minimo_lagrange.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Minimizzazione di una funzione con l'imposizione di vincoli\n",
    "\n",
    "Vediamo qui un esempio di come sia possibile, in Python, trovare la posizione del minimo di una funzione imponendo dei *constraints* a cui devono soddisfare le variabili indipendenti.\n",
    "\n",
    "Importiamo le librerie di Python di cui necessitiamo; alcune come matplotlib servono per le rappresentazioni grafiche, altre sono necessarie per il calcolo vero e proprio. In particolare, dalla libreria *scipy.optimize* importiamo la funzione *minimize* che implementa vari metodi per la minimizzazione di funzioni."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "from mpl_toolkits.mplot3d import axes3d\n",
    "import numpy as np\n",
    "from scipy.optimize import minimize"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lanciamo il *magic command* seguente, per poter avere interattività con la grafica che rappresentiamo all'interno del notebook (i *magic command* sono quelli preceduti dal simbolo %). Tecnicamente <i>%matplotlib notebook</i> specifica il *backend* di [matplotlib](https://matplotlib.org/) che raccoglie tutte le funzioni per la grafica "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Definiamo adesso la funzione di cui vogliamo determinare il minimo (il minimo locale entro una certa regione); la nostra funzione, che chiamiamo *function* sia:\n",
    "\n",
    "$$z=f(x,y)=\\frac{1}{3}x^3+\\frac{2}{3}y^3-x^2+4y^2-4x$$\n",
    "\n",
    "Notiamo che, in vista dell'uso del metodo *minimize*, poniamo come argomento di *function* non direttamente una coppia di valori x e y (2 argomenti della funzione), ma un singolo argomento *x_var* che sarà una coppia di valori (x,y); la funzione *function* medesima si preccuperà di *spacchettare x_var* nelle due variabili x e y.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def function(x_var):\n",
    "    x=x_var[0]\n",
    "    y=x_var[1]\n",
    "    return (1/3)*x**3+(2/3)*y**3-x**2+4*y**2-4*x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Non è difficile per questa funzione determinare i punti di stazionarietà in modo analitico, tuttavia lo facciamo qui per via numerica. \n",
    "\n",
    "Ai fini di una rappresentazione grafica della funzione, ci costruiamo una griglia di punti x, y sui quali valutare la funzione. Per questo usiamo la funzione *linspace* di Numpy (*np.linspace*) per crearci delle liste di valori x e y con i quali poi definiremo la griglia attraverso la funzione *meshgrid*. \n",
    "\n",
    "Per la variabile x scegliamo 30 punti nell'intervallo \\[-2, 5\\]; per la variabile y scegliamo 30 punti nell'intervallo \\[-5, 2\\]. \n",
    "\n",
    "*meshgrid* ci restituisce la corrispondente griglia di punti."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.linspace(-2,5,50)\n",
    "y=np.linspace(-5,2,50)\n",
    "x_grid,y_grid=np.meshgrid(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
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       "\n",
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       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
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       "\n",
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       "    var format_dropdown = fig.format_dropdown;\n",
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       "    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",
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       "    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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\" width=\"399.9999913302337\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Valori di y')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure(figsize=[4,4])\n",
    "plt.scatter(x_grid,y_grid,s=1)\n",
    "plt.xlabel(\"Valori di x\")\n",
    "plt.ylabel(\"Valori di y\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calcoliamo adesso i valori della funzione sulla griglia di punti e salviamoli nella variabile z_grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "z_grid=function([x_grid,y_grid])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rappresentiamo graficamente la funzione. Il codice che segue costruisce la superficie $z=f(x,y)$ e ne fa anche le proiezioni sui piani coordinati:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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": {
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\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'z')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.plot_surface(x_grid,y_grid,z_grid, rstride=1, cstride=1, alpha=0.7, cmap=cm.ocean)\n",
    "cset = ax.contour(x_grid, y_grid, z_grid, 20, zdir='z', offset=np.min(z_grid)-7, cmap=cm.bone)\n",
    "cset = ax.contour(x_grid, y_grid, z_grid, 20, zdir='x', offset=-5,cmap=cm.bone)\n",
    "cset = ax.contour(x_grid, y_grid, z_grid, 20, zdir='y', offset=5,cmap=cm.bone)\n",
    "ax.set_xlabel(\"x\")\n",
    "ax.set_ylabel(\"y\")\n",
    "ax.set_zlabel(\"z\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Passiamo alla ricerca del minimo della funzione usando la funzione *minimize*. Come input questa funzione accetta:\n",
    "\n",
    "- il nome della funzione da minimizzare (*function*)\n",
    "- una lista x0 di valori iniziali (*ragionevoli*) da cui partire per la minimizzazione\n",
    "- il metodo scelto per la ricerca del minimo: usiamo 'slsqp' perchè è quello utile quando introdurremo un vincolo a cui devono soddisfare x e y\n",
    "- mettiamo anche dei valori limite (*bounds*) sugli intervalli di x e y entro i quali fare la ricerca del minimo \n",
    "\n",
    "La documentazione completa per *minimize* si trova [qui](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html#scipy.optimize.minimize)\n",
    "\n",
    "I risultati sono posti nella *variabile res* che raccoglie alcune informazioni sull'intero processo di minimizzazione. La variabile *res* è in realtà l'istanza di una *classe* che ha vari attributi; per esempio *res.x* è un array contenente i valori di x e y a cui è stato trovato il minimo "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " message: Optimization terminated successfully\n",
      " success: True\n",
      "  status: 0\n",
      "     fun: -12.120226494906921\n",
      "       x: [ 3.236e+00 -9.701e-15]\n",
      "     nit: 5\n",
      "     jac: [-9.302e-04 -1.192e-07]\n",
      "    nfev: 16\n",
      "    njev: 5\n"
     ]
    }
   ],
   "source": [
    "x0=(4,-1)\n",
    "bound=((0,5),(-4,0))\n",
    "res=minimize(function,x0,method='slsqp',bounds=bound)\n",
    "print(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Posizione del minimo\n",
      "x: 3.236; y: -0.000\n",
      "Valore della funzione nel minimo: -12.120\n",
      "Valore del minimo della funzione restituito da minimize: -12.120\n"
     ]
    }
   ],
   "source": [
    "print(\"Posizione del minimo\\nx: %4.3f; y: %4.3f\" % (res.x[0],res.x[1]))\n",
    "print(\"Valore della funzione nel minimo: %5.3f\" % function(res.x))\n",
    "print(\"Valore del minimo della funzione restituito da minimize: %5.3f\" % res.fun)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Il minimo della funzione calcolata numericamente sulla nostra griglia (che potrebbe non coincidere con il minimo locale trovato da *minimize*) è in questo caso molto vicino al valore trovato da *minimize*:   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-12.115"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.min(z_grid).round(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Volendo conoscere i valori di x e y al minimo valutato sulla griglia, usiamo il codice seguente (alquanto *misterioso*)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x e y: 3.286, 0.000 \n"
     ]
    }
   ],
   "source": [
    "iy,ix=np.unravel_index(z_grid.argmin(), z_grid.shape)\n",
    "print(\"x e y: %5.3f, %5.3f \" %(x[ix],y[iy]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Come verifica, calcoliamo la funzione nei due punti x e y:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valore della funzione: -12.115 \n"
     ]
    }
   ],
   "source": [
    "print(\"Valore della funzione: %5.3f \" % function([x[ix],y[iy]]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adesso definiamo un vincolo a cui devono soddisfare le due variabili indipendenti. Poniamo:\n",
    "\n",
    "$$x + 2y =2$$\n",
    "\n",
    "Vogliamo in altre parole determinare il minimo della funzione *function* lungo la retta di equazione \n",
    "\n",
    "$$y=-\\frac{1}{2}x+1$$\n",
    "\n",
    "Per far questo, cominciamo con lo scrivere l'equazione del vincolo nella forma \n",
    "\n",
    "$$c(x,y)=0 \\rightarrow x+2y-2=0$$\n",
    "\n",
    "Definiamo quindi un *dizionario* Python con il codice seguente che implementa l'equazione del vincolo nella forma di funzione *lambda* (funzione *anonima* a cui non viene dato un nome specifico); il dizionario *con* specifica che il vincolo dato dalla funzione *lambda* è del tipo *funzione* ('fun') e che si tratta di un vincolo corrispondente a un'uguaglianza $c(x,y)=0\\ $ ('eq'); l'alternativa sarebbe una disuguaglianza 'ineq' da usarsi se, per esempio, volessimo imporre la disuguaglianza $c(x,y)>0$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "con={'type': 'eq', 'fun': lambda x: x[0]+2*x[1]-2}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A questo punto usiamo ancora la funzione *minimize* passando anche l'argomento opzionale *constraints* a cui attribuiamo il valore *con*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "res=minimize(function, x0, method='slsqp', constraints=con, bounds=bound)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " message: Optimization terminated successfully\n",
       " success: True\n",
       "  status: 0\n",
       "     fun: -11.135121633539388\n",
       "       x: [ 2.861e+00 -4.303e-01]\n",
       "     nit: 5\n",
       "     jac: [-1.538e+00 -3.072e+00]\n",
       "    nfev: 15\n",
       "    njev: 5"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Posizione del minimo\n",
      "x: 2.86; y: -0.43\n",
      "Valore della funzione nel minimo: -11.135\n"
     ]
    }
   ],
   "source": [
    "print(\"Posizione del minimo\\nx: %4.2f; y: %4.2f\" % (res.x[0],res.x[1]))\n",
    "print(\"Valore della funzione nel minimo: %5.3f\" % function(res.x))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Controlliamo che il vincolo sia soddisfatto:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valore del vincolo: 2.000 \n"
     ]
    }
   ],
   "source": [
    "c=res.x[0]+2*res.x[1]\n",
    "print(\"Valore del vincolo: %5.3f \" % c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "che in effetti corrisponde a quanto avevamo richiesto!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Possiamo visualizzare il risultato graficamente. La figura seguente mostra la funzione *function* rappresentata nel piano x,y con le linee di livello. La linea tratteggiata rappresenta il vincolo: il minimo è cercato lungo la retta tratteggiata. L'asterisco in rosso mostra la posizione del minimo vincolato che, appunto, giace sulla retta."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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": {
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p3uyUmRJFMiRKZAtJaujErlSWley98hFkZY6fcxb3CfgAt4hEUKL34NujxNtThtaR+aE5oUsVGNdIRNPU5MmQZWKSEqErNBSIFfFhex1emzYYapnC5Hsl7d9bkoSRG5HItC7+5rwp85DuCl3Fa7JXgH6Xhy0tOEfPSdx2tENtVCKe0s3wR4y4k3TftiCztFTKpJmM4KyOaMWguTIbwAnJhfAhU0+ts7OzpgjJRVYijuZbYtO+G/23wKhxjatm+DtZ4z4w3c7oNQIcfunV+KOe7dAq8iHTKAHuQ/EKWrQjZQWQbI0bgx+tucy1XbkGklOSoUt0Igj1p+hRv1xZEnWss2JvByz/RK1mk9DJ66ZkpgMDw/BP2hDYNCBgUEn6wODdvjCVvjDtkg/aGV9cMg96yETQZKmZjKiwRZh7rl1QTbDcaka/ahYB4yMhBj87ej1d7LeOzj1+RAJyZUUIUdcjFxaJEUQL4LLaHB4EJ1e0zgS0u3rw/CYJ64oTqlJKSiR5Y4QkUJGRDLT1HG/HunJstFlYuSDFrKKtHusMcdEYyOfPRGQKmUWIyPLlNlIFy4+wbf4vWhyWNHstLK+1WllBISe3mdq5EqhJ/QCmYq5Edi6XMV6nVgWlxvfTGPgfwcGBsPMWtXqsjEC2dBvQZ29D+0ue4xvQASxdGEa1uhysCYjF2t1uajRZiEtZWGZl4HB0LRuHDouxeX8pnkXmlx9eHjlLVAIIw8ARE7oQUcmSMOzrftwzN6Jh1feCqlAiL2Wk3ix5x20eLpHp1sjVOKWnMtxbdYl6DfZWMgBd+W8T74NY5lodo6eWRDIveEK0tNnV2Q91I2BQQde+GEnXv9tL6KuUrk6Fdf9azauuEsPkWS8CTw5ScAIyliyIkyRQ5gshSBZwm6455boawlSkoSgz5I1gPpkkJVkfkGOE6ewyfky6h1/xvV5/4PUpEhwGZGVQ5afYJXmX5ElWTMlMSHy8ef2iOVlLi0lScSIB5E3aaqeBZvKqE/VjxC6DEaalrr5wh4YA11sMfkjPS3BodhmenJ9aEV6Zv2IEhBaXwwSQlhYB/pZTAhzy7g70OzuxsBQMCZM+jQNIyGVCrKEFKBElgPBFPEs88WZSFun144z/T2MhJx29KDBaYrpJqJj6NIUWJGeg+Xp2awnQqJcZBJC8QyN/WZGPpqcVjRT77Ayy8h0TZIqQLFCzWIYqKfYhiJFhHwohBdfauZ8r4FE/BzFu9T3mxlJOWMzsZ4IaCyXEFm4qjVZWJuRgzW6CFkhS0u8WtQN3uA04nctu5m755NlW6f8Td3yxmN4ZPVt2JpZwYZAnz/jbMFfe3bgkL1udFjiFBHWowJfveyTnJjEa7ISfT+zNZFRECm5IOoaj+CJx3+Fvz+3E4ODkah6uVqI6/5fNrZ/VIc0afx99EROomQlicUAjDwnDw9js/4hFrg6U7MGzmK/+XFUKm9nrp2h4UEWW0Kunn19jzErynT7IavLsy1bRg9DhIOIlyRVyxZxykifqhm3LkpWxo1YzXSOsf5ON1R70DxqBTEyEtI5ZTwI7YNcKPq0POSICxkRoT4rrWBad8x8xhb9THAohGZ3F+qcbWhyd7JlrGl37L4lKWmRuBB5wSgRSRfKF3L4mJ91hwI4Ye/CcXsXzjh6mFvGHY59g08XSEYJyHJGRnKQkRb/MUUHSiZ/snhEb0T09NzgMIMsI9M1snCUp2tZfAIFVBZTYKVSE9f4hLhPxIQdUmaMOxiEayAA98AAXEEKOg2yjBlaAoNhBKhnrwcRHBxk1obBoUg0A938Ik7iYfIOs0Z4UktNTh7J5hnpKbsnOSWS2ZOSgrTUVMhFIhYPIxcJGWmjnl5LBILz+j0fCxOdLxHSYxYDjph72GL0xbZ6VqoysCWrCJfnlmCdLjcugbV/7jiMd/sa8NmKK5hlMEpYKNMpmtlDcSsf2fVrPL/l0yyjbGLr8pnw956deKfvECP/frMHOz/4FCcmi/0FS5T9z5aYTBwvpW09+uij+P3vfw8KxqX25a88gAcf+Rz8g/0IhPsRoH6wf/Q1uTgotiI0RKmCtHgRHvYvCIptWY8hX3aOMMTamSvYjb19j0InrsYa7f2IunZoWwo23W16GCtUd7P9TBf8StYVUYqSZe9Qhk+itYHBAEyBbhYLQm4YIy2BLpZmO1WTpiqQnVaALHE+Ix9EQjLTKH5l8aw47pAX9a521LnacHaEjMQKUE1GMgqlWSMZMpH4kFyxblGCQCkwj0zLx2yUQtnJzNCx3ESi5FRm/VihysGK9FxUp+cwF00sqx6lmP6zpxkvtZ1lQX4fKVuFy3OK53TZ0PVI8QUnrUa2nLabUGejmKXY1iPaeYZYinKlFmXpWpSnZzAyUqbUQilKrGuWyIIjEIDV74PN54PV54XN7x+z7oPd74eLCMjIQjfdRGyUVUSkJT1NzIJ7M6QSZEhlyJBIoGO9lK3Texrx4qYCx8KHgm2PWAw4au7BYXMPGvrNk1xAFKi8NbsYV+aV4fLs4jldL0TkX+g8jGJZBo7YOtj34UtV17ChROIFwd7zhQfw+9a9eK+vkX1/vlkzvRXaHnTh1d7dONN2Fo9f8RVOTBLx4l+MMc2XmETH0tHRwQjKn/70JzQ2NkKv17M/DQ4Owuv1zhiISyQhPORHcISwDA2HQAvpdbB10HoYQ8NBRihoYQoEzL2TBL24lrlEpmpEkPaav8/cJxt0X5y0GX1p3jZ8HjXqe6GXrF4MiOO+T4q3sA2YYAr0MCJCC1lBrAOmKeMbkpHCCEc2s37kswwZ6uWCxUmHjZ404dvrt+Csq42REVroaShW0wrTmRWEUnXJKlIqy52VxsFcAaYxdfvsODpCQoiM0OtYjX5oa1REQHKxQpWLUrlu1k+V+4wdeOLkHmzJLkKGWIbvH92JRzZcjZsKl035dE06H6dsRpwYISInrb0sBTVWI30OeuKloEfqK1U6VKRnsDTb892IdFh8Xhjdbhg9Hpg81LtZb/J40Ot2w+z1TBvQOdtzYNolqakQpUasGhRHQa9pXUjaJszyQenEEe2SyH+2xuYh6igOk47J4BAodijSk5ZJxOpCC1lh3MEB+EIL0zKhceUplGzJVyqRp0xHPr2mdYUS4hlEMmeLy3Tb0XmQJWW3sR3vGtqYBW5sI6K1TpeHK/NKcUNBJbKk0ydU+MNB/LzxHTzXfgikB3NVVhV+uPbO0V0afQ78ufMwC6DNlajw4cINWK+loPjZBUcv9D4VD8wWcx8XRbpwPAGK14STcNvYbCDSQyGRNqp6/LnPfW5GghLPc4rui7RL3jN9kwWqbst6FL6whREeivkgPRPK0LEHm9Hg+AtUolIoBfkoV97KLCuJ0IiAkBvGHDCMEhAiIeaBXkbWpmoU90FWECIfRERoPTMtd0odkXie68BgEM2ebtQza0g7GlztcIUnuxjodkC6BVWKYixXFrNelzY7bZK5jpfcWaSrECUiJChlHZicvZOSlMwyY2rVBWxZrc6HSjT/4ONrX/4t7ixbiXuXRQKtf3JyDw6YuvDw+qtQoZpsvv7srpfwSkf9lCRkmVqHGk0WqkdSRMkiMlvRq7liNpvtyZ3S7XSiy+Uc0zvQ5XSi1z1z6uvEY9ANWyuRQCOWjPZqsQTpaeQyEYGe6BXUkztlZKH3iIQsZSNLGLmR6ObO3Ekj69T3B/yweL0w+7yweH2weD2w+HxwDsxe24WsK2UaDco1WlSoI32ZRsu0XBarURDtOz0t+Gd3Cw6bu8cRRiJu6zPzcHNRFa7Pr5yR+L7dW4cnG3cw8b9Pl2/D/7Xvh23Aw4K9L9OVYbUqnxHGuUgzxOs+tVj4LXS/nJhMQDA64adaT2BFUU1c/KR0wdXW1uLEiRPsaOnp6XjggQfw+c9/HkqlcqFzOOvPO4IdeLnzHhYDQoSEAmsFyWKsUN2DYvnVOGD5EfxhC2SCbPb8RHEjxYprmSbIUjXCirJeLIFeRjgsbDGydUqfHZpGTI2sIBmiLEY6yBWTnVbIyEi6QBOXeZwJAxq7ecCOetIMcXWgwd2ONo8hZkCoKFnArCBEQJYpi1ApL4JcEL/Au7FjJeXOs04jU7QktwzFiZCpedKNMFmAalUuajUFWKMuYJYRSerMKpQz4RL9+zUv/xafq7kUNxRGVG/f7m7G1w+8gS+u3IyPlK+atBuyqPy67iB7n+JAVmqzsEqTzXqyhtCT/1K3QDiEdocD7f39aHfY0dbfj7Z+OzocjlnfbMlaoZfJoZfJkCWnXo4smQyZpHQqlUIjISIiZXEaF2uj+Berz4c+rwc9RORcTkbgIsTOwSxL5xQ9YqOQI1cwklKu0aBSm4GVmXoUKNPj/l0nEvVubxve6W5hZGWs25B0VMgCSCTlqrwyllEzVaPUYool+cLh51icz0Mrb8ENufPT3OLE5GL9ZkxxXtEJv+/NG6HNUrObHAU+nlvyIU+dewAnpXU99thjTE02GIz4w4mgfOELX2AEhdbfL42sG46gjUmzkwWEFtuAmb2mxT84fdAikSaNUA+9OBd6UWRuaJ4yRNlIHcnzXwosA4MDaHF3o95NlpAOtjhCsYPqKNWvasQSskxRhCJpzjgpdyI1pHZKT1ULzVYhM/IpR88oETll75mkXEn4yAVpzApC1pA1mkKWthvVSVgM/L6273UYvE48e9WH2e5/e/YwvnvkHdxVvhrf2xjxv49tLQ4rzH4PE8xa6mwYsn402WxoslnRYrehtT9CQsjyMdMNk4JG6aY50S2Rq1AiSyaHWizmacUzXGDkKjK4XYyodDj60WSPzEWj1cosM1M1VVoaajKzsEqvx8rMLEZWVOL4ufKImO4wtOKl9rPY2dM6Tt+GXGZX5JbiAyUrWGwKXQdTtTcMp1mmTofXhlvzVrP4k+ncOBOtKZyYLMYvVALvcywxkWfGfoKVpMigEemhFWZCLdRBQ70o0pM0+HSKlLR/Iii/+c1vRgkKWU2eeuop3HbbbQmMzOyGRl8g36CHZbmQ6JgjaI/07LWdkRBH0IohzFwXhFwwZAEhwhHtdaJslqYrSF48M26sM43qhkSzZKgnHZFY5xHVDWHxIfJCEBGJ5ZYhrA5a29gPFGW5kMJpgUyL63OqcXX2ilmbdl1BP473d7FA1aP2DibtTvEBE5tWJGMEJEJEClh8yFKpp9JYKMDwP/e/wVIy6amTCGaVWsdqyPxsyy2zu8DivJU3GESz3YZGmxXNNhua7VZGSOhJfrpGNx16Oi9KV6FYpWJ9QbqKxUXopTKkTHNTivMpvK92R98ZmpsoaaR5o6XJSnpJsSXuaZ5W6vVYm5WDS/Ly2VzFQ3LBFQzgza4mvNx+FntNnaPZTDQhVOvnQ6U1uLO0Bjmyqa3i7W4Lq9FzdfZykMx9rGYNuPGv+3+Pu4s34Za8VezhgROT99Vlf05R72DTbiRpwuNiGejGOlMjCW+VQAeVUAuFIJ1JiSsEKtZTYKVipLcZ+5lSLSnWhkIhnD17FhUVkfz1RGv0YxAY8sMTdsITcrLeHXZFXo8uLlCBOiIg4ZG6PbM5D8qC0Qh15wieUDdKQmSpirj8gMxmHGO3iUi5W5lWSJSIkNARyUnHahki1Ui6bhELViUxM2EM3ZBGp4npfdSo8lhtFxJY+mvnUbhCftxXvpX94Dxx9i3sNDXg+S2fmtaNQk9cFO1PrhmKF4nV8iTqUbcMuWfodTx+kCcei/DqcPez7IZutwNfWj11VhhpiPyt9Qyr7XJjQSX+88AbLFPm08s3LMrYomNlQcceNxosFpy1mlFvsaDeakGnc2opfPosZe6Qq6BEpUaxSo0iFRERNQvKnO6JeK7XHN9+YQiQhYXm86TJiJN9JpwwGdHuiF1rSSeVYlNuPjbm5uGS3HxGJhfaKDX9tc4G/K2tDiesvaO7o3iUy3NK8JGyldieWzqva+aHdW/gmbZ9bJ+kjPyvZVuwJkmL4oIinpWz0Im7UD4/HRMlFwMFW/YFDLCT22EO7oeJ55+aJIA0VY4B6xC6DppBmxWoAAAgAElEQVSw5faNTJwrLUWCpgPtOLOnEXff/2FotBrQtmxJTmVpq5HXkZ60R6gNR6ssMF2CiLE5sjbMAkPDQyGEhoMgufOx66HhEHsvMOhjLhTWD/kQGPTCP+a9WKmiM80pPRETISMrklKoZrEeKmFGxMI0QkbSUuJnZp1pPLH+ToGgxoCVuWSIfFBP9WS8g7HTtknciGJDosXtaH2mwnaUEvjThnfwZu8Zph9BTz5ERMjlYvI7meR6VA2SrB+b33wM+6/7xrQF6W579+eTanaUyTOZJYQFq2oKmKjZYjTKzCDhqqgmBPVR1VT6IT5x5xemTK2k849aE0gA7Y7Xn8XDG65mfvp4NToGuV7OmPtQZzlHQqYLuKRAynK1hgVVsuBKFmSpYWmti0Hm4nWufD9TI+AMBHCKSEqfEcdNRhwxUN2tyWnluQrFKEnZnF/IYnwW0hr7LXiu+QT+2naG6cpEG+nmMCtKWQ3yZLN33Te7+vCrpnfxtvGcyJraA7x31yOcmCxkoi6kz87XREbKoSxWgsVM9KE/aIM7TAW+HKwnawIRg5kaPdk9f+9O9J6wQiBJxeoPl2LNPRWQqOIXhDjTGGb6OwWZkjVDlqpkvVxAvZKRECIfREKUAg0UqaoljfmYadz0d/uAE02eLiZgRqm61PsGY2cIkEuGYkFGScg8dUMoXfCVnpNM32OvuRn2AS8eXnVrzOH+resYXu4+jp+s+8i0sSaPnXmNSb5HSQhF9kfJzWxwmMs2dKM/22/GHmMH9ho7cNRigD882XpEPvbVGdl4dOO1KFLEziiiujNk/t5jbGcpmR8tX437qzfNZTiTtqU022NGI06YenHMZESduQ/+ES2hiRsTcSpMV2GZNgPLMnSsr9RqWezHhURAAqEwnP7A6OIKDMDhD8Dljwit0d/PLSH4QxHBNX8oxN4PD5KSTERUjR5jSFQtqq8RFV0TpFDa8Yig2kj6sTA1kopMPWUNKcRpUKaJWK9IE0E5pqd1mUiYMLhS9hBdG/t6unCgpxuHew0s5Xlso+ujNisbN5RV4NrSMhaYPN9G8SivdTbi+eYTOGTuGd0NHYO0UT5fcymLn5ptIy2hXzXtxD+NZwG7F6c//mNOTGYL3oW+3XyJyUznTV92EvZyh/vhIrIScsDHLBReBIbIWkFWCh/cfhf+/Pgr2PPcUYQCkS+NQJyK2g+Xo/aeUkjUCxOFIisLxWcIWEaOkKXM0jpZasRsiVht0pIj62Pfo6BfIiD0/oXwI07CZUQ8iIiQJWQ6BVUiIYXSbJTI8lAmy0OpPI+JmcVLyp0yY8hV83zHIewxN+HB6pugFytH40ionkZqcgo+uf/32K5fho8UbUC0AFisa2suqYUzXZsT/0777nQ7RonIPlNnTBl3bZqEyXhHFyqUNlO6LlWS/VPLKYhSUrEtp5hl18ylEUmiIEi6qRwxGnDcaGRBkrEa3TgrNRmo0kUISJU2AxXajITNdgmGwzC7vbB4vLCM9FaPb3Q9+h4REnJdXAiNyI1OLkWmXIZMxcgSXR/p9Qo5UlOmDhRdrPMkokZuHyIp+3u62LU0Nk6FCMTa7JxRkkLCcPNtFMj9XPNJvNh6epwOD2XyzJ2gmLCr/jg+ufF6TkzmOyEX2ucWi5jMFYe+vj788Ic/xC9+8Qv4fJHiYlKpFJ+5/zP43Bf/HWptOsLDYeamocJ3EVGkqNDaiHDSiGgSuX8YCUlKHJnoueIx0/aOoJu5YNq8PSxFlwgJuWhiNXIx5Up0rJgdiZeVyfKZhshiZqREx0EWk+c6DuJDBeuwJbOCkQ96WiVS8teuoyCLyc/Wf3TRi9lNxIXcKmQNoYUsIwbv5Ju9Nk2Ky7IKsUmfz3QcCuXxCSKcbm7pqfOkycRIyJFeA44ae5nk+sSWnJSESo0Wq7KysSpTj+pMPYsLSaQ4EH8whF6nCwaHC72OSG9wukdfEyGZb6Pzj1os5GkipAlSmTAZ9UxkbeS1aOS1IIUE1pJGs4Oi6xGRtcgomKhaVMY+KmkfDrP3ItaXMFwBstoMMEuNMzCA0DwIE81RnkqJQo1qZEkfXSdSs1QPQXRd7e7qwBstzXinvXWccBzTLsnJxfVlFbi5vBLKtPk9IFKJAAqWffL0Pkb+o22uBCVR7lPzvV5n+hzXMZmAUKJNuNlsxo9+9CM8+eSTTDmW2oEDB7Bhw4aZ5vai/Hs0JoTIR2SJkBGSap6qUVG7iHJqHnPLkFVEkjq/H5aFgtrtteOXjTtRKNPgvvLLWeVRIiUUW3Lvvt/hP5Zfi40ZJQs9zIyfJ1cMBavu6W1nRIRcNRMbFbPbmJmPS7MKGSEhKffFvklQmu6R3l4cMnQzInLa3BezABsFpZLJnS36LNRk6iFdRMGtGQEd2WAgFEZXvwOdNgc6bP3ooN7ej05bPyyemasXR49DN2sNybjLpciQSUd7rUwClUQ8SkLIXUILnXtycnyKe872XCdux4LkGVk551ayeX3oc3nQ5/ZE+jHrs7H6kJYLEZYKvRbL9DpUZWWgUq9jLqLFbOTyerezHa81N2JHe9s41yDp55Cb50NV1Sw2hUjhXBu5lf7WdgY/nydBSbT71FzPf6btOTFJcGISHZ7FYmEEpbW1FS+88MLoqEkCXywWIzMzM/KUM0RWlEFQdlDUAkCvTX4b/IMDoAJxlF2iEEjYDTpRG/3IWQb60ekzostrYn2n14huX9+UVXXpXDLTNCiW5jASUibPZ4tCMH+10njjQ2XSf9G4A9aAB4/W3j66e4q8N/j6mQvnXVMj3jKeYSqRH8ivjUtKL7lAKGCVSAgtFLA6Mb2SxKJWabNxWXaEiJCQ2UyumYXi0+/343BvDw4aenDI0IOzlsk1S+gYpAtCZvV12TmsL1Vr5nVDWOh4o593BwbQYrGh2WxDi9mGVqudERGyhMykc0L70EolyElXsCU72isV0CtkjISkk9bJeSYa8cIq1n7o+00xMURUOu1REkdELkLm+n3T1wwrUKdjmT4Dy7J0qNLrsDxbB7V0YUGrU50vSe6/29GGV5oiJGXs94ak8z+4fAVuX7Z8XvEo0xGU/1i9hWWsxWqcmCzm1ZmA+45O+D2vfBU1JVUs9bOYFmnuoilzzgWGibEFt956K9566y186jOfQum9G3DU24D+kBsfyN2OewpvYLtu9xjw78ceh0oohzglYilYp67CJ0s+MG0cw1zGNd9tQ0MhGP1WGPwWVkOGiEcXkRGfiRGpqRrJpedLslAsy4nMkTQHRbIcyFIX58dpuvMjnQFK3aXlo0UbURSjOujYz1N2DgWwUbXRaAryl478CV1eO4plWpZRc5muHFszyxdESrrcDlb7g9wz+4ydMWvMUDG7S7MKsDm7CBsy8yATLG6Qtd3vw4EeIiLdjIxQvEisVqHRMhKyLicXa7KykS1fnAyjma5bsgA0m62MgDASwsiIFSbX9DonVFuFSEfUPVGgSUe+Oj1CRJQK5lrhbWoEHL4AOpmlycEwrzdZUG80w+qd2upUpFFhbUEO1uTnsJ6wjreFj4j0S431+FPdaaafEm1kNdlaUIQ7l6/AtsJiVpV5Li0WQaF9frhsJR5YuZkVohzbODGZC7oXwbbRCd/2wr0Q68YHO2WK1Iyk0I0wV5KJHLEO2WLtohRWmw2UZEUpLS0F1eVBchLytlXg6quuRvE11dArMvD/iiOiVWRpeLzhafx41RchSjlnAl3MAMqx4w8MBplUuzlgZ+QjQkLMrLcE7NFE5ylPmXDPl2axOJACiZ71+RISWVt6yW7CjCwbx+xdTEOEZN47vbbRsX91+fX4aPHGmOdCn23zWEDWkX2WVrbNivQcfLZyO7QiOfKl6lkX8Yp1AKpLsr+vE7t7I7EiVIV3YqMfOLKGRN0zJAS1mI1SNomERAIMu8f9mEePS4bwqgwd8+FvyMnFuuzcuKp1zvb8+r1+1JvM7CbYMLK0We3TFtajGjVlOg1KMtQo0qpRqInER+SmK1nmCm/xRcDs9uCs0Yx6owVnaa6MZvQ4YrtxKT5lbX4O1hTksL5Mp42bFYq+y6fMffhz3Wn8o6lhXNwT6aR8rGY17qquYdWV59KIoFCa8RMndsPoi6hIywRCfGbFRnxi2TqkpUZ+8zgxmQuqF8G20Qn/yb7fo18eYDEMtqBz2jOjKrA5Eh1yxBnIFmcwwqIXa0HvL3Ysg91uxxNPPIGf/vSnjKCkSgSo+sxmLF+2HD+87mvIzs6GwW/GV0/+FP9afCtzdUhS0tiNPR5PExTz4QxRqrQLtgEH+gJ2RkKot4z09PeZWjKSkZmmZtjlSfUokBAR0SNPogdph5yvRjEglKZH9WWOj9SZsQxMlp0nN0hVejarEnpj7sqYw/WEAnjo5EsIDoVxW14t1mmpPs78Y10okI7KtkfTeE/bqJry+EZxIhtYnEgBIyRUbTce8z7VfFAAIblkDoykZJKOyMQx0ZPg8gwd888TGSHLiEI0fxzmc21QhsuZ3j6c7jWxGx0RkemsIBTDUZqhZje3Up0GpRkaRkiWMjhzPuf5fvgMBd6eNJhwtNOAI10GnOoxxcxaUkvEuKy0AJtLi1hPsTrxaOTqeb2liZEUyhaLNgo6JhfPvatqmSjfXBoFff+2/jB+cfrAaG2ebIkC/1G7BbcULUevwYC8vDyelTMXUC/kbWMx0WjGRzTro93Ty5RBw8Mzp+zRTZUEuDTCdGhEStZrqReR5ocMcoEUilQppKlUP2P+KXP9/f34yU9+gp/9+ufI+vAKJk7Q+uuDOHbsGPSlufjPkz9l1hK60aqFCmzPXI/tmeumnCrrgAN03u6wD56wF66Ql5GP/qBrtKf1/qB7VvLy0QNRzRgiH0TkIiQuQuSIMC1FVsxM1yaRh5P93ZHFHul9g5OzQETJqczaQW6XtZpCrFRRQO3iEijK3qE4kd29EffMEYuBFQMb2+imv1KTxUgIxYqs1uYsarE7CmA8buzF3u4u7OvuZOmXgySOMaaRRYTSdTflRdQ2ySJCFXGXqnkCAzhlMOF0bx/OGCJkZDoSkqWQYxkLssxg8QvUL4ZbYKnO//12HEq7JtJ5pNOAo129ON7dywJyJ16TNTl6bCkrwpayQqzIzowLYae6Sr8/eRx/ra8bp5GyvbAY/2/1GmzKzZvTcUhR9scnduNPLSdHJe9rNHp8MnsZbq7dyInJ++Xinq2JjAJKzYF+Zo2IuCfMMPhG3BMD/aPqq7PFjRJ+ZQIJIymMrAikkKeSpgjpjQhA1WgpoHOTdvpqlCZbH77+xg9x4vQppLxjx6FDhxhxoLFSdgo9Lb9p3I/ftb+En9V+JWYNFxrzA8d/xHQ/5tIoDZdID5EMnUgFHfVpKpArhmrFkHT7WFfSXPa9WNtSlV2yhERjRKjODElPTWxKgRir1QUjRe/yWclyKlW+2M0bCjISQlVNqXgY/VBNbMUKNSMil2QVYJO+AErh4lofqIw9ZSzsbG/Dnq7OmGqapJ5KP8JERMg9M1eT9kJwJZfM4c4ettDNqbHPOq6OSXTfRJjI/bI8SzcSRJmBCn1G3J6kF3IO/LPxQ2BoaBiNfRbsae3EruYORlTIZTK2UdDxlZWluKmmEkRYFmpVpFiUP545hWdPHYd5JJuSjkcZZJ/fcAkuyy+Y0zFITfbRozvxXm8bG3bY7oThgcc4MYnfZZLYe5otMZnuLCjzheIpbANO2IIOWFnvZK4Oek3vk7Uh1g1wuv1elbkRX6i4a1oA6djPtL8Cp9+NG1LXs/o70S/Zv/37ZzE8OISvfPWr+K3rVWzOWI2r9bFVNx868yscsZ9lxxIkpTKilC6UQy1UMvKhEipYT6+j69QngtVjOoBIdfVkfxeOUsE7Wwer6BtrHgqkGlbTJlp9l9J7F2LRmstVT+qoOwwtrHrpwb7uSdkzUT0Rcs9QrEi2dHEDQ8mfTi4ZykjY0dHGZL4nNiqURkSEiqRtzM2HdoGy3nPBy+714XCnAYc6enC4owdN5tgBtbnpCvZkXJ2jZz0RElna0llu5nJOM21LWVYu3wAcXj/6PX7WO7wB1rt8AfiDYZBuSiAYYn30tX8g8vqc8mtE/ZWsccTHmQLsiCIsU3kVpLKFKb2OrEfeS4FYKIBSkgalVIx0aRrSpWIopWlQsT7yHm2baI0yqva3dWF3SwcjKpTKPLaVaNW4bVUVbl65DDr5/EXVaJ9kUXy1qRG/PX4EZ62W0cOsz87FN7ZcjmpdJJtytm1Xbzu+d2QHzKR0/OlvcmIyW+Au9O3iQUxmgwFZXDwhH1xhH0ih1MXcJR642Xvn1oloRFN8N2qqcWf+1dPunvb7TMerbD+fK4+Ul6c4kK7OLpSVlSEcDkOeq8a2X9yFT5fdgesqt8bcnyXQz4SWyGqTaFaO2eBL27Dicl4bTti72ELBqmMDVcfuhyrtrtMUMbcMVeBVi5YuxZh+vA6bu7GjpxU7Da1Mqn1soyf7Gm0WrswtZYXAqlS6OT1tzRavsduRjsO+7i5GRIiQTKy2K0xOYdaQbUVFLAshXzn72h/zGc/Yz5DyKZEQurkQEWm2nAs+jm5HLq2qLB3WFeRiTX42VudlQyNb+oytuZ4rPd33e3wwOz3oc0QXN/pGXtP7Do+fCZpN8JjN9VBLsr1cLII+XY4stRxZKgXr9SoFslWRPkMhjVtA6nxOiH4jKMbo7foWvHamEV395+IJ6RraXFrISMr2imIIU+dPsug473V24L8P7mPuzmi7rbIKX950GbLksw9CJ2vPwcY6XFZVw4nJfCb9QvzMUhGTxcCGarJ4wj481/kG7EEn7iv5ACio1D80gBN9Ddjz8g48/+KfIa3VQVGuw7H/+Ac+dtc9+PrXv47CwsLFGNKS7pOK5Z11GnG6vydCRvq70R+c7Pogl1OZQsdIyFpNEdaoC6BaQiJCoJA0+3u97XjX0MqCVycWF5MLRKyw3bbcElyeXQzthHTBxQDW6HZjZ0cb3mlvY6RkYvwKZRuQr5yICFlGlkrQjFJ2yfy+r60LB9q6UGc0T3LNsIDaLB3WF+ZifWEeavOzQQqoidjIYtFjdaLb6kD3aO9g75kcbmbNmGtLSU6CQhKxVigkIqQJBcyiwRbRmHVhKntN6ayEGT18kEWV/iUnRxSjoxZWpvpKiq8jdXeCoUEmoEavaaHzICuNk6w2Xj+c3gBThZ1LIyn6fG06SrI0KM5Us75Er0FBhgqCJc5qIvJwtMuAv504i9frmuALnqsHRSJ2N1ZX4vbVyxnhnW+jY7zd1oLH9u5Gx0j1YwqS/WTtWtxXu27W36kL+T41G+y4wNoElC7kCX+6/RW80P02hMmpzO1AZtmr9RtxU84W/KzpeSZYJkQqBjpceP3rf4CpNRJBnpqaio9//ONMAl8ZhxLgs7nwFroNBfG2ui047ejBGYeBkZFWtzmmWyYtRYDq9FzmlqGFXDQLyYaZz9ipIi+Jmr1raMN7hjY0OM6ZdaP7K1FqsD2nhJGRdbrcRRc3o+uDKvCS/DZZRchdM7Gt0GXiiqJibC8qYZk081G5nCterGig0TxKRCiAcaJKKFmRlmdnYmNRHiMjtXnZCeWWoRsQWTxaTTa0meys77T0o9vigMU1O+l5wlqrkCIzXTayyKFTyqCWi6GUiKGSUZ/GenJJnW9BNjpnchmROylCVgKwujzotbth6nfDaHfB6KB1FwZC0xMYUr7Nz0hHsV6N0iwtludnorogi53rUjTvQBBv1Tfjr8fPslilsY2utY9tXM1iUuZb44eu5z+cPomfHtyPaNVrqmT9pU2XskyeaAXuqc71Qr5PzWb+ODG5iIjJbCY8uo3b7WZ1eIiMWK1WlJSUoKGhgZGURGtEQto8VjQ6jWhwGVHn6MVZZy9IRTVWy0xToFoVJSIFqFCQ5snSa0r0el0gnzBZRfYaO+EOjc8MoEJ2VHeGLCLkosmXL747hFw0e7s7mVWErCNjA/MIS3p6uyyvANuLIpaRTNnCfOyzvZZIAZSCE/e2dDBCQqqgExsJaG0qzmcLkRF6ij3fjSkUu7xoMljQarKjzWQbJSN0c5uukZWD3Bu5WiWzGuRq05GjVkDHiIgcGrlk3je+843LdMcnzOwePyMqvXYX2s12tBojuHWY+6e1GOVqlKgu0EeWwixU5mYsyMUyG5y67Q787eRZ/P1EPat1FG3ZSjk+un4V7qhdMe9r0RHw42eHDuDZUydGA3IrtRn4xuatuDSvYMrhcWIym5m7iLaJTvhfj+/CFVVrF62UfKJA5vF4GEEhV86HPvSh0WG9+OKLWLlyJRNwW8rmCwfR7DKh3mVCg9PIyEiz28y0P2I1aaoIy9OzmUWElhWqHOjSFjcYdCo8qP7Mgb4uls5LhKTFOTn2gQrfXZ5TjMtzSrAxM29UMGkxMTZ53MwiMpWLRi+VYXtxCXPTXJK3NGMilwBlzOxp7cDels6YcSIZMgkjIRuLImQkSzl7P/xi4EnxH12WftQbLGjsMaOB9RbYZ6iBk6WSo1ivQZFOhbyMdORpIwvFW8xVIXQxziuR9kluLHJxEUmJWpuI9LX1jY+7io6Z8KvIzcCqwiysL8/H2tJcSNMWp44OWfLea27HMweO40B79yhsYkEqblu1HHdvWIVi7dz0SqI7aXf04wd7d+Gt1pbR/d5QVo5vbtmGWFWNOTFJpKt2CcYSnfDK330eAq0ClJ1BT981dONT5aJcQaXdE8+qEE9oyIJCRCUQCODuu+/Ggw8+GHeCQgSkw2NFi9uMNo+ZuWXa3Bb0+KZOtU5LFqBMkYllyiw2F6QjUiTTLlm2zESM6cmPXDK7DO1M+v1QjAyasVYRIiOFClU8pyrmvmhcZyxmvNNGLppWtj6xUTbAFUUlzE1DqqsLTY+czUlRHRTKgtjV3M7M4wMT4hGoOBpJiV9WWohLSwpQroukt5+PRiSkw2zHmS4TznT1oaHbjKZeK4urmKplqxUsPoLcD5E+EjexWDfK84HL+Tqm2z+Aui4TTneacKrDyHrKRprYyAVUXajHxvJ8bKwsYC6gxSB/jSYLnj14Ai+fqh/nZtxSWoh7L1nDXIzzuXYP9nTje7vfHf3OyoUifOXSzfjIippxblROTM7XlXiejjuRmEwcBsVv0I2xTJ6JcqUelQo9IyuLLa61lHDs2bMHt99+O6iyMbXk5GR89KMfZQSlvLx8TkOhqrntHgvaPVYmx05xIERCev2T5dLH7jhdIEEl4avMiiyKLBTINKAaOeezkew7aQlQrMheU0dMXZHK9AwWuEr1Z9aRVWQJ9E4oUp9k30mBMlYWDbloLs3LZ2RkqVw09PRLSpz/rG9hZGRsxkN0DklN9dKSQqbESbLhFKx5Ppo3EMSJ9l4cbzOwG19dVx88gdiuGLrRlWZpUJmrQ0VOBnMnlGdncAKyhBPHSkPYXYygnO4w4khLDxoNk+O2pCIh1pbl4tLKQmyrKWExOvFslKr+pyOn8cfDJ2HxnIsdWp2XhQeuuIy5HOfayDJD8Sc/3LdnNCie9E9+cOU1KFFr2O44MZkrqhf49tEJP9PaBLt0mAVXUmDlaYcBrlDsipcUyU51TiI3UD0qRoiLLk0+L9acCBD6fD78+te/xuOPPw6TKZLeRgTlrrvuYgSF9FGijSoam/wulopLJIQsIYyIuC2wx8iKGXt+4hQhK1xXItehWJ7BeooJoTiR+TxxxBs7+gFsddrwTk8r3ulpZmqrTPNhTFOLxIyEsCWrEJmLXH8memj6ASMJ7FebG/FGSxNs/vHXZya5aFjgajEjJdE6G/HGaOz+KCvjYHs33jzbjHcaWydViaVy9ZcU5zPFTbKKnC/3jG8giGOtBhxs6sbRlh7U90zO9KHzIu0OIiD05E0EpDJHh6JM9ZJnjCzmnF0s+yaXGs3nwcYuHGjshLF/fOkICiZeX56Hm9ZVYXtNKSSi+JFguu7fPNuEp/YdYzV8ou2qylJ8+arNoCKOc23kgv32eztG3Tv0cPHg5suZ9cTAJennCueFvf1UTJRuUFT9lYhKncPAXBCNThMcoamrXZLrIUeSjlypGnkSNfKkauRKVOx1jjh9SZRDFzobRFB+/qtf4kf/9V8wm/rY7hRaNT71ypPoC3mY5cMccM+odCtLFaFwhICUEAGR6RgJ0YsV580VMxU2VIPmcF83U1rd0dOCTvd46w7VxVmXmYst2cVMcXW5OnNB2SoD4TBOmIwoVqtBkfnTNSJFR40GvNbcxBaLb3yGBwXOXV1ciiuKS7BiiVw09KNMmiJvnG3COw2tk+S/ySqyraIEZOZelZe1KKb1ma7z0OAgTneYcLCpiy20PlH9k/ZBpGNlYRZzB1AWCLlk5pt5MdOY+N8XDwH2e21xsLne19CJA41d49xwZJm7YmUpbly7jJGVmbJgZjtSOu67Te34yY69THGYmoAszhtW4f4tG6CYR8D2260t+MbOt2H1Re41VxWX4LMVy1FTXs51TGY7MRf6dnMxkbGUwIALjS4TC9Ksd5rQ6DKyOImZGpNvF0mhFkojvUgKFa2PvNaMvJakCkHprqNLsoBlmMzVmkCZLRTXQXVfqPeGB8atk94HqaLSYgt6RtfpdWAohKGBEOxvHYflxb3Q3rwBGR+4ZPQUB30DSJFENCP0aUoW91Ek16JQlsHWi2UZ0Ipkcx7zTBjG8++d7v7RVN79fV2gQNaxLV2YxtJ4r8gtZZaReMi+dzkdeOjdHaz6LomVkVT1ykz9pNOi64yIy6vNTXi9pRFGz3ilylKVGjeUV+CGsgqUjph644lNrH3NREaW6TNw9bIyXF1VipKMiPl5KRth1mK0YX9jJ3uCPtpqiBkfQi6Z9WV5WFOai9XFOSwThreLDwGKDdp5qhWvHKnH/obOcVbPDKUU16+pZCSlPCcjLidP1kzSQ/nJO3th9UYIRbo4Df++bRPuXFMzZ7JLpORr/9hZlvcAACAASURBVHyTCR5SUw4EceIrX+fEJC6zdQHsZC7EZKrTofor5NIggtLjtaPb149urx09PjuzLiy0UV2dKFEhkkKOBfohpn9jJaVJap3eHxgKT5nVMtexKCGEPk2BfFUmssRKaJPE+NK2D2LjZZfg4W89hLUrV891l+dle5ZBY+piqbwkdNbhnkwmy5RaRkSuyC1BbUZO3J6qoidMQW40X1/ceCkTVqIneArem9jo/U2//dU4V01hugo3llUwQlKuXpog0ZnICAlPXVtVhmuXlyNfPXfT9UIvBJJiP9TUjT31Hdhb38HUUyc2ClAlIrKxIp/1GsXSKfwu9Pxm+3n2nQ+G4QuE4B8IwuuP9P5ACBRLQ30oPBj53RiKStAPgwJ+z70HCAUpTKhNJExFGi0iAZOYTxPRawHEaQKky8UXnFvL4vTg9WONeOVw/aS4FLKWfWTLKly5siwu5+UZCOI3ew7jqX1HR4NkSfL+G9ddjktKpk4HjjXXNK//d/okHt39HgI2GzoeeoQTk9l+KS707eJBTKbDgLQ3DCNExTowYpmIWitGLBX9QR/6B7xzrqUzH+zJciNNFSJdKGFWG41QNmrB0YhkzIJDPS16sRJkwRnbnnzySXz2s59lb5EV54477sA3v/lNVFdXz2c4i/YZurmftpmwz9TBNEVI7Cw4NF7kSSYQstozpCtCwas5MuWijafP48GnXn0Jj11xNcj90mizgo6fo4id6vzgzn9iT2fHqGWEqvXO1Wo2n5MhF8jB9h68XtfIglidE6q0ktoqEZFrqsqWnIyw4mwGM/bWd2JvQwdOtvdicGh8/A/VayECsqEiHxvK80E6GEuB23ywnu4zdK52lxd9NjfsTh/sLh/6XT7YnJGe3qOeFqcnELNoYbzHFN2fXCKCSiEZWcRQj65LkKGSIkeXjhydEpJFSuNdyHk191qZFeXVI/WwOM+5RUkq/4OX1eCOTdVxIa8Ghws/+uceJnsfbbesXIavXbN1zkUjm202vH38GP7tqqs5MVnI5F9In11sYjJbLKi+jSsUgD8cRGAozMTEAoPBkT4E/2CISYaTvgdZUEZlpZm8dIQkRN+nTCIiFERAJCkits6WlIibaCE/1AMDA3jqqafw6KOPsi9JtFFWz7e+9S3U1ExfDXm2eMx1O2bKd9pYZd69pk5mHZkocEb7pLozW5muSDGziiyVENs/21rw66OH8ek16/Hwrh3suFQvg7Jm7l1VO+l0SRiNgt8WMlezxZDM0FSLhmS53zrbPEnsjMjIdSNkJG+JLSMUtLq/oQu76tqw+2w7bO7xMV4U4EjiW5csK8SlywpRlaeLu6VrtjjOZTu6Xq0OL3otThgtLhit5xaT1QWTzQWShF9oI5l3snRQUT72G5GcNBofRevsd4Rk6pHErCqBASoEGGbFABdam4fIS65OyUgKkZXczAhhKcrRQCE9v2J5dM2Tle25XSdYTEq0UQbWNbXluGvLKizPn+xmnet8UGmFR17dORogq5KI8fVrL8eN1eeKrc5mn4lyn5rNWOezDVd+nYDaxT7h87lIZvOZYDCI3//+9/je976Hrq6u0Y/cc889eOaZZ2aziwVtw7JnXHamJULLPlMnzP7JpvxMsQxUlfeSrEJsySqCThLf9MHZngT5jDf87y9xVUkp7lxezVJ4nzl5HL85dgQ/ufZ6rMnKme2u4rIdPZFTnRAiI5RRYxvxi0d3TjEjREbOh5uG1EGJiLx3pg2Hm3tAVpyxTauQ4JLKCBEhFw1VuU3UFg4PorvPgU6jHR29/ejotY2u+6ZIT554LkS+lHKyTIiZlUKtjFgryFJBi1ImhkQshCSN3C1Cln1Cr1mNnHnWn6HvF6uVEwwxNxGRFa8/CIebrDT+cRabfrc/YsVx+WDt90yyYsWamyytAmX5Gago0KGsIAPlBTroNecnq7G9z47ndp/APw6dhW/gXKwZc/NsXY2rVpbNOUZk7DlTGv3TB47hZzv3IxCOCEdSscCHbtiOXNXsrLQX+32KExNOTOL6G04E5emnn2YWlI6ODnzlK1/BD37wg7geg3ZGTzj1/WYcMkeIyGFzD2yByRlSVAyPZN/JRUNLiUK9JFaH2ZzwTc89y+pk/OWDHxlVd3zgzdcgFwrxnW1XzmYXC9qGBdX2GPH6mSaWUWN2j8/wKddpR8lIkXbxheGiJ0MkiYTN3j3dil117Wg2RrIboo2e6CljZsvyImyuKmIaIue7TszEiSBszXYPmjrNaOqyoLnLgrYeK3rMTgzOUKSP4jmyMpSgm/XokqGAXhN5na4QXxBWIMKEbsJ9Nhd6+pwwWJww9DnQY3bAYHbCYHawOJipmkIqQlm+DhWFOtSUZWN1ZS6LaVmqRqJuLx+sYySFii1GG9Xwue/qDbhuTeWCCApJ3T/0yjusBAM1UpD9/PZLcc+GVTPOLycmS3UVJMhxLvYJXyqYQ6EQs5TcfPPNyMiIRLqHw2EWj3Lfffehtnayu2K6sVGQaLPDioN9Xawa7/4pXDPkriKXzEZGRgpQrdbP+CVfLEzo5kRtKvfLEwf2spTfp2+9HdnySGzJ5994FRqJBN/asm2xhgWT040Xj9fhryfqQL7vsY0ktckyQkupbumyaZiKrsGCVw/X443jjeP8/TQ+eurfVFGArSuKcVlVUcJlzzg9fpxtM6GuxYQzrUa2TrEeUzWqk0PujIJsNYqy1SjIokWFPL0KSllawpDnRbsIRwL2yarS0mVFU5cZzZ0WNHaa0WXsnzJGpjRPi43VhdhUU4ia8mwIBYuvwk1EeU99O/646wTL6BklKNp0PHDLZmyrLpn3fNF1/9LJejz25nujLtOaHD1+ePt108ZsXez3KW4xmfDNu9gnfDF/aGbaNxGVf/mXf2Gb3XTTTXjooYewZs2amB8jItLosLDYECIjZBWxD0wWuFOJxKwS7/rMPKzX5aFKnRkzs2WmscXz75QG/FJjPf7eUI8fX3N9zBRgOp7N58O9L70IyrD59uXbcaqvDz8/tB/fu+JqVGi08RwSc3+QvsJfjp3B7paOcT/8+SolrltRgeuXl6M8UzvvH9n5DJjcNK8fbWABiFSFd2yjDJoty4sZGVlbmrPoxdrmMn4KNj3e0INjDd04Vt+DNsPkukgRUgrk61XsyZ9uqoVEQrLVyMtMn7dbZS7jvBC3pbiW1h4rmjotzOJU12ZipGWisCG5ptYsy8PGmkJcurII2brZuUEWgsmZThN+/eYBZsmLNqrP8x+3bWVCfPNtpCD7/Tfewz9ON7BdUJbeD267Blcui12r7GK/T3FiMgUxueHZ/8Z1K9dha3YRu9ktRbn3+V7UF8rnXnrpJXzpS19Ca2vr6JBvuOEGRlBqalfjrN2MYxYDK4RHAmeO4OQnTnLNrB8RNyMXTamSauWcn3oqY3Hv9/vxWksT/t5wFkeNvaN/+vjK1fjW1u1TTtHJPhOeO30SBw097If3/nUbWNnzWGnD85lnqk/z4rEzTFMhqqdA+5GLRLipphK3rarCiuzMJSUjlNb79olmlglB+iJjGxW8I02Ja2orUJ69tCRpOnxtDi+OERGp72Z9R2/sonJ5+nQsL8nCihI9KosyUZqbwYJNeVsYAh7fAE40GXDoTCcOnOpAp3Fyev/yYj2u2lSJqzaWQ5u+uLFjVLfnR3/fNXr90k/QbRtX4N+uvwTaBaSg72hsxX/+/S04R6prf27bJnxmy4ZJ309OTBZ2PV1wn45OeM4TX0OqOsLAtWkSlj66lZQ+s4ugSeMiTPOdWHLn/OEPf8DDjzyC9jEERVJTAcWt2yEqyR+3axIyI2vIhsw8bMzMxzJV4mRZkGIrVex9qfEs3u1oR2hoaHTsSlEaS+394LLlWKnPmhauQDgEXygEtTg+1xVV7n27vhl/PnqGFcsb26hI3gdrV+CaqnImt75UjWINSCb8pUNnWewIaaJEm1wswtWrynDD2mVM5CwR4kUoEJUIyMFTHTh4pjPmjZDcMZWFmahdlotVlbmoLsliQam8LT4ClL104DSRlHYcruvG2MBhIgm1lXm4elMFtq0rY8HAi9HIDfPOyRb8+OVdMNgiLlFyOd53zQbcfXntvBWOex0ufPb5f4xm7lAq/vdvvQaSMXWkODFZjBlN4H1GJ/yTf30Kx0JuWAPjAwLp2XyFRo+1ulys1mazJVd2YWojLMU00Je3x+Nkgaq0nLQaccLaC5vPA++BU3C+vANhUyS4UbplLcrvv5sVviMSQmSkUqVLCItIFCtyiezr7sIrzY14s7UZnuC5Qm9UHZfSfW+tWIathUWg10vZGkwWvHDsDP5xqn6cLLxaImaWkdtrV8y7LPt8z4N0Iv5x+Cyzjlhd54KTSead3DQ3rK1kAawk3HU+G8URUIDqwTMdOHCqEyebDCxwc2xLSUlGVVEmC8IkF0J1WTak4vG6PufzHN6vx6a0ZiKPb+1rwK5jrfCPyaSh64xiUoikbKktXRTr1UAojD/uOo7fvHkI3oHI7wG5db79kauwbJ7uHVKq/cZLb+G1uqbI/jIz8ORHbkZOeiQWjROT99nVPnbCs3Ny2M30PUMbqyh71GxAeHj8jxXBQxaVVURSMrJZX6PJApWrfr81T2gAjQ4r6u1mNPTTYkGDwzxaIXMiHsLkFCxTZiDleAOO/uGv+L8X/oTLqlcxsyURmuPHj885SHYxMGe6HoYeRkaoWF5/YLyLaWNOHm6pXIbrSsugEC2tHoMnMIBXzjSy2JEzvZFaRtSIQFMK4h21K3B5eTHTrViq5vD68frRRrx8qA5nu88VNKPjUzG8W9Yvx7W1FVCeZ+0KCljdf7ID+0934ODpTpbiOrGVF2SwG9vaqnyWGcLdMkt1Fc3vOKRqu+dEG97a34D9pzqYFku0ySQi3LC5CndcsQr5WfHPMrO5vPjvV/bipYN17JBkUfv49rX41LUb50W86Tfw17sPs7o71OgB46d33oi1BbmcmMzv8rhwPzUdE3UHB7Df1Mk0Mo5be3HW3jfOfD/2plCs1KBUqUGJQoMSpRolSg2KFWoohEt744r3TFCBuy53Pzpc/aD6Mu3ufnS6+pmku8E7PsNj7LEpDqRQrkK1Rs/IGy1Vah1EKZEnZfoSjs1eefXVV3HjjTfiyiuvZDEol112WbxPZdr9MWJkMuKVpgZWo2ZisbwVukzcVF6B68sqkDOSUbNUA6SxkebIX47VsYqm/lBEC4FalkKO22uX4wOrliN75OlqKcZF1gXKWPj7wTN490zbOGsD1SIhN83N66tYUbzz2Sjjg56q9xxvxanmyUqxpAeyoboAG6sLsH5FATTKi0+y/nziv5THdnsD2HmkBW/vb8CRs93jgmdpbu+4ciUuW10c96w9clk+/Pw/QYHd1Ap1Kjz04atQWzI/baIdDa348l9fhy8YYgUBv3nDdlySqUJeXh5Xfl3KC+p8HmsuJjK6SRM5OW7pZe4JIivktpiuZYilI2RFw1xAOrEUOrFsdEkXnb9UQVKSJVEys8+DvjF9n88Do8+FTpeD9eNFvyefLcWFUCxIpSqD9bSUpWshTp19EODdd9/NYlGi7YorrmAEZfPmzYt2eZBlhAJX32htxpstzTB6xtc1KlNrcFN5JYsdKUqP/xPXTCdm9Xjx9xNn8ZfjdaCg1mijH6ttFcX4YG01LinJj/sP7XTj6jD3sydEEqOyuM65PUWCFGyrLmVkhETP4lW9dSaMJv6dCNPp5t4RMtKGLtP4oElyz6wsz2ZWEVpI5CsRYlzmep58++kRMNvd+PvO0/jbzlNMDC7aSMTttu0rccvlK5hIXbwaCbM9+epe/GHX8VHF3Ds3r8Tnb7wM0nlI8zebrbj/uZfR3R+5v9xQlI0ff/zDnJjEa8ISfT9zISaxzsXi9zKSQq6MVqcdrS4bWp02+CZUq50KB3JvEHkhskK9TEAS8oLIIiApeQG7wUffI4sDEQVWvG94mNXXYf1w5D16PRAOwR0KglwtJMtOcRGsD0V6sgRZ/J6YWTBTjZMsIDlSBQrlahQqVCiQpzPCRWREL1m4YuPQ0BD+8pe/4Dvf+Q7q6iKmUWrbtm1jBGXr1q1xuZQIowM93Xi9pQlvtbZMsowUKNNxY3kFbiyvjHsK72xOgMgSpfeSq4bSfanmT7RRMTBy1VDNDbU0fj+qM42L/N9vHmti1pHjbecykOhzJAd/y4bluGZ1ORSS82MdJHVVMuPvONzMLCMu78C4U6LaLpesLGJPy6SHIT/PLqWZ8OZ/jx8C5NrZebgZf/nnSRZHFG2kiHvFhnLcff1aRk7j1ah+07efexttfZEsLso6++adVzKV4rm2fp8fD7zwKg60dyPkcqDtie9wYjJXEC/U7RdKTGKdNxEFk889jqi0uezo9bpARCZWDZfzjR89hUctOZkSGSMb+fJ0FMnVKFCokCtVLklwJxGUF198kRGUM2fOjMLy4IMP4pFHHpk3TJ0OB16sr2PLRMsI6YpcW1KGa0vLUK1b2lTa6AmR2fZvJ+rwzIHj6LQ7Rs9TIhDguhXljJCsys1a0jRfqsr6/O6TeGHvKTh95+JsVDIxblpXhVs2VKE0K776K3OZYApefWVXHd7cVw+SRR/bKI138+oSRkZWlmUjdQljbuZyDgvdllRlnS4/3J4APKPLAHsdeW8AHm8AweBg5AGGKgoPDzMlZQqfYw84IxWHqaowk7KXCCMS9xJR5DVbF0ImFSFDK2eLUHh+g5fngxvppLz4zgm8sbeeSexTo4yem7aswKc/eGnc3HjBcBi/eesQfvf24dEHi49fsZZZT+ZqnSML4A/eeg+7T5zGm1//PCcm85n4C/Ezi0FMZsLBFwrCEvCec6EwN4qXZQT5wkF4QyFWzI+sLrT4x/TRCrlkwaCifdSz4lyjRfyAtJRUZnmh6rXRXiGk19FFCK1YCqojQySECAkJly1FwbiZsIn+nQjK3/72N0ZQTp06hSNHjkwpzjbVPqk+zWvNjfhHU8M4rRHavlyjHSUjJG52vs69z+XB/x06gT8fOTWuku/KHD0jIySEJhMtbSZIi9GKZ3Yew2tHGkbr1FBgH2XTkHVk8/KieadGznb+p9rO6fbjzf0NeGV3HRo7JgTaFutZuuiWNSVMWfViaB7vAMxmF/rMLpgt5/rousXqZmRjqZtKJYVOK4cuQwGdbqTPkCMnS4WCAi2I5CRqo1iUV/ecxfNvHGPFE6lRJeR7b1mPD19TGzd12SaDBd/641uo74lcp9trSvHoPddCPCYNeLYYNbe1o7ykmBOT2QJ2oW93PojJQjCjJ5xEEBhbyDnM5bNEUPbv349LL7109GOHDh3Cl7/8Zebi2b59+zhSQW6rt1tb8HJTPfZ0dWJwTIlUdZoYN1cuY1ojyzLmr9o4l/FPtW1dbx8r7PXamabRp6qUpCRGRP5l42pU5yy8sulcxklP0Yeau/HM/2fvKqCq2Lrw91QaBUVCBJESlBBswMBu7ESxu7u7u7vriYqt2KiIWCggoiINKqF0h/7/2ufKFX0qcJvr3WuxqJlz9tln5s43O77t8RxebyK4p6ooyKOHvRX6NbUBMbOKQ+jB+zQwEhfvBuCBb9gPlRdalVTRsbEFOjatBX1t0ecBCcoe5PWIjPqMiMgERER+RgT7+TMSk36kLyjOfOThIO9GeVVFqKoqQFVFEQqK5bgvMZRnQ54C9lJD3YbLlGHD5uTkITMrF5mZucii799+pu/0e3EBEHkF9PUqwdhQC8aGmjA20oKRoSbztIjrBeBXdqPmhKduvsChi0+4PXyo+/HEfk3RrK6JQHQl78myU3dw6elrpoKFvja2jHCCplrJCOFK23OqONdp4WNkzK8/WUzaN7ykF0hpOJ7YY93d3ZmqBFjmzJ8PORNjXA5+i9thYaCk3gJRLFcOrQyNWRKrOLhGCtuT3OeUN0KA5GnEdyI0YmXtU88Kzg1sUEWtvEi3gHhabvkG48jd53j77c2OFNBWV4VzszrobmcJIkQThxD76mXPQFy8FwAi2CoQebmycKxngk5NLFHPQl9siba82IQe7u8/JOLtu1gEvYtBWMQnREQlIKkYAESjkirzTmiTl4J5KiqwnzU0VFGhvCIDIAREhBG2IuBK3hvy0JAHJ/5TGvPgcL44P9P/8vJ+7ARd2Eako5GhFixq6sLGuhosLaqybsjiFrrOdrs9xGXPV9zEVeKtmTLAUSD5J2S7A7eeYdtVThmwjnp5bBvZBTWqFj+3RdqfU1IDTEJCQrB+/Xo8fvyY5SKYm5v/kJNQ3Itd2je8uHYoTcddunQJixYvhp+vL1dtheoGUG/XBkrmNRi9e+Nq1dHFzBytjEygKi/eD7+07BzWRO/EUz9ulj0prl9RDS6NbFmpL3kmRCnEh3Lu0SucuOeL2OTv1UhmVTUxqEVdtLGtIZZwTYF35LzHS+YdKdyZlyjfuzSzROtGZqUmgfVzQhreBMUg6F0s3gR9ZIAk46fk3B8e3hWUYGhQGQbVNFCdvutroIqOOiprqEp8XgftXWxcCkLD4hEaHo+w8E8ICYvHx5jvOVOF11quXBmY16jCQIpt7WqwqFkVimKk838bEYdNx+/BL4iTJEsepS7NrTC2d2NUEEDC9A3fIMw/foOxIBNj7NpBHVlYtDgi7c8pqQEm1IeFOtc2bNgQ7969A7n8CydLFmez6Rhp3/Di2qE0HJeWk4O7EWG4ERqCu+GhSPQPQNL1m8iN/u59MLaywrbNm9G+xe/71YhqrVTie+yJH0tqpeTWAqlbTReD7eqihZngORWKWlt8SjpO3PfFWe8AUJv3AmlcszpcWtRFA1N9gbiwi9Lj5///zjuirCiHNnbm6NrcGjUNtUs6rEiPpzfjyKgE+L2MYl+v3nzA58/pv9SBkkdrmGjDxEiLA0CqVUZ1Aw1UVJc+HhUKBYWHf0Jo+CcEh8bBPyAKUdH/7T0kJ1cWNc2qMJDi0MgUpiaiT0SnPaTqrm0nPbn5J5oVVTB7SGuWSM2vvIyIwcR9F5GUnsWAz6wejujbxKbIYaX9OSU1wISASEFsdPDgwSw5UgZMiry+S90BiVmZrD/N9ZBgPIyKREHyb8FCbLV1UDXuEx4cPQ6/58/Zn2/cuIE2bdqIZa30wfYwNArHnvjifvD3jqRyZcuig2UNuDS0hYWu6B+wlNB6xOM53J+/5ZKhEX03NdBzaV4Xprqir64hW1GjNrdb/rjrE/wf70i35lZo3chcYmngSf+oaAIi0VwwkpT8XzZZyrmoXq0yzM2qsAcveQkMq1cWSshFLBc9D5MmJKTDLyAKfv5R8H0Zhfcf/tukr4qOGpo1NkPTxmbMbqLMT6H8kxPuPjh48Qk3p6m9Q00W3uG3F8/7hBRM2HuB2127f1MbTO/W7I8hSRkw4eEiE/cpMmAi7h0Q3PyU3PsqPo41yaMv/7iYHwje6C2jYVV9tDU2QRtjE+iocnIy6CFx/fp1UJhn586d3A8x6mz85s0bUF6KMD/Y0nNyccn/Df595oeQT9/fBiurKKNvfWv0rWeNyqqifRsmmzwLeY8jd3x+SGilnJGeLKHVluWSiFqIRvy69xu43fZDSDSnbxJJafCOUGjmqU84nr0IZ4DkV7khKsrysLbSR21LfdQ012Vv/lR2K5PfW4DyU8jL5OsfhafPw/7jadLSLI8mDjXQrLE5LGuJrvFj+IcELNt3A4GhsUx5YgaeNaQlS47lR6jj9ozDV/E4KIoNQxVvawd3gPJvQroyYMKPtcV0bkmASWpqKuirQGJiYtCgQQO8fPcOVqamYlrB3z1t7pcveBgdCffgdwyMJGT9+NZJHCsO1QxYeW8rI+MSdeUdNGgQjh49ykqNFy5ciM6dOwsUoMSmpOGAtw/O+b5GRqEGfxZVtFj+SHuLGpAvJ9rSSQIk91+FYc+Nxz/0rqGkO2dHW5bQqqoo+oTWz8npOOH+HJfuvwK1tS8Qw6oajC68vUMtifSOULWMx/038H4cykIRPwtxfFhb6sPGWh+2tQ1YeIYqX2TCmwUoV4Xyce57BcHT6x3LWykslATs2NQMPbvWB3lVhC2UtH7y2gvsPfsQOd+Se9vamWPmkJZQ5SMxnBLPV7ndZWFVktrVq2DnmG6/vDdlwETYuyyE8UsCTBYvXowlS5b8RwujpYvQvm5d9LGwYg/Bv6kkVwhbUuSQ2fl5ePQ+mrGvUtfe5J8a5WmrqMKxuiH7sterBqpcKank5+ez3jv379/nnmpra8vKjJ2cnPgCKDEpadj74Cmji6cPGBJKum1T04RV19SppsvX+CVda8HxxDy56dKDHxhaKaGVwjVt64gnofVTUjqOXnmGC3dfIvfbBzvxojSta4JerW1Qx1xPLLb6k40pYfPu/TcMkFBuRGGhXAgbK33Uta3OEjdNTLRBYTGZCN4CBLLfhcTh/oMgBlQ+fPwe8iHw17pFLfTv3QjV9IXfkykyJhHL991kPZdIDKpUxOpJTjCqyvvctD4KsdI9S9KoRjVsH9UVxExbWGTARPDXltBHLAkw+Z3HRH/JfJRTV2e66pYvj161LNGzlqXIG7YJ3VhinCAuPZ0lr3qEhzEPSVb+97JeUotYV9sYm6JFdUOYV9YUyMOKJbN5eDAw8vAhp1yPxMbGhnlQunTpws1VKo5pPianYq/XM5x98Yrb0FFNUQHODW1YuEarvOhDI6R3RFwi63Tq8TLk+xoNdTG6XSPWu0aYYazf2Y16lBy7+gxnb/tx3zRVlOQZGOnesja0K4m2NLqo/U1Ly8ade69x4/YrVklTWCqqK7NQgl0DE5acKc7qkaLWIa3/p3uZKn3uer7FJXc/pKZy2H6Jk8WxiTmc+9oxb5Uwhbwn/7o/x64zXvjy9X9QUpDDgpFt0bJBDb6mPX7vBdad57xAdapfE8ud2/5wz8qACV/mFc/JJQEmP2tYsOFbbl7HV52bigAAIABJREFU7YRPLL+hQKiVfONqBuhdywrNDY1A9OAyKb4FCvJFCIh4RIT9YNuCUWpV1kR7UzN0MjWDwTdgWPwZin8kfajdvXuXecs8PT25J164cIGBk6IkOjEZ+x764Dx5SL71r1FTUsQQuzoY0MBGLKER0plo43ddf4wLj1+xD0oSQ+1KmNS5MRwtjcQCSFIzslni4KkbvsjK4VQjESDp164O+rStI5DSy6L2q7j/p7DBC79IXLv5Ep4P3/3Aw0EEZU0b10CLZjVR27qazCtSXKOK4Lis7FxccfeHq9tTJCR+r3yya2iMAX3tWOmxMOX5m2jM23aF2wphUv9m6N++Ll9TbrjgiaN3OQn8I9o0wPiO30klZcCEL9OK52RBAJPo6Gjo6enh9ad4nA4MwIWgN0jN+R4Hp+Z5dvr6aGlojBbVjVClvGS97YnH8j/OSg//8OQk1iTv8Ydo9p1o4QsL2dFBvxpaGBqhuZjseO/ePVBILzY2ljUMLFuW4zbNzMyEoqLiDx6UoLjP2Of1DO6vgrht1DmApC4GNKgtNkBCPCSH7/jg2L0X3L4fmmoqGNveDk4NLMTyEE3PymFg5N9rz7k5JPRGSTTf/TvUlShAEhObguu3AtgX0b0XCIVpGtubok0LS9SrUx30u0wk1wJUPUN7ePL0kx9yUerYGGDwAAeW+yMsiUtMw4xNF7mtEQiYTOjbtMT9cAr0I5A8+6g7bvi+Y3+a37slejlYs59lwERYuyjEcQUJTArUzMnPZ7kPpwJf4dF7TuZ0YaE3/ZZGxmhhaMxCEH9jTsrPQOTJ+/f/6dZLNtNRUWUeJwIjlC+iJCGep4SEBGhofI8PT506Fbdu3cKCBQtg0tAB+7194BEUxt32SspKGGxXB/3JQyJiQrQCJYji+ozXS9YkLCmD48pWVZTH0Fb10b+ZLU99OPi9NbNz8nDmth+OXXmGlHROsz8FubLo0coGLp3qC7S9PD+65ubm48HDd7h64yXzkhQWU2NttG9rhVbNa6FCeSV+ppGdKwYLUIfpO/fe4MSpRz9wpDRvao5Rwxyhoy2cJNmMrFzM2XYZTwI41xMlxVJo5+cckeKahO7vMbvOwyfkPXumbB7uhGaWRjJgUlwDivs4erstoCXfsWMHqCx048aNTK1mzZpBU7N4dL/FQaKfMjJYKMIjPJT1X/k5N0JTWQVNDaqjThVd2GjrwFSjMkuElDZJyMxkHqWA+DgEfoqHz8cPvwQiKnJyqKerh0Z6emisb4BamlpiCSmUxP6JiYnMY5aVxXnYy2tqQ6NpG5SvVRtVK6phqH099LC1EMuDn/ShtyniINnh7o2PiZw3fEq47Nu4Noa3aQjq+CtqoZbylNBKXA+UT1KgU7cW1hjUuQE0K4on3+ZnOxBd+qWrfrh63R+FeUaIIr11Cwu0a2MFAiYyKf0WIKbgB97vcOTEQ4RHcErRicyuX68G6NerkVByg+g+WL7/JutaTNLAohpLiqXwJS9CpcSDtpxiPCeK8uWwf3wvVCybD319fVkTP14MKspzIiIiYGj4azpfyiVwdHQsljrFASaFByJPClWT3AkPZUAlJv2/zI6Ui2KpqQ2bKlVgo10FNjo6XL6NYikl5oPIE/IpMwOv4uNZXkjgpzj2c0z6d+rywipSF+N6VauiYVU9NKqqDwst7VIFzCih7fbbUKw+fBxPz7oiM4zjSiXRMzTCymVL0b9vX27IR5TbQ3vh/TYSWy57IegDpzqEkv2IGG1sB3voaQjnTfBPayR73fB+i71nvbnsmFRl06mpBYZ0aYQqlcXT7K+wzmS3576RuHDlBbwfh/zQgK5+nero2K427BuZSDzN++/2gdYnjoRmUV77/MyV/+Urrl7zx4EjnkhN43jxqIng6OGOLGdI0LajF4edpx/g2FUfNpeZgRY2Te8GDR6ZfGMSUzFwkys+pWawl461fZqgYW1LGTDh56IoTeeWFJj8/OH39vMnxkz65EM0/ONiQd1tfyUUzjCrrAkDNTXoq6mz79XU1KFfQU0soQ1KTI3PSEdkcjIiUzhfUfQ9ORkRKcm/XQetrVoFNVhqacNaWwcN9fRhoalVqoBIwf5k5OTinF8gjj72/aGHjU5GMtK87+CF9/cqHurFRImyZmZmIru8AyJjsfnSA+bWLRCijp/YuTGoBFjUQg9Dzxeh2H3mIcI+JHBBUptG5hjRw04iuvtSo7kbtwJw4Yovot9/J7qj5nYd2ljDqZMt9HRLZxfi2A9JCAuOg65+JVQ31mKkgoJ+wIr6mhL2fKlpWTh87CEDqAXdkYmgbeKYVqhhKvgO3ievv8DmE/fYsnQ11bBlZndU0+HteqOmmkO3ngF9TmnKfcWdDdNlwETYF4ykjM8PMPl5DfSwD01MhF9cDPxiY+AfG4OghM/48j9OtcTvpGr5CjCppAGTSpVAYSF1RUVUVFSCutK37/SzomKxH/5E9EUeD/aVkYnPmRksCZXzewYDJKFJif8JSf1KP0P1igyEWGppMS8QhWXUFBUlZft40iMnLx8nnvljz4OnSMnivE2RNKyujxGN68PBmFNe++jRI1bFQxT3VapUQVhYGEuOFbakZGRj3fl7uPyM4xomsTTQweTOjVHfVHjJfH9aF3E4rDpwC77fGpzRsY1tjDC6l4NAOrDya1NqjHfyzBOcvfgcWVnfXw4oRNO1sy1aOtYSihufX72Lc35eXj62rLgM3ydh0NAsz6jse7o4wN7RvDiny44BEB7xCdv33GFeNBLyOnbvUhcjhzpCQV6wBIg3H73Fkj3XWeuHiuWVsGtebxCJIC/y6G0kxu+5gMyURLw9tFQGTHgxYmk8R5DA5Ffrz8zLY+EQolYPS0pCVEoK80xQWISATEmEuuSWl5dnQIdKQ7/+7yvyv32nv9EbQf7/vpZ43AoKCjAgL446eXK+famrw1xDkydis5KsSZTHkn2uvnqLTXe88THlW55GmTKMnZWSWn/Xw4Y6WMfHxzNStgI5ePAgypUrh/79+7PvghB6A77lF4zVZ+8iIY2Ts2GgVRETOzmgpbWJWN6OKanwuLsPDlx4zCVHszGryjqu1q4h3JLM4tg0L+8LLl/zYzkFKSmc/CCqpKEeK90610GtmuIhuiuO7sU9xv2cD+7ffIWlm52hoCiHQztu49H9ICzb4gztKhzuJV6E+o19/UKfG1/ZZweNLc0eGBYWfRyCHXs9uB2PqW/R8kXdUFlDsFWWPoFRmLH5EjKzc6FVSRX7FvSFDo8hzstPX+OshzeOzBkhAya8XOil8RxhA5Pf2YRo2N+nprAQCnlZghMTEJaUiMSsLKRkZyM5J7vEAONXcxGde2VlFWiqqEBTWZl5ZOh38oQYVazIwIi6ougTJ0V9rXiHRmL9LS+8jo1nUxNHTTcbC4x3bARd9ZLlRKSlpbH8JqrqMTExwbx58zBgwAC+AEpccjpWuXngbkAo04+qWsa2t2cU8tQAUBzyJjwOK/bfRHAUJ7eF+oRMH9QczeuZiv0Bxmj3HwRh32FPLhsoAZKunWzRr3cjVKoo2r5EwtifgkalCyadgJmFLgaMbM6mSfiUhilD96OHsx269G30y6k/Ridix9qrSEpIR1JCBrKzchn4oOTQr/T19X8sFFRYiEm1vJoSKqgp//Sd8zd1DVXoV6+MaoaVoVqKK5eoOuvAkQc4dfYpW35lDVUsX9SdNVcUpPi/+4AJq90YuaCxngb2L+oHZUXeEmKJzqJatWoyYCLIDZLkscQFTIqyCXlT0nJykJSdxeja2fesbGTk5bIulFRKRpU/Zf/5h/1c9p8yrH6efleRl4eWsio0VZShpqAo9odIUWsV5v9fRH3AtruP8Cg8mjtNM1NDTG3VGGbavHXUpWtm7NixuHz5MndMIyMjzJ8/nwEUuRKUQ9MD4uyjAJZLkp7NCUHUM9HDwj6tmLdEHELcEPvPP2IkaQWkbV0cLTG+b1OJ4CJ5+Soau/bfxZu339lZqcx32KAmqKLDuwdBHLb+05wUwpGTK4fNyy8hJzsPk+Z1hqKSPN4ERGPq0ANo3t4aM5d2/2WuCeWjDHLaLLQlUUjJwEgL1Yw0YcC+OD+Xr1B6XnLuer7B6g3uyMnJZ0nQs6d1YImxgpQHL0IxY/NFEAZsXt8UK8d34onnRFKfU4Ky1T//+xkmC2rkUjqOtG94Kd0WvtX2fx/DAIlX6He+ilpVtDCzdRM0MqrG9/g0wPPnz7F06VLW0bhAyJNCHhQXF5ciAUpEfBKWut7C89AP7HTq+jvFqQm6NbLk6cNLEIuitzzykkTGcHqSUALfvGGtUc9CMDbjR0dqprf34H08fPyddp+ItIinwkwIiYz86FrSc+ljuSA5k/IfyhSiG3jxJBQHtt6CTX1DNGlpAc/bgQh5G4PEz2nYf3YCC8UUPp7mJiCzd9MNVNRQgXolVSirKKBM2TKg6inyjNDP9CJD55UtV4Z5EDPSc5Caksm+0lKyOD8nZyEtlfNzQnwaMr7x1PxufRRasmlgCJv6RkzfSpUFGyIpqV2LOj4oOBbzlpzldjN26W+PwQMaC/T+O3rlKXac8mKqjOxhj2Fdf+3l+pOu0v6ckgGTn3Zf2je8qBtT2v7/6mMcAyT3g8O5SzPRrITxjnZoU9NUoB84BRO8ePGCAZSLFy9yAEb58qBy9kqVKv3SvNT076jHc+y+/hi5+ZwGgC2sTTCnZ3NoqYmH+yMrOw87z3jhzC1f9nZHD8c+bepgdE8HKCmKtxVDSmoWDh3zwqWrvtyHt1F1TYwa7ogGdQ2l0iNIwOL1y2jExySjbZc6ePvqPdyOPsT7yATUszeBUQ0dnD7shd2nxorsFibwRGAoMuwTIkPjERX+ifNz2Cekf+tb87MyBsZasK1vCJsGRrCuUx0q5YWfPF5SgyQkpGP+0nPc/kjUhmDO9I5Q4jHs8vP8ZLcFO91x63EQ+9fayU5oVtekRGpK+3NKBkxkwKREN0RpOfht7CcGSO4EcXI0SAw1KjJA0s7ClIW/hC1+fn4MoFhaWrLvBfL27VtQqEdeXh6BUbFY4nqby0lSuYIy5vRogVY2psJW77fjPwuMwsoDt/DxE6e9fHXdSpg/vA2sTHXFphNNTIm3RIxGoCTt25t65cqqGObSFG1aWrA3f2mQL/lf8CbgPfx9wvHyeQTC3sUhPS2LeTqs61bHzGXd/7PWxVNPoqaVHnoPbix2YEYPXspliQiNx2v/KPg+DcfbgPds/woLeWnMaunCrpk5C0Np6Yieg+d310tOTh7Wbb6O23dfs0NMjLWwcnEPaGmWLP/sd+MTO/LIZacQFBkPZUU5HFjUD0Z6xQ8ly4CJNNzpJViDtG94CUxRKg8lD8neB09x88139361imoY59gInazMRQJIfjZcYX6JvLw81KhRgyUd1mvfA6FyusC3ZNauDS0wrWtTVFAWz1tkemYOtp68j4v3XrElkJt/YKf6GNqlkcBLKEt6cfm8iMD23bcREcXhS1FQKMfa2/fp0aDUlv3+zgbrFp6Dz6MQGJtVQe161VkYxMzix4qn1ORMUM7J5/g0+HgHI9A/GqOntUM1Q9Hz2RRnL7Myc/DKl0BKGPyehSE0KPaH06j6h9baskNtNG5Zi4WaxC103/576jFLqCapWFEFyxd0g0UtwVSfxX5OxeCFJ1jjPz0tNRxc0h9qxWRslvbnlMxj8tPVL+0bLu6bXVjzPw6PZoDEO+x7H6Oq6hUwtlkjdLGuKZYmdr9a6+3bt9G6dWvuv+RU1VHDsSN2rVyEJlbi85I89AvDqoO38SmJw1xsWk0TC0a0hVl14baNL+p6+BiTzMo5Hz4K5h5Kia0jhzYT2NtrUToI6v8pSRl4cOc1HnsGobuzHeo0NP7l0L8jSiso5y0nV5aFdA7vvAMf7xAGWnoMdGA5HKVFyBb+PhF45h0MrzuvkZlRqEGqghzsm5ujjZMtbBuIpyN2YTt6PQrG8jWXkZ2dx0rPF85xQhP7GgIxte/b9xi32o29qDSwNGDssNRaoiiR9ueUDJjIgElR94BE/z86MRmrb3j+ELIhD8kwh3qs/Fe+nHhKa39lNMol2XzxAfafc0fc01tICfYHwCnRrFq1KubMmYNhw4aJhLStQD9KsKSKG+IlIaFmY5SMN7BjPUbcJU65efsVNu24xSVII2bOCaNbwspCT5xqlXju4Dcf4XbMmz2AC8IZnXrWx4Q5nX47FoGQ/33lJPdQUurPfCIF/y8r5j0qsTF+cQLlzxBYu33Vn3mKqHy5QAxNtdFzoAOat7WEONcaGhaPuYvPss7TFDLcsKoPbKwFkwB+7o4/1hy+w5ZMOVxDujQs0qwyYFKkiaTrAGnfcGnZrczcPOYhOej9HMQBQ1JTRxMjG9dHm1qiySEpiS0TUjMw84g7l07eykAHznX0cXTPDpw6dYrLIUFVPG/evIGCgvBd2RTnJkZKj2ccbwR5RxaPaleiWHdJbFDcYzOzcrF5+03cvBPITqlQQQljhjuibSsroSQrF1evkhxHXg/yZpw5+pDlihSIvEI51G1kgpYdrNGklUVJhvwrjk1OTMfd6wG4fcUfIUHfy78puXfczA6wtDUQmx0+J6Rh4vR/GRkbXZN7troIrBx96d4buPogkL0YHF8xkOV1/Umk/Tkl85j8tPvSvuFiu6sFNDF94Lu/eod1tzwRm8oJO1RSVsK0Vo2Zh4TeLiVNXkbEYNrBK4hP4ejbt4kNpndtym2F/vr1a6xYsQKurq4YMWIEdu/eLfQlxCWmYcamiwiK4BDMtbEzw7zhbaAoL96Km4jIz1i04gIiv+WSUPnv3BkdBc7EKSwDU97Hveuv4HbsIUv+LJAqepXQ3bkRWrS3LtVkZMKy28/j0n0e8CISZ4544enD72E8AnTDJrZhVPziECpRHzv5GDIyc1HdoDJ2bBwAFQHkw6RlZKPv7CP4nJzBGJR3z+v9x88yaX9OyYCJDJiI4/7+5ZzUp4Y8IVXUfv+hs/G2F/Z6PWPnE3ncgIa2GNesISooiSdh9E/Gow9XN+8ARilPfTKIvXVBn1boXL/WL08LCgpipcW6upzqF3LXd+zYEW3btsWoUaOgpCQYsqpXITGYufkSElIy2DzkPh7s1EDs1RzkIdm49QbIk0MAk/gjnPs0KhXVNhlp2XA/74MLJ5/gczynvQGJuaUet4+NtFQNifoDgzxOO9a6s5JkEkqMHTDSEV36NATl24hanviEYc5CN1aqbtfQGMsX/rdKihed7vkEY9YWDknjjEEt0LOVzW+HkQETXixcis+R9g2XxK2hbpmrb9zHo7AoGFWuhPrV9eDS0BYKcv/tORMU9xlddx2DnVE1zG3nCBMt3pphCdsOWbl5WHnGA5eecsoNdStVwMZhnVFTr/jJpNS9uFu3bux8bW1tzJw5E6NHj4aysjLP6t/wfoPl+2+yPjeK8uWweHR7xkApTiFm2e277+Cyux9To6K6MhbMdgJ5SyRdqIz37DFvXHB98kMCZ6OmZgyQWNpwGkDKhD8L5Od9waUzT3Fs912unakCicI7xIkiajlz/hl27PFg0/br1ZCR+glCZm+9jLvPglkJsevqwdD+Tc8eaX9OyTwmP11N0r7hgrh5BDnGg+AIrLh+DzW0NLCkUys8DIvEjnuPsbRzKwZQfiWBH+NArK2S+oEfEZeI6YeuIjjmM1PfztwAq13aQ12lZB6P0NBQxn9y4sQJfPmWR6OlpYUZM2ZgzJgxUFEpfv8Xervbe9Ybhy494QAdjfJYP6ULahgUHygJct8LxqJ4/eIVF/AuJI79qbaVPhbM7izxoRvqNXPx1BOcPvKQSyZGFRtU7tpjoL3Elu0KYw9FOSYRuh3cdhu3rnBALEnT1hYYMbmtSHlQyBtKPCfuN14yHYi+vl1rK75NkZCcgT6zDiMtMwetGtbAivG/TpCW9ueUDJj8Bphc9HoMJ4eis6P5vhL/8gEIZKRm5zAPCMmN18FYeOkWtvd1+i0wkWST3fANwuKTt5CZk8fYUke1bYSRbRvyxZ8SEhLCclCOHTvGBSiamprMgzJt2rQiARp1NKUk13s+HG4XS5MqWDvJCRrqxQc2wrA5lWGuWn8VGd9KRfv1bohhg5oWq1xSGPoUZ0zKIbl+4QX+3e/JWE9J5OTLoXOv+qx6RFy5D8XRXZqOCfSLYk0JC/hQqGcQVTm16lhbZMukTtbT5rji5av3rIx405q+sKzFf8WY220/rDvC8cbsnt8btmb/HVMGTES2zZIxUcGGG01ZCCe7BpjZpukfcx4kQ+vSrcWXr1+RnpOLxVfu4PabEDSrYYj6BnqwqqqDOtXEyzZaXMvm5udjw4UHcH3wLRyhooSVLu1hby64cAR5UFauXIkjR44wgNKzZ0+cOXPmjyoSidP0TRe5HYHbO9TEnKGtxUqYRiWz+w55cru5qqoqYO6MTrBvWDJa7uLujSCOI56JezcCWCgh5gOnbxAxl7Z1skX/4c1E+rYuiPVIwxi0J+5nfRifS3paNltS6042GDerA5SUhV/VRvMlJ2di1MQjrIyYQpC7tw6CthZ/7LCUj+Yy/xhC3yewSrnDS5z/kwgrAybScAWXYA2FgYlcBXUoyZXDpBYOGNTItsg30xJMIzv0JwskpGfCJ+oD2tbi5Duc8w1k3pNZbZuyvBNJFioFnrj/El5FctgsbQyrYO3gjtBWF07lQFhYGAMoEydOhLW1Ndc0FPJxcnJiCbQkb8LjMGX9eSSlZjLvzdjejTGwY32xXsdpadmsSRq9ZZJQs73F87oIrOxSGNdJgG8ktq26wk2+pDkc21pi4Kjm0DMoPo24MHSTjQkkfErFmvnnuGXZtCdLNvUT2d6EhX/CuKnHGd+OsZEWq9RR5LOfFLWFGL/ajW0vNc10cvwxTCQDJn/ZlV+w4Vsv3cCxwBAWZiChB+aKLm2gqiD/l1lEPMsloDL34k3YG1XDILs64lGiGLMmpGVi+PYzCItNZEcPdKyDSU6NIfeNZr4YQwjkEC8vLzRp0oQ1CqTwjlPP/pi2+RqS07KgpCCHpWM7oGmdXzONCkSBYgySmZmDaXNP4c1bDj9F1062GDuyBWsxL4lCVVEUsjm+9x6XZ6ZB4xoYPLYFo4uXieRYgLwnrgc5e0X5VJU0VLF69yAYGIkmh4qYianxHzW8pJDkqKH8J8NSOb/ni1BUqVwBZzcM/SEcLAMmknPtiUSTwhuuXLESFl2+g1tvObF56kq7rY8TDCtXFIkuf+Mk5MYsoGR22nkMo5s2QAdLM4k0RWJ6JkZsd0NITALK/PMPlg9oi471aopF1+3bt2Pq1KmgXjwkcooq0DJrAiObFti72AXm1bXFolfBpETnPWvBGfgHRLM/TZ3QFk4df18OKVZlAaSmZGLdgnNcDg2qAJk0r7NYCb7EbZPSMD/14qGGhpScrFZRBWt2DQKxx4pCdu71wOlzz1h5+5G9w6BXlT9P77vIeAycf5ypTjlhzep9D3XKgIkodlSC5vh5wyn7ep/XM2z28MbX//2PeUzWdmuHFubiffuUIJMJTBXK08j/+j9k5uZiyVUPEK/Jqq5tQT1vJE0IlIzacRbvPn5moGTFgHboUM9crGpGRUVh6bIVOHTwAL5+5bDhVqighunTp7Gwj5qaeLq35ubms7fJp98YUMePbomeXeuJ1VZ/mjzkbQyWznBF3MdkdhiRek2c2xmUYCkTybcAJcbOn3iclRVXUFPG6l0uIvFwEWPxgKF7kZiUgWaNzbBkfle+jTV6+Sn4Bn1AnZp62DW3N3c8GTDh27Sla4DfbfjD0EhMdXNnD0uS/vVrY3ILe4kk9pJEi5N7lRrsNTb5fTJoREISVl2/D7/3MWhXy5TxlPyKy0Tc6/uUko6RO8+y8A3lbix3bodO9cXjKSlsi+zcPExaew5PXrxCbOBdJIY/5XpQOnfujEuXLoncdOQBW7LiIh54v2NzDx/cFAP62olcj+JOeOPiC2xbfRV5ufmsV9Do6e1AfW0ktTS9uOv62457ExCNeeOPIyM9G6oVlLB6pwtMawo/kf7KNT+s33KDmZtyTfjtREycJsRtQkJU9dRck0QGTP6yK/pPG/4+KQUTT13B61gOA6GGijJmtmkCJ+uasg+u31wnBEgoFLb93iMExydgZ1+nP3qb7rwNhY1eFWio8k4iJsxLNjYpDSN2uCHqUzLzlCxzbisRoIQAwJytl1lMmmTWkFZoUKMS1qxZg3379uH69etwdPwe987KyhIYk+zv7E1xfyoHvn2XQzJHgISAiSRKbk4eYxelUmCSytoVsGBNH5hb8V/+KYnr/Rt0evf6A+aMO8Z4ZlRUFbFy+0Ch7yfdh8PGHGQtFSxrVcW2Dc58PRuoYrHHtIOI+ZyKzk0tMH9EWxkw+Rsu3p/XWBQSzcnLx76Hz7D3wTNu8zgqbV3UsYXEspCKYx8pBOYRFIZtdx/hbdwnrgp96lphSedW4lCJ7znfJ6SwnJKPiakoV6YMVg9qj9Y2gml/zo9yZOtVB2/h4r1XbJgR3e0wvNt3r0R8fDyImK1AqDePg4MDxo8fjylTprCEWUEL6bRh6w1cuUYdlIEeXeqCQjiS6HmI/ZiE5TNPg7oAkxCT6JyVPaFeUbw8L4Lek79xvNCgGMwec5TlDKmWV8TmwyOgX124lVTej0NYJ2KSZQu6oYkDf58Rx6/6YJurJ+TlyuLS5hGoWEFZ5jH52y7mooBJgT0iE5KxzN0DXqGR7E/0oBpiVwdjmjWCspgboYlzz+iBdD84HFvvPsLrmO9NzBpW18eE5o1Qz6B0voFGxicxT0lccjqruFk/tCMcLSUjz2j3mYdcRtceLWuzPht/AgAuLi6MrI2ESosp/4QAioaGYOj96RrYsdcDbud92Bwd2lpj+qR2Etlg8Zl3MNbMP4u0lCyma58hTTBoTItS0Z9HnPd5aZrcDnOoAAAgAElEQVQ7PDgO00ceYp4Taqa45fBwlhgrLKHrf/LMkyzRW79qJRzaM5SFBXmV1IxsOE3ah6ycPIzqYY+hXRvJgAmvxiyt5xUXmND66AK8+SYEK6/dQ1wap3Osrlp5lhvR0txYIt8OhbUvZAuvkEhsu/cILz9w+DxI6lWrignN7dDQUF9YUwt93NDYBIzc4YbPqZmsEd+mYU5wqFld6PMWZwLXGy+w6fg9dmiL+qZYPr5jkSyzMTExWLt2LetinJ3NyZlSVVVlAIUqe/gFKAeOeOLYyUds3JaONRl5mqQ1sKPr9fzJx9i36QYrLyVX//Ql3WDvKN4E5uLsueyYkluAGgHOGXsUFF60tDXAqp0uQi1TfxP0EWMmccD/5HGt0bUzf5QHaw/fwdk7/qisroILm4YjLjYG+vr6iI6Ohp5e6XzZ+9Muyijpf7JOSYBJwanUhG7n/cc48tgX+V+/sj93sa6JhR1bQOUv4D2hpNUV1+7hQUgE15q2+lUwsbk9Ghnql2qAFpechj7rTiApPQtK8nLYNrIL6ptKBsjy8g3DtI0XOACwlj42Te8G+V80PvzdB0BsbCzWrVuHXbt2gXJOCgAK5aWMHTu25J/+AC5d9cPGbZzkPwc7UyyZ14Wvt0WelCjGSUd3e+DEvvvsyOrGWli4oS+q6gvGY1SM6WWHiMECNy75YuMSzv1CCc1EYS9MWbLqIu7efwt1NWW4HhnNF+laZEwies88zNQlTiILfVUZMBHm5kna2LwAk4I1vIv7jKVXPRiDKYmuWgWWe0IU69Ioadk52OX5BMce+yLvGyCrXVUH45vbobGxQakGJLRflHg2csdZ+IS8h7KCHHaO7gZbo6oSsZXpWTnoO+sIPiWlw8xAC7vm9YYKj+WscXFxWL9+PXbu3InMzEycPn0avXr1KvE6iZZ70Mj9IM6SuvRWuqSnUN9KS6zgtxPu33yFlXM4VP71HUxZPgl5TGQi/RbYv+Umzhx9yD6bth4dgRq1hHc/f/iYhAHD9jLStXkzO6F1Cwu+DExMsMQI61jPBBN61JEBE76sWcpO5geY0FLJLbz9/iPs8XyKL3RFUozd0gxz2zVDZVXhxTVFaWZ6YBNlPHG7JGRksqk1VZUxrVUTdKktPRVKB249xdYrD9n6Vg1sL3aeksJ7vO7IHbjd9mdkdMdWDIRRVf7f9ilJ9vDhw5g+fTrKlCnDpvvw4QO2bt3K2GQLJ9D+fL1RaGT2Qjc8eRaG8qqKOLJvOCoJMY7P6/VOyZBThhxATk4ezC31sG7vYMgryPE6nOy8UmYB4tQZ1XsHPkYnoqaVHjYeHMa91oWxlBlzT+HZiwjUsTHAxtV9+ZrizC0/rD/qAWVFORyY2xnGRoayUA5fFi1FJ/MLTAqW+jb2ExZcuoWAj5x27hUUFVhDwB62FqXak+AT+R4rr93nlkxTIuhguzoY1aSBVNH1U9+bQZtPsdAccZQQgZqkSEDwR4xY5srexIZ1bYSRPeyFptqECRNArLLKysoYM2YMZsyYAW3t/zJp3vIIxIq1V5gegmoBL+hFJSemY8LAvYiPTUGlyuWx/fhIaGhKHnmfoNctG+9HCzx58A4LJ59gf5y+uBtadxYeA/Gde6+xbPVlxnd08vBo6GjzTnJIJcNdp+xnes9zsUOXNvYyYPK3XNyCAiZkL/IsnHjqj80eD5GZy6EKp9LipZ1blTpa+w/JqVh/6wGuBXKIskham5swHhf9SupSdXmkZeWg3/oTiP6cAj0NNZya6QxVRdF0Ky3KkHn5XzBowXHWedSgSkUcWz5QqJ2Cly5dyvJQ0tM5yd1KSkoYPXo0Zs6cCR0dHfY36rDqMnI/UlOzUK9Odaxb0VviwHdeXj4rG33lGwk5+XJYv3eI0DktitpL2f/FZ4EFk07gqdc7VNRQxYFzE4QWysvJzUeP/tuRnp6DIQMbY5CzA1+Ldp57FCHRn9Gqji5WTu0nAyZ8WbMUnSxIYFKw7JiUNJZ7cvddGPuTfNmyGNO0IYY51IM8H2VkojBr2KdEuPq8xKnnL5GTz6E5N9XSwLx2jmhkVE0UKoh0DgpJTD90Bbf9Q1gJ+KFJvWFdXXIath2+9AS7znDCS7vn9YatufAz8hMSErBp0yYW0klLS2NzKyoqYtSoUZg1axYOHPVhJGqKCnKsNLKKjuQB1a0rL+PqWU75MlXftO4kvLdkkV6wssl4ssCHqAQW0snL+4IeA+wxcgqHuEwYsmn7TVy84osqOmo4cXAUX2Xzu8544fClp1CTz8etg7NkwEQYGyaJYwoDmNA66YF343UwVly7i0/pnLwMKi3uVccK3W0toF1BVWLMkZv/BbffhjBA8jSC056eRF1JEZNa2DOdCxrtSYzSAlLkxH1frD3HKb+d1rUpXJrXFdDI/A8TFZsEemPKzfuCLo5WmDusNf+DlmCExMRELkBJTU1lZ86YtRRP/Tg9ZMaNbIFe3euXYETRHHrF7Rm2reKEmbo722HUVMkJy4nGArJZfmWBg9tu4dRhL1bKvvvUWFCjRmHI26AYjJ50lA29aU0/2Nbm/YUuIOQjhi9xRW5GMvzOL5MBE2FsmCSOKSxgUrDW1KxsbLjthVPPA7jLL/vPP3CsYYTeda1YL5my3xIPRW0fotw//TwAZ30DuUmtpIOmqgp61bGES6M6UFeW3uqFlxExGLL1NIhWurmVMTYN6ywxIQkCtuNWueH5m2hUUlPGqTWDUUFFPHuRlJSEzZs3w83tLMxrj0BCYjZqmlXBysVOyMzMQNWqwqt0KOk9EfAiArNGH2H8FXUaGmP5VmeUlXAvZUnXKDueNwtkZeZgWPdtSPiUhrqNjLFi+0Ch3O907w4ZfRARkZ/RtpUl5kzvyJvC34orOkzYg7iYjzJgwrMVS+GJwgYmBSah5NhTPi9x6eVbZOTmci1FXpSedSwxsKEtyosor+FRWBQOP3oBz+BwcOqIOGJvVA196lmjhZkRYzuVZknJyEafdccRk5SGqhoV4DrdGRUkCIRd8QzEsn0cfpAV4zuiVUMzsW/Hpu03cPGKH3vj3Ld9MI4d3YmVK1di+PDhmDNnjtiJn+Jiklmya0pSBmP8pPJQ6jYrE5kFCizgce0lY/4lWbS+L+ybC6cZ56mzT7Fr310W7jx3chyUlXnPWaPPgXPXHsqAyd90GYsKmBTYlJJir70KYp4K/0KMqQRQVnZtywjKhCHpOblwfxWEsy9e/TCvmpIiuttYMO+NYeWKwphaIsdcecYDp7z8GQA7Mrk3LKpxEjslQfLzv6Dz5H1ITMmEg40hNkztKpQ3u5KstTBHg0t/ewxytoepqSnCw8PZMPLy8hg2bBgDKMRQKQ4pSHBUUpbHliMjYGD0vV+QOPSRzSl5FiBvxrThBxHoFwUDYy3sOTVWKPdWYlIGejrvYHQSxITcpiXvnCb3fIIxZeUxGTCRvMtJeBqJGpgUXgl5UQignHkewCUsszPUZ914W5gZo6o6f6WNdBP6Rn+E24tAXAsMQlZePnd6c21NDLGvg7a1akCxBOyhwtsJ0Y1M3pI2i/YhOy8fY9o1wuj23xvgiU6L389UmOH19NrBMKgi+KZ7JV3nwaMPcPRfb6ipKeH0sbGsMiglJQXbtm3Dxo0bQeEeEjk5OS5AqVaN99h6SfWLCv+EET23s9OmLuqKtk62JR1CdvxfYgG/Z+GYNZrDqrrbdSwMTf9bDi8IU0yYdgIBge/h1NEGUyfwnmxLlT7vgsNgbWkmyzERxMaUhjHECUwK7PMmJh4zz19HcHzCDyYj8EBhFQIqFlW0io3sE9IzccH/NcsdCfucyB2Tqk6a1zBioSNx5raI+7ooIFKjPjg3Fo9ARVUlcav0w/xztl6Gx7NgWJlUwf5F/cSuG7319Ru8G8T02qNrXUwY/WO3aEqMLQAolDBbAFDOnz+Pjh15j6+XZOFbVl6G+1kfaGiWx5HLkyH3l4Htktjqbz+W8o8GdNiIxM9p6DesKQaPbSkUk+zefxeubk9hYqyF/TuG8DWHJDyn+FpAESfLeuX8ZCBJ2fDc/HxcDwzGnaBQ1oOmgAelQF3t8qoMpNQ1qAqqoqE8FerZQ18UpqHf6XtqVg783sdwe/jQ+YYaFRkYIZZWaWGj5fUmyfvyBR2WHER8Sjp62FthYZ8fH7K8jiuo86izaIfxe0D8JbMGt0T3lrUFNTTP47zwi8TU2a7sfMotMTX59RsmlRYTOduGDRvw5csXREREQE2Nd4Kp4iqcmpzJHjTE7jp4XEv0G9q0uKfKjvtLLbBj7VVcOvWUeUvIayIM8fQKwsLlF1i58NVzk6GkyKlm40Uk5TnFi+7FOUcGTCQUmBRWi0DKk/D38AgKhUdQGLeTcXE2uOAYJblyaGdRg1XX2OrrFtvbUpI5SuOx156/xeyj15jq5+a4wFiHf2p3Qdrh3B1/rDl8B3LlyuLqtpFQkwBvzqr1V3Hj9isYG2pi/84hRV5LBFBevnwJB4fv5FJ79+7FkydPMG/ePBgZGQnSZHA96IlDO+5AQUEOx92nooK6LOFVoAaWwsF8vEMwbwKnGzBdM5p8MLT+zjyfE9LQ03kn+/fmtf1gY817aFMGTKTwIvzTkiR9wylPJDAmngNS3oYhPCERSnJyrIuxqoI8VOTlf/pZDiaaGmhvUUNi2Esl5ZIiWzpvPInAqDjYmxtg15jukqIaV4+hi/9FYGgsWjaogZUThNsNtTiLz8zMQfd+O5Cdk8czb0lOTg5MTExA91rZsmUxcOBABlDob/xKft4XuHTexEpAO/Soh0lzO/M7pOz8v8ACuTl56Nl8DfOyTZrXGR261xPKqvu47GIh0BFDmsG5TyOe55D05xTPC/t2osxjUgo8Jvxusuz8X1vAN+wDBm85zf5JnYMdalaXKFNFfExEn1mcpLyN07rCwUawngVeFnvt5kus2XiNuaPdTozjqVFfdnY2C/EQ1T01DiQhgDJgwAAGUKi6h1cpXP65z2280EizeNVPdp7kWoD651AfHbtm5li8UTi5XEtWXsRdz7dwsDPFikW8vwjJgInkXkdC0UzaN1woRiulg047eJlRzxvpVMK52S5FhiREvcwdpx7g6JVn0FBTwaUtIySCbXfSjH/hHxAN+4YmWLmkB18myczMxO7du7F27VrExXGaXVJXY2dnZ8aHoqdXMrp98oBNdNmLd68/op69CVZsG8iXftJ48pf8L/DzeofY6ARkpmUjKyOHfc/MyP7hd/IgmFjqw66tFWyamEFRifd8iNJix8tnnmL76qtsrWc8ZkFevpzAVS/gM9GsXB5njvOeyyLtzymZx0TmMRH4zVcaBvyQkIJOyw7h6//+xxJeKfFVkoQaQHaZvA+fkjLg3KEuJvZrJnb1PsYko/+QPUyPpfO7omljwZC8EUChnJM1a9YgNjYWCgoKCAsLg66ubonWTFwUU4cdYOes3D4Qde34Dw2VSAEJP/ihuz92LjiDxDhOO4HiioKiHJp0tsW4Fb2gyAcxWHHnE9dxRMjn0mkT5/rZ4cLYYAUtvv6RmDKLkzh+3nU8Kqqr8DSFDJjwZLbSe5K0b3jp3RnBan7ayx8rznigvJICbi8dCUUhvB3xo3Fo9Gf0n8vpr3Fs+QDUMBA/OdiVa/5Yv+U6lJXlccF1gsDfKLOysrBv3z7Gh7JgwQKu+R49eoSKFSvC3Nz8jyY9sPUWTh/xgp6BBvafnSBxHjB+rgd+z331NBRz+mwH5eCQaGirQbmCIpRVFKFcXhFKKgrfvitCWZXDSur7IAjv/KO4U9eqZ4glR0ZBVYrZc4d134r3kQlwGd0cziMc+TX7f85PSc1Cl95b2d+3ru8Pa0veyAel/Tkl85j8dOlI+4YL/E4rpQOuO38fx++9gK2RLg5P6iNxqyggVfvnH+DBwUmsKkfcsv+wJ467PkINUx3s3TZIJOp8/foV1tbWeP36Nfr27csAS82av6YNXzrDFQ893qBFe2vMWs5fmEkkixPRJHHRCZjYcT1SEzOgU00Diw+NhIFZ8TpmJ8Sm4OoxL5zcwmmHYGyph+UnxkBdo7yItBftNHPHH8PzRyHo3Ks+xs8WfLI5cQC17LgW//sfsHJxD9g34s2rJ+3PKRkwkQET0d75EjLbhL0X4BkYji4NLbC0fxsJ0eq7Gm63/bDuiAc0K6rgytZREqHfynVXcPNOIJrY18Cyhd1EohOFdJo2bYoPHz6w+f755x/07t2bARQLix9pvUf32YnwkDgMHOWIASObi0Q/SZ8kMz0b07psQkRQDJRUFbDp4tRig5LCa7ty9AF2znNjXdL1TbWx6uR4aOgIn5NG1PZdv+g8bl3xg0OLmli4rq9Qpu/ccwvS0rMxd3pHtGllydMcMmDCk9lEf9K7d+8wceJEPHjwACoqKujXrx9Wr14NJaWSsXhK+4aLfmckc8auK48gPC4REzo6YHibBhKn5HZXTxy76iMxbK9koILE157d6mH8KOGwY/5qI6iK5+DBg1i1ahUrMS4AKD179mQAxcrKij0wuzisYOWes5b1QIsO1hK3p6JWiBhNlw3fjye3XjFAt/jwSDTgo0eLx9ln2DD1BL5++QodAw0GTsgDI01SEA6sVVsfmw4OF8rSiDU5JjYFE0a3RI+uvJUlS/tzSio8JsnJybC0tISBgQH7oKISxKlTp6Jdu3Y4fvx4iS4uad/wEhlDSg+mxNKG07eDWF/XDe6INrY1JG6l87Zfxe0nQWjdyAzLx4mGxr0oI/QdtBuxcSk885cUNX5R/yf+k0OHDrGKnejoaHY4lRlHRUVBvpwqnNtvYH+jhn3mliWr6Clq7tL4/wMrLsJt1x2m+vAFXdFjVAu+l/Hwmj9Wjz3MclXIY7LhwhRo64m/dxPfC/s2wLl/H2HPhuuoUrUiDl+aLKhhfxhnxLjDCA6Nw5CBjTHI+TvpYEkmk/bnlFQAE8rmX7p0KSIjI1G5cmW2v//++y8rO6TY9O9i0r+6EKR9w0ty8UvrsVSR02HpQbY81xnOqKkn/sTSn209bMlJvAqJgUun+hjXp4nYt4Levts4EbX8V4FW5PCysNzcXBw+fJgBFHt7e3avv3wegRkjD+Hr13ycvTcPFaQ4QbM4Nrt15gk2TjnBDm3dpyGmrO8vsGTg5/feME9MTnYeWvaoj+lbpKcs+96NAKya6waqRLroNU9gNiu8Z1NmnYSvfxR6dauHcTx6HqX9OSUVwKRZs2ZQV1fHxYsXuftPb1fUl2PFihWYNm1ace5ldoy0b3ixDSHFBz4OisSonefYCr3XjIMKHz0rhGWmjhP24HNyBmYOaokercTfHyf+Uyp6D9zFlrt7qwvMaxQveVJY9qFxCaAQ3b2GhgauX3iOjUsvwjfsOBo3r42FCxfC1vbv7Cgc+CwMs/tsQ37uF1g0MMLKk+MgryAn0K24sP8e9iw+hzJly+Dgw4VS4zXx9wnHzFEcUsPznnOhrMKpUBKkLFh6Hg+836F9GyvMmtqBp6Gl/TklFcBES0sLQ4cOZTklhYWS4+zs7LB///5ib760b3ixDSHFBxaUCmuUV4bHcslILC1s7ty8fDQZyikplBTG11ev32P8VM4bOJUKq0tY/xnKDdi9/QR8go9wTenk5MQASt26daX4av5xaVSBM6nTBqQkpENbvxI2X5kmlAqa7MwcDGq4GKlJGeg8uCnGLu8pFTaOCv+EET23s7UcPD8RVYWQQ7Nmozuu3QzgK4lc2p9TUgFM5OTksGzZMsyePfuHm6Nx48Yg0HLuHOft+FdCLdrpq0BiYmLQoEEDFsMuKfOkVNyZf8Ei1p+/j2MSXCr8Pi4ZPaZzQk3/rnSBsT4nPClOuXPvNZatvsy4S25cnCoUFzc/61s28xQ8bwdAvWoSXry+zgjaCqRTp05YtGgR6tXjLdGQH71Efe7sPtvh//Ad4yXZeHEKqpuXjKSuJPr+u/k6jq13Z96YM4GrIa8oWK9MSXQR1LHpaVno4ch5wV2/bwis6gi+TcWOPXdw5rwPa+JHzfx4ERkw4cVqIj6HgMny5csxa9asH2ambqY6Ojo4e/bsbzVavHgxlixZ8p//y4CJiDdRhNMVcJjUMa6KQxN7i3Dm4k0VHZeEntMPsYNPrnKBkZ4EAJO7r7FszWUoKJTD9QuSB0wKOExadrDGlIVOOHHiBPtMCA0N5Rq9Y8eOOHPmTIkr9Yq3a5JxVAEwUamghK1Xp0PXUFNoip3efguHCKxKETDJSMtGd8dVQgUmO/d64PS5Z6htpY8t6/rztD8yYMKT2UR7Ej+hHJnHRLR7JQmznfT0w+qzd6GppsJYXyVNcnLz0XQYJ5SzeUY32Fkbil3Fl6/eY+J0Tijn4umJUKtQsjJ8YS9g3+YbcDvmjZrW+th8iFPmmZ+fzxJjyZsaEhKC1q1b4+bNm8JWRazjx0R+xsQO65GekonqZlWw8dJU5j0RtOTl5mOI3RIkxKWgwwAHTFgteSSFvKz5feRnDOu+jZ1K7MH61QX/UrB2ozvcbwbw1chPBkx42V0RnyNLfhWxwUv5dF6vwzFuzwW2iifrJkgcHT3p1W7cbiSlZmLO0Fbo2lz8nBxUJkzlwiT7dgyGqbG2RF0FV9yeYduqK1CvpIJTt2b+oBsBlJMnTzJK+/r163P/R1U9zZs3Z3lo0iQ+d19jocsexu3StLMtZu8cLPDQ2223p9gwmUPFsO/+POhJ2PXA634G+EZi+nBOGPXsvdlQLS94AL5w+Xl4er1D21aWmDOdNyoAGTDhdYdFeB6VC9NbEZULU4Y+iaurKyNZk5ULi3AjSslUEfFJ6LKCk3l/bo4LjHUkjyRq8MITeBMehyFdGmJ0T964DgS5Hfn5X9C683q+qbQFqVPhsZ4/DsXccZzeQhcezIVSEc3mXr58idq1OdVObdq0YTkoVHosLXJq+00cXn2FLWfYvC7oOUZwhHgfIz5hZs+tILr6Bq0ssOSw5CWQ87qPD24HYvms05CTK4vLjxYIHNCRXlNnu+KFXyR6dKmLCWNa8aSqDJjwZDbRnlRAsFa9evUfCNbatm0rI1gT7VaUitly8/PRYPo29pDdMsIJjpaC7yLKryFmbbmEez4h6NC4FhaNasfvcAI5v6fzDnxOSMfkca3RtXMdgYwpqEE+RidiSNctbLhdrmNgZKrzx6GJIXrkyJF4+/Yt97hWrVoxgEJJ86VdyFuyYuRBECFamTL/YPmJsbBtwn836I/hnzCzFweUENfHunOTYGpdrbSbi6v/pdNPsGONOzS11XDcfapQ1jVqwhEEBcfCpb89hrrwxlEkAyZC2RrBD0qU9BMmTICXlxeUlZWZt4Q8KTJKesHbWhpGbLd4P2KS0jCjWzMMcJSshyzZd+Pxuzh1wxd1a+pj59xeEmHyMZOP4s3bGPTv3QgjhzaTCJ0KlCAm0s4OyxldOvU4oV4nRcmXL19YMix5W8mzWiAtW7ZkAKVJE94eGkXNK6r/U5+cyZ03IDo4DhUqqmCr+3Ro6/PuHfwQFo9ZvbdxQcniI6Ng4yB5rMn82PfILg/8u/8+atTSxbZjwvEEDRi2F+8/JGHsiObo3YO3dhgyYMLPLpfCc6V9w0vhlghF5eHb3fAsOBp9m9hgTk/Ja/h2wt0HW096Qk9LDWc3DBOKDUo66KLlF3DfKwitmtfC/FmdS3q60I8f7LQZMR+SMHxSG/RyKX74izoYu7m5MfbowMBApieRsz1//lwornyhG6LQBO9D4xivSWZaNusMvOH8ZCgoyZdYhfdh8ZjdaxtLdiVPyZIjo1BbykAJGWXLiktwP/ccDRrXwLItziW2U3FO6NpnG5JTMjFjcjt0bMcbeaK0P6ekgsekOBdDcY+R9g0vrh2k/bglrrdw7tErNKlliO2jukrccu88eYe5269AXq4s7u+fyNzx4pYC/gV+yhyFuYY5Y4/ixZNQdOpZHxPmlLxlPQEU4jwigEJelC5dunDVDQ4OhqmpqTDVF9rYj28GYMnQfWx8R8prWNMHyqqKxZqPWhC89A7G+snHkBiXykDN0iOjYG1fOm1R1KIXTz2JR/ffom0XW0xdKPjPBQqxUWuHvLwvWDK/K5o15i28Ju3PKRkw+elKlfYNL+rG/Fv+f/D2M2y57AUtNVVcXzwMZcuUkailU58c6pdDcm7DUFTVUhe7fmfOP8OOPR6oVFEFbifGSQRYKmwUqsqh6pyaVnrYfHgEz/YigELdeOmLhJLqTUxMWHIs8R45OjqWOk/K0XVXcXLLDbYe5fKKqG1fA6rqSlApT1+KIN4T+jv7/VspOHUl9rzii6R4DgElAyVHR8HaTjpBCa1xXP/dCAmKQZ8hTTB0PG+JqX+68DKzctGh2yZ2yPqVfVCPRwI3aX9OyYCJDJjw/AFemk98+z4efdZxeDl2ju4Gh5qCZ3jkxz7EZUIlw5nZuZjUvxn6txc/rfq74FiMnMChfN+xcQAsalXlZ4kCP9f77hssme7Kxt3nNh7VBEQuRgSMBEgKhHJPKAelRYsWpQagENjavfAc3I974Uv+1xLbnjhRxq3qDcsGkpcoXuLF/OYEYn3t1WINvn79H+av7YMmLWsJamjuOG+DYjB6Eqd6zPXIaOhoq/E0hwyY8GS20nuStG946d0ZwWvef/2/CIyOQ6vaJtgwVPJyJhbtvobrD9/AwlgHBxfzxhApSKuRG9p56F58jElGz271MJ7HzqiC1KnwWJQAO7DjRiQmpKO7sx1GTRVMNRM91C9dusRCPL6+vtwpiVmaAApV8xR4V4S1NkGNS9U0N08/BlXXZKRmIzMtCxn0RT+nZ7OfqfkfiW51TTTrUodxoQiT2l5Qa+N3HArhUCiH9vL07ZmoIIR+UNduvsSajdegrCyPq2cn83zdSPtzSuYx+elqlvYN5/fmlabz3bxfYtmpOyhXpgxuLhkOjQoqErU8zxehmLGJ0zH7wqbhqB8bt3QAACAASURBVFK5gtj123vwPv49/Rialcvj1NExEhfOObj9Nk4deoAKaso4cX0a6+0jKCFgdvnyZdbC4sWLF9xhqQKQGGalRXKz85CdlYvy6so8PzhLoy12rXPHBdcnMDGrgh3/jhbKErbvuQO38z6wqKmLHZsG8jyHtD+nZMCkFAOT90kpCP2UCGV5OZRXVICqgjz3u6TlTPB8BwrxxPTsHLRcsBfZufmY7NQYQ1p+ZwUV4rTFHprCOe3H70ZGVi4m9msK5w7ib0IXHBKHEeM55HTbNzrDspZesdcjigML85nMWdULjm0sBT4tAZSrV6+y8A5V7lD38mHDJKNySuCL/YsGHNV7ByJC49FjgD1GTmkrlJVPmvEv/AOi0bWTLSaPb8PzHDJgwrPpSueJkr7hcanpuB74Du6vguD/Ifa3RiawwoCKggLMdTTh3KA2bPV1/6o3oOJcgYv+vYkLTwJRTVMdl+YJnrq7ODr86ZjFu6/hGoVzjHRwcIlkhHMGDNuHDx+T0KNrXUwYLfgEQX5tNmvMEfg9DYNtQyOs3jmI3+F+ez4BlBs3boB4T6iRKElCQgJ69+6NadOmoX379rL7TWjWF+zASQnp6NtmHRt0+dYBqO8g+ARfyl3p1HMzMjNz+SoVJh0l/TnF7+7IPCalwGOSkJ6Jm2+CcfVVEJ5HfsD/eNx1iypacGlki/YWZpAvV5bHUaTrtJcRMRi4iZMweWBCL9QzkSwPwIMXoZj+LZxzfuMw6GryliwnyF3bf9gTx10foXJlVZw+Olbiwjn3br7Cqjln2JIPX5yEKnqVBLn8P441f/58rFixgh1Tr149loNCXY1LSw6KyAwlYRPduxGAVXPdULZsGdYjp6iWBryoH/0+EQOHc8q2+e03JQMmvOxAKT5HUjacaNMvBwThasBbPA6PxlfiT/8m5A1paWaM9pY14GBkgLwvX5CWk4u07Byk5+QgLTsXaTk5oFBFYmYW866EfErknq+pqoy+9WqjTz0rVFaVrLwKUV869Nbbc80xhMQkoENdc6xyaS9qFf44X24epzpHosI5oXEYMY4Tztm2wRlWFpIF5nJz8+HcbgNSUzLRd2gTDBknOq/OnTt3WFuMR48ecfe1bt26WLhwITp37iwDKBJ1d31XZtPSi7h+8QUsalfDxoPCCcvdufsay9ZcZn143M9NYd95FUl5TvGqf1HnyTwmP1lI3BtO7r57wWHY4uGNoLjPXO0UypWFYw0jtLeogWamhlCS57iOiyP08PUOi8LRx764HxzOPUWubFk0MTGAvZEB2lmY/rUg5cR9X6w9d495kW4uGYGKqoLvKFqcffrdMdzqHAkK59CbH9Fqd3eqi4ljRffgL64d92y8jnMnHqFS5fI4emUy5OQElwRblA50v92+fZvloHh7e3MPJzZZ6mjcrp1gqoWK0kP2/+JZgEjknNtvAIVzXEY3h/MIx+KdWMKjdu27i1Nnn6KGqQ72buMvxCju51QJl17iw2XAREKAyZevX3Et8B32PniGd/HfAQmBkE5WZmhuZsxyRviViIQkHH/ih3N+gcjMzeMOp1iuHHrXtcIwh3rQrqDK7zSl6vyUjGy0XrQXOXlf0MPOEgv7tpYo/QuHc3bP6w1bc/F7KA4efYCj/3pDSUkeJw6OZKRrkiRR4Z8woud2ptKAkY4YOEr0bQcIoJAHhap4qIcXyerVqzFr1ixJMtVfr8v9m6+w8lvob7frWBiaagvFJiPHH8a7kDh06WSLKXwkvialZuKW53P06dwU0dHR0NMT/+eBoA0mAyZiBia5+V9w0f819j/0QWRiMlebOvq6mNjcDo2MhNO5k8I+FCbyCo2Ed2gUMvM4IIW8KD1tLTCicX3oqou/PFXQF/zvxtt/8ym2XX3I/n1wQi/UlaBcE/KiDZx/DCHRn2Ftqou9C/qIPSSQnJyJ/kP3sES+bk51MGmsZIE52setKy/j6lkfljew5cgImNbUFdXl9MM8BFDu3r2LLVu24MSJE1BV5QD/rKwsXL9+nVHflykJ83BuLiDP/0uKWIwhYZMSR83YfrsRHhIn1GTp2LgU9B20mwNOl/ZEIz6I6q49fI25G1zhd36ZDJhI2PUkNHVE5SLLys3DmRcBOOj9HLGp6dz1NDY2wOimDVDPQHQoODkzG8ee+LKv1OwcDkApUwZdbWphZOP60K8kfjp0oW34t4Hz8r+g7/oTLNekulZFnJk1APLlROf+L2p9hb0mG6Z2RWNbo6JOEfr/j5x4iEPHvFCuXBkc3TcCulUk6zrJzMjBmH67EPshCQbGWth+bCTkFYofAhW2ATdv3owpU6bAysqK5aB07969aIDy5AnQtCnw4AHQgLfOtMJeV2ka/6HHGyydwUl+X79/KKxsDYSivtsFH2zffYcRq11wncAXv86K/Tfh5u4lAyZC2SkJHVQUwMQrJBKzz1/H54xMZgXqyNG6pglGNmkAS13huBGLY27yopx46ofDj14gOSubnVL2n3/Qydoco5o0gFFl0VU3FEdfQR/jH/4Rg7acAuUZj27XCGPa2wl6Cp7Ho7fuEUtdERASAxP9yji2fKDYq2Go74fzkD1ISs6U2I7DL59HYOaowyD79RrkgOETeeeO4HnzfnNi//79cfIkpx8SiaWlJQMoPXr0+D1AGT8e2LEDoO/btglapb9qPLomxjvvYb1xrOtWx7q9Q4S2/gL+kubNzLFozvfmkLxM2GPaAYSFR8qACS/GK63nCBOYUB7JjnuPscvzCSv5LXjoj3CoDxMtDYkxWUZOLlx9XjJvTsI38FTmn38w1L4uCy9JkidB0EZb6eaBUw/8Ua5sGZyZOQBGOpKzL75v32P0itNsyUvHtEdb+5qCXn6Jxzt/6QW27LzFztu3fTBMTcQHrH+n/O4N13D+38cs/LXhwFBWeSEp4unpyXJQPDw8uCpZWFiwyp6ePXuibNlClRtfvwK6ukBcHKCjA3z4AJQkBCQpi5YQPR57BmHRFA5j75pdg2DTQDheSAp7du+/nfXgWTjHCS2a8X7fxiWkwWnyPuRmJMuAiYRcRyJRQ1jA5HN6BqafvcZKf0lqaFXG5l4dYaQpuV6IgnAT5b/Ep2Uwvc20K2Nt9/bsuzQKlVh3XXkEn1IyYGuki4MTeovdM1HYzpPXncOjlxGoqqWGU2sGQ07MfDTUvn3QyP2sf079uoZYt6K3xF0WOdl5GNt/N95HfoaufiXsOjkGikqSlaNBybEEUKiap0BWrVqF2bNnf7cnVfg4OPz4u53kePUkbuP/oBB5SyYN2oegwA8MqBJgFRbXjPuNl1i76RorD6YwjoqKAs+movySxbuv42tOGnzOLJblmPBsyf+zdxVQVWVd+LPobgkpERMDA1FExe4YuztnzLEdO8Yeu2Nsxw7sDgQRJUQ6pFO6cf61zxVERyXee9zH+99e662HvnvPPWefc+/57o5vV7ATRQFMXoWEY/Z5R8SlcZt7/8b1sKRru1Kl/PKpxqzcPGy59wx/O3MFzChAdmZ7W4xu2QSSSH1/3z0Asw9fY2NdNrgD+rVswKf6v7q2b0gsRi49wf5v3igH9O/QkPe+3X/kjVXrOX1tWT8YTRqJxk8vyEB9PMMxa+xB9tbaa1BzTJvXXZDmRHYupRcTQHn65AmC16+HripHqEfWVly9iipXuNpJqFQJ6N2b+xQVAi4WwmctFdmAeWr4tVMAFk0/zq6+ZscINLWtKbKeLFx2Hk7OgbBpZob1qwYIdJ3VB27j2pN3sNCTw8lN06TARCBtVqCThQlM6CF48PkrbHvwghGkUUruH93bo1/jehVII1+66hT0AQsv3y4M1m1awwDr+3aGoTr/bKTCVuiMA1fwyCsIaopyuLp4DFQV5YR9iTK3t3jnddxz9oOWmiIubBoLOZ4DOmmdT/7tGEuFrF2rOvb8NUJkb59lVhqAI7vu4czhp6yJ9XtGobGITPeC9LHg3PC+fWF4+XJhUwRFVwNYAmAwgB+GZQ8bBpzggKtUvq8BspbMGXcY79w/wLKeAcvYEpW1JCMjG70H7QBZFufO6IIeXQV7keg35xAiYpPRz84MCyb1lQKT/5dFLixg4vYhAutuPYZnZAxTnammOrYN7FHhXSApmVlY5fgQ1zx92LhkqlTBkGYNWfaOppKCxCyTiIRk9F13jHGbECPs2hFdRPbwKq3SPkR9xOAFR5H/6V+M7dMCk/oXMe+XtjEhHe/qFoy5i7j4l/mzu6FrJ/GxMhUMkRhhfxu5H8H+MdDUVsa2I+OhI2aZRIXTER8PjBkDXL+OTwAoKsHv849kDyGAQpWTvgIoPXsChw8DWpLpZhXSUoXLMz8snXGSNbdi61DYtLEUVtP/aafAmkgGrgunpgvE9xMVn4I+sw6ya/wxphV6ONhIgYnIZk7MGhYUmFDg6MobD3DF433hyLrXt8SKnh2EQpAmLuqiQoLLrt9H8ufsHflqVTHSpgkm2zWvMC6q4nR56K4Ltl/nuE3m9bXHsLZNijul3H7fcPQ+Ltx3BwUl71syCFa1+OHoKDrgeUvOwcU1mJGuUS0QQ331ctNHSS8U6BeNmaMPICc7D0YmWth8cCxUxYwcrnAslB5GGThz5sAlNxcrqapxkYGS82FxpUoYXrUqqm7dCkydyrl4pPJDDaSnZmHioF2Ij0kRubWEOlGQjUPuTXJzCiKnb77GtlOPoSBXDQcX9kRNc1MpMBFEoRXpXEGASXD8R/x29hr84xLYkC20NTGvcxvY1TSpSCoocV/JekKpxUdfuhWyyBprqGF1r45oZlJ+PCwl7nApDyQXxYyDV/DkXTCqVK6EvVP7o7mFUSlbEc3hGVk5GLHkBMJjklhhv+NrhkNJvuxBdcLoZXxCKsZOOYKUlExGu71z8zCB+BqE0afvtUHZGCvmnsGn/E9sc/pz7yiRFG0TWv89PIBmzYCcHLhSRhYALqKHEzNDQxw9dQp2dnZCu6SkNrRt9VXcvPQaVatWwa6Tk2AiwiyywKBYjJt6hKly1dK+sGtVSyC1jltxGl4BUejcsjYm9rKCkZGRFJgIpNEKdHJZgcm99wGYf+k20nNy2Fvsb+1sMb5VU5Z2KunyMT0Te58647jz28Jig0OaWmFOR7sKbyVKzczG8C2nERL7kcWbnJozFAaa4hFT4x0UjfErz4BqfXRrXRfLJvFfg+WFcwAWLbvAlvwvfZti+iQHsVz+d6+9xabll1jfrG3MsXzrULEEUayDnp6AldVXenz9GaBcJdqBKlXg6+sLc3NzsdS1uHTKzTkQC6f+zbojypo4BePd9NctXL/pDl0dFZw8MkmgvaCoG2fjrN4w05GVAhNxWVjl0Y/SAhOKlqeCe/ufvWLdU5OXw5ZfusHWXPwyE0StP4/waCy+cqfQYqSvqsxcWBXdYhQck4hhm0+D3HSWBto4NnOQ2Lirjl51xp5/OHfT6mnd0dFGdP7ykq6f3fsf4NxF7n5Ys6wfWrUUzyyR88ef48C2O6yfzVvXwtKNg8QTnCxfDqxYwamfeEsoQ+fztxuAF127YrqjY+H0PH78GH5+fhg1ahRkpNT1TC/EAjx50G7ERCXB3FIP249NRFUBqvsWdy+kpGZiwPDdyM7Ow8Sx9hg60Ka4U376+4kbrthx5gkU5WVwa9dkxMZES4GJQBqtYCeXBpiQpWDOBUdWuZeEWFu3D+zxf1Vj5tvpzcnLw96nLqwYYR49QAH0aVgXCzrbQ01BfDJbSrssH3kGYsZBej+FWAXDEjCeuvYfvPWNgLKCLE6uHQldTeXSDk+ox1MGwq9zTsLHLwrKSnI4uHsMe2sURzm2+z5OHXoi3uCkXj3A25tTn60tVQIE5s0DXr7k/o9+9/Jif1LGia2tLV6+fAljY2MsWrQIo0eP/r8HKDvXX8e1f16xukk7jk+EuWV1kS7HM+edsffgIwZ0/zkxFaoqglUsH7PsJLyDYgoto6XZp0Q6UBE1Li3i941iSzrhXpExLJ4kMjmVtTCgSX3GTSJbjuXVRbQmhNKsb3QcFl25g3dRsaw9bSUF/NHdgVHvV1TZe+sl9tx0Yt2f3bsNRrW3FouhRMenYNji40jLyEaTOobYtWAA76RwRLg2YdoRpGfkoH5dA2zbMIT59cVNaCP/e88D8QUnAQEcLwlZSJYsAZYuBaiGU14esHIlsHo1oRHA3x+oWRNpaWkYM2YMzp8/X6jqGjVqYOHChez/ZWX5jUPiY/5dXwRg8a8cZ8nQ8fYYNaW9SLtBrtVhY/eDCvd169QA82Z3E+h6kbHJ6DvnEGtj85w+aN3IDCXdpwS6MI8nS4FJGYDJBTcvrLjxADn5+YxsbGm3dhhoLX7pkTyuK3bpvPxPOOr0GtsfOjFdkfRsUBvLezhAUVa8mDdLoisKhiXitYeegSyOaPfkvmhZWzxcdrdfvMcfe26yYUwfbIcR3ZuVZEgiPebREx8sX8sRgg0bZIMJY+xFer2yNk7g5NieBzgtjpaT6Ghg8mRg1izA/jv6e/wYoIycvXs5mvrP4unpiVWrVjGAQuMjoWBJAihjx479vwEoUeGJmD5iP9JSMmFqocusJdVE/PL43Mkfi1dcZDqn7DQLc8HKNPx93QW7zj5jFtGbuyYztmcpMCnr3V5Bz/vZhNPGtPHuUxxxotAzoLqKMv4a2ANWhl8eCBV02CLtNmUrLbl6B68/RLLrULbSlgHdYKFT8fgW0rNyWDBsUEwiVBXkcHLOEBhpiUdV3T92O+K2kw8Lsju8fCgsTXREOq8laXzrzju4cp1jDN6wegCaNxVNPZKS9OVnx3wPnCz5cyBk5cSnGnFZxvju3TsGUM6dO1cIUF69eoWmTZuWpbkKdU5WZg5mjT2EIL9oKCrJYceJiTAwEn3tqzkLz+D1m1A0qGeIHZuHCawzYnomxucebeph6YTOrD0pMBFYrRWrgR9NeEZOLqsIfOd9ABuQjakRC3LVUJQcUjFRzhSBOgoQ3v6QY8GtVrkyxrduxnhPKpr7izJ0CJxQxo6+hgqOzhgIXTV+4zpo7lLTszB88XFEJ6RCT1OZgRNNNUVRTmuxbWfn5GHqjL8RGBwHRQUZ/LVpGGqa8Q+Yvtfxb8GJRR19/LFpMHT0xCMLq1hl/+QAb29vBlDS09Nx9SoXK0USFRUFdXV1yMlV3Piv7w2bQAkV6Hv7KpgRIxKRWgs7wdJ1S6J/X/9oTPr1GDt02aJeaNem7AX7qI2g8HgMWchlEm37vS9aWplKgUlJJkLSjvkeMIlISsG001fhExPHhkvuiLV9OjE3jlRKp4EXgaEs9iQ6JY2daKKpjpU9O6B5BeM9cfIJxa/7ryA3Px8mOuo4/NtAaCrzD1I9/CIxbf0/yMnNR21TXexZNAAKcvy6zcIjEjFt9gkkJ2dCXV0Ru7YMh76YMq4SOCGXDrl2SNQ0FLF0wyDUbyweLrvS3W3/PTovLw9VKUbls/Ts2ROvX7/G/PnzMXHiRMjLCxakKWj/hHF+TnYuls8+jdcvA1lzE2Z2wi8jyocd+fdFZ/HKLQSGBuo4um+cwHFVBUSK2upKuLx1fGHKsdRiIoyVUoHa+HbCiVp++plrSMzIBHEqznJohQmtm4kNPXkFUm1hV6mCL9UPOunyFpz3G/ilcX3M7WhXoTJ3KFOHYk6IGp7SiA9O/wUqYpB5dPelL5bs4jhCKVDuz5m9BOJQEMYa8/GNwsz5p5GVlctAyc4twwWi5xZGn37WxvMH77Hhj4ugN28K2p08twt6/CJZ931oaCjMzMzw6XP2nJ6eHgMokyZNqrAAhcoOrJp7Bi7P/dn0jp7mgCFj24h6ubD2i5ZlWLqgJxza1hXouumZOejx2z5kZOViYn9bjOvzJeVYCkwEUm3FO7nohDvHJmH59fvI/fQJCjLVsKl/V7S3lJIYCWtW3cOjsPTqPfjFxrMmNRUVsLhrW3StV6vCAD9HVx8sOnGTJUZYmVTHvqn9oCAGgb3Hr7/CzrNcwbr+Dg3x+6j2vOuUHtwL/jiPvLxPqGmug20bhkJJgBLwwlqHP2qHauosn3Ma0REf2SGt2tfBzCW9oKLKv2VMWGMnYrY1a9bg5MmThQBFV1cX8+bNw+TJk6GgUHHGmpubh9Xzz+HlY1+mnuET22LEpHbCUtVP26EU+bFTDiMsPJGxHu/9a6TAmXHn773FxmMPWIrztW0TvnLLSoFJuUyr+FykYMLn/30OlwPDWccM1VSwe0hv1NKteMGa4qPZ7/eEXCFHXrzGrscvkZ3HZe50rmvB3Duq8hXD733+hQdWnb3P+k6U9Tsn9eE9boZcEn8evY9LDzxYv34b0gbDuvEf8PjwyXusXHeVATlKI964diDkeXY1/eweSUnKwMZll1jhNxJtXVXMX9MfDSTEtVMwdn9/fwZQTpw4gfzPGXQ6OjqgQFlKNxZ3ycvNx7rF5/HsPsf3MnisHUZPdSg3MH7q3EvsP/yYXXv3thGoW1uw2lV0/w5d+DeCIhLQoYUl1kzv/tUUSIGJuK9IIfevYMLNZv2BaipqaGZsyEjT1BUrvu9VyKoSanOhCWSdugen4DDWLrHGkoWqSQ0DoV5HVI39/fA1Nl/miLrs65th89gevMcgUbr23C2X4eQRwvq19tcecGgu+gDA4nR85cYbbN3BMa42bWKCtcv7iyfj6ueB0CZx+fRLHNp+l5Wvr1y5EoZNaIsh49qwt1lJkoCAAAZQjh8/Dmtra0bURsGj4iz5efnM7fboNkcy98sIW4yf0anc+h0bl4KR4w8iKzsX3TpbYd6srgKry+19GKas/Ye1s3fJQDS2/Lr2mBSYCKziitVAUWAyvJ0dFndtBxkxJIaqWFotWW8Z2dXLN9h09ylznxFXyDR7G0xu0xxViGBKzIXI14iEjaRLE0usHdGF936Tn3rKmnPwDY2FbLUq2LVwABpYCPY2J4xpOPOPM/YeesSaam1rgeWL+/AeB1PcuAJ8orBu0XmEh3KuxwZNjDFvVX+JyNr5duxBQUFISUlBo0aNCn+aO3cutLW1MW3aNCgpKRWnrnL5nWJKtqy4jIe3PNn1+gyxweQ5XcoNlNA1l6+5jEdPfaGkJIsTBydCTU1w99finddxz9kP5oaajM35W3AoBSblsrzE5yIFE7796m382rOT+HTs/6gn7yJjMOfCTYQkcL79psYG2NSvK/RU+U/J/dk0ELAiq8nxR1TBBOjXsj7+GNShXB+S3+tf3Mc0UGXSmIRUqCnL4+CywTDSVed9RR069gTHT3NMuh3b18PCud0F9suLelAUDLt7oyNuX+G4WZRU5DF7aW8WfyLJEhgYCEtLS+bm0dTUBIEUAijKyvzdkx8T0rDq97N4586VBKHg5OkLupfr/ebqFoK5i86y68+a3gm9ezQWeBnEJ6Wh18yDrDjn/NEO6OfQ8D9tSoGJwGquWA1I+oRXlNmggnlrbj7CxbfvWJdV5WSxoIs9q7sjzqZlAierzt7DBSfOrDzIriEW9GvH+4YbGBaPCavOgCwohrpq2LdkILTU+H3rJV3t3HsfF65whIVE3z17Rhext5xQXx/d9sRfa66x4nAknXs3xthfO0JNnV/eGFHd35GRkVi+fDmOHDkCSjkm0dDQwJw5czB9+nSoqJRvLSTPN6H4c/EFxMUks74MGNUKY6d3QOVytKwSRw+VXfgQlohaNXWx56+RQnHtHbzkhAMXnVia//XtE1nhvm9F0vcpKSX9NzMu6RMuqgeXqNq97unDMqPSsnPYJYjvZHl3B5hpa4jqkgK3S4X1Fh+/hZtuXHZA1yaWWDW8M+8xJy5eoZi56RJ7E6uhp45dC3+BjgZ/b7ykGyLe27TtJhzvcKZ4cussnd8TsrLiz7hK2TrrF5/He08uSF5BUZbFN/Qfbgu572wmAi8sMWiAUozXrVuHw4cPIzc3l/WICNpmz57NrCiiJmqjzJsT+x/h3NFnbO1Uk6mKWUt7waHbf60KolZX0SraxM1Tr67g8XAp6VnoP+cQUtKzMaBjI8wd+f26PpK+T0mBiRSYiPr+Fbj98I/JWOX4EI/9g1lbRGw3s70tRrdswnsMx48GR9lGK8/cw1UXLkvArq4pNo7pDnkZfjfcB6/8sGSXIwMnhjqq2L1oIO/ViKkv2/fcY9T1Ziba+GvTUFaVuCIIZYOcP/4cpw8/ZZwnJBqaShg2sS269G6CqtUkk4Txw4cPWL9+PQ4ePMgASq1atUDsslVESDr5ITgOG5ZehP97rrSFobEWFqzpD2LoLW95/SYEcxZyLpyB/Zph6kThFAbceeYJjt9whUy1Kji/cewP700pMCnvGef5epI+4Tyrt8yXJ7P/bW9/rL31CLGp6awdypha37czDNTK14xc0kFQn7dceQrK2CFpYm6A7RN6Q1me3wqvj18HYNGO66zIor62KrOc0DefQro6f9kVbe1qQ1uLXytOWfRA8Q4nDzyC48XXDPRxG6cmRk/rgNbt64i1+7Es4y04JywsjAEUOzs7DB48uLCpO3fuoHnz5lBTE7yOFK2NGxdcsX/LbWRnc1aangOascwbPixTqalZGDPlEOLj0xiQ3rN9JGRlvrDpllWfVCV8wLwjjLV5ZI9mmDbI7odNSfo+JbWYfDP1kj7hZb1pxOW8lMwsZj255unDuqQoI8NI2fo2Es/YE3qoHrzrgp03XrD+1jHUwe4pfaGhJHjkviBz8uxNEBZsv4bcvHxWV2f3ogEw0BF8ExGkT5JwbsSHBBzdfR9P7nKxUWzOGxhi3IxOEsd98qP5io2NhYmJCWRkZDBjxgzMnDmTuXvKIglxqfhrzVU4P+V4ZKhEwJxlfdC8NT9p73Q/r1x/FQ8f+6BatSrYt30UzEy1yzK0/5yzct8t3HjmDRUlOVzcNBbKij+2Gkr6PiUFJlJgIpSbqrwbuenly2JPkrO44MOOtWtiRU8HsS2qeObpW6w7/5D10EAT5QAAIABJREFU1VRXA3un9IOeOr+WgRfuwZj/11X2hqajocTAiThk6/xsLdHGIM7BzwV9930XgYN/3YHHa45DhqR5KwsMGmOHeo1qVIgxlPWepiKBAwcORHY2d29SYOxvv/2GWbNmsYDZkggFFZOL7MIJp0IXmU0bSxZPoqbBX9D23QfvsGbDdTaEKRPaYVD/5iUZTrHH+H+Iw4glxxnx4Myh9hjS1fqn50iBSbEqlawDJH3CJWm2YlLSWEHA54GhbFhaigpY1asj2lmaieUwr796jz9O3Wa1daqrK2Pf1P4w1inbm6SwBvjSMwTztl5Bdm4+tKnA3sIBMK5ess1DWH0obTvkKqkIxGYEolxfBDBituCAmMJh1q5vyIJkbdvVqRDjKO380PGUxbNhwwbs27cPWVlZrAlKLS4AKJRy/D2hmB3HS644eeAxkhI5ly0FFY+f0RHd+jXlFdDFxKYw2vn09Gw0blgDm9cNFlq23cyNFxkRYnUtFZzbMBoy1X7uGpL0fUpqMfnm7pD0CS/LQ0acz6GH/6lX7th45ymyPqcxDrRugPmd2kBRDGrWfKs7Kvz3+9EbyMnLZ+6cvVP7sQKAfIrruw+YveUyKP1RU1UROxf+AjOD728cfPWT/Pr7Dz/CnBldWBcqCjgp6CulF589+gyhgbGFKtQzUEe/YS3RuVdjXmIlymMuo6KisHHjRuzduxeZmZnskhYWFvDx8fkqtZfu46f3vHFk1z1EhiWy46h4Yo9fmmLIeHve07Dz8vJZsKu7ZxgUFWVxZO9Y6GgLJ7aN7r9p68+zMa+c0hWdbYvnxJH0fUoKTKTApDyeTyK/RlB8IuZfvAXPSO7N1FhDDX8N7IHaevxu+t8buIt/GGYcuIKM7FwWCLtjYm80NhM81VAQJRMF9uzNl5GZnQt1ZXkGTmoaiZfu5i05B//AWGxaMxDmZjpsuJQyShTxFUGYBcUpAOePv8Bbl6DCLhNJG23AvQY2h6aQNjtx00d0dDQ2bdqE3bt3M8p7cusUiJtzAI7tfggfLy7tmqRt5/qs1k11Q/Gw3m3ffQ8Xr3JB7JTO7tBOsMrBBeOk9Ttm+Sn4BMfA0kQHR1cMK9F6lgITcVvhIu6PpE+4iNXHa/OUorvvqQv2PHZG/r//srTi39q1xJiW1mJH2uUVGo2pey8hOSOLUcWvHtYFnRrzE9BXMGnufhGYufESMrJyoKwgiw0ze6FJHSNe5/Rb8PH3yec4evI5ZkztWMiySdlFVYvUrCGacopDoeBEcZVA3yhcOPGC1XcpyOKpXKUyrG3MYdu2Nlra14a6Jn+xFKLSW0xMDHPp/JtfGS8e+eDahRc4cHox9NTqwFjXFs1b1mdum1pC4AQR1hgIkBAwIenXyxq/Te0grKbh+MwbK/bdYu3tXPALmtUrWcFESd+npBaTb5aYpE+40O4oMW7I7UMEZp93RHRKGuullYEe1vXpBHNt8XJPBEYnYPLui4hN5vr5a/dWGNexGa9+dK+AKMzadJERPNFmv2RCJ3RtJZy3Q0GWTFHXzRv3D1iy4gJsmptj6YJehc2GR36Ej28UTp97CUMDDZYOTW+3cnL8csf8bNyx0cm4cuYlSzMuYJGl4wlY1bUygm272mjVro7YWA4EmUPieaHsmsd3vODy3B+5OXkIjnkB/whu05eTk8e0aVMxb948UGVjcZD7D72x6s9rrCtNGhljw+oBzMUkDCEytYG/H8HH1Ey0tDLBtt/7lbhZSd+npMBECkxKfDNUpAMprXjd7ce49JYjOJOpUgUzxJCUjUAJuXW8w7jYg17N62LpIAfIVBWcF6Gs8xUalYhZmy4hIpaj+57QtyXG9bXhFTBRP8gVQlkL5LrJyMzBnIVnEBOTgvMnpyElJRMb/7oFeblqqFfHAM2sTXDk+DN4eIVj09qBMK6hVVZ1lMt5tGlTivGzB95wcw5im3ZRMbXQZZYUAin0d3lSrwuiAGJqfe0UyMCI02MfZGZwJHQkFMBs2VAbcWlvcPnaaaSnc8Gu8vLymDJlCn7//Xfo6ekJcnmBznVxDcLCZReYRcvCXBfbNgxh8SXCkj+P3MPFBx7MYnpq3ShWKqKkIgUmJdWUhBwn6RMuIdNU4mE88gvC0qv3EJfGPfQaGVbHuj6dYarFbzZM0QFQrMniE7fwwCOA/be1uQG2jOsJNUX5Eo9T2Ad+TMnA3K1XQBYUku529bB0QvmVkv/ZeIq6bi5eeY1+va2xfvMNPHriiw7t66JeHX107WTFmiAzvKqKPBza8m/1KekcZWZks2ye5w/fMwtDUUsKtUExKcSNwj5WRrCsZwBFMWHKzc/LR3BALN57hjGqfpdnfkhN5oJeScgSRFWZKYakdfu6UP1cWyg+Ph5btmzBjh07kJbGWRAJoBDN/cqVK0uqOqEd5+0TidnzzyArOxcG+urYsXkYNIRYB4nuq/ErTzOgPam/Lcb2sSlV3yV9n5IIi8ndu3dZcSlnZ2dQuW6qerlz585STXTBwZI+4WVSSgU/KTkzC2tvPsIVj/dsJLJVq2CWQ2uMaNFIbCjtKQhu+/VnOHLflfWxhpYaC4o10eUv+C8rJxcr993GfRc/zBzWFkO6NBGblVAUnNy844GjJ57D0EAdPbs2wtkLLtDSVMbyxb2RlZULWblqYhdjVFJFksXBwzWEgRSnRz5ITOA27aJCm72JuQ7qWBFYMUKtegbQ01crl0yfhLgUBkB86OMVDj/vSGRnceysRYXAE4GRNh3rQ0vnx9ksCQkJ2Lp1K7Zv347U1FQsWrSIBcuWp4R+iMevc04iJTWLgZFdW4ejul7JrRnF9ZXW7phlJ+EXGgfj6uo4sWZEsenB37Yp6fuURAATKiB169Yt2NjY4NKlSxg2bJgUmBR3d/wf/v7AJxB/XLuH+PQMNnoqCLihbxfoqfJLdFZ0Ki699MLqs/eR9+kTVBRksXlsTzS34C8AlQDTs7dBsGtsxrsr59slW0C2tmvffQZAxo1uAzVVBSR+TMeq9VexYE536P5kE6xot8CnT58Q6BvNWSM8wvHeIwxRER9/OAyyRujqq0FXT5X71leDjp4aAy3KqvLMlUIBt/RNH4qdqFK1Mptn0m16WhYS49OQGJfKvhPiU0HU+4nx3L8jwhIQH5Py3esrKcvBsr4hrJoYMzCib1Q6gJ2YmMjAya+//ooCzhOqybNq1SpMnjwZ+vqiqY8TG5eCabNOIC4+lblttm8cWpgBJqz1cua2G7aeeMSa27XgFzQtYcBr0etLgYmwZkOE7dANW+BzJSrkHj16SIGJCPVdkZv+mJGJ1Y4PccOLq/yrKieL1b07oWOdmmIzLEonnnP4GlIyslG1cmUsGeSAvjb1xaZ/PwIIfHSQNtCZ806zQNghA1qwLlBWzoARu7F0fi80bWLCR7fK7ZoEFMhiQSDF2yMM/mSx+FxPpqydYOnXlSrh0+eaP8W1Q8dT3AsRx5HFpnYDQxjU0BB6HAxVNB43bhxkZWUxYcIELFiwAAYGwkuzT07JxK9zTuBDWCJkZKqy2CSr+sJ9KYhNTMWg+UeRkZWLzi1rY+XUbsWp97u/S4FJmdTG30mSBEyy8/IQn5GB2PQ0xGWkIzY9vfCb/Z2ehtScHFSpXAlVK1Vmbgn6VPv8zf1fJajKysFQRQUGKqowUFbh/lZWYXVm/l/lmocPVty4j7RsLhhvkHUDLOhsz3v134L5CIn9iF/3XcaH+CT2X6MdmmJGj9Yl4jjgY07zP33ixS1GFp09Bx4gP//fwjTObTvvwPNdOA7tGcuHKni9JjGnRoYnIjYqGbHRSYiOTEJsVBJioug7GVR7hsBcaYWK5WloKUFDS7nwW1tXhaX1WtSpDnkF4QWF/qhve/bswcKFC5GczAVlUy2eAoBiaGhY2iF9dXxBMPV7nyh2j63+ox9sbYT7skJ6n7PlMp6/DYaSgizO/TkammqKZeq3FJiUSW38nVRaYJKSkgL6FAgxFVJVTKqaKehiL40WCIT4JMTDKzaGfd5GR8E/MQGfyvAQKel11eXkGEAhwGKpqYUGurqw0tGDtmLZbpaSXldcjgv/mIw5F27CPZwL8DTX0sCf/bqgvr6uWHQxKT0Tsw9dw+vACNafDg1rYtWwLlCQFY/01+S0TOw6+wwLx3Zg5n++wElCQhrmLDoLeflqkJeTQXBIHNau6I86lqIx94vF4ihjJyhmJS46BRRgS9kmeXmf2Hd+4Xc++/en/H+Zu6cAjBAtvDhIUlISc/FQHAr9XQBQyJJCoMXIqPQWDmIVXrziAsvgIlkwpxu6dGwg9OFeeuCB9Ue41Gi6Z/q04wK0SysEcD6EhcHE2Ljc96nS9rWsx0tEjEnRwZcWmCxfvhwrVqz4j/5ECUwIbLyLi2XgowCIEAihuIIfSZVKlaCloMhAg46CInQUub/JGkLt0bn5/37ivj/9i9xP+WyjoH8nZGYiIiUZEampiEn/b/Dct9fUU1RiIKWBjh4a6Oiivo4uNBX4rYZb1gVe3HlEyrb7sTP2PnEGvUeSnse1aopp9jaQLaZeRXFtC+P3nLw8rDxzD9decYG7NatrYsvYnrzX2CkYG9X4INbK7fP7o5bxj9lYk1IzoaYs2iwj4pzQ0FCEnq4aquupCkP90jbEVANkNaEMHsrk+fiRi7OZNGkSyKpSmiKPxH2zcOl5hEVwNPjCLMxXVHVUpG/c8lOsJlXrRmbYNLt3qfpZtK2bbr7Yd/EOrqz5TQpMynN90qIjy0VxYmpqyvyNggCT8rKY0AboHBGOu0EBuBsYgOgfAAQVWVkGBAgQNNKrDiMVVQZANOTkhWIqJ8tMZFoqIlJSCsFKSPJHeMfFIujzDf49vZP7p7WRMdqamMLWyBhKEuYGcgkJx6LLtxGexFnPzLQ0sKZ3RzQ24v+tm96QDt19hZ2Oz1l6oZKcDNaM6IK29c2Lu0VE9ntRKvjDl1/iwEUnzBreFgM7NWbXLGo9iUlMxUlHV8jJVMPUga1F1qeiDX+vCnFubj7cPT+gaRPTcumD9CKi1wA9vwmg0Ofly5egF1MSmv8Cd8ePevHW4wP+WHWJZd+Q+2bW9E7o2a2R0DudlpmN0X+cRFh0ErTUFPH36uGsJlVZJC0rG33WHENERAR8jqyUApOyKLGs5xw9ehRjxowp9vQ3b96gUaOvF1JpLSbfXkSYvruM3Fw8CQ3BnUB/PAgJQsrnMuAF11STk0N9bV3U09EptEwQECkN4i9WSaU4IDU7mwEUz9gYeMRGwzMmBqHJnLm0qFAMS1N9AwZS7I1NYaGhyVufSzG8Yg/NyMnFtvvPcdz5DbOeUAWWWQ6tMNFOOKXNi+1AMQc8fx+ChX/fZDT2JBM6tcCUrjZCAaxl6VtR8PHGJxy/b72C5vWNsfbXHqy5AvBC6ZFR8cn4Y7cjC4jcNrcvlBXlynJJgc45efYlDhx5jNa2Fvh1cgeJytgRSDEScDJl7FSr9sXFefXqVfTv3x+jR49mKcf0EltUKMV88/bbzJVF2TcrFvcRSaA0AaRFO67jwSt/Fu+3a9EANLYsezzMxkuPceKRGz5lpMDr4HIpMKkoa5dvYEKWkVuB/rjm64OnH0KRnf81g2MtDU10MrdAR/OaqK+tI/Ybekp2FrxiY+ESEY7HocHwiIlmm3ZR0VdWZgDFwdQcdjWMWY2aiixEab/4yl0EJ3zE7iG90N6yeMvEy+AwNNDXFXlF4/CEZMw5fB0+4RxTrG1tY6wf2Q2qPGz0dP2ibKxUnXj6n+cRHpOE0+tGFbpu6I1RSZ6zbK45eIcSPjB/TAdUrlSp3NY/CzxceBZub0NZP+Rkq2HkMFsM6NtMrGvqVOT7iM++d+7cGXfu3GFdqFq1KkaOHInFixfDxMQUB44+xulzzuw3/epqWLfyFxgbiaZcxdnbbtjyOTV4+iA7jOjRrMxq8Y+Mx6CNJ5irvn8jYywb218KTMqszXI+kS9g8jEzE6e9PHDC4+1Xbhp6625SXR8dzWoyMGKqJj6Mo2WZmoSMDDz9EIJHocHMGpSUxb29Fwi5nHpa1kaf2nVhpaNbbhtPWcbys3OycvNw3ycQ3RtYFts0mVf3PXsFRy9fzGzfCj2tahd7jiAHZOXkYc0/93HVhaPb19dQYUyxdQz5qy9SlPDs3J036OfQkJGa5eTm4chVZyQmZ2Dh2I64cM8dvqGxWDSuoyAqKNO5ZMFxvO2OfYceIzWNW7fGNTQxc1onNG5YsuJpZbqw9KRy1wCxx1K8ycaNGxEXF8euX6VKFdS3soeskjXkFTRhVd8QK5f2Zdw3ohDPgEhMXn2O1Wyya2KODTN6lTmrjoD1mO3n8CYoEtXVlbFjhANq1TSTAhNRTJyw2gwNDcWrV69Yc1OnToW1tTXLdyf55ZdfSnWZ0rpy/BMScNTdDZd8vJGV98U6YmtUA90tLNHB1Fxis1zIlE8WFAIpD0OCWSBvUTFTV0ff2nXRx7IuDFR+zPZYqgkS44OJ/n7ZtfvoVt8S8zu3EWlP6UH1z3MP/HnxEXvwUb2NJQMd0Kt5PZFe92eNf1vlt8CVQ4Gv41acZvTeeloq0NNUwYopXXljY01KysD+w4/geMezcDjk3pk0ti2MDEtHBMabsqUXLpEGqP4OAZQ/N2xA/GeAgkqV0avPJPxzZjvjKxGFJKdmYsTSE4hJSEV1LRUWV6IigFXzmos3lpy8zbpKwe+WmnIsA0mUSRqi0EtJ25SIrJyfxaSUNme/JMCEsmDIWnDk7WvmrikQuapV2UY8umETWGiKxjRY0onl47igj4m44vsel33eIyyF4xookBYGhsyKQmBN0gJnfWPioaWoAE0lBcSmpmHJlbtY26cTtJTKFuBWmrnzCIlirp2CCsWD7Bri9z72qCakCqil6UvBsUHh8YxFtIaeOrOYyFSrCk//SOy/6ISureqgUS0D6OuoMjcQX/FU1FfiOiHOk8DggjfqyujTozFGDmvF6utIRTI0QNWoV6y9AE/3+wgLfozcnDR8Lz5RWKMlQD578yU4eYSw+/DAH4NRx7TsFAQpGVnoveYYEtMy0LqOCXZO6sOCX6XARFgzVgHa+RkwoQfpVT8f7HBx+iqDhdJrRzRshMH1rKAuL32gkZ5coyJw6b03bvj7ITUnu3DmlarJ4Jd69THKqjGM1YRXf4KPpVWwsd729sfy6/cxsXUzZOflM5fOgeF9oauiVC7dSkjNwLyjN+AawPEwNDKtjo1jekBHtXyuX3SQFGey7eQjBkqGdLUu/MndLwJRcSno0qpOueikpBchzo5bdz1x6NhTRmVPQsGQI4a0RL9e1iJ7oy5p/6THlV0DlIV1+O+nOHPemWWzycpWxZzfOiArPRS9evUqbPjFixfYvXs3li5dCkvL4l23xfXoyBVn7D3/nB02f7QDc2sKImvPP8DZp+6QqVoFFxeOhJGWWmHGkdRiIohmK9C5PwImzz6EYpPTM+a6KJCGunoY29gaXcwtKnzAp6imiNKT7wcH4bKPN3P5FHC1UOyNvYkphta3QlsTM0a9XpHlgW8g5px3hK6KMrrXt8SUNi3K1VVBbpRtV5/i+CM3pkYtFQWsHd4VLSzLP3birW8EFvx1FZ1t62BCv5YspuTgJScY6aph0bhOYjnNxPx59rwzzpx3QXY255LV01XFqGGt0NGhXrnOpVgqqIJ1ys8/Gn9uvYnAIC5I3KSGJhbP7wkL8/9aLjp16gQqBEsZY4MHD2YApXbtssWJuXiFYsaGi4xbiijnyWUpiFXQOywGwzafZu1N7mKDKV1bsvGUxLJfwabsq+5KhCtHmBPw7YS/iYrEJqfncAr/UHiZNjVMMKNFSzSuzj/HhTDHLuq2iFr/pKc7Tnm6M9K3AqmupISB9RpgYN0GqK4sPgX1fqSPnLx8uIVFwsbUCNm5eYyIjawnOx+9RBsLEzQ0rC5qVf6wfSJfWn76DihAlrJfxnVozh5mFIhanvIxJQMLt19j/cjMzoWKkhz2LBpY7v0o7ZipeBu9ZZMVpYB0uYaRBkYObYW2bWqLff9LO15JO54sdsdOPGdWEnKpkPTvbY2JY+0h+x3GZHbf7tyJ9evXIzIykh1PQGLQoEEMoNStW7fEKgqKSMCkVWeQkp4NE30NHFkxFApyZS/7kZuXj6GbT8EvMh6Gmqq4sGAk5D7HxEiBSYmnRTIOLJjwRx7uOBUahLtBgYUDI+Kz31u2hp2xZBcGE/VMkhXF0d8Pp7zc8TqKexiQUPqog6kZxjSyBsWkCPKmIcoxPA0Iwdb7z7FzUE/oq3FBvW/DonDDywdT7W2grsCvOy8gKh7zjjoiMDqB9Y1cO5RSXF2j/AOQ3wdFQ1VZntUGoeA/vmjrS7seAoJicfjYU7xwDig8lSwoA/s3Q7dOVpCTE4+yAKUdlyQfTzFDG7beRFg4x+JK7L9zZ3SBdePin9dZWVk4ePAgAygUv1EAUAYMGMAqGteqVeunqouITcLEVWcRn5QOZQVZHF4+FDWqC5aBuf+2M3Y5vmDX3T+tP1rU+mL9lAITSV7J3xlbwYTXWLEEVT7HQJira2B2y1bMZSOum2VFnSbfhHic9nTHRR9vpOVwBfVIyE02ybo5OpqZ80Yg9jOdbr77FGdcPfFb+5ZQqFYNTwJCQBw22wf2FIu36sycXGy69BjnX3CZJ8ryslgxpBMcGgq3MFlFXXcl7be3TySOnngGF9fgwlNUVOTRr1cT9O1lLQ2SLakiRXgcueEOHnmCS9deMysXWQr792mKcaPsWO2k0ggBFKpivG7dOuYuIbl//z7at2//w2biPqZh0uqziIhNZhYNKs/QsJZgVY/ppWLQhpPsmdK/ZX38Mfjr9HopMCnNrErAsQUTbrRiCWoYGWFGC1uWaVPRYyDEfWqIJfe6nw+Our+BTzyXJUFCvC8TmjRlcyBbVTSpfWXVDRGxkfuGxFBdFVPbtICeqni5ou688cPKs/eQmskFIA9q3RBz+rQRizpABXqnOiLxSWloaSW+VPFkQTnzjzMePH5f6CIgkrZuna2YFYWsKVIpXw3k5eXj5h1PHDv1HPHxXA0w4qWZN7Mr6tUVDBhkZ2czgPL06VOcPHmy8IU0ODgYqampsLLiCvBRWvDkNedAbhxyl26e0wc2DYq30PxMU2RVHLXtLDxDo1kAOwW80otFUZECk/Jda7xfrWDCN99yxDSHjmK3GfKuIBF3gHy+lIq97/UrvIwIK7yatoIixjRqgqENGoLqCYmTEMGaktx/+0RjOeHyFv0a1RM5I+zP9EFssQuOObIHHUktfS38OaobzPT4T2knP/qYZadA4KR32/r4bah9IUusOM1xQV+iopNx/tIr3LjlwXhZSKjOSnv7OujX2xp1LKtLraoinjiKHXn4+D0OH3+GiEiugB/NwdCBNhgx1BayIuImoesMGzYMp06dQr9+/fD7vIXY5+gL76AY5oZe82t3tG/2c5dPSVRz/KEbNl1+zA7dPqE37Oub/ec0KTApiSYl6BhJn/CKNFXu0VEMoNwO9C+kwScOlGENGjIrioa8aBgbS6ujH/FxnHH1YGnENdRV8We/LrwWBGRVlB2dcPgeR0RIJueF/dujd4u6vG6kZAanGjvvgzlyPl1NZSwZ34nV3BFnSUrOwOVrbrh41Q0pKV8Cuc3NdNCreyN0bFcXCgriBaDFWZ8l6RvdZy9dgnDw2JPCbBs6z761JcaObA3jGlolaabMx2RkZDBLSWDgl7hDdaP60G/QEevnj0OPNoKTG/pFxGHYltOgAPtu1rWxbmTX7/ZX0vcpaVbON9Mu6RNe5ruSxxOJuO2gmysuvvdGzqd81hPFatVYqva4xtZQkS3/gnAlUcf+py7468EL5P/7L3ujmmTXHFPtW/CaWv7CJxSLj99iZE0k9PBbPLD9dy0+JRmjMI6hVOe/r7ng0OWXjMWWpL9DQ0wfbCdQVoMw+lZcG5lZObh52xMXr75GeAT39s6An1w1dGhXl1WrtbTQK64Z6e/FaMDdM4wVYPTy5gJTSZpZm2L86Dblql8qFnjkyFH8vmAJUj5yqcgkxIuybNkyNGnSpMxzmZGdi2GbTyEoJpG5cP6ZPxxqit8PpJf0fUoKTL5ZRpI+4WW+a8TgREo3PvLWDcc93oJiUkhUZeWY9WRkw8ZiySjrHh6FeRdvITSRq9JcX18XG/p2gZk2f9Tn8SnpWHziFl76cinwRlqqzLVTrwa/G6hfaBxW7r/F3DokROW9YGwHgX325bF06W2eGEavOb7Fk+d+IOK2AiFgQgClvX1tqRWlFJNBOiVAcurcy6+Cj+vV0ceEMfZoZFX+HD3kRlq+9yZuPn+HhCBXpAU/Q1zMl8zCx48fo02bspWjWHHmLi46ebGXmAPTf0HTmj+uQizp+5QUmEiBSSkeFeJxaHxGBva6uuCE51vk5HMWFDU5OYxtZM0AirjFoGTk5GLDnScg1w6JbNUq+K2dLUbZNOEtg4cesEcfuGLXjReM9I6Cuyd1scHYDs146xPphmJOiDnz6FVnVkWVpEMLS8wY2gY6GuIVWPyju4EYZCko8/rNt6CYlAIh5lF6y29jWwstW9SEsrJ4Wvr4vstj41Jw+54X02FkFAfoScxNtTFudBu0bG7Oi/uR7pk1h+7g+pN3rD9DujTB1AG2LOZk9erVkJWVhaenJyNqI8nPz2eFA0siN1zfY9HxW+zQSZ1bYGo325+eJgUmJdGqBB0j6RMuQVOFqNRU7Hz1Eue9vZD7iXtDVZaRxehGjVmgrJocv3wi3+qaivwtvXoXcZ/dKA30dbGmdyfU0hWtb/xnc061duYfc0RkYgo7rIGxHlYP7wITHcE4GARdZ74hsWwToG8SBblqmNDPFgM7NmJ1eCqC0Ebm6haMq45v8eJlQGE2D/W9SpXKrKKxnW0ttG5pAU3N8i8fIE46zMnJY5wxjrc94OoW8pWuTIxq/N+MAAAgAElEQVS1MHxwSxZgTEGufAhlAK09fA83nnKgpJd9fVYhu4A+Ii8vj6UXU3X7ApkxYwb8/f2Zi6dFixY/7LZ/ZDyGbz3NyAibmBvgwLRfin05kPR9Smox+Wa5SPqE83FTi/qaEakp2P/6Fc6+8yy0oFCQ7CTrZoysjXhGxEWSMrKw7vYjXHF/z7pUrXJlTLFvgQmtm/EWe0JZRRsvPsZlZ+6hK1etKmb2smOpxXxtBNQPSpu8eN+D1R1Jy+DSnWsaaeH3UQ5oZClYOmh5rweyojx94Yenz/2Yy6eoq4d4N+rW1oddq1rMGlDDSJMXi0B564RcNZSGTSy7dx94fxVErKggg/Zt66Jb5waoXYvfTKe0zGws2nEdzp5cwVYKcl08rtNP742oqCiYmZmBeFFIunTpwgCKjY3NV2qme2/o5tMIjf0ITWUFnP19GLRLUONK0vcpKTCRApPyfh6J7HoxaWk44ObKGGWz8rh6J5Rm/GtzGwyq14C3jf97A37sF4w/rt1DTCrHv1C3ug7W9+nMq/XkoWcgVp65VxgYa1OrBlYM7QQ9dX5dKAnJ6dhx+gluPufAHEl3u3qYPsgOGqrikZlVmkWdmpoFJ+cAPH3hD5fXQYW1eQraUFdXRCMrIxZDQZ8ahhoSA1SSUzLx+k0IXF8H45VbCKgEQFEhK1LXTlZo06qWWLDrxiSmYvamSwgIi2fdHNipMWYNa1ssYCc3ztmzZ7Fy5Ur4+voWDpHq8hBAsbW1ZWUs5h65jnvuAahSuRKzlFj/JK6kqJ6kwKQ0d5wEHCvpEy4BU1TsEChIdofLS2ZBKSgaaKyqxth7u1tYsuAycZDUrGwWe/KPmxfrTrUqVfBrWxuMtW1arClXVP2nbJ1VZ+/jgQdHxU7ETvP7t0WPpnV43xzd3odhw7EHCI7gqPaJ+nvSL63Qt70Vb/oSdB6ysnLx6nUwC5h1cglAWtqXStwFbWswoMKBlIZWRjAy0Ch2YxS0X8I6n1wgxJ5LzLnkovH1jyqsQVRwDR1tZXTp2IB99KuLT8Vxv9BYzN58CXEf0xmb7MxhbTG4c+mybgignDt3jtHav3//BVh36NAB3SfMxpHnPkwNs3vbYVT7piVWu6TvU1KLyTdLQdInvMQrXwIODEn6iC0vn+O635c3lnraOvjd1g52NYx532gLVEy1d5ZcuVtoPWlooId1fTvDTIufzB16k7vu+h7rzz9EWhZXJsDBqiaWDHKAhhK/Fgra6E7fdsOhSy9ZcUASUwNNzBxmXyGyd352W1GqdEBADN56fGAfj3fhyMj4Uqah4FxKRTY10YKZiTbMTXVgaqINM1Nt3unxs7NzEfohAUEhcQgOiWff795H/GcM5B6sV8eABQI3szZBrZp6LOZGnMTJI5i5bzKychlh26op3WDftOzlHAignD9/nllQvL29oaOrh+oD5uDfylXYvbV5bI9SPY8kfZ+SAhMpMBGn54FI+uIVG4NNL57hyYeQwvZbGhphQWt7NND5bxl0kXSimEZTMrOw9tZjXHb3ZkdS5s4sh9YY2aIxb2/H0R9T8cep23D24xh4CZQsG9wBbRuY86Gir64Zk5CK7aef4J7zF9DZupEZZgy1F7h4Gu+D+9yBokDlDQEVr3BkZv4XqBT0V1NDiQEUomXX0lBiAbX0f5oaitDQUIKSomypNr9v9UCANS09G+SOSU7OQFxcKoJDv4AQyqApqOj77blkCSEg0rSJCZo0NIaioviSz11+6IENR++zrDB1FQVsnt0b9cyFUzH806dPOPz3CWy79hRVDOuihpYaTs0dimuXLsDAwAD29vYlWn5SYFIiNUnOQZI+4ZIzU6UfiVPYB2x48RTuMRw1Ozl0+tWph99tW0NHUTyyIh74BLLYk/h0jgCtaQ0DrO3TCTU0+DFx00Zz9pk7tl19iqxcLm6nd4t6WNC/LRRkS1cgrfQzVvwZb30jsPXkI/h8Zo6leiUUBzC2dwsoK0pWOi4BlaCgWGaJCAqOK/ymwNqSiIxMVQZSCKwoKMgwKwWltlapUokVyuT+XYn7VKr0FQhhYCQl84fAo+j1qYYQWXRMjbVgWas6AyMG+vxmeZVEP7TWKdD62DUXdrhxdXVsm9sP+jrCq4NEczhx13m8DoxgQebHZw2GrpIMy+ZJSkpiwGT58uVo27btT7ss6fuU1GLyzfSLy4TT28nH7EwkZmWwb/okse+sL3/nZDKiMXqIVGUPk8qoUqkSqrDvyiygin5TriYLbXlFaMspQlteiftbXhGacor/d8UJSa+3Av2x4flThCZzHAmUtTOlaXPGgyIvBhk8HzMyscrxIRy9OGuAfLWqmNPBDkOb8ZclExL7EUtO3GL1dsz0NHBm7rASFQLMyM4ROYChDcXxmTd2n3sGCpQlUVOWx4R+LdGnbYMKk15cks3ze8ckJWVwIIU+QbGIiEpCQmIaEhLTf2phKev1Cs4jIGNkqMFcSgWuJXIrUUFDPrO5yjKurJxcrD5wB3dfcvdck9qGWD+jJ1SVhEc5QM+e9Rce4czTt+waq4d3Rs9mdZlrZ8iQIfDw4HiOSIikjYJk27Vr910rl7jsU2XRdUnOkQITnoEJLda4zHT4JcXDP/nzh/5OikdSDpdqJiohi4GGnAIDLKYqGrBQ04KlmjZqqWnBREUd1SpXDL6IsuiHiNn+dn+D7S5OSMvhzOO6ikqYZWOL/nXqsTdIvuXWOz+suPEABFRIrGvoY3WvTjDV4uftk972jt53hY1lDdQ3/jlL7IlHbgiISoBPeCxa1zXB9O6tRK7O9Mwc/H3dBaduvkZOLke8V0NPnQEUImmraJulMBSWkZHNAAoHVNKQ+PlvCrolVwWlLZN7gcAd9/e/LE2bvsn1o6qiAFVVeRa/oqJC31/+rawkJ3axIWXRWUBYHP7Y7YjAcC6ouottbSwe3wky1YRbzfzgHRfsuPGcXWNgKyssHuhQ2F2agytXrrAYlLdvOeBC0rp1a2ZBad++fSFAobpX3v6BaFTHEmFhYTA0/DFDbFn0IQ7nCAWY7Ny5E8OHD4eaGj/mZmEqUtRI9GNWJpxiQuEU/QHvE2PhlxyHlJz/RuJ/OyayfKjKyEFdVh5qsvJQl5Vj30pVZUDUYvn/cg+TPPr+9xOrz8I+nz4hNTebgZ/YzDRmbSmJEL+GmYrmZ7DCAZYm2gbQklcsyekV5hhikd3m/AJnvTyYvkhqaWphQas2sDc2EcgnLwwlJKRlYKXjA9z29mfNFbDGjm7ZRCzA0/fGeOiuC/5++Boj21mjgUl1bLr0GO0amGNyF5ty0WdkbDJ2nXv2VfyJuaEmI2izt675fwlQhLEWJa0N5qa87cbWCjEOU+bN2N42DMgWEKcJa8wXnTyx4sw91pxdXVNsHd/zu/QF9KJ69epVrFixAm/evGHH07764cMHKCtzafub7z3DyQdP8WbdIikw+dkEKSoqspzsPn36YPz48QzdVVQRNjDJzMuFS0wYXkSH4nlUCN4lxhRWyv1WR7rySgwIsI+qFmqqajKXC4ERFRk5oaS5kqUgISudAZW4z9/RGakISE5gVpqglIRCFtXvzaG5qiaa6xiimY4RmusawVBJeP5XPtdMYGICNr54hjtBXJosSUvDGljSpi3qaGnz2TV2bQImq248KIw9sTLQw5reHWGhwx9r7PeU4uIfhlkHr2L9yG6wq2fKDrnl5svM1wenDyjXtN53gVHYd+FFITEWA53G2pjYzxatG5sJffPhfZFIO1BiDVBV65X7b8PFiyNN01ZXwvJJXdC0nvDr79x3D2B8JZ/+/ReNTKtj79T+kJf5Oekj7afXrl1jAKWgQCD182XQBwzfdZhZuYK3rZICk5/NeEpKCqsXcOTIEbx69YoF8owdOxajR4+ucGYmQYEJLSjvj7F4EB6AZ1EheBMXWVgRt0CHZP2w0qyOxtr6qKWqxVwnNVW1WEE6viX3Uz5CUj4y15JvUhwDK37J8QhOSWQ31reir6CCZrqGDKS01DOGmQo/Ka7C0turyHCsf/YEb6KjWJM0V4PrW2G2jS005PlNlSWXzvpbj3HF4wtr7FR7G4xv3VQsyOPI1TN+5z8w1lZnxGwFcvyhGzxCIrFmRBfIVBWuebwk8/7GNxz7L7yA2/vwwsPrmuliYn9blmIs7LfjkvRJegx/Gnj4yh9rD99FShrnKndoXgvzxzgINZ6kYHSuAeGYsucicvLyYa6niaMzBkJFoeTPedpPqKKxjIwMPqZnoseOw3BZtwQKKqpICQ+VApOSLiMvLy8cOnSIAZXExER07NgR48aNY6ivmhgEFhY3jrICk5iMVFwO8salIC/4JHHVUYsKWT9aVzeBrZ4xWujVYG6ZiiSpOdlwi4vAq9hwuMR8wNv4qP8ALhoPAZMOhjXRwciCuX6oOFxFE3oY3Azww/rnTxCewtWQocKAFH8ytH5D3kEA1dxZdu1+Ie9JHT1tVnOH2GP5lMdeQfj96HU8Wz+1EIAkpKRj900n5OZ/wsoiYIWPfrq++8AsKB7+X6rBWlnoM9N9s3o1pACFj0kpx2tmZOVgy/GHuPa5CB/VX5o7sj26ta4rkrmn+KpxO/5hXEDV1ZVxbOZg6KqVLfuPnklTT1/FlYsXEHXhOMumIquJNMaklAsoMjISQ4cOxZMnT9iZWlpamDJlChYsWAB5eeFFOpeyW8UeXhpgkpGbg9thfrgY+A7Po0O+siiQW6a1vkkhGNFV4JfWu9iBl/KArPw8eMZHwSU2DC4x4XgdF4603K85FsgF1c7AHB2NasJO3xRK1cSXu+B7w8/Ky8VBt9fY4+qMzM8U9xYamljaph1a1zAupcaEe/i3rLGUjUX1dqbat+DFKkGjW3v+ASM9WzWsMxss+e2fegdj65WnzIJCBcr4FnrAU82TfReewzsoprA7dUx1MbJnMxaDIg6Bz3zrSdKu7xUQhWV7HBEey1V7blCzOlZM6QoDHdHERYbHJ2HktrNISM2AuqI8s5SY6JbdmnzS5S3L1GMhExqyqBQVhj///FMKTEqyUFkq5q1bzGJy/fp1FrQzatQo9O3bF46OjqAgWUp/unDhQkma4+WY4oAJuTNeRofiQpAXbob6IiOPY58kUawqg27GluhnXh8tdGsIJSaEFyWU4aJE/U7g5F5YAO6G+SMk9eNXrchUrsJcPV2NLZmOKGamoghVMf7zxRNc9eXoo0k6mpljUeu2MOY54PtFYCiWXruHiCTOsmOhrcl4TxoY/DxrRhS6v+L8jgGRTWN6sOadfEJx9IErM2HP6/dzXgZR9OdnbdKz6vnbYObi8Q3lKhiTUBbP8O5N0bVVHaFnZZT3GKXXA1LSs3DgwgtcuO/OspCIQmFsHxuM7tVCZPFOZCUc9ddZhMUns1iSg9N/KTaL7Wdz5RsdhwEHTrMCpR1qm2PHoJ6IiIiAkZGRFJj8THGBgYE4fPgw/v77b5ClhNw3EyZMQO/evVG1iE+Zoo0HDx6MjAyOPEoc5UfAhGIvrgR7Y6/XSxYoWiAUg2BX3RT9zOqhU41akK8qPpVs+dIvPfQDUxJxL8yfARUCLEWjU2SrVGXuHgJwbfRNK0xasmtkBFY+fgCvOG4jI7A1vklTTGvWglf+k/TsHBapf+qVO+sXrclxttaY3rZlibhGhLVOPEKiMPvQNbRvWJM9kF/5h6FmdS0sGdieNytOcWMrsKD8ff0VXr/nGG5JtNQUMaSLNfq0bwAl+Ypl6StuzP8Pv1M24tVHXtjzzzMkf44lMdRRxfIpXdGgpr7IVEDVgsftOM/S5Insb+fEPmhZu+zW1cycXAw4cAoBcYnQVVbC5SnDoa4gj+JeoEU2wHJqWCjpwuTvIjrdMWPGsHgSY+PvT4Sfnx8mTZqEhw8fltPwSn+Zbyc8PTcHZ/zdcfj9K0Skc2+lJHXUdRgY6W1aDzoKZfMblr53FfOM+Mx0PIwIxO0PfngUEcRSmgtEU04B3Y1ro7dpXRaTIu6BiPTAO//+HTa9eIqETC71Wl9ZmVlPuta04LX/LiHhWHLlDj585MzVpprqWNWrA5oalx/PQVxyGrZdewY1BTk0tTCCtbnBd4P9CBCI21xTFg8BlMevAwoLzSkpyKJvuwYY0LExdDUlyx1bMZ8mxfeaij1uO/m40BImW60KRvRohhHdm4FYaUUlGdm5+HX/ZVDAK6UeU2ZalyaWAl1u+fX7OOPqwViqj476BS1MjVh7UmBSArVSWlP37t1ZQE5Fl4IJf+vni7tp0Tju64bkIkRnDobmmFq/Jax1yu9hX9F1WrT/xGR7PeQ9Lga9w9v4L0GIdAylHvcyqYuBNa0YwZs4S0p2NrY7O+GYu1sh/wmlFy+zb8d4UPiSjJxc/PXgOf5++abQSjW4qRXmdGgNZbnye/MnjogfEZqRZYUo7uf3bwdLA/5Tsb+dq9CoRJy44crYZCnTiISsUK0amzGQYmNlIo1D4WuB/+S64TFJ2HHmCR65fkn5b9u0JqufpK8tWlqDlIwsTN93Ge4hXDbfgv7tMKRNI4G0dNPLF7POO7I2Jts1x0yHLySFUmAikGor3skFE27y1yL8q8a9IVWtVBm9TOtiYr3mqK3Ob+ZDxdPoj3sclJKIq8HeuBL0DsHfxKRQBtOwWo1Ydo84M9D6JsRjxaMHeBnBuQEoCHVEw8aY2aIlVHhM/3b7EImlV+8iMD6R9YvMwMu6t0f72vwW4COL09DNp5mpmzb7Aa2sMK2bLVTFsK4NcV2cu/MGlx54IDXjCwlidS0V9GnXAD3b1IemmmQRDlbE50taRjaOXnXGmdtvWMA1SU0jLcwa1lYkvCTf6ig+JR2Td1+Ef1Q8+2lWLzuMdmgqkCpDE5LQb99JpOfkMMbnY6O+5gCSAhOB1FvxTi6YcIOtC6Cqo42htRphTJ2m0FdUqXiDqSA9JrO+Z0I0Lge/Y3E8CVlfYpCIYG5wzYYYZNFQbMncqP+O/n5Y++wRotLSmNY15eUx19YOA+rW5y0IOicvD/ufvcK+Jy6FpHld6lpgcdd20FbmZ0MlXT3yCsLGS48QkcC5RlUV5DC9uy362zYQS0tEVnYu7jn74dJDD1B2R4FQrRj7Jubo59AQ1nWMpIyy5fy8obpIBBwv3ndHSjoHHKka8ORfbNHTvn65rKXwhGRM3n2BBbqS+2bpwA5sHQsi2bl5GHLoLLyjY6EmL4fLk4dDT/VrN6IUmAii4Qp4bsGEr7l7BdPadKpwfCMVUOVfdTk7Pw93PvjjpN8bvIz5UPgb+Vgp9XiYZWO01Tcrl4dOaXVJBRX3urpgv9srFkFP0kBHFyvbOqChnnDKppe2T3R8QGwClly9i7fh3KaqIieL+Z3aoF/jerzFeWTl5OHYQ1ccvvuqsGoxuXXIBC4OacU/0rNfaCyzoNx68R4ZWV8y8oz01NC1VV10blkbhrqiSUEty9xL4jnkajvp+Bo3n3sX1kSqVrUKhnRpglG9mpdbsHJAVDwm77mIuOR0Fui6bkRXdGpcS2CVr7h+H6dduYJ++4b2gX0tjkG5qEiBicBqrlgNSPqEV6TZoOyn035vcT7Q86s4HwNFFWbFGlSzIZRlyi9uoqS6+5CchDVPH+FuUCA7hUAVscf+btsaanL8cPhQzMdpV3eWvUNxKCQ2pkZY2bMDamjwt5FGJaZgy5UnuPOWqwVE0s26Nmb2siszGVVJ50mQ46hg4B0nH1x84A6/0K8JFeuZ6zGAQoUDpa4eQbT89bme/pE44ej6VXAykaT1aWeFwZ2blGtwMsVJUUxJckYW5GSqYsvYnmhVx0TgwZ5+5c4Kd5JQZt3vndp8t01J36eEkpUj8GyIUQOSPuFipOoSd4WIzhxDfZkV5XVcROF5ytVkMcSiIUaLqavtcUgwVjx5iJAkjtNFQ04eC1q3YdWL+cpIiUpOBUX6P/YPZn0qKAo4yqaJyHgdSjLRzn4f8OeFRwiM5lLxKd14QqfmGN62SbmmPJekr0WPYSUogqJx/ck73HPxK6Q5p2MohqZZ/RoMpNg3rVlub/KlHYM4H0+A+vnbIBy/4Qp3vy/3vqaqIgZ1box+7a2gXM7xSc6+HzDj4FVQKq+yvCx2TuqDRqaCpyATJ9GEE5dYML2tWQ3sH9b3h/ekpO9TUmDyzV0p6RMuzg+hkvTt/cdYHPZ+xeJRcj9xGRMUnNzTtA7G122Oehq6JWmm3I7JzsvDATdX7HrlDHJTkTTVN8Cqdh1gyVP2DqPcf+eH1Y4PkZjBpTzX1dPB6t4deaW1pwyYs8/cseemE1IzuZgBfQ0VzOjZGp0b1+INzJV0sVDgJbHK3nZ6jyevA0HuqgKhlNWWDU1h19gctg1NoaHKb92lko6Jj+Noffp/iMftF+9x56UPYhO5uC0SE30NDOvWFF1sa/NCgEcF+eYfc0Rufj40lRWwd0o/1BJCZllw/EcMOngaKVnZLM3/zPjBUJX/MQmlpO9TUmAiBSZ8PHsEvmZsRhqO+rzGCT83pOR8yZhopWeM8fWaw17fjLeg0+8Njtw7yx8/wKMQzlJB2TtjG1vj1+YtoSQjI7A+ytIAFQXccOcJLr31LuzTGFtrTLO3Kbb6aVmuV9JziMZ7143nuPTyXWGZh4Ym1TG3rz2sTPiL1Slp/+k4qstC4OS2kw+cPUMY62iBUJBkXVM9ln5MIMXSWEcaOAsgMjaZAZFbL3wQHPGFxJL01rCWAWPkbd3IjDddXXrphZVn7rE1SYB539T+qKEtuBs0OTMLgw6eQUjCR6jKyeLshCEw0fw5XYIUmJTmbpSAYyV9wiVgir4aAhHgnQvwwKH3rxCexhGLkVDF5mkNbNHDuLbYBMrSm+DdoACsePwQUWmprJ+6ikpY2LoNetaqzZtFgEzIf1y7h/DPtPYGaiostbiNxX+D7spz/fhFxGHz5Sd46fclCLpjIwv81qO1UDaE8hrLx5QM3HfxwxO3QFbhuCClteD65JZo2dCEgZSmdY1EUuW2vMZa2uskJKXjnrMv7rz0/SrjidrRVldCp5aW6GJbB7WM+aNpoPnafOUJTj95y4ZnpqeBvVP6CyUGiqoOk/vGOSSMFTw9OKIfi/0qTiR9n5JaTL5ZAZI+4cUt+Ir6O9XqIWbZ/d7OcI//ktJpqqyOKQ1aoq9ZPbHhQ6HsnR0uTjj05jWo3yREzraybXuYa2jyMgUUELvzkROOOX0hjKPU4oVd2kJXhT9mYwJzz7xDWIBsUAzHyUIZEANbWWFiZxuoK/ETTFzWSSJLyiuvD3juHsRq9cQnpf+nKXJXUNXjBhb67Nu4ujpvoLWs4/zReUmpmXjjEw5iZ3XzCUdAGMf9USDKCrJo39wCnW3roJGlAe8vFcRk/PvRG3gTxJFBUsbY1nE9oaYo+Lqjtb306j2cf+PF2l7RwwGDmlqVSOWSvk9JgYkUmJToRqgoB9HN/io2HLs8nfA4Mqiw25TJM7meDQZYWEGuSlWxGE5gYgJz7zwP4ywC1SpXxkTrZpjalL/aO++jYrHs+n14RESzPinJymCWQysQeyyfVXcp/uSysxd2Ozqxiq2sb3IyGOPQDEPtG0FBlh93mCALiYuliMML92A8dw+Gl3/UVxXKC9pWUZKDVU0OqDSwqM7Iw1QrCCArDojQGCmrxa6JOTq1rA2bBsa8xI58bx7fBkdi7uHriEvhwOMw+8aY1dsO1apUEWTaC889+OwVNt17xv49pqU15nf+fgbO9y4mBSZCmYKK04ikT3jFmQnBe+oRH4Wdni9wJ+xLKqqOvBJj8B1q0QgK1fjfzArI2VY9fYjYdO4BaKiiguX2Dmhvaia4EsrQArGznnX1xJb7z5CWncNaaKCvixU9O/AaHEv9yMjOwbEHr1nV4oLgUg0lBYzr2IyxyMpWEw/QWQa1s0q4RODm4R8JSo19FxiNzOwvXClF2yQiMVN9DRYMSh9TA032Te4PPjK+UtOzEBKViJDIRIRGJiIk6iNCIhMQFp30H1VQtlJtUx00rm2IJrWN0KSOIRTk+L8XCzpK9yQFYW+8+JhZNOWqVcX/2LsK8Ciurv0Sz8bd3SAhQkhIQoIEhyItUKSl1Eu9pf3q7vbTfvWv1GihBYq7QwQCxD3E3d02Hv7n3GGXoEk2u5lNuodnnwnJzJ0z596deefIe95ZNRsL/MZKMq03PeZ4ejae/ecg+9tMNyd8s3LhoID/aH9OKTwm1y2b0T7hUvtmjaCBLtVXMQ8K9egRpSAaqmviMY8A3D92olx0hG7u6MBXF6PwZ1KC+K15jpMz3p4aCksdfliHq5pb8MnRcFbBQ0IPlPsCJuDZ0CBo8eyhIBf7T8cuYs/5VHE4zExfG4/NDcCSAA+pvdXyuczJS5RTXM1ACgdWylFec7WR6M1009JUYwRvlLdClT+Gulc+9DP9TlfA2FEFmqrsQUj9jGhebwZmCKAS3TsBpqaW9mu21LGXwlAcCKlDXeOtO8aLgIgIhFAiKzVHlEchsPvhPydxICaDe0kw0mOhG2lU3oiuN6W0Avf9vgPt3d2sGm7LQysgUBtcc8HR/pxSAJMRCky6ervR2NmGtp4udlNRBt1glFi1x7VbJRa6oN/92yW3sRY/pl7AnrxUceM9orx/2nMyVrl4Q10OQjxpVZV468wpJFZyeTICVVU8OykID/r48vawjcwuwHuHTomTY811tfH6vOmYPc6Zl7fzvuu4pKYB/zt6AYdiL4kBnY2xHp6YH8Q6u/IZfpLF941o2KlihTwTog/9/2a5KoM5P4EHAilEs6+sRJSAY9DW0SnusjzQscjzQZ4cuyueHAo7ebtZjQgOF6KXf/G3g6yPE0nIOHt8snb+TbtjD9Qe1+9X2tCElT9vRU2rkPWv+ufR1RLlcCmAiaQzMEKP43vCmzrbkN9SjbyWGhS11qKhU4jGrjYGQpqubOn/bT2ci30gooQxMFDXghF91LRhpK4NQ2mYUwgAACAASURBVHUt9qGf6WOrZQgrgQGU/wUApri5gYV4iFGWyIxIKAflOe8QLHUcz7Lj+RQqR9yeloLPz0WisaOdqeJqaIQPZ8xmHCh8CJFJ/RhxEb9FXU3YnebigDfnT4cNj8yxIlsQMdsPh6NwMulqZ1kncyM8uSAIM734B1CynrO+oZTSqkZQJRB5MepE28bWa3hVJNWHgIeetgZ0tTSgp6PJEnPtLAzFYMRYX4t3sCrJtYWl5uLtv44zJleSdXMD8Pi8IKmWJlc2tWDtph0orGtgLxzkKXG3kKzaiO/nlCQ2HswxCo/JddYargmvbGtCdnMlAyH5zTXctqUGdZ03ZukPZkKHsq+akgrstIzgqGMCB21jOGqbsJ/pd+rKg3M1DkWP4To2v6kOXyWexYGCdHGIx1HXEOu9p+AO+7G886DUCIX47FwEdmWkiU2yerwXXp48BXoatyZfkqX9sqtqGGV2bCHHwknMsU9MDcBDkydCTYX//I6M4kp8dygKZzMKxGZwtTTGI3MmYZa3y6jzoAxmrtvau1DX1MoAC4UsKFRDzKr0uf5nyrPQEqizrs/ErEpARFdLHSoq0kn8HIzesty3SdiOz3aH4eCV0A0lVH903zxMHy/dLtx1rUIWvqFu35Tk/t2qxTftgTOQa02vrsLOC+fxzuI7UVxcDGtr64EcNqL2UQCTYQImZcIGxNYWIK62gG2LhVzp461EW0WdAQIjDW3oqQqgp6oJPTVNttW9stVTE0CgrIZeXEbv5V729s9te5lbu5tte9HS1YHajhYGemhb28Ft62jb2YLmLu4t4VZCHhcbLUN4GljDx8AW3gY2cNY1HTXeFcpB2ZAYiRN9kmTHGZjiBZ8pmGXN/9t2dGkJ3jx9Ajn13Jox0hTgjSnTscSNH+4TemjtTUrH58cjQSRtJMRW+fYdMxDkaCsXN8CEvFIGUGJzSsT62Jsa4KFZ/iyJUVqVFXJxsQolJLJAeGoePth+Ulx142lnjo/WzIOd6e3JzQZ7sgZhOx74YycuVVazUPuXd9+Bue4ugx2G7d/U0YEl27Ygt7AAxe98qAAmEllxBB4kDY8J3bhL2xoQW5PPQAh9ytpuzE4n85hr6DHvhIOOMezJQ0E/a5vAWH34suvbe7pQ2FKLPBZCqkZeM7el33Vf5rrkXi9aKurw1LdiIMXb0BZeBtbQVR16bT+fSyaxpgwbEiIQWX71bXuiiRVenxiKiab8vpVQt+Kf42PwbfQFcedi4j75IHQmHA0MeTEb3XC/OnUW/8SliD1OCzxc8crcaRLFzWVxEXE5Jdh4/CIuZF4laSPWzgdm+LEkWSpVVci/ywKNre34fM9VL4maijIL+a0NnSh1j1pzewce/HMXUssqWTPPz5fOxyIvyap76LnyxKH9OJ6Xg8uNTSh4+30FMPm3LN2hAJPc5iocLU3B0bJUFLZeS6lM9qNQibeBNSYa2cPfyAEe+pYQqMhndjrp293bgxJhPQszXWqsQFJ9MZLri9HSfZUCvu+6cNU1Q7CJC0JMXeBjaCs3hGaDXbsXKoqwITGC8aGIZJ6tK16aMA1OevwQoIn0oIaA74SdQmRRIfuVmpIy1vn54wm/SdBQ4SfcllRSjvcOnkZ6BZc0SBUGT08Pwn0BPnLjmaBusL+ciAa9JYuEep3Qw4jKjLXkqFx1sOtVsf/ALRCWkosP/jmJmiauimi8nTnev2cOKB9J2kKl9o9s3o3EEi6R/aPFs7HMd7zEp6EXk0/ORrDjn3Adh5fn36EAJhJbc4QdOFhgQgmqR0tTcbQsBTnN3I1ZJBpKqvA2tIGfkT0DI+RhGOm5GhQaosTcxLoiBlIS64pR0HoteyNdP4WiAoydGEihj5kmPyWvki4/ejs5VZKDT+PDkNPIgUxyw65y8cFz3sEgPhS+hHQ7lJ2JDyPDxNwndnr6eG/6TEy1G3rrdUmui3IUtsYk4+vTUaDSZxJHY0O8MX86gp3sJBlSJscQzf2vJ2NwPCFLXMVDHWKXBY3Hqik+sDAcWetUJkYahYM2tLax7tWH4y6xqyMvyVMLJrPu1cQkLG2hZPFH/9ojzsWiFg+r/b0lPg2Fc+/d/Q8L1893dsWrnj6wtbVVABOJLSrjA3t6erBhwwYcOnQI6enp6O7uhqenJ9555x3MnDlz0GcfCDCpaGvEsbJU5h1Ja+SoikVCFS5zLT0wy8KDeUdUlUa/q5gqh8ibcqE6F2ersm/qLXLRMcMUMxeEmo2Fl4HNiMncJ4Ilqt75MjESVW1cl1OBiirjQHnUfRK0eCRpo3jzVxfOYXNyInvITrK0xtZlKwZkWwISsiilrW5uxYaTZ1kOikiorPiVOVNhbaA36O+jrA4orKrH76dicSAmHcQXwoCn0hhWwXPvdF9Q00A+iMpkdb3/1nFpbvddTMP3h6PEjMHUCJK8JA5msgmBdnR144mt+xCVx4UPX583DWsDfSWegurWVizcuhnVwlY46Btg78p70VhdDRsbGwUwkdiqMj6wpaWFZSXff//9mD17NlRVVbFp0yZs374d+/fvx8KFCwelwa2ACb2lXqzJw595Uezh21coIXWWhTvmWXky78i/oeT2dkYtbq1jNjpblYXomnx09F5t/07HWWrqY46lB+ZZemKc3sh4AAi7OvFbRiz+l3YBLV1cqbaxhhae9w5hHCh8lhinVFXi/fDT+GTmHDj302uHaPAPZWehrk0IbTV1/GdyyKC+HwPdOaG4DB8cPoP0cs6LSNU7j4b445Fgf8akKS9S2dCMbZFJ2BmVjCbh1RAlufjXTJuAWT4uchOOkhebjQQ9RD2WvtofCSolZ2tQlbwkwVgzfYJMQDmdo7O7G09vO4CIHC5P7T+zQvBIiL/EJqMXo/v27MDF0hJoqKhg94p7MNbYBAN5gZb4pHJw4IivyiGPSVNTEwwMrmZS06L08/ODrq4uzpw5MygzXz/hnT3dOFKWgj9zo1h5r0go+TPUfCzmW3oi0MTxX+EZGZQhr+xMibWU/EtAJaIyk+Ws9BXiTyGAMtdyPFx0zSQ5xbAeU9suxLfJ57AlM4FVPZG46ZvgLb+ZCLHkJ4xCOtCa7+8Nn1hlD2dnsdbqd7i44a+UJJQ0NeGXxXdhnLGJ1O1IXpmd8an46tQ5NLRxlV/Uufi1udMwc6xTv/pKXaHbDCjs6MLBmHT8HZGI/CvNAml3Uz1trJrijaVBniOuYeBw2k+ezkUl41/ui0R0drFYLfKEPb94iky7UhMoWb/jME5l5rLzEkPyk9MCh2SaT89FYGNcDBtjw+z5uGucO/tZAUyGZFb+Dn744Ydx9uxZZGZmDkoJ0YSn5GQiqqcMWwuiWWmtSMbqWmCt02TmIdEYhdwegzLWIHemh2dGYzkDesdKU1HR3njNCE46pphnOR6LrH1gKdAf5OjDu3tBUz0+TwjD4cKr64tKi1/3mwHiQpE3yamrxaKtW/Ck/yTMsHeEhykHAonIzVggYL/rD9hIek1UvfPNmShsi00W53VQ3gkBFGdT6ScdSqonHUecHuczC7ElLB5Rl7gEYxIqL57h5YRlQZ7wd7GRKvHWUPRVHHvVAuV1TfjucJSYk4T+QmGbF5ZMwQRH2RITtrR34JntB3A+nwND66ZMwvMzJg/pO3UiNwfrDu1j4xF/0UczZosvVgFMRuDK7+3thYeHB9zc3LB3795BXYFowr02vYDLhlrs2DEYg2lmbljrGMSSWGV1Ax+UoiN8Z0qiTa4vYUnDx8vSUNMH/JG9g0ycsNR2IkLN3eTaGxVdWYz3Y04itY7zpqmMUWL9d571CoaeOj8kaDdbGg/s3YXIogLc7T6ebSfb2OHjGbMZiVxbdze01WTfRO1SRTU+PHwGsUUcORtLJvb3xtPTA2EgkL9ScwoB/B2ewB507V1Xw5HUP+WuwPFYHODOPCoK4dcCzW0d+O1kDAOTnd0cvQHN0XOLQjDbx0Xm92vKq1r3115xVdrjUybhuSGCksKGBizetgXNnR0Yb2qGHctXQb0PgaECmPC75iQ6+9dff43169cjLCwMU6fevpU0hYHoI5Ly8nJMmjQJY397DjqmRlhiOwH3OgTCXttYIl0UB/VvASKEI+I5Sig+VpbGqPdFYqCmhcU2PgykEN+LPAolnu7KTcHnCeGobuOYew3UNfGC9xSsdvXhNf+EdDlXXIjHD+7DB6GzMd/Zhd3gVuzchge8fbHAxXVYTUpes4MpmdhwMhIVTZwnUldDHU9NC2RVC1QtIW9C7KBUzbH7fCoyS6vF6lGy7BR3B9wVNB4h4xxkUt0hb7aQJ33IQ7I1MpHNC4ETEj2BBqOTXxHiDdVhWEsFtfV4dMseFNc3Mp6S1+dPZ40uhyLt3V1Y/s9WpNdUs5ebA6vXwFr32sRxBTAZioUlPLaxsREEEPoTBwcHqKtfywMSHh6OOXPm4LnnnsPnn3/e3xB499138d57792w32cRO/BYwALoqwn6HUOxg/QsQDkpp8ozsLsoFjG1V4nO6Ay+hnZYZjsRsy095DKMRgy7/0u9iI1pF9HZy725ueob422/Wbzmn/yeGI+IwgJ8OWc+DDQ1WT7KC8ePwFpXFy8GySb5tb8VQeWU1Hfn57MxrMsqib2RAV6dOxXUg0cevZJkt/TiSvYgPBKXidaOq/2qTPS0MN93LOZOcIWHrZlc6t/fnIyUv6cWVmBzWDxOJGahp5frdUWA9p6pPnh49iSpNt27nU2oSzB5SuqEbYxm/vOl8zB/vNuQzEhr7OWTx8RtKH5dfBdC7R1vGFMBTIZkZskOpqqaBx98sN+DExIS4OPjI94vOTmZeUjmzp2Lbdu2DejmcCuPyWjtQdCvUeVoB2Ke3VMch33Fidfk+eioamC5rR9WOwTAXFN+SlBFpituacBn8eE4WMC1TichgrY3/GbARnv4c2fOFOThf7HR2L58FdOFWGSJE2GKrT2eDQjidcYrGpvx5amz2J/M8UuQUP4JARQXU/n0kJGOwo5OHE/Ixu7zKUgquPYlisIIBFCou7GLpfGA7kO8TsIIODklUoel5GFzWBwS8q5SNOgK1HH3ZC+snOIDM/3hC6udzSnEs9sPQNjVBS01NXy/ahECpdCO4fuYi9hw/iybkaf9A/FCUPBNZ0cBTEbAoiUVc3NzERISgnHjxuHo0aNQkzBmPtonfIRM5zVqdvX2sIqeXUVxOFeVg8tXCNCpLHu2hTvudQxi1PjyJrFVJXgv5iRSaiuYaurKKnhifCAe9wgYVpbWvPo6rDu4D/6WVgi0tsHJvFwkV1bgzP0Py81Dk9hjPz4aDtqSUO7LiomeLP/EWJvL9ZJXySmvwYGYDEbaVlZ3NSxM+hJXxrwJrpjr6yYz3gx5tYs09KIQDXHN/BWWgJLaq8nytsb6jBxt0SR3CNSHl/H4QHIGXtt7HFTKa6wlwMY1d0ncJbivjfZnZuD5Y4fZr+Y4OeOHBYtv2Uh0tD+nRny5ME1iRUUFgoODWXkwhXJoK6mM9gmX1C7ycly5sAHbC6OxszDumlwUT31rrHEMYtVSqkryk6dAb3r/5CSz/JP6Di53xlpbD2/6zcBcG9dhAwbExvp+xBk0dbRjnLEpQh0c4W1mfsO0DqTsWFZrgc59ODUL/3ciEuVNzew0RG9PnYsfDJoILXXZJ+gO5dpI/5TCChyLz8SxxCxUN17bKdzFwhgh7vYsL8XLwULBj3ILY1PpdnhaHrPj2fQCdPVc7dfl52yN+6b7YqqHIy+VUb9HxeGz4xwtvJ2hPn5ZcxdsDIfuBY0pK8F9u3eyELCXmTm2Ll0BTdVbA67R/pwa8cCkra0NQUFBzGOyZcsWmJldy4URGDi4OvLRPuFDufHK07HC7k4cLEnClrzz11Dim2roYrX9JCy38wN1X5YXaehoY+yxW7ISxCWzUywc8M6kWXAexv475HoW3OKGF16Qj01J8Xh32kzY6Q/9Ziup7Sn/5I8L8fj5bCxaO6+Q2WkJmPeEeo2MhM7AVHZMHY6PxmfiRFI26luuJnSTXbQ11BDoZosQdwcEj7P/11f3EFvquYwCZi8CJe2dV6ugiLxwzgRX3BfqC3cbfriOiEH2ixMR+ONCAlvW4y3N8NM9d8JIe+j3GOp/teyfv1Hf3g4rHV3sXnkPTAS39xKO9ufUiAcmBQUFoCTYWwm9xQxGRvuED8YWI2FfKjum8M5f+ecRVc0RG5FoKqthhb0/1jpOhomGjtxcSnpdJd6NPoHoKw0Cqbz4wXF+rP+Otip/DR2pEmDulj9Q3NTIQk5PTwrAIxP8rilRHG4j1rYI8UPERWyPTWZucxIHIwO8MCsEs+SMoO12tqGHWkx2MXvgnksvQFHNjZ3G3axMGEAJcLWBp53Fv6KpIHlG4nNLcCwhC6eTc9DSfjWZeMwYwN/ZhuXpzPR2hr4Wf+XkNS2teGHnYUQXcE09Q5zs8PWKhVLx4NW3tWHZjq0gcKKjpo6dd6+Gi1H/3D6j/Tk14oGJtG+Wo33CpW0veRqPmij+nXcBB0oSxTT41NH5TpsJeNA5BFaCq+zAfOpNYHl/fjo+jjuDyiv9d8w0tfGW/0zcYTd22MI7fW1AOu29lIGPz4ahto17u3c0MMAH02chyMaWT3OhsLYBX506i6PpV1tBTLCxwEuzp8LX1pJX3SQ5OfXpOZtRwDwEsTnF6Oi6Gqqg8Si/xtnCCN4OlvB2sIC3vSVsjPV4WReSXN+tjmlt70Rifhlic0rYJ72oUgw4Rcf4OFiwfJzZ3i4wkQOOGGqt8Nw/B1HVzIXlVvl54fV506VS1t7R3Y21e3cipqyUUQr8vmQpgm0G1vBytD+nFMDkum/RaJ9wad5o5HUsYuqlEM/2gmi0dHP8BpQou8DKC484T4GDjvTp1yWxBZUXf5schd8yYtB1xSMQYmGP9wPm8MYe29Dehi+izmJrarL4ku50G4fXp0xnDLF8CiXGfnEiUtyxlXSZ4eaI50Inw81cPuZ0sPahsFVcTgki0wsQdakARdU3elNoTANtTdZYkJhMXS1N4GBuCEsDXV7yLAZ6jY2t7UguKGfgKyanBJdKqsTlvX3HGGttivm+bixcYykn3Z0JqP8dk4RPj4az7yb1enpv4Szc6cNRwg9VRCX7+zK5yr3PZs1l5IcDldH+nFIAEwUwGeh3YcTtR0Rt2/KjGUhp6BIy/YlVlhoIPuI8FW56NyZ/8nGROQ01eDv6BKIqOAp0NSVlrPMIwFOeQcNavdP32uPLy/DmmZO4VMMRihHR0yvBU7DCw/OWlQLDYTu6oZ/JysOGE2eRW1MnPuUCD1c8HRoER2P5awcwGLvUNrUiubCCeRaS8suQVlQpZjO9fhxqhmhnagBHM0M4mhuxLQEWqlgZDnIx0odyacrrm1BQVc96DOVV1qGgsg75lfWoa+G+c9eLo7kh/JysMdHZGpTMaqwrX1VXBBbfPXgK+5I50GBjoIdvVizEOAvTwUzlbff974UofBN9nu3zlH/AoPmEFMBEalMxMgYa7RM+MmZBulpSouyuwlj8kXcOVe1ctQfJTPNxeGrsTDjrSO+GI6nm9MA9UJCBD2NPo+pKeMdWWx/vBcxGqJWTpMMO6TjK69iUGI//XoxifA0kEy0s8eGM2XAz4pdjhPI29idn4PvwCyht4Ep0KQRyp7c7npoeyJoFjgbp6u7BpdJqBlLok1pUeUNJ8s2ukxhQjXQEMLzyoZ9FH0NtAQQaaqwlgJLSGNZpl2xHTLbsZ6UxLGxEoRfyejQKuQ8x4LKfW7mfq5taQWGpvnT9N9OFwlJ+zjbwc7aCr5M100NepbiuAc9sP4hLlRwgJ7I/Ik7T05ReewkKmb5wnCsLXujihv/Ou2PQYH+0P6cUHpPrviHyPOGdvV1o6RKiufvKp6sVHb2dzAugNIZuLkpQwhgWthD9TFtNZQ3oq2lDX1UH6sryXXIpyxsWdYreV5yAX3MiUdbGuczJdndYeeEJt1DYaPH/tt3U2c6qd/7MjBdX78y3dcPb/jNhocXPw7a0uQnvh5/GiTwuuZji4Q/5+OKZSUGMXIpPod4o1MH4x4iLqG7h8gCIhXOFnxfWTfGHqc7wkW4Nlx2I3I08FHkV5JngvBS0La5uuCFnY7h0ovOY6+vA3syA8bU4mHLeGyqRpjDUSJDI7AL8Z9dhNLZz4V+qAntyaqBUw2UXS4px/95drCzY19wCfy1dIVGCuTw/p6Qx1wpgIifAhKpLqtrrUdJWiWIh9ylvq0ZTdyuau1rR0i1ERy/31joU0VRWh4GqLvSuABUDNR0GWCw0TWAjMGMfDWX+qkOGcm0DPZYI2/YXJ+KnrDBxh2OqjrnTxhePuU6TCzbZ1NoKvHHxGJJqOMIxgYoqXvSZyhoEEjDgQ6jb6bvhp1DewvW4sdDWwdvTQjHH0Zn3xExyv1NOAFHcN7S1M/00VFRw7yRvPBzsB0Mt+X1Ll9ZckneluKaBEZHVNbehtrkVdc1C1F75UGiFfm5obcNgihV1NNVBDKvkhdEVaLAtffS1NWFvygER2grknGfmVnbu7O7G9+EXsTEymlE36qirMy9JqNuNVPBDmavEinLct2cHWru6WDuI3SvulThvi5jJbW1tMVoZyhXAhAdg0tDZjLSmPBS2lolBSGlbFcgjMhgh/4iGshpjQiVgQ83wqKFcL7jSSknFVN1QDFJsBObsZ1uBOXRU5SsWLOn1iY4jD8qOwlj8nB2Ouk7ubZuqeFba++Mh5ykwUuf3bZvI2bblJOGz+DA0dXJvcR6GZvgkcB68jC2GevkSHU+8It9Gn8dvifHit3Pq5fHutBmw0eO/PQC1nyeuid/Px6HlSi8bAigr/bwYUZuZLr9zKpHRpXwQhcHI00T3DMoRoX4z1JG9h+4d7P/cfURbQx0ESlSU+QHCUr7smw6XVlaJV/ceQ3ZVLfu7i6kRvlu5GHZG0uXxSauqxL17dqCpo4OBkW3LVsLRQDIP7dHCTPx2/gx2rH5CAUyGY5HIwzlk4SIjIJLamIMU+jTkoFB4+waFJuoGDAxYapqCPBo6KgLoqGhBR1UA7T4/C5Q1bvmmehWo9KK1px2kQ2NXM+o7m9HQ1cz+L9rWdTahrK2qX4+MlaYpxuk6wF3XgW2tBWYsZDTShXJQtuZfwO+558RsssSDssYxEA84hYB68/Ap1LH4o9jT2JufxtSgfIC1br7Mg0LcB3xIZm0N3jpzErFlpez09PB/yj8Qj/r6QU2Zf+bdemEbfjsXi7+ik8T5MUTMtnyCB/OgWBvwD6L4mDfFOTkLEDD7X8RF/BQZzQAZyZpJPowjh9iGpSlZtTVYvWs7I1Az0NDA38tWSpyjVdBUj0WHNqG+sgql6z9VABNpTpQ8jyUNYEKhl8SGLKQ0ZDMwUiTkeqX0FfJ2iEIn9ICnn601zWAtMOUllEJAprqjnunKhZJE20oWRrqZaKloYpwOB1Lo46Zrx4vu0lpPVMWzOTcKm/POQ9jDkT0ZqAnwuGsoY5Llm+r+bFkB3rx4DAXN9Uw34j4h5ljKQeGjGy+9Ve/KSMOnZ8PZTZfEycAQ70+fyTv3iWhNEEDZfCEBmy8mgmj5SSgUtthrHB4N8YeDsXxw20hrDSvG6d8CGeVVzEuSWVnDdrbW18VHS+YgwEH6/baoT9WqXdtRIxSyl4i/lt6N8aaSsdcSCeJdRzYjo74KguZ2ZDz9ngKY9D/do2MPSYGJsLsdF2pTEF4dh4T6Syyscj0QcdGxgae+Czz1nOGu6wiBCr9v4gOZMaoWIc9KXkspMpry2SezuQBtPdxNvq+ojFHGeD1n+Bu6w9/QA5aaJrw8MAdyXbfbp66jFb/lRGJrwUVQPgqJnZYRnh07i/Xi4QMEiPRt7+nGDynn8WPqeTH3yQwrJ1a9w0fnYtKL2Cu/iIrEtrQUsVkXu43Fa8HTYKYtH6GT5vYO5j3ZdD5OnINCnqd5Hq5YN2US3Mz4rTIa6ppVHN+/BajnDnlI/hcRLQ5D3uPvjRdnhUiFxfV6DUqaGrFy5zaWk0VtIP68czl8LSQnBHw16ggL7ZJ8Pi4EKydNUQCT/qd9dOwxGGDS1duN2Lp0BkYu1qZekyNCHpGRCEQGMosEugpby5HRlIf0K2Clsp2L0fYVCw1jBlAIqHjqO0NVSbou0oHoOpR9SoX1+PbSKRwuvUo25mNgg/94zIMXz92Mcxpr8caFo7hYWcwuUVNFFeu9Q/DQOH/ekmMTrnCfZFzhPtFSVcVzAZNxv/cEuelv09rRiX/iUvBbVCyq+/BsBDvZsRyUyY62vALPoaxXxbG3tgB5R17dcxQZFVwZsKWeLj5eMhuBjrJhNa5oacbKndvFLR42LVmKAGvJPTK7clPw4rlDTHfiN1pt4gQbGxsFMPm3LPr+gAmFPNIb83CmKhZnaxKvCXMQGPExcMVUk4kIMvZk+SD/FqnraERCQyYDanH1GWjtvrZpmYaSGnwM3DDZ2BtBRp4QqIyMEkKav7SGUnyZfgwxtQXi6Zxv5Ynnxs6GpaD/JDnywBiqSz9xmLxZu/JSWf6JqHPxeEMzfBo0H+ON+CGPI+6TLcmJ+PLCObRcacBHnCcfhM6Cn6WV3HwdqGncroQ0/HIuBmWNV7ltyHNCnYwXjHeTCu243Fzwv1QR8pRRLsmfFxLEHsaVEz3x0pyp0JZRFVGtUMhySnLq6xhZ4sZFd2Kqnb3EM5DdUIPFh/9AW3cXAs1ssWX2KlSUlSmAicQWHYEH3gqYkHckrCoOe0pO35C8OlbXHtNN/DDFZAL01eSnYRxf5u+53INLTQWIrktDTG3aDfZSU1JFgNF4TDOZCD9Dd6gqqfCl6oDPSyAgoiqLAZT8Fi42PcN8HP7rv/q2Y1Deyo+ZZ1DT0YInXUNlQodf1y5kxGy781KZLkSc9ah7AJ73DuaNObZa2IrPzkZg96V0sX2Wu3vglclTYcQztX3f4EpyhQAAIABJREFUCSP3/vH0HOZBSSuvEv/JVEcLawMmYMVET+hKkVxrwAtOseOQLECVRzsTUvHN6SjUCbmXJDMdbZZLEuI8sH40kihAVTdrdv+D1Ooq9j38fsEizHFykWQodgyBkSWH/0BWQw2MNQQ4vOghmGpqo78XaIlPKCcHKsqFr5uI6yec3vyPlkdhX2kYajsbxXtTomqoqR+mmU6EhaYiPn279VzVXsdAysXaFCTWZ11TzkxepWBjH0w3nYjxek5yX+VDOSfEIvtTdjh+CXoATv2wxta0NzMg8+2lkygVNuCbSffAQ182noPIsny8duEoSlq4dWqno49PguZjsrnsbsT93ceIUOrtsFPIruNCfURt/3LwFKzkmdr+er0JeMYUljKAEpaVL/4zVWjc7euJ+wJ8FJU8/U22nPw9KrcQnx6LQFYV9wJB1VgPBE5guURUAi0rIQ/hQ/t3iyvVvpwzH3eOHVpvnVeiDmN7TjLGANg8axVCLDnPiwKYyGoW5XRc0YQn5aQidkwOjpSfg7CHqzggoTf9ZdYzWfIqn0mQcmq+ftWiMuXI6gSEVccyr0pfMVLTY0BvjnkQq1KSZyEPWn+eHnrY0RopEzbg7/wLjA7/La9FrPxY9DdpX6OwqxNfJkXit4xYMXPsSmcvvD5xBgMFfAh5JX5PjMfXF6PQ1t3NVPAxs8C702fAy4yfkNPt7JBbXYtN5+OxLykDnT1c8jM9GEKc7Vl3WaIpH83cHnysEWmcM7+mHp8fj2C9lEQy190F/5kVAhvD/kOuQ9GBEsAf3L8byZVcBeZ702fiPi+foQyJvXlpeP7sATbGs16T8YLPVPF4CmAyJNOOvINFEz5758NQNeFyRKjaZIaZP+6ynsGIxhQiHQuUt9UgojoeYVWxN5RUU+XSfItgTDb2GnDSbHJDNuNqCTGeIFegkbocR1RmYpV9AKaYuaKtuxNZzZWIqcnHQmtvmTDNEmPsK+cP41I9l+xnrKGF9wNm81ZaTDoQtf2HEWE4lpstfthTU8D/BIXIVXhHtLprWlrxd3QSY5QVscnS3ygksNx3PO72HQ9zPUXoVjp3A8lHaWxrxw/hF1jVFeU4kbhbmOK1udPgb28t+cADPJISXYlmXuQVfGtqKB708R3g0TffLbexlvGVCLu7EGBmg79nr2Z9jESiACZDMu/IO1g04aE7HoSxhQkWWAZjseU0GKorCJlkNZvkPShoLWMJxWeqYkCEbyLRVdXCbLNA3O+wEMpjbk3c1dXbhWMV53G6MgYEeJ5xXcUSbfkSkUckqa4If+VfhIWmHta7z2HqNHYKEVGZhciqbERV5+AehwA86TZD6qpS2GljWjS+TjrLenOQzLZxwQcBc2Au4O+BeqYgD++Hn0FhI9eviPgd1gdOxhovH94qim5nfEqUPZ6Rg+2xyYgt4gjlSKjcONTVESv9PEFVPX0fHFKfTMWAN1igsqkFf16Ix/a4FDHLr4m2AOtnhrBmjtSMUNZS0FCPtXt3oqSpia2HT2fOwXL38UM6LfGV3HnkT/ZSYUR5JQsfhNl131cFMBmSiUfewaIJ3xi9DfdOWDIiuEZGnpVvrXF3bw+i61JZCC2+/hLbkZKLN/i80O9lUhlzVE0i9pdGYKqJLxZZXXV99nuwDHZo6BRiS9555DRXYf24ObDTNmI04MSWS9epoqSMEmE9Xo77Bw86hWC2pYcMtADymurw6vkjiL5SWqyjqo5XfKfjHlefQXc1lZaCHd3dLLzzXcwFMTOrq5Ex3pkaKjfkbDe71uyqGmyPTWFhHhFhG+1H3YyJtG2R51g4mkhGNS4t2472cXKqavFbVBwOJGeIK23UVZRZNRWR5mnJqNrmertSWfz9e3cy8jSqvvlm/h1DSnSl8emF5rXzRxlfCcGqP2atxFRLhxumVAFMRvsqv+76RvuEj6TppCaGR8qj4KZjh2CT/uO1lPexregYSoSVeML5bnGF1P7ScNR0NGCV7RyZlynTjSW6Nh8Bxo44X52Dv/IvYKqpG1bY+99g+vaeLmgoq+LrjBOs2/FnvnfLbHqIpXV7dhI+jjuD5i6OHM/f1JolxzrrGcnsvP0NTG7wT89FYH8mB0JJFji74rUp02Clw0835f50pr9T08DDaVnMi5Jcei2zs7u5KRZ6jcUd490UvXkGYswB7EPfq7iiUvxy7trkZGq4t8rfiyUnD2cn6bjyUjy8fw/rfUPkaT8tXIJgm6Enmf+eEYv3Yk4yixBfyUsTpt3UOqP9OaWoylEAkwHcFuR7F1HYJLE+EwfLIuGl74LFVtwXur2nA4/HfswSVSnxlkq677dfCD0ZlXV39HTh1fhdOFeVDU8Da7jomuHV8QuYLuTRIV3JU9JXloV9jxBTFxbqkVVSrOh8lcJmvB19AseKstiv6E1vvc8UPOo+idcwSkxZCd4LO430K+Rs1Hvnaf9APDxhokRt4YdzxaaXV2F3QhqOpGWhtvVq+wZ64w1ytGWelNnjnIftTX44r13W56LvA1VJbTwbjYTiqz3GzHW1cX+gL8vzkWWlzc2u71xxIR47sJclcutraOD3xUvhbT70pppUVXf/qX9Y0vp0K0f8Err8lt9JBTCR9cqTs/FH+4TLmbmlpg51Zt5RdAL5rWV40vlucU7Q1sKjyGouxDvj1zGvyc+5u1kvoK8mvAh1ZTWpnf/6gXYVxuGbSydgqK6NXdOevKEMmnJPiBclsa6IVetsCn54WLsZU4fSt6KPgxoEkngbWeDzyQvgZmAiM5v0NzDrppyWgg3nz6LhSu8dOz19vB4yDbMcneQqoflm10LcGefzi3Aw5RJOZORA2Hm1W7imqgpmuDlh1lgnTHG2H/aHaX+2l7e/F9TWY39SBvYnZ6Ck4WrOGXX/fSTYD/M9+CHAo/yoJw7tZ9VaplpajGaeQpBDlcLmeiw+9AcaO9uZB3P3/Pugq3brKrrR/pxSeEwUHpOhfqfk4vik+iwcKIuAh54jq54SeSheSNjAyr3Xu94Ldz1H9nvyomgoq4vzPWR1AeQ9eStxD9SVVfGI81QcK0tFZXsjEuuKcRmX4aZrjunmY+FnZD+soER0vY0d7Xg/9iR25XLEbKpKSnjWKxiPjw/ktWFhXZsQX0SdxT9pKeD6vgIhNnagagcXI/7CToNZJxTqOZ2Zh31J6TiXWyjuYCuyM1WLEFAJdXNk+SkKARqE7Tialom9SRlILLm2A/sEGws8FjIJ010deAOoR3Ky8PzRQyyvxVJHB3/dtQJ2+kMvQ27p6sDSI5sZiZqumjr2LbgfDrq3z1NSAJN/2TdmtE/4aJpOyimhcmNvfVdE1SQhtTEXDzsugZmGEQuJtPd2olRYhcSGTFCeCZV8r7G744ZQiqxtQiRrB0qS8N+MEyAq+5c95rOuxfLCg3OmJJcRs1UIOWp2dwNTfBF8BzwM+eWSSa2qxHvhpxFXXsb0IiZN4oag/jt6GvxwskiyVqjs+FBKJvOixBeXifllRGONNTPBDDdHBlI8LMyGpZpEkuuQxTGd3T2IzCnA3qR0FrIhzhuRGAg0WZ7OEu9xGG9pxtv3he4lP8XFsEaVBJTJi7dl6d1SyYGisM0T4XtYaJWqen6bcTcL4/Qno/05pfCYXLcCRvuE97fgR9LfO3o68X3OP6xEWEtFEwssQlhZ8c0kt6UYP+fuYWXEVpqmvFzmX3kX8L+sM7jL1hfPj5stVyy3TZ3trOcOsUySqIxRwpOegXjKczLUlflrGUAPhQNZl/DZuQjWpZXEQEMDLwSFYJWH54gr0a1vbUN4dj5OZ+bibE6huCKp78N4oq0lJtpawc/OCuPMTUcVmRvNZ1FdIwt5Xcgrwvm8IjS2X+1UTiytM90csdh7HAt50f/5FKoee+P0CXFrhXHGJvh9yVKYakmnazaV8n+VdJZd4qu+05m3ciAy2p9TCmCiACYD+R7I9T5Eef934VGcrLyI1bZzcYflFHRf7oGxuj7r+Ey9eYTd7Xg45j28Me5hjNd35u16qKHfW4m7EVNTgC1THoWrrnwR9lECHpUWl7ZycX1XfWOWe+JjLHm7dmkYW9jVhZ/iotmbq4iNlR4Sb06ZLtflxbe7duJHiS4oYSCFwj6VzRzw6itEie9jbQF/O2tMtLOCl5U5NFT5A4qSzCV5jM7nFeNCPgGRYpQ1Xs0ZEY3na2PJPCPzPFyhJye9iajf0xMH9yG+ggsrzXFyxobZ86GlJp3ctONFWXgsbDcbe7G9O76esmjAXiEFMJFkJY7gY0b7hI/gqelX9ZqOeiQ1ZMNFxxY7i09iqfUM2GtxD9TI6nicqLiIVbZzxbkm/Q4owx3iawthqqkLa4GBDM8i2dAU8/48Phx/ZsazAcjFTFU7671DeGsKKLqSkqZGfBwZjqNX2GPp96H2jngleIpUkhAls9jQjyJPwqWKasQUlrCePXGFpeLmc31HpzwgB2NDOJsawdXUCM4mRnAxNYa1gS7v3iO6BqpKyqmuA3GN5FTXshLf7CquT9I1gEtVlbGyBjrYYOZYJ9jKmDJ+sDOUXl2FRw/sRXkLF958yj8A6wODpcb7Qx2D7zz8J1q7O1nIdOe8NdBUUR2wmqP9OaXwmFy3FEb7hA945fezY8/lbpQI82CgZgJdVfl6uBILLIVtTlfFYKLBONZGYFfJadxjN4/14SE2WXmXjVlhsNDUZ5T1fOWiXKwswitRR1DQXM/M5aBjwLwn/mY2vJvvfHERPowMA5FcicDT8nEe7OFhpi0dNzufF0kP+fzaesReASnEOFvapzrlet2IYMzJmECKERyMDWCiow1iQTXW1oKxtgCGAoFUQkJUedTU3s4SVcnDQ+CDQEgugZHq2muo+/vqqKKkxDw/gY42CHKwhaeVOdRU+A3T3Gp+qWXCC8cOs3JgNWVlfDZrLpa4jZPacqCkc+oYTN8rQ3VN7L/jAVhrD45ZfLQ/pxTARAFMJPrC1XRU4GTlbqQ2RsNUwwrLrR+FpSbX+VJepLlLiN0lp1m+hJXAFNNN/eRFtdvqkdpQijWRG9GLywg2ccbbXothIRh69r8kF09t179MjMSvGTEsaZO4Oda6+eJl3+nQUpWOS1sSvegY0mffpQz83/mz4jdb4j95ZIIf1k30l5rLXVL9pH1ceWMzEovLmAci+wogKKxruCGZ9mbnpXkz1CKgwoEVLTVV5mEhbxiBBqJvVx4j2o5hYLilo4MBEOoT1CBsY9umPvkgt7s+Yy0B8+pQjkyQow3LmRkuRlZJ7U5g8IfYaFauTmIi0GLEaT5S4CgR6UQl8Q+d3onwsjx2X9oyexUCzW0HrbICmAzaZCP7AHmacPJKtHa3oLW7Ca09zWjtbobwypZ+pt919rSzm4gSlFky5Ri6udC/K1v6v4aSgHk1dFX1oatiAB3aqhpATUnyFuDNXY3o7G1HYkMULjUnYqnVw7DQ5L5gPZd7UN5WCC0VXRioDb3GX9YrivQ9VRmNUFP/fjsGy1oXGr9UWI8PkvcjqjqXnU5bRR0veczHnTb8NSdMqC7Dy1GHkd3ItZK31dbH/wXfgUly4D2hBMVNSfH4ISYazZ1cIiVxTLw0eQruGusuNff7cMz9YM9BeSrkWWFgpaqGeS2K6hpQ0yK8pfdisOe43f4m2lpwNuFCS04mFFoyZFuqqBlJQtVAb545iR3pXOm8h4kpNi68ExY60u0p9XHsaWxMj2bneH/SbKwdO1EiM8nTc0qiC+jnIIXH5DoD8THh9GCs6ShHeXsxKujTVsS2tZ2VjO9CVqKhpAkdBlgMYKpuCXMNG1ho2DKAoancf7iD3jCOVmxHfVcNVts8JQ45/FX4DRq6alHVXgoNZQEWWd6H8Xo3UrLL6roGO+6hskj8kLODVes84ngX/A3deQufiHQn2+4vScTnaUfQ3NXOfj3NzA3veC2GsYZ0b5YDtVdHTze+TY7Cj6nnGS8HvYU/NM4fL02YynvuCV0DtZ6n3jubkxPFXWa9zMzxWvBUBFjzH34aqJ2ltR+V4ta1ClHd0sqACiWh0pb+39bVhd7ey8xO5HmiN/me3suMnZi29DsddTXoCzShr6nRZ6sBfU1N6As0YKQlgI6G5C830rrOoY5DXa+Jn0RUlk5Jrl/OWcCo5qUpmy/FM1JDkhXOXvgsaL5E9xnqt5VTmA83B2cUFxfD2lr2HZSlaYeBjKUAJsMMTOiBU95ehKzmZJS1FbCfqzrKQN6R/kR5jAq0lHWgpUIfXfazurIG4+zopX+Xe0A/cdTnvehBDyMRa+tpQVNXA5q7GwZ0HtLjZbevYKpx+0qM6o4ynKjcDRN1C8w2W8bUp+v6Oe9jvDL2vzBWN0dC/TmcqzmKhx1fHRDY6c8Gsvj7xtzd2FcaJh7a12AsHnW8C7ZaQ6eZHqq+lW1NeC95H85WZbOh9FUFeMtrkcwa/g1E36Sacrx47iByGrmkRkddQ2wIXogJJvxW7oh0z6uvw0eR4SCWTpFMs7NnHhR3E35KxQdiV8U+w2+B47nZeOXkcVDeBwm1QHg1eKrUE4lPFmezChwCfJPN7bBp5gqWvyKJ/JF7Dr9HH0P4PR8ogIkkBhyJx8jCY0Jhj+yWZGQ2J7MHNwGEm4nyGGWYqlsxzwV9zDSsoadqyICIgECIkoZECFt0LgIwQgZS6pkOtG3qbkBjZy0qOkqYp4bCQwSAPvb8g21vJqJ+LulN8ThfcwIhxnPhpss12YuvP4vkhgt4wOE/7P+UILu1+HustHkCtgL+ynT7W4uZTYXYmLcLl5oK2K4UDltgGYI1dgugoyro73CZ/p3svasoDl+kHUVbTyc710Irb7zquQC6qvy4zNt7uvFVYiQ2pl1kPj3KVVjnEYDnvUN45T3pOxGRhQWsQaAoQZb+tsh1LF4IDJYKY6dMJ10xuEwtQOE/Wht/JCWw8+ioqeOTmXOwwMVV6udNrinHyuN/g/K1qPx+x7w10LsN3fztFMhuqsSqyP9BWFWPSw99rQAmUp8tOR1QGsCku7cbBcJLyGxKRlZLEkrbuIddXyFvh72WGwudMCCiacM8D7cCA8NhLnoANnc3oq6zkul2KxEBk7CqA8hvvYS7bdZBW4Wj1SYvyv7SzSx0E2A0AzuLN6KlpwlzzVawEJGsm9QNxU6kW3h1HH7P24+aTg486qlq4yGHJZhpNmlIoHAoeomOLW6tw5uJu5FQV8R+Zaqhiw987kSQCX+AL66qBP85dwj5Vyp36MZL3hNPI/ngZ6E3VCJo++r8ORQ1NTK7UbLn6vFeeHpSIEtwVMi/ywL5DfV49shBpFVXsQv3NjPHN/MWwkZvcJUxA7FacUsD7jq8GTXtrTDV1Mae+ffBapAVOKLzENP1PZEbkdlUAd3mXpy79yMFMBnIJIyGfYYCTCg0E10Xhvj6SOaZ6CvkDbEXuMFNxxuuOl6sgoUSVEey7C3dxEJDy6wfYYCjrL0QlF9ipmGFYmEeGrtq4aM/GTPNlsJcY+TEQamXzs7iU4wLpetKiM1D1wlPutwt5kXha94oTPdnbhS+yzyFrl6OvnuV/SQ8P24OBCr8VMnQm+DnCeGglu0kRB3/5PggPO3FL2ts3zkiUrZtqcn4NvoCatu4DsCUQ/CQz0Q84usHXfWRnyvB15ocSefdl5mBN0+fQGsX12DxUV8/vBgUInFY5XbXTuGhZUc3s5CnQEUV/8y9F+OHANi/zjiBX3Mi2Sk/sJ2NO32mKoDJSFp8Q9F1sMBE2N2ChIZziK47g9K2/GtObaJuCTcdLwZEnLQ8WD7ISBcqEz5RuQsEtBo6a+FvOB0TDILR3duFIxXbWNLuo46vs8vMaEpATN0ZLLN+lIWjRpqUt1Xjf7m7EFuXzlSn8M4S6+m4x3YeBCr8zmVWUyXeSNjF3p5IbLUM8ZHPUngbDr70UFrzcqGiCC9FHUJxC+eZkBfW2L7X19rZid8T47ExLgYtXVxYjFrXP+jji/u9J0BXnd95ldZcKMa51gLEHEx9l0RVN4YamvhizjxGzicLoUTxtSe342JlMQPqv8xYjlArJ4lPlVBXiAfP/cYoBFbbB+A+A2/Y2NgogInEFh1hBw4EmLCs6JZUBkZSG2PQfflqe3N9VSP2sJ5oMJUlf4426ertZNed1HCeJe92X+5GqOkSzDS9C38UbGDlwUutH2aXTVU5+8v+hJ/hdPjoB41IU5An6HxtMihBtrqDIxozUtPDo05LEWLsw2t4h1y7P2aG4becSHbDUsIYPOwyBY+7Tuet7Lm1qxOfxYfJJWts3wVIHYypvHhLciI6r3ietNXU8IC3LwMpBpr85O6MyC+JnCsdX16GV08eQ059HdM0wMoaX81dAHNt2bwsUfhw/dkD2JfPvdB8HDgP97hyOXiSSGt3B+4O/wElwnrYaxlj+9THUVtRpQAmkhhzpB5zO2BCXoHztScRXn0QDV0cnwOJyhhVllMxyTAUztrjR3yIZjBzRwCtqr2M5ZPktKThVOUeZgsK4Zyp2o+StjzMNV8BZ20Puc4v6e+aKbyztegY9pScZlVPJFS985TzSphrGvV3uEz/nlRXhDcSd6OolbvxjtOzwOe+K2CnzZ9exBpLvCeFzVyuDlXufBmykPeeO9dPRFlzE/OebEtLEffg0VJVxf3evszNP5K6GMt0kY3AwZs7OvBZVCT+Tkli2lN5+zOTgvDMpECpV930Nc+GhAh8mxLFfkUhzZd9pw3Jeu8n7cfOolhGgLc55FGM17fCQF6gh3RSng9WlAtfNwE3m3DiGYmrj8Dxip3XABIrTQcGRiboB0OgMvJpsIe6FsmTRJ6U6LrTqO6oYMmuU4zn3xKskfclpi4cvgbBjO9kJEhRaznjPElpzGHqaiip4SHHJZhvQX00+MsZEnZ34sv0Y/inMIbpJVBWw5teixilPV9CuScbEiPwa3oMq9whl/azXsGsYzEloMqTVLW24Of4WPYQIypyEqrUIHDygI8vyJuikJFjASoVp1wSUUdqJwNDfDRjNiZZyTbX7UB+Bp6J3McMRY35/jtl0ZAI/i7W5OHR85vYeOtcp+MptxnsZwUwGTlrUSqa9p1wKysrJDdexLGK7YxrhGQMxjAgMs10EazkjIJdKgaQ4iBtPa2Mu+RWlThxdRGslJgYaMmmgUazYCOQPA4rRdVvOxRdz5mqGNaPp6m7le3rre+K513vgamG4XCpcdPzRFZmscqd+k4uwXOxtQ9e97wDAhX+kjtjq0rwwtmDKGrhvCfUqfirkIVw0OXXVjczYI1QiI1x0dicnATKEyChfARKkL3H01uRJMvr6u7/5ESy90HEGezNzGA7U9PDJ/0D8IRfgEwSXPtqROt8zYltoFL6CcaW2Dr3HmgoS94Jml42loV/z5igXXXNsHXK41BV4rhPFMCk/7UwqvYQTXhYxjEkKJ1hoQiReOj6YZ75SjH1+qi6cBldzO3KgymJ9mTlLkZhLxJrTUdMMVnAclL4LJ0eiDnqO5vwffY/LAeFRFNZnRGzUaNAvhrvkR5V7U14LX4XYmq5ZGw7LSN8PnEFC/HwJdSx+MOY09iWw7nVqZPq676huNdtwpDeKGV1PZUtLfg+5gK2p6Wgq5cL3ZHXhMDJQz6+MNVSeEhlZXtJxqX7zOHsLLwbfgq1bW1sCCoD/nTWXLgZyb4tRmptBVYf34rmrg6YC3Swf8H9MBUMbY18nnoEW/LPsxDOXyGPwV3/KoGhAphIskpG8DGiCX/s2ELomHHhBcobmW++CnZaLiP4yuRTdSKfi6kPw8XaU4yCXyT6qsaYZrKQhcrkuZqJbohhVbGseqelm/NSUEfjZ11XwVidv67LlAfza3YEfsg8wxJj6U3rRfe5LKOfT9B0vCgLr104itp2zlbB5nb4bPKCQXdXHa7VXNLUiB9iLmJ3Rro4SVZNSRl3jh2Hxyb6w9FA/rw+w2UbeTkPheHePnMKx/O48Kq6sgpeDApmSczUqFDWQuXAK4/9xda0gbomdsy9F876QwNDlDe29tyvrCXJQ84hjA6gryiAiaxnVc7G7wtM3O09Md9iFSv3VYhsLSCqdIqsPoKM5njxyQTK2gg2nosQ43mMhl9epbajEd9mb0NMXRpTUUtZE+ucl2GGqT+vQCC+thCvxu9ERTtXwjvdbCze97kT+mr85fTUtLXizYvHcLQoi+mkraqGN/1mYqWzF6+2ut3aoocflRn/lZKElk6uzJiSKWc7OWOdrz8mWMgHHb+8fj9koVdTRwd+TYjFbwlxYl4SqrghBld7/eF5KShpacTdR7egXNjM1vHWOfcMmVyws6cbKyJ+RF5LNfN27pj2JDSUr+3bowAmslhRcjymaMKPp+3HrHEL5fZGKccmHLJq5W1FCKvej4T6KOr8w8ZTHaMGf8NQ5kUxUpfPfifkPTlZGY2Nubsg7OF6b0wyHI9nXFbCUF36rJIDNXRjpxDvJO3D6Qou7m6moYtPfJfDz8h+oENIfT/WpDA/HW9Hn0BjJ2erqZYOrLGZhZb8AlCq9NiamozfEuNQ1crlF7F5trTGWu8JmO3oBFUJe6BI3cijdMD27i78mZSI/8VFo6GdWzsECl4JmcoYfak9wnBIdVsrAyUFzfXMS/PnrBUIMBs6j9C3l07i5+wIls/4++SH4Gtkd8PlKIDJcMywHJ1jtE+4HJm6X1XqO2sQUX0IF+tOobOXa2dPJGfe+kGYbba83yaD/Z5ARjtUt9fjm+ytiK+/xM6gq6KFp11XIdiYvwoZAgLbC6Lxf+nH0NnbzThPHnebjkddprEYNl9SJWzBaxeO4FRJLlNBR1Udb/vPxHInT7l+KaBeK5Rg+XN8DPLqOX4bEmOBACvcPbFqvCesdfkDo3zNpyzP29XTg3/SU/Fd9AVUtnLM2tQIb42nD57wmwQjwfB5AYnVdeXxv3CpvhoqY5Tw84xlQyJQE9kttrYAj0T9LiZSe83zjpuadLQ4I7IlAAAgAElEQVQ/pxTlwtdN+2ifcFneOGQ1NrHrnqs9hrPVR1iTQRJ6myASuznmy2GoJn8eFAICRyui8GveXrT1cKBqllkA1jkthUCFP/KuS43leDluBwpaOR4e8pp8MmE5zDT581KwJoV5qXgv+iRLHiSZae2ETwLnDzmBUFZrUjQukWmdzMvBpsQEXCgtFp+O3tmn2jngXk8vxi46HLkOsr5WvsYnG+/PvIT/Xrja74hKz5e7j2ecJJY6w7t2iUSQqm8SaspYOO/bqUuw0H7ckM1Dns3l4T+gsr2JEaltm/r4LdtMjPbnlAKYKIDJkL9QwzUAeU2IdfZ05V40dXNvqVS5E2I8H7PM7mKlyfImRGu/IXMLMpq4ChlLDRO86v4AnLRteFNV2N2BT1IPY18x11nVQE0LGyaugJ+xA2860YnLW5vwyvkjiCjjbEWJhB8HzsV8u7G86jXQk+fV17Ewz66MNHGIgY611tXFWq8JWOHhqSg3HqgxARAgCS/Mx1cXopBadTUx/g4XV6wPDOYl8Zj6Uz1yehfCy7hqzU+D5mOVy9A9oQTO/xP3D06Up7FEdarCGXubKjoFMBnEQhoNu472CR8Nc0TEbFG1xxlAEXlQBMo6mGO2DEHGs+WuzJjKoXcUn8RfBUfQi16ojlHBY05LGSkbnxUyh0qS8H7yAbT1dLJwzgvuc7DGgd9SZ7pBb8tOwoexp9HazSWZLnUcj3cnzYKuhK3ih3vNU5jnSE4WS5SNK+f4j0g0VVRYsuxdbu4ItrWTO5K54bbTrc5HfW0I3G1KjAd1AhbJNDt71nBvvKkZL6rS2nz9wlFszeZK3l/zDcW68QFS0eVIaQpeid/BxnrZYz7WON6+hcdof04pPCbXLavRPuFS+RbJySBtPUKcqdqLiOrD4n5FJuoWuMPiXhDnDJ8P/ZuZKL0xD59lbEJNJ0c0NtXEF8+4rOK1IWBucxWej9mKwtZaptMCKy+87bWYt07FIrsVNTcwUrbY6hL2KystXfxf8B0IMr8xEVBOluNN1UivrmLVPAcyL4nLjWlHE4EWFruNxV1j3THO2ETu1iofNi1tbsLm5ETWBZoqbkTiY2aB9UGTMcWWv2Rt0uW75Cj8X2IEU+uBsRPxjv8sqcxbTXsz7gr7Do1dbfA3csDPQff3yyI92p9TCmCiACZ83IOkes66zmocKd/KujyLxEnbA0utHoKZhmwpqAd7IY1dLfgyc4u4Y7GlpgleG/cQHLWtBjuU1PZv7mrHGwm7EVbJJeu66JjhK/9VsNXir9cO6dHT24uf0i7iq6RIRnJGrePPLX0SBhr95+hQGGC4qjMGMhHEKHsg6xL2ZKQhtbrqmkNcjYyxdKw7Ayqyaiw3EB352Ie8EAkV5fg9MQ5Hc7LRc5maF3DtC+a7uOJBb1+5KMX+KfUiPok/w3SbZe2Mn6YvlUreEF3/MzF/IaIyi7WR2DX9KVgJ+i91VgATPlbrIM+5YcMGbNmyBfn5+ejq6oKjoyPWrVuHp556atCIdrRP+CBNO6J2LxLm4EDZZuS3cg9Y5THKrLx4pulSuSJpI86WXSWn8Gf+IXFo5wnnuzHXgr8OzKTTL9kR+D7zDCN10lHRwMe+yzDNzI33NZBWV8m6td7rOgH3j514W32OFmUivqqU0d9TQqI0khKlbYDs2lrsuZSOfZnp4l4udA5KpPSztMJ0ewdMt3PA2FHsSSlqbMDx3BwG1lL65I/oqWuwkt81Xt7DntR6q3n+MfUC65hNMsnMBptm3A2BqnR6J1Ge11uJe9jY5Klcbuc3oOU22p9To8Jj8vbbb0NHRwceHh5QU1PDqVOn8Nlnn+HDDz/E66+/PqCJFu002id8UMYYgTvTG0hS4wXsL/1DnCBLLLJ3Wj3Auh7Lk6Q15rLQTm0nR3422ywQTzgvh7qydG56klzr2apsRsjW1MXReq9zmYbH3UJ5LSkmPaj/CDGu3s4LEl6ah8fD9+A+1wmw0dHHN8nnsNLZG/+ZMFUSU8j8GPLqXCgpZiDlaE6WmCRMdGJzLW1MtbPHdHtHBNvYQkedv35HQzUGfS8prEXsrARIMmuvdmensanJHjG13jnWHQLVa8nEhnruoRz/Q8p5fJ4QzoYINLPFbzOWSw2UVLQ1YmnYd2jp7kCwiTN+CLhvwC/So/05NSqAyc0W3r333ouYmBhkZXHskgOV0T7hTZ0lKBWeh8oYTRiqu8BA3RlKY5Rv2WhvoHaTt/3ae9pwvHIHKzGmhFMSd92JWGL5gFwRtDV2NuOLS38ioSGT6eioZYXX3R+ChaYJbyYtEdbjhZhtuNRUznSgm+anvsuhxyNb7ECMseDAbwi1dsJLE7g28xn1Vfgo9jR+nHYX6xQsz9LW1YVT+bk4U5CPiMJ8cb8Xkc7UjdnPwgrT7O3ha2EJDxMzuXqA38y23b29iCsrxbG8HJzIzQHlkPQVmpMZDo64020cptjZy1XojfT8PiUKXyRwOSVB5rb4NVR6oISA2hMX/0RUdS7zTlIIx1xz4Lw3o/05NWqBybPPPosDBw6w8M5gZLRPeG7TERS1RKLncgcaOwtgqumFicZPQaBijNauSjR3lUGgYgJdNfnKzRjMHPbdt6ytELtLfkGBkAOoxCA7y2wpC/GoKMnHmxn1tfm78Ai2FR1jOhKd/Xq3exFkzF8rhPaeLnyUclBcUmypqY+v/Ffz2gjwdmuguKUB9xzfio2hyzDOgOO12ZGTzHJU9i5YC21V+QYmfa+NPCkU3ggvyGflsokV5eAyL64KeY6cDQzhaWYOT1MzVqlCSbSaPHkbKB+IiOaorDelupJtM6qrbvACmWppYbajM+Y4OSPAykbmHX8lvW98m3wOGxIj2eGTze3w64zlrPGktGRHQQw+SDnAhvvQZykW2/gMaujR/pwaVcCku7sb7e3tCA8PB3lM3nnnHaxfv/62E97U1AT6iKS8vByTJk1CcXExrK1Hx8O5rwFau4mpUB3qyhwp0aHiR2ElCICP0SMg0EKf8rY4WAuCEGj2CrRU+HtzH9Q39TY7U/5EbF04Dpb/BeEVgjYTdUussF4HB2354cigPjv/d2mzuBng3TazcJ/9Qt7CKPRWt6MwFp+mUtVTD9SVVFgcfNEgb6LSmsfbjcPeQMP3wNfECo95BIAaq/2aHo36jjZ8FrQAlLswUqWuTYjIokIGVM4VF6FaeJUKv+81UcKoi5Ex3I1NGOss8afQ1kpHF+ba2lKhyicvSI2wldHxFzTUI7GyAimVFSxM09bdfVMTO+gbMCAy18kFXmbmcucZuV7pvqCEmkz+ImVQQh7JZWHfszJ96l31tf/qAYdwRLoqgMkI+Tbn5OTAxeVq998333wTH3zwQb/av/vuu3jvvfdu2G+0AhPRhXb3dkBFSR1RlZ9AVUmACUaPo7W7AmpK2oir+ZH9ztvoYWgoD9y92K+xed6htbsZh8u3Mop7EmKPnWW2jHlQKFFWHqSyvRYfp/+GnBaORTTQyBMvjV0LDWX+3viT6ovxYux2VLVzAJ7yTp50mzHom6ms7FshbGat5iPL8vHGhWPwMbZEal0FqMHam34zsLafhFlZ6SWLcQmAER17SmUl86qkVBEwqERdO5cTdCshD4uZlrYYrOhpaEBlzBhWWUJhIuKxUVXmtvR/kvr2NgZAqltbUSWkbQvq2tpu8N70PSf1jHE3MYGHiSnz4ky0sISTIb/VXYOZhz8uxeGd6BPskCkW9vg5dBk0pOgp6RvC0VcVYPf0p2CsoTMYFdm+CmAyaJMN/YDGxkaQ56I/cXBwgPqVhLCOjg6kpKSgpaUFERER+PTTT/HSSy/dFHT0HXekeUxoYXf2NqOtuxZtPbXo7G3BGFBSoDLbGqg7slDMrYSOBy5jzBglCLtrcLDoIUw0fhKOOnPFD5pTpf9hIR53g9VQHiM992V/8zlcfy9ozcL24h9Q3cGtMXuBG+6xewaGavLhHers7cL32f/gZOVFpp+TtjXe9ngMxur6w2WiG85T29GC9TFbkVjPAab5Vp543/tOqF/X9XS4FcxpqMEv6TF42msyrLU5EE2lnecqCqCnpsHowke70He6rKX5ClipAFX9UD5HSVMTmjuv8oFI2w6qSkos18Xb3JyBEAIjzoZGI5Y4jppKPhe5nwEvSnTdNPNuqYISsn9fIrWPfJZK7H1UABNpr+YBjLdp0yY8+OCD/e6ZkJAAH5+bx+aohPiVV15hyNLc3LzfsUQ7yMOEd/Q0oaY9HbUdmRB2V4tBCIERYU8tei9zjJg3k2CzN+Cse/PGT3QDE5GOVQgTEF/7I3RULTHF/F1x8mtXrxAnS1+Ei94iOOsuGLDdRtqOHT3t2Fe2iVHck2goCbDc5jH46PNXstvXhiyMUnwSfxRwcWgjNT28M34dAyl8SUdPF95K3IujZSlMBW8DG/zXfzWM1LX5Uomd94uEcPyaHoN1HgGM7+R8RSEcdA2x3juEVef8m6Wpox2lTU1ioEJghUBLa2cnKLeJ7EX5IRSiEW27L9PPl6GvoQHKCTHR0oapQOvKz7Tl/k9N80TelZFu4zOluXjszC5mDw9DM2ybc4/UE6bJ40ghHBGR2i9BD0jsdZSH55Qs53xU5Zj0NVRYWBhCQ0Nx/vx5BAYGDtiGwz3hvZe7Ud+Ry4BIdXsaqttT0dRVNGB9laCCy6wXJVd5EmL2Npx0593yeArhpNX/jaLWMNhqT4e3IQcAey/3MK8L6XKh6gt4GT4AK62B223ACsvZjkkN57Gz5Ge09XBx+0mGoaxyR11ZPnISzlUnYkPmZnT0dkFDSQ2vuj8If0MP3qxIgOmHrDP4KYvjdaCk2O8C1sBZh99GirFVJYzK3kRTCxNNrFj7eXmvxOFtEhUnvsYCB/Iz8MK5AwyU2OsYYMe8NWwdSVs2pB/DH7nnGJHazulPwXoARGo304FIGmOyEjB7/NRRmws5aoEJcZgQvwmFhMzMBt5bQdbAhG7s9Z3ZKGg+jar2ZNS2X0L35fabfgd0VK2hrWoBgbIxNFWMoKlsxKpnuJ9pa8hyQUguXxaBkzEMYNxM6jpycKlhB3oud8FdfyWMNNyYp4Qdj152HOmV3bQfvkZPiP8ub9Tu0r5h1HfW4O+ib8XEbERrf6/ts7AWOEr7VBKNl9lUiPfTNqKhqxlKGIN1zsux0HKKRGNJ6yDqs/N20l5QUzNtFXV8MXEFgk2v5nhJ6zzSHKevx1Ca4yrGGrkW+DsrEW9cOMrCNwRKNs9eCRtt2XjZunt78FtOJMw09bDEZoLERvspZxe2Jx7Cmbt/VwATia0o4wMpH2XBggVYs2YNnJ2dGfPr6dOn8c033+Dhhx/Gjz/+OCgNZAVMGjuLkN98AgXNJ9HYVXiDTmpKOjDWcIeJhgeM2cdd6omnB4ruB4GTsXrL4Kg7D9oq5gzc9BXyptR1ZMHH6DEW5vm33Myp0d6pyj04UbmTMZ9SMux889WYanJHv30rBrXAJNyZkmLfTf0JRcIKNsJdVqF4yHEJr7rF1xZifexW1HcKWdLkq+MXYKX9JAmvUPaHUQM2HVV1rPeZAg1lFdmfUHEGubZAX/I0KjH/c9ZKmXhKpGmEsrZqPB77EVoqmxTARJqGlfZYlPT6+OOP4+zZsygtLYWmpiYDKPS7tWvXQll5cNUW0gQmLV0VKGg5hfzmk6jr4Ai0REIJqtaCYJhoejAwoqtqyxJSZSk17RlMj3JhHOo789DSVQYX3UUIMH0BmQ170ItuFLaEQU/NHpNMnr9t4iuFfDIadsBWexosNCdCWYk/tlJp2ozo7P8u/A71XdVs2HG6/8/edYBHWTThN3eXu8ul994LJUAoIYWOVBUBFRBpgiICIiCKICJditKkSG8qKEWlSJfeCRBCICSk914vl1yu5X92z+SPSMkld7nvztvn4YGQ3dnZmf2+nW925p32eNed4LxoN46C8FIuq6AZO1ElSkyWcNs2+Jxm7GhP9hmiInx8+2cklyuRPEd6h+HzwP5aS3F+3l64lp2CkWd/pb/2s7SlBQFJ9o6h/fckQD62lt+7SDFuSAu2d8OOXgRAkBnXty/SyLKYnbhacB/c4mocHrzB4DH5r2zfxhom5Jokqew0EsqOI0+sLI9d03hsK3iZ9YSXeW848oM0bojUR2dSRSWMWSaIL/0TScLTqJQVQCjLRnW1DCSQVpmt82+D6X7hdkQV7aRTkOskV0E4vMxegZtZF53P5CHxJofStyGq9AZdn7WxPcZ4fQp3gW99RKrRPlKFDBvi99dm7ASYe2Je4Iew5ipxabTRCHw9SSe+VZBEp+/mEIAVHYbClKO9FOen5SCWSWllWBIkS9z2JH12YmAYpgV1BklxNbT/hgRIgC/xnO1PeEAX3MPVhyIDqxM8TVOSjC1Lxmf311DywwU9MabjWwbDRFPCZhrdhhomJHg0WXgGkYVbIZLl1i7LmGUKD9Pu8DbvDWdBMFhGuvESJAiwLLBhavzs+BxiyMSWHqLXPnUbn22DFlZDEGD5ptqvoppyr5CvquuFZ3A0aw/INQ/biIMhbhPQ0UYJd67NRnjbn34GP6Ucp2w48mzwTZspcDax0xpbJNZkWfRxHEq7Q3kIsHDEptAxsG8ARoMmFxGRm46Z108gRVhMp2luZY8N3QdTL4qh6bcEiFEy/eoxHEt5TBdKCjyu7jyAseizdbVBnvlZUevwqCwRbiaOmOM0Cl4eXgbDRL+37P9Xp6phQjEEKm7hbsEPKJYk1BJyN+0CX4vXKIIqm8WcL0d167Fcmo208sv0Cqiuh4hjxIevxes0yFaX4e1JxeKfUtbWXu0QQLZ+jkMbnOanTvlfzLuDNXF7KSqrHdcKS4OmwNVEe9kx5Fn4Kek6VsWcoXE67gIbbA1/r15l3NUpl5fRqpRJaWG2XY+VRpSAY4y5wb3wrj/xYpIav4ambxIgMP9fXD+BQ4nKVPcRAW2xOKQvBZhTV9NkPF5U8RPMid5AWZ3bcjzcxTZwd3c3GCbqUh7T6ahimJCMGmKQZFcqX3CkuQk6ob3dJFjztO/2b2pZkwDfxyUH6DUWqcWjbEbwNOuOQKsRsDdp1dQsqWU+kawMu5JXIqVCGSfUzqoz3nGfxIhaO5HFsVj0aBsIKJsN1wJL23wCd0H9s9DUIqCniJzJekQrFBODyYFvji1h78FXy+nEz1rn1awUTLt6FIXiCvrrV1x9sbzTq3Aw0X48kSb08l+lSQwGgub6Y9w9KoKRAe2wJLSvWo3Qv7JjcD0vgQI3jPPtAk8z9Xrgvoxajwel8RTH6Pt2M2k8pcEw+Q/t6PoYJuSaI7JgC5LLldDFpNnyWiDYbgqcBA1PA9MXMYvlJTSYNrb0IMi/a5oDvw1a24yh8Si69mUqVUiwP30T7pdcp8vxNm2OsV6fw5SjOpy0uvVMgmEXPtyKKoUEVsbmWNZmCjxMndU9jUr0ruXF49OIXyFWSEGgtzeFjUaglatKNJqic36lCLNvnMC5jEQ6nTXPBMvC+qO/Z7OmmN4wh4YlIJHLaUxJjafkLZ9ArOw8QK31en5Pu0vxSfq6tEJEQTKShPnY02U8vM3Uc7UaU5qEmVFrqaTmtPwAne2CDJD0Gt43jCP/IsOEgKE9KNqN6KIfaQYLaQRrpL3tRHia9dS5w1bTwpcrqpAoPI2Y4l/+kSLtaNKOwuCTbCRdaqQY4OmcAziX9wdl247rjPE+s2HHqz+ysKbW+7A0EQsebkalvAqWxmZY2mYKvEy1m3USWZSKKbf2QigT00DYdR1HoKOdt6ZE0GC6NGYn4QEWRfyFCpmU0nnbtxXmd+wNCx3I1GjwwvV8YJlEjMmXDuNqdgpdKYkpWdvlDbWi1RI05FfPrcGq4HfQzsaTzjPjzq9oZ+2B0b6d1CLhr6N/wL3iWHgKnLGhwywKEVCfD2i1TK4lInoLsNZQeT5P4WWSdFzJWYiCqhhKms+2Qhub9xFgOUjns1AaKqv6jiPgbxmiG4gu3k3RbWsaMeba2X4ES65HfUkxot/twgsULVYBOQRsc2qceAj8tM4b+bKa93ATNU4sOKY0INbHTLteitjSbEy8+SOKJCJwWRys7DAMPZyYU9G5rtJShcWYcfVP3M3PpP/tamqBVZ0HIMxJt/an1jciAxjIFpVh3LmDiC1Rpv1/2DIEX3boqVZPCaF7JD0Sp7Me4ofQ0ZDIZeCyOTiQEoHzOTFY13Ek/ZlA0ZO4poZc7zwRpuLTyFV0DTObv4ceDh3ovw2GCQM2WVOy8LTCyddUfNkxROR/D1m1soJngMVgdLD7GFy2+mGLm3KtTT0XkWWa6DLuFWyqhd0nhQcDLAciyOZ9imirK+2J8AF+TFkNMU235mGM56doYaH9a7zYshTMi94EkbwS5hwBlrT+GH7m7loVa0p5AT66uQfZlaUU32RJ2zfxuluQVnl63uQkc2Pzo1tYG3WFQpSTUFhyqH3WrpshrZiRGvs3UzFFudQoya0kBU5BPV9jWwRrhPsEYR4elWSin0sr8P8uaEmwfSbd+gm7O39A60j1+2sVPmneGwMasOcJ4vOtwoc0qH1T8JxafCCDYaIRdTKXaF2F2zmZ4nrecqSLrlCGCQ5JJ4cv4WGmXThw5kqvfpyRK7GEsj9xv3AHrZBMGsniIdWMW1mPAEmx1oWWVZmC7UnLUSYrpqnVw9w/QjAD0onjhWn4KnojRLJKmHJMsKT1ZBC8E222nMpSTLixBykiJRDbnFavY7h3qDZZeuHcDwtz8OnVPxFfquTX19IWS8P60Ro8hsZcCVzOSsbkS3+gXCqh6L7rug5EX48AjTFM0uRFsipYcZWlQWraiCtbsKTtW7hbmIKDqRE40H2yyjwklWfik3sr6LhPA0ait9P/nxeDYaKyOHV7QI3Cb8cdQTKHFHdTHpwkYLOz4xyd+qpnuiYIuNvjkv14WPwzSFVj0sgVWXvbybRCsi4EyBZJ8rAtaSnyq7Ip/687j0BPh0FaF32CMB1zozdCKKuAgM3H4taT0NxCu/EdhVXlmHTzJ8SWKWU1KaAnJgb0YKyexXIZVkZewvaYiFp9DvVtjTkdXoE130TrOjYw8E8JHIiPwpc3T0FeXQ1bvgA7XhmiMXTfqOJ0OPDM4SxQ1tUh8Wck9oPUw+Gw2CAF+0okFTif8xjbwsaipZXq8V41KK8Ep2hrx68p3ZpmMEz+Y7u/RuGrL7eHjRMPbCMugu0+QTPLtxj7AtV1FYllxXhQvAdxJb/XBhW7m3ZFJ8c5OgHSRtKJtyevQHqFEsfmVafh6OX4ptbVQr64voregDKpCKZsE6xsO13r2TpCqRif3N6Le0XKelET/LtjSvNeWpfVixi4m5eBOTdPI+7veAUngTnWdBmAcCfteqEYLbQmZm5P7F2aEkyaj4UNdvcaBg9zzRTjSxcVYdTVbWhj7Yb+Lq3xulub2tXWGCj7U25jafRxjPXtjE9b9lVZGpmVefgo4huKBzTF/x286tz5HzQMhonKItXtAXUNE1+PVujmvBBWXC/dXpSOcC+UZuJW3mpkViih4Ek9oa6OC3QiBbtKLsaelFV4Uq6Euh7sMhZd7F/VuuRTRFmYHbWOek4ceDZY1W4GxTvRZhPLpZh59wAu5SpxYaa36IP3/Zh9PUpc9gTOfvX9K5Ao5DR2YUrrTpgW1EWtWR7a1Iuuzv1zXCTm3jpN2W9v74odPYdo1KP19f0/kFZeiA62Xogry4abwAZverRHc8v/p+iTq8uj6ZGYENCjQWLdlvg7DmdepOn/u0MXwJhlbDBMGiRJPRlUY5gcuPMJBrdbQevIGFrTSYAEyMaV/o6IgvVQVEsoQFsbm7EIshnHeDh/iaIK25OWIUmkhLwmIGwdbRr2YlKnxB+VJuKrBxshrZbBz8wdK4Kmgs/WLhoxyWAgnpMbBUr8kDmtB2A4gysT1+gjtjgPn1w+Wht7Qg7C77u+AXczzXydq3Mf6BstEqhMEHxrivG1s3OhFYLNuZrb2+VSMXYkXEGonQ/8LRxxNS+e1oginsAQO2+M8A6jAarz7x/GhwHd4SawVlnsYrkEY259TWPEhnv0w2iv1/9Fw+AxUVmsuj2gRuFpaWkUWc/QtCOBoqoEXM6Zh1KJEoPAnt8a3ZwWwMxYu8BhL5OGWF6BLYlLkF6ZCCMYYZTndARZhb1smMZ/fznvHlbE7qbzhNi0wtzA8VqvAFwhk2DSzR8RWZxG+fqm7Vt4w72txmXR2AlI6ufiO+ew78l9SsrcmIfl4a/idS9mpkE3dr1MHC+UVGHalaM4n6k0bJuyQjDx+JGAV5JxQ9rj0mxczo3Dw5JMOJtY4kFxBmx4pjSFuCHtdPYNrIv/BSwYYWfIAtjz/23cGAyThkhWh8fou8J1STUyhZimaT8pO0LZNmaZoZPDbHiZv8LoZYhkQmxKXIgccTrYRmyM9ZrJiFTig+lnsTv5GJXdAJeumOg7ROtxU+RLc/yNXfTlTr40Cc5JL+eWjNZvDXMnU2Mx68ZJlEmU5RcGerXEvI69YGeiG1llOiHkZzCZUlaM8RcOIaFUmZgwzK8NFof2bfJ07rq1ccg+Jpg9xJsSXZyBk70/hYWx6t52QnPqvW+RJMpEuG0b+gHxrKbv55QBYO0preu7wnXxZZQiPI8beSsgUQgp+/4WAxFq/ymjiyOWSYvxQ8ICFEhyYGzExUe+X8PLVHNpi/XRK3npbUw4gJPZ12j38T6D8aab9o284ioR3r++E4nl+eAYsbE+ZAQ6O/jXZ0la75NZXkor1kbkZVBeLLl8fBX8Ckj2ji5klWldgCoycD07BZMuHUapREzB0uYGv4JxzYO1KuuagFeylLATSzCtRR+828BU+HtFj/H1w01UKktbT0GQ9bPfGfp+ThkME4NhouKrQTvdSRVjgrybJ1YGl5LaRD1dlsOUY68dhuoxa5EkHxsT5qFUWgQTtik+9lsIJ7AI600AACAASURBVL52rwfl1XIsergNd4pj6FXTly3GobO99q9PCDrm2Gs7kFFRDD7LGJvDxqC9rW5kvZBYhz1xd7Ey8nItpH2YoweWhvenGSKG1ngJ0MrVcfewMOIvmg5Mrs82dh+Mbi7aTYGvu7I7hSnYm3QTazoOb/CCa4r1+Zt5YE27z55rcBkMkwaLWDcH6rvCdVMrSq4JMNv9wu2ILv6R/mzCtkUP56VwMGnN2GWR65yNCfNRKRfB0tgGH/stgg1Xu8ZUhUyM2Q/WIbE8A1yWMa2r00LLGCdEgcQoIcYJMVLMODxsDx/XIPwHbW0G4j35+taZ2rgHLouNqW06Y0JgKLjs/2NQaIs/XZ2XFOJbEHG2NqaHGHvbXxnCOKOPGE8ShQy8vxFgVZV3Xfj5OS3ef+EHg76fUwaPicFjourzo/X+5GrnWu4SyKqJO9eYxp34Wmg/Nfd5gkkRxdGAWGm1BPY8Z0zxW6z1qsSFVaWYEbkKBZISWBibYnXbz+Bsop5qqI3ZIMnCfIy9vgPFkgpYGptgZ6f3afaDrjRyOJ1IjaOYGgViEWU7wMqOFo9raaM762CKvEkhvg8v/IZbuemUJeIhWd9tEL0y07e2NGYHrhVEwcXEHpuDv3phcLrBMNE37b9kPfqucH1RZ1FVPC5kzUa5jKCIGtFSAf6WAxi7vMdlkdiV/C0UUKCFRXu87/WFVu/FiaAIxsnM+2tRIRejubkXvm07jQbraruRIMIPbuyiKZiuAmv80vWjf0F+a5vHl81fWiXG8nsX8Et8FO3KY3MopP3bvsz17r1sTU39exLkOvHi77WF+Ma37IjZ7XtqFTeGBLaS2jiDPdrX1sZRh1wKqkow7tZ8KJ4DqPb0HPp+Thk8JgaPiTqeK63QEMtLcDZzOoqqnuiEcXKt4DT+yNxJZTXQZQy62f8bn6CpBXmj4AGWxGyn0470fBUjPJnheYosSsUH13dDVi1HuJ0vNoaO+gckd1PLqaHz3cxJo2mtpKAcaf09ArAotC8cTJSppob2bAn8lR5PaxUJpVUUzG5hSB+Maa6srKvNRtLbr+UnUByTbeFj1cbKgbSz2JNyDCZsHn4OW/JSnCGDYaI20esGIX1XuG5oof5cVsnLcCZzqk4YJ8TN/2PqGkSX3qKeCRJv4iHwq/9iNdRz3ZNfcTrnOlhg4bu207ReU6dmmYdS72DRg6P0x/d8O+Ozlv00JAHNks2vFFHj5HqOEoafXEN83bEX3vZppXWvmWZXrjp1Eki8Nuoq1kdfp4OtuHx833Ugurv6qE5MzSOIp+TdK1so1eXth+A11/9D0TdmKvJemHjnG2RU5qGvUximBYx4KTl9P6cMHpOntoC+K/ylO14HOzxtnJBii6QIIBMbCYJd/WQWiiX5sOE64NOAFTBh/7MyaVPzXSmvwtS73yJLnA8nvi3Wt58FAYcZd/iLHxzFwdQ7VCTL2g35R12SppZTY+ZTVFdj75NILL97ESIZQTQGurv40OsdVzPLxpDWm7ElVZWYeuUoSIVg0gJtHLG5+5tw11DNG1UFN+32PlzIjYWnqS0O9/xEbQCFj8uS8fn9NZSd74Kmo6Xly40wfT+nDIaJwTBR9flkZP9/Gydfwc/iNUbymiqKp5k6CsjRxjIUoz0/1fqXc1xZKn05khiYPo6hmN5sJCNkJ1XIMP76booOS9KI93QZjxZ1apIwgkkVmCCZO6Qg4KWsJDrKlMPF7A49MDKgHcXl+K+2h4U5mHjpD2SUl1IRDPFtjSWhfcHn/LNGjLbkQ64W37u2g06/KGgwjTFRV1v/5FecyrlOg163Bs+t17vAYJioS/o6QkffFa4jamgQm3WNEyOw0N35G3iadW8QLU0Puph3DH9m/0ynect1PDrZ9dH0lC+l/2vqafyUepz2m91iHLrat3vpmKboUCAWYviVzcgTC+FiYkWDYa15uouuSlz3vyU9xOKIcxQojLQQR3esCH8V3v9B3JNDidH46uZpVMllMGaxML9jH4wMaFuvA7op9h8BUCPVhAnkvK+5Aw52m6S2eCdSF2f0zbk0AH2M1wC841G/SsT6fk4ZPCZP7Wx9V3hTPMjanIMYJ6cyJqNEkgSWERd9XFbDSaC+rxt1rY287HYlf4fHwnvgGBljqv8SuJhot4q1vFqBL6PW4VFZEkw5JtjYfvYz63SoSwaq0HlQnI5x13eCVPntaOuNLWFj1HY4qMKHOvvmVZZj3q0zOJVGgreVmTuftO6E91sEQ2DMVedUjKRFag59c+c8fn4SSflzEpjjh+6DaYVgJrXjGQ/wZeQhytKm0NFqRSW+mHcH38X+SMEOdz2nLs6zZKHv55TBMDEYJkx6B6iFlwpZPk6kfwSRLAfGLAH6uW6ELb+ZWmirk4hIVkbjTQgyrAPPBdMDloPL0lxl1PrwnisuxJS7K+gXXGtLP3zTZora7tLrM/+L+vyRdg/zow7TLqO8w/FFK2ZkEDV2XSdSY6mBUiCuoKTs+AJMahWOkc3agc/mNJY848aTeJvDSY9oZeCcCmWZCYKUu6HbIMbVGSIF+wZdWIfsylJ0svejiMTqbKTq9/2SOLS3bo7FrSfXm7TBMKm3qPSjo74rXD+09PJVlErScCpjIkhKMZ9tjYEeP8KEY/vygU3cI7E8BpsTF6Ea1ehi1x+DXcc1MQf/nq7mK478ZoLvWxjk2kPrPNUwsDT6T/yacpv+uLLDO+jrEsgY3hrDSLG4kh7UBxMeQFatoKTczCyxqvPrCHX0aAxpRo3NrRDSANcawDS2kRE+bBmKz9t10yo+yfOEtCvhKtY8PkMr/R7sPlmtYH/54mKMu72APvtfNH8P3R3qnw6t7+eUwWPy1I7Ud4Uz6i2lYWYKxbE4lfExZNWVcDftgp7OKxhzb1136Sezf8W5vD9ouu7M5qspOqy224rHu3E5/x7MOQLsCJlPr3aY0MhVDqlGHFmUBge+OY70nApTjna9TOqUS6qwGN9HXcPh5EcgngUSDvthyxB81q5bk1fPVee6CK1r2Sk0bbrGM9TT1RdfdegJPyvtIw4/a60yhRyvnluDXHEZ3vRoj4VBg9UqksTydGxL/APJoiz8GLoIPHb9r+/0/ZwyGCYGw0StDxvTiD0pPYwbed9Stjo7zmVkpk6VXIzlsdMglJUgyDIco72ma12M5Gvuw4jFkFbLMNyjH0Z7MSf9msDWv33pBwq+psv4Ji9SMslSIQBj8aUFtFtzK3us7jJAJ2HtiYG1Ifo61ty/gmoAAo4xlob1x2AfZnu7zmXH4NM7v1L5/95jCvzMHTTyXEoVUhizVMs+MhgmGlEFc4nqu8KZK3nNcEYyIP7KmoGsilswZplikMfPMDVmXs2S6wVn8XumEoF1mv9SuAt8NSMQFahuS/wdhzMvgs/iYnvIPFhzLVQYrdmua2LOYFfiVRr/QrJ0mutwCvHzJCWWSfFd5GXseBxBu5CMlRltu2FCyxCwWSzNClhN1AvFFZh+5RiuZCuxSfwt7bCp+2DGeknqLnvCjd24WZCEYFsvWrOJSU3fzymDx8TgMWHS86YRXkSyfBxNHQWJQghnk47o47qWcVc68moZvov9HAWSbPiZtcJHPvXDM9CIwP4mWioR4oOIRSAAbANduuMjv7c1OZ1KtCtkErx1cQOyKksQaOmCn7tOYEyQrkoLqUfn69kp+PzaCWRVlNHepLrux63DMcg7kJFxGTVLishNxydXjtYGuL7lE4glof10IuMoubyABr2S9l2HYejn0qoemmq6LgbDpOlkzYiZ9F3hjBCyFphILDuFq7mL6Myh9p+judVbWuDixVNGldzAT6lraacPfeagmXmQ1nncl3oSe1NPgmPExtaOc+HIZ04A8ZXcJ/j4thILZlbgaxjpE6Z1eWmKAYJ3svD2Wfye9Kh2Cg8zK0xuHY63fFqBy9Z+8cUaxu7mZWBD9A1cyEyk/8VlsWl9oHf82jDug+B5+lr+8AT2Jd+EPc8cp3rPgDGLOfIlPOv7OWXwmDy1M/Vd4Zp6cTKdLrnSuZg9B2miS+AYmeANjz2w4Loxim3C47r4r5BemQhXEy9M818GlpF2XfYVMjE+iFiIMqkIvRxDMKPZKEbJbNa9gziZGQ0TNheHe0yBs8CKUfypm5n7BVlY/+AazmUoD33SXE0tMDEwDEP922gtvZjs3avZKTSWpCbjhvBGvDvruw2i8PK60ipkVeh9diXKZVWYGNADk5u9wjjW9f2cMhgmBsOEcQ+dphiqlBXhSNooVMlL4MAPQj+3DWAZMetLKF74EFuSFlMRjPSYinbWnTUljnrT/SPjArYnkawhI2zsMBseptrPGqphvrCqHIMurEeZtBLdHAOwvuNInfkqr7cCntGRBMcSI6AGnI10cTQxw0etQvGuf1uYNBGUOwlsPZsejx+ibyCqMLuWUxJLMrl1GN7wasno66Zn6eBgSgQWRx+jV4One8+AA585sVU1/BoMk8Y8PTo4Vt8VroMqUSvLqeUXqeeEtGC7TxBo/a5a6auD2NbEb/Ck/AFsuY6Y2Ww1OCztgmxJFFJMiFiC/KpihNu2wdzA8epYptpo1AVe0ydsk/oIKK44nxoof6Y8phkvpJGKvN1cfPCKmy/6ezbTiBeFeEj+TInF+uhreFKizBwirbWtE41/6eseoJO1f8i6hl7+AU/KctHHORCrgt+pjxpe2IfQNFJzHSR9P6cMHpOntpS+K7zRT5keELicswDJwjP0Smeo9xFw2WaMWlVmRTLWxM+mPA13n4xgG+3X+zmdfQPr4n+hPG0O/gruAua45smLn2CbRBSm0Fo6x3tN19tA2Odt1ITSQvwQfR1HkmMgr64xUQBbvgAj/NtiVLN2cBSYN3qfkyybk6lx+CPpIe7mZ9bSC3V0x8etO6Grs5faD+FGM60CgZiSLFqXibQd4ePQ0c5bhdH/7voso0Qdhoq+n1MGw0RPDJOSiuMQS5/A1mwkjNmaybdv1BPKoMHkSudQ8mAoIEOY/Uw0s3qTQdwpWdmWtBRxwig0N2+H8T5KI0WbTV4tx5ib81AiFWKU52t417O/Ntn519yxpdkYdnkT/f+NIaPQ1TGAUfw1FTNpwhJqOFzOSsL1nNRaLwrHiIXXvZpjXItgtLVzUYmd0ioxTqfF4VhKLK7npPzD8Al38sBnbbsh2IFZ8VoqLbBO5x3xl/F97F806PWvPp+rxci6VhCFEJtAGNfxfGZW5IGg57maNOxdbTBMGqphHR2niwqXyguQmDuEStzVehHMTbpBHVa5jqqwXmxfzJ6L1PLzsOE1wxseu+o1pik73S66gAPpm8E2YmN+y60QcLTv1dkQvx8ns6/By9SFxpowrY24soVWgO3l1AJrOjLviq6p5UWMlD2xd3Eg4QGE0qra6dvZuaCPuz8seXyYG/NgzuXB4u+/a34mTpdzGQn0iuhSVhKkCiVMPmkky6aXmx8GerdAP49mOnll8zxd1GCXvO7aBsvaK9+pjWkEPO2d67Pxe5dVlExyeSbWPNkLC44pLIzNaI2cno4dVfbw6eI5pYocDR6Tp6TFRIVXydJQWnECwspL4Bl7wUrwJsz4IaiuVsDIiAWh+Aoyi+ZBwGsLATcIduZjVdkD/8m+maJb+CvrU7r2Ae67GFfkr0JWjoUxE0A8Fe+4T0JHG+3Xq4ksjsPc6I1UZky7ziE8HUq9g0UPjoJ4B870/gx2/MZfXejDw1EurcJviQ+x+/EdJAuLG7QkAu7WzcUbA7xaoLebPzVm9K1J5DJ0PrUUVQoZFgUNxmCPxlcljxemYWnMTuwKXYA8cRHWPtkHb1MXtLVuhselyTidcwNzWr6PQEvVABWZeE6pcz8YDBOGGybkeiaj6EtwWLYwN+kOuaIU+WXb4Gm3GWb8UFRXS5FdshwCXjtquLBZVnC2mgUjI+0GTKpzk2qCFjHqfk8ZinJZNppZvokwh5mamKZRNLcnLUOs8D6am7fFeJ8vG0VLHYOJkTTq5lyaOszE6xyRrAqvnPkOlXIJprfog/f9uqpj2XpDg2TQXMxMxL4n96mBIpRUUU9KpUz6zDWyjIzQ2cmTGiP9PAJgxWNGvSRNKSSiIBkf3FB6T0/1mgEXNaSeEw/jpby7WB40FedzI3Aq+xq+bfv/khMH088iuTwLX7R4T6VlGQwTlcSl+52ZpnCZvBjFot9gb/H/TIiU/Akw4baEvcVEsIz4iMvuC1+HX1Ak2o9KSQycrWaDy3EzXOe8ZDtGFe3C/cJtFKp+qPdRGLOY9eKNKLqI/embwAIbCwKZcZ2z/smvOJVznbHXOfOjDoNk6XiY2uBYz2lqiRHQ/bfai1dACiOWSyQgnpUyaRU1WIix0srWCfYmpvq+/Nr1bYw9hy3xl+AusKEB1OpomxIO4VZhNCb6DcGp7OvwEDjhfZ9BIPhAAg4fh9L/QmJ5Bma1UM3LzbRzSh2yqkvD4DFhuMekLntyRQXYLAEScofBnN8FjpZTUSD8CWJpHNxslkAovoqi8n2wNRsNAbctWAw7aNW9eRtLj0DV/5b8JqqhQGfHr+BnwZxCdWRtda9zhrlPRIhNz8YuudHj7xfH4au/r3M2Bc+hL1omtQfF6Rh1dRtlaXv4WITY+TCJPQMvDJbAmKvbcL84HW97dMD8oEFq4fROUQwu5EbQVPuMyjxa2mGYR59a4MR50ZvQ2soPQ937qDSfwTBRSVy635mpCq+ultHrmUrJY6QXzoCz9VfUOMkpXQtUK2BrPgq5petRUnGUXu9Ym74NNxslUJehPV8C57K+QIboKuz5rfGa+xbGiWp70nLECiMZdZ0z+ubXKJWWY6Tnqxjh+SqjZEaCvodc+gHxwly86toaK9oPZRR/BmaYKQFyDdj11DLIqhX4tv1Q9HdtrRFGxXIJeCxj6snLqszH7uRjGOreG/7mHirNx9RzSqVFvKCzwWPylHCYrvD0otlQKETwtFsPcs2TVjgd5VXXYcyyB5/bEjJFEfgcH7jaLKHXPIb2YgmklV/BhexZtNNAj59hzWPWF3ZE0SXsT/+BUdc5G+P340T2NXgKnPFDsPZjX57WMKlxQmqdkPom5/rMhBVXYHgMDBJ4oQTq1l260PcL2PI0lwWnqFZmOFXIxSiqKoW7wEnlK0emn1ON3W4Gw0SHDJOyyvPILJ4Hf8ej4LBtlJu7KhIslgWNKWEZ8ZBVvBQSeTpcrebBmMMc6PDGblRNjVdUy3AweRDE8mJGIsFWykWY9/ADVKMa73t/gZYWHTQlinrTvVf0GF8/VGKG/BK+DBbGzIpDKJNUoseZFfTrd1WHd9DHJbDeazN0/G9KYMuTi9gYdx7eZnY40nOqWoQglFbgYWkCHPg2sONZwdL4n8YOiTP5LvZHzG81QeX5DIaJyiLT7QFMVDhxTwMy6h2xEgyEpaAfKiWPQNKIzXhh4LCtUXPVI5FlgGVkSv/vWY3QkinyDSBsdYRzJmMqsivvoJnlWwhz+JxxG3jho48glJXgLdcP0Mmur9b5I2mP424voHysa/8FfM2YB6414PxapImKDNk5Wt8tusHAN9F/Yn/KbXSy98XmMNUyZJ63QhJbsj3pMFpYeEMBBUzYfFgbm8OWZ0VThuPL03Ay+zp2hsxXWUhMPKdUXsQLBhg8JjriMSkQ7qbeEh7Hh6YMkzgSK9M34Wg5Bcbs+sGDyxUipBd9jsqqKPg7HX+u8aLODaYLtK7nLkd82VG4CELRx3UN41j+/skcWnH4FYfBeM1Z+8BhJG148JUZUKAaXwd+iDBbzdzHN0YRE2/uwfX8RAzxCMa8oIGNIWUY+x+QwKcRv+JcTgwGuAVhabu31bLibYm/g+CYvOHaDcUSIUokQpTJRBDJKin9+yVxtPbU1ADVn2mDYaIWFTUdkbt37yIkJAQmJiYoLy9XeWKmKryo/CDKKv+ClekbMOUGw5ijejZERVUUEnJJFooUZvyu8LH/0YB3AiC66CfcK9wEC2N3vOm1X+U9o+kBe1JWIbr0Ntpbd8UIjymanq5e9Mfc/BqFklJM8huCAS7d6jWmKTsteXAMB1IjEGbng63hqqViNiWfhrmYIYGRV7YiuiQDH/h1xbQWqmXIPG8Fv6Wfg7RaRjNuSKViebWCGiXFkjIaU0Iyct5064lBrqqDJzL1nFKXNvXKY0KuKTp16oTk5GRqlOiTYaIuhReW70VGkRJO3N58ElyslZV2/8stRXgel3LmggUORvpdAMuIzShxHMncjSsFJ+Fj2hKT/VR3+2piMZ/dX43YshS87daL4jIwre1JvIZVMafhKrDGyV5KhF9DM0jgeRLoc3YlcsVl+LLV63jXO1QtgqqUV6FcWgFrrgU4rH+/Uz65uwIf+b6NVlZ+Ks9nMExUFpn2BuzcuRPLli3D0KFDsW7dOoNh8hxVpBfOQpFoH/2tp90mWAkGaE9pDJi5UByHP9PHUU7e9voNZsbMChq+mHcMf2b/DFuuI75ssY4BEgOWP96FK/mR6G7fQWXUyqZYwPnsx5h+5xf6pXr7ta9pho6hGSTwLAkQT0bw8UXUo7EmeDh6ObfUuKDIR3R0aQKNP6lb3K++ExsMk/pKSsv9SkpKEBAQAGKc3LlzBytXrtRZw6SmBo6mRKqorkJi7lBUSCLBMhLAz/EITLjNNTUd4+lK5OX4JUkZVNrXdR2cBcGM4vl+yQ38nLoWbCMOlrX+qRacSZtM7kg6jN8zzqOlhQ++qwOxrU2e6s79pCyH4pmQdvyV6XA3VWaxGZpBAk9LIF8sRK+z39H/3ttlAlpbMy+Y+2meDYaJjuzjKVOmIDExESdPnsSCBQt02jBJyhtNA1odLCaDZ6wZXA2JLBvxOa9BpigAl+OFAKc/wWZZ6oi21c/mr4mvokpRinCHWQiwZNbVRKroCdYnfE0XPb/lFpgbW6lfACpSPJp5CVsSf4M9zxq7QxeqOFrz3StkVQg7+Q2daHPoGHRyUN1drnkuDTMwQQKPSjLx7hUluOLZ3p/D0cSCCWy9kAeDYcJ4FQH3799HeHg4IiMj0bx5c5UMk7KyMpA/NS07O5sGz6anp8PNrekt5yppMmKzlcGEnnZbYCV4TWMaKBffRGIeiQiXwdZsFNxslmlsLqYTPp42HgVVMWhlPQod7CYzit1SaREWx0yiPE3zXwp3gWqVSDWxmBsFD7AkZjtYYOFw11VgMywuh6y555lvUVhVjq9aD8A7XiGaEIOBph5I4EJOLKZF7AMLRrjz+rxnxoMwbZkGw0QLGiktLQUxEF7WvL29weVy0bVrV4SGhmLVqlV0iCoeE9J34cJ/f/FpzzBJQWy2siqqh+0GWJtq7uu9rPICkvNJxoLiP2+Y/Jn2AQqrHqOV9Wh0sFMaAUxpJZJCLHmsNJam+y+Dm0AzXjRV1nutIApLY3b8bZisprEcTGs9Tq9AkUSEua3fwDCvjkxjz8APQyRQY5gY/W2YaDIeicSxkHR7Lsu4Uas3GCaNEl/DBu/evRvjximDEV/UiIckNjYWkydPpt4SS0vlVcTy5cuxYcMGEOXx+Xz653mNaR4TwmdS3igIxZfAN26JAKdTKsMVv0xu5PdiaTzicwZBUS0EzzgA/o6HwWaZ12eoXvb5JbEfJAohOjl8CX/LNxi1xhRRHDYkzKM8LQzcBlOO9l3NhzMuYFvSH3Dg2WBXqBJsjUmtXCpGp1NLKUtbw95DmL32vUxMko+Bl/9LIKYkC8OvbKb/cab3Z3Ay0cyV9qJHW3Gr8CEGuXbHBN/GYaUYDBOG7+DneTxq2J41axY1VOrbmKDwcvENJOYNoyx72++Bhckr9WW/Xv1IjZ343DcgkaWCzbKGv9Mx8Die9Rqrj53E8lLsT1IWo+vnthFOJu0YtczI4mvYm7YOxkZcLG1NsGeMtM7f1sTfcSTzIlpZ+mJF0DSt8/M0A3UPm1O9ZsBFoP24HMYJycAQlQC57iPXfqT91Hk8gmxUK6hXXzEujdmJawX38YpDR3zWfHR9hz2zHxPOqUYt4CWDdR7HJCUlBeRP3UY8Lvv376eBsB4eHvDxqb/rmwkKJ6lkCbmDUSG5Bw7LDj4Oe2HCVU8KG0GMTcwbCVHVDQAc+Drsgxk/XJN7jPG088WPcCL9Q8rnUO8jEHDsGcXz+bwjOJG9Dw48F3zRnBnItEsebceNwgdqeclqQtinsx5i5t0DNE2YpAsz8apJE+s20FRdAuR9G3xiEaQKOVZ2GIa+Lq1UJ1KPERvi9+Nk9jV0tAnEglYf1WPE87sw4Zxq1AL03TB51vpUiTF5ejxTFE6K85HAVEW1CGwjS3g7/AhTXvtG7QXyAGYUf4mi8r2UjpvNt7A1Ux0OuVFMMHBwYtkpXM1dBI4RHyN8zzHCI1FXTL9lECPgLALM2mCC71eMkODUe98isTwDwz36YbTX64zgqS4TW59cwoa4c2otysa4RRoYUpsEXju3BhkVxZjZsj9G+3ZSG926hPYkH8OB9LNobuGFVW1nNGoOppxTjVrECwbrvMdEXw0Tsi5inCTlj6a1cQjeiLf9LpjxG/7Q5At3IqtYiRxqZ/4BXK2ZFxugqY3+Irr3C7cjqmgnrLl+GOj5ozZYeOGcO5JW4LHwHkJtemGou+qVSDWxoHevf0nrfkz1H45+zg3fk5rgjdD8+v4fOJIeie6OzbA+ZKSmpjHQ1RMJjLu2A3eLUjHaJxwzA5XXuupuBKJ+Z/IRuJo4YGvHuY0ibzBMGiU+3RvMNIVXSh4jKW8krQhsZMSDl90WWJj0UlmwZZUXkZxPqmYqYM7vQY0cIyOOynT0ccCVnAVIEp6Bh2kP9HRRBkwyqa2M+xw54nT0dxqG3o6NC5pTx7rE8iq8fW0mJbWk9WS0s2YeON9717YjsihNoweNOmRpoMEMCcy6dxAnM6PR1zkQK4Pf0QhTZ3NuYu2TfbAwNsUv4Y2DZmDaOaVugemlx6QxQmKifjhdswAAIABJREFUwgm2SWLecEjlWTQuxNV6PqwEg+pVHZhc34iqbiI5fzwU1WXgcfzh70QycLSf2dEYPalzLJMxTMg650aPhVhRieHukxFs012dS28QrTRRNibdVb5YtwbPhavAoUF0NDnIgGGiSenqH+2Vj07hx6Tr6GDjiV2dP9DIAv+P/WOEI13XNArBmYnnlDqFZjBMnpImUxUukWVS40Qiqwn0ZcOUFwIzXggU1RIoqsuhUIggrxb+/Tf5uZxeA8kUhXSVbJYV/B2PgWfspc49pNO0pIoKHEgaCFl1BcIdZiPAciCj1lMXw2SS73z4mqknCLoxi7ySfw/LH+8GwX34vcvKRmMyNIaXZ43NrihBv3Or6a+2hI1BuL0B9VXdMtY3ersTr2J1zBk48S1xuvcMjcSZPSpNxBdR31PR7Qv7BpbchsMzMPWcUte+MBgmOmKYEDal8jxkFM5CmfgiRWtVpfE4PnC3XQ1TXgdVhul938clh3A7fzWMwKYF/EyNmfX1X5ORw2OZYH7gFnBZPK3rpAaPIdDCB98ysE4OqSpMqgtbGJvgbO/PYMLhal1mBgaYLYF7hakYe30HZfJIz6k0aFrdTSgVYfiNLynZha0mItim4R8ZBsNE3dphOD1dUDjxgpCYkbLKMxBLE8FiCcA2MgOLZQq2kfk//2aZgW8cAAE3WCNfAQxX5wvZI8US/0gdDqE0A95mfdDNmVk1X8g13HdxM5BXlYUQm54Y5j5R6+IukQgx5tbXtBLrtIB30deJWanmpEZOn7OrIJSJ8YFfV0xr0UfrMjMwwHwJyBRy9DjzLcqklfi8ZT+M8e2sEaY/iliCjMo8vOvRH6O8Gl5uRBfOqcYI0OAx0SGPSWMUbRj7bwmkl1/F+ewv6C9ed98OO37Dv2A0Id9UUTzWJyij9z/2XQhvM+0HmdYgvvJYxvg5bAkEHBNNLL3BNH9JvoVlD4+DY8TCyV4zdKIgW4MXaxioVgl8cfcgTmVFI9TOB9vCSakO9bfVcT/jXO5ttLdujsWtG16Ty2CYqF83jKao7wpntPCbmLnTGVOQU3kPDvw2eNVdCUnNpFaDX2LLdcTs5t8zwuM15e4KJIsy0dMhGJ83H8MkcUFRrcDAC+uQJirCa65tsLz9EEbxxwRm8itFOJYSgzRhCcqlEoikEvp3ubQKIpnyZ6G0ClVyOQJtHNHH3R993Pzga2nLiP2nSRkeS7+Pr+7/Do4RG1f6z4YpR/3Xpn9mXcamhEM0M2df2NIGy1TfzymDx8TgMdHks85Y2kVVT3AsTflV1MPpG3ia92QUr1KFBItiJqJSLmJMmnBSeSY+ubeCyumb1h+jrXUzRsmsphgbYeqXrh8h0MqVUfxpixmZQoHLWUnYn/AA59ITIKtWqMyKt7k1ehMjxd0f7e1dwWExr2ijyot6akBRlYhC01ejGmuCh6OXs/o9qI/LkvH5fSV68+6QhbDnWzeIbYNh0iCx6e4gfVe47mpGvZxfzVmCROEJmHKc8JbXAbAYhulyv+QGfk5dSxc9p8UG2HC1D5O/LfF3HM68CHueNXaGzG9UuqN6tamk9sH1nYgoTEE7Gw/s6TxeE1PoFE3iFTmQ8ACHEqORUyGs5d2EY4x2di4w5/JgZsyFGYcLMy4PphwuzI15MDVWBgtfzU7B+YwElEjE/1i3Nc8EPV190d8jgBorLAbUblKXYkZe2Yrokgy85dEBC4LUX9mdYAANvfYFFKjG3JbjEW7XpkGs6/s5ZfCYPLUt9F3hDXoK9GxQpawQh1LegqJaimC7TxBozTxY/u1JyxArvA8/s1aY6Pu11jVASrWPuTkPJVIhhrn3xXveA7TOU10GYkuzMezyJvpfq4OHo7cGvnYZteDnMCOWy3A67Qn2x0fhek7qP3q1tXPBcP8gDPBqDjPj+l1TEG/L3fwM/JWegLPp8UgRFv+DZpijB1Z2fh1uZpqpyNvUMt/85AJ+iLsAB745zvb+vMFXLS/ie9KdpUiryGlUAKy+n1MGw8RgmDT1s6/1+e4VbEZ08Y/gGAkw1PswuGwzrfNUl4FSaRGWxEymLuV33T9GB5tuWufvduFDLHy0lfKxOfgruAsctc5TXQa+vHcIxzMfwMXECsd7Tf/PFe0rlYjxR+JDbH8cgYzy0lrREO/Gmz6BeMcvCM2sG+d1I1liiaWFOJuRQI2f+wUE8BHU6zK6WXu8698WHua6XcX5UUkm3r2yha7rQLdJaG7prPZ9vjL2R1zIu9OoYn4Gw0TtamE2QX1XOLOlr3nuskS38VfWDFRDgRZW7yDEfprmJ1VxBnKFQ65yCHbJvJabwWPzVaSg3u5ShQykaB/5ymtm7onV7T5T7wSNpHY26xE+u7ufUpkZ2B+jfZhXu6eRS3zu8AcF2dj7JBJHUx6jUial/YwAdHH2pt6R3u5+4LE1U3riaHIMvr51BsQoqmldnb3wbkBb9HbzB5fN1tSyNUaXBFD3/WsV8sRCvOnRHguDBqt9rqOZl7Al8TcI2HzsC/8GxixjlefQ93PK4DF5akvou8JVfgL0aECZJAPH0z+ARCGEJdcbr7ltBZdtyqgVPiq9i10p31KeBrmMRVd7zRQUU2XRv6aexk+px+mQFUHT0MrSV5XhGu2bJirE8MubUS6rQmsrN+zu/D6MWZo5iDW6EBWIV0glOJbyGD8/iUR0YU7tSC6LjVc9m+HDliFoZeukAsWGd82tEGJ7TAR+S4xGUVVlLSE7vgBDfNtgRIDueVFqUGBJyvnRnlPhZmrTcAE9Y2SeuAjjbisLqM4L/BChtq1Vpq/v55TBMDEYJio/FLo4QCIX4UTGhyiVpIDLMsfr7jtgwXVj1FIq5RVYGfcZyFWOp8AfH/st0nqAaUZFLj6+uxyyajn6O3XCJwHDGSOzKrkUo69uQ2xZDiyNTajr3Vmg21cJLxJuZnkptsXcxm+JD2lKb03zMLPCyIB2GOLXGrZ8gVb0UyWX4UxaPPbFR+JGTlotD8YsFia1CsPk1p3A15DnRt0LrpBJ8Oq5NSiWiDTmNZkRuQpxwtQGp90bDBN1a53h9PRd4QwXv0bYIwiv57NnI0N0FUZgobfLariYhmhkrsYQrcEtYRux8WnACjjx3RtDrtFjSUzBlw/WI7o0AdZcC2wOngMzjnYOvmctZvGDoziYeof+akPISHRzZFb6cqMV8DcBckWz+eFNbHl0CyS4lTS2kRF6uflhVLP26OLsxajMmKSyIhp8ezDhQa0XxcfCBkvD+iPMyUNdYtEoHU17Tf7IOI/tSYdhwuZhX/hSletN6fs5ZfCYGDwmGn3AmUD8XsEWRBfvoawE201FoDVzvvpr5JNYHoNNiUpI/D6OQ9DPaajWRXcm5wa+f/IL5WN2i3Hoat9O6zzVMHAi8wFm3ztEf9RX6HliGJIrm2V3LyD773RfKy4f7zXvQONHnE2ZXSFcKKnCyshL+DHuHqr/VtxwvyB82aEnLHnajZt62UbWtNek7nVOQ9KGDYbJyzSoZ7/Xd4XrmbpeupwU4TlcylGm2/qav4bOjl9pJAXwpYy8oAMBU1v95AvkV2XDkeeGTwOWg9OAgLjG8PD02GJJGSbeWYpyWQVCbAIxL3ACY+SWUVGMYZd+oHEl7W08sT18LDgs3Qu0fJG+SOzIwtt/4U5+Rq2HhGS+TA/qAises8oAvGzf3cvPxJc3TiGuJJ92teObYn7H3jRt2YjBGCia9pp8dn81YstS0MO+A2a2eO9lYvzH7/X9nDJ4TJ7aDvqucJV2v453JuiuJ9MnQlYthh0/EP1dN4DNgOq8T4v1ZPavOJf3B4xgRONKvEwDtC75bx/vwaX8u+CzuNgUPAcOfPUGADZ0gaTY2vvXd+J+cTqtHnyo+2Q4megHhgaRSV5lOb67d4mCotV4GUimy9cdeyHAqnHpvg2VuTrGSeRybIu5he+jrkGikFOSBKRtcWhfxmKgaNprUlN3ilzn7A37Bjx2/atg6/s5ZTBMDIaJOt47jKMhlhXjz/T3IZLlwoRthwEeOyDgMO/FnlWZgrVP5kABObrYvYrBrpopHqaKgu4UxWD+Q2XtoAm+b2GQaw9Vhmu076a4C9j05AKdY2WHd9DXJVCj8zUVcQJktiMmAuujr9HaNaR5mVtjbvArNJaEyZ4FVWSUXFaEOTdP1QbIEhTaecG9aIoxE5smvSYFVcV479Z8uuyvWn6ATnZB9RaBwTCpt6j0o6O+K1w/tPTiVYhk+Tif9TmKquLBMuKiv9tG2POZd4CJZEL8kLAAuVUZsDK2w8xmq7SOWZIvLgZxMRdKShFg7oGVbWcwBqzsdNZDzLp7kMJ5awoyvKmfD7lCQeNIvo+6iuS/UVUJYNnUNp1pLImmMEiaep115yOxMwcTo/HNnfO1GCgE3n5ex95wYVjcTF2vST+XVvi2/VC1Gokz769FTFkSNUqIcVLfpu/nlMFjYvCY1PdZ0Il++ZUPcSF7DirlBRRqqovjXPhaaB8L5GnhkdTgLYmLkVGZRK9wxvt8iWbm9f9i0oQyyqQifBG1FukVuTRLYFXbGfAxY0YhvKPp9zHv/h/UKPE1s8ferh9BwKm/61sT8moMTUV1NY6nxGLtg6sUTbWmve3bCrPb94S9CbPwdRqz1ueNLagUYdqVo7j2N3S+gGNMY2jGtQiGMYNihvYm3cSKRyfoMha3fROD3NUXBH4y+xo2xO+n7wCS9eZWT0Rlg2GiiR3JYJr6rnAGi75RrJGvsLjS3xGR/z0UkIFtxENXpwXwNOveKLqaGFwlF2Nb0lKkVMRR8u+4T0ZHG+3ySYqLffVgI2KFKWCBhbmBHzQI+EkT8jqUegeLHxyjEP2+5g7YFvYe7PjmmphK4zSJQXIqLQ5ro67iSQkxnpWNxFuQQznITv0Q6BpfVCMmIPL4NT4KK+5drPWeBFjZ0diTUEdmpBYTNNiJN3/EzYIkmLC5NK7JXU2gaxKFFB/cXogiSRl6OYZgRrNR9ZKmvp9TBo/JU9tA3xVer12vY52kikrczFuBJOEZyrkZxwU9nL+BLZ95uBYkA2dn8reIL4+mvL7lSu6W+2pV4iSgdPGjbbhTHEP5mB4wEn2cQrXKU83k+5JvYvlD5ddqcwsnbAl7D9Y83fMmEMP5THo81kRdQWyxMjuFtK7O3vi0bRe0t2eGZ0pbSi8UV2D53Qv0iqemveXTCnM69IQdA7xH+WIhhlzaiGJJBcLtfLE5bIzarnRqgmDJB8HWjnPhbGL3UjXo+zllMEwMhslLHwImdyiTpONC9pcokSRRNt0EndDFaR54bOZhPMirZdiTshoxZXcprwOcR6GHwxtaFS/5GlwTtxfn8yIoH+97D8Lb7r20ylPN5DsTrmDt47P0x1ZWrtgcOgYWXN1KlSW8k3o2X98+g6iC7Fq5dnLyxKdBXdDRUbsgeoxQdB0mInLTMffWmdrUYgsuDzPbdafItiwtpxYfz3iALyOV2DnL2g3B625t1CI+sVyC928vQKm0vN7oygbDRC2i1x0i+q5w3dHEyzlNK7+Eq7lLIFWIaDxJW9vxaGP9HoyMWC8f3MQ9iAGwN3Udokpv0JmZAqK2I+kwfs84T3l607UnPvAZrLYvwcaIuKb8PKHRzsYDG0NGwcyY2aBcT6+3tEqM7yIv0SJ7Nam/IQ5u+LRtV4Q7eTZGPHo9VqqQY0/sXay5fxUimTJDqbuLD77v+oZWMVyI14tc6dwoSIQN1xRHen4CS656kJAPpp/F7uRj4BixsSNkHux41i/Usb6fUwaPyVPq13eF68MbTVEtQ2ThVjws/pkuh8eypPEkrqbMuH54WsbEKDmQvhl3ii8pX7L2A6i3RNspoL+ln8PO5COUp54OwfR+m8UAo65uSnCInTfWdRypU4Gu5AD7LekhRWwlVxSkeZpbYUHHPujh6qN1vevKOyBbVIZFEedwMk0Zi+VuZoktPd5CSxtHrS0hXVSEty5uQJVChrc9OmB+0CC18FIhE9PCfgTQ8A2XbpjoN8RgmKhFsnpCxGCYMFuRlbIiXM6Zh5zKe5RRW15zGk9iZszMoEFySP2RuQvXC09TfsNt+9C4Em0bJedyb2N1nNKw62DdgiK7MgE9dcuTi9gYp/TgdLL3w9qO74LPVr0svLZ2cWxxHr6+dQYReUrEVlLx9+PW4fioVZjOFLHTluyeNS95fkgV5UURf0GqUFAZLg9/FYN9tJf+vy3+EtbHnqPs7u70Adrbqsf7tS/1JPamnqQZcTtC5sOG+/zraH0/pwwek6eeBn1XOJNeOqrwQl5QaaLLuJW36u9UYCDAYjBC7KeDzWJm2ijh+c/svbiUf+xvA6ArzcDRtlfiduFDLH60HQooEGDuiWVtpoDP5qmiDrX3JbLaGn+p1ighAYbrQkaApyNGSV5FOTY/ukmvIOTVyosbkmmzIKQ3PM1f7JZXuzD1kODdvAxMunSYIuOSNrZ5B3zRrjsExk3/7EsVMgy7tAmJ5fk0df1A90kwZnEaLXWhtALjbs9HpbwKb7m9Qq9Vn9f0/ZwyGCYGw6TRD5SmCWRX3MG9wi0oED+iU7GNuAhzmAk/i9c1PXWD6VfIyrE/fRMelSmr37axDMVIz2kglYO12f7MuowtCb9To8TNxAHftp0OS2MzbbKEcqkY86OO4Gy2Ur9hdj5YFzJSJzwlxCBZH32dVtOtgVp3NbWgYGF93f217hnTqmLVPDkxSj6+dLjWG+UisMDcjq/gVY9mTS7ne4WpGHt9B10hudKZ12agWnjYk3wMB9LPUq/Jxg6z4WLybLRqg2Gi5s3FdHL6rnCmy78uf/niGEQWbEZ2pfJwJ82BH4Rwhy9gxfNm7FIyKpKwJ3U1iiXKtNC2VuEY7j4FHDV8VTV00SQleEvibziRfZWSIEbJ4taTtV4D50lZDj67sx+pIiXIWA/H5ljRfghMGA6eVlJViU0PlR4SsVxGeTc35tEv+UmtwrTyJd/QvaFL40hg7MrIy9gec7vWM9XF2QsLOvaGn9XL02zVudZVMaexJ/EaJTm71WsY4R3WaPJCqYgWzyyRCmnxzPmtPnomTX0/pwwek6fUXqPw649/RVizYWqxghu9W/9jBIqrEhFZuA3posu1K7fhBaC97US4CEIZqxNyHXGj8CyOZO0BSQ0m3pEBzqPRxa6/VnkmL7tlj3chquQJlWd76+aY1WIszDjqySho6PY8kh6JJQ+O0UBCthELU5v3xljfzlqV1cvWIpJKsPNxBLY+ug2htKrWIJkQGEIh5C24upU59LL1MvX3T0ryMf/22dqaO8YsFkXMfb9FcJPtH3m1Ap/c3ourefFgwQg/hI5GJwe/Rovsr5xbWPNkL6WzqNUkdLBp8S+aBsOk0WLWLQI1Cl99uT0CvTsjxGEGrLheurUIHeWWYJJEFe1CkpAEiirv6S2MPdDOdgI8zXowMg24RtQEzfVQxlZElii/oKyMbTHa81N4mvprVRtpFTlY9HArssVKlNFBrt3p3bU2r5TEcimWRR/HH+nKAGZ7njm+7TAUHWyZ+5wRr8i+J5HYGH2jNtOGBGKObR6Mia1CtZrGqtUNpsXJaQxXSiy+uXseORVCyklvNz981+l1WPObBu9GKBVj9NVtSCrPhzmHj5+7ToC3WeM8NySLj9SreiJMg7vAERvaz/5XYLrBMNHixtPG1HUNExsnHozARkurdxBkOw7GLN1DnNSGDFWdM68yGo+K99Hg1hqDxJTjiCCbD+Br0R8so8YHlqnKkyr9c8QZ+DFlNfKqMumw5uZt8a7HFJhytAubTqoEr3i8GxVyMfVITPYbhv7OnVRZmtr7ZoiK8OmdXxFXlkNph9r5YHn7IbDlaTfO5XkLJUX2fkuMxtqoa8iqKKPdOEYsWg33k9ad4CBgJt9qVxyDCRK8mFk3TuBUmtIj6Cwwx7quA5sMvC5NVIiRV7aiVFoJT1Nb7O0yodFAgI/LkvH5/TV0PR/5vo2Brv8sWWEwTBi8ITXBWo3Crz3eh0zer6iQKeMETNh2CLb7GN7mfZvMVaiJ9TGFZnW1Aumiq9QgyRM/qGXLhG2LVtaj0MxyMNgs7WaK1EdWd4uv4FDGNkgVVbQQVz+nYXjFYbBWM2/Il+SRzIsg4Gmk6J0FxxRzWr6P1lba9d4Ql/fse4dQJq2ksprg3w0Tm/VkTPXip/VNUEjJdUFMcR79lREBofMJxPSgrvAwt6rP9jD0aSIJ0LTiuEgsvnOOBiGzjYzwaVBXGu/DZmkecPF2QRIFX5NVKyhk/Q9hoxu9r797vAcX8+/SK9dtHb+GhfH/P4wNhkkTbSymTFNX4Y4uNnhQtAcxxb/QwnCkkeDLUIfPYMNr/F0iU9bclHzIFVVIFJ7Co+JfUCZNq53a0tgTgdYj4GPej7Hpv3XlRGrekFiSm4V/0f8251hipOdU+Jm1akpx/msuksq4KeEgTucoEWY9BE4Uo6Q+9Tc0xThxTW+Pv0JTgUkhPnNjPpa3G4KujgGamrJRdMm1AAFHO5KsrB1EWh93f8xs1w0BVs/OkmjUhIbBapPAo6JcfHL5CJLKiijNzk6eWNPljSbxbB1IicCSaCU0wCfNe+FD/8YV5iyoKsaEiG9QpZBggEtXTPIbWisng2Giti2jG4SepfBSSSpu569BVsVtuggjsOBt3huB1iNhw9PuV6huSBWokBUgvuwYYkt+g1iufGmQRgy9VtYj4WbaidExJHXlTK5u9qZ+j2yx0rDyMW2BUZ7TYGGsXbwKUmtjacwOPCxNpHwF27TErObvQcBpmvv2Z+1Fcgc/N/J3XMiNpb/2N3fEmo7D4WFqy7itWyWXYXtMBDZGX0eFTEr5I5VuScZHJ2fmxr8wTpBaZogEKBOQu9+THlJO7PgCrOo8AN1dfTTO2ZzI3/BnRhT1luzu9D6CbBpXIbkGdI0E167vMAtepi50DQbDROOqZNYEz1M4cRWSLJHb+d9DJFPej5PmaNIOvuavwtOsJ7hsQwxKXW0KpVlIL7+CDNE15FSSeiHyv39tBE+z7tSws+drD8FR1Z1HvCRX8k/gbO5vkFZL6HVET4dB9PpGm8GkZB0PSxIokmtuldLoe9PtFYzzHthod7KqMqrb/05hChZGHalNBe7v0hoLggYxDl6eBLYeSojGlkc3kV5eSpdAisfNCOqKUc3ag9MEVwGNkbNh7LMlQGKDiIFSY2SSjB0CysbnaA5JWCSrwjuXNyFNVAQXEyvs7TqhUfFTpMDfxDvfIL+qGG0s/fFNm4/pNbHBMPmP7fqXKVymENMv/5jiX1Eu+3+1UAL65W7ajQZrughCGB+wqQm1kriRAnEMjR0hf2oq/tbMxTESwNeiH1pavQsLrpsmWNAITWKUEqC0Y1k/oVCSS+cw51hhhMcU+Ju31sic9SVKamzsSTmGP7Ou0CGkCNjH/sPQ1ym8viTU3q9UUoHVMWdqs27I1+OMFn0xyiecUfFZ5Mua4JCQ9N+Cv2vakDiS4f5t8Xm7brDlazedWu2K+Q8STCwtxMeXDyO2WBkr6G9ph7Vd30CgBuvtxJRkYdTVbZBVy9HS0gU7Oo2DKafh8XJX8u9h+ePdlP/xPoPpR8fLzildV7UBx+QpDdZX4aSQHPEGJAhPIlN0o443AOCzbeBl9grF3HA0aau3nhRyYJdJ05FXGYXcyvvIrLj1j2saIlpjlgCugnC4m3aBu1k3GLO0d63QkIc1uzINR7P2IL5c6RYmXpIQm1fwqvNwmHGeX8uiIXOpOuZe0WOsi/+Vfk2R5ilwxvRmIyjMvDYa2Q8nMqPx7aOTKJaQis+An7kD5rcZ2GiXtjrXUyGV4Ke4SOohKaqqpKRZRkYUQXRy63CNHlrqXIeBVv0kQDxia+5fwdZHtygIAcE8mdmuO8a3JB+QxBRVfzue8QBfRh6ihEkhyh9CRoPLblh2IXmulj/ehasF9+mHx6q2M8AvNYK7uzvS09Ph5qY7H3n1lbTBMGmgYVJ3mFhWjOTyv5BYdgqFVY//QZGkG9vxW8BZEAxnk2DY81vpRHDnszaQolqO4qoE5ImJIaL8UzdepGaMKcdJaYiYdoGjoB3YRppzndZ3o6vaTyQT4nTOQdwoPEMDNknzNm2OwS5j4SrQLuosqamxI+kPnM29RfkiHolh7n3xjkcfGLO0I+vsihIsjj5GwaZI47E4mBjQA2N8O8OYpV0Y/hrdi2VSWhBu88ObtR4SckgN8W2DjwJD4WWh3RghVfeoob9qEriRk4rPrh6vTfsOd/KgsScuppr5wNibdBMrHp2gTPZxDqRYPeRZbUgjVYc/ufst8qrIFZE9vnAYgQAvP4Nh0hBh6uKY+npMnre2UkkKNVAyRDdQLFG+pOs2thEPjiZBSiPFpBUsud7gsy0ZJyq5QoJSaRq9jimpSkZRVRzyxNGQKpRfwnUbx8iEGlxOgnZwN+0KK67ulnYncSRXC07iXO5hiBXKkvUELG2Ay2gEWYZp/SriRsEDbEw4gGKJElPD18wN0wNGwsfMVSt7iGTc7E+JwPePz6JCLqE8EGwSUjvE3dSmyXgqFFe88OqFGCW9jmxDpkgpN5JOOtS3DT5uEw53M0Pqb5MpSssTlUrEmHfrTG3GFYklWhLaDwO9W2qEsw2x52hxStKGegZjbus3GvwOiSlNwqyodbTOVXC1Hxb1mGYwTDSiNQYSbaxhUndJxJOSU3kPWRURtN5LuTTrmSsmVz8EXZYYKVa1f7zA52j2C464CKsUZaiUFYAYVMV/GyHEGBFKM/9xPVWXcR7LEg4mbaiB5WDSFra8AJ2PqSEH7L3iKziVsx8lUmXdFmMjLg1u7eHwBrhaxlQpkQixOfEQruRH/s0bByO9XqVVSLUVeJsozMOCqCOIKk6nPFkYm2BmYH8MdGvb4Jevqq8E4v3Y+fgOmlnZwd/Kjrrnn/cF/MX1EziUGE2xSKa26Wyo+quqsPWo/5Ebp6V0AAAZ/klEQVSkR5h760xtWQGyJxaG9FF7SQHyjiUpxAdTlfW+PvLvjo+b92qwJH9JPYWfU0+gMq8cF4buMhgmDZakjg1Up2Hy9NLLpdkglXLpn0pS/Ov/abPPEhMxAEw4NuCxLUH+zWNbKP9d+7M5RaMlQafVFEpLDnLdQv9N/0/5M/FyVMoLUSkrRKW8qPZvsayoFp/leWpiGXFhxfWkXhAHfhs4mARRI8qogS5JJm6HOGEUjmftRZY4lbJH4kg62vSg2TaWxk331f8s2ZAX26X8u9iS8BvKZEpvVQsLb0wPGAE3gaNWxEmwUnYkXMG2+MsgRdVI6+scSAuZ2fGbDu32cNIj7Iq9Q794K2QSLL97Ec6m5vgmtP8zIckJPgnJ0PCx0K5OX6Y0mUIBgjjL4zQsJuFl9A2/V0ogo7wUn137E7dylYY1qQq9vtsgtLdXr/eR1NSZefcA/spW4uI0puAfoTXnwXpExEcZDJP/0kbWpGFSV47kwBHLi1EiSabeCvK38t/JEMtLmlzkLHBgyfVUem14xHPjA2uuD8yMXcAyYkaMgLqFklmRjOPZ+/Ck/P/Isy0s2uN15xFw4rurezqV6eWJi+i1DYGWJ43H4mKs9xt43aVrg++qVWbiqQHEO0K8JMRbQpoD3xxftR6Ank7/LjTW2LleNJ4YRO+fO4TXPJtReHjSzmUkYFHEXxji2xqftOmsyenVTjuzrAwbIm7icmoKHE3NMKdrdwS7qO+AJIZOsViM/AoRCkQiaqDJFdUgnkLZ33/Lq6uhIEYR+bu6GmZcHqz5fFiZmCj/5v+vvTMBr/Fa9/ifzIPMMokhA81kDEJCzMTR3kNLT123VbRVRatUp1uXogNt9Tool1a5xh5tVYsYTqkpiQgxk5DJFJLIJDLHOc+7tqQRSewkO3t/e+33fZ48O+Hb37fWb63v+/5rrfd9lwVamJpqbTZM45BrOCFxWXMxBl+dJpH9AKbNjfB57+F41luziRJLysvwRswGxGQmi1Is6jYGw1s1LKKPEq8dunwco7sM5xkTbXQSJVxDW8KkrrrSElBOaQrySq4JkVJcnofi8lyx7CI+H/5eUp4nZkeqGiV/a9bMSCSBI8dbmtmgyBhK9W5h7AgLI4dqn44wN7KHtYmr3i/HqNt/MotvY/+dH3Eq+2ilY2trC2+McB8HH2vd51WhUVFE2lGsS/4NheWqHWw723XAm+3HwtVCN4nJaEZiRfzv2JgUXclsTNsemOE3RGRy1YWN3bcZnR3d8X5Qf3F5Cg0d/ttasUTzj2HjtLaRW2PrXlJejvmHD4IGK//RwRfeDo4i/b2jpXrhyvS9zIICpORmIzErC9dyc1UCpOA+Mu7fR0ZBAbIKC4TgaKyRb47dQ5HiZGkJL3sHtHdwhLeDA9ra2sG9hY1e5n05f/c2Jv/xc6UP0usBvUSmX02ms88vLcKkqO9xKTdNOIevC52EALuGiU8lvKca25fq+j5H5VSjo08NTss15SLRVxUx0kThb03ZCbVxbhoZ0pLNscy9iL93uvLl6mjqguFuYxXh2EovmOi757AhZRdSC1Q5cqyMLfCq1ygMdgnWyUiVZia2XzuFVQkHkVmcL8pEG5XN7fxXdNfxbsA7Uy7h/agIfDdwNIJd2mBTQhxi02+I2QAK/R3ppXuRqU7fjku7hTkH/4mto1+AtalpnV8hEfPTpQtIzc1Bak6O+LyWm4OCUlWmWnWNksZRqCwJDXr5UrQI/d68eTOxSSE9Ru4VlyC/VOXQrK7ReVu1sEEbW1u0trVDewcHdHFxg69TS8UvTWUW3seUQ9txIv2GqG5PZw98ETpCo75Id4vz8cLhVbhTlAcnM2t8FzKxQbsR69N7St2+U/U4FiZ6LEwa0uCG9p2CsnzEZB1E1N39lcnRVC98Gwx2HoXejkNh3Fz3a/lnchKwPvk3xN9T+bmQ9XHqgsk+o+Fg2jThjHX1BRJJ+9MuYNnl3yszt9LL6yWvEEx5agDMjXQTlly9zOTQmnovG3cK8mFrZo4Pug3AsrPHMLVTCEJcdZPPpb732PxDB1Dy4AG6u7nj21OxMDc2xmj/QIT7tBfLJ1WNlh78v1kqlh1qMhszM3jZOcDZygpOVlZoaWmJlpb0aYWW9G+WluJH3eynJIRyi4qQXVSInCqfOUWFuJ2fj6tZd3El6y7S7z8erVe1fLRE4t/SGV1cXdHZ1U2IFRIvzRQ2kKJtCShq54erquVdS2MTfBg0EOM6aM6hmxKwTYhci8LyErQ0a4G1IRPR1rp+M6EsTOp7l+n58bI3uJ43j9rFv1GQJGZH4nKOoexff44m21j6INRxGDrZ9YJJ87pHp2pfrBEHXrl3Df+fshOnslV7yZAF2HgLXxJ/26bf26Omoh/PTBLhv+dzblb+Nzm3TvMdhHbWTo2orea/So6iFAJ6PT8HXZxU+4gM/GW1iLDo667bfDPq1nZVbAy+i4vFEC8fDPVuj6KyMqw+eQIBzs5YMGDwY6cZs22L8AFpY2snlk/a2dlV/u5gYaGTl/294mLcyMtFam6umMG5Rr/nZONSRgayilRJ7Kqbg7mFECm9PVpjkJc3PO2aNgpR3fag43anXsZH0XsrE/D1dfPEopDhGst5Qts1vHF8A4rKS+FsboO1IRPqtX+U7O8pnjGp1ltlb/D63Jz6dmxReQFO50QhJusArhVcrSy+cTMTdLULRajTMHhY6uZlX51lcv5NbEqNQNTdPx1vvaxaYbznMwiy99PJy+Vybhr+99J+RGb8yY6yVs7wG4rABq6Fa6IPUep4MyPjWn0XaHaHRt40up8bsw85xUVY0W9kk2X11ESdqp7j6LVUjP/lR0zt0Qsze6ucdo9dT8W03TsRN3mqpi+n1fOJPcbycnH6dtrDn9u4mJGOkofRXFULQ8JkkKcXBnl6I8i9lc59VTIK7+O/o/dg33VVPqoWJmaY13MwnvUK1Mj9eSIzGVOPb0TRg1K4mNvg+5CJ8FAz94/s7ykphMnLL7+M9evXP3bDRUREIDw8vF43ouwNXi8YenAwPfiS7l8SyzVnc6LF5noVRv4jvR2HiNBfK2PthbHWhe16wR3QjqGHM05VHkaZHP+r7V/Qt2VXsUGXtu1mQTYoEdSum3+KJF8bVyFIerf01shDuCF1yikuxLrLJ7HuUizmBw+tNQkWCZIN8aew8nwUAhxcsSB4KNq0UE7SNJrVKSwtRQuzmvdLyS8pQdDqFVg2/GkM9vIRgupSRjom79qBrc/9TTiUymTFZWW4nJmB03fScPLWLRy+loK8YpWTd4XRklS/tp5CqNCnrbluHKzp+bI96QLmxuyvzHlCUV8Lg4eqvRxWV9tFZyRieswmFD8og5uFrVjWaWX55Jkj2d9T0giTI0eOYNOmTY/0AT8/P9ja1i+rquwNLssDLqfkLmKzD+FE1h+P+I40hxECbIPEfjZPteiskxd9TYzTCjOx5doeHLxzQmScIXM2c8B/tg3HQJceOkmSllNSgDVXDmFrSkxlPhJ6KE73HYRw90CdsaOR6poLx7Ep4TTul6mEZkdHV/w24uVau++5u7dhZ2aumCyu5JdBL9wDyUk4lJqMkb7++J+wAbWWf8quX1FaXo6PwvqjnZ09Fh07LCJq5oQN0NlLWVvPCqr3qbRb+D05Eb8nJyE5R7X3U4WRQ+3Adl4YExAoRIoudntOu5+H2ZG7cTQtRRQr0MEFK/uP0kh/i8q4iukxm1HyoEzsSEzixN2ybmEt+3tKGmESGxuL8+dVG601xmRv8Maw0fV3i8uLcDHvJGKzDyPh3pnKyBoqF+Ud6ekwAN3s++p8c72qnDKKsrH12l7svxMNCgMmczS1xd/aDBU7AJvowPG2sKwEm5KjsfbqEeSXqUaq9qaWeK19fzzfrrtOykRlSC/Mx/+dJ0ESB9p4jczcyBgvtO+MV/17opV1/QYZ2u6vSdlZQojQz4lbNx4Jz21jY4uD4yfVOvuUmHUXa0+fwoWMdGTczxehznP7D0QPd/k2aHtSu9TFkXK8POcXgDH+gWhrp91ZMXI8Xnr2KP5+NlJUwc7UHH8P+yvCNODLRHtMvXVisxgg0OBgbe8JcKtDnMj+nmJhUu0ukb3Bn/RQUNr/0941l/PihO8IiZKqSzXmzS3R1T5UCBIPC2Xtz0NJkLZd/yf2pEWK7c/JbE2s8XzrIRjuFgozI+073pY9KMeO66exMuEA0ovuPXzxm4hIm5e9Q2Gto3wk6QX5WHUhWsyQUFQEmZWxKV7y7YZJfj3gZGGltG4pykPT/OQvsfNKPPYmXkVKtZE+hd9SkrSBnl5ixE85P+qKQqH9fE7cvAlyYA1wVmX1rfCfUSQALRSKZp72XE3APy6eR9xtVQh9hZHT7Bj/jgj38dHIsoq61dl//QpmHt0plnYo38w7XcMwJbB3o32ajtxJwIzYLUKceFjaizwn5Bhbk8n+npJGmPzwww8wMzNDQUEBOnbsiDlz5mDkyJFP7Gt5eXmgnwqjbaRDQkIQExMDNze3J36fD2g6AnHZkdh3extK/lVUeRFKF9/OsgM624XA16aLIiJrqhOIzjyH1Yk/oezhDImVsTn+4tYHg12DYWFUs59B01FUnZkedtOOb0RSfob4m3xZaLmGRImjuXVTX77W8x+6mYQ5x/dVOkNaGZtgjE8nvODT+bFQWZ0VsoYL0zLLtIjfhGNnVWthaoZeHq0R2roNglt5wLZauK+S6qBvZaGZlJ0J8UKokINzhVHul3n9BiKktfbCwylE/YOoCCTlqZadxngHYlbXfo1GGpWRiI/P7BCzqx1auGBZ8Lgal1TT0tLQs2dPJCcno127do2+rtJOIIUwWbp0KYyNjREQEICcnBysXLkS+/btw7Zt2zB69Og6mc+bNw8ff/yx0tqFy8MEmAATYAJMoE4CBw4cwIABtfsu6Ss+RQqT3NxckCJ8knl6eopZkupG+z3QrAfNhFy8qNpnpDarPmNCCjQsLAyRkZFo3Vr3+6U8iYEm/r9CfRvSLJGh1dnQ6kv3BdfZMGZ8DbGdK2b2r1y5Ah8fH028BhR1DkUKk3Xr1mHChAlPBBUXF4cuXVQbeFW3L774Au+++65Y2rGweDR7Yl0nln3trqa6c53ldzDkNpa/jene5nbmdn7ii1MPDlCkMNEEt8WLF+O9995jYaIGTH6Yyf8w4zaWv41ZmFyHhwe3sxqPfMUfIqUwoaWcXr16CVFS3xBifoDzja34u7YBBeR+zf26Ad1GL77CfVu+vq33wiQ1NRWU+XXs2LHw9vZGdna2cH49ePAgfvrpJ4waNapeNxf5nCxZsgQzZ86EjY1cGRfr8rPhOterm+jdwdyv+V7Wu06rZoG5b8vXt/VemGRlZQl/lJMnTyIjIwOmpqbo3r073n//fQwbNkzNrs2HMQEmwASYABNgAkogoPfCRAkQuQxMgAkwASbABJiAZgiwMNEMRz4LE2ACTIAJMAEmoAECLEw0AJFPwQSYABNgAkyACWiGAAsTzXDkszABJsAEmAATYAIaIMDCpBaI5eXl+Oqrr7Br1y6RPbasrEzswTN37lwMGjRIA+iVeYr9+/fj+++/x/Hjx5GUlISpU6di+fLlyixsA0qVkJCAN998E0eOHIGVlZWI5vr888/rlYSvAZfV2VeuXr2KL7/8EtHR0SJ03tfXt94h9DorfAMvTFtRbNq0STjEk3M8RetNmTIFkydPRvPmzRt4VmV/be/evfj000/Fs4qiVFq1aiX2CqPnla2tsndl1gTZ/Px80bdv3ryJEydOiAAI2ay2xKOUr4ueYTIZC5NaWpM6OiXrGT9+PIYMGQITExNQx6DNAn/99Vc8/fTTMvWDyrpQmPSePXtEHpjt27dj3Lhx0ggT2kcpMDAQbdu2FZs8pqeni7Dw8PBwbNy4Ucr23LFjB6ZNm4bg4GCQKKMcP/XN7aNvYKjvUhtTqgAXFxeROuCzzz7DjBkzQBmhZbQtW7bg7NmzYmM3e3t70ca0D1i3bt3EvmGyG72c169fjzt37kgvTOj5XFVskgiVbfsUFiZ1zJjQyINu8gqjLchJiVN+E3rYyWj04qoYVdKulSTAZJkxWbRoEebPnw/KfePk5CSab/PmzUJ80UjTz89Puiat2p6U7yc2NlZ6YUJpA1q2bPlIW5IApfxGJE5r2l9LuoYHsGbNGrz22mtiFsHd3V3GKoo6Xb58WTyXaYb79ddfl16YUP+ueH7J2qgsTOrZspMmTcLRo0cRHx9fz2/q3+GyCZN+/frBzs4ONItQYcXFxWL08cknn2DWrFn610j1KLGhCJOakGzYsAEvvfQSbt26BTc3w9jc7ueff8Zzzz2HlJQUMYMkqw0dOhSdOnUSgyjaaVf2pRwWJrL25AbWi0afAQEBeOqpp/DLL7808Cz68zXZhImzszMmTpz42HostWnv3r3x7bff6k/jNKCkhixMaOaAMkHT8p2RkVED6OnHV8g3rrS0VMwAUl9v06aNWHqW1X788UfhB0e77J46dcoghAk9xzIzM4XYfPXVV8VmtbL1aZ4xqccdu3TpUrz99tv4448/EBYWVo9v6uehsgkT8hNasGCByApc1fr06QO62WmEKbMZqjCh5SsSnuQI+tFHH8ncxMIvjpZuyMh3il7c5OQto9FeaOTwSr40JMLouSzzjAk5OFNQAvmLNWvWTAhOWp4kx25Zltsr+qlBCZPc3FykpaU98R719PR8bB360KFDoCnDt956C7Rzsb5YY+osozBZuHCh2HW6qoWGhsLV1VWMqGU2QxQmt2/fFg9yemHTi4vEqcxGDrDkuH/hwgUhwn18fECRdrKNqKkNP/zwQ1E3elmTX5zswqSmfjt79mx8/fXXuH79ulRLlAYlTGoLt6re4HFxcejSpUvlP9PNTjMktPfO1q1bhVrVF2tonal+sgkTXsoxDOfXinuTRHn//v1RVFQk/MIcHR315bbVSDkpXJqcQil8evTo0Ro5p1JOQg7sHTp0EJGDISEholjUxs8884wITKB6W1tbK6W4TVYO8qehSKzdu3dj+PDhTXYdbZ/YoIRJQ+AmJiaCpvopYoPCtGiTQEMx2YQJO78ajjAhMUIDCfI9iIqKktr5s7bnEfmbUAQSzRJWX77U92dYxexIbfWgWTLK3SO7xcTEiBlBFiayt3SV+tE0ME3zU3gwLeXQpyGZbMKEwoVpeptGWxWjZ5oBoyRrsoYLV+2vhrKUQ8kQn332WRw+fFj8UMSGIRrNIPTt21fkXnr++eelQkBh36dPn36kTvQ3+QCuWrUKPXr0EDlcZDeKJCTfxxs3bojlaFmMZ0xqacnCwkLhMEczJpR8ixI1VTVK4iSj0UubpgfJ3njjDQQFBYFCpMn0fTq4IsEaCa6qCdZoZC1rgjVyEKTRFNmKFStEf16yZIn4m2aQquf7kKFPU4bX1atXC18wejFXNX9/fykHGCTEaPmCRJiFhQXOnDkj6k/PLbqfDWGmV3YfE3pOUdZxShJJRs6v1M/J75H8TGQyFia1tCbF/pMTbG1GydZktLp8UmSoM2U/nT59uliPtrS0FLMlNJNCD3MZra5+TGvx5IMhm5HwJIFdk8laZ0pJTjMjJDwprQExILHyzjvvSCnEampb2YUJCZCIiAgxO0JtTD42r7zyinie6ZPfozrPGxYm6lDiY5gAE2ACTIAJMAGtEGBhohXMfBEmwASYABNgAkxAHQIsTNShxMcwASbABJgAE2ACWiHAwkQrmPkiTIAJMAEmwASYgDoEWJioQ4mPYQJMgAkwASbABLRCgIWJVjDzRZgAE2ACTIAJMAF1CLAwUYcSH8MEmAATYAJMgAlohQALE61g5oswASbABJgAE2AC6hBgYaIOJT6GCTABJsAEmAAT0AoBFiZawcwXYQJMgAkwASbABNQhwMJEHUp8DBNgAkyACTABJqAVAixMtIKZL8IEmAATYAJMgAmoQ4CFiTqU+BgmwATqRSAvLw8dO3ZEz549sW3btsrvTp06FZs3b8a5c+fg4eFRr3PywUyACRgGARYmhtHOXEsmoHUCtJMvbdO+fv16vPjii9i7dy/Cw8OFMKFdndmYABNgAjURYGHC/YIJMIEmIzBz5kysXbsWtCX9iBEj0LdvX2zdurXJrscnZgJMQP8JsDDR/zbkGjABxRIoKipCUFAQEhMT4ejoiPPnz8Pe3l6x5eWCMQEmoHsCLEx03wZcAiYgNYE5c+Zg4cKFmD17NhYvXix1XblyTIAJNJ4AC5PGM+QzMAEmUAsBmiHp3r07/P39cenSJZw8eVL8zsYEmAATqI0ACxPuG0yACTQJgZKSEgQHB8PKygoHDhxAnz59UF5ejujoaJiYmDTJNfmkTIAJ6D8BFib634ZcAyagSAIffPABli1bhjNnzsDb2xvx8fHo2rUrZs2ahQULFiiyzFwoJsAEdE+AhYnu24BLwASkIxAZGSkicL755htMnjy5sn7Lly/HjBkzcOzYMTGbwsYEmAATqE6AhQn3CSbABJgAE2ACTEAxBFiYKKYpuCBMgAkwASbABJgACxPuA0yACTABJsAEmIBiCLAwUUxTcEGYABNgAkyACTABFibcB5gAE2ACTIAJMAHFEGBhopim4IIwASbABJgAE2ACLEy4DzABJsAEmAATYAKKIcDCRDFNwQVhAkyACTABJsAEWJhwH2ACTIAJMAEmwAQUQ4CFiWKaggvCBJgAE2ACTIAJsDDhPsAEmAATYAJMgAkohgALE8U0BReECTABJsAEmAATYGHCfYAJMAEmwASYABNQDAEWJoppCi4IE2ACTIAJMAEmwMKE+wATYAJMgAkwASagGAIsTBTTFFwQJsAEmAATYAJMgIUJ9wEmwASYABNgAkxAMQT+DU+4LDh3QDoIAAAAAElFTkSuQmCC\" width=\"499.9999891627921\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yc=-0.5*x+1  # retta che rappresenta il vincolo\n",
    "\n",
    "plt.figure(figsize=[5,5])\n",
    "\n",
    "# linee di livello della funzione \"function\"\n",
    "cont=plt.contour(x_grid,y_grid,z_grid,12)   \n",
    "plt.clabel(cont, fontsize=8)\n",
    "\n",
    "# retta del vincolo\n",
    "plt.plot(x,yc,\"k--\")     \n",
    "\n",
    "# posizione del minimo\n",
    "plt.scatter(res.x[0],res.x[1],marker=\"*\",c=\"r\",s=80)  \n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"y\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternativamente possiamo rappresentare l'andamento della funzione $f(x,y)$ lungo la retta $y=-1/2\\ x + 1$. La posizione del minimo è rappresentata dall'asterisco in rosso."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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=\"599.9999869953505\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# calcolo della funzione lungo la retta yc\n",
    "zc=function([x,yc])\n",
    "\n",
    "plt.figure(figsize=[6,4])\n",
    "plt.plot(x,zc)\n",
    "plt.xlim([0,5])\n",
    "plt.ylim([-13,7])\n",
    "plt.scatter(res.x[0],res.fun,marker=\"*\",c=\"r\",s=80)\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"z\")\n",
    "plt.title(\"funzione z lungo la retta y=-1/2 x + 1\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}