05.Spatial correlations.ipynb

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  {
   "cell_type": "markdown",
   "id": "1157b059",
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   "source": [
    "# Correlations between model performance and geospatial features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbb73e80",
   "metadata": {},
   "source": [
    "The performances resulting from the CNN can be affected by several factors. Here, the most important are evaluated as an insight into other input variables that can provide additional information to feed the model and get higher accuracies. \n",
    "\n",
    "The incorporation of those variables or the affectations differs from well to well. Some can modify the groundwater levels in some wells but not in others. Here the influence of different locations is evaluated altogether."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "e5e97f28",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import libraries\n",
    "%matplotlib notebook\n",
    "import geopandas as gpd\n",
    "from scipy import stats\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "100984bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "patht=\"D:/Erasmus/Thesis/\"\n",
    "pathdat=patht+\"/data/\"\n",
    "\n",
    "pathshp=pathdat+\"/SHP/SHP2/\"\n",
    "pathrast=pathdat+\"/Raster/\"\n",
    "pathpick=pathdat+\"/Pickle/\"\n",
    "pathfig=patht+\"/Figures/\"\n",
    "\n",
    "path=r\"D:\\Erasmus\\Thesis\\Code\\08072022\\GW_forecasting_ML\\projections/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "d4fd98da",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import spatial information per well -- results of the Accuracy_plot script\n",
    "gw_sel_int=gpd.read_file(\"D:/Data/students/mariana/data/SHP/gw_sel_int.shp\")\n",
    "gw_sel_int['r2+NSE']=gw_sel_int['r2']+gw_sel_int['NSE']\n",
    "gw_sel_int['r2_2+NSE_2']=gw_sel_int['r2_2']+gw_sel_int['NSE_2']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0649bfcd",
   "metadata": {},
   "source": [
    "Create a list of wells with high model performance to use for projections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "92446752",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Select and save pdf with model performance above 0.6 NSE and 0.7 r2 -- the selection is done for the simulation with P and T only\n",
    "dfsel=gw_sel_int[['MEST_ID', 'r2','NSE','r2_2','NSE_2']]\n",
    "dfsel60=dfsel.loc[(dfsel['r2_2']>0.7) & (dfsel['NSE_2']>0.6)]\n",
    "dfsel60c=dfsel60['MEST_ID'].astype(str)\n",
    "dfsel60c.to_csv(path+'well_list60.txt',\n",
    "                index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8daa2bd7",
   "metadata": {},
   "source": [
    "## Make correlations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66a71e0b",
   "metadata": {},
   "source": [
    "Pearson, Spearmann and Kendall-tau correlation coefficients. Only significant coefficients (90% confidence interval) are considered. \n",
    "\n",
    "Small p-values correpond to strong evidence.In this case, a confidence interval of 0.1 is used. If p-values are below 0.1, then the correlation between both variables is statistically significant. The smaller the p-value, the less plausible is the null hypothesis, meaning that the alternative hypothesis ('the slope of the regression line is nonzero') is true."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "7904f1af",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Columns to perform the correlations\n",
    "lcol=[ \"FOK\",'ho4_30m_sd',  'ho4_30m_ds', 'ho4_30m_lp','dist_pww',\n",
    "      'dist_coast', 'imperv_buf', 'recharge_b', 'prop_211',\n",
    "       'prop_231', 'prop_312', 'prop_112', 'prop_311','geo_1011', \n",
    "         'geo_115','geo_114','geo_111', 'geo_1012',\n",
    "      'geo_1021','lai01_buff', 'lai06_buff', 'lai0106_bu']\n",
    "\n",
    "#Performance indicators r2, NSE (P,T,RH) and r_2,NSE_2 (P,T)\n",
    "perfor=['r2','NSE', 'r2_2', 'NSE_2','r2+NSE','r2_2+NSE_2']\n",
    "\n",
    "#Create dataframe to store the correlations\n",
    "lzero=np.zeros(len(lcol))\n",
    "d = {'variable': lcol, 'r2': lzero,'NSE':lzero, 'r2_2':lzero, 'NSE_2':lzero}\n",
    "dfrval = pd.DataFrame(data=d)\n",
    "dfslope= pd.DataFrame(data=d)\n",
    "pval=pd.DataFrame(data=d)\n",
    "spearm =pd.DataFrame(data=d)\n",
    "pvalspearm= pd.DataFrame(data=d)\n",
    "kendalltau= pd.DataFrame(data=d)\n",
    "pvalkendallt=pd.DataFrame(data=d)\n",
    "\n",
    "\n",
    "for p in perfor:\n",
    "    lslope, lrvalue, pvalue, spearv, pvalspearv, kendv,pvalkend= [],[],[],[],[],[],[]\n",
    "    for col in lcol:\n",
    "        \n",
    "        #Restrict values bellow 9 km \n",
    "        if col== 'dist_pww':\n",
    "            sortdf=gw_sel_int.sort_values(by=col).dropna(subset=[col])[:90]\n",
    "        \n",
    "        #Restricted distance to coastline to 25 km\n",
    "        elif col== 'dist_coast':\n",
    "            sortdf=gw_sel_int.sort_values(by=col).dropna(subset=[col])[:50]\n",
    "  \n",
    "        else:    \n",
    "            sortdf=gw_sel_int.sort_values(by=col).dropna(subset=[col])\n",
    "\n",
    "        slope, intercept, r_value, p_value, std_err = stats.linregress(sortdf[col], sortdf[p])\n",
    "        # add only the correlations that are statistically significant\n",
    "        lrvalue.append(round(r_value,2)) if p_value <= 0.1 else lrvalue.append(np.nan)\n",
    "        pvalue.append(round(p_value,2)) if p_value <= 0.1 else pvalue.append(0)\n",
    "        lslope.append(round(slope,2))\n",
    "        \n",
    "        #Spearman's rank correlation coefficient\n",
    "        spear, pvalspear=stats.spearmanr(sortdf[col], sortdf[p])\n",
    "        spearv.append(round(spear,2)) if pvalspear <= 0.1 else spearv.append(np.nan)\n",
    "        pvalspearv.append(pvalspear)\n",
    "        \n",
    "        #Kendall's tau \n",
    "        kendall, pvalkendall=stats.kendalltau(sortdf[col], sortdf[p])\n",
    "        kendv.append(round(kendall,2)) if pvalkendall <= 0.1 else kendv.append(np.nan)\n",
    "        pvalkend.append(pvalkendall)\n",
    "            \n",
    "    \n",
    "    \n",
    "    dfslope[p]=lslope\n",
    "    dfrval[p]=lrvalue\n",
    "    pval[p]=pvalue\n",
    "    \n",
    "    spearm[p]=spearv\n",
    "    pvalspearm[p]=pvalspearv\n",
    "    \n",
    "    kendalltau[p]=kendv\n",
    "    pvalkendallt[p]=pvalkend\n",
    "      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "91073422",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Select the correlation type dfrval means Pearson correlation, spearm is Spearman's Rank correlation coefficient\n",
    "corrsel=spearm.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "e625ee97",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a dictionary to change the codes to the proper name\n",
    "dictionary={\n",
    "            \"FOK\":'Filter depth', \n",
    "            'dist_pww':'Distance to water-works', \n",
    "            'ho4_30m_sd':'HO4_SD',\n",
    "            'ho4_30m_ds':'HO4_DSD', \n",
    "            'ho4_30m_lp': 'HO4_LP',\n",
    "            'dist_coast':'Distance to coastline', \n",
    "            'imperv_buf': 'Average Imperveousness', \n",
    "            'recharge_b':'Average long-term Recharge', \n",
    "            'prop_211':' Non-irrigated arable land',\n",
    "            'prop_231': 'Pastures ' , \n",
    "            'prop_312':'Coniferous forest' ,\n",
    "            'prop_112':' AS:Discontinuous urban fabric', \n",
    "            'prop_311':'Forest: Broad-leaved forest ',\n",
    "            'geo_1011':'Low Relief/ High SMI',\n",
    "            'geo_1012':'Low Relief/ Medium SMI',\n",
    "            'geo_114':'Sink areas/ Medium SMI',\n",
    "            'geo_115':'Sink areas/ Low SMI' ,\n",
    "            'geo_111':'Sink areas/ High SMI',\n",
    "            'geo_1021':'Moderate Relief/ low SMI',\n",
    "            'lai01_buff':'LAI Jan',\n",
    "            'lai06_buff' : 'LAI Jun',\n",
    "            'lai0106_bu':'LAI Jun-Jan'\n",
    "}\n",
    "\n",
    "corrsel[\"variables_d\"]=corrsel['variable'].map(dictionary)\n",
    "dfrvalc=corrsel.drop(['variable'],axis=1)\n",
    "\n",
    "pvalsel[\"variables_d\"]=pvalsel['variable'].map(dictionary)\n",
    "pvalc=pvalsel.drop(['variable'],axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e167870e",
   "metadata": {},
   "source": [
    "## Plot  the correlation coeficients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "5dae18c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfrvalcc=dfrvalc.copy()\n",
    "dfrvalcc.rename(columns={\"r2\": \"r$^2$ (RH)\", \"NSE\": \"NSE (RH)\",\n",
    "                         \"r2_2\":\"r$^2$\",\"NSE_2\":\"NSE\",\n",
    "                         \"r2+NSE\":\"r$^2$+NSE (RH)\",\"r2_2+NSE_2\":\"r$^2$+NSE\"}, inplace=True)\n",
    "dfcop=dfrvalcc[:].set_index('variables_d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "24f6636e",
   "metadata": {},
   "outputs": [
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       "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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "importlib.reload(plt); importlib.reload(sns) #to avoid seaborn style\n",
    "\n",
    "data1=dfcop[dfcop.columns[:-2]][:].dropna(how='all')\n",
    "data2=data1.loc[~data1[\"r$^2$ (RH)\"].isna()]\n",
    "data=data2.drop(index='LAI Jun-Jan')\n",
    "\n",
    "plt.figure(figsize=(8,5))\n",
    "cmap = sns.diverging_palette(20, 220, as_cmap=True)\n",
    "sns.heatmap(data, annot=True,cmap=cmap, center=0,  annot_kws={\"size\":8})\n",
    "plt.ylabel(' ')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3845f80d",
   "metadata": {},
   "source": [
    "## Scatter plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "id": "d7b81b5a",
   "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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f/Ob3ySBf+OXe2J9586di046AnpRRFIHENCldIRvhoAennHMI+RhE4/ND060jOFDywcBHR96BPQ6ysN1q5SAfsghh9juu+9uXbp0sZtvvjkJvQ8//HArcXfeeaedeOKJtmLFCuvUqdMmUtMG9G984xt2++23J18B1/L09I0D+i9/+Us79thjzT1lvb1x3MAtYz3zzDO21157lTXBCOhlYavaSQT0qqGvzsAE9Opwj2XUPGzisbho6RMnWsbwoeWDgI4PPQJ6HeXhulVqQJ8zZ459+ctfttNOOy15jsUuu+zSStz1119v5513nr3zzjvtCk0b0N98803bZ599krvh/+///b+k1sYB/Y9//KMdeOCBdscdd9jRRx9tdXV1Bf8xgICut7ZCdURAD0VWtC4BXVSMSFt52MRFUKduAyepUWVyID4ywVzSIDgpCVfwg/ERHHHJA+TBSakBfenSpeYCb3sv97bzkSNHJp8Rv/jiiysK6IsXL7af//zn9u1vf9teeeWV5DPtbT+Dfv7559vll19uvXv3tn333dc+8YlP2Mknn2yDBg1Kxm75xwD3/e719fWt+nG/h/sce7EXd9CLEdL6OQFdy0fwbgjowRFHPUAeNvHYBOFEyxg+tHy4bnCi5QQfWj7yskZKDeg77rijXXfddZvIcn8nH3roodavX7/kc+Abf77bvRXefT69henKlSutZ8+eG2oMHTrUnn/++eR/t3wG3QX0Xr16JW+jHz9+vF1yySWbBHR319z9o8Bvf/tbe/LJJ+0Xv/iFuQfXPfLII7bHHntsCOiun1133bVVzzvssEOqCUdAT4VJ5iACuoyKbBohoGfDOdZR+MNKzxxOtJzgQ8tHXsKHHvXCHbFG9GzlwUmpAd19lnvatGmtZC1btsw+/elPW48ePez+++/f8JnxloNcOF+3bl3yP91b191n2f/yl79sqOHCvAvpbQO6u2PuPtPuHkLnjncPhdv4Ke5t39a+du1aGzFiRPLW+BkzZvAZdL0lFbwjAnpwxFoDENC1fKh1k4dNXI15sX5wUoxQtj/HR7a804yGkzSUsjsGH9mxTjtSHpxUGtDd38cunHft2tUeeOCBJKR39Er7GXR3B90FdPdyb193wdu95b2jgO6OPeKII5KH2LmnyPOQuLQzvXaOI6DXjstUvwkBPRWm3B6Uh008Nrk40TKGDy0frhucaDnBh5aPvKyRSgK6u3P+qU99ytxb1mfOnNnqbesDBgxo9zPe5QR09xZ2948A7jV9+vTkM+4PPvhgEtg///nP20477ZRcz9yT3b/1rW/ZjTfemBzTMlZ7X7Pmwn/L0+E7mnm8xV1vXXbUEQE9Ll8Vd0tArxhhTRfgDys9vTjRcoIPPR+Njevtg6UfWL/+/dt9ArJWx7XfDWtEz3EenFQS0Fs+L96eOfed5MOGDdvkR+UEdFfEBfRf//rXdsMNNyTh271t/vvf/37yNW+vv/56cgfffT7+K1/5SvKWePdqGau9/m677bYk3Bd7EdCLEdL6OQFdy0fwbgjowRFHPUAeNvHYBOFEyxg+dHysa/6c5srlH9iq5ctt1eo1NnCLLaxbj57W0M53Fut0XfudsEb0HOfBSSkBXcGQc9LY2JjcnW/vq9V890hA9000bD0Celi+ctUJ6HJKpBrKwyYuBTxFMzhJASnDQ/CRIewOhlq3do29+9ab1tTUmLwldOXq1dajWzfr3rOX9f3YQEJ6FTWxRqoIv8DQeXBCQO943hHQ9dZlRx0R0OPyVXG3BPSKEdZ0gTxs4rEJxImWMXxU34cL5UveXZTcOXevjQO6uxO1+eAtrVv3j776qPod56sD1oie7zw4IaAT0PVWXvkdEdDLZxflmQT0KLVl1nQeNvHMYHoaCCeeQHoqgw9PICsos37dWlv4xmsumbcb0Htstpn1G7BFBSNwaiUEWCOV0Atzbh6cENAJ6GFWT3WqEtCrw71qoxLQq4Y+ioHzsIlHIWKjJnGiZQwf1fdBQK++g446YI3o+cmDEwI6AV1v5ZXfEQG9fHZRnklAj1JbZk3nYRPPDKangXDiCaSnMvjwBLKCMrzFvQJ4GZzKGskAcolD5MEJAZ2AXuKykD6cgC6tx39zBHT/TGupYh428dh84UTLGD40fPCQOA0P7XXBGtFzkwcnBHQCut7KK78jAnr57KI8k4AepbbMms7DJp4ZTE8D4cQTSE9l8OEJpIcym3zN2uDBzQ+H68ET3D2wraQEa6QSemHOzYMTAjoBPczqqU5VAnp1uFdtVAJ61dBHMXAeNvEoRGzUJE60jOFDz0dj43r7YOkH1q9//0y+T1iLgF43rBGcVIMAAZ2AXo15F2pMAnoosqJ1CeiiYkTa4g8rEREEdD0R/+iINaKnBidaTvCh5cN1kwcnBHQCut7KK78jAnr57KI8k4AepbbMms7DJp4ZTE8D4cQTSE9l8OEJpMcyOPEI00MpfHiA6LlEHpzEHtCvuuoqmzJlii1YsMCGDx9u06ZNs1GjRrU7Ex577DE799xz7cUXX7SVK1fa0KFD7Utf+pKdc845BWdOR3yUsoHnqR9tOQJ6tOrKa1xpEeZhwyjPUvXOwkn12BcaGSdaTvCh5SMvdwf1qBfuiDWiZysPTmIO6HfccYeddNJJ5kL6QQcdZNdee61df/319sILL9iQIUM2mVDPPPNMEs4//vGPW8+ePc0FdhfQr7jiCvviF7/Y7gQkoOuty446IqDH5avibgnoFSOs6QJ52MRjE4gTLWP40PJBQMeHHgG9jvJw3fIV0D9sarK1f51rjR8ssYbefa3L9rtaXX29d6nOSWNjozU0NNj+++9vI0eOtKuvvnrDOLvuuquNHTvWLr300lRjjxs3Lgnrt9xyCwE9FTHtgwjo2n68d0dA9460pgrmYROPTRhOtIzhQ8sHAR0fegT0OsrDdctHQF/13O9tyT03WdOS9zdIrO/b3/qOm2Dd99zPq9iWgO5CugvWd955px111FEbxjjrrLPs2WeftYcffrjouO6O+mc+8xm7+OKL7fTTTyegFyWmfwABXd+R1w4J6F5x1lyxPGzisUnDiZYxfGj5IKDjQ4+AXkd5uG5VGtBdOH//hqkF5fX/wte9hvSWgL5w4ULbeuutbfbs2XbggQduGP+SSy6xGTNm2Lx58wr25M575513bP369TZx4kS74IILCh7LW9z11mVHHRHQ4/JVcbcE9IoR1nSBPGzisQnEiZYxfGj5IKDjQ4+AXkd5uG5VEtDd29rfvujfW905b2uxoe/mNui7P/H2dve2Af3xxx+3Aw44YMOwkydPTt6u7j5rXuj1t7/9zZYvX25PPvmkfetb37Kf/OQndvzxx7d7OAFdb10S0ONyErRbAnpQvNEXz8MmHpsknGgZw4eWDwI6PvQI6HWUh+tWJQF9zV+et3d/8r2i4j721Qut647Dix6X5gCfb3F347m3t7tAX+iOOwE9jRWdY7iDruMik04I6JlgjnaQPGziscnBiZYxfGj5IKDjQ4+AXkd5uG5VEtBXzplti2/+UVFx/U7+D+ux90FFj0tzQNuHxO29997JU9xbXrvttpsdeeSRqR8SN2nSJPuv//ovmz9/frvDE9DTWNE5hoCu4yKTTgjomWCOdpA8bOKxycGJljF8aPkgoONDj4BeR3m4blUS0Kt5B909xb3la9auueaa5G3u06dPt+uuu86ef/755DvOzzvvPHvzzTft5ptvTibXlVdemXz92i677JL8b/c1a2effbZ97WtfS+6kt/cioOuty446IqDH5avibgnoFSOs6QJ52MRjE4gTLWP40PJBQMeHHgG9jvJw3aokoFfzM+guoNfV1SV3zy+//HJbsGCB7b777sl3mo8ePTqZTBMmTEjujM+aNSv53z/+8Y+T70p3n0Hv1KmTbb/99nbGGWck34VeX+Ar4QjoeuuSgB6Xk6DdEtCD4o2+eB428dgk4UTLGD60fBDQ8aFHQK+jPFy3Kgnozli1nuLeEtBDzxoCemjCfutzB90vT/lqBHR5RVVtMA+beFUBlzE4TsqAFvAUfASEW2ZpnJQJLtBp+AgEtoKyeXBSaUBvCeltvwfdPb29z7hTvH7FWss/LLrvQCegVzCxa/hUAnoNy23vVyOg50x4ib9uHjbxEpFU/XCcVF1BqwbwoeWj5Q/dpUuXWp8+fZK3ivKqLgHWSHX5tzd6Hpz4COjJ9aT5K9fW/nWuNX6wxBp697Uu2+/q7avVNnaz8UPisrhucQddb1121BEBPS5fFXdLQK8YYU0XyMMmHptAnGgZw4eWDwI6PvQI6HWUh+uWr4CelT0Celak4xyHgB6nt7K7JqCXjS4XJ+ZhE49NJE60jOFDywcBHR96BPQ6ysN1i4De8bzjDrreuuQOelxOgnZLQA+KN/riedjEY5OEEy1j+NDyQUDHhx4BvY7ycN0ioBPQ9VZe+R1xB718dlGeSUCPUltmTedhE88MpqeBcOIJpKcy+PAE0mMZnHiE6aEUPjxA9FwiD04I6AR0z8umquUI6FXFn/3gBPTsmcc0Yh428Zh8cHdQzxZrBCd6BLQ6Yo1o+cjLPkJAJ6DrrbzyOyKgl88uyjMJ6FFqy6xp/rDKDHXqgXCSGlUmB+IjE8wlDYKTknAFPxgfwRGXPEAenBDQCeglLwzhEwjownJCtEZAD0G1dmrmYROPzRZOtIzhQ8tHXu4O6lEv3BFrRM9WHpwQ0Anoeiuv/I4I6OWzi/JMAnqU2jJrOg+beGYwPQ2EE08gPZXBhyeQHsvgxCNMD6Xw4QGi5xJ5cEJAJ6B7XjZVLUdAryr+7AcnoGfPPKYR87CJx+SDu4N6tlgjONEjoNURa0TLR172kdgD+lVXXWVTpkyxBQsW2PDhw23atGk2atSogpNpzZo19r3vfc9++tOf2ttvv21bb721fec737EvfOEL7Z7D16zprcuOOiKgx+Wr4m4J6BUjrOkC/GGlpxcnWk7woeUjL+FDj3rhjlgjerby4CTmgH7HHXfYSSedZC6kH3TQQXbttdfa9ddfby+88IINGTKk3Ql15JFH2sKFC+3iiy+2HXbYwRYtWmTr16+3Aw88kICutwRL7oiAXjKyuE8goMftL3T3edjEQzP0XR8nvolWVg8flfELcTZOQlAtvyY+ymcX6sw8OPEV0D/8sMmaFi80W7PKrGt3q+83yOrq6r2rcU4aGxutoaHB9t9/fxs5cqRdffXVG8bZddddbezYsXbppZduMvZDDz1kn//85+2VV16x/v37p+qNO+ipMMkcRECXUZFNIwT0bDjHOkoeNvHY3OBEyxg+tHy4bnCi5QQfWj7yskZ8BPTGhfNt3Yu/bw7nKz+S2LWHdd5lP2sYNMyr2JaA7kJ6z5497c4777SjjjpqwxhnnXWWPfvss/bwww9vMu5XvvIVe+mll2yfffaxW265JTn/iCOOsEmTJln37t3b7ZOA7lVf8GIE9OCItQYgoGv5UOuGP6zUjBA+1IywRtSMsEbUjLBG1IzkY41UGtCTcP7c7wrK67znGK8hvSWgu7epu8+Pz549u9Xb0y+55BKbMWOGzZs3b5OeDjvsMJs1a5Z98pOftAsvvNDeffddc6H9E5/4hN1www0EdL0lWHJHBPSSkaU74ZFHHkke9jBnzpzkgQ8zZ85M3qrS8qqrq2u30OWXX27f+MY32v3ZTTfdZKeeeuomP1u1apV169YtVWME9FSYcnsQf1jpqceJlhN8aPlw3eBEywk+tHzkZY1UEtDd29rXPHJn6zvnbTV27WldRx/t7e3ubQP6448/bgcccMCGUSdPnpzcHX/xxRc3mVCHHnqoPfroo8nD4fr06ZP8/J577rGjjz7aVqxY0e5ddO6g663LjjoioAfy9eCDDyb/GuY+UzJ+/PhNArpbVBu/3PGnnXaavfzyy7bddtsVDOjuLS9t/zVtiy22SP1bENBTo8rlgfxhpacdJ1pO8KHlIy/hQ4964Y5YI3q28uCkkoDe+P4CW992h88AACAASURBVPfUQ0XFdd7nMGvoP7jocWkOqOQt7qecckqSMVxmaHnNnTvXdtttt+St7zvuuOMmLRDQ01jROYaAnoELd7e87R30tsO6u+vLli2z//3f/y3YkbuDfvbZZ9uSJUvK7pqAXja6XJyYh008NpE40TKGDy0fBHR86BHQ6ygP162KAvqCV2zd/236We+2JjvvcbA1DG7/Jlqp1ts+JG7vvfdOnuLe8nJh2z2pvb2HxE2fPj3JA+7J7b169UpOuffee23cuHG2fPly7qCXKkPweAJ6BlKKBfSWz5+4z5qccMIJHQb0008/3bbaaqvkyY977bVX8kCIESNGpP4tCOipUeXywDxs4rGJxYmWMXxo+SCg40OPgF5HebhuVRTQq3gH3T3FveVr1q655prkbe4ugF933XX2/PPP29ChQ+28886zN998026++eZkcrkQ7p7y7p7+ftFFFyWfQXf54OCDD07Oa+/FHXS9ddlRRwT0DHwVC+juc+eXXXaZvfXWWx1+lvzJJ59M3s6yxx57mAvaP/zhD+2BBx6w5557rt23s7hfbc2aNcl/LS933jbbbJPche/du3cGv33hIfKwYVQVcBmD46QMaIFPwUlgwCWWx0eJwDI4HCcZQC5hCHyUACujQ/PgxAXQ+fPn27Bhw1I/l6kFv/sM+tpH7yryGfQe1mWUv8+gu7FbvmbN/d/u7rl7dpV7btXuu+9uU6dOtdGjRyctuudPud/td7/76CF27rPp//Ef/5G81X3zzTe3Y445JvlO9I6e4l6Ij8sGffv2taVLl1Y9G2S0JOSHIaBnoKhYQN9ll13sU5/6lP34xz8uqZumpqbkM+5uAf/oRz9q99yJEycm/7rW9vXqq69WfRG6DcP9K6B7e06hh+aVBISDKyaAk4oRei+AE+9IKyqIj4rwBTkZJ0Gwll0UH2WjC3ZiHpysXbvW3nnnneSOc9oHJ28MvGnRa9b058Jvc6/f/WCrHzjEqyP3d3x9vf/vWG+vSfcPGO5v/wEDBliXLl1aHeICuuNGQPeqt6JiBPSK8KU7uaOA7p7C6AK2+67DPffcM13BjY4644wz7I033jD3kLn2XtxBLxlprk/Iw7+yxyYYJ1rG8KHlw3WDEy0n+NDykZc1Uskd9BZjjQtftfXzNv0e9E47u+9BH+pd7MZ30L0Xb1OwIz7cQQ9Nv/T6BPTSmZV8RkcBfcKECfbnP//ZnnrqqZLruk1w3333Td7yXuh7D9sW5TPoJWPO1Qn8YaWnGydaTvCh5SMv4UOPeuGOWCN6tvLgpJLPoG9szL3dvWnxwua3u68y69rd6vsN8vbVaq3H+XDDW9yzeBcpn0HXW5cddURAD+TLvXW75esP3EPc3GdJxowZY/3797chQ/7+FhkXlgcPHmw/+MEP7Mwzz9ykk5NPPjl5IFzLExzdW9XdAyHc1ye4c93b2t13JLrPn7ignuZFQE9DKb/H5GETj80uTrSM4UPLBwEdH3oE9DrKw3XLV0DPyp5z0nIHnYCeFfV4xiGgB3I1a9asJJC3fbnvLnRfl+ZeLV+T4B4I0adPn02OPeSQQ5KHXbQcf84559g999xj7jvU3fEu+LvPmLsnPqZ9EdDTksrncXnYxGMzixMtY/jQ8kFAx4ceAb2O8nDdIqB3PO+4g663LjvqiIAel6+KuyWgV4ywpgvkYROPTSBOtIzhQ8sHAR0fegT0OsrDdYuATkDXW3nld0RAL59dlGcS0KPUllnTedjEM4PpaSCceALpqQw+PIH0WAYnHmF6KIUPDxA9l8iDEwI6Ad3zsqlqOQJ6VfFnPzgBPXvmMY2Yh008Jh/cHdSzxRrBiR4BrY5YI1o+8rKPENAJ6Horr/yOCOjls4vyTAJ6lNoya5o/rDJDnXognKRGlcmB+MgEc0mD4KQkXMEPxkdwxCUPkAcnBHQCeskLQ/gEArqwnBCtEdBDUK2dmnnYxGOzhRMtY/jQ8pGXu4N61At3xBrRs5UHJwR0Arreyiu/IwJ6+eyiPJOAHqW2zJrOwyaeGUxPA+HEE0hPZfDhCaTHMjjxCNNDKXx4gOi5RB6cENAJ6J6XTVXLEdCrij/7wQno2TOPacQ8bOIx+eDuoJ4t1ghO9AhodcQa0fKRl30k9oB+1VVX2ZQpU8x99fLw4cNt2rRpNmrUqIKT6corr7Sf/OQnNn/+fBsyZIh95zvfsZNPPrng8XzNmt667KgjAnpcviruloBeMcKaLsAfVnp6caLlBB9aPvISPvSoF+6INaJnKw9OYg7od9xxh5100knmQvpBBx1k1157rV1//fX2wgsvJOG77evqq6+2c88916677jr7p3/6J/vDH/5gZ5xxht166632uc99rt0JSEDXW5cE9LicBO2WgB4Ub/TF87CJxyYJJ1rG8KHlg4CODz0Ceh3l4brlK6A7VqtWr7H16xutU6cG696tq9XV1XmX6sZpbGy0hoYG23///W3kyJHmgnfLa9ddd7WxY8fapZdeusnYBx54YBLk3R33ltfZZ59tTz31lD322GMEdO+2si/IHfTsmVd1RAJ6VfHLD56HTVxeQpsGcaJlDB9aPgjo+NAjoNdRHq5bPgL6suUrbdG7S2x9c3BueXVqDtADP9bXNuvVw6vYloDuQnrPnj3tzjvvtKOOOmrDGGeddZY9++yz9vDDD28y7t57722HH364TZo0acPPzjvvPPvBD35gK1assM6dO29yDnfQveoLXoyAHhyx1gAEdC0fat3kYRNXY16sH5wUI5Ttz/GRLe80o+EkDaXsjsFHdqzTjpQHJ5UGdBfO31r4XkGkWw7a3GtIbwnoCxcutK233tpmz55t7s54y+uSSy6xGTNm2Lx58zbp6dvf/rbdeOONdv/99yd33ufMmWOf/exnbdGiRfbWW2/Z4MGDCehpF4focQR0UTGh2iKghyJbG3XzsInHZgonWsbwoeXDdYMTLSf40PKRlzVSSUB3c/aVVxe0unPe1qK7k77d0MHe3u7eNqA//vjjdsABB2wYdvLkyXbLLbfYiy++uMmEWrVqlf37v/978nNXZ9CgQXbiiSfa5Zdfbi7wDxw4kICutwxL6oiAXhKu+A8moMfvMORvwB9WIemWVxsn5XELdRY+QpEtvy5OymcX4kx8hKBaWc08OKkkoK9ctdpef+udopC32XKA9ejerehxaQ6o5C3uLfXXrVuXBHJ3x3z69OnJg+OWLFli9fX1BPQ0EoSPIaALywnRGgE9BNXaqZmHTTw2WzjRMoYPLR+uG5xoOcGHlo+8rJFKAvoHy1bYgkXvFxU3eGB/671Zz6LHpTmgJaC3PCTOfa7cPcW95bXbbrvZkUce2e5D4tqrf/DBB9tWW22VPMm9vRefQU9jRecYArqOi0w6IaBngjnaQfjDSk8dTrSc4EPLR17Chx71wh2xRvRs5cFJJQG9mnfQXUBv+Zq1a665Jnmbu7sb7r5C7fnnn7ehQ4eaewDcm2++aTfffHMyuV566aXkq9X2228/W7x4sU2dOtX+53/+J/ks+rBhwwjoekuw5I4I6CUji/sEAnrc/kJ3n4dNPDRD3/Vx4ptoZfXwURm/EGfjJATV8mvio3x2oc7Mg5NKAno1P4PuArr7Gjd399x9hnzBggW2++672xVXXGGjR49OpsSECRNs/vz5NmvWrOR/z50710444YTkAXLuie1jxoyx73//+7bzzjsXnELcQQ+1usLUJaCH4SpblYAuq0aisTxs4hKgS2gCJyXAyuBQfGQAucQhcFIisMCH4yMw4DLK58FJJQHdIa3WU9xbAnoZWks6hYBeEq6qH0xAr7qCbBsgoGfLO7bR8rCJ4yQ2Alr9ska0fLhucKLlBB9aPvKyRioN6C0hPevvQSeg660XhY4I6AoWMuyBgJ4h7AiH4g8rPWk40XKCDy0feQkfetQLd8Qa0bOVByc+AnrL9WTV6jW2fn2jderUYN27dfX21Wobz4yNHxLn3uIe+sUd9NCE/dYnoPvlKV+NgC6vqKoN5mETryrgMgbHSRnQAp6Cj4BwyyyNkzLBBToNH4HAVlA2D058BfQKMJd0KgG9JFy5O5iAnjPlBPScCS/x183DJl4ikqofjpOqK2jVAD60fLTc8Vq6dKn16dMnyJ0uvd9YuyPWiJ6fPDghoHc877iDrrcuO+qIgB6Xr4q7JaBXjLCmC+RhE49NIE60jOFDywcBHR96BPQ6ysN1i4BOQNdbeeV3REAvn12UZxLQo9SWWdN52MQzg+lpIJx4AumpDD48gfRYBiceYXoohQ8PED2XyIMTAjoB3fOyqWo5AnpV8Wc/OAE9e+YxjZiHTTwmH9wd1LPFGsGJHgGtjlgjWj7yso8Q0Anoeiuv/I4I6OWzi/JMAnqU2jJrmj+sMkOdeiCcpEaVyYH4yARzSYPgpCRcwQ/GR3DEJQ+QBycEdAJ6yQtD+AQCurCcEK0R0ENQrZ2aedjEY7OFEy1j+NDykZe7g3rUC3fEGtGzlQcnBHQCut7KK78jAnr57KI8k4AepbbMms7DJp4ZTE8D4cQTSE9l8OEJpMcyOPEI00MpfHiA6LlEHpwQ0AnonpdNVcsR0KuKP/vBCejZM49pxDxs4jH54O6gni3WCE70CGh1xBrR8pGXfSTmgP7oo4/alClTbM6cObZgwQKbOXOmjR07tuBEuueee+zqq6+2Z5991tasWWPDhw+3iRMn2qc//emC5/A1a3rrsqOOCOhx+aq4WwJ6xQhrugB/WOnpxYmWE3xo+chL+NCjXrgj1oierTw4iTmgP/TQQzZ79mwbOXKkjR8/vmhAP/vss23LLbe0MWPGWN++fe3GG2+0//zP/7Tf//73NmLEiHYnIAFdb10S0ONyErRbAnpQvNEXz8MmHpsknGgZw4eWDwI6PvQI6HWUh+uWr4De9KHZwiVmq9aade9iNqivWX2df6fOSWNjozU0NFhd3UcDuP+72B309rpxd9GPO+44u/DCCwno/nVlXpE76Jkjr+6ABPTq8lcfPQ+buLqDtv3hRMsYPrR8ENDxoUdAr6M8XLd8BPT575j9/i9mK9d85LBHV7P9djQbNsCvV58BvampyYYNG2bf/OY37atf/SoB3a+qqlQjoFcFe/UGJaBXj30MI+dhE4/Bw8Y94kTLGD60fBDQ8aFHQK+jPFy3Kg3oLpz/7s+F3Y3Z3W9I9xnQ3efXL7vsMps7d64NHDiQgK63BEvuiIBeMrK4TyCgx+0vdPd52MRDM/RdHye+iVZWDx+V8QtxNk5CUC2/Jj7KZxfqzDw4qSSgu7e13/lE6zvnbV30bL6TfvQB/t7u7iug33bbbXb66afbvffea5/85CcLTiE+gx5qdYWpS0APw1W2KgFdVo1EY3nYxCVAl9AETkqAlcGh+MgAcolD4KREYIEPx0dgwGWUz4OTSgL6gsVmDz1bHOxhe5kN7lf8uDRH+AjoP//5z+3UU0+1O++80z772c92OCwBPY0VnWMI6DouMumEgJ4J5mgHycMmHpscnGgZw4eWD9cNTrSc4EPLR17WSCUB/ZWFZg+/UNzbwbuZbTeo+HFpjqg0oLs751/4whfM/b8dfSVbSy8E9DRWdI4hoOu4yKQTAnommKMdhD+s9NThRMsJPrR85CV86FEv3BFrRM9WHpxUEtCrfQd9xYoV9vLLLycTx31N2tSpU5OvUOvfv78NGTLEzjvvPHvzzTft5ptvTo5xofzkk0+2H/7whzZu3LgNE6579+7Wp0+fdicgAV1vXXbUEQE9Ll8Vd0tArxhhTRfIwyYem0CcaBnDh5YPAjo+9AjodZSH61YlAb3an0F/+OGHk0De9nXKKafYTTfdZBMmTLD58+fbrFmzkkMOOeQQc+cUOr69GUhA11uXBPS4nATtloAeFG/0xfOwiccmCSdaxvCh5YOAjg89Anod5eG6VUlAd8ZUnuIeavYQ0EORDVOXO+hhuMpWJaDLqpFoLA+buAToEprASQmwMjgUHxlALnEInJQILPDh+AgMuIzyeXBSaUBvCeltvwfdPb193wy/B70MvalOIaCnwiRzEAFdRkU2jRDQs+Ec6yh52MRjc4MTLWP40PLhusGJlhN8aPnIyxrxEdAdK/d294VLzFatNevexWxQX39frbbxzCj0kLhQs4eAHopsmLoE9DBcZasS0GXVSDTGH1YSGlo1gRMtJ/jQ8pGX8KFHvXBHrBE9W3lw4iugZ2WPgJ4V6TjHIaDH6a3srgnoZaPLxYl52MRjE4kTLWP40PJBQMeHHgG9jvJw3SKgdzzvuIOuty476oiAHpevirsloFeMsKYL5GETj00gTrSM4UPLBwEdH3oE9DrKw3WLgE5A11t55XdEQC+fXZRnEtCj1JZZ03nYxDOD6WkgnHgC6akMPjyB9FgGJx5heiiFDw8QPZfIgxMCOgHd87KpajkCelXxZz84AT175jGNmIdNPCYf3B3Us8UawYkeAa2OWCNaPvKyjxDQCeh6K6/8jgjo5bOL8kwCepTaMmuaP6wyQ516IJykRpXJgfjIBHNJg+CkJFzBD8ZHcMQlD5AHJwR0AnrJC0P4BAK6sJwQrRHQQ1CtnZp52MRjs4UTLWP40PKRl7uDetQLd8Qa0bOVBycEdAK63sorvyMCevnsojyTgB6ltsyazsMmnhlMTwPhxBNIT2Xw4QmkxzI48QjTQyl8eIDouUQenBDQCeiel01VyxHQq4o/+8EJ6Nkzj2nEPGziMfng7qCeLdYITvQIaHXEGtHykZd9JOaA/uijj9qUKVNszpw5tmDBAps5c6aNHTu24ESaNWuWjRkzZpOfz50713bZZZd2z+Nr1vTWZUcdEdDj8lVxtwT0ihHWdAH+sNLTixMtJ/jQ8pGX8KFHvXBHrBE9W3lwEnNAf+ihh2z27Nk2cuRIGz9+fOqAPm/ePOvdu/eGCTdgwABraGggoOstwZI7IqCXjCzuEwjocfsL3X0eNvHQDH3Xx4lvopXVw0dl/EKcjZMQVMuviY/y2YU6Mw9OfAX0pqYPbd6ra23Jsibru1m97Ty0i9XX13lX45w0NjYmgbqu7qP67v9Oewd98eLF1rdv31S9cQc9FSaZgwjoMiqyaYSAng3nWEfJwyYemxucaBnDh5YP1w1OtJzgQ8tHXtaIj4D+1Aur7acPfGCLP2jaILFf73o78fDets9u3byK9RHQhw0bZu733m233ez8889v923vLU0T0L3qC16MgB4csdYABHQtH2rd8IeVmhHCh5oR1oiaEdaImhHWiJqRfKyRSgO6C+c/vn1JQXlf+3xfryG9koDu3tr+yCOP2N57721r1qyxW265xa655hpzn00fPXp0u78DAV1vXXbUEQE9Ll8Vd0tArxhhTRfgDys9vTjRcoIPLR95uTuoR71wR6wRPVt5cFJJQHdva//61Hda3Tlva7F/8530H3x9gLe3u1cS0NubYZ/73OeSt8rfd999BHS9JVhyRwT0kpHFfQIBPW5/obvPwyYemqHv+jjxTbSyeviojF+Is3ESgmr5NfFRPrtQZ+bBSSUBfe7f1thlNy4uiv9bp/azXbftWvS4NAf4DuiTJ0+2n/70p+ae5N7eizvoaazoHENA13GRSScE9EwwRztIHjbx2OTgRMsYPrR8uG5wouUEH1o+8rJGKgnoT/xplV1z19Ki4s48uo8d8PHuRY9Lc4DvgH700Ufb+++/b7/97W8J6GkEiB9DQBcX5Ls9ArpvorVVjz+s9HziRMsJPrR85CV86FEv3BFrRM9WHpxUEtCrfQd9xYoV9vLLLycTZ8SIETZ16tTkgW/9+/e3IUOG2HnnnWdvvvmm3Xzzzckx06ZNM/eAuOHDh9vatWuTO+eXXXaZ3X333TZu3DgCut4SLLkjAnrJyOI+gYAet7/Q3edhEw/N0Hd9nPgmWlk9fFTGL8TZOAlBtfya+CifXagz8+CkkoBe7c+gP/zww+0+gf2UU06xm266ySZMmGDz589PHgLnXpdffrlNnz49Ce3du3dPgroL8YcffnjBKcRb3EOtrjB1CehhuMpWJaDLqpFoLA+buAToEprASQmwMjgUHxlALnEInJQILPDh+AgMuIzyeXBSSUB3SFWe4l6G3lSnENBTYZI5iIAuoyKbRgjo2XCOdZQ8bOKxucGJljF8aPlw3eBEywk+tHzkZY1UGtBbQnrb70F3T2//twy/Bz3U7CGghyIbpi4BPQxX2aoEdFk1Eo3xh5WEhlZN4ETLCT60fOQlfOhRL9wRa0TPVh6c+Ajozpx7u/u8V9fakmVN1nezett5aBdvX6228cwo9JC4ULOHgB6KbJi6BPQwXGWrEtBl1Ug0lodNXAJ0CU3gpARYGRyKjwwglzgETkoEFvhwfAQGXEb5PDjxFdDLwFvWKQT0srDl5iQCem5U//0XJaDnTHiJv24eNvESkVT9cJxUXUGrBvCh5cN1gxMtJ/jQ8pGXNUJA73jecQddb1121BEBPS5fFXdLQK8YYU0X4A8rPb040XKCDy0feQkfetQLd8Qa0bOVBycEdAK63sorvyMCevnsojyTgB6ltsyazsMmnhlMTwPhxBNIT2Xw4QmkxzI48QjTQyl8eIDouUQenLQEdPf94O6rx9RfWb/FfdWqVclXtW277bbWrVu3VniUsoG6t6z6I6BnRVpkHKVFmIcNQ0R76jZwkhpVZgfiJDPUqQbCRypMmR6Ek0xxFx0MH0URZX5AHpw0NjbaSy+9ZAMHDrTNN988c8alDph1QH/vvfds0aJFttNOO1lDQwMBvVRhGR9PQA8E/JFHHrEpU6bYnDlzbMGCBTZz5kwbO3bshtEmTJhgM2bMaDX6fvvtZ08++WSHHd199912wQUX2F//+lfbfvvtbfLkyXbUUUel/i0I6KlR5fLAPGzisYnFiZYxfGj5cN3gRMsJPrR85GmNuL+3lyxZkoT0Hj16WF1dnZ6Mf3SUVUB346xcuTIJ53379rXBgwdvwkQpG8gKy7gxAnog4A8++KDNnj3bRo4caePHj283oC9cuNBuvPHGDR106dLF+vfvX7CjJ554wkaNGmWTJk1KQrkL/RdeeKE99thj5sJ9mpfSImQTT2Ms22Nwki3vNKPhJA2l7I7BR3as046Ek7SksjkOH9lwLmWUvDhxv+fbb7+dhPQYXk1NTc1f4VafSasunG+xxRbt/qOFUjbIBEYEgxDQM5Dk/gWvvTvo7gLyi1/8InUHxx13XPIUdhf+W16HHXaY9evXz2677bZUdZQWYV42jFRiRA7CiYiIjdrAiZYTfGj5cN3gRMsJPrR85HGNuLe7r1u3Tk9Em7192bJlttlmmwW/09+5c+dN3ta+MRylbCAtLcPmCOgZwC4U0F04d3fN3b9qHXzwwcnb1d3bcgq9hgwZYuecc07yX8vriiuusGnTptmrr76a6jdRWoRs4qmUZXoQTjLFnWownKTClNlB+MgMdeqBcJIaVSYH4iMTzCUNgpOScGVysJITpWyQCfwIBiGgZyCpvYD+85//3Hr16mVDhw61v/3tb8nnytevX598Zr1r167tduXC/E033WQnnHDChp/feuutduqpp9qaNWvaPcf9/2/8M7cIt9lmm+TtP717987gty88hNLFqaoghAbHiZCMf7SCEy0n+NDy4brBiZYTfGj5YI3o+VBz4rKBu1m4dOnSqmcDTVvZd0VAz4B5ewG97bDuwRYurN9+++02bty4ggHdPVju+OOP3/Dzn/3sZ3baaaeZ+3qJ9l4TJ060iy66aJMfuTvuCgF9+fLlyT9UKD/II4MpIjOE+8MKJzI6kkZwgg8tAnrdsEa0nOBDywf7iJ4PNScuoLsMQkDXmSsE9AxcpAnoro0dd9zRTj/9dDv33HPb7aqct7hzBz0DwTU0BHc+9GTiRMsJPrR8tPyh6/6w7NOnD//YK6CHNSIgoU0LOMFJRwS4g643PwjoGThJE9Dd9xNutdVWNn36dDv55JPb7co9JM49UOKBBx7Y8PPPfOYzydtSeEhcBiJzMASbuJ5knGg5wYeWDwI6PvQI6HXEdQsnxQK6+wdO7qDrzBMCeiAX7m3CL7/8clJ9xIgRNnXqVBszZkzyNWruP/fWc/f1a+77COfPn2/f/va37bXXXrO5c+cmT3R0LxfUXWi/9NJLk//9+OOP2+jRo5OHyR155JF277332vnnn8/XrAVymMeybOJ61nGi5QQfWj4I6PjQI6DXEdctnBDQ9eZARx0R0AP5mjVrVhLI275OOeUUu/rqq23s2LH2zDPPJA9rcyHdHeu+39w9wK3ldcghh9iwYcOSB8O1vO66664klL/yyiu2/fbbJ2G90GfW2/vVlJ7UyIYRaPJVUBYnFcALdCpOAoEtsyw+ygQX8DScBIRbRml8lAEt8Ck4CQy4jPJKTpSyQRkoa/IUAnpNai38SyktQqWLU86mQcFfFyd6MwEnWk7woeXDdYMTLSf40PLBGtHzoeZEKRto2sq+KwJ69syrOqLSImQTr+pUaHdwnOBEj4BWR6wRLR9qf+jq0cm+I9ZI9syLjYiTYoSy/7mSE6VskL0JzREJ6JpegnWltAiVLk7BgEdWGCd6wnCi5QQfWj4I6PjQI6DXEdctnHREQCkb6JmqTkcE9Opwr9qoSouQDaNq06DgwDjBiR4BrY5YI1o+COj40COg1xHXLZwQ0PXmQEcdEdDj8lVxtwT0ihHWdAE2cT29ONFygg8tHwR0fOgR0OuI6xZOCOh6c4CAHpeToN0S0IPijb44m7ieQpxoOcGHlg8COj70COh1xHULJwR0vTlAQI/LSdBuCehB8UZfnE1cTyFOtJzgQ8sHAR0fegT0OuK6hRMCut4cIKDH5SRotwT0oHijL84mrqcQJ1pO8KHlg4CODz0Ceh1x3cIJAV1vDhDQ43IStFsCelC80RdnE9dTiBMtJ/jQ8kFAx4ceAb2OuG7hF725gQAAIABJREFUhICuNwcI6HE5CdotAT0o3uiLs4nrKcSJlhN8aPkgoONDj4BeR1y3cEJA15sDBPS4nATtloAeFG/0xdnE9RTiRMsJPrR8ENDxoUdAryOuWzghoOvNAQJ6XE6CdktAD4o3+uJs4noKcaLlBB9aPgjo+NAjoNcR1y2cEND15gABPS4nQbsloAfFG31xNnE9hTjRcoIPLR8EdHzoEdDriOsWTgjoenOAgB6Xk6DdEtCD4o2+OJu4nkKcaDnBh5YPAjo+9AjodcR1CycEdL05QECPy0nQbgnoQfFGX5xNXE8hTrSc4EPLBwEdH3oE9DriuoUTArreHCCgx+UkaLcE9KB4oy/OJq6nECdaTvCh5YOAjg89Anodcd3CCQFdbw4Q0ONyErRbAnpQvNEXZxPXU4gTLSf40PJBQMeHHgG9jrhu4YSArjcHCOhxOQnaLQE9KN7oi7OJ6ynEiZYTfGj5IKDjQ4+AXkdct3BCQNebAwT0uJwE7ZaAHhRv9MXZxPUU4kTLCT60fBDQ8aFHQK8jrls4IaDrzQECelxOgnZLQA+KN/ribOJ6CnGi5QQfWj4I6PjQI6DXEdctnBDQ9eYAAT0uJ0G7JaAHxRt9cTZxPYU40XKCDy0fBHR86BHQ64jrFk4I6HpzgIAel5Og3RLQg+KNvjibuJ5CnGg5wYeWDwI6PvQI6HXEdQsnBHS9OUBAj8tJ0G4J6EHxRl+cTVxPIU60nOBDywcBHR96BPQ64rqFEwK63hwgoMflJGi3BPSgeKMvziaupxAnWk7woeWDgI4PPQJ6HXHdwgkBXW8OENDjchK0WwJ6ULzRF2cT11OIEy0n+NDyQUDHhx4BvY64buGEgK43BwjocTkJ2i0BPSje6IuziespxImWE3xo+SCg40OPgF5HXLdwQkDXmwME9LicBO2WgB4Ub/TF2cT1FOJEywk+tHwQ0PGhR0CvI65bOCGg680BAnpcToJ2S0APijf64mziegpxouUEH1o+COj40COg1xHXLZwQ0PXmAAE9LidBuyWgB8UbfXE2cT2FONFygg8tHwR0fOgR0OuI6xZOCOh6c4CAHpeToN0S0IPijb44m7ieQpxoOcGHlg8COj70COh1xHULJwR0vTlAQI/LSdBuCehB8UZfnE1cTyFOtJzgQ8sHAR0fegT0OuK6hRMCut4cIKDH5SRotwT0oHijL84mrqcQJ1pO8KHlg4CODz0Ceh1x3cIJAV1vDhDQ43IStFsCelC80RdnE9dTiBMtJ/jQ8kFAx4ceAb2OuG7hhICuNwcI6HE5CdotAT0o3uiLs4nrKcSJlhN8aPkgoONDj4BeR1y3cEJA15sDBPS4nATtloAeFG/0xdnE9RTiRMsJPrR8ENDxoUdAryOuWzghoOvNAQJ6XE6CdktAD4o3+uJs4noKcaLlBB9aPgjo+NAjoNcR1y2cEND15gABPS4nQbsloAfFG31xNnE9hTjRcoIPLR8EdHzoEdDriOsWTgjoenOAgB6Xk6DdEtCD4o2+OJu4nkKcaDnBh5YPAjo+9AjodcR1CycEdL05QECPy0nQbgnoQfFGX5xNXE8hTrSc4EPLBwEdH3oE9DriuoUTArreHCCgx+UkaLcE9KB4oy/OJq6nECdaTvCh5YOAjg89Anodcd3CCQFdbw4Q0ONyErRbAnpQvNEXZxPXU4gTLSf40PJBQMeHHgG9jrhu4YSArjcHCOhxOQnaLQE9KN7oi7OJ6ynEiZYTfGj5IKDjQ4+AXkdct3BCQNebAwT0uJwE7ZaAHhRv9MXZxPUU4kTLCT60fBDQ8aFHQK8jrls4IaDrzQECelxOgnZLQA+KN/ribOJ6CnGi5QQfWj4I6PjQI6DXEdctnBDQ9eYAAT0uJ0G7JaAHxRt9cTZxPYU40XKCDy0fBHR86BHQ64jrFk4I6HpzgIAel5Og3RLQg+KNvjibuJ5CnGg5wYeWDwI6PvQI6HXEdQsnBHS9OUBAj8tJ0G4J6EHxRl+cTVxPIU60nOBDywcBHR96BPQ64rqFEwK63hwgoMflJGi3BPSgeKMvziaupxAnWk7woeWDgI4PPQJ6HXHdwgkBXW8OENDjchK0WwJ6ULzRF2cT11OIEy0n+NDyQUDHhx4BvY64buGEgK43BwjocTkJ2i0BPSje6IuziespxImWE3xo+SCg40OPgF5HXLdwQkDXmwME9LicBO2WgB4Ub/TF2cT1FOJEywk+tHwQ0PGhR0CvI65bOCGg680BAnpcToJ2S0APijf64mziegpxouUEH1o+COj40COg1xHXLZwQ0PXmAAE9LidBuyWgB8UbfXE2cT2FONFygg8tHwR0fOgR0OuI6xZOCOh6c4CAHpeToN0S0IPijb44m7ieQpxoOcGHlg8COj70COh1xHULJwR0vTlAQI/LSdBuCehB8UZfnE1cTyFOtJzgQ8sHAR0fegT0OuK6hRMCut4cIKDH5SRotwT0oHijL84mrqcQJ1pO8KHlg4CODz0Ceh1x3cIJAV1vDhDQ43IStFsCelC80RdnE9dTiBMtJ/jQ8kFAx4ceAb2OuG7hhICuNwcI6HE5CdotAT0o3uiLs4nrKcSJlhN8aPkgoONDj4BeR1y3cEJA15sDBPS4nATtloAeFG/0xdnE9RTiRMsJPrR8ENDxoUdAryOuWzghoOvNAQJ6XE6CdktAD4o3+uJs4noKcaLlBB9aPgjo+NAjoNcR1y2cEND15gABPS4nQbsloAfFG31xNnE9hTjRcoIPLR8EdHzoEdDriOsWTgjoenOAgB6Xk6DdEtCD4o2+OJu4nkKcaDnBh5YPAjo+9AjodcR1CycEdL05QECPy0nQbgnoQfFGX5xNXE8hTrSc4EPLBwEdH3oE9DriuoUTArreHCCgx+UkaLcE9KB4oy/OJq6nECdaTvCh5YOAjg89Anodcd3CCQFdbw4Q0ONyErRbAnpQvNEXZxPXU4gTLSf40PJBQMeHHgG9jrhu4YSArjcHCOhxOQnaLQE9KN7oi7OJ6ynEiZYTfGj5IKDjQ4+AXkdct3BCQNebAwT0Kjh55JFHbMqUKTZnzhxbsGCBzZw508aOHZt0sm7dOjv//PPtgQcesFdeecX69Oljn/zkJ+2yyy6zLbfcsmC3N910k5166qmb/HzVqlXWrVu3VL8lAT0VptwexCaupx4nWk7woeWDgI4PPQJ6HXHdwgkBXW8OENCr4OTBBx+02bNn28iRI238+PGtAvrSpUvt6KOPtjPOOMP23HNPW7x4sZ199tm2fv16e+qppzoM6GeddZbNmzev1TFbbLFF6t+QgJ4aVS4PZBPX044TLSf40PJBQMeHHgG9jrhu4YSArjcHCOhVdlJXV9cqoLfXzh//+Efbd9997dVXX7UhQ4a027G7g+6C/JIlS8r+jQjoZaPLxYls4nqacaLlBB9aPgjo+NAjoNcR1y2cEND15gABvcpO0gT03/zmN3booYcm4bt3794FA/rpp59uW221lTU2Ntpee+1lkyZNshEjRhT8DdesWWPuv5aXC+jbbLNNh+NkhYsNIyvS6cfBSXpWWR2Jk6xIpxsHH+k4ZXkUTrKkXXwsfBRnlPUROMmaePHxlJy4bNC3b19z7/AtlEGK/0Yc4ZNAXfME+dBnQWptSqBYQF+9erX98z//s+2yyy7205/+tCDCJ5980l5++WXbY489zC2mH/7wh8nn2J977jnbcccd2z1v4sSJdtFFF23yM3envtqL0E295cuXW69evcwx4lV9AjipvoO2HeBEywk+tHy4bnCi5QQfWj5YI3o+1Jy4TDF06FACutBUIaBnIKOjgO4eGHfMMcfYa6+9ZrNmzSopNDc1NSWfcR89erT96Ec/avc34Q56BoJraAilf9GtIawV/So4qQif95Px4R1pxQVxUjFCrwXw4RWnl2I48YLRaxElJ9xB96rWSzECuheMHRcpFNBdOD/22GOTJ7n/9re/tc0337zkbtyD5t544w1zD6VL8+Iz6Gko5fcYpQ0jvxZa/+Y40ZoJ+NDy0XInyr01030jCu/Gqr4f1kj1HbTtACc46YiAUjbQM1WdjgjoGXBvL6C3hPO//OUv9rvf/c4GDBhQcifuguseLOfe8n7DDTekOl9pEbJhpFKW6UE4yRR3qsFwkgpTZgfhIzPUqQfCSWpUmRyIj0wwlzQITkrClcnBSk6UskEm8CMYhIAeSJL7bLX7vLh7uYe4TZ061caMGWP9+/dPvuvcffXa008/bffff78NGjRoQxfu5126dEn+98knn5w8EO7SSy9N/rf7LPn++++ffN7cLSb3tvZbbrkl+To3F9TTvJQWodLFKQ27PByDEz3LONFygg8tH64bnGg5wYeWD9aIng81J0rZQNNW9l0R0AMxd58nd4G87euUU04x9+C2bbfdtt2R3d30Qw45JPmZ+3+HDRtm7uvV3Oucc86xe+65x95+++3krXwu+LtaBxxwQOrfQmkRsomn1pbZgTjJDHXqgXCSGlUmB+IjE8wlDYKTknAFPxgfwRGXPABOSkYW/AQlJ0rZIDj4SAYgoEciylebSotQ6eLki2/sdXCiZxAnWk7woeXDdYMTLSf40PLBGtHzoeZEKRto2sq+KwJ69syrOqLSImQTr+pUaHdwnOBEj4BWR6wRLR9qf+jq0cm+I9ZI9syLjYiTYoSy/7mSE6VskL0JzREJ6JpegnWltAiVLk7BgEdWGCd6wnCi5QQfWj4I6PjQI6DXEdctnHREQCkb6JmqTkcE9Opwr9qoSouQDaNq06DgwDjBiR4BrY5YI1o+COj40COg1xHXLZwQ0PXmQEcdEdDj8lVxtwT0ihHWdAE2cT29ONFygg8tHwR0fOgR0OuI6xZOCOh6c4CAHpeToN0S0IPijb44m7iOwsbGRnP/rW/+z31tY/9+/axTp046Dea0E9aInnicaDnBh5YP/hFLz4eaE6VsoGkr+664g54986qOqLQI2cSrOhXaHRwnGk7WrVtn77//vq1avTp5QvWqVausb9++NuBjH7POnTtrNJnTLlgjeuJxouUEH1o+1MKgHp3qdKS0TpSyQXVs6I1KQNdzErQjpUWodHEKCj2i4jipvix31/zdd99NwnnLH1YuoHfv3t26de1qAwcOtIaGhuo3mtMOWCN64nGi5QQfWj4I6Ho+1JwoZQNNW9l3RUDPnnlVR1RahGziVZ0K3EHXw590tHbtWntrwYIN3bXcQXcBva6uzgZvsYV1bQ7qvKpDgOtWdbh3NCpOtJzgQ8uHWhjUo1OdjpTWiVI2qI4NvVEJ6HpOgnaktAiVLk5BoUdUHCfVl7W6+c752wsXFgzog5rvoLuwzqs6BFgj1eFOQNfjXqgj1oieK5zgpCMCStlAz1R1OiKgV4d71UZVWoRsGFWbBgUHxkn1nXAHvfoOCIPaDtp2x3VLyxc+tHy4bnCCEwK63hzoqCMCely+Ku6WgF4xwpouwCZefb18Br36Dgjo2g4I6Np+2Ef0/OAEJwR0vTlAQI/LSdBuCehB8UZfnE1cQ6F7ivt7771nq9es4SnuGko2dMEaERPC3UE5IawROSXcQddTIuVEKRsIqqpKS9xBrwr26g2qtAjZxKs3DwqNjBMdJy3fgd64fv3fvwe9f3++B11AD2tEQEKbFnCi5QQfWj5cNzjBCXfQ9eYAd9DjchK0WwJ6ULzRF2cT11OIEy0n+NDyQfjAhx4BvY64buGEgK43BwjocTkJ2i0BPSje6IuziespxImWE3xo+SCg40OPgF5HXLdwQkDXmwME9LicBO2WgB4Ub/TF2cT1FOJEywk+tHwQ0PGhR0CvI65bOCGg680BAnpcToJ2S0APijf64mziegpxouUEH1o+COj40COg1xHXLZwQ0PXmAAE9LidBuyWgB8UbfXE2cT2FONFygg8tHwR0fOgR0OuI6xZOCOh6c4CAHpeToN0S0IPijb44m7ieQpxoOcGHlg8COj70COh1xHULJwR0vTlAQI/LSdBuCehB8UZfnE1cTyFOtJzgQ8sHAR0fegT0OuK6hRMCut4cIKDH5SRotwT0oHijL84mrqcQJ1pO8KHlg4CODz0Ceh1x3cIJAV1vDhDQ43IStFsCelC80RdnE9dTiBMtJ/jQ8kFAx4ceAb2OuG7hhICuNwcI6HE5CdotAT0o3uiLs4nrKcSJlhN8aPkgoONDj4BeR1y3cEJA15sDBPS4nATtloAeFG/0xdnE9RTiRMsJPrR8ENDxoUdAryOuWzghoOvNAQJ6XE6CdktAD4o3+uJs4noKcaLlBB9aPgjo+NAjoNcR1y2cEND15gABPS4nQbsloAfFG31xNnE9hTjRcoIPLR8EdHzoEdDriOsWTgjoenOAgB6Xk6DdEtCD4o2+OJu4nkKcaDnBh5YPAjo+9AjodcR1CycEdL05QECPy0nQbgnoQfFGX5xNXE8hTrSc4EPLBwEdH3oE9DriuoUTArreHCCgx+UkaLcE9KB4oy/OJq6nECdaTvCh5YOAjg89Anodcd3CCQFdbw4Q0ONyErRbAnpQvNEXZxPXU4gTLSf40PJBQMeHHgG9jrhu4YSArjcHCOhxOQnaLQE9KN7oi7OJ6ynEiZYTfGj5IKDjQ4+AXkdct3BCQNebAwT0uJwE7ZaAHhRv9MXZxPUU4kTLCT60fBDQ8aFHQK8jrls4IaDrzQECelxOgnZLQA+KN/ribOJ6CnGi5QQfWj4I6PjQI6DXEdctnBDQ9eYAAT0uJ0G7JaAHxRt9cTZxPYU40XKCDy0fBHR86BHQ64jrFk4I6HpzgIAel5Og3RLQg+KNvjibuJ5CnGg5wYeWDwI6PvQI6HXEdQsnBHS9OUBAj8tJ0G4J6EHxRl+cTVxPIU60nOBDywcBHR96BPQ64rqFEwK63hwgoMflJGi3BPSgeKMvziaupxAnWk7woeWDgI4PPQJ6HXHdwgkBXW8OENDjchK0WwJ6ULzRF2cT11OIEy0n+NDyQUDHhx4BvY64buGEgK43BwjocTkJ2i0BPSje6IuziespxImWE3xo+SCg40OPgF5HXLdwQkDXmwME9LicBO2WgB4Ub/TF2cT1FOJEywk+tHwQ0PGhR0CvI65bOCGg680BAnpcToJ2S0APijf64mziegpxouUEH1o+COj40COg1xHXLZwQ0PXmAAE9LidBuyWgB8UbfXE2cT2FONFygg8tHwR0fOgR0OuI6xZOCOh6c4CAHpeToN0S0IPijb44m7ieQpxoOcGHlg8COj70COh1xHULJwR0vTlAQI/LSdBuCehB8UZfnE1cTyFOtJzgQ8sHAR0fegT0OuK6hRMCut4cIKDH5SRotwT0oHijL84mrqcQJ1pO8KHlg4CODz0Ceh1x3cIJAV1vDhDQ43IStFsCelC80RdnE9dTiBMtJ/jQ8kFAx4ceAb2OuG7hhICuNwcI6HE5CdotAT0o3uiLs4nrKcSJlhN8aPkgoONDj4BeR1y3cEJA15sDBPS4nATtloAeFG/0xdnE9RTiRMsJPrR8ENDxoUdAryOuWzghoOvNAQJ6ESdf//rXbdKkSdazZ0975JFH7MADD7ROnTrFZTJltwT0lKByehibuJ54nGg5wYeWDwI6PvQI6HXEdQsnBHS9OUBAL+Kkc+fO9sYbb9igQYOsoaHBFixYYAMHDozLZMpuCegpQeX0MDZxPfE40XKCDy0fBHR86BHQ64jrFk4I6HpzgIBexMmOO+5oxx57rB166KE2ZswYmzlzpvXr16/ds0aPHh2X4TbdEtCj1he8eTbx4IhLHgAnJSMLegI+guItqzhOysIW7CR8BENbdmGclI0u2IlKTpSyQTDgkRWua54gH0bWs/d2f/GLX9iZZ55pixYtsrq6OiuExP2ssbHR+/hZFlRahEoXpywdKI+FEz07ONFygg8tH64bnGg5wYeWD9aIng81J0rZQNNW9l0R0Ddivnz5cuvdu7fNmzev4Fvc+/Tpk70ljyMqLUI2cY9iPZXCiSeQHsvgxCNMD6Xw4QGi5xI48Qy0wnL4qBBggNNxEgBqhSWVnChlgwqx1szpBPQ2Kh9++GE76KCDeEhcBlNc6eKUwa8bxRA40dOEEy0n+NDyoXYnSo9O9h2xRrJnXmxEnBQjlP3PlZwQ0LP3X2xEAnobQq+99lqHzIYMGVKMqfTPlRah0sVJWlqGzeEkQ9gph8JJSlAZHYaPjECXMAxOSoCVwaH4yAByiUPgpERgGRyu5EQpG2SAPoohCOhtNNXX1yefQy/04jPo/ua10sXJ328VdyWc6PnDiZYTfGj5cN3gRMsJPrR8sEb0fKg5IaDrzRECehsnzz33XKv/n3Xr1tkzzzxjU6dOtcmTJ9u4ceP0LJbQkdIiZBMvQVxGh+IkI9AlDIOTEmBlcCg+MoBc4hA4KRFY4MPxERhwGeVxUga0wKcoOVHKBoGxR1OegJ5S1X//93/blClTbNasWSnP0DxMaREqXZw0bWXfFU6yZ15sRJwUI5Ttz/GRLe80o+EkDaXsjsFHdqzTjoSTtKSyO07JiVI2yM6A9kgE9JR+/vKXv9hee+1lK1asSHmG5mFKi1Dp4qRpK/uucJI982Ij4qQYoWx/jo9seacZDSdpKGV3DD6yY512JJykJZXdcUpOlLJBdga0RyKgt/HjJunGL7eAFixYYBMnTrQXX3zRnn32WW2jRbpTWoRKF6eopXpsHiceYXoqhRNPID2VwYcnkB7L4MQjTA+l8NE+xBWrzVavs+bnHJl17/L3/7J64SQr0unHUXKilA3SE6ztIwnobfy295A4t4i22WYbu/322+2AAw6IekYoLUKli1PUUj02jxOPMD2VwoknkJ7K4MMTSI9lcOIRpodS+GgNcV2j2YLFZnP+arZyzd9/1ru72X47mX1sM7PmZxMHf+EkOOKSB1ByopQNSgZZoycQ0NuIdd+DvvHLBfYBAwbYDjvsUBPfja60CJUuTjW6vkv+tXBSMrLgJ+AkOOKSBsBHSbgyORgnmWBOPQg+WqNatNTsN83PH/6wDcGG5mB+2Aizvj1Toy37QJyUjS7YiUpOlLJBMOCRFSagRyas0naVFqHSxalSrrVyPk70TOJEywk+tHy4bnCi5QQfH/lYt97ssRfN3nq/fUe7bW2217Z/f9t7yBdOQtItr7aSE6VsUB7N2juLgN6O03nz5tmPf/xjmzt3bvKd6Lvssot99atfTf7f2F9Ki1Dp4hS7V1/948QXSX91cOKPpY9K+PBB0W8NnPjlWWk1fHxEcEXzW9p/9YzZqrXtUx3Q22zM7madO1VKvePzcRKWbznVlZwoZYNyWNbiOQT0NlbvuusuO/74422fffbZ8HnzJ5980v74xz/arbfeasccc0zU80BpESpdnKKW6rF5nHiE6akUTjyB9FQGH55AeiyDE48wPZTCx0cQ1zQ/FO63/2f2/vL2wW470Gz/5s+ih/4cOk48TGzPJZScKGUDz5ijLUdAb6Nuu+22sxNPPNG+973vtfrJd7/7XbvlllvslVdeSSX7kUceSb43fc6cOclT4GfOnGljx47dcK5bmBdddJFNnz7dFi9ebPvtt59deeWVNnz48A7r33333XbBBRfYX//6V9t+++1t8uTJdtRRR6XqyR2ktAiVLk6pAdb4gTjRE4wTLSf40PLhusGJlhN8tPbx2jtmj85t39Ghe5m5u+ihXzgJTbj0+kpOlLJB6SRr8wwCehuvPXr0sD/96U/JQ+E2frnvQd9zzz1t5cqVqWbCgw8+aLNnz7aRI0fa+PHjNwno3//+95NwfdNNN9lOO+1kF198sblQ795ev9lmzY/1bOf1xBNP2KhRo2zSpElJKHeh/8ILL7THHnssCfhpXkqLUOnilIZdHo7BiZ5lnGg5wYeWDwI6PvQItO5odfPb2+e+8ff/Wh4UV9/8mfN9mv/MHDYg/NvbWSOaM0RpL1HKBpq2su+KgN6G+eGHH568jf3UU09t9ZMbb7wx+Zq1X/3qVyVbcp9j3/gOuluUW265pZ199tl27rnnJvXWrFljgwYNMhfcv/SlL7U7xnHHHZfcAXfhv+V12GGHWb9+/ey2225L1ZfSIlS6OKWCl4ODcKInGSdaTvCh5YPwgQ89Apt2tLb5YXHuK9aWrPj729n79DDr1dWsoSGb7rluZcO5lFGUnChlg1IY1vKxBPRmu/fdd98Gx2+99VZyV/rYY4+1/fffP/n/d59Bv/POO5O3pJ955pklz4e2Ad29Td69Pf3pp5+2ESOav2PjH68jjzzS+vbtazNmzGh3jCFDhtg555yT/NfyuuKKK2zatGn26quvtnuOC/7uv5aXW4TuO92XLFlivXtn8L6qDmgpXZxKllqjJ+BETyxOtJzgQ8sHAR0fegT0OuK6hZOOCLhs4PLH0qVLq54N9ExVpyMCejN3913naV4uaDc2NqY5tNUxbQP6448/bgcddJC9+eabyZ30ltcXv/jFJGgXukvfpUuX5C3xJ5xwwoZz3IPr3N3+jUP4xoNPnDgx+YeFti83jkJAX758ufXq1St5Wj6v6hNwmzhOqu9h4w5wgg8tAnrdsEa0nOBDy0fLP2Kxt2t5UVonLqAPHTqUgC40RQjoGcgoFNDd3frBgwdv6OCMM86w119/3R566KF2u3IB3d1dd0+Zb3n97Gc/s9NOO81Wr17d7jncQc9AcA0Nwb+y68nEiZYTfGj5aAkf7s5Pnz59+MdeAT2sEQEJbVrACU46IsAddL35QUAv08kee+xhDzzwQPJ28WKvar7FvW1vSp8zYcMoNnOy/zlOsmdebEScFCOU7c/xkS3vNKPhJA2l7I7BR3as046Ek7SksjtOyYlSNsjOgPZIBPQy/bgnrT/33HPmvpat2KvQQ+LcZ8m/+c1vJqevXbvWBg4cWPQhccuWLUv+YaDl9ZnPfCb53AgPiStmgZ+nIaC0YaTpNw/H4ESeG2CkAAAgAElEQVTLMj60fLhucKLlBB9aPlgjej7UnBDQ9eYIAb1MJ8UCuvusz8svv5xUdw+Cmzp1qo0ZM8b69+9v7mFv7mntl156qbmnw++44452ySWX2KxZs1p9zdrJJ59sW221VXKce7nPro8ePTr5ejb3QLl7773Xzj//fL5mrUyHnLYpAf6w0psVONFygg8tH2p/6OrRyb4j1kj2zIuNiJNihLL/uZITAnr2/ouNSEAvRqjAz4sFdBe2XSBv+zrllFOSB725heke3nbttdfa4sWLk+8xv/LKK2333XffcMohhxxiw4YNS45ved11111JKG95ErwL6+PGjUv9WygtQqWLU2qANX4gTvQE40TLCT60fBDQ8aFHQK8jrls46YiAUjbQM1WdjgjoZXIvFtDLLBv8NKVFyIYRXHfJA+CkZGTBT8BJcMQlDYCPknBlcjBOMsGcehB8pEaV2YE4yQx16oGUnChlg9QAa/xAAnqZggnoZYLb6DSli1Plv01tVMCJnkecaDnBh5YP1w1OtJzgQ8sHa0TPh5oTArreHCGgl+mEgF4mOAJ65eACVuAPq4BwyyyNkzLBBToNH4HAVlAWJxXAC3AqPgJArbAkTioEGOB0JScE9ACCKyxJQG8DcP78+cnnvou9br311uRBbT179ix2qNTPlRah0sVJSlIVm8FJFeEXGBonWk7woeXDdYMTLSf40PLBGtHzoeZEKRto2sq+KwJ6G+b19fV24IEH2kknnWTHHHNM8tT1WnopLUI2cb2ZhROc6BHQ6og1ouVD7Q9dPTrZd8QayZ55sRFxUoxQ9j9XcqKUDbI3oTkiAb2Nl6effjr5TvHbb7/d3nnnHfv0pz9tJ554oh1xxBHWtWtXTYsldKW0CJUuTiUgrOlDcaKnFydaTvCh5YOAjg89Anodcd3CSUcElLKBnqnqdERAL8DdXczcV6W5t7Lffffd1tjYaOPHj7cbbrihOqY8jaq0CNkwPEn1WAYnHmF6KoUTTyA9lcGHJ5Aey+DEI0wPpfDhAaLnEjjxDNRDOSUnStnAA9qaKEFAT6HR3VU/7bTT7E9/+lMS1GN+KS1CpYtTzE599o4TnzT91MKJH46+quDDF0l/dXDij6WPSvjwQdFvDZz45emjmpITpWzgg20t1CCgF7D4+uuvJ291d3fQ/+///s8OOOAA+7d/+zf78pe/HLV3pUWodHGKWqrH5nHiEaanUjjxBNJTGXx4AumxDE48wvRQCh8eIHougRPPQD2UU3KilA08oK2JEgT0NhqnT59uP/vZz2z27Nm28847J6H8hBNOSPVk9xhmhNIiVLo4xeAuix5xkgXl0sbASWm8Qh+Nj9CES6+Pk9KZhTwDHyHpllcbJ+VxC3mWkhOlbBCSeUy1CehtbG2zzTb2+c9/Pgnme+21V0wuU/WqtAiVLk6p4OXgIJzoScaJlhN8aPlw3eBEywk+tHywRvR8qDlRygaatrLvioC+EfP169fb9773PTvjjDPMBfVafCktQjZxvRmGE5zoEdDqiDWi5UPtD109Otl3xBrJnnmxEXFSjFD2P1dyopQNsjehOSIBvY2XzTbbLPnM+bBhwzSNVdiV0iJUujhViLVmTseJnkqcaDnBh5YPAjo+9AjodcR1CycdEVDKBnqmqtMRAb0N97Fjx5r7b8KECdUxEnhUpUXIhhFYdhnlcVIGtMCn4CQw4BLL46NEYBkcjpMMIJcwBD5KgJXRoTjJCHQJwyg5UcoGJSCs6UMJ6G30XnvttTZx4sTkM+h777239ezZs9URRxxxRNQTQmkRKl2copbqsXmceITpqRROPIH0VAYfnkB6LIMTjzA9lMKHB4ieS+DEM1AP5ZScKGUDD2hrogQBvY3G+vr6gmLr6ur4HnSP017p4uTx14q6FE709OFEywk+tHy4bnCi5QQfWj5YI3o+1JwQ0PXmCAFdz0nQjpQWIZt4UNVlFcdJWdiCnoSToHhLLo6PkpEFPwEnwRGXNAA+SsKVycE4yQRzSYMoOVHKBiVBrOGDCegdyF29erV169atpvQrLUKli1NNSa7gl8FJBfACnYqTQGDLLIuPMsEFPA0nAeGWURofZUALfApOAgMuo7ySE6VsUAbKmjyFgN5Ga2Njo11yySV2zTXX2MKFC+2ll16y7bbbzi644ILkye6nnXZa1BNBaREqXZyiluqxeZx4hOmpFE48gfRUBh+eQHosgxOPMD2UwocHiJ5L4MQzUA/llJwoZQMPaGuiBAG9jUb3PegzZszY8H3of/7zn5OAfscdd9gVV1xhTzzxRNTilRah0sUpaqkem8eJR5ieSuHEE0hPZfDhCaTHMjjxCNNDKXx4gOi5BE48A/VQTsmJUjbwgLYmShDQ22jcYYcdzD3J/V/+5V/MfSf6c889lwT0F1980Q444ABbvHhx1OKVFqHSxSlqqR6bx4lHmJ5K4cQTSE9l8OEJpMcyOPEI00MpfHiA6LkETjwD9VBOyYlSNvCAtiZKENDbaOzevXsSxocOHdoqoL/wwgu277772vLly6MWr7QIlS5OUUv12DxOPML0VAonnkB6KoMPTyA9lsGJR5geSuHDA0TPJXDiGaiHckpOlLKBB7Q1UYKA3kbjPvvsY2effbadeOKJrQL6RRddZL/5zW/s0UcfjVq80iJUujhFLdVj8zjxCNNTKZx4AumpDD48gfRYBiceYXoohQ8PED2XwIlnoB7KKTlRygYe0NZECQJ6G42//OUv7aSTTrLzzjsv+Ry6C+bz5s2zm2++2e6//3771Kc+FbV4pUWodHGKWqrH5nHiEaanUjjxBNJTGXx4AumxDE48wvRQCh8eIHougRPPQD2UU3KilA08oK2JEgT0djT+6le/Sp7kPmfOHGtqarKRI0fahRdeaIceemj00pUWodLFKXqxnn4BnHgC6bEMTjzC9FAKHx4gei6BE89AKyyHjwoBBjgdJwGgVlhSyYlSNqgQa82cTkCvGZXpfhGlRah0cUpHr/aPwomeY5xoOcGHlg/XDU60nOBDywdrRM+HmhOlbKBpK/uuCOgFmD/11FM2d+5cq6urs1133dX23nvv7O0EGFFpEbKJBxBcYUmcVAgwwOk4CQC1gpL4qABeoFNxEghsmWXxUSa4gKfhJCDcMksrOVHKBmXirLnTCOhtlL7xxht2/PHH2+zZs61v377JT5csWWIHHnig3XbbbbbNNttEPQmUFqHSxSlqqR6bx4lHmJ5K4cQTSE9l8OEJpMcyOPEI00MpfHiA6LkETjwD9VBOyYlSNvCAtiZKENDbaHSfM3cTdcaMGbbzzjsnP3UPifvCF75gPXv2tF//+tdRi1dahEoXp6ilemweJx5heiqFE08gPZXBhyeQHsvgxCNMD6Xw4QGi5xI48QzUQzklJ0rZwAPamihBQG+j0X0P+uOPP24jRoxo9ZOnn37aDjroIFu1alXU4pUWodLFKWqpHpvHiUeYnkrhxBNIT2Xw4QmkxzI48QizSKl1681WrDFb32jWuZNZr65mDQ2tT8JHdj7SjoSTtKSyO07JiVI2yM6A9kgE9DZ+3F3zW265xfbdd99WP/nDH/5gJ5xwgr388svaRot0p7QIlS5OUUv12DxOPML0VAonnkB6KoMPTyA9lsGJR5gdlFrefH9izt/M3ny3+cF8zcfV15ntMNhsePMn/3o0B/WWFz6y8VHKKDgphVY2xyo5UcoG2dDXH4WA3sbRvffem3zF2pVXXpk8GM49JM49MO5rX/uanXvuuTZ27Fh9qx10qLQIlS5OUUv12DxOPML0VAonnkB6KoMPTyA9lsGJR5gFSq1ea/bIXLN3lm56wI7NIX3kdmad/nEnHR/hfZQ6Ak5KJRb+eCUnStkgPPk4RiCgt/HUr18/W7lypa1fv946dWp+/1bzq+X/dp9B3/j1/vvvx2F5oy6VFqHSxSk6kYEaxkkgsBWUxUkF8AKcio8AUCssiZMKAaY4/d1lZr96pv0D3Z30w5u/6KZPj7//HB8pgGZ8CE4yBp5iOCUnStkgBbpcHEJAb6PZPRwu7euUU05Je6jMcUqLUOniJCOoyo3gpMoC2hkeJ1pO8KHlg0CYjY9X3zF7rPkOeqHXoXuaDehDQM/GRumjcN0qnVnoM5ScKGWD0NxjqU9Aj8WUpz6VFqHSxckT3ujL4ERPIU60nOBDywcBPRsfC5vf2v6b5wqPdfhIs369COjZ2Ch9FK5bpTMLfYaSE6VsEJp7LPUJ6AVMLVq0yNx/TU1NrY74+Mc/HovbdvtUWoRKF6eopXpsHiceYXoqhRNPID2VwYcnkB7L4MQjzAKlVqw2+5/mgO6e4N72tUU/s1G7mHXpTEAPb6K8EVgj5XELeZaSE6VsEJJ5TLUJ6G1szZkzx9xb1+fOnZt8jmrjl3tgXGNj83eLRPxSWoRKF6eIlXptHSdecXophhMvGL0VwYc3lN4K4cQbyg4Lvb+8+UFxz7cO6f2b75r/865mm3X/6FR8ZOOjlFFwUgqtbI5VcqKUDbKhrz8KAb2NI3eHfIcddkie2D5o0KDkKe4bv4YOHapvtYMOlRah0sUpaqkem8eJR5ieSuHEE0hPZfDhCaTHMjjxCLNIKXcnfVnzfyub76S7UN6rm1n3Lq1Pwkd2PoqNtGbdh7Z0hdkrbzfa6hVLbbshfW3zzeqtZ7fWf9sWq8PP/RNQWidK2cA/6TgrEtDbeNtss83smWeeSUJ6Lb6UFqHSxakWXZfzO+GkHGphz8FJWL6lVsdHqcTCH4+T8IxLGQEfpdAKd+zqtR/ac6802eMvuneDfmhd7ANba71t6IB6+9TI+uZ/YCGkh6NfvLLSOlHKBsXJ5eMIAnobz+57zk866SQbP358Tc4ApUWodHGqSdll/FI4KQNa4FNwEhhwieXxUSKwDA7HSQaQSxgCHyXACnjoW+812c8fbXmO0kcB3azORg2vs312/McX1wfsgdKFCSitE6VswJz5OwECepuZ8O677yafQd93331t9913t86d//HUk38cd8QRR0Q9d5QWodLFKWqpHpvHiUeYnkrhxBNIT2Xw4QmkxzI48QjTQyl8eIBYYQnn4NdPN9kLr7c8S6l1QO/d/J31x41qsF7cRa+QdPmnK60TpWxQPtHaOpOA3sbnfffdl9xBX7Zs2SameUic38mvdHHy+5vFWw0neu5wouUEH1o+XDc40XKCj+r7aGz60O59ssleXdR+QO/SyeykMQ3Wuydvc6+WLaV1QkCv1iwoPC4BvQ2bYcOG2b/+67/aBRdckDwkrtZeSotQ6eJUa57L/X1wUi65cOcVc/Jh81dBNq5fax82f8NEXX291XfuYvX1vHUxlJFiPkKNS93CBHCiNTvwoeHDff78t39q/y3u2w6ss8/8U7117UxAr5YtpXWilA2q5UNtXAJ6GyPuIXHPPvusbb/99mquvPSjtAiVLk5e4NZAEZzoSezISeO6tbZ68SJbveQddxsxab5zr77Wc8BW1tClq94vUwMdsUb0JOJEywk+NHwsWf6h3fFYo7kn72/8kLj65m8nOm5UvW3Rv16j0Zx2obROlLJBTqfDJr82Ab0NEvf581GjRtnpp59ek3NEaREqXZxqUnYZvxROyoAW+JRCTj5sav7D6523bI0L521enbr3sl5bbmsNnVo/QyNwq7kozxrR04wTLSf40PHx3gcf2uNzm5q/Zq3JOn34gfXv09tG7dFgW/Srs04N3D2vpimldaKUDarpRGlsAnobG5MnT7Zp06bZZz/72f/P3nnASVZV+f9XuXNV58k5MQwgGQYk6B9QBFFA17CruLou4rp/l3UDptVldV38+1/8bzCsYcW4KqCAggnJWdIAMwPD5Jme7ulU3VXdlet/bvX0TIeq7grvvXtu1Xm78wGZ9+4993zvua9+7957Lk444YRZSeL+8i//khO/km3hFIScBqeSHVmlDwgTfmALMUklYgjv3np05nym5S3L1sNX38ivQYZbJDHCD6Aw4cVEePDikUhlERnPYnQkjM72IBrqZOacAyFOccJJG3Bgw8EGEegzKKxcubIgF5UkbufOnRy4lW0DpyDkNDiV7dAqe1CY8ANaiElyPIKRvS8XNLhp4QoEWtr4NchwiyRG+AEUJryYCA9ePJQ1wkSYzOUBTtqAHyk9FolA1+N3bbVyCkJ5YWjrBgUrFibmMEnFxydm0AtczUvXwt/QzK9BhlskMcIPoDDhxUR48OIhAp0fD25MOGkDnrSct0oEOvn8+uuvx4033ojGxsbcvxe61Az6l770JecpWVgjpyCUl7iFYC0qSphY5EgLiynEJENZ20cP7kRqbPaRkG7ae66WuHsoo7tc1npAYsRaf1pRmjCxwovWlSE8rPOlVSUJE6s8aV05nJhw0gbWedjskkSgE78LL7wQt99+O0KhUO7f5xLo9957r9HEOQUhp8HJaKgWGi9MLHSmRUXNxSRN+9BHD+5CmmbTJy8lzpsXrYJX9p9bRGB6MRIjtri1okKFSUXus/xh4WG5SysuUJhU7ELLC+DEhJM2sNzRhhYoAt1QcOWazSkIOQ1O5fqz2p4TJvyIzsckk0oinYgjnYzB7fXnjlfz+OSINbtIzsfDrnql3MIeECa8eofw4MVDWSNMhMlcHuCkDfiR0mORCHQ9ftdWK6cglBeGtm5QsGJhIkz4eYCXRRIjvHiI+BAe/DzAzyIZt4SJCHR+fWAui0Sgm8WrYmtFoFfswqouQF7i/PAKE15MhAcvHiLQhQc/D/CzSMYtYSICnV8fEIFuFhNbrRWBbqt7jS9cXuL8EAoTXkyEBy8eItCFBz8P8LNIxi1hIgKdXx8QgW4WE1utFYFuq3uNL1xe4vwQChNeTIQHLx4i0IUHPw/ws0jGLWEiAp1fHxCBbhYTW60VgW6re40vXF7i/BAKE15MhAcvHiLQhQc/D/CzSMYtYSICnV8fEIFuFhNbrRWBbqt7jS9cXuL8EAoTXkyEBy8eItCFBz8P8LNIxi1hIgKdXx8QgW4WE1utFYFuq3uNL1xe4vwQChNeTIQHLx4i0IUHPw/ws0jGLWEiAp1fHxCBbhYTW60VgW6re40vXF7i/BAKE15MhAcvHiLQhQc/D/CzSMYtYSICnV8fEIFuFhNbrRWBbqt7jS9cXuL8EAoTXkyEBy8eItCFBz8P8LNIxi1hIgKdXx8QgW4WE1utFYFuq3uNL1xe4vwQChNeTIQHLx4i0IUHPw/ws0jGLWEiAp1fHxCBbhYTW60VgW6re40vXF7i/BAKE15MhAcvHiLQhQc/D/CzSMYtYSICnV8fEIFuFhNbrRWBbqt7jS9cXuL8EAoTXkyEBy8eItCFBz8P8LNIxi1hIgKdXx8QgW4WE1utFYFuq3uNL1xe4vwQChNeTIQHLx4i0IUHPw/ws0jGLWEiAp1fHxCBbhYTW60VgW6re40vXF7i/BAKE15MhAcvHiLQhQc/D/CzSMYtYSICnV8fEIHOkMmKFSuwZ8+eWZZdd911+I//+I9Z//2+++7DhRdeOOu/b926FRs2bCi6hSLQi3ZVTd4oL3F+2IUJLybCgxcPEejCg58H+Fkk45YwEYHOrw+IQGfI5PDhw0in00cte+GFF3DRRRfh97//PS644IKCAn379u1oaWk5+vednZ3weDxFt1AEetGuqskb5SXOD7sw4cVEePDiIQJdePDzAD+LZNwSJiLQ+fUBEegGMPnoRz+Ku+66C6+88gpcLldBgT40NIRQKFR2i0Sgl+26mnhQXuL8MAsTXkyEBy8eItCFBz8P8LNIxi1hIgKdXx8Qgc6cSSKRwKJFi3D99dfj4x//eF5rJ5e4q6XxsVgMGzduxCc/+cm8y95NCUJ5YfDrmMJEmPDzAC+LJEZ48RCBLjz4eYCfRTJuCRNTtAE/UnosclHQZvVULbVOeuDHP/4x3vWud2Hv3r05oZ7vUkvbH3jgAZx66qmIx+P47ne/i69+9atQwv28884r6Ex1r/ozeakZ9KVLl2J4eHjaUnkdNOSFocPrc9cpTIQJPw/wskhihBcPEejCg58H+Fkk45YwmU+gq9W54XBYuzbgR0qPRSLQ9fh9Wq2XXHIJ/H4/7rzzzpKsufzyy3PL4e+4446Cz33mM5/BZz/72Vl/rxLUTd3LXlLFFt2sXhiRSARNTU15l/VbVI0UU4IHhEkJznLoVmHikKOLrEZ4FOkoB28TJg46u4iqhEcRTnL4FmHisMOLqI4TEzV5t3z5chHoRXBz6hYR6E55ukA9SiivWrUKt912G6644oqSrPnc5z6H733ve1CZ3AtdMoNekktr/mb5ys6vCwgTXkyEBy8eyhphwouJ8ODFQ2KEHw9uTJRAlxl0Xv1EBLpmHmqG+2tf+xr27dsHr9dbkjVXX301BgcHce+99xb9nCSJK9pVNXmj/LDih12Y8GIiPHjx4PZDl593nLdIYsR5n89XozCZz0PO/z0nJpy0gfMkeNYoAl0jl0wmg5UrV+Kd73wnvvCFL0yz5IYbbsCBAwdwyy235P77zTffDJUg7vjjj4dKKqdmztUzt956K6688sqiW8EpCDkNTkU7sMpvFCb8AAsTXkyEBy8eItCFBz8P8LNIxi1hMpcHOGkDfqT0WCQCXY/fc7X++te/htp/rhLArVu3bpol11xzDXbv3p1LAqeum266CV//+tdzor2+vj4n1JWIv/TSS0tqAacglBdGSegcuVmYOOLmkioRJiW5y/abhYftLi65AmFSsstsfUB42OresgoXJmW5zdaHODHhpA1sdbpBhYtANwiWFaZyCkJOg5MVvq2GMoQJP4rChBcT4cGLh7JGmPBiIjx48ZAY4ceDGxNO2oAnLeetEoHuvM+11sgpCOUlrrUr5K1cmAgTfh7gZZHECC8e3H7o8vOO8xZJjDjv8/lqFCbzecj5v+fEhJM2cJ4EzxpFoPPkYptVnIKQ0+Bkm8MNK1iY8AMmTHgxER68eIhAFx78PMDPIhm3hMlcHuCkDfiR0mORCHQ9ftdWK6cglBeGtm5QsGJhIkz4eYCXRRIjvHiIQBce/DzAzyIZt4SJCHR+fWAui0Sgm8WrYmtFoFfswqouQF7i/PAKE15MhAcvHiLQhQc/D/CzSMYtYSICnV8fEIFuFhNbrRWBbqt7jS9cXuL8EAoTXkys5JFMpZBMpZFJZ+H1euCjPx6Pm1eDDbDGSiYGNJe9icKDHyJhIkxEoPPrAyLQzWJiq7Ui0G11r/GFy0ucH0JhwouJFTxUGbF4Ej2Hh5BOZ442sLGhDp1tLTmhLlfxHrCCSfG1yZ3zeUB4zOch5/9emDjv8/lq5MSEkzaYz2+18veyxL1WSB9pJ6cg5DQ41Vg3KNhcYcKvJwgTXkys4JFIprCvpx+ZTHZW40LNDWgnke52uXg1nLE1VjBh3DzjTBMe/JAJE2Eylwc4aQN+pPRYJAJdj9+11copCOWFoa0biEDn53phYggTK8at0WgMh2j2PN/lImG+bFEH/D6vIR7Rb6YVTPS3onosEB78WAoTYSICnV8fmMsiEehm8arYWhHoFbuwqguQlzg/vMKEFxMreAyGIxgYGi3YMCXQA34fr4YztsYKJoybZ5xpwoMfMmEiTESg8+sDItDNYmKrtSLQbXWv8YXLS5wfQmHCi4kVPCJjMfT05Z9Bd7tdWLrQ3hl02v6OsTiQSAF+mqhvCAABQ78HqC38sUQWkUgYXe1BqBUIcun1gBUxorcF1Ve7MOHHlBMTTtqAHyk9FskMuh6/a6uVUxByGpy0AWFWsTBhBoTMESa8mFjBQ2Vv398ziFQ6PatxbaEmtAWbbBOakRjw1A7gwOCxqhe3AaetAZrqePl6Lmsozx5GxoGXe4CewSw8mTDWLQ1icbsr98FBLn0esCJG9FlfnTULE35cOTHhpA34kdJjkQh0PX7XViunIOQ0OGkDwqxiYcIMiAh0dkCsipF4Ione/jDUP9WlJn6DzY1oDTbC67Eni7uaOX94GwnaPJP3C1uBczaYM5M+HAV+twVIqm8cpNZd6TCyniC6Qy6ctQ6o97PrOjVjkFUxUjMOc6ChwsQBJ5dYBScmnLRBiW6s2ttFoFct2vwN4xSEnAanGusGBZsrTPj1BGHCi4mVPNQMeiqVya2S8LjdubPQ1RJ3u67BCHD304VLv/QUoLXJrtqtK5eOjsdjrwD7B46UOUWgqy8d528E1AcHufR4wMoY0dOC6qtVmPBjyokJJ23Aj5Qei0Sg6/G7tlo5BSGnwUkbEGYVCxNmQMgcYcKLick8Dg3TrPPzhf35+hOBBSFe/s5njVqm/0v60HD0lLoZAn1FJ3Kz6HLp8YDJMaLHY/bXKkzs93GpNXBiwkkblOrHar1fBHq1ki3QLk5ByGlwqrFuULC5woRfTxAmvJiYzGOAEsff80xhf77xZKCtmZe/Cwn0u6kdKkFc7poh0Fd1A2fQnnq59HjA5BjR4zH7axUm9vu41Bo4MeGkDUr1Y7XeLwK9WsmKQK8xstY0l9MLw5oWmV+KMOHF0GQeMdqDfv+LQP/IbJ92tADnHw/UGZDNXeXWe2onsKsvv0B/3SagK8ir39SSNSbHSLVyEib8yHJiIgKdX/8Qgc6Pia0WcQpCToOTrU43qHBhwg+WMOHFxCoeqpxYMkvHnWUo0VkWDX436vwuOvbMbWuDR8YoUdx2YHDKMexq1vyc9UBLg61VW1q4asfv6WPDeIKKnTKDvqLLhdesoA8NkiTOUn+XUphVMVJKnXLv3B4QJvx6CCcmnLQBP1J6LBKBrsfv2mrlFIScBidtQJhVLEyYAclpjyzC4TCCQTnjmQMdK3jkyhjL4OWDiWPLtKlxzfUurFnop1lse0W6ErVROgc9Tv8MkJBtpGPJTMx6PkrHrO2n4+L29VOSvVQY65cH0d7iMrItHPq2VTZYESNW2SLlTHhAmPDrCZyYcNIG/MBSP0MAACAASURBVEjpsUgEuh6/a6uVUxByGpy0AWFWsTBhBkR+WLEDYkWMjCcyeH53/FiSsymt7GzxYGW3j7K625fNnZ1TKzBInYeeTGUxOhJGW5t8xKrAlZY9akWMWGaMFCQCnWkf4BQnnLQBU1yOmyUC3XGX662QUxByGpz0UuFTuzDhwyJBokPNdCZoGXR8PIxOEh8BWgYtl14PWBEjh8Mp7Dg0cf75zEudh37S8gDqA8K6WNJWMCm2Lrlvfg8Ij/l95PQdwsRpj89fHycmnLTB/J6rjTtEoNcG56Ot5BSEnAanGusGBZsrTHj0hGg8i+f3AL10LJbaXwtavttBAv3klS401snMqk5KVsTI/oEkLctOFWzGiSTQG+tEoBfL2QomxdYl983vAeExv4+cvkOYOO3x+evjxISTNpjfc7Vxhwj02uAsAr3GOJfbXE4vjHLbYPpzaub8D5ShOifO1XVEoMM7sb9WHR8V8IlI18XZihgZjqaxdb/Kbjb78nmATSTQ7d6Hrst/dtRrBRM77KrVMoUHP/LCRJjM5QER6Pz6hwh0fkxstYhTEMoLw1bUZRUuTMpym6UPhcey+P0LU4qcItBB658voKOwQo0i0C11egmFWREj8WQmJ9DHE7Q6Ysa1ssuH7pCHUAvjYrFYwaTYuuS++T0gPOb3kdN3CBOnPT5/fZyYcNIG83uuNu4QgV4bnI+2klMQchqcaqwbFGyuMNHfE/pHsnhoW2GBvpmOw+oKinjTRcqqGFGJ4vb0JTEUzeSa4qWZ88XtXnQ2e+Cz+ag1Xb6zq16rmNhlX62VKzz4ERcmwmQuD3DSBvxI6bFIBLoev2urlVMQygtDWzcQgc7P9UctGqYZ9PvmmEE/n2bQW2UGXRtBK8etFJ1/rrY0ZGgiXWlytXVBZs5LR2slk9JrlydmekB48OsTwkSYiEDn1wfmskgEulm8KrZWBHrFLqzqAuQlrh+vEmxP7AD6R47YMmWJe6jJhbPWgfYnywy6LlISI7o8X7heYcKLifDgxUNZI0yEiQh0fn1ABLpZTGy1VgS6re41vnB5ifNAGIll8fQuYHA098sql8W9JRjEGatdaKoXca6TksSITu/nr1uY8GIiPHjxEIHOjwc3Jpy0AU9azlslM+jO+1xrjZyCUF7iWrtC3sqFCR8mcTr/XJ2DHqN/Jo6cgy5nY+vnIzGin8FMC4QJLybCgxcPbmKQn3f0WMQpTjhpAz00+NUqAp0fE1st4hSEnAYnW51uUOHChB8sYcKLifDgxUPEh/Dg5wF+Fsm4JUzm8gAnbcCPlB6LRKDr8bu2WjkFobwwtHWDghULE2HCzwO8LJIY4cVDBLrw4OcBfhbJuCVMRKDz6wNzWSQC3SxeFVsrAr1iF1Z1AfIS54dXmPBiIjx48RCBLjz4eYCfRTJuCRMR6Pz6gAh0s5jYaq0IdFvda3zh8hLnh1CY8GIiPHjxEIEuPPh5gJ9FMm4JExHo/PqACHSzmNhqrQh0W91rfOHyEueHUJjwYiI8ePEQgS48+HmAn0UybgkTEej8+oAIdLOY2GqtCHRb3Wt84fIS54dQmPBiIjx48RCBLjz4eYCfRTJuCRMR6Pz6gAh0s5jYaq0IdFvda3zh8hLnh1CY8GIiPHjxEIEuPPh5gJ9FMm4JExHo/PqACHSzmNhqrQh0W91rfOHyEueHUJjwYiI8ePEQgS48+HmAn0UybgkTEej8+oAIdLOY2GqtCHRb3Wt84fIS54dQmPBiIjx48RCBLjz4eYCfReOJDEaGw+jsCMLtdvMzsAYt4vQu4aQNarAr5G2yHLNWYz2BUxByGpxqrBsUbK4w4dcThAkvJsKDFw8R6MKDnwf4WBSJZbG/H3hpbxbpRBgrFgexdpELoUYXHyNr1BJO7xJO2qBGu8OsZotAr7GewCkIOQ1ONdYNRKAbBFzihBcs4cGLhwh04cHPAzwsipI4v/c54MAQ2ZPNwpsNI+UKoqHOhctPB1qbRKTrJMXpXcJJG+hkwqluEeicaDhgC6cg5DQ4OeB6I6oQJnwwHe6PY9/BMew/OI721hRWr+zEgq56PgbWqCUSI/zACxNeTIQHDx67e7O455kjtkwR6HC5cPxSYPMGwOMRka6LFqc44aQNdPHgVq8IdG5EbLaHUxByGpxsdrsxxQsTHqj27Ivixn/dhsMDCbiQRVsohUy2Hp+6/jisXtHEw8gatUJihB94YcKLifDQzyNDgvzXTwO7D+cX6HU+4KrNQHO9CHRdtDjFCSdtoIsHt3pFoHMjYrM9nIKQ0+Bks9uNKV6Y6Ec1HE7gH764Fbv3jeWMmRTog8NeLOiux+f+fiPa2wL6Da1RCyRG+IEXJryYCA/9POYV6H4S6GeLQNdJilOccNIGOplwqlsEOicaDtjCKQg5DU4OuN6IKoSJfkw7dkXw15/ZctSQqQI9S3L9pk9twvo1zfoNrVELJEb4gRcmvJgIDx485l3ifhwtcXfLDLouWpzihJM20MWDW70i0LkRsdkeTkHIaXCy2e3GFC9M9KN6YVsYn/jnlwoK9M/8zXE4eVNIv6E1aoHECD/wwoQXE+HBg0cuSdzzlCRukOyZsge9kZLEXSZJ4rRD4hQnnLSBdjBMDBCBzgSEU2ZwCkJOg5NT/udejzDRT2jfgTH87089j3Q6mzNm6gy6Su5z840nYsXSRv2G1qgFEiP8wAsTXkyEBx8ekfEsDgwALx45Zm0lHbO2Ro5ZYwGIU5xw0gYs4DAwQgQ6AwhOmsApCDkNTk4y4FyXMNFPJxZL45s/2I1f3983S6Cfc2YHrnvvKjQ2evUbWqMWSIzwAy9MeDERHrx4KGtiiQzCw2F0dgThdrv5GViDFnGKE07aoAa7Qt4mi0CvsZ7AKQg5DU411g0KNleY8OgJg0MJ3PGrHtzz+0NQgr27M4NTT1yEKy9bjA5JEKcVksRIZe4fj2eRSANq62sj5Tp0W7AHVphUxsTqp4WH1R6tvDxhUrkPrS6BExNO2sBqP5tangh0U8mVaTenIOQ0OJXpzqp7TJjwQZpKZeiYtTjGxumItfQYli/tgN/v4WNgjVoiMVIe+EQyi0PDwJOvAIOjgJ8WgRy3DNi4BGiq8KinamCiPlyMxQG1s6WeMmybfPxVNfAor5fzfUqY8GPDiQknbcCPlB6LRKDr8bu2WjkFIafBSRsQZhULE2ZAyBxhwouJ8CiPx85DWfzuudnPLmwDXnci0BAoP5u06Uz6wlk8sCWLwyMT/mmglQWbj3NheSd9yPCV75fySFX+lOk8KvcAvxKEiTCZywOctAE/UnosEoGux+/aauUUhPLC0NYNClYsTIQJPw/wskhipHQeEcomfdcTwOh4/mcvPwNY0Fq+EDWZyXAki9sezSKenO2bN53uwrLO8v1SOilrnjCZhzUe4FeKMBEmItD59YG5LBKBbhaviq0VgV6xC6u6AHmJ88MrTHgxER6l8xgYJRH6SOHnzlgHnLSyfCFqMpPnd2XwEJ2qmMlkkaS9+XQaFny0k0WdT93dClxKIr3eX75vSqdV+RMm86i89TxLECb8uHBiwkkb8COlxyIR6Hr8rq1WTkHIaXDSBoRZxcKEGRAyR5jwYiI8SuehZol/+jD15QKPvvZ4YMOS8kWoqUyU3fc8lcX2A5Q4LzXdOSrRdhOdV/2uC1xoaSjfN6XTqvwJU3lU3nK+JQgTfmw4MeGkDfiR0mORCHQ9ftdWK6cg5DQ4aQPCrGJhwgyICHR2QCRGSkeSSGVx7/PAvsOzn3WR9rxqM9DaVL4INZnJgy9k8Oi2/J8uOlqAt7/WXXESvdKJVfaEyTwqaznfp4UJPzacmHDSBvxI6bFIBLoev2urlVMQchqctAFhVrEwYQZEBDo7IBIj5SFRs+h3/wGIxI49ryT5+ScAK7sBr6c2BfqOg2ncTsv/80n0zRuAE1epGXSzzq2WGCkvRux8SpjY6d3yyubEhJM2KM+b1feUCPTqYzpnizgFIafBqca6QcHmChN+PUGY8GIiPMrnMTJGmcrDwIEBdbQasLwLJD7VnuvyxHkmGUc2NobUyABGY0mEFi6GJ9AAl4fOcDPk+v0zCTQ2ePDgi3TEWuaY0esXAx3NGWxc7kFrswh0Q3CyNVPGLX5oODHhpA34kdJjkQh0PX7XViunIOQ0OGkDwqxiYcIMiMygswMiMcIDSSY+jvjuF5CJDObyNIzSOevNdCRZYPnx8LYtNEakv7Azice3pnDqeh/iKRdSlChOfbTYfTCFyHgWV50fMO6oNYkRHjEy1QphIkzm8gAnbcCPlB6LRKDr8bu2WjkFobwwtHUDmUHn53phYggTGbf0g1IMkj2v5v6oa6pAd9Gm9roNZ8PTSBu4DbiGIxl8/zcx9A1lKVs7ZW+n1QRROpbOS5nc//TSOizqoH8x7JIY4QdMmAgTEej8+sBcFolAN4tXxdaKQK/YhVVdgLzE+eEVJryYCA/9PDKJcYxvfQxIJfIKdF/3CviXrNdvaJEWDI1m8NT2FJ55OYkkZXNfvdiD807yobvNnTtuzbRLYoQfMWEiTESg8+sDItDNYmKrtSLQbXWv8YXLS5wfQmHCi4nw0M8jEx/D+AsPkSETqdVmzqB7WhegbtVJ+g0twYI0nYMeoT369A800vFqflqub+olMcKPnDARJiLQ+fUBEehmMbHVWhHotrrX+MLlJc4PoTDhxUR46OeRoZnz+I5nkIkO5xXo/hUnwNe+SL+hNWqBxAg/8MJEmIhA59cHRKCbxcRWa0Wg2+pe4wuXlzg/hMKEFxPhwYNHanQA8ZefmiXQ3YF61K07HW7K5i6XHg9IjOjx+1y1ChNhIgKdXx8QgW4WE1utFYFuq3uNL1xe4vwQChNeTIQHDx7ZdBppyuCe2L8dmfEIZXEHQp3dCCxZC3ddEw8ja9QKiRF+4IWJMBGBzq8PiEA3i4mt1opAt9W9xhcuL3F+CIUJLybCgxePTILOQqcl7+HRCELtHXB7fbwMrEFrJEb4QRcmwkQEOr8+IALdLCa2WisC3Vb3Gl+4vMT5IRQmvJgID148lDXChBcT4cGLh8QIPx7cmHDSBjxpOW+VHLPmvM+11sgpCOUlrrUr5K1cmAgTfh7gZZHECC8e3H7o8vOO8xZJjDjv8/lqFCbzecj5v+fEhJM2cJ4EzxpFoGvi8pnPfAaf/exnp9Xe3d2NQ4cOFbTo/vvvx/XXX48XX3wRixYtwt/+7d/i2muvLakFnIKQ0+BUkhOr+GZhwg+uMOHFRHjw4iECXXjw8wA/i2TcEiZzeYCTNuBHSo9FItD1+B1KoP/0pz/Fb3/726MWeDwedHZ25rVo165d2LRpE/7sz/4Mf/7nf46HH34Y1113HX74wx/iqquuKroVnIJQXhhFY3PsRmHimKuLrkiYFO0qR24UHo64uaRKhElJ7rL9ZuFhu4tLrkCYlOwy2x/gxISTNrDd8YZUIAJdEygl0H/2s5/h2WefLcqCv/u7v8Mdd9yBrVu3Hr1fzZ4/99xzePTRR4sqQ93EKQg5DU5FO7DKbxQm/AALE15MhAcvHsoaYcKLifDgxUNihB8Pbkw4aQOetJy3SgS68z7P1agE+he/+EUEg0EEAgGceeaZ+PznP49Vq1bltei8887DySefjC9/+ctH//7222/H29/+doyNjcHnKy5zLacglJe4ps43R7XCRJjw8wAviyRGePHg9kOXn3ect0hixHmfz1ejMJnPQ87/PScmnLSB8yR41igCXROXu+++Oyes161bh97eXvzTP/0Ttm3blttf3t7ePssqdd8111yDj3/840f/7pFHHsE555yDgwcPYuHChXlbEo/Hof5MXioIly5diuHhYbS0tGhq/US1nAYnrY5gVLkwYQTjiCnChBcT4cGLh7xLhAc/D/CzSMYtYTKXB5Q2CIVCCIfD2rUBP1J6LBKBrsfvs2qNRqNYvXp1LvGbSgQ381IC/X3vex9uuOGGo3+l9qGfe+656OnpwYIFC/K2JF8yOnXjnj17tAehemFEIhE0NTXB5XIxIVHbZggTfvyFCS8mwoMXj0mBLu8SPlwkRviwmLREmAiT+QT68uXLRaAz6iYi0BnBuOiii7BmzRp85StfmWVVuUvcZQadEWADTJGv7PwgCRNeTIQHLx6TAl3N/KgtY/KxVz8fiRH9DGZaIEyEyXwCXWbQefUREehMeCghrWbQP/jBD+LTn/70LKtUkrg777wTL7300tG/+9CHPpRLMidJ4phArAIz5CXOD6Iw4cVEePDiIQJdePDzAD+LZNwSJvMJdPWBU5a48+knItA1sfjYxz6Gyy+/HMuWLUNfX19uD7o653zLli1Qy0zUUvYDBw7glltuyVk4ecyaOmJNHbWmRLnK4i7HrGkCWKXVykucH1hhwouJ8ODFQwS68ODnAX4WybglTESg8+sDc1kkAl0Tr3e84x144IEH0N/fnzv7/KyzzsKNN96IjRs35ixSCeF2796N++6776iFSsD/1V/9VS6R3KJFi6Bm1ZVIL+XilKlRXhilkHPmXmHijJ9LqUWYlOIt++8VHvb7uNQahEmpHrP3fuFhr3/LKV2YlOM1e5/hxISTNrDX6+aULgLdHFaWWMopCDkNTpY4twoKESb8IAoTXkyEBy8eyhphwouJ8ODFQ2KEHw9uTDhpA560nLdKBLrzPtdaI6cglJe41q6Qt3JhIkz4eYCXRRIjvHhw+6HLzzvOWyQxMtvnmVQS2UQM6bERUCZDeBpb4PbVweXxOgJImDji5pIq4cSEkzYoyYlVfLMI9CqGm69pnIKQ0+BUY92gYHOFCb+eIEx4MREevHiIQBce/Dww3aJMMoFE7y4khw5N+4tA90p42xbC7fXZ3gQZt2x3cckVcGLCSRuU7MgqfUAEepWCLdQsTkHIaXCqsW4gAt0g4BInvGAJD148RKALD34emG5RcqgXsf3b8ppZv/I18DYFbW+CjFu2u7jkCjgx4aQNSnZklT4gAr1KwYpArzGwFjWX0wvDoiYZX0ytMBkKJ7DvYAxPPheGz+fCWSe3YmGXH81N9s8uldJJaoVHKT7Rfa8w0U1gev3C45g/MqkExndtQSYWyQvJG+xE3ZINcLndtkIUJra6t6zCOTERgV4WQlsfEoFuq3v5Fc4pCDkNTvxI6bFImOjx+1y11gKT/qEE/vM7e/H8VtqfOeW69HWduPrShWhpdmafZjH0a4FHMX7gdI8w4URDkvZNpZFJxjG242lkSajnuzwNLahfcYLte9ElRnjFiLKGExNO2oAfKT0WiUDX43dttXIKQk6DkzYgzCoWJsyAMHuJ2+WdX97bh2/9z/68xX/6o2tw4nEtdlVdcrkSIyW7zPYHhIntLi6pAuFxzF3ZTArj+7YjPdKf14f+ruVQf1yUOM7OS5jY6d3yyubEhJM2KM+b1feUCPTqYzpnizgFIafBqca6QcHmChN+PaHamQyFk/iHL72Mg73xvM4/8zVB/NUHKZmSx94loMWSr3YexfqB033ChBMNXjODHDyjMrePvfqs+tw63Ry3Bw2rT4anrtF2MyVGbHdxyRVwYsJJG5TsyCp9QAR6lYIt1CxOQchpcKqxbiAC3SDg1R4n/YMJ/P0/b8PwSCovlY1rm/Dxj6xGXcDDglq182Dh5BKNECYlOszm24XHdAdnM+nc8WrxgzuQiY/l/tJd34K6RWvon022z56r+oSJzZ2+jOI5MeGkDcpwZVU+IgK9KrEWbhSnIOQ0ONVYNxCBbhDwao+TeCKNr9yyFw89OZSXyjVvX4LLXt/Fhli182Dj6BIMESYlOMuBW4VHfier/ehZOg9dnYPuoqPV3F6/AzQmqhAmjrm66Io4MeGkDYp2YJXfKAK9ygHPbB6nIOQ0ONVYNxCBbhDwWoiTXfvG8MmbXkY8kZlGpjXowz9+bC1lc69jQ6wWeLBxdpGGCJMiHeXQbcLDIUeXUI0wKcFZDt3KiQknbeCQ+9lXIwKdPSJrDeQUhJwGJ2u9bG5pwoQXu0Qyi1Q6i0g0jM62kCNLIXV4IE1tVCL9B7cfxJbto/C4XTjz5BDedtlCLFnIR5zLTJSO3jF/nTJuze8jJ+8QHk56u7i6hElxfnLyLk5MOGkDJxlwrksEOmc6NtjGKQg5DU42uNrIIoUJD2zJVBZDUeDV3gyisSx82TDWLWtFe7MLfq+92X51eiA6lsZIJJn7EKFmzwN+HonhpvpEYkRnD8lftzDhxUR48OIhHxb58eDGhJM24EnLeatEoDvvc601cgpCeYlr7Qp5Kxcm+plkMlnsG8xi6/6JjL+KSTYRhssfxLpFbqzocMHjqV6Rrp/A3BZIjPAjJEx4MREevHhwE4P8vKPHIk5xwkkb6KHBr1YR6PyY2GoRpyDkNDjZ6nSDChcm+mFF41k8sj2D9JHt2FMFulr6fc56NxrrrBHovf1xbH81ii1bR9HZ7scZtKx8YZefZq55ZEzXT2O2BRIj/KgIE15MhAcvHiLQ+fHgxoSTNuBJy3mrRKA773OtNXIKQnmJa+0KeSsXJvqZDEayeGLHsWRpUwW6Wvp92mo3Omipe6XX/p5xfO7fXsXAEGUVPnJR8bjuPctx9ilB+EWkS4xU2skcel7GLYccXWQ1wqNIRzl4mzBx0NlFVsWJCSdtUKT7qv42EehVj3h6AzkFIafBqca6QcHmChP9PWGIBPrjcwj009e40d5UmUAfG0/h5m/uxrMvjs5qsIe2fX/xkxsoOVu9fmcwtEBihA+U8GgaPQMpbNsZR50vgk3rOtAR8qIuwC93AR+v2W+JxIj9Pi61BmFSqsfsv58TE07awH7Pm1GDCHQzOFlmJacg5DQ4WeZgwwsSJvoBjieyeOzlDOKpCVumzqCrBHFnr3OjIVCZQN9/KIa//setVHb+9l77x0vxunM69DuDoQUSIzygDIbT+M6dYew6qFaAZNEciGI03oi3vq4ZZ59QLyJdIyaJEY3OL1C1MBEmc3mAkzbgR0qPRSLQ9fhdW62cglBeGNq6QcGKhYl+JopBP01sP70rkxPQkwLdTUniTl7lQVcLKj5ubc/+MfzN57YXbOwfX7kIb76oW78zGFogMaIfijqW75cPRfCbx8eOGHNMoFN04GPvacOyBT79htaoBRIj/MALE2EiAp1fH5jLIhHoZvGq2FoR6BW7sKoLkJc4D7wqk3s0DhwcyiIczdAxayNYtSSEJkoOpxLFVXoNDCXw6S+9gsMDibxF3fixtVi/uqnSaqryeYkR/VgHR9L44ncGEB2fXAIyXaBfeFpDbiZdLj0esDJGEskUxuNJxOiP3+tBQ30Afp+n4o+Uejyjr1YrmehrRXXVzIkJJ21QXZTLb40I9PJ9Z+STnIKQ0+BkJEwbjBYmNji1giIVjzSJ9dGRMEKhkKU/Sh97egj/9792z7LuxA3N+Iv3LUeoRWYg86GTGKmgQ1v0aP9wCv/0XwOg0DhyTRfopx5Xh/deHrSoNimmFA+MjWcwOJLC4NAw2lpDaAt60VBXXk4AJcr3HxqmMfBY0kyVyHJRVwiN9X5Lx8NS2mjivTJu8aPGiQknbcCPlB6LRKDr8bu2WjkFIafBSRsQZhULE2ZAyBy7mIzH0ti2I4If/rwHu/ePo7nRg4vP78Drae95R5ufnyOYWGQXDybNM8KMKInAr982jF0HJk8gmC7Q33NZC07bKEkOnYZ5eCiFH90zgm27YmiuG0Mk1oBNa+vwtota0E7J+0q5Uuk0DpA4jyWOJOOY8rCbVPryxW00k15amaXUX233yrjFjygnJpy0AT9SeiwSga7H79pq5RCE47EMDg+n8cy2OKLRMDasbseKRT60tcjZy9o6xuQ8FM3YhsNhBINBmZ3QDcMhJuGRJC0hzeSWzre1+ixZQs/EdbaYwelHlS0NNKTQHfsS+PcfDR2ZRT8m0NtpxvYv3tGK9qC8T5xEGRlL4xv00eSVvWrbDPEggT5KAl3lBDhhbYBWNIRQX8JMupo933NwsGATFnfTlp+GgJNNNLouGbf44ePEhIM24EdIr0Ui0PX63/HadQdhjITAI8/H8YtHxnMv8SZ/BJFEU+7H1J+9pRmdIflR5XinmFIhpxeGTj9wqluYcKJh34oGXq3kb00imaUZ9AR+fl8E+/uSCNZHsXZ5O95wbhO62mRm1WmC+w4l8YVv9U9+Vpwm0FXWjBs+0IHFXcVvmxmPJbC3Z6hgMxZ2tqClSVZJFMtZ3iPFesq5+zgx0a0NnPO6OTWJQDeHlSWW6g7C/X0p/OsPR46+xCcFuvrKfvpGP666sBE+OkpKLj0e4PTC0OMBfrUKE15MhAcvHqPRNCWLy2B8bASLFoQQ8MtHXh2EttJZ9P/+o8kZ7+kz6Mqej/5xG9YuK37GWyWHUzPoKmFmvmv5ojY6Sq94wa/DJ5zqlHGLE40JWzgx0a0N+NHRb5EIdP0MHLVAdxD+6rEx/PrxWF6BTgla8bd/EpSliY72iOmVcXphaHQDq6qFCSscrH5U8fKMPmskRvT5frLmPT0J3PTtgaPv9qlL3NV/vOH9HVjSXbygVkyHR8bQNxiZ1bjmxgC621vg8ZSXfE6/t5y3QGLEeZ/PVyMnJrq1wXy+qsW/F4FeY9R1B+Ht90Xx0HN0ftTE98OjS9zVDLq6/v49QXS2ygyIrm7J6YWhywfc6hUmvIgID148cm8SyZ2hHcoIrWT4yo8HaVm6Suo2fQZ93XI/PnBlK2VeL01Qp9MZRMbjGBiKIplK5/JjhFoaEGyup5V28juhFOgSI6V4y5l7OTHRrQ2c8bhZtYhAN4tXxdbqDsJtuxP4r59PfhGfLtCXdXvwgSuaS36JV+wUKeCoBzi9MATLkc9YIj5YdQWJEVY4Jj71SoywgNI7kMJ/3zFEIj15dA/6qiUBvOcy+vBeQV4AJc6ztNTdRfre65Ez0MuBLTFSjtfsfYYTE93aRzxuAAAAIABJREFUwF5Pm1m6CHQzuZVtte4gHI5k8J27RrG3N537yj65B91NX8avfWszVi8pfglc2U6QBwt6gNMLQzCJQOfYByRG+FERJnyYjETSGAyrc9DDaG8L5s5BV0c4yqXXAxIjev2fr3ZOTHRrA3509FskAl0/A0ct4BCEQyNpPLIlhsdfiMOdHUVXRwhvPLsBSxd46eu4JIhztEPMqIzTC0OnHzjVLUw40ZDZWl405COW8ODoAX42yXtEmMzlAQ7agB8hvRaJQNfrf8dr5xKEaVquFh5NY3Q0jI72EC1rly/sjneGPBXKS5wDhek2CBNeTIQHLx7KGmHCi4nw4MVDYoQfD25MuGgDnqT0WCUCXY/ftdXKKQjlJa6tGxSsWJgIE34e4GWRxAgvHtx+6PLzjrMWje09iNEXX0b/voPoXLEUzcetQf3Shc4aIbXN8oCMW/w6BScmnLQBP1J6LBKBrsfv2mrlFIScBidtQJhVLEyYAZHZQXZAJEbYIZEZdCZIws9vw3PX/A3iA8PILOmCe38f6rra8Zpb/k9OqMulzwOFxq1sMo5sLAo6cB4ufx1c9U36jKyxmjm9SzhpgxrrBgWbKwK9xnoCpyDkNDjVWDeQGXSDgEuc8IIlPHjxkBl0HjxiPX146uoPI7avB1mX66hApx+ZaFy3Eqf84GYESKzLpccD+catTHgAqS0PIn14X84oV0MLfCecC3fXMri8krDXblKc3iWctIHdfjelfBHoppCyyE5OQchpcLLIvcYXI0z4IRQmvJgID148RKDz4DH89At46i3X5oyZKdDVfzvjrm+g5cQNPIytQStmjluZSBjxB34KxMdmecN/zhXwkEiXy14PcHqXcNIG9nrdnNJFoJvDyhJLOQUhp8HJEudWQSHChB/EamAST2YxHqcZGjqkoake8NCxiqZe1cDDVN8XsluY6Cc6cP8TeOZPri8o0E/98b+h9ayT9RtqsQVqbIvEgMFRdUY70EYrxBvr1L/zGuNmxkhq94tIPnNvXm+4Ql3wb34z3AEarGdcGUrwm6Bz6cdiSaTSWTQEvAj4PfCpxstVkgc4jVuctEFJTqzim0WgVzHcfE3jFIScBqca6wYFmytM+PUEk5mo0xr6hrN4cEsae/qy8NFvuE0r3Th1rQetTbx+wBZL3mQexbbRtPuEiX5ikW2v4rE3vC+3l3nmDLqLxNuZv/oOmtau0G+ohRaMxbN4+lVg2/5jhXrcwGuPB1Z08RLpM2Mk8fjdSB/ckd8bLjcCF/0x3I3BaX+vxPnoWAL7+iLT/nt9wIOlXc3wqwFerqI9wGnc4qQNinZgld8oAr3KAc9sHqcg5DQ41Vg3EIFuEHCT4+TQYAbfvzdFMy3THd7WArz9PB+CjeaJdJN5GNTtSzJVmJTkLltuTo5EsP1T/4pDt/9qlkBf8p4rsebj18HbQFPLVXRt25/FQy/NbpAa1a44C+ho4TO+zYyR5AsPI/XK0/lp1DWi7vy30Z705ml/H0uksGN/OO8zrS0BLGxrhNvg1VFOd01O4xYnbeA0B671iUDnSsYmuzgFIafBySZ3G1esMOGHzFQmaunnnY+m8GpPNq9TLz/bg43LzJtxMZUHv55tnUXCxDpfVlJSrOcw9n3zx9j3g58j2doMXziK5e+9Covf81bUdXdUUjS7Z9Xs+V1PAiOzt3DnbN20HDhrPV+BnhnuQ/z3/5PXr76NZ8Oz7lTakjTd/oHwOHoG8jdY3bpmSQgBmUUvuq9yGrc4aYOiHVjlN4pAr3LAM5vHKQg5DU411g0KNleY8OsJpjIZjmTxrXuSSM6YPZ/08NrFLlx5rnmZgk3lwa9nW2eRMLHOl5WWlEmlME6Z3IeHhhFqa82dge72mPchbj4/jI5ncesjmLU6aPK5pfQ94iLacu+eIXLnK9euv58ZI9lUEun9LyP57H2U1S9ztFrPghXwvuZCuPMct3ZoIIr+MG24L3CtWRJEnd9rVxOqrlxO4xYnbVB1oMtskAj0Mh1n6mOcgpDT4GQqT6vtFiZWe7Ty8kxlMhLN4ju/SWKMksPlu06kvehvPMO8H3Om8qi8J/ItQZjwYlMLPGKJLH71DHA4/4pvnLEOOHEF3xl01WOy6SSy0VFkBnuAZALu9oUAHbXmrmvI26FGogns7aVseHkuv8+NlQuDlCyONuHLVZQHOMUJJ21QlPNq4CYR6DUAeWoTOQUhp8GpxrpBweYKE349wVQmKkHcg1syeHxb/in0d7/OiyWd5v2YM5UHv55tnUXCxDpfWlFSrfDY35/FPXm2catJ5DefCYQY5diwgkmSkons7hlFPM+yqKXdTZRTJGBF96mZMqxgYpWzOGkDq9pkejki0E0nWKL9nIKQ0+BUohur9nZhwg+tyUzUMvfbHk7hMGVyn3qdvt6Ns4/zoD7AZ4apWPIm8yi2jabdJ0x4EasVHgnKs7G3H3h8OzCemGCgjlk7l7K4d1IizJl7uHVSsoqJEud9Q2MYiSSgRnU/zZh3tzWgqcFHx2ea98G1GphY0QZO2sCK9lRDGSLQq4FiCW3gFIRWvTBKaL7cOo8HhAm/LmI6kzAtdT80lMX2fWnan+jCxuVutDe7jBTnqndw55FMZaH+BHwueJidxWxXdHFnYle7uZZbSzxUW6O0LVsJdJXAvJ4mkRsYfni0kolaHZVK0XF69H8earScgV5eJFrJpDwLjj3FSRtU2pZqeV4EerWQLLIdnIKQ0+BUpPuq/jZhwg+xMOHFhCuPOO2JPTSYxsNbEhgcyWBRuwdnbfKjK+SG12veSoVSqHNlUkobqule4cGPpjARJnN5gJM24EdKj0Ui0PX4XVutnIJQXhjaukHBioWJMOHnAV4WcYyRVDqLZ15O4vYHpmdYVitO//jiemxYbl62/FKoc2RSiv3Vdq/w4EdUmAgTEej8+sBcFolAN4tXxdaKQK/YhVVdgLzE+eEVJryYcOTRP5zGv90apaXts33VQomqrr2iEaHm6ftDx+MZxGK07aBO5QIwe+8oRya8eq2z1lQLjxQdGZfJpOGi//N4vXAbvMe6Wpg425PtrY0TE07awF6vm1O6CHRzWFliKacg5DQ4WeLcKihEmPCDKEx4MeHIY/veJL5z93hBR33oLQ1Y2j1xpN14LIPd+2O4674hHOpLYEGXH5dd0IoVS+pQX2emUM/HJBrLIkb7gl3UpAY/cvkP5HLGAxxjpJSWp9NpxGPjGB4cQJpEurrqGhoQam2Hz0+dycDLdCYGunxekzkx4aQN5nVcjdwgAr1GQE82k1MQchqcaqwbFGyuMOHXE4QJLyYceWzbk8Qt9xQW6NeSQF9GAj1FyeMe+sMIvvWT3llO/dO3dePcU1uM3K8+lQmdBIUDg8Bj24DIkRX/3SFg8wagvUVEuhPRxDFGSmn3+FgU/b2HZj2iZtG7FiyC12felhHTmZTCz5R7OTHhpA1M4We3nSLQ7fYws/I5BSGnwYkZJm3mCBNtrpePJvxcn9cijjFymJa4/7+fRJHOzDa5qd6FD721Ea20xL23P4FP/etexGh5+8yrjpa53/hXy9DdYd4M4VQmPUPAL5+a7YcAaao3nwE6q1lEut2hxjFGim2zmjE/3NuDZOLIuWkzHmzr7EZjE52lZthlMhPDXF20uZyYcNIGRTuwym8UgV7lgGc2j1MQchqcaqwbiBg0CLjpcTJGS6qHRrM42J+mo7+AhZRdXIlFUzOLz8cjS8tjs/ExpEcOI5tMwNPSDlddE9yBett6XYJmxp94KYFfPhqfVoeLtOg7Xl+PTau8uTOZt706hs9/ZX9BOz7+oSXYsLrBNjvtKniSSaChBb991oXe4fw1nbUe2LRcBLpdHCbLnS9G7K6/kvKTySQO7d9bsIiGpma0d3ZVUoWWZ01mosVhDlTKiQknbeCA642oQgS6EZisM5JTEHIanKzzsNklCRN+/ExmMhLN4J7HYniWMoxPXh7aE/zWC5Ro9MFPZ3Wbds3FI5tOITVIs2+7t0wXyiQcA6tPgbvOPvGrkr7t78vggWfjGIpksKDNg9ee5M99EJn08/adY/jcfxYW6J+4bgnWr7LPRrtYTzJx+1tw26MuqGXu+a6lHcBFJ6vzqs3rd3b5zo5yTR6zUqkkeg/sp+RweZajkLNaQm0Itrba4TZbyzSZia2O0Vg4JyactIFGJKyqFoHOCof9xnAKQk6Dk/2eN6MGYcKPk8lMHtkSx10PTT/6S3lY6aMPX9WERZ0efg6fw6LIeAYj0SxGR8PobA8i2OSGx31M7GXGRhB78aG8JXg6l8K/bCMlLbO3zbFEBjQJiAAlRZv5AaRvIIF/uHkvotSOmVdjvRuf/egydLWbu8TdG2jBL55yYbTAdvyNS2kv+nEizu0OOpPHrJztw4MYHc6/DKN70RL4AwG7XWh5+SYzsdwZTArkxISTNmCCR7sZItC1I3DWAE5ByGlwcpYC39qECT82pjIJ0+z5126PYJiWt+e7zqXZ3Us327fs20qSikHPQBZ3PppEfziDgHsELm8Lzj/Jh+NXqGPKJkRfsudVJPdvz181HdFUd/x5ts6iz9fmdCaLp54fxX9+/xCoSUcv9cHkuncvwGknNk/74DBfeRz+PkXT5WlauTAyMoq2tlZsO+DGo5QgLt91xZlAZ1AEut3cTB2zJv2Soi9cg/2Hc5ncp15ttLS9vqHRyOPWTGdid5/VUT4nJpy0gQ4WHOsUgc6Rio02cQpCToOTjS43qmhhwg+XqUwGR9K4+UeRgsuNN6zw4j1vbOTn8DwWDYxk8O27ExiLZ0nYZlDvGUUs00w/1D24+jwvNiybOMIssfclpHp3F2xT3QlKoOtNMBWnGfYDhxL4zcPD9M84Fi8I4KJzQliywA+/35xj1tK0BDkWi2NwMIwECarY+FhOoDfRnv8nd7ixc0oSbvUB4pzjgNULAJ9XBLrdQWfqmDXVL+oMdJUwLh6LwU37cgKBOqPPQq8GJnb3W6fL58SEkzZwmgPX+kSgcyVjk12cgpDT4GSTu40rVpjwQ2Yqkyglh/vOL8ewvzf/huDLzq3D5hPMWCr6xLYU7nkicWTWOZsT6OPpZuosrtxe73f/Lx+aaIl4ergP8VfypBBXd5IwD6w/A25/HYtOlkplEE9kc0vhvV5zhPmk88bHY+jp7c/9TxUjSqDX1TdQW7zo6OjCeNKNvjAJctpR0NECNNNiDa9HxLkTnc/UMcsJ3+iqQ5jo8nzhejkx4aQN+JHSY5EIdD1+11YrpyDkNDhpA8KsYmHCDMgR8REOhxEMBnOZuE26XtmXxLfvGptlckOdC9fS0V8dIXv3Y1vlq1sfiOOFXZMfGqYLdFq5jg+/JYC2Zg8y8XES6E8iOx6ZVbV/7WnwhszL/myVD60sJ02Z8g+ROI8nJpIPThXoKkY6O1rR3GTG6gwr/cKlLHmPcCFxzA5hIkzm8gAnbcCPlB6LRKDr8bu2WjkFobwwtHWDghULE2FipQfUcupte1K4+9FYLrmaupZ0e3DFa+ux2KAEcfc9m8D9z6WOuGa6QFfnal9ziR8hEujqysSitBd9B9IDPaQcMzRz3gjf0g3wNNNxa56JpfByVeYBdRTWvgO9RwuZKdAbG+vR3dleWSXydNkekPdI2a6z7UFhYptryy6YExNO2qBsh1bZgyLQqwzofM3hFIScBqf5/FYrfy9M+JGuBibDoxmoJe8q43lzgwsqY7hJ18H+JL55d5KOXlJWTxfoF5/mwWnrvPCptdSTEl6dhZ6k7PUqExuJci7L2k3y+Vy2JpMpHOzpg9qHniMyZYm7mkEPtTTRfvRQtTTXuHZUw5hlnNPnMViY8CPKiQknbcCPlB6LRKDr8bu2WjkFIafBSRsQZhULE2ZAjogPU5e48/NmeRaNxZLYdSiLOx5JUUKyCYGuksSdvMaDsze60R70Gbf9oDxP8HhKjVPD4REMDY/mFeiLF3ZRUi/zjovj4d3KrZD3SOU+tKqEdDqLOOWbGB1LITI6gi7a/lFHySB9BuadsMonXMrhFCectAEXPrrtEIGum4DD9XMKQk6Dk8MY2FYnTPihESb6maiZ2mg0jhE6dWl0zIVIRP3QbUHAm0Z7qI5+7Jqxl16/J62zIEkZtvv7BzEeU8n7jiWJU/vPGxsa4KHM23Lp8YCMWXr8PrPWVDqDgZEU9vXHczGSjI3CV9dM+TJ8WNoRgN8nMaKTFKc44aQNdDLhVLcIdE40HLCFUxByGpwccL0RVQgTfpiECQ8mGRLpSZqJGqejvcI0e9vZ0UY/cL2UNVzEuS5C6gx0dRzWGGV0Hx+LUvb2DtpqQFsKVOY+ubR5QMYsba6fVnF0PI2t+yeSdE4V6GobyLLOALpCssrEDlLZdArZNCWwdLnh9hU+qYRTnHDSBnYwMbFMEegmUqvAZk5ByGlwqsClVfWoMOGHU5jwYiI8ePGYFB+yDYQPF4kR/SwUgz19cfSPHDvpYHIGXQn0gM+F9YsbZBbdQlRZ+oibGR9F6tBOpCPDlBTUB9+C5XC3dObNQ8IpTjhpAwuRGF2UCHSj8ZVuPKcg5DQ4le7J6nxCmPDjKkx4MREevHiIQBce/Dyg36IMCfQdB8cxMjZxPOTMGXS1A2TjskYS6rLaxCpa6dFBxF9+ciI56JTL07oAvmXHzZpN5/Qu4aQNrOJhejki0E0nWKL9nIKQ0+BUohur9nZhwg+tMOHFxEoeY3FA/aGV2pS4CWik1ZC0QluuEj1gJZNiq6a8gaDt77nf4opdvawWPuo6HTyK5cbxvpFoBgf703h6eyKXbPK0DT4saPfQiReViefeoURu/3k+gd5c78HqhXXwSq4GS7pEJpnIifMszaDnuwIbzoKnafrJEpzihJM2sARIFRQiAr0KIJbSBE5ByGlwKsWH1XyvMOFHV5jwYmIVj0H6HffgNtAM10T76Hc51iwATlwONBTetsjLGUyssYpJMc3JkCAfGAGe2EH/PPJbvK0JOH0NQHkD6SjBYkqp7nuc5GG6J8ORDH7y+3Hs2Jea1pSNK714y2vr0dJUfoeKJTLYRnvQU5TJfeYM+vol9Wiul6+BVvUftbQ99uLDBYvzLl4L/8LV0/6eU5xw0gZWMTG9HBHomgj+8z//M2677TZs27YN9fX12Lx5M/7lX/4F69evL2jRfffdhwsvvHDW32/duhUbNmwoqiWcgpDT4FSU82rgJmHCD7Iw4cXECh6jlA3+V88C4zQDO/PatGxCpIvQK567FUyKrW0oAtz9zMSqh6mX4vXGUwAl1mv9cpKH6b5+YmsCt5FAz3e965IGnLjaV1ETx+Jp7DtMJ1DQMWtqD3pzcxDLuurQRDPoHjd9FZTLEg9kxiMk0B8qWJZv6Xr4uleKQLfE27VRiAh0TZzf8IY34B3veAdOP/30XBbaT3ziE9iyZQteeuklNDY25rVqUqBv374dLS30qf7I1dnZSUfKFJdJWAS6JuCGVCs/rPiBEia8mFjBY28/cP+L+dvlo6H8TaeCZrd4tZuzNVYwKaZ9dGoV/vAqsO1A/rvVCogz19LHleJex8VUaeQ9TvEw0jlTjI6OZ/DNO6O0vJ06Vp5r5UIPrnlTAwJ0bnkllzpuLZHMYGQkjNZQiMqr8Q5aiTMLPJtNJRF/9RlkaB96viuwcTM8Dcd+t6t7OMUJJ21gAx4jixSBzgTb4cOH0dXVhfvvvx/nnXfenAJ9aGgIIRpky7k4BSGnwakcX1bjM8KEH1VhwouJFTy27AGe3V24XZeRQG+VmdiiwVvBpJjK1J7z3zwPqFn0fFdLA3DJSbQfvca3KDjFoxhmnO8ZHcvgaz+Lon84v0Bf3OnG+y9vRENdZQKdmxjkzKQS29JjI4hvpyRx6oi1KZeXlrar2XOXd/qWAk5xwkkbVMKgmp4Vgc6E5o4dO7B27drcLPqmTZvmFOgrVqxALBbDxo0b8clPfjLvsvdCzeIUhJwGJybdQLsZwkQ7glkGCBNeTKzgsfcwzaC/lL9dJs6gD41maBltFvv6smhtBtYudtMHBhedEW/vEtpkKgu1XWB0LIt4LIzujiBaGly5RFt2XEnaJqy4Hcw/SYauIPA6en37K1uVbIfpjpZpRYw4arCmytK0N/yex+N48NmJRG4zr0vODOCCUwKW9Gdh4gzkTCyC9FAv0uF+uHx+eLuWw1XfDLd39qDAiQknbeAMKf61iEBnwEgF6RVXXAE1M/7ggw8WtEgtbX/ggQdw6qmnIh6P47vf/S6++tWvQi19LzTrru5TfyYvFYRLly7F8PDwtGXyOtzAaXDS0X6OdQoTflSECS8mVvDI7UGnfcwqE/jMa+NS4KQV5uxB7xvK4Ef3JzEWO9YStbX1is1erCGhbtc+17F4Fk/vyOKZV7NIUea2AMLw+4O4+DQ3lnS44LZpf+2BAeDeLfn75PnHA8s6efVXHdZYESM67NZRZ99QOjeLPhabfjRXM31o+uAVjegIWbMcXZg4R1f5GhlKUuFy0/8XXv3AiYnSBmplbjgc1q4NnCPFuyYR6Az4fPjDH8YvfvELPPTQQ1iyZElJFl1++eW5r6t33HFH3uc+85nP4LOf/eysv9uzZ4/2IFSDUyQSQVNTkyVfiEtynNyc1wPChF/HECa8mFjFIxwFntkNRI8IWzXnu7gdWL9o4tguE65YIovfPp3C4eHp4kLZ7iVd8WYS6cHGypfn5vPFqwczeGRbFpkjq4P9iCCBJjrXmZK1kUgPNtozix6njyo7e4FX6c/UayUJ8zULkau/1i+rYqRW/DgQTuMP25LYeXAik/uapV6css6HthZrxLkqU5jw602cmCiBvnz5chHojLqJCHTNMD7ykY/gZz/7WW5mfOXK6RkeizHtc5/7HL73ve9BZXLPd8kMejFelHsmPcDpi65QmfCAMOHVE6zkEaXFTeP0J0mTLeocbXW8mt+gk4/6aO/st+7JswzgCLK3nuPF+qXWiYzJnhAZz+LHD2aOHnNGUZKbQY+D1pjDhfM3uXDGens+DCgbEqSjIvRhpXdYBSjQTSlhGutEnMt7pPyxKplU2zUy1HuBJjr/3Gfx9hArx63yWylPTvUAJyYyg86vb4pA18REBaYS57fffntuibraf17OdfXVV2NwcBD33ntvUY9z2mfCaXAqynk1cJMw4QdZmPBiIjyO8egZyOC/f11YoF96phcnrbJeoA+OZvHNX2WUNj5yTRfoG+mousvOsL5eXj2RrzUSI/zYCBNhMpcHOGkDfqT0WCQCXY/fcd111+EHP/gBfv7zn087+zwYDObORVfXDTfcgAMHDuCWW27J/e+bb74ZKkHc8ccfj0QikZs5/8IXvoBbb70VV155ZVEt4RSE8sIoCpmjNwkTR91dVGXCpCg3OXaT8Djm6uFIFt/5TWLa/vOpIN53iQ8L2qyfyR6OZPCTh7JTsqlPF+ivPd6Fs4+zvl7HOpnhFUmM8AMoTISJCHR+fWAui0Sga+JVKMvst7/9bVxzzTU5q9Q/d+/enZthV9dNN92Er3/96znRrkS8EupKxF966aVFt0IEetGuqskb5SXOB7va3xuhZGLj9M9UfCJDtRXH7fBpoXmWRGgJ6kg0g9HRMDrbQwg1uW1LRmaCd9R48fzODH75xMTe2anXhqVuXHK6l5btW78XPE7LgV/am8VvnpmcQz8m0P20NPiPznNjYZv19ZrAhION8h7hQGG6DcJEmIhA59cHRKCbxcRWa0Wg2+pe4wuXlzgPhGE6Nur+LVmojNG0CR0+2l/bHgriwte4EbIp+RWPlvO14kB/Gnc8lIDad13vGUXW04zXneLHppVeOve6dsWg+oC0tzeD+59PY2AkSx+RgNPXeXDCSg9UJmq7rsPhDF7aB/zhFfqARcdVqT3ogfogXkcxopLtNVpwdrRdtld7ufIe4UdYmAgTEej8+oAIdLOY2GqtCHRb3Wt84fIS148wToLnN8/SmdL9R2w5ItCTlACru9WFN57qqmlBqINQP4nBb/4ihlhC1Z7NCfTxNB34TSmd3n6hH8ctNyizm00OVKsL1Dnh6niz5gb6p01nkU+ar85AH6C96NGYC/Ek1U3noDc0hShhmyt3Frpc+jwg7xF9vi9UszARJiLQ+fUBEehmMbHVWhHotrrX+MLlJa4fYT/NQqr9tUevKQKdziPE1Ztd6CQRIpdzHnh8axL3PD6ZDG26QFcs3nNxIJd5WS7nPaDOQ1dL3sciYXS0BRHwCwfnKUyvUd4jugnMrl+YCBMR6Pz6gAh0s5jYaq0IdFvda3zh8hLXj/DAQBZ3PF5YoF92ugtLO+0T6KoPDAylaP97mo78cqEt5ENdoLZFz0/vi+PF3XQWWu6aLtDVRPFfXFmHtuba9pHOyJFxS6f3RQzy8n5+ayRG+FHixISTNuBHSo9FkiROj9+11copCDkNTtqAMKtYmOgHMu8M+jk0gx60R6BHomk8uWUUt94zgJFImpYrA685rhHvuKwTCzrpoO4ave5/NoH7np1MhDZdoAcpJ8D7Lg0g2CgCXVf3kHFLl+dFDPLyfGFrJEb4keLEhJM24EdKj0Ui0PX4XVutnIKQ0+CkDQizioWJfiAqe/tvC+xBV5mpL1F70P32CPQHngzjG//TO8sJC7t8+NsPLqFEdT79DtJgQe9QBl+/I5ared0S+rNgBI0NTTgw6EFLsxenrqtNv2hAkbdKGbe4kJiwQ3jw4iFM+PHgxoSTNuBJy3mrRKA773OtNXIKQnmJa+0K8kOXn/uPWjRCWdzvez6D3b1ZpClDdZ1nBN3tlKH6ZI9tWdwHhpK48d/3YTA8+8gsZdhff2AxTtrQyNhr9pmmsoTvOpiGz5VAIHYI4YFe1Hk9aGhpRnDhEvgbGuFSyw3k0uIBeZdocXvBSq3kkUxlkEimc4kAfV43Aj43/D4PrwYbYI2VTAxorhEmcmLCSRsYAc8BI0XvN2ncAAAgAElEQVSgO+BkTlVwCkJOgxMnRjptESY6vX+s7t37Y3jqpTGsWNqAdAZIJ8LoPezFiSSQVy+jc6xsuPYfiuPj/2dPwZLfcnEbrry4w4aazSgylYhjdN/LSIzHEIkn0Vzng4cylrtoE3rzsnXwNais7nLp8AD3cSsaTeHQ4Tie3hImsZnByZuCWNRdh1CwOldeWMUjnkhjb18Usfixj4ZejwvLFzTTcX5yckIpsWYVk1Lq1HWvOuFhdAxQ3SZAIdZcD/q4Y8+qs0rayIkJJ21QiU+r6VkR6NVEs4i2cApCToNTEa6riVuEiX7MwyMpfOHrB3Co/1jW8FBjDMNRSkRGP+g/8aHFtiw17+1P5AS6+nGT73r/27px/plB/Q7SZEF8ZBDRgztzy3eVQG+iX35KnKvLW9+EpiVr4PaIaHASzyitNOkdBnb00OxqNoyNq0JobXKhzqYtIOW0bTSSxB2/7sWtv+iZ9vipJwZx7XtWoL21+nI7WPEeSdGXyX0kziNjk+PgMfcpkb56cYvMpJfQIa1gUkJ12m5Vq88e25rBS3uzyNCrjL6hYsNSFzYf50YL5QvhdHFiwkkbcGKk0xYR6Dq9r6FuTkHIaXDSgIJllcJEP5ad+2L4x//YP8WQLC1rnxDo6tztT1y7GGtX0JSAxVeSZva++/M+3PfYyKyS1ezDjdcvx6Ku6hMTxboxQuI8QSI9n0BXZQRXnQCPP1BscSzuy9DHBrvPK7eroWH6If7LJ7MYjFANU44iPGWNCyev4iPSX9w+ik/dtC2vGz7wrmW49PXddrmoqHLVlpaB4RSidGpDW9CLdvrT2FDZEnIr3iMxmj1/ZV+4YBtWLGxGc0N1rkAoClyJN1nBpMQqHb9dHbf4m6czePnA7I/Maxa6cPGpblYf7zgx4aQNHO84TCsUgc4UjF1mcQpCToOTXf42rVxhop/Ytp3juRn0Y9d0gf6x9y/CprUNthh6eDCJr/6gB6/snkiIpi4/zUb+xZ8spDob4WW4TNAWR+QpNNq7D/Gh3rwC3eWmZHErN8Lj4y/QlSiPEt5DwxmMjAMt9K1nQciNRvr+Y4pYT9PU2CNbs3h+9xFQUwQ6LWvAVZtdWNCqf7YsTbPAX/7GLjz0xGDebqqWud/4d+vRGtTz4Wv3gTj+4/u9OYE+eb3muAa8+/L2ilbpWPEeGYul8OqB2R8LJ+1c0tWI1mb+8ebU+DRfPVYwma8O3X/fH87iu79L00GY+a8/eb3HthNQymk7JyactEE5vqzGZ0SgVyPVOdrEKQg5DU411g0KNleY6O8JPX0JfOrLe5GaPHabfm5MzqC7ab3ejf97KRZ32/fDVC2xV8vd1Y/3liYPViypQ2err6bFueoVyfEoRvdszSvQA23daOhcTNqQd6I4Fd8Do1k8syejJp2PXmql/snL3WhvnthTz/FStido+4VK2JdIufDTh0H/zC/QT1gOnLdJP4t4IoPP/7+XsWXraF6XBukEgJs+tRGd7fbFcyGW6mPc5792EOHRowPN0VvPO70Z776sHT5KyFbOZcV7RM2g79gfntZPp9qilrjLPvTi6VjBpPja9Ny573AGP3mQkrYUuK4+141lXeX1aTtaxIkJJ21gh69NLFMEuonUKrCZUxByGpwqcGlVPSpM9ONUP+p/9ttB3P0Aba7NXccE+gVnBPFHl3agvo7Pjwz9HnPGgkw6hfjwYYz17Z+2B90TaEDT4tVGLG8fpyP8Ht+RPiZsp7jOT9vnz1zjse0Iv0ooqf3Iw5Ro7cBAPCfQu4L1+Nlj7tz+UjVjPnWJu/rf6xYBF53MI0bu/PUhfPt/9uVt/lmntuIv/3Ql6uoqW1Jejm+f2xbFl2+ZfaSiKkutlPnHjyzGgs7yZvateI9kaJVE79A4+oePreaZbKcS5su6m3JZ3eUqzgNWMCmuJn139Q5l8f3fz/7gNGnROy9wY2Ebnz7DiQknbaCvB/GqWQQ6Lx62W8MpCDkNTrY73pAKhAkPUOHRFB55ZjQn0kciKSxoT2DzKQtw3ulBhFokEZkuSkqkpxMxDBw6iKY6P/zNISiB7vGVJ2ScbsdQNIMnXy08w3T6ajdaG/n8gJ30zxAlWtt5iNbjH7mCjX48v8uH/f20LJ9UepbEnM8VRgpBOu7OhTecQknEaM8ph6unN4ZPfGEr1MqUqZcSwZ+/4TisWaHn6MLfPRrG9+8cKOiiT394MVYsLm9m36r3iDpibSBM8UZ/VMIvdbU0+Ulk1UuCuBI7t1VMSqzW0dujsSxufySNvslv21Nq72gBrjrXQ1t5eIwLyjROTDhpA0c7DePKRKAzhmOHaZyCkNPgZIevTSxTmPChlluOTHtDY/EMkvFRLF3SBq+Hn3ji4zH7LVEshiNpjEdH0NEeQnOj8zOflbRyMJLBUzsLC/TTVrnR1sSrjymR9vKBMcQoieHkpY6c72hpoll0WuaeS/KdRQB0hJkrmNt7ftnpLrQ08Pkhvpfs//7tB/CH54aRoWasX9WE9759CdasVHkd9Pj7xVfG8KVvH8rbnVQW/H/4iyXo7igvCZuV7xGVM0ElsFR5BxR3P/nLrf5FrpI8YCWTkip2+OaBkSzueCyNIZU88sgVom9gbz7bQ2MGnzFBBLrDHcPA6kSgGwitEpNFoFfivep/tlZe4iaRFCb5aamlzupSRy45cR0aSOHO+6PYujuBRn8U9XTu+ZvPb8LaZT46a9cMwRCNZ/Hoy+mjs5FT/aaWi5+9jmaYAs74s1hmMdry8eLeKb+26UHl78a6eiTTbjy3M0tL37No8ISxcnEQqxa60Uk/xFvsyaNYrNmz7huPk2gYSuZmzVqafWhu0rsSZmA4iZu+0YPDg9Nn9pXhbzwviLdepD4IltcXZMwqu5vY9mAtMRkdz9KH1Imz0JtpHAjR8WrNjD7YTULmxISTNrAtCAwrWAS6YcAqNZdTEHIanCr1a7U8L0z4kRQm05momdRhWqrdN5zObT/uCnroB5jbVpHcT3X9+/+EEaYZaDVb2xSg85njjXTonQvXXt2CdcvNWOKuZiH39mfwyqHZeY7XLnBhWYcbntzGbj5XnHhv3RfNzaBOXp3BAJ7b7cM4zZ4v66Aj7igT/fhYGMOJIAYibpxISeLW0z50065MWmWgVjPFHkeS9R2khJTfuvUwdu6L51zloQUh55/egssuCFW0lUbGLPt7nsrLEKdEesNR+uhDsRGkpf91fk/BffnCxH4mpdbAiQknbVCqH6v1fhHo1Uq2QLs4BSGnwanGukHB5goTfj1BmBxjomZTt+1PYIySnU29mgJurFvsox+o9sxkP/FiDD+8Z3IW95hAV+fSL1/oxQfe2oKmenvqtrpHqkzoQ9EsdvZmyI9AA31bWNWt9p67aPkwL3Gu2q76f89gAj1DEyJSXQtb63H/S57ccUpqljeXKy5FGb+9wVzSuKXtwFnrrPacfeWlU0kkxscwFh4ksZVBoKkZ9U1BeP3l7QEvxdLRKM3s01noMYqppgbK5B/yIlBhHMmYVQqB0u9V2z56BsYwOJI4etqHlz6uqHPhl3Y3UBzP3nojTEr3s91PcGLCSRvY7XdTyheBbgopi+zkFIScBieL3Gt8McKEH0JhcozJQVqOu7svt+l41rV6gQ/dJC7suG65awTPbCc1m7umC3Q14fzx97einWbyc3+rcgeE0xikP3ESPW3039taKDs6s8z7cRLqaj+0SmvAUZhP5ZigWfS9h2MIj00sx1Yz6M/mZtBdE5ncSalPFegnLAM2LLajJ1hfphLnI309iI9NX8bvpunstsUrHBHpVrdKxiyrPTq9vOFIAq/sj1D+hekfKn00BK1c1IjOUN0sA6qJiVpNw22lTznEOTHhpA3K8WU1PiMCvRqpztEmTkHIaXCqsW5QsLnChF9PECYTTBI0a/TSPpo9p33U+a4mys67cWmg7H2zc5G/64EofvfkZBbx6QK9ifY2Xv/uEFpJhKujoV6lGf5v3DaEUVqGry61DP+sExtw+fnNCDWblVSOUzSoWUM1+z9Ge7mVEBmM+vCHnTkP545ZmxToHppR/18nULZvZnvQC/lSCfOhg3vz/nV9SwgtHQsoM70ZqzMmGyFjln2Ro8aYnQcjdATd5AfD6XWFKLfB+qXNs5IPms5E5RzpG0zjafpQemggjeULvDhhjR9drSppIL+VP8X0AE5MOGmDYnxXC/eIQK8FylPayCkIOQ1ONdYNRKAbBFziZAKWEmgv7p29vH0SpRLox5FA95WZ2GquLrG/N4X/+73h3JLqmTPob9hcj4vOaqCZXBd6B5L4wrf6czPnM6/LL2jGJWc3GftjklvIxGghxY4eYPtB5D6MKIHurw/S0nYXZWum49cM+c0+fGg/YpGRvO5Vwrx96Sp4DTnGTwS6/VGiVpO8sn+UkqDNTu6naq+n7T4bljVDnRU/9TL5PaJmzLfuSuKWuyO5VT+Tl5+a+P43N2P1kvJOG7Cf1tw1cGLCSRvo5sKlfhHoXEg4ZAenIOQ0ODnkfvbVmM4kSb9ZRmPAgUEgTj/gF7aC9tbSPlv7t3LaxtZ0JlY5RvnhAM2c7O3Pv8R9ZbePeNuzxF0lKnt6axw//W2UMqAfm0HfsMKPP7q46ejM+EPPRPGDX4bzNlnt7/27P+2gpfD22GiVn00qJ5VGbh/9OK2qGI+G6ei7IJ1Pb4gyP+LoOQW6iwT6MrMEeppmOodHKXlZOIxQKIhWWjVi6gwnx1hQpwEc7I/j0ODkip7pVra3+LGks4HyCUys1lG5BYZp98QrBzOIUSLFtctC6Ai6KGeGOXHST9uFbv7hSK4tM6+2Fjc+TIk6g8yOhyym73B6t3PSBsX4rhbuEYFeC5SntJFTEHIanGqsGxRsrslMlDh/tRf4w6vTm9fWBLx2I+iHu5mUTWZitcdzR27RMvf4jL2X9XRu83FLVBbjY0uBs5QRO5OKIxWjs3ZIVHvrKOs6zUS6PeUJZDVzNTiSwatUf5TOQV+zvA0drR60TDkL/ae/DuPeJ6MFm/3pP+/Cgo7y6rfal9VUnskxEovSbGjPvrw4TFviPkLbOh59IYHHXojBk40g627GuScFcNoGP5rppAW5KveA+kDYR7k49vaN0vnwKuf/xKXkttresby7iT4C+uD3uTBOgvbpV7L4ww51VxZ+hJFAEIvaXbjkFDfLo8fyeeiVfUl87fbRgs77y7e3YBkteTft4jRucdIGpnG0y14R6HZ5lmm5nIKQ0+DEFJfjZpnMZJDe33c/k99lKmHUyStp2auBvxF1MFECOEmzk2qZcB2tHuQ0AzZOIr1/JJ37o65OmpHuaHZPE+eZVAqJ8GGM9+3P/TCdvOraFyLQtgBub/lLIufi8fiWMXznjuG8nTBENn7svR2UNM68H5KOD0QlVqgjRko0seDtKklcmJLEJQxPEheLZ3DXIzE8vU2tcKFz6X0RjCXp6yhJx80n+nHxGXU50ShX5R7oH0pjZCxN+RjidMwaLSGhIS7Y6KNZ8UBuHFzYMTG+HejP4taHJ9eEHxPoisnZx7lw2lo6AUElyWB+bd2VwDfvnJ5EcarJH766mZLjlT+m62o+p3GLkzbQxYNbvSLQuRGx2R5OQchpcLLZ7cYUbzKTZ3eBZlfzu1qdOvOmU82cRXeSSZKWpw7R76BtB7OI0FYBleFbHVm1otNF2wT4/JBTPlG2qkvtOZ/5IzM5NoLInm15O0PjkjXwN7eVHZNz8Tg8lMIX/7sfkbEpGyWP1PSONwRx3qm030Iuyz3gZIxYbjwVmE4mER+PYlwds0Z9O9BIx6w1O3PMmlXtUYm7/u0nNGueC8vpAl2NIx95exMl9JIkiVb4e3A0g/29aezrS2FBmxr/QLPqGXS1ebG4y4Nu8rPqR795OkvHUk5+oJwu0Jvrgbe91m3EUvdeSg73pR+Ep+0/n/RjHa2e+ug7W2jZvnl9i9O4xUkbWBEj1VCGCPRqoFhCGzgFIafBqQQXVvWtJjN57GVa4n6oMJ43n07nxNKPEtMuJ5n0DtNyyF2z9/mFKCP2KatcNJvOR6QX4pjNpBE9uBPJ0aG8t3jqm9C0dF3ZS93n47G3J5GbRe/pn0jipGYNL6LkcOed0kDLfM37EWlCvMzHxIQ2KBsztC1DtUUdsWbCzOZUv6plyN++i7aT5K7pAl39lw9c0YhVi2T1SKV9US1xf+C5FJ56OY0NS90kxifG5MFRSqS2N0NL3D1401ne3MfVux7PYE/fZI3TBbpKsPauC9102gH/MV3lALn3yRh+9xR9NZ5xXXVBA87YFDDy2DVO4xYnbVBpjFTL8yLQq4Vkke3gFIScBqci3Vf1t5nMZG8/8OBL+RG1NwMXHE/Ltf3mIXSKSYyWtT9G+xXH4vl9dOYaF9qb+f+YU8vbI/u2Ix3LvxfcTfvQm5ZvhKfMzNjF8BiJUJIsSpSVII3eTMnh2kMeW45/M68322NxMUzsqVlKnfTAnkMp2ic8GXOzBfp1VzVhCc3uylWZB1SitB/9PpFbvp7vaqFFOu+92E/C240X9pCwfTb/DPqqhcDFtA/d7+U/pqt2qlVJL+9N5kT6MI2vnTRjfvFZ9Vi50Iv6OgP3rqnPWPSxJUzJFIPBoPYPcpy0QWURUj1Pi0CvHpZFtYRTEHIanIpyXg3cZDKTKH1cv/cF0N686aDUz4/Xnwh0h8wE6BST0fEsHtyW/0ef8tzaBfRnIf8fQspf4317ER+kjIF5Ll9zKxoXraKzpcsTC07xMLO36rFamOjx+9Rah2nZ9dd/HqEPUxMJyabuQVdnVb//8kZJFGcBJnUe+M8eTmL7vtnbaFTxasn7O1/nz21JCkezuI32oI/mEr4fm0H3UHKRq2l5e3fIDHE+1W2jlIhQbW9SK5Oa6vm/j+ZCzmnc4qQNLAiTqihCBHpVYCy+EZyCkNPgVLwHq/tO05moHyIv0D50tawvTb9f2mjm/DUrKJEYnYus9qGbeDnFJBIjgb71WFbgmb46fgmwvNOMH0Qqc/voblpOkZ35I9aF5hXHwUvL3Mu9nOJRrn21+Jww4UF9X28K3/nlGMZimaMCXYmoa97UiEWdhg7APFw7zYrdhzL4/u8oOVye64rNPmxaeczXQ/TB5ClaGfXy/gxl1g+ji44iPHujB130wVoJdbn0eYDTuMVJG+gjwqtmEei8eNhuDacg5DQ42e54QyqoBia0jTN3NrJKVqT22Zm4rH1qd3GKSSqTxZY9WfTkSUKufsadu4HErSFn5yqfpcYpi3TPbmQSE+cFu30BNCxYDm9Dc9mz56ocp3gYMmSwMFOYsMCQM2IgTAnM+pLo7RvGwgWtOWHe3iLi3EpC43ES3bQH/YHnJ/JcTF6vWe3B+Sd5Zs0sq1n3CK2QGh0Jo4MEen3AjA+tVvqMY1mcxi1O2oAjKx02iUDX4XWNdXIKQk6Dk0YkrKoWJqxw5IxxkkmUZtGf3Dl7H/qJy11YGJw4Z9eES/0gVUcPubNJSrxFxz6pf6ej1dT+80ovJ3lUamu1Pa+SqGUoCaA6Jsrj9R7dtylMeJEWHvbziNNedLWEfW9fJpfdfGmXG6EmF4nv/GO0MLGfSak1cGLCSRuU6sdqvV8EerWSLdAuTkHIaXCqsW5QsLnChF9PcJrJGM3OjNCk8wAtjQzQ0bJdQRcaSdeaIM5HaH+i+sH6BzqLWe2EPWWdN5fVONhk3YyR0zz49UjnLVI+T8ZjGBkaQCI2Tisg3GikY8ga1FFkPp+jH7Gcb715NUqM8GMmTITJXB7gpA34kdJjkQh0PX7XViunIJQXhrZuIAKdn+uFSYVMwpEMbr0/hl090/edL6F983/0ujqEmq0R6TJuVQiqjMfjJMr7D1JyiRmXPxBAW/ei3JF5XLIhl9G8o4+k6QQCtdxDtce0Y9amtltipJJeYP2zuS0/1LfCIyNoDYXoY6tsObDey6WXyClOOGmD0j1ZnU+IQK9OrgVbxSkIOQ1ONdYNRAwaBFzipDhYz76SJIGe/4y4yzb7cebGype3K0uER3E8rLorTcvah3oPIB6bfQayqqN9wWIE6huMFujpZAKJ6AjGw4PUvzIIUJ6EumA7vIE6q9zoWDlp2l4yEE5heDiM1tYg2lroTG5DtsY45iQHK0om6djJSAQjo5STYyyK9vZ2hIIt8NHKE5M/AjnoQtuq4vQu4aQNbHO4YQWLQDcMWKXmcgpCToNTpX6tlueFCT+SwuT/t3cmUFYV577/ep5nmqGZR5kUFHwqKnE2muSpl8QYEw3Ep0bzotE4BHOvwRdn73J49zlrkOBViRqM8xhFowhOOIADGGZoaHqeT/c5/ao26Yamu6Gb7rP3t/f51VquZNHn7Prq96/a+/x3VX21b00aGiOy8NUG2bCtq6OHTCbpU1Mlow/Oy0WPfevRl59oNuZ128Z1XV7SLnXP6dfftwbdmvOq4o3S3NB6hvjOptpjAHOHjPaVSa+oDsuSD+vknU9qJSm+VgYPypUTDsuSfnkJkmQSdmaZjO7xZA7vy+Gx12vZWfPibSXS1GS2/NjjJ+vrJS0tzWgQL0WDBkhyct+8tHStQQGrSNOzRJM3CJjM+90cDPp+o/PnFzUNQk03J3+q2fdRo0nfM+3tFaOlSXlVszSY/eb2+Lm8nETzv/5IANcZz3pj0B95qUG27OjcoBea837nnJomWem9X+YeLT1620+C+v1mYy62bTIG3R7L0EnJzM2T7Lx+vjXojTWVUrV1fadtS8nKlaz+g3t16oBb/cKOwSdfq5LlXzSYFH4t8v0jzSkaGXkmf4U5HeKrWtlS0iijhqTIUdOyZPCAZF/fb9xi2tt6ampqpWRHqXOZ3Q26nTnPzEg3s+n5jlmneENA07NEkzfwRg19tWLQ9WkS1Yg0DUJNN6eoQvfRxdFEn1h9rUldfURWrqmXZ96olJLyZklJjpMZB2fISTOypSDXTHP5tLz7WUheXt752cDHHJwkxx6SLPHmh2lvS1/r0dt4gv79iElRXVm6XeqqqzptauHgoZKUnOpbg165Zb1Z3l7ZadtsMry8YeMkoQ9OH4h2P9lijla7aX6p8x5l2gSTGyA3JFmp6XLfE9vM/ucWs5za5t6Pk/TUOLnivIFy4Lh0llhHURR7n9q2vcTMmu/cGrKnQd85iz7QLHX37z0/ivhcubSmZ4kmb+AKfB9UgkH3gUh9GaKmQajp5tSXjP18LTTRp15fa/Leihp5ZHFZh4aOHZEsF/yon8l47s8fbGVVEZn/Yr1U1LSfac1Kj5NffC9N+uX0zUxRbX1Ytm6rkJTULMlMT5A8zniO+qCxy9x3bN0s4WZzZN5uJSs3XzJz8pys7n5NEldVvEEaqyt8b9C/XNsody8qdwz6OT/IMWduV8ljz9dIjTlZISnRWHP7bsz8rcmckjcgP0H+8OshZum7OSaCEhUC9rlRUrJDauvMkRydGPSEhJ0GPdEcV0jxhkBfP9t70wpN3qA37QjSdzHoQVKzG23RNAg13Zy6gS4mPoIm+mTuS01KK5rl5oe2SaXZK9pZueq8/jJmmP8SU7W2pbQyIh9/3SSfftvsGIXJoxLl0PFJ0i+3b8z5lpIm+esbVbKluEKqGtIl32wNOOPYLJkwMllSU/qmDn09UEdEdql7qKFO6utqJCE+0Ryxlm3OQjeJrsIhiRgDX2mW8+bmF0iCmU33UwnVVkvllrWdhpyabV5AFBY5LyC0l7WbQ3LbgjJpNO9Q5pyeK6H6cnn4yRqJtMQ5ptyOR2vS7YRtktlW8x8XD5axI9K0N8vX8dk951uLS4wGLc4Muk20mJ6e5qxcyMnOdpL4kSjOO4n78tne21Zo8ga9bUtQvo9BD4qS3WyHpkGo6ebUTXyB/xia6JO4LzXZuDUkf7yvuMtGnvldk9TpiGx9EHoQUTjSIrX19gepSGZaXJ9lkLbbAe787zJjBMNm6W6dVBuDbhft2vKrM/NkwqiUHkTJR3tLIGJm08MV2yW0+RtpaWqU6qYWycnJkZQRkyUh3T992K4KqNm+2cnivnuJNy8fcgaPlESfvHDYbsbHf/65XHZUhOX8f8s1Se/K5Z7HayTU3HFbSbKZOP+Pi4pk4hg7hijRIGDvgxUmz0hlZblU19Q5Br0pVC/ZWemSnpYsAwcUOpncKd4R6Mtne29bockb9LYtQfk+Bj0oSnazHZoGoaabUzfxBf5jaKJP4r7UZGtJSObdXdxVvi35xawCOfygDH0QFET0/md18uiL1kS1dDDowwYkykU/zjNJ6Dhf2C2pmo05r1/ziTSbY71CoYjUmfyAeSZLf2JKsqSPP0ziU/3Tj61JbzKrAxoqdjhGKiUjR5Izs4057/ylj03IFjbtTTP5I7QcYba9skXsPvT5z5TLSUdkyLB+dXLTg1XOjPqeJdXEffMVQ2XoQLKIR2u8bCsLy91P18hxhyTJiEEtEg7VOKtPMrL6mWPW0szWHNhHi313r9uXz/bu1tnV5zR5g962JSjfx6AHRclutkPTINR0c+omvsB/DE30SdyXmtgf9g89VSqff7NzX+LuxW5FvPaiQTKwH7MqnfWCR56tkA9X2YRLHQ26nSP8w4X9zJ5a9nO6MYIiZsa87uuPpKas0jGqdozUmRnDdHOEl91qkDV6oqQMGOZGKH1ah02IJ+Yc9PiEzvtRtXkLsXZrWN5f1SyNoRYZMyRBpo1LlEKzhcPrpcqbS1vkva9Exg4Im/O2myQvo04++VLk6VfL2zGyy9x/eHK+zDw0R4oKeaHVpx1ot4u9urxB/v5ho/MvqcaLjy4yR90lVMv67elO7ozZp6ZLhjn2juINAbvtoMkkT6yuqpSC/FzPx68mb+CNIvpqxaDr0ySqEWkahH1pPKIKLYYujib6xO5rTYp3NMl/PVriZHBvLQnmd7JNEHfg2DSTNKj3mc71Uex9RM8uqZZXl9qzqjsadDGSnpUAACAASURBVHt825WzCySfhHG9B92NK4TNbHP5x287JtWW3Q26Naq5Q4okY8yUblzJPx+pMacvvLg0JCvXtc8fkWLep805NVUGFXhrdstNcsZnlu3ca56a2CKTBlXIhtIMSY0LyavvlIu979iXfyfPzJOmuBSZMiZRigowiNHogXZVyYIX62T1xl33eHvfykiqkdqmTGPY4+TSH2dJXpb/+IeaIxKJmJUjJnSbfNBvxblXmftWcXlESk0umJZQlYwYnCd5mQmS7GF7NHkDv2karXgx6NEiq/S6mgZhXxsPpch9FRaa6JMrGprYZHEbzH70NRsanaPVxo9Mkf75SZjzvci/aVuT3PKIPUaqo0H//sxMOenwDHOmsP9+MOrr8fuOqM7sqa36fJmEG3cdIdU6g24NevrQ0ZI3ety+L+SjT6wrDptTCna2d88ybmiC/PA7Kc6RiV4VOxv44RqRLzc5b0xkojHoy1ZnmP8bJ+OHtEimWa1fb05B/LY4zowTkZ8cm2S2hHgXr1ec3Kr3uX/Uiz16clfZZdAHmpc5/+sHGWYm3T8GvckY84q6Ftm4o1kaTL6JdNPXhxUmSrZZBZCY4J9+VNMQkRVrTf6Mf638CTdWSUJKtgzITZDRAxM9M+mavIFbY0R7PRh07Qr1cXyaBmE0jEcf44q5y6GJPsnRRIcmjU3mh9XXjfLfL1ZIRvKuJHGTx6TIj08yGZGZPXdNqPLKJmksXi/hraudOtvNoBv3lzT2MOlflOdaPG5U9NL7jc7S9s6KfS/061lpZgWHt4arrrFF/mlyUH6+rkUSIpVy4OhsefmDsJPFvdVC2eXWs45m9jzafWbLjrD8v6dqnBUNowcnyKhBpm+Eq2V7VYZMMgktDxzjn61MYbMiYFNp2KzI6Nj/xwxMMuY2XuKdc/x0F7uy4ctNTVL2r6NA7X2r1aDbF4tTR5rEkB69NNHkDXSr6F50GHT3WKuoSdMgxHio6BLtgkATNOlrAvbHVUVNRGrMtne7LDHbzJplZ/bOSNitug3/Sj5lf/C7NXEdMibdrj5Ys65MQi2ZMmpIsjlfPUGyMrxdXtzXmmm/Xr2ZhVq7rkoKmtZJc+nWNoOeYRIpxA+dJHWJBTJ6WLCO8HppmTHoK/vWoDeGwlK8PSTvf1whxSUNcuCELJNZPVMG9t//o+rsM6TGnKLgnEufmy3NzfGypTQiJSaJXGFOnLOsPS9Lv5nSPgb2FZ9d0WCXuNfVh+XjVXXywRc1kp5UJyOG5csZx+XKsEFJvlnxU2dyp3z8z5BZpN+xJJpHyVRzzGVacu+eKfvi2Rd/t+34YM2urIl7GvShZmXDKDOL7kXR5A28aL/GOjHoGlWJYkyaBiFmMIpC7+el0WQ/wUXxa37WxP4g+Wx1s7z+Uagtm7P9cf5vM1Nl2MD9m/WoqhNZs1VkbcnOWblRA8wM0UCRLJf8mJ/1iGI3df3S67aEZMXKSjl4tOlHTdVmX2dIwsaYf/hNi3z/2Fwzm+zND91ogVi/LSx/eqHzJe7jhyfIrJkpkpzUfePbZF42vf9Jhdy9YL3Z07sr6pysRPn3S8fI8MH7P6AYI9HqBT27bkl5k9z16A6z/7/ZeYmVl1HvHA+ZaszsFbMLZeggf2RyLzNHW67cuLuxNff+3br6QcOTPZt57oki9ea0ieWrMeg9YRbLn8Wgx5j6GPQYE7yHzeWHVQ+BufBxP2uyal2zPP56R1Nhz0G+8LQ06W/23fWkWHP+2qcitTuTE7eVTDPhd6LJCeaGSfezHrszazQ/FhtMsiKbMCrFB7NPe/YTu1zU5lF48e0qWbe50azMqJPJ4wrlqGmZTj6FoJVas2rg5WUh+ezb9kni0sze7tmnpMrA/J6Npc3FDXLlDV+ZGe6O85ITzCz6lb8cKZkZ+/eSIyhjxO99aOmKWlnwbGsW/RazX9vkbqi3Z8/HybSJaXLu/8zzxdgvr43I5xtCzoukJrOIxC7bjzMT5smmy9t8BlNHJJt7v/4ZdJa4+31EuRs/Bt1d3p7XhkH3XALVAfDDSp88ftXEZp1+5KUG2Va22/TcbnhPnJ4kM6d2fs5zZyrYH2WfrRf5dF3nGk0fLTJxaPT186serWQazKqGjSbh3Wvv1Uix2dM5sCBRTpyRKUMHJDlHlPmllFY2y8LnKyU3K0EGm+O6QibZ0tcbk2XymDQ5+uB0STNnoget1Jhj1jZsj8iyVU3m5Yo50swkh5syeucxaz0t7ywvk/+abwZUF+U//2O8DCvav1l0v4+RnrLU+Hm7teieRaWyck3rC9L2Bj0tJU7+/cIBTpJQ7cVZGv5tSOr3eDFr484xW6YONnu37aoAPxSSxPlBJR0xYtB16OBaFBh011D7siJ+WOmTza+alFdF5P8+XSfN7Sf82gCPH5YgPz2p+wbA/jh71cyeV5pZ9M5KQZbI8QeZI56iPHnqVz0sMzuDs/zzenn0hYoOCH/2vVz5HweaY/Z8kBHZmo/n3q6W15e1dob2mfWv/Hm+DPfJ8t39uePY4+XC5tx3u/phf08OeGVJiTz8hE253nm5Ze4BMnKYnW3tefHzGOl5a3V+I2L6x58Wl8mHK03yD6e0N+j2xdbV5xWa5Jb6DXqlmUEvrTZ76rc2tduHbnOPHDA4yRxRFm9WB3R/e4eXijkJLU0yxW0VO49Zi5hj1kaaY9ZyMuIlJcm7lwyavIGX+miqG4OuSQ0XYtE0CHmIuyB4D6tAkx4Cc+HjftWk2sz2/emFetlhkkN1Vo6ZmiTHT+/+DLqdMXztM5Hyms6h98s2Bv1AMT9yoiuKX/WwVLaXNcvND5c4S9v3LNbszTU/2Avz9f9gLzOz5zfPL5W6htZ2tDfox0xPlx+eYDoEpUsCa9bVyjW3fNPp3wvykuSPV4yTfvn7t0c53FgvlWVlkpuXL/Gp3X8Jh1x9S+DrtQ1yx8IdnRr0783Mku/NzN7vFzx9G+ner7Z+e4us+GdEpoyKk6q6sDSabRlpJt9CZmqCLDc5J46eFC+D8v1h0FtbGjFG3Sbyq6mqlPz8XLOn3tv4NXkDN/uW5row6JrViUJsmgahn3/oRkEaFZdEExUytAvCz5p8/E2TLH6747pEm839l6en9Xjf7Fdmwm+5OWu5szJjvMgYkywu2sXPeqxe3yh3PFraJaLLflYgY4d3/6VJtFl3df0dJpP+/7l/h5hJwjbzkZW66+i7aRNSZc5puV6F54t6q6qb5YHHNsjyFZUd4r30vBFy5PSeH1MXMefSR3ZslqbPl0plba3kZGVJ8oEzJL5goMQl739meF8AVRhkdW1YnnurSt7+qNZEt2sGfZhZXXLhjwp8sbzdYt1QYlbMLGtxEsMNNN0yI6VFquvjzCz0Tuizjowz/+6twd0f+TU9SzR5g/1hGcTvYNCDqOpe2qRpEGq6OcVYN+iyuWiiryf4WRO7D/29z5vkXfNfq5mySa1mfSfVOZu3p8upa8x2yiUrxSwNbK9TfzNZetREMTMq0dfPz3qs3mAM+sKuDfrl5xTImGH6DXqd6VcP/LVc1rRldm4/gz7ntByZNoGZ232NhrLykCxZVi4vvrldrGG3mdvPOm2QjDdJ4tLN7GRPSku4WZq/+USaPv67swy5Oj5FsiKNzkkLSYd9VxJHTTaJvXp2zZ7Uz2c7J2BNus3i/v6nNdIcqpEpE/vJiMEpkp+jf6VMa4sqzLnhf3nHzDh3sl0qw9zzZ82IkyyzF91vRdOzRJM38JuO0YoXgx4tskqvq2kQaro5KZXL9bDQxHXk+6zQ75qEmnaeg25/ZCWa3+e5Zr9gbub+7521Jt3OnKwp3nnM2thBIv1zzKyKC+bciuVnPUrKzdLwP5VIfdvS8F3dLz01Tn73i0Lpl+ePH+7fbgrJXY+VOZmdrSZ2Br2mMV36m/j/91n5xoBgBvd5c/lXfy41x3HZff02SWBO9v7tEYlUlUnDi/NFjFHf06BLUrKknjJb4rN6PivfnTbwmX0T8PN9y+ZbWL1Z5I1P22/NsXvQT5keJyMG+M+ca3uWaPIG++7NsfEJDHps6NzWSk2D0M8PjKB2GzTRpyyadK5Ja/I5a/rdLH7WwyaO+vjLBpn/t3LnqKLWYpeOzjktTw4xS8P3N+mYmxrYuuz+zX9uMlso3qyW1eYIpoLMOpk0tkBOPjLTyUxPcZdAeOs6afz7IqfSDgbd/FvKiWdLQn8Xjllwt9m+qc3P963W8W5XTn2+zrzwNSv2C82qqUnD40yCOOnxSiwtomnSRJM30KKP13Fg0L1WwOX6NQ1CTTcnl2VQWx2a6JMGTXRp4nc9Qk0R2VLSLG99UCtbzdLXQf0S5ZhDM6SoMFGSPcwi3FOVd5hTAp57LyxD+plVGRktEmqokm3V2WayNl6Om5pgVlT4c1atpxy0fD68bYM0vv541wb9pJ9KQuEQLeHGXBx+v2+1CmZXejSbVTP2xWyCnUL3cdGkiSZv4GNJ+zR0DHqf4tR/MU2DUNPNSb9y7kSIJu5w7kktaNITWtH/bFD0sDPQdvtBssmGnJTorx+6NvbXPgrLqg27srinxFVJY4vN3B4nZ34nQYb19+7Iouj3Qn01RKrLpeHlBWIOpO84g56aIaknnyPxmWYvCsUTAkG5b3kCL0qVatJEkzeIEm7fXRaD7jvJehewpkGo6ebUO6rB+Taa6NMSTXRpgh7e61FZ2yLzXzFJydqSRrXI7gb9wBFxcvKhLHN3U6mWSFjCG1dL6N1nnZwAbUni4uMleeYZklA02vOjpNzkoa0u7lvaFNGVz0STN9CnlDcRYdC94e5ZrZoGIQ8Mz7pBlxWjCZroI6ArIsaI93rYhIPWoIfNUtedpb1Bn2QM+ikYdNeFagmb0xoqS6XJZHOvLC+XnIJ+kjR2isRnF0hcAi9MXBdktwq5b3lJv/O6NWmiyRvoU8qbiDDo3nD3rFZNg1DTzckzQZRVjCbKBLHWw8xGVVZWSk5ODjNQCuRBD+9FCJkl7i9/EJZvNnW+xP2HRyfIiIEscXdbqUazZaKkskXWbTFZ4RsqJCEtV0YVJUlhjv+2UbjNLtr1cd+KNuGeX1+TJpq8Qc9JBvMbGPRg6tplqzQNQk03pxjrBl02F0309QQ00aUJeujQo6QyIoveDEtDU/sZdGvMTzmUJHFuq9RsknetWh+RVz60+w52rWiIM0cEfO+wBDlgSLxvTghwm50b9XHfcoNyz+rQpIkmb9AzisH9NAY9uNp22jJNg1DTzSnGugEG3UeCM050iYUeevQoNSb9s7UR+eeWiKQmVMlBY/NkxKB4yUrzV9I7PUT3P5Ky6hb582tN5vi79i9MbNK+tGSRn52QJLmZ6LL/hHv3Te5bveMXjW9r0kSTN4gGaz9eE4PuR9V6EbOmQajp5tQLpIH6KprokxNNdGmCHrr0CJuz3esbWqS2plL6F+ayDcQjedZvi8hfljju3JT2OQHsv/zk2EQZUsi2A4/kYauUV+D3Uq+mZ4kmb6BQKk9CwqB7gt27SjUNQk03J+8U0VUzmujSw/mpyx50VaKghyo5dtpBxojnomDQPZdgrwEwRvTpo0kTTd5An1LeRIRB94a7Z7VqGoSabk6eCaKsYjRRJgjmQ50gjBF1kmDQFUjCEncFIvhktlY3Kfei0/Qs0eQN3FNAd00YdN369Hl0mgahpptTn4P26QXRRJ9waKJLE/TQpQcz6Dr02GeSuKEmSZxJGEfxhgD3LW+4761WTZpo8gb6lPImIgy6N9zbar3nnnvktttuk61bt8qkSZPkzjvvlKOPPrrLqJYsWSKXX365rFy5UoqKiuSqq66SX/7yl91uhaZBqOnm1G2AAf8gmugTGE10aYIeuvTAoOvRo/WYtQ++ahb7WyM3N1sOPSCRY9YUSMR9S4EIe4SgSRNN3kCfUt5EhEH3hrtT66JFi+Scc84Ra9KPPPJIuf/+++Whhx6SVatWybBhwzpEtnbtWpk8ebKcf/75cuGFF8q7774rF198sTz++OMya9asbrVE0yDUdHPqFrwY+BCa6BMZTXRpgh669MCg69Mj1BSR0rJKKcjPkeQkEsNpUIj7lgYV2segSRNN3kCfUt5EhEH3hrtT62GHHSaHHHKI3HvvvW1RTJgwQU4//XS56aabOkR29dVXy7PPPitffvll29/s7Pmnn34qS5cu7VZLNA1CTTenbsGLgQ+hiT6R0USXJuihSw8MOnroI6AvIu5baLI3Apq8gT6lvIkIg+4NdwmFQpKeni5PPvmknHHGGW1RXHrppbJixQqxS9n3LDNnzpSDDz5Y7rrrrrY/LV68WM4880ypq6uTpKSkDt9pbGwU+19rsYNw6NChUlFRIdnZ2R61fme1PDA8xd9p5WiCJvoI6IqIMaJLD54l6KGPgL6IuG+hyb4Mem5urlRWVnruDfQp5U1EGHRvuMuWLVtk8ODBzjL1GTNmtEVx4403yoIFC+Trr7/uENm4ceNk9uzZcs0117T97b333nOWx9vrDRo0qMN35s2bJ9ddd12Hf1+/fr3ng9A+MGpqaiQzM5Ozaz3qh3tWiyZKhNgtDDTRpQl66NKj1aDzLNGjC2NEjxatkaAJmuzLoA8fPhyDrqibYNA9EqPVoFuDfcQRR7RFccMNN8jChQvlq6++6tSgz5kzR+bOndv2N2vwjzrqKCfJ3MCBAzt8hxl0jwT2abW8ZdcnHJro0gQ9dOnRatDtzE9OTg4vexXIwxhRIMIeIaAJmuzLoDODrquPYNA90sOtJe57Nk/TPhMeGB51vr1UiyZooo+ArogYI7r0wKCjhz4C+iLivoUm+zLo9gUnS9z19BMMuoda2CRx06ZNc7K4t5aJEyfKaaed1mWSuOeee87J8t5aLrroImfPOkniPBQyQFXzENcnJpro0gQ9dOmBQUcPfQT0RcR9C00w6Pr6wN4iwqB7qFfrMWv33Xefs8z9gQcekAcffNA549zuBbFL2Tdv3ix//vOfnShbj1mzR6zZo9asKbdZ3DlmzUMRA1Y1D3F9gqKJLk3QQ5ceGHT00EdAX0Tct9AEg66vD2DQFWtiZ89vvfVWZw+5PeP8jjvuEJut3RabEG7dunXy1ltvtbXAZne/7LLLHBNfVFQk9ug1a9K7W1ji3l1Ssfk5HuL6dEcTXZqghy49MOjooY+Avoi4b6EJBl1fH8Cg+0uTqEaLQY8qXt9fnIe4PgnRRJcm6KFLDww6eugjoC8i7ltogkHX1wcw6P7SJKrRYtCjitf3F+chrk9CNNGlCXro0gODjh76COiLiPsWmmDQ9fUBDLq/NIlqtBj0qOL1/cV5iOuTEE10aYIeuvTAoKOHPgL6IuK+hSYYdH19AIPuL02iGi0GPap4fX9xHuL6JEQTXZqghy49MOjooY+Avoi4b6EJBl1fH8Cg+0uTqEaLQY8qXt9fnIe4PgnRRJcm6KFLDww6eugjoC8i7ltogkHX1wcw6P7SJKrRYtCjitf3F+chrk9CNNGlCXro0gODjh76COiLiPsWmmDQ9fUBDLq/NIlqtBj0qOL1/cV5iOuTEE10aYIeuvTAoKOHPgL6IuK+hSYYdH19AIPuL02iGi0GPap4fX9xHuL6JEQTXZqghy49MOjooY+Avoi4b6EJBl1fH8Cg+0uTqEaLQY8qXt9fnIe4PgnRRJcm6KFLDww6eugjoC8i7ltogkHX1wcw6P7SJKrRYtCjitf3F+chrk9CNNGlCXro0gODjh76COiLiPsWmmDQ9fUBDLq/NIlqtBj0qOL1/cV5iOuTEE10aYIeuvTAoKOHPgL6IuK+hSYYdH19AIPuL02iGi0GPap4fX9xHuL6JEQTXZqghy49MOjooY+Avoi4b6EJBl1fH8Cg+0uTqEaLQY8qXt9fnIe4PgnRRJcm6KFLDww6eugjoC8i7ltogkHX1wcw6P7SJKrRYtCjitf3F+chrk9CNNGlCXro0gODjh76COiLiPsWmmDQ9fUBDLq/NIlqtJWVlZKbmysbN26U7OzsqNa1r4vzwNgXIff/jibuM99XjWiyL0Lu/h093OXdndrQpDuU3PsMerjHurs1oUl3Sbn3OU2a2Mm7oUOHSkVFheTk5LgHgZq6JBBnOkgLfGKHwKZNm5xBSIEABCAAAQhAAAIQgAAEIGAJ2Mm7IUOGAEMBAQy6AhHcDCESiciWLVskKytL4uLi3Ky6Q12tb+w0zOZ7CkJR5WiiSIx/hYImujRBD1162GjQRJcm6KFLD8aIPj20aWLnaqurq6WoqEji4+N1AouxqDDoMSa4puZq2g+viYuXsaCJl/Q7rxtNdGmCHrr0aP2ha5dl2i1cXm/d0kfH/YgYI+4z31eNaLIvQu7/HU3cZ+6nGjHoflIrYLFyc9InKJqgiT4CuiJijOjSA4OOHvoI6IuI+xaa6CNARHsjgEGnf3hGgAeGZ+i7rBhN0EQfAV0RMUZ06YFBRw99BPRFxH0LTfQRICIMOn1AJYHGxka56aabZO7cuZKSkqIyxlgLCk30KY4mujRBD1162GjQRJcm6KFLD8aIPj3QRKcmmqJiBl2TGsQCAQhAAAIQgAAEIAABCEAAAjFLAIMes9LTcAhAAAIQgAAEIAABCEAAAhDQRACDrkkNYoEABCAAAQhAAAIQgAAEIACBmCWAQY9Z6Wk4BCAAAQhAAAIQgAAEIAABCGgigEHXpAaxQAACEIAABCAAAQhAAAIQgEDMEsCgx6z03jf8nnvukdtuu022bt0qkyZNkjvvvFOOPvpo7wOLwQjefvttR4uPPvrI0WPx4sVy+umnxyAJHU22pxv89a9/la+++krS0tJkxowZcsstt8gBBxygI8AYjOLee+8V+9+6deuc1tt71rXXXiunnHJKDNLQ12Q7Zq655hq59NJLnWcJxX0C8+bNk+uuu65dxQMGDJDi4mL3g6HGNgKbN2+Wq6++Wl566SWpr6+XcePGycMPPyzTpk2DkssERowYIevXr+9Q68UXXyx33323y9FQnWYCGHTN6gQ4tkWLFsk555wj1qQfeeSRcv/998tDDz0kq1atkmHDhgW45TqbZh/c7777rhxyyCEya9YsDLrHMn33u9+Vs846Sw499FBpbm6W3//+9/L555874yMjI8Pj6GKz+ueee04SEhJkzJgxDoAFCxY4L7U++eQTx6xTvCPwwQcfyJlnninZ2dly7LHHYtA9ksIa9Keeekpef/31tgjsmCksLPQoIqotLy+Xgw8+2BkXF110kfTv31++/fZbsUZx9OjRAHKZQElJiYTD4bZav/jiCznxxBPlzTfflGOOOcblaKhOMwEMumZ1AhzbYYcd5phBOyPVWiZMmODM2tqZEIp3BOLi4jDo3uHvtGb7ULc/rJYsWSIzZ85UFl3shpOfn++Y9PPOOy92IXjc8pqaGudZYl/2Xn/99TJ16lQMukeaWIP+zDPPyIoVKzyKgGr3JPC73/3Oefn+zjvvAEchgd/85jfy/PPPy+rVq8X+9qJAoJUABp2+4DqBUCgk6enp8uSTT8oZZ5zRVr9dmmgf7NaEULwjgEH3jn1XNa9Zs0bGjh3rzKJPnjxZX4AxFpGdAbH3r5///OfODPrEiRNjjICe5loN7IuSO+64w5mBwqB7p4016PaFVU5OjqSkpIh9EX/jjTfKqFGjvAsqxmu296aTTz5ZNm3a5Py2Gjx4sNjl1Oeff36Mk/G++fa3cFFRkVx++eXO9hwKBHYngEGnP7hOYMuWLc5Dwr7VtXtrW4t9kNtlo19//bXrMVHhLgIYdF29oaWlRU477TSxSxWZBfFWG/uC5IgjjpCGhgbJzMyUxx57TE499VRvg4rh2p944gln1vzDDz+U1NRUDLrHfcFulaqrq3P2OG/bts3RxubRWLlypRQUFHgcXWxWb8eFLdYE/uhHP5Lly5eLnbW12wrPPffc2ISipNV/+ctf5Oyzz5YNGzY4Rp0CAQw6fcBTAq0G/b333nN+7LaWG264QRYuXOg80CneEcCge8e+s5p/9atfyQsvvCD/+Mc/ZMiQIbqCi7Fo7IyH/TFVUVEhTz/9tJM3w85KMYPufkfYuHGjTJ8+XV599VWZMmWKEwAz6O7rsLcaa2trnX3OV111lWMQKe4TSE5OdsaJ/b3VWi655BKxeRuWLl3qfkDU2EbArmyw+tj8JhQI7EmAGXT6hOsEWOLuOvIeVYhB7xGuqH7417/+tbOn02bZHzlyZFTr4uI9J3DCCSc4BsTORlHcJWDHhd0iZZOQtRa79cDev+Lj46WxsbHd39yNjtpaCdgEWDax4u75ZqDjHoHhw4c7Scjsy8TWYrWwqxtsdneKNwRsJne79cOe1mJXyFEggEGnD6ggYPem2SM+bGKf1mJnoeyNiiRx3kqEQfeWv63dLmu35twed/fWW285+88p+ggcf/zxMnToUHnkkUf0BRfwiKqrqzscVzRnzhwZP368c6QUuRq87wD2JYl9gXXBBRc4RxJS3Cdgl1Db1Sa7b4+67LLLZNmyZe1m1d2PLLZrtPka7Itdq01iYmJsw6D1nRJgBp2O4QmB1mPW7rvvPmeZ+wMPPCAPPvigs1fNvvGluEvAZkK2ichssUey3H777c6xLDb5EsfeuauFrc0m8bH7m//2t7+1O/vcJl+y56JT3Cdgk/jYM8+tIbfm0O5/vvnmm+Xll192Zqgo3hNgibu3GlxxxRXygx/8wHlmbN++3ZmltVtAbO4GnuveaGOXsttcP/Z8ensUod2DbhPE2d9cP/3pT70JKsZrjUQizoq4n/zkJ84zhAKBzghg0OkXnhGws+e33nqrbN261ZntsFl4OULKGznsLK015HsWmyGZ2UH3NenquJX58+fL7Nmz3Q+IGp2j1N544w3nfmVflBx00EHOTC3mXE/nwKB7q8VZZ53lbMfZsWOHc/b54YcfLn/84x/J0eCtLM4xXnPnznWO8rLG0OYDwwc8gQAACPVJREFUIIu7d6LYvBl2/7lNiGwTKlIggEGnD0AAAhCAAAQgAAEIQAACEIAABJQSYAZdqTCEBQEIQAACEIAABCAAAQhAAAKxRQCDHlt601oIQAACEIAABCAAAQhAAAIQUEoAg65UGMKCAAQgAAEIQAACEIAABCAAgdgigEGPLb1pLQQgAAEIQAACEIAABCAAAQgoJYBBVyoMYUEAAhCAAAQgAAEIQAACEIBAbBHAoMeW3rQWAhCAAAQgAAEIQAACEIAABJQSwKArFYawIAABCEAAAhCAAAQgAAEIQCC2CGDQY0tvWgsBCEAAAhCAAAQgAAEIQAACSglg0JUKQ1gQgAAEIACBnhCYPXu2LFiwoMNXVq9eLWPGjJGNGzfKvHnz5KWXXpIdO3bIoEGD5PTTT5drr71WCgoK2r53zDHHyNSpU+XOO+9s+7e77rpLrrrqKpk/f76cffbZPQmLz0IAAhCAAAQg0AMCGPQewOKjEIAABCAAAa0ErEHftm2bY6J3L4WFhbJ+/Xo54ogjZNy4cXL99dfLyJEjZeXKlXLllVdKKBSS999/X/Lz852v7WnQ//CHP8htt90mTz31lJx66qlam09cEIAABCAAgUAQwKAHQkYaAQEIQAACsU7AGvSKigp55plnOqA45ZRT5IsvvpBvvvlG0tLS2v5eXFwso0ePlnPPPVfuvffedgb9jjvukEsuuUQWLlwozz//vBx11FGxjpj2QwACEIAABKJOAIMedcRUAAEIQAACEIg+ga4MellZmfTr109uuOEGmTt3bodALrjgAmd2vLS0VOLi4pwZ9MmTJztm//XXX5dXXnlFpkyZEv0GUAMEIAABCEAAAoJBpxNAAAIQgAAEAkDAGvRHH31UUlNT21pjZ86vuOIKOfzww2Xx4sXOnvM9i50pv/zyy53l8f3793cM+tKlS52PffrppzJ+/PgA0KEJEIAABCAAAX8QwKD7QyeihAAEIAABCOyVgDXomzdvbluqbj+ckZEhGzZs2KtBv/322+W3v/2tbN++Xex+dWvQExISZMWKFXLsscfKE088IYmJidCHAAQgAAEIQMAFAhh0FyBTBQQgAAEIQCDaBLpa4m6XrlvjbZPDXXPNNR3C6GyJu83ibq93wgknyMyZM2XRokWSlJQU7SZwfQhAAAIQgEDME8Cgx3wXAAAEIAABCASBwN6SxJ188slO1nZ75Fp3k8TZY9Y+++wzx6TPmDFDnnzySUx6EDoKbYAABCAAAdUEMOiq5SE4CEAAAhCAQPcI7M2gW2NuTfaECRM6HLPW2Ni412PWrLE/7rjjnGXy1qQnJyd3LyA+BQEIQAACEIBAjwlg0HuMjC9AAAIQgAAE9BHYm0G30dqz0OfNmycvv/yyk7F94MCBTtI4e855QUFBW4P2PAfd/mHVqlVy/PHHy/Tp0+Xpp5/GpOuTn4ggAAEIQCAgBDDoARGSZkAAAhCAAAQgAAEIQAACEICAvwlg0P2tH9FDAAIQgAAEIAABCEAAAhCAQEAIYNADIiTNgAAEIAABCEAAAhCAAAQgAAF/E8Cg+1s/oocABCAAAQhAAAIQgAAEIACBgBDAoAdESJoBAQhAAAIQgAAEIAABCEAAAv4mgEH3t35EDwEIQAACEIAABCAAAQhAAAIBIYBBD4iQNAMCEIAABCAAAQhAAAIQgAAE/E0Ag+5v/YgeAhCAAAQgAAEIQAACEIAABAJCAIMeECFpBgQgAAEIQAACEIAABCAAAQj4mwAG3d/6ET0EIAABCEAAAhCAAAQgAAEIBIQABj0gQtIMCEAAAhCAAAQgAAEIQAACEPA3AQy6v/UjeghAAAIQgAAEIAABCEAAAhAICAEMekCEpBkQgAAEIAABCEAAAhCAAAQg4G8CGHR/60f0EIAABCAAAQhAAAIQgAAEIBAQAhj0gAhJMyAAAQhAAAIQgAAEIAABCEDA3wQw6P7Wj+ghAAEIQAACEIAABCAAAQhAICAEMOgBEZJmQAACEIAABCAAAQhAAAIQgIC/CWDQ/a0f0UMAAhCAAAQgAAEIQAACEIBAQAhg0AMiJM2AAAQgAAEIQAACEIAABCAAAX8TwKD7Wz+ihwAEIAABCEAAAhCAAAQgAIGAEMCgB0RImgEBCEAAAhCAAAQgAAEIQAAC/iaAQfe3fkQPAQhAAAIQgAAEIAABCEAAAgEhgEEPiJA0AwIQgAAEIAABCEAAAhCAAAT8TQCD7m/9iB4CEIAABCAAAQhAAAIQgAAEAkIAgx4QIWkGBCAAAQhAAAIQgAAEIAABCPibAAbd3/oRPQQgAAEIQAACEIAABCAAAQgEhAAGPSBC0gwIQAACEIAABCAAAQhAAAIQ8DcBDLq/9SN6CEAAAhCAAAQgAAEIQAACEAgIAQx6QISkGRCAAAQgAAEIQAACEIAABCDgbwIYdH/rR/QQgAAEIAABCEAAAhCAAAQgEBACGPSACEkzIAABCEAAAhCAAAQgAAEIQMDfBDDo/taP6CEAAQhAAAIQgAAEIAABCEAgIAQw6AERkmZAAAIQgAAEIAABCEAAAhCAgL8JYND9rR/RQwACEIAABCAAAQhAAAIQgEBACGDQAyIkzYAABCAAAQhAAAIQgAAEIAABfxPAoPtbP6KHAAQgAAEIQAACEIAABCAAgYAQwKAHREiaAQEIQAACEIAABCAAAQhAAAL+JoBB97d+RA8BCEAAAhCAAAQgAAEIQAACASGAQQ+IkDQDAhCAAAQgAAEIQAACEIAABPxNAIPub/2IHgIQgAAEIAABCEAAAhCAAAQCQgCDHhAhaQYEIAABCEAAAhCAAAQgAAEI+JsABt3f+hE9BCAAAQhAAAIQgAAEIAABCASEAAY9IELSDAhAAAIQgAAEIAABCEAAAhDwNwEMur/1I3oIQAACEIAABCAAAQhAAAIQCAgBDHpAhKQZEIAABCAAAQhAAAIQgAAEIOBvAhh0f+tH9BCAAAQgAAEIQAACEIAABCAQEAIY9IAISTMgAAEIQAACEIAABCAAAQhAwN8EMOj+1o/oIQABCEAAAhCAAAQgAAEIQCAgBP4/4rJRpENlKo0AAAAASUVORK5CYII=\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset = gw_sel_int.sort_values(by=['FOK','imperv_buf'])[:100]\n",
    "plt.figure(figsize=(10,8))\n",
    "\n",
    "sns.scatterplot(x='FOK', y='imperv_buf', data=subset, \n",
    "                 hue='r2+NSE',palette=\"coolwarm_r\", alpha=0.9)\n",
    "plt.grid(True, alpha=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "2f52f7f5",
   "metadata": {
    "scrolled": false
   },
   "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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Subset data\n",
    "\n",
    "subset = gw_sel_int.sort_values(by='dist_pww')[:100]\n",
    "plt.figure(figsize=(10,8))\n",
    "\n",
    "sns.scatterplot(x='dist_pww', y='FOK', data=subset, \n",
    "                 hue='r2+NSE',palette=\"coolwarm_r\", alpha=0.9)\n",
    "plt.grid(True, alpha=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "c258aecc",
   "metadata": {
    "scrolled": true
   },
   "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": {
      "text/html": [
       "<img src=\"data:,\" width=\"0\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'r2')"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "\n",
    "gw_sel_int2=gw_sel_int.sort_values(by='dist_pww')\n",
    "\n",
    "# Data for a three-dimensional line\n",
    "zline = gw_sel_int2['r2'][:100]\n",
    "xline = gw_sel_int2['dist_pww'][:100]\n",
    "yline = gw_sel_int2['FOK'][:100]\n",
    "ax.scatter3D(xline, yline, zline, c=zline, cmap='viridis_r')\n",
    "ax.set_xlabel('Dist waterworks')\n",
    "ax.set_ylabel('Filter depth')\n",
    "ax.set_zlabel('r2')\n"
   ]
  }
 ],
 "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": "3.9.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}