3-Inverse Kinematic-SOM.ipynb

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   "source": [
    "# SOM Regression zur Inversen Kinematic\n",
    "\n",
    "Dieses Notebook implementiert einen Ansatz zur Inversen Kinematic von Manipulatoren anhand einer MultiOutput Regression mit Self-Organizing-Maps. Zur Umsetzung wird das Susi-Framework genutzt, das Verfahren wird gründlich in diesem und den dort verlinkten Papern beschrieben: [SuSi: Supervised Self-Organizing Maps for Regression and Classification in Python](https://arxiv.org/pdf/1903.11114.pdf)\n",
    "\n",
    "## Kurzgesagt\n",
    "\n",
    "Susi nutzt zwei SOMs zur Regression. Das erste SOM clustert die Inputvariable und bestimmt die BMU. Das zweite SOM ist identisch von der Anzahl der Neuronen. Die Gewichte des zweiten SOMs werden allerdings als Output für die Regression trainiert. Die vorher durch das unsupervised bestimmte BMU wird im zweiten SOM auf die Groundtruth-Daten trainiert.\n",
    "\n",
    "<img src=\"https://www.researchgate.net/profile/Felix-Riese/publication/332034881/figure/fig1/AS:741272549588992@1553744556231/Flowchart-of-the-unsupervised-SOM-algorithm-resulting-in-the-trained-unsupervised-SOM.png\" alt=\"drawing\" width=\"400\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e7bb34c",
   "metadata": {},
   "source": [
    "Zur Generierung der Daten für den Youbot erstellen wir einen Datahandler für einen Youbotroboter und stellen die Berechnung der Extrempositionen auf `True`. Das bewirkt, dass bei der Generierung des Datensatzes die Extrema der Winkelpositionen für die einzelnen Gelenke ausgewählt werden und so ein möglichst großer Bereich des Raumes, den der Roboter erreichen kann, generiert wird."
   ]
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  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4e6377ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.robot import Robot\n",
    "from src.datahandler import DataHandler\n",
    "import numpy as np\n",
    "\n",
    "datahandler = DataHandler(robot=Robot(robot='youbot'), euler=True)\n",
    "datahandler.compute_extreme_positions = True\n",
    "positions, tcp = datahandler(1024)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf3f0891",
   "metadata": {},
   "source": [
    "Als nächstes importieren wir die für die Regression benötigten Module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fa9af4e1",
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    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'susi'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msusi\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmultioutput\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m MultiOutputRegressor\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m r2_score\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'susi'"
     ]
    }
   ],
   "source": [
    "import susi\n",
    "from sklearn.multioutput import MultiOutputRegressor\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63946092",
   "metadata": {},
   "source": [
    "Das Susi Framework hat einen SOMRegressor. Hier kann die Anzahl der Neuronen über `n_rows` und `n_cols` gesteuert werden und die Anzahl der Iterationen der beiden SOMs gesteuert werden. In der [Dokumentation](https://susi.readthedocs.io/en/latest/SOMRegressor.html) gibt es eine genaue Aufschlüsselung der Parameter. Der Estimator kann im Anschluss mit einen MultiOutputRegressor aus Scikit-Learn trainiert werden."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "4fa12e01",
   "metadata": {},
   "outputs": [],
   "source": [
    "som = susi.SOMRegressor(\n",
    "    n_rows=500,\n",
    "    n_columns=500,\n",
    "    n_iter_unsupervised=3000,\n",
    "    n_iter_supervised=50000,\n",
    "    n_jobs=12,\n",
    "    train_mode_unsupervised='online')\n",
    "\n",
    "mor = MultiOutputRegressor(estimator=som, n_jobs=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "857c2660",
   "metadata": {},
   "source": [
    "Ein zuvor abgespeicherter Regressor kann so geladen werden:\n",
    "```python\n",
    "import pickle\n",
    "\n",
    "with open(\"multioutputregressor.obj\", 'rb') as f:\n",
    "    mor = pickle.load(f)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3409f86b",
   "metadata": {},
   "source": [
    "Standardisieren Sie die Eingangsvariablen, indem Sie den Mittelwert entfernen und die Varianz auf eine Einheit skalieren."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "53452f65",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Standardize the data\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(tcp)\n",
    "tcp = scaler.transform(tcp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1acce87e",
   "metadata": {},
   "source": [
    "Über die `fit` Methode kann der Regressor trainiert werden."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "b07c006b",
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    "scrolled": true
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       "                                            n_iter_supervised=50000,\n",
       "                                            n_iter_unsupervised=3000, n_jobs=12,\n",
       "                                            n_rows=500),\n",
       "                     n_jobs=12)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-34\" type=\"checkbox\" ><label for=\"sk-estimator-id-34\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MultiOutputRegressor</label><div class=\"sk-toggleable__content\"><pre>MultiOutputRegressor(estimator=SOMRegressor(n_columns=500,\n",
       "                                            n_iter_supervised=50000,\n",
       "                                            n_iter_unsupervised=3000, n_jobs=12,\n",
       "                                            n_rows=500),\n",
       "                     n_jobs=12)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-35\" type=\"checkbox\" ><label for=\"sk-estimator-id-35\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: SOMRegressor</label><div class=\"sk-toggleable__content\"><pre>SOMRegressor(n_columns=500, n_iter_supervised=50000, n_iter_unsupervised=3000,\n",
       "             n_jobs=12, n_rows=500)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-36\" type=\"checkbox\" ><label for=\"sk-estimator-id-36\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SOMRegressor</label><div class=\"sk-toggleable__content\"><pre>SOMRegressor(n_columns=500, n_iter_supervised=50000, n_iter_unsupervised=3000,\n",
       "             n_jobs=12, n_rows=500)</pre></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "MultiOutputRegressor(estimator=SOMRegressor(n_columns=500,\n",
       "                                            n_iter_supervised=50000,\n",
       "                                            n_iter_unsupervised=3000, n_jobs=12,\n",
       "                                            n_rows=500),\n",
       "                     n_jobs=12)"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mor.fit(tcp, positions)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2f69827",
   "metadata": {},
   "source": [
    "Zur Generierung von Testdaten muss die Generierung von Extremwerten wieder ausgestellt werden und die Eingangswerte müssen standardisiert werden."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9e8e72b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datengenerierung: 0.00 Sekunden\n",
      "DH Transformation: 0.10 Sekunden\n",
      "Euler Winkel: 0.03 Sekunden\n",
      "Normalisierung: 0.00 Sekunden\n",
      "Gesamt:  0.14 Sekunden\n"
     ]
    }
   ],
   "source": [
    "datahandler.compute_extreme_positions = False\n",
    "positions_test, tcp_test = datahandler(1024)\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(tcp_test)\n",
    "tcp_test = scaler.transform(tcp_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d64c2e88",
   "metadata": {},
   "source": [
    "Über die `predict` Methode sollten die TCP Werte durch den Regressor die Gelenkwinkelpositionen vorhersagen können."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5fd83f39",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred_test = mor.predict(tcp_test)\n",
    "y_pred_train = mor.predict(tcp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de44cfae",
   "metadata": {},
   "source": [
    "Was aber nicht so gut funktioniert, wie Sie sehen können:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1a68a8b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train: 28.4 %\n",
      "Test: -15.6 %\n"
     ]
    }
   ],
   "source": [
    "print(\"Train: {0:.1f} %\".format(r2_score(positions, y_pred_train)*100))\n",
    "print(\"Test: {0:.1f} %\".format(r2_score(positions_test, y_pred_test)*100))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83e6c515",
   "metadata": {},
   "source": [
    "Speichern Sie den Regressor ab, wenn Sie wollen:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "b2cec2bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "with open(\"multioutputregressor.obj\", \"wb\") as f:\n",
    "    pickle.dump(mor, f)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0563c57",
   "metadata": {},
   "source": [
    "Wie gewohnt können Sie sich die Ergebnisse mit matplotlib über die RobotAnimation anzeigen lassen."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f919170e",
   "metadata": {},
   "source": [
    "### Regression auf dem Trainingsdatensatz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "7bebf84e",
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       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.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",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * 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",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.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 icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib widget\n",
    "\n",
    "from src.robot_animation import RobotAnimation\n",
    "\n",
    "i = np.random.randint(0, len(positions))\n",
    "ani = RobotAnimation(robot=Robot(robot='youbot'))\n",
    "q_arrays = [y_pred_train[i], positions[i]]\n",
    "ani.draw_robot(q_arrays)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "559e3ca8",
   "metadata": {},
   "source": [
    "### Regression auf dem Testdatensatz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "2a21e6ad",
   "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(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.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",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * 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",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.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 icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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>"
      ]
     },
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     "output_type": "display_data"
    },
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ydf03anrG/lxCcb429/+JrfffnvhI0c6t9i397KI3Lp+Mh78p+CDA8Stttpq3n289NJLCwBhche6+gACqDCjcuj1rTBGNDYEH6imkDHEynkbQz4AQMyN5HDua+EbwwwMF2XXwpxi9jcBIf8vFo2Q2d86dwgNJMmAsOsMj9b7GQCO1nzm0QyZBKoCPZq6iQ8g2j/ex+QbIiq3qU3+XhaRW/UeoIUoX6Ji6aNJ5OzSlj4DCCIjyAorrDDuNQAz2tI6jZiavfCX7GMBvAKcAYFKOaOk1GiTNOet5jHuwvEYQz6Qj0Oq3GcAiPkXLTuR6qELc8r3YfIQcokzfUKhXApxsfOhRFLKGb2cavtZQxh6BQx3fRkADvf85N71WAImt1+Zr1/V0PBJIsoXjRhRvqnSktGfsoCMsn6i4SDKF382TL5deNMAQWgOcV43iwsAxKcODeIoAEBbznbOW8i0AVsm5YyZ0WIQnwoAkCwbAPi+ljvvvLMInuBbi11MGiG+IeZUQb7Oa1teSeriQgaPp2+xASHvqw8h37ZGGPvsY759yM+nl0AGgOllnlsccQmUcfu53PDRdmFSwx+JQlRiW61aWxGX+eOZdYUw+dp9w29plVVWKYh4fQEgwTH0GROwi4zbyiXWe6YGsKkN1ocZfIDGB+2RqU3qAsSb2i/7Ozl0ASx9BoBEACNXLjKpSxnIx6Rumoxdtb4ASgB5iJzGGRCmXgmDaS8DwMHIPbc6ohJoa/KFzw6tHzdtNBFEttrZMVKIrMwfT9tVky99xVwWCpwSxIF/Iz9tASBRwH0KntBx+gBAe/7NjBZosEwCY81oEVt7DADEVYEML30t+NgSuU6A1aCL8koq0KdfqvVVUIjGtaywBiDmjpHSrgoQsr5MYuqsIRz0CvJrPwNAP3nlp7MEKiXAbR6QpBk9XDRSbKyYoND8YQaFT41N1McXL+SU4I/HYW6bY0OafO3+AnZpb+WVV/YGgMgbs3VfASDaT+Y8RCaXMgJjMxoVc31okHzttdcWWsg+A0BSFXKpIRvNsBVYAzDtalAJWl+TaBygr0Tj+DHCEQqRe+xSBghZW7YPYQaEsWeiW/0ZAHaTX347S6Bw3ldi5ypuvzIxocHhAFX/IzMThqsvXmjx2+ZYxqPk022jfJv6eNVVVxX+jpiBzcLhx08daEGGZBKBCDq2tqtpHG3+HhIAmu0zb/hHakAJAMKkJ1HKGZdLSt24WL8EKHF56Wshih3t6XrrrTf0QzCJxplTgCsAHO0g65/53nTTTZOPwwSE+u8MCJNPg3eDGQB6iyy/kCXwggTamnw1VRrmM0y+tjN/nSk2pvxNcyzaNfgHoZeIST7929/+tsgCsuqqq3prABUAwpkYkx8xlsxjAUC7vzY9CeDBjEZFk8Ra9AWEEH/D/dhnAMgFB7AM1VLfiukGQEo7tMB1mWdSjU9BIJcOLWZQiZqONf1lqn7ldsZLIAPAvCKyBFpIoA23H82YQRRw3+E8X3boVlGjtOiq1ytqjkWrgE8imgV8o2IGFwAA0X7aIMIlChiNCObyDAC9prnQBqI9Ug0hZkYAtAaUoCGs8jUzWwIAYlq2wbtfbwb79M0331y4bqy77rqD7UjH1gkeg9IGTToAn0um7ReKS8AgLkomIOTfCvxsH8IMCDsuAs/XMwD0FFh+PEuADUzNk0jDddPidg5NAxq1piCKqsjY2NLHHIvp5oEHHhDSs3Gw+2qFfPt4zTXXFMDD9iPzAYCkv4oJUn3H5Pp8Kg1gU39wYSDgQH3N+DcA0KScUV8zsy7WM6CizwAQvzm+Z1Ly9blAaH3vvfcW2notZX6haGx1Xpm7QbhO1AFCvmPNYxzaZ7XP8xuj7xkAxpBqrnNkJaDcfmracN2gAFSYU9l4cTZvAitVgRExBasBFWzOUNBwOKQoAEA0jTaViAsABLiQvSQDwLAzVeZrVmZaBAAyd7b/ZtjexK3tpptuKjTzXHj6XFz4DDUVoUYZ881roBDzyL9d97SQsrIBIcCVPhIYlgFhSEmPrysDwHiyzTWPkARMk69PlC/PkiaNSENMTGxoLhq1Kr+4WCLFFAixMwVtTsrcrpiaOXjaAEDkS/5iyG/LNFSx5BWq3mHRADaNB6BgchACJNAkARS51BDJPAhNUlO/Xf4OdQrfJEFOfS7Q2WDKd+UzZE8zc1Mzv8ynGTnOHA8CEBLRzL7JRZR+UsqylAyib31eI3bfMwAcpdnMY4kigbaBHmyugCo2VUy+bKau5eqrry6oQWI71zM2fKD4QQMCECzTxrn2u81zyAjZ2OnEXDSACgBnzJjxokCaNn1J/U5fAKAtF4ImMBezbtDCmhHGAMJBAYc283fDDTcU4BUQ2+dCNDPuJW3pbNgL8BlUNwB+8//YD5SDkHl1ucB2lSOmbC7Nm2yySVFVlcnY5CBkDjMg9JN8BoB+8spPv8Qk0DadG8nlcZCH3oToQl/tSJVWLKT4MbNglgaoAlC5+fPfBICk1ABWtUlKPMAzAQlVjuscDOedd570GQAia5MCKOQcx65L3Rq4rJg5jPluFDQwf6Hy3cYYDxycmBlTrvkY4yCamW85FJ0N3xaBQmYeY/qt88pv3AJiAEK+fQJaNtpoo1JRqUVGtYM8RD9MQMi/Y/QtxtwNqs4MAAcl+dzuUEugLbcf2hA0CjhkcxO3CZVdB41WjM011qGkJl+0NUT5KsDCpwui2ZTaELtNwAOHMjLkYEbbhOYBIEF/bT+lc889t0h/5RK16ir/VM+hAewzAGSdAl7NLC4KHFSTBIBAM2MGlLTNdxtjXkifBg2TrYGO0VbMOglmQWseK5qZeYWIWucVczPzaqata0MlVCaTsoCWOtmZgNCMMlZAqLmMMyAcL8UMAGN+kbnuXkpATb4EJ6DZcPXb47bMgcimiEaNzbBtiQXETJMvUY8475ubIlpLDsOU/lBmm2gw0H7ST3yZAID4n3HoqIYJrSCHjgJCAmamT59eANe+lVEEgPYcAOgBDiblDP6aJuWMzYOZch5HIZ8x8sJnDlmnCmbReTUBIUDLzmPcBnSRn5l64UhtU8oAIfsylhgzqKRN39r0Z1jfyQBwWGcm92sgEtCMHmxugDlARlOaKzYbzBVoEgigADx19UUhwwIbVcjN3DT5QhUBf5tdOAzZJFNSYuhYOTgAviussEKhxVC6HVOW/D/8nBQQol1izgDqaKKYrz4Bwb4DQMD68ssvLyuuuKLz96r5bk3KGS5LpoawKUreuTGHB0chnR3DJJiFbyWl9t4UL3umpq3ju+TfJtDn+3b9NvH/49IQKj9zFSC0fQhfaoAwA0CHDSI/MvoSKOP2AwACkupMQ2ijOECgeUFjRUaLECU0EDNpaEyTr91XQCybYCwzUplskB+8c5qPVcGEgvE6MM2hAw0MJkgODOpBm6TaQTNXaoh5CV0HmVdYX331AURLjp+rDwC0ZWhmswAUAvBxfzBN/jHJi0eBzBqZDpsvow30+T75Nk2gX6X5De3PaK459Rtk79DgEs1S8lIDhBkAht7Rc329k4DN7afEzji4o5moulFzwwUkcqsF/IX0QWMzZ3Pqmp6KOvANYkMtM/nakxWqXddFgH8fWU+YA5LYc/BrcQGAPAsNDNGCBBoAyJkXNTcCKk0woTlTXfsX+7lRAIBobNv6upbJ1zb5o7nmImaSF3fVsJvtjgKXIePh8sYeZNMpxV7DrvXrt6maXwAh+6tpMlYqp5Tk3C9lQJgBoOvqzc+NnASauP2qzLC8h4kCAlm0N/yENh1gzkEz0pbSgclyMfnak0oAC8ArVCRh3aJBKwmAxtyHtsceqysARAMIXxgA0C5lYEJ5zmhz0HQlfQeA0BUB/kICQHsOTa46wINy1amGsCs1CRc96sLXt8+lb6Zs1fxqlDGXNb5hgD5zjnYwpSVC5161gno+6N5exkMYet9Pvf4yAEwt8dzeUEjAhduvzBwKoEBjwO2VQA82qxgFcAmAa+sDoyZfBVauJrSu7brIwgxEYYNn4+f/2aCTg55DoolCh1zA06ZNG6c9LOsHbSiYUA0h/88MRggVxegiB57JANBVUs89x3wpVx1zCHigmFokX8qZskhmv14Nx9N9T8tnko1Do8X3X5Z9JrW0bUBI+2oy1oAS9lcAYt8AYQaAqVdTbm/gEnDl9rO1YUqdwmEDMIvpqI4JBF8o3yg40+Trk3lEJ4VIQkCSazYB38lUAM3YNBClSuvoAwCnTp3qRbStYALwybzyg+mYjVw1S/yOHZ06CgAQ/z/MwIMoNjUJgJA5tCln6vrWJpBlEGNtanNUNJmMEx9o9ldM/2oyVjook4ew6XLYJLM2f28ChEo50wdAmAFgmxWQ3+mlBPhwMSsCLFzSuak2DM0UgAymfRc/uhDCwWcPQGImdm+qF40h2gw2yjaAiPrbAs+mvvF3DmcOWzZ1pXjh/1eZu10B4EUXXVTIySfTSll/WRsEkah2kH+jETQDSlw1qS7y4Jm+A0BSFhKAMygAaMvZjEQFOGhQkKnltVMGEsgS2o/Rdf5DPjcqQBaZlAXmaPYZNRmbvqGax3iYACF9MYNKhhEQZgAY8gvMdQ2tBFxMvnbnAUMcIGit+AkBMlwFBNjkAAPIuRT1p4MOBV+6tkClDfBs6p/pM0lADbQ6pqmkyuzsAwAxx5fR2jT1re7v6qOkgFDz3wImAIU2IXWbtkYBAOI7RyTwMJaywAP1M2MeAQ5ozoYJxLaVYwp/zLZ9832Pi6xysFa9W+YbagYL8e+QwUKuYyjTEHKOcPFgvQ2ThjADQNdZzc/1VgImt5/PLQyfGhjpMXERjdsWVLURHInd77vvvspUSFonmw1mWwAjfeQg6+KH4gs8m8bGAcxtHjALgC7zmawyO7sCwIsvvrgwlYcGgPbYVANhE1IrIGyTFqvvAPCqq64quC/hAuxDAdSbuW7xJ2RP0CAQQP0gtEghZIc2dpjBuM8YfemFTP9enV/2fQ34GmR+avqmZON8K/w3a84OKvE5m3xkWfdsBoChJJnrGToJmNx++tG5gCPMSPilwUbPoU6asdTlzjvvlLvvvnssGXpZ+wAStBeYQkJpJ4luRptIUEXXQqAMGzk0OWjobNOb1l9ldnYFgJdccknhk8lmn6poMIKCQQ6dNunOAIDQdoTij0w1fm2nbwDQlg/fDsAJ+hQ0Smj6TdAwKC1Sm3kkIw7a9b6uJXPMXcEs3yd+xmou5vvk/5nBQm0ubG3mhXdMqiHVEHLOaDGDSrj8M4dcSmKXDABjSzjXPxAJ8HEBILgFUpTbr6kzbBqYHyhoNdhAoBhJXdA8AkDhxisr999/fwH+IBDGRzGUdtJV89gkDwAsUdSAG3Ld1gHvm2++eSyq2qzXBwBi9mZzH1QpS3empLfqQ1gGgPsOAEcBdOgc8C3ZZkXmdVCgwXct9z2rjDne0N8FoIuALzM/NXtSl+hxn/nBPxNQZ+bM1vdNQMi/d999d9lvv/3kfe97n08TrZ7NALCV2PJLwyoBk9uPf7sCP8ZDOjdU9eTHJQUbGjj+36abbpp8uLSNNm7zzTcf1zYHkgakhDD52gNz0TzWCQPAjQwxX2OWdclwUeV3SF1oZJpMcpdeemlh/o5FydNm8uk7lwebkFrNxUpIHfqga9PXLu+MAgCsAk6qRTLTDrKfmBHGqWmD6ubq8ssvL/atFJqjLmvG5V3GQkpN/ABjFPZRGxCyz5iAMOTc+gRLbbPNNvKJT3xC9tlnnxhDH1dnBoDRRZwbSCWBNoEe9A1Nk4IWolPVnwkQhk/c9OnTUw1hrB14sAB6pvkZky/ayZgBKQDetqAX7SkmX7SRmKRdM6NU+R26AkAyiUB5M0wA0F4wSkitYALTI6ZGfNDw28I3aBAO610Xdt8BLON3BRuq5VUtElH6UJWYgNB1zXeVe9n7w3gRajvO1GNhbgnUYG41j7FJJ6R5jF1ciMrG7POdkNXo8MMPl7e97W1txef8XgaAzqLKDw6zBFy5/ewx8NGjnmfjRmNlbuDUk7IOAAAgAElEQVRlICyVDO69996CHmWLLbYomoxl8rXH02R6rho/YJlgD9We+oAZACCaMtvv0AcAQs/TJ80HpkbGDMjn4kIxgYQvmXGqdWm30/cgFsbDBaLN+inLdcv+YWp5q/xeY8wXwVBcYFP6wsYYB3WmCuyq6r9SQinY1yjetmDfdY2xF+DO8qMf/Ui23XbbWOIdqzcDwOgizg3ElIAvt5/2hffwdwNkVfmpYcYkN+6WW24ZcwildQP48KGbMWNGEeWLORgzZ+x0Vffcc0+RN9hV6wnwRkYARw6fNnQgjI3xbrTRRuNkQd1oyppMwH02fWFCXW211YpAGTUXm2TG6j84SM1S3eIfBb+zUNomLAlm0IHmoVbQoBQgsTaTUHyYsfrnUy/pHdkPzNzgPu+HfrYK7Jsm4zrSeFdwzrlEIM9ZZ52VxPUoA8DQKyXXl0wCbU2+mOPQVnGrQ+tXpTkiGpbntt5662Rj0oYAAwR5AAygriCKtivRscsgfLSeaLHQnjIPmHzxmWlTqgJPXAEgIAR+wVj+Qm3G5PpOmQ+dSWbMOiCamnVgapZiZqFx7TvP9Vn2Os5YUeSm2R9NkmayUFBPhHHT5cZnLupyYvvUMwzPnnfeeUUAXNs9JfYYFOwr4Ocbpa8m2De1v66Alr0UFyQ4HVPkY88AMPZKyfVHkQCHJBusS0YPswMKrNh8oQ6pM9GwaQNwUqjibSGhhYOKhqixlByEmJ4hZkbzWFd4DmoDMijgf9flICPaGeBpR1vrHDeZk/ushXIJouCwUVMU6xe/QZPwdpDcda7+c1E2gUCVpjI3Ko+k+oEyryF56oYdNLlOFyCIsbAHxU7F6NqnpueUNF6/U/yhlXAcLSGKBKwqXOTqCmcagXNYRfALjl0yAIwt4Vx/UAmoyZcPzofbj2fxtwJYESnHx9Xk0IuGkAN65syZQcdQVxmgBwDGBkD/tt9++2Rt0xBmb4Cn+h7ajdM/NUnjqwJJdtdSFXnsCgD77IfmAgBt+WIWV3MxvxVIqGYJTXHT2u46Z/p+n83vOoZBmE6VR9Ikpeb/tfUDVdBE0Niwugu4rjnMrWjMcL0ZFk23a9/1OYCc6Q7ApQ1AqN9olTsA3zMmYH6nCGrLANB3ZvPzA5NAW5OvEibzG1Ola8YIfHhw3k0FwjTKF3ALBQIatlmzZiWVN2bva6+9VrbaaqsXtau5hjUKOZR/TlXksSsAbAOikgq1prGufTeBhIJCpSrRwwatQyxA6OrcPizyLuvHhRdeWAQghVrPbcZq8tQxj4AHtOomIKybR76V888/v7i4pQw8aTPWpnfYX9DK4nrTxbLQ1E6qv7Ofc8nAksO88qPuADq/rD3mDWsIF2tkkAL8ZgCYahXkdlpLoAu3n5oqIeH0JUzm1saHu+OOO7buu+uLaN7w+SOIgo0C/7qU4FP7yeED8LT9HgGG9A8/O185NsmgKvLYBwASSNGXdGSmPLoCwDINLf5IamaEqkQJqdWHMCRA6AMFT9P6G0bfOZOWhLm055G5NM2jaIEBsn3Wmuk8AY4IzMH1JtbFpWlNhPx72XhMdwDm98ADDyw4CPH1PvvsswtrVQr/xwwAQ850riu4BMx0blTuSuzMBkqELzcqAEsZA3tTZ/lIuVUDAGNtRGryJRDCNKmmBJ+mHNiM4BqEjJSC/MnUwQ++fkQhh5ZFHek1N+EmH8A+pyMLDQDtNa2E1AoIQ0emhoqgbfoWY/6dbxyy9xQHbttxmPPIXJpBB2h6MS9ijh8FrRl7H24duge1ldmwvIc/IN951XjYY2F8APidc845Bfhlz8OcDwjmB27AkBc3lU0GgMOySnI/XiQB5fbTnIlNQEArMNO5caNic2xTAB/nnntuYQKOYYpAywfY4vaOado0QaUAn2UyQdNABBqbDuNHGwhooH+x+MWqqGdcNYAAQPgH21DQtFkXId9RGphU2kv1TULTyw9mfVwizMhU1+8MOXBYccEaZBq+rvNBwAEZd5oc9Lu2E/L9sqAD6uc7YC4100zINlPVpTnEy9xQUvUhZDv4krPPu9CJocX9wAc+ILNnzy6UD6xNfgDFp512WvCAxAwAQ850riuIBNTkCxjhgMEPzlXrhDmRrB5o/CB39TnM7M4DzObOnVsEgYT2x1DTtJp8bYCp4HOHHXboNAbfCdHAFzi4iIAGHMDvF3r8Zr+qqGdcAaBPmiVfecR+PjUAtMejuW/Vf1Bz3yogbCKkhkJl0HmYu8zRqARPsFfyHUyZMqUw/yuwV7M/33GXvbCLjH3fZSxcPKsC0XzrG/TzzAcaPjOrU1WfzjzzTPnCF75Q+GFr4ZvkvwlcDH0JzwBw0Ksjtz9OAmagB1owbkQuJljAGh8ZwMpM59ZFvHx4c+bMKW5doegIqky+dj+54WMOAPySkihVAQBiSgJww61HRJor+G7bxyrqGVcAiMaSaGQoafpWBg0ATXmVBSKY6bAAhXaEaSwOvVTzqMETfaIcKZONbTZVYK9RxuyPJmlxykhx37n0AUy+dQ/ieUju8emD17Cp/OIXv5Cjjz66MBmnKBkAppBybsNJAnY6N0CQiwkWkwHaKnwkMPmGokHgQEQVj19NCPOQmnzx56GfdVGHPINPyHbbbRfF96NsQjgkkCMbFptVChoC+mGnvTNvvi4+gABANB/89K0MEwC0ZVdGSM23pdpB1gccjH1OP6aUI32PnsVNg++gzGzKPoZbjIJBolApZoQx/o+xL3qu3yYBZ1BNuQAm1zoH+RwWDnzRbZ7Tsj6dcMIJcuqppxZm3xQlA8AUUs5t1EqgituvCQTxHh8WvHVoqtZcc83gZg40gKjuu1JE+BInK/jEcTgUoK2bBPW7AURzQOy0007JVm0V96CrBvCaa64p/P9CcBImG/TzDQ0zALRlodkP1FwMqAA0IHu0r4MkpG47b6MSPevjZ8Z3BWDUecTkamp6AYYhLrxt54S9Eh5UAh9GoeCWBAicOnVq43COOuqoggIHf78UJQPAFFLObVRKoI7brw4EoR2EXR2wQjq3WGnA8AHkJto2DZsZjexLnEw+yFDax7olCBEz5nNyIgOiMLunBIBoHPHbtLUXAAz+xoFUB4LRWhJE0UcA2OcIZvzMcBfAtAig4JvUzBZoCYfZzKjfg3K0sfZSulqEPhIAceyHTRl8yto1Nb1oCQGTuLyYmt4YEahVMiAoDG5QOzd4aJmlqg8lBXLlnGoqRxxxRKHQ+OlPf9r0aJC/ZwAYRIy5kjYSQMPHBlyXzg0TLOYZM5JXqUo4YDA/xdycMEGzEbVxvtVcuYyPKFrfaGS0j2zovu+5zgXyB3hx48YkTQqiQUQfl5FP0yd4BzmI8G9CI8GBpBGO5mENAITnsQ3Vj6usYj3XZwCITDSLBhpy5knpZmwzI/MWk5C67fyMCulwSL851fSqyRhwr2nNyr6/trKves9HYxa67Rj13XrrrYUJHgVAU/n85z9fKDV+8IMfND0a5O8ZAAYRY67ERwI+3H6mBs7kpCNTBuS/sf1WCMXn5sbG51NQ+XMj75IrFx9A6Cnaah/r+suGhOkUIAU4VQ3bIKKPTfJp5hj/HzZN6EXQ7CoHmlKXAFKVuoR5Ib1fBoA+qzPcs2iLMW3Za9Q0MzJvaKi4qKlWid8xL26uI0SLSSBL30mHuUSRQpL9InSx05pxsWW+1YcwtOkfiwRrxkVjFnqsMeqDQ5V1BsF/U/n4xz9e7MVHHnlk06NB/p4BYBAx5kpcJWBz+zURO+MMywGD9gCNEJsP2qo2GjnXPprPccABRNCOuRTGhwofEwY3vi6BCUQB4wfjmrrOpX88g4kFcAqpM3mRTXqIQUQfq0YXX0v4sphj5hytQ1kQiE1dgsYCJ3Y0gMOqaaqam75rAF3TqAHiAYHqd4bPqUtuVNc13fa5Uck6gasEQANC69jFzmLBnsEepZQzgMMulDP4/7E+1l9//dhDSVI/wJyLLXttU/ngBz9YcDkedthhTY8G+XsGgEHEmCtpkoCZzq3O5GvXQ5omPgg0QmiDAFUpfXVwyOXDdSHqxQQGgGGsXQioVQYKfkOR7CL366+/XjCxYDovI06OyX1YtUYwecBhBhciwJ6+MccuQSDIGk0m7/I8dammSbVNw6BpGlUAyPeJi4RvkBSgQc3F/FatbmreOi4T+DGiAexzwWWCbEIukaYhx8n3Z1POKJekmefWx1KDRp86uXiPQmHPhUeVIMWm8u53v7v4ng499NCmR4P8PQPAIGLMldRJoC7Qo+49NhJAENoDTefms5GEmBVynRIc0cQxh8kX8lICESCgDpE5BPMzQDIEHYv6IzIXmHyr0l41RV6HkKlZB/0hZR+bPnIzeQddACB1IXdAMhcF01wMsMB/Sc1VAMLQ5qqu8ui7BjBUHt0qQmoFhE2E1G3nYVTSjg1L4ITJJcn3x4UMbaBJOdPkCwpnHhdR9oNRKJA4s37Z25rKnnvuKW95y1vkwx/+cNOjQf6eAWAQMeZKqiRgc/u5AjjVpmEKYCPA328QBZ4zgEVVhKlp8sVk0QQUfcaAeQ2NZ9cIZ2hWMJ+7+COmpJ8BrLE50j/kSMo9s7gCQMzZmKBgyrcLJmT1HeRAQvMEWFTtIJor1zXpM3euz/YdAHJJwU0hZKCS8tapuVhBhBmVGoqmBF9Y5oBo+z4X8mkDAl2oRlKOk2+YPdyknEEjr4CQObVJ9rkQ8k3i5z0Khb2X8XKONJWdd95Z9t9/f/mXf/mXpkeD/D0DwCBizJXYElBuP25yPiZf6mEzAxgAuvAbAvwNiuIDnjb8+PCXs0tok69dP+ZnwC8BDm0KciegAp8aVwqa0OTXVf3WIBRMI2QcwYxL1pO2ABAtX9MlgbExZwoIbWBRlumijdx93ulzHmPGCQDE76xKo+wji6pnWcdQkyiI4N82IXXbVIV1BMoh+p6qDnyO8QPEYjDMRX1BNcIYcAiYNzWEaABdTabDPFbtmw9PKReRT3/607L33nsnGVoGgEnE/NJqpK3Jl80BPjpusuqjVgfAUkgV3zQAmK1d0kAKgOm6667byem5ahzkQQYcufgf2nUQdYY/Ir/RCvj4aEG9Q+LyWIe6mss1CAUwiB9WWw0glwXG1wQAbRmZwAJwoYdRFd1MjPWWAaC/VMsIqdua+TWLEOu9z8WHa26Yxlk2l/j/svdgMkVbn9LnO4ZsfL5x/P+++c1vyq677hqjKy+qMwPAJGJ+6TTiwu1XJg02YgALHzu3WDXxAMCIwPU93ENJnNsbt1P13zADKUKbfO0+u/of2u8BZpAlQKZN0Eyo7CdlgIuIOJzVAfhqLkcLA9jdYYcdxr3iagL28bGpWxeYh9EKVtHNdI1uLGvb53AItaZD1oOPLtQjoUyybfrGJUc1SsydDyE12kRMdHCN9rnwTTGWvkfO4rLBfFCYRzM4iH0YH94uEcaDmGPciAgAaWKSQHECVcxPfvKTZC4JGQAOYkWMYJsmtx//5iN18a3iWXifiJQC5KHxMj9wSH756AnEGEQBSHHwr7HGGoX5kP5Q6gIpQvWzyf/QbsfkScR0jM+JyxzY9XTNflI2/jqNJBpAzN077rhjKwAImTUAJPQaKQtM0KCEUHQzLgDwmGMWk9mzF5V3vONp2WuvZ0ItryD1DAMANAeiUalqLgYYUqry3nbJoBFEgIEq8SEbDtRktGrYc/F7xkJgRxijMexbthkutwC7pmA+1i5nIPyvqaK5MwCMtoxfOhWjqeHDRPtHaeL2U8lww0N7o2lyyoIduA1iDgAYDqIQYQq4wMRIsEFMk689Ph/zNzdn+oo2DXDahScxNP8g8wtwZgNEQ2GbdADWZJQoA4CskSYQi9sAPmGhAaANLExn9lB0My4A8KMfXVyOP36SfPrTT8m//dv8QXwGlW2SKQf+xhT5qtsMnEPVDkLAv0yBPJdN/GQZQ5+LD9nwsI+zymdOfXhV26vgHjOxAvxY0eJdZMblFlLrJj5XxoeWkDMPt6IUJQPAFFIe0TZMbj/+7Qr8EAcHKDc9PljMgXYkmIoMgMiG7UKiGUPMgD5MK4CU2CZfu/+AA7j6mqLHkCUAiw0GWbZ1iNf2u6S/s0ETpimi+uoyt3DLh07Ezj+sJuCmdQUAZP2gpU1VQtHNuADAz352knz724vLQQfNl8MOeyrVEBvb4ZtHAzjMANAehBmEoH6frC8lEe+rz9koUafg9sN8NDEqKLhXQMg+yOXSppxpXMiRH3DlysRKgr85FrFUaS0zAIw8+aNavU86NxsUwPnGrRtQYPK+lcmKw53ikkYntKwBfQQnUPBzihUUUdXvq6++ujCFVPk/MgcKsNCQNsnSVT4h+AfRCAPeOWTRSNaZP6ryD7sCQB+iVVcZ+D7Xlm6Gww5TVxkpt/bha1+bJF/5yuKy//7z5cgjhw8Akq+66gLnK8fUzxOQhF8qBy9rta8+Z4yBMgrUKVg+2Mt82Q/KosVZlyYgTL1O9ZI0ffr0Rj9Z0vlhxQDIdrHg+HxDGQD6SCs/W0igLbcfNxzU2wArAj1cMlygPcIM6JJIO+T0aJQvoI+PMXX7jKXO/xGAhXaS228TwPKVCzdWNIm++Y+1HczQ9B2+L+a5adNlXaBJIgjE9P90BYCk3uPm78K07yuLNs/70M1UAcBbbpkge+/9MlmwQOS9731aPvOZybLXXk/LD37wZJsuRXmH+eGy0GcACHUK2rPNNtuskJHpcwYgRGNoAohB80ZWTSTfAOTzg3KVCbnAuHQDZLvyn6qW3qScweKk88n509Va0jRu+sB+SpBRU0YiLvNYmTjvUkU+ZwDYNIP572MS6MLtx0YL+NPIVNcPD00hgDFVYnA+WDZTTZeG+RetAIAodTEDUMy28WnCTwbfROTSBLB8+92FgBrgjC8itDls4i4Re2jPMDtDA2NmUPEBgMN8+NXRzQAykJXNc/n3v0OEC0n1QvnWt56Sgw+eLDvv/Iz89KdP+E5ntOcVALocbtE60bFiSMgJoIDM2i5KSK0p68ysFkpKPcjoZ7O/aMEBGCndIDqKvvJ116AJ3/bNKH/mlHNF6YMAhQDCEBmczH6xt+EDCL9fU91Yu0hJyP7usm/6jr/s+QwAQ0jxJVBHW24/k4wYx1bMXU1O/aY4MRcTqYeWK3YhGhXNFR8fmiu0f2gH0GgNgmBVA1DMWz3+IWwUmEj4/z6ydJUfARnMlY8JhnlGW0v/qvIMV7XPxkzgCUTQ5s3XFQDSLnPWF+2HeRBBes440TIr/yCH0oIFE2W55ZaShQsnyLe+9YQccsjLZKutnpHTTssA0HUduzznk0NXgbwCQiWk1oASfrtebF365vNMrEh4nz6EetY1aKJrezZ9EGBNI4yZS3yquwIxNMrQeQHsmvZqTN/77LOP4JbQ9GzXsev7GQCGkuQI16MHsW9GDxY/WizMlQAoDjbfQhYLtIcQZMYsmn0E51soVPTDB4By8x9EiiVMvNzqCYBBM8kmz4GFLJs4pbrI6pJLLim0d64E1GhImWeADXLyTQvG+oB6ZubMmeMOUC4dbNJNQSB99n9SonGAr1KXMG60EW9962by0EOLyhFHPCGf+MTLZNq0Z+X88+d1mdqg76p5CxLlQQGfrgPisOXS0mZ/URJjBYRcIGNrlKrGy17hkg2nq7xSvO8aNBGyL0ofZEYYmxczAGEb8z/KA75xl1SDuFOQA5iI7gwAQ85urquVBNTky8Huw+1HY+pDRxo1tElN6u+qDrI5A87KTDStBmW9xCGG+YT+4n9hO+Pjl4GZqM0B0bV/AD7khtYUzST/RhMam3IDEwz+dHWBCTo2JZ3GX2e99dZr5bvCHMB9td12243zk2HNcSun1G2IAECeHVSkeJd5tiMeTdqS3XZbQ265ZUk54IDr5PjjXy9rrDFfrrji0UZfoi798Xl3FAAg3z3uHtOmTfMZeumzGgikgFA1SmoujkEkrh3BWsCloYkxoPMgE1SAPzA+mamD7syhmeZ/BYXsQVV8klViwXrF3LgQjZ9++uny5S9/ufDtTlWyBjCVpHvWDh8AUUloYNjAmrQwOjwFVIC2ELQpbM6AMKJwQxfT5AuwKvPniQ1A68YEMOUGiQZS06Z1NUm4yNAlAwnrA98pfDS7kE7TH27aZB/BTGL6M7oCQPpAHaMAAM35eetbXyYXXLCofPSjD8k3v/lKefWrn5Tjjps9pmXiu8Rk1fZy5bIW6p5BA4a/6FZbbdUK+HdtP8T77FOAwNAaflOjpJpd+gtIU0AIwAml6THJk0PIZVB1aNTssAUWsb/gm6dgEGCnlDM6n2UXc+Yen3KigJvKz372Mzn22GOFBACpSgaAqSTdk3ZMbj9U0Sx6V/87jf7kQFIfuq7DxkSDH15oolaAJTQl3JgBDlXAiufIs6lRgl3H4/o+Gw7RcCp/F22ca91Nz9FuWWCCvsfBz61WfTNdornr2lQAuM0224zTbroCwD5zoNVxnu2//2Q55ZTF5JBDnpJvfWtxWXrphfLXvz44lqqOw4W5MEFFGzNV03qo+vsoAEC+b9wqXPe4trIyOeuYN74dJaRWH8IuwVxV5Mlt+zuo9/qiVaaf+IAquGefBgCaGkLcd3Bf4hzddNNNG0X6wx/+UH71q18VAXGpSgaAqSTdg3Zsbj+Aj4v/He/dddddRXCCT/Sni0gwv6IJC5WsnQ+XfgIsCVZo8nNDO4AfoMsNzmU8Ls/gO4nJl9/cLmMfTnafrrjiioKItIyMFJDPYcNmB8hvojZwGS/rZ/bs2dIFAOKmkIo932VMrs/UAcBPfWpx+d73Jsn73jdfjjtukiyyyEJ58MHHZMKE52r3oZtx7Y/Pc8icgCGXCEefelM+y77FHpc6yKuMkNqkKAFI+FCBwBlKJHkTeXJK2bZpyydqtk39sd4x/UHRErJPchkD1BNtjAtT03z+53/+ZxEw8utf/zpWN19UbwaAyUQ93A0ptx+/KWjEMH9yQ667vSjhL+ZiKElCBydww0Lb5OJE2yRhPkpMJYytyuRr14F2AB8zTBIpCoAXuhw2csAVIDAVBY6OryoFHeYy/FMgpiZIJJT5inbPOuusYo5NM7yrBpAbNgfHqAHAr399knzxi4vL3ns/LT/72WLF9Nx7L5qG8pVYRzfDRSJ0lotRAIDscewxqb8xewZtihK+e3wG1byIqb/O/YOMMly+my60KfawLm0QUIYPskvUbJd2Yr/LfoTrDusLTSF7mRkgVOa68bWvfa2wdp100kmxuzdWfwaAyUQ9nA2ZJl87ypcDHz+vKu0XZgwAVSw+OiTGR4TGiQ2hS1GTr6+GEu0AGsNQGsiqMZh0OZBOc5tPSYFj9ovDhIMEWVHoG34saEs4KGMcMmgAkbHp+O0DAPFVHUS2mC5rknfrNIA/+tFictBBk2XWLKKkFy2auvnmx+RVr1rY3OzChfLMvffKQxMnjpmMNcuFSTfTxae0r9oaU3hYOdhjBsHzWTeJzJUGk/C7ydSP1p4sEj7UTc2LKP0TaMsYC9aAUSisL+YPNyP1H1TXDUAgbgBc+lEwEACCkuK4445LNvQMAJOJevgaauL2Q/sFx5odwWQGABAtysYTUhtkSgrfCpxi4YhrU3xNvnYbITWQVf0HvACk+Y0zOqYDCuCbTSO0g3qTHM0UdBxEmKORI/2IFZlHEAiboEkh4woAAcpoTIhC7lupA4BnnrmIvP3tS8jUqZCTT5R58ybIH/7wmLz2tfUAcMKdd8rkD31IJjz8sMybO1dksee0h5rlwqabUUDIRc7nO1YAyGHdBUgOcs4IMENDQ8DasJY6Qmr1H8RqAA9m1+wZg5YBAIj9h8CiUSjs4QQbmpmk1HWDvR0Xio9//OMFwGf++Ba/853vFOsxxTeVAeAorLIWY3BJ54ZZl0AJ82Nk08ckCzDDb6Yux2uLbr3oFT4eiEF33HFH7+o0KAXfC/rahrU/lAayqvNKo6IZUkw/kUFR0KBxZV4xWQBM0SoArmJGm0IDg6ZZwS/ycgWAbLJoDvoIAOt8t666aqJst92SstJKCwQ2nPvumyiXXcZh8pybxovKwoWy6EknyeRPfUomPPKILJw8WeadfrosqMhywTesYJB1rnlT1ezY5N/JhQXOyD4DwLID2nujSfyCRqQyd/wAYCnMG64jfLtNc5e4y87N+dCmOFc6wAcx6Tb5J3O5Rut5+OGHF5d+/M65aGP1ghsVeqxYJPcZAA5wcQyiaR9uPxv8AAi5aeJLxA0lBfkrGigIMgGAPtqJtiZfe07YXPGJ40MMWZgHNFdsEFU0KoOioAEAsilxQ22TvaWNnCCCJtLaJAv3AYD2LbtNHwbxTh0AvP32CbL++kvJpEkLZcqUhXLbbRPl7LMfl802ezEAnHDvvbL4wQfLYqedVgzj2Y03lie+/31ZuNZaTsPSvKkKCLk8qc9SFd2MAsA++2v1WXusE4v2CL855omLkAYgKJCPkeLMaVG1eIg9B5eb0KwPLboS5BUsaJxb+Ew3lf3226/YA9EIAgiJBiZDEmcQ+0SMkgFgDKkOaZ1NJl+722p+5QYCUOF20pXzzVc0mifWThNWVY9p8sVfratPDJspkVnkqQ1VVItK3QSj4AtSVvC548eFQiBU37itonFFjkSuVfUtVHtaDxsd7ZF+SYsrACRbDGt1mM14v/nbb2T1pVeX5Zdcfpzo6gDgE0+IvOY1z2XP+X+ffJe8fJE75fVvWkZeucEu8syK/ySyyHPRIIv+6lcF+Jv4wAOycLHFZP5nPiPzDz5YZNHn/AbbFCU1Vi1TmQ8aALDvDvsEEPXVf9ScVzN9GnNn+g8yPk1xBiiMSUjdZq2Z76BkgNczNe1W135XvQ+YRbPukqN5jz32kN12200OOuigcdWpb36MPmYAGEOqQ1gnBzqHu086N26TEL1iUmBTAay0SefWRRxVWSLK6jRNvqEyZoBkFCgAACAASURBVCAD/DTamKDL+oiJAw0bQAfH8zotKkE4gJsYJNhlfQNEqfaPIBTAfqrCbZdsKybgdAWAw+7HxTjWPGZNuf+J+2Xd5daVLVfeUrZc5bmf2667rZK+Y5F7zpAV3rSzPPrEK+THH3y9LDLxellluYkyY+0F8vTEZeTpdb4hi331LFns5z8vpunZ9deXJ7//fVmwwQZBp62Kboa5Ikhq2Eh7fQbfZw5Jc5zs02QzMV0o+HsZITX/T/nqAIQhCal9ZF/2LH7n7HmxMj917Z/v+7AmMCfkbm8qO+20kxxwwAGy//77Nz0a7O8ZAAYT5XBWZHP7uWb0YDSYIFnA8MERYdnEYxRDAlUccXZbaMpInQZFCf4SoRxo1QS9ww47dKqTcQBUMAnQPzaEJpN2LBLssnlSkzkBPQQLwPPnYrYINeekfyLIxCSVBtBDwcMBhXM7l48ymSFXgPWwRXKqbO6bd5/s9ovd5E/3vzjF0xpLriEzVpohO62zk8xYeYYs+7Jli9cAf5Ov2FdWPugGufthzEdbisjFxd/WWkHk6++YILtOXSgTvyWy8HcTZf5HPyrzP/1pkUmTQk1JZT1KN8P65LtjTvCv1WCS0HQzMQfU5ywyplxwkwE0NeXhZh/iu1LNrma0UHMxv7sQUnedK/zfWFODSL3Zte9l7+MyhUzJ5NRUYEE49NBDZa+99mp6NNjfMwAMJsrhq8jm9nMFf2jdlPaDf+P/lsLfr0qCZRGi+iymKdTs3BxDmHztPviaoMvGQB8B0phl0Ey6Bs6k4CBkjSA/Nl6VH4E/zHfK1GoAQFM2jJ3NExM+8kN2motTgYamXhpWKg97LTzwxANy8R0Xy0V3XiQX3XGRXPfAdeMemSATZP1Xry/brjxdvvrY/8jcq+fJbt+4UES2EJE9ReSUsecnThD5fweL7LLuRHlqzdNlwaZpeCrNDnNRIGsMLAH4CyuoCE03E3Nn5YJRgGoHH62Y/ehaN98PlgLfQDc7owX+Zly4FBD6ElJ3HQcXUS4WqZkPuva76n3XDC0Ac0DvkUceKbvsskus7ryo3gwAk4k6XUN13H5NvTDJktGo4FtiZ2hoqiP038sCBGhDTb6AFaJ8y3Ixdu0L4IP28YNsE1mnZtU2XImxOQg14wjrBfClFC8AQsBWSmJlNBjMIdojtDL4m+LTh+aP/vGjUasa+ahaJ0Asfk6pszl0XVtoBk+88ES58ekb5bcP/FZuePCGosp3vVzkxBVE1v6YyE33APr2EJEPisj3xjW59hSRG74u8sTUY+WZlffp2h3v96s421hXGkzCb4qmqwNY+NLNeHfM4wU08lgLYkVZenSl9aN8GwDAEKb4KkJqpZtpIqRuPYjnXxwWYu6u49D34VQl3WhTKk/mEJcb8gHH5pw1x5YBYKiZHpJ6fAM9zG6rGdXMjwtBLzf8JtNCzOGXmQfZKAAqoU2+9jiq8tS6jFflibmXA6bJ5GvXiUM0msMQWVDsugGXULywMWHeNyleSL3HOkpJrHzBBRcUgJN5JaJX+RA5kOiLLTvzoEJbyH/rIQXISJkT12UtVD1DEMiUKVOKn78//ne5+M6LZYO/fF7mXX+bbPUVEVnv3SLrPioy+bciT94mcr2I/FlEnnmuxku+MFE22WJXeXKTH3fpRqt3XUh7TeCOFtemm2GuBmldwNKBawt8pn0tmj+XfbrNJbVu3FWE1Pqthf7O+hDQ5bNO4LBlbTVlyOI74dzlIpxS+5kBoM9sDvmzLtx+ZUNAy4X/HIzkthkV7RdRqGZ0ZmoxAA5UG6R9BcDESD1XNrayLBV1MjAjkdFKNX38VXVxYALSQrLis9EQ+cgPAK/MN4VDkTGk5NVj46NvrDPmFVCgl5kyAGhfXDAbkaFENU9oddRUPGi/prq1YgJAfW7SxbvIoXMvlm8sIiJLishtE0UeXSBCQPBqIvK4iPxKRG4UOflfRf5p5y3kqS3OSP1ZFkAdiiSf9dmGbibmwLjsAJpcojRj9qNL3eyJBIHA1xrTT9sMBtKsFnxnZkCJrwnaHvco0PKYYyJKnn22ye2HsxtrB+dwStebDAC7fHlD8q5y+7ER+ET50n1N54b5lIPXNqPavlmDGDJmaNTj9I2sFGzYsUy+ZeMrIymukgOHIn1Eo9Y1Epm5IVME5ucQBS0ZfnWYzrllVoF6zGL4PqaiVcHvh34ReYzbgWr7XAEg76MFRN4UOycufk1osM0ghZik1j5zVQYAzz5rlux57RWyEIvw2SLygFHjciICI9HaIvJTkUve4aEBfOopmXDHHTLxjjtkwt13yzPveIdPV1/0LGsdE1cXDbUL3Yyv5txnUFgR2FcIfuprGVRKPpOQGkDIfuVLJm7LfFSisnVcMEhwVjUpUNCmQ+LNXoY1IFXJADCVpCO109bky3uo23GC5vbLT9lGy80STVBbLVaIYZNtAB8iPg7MqajUQ0X5uvSvjKOu7D0CKTDZolXjFte1j/i8QQgagoQaEIRDMiYb1bBVjR0fPPy4YkfVmjmG0VyQLsnkbfQBgHWO4wBf5UXDrM5/48vEjRtQCDiMCTLq1pgNAJ985klZ+6jXyiN/nicLT4bHo+TtCSLydpGJq4k8vr7Iwo2e9wF8/PHnwN3tt7/wm3/ffvtzwO+ee8ZV9uhdd4m8/DmewTaFiwQXlC4A0Gy3im4mpiYXjQu+ry40HW1klOIdzLTDwMdYpt1lv1FzsQsh9agE5ei8u0ZnY33jXGOfTkm1lgFgii80UhttuP3oik86N8AXEXKY1wZR1LyhuWgHAUTLfBBNWZhABtDU5PDrKsdQJNTqL1kH9M0+cQtHuwNQjFUI2kBTChiDvwxwaq8zVwAIXyLg28V3pgxkoA00QUZoPyofAHjSn0+SA886UOS7lubPrgRN4L+K/PfvFpF33rq+TLjjzoIIuqksXGIJWbDKKrJw1VXlyaOOkoUrrND0SuXfY+dttTW5XIhC080Q8Q5IwZe4r0WjscnIMkxFCan18uVCSI1JHvePPvtk6hxocA5ZTZoCFAl6Q1PIfpjSOpEB4DB9MY59Mbn9+DeaJlcNhuaeRQOCia/psIPmYdVVVy3Mc6kLGz4ggY2DDWFQZhp8EAF2gAS7VEXShpBVVxLqtr6I+AdqrucQ47Dr0BSDZv5jNBjMsQmefQAgIBAg6VsAGZiulMKEcQMIFBDyncTckG0N4Lt+/S457fzTZMHxFfl+jQFOfK/I7o+JnPKzF/7nwqWXLgDeglVXlYX8Xm21534D+vg3a3gCKsTuRSPczVzh3WutrsEM/GG+QtDNoLHHPMce19cSwhSfYuxmdDigkG/PJqTGJA/IH9ReH1IOqrwgqrcp0ImLCNmm2Iu6Wo58xpABoI+0huBZPhoWFoc7xZXbj8MUzQ5Otpgn2fBcQCNO3vgkuBBZhhIPfSWCls0A0wxqcTR/g7ql48eBI6+tfURtj+9aWSRtCFm0zYNM24BHwDNzjG+cj3M2awSQ5qJR8xkn8wpnH0EmaPuYT12DpNtj08cPRosrAAxJHmum0QJkADpMCpPQ5mI0n4xZ/X52+ekucvHsi0V+4SDZPUW22mANOXOdw8ZAniyzjMOLYR7RC1pK2gqz5yHoZv74xz8W80sEZl9LaiAeQk5820pIrdHhuIGwH3DpgjWhSWsWoh8x61DfTIKkmkAd0cLvete7hIusy7kcqt8ZAIaSZOR6+GA0ylejIl0XCkCCaFIWpItDqjkUNBT4SqUCX4BbbkP4ammUL0CGTWFQt0LbDI788VXBhxK/tVjaUTSfmJ99s5AoMAVUQK3StPnYS5dxIf82GrWqz0C1kRqsYWtTAYCAfdMBWgFgUy5M/P8wc4fOHmCbizmouMmrdhDtRZMGvWlbsAGglwbwgImy6za7yo/flp4ChnFxMWNfGRQANGXblm7GJ1ND01wO6u/MA+OABqavRTXxSkHF3sel1fQfbNKiDdvY1TQPAGw6q9nnDznkkIIDtenZkOPMADCkNCPVZZp8acJV68ezHLjccvHha5POjQ0ep9QUNAmqUSCSDKCqKYnoP5vBoMhaTe0UGxMy4Xfs3MhonwhAmTVrlhO9A+tESZS7AFNSqwEiQwEqNkKADusWrWLZzb7M1cAVALLG6fPGG28c6Qt8rlpArGkuRoPBt2Gai33Btg0AfX0Aj93pWNlnvfQk0AoAhxV4VNHNaIYLtH7MFZdLAo9Id9nXgraeSzNE0H0vmjmD80qpZtDEY9HAVK+AkH/HdM0IIUefIKn//d//la9+9avFWZ2yZACYUtot2mrL7aeBCWhGuoABfGQAYjFTJXHQ009uf2j58AUzb0FsbpgHoIIZREE9j4kI4AL4M33XYvaHQwwKGpcsJGh3OYzZKAFZXSLJMNNiVg2RkB1NIocsZk4uIFUACRnjZmAexD4AcBAJ5G0KE+bLNBcTXdp0m7dTRRVRwN9bWx750yOy8OSFlVHAE/aZIEuvv7Tc+IEbZfKik2Muw8q6AcMcWH3QPFXRzXA5wYWDfadprgYiZIdGAUi4VUyfPt3h6eF+hKhy9gDTFYQec+E2s8tgKcIqpIC+Kk/4IEfr832cfPLJ8sMf/lBQNqQsGQCmlLZHW124/XAKBqhQ0KR1yeIROy2YafKlr5ib7UIfKCkzU5h9gIoFAAqYAYQCBlMcFpqFhOi+ugTtbDQACQ3s6Woqwf+SHwjA2xbWL5FtaCSrCKdtGWNKN31NXQEg2kraCgFYu4yX706DSdDKqLmYNY3momxeynKFnvnXM2WfX+0jcoPIwjkLX8QDOGEHEVlngpy828my85o7t+1y5/dYd1wQ+6Z5Mk37+LsC3Pm+Y9LNdBZ2TQXsS3xnm222WcxmktSNzzmuICYdlN2wzp9GF9t5wvnWhiHdoA8wP/744+X0008v0o6mLBkAppS2Y1sscA4TfqtjrCvggCsPjRkHKWDF1yRld5GbJSANLWLogu8K2qGmPLkQE2MOjdGHpjGpIy9zgYkRkJWq0CZZSOBZKwviMDWnmMfZOF3XSd0YWENoAdseKKwXgIEGkrjIrCzYyAcAcpB3Aayh59Q0QXIQ8D1jtlKQwb/5NquSxZ/x1zPk/We8Xx5++mGRO2BsFxGW3ioirxSRY3Y5VnZedzCmX5XVKJge0Thx8eD7MiPBQ9PNhF5fZn1cgIZt/bcdL64gWJvKFAFVdSohtQJCk5BaTcZdfXXbjMdnXr7zne8UWXV++ctftmmq9TsZALYWXZwXWcyADhaDrRGpa5FDF00Z/lBQloTi7YvBCWdGg5aZfO1xxuiDy+ypZo3+ovUbhA/inDlzCg2LrcUFYGj6virNqcsYy54hEg2T6uabb+5dBUAHUMOGi4+k68ZLRglMcWY0pisAJC0g1DXDBABtwakJS0GGUmAgLwJfzIhofRdz8Nt/+XY57/bzRGCFmSiy1WSR2SuJPDPr97JwycFmrwAAsgbhOetrYd3BiGDulzHoZmLKhyAoLmyxfWBjjkHrdk2dVtcXvXwpIMQXTwmpAYS4acRMmad982EnwP+PPfd//ud/Uoh5rI0MAJOKu7oxNfmy+fBvNGOu1CcajRcjRVpoShDVDvFxEuXrctOjD4AxTfUVe8qQP0EFaB4BfbSNj8kgyEnL0tDh5wfICpFurkyWbFwAKt+DncsHfoiAOG7xPtpnNDGYfUw+NlcA2DcTmEmBwabPgYWJ34wuVnPx4ZcfLl++9Mtj0/SWJUROW0nk8a0vlQWvWD/2p1BbP98wl07fdTLQTluNu5gcQ9DNxBwz3yta+5BR+zH7W1c3aT85F5pSp/n0D4UKlxW9fHEZU208gFC18T51ujyLGw1aQJdz69BDDy38HL///e+7VB3smQwAg4myfUV60JncfhykTdG3JlBx0aS16SFAiIM9xO3S1eRr9zN0VGqdHEyAimaNQzlFIExVn+w0dAqycJQOYeIva5c2oLlx9e0yo4/RPtsO3C7rropuiAsR30UdmAQA0t82GkuXvsV8BiAP8DVNkBrxyNo7894z5dOXfHqsC5ssLnLFqiLzZsyRZ5f119CGHAsAkMCtPgcf4N8Lw4FrhqG2dDMh5W7XBfirS4UYs+3QdZN6FCCLxi5WAdCb/oNo4zV4C0AYiuuTcwvlgUtKTShgcJX5xje+EWvYpfVmAJhU3OMbYzOp4vYDdKDRg7S5rHCr4RkWmAKVGEPhFkOEblt/MPpkmnxd05GZY6F9zJKxnfyVhoZoX26hGniBmQtt2yCikDUNHZuDcg+SwSVmwnBurfh+ukR3AtAIOOoafQwQYvO1c7K6AEBu9mhr+woAMX2bXJLwdqq24oybz5Av/+UFDeCqi4rctrrIvM1OlWeXnxXjk3eu08fJ3bnSxA8SfY6W38USUdY1V7qZmMNif+QSxDnQ98J+x1lDBH2Kotp4BYRoCjEPmxlK2hJSY7kCbK633nqNQznwwAMLq8kXvvCFxmdDPpABYEhpetaFtokDjmJz+ykhZlnkK4tV+fm4Xbj6WXl2r3i8rTlQ2yrTqPn2gxsut6mYBzxAF6AHAOFAMIMp6ubCdyy+z5NMnA0EUyHAAIqXmLdj+odPHaa9JoJfNLoANzTVrMMu0cdVZN8uALDPmqiqIBBdJ1f87QqZdfILQG/yBJF5a4r8dcWvycTV9iwOqhT+TGXrts/AW8dD0AGX7LI0j77fKs9X0c0oXQnfbohALbNv+P8BXFw0TW3GlOodwBgAEMtDHetBzP4oIbUCQs0/rYCwKpq/rE/4rnP+uSgO3vnOdxbj/tSnPhVzeC+qOwPApOIe3xi3RzaMMvMW2h58AtD2aOEDwTeLHzuVVqxh+GiD7D6gnQSoNkX5NvUd8wYfUwxfIzNfLlq/MvqBQUYhsyGyKaGhYC2kOOzRJqBdJvq4qmi0eRuNblmdAEB8cWzCcVcA2FdftCYAeMvDt8ibfjhes/PIGiIPrvQ5uenZGYWGQf2ZWCMp+dD6bHrXNQjvGtlyONhDF5NuBrAMSGOvD003w+UQoGKeFaHHkqI+9mLyrrvkzk3RH9oAwKn/IKCQoC0lf2fN1OUK59wA7Ltw6O6+++6yxx57yIc+9KFUQyvayQAwqbjHN6bm37Iu2IEPaH/wC+Q3qn4Xao0QQ2Pjol3S2bgW0zcxBEAAhKKFa9JIufZPn+NjBnhg3kWmVfly4djioE15w1azOVpJKH2gwAmtOaiSl2qYy+ZcCcYBgFWA2XceeJ41hu+NHWjjAgD7HI3K+iMCtSqd4ONPPy5TvjtlnEhvXE1klWlHyNOrH1isSzUXM28UE2C0NV+5zGHfgm/KxkTUKRp2fMBiF74dtOah6WZ8TI2xx9ilfr518q5z8RzWLB8oZUz/QfrMWax0M+YFjEspmkyXLFqk+3z/+98v7373u7uI0PvdDAC9RRbuBQ55NIBlxQx8AADBuI+jMptVCi2Q9gktHhGaZKNwKXwQygEXyjeRDZPx12mkXPpmPoNpm366BFOgceWGncrHhlsnwI8DFo0BbgChaH1c5ASgQjMFAbVZ2PwALPQPU3RIPx0AIPXZVDu0xU9dEEhfCYmRbRMA5BkAIEBQy8Uri2w89fMyf62Pjpsf9hMTYPDvmHx2uAqgme/iH+yyHmM+Q55vNGepLtTmWELRzbA/cY6gyexzQbkBIGffSXXZ7SIvm5CafZOi5mK+Dy4Wtl9zWZuYfz/72c/Knnvu2aVL3u9mAOgtsnAv1AFAfNLw7WAB8RvgN4h8lXAoYSbZfvvtGwfOQcyBhiYH7VAo30RfEFrXUdVgIV82fpeIVbJMcOsD9MQuyqOHPx30AUTHEuHt0s9QfUPe8KPNnDlzrErGz9yiXUJuoW/oAHy0Vba5xEUD6JNyKZSMQtXjAgDf+IM3yq2P3DrW5ClTRN6y4cdl/us/W9sNgLNqK7hEccBq+izmsau5uA/8i03zFIN2pKnNqr+3pZvBQsG+VhUw2LY/qd8jkIyobB9rU+o+Np0tnJdmNiCUNbgV1RFSgwM4W44++mjZcccdkw4pA8Ck4h7fWJMGELMnYArNU2zH/7pNCb8MFmbVrcw0+WLCC51XE+0b0XqzZnWLemSD5cBlswRcuabIS0VDg68jQAiTL5s5Wi/NQ1xlIoyxfE15mxHcMf1Oq6h2XAAgmi40iC5RyzHk1aVOFwA486SZcuXdV441c/SrRf5l6vvlqfUP92qaA9YEhF390UYBAEI70jV3ttckOD7sQzfj42vm2PxAHgM8ceHdaqutBtJ+6EaxnOGfy7nJd8e+ypmjAUFcxrjoM9fs96eccooz9VaovmYAGEqSLevBrGYXKE84EFk4qMNDa1t8uopp4dxzzy00gGX9ME2+gKoYztRoxbipd7kdYUYHJEC5gUnVR6axaWgApAT9oOm1tZLciNH8ptT+qtYXs79mG2FuQ0VKlq0/0heyGdpaDBcAqPQ9oX1Efb6Tts8CANEQ1M3vvr/aV07/6+ljTXx+WZHPbLifPLXhUW2bLS5ByA03AzQW/BsTvPoPYnlo+kaGIQdzawE8/yKX24022mhgF2zX/tfRzbA/lrlPuNY9LM/1WZNfJkNIxsnwo+477GWm/+C3v/3tgmKN4EZSfv785z8PwrfrM58ZAPpIK8KzJgA0I1LxG0DzZPthRehCbZX0iWwUgAHbpKsmX7STMeloMF1Bh1KnhawahElS3NaM3jU3bp2AmX8ipQHagCxb01uWIi32GlDArSZCNCQxgwkYTxXXoisAxGexj5oDFwD44bM/LCf88YSxaf/A0iJHbriHPLnRC/+v65owDycAIetSyXEBhWX0JaMAANlX4Bd1tQZ0lXOo9026GYjb2efUzMh8hSIzDtVfl3pGIbOMOc4mjkku/WeeeWZxthH8grkYP3csXfygDIjtC5kBoMvKjPgMH7Kq+zkMAFn4z+G/E8Ls2bXr9I3bCQtTo2T5f1APsIBjmHztPqsWko/CJwBGwRW/AVcAmjalKxdiVZumXx1RvmVjq8qQ0WYcru/gH4kpmpRuaEt9Urq5tmE/R8Qcm53tyO4CAPtsOnIBgF+65EtyxG+OGBPZHkuK/HTD7eWJzU5pK+7a9/i+7ehitIEmwCC6EeDBJTVElqAoA3GoNDXxsEOXvB/RpAGaTSYW3Yx3xzxfGIWocnPIBBixrzdFmLN/4eKDpY2L7Ny5cwXXBED8d7/7Xdl77709Jen+eAaA7rKK8iTghE2UzAto/QBUHLj463ArIDw89i2gaWBmPloOZMABflf4JsYw+dr9qdNCVvUdLQaaNW7DVeCqadz6dw46/GxC+ZiZABqTJ/lvq+a4KkOGa999nqNfBLwA7DERttG4+rRnPltFto2Wmfmv02iwgeJvEzJKvO04fN9zAYDHXHOMfPK8T45VvcVkkfPe9GZ5YsZZvs21el7pS0xzMRpBtMLsU2jQmszFrRpO8BKHLqnsqiigEnShcxMAQHzNNI92FZmxad73uUh37qBjBaOgUTaHyvntonjgfIH9gH1MNdEoPVAAAQxj5qDPANBxccZ4jAMXHy80QWj9zHRETb53MfpTVSf5aLnl019AVWyTr92PMi1kVV95Fl4s6ClgYEeL1RVA4+yOiTKEidHMjOLiM6kZX1y4pLqsCfoFsAdwAZgBVFw+Umj/6DcXIICemTYJn0g0g8wpGicOML4RO/sFJmtM5aMKAE+94VR5z+nvGZvetRYTue6Nb5J5W1/UZcpbv8slkAsWmmLWC9+XaS7ui/lxGDJPtJ4E40V8m/km2OvKSii6mRB9rasDSwtrCp/MUSiu7gXQ+DBmlEGpL1IZAA54pTH5OIHb/nVttF6xhoKZhOAJPk5uKmgqu4Iq377OmTOniJCq89Vho2Mz5CYFuArF7VVHjOwzDvqFRg8wg/bUJd0RoAzthM2P59Nu07P0C02U9ovn6wJ/mupr83cz2woaDIAfBwK+pcw5GmfVQGn2C8AgoJBNE4frPtJHAPDh96wLArn4jotll5/vMibWpSeKPPjGNeTx7X7XRtTB3mF+cGLHTcAko0a7ZJJRh6KDCtbx5ytinXFIo9kf1j66jNlFi2zWU0Y3Y+a+Zb9Jvb/TP3ytYUJIQbflItcuz+jlggCPJv9p9viddtpp7DLVpV3fdzMA9JVY4OcBLWxEdlGtF1qnkIS7vt2nf2ySaIKmTZuWxORb1ke0kJiaMHWUFQ1ICZGX1q4/BA8hhyUfOlFh0Km4brBV9Ci+81j1vFLPoD2gX8wz2kD8UOAB7JLf16ePmvqQPgCS+SY4CGjfJoI2/dMAHsiSZwAigMI+HeYuAPCGB26QTf57k3HifHy95eXZnf7iI+Lgz5ZpbNT8aGa70NRZgEIuZam0yk0DHsbUY019Lvs73ws8oVOmjM8Y41KXSTfDnLHXcRE0/T1T7QFcJugD1rC+F/Yj/Phc0trBs/ue97ynULC4nguh5JMBYChJtqynCgBSHYcwLPttgxdadmnsNZyJNfMDzvnw0w2qoIUEENgOtSZPXSztZBceQpN4Gm0WmlSfUhUd61NH2bNmdDT9MommB6F9BgCi5eMHEIcZGs1eUyYQ5IvvEDQyfCfMFS4Kqh0cJsBRNg8uAPDBJx6U137vteNev3XNJWTZ3e7pugw6vQ9dFT9cDKuKGa3K4c58muCCy23qQ0/7qoc0l+xh9IlznRzcNdAghyCLr6ObYd7Yf2MBeHzh+f77ntOYecOcSxAIVokmeaHc+MQnPlH4maf+FjIAdP3KIj3HJsRHV1aqQE+kroxVq8EAMMwDqtAS4WCckozYHiN8XWwMpp+k6U8XKu1cmWzxMeNjxifOp0BfwwFPP32Ip802MIVS0G6FKhzKmMpx4OfwtqlnAFWY3KEgcjFTh+gX0c4AOfw20ZLqRsi3wSWpbhPVFFJQFdmAg/dtwBGiv6HqcAGAfI/LfXtZeWbhC/vElauIEq15ewAAIABJREFUrLPnwyITJobqinc9LgDQrJRx8C2ZmRLQLpnm4lTaJvrVh9yzLpNi8825vOP6jJn7VgF8LH/PUclpjGzZWwnicKFx+/Wvfy2HH354cVakLhkAppa41V4dAESFjFM8PkKpCgcopko0KYAWPnYc7CGz1CizVH0x24EIGnCAvyRFyX/xr8BkEBOoYHJsyoZiy4TNEu0pc6farDZyKwuOaFOPvsMNG5NRnancJ+imS194F7BJBDDmH4AaZn6z+ABAO4co49DUTPgPYt5ivWgwCWt70JofFwCIPNY55nVy97x7x0Rz2ooiW+35N5FFl+o6Ba3fBwBiBm7rs8XcMicKCJmrlOZi9jr2FRctTWshJXiRQEKCxGKfE5r71gTwZfRAbYdM4B7nIft83wvnkys36U9+8hP50Y9+VCgZUpcMAFNL3AMAkhibEHBfs2HbIWmwA352aNvUlyolFUlV35EFmxxmDnwlMI0SjIKGMrbanFsw2liXqFhTexoiCll940KYRXCyxlSKHPmpkxvcj/ivxPQ/Ra7qYsDhBdDm0uELANXc0pREnsMFtwYNJtHcuGouLiM7bvstub7nCgC3PHG6/P6+a8eq/cHyInvveZMsnOznUuDaL5fnQjvtM48KLvjN5cDU3oYOTnBdNy6yGOQzl19+eeG/a1pHUvQnNN0Mex3FzgeeYiyh2+Big/82gYtN5fjjj5ezzjqr4NtNXTIATC1xDwCYKg+sCVrK8r1iLiQSMyYfUdM0IAv8XDjAMUmj9VNtYNO7Xf+OqQg/jSYiapNKBa1IiChkbsWYzbo4RqsfIge2q9xcoq67yJUNkosFWjh8EPH/4f/ZABCZIv86eoS2mhzMNGb0Km2kjl51BYB7nLK7zL3t3DGRf3U5kYP++WpZuNTrukxDp3dZT3CY2XPWqdLnXza1txqcwIVU5wdg2NVcbLoOhOjzoOrgcoyLSApO1roxdqWbwRLAnA7ynAk1h1wyAbSbb755Y5WkhGMvPPXUUxufDf1ABoChJepZH2YQDrmygnMvICem6bXM5Gv3pSpPq+dQOz3OLZcNGxMe/n4piVtdgiJU5U+/6F+oSFRogqibOtsUU8sGKHXV6Jnk323arXtHNbhm0A4E1GigbXOiDwCEB7Atj5YZvcrmbZoj0aygFW9y5m4jJwAg9TcFWB145oFy0nUnjTVx8DIiX/7ni2TB0u3WRZu+2u8wj3Bktl2bPn0wgxMAhIB301zcZn58/LR8+pr6WUyHWAhCXDhD9t2XbgarDvvn6quvHrIbA6nLh9T6K1/5SmHVOvHEE5P3NQPA5CIf32AdAMQ8xkcd64MwTb5oYapu1FVZGlKJDj8jDkpuuBBSxziI68aiPnH4CpVxOqlpNYZJugoYucjeTDXHAeEDjppod1zat58xNZGABtNnidSCAC87otQFAMZw5udipKZiNUea2sFQFxBXAPgfF/6HHHnVkWMi3XcpkeP/+Sx5drk3t5mKIO+kBIB2h8vMxb7zg2a9r/yRpjzIOMH3VEWRFWSyO1ZSRTdjanTxdzYzmnRscqCv+5Ba/9u//VuhBPre976XvM8ZACYXuTsAJBgDwBHaJ6LJ5GuLJKQfmo+4TQoV/LMIRImdEaOqf2U+cRrAgDO8q2nVZ/w8i2mU26QPO75JjdOUaq6qPxBB02YorQKACjMHYA2QZ2siq8bpAgBj03mUHV4AQPPw8gHXpsxdAeB3r/quHHrhoWOvznyZyK/3+Lk8+5odfZdUsOeHhbdNzcUK2M1gH+bIzhyjAuhzCkFzEglQ41u1o/mDTXSEisroZgjIQqsLC0BMupkIw3lRlVyO2Ldd3CM+8pGPFFaAI454Id93ij7SRgaAqSRd0Q4ggkOxrEABgqM+HHyhipp8fbJl4IfG8ylMPTpOzAccjmwUfESYQmNnxKiTsW0SxRyNhpb5o3+uplXfeSQdGj6PaD5dCvLClKKbDwdgmxKSgsj090MTWRZ5WzVOHwDoQrraRhb2O/QJ7SqaQUAH2igOLA0m8UmF5goAT/rzSXLgWQeOdWX9SSJX7HGCPLPiHiGG1KqOYQGAZfODr7D6d2rmGAXsaJnYV30iNVsJKNFLEPVvuumm0fagFMPgG+KCyN7A3so3FotuJsV41KcZy1pTOeCAAwq2j8997nNNjwb/ewaAwUXqV2EdADTTY/nVWv60mgT5sDiIXZ2oMUOymdYRvobon9YBeCHwhOhnnJvRruCHyOYwKIoAzYeMRoxDn4MbjaT2L+T4zbq4SfLDBt9UOOjYRDGRA0qbUhDV1cehAuDv6liu5nEcu3FlqIo8BkygSbVpYFwA4CAzOqB9Qu6qfeIbY50qGAR01H1nrgDwnFvPkX869Z/Gpmz5RURu/aej5JlV92taFtH+DmjXPObRGglQMYDCjC6mStY1lza+rRA5vgN0s1UVmnJs+vTpSf2iW3W24SUltGbfNwO0APMh6WZi9N2u04fTcN999y3ymEMGnbpkAJha4lZ7dQAwlOaNTYIFSX1tTIJs9Pg02IdzaNGZ2Sm4EZn5UQfth4hGDEDEZoQcAX5Njvsh5AMowj+uKZoMZ3zABDQ59K2rnyQclPAXtqWWYF1zgQHYIbemiG2eAyzaQNcHAA5DTlfGrdonQCF+ZmiclHsQE5c5N64A8I/3/VFmnPgCpQT0z//Y7TBZsOZBIZZZqzrYFxiri5ajVQMRXlJzPnPDRRPLBkBQtYPDwA3pM2zNZwzdSEwuVJ8+tX0Wf0z8qO29ooxuhjlTiqBhnDOSKHAxdVFY7LbbbrLXXnvJBz7wgbaia/1eBoCtRRfmRTYkzLJlpcox3qdlzfrAQYRWqI1PFwczKu0mEOLTL/tZTABo/bit0087/R1ggrGE4MNr0080YmjU6GdbObZpF+ANeOeGX1ZMcB8SlOJYTn1tyGWZJ4ANsiKqF5NoU0ETAwgk9aFZ2ESpr87HTg/BYQCAZetaTcX8pnBwqYaQdQ34aLpM3PPYPbL2sWuPq/627Q+RV27whSbRRvu7j5krWic6VAx4hauNQ1o1hMoNqYCQfSg2z2iHIRQgAx/AVO4PXfra9C5UXzADNF06cZlC86xuGMyZXrKYN/uS1dRujL8T0MKexXiaCvRiBx10kOy3X3ptfgaATbMT+e91ALDKLObaJTY1DmJfk69dPz5o3GhcSC1d+2Y+p/3kYKzyEQvBh9emb7yDrxBcW2ws+OKFonhx6Q88awThlMk+Bu+g9snOvOLSV57RTCNsyGiGXDNtVF0yXACgmsGGXQtiap9Y88gKbaDp+F4FdJ9Z8Iws++3x/pxXbbGfrL3pUa5TE/y5vuduBUDgZ/3mN78QSa3UJcwPfwf8mWTUXdwqgk+Akc6u7/mMkU1bPkNfupkY82DX6UNpw+X+i1/8ouyxR3p/3gwAU6yGmjbqAGCT9qeqWuokaIKfNiZfu17Miyzo0L4ypvaqKWsGWjBu7G3TTrWdZuWsA8igEQuRcN2nL8ieQ4obvlkwXeHvp7yIoUFpmyw0mKvRqLhkGrFlwLv4mtqaTh8AyEE+bAd03VyjySCQCBCIFoP/Vsd3tCCYuUzt0+rffbU88PRTY1WeMW0X2WKbk32WU9BnsVBwORqUVr7rYAB5aGCrLBtolhmfagcB7ASiqfaWuWob/d217/p+WxL0UO2HrIdLJ2wKXehsXOhmXH3fu4wNBg+sbU0cvvQXF5ljjz1Wtt9++y5Ntno3A8BWYgv7EqaysoKPCqpkTFuuhbpYfDjRsrDamHzttjR4xCWxtWs/OezMnMNN/WxDh+Lal7Ln2PwBXoBw5IgWDv+UKVOmdKnW+118lQiAMcE3Gllkt8oqqxQUQV39/co6ddlllxVBGy6Al02MgxSfMDZwgmN8S9Vlh3lgTTcdtNDW9NERHrcHzFb4u6rjO3POZYeDSn0H0UJt8cO15LrHnzMjU054/XTZY+f06aO0fQAgFxF8RftYkDOWDdvtoGosZqYLM/pbzcWDSCWo2Uya0iD2YX7wOybQMCSdjU0gjiuUEojzTcWim3HN8MPeyR7+y1/+stLNJ+bcZQAYU7qOdVcBQG6eHBAQELsU05TKphzqpsPNFwfdmTNnunSj8RloQdB88KEDGFz62dUc3tgp4wFMCvSPgr8ft34SrnNIm4EpPnW2fVbJulkDbBYAUQ5ezKsu4Kxtu2RegY+rCfCqvx8HEdrZtps3oBYzv2mOo++uAJAgHTQ5oQia28rN9z0FgLYPYFnmi/9704Fy2WP3jDVxxBrry4G7X+rbZLDn0dhyoPYVAKJdx0riEmFfJjQ7lSAXMZOMOkVQxqhkM0G+fMOA8ViUWrTBWau+g5yXsehmrr766mLvbNo/2dNXXHFF4cI9iGCqDACDbYftK+IQZSHYxRV4mSbfJlNqm16yyZNuaIcddmjz+tg7JkFxEy2I3ZBrNGynDooUqa3KommvuuqqgpYGrVvKAliGHgEtMGCBDT/0LblsPC55qDGPsdFxowbIu/r7lbVX5esIAOT7aNJypjg8Ysx7FQC02wJgv+8XW8mv7r1+7E8fefUU+eCs8wvQkQJs2H0CALIeidjvY/FJ19U0PtYp+7VpLib4yYwubtJiN7VR9vdRIbNWP96Ubhy0GYtuBoUJF+gmawgXPTSRXH4HkeQgA8A2X13gd6oAoAvw0uhZtFZoq7r4T1QNi8OHKNgdd9yxdUQcNy1MmWyQmFR9CYqrNEShpoLNgI8QX0ObgoY2ADr4/vBRpywcKmgf0ZICtOpS9oXsFxsYt9eq6FRMtpihMRMD5rtGSla5O7gCwL6S4QIAOQBcLhaf/tksOfrOK8ameb9XvlL23+CUAngANkzftCbAHGKt+HCdhWgvdB1cOnAtcSVZ92lfI1WVH5L/xs2lDVl4XbtcwrBW2D7CPn0dhmeHIZo5JN0MFhRMu00RzXy77LGsxSaqrBjzlAFgDKl61lkFABV4oXkr29DZXPQAqYqe9exK6eNsXhAhE67eRsujmxRaCsBfG21FVTBEiPFpdhSlyikD0bHzMleNAxMV/nVsJtwQuwItV3lVaTxD+PuV9aFqfl0BIFQYHOQulDOuMkjxnA8A/PYxW8hn5/1hrFs7v2Ip+ekBfyuCR1TzxJ7AZUsjVzmAMIvHWDcAQPYogqP6WHzytXYZX5WmyTQXtw3iwkLARczHT7zLWGK9GyOfd9e+dqGbwWKGawQ+hnWFNUigJprIQbivZADYdZUEeJ+FxkFnFzbyuXPnFr53pp+cqa2KYfK1+0Hf5syZIzga+4I3jaIlgAJOpLYHka8/pOu0qD9ik3aNgxpwgbYrRdE8w9CjsA522mmnFM2OtYHZmRupGcXGOsU8HsMMXRbsQmd8AGDf8qEyPh8A+OMT95AP3jd3bI42etkkOe8D949bF+wNXGSUe5BgEr5ZM5ikzSWubPFxOcEC0VcAiFsJP6kyHKkMVdOkoJ0LMr6zCgjRFLqai8uobJJuFIEa60Mwiw/dDAEt+ETbfLa2uLA6kWCB7yiF1t5uPwPAQAu4SzVVAJDNfPbs2UUQiNJbpDD52mOhHwBAzAyuDrqo9ImixXSLf1hX9bb6wm233XZdRD3uXQJL6KOLPyL0JhykaOJiF+YYjSPAj8MVE3AX83ub/kIxgxYJ4E7RvKmAYNfAHZ92AYDImJRIZnEFgDEiCH363/ZZHwA4+38/LHvddMJYU6ssNlGu/deHa5vWYBI1RWpeXDVFdiE6BgCiPQ+Zq7ytHNu8x+WK/Sk1tZTdV2RoBiYoHZDOkU0HZL7fRGXTRi6DeKdvwSxNdDPsZQSlNZ2XXKh33XXXMc7J1LLPADC1xEvaqwKAPHr22WcX4eHcENXky00R9XKom7yLCOgHC7rpRkNdfMxmTtoQqm0ACH4VIbiSFJzid4FJuslPgzHBg8it3CW1j4s8q55Ryh36xBwDAglwqHID6NJW3bumyVv9/bpqcevaM6Od2wBAMpeUZZCJJZ9Q9foAwGsuP1K2vvQ/xpqeNEHkvoMf8dKqm0THgAczcpU152OKRHvB3tVXAIh1At9T1s2wFNtczHehdEDs+1zKzDnCdYJ5cKWyGZZx2v0gmAU/69Bcs6nGW0Y3w5nNN1VHNwPf6nvf+94iC1Jb61iXMWYA2EV6gd7lkGcBlRX4zTBR8KHjc8Nmi9No6sUCCOGm7OLTwO0HuhTAUii1NqCSQx5NWJdCPYAb5Md4XImDyUWMNipWxKMZIW2Sd3f1v2wrK26mbGCMmWhPtH5EQccqVVyTrhpA1gZgPkYQVKwxU68PALzjtjnyhlP2HNed299/iyyzxHKtuqiRq6odVFOkap4wRdZ9vwAP9q7Yl6JWg3N4iUOXsbNuhrVwLmD9UHMxQEl57ACEWAvg34ydpz22fAiG4Fvouy8jcuKbwCLBd6FzV0U3g2LlM5/5TMH3O4iSAeAgpG61WQcAiW7kBshGECvK10UEONkTaFKlLeMwYRFzq+a50Bx1ISKRue2zyRDdCpD2AacxcxEzt2gYAfnMMTdGLVV+oC5z1uUZQDKAAGCagnYGXzW0xjbZuCsADJFFoIu82r6LAz+XKpco4Ccf/Yssf9y0cU399l0XyFrLT23b/Lj3MEUq0OC3UlSob5ptzvJJeB+kg4ErAThx8eBy05dizxH7A/sY0fjMU525eJjHOCq+jMgYUE4QCK5bzI2t1WWf/9CHPlSckwT24eKDz/UgSgaAg5C6IwDkdko0JgcEDu4pTb62WDhg0UyV8RphVkJjpCA1RiRmF00YHyCHFZoszKoQb/oW3kd7GPqwUI0kGwXgz9ZIdgnA8R2jPo+WAXM7pibcD1yIutu2pe9V+XhywCGjJk0t6xOKnKaMMl37Gfp9HwAo8x+SlY5eTR414sXO2u3H8uY13xa6W8WhxTrQYBLmhznQYBL2JL4n1if7Qh8LFDCMaxAEvCHkxRwxBwSy4GbDWOzsMSm+3RBj8c3KEqLNWHWwXwHqqhI46FmG9g8FD+T++Hrj3sQP77Ul1PcdUwaAvhKL8DzAiYNOiwlYOIQJPGgDWkJ2FabyslRoqlXDPMgido1e8+0bMuKDIQjEx09JM1UAUl2isqr6hcM7ZoqQ/kJKOl2nkdRAIIIjQvhSNskdv0i0pLT1qle9Kpl5r4z0HK0vWkEONiXVRQNdlr6JGzc36pEGgAuelqlHLSd/ffqFWTxx5v+V3d70waZp7fx39ie0tGouZm74DgmMwtQ1iDRoXQfV91zGjN/0YyzzQ8MlQjW4/NvH6tFVvj7vhyTl9mk3xrMaMOfiz0gO4DPOOKPQCHK+8cO65OLN/48NBDMAjLECPOs0ASAbKwcwamTABr5ndYS8nk21fpwbDSBUiYFNkFpGnNy6oYoX2wAhgAMAAlDALb+LBpWbNtqQEJQRjAV/TnyoAM1VZMsqCiLBfSKw28jenE9kxVhTBL1oX9k0yT4C1ySFucMpnMML8xYA0STVxUwOGFSeO5ypWYdNPqptZBPzHS8NoIjsdNQr5FIjdfg3px8sB0z/YswultaNloO9if0KjQZrJQSvXcqB9D2VHbLCj5FvtcwywRlimvTR1io/pJqLU8q7rq1UnIwpxstFiaQHM2bMaGzum9/8ZsHj+Itf/GLsWc4G9rN3vvOdje93fSADwK4SDPC+AkA0QoA/NC8cZgAWm44jQHOtqsBHgX6RCUOpaNj8U0ZeQkVDqqCmW5EZUAH3IJrLrkEzmIvQjnXNGoAmhQ8egING0kVjZUaCt5q8hpfoE+sOEAbAxckcehxKKo43zI1omTGBQM/BBormG984AIZqLpTnDjDIj5om0fSyNnk+lhY6hux9AeD/OWYZ+eW8F2zAn3njvvKZWd+P0bXGOvGL5buCRkmd3ZkTM1ABgD6smqe+E1kzQa5mbNOkDyhUfkgze8wgzcXDQsnTuOgdHuAbwKwLa0ZT+dKXvlRQEf33f/9306NR/p4BYBSx+lXKAUcABTdSDlwiaBWwpCYgruq50oIAWPD34yYZM/tIWT/IRkK0W12kJ2Aa8KABFb4p56rGj6mFn7aJ46mXgxFAjy8VkYeupmyXcfutuBeeruoT6xFZxop6tvsLeTF+fIA45Ix8uHA0BYEAXnEgJ4gGkEif0QK6cKi1lVnI93wB4MePe5Uc++j8sS4c8Lrt5ZtvOyVkl5zrAgAicy5ZZgGMq7YWsMEcmtrBFK4MLoPoO48hY2yrxbTNxWh0TXMxl8CU5uI6TabLXA7TMygKMOO6RGYTAcz3cfTRRw9kCBkADkTs4xslGo0Dt0yblop/rkkMapbm5mjSlDS9F/LvTVQ0gAiAKppTAERT4IBP33C05qN2udWV1cstj8MeDRXy89FIQgVEEJCLttBnTOrvV9YnDncuJgTNpChokNAA4uuHFlIDiZoAoPZNc28y5wo+WKuAbDUVAwy7uAHEkIMvADziv1aSLz306FhX3rbSNPnx28+P0bXGOtmz0LbaANB8sYwwFwCogJCL5KA0tn2nsUHOobSYWHNMczF1m+bi2KAdTSZuHigV+l58Msx8+MMfLpIkHH744QMZdgaAAxH7+Ea5jWFWLdsIU2tiysQBEMAngd/cakIDEdcpgFsJQFJGRaNgJjT/oPYNAMeBgQnap3AAYg4APOJb14Yeh0gxAK1JD+PTB/tZ+oT2gx82XHxM7UKfWZMpNmS0kLgYEKhj55v2BYDm2uC70gwLgEIOOVM7CMj0AeJdZF71LgCQ78lMuVfXzgn/s5Z8+O9/H3tk8+VWlzn/fInIoouKTJ487tV5Tz4tb/3WV+Vb+xwob1w9PIcjexOA2ic9ompsNboYbSHjV41tyjkhsr/PUcxMdgwy7jLQrhHgSkYd+iIFkOX7T2VxiPEta50+/JKQQHMufPazn43Zpcq6MwAciNjHN8omBLgqK2xSfBiDoirQXLn0jY9/UP2gfUyERByaaeWQHTLqArBclgBRahx4PkSlGoEM8MDfr8l3saofdcDXpe/mM+qDyG2bPlWZ0zlY0KiGpr2x+4tccSkgwAgtgJ3yzhUAEkCCJqouqwtmLgUeZoYFBR+hDzWXufEFgGecurHsc+uNY1WvueRycu1DB8rihx0m8z/0IXnqq18t/nbHfY/IFkfuLw8tO1eWeGgTufPzZ8uii0x06ZLzM20AoFk5QIO9TTW2zAlzoPPBfhPTL41LDiVFekdnoXo+yBiQY0wqHo0AVw2hphNUSqAu6QR1uDGArKcogz3uo83cZ599CmaLj33sY8Ha96koA0AfaUV6lg8YsFBW8PFgY0ydr9IMpOCGjzYFIDNIAIiJkIhQ1aKhoQI88LsLwHKZVg4pfAtdQvupD4CFvx+bIyCqC7ggywXE1V3zKQPo6BPUHU0+iGgHCQqJlSXBjIRGy4h2E02nnfLOFQASpQ6pKn6DLkUzLGgwCYcamig91FLRmvgCwKvm7CDb/enysSG+fNFJcv8Nb5dJJ54oT/37v8v8T35SLv3z7fK2n+4t85f+s8j8JeWTa5wg/753tww6ZTIlChgTO3IPUZhrzPYK0lmv6pcGKAztl1blwxhiLKnqGMQYzHSCnE0U08ezjevNKIBxnXP2Ts4klwC6t771rbLvvvvKgQcemGrJjGsnA8CBiH18o3UAEP9AzI9do099hsmND7DDRgwA4ONGRY82MCQPnk+feBYtD/5qaIs0c0SqYJSqXLVlYyCIAd9NDkZ+upoZ4bhDS1FGwu0qQ9W0QTmDtqDJwTvmfAO+SBeoFxuAFxtmWc5jHwDI5aAtSNZDDUBIv5TWRLVRsTRRvgDwtkv2kQ1+c8a4af/HRVvJy8+5UJ445hj54WvWkX+97O2ycIl7ZeLjK8px2/5c9tpiA9dl4vUckeJcJkIBQLtxpTFRDSF/V/of9qQ2QMNso6sG00tYkR4GhLM2fczwIbvC2cVlV7WD/Nv08XT1ux2FuVC5+rgWoP075JBD5B3veEfIaXGuKwNAZ1HFe7AOABIeDwhMlexbo0JVS8RvCiZWImsJRhhUufLKK4t8tMiLmy+giKjRrgDLZTxVmSrMdwErbMg4AaP1awtG7P7Ymk+X/uozpr+fTxaUWJpntMjw+wFA0drq+kIDTrALNDCmL6wrAGRtQPcTQua0yXwr8EAThfZJg0lCmLx0fnwB4BNXHiCvuehn45bALScvJa+9/jE58uB/l4OX/LrIYk/K5Ic3lDP3O1k2Wss/643r+gIAAsIA3rGL+qXpnAA0SHummieAhm8wSWwAG1sm1M9FE8CVYg5cxmP6eAIK+d5dNOvDNg6XsVY94xIcpe9yrh922GGy++67d2my9bsZALYWXdgXue2WFYIbUI+7kEp27ZHyr3GQ4k9lAiscW/l7FxqUrv0jUAA5KUl2qKAIl37ZRMX2O2x0RCCj3QLY2HlTXdqoeoYIV4IEfLPBtOEc1D7gx4LWMCTgR7OGCRpNJs7ephayKtWfKwAkZSIy6qIlrZI/601NxYyB70JNxfx2pfMpq98HAE667osy4fqvy8tvFZm/8IXafvNfIpveJvKdz4l8ZILIqx/aRS796PHymlcu1WXZNb47yEOb9WIG+PDfgECdF5ecuIPsf6NwHR/AUoO7AhfhYSz43eo8AQj55k1zsV4AsQhg7ncNhhrGsWqfXNcVlxoUBT/4wQ9k5syZAxlSBoADEfuLG60CgL6+Z22GA2jhNoypuUpzhVYLrRApagZRND8t5g6oWHTjSNUX5akjSMEubHCAPzREaNl8NRFNY8C/jehmflwLGy+aNsAJZntfkBLa9YALBGusikIIsDp37txiIzTNrT4AEPcANMQxC/0xs5JwMbC1g03mdbN/rgcf4G+xm74u/3u1yJ4TRZ4xsN2vfyKy640iC08QOe6BjWTP98yVSYstElMMRd2uB13sjnCQmgE+uIe45MQFPBF1zIW3r8XnAjGJynYWAAAgAElEQVToMfLt8L2oFpd/qxYXjTuXt1EAgK5zwrrFdH/aaacls/DZayADwEF/Fc+3jwmMBWEXTYm17bbbRukpGyfgBa0GQKGK7wlNJGZXnyjYUB0mTRAHJeYmDvhBRO3hI3bBBReMi1JlvtCUIZeY3Ihotxg3AMelaI5hNIZETfsAEq0fwAbodyEzreuTaRZnfVVF6VbletYI+SYzP9ph/BtjA0B7rDbpMWtCNRyMtemi4gQA5z8sk89YTc743ULZ41siC94nIoZl9/hfiex4jchvPyqyy4YT5MldbhOZtIzLUun0zLACqDqSYw0mYT0he8D7sGrPXCYHflbWW1M6SZe6Uj9janHZ4/l2VIvLmFIFYoUeN+cprihNF3bGS0Aj7iup+FYzAAw924HqqwKAZoqsQE2NVaPkxC7cedza2DC33nrr0N2orI/DH3AFGCH6mD6kzE9rdkyDFNRHTTOO0CeATUxzNOCGDaXpdsyGgpYWJ+Su+ZlD+J6yptkM+Q25c51ZnLkm1R8XHRM0qQaQA7sOBCIj1nEbnsVQC9p0iGddoCnkENNAEnyhbDDuAgAX//1HZNLt/yVrf0zkpntEBH/xtV/o9VfOEdn6IpH3ThG54esi81d7rzz1xm+HGlZlPcMKAO0OK8mxBvjwdwAGlzrmJlYQS/QJECm+LzRnvu4hKfrm0waXXPY49ndMxRqIZZJRN12mfNqL+azrXoTVQwMsB6WFzhrAmCvBo+4qAFimefKotvRRE1hBweFyaGrUbSxNpN1RABebG7dEfOow1RBgwSHrEl7fVUb2+6aJkj7RNw5zwF/XaMSmvrrkg6Z/gAnmyTXHcF27XTOfYN7BBI1fD+C9iQaHeZ09e7Zss8024+TpCgBpC0LrMlLrJvnG+jvrRM1d/DZTogE8WDcuAHDJOevIZX+4W7b44vM93U1Epr7Q649cLrLpWSKkjr/kcyKbrv8ambfDc3l6Y5Zh9z8rG7tphuRiyXfD3mLmxG2jMY8p57q6h3Hdt5GFHcSlgVgaXcx+wmVKtetcpkK72rTpd9k7uOy4MBJg3cOqg8Wmjr80VL/K6skAMKZ0PermsGDR26XKOd6j6nGPmsEKgBdNudVUHx8gwQhowGIXPnr4/fgo0GQpeEAbCFBOkZ3CHqNqqKDFwfcJoAE3X4rDAllgqqrSVGDGByQiJ+Y0xE0ZkwxUMG18PtEsY5piE8THxQWIKABEw2y6IbgCwP/P3pmA6zVdfXzdm0QiVWOKGKMxlZYiSmP4SIJEDFVqbk01fBRfFa2qKlWl+EpNpVTxGWKqWQYxhkaDGKtRtDUVbZQ0JJHk3u/5nWTd7Htyhr332eec9413P0+ekPcMezp7//d/rfVftJ+DTCMBQHMO0T7YfA0m0ShW2gfLkSXN0+eeVeTWx6bJPhfNf+IwEdlywdP3fl5kw1tFThKRG48W2WkDkf8Z01veWXdVkbXWltWWGSCrL7m6DFh6gAxYcoCsvtTq0rdX38KfsQ14LfySEh+gOc35XlR7EECorBPrD3PRZv6WWM3MR8OcVeH7Wnb78oTc2QfNVHVm0A+gsMoMMnl9wT7J95yXhx4rC3sIe3KINTuvXi0A6NNDFd2TBgDTTGM+1VLfMPykYNFcTlCADASJEeota0Fkk0RuhqhnfNdY2Mx3VZWdIqlvdRwAfPhr5Pl3+IxP2j2AKRa4JK0vAAVsZGhAis8npmSX1HeMH2MEcPRJewcDuNVWW3UzFbsAQOZ1s5jC1P+JPua/6TvVuFPgofNhIQZwcxEZvmC2bPtXkXWuFvn1fAZwMFrYR8/7/cPeIk/1F5m0ssgfVxaZtJLIG0uJLP+Z5SMgOGCpAXL2NmdLv752AtrmHG12ABg3nzIGBHspGIRNZ2NWdpDxyWOyQ373Ns8KKX9k876yriHVKHuSjSuNGfSj5mLGxYwudg16C9kudFshKfJSprLPccDGylcFkdACgCFHOfCz0gAgr0naGF1ezwfDRoN/mK9vWJpQr0s9sq41TZiwWDgDxwvAQk2cod5r8xyVU4HZwrxadaABGy0bkRn8Yvr7sXCGdgJ3TX1nppjD3w/G0rUwzwkyMllpWwBo63jtWqeyr2dsMW2RwUTZQUxDKqYL+Oj/xmnS+43fLfABRNd59wU1W/89kdUvEXllvg/g7Le/ILNGLSZ9XnhJes5cOMPQu5+ZBwQBhfz925+9LJ9ZbkXnphLtyHdqG5zk/IKSb8hjjTWYRM34ZrYYwEZIPUjfpsKccTC0zYDj+56y7yPNJ4fGPNCUVI8kczFjY5qLqwRYpO5kDcxL/cn8Q/+P+VUWqZI3bi0TcF4PVfQ7GygLTlIZP358FI2Zlrc1q4oANxgkFi/Ai8/GzPPTZDpCdI+KT+MTlZWirAxturz6m3UDfCJB49uHee9K+x2Tsxn8opk0OP0ypklg2fddeh9sMbItMHJ5RU3QSG/4SM7o8wkCgXE0F06ALnM4LwgEcx6bYJXMbF6/2PyeFIlqiulGvoMz35dh0/aVe5+ReVHA6C5/a8HT+30k0v8ckZ/Go4DnzJH2P/9Zejz1lLQ//bT0QID7xRelbc6cblX7aPx46dh0U5vqdrum2QEg/nMwxjY+0DTcTIEW17QDqNfBOtmaG50Ht+IbbEGTTbVwEzLNxaZZH1BooxFp8560a8hohMBznhYsoPewww6LlCRaALBIjy8C92YBQHKkAoxs6HGzK1SfLkS6tDQn/aJdT7ABmyBSDDBcWR9C1WLU6sumdePDRhjZ55RapJ8AYhSYPjYhTo7xTBpFnp90r63+JAst9Qlhgh43btxCANvMkpM1N9RnNDQTGrpf48/LkyJRc1f7Cz+Rfu9eFukAfud+kTe/Pv9JuA23iewwU+T6L4h8Zr0T5ZN1f5RebcxNzz8fgcEIGD73nHz88MPSsVhv+cvbU2WdVexNwRwsWVualQEsIh2UpAeZF/FdxlzCdIpVp4xDYBn1TXsmexxJBvJAk2udTLM+a5WpEakMYcg0j8wL2kLihjy/Piwep5xySnTQrqu0GMC6ej723iwAyEkBnzjbNFemeTCkPh0MDRPbNnAkq2v5UEiZQ95cxKdtMjgUjUy1HWr6D/8M/BFNXzZfIG773rTr6CdYP0zPmDphLACDZZo1bHIfc3KlbjgyhwABCEFzcjYZVlsA2Kx6aHkA0JwTiEH/5PFz5ax/i0i7iLwuItNEZEkRWU2krUPk+M1PkFO2PCVzys2Z2yEPPfeajH72OZn01jPy2sxn5MPFJ0uvWSvK1NMmWU/XZu1zbWDI7DFx1onv1ZQwCQ1stA1FTKfWA13yhXzjHK5h/8tWVGBccLFQhhALT0hzMa5c+MpvvfXWuf6it912m/zqV78SDiJ1lRYArKvnY+9lYgICk4pLLlgmIKYZogzTfOl8m1zEFG2+0zdtWhVp8VjIYZOoI+ZV0xyJmYIAkKpD9ol+hpFjsQoFtvLmQJbsD+BdM8fQR67MdNq7k+aXLQBsVnOkCwA8fcLpcu4T54pMEZFxIjLV6MnlRIQA/XVEDhx4oPxo8I/mRSG2tcuDz71qgL3JMq3vMyK9QY6xMntx+duRf5NlP7t43vSIfm9W1lUbV1YAhUZ8azAJgANgo2nqYOtCBZOwJhVx7bEa6JIvYu9DZB93k5BsnE21cS8xzcUala/soGsUOPsGrCxyaXlm3WuvvVZGjRoVtb2u0gKAdfW8AwC0TQXGQgNDBGiBuQrtk8IprajoMUCGjQM2E9OFSySyi1+az7DSf5gzMfEmade5MrE+dYjfw+KInw/RifiBhgJbeXWjLziZDhkypNulqs+oOY/TMsfkPT/p9wceeGAhE7sLAGTc8sSyfepV5j22APCDmR/I6hetLp0vd4qMEpGFkwZFpmDZS0TWEhnw/v7ynrwqHy/5gkjv/ySAvT7ymekbyGq9NpKNV/yybPfFL8vwjdeWvn16WTe3Wf0utYGsq0grlR1AwcGeA5UGkwASmKsaXVwk4wXgYdCgQUGsMtYDH/hCZc2QgHLZDwJXI4rE55CtgJA1kD1UwSBrbx5AZZ3mYIGeaV759a9/HTGf9957b96lpf3eAoClda3bg7MYQJyVWSzSUhYxccndijmOiDD01/JOH261m3c1p01Am8+CSR2J4kUmBBYLXy3XOvJhYnay+bhc24cpmmALNgT+JNWNkx39W1UUsPr7wUoSAERkWVUFBpmFzExSzr8xF2EwAMihF2sWw3hQiy0AbFZJElsx5WPHHStXPX+VyIUx5i8+IWAC50vAdP00u4/0+fCLskLHevKl5daT7b/4Zdltyy/LUp8tpgXYrJHX2i952nNlfWuat9jMeOErYWIbcFBWW0I8l0Ml0ik2rFmI99k+IymloJqLNaVg3A2HNZKDkU3w3HnnnRftOTfddJNtlYJf1wKAwbvU74Ga8zTp7iwhYE6XbCIsJgSK5IlP+tVu3l18pGuuuaYzADLN0kWyVKSxUkXaZOaqpf+ywC1MHAxTFVpzjKfqlOE/RNvpu6pKPAWhButkAeSidUvysbQFgLZAqmgdQ99vW+91LltH/vHSP0R+a1GDQ0R6rtxX9l36l7LdFzeUHTZeWxbr2R7NIWWhYCrYzNjIzPy4Fk/vuqTZ05A1QgStKWGibh4myODgl+brW6XvnMu8cL0WQAwYryrLlGv99Pokc7EJ3LGG4DuNe4yNfuppp50WfY9XXXWVb5UK39cCgIW7MMwDsgBgkg4cb1WJEqKNAC95UUdFa+oDgMggglkVEEOwRxGzdOhsJOqLSN9j2s5z1MZkBPgrM9KURZ3gCvz+CPwBcBKMgvmbCOSqCgABwE/mFwJiqJNtsI5vHTFnwSyahxgXAEhwUl05NX3bbAsAV7lwFZk2eZrILRZv2kNkyY2WlDePfjP1YjYz1R1k04LxVh81/rb5Tvmum0l8O94ZLuLDFr0e5BLYfgXpHALN9IGMSzxLDocmtDNtxitIBUt4CPsYlgUCJ5qlmJl9GCf182QPoT0Es+X5eX7/+9+PwP1FF2mKn+pb3wKA1fd54huzAGBSDlzSyLB52MinhGoiJkEiUG0jPrWOLinBsuqq2Uh22GGHwk1SiRzYDwI7bMyZRA0SrVyWnxkmB0wCiDCbwRWY95GkwdenqkJfY/KnvSxoNsKmReuWFGRjCwDpNxbfZgSANsDVlQFc6XOLyV++fI3M5Vvp0SNzaJIkTUx2EBYqySUiT0i56Hwo+34OOHz7jSqhwtzn0Gv6pKlAuApR04Y6gidCjg1mU1x7ALLNWtTPE1ci9hbGju9GGcKkb+g73/lOJJ911lln1dbsFgCsreu7vzgLAMLAcGInvQwgQSMwYWRspWFCNJNTGhM6b5M1zaoh6whjx4mXdHS+Eigmw+YqkWPbfp++pm1sqBTAnymHwKLCH3SyqiosYphlAMiwo3nOzyHqleRjylwC/OIon8VwAwDZHDlsNFPhEGcDAF19AI+YJHLpPSJz119fPp4wIRcEmn1mslCwURSTHdRx4HtgA2vU/Mt586DZJFTiAuHsCaxnGsjSSPlw8/re/N3FbOry3DquxVWGP/jKm9HF1EVTCUI2sPccdNBBkeUOLcC6SgsA1tXzsfeaTEe8SgRPQDEzafC74TTOphwyAtOmG/BFZCNOykmr9xO4QB1pj41Z1ea9eg2+hEiFDBs2LJdeT3ou4JkNl03NJ5qZdnGSY8ENWVgAAX9pkdEwqbCAmBWqKJibaSsbjm9f+9QzHmXN+5lz9A//ncVKcSgCmIQeG592uNxjCwBdooDb1hb5x7QjZPnf3Sizd9tNZl1wgUuVul3LdwxDo5Im/LcKHvMdYQ1oVgCIXhvrQNWZfbwHw7iRcWFP0ABBvhEOaaZPWhWHthBtYR5BcpBlqdkLyQpoD8BOizK5/Ptdd90lp556avTN4E6Ey8v555+fmzaurH5pAcCyetbxuVkAEP8rJhZmOVJd4Rvmy4A5Vqvb5Wm+iHoRwIENG78ghIptzKou9QHAkS0CZ2FXf0dNV0adWPR9BEcxU2BmJBAmVFEx5Sw28p133okiqEkcXmZhDuJvyGJMfQBV+ACGHse0NgAAeS9mZ8aLzY1xZi5RNwUh/B33WXvttdciP6hFFQDSZ2c8dob8YuIvcnUAT9z8RPnRFj8S+egjaZsxQzr72Wf3yJtfHMLURw1mlnFQORP+9vmu8t5Z1u8h04+VVces53LYRiMWqSaYcqRm9BvBh1dNkGkRq3XUOemduLyQpx6Zq2YvrJ+Y7bHWpRXGiCwgF198sbC2A94JGsGyxR/cbara31sAsEFmXBoA5MNmI9RThW3eyjKaBSBgwUfGxSzUnQ2YP2zWZQVJ8B4+HPSiXNhPBaZF05UBgAEZgJSihXHFbIm4NYA0K3q7CgFs6gMbRV9hgsacVIRt9ekf/JlIB4jztKaX47AD8Gfs1Q/N9Fnju2Cz4x7AOffD6LhKDPnUN8Q9tgygvisSg5547rxMIG+IyIcispSIrCoic0WGfn6o/H7334eoWu4z8InVqHnGAXaQMTAFj6vayHIrm3BBs2voZWnOacSqgnWajwlSwXojAXVAEC4uVQa5+cwXm3vYA+l79sG8gpzZCSecELn2QGyQaYs1d7fddqssMrgFAPNGqcLfmThm0ShV/oaFsdEWKrO6RKbCAOA4rYX/hxkjUADgwKmzzMJHwmnJzNCR9j4TmOKTAXtapKQBYNdnmtHH9FkemOWEjMZjWU7SSf6HyrbCLlQVYUhUJg75bAYaAc0YMsdMABjvb74bgBR/c62yUrrZNbIpzBUA0vbvP/h9uXTypfO6oUOkT7vIoGVWkQn/flP6f6a/PHvIs9KnZx/Xael8PQAQE7DqYtL3sBkaXWymQ2Ms8ua5cwUK3lBW/tmC1bK+3TZ61jRBwj6ZQB2wzjdXFcuf1DhcXGCTq5S5su5kxwuxntDfNiQBjOcvfvEL2WWXXbreosEkPlq7jlWNLm8BQJ9eK+kenK+ZPBRlrTCHscACAOoGgIg4c+oksIPCQgJTAxjj36rYaG3T0fEhAUyh40MBU83JC5j0LT7Rx2yoAIUyZBJMPyIzGhqWDbDtY2736RtNog5owASi6fZsACDv43AC24QJWHN9KjvIoUT17opkXfBpV949PgDwoHsOklun3Nr16OOWFvnJxgfIepPGy5v/eVPO2fYcOXyjw/NeXfj3rFy6jBtrhYJBxkQjWBmLukEHjUdEGb+zRgOmtgPjIjpsPlOBupqL+X/GQw9MsLhVMui4N1EX3Vds29+I16HYwT6Y5SdPvfk+MBNfffXVteoftgBgA80iACAb4SuvvBL5RKg5FdCAb10ZGTBcmk+dqAuAio8WRqxMYeCkutmko1N9RMwcOOOGYrDMaGyXftNrCeRggcBMiXyP7SJb1virTA8+jUR2m/VRcztzrmxzERsQ85tNgJOzGWXuAgCpP31rFthN03cQpkPBIOxHnlaXzzi73OMDALe7cTt54u0nul5zwedEjlxnhFzUe3v57vjvVsYCIgvFPOaQmlc0glUBoQk6lB20/R7y3mXz+6Igogyoxi1liy22sGly4jX0g2YmYWzwI9RgEsbFJv2Z98vn34gfNGA2y2+u6Duqut/2e6bfUSy47777KlV3iPdDCwBWNTMs3gNbxUaIc6+Z4Jt/R5KDiMw6Cx8qVD0nZv7Oy5xRRl2TtOLM9+BP8vzzz5eijxhnQG3bB6gHLFM3/P2U3bK9n0UZpjWUUj6LD4wZgJQxTJMSGj16dMQ65glk27Yj6TpYInxcmVOAhHimFVsACDinxAGg+U7NuqAghI1Pc7IyJnXIaNhuGGY71r18XXl7+ttd/3R7f5GdVt5I/j14rGx01UaVsYAAQMC6qxSVgg71T2N+c0hTYA4bVTYwVwAIeHINKCsy30Pey8GQA2XI4LCk9GfxYJLQQJ0AN/a8IpaVkP1a5FnsPczfPK1c5h8HJ9a+OtvdAoBFRjvgvUyIBx54IDKnchIyF0AVQCZCKPTH59IEGEA2WupYhwwNdTUjRc26m6CG0Poy8vWqHA9tty34pQHeAB82/n5Jz03Ky2v7/vh1yrax4GJqBfSkFUzAbJBZ1/jWg/sAAMjNaGQ7gIL/Nn01bQEgrDl9bON7o3WmD0x2EOZDQYhqdhVpn829rgBw9tzZ0u+CftIp81xFKE+vKrLh0ivJrH+dKr95f4wcO+s2WWmJleSZg58p1ReQzDiwGK4AMN4vgA7AjI4FrK1pkiwDmKvLQTNn0ahCPsVk0BkjSpImpM1cT7uGgzXrUjy4sMgz67rXNjsO7WWtIWq4rMQCNn3QAoA2vVTRNVD6nEbjIA/TMOCwiABy0SYQiMBmjZ8VTFRd0X3IHrDpmNHQ9A/MKYsVIMsmQMSnP/hYWXQBTjZFmTsWTEC9r6N1PC+vzbuTrlGncTZUG59NItNgF8roT5W/MaPGAYBEaptR5C4AECBB8IhPURkNZQcBhwpCWKjL8otyzWDytw//JhtcOc8HV8vUz4ss07OHdJz1BZnz4gsy8PTl5K3ZU+XcIefKYV8+zKc7rO4BAKoIsdUNlheZJknVt1P/tFBme+YKUcDNnEUDP3GiTqsSiOcbwRqlzC0HU9YSHRu+F599wYa9t5w6tV/21FNPRQfYPLUO5jXuExx6OGzWVVoAsK6eT3gvpwI+snipIyJT68AGzAkN9gtaGyBYZzAKpnAAgrJEgGZOXZjyYP7KNB25pGRTH8kk/zrXKYeZFOazSAo8xg2QzBjCktkwyffff38kPh1SKFezxGAON9Pd0SdJqQZtASBzFBOyLwCMjwkA0MyVa5ooWbB9wXz8PU4AcOZMefTV8TJyzD5dj1miTWTaQJG2NpGOM1aS9pfelvOvPVa+++oFpbOAfIs4u5cZscjaxzduAnO+dWWhfIN6mCu4k+DiUOaa4fqtu1yPPBQHqSpTRJr1Y7/SbBeMD33Kt6Fjg1uHzTpDcB1jkBc44dI3dV1ry4qzP2D6hbyoIngyrT9aALCumeIAAH3174o2jclJJC0ncjZrlXypMxiFyEPMuwAZ5ELYQFk4YAVtFpsifcL7+HCzMnKYafBC+UgCRmArAICubWTuYLrHREqUL+rztgXWGW0uNtwQhfkEi8zfsKhx30JOz5gTTZOICwAsy4ykflEKQtRECfBhsyvCDrqksOs5apTcfNGhcsBuC0ZjvcVEXlx93v93/uwz0vanj2TqH/8gGz6yh7w1/a1SWUAAIAccV5/WInPJNNvDogDETZOk7WbKXCETCJqiocB8kXb53NtI+nka9a1mfKwfWLOUHcxyqXD5Bnz6qcp7sFBxCM3SdaU+qurB4d6HNQ3VphYADNWTAZ7DCYrNJqmUwcZkVVmZNRyAYdZYWPk3ANjQoUMDtNbvETjNspiwEZBzMRTIsqkN7wNMpTld4++nKdQAzKGCJ3gu0c+uLgDMJaIENXLbFcjxTtqBaadoUfOzSgYlsS4AQEAVphEttgDQRYC1aFs4ECkYjAcwuLKDLptfz+uuk3Nv+G/58ZAFLRjRV+Relbf8hYg8KzL91VflN2/fIceNP07WWGoNmXzwZGlvQzk6bJk4cWIUdFMlADRbkBTUY6YLzBIE55tCeJzDbJ0bcJERaWT9PPPQBChkvVbmFnBkjg1rFP9vfvdF+qXOe23zS7OP7b777pFFzfVQH7J9LQAYsjcLPisLAIbcjLOqyYYLy0V0WZxZC+WLVqSb+HDwPcEkFzrXcF69iHyGSUuSXVDADFiKB/HkPTfvd/UBdcnLC0tFX7G5AeJ8Ih0RygVgF/VRUfMzzB6AIW3Bo75sDkkyMGz2WRs1Lgq02UaBP6+/XX7XAAYFhIxV3Hcw63kuALDX734nR487Rq7YZMETD19S5NcrzP//34jIQyL/+de/ZFZ7p5z9xNly6IaHSv8l+rs0yfpaACDuBHlsh/UDC14IqDPN9vF0gaYcFHMF4XH8mevcgIs0GYsEfoBm3tkizyvzXmVu1WTMt6x5i1lXOfiVlUGqzHbFn42lBqtJnt807gdHHnlkRCjUOf9aALDK2ZHzriwAmCd/EqIZbGZsSGzYLCrxk30RU2SI+rF4wEDieIyAa9WmG/oFYBz3gVRTdAh/v6R+Yl7AAMO82pi4VGwacyp+Jr4MB4sZYNaX4eEwobmFbczP+HICNn0BYN1SEqa8iWqqoaFoypvE56wTALz8ctnl2eNl3MAFs+TM5UROWnb+/98s0jm2r0x/550Qn1vuM2zNXbkPKuECM10g6wbBCyY7yHeECTuUtFIJTch9JD7JfOvNJqCcNDYcUAmcABTCFPquWbmdVuIFKi2EhShPXBz9v9NOOy0S+K+ztABgnb0fezcAjM0+qXBahZErQ96E92HWYgNmg4JZSxL/VSZqu+22qxR88WHh7Ix2HSZpFog6JAPY1DFX4DdEYSHDlwNTTJmmaJesHBp8AjMD41bkdImPFIyaj5O/5joGNNuakTGfM7b4c2pRE3AeA8hJGn8aM01h3Z92kvix5mNV8WMnAHjxxbLhWyfJy/0WtOy6FUT21eyL40Q6xq4kH/35z5U0HQDId1iUIa6isqxdGr3K38wr1lvmN6DDhyGvot5Z71hUBJQJ/mJdZzwA62YKQfWxrbuvbd6vkeU20kK33HKLXHLJJVHgW52lBQDr7H0HAMhplcAHFyd+26YRTUawh+qxpZ2+6ohG5p2ckli0AaaYCwADdYhnKrMGa5AX0GDb9zbX2WTlMMGoj9h0Uj3wZ8Gh2VXnjb7hMKFp3WwziRClDEuDtIgrAIRpxEWhkQCg2aemkzxmO02NxjVsfgCpPNaj5/nny7Kzfiwzey148qOriGy5+Pz/f1Jk7pj15OOJE22mVeFrOJQCoJoBAMbHgjUP8M18w6UEk50GLDQLA8Whh4N7HWth4cljPMAUFORGa4kAACAASURBVOc74TvWYBK+E9YPDfSpQiTct20ugUWkgLv11lsj3+46SwsA1tn7DgAwKUKyaNX52NBgYvPE1IcGW1apOhpZWUkCBmDYWAiKpmMr0mcqyEwSb/zVqpCe0fqOGTMmMj0nBZaoDiI+UEnRtb5txkkenz2bVF/6Dkxt9I0GD7lIbHAIwbxvykHYMoDMYd7dLOmklB3Ep5Txo5jsYBJo/uCcn8hqPf6323C+PkBkVQWEr4jMGf1VmTFmjO+QO90HAAR8hAgScnpxgIs1KAkZGDZukx3kMKX+aYBC2wNMgGo5PaLKwCenijlenBVNzndCoJWOD76bmr2HMfKVAXKsotXlLn6lsH9YWO6++26rZ5d1UQsAltWzHs9l4WExSipJ5jGPV3Td4iueXKY4sNkeTIcAAkCpyY74pmMr0ld6L5sGoAimpirpGX13Wr8DemDbsqJrfdueJLqd9SxYFVg8TLj0j6v5mTRK+M7gS6nFFgBiDoMtIGK9mQosFAADkA0zCPNBOwD66juojNTzPz9atuh9dVfzerS1y6yBHdKjbf4/TRWZc98ImTFqVCVdwLcA49qMAJDvhjU17s+rDJQGk3DoYyxMBiqPqa2k80WigLQi4udV1TPvPS5MsoqE852YMkAK2EPlfc+rc9LvuKDgo64uQlnPOOeccyL3oVEVfatpdWkBQJ+RLumeLACYtDn6VoMTlQJKV/Hk0Npw8TawAHOy5Q/sgpkWjGsxe6isiW/7fe5TnzZ87IjycjWL+rzTvGf8+PGR4r8pyow5HJBM0ASgyRVw5dWJKE+kGWyYYaJwAefMpzwV/LT34l+JL5aZz5f5ALNJ/2exiTjEM6+bEQACek2/Rw6BzHEFIWzybHAv3/QTOWiZcV3dt9oSK8jf+7+7oDvniMy+by+ZeTnhwMnl449F+vbNG3m73wGAMK6u8kJ2Ty/3KoAd3w7+WlklaSziYsfl1jT96YtKBg1b6ZR4T6gMkJqLOaCzPipYxwpRJVhnTnEAtkmUQAAI3/iVV15Z1/SJ3tsCgLV2f/eXZwFAmAImc5HgBzZTNkpOHmyybO6uoAFpEKLOypB+YLEF6HI6J3CADzheYHpgBwFhVRVlS4ky5QTqI8hctK4m8DZBchHAlVcnG79T00cT83MRMICvJ9GZZj5fvgkAoOpj8g3oH7P+zRoRmRcEYjJSN136LTljhWe6mr358hvJH5aa3G0YP5l4gMz62YWJQ/vyy+2y++6Ly4knzpJvfjM52CxvTpi/+27cLu8o61pYVg4cSZJOae9UP04F5urHabKDVSoTsI7zPpMxL6u/ynwuChesHXnSKXl1MAN9AIWmKZ8xyovMzXt+3u8AupdeekkGDx6cd6mccMIJ0WH3ggsuyL22zAtaALDM3nV8NguM+gPFbyUCFoDk6+RubtT40/kCON/AgLyuUJ8czC0AzDQqHwaOqNuq8l9yqsPEChglIILFquooaPpONfk44bJxwXaxaCaB5Ly+tv2dtEYEHaXpcwHM8PejANiL+koBhtjQ6Ge+BY3UZCHnj/4bf1M4vAAG+Zs5waLfbJIYbBj0m8kApo3PD3+6hVz0mee7ft522W1k/HIPS5vM6w/KJ385SGYdt/Cm8vjjPWTvvReXDz5ok7XXniuPP/6xLLaY7UxIvo61gP4ucw4Wq2H63Xw/zDebzTrtKUlR3qYGpG0qNN82MncAEWbQlO+z6ryPtY31PJRwPm1hjYBIUN1BE6yz97kKttv0Dy4cWEGyMkXpc9AAJKjzzDPPtHl0ade0AGBpXev+4CwAWMT3Dd8EQAzsChGiRSQP8NdgwfE18yX1CimNYP5gJLOEgrk3LxuHe6+n38G7AFu0lz+AaBc9vpB1QZOPvsHUiikUwFW2v4uZdi/eFoCxZmXBDBiC+VCWGwBIX5tAT5lqgKD+pqBQ54VqolVp9ik6xi4AcP+ffUnuXPzvXa88/ivHy1nTr5Yes//Z9W9vvriTTN3zjMh/EGBGv912W0857LA+8sknbbLppnNl1KgZ0q/fAtDo2wac2DlMNiMAZK6g6ZmW1ce1T0wNSEBH0QwxNu/PY49tnlH3NaqdBxAveoDMaouCdTUXQ7SYwSQEn7law+LvwyUHS4RNbuYDDjggsmKdfPLJtQ5BCwDW2v3dX54FAPF9Y/LC+rgUJiXgChYH01rRzRGzIM+K++a51EmvZQPHj4WPBlOmjcYhgQbc42K6ca0b4wDjSr1gODQK1kWPz/WdeddzSmYRg5GzkQzJe57N72mR5wrYFRgXXTi1LoAhCkBXdf+ynq0AEPaYOc6pXtkQZQaVJbRpbx3XuADA//r5GjK599Suav5q2K/kyH9fIT2mPdf1bx++v7u8NOj4aK3o6OiUMWPWl4suGhD9vtNOs+WKK2YG8wEEAHKgNP1S6+hDn3fSP3zjCMqXUTRDjAIOzR+tUjMhAMeikELNRTsv1DixvuPOo5HFHAYgRzSQhL9tBPfj9XFJzfeNb3xDdtxxRznmmGNCNcvrOS0A6NVt5dyUBQAxfcJIIUFiU0xwBUMTirGDFQIQITJcpPhGIUOzs2naONr61C+rXiqDg3RESHNFXj3xe+S0T59XqfkFw8eGpTk6aT9MNCwkwNgGsOe1zfwdRgY3BxhABXB597N443hNoAqRx9TRNBdzv2kqLnoAyquP6+8uZrw1zvmcTO0xq+sVt339Ntn5nYul5z/HR/82t0OkrX1lmfXlH8vM5b8mx53QV373uyWi30aOfE2OPfZvsvzyy0XC3ll5cm3bgDsETHQzAkA2f6Jobcx1tv2RdZ1Gr/JeBRwa5c3BxUUuSd/DoQeTM6bEZi0u2nlltZH1AsZWwToWM1ht9e1kftusGy5+yIC/Aw88UA455JCymmX13BYAtOqm6i7CryqpuJg+eQabImCGE3pR51qzPpiSWXRsfJbSek3z5vro6OmGTxL30EU17PjgAThJi/LYsWMjv6GQfZrWDhYmAAIsLnWBwQ0F5G36zhxrTupsOCyUmC5Cb/q0VbOY4DsFSOEPm2Pa4suJm/6hX+KboIJA6m2aiml3WiCJTZ+EvsYWAH40+yPpf2F3nc6nR54nX5xykvRq+0Qef1nk9akiqy0nMnhtkQ9mLC3fvPgauXvyznLmmTPl0EM/kvffn9rFeph5cgEiPoxHKOf90H1q8zwOkigNVOVLbNaJOckaqMEksFGshQo4bLXtWOP5RkJYY2z6rIxr2KuIJm+knMzUScEgf1NUo5MxSjNVu2QjQirmBz/4gey5555ldKv1M1sA0LqrqrkQ0Ka+T+YbiXwl6itPtkCzVTBRCRjxOVlmtTRJrNelZ3ST99XRY+HENDlkyBCX1+Zeq2bNPA07fABhDUIDoHgFNZsGZl/M/iz2NpIsuQ11uEAzc2B2hg0EOMH4FPEhjb/eDPbgNzWdsUHzh/YzlxUQsvgqE6kmeptcxeo72GjsoA0AnDlnplz69KVy6oRTRTpAsPN68Z8DRB5/TuT460X+YqT/XWtFkV/s0yY7byzycOco2fRrw7t1O32AD6cCEBgPM0+uLTvYzAAQVxLEw20tKg6fjfOlAEAFHKa2nZqL08A5BzRY+DKyQzk3wvMGmNFGzsmswSRqLjZ1IVmXIEPU/9lFmBs/wfPOO0922mknz54Lc1sLAIbpx2BPSQOALBAwMGkik0xUFjT840LkgU1rEFIdgErMdC5F2SyAVpG8ufh7IVBMJG6IQr/RZ5hZbfwQkWMBkJUpfqsBFrwD8z39TUQuJ/0qT/uAfRY3NksAGAcKG1OI7biouZa5QYGVMn3+VAJFwSDgH98prgcYwkT6MLEaVWxGF2udq2YH8wDgva/eK0fce4R8MPsDkddFZBq540RkNZHPzBX5+CaRzikL93h7m8ht322THTddSmYOf1mkRx+ZPl3kued6yNNPt8vkyT1kq63myoEHzo5kdhQMss7QB2qezPKHIjCJjYwxabbi4rBfZdtU207HA4AUN0fqN8JBmPWgSqtA6L5gPacdNuLJod/t8zzVhVTAzv9r5DcWJLXUZD2bdQ1Xnuuuu672drcAoM8sKPGeNADI5of/3dChQxd6O5shDsGcHjH5lpmbEz8tJjA5QG0LDtAIT7O4wSAV0WNiQcT5HC2+ooWPF5aLZ9rqUJWpg0h70gIsyJfJQl+lvw8nc0y+HCgQmw4V7EE7TYkX20ANFljGi/nO/dwHUFF20MeMqYxgXGpGAan6IoYEvua8zQKAgL997thHZIpI59hOkQXxHyLLiQhnoLVFhMQfC4HAxWXV5TaUE0YOkic+PFqemjJQpkxpl85OTRsisvPOs+W662Z2+4zSAIgCQtM82cwAkO/srbfeqlRP1Ge9MsE567tpuufQynfpkqrRpw5l3mMryF1mHXyfrZHfprmYAzOsrErNJK1J3Ic1h+xONhHDvvWzua8FAG16qcJrACXKiJivxUyDr8T222/frTacoABXSILArIU0zyU12zUXLx8H9SNzBqeeonIhgElAGP1QZFNW3UHYC/z9bMEDZi/aAegIWVgUcErHj4RxjC/qZeSCTqu/1gWTBosZh4qQxQR/tsEebBTMI4AIhw82Qg5Fyg4ynvhRKRi09aOKtytNZobrymAH0wAgZt+1L11bPnzhQ+m8sVMMqb8FVQbL7SUixAD8cmOROV8RkUHz/6wvIj0XGraVV+YQNlc22qhDBg+eK1tsMTdzaPnelI1S86SCQawB+NA1IwOITzV/XFUVQn4Hrs8yTfesqxyIOEzzjZqyP67PrfN6F/HkOutp825IGNYI9hLGJ429Zf1jncLCUiSxg02d8q5pAcC8Hqr49zQAmAR8lC0iOhTpjCKAyLaZgAIWHkBKVjFN0piLYa5CMEj0D2nRhg0b5u3fWCSFGuK3MGIhT90wWiwGgJi0qEr8fWB2OfGXWagLrgYALkwb+Ny5mvvz5oUGZtiCP0zQqseYlr2G70PBIIsvphgFg5zGfXxhzUASNVdr20JFFqcBwBv+dIMcPvpwEZJ6mMxfvHNhAo8WkduuFXlu/9iv78jGAybJyC3eky/tuk8E+lZYwV//LylaEn9BvgUASAhpkzLntvlsF8mOqurk+h5SNdLvmgGD+zWQhL/LJgNc65t0PYcLSIWy5HhC1NH2GazhrNFqpWFNMn07SfvGukoAI7mAUXao0qUnqR0tAGg7uhVdlwYA2ZhVhBgWDQ0rAips/NZCVh0/Qz7arJMzGzwbNpM/tEm6iBafybL5plDD/5BAkVB+N5wSCbBgsQZUp4k7a+7mItHXefMAZ3TqooLhSL4AdEKcUjXYQ0FV3N8vqW56iODQgS+kLejmHTALCghplxlI4ivhk8YOaluSUtTl9XkaANz/zv3l7ofulo4r5vlHZpaD20WmjxC56SgRedL487Y8eqrIzAFLylNr/FD2XHdP6dc3HHONPyzzUTMuMG+KSpvkNTXU75h/mR95B9lQ7yvjOaxFfJuADr4VwIUCDv4bFlwDSWDHqyAIXNtJcCNWj0YIxnGte/z6rKAc1g4seHfeeWeUTYrvHksScjDDhw+PgjvrAOwtAFh01APfD9DTvKfmo1WDDuV6/PC4DnBVtfklT48QQMOHAONSNOtIGigYM2ZM5Dzr4ksIsOaEhim9iHaZTX5c2ykBkAbYEcWn2ndp9xaNvs6rE4BJFzBMrGwWzDMWrqLag3nBHkl106Ah+oh5VCTbBGPOc9hsaKetzExWn+XJzJigMOs5aQBwx1E7yoQxE0RuyRs5EdlDRPqKyDXdr127v8iUc0X2f0fkuv+I9GzvKcPXGC77rb+fbL/G9tKrRy+Lh6df8uCDD0bMDf2ZJG1ipkUDdIewABSqsHEz61gzpg402w+gIDArKSCN9U4jV/mb+Wqyg2Vm3XAZo2bxxbRpEz76sH95+qj4bnKgvf766yNSZ/To0ZGvNczg2WefHf1WVWkBwKp62vI9aQCQ2wE+ACv86fjwi/rTWVap22WYTpjASZQ9GyxAxQbQ+Lxb78F5FiBsGwGKaRVww0bFid/W3y+pjgRjIDqclh/Xpl2meRywZfMsGFVOiJj6QxfYEMwR8ejxovmnqaf6+6m0kQ0LgUmLeaSHnJCbFc9k48+SmfHpX1+ZmTAMoIhMF5GbFtScKODfH9cmwwctKZes9AO55k83yeR3J3dd0G/xfrLnF/aMwOCXPvclnyYLDCDfYdJBTDMtqPAxzLbJDtaxdpmNREKITRdLQLMW21R8Gk2vvpwqZaLsIADS5rsso58WBVO89gvkAPJmef7hfPPoHsKc0++MD/607O977713pWbhFgAsY1YXeGYSAGSCQJOjA4jJhY26rtN0Uio26oeZjj8A07J1qfABxGRgwwpRX8CE+kkW7beiwRgABcAWYNnFPM49bJqh/fE05R11iS9crgE/8Wlvgj8bky/3a95qfMtC5RhO+xxNmRnGQ81m6juI2cxnvuSxg6apGJYVcKQp7LSu7j6AIjI/IxzM3zn7tslOG4nM/MqNMnfFEdFj//SvP8n1L14vN750o7z38Xtd3bLB5zaQfdff19lEDAC0yeEKOwjYUgCCb5QK6wJCAJA+/VxgmY0OsYx3lWxLkfom3eurw6hSJjoejA/joQyhi2WlaJtgYqlHM5vitQ8ef/zxKEAtT4UDpnCvvfaKBP6rnvfx8WoBwKIzOPD9cQCoTvlEPLJh8aHwodZVYE4AI6RDo7CYEDTAaQbTqg0oK1p3TE954Im+0rRlvv5+SfUsEoyBpAP3AxDwoXRhtjg1hvLHo13MKyRVAFzo6SW5EhCVDJPjw5L4gD82AsA6jOiaa65Z+eKozvTMcepCCSEzw3PMjCTKhjKe9DEAEObALLZRwG17iyy9jsitIvLeVJFVyQSylsjs9qVl9iaXdYE/89lzOubI/X+7PwKD9752r3wy95PoZzURn7LFKfKFftkyT7SB75Cc3K6+S7iJKPgAGNJ+QDd9bQrrFl0nsu7HlxnLAAfWZi2oIXAQLuIGxDiqiwRjwj4DAFQwWPZ4LApAXOcPAYIoSuTtgcgnHX300RFh0gKAzfr1lVRvNgo2ZwqgCh8xgALADzHg0BGors3QTCNQ2Cqlgn8PEz8tgMH1HXnXc/Jl4U7LAKFRtfQfQCtk1g7NjhFnbPLqrOnvOB36MFuwv8yNov541NMMPAFIp5nEAdCMscvp3Az2AOjaRvrCBNBGTtBlM8h5Y8XvtKMsmRnVHARwcnhiHuM7FJeZue/V+2TvO/bO1gFcR+T2lUR2XWJ+LuAlBsisdX4oc/p/LRJ/zitTZ0yVW6fcKte9eF2XifipA5+StZbNdjUoAgDNOmnmFwWE9InJRvkG7OS1G4sK30GI7ynvXWX9bvpghnoHaydrvI6HKXRcBltLXnEOmc08Dtr3trqY99xzj5xxxhlRoGTdpcUA1j0CsfcrAMQ3Ar8AZD+UDSHsv+p0YPHuwWwCEAXEsHmZ9auqK7OkWDjNEsmqoDk0KKXNnJAZE9uiY8k9voLKmGrZHIuarPB/g4W08dNkcQYE2eoA+gR7cA9tQ5MNoJlnPrHt89DXhZaZ4XmMA/OTzU99gUx2kH+777X75MjRR87LBPKGiHwoIkvN1/6bnxbul/1E/meZeS2etdaJ8sm6P/JqPibih15/SI7c+Mjc+wGxMFBEL4b6xmh7nB0si41ibjMGLoL2uZ1S4QWhAHhWlZPGA7Y3pC8nh0xAZgilgQq7f6FX6Xik+cSaN9x8881y2WWXRSnw6i4tAFj3CMTez8fAyYANEdObKX0RIgChaHNhhABgBKNULUGjdU+TYlF/P9iUsvwkXVLhKbjB4RxwQ/CObylijtV3Ug98zlhsbTKKwJLABmDazys+wR7q3gADAMgsi+3Jq7vr70VlZjhEAf6YD4yFOuCnycxgDh74m4Eya+6srlzAP9j8B7J076XlBw//QIjlfWJVkY36iMxc70yZPfA7rk1yvr4MABivRBIbFfcddK74/Bswv3GgalbgAVEA4xQSgOf1pbK1KjUDgC4a6Y2fMWsH63UzF5fxuOqqq+T222+PgqjqLi0AWPcIxN6PTwSnoqQNsYj/WYhmsmDCruG3g+9PSNOqS/04OeEnpiKaZhAKDBlRumUVfPEoecyBys7AaACgbCOW0+ptK8CddD+bNeZVmEjmVZrpPH4vflL4w+EjmFUU/LmYfAF9msHGJRNLWeNa5LkuMjMEm8Ai40KQJmpNXeKBJP0v7i+fdMzz1aM8uPeD8uUVviwHXD1A7vzgQ1mnl8hTq4m0b3SJzFktLghdpHXJ97pseCHenuarpmyUayQrByraEDKoKkQ7bZ8BOMYVBl9sH5Fz2/dkXcfaZgod++hAsi5R/7gPbIj6VfkM9kaIEeTJ8iLcL7rooiifPZqAdZcWAKx7BGLvZ1FiMiWF5ZetBZfVFerDhoMrTFuRTBxFu5woKrSWYLHMzBVVBKGwYPHOLOdxNUOHkJ3RvsJkBfC2YePM/gWIArQIQMEf0oVlgzEkUi0rX6UP+KMd+FLCbufpHxadK1XfnyQzoyCF75pxZO64CInTx58997PSaeSDe2TvR2S9fuvJnAc2ko2nvCFvzxU5ZEmRC0deL3P671R6sxUAbrXVVoVklXwrqv0cj2TVvs4LsGp25kkBB9pxdUm4mGOnkd4KCDngEUWvwSRpqRkJKGSdLFPg3neOudxHewF1+MbnBXag9QfJc8MNN7i8opRrWwCwlG71fygnfzbtpOJifvSvwcJ34qAP84UPG3Iq6PAx0V2j/0LVCRaShQUTmvpRwWyF8kXKqicbB6aPtMhYGB7ATWgztE0Glni9FYgC+jBBuzIFeaLfGszgwvwh/Mqiz1wKlR4w1LwK/RyVmWFO0JeAcMaCwwtRr7YyM0TtLnUejn8LypMHPikDlxooS45bQx7+8AMZ+ta8dMFXb3mi7Droh9GFZQIDZaDqAoBmX2Tp3AEIk7Jg4HfKRl2GrmboeZT0PNYgZEdsAEcV9Ym/A0BksoOwYqo7yNqtgWe4O2FJgg1v5oJrFBJhMIB55dRTT40CPH/zm9/kXVr67y0AWHoXu72AxYzTXVIJGQlqUyvNxsCmDYBQnTgEK1n4Xdgkm/fZXgPAYnODncIUjP9ImZudWa+0yFjVasS0VIYWog0bZ9YT0y3MH/0Dy5Z3Kk3qewSi+fOVr3yl288a6asZa2w0/tRMj4sD4DlPLNV2LjT6dfQRBzfVnGNjdJWZmTF7hvQ7v3sKt+e//bx8fukBsvgdS0mbdMjJ/xI5898iy/ZeSp4+4FlZYrElojHXKOzQ30cjmCDTxl517uhnQAhjoEwUIISDK2spoMQlmKuR5hrmV1xhAICNXthHsCApW0vdsSQxJowPlgAbn+RGbiftw7UDn8y88r3vfS+S7vnlL3+Zd2npv7cAYOld7PaCLAAYIhDAtjYapUh9MDua4qCkr9lss81q8QGkPlDtnKAAElVLhiSZYnWT1xzJMA6hCwwSPnxxMJb0HthCGA7bLCNpdU3K+uIT7EH/wPqpCbuoP2Tovi3reRzkAOGUOEPtIjMzbdY06f+r7n6tUw6fIqss/lnpe89K0fNnd4rs947IocOukc3W2DXyIVQ/Qm1fXGamSLsBWWSiqNMHzab+yg4qGASIq24ef2vaQ5tnNdI1sPu4wtgwTo1Ub+oCE65gkHFhXqoOJKCwCktO6D4ByHKoIAo4rxxxxBGRyRspmLpLCwDWPQKx92cBQF8/MNcmMpnZuDCxIlERd2pFfwpQmJSD0vVdLtfDOmAywKSGGY3ggapLPDBCgTJsC5t8nu+Rb30BY7CAAO+0oowtzCjjU1RSBeaXOaeLmsq8AOhs9f1Y7GFsk0CQb180w32uGU2yZGbI87vGpWt0a/ar//2q9G//RBYf212w+eOR/xDptWR0rQJAEwzGZWaUJXTtUwWANk7vrs8u83rNkcu8Zm4yj80cuXW5tbi2mQMw7i8qyO96f6NcD4il/5mX7Du0C5Ow+nLCFPpYL6puH0CWQD2bA/q3vvWt6LqTTjqp6mou9L4WAKx9CBauAAtTUnE1A7o2jY8QgIOfG2bDNB+tPCFm1/faXK/ixZwOObmzKNQhHmr6xcFosQhzesXsG9rMZvZLHIzF+0zZJjY4gj1CpHMCSGLyJt2XT7CHCplzUEg6SNiMezNew7zgAAU7jY+Z6wYWl5l5a9pbctALB3Xrite/87r0m/WmLP7Q4K5/75R2mbHrhyJt7YndZvpsFmUHXaIeG3EMYaQ5rPHtmjlymwV8wGQSFGhjcmzE/tc6IW2G/5/KnWk2HvUf5LpmAOislewNeYoJtGf33XeXXXbZRb7znfLlmvLGvgUA83qoht/TAKANC+RbXVgd2DU+vLw0a1lCzL7vz7qP0xUskooXA0roo6KiyD511THAt45NhA0+S87D5x1J9xB5jQsAYCxeNCMLmxdmcddgj7Q6at5nGEAFD7bMn8qdIHyNucMVBIXqt6qfo0EuzItQfk1T3pkiG1+7cbemPLrjo7J2n7dl+ef3WgAAey0rM0aiFp1fTJkZ9el0YQcbLQo1v8Xdr8Avk4Mk81MLbVLgYaYC1OCFRjJNcsigDchxNXPBjxE/zCRpKuYjQJexUHaQMdPxSAruqasv2BfU8pJXh+HDh8u3v/1tOeig7oe6vPvK+L0FAMvo1YLPZCHSxdh8lG7IoT962DWYLIAD4C/PDIIPHgtnmXp7tNsMrIBBUt0/nxRlBYek63YEuomIpm4umnpF3w+gwsckfuLXqGOis33Ypqx68WyEozfffPPoMttgD9WyZMxc5E6K9lGd9yt7jhkIEF5E9Dvejtf+/Zp86YovdfvnCcMnyOLvjpaNpy/wI5rbdw2Ztb1feqk0EWpemuQ7yAHssccek0aRIXEdew67mBf5bpKKCT4A4A6XcAAAIABJREFUILDZXK+mSQ5bdR5qXHzOXPumyuuJZMYP08ZdRc33CtKZsyY7WJb7jU1/YJ1DNN/GLYkAypNPPlm+8Y1v2Dy61GtaALDU7vV7eBoAZCHi1BfS74NNHlOCTWowbQ2p4LgeFqysooykZqIwAytcMlSErB/jgskC/y6AWJVR0PGxN831ZUQdq08OPjpsegAazGVZiywLMoCROQU4LiMYJuR4hnqWCm1zQCtDi/LPU/8sm/y2uxj3tO9Nk8Ve/z/p/cyCtG0ftA+Up5e/PBonF5mZeD/ERajNw6gywHwLtrpnofo55HOI2MQ1wZalBfAq8OBvwJ8ZWZyWTztknc1nsR5gEcjyCS7r3SGfizWJA5PrWpEl/cO4uAqDF20TexL7QpY+LO+g3uiqnn/++bLjjjsWfW3h+1sAsHAXhn9AGgBUn7MQof9MRJg0FaZ1iaZF74gNpiztpjxGEoaJzTZLoDj0qKiZFTMQ4xMShNvUFSCMGRzGhQ2agwCm8TKCccxgD8aC9wDqMMcQwatg0HTQ1swn9A3gL4QPok2/1H2Nmc4uHi0fqm7Pv/e8bH71PBaW0iZtMv2E6dLzlV/JYi8scCSfvdw28vqaV3STmdHoSv72BSnKDiowZH4QtMLhgO9AGcJQ7a3iORx6AQo+h1j6QU2TADE2fvUdpJ/TRI9DtovvEdCx6aabhnxs5c/Cn5zvpmhWKZX+iQuDK0gvez2yzWnMt0P6wVGjRkVSanWXFgCsewQS3s9kZpGJF0AIp+7tttuuUK11s+Z5PowFDu5s/qSzCl34gHk+5mUzT6r5njR9utB10edpjmEALwsK5qOq5RcU/OMDSP/AkBLsEdrskRXsAbgDDKqOnco3MBcIHsI/J6QPYlnjGeq5gCDGAmBVZjq7ye9Mli2vXaAv1rtHb3n/uPel159Ol14vn93VnDkr7SaffOX/ov83ZWYAC4AUWBZlB31BCusS84DDCCyYKYhuAsEyA6JCjB/1py/UraTIM01ZE9hBVBNM06Qv8M6qE/5mmB2rPAQX6aO0ex966KEoIjakNYW5r+kZ2U/Q6AMA6pjADuala3Ntq62wOHWDdUZJg/W77tICgHWPgAMARESWBOA77LCDt/+JygfwwbFp+Tg2Yz4BeIRU0TdNmnn6dfjhcfq10VwqMrzUCZ8u9evCny0kC+tSNxgHTO/4abKAsfGGXsRcMntwLX3BJgRApmAqZlOFISz7xO3Sd2Vcq98RbS5bS+6Jt56QIdcP6WrGEr2WkHf/513p9ez3pNdff70AAK5+kHyy0UWJzc2SmaENtnOJNQh/YdYP5iAgkMOIyQ5SgTJFqEOMJ8CdyFMXy4fNe9NEj9V30Bd4x9/NGsifRgARNv2SdA3rK0CIQ23og6z5Plh6LCjKDkKA4HNosoNF/TnxC8d3Po8UYX4wFwggJIFB3aUFAOseAQcAyMn7gQce8M7DS4Qi4I0ADiKvfCc9k5cTPgxdiGJGINuYNMsKhokvGjB9gBwWWVguCkAMP8ChQ4eGaLr1MwC8+NcxbiRO9x27tIVYmT/dvG2eDxNLnZAMYkFVdpDFFoCgpuJGitaz7vCMC9lIMCHCCFcR4TzhjQmyw407dNVomT7LyJtHvymLPXmw9HxzVNe/z17zf2T2F3+W20RTZgZ2EHDIZqjsYBobo6CX65LY+ZAyM7mNKHgB6SSxMpQdyEbfKvDgu9CUaBrJ6hux7xJ1WrCrSrtd80njT+1DRPhUjHUOtxYdE9Z3gJsCdNYx28OQ+X7blHYcoNCwZfzKnns2/dMCgDa9VPE1nFg0zZb5ahbYsWPHOufh5T4oanSKYP1Uc8m3WSFT0imjAKAE/OVFIFNngAYgtCw/POrEBsHiTJ3MxSmUGd6271mw8NPEx4RxhP0NWRT4mRIgeeCPa3FAZz6RIhDwYBZO2JjCABeMFUUDSfi7DJNYyD7JepaCXiKcq1rAH/z7g7LTTTt1VWv5vsvLX4/6q/T+w+7S493RXf/+yXo/kTlrn+DcFZjLTPAOe6tgkA2Rb5PxxGxqC3rLFKF2bmDCDfgxY/6tMkpdWXMFH6wzHI4UfKi+qU37+PZ4Dt9fs5ZGEBNnnwWYa4APgB0Li44Jh6G89ZD+t/Up5TuDJYRIKOr3GGLcWwAwRC8GfkYaAOQ1rnl4VSCYvwEzmgapSJVDpaTTjCOciFzMaGZARJF2JN2bVydOjzguo+VUdjEjoQEcgNIi5v94fU1/P9uMENQJFhnQQLBH3nxK8kVjgVVTse0CW3Zf5z1fg6YweSeB3rz7i/w+9q9jZbdbdut6xMqfXVlePuJl6f3IUOnx/sQFAHDDC2TOGt8u8iph7eEbUEDI/zPGsH8wzzCePsVVZsbnHS73EMCCLxZrT10FAGiygxyMTCYqix1kHsJemT6YdbXD970qJURQow3I8n2Py32s7woG2WdsxwS3CA4TeYdCLDmsH4BfH6bRpS0217YAoE0vVXxNFgAcP358FPmlJsmsquH8ysRkw0U02dfcEH8HjBTPBgD4FDZTInlhJTEl2Uox6Lt4Nwt4aDMsi6qaNNP0wTgh4ri8/fbbl5r5Q1PM0WZM0PRZyPdmBXukjakGPTCPWMR8mDw2PQUXLLQwvmoqVrbJZ06VeY9GXdeVy/ieV+6RPX+/Z1cTByw1QF487EXpM34Taf/Pn7v+fdag38ncVcJpizFHyArEtwpQZ3PEhy2kzIxGnGsjqvIdjGegKHP+2DybgxXzS8EH30kWE0XQFdaIPNkRm3fXdQ3zCSHoEKoWZbQhaUyUscXqYfpzsh+xZ+RZ17BcDRs2LNo/GyFQqgUAy5g5BZ/JxAMEJhVAAJtvnnAmJgIcU/EZw+cv5AmLDQHznk3am3gbaBsSJpx88zKOpHVjaDOs6tfhVA1LGjdpmvUo6odpMzUUuFMPFnhOivpeIsCLnhx9wB910vzQadHZNm0zr2EumKZi5rxpKrZxB3B9p+v1nNRpN3PERiTd9fk2198+5XbZ7879ui5de9m1ZfIhk6XP6IHSPvOdrn+f+dXbpWOFYgoB+jA182Py5ptg49M0XRoFzrUhZWYUDMbdEcqQmSGgCjYzpGC3zVjaXhNnonBDMdlB1mBAYh3pMG3bkHcd6zim+KoVFfLqlfY7/W2yg+rPyToNKcJey/eQVZh3++23XxTAE3JP9m1TCwD69lyJ92UBwEcffTRizdIWLjYqgB8BH2VlqvCVYTFZLTYV38gvNcOGMIeaOXSpU54cASDl/vvvlyFDhpTiuKyBOmpu00VC3wvr6cO8MV3ZWH2CPZCcALTju1JW2jvqxYagfoP4yMByq6k4VPSky2cbj3gtCrxd3m1ee/NLN8uBdx/Y9U/r9VtPJh00SRa/czlp65i5AABu/ZB0LFtcF441BKYCExjsc5KZX7XwVCMypMyMeUBRMEgjVYTa1l0hq79hnvjG8jZs3zELeZ8yURya6W/WLAAhfwCAeWtWyLqEfFYz5zOOR3sz//lOYAAB6mmZYoh6/u53vxv5ULcAYMjZtAg9KwsAogPIyTXJeVkBFotmWaK0dDMghROPiwyL+tbxgbBoFaG/8R3hQypqhsWvCb862A1bE7kG4iDI7Atgk6aq+pjRrzC8cVOCbwCQyeholCb/ZpvWDZ8V6kT/5Jk3Qn6Cqq0GIGTjw+ysYJATd9lgTBlPfMSIcq5zsb7uhevksPsO6+reDZffUB7f/wHpe9dy3bp8xrBnpHOJtQoNAwcNHNrVZ9iWhY3LzKjvlDKEvuOVJEKt81cBoc9aMnHixEjGKikHbaEOLPlm1gkOJriq8DfjxDqk7GAZGndlNYkDBmRFUn7zst5Z1nPxCyeoCHKCdpmZYlivNJDwrrvukp///OeRH3UjlBYD2AijEKtDFgCEQmaixQVMFWDBDAKwfBdcm+5AhgX/vXhe2jRgg28dkcNspPj7Fd1MMcvhC4kvha9fozJtsFr8camTayBOXp9qYAWgA8YlKTqMhZ/3+gDPeKSvzYZpskAwyXVGrMVlSwCHKlvCfA8JxBkr5jeyDph00nxB88Y05O9XP3e1HDlmQcq3Qf0HycN7jJK+owd2e83HI/4q0nt571fTr/gMA944hPh+W0njhctKnsxMXsU1stjUHdR7kvIVZz2PgzTrUZa7R1596vxdhYdZu0yNOwAhfa2AsJH1ODnY4WOqucbr7M+i78Y1C998WEAzUwz7MkwnoI91lEM0FiTmXyOUFgBshFGI1YEJBMhJKvhMsOnpxmQKKIcCWHldwodrkw1DQYTmSM3zW8x7r/5ehA1T3yaYLSRxfKIAx40bF7GfmCWLFpgTWEgAe1xyJv5sH+Dp4++nmR7q9HtL61fV8VJTMY7zLLqm5qALmI+/B+d6JHeqZjyz5tEVz1whx447tuuSwSsPlvt3vlAWH989P/DHu/xbpH0xrymJCQvwBxuO36nNIcH2RTYyM7bPMq8rwg4+/vjj0UEZxqwZCwdqADpmbC1JGncAQJMdDDmuRfuNbxjrAplAmrnQ71mC1sz/a665pgv4sb7utttuMmLEiEjVoUopong/twBgA868LACIFhdsDCc/zDX4ZnHKsBFQDtVUNl1AC35waSWUv1/S85UNQwfQxf9F87ZyIktj2mz6yCUSO+t5mlUEZsRm03UFnj7gDz88TfWnASg2fVLXNRyUOJAoIAT8maZiW39J+opNFX9HTuquyenLbP+lT18qx48/vusVW6+2tYzZ7ifS55EF319nj74yY+d/elVDg47IioFZtAiAzqtAksyMZpBh3GxNzvH3uIpQP/bYYxHIb6Rxzus783ebzBNJGTBgPKvKj5vXHr41ghV9ggnznl3l7/QzJmBy++atN+eff76wjrN3jh49OlKzgIgYOXKknH766aV+e0l90gKAVc4Uy3dlAUCYNxZJTMCAMCZc1dGJ+M7hQ5OWkxiTBCCCBb0sc7QrGMI3g/6i7zBvFVGe57RXFHCjBA94Z8O1DazAdLDZZpvlmmM12EM3RfWVypt+OJjjm4KZPnS2kbx3h/hdHbM1MIExN02PaZqFaoLn+jJ9Z33beMGkC+SHD/2w6/ahA4bK3VsdKX0m7t71bx19VpKZw//i/AqAM2Neh7k7KfAnpMyMzn/9HugcDSDBBMfGayOn5dypFdzA2sF8RuHBptAH8fy4HJ7N/LhVs4OLQjYT+h5Gb8KECZF7Tl4fnnXWWVEa0+uuuy4aNtYq9jJM+qeeeqrNUAa9pgUAg3ZnmIfxsTKpkgonPw1HBwRi9s2bdGFqteApWVG4yBPApJDnEDN1WWwCLByJ0G1O8DBEAFIYjhD9RT5mBFh9/IdMbTWAqIsMBWkAOS1ntVmlNNj8dMOzGQP8NPHHQZA7T8w09Hwq63l8J8oMwpJrhgv6HNMf3w1+b8wNTPC+2oZl1V+fe+4T58qpjyzYHEYMHCG/3/Qb0vupgxcAwCXXk5lDJjlVRbOawPTWaYbSSpsyM2yMyuZqIEkeu5LW+LgINe+BeeEbBgCWITPjNBAeF0MEUHdfH1VlYlWImkOQ6TsY2q82qYmLQjYT2sU6AyECAMxba3/0ox9FqRcvu+wyj1EPf0sLAIbv08JPTAOA/DtBIKoAHzqRuW3Fk6JwTX8/GEkfcGT7fq6z0UOkv1RwGmCzyiqruLwi9VqkeHieq4SERlhiZsUE7epDmNdm32APTp8qG9SsPlF5A6sbngJC5itAGncANj7AQNUHqbw66+9nPX6W/PSxn3Zdvstau8jNG2wjiz13XNe/zV1usMzaalziI5EU7dlzwU/ME3yv8HesOquJbZvVkV7HK5TMjEr7AHD4hs0SUmbGtp2+19mmHrN5vjKxCgb5JmAH1XewrFzerM28C1N8MxfWc6xLNqlJkYChP88777yGaHILADbEMHSvRBIAxNeJjx7wxwSC/aqrxLXwNEMEi3ZVJjR8LmAu0mQcygpAoc/xH8J06yKLovmF1WTvY4LOYh59/P2YU5j/GL+qxq2uOWu+l76CfYCpZjzoB9gUDSSpQ3Mwq19On3C6nP2Hs7su2X2d3eX6db4oi710Wte/zVlxR/lk85sXesybb7bJ17/eW04+ebbsuuvcSAcSCRECs4r4wVY9jiFkZrBcEETH4VRTTxYJJKm6D8z3qSh7XA0iRJ00lzeAEOYcdlBNxay3vn6a8bpxCGl2MWvahA8t66iNKsbhhx8e7R2nnbbg2w0xZr7PaAFA354r+T5YNi343BGhp6cyPso6HWdNSRIN9mBhqDJoIAuEqZwFizubXGhzRpYWY9K0wCeS8XPNeRx/VhrzyHho5hgbfT+eazIh+EL5Sn6U/BmU8nh8j3ClQFCdDdQEF2x6gHMNJIEdLFNSyaaBpzx8ivzvH/+369K919tbrll9een1yq8WAMBV95FPNrmi2+P+9Kc22XXX3vL22+3y+c93yB//+JG8/PILkS9YMwN+H5kZ1fzEvSEt0MVGZoYObgSmGMaJtpTtrsHaQt8pO8h/43uo7KCa0G3mcfwaou0Bm3yHzVzYjzlM2uji7r///pHu4fe///2GaHILADbEMCxcCQWApIzB3wNnXxy12bzw3ak7dH7s2LFRoMBrr73mFMgQqrvTQJhGNLJxY1ooY/MmiwDmZJvTt6bkw/fQ119H+wxHY3wrTebRjH60DfaARYZBwO+L5zXChhZqXmQ9h82M+YrpCdCbxB7DdgDYNZAEfzEzSjX0YcKm3T948Ady4ZMXdl36zS9+U367Qpv0fP2arn+b/fn/ltkbnNv1/4891i577tlbPvigTdZdt0Nuvnm6TJ06OWIAcdHwYaBt6lrHNXkyMyrqzRqKiL5taWR2ECaT9adq302Nuld2kPlksoMu8wqfY+5nDWrm4iJng/wLf4466qiGaHILADbEMCxcCVgJThUACDYr3fR9snCEbiILIxGpAAeYhDrU9JNAmILleBq10O0nkTwLL9GyaUVlRQDroVLyoV1G22ASfYM96CPSfLHoZtU/dJ/V/TzmLKwfp3VbYWuNnFQ/NIAE5mE1FcN+5Dl9h2g3EjBIwWg5eIOD5bKlp0rPf9yxAACuc5LM/sKPov+/884ecuCBi8msWW2y+eZz5dprP5S//e3pyIKAr2MZh6IQ7QzxjLjMDICFsVfmz9d86SozE6ItWc9gDUI9wMUNJXSdlB3ksKSCx0iUmexg1veRpGUYuo5VPI89mXXexipH9qojjjhCDjjggCqqlvuOFgDM7aLqL2CxYbOHBQRgmfIVfGxsZGgO1VE0ahIWCQfyqk+g2mai+Fj8YNVYiAhkIJLVNbLWpw85fWMiZAFOKmxC6DXic5SWS9XnvUSa8U76HKaKdlNsGDyuxeRCH6WxXz51aoZ71H+WvwF/viyeRqlqejr63dQcLMuMfszYY+TKZ6/s6urDNzxELmmfIO3Tp8jcDpEe7SJzVt5LPtn4ErniqiXku9/tJR0dbTJy5By56KKp8uc/T45AK6a2KgBro8wJNmXWStYJDtQEHISSmaGNZkYS/RZVZiZEvuKsfiQYEC1Y10C0MsdGvw/AIAxhWjo0rQMHUSLzXVjZMuvv+2zmGWsCa0te2WKLLeTHP/6x7LHHHnmXVvJ7CwBW0s3uL8FBloUrvqlgngJcEHJedYEBwfcEyp//RuOvrgUInzrMvJhBCI7BDOQTWevTh7ybaNmkhUv1BgEZoWVFlPVUAGhr8mWjwo0A/x0WKdfoY58+apR71NeRjQb2KxRI45DGIYgDGX8Yd01PxzfhIlCe11f/Pfq/5ZrnF5h7j12mt5zfb5Y8/rLI61NFVltOZPDaIv/5ZGnZ91fXyN2Td5aDD54tp5zyrrz44rPRoYG5+mkCf5j5X3nllegbVAtFmTIzJkOoYFAPZ2XIzDR6LmP6AMBt+g7CmCs7CFOIliF/px2k876LRvmducZ+yPqSVegT9qiLL744ygDSCKUFABthFBLqoKaL+E9s4pz+hg4dWmnN1ZcNP0R8afDBU3NkpRWZ/zJAMP4mbL5s7qHBVlabeDcgykzDxPWh9QbjdcDsw6EAc5Yt+FPGluuLCmDXMc5F3skGBFinz0LoP2bVBQCofoMc0gCAZno6G5Y26fkz58yUkaNGysS3J4og7dguMmi2yL9/J/LqWwvuWGtFkV/s0yY7byxyw5s3y+A9N5YXX3yhK9ClSD82073KdLNeYT1J08wsS2bGDCShLvqHPgzJDmIhIpI5VHrNsseYdUiZQf7WvqD+BOX4ajyWXW+b59tGM6u/46233iowgY1QWgCwEUbBAQCy0RANWtUJggUN2Qh8xwAQyvjBRuFDVpcWISZgFhJOj/izVcluaDYWFi4tmFbpJ8xsZfjWMQ6cmBkHmCYFF1nmTI0e53rYWl8Q0qCfSGa1NMMFZjLbTCuh2okLAIcBBYQs/Hw3+sd2s7vnlXvksLsPkw9mfyDyuohME5ElRWQ1EflIRHABfHlBrdvbRG77bpsM3+SzMv6zV8n6G2zSJTT+z3+KPPVUuzz9dLs8+WQP2WefOfKNb8wN1eSGeI5K3DD2rtaApEhw2Cq+M74fX7/JuAh1KHawmVPZKfjGBKySZ7CDyqA3mgxT3uTGtYZvnkNmVqGtWKwI5mMvbYTSAoCNMAoOADBJhLmsJih7xOTmNG2atWwCIcqoFx8RqXTw+WNDtXG8DV0PFi42BD54EyDTR6EFsJVBUJ8/TJoKLMygBDYqzCkKhNF5A6hi+oOxrRIgh+5v1+dpVhNkiQiYqbOoKUwDSRCNhZVSAI9/b9LY3PXyPbLPHXuJTBHpHNspMtVoxXIisp2IEDw5SqJrtKzdX+TJny4hD3dcI8++N3I+4GuX119v79YNmIgvvHB2nV0T9N18h+rmAPjDKuBbVGZGx4x10Ewp6Gvez5OZUQknm4MaJIBtMJNvP5R9n0Yy07dqKuZQz9qqYJDfbA9MZdc37fnsRYwZ1rGswvjTLoJf8q6tqi0tAFhVTzu+B9DFph8v/Jsmk3YJuXd8feTToL5uyKnEfafUF9A2F6Xr+5Oup+2wYCwWnM6pE8xW1QXHcgofMXIqbBBsOr4bQ1r9AQ9ZwR74NCkYpE/oD0Ax9xGZxrjVDYCqHBvajbQEUklsjo2Y1USZJsAFmx1RqabmIBsJZt81Lhwo0174UGRUp8i8WJ/upU1E9hIRAtF/uYnInM1EZNPoT5t8QTqxFRulrQ25DXyQOmSTTTpkyy3nype+lPTgKkcszLv4RnDL4HvgOwy9LubJzNgAtqSWFpGZQRSew28z+/MmRTLTJ+w9CgixeJm+g43IDrIf8B1jbcgqzCPcd1ibG2VdbgHAMGtQ8KekAUA2uTFjxsh//dd/FTrlZlWYqCZYriw5lTQ/uOAdMf+BKjjN/8K0wfIAvOpII8SJj4UJHzMYHOj8UMEF2n8q88LmZuPvx8LJogkAYqHhHjVhATB85S/KGs/QzzUDXcoA46Hry/OoMyBQQTzfPGM24T8T5MQ/nCiC9J/J/MUrARN4tIjcdq3Ic/t3+3W1z/1DNt7icxHgGzSIDD0dsiTm40Ws4CvNQZX5DugP/R3GuysuM6NjpuZ93+8sjx1UkKl/kxYSLdjQh84qpwduRByis2TEWPcVDOJby/iq7iB/lz3eNv0B82wTzIJVhvZiBTCVPWzeUdY1LQBYVs8WfG4aAOSxMICojoc+/bEIQU/DoCAVgpkqrTDpOWlXIeJJtCWLPIssjB8mAvwu+JDq8KUg6hhfPNjPMvwPlfljPGzAH2PERggoZ97QJ/wNy8QffAE11RljmmZ2LDhla7sd5gcmFhNaswa6MObMZ8bryIePlAmTJ0jnlRYM3cHtItNHiNx0pIhMiv7cddwk2Wnue9Ixbj2ZO3x49Kdjs826JwSubbTCvRhwgCWiLn1DUwcPEB9KZoYeymIHmeekwmQPKGLqDjcSfk8ikBCfadtAFo28V0CIOwzuFBpZXNe6xrpLHfJyzSNCD2sLceHrU+rX0+l3tQBg6B4N9DzYAU3vFX/kgw8+GLFgIU1cuomqGSXvZKlm0HhC9UDN73qMspEEXJjO/PgBciKkH6oqLPiE/BPsAaCySf3jWjefzB4wfgAgDgRJ2U9YcExTMcAdIMgfFl9fE5Zr28q4nrZzOGA8qkxFWEZb9JnDrx8uj455VOQWi7cgJ9ZXROarxOADOOVckc5L26RtwgIA2bnMMjJ32DCZO2KEzN1uO5Fll7V4eONewrirG4rm9a27tlXJzGhOYxhAgsDKkJmpoi8JhkA6JS1SO68OAECTHcRXUMEg61pV7KBtWj5IE4I3MXE3ik92CwDmzbKafs8CgJz+2OxCZeDg5Mok5kO01UrDDMqCV5YJFiDEOwCAZvSxDgdADEp90KBBlYwQ9cEszjvx44B9CAk+zWAPGmSb05cFEEaS0yfmhbyFRc2O6uDO/6upmL9D+0+VOTiqiUlknU3by6xLyGfve/u+ctcDd0nHlei+5JSDRWS6iNwkQhTw749rkxGDlpLZgydJjwcmSI/77pMe998vbe+/3/Wgzvb2iBFUdrBz/fWZcHlvapjfVd4nK69v3ZUtS2ZG244PGQFeZcnMVNF/7GOsoZhPixbWMSxFCghZnyFIFBBCaOStjb51sM3KgnYjGUDY08qqi2sbWgDQtccquj4LAKIBxYYXIg0Q5l4CK3Bg5Y/txMQEyykcU3HogjkTRouPOC2TBh9RVTmRlR2lXtRHTauhIpDjwR624A+tM0z2MCA+cjxqwtL2mBGqaioOPbahnocjNfOWSOw800uod1b1nOtfvF4OvfdQBx9AkbX/KXLOvm2y00Yisze/Seb233FBdefMkfZJk+aBwdGjpf3FF7s1pWPVVWXWDTdIZ4Vsum9fAvpZGzS63fc5Vd8XQmZGD+rITOlaXZbMTBX9U6YfIyyp5itmznCwNdnBkCYXPiikAAAgAElEQVRYW1Hu8ePHywknnBARG7b7bNnj0AKAZfew5/P5sAEcSSWEBp8ybIAIn/RpZZlgASGwkXnBFVXlRMZ/jvpgYlR2lD7DB3DTTYm6LFZ8/P24h0VEtRltfWjyasompWCQRRPzksqVcJpuBFOxygAhvsrho65MNHl9WeR32yjgtr1E+q4pclfPNtl2rU6Z0bGEvPjZ46Sj/8ioX9jwkiQ02t54IwKCERh86CEcSGXG66+LLL10kWqXfq9qO+J328ygX9kqF5kZ9YPOAr5ViVCHGGi+Y1yZBg8e7J2a0bYe9DfrmQZccaCPs4O2z0q6Dk1GLHJ5Lll33XWXnH322ZGvdqOUFgBslJGI1SMLACKCjAnAV3CYD4BJmJRr2LY7iMJ99913g5pgMa9iziS/Lz5/WackriXitUxFda0PvoemiRHWFBP05ptvbttdidf5gD/8Qp9//nnB/4WoxzxfTd8KarSjAkIVMwYQpgEL33fZ3qeai/gz0nZA+aJarn/qXjn0/j1FXu4UGReLBl5OpG2+DuDZ7SLHbrWzdK68q8zp/zX5cPqsCMTTRzD0bEqm5uBC/TVjhrQ/+6x0FJzLZY8D3xx+x4uatBHflWaRYcwAKgR2qDQQ46euDqyJLmt+I7ODgDKkbLbccstK3U60vxUMAqw56Co7SH+7soO2mow33HCDXH311QJgbJTSAoCNMhIOABATCP56Pkm0kxgtny5gQQYEbkZ0YcHCR0mEFH9Y4PHtySsslvjkbb311nmXOv+uLBO5RJPqA/tIXTm9+hafYA9AH2OPOQP2qyqBVPoDx2UTWMA6KrAoC4SafQsg5XCgh5asDCi+Y9JI9733nsgaw+8X2fNrIj06Rd4QkQ9FZKl52n/LzBS5+jaRNd8XWenZN6TX0gsHdZii4Wx4cWDRCIyuTZ///e9/j6L+Af2hhdZt3l/lNebBizWO/2etwMWDQ2hZMjMuItQh+gPrFsCJ9buqYI2ketO/pu8g5AhrmwJCmyhrW1P2FVdcIaNHj45k3BqltABgo4yEAwCEAWJiuqqJYzIkEsnV3y+pi2D/WJSLgCCey0mQ9vAR4l9ny+roqXibbbYJOoKaco3Fl/okRajBDGKC5fTqWnyDPQBggL8q8trmtQlgYZqKNe8tgJD+Cu3fohqQAN8yNBfz2lvH7xEAXP8jkROXX/D6DpH1+oictIzITkttLtMPnyir/Edk9i47y+zrb8gM5DD16xg75jmbnOrXNWLwD98Ka0xeXt86xqeKd7Je4+fKN883UJXMjEpPlXlA4CAHE7btttsGXy98x0bZQQ0kYU9inzXZwXifqCkbS1QeOD///PMjxYLbbrvNt4rB72sBwOBdGuaBTCxOI0nFTEVm8zb1GYOxgzkKETzCJoIcylZbbWVThcRrABJ8EFDunO7zPiDzIQAiTOFDhw71fn/8RhYl6sPmCPhLY5l82UcVd+b5FNtgDxhHxhzAjwkoNMAq0oGc5M28t9RNmUHN1lLk+ZrPmGc1itxHkfbY3hsBwO0eEdl/RLdbrlxe5OClRP610VUy8n8PkkeuEuk9V2TWaafJ3OOPt3q8GfzDXDZ1IgGEjZBtgTpi8qV+BFs1inCuVQcHuIgANwK8TD/XMmVmTHcU/luLSsyEBoOYvfFlBwA2auHQBNGggJD/V3YQJhpwyL8Rzcw+mGeROfPMM6PDzLXXXtswTW4BwIYZiu4VyQKAsE9svDie5hUVCAZsEXIfSjy6KAPH/YAtwCjizq4LDMEiCIluh6ZZgKIRdviAEOyR5QeCOQ1zpAv7aC6wgCSb9qppHH9DTNFZwtwBuqDwIzSNk7KDsBZqKqburmZbNn/YYQS3P235jF9/fYZ84fBLRYac0m1cfreCyDdXXF3e3vJhWfXiAXLokyKX3y0yt01k9h13SofHgcjUiWRus5EpM8hG5+oTVXQihczrW7QuddyvuayzTN76rfGNqL8n7LuOWxEQXyRFnW1/sX6TC5iMVs1QWIvxqVUwCAGB5YM+xx3KxpR98sknR/v2pZde2jBNbgHAhhkKewBoK8Gi7AmLASfJkL4WRRg4FjjYQyQ8CPjwKZwgOXkhrFmUEcOcDaCzNY3TdhavIUOGWFXdJ9gD0zisH2aIZk36zoKpYJA+Yx6qczum/qxxU4kbDgc2PqFWA9EkF/HdPvjgC7LPHReKrHvHQgBwn6/+VF753Ndl/d+sH+UJvuJOkUMmi3T26ycznn9eiuR804hJFQ6HdQIEKqvrCuJdu1x9PdkoObA2omnatU0u1xPdjsKCq9B/CJmZpHqavsoaZazXFWEHOXATiFjEguTSr6GvVZcK9g7WOA5JfCeapi7pOzn22GMjc/I555wTujrez2sBQO+uK/9GTuZJxUaCBbMh7AmBIuT0LQqS4vXgBIce4fbbb2/dERrFiW8LoKaIkDV9g4wA77dh05IqaQafwPqtuOKKVm1hg8Z8MWzYsNzrfcAfbVOpAHzeXEzjuRWq6QI2dDMbCWOm2UhMlon+IvgGAMgcCSVxU1OznV8LAzcvz/Yass2d24ss+Va3Z1y1Yk8ZPOIR2fS64TLtk2nRb0etf4hccPGrMueoo2Tujob+n/Pbu9+grIcG/7iCeNfXq94mm+mnxddT+8j0d8TkXUQc2UdmxmasFAAqKFR/Zu5Vq4atdYODLQfcoj7kNvUu8xoNqsRlSNlBwC3sIPsbDCGHXdbwQw89NHJjOfXUU8usktOzWwDQqbuqvZgF0fTH0Ldn6dBxPfIomA0BNcjFlFEwKRPGb8vAmWLKnG6LRo4CKBDWxAcwz/ciqf0skgTEYIp2CT7hWTbgVxdHXTRt/f14NqZxTNGa97iM8avzmfQJ/W7qoKmjtZqzmCOfNr8vFbcmP+q/Z7fLZjevudAwnfX5DeQnf39ZZs6d2fXbtO9Nkx5t7aVn81AfNMaNzQ4QrybHov6emteXMU9KZ1jnfC373eqjDZvEWhTKTYd6J8nMKDjhAFZE37OIzAzzh32qqJRW2WOT93yALIE6phwZexMHOdpIxC/af6hlYIEjfd8ZZ5yR99jKfm8BwMq62v1FaQAQBg1phPjHw8TDlInpLfRCEq89dXvggQciFizPtBxKesasA4vP2LFjIydiV4ZMo0oBZQAN1/vzwK9vsAcbK6AUs7hLVhb3mdU4dyjLBPjh0AIwh/3AN5QNqogvU+O0Mr8mtB3mk0PbZ5fsJSfdcZBc/vexIsQLge3YzEWkV1ubzO7slDZpk87oX0T+c/x/pB0AWGEx/T0B7bhk+EoDNWJe36q6UoNdAAswf0UPxnn1jsvMaCpIBfKua6G+zxShTjIVx2VmWOswdwOImrnkAVn6F1/1u+++WxCCJrgHd6wdd9wx+qPAsK4+aAHAunre4r1pAJCPhwgxU4bEzKBRhUYcE3vcuHGRH1yWn47614U2RbNwcrrC+dZl0cSMRWYPGAuYBh/zcZb5WU2+ytzaPJ9r8YsEAMD62ZqiLaZQU1wCeID1BOyR5UFFWllcYXfV/wxTsU1/NkWj51dSGXscyTmMPD7lfPn2w+fIB4C710UEKy9617jKzgeDvdp7yf/t8n+y1+171QYA432sYsasTbC7fJPq74kZLG3cNPhqUcvnbDMHVXKKPgD8le1fGa+TRoNrIIkpM8M3l+enm9XGNHZQTcRIaTHnQ6XTtOnvMq5hvuOSZZMVCrKEXMCwrvfdd1+kCQggP+200+SYY44po3q5z2wBwNwuqu+CNADIBol/n0ZQKcgiUtLMWFFmzfMAmPq0aMquMkzRANCvfvWr1iYT1UGkj4pElar5Oc5+muDP1uTLQgmYZ0HE5y1Jd7DMcaz72ZhQ0Dck0APwZ/qqakCCBpKwWALcFRA2e4CAAgAOJYC/R148V77x0C9Epoh0JmT/EALe1xG5cLODZedNfywDLh7QMADQnEeMk0oDAS5opzJM/K0uG+rv2Gx5fUN8M/QJ1hqsCYCgRpjLcRM/36Jp4vdxtaGvkthBmDDGH19PPRw04+EOywVAFotbXsHfEbD39a9/PbqU9Y1gQsaetb+O0gKAdfS65TsBGqoZZ96iUaiYP2GNOIG4BDFYvj73sjQApunKOFHyYRRxaM6qBD6AgwYNygVNGlhAP7HgFNVBTGI/fcCfmuxZeFkAbFTncweliS7g4IL/DIA8Lxpc2QoFgzDeKnsBIMR3LHSgU5ldyTdCsIdGu3bKDBn4q1Xkwz93Sueo+fbeeAWwA+8lsvS6bTLx28/IuldsGF0x/fjpDdt2xo11QP09ddyY64w/SgDNnNfXZ46wfujYsz76Aiufd9veU6bMDIddCAzGHoCp1hLXQBLbtpR5HUCWQw77Slahjazxl112WTDpshDtagHAEL1Y0jPSACA+MxMmTIg+Hv4b9qAskJXVNHwAOb2arJWa81jUmPBlnmxJwcOHlxUpWgYYVfYTHUB8ZkyfP1XRz5sS9BPMFxsh4D3PjzLvec30O/2FzxtyRpjhfQC5yl4ALGASGAeNKi7i2F5FP6rgON+IRrve+MjRcsgTvxW5MJb3N16h5UTkaJGLN9lXjnrq+oYHgPHqM24cWmHj2fAxe5qag83IArnMGdYj3B0orNvN8t0nycz4aEXyvcJ8omGLq0tZMjMuY1LkWtYxCBnW8DwASC7n22+/PbJaNUppAcBGGYmEeqQBQDa8P/7xj9HCyQZS1wmSKGAmvubnxOyj5jwiGctezNEBxGeOfkgqZqaR0Jpi+B/ig8kG5prZQ0W0k8yeDTwdg1SNvkLIHPYnlMkbRsXMRqJpztRUXNf3kdRhHNjMKG/9Rva/ak254+l/SMdv87u5/RCRnb68gtw59d3o4o9O+Cj/pga5guA18mizbnFwVH9PWBTWO1Nz0DcgoUGaulA1aB/+xwr8qxbYDtUvplYk48aBhkO4AsI0n2xl/jj0JbkE6TrK89Vs3OjsIC5O7DPsQ3kAkHzOBITkgcVQ42TznBYAtOmlmq7htMjHYBY+Ik5Q/OYrgRKqObCQSuNzEmJjB/iRrqyKQi5JTlVJDBK+ZSy2vplG8uqP+RvHX5UqsQW7+IuQ4urTavpSvycAeRkmb9PkCNsA4IIRVHbQJWAobw64/g5TAPhLCngYcelK8sjED0VusXjqHiJbr9FTXp0zR95aqjkAoKlzx9jHfV35HfOwakViNsaqoYEk/HczmfjjowhIYj1i/gEAbNcLi9lQ6yVpMjMKBpWN58CHwgFtt2X8m4EdhM1mj2Y9zypcw+GG61F4aJTSAoCNMhIJ9TABoBlUwQkKHxJMkFVHjpnV5DSz+uqrR6d4gCkLe5XCvbyfYI54pghAFr5lgEPqF3rjYCwwf/NeNnMb3S71Q0TDEfZDWdMGnn5Bq6ZmT0xeVbLWnM4VVDBP2YCVGWRzCj030joNMIrfU5q/oxMDeLDI16aL3HqTyPQlFpPFNxgkcw44QObuvbdIz55Bxy3Ew0ypE3zebPQd8YvV6FTVHDRzTDcTe4b5FGd/omoxfS4q4C9pbiTJzDDeSIHBksGC+ZSQItQ+70+7hwA+5iLfdVah/ewV7JONlNKzBQBDzobAz1IAqOmRmEQaVIEGHuKTNotp4Gp1PQ4AhlmDTb0sRier7pjB+aj4Q1FBVSRVABllfGga7EH0F38AFYBw0/8sDipUdJrx+zQKHKu4NYcDn7zPoeavRqdqQALPVYapqJBxVh1xFCf1ofo9JV3r6gN4zbiesv9jcyJ9QC2d7e3SOXCgzN11V5l91FEiyy8fquu8n6N5fZkDrF0+B1aeAaOvAUBqclRAWAaT7N3g2I34+gL+mF9kgajqwBGq/kWew1qJiRSTP2PEYcwlHWTWu4uIUBdpU/xespnQNiLZswp7BSoHzIdGmq8tABhyNgR+FsBBzUb4wwBqNKgiKQAj8OszH4eJZuLEidEHjZhlHSfyJ598MjInEEGqIFk3GhtWzrW/TJOEBnuo/xknOxgLioJBFn0AMn6RgGT0GcsMinFtTxXXq9RHo4lbsznxbSmoYGGGlVVAGGKR1g0Qv7c81nfmrA+cooBfPeZN6fPXd6TXhRdKj7Fjpe3tt7uDwXnoVuZus43M+c53pGPTTasY7m7v0Ehn/g7pg4tZX1ldgCGHYFNzsFFAFmsR4I9gh7jEUeWDUcMLscRw8GHdY3yqlJnR5uo6bZuizrWbYPVxZ8hTMQAEo1jB4aWRGOAWAHQd8Qqv59TAAoJPHeZMc+LEAzAqrFYUwYc/B5sklH5dPg34U8EqAQLxr4mD5FB9Ykb58sw0jT8zOwKAENMP1+K/hO9LCFARqk1VPEf9HWE+fE0/VdSTdwAAFQwqqFAg7yOIy5xh8+OZtlH6oyedLns8eHaqDmDbfB3AW7b9vgzf9Mfdu2baNOl5+eXS45ZbpP1Pf5I2w3e4s0cPmfHBByLt1WULYbPn+1STf1nRrhywTM3Bebi3X/SHA1hdAUAqcM3a/WnJ6mNOSAV/HHyScr5nycwUlXVSdrCKQBJcsZhraoVKW6/wfR45cmQkkt4oB5RoL+vUMJuqVtrWe6x7gFMuZsOkzVMDMMowc6ZVULMWEPDBqQ6Aik9Vnv+DdYMdL+Tjg3nEwRh/vDIij019P6pne3rTvK4AVBgQNgSABOMFYK3TdO/Yzc6X02eceHWeJG0Azg+t8AZAhfqf8bfmvGXsaEse2w0rDDMAqHR1jbjvj6d1ZQJpf0Ok40OR9qVEOlYVWVra5MptTlwY/MX7pqND2u+5R3pecYX0mDhROlZbTWZNmlRZD5p5fasMeDBZXc0pjZ+nsoOsVVVsvhwgAL+fRoFrJhl+zgQEEuVv6+scl3XCUuIjM7Pwp9ARuQaZkcUmO1hUhBrigb0n7ocer8fjjz8uBx98cNQ3VcxB24+9BQBte6qG6zjBsBklFcyvBDjkTbxQ1VZzjplnmEALTvZ5EVCh6hB/zhNPPBH5BsEw5VHwPnVQ5o/Fw1bfj3sQnMb3xdS4g/pXhsnGb9Cnvo1wD3MWvxhOuoCfMkzxVbYzyf/MlCqJ+7TxvbL5s8izAfowUJiD7/jjj+WuV+6VqTM/luX69JWd19xRdv3K6dKn99LuzZ8zp7LgEM3r2wg+b2YAEPNRtSIBFhzMbA9zLh3Ot43LBxabqtQQXOpX9rUK/ooEBPrKzNi0LTQ7OGnSpCgQMY+IQTXipJNOiqwCLQBoM1KtayItpDQAyMQD/FWhoq+LOpuduakxmaljngZS6KEEZBF9BcPEh8diE7qYp0Zb8Kfgh02AfoLxSyp5foN5DFPotoZ6HnMVVlZ9vhY1HTfmhOl/hg8hAFdNxRyG2PxV6qNZx9F3PjRyXt+4ViT/HzqtoEZ6Y4lodJcH3zHOuk/zmbMew7yGKLYyMz7vCiEzAxED2M+zctxxxx1y3nnndYmA+9S3jHtaDGAZvRromVkAUP3fOH2UWTClsKnj44Ajs3lq/stf/hI5tcJ0VVUUZHC611N8aACaFOyR1z58nugn7gX82YIfFjiNcMRvkP5UhglgYfucvPqV/buKbn+aMpuoVIlGFTP2mPbZEBjDTxMAbKa8vnxzuNbouPHfHNbUVAyod2VpVOcuTeS47O+v7udrZp+Q4C+pTfE80wrk1Vzsu176ysygRUt0fx7gve6664Q/jz76aN1D1e39LQDYUMPRvTIsVGwySQWnUjabgQMHltIC3k30IiAPgJXk5IqfF6f+qhJZKxMJyMC5GFMrviOhlNVpszJ/dGpasEe8w4n2g/kh2IMNwHfjV4ZJTcWm32BRx+hSJsn8h8KE0X7U/XEHcN08y6xbFc9Wsx++nYx9PKsFY7coR39zcCEojLHPc4avYjxc38Ghy9QchMlViRkbIK8BD6xDeaZA17o1w/Wa3QWZn7jAd5n1VyCvY8d6GVJmxiQCzFAJSBD9QzYqmyCvyy+/XDADjx49uswucX52CwA6d1l1N2QBQPzv8C+ClQtdOFXxfKLrsk50fPhcw4dfdtE0c2wwCjIAoJze8xJx29QtHuxhC/6oF2Acfx/AeEjw0wx+g2r2ou34YYZsv8241X2NBvtg9jP1KDkUKJBXhklNxRzcFpV+UvDjm9O57vGLv59NH39BZQdNRh6WKe7zidmTQ7JLwEOjtblIfdTfmZzwaS4vRZ7vcm8VMjNKEigghAEkIxRuH1k+pb/85S+jfeKWW2xS/bi0uti1LQBYrP9KvTsLAOIDB1ALbf6EUTOTlWcJt+LwiyQMH0CZBfMC7SXYw/R5ZPHRYIMi7/cJ9uB9LP5EuzEGZQfjqA+Tggreb+oN+rKORfqNcSG1ESaQpNyeRZ7dDPdq+/OYHwXyMBUcGDBTqbmxrGCEKvrPzOtrG+1ZRb1CvSPN51PHDuaXNahss2eo9oR+DoFuzAEIgLrBXxKQxzKh7CDWI9hJHbsihzANJGHsEXlH30/XX5MdNOt0xhlnRKoZV199dehhKPS8FgAs1H3l3pwFANl48bsKZf6kJSpfgEMrm3oeqAD8sQBsvvnmpXQEHxqBJryHRSaeZg4Ahu8NH6Bv8Q32APjxQXPyz/P/8K1b2n11+w3yftrPuNTR/tD96fo8lUOC/UrKa5v1PIA8wEEZpngwgk/UsGv9i15P+1l/2PwacfMv2r60+1UeSA9hrE8ACgI+yswkU1Z7ijz31VdfjQ7AMH+4vjR6CS0zY4JfwGSazIxakk4++eTIP/ySSy5pqK5qAcCGGo6FKwN7kFSYgJxwQvnfsZgj3+GSPxffH8wfpKQLXTSogvazyUCxxwt1hoUkE4lP8Qn20IwjLCiuGm8+dcy7p2q/QU1rh4mT9ieNS16dm/l35gzuEXx7RdP6mcEIgAr6FJbCNBU3Wl9R55deeqnL9WNR1rNM6nvz8IP7DcwSY4fmIwdU9R1cVL8L2g/4Y93l4N2MMk9ZMjOMX55gP8wff5LAb5rMDBqAHBQuvfTShvqkWwCwoYZj4coAhEwHVL0iBPvFs1RShQ8aMMmJ1rZgzmIz3HrrrW1vsbqOjRCBTRYXBKfTsgjAwAGEv/rVr1o9Vy/yDfbQSFfM4jCvjcjWlOk3qNkdMHOYaQmdOr+JL1YtTJggwJ9vxGFaF3CoMLUi2YgUDAIMy9CtcxkONjcErlUL1Cevr8v7Gu1aE/yy+ZsgDwCo5kYYXh071lMsBHWPXYi+VPDHwZv2NyP4i/cDbTLHDpcixlWjiuNjp9HONj6PGlnMNzNs2DDZZZdd5MYbbwwxFMGe0QKAwbqynAelAUDMT4BAX/aL2pqSKrBsrqd5PhaiP7fddttgjWcDRE6FoIq8/JkwkJgit9xyS+v3+wZ7YB6nrZrXsxkW9JB+g2z6+Ibi62PjHmA9IE1yIcCa9gP6Ab9lpTbT7gBsqqmYb4J5q/5LdaQ4Kyuvb5MMf2S+47BLpCmbfxb4NccOUMi9qjnI380YEa5mf/YdmD/XvaJZxjlLZoa9GObPJdoZtnzHHXeUww8/XE477bSGC/5qAcAGn5lpABDwgx/O4MGDvVqgLBsfsu+GRnQj2Tg43RQtLDAqOwPAsBFSdWUgTX8/l+Tg+LphHgeQNqu6v+k3CKCAbbLVG1SgX0akc9F5U8X9Cn5hAwj4qRr8M3aYnJUdNM2NNiaron1UVV7fovUs635lPul3Nn8X5pexAzQCBE0zf4hghLLam8SScdDG3xrwu6iCv6R2s8cxdgBfLECwg5AAjF9ejnDco4YPHy7f+ta35Oc//3nl64bN/GgBQJteqvEaWDoWoHhxBT/m/cqyIduBz5+vJAUbIzmJd9hhh0I9pBk0ALUssLZBFQAT2MJtttkm9/0+wR5q8oBpxeTrYh7PrVCNF7j4DSr4RXqniqwzNXZL4qsBXjB/SLyQ89r3WwnZLjVZ8R2ryco0FYesY115fUP2V5FnwaKzxrAOszYVdfvQYASNCIcNVL9BfAjzAu+KtMXnXnURYq7Fzd4+z2vGezB5o0LBHqCBQOy/fGdqKo6z8kiUjRgxQvbYY48oA0jVh0bbfm4BQNuequm6NACoEbsu5lc+ZnzmcOJFt6uodAmL2UMPPSTbb7+99wRXdoGF1jWogpM1KfGGDh2aOTo+4E+1EFXoelHwd0nrpLjfoOZMpQ/ws8QPc1EBvy6fsWocAvzKyDXtUpe0a1kf2Iw0qphNScEgDG8RU3Uj5fUN0Veuz8AcaEpiFenLpHdrMIKOHWshQELZQRem0bVtNtezbqLCAFjF7JsXHGHzzGa7RnUu47mNIS1MmRksYaNGjYr2InzSv/e978nOO+8sF154offeWEVftQBgFb1c4B1pABAT7h/+8AfZbrvtrJ6u0ZuqmxdCsZ26jR8/Ppr0Pidj6HWCPaDSOV25LrB5feAb7AEgwt/v0xjswDxhwcd8gclDsyKQ5YLNqdEYCqvJ73ERp342v2ZK7aWbkpqKOaBpZCqg0CVoo5Hz+noMp/MtrG2sTerzWfa8Z61iPVNTsWa1UHYwz9zo3MCcGzTgBT9UmL9PI/jD+oEPn43IN1YiACCZPp566qnIz3O//faTkSNHypAhQxrWbN4CgKG/nMDPSwOAbM4PP/xwZH7NM/moGQdAEzJ6kQ1n7NixkQnWZXOhizD3ooy++uqre5vWMIWRiiepD1jAVOaF99lm9gCUcuqHPanD3yvw9HF+nDr7w0aw8JmRqS5+g84vbpAblCXHHxXf2GYWOFaJEgAhbAUstg2gaKa8vmVMGw6AgD9AD+x3HeY7zTOtpmLqoMxgUWY3r8/4BvB5hiz4tII/LB/0AWsAB1+bwj34/BGYuc8++0Rg8J577on0MrHUHXPMMZFZuJFKCwA20mgk1IUNGVYmXlggHnjggYgBzDqd8hEDaGBwygA0Y8aMiaJwbR2DWVyIpCKApagZmoX6wQcfXMgEHY/0tV3ANafpGmusIQMGDMgF1g0+dZyrp1lgMLYmZmMAACAASURBVD0lye8AKOgjAEWz5Cl26QRlPdh0bfJ7ujy77mvjabJYM0xAoWtIs+f1LdrPfAMwOBrt/v/tnW3QF9V9/nc60+mb2HbaNxqNiJZYrc1ThSKKoPIgAmkQjSYSn2IlxOCMomOsURONpkbHqImaGK2aKAZNg6A8KAKKgCCYqjEiiKho1c50mvZNp+/6n8+x1/3f/Pw9nN09u3v2t9+duedW7n04e52z51zn+3B9feeOos/tdz0bWUJ+5Cpm8w8JVP+FtM6J/PG8QdnOZb5znfcm2YXa1pA/39AXvhuyfdk0/+xnPxvxZoEnCTQrV650lawgiDEdRgBj6o0MBFDWN3YWvWJF0PbDhE32all1Wp966im34/FRg0/XGM6SSt+riyDHPD/tgs4T76cMZAJ321rWTJZPJjzq2g5a+CDfECUmPixGjEE2GViYSOIZZJWO7bNjbKLXhVU5ayxqbO8yqD3d6t2qkgWLH+EY9GXbDvoe8gcWLNaxjmE2YtIcTCcB8e0W0YtkHpTIeVvJH/MZ8wAbYOYyn4MYXFy9rLMPPfRQrnAon+eUcY4RwDJQDXjPXhZAPlbcrxMnTvxINYZ0CTV2JL4m7DzNxgLnUwtTOmq0m/Ozuoy7ta3TBZ2H/AkrdtdgFSI2Mg+OdV7DYoI7Pq/ls5veIItRU+IGCbPASs6CzxjIE89aZ/8VebYywrFSsJBxYP1SIglu41iJUJH37rxWsljUtB6kPxryuUXvxdhNlxbkfmnNQd+xLJ1DNoKQv7oTUIrikud61gDmwSwbIAg4yR5IZD3yyCON03g0AphnpFR4DYsrJLDb0c36hquHBAZ+9yqhFrL5xOBhNetHMhVQTkA6bt+QAdVyQeMGUcwf1iufRUtC2ODLwh+ClIbEtop7YSVG4oA+RN+q6FFEb7Dos/Ncr+ou6Hsx8Yccm3naU/U1EvhVXV++ASWRQAglUwIh5PsdZBmuuv0hngfpwfKHzNEhhxziNXeEeG7oe0gvUokkWAqxxstVzBjvNi8yb+Ly5HzIXxOFqotiqU1wFg8QcbVU9+DbWLp0aSNJsxHAoiOn5Ov7EUAkWIhTYGLmKJpVm+dVNm3a5LQEe7mMCIzFpH7wwQe7Hx9ilqUda9asScaNGzdiBfVN9mCygygTuwgpzZqBnKWNMZ6bXvjTYyh0W2OOG5Tbmwkct3fosRkay9D3U8wjRK9bJaC0TAmkkI2SrEuQimEgCpLTIuYXC/gwHWxu0uXpJO9E34nMp0Wu20r+GP9oPRIj77sJZu6YM2eOWz+WL1/e2CxpI4CRf/H9COCzzz7rYlX4oIndkRuvyl3sli1bXCZvp6YgiwsxdfwQT4FrJfTBM0iEYeLm+b4LkrIc2fHHIu4bGpt+90trHOKO903gKdrGbnGDkC82D0Vil/K0S2OAscv4aRv5y1rXl2+NRU/WQVym9JmyihlDTcOQMcAmkA1sUyv8+I59vvm0qxgyTyIJSS+MBXT+fOdP32c24TyNAdZRX11cNrVz58511nCyfKuaP8vA0whgGagGvCcfJ67KbsfmzZvd4sWAROAZF5bvDiZUExFi5sNJV4lQQD27aywLxBSFPhTvR0YxYp2SKFEiQq/JTC5PLD5Ud2jbQWgAu13ww+1d16TfK24QQqGEhLL6Bqs0we5tHQMh6vqqogWEUElAihvE7Ri7q1gi34wBn7KTZY3FOu7Lt09YDm5fEUDIvFzFbYn7lEJGljGAVfXUU091IVarVq3ySn6so499n2kE0Bepms7rRwBRH2chVZkin0zc0K9B7AwTB5YUjrI0B9PtZgJTXKRcvp2uRiY0kUFiX7gGcWPIIhbJJuu75e1DshxJdmCCDx2LmbdNXKfYJUnMlKk3iL4flXDYLPlm+RV5t9iuLaOub5rM43JkzlKJLH77JiJUhZVkPkLFvVbV7lDP6SxvR3/JVYw7lHCYbhJBoZ4fw30wTqD1SMKPb4lL5iX0/Yj9I/Z8GBIGjQDGMBr7tKEXAWQxJ/6OuI7x48fXZsnBhYKFj/g+Pgw+KiYPJtfQVgBV9hiU7JEWL8Y6AQHkGq7vFusU+RAI0jwmPPoKa0eR+s9BGjPgJhIwhhCG0htMbwBwew/D5J21L6qo6yvrklzFSkSQdZBvsc5Dpb3augEQ+WMDzXfQSc67SQSlNQeHIVFO6xThP76ufzZO8+bNS6gOQvKl4u7rHMshnm0EMASKJd6DCZXBlz4gNVhy+HhxYxLzV9dBggeTAlYlXAp8VGWIKINDnsoekneQyxjM0np1oUlqXf3Q77lYPHB5NjHWSXGDEAqsEwpkzxI3KIkLJv4qYx5jGgt11fXFZSYBY23GRAYh4VXGDVKuCy9AluoOMfVh0bZA/tgE8j3wHQxKfJNEkLKK+X6Id1PcZ9X9V/T9uV7kjzXTt743Hrazzz7bxbNT+tRXHDpEe8u+hxHAshEueP9OArh3714n20HcAoOZBZGFva4DYoGVhgWGibUMt5rIG785fEkb+DDhKcuTayERsk5wvybp1WXt47TA9TBYPPLEDSrejUk8ZBnErH1R5/mSYapb5oS+0PcHqeCQq7HsuE9ihYmT9tEsrbOvyno23w5GA+mwDiJ/3drBNyRXMb8h71X1Xwhc+A4IWcJbpZClQfdlzJ533nluA43m7bAJpBsBHDQCav67CCC7Nqp6YM1hEsMEzf9zkMFUx8HHQSIKVhrc0GXEIMryxwTmq+8HFqrlqJ1ep6UhHXeGq5F3YBHiAx8GiQvGCxsF3o3xUkYiTh1jTs/0iRuU+DiJLt1K29XZ/qqerWznLIteFW2TXqSsS4S0lFHeTGoEWP/KSkirAq8iz2CeltA5c0EIrUvmFzbY6f5jTUprDhZpc+hrpfWId4ofn4M1Z8GCBcn27dsd+fPNEva5dyznGAGMpSf6tIOdC5YsBmS6TBXuDBY5AvqrPnDtEO/HrhBXAO0Kfcjyx2TjS/64hp0+O35fq5dcHUpCYLIgk1Gu4pC1NkNj1O1+TPi45umjYS9rpvfvjBvEVUXMG/0I+Qux6FXRdyGfobq+WbIcQz4/y70ggLLME68qVyPWezYveVzFivskbguNO8JU2naI/DF/kvVf1nfQ6epnzhQZrDsrnDAgSJwkn3zGAGvOwoULE6TWIH++sYI+947pHCOAMfVGl7YQ/8cA5CPqrFRATAJkBddrlYfS5yFIBHUrtipkGxTvl4X8QZBfffVVVzidyS6vRVJJJCygvCsLh/TqYpdIoO1sFoh1hPjEloEZcoz0updU/bH8sUFS3KDqFPuGEFTR1rKeQWUPLMBsDpvmtpKrUXGf9JfizrDS+5AYyN9rr73mLFSQv7qTT8rq5373VYlD3L2sET64hWgnpDOtOcgcTr8pM7xK6Sk2hpA/hT/4vB/tXbRokSu1ytrrazH0uXds5xgBjK1HurSHyZwPqHMXjKSFJriqXoO2QLJInyeIFtcKEzWTbIhDmb6QOQ7fyh4qgcc1THahallqMYIMgnU6CQFSnscyEQKnbvdgMwD5w5VGWEAbiE4nDtJ3IxmJ8ZknbrCs/qnqvop34ztoutwRizEbOlkHIfS8kwhht6xUrmGOYmOK27dpFvwQ44R5Cw8NG8AqyV9n25UVLlcx1jjVmoYQlrmhFvlToqTPXM3Yufzyy5Nly5Y58ldngmWIcTDoHkYAByEUwd8hN0qASDcHMsYPpdDKPng+BeMhfFjXlAkVsg15kz2YVIhxwRWN/ExZO12p6ctVDOayDLIolfVcn74luJ5KMG2tbAFGjEWsPli9ulWeUdwgZII+LFNv0KfPQp/D++3evdvhMIzxbgrVUFYxBA8rv1yN/DfnEP6ASxkMQm0EQ/dVmfeD/JHswLtD/mLaCEpAHEKoWtPqP2IIQ82h9D+WP+L2fKs9Qf6uvvrq5KGHHkoos4qRY9gPI4AN6OFeBJBEB+LdjjrqqFLfQpmU7KiYVNOxNKHakDfZg4mECR9rTxm1hnsBqyB2kUH6KJ1EUqXrVcQHq1/bqhrQP4r7xCKexerVGTcIgVDcZ9NKm4EBSWG96vqWOkHUdHO+OVmWJGBMUyA8lDYbBs26rNCCCZY/3p0QkJjIX+e7qNa0+lBzqFzFefuPeETIH98yJM7H8sf3c9111yX33HOPs/xRF7gNhxHABvQyOzp2J50HO2EsHhMnTiztLdhJMaGwm8Ty10lsaAOxRsccc0zuNuRN9pCuV92K/rQfK6TIIP/NblZkIu9ENghQnktVC3DIQnwG3bdJf+e7UKwXCS954z5ZfORmTOsNNiFukIUUDU5t0MoabzGPC/oPqxe/WfDZtCrujD6sMu6sLpyEAfGOxIvHTP46Mepm3VXsNYTQNxFI5I8+P/TQQ73J34033pjcfvvtrrY82LXlMALYgJ7uRQBJUKCu6+TJk0t5CwlOY1XiY+o2oXAOFrhJkyblakOeZI+0xAnEh1i8mA5lxEEIiV8qw7IkcWPuD/FpY4ajak7L3ReK+DQpblDWedpcZ23nOr8/JTvgPgQD5ik2YSL0xMYq7gxi0DTrrg+2xEZCgFXmsUnkr9v7QWalGclv3iddnq6bjiHuZSx/EH8y330tf7feemty0003uQofeLjadBgBbEBv9yKAyMNs27YtOeGEE4K/BVYlLCt8SP1S4InDYeI5/vjjM7Uhb7IHWBDrxgTBZB97gLfcVJBBJjJIiuIG8yrpgwHEX4t+G+OclPTDJN/NMp1pMPY5Oea4wTLq+obCrar7yOrFPNCpkqA2QI4UNyjrbjrurOlkSeSPjWYZJTir6stez1EikFzFbLClGUk/YvGE/LEO4XkhFMaX/N1xxx3J9ddf72r7VhFLXzeWnc83Ahhbj3RpD7t8ZcWm/4zlA52i6dOnB3sLWdeomcnCym6q38HuesuWLcnUqVO929CZ7OGb6cv7kuWqyT6Pmr13I0s4UZYlZRTz3ukkEp+FiMmPhBe5eUIFTZfwuqXdUhhgySHho0oMFDcIoVASQh1xg1rwWPTBwGfslNYhNd1YtY2zWL2UyCXroCRKlFVcZexuCNg0DpQA50N8Qjy3znvwDaoiCV4w1gM2AmDgm/HMGnT33XcnV111VbJy5crk6KOPrvOVanu2EcDaoPd/cC8CyM6PgNVp06YFWQBkWWJSwRTuo50FKduwYYMjoT6TT554P5CSu5usLt/AXn+Eqz9Tu1rFDYK9rBL87rYQqbQdGa6+8S3Vv1m5T2TDQUwqpMvXzVNWi+qKG6yrrm9ZOOa5L5sAWXwI2PeZezqf002iBBKhWsVsMGI+RP4IgcmLQczv59M2ZfuyAWKdpE+VRNJrHuWcn/3sZ8lll12WPPbYY7nDl3zaF/s5RgBj76EkcQO7mwWQfyduAfdr0SBnLSqQPnZRvtY1kVAsgIMsMXnJH9ZIMhwhPQh6DtsBLhAbyZPQF9I6YzHCbayqDuhS+daxHDacVNYsRqmbquIG2QRgAa67rm+dY4vvA/LHJiDkRkgC8HyHjDUsSyKDEMOYrKwiwNL8zEOA6+zDEM+W+x+irsSNdHk6xgn9JgshHi1wWrx4cXLxxRcnjz76aCnhUyHerap7GAGsCukCz+lFACEOxC6QgFEkFg5zOjFlCGZmnVB9SWieZA/pmr377rtO0mCQO7oAxFFdqrJYkD4mNGL8INoS346qsRU1BrkhCrI3QeqmrLhBSAkhEG3eBKima9kEOF3NAkLIIcsS81CdrmJlutIO33i3ij7Tyh4jrUMMFr1CIEToWSMvvfRSt35g3EDjb8mSJcnnP//5ytob64OMAMbaM6l2YV1gQup2rFmzxukA5s0C3bt3r5NxYSLJY10bRELzJntI2oIJnyzX2N0xZQwjsKOiwb/927+5TGKSfmSVwPrhK41QRtuqvCf6fsjdsAmQAHmVzy/6rG5xg4r99M1IZQxAgJtQ17coXr2uZzOE+5/SXKNHjy7rMR+5b5rQQwbZoJFsIOtgkc131pfg2Vg/s8icZH1G7OeL/CkW3Mcyyzpy8803J7/85S/dPAo5JHRq1qxZyUknndRVOD52HEK0zwhgCBRLvkc/AkgMIAQpqxQKFjncqiwsXM+ElvegZuKECRM+QkIl7iwNQ99kD9WzxaXMjq2oezvve9V5nSROIA/0DztdNgGSRmAhAh8RCfrPZyKs852yPpvx8/rrryeEAIAB7pymH3niBptc1zdUf8n6qRJ/oe6b5z6QMGWkEpsMiVf8bt7Mfp92iPxlETj2uW+TzlGJO9aELFVOHn/88eScc85Jfv7znydz5sxxShL8Gz8oaVxyySXJP/7jPzYJiiBtNQIYBMZyb9KPAJKAQep/FveoJDT4mELUyly7dq1T3k8v0Ol4P4ifLzlhd4abS+4N3+vK7YFq7467FwxEgLu5myDVLD6KG2SMpJNIfGM4q30z/6dJ51D1XH0SkvzvHseZ6dKCEAoFsEPqGf/04TDV9c2LOtiwYBOeQphKTAdzqDZltNNHry5P+xX3SALYMCTB5cGADTAWYL4L6T363AcDxbx581yVj9NOO+0jlxBqw7rD5qJthxHABvQ4iyETTbdj06ZNyZgxY1xAtM+BQCofES5jXGohiAIxFezGZEXMm+yhRAdKuhHo38bAZtU1xqLrq+mlbEaRQSwFEAi5qJqmEyhxY8Y8lr+mtd/nO+w8p5ubkfcGg6a6vvPg0HkNHgqqnNRd7cfnXTr16vBkpF3FeYXKIX8IHCPI71vX1qe9TTqHOYHkJwg25G9QwqHeDQ8ZpO/OO+90JLCNa0q/fjYC2ICvoB8B3Lp1qxNq9qkBC0Eg2YO6uZDGUB8DWoTEEGKBykP+uEaWDgJ6fclsA7ouUxOV5Up/Euift386a9xK2gJcY7ekYf1kosfFE2qDkqkTIjiZ753qOspEZVNADGjWuMEIXqVQE95//30XA0uGZxPnhM7YT5U2ox/pT5/vm74n5g/LZ5E5oVBH1HwxlnLmBIm++5I/1qVTTjklueWWW5Jzzz3XC++aX7XyxxsBrBzy7A/sRwDZGeIW6FetA4JFID3xVOykfchillZu3rw5wWrHJE1beZ5vvJ9iEXGjsLMjsaGNhxY7gvxDurlUBQHrKoQCAijh4tiSSCRFhNUEXbM2uv+71fXNEzfY9G+IzP9du3Y5z0KW8JZY3ztd2gxXMZ6XdGmzbqQG8sf8ztzO/OpDGGN9/7zt4nsgHIZ1gnAlX/L33HPPuVi/G264Ifna177WSux8MDcC6INSzedAqJhAuh3sjFgwyYzrdvDhsIvG+pcnWcTn1akEQgYxRJTDl/zxTumSZnldJD5tjPUc+vbNN990BL1sqRvcKApe5zeTqchg3Ukk1DRmoof8ttnNpe+Bb7Vb7KdP3GCsY923XXwLe/bsKW2+8m1HWeel43eZl5kHFbIBKcT1L7kbeQPKakvM92Wsp78H33AlSDMSL9dcc02ycOFCI399OtkIYMxfwP+1rR8BxFVEOny3AFbVCuVDYvdUBsGibXxwkD5cywiT+uxU2d2y4KuUle/OrgHd5d3EtPWTBR8sqjp4NhZBxQ3y/4oZZBGqsj9oA+M4hgzPqvDvfI6+VUifr+u7W9wg3x+knj4s43svEx/eB+JHHXLmqzZ4A3jntKuYZASs9Gj95dFlLbN/qrw38xHkT4mKvuSPNWXmzJnJFVdckSxatMhrLaryvWJ7lhHA2HqkS3v6EUCseyzWZMilD+0gSSboVSS96Ksr3o9nMWmzkPvUt8XdS1Zf0Vi3ou2v83omNjDgN67vOhdrJZHgJuaH4HURCUhhmTI8uPrQoST2UxbkOvuljmez2JOYVbSuby+9QfqQ+DOfjVkd788zJflDKMTf/M3f5NY1rav9oZ7L3Kh654wLvj1tzOq20od6x0H3gfwxNxK+wkbAV3SbZKEZM2a4Kh//8A//EPV4H4RBVX83AlgV0gWfw8fQ7WDxxMJHzJQOFnF2T4illhU4LPKXjvdL17elDZImkUUCogpRJLanCRUdCnZZz8uZ2HHdS8jUd3dbVns67wuRUI1iLBIkkdCH/IQSvZW1ByFy4rwgnG08lJXPIh+ytnGT4gYZC6+99poLT2DBb6PoO2NfQtdSQZC7X2EbhHCkXcVlbszq+haVAMUcyUbAl/yhaQv5W7BgQfLtb3/byJ9nBxoB9ASq7tN6EUAqJLBg4zZSPBn/htVv3333Dd5sVfZQaTcC9btZFrpZlYhtYWGibSx4bTwgVJA/1TGNPdGhsz4qi7PIYF6rEmNHC37Vru+YxlxVdX074wbT7n7pDdaFi2KUiQFlwQ+1wajrffI+l/dnXmDDTihN58F8qnrheFrYOCi7n7kUt3HMFl4fXBgLWPFYzxgLvgQXgwLk76yzzkq+973vNR4HH6xCnWMEMBSSJd8H4sQk0Hkgn4IgMASQUlHEdZVVNSFvZQ/cnLg1+LD5qFVKSUSiDTpv9Jti3Zqqc0g/ppNI2J0riYRQAx8yqwonjIGy4lJL/hSD3B5XH1b6quv69ooblJuxylAEWXu04LdlHugcQCJ/xMD2U3NIX8fGTN8icz7YqQ99v8UgAznQTRiXkD+IbRbyR8zoiSeemHzxi19MbrrpJq85KFCTh+I2RgAb0o29CCAxVJSKUrk1yF8Zk3ja5QtkPos952HKh/wxQWH5gzTwb4o3wwpCsLfIYOw6dXmHC65vZHhw1Zdhmc3brrzXyaoEqeWH8aEFCKtStyQSVaCRnpeveydvG2O9Lqa6vnXFDTJ+0nFevtaeWPs0b7vYvGP5o7pHnlrsPBcs09VIWAskMcO3GPt3xtyB8QLvCBWlfMcC2eKQv9mzZye33Xab95qUt6+G8TojgA3p1V4EEHfv7t27HakgkL6M7M084s7AKmkP2sYE1400durUhXAxxtSlCm6nni3JHllrNsf0Lr3aIquSSD19ysKj2E8mdCU64DYua5w2ASvp28UYBsEcg1WJfoRQlGVVIpaNTSHjhm8idoJS1rhSfeOQJe4UeqONGQSfOUebs9g22LSXREbWCsifrxUYo8f06dOTqVOnuiofvgaJsvqyqfc1AtiQnsP9JiufmvzBBx+4XTRJBMcdd1wpsQ95yR/ZfATmZpH2kIuRBYiFiMmAzFAmrzKLrJc1BCTqS+wOltk2BLdL1kJkUFUsWIjoR8hf02OV8o4XVbuB9KhsYt57lX1dp4U3VNwg3zgWLzaqWUp6lf2+Vd9fIQAk/oQW5k+/CxsvkUGsjRBAkcG651TmCtYIiDDkz9dzxbqH5e/oo49O7r777lKMHlWPh7qeZwSwLuQzPjdNAPlwsPwhIEw8GVaFSZMmZbzj4NOV6MHvXskenXdJZ3di5cAVkeeQW0PZqBItxqrUhBgXuTt5dxY6X7dGHqxivobJGvcOZJ64JSyAihvMm0QS8/t2a1ta4oS4xyr1HkNgFSpukG8CuRvGAjHLZXgrQrxv2fcQ+UMJYb/99iv7cSP3x/KadhXzh7SruEo1AmV+054s5I/1gIQPvqP7778/SC37yjogwgcZAYywU7o1SQRQQfTKmoOcUSvy+OOPD/YmeZM9aBuLPXF9WLxY4EMcUs6XVUnxZhAJ5ENiW0iwdmHlILaR0nuxtS9En/jcQ+RPkj+MYVkjZOFVfVtI/TBaBiX2jZVjWCRO8sQNQv4hfwoBaKvLjnGP16Zq8tdto84awvdIm0jKYi7le4QUlpmNzfxN5i7zOeTP91m0E5FnrKaLFy9ubeiAz9zre44RQF+kaj6P3ZtqpUIoIFhYlXCxUfeQWIgQR95kD+K+iOtRgH9ZFq/OeDOsCkxYijerchfbDW/cLGR3trmkGbgQoI2VGktPNytwWpqERYhDZDBGUp/n22pDxrNP3CBuSDapqvE8jETfZ3xIBSDGRDAIoDZnEEPCVeQqDlkzXNZwNoeQP9+YRObVWbNmJaNGjUoefvjh1npUfMZZlnOMAGZBq8Zz2f1Qco3FFKuSdtDsrJ9++mkXEFt0YpXlj4XL1+ULJMS4Qf6Y4NnZVmXxor0QYFkGIchKPii7gkW3ocCkRkDzmDFjvOUcahxSpTw6nfTiK0fENSw66kcshekkkiYmCSjRAQtgr7q+pXRAjTftFjeIZZe+JZaXuaHoHFXj6xV6NGObcodNqHiTlnvCRctaIMtgrwx/H3D4zklYJD48C/nDo0RtXzb5v/rVr7wTRXza1PZzjAA2ZATgWsW6xQ4oPYnysa5duzaZMmVKoXiIvMke2tUedNBBrvJInRO8XFNMtkgKsPhIXsY3wDjPcAA7BfjHmN2Z553yXAPZUQgA7k7f3X36WWlSL8FbNhaKGyyzH/O8c7drFOuGFZwqJ1VtiEK1P8R96EclgvH+EGK5GCETTejHEDhwD2R/0LhjbmAcN+lQdSdZB/H0pPvRN2uXd4b8kb0L+fNNiMO48IUvfMGFDjz22GOtGjdVjBMjgFWgHOAZ7K6ZRDsPPtAnn3wymTx5cu6PI2+yB2W8cPNhkYytjiuWUSWQ4D4g8F5k0Hfy8ek2VbVggsTS04YC9t1wYWyqeDs4ZFkY+uGsLEb6EkuS+hESQT/WueHo1u5QdX19xl7M56ismTaGeeIGY34/37ZJ83EYNobK8FfcIH3M96gQnH5JXQg2o4Wapc4zY2bu3LnOArlixQpv0ujbN3ZekhgBbMgo6EUAaT4EkJT4rMSGD1qWP+7DYuqzoKZJDxmuyAnEfKguKiSCYHyCjkUGmcB83rkX6ZGYbVkC3DHjqrZhFSDpBYsXMX9lxWF2xpthRVLcYN2SFmBRVl3fJoyBdBvZcBES0qusmfpRRKIsvcG6cZMFdBjIXzcs0/2Iq5hQDWUVYyVUmBJqFcQEY/nzTQxkI3Xqqae60qGrVq1qXOZ83WPP9/lGAH2Rqvm8fgQQF/DYsWMzWZ86kz18yR8uZ0gPvyF/TXPlYKmS8lQBTgAAIABJREFU2C2/Vc5M8jK+ZBALY5r0NDFOLcSQVmKSAvyryu5MywTRj/RbOomkqnYIw6rq+oboszLvoSxXX3HjbnGDsijVXae4CE4if72SoIrcO8ZrMQqwuVZ5OsXx8l1K6sVX/oi59Utf+pJTk3jiiSeiNzDE2B++bTIC6ItUzefxgfFRdTueeeYZF1/CrsvnyJvswWLPzh5LI8HMZVl6fN4hxDmdmai+JIK4FMgfCxSB7VWTjRDvHuIeqvRSd8az4pTk8uc7SZOIssm5dN2yiJ6HwD+2e4A/sW55JU5C6Q3WjQtVf1577TUX/8kc0bZDcbyUvuTb4MBCr6zifqEbWPzmzZuXkFC3Zs2a6AXTm963RgAb0oP9CODGjRsTdtx8YIOOvMke7O6w/KFaT5arr6VsUHti+XuaRLCQQQ7T8jIK5GeHSzYfyTh1J73UiZ2Sf2IjPYxvCLrIIJsWBa1j5Q0VmyjsFeCPtEeVor519n23Z2PxIgM+ZKJDE+MGSXLYuXOn8474bshj68sQ7SHej6QPksHwEimJhHVELn/mVxL1NLeycTvrrLNcgYN169a1kjyHwD7LPYwAZkGrxnP7EUB0ACEj1Nztd+RJ9uB+TGrsaBHgxNoz7AckgixiyZLgkpA7ip0pSS9tXuxVzzbG5J/OsSl9M/oSlxJJOnIVZ42Z7bx3zHV9q/xGhUOZFq/OuEHiTdMi4jFY4YUD8cCxl/orc3yAA9Y/cOisfZ52+bNpOO+889ymgdJurGOQZ8hf07Kly8SzzHsbASwT3YD37kcAt23b5gjJAQcc0PWJeZM90ppuxLK0cUcrdwYEGJcnBzgoiSS0RSngkAl+q3SZvybUs+0EoFsykEhEFrFbyf4g/dNEHEIODIL7yfCsEocY4wZl8epGekLiHfu9ZAHF8tdJ/jrbTj/ivXr00UeT1atXuyzh8ePHu8zf2bNnJ5/85Cdjf93Gt88IYEO6kEWHBazbQYklLFS4JTuPvMkeJEsQz4Mbhsm9qLWkITB/pJlpbTsmdywNsgzKoiQymEf3rim4KPMbFziTu282X6zvp7qo9CXvhBtKZBDrTS+LkjZFWC+aWNc3VH+AA646pKB8Bb9DPTt9nxjiBiWH1Xbyp9jHLBZQSOCFF17oiOCDDz7oih0sX748Wb9+vfNqQQSvueYa73JxZYyxYb6nEcCG9G4/AkhsHgQN2YXOyZEPjMWbmD1fN4lluH6IIjEpJL2AHyS409qH/AmxLZKXoQ9EBvtpYjVkyI00c9hLmqnWtPoyHf+ZzkRN1/VFz2yYCX+/MaqKDiz4sZHgTpc/36FExMv4JmUBBYfY5bDKnHeU9Zwl9pHv6eKLL06eeuopR/jSBgzieEkC2bBhQ/KDH/xg6GLOy+yLLPc2ApgFrRrP7UcAqb5ApmPaZJ432QOrFqQHawgxf76ksUZoSnk0CwmZvpA6YlQGVXNQ+SRZlCCLiGODYwwadXlBwuqcrvFcdkZt3naGuk7xnyKDjANIID9YCiH9bdZ8BB/itMAH0hOzZ6CbTl3IuEFV/2k7+VMJzCwxoJC/b37zm87aRynTgw8+ONQnbPfJgIARwAxg1X0qi0+3g/g0JmbkFzjykj+p1kvAddgyfX37T/ImxFVCqrPikNaoY6GEPMoySFxMU0i1qlpgOUH2ZxAJ9sW3SecRAsF3wWJPvxIrCLGnP9tmAZQFFKFnLKAIqjfl6BU3qBq3WSWtJG4M+Wtr9R/6XmtGFr1DxtFVV12VLFmyxFn+LNavvq/ICGB92Gd+ci8CSLo9izWLdJ7KHornYZEbVtV6X7A1oYWSN5F7UXGDYJ0WLI6VVOGCIbYUooMlOCsJ9sU79vPSdX3BARkLufwhgCEqysSOAe1jHBMTTLUTyF+Tk5/SWf5s0LDyZqlTTNILcX/g4Ctu3IQ+ztpGvgMksSB/PhJkMk5897vfTe69915H/mS0yPpsOz8MAkYAw+BYyV1YjJi8Og92o7huIW9M1By+lT04H/0udvXEb7R1QgNXBXNDpMuQIVDAusgg/ZnWGsxqhShr0EFyqOtLHVd+2kr++tX17awoQ98p1qxfEklZfVbmfbGeqeQhFi8kWIbp8I0bVBa8atq2da6k7yHOjIksuo/g9/3vfz+54447nNQL19pRLwJGAOvFP9PTexFAiAuWK2IwsiR7KL6LD7NbkkOmxjX4ZMU1gWFVtY0lL8MzmUxxNRJnJhJR1yJLPA8xpezMEf1u65Glrq/KYEl8mv9X1QMIfqxWXp++heiyGYAEEvs47DGgveIG6U82RiS+YPlreha8T9/3Okfl/rLogDLf3XrrrclNN93kkj7YSNhRPwJGAOvvA+8WdCOAfFiU23nhhRfcpKT4pEHB2SxwJDmQoMCH3ORFyhvALifKuoG1hwWurrgmCKAIBCLUxArKvVhVvWUyGt944w3n0oG4tPVQXd9PfOITLjg9iwU0LUtCf5JRL91ISERdxD5PX5LYxBzB3MDmMhYLdZ53yXNNOm6QjZGyw4kN5vtoGx5gqLKHVL4ZVHhAmPNNYPW7/vrrXW3fcePG5ekOu6YEBIwAlgBqWbdkQpaLl2ekkz2YnNiZsejwkUJkRAY75Q9UzuzAAw/MvMCV9W513JeYShY4JnIWuFisG5AGuYlJSMHVJDI4iNjnwZFxtGvXrgQphzo13fK0PfQ1oev6itjTn8RVsuFSX9a12fDBTLGPxPqxIWjrBjGt+0i5TfowT9ygD+axn4MFFEWALLWewe/uu+92SR+rVq1KJkyYEPtrtqp9RgAb1N0igHxU/Ki0G1mlaSuF4pNwL0L2sCCx6EAIifXDypPlI24QRN5NlQWUeC12s7Fm5narXhEy8SAtdI1bpm2ZrekBU3ZdX4h9uiZqrLqRtJMEIGV/x/pteH/sOU/UxohxceSRR/7et9EtblDJXWXoDeZ8hWCXsW6wWSYRyjc0BPzuv/9+J/fy+OOPJ8cee2yw9tiNwiBgBDAMjpXcBQIoYWffZA9ZBpnEsELwUUIEsf41WZ+uCOBKcmiaBbQz8QCLZVpeJourEvwU38W4wvLX5MzOIuOBa6uu6yvdSAghmzT1JSSiTqkgQiEIJ9HGKOuYKtoPsVyf1jscJPrdL25wGBKC8EKwIUCupVe50c5+A7/Fixc7oedly5Ylxx9/fCxda+1IIWAEsEHDgUUjHQfouzPnOtL12dmjts4HDRlM69MxUbVhsieIe8eOHY1PclB8kuIG6bu0vMygsYH7m0ldLr42xjPx6bNQIX9UZ13fTo06SQXRnyQGVeV+xV3NmOC5uDvbMB90m/7BH21ViDmWvyyu+tB6g3UvT8TDMiaQxSIm1ucAv1/+8pfJBRdc4H6feOKJPpfZOTUgYASwBtDzPBISR83EKVOmJMcdd5xz6/ocuCqI2+B8Ynm00EufTpZBEQisg8Owa+22I5V+FziwsA7LQV+K1EMI06XMumWhaqGP3f1ddv+k47tiKWnWKRUEUVd2OH1ZVhKJdB9x77HYt5n8sUHES1BU7Fp6g+mqMln0Bsse/4PuL/KnwgCDztffH3300eT8889PfvGLXySzZs3yvczOqwEBI4A1gJ7nkXyM3/rWt5KlS5c6MdaZM2cmf/d3f5eccMIJPXeoxG0g4UDW2pgxY/oWuOdcJR5AIORaZPEZZE3K8z5VXpPWOsTVOcwSDmmRW2WhpuVlIH9sCPbff/9WL/Tpqhaxxj7Sl+kkEr57ZYdjpctimer3vSnrmZCI0aNHt5r8SRMVy5/vJtt3LlPcIISQDRvzUKxxgygREApAFny6Ru+gdyXW75xzzkkeeOCBZM6cOYNOt7/XjIARwJo7IOvjIWdbtmxxpnV2WmQtTp8+PfnCF76QTJs2baQ25+23355s3bo1ue6667xN97QlbYHAOojlUZNUEzXNaD8kmHi3tsW5dRIIrDwcWHlx8bU15o9viJAI4t0gf03BgfYqiYQNGwRCupF5Ew+4DxuCrAt91nkr9vP5VtC/hAxj+QtN/jrfP+a4QeYJyJ+E4H37DomXr3zlK8k999yTnHbaab6X2Xk1ImAEsEbwiz4aK8b27dsdGcQySHwbLmLcN4ht3nXXXY4Y5j2YFJkM5CYmhhASCIFogg4WCyaZa1hKUJ1va5wb/U+SA3FNaHeBCwsdNUxl6W1L9q82BHw7TRY25j1EBolVg8Rqo4aV0MeFK8mbLMH9eeeSmK9TJjxzXR1l7mKKG8TKzJqC1Q9rsO9BWTdI349//OPkjDPO8Bp/vve288pDwAhgedhWemcmMSyD5557rlvsie9C2w43Me7iohm/qlwhN7HqZ0IGWXhi0dAT6BAcLBsQHKxdTXdj5x1M9JtiH6lywrjgILZMsUnEO0mShP7kv30IRN421XVduq4v30ZVyRVlvy8EAjInQsjzBtWbVh1XJJAIEWnrEVuN4zrjBgk3gPyR6Uvcn+/x7LPPJqeccoqr9IH7dxjnDl8smnaeEcCm9ViP9mL9+/znP++0qv75n//ZxfNhGfzVr37lsl5JHMEaCBkkJqzoR6rYJKyD7BpV7QDCVVagum9XsRDi4pNbq+i7+j43tvNY3JTNiKuzV+yjJEkYM7ImSUQcK+Ew4Ke6vrwPlW+GdUNAn7P50UaNvk0nkbBRQ/CbOaGsmtexfQe92gNWzBNsZrH81T1vdWtnVXGDIn/EBkP+fL/55557zsX6UeN3/vz53tc1ZYwMezuNAA5BD+PmnD17djJ16lRngk/HNCnTUWSQeLiJEyc6yyCEEcLm+7H3gorFVW5ilTGTZbDsWJrONlGo/fXXX3eLPG1o65EucQf58+0HWZMkL5OWCqpTn65IP6qur6zBRcd7kbZUeW3aas+mCBzYIEIqsPz5CvpW2eaqngX5e/nll500Ft9HjOSvE4uy4gYZD1j+sARnyQDnGtaQa665Jlm4cGHhdaSqvrfn/H8EjAAOwWjYtm1b8vTTTyeXXHJJ34+QBeHNN990FkIsg3zARx11lPuIIYQsCEUXR5UxgxBiiaiq9FW6nBmuTshKWw8WCtzf9CVY5HXPSypI1iTp00GksPg2wYVapK7vsI0fKgChdwgJxOKjEoO4i4fV7d+tDxnXbIQJg8Dyl/f7qHN89IsbxOLr+05s3lkH+KaJBfWd/5lf8CZdccUVyaJFi7yvqxMze/ZHETAC2NJRwWKOtQwiSALJ5s2b3WQIEcRVjCSE72TQC0LFmUEGyTbUgoNlLmTSAZPhK6+84iwcBPaHvHfThodcnSrjFYqkderTQTJJBGLhiDUhKHRd36aNhXR72fi9/fbbI7WeZU1S7XAsxIobLBovHDNOsozz/lj+fIlSzO+UjhvE0gu5J9ZXGeK9rP8if1mFv5lrZ8yY4Yjf5ZdfXnidiBnbYW+bEcBh72GP92MCIS4IIggh3LBhgxONhghCCLPEhPR6XLqmLQszFgfFmRXR5Utbuwjsb4Irx6NLcp0iMV/JvBQl8L0aIdcixF4LTlprMIY+KLuub64OquEi+mr37t1OIaCX2HWn25/4yCxVZWp4rVyP5D3TklDDQP66AeETN4inBssf3y31fX3nCmJHIX9f//rXk6uvvtr7ulwdZheVjoARwNIhbtYDWDBIBEBjEFfxunXr3AQhMphlsuj15p1JB8i0sFuFuGTRM2OnS/yjAvtDWbua1WMftlb1jaXd5Tuhh3hXJQRBBhUDKnkZ39jDEO3QPaqu6xuy7SHvpXq2WPmw7rPpGnSkq8rQn3yrsvRmcS0Oek7Vf4f84bbkN0S4LZJQ3eIGsQ6yCadfiQX1nSt27drlyN/ZZ5+dXH/99d7XVd3X9jx/BIwA+mPVujNZQHDdLl++3JHBNWvWuMxauYlDZFMi0MxkhMUG4on1SGSwXwaqBGyRLMgSuDyMnfjBBx84EdvDDjus9sB+xYBCOqh2ILc/fepDQIr0Twx1fYu0P+S1YKGqFnlLmkkHVAlBEH2VMqM/myKgDeljo8j7ECLSFvLXOZ7Agb5EGQCij6UXEqia0/0sokhJUdMXrb8bb7xxaLPoQ36DTbiXEcAm9FIkbSSgnlI/kEFU30kaIYEEGQCSDYpKa3S6opioZUlKi9tKxqLtArYMC+K6CO7HZc9kHtORdvtjoZSllz6FGPpaHnzeSUlAkOFY6vr6tLuMc9LadlkywAe1BdeiyKCExOUqLpvcD2pbr7+zwYT8MdYgf232EvA94vZlY43lj5ARaUem4waZR9JlBpljIH8oTdx2222F5/m8fWnXhUfACGB4TFtxRxIuVq5c6cjgqlWrXCwJEwRkcOzYsYUnCRYxSIPizJjAIQ78O4s88X6xEZ4qOz6d9czCRuB+zAcLMRZeaQ1ibehG7vO8g2o9Y3GMta5vnvfKc42SHEjAKlPehPurP0XuRQZj0Y4U+WNjyga17eSP8m5KDuvcfKXjBlesWOFiwZEVQz/20ksvdeVG77zzzsLzep4xbdeUh4ARwPKwbc2dmTywCDJpYCHEGoBlkLhBZGaKTrwig8SgsFOVZZCYQVxSRS2PTesola7CCtNEwiMJC1mTWIzyJh00ta5vGWMuHedWZZk7hXGI3PO9qz+JN6vj+yR2Ecsfc8UwVX3JM27AAvKHOgLi34P6g35kY0/oD/XkwZC4P+bzSZMmDUXmdB4ch/EaI4DD2Ks1vhMxYNQhhgwuW7bMTRZYBpk8jjnmmFyTBwsMoq1YHdjJp+PM+JsWG6yQRclmjdB5PZr3TWcyxpBx69XwHielkw5YeCAxaXmZfv2pur5YQ4voHRZpfyzXgkVa+7GuOLe0diTuxXR/8n1W0S6w+PWvf+3mGiN/H5I/1UMfRP40nvkWSfjgu6K2L1ZBCCEb8JNOOsn9GzqAdjQbASOAze6/qFvPRIxANVVIyCpmMZg1a5Yjg5MnT/aSbIHssZMn4Jw4t/QCIv0rJitcxdKmwzJY1WJTZQdAgFnYumFRZTvKela6P+lT+j4tL5MOUh/Wur55sBUWGhexbIK61bWlP9mw8VNGEomsXdwb8udLePLgHvs1IsJsErNggWsfckdS2eLFi0fmXMg9ZBIiiDURDUA7mo2AEcBm919jWo/lauPGjckjjzziyCBuYyYZXMVTpkzpWqqMiYhMRixCyM/0m8zT2nSQB0ROWWwgg1zfdM0vdt6QP1xqBHAP+8JGf0pehv4k5lTitsSYIUY77HV9fT5uNgUsyoRd/PVf/3XU44L+xCpIfyIXRNyqrPchxNtFhJEeYrM47N9Iv/HBfJu2gvpigboCm/RRo0YlDz/8sNcm3Wec2jlxImAEMM5+GepWYQmkiLgsg0w6BBljGZw2bZrbXfI3lOYhi7ghsmaMQhhkGWThiU2oOEsHk9yAe49C7W2VvIHQ059kgJO9iFWDRYpEkhDkIUt/xHIumED+yJBv2qZAVYLoU5JIILAig3kyxCF/inOLnQiXPX6U/IIlOIsLnJhiwnXYNBPCU4aFtux3t/tnQ8AIYDa87OzACOBWoJYxhI9KJGT4olv2/PPPuyLjF1xwQeEnYm3ERcxiA3mQJakJWma0GWsXxI/yfG0+RIQpWg/pw5oEeSCzEfLAwtWWmrayCMs6nnWDFNM46pYhLjIIuR1kvRL5o+99khxievfQbZHmoeqA+4YDMC+yAYd84+KtQ8A9NBZ2v8EIGAEcjJGdURECLAR///d/nyxZssTFn+D+xT2M8DSBxyFqlMqSBLFix8s9VZIutklPFS0Q3KaNbT561fXtrCpDH0peJhY5ktD9hnUbaxdEeMyYMZmt46HbE/J+yvhXhjj/r5hByG4noZELXPImg8hiyLbGdi9lgUvw2pf8sZmYO3euw1YqDrG9m7WnHASMAJaDq901IwIE/CM1gDUQfUFEnqlugWUQd8TOnTudJhVkkBgV5F+KWj1YPOQmxroEYVAVkrQQasZXKXw6EzjK+3v37nXubyyWbT5U6QQ3J6Sn19EpJM6CltYaHAZyQOwcsV1Yg0ePHl34G4h5XPEdsElT3KCSgkQIlZTAJq5pLvDQuKvOMb+zVDthQ3zKKackbL7Rcy1Slz30O9n9ykfACGD5GNsTBiDADhSleaw5uB9YtNOHRI/RpuIHSZiJEyc6lwUxK5xflAziRoIMKiaJiVBksMoqByxqlGoiAQaNv7ZPyO+8807y+uuvZ650IjkSCYkzhtJag77WkZg+XpU/pBwj8Y9tOpQUlE4igdDzbZLw0dY4UMYAYx1pKObPLHWOIdSnn366C4tZvXp19GLybRrvVb2rEcCqkLbn9ESAyf2nP/1p8pWvfOX3ShB1u0DWMYgglkFcYYhNYxkko5jydEXJIBOpFhpcj1gD5SaGkBW9fz8LFuSWXXnIEl5NHHr085tvvulK3WHRIBYs7yFLkuJA6d+01mAV2nR5267r5AK38oeJkwfCU0CSAkQeYgwRlLW3zG+0aD+Gvh7yJ41U5gxftQO8H/PmzXOx0dR4b7uXIXS/NOV+RgCb0lPWzo8gwMKOhQgySAIJmcVHHnmkI4P84CYrStYUoM5EiVWurBgzLJBpIV/fiXwYh0WZdX075YJIEIo9Q5zNyG9+8xsXF9vPBT6MY6HznZT5TAgIePB9Kw4UnPhGVWYQi69PEklTcYP8MS7AhMQ53zkDvM4880y3uVq7dq0b/3a0EwEjgO3s96F7axb29957zxFBLIPPPvusk0DATQwZxG1WlAwSX6P6pyw2WmiwDhZJUGECJ65LgexNdE+GGlBV1/VNaw3iCoMwyJIUQ1KQ4h+RNukMjQiFeVPuw3eyffv2EV3Qbt+zygzKgs+7KWZwmCoF8Z2gDsD4ZdPrS/7Y0H71q19NduzYkaxfv95hY0d7ETAC2N6+H9o3hwyyAKAhiHWQiQ5rgcjgoYceWpgMMgHjllPcYDrhAHeKL9mEdED+IJEh2tXkTmXxxp2Fiw93VtU6ZOkSgyQFIYkhMlhlHKj68F//9V9d8hMxbris23xgqSXcA8Li+53I9a9vFLcnOHIPfje1jCLvBfkjGxzLn+978H197Wtfc/MNc+K+++7b5iFl754kiRFAGwZDjQCTJTFC1CWGDFKn+JBDDnHxgnPmzAmSPZhOOGCx4VACCWSwV/YpBBLCc9BBB7kfX9I4jB2mWra8Wwx1fXHJy4qE1iBxoCKDeYSKs/YZGeC7d+92WODubPOBlQvyxyaJGMg830m3yjKy9kII68z6z9K3vAfqCGSDY/nLQv4uvPBCV42J8pyIytthCBgBtDHQKgSQlXjsscccGXziiSfcRIhlkJ8s9TJ7gSbCKasDu26JFOOCEhmkogU6h1gmSVxp84FlJl3vOTYXeDeh4rS8TB5C0q+/SX556623nBWU0II2H5A/3L6hNQ9xJ0Pw+WGDqKx/vtVYk0iYW5gzsE5D/nwt5GxQL774Yrf5xfLXtgzyNn8/g97dCOAghOzvQ4sA7lc0ByGDaGDhFsIyCBkcO3bswAoEg4BJu6BIIsHKpZgbCCKEs+2uPQX1Q3QQvI5dq08xZhIqhvyl5WWKtJ/x8sYbbyQIgOPaw9LY5kOC12yQyiyBqKx/JZFArCD4SiIJTfDz9Cljg7g9rNGQP9/4VMjfN7/5TSevheWPWGg7DAEhYATQxoIhkCQJMUZoYZFAgho+iy9kkAQSZGaKWqWYwHHboPHHb4iCpEhYaJogRRJ6oLDAE4/EYusb1xW6DUXux+KKNSZt7U3Ly2QZM4wP4v24F+SvjpjDIliEvlbkDws9IRtVkTCJics6yHvVrR/J2GDeIGQkK/m78sork4cfftiRP6rG2GEIpBEwAmjjwRDoQIBkALSxIIPsnImzQXAay+DRRx/tnXGXvi1kgdgdXNDo2vH/Ig6QT+K8iHFisfHN6Gtyx0GccPvijhqGihYi+OpTVa2QJalfn8q1hysS8teUeLSyxh+WeWL+PvGJTzjyV9chgq9YUCyFkgyC6FfxnUoSiXEF+fMdG1x37bXXJvfdd99IElxdONpz40XACGC8fWMtiwABJn3iZihJR1YxE+vMmTNdAsmkSZO8grC5B8kexJJB/joDtyVFgpsYywdkUDFmvkHeEUDl3QSkdMADiwSL/LAd3RIOSAZSn6ZjtyTnQb+3XfybcZAudReTu1L6kSL4fLPqUzZtvi7ZLGOdZ1IFh3khK/m74YYbkjvvvDNZt25dgoSQHYZANwSMANq4MAQ8EYDAoS/4yCOPODJI/BpkEDfxCSec0HURYGFHrJVFHzmPQa5e7qmKFSyGZCrKMljGIuP56sFO863rG+yBEdyIPhVxwAKsmtNYkcj0lZDvMJL9LPAz3rH8kRGPVTjmQ32KdTAtGQQZxH1f1GUN+WNskCwG+fMtdcd1t9xyS3LzzTe7pA82nHYYAr0QMAJoY8MQyIEAsUKbN28esQyyCFDPGDfx1KlT3YRNfc5TTz01+f73v+/iCbMmCEiXDkIo4qCSdL6uoByvVtoleev6ltagGm5MxjOkgT4loJ8xQcUaslxDEIcaXinIIxnfxINC/CCATTokGUS/EqenakGQwbwC8ZA/dCAhf77xoJC/22+/Pfne976XPPnkky6RzQ5DoB8CRgBtfBgCBRHAjff888+PkEGsXMccc4wjiHPnzk1++MMfZiZ/nU1KEwdixeoWKc4CWci6vlmeG+u50jwEFzJcIQ1llhmMFQe1S/GgxPtBhpt8KIlEWeIQ/KxZ4ulMcCRpfA7GEvXUv/3tbztFAxLX7DAEBiFgBHAQQvZ3QyADApBBXDBILxDjtmfPnmTKlCnOTXzSSSfltgikm5AWKYY8YCGQ8LTvgpHhlQqdWmZd30INq+li+g5LF+5eZICUKdxJHNKVZYa5nq3IHzIvwxYPms4SxzoI8VeWOMkk3ZJI0ICkRi+WP99vmW/s/vvvd3MOCgbHHntsTaPbHts0BIwANq3HrL1RI8Au/KLknAVwAAAeaklEQVSLLnIT8sknn+xKNpFAQkbxrl27kuOPP96RQWIHSfYoGivEoqL6xPyuumJFv86ouq5v1AMjSRKsuJA/wgMIzO8VEpCuLANxYIGvW4qkDGyxZJMJPqzJQGnM6EOym2UZJIlEyV70LTHCiH/zk0UDkvs++OCDyaJFi5xiwXHHHVdGV9k9hxQBI4BD2rH2WtUj8J3vfMdZ/5iIJ06c+HsNkM4botP8QAw5h5hBJGZYBIqSQZJUsAgSXwYZxMokyyCJB0XvnwXRuuv6ZmlrFeeSNAD5Iybs8MMP9w4JkJi4EoPSViSsSYOSiqp4tzzPIP7xxRdfdKXdDjjggDy3aPQ1SD+JDBL/CAHEOnzEEUe4pC+fg7FBQto3vvENN6dMnz7d5zI7xxAYQcAIoA0GQyAQAsT6YeGjokW/QxUfmLSxDEIMiNmBDJIsQkJAUbLWzaWoBBJcikXv3+/9YqvrG6h7c9+GxZ7sVgjbX/7lX+bGXlIkIoPcV7p0bCCakkXMJoUEKcS/rSZt4sJEcP0S10smNBZiWXz7bdxQIjj//POTX/ziF8msWbNyj0+7sL0IGAFsb9/bm0eAAIv63r173Q5+6dKlyXPPPZeMGzfOuYn5IS6qKFnDpYjFBeKAS5H7SZMOLbOs2cn9YJObk0xIZG+yVMOIoDuCN0EVLULXsqWh0o/EkoR7EWKvfo1VMkjkDyLc9hrY9CFl/9D6U91nWfHpU6z4fD/SGWQMqV+J9TvnnHOSBx54wGmS2mEI5EHACGAe1OwaQ6AEBCCD7733nrMK8rNx48bkM5/5zAgZRBg3BBkk8F5WJMWXYR0kJqkIGVRdX4hIFjdnCVBGcUuJGkPiQ/Rdv5eSZBDEIa1LByH0lREpGzQJgB922GHOyt32A5kXyv9B/vhmOg/FgtKnhJawQaQSERurO+64I7n33nuTL37xi22H0d6/AAJGAAuAZ5caAmUhADFj4sfNg3WQWp6QKqyCuIqJnSpKBnlGupYt1ge5nnAtZrHeydIFkWxiXd/Q/ajs1jp07TqzxHEpyjKIm7HouMmDFZZnqr8QHrHvvvvmucVQXcNGj/q+CDVjhR90ENLBhvCf/umfnMAz1t9p06aNxBD7xg0Oeo79vV0IGAFsV3/b2zYQAYgaLtxly5Y5MsgCgGwGZBD3DxaVIpY7IEnXssU6CImQZMWgZINhq+tbdIjIzRlDdiukPp0ljvSIyGDZsaDCkY0M1XCyJDgU7YOYr6e6x44dO5x1H6u777FhwwYnLH/bbbe5mGGSzdggokE6fvz4ZMGCBckZZ5zhezs7zxBIjADaIDAEGoSAskIfe+wxRwZR/CeLUmQQ91AIMohFT25iXLtYBLEyQAbT+mXDXtc369DA0gXZiTHGDSsSGwlln2IJzCpSnBUPxhAZ78jeQDzbfiAS/+qrrzoNSL4p34PYYDZ7VBWaP3/+71lxIZSQQRJGvvSlL/ne0s4zBIwA2hgwBJqMAMH/K1ascGRw9erVjqDJTYyYbFEyCDaQQUgDizmuJ2WeStrG3HofjiDVOW6CpSstUkzfQg7TFt8s7v9e34/IH5sSiGbbD/D47W9/62L4wNr32LZtm/umr732Wif5UocL37etdl6zEDALYLP6y1prCPREAHIGCSSBBFKIRQBZGRYPXEQhFnWkR1jIyF4k8YBqBVggse6gZdbWQwH9WRf3GPBKu/8hg/RrWl6mW8WKQe2WmxPLn5G/xG2gsAxnJcMIZSPx8q1vfSu5+OKLjfwNGnj290wIGAHMBJedbAg0AwHctmvWrHFkEPcQ5AzBadxIZBLmFRBO1/UlKUXZp4jZInIsrcFYZUjK6D1kfHbv3p05pquMthS9J/2blpfB+kucmlzFPiRf5K+JZLgoft2uVwJMVjc4hJHykZdccokr82aWvzJ6p933NALY7v63t28BAiR0rF+/3pWkI5GEg1J0kEHqhvoKCMvliwWQclXpWqXo/8lNTFII1kclG5CFOqwHAr6U7yKbs5uUR9Pfm40E/cqPSL7IYLd+VXZr1hi3puPUq/2KkSVMIkumLnGCkL8LLrggueqqq4z8DesAqfm9jADW3AH2eEOgSgTICiWbkBJSkEEseJBBpGWoI9rLcpeu6wv5o+ZwrwPCKdJA0gFEUSXpYtGkK4q5qrngCs9Su7Xoc+u8HpKPNYu+TfertAYhf+jaZc1urfOdyny2ssGxlGeRvqFm+IwZM5zQ83XXXWfkr8xOavm9jQC2fADY67cXAQL/N23a5CyDyElg4WHhgQxOmTLFlaTiINEESwQZhpS683EDClXKwok0sCBCHOUmhhg20a0F+WORxhKKiG/aEtqW0US/puVlCCng39CAJCa0if0asu9U6zir6PUbb7zhvsHTTz/dZfyGSOIK+V52r+FCwAjgcPWnvY0hkAsBLHxbt24dIYOQG4rLQwSpOsCCjvRMkYB+adJxb8gD1ka5ifvVPM31QiVdBPlDww0yi+VvmN3bvhC+/fbbLgYSFzjVT0g2SmsNto3E/O53v0tI3sgqBUQoAeSPxK1bb73VyJ/vALTzciNgBDA3dHahITCcCEAGf/3rXyf3339/cvfdd7vFnIB+LIPEJYUga1gfZUHCQiiBYqyDJJPEaEECF2Q8IDmQvzYluvQa6STAYLVSDKTKl6nutEoNMoZIJgmRiR7zV0f8K98OltD999/fu6lkkVPZg00XG662kWZvoOzEoAgYAQwKp93MEBgOBEhumDp1qqs4cNFFFzkXMRnFFK7HDYy0DPIUlLEqStYgDVjUFDeYtiCFuH+IHqGNlDIjKQLy55s4E+LZsd4Dy9+ePXucGxzS3nlItFyC4riIfavLxPrO/dpFCAXkjyo91H/2PciaPvHEE5OJEycmP/3pT4eeJPviYueVj4ARwPIxticYAo1CAPkJLBEUmr/55ptHrBEs6NQvJWYQMog1jCxiLIOQQdzDIcggLjSRBoBTAglksA7LCNbKl156ycW4QXby6OI1agB4NBZ3JZuEXuSvGxlMV5dBTzKtNdh0Qi3yd8ghhyQHHnigB4IfnsI4x6rOpgKL+7BbSL2BsRMrQcAIYCUw20MMgeYggHVv7NixyRVXXNGT0CkLVmSQmKcJEyY4yyAxTPvtt19hMsgzIIOyDELEIJm4iSEPVZBB4hZ5Nw7cnHn1E5vT+4NbCvHD+gf5Ixwgz5HWGiTJiPhBxQ02zbVOSMALL7yQHHzwwcmoUaO84SAEAvKHRMyDDz5oY8sbOTsxFAJGAEMhafcxBIYEASxdWaxcEDUIAeXoli5dmmzZsiX527/925EqJLjDiloG5U6U1iBtlB4dbsUyLCc8A5ceWKBrV8YzmjZkcPkS9xdS+kZi4vQtMXT77LPPCBmMXTYI8gr5O+igg9yP70GWMFbz0aNHJw8//HCm7833GXaeITAIASOAgxCyvxsChoA3AhA1AtpxEfODzAyWMyyD/LDghSCDLLxyE0MgFFsGKQxhpUPzDvJHli8VHKqwNnqDXMOJ9Cvk75133glK/jpfBQ3JtGwQ+MsyCDEsOnZCQodLe/v27c7qx7j2PXAXU5UHbUA2TVlklXyfYecZAj4IGAH0QcnOMQQMgcwIQBogaSSQsNA988wzzt0lMvjJT36y8ILOM1iI5SYmtoxsU9zEkMEslky9IIQSqw7uTdpr5O9/XaYvxL6zAkzmQZHhAskG0be4S5UpDiHEZVwnGWTMMUbQPCTuz/dg48L4J2kGIfamubt939POawYCRgCb0U/WSkOg0QhA1HB7iQyuXbs2GTNmjFsMKUmHYG6IBV2xZRBP1bGVBckn0QACycJOjGGoNjW54+g3NP6o8nHkkUcmdblkif9k/EAGsRAyVhQCAOGvkqQzxrD8IfNCxq/vwXUnn3yyI7JoataFpW977bzhR8AI4PD3sb2hIRAVAornW758ubMMPvnkky5zEjJIRjGagyEWdCRb5CYmUB+rkSyD3SwvsurgmgthnYwK9ByNoZ+Q/fnggw+c5S8WwoIkD7GCnclBEMKy4kEFHxsEyB9JTpA/300LY/GUU05JILIrV65sZfWYHEPQLikZASOAJQNstzcEDIH+CEDOVqxY4cjg6tWrXcwXmcRYBiEeIcigEg0ghMRg4d5VSTrK09EGYv5IWCGb03dhH9a+TZe7w/IXa8UT2knfiQwqHhQymDcEoFefQuIgf4wbrNe+Y4Q2UdqNDQbjO2/m9LCONXuv+hAwAlgf9vZkQ8AQ6EAAN9mqVatcAgmkkFgpyCCWQTKLQ2TikuCBGxEyiMwMBJBFGvKH5a/tB6Rq586dDqMmlbuj3Wl5GYUAyFVcJNlC5I/NSRbrMGNt3rx5jqCuWbPGWaHtMARiQcAIYCw9Ye0wBAyB30OARZdFE8sgMVO4bcmexDKI5mCIbF8WZip8YOHCvYebU8LTH/vYx1rXIxL7JukCyx/kuKkH40eWQay+bCZEBrNYNNkcYPkjLpT6vr6WP2SEzjzzTCeb89RTT7nr7TAEYkLACGBMvWFtMQQMga4IIA9C4ghkkOxJFmF01CCDlNDySfDovDEWLqqesKh//OMfd5U+VJ+Y35CfWCVIyhgmkL8dO3a4ZAssf00mf534yOoLIeT9IPfqW0h/L1In8keiSZakIDKYzz33XGdJXbdunSOedhgCsSFgBDC2HrH2GAKGQF8EWFyRlHnkkUccGWRxhwySREKdYh9XH+7fV155JTniiCNcTFfnwTOoT8x5kEEIpiyDxHD5WoGa0pWQv1dffdW5xLH8DbM8SSfR511FBtN9y7jC8ofb9vDDD/fucxI95s+fn7z44ouO/JFUZIchECMCRgBj7BVrkyFgCHghwGK7ceNGV58YiRl01mbMmOHI4JQpU7omL0B0yGxF4NnHMsMzIIOSICEOUQkkdevReYE04CTIH3WdcZNi+Rtm8tcJRbe+hQxSdxr5G9zGaEH6En7ut3DhwmTz5s3J008/7SzLdhgCsSJgBDDWnrF2GQKGQCYEkAehDJ3IIC7eadOmuQSS6dOnO7ffDTfckPz4xz92CzRSHlkPnoELEcug9OhkPYI0hMhYztqmIufzPpA/iDPkz8d6WuR5MV8LFlhA33//fbdB4MB6B9nHBTwoAYnrL7roIheqAPlD2sgOQyBmBIwAxtw71jZDwBDIhQCLMYLOxAySUfzuu+8mn/nMZ1zCxz333ONcxr5WnV4NkB6dtAaxpGFRFGGInQzSftzgZMu2nfypj3EP4/YlSYSscJWl499VbpDfnQlIYHnZZZcljz/+eLJ+/XonJWSHIRA7AkYAY+8ha58hYAgUQgC33Ne//vXkgQcecAkfWLyIFcRNPHPmTOfuK0oGIX9pcWJiCJVxSvbnIOtRoRfMcTGEhQQYMp8hf3mSaHI8NupLIHlsGkh+Sdd/VrlBEX0wwwqMlfDUU091hP/KK690MamQPzQC7TAEmoCAEcAm9JK10RAwBHIhwOK9aNGiZMmSJU6KAwJIpituYiyDxANOmjTJuYmxCmLdCUEGJU4MaSCDuZ/1KNeLFbgI8ocllAzXz33uc0b+ksRlgCMEDhH+9Kc/3deVj9Yg8aY333yzq5QC4aNOMpVtJk+eXKBn7FJDoFoEjABWi7c9zRAwBCpCAKKzYMECV2qOuKxOt5zq3IoMkrV59NFHO8sg4tPEf4Ugg7hYZT1Cmw6LIFYjSCF1Yas8wOSll15ymdNY/qp+fpXv6vssrLWQP7AYRP7S92T8XH311Y74kQz0L//yL45QU+8XeSITFfftATuvLgSMANaFvD3XEDAESkWABfraa691emwHHHBA32dx7ltvveViBpcuXZps3bo1GT9+vCOCEEKuL0oGaQBkkGxiCCGWJMggSSS4i8t2w+IKx/KHRRKiYuQvSSB/EDdc9JA/X1c94+UHP/iB+2FzQXwp8YIIlmNZRsB86tSpLibQDkMgVgSMAMbaM9YuQ8AQqAUBFndceizkEMJNmzY5woSbGDJ40EEHBSGDxJLJMkgWLrGIyigOnY0L+cPyB+H57Gc/a+QvSRIwgfxB7CFwWcjfj370I5dR/sQTTyRjx479yDglBGDPnj3uvnYYArEiYAQw1p6xdhkChkDtCEAGCfYn5gsyiAA14tEig8R/hbAMditbJq3Borp8EB3c2/yGyIYooVd7xxRsgDChfyHEWcjfXXfdlXznO99xNauPOuqogi2xyw2B+hAwAlgf9vZkQ8AQaBACkAUEoak+QtwgVR6I88IqCCHMUiqs32sTnyc3MZnFVKeQZTBLDVueISuXiI6Rvw8xwRrKb8ifLyZgeN999yWXX355smLFCleC0A5DoMkIGAFscu9Z2w0BQ6AWBCT7QgIAlkFivkaNGjVCBtMyIkUaSLweZLCzhi3WQWrY9jsU3yYXpy/RKdLe2K8lCQZrKNhksYbS3w8++KDLKKfPjzvuuNhf1dpnCAxEwAjgQIjsBEPAEDAE+iNAzBcB/5DB1atXuwxiEkjIBoVohBCFRqpEwsRYItGrk5uYKidpV7TIH8/NEt82zP2sDOisSTCQPzT+vvGNb7i4UKrL2GEIDAMCRgCHoRftHQwBQyAaBMj0JT4MsoCrkOQOyCBu4nHjxnnHmw2y7v37v/+7SyLhN3GCchNDDLFyEddm5O9DFCV8TaxlVvkbssLnz5/vtCQRDrfDEBgWBIwADktP2nsYAoZAdAhAONAhxDKIhRByNnv2bEcGJ0yY4B1/1u/FiGWDBOImxkII2SGL+K/+6q+CVDmJDtSMDVLJO2R3jjzyyEwZ0PTZOeec49y/9JkdhsAwIWAEcJh6097FEDAEokWA5A404yCDJJLgnhUZPPbYYzMRk24vqTq23JdkEUghVkBZBkOUvIsW3B4Nw32brnecRWsRV/6ZZ56Z3Hvvva7kmx2GwLAhYARw2HrU3scQMASiRwCyhqQM2cRIzPD/lKIjo5gEg6w6gMS1Uc0CV/CnPvUpRy6xfP3ud78b0RoEFMggcYOQwRBxiTEDDfmj7jPxmVj+spA/MrxPP/305Cc/+Uny5S9/OYjUT8xYWdvaiYARwHb2u721IWAIRIIACRsbN24cIYPEEM6YMcO5HKdMmeLcxv0OyN8LL7zgrH69so8hQ5BBZRTjNqb6CGTwz/7sz4LEJUYCp2sG70udZ2R0IH9ZCPWGDRucxe+HP/xhctZZZxn5i6ljrS1BETACGBROu5khYAgYAvkRgJht2bJlpCQdbtzp06c7MsjvTumX9957zyV87L///j3JX2drIEf/9V//NaI1iPURMoh1kPrEvqLI+d+y3Ct5vx07diT/8R//4chfFiHtzZs3u1q+N954Y3L++ecb+Su3q+zuNSNgBLDmDrDHGwKGgCHQDQFcuNu3bx8hg5SnwyIIGcRCCIk78cQTE+IHb7/99lwuXcgSZehUku5//ud/HAlUfeKmaQfyPq+99poT7M5K/rZt2+Zc8N/97neTCy64wMiffZZDj4ARwKHvYntBQ8AQaDoCkMGXX37ZuYmRl3njjTeSP/3TP3WVSH7+8587C17RknSQJ9zPchOTNfvnf/7nzk3M/f/wD/8wahhp/86dO10mNORvkOs8/TLUBCYG88orr0wuuuiiwlhGDZQ1zhD4PwSMANpQMAQMAUOgQQi8++67rgwZiRwQQ2LdJk+e7KxXkBgseEXJIHBAAFWSDmJIrKAyirMkVFQBLeRv165drr1Zyd9vfvOb5KSTTkouvfTS5LLLLguCXRXvbM8wBIoiYASwKIJ2vSFgCBgCFSHwzjvvuCxhCN9dd93lyMrrr7/uLIMIFhMPeMwxxzgyiPg01rsQZBA9Q7mJyarF+igymCXGrgyYIH+7d+9O3n//fUf+stRLhjzjTl+4cKGz/oXAqox3tHsaAmUgYASwDFTtnoaAIWAIBEYAy9+kSZNcHOCdd975kZg/iNCbb745EjP4/PPPJ+PHj3dkkB8SRUIQHOIEZRkkDvGP//iPR0rSZXG7hoIH8kd8JORvUH3k9DNxF0P+vvrVr7q4vxDYhHonu48hUAUCRgCrQNmeYQgYAoZAQQRI1rjnnnuSCy+8cGDCB2QQwki8ID+bNm1yJdBIIIEMjho1KgjhQdyamDusg8jM7LPPPiOWwSxkLC80xELynlnJH6QR8ofG3w033DAQz7zts+sMgZgRMAIYc+9Y2wwBQ8AQKIgAZPCDDz5wLmKqkKBzh16gyOBf/MVfBCGD6BFCBrEOkoULAZTwNP8d2sKGtfPtt9925O9jH/uYN0pvvfWWy57m/W+55RYjf97I2YnDhoARwGHrUXsfQ8AQMAR6IAAZRFuQ6iOQwfXr1yeHHnroiJv4sMMOC0LU0BZUfWJ+EydIPCKEECthUTIIieMHqyb38z2wFqKnyM8dd9xh5M8XODtvKBEwAjiU3WovZQgYAoZAfwRUHWT58uWODK5ZsyYZPXq0Sx6ZM2dOcsQRRwQhSFQ6wSKImxgySAaxLIPED2Ylg1j99uzZ48gf1/seJIlIN5EEmqYLXvu+t51nCPRCwAigjQ1DwBAwBAwBJyz9+OOPu5jB1atXJ/vtt98IGfzsZz8bhAxS6QQyiJsYdzEkTGSQzOJBZHDv3r1OA/Fzn/tc8id/8ifevQb5JOZv7NixyX333Wfkzxs5O3GYETACOMy9a+9mCBgChkAOBND9W7lypSOD/EYDcPbs2S5ubty4cUEIFBqGlGuDnEEGIX+SlkHj8A/+4A9+r+VI4JC8kZX8YXVE5w+L5gMPPJA0rbpJju6zSwwBLwSMAHrBZCcZAoaAIdBOBP77v/87efLJJ52bGAshOnu4iSGDRx11VBBCBRn8z//8zxGtQdzTqk9MNRJqHiP0DPnDUuh7QDBnzpyZHHLIIcmSJUuir2bi+152niEQAgEjgCFQtHsYAoaAIdACBNAAXLt2rSODxA7iwpVlkOokIcrFQf4ggypJR3Yx/3bwwQc7+Rrf2D3uQds+/vGPu/bGVr2kBcPFXjFyBIwARt5B1jxDwBAwBGJEgEzfp59+2lUhWbZsWcL/Q7jQGaRSyR/90R8VbjaWvx07djhrIBVIIIOUusNVzO9e7lzOxUKJtZCM57qrlRQGwm5gCJSAgBHAEkC1WxoChoAh0CYEyPTduHHjSEk66ggTdwcJO+GEE5I8FULQLqRU26c//ekENzBWQGITVZKO8nT8O2QQ6x6EkINzTj75ZEdAcVnneXab+s7etb0IGAFsb9/bmxsChoAhEBwBMn2fe+65kZJ0xOGhuwcZnDZtmle5NkjeK6+84sifiF1nQyF6uIlfeOGF5LzzznOC0GT64qLmWLFiRSaB6OBA2A0NgcgRMAIYeQdZ8wwBQ8AQaCoCJHds27ZthAzi0p06dapzE0PWuun44fLlvE996lPO9etzQBYXL17sXNHoBB577LHJaaed5vQM9913X59b2DmGQOsQMALYui63FzYEDAFDoHoEIIMvvfSScxMjL0MptylTpriMYjJ1idcjU5dax8QWHn744d6NpCbxGWec4YSmqZesRBUskRMmTEjmzp2bnH322Zm0A70fbicaAg1FwAhgQzvOmm0IGAKGQFMRIJ7vt7/97UjMIFY/JGW2bt2aXH/99cn8+fMHikLr3Uk+OfPMMxNEoiF+aBbqoPoHSSAQzoceeqinO7mpOFq7DYEiCBgBLIKeXWsIGAKGgCFQCAHI4L333pssWLDAWf1w5yIpg5uYrGJqCPeqEELyybnnnpvs3LkzWbdunbfLuFCD7WJDYEgQMAI4JB1pr2EIGAKGQBMRgLjhBv7JT36SfPnLX3Z1ftHtW7p0qYsfxDIIGeQHTT+RQZJNsBS++OKLyfr16x1RtMMQMAT8ETAC6I+VnWkIGAKGgCEQEIENGza4+L8f/ehHyVlnnfV7d8YySPk33Lf8bN682WX6yjJ40003uX8jXhBiaIchYAhkQ8AIYDa87GxDwBAwBAyBQAhA/Cgthxu33wEZJJ4PqyDWwWeeeSbZZ599kpdffjk58MADA7XGbmMItAsBI4Dt6m97W0PAEDAEGo0AZJC6wAhFT5o0qdHvYo03BOpEwAhgnejbsw0BQ8AQMAQMAUPAEKgBASOANYBujzQEDAFDwBAwBAwBQ6BOBIwA1om+PdsQMAQMAUPAEDAEDIEaEDACWAPo9khDwBAwBAwBQ8AQMATqRMAIYJ3o27MNAUPAEDAEDAFDwBCoAQEjgDWAbo80BAwBQ8AQMAQMAUOgTgSMANaJvj3bEDAEDAFDwBAwBAyBGhAwAlgD6PZIQ8AQMAQMAUPAEDAE6kTACGCd6NuzDQFDwBAwBAwBQ8AQqAEBI4A1gG6PNAQMAUPAEDAEDAFDoE4EjADWib492xAwBAwBQ8AQMAQMgRoQ+H8BuGb4FhyWswAAAABJRU5ErkJggg==\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib widget\n",
    "\n",
    "from src.robot_animation import RobotAnimation\n",
    "\n",
    "ani = RobotAnimation(robot=Robot(robot='youbot'))\n",
    "q_arrays = [y_pred_test[i], positions_test[i]]\n",
    "ani.draw_robot(q_arrays)\n",
    "i = i +1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d05944d",
   "metadata": {},
   "source": [
    "Erstellung einer Trajektorie zur Überprüfung des Outputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "179f05c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "start = np.array([169, 0, -20, -30, 0])\n",
    "\n",
    "y_qarr = []\n",
    "y_qarr.append(start)\n",
    "for i in range(26):\n",
    "    start = np.copy(start)\n",
    "    if(start[0]-13)>=datahandler.robot.joint_limits[0][1]:\n",
    "        start[0] += -13\n",
    "    y_qarr.append(start)\n",
    "\n",
    "y_qarr = np.radians(np.asarray(y_qarr))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f22d18b1",
   "metadata": {},
   "source": [
    "So sollte es aussehen:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bf6c8408",
   "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(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.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",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * 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",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.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 icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib widget\n",
    "\n",
    "drawer = RobotAnimation(robot=Robot(robot='youbot'))\n",
    "\n",
    "drawer.draw_trajectory_robot(y_qarr)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7949f4e",
   "metadata": {},
   "source": [
    "Zu den erzeugten Gelenkwinkelstellungen muss noch der TCP generiert werden und dieser muss normalisiert und standardisiert werden."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "e3790aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DH Transformation: 0.01 Sekunden\n",
      "Euler Winkel: 0.00 Sekunden\n"
     ]
    }
   ],
   "source": [
    "arr_tcp = datahandler.calc_xyz_euler(y_qarr)\n",
    "arr_tcp = datahandler.normeuler(arr_tcp)\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(arr_tcp)\n",
    "arr_tcp = scaler.transform(arr_tcp)\n",
    "\n",
    "traj_pred = mor.predict(arr_tcp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1394aa89",
   "metadata": {},
   "source": [
    "Sieht nicht gerade schön aus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "197ee9ad",
   "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(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.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",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * 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",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.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 icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib widget\n",
    "\n",
    "drawer = RobotAnimation(robot=Robot(robot='youbot'))\n",
    "\n",
    "drawer.draw_trajectory_robot(traj_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e1b515f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.9.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}