07.a.GWL_lows_highs.ipynb

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   "source": [
    "# GWL delay response to precipitation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dd31c568",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import warnings\n",
    "from functions import setinputdataset\n",
    "from dateutil.relativedelta import relativedelta\n",
    "from statistics import mode\n",
    "import seaborn as sns\n",
    "%matplotlib notebook\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e567aff5",
   "metadata": {},
   "source": [
    "The GWL response to precipitation depends on the hydrogeology. Highly porous aquifers with pore-conected areas can quickly varies according to changes in rainfall amount. Therefore, the summer and winter months, defined based on the precipitation and temperature regime of certain area frequently does not match with the GWL changes. To evaluate GWL projections and actual seasonal affectations of climate change on GWL, the delay response of the aquifer to precipitation should be known. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bc1b18aa",
   "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": 4,
   "id": "21210c83",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#list of wells with NSE>0.5 and r2>0.6\n",
    "well_list = pd.read_csv(path+\"/well_list60.txt\")\n",
    "\n",
    "#Import spatial information per well -- results of the Accuracy_plot script\n",
    "\n",
    "gw_sel_int=gpd.read_file(pathshp+\"gw_sel_int.shp\")\n",
    "gw_sel_proj=gw_sel_int.copy()\n",
    "#gw_sel_proj=gw_sel_int.loc[gw_sel_int.MEST_ID.isin(well_list.MEST_ID)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "05c5834d",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#Read groundwater level time series, the meteorological records associated and the GWL projections\n",
    "datagw=pd.read_pickle(pathpick+\"GWfilldatamod2.pkl\")\n",
    "datapr=pd.read_pickle(pathpick+\"dataprt.pkl\")\n",
    "datatm=pd.read_pickle(pathpick+\"datatmt.pkl\")\n",
    "datarh=pd.read_pickle(pathpick+\"datarht.pkl\")\n",
    "\n",
    "#This file contains the GWL associated with each well  id and it is generated in the projection code GWLproj_analysis_monthly\n",
    "dataproj= pd.read_pickle(pathpick+\"gw_sel_projr.pkl\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a9716912",
   "metadata": {},
   "outputs": [],
   "source": [
    "Proj_names=[\"MPI_WRF361H\", \"MPI_CCLM\", \"MIROC_CCLM\", \n",
    "         \"HadGEM_WRF361H\", \"ECE_RACMO_r12\", \"ECE_RACMO_r1\"]\n",
    "pjname=Proj_names[3]  #Only the climate model HadGEM_WRF361H is selected "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e367056d",
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   "outputs": [],
   "source": [
    "#Create columns to storage the mode of the months where a local maximum and minimum occur in the GWL projections. \n",
    "gw_sel_proj['winterproj']=np.zeros(len(gw_sel_proj))\n",
    "gw_sel_proj['summerproj']=np.zeros(len(gw_sel_proj))\n",
    "\n",
    "for w in dataproj.MEST_ID:\n",
    "    Well_ID=int(w)\n",
    "    data=setinputdataset(Well_ID,datagw)\n",
    "    dfwell=data.setinputdata(datapr, datatm, datarh)\n",
    "    dfw=dfwell.set_index(\"dates\")\n",
    "\n",
    "    indwell=dataproj.loc[dataproj.MEST_ID==Well_ID].index[0]\n",
    "    dfproj=dataproj[ pjname+'_proj'][indwell]\n",
    "    \n",
    "    ind12m=np.where(dfproj.index[:12].month==12)[0][0]\n",
    "    idat=dfproj.index[ind12m]\n",
    "\n",
    "    maxv=[]\n",
    "    minv=[]\n",
    "    \n",
    "    maxvpr=[]\n",
    "    minvpr=[]\n",
    "    for i in range(0,len(dfproj.Sim),12):\n",
    "        dfwind=dfproj.Sim[idat+relativedelta(months=+i):idat+relativedelta(months=+i+12)]\n",
    "        maxwind=dfwind.max()\n",
    "        minwind=dfwind.min()\n",
    "        m=dfwind.loc[dfproj.Sim==maxwind].index[0].month\n",
    "        mi=dfwind.loc[dfproj.Sim==minwind].index[0].month\n",
    "        maxv.append(m)\n",
    "        minv.append(mi)\n",
    "        \n",
    "        \n",
    "    maxm= mode(maxv) \n",
    "    minm=mode(minv)\n",
    "    iwell=gw_sel_proj.loc[gw_sel_proj.MEST_ID==w].index[0]\n",
    "    gw_sel_proj.at[iwell,'winterproj']=maxm \n",
    "    gw_sel_proj.at[iwell,'summerproj']=minm \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f58ef4e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create columns to storage the mode of the months where a local maximum and minimum occur. \n",
    "gw_sel_proj['winter']=np.zeros(len(gw_sel_proj))\n",
    "gw_sel_proj['summer']=np.zeros(len(gw_sel_proj))\n",
    "\n",
    "#Check the minimum and maximum of precipitation with the same method\n",
    "gw_sel_proj['winterpr']=np.zeros(len(gw_sel_proj))\n",
    "gw_sel_proj['summerpr']=np.zeros(len(gw_sel_proj))\n",
    "\n",
    "for w in gw_sel_proj.reset_index().MEST_ID:\n",
    "    Well_ID=str(w)\n",
    "    data=setinputdataset(Well_ID,datagw)\n",
    "    dfwell=data.setinputdata(datapr, datatm, datarh)\n",
    "    dfw=dfwell.set_index(\"dates\")\n",
    "\n",
    "    ind12m=np.where(dfw.GWL.index[:12].month==12)[0][0]\n",
    "    idat=dfw.GWL.index[ind12m]\n",
    "\n",
    "    maxv=[]\n",
    "    minv=[]\n",
    "    \n",
    "    maxvpr=[]\n",
    "    minvpr=[]\n",
    "    for i in range(0,len(dfw.GWL),12):\n",
    "        dfwind=dfw.GWL[idat+relativedelta(months=+i):idat+relativedelta(months=+i+12)]\n",
    "        maxwind=dfwind.max()\n",
    "        minwind=dfwind.min()\n",
    "        m=dfwind.loc[dfw.GWL==maxwind].index[0].month\n",
    "        mi=dfwind.loc[dfw.GWL==minwind].index[0].month\n",
    "        maxv.append(m)\n",
    "        minv.append(mi)\n",
    "        \n",
    "        dfwindpr=dfw.pr[idat+relativedelta(months=+i):idat+relativedelta(months=+i+12)]\n",
    "        maxwindpr=dfwindpr.max()\n",
    "        minwindpr=dfwindpr.min()\n",
    "        mpr=dfwindpr.loc[dfw.pr==maxwindpr].index[0].month\n",
    "        mipr=dfwindpr.loc[dfw.pr==minwindpr].index[0].month\n",
    "        maxvpr.append(mpr)\n",
    "        minvpr.append(mipr)\n",
    "        \n",
    "    maxm= mode(maxv) \n",
    "    minm=mode(minv)\n",
    "    iwell=gw_sel_proj.loc[gw_sel_proj.MEST_ID==w].index[0]\n",
    "    gw_sel_proj.at[iwell,'winter']=maxm \n",
    "    gw_sel_proj.at[iwell,'summer']=minm \n",
    "    \n",
    "    maxmpr= mode(maxvpr) \n",
    "    minmpr=mode(minvpr)\n",
    "    gw_sel_proj.at[iwell,'winterpr']=maxmpr \n",
    "    gw_sel_proj.at[iwell,'summerpr']=minmpr \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b248f52e",
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   "outputs": [],
   "source": [
    "months=['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']\n",
    "\n",
    "df=pd.DataFrame({'number':np.arange(1,13),'months':months})\n",
    "df[\"freqw\"]=df['number'].map(gw_sel_proj['winter'].value_counts())\n",
    "df[\"freqwpr\"]=df['number'].map(gw_sel_proj['winterpr'].value_counts())\n",
    "df[\"freqs\"]=df['number'].map(gw_sel_proj['summer'].value_counts())\n",
    "df[\"freqspr\"]=df['number'].map(gw_sel_proj['summerpr'].value_counts())\n",
    "df[\"freqwp\"]=df['number'].map(gw_sel_proj['winterproj'].value_counts())\n",
    "df[\"freqsp\"]=df['number'].map(gw_sel_proj['summerproj'].value_counts())\n",
    "df.fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1236304c",
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       "\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"
    },
    {
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\" width=\"1100\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "fig, ax=plt.subplots(nrows=1, ncols=2, figsize=(11,5), sharey=True)\n",
    "#ax[0].bar(x=df.months, height=df.freqwpr , color='#799BD1',  label='P',lw=1,alpha=0.7,edgecolor='gray')\n",
    "#ax[0].bar(x=df.months, height=df.freqw ,  color='#DAB7AA', label='GWL', alpha=.8, edgecolor='gray')\n",
    "df[['months','freqw','freqwp','freqwpr']].plot.bar(x='months',\n",
    "                                                   color=['#DAB7AA','c','#799BD1'], \n",
    "                                                   ax=ax[0],width=1, fontsize=12)\n",
    "ax[0].set_ylabel('')\n",
    "ax[0].set_xlabel('')\n",
    "ax[0].legend(title='Highs',loc='upper left', labels=['GWL','Projected GWL','P'])\n",
    "ax[0].grid(alpha=0.4)\n",
    "df[['months','freqs','freqsp','freqspr']].plot.bar(x='months',\n",
    "                                                   color=['#DAB7AA','c','#799BD1'], \n",
    "                                                   ax=ax[1],width=1, fontsize=12)\n",
    "ax[1].set_ylabel('')\n",
    "ax[1].set_xlabel('')\n",
    "ax[1].legend(title='Lows')\n",
    "ax[1].legend(title='Lows',loc='upper right', labels=['GWL','Projected GWL','P'])\n",
    "ax[1].grid(alpha=0.4)\n",
    "fig.text(0.07, 0.5, 'Number of wells', va='center', rotation='vertical',fontsize=14)\n",
    "fig.subplots_adjust(wspace=.05)\n",
    "#gw_sel_proj['summer'].value_counts()\n",
    "plt.savefig(pathfig+\"barplot_delay.pdf\",bbox_inches=\"tight\",dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7e8c409a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#gw_sel_proj['summerdelay']=gw_sel_proj['summer']-gw_sel_proj['summerpr']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f57730d0",
   "metadata": {},
   "source": [
    "### Save file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ae66ea8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "gw_sel_proj.to_file(pathshp+'/gw_sel_intmod2.shp') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ff886ef",
   "metadata": {},
   "source": [
    "## Make some plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "0212d1a4",
   "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"
    },
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 213 artists>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "plt.bar(dfw.index, dfw.pr.values ,width=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6947678c",
   "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": {
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       "<img 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TR4MCp/o1cvHA2/mMFVacKjuQalSCYbJ0UbCTygfanr2+fNXYPXqw9C8eQnTFiajMen9/tZbS6Bz57JQ/4wvDj2okBaG3/88Xgy6dSsv2G/OnLkMCf9Db8Mrt2gKeVo4XmjcXOQmkABzU9we3TEH+yjJvUFCHwnXVIFbhv6MPJwo9hBZSrMunB8SJteupcD48dtFboPRh9js70brrIXZiEOJQsCxIvBIxYDucVIBIbxJ8CbMKRfktkIHAzA3/Q7vuwjeu2+0/77MQqFs8K1+jGjtsrwxTvybnURj2ucUJiiY3l4iwTq/Js3upHMlMTenJJDHgfYcUdGanrPJ95EYp0jgrXJwbZr9TCFwW7eeECFwPfPtF79T/g8JxeSRkkqR0ftk+veZiPNb13FW3icUkLaIUxvzlnWJldyvlF+m5wGRvwX0+dpYX5+pdV+CfV8Mrf1jkE45AWvIdPQZVDTXcfpR8L7bSzkEgbUbCgh59WrWLCi8WvR3MuKoqY/N7D16T8mgMXv2Hrglr2/P2DmXjtVsBPPn7xP7rEfCPttnbbC9FwC0w//htrzm8HRcfzwrIK5DHrxDtzd0wAE7FS1DaCnVEmiMDutRb70FfV55Rdw6BD8mz6IFzuge5e8yFttqkiAdqpRkSAfjfWXwoG+b9kMW7LCkD1SwpFvDD5CJJHOjDzXhQOMn4ViLp97MB8KKwERzvnbNG3ICqNk+pcApcSBLK8Vl51y6MM0HSGvvUWgQJZGuWXMY+hTWTyA1gzMpMpQISgL2PSWPACAOv6FAXKFCXpGfUm73P7Y/irROGzYcFR/6115rAjmW+OZn9D4Z/W7nQ++kApIzZxYMHykpwuHs7E3lfqC9qF5TM8+k8J0hQ1ZgYm9zewoIFR9cjzHtL9wcsEa0L5QCuJUzbPSRov4wo+Tkc7Bq1WFU9MulEUyl4Dx//l6oWDEfFNuyMiiOEyZsx1Cjq9BnA1LWlslp6MmiMZMCQooQebGU5x/9nfYG0eHSWUshZ9TWF6ouQsKoPkdYFZAzV304vxiIswTdg6xhkMUD3v7BvXNa6xANCgix+7VoUQJq1PCFraUZ51+4z9bh/F8KnP/ChfswIT8BSu1YHbA+Zva+2XP3UtMWQCFnZJyjtm4dnnfYah7bYLlPqcjJMEV6AIUSfvfdWmHMMZtLOvl8KRHyOHXqrgAyAMqdat68OBIVJBgaEseP3wY331xR10gQ8EI7/B9uy2sOT8f1x7MC4jrkwTt0e0MrD44hQ5bDf//bIGhxKOXHTHlYhuoBsaOAnKzTRIRNEMXiiRMXIf+HaFl/27z10gzrj1sKiLr+gh7O6g/UnDl7NGOJg91PQjgpIEo2GKrTUbZsHiEQ2fEkBcNJrYBQ0iiNQSgA2JRzEv9w6gp4e3Twf2BI0KCPKIVv6SogJpRn6kcKmCIW3JskEiuPPtBJWOPXrUsbDmR2HSRmNK+OHctgcmwS9C7os+zLlka4MJGLE7T/z/8CqJ7Ln8/jfz7iNyOuoqB4lY0smOSFyr7YFyYprv1oInif6R6AM1mSqZGA1OLgRvD27hjwoaf51ahRUMTeUw0HOwJTOBSQ5csPIqXqHnj++Ua2FBCaH+334sVzB6yRnjVdYkbhPp06ldUUfpQKCF1PjGF9+1bTVUD27z8Du3adghZXtwfFkTCXeQzDh6+Hfv2qB50zCYbkhVO/4/IdlQnh5D2+NR6t0NkzgWQDo31yyy0VIcsCnydQd++aNLxQX717VxLeT61G7x2NQ3qwrbxvZhQQJXayf88b6AFpgeFxqUUgrfSp3u+Uz0DsafQN0jo3ydjSp4+v9omyXblyDUixlGeEkZHBzu8UVVC9ekEcX7zvnccQLKp5I5VOK8+U7wWxinW+tAOLkWaBX/cXRgKAa7r5HFp7RxpG1IbGQYMWCwzr1i1i+P3p23dK0HBZzY3m0D+6La85NI2IPZYVEJvQv/nmm/DGG2+g0LIOX/LqaZ4ydOhQeO+991CwSYF27drBV199hRapLIa9ub2hlYLjgw/OQKtiqzQxnsoDWu+wDsgBWbIEY3ObmPeAnL8Gf6WUEQcQfQB7kWs2qzFrD8W5t29fCuLjswlc5cfGrIUouVpDWL/+KBw+fF6XdtS0AkLFE1afCRDo0gjW9BHQcfvbVUCeemoOJmeb9/pIpSt37mzQ5SrG3ufG8AEc07Bh64Es207EpCtDe+QLQNbfVkmYfFwKLboqTB5++G/4+uvrCogUWLWs5fQ8mtO9906DH3+80bCyslRAyNqb9bVxeDMmZr7XS3ycaf8E87CYEbZlaIWwFFJoEe5jrQ/xHCgHkyfvFHH4wapB671vp+o2gS+//Ed4Ippc9FHa+se36CSceaIL5Mrley+o7d59SiRHN73ku/ZE7cYi52r48Ot5L8p1OnfuMuT6H9a0QMut8h2QHiQaO4XvmMEk4B2aOBOm56gglDRqdj0gNA5aQ1k8UA8nvfeN+iWhXrIjSZyMFJA775yEHq6uphSQf/9F9jFsakVN4kzCt1Sqg+GoFKKJRenYsYv+ddQSImlvUb4Vxe33pnAZ9IT4n7//IiwpXxMaNy7mM9p8h8nojfIIBYSwXL/+iMCk+hEfMYDW3tU710gppFDS1q1Tk6svpcCoU8VEeFSwFiyEKthZbkYB0QzB+nUawLlr4H0wLemE1f0cjM1sb4V64vtCtY+0mhYNsdX+g32ftJjHlB4MKwqIPDfJE5fjvYnCEzevbHXx7ezZ87rCmmZvIPW6DE8jDKQCQor8jaTIYPga5X/S80uUyG1YF4eU67vvnoLeu66652bQzRbmH92W18I8/Ig/jhUQG0uwevVqePnll5FlZiMKEZPTKCC7du1CN2MzDBlZA4ULF8aQjx5w0003wYMPPmjYm9sbWnmAvfjifJGcW2n/v2Kc4TwMgx52mKR4bGBHkby5a9dJKDcVQ1eq5jJUYORH06zwoLZQUWhP3rw5YPv2E9CgQSIUWLvM9pznZSqPH/wD8NRT9fyhN2YVEKKTnD49SVgsu3cvD9kWKazUBnktvXtPxMO7m+mEchJcFy3aDy1bloBcn2L4Q7O8QEmK8fFZRUKwXv0Hs4qY1jprKSC0Zp7//gFwE7IzKeK/j9dqjKQA85Fxpa0/RMtIASHs9+w5I2peqEMalPuYmKE2bz4mBCTR/7vjUQHKAd67bhT/rafgWPlQSwVEMPwQvpiIDKcwDGXVaRhVvSr02Yo1APC/Nw9sh0nYF0QYRsntSMtp8X37eW8hsVbUXxpPkiq3Qb4fSqvjOGQlIgWlYsW8UGbXGjKPwigMIVIKix6MlfcO6plGASHBXS9HxHCffDkJdndrKfKu9DA3c+5YqaROXgNSrJXV27UEUzkemZehXhOiKaa9+e23HTXfN7UHhO4nLwitj3JOyvdB7jmzCgg98+efN0C/UoHeQ+X98lwklrGSY+dizE3u6/3j3kihNU1lwRM5GMhCNfFaGeEhI6WOQlwMvXcaHhASbhMSsmGRygK+UMa5x+Hcc90EEUKwFqoCIql2tXIbNBUQ8jyOOQyXPukd6BE0yiFU0cQfrtoAFYxjcOTIeU3DzQ87CuD3FL1VCsZBJQ7iHSIvaWYMQUs1woj/RyUdFp6EUfWrQ5/tmKfX9DpLmJl3Q7yD+D7/jqF2svCj7JfO/uZ7UblEBjQr55pUQMS5SflNyGzmHdIbVq48hN/Q7IJaXesMo4Tz775L9aKiMjIW85/Iw6ZkQKOcKKL9njlzt58AQW+eRGgyd+5egauy1g6x9pUokUvIEG42t+U1N+fmRl+sgFhE+dKlSyjAtEYr2O9ofWwDkyZNSqOADBkyBJKSktBC+aV4+pQpU9DS+QG+OHgwGDS3N7RSYPjkk5VCEKeQAK3DxFC4SJ3f+Zo1IW7tWt8BR4c9OgdkbobmwaIQmMgSnel1tEwbJQniYfbH6eL++FYpPKRJRqQkQXQXS/pBZf8khFEy9qlTl0T4jRbtqNk5k0BIuQWzZu3xJ3ZSX2++uRgeeqgWJG5aoYvpbG85uOGGApCcfB5d9Zmg6uF1AdcG++g888wcePzxuj4hEpuexVfOY3PRmnDhwlWoXbswSAYaSRFJAiqFCxglxVIV54ceqm0uURdjwKdnv27xVm5/UjapHgR9fOT4VuSqIhQxWpNO2ZLEh3RkclHxgddTEIbtLiiSvonqt2u8fpXjCafJY+ZjhtJqoSoglCxPIQoUnyw+1C/jhxqt3BOb1hHsUsS2RBZECsegJEzyMsyeHbwys3JN/Wt7/ApMzlFe0BoLS+I5fF/zZ72+9sjuRIqDuikVELKOUh4O0cH2KoCUsbhOM9AzoQzb0vIoyn+zrYC8PhauvX6LmL98Z+3kgFD/5MWj+Hs1a576HaCCjHQdUf9KI4SeAkJCkFZtEhorsVzRfqWwljRGGg0Fju6ZOnUndEFLr/fmVI/eBfT2orBP3l5qRjhSAbtx47YFnHMUy19zyXKASvGaQqTSMJOGZUqVEO7B9YCsHjj5WBdBv6wck3L/6J1B8porzVsK7zW9p99/vxYeKIEKEgrRFBJr1GwpINNmwcQrPqWJwinJo6bOKaP3kUJLiRhA3agq+pgxW2HAJaTkrayNo3rO//nPTOFtlgaiv876yARojdPQUm84C+tbN0ZlrKDu9HfsOAkVZqCx7Ybrxjbqk55HeRKU90bKIHlQlMqzKQ//lnOwpU0T4QlTNkG08CYaXhTfV+qT8KA8RK1aS/S78n0hLxmFLubLl0Pcp3fuEv3611//g/JSSV8xVMwF2t39uvGBDBw0DumpUZ43evuNlPcyZfIIQpIKe6/n69E7ctNN5SBbNu1QP6M9aPd3t+U1u+OM1vtYAbG4Ms8//zxa70ph4tWj+CKU0VRAHnvsMUymKolUp8+Jp5OnpGvXrrBzp49uMlhze0PLw4wsz2QdoSJktxKHPTbT1hbVtTvOn4fycXHifgpDWLMmGfr398UtGykg1K88mIIK02hRPty3HXqYfPGt1LQ+ZCR0ZUYLkwi3UPWvtERK4Yz6pNhyOuCocJQpBeQA1hMo7asnIKyTWOcCUMAixaJ48VywZMkB6F/6qC6m0i1NuRHkCbk5TyA7SLB1IGWgXLm8PmFdZ82U91N4Bik7FBcscL4hHuYWqyo+pLRWdICTAhSszz59/kIF/CZ/nHjQddp0FnZ1biE+GupGyubo0Rj2hEKLxHnMsWJCkaN/F7HKhy/B4lI1BN2myNvIjixYGLPu73PzOdjQshFUrVrQL8zp4aDORVGPJ1QFRNKwymrPZE0m46ekedV676UA6h8zKey0jsFYgaYdhZR3MdcJHy4ECgol65BKZTrhbyw0cB68z/VI0x194G+jdxvrAfx5roSof+MPA9l2Hra2biJygGQLpoCYsdxrvu+pXhXlO2uogMycLd4npRGDcKtVqxCeVylQ63jwpFqtMBk9BYQ8ZDK/Rb2PyMNBQg4JtWomIDiNClzOQAWO7hehfsSshSxQYo9vPw+bWzSGypV9gqGRAnLoBvLaYfE6fD+VzfPimIDaLv73AWubLCpVXSj11JQKCOXLkbWaEqZl85CB5teD4B3fz/9vyj0p/9FIAaGzjuZUrFguoWTnuPt3gL7FwNu9vda2D/g3WwrIsKmwtl59MZe5c/fg+49n2kafkUfmI46fshgKdu8LzZoHYqfsnMLG6Jsn2Qf15rmrTB3xHSNPsTxr5bmtHL//fg3mKy0g1AqiWtgn4g3qkxQJS7l5wZjHXkHDSPvr1MfUJ5FnUN7Qyy83TvPNI+WS8lXIyKPV0pxhqYZIIjagRl4S8f1TGUbE96dFXn+NGDMKCJ3hjRsXhUOHzkPjC6jUYFNjZrjhwniB2/JaGIceFY9iBcTCMizB3AYKvZo1a5b4+AdTQEhJefbZZ8XTN2zYgJaabpoKyMcff4y1Lz72j+LAgQMib8StprQ858+fQxwWRkxD8pDVO6wXzJ4NLdq2FQcDHU50wAckY6L1CmYdh31P3mwQaCgAACAASURBVAglVmMV5E3nAgQmcTC1xiRBDUYrf58aB6y0gigTbenjQGtFViSylCrHrKeA/PjjOmENVFKpBp3zDAxreNsX1kAFpoqPQIGpajz8dqKYqP7rS3jehZ6YrEDVkj//fLXwQJBQQfgrBWOtwzyYMkDzo/QTLbYbrTH/cbSoEDzJAu3BjziQMDvibjF2ikmnj4BW/Qe5T8gi+8YbiwUf/A2HAj018mMQ8KGch7UWXrlea0G9r9WsQxILEatcFBl8lp6CM2idpXAhUpBq/4usMRQ2JfNGcPyUw0FN70Mor3VaASGBhDxIeiEXZj7eRM1KbFwNGvis9Wkw/Q3j149hkv7j3fyPE54WtCSuKVBNVDKntdFK+qUieZVmY40dDAGTIY9+BWThCbj4bDdRA0Q2tQJCrDrEXuNTEH3sVVaNFNSfMixE1IUhpYgUDGUYimLukyfvgIIF4/weDFnIz+cBMlbY5TsiFV0KpSJhkrxh6hbMoivPC819hgrcllaN01ic6flkxSaGn0Lr0Wux4ARcer6731JrhKOyho5yrOSpIXpVMsAEvG9z8H177fr75nkfi1DiWbQw/w1CGVIrMvRMCl8hY4tsYkwUGpTqpVLuQfXf5T3qfAMyLph9D4KFUOla+98bD6cf7SK8YERfTue1tIhLGvinOt0HTR8bCL0+fDHo55SMRlQkMJiATwnXdJbTuXR3cV9uj54CQt87ypGiUCOjZqSAnDx5EZYtO+gnPjD9vgVRQEiZ6NixNOb8YY2gVKMceV327TsL999fM825s6d8Xdi794xfqdU6w7W+P8R4RaG+5OmpvXwlwF6kzVZ4Zj24hnDZC4cf6ij2saYih50p50xneNeu5dBIuBe65bru7dYzKBjhH+rvrICEhiArIBbwo6Tyzz77DD8evuTOffv2oSW5CPzwww8YytPZ/6RYDMGSlmcS4tW8/HofIL3DcObYsdC+Z0+/AkJsM2R5q3zAF5ZFQggJMUuXHoR2Y1AguqkQeG9qd12gMqJmnI1WYvzQKjn86Way8BGdKtFayjHTwUQhMWRRV1fgVgqk0gNCVhsKUaJDU4uOM82cp6Ayhd4Y76u3XB8/WSdRKbg06BYhaAgr9SuoVGE16qE7C4gPk0jixeS9+IULYNz5kv6wHSsKyMUmFPKT5KPoDEJPqyQIGPztUnjp12chU2YsTIdCAlGFqgtkETuW3tpuK1ELY54voAXqXEComa6niNbpzbThQBIsPQWEhKJaq3Add13wf7ToY5yPkmYb5hHjozWisDXyjlALqoAgS5Yy9EXrtReKYjYMychhr0qymvrWzNEixlwYhT1UAGlOJOBkQVpSvboGlFNw991VA4Q7z3j0eoxNhoUPtvZX9dbqW4Q3knJPH/XU+hdLlx6AJrtQkURPknqd1AoIcfiT4N6uXWlfaFEKVkrH9zZg7VMrbGspE1SA7/TpywH7jbyNbU+hJTPv9RAy9d4jjISSjTkv1JesgF2rVmFTSexqBYRyhsjTU7QoMohpND1PmDwvNPcZKnAX/ttNhMqoGyn2VPxyYPljvnNL8T6IELrLGKLVrb1mSOOUC6WEdZ4EbWU7fvwCGosOi9CjAMFZbWWm82nEIZg7sKWm8qE1f1Ji66zFvCQkiJAtqAcEFZuR6Lmk89JOU3swjAxc4ncMHZM4kmJNimPdU5hfhU3SwN/X5iFo3qo09J+LZ0aQpkzs15wnrt9vaFzwG5My0xmRCf5AAxOxd5GCSaG8RLstvQn0rlHtDaNGyjWtLylQtI6SJESZi6U8I40UEPom/PHHVhFKLb1s6jFQCB9FBZDXWBmSSO+Y1jdvcfZKIr+CKHK1mt65qzTweV7Ab2I29FwrFRCiKP52H3gn9RePNVRA0Nspv5Xqd5QVEKOdFp2/swISwrroeUAo1Kp58+YBSehdunTBuPmHDHtzW6OWwoP8uIowDVVhMBq01sGndxjOnjAB2mLivfSAEOe8tBwR+w7FmpIVXq/RB5tiR8kaE0AbmmqtoVhjiitVV9bdtOmYsPIpec7lwUSx7t2R9cl7S1p2JRoHfQi6QhIMP5YorGF69QDSzJkoHSlJEAtRyUb1PKjgnlKw9wzGMBkM09j9WCeRgEtKw6hRW6Df8R1woE9bvzBkRQGhJEiqcEtCuK4HBAXvJWuWicr01O7p+Cw8jAJQ4xe1rYJCESuCIRkaIUB0P8U9t21bSuQOmPK62FRAhLD8KmJLlnHlR4ti1tv4iojR2pKXSoY4CWHuCjKr5PIxewUIxkg5m3xPe/QuxOnuOxFbT0oP1VrQYSuTzyQK6LyfY5I5JfhimInak2X4oqdeIJJCsfo2FM4m+gzGhkYV24neV+vdMWtxFt4SSnpNxZToQLO9g1ZyytN6I1BRVCsgu8vVFTkQlEtBxA0VZ6FHUcEkRGEqb7+9FL74op3wpKgtyloeInpnqy5BL2g5X8imlhWa1llZq4dyeagoGllwtZQF5drROlEIJOFDYUl51ywRHkc6k/Qs9LYUEIN9TiEu1edg1fEjlwMUEJEHMHORJiMTbRE9Agfxm6JmCc2ZLO+TJu1Isz9orSpUuB5aZ7Q3fXsCmY5aXb8nqAKCBphDd7fz070aPV/9O+WCkVGj0fnrITWG4UYKBYSqm1OYWmsvvvvYpAeEzrqHcE83eSm4B4TuIaICChPSnOea07DvtjYi74FYvuI/nARQNDtsbukLpVu16pBQICgRm+4nIx7lfCm9iXqYUDI2FeaTNL5UJJLeMWIpk820AvLFJBieUFbkdgVL/KfcM/IgKKmDac+T15TGLesXSSzIOEnkKHpUymojijwjAxSQ7/GspNDZe3yEH7LRmStDAg0VEKRM39XFF87LCojVtyw6r2cFJIR1USogAwcOxJe0u/hD7fvvv4f3339fhFO1xXCkr7/+Gl/g4GwgdF+kFRCjOHgao5GFai0qYDXLlYN9Feth2Bny3GMCqAipQcv6z+jKphAMKpIVrF24cEVYDR+tfDKAJYSE7iVLDgoPiroRGwnRHrb1+HJtpJBK1iRSajKjQKusE6I8IEXo1Pd/w5SGtUTxMLMKCM2LLGNGjT7qSUmnA2LsSTBq+jUWbPz5Lv/t/jh9NTOKKhyHbthavJZQdMgCqKcMvPrqQqix5A1/kci72zwB3doVgttmovVJo4kwp39Wgbdf2sJgdHnQMBStvWEgmFE8ff36RQQDGTWlV8pDscqEg8JiLJJmUxUQyTglp0FemaIjMfyttoL1R45JlXugNXeyouYmpQJZgXQVEGTCgQnJMKlTfbGvf/ttkyAZyDRpFkzLVl6ESlhpku6WlFgS4En42LPntKYlkrCnpFsSvO02z/NoiayfIOp7yCZCHjFXxcgDsqFwdfEekWVX5Da8PQG8mFAuBI6zV2FochERWkjCWPnyedMoE2rWOuqfLPkFfkIPTj0cUxAFhK4la3Pm+fMC9oiRAvJPvqooCGYWxgryqhHRhK1QPJz3KAxfpLOE9myni5j4TxWwpaJqsM9p/MIKTPtZkZgthP13sR7La6k4Kt4h5fumtd5qwZTyGSh8r2zZvHa3R+CewLA+2YIqIH9jpXMTyeZ6gyIMyKChzj0Mau1XvM/0rSDyDxmSQ6HSRAOv9PYaAUKJ1TUWLddWBFXzk0r8tTd8ZApHj57H8FDf3pJGNyveIBmWSO8RUct36lQmwJOmXmeqHyO/q0ojCxWfvOuuqkZTFb+rhX36byJXIAIQdaFCo/dFeDFPovKYT0GEgX0EU561BmmogKB3L+VNfE/QW8wKiKlljvqLWAGJsiVKDwrIrPHjod3NN8P7PyyBR795GuJzZccY0tNQauhMmNSgFiZy+hhgjBoJ1wmvYZxoZ6RqRQ8DHbZEbThgQHU/i47yGSQUUXyrYPVJ/ZArXbNSYBWHNrpzx2N4g1RkhMW9/U9wdUZ/YVE3kxhJ4UjEyU8WYbuNrGf16iX6b6f/rr8Z2T2KX89z0PsQSxphsq6mSc7GJ5I7n2h6/1t3g2kPiFDUKGlWRb+qtmoZ5VtQ8izlM1B4VJUqBXThURZjA2QImoT1YOT+8HyAlnn8ICqrKEsFhBIjydIoC7TJDvQIDJQ0ksHWSqngaIWVbdx4FIVv/EinxsyT0kNejF67NsGR/h1EroLVJsdMSc4UnifZhAL6x+T0n/cVFrlU4W6if3pfVMxZNI6bb67gJxsgumbyIElCAT9N71hUIDC34eqHvURtCWKUa9PGVwvCv3eRuWtmnkoifEvZxHv3JnoHW/u8WnoeELKSXkHqT0o4t1LIUOktkXvWSKDSNMIkX4bFJauL/UwW98TfMbSpznWlSR1apbVGZD2nkEdSXJVN4jhr1m4RGuOvo4EXaVH7ynvVgin9dzDPjpV9I/ekvEfvDCLyErLgaxmErPSXBnPcU96e173V/v6RlOKHs8VwHYqKECKxb3Vq+ATDTmtspCBSPlnAe0eUuMhoFXAGfYreoa1I9PDV7Wn6D1UB0RLa1YI5eeup/gZR5suxqinGjbBXJ3zLUGXyoKkVQSNFQs/wY3SfeoyGSeiK8EJWQIxWODZ+ZwUkytYpPSgg0gXet+Nz8AhaLGS4j+eBEXDtm9s1lQe9ZSCr9KRJGDqFH5k7926FdV2aBo2tDXYwkaWGGKCKbka2FCzIteqGOqLyqmzkBSEWF2p0yFPCZu6VmKNCHzkUjtT0s5R4eccdGJeuw/NuZ2sJi/hngVZ4vY//rJRyIhGVQrCqES1n+ethLNQ3WdSpUu/zz9WH3Ksw/AObGaug5+nRsP+/XaD41uu5NGoFRNMKnIqT561x8FftmoImVtKt6mEhmbCEB0fFEEQKJeXPKEMZpIJAjFNUgVht7XVaAaGPpKgUrfDgUQx7mx8XBHiyrKy9HLPMIdGkgkWhZ3fP1v76GVaeb3St55vJADsx1+YDXzK/bLTGDRsmQr5/fHuHmI6oCrpUsmRuRWJivGCmoXWi9SR60zSsc/Mw+frF68nXyn7USp96v1M/9DzK46J9olQghMeQDA46SexKIUgqIEaCkaYCgmFGR1HBlGGfafaZCQ+I3jpQXYWhFSphiFgx4aVR5v8EE6LVuQdmlWyj/UC/63mA5VkozwOiHzfj0TbqU4k5GU4GDJiGxVFVXtiPUfDHUMGUp7tpFpBU58EZrbN6TBTeSIqu+D6knmVSMFfSu3rIC4rFPslrJZuSzcxqPgJ5riStrBkFRJ0TRWOgWhotW+L3SpUrpIe7lgeE9p2WYclIYdejzreKv10FRCtvxmi/het3t+W1cI07Wp7DCki0rETqONze0DJ8YmqW8oIpKpQQrNduegnKnVsFR+fNgGfRYntXmyehe7uCuuE+VqCn+GYKDyJ2oGBN/SETAkpqJV7Ku6Dkb2HhWX0ajmBOgJ7FmvI4iBaXqhhTI075995bJkJg6p/B4lAoaP2KCohZl7eVuQYIN1i113v3jZoJqmNPFBe0oPQByPHBX0hpiMxhitwFytcg4ZBCUKRb3cxHgQT/hQv3QZuZ+CEugZ6Yh1IrBqN3ZDTGA5MwqGkFxklSvDCF4VAIjtnmXzMNJib1M6SwqhXOQ9dqKSCyYBjlrhg1Iw+InpBH7HHKnB+jfpS/izFjvP3o4z5syaJI+0/GtIs1RSHV+45xTQUr/cprab1JiZXKt/x3Yt9JTESPR2qNmYlnSiJzVCnDEDDNUAqd4ohizRRhdWoPiFK4kPlJsi4M3UvVvptRDk0hXw4N1R1S5i+lUUCy7YXZeSsLD00w4awP5cGlEgOIM1KlYIRTASHDCClwMqfFrAJCe4QIM+qc3Ggr9CfYXqE8PVI2C29AwwY2TSMIerWm5CwvQlZDbcpze2fp2iKRmsgWlEYQNYOask+t3EUzZ53yGfQe0HPuLIr036lzNhvWJAV3I8paLZzIyEJK++245+T5qrxOaQyTHhb6nbxdsviikZKg7lf5jkpWOcots6OAaJ67qggDM/tDWc8lzX4jMoV/z/g9Ucr9IovrhmMfmhmn8hq35TWr44v261kBibIVcntDi48rFi3a1q6pSFQUydrEBKSstZB6GNPhTEoKWVm0QiVe6fIyeOJyQ/7Jb8LTYyfBvd2fgfsH9dFNeHYCeuXBROEBJBgqi6v5i7GhQJGCMbx63gtSVohyVPL9L4urjMpKTpG8N7AccpqjC34jJiGSRyXcTQo39FE5e/aKqPCtVWk2IMkvtaiT8uCm+ymExj8PGx8F+QEW+wRrDCwrVxOt4j4lMI0QtuQkrO/ePGjxLS2s/GtmwopM3hViwRqBwjqxIqmbZxD+3hhZslJD9uj3GViwrF69Iqaq5BopIOq8k3CsvedzVB6RWndX/3YivCnAK4QdUEEvWSQsHP2ZfQbVxFDW2SBrPCW4Gnn80iggSIQgmOJeuW4xVo7BQ0QOOiFYxLy1erWPMle8u5n3wPzEqv4wJhH+MQrzfmr58n6ee24eFn1t5VfYle8IFUxr/fdyOPz4jQH1g9R4CO/eZczxUJIZBFNAaH7/XBeOzOKr9y6YVUBIcB071sdaqMy3C6V/ea+mEqzOQ1PUowm1T+W5TUYMYpUiY5EkRKF9QAqxnpCppYBYDcGiOfz660boWxwVEFQ+KX+IQuLMsFlJwZ2Y3s6du4LFLK971s1gI+iwryTBP7XqYX2bwgG3UIgtnQk1jm7wK5olS+ZGZqrcUHon0pJjs6qAEP218OQumC885WSAoHNdSwExo8il+Rbsuwirq9WxhAOFspYpkwAltmEOosKQRuffL79sFGePJBFR7hfKhaRICauYm1kXo2vclteMxhNrv7MCEmUr5vaGFoIlhkdcfqm7YLkgd3CjnWsBErMHHAJU/2H48A2CXUPSYSoPiZSWWB+i+6tw40sPw45Rv0Df0tVgxOqpcNvwLwTlq1tNeTARXScJUEqOe3HQYzI8zD0RlB6Wxqt8lmTO2bXrFJSfMB/gKNZiCCHxMhgeQghGb8POe9uJECNRWbgCUngqLbL4ADMKCCVD/jp0JfQtf1YoEEvL1rSUs0LhRaSYltyOtJzLTsHpRzr73fwBHx0SoolmEVmRrDZLCsh3GC6E4TYTi1QW3ih18/yCdTIupoD3/i5+IdTKxzmYAkIUlz76ZH0GN6tzp+s9JMB+tBu8M+/1364UBCi8QlJ12nm+3XsOHjyLbFcnoeU1FMbpfUAFRJ1zo/VstQIiiQby579O66q8L5gC8m/+akhlnUnkEVG9h3q/zoMjL3X1ey5F+AfmLBExAeWokJBKY0zc5AujUb4jIqfs1t/AO2NAUEgoz6faMry/rIINTa2AkKLbBJXFDpibRvV0KFfpvi52ofbfpxQMycs6+qjPK6bX5D5R5rqEPAh8gFoJTmOR/h2pbZMvgfdJH+lKqE3JpCRDEf01avDh5O298Uasdq5DwKBUQOhblGn+fMtJ0DQHwVa2GL0+FeOAan+Y9XAr14GU5WAsVFpYifGv2wCXX+2Rhm1KslZRkv25hs2AQjSpD/r/HglYtBb3idIraGYt6D0RIaxJa2Cup7xg8yJv+dixW+HW3PjMrKnFXjHcTNINB3tuGgUEDQ7HBnQwZfSRz1VGHfj329KTMLJsFaEsKcPglN/mBVkqiGK8ag+uGRxCvcZteS3U8Ubb/ayARNmKuL2hhQKiSO5KSjoFZacswOJVuQIUkGmXSqOFoTBaYvfiYVDBz3kuY4EvN2oE79z5Prw+7g2RdzBw11ZYWXAv1HvySVcRVh5MxPdPFWTpYJVNsDytRmE6CWPeg9SnoOvVCohkNhFMQuQhUiXthmuiFP5EFi5ZUVtYeYdiom+zQHYmswrId+9NhQcbo/CHyZS7u7W0lEdASelkeRZVyXWswFSgjq4h+mI7TVicL6GQuxKt5AZr4qGk0N8PwrGveml+3ER89nyfcqmmmDYzNs8QTHyvEq9Zl4EEXBKirYSXmepT9Q7SPUoFRC/czMyzQ7mGkqbJ8yLZhewqIEYx8cEUEFK+KBeLClGKejptfwLvvPsCpiWVxl8wSf/WWyuK2jg98+0X16itt56eP4N37D1BYRGKyteoVKTWm9EMwRqOv19CRfcBDE+kYn/VcM90Na76bbQeksmq3G4kosCCkX/HV9QsmCifYzax3qhfrd/1iCbIGEVGkQcfrGXoDTPbr/8MyJ3Fb80nkomecVhsDs9ao3dAqYBcQQasrMiEZcXwoBynYLmikMhTxU0p3HSvzEUaiUq6FQYs2a8gaXkcyT/GXa9IrxyT/BatyFUF8uXLIc4gvzcf8xlXVK5tKQRUydxF7zXRmVO+Xhoq8j9mwMJi1YLWF6Jxet5Bspg66IXsnFoXyCDCQGtf0JjWrj0K7TJhzid6QOQ5qIWnUJRI+cJcvD/RG07GKD2aYLN70M51bstrdsYYzfewAhJlq+P2hlYrIERpGPcxWplVwi4lGxIDD32cyfJCH3ilVexC7dow5IEv4dXRLyOn+3ko/OJ4mBW/DNr+73+uIqx25RM7izJhWLI80aCMFAg9BeTYsQtiTuo6JE5OVIQeVUOlUFHHJI0C0gZzQGT9DhSOxl/0sXx9+sxweKobsg+ZyLHQmoM/LEHlNfK8iZ6a5vngd6SHJZ74+PjAYmlm8SAmrBJj5/q8SkYKCMb4w2D8QM0OFEKVfQWEjeEPVgQRD+bcwPlrPsFSFXJiVD/C7HzNXOe3CGPS7YjkoprhZmaeE8o1MqFchsFYUUDIak/x6XRGyORSvbEEU0DSKBAPjgDvt3cEPEooIDVywcx8lQXLll8wQ2rg6dkqiGJ9stHZFKwWjLwuYEx/Y4jX0lMBxUbpHCGWNzoP75yEBo37S/iFplAwP3Xqkqhb0jkHhsFiEc71DRsEDWmU+8SqBdzMGPUUkB93FRACa0JCdjOPMXUNFQOsPB/JDgplRaWrklC66JwtOHSGCK8bi8Vag1UWVyogl+rVg+xLVsCfpxKhZ29ztLTKQQprPhYDPfF4Zyygm8PU+Mlo1OLgRhiZUsqWAkKdKIsrqjuV3yJ6H4iOmpQF/z5HBrpLz2sTPOgNXskcpnzHKPQ4xxD0ZuO5Lr7vX04yZbQSnmdkMfSfmybCadVjIwPD+PE+Fkvqm2qkLFy4X5CZqNv8+Xuh1REsPFkgmy1Pl6lFNXGRGXnt8ccfh4kTkURk925U8NZhSF918eTk5GQ02t2DBXV3YJ5mdiS5+UbUj6N2/vx5uO+++2DFihW41pkw//Q99LzrF/Q1MdSovIQVkChbFjMbOpxDVisg8iCUtRbE7/ghXFmzjp8uVgikmKjnbdfGL6SdveEG+PTp4fDyb8/5hzf7iSciqoDoxa56XkULF4UzGXgw/AoIHqwTr5bRDPkJ51oEe5b8YCjjwwMUEGKIoZARqaBsPQdb2zQVdUfe6fshvHxffeHBuPhMe8ieoF3RVq9/f1gCxvUG1OT4Edm6TmBi/w3VNT8SZrERYTQv4pqg9dP78s1BbxP7kfIJntEP/aBkRrKaU9E5+ihOuFwKk2n/gD2zZ0MprMnT8PnndcMCPSRsLkZhU9a3wNFIRduKImN27nrXiQKFBzC5+uhl2N6xedi9LmbHpxTszCogRCdLRAQF1y0LqMWj16fI2yGDR+p5ojRsqN9hrYKLQgFBauRrg3sKwcwfZrnjAmzBPC3yglptAaF4P6O344p+iBUpI0Zsb1b69587K0/B8fs6CYu3XluwYB+03LcB/sxeNuyhgZoKCLI/7bijtQh5CWcjwo+cH6LgizkXp//T5XqYJ9UCwnPh+APBcVAai87XqAFxs1bBnDyloHUn69XZPRPQ2zwSv28j7jY9ReHBwNDcUYUr+ElPTN9s4kI5vzQU1AWRLIEMQza88UqlRll5PWDvI0W2DM8ONkyZwE+MaFoeQxNTFJfIMdEZQNEKRKCiReOuLGBqJkfFbP9WrzMjr83HcMByWBeNlItJkyb5FZB7770XoxFKwRtvvCEUjV69egllJEuWLDBo0CCs9bITmeCGwa5du0Rdm02bNuFZYL6gqNW5ROJ6VkAigXqQPs1s6HAO2ZQCoirEJDwcaJnyvnCzXwE5UaYMfIOCwAvDn/YPb8FLL0Ej/JMtl4/a1o2m/BDpKiBkub9m7AEhQVbU18Ak/X23thaVcCPZlLH1NI4ABWQMWgr3ooLwVHffmsw9DldfvVnUNHn3lpfgpQfaCSvusbuqQ/5K1nMYRFgCWgUDFJCZKKxj7kLKlP4hh2J4+v3mS0Qe0DlkiEmYITIFYbnHsLNxu9fCrs8Hw7WLFyFzjhzQ5LXXghIj/PjjOl+tGbTgU4uEAnLy5EXI9x3G2Z+5Ct7BzrBfmQHajgJChTEpKbTuqU2mFBDKuaBK2KQ0qsktzAgXomAl7c3USu6ils5GDGHafQEu/LdbQFE3M3OmawKEMAovqYvhJTfiO+RC8wv++A6nkCIchOabPCZ5nxgDO1+/KSwFCJXTmzZtF3S+itXFZTI+hZ2dxv34WDdHUBCYo8dPKUwLY1EK/ptBvp3y3D9TuTLknrga/q1RAWo21c+fCTYJKo5oJaRHhAcOHg+jq1UzHbZlBUQtBeSff5Khzlr0vm3HcGKnFBATBVzlPMgw2adPZci2CEO4bXhA6DlKBUSyYuXIkSUNVEIG+QXDcesmRL0HRA5eWbia/i0XykWkXBQqVEhc0rBhQyTQ+ADrALVGr2c1oXw0aNBA/Hbbbbehka8L9O/f38q2ifprWQGJsiVyXQGZjAmw65DBBZUJ2QLCD+h3YnhRWabVwvCuhEIw+cfZ8OgXj/mfs3n0aMhVrBiUSHUrugE1FVLqliUJIEdm3YPJ8ycK62i59w4MnjQqLP/LMRkVPUCyAqsbc9DrI5gCQvf89BMJzqnFqRR5PcP7PQv9W7QRCsoepEUuiUmaVpvn2T8AyqCH5dGuAbdSyF4olbn9e+6W4QAP3wPCFQAAIABJREFUlQRvp7ZWh6Z5vfDSlUgW+U0jF30Fe2fjPk5tpdq1C0oNTXlQVGmYYpGpCQUEaSAnea8XSQzLIA0eIskIYk0BoT3x99++BFmir54+PcmwUB0xVGXFxNdml7cFhHaaUUDIGko5U5QnQk0Ig2+i0qBR3d3suikVkOHD10O/fr6wCTeaUgGRSlWwfj2th0LKnHtDNgKo+9i9+xSUmXw9H5A8S4KAJIx1j5R9aiogpPSsx0KAQ3oHhV6pKJ9Ca3OekWtgN3o/StWyp4DYWWcPhgcuu6+1nyXQzjP07hGCORpUlKF2pCRlG4z5R+g1Io+t1abrAVEyKlpQQMhoMncu5ojmxfwrmwqIXEc6c4Pljol3/C18x1vlj0kF5NgxOrNKilAr2UjJ6Nq1qwjLyp07t/CGFC7sY0R77rnnhMLyGhrP0lNjBSTKVjMuLg4TsZCFyqVG1YWvIYNLDhTYZbv9p1VQvGVe+Kh8eTxQqFJ3AXwhsgaMaMoUis0sDs/gS0Lt/hOZ4OD2/dDmdl8MI7UL+JId27gRSrRo4dJsANasOQ7fXTwMcYWzQbstOcQY7baLF6/BfWPWwjXMpxh5Xz27jwnbfWrM1fNbv/6koI38IdtR2D8f2UMG+Ma86c/xMPhcKUjBdf6sTmYojPk6VhvRAZOASC5xJxqtW5061kNl9MayefMp+HDvXji79xK8X/okJE2dKph9MqF7u3THjlAalZBg7c8/d8OimlfAgyE99B70G/svfNiCKoGbiwkPB0Y9PlgK+SrHwbAeNcPxOFvPmDp1P8ysdFHc235rDqRBNfc+yfseSilEJD0YBmUc9rds2RH4+vBBGNa9pv9csfsO9/lhFXhwq8p3wOrk7/hpNRRrmQdo/BcwjK9mTfdCHyZP3gezq1wKeIeDjf/uEWvg1zvqWJ2i4fUUWnbn8NX+b8Fff+3DMNTAKu6GD7FwQe+vV0LW3Jnh97sD56IVdqd+LJ2Nsyr79ulbefLAgL92ww83FoNcRYPXjbIwPMNL2z48FyYOaYaCYuC30vBGExcsXJgMwy8dgQfzJGKy+XXq984vL4KSHfLCd62tE4AQZjMrXcD3OmfAd/KeP/6Fy+h5vbtwEWSWyonFes1TzY8fvwfmVr4Eh5efgRH96pqYWeAlch3pzJXfO72HSDnF7hlheXAaN1TCaIJiaGSV7emnnwb6o9WUHhBSQCj86ty5c/5Le/fuje9XN78CQiFY0jvy7LPPCqWEFZBwrBo/QxcBtz0gWgNRWv/0Cq+prfGTk1Ig26m90P6J6ywe9OGgPJB2n33m2opv334CKs7G6uWV4sNiGdGyyrk2GVVHRh4Qupy8IPeWRcreVA8IrcGcp56Cdnl8Xo+V+ZGZDNckIzQRNoYK2bXXe8D3ZctCPvxYkPejIVqTjKihhYv/O/SUSTIGDPPxvuVuKJTnkZEAtxYRuRGRanZCsGis8j6r9LABBAK4d0chQ48yPt0sDuK9JWpcm2smvcDDdhd01ftB85s6dSd0SdkFsBxzkQxIGcziYfc6Sa+aXK0hUMiPsqaS3Wfq3efpi2GYtxQGb88Olh+tDME6glbjQqM2w8HupSERE9Ldap57kOL557sc6U5815DN8ORHt0KePNeT/z0DfgdMyARvW+tnBDHctduzAWYjZX6wwpxWJkRMVoUGTwJAw4n3kUBvuZnnKEOwDNnzUguYmvGSmunbzjVW5DV1CFZ8fDwkJSVxCJYd4PkeZxCwsqGdGUFg/LNe4TW1MDxs+VmoWew81Ln7toBhzUIGCDcVEBET/S0yciCFptmk2WA4ep7B0KMiWGX5uR5OwW36uWrMteYn4oKnY/J1dnTLI0c/eaH++eoraHrVZyGbd3kFtHz3XdN9xvKFgqUL43AoPOF7tKgN3L7dUviIyC3AMJ7fq1YVSeCyAGMsY2J17EoFxMqHXt5nNXF/6dIDGHYQB+X3YA4H5hv8HRechlZXmKU6FVR9feidVqcsrvd8gKEtaI1fWreepbo5tjpT3bRz50koP2MRwEGssxElCgjV4aDigFrx+OGYMz2DCl9qJRybeb7YbwUPCHKRw3nzQpFxO2FfxyJQvFkzM7eH5Zrjxy9YqnthpVPBTtUFKaRnXa8VRPeHQoAgQuw+ng47nugYVlIBT39UJLuHpkgahWCJd5QUkNb5bBsprOCvd60VeU2tgFA+B/2bTEK/9dZbReI5JaHTv5FyIpPQGzduLJLQ8+cPX5RAOOYf6jM4BCtUBMN8v5UNHeau/Y+THpDDVRsgbRzyciO1pboRDzdxb4uEM2xfzj4GnRpkg/LoQpQt5do1GJ0a6lIGw16CsQ+Fay7KwmRWBCa9/j29fwa4Cy1MN1u3yoVrTvI5Zjwg4mDGWgfQrxh4e7SHQ6tWiTC46lvjRKLu7JMLoM0nn4R7aFH5PEqEpoT0ggXj4MuCBeEBDMnKmlO7GJ7WBMyEfkTlxMM4KLcVEIrtHjNmK9xeBIuF7jgPm5o1si2UErWrHQYs8Q79hLkHM1GB+c08E1K4YJcJzSIhO0oUEKM6HOGau93nCK8RoNcoZ2Y4gGHMxTCMLalFApRuH3ptFrtjCvd9ZmrYWOlT7LMbh8Glyf0CivxZeYbWtZcvUwJ/JkvGHuU3rk/hQ5DSqpXPi3qbPouZkFMaJMC0rOWhU6eyoQ7b1v1m5LVHH30UJkyYAIcOHcJvUUGRy7EdjWGHDx/G0gZ9RSJ6tmzZ4Cs0FLbCeVOj0CxiyVqF32+i4X3nnXcES1Z6a6yARNmKmtnQTg/ZM9hX5Xc85g106KBd1XXx4v2ioJ2okI3ts+mHoBtWIyZFQ7al+NIsRk0+5coVU+xD4ZqXOJgwdGYccsfffHPFkB7r+RTpbWsnhIXjP6SB4M2kgMj6ChReolehlpIBJX/91j//xHyYwlByHDJClc4Js3fPgTYffxzqUGLu/k+QZ/3B/fshDj8A3MwjEGoIlh0jgL8C9pKTcOaxLv7kcvOjDv1Kqj69desJzEsqEvrDbDxBhD5hs8NuZKM73Vs8b/sKzI06W9xWKFw4xxLsWaIOx6GNAAWzwV60IJeckQzbG6JBDJN600vbsQM9Y+iJDWcjAgPvXP2aSuHsy8yzZAjWoRsaoMX/GDJCldLfm/SdLx8Ha2rWFbTfkWjRIK9FYt7h6pMVkHAhGabnRMOG9nyOfOyJ2WHEtVK6BdCIKejw4fPQ+MIWMfNPJ++Fnl1LQclUDZ7+bTRan/bMMs8+FCYIfa7Z6rlgUfFq0LSpuaTZcPXt5HPIyte8eQlIWIU5LhpF1rT6XvHRR1AZ2TXy/IaKYokcMHv1jAyngFy7fBk+wwS++7ZtgwRM/ONmHgG7CoioYp17L4w8VsxyYbbx47fBLTmQ/npJ5HMgzCMV3isF61yhyId+igJzK0/D7mduFAanaG1r1x6BWv/gGVcqB+xOSYEfP5sPd9xVDSpjYi83fQQ8A38H7w/2whSdwFWcG7n2wpLcVaBo0XgoXTpPcAUkf1Y42KctJCbGOzEcw2dGg7xmOMgovoAVkChbnGjY0LIa9IiE8roKCMWkTp26y0e5h+3j8bugz+03QDGMVZSNPCBLBpuvvxCupRAKSPHssL1ds7BbjMI1RjvPWbnyEMaA5vDFxx+6BEvL1gwan04hcCORcpdqX5Rs0w4avfAczEc2jYwSgiUxpjyYn+vUgV7Tp0MBLJjJzTwCdhWQ5csPQqN1a2By0Sr+IpW0H5e//75hQUiKpS/wAxIAnMPKyhEOQTKPVHiv9Nw/AqBRHkOq8PD2mvZpnllzkFZqJ3jnRI+VXGvOZBArO20hQJV4WHfiHEwfvx5ubF8MqmGICzd9BChnUpnUHmmsRIXzo5vhD6woT5XvqY6VXhPfeWQpvPJyD8yb0L/OyTlFg7zm5PycfjYrIE4jbPH50bChPVT7A3m85/doAi1a6NMuKplHPvxjK9w9sAEUQUFPNiFwYGGd9T/+CBV69ICWKHwYsQ9ZhEvzcnEwxWWG04909lfUDcdzI/2MPXtOw4EDZ6HJxa2m4uNJAVyEvOFeXAdZgO8iCuNurUOk8ZL9n8Jkvr/QC9T+669dZcWJlvmHMo4xY7ZA7/yU3IsezaPFTBdZO3ToHBQd/Bdse6oTVKjgo7C1YpAQBehQuMiwCggxuNXH0M9bIpt7JoqaEhtXFJBwBNvHx45dgILDsIJ5vQT4YwXSsF86CsULZ4VaDzwQyvbne11GQNbeGhVf1jDkLxoYKqNBXnN5icLaHSsgYYUz9IdFw4b2zEGr16CdcGl6/6DJaUoF5IMRG2DAE22gIDIGqdtJZHbYOmaMoD91o4mDCVvKG8GrCLsxlnD2QQXeZs7cA90xtAXWnoH9vdogB7l+lXmtELjSHTpA9X79ID4xMZxDi+pnHVm3Dha89BI0QO+PnSKMUT05hwc3ffouuPEK1vrJlgkmXiotiCfMNGLnydz+R7gyY4DfOmklJDOjKyCUIBzM+mtmDTLSNZT4nP0DzNdrng8+mbgbOtTNDJeOH4e6yMLILXYQOHz4HCSOmA2jilU0VkCIqS75Mng/jFyYXTTIa7GzumlHygpIlK1eNGxoYfX6ZDd4J1yv6aEFk1IBeffnf+Ghl7tCXqQ71Wp/P/IIdECWBzeaVEDSo/XUjzkm6J59vAvEx/uqP2u1+S++CCs+/BC8V6/6PSBUmb5wrVq2ihG6sXZO9LF/8WJY/9NPUAlpDsveeKMTXaTbZxItbpPd6wByZIJZuStD27bmc2g8bTHBdfb10J3FGI65OLWSr/TINcY9qtU8Q6cArDoN3q9uT7fY8sTCi4Cs3fLR2B3QAyl4if3PLaNXeGeScZ8mqru/OxFGVbnBWAH5drLIT/J+f0fEAIsGeS1ikw9Dx6yAhAHEcD4iWjY0xdSWKaOfAEZzViogbw9dCY+9ezvkLqEdskXhF1UxHjehZMlwwqUtvJAHBENGvG/0dLwvtzvwYz73OKRgfQsP8t7rNWLA2jllCpzevdtfgG/3zJkIjDdDCeK7MPdj/4IFULhuXajUM/3tCSf3IDHRVF2yTIQ0LitX01ItFM9/RoH3iz7+4R1YtkzQclOemFFBSKJA3rLluG0KXicx4WdHJwJSARkyeovIR9yLnvymr78enYPlUekiQAbEUdWqGisgo7DWz5hk8P4RuTyfaJHXYnU7sQISZSsXSxvaLwxfTYF3f1oGj386EOIKFdJE9MiGDTAfQ7CuXrwoeK1TkKmkNFWlfv75sOeFiA9RSuQpLJ3YWn7MMUfHyMNDYUeN0MKcDRmgZDuydq2oDVJjwAAnhheVz9yC4X/nDh6E7FigjJNSrS0R5RwV/xNDMnNlgQ2NGkDVquZpjNVF0lZ//jkkoTLYcxJWSubGCIQZAXHut8oH74/YCP0faQabR43KMEVXwwxlRB9H4ZdjateAW2+tFHQcnmmYq/rTAfCOYgUkogsWQuesgFgEryPWuaCCMiRE50bB7nP8qNauXTvgKWS9ew6F7SlofSaFokCBAvD9999jMmYFw95iUgE5fgW+mLgE7v/8qQBhVzlZkRD96qvgRcVDNqMwDEOwdC7wDMHY0EMYG/pR5GJD7Y7d6D4rCohWFfpzycmwfuhQoZhklLYOw6+yYfGnixgTXuvBBzPKtMMyT6qHkeszDIfKkwWSbmoRlBbTqMPZTzwBHqzR0AqJKdwgozAaD/+evhAQCkjVXPDTss1w8yM3wZovv8xwlOPpYUU9D46AZfe1NvS2ilDxCegB+eS2iE07luS1iIEUpGNWQCyuysmTJ7HIm68Y0Pjx42HQoEGwevXqgKdQ1UuqXLlw4UKsCJoV3nrrLViLlufRo0cb9hZLG3rSpB3QLXOSEPaHL1oId331OmTGip5aTZ2AKq+hUIzbKCwojM3zHcaGrohsbGgYpxPwKLMKCNW+oByQNlgHRNmImWweKsfqf3dqvNHw3NWffQaF0EhweOVKqP/009EwpJgZAxlTMr2JhUlzZ4Gj/TugMcV8JXn1JEkhJkWw8SuvQFasVs2NEQgnAkIBwVyluSk7oO49fWAlnn0ZjXI8nHhG6lmeHsMh+YfeUKiQ8RlxFaMvIkXBS/jEkrwWqfUM1i8rICGsyvDhw4UHZCUKNspGCsjrGHu6AOPOc+EH93kMM7qKicAfm6hAHUsbes2aw1B3wxqAI5dh7Jb5cPPXQ3RzEpQUnBIrxzwgFBs6/wR4v0x/CazKHJBgOS4HV6yA45s3a4YczXnqqQz1YV769ttQCQuSbUEDQBMUfrlZQ0AIdlk8cPHZbpA9exZrN6deffbAAdiA5yUpxsRMlCOfj5qXGyMQLgRk6O3SuK1Q/d57Yfm772aocy5cOEb6OaSApIy/J2h+Y6TH6JdhMMLlGhr1uNlDgBUQG7jdc889MIeoarFNmzYNqlWrFvAUym945pln4LvvvhNhWsWLF4d58+YJZcSoxZICIinz4NRV+PvEAmj/6ce605M1QSgJmsIvSDiu9fDDgqUk3OEYIjZ0MXLXD0p/CcdmPSCr/vc/KN81LSuZLE6YJWdOKNW2rSM5OEZ73O3f57/wggg5W/beexwTbgN8IdhhMyI9CPZoIkTIgaGoB5cuher9+2coGmgbkPMtNhCQCsiiLOuFkrvkzTdZAbGBY6Rv8bw5Fryvx8a3O5bktUivq1b/rICEsCrkARmFiW6U66Fs5BF5FfMdRowYAQkJCfACCkDJGHs/bNiwNL2RV0TpGTmAlkJSYGKhCa7/wRiegcOdfWahpXhbp63wFDoSjCEqFvDVGqNQQAodBJiLHp4gVaIp3KUtKiFqDLSKE+pRocYqRupx015rje/ZXAy/4pAM66sqBDsv/i+EquQUDkihV2vRKFMRmcjylC5tfSB8ByMQBAGpgCxIWQ2NkIBjIe63NiaiDhhURsAuAqyA2EXOdx8rIKHhBznRkrxv3z6RaC7bf/7zHyhVqpRIRKe2ARmgunTpAruRDtWoxdqGljU3ok0BMcI5Vn+fOnUndEnZhTku6OEJQjOslYBOc7ZSDC5WMdJSQEjxcFrpTS94qecRDgVE7sc1WAuodPv2kL9ScIab9Iolz8s5BDwvYfX4OMwBOb0EWmAO5jwsPMoGB+fw5idzDkioe4AVEAsInj59Gs6ePYvVp4uJu8aNGwePPfYY7N27N8DSTB6N6Ug3OQnpJikJ/T0M/aB8kMmTMTnaoGUYBYSs0WydMtoOaX5fteoQ1N/8D8C285oKCIVYEf0uhbzUwDhoNc1xRvWAsAJieav5b5AhWHbq6tB+pBycdci8RgxkRNNdFOuAFKpRw/6A+E5GQAMBz/0jBA3v7NUzoDUmoLPHk7eJ0wjEmrzmNB5Wn88KiAXESNG4FaspX7hwQdDwFsKP6YdYaZpoeAcOHAjdu3cXfy5dugTkBSGlIxuyQhUtWhS+/fZbLOxXxrC3WNvQ7AExXNKwXrBnz2ko/dd8gGSkGdYIiSEFY/Ebb0DKlSv+6ufKECuRA9KqFWTJnh1KoSXaiRycsE44DA+Tng/2gNgDMxQPiNiPGIufgsnnRDpRvls3secS69e3Nxi+ixHQQcDzmq8OyOzJfwnjFr/vvFWcRiDW5DWn8bD6fFZArCLm8PWxtqFZAXF4Q6gef+HCFYj7GD1pl1M0FRAzIVYLXn4ZGuMfJ6lQBenA++/DntmzI57szgpIaHs0FAWEKp/THpCtYPXq0OGbb6B4s2ahDYrvZgR0EJiT6l1nBYS3iNMIxJq85jQeVp/PCohVxBy+PtY2tG0FBD8S5CZ3O1E8mgRju1tJYO7BpGCNHBAzIVYUElOTwmEKmq9qbXWsStplp+iWzY7Jr4Bw2J9ZyAKus6qAKN+xU7t2wRnMkZMekEq9ekGNAQOEUsqNEXACAVZAnECVn6mFQKzJa9G2iqyARNmKxNqGFsIwMuTMPmuNBWshsoRRfgIVJnOzRZNgbHfenufHAOTNAt4Xb07zCDMhVisxIZsEwYSSJe0OwfA+M54Yw4eE6QL2gIQGpNUcEOU7RpXPS7VpA15k9qOio4Vr1ULl2QPlOncObVB8NyOggwArILw13EIg1uQ1t3Ax2w8rIGaRcum6WNvQno8mAhy/ArMvLLKUVL58yBCoetddkCs1od8leNMFC5TnP6MAKseB97FumrAZhR78gyEwJBTmr1zZMdiFEDpoEFzDfKiIe0A4JCOkdbbqAQmmfO7FekgXT5yAijenVZ5DGiTfzAikIuBXQNjjyXvCYQRiTV5zGA7Lj2cFxDJkzt4QaxvaM3wqwKHLMPvwPEsKyL9YD6BEy5ZQoEoVZwFVPV2dFNvktdcg1upgeAb8DtA8L3jv62JLAdnw889QEFmIitSp4xj25ImZjx6uNV98AU1efz1iye5UD2YuFgXlpFT7S02FwQCL/Zot7BnMy3gACxGeRjryKn362B8Q38kIBEGAPSC8PdxCINbkNbdwMdsPKyBmkXLpuljb0FevpsDFi1dhxWsvWFJANo8cCXnKloWijRq5hKyvGxKMp/brBweXLYPqRFPrQCV2pyfkue0XgJ6FwXt7J1sKyJYxY4TnqXjTpo4O9cjatTAKPS2PHD4MmTAUJxLt8rlzsPzdd6H5W28xK47NBfB8MAHgCLKuDelt6gkiB+SDD+Dfr7+GWg8/HPCOHV6zBo6uWwfV7rnH1LP4IkbAKgJKBYQKkLqdZ2h1vHx97CIQa/JatCHNCkiUrUisbmh56JuFcydWj8+ENVLKdOhg9pawXbfhl1/g1M6d0BQt87HYPHf+CnBnIni7ttdWQAxCD3ZgPRqi4aWCcE62A0uWCKG/2x9/OJpvEmwO5w4dgvXDh0Mj9MYYhaY5iUUsP9vz5SSspnoWvF/dbmkaWngf3bgRDixaBDXvv9/Ss/hiRsAsAvJbNA/f+eaDB0NmpMLnxgg4gUCsymtOYGHnmayA2EHNwXtidUNbVUD2oxBCwmElrKvidqNqzBQG0gppYmOxeR4ZCXBrEfC2a2NLAdkzZw5cPnMGKmDNGidb0t9/w6bff4eaWCMnUrSrJ7ZtAxpHnUcegblYGZkqJGdGxZebeQQ8wzDMcuVp8H5hPmyKks4J7zbIdKdsJ3fsgJ1Tp0JdrJPEjRFwAgH5LVqEBqb6GH6ZPSHBiW74mYwAmJHXLl68CLfffjtsRONLXFwcJCYmwjeYh0l14ZKTk+Ee9AbvwHMxOxoF6d+bN28ukD1//jzcd999sGLFClF3jgpa9+zZM12hzgpIlC2nmQ0dZUMWw7GqgBzBMIxD+GJRtW632zJUPM5gUcn2mJ8Qi23r1uNQqVJ+3aEbWfop/OxUUpLjcfjbxo2DE9u3C+9HFTyAI9EOr14NRzdsgGp9+8IiLNBYHz0y2fPkicRQYrZPzx8zAJafMh2CRRO9fPasCMNqjkQEykaUvJtHjYIGKBhyYwScQECef8tQYKMw2/jChZ3ohp/JCJhWQGZjLaTOyPxH4YBfoNwxceJEmDFjBtyL+7NUqVLwBn6bSNHoheyUpIxkwZDlQXh27sRIjWHDhsEupDNv0qQJbNq0CfLly5dukGcFJMqWMqMoIKfQA7EdBdR6Tz7p+gosfOUVOH/kCHTE6vTpsRkpIJSbcWjVKlGPwclGoW458LA8hpYfyrWJRFOyLpFAXBUVkVxFi0ZiKDHbp2fqLIAlqIAMMm99U4a+KSdO791aJKCgQpjcGAEnEJDn36pPP4UKt9wCeUqXdqIbfmaUIBDJ2l525LWVK1cKj8h2NM7lwjIEpFwUKlRIoNmwYUP4AL9TrVu3hmrVqgnlo0GDBuK32267Dbp06QL9+/ePEuRDHwYrIKFjGNYn2NnQYR2AjYfphVsEe9TFkydh9WefQVNkoXK7kbcGkB2pDdbDSI/NyBtFXomk6dOhzqOPOjp9ovstiQcpCZzEQhWJtmPSJMiSMyeUxhoUa778EsreeCPkLV8+EkOJ2T6JSezSpWuQI4d5IgG9PXbp9GlY8eGHaTwjMQsODzzqEJAKyL9oYKLzx0m68aibfAYckGDde/NNuHb5suuU73bkNQq5KlCgALyChtCSGB1AoVaykZLRtWtXEZaVO3du4Q0pnOrBew6NeKSwvBYBmcmpbcUKiFPI2nwuxQiuRQt1LLWUq1eFQFvupptMD5uEmp0oHJbvpl3LwvSDbFy4fQKy+qAr1OkcCBtDC8st29G9G2xul1EIpNAk+jg72fbOnQuFkeqX/r9Cjx5OdqX77GRkXcqBh30CurkPoos7oUQJiGcPiONrcfbAAaA/ifXrB/RFZ8WuadOgPH5kuTECTiBA5zudN4fQ0kxsf27XmnJiTvxMfQT+RUMX5frJlq9iRaj10EOuQFapUiUopqhl9jQaN+mPXnsHlaW//voLZs2aBRcuXBDhV+eQqVG23r17QzeUiaQCQiFY0jvyLObUkVLCCogrS5sxO7GjUUcaqUunTgFV126GcYxWmlGokJVnWbmW+iUFJFJWeStjtXOtEa5UCG7155877n2SOReUDNoWwyEi0US9mRYtoMANN4jcgwQMxyjWuHEkhpKh+tQjmRB1WYilLZ16HzPUIkfpZKUHmN/3KF2gMA9L1PbCbwwZN9wuemtFXvsQPb8jsfzAzJkzIW/evAKF+Ph4SMJ8TA7BCvOm4MfZQ8DKhrbXQ/jvOodMDuuHDoVGL75o6eFGoUKWHmbh4vSsgJgR8K5idXI6sFtikqaTbe5//yv6oP+PlAKyAlmYqOhdbvR8KMOxnJw3PxtgF3pEqZXtlLZWjZGCzPgxAqEgIL8r5AnOhhbjUliLiFv6RYByQMZi9MUV9CSUxRwJN2t7mZXXPsYQ5N9++00oH8okcsrnIDYsmYR+K7KCkteDktDp30g5kUnojdFwRkno+fPrE9DE2ipzCFaUrZjZDR1Nwz6NjFJbsdZD/SCuR63xRkoQSc8KiBmseq2nAAAgAElEQVTlQlkd3Ml9JNd3ASYcN3rpJciG1h63m5L5ag8ykdBHKhJhf27PO9L9bf3zT4grUgRKpFJKKscTqfc+0phw/+4gIBWQJGQZIuG0HLIPcUvfCCzEvIiGGKJECqebzYy8tg+Z/yjXo1y5ciKEihpR7i5DNsrDWKS3LxKjUCJ6NqxX8xWWCGjVqpW4hkKziCVrFRLGEA0vhW8RS1Z6aqyARNlqmtnQUTZkQbVqJ6k5UoJIelZAzCb3u4G9FARkMnqBKlVc37rCC4O0y5kyZwZBP4wHfaQogV2ffAQ7pOKPhWvVgsK1a6cZhRt7L4JT564jjIA8d/YtWAAXjh6FisiExS19I6A8592caSzKa27iY9QXKyBGCLn8eyxuaKqzQFWvqeCclcYhWFbQMnctJf5S8b8GKHgHa24IgbKPSFa9V+6xSNaeMbd66ecqYhwrg+FX+SpUYAUk/SxrTMxEvvNEOnESk5NvuPPOmBg3D9I+ApGSJWJRXrOPcvjvZAUk/JiG9MRY3NDKYm9WJu+GEKw1nvTsATHrjXLjwJbrKwT/5cuhBlZ1dbsp53kSY2t3Tp4MdR97zO1hZLj+qOZKNaSSjMeqv+oWqfc+wy1CBpywkhL+yPr1vnMnAsVuMyD0EZ1ypM6UWJTXIrpQqs5ZAYmm1cCxxOKGJu8H5YFUQQ5rKy1Sh4ZUQFpjgjJVJk1PzWyRQTewl30IljRMwmuGXO1uN6UColccz+0xZYT+REw28tZnQ956VkAywopHxxxFDhwm77Z8913bocHRMZPYHoXbxQHd+J5prUgsymvRtLNYAYmm1YhRBWQP1nm4jEKm1VoPc555BloPGQIeTLByqxFV3/wXXoDMmPDV+NVXISsWqUtPTeQ5IHMGMT8Fa24c2Erh343+tOarHMPlM2dEEbxIKELpaY+ZmUuwdztSe8HMuPma2EZA+Y6fweRfouJtgN8Zbu4iIIoDDh4M1y5edIUaN1JnCisgoe0rVkBCwy/sd8fihhaUm8jvT1WmrTSqD1EfPw7ZExKs3BbStZSkvQprUmTOmlUUK8qJRerSU9szZw5cOXvWkOnJlRAsqveQWgF99pNPRoSKV/lhIqvc/Oefh9aohHBzFoFgAkGkhAVnZ8xPjwYELhw7BlSYrjEy79Hf//n6a2iCFae5uYvA6PbtYQ8W25OtVLt2cBtS0DrV3PieaY09FuU1p9bAznNZAbGDmoP3xOKGtsu3rqzR4CCkAY+mULEto0cLr0sl5NymCtnpqe3AHIcsOXJAaTzwgzU3hEDZBwn+I7AYYNa4OCjVti00RCWAWKncaOp5RupD5cZco6mPYDjzGkTTSqWvsZw9eBA2/vqroGS9jDSmyzEUq/lbb6WvScbAbERxQAy5Tbl82R0PiMLY5SY8sSivuYmPUV+sgBghpPq9Y8eOcOjQIcHLTJzOn2NF6doaVJPrMPH2MUx2JZ7nlJQUeBcPwp49exr2FosbegvWAMlVvDgUb9rUcH7KC9b+8AMUw3sKVq1q6b5QLj66cSPsX7hQPKJEy5YQCWrYUMZvdK/ZtXBTAaGP0SLMCfCiIuJ2pdo0CshTT3EVbqNNFIbfI6GAuB13HgaY+BFhRuDU7t2wffx4qPfEE6IGCHs8wwywyccR9hMxJ3QveuQboDLodHFAN75nWlOPRXnN5BK6chkrIBZhPokhPHnz5hV3jceDbtCgQbB69eqAp5w/fx5q1KgBw5ELvzkW4rqKeQcnTpyAQoUKGfYWixuaLE75b7gBEuvVM5yf8oLN6IlIwAI9xZo0sXRfKBcfRFaUkzt2ALGl5Me6FFbHHErfbtwbrP6Csn+nrdD0AZqHSchtMNHfbXd8wDxVCkekPlRurH009RE0BMsha6XbcefRhDePxYfACaTd3Y2hPrUfflj8t9PnHOOuj8D8F1+ESyj3dMCQOKdbpM71WJTXnF4LK89nBcQKWqprScEgD8jKlSsDfvkBLftzMTH7VxTMrbZY3NDrhg6FxEaNoFD16pamu2vaNEAaKiiL9QLcarsxLvUqKoiUjJ4D8z9KohckPTUq+kdhTvkrVQo6LacPbGUyqPCAYL6PFzF30wMiCQeUOR9Ozzs97aVQ5hIJBSSSim4oWPG94UOAalIdXLrUT/nNCkj4sLX6JMr7I5bJNp98YvVWy9dHap1jUV6zDK6DN7ACYgPce5Dffg66FqlNQyG6WrVqAU95Gi18p0+fFqFa+5CJo2bNmvARWoLTqwckWNGxYPASfS8xlVTu3dvGKti7ZRt6rbKjB4tiU8kLYjVx3l6v7t1FdLeV0fWdu0SJiCogylhs4Y7v1QvOYXx2+R49HHfHy4lLwoFmSMspGysg7uzFSCggQtFFZjt6r91UdN1BlHsxg8DhNWvgKNb/qNa3r7ic33czqDlzDSkgmZDspQW+l0T64lQThib0thCjptuNFZDQEGcFJAT8yAMyCmn+pkyZEvAUyv2g8KylaIkpVqwYvIIsHNvQNTwaQ47U7WMUGOmPbAewkjXljMRSI6G3EioRFE5lpdmtoG6lD/W1G375BQpgzsnVCxfgPObnUCJ6empLMOGSwg+M2L3mYSI4JWc69WGgUIikv/+GOo88IuA1m5sSzrWQhANKGk4WSMKJsP6zIpUD8i2SShTAcFBi3XE67twdJLkXKwioacj5fbeCXviuFQUh//tfiCtcGKoPGADxRYqE7+GqJ4k6U+hlURqaHOtM9WBWQEJDmhWQ0PCDnFhHgrwcBRR0rh8izefatWvh559/Fk/fiInPXbp0gSSsz2DUYnFDL8ME++pY5ToeDxsrjQTErZjAXh89Rm41omUk4eQKMqQoLWVu9e90PwteeslUfZNF6BWoj/kR2fPkcWRIwhKJRAxUDZta0owZIim0XOfOjvSnfij1RULwbuy3KlpDJfMWCySuwB809t7JNfiubFm4d9MmwQTHLeMhsG/BArhw9ChUvOUWMXkn91rGQ9f8jIkMYNvYsaIQabFmzRwlmjmzfz9sHjECGqDC43aLRXnNbYyC9ccKiIXVoLCqs1hjgbwa1MaNGyeYrvaiIK2sqL1nzx7ohHkNy7AoXALWuCAPx7x582DChAmGvcXihrYrzF5CPEWFbEWIjCFAIV6w/IMPhEBKOQp7Zs+G2lgLJD01ErrNVHiXOOQqWtSR6e9DprHzyclQKZX5TSb/33DHHY70p36oHg1kpGKFXZl0FHViFIJFeTlOFCD9Eok++qPiG5+YGEVo8FDcQkDk+GHxu/I33cQKiFuga/RD3u9rGOZ8DSvTx+E7WQJp2J1qx7dsAap/FYlveSzKa06tg53nsgJiATVSNG7FkJ0LGL5DNLyU00HeDqLhHThwIHTv3l38oUbej/fffx+yZMkCxZGi9rvvvoMSBnH5dF8sbmiKv2yKScZWrY7CTYsUfcSU5FZbiDHiFJpBbtv0WCXXrIC9+osvhDcib/nyjkBPBAMkYJZB2mpqx7duFYWpJDuNI50qHqqXkGwWH6fHl56ff+3KFSBPnF5M9vwXXoCmaHSwel6YwewzNPjchUx36Y1e28zc+RqAnVOnQib85pbp0MGngDjEuMZYB0dA5IXi2X8WQ8ovIhNWxZtvdgyyw8hCegyjTKrefbdjfeg9OBblNddBCtIhKyDRtBoxqoDMwWrmJGzYsWi67SIXHgJUGkkBWYNCeBNUSNJTM/vBtctcZharLWPGAHlXiqP7ndo59IasR7a0RqisutGEBwSF3BQUhpUJyWbxcWOM6bUPSv5f/b//CaOEViNGNAq7DHf4H4XdfV+mDHTDsM5ijRuLrrk2SHrdZdrz2o5RBkQyUrJVK1ZAIrj0ZFik5HPyThArWU000DrV9s6fDxePH3dUyWEFxJnVYwXEGVxtPzUWNepQhLpQ7rUDslR4rqJreDEKQi3fe8/OY6L2HrMK3SaMmSXvR9GGDR2Zy/phw6BwnTpQuFYt8XzCm4oRtkKvoBuNBM/Jd90lar5UxDAwmZBsNkTNjTGm1z5ETPbIkaBM/lfOlZTDGiiQWM0ZM8KLwir/QMs3eVcku53bFZmNxhip3zOKIkZkF8QAKGtLuf19idT6Rlu/xIDV9tNPgdgQN2A0SCMkPXGq7UQSIGLbkl4vp/rRem4symtu4mPUFysgRgi5/HssbuhQDnmzAnO4lkH25/V6YS56btooGMjC1Uckn2MWT7IUZsME9FKtWzsyXK0QL7NjC9eAtLw8ZpP0wzWGjPgcsnruxTpItR58UHP6KzDkkqiirbLmGWFJws6s//xH0HpXuf12cTnXBvGhllGKNG787beAArNunzlGezSj/C4VEMoDobBnJw1PkShoLNcxFuW1aNqDrIBE02rgWGJxQ8eiAkLLHsq4rWwbN62PZudESYLEn+4UK9Uy9HRU798/gH7R7NisYBvs2tWffQblunWDvMiMJNvSt9+GmigYxxUsGK5u+DkqBA6tWgXHkYlKLyablFPyUOSrUCGs2J3Yvh3WYGFYotmWyg/XBvFBnFEUsXU//QSJ9etDoRo1xLxZAQnrK2bqYaR0LHj5ZX8OmNPnvnrNTQ0yTBfForwWpqmH5TGsgIQFxvA9JBY3dCgHTCj32kFd+UFyq283rY9m5yRYqhysgyKS/THZOFt8vH+Z3BYGtOihiS+ear8kYL0Ibs4gsBcZ/4Ilnq79/nso1rQpFFQVcA11NMn//CPonsm7KUM+SPkfVr06ZImLg0pYDDOj1gbRy4kKFfNou//fb7+FkujVzV+5MisgEVgcet+o/scuJAMgCnaiP59HRDMORhqsRqNDua5dAwxNbk09FuU1t7Ax0w8rIGZQcvGaWNzQZoVeLRjdFkojoYC4aX00iycxh1AhSFkxONxbXCb7K4kJzI4tXGNZiAVAG2LSu1IJ+pfY6JASkorVcXMGAYrJzpwtG5Ru316zA4oJL4hKQZG6dcM6gP2LFsEprLVE9X1aYm0i2UbgetfDmPT0VnTUCngkGP7Vpw8kY30eyr9Jr4qYWhh1+8yxsibp8VotRfcCEpC0QcOPU40MTbSnie7X7RaL8prbGAXrjxWQaFoNHEssbmhWQIJvIjcTYc1+cI9t3gz7kD2k1gMPhPwGaIWYzUMrmPqjY3ZsIQ8o9QFa7Gwbf/0V8qPykVivXri64eeoEBAx2ehhkkxUaoCcitneNX06oPsDkvD/lXtvDNZkIu9Hzfvvz9BrRSGJRMrQFhnK0muj/CLK/8mN1PfUyBrfEsNBM2XO7PqU3Qy9dX1yOh1qGdsoHM5JBYTCvRrjn6zo5XS7xaK85jZGrIBEE+IGY4nFDW1XAaEDehTSJWbKnh1KY3VyWa3ayeWKhAeE5jm1Xz/YPXMm1H3iCUetj2bXgirVbsdCmmQZDrWJELNBg0TRKUl5e+HIkTRud9cVEI0aANtwzjkKFICSLVuGOm2+XweBdT/+CIkNGvjj8NWXOUWAsBUrL8cVLgzb/vwzQOCZdOedUKhmTWiEIYEZuS0ZPBhO7twJnTFPwo0WCQFcbQ3X8oK6MXfqw03Dk1tzMupHzBnZJSm/0P8tcNgDEklmw1iU14zW0M3f2QPiJtom+orFDW1W6FVPXySI4mHlVRxWjR2uExEJBYTmTUIZUUT2wthYJ5vZtTiPCgLF4jfGgnGhNk2rFwp86rjfaFBApJVc0rSGOne+Py0CWsn/yquoSCV4PFAWPRPhbCK0C62tG/H/pcWV8kFmPfaYsI62+uCDcHYXc8+i2gxXsYhueyQBcKO5mfsm57P4zf+z9yZwX1X1uvhWAVFmEGWQQWZkkklAUNS0zExN07TSNC09zbdu3f8599Q9p/85p27jLTOto6XHcsopp8wJB8SZWVRQlEEEAREUUFG7z7N613vXu1h7r3H/9g/e3/fzeT8Wv733Gvfa3/F5/lU4VSTHDEEnxl14YbYPnA61llqm3tZ6bHnt0ei8AQATdEYdBKJbpvqxBuRIRKb2wDtfhrh+88po21Vf+zBIGdeuXSsIrDt16pRdhLoVEli/BuPsbNTKvIjI5N5wxF566aXZjBkzRFe3bduWnXfeedmTTz4p7vshKANOAaT87iQNA6TOVtN1Q9dTt0MPgFof0PTKkIWZRISU0H6HzP2TaPNVMDSfiPSUMsV1TO9u3Zo9gQNtBryisWL0ehkiIA/BuCQ5XRkM2KYxmAweUXyPQ3/YbnaQx65hyvu5H5julJeTvXLWrIycHUNOPDFls9n8Sy4RdSfzf/3rZgNE7vMdb71VahpI0oGU9DCeDUxRKzMdRu16rc93ti3ScVD71XaffURXREoWal/IDVJr4XswG/2hqGSote5HrdvTo040Chn5bw+CyDLE9ZtXRtuu+tobIGft2jT+W265Jfs+Mgbmog7z85//fNYf6ar/Au4iGhqfRKoojZE2bdqIa5YjYnkFOLVeeumlbNq0admzQBfs1q1bGUOp5JkNA6SSac9v1HVD11O3Qz3btUZmIUPz0yBHmo6XnVLLg4v8E2RrPRYejrLkfbB+84Pn4un92wcfZPSIHoUPdKzQ63UjvF5M75AFrqYaEBM0b2zbRfeb9mXZxfdljmdXebauBOr9fmXOnOwtkBWSryOlPPHjH2cHg3ySxr6Mvm1ZtSpbesMN2ZsrV9ZM8U45ppTP4vtAqZUBUuvznWPjmUYAgj2hwFHmXXxxNhCRttSQzy7r8uaaNQKBrduwYdmQk04qNfXWpT+1ukbU3cC5JdfAxAmVsi+h+keKPoToa1deeaWIgDz11FNZx44dhXHRs6mA/lAQA/8IkdojgeQ2CiiBND4mI52Vcjq4k44//vjsHMDb7y7SMEDqbCVDNnTVQwg9AGRtxEZY9bWAyHxz9ersueuua2ZorqUBIj/+RwKOsKxQ9DtbtmRP4fnSwLLti9B1Mz13NljOWfdxLLzQFNOz58P46n/UUc0Qmbb+xf5u6oMovgdMbB5JXmybjfv/btgXpVzYeEJC5/AROBYmoW3moEsl+7UFCzLC867HX60U79D+l31frQ0QUeOH9/0tnLtjEBGrBfIWx6iesbZ6pDLnnGhwrDkjH1Lf6dPLbKqunq2fu89ec03WdfDgrDeU6zIk5XfMt38++hpTrWYh+ku5C2movXr1yvr16ydSraTQyDgBkMK8lqlajIbsj7o2yneQzkaD5Xv41u4u0jBA6mwl90Wu8sKFC+usV8XdeeHWW4PTKd4Aedh7yBdNzQlg6jFTb+ill+g8Mf32XSAW3hKatD+K7fnfMoRpLWvhVaGS7yIpx//i7bdnH4CAamhTapPp2VQE23fvXjMODs45PY+qMAq2HkppP4AfNKScGTDNu9rSVuRCbwEIQu8pU5J24MXbbhN8AC/yPGpad3m+8L/6Xkja+C7wMK7Lnk3wyHu1bVuTHi8DMMCeaGswCEFrIereY/3PkquuEpFn1gb1P/ro0pw/prGRk4aEp3vhm95jxIhaDL8u2tDf/03PP599gIh7WdDnKb9jvhM4DNGtPn36NN/2TThA+FckjIBcB0foVdibTL/ainRoKachKvxxvCvSAGEKloyOfBvRPRolDQPEd5Ua1zvPgI9F7fzQki+MiSSsAy79hkWLBGlR2cIaDCoiI4GKQ2E9yGHIT22D4q+yhV6azgMGZEM+8YmsC/5bhtC4otdtwle+4vT4lJ4jPosf/KOR4kYx7Ymyio/zBquPjx5Zgh48B4/cGBT31QJ1zWkhdrOLbPtq07Jl2cv33JON/9KXko5c7rkHQX42HfnTfK+XAhFr3wMO2AkZK2nDu8jDuC6doPDUkojzfuT+7wEI3DKJ6NTpV/deFSlgal/u+9rXREoguWlYh1ILqQJ5TB+X/v6XnfYao3/ErkmovrYPapRWIzJIA+Rl7I9GClbsSjTuTzIDoRs6SeOBD4k5AN5A/uNyeC4n4LAuW1bcd1/2HsKd0htHWMpDvvzlbB945csWHsoHgHuiTA6K9SBgWwsjawwK21zEpii6PENeo6eYmfbEmsceE57vWn2M9T5UgcrjM4e7y7W2fbUF9Rg0DCY11SSkGrdcb0KxjoaB2QGpC4J1Hekvi/DfMtMfU42hzOdwXfYH+SOjzalJIE393gHErUfh4HkfkdEqDJAqiuDVeaDxRQQuEmSOBVFeLaQezjj93E0J+W6awxj9I3ZNXPS1LUiNfgsgGDJScjPS8r4KZL5VqE8799xzs4EDBzYXoZ966qmi8JxF6CxMp3Eii9CnTp0qitC710BfiZ0X1/sbKViuM1Wj61w2dI264txMzAHw9qZN2TzAQk777ned2wu9UOcfqCVCCj/+LIYkM/hAQPKVISLCg5zRkWee6fT4mHXTG+D49kEhHYvQ2wOlw1QMX+v6C318VSskTouyG1xk21db163LFoOLIjUvh2yXaFhMdeyO9AgBfAAOHp4xhwKFrV2HDrvBDIcNge/oAJw9PINSQyCbesT6m3VPPy2Y6WtmgCjcP1XycLyFAnTCQh981lnZ80i3YW1SLUQ/47oMGpR1OeggkX5Wq4iv/v6/C+X7CbyHKRAXjQYI9nVV9V0u+hoNDRoW22GQE06X0Y6fACiDMLzrcBaehT3CQvR2SI/8NRD8ZjalBzM1iyhZT+Md4n3/AVQ1omTtTtIwQOpsNV02dD11mWk3D3zrW8EfGIaMH0LKhITGLXNsOgt2LYui+fEfiXD8pqVLm1PAUo91FYqr30GNg2uuu81T7dO/5ggPcp27DhmSkQviMK1Yjrn//CizGLVsMe3LevAOlj3ueni+zQDR0ehS9Vm2K4pesQd7Az1GpmPNBxrSMORXd0bRZ2sU+T4w/fR15OQzNahsee7aa7PO8O4+D+jxKgwQ8W1Bmu2LqH0ZBU9zLYrg5ZyyHqkN0mx6ofDaBxgkdk1USHRy7Yg/1F/UEgZYf/9jdQTbnKT8jtna0n/f1fQ13/GVfX3DACl7hj2fv6ttaIbXZyN6MRMejlCp1QEiPKPwBHUfPlx09RkUge0HmMQDxo8P7brTfWKOgE1/CHLeWSBbVrrZcpAcEvpw4LHHOvUr5bzzWSxAZ6E/i4updOhev/feflswph8OT07ZQmADoiERDlKKyI8GxOEC7INx//APNVVIyh5vPT3ftq9Eag72AeFSU4pUfNT3QPZlMeAs94fHkX+tUYQXGnuf6ZmMBE9EelDZQmS8yXBOkQeiCgOE46OxO/cXvxD8Q7UU1ppJQsRUcOcu/ecZdy086AQ6YarjZkTEpTAqePq997o8JuoakwPCdiaENshv6yPYZ+o5H/qskPt2NX0tZIxl3tMwQMqc3YBn72obmshLxN+fAYUiVMo6nPT+8AN88Gc/m3VsQq2QBaoHNjGPhvbfdp9MORmP4nD2IWauitrieDoA2s8V8tHmqbaNS/2dz+IHl5wLBwGrfPVDD2XjvvjFnR5Rq7XeDuQber1NqX216oM++HooEPVZ09BrbfMrOGjAFZBaKZX7WeUZkX2hR7ot0q/ogGiN8iZ4Vwi+wJqEMtNh1Lm9H+cBQSlSnjO2tdvJ+17SXsvrh3zHm50ciO6TCTz1Xi+aB9aeHA2ji9EQKud/g1FSZQSEfbWdCbZ1zftdnPNIW5oGB18Vsqvpa1XMUVGbDQOkzlZkV9vQ2zZsyBb+5jfZ1CbG15DpLOtw0vtCj9yh+Bi0A5QdpVaoTOQ5Wf3ww4IdOiZdzTa3IqLjUWCact75rJkwRJnyMOKMM3JTzVK2WTQfgoDuT38y5l6zD1UUJIsUMBjq7yM6U0uFwLZvUv/uonCWsQ/kMzcsWZKtYeEv3jf5bywEfuvVV7Phu1kOtevatTiDWCfx85+73hp8XT0YIGUqv6aJMaV5kh+pVgYIjXu+fzT8ZDSEaHD9jzmmZhHfWkZAygK0cN30u5q+5jquWl3XMEBqNdOO7exqG1p61ibDoxkqZSgjpr7MQjrAkVCSWYRJWQUv/dsbN2ZDAY1bpqjKj4tyFtqXBb/9bXbgEUc4Y86nnHf5LP53MDgY3t282ViLkrLNonkqKngnYR2jNe27dg2d6qD7WkMRvGu+dxn7QD6TBcBL/vhH4WyQ/1ZrAISgDVLiTSoCXRlzr3f9/R07sodR9M/avjLPPL3dWiq/puUyveM9x46tmQFCVEnWvPB8ozD9TaaClbi9WjzauAYKOEDKfqjOhpTPdX3WrqavuY6rVtc1DJBazbRjO7vahhbcE3fckU0ArFyo1OKDyL7p7ZTFyKzPg5r+UebH+Gl4vViH0RnY4i6Ssi9ybun1HIAalDbt22cDkHO8k4JQI8SSorVdgIidMNRGjnSZpmTXPPrv/y5SImpdFJpsAA4PMtXemG4r452Xz9wBqO3HMNeH40/u8a2oTVp8+eXZFCjFrVFIikeP+KCPfrS0dBh1XmnwrXrggewQpHxxDY786U9rQgJYtQFSdQREID0iwi9TDededJEg5+wKJCxdykoJraUB4ov8mPrd39X0tdTjj31eqzVAmJe/8ZlnMhbGShmE3HWbfBgwhmuB5kNYNLJSXoQXnHBqJnkbz54A3HWymz8FhmoX2ZU2NA8wphS99Ne/ZqMAJRcK85dSES6aY13pEV7RnFoFl7VyvWYxmE/3HzdOFMCWOVZ+/Mai7oLsuy6iR4Rc7sm7RjVA+kyblnUB+o2J6boMxdPUp6LoFplzxUfakTE+Zl7Ue18BD8qjKE7dhMJQQYQINLA9QdK2O8l2RBQJ9mDLyU69D9TIi/q/ZTvCI/9P/yQioK1RnkdtVsfevUV9WOq5Nym2d4JY9nWcryQ93AE4URp+7Tp2LH3qqzZA+E2cgwjrs4jAjUEKIN/xWtaAkNuKdT77AuqVoiM/qgsgjKUmnpaUKaGmNeC7NxVgNW2BDJZSVs6ale0AwILk9kr5bJdn1Zu+tg5F+c/gfXsbqXhSju/Rw2UolVzTKg0QIqIwNMn0m25Dh2bEK2Z7HOAAACAASURBVO8DkpczZ8+2LsIbQNXo2pS6ccstt2TfR0733Llzjfd9C8o5r1+A5++OBkiqA6xWHjL9w1ur/NGnkG8t2YfLNECItDUFB31bGLwuwutTcSPIuX0YtUAdwDxNxBXWo+hS5vjVtgQSEpR7E+eK8Jq98EJpcMh5c09IWJLvEaK4FkhgLnsg9TWupGOplWA16sExcZ8dDpQtRpwkQl/qNlPPXZnPW4ToTy+g0/UE6l/Z8yCKn2Fo/+2990StUz+gMh0H3hcaQGVL1QYIx6emAMq9WKsaEFmALud5+Z13Znu2bWtERiwrJdS0BmVxbonsAhi2tXYmyfmtJwPkCtS4/SuIfjfC2TIUht4CGGZTO3fOZsMJXq/SKg2QK5CTeQY4E64HIsrZ8+aJWoAl4Cf4yGWXea3TlfBsMwJiMi4eRtHxj+Ft+yY+hP8d9RG7owGS6gAjjC+jJ2V7yPQPr6u31mtTGC5Wx1emseUb0fCNmBTNg5xb1qG8BoOchk2XAQN2NkBqlIKlenz1TrBAnTDBhAitldADzzn6EM6LB2pUBFyrsantiJzsOXOszM+pDVE9xYrPp/eZ0ccpOFuEIlijvVfFvNva1J0grM2QtXC2e31/178L3QB7fgoURTr7ypZ6MEBIBksHyASgHlZtgIjaH8Dxjjj99J2mnuc/v02pU0L1NWBU6Da0/+bq1aIuMDRTwrR3BOfP4MFZb/CtVCH1ZICMffLJ7EFkWRwNh/e8SZOyh+D8/i9k61wGbq56lVZpgFw1cWJ2FtglrxgzJjtn0SKxNlcfdlj2aXw4XeRshJdnIfRHueuuu7JRmqeXDJZHIMf8VqR6LFu2bJcwQELyQVMxzZblHZFr2QyNeOmlIjwtD0DyETyGkHXZ3mgqPhJ1iQXQ5MfYG56J1OKr1KlKSWxfZNtEFnscH7YTb7rJmAr2IJTCGf/2bwKnvkxR0970diQvy0xAIpctcu/R4NkP581HEX19kBC0NUAhKntspuczurQZdWFEQisS371qGwuLb5dDyZUcO3znmAIj0bCEItiKDRBG/CcAnpXAC3MQtWfNXvtu3WzTGvS7Dv/KGoSpcEgcUANPrGlfEZnvMJy7rEurhawH8/vaxx8XaZZi39WoBoZRQMGvo3AfkXSSaUqsxdGFZ9MlgG1nkXwqlKwPEPViupV6tgo9AfP/AZwwKVO9OJ6F//mfWR+kFe538MG1WNqd2qgnA2Qi0vyfhuExBobIIpCwUg6DM3BODd670MlvlQYIjY0zAct4KyAZ+x15ZNYZnloqBeeBpdpHGAG57rrrsjsR5lTlSyCcm4SN8HmQPj2AQryiCMjPfvazjH9S1gDB5QMlf8+nPzHXhrBE8wC7C2PcACOOLMOhOe1qekDMGPLuzRubK2JPbJ9UxWfur36Vsdao66BBsY/d6X5fpU4UYyM9okcCD0kz2hAgh68Br8qF4B0wffBF1AWKocxRTj4JTQ+cB2x4EjLmeV1rpYwai1JREL27GiAr779f5PzbcrJ996ptn6zHGbQWH14S7Qmlj8SYqD/Yhlo/pj/Kf9td5902P4yOUilkWqLt3bA9y/b7+1BCr8O5QiZwpmJ2HzYs2wd1aUzFKltM++pxkOSOgtOwFilgHJ+e4ing3+F4KTvC/yr2/yay3IPrSso2QABTSZ8Ko8Akl4AT6zw4SduBIyeFmHjBUmVKmPrnC7ySYozqM+rJAKGx8QhIlT+J2uYj4WgYAIP7vyMatxSpl/UqrdIA4UfyAERBtoPD4h54BsiWSlbeAcDK9pV9cMiuRmixh1LoMxYehS1btohHsRB906ZN2ZAhQ7JnsDFsUtWGDj0kngfXQse+fbO+MOpCpWxCwKKxpVaETHOgKrvPXXtt1gXGRxkhY9+xpGSCl2N8F8rnRV26ZN+Et2uPPfbYaTrKVn5kgyTHHPnpT2edsDdtaxK6b13uM8JyIhKyuyrCrgX+vnvVNtcqzCyv5X7sB5ABFWygVkanqa8hEWbbmH1+b3EGIRrXuV+/jGARZYieDrfivvuy9xBtHoxISNli2le19pKvQnr32/jmDz35ZDFcnkUHf+YzzQS4Zc2BcOTB882IhhRTREJt/5c4q89F2mTeOenbV5PBE+LcdG33UUTTD4HDd5/u3V1vSXpdVfqaaRD3Y89NBLjKBnx7L4Qz/Q04An4A9LNjKpobl4lulQbI+oULW7yknCjTv+kTSKPiLRT29Gli0r755puzryKUvQo55SZli/fbIiB6G1Vt6FDW1KJUF5cNyGvK/kAVEcClVoRMY1Y//i/fc48IRbsgrrnOn7zOdyxFdRI+bYtIUlNdAxWti/ffPzsAnhhCQer5vs9efXXWFbngvZtCxD7t+Fxr4/qolTJqeq+278YRENf19d2rtrVfce+9GSGAB3/sY+JSPp+K2P7Yh0SgE/9WEQEl2y5TCbPNjZwPWQhNB9y7+I4NOfFEl1u9ryHp6jbscRl5qiVUqmlfpTrnXCdCJ7hlpJmZFt1RC1OGNKcYox2mfZEUWEXXy3vXeG5fBE85U89NgCEhfTURwIr+IfpGQ3DkmWdm05Emlgr9T6TXIb2QZItVSFX6mmmsC/FOj9WQ5kz/VsU85bXZKg2Q/0JO3NkacpXp3/RJo6FxKsL52+HNIQxvT0Dd/QTFfIThPf/887MTcaDzT5VdxQDhIcHamLYIxTJn1zWdaj7qKqhoMsweKoKzAZCN9BKVIaIIDjnpW4AQQdJBdWypFSFT/1Vldx1AD5iyxpSA1OI7liKEFJ++scB6Nj56TPEQCjcKG8nIa8r3ZZus/wiJNvr06QGQ0LG2Zy8gwNjWxOe5vteuR9TzASi+nA+mowhYzt24BoRKRl+k4Nk4Vnz3qm3eBf8BvLn9oehRuP5M8xsBhYfefkqtwC5MfQ2NMNvG7fq7egbp6Wquz3C9TnjiURTcE5E+Si3J4kz7qmwHlz4vy+CYbI+MiH6oA6WIQmlkQJTldLEZt3nvGg32K4CKxro0wjOnkE1I56KTbTyiErowSkn0QTVFLLbNKp0K7Hs9GSATUAMyF6n/qpj+LXbOU97fqgyQbUi5omeGtR8n3XhjRg8AhazNfznnnOw85E9WLVVu6Js+/vHsCOTL+hR0PYX6leFAuOh04IHBU0fUEHqNxn/5y8HPsN34AJS+GSAm0z0lqRUhUz/Uj7/JQ2Tru+vvvmNZifqkdxHVi/WEirxfGB8zUNBvU7RegbeNMJXD8Q6WKbYIR9mFqdIrOR+1KPRKTkMeuPT6+a5TmfOU8tkcM88Q7ilG+IrQblLPAZnP6WHu1fQBJhEhUXdmwkEk89sJukCiThM6W8p5MD2rKApbdtt8vvo+vAW4ziVXXSWM4TLkIRScc79Lzocyzzy1/9x/DwHxjAhfqqyDs3EDHAHkqqqF6FHAF0HUm0fMmqI/tjM3713b/vrr2Z/hkJuMfSAjh7H9KTJuuT4CCRAw5KnEds6naifvOVXqa7JPG8D98RqcgKz9uBGASH/XarNsM1KwzoFj9/lGDUjZ28Dt+U//4hcZi5a2QgHq0JRGxTv3hueMqCAStcLtaeVcVeWGvhbeQx7e8iPuMkKRg/kP/5DtE0F2Q8NwIcLHDB2XJfd97WvGg6/sA4yHLpGfjgITMEXwFWDOykDe8lXqXgVSy2agB9kQi2xroq6fzRtHRWDNo49aYVptbdp+t60rz4Eh+PiWpYwWIcT5rpNtrL6/l1WPoPM/UAkl+pFJUs8B4Z8PPPzw5sjLvIsvzl4GQerJiIzI9NhnALVOJDKmB9ZaOOf3AZaVNXOTUBDuGmFO1U/1fSgbBU5/91hjORff3sPADVKmkFSYKFD62aojpJXZBz57IeD8e4NXjJwrFKaksd6U0fcyxGbc5r1rNAxpsA1C2mKq7AMWwr+BKAjr70xCnhIiQqZKwUp9jviuT5X6muzrL+Bo+T/4W4OIVh8lFa0LACe+CsfweTXg3/GdN3l9q4qAyEGTLXQa8a/rUKrc0ExDY3GsD1pJCobTslmK+cGlV04aAeqy2xTV2C1i4hopq03fwzhVKsabQLx6DmkGkxFlkvm+K1F4KlOO1I+Nem3s3Bbdb5uL54BeR/Q7EpCWITbggyNhkObVjZXRH/WZNiMxtH2bJ7bFe8eaIQX9L7RNeR8jsUTik+lWZIBeCKPkDHA8SXnx9tsFMtMApMJVIfSE0/nwGRjgtRb9zCnrDOK47v/GN7KjYeBLYSE0I456ZCL1HLyDyBv3wXRAvqpSKwNItjkXXD9U6iXSIYmOX5s/Pxv9uc+lHrJ4nogs4H1acffd2cFI7dWN27yzcCO840yX6zJwYLLsA5uxxXQ0nrsxoDVlniO+C1Slvqb39f9/+eXsu1jLXUlapQEiX1rWBNBrIsUn9aisRa5yQ5MXhSlYPgXSPNxSKFNlfhBZY7KRIXhD3YVNUY1dZ+bEskCWUSIpZY3VdyypUt8E8RZqOxhFtAlRsp4A4hy5QMoU21wIpBqkIJTplSQL99+gHOi1MCmM9pi58zEUfNrxAbKwrY9Pu7yWTqVDkMIp0XBobMz+53/OPgfFTwojb/T6mkjZfNsLuZ6oc4vgHScJbq2lVgaIHvEt+8xT51FEYmF06pCzrL9iTZDJAVXGOjAd9WCke0nYXxGBwX50OR9D+yOMa8Cummrr8t41fhdfQXSGsNmpsg8EyAoMzkEf/ahxKERIux31mCTBNIGU+I6/rG+paz+q1NdMfXwfZQUroNO+rVA5HJwIYtl1Tnyua5UGCOsN/oq8bHqnWXT9DkLEnfr3z76Ig6JqqXJD/xHeYKYHDIcn0VVSKRJlHiTzL7lEoJDohbH8WF6LQkGBV29AbHKdg6LrRJoTPBMjPvWp5ss4VuamPwFjj4g0qdr2WQuOnYXjhEAefe65Uey0LDJ9ZfbsbNwXv1g4ZWzzcZBkMd1OJYRMMc/6M2xz8TpgChmlUQ3DlP1osbeais9lJOhxGGCjcf50AFpYFVJWBKRozDutT2JEqgeRSsIaJElwuRr78WF43c/Ef6UUkbLVYh2YArwaxsdJIOmspehGQZnn3hsgoVyOSI+ubNvexxTzwdoy1l8wEut7HqRoXz5DJX3kv1HPWACwllRKvqmvIupCfimwguvC6D/T33ReplWIDpInh/w5qUhZXwQZaFsgMfUHBLZJfJwULmtSpt7g0n6V+prev7uwz1jHvBH1IB2QfkUY3v4wSl8qKcrvMj+2a1qlAcJUo5OAVPFn4HSfDVQihuuZjjITCmHVUuWGvg5KOKMEo1GQ7yqpPiypnmPqN1MCmO5Br4sqqQ9DU9smpCkemvsAoYde2/fhrUjFDuszh7a8Ydf153WuyF5lKb6mvtrmwkSY5TNml2vzPo6CjBIeQpOy4PLc2GuEQgqPMOFBpyJKkLIewVUhYF0Uo2DSYIgdk77eZKOeDfK1T9x6a/OjBUcBPeQl1poVjYOEdFtRAP5h9KGW6XfvAGSFBfgyNanMc2/5X/4iztmDPvKRFlNhex9j15/309HzItZ7Aur9dKlF+7JNHRpW1Nwg5btM/UKg/gF4wfQ+6REZ2U+uFZ0idMimSodkjRMBafI4ZlJHX2u5rqY9WqW+pveHiFc3o+7oZJx98wDG8Ye1a7NFiG79b4NRmuJ9S/GMVmmAEG72LIQfmXJ0DgwPCj3har5wiskNeUZVG5ph01sR+WAI1weNylXhsM1FmQcJC9+OhvdRl9SHoWmMNG67jxyZ9cKek8I5o8FLD7wU1kucjlStUBF51vB0HQnSKxdJOXadBC6v/ZRt2sZo208qd4ntWSG/Fz0/BXdOSJ/Ue5iy8TD2izz/Yp+n7m0XkkUBiUt2aBBnpRB1vWlgMc1tCYrOxyMtUKJx1aoWIW887GPbfffNDsW8p2Kedpk7HYWqzPeQUZ7BgKLvCgI0VVJ9J4rGK6KaiCgfAnJhXWzngcs8ul5jgoYtu3297kbtK4vi+4AoWE8xl/wojIKnMkBs5Lapjd+y59W25lXpa6Z+TYQB8jQMjzGIaC1q4tk6Ag72hyoA3bDNm/y9VRogTDX6DDCpb4AXknjVLIq6BdGQLyB8XLVUtaHJ3MqPdhd8OHzgGVN9WFI9R10/KiJERXnmyiuzsUgP0mFBUx+G+t5h+zefdFL2DuaWRYlsn0Jjl8XYb65cmQELOkkEhB79J5HWNR2kTC6SMhpBOF+mMUrm37z2U7ZpG6PLh6mMPSf7tRWpDYt/97tsigEFailScMhRQdSmqoQeceZ/p04Hcp1ToucxDW/f/fZLMgXqepuiezzTmPLIVJiy0/9yDRA4HjrCO0zYclksn2TwlocwGrQWqaAS5bHMc28WUniZzqOjHLnui5j5EON84olszOc/X7kBohvhLudRzNiLDBBx3iDd80Dw86giHSFEh0tlgNh4gPhN/NOHPyxq4wYiShYafW0mX6zwfeZcVqWvmfbKVDjVH4Oj86Mg2v4SUF4HIP2K0ZDljRSsmFcr/b1EYjjouOMy5quyIIrK01FA7UgFRRfT46o29GYU5FNRZ8GejiJSNJ5UB2sZH6giKFSOSfAWgHRxBxhEDyJvAZSUVPCAfL4JlpQGxyPIx/0bIhZ7IPzNfFnmLFNRjWmbxX1C4UXeu4tItKoFqI8ZhwL5mLG/BLhTjovvVJGkbNM2Rpd9Wcaek/0SUSHW/uB80UUUaiJP1wfswTZe3985P1wz1iLF7Du9Xdc5fQKROkJ1durb17frxuvV9TZ5+FlnlTrl0bfjnBvCABPmnCzttRLBvQOHh6zt43t4I95VEtEdBCdczLuvjyFPEXZ5H2Png3wfG1GPZiK6q0X7sv+mtlzfi9A5KDJAVs6aldFBpfM9zQNH0cBjj83IVeQStXTpm6hFwTdVj4Cp99L5MQw8UDFGeC2dWUXjrkpfM/XpGji9juvePVuOtO4z8B6wBuT/gADzMwcc4LJ0lVzTKiMglcy0Y6NVbWh6j9bgQ0XUJtc0Hg4p1cFuCls7TlnuZS6pBjp/QGyb6v2m9vm7mnrVbejQ7FQo8EUHtqlPKpcDC+wZwVqOAsBRqN8pIoDTn1WUO+w6Fy8g75qpNHmFh6FKqmv7putc9mWZSoFgPx40KOttIIEqMk5ixuxzL8dO5vBJ+C95kFLIju3bs8dQ1+TCcTMXZGRCUcEcpZCdIiBafRXfuZQpjyF9Zh8Z9WoPJcEH6jykLfUe5vizLmMgPM9SCMzBtM/uw4bFPr7F/VUaIOK9QlTZhHLmch6kmohaGyA8+/k+5fGs5MEA0wlAp+uT+G8qA0Q887OfbUYAM83pIjjKeiFFqCeM8VBx+baHPtvnPh997V+RnfAvgIhehPTr0ajVeA1Ow7NRc/siUCT3Bn/HpYjmzGiKUm0DX9h5ACp5EulUe+Ld/SHAW04BieruJq3KAKHFXyRMx6pafDZ0yr7SS0bm4FdxiMtwrAthWSol7mEUhrI4lDnSqcQl1eC5668Xnpi8ormYvpjap9dZ9cQOO/XUbOwXvuCtkKgeIFS0ZuIP0SvfgnahiMA7TBbpUOEcsvDQFdudH2hyAuigAKHt6/flMSKr10kkIM4XeSF8jDaXfnJ9xpx/vhHpSpAx4n3julclfG87Yd+r3BmxfSEKERnJD0VBrE1SG/56DQgLb1UuGqZf1UMEZDBTMh3SFW3z5/O7ifNG/BuQH1OdeyLdFUbf4iuuEGh4+vuU6jtRNG6iOglobaRT66IXhvvMn++1tTZABNM7HIgmmHn2XdQA3XCDcDao8giUYf7bHPw3lQHCPTAehJvtu3XLnTbWnOwLr7yeEuYzzylBVHza1a911dfmYo3+J/SbJYhM3AGUOBogn0eqYH+8gzRKaGh8ElEhGiNt2rTJvo/U8eXI0LkC79NLQGedNm1a9uyzz2bdDPP6a0Q3i+RLiaLMMfOUd2+rMkD+ArhRCllJCYdIDxCFH6oBCEWehBejanHd0Kn7KdNoXgaZkTRAXMKcqT4s0hvTUWGojx2jCyyoa/pQSF9M7fM5qnLEov/XcbDkfTzy2tU9QOp1PgXtK7D334O3ZfDHPx4yRHGPKDwcNSo7AOhyLjIHhythOos+Ui7PybtGEJKB6K+oHsaHtTukLwJ5DakGJrQjemmFQsA0qAqE3EdUOroiPE8FlGuXQvRag6Jnpi7Et3m4ZfrfM7//vSiSJt9RytQzl/njWckIJRXGMU3fIpf7Yq9hXn6f6dNbFCGTm4gpWINRm5ZCxLcCHl4iPpmcIGVEuPV+c0xs35Ta+DjWm0SAHXr1SjHcwmeYvompvpOmhqnQE1WxH2oLTSK4l+BBJ0y1KiL6jXV7CKnHZCdPgcwmHIlA1msLaPs8SbH3pJOJsL8i6p84fdp1k7joa+/gPTsSWQpXAyL6KMAT3w4AEBogHZF+TeOiJ9aOcuihh2Y/guOE147CmUzjY3JTMfnpqBs7Hmni5xgQSs8FoSRlA9J6H4Rz40NNRsp9iIwdi/99I9qqV2lVBohcBBacHwnlQKa9EL6PsJAnwpNbtbhs6DL6SPi8jrCUqRhJA8QlzGn78Lv21Va85voc/Trbwe+K4FRW+4IpHZG5aUAF8hHVOGQtCSMgrCvxjYAw6kVv6GQUj4aKQFnxUGTLhqF9C1CnS2AUFYEpuOzt0PngfUU52baUiZh2Xe6VvC17d+36dy94oiJF4YHGfnYhd3zu2msF4IUpRc1lDDu9547M6jS4Sbym58OHtOlzj0Spo+Fda+OT4BQjzjyzRb2N8JqTnBWEeSnE9j6RFLJs9C8T5LkcW+qIW9GcGQ0Qx/0ZshZc3+HgmcqrqRCIfDjf9UJz2U8Xo8G1XwQhYAp3UXR7LdCayMkTW3MrUsuA8uRDG+A6DtfrXPS1/wHwGUY6vgyi1IFgKqcB0rt376wfItBMtZJCI+MEpKUyLasTUpoZDdm/iSvqO9BPabB8D1DeeXIyUrt+DqfSQU3G38tIif0OoijXJ3Iwuc6Jz3Wt0gC58pBDWjDkcsJM/+Yzkamu3RcpSAuBYlBreRXoITzAXkUoUH6c+bF+GfUJRKzYE2HBAcghZrqKKsz/T/ExX4/DRChEQCRLKS/8+c/ZEKQ95Mk25GGSyTtVKoLejq19Xu9yjf5cflRWIFrFw1wqcW+88ELWFTUlTKly9mbhOWINC+bIth6vPPKISOHaxxHRiB+N9j16COW3DGGEkx+4vvD65onL3o7pW9GaEuiBZG0xUaeYvlHxbIOcYyrF3CfdItLv1H6I5yKlzYXfZAM+lm1AApuqBsT1HHoXgBNMMzUxRsfMqe1eGj10drAGhFCxNsAG2/N8fmcNCOuz9sKaS6ERzDU4MMdr7vN8XiveJ7TDvW36VnDMzPtPBbts6h/TkEgqa9p//L6w5qkLFMCyxfTuu+7PkL7x2TxLis58U/uynyxSJ0x8u86dQ5pvcY/LOMX5DMhk15TdvE7Rcfwuot21BHTQ+zIMNVR9lKyNb8LQ5J+URx99VKRe3Yf3g+ujGiA0SrbiXJByGmgQPo51lAYIU7BkdOTbiFbRKCkyQA6B7ja/KWIin2n6t+hFTviAVmmA0FvDIkDmaFMWXX55tgpQojE8DKnWxMWiTtWW+pyngQI25BOfyOYCx12tAbkDRWrrAO82GvmKpjCnLcLg2lemfjGsSoK2VMLQ8+MIMZOgKU9cvOWh/dEZiPOeEzqHGxF65b414d779LnIW+/ynCeR7uQDLcq0NyoqKdda7aeLZ4xrcxf2NJUw1kGkDOG7rHuqyKHL+ujXCI840LmYCsa6jeHIPU4hi5DeREXGRSEo8lb79iXPw5v3nDxeIN92fa6nQcx3lXDgJm+0z7N8rzXVXKUm4uSev56OD0Rjmc6sv08ScYmgG2VJUT1firQf136b3u0ya1Bcvh9FdSkpsw9c+iIQG6FzmSDKXeeY19GwZuRfJ730eUbstTZ9jcXjvwRAQLt27URTq5FxcADqXy5D1gBrPl6GERWbgiXHcMz8+dlMOHHPR3SFcjkyAR5ASta9cLjXq7RKA4Qf3fvAlroKlj+t0n44OI+GAp6y/iB0wW0bOvS5tvtYPHYIQoSPAZ9fDdWSLXkrGDVNCBvvI+dwNqx74r7HCiMwjESMRKpAKtmI2orVSAsZd8EFuY/cgRDoYzBQioyU0P64HrQuh7apD3nwir79jTVAmA7GgmpyW7hIqhB8XlsSUMGEhqPeswp1YPQE2/hLXMakXuNS41GlASIVUqZi5fEm+I6Z19MQHYFUEAIS2ETUHiFFYDBSDmKFtQxzAG19BD72LlKGAWID7FChcGu99qbzpQwizqJzzLdOzGUd9WtMpK/ymrVworHWzgTRG9JW0T2m9RVnJIzPVLw3avsu57fRAGlKC7Oxl/vMj8u3jO/rI0glimWGl0SKRZFun76HXOurr8kICGtAWM/B/y+L0E8FIA2jHixC57/ROJFF6FORJssi9O5A0MuTNZjXrwHFdBaMDkDSZEej/oMwvH2UyGfIGMu8p1UaIGVOaOyzfTd0bHvy/uaCNPBIHAVFQgoLppmmRNQiXd7ZvDkjprcPb0hefwWLLZSSQ8BJkUqEhwRSlO5QxodY9t+1KDe0QJOIQ90QAu6thV195y+WlZq8JpOQ+7u3Ywif/DvLkQc7AU6AMoQ8GyxGtRXYlqWUCMOGaDyIKOZJrZVQk8JCQ2kZSMomomA+hfjk+a+ePTvbBtx6osDFynbMtaijQp2Bi6SAntbbsQF2kHme6UFMYa312ucphS7Kost8ymuKnrfs5ptF2mVeobRPO3nXFsG7ijMHaY+swSlbTPMg6t5QRJwq5VCOgd8vtkcHapEUGSCClwjpmCki0q57KsU7QMQ1Ap+4RFzLWnNffU01QNbh/DsLNVgsRGeE5Nc4w2YiM4fC1CyiZD0Nw5kwvP8BA5YRk91NGgZIna2o74ZO1X15cOgHs2+f/QAAIABJREFUA5UKfuCPNUAYMzJCFlUf5vS8/rpGC3zG61p4mOIwNPXLNUJRBNlaNF5TcanP/Mhr6Z3scfDBIn0mRB5Ekd10IFuxrsBFUhqupvaW3XKLqCfqDzSRIpFpMUURMpfx6Nfww7g/wt78y5Oy9pxLf6XH9G14ygR/QEFho8vz5DU+hjRrzd6At45khLEiIk5AAtJhRvOeS9AE1k3F8BDoz7YVYfOcpKLEPeGqpMXOi7ouJpjV1P0oel4tUqAYrScnkglSXAA/gCQv1V4vWhvTPKjrn2pd+Rx+gxcj9dGWzlRkgKTMPnDdU67XFc2VID0Eiltqo85nfarS13z6WM/XNgyQOludqjZ0ngHCg4vcFaYPWEqvUqqwrLqcRPeY8k//lLVDsWvhB6MkhBIT/r6pH4xk8KNJhmQfeQAM6kw7YdFnjLz6+OMZ1zI0/U2k9CBq5lr4XmbUifPgGhl6E/jpRGOKQQAzzTsjQhPhlWwPI6gqAyQvJYgph0y3POIHPxA1Vw/BeDRFN0P2k49SsR5AG4xApYCjZarlK4iouPKqsBh8M7yOofvdNDe2CIhgf0a0h8ALPvMUsg76PbWIgNjeaZ4xnHPWHpUlRSzcrDlj5EuN7pfRj7x6JDpFBAFloqJ/2XdXUlMTOpU0SlJmH7jubdfritbocZxho0HW16EJKaqM9bQ9syp9zdavXeX3hgFSZytV1YbONUCayItMBohripHrFKf2CrsecqnbleN19dCEpqO4js82/7GwsCHzl6rvprGZeA9M14kIAEAX8hiEbfOW93toTnZoe7kKMaJS7yMvWEIzM1I5C+lWrL9gLjzJ4h6kUgYOgBTis6aMPjFCGAugwH77RlNYgP04DPeUdV805vjMRxAxJg/CYcjhVnlGRJoj5rsdoDR95ilmXaQRugAMy+MuvLBUckC+SwQyyUvHZb3RGqDluRqJIeMWNUgwcDrlEK+FnFO+/diBuqbHYOCTX0OVlDVP8rlc39sRQdwM5xHTPYvIVAX3ElJeVaeInA+RfQB28ilIv44V172dYi1SwgeHjrsqfS20v/V2X8MAqbMVqWpDy4NDeNUVki7+O5EmTEpKytAtl8H18HJdMtfnpTgMTX1SlY6iPrsULZvudx2fy3y5KM15zwnpR8g9LuPgNRLRrYsF0pkgCg8jQkbc+pTiMpdl7Tk5DlNKEOGZSUD4AcYtjZLtUD5SsSD7rCkhNAkDOvHrX4+e+pVAlyIcpw8ceBmF6EwtvAppjCcgqqZHM9UooU+qWszk2KIyPutl6wchmNfMmZNrYPimydnaM/1OjziRLfPAMMp+59gnUY908cU78Tr5Gsku4/chUzXVoMj58AVxKOqb655KsRa1eo+KxluVvuayP3aFaxoGSNMq3QmW1OOvvLLyNatqQ8uDQy8oLjJAWGz7DjxfMRwScsJbsIZDUSry5rguUi0PwzwDwYVhVpCUwfvkmwrjOj6X+XJRmncVA4SoZmOBfOaCOJNyDm0eZ3X+UnyAi9aVygnrt5g+KY0NgjzwT0p/FESzDqLWBgjnieh5JOQT8N6IDMSwkqsF3i57ndeUYYBsWbVKQOwy1YpoYC3WG44cOc+ujgnXseRdZ6tLYUoSU/FiUzjZvg1au+waDO6pG8BTxf8OxH9Ne4ppSGWnYIm0zmuuySbDkadKyoiffK5tfdX2TWm+6hmU6jxyfY7rdSmMndj3qN4NkB1IL/wpzp7lb7+dnQighxMUPq6vos7uohKhr2PntmGANM3gb5CbewGKGW3yYRxua1H4RWQCEsNchEKoQ7Ri0/tBuvSP//iP2ZsI9fO6k0Dy9m+At3XJka/aACHq1SgwcXbo1UtMhTBAICYlZflf/iI+XgOB+x4rwpuDYliSHvqyeZva9lHqUyqheUqHbX5C+hByj3GuMOfXgCCtLVB6qJT6KoQh/Qi5xzaH8ndGNaYi5YXjsUmKD6Fsw+ZxbrE3HBiDbX0v+n0bGMlvAakVeW4I/8n0qycQ2dTfsSoiIGKetPSwqTgvQ4QKJ7mKCOFtS0ORzxecFU2EqnnKakhfGAV4EaRwrAOYij2YdxY8hZQ3cs/kMVeHtG26xzbPvvDZRf0SCFSoYctDJJJM8Kmjjeq7V/T9EA4uIAyRKJORQN8zznVNNkHhI6fVeEDaq1IG35TPN1P/Vuv1X6nOQdfnuF5XNO9lfkNc17sqfU3t34VIZ30DTszJQKG8DOf9cag1IiM6ZQKIiud61pa6jj3Fda3KALk4r1gJHwx68r+J1ASbvIHrujYVl96CwrLv40M6d+7cFrfNA9NzF7CuDho0KHsbVukxID780pe+lH3aAfGlqg0tX+Z5CB8TtlayyRYZIESe2RekOgfOmGGbNuvvPt4c68NwgU9ak6lAz6UN2zU+B6TPtWw3JZGYTyjfNGbfvvMZIffY5lv+7lMUn+JDKNv12cO+0MWuY5fXrX744WwrYB5fwX+PRp0L5R2wgN8Eok8yYgtDE0bJg/DUpoiAuJAvhsyTbdzcu3pamc2YCbnH1g/+vgasx4yCMBVJh0VV97sPYaNLu3nXcE0Y6SHf1UjW/GC91UjTfNSGEDWqx4gRMc2IewWPFL5x+8ADmydlvvO2d89HWY+ZjDxwBZLiPoFo0ww4IlNJC6Oq6X3OiyQKEACkPcrI3DtIWXwKNTPT//VfRXdSnYOuz0kRfStzP7muUVX6mtq/cWRAh5FBB/dWvPNnoN6qL2B9LwWwzXgYIPMaBojrcpZ73cUgSjsdKQjtYBy0EBgg10yfnl2I8KmPXImULUZAnsIiF8lXvvKVrBciCv/sgFNf1YaWL7P+cRQoWBBTDUhKcqnUHwgqYOQvceEZeAR58YTw3FvfFz6bwXCtzwHpcy2bShnSt328bdPg23c+LxWCl6lvrh9B8eFVUmNs47T9/ihSv0iI5xLFk2zkLqR9tnZNv9ORQEZq5qMfheJgfpxWIjLLOgWVnyTV+PNy301984kU2cYesndD7rH1g78zDYkpb+QfKjJABCISSML6NWH+uzw79JoiSGoS0HVEwXbfww4LfXzzfS75+Kn2Wt6eKoqAlLXmel/y0L5sKGGhC+By1gnnANLtlt95p8huYPSH38YlgF+XEPouz3Hpo+tzJPHxPgXEerb2ytxPtrbl71Xpa2r/DgaJ85JDD23+p/eQknU6jJAebdtmTyELp2GAuK5mydfdAM8+X77+Rx21U0ssHjwLsJAucjZe4lnwKlHuwsdm1KhRubcxXYspWnfi5Z8A0hybVLGh1WLc566/XqQG9Jk2TaQSPEADBMqLCWaVuOsH4iOawoMm0yKoKA1gDq/mrbPNm/67D7StCpHp207R9a6HMZ/hChks2xMcIyy8RXpfrAiPMDxhH4C8LyT9LeRDIOo0yAzsyJ7uM0afeQ/pe15fXoYCuhCY/G9v2NAcYcjzSIp3B5CcPUaO9Bma87Uc10yQhxLlayhqEliQz6jLBHjE1Y9+qvFveuEFoXhPgLPFJqJWBqmeCy65JBsH4tGYdz0kemdLTbL1P+93qdA/jzN0JwNEgfoWRJXgpRh68smhTTnfR56XQWCbN3ElpERmctlHLtc4D0y7sEUNoSEaELJPQvoiABFg5Kvnsk9tmG+bLnNq2u/DkQLI80qmivmcmSm+ea4IkYVtJXQe+c67vL4KfU3v60xk3FyMOo/RQNiTQiPkUzBCbsG36H0LH1bo2FPc16pSsBgG3QtW4V4IT6UQRkCuu+46YVyYZAsUxA/hMDzzzDOzbzZFEvTrfoZ8YP5JWbNmTfYBNk8tRfVevgi2WBLKDUDaGDkDHmPtyl57NUNIqv0i2tDQU04R2PYpxBW9yKUtH3K/MlIifJFFSJrYF6ls+4EQ0EWevfrqrCsOnVgWdLbFDyTrJshWPPrcc70VQpePoD4mpn/QEWAiDXMZf4qPIJ8R0ve8tu8B1OnRiIjyjLGJWD/k6fZWPFe2e3x+l0XWqx56KNu+fr2IBN4HFugPoX+quHiuXdoNQflJMffNiidz+3FmuRgzKQ0gdW4WXX551gsEh8/+4Q/ZNBh7sgZJR1tLyYFiW5siktDX5s/PXluwIBsNAJZYcVnLVEpuXl+L+iAga/Ed3oI0pCGErI10cOX1QdRa4HvJ2iIpKSN+ersu826K/tCh+BoU19HnnCMemWJt8jhQTHNFYsb9AIBxwPjxwVvPZezBD3e8sR4MkMVIrW2PWuMh++7botfvw4F8HSJdn0aafL1KqzJA6Ol2Zct1XbB9UOi6evXqrIeW+8oC9I985CPZR5Fz/V0UxLpKFRtaQGIiLWAiOAJUDw4L53hQMCqhFqarBytx3VN5sVMq1T6K1dKbbhJjOBCF2KnkTewJEhG6kNzx43gXCJXWQxmgZ8qlQDJ1Cs/7iH4QNWkmPNO+EvIhYKSN6Ucp0j92+ih7EEum+PBy/ficl6B88IPusn4hyE2u60LSNfaHXnjJeUGmZEadiHqkSiosfZl+xPoxV/F5R4ueGbL/+LwY5DdTf2QklZ7lPkhr2q8pMi54FmCcSLZq1oksRfrTpBynlOv8uVxXNMaU0Lgua+ByjcuY8q6xvcu1iDyJukjUmqrfkjLTv1zm1GQAMf3vLaSc83uTygDhN4RpcCTHtQkhuJkK3z/CO29bb1sfUvxehb6m9/vnOE/+G7JWdkVpVQYIU7DeQ1H48VCqQ7z2jGi8BWuzT58+Yq1vhsf4q/AqrsIGUBGueA2NDyJm/S94wnykig29ftGibC0KmcYAElP1ZG587rlsFULKVGiIdNVNg3OjwnooFBsb07jr+Ffce2/GyMHgj33M9Zbc63yUi5SpCLJD6wBMQFScUWedZR1LSEoIi/hIduXibbd2oOkCl4+Z6Vkh95Ux57JvPh8mn2vz5jGkfqlMZYiIUMsRySTxGOU+/HfQ8ceLSJf+bj0OZCwaTR0ivWTPAnqUaT69EQFwFdZe0elRxBjv8qyQ/cfnMkok62Nc2rFdwzRGpri9hnf/XXwDJC8Jz9HViESNQ8ohpYyC5Ly+FZ2D7OMTUBZjC6NdnReh62Sbd9f3/g0wsS+/7bbm98L1uT7XLUH0qzvSKnshpVtK1REQU8SP9WDkA+K5QHkI33ESshIlLFREYTuyOfLIKNXnpjj/yt5PLvNQhb6m9+s4OC7fho72X9h3/SPWz2W8qa9pVQYIJ48syYSAPAx/Y5Bu4iM0NE5FKsN2sJ0SXrcnvOY/QZ41azzOBwHSiSeeKP7+HZ7Gf8HHVa0NOQ2ehv8J7HubVLGhXwFD7VtI/aI3RDDWklAK45FEg4RQpDfvAK2GJTV6lEhNQEE/DaFY8Tmc1qL25/VnnxXs0KmE+fCsnTkIhqhNQjxkPuOztd/8AQ/MqQ3pyzqE/7neKdI/9PH5GBUhfdfbC1k/HwPVdf3kdXrhMQ2Qth06CA/83oBqVGU+6jCYbqk7F3zbnPfrXxudFEXPYdohPcWxdTCha+iC3OQzDzwPGUGkZ5kcJzLCIc5XRJOHf/KT4nE+qSo+7ZuuLZqbVIXRm1esyJYhimzLLghdJ9c5sD1fGErIRpgJo7ssoX7RB4A2aiptCwPAwEgf0xfbmNVnq+eifkakcET4MKrHpv/5oO7FzK/t3ir0NVOf/hP62/fxHn5/4MDs3N69bd2um99bnQHCmSdW9x+Qey0KRGFIELmEyuKXESqvWqrY0KqyrDIUv3zPPcJLwoPbhNrio+i5zCthQxejiHcKSPlChQfT4/DqLUSR7zjHw54FtGpBXmjb6n0+Oa4hHjKfD4/reEKfGXJfyvQPOb6QYs8URnRIBETwBeD9Gg/o0tQyB84VFpcSEpVzcjOcImuBlDIRBqaeHibAGgDDqnps8/oj55feU51L4VHUih2CgvIiGFb9uS/CG90GecsDmjg5QuchZP+xLZHyOXiwV9SmqI+yH7pyxHHSAOScSUl9dpr6pdeemK4JnTv1Wa/AYcWU0xGnn164hGWP2WUsLteE7kPeJ4r+wb/T9aCDdnoM38sJyJjgtzSV+Mypei3f+27DhjXXEBIUg5DMMTV5PNNpiDKqaZPYaBRTS5mGLGGEbe2V9XsV+lreWJahZvdQRF+h1WZ7Qp+FVpvtgb/XYBDXq7Q6A4Te7ruQcsCC38lIY2GBtRQixVQtVWxoNR9/GwpW6cUhkdbz8OJ1hDXNtDX+6ekbqQ9zH/LAvHUKSWdSx5xq/UWNBooeOwHm0iYhRbGp5559DM3JD+lLqvQPdW5DDLnZyFlmQWo7BUHEtl767zYEHtPztgIdbzFALKYAlS+1qGk3NoQzoRxj7CZkQL1fRe+WgFWGZ9mH0TxV5DFk/3FsIsIL58NIB34mlzVS+6GuweIrrsj2R7Ht/uPGNT/GR3F0adt0DSMTLyBNuEghDJ07tT2B/oW05L4Fik4LsIAAslOXOXCZ0xTjLeqLiCSgqF8S+arXCpACOD57ovg6hfiSO6rOFj1Sw3rFLvCe+6RQ6mN4felSAfV9CBx/NiEKHJGwDsP5GyLM2KARdSh0uCqlCn3NNN6nYZCdg1TPGair+TbqQfaCASJlQB2nZbUqA4Q1C9y0xwKBxyU1poqNXcWGlugtPUeP/jvyFVLIDsefPDDfw79tRv7siDPOaDElZRzmsc8MSYcpIzRP9JkZIOfyQVzzGbvPta77OJQcL6QvqdI/1LGFrD3hYE0AC65zxutCxlJmHYCq/NrmhLnYJGF1gXMuelbIHhBKBHLmJReBz5zLa128/HnP3Q62+PlIHZvmARJS1Mc8A8TEfO6iLIfMh3qP4EIiAhqQCvMkZN30Zwn0QkAKU4HNk5Aooc/4XZXxFOMt6pc4QwEuYOKUCgFqKGqLnD4EPnCpueBzuAYC+ny//TIdcVL0DRKjFzGllqmlElmrqO86E7vPWvNaYeyA041R1yqlCn1NH+8/L1+e/RHZO5ciovWRCF6VKuaxVRkgdyDH/0O/+lV00WOZC1XFhuYhRjhdRoDU/GTx4UTeMr3Va5DHTMQrVco4zGOfafP45n6IPZCTXNY/RMFwHbtgQYfiTAMnpYTwuoQo37LPruN1HWNIBISEfQNRp9MNkLihsgM1YY9hLQgK4Cpl1AHwo866hmfgcaeiwXSrJ+CR5b+9jwimieOFtTgbFi92BkvII3sLWcsUEU8dYcp1/nkd14D91jk7fJ6Rdx6qRJt0fE1BRLmtApMZcj749ktPszHdH7Ju+nNcnC02Q9h3bPr1b8OIJucNC6mLpAzwDrW9BxFNnQHnnQkchKAkax59VNRXphBfA37hZZcJfi/WcwoepgsuEMYIz437kLK5Gt/4kYjau6D4mfqfR8KY+80NrDnk81JFT2PXoQp9Te/zZ1G3+ysABHV1gH+PHW/q+1uVAZJ68sp4XhUbWs9NlR9H6c0huoUJNrKMj2jsB1EcpsizJerMyM98xhnvPfVYQp5XhNmv7rWyvD8hOfkxHujYtdbfP649P6yLfve7bBw+ri5Y/0yDYmrM/gCSCJXQdKqQPVLUR5PxzTmgsUpvYX8DQZtP/RPn96pJk0SaFckN1fkNXcvQ++Q8bAR4BD39EmHKdw190PJsz5brKepuQBD6DtJMDgIMOxmoyQki5h9GIecv9dqb+sZaOPL6FCGcxc4/23V5htibAGZhTWEI2alt7l1hz5+GkcJoX1G0xtZW0e9F6+obsbD1Q9SR3X13M5mg7foXbr01a9epk0i3JO/TVET+uC9D0pZNbfkiW7nsm7wx+bZlm5vQ36vQ10L7Wo/3NQyQOluVKja06q0TH5SmaIDMGaUBYvIulfERjTmU5FKGHE6pxxIyDvFxZCqDpRaJXC1Mm0nNpByCzBRTyxEyR7bXVZBqMq0GXmcXEbj9gKA9EDVhoSJgVpHKRKPHR1LvuRAvs28E4c+IlB589tk77b3QtQy9T86zjjDlM/+8tgwDRDUEWWNIGHMCnaiKN9eeZHAqfLtv323XizZQi7YHgVZyJEVEwGUOaZSRqJNectbGuTgHbONTf3c1RMvgfFL7UfROx0SLTXMhkKTw55LyxPtFhAKcXyM+9SnxjZf7L+TcMPXHN8Us5vxTCZN99knqa6vQ11KPocrnNQyQKmff0HYVG1pXApoNkCZDJC+/NlZ5ME29y0fTtmQ+ELjyWTGHoXEcAeFlUcyJovUicj7B6Iui2c3I+xxKRt8mj6ptTlx+z/PkF6EfiTx6QLm6KvwtPtZNc1T0fJd+q9f4krylyH32TT0oa8+FeJkJLkH+Cp2gMG/ebwRvAFnVx4A407SWvusVe4aoXl3ftnk9iRgJTxwDQqCvp67Qqf1iFOSTyLf/E3iVBL8SuKJSvsO+a/I4iClHA/Y8hAfGF3VO8NOArHPCV74SslSF90jIeKYQFQlh3l9//vnsYETHyxDbfrb97tMnoo+pZIK2ewXy1O23CyQu9XsXkrpqasuXXDBmLp679tqsC5DGYormbfPl8nsV+ppLv3aVaxoGSJ2tVBUbOtcAUZRok4Iec4DkTTvhPAmfy9zUUFkG5Jf2KMYi26urpDRAQj1dLt5cUcyJPOe/gZsldSpDHrZ6UYg+Bo1E7p9UKQBcayoXJM90jUZwzml4UakOFaZBcO4GId3GR1LuObYrUn8AAfouIpYHgczTxcvsu1dvh4LXE+lqOnpX6FnA+45ErVloJMCEMOWzBkzX64W0sp5jx/rcttO1ak2PqtAJlEVCYirvK6Mhc/AO07GT+h32NUBiuFh8FVdh7CINy4Up23cxXIlNfbgqfPvA623vge13nzYlTL4kE7TdqwJfqGdPCAqjqS0iaXVG9L7P1Km2rojfY+ZCrWdxaqyki6rQ10oaSiWPbRgglUx7fqNVbOh6MkD4QSREskrk5LtEgpWZ+P6APHSVlMqgKBL/8Y+zGcB99xEXbPRU4fK8fpk+CkVtvoFIjPCqNbFu+4xXFGzC4PwTvMBMYZJCL/Hp997r86jma33TyGIJsdgwYaw7A/qQBZ4+EvMBzmuHRGuHgkenHXgnXMWnH/fCe81iahLuSQkpwpf3kg2dBHYm1CCX/j+JNCamlHQ68ECXy3e6RqRrIm2P0cQYUdEDpULHupt+yLenrJo1q7kG5waAHvC3FPu9qM8u6yqh1osgdPPaCDmLXPoUsg6u3vcywB/U/trGZ/vdZ+wkEzTxc7nsCaNDMRKIxbeeLmYuiOJF4JzO/fv7TFnya6vQ15IPosIHNgyQCiff1HQVG9rJADGkFKVU2uVcuH5IipZNeDUnT/bCW081FhlFoFI+CnjwPukVLh7CsuEsTR+FojZdc69N6yUx828DvDMjESmiOqtnz862AZKwCHpU7YtPEXbenjOxH9uOlRbcISCo89knhQpGQG2BjyLA94Qe/KOAnEfhOFjQSgIyFjz7jkMgrx1xRDAbOlOopuJPRZiyzb36+5tgLSchYSyfgA8QQShSn8+4XJHyVsIw4rVDQFbpKyGRS5d6Ed9+8HrCOXcfOdKJUNNnv/v2xfYdISKacBBE8A7JPgkS0eHDRQTPVeTYyzBAfFEUY9aByH6HkGy1YtjZKvQ117XeFa5rGCB1tkpVbOhgAySgzsE23YQpZB6/jVW36Dkh0KpF8Im2Pqu/xyoXtkM5hPTOp/+m9tnmH6dMyVjvIeBdEbmQhHOhEQQ+81ZAPNMAYP452bhJYnXwWWc5pQ7ljcm3EJKKI1nrY7gofEgnZb/LMiRtCpBp3mx7Tr1HN0CEEooaEnLphKQTmVjCY/erz/2swyAIx1FIA4sRH2Q67n22yVo1ctC4pMr59I3P5zqtQGqgeJ8K6sReW7Agew1QzK6FzGo/2M79X/+6iO6MBMS9yzjKMkBYh8bIaXdwIdgk5B2xPVP+bnv2fHCQEYUqhnFcthWSLaDXd7Z4t7/1rexIRO6LQAuK5sEVREU+4yEYYochAtomgCjPBfrZdc1irnPV1waCI6c9xsk/yj+i7uxTiNy+BmfZ2TgDXkR91N57751div0xowkQZRv4185Drd2TTz6Z7QkgiR8C1e6UAk6fmHFUdW/DAKlq5nPadd3QKbuda4AoIVn9YE2B4W8agyhUBGwlC+VCJUQhZO0JSY326dEjtFlxX0haQouPgINR56Mw+g4mLyefigY/TNLzLZ+75rHHsi1EVtFIKm3t6gXT9Ap+8M47XlwapjZE/Q/WsB+86i4iULzIqeKZLqc+W3g1WcjskfYUu0/yxmZTgEz3+ewn3QCJHYcoCgaK2MFQYEPEp+95z0+hFPsWN6eGZFXH5uMEobPneaQQTobyGSKsQ6DxORg1Ry4SW/OT1wbfYRpbHXv3tnYjxZ4Jff9eRGS8DaBvB8BYihWVv8v1WUUREAFIAIW3w/77uz6uxXUion3OOc6ABi4w0bnz7PCdDBqE502u+hoNkNux9qNB9qzK5wEA0R9pZP8CQ4yGxifhlKMx0qZNm+z7+CYtR4rzFeB1egkAAtOQ4vssYMe7devm2cv6vbxhgNTZ2rhu6JTd3skAaXq5VWVGV2xC6xxs/XZNHSh6Tkh4di4IKlnM13XQIFsXC38PQSJSH+jycXS5JnQQKkGVfMa2DRuyBfAwMldeN0BCc+hNiut+OJxjSeFEWgKiKb0mTnSaAuEB//a3s6NQSxAqIZCqLQp44fmahqLkqTBiYiXIAHHM/ZZzlWHO5D6I3e8xIAacq9h3gV78aw4/XKRw9Y9IhWP0bsfWrdlggAC4iG/xv8sz5TWuRqGJuFJGNl3b8y08TuXo0fs3+3vfExEYl9QmcS3eeXJipBbbfmTEmIzhjHzFiumstj2zyAARNRwAmCAvUogQTW/iN77hXM/lE7XS+2Ob55D+h9zjqq/lGSAdkYpH46Jnz56i+UNRt/ojGNNHHnlkNgqEkTQ+JiOdnHL66adnx0NHOQdG3u4iDQOkzlbSdUOn7LbJADkC3gwWtM6MP/+AAAAgAElEQVTEf8WHXlNSykITSfFhFiRL8Er75IU/c9VVgiH2gAkToqaWH/UbgYbEeg6SkLmkJagNuhysLteEDmLR738vlHcVFYhEb6yr4H91AyEUAcqEoLNt3bpoAyQE1Sd2PkPul4XKhJHluAkpSa+obw3FTh9mR2OixZ5zvEdEi3Ae7MB/1RqQm084QdQRuCJvqW3HRlJD5l5tP1UqXExBcOi7mnef65h8UaxM7c0D586AY45xSn3i/bGoZXljlpxVLulDITVbrmtk24/b1q/P2P5UfKNiRSUTdH2W/DYyaqunHYae5bLth+BAESlVcKi4CGuvug4Z4gUWI59rm2eX9lNc46qv0QDp0qULfDcfZFOQzvwDRJuYVtUP4CVMtZJCI+MEnKdMy+oEA5nRkP2bIlLfgYFNg+V7MKB3F2kYIHW2kvvCE7cQHpJayd+gMBObfTA2vZTld9whkKjWIiTIjwuFipJaqPg2WH43LF6cHQjvYWphITrZakNF9JWeSMBfusqGZ54RBycPxFgJaV+2+RLWgrnMe7Vrl9uN2PkpGh9hbGkE9kAUQQrrcogqxv/q67JxyRLRV995Yxv0Gr8BNt+uQ4cK7/OLXLeIdWd/Vz/0ULYfIFXbd+3qvIyx8xlzP+FDX0YtAKMLeyLsPgCIYDHpGfp76jIJrvfQAFn7xBN/L1pW1ol1HIweCsjZAImZP9e+53VrAXKuySgtpRv2ImHAfYUpWEz/IY+Pq8SMu6gNvlvzENHdq23b5nfLBHOcYuwrgFbX57DDnJ09m5YuFcAFPVAwnlJ89gHPOAIpMFKaWlz6kWrdXdrSx0cnEiPN/K8OPMB6uC0rVwYZBGzHtz8EMGHErZtD3Y4+jlRzGLv+w9D3Pn36ND/mm3Dm8E+XlZhXplrt2LEj+2cYf4sWLcqugtOT/7YVkVMpp512WvZx6C7SAGEKloyOfBtROxolDQMkdtUa9+fOgKtFnWoKTURyTGEaeNxxgjlVkkbpaSYboHiuAXLR2C98IVVXmp8Tm5MdkoayCoqrgOMEE3msxHhn6FEcCJIyKkJ5EvN829jWw6hci3VXieZYMHs4PDYM+TPErir3gjwRB3AIjKfeF+ZxjwRBWCcPJU5/RlBagmMEIHc9Iu53TZexrZv8PWTvuwIwSCK57UjJU/dB7H6MuT9kvOpcxqaQyWeJFE5EPGmou0rMuIvaYPT1EXhJVahk0/UpIiCMPLAd19StGNS8ojG77gMBAIA+E6xilKVA33Ud1etc+pFq3V3a0scgIOqRZszUOT0CEkMqy3Z8+1PEe2Ujp001hyFrrN4Toq+9+uqrGQ2XN+HI6YC6wZdRQ9lIwYpdicb9SWYgZEOHNsyXnEgULyLiMAp5hTL94ykgwvBD+g4IzXhIU/RCW9+iS58+VmGAxKDB6GOLORyZyrE3vPf9kQNqEhZ8qqlxPvPqcu12GGHzL744m4b0OyksQD/6F7/ITORPPvCXtvZZQL43Cuzyxm67n78LWFam36HQ01V8P5wp1ztlLch7KOInwZ0v0ZvIy//Sl6yQlvIdYQRE1Es1Kdsx+10oLoEFpaHjVdePZ+BdKLzdgKjzMHgffVMm5bO4jnTG7NuUy+2y92jYM9XVVXl3eSaveRWRaxb2y7M7774UBHS+a1dW7aBrP0Kgg13n3bWeLPa8kf1xHbPaf0ZcaWisRy3K4dizqsRypPiOi86uVwFiMvb883eaYptxHDJ213X0uc5FX2OEg5GPrk1R+Z9Bv7oF3/mH4PRkPQfTs2QR+qkgxGXUg0Xo/DcaJ7IIfSoIHlmE3r1i6GGf+bFd20jBss1QjX932dCpupQHoUk8bx5G9GzLMK3kbOjQq5doXkQMcJDFEniZxhJ7uPgehOzDZrzoDOtOhLIdKzH9p/LAtKSRn/60sRvMIV502WXZlAQFy6YGTDU40iAkbCjT2g4CkZqURZdfnvVCTmtPDd0jZA7FBwlpXjFRtZCC8Jj14jhj7pdKIHk0OiEcfyIQiUIV0q2oJVmMGp4pcCr4iIDPREpVF3wIi+SVOXMyFo1/ACNYzd2OGT/b4/5iTYkvG/pb8CTSAI7l8HgVaWWM7owEy3uoCEhRFOG65r+zHR/kJp9+EeqV3CquZK4x6xdyb8g9tvG7PjN1xFHtl0pGWdTfkO9Tqu/keqT+EGWSnEvkz9HFdR6N/fGMBL+5erWIxJgQ2GzrFNNP217y+d1FX6NBQcPifTg7+H0dhAjUL3Dm0vBYhzP7LDh5WYjeDqnMv0YGxMyZM0UXaLgQJevpp58W9SL/AYORKFm7kzQMkDpbTZcNnarLeS85P+rEtWcuer+ml0GkBiE/vVtTjYQv34JPn1nMNg0pBD5ebPX5IQf822+8kc395S+zwxIUeMUcjiRGew5h8snwjpqE+eqEvhwPj3UZohPkMR+erLOEqeXHizUAanqW4FzhvihIGXPtJxm1ySnh68GPXfuY9WLbIftNnxN+mO7Fmh4LtLFQYW77qgceyMZdcIHXI0zAA6YHyCJVGkjcJ0w5EuMPjGDwXj7nT0g5pPeY+4hRWAqL3VkjVIRMZUoX9Bp408VvQEFg3VsM9HfIHkgZPWzxDmA9Zv7kJ86GbMz6hUSrY9rLW1/X+bd51kP2j7yHaIEL4bwzKfbqc0OMVVO/QuaRToo58KyTh4RplLqEPFM+w3UN5Hv/KL4p5GCiw0kH37BFqmL6GbPG+r211NdS9rtentUwQOplJZr6UcsNnXcYL4U39iV4ScZ/5SsClo/Cg2K/MWOyA8aPF//fl2/BZ5pD8M31D7AOF1vUPpUgYqATnYTKWwwSkWsYPq8/NlQgW4TEZ55N1+oIOsR1pxFKng8CDwgjDWk+UpiuNwxemc7w3qcQme4V+iyfj2DIh1PvVyoiOz73EcwruWhklNF3DgQny4oV2QgQXPnI0htvzPYFGeSBTQRYeffyXGCKURsAZbyOVABydwijEYrEEXh/QkTUYGDc3PeSyJAFwqxDex+1DEXkhqnqtphq+hRgmKfD+A2VkH0noHuBgKMCgIS2r97n+w6JqCEMFhcEKb1/u5oB0px2BkNhzLnninTN0IijPhfkVFmKmrhJhiJkeS3bvxnRxndwlg4Cd0rMtyZECRfto8iZmQumSHPIM0POUZshyH4+iKJroqYNQ/TgWET11HUKed9SvFv6M2qpr5XR/6qf2TBAql4Brf1abmh5GK9EXiiRl2T+M6MbVDQ/dNFFzbwYusEh+BbgRek1aVLyGeSziYzRuwn/2rcB30PUdhj6tM/8WqLL2LxgRc8s6j+jHx8gn5Q5+GWIHhXrDrSaj197rYDlpZeefVOheGPJq3ZSaJrqTULHFvJhCrlH9i+F8iqfRSQ2KqWhnnhTipzLPLruKQFVjVS79qjTeQE5zPSgvoHUAaKXhaYumqKw7DPPJCk8m04H2pIuqZwgsbnv7FfIHiqjIJt1MazXI6O1qzwCj7gOLuF6b90YIJ5RuNhvjGl+mDXAfUsnQp6kAj0I3XO87xo4GljzZUrzjTFGfd4BW4oV+0nUxXVz54qaFTUz4X18/2YjfcwGsuC6h2Ouq6W+FtPPer23YYDU2crUw4ZePXt2dj+YyE/DR18ygxNukR83yXhbFpY6jaK7EZLlwTMcmNghHiKfg5DL73IYum4TKhWvYP6i6hgKPqYCdQooUX0BfVmG6MZYLxiBp919d9amfXvRnG4c0WtPj9/ewDhPIaIeAFGVEG9s6EfZd7+o43TxerrOC/f+1VhXEqSFkOIJhBsUhvcGmZWrsM37vvzljO88FZKi943EYYTlZoRGsMcjSsG6EOZyj8C7GiIm458REKI4ESK8KALC+qPeKMwkf0+s+Dot9PZC9hDZ0JneqEYUY8dBcBBCY/sQ3bEGaPCJJ2ZdwUXjIyL6B0Qpn2gzn08iQKaY7t25s09zhdf6rp8pnTS2My5AJim/NSF7jmO8CjxPTHE2QZ6HgCnIefNZAxenn2SNp7ODzlApIhKP/58iXTp2zetBX4sdQ5X3NwwQz9n/MPKU1wIvm0VBxGS+CC/CIU1pSuqjLsfH8Yc//KEgnvkQPHgsLiKygU3qYUOvmzdPkOldgJAyseQphOTdDG8nU3EojJDwo2UrXLWNV/89rzDe5zm+B7PLYejaPpnB30E9SSifhV6DoSuEZRl+cnwyKrb0hhsEszP/6NGT/dA/MiKfmeRTTQaK6zzlXfckUmGY0tVlwICgR/muPRshEzoRYeRe92k4pSIj0t9g0LFAtEjxzutfCLOwLddabesJeNUPBkxyB/BdPMCCUxSOi/QtEGWF8gGpSExjv/jFZnAFemnfQj3UWKREsqjelCaTsojbR3kyzX/IvktBuqr3hQAi5HDyMcpEei0iW74krKaUTJd3J4QstOi5As0RtUNMI3MVogkSMc8nUmR7tksKZMpvTcie4xiuA+cSiRAlx5c6rhiiSJ93yAWBTTCzg5WdtVIzgNQnvzHkKuG5MwmOuqqlHvS1qucgpv2GAeI5e29AuZRwaoRS+z7yn+fCW68KEQ2mT5+ezYMiTxbLk5Dz+THke17gUBxaDxuaoWR6Sb4OuE0pTA9hSFRC5j0O42o0cmg7IHc8paTwEPkezC0OQxRdh0Rd5BzERihsLMZSCSRCWZmS1w895SIEdaqo3yS1awMIXdPH0WW8vmvPZ85B7v8EpH75kBfKvjByQCZz5inHSuzeZzrcGEBa+kDB+rQpol3weNNzLZUNAUIAVDQJThE6B88B/YuRlX5AbyIiHQ3gtsDIZySIqZ4mSVXMy2f7KE+mvoTeH3pf3jzz/TwSRrxPXYN451DX40uAKXhhUCvomzLIe/aEY4t8RymEkSTWDU6HI8RHQtLHip7P9EmSdeoEf+o9Loq36xhC985tcCIyZbLPtGk7NUWgCUa2DgIPmK+E9KfoHlFfCGhsQvWyRo1nA6VMDjLfMdeDvubb53q6vmGARKzGlbDQGQF5CmFvVX4MTyHxmy/Gx5lyJw7cHyFl4QEg1NikHjY0kZj+gNSbfwDkphTd68AwOuEvmS6SUlJ4iEKUUI6B3vfhOPBiCqpjFTKbQih4LvDXFgpDmZLXj4fhOZuC9ttBOaSEfHTy+t1MEga4X6aQhBiCIWvPdWdkL4QA8UWgJxF6NdRgUufCJxphmkNBKAhPIZnpXcXnfVN5K+S6C34gRCjadezo2qTxOnrTWQjO/jO9YgCUU8J8E/aX76RJQtY6r5Ox+zj0/tD79HFI4jZGwdSIpcui0IgmC/ZwT4hPAV/8wgu5kOF5bbukKrn0W15TBOda9JxQ+Oe8Z/qcBbHGT2j0jPvkmsMPF+mNjNLrZ6yI6AIKfgzgX30lZC8XIV7Kbx25Yxb+9rfN3FQpYLN9x5Z3fT3oa6nGUsVzGgZIwKyfDeVo1qxZ4s67qCxpOchfRf1Ev379su9AIaAsQU7uCSecIAhmbFIPG5rKAHPRP496Bil63qVQRhAF2dMhrcw2ZvX3FB6ikIOQfXgBxbT0uvp6AtX+q15in3HLa21FiqkjDnl9zFNMCcdMZbs7QAIooXNtatdHGc7rd4hSyrSVfiB+zPO0F61jymJW7n0yuS/63e/+jsbWdH64QNKGrkXz+4Z1HYfC1CIiPnWt5TynXP97gbp3DBjF+V/mfL8LdCoah4SANknKtmPfq9C+hN6nz0fMuxPqUQ4BPeB+4xlJqHHCeYc4GfSxbwTp4mqkvvrCT4sUPiC5pYomP4+oXUekJ/ZF9oNN5mBPj0ftlayxtF2v/x6KPmdL84wBUQnZy0zlHgTdiOzsusgzRhhNSCuUEVEC3zCFLjV6nO8a8Pp60NdC+l0v9zQMkIiVYATkOhDpMMKhCg2Q/oAl/TYiBJRnkL70cUDfmQwQsmLyT8oaEn0hBFql8OWml+SzqPuQQuQJer9lzmyIouczphgPUchByL6xgJw1HIcgDStU2PaRLKIGYV+IyHxmIguNQoqbrhCWPe+yz3kIaTTSRJH0UUeJS0Pn2jQ3tuiPy3yGzI9AdBsxIuuFtENfEfw48Nan4EGRbatz6qNYxqwFvY2stSiKaLYwQJqAEmLa1OeaZKeDcU4uQU2C5IIpOgdStk0kKOaUh4Ap8LxkJCgElScVG3rMuyMIHYFwJg1e13cgxPj22c+u/QiFJhcGFCQk3cjUN4ESB2ekSy3NMqRv7w1m7P5wfIQIDQVGu6Zh3/mIbZ/EIMKFvI9FKcvyLNfTgVkjSOM1dO585st2bcMAsc1Q8e8NAyRu/rJ9kK++GigwPXr0aH7SrpyCJUP5zL8kupHqoTIpIJHTl3t7aGFwDA8HUb4e+e53gxQJk/IYOjccAw9fFe62+fmebLOhfci7j+hkrAcaBfZWSshHJ+/ZKZSTEAOEygChZSXpps+cpYYhFnOqrLFNYVD7GrMWRNDqAhSkPkCVyhO1X7KtmDb1dtbNn5/dhnQrGkFUMnj2sNj9aKA0mSRkrfPGNheRFxIrEkXMV0KVQbaTqpBeRE5Ry0SWel8Ag/fAt8J7fblcmCpHLguT9zpvDn32s+s6CD4VgGXQePURpvexwNnX8Mprw6e4XpBf3n57NuFrX/PpcvO1oYXYLmds6HsVchYU1dDJfuh7pgeMvI+CH6QMCgDfxWgYIL4z1vL6hgHiMX9bkBLwForM+jQVAN98880Zox2rgBalerwZ6ZiBkKFahH48eBsudPCsV72hiw4okwLiMX1elxaFZoseRGIvprEcjr8QiYm86MpjSPvynjwysZBDPqYf+r1k0l2MFKEpYKsX4/XE3y/qi4y6LP7970Uh5xHwiPsU04ag4bA/OsS0z3w9CCV5OtIpWAeSStT3zKcuJGYtmPtNpDsJMmEai/p8mbs9G1FRXxjWvHl6FO8sHQCE4ZVK9Ht4nwVkqwLzLJ0k5NsZFwkaIfvyHLhuaID1njLFexnJhbIchdwhyqSP19z27tyNuViLugzWMxWl0tnW1nUCQvhDXBRg1/bldS/8+c9ZO+wPX4+4idfIt231ekIqDzn5ZCdkyFAIY9leKIdMXmRbHUeIASIiJ3hPj0LKpI9sQg0RI1ETkHapixoBUYlJCXoxE9+GkJRZn765XFu1vubSx3q+pmGAeKwODY1TgXazHey/hOHtCVbgnwD6jzC85wN95kQoTfyj/CdYtf83XhKmUx0NJJdLEC5t2wRpW9Rk1Ru6yENVSwMktB4jxhvJdakXA4TK3kzsLV0Bj1EyPbZ67qX6h7OM/pDhmshSecXHeZ1jseKTmDNfRmsBnwloxxAuizLGr75nsjCfdSrE7net0fBdaxdYUnWsnGci1NBR4Kt05PXNdPYQmpfgAGpefRlKbIwRGlNUvQLEde/he5Iinz0mkheyj0PqZlLU+On7JyaFMva8V/viGw2NaZt8L68//7yAxU4tIQYIo2iPwhFDOHMfeReRq8dxj8lhqNaAMFJIxxcjbqzZGYlxh4CG+PTN5dqq9TWXPtbzNQ0DpM5Wp+oNXS8REBePrGnpQhFR5LNmAWaUudw+nne1HyGHt2kcotgb/DG6lydEUUi5xSWKClG4CJFKQyEvRSa0XRoS/Jj7fsxEdAah+SmISvjI+sWLhee4Vsgvtr7pQAYk5CLz79mA9S4iaIzdG3lRt+Z3Q0kNW4QoFRWB15A25TvfeeM3nT1DP/GJbBUAP1R26TLSeGKMiNUPP5xtW78+G3bKKbal3en30AJwU0NcE9YfkDvBV0L2Tsg9sl8x0Nf62OYjEsaaNF+POM+y61CDQUhgAmvEFsT7IkPyWzETiJkh3xrWKhIYZigiLimlmYcKvE798f1xmRPeMwc1VM+ilo4w4C73tPhmGqLoploUwi1z3zBFMyX5bcz8Va2vxfS9Hu5tGCD1sApKH6re0EUh2lpGQIin/gRQtgjL6SObli3LXr7nnmw8EH1CJJQVmG2JYlTWkCDyFSt50JgxH/3YPvF+vSCQCs+nH3kkxaNbPOM+5EZ/CN51HxF51YDF9eUliEmhKWM99Fxy5tqvX7hQMI+TK8MkMcWj8nk2j6w6VnJH8F1rj9q30Z/7nM8y5V5rOnuYjkV44aMUoI6Yeoe8xgk9TmQmpnv5ig/8qv7st8ErNRc1LinY0MmFQT6aEBjxkH0cco8cf4yxpM9hKDeSDXHQdx+wbpF1NK7IkDqioE97gksFCJQDQYycUmwoWaa2fNJETfeb9hEjI+L7jzNPFXL/MGWL5w4ddL7GTsq54rOq1tdSj6fWz2sYILWecUt79byha2mAcJpCPnBU1BieDvFms82Yg10UNcILRH6UWKG3R4cg1ZHIYtsIuV/3PncC3PQFSF9KLTRAGFnxQRMLjWTQe02GebID+0rIHrW1QYWWXB6SqI2KTY+DD856jhmTW3jJqBEVsTzIWlub/J21U2O+8IWsA8hTbYrCK3PmiDkbeeaZyZUgvW09MkND5bZPfSp7EymxzLn3rXcwjU0UYsOLK9G3XOZLXsMCfhav9z70UJ/bxLWhfA6mhuiBF/UyIIr0lZB9HHKP7Fdo4XjeuEM4qVJH0nznI5R/hXMg0KMQgXSB/PXZCyFzEnKP2ifTvG1esSJ7ATW2E0GsqQrPwqeaGO99wRZ85sH12nrW11zHUOV1DQOkytk3tF3PG1qGjMlLkLIANG8JbB5Z032xJEUiggI2WGK0+wrTUZjKkcojrI9/24YN2ULUApCIsCrRvc9lRUDozaVy2RWFwa7CIurNKAhmEa6PEFP/MUTaQoALfJUOl36JfYS/0eecIy7nPmAqUlHKRSgqjtofAbEMQkGm1plEHSvzz+8Ah8JxyMumYVSWNKf8AW1QTQkpIjAL7UvoWoqIFViaewDK2VeaU144Psx7jEeX/Q+FAA8Ze8g9cn4Ei/pf/mIsPi6aQwlAQANGzhcjZISHL0pPND0zZS1RyDoy+kW0yRCnwWJQADDVbn/Un6aUkDkR3wRwu3zw3nveCGzsu2kf6WiLcoyxxk7KueKz6llfSz3WMp7XMEDKmNWIZ9brhpYHLBlzqez8LfCw8ZmaEAMkNjc2JspAw4XzRDjPFKKPnx9thp9DjKMU/eEzZJrM/Isvzg6BkbYN+yF1DQjbEYXor73mxc68ErUCO5C65wvHGZO+FKOE5a2JiMhAqZWGJtsYD5SYIoVNRP6efjobA+6YUGEKG1OrJn796zs9QkcYozH82wEDsi/CU7nvfvuFNmm9L0+5CTkbbI2FrCXn5SYQqXHfHYT33teA0FMaCTQwtQlhztZf/feQ/stniIJyeJZ9lPiY9gTkOcbqm65qUpC345wIQWJrLohHDcloMH+TUyOkHoNzGLKOej2dz94pg39IPd95/rDQm4AetjlpUTfCWhoYhLZ71L1r4sJhGvUH4B4bBPRQVUIMJN/3yOf6etXXfMZQ5bUNA6TK2Te0Xa8bWj1g1W7TK3n6vfeWMovM95wGz0pbeAddJYSdN9WHnJjy3UeODCK0M42P9SSTEXKWKRVUMF8H628ZyCeu8yuvY7oPi27ngT8h5ONva08UoiMH2CcqIXLxUTwZwmQfCh4Qo4TlzYGelsM2ZsDLSJSZPK4GYXi//rqIlIRKETSonuJFpeMXACL4BqJHPkqrb9/yPJ71YoCE5Myrc5DSoxuzF30hdentJgR1DAJaSH9N89Vz7NgWNUK+e4zfDI4nBoksZB1DjBb1/OV3IBWLuz5nBIF5ZfbsFuAPRfMa8z6SgHTU2WcLFnkpebDYLjDCvusfc3296msxY6rlvQ0DpJaz7dBWvW5o/YDlUMrOwSS6ST+glPikNixD3igL1PohJSJUQj6MbEsUgYJArTPqIlLIc9dfn3U68MCs72GHiccJyE7kqg8GFGHVQrQxIk69DUbeMgwQjs+GyqTPAeeLBbhFZHp58xay5lRamArE9I/UIvvDtCtC3bJIuaiPoVwIar+LPLIqW7ZMgyFSGflgfDy3vvNk8ngyQkNeAF/iPFvbIXsgRPFU+xGjhOrjCem/fIbgXQKRn2vKIyNgTMP1ZeJW+xzS3xYRMXDv0EG1HRFDFaTAts7670zBJP8MI0ChErKOMXuHBuMkOCZUfpzQvufddw+AXI4FGqNNOH+PksgSDqMQeea//ivbD2mcB4wf33z7PETYyffRbciQkEfW7J561ddqNgGRDTUMkMgJTH17vW5oVRHYY6+9ss4DB2ZjzjvPO9zqM18v/fWvGb2yPilNz159ddZ16NCs9+TJPk01XyugGWfOzPZEEbAvNCOVUSqK9MLHiuR/oHeO3iEqeS+AsXvfAw7IDgTJZdXC/l0Nw2jrq68mI4MzKsNa7n/RuGkQsSaFHlFf0ZUhU645n8n6J5l/TshJ1uRMI3leYpH9EbnQgAnmHihS2FLkhBcpUSQME7VRUEpqmQbRnCYDRWgc2mZ6B9PN+Jeq1kouXahCzFSiv+F9CHHIcHy3nn569hYM+tiC+pD+y7H7EiKyBojvgQqP7PsKhPRXnjvvwxGz/8SJ2UcAhPAgCfDg/ImRe5Hi+CGgzfmAXujn1bVwerWR55VDGlIMCheLsQlTvpcDt1jovDAywXTQ9ahHK6pPIo8Sa+8ISBEipnSrOYj2ktizfdeuIY+s2T31qq/VbAIiG2oYIJETmPr2et3QVYQ+X1+6VLBU+0DqLrr88qwX0GhCC2NjCupC03hMe8ik5BGdqBeYmnuOHp1623k/L+bj6dJYyDrQa3bQcccJRCJf0dfONP+EhFUZeVmL0xl1EL6wvy59k8rZ0ptuyvZBjQUjekUKm2BhRvpVF/QnVIo8sirAQoznNrRv5Oehh5UKV6yTIa8PggMISpcrjCqf06L4mLCgDoqn3n5s3VqMASXvJdcMlWfX9MU1jz76d/JOoJGFClO4pkPRbINIhquwTokIUEQ5FBEYGP8hhozeHmsqGG3fD2hzIRKCZsa9w8jLc2cjSZMAACAASURBVNdd93f+DI+9k2LMtnFyfVgkb6v3nIs0XMIBdx82zPZI4+9M9xI8THBoNu9lvIuiJmmPPYKeWaub6lVfq9X4Y9tpGCCxM5j4/saG/n8TGlKoGBu6jVGuUhogpn6wyJUffKZlVS0x8+TS95DnCz4AIDOpucQubZkQbG5A+H8lUt6ksNaJov4bDV0aIYxOpBbp4WRqzHB4yJnWV4RylCIlo8ioJGQoSSfJM1HLCIicV0Z49oPh3Qteb9ZGUVkjIVlK4bioCObBEOe1FasMbgGc8PNIH5wMpStGYvrxCrh8mGY3HCmkLiIMFtZboeg4VKi40mHgk2ZDqOiDzzpLpFpKrqAU5+7riPDd/9WvisLnEDSyd7ZsyZ766U9F0bavhHAexay1a/9cz2DWfzAFLrQWzITumGJNXccZc11DX4uZvSxrGCBx85f87saGbjmlvsVtT8JrMgKh4E59+watTQipkkzXSQlN3ELJa8p1fm/bNpGKRajUqqVsJVQ8Hx9zkju6praEKuGm1COm1JAXQk2tYQREptsAf1FAYFJhoVGYug6CHDA0PBjZmPmjHwlUmUcBFXwI0pD26d59p+UPQTHSH8J9/BdA/25cskTUMqkeWaZDUg6CYVZJNBQpP6yBYjTU90xwfVfIa9Jn+nQvL7ioAwJYRkz9gCj+ZxqRQrbo2md5HdH7ZgOem3slRMjIzqLjcV/8otPtIm8fBiFTHkOFiGttAGTgEnXhniMoxYJLLhHvAN+3B4DcdRTejwdguMXMHfsfUsOhjlukKOIdCUEoDOE8qoUB4hqF9q3V0/eLiB5x/+PMk9IwQELfql3rvoYBUmfr1TBA4gwQpsgQHtakpLksdTPMLELy4kPnEBYvQxmX/Xge4fmeUHSPQ2oZc51Dcf5dxu5zTdlKqEhPQG69SE9wrDUiH8AMeEh986JNnj7mtrOwm8o42cdPxv9+CbwF9MS/g8LwrYgGvI7fqDy6Gkg+80sUGNZZcf1lfjvZoxkBMNW4pFJImFpDgIHhp53WortLb7yx0vojzjOVkqOhcJZlgIQAWHCuuFYhDOrqBMeuXwyZJvvB6AeNiilQ7F2EgBtDgYIXk/LnAx0tlGE4JD5QHBLtOnTIDgJM63yc1bEGiKu3P29uSMz51iuv7PTeuMzl0yBcJQKXT+poLRR0nsEPotZkOaJdowDvbfoWsgCdjhpfOGV9XvT9X4vxuayN7RpXfe0dwE5/C4byX2GktkN96XgU3P8BqJmvAUL6bETQXwTE/t5wNF6KtMIZTTWe2+BwPA/fvieffDLbc889sx/CAD8F79zuJA0DpM5W03VD11m3S+mOKTXGhi/+MNispyJFwwe619R5HogzkdLjkg8e+/EqmjwBRwu0IRYcxioppSxSiQ/1RZkK/WiZDMjNyDX/MArMmVZAD99e+DgQZpnG7RR4vE0pWinhqFc//LDgQaFXWhogedj4XIJUeyOPayZFkXvsVuE6HAEPP/PmQz39RX0Qc46iW8JLuwoLcLe8/LI3+aVNAXNtX14XUi+ntuHDBM9z+U9IvaLnmrn/odE/EvExwjcdCqxNTGcsz0TCktOQiYlAse3YmrZlAAhp361b1g8AJr5CAlVGUHzg1UPPOt++8XoW6B+DdDmTiAJ0nJUjP/3pkEc337O7GyD/DfrE+4Quh7HJupZXYfD3Buzw51HL1B/phP+Cd4CGxicReaYx0qZNm+z7qI9ajrm9AuAqL6HIf9q0admzzz6bdcM+212kYYDU2Uo2DJD/tyAhGPsiFQWh3NjitUVgeN4fXgoVGjBvq4SkC/lsu/uQm0yEllp+dHz6V+a1PmP2uVbts4zmMNrCgkvmtndEnc1J8PrT4H0IRu0ThJiEwiWjHXpBegyBnGn+JCkglVtpgGzEx4dKsilNJpUBQoOXaYx6LntsbVWKPUIPeL+jjso2IR1r7Be+kOKRLZ4h5hcEmOMuuMD52c/fcIOIkMUi03HvCocH9luIvIoiXhqPoUhEbNN1D8WmK6nji2mTNTM8Gzn/IbUX+hlAA5fIXqwxcYl8q/czfa8vPNc9wAPlK6x1nA0SRB8479CzzrdvvJ4phiRFVWuuZNrxM4gIMwpFAzB075r2Xi3HFzIn8h4XfW3r1q1ZX6SEr0a0tKOWPs3/T+OiZ8+e4pGHoq7wR3CyHAlAhFGjRgnjY3IToufpSMk9HnN9DtJkdxdpGCB1tpIuG7rOulxad0IiC64fNFunN8Kzxo+RCwIXD+PbQQq1GQoA0xJ8P162vrDodhIUFKaXxaYa2Nqqt999PkQ+15rGmadYmfbhJxFKfwIfChals0A99ZrTI30P0sCILEOuDYpOBhiiyNnWN48VnmOlYuZb4G9rz+d3MsEvJQIS0hL6olYjtZiKYW1tMH1myEknZV2QLhcjRBsSHELwhoZICGS53o7r2RlyLueNybXNPLSxP2POyPsTmwLH/rHejFDqIeSKLI4fd+GF2T7goAoR30J013kL6Yt+D5EoefaoJKep045VgA1RzwSDLDatK8XYbc9w0dcWIkL3CSAUnoa01nsxl/sAbY4Rj0OQWt0P4CJMtZJCI+MEpOMxLasTQDYYDdkf6JeU7yDFmAbL95CavLtIwwCps5XcF0V53LAN+Tvx3gpwDzAVh6lQAxDutxUsMm+fCkG0wNstnnXyyU6PWg4WbvbPt/7A5eGbli3L3oeXjF7xISee6HLLbnPNC7fe6jxmn2tNE0QQAc61lG7gk6FSEbIPUyzAXCi3ByKlg8XuUvT9TYOBhvIa5KD3AS8LEXxio3+md4h8NP0RfWAqWlXy7ltvCTZ4Qh93HzEiyVjlWMQ84rxhDYzPPBINijxF5EaKkQ3PPCMibz51AGp7hElmChDnJlRcz07WynC/sS7H9VzO65Nrm7zftPfnITVoBxS4XpMmJdkP5FpyPfPVMYmzB0SOePmCpp8F+UQ5dEn5Nc1FUKOONxGIg/tc/a7mnZWOj2xxGd+9BUh3RY5S1g3vdS94/Nc99ZRYz3qXYXAQ9enTp7mb34SjkH+qPP3009kk7M8rES2iYbFgwYLsGKQwLga/06BBgzJGSKTQSPk49pE0QJiCJaMj30Y9Do2ShgFS77tiF+6fi0W9Cw/Pq+vNJGQ4nAh1SpI/W5g31guudtDHKxWLBFI0MfzAstCPhlgjApI/U7Frn+fVK7vg3jQitnkpwvad4CGj51Hm2euez9SeSPbF5F0VHBlNaFxeL3HCizlWekbVVLipTdGh2GZC5zFVQbzgQkAOOPktQoQKHI3VHlDgQsXVq846O1TFZq8i/z82+ueD3mba++JchMc8FRCESIXjPofDy0dc5y7vXb8dNRTNEXQAAajfORMpagryRdfxCfJHRBxZ9C/WG/0jISudAXSMxc69Xn/DFEgirI0FJHa9i4u+tmHDhuwAEAi/SwCFJkeFTLX62Mc+lr2MNNtGCla9r3Qr6Z/Lhm4lU9E8zLXwILw2b57TgRSrhKpzS9hT5pp3wOFRJPTgzAIW+tHwWJclzHXmRzGW8bes/pX1XJ/19Lk2TxEoM63KZ46Esk2GdQ1lS1d0UqbDyP4ZDRAUUVa998oYqxxz6LNTGSCM7rDOaAbOnBAhRO1oIBXZzqqiZ7so0Yx6sCj5WCBPpRCybdO5ZEvtM3FCha5ZUb8XXnZZ1ptEtmPHeg3PZe7yHmiDfjcZx9sBllArZ5SpQJ8pp3cjOrwWBfSEvY9JQdXXcX9AO0+Do0FN+fJajBpe7KqvfRjZEd+AjsAajhUrVoiICDNd/hEOlIFI35RF6KeCZ4lRDxah899onMgi9KlINWQRencDDHsNh5y0qUYKVtLpjH+Y64aOb2nXeQIV/HsBiXssMOBtEquEqs9nagsJpoZa0rA240BZimLUWCKxvLHRA3UDDjCmBzElKBR1xjZ39fi7D7RuyrWvei7ylKuaeIENxkaMgpVqLkOjFC7thz475bzEPIuFwodBYWEaV6i4tL9y1iyBFDYCueqxwnPtDnj+mVqqRvlMz+UZu+ymm7JJ2JtSQtesqN/r4OhiOtsYGHM+4jJ3ec+zGVL67/2QmkRwlFjkL9fx5fWPRq8wHpUUJNdnqtfp60iy07Hgo+l3xBEhj6vpPa76Go0KIl5t3LhRREH+F7I5WBeyDnDuZ6G2joXohOf9NQz7mU1IakzN4j1M4SIM73/AKUWUrN1JGgZIna2m64aus26X3h0eUmS5thVpplRC6ZV8HO0S7rFICMG4d5cuIke+DDFh4KdKPSmjvymfyYgEP3JEurFJyrW3tVX273nK1WwUILLgdu/OnUUXZHEuazMGHHtslCdSjkkYffDE74UPopQYBSvVXJWZCiefvQRcGGT3JsGdLd0zBYGgOjcxcxxzb/MaI82OSExFjNZsZwbOw1iYc7bpc66Z4I7L2A8sRGeKma9yHzP/NkNK/X3Ptm2zKegf994MpEDVQvL6lyrtWK4jASa6ou6OdZ4EmdgPKFD1Lg19LW6FGgZI3Pwlv7uxoc1T+jpw0u8DBwML4liclhcFiPkQ6C3zYLwG0Iptmfta0OYj8GZMRHiVRaBliM1DVkab9fJMwiH3YkoEcoJtsjsZICbliuP/M7yD2+A1G4xCRfkOSJhm2/y4/k4YXqZVdEINSrNyStbpCKZu17arvk54wPHnUouxFTwti0EQKlHKYvsec3bF3Cv7TZjjCYCibd+1605D4X58DEbpIow3VRTW51wTJJFIPQnh2fBdF1/FWhiiKBAOQc9i35prHQGCQYQ3Qt7qNSBEQCTkbXugbJ0A4stlgAh3JY30Hb/pO0hH0CJADY8444xsOvpCIzV12jEzHe5GyjONkNGAmo1JJ4wds+v9DX3NdabM1zUMkLj5S353Y0Obp9QVez7Fh1j2wLVN3w+W76axech8n7crXU90mXbw9vcHLroqxsJMKgG7sZJs8hiPQvieBIkkR0wlZMTeb8yYFhw4Kd+rVP0s4zk+UKzr5s7NNgDJhhG6FKJHt3yeGbs+fJ9uBnrgO5s2ZYNQGKs7eHyiFa799jnX5iP9lk6g7sOHuz4++DrfQnQB3/zb32ZTWZwfIST7ZO2JiXtqM2oBiAJGHpy7kB62A9H5UZ/7XE3TcdcCmYr7ncZBWWnHPHsYgeoGdClGIus93bihr0VseNzaMEA85u9tYPOfAQ/AkiVLMsLl9kJayKXwWrCISBVa8sRsvvPOO0W+Xw94Lf4T3oMhQ4ZYW2tsaPMUuXrLUnrBXdss2wApI9XAuhHr5IJXAPf51po12XAt93Un5QUF29uhCOzOBohpP7LwmNCt5EJIJYTcpYeTLNdSYhXcVH2rxXNc0e+EcQxc/lRwoYtBOkbIZRV22XW8setjKjRW0zxdz0LX/vK6ZgLQa67JDpg4MfsICsDz0t5ijDOfPvFakgr2xvvUE0a4i2yAPkBY4ljUJkbfyOo+GoaFLlT+yfq+ZeXK7BGkYTITIBZ9ymVsLfQaRHr4rSMp7nPXXy8ipKn5eOYgujIHGQVlIN35jtfl+oa+5jJL+dc0DBCP+aMBcj8Kkz9K3Hfgff8KGOS34iN0N7gqVPkzPBUsGJo9e3bWFjmb/4bQNREPrsdLa5PGhjbPkIhG4GAiU3XRwZvSAGmRe4t8eBZ5Eu2DEIQsUKfiMQoKINMwiNrRkPQz8PrSpWKuD0HxvSo7FWbCM9h7ypTsiB/8IH0n6uSJpv1INJwjsB9T8s/Qs78RShVrrqTEKrh1MoVO3eBYBSu5BYpVeOWRr06yyFihMn4P9virRBWCk8vX8xu7PjYDw/X8DZkHIlw9BGjXo1F3kycqUV1IG673cB2aGdGx/13WYeUDD2TvAqwklqOJ5KP8xpkI+Eg0SaWc6ZHkq5HC/Xc6yO1qJVwHnjdE6OP3MEUtUNG5Xuvx+c5jQ1/znbGW1zcMkIj5ewpeCUZEXkB9gm6AEOXg4YcfFsyV/wOH63tQnH/mkB7S2NDmBeGH4S/wDFExGgaynjzYv5QGiPTQvQwDc9PzzwvyM8pqrCsNoT1hlLBQjjnAw4EK4/KxithurfLW7a+/ns0HMohu4AmPLd4xcqPQIGVhNguxd2dDsHk/Qhn5AMWyZ2AfUiH40C9/mXRvbFm1SjCOT1IItWIV3KQdLPlhwgMOY9YGxfowcvVZEEx+hFixQbHanh+7Prb2ufeuQxoki6BTgR2oY2L/D4fzIA/FK3Z8tvmTv/ukhcl7GA3oDL6ePtOmuTaTe10erPOzV18taiNW3HNPxnqQ92Gs1DoCwk4vBRIZAVdehOO1DNj5kPmPnvSIBzT0tYjJw60NAyRi/shWyfSqn//85y2e8gEU0m8BUeS3yAslc2VfhCoffPBBYYzYpLGh82eIbMGvPPJINg4QfXmS0gBRP0os0KTSlydVfAxse2l3+D2vwJMK0fWIQG2C8T8evAQjAefJwkxVad4dxp83BnpKB51wQrYS3s9URdCyLXpiSfB2BGA2pdRKAayHNXOFYk05J7YIRNG8MOX3AYIEaN8hn7nk+0TEP/JgiCJzRHr1dKiU49X79jIU63fffDMbdsopxm6X2bbaYMg6zEUmxCBkRYSy2Kvt56XzzoWTge87me6r5CriGj2Cs4EZIL5IYS77cVdLN27oay6rmn9NwwAJnD+mWN12223ZfQiHsh5EFUZGvosQ5TXIbe2MAtr/DwWirwExhYQyujAqokZG1iDfnQZMQ3aegaIQNa/m4UUI0VA0krw51z9KZAEmQRxOYREWl1Lv4eJddU/lGZX0FnL+CZm6Calaq5AKQRbd1iCMUvxh8uSs04EHZkOhtKWOvqkKH98rpsiUoXDU41q5QrGmIiHkHMR4fmNJDNU1KFL0yzQCmIbFCEse4mCZbavjD1kH1qccCgCMdnA2xgrbJxKWjgBFh8MkODUl/HZsO6H38yy4AoiErBEb+ZnPJD93QvtV1X0NAyRu5hsGSMD8/QR5mNcCCu9eeB+7GiALvwKPbP/+/UUhOuUZeO4lA6atucaGLp6hoo/+jm3bssf+/d+zw/GXUlrk3iPNhwRJ9MzzEGY6VlXh8JRjrOdnFRkgHRFdHAnIWJKjCUQioEK1BikzJ5/zJxU+KhyM/hFpi0W2qQ2del0rF2CJlAaI9Pw++8c/Zn0B/X3MxRdbeUjk3L25enX23HXXJSFCrcoAKUIcFI6lGiHcyXVYDPjvoYC85rfExgeTsj7lxdtvF6mkA8HpoxuGR8JZychDlWIDK6iyb1W03dDX4ma9YYB4zh+jFX/ER4LGR7cc3gde81fkad+Ow4RF6D9EKgPrQe644w5ra40NHW6AbAfLKAtDU9cB5IWFd7VwsXXz1ekFeUoR/30AkJr4Uab3cevatRlZdFuDhKSK+MyLnHNbbYDPM3ela21QrCnSnkzzwT3MNCifM2w9DO+1KF6n5zxWCg2QErlgivYz+VYWYU5iYW595oZ1f6wvG3T88dbbUqb9EuXqedRfTUa0QzdAYlLsrINwvKDsc8exG3VzWUNfi1uKhgHiMX+r4Wnqh2KzQYMGidoOyt7wVjyOw/98eAdPPPFE8fcOwsmMgtDoaIdC5d69e2e/+c1vdoLrNTXd2NDFCyK8TT/9qZGtN6Un0GNbNC4teQZMShHTZGYDeWzC/23vPKClqq4+vkWkP4oU6SIEgSAdEQQBIUhRiEqNiYoCUSFgYoRIFsuoWViIBaNBwQpK0WCUYgkCUlT6R+ApYGiCT0V678K3/0fnZRzmTXn33Jl75/7PWm/Beu/ec8/+nTN3zj67DRsm69XVsUKjRsYqdUmXLi6Pxhvd58dVJJmRh5gHccOBg4WZmvb58LffmsxGkVYfYxVSP3hYKxq4YBVKtrAkrLCwAOYVP5HMvJtihPqZilZU1U03qFjreeeaNYLMbA0042CqGhRBpEVOpL6OTQUEim20An9usk+GqdvvnWTG4oVruV9zNgtUQJzxs343F3RspCvVugTTeCkNxots+zZuFAQzNhk82Pq8sMP0EYj25bt/yxbZohbGJkOHmi9sFOgylZLVPS4IzW3rW8itZJlmJkok/XUmMY9n9TF/1406lGA3kk+gqnYbzXSUV0aoSNabNRYxFDvhdB5MMTwUoWza9CddRUtM4PRZ4feH1jMSSZTUulrd1aUs5PqEujRoqTxcMIqAHnbFSg0cGr9NBQR9RnP/s/2M/M6d2++d/I4rXfdxv+aMPBUQZ/ys380FHRspvmwLFi1qqqRGNhRx2rFqVUpPyqwvAHZ4DoFFI0dKKw30DM85v/2jj37Iva/Vm/GFXbFFC5MmuaIWNGNzTgB5/nHyj8/aVI1JMBtcrTmQV/pr50/0Tg/xrD7x/u5UEqQ6hQWiuirViTRTuV4DgyOVhkTujbzmq0WLTEHPSGvKoa+/lg1qaUS6azcbNv5zNMvhNZpBMhTvYAo0NmlirJypbInG+NhWDj5S9ytkoAuv7eMVC0gq+fvhWdyvOZslKiDO+Fm/mws6NtI9Wg32K918Nr7rrnMuRBGvA1u3mkJebJlDYIW63NXt29dkfAq18KrR+HIuU6eOVGvXTsrWq5c5gqdRkv/TasdI+1msfHlZqoVUw1PypnFYKXl0uJvJeeefL63VGhFeFTxWwLSNASKWDWlXW6uVJZFmUrR27y6lL7kkkctjXoPsal9oXYvIGAS4Qe3USt2X9e/v+BmxOsAJ+7uaXWmv1l2qg3pPqgSvGDNGLrv99nMyQ7k6EO0cGRUx9wXVzTqvZlxBVVmPVjwwP+OD/DPUwn9UXcBqhbn/UQHJD0337+F+zRljKiDO+Fm/mws6NlKTIlMLgLXXSsWR7SuttXJi/35zKs6WOQTgFoLTzwqNG+cK9elDD5n6H0XV7Wq1ZgxCjRj4a5fU7HNszgkgq1IpdYU5vm+fSW9d69prnXfqkx7C3UxQbBRrar/Wm6mudWewIUabdtVVUlDTr7thFcLzc61OPz4zViamWHEbySLPK5X5Nk26glS5bq+DaDEGsMjgfY+sg6ls4YcceT3XtmXIZJn6seZUyL2vuR6w4Hdt1R2SzVsEuF9zNh9UQJzxs343F3R8pHmZxo2vsGZEuqRz5/id8ArfENis2eNwChnudhee+hJuIwv0S7qnZp4rVq6cb+Ty8kC3z58vp44ckW+WLJEWqtilu/5Aulh9qifgiPc4q0pBeLxHIml68zvmZC0scNmxuUGPdtq+QdPOl1ILCyrEu9miubfBvSyRWAzb40Lgu0ntrQWH82ooWrk7OzvmNcmMK5r8XfUAJhXub8mMk9f+QID7NWcrgQqIM37W7+aCjo80LwVk49tvSxGtTB+UQOT4pDLjimiudeGbpGN798pzF10kQzUmJDxOJDOkT48UodSu2GD9Qis9B7VF2xAiQHq1MrlSi8O50ZKNMbHtnhOtP5vVvmMxi+b+dvS779KigCRS+PYDTX28S93TQu5i8WqGxFsv0SxASAWcCve3eGPj388lwP2as1VBBcQZP+t3c0HHR4oTP/jcFihY8CcXr58yRUrXri2VtEI0W+YQ2L95s2x5/31pqi5XoRZZqfsZDdrFvBuXGHWTcboRyBx6+ZMEtRdWasFVFEVDRqagtmgZsSq3aiUn1DWt9g03uIIl0VSnxlVM34Nrnn9eGt15p7V1H62w3ieadhiuQIVLlXJF5lCn4e5v+P+1WgAT6zBdNTAiD7tCzGEhRNrvHLW+RlrHnAAKyb9G61k10jhHJH3IUddiWCNraZwPm7cIcL/mbD6ogDjjZ/1uLuj4SE3Qpfqkl65V6ycXZ7/0klRUF4HyarJnyxwCJw4ckJVPPSWtdROEhi/+BaqEhjYlxmVFA0HxezfSomYOycQlwUboZc0q9otx486pypx4L/6/MrThRIHTxpreGxvC/2jMUbT3jy1pQ5tQPMc8Mw+FOlFFJdlxIfVyZNA3Mj2Z+ksprMSNonyfvfKKiUNKhwsWuEUqIOHMI7ni8KOPxsrYaOHPRWHCElWqSJUrr7TRNfuwSID7NWcwqYA442f9bi7o2Ejx5fyBZkRByt1Is3eq3ASsTzo7jEkgsur0EXXJwMYkVCQsWZcV4o7/GcPJOmIfWiAFsip3QbcoYUOIDTg44P9Xaz0it4Ois3WNoyZHxebNo06YW+se8R6oxVG5Zcvc59p280rkM4h3/RTddB9Va1zDQYOsWXgSeTauwfPf0sKmCL5HDRIogtM1vnD7vHn/6wKB8S4cfCz+85/lCk22UkjTX0P5hXJz4aWXJjp0XpciAtyvOQNNBcQZP+t3c0HHRhqrSNgKNdXXu+kmKVG5svV5YYfpJRC+Afp2+XKTlQhzjebWSXB6JU7f08nzXPbZL79s6mwgE5ubAejhT4aivWb8eLlSa+BEa27NE2KuUOiz3q9+lVYFxO2Cj/E+YSYjlVpdz5w6lWtZFa1TEvpdAXVPRLwhLK+2s6EZa77WNoICukTTYCPtfFGNb2TzFgHu15zNBxUQZ/ys380FHRtprFO/Jeqr3njIEJOalS2zCIQrIMYlQZXMKq1bGyFZndfuXLt1sm53lKntDRvyzTNnSpOhQ2WhFuNLVUzCXI17yisJANY9arTAGtjwjjusFYlE/E/2iy9KSz2FD7V0WEDSvQ6jPb+XZtrD76GI1FBriFuFObcvWJAbZ2RiHrUWStCtkKn9xCf2NO7XEuOU11VUQJzxs343F3RspLGKhMFs3VLdRZgJyfqyTHuH4RugaIUJ0z7ADBqAWyfrfkYEN0BYPlB7ZtuHH0oTPehIRcNc1L/1VsnSGIBobZ9aApF+PDxBg9NxRbo8or90KCDpXod5PT8VFjBTEFKzraHyfDrYO11DQbmf+zVnM00FxBk/63dzQcdGGn7aXVD9Y1Gp+eCXX5oiYfAVxslkKgMlrS8AdngOAcz5NHV1KFi06A/zvGuXtFd3O54IurNYP/SOEwAAGFNJREFUaFGKzhWxH5U1JqFEpUpSVQsRpqLt0FoUS7To5qnDh3MLIYave9TAQaG+S2+80dpwIj9vl2vg/SL9QdxLKlu612FuRirNMtZA4w5bjhpl3K0Wa1wU3j9utvBEG0gAkGr2bsqWSX1zv+ZsNqmAOONn/W4u6MSRwjcW/rihNIgXNWsmN338ceId8EpfEIgszAZf/Js++cQXY+cgM4fAWnVL2jJ7tnR59VUpUrp0SgRbMnq0fKr1RvJK9epGgcDIzxvcjNBaa1KCILaN77wjhbKy5GINBP92xQrZu2GD1L/5ZtdRhDJhUQFxHXW+H5DIfm3//v3Svn373GccPXpUtqhL5049MD19+rTcooUuN2uq+cIaU/S8Krtt2rQx1+K6AVpnZoWuuQKa7ODRRx+VGy0eNORbaIs3UgGxCNNGV4ksaBvPyYQ+In10s6pVkzs0dSNbZhGInGfUpmilgbms95FZ8+xlaXAavhApeDUtMbKCpWrtxYuDWKlWiUt795aS+u6z1SKfCatP3X79pKnGvwSxHduzR5D6HQpYXing3eBCBcQNqnb7zM9+7XG1ni3U2i6zZs2S29WyVr16dXlAD1KhaPTq1csoIwW1xtlDavmEovKqHnhs3bpVWmn9ofXr10sZrXmVKY0KiMdmMj8L2mMipGw4kT66tICkDH1KHxQt9z7rfaR0CgL/sHTFIxhrBCwgelIabc0vGD5crtJrzr/gAmtzZLI/6Wb7zMmT5pmX3XabcTkLz4pl7WE+6WieKl8dn3nGxAFdPXZsStx8zdyqBWzRfffRBcuj6yQ/+7X69evLaJ3X66+/XkqUKGGUi/LqSo7WQjOfjdGEA7CY4DooH5f/WFi5T58+0q1bN+nfv79HaSQ/LCogyTNz9Y78LGhXB+ThzkM+uusmTZJq+oHFyXi6ClZ5GJPvhxaa5xV/+5vJDBNqNgt/+R4SBXCVQDxLhFsPN3WP1A1j15o1Ukc3IJFZl9wIUA5l10LqYVRYR2FXxF9djOxPAW2wfl2pStliVQY6PP10SiigrhXcvpDlDFmw2LxHINn92pIlS+SGG26QnJwcOaAFdqup5RKuVqEGJeO6664zbllZ6vYHa0iFChXMn0foGoTCcn8eabm9Ryf+iKiAxGeU0iuKFSsma7XIHlviBL7XPO3wzT5Pi4T9rEePxG/klb4isE0LgG2bM0fO6GlwATVRX3zNNeYLmo0E3CaQzrV3QjcqO1evNocskW3TjBnys1/+0hXxN779ttTWzdKOlStN2usg11falZ1tLEKYCyTCSEVDrMlJTT5w8uDBlD0zFXJl0jMu1eKQlcPqjt2jCQPwk1cbpAU14UIFK8cede2D+9WRI0dyL++t7pTdu3fPVUDgghWyjgxXixiUEiogmbSCPCZLshq1x4afluHgxO6fnTrJnnXrpOmwYSnzz06LsAF+aLqz4gQYfeBFT+faQ1pcWDqiWXfdsICEJvtT9UGHBWTda69J3b59Jatq1cCug8NaFHJSo0aGQW0NBE5FDNC+jRtllbp7ofglKsGzeY9AMvs1KBqVNIPeci2kW7duXSNMcc3k+aVm8aQLlvfmNpAjSmZBBxJQFKFjVUcnIxIgARLwO4FQQHK4HNHqddiUEyl+j+zYYawvSPoQ5PpK+I75WNPwogBhquLPvleLC9KPQ9mBJYrNewSS2a8hnuNFzaT3cVimTsRz1KhRIzcIvWfPnibwHEHoCEyHchIKQm/ZsqUJQr8wgwot0wXLY2s6mQXtsaGnbTjp8s9Om8B8MAmQQKAIRKuGDXeglVr3qLVuVNxop0+cEBR3Fa19karK727IYaPPdH3HvFSnjlzzwgtSTRURNu8RSGa/dpUmckDWq9s0qUOofaeWtZs1pTMC0QsVKiTjNMteu3btzJ9hMcH1q1atMml4H1YlGFmyMqlRAfHYbCazoD029LQNJ10ZatImMB9MAiQQKAKrdWOCIPAL1ec81PboaWjO4sXS6Le/dY0Fsj8V0AxbQS+El47vGLj9vaTzjWK7tTS2MRVuX64tpAztmPs1ZxNLBSQJfsePH5d+mg99ncYaIFi8YsWKpnAMTGiRLVuD1obqyxsa7hk9QXrkkUcSKiLDBZ3EhPx4aTr9s5MfLe8gARIggeQIRKt4jsD408eOSS3NmuNWW6bfWzv/8x/p/sYbbj3CF/2m4zsmsiAk3OBaahV2Nu8Q4H7N2VxQAUmCHxSQ+fPnS9euXU0e8Gc1Td7MmTNljmbmCW9Iq9agQQOZOHGiqWqJapf7NH1oKNAo1iO5oJOYEF5KAiRAAgEgcGzvXlmtdSiu1Jogofa5BoeX01oBFzVt6goBbLrnDRkiX/zzn9L8j3/kCbwrlPPuNF1uXykW09eP437N2fRRAXHAb6WmJ4RFZNOmTT/pBYFGCxYskNdffz3p3rmgk0bGG0iABEgg4wlEBqIve+wxuUyDWItfdJErsqfD7cgVQXzaKfl7f+K4X3M2R1RAHPBDsZiyZcvKUxoIGN6QB/qg5u7eoRlEUHCmYcOG8sQTT9AC4oA1byUBEiCBIBOIVEAQmN5ei3OepwGqbjSewLtBNfE+0+H2lfjoeCUIUAFxtg6ogOSTHzISzJo1S+apHy7iQcIbYj/eeecdWbp0qSlSM0rT923UnN5vvvnmOU978sknBT+h9s0335iYETYSIAESIAESCBFYqOlYW2s17oJFiphfuVkDBP3zBJ5rjwRiE6AC4myFUAHJB7/HH39cpk2bJnPnzpXSpUuf0wP+jmrmkyZNMn9D0Hq3bt1MTud4jQs6HiH+nQRIgASCRQCn4bP69JFDalFH5XNkRFp4772upsflCXyw1hilTZ4A92vJMwu/gwpIkvxgrZg8ebJRPsqUKRP17u3bt0vnzp1l2bJlUrJkSWPhWLhwocyYMSPu07ig4yLiBSRAAiQQKAKwRnyq1o8zWpwuVAjv2M6drioggQJMYUkgHwS4X8sHtLBbqIAkwQ/xHNWqVZOaNWtKVlaWubNw4cJG0Rg4cKD00Fzd+EGD9eMxDRJERcsqVarIhAkTpGrVqnGfxgUdFxEvIAESIIFAETgnHqNDBynfqFHg63MEahFQWM8R4H7N2ZRQAXHGz/rdXNDWkbJDEiABEvA1gfB4DBQGvHzECLlAYw9bolI5GwmQQFoIcL/mDDsVEGf8rN/NBW0dKTskARIgAV8TCI/HOKkZFttq9quDW7eaNLxsJEAC6SHA/Zoz7lRAnPGzfjcXtHWk7JAESIAEMobAXmRU7NhRimoK+Dq9e7NAYMbMLAXxGwHu15zNGBUQZ/ys380FbR0pOyQBEiCBjCEAd6xPtCL62dOncwPSW44cmTHyURAS8AsB7teczRQVEGf8rN/NBW0dKTskARIggYwhwAKBGTOVFMTnBLhfczaBVECc8bN+Nxe0daTskARIgAQyhgALBGbMVFIQnxPgfs3ZBFIBccbP+t1c0NaRskMSIAESyBgCLBCYMVNJQXxOgPs1ZxNIBcQZP+t3c0FbR8oOSYAESIAESIAESMAqAe7XnOGkAuKMn/W7uaCtI2WHJEACJEACJEACJGCVAPdrznBSAXHGz/rdXNDWkbJDEiABEiABEiABErBKgPs1ZzipgDjjZ/1uLmjrSNkhCZAACZAACZAACVglwP2aM5xUQJzxs343F7R1pOyQBEiABEiABEiABKwS4H7NGU4qIM74Wb+bC9o6UnZIAiRAAiRAAiRAAlYJcL/mDCcVEGf8rN/NBW0dKTskARIgARIgARIgAasEuF9zhpMKiDN+1u/mgraOlB2SAAmQAAmQAAmQgFUC3K85w0kFxBk/63efd955UqBAASv9nj17VtBfEFuQZcd8B1n+IMse9LkPuvxc+/zOC+L3fbo+92fOnDHftWz5I0AFJH/cfHFX1apVJScnxxdjtT3IIMsOlkGWP8iyB33ugy4/1z6/82x/l/qlv6Cvfb/MU/g4qYD4cdYSHHOQP5BBlp2bsOBuQoI+90GXn++94H72OffBnfsEt4Seu4wKiOemxN6AgvxCCrLs3IQF+4uIaz+488+559zb20H4q6egr31/zdYPo6UC4sdZS3DMTz75pNxzzz0JXp1ZlwVZdsxkkOUPsuxBn/ugy8+1z++8zPomT1yaoK/9xEl550oqIN6ZC46EBEiABEiABEiABEiABDKeABWQjJ9iCkgCJEACJEACJEACJEAC3iFABcQ7c8GRkAAJkAAJkAAJkAAJkEDGE6AC4pMpHjZsmMycOVO2bdsm2dnZctlll5mRr1ixQn7/+9/LoUOHTP0Q+EF26NDB/G3jxo0yePBg2blzp5w+fVruv/9+6du3r/nbnj17ZMCAAbJlyxY5deqUtGjRQp5//nkpWrSo54gcP35c+vXrJ+vWrZNixYpJxYoVzVhr1KhhZLvllltk8+bNUrhwYfP7Nm3aGBmOHj1qZAQjsHn00UflxhtvNH9D/u67775b3nvvPVMrBbEyYOXF5ob8f//732XChAmGC35GjhyZuza8xMAN2UPyffHFF9KkSRMz748//riXxM4di1vyv/XWW/LAAw+YzwHy2ONzgM+Tl5obsgfhvffyyy/LU089JevXr5exY8fK7373u9xp9ct7L79zH0t2v7zzMFluyB+E916s+Yf8fnjveekd7PZYqIC4TdhS/4sWLZKaNWuazfXs2bONAoKNQ7Vq1eS1116Tq6++WjZs2CCdOnWS//73v0aRaN26tQwaNEj69+8v3333nVx++eWyZMkSqVKlivzhD38wG28oLN9//71ce+210qNHD09uwvEynj9/vnTt2tWM+dlnnzXK2Jw5c+T222+X6tWrm80UFI1evXoZZaRgwYLy0EMPGQXr1Vdfla1bt0qrVq3Ml3KZMmVk0qRJMnHiRNPHgQMHpGnTpvLBBx9I3bp1Lc2YvW7ckH/evHnSvHlzKVWqlHz11VdG/pUrV8rFF19sb+AWenJDdgwLa75jx45SuXJl8+NlBcT22l+9erXcdNNNgjUA2Q8ePGg+L1DuvdTcmPsgvPfWrFkjhQoVkkceecQcLIUrIH557+V37mPJ7pd3XkgByc/nPpb8QXjvxZLfL+89L72D3R4LFRC3CVvuH6eUIQVk9+7dZvONk/5Qa9CggTz44IPmpL9EiRJmA16hQgXz5+7duxtFBaf9+CI+fPiwjB8/Xk6cOCGdO3eWe++91yghXm/YKMMismnTJiMjlIvy5cubYeMLd8yYMdK+fXupX7++UT6geKH16dNHunXrZhQyKFz4t3fv3uZvI0aMMBswKDJebzbkj5QRCm249cirDGzJPnr0aGMxw2cAP15VQCLnwYb8v/nNb8znY+DAgV6d5qjjsiF7EN57IXh4v+GQIVwB8et7L9G5jyW7X995GLct+TP9vRdr/v363vPVSzrJwVIBSRJYui8PV0AwlksuucRsnnr27CnLli2Ttm3bmpMvKBlQNqB04P+wCmBz/utf/1pgit67d6+55/PPP5djx46ZE1EoI35ocLkqW7asjBo1yliAwhUwKBnXXXedccvKysoycocUMCgZUFjgigZF7aWXXjJM0MaNG2de8jDher3ZkD9cxrlz58qtt95qFDovuuCFj9WG7GvXrjWbso8++kj++te/+koBsSE/rF34jCxcuNBYP/B/KN7nn3++p5e+DdmD8N6LtQnz63sv0blPVAHx0zsPMtmQPwjvvVjz79f3nqdfyg4HRwXEIcBU3x6pgOCl8qc//cm4WOHLJScnR66//noZOnSoiReBVQOxIHDfuuCCCwTFep544gmjbCCmAi5Y2MDD8oFNKE7NvNwefvhhmTVrlnEfgeIEC9CRI0dyhwyLBpSukAICC1DIOjJ8+HCjlIQUECgbIevIP/7xD1m1apXnFRBb8oeAIZ4IVqGpU6fmxs54df5tyI5YF7gxvvLKK/Lzn//cbLz9YgGxIX9o7eNzM336dOPGic8+LKZejYHCerQlexDee/EUEL+995KZ+0QUED+985Jd+3nJjzjPILz34q19v733vPpdbGtcVEBskUxRP5EKSORj69WrZ2Ik4N8e2bp06WJcjhCYDZcbfBGFLADYgC9fvtzERXi1wdIzbdo0welV6dKlzTCLFy8uX375ZSBcsGzKD3ZQQBFX8+KLL5rYIS83W7IjQQNOwmAJQ9u/f7/ZhCN2CBYxrzZb8uOAARYPKByIn0KD9Q+ffbgrerHZlD0I771YmzC/uWAlO/fxFBA/vfMgiy35t2/fHoj3Xqz599t7z4vvYttjogJim6jL/UUqIDt27DBZodBeeOEFY9lAMDaCtWEVgfsR/v/vf//bBKQj8w/cbHDq2axZM/nLX/5ismBhQwL3LVgJvNhgqZk8ebJRPhBEHv6iAZNQEDrcymD1QFAtfgflJBSE3rJlSxOEfuGFF5rfvf7664YLgtCRDQlB6FDgvNhsyw8OUD6wXhD/4+VmW/ZwWf1gAbEt/5QpU0wSB/wbUr7w2Ud8hNeabdmD8N6LtQnz03svP3MfS3Y/vfMgh235g/DeizX/fnrvee097NZ4qIC4RdZyv0OGDJEZM2YIFI5y5cqZE1z47CPgHBtzbCSweYYlA3ERaDjZRupZbMYrVaokzzzzTG76XgRu33nnnfL111+bVJzImAXLCQJzvdbgVgaZ4EYGFyo0jBMxL1Cybr75ZhOIjswvOM1t166duQauWTjlhWsVUs3ClI+TbjRkQUJqYygdaNh8hQdreomBG/LD4hGZ9eqxxx7znDLihux++iJ2Q3583uGa+f7775u4DygfTz/9tHHR9FJzQ/YgvPdwsHLffffJvn37zDsRVmK4reKQxS/vvfzOfSzZ/fLOw2fQDfmD8N6LNf9+ee956R3s9liogLhNmP2TAAmQAAmQAAmQAAmQAAnkEqACwsVAAiRAAiRAAiRAAiRAAiSQMgJUQFKGmg8iARIgARIgARIgARIgARKgAsI1QAIkQAIkQAIkQAIkQAIkkDICVEBShpoPIgESIAESIAESIAESIAESoALCNUACJEACJEACJEACJEACJJAyAlRAUoaaDyIBEiABfxFAocaGDRvKG2+8Ia1atTKDR7rut956S+bPn29qDMVq8Qqn4l48Y8KECTJixAh/weFoSYAESIAE8k2ACki+0fFGEiABEsh8Au+9956pk7N69WpTN+iqq66SpUuXCpSLeC0RBQTFQps3by67d++O1x3/TgIkQAIkkCEEqIBkyERSDBIgARJwi8CAAQOkSJEiRgm57bbbZNCgQVEftXjxYhk8eLAULVpUWrRoYQrgvfvuu6YA6vDhw2XBggVy6tQpKVWqlCmUWrt2benSpYvMnTvXXIOiqSiQiSrQU6dOldOnT5sCiSiiesUVV7glHvslARIgARJIMQEqICkGzseRAAmQgN8IHDx40Fg8mjVrJh9++GHU4Z84cUJq1qwpkydPlvbt28ubb74pffv2lezsbKNcwMJRrlw5c++0adMEVYtnz54t0Swgu3btkvLly5trYW0ZOHCgfPbZZ37DxvGSAAmQAAnkQYAKCJcGCZAACZBATAKwZNx1111SuHBhWbNmjZQoUeKc69euXSs9e/aUjRs35v6tdOnS8vHHHxsFZMqUKcaScejQITlz5oxAqcnJyYmqgMyZM0dGjx4te/bsMVYR9H38+HEpVKgQZ4oESIAESCADCFAByYBJpAgkQAIk4BYBKAGNGzc2gecTJ040ysNzzz13zuOgmPTq1SuqAlKyZElp2rSpLF++3FhJoFB06NDBWEUiLSAnT56UsmXLGnctWFygqMBlC4pLNMXHLbnZLwmQAAmQgHsEqIC4x5Y9kwAJkIDvCfTr188oDQ8//LAcOXJEGjVqJOPHj5eOHTv+RDa4YNWqVctYOtq2bSvTp0+X3r17Gxess2fPSufOnWXTpk0mPuSOO+6Qf/3rX0YB2bt3r1StWtUoGrB24N8KFSrI9u3bzb+whIwaNYoKiO9XEgUgARIggf8RoALC1UACJEACJBCVAJSIBx98UFatWpXr/rRw4UITiA6LR1ZW1k/uCw9CRxwI0veGgtDvvvtumTlzplSvXl06deokY8eOzc18haB2uGoVL17cBKGPGTNGxo0bZ67t0aOHCWCnBYSLlARIgAQyhwAVkMyZS0pCAiRAAiRAAiRAAiRAAp4nQAXE81PEAZIACZAACZAACZAACZBA5hCgApI5c0lJSIAESIAESIAESIAESMDzBKiAeH6KOEASIAESIAESIAESIAESyBwCVEAyZy4pCQmQAAmQAAmQAAmQAAl4nsD/A8noogjvpAJbAAAAAElFTkSuQmCC\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize=(10,4))\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax1.plot(dfw.index, dfw.GWL, 'darkred', marker='.',lw=0.5)\n",
    "ax2.bar(dfw.index, dfw.pr.values ,width=20,color='c')\n",
    "ax2.plot(dfw.index, dfw.pr ,'darkblue', lw=0.3)\n",
    "ax2.set_ylim(0,max(dfw.pr)*4)\n",
    "ax2.invert_yaxis()\n",
    "ax1.set_xlabel('X data')\n",
    "ax1.set_ylabel('Y1 data', color='darkred')\n",
    "ax2.set_ylabel('Y2 data', color='c')\n",
    "plt.grid(alpha=0.5)"
   ]
  }
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