU8hi9NrABiF3ZvNjxJwEQaaqa9ii5DyJNe7Wm6d3duNdoNJ8AiGlGh7wyhAJyP3f4ak80r1QA63sTADFEDLlsHvO/j6E7fHmnS10zcP2VSMwiAKJUaDjnIQBiVPklTa7m8zVJgtAgxRUgAKK45DShuSig5gd0/Osk1HQ6zRmKkyMaoXLhHILCVHfWGTx9JT8AGetYAb9Yl0D+7BkF+SH3D5GUST9+/IQyk9hXhY1oXh6jWlIGiKDgKNxp+7U7mHzwpqhZlQQgE/b7awojft/2DbRFvVIEQEQFjjqTAt8pcDHkMX7nACC2ZfJiZ38CIGrcMIb691+NWhlqTQRADKUs2TVVBeR+7rjcfICB29hXLzWrVAAbCIAotg2O+t3HsJ38ACT1lbnrLkdg9vFbgn2jDBDBUgnuSABEsFQm01HN52smIzI5olUBAiC0QUgBHgXU/IBmCpcz9Tu42vHhDVG1iLAUXUMBEMavorkyY/8gOxTKmUnnHpX7h0jKhO8/fEQ5jqvCCIDoDInROmz1uIOph8QBkE19rNG0YgFFfB6/zw97vGNYc+0ZYAub0gRAFAkCTaJaBS7cjkXvjV6s9dUvnQe7B9iqdt2WvDBD/ftvyZqKXfudp6/QZMEF1jC6AkusktTfXBSQ+7nDV3vCoWJ+bOxjQ1dgKbQxjvjdx3AtACT1C1NiAYiY39cKLdfspyEAYn4hVPP5mvlFwzI9JgBimXGnVQtQQM0P6PvP38COo2AlI8vRoQ1RvZgwAFJn1hnEGSADJCU8E9tUwoAmZXVGS+4fIikTvnv/ERWmsGulEADRGRKjddjqHoWphwNFza8kABm31w97fdgAZHf/BqhfJq8ov6kzKUAKfKvA+eBY9NnEBiAMXGQgIzX1KWCof//Vp5ThVhT15BWa/kMAxHAKk2VTUoDvelzGx6h57SS5yld7omnF/NhEAESSplIGHb5xDyN23eAdmvr3wtpLEZhzgjJApOgs1xgCIHIpqZwdNZ+vKacizaSPAgRA9FGPxqpaATU/oPne1mMCemiIPWoVzyUotoYGIEJ/TBjqACQx6QMqTXVhaTG8eXmMpiuwBO0RpTttcY/CNJEAZGMfazgolAEyZo8f9l9nA5CdfzaAbVkCIErvF5pPXQqcC36EPzZ5sxZlUyoP9gwkAKKuaCevxlD//qtRK0OtKfLJKzgQADGUvGTXxBTgux5X6G8WruUc93+AITvYV2A1rpAfW/6gDBCltsAh33sYuZsfgGzsbQ2HSskZ4/9dCsfcE8GCXaMrsARLJbgjARDBUplMRzWfr5mMyOSIVgUIgNAGIQV4FFDzAzosNgEtFl3iXDlz7VTdkrkF7YvaTqfx7HWSoL5SOwl5m8pQByBv3n1A5WkEQKTGzhjjNl2NxIyjQaKmTv2DRtRACZ1H77mBA9fvsUbu+LM+7Mrmk2CRhpACpECKAmdvPULfzWwAYl0qN/YOtCOhVKiAof79V6FUBltS+OOXaL7wIss+XYFlMMnJsBEV+PDxE8py1AdkXBLym4XLdb7i243K58PWvvXpCiyF4n3gegxG7/HjnW1D73poVqmg5vM1F8PhfFI4AKErsOQPIgEQ+TU1tEU1n68ZWjuyL48CBEDk0ZGsqFABNT+gg+6/QNtllzmjtnegLawFFmNWOwB59fY9qk4/xdJpeLNyGO1YUYW73vyXtPFqJGaaMgDZfQMHfDkASL/6sCtHAMT8dyCtwJgKuAY9Qr8tbADCQH0G7lNTnwIEQIwf07DYl2ixiACI8SNBHiihAF99QH0ACF/tiRQA0nmVG7zvPGMtTypwUUInc5xjv08MxuzlByDrf6+H5pWTAcjqi+GYRwDEqGEmAGJU+SVNrubzNUmC0CDFFSAAorjkNKG5KKDmB7Tf3efo8O9VzlDs6t8ADQTWIlA7AElITEL1GacJgJjLHy2ADVci4XRMXAZI6je65FoqcyDEXMdTMEcmtKpaCJkypNOYHrnLF4du3GdNs61vfTQsTwBELv3JjmUqcDrwIfpv9WEtvk6JXDgw2N4yRVH5qgmAGD/AfFnFlAFi/NiQB/IrkPThI8pPZtcHZGaKdG6LNGnSiJ6Ur/ZEw3L5sK1ffRAAES2ppAH7fGIwVgurIv7SAAAgAElEQVQAWdurHlpWSQYgqy6E428XygCRJLRMg7j+/S+WOzOu/NVMphnIjNwKqPl8TW6tyJ5hFCAAYhhdyaoKFFDzA9o7Kg6dV7tzRknMVTy1nE7juYqvwIp/nYSaTmwAMqxZOYyhDBCT/CtfdzkCs48LL0rILEJuAOIVFYee668hMemjRiPbMnmxpa8NMqRLixG7fHGYA4Bs7WuDRuXzm6Sm5BQpYC4KnAp8iAEcAKR2iVw4SADEXMIoyk8CIKLkMkjn0EcJaLmYfa0qARCDyE1GjazA2/cfUHEK+3pcxq2IuW2RNq18AMSubF7s+LMBARCFYr7H+y7G7/Pnne2/nnXhWLWQ5vOVF8Iw3+W2YM/oCizBUgnuSABEsFQm01HN52smIzI5olUBAiC0QUgBHgXU/IB2C3+CHmuvca5czJvoNWeeRvwb9dYAefbqHWrPOsPSiQCI6T42pACQ1Cntcqxs0DYfnLz58BtTewbYwqZ0Hgzb6YujfuwMkM1/2KBJBQIgcuhPNixXAZebDzFwGzsDpFbxXDg0hDJA1LgzCIAYP6q3Hyag1RICIMaPBHmghAKJSR9QaSo3AAmb0wbp06UV7QZf8W3mBZqd/QmAiBZU4oA9Xncxfj8/AFnTs64mq5tp/54Pw4JTBEAkSi3LMAIgssioqBE1n68pKiRNJlkBAiCSpaOBaldAzQ/oiyGP8fsGT84QijmIrTHjFF4kvjfoVhByv62hDkCevnyLurNdCYAYNMLyGl97KQJzTojLAFnXqx5afE5pl8Mbrv1Yv3Qe7B5gi6E7ruOY/wPWNJv6WKNpxQJyTE82SAGLVcDl5gMM3Hadtf6axXPhMAEQVe4LQ/37r0qxDLSo4Icv0HoJu64cZYAYSHAya1QFtAGQ0DltNNm+Yhtf8e0GZfJgV39bygARK6jE/rs8ozHhQADv6NW/1UHraoU1nxMAkSiyjMMIgMgopkKm1Hy+ppCENI2eChAA0VNAGq5eBdT8gOYrFMtEc2NvazhUEnYQq3YA8jjhLaznEAAxp7/yNRfD4SyiKCGzNiUASMoVPEN2XMdxDgAi5u/OnOJBvpICSipwMuABBm1nA5AaxXLiyNCGSrpCcymkAAEQhYTWMs2tBy/QZikBEONHgjxQQoE37z6g8jTuDJCQ2W1glV48AOErvp3y8gzVAFEissBOz2hM1AJAVv1aB22qJwOQFedC8c/pEMGOnRjeCFWK5BDcnzrqVoAAiG6NTK2Hms/XTE1r8odbAQIgtDNIAR4F1PyA5jskEnsYXH3GKSSoOAMk9kUibOaeZe0QugLLdB8bqy+GY55IAJK6qKEcK+P6Qp5yBc/g7T44EfDt9VjMnHLXIZFjHWSDFDA3BRi4yEDG71v1ojlxdBgBEHOLpxB/CYAIUcmwfQLvx6PdsiusSSgDxLC6k3XjKPDq7XtUnX6Kc/Lbs1sjY/p0oh3jK77NXJ3KXKFKAES0pJIGbL92B5MP3uQd+2+POmhXIxmALD8bioVnCIBIElqmQQRAZBJSQTNqPl9TUEaaSg8FCIDoIR4NVbcCan5AH75xDyN23eAMYOoCb7oirHYA8jA+EQ2c2QBkqEM5jG1VUZc89LkRFFh1IRx/uwSLmlnMnhdiWBsA4aoPwtiUOwtFiJ/UhxRQmwLH/O9j6A5f1rKqFc2BY8MaqW25tB4ABECMvw1u3ovHD8sJgBg/EuSBEgq8fPse1XgASPCs1siUQTwA2et9F+M4im9bl8qNvQPtCIAoEVgA2zzuYMohfgCyokdt/FCjiMabZWdDsUgEAKEi6PIHkevf/6K5MuPqhGbyT0YWZVFAzedrsghERgyuAAEQg0tME5irAmp+QPO9acTEKvX9prpiV336KSS8VW8NkPvP38Bu3jmWDARAdO0M430u9k5exlMlAciArd44FfiIJZDcWSjGiwDNTAoYT4GjfvcxbCcbgFQtkgPHhxMAMV5kDDczARDDaSvUMgEQoUpRPzUokJCYhOozTnMu5ZZTa2S2Eg9A9njfxXgOAFKvZG7sG0QARKl9s9XjDqZqASDLu9dG+5rJAGSpaygWuwrPADk2rCGqFc2p1FIsYh4CIOYXZjWfr5lfNCzTYwIglhl3WrUABdT8gNZ2x2nq9F5dMqkdgMQ8e42Gf59nyTDEoSzGtaqkS54vn79ITNKkVHtEPEXlwjkw56dqKJ4ni+Dx1FG4AlIAyJqeddGqaiHhk+joqS0DpP8Wb5wOYgMQuSGMbIshQ6SAGSlwxO8+hnMAkCqFc+DECAIgZhRKwa4SABEslcE6BsTEo/0KygAxmMBk2KQUYL7T1+ABIEFOrZDFKr1of3d7ReOv/ezi23VL5sZ+AiCi9ZQ6YIt7FKYdDuQdvrRbLXSoVVTz+RLXECxxDRU8FQEQwVIJ7kgARLBUJtNRzedrJiMyOaJVAQIgtEFIAR4F1PyA1vYFb1n32vjx89stujYHkwLOpIIbskXNa6fTvKEOQO7GvUaj+foDkO8PvcvmzwrX0U2QJk0anWujDuIUEFuUkLGuJADpt9kbrrfYAGT1b3XRupp8EEacatSbFFCHAnzXO1ItAnXEl2sVhvr3X72Kyb8yv7vP0eHfqyzD9Hcnv9Zk0fgKxL9OQk0n7gyQwJmtkDWjeACyyzMaEziKb9cpkQsHBtvTFVgKhX2zWxSmHxEGQBafCcHSs8IByJGh9qhRLJdCK7GMaQiAmF+c1Xy+Zn7RsEyPCYBYZtxp1QIUUPMDet3lCMw+fotThSW/1MJPtZPfbtHV1A5A7jx9hSYLLrBkGNy0LMa3FpYB8u79R1SYcpJlg94E0rW7pH0u9k5eZha54YO2DJB+m73geiuWtTgxV89JU4ZGkQLqV+CQ7z2M3M2ub0UHseqNPQEQ48f2xt3n+IkAiPEDQR4oosDz1+9Qy+kM51wBMxyRPVMG0X7wZebXKp4Lh4YQABEtqMQBG69GYubRIN7RqX8jM/U/mN8cQhsTRyae1ORR4NOnTyg98QTLGNUAkUdfQ1lR8/maoTQju/IqQABEXj3JmooUUPMDWluh6EVda+LnOsUERbLqNBe8evdBUF+pnYyZARL55BUc/tEPgMS/SULNmew3xcToLFU7Sxwn9k5eRiO54QPXgVzN4rlweIg9+m7ywtlgNgBZ+WsdtK1e2BJDRmsmBWRT4KBvDEbt9mPZq1gwO06NaizbPGTIdBQgAGL8WPhGP0PHlW70d2f8UJAHCijw7NU71J7FDUD8ZzgihwQAsuNaNCYdZF+BlfLdsfMqN3jfecZanZDfSApIopopNlyJhNMxfgCS+rfbotO3sexcmOC1Hxxsh9olcgvuTx21K/Dx4yeUmUQAxNz2iZrP18wtFpbqLwEQS408rVunAmp+QGt7S35B5xroUq+4Tn2YDlWmueC1igFI+OOXaL7wIkuLQU3L4i+BGSB8AGTxLzXRsbYw0CQoGNRJo4DYlHRmjJIApM9GT5y//ZgVLTG1dyjUpAApwK3AgesxGL2HDUAqFMyG06OakGwqVIAAiPGD6nPnGTqtYgMQ+rszfmzIA/kViHv1DnV4AIjfdEfkzCw+A2Sbxx1M4Si+XbNYThwe2pCuwJI/jJwW11+JxCwtAGRhl5roVDf5t9vC07exXAQAYWq5MDVdqMmjwIePn1CWAIg8YipoRc3nawrKSFPpoQABED3Eo6HqVkDND2htX9r+7lQdv1iXEBTcylNd8CbJuBkgfCmwzAL0fTMqLDYBLRZdYmlBAETQ9jBKJ7Ep6YyTq36tgzYyZl9oywDpvdETFzgAyPLutdFeYO0dowhLk5ICZqDAfp8YjNnLBiDlC2TDmdEEQMwghKJdJAAiWjLZB/jciUOnVe4su/R3J6/UzPddqh0nr6ZSrD15+Rb1ZrtyDvWb5oicWcQDkK0edzCVA4DUKJYTRwiASAmTpDHarohmDKZ+SXDBqWD8ez5c8Dz7B9mibsk8gvtTR+0KJH34iPKT2VdM0xVYpr1z1Hy+ZtrKk3cpChAAob1ACvAooOYHtPPJW1hzMYJz5XM7VkeP+uYDQPjeAGEWF+ncVq8fiyGPEuC4WE8AwlMskTJADPPoEZuSrjQA6bXBE5dC2Bkgy7rXxo8EQAyzKciqxSiwzycGYzkASNn8WXF2TFOL0cGSFkoAxPjR9o6KQ+fVbABSrkA2uBJ41DtAtx680FyPFPboJRqWz4e/O9eQdM2S3o6QAY0CjxPewnoONwDxndoSubNaiVZqq3sUph5mF9+uVjQHjg1rRBkgohWVNmDtpQjMOcFdI5OxOL9zDXT9fEvCfJdgrLwgHIDsHWgL61IEQKRFhj2Kr8YmARC5FDaMHTWfrxlGMbIqtwIEQORWlOypRgE1P6CdjgZhw9VIzljN+qkaejYoKSiOlaaeRGLSR0F9pXbSlcXB9wWImS98blukS5tG6tQIfvgCrZdcZo0f2KQsJrQRVgSd765gAiCSw6J14D+nbmPFeeF38jLG5K6/oS0DpOf6a7gc+oS1hqXdaqFDraKGEYWskgIWosAe77sYv8+ftdoy+bPiHAEQVe4CAiDGD6tXVBy6cAAQ+rvTPzbMSz4NnM9qDt1TGpMtymSNUjOOArEJibCZc5Zz8utTWyKPBACyxT0K0zgASNUiOXB8OAEQpSK95mI4nE8G8043v1MNdLVOvib6b5dgMDU1hbY9A2xhU5oAiFC9dPVLTPqASlNdWN0IgOhSzrifq/l8zbjK0uxCFSAAIlQp6mdxCqj5AT3t8E1scb/DGVOnDlXRy7aUoHibAgB58+4DKk9jfwFiFhA6pw0ypEsraC1cnYLuv0DbZfoBkKcv36IuR6o8ARDJYdE6UGxKOmNM7vob2gDIb+uu4UoYG4As+aUWfqpNAMQwu4KsWooCe7zuYvx+DgCSLyvOjaUMEDXuAwIgxo/qtYin+OU/D5YjZejvTu/gnL8diz4bvVh2dL0cpPfEZIBXgdgXibCZyw1AfKa0QN5sGUWrt9ktCtOPsDNAqhTOgRMjCICIFlTigNUXwzFPCwCZ93N1dLNJviWB6cf0F9p29W+ABmXyCu1O/XQoQADEPLeIms/XzDMiluc1ARDLizmtWKACan5ATzzgj52edzmVmN6+CvrYlxakUsUpJ/H2vXEzQF6+fY9q009x+hs8qzUyZUgnaC1cnW7ei8cPy6+wPhrQpAwmtqksyC5fqjwBEEHyie4kNiWdmUARAPK5kOWv6zxwNewpa120H0SHmgaQAiwFdntF46/9Aaz/XjpfVpwnAKLKHUMAxPhh9Yh4im4cAIT+7vSPzb/nw7Dg1G2WIQIg+msr1cLD+ERNVg5X857SAvkkAJCNVyMx82gQy2TlwjlwUgsA0feqX6kaqHXcygthmO/C/ntLWa/zz9XR/TMA0XadNJc+O/9sANuyBEDk2juv371HlWns3/+UASKXwoaxo+bzNcMoRlblVoAAiNyKkj3VKKDmB/SYPX7Yfz2GM1ZT2lVGv0ZlBMXRFABI/Jsk1Jx5mtPfW06tkdlKOgAJiIlH+xX6AZBHLxJRn+NNMTrwFrTFRHcS+0YWM8GKHrXxQ40ioufiG8CZAfIZgPRY6wG3cDYAWdilJjrVLSabD2SIFLBEBXZ5RmPCATYAKZk3Cy6Oc7BESVS/ZgIgxg+xe/hTdF/LzgChvzv9Y0MARH8N5bbwIP4NbJ3PcZr1nNwcBbJnEj3lhiuRcDrGBiCVCmWHy8jG6LLaDV5Rz1h29b3qV7SjKh/A9/eWsuzUdTKdT9zCmkvc9TS5ZNrRrz7syuVTuYLKLe/V2/eoyvECJAEQ5WIgZSY1n69J0YPGKK8AARDlNacZzUQBNT+gh+/0xRG/+5yRmNS2Evo3LisoShWmnARTg8OQTddbbnGv3qHOrDOcLtyc2QrZMqaX7J7f3efo8O9V1vgBjctgYlthGSB8P5ToyiPJYdE6UOwbWYwxRQBI8Vw4PMQe3f5zh0dEHGsN/3Spic4EQAyzKciqxSiw41q0pljw961Eniy4NJ4AiBo3AgEQ40fVLfwJeqy9Rn93BggFARADiKqnyfvP38BuHg8AmdQcBXKIByDrr0RiFgcAqVgwO06N4gcg+l71q6cUqhuuC4DM/qkafvtcJ3PuiVv4TwQA2d6vPuwJgMi2ZxISk1B9BvsFSAIgsklsEENqPl8ziGBkVHYFCIDILikZVIsCan5AD9rmg5M3H3KG6q/WlTCoqfkAEL4rppjF+c9wRI5MGSRvSd/oZ+i40o01vn/jMpgkEIDce/4G9hw/lAiASA6LdgAi8o0sxhhTTJQpKipX01YD5Jc17rgWyQYg8zvXQNd6yYUVqZECpIA0BbZfu4PJB2+yBhfPkxmXxzeTZpRGmbQCBECMH56rYU/w6zo2AKG/O/1jQwBEfw3ltsD3vZ6Z59qk5igoAYCsuxyB2cdvsVytUDAbTo9qwpsBEjK7DazSS691KLc25m5v+dlQLDwTwruMWT9VQ8/PAGTO8SCsvRwpeMlb+9qgUfn8gvtTR+0KvEhMQg0CIGa3TdR8vmZ2wbBQhwmAWGjgadm6FVDzA7rfZi+43orlFGFcq4oY4lBOt0AAKkw+iXcfjJsBwnfFFLOAG9NaIlcWK0Fr4erkc+cZOq1iA5C+DUtj6g9VBNm9G/cajeafZ/UlACJIPtGdxP4gYSZY1r02fjQ0APl8BVbX1e7wjOIAIJ1qoKs1ARDRAacBpEAqBbZ53MGUQ2wAUix3Zlz5iwCIGjcLARDjR/VK6BP8tp4NQOhNXP1jwwdAqPaD/tpKtcD3vZ6x5zGxOQrlFJ8BsvZSBOacYAOQ8gWy4cxofgCib61DqRqoddyys6FYpAWAOHWoil62pTTLn30sCOuuCAcgW/6wQeMKBEDk2jvxr5NQ04kyQOTSUyk7aj5fU0pDmkc/BQiA6KcfjVaxAmp+QPfa4IlLIY85ozemZQUMa15eUGTLTz6BpA+fBPWV2knXFVja3sS6PrUl8mSVDkC8o+LQebU7y/U+9qUwvX1VQUu68/QVmiy4wOq7tFstdKhVVJAN6iRcAbE/SBjLSgIQvnuc5/1cHd0+F1YUvlrqSQqQAqkV2OpxB1M5AAgdxKp3nxAAMX5sL4c+Rs/1nixH6O9O/9jwAZCIuW2RNm0a/ScgC6IV0AZA3CY0Q5FcmUXb/O9SOOaeCGaNK1cgG1wJgIjWU+qAJa4hWOIayjt85o9V8btdMgBhrixjri4T2jb1sUbTigWEdqd+OhR4/vodajmxr8Cmf3dMe+uo+XzNtJUn71IUIABCe4EU4FFAzQ/o7v95wD2CXYiZkWJki/IY2aKCoH1hCgBE2w8Rr8ktkD97RkFr4erkGRmHrmvYAKT3/7/8zvhRGACJfPIKDv8QAJEcBJEDxf4gYczLDaO0FUFnMoqYzKLvm/PP1dGdAIjIaFN3UuBbBba6R2Hq4UCWLEVyZoLbxOYklwoVIABi/KBeDHmM3zewAQj93ekfGz4AEjanDdKno6uP9FdYvIXop6/ReAE7s5uxdHVCMzAHsGLbmovhcD7JBiBl8mfFuTFNea/ACnJqhSxW0msdivVT7f0XnwnB0rP8AGRG+yrobV9aI4PT0SBsuCocgGzsYw0HAiCybSG+GqAEQGST2CCG1Hy+ZhDByKjsChAAkV1SMqgWBdT8gO68yg3eHIewTOyGNyuH0Y4VBYWx3KQTeP/RcBkgadIAkc7ttPoS9eQVmnIABmaQp8RihCkTekQ8Rbf/PFjzM/e/MvfACmlhsS/RYtFFVle5D92F+GIJfWYeDcTGq1Gilip3LLQBkJ9XXsX16Ocs/+Z0rIZf65cU5Td1JgVIgW8V2OwWhelH2ACkcM5McCcAosrtQgDE+GG9cDsWvTd6sRwplCMTPCYReNQnQnwAhGo/6KOqfmP5MrsZq1f+ckCx3FlET7D6YjjmcQGQfFlxbiw/AAmc2QpZMxIAES04zwDm+ivmGiy+Nu2HKvijYTIAEft7Y0PvemhWqaBcrlq8nacv36LubFeWDgRATHtrqPl8zbSVJ+9SFCAAQnuBFOBRQM0P6A4rrsAvJp5z5UMcymJcq0qC9kWZicdhQP6BdGnTIHxuW62+8AEGZpD7xGYonFP8m1gpE7qFP0GPtex7rX+tXwJzOlYXpFHoowS0XHyJ1VfuQ3dBzlhApxlHArHJzXQBSMeVV+HLAUBm/1QNv30urGgBYaIlkgIGUWDT/9/GnHE0iGWbDmINIrdJGCUAYvwwnL8diz4cAKRgjoy4NqmF8R00Yw/4AMjt2a2RMX06M16Z+brOl9nNrOjyeAcUzyMegKy6EI6/XdgZIKXzZcV5LQAkYIYjsmfKYL5impjnC0/fxvJzYbxeMfUfmTqQTBP7e2Ndr3poUYUAiFwhf/LyLepxABB9Mg9DHiXAPfwpyubPBruyeemaQbmClcqOms/XDCAXmTSAAgRADCAqmVSHAmp+QLdZehm3HrzgDNSgpmXxV2vdAOTTp08oPfGEQYOdIV0ahM7RDkCYLyuOHICBcUxqKnrKoq6GPcGv69gApLtNcTj/XEPQ2m8/TECrJQRABIklQyexP0iYKeUuSK8tA6TDv1fhd5edAcJkFDGZRdRIAVJAugIbr0ZiJgcAoYNY6Zqa+kgCIMaP0PngWPTZxM4AKZA9IzwnEwDRJ0J8AISKX+ujqn5jIx6/RLOF7MxuxuqlcQ4okVc8AOGLc6m8WXBhnAPvFVh+0x2RMzMBEP0i+nX0P6duY8V5fgAypV1l9GtURjNA7O+Ntb3qoSUBELlChdiERNjMOcuyJxWAnAp8iMHbr+PD5zc7e9mWhFMHYbc9yLYoCzCk5vM1CwifKpZIAEQVYaRFGEIBNT+gmSuZmMwJrjagcRlMbFtZp6QfP35CmUmGBSBW6dOCSfPX1hiQwwAdrib1TawUW0yheKZg/Pftl3rF8XdnYQCEzz/KANG5xSR1mHb4Jra43xE1VgkAUqNYThwZ2hB82VdOHaqil21yYUVqpAApIE2BDVci4XSMnQFCB7HS9DSHUQRAjB+ls7ceoe9mb5YjTA02phYbNekK8B2MU+0H6ZrqOzL88Us05wEgF8c1Rcm8WUVPwRfnEnmy4NJ4LQBkmiNyZiEAIlpwngHzXYKx8kI4r7nJbSvjz8bJAGT64ZvYLOL3xpqeddGqaiG5XLV4O7EvEmEzVz4A8sPyy7h579uXQ/WtJWrxQeIQQM3naxRv81CAAIh5xIm8NIICan5AN1lwHneevuZUtV/D0pjyQxWdiid9+Ijyk0/q7KdPh0wZ0iJ4lnYAcvNePH5YfoVzGqk/RFKM8d1r3bluMfzTpaagpfH5RwBEkHyiO009dBNbPcQBkMW/1ETH2sVEz8U3gOtALgWAtF9+BQH32NfPzfyxKn63IwAiWxDIkEUqsP5KJGZxAJB82TLCewodxKpxUxAAMX5UXYMeod8WNgDJl80K3lNaGt9BM/aA72Ccaj8YL6jart69MLYpSuUTD0BWnAvFP6dDWIsqniczLo9vxpsB4ju1JXJntTKeGCqbmbmGjLmOjK9NalsJ/RuX1Xws9oWr1b/VRetqBEDk2jIP4xPRwFk+AML1XWJCm0oY2CQ53tTkUUDN52vyKERWDK0AARBDK0z2zVYBNT+g7ZzP4n58Imds+tiXwvT2VXXG7e37D6g4xUVnP306ZLFKhyCn1lpNMNcJMdcKcbVzY5qgTP5skl3gu9bh5zpFsahrLUF2A2Li0X4FG9As614bP9YsIsgGdRKuwJRDAdjmES18AAAlAQjXG0aMs9PbV0Ef++R7hamRAqSANAXWXY7A7OO3WIPpIFaanuYwigCI8aN0JugR/uQAIHmzWsFnKgEQfSLEB0Co9oM+quo3lq+2H2OVqdfB1O0Q25afDcXCM2wAUix3Zlz5ix+AXJ/aEnkIgIiVm7e/88lbWHMxgvfziW0qYcDnA3GxL1yt+rUO2lQvLJuvlm7oQfwb2DqfY8kg9Qosru8So1tWwPDm5S1dalnXr+bzNVmFImMGU4AAiMGkJcPmroCaH9BM0TCmeBhX+922JGYKuPPyzbsPqDzNsAAkW8b0uDmzldatdD36GX5e6cbZx3V0E5QrIB2A8F3r0LF2USz+RRgA4QM0BEAM84SYdDAAO66JAyCLutbEz3XkyQDhq42TkgHSdullBHHU35n2QxX88bmwomGUIaukgPoVWHspAnNOsAEIHcSqN/YEQIwfW+bu9AFbfViOMAezzAEtNekK8AEQqv0gXVN9R2qrPXh2TBNNAWWxbalrKBa7sgFI0VyZNfUMu6x2g1fUM5ZZJrORyXCkJo8CziduYc0lfgDC1MhkamUyTewLVyt/rYO2BEDkCRSAe8/fwH4eG4AUzpkJ7hObi56HAIhoySQNUPP5miRBaJDiChAAUVxymtBcFFDzA7rmzNOIf5PEGQqmEDNTkFlXe/X2PapOP6Wrm16fZ8+UHgEztAMQr6g4dFntzjnP6VGNUaFgdsk+8L3VyGRuMABDSOMDNHQFlhD1xPeZeCAAOz3FAZCFXWqiU115AAhfbZwUAMLUq2HqwnzfUhdWFL9qGkEKkAKMAv9dCsfcE8EsMeggVr37gwCI8WPrcvMhBm5jA5BcWTLgxjRH4ztoxh7wAhCq/WC0qN5+mIBWSy5xzi/1xaslriFY4hrKsqkLgFCNAnm3wdwTt/CfFgAyvnVFDG5aTjPp5IMB2C7ihasVPWrjhxqU+S9XxGKevUbDv8+zzMkJQEa1qIARLSgDRK6YMXbUfL4mp05ky3AKEAAxnLZk2cwVUPMDuso0F7x+94EzQj3ql8DcjtV1Ru9FYhJqzDits58+HXJkSg9/HQDEI+Ipuv3nwTmNy8hGqFQoh2QX+N5q/KFGYazoUUeQXZ87cei0ig1o5C68LcgZC+g08YA/dnreFbVSOQHI+w8fUZi4zxwAACAASURBVI6jNk4KAGm95BKCHyaw/CMAIipk1JkU4FRgzcVwOJ9kA5DcWTLAlw5iVblrCIAYP6wuNx9g4LbrLEdyZs4AJlOBmnQF+AAI1X6Qrqm+I4MfvkDrJZc5zbiOboxyBcS/eLX4TAiWnmUDkJTDXL4MEM9JzVEgRyZ9l0TjPysw+1gQ1l2J5NVjXKuKGOKQDEDEZpwv714b7enqY9n22t2412g0nwCIbIIqZEjN52sKSUjT6KkAARA9BaTh6lVAzQ/o8pNPIOnDJ87gdbMujnmdaugMbPzrJNR0MiwAEZIB4hb2BD3WXeP098TwRqhSRDoA4ftR37Z6Iaz8ta5OjZgOfBkqcl67JMgRC+n01z5/7PYWB0CYgvZMYXs52rv3H1FhykmWqepFc+LosIZotfgSbj9iA5DUhRXl8INskAKWqMDqi+GYxwFA6CBWvbuBAIjxY3sy4AEGbWcDECEvsRjfe9P2gA+A+Expgbx09ZFRghd0/wXaLuMGIGdGNUZ5CZnni86EYBkHACmUIxM8JjXnvQLLY2JzFMpJAESujTDrWBDWawEgYx0rYGiz5IwAsRnnlPkvLkrPX78D83cR/CABDcrmxbBm5ZAhXdovRqKfvkbjBfIAEL7riykDRFzMhPRW8/makPVTH+MrQADE+DEgD0xUAbU+oPn+kU8JQ5e6xbCgS02dUYl79Q51Zp3R2U+fDlmt0iFQRxH0SyGP0WuDJ+c0x4Y1RLWiOSW7cCLgAQZz/KhvXbUQVvcUBkCuRTzFLxwZKnIeukteoAoHjt/nhz3eMaJWJmcs3r7/gIpT2LVxUgCI4+KLCHn0kuVf6sKKopynzqQAKfBFgZUXwjDf5TZLETqIVe8mIQBi/Nge93+AITvYACR7xvQI0FHHzfjem7YHfACEaj8YL26B9+PRbtkVTgdOjWyMioXEZ4AsOn0by86FsWwWzJER1ya14AUg7hOboXDOzMYTQ2UzzzwaiI1Xo3hXNaZlBQz7XBRbbMY5ARBxm6XzKjd43/la9+b7GyqinrxC038usIxKuQKL7/piAiDiYiakt1rP14SsnfqYhgIEQEwjDuSFCSqg1gc03xvqKSH4uU5RLOqqu8A3U0SdKaZuyJY5QzrcmtVa6xTnb8eiz0Yvzj5HhtqjRrFckl085n8fQ3f4ssa3rFIQa3vVE2TXLfwJeqxlZ6jM71wDXesVF2SDOglXYNxeP+z1EQdAFnSugS4yxSIx6QMqTeUHIC0WXURYLBuATGhTCQObJBdWpEYKkALSFOA7LBSSTShtRhplbAUIgBg7AgDfd6VsGdPjJgEQvQLE90zznNwcBbLTm/96iStx8M178fhhOTcAkXr17j+nbmPFeTYAKZA9Izwn8wMQpkA6UyeEmjwKzDgSiE1u/AAk9YH4hP3+2OUlPON88S810bG2PNnm8qzWdK1EPH6JZgsvshwMn9sW6dKm0fz3yCev4CATAOG7vpgAiPx7RK3na/IrRRYNpQABEEMpS3bNXgG1PqB1FS/vWLsoFv+iG4DEvkiEzdyzBo1zxvRpcXt2G61znL31CH03e3P2OTjYDrVL5Jbs4xG/+xi+kw1AWlQugHW/WwuyezXsCX7luKLr707V8Yt1CUE2qJNwBcbs8cP+6+IAiJww6vW796gy7RTL4ZQMkOYLLyD88SvW56kLKwpfLfUkBUiB1ArwAhB6E121G4UAiPFDe9TvPoZxfFcSksVrfO9N2wO+Z9q1Sc1RkGo/GCV42gDIyRGNULmw+Kt3F5wKxr/nw1nryZctI5hsH74aIFf+ckCx3FmMooMaJ9UFQEa2KI+RLSpoli72yl26+lj4jtnjfRfj9/mzBgTPao1MGdJp/jsfJJGSAcL3cmjqeAv3nnpqU0Ct52sUdfNRgACI+cSKPFVYAbU+oJk7NWs58V9d9WPNIljWvbZOtR/GJ6KBs2EBSIZ0aRA6p61WX/gKlTOD9g+yQ92S0gHI4Rv3MGLXDdb8DhXzY2MfG50aMR0uhz5Gz/XsK7qcf66O7jbyAhDmWrL3Hz9a9FuBo/fcwIHr9wTFJqWTnACEDzCmAJBmCy8gggOApC6sKMp56kwKkAJfFFhxLhT/nA5hKUIHsercJNqu9Iya106dizbBVfF9VxKSxWuCyzEpl/gACNV+MF6Y/GOe48cVVzkdkFp7cL5LMFZe4AIgVvCe0hJdV7vDMyqONefl8Q4onocAiFy7Ydrhm9jifofX3Ijm5TGqZTIAEXvlrpzX7cq1XlO1s8frLsbv1w5AmGx6Jqv++yYFgPBl7xMAkX+HqPV8TX6lyKKhFCAAYihlya7ZK6DWB3RsQiJs5vCDi3Y1CuPfHnV0xu/e8zewn3dOZz99OjBprky6q7bGV3yTGbN3oC2sS+WR7MJB3xiM2u3HGt+kQn5s/kMYALlwOxa9Oa7omtOxGn6tX1Kyb6kHfvj4CVMOBWCnZ3IqNlOkfckvtWGV/muxOFkmMgMjo3bfwEFfkQCkUw10tZbnOrKExCRUn3GapVQKAGHStZm07e9b6sKKZiAzuUgKmKQCy8+GYuEZNgDJYpUOQTrqSZnkgsgprQrw3dvNDCIAotzm4QMgmTKkRfAs7Vm8ynlpnjPxARC3Cc1QhK4+MkpQ/e4+R4d/uQGI1NqDf7sEYxUHAMmb1Qo+U/kByMVxTVEyb1aj6KDGSaceuomtHvwAZHizchjtWFGzdLFX7sr5spUatU+9JmEAJAEtFl1iSUEAxLR3h1rP10xbdfIutQIEQGg/kAI8Cqj1Aa0LXLSpVgirftNd4Ptu3Gs0mn/eoPsnTRog0ln7W5x8d08zju3u3wD1y+SV7ON+nxiM2csGII3K58PWvvUF2T0fHIs+m9g1Smb9VA09G8gDQFxuPsDAbd8WIJ39UzX8JpN9QQs1kU4jd/ni0I37oryR8zqy+DdJqDmTDUCqFc2BY8MaoemC84h6+prlX+rCiqKcp86kACnwRYGlrqFY7MoGIPQmujo3Cd+93cxqCYAoF/NDvvcwcjc7W1bINabKeWmeM/EBEKr9YLx43rj7HD/JDECcT97CmosRrEXlyWqF61oAyIWxTVEqHwEQuXbD5IMB2H4tmtfcsGblMOYzABm71w/7RNQcnC/jy1ZyrddU7fABkCCnVshilV7jdsijBDguZgOQQjkywWNSc1FL47u+mDJARMkoqLNaz9cELZ46mYQCBEBMIgzkhCkqoNYHdNSTV2jKUTQsJQaOVQriPwEFvqOfvkbjBYYFIIxPkc5tkYYhITyN781DpvuOP+vDrmw+ydtrr/ddjOO4g9S+XF5s79dAkF2+GiVOHaqil20pQTZ0dWIycRiw9X2zxAOgEbt8cdiYAOR1Emo68QOQxvPPIzqODUCo0J6uXU6fkwK6FVjiGoIlrqGsjvQmum7tzLFH0oePKD/5JKfrlvjvn7FiyJcta5UuLULmUAaIPnHhAyB09ZE+quo31jf6GTqudOM0cnRoQ1QvllP0BM4nbmHNJTYAyZ0lA3ynOfJegXVuTBOUyZ9N9Hw0gFuBSQcDsEMLABniUBbjWlXSDBZbc3Dez9XRTearj9UaRz4AcnNmK2TLmAxAbj9MQKsl8gCQl2/fo9p0dv1GAiDy7zC1nq/JrxRZNJQCBEAMpSzZNXsF1PqADn2UgJYcb0ykBKxF5YJY93s9nfFjrvFhrvMxdGOuwGKuwuJrB67HYPQedpYG0397v/qwLycdgPB9AbMtkxc7+7MBCHMYw1xHlVKgjfHhdOBD9N/qw3J/Rvsq6G1fWhb5qAjsVxmZQqxMQVYxTc4fJc9evUPtWewaOylXYDWafw5349iwir5ki4kY9SUFuBVYfCYES8+yAQi9ia7OHfP2/QdUnOLCuTgCIMrFnC9bVkgdN+W8NM+Z+ADIpXEOKJGXaj8YI6o+d56h0ypuAHJkqD1qFMsl2q25J27hPw4AkjNzBvhN5wcgZ8c0QVkCIKL15hsw8YD/l+uEufoMbloW41snAxCxNQcNUftRtoWbmKHdXtH4a38Ayyv/GY7IkSmD5r/fevACbZZeZvWRkgHyIjEJNTiuL6bfZvJvDLWer8mvFFk0lAIEQAylLNk1ewXU+oAOvB+Pdsuu8ManWaUC2NDbWmf8wh+/RPOF7OJjOgeK7BA6pw0ypOOvZcGXpcFMs+UPGzSukF/kjF+77/KMxoQD7C9gNqXzYM8A2y8dH71IxD+nbuNEwAO8//gJ3ayLY3r7qkibNg1cbj7EwG1sADLthyr4oyEBEMnB4Rk4dMd1HPN/IMqsnADk6cu3qDvblTV/yhVYfNk6w5uXx+jPhRVFOU+dSQFS4IsCi86EYBkHAKE30dW5SfgKlzKrJQCiXMyZa2CY62C+b+nTpkGYjjpuynlpnjPxARCq/WC8ePrciUOnVe6cDhwaYo9axcUDkDnHg7D2ciTLZo5M6eE/oxVvBojr6MYoVyC78cRQ2cwT9vtjl1dyPUWuNqhpWfyVAkB238ABETUH5az9qDLZWcvhAyAMDGSgINOC7r9A22XyABC+64sJgMi/09R6via/UmTRUAoQADGUsmTX7BVQ6wNa2921TNCEFvjWlUki1wYIntX6m4yK7+3yfUli+m3qY42mFQtIdoVJg2bSob9v1qVyY+9AO81/ZrINxu/zx5ukD990W9C5BrrUKw6+Iu1T2lVGv0ZlJPuWeiBlgHxVY8iO6zguEoDI+VbWk5dvUU8KAElVWFGWTUFGSAELVGDh6dtYfi6MtXJ6E12dm+HNuw+oPI0yQIwdXb4XUZjsXSaLl5p0BfgAyPmxTVGaaj9IF1aPkd5Rcei8mhuAHBxsh9olcou2PutYENZfYQOQ7JnSI0ALADkzqjHKFyQAIlpwngF/7fPHbm9+ADKgSRlMbFNZM3rU7hs4KAKAWGptRimx4fttf2NaS+TKYqUxefNePH5Yzn6hU0oGyPPX71DLiZ29TwBESvS0j1Hr+Zr8SpFFQylAAMRQypJds1dArQ9or6g4dOH54s4ETWiBb767N+UO/C2n1shslY7X7PZrdzD54E3Ozzf0rodmlQpKdmmbxx1MOcS2XadELhwYbA/mGrDmCy/g4yf2FJ3qFMPCrjU1h/HMofz3bVLbSujfuKxk31IPJADyVY3B231wIuChKF3ndqyOHvVLiBrD1zk2IRE2c86yPk7JALFzPov78Ymsz1MXVpTFETJCCligAkwm3orzbABCb6KrczPwFS5lVksZIMrFfI/3Xc2LIN83pnxbpHM75RxR4Ux8AISuPjJesLX9jjow2A51JAAQp6NB2HCVA4BkTI+AmfwZIKdGNkbFQgRA5NoN4/b6Ya+WwuYDGpfBxLbJAGTkLl8cElFzcFaHqugpU+1HudZrqnb4AMj1qS2RJ6v8ACTu1TvU4bi+mACI/DtEredr8itFFg2lAAEQQylLds1eAbU+oN3CnqDHumu88bErmxc7/tRd4Jsv9VTuwAfObIWsnwuecdne6h6FqYcDOadd16seWlSRDkD4bDPp7Uyauzb40q5GYfzbow6O+N3H8J2+LP8mtKmEgU0IgMi9XwZt88HJm8YDIMx1aPXnsgFI1SI5cHx4IzSYexYPX7ABSOrCinJrQvZIAUtRYMGpYPx7Ppy1XHoTXZ07gK9wKQEQZeOtLROXQJR+seADIK6jm6BcASp+rZ+60kZfi3iKX/7z4By8f5Ad6pYUnwEy82ggNl6NYtnMapUOgU6tea/AOjmiESoXziFtITSKpQBzlR9zpR9f69+4DCZ9BiAjdvnisAgA4tShKnoRABG06/iuoPae0gL5smXU2PCPeY4fV1xl2ZOSAcKXvU8ARFC4RHVS6/maKBGos1EVIABiVPlpclNWQK0P6Au3Y9F7oxev9A3K5MGu/l/rW/B15Es9lTumqQuecdne9P83pmYcDeKcdk3PumhVtZBklza7RWH6ETZcqVEsJ44MbYi1lyIw58QtTvttqhXCqt/q4vCNexix6warz/jWFTG4aTnJvqUeSBkgX9UYuNUHLoHiAIic9/I+jE9EA2d+AFJ/risevXjLinvqwoqybAoyQgpYoALzXYKx8gIbgKRNA0TQm+iq2xEJiUmozlG4lFkoHbwrF26+wyrGg0jntkjDpIJQk6QAHwChq48kySnLII+Ip+jGA0D2DbRFvVJ5RM8z40ggNrmxAUgWq3QI0gJATgxvhCpFCICIFpxngK7C5v0alsaUH6poRjMvtzEvuQltM9pXQW97eWo/Cp3TXPvx/ZviObk5CmTPpFmW393n6PCvPACEL3t/RPPyGEX1GWXdRmo9X5NVJDJmUAUIgBhUXjJuzgqo9QHNFC8/cD0G795/5Cy4Z1MqD/YM1A1A+N68kDvmftMckTNLcsEzrrbucgRmH+eGEKt/q4PW1QpLdmnj1UjM5IArKdcZrb4YjnkngzntO1YpiP961cNB3xiM2s0uDjquVUUMcSAAIjk4PAP7b/HG6aBHoszKCUDuP38Du3nnWPOn7BnrOa54nMAGIEw2EJMVRI0UIAWkK/C3SzBWcQAQxiIdiEvX1VRH8hUupXgrG7GdntGYeIBdL43xImJuW6RlCCQ1SQrwARC6+kiSnLIMcg9/iu5ruTNA9g60hbWMACRzhnS4NYs/A+TYsIaoVjSnLOsiI8BoHYXN+zYsjamfAciwnb6aOpBC2/T2VdCHAIgguXgByKTmKJAjGYD4Rj9Dx5VuLHsFc2TEtUktBM2T0in2RSJsOLL3CYCIklFQZ7WerwlaPHUyCQUIgJhEGMgJU1TAEh7QXPCASd1mUrh1NV3F1HWNF/q579SWyP35vk+uMf9dCsfcE9wQgrmCirmKSmpjChIyhQm/b1UK58CJEY2w8kIY5rvc5jTfonJBrPu9niaVmkmp/r6NaVkBw5qXl+raN+MoA+SrHH9u8cYZkQBEzsKEMc9eo+Hf51lxTbkCiymQzqRaf99SF1aUZVOQEVLAAhVwPnkLay5GcK6cAIj6NkT86yTUdDpN8TZyaLVdB8oUQWeuoKMmTQE+AOIyshEqFaI3/6Wpqt8ot/An6LGW+yrhPQNsYVNafAbItMM3scX9DsuxTBnSInhWG94rsAiA6BfL70frKmzex74Uprevqhk2dMd1HPN/INgBBpwwAIWabgX4AIjHxOYolDMZgFyPfoafOQBIgewZ4TlZHADhy94nAKI7VmJ7WML5mlhNqL+yChAAUVZvms2MFLCEBzRXhkNKfQtdofK58wydVrHfvNA1Tuznqe/75BrLvO3LvPXL1ZZ3r432NYuInfJLf77skkqFssNlZGOsOBeKf06HcNpvVqkANvS2Bl9x0FEtKmBECwIgkoPDM7DfZm+43hKXATLrp2ro2aCkLK7cjXuNRvP5AUjdWWfw9NU71lyp7xWWxREyQgpYoALOJ25hzSVuAEJX8ahvQzx//Q61nM5wLoyAl3Lx3uZxB1MO3eScMGxOG6RPl1Y5Z1Q2Ex8AoauPjBfoq2FP8CtPLcXd/Rugfpm8op2beugmtnqwAYhV+rQImd0GXde4wzMyjmX3yFB71CiWS/R8NIBbAV11PXrblcKMH5MByJAd13FcBACZ0q4y+jUqQ9ILUIAvq9BtQjMUyZVZY4HvHIKpEcKcHYhpfNn7BEDEqCisryWcrwlTgnoZSwECIMZSnuY1eQUs4QG9xT0K074rIJ5S30JXgLyj4tB5tbuubnp/nvq+Ty5j2iDE0m610KFWUck+8GWXVCiYDadHNcFS11AsduUGIE0r5semPjbgKw4q55cqygD5GuK+m7xwNjhWVMzlBCDRT1+j8QJ+AFJn1hnEcQCQPxuVxuR2yfcKUyMFSAFpCsw9cQv/8QAQuopHmqamPIp5ljLPVK5GAES5yDEHt8wBLldjDm+ZQ1xq0hTgAyD05r80PeUYdSX0CX5bz50BsvPPBrAtKx6ATDkUgG0e0Sz3rNKlRcgc/gyQw0PsUbM4ARA54srY0FXX4xsAsv06jgcIzwCZ3LYy/mxMAERIrPgAyJW/HFAsdxaNCb5ziLxZreAztaWQab704cvel/O3uiiHVNzZEs7XVBw+VSyNAIgqwkiLMIQClvCA5vrRmnJVjy5Nr0U8xS88RQB1jRXzeep0V65x2iDE4l9qomPtYmKm+6YvX42Psvmz4uyYplh8JgRLz4Zy2m9UPh+29q0Pvi9xw5uVw2jHipJ9Sz2QAMhXNf7Y5IVzYgFIh6roaVtKllhEPXmFpv9cYNlK+buq7XQaz14nsT5Pfa+wLI6QEVLAAhWYczyIs7YVIwW9ia6+DfH05VvUne3KuTACIMrFe6t7FKZ+9zJNyuy3Z7dGxvTplHNGZTMRADG9gF4OfYye6z05HdvxZ33Ylc0n2unJBwOw/RobgGRIlwahc9qiy2o3eEU9Y9k9ONgOtUvkFj0fDeBWQNe1Vr1sS8KpQzXN4MHbfXAi4KFgKSe2qYQBTcoK7m/JHfl+O18e74DieZIBiFdUHLpwvIiZJ6sVrosEIHzZ+8Obl8doKoIu61a0hPM1WQUjY7IrQABEdknJoFoUsIQH9I5r0Zh08NvClZUL58DJEY10hlFbEUCdg0V0SJ3uyjVs0ZkQLOOBEAu71ESnutIBCF+NjzL5suLc2KZYePo2lp8L41xNw3L5sK1fffBdDTHUoRzGtiIAImIrCOraZ6Mnzt9+LKhvSqdZMgKQyCev4KAFgNSceRpM4d7v2x/2pTGtPWWAiAocdSYFvlNg9rEgrLsSyalL6Jw2yEBX8ahqzzxOeAvrOQRAjB3UzW5RmH4kkNON4FmtkSkDARCpMeIDIHT1kVRF9R93KeQxem3gASD96sOunHgAMvFAgOaFqe9b+rRpEDa3LTqvcoP3HTYAYWo2MrUbqcmjgK5rrZjrcpmscaYN2uaDkzeFA5AJbSphIAEQQYHiAyCXxjmgRN5kAML3ImauLBlwY5qjoHlSOvFl7xMAESWjoM6WcL4mSAjqZDQFCIAYTXqa2NQVsIQHNNf1TBULZsepUY11hkfbHbg6B4vokDrdlWvYglPB+Pd8OKfF+Z1roGu94iJm+7Yr3/VaJfNmwcVxDtA2t22ZvNjZvwH43owc3LQsxreuJNm31AMpA+SrGr9v8MTFEHEAxKlDVfSSKQMk/PFLNF94kRXXlAyQGjNO4UXie9bnqQsryrIpyAgpYIEKOB0Nwoar3ACEruJR34aITUiEzZyznAujDBDl4r3p/39zM44GcU54y6k1MlsRAJEaDT4AcmiIPZiafdSUV+DC7Vj03ujFOfH2fvVhLwmA+GOn512WzXRp0yB8blv8vPIqrkc/Z32+f5At6pYUX3RdedXMY0ZdWR2/NSiB2T9V1yxm4FYfuAQKByDjW1fE4KblzEMII3vJ9YIm49KFsU1RKl9WjXceEU/RjeMmipyZM8BvujgAwpe9TwBE/o1gCedr8qtGFuVUgACInGqSLVUpYAkP6L3edzFun/83cStXIBtcRzfRGUttKeA6B4vokPptD65h804Gg7mqiqv93ak6frEuIWK2b7symSVMhsn3rXiezLg8vhm0zW1TOg/2DLAF35uRzFtAzNtAcjQCIF9VZN7KY97OE9Nm/lgVv/+/sKEcLSw2AS0WXWKZqlI4B06MaITq008h4S0bgKS+V1gOP8gGKWCJCsw8GoiNV6M4l05X8ahvRzx6kYj6cwmAGDuyG69GYiYPAAlyaoUsVumN7aLZzr/8bCgWcnwPpauPjBfS87dj0YcHgGzta4NG5fOLdm7Cfn/s8mIDkDRpgEjndui48ip8OQDI3oG2sC5FAES04DwDdGV19KhfAnM7JgOQAVu9cSrwkeCpx7WqiCEOBECECMYHQM6NaYIy+bNpTLiFP0GPtexaPNkzpUfAjFZCpvnSJ+LxSzTjeHmNAIgoGQV1toTzNUFCUCejKUAAxGjS08SmroAlPKAPXI/B6D1+34Qi5XonXfHR9gaUrrFiPk/9tgfXOG1Fb5kvqcyXValtiWsIlriya3wUzZUZVyc0g/OJW1jDU3DXulRu7B1ohw1XIuF0jP1m5IDGZTCxbWWprn0zjgDIVzl6rr+Gy6FPROkqJwAJfZSAlov5AUi16afwkgOA/G5bEjM/3yssynnqTAqQAl8UmHEkEJvcuAEIXcWjvo3yMD4RDZwJgBg7suuvRGIWx/ccxq/Ama2QNSMBEKkx4nsRh64+kqqo/uPOB8eizybuDJAtf9igcQXxAOSvff7Y7c0GIIy3TDZbh3+vwu8uOwOEedGKeeGKmjwK6Mrq6G5TAs4/JwOQ/lu8cTpIOAAZ61gBQ5uVl8dRlVvhAyBnxzRB2RQAEvYEPdaxAUi2jOlxc6Y4ABIW+xItFrGz9wmAyL/RLOF8TX7VyKKcChAAkVNNsqUqBSzhAX3I9x5G7r7xTdxSrnfSFUxtPwB0jRXzeeq3PbjGabvyZPZP1fBbg5JipvumL199kcI5M8F9YnNou2++TolcODDYHusuR2D28VssH/5sVBqT28lT84EAyFd5f1t3DVfCxAGQGe2roLd9acn7JPXA2w8T0GoJPwCpMs0Fr999YM2V+l5hWRwhI6SABSqgDYDQVTzq2xD3n7+B3bxznAujK7CUizff9xzGA+YgijmQoiZNAb4XcfYNtEU9evNfmqh6jjoX/Ah/bPLmtLL5Dxs0kQBAxu/z+x97VxlYxdFFD05xd9fgFtwhOBR3KFAoXrRQ3CEUijvF3aWFCDFiJMRDIAkEgrtrcb5vXqA8sjP7dvctz3bmJ2/kzrmTZXfOvfdgX8gN5rOs7Uo/RN54Kvh9z8AaqFEkq5E74sO/IGCI1OhWNT/mdyyv6z5gawjcY6QTIGOblMCvjTkBIuW0sQgQ9zH1UCxHet0UfnEP0GujkABJmzIZzs1qLmWZ//qwgtc4ASILRkmdtXC/JgkI3slsCHACxGzQK9rWqwAAIABJREFU84UtHQEtPKD/jryFEbvDv3HFl/JOhvzjHn0XA7bRPwAMjZXzu/7LDm2c2IWXsdoOLJHznBlS4fQkB4iVWyG1mUmN5r984jHXSUiA9K9TGFNbcwJEzlmQ0rfnhkD4X3wopet/fdQkQGJuP0OLZb6C9b+UwCo11QX/vhMSIPp1hWUZzztzBDgC/yEw/ehZbA24SkWEl+KxvYNy88m/qM0JELM7VowAOTOjKTKkTmF2G63VAFYgDi99ZD6Pin3/bOlXFQ1K5pBt3G/7I3EglE6AXHZsiR9X+iPqppAA2fVLddQqKl90XbaBGhnwy7YQuIlkdXS1z48/On0hQILhHnNPMjKjHUpgpAMnQKQAxiJAToyuhxI5EwgQVinuH1IkQ8xseQTIhbvP0ZSSvc8JECnektdHC/dr8hDhvU2NACdATI04X89qENDCA/r4mdsYtivsG598Ke9kyFEnzt3BwO2hhroZ/bv+yw5tsqlHzmJ7IP3Cy9iLbZbIebZ0qRAyxQFi5Ev5fBnx9/A6On0SohWSuKkpes0zQL6i2+OvQJy6JI8Amd6mNPqplAESfesZWi5nEyB2U53x+t1HwXnQryts9B8Nn4AjoFEExP4/4KV4bO9QXH/0CnUXeFE3Ri4Nk5AC+rx9dwRYgR5kYSJGS0RpeVOGwOIT57Hc86Jg8N6BNVCdR/4rA9XIUeSCnFyU09rmflXRUAEBMnZfJA6G0QkQIoLedpUfzt58Jlhy14DqqKVAdN1ICGx2+ICt4qRGF/t8WNCpgm7//bcEwyNWOgEyyqE4RjmUsFns1NzYztNXMfnwWcGULqPqwi5XBt2/e1+4jz6bggR9UqdIitjZLWSZE3vnGZovFX67cQJEFoySOmvhfk0SELyT2RDgBIjZoOcLWzoCWnhAu5y9jcE7viVAcmVIjcBJjQ26hzbW4CAFHfRfdmjDJx6Kwu6ga9SZSYYFybRQ2v5wicWak0KB9axpUyJ0ahOIXbaVzZsBx36ti9UnL2KBy3mBCWqKXnMC5Cu83dYHIDD+kSyXT2tdGj8bcU70Fzt78ylar/ATrP8lA6TEFGe8fS8kQPTrCssynnfmCHAE/kNgypEo7Aik/3/AS/HY3kERI0Di57VE0qScADGF19d5X4IjJdCDrB05rSkypuEEiFI//Ol6Hiu9hAQIL32kFFHjx4kFgG3qa49GdjllLzJmXwQOhd2kjrs4t4UuAyT6tpAA2dG/OuoU5xkgsgFnDDBEanSqkg9/dk4gQH7eEgxPGQQIv0yX7iUWAeI8si5K5U4gQFhapCmTJ8WFOfIIEFbwGveZdJ9J7amF+zWpWPB+5kGAEyDmwZ2vagUIaOEBTXuJz54+FYInOxj0kFPUbQzd+S15YnCQgg7HR9RBmTwZmSPFhAOntCqFAXWLKFg1YYijcwzWeccLxmdKkwIR05pi8uEo7DxNv2wjL2jkRW2V10UsdBUSID/VLIhZKolecwLkq4u6rgvA6cvmI0CibjxFm5UiBMhkZ7z9QCNA8sOxQ0JaPW8cAY6AMgTEnslRM5oiPS/FowxYCx119eFL1F94kmodiZpOxgkQk3iOlelKFg+f2gSZ06Y0iR22uMgCl1ispgTi8NJH5vO267k7GMTIgN/Yxx6NSykgQPZG4FA4nQCJ+0yAkBKridv2/tVQt7h80XXzoWfZKxsiNTpWzodFXRIIkH6bg+B1/r7kDY1oVAxjmpaU3F/LHVkEiP6dgNf5e+i3OVgAU4pkSRA3t6Us+FjBa9xnsmCU1FkL92uSgOCdzIYAJ0DMBj1f2NIR0MIDmlbH9kt2gyH/HDtzC8N3fasfYmiMkt+P/VoHZfOyCRCxurkTW9hhUP2iSpbVjZnnFIP1PkICJEPq5DgzoxkmHjqD3UHXqfOXzJkerqPrYYVHHBa5XRD0UVPzgRMgX+Htsi4AQTIJEGMzhfSde+bGE12kXuL2hRArNskJ7z9+EvyuX1dY8YHlAzkCGkdg0uEokNrRtMZL8dje4bjy4CUa/EknQMilYYpkSW1v0xa4I5IpSzJmaS1sahNk4QSIYq+xMpF3DqiO2rz0kWJcjRkolgG/4Sd7OJSWT4CM2hOOIxG3qGaRaPYfV/oh9s5zwe9KRdeN2b8tj+27OQgnRUiNDpXzYnGXijoIDPVNjNPwhsXwWzNOgEg5PywCRP9OwDP2Ln7eIixFlzxpElycJ48AYQWvcQJEirfk9dHC/Zo8RHhvUyPACRBTI87XsxoEtPCA9oq9h35bvo2eyJwmBcKnNTXop6MRNzFyT4TBfsZ2+Ht4bZTPl4k5zei9ETjMiJr6vbkdhjRQToDMORaNDX6XBWunS5UcpJyKWPZJ8Rzp4DamPpa6X8BS9zjBHGpqPnAC5Cu8ndeeQvCVx7KOnZoESMT1J2i3ik2AFJ3khA8UAkS/rrAs43lnjgBH4D8ExEhpXorH9g5K/P0XaLTIm3lpSEph8Pb9EWBlupKVQ6c4IGu6VN/fCBtdgZWJzEsfmc/hzlG3MYSRAf/XT/ZoooAAGbknHEcZBEjs7OZou9If5+8KCRClouvmQ8+yVyaaEkRbgtXaV8qLJV0TCBBDfRPPMaxhUYxrZmfZAFiIdTsCr2LKEaEGiP6dgEfMXfTfKiRASOJnvGMrWTthBa9xAkQWjJI6a+F+TRIQvJPZEOAEiNmg5wtbOgJaeEDTBMS+ZDcY8s+R8JsYtff7EyCHh9ZCpQKZmeaM2B2OvyPpUVPjmpXEsIbFDG2F+fusf6KxyV9IgKRJmQzRs5pDLPukSPa08BzbAIvdLmC5h5AA6V5NvZJHnAD56sJOa04h5Ko8AsTYUmn6Byjs2mN0WH1KcKbscqWHy6h6KDzxOD4JE0CgX1dY8YHlAzkCGkdgwsEz2BNMz8qLmNYEmdLwUjy2dEQu3X+BxgwChFwapk6RzJa2a7F7ESNASElVUlqVN2UIsDKRt/1cDfVK8NJHylA1bpRYCeB1vaugWZlcshcQ+5Yhz7I2K/wQd++FYN7NfauioV0O2evxAXQEem88Dd+4B0x42lXMg6XdKul+/2lTEHxEyJLEk5CAPBKYx5thBLYHXtXpbCZuR4fVRoX8CUGRbtF38cs2IQGSJAlwWSYBwgpe+7VRMYzlZcsMO0xGDy3cr8mAg3c1AwKcADED6HxJ60BACw9ov7gH6LXx9DcO+ZLdYMhLB0NvYOz+SEPdjP794JBaqFKQTYAM2xWG42duU9cZ26QEfm1cXLENM/4+hy2nrgjGp06RFLGzW0BMtLBwtrTw+q0BFp04jxWeQgFLNUsecQLkq4s6rPZH2LUnsnyuJgESevUxOq4REiBfSqKxfKVfV1iW8bwzR4Aj8B8CYll5XIvA9g7KxXvP4bDYh7oxToCYzt8rPePw5wlhqU9iQdDkxsiRPrXpjLGxleYej8ZfvsJAHB75bz5Hk28O8u1Ba2t7VUHzsvIJkF93h+MfRjBXzKzmOm25ixQCRKnmiPnQs+yVDREgbSvmwbLPBIihvol3Oqh+EUxsUcqyAbAQ67YHXMHUo+cE1ugHRdJ0TL8MuDJfXgYIK3iNZ+2ofyC0cL+mPmp8RjUR4ASImmjyuWwKAS08oE9deoAef31LgPyQIhliZjc36Mv9Idcx7sAZg/2M7XBgcE3YF8rCnGbw9lC4nLtD/X2UQ3GMciih2ITpR89ia8BVwfiUyZLiwtwWEKvZWyBLGviMbwiWgGXnKvmwsHOCkJ6xjRMgXxFsv9of4WYkQEKuPEKntQECl5KSaCdGkwwQJ6q7O1TKi8Wf0+qNPQ98PEdAqwiMPxCJfSE3qNvnWgS2dyri7j5HkyV0AiR6VjOkSZnc9jZtgTtiaZ0RU4MmNUaODJwAUeq22ceisZFSinVzv6poWJJH/ivF1ZhxhKgghAWtre1VGc3L5pY9/fBdYTjGCOYiz7LWK/wQf/+lYF6lmiOyDdTIgJ4bAuF/8SFzt20q5MGK7gkZILIJkHpFMLElJ0CkHKVtAVcwjUKA6AdFupy9g8E7QqnTXXZsiSQkFURiC736CB3XCL/deNaORABldNPC/ZoMOHhXMyDACRAzgM6XtA4EtPCADox/iG7rA79xCKmZTQT3DLW9wdfw+8EoQ92M/n3vwBqoXiQrcx6S/krSYGltROPiGNNEOQFC0m9JGm7i9kVgTSxiK1/mH+D3eyPMd47FWu9LgjnUjPjnBMhXeIn+BkllltMmtyyFX+oVkTOE2ZcIsBMh9sStaPa0cBtdH0Um0QkQ/brCqhjCJ+EIaBCBcfsjsT+UToCETHFANq5FYFOn4vyd52i2lE6AnJvZDGlTcQLEFA5f5h6HJe70DJDAiY2RKyMnQJT6YeY/57DZX5iJvKmvPRrZyRfbVmoHH/cVAVJ2l5SsorU1PSujRTn5BMiwnWE4HkXPZifPMlICK/6BkABZ37sKmiooucX9SUegx1+BOHWJTYC0Lp8bK3tU1g3uteE0/C6yy2UlXuGXuoUxuVVpDr0EBLb8v/z0jH+iBT31gyJdzt7G4B30TKxL81oiGREDkdiCrzxCZ0rwGs/akQigjG5auF+TAQfvagYEOAFiBtD5ktaBgBYe0LT/8FMkS4K4uS0NOml30DVMPPT9CZDdv9RAzaJsAqT/lmB4xN6j2ju8YTH81qykwb2wOkw+HIWdp68Jfv5SX1Ss/FaejKlxamJjODrFYJ1PvGAONSP+OQHyFd62K/0QeeOpLJ+rSYCcjn+IrolIRWJMkWxp4TamPogIOq3pp9XLMp535ghwBP5DYOy+SBwMoxMgXIvA9g5K7J1naL7Ul7qxszObgZT05O37I7DU/QKWugu1zsjKARMbIXfGH76/ETa6AqsUK4/8N5/Dj0bcxMg9dA3EVT0qo1V5+QTI0J2hcIqiZ7NHzWiqI0CuPHwl2LRSzRHzoWfZK3dfH4iAeDYB0qpcbqzqmUCAGMoWSbzTAXUKY0prToBIOQGb/C5j1jEhAbJvUE1UK5xQFUJMiydubgukSJZUylK6PqzgtYH1imASz9qRjKOUjlq4X5OCA+9jPgQ4AWI+7PnKFo6AFh7QNL0CEjARL0E8bEfgVUyhCJSp7dZdA6qjVrFszGn7bAoCEXOntaENimK8EYJzhOAhRA+tkfTaoTvD4HyW/sGSM0MqnJ7kAFb9Zn0hPWMx4wTIVwR/XOmHMzIJkEkt7TCwXlFj3aAbH3DpIbr/9W1WFfl3oglDSmAVn+xMXefHCnmw/HNavSqG8Ek4AhpEQEyXiWsR2N6BiL71DC2X0wmQMzOaIkPqFLa3aQvc0RK3C1jmQSdATk1ohDyZOAGi1G2sUqx//WSPJqV5BohSXI0ZJ0aArOxRCa3L55E9/ZAdoczvCfIsIwTIVQoBorTklmwDNTKg67oAnL78iLnbluVyYXXPKrrfDWWLJJ7k59qFMa0NJ0CkHKUNvvGYczxG0FW/KoSYFg+pZEEqWkhttIoYZCwnraQiKL2fFu7XpKPBe5oDAU6AmAN1vqZVIKCFBzQpFURKBiVuUmpnsgTK1Hbu9v7VULd4dua0YjVYjU1dnXDwDPYEX6euTdJrScSW6zl6+a3s6VOBRBzP+icam/6fypu4qXnhzQmQr+iSj8Som/IyQCa2sMOg+uoQIKcuPkCPDd/q6hDrCmZNoyuBVWIKnQDRryus9t8Qn48joBUExuyNwKHwm9Ttci0C2zsF5249RavlftSNRU5viow/cALEFF5f7HYByxkEiP+ERsjLCRDFbmCVYuWR/4ohNXrg4fAbGL03kjoP0Ycg73Nym5ieIXmWtV7hi+uP/hVMq7Tkllz7tNKflLAl2QCs1qJsLqzplUCAGMoWSTxHv9qFML1NGa1AadQ+//KJx1wnIQGiXxVCTIsndnZzpE6RTLINNE1UMpiTVpIhlNxRC/drksHgHc2CACdAzAI7X9QaENDCAzrqxlO0WSm8PJBSO5NVn1Nt3279uRrql2ATIGIROMamrooJ6pL02iE7wuAeQydAsqZNidCpTcAqX0BS5EmqvBqNEyBfUWy13Bfnbj2TBauaBIj/xQfoSSFA8mf5Ae5j6qPkFBeqbWqeB1mb5505AjaEwOi9ETjMIEC4FoENOfrzVs7efKoTB6a1iGlNkClNStvbtAXuaNGJ81jheZFqme/4hsifJY0FWm0dJk05EoUdgcJMZB75bz7/HQq7gTH76AQIyeQlAU5y28BtITjB0DOMnNYUrVb44sZjIQGitOSWXPu00r/z2lMIvvKYud1mZXJiXW973e/d1gcgMJ5NliSepG+tQpjxIydApJyldd6X4OgcK+iqXxVCTItHLgHC+nbjPpPiLXl9tHC/Jg8R3tvUCHACxNSI8/WsBgEtPKBZlwdSUkdZ9TnVdvDmflXRsGQO5rRi0Tr96xTGVCPqrf62PxIHGIK65OWKiBay9Ecyp0mB8GlNwSpfoJ9GbSxmnAD5imDLZb6Ivi2PAJnQwg6DVcoA8Y27j94bgwQuJRGwHmPrw24qgwDRqyts7Hng4zkCWkVg1J5wHIm4Rd0+1yKwvVPBCuIgOw2f2gSZ03ICxBRe/9P1PFZ6cQLke2A96XAUdlG06Hjk//dAW9qcB0NvYOx+OgGyrFtFtK2YV9pEer1+2RYCNwYBQp5lhOi9+URIgCjNOJFtoEYGdFpzCiFX2QRI09I5sf6nBALEULmsxJD1qVkQM9uW1QiSxm1zzclL+MNFSIDs6F8ddYonlMUWK0UXPasZ0qSUrgHG+nbjPjPOj7TRWrhfUx81PqOaCHACRE00+Vw2hYAWHtAxt5+hxTJh/WwpkROs+pxqH4KNfezRuBS7zrHYy6qx6cZi9eRjZjXHkJ2hOHmerj+SIXVynJnRDKzoveZlcmFt74Q0amMbJ0C+IkjOMznXcpqaBAjRoyG6NIlbnoyp4TG2AUpNoxMg+mn1cmznfTkCHIGvCIzYHQ4SFUhrXIvA9k7KmRtP8ONKYRlPstPQKQ7Imi6V7W3aAne00DUWq7wuUS3zGdcQBbLyDBClbpt46Ax2BwlLsfLIf6WIGj+OBEaRAClaW9q1ItpVkk+ADNgawswoDyMEyHJf3Hr6WrCk0owT41GwzRk6rjkFoo/JakR3h+jvkGaoXFbiOXrXKIjZ7TgBIuXkrPK6iIWu5wVd9ctiHwm/iVF7I6jTnZ3ZDOlSSSdAfC7cx0+Ub7efahbELE5aSXGZ5D5auF+TDAbvaBYEOAFiFtj5otaAgBYe0BfuPkfTJT4Cd0iJnFjvcwnznITRGWr71pDQY/vV/gi/9oS6rLGpq2LlVM7NbIbBO0LhG/eAunb6VMkRNbMZWNF7+lFExmLGCZCvCDZf6oPYO89lQfp7czsMaaCOBsjJ8/fQd3OwYP1cGQgBUh9lprtSbVOTEJO1ed6ZI2BDCPy6OxykLjStcS0CG3L0562wdMzIzyFTHJCNEyAmcTqJ1CURu7R28rcGKJQtrUnssMVFWFp0PPLffN7eF3Id4w+coRqwpGsFtK+UT7ZxA7YGwz3mHnUcIXOJ1tGdZ0ICRGnGiWwDNTJA7JuSQOBQKgc29KmqQ6PL2gAEXZFeAqtXjQKY066cRpA0bpsrPePw54kLgkn0y2KLafFEzWiK9Kmla4Cxvt24z4zzI220Fu7X1EeNz6gmApwAURNNPpdNIaCFB/TFey/gsNhb4DcpLw6s9FS1D8HaXlXQvGwu5rQ/rvTDmRt00Wtjo21G7gnHUUY5lTMzmmLojjD4XaQTIGlSJkP0rOZgRe85lMqJDX0SooiMbZwA+YpgsyU+OH9XHgEyvnlJDG1QzFg36MZ7xd5Dvy1CAiRnhlS6DJCyDAJETUJMlY3wSTgCVojA8F1hOHbmNtVyv98bIl9mHoluhW5lmhx+7THarz5F/T1ocmPkSJ/alrZrsXuZ7xyLtd50AsTrtwYozAkQxb5jadHxyH/FkBo9cF/wdYw/SCdAFnepgA6V5RMg/bcEM0vqEjKXlHe99/yNwHalGSdGg2CjE7Rb5Q9CrLNaY7sc2Ng3gQAxpBeSeI4e1QtgXntOgEg5Oss94rDYTUiA6JfFFitFFzm9KTL+IJ0AYX27cZ9J8Za8Plq4X5OHCO9tagQ4AWJqxPl6VoOAFh7Qlx+8RMM/Twp8QgT3MqYRf3FgpafKdXCSJMCnT+xRhuoci4le96xeAHONeNkUiyYmGJEMkID4h1TjUyVPivNzWoD18ar/Ei0Xs8T9OQHyFZGmS7xx4e4LWZCqSYB4xNxF/60hgvWzpycESH2Un3GCapt+Wr0s43lnjgBH4D8Ehu0Kw3EGAcLFmG3voJBSJaRkCa0FTWqMHBk4AWIKrzs6x2Cddzx1Kc+x9VEkezpTmGGTa4zbH4n9FC06HvlvPnfvDb6G3w9GUQ34s3MFdKoinwDptzkIXoySusGTHdByuS/uUwgQpYSL+dCz7JXbrvRDJCOojljesGR2bO5XTbcJQ3ohiXfavVoBOHbgBIiUE7DU/QKWuscJum7qa49GdgllscVK0Um5x9CfnPXt1r1afjh2KC/FZN5HIgJauF+TCAXvZiYEOAFiJuD5spaPgBYe0FcfvkT9hUIChNSbzWJAPHSFRxwWUaIz5Ho2WdIk+PCRzYAYqnMsVvLI2BcXscs0gtGQHaE4fZme/pwyWVJcmNtCVyeYJqSu/xItF7PE/TkB8hURktFEMpvktHHNSmJYQ3UyQNyj72LANiEBki1dSl0GSIWZdAJEP61eju28L0eAI/AVgWE7w3A8ip4BwrUIbO+khF59hI5rAqgbC5zYGLkycgLEFF53dIrBOh86AeI+pj6K5eAEiFI/jN0XiYNhNwTDlZZaUmoHH/cVgT1B1zDhEJ0AWdipPDrb55cNV9/NQUxNQULmEgLkwYu3gnmVEi6yDdTIALGqAgSCBiWzY8tnAsSQXkhiyLpVzY/5HfllupSjRLI/SBZI4qavCypWii58ahNkNnCPoT+3W/Rd/EL5dutqnx9/dOI+k+IzqX20cL8mFQvezzwIcALEPLjzVa0AAS08oK8/eoW6C7wE3pBSO3uZexyWuAvTU+W6NkWyJHj3gU2AGErzb7LYG3GMC29jX1yG7gyFU9Qd6pYIRoQACb5CF8sjxM6leS3BElKvXyI7SC1TNRonQL6i2HjRSVy6/1IWrGoSICfO3cHA7aGC9Qmh6EUIkFl0AkTNjCBZm+edOQI2hAB5JjufpT+zvcc1QMGsXIvAhtyN4CuP0HktnQAJmNgIuTP+YEvbtdi9zD0ejb98L1Ptcx9TD8VypLdY2y3dsDF7I3Ao/KbATB75bz7P7Tp9TafvR2sLOpVHFwUESJ9NQfC+cJ8652lCgCzzxcOXQgJEKeFiPvQse+XWK3xx9uYzppH6324dVvsjjKFBSZugi30+LOhUwbIBsBDrFp04jxWeFwXW6OuCipWikxLIqT8569utc5V8WNiZ+0zNY6GF+zU18eJzqY8AJ0DUx5TPaCMIaOEBfevJv6g131PgMSmlI1jRGXLdT0pFvXn/kTnMUJp/o0UnEc+48CZp6CQ6SmkbvD0ULufol2kEoyE7w0BKcNAaKe112bEVWELqdYtnw/b+1ZWa9s04ToB8hUPsPLDAVpMAcTl7R1caLXHLlCaFjgCpNNuNakYjuxzY9LmusCqHgk/CEdAgAmLPbC7GbHsHIujyI3RZRydAuOi96fw951g0NvjRCRC30fVQPCcnQJR6g/UOySP/lSJq/Lidp69i8uGz1IkWdCyPLlXlZ4D8tCkIPgwChGSztVjmg8ev3gnWVLqe8SjY5gxiZZXJjvW/3QwJpidGyNIv0z99+oQk5OPVAtpC11is8hLqSq3rXQXNyiTogoplYkkJ5NTfJuvbrWPlfFjURfk9ggVAaXEmaOF+zeJA5wZ9gwAnQPiB4AgwENDCA/rus9eoPs9DgICUyElWdIbcA5U6RVK8fscmQAyl+TdY6IUrD19Rl+1QOS8Wd6ko16T/+g/cFoIT0Xep48kHCbnoFhPLu+zYEiP3RODvyFuCOeoUy4YdAzgBotg5jIFE04Zo28hpvzUtgeGNissZwuzrcvY2Bu8IE/xOxPiIGGxlBgGin1aviiF8Eo6ABhEYtD0Erufoz2wuxmx7ByIw/iG6rQ+kboyL3pvO37OPRWMjgwBxHVUPJXNxAkSpN0buCcfRCOE7JI/8V4qo8eN2BF7FlCN0AmR+h3LoVq2A7EV6bzwN37gH1HHkm6zFMl88oRAgf3Qsh65V5a8n20CNDCCZNtG32Rkg+gSIIcH0xJBZ6mX62/cfMe3oWZ1+Ws6MqTG5VSk0LJnDrB7/wyUWa04KCZC1vSqjedncOtt2B13DREYpuqDJjZEjvfQSmM5Rt3VBjYlbh0p5sbir8nsEs4JooYtr4X7NQqHnZn1GgBMg/ChwBBgIaOEBTQT1qs51FyAg5eJggUssVlNeTuQeqJTJk4K8fLGaoSi3On944sbjf6nD21XMg6XdKsk16b/+A7YGwz3mHnU8iS4l5VbOiIjlkRJY5OP1GEWUt1bRrNj1Sw3FtukP5BkgX9EQI8RYYKtJgDhF3cZQykt0+tTJdQSI/Rzh3xuxS82SaKocKj4JR8AKERAjrT3G1kdRLsZshV5lmxxw6SG6/0UnQLjovelcPfOfc9jsf4W6oMuourDLlcF0xtjYSr/uDsc/lCAaHvlvPkdvD7yKqQwChIhcE7Frua3XhtPwu0gnQMj3RoulPnj2+r1gWqXrybVPK/3FdCUJBvrBa21X+SPy+hPJ0BgblCd5IZkdEwc0Eg1LvwkNZREIMpc02N3ROQbrvIW6Umt6VkaLcgkEiFgmlpRKFvpGEPKH6H4mbsbeIxjcqAY7aOF+TYNutaotcwLEqtzFjTUlAlp4QD988QZVKBeyUsRi5zvHYq23MDpDro8MaYAYqqdby9EDt56+pi77Y4U8IBopd24TAAAgAElEQVQiStvPW4LhGUsnQMjlypCdoaK1Yi/MaaErgUUT5a1RJAv2DKyp1LRvxnEC5Csc9Rd64SojI4gF9tgmJfBrY3UyQI6duYXhu8IFS6VLlUCA0AhH0lnNkmiqHCo+CUfAChEgIpZEzJLWuBizFTrUgMmnLj5Ajw2nqb2kvMfYHiLm2dGMv89hyyk6AeI8si5K5eYEiFLPDN8VRg2iUZppoNQOPu4rAtsCrmDa0XNUSOa1L4ce1eUTID03BML/4kPqnCQojWSAPKcQIErX4/6kI2CIANEPXmu70g+RIkFwiVdoXykvllhgNgHtG3JMkxIYodJ3kZKzNs8pBut9hATIqh6V0ap8AgEilolFqjTkyig9A4SQzIRsTtyMvUdQsndbH6OF+zVb96G1748TINbuQW7/d0NACw/oJ6/eouIsoSaBlFrpjk4xWEd5OZHrkORJk+D9R7YIuqH07urz3HH32RvqsuQlibwsKW19Nwfh5Hm6KCG5XBm0IxQxIqnSsbObY9SeCKqOSLXCWbBv0PclQEgJLkup56rUB3LH1V3gieuP6BlBrLnUfNFnvUSnSZkM5O+qGqXkHLGLEyByPc37cwSECIhl7XExZts7Mf4XH6AngwCR8h5je4iYZ0diBIjTiLoonYcTIEo9M2xnGDWIhkf+K0XU+HFbT13B9L/pBMjc9mXRs3pB2Yv0+CsQpy7RCRAScEUIkBdvhBkgc9qVRa8a8teTbaBGBjRd4o0Ld18wd1uzSFbsHpiQvf/jSj/RKgCJJ7HUbAIaAVKtUBbsG6zON6qSo8PSlVrRvRLaVMijm3J7wBVMZRCRUkp569tFSlWPoBAgrcvnxkoj7hGU7N3Wx2jhfs3WfWjt++MEiLV7kNv/3RDQwgP62et3KD/jhABDKaVCxEQv5TglaRJAhP+Aoegm+zluePDiLXXJluVyYXXPKnLM+aavmCghieYnJbBi7zxnzh89q5mOAKHpiFQtlBn7B9dSbJv+QFYGCCnBlYwArKEmVhKNBYOaBMjRiJs63ZfEjWjdeI9rSNXcIX1rF8uKnQPUKYmmIXfzrXIEvkGg/5ZgeDCy9rgYs+0dFt+4++i9MYi6Ma75Yjp/Tz96FlsDrlIXPPZrHZTNm9F0xtjYSuQ90/nsHcGulF602xg8ZtnOFv/LmPFPNHXt2e3KorcCQqL7+kAExLMJEJKZ8PLtB8Gas9uWQe+ahcyCgy0u2mSxN+LusQmQ6oWzYO/n4LU2K/wQdfOpZBgsNZvAEgmQWf9EY9P//84St2XdKqJtxby6fxbLxCJl4/Jm+kGyb1jfbq3K5caqnsoDKSUboKGOWrhf05A7rXKrnACxSrdxo02BgBYe0C/fvEeZ6a4COKVcFLFeTtT2jaHopkqzTuAxRRiQ2NGsTE6s622v2CQxUUJCEg3eHir6ohw1oylG742Ee4ywJEuVgplxcMj3JUDi5rZAimRJFe/fGgfWnu+Jm0/kZYCMdiiBkQ7qlMA6En4To/YKCRCidUOyhmo4elBhVVMTxhr9xm3mCKiBgFjZwhOj66FETi7GrAbOljKHz4X7IIEKtOY5tj6KcM0Xk7iK6CEQXQRa4wSIcS4g75ku54QEiNKLduOs4aMJApv9L2MmiwBRSEh0XReA05cfUQH2HtcAzZf64t93QgJkVtsy+IkTIKodTIfF3rgoQoDoZ++3XuErWgY5sVEkc4FkMFhas0QChJVVqE+AiBGRcjXADoff0H2vJ24tyubCml7KAyktzdeWYI8W7tcsAWduAxsBToDw08ERYCCghQf063cfYDfVRYCAFNFKsZIHah4qQ9FN5We4UoUBiQ1NSufEXz8pJ0DEavISkmjwjlBcuv+Sud3I6U0xZm8ENSK5UoFMODy0tipQsTJAzs9pjlTJk6myhrVMIqYJw9qDmgQI6yWaiAqeHNcAteZ7Us1QUxPGWnzF7eQIqI1Av81B8GKULZTy/5ra9vD5vi8CJ8/fQ9/NwdRFuObL98Vef/YpR6KwI/AadcF/htdBuXw8A0SpNwZuC6FmERt6N1a6Hh9nGIGNfpcx+xg9A0QpIdFlXQCCGAQIKefXfJkPXr/7KDBuRpvS6Fu7sGGjeQ9JCDRadBLxIt91+qWhWi33xblbzyTNSzoZW5ZZ8kIyO1oiAcLKKlzStQLaV8qn26EYESmXADkYegNj9wsJEGMDKWW6QhPdtXC/pglHWvEmOQFixc7jpn9fBLTwgH7z/gNKThESIMdH1EGZPOIfrNOOnsU2RskDNT1j6OW+zDQXalo4saGxXQ5s7FtVsTliKemuoxIIkMsP2ARI+NQmGL0vgqojUiF/Jhwd9n0JEKJBkjqFtgiQmo4euP30tSyfj3IojlEOJWSNYXVmvUQTrRvv8Q1BMlRoTT+tXhVD+CQcAQ0i0GdTELwv0HWbuBiz7R0Ir/P30I9JgNRDsRw848cUXp98OAo7T9MJEPKeQ953eFOGwICtIdQs4pk/lkGfWrz0kTJUjRu1wTcec47HUCdR6pcuawMQdIWeAULK+TVb6oO374UEyPQ2pdGPEyDGOVRvdKM/TyJe5LvOvmBmHPicvd9ymS+iRXQgExtlqeWULJEAYWUVLupcAR2rJBAgm/wuYxaDiCRZUwWzppV8LvaHXMe4A2cE/Y0NpJRsgIY6auF+TUPutMqtcgLEKt3GjTYFAlp4QL//8BHFJjsL4JRSskDsg1dN/0xrXRo/12FHN9lNdaZGRREbGpbMjs39qik2RywlnQh7EgLk2qNXzPlDpzhg9L5IkDIdiVv5fBnx9/A6im3TH8jKACEaJGlSJldlDWuZpMY8D9x5Jo8AGdm4OEY3UYcAYb1EEykWogFSd4EXFUr9tHprwZrbyRGwNATEdJu4GLOlect4ezxj7+LnLSHUiXjJM+PxlTrDxENR2B1EJ0CODKuNipwAkQqloN+ArcFwj7kn+Hd+8a0YUqMHihEgSv3See0pBF95TLWNlPMjJbDefhASIFNbl0Z/kW8kozersQkaLPTClYfs7zr98sVEmD5GBgFiqeWUqARI4SzY91nrxBxHgHXHsLBTeXS2z68zSezvkGRNFcomnQDZF3Id4ykEiEOpnNjQR3klCXNgZ+lrauF+zdJ9oHX7OAGi9RPA989EQAsP6E+fPqHwRCcBBlIi9sQ+eNU8VlNalcKAukWYU5aY7Ez9KCAD6pXIjm0/KydAxCKyCElECJAbj9l6E0GTG2Psvkj4xj0Q2F82bwYc+7WuKlCxCBCiQZI+dQpV1rCWSarNdce9529kmasmAcJ6iSYGkZRsFgFStVBm7B+sjiaMrM3zzhwBG0JATLdJSmajDUGhia14xNxF/610AoRkaZbMxTNATHEQJh46g91B16lLHR5aC5UKZDaFGTa5BkvXyFBwkE2CYSGb+ssnHnOd6BkgSv3Scc0phF6lEyBEc7DZEh+8//hJgIChbyQLgcxqzKi/0AtXRQiQygUy4dDn8sVEmD72znPJe2teJhfW9rY8PQlLJEBYdwwLOpZHl6qGCRC5GmB7g6/h94NRAl8aW0lC8uHQUEct3K9pyJ1WuVVOgFil27jRpkBAKw/owhOP41Oid+pDQ2uhsoEP1t8PnMHeEPoHr5r+mdTSDgPrFWVOWWTicVC+CXT96xbPhu39qys2p9OaUwhhfJD8Pby2TgT9lki5pdOTGmP03gicuvRQYEPp3BngNNJ4AuTjx08oMklIYpEFiQZJxh+0RYBUneuO+zIJkBGNi2OMShkgrJdo4g+Skl1/4UnqedRPq1d8YPlAjoDGERAjQKRkNmocPqvbvnv0XQzYRidAeMkz07lzwsEz2BNMfx88OKQWSNQ0b8oQ6Ls5iFpGlV98K8NTjVHrvC/B0TmWOpXSjIwOq/0Rdu0JdU73MfXQbKkvPlA+dia3LIVf6rGDxNTYr5bmqLvAE9cfsQPbSDYbyWojTS4B0rR0Tqw3Qpfye/nBEgkQ1v8pf3Qsh65VC+igWO9zCfOc6H+HhDQsmj2dZMhIBiMhXRI3YytJSDZAQx21cr+mIZda3VY5AWJ1LuMGmwoBrTygi01yEkQVHRhcE/aFsohCPW5/JPaH3vju7pjQwg6D69MJEFYGyxejahXNil2/1FBso9gHCXkBJgSIWLmlUxMaYcy+CATGC+v62uVKD5dR9RTb9mUgq4wZ+T1iWhNkSpPS6DWsaQL7Oe548EJeBoiaBAjrJZpgSCKSGi3ypsKpH1VmTXhzWzkCloRArw2n4XdRmHFHbORizJbkKXVsOXHuDgZuD6VOxkueqYOxlFnEAmIODqmJKgXF3yelrKHVPixdI37xbb4Tsdb7EuYzCBClxFT71f4IZxAgbqProelSH0GwGkFgYgs7DGJ8I5kPIetduc4fnqKZ/fr6jSQr5/xd6RkgllpOyRIJkPEHIrEvRHjH4NihHLpXSyBAxIhIQhrK0QDbefoqJh8+Kzi49Utkx1YjKklY71/C97NcK/dr3w9BPrOxCHACxFgE+XibRUArD2haCam9A2ugepGsor4lF/uHwm5+d/+Pb14SQxsUo65DoqGKMrIfyIAaRbJgz8Caim1st8ofEdfpEVkkS2bQ9lDRbANS8mjs/kgEXRYSICVzpofraOMJECKKWGKKUMeFbDpsahNkSastAqTKbDc8fPlWls9HNCqGMU1LyhrD6rzr9DVMOiyMIiL9yQu5w2If6tBKBTLh8Oe0elUM4ZNwBDSIQI+/AqkZdwQKkrVXPh8XY7alY+F67o7u/2Fa4xk/pvO0WECMlIAa01lqfSuxstoMZUdb306tx+I1Jy/hDxd65LlSYkrse4PoGTVdQn93FAsSsx5ELcfS2vM9cfMJOwNEX7+x6RJvXLj7QrLxDqVyYEOfqpL7m6qjJRIgv+2PxAFKkOXc9mXRs3pBHTRif4dyNcC2B14FEV5P3IytJGEqH1rTOlq5X7Mmn2jNVk6AaM3jfL+SEdDKA5omIr77lxqoWVScACGlnQ6Hf38C5LemJTC8UXGq3968/4CSU1yYPjVWWLrtSj9E3nhKnZ981BMNkAcv2JftPuMa6jJAaGW0iudIB7cx9SWfR1bH1+8+wG4qHYOQKQ7Ili6V0WtY0wSVZ7vhkUwC5NdGxTBWJQJkR+BVTKG8RBMMXUbV1QlZ0pp+VJk14c1t5QhYEgLd1wciIF5YcpDYKEXbypL2wm0xjIDL2dsYvCOM2pETIIbxU6sH67KKzE+EdMm7GG/KEGBltfGLb2V4qjFq9cmLWOBynjqVUmKq7Sp/RDICrsTeHcWCxNTYq9bmqOXoIVrauFzejPjn1zo6WJos9kbcPekESCO7HNjUlxMgUs4UK8hydruy6F0jgQAR+zuUqwG2PeAKph49JzCtTrFs2DFAeSltKXvVWh+t3K9pza/WtF9OgFiTt7itJkVAKw/oMtNc8PLth2+w3TmgOmoXyyaK94jd4fg78tZ39wnRZiAlimjt37cfUGoamwAxVlehzQo/RN2kEyDko37Q9hA8fvWOiYHXbw0wdl8Eta5v0exp4TG2gdH4vXr7HqWnuVLnISLsOdKnNnoNa5qg4qwTeCLiE9pe1CRAWC/RZF0iwtxquR8Vzgr5MuLo8ISPKt44AhwBZQh0Wx9ALTlIZiNlC0n9bt5sBwHnqNsYspNOgPCMH9P5eey+SBwMo5dElZJRbDpLrW+lnhsC4X9RSOryi2/z+XKV10UsdKUTIEpLUv240g9nGAFXYu+O45qVxLCG9Cx58yFkvSvXdPTAbRFtx7J5M+DYrwn6jQ6LvXFRBgFiqXoSlpgBwgqynN22DHrXLKTDX+zvUK4G2NZTVzD9byEBYmwpbev9S/h+lmvlfu37IchnNhYBToAYiyAfb7MIaOUBXW6GK56/fv+NH7f9XA31SmQX9e3wXWE4dub2d/f/KIfiGOVQgrrOizfvUXY6/fKfDDBWV6HVcl+cu/WMujbJkiEEyLNE2Ol3JiJs5GKAVkarSLa08PzNeAJEDIPAiY2RK6O2CJAKM0/g6b9sUormzOENi+G3ZuqUwGK9RJN1yYXcjyv9qedJP6rsu/9R8QU4AjaKQNd1AThNKTlItkvKFlYuwMWYbcn1x8/cxrBddAKEZ/yYztNiJVH3DKyBGgZKqprOUutbiZXVxi++zefLlZ5x+PPEBaoBSjNzxAKuSDZb6xX04BmxLHnzIWS9K1ef5467z9g6gqVzZ4DTyAQCpPGik7h0/6XkzVqqnoQlEiAj94TjaIQwyHLmj2XQp1YCASL2dyhXA2yz/2XM/Cda4EtjS2lLPhwa6qiV+zUNudTqtsoJEKtzGTfYVAho5QFNi5jf3K8qGpbMIQr10J2hcIq6893dIabP8PTVO1SYdYJpg7FlhVos80XMbToBsmtAdV3t8edvviWP9I0hwoWkNAStjFahrGlwclxDo/F79vodys+gY0BE2PNk+sHoNaxpgvIzXEVJKdpe1CRAtvhfxgzKSzRZ9/DQWmi/+hQVTv2oMmvCm9vKEbAkBLqsC6BqLhEbDw6phSoFOQFiSf4y1pZjZ25h+K5w6jTkeVuJE17GQixpvFhJVCklVSUtotFOLFKXX3yb70Cs8IjDIjc6AaI0M6f1Cl+cvUn/3iBkLimRRWtiWfLmQ8h6V6421x33nrMJkFK5M4BkF5DWaNFJxMsgQEhgIQkwtLRmiQTIr7vD8Q+lysT0NqXRr3ZhHYTLPeKwmPF3KLcE5ka/y5h9TEiAGFtK29J8bQn2aOV+zRKw5jbQEeAECD8ZHAEGAlp5QNM0Ezb2sUfjUjlFz8bg7aFwOff9CRCxy2mi9UDsZzV9sTolB735Uh/E3nlOHbq9fzUdAfIqUfkw/c6kBunY/RHUj5oCWdLAZ7zxBMiTV29RcRYdA7/fGyJf5jRKtm61Y8pNdxUlpWgbG9awKMY1s1Nlz5v8LmMW5SWaTH5wSE10XBNAXadMngw4PiLho4o3jgBHQBkCndeeQvCVx9TB5O+vSkGuRaAMWcscRcpwknKctMYzfkzns1F7wnGEEq1LLCDBIrUMlFQ1naXWtxKL1OUX3+bzpdjFq9LMHLGMc/Is68AInhntUAIjHehlgs2HkPWuXHWuO+6LECB2udLDZVQ93QYb/XkS8Q+kZ4BYqqC2JRIgJLOTZHgmblNbl0b/OgkEyDL3OCxxpxOR/wyvg3L5Mko+iBt84zHneIygf9VCmbF/cC3J8/COhhHQyv2aYSR4D3MhwAkQcyHP17V4BLTygLaf444HL76NdvnrJ3s0KS1OgPyyLQRu0Xe/ux+HNCiK35vTL6fJSyp5WWU1Yy+Vmy7xxoW7dIG7rT8TAiQEr999ZK5PUnBJBkg0JYskb6Yf4D+hkdH4iZFAvuMbIn8WbREgpCQaKQsmpw1tUBTjGWdMzjykL+slmvxGdGPIZQat6UeVyV2T9+cIcAQSEOi05hRCrtIJkAODa8K+ECdAbOmsHI24iZF7Iqhb4oSX6TzNKldCLJCiKWc6S61vJRapyy++zefLpe4XsNQ9jmqAUgJELOOc/N/VaS393XFk4+IY3YReJth8CFnvyvZz3PDgxVvmBkrmTA/X0QkESMM/T+KyDALEUgW1LZEAYVWZmNKqFAbULaLDX+zvUK4G2F8+8ZjrJCRASNYwyR7mTT0EtHK/ph5ifCa1EeAEiNqI8vlsBgGtPKBp9U7X9qqC5mVzifpywNZguMfc++7+HlS/CCa2KEVd587T16jh6MG0wdhLZTGBO1ImbNC2ULz9wCZASAouIUBoWSR5MqbGqYmNjcaPkFeExKI173ENUDBrWqPXsKYJykxzwUuRrBzaXkxFgJBSIN3/CqTCqR9VZk14c1s5ApaEQMc1pxDKIED2D66JqpwAsSR3GW3LkfCbGLWXToBwwstoeCVPwCpXQibY0b866hTPJnku3vFbBFjPNH7xbb6TssTtApZ50AkQpaXJxDLO9w6sga7r6e+OIxoXB8kG4k0dBKrMdsPDl2wCpETOdDgxur5usQYLvXDl4SvJC1uqoLYlEiCsKhOTW5bCL/USCBBS/opkY9HakWG1UTF/Jsm+Wed9CY7OsYL+lQpkwuGhtSXPwzsaRkAr92uGkeA9zIUAJ0DMhTxf1+IR0MoDupajB249ff2NP1b3rIyW5XKL+qjf5iB4nb//3f04sF4RTGpJJ0BuPvkXted7Mm3Qj9RRYqhYfVdSJoyUwHr/8RNzahKBQggQWhZJrgypETjJeALk3rPXqDaPTgJ5/dYAhbNpiwApNdUF/777IMvdYllGsiYCsN7nEuY5CV+iyTzkIqjXxtPUKY09q3Lt5P05AraIQIfV/gi79oS6NXKJVJ2LMduU2w+H38DovZHUPXHCy3SuHr4rDMco5UqIBaTmPal9z5syBFjPNH7xrQxPNUaJXbwqLU0mRoCIBc/82qgYxjYtqca2+BwAKs06gcev3jGxKJ4jHdzGJBAg9Rd64aoMAqRmkazYPbCGReH86dMnFJ7oJLDJ3NoXA7eF4ASlysTEFnYYVL+ozt7FJ85juedFKp5yNcDWnLyEP1yE327GaolalLMtxBit3K9ZCNzcDAoCnADhx4IjwEBAKw/oOn944sbjf79BYUX3SmhTIY/o2eizKQjeF74/AUJqfZKan7R2/dEr1F3gJelFVclBF0tvJmXCBm4PwSc2/6ETvR534Awu3hOW0cqRPhWCJjsoMeubMWJZMO5j6qNYjnRGr2FNE9hNdRYtS0bbi5oEyFrvS5hPiSIi65KyaeTvhtb0o8qsCW9uK0fAkhBov9of4QwCZM/AGqjBCRBLcpfRthwMvYGx++kECCe8jIZX8gSseu1f/t+rzwkQyVgm7thulT8irgtJXX7xrRhSoweKXbwqLU3WbIkPzt+law6SMnI9N9CDZ8R0Eo3eqAYnqDjrBJ6IECBFs6eFx9gGOmTqLvDE9Ufffj+LQVa9cBbsHVTTolB9/+Ejik12FthUrVAW7BtsPlsHbA2Be4ywzDYpiU2+2Uj70/U8VnrRCRBStoqUr5LaVnldxELX84LuxmqJSl1fS/20cr+mJZ9a2145AWJtHuP2mgwBrTyg6y3wwrVH36bwLutWEW0r5hXFuvfG0/CNe/Dd/dGvdiFMb1OGug6pvUpIClYrkj0tPD+/qCoxVCy6Z22vyhi8I0x0WvICNu5AJOLvC0XysqVLhZApxhMgt578i1qMLBi30fVQPGd6JVu32jElpzjjzXt2WTLaxgbXL4oJLdQRQWdFEZF1N/etin5bgqnYEqKKEFa8cQQ4AsoRaLvKH5GUy0IyI4mirVk0q/LJ+UiLQ+BA6A1dliWtccLLdO4atjMMx6OEgrXEgi39qqJByRymM8bGVmq70g+RN54KdjWsYVGMa6bOe4uNQfbdtyN28TrKoThGOcgvSSWmOUiyqH5iBM+oWcL1uwNnBQtUmHkCT/9lZ4Dof1fSAgjFtmjurAqabW/ff0SJKZZHgPTfEgyPWGGZ7fHNS2Jog2K6rSx0jcUqr0tUyOVqgK30jMOfJ4SC6mXzZsCxX+tawcm1HhO1cr9mPR7RnqWcANGez/mOJSKglQc0LcuBkA5JkyRB8qRJ0K92YeTKmFqAWs8NgfC/+FAimsq79a1VCDN+pBMgJLOC6HSwGin/RMpAKW1i0T0re1TC8F3holOTEhzjD5yhiuRlTZsSoVObKDXtv3E3Hr9CnT/oWTCuo+qhZC5tESAlJjuL6rLQABfTmZHrIFYUEZlnw0/2GLAthDqlflSZ3DV5f44ARyABAdZlIflt1y/VUaso1yKwpbOyL+S67v9YWuP+Np2nh+wIhfPZO9QFCfHf0I4TIEq98eNKP5yhECD84lsposaPE7t4VarNYkhzsN9mevCMmgE8xiNj/TOUm+GK56/fS/quJCWYSSlmqa1qoczYP9iyBLVfv/sAu6kugi2YOwOEVWZ7XLOSGNYwgQAhJatI0BmtyS2BucIjDovchARImTwZcHwEJ0CknnEp/bRyvyYFC97HPAhwAsQ8uPNVrQABrTygGy86iUuUDIUvLiKZCl6/1Uf61Cm+8Vr39YEIiP/+BEjvGgUxu11Z6om5cPc5mi7xYZ6mAlnSwGd8Q8WnTezldmnXikzx1S8LkhIcpARW4gwb8nvmNCkQPq2pYtu+DLz28BXqLaQTIM4j64IIwWupFZ/shHcfROqSUcBQkwBhRRGRZdf1rqLTjaG1ItnSwtMIsk5LPuZ75QiwEGBdFpL+pIxI7WKcALGl07Mv+DrGH2QQIAOqoxb3t0nczRKsJYtv6muPRnY5TWKHLS7SeoUvzt58Jtgav/g2n7cXuMRiNePidUSjYhijQJND7FuM/A39vIUePKPm+6v5ELWclctNd8XzN2wCpFDWNDg5LuG7Ui4BYl8wMw4MsSwC5NXb9yg9zVXgAHMTIKwy22OblMCvjYvr7CXlhknZYVqTWwJzmXsclrgLCRDyDU2+pXlTDwGt3K+phxifSW0EOAGiNqJ8PptBQCsPaLG06y/O1Bcd+/JvXdYFIOjyo+/u757VC2Bu+3LUdaJvPUPL5b5MG/Jl/gF+vzdSbCNNIP7LZAs7ldeRG2KNRKCS6NTEGitkTMYfUiByuvEEyJUHL9GAUQbs+Ig6KJMno+L9W+PAYpOcRIXpaXsaVK8IJrYspcp2WVFEZPLVPStj6E562TRjs5VUMZ5PwhGwcgTarPBD1E1huRiyrR39q6NOcU6AWLmLvzF/T9A1TDgURd0S97fpPD1oewhczwnrtRMLNvaxR+NSnABR6o2Wy3wRfVtIgKj53qLUNq2OE4s8V6rN0mjRSWq5XIIx0Rz8hZE9PLBeEUxS6f1Vq/7U33eZaS54+fYDE4qCWdPA+zMBIvaNSJugcoFMODS0tkXB/Pz1O5SbcUJgk7kJEFaZbX2NHUenGKzziafiKbcE5hK3C1jmEdp1JboAACAASURBVCeYyy5XeriMqmdRPrN2Y7Ryv2btfrJl+zkBYsve5XszCgGtPKCbL/VB7B268J4+gFfmt/oGz85rTyH4ymOjMJYyuHu1AnDsQCdAzt58itYr/JjT5MmYGqcmNpayDLVPjXkeuPPsNfU3YtNExsXLlwHkAub3g2eoKdLpUydH1Ixmim37MjD+/gs0WkQvA3bs1zoom1dbBEiRicfxUV4CCNS8SGBFERF/reheCb/uppdN048qM/pQ8Ak4AhpFoNVyX5y7JbwsJHBs718NdYtn1ygytrnt3UHXmP8Pc3+bzufkctYtmk6AkMvbJqU5AaLUGy2W+SKGQoDwi2+liBo/ztE5Buu86RevSkXJG/15EvEPhHqBxNq1vapg8A569vAvdQtjcqvSxm+Kz6BDoPQ0F7wSIUDyZ/kBvuMTAutqOnrg9lP6NyINzor5M+HIMMsiQIjeCdE9SdzMTYD02nAafheFOqP6GjvznGKwnkGAyC2BufjEeSz3FAqql8iZDidGc31GNR8PWrlfUxMzPpe6CHACRF08+Ww2hIBWHtCs6LLEroyb2wIpkiX97587rPZH2LUn393jXe3z449O5anrELFbInrLarkypEbgJOUESNW57rj//A11+tlty2Dq0XOi+yfChSQDhEaipEuVHGdnGk+AXLz3HA6L6WXA/h5eG+XzZfruPrKkBQpPPI5PMgkQNS8SWFFEBKNl3Spi5J4IKlzGlmuzJB9wWzgC5kJA7P8z8jyuV4ITIObyzfdYd+fpq5h8+Cx16q0/V0N97u/vAbtgzgFbQ+AeQydA1veugqZlcpnEDltchBWkNKBOYUxpzS++zeFzschzpeL0DRZ64crDV9TtiGUP969TGFP5OVDtGNhNdcbrdx+Z8+lXFhALkqNNUCF/Jhy1MALk8cu3qDTbTWCuuQXbe/wViFOXhGW2RzQujjFNSujsnXMsGhv8LlN9tUtmCcxFJ85jBYUAKZYjHdzHcAJEtT+w/+thauV+TU3M+FzqIsAJEHXx5LPZEAJaeUCLlQzRd+ehobVQuUDm//6p3Sp/RFw3ngAhpaBIBAqrda6SDws7V6D+HHr1MTquOcUcmz19KgRPdlB8Ku3nuOHBi7fU8dNal8asY9Gic2/uVxW/HziDexQSJU3KZIie1VyxbV8GiumgHB5aC5X0fGb0YlYwQaEJx2VbqWYE3WK3C1hOSaMmRi3uUgFj9kVS7dOPKpO9AT6AI8AR0CHAipYmv/ELcds7JDsCr2LKEToBsqVfVTQoycW3TeH1AVuD4R5zj7oU0b5qxgkQxW5glan9uXZhTGvDCRDFwBoxUCzyfEiDovi9uZ3s2esv9MJVBgGyskclDN9Fzx7m50A21KIDSk5xxpv3bAIkb6Yf4D8hIQOk+jx33H1GD5KjLVI+X0b8PbyOugYbOdvDF29QZY67YBZzEyDd1gcgMF5YZlu/xNzsY9HYyCBA5JbAXOgai1VeQj2RItnTwnNsAyNR5sP1EdDK/Rr3uuUiwAkQy/UNt8zMCGjlAU0yKEgmhaE2vnlJDG1Q7L9uYmKzhubS/316m9KY+Q+bSOhYOR8WdaETIMFXHqHz2gDmctnSpUTIlCZyzPmmb+XZbnj0kk6ATGpph3lOsaJzE+HC8Qei8OCF8AU5dYqkiJ3dQrFtXwbG3nmG5kvpOigHh9RClYJfSSujF7PwCT59+oTCE51kW6kmAcKKIiJGLehUXpcRRGv6H1WyN8AHcAQ4AjoExEo6EkK6Ib8Qt6mTsj3gCjMTc3PfqmhoxwkQUzi8/5ZgeMTSCZC1vSqjedncpjDDJtdostgbcfdeCPbWr3YhTG9Txib3bOmbmns8Gn/50iPPlYrT11vghWuP6BkgYtnDfWsVwowf+TlQ68yUmOKMtyIEiH5p5Wpz3akBbixbyuXNiH9+tSwC5N7z16g210NgsrkJEJbOqH6G1cx/zmGz/xUq3HIzflm6PlyfUa2/rK/zaOV+TX3k+IxqIcAJELWQ5PPYHAJaeUBLLWVFSoeQF4ovrfUKX5y9Sa+1LucwOI+siwOhN7DJ/zK1dFH7SnmxpGtF6pSB8Q/RbX0gc7nMaVIgfJpyofGKs07gySt6dsq4ZiWx0PW86FZJ7WuiAUIjUVImT4oLc4wnQM7deopWy+k6KAcG14R9oSxy3GHVfT9+/IQik+QTIGqWkmBFERFg53coxxTs5QSIVR89bryFICBKgPALcQvxknpmbAu4gmmMUpQkAKGRHdeeUA9t9kz9NgfB6/x9aoc1PSujRTlOgCj1Q+NFJ3HpvlAbgl98K0XU+HFikeeD6hfBxBalZC9Sd4Enrj/6lzpuSdcKGL2Xnj3cp2ZBzGxbVvZ6fAAdgeKTnfDuA7uObu6MqRHwWVtSrEwybfYyeTLg+Ii6FgX93WevUX2e5REgLJ3RoQ2KYvznDKsZf5/DllN0AkRuxi9L10df9N6iHGfFxmjlfs2KXWTzpnMCxOZdzDeoFAGtPKClipmTkk2R05v+pwMiVmpEDuauo+qhZK70IHVIxx88IxDSbFsxD5Z1q0Sd0v/iA/TccJq5HCmvRWxW2srPcMWz1++pw0c7lMAS9wuiU5PSD4QAoZEoKZIlQdzclkpN+2+cmBD8vkE1QaJ4tNI+fPyEogoIEDVrKC9wicXqk8I0auKDue3LMuvV639UacVffJ8cAbURYJWLIevwC3G10Tb/fFtPXcH0v+laXBt+socDF982iZP6bg7CSQYBQvQLWnICRLEfWOLYP9UsiFn84lsxrsYMnPVPtC5oi9YG1SuCiS3lEyB1/vDEjcd0AuTPzhXw2346AcLPgTGeFI4tNskJ7z+yCZCcGVLh9KSE0sr2c9ypGf4si0rnzgCnkZZFgNx++i9qOnoKTDZ3Bggpb03KXCdu+hlWYgSI3IxfVlk7Xp5Y3b8vMptW7tfUR47PqBYCnABRC0k+j80hoJUHNCvNlOZQfR0QsUhbOYfhxOh6KJEzvW4ILaqqTYU8WNGdToD4XLiPnzYFMZdLnzo5omYoFxovN90Vz9/QCRBSh5QmmKZvDIl8JAQIjURJljQJLs0zngA5c+MJflxJF4LfM7AGahTJKscdVt333YePKD7ZWfYe1CRA5jvHYq03nQCZ3bYMs1xLrgypETipsWzb+QCOAEfgKwKscjGkx8Y+9mhcimcE2NJ52ex/mVlCk2RgNuEEiEnc3WdTELwv0DNAVvWojFbleQaIUkc0/PMkLj8QZoD0rlEQs9vxyH+luBozTqz0jtKSqrXne+LmEzoBIlY+tVeNApjTrpwx2+Fj9RAoMvE4RPgP5EifCkGftSXFdCJpoNrlSg+XUfUsCu8bj1+hzh9eApvMTYC0X+2P8GvC8tz6BOO0o2exLeAqFU+5JTBZZe14dr76x1Ur92vqI8dnVAsBToCohSSfx+YQ0MoDuvv6QATEP5TkPxKF1KlKPl1fsYsmSZN97uQ2uh6KfyZAaC8grcrlxqqelalTep2/h36bg5nLpU2ZDOeMEBovM80FL99+oM5PolBYF91fBhDhwokHo6gkSpIkwGXHVnKgovYlQvREkJ7Wdv1SHbWKZjN6DWuZgNTtJfV75TY1RSQdnWKwzieeasKM/wuWzmDo3eh/VMm1n/fnCHAEEhBwWOyNi5R6+eQ3nhFge6dkk99lzDpG1xDj4tum83fvjafhG/eAuiAJYCGBLLwpQ4Aljt2zegHMbc8vvpWhatwoschzpSVVazl64NbT11TDxMqn8nNgnC8Tjy488Ti1HPOXftnTp0LwZwKkymw3PGToRNKsskQC5PqjV6i7wPIIEJY+qT7BOPXIWWwPpBMgcgNeWGXt9DVf1D1p2p1NK/dr2vWw5e+cEyCW7yNuoZkQ0MoDuteG0/C7SP9wTQz9nHZl0atGQd0/s+oSy3WX+5h6KJYjIQOEVoOzRdlcWNOrCnVa9+i7GLAthLnkDymSIWZ2c7km/de/1FQX/PuOToCQj5wNfvQU+C8TLO9eCRMOnsErBoly2bElkhAmxIhGUoRJqjCt7ehfHXWKa4cAefP+A0pOcZGNppoECCuNmhg1pVUpzDkeQ7VP/6NK9gb4AI4AR8Dg/0vre1dB0zK5OFI2hMAG33jmM3VtrypoXpb72xTuFiNAyHvQj5wAUewGljZE92oF4NiBEyCKgTVi4PSjZ7GVEXmuNKO4pqMHbjMIkHnty2HS4SiqxfwcGOFIytBCE46LTpgtXUqETGmi61N5thtV45E1QYmc6XBidH11DTZytisPXqLBnycFs5g7A+THlX44c+OpwC79v6/Jh6Ow8/Q1KgJyM0BZWV08O9/IA0YZrpX7NfWR4zOqhQAnQNRCks9jcwho5QFNSkiRUlJS2rTWpfFzncK6rqy0fCnz6PfxGFsfRbOn0/3THy6xWJNIP6FZmZxY19ueOq3ruTsYtD2UuaSxQuMlpzjjzfuP1PmJACVLfO3LgKVdK2LCoTN4/Y4+R/y8lkia1DgCJOTKI3RaG0C1kYjWE/F6rbTX7z7Abqp8AqRf7UKY3qaMKjDNORbNJMYmtbTDPKdY6jrZ0qVCyJSEusK8cQQ4AsoQaLToJOIpgsFkNp4RoAxTSx4lRoBw8W3TeU4skGZZt4poWzGv6YyxsZVY2hDdq+WHY4fyNrZb69iOWOkdpQE1NeZ54M4zegYIKXVGot1prVvV/JjfkZ8DNU7Op0+fUHiik+hUWdOmROjUBAKk0qwTePzqneSli+dIB7cxlkWAxN9/gUaLvAV7MDcB0nqFL87efCawS//vi5CCuxgEiNyAF1ZWF8/Ol3y8JXfUyv2aZEB4R5MjwAkQk0POF7QWBLTygO63OQheDPHKxL6a0MIOpPQTaay0fLn+9RxbH0U+EyALXWOxyutb/QSHUjmxoQ+dAHGOuo0hO8OYSxorNF5isjPefqCTFyTtnBV58sWgxV0qYMKhKJDSTLR2cW4LJE+WVC5k3/QPuvwIRMeF1rb0q4oGJXMYNb81Df737QeUmiafACFk1owf1SFAxMQxxzcviQUu56mQ6n9UWRPm3FaOgCUhIEbM84wAS/KUOras97nEJJW5+LY6GEuZpeeGQPhfpJdSJYEg7SpxAkQKjrQ+LG2Irvb58UcnfvGtFFdjxomV3lH6PlltrjvuPX9DNWvmj2Uw/e9z1N/4OTDGk9+O/fjxE4pMEidAsqRNibDPBEjFWSfwRAYBUjR7WniMbaCewSrMdPHeczgs9hHMZG4CpOUyX0TfFhIg+n9fEw+dwe6g61QU5L7vsUhNHpymwiFLNIVW7tfUR47PqBYCnABRC0k+j80hoJUHdP8twfCIvSfJf2OalMCIxsV1fVlRaZIm0uvk9VsDFM6WVvcvi0+cx3LPi99M0dguBzb2rUqd9p/IW/h1dzhzSZJcEW+EzkaxSU54z1DDIx8de0PoL15fDFrYqTwmHopiznFhTguQLBVjWsClh+j+VyB1CrkicMbYYQljX719j9LTXGWbovSDlbaQmDjmb01L4M8TF6j26X9Uyd4AH8AR4AjoEGiw0AtXHr6iorG2V2U0L8vFmG3pqKzzvgRHZ3pWHRffNp2nxbTklnStgPaVErTjeJOPAKs0Uucq+bCwcwX5E/IRRiMw5UgUdgTSS+8ofZ+sOtcd9xkECMm+Z2kd8XNgtDv/m+D9h48oNllcRzBTmhSImNZUN6bCzBN4+q/0DJAi2dPC08IIkAt3n6PpEssjQJov9UHsnecC5/apWRAz25bV/TspMb0nmEWAyHvfY5GaPDhNvb+vLzNp5X5NfeT4jGohwAkQtZDk89gcAlp5QP+yLQRu0Xcl+W94w2L4rVlJXV9WVJqkifQ6nfytAQp9JkCWuF3AMo+4b6ZoWDI7NverRp32aMRNjNwTIbrklfnKhcaLTDwOBv+BDpXz4lDYTdG1F3QsryuBxZojdnZzpE6RTC5k3/Q/dfEBemw4TZ1DrgicUYZYwOAXb96j7HTzEiBi4pijHUpgiTudANH/qLIAKLkJHAGrREAsM5GXRLJKl4oaTUpmktKZtMbFt03n727rAxAY/4i6IMmE7VCZEyBKvcEqjdSpSj78yQkQpbAaNU6s9I7+Ba2cReznuOPBC3oGiJh+HD8HclAW7/vuw0cUN0CAZPwhBSKnJxAg5We44tnr95INIMF+JOjPklrM7WdoscxXYJK5M0CaLfHB+btCAqR3jYIgJeFIG38gEvtCblDhlJsBytITyZwmBcI/E16W5DdrtkUr92vW7CNbt50TILbuYb4/xQho5QE9eHsoXM7dkYTTwHpFMKllKV1fsXq1kib73Ml7XAMUzJqQAbLMPU5wQUw0LIiWBa0dCruBMfsiRZczRmdDTAyPiHr+HXlLdG0iUEkyQFgtZlZz/JDSOALEL+4Bem2kEyByReDk+M0S+z5//Q7lZpyQbZrSiD3aQmK1oUn21PJEBN+XOfQ/qmRvgA/gCHAEdAjUW+CFa4/oGSA8I8D2DsnqkxeZZQW5+Lbp/N11XQBOX6YTIOSSnlzS8qYMAVZpJBKEs7hLRWWT8lFGIUDe63cH0TNAfqpZELM+R6jLWcR+jhsevHhLHSKmH8fPgRyUxfu+ef8BJaeIl9FNnzo5omY0001UboYrnssgQApmTQPvcQ3VM1iFmc7deopWy/0EM5mbAGmy2Btx914I7OpVowDmtCun+/dx+yOxP5ROgMh932P9TfPgNBUOWaIptHK/pj5yfEa1EOAEiFpI8nlsDgGtPKCH7QzD8ajbkvynf1EsVq9W0mSfO+lngKz0jBOUCKpbPBu2969OnXJfyHWMP3BGdDmlOhuGxPBalssFpyhx4khMuJAYfW5mM6RNlVwOXIK+RMCeCNnTmtwaqEYZYgGDSSo6SUmX25RG7NHWEasNTTKoVnp9W+Ltyxz6H1Vy7ef9OQIcgQQE6i7wxPVH/1LhWNmjElqXz8OhsiEEVnldxEJXuq4SF982naOJDhnRI6M1Ugq0s31+0xljYyuxMgM6VMqLxV05AWIOd4tpD+hHqMuxrfJsNzx6SSdAxPTj+DmQg7J439fvPsBuqgECJFVyRM38TIBMd8XzN9IzQApkSQOf8ZZFgETdeIo2KykESKEs2De4pnrgypyp8aKTuHT/pWBUj+oFMK99AgEydl8kDobRCRC5GaCscloZUifHmc+El8wt8O4MBLRyv8YPgOUiwAkQy/UNt8zMCGjlAU00NIiWhpTWvVp+OHZIEF0Ui1aSMteXPvoECO0yo1bRrNj1Sw3qlHuCrulExsXa+TnNkSq5/CyLDx8/oaiIGF6T0jkNlg6b3qY0Zv4TzTQvakZTpE+dQg5cgr5e5++h3+Zg6hxaK/ny9NU7VJglnwBRGrFHA52VRk36Dq5fFGu9L1F9lV7vo8qoA8EHcwQ0jIBYaUa5H8QahtFqtk4LmvhiPBffNp0bO689heArj6kLLuhUHl04AaLYGax37XYV82Bpt0qK5+UDlSMgpj3Qs3oBzP18QStnhUqzTuAxQ1B7XLOSTKKXnwM5KIv3lUKApEuVHGc/EyCk5C4pvSu15cv8A/x+byS1u0n6RV5/grar/AVrVTMzAdLoz5OIfyAkQPTvIcbsi2CWopYbAMEqp8W/zdQ/hlq5X1MfOT6jWghwAkQtJPk8NoeAVh7QI/eE42iENAJEP9VaLFpJzmHQF0Gn1fOuUSQL9gykR6HsPH0Vkw+fFV1Oqc6GoVqwRJvE6/x90bUntyyFuU4xzD6kjiwpfWRM84y9i5+3hFCnkJsCbIwdljD2yau3qDjLTbYpahIgYqURSAm59T7xVPv0P6pkb4AP4AhwBHQIiBEgvCSS7R0SUlJwsRtdV4lrT5jO353WnELIVToB8kfHcuhatYDpjLGxlVjv2qQMK3mm8WZ6BMS0B/Qj1OVYVnHWCTxhECBjmpRgPuf4OZCDsnjfV2/fo/Q0cR3BNCmTIXpWc91EZaa54OXbD5INyJvpB/hPsCwCJOzaY3RYfUqwB/uCmXFgSC3Je1O7Y4OFXrjyUFjOtKt9fvzRKSEQc/TeCBwOp2txyiVAWOW00qZMhnOf/a32HrU6n1bu17TqX2vYNydArMFL3EazIKCVB/SYvRE4xHiBSAx86/K5sbJHZd0/i72sy3GYPgGy3ucS5jl9K2gqVod0W8AVTDt6TnQ5pWWmDNWCJaW5fOMeiK79e3M7pkArGRgxrQkypUkpBy5BX/fouxiwjU6AaC3imZQPIJcFcpvSkgW0dcRKI/SvUxgb/S5TzdP/qJJrP+/PEeAIJCBQy9EDt56+psIh94OYY2r5CNB0w75YvahzBXTk2hMmcWLHNacQyiBA5ncoh27VOAGi1BGsd+02FfKAvOPxZnoExLQHulcrAKL/J7eR8q2kjCutjXIojqXucdTf+DmQizS7/8s371FmujgB8kOKZIiZnUCAlJ7mglcyCJA8GVPj1MTG6hmswkyhVx+h45oAwUyVC2TCoaG1VVhB2RQsPbcu9vmwoFMF3aSj9oTjCCOAc0nXCmhfSbr2FKuclr6/le2Ej0qMgFbu17jnLRcBToBYrm+4ZWZGQCsP6N/2R+IAQ0QssQuals6J9T/Z6/5Zrvgby536BMgG33jMOf5txoRYFMpm/8uiJabImkrLTBlKhSaZKYHx9JrXX/Y6tkkJLGJEp5I+YVObIEta4wgQ13N3MGh7KBVerV34PXzxBlXmuMt+cqhJgPx+4Az2hlyn2kA0dLacukL9jb9ky3YbH8ARECBQ09EDtxkECC+JZHsHZonbBSzzoF8Mcu0J0/m7/Wp/hF97Ql2QXAaTS2HelCHAuhhvVT43SJYvb6ZHQOy7Sb9EjxzLys9wxTOGoPaIRsWw3JOuH8fPgRyUxfs+f/0O5WaIl9FNnSIpYme30E1UaqoL/n0nPQMkd8bUCLAwAoRoNxENp8StQv5MODrMfARInT88ceOxUM+tU5V8+LNzAgEiVsFCbgYoKxg0VfKkOD8nwd+8qYOAVu7X1EGLz/I9EOAEyPdAlc9pEwho5QEtdmGb2JENSmbHln7VdP8st/Yp61DoEyAkOn72sW81M8SiUP7yiRctMUXWjJzWFBnTyC8zZSgVukrBzMyIxy97HdG4OEiJDlYLnuyA7OlTGfX34nL2NgbvCKPOobULvwcv3oAIhsptvWoUwJx28iP2aOuIRQaSUlvbAq5SzeMv2XK9xvtzBIQI1JjngTvP6BkgciMCOb6WjwApf8X6P5ZrT5jOf+1W+SPiOp0AIYK1pCwQb8oQYAUbtSyXC6t7VlE2KR9lFAJi4sv6JXrkLFJORFB7WMOiWOVF149rVS43VvXkRJgcrFl9n71+h/IGCJCUyZPiwucLcbupznj97qPkpXNmSIXTkxwk9zdFx8D4h+i2PlCwVPl8GfH38DqmMIG6BqucqX4pbjENU0KSELJEamNlk6RMlhQX5nICRCqOUvpp5X5NCha8j3kQ4ASIeXDnq1oBAlp5QItpFiR2k74gudzIF5bL9QmQLf6XMSORaHjF/JlwhBGFQhNNT7xO+NQmyKwgy4II2xGSh9VIdAwRjxNrQxsUxeqT9I8WMi5oUmPkyJDaqL8Gp6jbGLqTToBorQTIveevUW2uh2w8lYpW0hYSiwwkl0C7Tl+j2qf/USV7A3wAR4AjoEOg2lx33Hv+hoqG3IhADqnlI7DoxHmsYERGc+0J0/mPiOiy3ofmtCuLXjUKms4YG1uJFWzUomwurOnFCRBzuFusdLB+iR45tokFlQ2uXxRrvenfEvwcyEFZvC8pQUYyrsSa/oV4ySnOePNeOgGSI30qBE22LALk1MUH6LHhtGDLZfJkwPERddUDV+ZMrGze9pXyYknXirrZhu8Kw7Ezt6kzyw2AGLE7HH9HCvVQkydNgovzWsq0nncXQ0Ar92v8FFguApwAsVzfcMvMjIBWHtCTD0dhJ+NSNrEL9MtRyX3xY7nTc2x9FMmeTvczTdNDLApFrP73l/VCpjggWzr5WRaGIoHIy+G5W89ET6mY6DUZGDixMXJlNI4A+SfyFkgUDK1prQTIvWevUW2eeQmQMfsicCiMLsrXrWp+7Amml8dKkSwJ4ubyl2wzP/b58laOQNW57rjPIEC0RghbuSslmf+n63ms9KKXhuHaE5IgVKVT25V+iLzxlDrX7HZlQcpM8qYMAZbQcrMyObGud0JJWt5Mi4CY+HLnKvmw8HOJHjlWiQlqD6pXBOt84qnTNS+TC2t7cyJMDtasvk9evUXFWeI6gvoX4iWmOOOtDAKEfIuSb1JLan5xD9Bro5AAKZU7A5xHmo8AYWXztquYB0u7JWgfDdsZhuNRDAKkY3l0qZpfMtSsbJKkSYB4x1aS5+EdDSOglfs1w0jwHuZCgBMg5kKer2vxCGjlAT3t6FlmWZ7ETtInI4pPdsK7D5+M9qM+AbIj8CqmHDn7zZxl82bAsV/pL2Filx9fJgma3Bg50ssnGZ6+eocKs9iRQCVzpsf5u89F99+vdiFs9qdrPpCBpyY0Qp5MPxiF4dGImxi5J4I6xwKZL4BGGWIBg+8+e43qCggQkplBynSo0Qx9GO9n6O3wKCM10OdzaB0BUgKPlMKjNa0Rwlo4CwtcYplZlrz0kulOQJsVfoi6ySBA2pZB75qFTGeMja3EyrZuUjon/vqsyWdjW7b47YiJL+trFMjZiJig9oA6hbHB7zJ1On1tRjnr8b5CBB6/fItKs8UJkGRJk+DS54yAEpOd8faD9AyQbOlSImRKE4uC3vvCffTZFCSwyS5XeriMqmc2W1nZvD9WyIPl3RMIkKE7Q+EUdYdqo9wAiGG7wnCckU1yZT4nQNQ8CFq5X1MTMz6XughwAkRdPPlsNoSAVh7QM/4+xxRmTuxO/ReiopOc8OGjugQIKQ806XDUN8uWzp0BTowoFEenGGZU1JdJlGZZGHoRuXvzsgAAIABJREFULpI9LeLvvxQ98STqcXsgXfOBDPT7vSHyZU5j1F/NkfCbGLWXToDIfQE0yhALGHz76b+o6egp2xI1CRCxD2NSu5aVHcKjjGS7jQ/gCAgQsJ/jhgcv3lKRkVsSgcNr+Qj84RKLNYwyk3Pbl0XP6jzzwBRebL3CF2dv0jNiZ/5YBn1qcQJEqR9YOgMOpXJiQx+eAaIUV2PGiYkv62sUyFlDTE9CLJiKnwM5KIv3ffjiDaoY0BHUf1eXGwiYJW1KhE21LALE6/w99NscLACmeI50cBtTXz1wZc7ECmZpXT43VvZI0LwZvD0ULufoBIhjh3LoXk269pQYmXLZsSWSJEkicwe8OwsBrdyv8RNguQhwAsRyfcMtMzMCWnlAE9FxIj4upRXJlhaevzXQdS004biUIQb7eIytj6KfS2DtCbqGCYe+JUDEolBm/RONTf/XDRFrSrMsDL0IF8iSBtcevRJdm7x87Q6iaz6Qgb7jGyJ/FuMIkENhNzBmXyTVDq1FwN568i9qzZdPgBA/kZdlNRqrjiyZm6RuH4kQ1pglv5F368s8zVoNF/A5NIxA5dluePSSQYBoLCNOC8fA0TkG67zppWF46SXTnYBWy32ZJUFntCmNvrULm84YG1uJVWansV0ObOxb1cZ2ax3bERNf7lApLxZ/1iiQsxuxssJ9ahbE1gB6MJVDqRzY0IefAzlYs/qS7FFy8W6ofckIKDbJCe9lBAJmTpMC4dOaGprepL97xNxF/60hgjWLZk8Lj7EJ3/vmaFVmu+Eh5V2uVbncWNUzgQAZtD0ErufuUs2TGwAhRqaQjB+S+fM/9q47roqjaz8qir2LvSEiRUQUxYoiYDfGbixRY+/diL0be4mx10QTNZZoLIi9K2LFLnbsXSwoot83GHwv3Jndnb17uW3m93v/eHPPnDnzzLjszjPnPKJpg4CtnK9pg5bwYgwEBAFiDFSFT6tAwFYe0BO2XcJCRm3ZxAuZN3MaHB5cDafuvEDDuUc0WWddAmRt2F0MWncugV/nnOkR0pd+C2X4P+clMyyII7UkA6kjT+rJs1qeTKlx/1W0JAakFjCr5BHpuH9gVRTMls4gHP8Ou4uBiTCLd2hr4qP3Xr5HRVUESH5MbFjCoHWI7ywlykduLrEE+0h/kWatyRIIJzaMgNeYELx4F0NFQIhiW9/GkMoCHStKLyXZgteadRCXHtAzQEbWc0M7QYCoXgvWLXO/YjmwrF1Z1X5FR/UISL3n6Yo084wgpSchlU1ezcUBSwURxgM10/ZxVDTKjpfXEYx/V+ethJApTUqcHWleBMjOi4/Q8Xd9AqRw9nTY+9+FR03A5XTCeper7ZELc1t+1bwhcZP4aY33+7fT72EIYfi6Nr4WUqZIzjkDYc5CwFbO18QOMF8EBAFivmtjFpG9fPkSe/fujfvfmTNncPXqVbx48QIpU6ZE1qxZ4enpCX9/f7Rp0wZZsmThjjk8PBzLli3Drl27EBkZiY8fPyJv3rzw9vZG69atUbNmTW6fWnWwlQe01A3KxFjmyGCPthUKYcqOK1rBDF0CZN3JSAz4O2E2g5NDeuxipOEOXn+OKSodH+CBgX4okI0/y0JOUJuI2bFqzcePTT6ENp6mC2ITG/JySV4yDWlrT9zFoPUJSaN4f2Pqu+NHG6q9fff5O1SevJcbzh/KakeASNWRJS/urHq1JGiRZs29dKKDQCABAiXHhOAlgwCxtZKAtrA1pC5w2NrfP1Oud82ZB3D5IV0TbXhdN7SvJDJA1K4P65Z51WI5sFwQIGphNaif1HuerkgzzyBSehKkTCspEUxrggjjQVnaVu67L753/Lu6Y9BWcCSAIENqO4SPqqFdwBp4Cj7/EF1WntTzVDBbWuwf6KfBCOpceI4Owav3+pdZarrnwvzWXwmQDivCsOsSnQDhvQAhRaZcGVcT9nYp1E1E9NJDwFbO18TSmy8CggAx37UxaWSXL1/GwIEDERISEkdKyLW0adNi/Pjx6N27t6I6iZ8+fcKIESMwadIkfP7MFhCrW7culi5dihw5csiFoPnvtvKAlhIRTQxqyhTJ4m5BvPsYqwne5DYMqYcan1pKK+ekW3Yr8aD91p5hairE2+4bUBWFVJAMcnoSJJWZddM4fmy5G/+65I9aQGllw+J92VrpCbUESPMy+fFLI20yQKTqyBKxStYNI7JmNybURnKRZq32n4LoJxAA66OZQGNrJQFtYTuM23KRKQ5sa3//TLneUgTIsDqu6FDZ0ZThWfTYrENWX+cc+P0nkQFiisXtvuoUtoY/oA6tK9LME5uUngR5R1194i7VXRXnHFgh9gEP1EzbR6+j4TNBPgMkviRS4aCt+MIhhZnB3g7ho82LANke/gBdV53SP6TOkgaHfq6mCa5qnHiM2oGo6E96Xcl31MIfv2oftV9+ArsvP6a659We6rDiBHZdovu6PLYmUqcUBIiadaT1sZXzNa3wEn60R0AQINpjahUe161bhyZNmiSYS4oUKeDk5IScOXMiNjYWly5dwvPnzxPYtG/fHosWLZIlQYgdITbiG8kocXNzQ/r06UHIl2fPnn37jWSZHD58GOnSGXZTnndhbOUBPS3kCn7dE8ELjyb2A2sUQ3c/p2++Np25h96rEwp6F8qWFvsYt1Ck9BbinaolGeTKKZEX2agP+i9nusCQmyosgTZit6ufL5wcMhiE5arjtzF043mqjxF13fCTDd28vPPsHXyn8GeAaEmASNWRJbWaWS/YZAEjxteCnUizNujfg+hs2wiUGLUDrykfzQQV3prQto2kZcxeSsNMlF5KujWsMeMArjyiZ4AIAsSwdWDp7VUumh1/tPcxzLnorQqBritPYvt5uvhyPc88+PUHL26/UuWUpMrpin3ADTWzg9zFt/iO8e/qvFqY6VKlwIUxpqtsQZv41nMPQDKaErf4ktfaocvnqfjIHXhD+cYOcM2JxW2+EiA/LT+BPQwChPcChJSvS2NqIk0qQYDwrSDb2lbO17TCS/jRHgFBgGiPqVV4jCdA7OzsQLIw2rZtCz8/P2TMmPHb/L58+YLNmzeje/fuuHfvf2V+5s6di65duzJxWLhwITp37vzt9++++w6kDyl9RVpMTAwWLFiAvn37gmSKkNaiRQusWrUqSbG1lQf0jJ1XMWv3tSTDNr29XdyhfOmCWUBuLum2zWfvg5Aauo2IjR8YRE/DlfoIifehlmSQyyZInTI5omPY2UtkfLkD75C+vnDOaRgB8sex2yBaKLRmawcPt56+RdWp+7j3cjPv/JjUWJsMEClRPlKqYO+VJ8z4RJ1Z7qUTHQQCCRDwGLmDSUzz1oQW0Jo/AqP/vYBlh29RAxWll5Ju/QKn78e1x2+oAw6p7YJOvkWSLhgrGol8ZxUO2kadUSWn7FjZQRAgplhuqYsuJPN7TouvIs08TaqcUqNS+bD+VCTVnSBAeFCWtr3/8j0qKNARjH9X5yVA0qZKgYtmRoDQvrsJSrkypsaxIf7agcvpyW1EMLXahL+LA5b8p3nTblko85uK9wJg22Wh2Mf4PrswugbS2dtxzkCYsxCwlfM1sQPMFwFBgJjv2pg0sk2bNmHLli0YPnw4ChQoIBnL3bt3UbZsWTx8+PU2TPbs2XH//v04nZDE7d27dyhSpMg326pVq8bpf5DsksRtyZIl6NChQ9x/TpYsGcLCwlCqFP9LpVogbeUBPXv3NUzfeVUtTNz9pOrjbjl3Hz3+TEiASN1CkUpZjQ9sRx9fFMvFTzLIZRPYJU+GTzLFXwnBs/8q+8A7uE9luOT6H6nIDSaA34/ewohNF6hdh9Z2RUdf2yk9cfPpW/ipIECaeufD5MaeauDX6yNVR5aUrDggsR9EnVlNlkA4sWEEWLcGCSRjvy8OIiYrmvUgMGrzBSw/QidAbO0CgClXNWD6fkQwCJCgWi7oXEUQIGrW5/PnL3AcQidAKhTJhj87llPjVvQxEAGpiy51SuTGbyoIEKlySlJ6ghWdsmFVB7EPDFzSuO6RL96h0iT5LHLyrp4qRXImOcmKhVycuzy2lhahauaDVnmBOHfIYI/QoQGajcPryGX4duolw2ouDlj6HwHSZmko8xub9wLEj0tDmd9n4aOqI0Nq/TMt3jkJ+68I2Mr5mlhv80VAECDmuzYWFVnirA5CahBx9MRt3rx56NatW9x/JqTGxYsX4eLiwpxruXLlcPz48bjfmzZtijVr1iQZLrbygJ67LwKTg7UTNZdbIPIiP6NZSaoZrRZpnkypcSSIfgtF6oUlfoDtvSvDNTc/yaA2m0B3YuTD5HDE/8q5JZ70tl6V4ZaHPzZdP8sO38Tofy9S8bS1g4cbT96g2rT9cltQ73ctCRApUo7c2DwU8ZQZn6gzy710ooNAIAEC7iOC8ZahUcUriimgNX8ERm46jxVHb1MDtbULAKZcLf9p+3D9yVtqCINruaCLIEBULc+n2M9wGrqd2recY1as7lRelV/RyTAEOv0extRzq+2RC3NbfhVp5mlS2QREV4Tc1Kc1QYTxoCxtK5f5H9+bvKsTAoRFTrJGsbdLjivjzIsAoWlvkvizp0+FsGGB2oHL6cl52HZ8/KRfZaFqsRxY3u6r9pHUGQDvBYjWS47j4DX699nZkdVBNEtF0wYBWzlf0wYt4cUYCAgCxBio2qDPBw8eIE+ePN9mPmfOnLjSWIlbQEAAdu/+KjBGsj/27pW+abFs2TL89NNPcfZEH+Tp06ewt7dPEoRt5QH9V+gdBG0ITxJMySANvfJiOoMACT7/EF1WnkwQi1QabotFx3DkOptgII629KyE4nkzcc9P7WG67kBlC2dF6M2EOjm6v6uNTdfHkkM3Qeqg09rPNV3Qtart3LwkN1DJTVTeRuorT2miTQaIlCgfObA4doO9H0SdWd6VE/YCgYQIsMomECteUUyBrfkjMGLTefzOIEBE6aWkW79qU/fhxlM6AWJr7yFaoh4T+xlFGQSIT+GsWNNZECBa4q3UV4cVYdh16RHVvFbxXJjXio8AkSp1RgYhWSVEq4HWBBGmdNXk7ZQSIORdPZVdchDdFp5GSJOr482LAFl3MhID/j6rN42s6VLh1HDTESBFh25DTKy+wjzJpP/9p68EiBRpwfv3v9Xi48wLamdGBCJz2lSKlvrVuxgM3nAOx28+h0uuDJjY0AMFsyWthq2iQE1oZCvnayaEWAwtg4AgQMQW0QSBDx8+IHXq1N98TZgwAUFBQQl8v3nzBlmzZo3T+CDtl19+wc8//yw5PimrlTt37m82O3bsQPXq1TWJWc6JrTygg88/QJeV+gJocvio/b1hqbyY3pSeARJy4SE6/ZGQAMmRwR4nGGm4TeYfwYlbLyRD+bdHJXjk4ydA1B6m6wZDdE5O3mbHpzY23TEWH7yBcVsvUTFILDKvds0spV/E4ygETD/AHa6WBIhUTdqyhbIi9BabALk4pgbSphJ1ZrkXUHQQCPyHgOvwYLyPiaXiwSuKKUA1fwSG/ROOlcfuUAMVmQdJt36k9CQpQUlrtvYeoiXqHz7FotiwYKpL8j6xtosgQLTEW6kvqUzfmu65ML81HwEiVeqMxESySraF00XXBRGmdNXk7W4/e4sqU+R1BMm7OiEzWNlZrJFSpkiGa+NryweShBZrT9zFoPXn9EYkGQ8k88FUjZBLsZQy07qaN1KkBW8FBKkLlYQIIoSQkpa4DLJj9nTY3b9KXNUT0b4iYCvna2K9zRcBQYCY79pYVGRXr15FsWLFvsW8ePFitG/fPsEcQkND4ePzP8G+/fv3w9fXV3aehQsXxq1bX2s8T548GQMHDpTto4WBrTygj914huYLj2kBmSIfjUvnw1TGbfvdlx6h/YqwBH6k0nDr/3YYZ+++lBz3n+4VUTJ/ZkWx6RpdexSFwBn8h+m6PjzzZcLZyFfMsTd1rwhPFbHpOlx44DombLtMHaN/oDN6+hflnruldlC7ZlJ7khcLqZq0coSYENrjRVvYCwQSIlBs2HZ8oJRNIFYj67mhXcXCAjIrQmDoxnCsOk4nQETmQdItdNUpe3Hr2TvqgIIAUb8O0TGxcBlOJ0DKFMqCv7tUUO9c9ORGgGRqkINMqUzfGu45saC1N5dvctArlU1AfO64QM84EUQYF9SSxkpLH5N3dZIBwsrOYg2SInkyXJ9gXgTI6tA7GEypApEhtR3CR9XQDlxOTyxNHFJKeGWHr2dJUqQF79//5guPMjP0w4YFIHt6+eojpGQXKd2VuGlx2ZETPrM2t5XzNbNeBBsPThAgNr4BtJo+yebQzfg4f/483N3dE7hfsWIF2rZt++2/RUZGIm/evLIh6JbNateuHZYuXSrbRwsDW3lAX30UheoGHvTz4C11237v5cdot/xEAndSabh1Zh/EhfuvJYff0K0CShXIwhNinO2Vh1GoMdMwAsQtd0ZcfMCOb2O3CvBSEZvuZObtu45JwXQCpG+AM3oH2A4BonbNGpXKh2lNtSmBJVWTlhBxZyQIOyG0x/3PVHQQCCRAgFU3mhiNqOuGnyoJAsSatgwp30nKeNKaOHhPupWuMmUvbjMIkAHVndGjmu28h2iJ+vuPsXAdQSdAyIWK9V0FAaIl3ixf4ZGvMGRjOEhp3CrFcuBp1EdmNm+gW04s+pGPAJHSeiExBbjmZJbc8i6YBevEPtBkGygtfUze1e3tUlAPu6UCSZ4MuDGxjiaxauVk1fHbGLrxvJ67dKlS4MKYmloNw+VHqiScrubNDwuP4egNehnsQTWLoVtVJ8XjNl1wlFmyOnSoPxwy/K/KCcvpmw+fUHzkDr2fpzf1RMNS+RTHYu2GtnK+Zu3raMnzEwSIJa+emcT+6tWrOCFzUq6KtBIlSuDsWf16kmPGjMHIkSPjbOzs7EDKZiVPnlx2FkQDhGiBkObn54c9e/bI9tHCwFYe0I+jolF2/FddlqRoUoLT+648RttlCQkQqTTc6jP24+qjN5Jhr+tSHt6FsnJP7dKD16g16yB3P90OzjnTS8ZHPl7JR6wh7be9EZiygy5i39u/KPoGOhvi3qL6Xn74GjVn8q+ZlgSIVE1aj7yZEH6PnRF0blR1ZEwthPYsatOJYM0KAeeh2/ExVl84kwTJK4ppVhMTwVARCNpwDn+F3qX+JgiQpNs0lSfvwd3n76kD9gt0Ri8bykTVEvW3Hz7BnXKgRsbwKpAZG7tV1HI44YuCALnV7TNhF168+1q+Wa4RsmJxGz4CRErrhYxXzcUBey4/pg4tiDC5FVH++/Unb+A/TV5HkLyrE0FzVnk6qRFv/WJeBMgfx25j+D/6BEialClwaaxpCBCpknC6mjfNFhyN09qgNd6//03nH2WSmseH+CNnRnkCJCo6Bh6jQvTCEQRIQkhs5XxN+ZNHWCY1AoIASWrErXC8Dh06YMmSJd9mtnnzZtSrV09vpgMGDMC0adPi/nuWLFnw/Dm7Fr5u5z59+mDWrFlx/8nb2xsnTiQ8IOeBdPr06SD/U9KIsPvnz5/jslRItoq1NlbKprHm28w7PyY1LkF1f/DaE7ReEprgN6k0XKm60/FO1nYuDyJGztsu3H+FOrMP8XZLYE9qf7KEQYmhWnJGd5A5e65hashVapy9qjmhX/X/laYzaDIW0FktaSWlS8M77ZaLj+FwBP1GklxG0NkR1ZEprSBAeDEX9gKBeARYwpnkd0GAWN8++XndOawJoxMgtlYC0pSrW2nSHkS+oBMgtpaJquU6sA7UyBgko5SUeBXNuAgEn3+ILisTahNKjRjg6oDFbcpwBSWl9UIcVXHOgf1Xn1B9CiKMC2pJY6U6gkQbgxAgrPJ0UoPcnFjbrPQgVhy5hZGbL+iFTEp8XR1nGsF2qYwo8j1PvutJk8ra4M08bDzvCMIYmp1Hg6ohd6Y0shuNCKB7jtEnQGY080QDL5EBEg+gIEBkt5IwMDICggAxMsDW7p6Uo9LV+mjWrBlWr15NnXbXrl0xf/78uN+IsPn9+/cVwUNKa5ESW6S5urri4sWLivrRjEaNGoXRo0dz9bd2AoSA4TFyB6I+fOLCRa1x8zL58UsjOgFyOOIpWi4+nsC1VBpuxV/24N5L+kd3vJO/OpZD+SLZuMM9f+8V6v5qGAGSP2sa5q1IEpBackZ3MrN2XcOMXXQCpIefEwbUsB0CRC1ppSUBIlWT1iVXBlx+GMXci2dGBCJzWmVCe9wbWnQQCNgAAk5DtuETRTiTTH1obVd09HW0ARRsZ4qD1p3F2jD6BRWReZB0+0DqXaxPQFH0CbCdTFQtUX8dHYMSlBvFZAyiMbepRyUthxO+KAhMDr6MufuuK8bG38UBS9ryESBSWi9kYCL8fPDaU2oMgghTvDSyhkp1BMm7OimBxSpPJzXQjQm1kZzUwjKTtuzwTYz+V/9cxZSC7VIXM3U1b5rMP4ITt15QkeT9+99w7mGcukPXFD08uBryZpYnQJ69+YDS43bpxSMIkISQCALETP7x23AYggCx4cU3dOoHDx5EYGBgXCkr0ohY+enTp5EpUyaqa91Mkfz58+POHXrd5sSdhw8fjnHjxsX95yJFiiAiIkJ16CIDhA6dVPkC1WAzOv5QNj8mNqQTIEeuP0WLRQkJEKk0XJKW/uj11/3Han928EEFp+zc0zgX+RLfzTnM3U+3Q+5MqfHgVTTTx+pO5VDOkZ+c0XU4Y+dVzNp9jTpG16pFQITgbKWpJa0aeuXF9GYlNYFJSkivqEN6XHvMLtl2anggiOaNaAIBgYA6BByDtoLBf2BIbRd08i2izrHoZZYIDPj7LNadpBMg4uA96ZZMigAh5a/IYZRo/AiwbhQTT6Sk5r89BQHCjypfD14CxK9YDixrV5ZrEDkCpKJTNmZmsSDCuKCWNFaqiXl6eCDsUyaH2wh9vQe5aCLG14JdCvny33J+tPp98cEbGLf1kp47U+qVSP170NW8kcra4P37//1vh5kajQcH+SF/1rSykLNKis9sVhLfe8lr3soOYCUGggCxkoW04GkIAsSCF8+UoRONjypVqoDof5Dm4OAAQog4O7M/cnr16oVff/01zj5Hjhx4/JhezzTxvAYOHIipU6fG/WeWvogxsLClB/R3cw7hXCRbm0BLfH8oWwATG3pQXR6/8QzNFh5L8BtJM77CSMMtNXYnnr/9KBneH+3LonLRHNxTIGLV5IXIkJYjgz2eRLEJmj87+qBCEX5yRjem6SFXMHsPnRTsXMURQbVcDZmCRfVVS4A08MqLGRoRIFIp2Y450uHGk7dMTE8OC0C29PYWhbkIViBgTggUDtqKL1/oEQXVckHnKoIAMaf1MjSW/mvPYv0pOgFiaxpYhmJpSP/yE3czL3vYWilOQ3BM3PfF24/wGruT6rJ43ozY0rOylsMJXxQEeAmQqsVyYDknASIldk9CIroHx27Qy0aXyJcJm0UmkCZ7V6mOIHlXT50yBVOfRyqYa+NrIaUZESCLDtzA+G36BAiZg6n0SqT+PZQqkBkb/tM+ksra4P37X3/OIZxlnIMcGOiHAtnkCZAHr96j/ER9nVpBgCT8F2FL52uaPJiEE80REASI5pBav8MrV67A19f3G4FB9Dz27t0LT09PyckPGTIEEydOjLNJnz49oqLYpWB0HXXv3h1z586N+08VKlTA4cOGHUorXSFbekC3WRrKrC+rFC+ldi19CmB8AzoBcuLWczSZfzSBK6k0XCWlu1b8VDaufi5vO3XnBRrOPcLbLYF9lrQpJYUTV3XwQUUV2Sm6g0zZcRm/7aWn53fydcSQ2rZDgKjN2tGUAJEQ0iuYLS1uP3vH3FMnhgaAkGaiCQQEAuoQKDR4K7MjyYYjWXGiWQ8C/dacwYbT96gTEgfvSbfO5SbsxsPX9GzXntWc0N+GtMi0RJ1c8CEXfWiNaIpt6y0IEC3xpvniJUDI9wb57uBpUmL3xA8p+xN6i06ACCKMB2lpW6U6gmH/ESDFR/JngFwZVzOufJa5tPn7r+OX7Zep4ZhKr0Tq34NuybcGcw/jNKNsFe/ff6mLoPsGVEWh7OlklyzyxTtUmrRXz04QIAkhsaXzNdlNIwxMgoAgQEwCu+UOevPmzTjyI14UnBAZu3btgo+Pj+ykSPmp/v37f7MjBAjpL9caNWqEDRs2xJkRcXUisp4UzZYe0H1Wn8Y/Z5RpshiKfatyBTDuezoBcvL2czSal5AASZE8Ga5PqE0dttiw7fjw6bNkSMvaloGfiwN32LRYeJ1ksLeT1FZRm52iG8ek4MuYx6hP3KFSYQyr68YbtsXan737EvVVZO18XzIPZjb30mTeUinZ+bKkYQrFksFDh/rDIUNqTeIQTgQCtobAly9fUDhoG3Pag2oWQ7eqTrYGi1XPt++aM9jIIEDEwXvSLb1UOdLufkUwsIbtlOLUEvWnbz7Am1JTnoxBNMWC+/hqOZzwRUFA6pIRDTBf5xz4nZMAefPhE6QO00nZH5ZAsyDCtNu2SnUEyWWl1CmTw4OhzyMV0eWxNeOyR8ylzd0XgcnBV6jhmKpcV1R0DBNbz/yZsal7xbh4pcpW8f79r/vrQZy/95qKw57+VeCYQ/686vazt6gyZZ+eD0GAJITEls7XzOXfuYgjIQKCABE7QjEChPQg5AchQUhLkyYNtm/fHlcKS0nbunUr6tat+830woULcHOTP5wtW7YsTpw4EdePlMOaPHmykuEMtrGlB/SozRew/MgtgzFT4qB1uYIY+31xqunpOy/QIFHWRbJkwM2Jdaj2RYZsQyyr4Pt/PZa08Ya/a04loSWwoWWj8DohL8jRMWyCRm12im4cE7dfwoL9N6ih/VSxMEbUk/83xjsvc7Wn7R8lsdYvmQezNCJApFKy5TRhQof4wyGjIECUrJmwEQgkRuDz5y9wHMImQAbWKIbufoIAsaad03v1aWxiXN7o4eeEATWKWdN0zXYuZcbvYpb77Fa1CAbZkBanVlCrAAAgAElEQVSZlovEqilPxhAEiJZIs33xEiBEsPyP9vKXAnVHlDrwJXZeBTIzb7q75s6I7SITSJPNoLSMLnlXT50qBUqoIEAujamJNKnMhwCZs+capoZcpeJ3dVwtpLJLer2SV+9j4Dk6hBqTbsk3qbJVvMR77VkHcfEBnQDZ3b8KiiggQG48eYNq0/brxT2reUnULyk0QOKBsaXzNU0eTMKJ5ggIAkRzSK3T4aNHj+KIDlL+ijR7e/u4TIzq1asrnvCNGzfiRMzj26pVq9CiRQvJ/jExMXGi6u/fv4+zW7p0Kdq1a6d4TEMMbekBPXv3NUzfSX8BMgRDWt8fyxfEmPp0AoR1g5+WhkuID0KAyLWFrUujunsuOTO932l6JLxO7JInwycJgmZZuzLwK8afnaIbx4Rtl7DwAJ0AaVuhEEZ9584btsXaqy1bpiUBIpWSnTOjPR69ZmvCHAvyR65MggCx2A0oAjcpAnJ/EwQBYtLlMcrgvf46jc1n6dmr4uDdKJBTnZIsBZKtQGuk7BwpPycaPwKPX0ej7ITd1I7OOdMjpK+yC2j8I4se8QjwEiCVnLJjZQc+AuR1dIzkYToROmfpEwgiTLu9qpQAOU4IkJQpmIf0UhFdHFMDaVPZaRe0gZ6kvv9Nla3y8t1HlBwjr30kVbaK9+9OzZkHcPkhvTT7rn6+cHLIIIv0tUdRCJxxQM9OECAJIbGl8zXZTSMMTIKAIEBMArtlDfr8+XNUrVoV4eHhcYGnTJkS69atw3fffcc9kfz5838rn9W1a9dv2h4sR8eOHUP58uW//RwREZGAROEOgKODLT2g/zh6C8M3XeBAR71pm/IFMZpBgLBePkkJLFIKS7dFx8TCZXiwbCDzW5VGzeL/I0BIjdfwe69AhNSkXmiOXn+GHxYlFGSXHYzTYGlbb1Rz4c9O0R1m7JaLWHLoa1ZW4iZFNnGGahHmJ2+/QKN5/Lot33nmwewftCmBRUpwESKP1rKnt2ceEhH7o0HVkDtTGovAWgQpEDA3BD7FfobT0O3MsAZUd0aPakXNLWwRjwEI9PjzFLace0D1wHsAYkAYNt/Ve9xOPH3zkYpDlypFMLiWIEDUbJKHr6JRbiKdAHFySI9d/QQBogZXnj68BEhFp2xY1aEczxCQuvFOHBGdD1Z5nmI5M2BHX1EKjQtwhrFSHUFyWSkNIUDG0LMUpGI5P7oG0tubDwEyY+dVzNp9jRqyqcgapdpHUmWreP/u1JhxAFce0QmQkL6+cM4pT4BcfvgaNWce1MNSECAJIbGl8zUtnkvCh/YICAJEe0ytyuPr16/h7++PsLCwuHmlSJECf/31F5o0aaJqnrqC5tmzZ8e9e/eQKlUqpq+ePXtizpw5cb+7u7vj/PnzqsZV08mWHtD/nr2Pnn+dVgMTdx+prARW/dVr42shZYqEabhyKePxgc1rWQq1PHLH/V9CFBDCgDRSWmtKY080Lp2POocjEU/RYvFx7vnxdFj0ozcC3QwjQEb/ewHLDtPLl0nprfDEaSm2Ybeeo/H8hBoySmLXkgCRupGUJW1KvHgXwwzp8OBqyJtZECBK1kzYCAQSIxAT+xlFJQiQfoHO6OUvCBBr2jnd/zyFrQwCpHMVRwTVcrWm6ZrtXEqP3Ylnb+kESGdfRwTVFuugZvHuv3yPCr/soXYtkiMddvevqsat6MOBAK8IeoUi2fBnRz4CROrGOwmV6HywyvMUdUiPnYII41hRtqlSHcEjg6shbaoUzCwFqWDCR1VHhtQpNYlXCyfTQ65g9p4IqitTxSqlfaRb8q3O7IO4cJ9etor37071Gftx9dEbKg7BfSrDJVdGWbhZlzgFAZIQOls6X5PdNMLAJAgIAsQksFvGoO/evUONGjVw6NChuICTJ0+O5cuXo3Xr1qonQLQ8iKZHfJs9ezYIyUFrRHOEaIQQsXTSpkyZggEDBqgem7ejLT2gD0c8RUsjH/bH49+uYiGMrEcvy0SyM2rN0r89QUvDffH2I7zG0lNkddd6Tgsv1C2RB+RmD7md/+XL/34lJYmODvZH8kTZJcTi0LWnaLXEuATIgtalUUNFeS7d+Unpt7TwKYAJDeiC87z/HizBXq1uSz3PPPhVowyQer8eissworWMqe3wOvoTE8pDP/shX5a0lgC1iFEgYHYIfPz0Gc7D2BkgfQOc0TtAECBmt3AGBNR91SlsDadngPAegBgQhs139RoTwiT3O/k6YoggQFTtkXsv36MigwBxzJ4OewYIAkQVsBydeAmQco5ZsbrT/yoXKBlK7nuGlLlilecRRJgShJXZKNURJJeV0qZMoegbNPHIZ0dWR6Y05kOASGU4mSpWpdpH5LyAnBvQGu/fnYDp+xHxmE6AbOtVGW555AkQVgYRqTBALtqJ9hUBWzpfE2tunggIAsQ818XkUX348CFOsHzXrl1xsSRLlgyLFi1C+/btDY6tfv36cfohpKVPnx7BwcGoWLFiAr8k84SMf/Dg18Pw3Llz4/r163HC60nVbOkBzcq8MAbWUsLcVx9FoTqlfiZNNE6qNrJu3OTFo3bxXKg8eS8evIrWm9KJoQHIkcFe778fuPoEPy4NNQYE33zOb1UKNYt/zU5R24b/cx5/HLtN7f5D2fyY2LCEWtcW1y/05nM0XcCfAVK3RG7MaVFKk/lK3UhKlyoF3n6MZY5zcJAf8mcVBIgmCyGc2BwCcmUR+wQURZ8AZ5vDxZon3HXlSWw//5A6xY6VC2NoHTdrnr7ZzK3kmBC8ZGQ3inVQv0x3n7+Le3eltULZ0mLfQD/1zkVPRQjwEiA+hbNiTWc+AkSq5A8JkmR5XGMczjrmSIc9IhNI0VrKGSnVESTv6uns7VBKwSW8xGOeHVEdmdKaDwEyKfgy5u27ToXm9PBAZEnHrtIhh6fa3x+9joaPAu0jKd2ODpUKY1hd5X//q03bhxtP3lJD3tKzEornzSQ7Hdb+ERkgCaGzpfM12U0jDEyCgCBATAK7+Q86efJk/Pzzz98CzZIlS4LMDbkZBAYGon///lSzW7duxfl68uRJ3O9EUJ0QK0RQnRAi586dw6+//oqbN7/qGpDMk3/++Qf16tWTG1bT323pAS2VZq8pqADaVyqM4YyXkojHUQiYri8gdmF0jbiXTd0W+eIdKk2ifxjq2s1sVhIkvXzUv19LXyVurEPnfVceo+2yE1pPP4G/uS1LofZ/5bnUDjR0YzhWHb9D7d7MOz8mNbYdAuTYjWdovpBft0VLAkTqRlLqlMkRHfOZudQHBvqhQDZBgKj9tyD62TYCcgRIb/+i6BsoCBBr2iVd/jiJ4At0AoT3AMSacEnquXiODonTMaA1qXe+pI7T0sa78+wdfKfQ33MLZkuL/YIAMfqS8hIgZQtnxVpOAuTZmw8oPe7rhUNaIyQH63C2cPZ02CsygTTZBydvP0ejefKXqMh3IymBJbVmrIBMRSqw4pm47RIWHLhB/fnksABkS69/QVATsCWcPHj1HuUn0kv/6WofSel28P7d8Zu6Dzef0gmQf3tUgkc+eQKEVYZ5elNPNCxFL7dtbCzN0b8tna+ZI/4iJkAQIGIXUBEYNWoURo8erRqdNm3axJXLYrUjR47EERpEYF2qEc2RWbNmgWiHJHWzpQf0+4+xcB0hLyiuxRpIHUpcf/IG/tP26w1zblR1ZExUM/XW07eoOnWfbEjTmnjit70RuMF4sWGJm+29/BjtlhuXAIkvzyU7CQmDoA3h+CuUToA0KZ0PU5p4GuLeovqqFa6vUyI3ftMoA0TqRlKqFMnxMZZNgOwbUBWFsqezKMxFsAIBc0FA7u9Yr2pO6Fe9mLmEK+LQAIFOv4ch5OIjqiepbFMNhhYudBDwGLUDUYzyjmId1G+V28/eosoU+ntu/qxpcHBQNfXORU9FCHATIIWyYm0XvgyQJ1EfUGY8mwAhJAfrcFZkAilaRkVGSnUEyWWltPYp4C1BWrEGPDU8EFlNkFXBimf81otYdPDrhdPELXSoPxwypFaEnZZGkqX/dDKepHQ7pMpt02KtMmUvbj97R53Gpu4V4Zk/s+wUWZfwpjQugSbe+WX724qBLZ2v2cqaWto8BQFiaSuWRPEamwAh0yAC6L1798amTZvw6ZN+XXySJTJz5kyUL8/3IqkVRLb2gC40eKtW0En6kSqHwCI1aCnD1x5FIZBSLivx4GPqu2PEpgvMmFgvNrsvPUL7FWFGxUSLuqA/rzuHNWF3qXE2LJUX05uWNOoczMn5ketP0WIRv26LlgSI1I2kFMmTIfazjghNIvDILT7yoSuaQEAgwI/Au4+f4DZiB7Njz2pO6C8IEH5gzbhHx9/DsJNBgPAegJjxNM0+NI+ROxD1ga5vJdZB/fKRQ29yM5nW8mZOA6JFIJpxEeAlQLwLZsG6rhW4gpLSPCCOCmRNizvP6Yez5LcDg0QpNC7AGcZKdQTJZSVSlUCKtGLFEzYsANlNkFXBimfslotYcohOgBwf4o+cGZOeAJEq/aerfSSl29G2QiGM+o6uN0rDwnfyXua/sY3dKsCrQBbZLXYk4ilaUPRUJzXyQLMyBWT724qBrZ2v2cq6WtI8BQFiSatlpbGSUlgHDhwAET3/+PEj8uTJgzJlysDZ2bSlKmztAZ1UBIiUMBkr3Z+WMqxUt2RAdWdMDbnK/NezulM5lHPMpvc7OVQhhyvGbFrUBR3491n8fTKSGmYDr7yY0cx2CJDDEU/RkvLyKbeGdTxy47eW2miABE7fz6zVLBfHnv5V4JgjvZyZ+F0gIBCgIPD2wye4j2QTID38nDCghsgAsabN02HFCey69Jg6Jd4DEGvCJannUnzkDrxhECBiHdSvBisrmngUBIh6XHl68hIgpQtmwXpeAuR1NMoyNA9IrPmypEHki/fUsEUmEM9qStsev/EMzRSU0SWXldLZp0DZ8bu5BzdVVgUr0FGbL2D5kVvUn48MroY8mZNOezU+CKnSf7oZT/7T9uE6Q7ejTfmCGF2/uOL1qTRpD/PfGPn3TP5dyzWWduj4BsXR0qegXHeb+d3WztdsZmEtaKKCALGgxRKhJi0CtvaATioCpLOvI4Jqu1IXk3Xrg3Zj5szdl/j+t8Oym4JknLDSe0nnZe3KwK+Yg56fHRceovMfJ2X9G2Iwo5knGngZVhe0/9qzWH+KToDUL5kHs5p7GRKiRfU9dO0pWi3hzwCp7ZELc1uW1mSuUjeS5AbY1a8KSH1b0QQCAgF+BKKiY+AxKoTZsbtfEQys4cLvWPQwWwTaLz+B3ZfpBAjvAYjZTtICAnMfEYy3H2OpkYp1UL+AEY/fgLxT0FruTKlxNMhfvXPRUxECvARIqQKZsaFbRUW+442kRJ+JTZ5MqXH/VTTVpyDCuKCWNFaqI0guK6W3t5MkrVgDhQ7xh4MJsipY8YzcdB4rjt6m/nzoZz/ky5L0uoRSJa51M56khMtblyuIsd8rJ0Aq/rIHpPQWra3rUh7ehbLKbrS9Vx6jHUU7dGx9d7QuX0i2v60Y2Nr5mq2sqyXNUxAglrRaItYkRcDWHtBJRYB0qVIEg2vRD6FYYuwDaxQDuUWoK4SutFYrEQJnlYgiG2pey1KoRREi3x7+AF1XnTLqniP6JI1KG0aA9FtzBhtO36PGWc8zD379wXYIkIPXnqD1klDuNdOSAJF6IZcLbFc/Xzg5ZJAzE78LBAQCFAReR8eghAQB0q1qEQyqKQgQa9o87ZaFYu+VJ9Qp8R6AWBMuST0X1+HBeB9DJ0B+LF8QYzhu4iZ17OY8nlSp11wZU+PYEEGAGHv9eAkQrwKZsZGTAHn4KhrlJrKzCXJmtMej1x+oUyXkyBFBhGmyDZSW0SWXlTKktoOPRNYOK6BjQf7IlSnpy0qx4hn2TzhWHqPrSBKtkwLZkp4AufHkDapR9EDJHEg21KGfv5b+kxIub1WuAMZ976F4X5SfuBsPGCTj2s7lUbawPAGy6+IjdKBUjhhVzw1tKxZWHIu1G9ra+Zq1r6clzk8QIJa4aiLmJEHA1h7QSUWAdK1aBD8zDqGkPgLKOWbF7z/5IJVd8rj1V/qiWtM9F4IvPGTuGRYJsfXcA3T/07gEiBbCaL1Xn8amM/ep89NS2yJJ/tEZOMj+q0/QZik/AVKreC7Ma6VNBojUC7nc9EL6+sI5pyBA5HASvwsEaAi8eh8Dz9HsDBAp8l0gapkItF0Win0MAoT3AMQyETCPqF2Gb0d0zGdqMGId1K/RlYdRqDHzANWBQwZ7hA4NUO9c9FSEAC8BQsSSibYgT2Nd/or3QTQjnr6hEyAiE4gHaWlbloZD4l7kslJ6+5SSpBVrpKNB1ZA7U9KXlWLFM2RjOP48TidAiNZJIRPoEkplvulmPFWdshe3GMLlLXwKYEID5QSIz4RdTJKRVSo7MaasyhHD67qhfSVBgMTjZWvna9o9oYQnrRAQBIhWSAo/VoeArT2ggzacw1+hdDFtLRdX6hbuY5k6uBMbeuCHsl+FxJQedpd3zIajN54xpzDu++JoVU6/Nue/Z++j51+ntZy6nq/JjUqgaZn8Bo1BYiSx0pqWmQ0GBZlEnfddeYy2lPRjueG1JECkXsjl4tjRxxfFcgkCRA4n8btAgIbAq3cx8BzDJkA6V3FEUC16+UWBqGUi8OPSUJC627TGewBimQiYR9TFhm3Hh090AqSlTwGM5ziIMo8ZmUcUlx++Rs2ZB6nBkENxUh5WNOMiwE2A5MuETT0qcQVFSu+QEjysli1dKjx7+5H6M8kOOT5E7AMuwBnGSnUEyWUlkgFSfiJ7zVjxHB5cLU6/x1za4PXnsPoE/dt/d/8qKGICXUKpzDfdjCcp4fIfyubHxIYlFMNcdvwuPI6ik4x/dvRBhSLZZX1tC3+AbpTKEUNru6Kjr6Nsf1sxsLXzNVtZV0uapyBALGm1RKxJioCtPaAjHkeh+owD+PzlK8wpkifDd555sJFRXkntYkjVYSc3nLzH7ZJ0HTG+FuxSJAcr1TRxZ7fcGXHxwWumz2F1XNGhsv6LyaYz99B79Rm101TU75eGHmj+H6GjqAPFiGSpkGwVWqvhnhMLWnurdW1x/Vj1V+UmQrKE5rfWJgNE6oVcLo7tvSvDNXdGOTPxu0BAIEBB4OW7jyg5ZicTGyn9KQGoZSLQeslxHLz2lBo8uSxBLk2IZnwEnIdux8dYOgEiiCj1+F+8/xq1Z7MIkFQIGxao3rnoqQgBXgKkRL5M2MxJgES+eIdKk/Yy48mcNiVevouh/i4ygRQtoyIjpWV0yWUlQoBUkCCtWAOaSleDFc+gdWexNoyuI2mqsrxSmW+6pf8qT96Du8/puh3Ny+THL42UEyDk7IGVZbWqgw8qOskTIKyLk6TsN8lAFu0rArZ2vibW3fwQEASI+a2JiMhMELDFB/TpOy/w297rSJYM6FLFEefvvcbIzRc0XZEefk4YUKMY1efztx9Raiz7AIt0mtW8JOqXzIvg8w/QZaV8iSpSLzTyBf0FifjrH+iMnv5F9eL55/Q99FljXAKEpOeSwwFDWteVJ7H9PL3EV6BbTiz60XYIkD2XH+Gn5WHccGpJFFWatEdyv0kFt61XZbjlEQQI9wKKDgIBAHJ/Pzr5OmJIbZEBYk2bpdXi4zgUwSJA+G6AWhMuST2XokO3ISb2v9sziQYXRJT61Th/7xXq/nqI6iBrulQ4NVwQIOrRVdaTlwDxyJsJ//bkywC5+/wdKk9mEyDksD0q+hM1YJEJpGwdlViRbEKSVSjXgvtURobUKSWzdlg+Dg7yQ/6sSa+rwYqn/9qzWH+KToCYKiv90oPXqDWLTvzqEn5SwuVNvfNhcmNPuaX89nvpsTuZWVYr2/ugUlF5AoR1bkB0TLv7OSmOxdoNbfF8zdrX1NLmJwgQS1sxEW+SISAe0MBfoXcQtCGciTn5sK3olA09/lReKqpnNSf0r04nQORu8JJAiuXMAHJTfkv4A/RSUKJK6sOB+GNpkmw4FYl+a88adb+xym/xDNr5jzDsuPCI2iXA1QGL25ThcWfRtrsvPUL7FaYlQKReyOXA3dKzEornzSRnJn4XCAgEKAg8e/MBpSUyCDtWLoyhddwEdlaEQMvFx3A4gl7ispl3fkxqrPwGqBXBkuRTcRqyDZ/i04cTjc57EzfJgzfjAaUIEJIVcGZEdTOO3jpC4yVA3PNkxNZelbkmf+fZO/hOYRMg6VKlwNuPsVSf2dOLTCAusCWMlZbRJZeVMqaxk8zaYQ1jKmFxVjz91pzBBkalB1NlpV+4/wp1ZtOJ3xwZ7HHiP+0jqe+tJqXzYUoT5QSI15gQvGBkWf3+U1n4OueQ3WbrT0ai/9/65wasi5ayDq3UQJyvWenCWtC0BAFiQYslQk1aBMQDGmD9MY9fidk/eMWVyeIRUO9VzQn9GATI6+gYlBjFruEeP+7iH71BBG9pLxq8u6RthUIY9Z27Xrd1JyMxgPIiw+tfyn5sfXe0Ll/IIJcdfw/Dzot0AqSaiwOWtrUdAkRpWbTEgFd3y4mFGmXKVJi4G/dfRataU0GAqIJNdBIIxCEgV0KRiFASMUrRrAeBHxYeY2p88d4AtR5Ukn4mRYZsQyyDABFElPr1OBf5Et/NOUx1kClNSpwdKQgQ9egq6zkp+DLm7buuzBgAKbu7rTcfAXL72VtUmbKPOUbqlMkRHUMvMScygRQvjayh0jK6W3tVQsbUKSWzdliDmUpYnBVP79WnsekMXUfSVN8kUsSvLuFXfuJuPGB8bzUqlQ/TmionQDxHh8SdK9Da8nZlULWYg+z+WXviLgatP6dn1yegKPoEOMv2txUDcb5mKyttvvMUBIj5ro2IzMQIiAc04sS1pYTAl7UtAz8XBy4CpLd/UfQNpL8IvPnwCcVH7pBd+ZL5M4PcKhwskZ0i6+Q/A9btxLVhdzFonf6LjFK/SuxGf+eONv9PwBjSOqw4gV2XHlNdVC2WA8vblTXEvUX1DbnwEJ3+OMkds5YESLkJu/HwtToC5N8eleCRT2SAcC+g6CAQAPAk6gPKjGdrSP1UsTBG1BMEiDVtluYLj+LYjefUKTUunQ9TOW6AWhMuST2XwkFb8YVeAQuCiFK/GmfuvsT3v9EJEJLdHD6qhnrnoqciBCZuv4QF+28osiVGRMeN3JznabeevkXVqWwCJFWK5EyNHZEJxIO0tK3SMrqEGCAEpFTZMtZIewdUReHs6bQL2kBP5BuffOvTmqm+SaSIX13CT+p7q6FXXkxvVlIxOiVG7cBrRpm5+LMOOWesqhlSlS/kfFrj7+J8zRpX1bLmJAgQy1ovEW0SIiAe0MCOCw/RWeJAeW3n8ihbOCsXASJ1E+Ldx09wGyFPgJBtUMcjN7aG08W/ebZJ/ZJ5MKu5l16XNSfu4Of17PJfPGOwbEfWc0O7ioUNctVuWSj2XnlC9UFSdknqrq00uf3KwkFLrZSy43fhcdQHVZBv6l4Rnvkzq+orOgkEbB2Bx1HRKDt+NxOGdhULYWQ9/Ww/W8fNkuffdMFRhN6kEyC8N0AtGQdTxy6VBSyIKPWrQ3T5Gsw9QnWQ3t4O50cLAkQ9usp6jt96EYsO3lRmDMAlVwYE9/FVbE8Mbz59Cz8JAiRF8mTMDCuRCcQFtaSx0jK6hBgguEuVLWMNtLt/FRTJkV67oA301H3VKea3tKm+SaSIX13CT+p7q4FXXszgIEA8Ru5A1Ae6zs6SNt7wd80pi/Qfx25j+D/n9ey6VS2CQTVdZPvbioE4X7OVlTbfeQoCxHzXRkRmYgTEAxqQSwcmacDueTJxESB9A5zRO0BfdJwsd3RMLFyGByfpyrMOv+X0T7QIkpRjIWVZDGltloZi/1U6AVK5aHb80d7HEPcW1Tf4/EN0WcmfARLgmhOL22gjFk9uoJOb6GraP90rgmQ3mXP78uULLj54jetP3qJMoSzInSmNOYcrYrMhBB69jobPBDYBwip3aEMQWd1Um84/itBbdAKE9wao1YGThBOSIkAEEaV+IU7efoFG8+gECNGFuDCmpnrnoqciBMb8exFLDysnQIhO4Y6+fATIjSdvUG3afmY8yZKBmWElMoEULaMiI6VldDf3qBhHgEiVLWMNuKtfFTg5mA8B0nXlSWw//5Aa7oZuFVCqQBZF2GlpdOrOCzRkEL+6hJ/U9xbrciMrTvcRwUydnUU/eoOcFci1FUduYeTmC3pmnas4IqiWq1x3m/ldnK/ZzFKb7UQFAWK2SyMCMzUC4gENHIl4ihaLjzOX4uAgP+TPmpaLAOkX6Ixe/nQC5OOnz3Aetj1Jl55FEqw6fhtDN+rf5NAyuGF1XNGhsqNBLlsvOY6D155SfVQokg1/dixnkH9L6rw9/AG6rjrFHbKWBIj3uJ14+uYjdwykg6k+NniCnR5yBbP3RMR1sbdLjiVtyqBS0ew8LoStQMAoCDx8FY1yEwUBYhRwzdRp43lHEHb7BTU63hugZjpFsw+LkOKFg7Yx42xYKi+mN1VeisTsJ5yEAYbdeo7G849SR0yTMgUujRUEiLGXY9TmC1h+5JbiYZxzpkdI3yqK7YlhxOM3CJjOJkCknGWwt0O4yATiwptlrLSMLsmMIAfxUmXLWGPs7OuLojkzaBKvFk46/R6GEIaO5Pqu5VG6YFYthuHycfL2czSaR3/u6RJ+Ut9bRJ+U6JQqba7Dg/E+JpZqvqB1adRwzyXrasmhmxi75aKeXcfKhTG0jii/Gg+MOF+T3UrCwMgICALEyAAL95aLgHhAA1IfX6nskuPSmJogqdk8Iuj9A53Rk0GAfIr9DKehSUuAeBfMgnVdK+htVFYqq5Y7ekhtF3TyLWKQy5aLj+FwxDOqj3KOWbG6U3mD/FtS523hD9BNFQHigMVttBGLLzV2J56/VUeArO9aAaULJv1tK6Vr/OLtR5QatzPBTUSSsUIyV0QTCJgagQev3qP8xD3MMH4sXxBj6hc3dZhifDxFjWEAACAASURBVA0RILfjyS15WuO9AaphWDblioifExF0VhNElPrtcOLWczRhECDkAsKVcbXUOxc9FSEwYtN5/H70tiJbYlTUIT129uMlQKIQMP2A4jF0DUUmkCrYqJ2UltHd2K0CMqdNJVm2jBXVjj6+KJbLfAiQDivCsOvSI2q48WWutUNYmSep555u6b/SY3fiGeN7q26J3JjTopSyAQEUG7YdHz59ptrPb1UKNYvnlvW16MANjN92Sc9O6M8lhEScr8luJWFgZAQEAWJkgIV7y0VAPKABKSEyt9wZse0/oT8eAmRAdWf0qEbPAJG7SWiM3eSeJyO29tIXLPz96C2M2KSfyqplDINruaBLFcMIkB8WHsPRG3QChOizkBdYW2lbzz1A9z/VZIBoR4B4jQnBi3cxqiBf16U8vAsl/W0rpcEu//8yEKP+1b/ddOuXOkpdCDuBgNEQuP/yPSr8wiZAWpcriLHfCwLEaAtgAscN5x7GqTsvqSPz3gA1QfhWMaTcxZXvS+bBTIrOmlVM3siTOH7jGZotPEYdhVxCuioIECOvADB0YzhWHb+jeBxS3oiUOeJp1x5FIXCGOgJEZALxIC1tG3z+AbqslP+GINnamdOklCxbxhopuE9luOTKqF3QBnr6afkJ7Ln8mOpldadyKOeYzcAR+LtLPffSpkqBi/+V/pO6cFanRG78xkGAkOoTpAoFrc1tWQq1PeQJkHn7rmNS8GU9F6L8akJIxPka/78J0UNbBAQBoi2ewpsVISAe0MDlh69Rc+ZB6qrqftTyECADaxRDdz8n5k5h+SLpxiT1NfLFe013mWOOdNjTv6qeT9Zhr5aDD6pZDN2qsrFQMlazBUdxnCECSzQa/u6in92ixK8pbe4+fxd3I4mI3QW65QK58aOk/Xv2Pnr+dVqJaQIbfxcHLGmrTQaI5+gQvHqvjgD5u0t5lDFjAuTX3dcwbedVPXwFAcK95UQHIyAQ+eIdKk3ay/TcqlwBjPvewwgjC5emQuD73w6DCKbSGu8NUFPNwdLHjYn9jKISmbsiE0f9Ch+9/gw/LKITIClTJMO18bXVOxc9FSEQtOEc/gq9q8iWGLG+KaQcXH0UheoqCZDUKZPj8liRCaR4gSQMlZbRJaWhSAaIv4RuC2uYbb0qwy2P+RAgbZeFYt8Vuo7knx18UMEp6UvcSj33dAm/kmNC8JJx4ay2Ry7MbVla8bYoOnQbYmK/UO3ntPBC3RJ5ZH39tjcCU3Zc0bMTl28SQiLO12S3kjAwMgKCADEywMK95SIgHtCAlDCfLpHBQ4DIHfqTUgqkpELiRm5VBdVyQfsVYZpuqtyZUuNokL+ez6WHbmIMpZanloPLkUFKxmoy/whO3KKXACHllEhZJUtqlx68BiF1Xkd/igvbM39mrO5YDmlSpZCdxuaz99FLBQFSzcUBSzUiQDxG7UDUf7HLBpzIYE2ncvAxwW0rpXHO2XMNU0P0CZDrE2rHlcITTSBgSgQIcVp5MpsAaelTAOMbCALElGuk9dj1fzuMswwChPcGqNax2Yq/D59iUWxYMHO69Tzz4FeOWuy2gpuSeR65/hQtFtF1+MjfXPK3VzTjIjBo3VmsDYtUPIhj9nTYM0D/UpWUA6nLZnIDi0wgOYSU/660jC7J1iYEiBrdlq29KsE9TyblQRnZUkpHcmV7H5No/Enpj+qW/pO6cFbTPRfmt1ZOgLDOHgj8REuEZJTSWnRMbNz3T8oUyTFr1zXM2KX/jdTCpwAmiHfPb/CJ8zUj/6MW7mUREASILETCwFYREA9oQOpG7aIfvRHoljNue/AQID/XdEHXquyyT6xbGJ75MsW9zEjVeFezV0mWwZkR1fW6Lj54A+O26tfyVDMGq4+UHorScaRqoHsVyIyN3SxLn4F22053r0nhsunMPfRefUYpdN/sNCVARu5A1Iev5A1vM1W6udI4WbebLo+tidQp5QkqpeMIO4GAGgTkCJAfyhbAxIaCAFGDrbn2+W7OIZyLfEUNj/cGqLnO0dzjIgdALsPZBIjIxFG/gocjnqLlYjoBQu4c3Jgoyk+qR1dZz/5rz2L9KeUESOHs6bCXkwAhF39qzaJn28tFmSpFclwdLzJA5HBS8vuWc/fR40/5LHKSrZ0lbUpVui1belZC8bzmQ4C0WnwchyKeUuFZ8VNZVHHOoQQ6TW0OXXuKVkvozz3d/S514ayGe04saO2tOK7CQVsT6BvqdpzVvCTql8ybwBe5qEn0gf4+GYmUyZOhc5UiIOUgZ++J0BuzeZn8+KVRCcWxWLuhOF+z9hU2//kJAsT810hEaCIExAMaeBwVjbLjd1NX4MBAPxTIljbuNx4CRE73glWHs7xjNiz8sTQ8RoVouiNYQpIsMTMtB+8b4IzeAXQ9FKXjNJh7GKcZNdAJabSpRyWlrszCjraXCmZLi/0D/WTj++f0PfRZw0+A+BXLgWXtysr6V2LgPiIYbz/GKjHVs/mrYzmUL5L09XaVBjt3XwQmB+und4ePqo4MqVMqdSPsBAJGQeDOs3fwncLOAPmhbH5MbCg+Qo0Cvomc1vv1EMLv0QmQWsVzYV4r5TdATTQFix9WjgARmTjql/jgtSdovSSU6UCUn1SPrdKefdecwcbT95Sao1C2tNin4H1V1+HF+69Re7Y6AsQueTJEiEwgxesjZai0jC7J1s6aLpUq3ZZ/e1SCRz7zIUCkdCSXtSsDv2IOmmDL4+TA1Sf4cSn9uae73z0kLpyRC5rk8pzSJnWOMaOZJxp45Uvg6q/QOwjaEJ7gv5XMn5lakrNJ6XyY0sRTaShWbyfO16x+ic1+goIAMfslEgGaCgHxgAZevYuB5xg64XBjQm0k/6/sDQ8BQspYkZsSrOY6PBjvY/QPkANcHbCwtTcch2zTfEvoziXe+YL91zFxu76YmZaD9/Yvir6Bzga5lCoB4pE3E/7tafkESLZ0qXByeKAsThtPR6LvmrOydokNtCRAWPtXSVCmqrerJDZiwxL4Oz08EFnSpVLqRtgJBIyCwO1nb1Flyj6mb3ELzyiwm9RpndkHceH+a2oMvDdATToRCx78/cdYuI5gZ4DU8ciN31qWsuAZmi50qYNAEtXNibWRLJkoP2nMFSJlVUl5VaWtQNa0ODBI/sKOrr8L91+hzuxDSodIYCdKoamCjdpJaRY5ydYmBIga3ZZN3SvGlfY1lyalI7mkjTf8Xb9WekjKtu/KY7RddoI6pO5+l7pwFuCaE4vbKCNAvnz5gsJB7LOFaU080ah0QgKE51uvoVdeTG9WMikhNOuxxPmaWS+PTQQnCBCbWGYxSTUIiAc0wLrZlzjlmocAGVLbBZ182QQI64WG1N8kdTgNuWHP2gcXRtdAukRC26zDXjV7idWnVzUn9KtezCCXUjdg3fNkxNZelQ3yn9SdaXtJKQGy/mQk+v/NT4BULZYDyzXKAHEZvh3RMZ9Vwbaqgw8qmkBwUGmw8/dfxy8UUjB0iD8cMqZW6kbYCQSMgsDNp2/hN5VNgDTzzo9JjUUGiFHAN5HT2rMO4uIDOgFS3S0nFnLcADXRFCx+2LcfPsF95A7mPEQmjvolljoIJF5pl3fUjyZ60hDo/ucpbD33QDE4+bOmwcFB1RTbE8Pz916h7q/qCBDCf90UpdC48GYZKyVASLY2IUBqzDzAPe4/3SuCZAqYS5PSkVRafljruey9/BjtltMJEN397jYiGO8YGff+Lg5YolDbkZSzIhogrDalcQk08c6f4Geec4/6JfNgVnMvrWGyWH/ifM1il85qAhcEiNUspZiI1giIBzTw+fMXasZFUYf02NmvyjfIeV4EhtZ2RUdfR+ZysVJa48uX+EzYhUevP1D7Z0htp0qAOmxYALKnt0/gk6V3oOU+6+5XBANruBjkUuoGrGvujNje2/IJEPKhcUpBBsi6k5EYoIIAITVuSa1bLRqrhJsS33+0L4vKRZO+3q6S2IjNwgPXMWGbflbU4cHVkDdzGqVuhJ1AwCgI3HjyBtWm7Wf6buqdD5MbizIERgHfRE5rzjyAyw+jqKPz3AA1UfhWMeybD59QXIIA4RWjtQpQNJrE3iuP0Y5xE5oMETG+FuxSJNdoNOGGhkDXlSex/fxDxeDky5IGh37mI0DCI1+h3hx1BAgJTJRCU7w8koZKs8hJtnbW9KlQcyZ/2bIN3SqgVIEs2gSsgRcpHcn5rUqjZvFcGozC52L3pUdovyKM2Sk+803qwhlPZn9M7GcUHbqdOd7kRiXQtIx6AkToYCWEVpyv8f17ENbaIyAIEO0xFR6tBAHxgP66kDRyI/HBAg8BMqyOKzpUZhMgnqND8Op9jN4ual+pMIbXdYP/tH24/uQtdZcR8UFyC5i3HRzkh/xZv+qZxLc5e65hashVXldc9kQMnojCG9KIcCIRUKQ1l1wZENzH1xD3Sd6XtpeI2OBpilB94uD+DruLgevOccesJQFSdOg2xMR+4Y6BdPj9p7LwNYHgoNJgWbo4+wdWRcFs6ZS6EXYCAaMgcP3JG/hLECCNS+fDVFGH2SjYm8qpNAHigMVtypgqNJsZNyo6RlKbTZQiU78V9lx+hJ+Wsw8Cr42vhZSCAFEPsIKenX4PQ8jFRwosv5qQyyDkUghPOxf5Et/NOczTJYGtKIWmGroEHTecikS/tfJZ5CRbm1zMUiNcv75rBZQuaD4EiJSO5LyWpVDLI7c24HJ42XnxETr+zn7uxWe+FRu2HR8+0TPueTL7P3yKRbFh7DKOkxp5oFmZAglmwHPuUdsjF+a2FHpk8QCK8zWOfwzC1CgICALEKLAKp9aAgHhAf11F2oFu4pcBnhcBQmIQMoPVvMaE4MU7fQIkvlyUlOYFeak8efsF9/bb2dcXRXNmSNBv9u5rmL7TuARI5yqOCKrlyh2vbocaMw7gyiP6DVjnnOkR0vd/mToGDZREnQ0hQNaeuItB6/kJEEI6EPJBi+Y0ZBs+fVZHgCxvVwZVTSA4qHTeiw/ewLitl/TMd/XzhZNDwn8/Sn0KO4GAVghEPH6DgOnsDJBGpfJhWlORAaIV3ubgp/qM/bj66A01FJ4SGOYwF0uNgVxYIRdXWI1XjNZScTBG3LsuPkIHiYPAK+Nqwt4uhTGGFj7/Q6DDijDsuqScAMmTKTWOBPlz4Xf27kuQbxu17fqE2iDaCKIZhoDSMrokWztbOntVwvXrupSHd6GshgWqYe/6cw7hbOQrqsc5LbxQt0QeDUdT5mrHhYfo/MdJpnF85pvz0O34GEsnQHi+61jlvuMDmNjQAz+UVU+AiEsACZdSnK8p+3cgrIyHgCBAjIet8GzhCIgH9NcF7Lf2DDacuvdtNXNmtMf+gX5InfJ/H108BMiIum74SYIAKT12J569/ai3ewbXckGXKkXQcvExHI54Rt1dpOY3z02teCebe1REiXwJa7LO3HUVM3ddM+ou7uTriCG1DSNAAqfvx7XH9AOgIjnSYXf/qkadg9bODSFA1py4g5/Xh3OHVLlodvzR3oe7H62DY9BWqOQ/sKxdGfiZMQGy5NBNjN1yUW/apMwaKbcmmkDAlAhEPI5CwHR2Te6GpfJielMhRGnKNdJ6bKm/fzwlMLSOy5b8vXoXA88xbAJElCJTvxvkbkJfHlszwbu4+pFETxYCPy0/gT2XHysGKHem1DjKSYCcufsS3xtAgIhSaIqXR9JQaRY5uTCVLX0qVcL1f3cpjzJmRIBI6UgS3U2iv5nULfj8A3RZeYo5bHzmm1TGPc933fuPsXAdwc4AGd+gOFr6FEwQD8+5h/gbmHApxflaUv+LEuMlRkAQIGJPCAQYCIgH9FdgXrz9iIHrzuLo9WfInTkNxn9fHD6O2VS/CIys54Z2FdkZIGXG78KTKH2Nj7H13dG6fCF0/iMMOy7Qb2ORGxp/hd7h3tMOGewxpr47ahb/X6ovyf4gWSDGbB0qFcawum4GDSFVEswxezrsGWA7BMjq0DsYvMG0BAjPS3HihV/Wtgz8XBwM2g/G7Lz00E2MoRAg//aoBI98mYw5tPAtEJBF4OqjKFSfIUGAeOXF9GaCAJEF0oIMpP7+8ZTAsKApm12oL999RMkxO5lxBbiKUmRqF03uJvSlMTWRJpXIAFGLr5J+bZaGYv/VJ0pM42xyZUyNY0P4MkBO3XmBhnOPKB4jseHVcbWQyk5owagG8L+Oa8PuYpCCMrpEMzBbulSqhOvXdCqn9w1taNyG9K896yAuMsooz2xWEt975TXEvaq+28IfoNsqNgESn/lGhMuJgDmtVXLKjpUdlF1se/vhE9wldKzGfl8crcupJ0CquThgqUJBdlWAWVgncb5mYQtmheEKAsQKF1VMSRsExANaH8cvX74gWTL9NGueQ99R9dzQVoIAYYmcT2viiUal86H/2rNYfyqSusg9qznh1z0RqjfAjGaeaOCVL67/tJArBvlSEsRPFQtjRD3DCBC/qfuYuieFsqXFvoF+SkIxGxtDMkD+PH4HQzaajgAh/z4KB21TjeWSNt7wd82pur+xO7IyQMxN1NHYOAj/5onAlYdRqDGTTYA08MqLGYIAMc/FUxlVtWn7cIOhCcZTAkPl8KLbf5dkvMayCRBx+KN+m8jdhL4wugbS2dupH0D0lEWg9ZLjOHjtqaxdvAHJkj8+JECxPTEkpXuJGLXaJkqhqUUuYT+lWeQkWztHentVBMjqTuVQLtElQm2iV+dFSkdrelNPNCz19Zs4KduWc/fR48/TzCHjM9+kMu4rOmXDqg7lFIUtp2NFLkj+WL5QAl885x5a6kwqmpCZG4nzNTNfIBsITxAgNrDIYorqEBAPaOW48bwIjP7OHW0qJHyR0B2p/MTdePAqWm/w+a1KxWVojNp8AcuP3KIGR8pr0W6oK51J2cJZsbZz+TjzKTsu47e915V2VWXX9v9xGPWdu6q+8Z2qTNmL28/eUX0UyJoWBwZZPgGSOW1KnFEggr7q+G0M3XieG0+eVGkp558/f4HjEPUEyOIfvRHgZr4EyMID1zFh22U9CMztRhv3BhAdrAKByw9fo+bMg8y51C+ZB7Oae1nFXMUkviIgdQFAq+e6wFoagWdvPqD0uF1MI1GKTP0O2h7+AF0lbkKHj6qODKlTqh9A9JRFoMWiYzhynV52l9aZZJSHDuUlQJ6j0byjsrGwDEQpNNXQJeioNIucZGtnT2+PenMOcQ/8Z0cfVCiSnbufsTpI6WhNaVwCTbzzG2topt/NZ++j119sAuTimBpIm8oOhYO24gtDcrG8Yzb81UkZASKnY0W7uMlz7iHeRRIutThfS/J/UmLARAgIAkRsCYEAAwHxgFa+NXheBGg3KXRHqvjLHtx7+V5vcFJzldzonLrjCubspWd5TGjggYnbLiHqwyflwSeyvPVLnbj/8sv2y5i/37gESJvyBTG6fnHVsZKOlSfvwd3n+niR3/JlSYNDP1czyH9Sd6btJaUEyMpjtzHsH34ChCdVWgqPT7Gf4TR0u2rIFrYujeruuVT3N3bHufsiMDn4it4wqzr4oKKT+XzQGRsH4d88Ebj04DVqzWITIKSWNalpLZr1IFB1yl7cYlwA0Oq5bj1oGWcmT998gLcEASJKkanHfeu5B+j+J7sUzLlR1ZFRECDqAVbQs9mCozh+87kCy68m5GA8bBgfARJ26zkaz1dPgMQfCCsO0sINCem6NfwB3n6IRW2PXCiYLZ0mMyIllIMUlNFd2tY7bp2/m8MvXG9u78sB0/cjgqEjOblRCTQtk/QEyKYz99B79RnmmsZnvkmdPfgUzoo1/11olNsccjpWNO1SnnMPHjJGLlZr+F2cr1nDKlr2HAQBYtnrJ6I3IgLiAa0cXJ4XAVotTd2RKk3ag8gX+gf667qUh3ehrJi37zomBevfQic+yG0VIlxOI1CUziaeACFEyoIDN5R2U2VHaooSPAxpLMKI+MybOQ0OD7YdAuSPo7cwfNMFbjh5UqWlnMfEfkZRAwiQBa1Lo4YZEyC/7r6GaTuv6kGwvF0ZVDVj8XbuDSE6WCQCF++/Ru3ZbAKknmce/CoIEItcW1bQvpP34s5zegakVs91qwLMCJMhmm1Eu425Rs45QC6wiMaPwL9n76OnxE3osyOqI1NakQHCj6zyHk3mH8GJWy8Ud8iePhXChgUqtieGJ249RxMDCBBbKoVGNIeIXsqNp2/jMM6UJiWIsLhzzgxcmNOMlWaRk2zt7BnsVQnXr2zvg0pFzefCULWp+75hmRiTXxp6oHnZAgbjyuvgn9P30GcNmwAhmW/p7UkGCDvjXreig9z4ROtUqozjsDqu6FDZMYEbnnMPnljkYrWG38X5mjWsomXPQRAglr1+InojIiAe0MrB5XkRGPd9cbRKJCamO1K5Cbvx8LV+CaxtvSrDLU9G/HHsNoYzbvnPal4yjiC5/DBKefCJLONTycdvvYhFB2+q9qOkY0ufAhjfwEOJKdOGVTKMdFAjxmhQMBp0pu0l8oFzdmR1We+/H72FESYkQD58ikWxYcGycbIM4su8qXZg5I4zdl7FrN3X9EZZ9KM3As24dJeRYRHuzQSB8/deSdbkrlsiN+a0KGUm0YowtEBAKgNS3LrUAmF5H49fR6PshN1MQ1H+Qx5DloVcKZjTwwORJV0q9QOInrIINJx7GKfuvJS1izcg4tgnh/MRIMdvPEOzhccUj5HY0JZKodGEyrXQUySYKs0iJ++8hOhqoEK4Pr6agerF1rijVBbl+AbF0dInofi3xsNT3W04FYl+a88yhyLfg4QAISLorFamUBb83aWConDlyjgOre2Kjr7qCRDvglmwrquyWBQFbOFG4nzNwhfQCsIXBIgVLKKYgnEQEA9o5bjyECByL1Qlx4Tg5bsYvcH3D6wal+YsdTPktxalsOLoLYRypKsnHuhYkD9yZUqNsVsugog+G7P9ULYAJjY0jABhicaTuNXUIjbmfJX4NoQAWXHkFkZu5s8AqVAkG/7sqKxWrNQcomNi4TJcPQEyr2Up1PLIrQQmk9iwdHHMPW6TgCUGTXIE5AiQOiVyg/yNEM16EJDKgCznmBWrO33V9BLNeAg8eh0NH0GAGAVguVIwp4YHIqsgQIyCfbzT+r8dxtm7ygkQsh5kXXjasRvP0NwAAsSWSqGxvjfjs/d5cE9sqzSLnGRr58hgH5eJwttW/FQWRBTbXJrUJQK5ig3GmsO6k5EY8DebADkzIjCOAJEqOcxDOshlMQbVckHnKkUSTJfn3MOrQGZs7FbRWHBZnF9xvmZxS2Z1AQsCxOqWVExIKwTEA1o5kjwvAkSno4UPO6W22LDt+PDps97gJ4YGxL1w7rr4CB1+D6MGRzQU1oZFYtelR8qDT2QZ3KcyXHJlxOh/L2DZYbrYumrniTo2L5MfvzQqYZA7UnqCvLzRmppaxAYFY2DnL1++UFOaM6a2w7lRNWS9Lzt8E6P/vShrl9hAKwLk/cdYuI5QT4CQw1lySGuubeL2S1iwX78sHNFVIPoKogkETIlAeOQrSVFSUit8bsvSpgxRjK0xAlIEiCg7oTHYDHcPX0Wj3ER2BogoRaZ+HTaejkTfNeyDQKI1Qd7zRDMeAvV+PYTwe68UD6BUs07X4dHrz/DDIvUZILZUCs2YBIjSLPL5rb4SII3m8RMgy9qVgZ8ZlYyV+hs6+jt3tKlQSPHe18qQluWj65tkvqWzt4PzMLbmYqkCmbFBIekgl8X4c00XdK2qngDxzJcJm3pU0goei/cjztcsfgktfgKCALH4JRQTMBYC4gGtHFkeAoRkPJDMB1Zj+YoX+ZP6UCAvlqRm8oZT95j+M6S2Q1Q0WyT9r47lUL5INozafAHLjxiXAGnqnQ+TG3sqB5piWXrsTjx7+5HqQ00qvkHBGNg59vMXakqzUgJk6aGbGLOFnwDRqlTK2w+f4D5yh2oU5rTwQt0S5kskjNtyEYspWVHTmniiUel8quctOgoEtEDgXORLSVHSWsVzYV4rQYBogbW5+JAqAVm2UFas7SIyQIy9Vg9evUf5iXuYw2h1wcDY8zBH/3KlYEKH+sMhQ2pzDN1qYqo96yAuPniteD5KS7bqOjxy/SlaLDqueIzEhrZUCs2YBMjywzcxSsElKlKu9isBwi9cv6xtGfi5OKhea607Sv0NHVnPDe0qFtZ6SFl/a07cwc/rw5l2J4cFIH1qO8mSwyXzZ8Y/3ZVlXchlMQ6sUQzd/ZwSxMNz7lE8b0Zs6VlZdt62YiDO12xlpc13noIAMd+1EZGZGAHxgFa+ADwvAnKiaixfNybURvLkySBV5mRVBx/svPhIkrgoXTALTt5mCxrG6zCM2HQevx+9rRwEFZaNS+fD1CaGESBeY0LwglIyjISTJW1KnB4hr52hInSjdGFpaCglQEjJMlK6jLdpVSolKjoGHqNCeIf/Zk8EmolQs7k2Fik4qZEHmpVJeqFEc8VJxGUaBM7cfSkpSlrTPRfmtxYEiGlWxzijsjTDyGg8JTCME51teL338j3ILWJW0+qCgW2gmXCWcqVgQof4wyGjIECMuTdqzjzApSuo9H1VN+bDEU/RcrF6AsSWSqEZkwBRmkU+t2WpuBLDjVUI1y9p4w1/15zG3LJcvqXKKNPEv7mcqzT+K/QOgjawCRBSEYJcZpQqOeyZPzM2KSRA5Ej8AdWd0aNa0QSz4Tn3cM2dEdt7CwIkHkBxvqbyH4bophkCggDRDErhyNoQEA9o5SvK8yIgd1gq93J76+lbVJ26jxrcmk7lcPj6M8ymCDWTDsmSAaTs1F+hd5mTi89QGfZPOFYeu6McBBWWDUvlxfSmJVX0/F8Xz9EhePVeXzOFWKi5iWZQMAZ2ZmVQkBfdcAUlsBYfvIFxWy9xR6EVAfI6OgYlDCBAZjUvifol83LHn1Qdhv9zHn8c0ycFx31fHK3KJb1QYlLNW4xjGQicvvNCUpS0hntOLGjtbRmTEVEqQkDq8IZcX6HfQQAAIABJREFUdlgvhEcV4WiIUeSLd6g0aS/ThVZ/Xw2J0VL7ypWCidess9T5WULc1Wfsx9VHbxSHqvR9VdfhoWtP0WqJegLElkqhyX0jKl4oiqHSLHJSrtYhoz2aqCBAFv/ojQA38yFAvMftwtM39DLKNPFvQ/BV2nfV8dsYuvE805wQvxlSp5QsOVwiXyZsVlh2So7E7xfojF7+6gmQYjkzYEdfX6XTt3o7cb5m9Uts9hMUBIjZL5EI0FQIiAe0cuR5CJDJjUugqXd+pnO5l1vyokZe2GhtQ7cKOH3nJTMLIE+m1KjvlRfz9l1njh9f63PIxnD8edy4BEgDr7yY0cwwAsRj5A5EfaCX9Mpgb4fw0fLaGcpX2riWhMghhE7ipvSDctGBGxi/jZ8A8SmcFWs6G14q5dW7GHiOUZ8BYu4ECLmRRW5mJW6j6rmhrQnS5I27G4V3S0Pg1J0XkqKkgW45sehHQYBY2rpKxSulgSWER5Nmpe8+f4fKk9kEiNBiUb8Oa0/cxaD155gOjgyuhjyZ06gfQPSURcB/2j5cf/JW1i7egIgzn+d87z547QlaLwlVPEZiw3iNRNUOLKij3DeiIVNReomKlKslpeeaLuAvgUW0Kqu75zIkTE37SpVRHlzLBV0SiX9rOjjDGbloRS5csdrxIf5xIuhSJYc98mbCvz2V6W7I/Q3rE1AUfQKcE4TDc+7h5JAeu/pVSQroLGIMcb5mEctk1UEKAsSql1dMzhAExANaOXo8LwJTGpdAEwMIkOiYWGba65aelXDpwWsMXEf/YCSlGIi+x/SdV5mT6+zriKDargjacE4yU0Q5OmzL+iXzYFZzL4NcuY8IxtuPsVQf6VKlwIUxNQ3yn5Sdn7/9iFJjd+oNqZQAWXjgOiZsu8wdslYEyIu3H+FFiV9pQDOaeaKBl/lqaQxadxZrwyL1pmOqW2JKcRV2toEAKW0oJUoa4JoTi9sIAsSadoPU7VWeGuDWhElSz0Xu8EhosahfkdWhdzBYohTM4cHVkFcQIOoBVtDTb+o+3HyqnAAh792/tSyFg9eeokiO9CClblPZJZcc6cDVJ/hxqXoCxJZKoZkDATL7By/kzGCPZgv5hesXtC6NGmZEgJQcE4KXjDLKg2oWQ7eqCbUvFPyTMdhEToz+aFC1uAyQ4hKai+55MmJrL2Vlp+48ewffKWwSv7d/UfQNVE+AOGZPhz0DqhqMi7U4EOdr1rKSljsPQYBY7tqJyI2MgHhAKweYhwAhmhfkg4DV5F5uv3z5gsJB26jdd/Txxa1nb9H5j5PU30n5K/JBIpUl0Mw7//+xd92BVRTf+qOTUELvvbfQe68hBAREioA0RUCadKV3UEBsgCAIKIICCqL03nuHBEJC76FX6bx34u/Czd2dndm9u7dl5p/3ft4zZ845s1l25jvnfPiyaVF89sdRLNzPbpUlHh22JPE9EO+DM6Pg0NX497k6AOKXIB5OjPYeACTq/hOUHbdBCYAIVrJM33IaX6zSD4CYlaHKAnBE93dy82JoUtJzAZA+iw5jycHLCnfcdUgSjauUix0ROHD+tiYpae2C6TCrXZnYEYxY4qVW9mqxLAFYJtgCI5aEyxI3z996hGoT1duS0oJlcqTE4i4VLVnb15VSFTJVI7PGtgE1kDWVv6+Hwa3+VZ2wCRduPzZsg0jrxc3hUWg/Z5/hNSgjPr0FXDCvXr3GX4cvI/TK/ei/Y7q4j0O9hN04eGdEZ0wTTaKiam2K9/sGABAbz6Qzdpo5t+iINbj/RL2LgBr3hZlrs3TxyOgJ+CWuHS3OxUIZk2OlIO8G79+wnjXzoE9Q/jfmat1DqPmULZU/tg6o4YrQecUa8n7NK7bJp42UAIhPb690zpkIyBe0ePT0ACBfNSuG95wAQMiq3INW4uWr1woDN/Sthqj7T9FypnpWDrW3Spo4vmZpbVCh9PixbWn0X3wEiw8os93Fo8KXrF80I6iXrDMj/5BVePrilaqKRPHjInxMPWfUu3Tulbv/oqIKmapoKy9qbfblagMASI5UWNTF+RZYWu3ZRALJAwdFdFgp8+nvh7Ds8BXFEmr9ca20Q+qWEVCLwL5ztzV7ctcqkA4/tZcAiC89PVQxSMCz2tDTA9yXYuJqX7R42cgWycVifEd4vfC39q+BbKklAGI8wvyZlb7YCOIIcGZs/6wGsqRk79Om8Ch0cAIAoYz4jAHmt0IbvPQY5tu1AvaEbz0rAZAZW05jvEAS1Tct/gNAWGdNrWflh9YlUS8wozOPk6lzqYriIaONsrv2m8fFQsBvcr8Eqi2TbcEpkCEZVvcS492gCi+q9GKN7jXyoF/dtwDIi5evkGfwKuF9oCo9Am3k+C8C8n5NPgnujoAEQNy9A3J9j42AfEGLb40eAISX5S7ycVto2Go8Vmn7RB9FRERd/7vtqsZPa10yel6/xUeYztmqAfouOoI/D1oLgIQEZsC01qXEA60imXfwSjx/qQSDSDRhvLg4NdZ7ABBWKw1RAGTa5khMWB2uO55mteiIevAEZccqK1hEDeK1hxPVY5VctwUHseLoVYX6HjXzoK9ddpRV60u9MgJaEdh79rZmT+6aBdJhtgRAfOoh0mrfoacHuE8FxcXO8C6PSmZLgSVdK7nYKt9YjtcLf0v/6sieOolvOOuhXlQYvwFX7z1xyjpeJv2mk1HoMNd4BYgVrdAePHmOEqPW4YVdsllK/wTYP6QO4sV1XxWIyBnR6GaJVpFTu1oCQFrN1E9cT0lvlPzmKYN1nib71Fo/ucJuHhdLNACSOIEm56Ie4vHTNx6i1ldbmK51rZ4bA4ILvPldqxW3mpKMAYmxa2AtV4TOK9aQ92tesU0+baQEQHx6e6VzzkRAvqDFo6cHAOHxHIh83JYYtRZ3VHqW7h5YC89fvmIScq7oWRlHL90DkTmzhu2jqc/Cw1hySNnuRzwqfMngwhkwvY1zAAirGoZWjx83DiLHhfAN8RAJ1kWKKKnk1E2RmLhGPwBiVosOVgsv0fBOeK8ompfJKirucrku8w5gdeg1xbpEkkhkiXLICLgzAnvO3NLsyV09f1rM7VDWnSbKtU2OQLGRa3Hv3+eqWvX0ADfZrFiljnd5JMnojT8OvF74m/pVR840EgAxHmH+zLJj1yPqwVO+oIYEDwDZePI6Ppy73/AavAoTI4rXhl5DJ5V2wnTOyhCQ2IhKU+aInBGNLiSaREWJfBkIAJmlHwChtsfU/thThlYXAcfWT66yeebWM5qtqgn4JQBEi3MxX/qkWNtbjHg8MuoBak/eynTP8YxDFTNa/COOitIlS4S9g2u7Knwev468X/P4LfJ5AyUA4vNbLB00GgH5ghaPnB4AhHqnNiqemalc5OO2/LgNuHZfmZF1YEhtxI8Xl1kWe3xkXSzYc16TKNv2odLr90P4S6Xdj3hU+JK2dlt8SbZEzoEr8Fq9AASUpHVmfH1n1Lt0bsT1B6jztfIjVBQAmbIxApPWsgnuWc6YBYBcu/cE5ccbrwD58r1AtCiTzaUx17NYx5/3Y/2J64opHSvnxJAGhfSokrIyAqZHYPeZW5o9uavlS4ufP5QAiOmBd6PCwBFr8IDRv1xPD3A3uuD1S0dGPUTtyezs2WJZU2BZN1kBYmSjf955DsP/DmVO3di3GnKlTWpEtZwjGIHSY9bh5kP1NnuCKtC3Tj70qJWXKb7hxHV89LNxAMQKLphVx67ik/kHFTa7m3Bd5Iwoui+OcqJJVNSulrL6WxsAQIhAvaEHASD5Bq/Cs5fqbZS71ciN/nVdn9zEa0VGwG+AXwJQC0zWyJMuKdb3EQNATl1/gCCVs6dNd+equTAwpOCbpe4+fobio9hrO9qUJmnC6MopOf6LgLxfk0+CuyMgARB374Bc32MjIF/Q4lvjagCk2sRNOH9LSUp4ZHgQqF1SrkHqJOnnvqiPk9fuI/ibbUznEhJvxuhgfPr7Yfx9RMl3IB4VvmTtgukxq11pviBDQoSI7ez4ELeTFoo6eOLqfdT7Vrk3ogDI9xsi8NU6/QBI6ewp8ccnzpO0sjhMRP3/okkg3i/ruQBIhzl7sSn8hsKddhWyY2SjIqJuSjkZAUsisOv0Lc2e3FXzpcUvEgCxJPbuUho4fA0eMPqX6+kB7i77fWFdXvasJKM3vstzdpzFyH/CmArogo8u+uSwLgKsinM9K/IAkHVh1/HxL8YBECu4YKjdKbU9dRxWEa6LxtNKAEQ0iYra1RLnygc/6a8A4SUBisbBLDmtLgKfVM8N4s509eDxORLfJwEgpcesZ5qWO20SbOhbXcj08GsPUPcbdgXIx1VyYnD9t0leevkeqXXcoWFBQrbEBiF5vxYbdtmzfZQAiGfvj7TOjRGQL2jx4OsBQHjZLyIft0Ffb8Gp6w8VBp4YFQy/hPGgpYNAgwbfb0folftMB8NG1cWAP45iuQrfgXhU+JLOkvISETx9vGqNM+NCENeN/Xr5UXgrcfzyvei9cRxJEsZD6Khgrqpv10fg6/X6ARCzSFqJKJMIM42Oce8GolU5zwVA2vy0B9sibircI5vJdjlkBNwZgZ2RNzVbUlTJmwbzPirnThPl2iZHoPCw1XikwgdGy0gAxORgM9SxKjdt4pKM3vg+/LT9LEYvZwMg63pXRd70yYwvIGdyI1B0xBrcZ1SZcSf/T4DXAovVbkpU/+Z+1ZHD5FZoy49eQfcFhxQmWME3IuonyYmcEfXos5cVTaKaEA2AJEabn/bqXooI1BuXYHdB0K3QyQlaXQQcKx+cXEp4Oq8SZ32fqgjwS4gyY9kASK40SbCxnxgAwkq+sxn8UeWcGGpX5X79/hOUGyde7Z88cXwcHVFX2H9fF5T3a76+w57vnwRAPH+PpIVuioB8QYsHXg8Awut/WvOrzThz41GMxVuUzoovmxZ989/e+X47jl2+pzAwcmy96BZYavbY82FQz/BJa8Jx4PwdhF1VAiE7P6+JsStOYMUxJeGzeFT4kjXyp8UcJ3rSE99J3sGrNBeyxYRvjfslDl24g3en7VQY4pcgHk6M5gMg36w/hW/WR+h2xCwAhEXiLmrQ2HeLoHW57KLiLpdrNXM3dp6+pVi3eeksmNC0mMvtkQvKCNhHYEfkTc2WFBIA8b3nRYvAVU8PcN+LjOs84mXPFsmcHMt7VHGdQT60Eo8MeG3vqsgnARBLd5x6/VPPf2cGrwJkTeg1dFbh2xBd0wouGKqA7/mbEgCxotpE1E+SsxIA+W5DBCYLVJFTu1qqAGk7Wz8AQvwhTUpm0eOyZbK8LgKOlQ+WGeKgmFeJQ8AvVYCU1QAhcqT2x+b+NYRMDr1yD/W/Uybf2SZ3qJQDw98p/EbXpTuPUfnLTUK6SUi0i4GwQi8XlPdrXr6BPmC+BEB8YBOlC9ZEQL6gxeOqBwCZ0qoEGhRlE8At3n8R/f84+mbxeHHjYE2vKsiT7m2WW9MfdmL/+TsKA23tntTsKZszFRZ1rhBjzpPnL1Fg6GqFHiJLn7IxEquOKwmfxaPCl3S2Jz3LfvuVT42pB2rr5Q1j/7nbaDp9l8LUhPHi4tTYelwX6OBCBxi9o2S2FFjS1fke5RduPUbVieIfxY52jm5cBG3Key4A0nzGLuw9e1sR3iYlMmNyi+J6w25Inp753/ZeiAZJqaVRnULpDemRk3wvAtsjbmq2pKiUJzXmdyzve47HYo8KDF2FJ8/V+5fnTZcU6wR7gMfiEDrtOq+tqCSjNx5iHhnw6l5VUCBDcuMLyJncCGiBrNzJ/xPgASCrj19Dl18PiKpTyFFLoNwmc8EsO3w5uhWw47BiLT2OWwmAiCZRUbvajCn80M4AAPJVs2J4r5RnACC8LgIfVsqJYe+4nt+PB0St6VUVKfwTaFZhZE/tjy2CAAir+4DtuWxfMQdGNHwLgJy/9QjVJm4WfmxFk/iEFXq5oLxf8/IN9AHzJQDiA5soXbAmAvIFLR5XPQDI1FYlUb9oRqZyykj5Yctp/L73IpL7xUfPmnkRVDhDDPnWs3ZjR6QyE504PmgM+esYft19Icac3z4ujwq5UyvWzT9kFZ6+iHmBsqBjOfy86xzWhCoJn8Wjwpd0NiP532cvUXCYEsCxX/nk6GAkThCPb4wHSLBIjOPEAc4KkLlPXhuO7zZG6vbELABE70exo6GjGxVGmwo5dNvvqgnv/bAzumrKcTQomhFTWpV0iRnt5+zFZjsekpENC6Pd/x9O5JAR2BZxQ7MlRcXcqbHgYwmA+NKTovbvt80/PT3AfSkmrvaF1z5EktEb3xEeGfDKnlVQKJMEQIxHmD9T6x3Dn/2fBA8AYRGOi+qnlkD2SWKi87Tklh66hN4LjyhE3F11ZCUA8vW6U/hWIIlqPAEgAYnRfs4+3aEm/pBmpbPqnmfFBF4XAceLfytsUNPJA6JWfVolGgCpMJ7dcjhrKj9sG1BTyOSjl+6i4ZQdTNm2FbJjlB3PYWTUQ9SevEVINwmJJvEJK/RyQXm/5uUb6APmSwDEBzZRumBNBOQLWjyuegCQaa1LIiSQDYCIrPrh3H3YeDJKIWoDQE7feIi2P+0FcTLQqFckA2jdOHST7jDKjVuP6/efxvivBNL8dfgyiJjQyuFsRvKjpy9QePgaTRNtvChW+mGWbq0WNiJcJl+tDcf3BgCQEtlSYKkJFSBnbz5CjUniWUGOcfP0y/xGU3fgyMW7iu0OLpwB09uUMusxYOpRA5j09Pm13EC5gFsjsPXUDc2WFBVypcZvnSQA4tZNMnnxfINX4dlL9QqQXGmTYKMgCarJZsUqdbz2IQUzJgddWMmhPwLTt5zGF6tOMidStXLhTAH6FcsZwhHIO3glnr98LSyvJsjjAFl57Cq6zlcSjosuagUXzJKDl9BnkRIAcfczZyUAIppERe1qM6XwQwcDAAjxhzT3EACE10XA8eJf9Hl0Vo5XzU/PYEr/hKiowbmYJaUftn8mBoDQuYbON6zxQflsGNP4Lc8hr+2jox7qZHF6XIizYfGZ+fJ+zWe20msdkQCI126dNNzqCMgXtHiE9QAg0z8oieAizgEgn/x6QLU9lQ0AIcvvPX6OfeduI0mi+CifK5Uq+EFywd9sxclrD2I4Sx+3m05GYf0JJcgiHhW+JOtC7p8jV7Bo/0Ukih8PvWrnRZHM6gfcB0+eI3DEWs2Fjo+sG91/1BvG5vAoZkZV+Jjg6HhojYlrTmLqptO6XS2eNQX+6uZ8CywC3mp9JZ4V5GjoiHcKoX2lnLrtd9WEBt9vw/HLSs6c2gXTYVa7MpabwcrOs/+7t9wIuYDHRkDr/UFG078Dv3eK2QbRY52RhglFQOtyMmeaJKDe+HJYGwFe+xBJRm88/tM2R2LC6nCmguU9KjO/D42vKmfaRyDXwBV45Rz+wa0AWXH0KrotMA6AUEug/Bnetgk2Ywcd2xHbdP7dvRKKZklhxhKGdLDOm7YWyIaU/m+SaBLVmMZFkJkAkLn6K0CIP6RFmWzOmGnaXF4XAceLf9MW5iji7QO996gCRIuHg/Znx+diAAiLf9JmZqty2TDu3bcACO/fPDX35DnlbVTk/Zqr/pLkOqwISABEPhsyAowIyBe0+KOhDwApheAiMVtaia/0n+TYFWGYue2sYpqRD4wWM3ZhjwOvQWDmAFWSdb128uTL5UyFhQ68JI5kiP4J40VnsaRKklChjkCeYqO0AZCjI4KQPHECnike8fuGE9fx0c/7VW0JG1UX/gm1gZwJq09i2mb3ASB6y6IdHR3WoBA+rOy5AIgaWEg+EBfHLx+WtfwZYgEgItVBlhsnF3B7BDaFR2lmZKrxQLndaGmAUxHIPWglqI+52tBDguqUEbF8Mu8yKH/6ZFjTu2osj5Ix96duisTENWwAxN2X0ca88p5ZPJJoUU94LbCWH72C7guUhOOi+q3ggvl97wV8vuSYwoQ/P6mIUtlTippmuhzrvBk5th7ix3OO71A0iYra1WZO6YcP56qfV7ScJv6Q98t6BgDy8OkLFNHoIuB48W/6ZjIU8vbhn+7/ASBVJrA5FzMFJMbOgbWETKbWvtTilzVals2K8U2KvvmZVzGipkeeU95GRd6vCT2WUsjCCEgAxMLgStXeHQH5ghbfPz0ACIuLQ3w14OLtx4oPn5oF0mF2e/1Z6F3mHcDqUGvJzlm+lc2RCou6xMxI7jr/AFYei2lP79r58GntvAo1dx49Q4nR6zRDd2RYEAL8vQMAcQR/7B07MjwIAX7afny5+iR+MACAFMuaAstMqACJuP4Adb7equdRjiE7tEEhfOTBAEidyVsQEfVQ4Z+ruBVYfYG9iefG8MMhJ3IjQFV7WhmZau9brlIp4NER0MrOzpbKH1sH1PBo+33BuGOX7uGdKduZruRLnxRre1fzBVdd7sOUjRGYtPYUc136bqHvFzmsiQCPJFp0VV4LLKr67vGbcQDECi6YebvOYeiyUIWLizpXACUTuGuwzptmfAeKJlGNIgAkhR8zYUsrNlRJQMCCJ4z7T56jqEYXgffLZMUX7729+HeVzbyzHL33KClQCwDJkDwxdg8SA0D2n7uNptN3Md1rUTorvmz6Ng48wERNUcTYekjgJEDnqvhbvY68X7M6wlI/LwISAOFFSP4eayMgX9DiW68HANk2oAaypvIXV86QHL/qBGZsORP9K12Mz+9YzlArgM//PIrf91102h4jCkpnT4k/PqkYY6qe/ra3Hj5FqTHrNZc+NLQOUqpUjxix1+o5Wm0ADgypjdRJE2maYP9M6LHVLABEb19YRxuH1C+IjlVy6THdpbI1J23GmZuPFGu66mL5uw0RoN7AjsObQD6XblgsW2zjyeuaGZllcqTE4i4x37exLEQ+567Wt4ceElSfC4wLHeJlw+ZJlxTr+0gAxMiWsP7Ns+la2rUiSmRzXza+EZ+8ac6zF6+Qb8gqp03mVYAsO3wZn/5+2PA6VrRCm7XtDMasOKGwacHH5VAxdxrDtjo7kfXON6PdL+/i3WY78fURANLxF/0VINRiuXW57M6GwZT5dx8/Q/FR7CS65qWzYELTYqaspUcJ7yxH7z0CQKpNZHMupkuWCHsH1xZadu/Z22g+gw2AOMZhz5lbaPHjbiHdNiEzADpdC3qwsLxf8+DNiSWmSQAklmy0dFN/BOQLWjxmogAIEYGFjw52ukyZLKPSdMpGp2qQ0jlScasDWN4QwSQRTbpjlMyWAkscyLf1ACBRD56g7NgNmqaLAAfu8F1tTa1D4N5BtZAueWJNU8evPIEZW/8DxfSMYlkCsKx7ZT1TVGVPXruP4G+2GdYzOKQgPq7quQBI1QmbcOH2Y4V/ZnGo8AL3/YYIfKUCgIg8Gzzd8nfvj4BWCz3yTg1w9n6vY68HvPY0enqAx94oOu/54Yt30ViDQDZ32iTYIMnoDQWaVfVoU+budkSGnPKiSTySaFFXvBEAoWpqAgQcB7U7pban7hqsM5IZiTC8i3ebz8PfKYQsKf3xsQEAZHTjImhT3jMAkNuPnqGkRheB90pmwVfNXQ+AjFt5Aj9qnOWWEADinxDVJ7EBkLTJEmGfIADCAzSalsqCSc3exmFn5E20mrVH15+ASBtnXQq9WFjer3nx5vmI6RIA8ZGNlG6YHwH5ghaPqSgA4okXEr/sOodhKmXe4t6/lSSAh9WPXE2f2sUxK5Zq5bPX7z9BuXHaAAh9ANKHoDeMJQcvoc+iI6qmEpkdPT9ag/fRzJpbNEsA/jYBAAm7ch8h3xkHQAaFFECnqrk9dqsqfbERl+/+q7CvSObkWN6jiuV2s9qBmFVVZrkDcgFLI7Au7LrmhQT1LacLQzl8IwKvXr1GrkErmc544veGb0Q+phc8AtlcaZNgowRADG09i/fKpuzPTyqgVHb3tSMy5JQXTXr09AUKa3AkiLrSp04+9KylbGNrm//XocvotdB4BYgVXDCs6qM57cugRoF0oq6bLsc6I5mR7CWaREV8fVlS+qHTvAO6/aP2WW0r5NA9z4oJNx48RZmx7C4CTUpkxuQWxa1YWlPnmOVhmLVdyfNp/95L6Z8QNb/awtSTJmlC7B9SR8j2XadvoeVMdkVHk5KZMbn52zhsOXUD7WbvFdJtEzo2IgjJvISPU5djBoTl/ZqBoMkppkZAAiCmhlMq86UIyBe0+G6KAiCeSELLI/AUjwKQKH5cPH3xSniKWuUBK5Zre1dFvvTJYui+eu9fVBi/UXO9PYNqIT2nckLYYIsFF+27iAF/HlVdZUv/6sieOolTH82syWYBIM4+S5/XK4Au1TwXACk3bj2u33+qCGOBDMmwupf1JLcsQtj1faoiT7qYfxsWP6pSvZsjQODv3J3nEHX/KRoUy4ga+dNhbeg1zQuJEtlSYKlDxZ2b3ZDLOxEBXn9+PSSoTpgR66fy+qHnTJMEm/pVj/VxMhKAyWvD8d3GSObUxV0qoEwOCYAYia3IHB5HgogOkvm0Vl70rpOPKb700CX0Xqie/COyhhVcMJPWhGPKJuWz92ObUggqnEHELEtkWGckMyqBx64Iw8xt7It3m0PE10cASGcDAAi1z2pX0TMAkKj7T1BWI4muUfFM+Pb9Epbso5bSUf+EYfYO9j7Qe49aYNXSAEBSJ0mIA0PFABBeRce7JTLjazsgiNduVc03MyqUXL4RFi0o79csCqxUKxwBCYAIh0oKxrYIyBe0+I6LAiDuyibR8uTFy1coOnItHj97Ke4wQzJpovh4+PSFsJ7AzAH4p8fb1ktaGa3ftyyBd4pliqGbsvEpK19r7BpYExkDtCsnhA22WHDBngsYtPSY6iob+lZD7rRJNS0YvTwMP2lkDbEmO+6DUTedBUA+Cy6AT6p7LgBSesw63Hz4TBEeV2X4TtsciQmrwxXrr+hZGYUzBRjdNjnPyyLw+NkL1Pt2G87f+q8dW5w4wA+tSyJOnDiaFxKuatXmZeH0WnPp3+48g9n9+fWQoHptEDzMRytnAAAgAElEQVTA8APnb+O9H9j903Ok9sfm/pKM3shWsS6hbboWdiqPcrlSG1Et5whEgMeRIKAiWqRbjdzoX7cAU/zPA5fQd7FxAMQKLhhWNQT9W1svMKOo66bLsc6bIlXiPGN4lQe2+cTXRy2wuvyqvwKE2md1qJSTZ4pLfucl0dGZk86erh4j/g6NTnBhDXrvpU6aELUnb2XKpPRPgEPDgoRM3x5xEx/8xG5p5QgErQm9phv8Oji0TjRoIwcg79fkU+DuCEgAxN07INf32AjIF7T41ogCID1r5kGfoPziil0k+cGsPdgeedPp1VL4J8Ddx8+F9RTOlBwrer5tHfTgyXMEjlirOr97jTzoVzdm7Ij/pMqETZrrmXEoEHbIScF5u85hKKMd2ZpeVZE/g3aWPy9riGWeWS2cjl66i4ZTdhiOQv+6+dGtRh7D862eWHzUWtXnO1sqf2wdYP0FF6sChPoBl5REsFZvv8foX338Krr8ejCGPVRd+GGlnJoXEsWypgBlysrhGxHgERSnT54IewaJkaD6RkTc48X+c7fRdDobAMme2h9bJABiaHMmrjmJqZvYHHW/dyqP8hIAMRRbkUm3Hj5FqTHsFkEiOkimc7VcGFivIFP8jwOX0M8JAMSKb6CR/4Rizg7lJfR3LUugoUMylmgczJBjnTe39q+BbKn9nVpCNImK+PqypvJTfIeILE7tsz6s7BkACC+Jrn5gRkxtXVLELVNlhi87jp93nWfqpPceVXjU+ZoNgAT4JcCR4WIAyNZTN9BWo6WVIxC08thVdJ0f8xuUF4C9g2shXTJtHkueDl/5Xd6v+cpOeq8fEgDx3r2TllscAfmCFg+wKADy5XuBaFEmm7hiF0nyiCZFzUiTNBFuPlS2CGLNL5gxOVZ9+hYAuXL3X1RkVHTULpges9qVjqHq/K1HqDaRTQJHwt7EjzBnx1mM/CdMNVzLe1RGkczaWf68rCHWPpgFgPDIYHnPkacDIIHD1+CBSoWTq1rNsP5Of/u4PCrkllmwvOfLV35v8P02HL98X+EOZaZ+onEoVWs56CsxiY1+PH3xEvmHrGa6rocENTbGzyyf9527jWYaAAhdFG4bUNOs5WKVHiKhJjJq1ljwcTlUzJ0mVsXElc7yOBJEbelYOSeGNCjEFF+8/yL6/6He/lVkDSu4YAYvPYb5ey4olv+6RTG8WyKLplkUN2qNlzd9Um7ltoh/9jKs8+bGvtWQi1MlzluLBfo4zhtYrwAo8Ufre4O1FlWPdKySi2eKS37nJdHVK5IBP3xQyiW22C8y9K/jmLebDYDQey91kkSo+w0bAEmeOD6OjqgrZDuP06N+0YyY2uotEPT3kSvo+dshId02od0DayFDgARAKB7yfk3XoyOFLYiABEAsCKpU6RsRkC9o8X0UBUDmdyyHSnk877DGK38VjQRdBF+590RUHI7cCaeuP0AQI6NF7RLh7M1HqDFJGwAxIytKzSH6cKbD+e1Hz1CrYHp0qJgDcePGEfZdTXDm1jMYu/KEqg6RHsdGARDHShyjTvDIYHl6+9bJhx4aRJm8+Vb/XmDoKjx5ruS4cdVFIysbdm6HMqie332knFbHXeqPGQEWADKtdUnNrDyzuH7kfnhGBJ48f4kCQ9kACCUk7B8iK0Cs3q09Z26hxY9sAlnqlb/9MwmAGNmH8atOYMaWM8ypnvpNbcRXT5xDXFPlNDgSRG1u//+cDyMaFmaKL9p/EQOcAECs4IIZ8McRLNp/SWHzhKZF0bx0VqYvxKfw4c/73nwrms1txzpvrutdFXkdeBJF98cmJ3qGIJ8IANFbBUDreBIAwkuiCyqUHj+2jZl4pzemRuRZ4JtNF733qAVW8DfbmOqTJYqPYyPFAJBN4VHoMGcfU1dIYAZMa/0WCFpy8BL6LNLXss6bujEY2TM9c+T9mp5oSVkrIiABECuiKnX6RATkC1p8G0UBEBEia/FVzZMk3o4iw9c4rZA+iC/c/q8vvcjIlz4p1vau9kaURyZ6fGRdEM+IbURGPUTtyVs0l9rcrzpypNEmDxex1V7m+ctXqDphE67agT2DQgqgU1Xn+Cso05FAFbUhkuHGK5tm+WkWAMLbP16c+9TJh54eDIDkHbwSz1++VrhBrd8OC/ba5cVA63cWQeWMNqVQ142knM74JOfqjwALAKEMvW4L2G0JzKr00m+xnGFFBP599hIFh7EBED0kqFbYF1t07j5zC+9rACCZU/iBLn/k0B8BFg+DTdOvH5VD5byel1Sk31PPnKFVla3H4g/KZ8OYxoHMKYv2XcSAP41XgCzqXAHUBtLM0XvhYSw9dFmhcnyTQLQsy67kbzRlO45cuvdmXvy4cXBwWB0kT5zAFPNY502qpqeqemeG6BmC+ProvKf1vcGyw4yzkjM+2s89c+MhamoQiat1HjBrbS09A5ccw297ldVHtjnzPiobXQES8h0bAKGzMp2ZRQaP1Dy4cAZMb/MWADECWHpTNwaRmDkjI+/XnImenGtGBCQAYkYUpQ6fjIB8QYtvqygAcmpMPSSMH1dcsQslRX3QMonIoM/ceCRsdZ50SbG+z1sAhFeG60h0GHH9gWYPVDJEhDxc2OD/Car1Py2UMTlW2rXz0quT5KdsjMCktadUp4qQffLKplk2mWE76eb1QufFpHftfPi0dl6emNt+zzlwBV4r8Y9oUE70oOGM8azsPHf3pHbGJzlXfwTe+X47jl1+e8Fi0zClVQl0X8BuS2AW0KnfYjnDigg8evoChTUSF4hwlIhH5bA2ArtO30LLmewKEAmAGI8/C/S3afzlw7Komi+t8QXkTM0I8FoEiYavZdmsGN+kKFP8970X8PmSY6LqFHJWcMF0m38QK45dVaw1ulFhtKmQg2mr2lnqiyaBeF8DNBF1/NWr18g1aKWq+D/dKyMwi3abXN46w5Ydxy8a3BO2+dSulriNtL43WGtR+6zO1ZxLFuP5Ifo7L4muZoF0mN2+jKg60+Q+//Moft93kamP3ntUAVL/u+1MGf+E8RA2KljIpvVh19Hxl/1MWcdKmAV7LmDQUn1/r1YkIwo554FC8n7NAzcllpkkAZBYtuHSXfEIyBe0eKxEwYNzX9QXV+piSV6mnYg5+dMnQ/j1ByKi0TIEmGzsW/2N/IqjVzUziiY1K4ampd723g2/9kCzByopXt+nKvKk0yYPFzb4f4KtZu7GztO3FNOc3d+v153CtxsiVM0RafUw5K9j+HU3O2uI5acjF4veeNjkeb3QeXo/rZUXvevk44m55Xetg2ei+HERPqae5XaxssIc/y4sN0Qu4NYINJyyHUftMkxtxnzfsgR6aPRlNgvodKvzcvE3EeBVbrqqMi22b8nO0zfRauYeZhgyBiTGroG1YnuYDPnPI2X++cOyqCYBEEOxFZnEaxEkooNkmpXKgonNijHFKdudvm+MDit40D7+ZT/WhV1XmDT8nULoUEmdxPvlq9fIrQJQmHXp/+zFK+Qbsko1TI4JYkZiKXqGIACEKkC0vjdY61P1yCfVPQMA0Wq7TPZXz58WczuUNRJKp+aw2q/ZlFLbW2px2eB7NgDilyAeTowWA0DWhl5Dp3kHmDY7VsLM23UOQ5eF6vLRimREXQZ4kLC8X/OgzYilpkgAJJZuvHSbHwH5gubHyCbhCwBI1IMnqDN5K+79+1zccQdJyjAOvaIk52UpzJkmCTb1ewuALNx3AZ/9yT4EEfhRu2C6aFJB6nUbduW+Zgkwrbu2d1Xkc7IvrqP9rBY0Z8eHIE4c4zwgk9aEY8qmSNVwifA88PrGsvbBLACE1wud92BR+ytqg+WJQ+vgSdQvZ8ZbD272W3wEfxxQ9qQe+24RtC6X3RPDJm2yIAKOLTZsS3z7fnF8+vth5opm/Z1b4JJUaSAC9588R9ERa5kzA/wS4MjwIAOa5RQ9EdgReROtZ7EBkAzJE2P3IAmA6ImpTXbUP2GYveMsc+qcDmVQQ/JfGQmt0BxeiyAhJQDeLZEZX7cozhQ3klFur2xBx3KoaDK/Yvs5e7E5/IbC5sEhBfFxVXUSbxYvk1k8IFptD//oUgGlczjXBkz0DEGcLiWzp9RNhE3BHBCcH12r5xF9dCyVO3ntviaPRpW8aTDvo3KW2qCmnPWtb5Od0/4/AOSdKWwARE9i1prQa+isAYDUKpAOP9lVwszZcRYj/wnTFRczOGp0LejBwvJ+zYM3J5aYJgGQWLLR0k39EZAvaPGYsS7EHTU4WyEgbpExyRsPnoJ6e646fhXHLyuBjMQJ4qqSQNtWK5Y1BY5cvKtrcSoxvvnwKRoWy4QXr17ji1XqHBj2Sqmn7ujGRRCYOUAzA4bmrO5VBQUyONcX19GhahM34fwtJdfJydHBSJwgni7/7YXJ9+lbTqvO/6ld6Wiyda3B6xvLmutIRm/UAV4rEJ7eHjXzoG9Qfp6YW37n9ds/My4EcQkJsXD0/O0Q/j5yRbHCsAaF8GFl9YxEC82Rqt0UgUZTd6i+Z3kAiFl/525yWy7rEAFKVig2kg2AJEscH8dGiPUAl8E1HoHtETfxwU9sACR98kTYM0iS0RuJMI+UeXb70qhZQPu7yMi6cs5/EYiMeoDak7c6HY53imUCVSiyxvw95zF46XHD64hUSOtVzqr01qpgYIHSZgEgD548RyAD9DajDRi1NSIwyspB1SPdangGABJ65Z5mG6nKedLg146uB0D6LDqMJQeV/DO2faHzYNpkidBwyg7mViWMFxenxopVpq8+fhVdfmXzx9XInxZz7CphZm49g7ErT+h6TKw4i+sywIOE5f2aB21GLDVFAiCxdOOl2/wIyBc0P0Y2CR53BcklSRgPoYL9OMVXtkaSQAy6ZHMc1FP08bOXqotS4UOJrClw8II+AMSoB2mSJsTMtqXx7rSdmipW9qyCQpnMBUBKjFqLO4+VlTL7h9SOzsoxOrT6XU//oBSCi2TQVD1wyVH8tpfdN5Y12ayLUV4rEF5cutfIg351PRMA0Tp4kl/hY4KRKL5x8IsXG/r9k18PYNXxawpRT2opIOKHlHEuAiwA5JsWxdFrIbsChFoUruld1bnF5WyPicDdx89QfNQ6pj3JEsXHMUESVI9xygsN2RZxA21+2su0nC6q9g2WAIiRreWRMoskhhhZV875LwIibWZFYhUSmAHTWr8lUXacM2/3eRCHndFBpNBV8prLBdNs+k7sO3dHYVLfOvnQo5Y6V92th09Rasx6y77RtN75v35UDpXzpjEawuh5Rs8QehbtF5QP3Wt6Btff8cv3NJPoKuRKjd86ldfjnimyvRcextJDbACEzr7070pjlXO6zYAE8eIgYmyIkD1qvJb2E6nNILUbtI0fNp/Gl6v5yYr2Olb0rIzCmZzjqBFyxguE5P2aF2ySj5soARAf32DpnvEIyBe0eOxev36NSWvDMXPbWRBXAFUyOA7Kzm1UPLO4UjdKUkVGaZWPeC2T4sWNg5LZUqgeGKxyZULTohjwx1FN9ct7VEaRzOZ+dOUZtFJ1j50ledPKdiSC4wZFM2n6yiPOY002CwDhtQLhPQddq+fGgOACPDG3/M67bCQSdCJDt3J8NHcfNpyMUizRq3Ze9Krtma3DrIxHbNVNh97DKpV2k5sXQ59FR5hhyZc+Kdb2rhZbw+Zzft959AwlRrMBEG9KuvDmzeElwFBSBCVHyKE/AjxSZroIrFNIVoDoj6zYDJE2syKaaI9or1jDCKeAvS4ruGBYiQZaXHXX7j1B+fEbFG6alaSidTYTaZPL2yujZwieXvvfqc0ttbv1hMFK9rPZVi5nKizsXMHlpn76+yEsO6ys9rYZ8mObUtEAiFYCIJ3JT48TA0CWH72iSWjv2Ars+w0R+GrdKV1x+bt7JRTNkkLXHF8Vlvdrvrqz3uOXBEC8Z6+kpS6OgHxB6w849X8l8OPoxbtoN2cvnr/8DwghsjgiAEsQL65+pW6YQYBOzoErda1M5bYlsqXAnrO3dc1zRnhUo8IYxiFiM/uji9Xjl/xwFmyhDDjKhFMbIgAajziPFWuzMsN5mbC8vSZiRDooeuLggYKHh9VBCv+Elpre5qc92BZxU7GGJ8fN0oDEUuUsAOSLJoH4XININm+6pFjXRwIgvvLYsLKNbf5RxWaYl1SdevOebA6PQvs5+5guULXq/iF1vNlFt9nOI2We0aYU6hbWrox1m/E+sDAvQ17URWp1O9uOQ8Bx3i+7znG/5bXWMuPy31F/yLfbEHZV2Qq4W43c6F9X/Tv14u3HqDJhk8JUs3gvrt9/gnLjlAALLWhGNZTRM4Toc0BynpSwc+jCHU0QoUyOlFjcpaIe90yRJXL5f1Ta3dqUU0cAAkDe+4HdAUEPNyG11qUWu6zh2Ars63Wn8O2GCF2+Lu1aESWypdQ1x1eF5f2ar+6s9/glARDv2StpqYsjIF/QzgWcMnRXHbsazQnxUZWcSJ44gXMKXTxbjdg9uHAGrA5VtuAh04hwrWS2lNh15pbLLKVS6klrtbNQ/upWCcWzmpd1cu7mI1SftFnVxwUfl0PF3MZL0LU4PCY1KwYigdca/RcfwWIVkmzehpgFgGw9dQNtZ7NbgfDs6FwtFwbWK8gTc8vvWgdPMohanNCBxMrRYsYuVYDxo8o5MbRBISuXlro9KALvTtuBQyqtBkc2LIzhf4cyLc2TLinWSwDEg3bSOVN4oCxxdp0cLdYD3DlLYvfsTeFR6KABgKRKkhAHh0oAxMhTwuMkEGkNamRdOee/CPAy5EXjVDVfWvxi10LHcd7PO89p/tvFW4dIoWsUSMcT0/V77clbEBn1UDFH6zuVRRpvFu/F5bv/otIXG1X9MAMMNHqG0BNYrQoaPXrMkD1w/o4miFAqe0r8+YnrAZBuCw5ixdGrTBd/aF0S6ZITALJLMwyivKPLDl/Gp7+z26dWypMa8zu+bQU2cc1JTN2kzlfJMujPTyqgVPZUZmyb1+uQ92tev4Ve74AEQLx+C6UDVkVAvqCtiqx36HXMyErpnwADQwoyW05RtikBINsjlRnqVnncqWou/Lj1jKb6JV0rRttl1tgZeROtZqkTnlJZcpAT2Yhahw/K7n6/bDZNN/otPoI/DAAgZrXG4WXC8vagc9Vc0c+YJw6tgyfZu2tgTWQM8LPU9CbTdqhy7HxQPhvGNA60dG2p3HMiwHoOBocU1CSmzJU2CTb2re45jkhLnIpA1IMnKDtWPRuYFFNSQvgYCYA4FWSByZtORqHDXHYFCH07HRoWJKBJijhGQCsphGTpIrBeYEYZOIsiwMuQF122Yu7UWPAxm0th7o6zGPFPmKg6hdzs9qVRs4C5rdCqTdyE87ceK9bSSjhhcaaYBYCcv/UI1SaqJ2BNbVUS9Ys697dg9AyhZ+N61syDPkGewfW379xtNJvOBhEoeY6S6Fw9us4/gJXH1JMNyRbaawJAtGwnubPjQxCHCDo5469DlzX54xy5UMavOoEZW7TP3o5LLupcAWVzSgCE4iLv13hPpPzd6ghIAMTqCEv9XhsB+YL22q0zxfCXr15jwd4LoA8jauEwOKQQTl67j07zDqjqJ/4DaoGl1qLHFINUlLQonRUL92uTfpuddbJ4/0X0Z/COUA/+JiW1qzS0YtFn4WEsYRDfjWlcBB+Uz64Zyj6LDmPJQTZxHmuyWQAI7yKI9xwQoDXIQwGQC7ceo+pEZWsDm09b+9dAttT+PBed+r3B99tw/LKyJUOzUlkwsVkxp3TLyd4TAWp7QJmLjoMuWSauCWc6kitNEmzsJwEQ79lpbUuj7j9BWUY7FJpJbSlPjZUAiNX7veHEdXz0837mMin8E+CwBEAMbQOPk8CMS19DhsWSSQfO3+ZmmYuEgi4+6QKUNWZvP4tRy40DILPalkZtk7lgKo7fgCv3nihMbl8xB0Y0LKzqCqtlmFkAyOkbD1Hrqy2qa4u0yeXtldEzBE+v/e89auZBXw8BQPacuYUWP+5mml8sSwCWda+sxz1TZLvMO8DstkALECdkumSJ0XyGdgXImXEhiEu9sDhjycFLmvxxjlwoY5aHYdb2szy1MX7/7ePyqJA7ta45vios79d8dWe9xy8JgHjPXklLXRwB+YJ2ccC9YLntETfxwU/q1Q/JE8dHyewpsTn8hss80WrJZTNicZcKKJPDvKyTb9dH4Ov16m23iJOkbYUchv2nHqzUi1VtjHinENpXyqmpWwtA0ZpoFjfAxpPX8eFc9kUQLzAdK+fEEA9t5cRqbWDziTh+cqdNynPRqd/rfr0V4dcfKHQ0LJYJ37Us4ZRuOdl7IsACQKi1hFZf5pxpkmCTBEC8Z6M5lrIId23TEsSLg4ixYiSoPhMUNziyPuw6Ov7C/nePvo2OjqjrBsu8f8nP/jiqmeRCF4ENimbyfkc91IO9Z29zL1lFTOe1Evpp+1mMdgIAcbb6Ws2H0mPW4ebDZ4qftCpuD164gybTlLwMRoi/iYvx+v2nSJcs0ZtL7FPXHyDo662qIXc2AYuUGj1DiDwDNhktDhU9esyQ3Xn6JlrNVD/Tkv7AzAH4p4frAZBOv+zH2rDrTBfpe5+ei/c1wBuaHDm2HuILcI9S5wCq/mGNsjlSYVGXtwDmiL9DMXfnOV1bML9jOVTKY7xFtK7FPFxY3q95+AbFAvMkABILNlm6aCwC8gVtLG6+PEurXyq1eSCCs40no1wWAiqr33lam3NkYafyKJfLvKwTrYxEZ7O8tMqeh9QviI5VcmnGttfvh/DXYXUARWuiWdwAvIsg3oPhyVwWEdcfoA7j4El+relVFfkzJOO56NTvNSZtxtmbjxQ66hZOjxltSjulW072ngg0/WEn9qtUgHxSPTd+2Mzuy5wjtT8296/hPY5KSzUjcPXev6gwXr0fPE2MHzcOIsdJAMTqx2hd2HV8rAGAJEscH8ckAGJoG3icBHQRSAkAclgTgV2nb6HlTHaGvOiqxbKmwDKNVkKztp3BmBUnRNUp5Mzgv3BUWnTEGtx/8kKx1vtlsuKL94qq2soCjPRWPdD3JlWVXbj9OLoCf1rrUtHtg8Ku3EfId9tU157QtCial85qOIY00egZQs+iXavnxoBgdRJ5PXrMkN0ReROtGS2NSX+hjMmx8tMqZiylS0fHn/dj/Qk2AELVPlQBwvvbjBhbDwkEAJBF+y8y21uT4aWzp8QfdlwoQ/46hl93X9DlE3EAEReQHLIFlnwG3B8BCYC4fw+kBR4aAQmAeOjGuNGs+0+eo9TodXj+8rXCiiQJ46FC7jSaH21mm144U3KEXlG2BLJfx+yy2zY/7WG2+epSLTc+r2f8w14r64f0kn6t8envh7DMjQDI2tBrzBZpInvfoVIODH9HvbWAyHwrZU5cvY9636ofPGnd5T0qo0jmACtNiCa/JC4Sx1E9f1rM7VDW0rWlcs+JAAsA+bBSTsz+/17qrJE9tT+2SADEczbSSUt4vETU+eLM+PpOriKn8yKwJvQaOjNag9LcZIni49hIWQHCi6Pa730XHcGfBy8xp5rR9seIXbFlDu+CWDQO9K2+oif7ItlZAGT6ByURXMQ5/gtHXwoOXY1/n79UuNi0VBZMYrQcZcVLL79doynbceTSvTdrp0maCHsH1Yo+77wzZbtq2Mc3CURLDk8gb7+MniF4eu1/d/acpGctnuzWUzfQdvZepliBDMmwuldVnhrTf/9o7j5s0Egm/LpFMaRPlpjJR2kzKHxMMBLFj8e1b9G+ixjw51GmXMlsKbCk61suFF5rQjVFczqUQY386bi2xAYBeb8WG3bZs32UAIhn74+0zo0RkC9oNwbfg5fWOpBSJvqaUHbWitluZUnph0t3lBfC9uuYXXZb66vNOH1DmYVPazpLRq310dsvKB+618yrGUKtFlpaE3OnTYINJpAj8y6CePuv1VuZN9fq31m9nW3rLu1aMboCyspRZux63HjwVLEEj2DUSpukbtdHoNn0ndh3TskBQu8fray8rKn8sG1ATdcbLFe0JAKX7jxG5S/ZvETEfXpWAiCWxN5e6erj19DlV3VuNJIjfrTjEgAxtA88ToJvWhRH4xKZDemWk/gR4F0Q8zX8J8G7SP5x62mMW3lSVJ1C7ofWJVEv0FwAJPeglSAuRMfRuHgmfPO+esvRTeFR6DBnn2KOnuQeSjQrOmKtQgfxGcaNEwfvqrTYIuHRjQqjjRMteElHj98O4R9GG17Dm+MwsXO1XBhYr6BZ6pzSszk8Cu1V9sum1Cx+RL1GdpizF5s02klTu7P0yRNrVq/QmidHByNxAj4A8vveC/h8yTGmmY5k8NQui9pm6Rk/tSuNWgXT65nis7Lyfs1nt9ZrHJMAiNdslTTU1RGQL2hXR9w71rv18ClKjVmvMDZ98kTRHzcL9qiXxWYKSKxKKOiM19RbW61E3V7nvI/Kokpec8puqSdvoWFrVLPCaE2tg5GIn+1m78WWU+ocKr1q50Wv2vk01XRfcBDLj14VWSqGjFkAyOrjV9Hl14O617dNaFchO0Y2KmJ4vpUTD1+8i8ZTdzCXMJtrRm2h4qPW4u7j54qfeP21rYyL1O36CLAAkOals2DRfvahlADj7Z9JAMT1O2bNihdvP0aVCWwAhFY994WsALEm+m+18v7d808YD2Gjgq02wyf19154GEsPXWb6ZgbvgU8GziSnWBf6etXz2qzO2HIa41cZB0CmtiqJ+kXNA0AI+CAARG00KJoRU1qVVP2NVQXdulw2jH03UChsUfefoOy4DQpZAnnSJkuEptPVia+Hv1MIHTg8gTwDjJ4heHrtf+9UNRcGhXgGAMLjLeQ9t3r81iOrdRYkPVSBlCF5YiYnp22tE6OC4ZeQD4DQuX3QUjYA4kgGz3svq/lqRZs6PTH1JFl5v+ZJuxE7bZEASOzcd+m1QATkC1ogSLFU5M8Dl9DXgTCN2vBQn9tm03dBJWkKlfKkxo5Ibb4OK8L584dlUelu/IAAACAASURBVM2kvqN3Hj1DidHrmGbWLpgOs9qVMexG61m7mTHqXiMP+tXNr6m724KDWGEAAMmVNgk2mlABsvLYVXSdbxwAaVshO0Z5KABy4PxtvPeD+sGTNmVBx3KoaDHBX+Fhq/HombIlQ5HMybG8h+v7FBt+0OVEpyLw7rQdOHThrkIHAbBaHECZU/hhx+cSAHEq+B40+cKtx6g6URsAOTs+BHGoFEQOyyKw6thVfKLx755fgng4MVoCIEY2gNeShy4CqSWRHNZEYMOJ69FcFM4OHv/U9C2n8YUTAMiUViXQoKh5XDBPnr9EgaGrVd0OLpwB09uUUv2Nvr/pO9xxUHLChKbFhMJ47d4TlB+vDoCkTJKQSXwtwhPIM8DoGYKn1/73j6vkxOD6hfRMsUyWx1uYK00SbOxX3bL1WYq1Wi3THOJ7IQBEq30XyYWOrIskieJz7f9193kM+es4U86RDN4IUGZFlRbXMQ8VkPdrHroxscgsCYDEos2WruqLgHxB64tXbJKmSgjKFvlt78Vot4n/Y17HciiZLSWWH72CPguP4NnLVzFCQgThE9eEuzxMvL6j9/59jqfPX4J67MalpukaI/TKPdT/Tr3/Lk0jksJFnSsY9rHFjF3Yc/a26nyRsvFu8w9ixTH9FSBmfeSzDn+iAXG2hZjoOkbk9py5hRY/sslAzQTaWPblHbxSlX8nb7qkWNenmhG35BwvjECD77fh+GUl91FIYAasPHaN6ZEEQLxwszVMPn/rEapN3Kzp1OlxIYjH+XfNt6Liem94/+4lThAXJ0fXc71hPrAir63nxKZF0cxJ4mcfCJNlLjjL62YzjFd9+MPm0/hytfEKkO9alkDDYuYBIKw2VORP7YLpMatdadWY/3XoMnotPKz4TU91OKuyjy6Qk/slYLY9EuEJ5D0oXecf0PyG4M0X+f2jyjkxtIFnACC8tr084E7EXyMyH8zag+2RN5lTv3wvEBkC/ECVIlqDWi9SC0bemLfrHIYuC2WKOXL4fPLrAaw6zv7WVFNkNkjJ88mTf5f3a568O7HDNgmAxI59ll4aiIB8QRsIWiyaQiDIwQt3ojk4KuRKjXTJE7/xft+52+ix4BCu3X8S/d8oQ69ZqSyaF8hWhW52+9KoWUC97+js7WfxxeqTePbiVbQP37YsjnTJ3vrhaNO2iBto8xP7g7NQxuRY+anxTHwWuTHZ0bFyTgzhHBqMfJSSbrMAEOodTD2EjQ49bQKMrmF03s7Im5qEg1b3t6W/t5wD1VsyZEvlj60Dahh1Tc7zsggEf7MVJ689UFhNFWjrT0QxvaE2hDsH1vIyb6W5rAicvfkINSZpAyCRY+shfry4MogWRoCSProvYP+7lzB+XJwaIwEQI1vAyzSe8F5RNC+T1YhqOUcgArz2bgIqokUyBiTGLo1/e6ZtjsSE1cYTpL59vzgaFTePC4bV6pd8oWr3uR3Kqrq+eP9F9P9DSSZdPzAjprZWb5vlqCgy6iFqT96i0E8AiH+i+MxLbxGeQN5+GT1D8PTa//5hpZwY9o5nACC859tdvGmtZu7GztPsjglfNAlE+oDEqnwz9rE+OiIIyRMn4G7PL7vOYZgGAFIwY3Kssjvbdvx5P9af0Mf3afbfKNcpDxaQ92sevDmxxDQJgMSSjZZu6o+AfEHrj5mc8TYCT1+8xO4zt5E6SUIUyRyA/eduM3vXsuKWKH5cPH0Rs5JEb4xntS2N2oWUAAgRyFL/9Nd2HIedq+bCQI3etMsOX8anvyuzu2w2OXsR3WjqDhy5qGxtQ/pFCMK7zDuA1aH6snJId840SbDJhDJvXnx4e9eqXDaME+yTzNNl9u88MtDpH5RCcJEMZi/7Rh/9PeUfot6Sgfh39gyqbdnaUrFnRaDWV5tx+sYjhVFV8qbBtgh21iC1TNg9SAIgnrWbxq05c+Mhan6lvCiz10gX73QBL4d1EeAB/wnjxcWpsRIAMbIDvKpWugh8v2w2I6rlHIEI8KqbBFREixB3xb7B7G+UqZsinaoQ/6ZFcTQuYR4AwmpDRb7Qv7PzPiqn6jqLS0GrasRRUdiV+wj5bptC//QPSiJBvLjMlmQiPIG8/eo8bz/WhOq72ObpdPxd5CyjV6dRed7z7a6q2fd/3BV9fmYNOicRqNhh7j5N148MD0KAHx8AmbvjLEb8E8bUVSBDMqzuVfXN7zySdjVFX7cohndLyHaFFBt5v2b0L1bOMysCEgAxK5JSj89FQL6gfW5L3eoQVYs0mbZT1QYimqOsJ8eRKklCUO9RFjG4iEMs4rUxy8Mwa/tZhQot0tifd57D8L/ZZcJk78GhdUTMUpVhtbYhYZHqCKOHF7MAEFb5v2hAWpbNivFNioqKu1Ru08kozcPG9y1L4B0TWzA4Ovfw6QsUGb5G1eeU/glwaFiQS+MhF3NfBKpN3ITztx4rDCiXMxWzhR4JS6DMfXtmxcqsTGH7tcLHBCNRfD4JqhX2xRadPOA/Qbw4iBgbElvCYaqfvJY845sEoqUEQEyNub2yv49cAbUhc3bwvlGmbIzApLWnDC8zuXkxNClp3uWqFr9S+Vyp8Hsn9Va3rDMC8RBSm1SRQUlQlAzlOAgAIT6nzvMOqKohDsa+Qdo8gbz1O/2yH2vDrAVA2lXIjpEewvXHA695lUu8eBr9vfmMXdjLaIdMOsc0LhINgPD4eQ4Pq4MU/gm5ZlA3hFHL2QBIvvRJsbb32za7PI4StQUlX9PbqMj7Ne4jKQUsjoAEQCwOsFTvvRGQL2jv3TtPtPzwxbtorPJRT7Z2qJQDc3acU5hNFSDLuldC118P4sxNZcaziJ90aAguklEh2nDKdhy9dE/x36kKBHH+q7jIGOAX4/dv1p/CN+sjmMvSRQdl3BolnWW1tqEF3y+TFV+8pw0OfPzLfqwzcHgxq8/t0kOX0HvhEZFtUZUR8dGwcicnUlwpvqxhdXbT7UfPUHL0OtXl/RPGQ9goSbLr5BZ7zfRKX2zE5bv/KuwtkS2FKjm6TTBdskTYq5GF6zUBkIZGRyAy6gFqT96qGY2To4OROIEEQKx8ZHgACHGwEBeLHPojwKtqHftuEbQul12/YjlDKAK8Z1tICYBkiePj2Ii6TPHvN0Tgq3XGAZCvmhXDe6XMA0C0wOUyOVJicZeKqr7M2nYGY1acUPxGLXZ/61ReKFzUQrjZ9F0KWUqyoXdJ1/lKknUS/qR6bnwWXEBoDZaQ0TOEnkXbVsiOUR4CgPCeb3cljTSbvhP7zt1hhnV0o8LR59OOGmcSmkwJeZSYxxus59Y2j5IU19vxDLb8cTd2nWG36FJbT7YrfBsVeb/GeyLl71ZHQAIgVkdY6vfaCMgXtNdunUcafvTSXTScosxqImNnti3NvFymigxq/7Ml/AY6MTKftBye1rokQgLFARCbrmSJ4mN932pIb8dtMuLvUMzdqQRq7Nd35sKpzuQtiFCphCH975XMgq+aF9PcWyN9WUlh9tT+2NLfeQ6JPw9cQt/FxgGQ5qWzYEJTbR/d9XDzegVPaFoUzS0kY71+/wnKjdug6r68YHPXU+GedcuOXY+oB08VixNRZegVJTm6TZDXhsQ93shVjUbg1PUHCPpaGwA5MSoYfgklAGI0xiLzeJWPxEF/Znx9EVVSxiECvIx0yoT+oLwEQKx6cJYcvIQ+i4x/09ns4iVpfLchApOdAEAmNi2KZiZ+f524eh/1vlW2oSJ/imdNgb+6VVINOYvLpHT2lPjjE3XQxFHRjsibqkTnVOVCfE6sipyPq+TE4PrOcWt0/HmfJo+YGc/ZB+WzYUzjQDNUOa2Dl7SVJmki7B/i+vay7/2wEwfOswGQUY0Kg1qa8s7EB4bURuqkibhx4gEgudImwca+1d/oaT59F/aeY7foUltQVuu9jYq8X+M+klLA4ghIAMTiAEv13hsB+YL23r3zRMuPX76HBt9vVzVt+2c1UPnLTaq/2VpSXbz9H2eH3jGlVQk0KJpJMa3RlO04olIBYi/Yt04+9KiV981/+vT3Q1h2+IqmCfSxTB/NRgYR2hKxrdpoVDwTvn2/hKZao4cXswAQFgGkaCyalcqCic08EwDhEd1anYnKe/4l2bHoU+b9ciVGrcWdx88VjuRNl5QJoJKwuw7z3h9xz/Qg/NoD1P1GGwAJHVkXSRLF90wHfMQq3iVanDjAWQmAGNptXkY6ZUK3qZDDkG45iR8BZ7/pbCvweHB41dU8S81OQNFK2KK2vP/0qKxqEgvIKZolAH93V5/jqIjVbpX4bhIliMussqZK+uHvFOaFSvP3j+buw4aTUU7p4E0WaefL02HW738cuIR+GklbxGF5wIm2xkbtfHfaDs1q3hHvFELGFH7Mdmi2dYl3hxJfeOPHracxbuVJpliuNEmw0Y4nkmefmiIJVr+Nirxf4z2R8nerIyABEKsjLPV7bQTkC9prt84jDQ+9cg/1v1MCIHQwoqqJXINWqtptA0DuPn6G4qPUWwBpOfxdyxJoqMLNIAKAkF57TpC2s/eCyLC1xuZ+1ZEjTRJDe1BlwkZcvK1sbUPK6hfNiKmtSmrqVevLSn1ir957ojnPRt4e9eAJFu+/hLhx4oD4OER6x9orXrT/Igb8cdSQ7zRJpMrFsHInJ/JK5Uc2LIx2Fa27iDl94yFqaRAey4tOJzfYi6YHDl+DB09fKCwmIFONG8Qm6K7DvBeF1qtM1cpStjlyfGRdJJUAiKX7KlL5qMUtZqlxXq6cl9Rh9b+7Xh4+p81fuO8CPvvzmNN6eFVQX687hW83sNvL8gz48r1AtCiTjScm/Pv+c7fRVKUNFSlwJIS2V/rV2nB8vzFSsY7WHEfhNaHXVC+2Ceyjdob9Gd/YZrSWMkJuLRzU/wkSZw9VA3jC4J1ZUvgnwGE38OsRBwxxwbDGsAaFkClFYnT5Vb0dmm3e3sG1kC5ZYm6op285jS9WsQEQxzbJrBbSWgtR1UpbCVZHh0jer3EfSSlgcQQkAGJxgKV6742AfEF77955ouWsyxrbwSDH5ytUzbZdHDx/+Qp5B6/S7dq37xdHo+KZFfNEP+DsLy5E5izvURlFMgfotpMmVBy/AVcYYEXdwukxo01pTb1Npu3AwQsxP5prFkiHjZyMLgJA5ncsF028SFwTNIgvYHWvqkL9Y21GOXtYblIyMyY3L24odlZP4l1yDalfEB2r5LLMDN5lp2ivX8sMlIpdFoECQ1fhyfNXivV4YCf1gqbnRA7fiEDYlfsI+U69TYvNw6MjgpA8cQLfcNhDveBlEZPZZ8eHGOYG81C3XWLWh3P3aX6/UCZ0+0o5XWJLbFxkwZ4LGLTUeQCEYndmXAjiEhKiMqj9FVVPGB1mt9fZefomWs3co2oOVVqus+NDsBcav+oEZmw5o5iXO20SbLBrIaTlJ4uYe2iDQkiSMB4+X6K+H63KZcO4d50DFtrP2YvN4dpJXkb3yDaPkqvGN9HmM3R2DdH5v++9wIwn6UieOD6OanDXiK6jV4531qTzRuYUfviEwQdjW2/PoFox2jiz7GC1brPJ25LkbP+b2sPRmUTPINDmw8ryXU0xk/drep4cKWtFBCQAYkVUpU6fiIB8QfvENnqME6x2HfUDM2Jq65L4dn0Evl4fkwTR8VK54NDV+Pf5S10+Ud/cJiWV5Ig1J20WIla3B0C0KjRsRi34uBwq5k6jy0abcJmx63FDpbc//V67YDrMaldGU68aiXrv2vkUcXVUkjWVX3T1hSPBu94P1t/2XsBAxuFMJCBNSmTG5BaeCYAs2ncRA/5kV7cQ+SSRUFo1tFoy0Jq7BtaMJkU0OqLuP8Gzl6+QJaW/URVynosikGfQSrx49VqxGlV43PofgKlmSkr/BDjkhmxGF4Ul1i2j1VbSFowjw4MQ4OcbAMjNh09BXEg5UifxqLZeIm2CtC5/Y92Dq8NhXka63m8UHUtLUQDzdp/H0L+OmxKLiLH1kCBeXFVdk9eG4zuVygnRheninwAAs8aWUzfQbvZeVXU50yTBJrt2QPZCo/4Jw+wdZxXz6Bt724CaQuaxkm3oG5PI5Icw9qNF6az4sqlzwIJIlbuQExpCZtjprA22+TyAj6onqYrS1aPB99tw/DIbYBgcUhCZUvih2wLtChDRc8HUTZGYuCac6WaWlH7Y/tnb5zfo6y04df2hrrBYnSSmyxg3C8v7NTdvgFweEgCRD4GMACMC8gUtHw0zIxBx/QHqqBC29qyZB32C8oMuYIO/3famAoEI3v7uUSlG+a4WQMCydVKzYmhaSgmAsProO+qxv7hgtZ6xn/Njm1IIKpxBM3SRUQ8x/O/juHznX9QumB696uSLblNScvS6N/47KqiWLy1+/rCspt6qEzbhwu3HMWS+aVEcSw9dBh3oWIM+bi/dUW+9pad1B+8wwXueGhfPhG84PCc8HVb9zvPNkS/GbDu0WjLQWlv6V0f21Ppbr714+So6A46ymGlQxdC01iWjWy3I4XkReP36NXIOVG8XSO+QhyqtsWxeuKudg+dF0TcsEgJAhgUhwN/7ARAiGv98ydHoyieqdKJ/1yvlMZZoYPbu89qo0Hqnx4UgHiP73Wx7fEkfXUJrfbvISzVrd/vnnecw/O9QUxY5MSoYfgnVvytYraNEFzabX2Bd2HUQ/4za0AIzCCwi0Mhx0Hlm96BaQu6wEon61MkXDWaz9sOMCmq1NrpCRusQal46CyY09QyuPx7A558wHsJGBevwzhzRkG+3IUyjwmJQSIFoAKT7gkOaC+78vGa0HG9M2RiBSWtjJiDaz6Fqkx2fvwVARBMI7XUMrFcAnatZlyTG89GTfpf3a560G7HTFgmAxM59l14LREC+oAWCJEWEI3Dq+gMEqQAgdEHfuMR/Laqo/RJdJsSLEycatEiZJGEM/TW/2owzN9RJwlmGqJEjvnr1GnkGr4RKErVCjY1ETrQFF6vixKaYLpyJ8P3a/be8HJ2q5sKgkIIoOmIN7j9R9vanuZXypMb8juU14116zDrcfPhfCyvbIEAmX/pk0ZUZB87fic7ydxxmASC/7j7PzE4TeVBEiN5F9Fgh88uucxi2jH0R0LNWXtAB1aqh1ZKB1lzbu2r0Pusdq49fQ5dfD8SYJtuK6I2i6+SfvXiFfEPUWwESn5La37fNOne1c3BddGLXSryqMIrGoaF1FP+OeluUnr54iTJj1sf4t9EvQTxQtWWJbCnd7o5I60et7He3O+DBBvAuZCUAYu3mzd5+FqOWh5myyLERQUjGaMc3cc1JTN102vA6oxsXQZvy2Q3Pd5y48thVdGW0FyIAdtdAdTBj4JKj+G3vRYUdetpPsr41e9TME83LN5qxH2Z8P/P+3swIMJ3tCMD2hMH7rk8UPy7Cx9Rzualq1fz2Rnxer0B0C6wev2kDINs/qyFU1U3t56gNHWs4PvNqyXa8IA0Izo+u1fPwxGLF7/J+LVZss0c7KQEQj94eaZw7IyBf0O6Mvu+tzWqBtbJnFRTKlFzIYVHicntlauSIegjV/+leGYFZAqJbU1EFCm/wiN5YF9mRY+uh2Mi1ePRMvcVXuZypsLBzBc3lCw1bjccO84nbgzJlKXOcxopjVxVZQ/Qhffmu8xUg83adw1ANkIAXu3eKZcL3LUvwxNzyO+8igNpfUYsCq8bm8Ci0n7OPqd72nOpdnwUq6qn80bumlDcegcfPXqDQsDWGFFD7jGNu6GdtyFg5iRsBIkkl3iat4QvcQCw/qaXb0q6VkCON/so3bnB1CPD6yJOqU2PqIWF89fY/OpaKdaK8C1nKhO5UVWYVW/VgzNp2BmNWnDBF/eFhdaIv8NXGhNUnMW2zcQCE992t14Flhy/j098Pq05LmywRKDFKbfRddAR/HvyvmtZ+JEsUH8cEWymxYt65aq5oTr7xDLLq+kUzYmqrknpdjSHfetZu7Ii85ZQO3mRqt/tVc88AQOb+f7uyEf+wAT5KKjk11vMAEAIT6NzGekZte7BtQA1kTcVva/vN+lOKFsj2+5g+eSLsGfT2ma/0xUbmmZG1//2C8qF7zby8xyNW/C7v12LFNnu0kxIA8ejtkca5MwLyBe3O6Pve2i9fvUbZsetj9KjPntofG/tWF24NYeTjXI0c8ezNR6gxabNQkGe2LY06hdKD1cLLUUn/uvnRrQY7y4XVa5XI05v8sBOU4a02SmVPiT8/qci0mapacg1StsZZ0rUiStplya44elXRN9YsAISXTcULeIOiGTHFyQMcbw2jv8/cegZjV7IvAj6ukhOD6xcyqp47T6slA03+o0sFlM6RiqvHUSDH5ytU50gARHcoXTLh3r/Po4FSI0PPJYwR/XKOayNw6MIdvDttp+ai+4fURpqkiVxrmMmr7Tp9Cy1n7lbVGlQoPX5sW9rkFfWpE+G+Ch8TjETxZVtBfZEFeN98lAndRbZV0RtWYfkZW04zL9yFlfxP0FZNrTbvy9Un8YMTAIjZVatabe20uLR6/nYIfx+5onCRwE8CQUUG64zQoVKO6Hc5i6shuHAGTG9TSmQJpkyrmbux87S1AIgncf39tP0ss6KGghQ/bhxEjgtxKqZGJvM4NuicSZX7PABka/8ayJaaD4BQ9QdVgbCGI+hHZ/koBl8lSwfxUX5aWwIgFB95v2bkr0LOMTMCEgAxM5pSl09FQL6gfWo7PcIZ6uNNRNJ0yU/96qn9Ve1C6YVt6zLvAFaHXhOWJ8Gx7xZB63IxS+NFLo5si4xuVBhtKuTA3rO30XzGLu7adBinQzlrsHqtUgbbyH/CQECR2iiWJQDLuldm6n309AUKD1dmhq/pVRX5M7xtjWQlAMLLpuIFr35gRkxt7VwGG28No7/T4ZwO6azRvmIOjGhY2Kh67jy1fbOfZKv04SpyEJAAiN6IuVf+1sOnKDWGX4mmZqW7CD3dGzHfXf3ghTtowgFAtC4dvSUyWtVvelrLWOXv/D3nMXipNlH0ydHBklfJwAa0/HE3dp1hX8hS1SVVX8phTQSmbY7EhNVscmQ9q+4eWAsZAhKrTvli1UlM32K8AmT4O4XQoVJOPeZoymr9TWtVUn7y6wGsOq48o8SJAxCfYBz6fzjj63Wn8K3KZfQH5bNFcyKyWhXVLpgOs9qV4anX/P39H3dh95nbTungTX63RGZ83aI4T8wlv/MqnGi7zo6v7xJb7BepPXkLiCuSNaiaInNKP/ReeETTNlFuQB4HT5qkCbF/SJ03a5UavS5GMqNIgKxuEyxig6fIyPs1T9mJ2GuHBEBi795LzzkRkC9o+YhYEYFLdx5HE3UTX4HezNR+i4+8IWsWtc0GYNjLbzoZhQ5z2e2E7GW71ciN/nULYE3oNXSeF5MrQc0GOqSMaRzING/4suP4eZeSJLFhsUyqmWM2RYUzJceKnlWYeqMePEHZsRsUvzuWQKv1Ns4UkBhX7r3lJLFXoqcSgNcmirdnIYEZMK21cxlsvDWM/s4jCeTtu9F1bfMIPOy1UL0lA8nMbl8aNQuIg4k2vRIAcXZnXDv/+v0nKDdO+XcuYkWShPEQ6gZCTxHbpIz+CBw4fxvv/aANyu8dVAvpkqtfOupf0T0z1HiK7C0JG1UX/gnju8c4ACLcV1oE0G4z3AsW5l3I8ipuvcBFjzaRVY1gxGgtPoLxK09gxtYzRtRGzxnaoBA+qmweAKKVzKNFjN3x531YfyJK1Q+qxh71Txjo33BK9ukTlE/1vcVqB0bk4RkC/JiZ+tXzp8XcDmUNx5AmtpixC3vOWguAmMFV4pSTdpNFKpzOjhcDrsyyifTw+C6Jb5AqQPos0gZANvWrjpwCLSInrQnHlE2RTBccEw20+CpZSrrXyIN+dfObGSav1SXv17x263zGcAmA+MxWSkfMjoB8QZsdUanP2QiM+DsUc3ee06VmZMPCaPf/2fn2Y8nBS9wPR5t8k5KZMbl5cYgQndKcxsUz4Zv32TwWrCoW6rF6/f5Tpm/50yfDmt5Vmb+fv/UI1SYq23o59oC3EgDhlZPzNk5PCT8R4xIocOXuE9QtnEGYR4ZnA+t3Xo/cFqWz4sumRY2q587TaslAk6d/UBLBRTJy9TgKSABEd8jcOoEA5MpfbjJkAxFHnxgdbGiunOR5Edh/7jaaTtcGQPYMqoX0Xg6AaPXjp11Z27tqdEKFu8a83ecx9C/tChB3gzTuio2z61LVLVXfsobsK+9shLXn88iR9ay+uV91Jl/PuJUn8KMTAMiQ+gXRsUouPeZoyv649TTGrVSv+NXihWg3ey+2nLqhqpvaKb2wq/D+tFZe9K6TTyE7ZnkYZm0/q/jvVDmRKUViJll8lbxpMO+jck7FgPf35pTy/032JK4/XmU3mXx6XIhwm2Yz4kM6qEUztWpmjV6180aTm1NSoNbY0LcacqdNyjWLx8GTwj8BDg8LeqOn8LDVTL5K1mJW8yRynfQgAXm/5kGbEUtNkQBILN146TY/AvIFzY+RlHBtBCavDcd3G9lZKmrWqJXG672oJ26K5H4JsGDPBa7DvDL0JtN24OCFu1w9jgK50iaJ5kthjbAr9xHy3TbFz46tN1Ydu4pP5h+MIZcxIDGuMipAaD6116Jy7Ewp/DQJ9Xjl5Dyn6xZOjxlt+P3cie+EesLbMtXixY2DnzuUReW8aXhLGP6dVyJuA8oML8CZyMsy/vb94mhUPLPu5SUAojtkbp2gh7/I0dDECeLi5GixPuRudVIuLhQBkbaMuwbWRMYAPyF9niq0aN/F6NaZrGG0+s0sf+ftOoehy0I11R0fWTe67acc+iLQbPpO7Dt3hzmpb5186FFL9pXXF1VxaVY7JnENbyXX96mGPOnUL2PHrgjDzG3KS3/RdQaHFMTHVc0DQLQqX+JSOytGWyS9HBpq1QXDlh3HLypV4kRyTln/M7aoV8pUyJUav3UqLxoyVTne35tTyv832ZO4/kQqnCLG1kOCeHHNcF1YR7WJm3D+1mOmj1o8igAAIABJREFUPLWTyprSD/3/YP+7SJO1/ubslfNa0CVPHB9HR9R9MyX/kFV4yuCrZBndqWouDAopKBwDXxaU92u+vLve4ZsEQLxjn6SVboiAfEG7IehySc0IaGVlsSaqlcbzLrOd2YYS2VJgaddKTBWVvtiIy3f/1b0EEcZv6V+DOU8tG5gOapS9ZN93ePXxq+jya0wAhFqR3XyoXn3yfcsSoAPZncfPkSBeHAxrUCiaE0VtGNkfez2ihLYHzt/Bez/EJP+l+BBARGCIFYNH0kktzL5rya78cdamOTvORnPEsMaE94qieZmsupeRAIjukLl1QsT1B6jz9VZDNiSKHxfhgkSshhaQk1wagT1nbqHFj+rk4DZDdn5eMxq49ubBAxiIP6st498kV/j9885zGP63NgBybEQQkiVO4ApzfGqNpj/sxP7zbABEEutau91mfis78tHZW86qehD1blBIAXSqah4XDA/4IT6PuCrfmnoBBDVelM//PIrf911UuF6nUHpkT+WvWh1CwmVypMTiLhVFQ6Yqx/t7c0r5/yZ7Etff9xsi8NW6U5puuYO/qcqEjbh4m31O7FkzT3QFiFZiADm1rndV5BWojuS1oEuWKD6OjXwLgOQetJLJV8kKJrWoo/O4HJIEXT4D7o+ABEDcvwfSAg+NgARAPHRjYrFZVIExaOkxXRFQK40f8tcx/LqbX83BW4guFB2zYAL8qFS4jirZ4evXr5F/yGo8e/mKp1rxe+YUfljeo3J0pQYRSVJPVvux9dQNtJ29N8Z/c/xopR/VABDiBnj07KWqTZT5c//Jize/Uf/j7Z/VVKxPAiL9dLUcr10wPWa141eAsDKCf2xTCkGFM+iOrcgEXouGekUy4IcPrOMv4cVWjetGxC8JgIhEyXNkWJVeIhYmjB8XpyQAIhIqr5DZfeYW3ucAIFp9973CSQAzt57B2JUnmOa6O7NUiy/AZvTREUFILgEQ3Y8cr2KW1UZI90JygmoEeK1x9IRtRc/KKJwpQHXK6OVhoMpso+PzegXQpZp5AAgv4YX+HaV/Tx1Ho6k7cOSieIW32jdrn0WHseTgZYVu4vjIkToJsw0wL/lKJLZqf2+E89h17hJRoynjSVx/vNa25Ig7+Jt4iXLEp5E1lR8++1P7PCzaHpJXgWXPH0fn2JwDV+p+Dtr/fyvqEQ0L657nixPk/Zov7qp3+SQBEO/aL2mtCyMgX9AuDLZcSigC/xy5gh6/HRKStQmpZYZ1W3AQK45e1aVHTZh67m6LuKn4ae/gWkiXTEk8e/fxMxQftc7wugSu3Pv3Oej/ftOiOGoUSPdGlxqwQbwiewbVjrGeGqFsnDjA69fiZrEybkX66WqtwmsfZpvLAgPK5UyFhZ0riDuiQ5LIK2fvYB/QRcEbHUvGEOWRsBvtgS0BEKM74p55Ry/dRcMpOwwtrtW73JBCOcmtEdh5+iZazdyjacO2ATU02xa61QHBxXnvPndfqPGq88jNI8OCEOAvK0AEt/yNWOOpO3BY40KZWsEQIbAc1kRg/KoTzJZLeldc1q0SimVNoTpt5D+hmLNDH7+fvaIBwfnRtXoevSYx5XkVKSxOn5BvtyHs6n1hOyiTv09QTGLo7gsOYrnK+aRSntTIlSYpiHNIbRTNEoC/u1cWXltN8N1pO3DIoUUvVX4/f6njgMCxQA/Xn1POCEyevO4Uk1TeNt0d7Qsrjt+AK4y2xGRX1+q5o/9dH7hEGwBZ3asKCmRIzo0E73m35497/vIV8g5exdXpKNC2QnaMalRE9zxfnCDv13xxV73LJwmAeNd+SWtdGAH5gnZhsOVSQhHYFB6FDnP2CcnahNQyw1rP2o0dkbd06VETpsP39xsjFODBgo7lUDGPko8i/NoD1P3GWPsax/VzpiFOkGpvKk3+PHAJfR0I8UhmU7+YvCFqAIjeQLBK2EX66WqtVbNAOsxuXwbE8XHxzmP4JYynCiRpXYhRlUyRzOpZhnr9tJcfvuw4flbpy2yToey8uR3KOrOE5lwe/03/uvnRrYb+CwAJgFi2ZZYoVmv/JroQkbBGjgsRFZdyHh6BnZE30WqWNgCytX8NZEvt7+GeaJs3aU04pmxic3+ZcfHnTIBEOMWoKjSFf8yqTWfWjC1zeRn1PWrmQV+HC+TYEhtX+MnLDNdjw5+fVESp7ClVp4z4O5RZ2SCyhtHvH5Zu3vceq6KrzuQtiIh6KGJytIzad2OnX/Zjbdh1hQ5qcZUnXTL8tle9er1QxuRY+WkV4bXVBNX+3tQq3Z1ZRJTrz5k1ROfy/m0hPe6o3is/bgOu3X/CdIOqnbKl8ud2RFjZswoKZeIDILwEL3v+uCfPX6LA0NWiIX4j17pcNox9N1D3PF+cIO/XfHFXvcsnCYB4135Ja10YAfmCdmGw5VJCEVDjubBNpHZPBTMmx95zt2PoIoLvDX2rwT/hWwJSvVlaLOPGNwnE9C2nFWR1rAqJbRE30OanmG2qhBxnCNkT3Kn1SS+cKTlW9Ix5IFoTeg2d5x1wZlmo6SWFzgIgNfKnxaRmxaKrfHaevgUqvadLfccLDi3CvnYVsmOkBVlGg5cew/w97LZplJ03v6NzBJRam8IjKTSaCSsBEKf+FFw+WYT3gWUU8eMQJ5AcvhGB7RE38cFP2gDIlv7VkT11Eq92mJedSu0gDw6t4zYfZ207gzEr2C26yLBDQ+sgpUPbSrcZ7EULN5yyHUcv3WNa3K1GbvSvW4D5O3GbHb98L/rbMH1yZVWuF4XCLabyLkb1GLWocwWUzZlKdYqzAEi/oHzoXjOvHnM0ZSmzngU00ER63zi2oaX/XmPSZpy9+UjYjtRJEmL/kNoxWua2n7MXm8NvKHRQ9Uy+dEmx+MAlVf350ifF2t7VhNdWE2w0ZTuOOPy9Udvbx4wWuUYWIy6TmW35rW6N6NY7R6TFmzvA67Jj1yPqgTovI/nYuVquaABk8NLjmi5rtZ2zn8j7+7Nvn/rgyXMEjlirN9RoWTYrxjcpqnueL06Q92u+uKve5ZMEQLxrv6S1LoyAfEG7MNhyKaEIPH72AqXHrFf9GKcPQuqPr9aSii7s/+pWCQni/dezl1deLGQMgOkflMTi/Zew4WRUjCltymfH6MbKUl+1Kg3RtdTk7Ksd1NpClc2RCou6xGwJtTb0Gjo5CYD8H3tXHWBF9f0P3d2w1NJdC0s3LKFfEQkVEBGkTECQlkZBQlBKEBRQSUWll+7u7g7pbn+/zyyzzJu5NfPe22WXOf/B3HvuuWdm58098fmgknxPnxCtQ8MoKoSCov1Wyp2GimZOTt8tO+IxzNzG3evPvVwYABywcdD2tfCIKfV1/LWurl8WiMDz3612Ptvb5iVAjgysHf73YlupO8FvHlAJevMWR0Lx+OC6frPNVRyxHlBJqKMDEJ2AUVlE73t9X/v6hlCieC+KHCJyvyoJEF7ANCLtjIprvTZ6De09x4cUAhRMl1rsBMiyA5eo3bTtGuca3n0orqhfPCAquiHSbJYFRu0YxuuMhg5Zx4VsnU41ctMn1XyXAOk0cxfN2c5ONMAWHsytjLuBtY91XasSOP504XWoo8Mjb/okNHeHlR8EcwPToCvcs+Nb5jfzdVbCMXG82HTn4QseQLs6zeNVoW69XUdlvgrEW2S8u3HORfKWJ+C9AgQWfhtFotoRL/v7AwzakYFhxTNOoZwbBQXQkAZFVG5LtB/jxtei/S1+6TfoJkBe+lvkGhhZHnBf0JHleXddkQdAONrvn/3hpHxoz36nVBYCBnDbadsJZOAs+en9IKqaN512KX/vRT6paPq9dWkCLNf4Vcc9liwTmIp+a23tBhiz8igNWXTIZzd4bvuyVDxLGKQAC8sWCYWfP/CEZfJFAgTrYe+lA1N57OW70CM0IvSw4/1VzJ2Gef/eKJqRvnu7WLheHkkkBqDSc6GXMACsDXwxaxfN5lTeYXzxLMlpbvtyjvcumygLAjolGOQlQCID91jmA/c6ae8buzCAut/A9XPCTYBEm8do1eF/qflP4o5CwCQGpkkcpffcedYubtWzvrHFn1ekPOmTRMo+ZSTtMApV3qkTx4sU+6LyonVHraF95/kJEEDBAObULCDqrTR0JZ2+di/8UtL4sbXK/djPC2Gisl8iynbZd4cdO375oBThG48l3q7ToXpu+qy67xIgn/62g/7adZ67vfVdq1JGQ9JCHyir3GcpRCFVrYIZwi81HLeetpy8bhmaM21iQhKEZ1fWVAlpVecqlnnbTl2jL2btpjPX7lFwYEotEZgh2YuEi3ECK+GIv5tbD3yXAMF6jYMyU796BShebM8iKjvPky/GDlpwgCas9jy/mfVu6VGd0iSJ2Hd3if5L6erdR9wttiqfnXC/e83bJ3TD3x+Xp0IBckhg2d+fsXsYiRkkaOzKW8UDaFgjNwECv7nxNbtPjzve1x5wEyC+9qirL9p4wH1BR5tbGe02cvzfO3Tq2j1KnSieFvRAey6E1zqOa1/WykvtKuegh0+eUp6e9vFLWU5E0AWkxJ1n7/a4jEAHAh5m8WU1HXRPbVmKKuQKO1CyYEJY5LBL91+iD3/Z6vUzwcJcHhl6mEaGenZv2FmIRyofkCIBrf2yariqNlO30uJ9VoxkDEAlHSrqfC0dZuykPziVd1jLnzj0W05eo4bjNgi3hCQgINnsCi8Bguf3zx3naNmBy1qrfYcauSl9MhdCxK5/fT3e27/fk1+7HSC+vieRpW/locv0voQTywiTGFl2eruuLBgJ/ZOaB1G1fGEFDhEtrO5Lsw2REUSLaD/4Y73a362hAwJSaV7n44Wb96nM4OUWk2a1LUMls7FhmPxhf1TX2f2PPfSrAPrTzv4mv1+SquRNy5zS8889NG0jH2JUts7n1XPR59Vzy4YpX283bRst3HuRO35NlypaBb5ZivVbQtfvPVZeBwPNXUwsGCqMQ8C7YMZkNH/PBaZ+1rfv02f/UflvltMFA6H2a4Uz0PfvFmfqYCUcUySMY3tPKg5oUzGQutWx37Wsolt1TP9/9hM4nERSPV86GtG4CCWJH0dVrdfjZM/RB+XCEiBf/SVOgMz7qBwBOk0msr8/Y/HMxZsPqPTgZTKVlutvFstEIxoXtT0vOk5w42vR8a5GrT25CZCodb9cayPQA+4LOgKd7S7lEw+0mLyZVjCwc6G8aeksNKBeIbp06wEFD7L/8cYyEEHis9fvU70f1lkus3BjP5q+nXt4ceIAY+UY66DaoESAVu1lFG8DqLounbDcqJvVhWJnX+Vzpqa1R69YpgSC8N1A5t5s0iYm1BkmJokfm3b1rknotsEBNlXieNShei4q9rxTxo49xrHgJflbUBEIaIJFn1d0qp47D8GHHn/uof/+E6uuXzwTDW9k73Dx+OkzytVjIVNxwxIBHlXXSIKgmjyiq2dBuAhItB2nr2tQPl1r5aNkCSPuIOrzG+qlwoV7LlC76dsdazkxuI4H3rhjRTYnbjh2lXadvUHFMienYFPnmE1V7vDnHlhx8DK1mLJF6I/QjhU14tyoLDxSYOOe+v6vADUvmy1StgkeMHA0iYQHmRMpBkehRWuNXE0HL97mWgwomO6MICp4GMDHYJYpLUpS5TzsIHwUckuEmSqD/rRjCHgfwP/AEhnHmmwdpxxoPL0tp2yxQNsax/I66wp+tdg2XJSZCJ33zGdMFl+r5ucV/6RPGp82dq/msaXlBy/RB1OsBU+87wBWwjF14rh05Q6/G0F2b0TXI7sgo+/f+2jyupPSLaA4a2rLYOk4Xw0o0ncJ3bzPT6S1KJeNsv5/Aq7P3/uFSwL6GbDCMlFJdOrPzNnr96j8NytkKi3X/1ckI41650Unv20F0WiCG1+LRjczim7FTYBE0Rvnmu1/D7gvaP/72F3Btx4IGrCU+6Guf3wdvHiLao1cI10YUAnF+y/ljkNb+K6vatLdR08Jhx6zzG5bhoJMlYYNxq6nraesre1SYzgDkNxAkgPy+e876M+dni37LELw0P2XqJUPOkCSJYijEbvGBLj2cxm25BCNXn7U6XaodGBK2njck8Qeyszkjm+OWUc7Tt9groNKpW6189KgBS8CUiCrBI9I2iTOOxjaT99GC/bwKwJzpElEy7zEXzZvCDAeFYas0JJsMqlbOAP9wKnq480FrjPr2eWNF5GYyuxzet0cgPE314pTOyNqHuAvUBHvVI4PquPxN+tUj515P6w4SkMXv4D+614nL7WumMOOCncswwO84JZx6NIOFSlXuqidAAHMF+C+RPJhhezUo27+SHlOxq48Rt8sEidANnWv5pJwO7g7ISNW06FL/AQIoGB6vma974cu3qaQkastKxq7Zh2Y88pN6TJ7F83cyufCsOOQsU2KU+1CL6CejHNVArCitT6pmpM61cxjxxzhWFGRDSby3qt5ei6kh0+e2bIDFfqo1Nel2rCVdOxfK5E6EhEIZoce8OQc1Ofh+taeNTzWNv/26hcP9q9F8eNY4adYyZe0SeIJCbltbdY0OLITIDLuC91cnCvQxRdRMIaF+iym2wLYMUDeoigJcNAiMcIki8Z1m7ubftt8RqhL/3Y8eeUuVWYkl2XPQd1CGeiHJuzOI9nc6Hbdja9Ftzsa9fbjJkCi3j1zLY4gD7gv6AhytLuMzzwAaCd0OLCkbI5U9OuHpUkFNgTzUe2Sp9ciesQ5zBg5H8oMXubRYo75gCMCLJFRKgxZTmeuyYPZqg4xVr2y9s7CxwYxaMufvYfAgo0bulX1wBL+dvEh+n6F8wQIuihY1Z7APV5g4PWQBUWypUpIJ6++wP6GrR9XyUlfhDg/IMuqkP0BvYUKMFSCqQgqK1FhaUfsYvmieguJxIgSXofKqs6VKWuqqE3s7NSHc7efpY4zdzmdTscG1SHgOUeUAHKwRP9Qj6pYJI+39apBcZ5j8eOdjUANzEJipFbB9BFlXpReRyWZHZncGL5ybuPxG2jTCWti3Ki/dsH0NLZpCV8taUsPL8hoVLKxWzUXQtCWV8MG1xi+io5cvsOd2bJ8durFSIBsP32d6o9Zb5nnJkDs3QQZGbgdbaPfKUavc74fus3dQ79tdg6B5e33nXkfb0/YwCzG0cct+LQC5c+Y1LL9wG7zw/kJVX1jLvDhnRPwu1k8awpayelyT54wDu3sXdNjWR4s7bae1bXuaLOwEiDoLLl464HqdmyNi+wEiIz7wriZiCwAknUSvVcmq/YNDAgvkcxpV4ZKZJVD/n05ezfN2CpOgBwdWFvrAD96+Q5VH77K1n3G4FoF0tO4ZpHzG23bWD9PcONrfnawq17qATcBInWRO+BV9YD7gn5V73zU3ffghQcshOT6bnKlTUxLO1aigfP3049rxJivOl+IKGHRKCiAhjQIg5diVYuhRfmr1wto1/+9/ZC+nLOblh9kV2459biRh6PJxI207uhVD1WdauSmT6p5EkP6MgFibq8esuggjVl5zOl2iFdpZq6QK/f1cjp3w34iSf+Ad2KgDBIBh9PdfUKcqObOOXX1rkbkqiIgFwXJqB2BD+FLVRn0ZiF6N9gzqac618m4q3ceUgkG2eLwRkWofvGwzqdXTWZsOU1fztnjeNve/A04WXTnmRtMiMCFn1WgfBmS0v7zt6jOKM+OPFb3nJO1o/scFThDdL7lTW8N1EUl3wBiEs+RSIwFCRG9N5UEiLlYIKJtjKrr8arh9f0Yv7OMe1x75Ao1nbTJsu2J7wVRdQ4MU1T1kT/tlnGf2Vl7ZOOiVK9YJuYUb6G2zDwaduxija0/Zh1t53QZYzyLXBp8Gzm6L7C9tJnjLnhQKF269dCiJ0GcWBSULQUf/jVebNrT1/MblFeUxOMwqTliFR2+5JlwRHGPk+9tFUdE9PeI2SY7nUcR+V2Sv/ciuvfoKdeFgHTOlioRDZh/QOhmVZs7z9rlAXnLUnp4QG2Nb1MVRcGsw0mRlsozFBXHuPG1qHjXopfNbgIket1Pdzc+9ID7gvahM11VEeKBY//e0ciir91l49XikCQL0JfKlpLGNytBKRLFJRFklRHGpd/f++mndZ5JFWPXwns/babVEggPJw4yHvpYsFCojESFpFFUYFNUbYGfQgq8qNYGDjrw0J1KnFgx6PFTK9mFObhVtN8SumGTaBI2iTCoZTbLYFhQvY7q+hjolfeRgPfiTUYVK0t9cPaUNKNNGVsr4++l2jD1Sq4edfLRhxUDba3hzeDTV+9RxaFWrGFRIMWb9aLC3GkbT1HPP/c6NlU/xDpWYHPi1pPXqMG4DZZZegCJxYsEeIc+/wtLHrvC98DifRepzdRtQhfxKpWjkl9lPBDYi784mFT89P3yI/TtksPCoeu6ViUEEl2x54Gqw1bScQYckK6F965YtPcitZ1m/dv4/t1i9FrhiOtitLfbl2804BYBu+gLGdqgMDUMysxUpVKBLrKhXeUchMIlX8nro9fSnnM3uepY0ELgK8vba5FtE8zQVTwCbHRu4nyy4bhnoZO+IBIkB/rX8lif903OS4yzOq4yp0zg0851o4GAEQacbmSJCvSTbtvPH5SiSrnTRIipeXstpAeP+VBqTYLDEiADF4gTIKpdK1/M2kWzt4mh7nTYtL3nbtJro9fa9kO1vGlp0vslbc+LjhPc+Fp0vKtRa09uAiRq3S/X2gj0gPuCjkBnu0v5zANnrt2jIYsPCQmrzYshMJ49dULtgxOJC53X4qNft9P83ReYtv30fhBVzRtG6MgjJgZJOnB2gecqI7F24gAjxwcLFurr+oXobRMMlwpxrqot/esVpGals4YPF3XgqOpkjTMHt3L3WEiPntrDWYZeFnG7ql1NJ25iErQb5+/vF0IJ48ZWVSkdZ+deARsaHTl2hFV9L5r/WbVc1KFGbjtLeDV23/mbVHeU9aD13dtF6Y2i7EpSrxaMApOn/H+iVUZ8KdrGoQG1KF5sK/a3062ju23K+hP08PEzrTsoME1iD1WbT1yjRuOtCZA/2pelYllSULau85lLRzY0hlN/ROQ8XpDXaMP8T8tTgYzJItIsn69V9duVdPyKFRPfuBDw0Fd3qeLztVUUjl52hIYtFSdA1n5ZhQJSJFRR544xeABE5iA05wmL5wxjeVCBRt4019FyD4i+geWzPUewvkf1Ed5yjbSpFEjdauezaxJ3vCzpOqttGSpp4vi79eAxFe6jBllqXDhh3Fi0v9+LxIUI/qhE1hS0jcMjiAKiIwPreOyJR/I9p11Zgi6zsDquWJCyvnL0+q5VKWMkJobtPHdjmhSnOhwOG1/5Q9eTu+dCLvwyxgBeGfdl8EIx99SM1qUpODCV1LyOM3fS3O3nhOMO9KtFCeLGol1nbtAbP6yT6jQPqJwnDU1pYa9L3fYiUWSCG1+LIjcqGpvpJkCi8c11t+adB9wXtHf+c2dHngeQBAF5tIrEjRWTdvSuQYniWQPXrM4OXefqzlUoS6qwgMbNe4+pWP8lFuxfBGoB81JzhJWME/OQbMGhSYXkmrWXt4oH0LBGYTBc5b9ZbtHDChSDTBbdDL4QM/HkoAUHaMLq475Q7aEDFWhrulTV/g+cLDgcOBE0ZwCLPV1S+2ToMkxo2LO5ezVK60A3by9ztp2lTrPU+B7wnAFWyI7wcNJ5OniEs3bWtDN24/Gr9PaEjZYpQxoUpkacSlI7+qPi2IlrjkthD0T74pGfOvEF3ntVhq0M77jDu/TvT8pTnvQvSLfR+YYOOLP82ipYO5jzIEPcBIj8jvAS78aZ/3xSngpmitoJkLKDl9H5m2IMehYBsNyDvhnxXegRGhEqToDwIGd8Y0H01VJp6Ao6ZeLzMu4WBRgoxDDL1I2nCPj+ZhlQryA1NRRtRF/P+WZn7aZto4V7L/pEmcj3KhA8IiNaVwyk7nV8lwCRJV1//TCYyuZI7WESOs+L919q21f4LgXBtN49LCrwwZlh/4VbzDWg58Tguh7XeBwu4MIBt8dYdGz/R/RB+eza7wSr4yowTSJhF5btDRsm8MjkeTqfPH1Gi/ddomt3H1Ktghno2X//0YwtZzRopoYlApi8JiL7VDof9PmiDiZvfMCam6vHAmY3vD727ZKZKVvqRIQOH5H89mFpKpNDngBRgbrb1zdEOydvO3WN3hprLWqR+aBCrtQ0tWWwbNgrcd2Nr70St/ml3qSbAHmpb49rXGR6wH1BR6b33bW98YCdVvRyOVPR9FalmctNWH2MBi2wfmDGix1Tq9gykgmjIgaVMUYBT0jtghmoxZQtFv2pEsXV2oHBm7H+GLulXeYDI6lcif5L6aoJ+ouFd22X90Fkg5EHBeMG/LOfJq4V86vI9sS6njJRXNreq4Z26ca9R1S0n/1Dpq7XaRVXw3HracvJ60Lzl3WqRDlMFfDGCbAdBxZUM5fMloI+qZpL6xDiiZ1gd9ZUCWlVZ7UKaBwil+y/pFV8hR64pHxL3imVmQbXL6w83tuBPJLnr17PTy3KeUK7ebtWVJk/duUx+maR+NAr2osvEyA/rT1B/UwknOZnhNelENZ1l4hJpukPPp2ocn/t2LlgzwVqP327cAoLq97OGi/DWNZvm9kucxV1RNrNIxo22mAsmIhI26L6WhWHrKDT1+5xtwEomIFvFrJcH7/qGLM6umfdfNSqQsTBOEZ1/7f+Zav2reAL6fu/AtT8/+ENWeIt2fqHFbJTj7r5fWGmpoNVUGRUjgRChVyecEiXbj2g4EHLHNmgV9f/999/lL0bn0cEv5mijigkUvQOdhjy4S9bCVxRZgE87jcLD4Z3UqN7BMUL7aZtt+jPmTaxRnztD9E7QVV0P3v2HzX7aZOF61Cfi4QOOh5Z5O76mDsPn9DlWw+0bw8knDrO2Elzd4g7H/S5+vOLorX7j55qnIW+gLy9ef8xodsb58qaBdJr50oUhoBThic4eyEBMmTRIaHr0D2PbqUk8cUwY5/9voPm7RRD3e3pU1PTs+n4VWq32mP7AAAgAElEQVTMKEyS3UPRWVs2N7pdd+Nr0e2ORr39uAmQqHfPXIsjyAPuCzqCHO0u4xcPFPpqMd1++ESqW8RrMG/nOfrs950WHaxqexbZYMZk8aldlZzMSkSd/M8b8kdjRQ0LM5ZVpYbNvPH9Wtp1lo9vLHXa8wHmlub+/+ynSX5IgKCy/PDA2tqqZ6/fo/LfqHX3sPbxcZWc9EVIHtUtho9jcayYlcz7qByBsJ0nb41d7wFfwAve6POHLj5IP6xQ41RJnjAO7exdU7ovHLBxyF20z35V52uFM9D37xaXruGrAX/uOEefz7D+/X1RMzd9XDWXr5aJUnpGLTtCwyVwO6IN6YEWX2yaF5g2dm/woGjQnRYzRgz65LcdFlMA7bBSMZnni31EVR3/7D5PH/9q9Z9xP7J3UlTYe4Hei+iugBBW34M5+BdRexux9DB9t+yIcLlVnStT1lSJIsqkaLOOLBAN2L1BjAQI3pF4V5rlVf7tcPJQtPp5C4UeuOxkqmWOKPmkAsEjMgJcdwjq+0p4ROS6/sktSlKVPGk9lrPTeW62c1vP6lrg/uGTp5SnJ59HBEH+i7f43XBmji/ATwKG0iwomDF3VrWpGEjglTpp6rjKky4JHbp021eu9dAzrWUwlc/l2UnDW2j90Sv07sRNQjtYvIeYcPzfOzQi9AjN331e69RHYgDdCAPn76c/JYF/fcHOIXm05MTwJYe1xBEC+mOalPCKwwQ8d+/8uDGcZD4oawr6rXVprctdBJvcoESAlsQZulicAIHtKvyA+A77W8L1o/O1rDt6hZpI7gPrJpUOTEm/t7bHU+iXh+4lUOrG116Cm/CKm+AmQF7xB8DdPt8D7gvafTqisgdkLez63kQt2DwInrqFM9APpkAwbyy6NMzBZmPiQoVAlXcfimVJTn+0L6dVCrGgZHjBLzudBaJnwJwI4uEN++I50g92hy/d5kKKqazD4gEBGfgPK47Sk6f/0fvlslHxLFZs5P99v5Z2S5JG01sFU7mc7MMc73AsIqXu/sce+nXTaZVtEeAPjg30rP5jTeRBEqksUiVPGpocgRi+UzecpF7z9llM8zXet8reX5Yxw5ccolHLjzo2R4cxsKsAgZnxq45rgQTwzbxXJhsFdmdXqhoD0TzSdgQtz1y/R+hoMUvqxPEI/EmuiD2AgAUrgWScBV4g3K+oLLJqWH1vTp9tb33DC7Yb9a78orJWseuKPQ+U+3p5eHCQNZPXlcjrRnVaAGHP6ugzusXkzbTi0L8+2VC32nmpTaUcTF12KvFZCj4ol516v+67BAiPiFxfGx2MNfKHcQDqgt/GqsNWOfKVDpGHDgVwgPAEhOHoGOCJmYdOxmVi1sNKjOA7/wAHdsvRZg2TxjUtQbUKpldS8+Pq41LSb8BgDW0YBgusC4owuszeTU9MHRXgjRJ1l5mNAon3soOeyUBvE28s3kT4pO20bUKfAP4Y0GQqCRAoknWnf/zrdvqHw3epG7Kzdw1KnjAuOYVRLpUtJc1s6yZA4E83vqb0J+8O8qMH3ASIH53rqo7aHnBf0FH7/r3q1jcat4E2n7RWPhn9ggTC3HZluW3MaDUHCadZmpbOQgPqecIugJuiaL8ldE+hUtV4aJ+19Qx1nr3b0e1CZdbiDhXp9oPHVIhBvshL7qBVv/TgZV4TswPGa9tzaCpsoM9f+2jK+pOO9iKbtKNXDUoBKKzT16n+mPWy4dzrqKDb2L1a+HW0w1ccuoIePA4jVY8Zg2hue2vQsM53a7jYy7oy0WHujx1nqcMMK5+HCBveLv62fkAROUeGqS6a688DDP5+AMNghBQYs/Ios8Wf9ffn+IGIYhMBf8VKGqhuY2/fEErM4Dsyzwe5eefZu2jtkSsaZw6CLgjO6IKDP6/ba13XqpTpObEpD0YQ1cBrj16hlYzgGqAgDg0I6/hyhe8BXoeiccbc9mWZCd2o4lfA9eXsocb5tLlHNUqbxD6/k7e+GLbkEI2WJCWXd6pEgQJ4RG9tiK7zZfwvjYMy0zcNrLCM3ebuod82W4sHIprHKqrfF/A3oWjCF4IK+o+q5GSqUuEgENnw/v9Da/X5XwFfmKnpEBGR4/q4psU1DgqjHLp4m0JGsvn+ZIYt6VCRcqdLovFpiXhE0A2N7gOe7O5Tk5Ia4I5kfz9mPeDbO3Ptvsd/F8iYlPadZ/OOyPYluz6sYRF6q0SAbJh2XaUj2lzghG+WoAFLw7/vlRayMShJ/Ni0q3dND9gxG9MpW9f5luH4dgJUsUjqF8ukdYAMU+wGlkH/fjR9O83fc0G4pn4GW37wEn0wZaudbWpji+O83b6c7XnRcYIbX4uOdzVq7clNgESt++VaG4EecF/QEehsdymfe0D2QQeoomENC1POtC8Ie81G3Hv0hPL3tlZj8WCzVKvlOtXITZ9UC4PwWXPkX2o2yRkpOT6UgaEL+I3pjE4BYyDSvDcVUm+Vm3JkYG2KEyumNvSreXvp5w2nVKbZHqMnChCQbTpJ3AYvU67DDWAcCyucFWAPGbFaCgPwbcMihNZ0lvDw+kHoDWJLEEfrftTn271Hsirjuw+fUAFBdaHMb7BzgU2idZHOHaeva4FDcOeAvwY4/ugsAExJ7FgxNX6cMYwOgXpFM9LIt4vJzI2W1wHZ8OMa5zw7Oo6zzDldZu+imVvPcocliBOL7j9+yrz+ywelqGLuMHx0HjxQh+q5afqmU3T59kOmDlFnlMx22XXAwIFI9fq9R4RuvIAUCWVTXsrrKgmQOe3KUoms1o42f28IPkZSGZAhIKh1KrKKaKPeyIKZYsFfmvcrq8B16h87867ceahxUKEAolLuNISqeSNfgB1dETW29KBlQsgfMw+Zbtenv+2gvxiQLq9y8tzJPWs6cZOWqPaF4J3/WXU2dKUKB4HIBjsJEHQzztl2jvA9VLtQeub7HxBEKMrgyeh3itHrRTJ6XN577ia9NnqtI1fpnXoXb4YVJzkVPUitz1eFD9THB6RIQGevewbfCwckk3Y/O7W33xsFtG8+Fenxxx7mOcc4F7b+9XH58P9yCtekYo8+ZsGnFSh/xqR2poSPZSVAVBThGxgJdVU41K6181JbTvcV1lMpttLPTYBJazNV3KHC2gPO3EAlcMXtAHGfgcj3gJsAifx74FrwknrATYC8pDfGNUvJA6Jg/IB6BQn8CyoEdtWHr/IgAESHwJovX1Q4G41BRTR4MGRirHryFtJJRIoo6giYuvEUk5tEZrv5+vquVSnj82rvXn/uJej1hyz6vALlTZ+UeKTKdtY04g7zDiBGHgPorjZsJR37965wmT6v56f3OeTcs7edpS9mWTtAdIWospvUvCSlT/aiglkl6WI0SEYoyePUUPUdIANWd1EjWpfpRBCu2rBVHl0F+pxR7xSj/xXJqD2frOeper50NLF5kGyJaHnd2y4rc4Uoz0lOD+bQZySpH7TgAE1YfdyyDCAc5mznJ1iMSUpf38g2U7dqCRAIumGmtChJQdlS+noZv+vjdZUZF57dtkyE7w1BPAQ0N524RikTxaWB9QpS7UKe1dKqzrl65yGVGBCqNNybQJTSApxBKpXJoR0rEciEI0uQkKo2fBUdN/yGdayRmz59XogRWXbJ1i01MJSbJMVcFByg8MAsPO4KvHeGNbKOl9nxql5/98eNtP7YVZ9s/9OqOaljTTb/Gi9hpbrwe2WyUr83CkqHo6PsjR/WhXc0JIkXm379sDQVCkgWPhd/K4B3FHEwjGxclOoVy+SxHgo63nTYnazz9YETAh3JTmVLj+qUJkk8bfrjp88ol2L3nL4eq/sAEIo7z9xwapJwXpdaeah9ZXZXkHniR79up/kSmCbwLq7v9qLDW6VIwNuNiaDdZLqdfmfh+xgQWCNDxdxT+vo8qED9uvGbiGez/mzxirlkey2UKRn9/cmL5JRsfHS+7sbXovPdjRp7cxMgUeM+uVZGggfcF3QkON1d0mceEHFr2KmKxQd0x5m7NJ4NiOigpZrM+L11aSodmErTB2iZIn2X+GzfRkWHBtSieLFjMXVvOn6VGk/Y6PW6xqC7SoWW0wX1QN6cbWepkyCRoKLfeGBRTYBUHrrCQg5pXktEsKqSHDPjWMuCP+b1WcScxjHvT97MhBxS8RnGmCHPVOexxv2++TR1nbuHqQK8OeOalSAeLEaZwFQaUeSrKD3/3EPTNqrxwrD8oxNZinz37FlYAMipGKusee+EDMni04WbfDJXWTeTU9tYVbo186ejCe9FvYQaj2De6JtZbctQyQhO7nw5ezfN2Hom3IxEcWNpsINJDNAsqvcPUCDggVCRyEj2wC4VWLrQjhWF3aYq+/NmDOv3PnnCOLSzd01v1Pp9bsmBoQQ4Pp7UL56Jhjcqarn8zoSNtOG4NXDP4m/z+yai8AKNx2/QEpm+kPaVc1CXWnmZqlRImEU2qHb2sOB7zDBqKomDoQ0KU8OgzB4mgWwcpONOZFLzIKqWL51WbIWiK6eysVu18CIaGZwWaw0kEM6bfpfRQbjt1HWnJgnnfVQlB3UOYT8T5onNJm2iNUfE3UiACMO5Ry9u8xXfoWgTIEOf3srZ96jTBAi6jwJTJ9K6/1VERkD+4S9baen+sKIQnmzuXo3SJo1PTpNKvu4gV9n3yzrGja+9rHfm1bHLTYC8Ovfa3alND7gvaJsOc4e/VB4QBVjNbeIywxE0wwEA+LhV8qTldo6gcgzt65du8Q/sWMvI+4A5gNniwcnIbONdjx0zBgGeitflcvb6PSr/jXqlGToUUJ1228ADgLXHNytBIQXCSAztkHbb3ReqtCvnSUs8Ymw7+t4ompG+ew6hpJoAkZGxYv02FQOpW518TFN4UEDmwXrnCZ4LwDA8fhqWeFMRVlWiPu/IpdtU67s14Yk8FX3mMb7kZhD5A5XSqJhu9fNWCj1gPZT5qpIMwZAB8w/QnQdP6O2Smenjqrm8gutx4lO7c8zBZbvzVXhi7MAOsdY3Jqicktv+/XF5j6pcu/vkje84cyfN3X7Octnc8eV0vZv3HtOWk9c0OLcyOVIpdRk6XUslGTyjdWkKfp5sd7qO3Xmsd6qoO06k3w6x8M8flNKgnSJaACs1btUx4bI6xn9E26avx+um89Vz7699Ab//yp1HXPXAwh/e2JoAeeP7tbTr7E3LvOr50tLE5iX9Yi4glb76a59WpY7kEjoSzETZflnYj0objltPW076JvjdumIgded8H6mQMIu2iY7ugW968vKxxvNIwY1/BzxOPaO+r+sXordLZfFYwhu4JR1Sa//5W1Rn1BrHd9R4tuBxGIqUswoTSmZL4bNnwLy2Heiy10evpT3nrH/TZp3GIg+Vd7NjZz+fiKQL1kwQl11sJtLvNAGCRG6O1IlolIR7Sl8b93WDoTPGaJPqM6cn11QKL1h7zps+CS36vKK37o4W8934WrS4jVF6E24CJErfPtd4f3rAfUH707uubn97YNmBS9TyZytRW4qEcWiHH6seeQE2fb8xYhAd6l/bI9Cq0l1g119J48em3X1CuNMABZCn1yKlgDigj1BJ3PynzXTw4m0Pnf3fKEDNnmP4dpu7m37b/KLy167NovE/vFuc8NEPAmhU3HojudImpqUdK2kqVBMgMixy6Ho3OAsN4hzC+/69jyavkxPEHx9UR+PDWLTvom2IMiP0kNE/SKY0mbjJJ1AWRs4Xb+6BCMoJybsD/WsR8MdZ1aeofFv+RWVvlifA9JT9ehk9b+zSdOHe4R46FXROTFl/UiPfRQC8a+18WhDclyJ7v8jWUkn+eotDDggOwCVAVKAVWDb/2iqYyuZMLduO0nV0703beEp7d7GIkaHEF4FgBOvB56QTmKKzBAliFahFpY2YBs3aeoY6z94tnGrsNnSyht05eNdk72btHqpTKD2NaVLCrjriBWcArYUKZ6OwiIltL+hgwuCFB2j8KivMm1HV4s8rajxPkSW8zjFRl2hk2WpcF4TQ5vtsvM7jgzJDl+pzyudMTdNaBftla+akPgoGEDRMkSiuX9aLCKX1x6yj7ad9A39k7nA12q8CbyTa7zulstDg+vIESIn+S7XvK7MY3/8qv3/96xWkZqWzeqhZcegytZi8xdFtARdco6DMGtRUvR/WOdKBScbOSSe6cD66fu+xx/rB2VP6rAvIvDEehB3LARWGLLcQtLPGGfmWADsL+Fl/i6z7mrU+zmA5bUKU6Xrwe5ojTWKNQ09VDvSrZUnSALat4bgN9MT4IcxRqMMdz9xyhrrMEX93sFQYz12qNkfXcW58Lbre2aizLzcBEnXulWtpBHvAfUFHsMPd5XzqARArA+vXLOhkmP9pBZ+uZVQmw2VPnzS+BgdiFF/CDOh6RRU/+hiVrgZgAiOIljllQnrvp820+vC/HrZ/XCUnfREShuvsbXW66KYMeaswNSqZmYYtOWTro5+lEzwu+/qGHQZ4CZATg+t4BC6DBoQSSGRFAlxe8FewRDVwjU6XTjN3MQ/psof2s2q5qEON3JZhqEhFgMEXwuogQNBz+qbTWnIKCT48E41LZhYGfnnwVrqN6AABj8C+87csZqdNEo82Pw+wO93T6GVHaNjSwx7TzfjRdnWbK+OQyMGhEbABvhJvsdK396qh8TKIBN1CNUas9spkvQpTBbaCtdC4piWoVsGwzjJvpeuc3fT7FnFilhUcsLsuq8ren10JM7eeoS6SBIiOLW93L07H86qnK+dJQ1NalLKtloWrj3dM9lSJ6PgVT04mI7eW7YW8mDB4wQEaz+C5MarUOay8WMarqbzuTJX3gVcLezm5WL8lloCsUSXvN7fs4GUWKB/MC8qagma3K+ulVezp2bvNt/BGRAWeFZEz8A2Nb2lfSPMyWakvh6ej/fRttGDPRcfLyDgOdMW8hJoxAXL08m2qPlz8+8fqaFuy7yK1dkAODdv6/q8ANS+bjbyB0YIeI9cQvtXxzW5HYsWMYSmKKpsjlU+KZ1h21C6YnsY2VUuMF+qzmG4/eCLdjrHrkQX72rJ8dgIh972HT+j7FUctpO/SBRgDWpXPTj1fy29rKrpFi/RzBn8MmNgcaRPRDyvEnYdGg1hJeNVzCfSs/bIKBaRISL9uOq11+9sVcJYs7+Rd4ZLdNV/W8W587WW9M6+OXW4C5NW51+5ObXrAfUHbdJg7/KXywPkb96ksAzvc3/wBl28/oFIDl3F9UTxLcprbvpzHdW+DmqzFVD42RYkXVNTlSJNIq4hPGDe2tgSrmgq8EAEpEmhBitPX7vntGej9Wn76oHx2Uu2kkBkCInRU5+fgcB3s6VPTA7NeFojBelXzpqWf3mfDa/DgnMx2AmbtzLX7MvOZ13kBhpojVtHhS3cc6TRP0g9Bxv9ff+wKvfvjJo+hMu6BFpM304pDnsk0owIEwFFZfeqq9ZlCd8X+frW82g8PW96bTgAWRANIhhEE85V4GyhSIRfffvo61XdI5qrvU+cGemvsekf44SyMdSc+vPXgMQX1D6VHT58Jp6/rWpWQ7PVGWMlUf+Jez9hymr6cIw5E+LKTRsU3PGjFUtlT0sw2ZVRUeIzZcOwqvfOjJ1dV/DgxNULxvec8k6PGbkTbC3kxYeD8/fTjmhNCDZFF0K4bxevOXNW5MmVNlciL3ft3KvjRwJPGE2DhAz7ILLx5/iyAYf39+3M9/3o+TLsq7JCKLSKYqnbTttHCvc4TIGYeD549vO844+++SudEz7r5qFWFQI9lnJJDQ8mXtfJSu8o5yBsYLegxBrn/3nWewK3irVTIlVrKveF0Deie2lLekWWnW0LvFodNr41eY/md0M8SuI5vnbcnbKRHT8TfB7L9OYHWswtDbLQhpEA6rQNkzEr1BAirqMQOBJcOS+oUhjhbqoS0snMVmStfietufO2VuM0v9SbdBMhLfXtc4yLTA+4LOjK9767trQcePnlKeXousqiJCMJbHs6w9kFeOAN9/25xD7sGLThAEyQVpHb9ocKTIKr+YVX6D1180FbFkV2bReP1Skq7XSZo6Qf5rjk5A74OYFKXGBDKXNYc6FepPiuVLSXNbMsO8oEcE9V9/hQjt4m+DghkEez3lbCqyFhV/m8Wy0QjGNjsuh1vjllHOwTQGp1D8hCI43nwJ4AKi4lWHofC637yRi/rMJkgTiwNzstXokJWKVoL0FSAqBKJk8pRs75vGxYhwFuI3oUiG4xBCm98xyJ/Zun755PyVDBTMm+WUobT82oRw2QRz5U+bHqrYEqRMC7hXX/k8h0qmDGpxpmA4Ik/ZN/5m1R31FqL6sIByeivj8vbXnLlocv0vglWJlmCOBqclPl92q12XmpTKYftNbydMOCf/TRxrTgBMv/T8lQgo3fPlzd28n43ffHce2OXbG7hPovplqDqm0dqnqvHAiZ/Foo6OtXMo3F1oFvpreIB1KNuvvAiD5k9ouus978v4Bq9scnbuXW+W0P7L1i7MJ3oFSUp2k7dpsF+OpVGQQE0pEER6fSi/ZbQDRPEEyYZoeDWHrlCTSd5FnSYFXetnZfamt41TsmhofvTqjmpY808tOLgZWoxxRmMFvQY/54B+9jzz71Sn8gGgFdplanzWzZH9TqrIIw1l0foju8rM39ivzcK0HvPYXlZ0LXo0kbnmC5IeKF7N2n8ONo3C2AyZR19ZhtBFD/HZmfZwYu3qNZIZ3wv4BbCb7iZewr+bF85J7X6xQr/zPp9tJMA0b/Jflp7gvr9s1/1FoePQ3HXmi5Vbc+LjhPc+Fp0vKtRa09uAiRq3S/X2gj0gPuCjkBnu0v5xQOsjzvgBKO7wZ8ycc1xjVyZJW0qBVK32p5E2Qj09nfwQSnaQ9ZUCWmVpNpm+NLDNGrZEaYaFjb4LxtOUu95+/zpOq5unWDcLlZ07nSJqWS2lBpEk1FQmT3qnaJcqANUKwPObOn+S5QmSXw6oBAEyJchKS38jA2v5jQQbMfZOKgCcscoe8/dpNdGWwOSdvQax+KQh8OeUVR5VIxzqg5bScf/9YSwMV5HAgXQXbzKfXOHjt39VBq6gtldsrVndUqdWJwg4K3F8gMIMg8PrG3XPO54WeeMbCGVTgdvKln19VHNiqpWnp9ldnaonps+q55LNkx6fc2RfzVeDplMbVmKKuTyjkCb93dwbFAdArSIr0UFigL7Gjj/gAd3U+nAlPR7a/vdGEb7t526TkjcI4gM7PoW5bJre2R1g2Ge0+DHor0Xqe20bR6uS5c0HuFdu9LUQebrbivV+4XfbvyGiySyEw2f/76D/tx53mJiRHPEqPpUH1foq8V0+yEf9qZuoQz0QxPPghJe8Qt04n389L//PGB+fJE4A88Qq5uUBXkq80Ho/ksUegDfHfG0IHuieGEduJEhvvxuQbJpWCN2ksIpV5TuE1UuCV5CzdgZuWjvBWo7TQwZ+kXN3PRxVc/fJxVOJt491CGUWO87O/d93kflNHgnyJiVR2nIokN2pjPHorN5+cHLXuthKciTLgkt7iAnxga/VtVhqywqUOhlJkbXk0mAZs3dc6ElEaoCC8mCXhQ5AInVZTbhnbadukZvjd3gyK/oOMmRNrGFewrQWOOalaCPpm+n+XsueOg28+TY6aqBInSdjG8WRD+uPk4DF7DPt6LNoMMW35+uELnxNfcpiGwPuAmQyL4D7vovrQfcF/RLe2tcwxQ9YMZ+R+UoPsAS+/lAiQN4jeGrmZBQxuokfRv/7D5PH//qfau62S0yOB8emR0CWUcH1rZwOKgcDBVvjTYM1UqqBJs6fAIL01e0ZrmcqTSyStaBdkyT4tR+OvugWzRzco2Q0o6Ignw8THI7+mVjiwQko3mGKmsEZVYdvkwfTLFWg8l08a6zOA2cJEB4ZKT6ujgYH7p0m2vmhm5VKUMy55BF1YatpGOMBMx7ZbJS8SwpqHah9BQvdixbbmL5AX9LCID7SkAMv/boFcfqQMz7W+vS2h55ogKtJDOgYYkAGtqwCKlw57B0OcHUZulRrco1V4XK9me+Lgom+IsAe/qmU9TjD3GFb6/X8jOT694k+lCNi8paY3Lym7cKUeOSWYj3G4HA88H+tWx3bbHuX5aUCQmBL3OAx1fPjOje4zcBXC9X7zykmgXSa0m+IYsP0uR1J4WPjA4fYve58tX4D6ZsYQYxJ74XRNXzp/PVMj7XU6D3Irr76ClXL4tD4PrdR1Ss/1Jbtsi+lWTKeHj+SePHpt19QmTTw6+b370FMyUlPDsxQHwTCVJj+Cqtc8wXwiOsh25vOxvrF89EwxsVlZrJ6+Q1koeDNBtwryL5vHou+ry6J7SlSkIaOpMnjGPpQgHU7KA3C9Ffu84TIHGdirFABRCi41cdd6oqfF71fOm0hJw/RDUozoPlRNfzPFNiVw/08/4ml3aoSLnSJRFuxy4PGqCAt/WqYctFrO5GVQVISgEG0owcAHL0MU1KEKtb3wz/fOnWAwoexIdrNtuCbnpwRo1ddcxRYg2FC5u6V1fdYrQe58bXovXtjRKbcxMgUeI2uUZGhgfcF3RkeN1d05ceAPwPDjKrj/xLqMTDAaNK3rS+XIKri1fJNal5EFXL5xlw2HryGjUY56wSiGcAPlZ39K4p3Ov6o1fo3YnWVn8ex8L+87eozihnLdtmQ+LGjkmo8v5m0UGl+6EfnhuN20CbT6pDSWEeiDeB/fzsP8+lUC3lDewC64DA83nBrxbTHUElq5ITJIP0rp/7j55Slzm7aeGeC/TEvGkvF0LSqE6hDOFaUGWXvdsCplZzUAlY7j+sOKp1fnh7oA7tWJFyphUfYkVb5UFg6XPypk9Cf35UjuLHUUuCwOf5elsh96DP2+CacR8i3h7VW4vq+QWf8oNqog421TV0TOz8vRfRPUEAk6dPFdNdZs/kdSeo799yuAadhFamj3edB9GB8UMaFNa6JHwtUzee0oLxImlRLhszOO/N3w+rAlSH+hHBcjlJurCS9OjqKxKQnFVUbhUAACAASURBVGZtO+uxdXOFq6/9/eDxUyo1MNQDkumTqjk1Yt4p68UJkL8+LkeFA8IqsyNDGoxdT1tPXbcsPbJxUapXLFNkmKS0puz9oVclG5U5wdb39h3NW9NuB2DdUWto33lPyKm57csKE9ZKjnQ4SNapaUctD64MOlQ50njr1S+WSYP2kwnvO8yYoJyy7gT1kfxmfFwlJ30RksdjuZ/Xn9Sg1WSCDg0zsbwOGTpn21nqJEm+iPSjcxl8SxAe74/MPvN1wAYv2e+fBAiSQTsl5xTYs+LQZWphgkJMEj+21s1vTgIAHurH94Lo6OU7VH24tWtkR68alCJRXKEbzt24T/hGVBVe0ZhovjeFb1XypNESIGbuKb0jbubWM9Rl9m6P5TMmi0/ru1UL/7/dZ2/Q/75fp7pFbdySDhVp8d6LNGzpYVvzMBid1fgGcMXtAHGfgcj3gJsAifx74FrwknrATYC8pDfGNcu2BxCk/e8/sl19anshwwSsCRzhdUevhv8vEgvA4DdDGpy5do8qDFnhzXKWuR9VyUGdQ/IKdZ6+eo8qDmWvywoIYE+1v1vjAaciMxqJp4u3HliGgS+jedlsBEgrFUEV2sTmQWQXk/rDCtmpR938VH/MOuVuExV7WGPixIpBhwdYO2fstpqL1kelWf6MSQkHna5zPQmQ9WpTXxHFs+wwB3NF1bbmZ+jdHzfS+mMv/h6c+hnzkJxAl44TwXOct9cieighvtR5LFTWOH/jPpXlHJi9Da7p6yPJEjKS3VmmYqNxjLHi1Tx3ZOhhGhnKhsZTXQfdXbPblqUcPRZo7167woK2sasD44ctOUSjlx+VTmVV9EonGQacuHKXqny7kjmlaeksNKBeITvqlMaqkJG+XzYbMzivk9QrLWQaxEse4jkfv+oYDV7ITmo7gYFiwS6i+wMwfOakg6jC3Mk+zXN4leE8HxvnG6FpfGGLXR0hI1YzO+r61yuodUi+rJK310J68JhPUMzidDt86TbVHLHa1pa8fUcDIhPfRiw5MbiOUgcHr5jgnVKZaXD9wrb246vBlYeuoJNX7/lEnQ7Pw1LW6uctFHrAOcySyt8+/Juzx0IP+DPdll9bBVPZnKm1f6JIY+hiMXQUoMnAA2IU1cIBVteCnsgD/0Q303edHecb98GCQbKjSx+LLitvCOpFa+Kb+chAeYfsnzvO0eczdnqoQsc13l2DFnj+3hTLkpz+aF+ONh6/qhGcGyV2zLBvdBl/3I17j6hoP3tdZLv71NR4RFRFhcOLpwtwt7nSJrZwT+kck1tOXqOGjKI6dGHqRT2A2mNxhYjsx+8FCgt50MmiuSkTxdU6SFxxEyDuMxD5HnATIJF/D1wLXlIPuAmQl/TGuGZFGQ/gIxrQVuuOXdE6UL55qzBVzG3FmRdhVjvZbJJ4semPj8ppFUIiefTkmYaRyxJeQACVa/iw5nEzmHXxYK4AV1K7UAZ6a+x6pS3quPV2D+QD3yxITYKz0oilh+k7Dt+JkgGKg4wHDH2KE0gO1nIItPX5XwHtEg8SAIewwn2WKFprf9hXr+fX8P514ZEe4zpg1GLGiKEdNr0hfGRZOa1lMJXPFRawsCvoxEElqEzsEDeL/OALDghwWXScuUs7fPpCRFXFKqTOMhuypUpICz6rQPl7y/2cNkk8umzaV4VcqWlqy2DZMtLr3f/YQ4AmkUnzMlm1TjGnIsIMt/Mc2VlfpeIY0DBzt5+zqJ3SoiRVzuOsG1KUABmy6CCNWXmMuQ0ncEusbpOS2VJQULaUNNa0jl75a8eHdsa2/mUrsxIaz87PG04JVXmTcLJjI29smcHL6MJNayFCl1p5NNLcl1XwfYLvFJ7ohRHG63bx+zHX23c0L+AI3Qj6IfgnE97vkg4nKJvvj+sVhiynM9fu+0Q1617piltO2ULLvOCZQFLhu7eLCe0U/e6Pa1qCahVMr83/euFBC7m0WTELbg/vI1lHM5DM0D1iTsrrv3cq73TRJn/5oFT4GcNbuEx9HXRZIDHjL2HxDZrXYnXlIBGODkd8FxlFh6JldVjgW2NzD3kXguhsxPPD6s5VKEuqhMpuUk2YsRTiecmVNgn99P/dSkZ5vUhGGv1OMbp8+wGVGmiFt0IHR+7n8F8qEJrmtZFgQaf5DyvYv/GizQOCetdXYlQCZedF8YFufC2K38BoYL6bAIkGN9Hdgn884L6g/eNXV+ur5wFAZ8igdFj8AQnixKKkCWLTpVvyoCfIt//YcY5wwAJ8TGAacfJDvwtO+BvsVKnhg/zvXVbyVXykF8+aQrnNHIedvz8pb4tTANVeG7pV08hE/QEzxnqSWTAvp67epUpD2dXhdv4aOtbITSD6hfBIIXvWzUcD5tsnKFS1o1ON3PTJcxswR1ZFhsAPeG8OX7xNoxQq8VXtMAYsVOfo40SdT2ZdqpXB645eoSYMODno058JVKCCTPTU1XtUMltKKhSQTMl0cLlUHLKCAMvgKzEGSsw6v5y9m2ZsPePVUuhGWv5FZe3vVSZBWVNY4HnQ3YMuH2+l7dRtSjB3/yuSkcAD4lREeN6oct3bN8Q2p4zMFhWoFh6B7XdvF6U3ijqDPuIFRY8MrE19/tpH0zkJJyfdBqOXHbHAbZTPmZqQEP92iScMB/ieprcqLXOb4+s8ngL83sr+XiITxggb5nFptK+cg7rUEneKOnaYDybm7rFQWGxRLW9amvR+SY+VRO9inkk7e9eg5AnlSQre/OUHL3G5thZ9XoHypk8q9QbvO8Hf0G4iw2RQkdJNGQYAtmdyi1LMKTyOGlX9euBXNF7UpWns9gSsIOAFRWIsRtHHoSp+uAQaCB28bSoFWroW8Bs4u11ZxwTTug2T3y8ZDvP7+ui1FoJwVX8ax31WLZdfi4dUEoSsrlQkAT6sEEjv/bTZY1s4Nx3oX4tYv4/5Af/5WQUlN8jePWYldrv8VDttAS95/Mpdj+XwG5grXWILvKWeCMS3Jop8zPxJ45uVoJACYYk+PKuiTg48q1fvPvJYFwmkN4tncsQtg8K8PX3V+ZCUblIUHeTG16LojYtGZrsJkGh0M92t+NYD7gvat/50tbkeEHmAl4hAoLLFlC3Mtn1dnzcflk4SIPi4/n75URoeelgKbwMIKuAHI+gbbm/82LS+a1UtKYQKTxWIHB1jXoYJbvSxEXIBQWTABwEX2J/Cghbac/Ymvf79Wq+XBd58p5phuNO8rhLg/J5nVPoaF8+QLD6zGljFQBzeu9XOFz5UBYYHxNsVcqXxmvfDaN+whkXorRIBKiZbxvC6Z8wDE8eLrQWuVUSE56yTYH81b294pXjMGEQIutQvLt/D5hPXqNF433IEiQLgvoLOWNapElUbZsXgNvsT+O1zd3h2KeRIk4iWdaqs4nrhGFXOIG87TmRk63aDIyob/2ntCer3j5jfhNeBh6Tke2WyqSxjGVNp6AqP97k+APCOgN/7Z/cFpl4VWEbzxG8XH6LvV3hCmIFfpmyO1Ja9+yppxnMKj6cAnSdLJRj5RnJiR073YpIIgvG9MlmpnxedT16YpTQ1Z/cFQh4rJPh+MiVAluy7SK2nblPSrw8SQQKqKBL9/YuSzUbd205do7fGWt/zOkG2ih2+HsPrHHKyjugd+/7kzbTy0L9O1GpzRPwiulJRF6qxs7XDjJ1aMZFIWLCGKnCL4BZrUjqrhbtJD8yrwG+J7AL3Bd5HEN572q6TB9QrSD0lXFN2dRrHr+lShTKnFHdOILFuhjxENwK611i8hPv6hmgdgubfDnTg4+9RRYr2W2IhqxfN+/mDUgRoKlVR7bQFzJc5IYdkPzpARDCQLLjg7nXyUuuKOTQTu87ZTb9v4Re6AIZ0/h7rbzng5v40Ec+r7JnHLakyN7qNceNr0e2ORr39uAmQqHfPXIsjyAPuCzqCHO0u43qAiESJiEu3HtD6Y1doyvpTFvJEOC9PuiS0uENFR350kgDRF0Kb9eVbDwmHupIDQ+n6vccWGxAwL5Y5BeFQef/xU0I1dP83CtLbpbJoYzFPFdanTqH0tGDPReV9mmFeEPgGifTjpw5ICRRXZeHcrz1yReOD8Va+easQNS4Z5jckdHI65FdAIGLNkSuOzDEf/AH5YIaicaTY5iRvSKsRrEQ1t0xQAbdNEbN42sZT3CDB9FbBWrVemcHLPRKZ2VMnohVfyIP8f+w4Sx1meMI8yGyXXTdDmRnHo6Jy9WHnwShd19SWpajZJM/qTJZd6GoyVyKqQlXI9qlK4lswU1L65xO1ylDWmiyuCuM4dJegy8SXMmntCeovSYAEpklEx//1rB6FDcZuMrs28WAIkegbMH8/990COK7hjeRExUZ7WEEiBGbwDjNzIHnzO6jiAx5PAfhItjEIxo0657QrQyWyhpETR7SI8OxVyaMj2mZ9vcBu8+mZ4Oe6cp40NMXUVeDkfekNpxRsFb3/VbmkFu+7SG0YiRtvu9O8uXelBoZa4Amd6gNpNeB38L2HIP0XNfNQgrixNHXNf9pMq7z4zVHhjBIVEhjfh7xOL+O+WbwsgxcekFbGIwD/RpGMFqJzvcDHW6jWcU2LU62CGTRT7QbwWfcVsEXoKu5sItR2+gyw5qF7PV8GcYcUKymFb9FPq+aiUoOsUE+Aoxq76ij9ttkzwG/nN8hu95PdrkoVknqQxKPLxcxJUyYwFeVOl9gCvWh8n7efvs1yXjJ2k7WYvJlWCJKO4EVjccFlSp7AUTcyCqEODajty0cnyupy42tR9tZFG8PdBEi0uZXuRnztAfcF7WuPuvpcD/A9YKwO10d1q52X2lQKq9aB8A5YImgBmc9ZGPlOgiKsj22s3a5yDvqyVl7tg/nIpduUI01ij2qv10avob3nbsnMFF7nBaBYuN4qVdPeGPPbh6WpTI5UHioW7LlA7aerkb3z1kbHwPqu1Sh9svjhQ4r0XUI371uTTjL7VUh7eTreLJaJRjQOC2KClBuVm5tOXJMt6fPrnUPy0EdVnGHXq5JPwucgzIwdK6bU/u+XH7FA8uiTcDAG4XoXRhBBhThz5pYz1GXObqkNdgYYu4nM8+qPWUfbT9+wo4459uv6hSxBatZABAi/mOWZ4NFhLLw1QjUIhEP9uq5VHS/HgmoyKvOm44JnlAqGOAvGAvpals9OvV7L72i/vMAQ3n1fLzxAu87eZOotmyMV/fqhPYgqFhwNgljgL/n0tx0e6wSkSEBrv3R+D2XOaDZpEzO5w4IoMeua1baMBnsXGSKC/PM3b4q3+83ebb6wQ5RV0S1KRvDs8YYTBzpF/A+qv1U8TH47Veve+ts8P2jAUrpyxxMGx1drGH+DvE26g6h7bNMSQtNEcJ3oVO5RN+x9+M6EjbTh+FWhrgYlArQOTqMgGY2ktEgwD7Bt7Uzfg+AI3Ni9msYh4k1BCaBlAQf27HmBjCh5qHIf0YmJLotOpt9nlbmqY9CR8eTZM4obKxbhN4JFUM4K1oNLBUH6XIwucnTcwY+hBy55mNGmYiB1q/Oig1lkY80Rq+jwJfWO8T6v56f3Dfx4sv1//Ot2brekPhdQj/itAy+NUYKzp9SSiebOEGOCh8XHZfwNZnWIGNfAfoYtPUy3HzyRbUXpuirhvZKyKD7Ija9F8RsYDcx3EyDR4Ca6W/CPB9wXtH/86mp1PcDywIkrdylkxOpwvGtUyy34tIJHsoAXZGsSnIUGvlnIkWPPXLuntcobD0qTmgdRtXxhbfSqwgs6GA+WLF0l+i+14MyqrqmP+6JmbkvwmUfuCnLDQn0WawFpf4gRgkDXzwu4t64YSAcu3FLqxsBB7/PquT1Mdgpx0P+NAtRr3j5H29eJTEHWiWpvf3bTiAx0gl0PiBEkIY4xKuJ5a23oVpUyJEsg9ZUo+IEKSpDBs+CKdHgs0QIq5KpSA00DRO+MGsNX0REfQMUhQGGGoGDZOaN1aWo8YaPlEjgl4igkn3h7F0H/mOc4hWd4/PQZoXL7q3n7hO8x1t+v3XtmHs8iCDePQRKPFQR7q3gADWvkGcBTtQfY4iAUNssP7xanoYsP0kkD3KFxjF7lrLoOxnWetYtmbTvrMQVVrIDBavmzZxcX+IaAJ+8v4SXrUaV7g9H9aLRjZpsyVCp75CRA9p67Sa+NZkMwIsD2e+sy/nKZV3oBtZm92wKhDhas0oTVxywcCzJD7FZvm/XhuecRA7P4Ilj28DgkigQko3kfl5dtwS/Xi/Vbwuzs9cVicWPH1AoMILzkouo6RrhT3pw5285yA/lvl8xMX79VWJv6v+/X0m5OElfXbSwE0f+v97y99MsGMXdI20o5NP6i9ydv8TATnFm7+4RoHX2yJIrIJyMbF6V6xTLR7QePqVCfJaru446DrY2CMluIxr1WzFGAAP3UlsEUCz9cBnlzzDraYSrKwHdVqwqBVLz/Urpm4qoA1wW+m3ae8Szk6FEnH31YMVDJ/Ho/rLPM1yfmTJvYAqdr9zdeBfYN746MyeNb3melsqWk3OkT07SNnuT0xsQcq3DGWOghS26iyxoQWTij+EpYHIk83Tir4R0RHcWNr0XHuxq19uQmQKLW/XKtjUAPuC/oCHS2u5Trgf8/BB779w5NXneCYseMSR+Uy05ZUnni4vK6F1QrDHlOBmkoCPGePPuP3i+bld4sJuclMOtCAqfKt1aibwR9EPzhiUobuOzh2NS9moapDK4RCHB4JzYP4gZPG4xdbyFdlq3Buo6g6b1HTz0ujWhcxOK/8auO0WBTBZdOeimDx8Kh6rXCGQkHLrO88cM6JiSabC+AZOIRdsvmovV+SIPCVHHoCiXuFpk+/ToqIC/eeqA6nOxi1z988pSqfrvKduv+H+3LUrEsKaR2dZy5k+ZuZ+OGI+iBIKm5ig9KjaSlvEX6/b2fflonriyVGmgaADi5MU3YFbNOcN/Bl2IOiqtgReOAiyQQ690BeDDAhDkVQK0AYk9VDvavpfESqcqDx0+p/pj1tF8hQNC8TFbqa+JaAFQPnom7D59S09JZqVPN3LYSPqz3iqrteiJTdbw+DkEJ8DaxBIlV/I6woBAxHl09+/uFUIwYnsEtkQ3o8vhr13mPIS3KZaOa+dPTOz96Js3ix4lJB/urQWyAQ+ne46eUIWl8ZsUxyya7kChGHUjyBQd6dgba9b3T8euPXqF3J7IhGL2FfkMH4qytZ7TfAnAyIQnlK0EVe2B3cQIEZMDTWgV7LOkERsjbDi1R8Fv0rjUaztORNVVCWtW5iq/caktP4T6L6ZaPKsBZC+tduk0nbqK1R53BckJvzfzpaMJ7QcK94du6799sziQjhFbVb1daSKfNilmk6yrfsujqxveEmdNLr45XSaKINqnDrR2+dJtqjlht616zBmOfVfOm8TkEp8iwQW8WIvDeGIUFZTm0QWFqGJSZWJ0aSNycvHLP8k05vJEa7xrWFj2TIQXS0eJ9nt0lqolOfV8q5xDA3t66/4QGLjjg4Q+cH3KnT0K/bvJMgDQsEUBDn3cmsSDf8NN7oF8tLcEk41/E7/mqw1d8yt0XO2YM+q11aWE35L1HT+ibhQdp7/lb2tnRnAzz+qF+CRS48bWX4Ca84ia4CZBX/AFwt8/3gPuCdp8O1wMvlwd4UDh61VdkWsur1mRhJRvtZOF1q5DKGnWgUjxWjBh0+to9rYMGreEiGTh/P/24xvuAMotwHIeGZiZyYVZ1qE7eio/9wn2WcIleRQSRTnCzUWk4u11Zx4fjwgHJCIcspx0kvPsCfyw/eFn5EbaD5QylSPI5SfoYMbVFxn0wZQvXflTlJU8QhyYy4DEGvlmQmgRnFe77k9920N+mILCyozgDRZXfhb5aTLcZFf68NdGthsrCgxdvWw7pWyXcCOmSxqP5n1agoAHsRAWvk8tsy/zdF7QkEQpH21fJSVXypKVDF29TyEj1INDGbp4QczIf24EmM+P4I9ltJog3cvzI1sb1cauOMZNqKnNLZktBs9qWVRnqMQa8T6UGWjHXMeizarlo9PIjQs6GXb1rUrKEcZTXbf3L1vDEtj4JsIqo+EYC2Cws2EPzGHTOAFMdvxXwAzpX0iZ9AS3IMy5fr0Uaj5UTYUEjOtHjZM6ivRep7TQ2KXi2VAlppcPgOpJItb5bTZduPdTMSp04rsajY4RpdGKvPgc8VzkkCRAWrJqT33dvOHFgb8cZO2kuhzgbEJ2A5JHJR9O3M0mHwcOw66uasul+uc7r9vLVYpu7V9P+9ppM3Ejrjophp0RrqkC5fRd6hEaEHmaqMcKMqfCeoCAFvBVIgjcvk43K50pNnWbuojnbPbvVzIsNeasw5c+YlNmRhe9YFPKIiKllftd/Q/C9gO8GbwXJZnzz+ZqDTGQX63lndYrr3dYqUFL6eoDbwr1WEdZvD+bhG/qNopks8FNvFM1I371dTEW1NqbWyNWWbybz5HkflaMtJ6/RgPmeCRC8U3DO+W2zZwKkUVAADWkQ1tl5+dYDJj/K0g4VKXH82BonnUgG1CuodbmYidaVN8gZiE7QZZ0qMQshNh6/qnVp4ywHMZK2e7vuyzTfja+9THfj1bTFTYC8mvfd3bWCB9wXtIKT3CGuByLQA/N2nqPPft9pWTEy4TWMxvT8c4+lJVsWQMYBEoFpnUQWgVQEi9BhoCJJ4sWmPX1DVIaGj1m454IFg9mWAiJC90fBjMlo80lP/gtWwJaFY4/q+JHPD0uiVvtDA2pRvNjsqvTPft9B83Z6VkfL9pErbWL6pWUp6eGHpwekymi/9+aQztINTgLAqKlCk6ECb3wzz4pPdHkMWXRIOxQmjBubutbOS0g+QEQQJSKf8XCdcVADXAWgb+oVy0grD/1L+86zoQLA0YND/Z+Me/VRlRzUOSSv8La9PWEDbTzuW54VM2H0zXuP6fGzZ5QyYVzK0WOBre4ekHGmThyP1h/zDGBlSBafLtwUd/XAjr8+KUd5ei7i+iC0YyVmB5Q+YcOxqx7dAKgYXPRZBfr3zkN690d25TtrMUAOIjilKnYg6MxQPT+sOGohNkVCdX23aqrL05iVR7Xn3Yngni3pUMn2VFFlMZKSvC4ofSG7PmZxA4R1xWWg6sOtya09fWpSkvj8BAs6FasNW+mRpFGp3AXfUb7e/GdU5shfPwymsjlSy4b55frMrWeY/ENYDEmLrT2dwYaxoKbswsAYN3zrwWNac/gKIaGKvxd0pObqwe420uehIxEVxUZh8ZrJHIuO296v2+fEQdfbXzvPE9bkSeaUCWhNFzk3DboCULVtFlRtHx1YJ1Iqob1J+sl8jut/fVyOCgckp3d/3Gj5/VCZr48BJN7E5iWFU0TwUsWyJKc/2pfT5ufvvcjS2SuzBd+s+O4wd6uZ5wGaCckTc/Ib45Dk6vvXPm4iTWYDriNojW7C4UsO0ajlR1WmCMfgezZN4nh+JUFnGbD2yyoUkCKsAx7FVTl7LCQkRI2in3s2Hb/KhNBk6bXz+8NLaiKAj98fs3/tcvWU/2Y5nb1+X+h/dGvguTLDp+J5xbeT+TvcCOUGvxX4arHlWZ7QrISWdMS5QyToxEGBljn54vVDRUR/flSOimZOHq4K3X6DFhywFAmhQxj3jNUB7ws7IkuHG1+LLM+76+oecBMg7rPgeoDjAfcF7T4argdeLg/wSDKNh4XItBiQM7W/W0NX7oRVhCJQ/vMHpShBXDGsDHD01xz5l+4/ekbV8qUltEnjwKMi5spqlTkXbz6g0oPZVcwq8zEGJIQItJlJFnXSd6MeVqLCCIkzeMEBGr/6uGVpGaZ9n7/22a7OKpczFY1rWsIxPnTaJPG0g4sON6bqL9m4TjVy0x87zkmhJ4x6zATiIIREsin8Ay8GESrocHDGIU5PsslsMV4HfBUSKUZBsgDPj2o1eKFMyShpgtjMClcWlrjZvurDV1nwpu3sgTUWCQvgMcM3eI50Mk0WtINsLQQrkyaIQ+jCsCv4O5rRpgzl7rEwnP/IrANk3UiQ8YQVqGhWOisFB6akj39Vr4L9tVUwlc2pHqTO1nW+8nYLZEyqdbrowuuyOTG4jjJEFCuJomoQ/o4396iuOjx8HAtWQ7+IoIwZp928gCwhbh7fePwG2mQKCuPvEe/9sl9bK1gBh5hO0M3BS4Se/Lqu0Bfnb9xnrqfqQLvPlqpelXET1xznBrHixY5Jh57zMKjoMo7hPf8yX7LWAVY/Kq4v3w77dgCMJYLFeXuJk076+8Oo8/PfdzCTzaL9OeHEwe9AnVFrpLCK8DHg9WTQb0jM8fipdvSqQSl8CC+meq8BkwPYO38JgrE1C6RXIh4X2aB31IrGsPiE9PEIsCLRrtJ1xFoD1f/w08K9F4WuQjAXcJisdxfgNtEl6uR3VF8UvA3Ny2ajNlO3WiCanNxDwJ0iON11Lj/B50SvbM6XtfISvqUhPD6TJR0qhnd7f7v4kBLfmB0OClZBF+zBuSakYHqtAMYodrl6ivZbIuWOwrt0yv/Dn/YxQbcVyZyc8qZLQjO2nvGwwdxxj/OYmcMDPCiAV24zld0VqCvsX6+glvzidQ/K7qHoeqvy2annay8SzqJvGXxXzG5bNlISwN7sUTTXja/5y7OuXlUPuAkQVU+54145D7gv6Ffulrsbfsk9wMPy9pYs2JfbRsUQIDeQHKiYOzW3e0G2Ji+4Aiz1bxYd1AIFgB34un4hYcUvbx07wUuWjjaVAunyrYda0N4swJPOkSYRvROcRSPQZpEdflI1J3WqmUebGrr/ErX6xZPQF/9vJCxk2TAy9DCNDD0ic6XH9frFMhFwomXY6jylieLGoswpE0pb920ZRUSADgOmsh0ccGD+owoQFaQQFfJSu3axEhS8RCRPNzohUNV8+NIdyxBWAM88qEjfJQSsfV8KuiSODqytJbJkB2HZuoBdQJeSnkSRjTde1zt5WBAX+jgZtATvbxm4/r3n7VM25/t3i2l8O6pi5x1i7u6oOGRFOMyDcb0N3apqXrBhhgAAIABJREFU7wwV+X75Efp2CRvSRTbfaeAbhO+850WFDBzJCyQVVYXFc/TV6/kJf5dF+y21qJHxxvC6dmT8LyIicZW9TGsZrP1eRYbIODFARO2EbFY1AYKCiO+XH9Ug6QDd8km1nB7fBfj/xhM2WIKB4NOSQe8gGDmzrSfH2Ie/bKWlz/nAVP2t0kFg1mUHgu6fT8pTwUzJhOaIAqKy51p1n3bH5ey+gAvPaVcXa7wOGeptl6OMaw5r8yCNdLvQxYEOQPzeOhHwKpkLYox6ULG/6PMK2m85693lZE3zHL1YAJxa6HbzVia3KKl1KRgLS7zVqTI/b3r4qqI2lAdfqsOnYQySNK2nbpP6f3GHMJ0qwitMql0wPQFyrePMXR5qsqRMSKu7qHH1oDsD3W3ocuOJ3t3+8/qT9NVf1u8YdKH8Yyo6AXcKOjd0aTdtmyUphzH50ieRwth2qJ5bK0h7bfRaFXfZGgPOv/Vdq4bzb4mKfPB3NbxxEUoq6Oy0tfhLMNiNr70EN+EVN8FNgLziD4C7fb4H3Be0+3S4Hni5PPDk6TMqPXh5eIcFrAMW+rhmbDLjl8t6e9YU77+Urt195DEpIEUCWvulHEpCZSU7wUuWvrFNimuQDaKgL/gNQPAMfojtp294qEEV1ocVA7X/QyVpkX7sQ7eomnbR3gvUdtp2le2Gj9E7GrzZPxIPDx77tir0u7eL0vqjVy0VbbLNAZIrtAPwhImydxMT5sp0sa6zMOZVsJuNuuLGikkJ48ViVvvJ4FEA6yWCh3KyJ30OIDdAsC7DLZet8Wm1XNqQUcvsJeMwR4dsEBFMi/gqRETJTUtnsUDyifaCikd0jvAE9+LBo2cafvaz5wEMmW/062aC7rqj1jAh06a0KEmV86RVUjt62REattRZAgQLyIL+LCNmbDlNX85xXg0s44Qyr8n6WxtcvxChYp9Fxi4LNPOes4WfVdAw/Xmy9sgVajpJHU7NrGdqy1JUIZca9rzSzbcxqO/f+2jyupPcGdt71XBEXq6SAEGgr9mkzR6JbSNMy417jzQ+Kr3zw2gkiK1lnYasd4MTOCWQCoMbSyYrDl4m+PPqnUe2eJKgFwmdh4+facTM1fKmo0IBLxIi6IIVwX2hOwDk2REt2bvNtwWHaNc+HQKSB/+lqg9FBhsk8IEqSRbAGx13mDhA19Kqw/8yTUYxy4jGRQmJGn/+poMz4b0y2TS4vv/4sXVVtxLep+Cg4JHHKytyMHDUO8UI7wdeEYP59+vcjftUZehKbifp6HeKEUjdVQXfM8MZv6/4RkDHUYspWzxUochlTx81OF5A/8q628rnTE3TWgXT1A0npckK3ZAmwVlooCEBgmKxsSuPediJLvBimVNIO2beK5OVOtXIwz2bqPqRN06HMEPnFJ5XM8SZ/s6sVzSTtHvOW1sier4bX4toj7vrmT3gJkDcZ8L1AMcD7gvafTRcD7x8HgDe/eczdmjEo6imHN6oCGVNlejlM9RLi1gE376sovU2eIjqJSQ/zIcL87YBSYBxIBM0CsgwG5XMHP5frGASuCMmtyjF9SQSJ0X7L7F10O0ckoc+qpKTvEmAeHlrmdMBlbbz9A0uSalozemtgjWM4OBB3sGasdZAgmV5p8oel1iwAk59EidWDDrUv7YWUEdXhhkmBYd6BG39ISu/qEyVv13ptWoEpHGIZVUpypSjk6pb7XzC5xGdBYCAYUHIiPyTKlFcumpKoorsEREhIwDeZfYuOn/zAYE/o0tIXmbXlkg/8Lx1OEBeIL5b7bzURrFDghegkflcvy6Di2LpsVP1zprP4mwQ2cuqZMZvXv3iAZSrxwJ6/JSNC8/SiWRZwT5WTHSMlXX/ANv/Uy9Ihe2Q76reP9VxMnLm1Z2raJAodkSUeDQS0QPayow1j+4jJF/jx4lFXy88SHimWIKuFBn8EotgnNU1JNubDoEkGoeCDOD233v0VKZOeh0J+7FNSlCtgum1sZduPRD+fqESv4piYlS6uOIAJK/8UVRgXF6HHms0boOFT03RzPBhsoRune/W0P4LbJ4uu2uxxiOJtvXUdY9Ln1XLpXFyIDiO5x3C47TwhQ34vkMixldV+/iNAKG6P3ggvNlvgjix6ED/WhYVveftpV82nLL8PyAo//64fHjHgcraPOhA8ByB76P+mPUWNeiqjR0rplQ9uuKCBoQKx/3eujSVDkylceP1NEC7iiYhOYNCDl1YBQtIxqVPFl8KCVunUHr64d3iVLjPEtvJXqyPDpbbD59wzdVtxdkIHSBmiaykr/Tm+WCAG1/zgRNdFV55wE2AeOU+d3J09oD7go7Od9fdW1T2AA5Qj54+ozgxY9r6oI9KewbJdMspW+ju82ADoJuGNSris0qgq3ceUuWhKx192AM/HwdDHLRkQV8QA685coXAj2IUMxY+q1JraIPC1DDoRZKEdf/swj69rAkQcHWAYLnz7N22H1NAjr1TKotXFdro9Nh68rqlehCQX6jqA6E28JBjxoxBvg6k4BkBZAsq4FqUy0Yda+QJxztmBRBtO4gzYU67svTWWOshnjUc1Xq/bz7NJGhFcO72gyeOAsQ6JJKsapuH3b368L8EomxfCI8MG9WaeFegctsbWde1qgZrh/c3unrwDjcL3nPDGxdVWsYJBJ5RMbrT8qRPorSWPmjwwgM0fpWVr8iOEgStK+dOQ60rBUohEssOXqYlnYwypklxqlMogwZVY4aGMweKt5++TttPXdcSpDnSJKYKQ1YwTQXcx2fVwzqZjIJqbXRPIFDvjdjp7PFmHdZcGSTU/E/LU4GMYngms178npUcyA7gAZoGHENIPuJ5mbvdChO5rFMlQrV9paErmVBwqj4wklfrc2oMX0VHTAUHMn1pksSjLRJOHLvQh7I10XGEziOIDGIN3SNvFguQqfTpdad8GHaM0KvcG45bT1tOeiYP7OjBWNn7TIV02u6asvHGTl/jWB4HlEyf7DqgFj+plou6+YCzA0k6wONNXHNCg519mcT4t2O0C4lEwEs+NPHWoMAGiSE7AvJxlh9BNF8uZ2pCct4s23pWp1SJ40mXOXnlrrD4BMVPP71fUjvv/LrpNHX/Q63rEl0b/d54kQCxQxBvNlovCrDb8Qw9SF73qptP2LmSNVVCWtW5Ci3Zd1GDLzMKElz7+oZE2/OtG1+T/om4A/zsATcB4mcHu+qjrgfcF3TUvXeu5a4HooMHTl+9R5tOXKWMyRMQAtQyElG7e0Zr/9BFh+juoydMOBqePp1wE4etCt+s4LbcYz4OamYSQvy/mRQX3Ryvfb+Gzly7ry0LonFgUssI5FmJE5Ef9GCXrztAEGA0d7nYuR/oRgDR8LsT7cPMxI4Zg1pXDKQxplZ/O+sfH1RH4zUBqa1ZEFRAEDZFwjj043tB9PmMnRoutr8EVXd1C2fQ1PP4YXyxNmDHPvt9p1SVDi8yfMkhGrX8qGU8cM2v3H7kKAEFDp+3S2XRoLh++n+yT57o1ZDm65PXnfApPAeLT8lX90CHZwKsBw8DPn+GpLTgeVDUuFckTfD+Q1By7vazdPHmA9p97qZtrgOjTh2CQv8/VPXvPHuDUiaMSwhOsN63X87ebRumjndP9e4f/Tr2tu3Uda1aGhjwWJ8FhTipeRBVy5eOygxeRhc4yRHoNAesRe8okKoDcsUsIuJk6R+OYYBO9mxnjq/GyqB/wKsVHJjK1nJ7zt6k179nY8MjcPbjmhO064wn7KNxASSqMiZLQCEjV9ta1zwYv5N/flTO479FcHq8xQBTeGiAmKhcRFLudBN7+4ZQ4nixNegkdL3yBLw3Lcpld7qMo3novmHBzDlSxpmkd940GLve0j1hd53xzUpQSIGwjhqWFO6zmG494Fek211PZXyf1/PT+4z7VmpgKBP2TUVnRI1BB+W2/4fH87bT0B/26l2ALN3mjglwlH3zVmHb5wde1x+Kl9CZwfoND+1YSUu2y4SX8ETHOJKxgDZGsQ2El4hhrWEu4rh+9xEV62/lypLZh8KfLT2rU8K4sanVz1uF3CosXSgS29yjOh25dFs7W91//JSZTEJhy6ytZy0JNt53kMzuqHLdja9FlTsVfe10EyDR9966O/PSA+4L2ksHutNdD7geiDIesAObAW6BAfXCiAZ3n72h4QTjoAFi9juClm+jM1hY9ag2XnbgMgEiBC32cRRa6XkEkVjr4yo5PXB+C2YKgwFAYDGw23wS8C+GmwqIJjPMjPmmAod9astgKaax6GHY2buGVs2NiuCIFh27GRAnCLiKxB/8J+b10NHyQ5Pitg+/dv2GbhMRN4CuL1faxLS0YyUa8M9+mrjWmqTY1bsmnb1xj+qOsk+WOa5pGAwMkmeNx2/gQlbx+Dl6/rnHFs+HzEeoEkXlJeDIdPlq3l76mQGrIdNlvv7T+0FaoghEuTxuA1RO7u8bEg6jgSTwl3N209ZT1yh/xmSEzjVfJd+MQfnbDx5Tw3EbtCQgpGGJsKCRHoTR99Jm6lZavO+S3a0zx+M9hwBIkvhxtH29++MmOnQpbH10wnz9VmEq1m9JeBegrgSQd6jAZQWk9a458GWVGrTMwiPFMxwQKfM/DavG1wVdDqUGhdqCGOTp1zvvfOI4m0pkHWt6QsmOWlbVrj4fyQRWd5NRf783CtCt+4/p2yXOOWygr0hAMpr3cflw1Qjag0zcCUzV/n4hWsCPJxWGLA8vULDjK9HYWW3LUMlsKWnOtrPUaZYnqbJxHqCUOtTI7atllfSo8BQoKRIM0ome649ZZ+FJs6sb/BetK+ZgTkNyN0ePBT75W7Zj18A3C1KTYCuvVOWhK+jk1Xt2VEX4WJC2gzQc37dO+L38YXDqxHFp1NvFqGzO1EL1649d0Tjl8mZIQrULZvD4PVe1i/eOm922jMbHk5PxPM1pV4ZKZE0pXQId7m9P2OgxDr/96Lgxix3eLVYXq0qyLaRAOiqYMRn9ufOc1sGCRIzOidXnr300ZT2fQyp76kR0wsSbY37u7z58QoX6LLacOVBQBD/P2nbWY9sgeP/+3bBv4OgobnwtOt7VqLUnNwESte6Xa20EesB9QUegs92lXA+4HohUDwBGB3A6KsKr5j17/R6V/4YNsWLWu7FbNQ2H11sRBSmAR4zALZIkgN75omYeSpYwjrZknp4LLTABLFuQNNl7ToybDQin4Y2KesUrAtz4J8+e+Y3wW+RnVAgOaVAkDJqo1yIp7ry390w2HxwTSzpU0ob5s/oS1dOA2JKJDjPzy4aTTELSE4PraPBQZQbb5yoxdnagA2j5wctMvGsePNU7EzbShuNXZVsIvw4iVHRwLTt4mQvZZa629pagV9m45wNDO1aknGmTaM8jErO7z960q0JpvBFij5XkqZArNWVJmVBLTCJpWixzcpq/54IUO1xp8eeDvm1YhBqUCKDBCw7Q+NWe0FroEAH8ipkcFQGooGwpiQX/h8BN87LZpJBCZhtZkBsL91ygdtO329kOdyw6utDZ5S/Bs4KAKhLWASk8+Txk0D/oBHujaCZbpvHeBapKWpXPrpEr7/Ly2S4ckIz+MiRAFu+7SG1McCqqNoHXC92mLAFJeYHei6WJHeNcVHEv2ndRuLz+vE5YfYwGLeDDDPHef6p7M47DswKIMCT8wVvB4yxA0LLAV4udLGFrDqBumk7aRDtOy3+LRIrfDc5CgwwE0MaxeIcBMi+ixcz1pq/vSx4xlT3h/YYqfLMkjR+b2xWjw5MNWXTQq+5aFfv0MYB66zCDnQhERwqI7pEoiAiZv/sCffSr9f2/4ovKhKA/Eq037j32MGXie0FUPX86oXl4Fj/7fQetPOR53tA7bsyTZ249Q10UoWE/KJeder+e30NFs0mbNBhekYj4FXlcKLo+/IZ/YUjeYh8rO1fWChuMwnrm21XOQZtPXLN8U0RGwjcinil9DTe+FpHedtdiecBNgLjPhesBjgfcF7T7aLgecD3wqngABMczt3pWIWHv5g4IwCEt/6JyOKGl0T8ILBTuu0TjQxCJuWrVWx+zqglfL5KREOzliSoG9TulMtNvm88ITdTx81VgtZCIAXG1WU5+XVf7L54OcEV4i8NvXDNh3FhalTACaGObltASRBB/VPnavb945tZ+WVWDPwNE29SNVlJPuzq9GY9AODp8EDALHhTq0RFUPV86mtg8iJxWC7Nw2wfO369B6JgF9wpdCXplIq6rVDca9egV1+i2QscBIJfMAm4CcBQg6I9xhfosidCkmI69jSpW2Ogv6Vk3H7WqEKjtLWjA0giHh8G+9CBbzRGr6PClO0pb1bvn0DG06cQ1jzldauWh9pVz0tQNJ4X446yFdI4W/Vr/f/bTJEbHk5KRpkEImCFwJhP8hqALEIH8dEnja5xAMkx5dM98+vsOWnc0LBH4dsnMNLh+oXDIFxZXitEOXneVPgbB/8u3H1L6pPHDK6ntQi+a910kc3IhRJbMT/p1JOj/+eRF546M70SkF3wcxneLcez+87eY8IgifXgWhyw6JNyKnnwftOAATTAlAI0T6xXNSCPf5v+eixYBvOaPa45r3VVIeKDbTq+4BtQduKDA2WKWWw8eawTI/pblnSpRx5m7lJLxIlvK5UxF01uVtgy5cPO+FkCWBYH9sU8edwu4t1i/Pf6wATrRVYrktVnw/l17lB0cf7NYJhrRuCjJnk2RzSjmUH2vQw+KKVCMxLpXgDntXiefv1xk0cuDpdv1VU1KliCOxgFi7nyQ8fbhGwoFFSy4WJ0Tw2zI7G1nPRIMIge0LJ+der3mmQDhde7qegJSJKDVnatw+TbAT4f3Kkv0pA2SRegeQYdO20o5KGuqRJbhPf7YQ9M3nfb4f+z5FKMTyklSPsIeDB8s5MbXfOBEV4VXHnATIF65z50cnT3gvqCj89119+Z6wPWA0QNrjvxLzSZ5YnCjeq9U9pT0yW87aM+5m1o19NdvFaKyOfjt943GbaDNJz2DcsZ1cNgAt0fmlJ5Vut7cDZBTdzWRXspIU1nY+iwbUFEpI2DU15IlQGrkT0dtKgZSg3EbPJYy4rizqu0/rZqTOtbMo8GNAU8YxM2A6zFXhqv4EHBdCKIjqIigPQ5wxgrYJhM3hgcSVfS9CmOMkFyoBhy88KDmeySNJrxXIpxAuUDvRRa4Ipl/NnWvpgV6jTJzyxnqMmc3cyoCyUs6VNTg4ewG6IBqtb1XDUqeMK6mGxXOLSZv+b/27gNMiiL94/irIoIgoghIMhEEAQEBCSomDJgDmFHB7CnmeCdiFrNgzqIoGE4xYkQRUQEDYkBFARURxAAKAgr+71f+e5ydndAzuzU70/Ot57nn7tju6q5P1fbO1Nv1VtLf12B/jCmzfio3XjO1qaI/1wSCAn4nPfSePfNh+UmritYfnH/yDi3sjJ03tVc+nWdH3Z98gqOyrpWqHm20O+6M7dJuCJt47kun9bKWDdeygfdNdiuG4su/tm9uZ+3S2k4b/YE98X75zbfTtWfEwC1d6kEVjW+l5anoCoXgemrntCF/7/eQquiaSjcSH/DUXija46LG6qslPU2/A1oFpedifAmCaEr9o1Qt6dIdnrNra9ObuMmKVmmcOuoDF7TWJLnSZSl4kYtvprGktHPN69fKasI0Ple8AkHdLn/F/gyT2zHJzejvco/myfdCyeYtbFWtVIm3HLqFDbwv/e9VkHrt9Ec+SLpZfHCb221a3+4bsGUmwnI/V/8fetc7aVfJKd3cdQd2LHduur2Ksr6RNCc8dEw3Gzr2swoHxPT3SEHM+KJUePvf9laF6861vU+dtJVt3rRuudPDvJWf6zUTz1MKS6Ua2i5h0259HpNZqvRGx2yzsf17980y7s8VXE8r+TRZHxT9PmsT+Iuf+SRUU/SsG3tqL5v+/SJT2r7EX2O9lNC8fub9NUJdLMRBevlhy8tecSsggxKfRnafm98sF7QLXipIVr2C28c/+G7KFJKp9r3IlB4v/lpaWfefhADIo1O+sbPSrCBRqtwzd9k0pciS5X9a98tfSfqCRPsma9vTJ/+TgjAdq/YuU6AzTEmWIjjMecVyDPNrxdJT0b1PAiDR7duiadnEiRPtvvvuswkTJti33/794UEPx6233tqOPPJI69mzZ5W0hQd0lbBzUQQQqAIBfTnRG0x3jp/p3nLVEuz4pez6MrTaKqukTBcR3PLgMR/ZiBT7BWgSTG/2B6sNKquZmjjTxtxPT/3OVbl3x8amZenp9hDRm/zzFi3LeAvaMyTVZrfByXqDtPOG69gZj0y1x98ru4pm580aug2VFTw6oGszU354fXGMn1iMD9Yk5jtWgOL5U7exBmuVnSTvd9tEmzyr/Nv7qRq0rjb0/E/vjBthDn/lC7v2pYrlpc+IWmQHHNilmQ3tu3nsrr/5aYnbq0MTK7XiJnQzpdpJ1uzpl+xabnJXb8bqDdlUJUhBp/RdGkthi/Jc396/S5nDf1++wjpd8qIt/WNlmX8PclDf8tqMjG9xh71+2OP0fNCkd88rX8m4/07YOpMd17/7hqa3/31MZgfXS5V6Jf5+Ur2dnKptb5y9vQsgpwoQKf+43qZP9mZpOi+lPuvXpZlpo/dkb0tXxFrnBvnhx02f7zZ91R4jSo2lN3a148xJD72fNGWSgtBK75NYNLmrFULJAu56s1sBncXLlXs9/Vv8QdBI9etvyb1vzrSxH33vAh6JKZzqrrm6aaNf2b/9VepAfy5WPZvXMwXDb3nty9Cna8WGVm6oZErVkqlSbW68a7tGSQ/Ldh8gbWT86HE9Mgb29PdQG6EfPWJKxhScQ/dvb/06N0v5pnayGx/70Vw7/sH0adwUrJnyn53KBecUUOp86cuZ2Cr8c/39115UlZHqTxvZr1Htn2BhRVKiVbRhenlm9LHdk37m2H3YG+WClhW9XrLztXpzyF5tXeAgfmWlNqnWqk6thNW9JNscPthTJcwEvIIfCnYc+8AU97lMm2hfvl9709/XxJdzdJ+6r8RVHvFp3hI/hyWb2PfhlVinXsb4z5MfudR3evZpVfU2Lf8Okg+4d5KNS0hjpeeRnvPBXkL6XqHP2dVWW8Vuf/3LpCtbg2tqvOjFi8TyxPvfpkwLlnjstf062P6dm5b552nfLkz7GT7MviX6rHXig+/adwuXlql70I4t7fSQexPNWrA44/MwqFxp8eI/W+ajr/N5DebX8qnNtZIJEABhXFSZwOLFi23QoEF2zz33pL2HgQMH2rBhw6xWrfJLCn3ePA9on7rUjQACURR4eNLXdl7Caoygncny81amgd7S1VvujdZOnsc8/lqZlsUHx2pCod2FL6SdiNVGxpos08T1QXe8FTtWX7KVCzhxY1l9Kb57wle24Lflbj+G4K1rXVNfGLVM/pkPv7M6/9sc+eQdWlr7pmuXY8o2UNGiQW03cZepvP/1z7bvLakn3zOdXxU/D7NRfUXuK1lahWT1JduTId11NWY0dhJLpnztenNVb7Rmm+Yofr+R+Gum2uRTAQK9jZpNoK0izvHnajN2peDwWZT/XftFfDI3/R4/FbkHpfhJllow1zqVekSBTK3aUqBi9JT06fmyuY7ehK9do1rKAHY2dSU79pK921qP5uvZHsPfKBNwU4BRKwNTBV4VaNSqJxUFTb5asNjlwZ888ye3GquiZcv/bcKtZ6z+dvy0+I9yQeyK1h/2/PP6tLZWDdeyAfdNDnuKBW+Na/8t5ZjPlH4yXcVX7tfeDtqyfKBJ52S7Sfcm9WvZi6f2ss1C7BuiVQKH3fVOqBR0h3XfwC7dp70pLdnLn8yz35b9aTu3Xd+l5AmK/oZqX6TXP/uh3L46qdp/w4EdbZ9OZfeBmf/rUvcGvO9yau+WdvvrXyXdoyKXayuoW792dZfa6cG3y6bcyaU+rdqSczZF96Df61T7VbS5YGyltTe4L60S0p4yUxSAWGM1t09SYmozpXKbp37daN3YBPPEGQtc2qnElVP3Dehq223awLQCoMulL7uUocmKgtx6PgWrmhU40ypLvUh035szbcjT5VeAPDdoG9NLLIv/v04FArWSQKt7g6LxPWX2z9ax2dqmVJup9qrJpl9yOVYvfMxduNT0Ox3vmSylk+rfrf36br8nfR7WHiJhXjTSed0UMEsSABnzwRw7ZdQH5W5dY0ufkRf89veLTEo39ujxPcs8C/TvWum82eCxSVcB6rmhVbHqq0xFvwPXvfi5aTWc/rc+h113QIdye32kqkfPJQVUlQYsXWm0dg2310uUC/NrUe7d4mgbAZDi6KfI3eWKFStst912sxdf/OfNrJo1a1rbtm2tWrVq9sknn9iiRf98Kd1ll13s2WeftdVWS74M3gcQD2gfqtSJAAJRFkg3ga7VFMkm86vC4+sfl9h214xLmxol2GB2z+ETXAqwZEWTA9OG7Bx7y1FfsJUGQW+Van8BrbzwUaZ+84vbIDps0dvFDx1TPj944vl6A7rTxS+GmoxKd+1qq66ScyqWsG0KjvM9WR72Lb9UEwKp2nPGTq3s5B1bJv1xsvzawYH6sn7/gC3tuAemhE65pckB7TeifT0Sy6dzF7nJU0rlCmjC6NK929khd1XePibxmwpXJDd95bY0XG3am0OTUU9+8PdKvWyKfle0KmX6979mc1pBHNtjk3ppUzAFN6m/jxvUW9NtLvzXX+FuXb/Xmkw98I63k+6poABJWDMFYI7btnwqMP1NaHvh2HKrxNLdYbDPV5i9bRR4+28W6dqUhmz4qzNi6XfWqlHN9Oa3AiEq6VIIprpnvYhwz5Fdy/z4+4VLrfsV/gMgqfYBSOerzx1/rlyZVZ+EG1Hlj0q1b1mq+k7crrmdvWvrtJfrccUrblK9okXB0WsP6OACLS0brBVqIjvZNZUmSSs1grSi+r15dtA2sfre+vJHlwpVgUatgFCg5cVP5tmSZX+6VXPrr112hW5wDb3IopVtiUV7fSht34gKLWbLAAAgAElEQVS3Ztkqtor177GhtWtS/kWXivr4PF+rIhQYTZZxT2Pggbdm269ZBM60cvvGJPv8PDX1Oxv0cHnD/bZoYhfu2dae+mCOW/W0R4dG5V42Ctq/wzWvucB5YglWumbjpL9hCsAmbnIepo6j759sL39aNm1l4nmp9vIJU3+xHMP8WrH0VHTvkwBIdPu2oFt2/vnn2xVXXBG7x2OOOcauvPJKW3fddd2/aXWI/v+ll14aO0bnXHbZZXlrFw/ovFFzIQQQiIiA3pbTW5/Jir70JZuAraqmPz9trl31wmemN/b0RlfiF7l7B3S17Tdt4Fa0aGVLshJslJnvNuiLeudLX7JflvyTnzndPeiNPKWbCVOOf+DdpKlowpyrYxT0OazbBjbs1RlpT9mo3pq2S7v1rXb1ahVKu3VV383dJq++SrCxdKb6leLg4DvfTjuxo1QWegOwe/N61q9z05S/D7lM4un+FKzRWNWb8vFFRgd0aZayCXvfNKHS9nvQRTptUNfe//qXTGQF/XMFmvq0Wz/nfUiUEkWTNBXZlyEe6IgeG9pFe7eL/dP4z39wby4XS1mj2qpu4ijHLSqKpZnl7lObXCtAkfg7GX+gViO9P3hnN+G66w3jQwctNAF8YNdmdumzn5a7brN1a9qAnhuH3oNAex5sscE6NmryN27ll9JYndenjX0x79ekb7Gn65AgnU1F/5Zk0+lK26m9XPT7Fr9vQdg6tEJSKyWDohWlW135atjTK/U4rSpY+ueKlIEwpVCav2iZ29jdd9G+Dx/NCb9KLswGzkqHlLh6S+NV46/aqqvaFhvWtbo1q7sVBOmKUo8qBWlllI+/W+ie9XVrrm6H99jIalYv/8Klnl/pUqsm3odW+3a4+EVb/uc/KSYVEH342Mwvo1RGm3zXcc+EmaGfL5nuJVXgTKlttQ9hYlHqKX3eCVO0T5RWhSWWZCmzwtSX6zF3jP/SLn8u/arFw3tsaBfH/Z3P9VqFfB7za4XcO6VxbwRASqOfC6qVc+bMsRYtWtjSpX+//dG/f38bMWJE0nu84IILYkEQrRCZMWOGNW7cOC/t4QGdF2YuggACERNI9rbVmTu3spN2CPdlJd8cWpr+x4q/7KzHppreNtNeJwO22sjO362Nm6BOldZLE3qaNKnMDd2zaXvYTaL1BuerZ25bJjd4uus8+PZsl/c516I0JUrZcOS9qVO5xG+O+uLH39uxD7yb6+VsxmV9bI/hE0JPGmZ7oWTpUVLVsXDJH/bWVwtMbw9/9N0ie27aXJc6Q2m6FITYt1PZ/NTp7mXCFwtcGpPbXg+3J4AmLJV25o0ZC8q8Mal0Hw8e3S1lOhLdQ0X7IL4devv7sO4bpt14NNs+yOfx2hR113Z/p9XR7/aR906y1xJynWe6H/X32+ftaPVqr5FTqiqtPovfE6B3mwZ262Gdy02+3Txuhl39wmeZbqfczxuvXcOaN6hdLg991hWlOKGyU39V1n3lux7tBaDN3/vd/lbSFRrB/eh5edcRf+/Pc8GTH5XZCD6Xe1Yg5dHje9jMHxbbGY+G23g3l+ukOifY3PzqF6bbzePCPb8q4/pbbFDX3qtA4PXcPq1doFh7wDzw9mzT6rhMZZ01V7eGdWpU6t+fY3ttYlpNqud/snLbYZ1NmyprFUI2RX8jlIruyfe/C/2Sg/bf0WegsKuStNIwPpVTsvtTcEkbfQeBKqWA0mcprYAKigISuw+bkLZ56q/jk6xaysbE97H6THnmo1NdEKRhnTVsxMBuGX1831Nl1a/Pzuc+Pq3CqRi1YnrMv8qmAAvu8dkP5yYNhA07uJPt1SHcfNBFT3/s9tlJLJP/3dsFevNVNN61ujddGiyl1dpvi/CfE/N175V5HebXKlOTunIRIACSixrnVEjgnHPOsauuusrVseaaa9o333wTW/mRWPHy5ctdsETHqJx99tk2dOjQCl0/7Mk8oMNKcRwCCCDwj0DixsmaSHzp9F7lNvIuRLNflix3k4zxGxB+NGehm2BPLKf1bmWn9K66oI5WsJwwsuwbkprYHHlMd5s080d7btr3Vq92dbdJo/Y6CFtm/7jYtr36tbCHlztOG1nqzeROl7yUso5J5+9oDer8nTZi5oLF7kthsqI84m/P/DHths6zrtzd3vnqR/eWdUXKZo3quInv6+I2gdcX87fO3dHWyTGVmd4A/WL+r7bRerVcvupcSphNWHWfct+8aV13iXGfzXdBjU3Wq239ujR1OckzlVS5tjOdp5/r2vMWLXW/Ozu2aWCTZ/3kNqgOWzRhG6QfCXuOj+M0cau2xP/+K+d3uhVGyiqWODkYn1pj5cq/7OHJX9v0ub9al43WsQ3r1cq4ef2b5+5g3y/83ZR6Rb+7Sg+SavWcNgPf86Y3Q03WBmZ6JihX+y43vFHp7lo1c8bOraz3deN9dFHOdep3ZJe269uYHFJw5XrRrhut4/LSnz76g7RpngbvsZkN3Hpjd5lUKV+yuYfghYNUk4fZ1JXLsdrTZcI5O9jdE2baJc+U3wMhlzoreo5WVQzeczNb+ddfLmgYdvVkpuvuvFlD0+bPN77yRaZDQ/9cwSulWzptdPngVfBsycVWe0dp7wIF1w+7u+zzWenUPp/3W7l7HLLnZjb7pyVJJ5CTNeiLy/qEWiWhvSUUZFJg4IieG9nG65Xd51M/3+aqcSnN9JzRptxVtTdG6M7839yFVkZ//dMSa1G/dlHcbzZtU0ooBbOSpZhKrEcbqWuzd/1n9o9LbOQ7s10KsIO7bWAdm/392SWxjJ78tZ3z+LRy/x7/Ek2m+9V+YkckrJbU9Z7811aZTq30n+tzkn53Fy/705rXr23Xv/x5bO8mpc0ce0qvtC+rVPoNVUGFzK9VATqXLCNAAIQBkXeBli1bupUcKkceeaTde++9ae/hwgsvtIsvvtgdo3M///zzvNwzD+i8MHMRBBCImIC+0A575Qt7/qO5Lh2S8kF33ejv9IbFWDSBufvwCWUmGJW+aeypvazG6vnblyrRTm/fnTr6g9iEXvsma9sth25RKStSdrj2Nfvqh/I5k8P031eX72arrrqK9b11otvEM7HoPrXhZ1A0gdvi388nrfr9C3Yy5XhXvvAfFy8vN3EcbAKsk08d9X65/QWUEuXXpX+4iYed2q7vNrGcMf/XpOme9Nbtubu2dl9INQmpTezP262NS8tRlUWTJ9td/ZrNT0hrFX9P6vfd2odLcZauLQrYtBk8NqvmdmhW18YkTCQohc6uN4TfV+Safh3cCqywbxkn3qBywGuTd23oHr9yImxDtBGx+rn7JvXKTT5oVc/WV72adINprRbR+IxP56LVH0+cuFXKnO76vdWbzak2X9ckkcZ9NukCx340145/MH26mMBCwaa3zt3BBSBTvRmb6LbWGtXcpsWJGwUHxyn9kPYZWrN6NVPKHBWlD/ouhzz/zevXstbr13F7fmRTNHmU6pmlwPB1B3Y07U3U97a3sqm2Qsdqom/IXm3t+pc+TztB/vwp27hJdJW5C3+3HlfknnpJK/5eO2s7Nwn9yqfz7Kj7p1SoDbmcrJReHw7ZxbLdq0rXWrP6am6vmMpMlabnw40HdrQ+//+MTLWqM5e2/mf3Ntaz+Xq227Dwz7t019FnJr2ZvuzPFdbrqtdimzzrnHq1qttLp2/rPlctWvqHDbh3ctqVRfHX2WS9Wm6zbgUM9JlG+6gMe/XvoE3/7hvatpvWd/Ullgv33Mz9fMB9k0OtGNMLCZVR9Jzc8brXk/5O796+kd1wUMdQgZbKuBfqSC8wZdZPbpVbqr/fSuukINdG9WplvU9LqlVkUy/cudyG56nuUuO9720TY6vD9NLCyKO7ud/bqi7aj3Dsx3NNq6AO7LpB0tRrVX2PlX195tcqW5T6shUgAJKtGMdXSOCzzz6z1q3/2Rxt1KhRduCBB6at8+2337YePXrEjlEdrVq1qtB9hDmZB3QYJY5BAAEEoi+gVSDaBFMbV7ZrXMduOayzaaKpEIpytGtysl3jtV3goTKKVg8c/+C7sUkovW25fesGGffaiN8wXGbHPfCuKd2Fir50apJ06P6bl1uRstG5zya97fjJFE2IaJXHpJk/xY69bN92dmi3Dd3/1xt1uuc3vljgUk79a/sWdmrv5J8VFKQ7+7GpsYCJ3n594KhuLpVJIZaJMxbYwPsnJ9309qxdNnVtraySbVqlZCkb5i9aalteHn4DYb01rJUuF4z5yKWjiy9h0imds2trl/9fY0QrivTGcrLJvEQj7VWiPOCb1P8n938yR6UyO+exD2Obuup3X/t7aOJfAYXH35tjD7w1y/3vE7drYb03a5i2O9Klmdu6xXouZVk2RbnpNWm+4Leye7+ojsTVNSfv0MLO2HlTV72Cg1rdprdxE4smjbXputKAKde+3sj+9uffrWXD2vbQO1/bDS9/7p4PvVrVt2EHdSy3ykjPkBNHvpcyaKLrKUXU4uUrylxa+xUpSNr7utdt+Yp/cuen89jgf/eoTcSPfWCKvTPzJxfE0iqX43ptYot+/9Pq1KzmAkqaCDvtkX+CxtkYB79nA++bbK9OT7+RbVBvkGM+3SouTWZP+XfvMs/uZHvy6M39l0KkPFKKo/49NnK3oOfGIXeVX4mlTbS134U2Ms6mKLCh4LXG+y3jZqTs22CVgrx3uv51+zIumL5e7eoumJ1qslRpbbQaLNsAWKp23HbYFi6wGb8KTkF3pV0M24/pjDTuFPTT8y7dPi/B38DOG6yT9MWA4Bp9Ozc1BYRV3pyxwL3koHqVPumuw7ta+6b/bJatv2PT5vziLJVu75RR77sAsFY76aUTpdrRZxa9KHDdAR1ts8Z/B9mCov7R75he5NDq144Xl1+1GfyNVfqe/ne/kzbAHKQ+y2ZMpTt2xvzf7LTRH7g9abQqTy8yaJXmgK02znoivbLuiXqSC1z5/PSk6Tq1ivfK/dtnFdCPv8K46fNd8C2xZBtoU0DxkSnf2oJfl7n98Fo1XIuurCIB5teqCJ7LxgQIgDAY8irwyCOPlAl4zJ492zbYYIO096A0WGuttZbpv1VUR79+/bzfNw9o78RcAAEEECgaAU2uamKmGFIuVAaq8p9r74PGdWvYnps3tiV/rDDt75JqJYI2ZlWKjfhVMXqTV6kfNAmrSeNUK2Y0uTx6yt+pLoNyxk6t7OSETS61QmHEW7Ns1o9LbPtN69vObdcv11RNvmuyJD6NUTIP9acmh35d+qdLTZTN5qaV4ZttHe/O/skG3jelzAa/+3VqYtce0CHnyYVk96AVDz2vfKXcxLQmzvXWcHzRG8lK15TYr5qY00qSsGmtgskMvUmqfOnqXxWNgcN7bmRbX/lqLPgQXF/jTeNBk616uzRxxUTiHjmaBFR+f43H9deu4Sb1u2y4Tmg7vXE9b+FSW6/2GjmnRAvuXT6H3Pl20olQBVVO2yn7l3zuHP+VXfbcP5thKxaqYOP+WzS1R9/9xj6d+6ubFNUEon4fg6K9Bva95U1bFrdRr36WaZNZTZhqf5tGa9dIaajUdNrIeMFvf39+D4o2yb7p4E5mq5jd8PIXbs+FVVdZxY7ttbEd26u5O+yK5z6128d/VW6I9uvc1MZM/a7MxsJD92/v3p5VUYoR/e5rkj9Z0aTvPW/OtKte+KxMHZl+H8eeuo1bmfLVD7/Z3je9WW48Jp6vif7Xztre3YdWnaVKCaa36y/Z55/N7VXPh9/+YtpAXCtodL6CL3qLWpudK31KqqKxOeGc7WO/j+/O/tn2v3ViucMP3rKZW92mzYH1DAxTtCJO+9Do90ZFzwlNnj/27rc2dGzZjX0fO76Hdfn/VZ+avD7vv9Pcm/z6fbts3/Z2x/ivXB8kK0pB16bRWnbhmI/t7a9+tNaN6rg9pfQCQrZlzw6NXZqkVOPg6Q+/s1NGfZCxWqW52rh+Lbv99fLjUXtQ6TNBphSCGg93HN7FbbK9w7Wvp7ym0l/Fr5hVcFN7SjWuWzPjpL+et1pBVKt6NfeM0t84BSnjf9/TNbbPjW+US6X32pnbuRSOKroXBfN+XvKHe+lCK33jy62HbhFbZZMRNYsD9DtbWS93ZHFZDs1CQGNtxFuz7bXP5rvAqAKsWzVfz6XEzGY1Y+Il9Rmy8yUvlfk8cvTWG9t/9tgsi7vj0EISYH6tkHqjNO+FAEhp9nuVtfqiiy6yIUOGuOtXr17dbYQe5g+j9gH58su/N9JTHYMHD/beBh7Q3om5AAIIIIBAEQlobwdNTH238HfbqsV6dtk+7dyX3SXLVpTZwDTbJinYss/N/0zCaiLvlTO2DZ3iINvrFevxegt/+KtfuJRg27aqbwO32tjLxJByc//7iY9iTDu2buCCW/FpJPTDq/tubv26NEvKefg9k2z85z/EfqY33c/frY0LcMSXbhuva6OP+2eVrya7NCnbqG4NF2xQGTXpaxv81Mduwlopom45ZAvr2SJ9+goFR656YbrbR0PBD02YBPUVQv+rLXeM/9KGvTojNhGvDVmfHbR1TvslyU37ECh9mzZm1ioP/Y6GKZrUPDMuBZnu46XTeoXaOyZT/QpIaOJYK8K0ekTjpUPTtct89tfkmd5ij5/kVMBJAdf44Inegn/tzO3dygWllfpx8TIX1FL6ujDfJeLvVXsdaSWDJnUVTLv46U9SbmStlDs3H7pF7HRd/7bXvnRpiNaotqqN++yfca6D1D6l3FKO96AkS9GnlS4jBm6ZNKCm8at9INQX8asXvvzhN9Nb0eprBW/jy793a2PH9Nok9k+pUtE9fEx369G8nv342zK3j1Swqq77Juva1X07WLXVVrGrxn5myp2vFUB9t2jiNuZNFlSWwUkPvR/7Xdcz6YI92qTtD01qDnr4/TKbeOt385QdW8RWr8S3S+Oj321vlQsYaqWfgkOXP1c2ABOcq2CKgm3pyn3/C8QMeTr5PiUaF1pd1q7J2jZrwWLbLmGvqn07NbHrD+zoqtc9KpD3zIdz3UpCpT+79fUZ9sE3C00rzZQuT0EMFQWlFJxKLLLTPiVVVV6dPs+OGfFuLHCdLoCkN+r1N0IBMK3uPKjrBu7zAIGKquq96F5XvyvnPP6hCwQqgK+0c2H2NYuuSHG3jPm14u6/KNw9AZAo9GIRtWHgwIGxPT822WSTWFAjUxN22GEHGzfu783QBgwYYPfcc0+mUyr8cx7QFSakAgQQQAABBEIJKN2F3lRXLuT+PTbMaRI41IU4KJSA0u3obc5N11/LTX7qTXRNyt47caZ989PvpreilRYtVdGbyJrk1OSF3gZVWpe2jde2PjeOL7PZbtj9S5RK7btffndpUHLdlD5Uw/N8kNr1zNTv3Fvae3VsXGXjXumS/vv+HJc+56itNym3KXGeWdzlpn270KV+Uwqg9evUsDsO72ybN02+WW5F709vzysQu3bN1U2beI/7bL5N+OJH094iB3ZtlnKFmCa+75s4y0ZP/sYFQw7o2sxNBie+da/jXvxknptI1/ht2aC22/g328BN0E7tDaQJ6Cfen+P+SZPx+h2Lv65SPXW97GX3xn5QtMfKS6dtG5uoVuDss3m/uv1RWuaYFkZtUxo1rQTT6qowRdf99PtF9uNvy00pzBRoSbdSIVk6L6WyUco0rb7QyphpcxbGUmsdv21zO7fPPymXU92TApFK05WYBk4rp7S6Lr5c99LnsVUPGhcPHtUtFtQI0+bgmCffn+NSW8WX3m0a2O39u4RerZHN9bI5VgE27R3TpO6atlv79TOOTwXRlLSwkILL2bSXYxFAIL8CzK/l15urlRcgAMKoyKtA37597fHHH3fX7NSpk733XrhNG/fZZx8bM2aMO091PProoznd93XXXWf6T5gyd+5cW7lypTVp0sS+/fbbMKdwDAIIIIAAAggggMD/C2iCUXsyBEVvjN/1xkyXc37nzda3rVuGW6UAaGkKaKJcK84ar12Tt8uTDAHt+7Lyr79SBs5e/mSenfzw+y5lkYJIWskVv49EMY2q21//0q4cO90FORRUHXVs9zIT73qmaAJ/3VprZBXA0yqxI+6ZFNtzZtOGa9kjx/dIugJRAUulWVQgLmxqqURjBYy035H20lGKKq20uHK/9hnTNhZTX3GvCCCAQDIBAiCMi6oWIABS1T1QYtfv06ePjR071rVaG5tPnFg+N20ykoMPPti0YbqK6njuuedyklP6LaXQyqYQAMlGi2MRQAABBBBAAAEEEECgEAS0ckt732jVQqHvdZTJS5txayWY0trlunom2TU+/m6hPT/te1Oqvr5dmlqdGqtnupUK/1zBK+3Gow3MKQgggEApCBAAKYVeLuw2EgAp7P6J3N317t3bXnnlFdeubbbZxsaPHx+qjf3797cHH3zQHbvjjjvayy+/HOq8xINYAZITGychgAACCCCAAAIIIIAAAggggAACCCCQtQABkKzJOKGSBQiAVDIo1aUX2Guvvezpp592B3Xt2tUmTZoUiqxfv3722GOPuWNVR5AOK9TJOR7EAzpHOE5DAAEEEEAAAQQQQAABBBBAAAEEEEDAzJhfYxhUtQABkKrugRK7/iGHHGIPP/ywa3W7du1s2rRpoQR23333WNor1TFy5MhQ51XkIB7QFdHjXAQQQAABBBBAAAEEEEAAAQQQQACBUhdgfq3UR0DVt58ASNX3QUndwaBBg2z48OGuzfXq1bMFCxaEan/nzp1jG6affPLJNmzYsFDnVeQgHtAV0eNcBBBAAAEEEEAAAQQQQAABBBBAAIFSF2B+rdRHQNW3nwBI1fdBSd3BzTffbCeddFKszYsXL7Y111wzo0GDBg3shx9+cMepjhNPPDHjORU9gAd0RQU5HwEEEEAAAQQQQAABBBBAAAEEEECglAWYXyvl3i+MthMAKYx+KJm7ePXVV90m5kF58803rWfPnmnbP2fOHJcvMCiqY/vtt/duxgPaOzEXQAABBBBAAAEEEEAAAQQQQAABBBCIsADzaxHu3CJpGgGQIumoqNzmb7/9Zuutt54tW7bMNWno0KF29tlnp23eqFGj7OCDD3bH1KhRw6XNqlWrlncSHtDeibkAAggggAACCCCAAAIIIIAAAggggECEBZhfi3DnFknTCIAUSUdF6TbjNzTffPPNberUqWmbt+eee9ozzzzjjtG5wf/2bcID2rcw9SOAAAIIIIAAAggggAACCCCAAAIIRFmA+bUo925xtI0ASHH0U6Tu8tFHH7UDDjgg1qannnrKFORIVt577z3bcsstbcWKFe7HOrdv37558eABnRdmLoIAAggggAACCCCAAAIIIIAAAgggEFEB5tci2rFF1CwCIEXUWVG51b/++ss6deoUW/nRqFEj074erVu3LtPEuXPnuv1CPv30U/fvHTt2NAVEVllllbxQ8IDOCzMXQQABBBBAAAEEEEAAAQQQQAABBBCIqADzaxHt2CJqFgGQIuqsKN3qlClTrFevXvb777+7ZtWpU8dOOOEE92/VqlWzSZMm2U033WTz5s1zP69Zs6aNHz/eunTpkjcGHtB5o+ZCCCCAAAIIIIAAAggggAACCCCAAAIRFGB+LYKdWmRNIgBSZB0Wpdt94okn7NBDD40FQVK1TcGPkSNH2r777pvX5vOAzis3F0MAAQQQQAABBBBAAAEEEEAAAQQQiJgA82sR69AibA4BkCLstCjdstJbnXzyyS4FllJjxRelulIKrOHDh5dLj5UPAx7Q+VDmGggggAACCCCAAAIIIIAAAggggAACURVgfi2qPVs87SIAUjx9Fek7/eabb2zixIk2Z84c184mTZpYz549rVmzZlXWbh7QVUbPhRFAAAEEEEAAAQQQQAABBBBAAAEEIiDA/FoEOrHIm0AApMg7kNv3J8AD2p8tNSOAAAIIIIAAAggggAACCCCAAAIIRF+A+bXo93Ght5AASKH3EPdXZQI8oKuMngsjgAACCCCAAAIIIIAAAggggAACCERAgPm1CHRikTeBAEiRdyC370+AB7Q/W2pGAAEEEEAAAQQQQAABBBBAAAEEEIi+APNr0e/jQm8hAZBC7yHur8oEeEBXGT0XRgABBBBAAAEEEEAAAQQQQAABBBCIgADzaxHoxCJvAgGQIu9Abt+fAA9of7bUjAACCCCAAAIIIIAAAggggAACCCAQfQHm16Lfx4XeQgIghd5D3F+VCfCArjJ6LowAAggggAACCCCAAAIIIIAAAgggEAEB5tci0IlF3gQCIEXegdy+PwEe0P5sqRkBBBBAAAEEEEAAAQQQQAABBBBAIPoCzK9Fv48LvYUEQAq9h7i/KhPgAV1l9FwYAQQQQAABBBBAAAEEEEAAAQQQQCACAsyvRaATi7wJBECKvAO5fX8CPKD92VIzAggggAACCCCAAAIIIIAAAggggED0BZhfi34fF3oLCYAUeg9xf1UmwAO6yui5MAIIIIAAAggggAACCCCAAAIIIIBABASYX4tAJxZ5EwiAFHkHcvv+BHhA+7OlZgQQQAABBBBAAAEEEEAAAQQQQACB6Aswvxb9Pi70FhIAKfQe4v6qTIAHdJXRc2EEEEAAAQQQQAABBBBAAAEEEEAAgQgIML8WgU4s8iYQACnyDuT2/QnwgPZnS80IIIAAAggggAACCCCAAAIIIIAAAtEXYH4t+n1c6C0kAFLoPcT9VZkAD+gqo+fCCCCAAAIIIIAAAggggAACCCCAAAIREGB+LQKdWORNIABS5B3I7fsT4AHtz5aaEUAAAQQQQAABBBBAAAEEEEAAAQSiL8D8WvT7uNBbSACk0HuI+6syAR7QVUbPhRFAAAEEEEAAAQQQQAABBBBAAAEEIiDA/FoEOrHIm0AApMg7kNv3J8AD2p8tNSOAAAIIIIAAAggggAACCCCAAAIIRF+A+bXo93Ght5AASKH3EPdXZQI8oKuMngsjgAACCCCAAAIIIIAAAggggF8jIjUAACAASURBVAACCERAgPm1CHRikTeBAEiRdyC370+AB7Q/W2pGAAEEEEAAAQQQQAABBBBAAAEEEIi+APNr0e/jQm8hAZBC7yHur8oEeEBXGT0XRgABBBBAAAEEEEAAAQQQQAABBBCIgADzaxHoxCJvAgGQIu9Abt+fAA9of7bUjAACCCCAAAIIIIAAAggggAACCCAQfQHm16Lfx4XeQgIghd5D3F+VCfCArjJ6LowAAggggAACCCCAAAIIIIAAAgggEAEB5tci0IlF3gQCIEXegdy+PwEe0P5sqRkBBBBAAAEEEEAAAQQQQAABBBBAIPoCzK9Fv48LvYUEQAq9h7i/KhPgAV1l9FwYAQQQQAABBBBAAAEEEEAAAQQQQCACAsyvRaATi7wJBECKvAO5fX8C1atXtz/++MNWXXVVa9Sokb8LUTMCCCCAAAIIIIAAAggggAACCCCAAAIRFJg7d66tXLnSVl99dVu+fHkEW0iTCl2AAEih9xD3V2UCq622mntAUxBAAAEEEEAAAQQQQAABBBBAAAEEEEAgdwG9YLxixYrcK+BMBHIUIACSIxynRV+gVq1atnTpUlMgpEGDBpFrcBCBZ4VL5LqWBqUQYMwzNEpJgPFeSr1NWxnvjIFSEmC8l1Jv01bGO2Og1ASiOubnz5/vAh81atSwxYsXl1q30t4CECAAUgCdwC0gUBUC5GCsCnWuWZUCjPmq1Ofa+RZgvOdbnOtVpQDjvSr1uXa+BRjv+RbnelUpwHivSn2uXRUCjPmqUOeapSBAAKQUepk2IpBEgD+sDItSE2DMl1qPl3Z7Ge+l3f+l1nrGe6n1eGm3l/Fe2v1faq1nvJdaj9NexjxjAAE/AgRA/LhSKwIFL8Af1oLvIm6wkgUY85UMSnUFLcB4L+ju4eYqWYDxXsmgVFfQAoz3gu4ebq6SBRjvlQxKdQUvwJgv+C7iBotUgABIkXYct41ARQX4w1pRQc4vNgHGfLH1GPdbEQHGe0X0OLfYBBjvxdZj3G9FBBjvFdHj3GITYLwXW49xvxUVYMxXVJDzEUguQACEkYFAiQrwh7VEO76Em82YL+HOL8GmM95LsNNLuMmM9xLu/BJsOuO9BDu9hJvMeC/hzi/RpjPmS7TjabZ3AQIg3om5AAKFKcAf1sLsF+7KnwBj3p8tNReeAOO98PqEO/InwHj3Z0vNhSfAeC+8PuGO/Akw3v3ZUnNhCjDmC7NfuKviFyAAUvx9SAsQyEmAP6w5sXFSEQsw5ou487j1rAUY71mTcUIRCzDei7jzuPWsBRjvWZNxQhELMN6LuPO49ZwEGPM5sXESAhkFCIBkJOIABKIpwB/WaPYrrUotwJhndJSSAOO9lHqbtjLeGQOlJMB4L6Xepq2Md8ZAqQkw5kutx2lvvgQIgORLmusgUGAC/GEtsA7hdrwLMOa9E3OBAhJgvBdQZ3Ar3gUY796JuUABCTDeC6gzuBXvAox378RcoMAEGPMF1iHcTmQECIBEpitpCALZCfCHNTsvji5+AcZ88fchLQgvwHgPb8WRxS/AeC/+PqQF4QUY7+GtOLL4BRjvxd+HtCA7AcZ8dl4cjUBYAQIgYaU4DoGICVx33XW2aNEiq1Onjp1++ukRax3NQaC8AGOeUVFKAoz3Uupt2sp4ZwyUkgDjvZR6m7Yy3hkDpSbAmC+1Hqe9+RIgAJIvaa6DAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACeRMgAJI3ai6EAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJIvaa6DAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACeRMgAJI3ai6EAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJIvaa6DAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACeRMgAJI3ai6EAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJIvaa6DAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACeRMgAJI3ai6EAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJIvaa6DAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACeRMgAJI3ai6EAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJIvaa6DAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACeRMgAJI3ai6EAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJIvaa6DAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACeRMgAJI3ai6EQGEITJw40e677z6bMGGCffvtt+6mmjZtaltvvbUdeeSR1rNnz8K4Ue6iJAR++OEHmzJlik2ePDn2399//32s7ffee68bl7mUr776yo31Z5991r7++mv77bffrHHjxrb55pvboYceavvuu6+tttpqWVftq96sb4QTikrgl19+sXHjxrn/fPDBB/b555/bzz//bKuvvrqtu+661qFDB9txxx3tiCOOsHXWWSfrtk2bNs30+/Lyyy+7Z/vy5cutSZMm1qVLF+vfv7/tuuuuWdepE3zVm9PNcFLRCPzxxx/23nvvmT5zfPjhhzZ9+nSbPXu26fdAP6tTp441a9bMjc9+/frZTjvtZKuuumpW7fM1Nn3Vm1XjODhSArNmzbJ27drZ4sWLY+268MILbciQIaHb6Wtc+qo3dMM4sOgEXnvtNdt+++2zvu9PP/3UWrduHeo8X99XfdUbqlEcFBkBfX997LHH7Mknn7QZM2bY3Llz7a+//rL11lvP2rRpY7169bIddtjBunXrFuq7pq/nsK96I9ORNKTkBAiAlFyX0+BSFdCXrkGDBtk999yTlmDgwIE2bNgwq1WrVqlS0e48CCjI0b17dzchlq7kGgC54YYb7Nxzz7Vly5alrL5Hjx42cuRI23jjjUO32Fe9oW+AA4tOQBO/Z511lr344osuKJGprLnmmnbZZZfZKaecYqusskqmw+3PP/+0wYMH29ChQ23lypUpj99jjz3c879+/foZ69QBvuoNdXEOKnoBjflrrrkmdDs6duzoxmenTp0ynuNrbPqqN2ODOCDyArvssov7GxBfwgZAfI1LX/VGvjNpoPkMgPj6vuqrXoZDaQnoc/bw4cPtP//5j3uxLlPRC3560SNV8fUc9lVvpvbycwQKXYAASKH3EPeHQCUIrFixwnbbbbcyX75q1qxpbdu2tWrVqtknn3xiixYtil1JX9T01nwub8dXwu1SRQkI6G3IMIGHXAIgl1xyiZsQDoreKt5ss83cW/ZffPGFe0snKFr9pA+n66+/fkZ1X/VmvDAHFLWA3hDTG+7xRc/WFi1aWMOGDU3PZ70V+dNPP5U55qijjrI777wzYxBEx8UHtrWiROO9du3a7q37H3/8MVavVpm8+eaboQLcvuot6s7k5kMLnHnmmXbttdfGjtdLFc2bN3ermxTYUxBcq6Dig3Yas2PHjrWtttoq7XV8jU1f9YZG48BICjz44INuFV5iCRsA8TUufdUbyU6kUWUE4gMgNWrUsG233TaU0F133eWyDqQqvr6v+qo3VKM5KDICCioceOCB9t///rdMmzbZZBO34lpFn22+/PLL2GebTAEQX89hX/VGpjNpSMkKEAAp2a6n4aUkcP7559sVV1wRa/IxxxxjV155pZsQVtFbMfr/l156aewYnaO3kCkI+BCID4DojfTOnTu7N2S6du1qe++9d+yS2QZAXnjhBevTp49bhqyiVR5Kg9WqVSv3/zXZ9sgjj5h+B4I3dzTZppRw6Yqven3YUmdhCQQBEAWbtQpDKd2UOkIpgIKi8frUU0/Zv/71L5szZ07s32+55RY74YQTUjbojjvusOOOOy7287322st0TvBFTKmGbr/9djvttNPcig6VQw45xK18Sld81VtYPcPd+BS44IILXKo3jUmlgth0003LXU4pJG688Ub3+UMTVCobbLCBeykj1SpUX2PTV70+jam78AUWLFjg0qEE/71w4UL77rvv3I2HCYD4Gpe+6i38HuEOK0MgPgCy4YYbmj7TV0bx9X3VV72V0WbqKB4BpU9+6KGH3A3rM71Wap988smm34H4opdKteJP3z/18lyqla2+nsO+6i2enuJOEUgtQACE0YFAxAU0maY3jZcuXepaqrfQRowYkbTVmrAIgiBaIaKcltozgYJAZQsEHw4V8Ej84Bif9iebAIgmkfUhc+rUqe52NeGmHPRKKZRYtE+Ccs4HRW/zaE+QZMVXvZVtSn2FKTBmzBh75plnTM9XTe6mK998841tueWW7g0yFeUS1mSZVnUkliVLlrg36oNjt9tuO7f/R7KVe3fffbcdffTRrgr9fmnfnS222CLprfiqtzB7h7sqBAG9FaygdFC0omnAgAGM+ULoHO6hQgL6zK0VICqvv/66HX744bHUn5kCIL6exb7qrRAUJxeVgI8AiK/vq77qLaoO42YrLKDAhwIgKpojefrpp92+fbkWX89hX/Xm2k7OQ6DQBAiAFFqPcD8IVLLAOeecY1dddZWrVRPBmmALVn4kXkr56RUs0TEqZ599tssrT0EgnwK5BkCef/55l+otKEqlonRuqcpBBx1ko0ePdj/WpPM777yT9FBf9ebTlGsVj0Dim1sKaiT7knXrrbfaiSee6Bqm3xm9NZ9uc1HtuROM8QMOOCA29hNlfNVbPD3AnVaFgD57KG2EiiaJ77///nK34Wts+qq3Khy5ZuEI6A3g4DOIAnoK7G200UahAyC+xqWvegtHnjvxLeAjAOLr+6qven0bU3/hCChjgNJcadWqSqbV2WHu3Ndz2Fe9YdrEMQgUgwABkGLoJe4RgQoItGzZ0q3kUFHqFb1Rn67ojbSLL77YHaJzlaObgkA+BXINgOgNd73prqL9RTSZlm4T6XHjxtkOO+zgjtdxX3/9ddLcxL7qzacp1yoeAe1RE7/y7qabbnKpsRJL79697ZVXXnH/rNUfGs/pip79AwcOdIdorwWlZFljjTXyVm/x9AB3WhUCCso9+uij7tI777yzKe0gY74qeoJrVoaA3sJt166dzZw5063k035M9erVyyoAwjO+MnqCOnwI+AiA+Pq+6qteH67UWZgC2o/v2GOPdTenlMrat0/7S1ak8HyviB7nIpC7AAGQ3O04E4GCF/jss8/KvBE8atQot3lXuvL222+7fROCojqC/RMKvsHcYCQEcg2ANGrUKJYO6Pjjjze9BZOuaE+EunXruj1wVLRXQvABN/48X/VGorNoRKULLFu2zLSpaFAuv/xyO++888pcR2+jaSWf9vhQ0R4KessxXVGqLI3loGiCWRPN8cVXvZWORIWRE9hvv/3siSeecO3q27dvLBgSNNTX2PRVb+Q6iAZlJXDGGWfYdddd585RHvgjjjjC/e+wK0B8jUtf9WaFw8FFL1DZARBf31d91Vv0HUgDshLo1q2bTZo0yZ2jl0SV0rYixddz2Fe9FWkr5yJQaAIEQAqtR7gfBCpRQJs9xwc8Zs+enTEHvdJgrbXWWqb/VlEd/fr1q8S7oioE0gvkEgCZP3++NWzYMFax0qcojUqmos2o9UVORemEbr755jKn+Ko3033x89IV0Kq7+A2jtT/CUUcdVQZEX8T0hSwoyi2vjaYzFa2MCjYrVWrEs846Ky/1Zrovfl7aAgrkaX+cYD+ba6+91k4//fS8jE1fv0ul3aOl3fp3333XPZ9XrFhRbnVe2ACIr3Hpq97S7vHSa31lB0B8fV/1VW/p9XjptnjhwoW2zjrrmPaDVJkwYYJttdVWFQLx9Rz2VW+FGsvJCBSYAAGQAusQbgeByhS46KKLbMiQIa7K6tWru43Q06UECq4dn4tbdQwePLgyb4u6EEgrkEsARBPASgMUlLAfUOPTWykY8uqrr5a5N1/1MgQQSCWg1RzxKz4++ugja9u2bZnDFeBTSsOgfPvtt9akSZOMqPFL7oOc9PEn+ao3441xQEkLaL+xq6++2hloZdMXX3xRbq8yX2PTV70l3aEl3HitLO3atat98MEH7nP31KlTy6zEDhsA8TUufdVbwl1ekk2PD4CsvfbabjWpJl/nzZtn1apVc2nfOnToYPrMoZeR6tSpk9bJ1/dVX/WWZKeXaKO1D99OO+0Ua70CIhrPEydONO3Z98Ybb9icOXPcPqtNmzZ1qZX1+bxjx44pxXw9h33VW6JdT7MjKkAAJKIdS7MQkIDyvQd7fmjzrmCD0Uw6+uMd5JNPNkmW6Xx+jkBFBHIJgIwYMSKWYkLX1n4ezZo1y3gbWsqsfW9U9Hb8V199VeYcX/VmvDEOKEkBfbHSRubBm/Cbb765m0BLLPHjVpMNSpsVJh9x/N+EZAE/X/WWZGfS6JQCmiTWZqLvvPOO20z0pZdecscq9duTTz4Z2zg6vgJfY9NXvXR/aQoMHTrUzj33XNd4pUkJ9tQLNMIGQHyNS1/1lmZvl26r4wMgmRQUILnkkkvs5JNPTnmor++rvurN1GZ+Hh0BpTJUSkOVWrVq2U8//WSDBg1yaZNTFX2P1cptZRVQIJzP8NEZD7Sk+AUIgBR/H9ICBFIKKI/2448/7n7eqVMne++990Jp7bPPPjZmzBh3bLJc3KEq4SAEchTIJQCijaLjv1wFb+hkuoUbbrjBTjvtNHeY3ljTpFx88VVvpvvi56UpEL8iSQJPPfWU7bnnnuUwzjzzTFOaIBUtzdcXsjDl1FNPtRtvvNEd2qVLF5s8eXKZ03zVG+beOCbaAnq+/vjjjykbqTeFNaYV9EtWfI1NX/VGuzdpXTIBvWTUvn17+/33300bL3/44Ydl9nPSOWEDIL7Gpa96GRGlJZAYANG41irUNdZYwxYsWGCffPKJKdAdXxSMuPvuu5NC+fq+6qve0urt0m7tv//9b9NefCrrr7++7bjjjjZy5Ej3/1dbbTX3zNfncK3E1urV+KLPNWPHjnXHxRdfz2Ff9Zb2CKD1URMgABK1HqU9CMQJ9OnTx/3hVdHG5lquGaYcfPDBpg3TVVTHc889F+Y0jkGgUgRyCYDEv3Wpm9Ab8cneukm8Qb3Bow3TVWrWrGlLliwpc4iveisFikoiJXDPPfeU2etD+zcFz+HEhp5wwgl22223uX/WxubfffddKAul1lKKLZU2bdq4SYr44qveUDfHQZEWSBcA2XrrrU1f3Pfaa6+UaTp9jU1f9Ua6M2lcUoH4FINa1aT/n1jCBkB8jUtf9TIkSktg/PjxblWHsgTsuuuu5VIWajPmBx980K2CUkAkKPr8cc4555TD8vV91Ve9pdXbpd3ak046qdz+kBLRXIlWhygoEhSt2NaLTFOmTIn9m9KIKxVbPj5r83wv7bFK68MJEAAJ58RRCBSlQPyXsW222cb0gTVM6d+/v/vgqqI3HZT/koJAvgRyCYBceuml7otWULT5aJiUQHobTR9WVfSGTuIba77qzZcl1ykOAeUQVo5hBe5UlI7t/fffN6WOSFbiV4oo1ZtSvoUp+h3RmFZp3ry5zZgxo8xpvuoNc28cE20BBfS0Mk9F41xp3j7//HNbuXJlrOFbbrmljR492r0ln1h8jU1f9Ua7N2ldooDSzeoNd5VDDz009hk68biwARBf49JXvYwIBJIJfPPNN9arVy+bNWuW+7H2SVCq2YYNG5Y53Nf3VV/10tulI5C4MlstP+SQQ2KrQBIlfv31V+vevXvsBSOlzdJndO1vFhRfz2Ff9ZZOb9PSUhAgAFIKvUwbS1ZAb1M+/fTTrv3alFEb1IUp/fr1s8cee8wdqjqCdFhhzuUYBCoqkEsAJD5Hq66/ePFi90UrU1F+Vr3do6JN7YIJuuA8X/Vmui9+XjoCemNs2223jY29Bg0auE0VW7VqlRJB+YeHDx/ufl6/fn2bP39+KLCzzjrLrrnmGndssv1FfNUb6uY4qOQElLrtrrvucvsk6JmtssEGG7jUbPo9iC++xqavekuuM0u4wXr+akWdxrNSoUyfPr3c+A14wgZAfI1LX/WWcPfT9AwC2utJE8JBueyyy+z8888vc5av76u+6qXTS0fglFNOsWHDhsUarGwBCuzVq1cvJcKLL75YZi+zW2+9NZZtQCf5eg77qrd0epuWloIAAZBS6GXaWLICekPh4Ycfdu1v166dTZs2LZTF7rvvHkt7le4th1CVcRACWQrkEgC544477LjjjotdSUvu0304DQ68+uqr7eyzz3b/t3HjxjZnzpwyd+ur3ixJODyiAp999pl7OzIIYGjybNy4cdahQ4e0LdbkwRVXXOGOqV27tumNszDlX//6l9t0WqVnz5725ptvljnNV71h7o1jSldAq50UBAzG8WGHHWYPPPBAXsYmY750x11ltfyggw5yK5dUlFbz2GOPTVl12ACIr3Hpq97KsqSeaApsv/32pn1DVLbbbjv3OSe++Pq+6qveaPYSrUomEL8HiH6+3377xfZXTSX2119/udRYwWd7pct66KGHYof7eg77qpeRgUCUBAiARKk3aQsCCQLxbwJoMjg+D2s6rM6dO8c2TNfG0vFvPoCMgG+BXAIg//3vf23//feP3ZqCfQr6ZSpnnHGGy+Gqoo3stGlpfPFVb6b74ufRF5g5c6YLfmjjRBUFMpRusFu3bhkbn7gySRPHOj9T0e+IxrSKNlfXJuvxxVe9me6LnyOggF7wVnC1atVs3rx5ZVJG+BqbvuqlR0tD4K233nLBZBXttaegcvxnmESFsAEQX+PSV72l0du0MlcB7YEwZMgQd3qyl418fV/1VW+uDpxXfALXX3+9nX766bEbVxpZBUUyFe2N88ILL7jD9Ln+7bffjp3i6znsq95MbeXnCBSTAAGQYuot7hWBLAXi0/vo1LBpgZR64ocffnBXUx0nnnhillfmcARyF8glAPLxxx+XCXg8++yztttuu2W8iQMOOMAeffRRd5xSvz3yyCNlzvFVb8Yb44BICyjooeCHgiAqWlL//PPPu7fgwxSN7z322CN2qMbpZpttlvFU7bGg9EIqSod11VVXlTnHV70Zb4wDSl7gyy+/tBYtWsQcNHGw8847x/6/r7Hpq96S79ASAXjyySdt3333rZTW6u9BsP+Nr3Hpq95KAaCSyArEr6auXr16bL+zoMG+vq/6qjeyHUXDygmMHTvW+vTpE/v3xHRWqci0F1Sw6kMpbbXiOyi+nsO+6mVYIBAlAQIgUepN2oJAgsCrr77qNjEPit5MC95US4WlFEBNmzaN/Vh1aOkyBYF8CeQSAFm+fLlpo7lgE/NkOYaT3X/Lli1jG0EPHjzY9JZafPFVb74suU7hCejNdgU6gi9Da6yxhluJET/Zm+mutYmoNjEPysiRI92mjOnKH3/84TZV//33391h99xzjw0YMKDMKb7qzdQefo6AnrX6XUg1pn2NTV/10qOlIeArAOJrXPqqtzR6m1bmKnDDDTfYaaed5k6vW7eu/fzzz2Wq8vV91Ve9uTpwXvEJaL8P7U0WFI1l7QuSqcSvuE7cc8/Xc9hXvZnays8RKCYBAiDF1FvcKwJZCvz222+23nrrxd60GTp0aGy/g1RVjRo1ypSrUqVGjRoubZYmlikI5EsglwCI7m3rrbeO7Wmgt3Wee+65tLf8/fffW6NGjWLHKP1QfMAw+IGvevPlyXUKR0Cb5Cr/dbAf0+qrr26PPfaYaaPObEuzZs1i6bNOOOGE2N4eqerR8nulaAnKjBkzygRRgn/3VW+27eP40hLQqtP4jc+TreLzNTZ91VtaPViardXKvf79+4duvCZ+V65c6Y7Xyr8111wzdq72wtFY9P0sZryH7i4OrCQB7Ytz5513utoS34bXv/n6vuqr3kpioZoiEdALRwouqCj4oSBIphKfTnynnXYybYweX3w9h33Vm6m9/ByBYhEgAFIsPcV9IpCjQPyG5olvICSrUnnhn3nmGfcjnRv87xwvz2kIZC2QawAkfkNzTSwrzVD8hFrijVx77bV25plnun/WG2magFPu+cTiq96sYTihqAUWLVrkAmxTpkxx7VhttdXs4YcfdqnXcinxG5or0K3Ve0otkapoP6ebbrrJ/bht27b20UcfJT3UV725tJFzSkcgcb+l6dOn26abbloGwNfY9FVv6fQeLQ0rEHYPENXna1z6qjesAceVloBWnW688cZuXyeVI4880u69995yCL6+r/qqt7R6sbRbq++K+s6oonSzSjubrmisK5tGkJXgggsusIsvvpjPM6U9jGh9gQgQACmQjuA2EPAloP0NtM9BUJRqRUGOZOW9994z5YhfsWKF+7HO7du3r69bo14EkgrkGgBRwEM55JctW+bq1aZ1wQfWxAvprTBNAn/99dfuR5oQCCaHE4/1VS/dXzoCS5YssV122cUmTJjgGr3qqqvafffdl9Wbw4la2stDz+ugDBs2zBTkSFY0hvWlTZulqyioFwT/8lVv6fQ2Lc1WQOmvunfvbnoDXkVvW2qFUr7Gpq/fpWwdOD76AtkEQHyNS1/1Rr/3aGEuAvGTxzpfaeP23nvvclX5+r7qq95cLDinOAUU8NBLpMHqvTFjxqRdua099q655ppYY/Xik1aExBdfz2Ff9RZnz3HXCJQXIADCqEAg4gJ//fWXderUyaZOnepaqpQ/yonaunXrMi2fO3euezv5008/df/esWNHU0AkfjI64lQ0r0AEcg2A6Pa1NFkTwSp6w3706NGmPKzxRXshaL8EpR5SURoKbcAbnw4rkcJXvQVCzm14FFBAThuWK8Waisa3UkEcddRRFb6qJhEU1FapXbu2abPGrbbaqky9Wnmi67/xxhuxvwEa7xr3qYqveivcYCooCoGXXnrJpXs49dRTrUmTJmnvWZ899EZwfHoI/X4cffTRSc/zNTZ91VsUHcZN5k0gmwCIbsrXuPRVIhCs7QAADzRJREFUb94guVCVCehZ/cILL7g9PeL3jEy8IX3W1pvvSr8clC222MKtgk323dLX91Vf9VZZB3DhKhE44ogjbMSIEe7a9evXd5/pFRRJLEolfthhh8VeJtXLT/psnqz4eg77qrdK4LkoApUsQACkkkGpDoFCFNCHzV69esU2v61Tp44pZ7z+TSl/Jk2a5N5+D5Yna2Js/Pjx1qVLl0JsDvcUEYFjjjnGHnjggXKtCVZw6AcanwpkJJalS5cmVVB+7W7dutkXX3zhfq437RXs2GeffWzdddd1G0/feuut9uGHH8bO19jXCpB0xVe9EelKmpFG4KqrrrJzzjkndsQ666xTZuVGJjzlDj7jjDOSHjZr1ixXl9K3qWgTaQVWtKG6AiIa58OHD7eZM2fGfh/09mWqVYDBRXzVm6mt/DwaAsHG0Jrk6tmzp22zzTbWvn17N2mgPQ+0Ak/5tBWU05uUWiEVFO2Ho/NTvXzha2z6qjcaPUorKksg2wCIr3Hpq97KcqKewhUInu/6fK0XLrbddltr166d23NSaTi1d6S+V44cOdK0gXRQ9Bl84sSJ5VIbxrfU1/dVX/UWbi9xZ5UtMH/+fLdSNfg8rc/belFDn7f1uV5jXauN9PsRFP1OvPvuu2U2UY+/L1/PYV/1VrYp9SFQFQIEQKpCnWsiUAUCTzzxhB166KGxIEiqW1DwQx9a99133yq4Sy5ZSgJ66/f+++/Pqcl6oytV+fzzz613795lvnilOlYT01deeWWoe/BVb6iLc1DRCgwZMsQuuuiinO9fb50pXVaqogkFBTS0wXq6okDijTfemDHYF9Thq96cITixaASCCbJsb3jAgAF22223pd3LRnX6Gpu+6s3WgeOjK5BtAITxHt2xUKwty+X53rJlS7ciWxkJMhVf31d91ZupPfw8OgLam0wrOoL0yela1rhxY3v66adNq57SFV+fO3zVG53epCWlKkAApFR7nnaXpIDSWylHvFJgJU4g621LpcDS28KJ6bFKEotGexfwFQDRjf/yyy9uj4OHHnooadBP+yFoWb5SA2VTfNWbzT1wbHEJ+A6ASEMboCtNm96mDzZdjFfSKpEbbrjBevTokRWer3qzugkOLjoB7Tlz/fXXu7QP+tyRLmCtN4YVwBs0aJBblRq2+BqbvuoN2y6Oi7ZALgEQnvHRHhPF1jpNAp933nn2+uuvm1ZHpysa7yeeeKL7T61atUI31df3VV/1hm4YBxa9gNLKnnvuuS6DgVazJpYaNWrYwIEDbfDgwdawYcNQ7fX1ucNXvaEaxUEIFKgAAZAC7RhuCwGfAlqmqTcD9IdRRTm6laaiWbNmPi9L3QjkXUCbPivgpzG/ePFit8+HUrGEeQst3c36qjfvQFwwUgJKhaX0hZqA1sbSegOta9eu1qpVqwq101e9FbopTi4KAQWNtQeZUl4pNYpSHGoiTCkj2rRpYx06dDBNGORafI1NX/Xm2k7OQ0ACvsalr3rptWgLaD8xBRX0mUPP+hUrVpjSLDdo0MB99thkk00qBODr+6qveivUWE4uKgGl7lQQcPbs2W4Fdt26da1FixYu5We6PfbSNdLXc9hXvUXVYdwsAv8vQACEoYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKREyAAErkupUEIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAAIQxgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAApETIAASuS6lQQgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIEAAhDGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACkRMgABK5LqVBCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggQACEMYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKREyAAErkupUEIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAAIQxgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAApETIAASuS6lQQgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIEAAhDGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACkRMgABK5LqVBCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggQACEMYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKREyAAErkupUEIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAAIQxgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAApETIAASuS6lQQgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIEAAhDGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACkRMg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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot your losses\n",
    "import matplotlib.pyplot as plt\n",
    "plt.plot(policy_loss)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# setup environment to pit your AI against the challenge policy '6-6-4-pie.policy'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "policy_file = '6-6-4-pie.policy'  ## solution\n",
    "# policy_file = '6-6-4-pie-500.mypolicy'\n",
    "challenge_policy = torch.load(policy_file)\n",
    "\n",
    "def Challenge_Player_MCTS(game):\n",
    "    mytree = MCTS.Node(copy(game))\n",
    "    for _ in range(1000):\n",
    "        mytree.explore(challenge_policy)\n",
    "    mytreenext, (v, nn_v, p, nn_p) = mytree.next(temperature=0.1)\n",
    "    return mytreenext.game.last_move"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let the game begin!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
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       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
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       "\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",
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       "\n",
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       "\n",
       "    this._init_header(this);\n",
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       "    this._init_toolbar(this);\n",
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       "    var fig = this;\n",
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       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
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       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
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       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute('tabindex', '0');\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;' +\n",
       "            'z-index: 2;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
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       "\n",
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       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
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       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            'z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
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       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"285.6\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\github\\udacity-deep-reinforcement-learning\\alphazero\\Play.py:60: UserWarning: frames=<bound method Play.move_generator of <Play.Play object at 0x0000017C988B0DC0>> which we can infer the length of, did not pass an explicit *save_count* and passed cache_frame_data=True.  To avoid a possibly unbounded cache, frame data caching has been disabled. To suppress this warning either pass `cache_frame_data=False` or `save_count=MAX_FRAMES`.\n",
      "  self.anim = FuncAnimation(self.fig, self.draw_move, frames=self.move_generator, interval=500, repeat=False)\n"
     ]
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "gameplay=Play(ConnectN(**game_setting), \n",
    "              player1=Challenge_Player_MCTS,  ## red, trained \n",
    "              player2=Policy_Player_MCTS)  ## blue\n",
    "## remember to click on the \"power\" button when finish\n",
    "## or other games can't be played"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute('tabindex', '0');\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;' +\n",
       "            'z-index: 2;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            'z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\github\\udacity-deep-reinforcement-learning\\alphazero\\Play.py:60: UserWarning: frames=<bound method Play.move_generator of <Play.Play object at 0x0000017C9E277160>> which we can infer the length of, did not pass an explicit *save_count* and passed cache_frame_data=True.  To avoid a possibly unbounded cache, frame data caching has been disabled. To suppress this warning either pass `cache_frame_data=False` or `save_count=MAX_FRAMES`.\n",
      "  self.anim = FuncAnimation(self.fig, self.draw_move, frames=self.move_generator, interval=500, repeat=False)\n"
     ]
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "gameplay=Play(ConnectN(**game_setting), \n",
    "              player1=Policy_Player_MCTS,  ## red\n",
    "              player2=Challenge_Player_MCTS)  ## blue, trained\n",
    "## remember to click on the \"power\" button when finish\n",
    "## or other games can't be played"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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