{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Volcanic Forcings: 1850-2000\n",
    "* Wenchang Yang (wenchang@princeton.edu)\n",
    "* Department of Geosciences, Princeton University"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-05-30T18:36:02.689563Z",
     "start_time": "2019-05-30T18:36:02.674847Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**2019-05-30T14:36:02.680714**\n",
      ">>> Importing Python 3.7.3 packages...\n",
      "[OK]: import sys, os, os.path, datetime, glob\n",
      "[OK]: import numpy as np-1.16.3\n",
      "[OK]: import matplotlib as mpl-3.0.3; backend: module://ipykernel.pylab.backend_inline\n",
      "[OK]: #---import matplotlib.pyplot as plt\n",
      "[OK]: #---from pylab import *\n",
      "[OK]: import xarray as xr-0.12.1\n",
      "[OK]: #---import netCDF4\n",
      "[OK]: #---import dask\n",
      "[OK]: #---import bottleneck\n",
      "[OK]: import pandas as pd-0.24.2\n",
      "[OK]: from mpl_toolkits.basemap import Basemap\n",
      "      PROJ_LIB = /scratch/gpfs/GEOCLIM/wenchang/miniconda3/envs/geoclim/share/proj\n",
      ">>>Import packages from Wenchang Yang (wython)...\n",
      "[OK]: import geoplots as gt\n",
      "[OK]: from geoplots import geoplot, fxyplot, mapplot, xticksyear\n",
      "[OK]: import geoxarray\n",
      "[OK]: import filter\n",
      "[OK]: import xlearn\n",
      "[OK]: import mysignal as sig\n",
      "**Done**\n"
     ]
    }
   ],
   "source": [
    "# init\n",
    "%matplotlib inline\n",
    "%run -im pythonstartup\n",
    "%config InlineBackend.figure_format ='retina'\n",
    "plt.rcParams['figure.dpi'] = 150\n",
    "# https://stackoverflow.com/questions/41125690/matplotlib-notebook-showing-a-blank-histogram\n",
    "# in case to switch back to the notebook backend, run the 2 lines below, \n",
    "# reload(plt)\n",
    "# %matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-05-29T20:29:13.432827Z",
     "start_time": "2019-05-29T20:29:13.430561Z"
    }
   },
   "outputs": [],
   "source": [
    "#%matplotlib notebook\n",
    "from geoplots import yticks2lat, xticksmonth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-03T19:46:24.421658Z",
     "start_time": "2019-10-03T19:46:24.377462Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing tmp\n"
     ]
    }
   ],
   "source": [
    "def ext2aod(ds, band=7):\n",
    "    '''calculate volcanic aerosol AOD based on extinction coefficient.'''\n",
    "    Rd = 287#J/K/kg\n",
    "    T = 300#K\n",
    "    g = 9.8#m/s**2\n",
    "    data_name = f'extsw_b{band:02d}'\n",
    "    if band == 7:\n",
    "        new_name = 'AOD_550nm'\n",
    "    else:\n",
    "        new_name = f'AOD_b{band:02d}'\n",
    "    da = ds[data_name]\n",
    "    z = da.pfull.pipe(lambda x: x.isel(pfull=0)/x) \\\n",
    "        .pipe(lambda x: np.log(x))*Rd*T/g\n",
    "    da = da.rename({'pfull': 'z'}).assign_coords(z=z.values).integrate('z') \\\n",
    "        .rename(new_name)\n",
    "    \n",
    "    return da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-03T19:46:40.994276Z",
     "start_time": "2019-10-03T19:46:40.990514Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Appending to tmp\n"
     ]
    }
   ],
   "source": [
    "# Parameters\n",
    "figname = 'figs/fig_volcanic_forcings.pdf'\n",
    "data_name = 'extsw_b07'\n",
    "ncfile = '/tigress/gvecchi/CM2.5/input/VOLCANIC/CMIP6/extsw_V3_DATATROP_RCP.nc'\n",
    "ds = xr.open_dataset(ncfile)\n",
    "da = ds[data_name].mean('lon').sum('pfull')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-05-29T20:32:05.742232Z",
     "start_time": "2019-05-29T20:32:03.908313Z"
    },
    "code_folding": [],
    "scrolled": false
   },
   "outputs": [
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\n",
      "text/plain": [
       "<Figure size 1200x1050 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1039,
       "width": 1182
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# CMIP6 revision with units\n",
    "scale_factor = 1e5\n",
    "da_ = da.pipe(lambda x:x*scale_factor)\n",
    "da_['time'] = da_.indexes['time'].to_datetimeindex()\n",
    "bbox = {'facecolor': 'w', 'alpha':.5, 'boxstyle': 'round'}\n",
    "\n",
    "fig, axes = plt.subplots(3,1,figsize=(8,7), sharey=True)\n",
    "cmap = 'OrRd'\n",
    "levels = np.arange(0,16.1,2)\n",
    "\n",
    "ax = axes[0]\n",
    "# plt.sca(ax)\n",
    "da_.sel(time=slice('1850', '1899')).plot.contourf(ax=ax, x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "\n",
    "ax.set_title('')\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('lat')\n",
    "ax.grid(True)\n",
    "ax.axhline(0, color='gray', ls='--')\n",
    "ax.text('1886-06', -6, 'Krakatoa\\nIndonesia\\nAug. 1883', va='center', bbox=bbox)\n",
    "\n",
    "ax = axes[1]\n",
    "# plt.sca(ax)\n",
    "da_.sel(time=slice('1900', '1949')).plot.contourf(ax=ax, x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "ax.set_title('')\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('lat')\n",
    "ax.grid(True)\n",
    "ax.axhline(0, color='gray', ls='--')\n",
    "ax.text('1915-01', 58, 'Novarupta\\nAlaska\\nJun. 1912', va='center', bbox=bbox)\n",
    "ax.text('1905-01', 15, 'Santa Maria\\nGuatemala\\nOct. 1902', va='center', bbox=bbox)\n",
    "\n",
    "\n",
    "ax = axes[2]\n",
    "im = da_.sel(time=slice('1950', '1999')).plot.contourf(ax=ax, x='time', cmap=cmap, levels=levels,\n",
    "                                                      add_colorbar=False)\n",
    "ax.set_title('')\n",
    "ax.grid(True)\n",
    "ax.set_ylabel('lat')\n",
    "ax.axhline(0, color='gray', ls='--')\n",
    "ax.text('1994-06', 15, 'Pinatubo\\nPhilippine\\nJun. 1991', va='center', bbox=bbox)\n",
    "ax.text('1985-01', 17, 'Chichon\\nMexico\\nMar. 1982', va='center', bbox=bbox)\n",
    "ax.text('1966-01', -8, 'Agung\\nIndonesia\\nMar. 1963', va='center', bbox=bbox)\n",
    "\n",
    "\n",
    "yticks2lat(np.arange(-60,61,30))\n",
    "\n",
    "ax = fig.add_axes((.23,.08,.6,.02))\n",
    "plt.colorbar(im, cax=ax, orientation='horizontal', label=f'{data_name} [{1/scale_factor} m$^{{-1}}$]', extend='both')\n",
    "\n",
    "for ax in axes:\n",
    "    plt.setp(ax.get_xticklabels(), visible=True, rotation=30, horizontalalignment='right')\n",
    "\n",
    "\n",
    "\n",
    "plt.tight_layout(rect=(0,.1,1,1))\n",
    "# plt.savefig(figname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-25T18:30:45.598832Z",
     "start_time": "2018-07-25T18:30:44.962139Z"
    },
    "code_folding": [
     0
    ],
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\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",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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.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",
       "            /* 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",
       "            evt.data.type = \"image/png\";\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",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\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",
       " * http://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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             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",
       "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"pdf\";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.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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1s+1QquAFiUeHwNEPagyQABg48aNaNasGXQ6Hfz8/Ez+lkdUVBR8fHzg4uKCgIAAxMXFmb3vogIkPT0dOp2OAWInWiw+KmhB6pDhUVHxobYQYXwwMih1AEPefqPIAGnT+jl8GPa+5LLQ999FuzatxX+/1jcYL73QVXKbF5/vgjde/b9i7+/g3m0QBAEZp48UexsGiHpQbYDYAgwQdWqR+KjgRSnDQwHtcNxKBwJjg1JqtLgACXimOaaEj5VcFv5hKJydnXHnxmUgLxve9epi9uefSG4z+/NPUN+7XrH3t33zWmg0mhLXZAwQ9cAAkQEDRJ3KDhAFFqYOEx9KR4dSc15B41A6GhgdlFKjxQXIxHFhqF27Fg7H70Dh7as4tG87atWqCUEQcOn8cSAvG87Ozli+aK5ku+WL5sLFxaXI+8q7fhGtAlqg/xv9SjwmBoh6YIDIgAGiTssdHwouzO0+PpQODCVDhPHB6KDUAS0uQG5fM2DQO2+hUqVK0Gq18KpTG+PHfABBEJCVcRLIexAgP8f8JNlu2cIfodPpTPZ358ZlBPfqjmdaPl3qeowBoh4YIDJggKjPcr/7ofAC3W7jQ+mgUDJEKvB4lY4Ihgel9FGLCxCjd25chuFMCu7dyhJPTDf+vTRzP4J158Zl9OndA82fborsi3+VekwMEPXAAJEBA0R92mJ8yAkQpY9bLQtwxWNEoWNTOiIYHZTS4iwtQB62Q/s2ePO1V8R/v9Y3GN1f7Ca5zUsvdJWchG6Mj6ZP+eHKhVNm3Q8DRD0wQGTAAFGXtvruR3kiROljVeNi3NFUOiYYHZTSojyRFI/kA7vQu+eL6NShHZIP7ELygV3i9adTDmDpwjn461giEvdsw+v9+sDDozrSTiWJt4nfuQVarRafffIxTh7Zj88++VjyNbx3b/6Nl3u9hHp1vXAkcTcup50QLci9VOyxMUDUAwNEBgwQdWnL8WEXqmBR7ggqHRSMDkppSfrU94YgCCYar09NTkDLFk/D1dUVjz1WBcG9uuPU0f0m+1m9fCF8mzSCs7Mz/HwbY+2KGPG6tFNJRd6HIAjY9fv6Yo+NAaIeGCAyYICoSwYIw8PeVTosGB2UUluWAaIeGCAyYICoR8YHw8OeVTouGByUUnuQAaIeGCAyYICoR8YHw8MeVToyGB2UUnuSAaIeGCAyYICoQ777wfCwN5UODYYHpdQeZYCoB7sNkIKCAowZMwZjx45FQUGBVe6DAaIOLRUfdvUVuIwPm1Tp0GB0UErtWQaIelBlgMyZMwdPP/00qlSpgipVqiAoKAhbtmyR3CYqKgoNGjSATqdDQEAA9uzZI7l+yZIlWLZsGWJjY7FgwQLJdSEhIRAEAZ9++qnk8nXr1j34pgYzYYAor1Lx4TARooJFub2rdGgwPCiljiIDRD2oMkA2bNiAzZs34/Tp0zh9+jQmTZoEZ2dnHD9+HACwcuVKODs7Y/78+UhNTUVoaCjc3NyQkZEh7iMmJgYrVqzA6tWrMW/ePMn+Q0JCoNfrUa1aNVy7dk28nAFie5odHxYOD4eIEBUszu1VpSOD4UEpdUQZIOpBlQFSFNWrVxffyQgMDMTw4cMl1/v5+SE8PFz8d35+PkJDQxEWFob8/HzJbUNCQtCrVy/4+flh3Lhx4uUMENtSDfFhtxGigkW6Pal0XDA+KKWUAaImVB8g9+7dw4oVK+Di4oITJ06goKAAWq0WsbGxktuNGjUKHTp0MGufISEhCA4ORmxsLPR6PQwGAwAGiC0pJz4sGR52GSEqWLArFQT2HBmMD0qpo8sAUQ+qDZCUlBS4ublBq9WiatWq2Lx5MwAgMzMTgiAgPj5ecvsZM2agSZMmZu3bGCAAEBQUhMGDBwMoPUDy8/ORm5srajAYGCAKWerCsYzhcb5jU4kOGSEqCIOKCg1HV+nnL6WUKiEDRD2oNkAKCgpw5swZHDp0COHh4Xj88cdx4sQJMUASEhIkt4+MjISvr69Z+344QOLi4qDVanHixIlSAyQiIgKCIJjIAKlYyxof5kZHcdp9gKggFBgcDA9KKbW2DBD1oNoAeZSuXbti2LBhFv0IlpEePXogODiY74DYgJaID3PDozwhonhMMDooo4NSSouUAaIebCZAunTpgpCQEAAPTkIfMWKE5Hp/f3/JSegl8WiApKSkwMnJCePGjeM5ICq2qMVVWeKjpLjY6lJJ1K4jRAXBwOhgeFBKqRIyQNSDKgNk4sSJ2LNnD9LS0pCSkoJJkybByckJ27ZtA/Dv1/BGR0cjNTUVYWFhcHNzQ3p6uln7fzRAAGDAgAHQ6/UMEJValvgob3g8ankiRPHAYHQ4tEo/TymlVM0yQNSDKgNk8ODB8PHxgYuLC2rWrImuXbuK8WEkKipKvE1AQADi4uLM3n9RAZKeng6dTscAUaHFLbbMCZCyRoc5EaLaAFFBJDA6GB2UUqpWGSDqQZUBYiswQCpGpeJDtQGigjBgdDA6KKXU1mSAqAcGiAwYIBVjeQKkrOERIQiIEASzIqRCAkQFIcDoUJdKPw8ppdTWZYCoBwaIDBgg1re4xVhRAVLcux/mvNOhWICoYPHP2FCvSj//KKXUnmSAqAcGiAwYINa31AAp5eNX5n7UyhIBwuBgbDA6KKVUvTJA1AMDRAYMEOtbEQFijA85AeLo0aH0ot0eVPq5Riml9i4DRD0wQGTAALG+FREgJb0DYu5J6I4UH0ov1O1NpZ9jlFLqKDJA1AMDRAYMEOurtgBxlHc/lF6UO4pKP78opdSRZICoBwaIDBgg1reiAsTcr+G19Xc/lF5wU8YHpZQqJQNEPTBAZMAAsb5yA0ROiNhSfCi9mKaMD0opVbsMEPXAAJEBA8T6lhogZYiQssRIafGhxMeulF40U0YHpZTasgwQ9cAAkQEDpGIsS4CYGyHFRYmS53wovUCmjA5KKbVnGSDqwWIBMmjQINy4ccPk8lu3bmHQoEGWuhuLU1BQgDFjxmDs2LEoKCgo07YMkIqxuMWduRFSlhCpqI9cKb0wpowOSil1NBkg6sFiAeLk5ISsrCyTy69evQqtVmupuykXUVFRaNCgAXQ6HQICArBnzx7xuiVLlmDZsmWIjY3FggULyrRfBkjFaYkIKcly/5FBxobDq/Rzg1JKqXkyQNSD7ADJzc1FTk4ONBoNzp49i9zcXNFr165h8eLFqFOnjiWOtVysXLkSzs7OmD9/PlJTUxEaGgo3NzdkZGQAAGJiYrBixQqsXr0a8+bNK9O+GSAVq1kRUkSIlCdK5H7MSulFMWU4UEoplcoAUQ+yA0Sj0cDJyalYtVotIiMjLXGs5SIwMBDDhw+XXObn54fw8HAAQH5+PkJDQxEWFob8/Pwy7ZsBooxmh0gpMWK2DA6bU+mfUUoppeqTAaIeZAfI7t27sWvXLmg0GsTGxmL37t2iCQkJyMzMtMRxlouCggJotVrExsZKLh81ahQ6dOgge/8MEGUtU4jwG6nsTqV//iillNqWDBD1YLFzQNLT03H//n1L7c4iZGZmQhAExMfHSy6fMWMGmjRpUub95efnSz5iZjAYIAgCZkR+gllffVmiPy+LMXki/LwsptTtZn31JRLitku2y8+5ZNZ2s776EplpqZJtTx87ZNZ233/3jcnx/r7lV7O23bButcm2P82NMmvblD/jJdtdvXim5G2+/FQ098wOyQL10I6VD677bHqJxnw/wyQw1sz//9s9tP+i3LVhscnCuLRtjJ4/tEGy3flDG8ze9tH73LVhsVnbrVn6o8m2MT99a9a2h3aslGyXe2aH2cd75cRWybZH41abtd1PP8wy+VnasG61WT9Lv2/51WTb77/7xqxtTx87JNkuMy3V7Odcfs4lybYJcdvN2o6vEVZ6jXjIG1czJNse3r/brO1iFs43Od61q342a9td27eYbGvu8aadPiLZLu30EbO3ffQ+d23fYtZ2a1f9bLJtzML5Zm17eP9uyXY3rmaYfbxXL56RbJvyZ7xZ2/00N4qvEWZsy9eIB9fNiPyEAaISLP41vP/88w9OnjyJo0ePSlQCY4AkJCRILo+MjISvr2+Z9xcREQFBEEwMDw/H1KlTS3TBvB9NnkwL5v1Y6nZTp07Fru2bTV44zNlu6tSpuHD2mGTb48kHzNpu5swZJsf7a+wqs7ZdtWJpkf/hmrPtnwfiJNtlXTht9lhzTm+XLHLjf1tu1nZR33xpsihfMv87s7b9bU20ybbmHu+ZE39KxnrmxJ9mb/vo47t10zqztlsaE22ybdT35o01/rflknHmnN5u9vH+few3ybaH/1hp1nZFLaRWrVhq1ra/xq4y2XbmzBlmbXs8+YBkuwtnj5k91kcXF7u2bzZrO75GWP81Ijcr3WThZ852Ud9/Z3K8S2Oizdp266Z1Jtuae7y29hrx6CI3Nyvd7OPNunBasu2fB+LM2o6vEXyNeNSSXiPCw8MZICrBYgFy5coV9OzZs9hzQZTA0h/B4jsgtvXbTfEdkFKM+elbk4hYs/TH0rf9ir/dNPd4+dvN0rfjawTfAXlUvkaUvh1fI/ga8ah8B8Q2sFiAvPXWW2jbti0OHjwINzc3bNu2DUuXLoWvry82bdpkqbspM4GBgRgxYoTkMn9/f/EkdDnwHBD7kecVUEoppfYtzwFRDxYLkNq1ayMxMREAUKVKFZw+fRoA8Ouvv6Jdu3aWupsyY/wa3ujoaKSmpiIsLAxubm5IT0+XvW8GCKWUUkqpbcgAUQ8WC5AqVaogLS0NAODj44N9+/YBAM6fPw9XV1dL3U25iIqKgo+PD1xcXBAQEIC4uDiL7JcBQimllFJqGzJA1IPFAuTZZ5/F1q1bAQDBwcEYMGAALl68iPHjx+OJJ56w1N2oCgYIpZRSSqltyABRDxYLkGXLlmHRokUAgKSkJNSsWRMajQY6nQ4rV6601N2oCgYIpZRSSqltyABRDxb/Gl4j//zzD/78809cvXrVWnehOAwQSimllFLbkAGiHmQFyOjRo83WHmGAUEoppZTahgwQ9SArQDp16mSWnTt3ttTxqgoGCKWUUkqpbcgAUQ9W+wiWI8AAoZRSSim1DRkg6oEBIgMGCKWUUkqpbcgAUQ8MEBkwQCillFJKbUMGiHpggMiAAUIppZRSahsyQNQDA0QGDBBKKaWUUtuQAaIeGCAyYIBQSimllNqGDBD1YNcBUlBQgDFjxmDs2LEoKCiw+P4ZIJRSSimltiEDRD2oNkDmzJmDp59+GlWqVEGVKlUQFBSELVu2SG4TFRWFBg0aQKfTISAgAHv27JFcv2TJEixbtgyxsbFYsGCB5LqsrCwMGzYM3t7ecHFxgaenJ1544QUkJCSYfYwMEEoppZRS25ABoh5UGyAbNmzA5s2bcfr0aZw+fRqTJk2Cs7Mzjh8/DgBYuXIlnJ2dMX/+fKSmpiI0NBRubm7IyMgQ9xETE4MVK1Zg9erVmDdvnmT/7du3R+vWrbFz506kp6cjMTERM2fOxKZNm8w+RgYIpZRSSqltyABRD6oNkKKoXr26+E5GYGAghg8fLrnez88P4eHh4r/z8/MRGhqKsLAw5Ofni5dfv34dgiBg9+7dso6HAUIppZRSahsyQNSDTQTIvXv3sGLFCri4uODEiRMoKCiAVqtFbGys5HajRo1Chw4dSt3f3bt34e7ubhImZYUBQimllFJqGzJA1IOqAyQlJQVubm7QarWoWrUqNm/eDADIzMyEIAiIj4+X3H7GjBlo0qSJWftes2YNqlevDr1ej7Zt22LixIk4evRomY6PAUIppZRSahsyQNSDqgOkoKAAZ86cwaFDhxAeHo7HH38cJ06cEAPk0RPGIyMj4evra/b+8/LysG3bNkybNg1t2rSBVqvFokWLir19fn4+cnNzRQ0GAwOEUkoppdQGZICoB1UHyKN07doVw4YNk/0RrOIYMmQI6tevX+z1EREREATBRAYIpZRSSqm6ZYCoB5sKkC5duiAkJATAg5PQR4wYIbne399fchJ6WZk1axZq1PBHKrIAACAASURBVKhR7PV8B4RSSiml1DZlgKgH1QbIxIkTsWfPHqSlpSElJQWTJk2Ck5MTtm3bBuDfr+GNjo5GamoqwsLC4ObmhvT09FL3nZ2djc6dO2Pp0qU4evQozp8/j1WrVsHT0xODBw82+xh5DgillFJKqW3IAFEPqg2QwYMHw8fHBy4uLqhZsya6du0qxoeRqKgo8TYBAQGIi4sza9/5+fkIDw9HQEAAqlatisqVK8PX1xdTpkzB7du3zT5GBgillFJKqW3IAFEPqg0QW4ABQimllFJqGzJA1AMDRAYMEEoppZRS25ABoh4YIDJggFBKKaWU2oYMEPXAAJEBA4RSSiml1DZkgKgHBogMGCCUUkoppbYhA0Q9MEBkwAChlFJKKbUNGSDqgQEiAwYIpZRSSqltyABRDwwQGTBAKKWUUkptQwaIemCAyIABQimllFJqGzJA1AMDRAYMEEoppZRS25ABoh4YIDJggFBKKaWU2oYMEPXAAJEBA4RSSiml1DZkgKgHuw6QgoICjBkzBmPHjkVBQYHF988AoZRSSim1DRkg6kHVAXLx4kX0798fHh4ecHV1RYsWLXD48GHx+qioKDRo0AA6nQ4BAQHYs2ePZPslS5Zg2bJliI2NxYIFCyTXZWVlYdiwYfD29oaLiws8PT3xwgsvICEhwezjY4BQSimllNqGDBD1oNoAuXbtGnx8fDBw4EAkJiYiLS0NO3bswNmzZwEAK1euhLOzM+bPn4/U1FSEhobCzc0NGRkZ4j5iYmKwYsUKrF69GvPmzZPsv3379mjdujV27tyJ9PR0JCYmYubMmdi0aZPZx8gAoZRSSim1DRkg6kG1ATJhwgS0b9++2OsDAwMxfPhwyWV+fn4IDw8X/52fn4/Q0FCEhYUhPz9fvPz69esQBAG7d++WdYwMEEoppZRS25ABoh5UGyD+/v4ICwtDv379ULNmTbRs2VJ8F6OgoABarRaxsbGSbUaNGoUOHTqUuu+7d+/C3d3dJEzKCgOEUkoppdQ2ZICoB9UGiE6ng06nw8SJE5GUlIS5c+dCr9dj8eLFyMzMhCAIiI+Pl2wzY8YMNGnSxKz9r1mzBtWrV4der0fbtm0xceJEHD16tMRt8vPzkZubK2owGBgglFJKKaU2IANEPag2QJydndGmTRvJZR988AGCgoLEAHn0hPHIyEj4+vqafR95eXnYtm0bpk2bhjZt2kCr1WLRokXF3j4iIgKCIJjIAKGUUkopVbcMEPWg2gCpX78+hgwZIrlszpw58PLykv0RrOIYMmQI6tevX+z1fAeEUkoppdQ2ZYCoB9UGyJtvvmlyEnpYWJj4rkhgYCBGjBghud7f319yEnpZmTVrFmrUqGH27XkOCKWUUkqpbcgAUQ+qDZCDBw+iUqVKmDFjBs6cOYPly5ejcuXKWLZsGYB/v4Y3OjoaqampCAsLg5ubG9LT00vdd3Z2Njp37oylS5fi6NGjOH/+PFatWgVPT08MHjzY7GNkgFBKKaWU2oYMEPWg2gABgI0bN6JZs2bQ6XTw8/Mz+VseUVFR8PHxgYuLCwICAhAXF2fWfvPz8xEeHo6AgABUrVoVlStXhq+vL6ZMmYLbt2+bfXwMEEoppZRS25ABoh5UHSBqhwFCKaWUUmobMkDUAwNEBgwQSimllFLbkAGiHhggMmCAUEoppZTahgwQ9cAAkQEDhFJKKaXUNmSAqAcGiAwYIJRSSimltiEDRD0wQGTAAKGUUkoptQ0ZIOqBASIDBgillFJKqW3IAFEPDBAZMEAopZRSSm1DBoh6YIDIgAFCKaWUUmobMkDUAwNEBgwQSimllFLbkAGiHhggMmCAUEoppZTahgwQ9cAAkQEDhFJKKaXUNmSAqAcGiAwYIJRSSimltqGtBkhcXBx69eqFOnXqQBAErFu3zuQ2qamp6N27Nx577DG4u7ujdevWyMjIUOBozYMBIgMGCKWUUkqpbWirAbJlyxZMnjwZa9euLTJAzp49Cw8PD4wbNw5JSUk4d+4cNm3ahKysLIWOuHQYIDJggFBKKaWU2oa2GiAPU1SAvP7663j77bcVOqLywQCRQU5ODgRBgOFsCnKz0iillFJKqUo1nE2BIAjIycmRvQbMy8tDbm5uuc3JyTG5LD8/v9T7fTRA7t+/D3d3d0yfPh0vvPACatasicDAwCI/pqUmGCAyMBgMEASBUkoppZTaiAaDQdb6Ly8vD+4yj8Hd3d3ksoiIiFLvWxCkAXL58mUIgoDKlStj9uzZSE5OxqeffgqNRoPdu3fLGqc1YYDI4P79+zAYDEVWrL1ojCyDwaD4sXD8HDvHzrFz/Bw7x89xl9ecnBwYDAbcv39f1vovN/fBR/BHCwLCy+Hoh0Lo4eMrzzsgmZmZEAQBb775puR2vXv3xhtvvCFrnNaEAUJKxPgky8213c9LysGRx8+xc+yOiCOP35HHDjju+B113HIwPmbhgoCIchj+/wOkPI/5owFSUFCASpUq4ZNPPpHcbvz48Wjbtq3ssVoLBggpEUd/YXLk8XPsHLsj4sjjd+SxA447fkcdtxzUFCAA0KZNG5OT0Pv06WPyroiaYICQEnH0FyZHHj/HzrE7Io48fkceO+C443fUccuhogPk5s2bSE5ORnJyMgRBEM/1MP6dj9jYWDg7O2PevHk4c+YMvv/+e2i1Wuzdu9eaD4MsGCCkRPLz8xEREWHW5xLtEUceP8fOsTsijjx+Rx474Ljjd9Rxy6GiA2TXrl1FnsgeEhIi3iY6OhqNGjWCXq9HixYtsH79eiuN3jIwQAghhBBCCDETJT+CZS8wQAghhBBCCDETBoh8GCCEEEIIIYSYCQNEPgwQQgghhBBCzIQBIh8GCCGEEEIIIWbCAJEPA4QgIyMD8+fPx6effooLFy4ofTikAuHcOyacd0IIKT8MEPkwQByMwsJCFBQUYNGiRXj11Vfh4eEBnU4HjUaDRo0a4e7duygsLFT6MCuU27dvK30IFQLnXgrn3THnHXjwnfr37t1T+jAUISMjAwsWLMCECRNw4sQJpQ+nQuG8O+a8WwMGiHwYIA5IbGws3Nzc8N5772Hr1q24fv06IiIi0Lp1a6UPrcI4efIkJkyYAA8PD/Tt2xd3795V+pAqBEefe867Y847AJw5cwaTJk2Cp6cnOnToAIPBoPQhWZ3CwkLcuXMHy5YtQ9++feHh4QG9Xg+NRoMaNWo4xGPAeXfMebc2DBD5MEDslJs3b+Lrr79G69at0b17d8TExIi/+Snqt50dOnTAkCFDUFBQUNGHWuFkZ2dj4sSJ6NmzJ1599VV4enri6tWrSh+WxeDcFw3nXYq9z/vDY7516xZmzZqFnj17YujQoahSpQqSkpIUPDrr8vDYt2/fjoYNG2L48OH47bff8M8//2DhwoVo2LChgkdoPTjvD3C0ea9oGCDyYYDYKV988QWaN2+O6dOnY+rUqdBoNIiMjMQ///wDALh//z4KCwvFBUrz5s0RHh4uXmfrlLQYu3v3LjZv3oykpCSkpaVBq9Vi165dyh6wBXHkuee8O+a8Aw8+UvfDDz8gMDAQ7du3x5dffokbN24AAO7du4d9+/YhMTER9+7dg4uLCxYuXKjwEVuOosZuXNgUFZ8DBgxA165dxZ8NW4bz7pjzrjQMEPkwQGyQ0j6vfeXKFVStWhXffPONeNl3332Hp556CqtXrwYAyedg09PTERAQgI8++sis/dsCpS3GHuapp57CpEmTFDhKy+Poc895d8x5B4BFixbB398f06ZNww8//AB3d3cMHToUOTk5JrcNCgrCO++8YzfnARU3duPixhifxo8cdurUCUOGDFHykC0G590x511pGCDyYYDYEElJSThy5Eipt1u/fj2aN2+OhIQE8TKDwYDg4GD07t0bgHQxcvHiRTz++ONYv3695Q9aAcxZjN29e1f8rW9oaCiee+45VZ8PcOjQIWzdurXUj8s48tzb47yfOHECkydPxvnz50u8nSPPO/BgbF5eXpgyZYp42a+//oqGDRvip59+Em9jfP589tlneOKJJ3Dx4kVFjteSmDt2I7m5uejWrZu4ELXld784744572qAASIfBojKOXToEN5++21UrVoV3t7eeOaZZ/DBBx+IJ5E9/CJiXEht374d3t7e2LNnj3jdvXv3MHv2bFStWtXkPs6cOQMXFxf8+eefVh6NPCy5CH940bl161bo9XpkZGRY58DLSVxcHF555RVUrVoVdevWRfPmzdG7d2/s3bsXgPQ/F3uee0suwm1h3oF/jzM4OBgajQafffYZANN3Kux53gFg7969GDFiBL799lvk5eUVe7uDBw/C398f69atEy/7559/MHDgQAQFBYmXGV8vT506BY1GI3m81Ialx27kypUr8Pf3x1dffWWV47YE8fHxmDRpEsaPH49r164Vezt7nHdLj92ILcy7LcEAkQ8DREXk5ubi1q1b4r+vXr2KsWPH4rXXXkNCQgJu3ryJH374QfLZ7bt375r8BvfmzZtwdnbGihUrJJdv27YN1apVw/HjxwH8u4D95Zdf0KhRI3HhpqaPY1TEIvzatWtwdXVFbGyslUdTPA/PvfE/y7lz52LQoEFITEzEnTt3sGPHDnTp0gWvvPIKAPufe2svwtU270aM49u1axe6deuGvn37om3btgD+/dmw53mPjY1FYGAg9Ho9PDw80KlTJ+zYsaPI39gaH4eDBw+iefPmWLp0qcm+dDodrl+/Ll5mHGvVqlUxa9Yshxo78GCRqtfrsXnzZusNpJxcunQJr7zyCjw9PdGzZ09ERkbi7NmzJrezt3kHrDt2QN3zboswQOTDAFGYvLw8fPPNN6hfvz48PT3xxhtvYOPGjQCArKwsrF69GqmpqZJt3nvvPfTt29dkX0lJSeJvQ1q0aIH33ntP8sO9d+9ePP3001izZg0A4M6dOwCAmJgYeHl5Kf6NQBW9CH/4P/V27drh/fffR2FhIbKyskr8zZOlKGruN23aBODBf5Z///03MjMzJdu8+uqrePXVV032ZctzX9GLcDXP+8PHNmvWLPz3v//F1q1b4eLigvz8fJN92fK8A9K5Nx7byJEjodFoSvyCgEfn/vbt22jUqBE+++wzycLy9OnTcHFxwf79+wFAchJ+79690adPH1y7dg1XrlzB5cuXxdtUBBU9duPPVkJCAry9vcX/Z5RYiD/6nC8sLERhYSHGjBmDDh06FBkOgP3Nu/F+rTl2Nc27PcEAkQ8DRAGMLzjAg9/aPvnkk5g/fz727t2L1157DW5ubjh27FiR2wEPFhpTp04VL//www/h4uKCxx57DKNGjQIAREZG4plnnsG+ffvE261Zswb16tXDyZMnJfudNm0afHx8LD1Ms1ByEW58PG/evImBAwdCq9XC398fdevWxcqVK60y3vLO/dWrV/H999/jP//5j2T+xo4da5Nzr+Qi3FbmvWHDhjh58iT++usvuLi4YNu2beJ1tjrvgHTua9euLZl74MG7nh4eHkhPT8elS5ewYcMGpKSkFLmvI0eOICYmBgDQp08fvP7665LP958/fx5PPfUUfvzxRwAPfraMC9EPP/xQ/GOMNWrUwKxZs6w1ZBElx26MnI0bN6JOnTo4evSotYZZJKWN/dy5c/D19UViYiKuXr2KRYsWITo6Gjdv3jTZl73NuzXHrvS82ysMEPkwQKyMceHYvXt3jBw5UvId5IWFhejZsydefvllycKqefPmGDp0KLKzswE8+NiEcfFy4MABNG7cGLt37xZvv3PnTmzfvl3yg3zmzBl0794dzZs3R0pKCi5cuID+/fujZ8+e4gvSw8dYkahlEX737l0sXboUzs7O0Ov16N69O2bOnGmxvxJribkHHnzTSb169VCvXj00a9YM3bp1E08e3r59u83MvVoW4Wqed+N8xMTEIDg4WPzsf7t27cSPXf7vf/9DfHw8fv/9d5uYd6Dsc6/RaODt7Q1PT0+0atUKTz75JMaMGYO///4bADBx4kRotVp4eHggJCQEd+/exYIFCxAQEIBVq1aJ+9m5cyfq16+P7du3i8fx+++/Q6vVQqfToXv37vjss8+s+pehlR77jh07JMcTExOD6tWrV8g3QZVl7OfPn4dGo8H69evx3HPPoU2bNggICEDjxo0RFxcHAPjoo4/g5ORkd/NujbErOe+OAANEPgwQK3Lr1i0EBwejffv2mDJlCgYPHgw3Nzds2bJFfDu1QYMG4klhxkXCrFmzEBQUJL6AGL9KDwDeeecdvPnmm+LlJXH69Gl07NgRTz31FHQ6HQICAsz6Fi1LovZF+NGjR8XzSSyJpeYeePAYXrp0CXfv3sXJkycRGhqKOnXqlPgWutJzr/ZFuFrn/ffffwcAjBo1SvwNZmxsLJo3bw6NRgNPT0/xG72KQul5B+TNvXGRPXLkSEybNg0GgwGZmZn44osv0LBhQ4wePRrAg4+TbNu2TTL3ly5dwsCBA1G7dm3s2rULmZmZGDlyJNq1ayf5TbLBYEB8fLxDjh1Akb9VV3Ls//3vf3Hjxg0cOnQIDRo0QLVq1TB79mwAD74uunfv3mjdujXy8vJw5MgRbN261W7mvaLGDlhv3h0VBoh8GCAWYN++fQgPD8fmzZsli8LJkyfjqaeekpzDMWTIEDz77LPiC1SnTp0waNAgABBfnA4fPoxnn30WX3/9NYB/Txzdt28fHn/88TK9hXrr1i3Ex8cr8rWDjrAIr6i5f3RcTk5OOHfuXInHptTcO8Ii3Brz3qpVK8yZMwc5OTmoX78+qlSpAmdnZ9SuXRvt2rWDk5MTDhw4UOqx2fJz3vgO16VLl8Q/JmckMjIS3t7eJd7/9evX0bdvXzRt2hSurq5o2rSp+Btka8Oxl2/sgYGBSEhIgMFgQOvWreHr6yv55VNCQgI8PT2xc+fOYu+fY1dm7I4MA0Q+DBAZXL58GcOHD4e/vz80Gg0GDx4s+YNnr7/+Ol577TUA//724ZdffoFGoxFfjMLCwtC4cWMA/76jkZ+fjzZt2mDy5MmSxU2zZs0wffp08d9ZWVm4cuWKZFslcMRFeEXPvZF79+5h1KhR8Pb2LnXs1sYRF+HWnnfjH0b8+OOP8d133+HQoUO4ffs2Ll68iFq1auGXX34BoPwJpNZ+zhc1vrVr18LV1dXkCwse5f79+0hKSjI5d8xScOyWf87/8MMPAIBhw4ahRo0aJn84tFKlSqW+Y8mxW2/sxBQGiHwYIDLIzs5GZGQk9u3bhylTpsDf31+y4Pniiy/g5eUl+TsDo0ePRvXq1dGrVy8AD36zW6lSJXE742I7MDAQH374objd7Nmz4evri+joaIwbNw5PPPEENBpNhZxAVxyOvAivqLn/3//+h7179yIxMRGbN2/GiBEjEBgYKJ50rcRC1JEX4dae97FjxxZ5v7dv30arVq3Ex1UplHrO37p1C506dULnzp0lvyGuSDh2644dAPbv3w+NRoPFixeLC/Xo6Gh4enpa9XyNknDksZPiYYDIhwEig8LCQvHz6adOnYKTk5PkM6bXrl1DgwYN0KpVK7z99tto2LAhOnfujLfffhsdO3bExYsXcePGDfj4+CA8PFz8zyc7OxuNGjVCREQEgAeL0C5duogfP+nZsyeWLl2q+A+uIy/CrT33H3/8MYAHn1uePn06fHx8ULduXbzxxhvi3wVQ6rfgjrwIt/a8G7/drqh3NM+ePWvy29GKpqKe89nZ2YiLi8OBAwewZcsWDBw4EG3btlX075Zw7NZ9zhvHFRYWBi8vLwwaNAhhYWHw9fXFd999B4BjJ+qBASIfBogFML4wVKlSBd9++61k8XDhwgVERERg4MCBmDNnDgDgyy+/RMuWLcW/Zh4VFYU6depg6NChOH78OEaOHImgoCDxLz/n5+djz549inymuyQceRFuxFpzn5aWJu7n4sWL4nfVqwFHX4QDFTPvaqSinvMXLlzAxIkT4enpCS8vL7z11lvix1CUes5z7Nb/ZRvw4BcN27dvF99ZWL9+vcm3uFUkjjx2UjwMEPkwQCyA8USz7t27o0+fPuLbsMX9Z/Hhhx8iKChI/HdeXh5+/vlndOzYER4eHmjVqpX4DU+2gCMuwo048tw76iIccOx5B6w/94WFhcjIyMClS5cqdmBmwLE75nPekcdOTGGAyIcBYgGMb6f+9NNPqF27tvjOhZH8/HwUFBQAALZs2QIvLy8sXrzYZD9XrlxR9GTy8uLIizFHnnvOu2POO+DYc8+xc+yONnZiCgNEPgwQC3L58mVoNBrxjx8ZWbVqFUaPHo3WrVvD09MTEyZMMNlW6Y8SycHRF2OAY849590x5x1w7Lnn2Dl2Rxs7MYUBIh8GiIWpV68ehg4diunTp2P48OHIzMxEUlISRo0ahc8//xx//fWX0odoNRx1MWbEUeee8+6Y8w449txz7Bz7wzjC2Mm/MEDkwwCxAIWFhVi3bh369esHjUYDrVaLJ598ElOnTsW1a9eUPrwKxdEWY5z7B3DeHXPeAceb+4fh2Dl2Rxs7eUBFB0hcXBx69eqFOnXqQBAE8VtAi2LYsGEQBEH820JqhQFiAe7du4fp06ejd+/e2LRpk8N9a4UjL8Ycee45744574Bjzz3HzrE72tiJKRUdIFu2bMHkyZOxdu3aEgNk3bp1aNGiBby8vBggxP5x9MWYo8J5d1wcee45do7d0cZOTFHyI1jFBcjFixdRt25dHD9+HD4+PgwQQgghhBBC7AW1Bcj9+/fRuXNnfPPNNwDAACGEEEIIIcSesFSAGAwG5Obmiubn55d630UFyMyZM/H888+LX3TAACGEEEIIIcSOMAbIWmcttrpUKrNrnbUQ/n+EPGxERESp9/1ogBw+fBienp7IzMwUL2OAEEIIIYQQYkdYKkAs8Q7I119/LX4xglFBEODk5AQfHx8rPgryYIAQQgghhBBiJpYKEEucA5KdnY1jx45J9PLywoQJE3Dq1ClLDtuiMEAIIYQQQggxk4oOkJs3byI5ORnJyckQBAGzZ89GcnIyMjIyirw9P4JFCCGEEEKIHVHRAbJr164izxkJCQkp8vYMEEIIIYQQQuwIJT+CZS8wQAghhBBCCDETBoh8GCCEEEIIIYSYCQNEPgwQQgghhBBCzIQBIh8GCCGEEEIIIWbCAJEPA4QQQgghhBAzYYDIhwFCCCGEEEKImTBA5MMAIYQQQgghxEwYIPJhgBBCCCGEEGImDBD5MEAIIYQQQggxEwaIfBgghBBCCCGEmAkDRD4MEEIIIYQQQsyEASIfBgghhBBCCCFmwgCRDwNEBvfv34fBYEBOTg5yc3MppZRSSqlKzcnJgcFgwP3792Wt/3JzGSByYYDIwGAwQBAESimllFJqIxoMBlnrPwaIfBggMsjJyXnwg3w2BblZaZSabc6prapR6cfCkR97W1Tp+aOU0vJqOJsCQRCQk5Mja/3HAJEPA0QGxh/A3Kw0IC+bUrMtzNyrGpV+LBz5sbdFlZ4/Siktr7lZaRZZ+DNA5MMAkQEDhJZXpReRjrygVPrxtnWVnj9KKS2vDBD1wACRAQOEllelF5GOvKBU+vG2dZWeP0opLa8MEPXAAJEBA4SWV6UXkY68mFT6Mbd1lZ4/SiktrwwQ9cAAkQEDhJZXpReRjryYVPoxt2WVnjtKKZUjA0Q9MEBkYG6ATPtoAvz9muD+P1eQdioJgiDgy5lTS32iLPjxG3jVqY1b2RmKP2mpZVV6IenIC0qlH3NbVum5o5RSOTJA1AMDRAbmBEjmuWNwc3PD6uULgbzsMgXI3Zt/o3GjJ/DxpA8Vf9JSy6r0QtKRF5RKP+a2qtLzRilVh/E7t8DJyQkvPt9F8WMpqwwQ9cAAkYE5ATJ+zAeo61UH9/+5AuSVLUCQl42vPp2GqlUfwz//u6D4E5daTqUXk46+qFT6cbdFlZ4zSqk6HDKwP0Lffxdubm7IOH1E8eMpiwwQ9cAAkUFpAVKQewk1anhg3OiR4mXGAPk88mNETp0E73p1odPp0CqgBXZsiTXZx+W0E9BoNIie+63iT1xqOZVeTDr6glLpx94WVXrOKKXKeys7A1WquOPU0f14vV8fTPtoguT6X1cvRaMnG0Kv16NTh3aImf8DBEHA9cvngLxsREwehxbNm0m2+fqLSPjU9xb/HfL2Gwju1R1fzpyK2rVrwcOjOt57dzDu3Lgs3ubS+ePo8VI36PV6NPCpj+WL5sKnvje+/iKyxONngKgHBogMSguQPds3QhAEbFm/UrzMGCDe9eqifdsgrF0Rg9XLF+K5Vs/A2dkZCbt+M9mPv18TvBLcS/EXHmpZuZh0zMfeVlV6ziilyhs991s8G9ASyMvGxrXL0cCnPgpvXwXyHqxvnJ2d8WHY+zh1dD9WLJ6Hul51yhUgjz1WBcOHDsTJI/uxce1yVK5cGfOiZou36dalI1q2eBoH4n7Hnwl/oON/2sLV1ZUBYkMwQGRQWoB8HvkxBEHA3+mp4mXGAPGqUxt51y+Kl9+4kgYPj+ro1qWjyX76v9EPnp61FH/hoZaVi0jHeuxtXaXnjFKqvG2DAvHNlzOAvAfnqT7+eA1s37wWyMvGhLGj0Kypv+T2kyeMKVeA+NT3xr1bWeJlr74SjNf79QHysnHyyH4IgoBD+7aL1585fhCCIDBAbAgGiAxKC5DQ99+FRqORPImMATJy+H9Nbh/y9htwcXGR3B552Rj9wXBoNBrcvfm34i8+1HJyEelYj72tq/ScUUqV9dTR/ahUqZLkl6rvvzsEb772CpCXjT69e2DQO29Jtvl19dJyBUiPl7pJbjPqvWHo3LE9kJeN9auWoFKlSuK5tUarV69mtwESFxeHXr16oU6dB+8orVu3Trzuzp07GD9+PJo1a4bKlSujTp06GDBgADIzM2WN0dowQGRQWoAMG/IOXFxcJJcZAyRy6iST208YOwqCICDnxEswXAAAIABJREFU7/OSyyeOC4MgCLh5NV3xFyBqWbmIdIzH3dZVer4opco7bvRICIIArVYr6uTkBJ1Oh2uXziK4V3cMDukv2Wb9qiWSAJn20QQ0f7qp5DZfzIgo8hyQh28T+v676PiftkBeNtb9UnSAVKtW1W4DZMuWLZg8eTLWrl1rEiA5OTno1q0bfvnlF5w6dQr79+9H69at0apVK1ljtDZ2GyAFBQUYM2YMxo4di4KCAqvcR2kBMmn8aAiCIPk7HuV5B+Td/4ZAp9Mp/uJDrSMXk47xuNuqSs8TpVR57978G56etTDrs+k4dnivxCaNn8T3sz/DhLGj8HSzpyTbTQkfKwmQOd9+gVq1aornjSAvG2+93rdMAWL8CNbh+B3i9Y70EaxHA6QoDh588HhkZGSUd4hWR7UBcvHiRfTv3x8eHh5wdXVFixYtcPjwYfH6qKgoNGjQADqdDgEBAdizZ49k+yVLlmDZsmWIjY3FggULJNeFhIRAEAR8+umnksvXrVsHQTD/ISktQJZEz4EgCDh6ME68rLRzQLp27mCyn+e7dsIzLZ9W/AWIWk8uKO37MbdllZ4nSqnyrvtlCVxcXEw+oYG8B79sbdniaZw/+SecnZ0xfswHOJ1yAL8sXYB6db0kn+xITU6ARqPBZ598jLMnDuGHrz9H9erVyhQgyHtwEnrAM82RuGcbkvbvROeO7eHq6iqen1KcjhIg27dvh0ajUfU5JqoMkGvXrsHHxwcDBw5EYmIi0tLSsGPHDpw9exYAsHLlSjg7O2P+/PlITU1FaGjog++jfqj0YmJisGLFCqxevRrz5s2T7D8kJAR6vR7VqlXDtWvXxMstHSAX/joKQRDw0w+zxMse/Ras2JWLsebnRXiu1TOoVKkS9v2xWbKP+/9cQdWqj2HMqBGKvwBR68kFpX0/5raq0nNEKVWHvXq8YHJehtE/E/6AIAj4M+EP8Wt4dTodOnVohx+/+xKCIEh+4frjd1/Cu15duLm54Z3+r2PGtMllDpBL54+j+4vdoNPp4FPfGz/H/IRatWpi7vdflTgOtQWIwWBAbm6uaH5+fqn3XVqA5OXloVWrVujfv7+sMVobVQbIhAkT0L59+2KvDwwMxPDhwyWX+fn5ITw8XPx3fn4+QkNDERYWZjKhISEh6NWrF/z8/DBu3DjxcksHCPKy8Z92QZIn7cN/B2TaRxNQr64XXFxc8EzLp/H7xtUm2//xW6z4xFb6BYhaTy4q7fsxt1WVniNKqW0bOXUS6tX1svr9GM6kQBCEIv+e2sNaOkCOtvPD+Y5Ny+zRdn4QBMHEiIiIUu+7pAC5c+cOgoOD8cwzz6j63Q9ApQHi7++PsLAw9OvXDzVr1kTLli3FdzEKCgqg1WoRGxsr2WbUqFHo0KGDWfsPCQlBcHAwYmNjodfrYTAYAFgnQNb8vAharRYXzx4r15Pq7TdfRdugQMVfRKh15YLSfh9zW1Xp+aGU2p5R33yBg3u34VzqYSyJnoOqVR/D5AljLH4/f/wWi19XL8X5k38ifucWtGvTGg186kv+WGFRqi1ALPkOyJ07d9CnTx80b94c2dnZssZXEagyQHQ6HXQ6HSZOnIikpCTMnTsXer0eixcvRmZmJgRBQHx8vGSbGTNmoEmTJmbt3xggABAUFITBgwcDKD1A8vPzJT8oBoOh1AApvH0VQYHP4v13h5T5CXb2xCE4Oztj745Nir+oUOvKBaX9Pu62ptJzQim1XcNGvos6tT2h0+nQuNETmP5xuFX+hMDWDavQ9Ck/uLq6olatmujTuwfSTyWXup3aAsRS54AY46Np06a4cuWKrLFVFKoMEGdnZ7Rp00Zy2QcffICgoCAxQBISEiTXR0ZGwtfX16z9PxwgcXFx0Gq1OHHiRKkBEhERUeRbZiUFCPKycezwXsyYNtnkK+NKc+fWdZLzR6j9ykWlfT7utqTSc0EppdbWVgPk5s2bSE5ORnJyMgRBwOzZs5GcnIyMjAzcvXsXL7/8MurVq4cjR47g8uXLotb6FlhLoMoAqV+/PoYMGSK5bM6cOfDy8rLoR7CM9OjRA8HBwVZ5B4RSc+TC0v4ed1tR6TmglNKK0lYDZNeuXUX+AjwkJARpaWlFXicIAnbt2iVrnNZElQHy5ptvmpyEHhYWJr4rEhgYiBEjRkiu9/f3l5yEXhKPBkhKSgqcnJwwbtw4i58DQqk5cnFpX4+7raj0408ppRWprQaINfj111/L7O3bty12/6oMkIMHD6JSpUqYMWMGzpw5g+XLl6Ny5cpYtmwZgH+/hjc6OhqpqakICwuDm5sb0tPTzdr/owECAAMGDIBer2eA0AqXC0v7e/xtQaUfd0qp/Zl3/SJC3n4DzZr6Q6vVmnydrtEfvv4cfr6Nodfr0aTxk1i8IMrkNtcvn8N77w5G7dq1oNPp4OfbGJvXrRCvn/PtF3i62VOoUsUdVaq4IyjwWWxZv7LE42OA/ItGoymTTk5OOHfunMXuX5UBAgAbN25Es2bNHvzQ+fmZ/C2PqKgo+Pj4wMXFBQEBAYiLizN730UFSHp6OnQ6HQOEVrhcVNrP428rKv2YU0rt01vZGRg+dCDmRc3Gi893KTJA5nz7BapUccfKJfNxLvUwViyeB3d3N2xYs0y8TUHuJTwb0BI9XuqGfX9sRvqpZOzdsQlHEneLt9mwZhk2r1uB0ykHcDrlACaNHw1nZ2cc/3NfscfHAPkXjUaDrKwss2/v7u7uGAFiCzBAqCXkglJ5lQ4Cxgel1N4s6g8KIi8bbVo/hw/D3pdcFvr+u2jXprX47x+/+xJPNGxQ6tfqPmr16tWw4Mdvir2eAfIvAwcOxI0bN8y+/fDhw3H16lWL3T8DRAYMEGoJuZhUXqWjgPFBKbU3iwuQgGeaY0r4WMll4R+GwtnZWQyO7i92Q/83+mHo4AGoVasmmj7lhxnTJuPerawi7+verSysWDwPLi4uOJEUX+wxMUDUAwNEBgwQagm5mFRepcOA8UEptTeLC5CJ48JQu3YtHI7fgcLbV3Fo33bUqlUTgiDg0vnjQF42fJs0gk6nw+CQ/jgcvwMrFs+Dh0d1TPtogmRfKYf2wM3NDVqtFlWrPiY5R6QoGSDqgQEiAwYItYRcQKpDpQOB8UEptSeLC5Db1wwY9M5bqFSpErRaLbzq1Mb4MR9AEARkZZwE8rLRuNET8K5XV/KOx6zPpqN27VqSfRXkXsKZ4wdxaN92hH8Yiscfr8F3QMrAo38n5OzZswgNDUWPHj0wZMgQHD582Gr3zQCRAQOEWkIuGtWh0pHA+KCU2pPFBYjROzcuw3AmBfduZYknphv/YHOH9m3QtXMHye23rF8JQRBQkHup2H127dwBw4a8U+z1DBApTk5O4onoycnJqFy5Mlq2bImhQ4fiueeeg4uLCxITE61y3wwQGTBAqCXkglEdKh0KjA9KqT1ZWoA8bIf2bfDma6+I/544Lgw+9b3FIEFeNr75cgbq1PYscT9dOv0HIW+/Uez1DBApD38TVq9evdCvXz8UFhaK1w8aNAgvvfSSVe6bASIDBgil9qXSwcD4oJTauieS4pF8YBd693wRnTq0Q/KBXUg+sEu8/nTKASxdOAd/HUtE4p5teL1fH3h4VEfaqSTxNhf+Ogp3dzeMHP5fnE45gE2xP6NWrZqInDpJvM3EcWHYs30j0k4lIeXQHkwaPxpOTk7YtmlNscfGAJHycIDUq1cP+/btk1x/5MgReHp6WuW+GSAyYIBQan8qHQ6MD0qpLetT3xuCIJhovD41OQEtWzwNV1dXPPZYFQT36o5TR/eb7Cdh129o/Vwr6HQ6PNGwgcm3YA0O6Q+f+t5wcXFBzZqPo2vnDiXGB/IYII/i5OSEK1euAAB8fHyQkpIiuf78+fPQ6/VWuW8GiAwYIJTan0rHA8ODUkqtIwNEikajQbVq1VC9enU4Oztj+fLlkut///13NGjQwCr3zQCRAQOEUvtU6ZBgeFBKqeVlgEiJiYmReODAAcn106ZNw+jRo61y3wwQGTBAKLVflY4KRgellFrW/8femcdFVe//fwaEGUREMXNJRS0R1MxLRlherezqNTOs27ebmeJShllCWIpLoYammTdvipYrKoa5YOZSaamQEqi5oJKICopopFfBDXDh9fvD30wehmXgzMznnDmv1+PxfDz0zJzlPWfmM+8nZxkKiHLitAJSUlKCyMhIjB492uI+x7YKBYQQ50a0ZFA4CCHEdlBAKk5OTg5SU1ORlpaGnJwcu69PkQIyb948PPzww/Dy8oKXlxeCg4OxZcsWyXNiY2PRsmVLGAwGBAYGIjk5WfL48uXLER8fj8TERCxatEjyWGhoKHQ6HT755BPJ9PXr19+9UMrKUEAIcW5ESwfFgxBCbAcFxDL/+c9/0KxZM7i4uECv10Ov18PFxQXNmjXD559/brf1KlJAvvvuO2zevBmZmZnIzMzE+PHj4ebmhiNHjgAAVq1aBTc3NyxcuBAZGRkIDw+Hp6cnTp8+bV5GXFwcEhISsGbNGixYsECy/NDQUBiNRtSrVw+XLl0yT6eAEELKQukghBDngAIizZQpU1C3bl1Mnz4dBw4cwLlz55CXl4cDBw5g+vTp8Pb2xscff2yXdStSQMpL/fr1zUcygoKCEBYWJnnc398fUVFR5v8XFxcjPDwcERERKC4uljw3NDQUzz//PPz9/fHBBx+Yp1NACCEVQfEghBB1QwGRplmzZli/fn2FjycmJqJp06Z2WbfiBeT27dtISEiAu7s7jh49ipKSEri6uiIxMVHyvFGjRqFbt25WLTM0NBQhISFITEyE0WhEbm4uAAoIIaRyKB2EEKJeKCDSeHh4ICMjo8LHjxw5Ag8PD7usW7ECkp6eDk9PT7i6usLb2xubN28GAOTl5UGn02H37t2S50+dOhV+fn5WLdskIAAQHByMoUOHAqCAEEKqD2WDEELUAQVEmu7du2PAgAG4deuWxWO3bt3Ca6+9hu7du9tl3YoVkJKSEmRlZWHv3r2IiorCfffdh6NHj5oFJCUlRfL8mJgYtG3b1qpl3ysgSUlJcHV1xdGjR6sUkOLiYhQWFprJzc2lgBBCCCGEqAAKiDTp6elo3Lgx6tevj379+uGtt95CWFgY+vXrBx8fHzRp0sR8/bWto1gBKZsePXpg+PDhNj0Fy5TnnnsOISEhVQpIdHQ0dDqdBRQQQgghhBBlQwGxzJUrVzBv3jwMGjQIPXv2RM+ePTFo0CDMnz/frtunGgF55plnEBoaCuDuRegjRoyQPB4QECC5CL2ylBWQ9PR0uLi44IMPPuAREEIIIYQQJ4QCopwoUkDGjRuH5ORkZGdnIz09HePHj4eLiwu2bt0K4K/b8C5evBgZGRmIiIiAp6en1T+cUlZAAGDgwIEwGo28BoQQQgghxAmhgFSd5557DufOnbP7ehQpIEOHDoWvry/c3d3RsGFD9OjRwywfpsTGxpqfExgYiKSkJKuXX56A5OTkwGAwUEAIIYQQQpwQCkjVqVOnDk6ePGn39ShSQNQSCoj64W1TCSGEEG1AAak6FBAVhAKiHvgDcoQQQoi2oYBUnfbt2+PMmTN2Xw8FREYoIMrEEb9YTRkhhBBC1AUFRDmhgMgIBUQsokWDMkIIIYSoB7UKSFJSEp5//nk0adIEOp0O69evlzxeWlqK6OhoNGnSBEajEd27d6/273ckJydjwIAB6NKlC86ePQsAWL58OX755ZdqLcfaUEBkRGsCIrqZVzui9x8hhBCiZdQqIFu2bMGECROwbt26cgVk+vTp8PLywrp163D48GH8+9//RpMmTXDlyhWrlr927Vp4eHjgjTfegMFgMF8DEhsbi969e1fvxbEyFBAZUaOAiG7CCYWEEEIIEYFaBeTelBWQ0tJSNG7cGNOnTzdPKy4uhre3N7788kurltmpUycsW7YMgPQi9AMHDqBRo0bV3kZrQgGREaUKiOjGmlBICCGEEKXhjAJy8uRJ6HQ67N+/X/K8F154AYMGDbJqmR4eHsjOzgYgFZCTJ0/CYDBUexutCQVERpQiIKIbZ0IZIYQQQpSO0gQkNzcXhYWFZoqLi6tcd1kB2b17N3Q6HfLy8iTPe/PNN9GzZ0+r6mndujW2bdsGQCogy5YtQ0BAgLUvS7VCAZERUQIiujkmlBFCCCFEbdhaQM6FP4drY0Kqzbnw56DT6SyIjo6uct0VCUjZXy9/44030KtXL6vqmTFjBtq1a4fU1FR4eXnhl19+QXx8PBo2bIg5c+ZU67WxNhQQGXGUgMhpXu/8Ns8miG7CCUWEEEIIkYPSBMQWR0BscQoWAIwfPx4eHh7Q6/XQ6/UwGo2YOHGi9S9KNUMBkRF7C4gI0bAloht2Z0T04E0IIYSoFaUJiC0vQp8xY4Z5WklJSbUuQjfl+vXr2Lt3L9LS0nD16tVqb1t1QgGREXsKiNpkg6JCESGEEEKUjFoF5OrVqzhw4AAOHDgAnU6H//znPzhw4ABOnz4N4O5teL29vZGYmIjDhw+jf//+1boNLwDcvn0bf/zxB/Lz83H79u0avS7Vic0EZMiQIeUWeu3aNQwZMsRWq7F5SkpKEBkZidGjR6OkpKRa89pDQGwiHqsia44ChISCQgkhhBBCbI1aBWTHjh3lXjMSGhoK4K8fImzcuDEMBgO6deuGw4cPW7XsxMREPPHEE3B3d4eLiwtcXFzg7u6OJ554wuL3RmwZmwmIi4sL8vPzLaZfuHABrq6utlpNjRIbG4uWLVvCYDAgMDAQycnJ5seWL1+O+Ph4JCYmYtGiRdVarq0FpEbiIUc2KCaqRvRATgghhKgJtQqIvfLll1/C3d0dYWFhWL9+PVJSUrB7926sX78eYWFhMBgMWLBggV3WLVtACgsLUVBQAL1ejxMnTkguprl06RKWLVuGJk2a2GJba5RVq1bBzc0NCxcuREZGBsLDw+Hp6Wk+bBUXF4eEhASsWbOm2i+yLQWkWvJRDXG49w1PKXEuRA/khBBCiJqggEjz4IMPVvrH98WLF6N169Z2WbdsAdHr9eZDNuXh6uqKmJgYW2xrjRIUFISwsDDJNH9/f0RFRQG4+2uR4eHhiIiIsOruA/fGVgJitXxUQzaqg7NLibOKieiBnBBCCFETFBBpjEYjjh07VuHjv//+O4xGo13WLVtAdu7ciR07dkCv1yMxMRE7d+40k5KSYvHDKI5MSUkJXF1dkZiYKJk+atQodOvWTfby7Skg1shHTYWDUuJcQiJ6QCeEEELUAAVEmkcffRSRkZEVPh4ZGYlHH33ULuu22TUgOTk5uHPnjq0WZ5Pk5eVBp9Nh9+7dkulTp06Fn59ftZdXXFwsOcUsNzcXOp0OU2M+xqzPZlbK1/FxFh+Er+PjMGvmJ5ZMnyJh97woSUN/acyL+Oyj8ZXyadQYfBo1Bnv7PCn59c3kl56tct7PPhqPLz6KshCSH78Yh1kxH1XJd7PHW0jIV9M/tHxumTpnTZ+Cgxv+IxGF/KQvyn1eeRTsniOZd2/iLKvmi5sz1aKpX7tifvn7pgw7vltmMa81882a+QlO7f1OMt+pvd9ZPW/Zde74btndx6p4H65b/bXF+zBuycIq55v12Uzs+3WnZL4rF05bNd+sz2biwtksybzpv+22ar6vvoy12N7v1q+xat4ft2ywmHfOF7Otmjfz8F7JfHnZGVbXWlxwTjJvStI2q+arcIywYt6UpG2S+YoLzlm9vXnZGZJ5Mw/vtWq+OV/MttjeH7dssGre79avsZj3qy9jrZo3/bfdkvkunM2yutYrF05L5t33606r5otbstBie9et/tqqeXds22Ixr7Xbm515UDJfduZBq+ctu84d27ZYNR/HCI4RZXGmMWJqzMcUkHuyc+dOeHp6ol27doiIiMAnn3yC6dOnIyIiAu3bt0edOnUk103bMja/De/169fx+++/49ChQxJExCQgKSkpkukxMTFo27ZttZcXHR1d7l0IoqKiMGnSpEpZtGC+xYdp0YL5Vc43adIkbJ8zTnLU439jXrRqvkmTJiGt798lArL95V5WzTct+kOLD8y6ie9YNe83syZYCMismI+smndf4iyJRJzf+YXVtV7eJRWQ3as/s2q+uZ99bHGEZPlC69b7/drFFjJg7fYeT/1WMt/x1G+tnrfsOr9fu9iq+VbELbZ4H8bOsa7Wsl9ghfk5Vm9v/plMyby/pSZZNV95jdTqhBVWzbshcbXFvNOmTbVq3iMHUiXznTlx2OpayzYXO7Zttmo+OWPEjm2bLZoLa7f3zInDknmPHEi1ar5p06ZabO+GxNVWzbs6YUW5Tbk18/6WmiSZL/9MptW1FubnWDR+1swXO+cLi+1dEWfdZ+6HTest5rV2e7OO/iaZL+vob1bPW3adP2xab9V8HCM4RpTFmcaIqKgoCkiZZGdnY8yYMejWrRv8/Pzg5+eHbt26YezYscjOzrbbem0mIH/++Sf69OlT4bUgImLrU7BsfgRkydyqj4DEfGQ+AmJ64957BMR0pKMiyjsCUtU85R0BuTYmBJsmjKjwiEmNjoCUw8Gvxkjmy1/2foVHS2x5BKSsgKxdeM9+UNMRkMrgXzf5100n/+tmVfAISNXzcYzgGFEWZxojeAREObGZgLz22mt44oknsGfPHnh6emLr1q1YsWIF2rZti02bNtlqNdVOUFAQRowYIZkWEBBgvghdTuReA1Ldaz/uffPeKxUV8YN7LQusme9eFHMdicKuLxF93QevISGEEEKqB68BUU5sJiCNGzdGWloaAMDLywuZmZkAgA0bNuDJJ5+01WqqHdNteBcvXoyMjAxERETA09MTOTk5spdtdwGp5KLzmsiHSBlxqJhQSignhBBCSBkoINXLoEGD8PTTT9tl2TYTEC8vL/O5Yr6+vti1axcA4NSpU/Dw8LDVamqU2NhY+Pr6wt3dHYGBgUhKSrLJch0pINbKhzXioSQZoZSoF9FfJIQQQkh1oIBUL+PGjcPgwYPtsmybCUjnzp3xww8/AABCQkIwcOBAnD17FmPGjLHbj5iIjpYFxF4iYncZoYhQSmwMXxtCCFEHFBDlxGYCEh8fj6VLlwIA9u/fj4YNG0Kv18NgMGDVqlW2Wo2iotRTsBwpIBQRyoiWGm6+LoQQol4oIMqJzW/Da8r169fx22+/4cKFC/ZahfAo+SJ0R8qHPSXEriIiUEK0JCLO0nTzNSGEEHVDAalezpw5gyFDhthl2bIE5L333rMaZ4w9BMRCQio5CiLnSIitpMMRAuLMR0MoIuqArwkhhKgfCkj1cvDgQbv9lIYsAXnqqaeswl5X0IuOXAFBUfWPgpQnIdYcEXEUlBCKiDM23Xw9CCFE/VBApNmwYUOlfP7558oUEK3HFgKCIttJiGgRsad8UEKcE9FfRjX9fGr59SCEELVCAZFGr9fDxcUFer2+QiggCow9BcQaCalMRBwtI46QD61IiNZERPQXUk0+m1p+TQghRK1QQKRp2rQp1q9fX+HjBw4coIAoMbYSEBNWSUgFIlKVjNhTShwpHw6REAWJiJZkRPQXk7WfSa2/JoQQolYoINL07dsXH374YYWPHzx4EHq93i7rpoDIiK0FBEXyJcRaEbG1nIiQEC0dEaGIOBbRr4FSXxdCCFEzFBBpkpOT8f3331f4+LVr17Bz5067rJsCIiOOEpAKJcROImILOXE6EVGYjGhFSER8QYmuWamvCyGEqB0KiHJCAZERewgIimogITJPy3K2IyRaExEtyIijvpxE16nk14YQQtQOBUQ5cWoBKSkpQWRkJEaPHo2SkhKbL99eAoKiyhshkUdD1HbNiNZEhDJin8+cWhD95U4IIUqGAvJXXnzxxWqt/7XXXkN+fr7N1q9YAZk3bx4efvhheHl5wcvLC8HBwdiyZYvkObGxsWjZsiUMBgMCAwORnJwseXz58uWIj49HYmIiFi1aJHksPz8fw4cPR/PmzeHu7o5GjRqhZ8+eSElJsXob7SkgKKqhhFQhIraQETVevK4lAdGSjNiq6RZdg5JfG0IIcRYoIH/FxcUFJ06cQGFhYZUUFBTAy8sLJ0+etNn6FSsg3333HTZv3ozMzExkZmZi/PjxcHNzw5EjRwAAq1atgpubGxYuXIiMjAyEh4fD09MTp0+fNi8jLi4OCQkJWLNmDRYsWCBZfteuXfH4449j+/btyMnJQVpaGqZNm4ZNmzZZvY32FhAUVd0Y1VRC5IqIWu+kpUUJoYzU7LPljIj+8ieEEJFQQP6K6Tc+qoMmBKS81K9f33wkIygoCGFhYZLH/f39ERUVZf5/cXExwsPDERERgeLiYvP0y5cvQ6fTyb6y3xECgiIZEuKAoyFqlBEtS4iWhKQ6nyGtIroZIIQQR0IB+Ss7d+6sNvf20nKjCgG5ffs2EhIS4O7ujqNHj6KkpASurq5ITEyUPG/UqFHo1q1blcu7desW6tSpYyEm1Y2jBARF9pUQLYoIJURbMkKsQ3RzQAgh9oQCopwoWkDS09Ph6ekJV1dXeHt7Y/PmzQCAvLw86HQ67N69W/L8qVOnws/Pz6plr127FvXr14fRaMQTTzyBcePG4dChQ5XOU1xcLDknLjc312ECgiKZEqLSoyH2EhGtXhNCISHVQXSzQAghtoQCopwoWkBKSkqQlZWFvXv3IioqCvfddx+OHj1qFpCyF4zHxMSgbdu2Vi+/qKgIW7duxeTJk9GlSxe4urpi6dKlFT4/OjoaOp3OAkcJiImqmgYeDaGEUEiIvRDdQBBCSE2hgCgnihaQsunRoweGDx8u+xSsijJs2DC0aNGiwsdFHwG5l6qaBLlHQ2whIko/GkIBoZAQ+YhuKAghxFrUKiC3bt3ChAkT0LJlSxiNRrRq1QqTJ0/GnTt3ZNUhMqoSkGeeeQahoaEA7l6EPmLECMnjAQEBkovQq5tZs2ahQYMGVj/fkdeAlEdVjYHxqEtOAAAgAElEQVRoCbGHgNhaRCghlBFiW0Q3GIQQUhFqFZCYmBg0aNAAmzZtQnZ2NtasWYM6depg9uzZsuoQGcUKyLhx45CcnIzs7Gykp6dj/PjxcHFxwdatWwH8dRvexYsXIyMjAxEREfD09EROTk6Vy7548SKefvpprFixAocOHcKpU6ewevVqNGrUCEOHDrV6G0ULCIqsu7uPKAmxp4BQQpSL6AaYKA/RTQchhKBIvQLSp08fi/70pZdewuuvvy6rDpFRrIAMHToUvr6+cHd3R8OGDdGjRw+zfJgSGxtrfk5gYCCSkpKsWnZxcTGioqIQGBgIb29v1K5dG23btsXEiRNx48YNq7dRCQKCIu1KiK0EhBJCISGOQ3QDQgjRLkoTkNzcXMmp/RXdmfWTTz6Br68vMjMzAQAHDx7E/fffj6+//lpWHXXq1MHQoUMtburkiChWQNQQpQgIipR7OpZajoJQQigixPGIHjcJIdrC1gJyecnIGvUGl5eMLPemRtHR0eWur7S0FFFRUdDr9ahVqxb0ej2mTZsmqwbg7o8Rtm/fHnq9Hv7+/vjss8+Qn58ve7nWhAIiI2oSkNI8MbfptbeA8FQs9SG66SXKQ/T4SQjRBkoTEGuPgCQkJKBZs2ZISEhAeno6li9fDh8fH8TFxcmqQ6/XIz8/HwcPHsQ777wDHx8fuLu746WXXsKWLVtQWloqa/mVhQIiI0oSEBRRQhQpIQpo+JWK6KaXKA/RYyghxLlRmoBYux3NmjXD3LlzJdM+/vjjav30RHkxCYgpJSUl+Prrr9GjRw+4uLigWbNm+PDDD2Wto6JQQGREaQKCIuVKiL1FRLECQgmhhJBqI3ocJYQ4J2oVEB8fH8ybN08ybdq0aWjTpo2sOlxcXCo85So7OxsTJ05E8+bNZa2jolBAZESrAqJECVH8tSAUEYoIqTaix1NCiHOhVgEJDQ3FAw88YL4Nb2JiIu677z6MGTNGVh1lj4CUF3udhkUBkRElCgiKlC8h9hARVQgIRYQSQqqN6PGUEOI8qFVArly5gvDwcLRo0QJGoxGtW7fGhAkTUFJSIquOSZMm4fr167KWUdNQQGREqQKCIhtJiANExBYyYkv5cIiAUEQoIqTaiB5TCSHqR60C4oyhgMiIkgUEReqSkJqKiK3lw6ECQhGhhJBqIXpMJYSoGwpI+Tl+/Dji4uIwffp0zJgxA3FxcTh+/Lhd10kBkRGlCwiKHCshthIR0ThcQCgiqhEQZ6tHbYgeTwkh6oYCIk1BQQFeeOEF6PV61KtXD35+fmjTpg3q1asHFxcXhISE2G0bKSAyogYBQZENJaQaIqJWGREmHxQVxTfszlqX2hA9nhJC1AsFRJqBAwfi4YcfRmpqqsVjqamp6NixIwYNGmSXdVNAZMSZBKTaTVYNPnCi5cIp5EMj8iK6ybWHfCi5PjUhejwlhKgXCog03t7e5cqHKb/++iu8vb3tsm6nFpCSkhJERkZi9OjRsu8UUF7UIiAospOE1FBElCokwuWAQqLIBl1LtaoB0WMpIUS9UECk8fb2RlpaWoWPp6amalNAzp49iwEDBsDHxwceHh545JFHsG/fPvPjsbGxaNmyJQwGAwIDA5GcnCyZf/ny5YiPj0diYiIWLVokeSw/Px/Dhw9H8+bN4e7ujkaNGqFnz55ISUmxevvUJCAoqp6E1KjxktkMUzwoIkpsyrVat1IRPY4SQtQLBUSa119/HR07dsTevXstHtu7dy86deqEgQMH2mXdihWQS5cuwdfXF4MHD0ZaWhqys7Px008/4cSJEwCAVatWwc3NDQsXLkRGRgbCw8Ph6emJ06dPm5cRFxeHhIQErFmzBgsWLJAsv2vXrnj88cexfft25OTkIC0tDdOmTcOmTZus3ka1CQiKqi8hshowGzbIlA5tSYjoJleEfCj1NVAaosdQQoh6oYBIc/nyZfzzn/+EXq9H/fr10bZtW/j7+6N+/fpwcXFB7969cfnyZbusW7ECMnbsWHTt2rXCx4OCghAWFiaZ5u/vj6ioKPP/i4uLER4ejoiICBQXF5unX758GTqdDjt37pS1jWoUEBNCGjIHN9QUDvVKiOgmVwkCosTXQwmIHjsJIeqFAlJ+fv/9dyxZsgTTpk3DtGnTsGTJEvz+++92XadiBSQgIAARERF4+eWX0bBhQ3Tq1Ml8FKOkpASurq5ITEyUzDNq1Ch069atymXfunULderUsRCT6kbNAoKimkuITZsz0Q03UZyEiG5wlSggSn19KCCEEDVBAVFOFCsgBoMBBoMB48aNw/79+/Hll1/CaDRi2bJlyMvLg06nw+7duyXzTJ06FX5+flYtf+3atahfvz6MRiOeeOIJjBs3DocOHap0nuLiYhQWFprJzc1VtYCYUFSjJrr5JsIlRHSDq3QBUeprRQEhhCgdCkjFOXbsGEaOHIlnnnkGPXr0wMiRI+16FESxAuLm5oYuXbpIpr377rsIDg42C0jZC8ZjYmLQtm1bq9dRVFSErVu3YvLkyejSpQtcXV2xdOnSCp8fHR0NnU5ngdoFxIQimzbRjbiWYWMtXDDU+JpRQAghSoUCUn7WrFmDWrVqITg4GO+99x7ee+89dOnSBbVq1cLq1avtsk7FCkiLFi0wbNgwybR58+ahadOmsk/BqijDhg1DixYtKnzcWY+AlEXxTZzoxlxraLiZFi0Van7tKCCEEKVBASk/rVq1wocffmgx/aOPPkKrVq3ssk7FCkj//v0tLkKPiIgwHxUJCgrCiBEjJI8HBARILkKvbmbNmoUGDRpY/Xy1XwNSFapq6kQ36c6ORpto0TLhLK8j5YMQogQoIOXHw8MDWVlZFtOPHz8ODw8Pu6xTsQKyZ88e1KpVC1OnTkVWVhZWrlyJ2rVrIz4+HsBft+FdvHgxMjIyEBERAU9PT+Tk5FS57IsXL+Lpp5/GihUrcOjQIZw6dQqrV69Go0aNMHToUKu30dkFxIQqGzzRDbuzorHGWbRAONvrSQEhhIiEAlJ+evfujSVLllhMX7JkCXr27GmXdSpWQABg48aN6NChAwwGA/z9/S1+yyM2Nha+vr5wd3dHYGAgkpKSrFpucXExoqKiEBgYCG9vb9SuXRtt27bFxIkTcePGDau3TysCgiL7SgiFRIVopGkWLQ7O+JpSQgghoqCA/JUNGzaYmT9/Pho2bIiRI0dixYoVWLFiBUaOHIn7778f8+fPt8v6FS0gSo+WBMSEUzR/opt3Z0EDzbJoYXDm15YCQghxNBSQv6LX663CxcXFLuungMiIFgXEhFM0gqIbeGfBSRtl0ZJAEaGEEEJsCwVEOaGAyIiWBQRFjpcQiojCcbImWbQcUEYoIIQQ20IBkZcOHTrgzJkzNlkWBURGtC4gJpyiORTdvDsTTtIcixYCigglhBBiWygg8lKnTh2cPHnSJsuigMgIBeQuIpsQioiCUXlTLFoElIBoyaCEEEJsCQVEXiggCgkF5C+cSkIoIooUEad4X6kU0aJBASGE2AIKiLxQQBQSCogUSghxJgkR3fQrEdHCQQkhhMiBAiIvFBCFhAIiRXQjYpemUXTj7kyoqAEW3egrHdGfcwoIIaQmUEDkhQKikFBApIhuRCghKkAlza/oBl8tiP6sU0IIIdWBAiIvFBCFhAIiRXQTYrcGUnTT7myooOkV3dirCdGfdQoIIcRaKCDl5/r161Y9b+XKlbh27ZpN1kkBkREKiCWiGxG7NZCim3ZnQgUNr+imXm2I/ryLHvcIIeqAAlJ+3Nzc0KVLF4wbNw4//PCDzSSjslBAZIQCYonoRsRuTaTopt2ZUEGzK7qhVyMUEEKI0lGzgJw9exYDBgyAj48PPDw88Mgjj2Dfvn2y6jAlJSUFn3zyCXr16gUvLy+4ubnh8ccfx9ixY7FlyxabrKNsKCAyQgGxRLR0UEJUgsKbXdHNvBqhgBBClI5aBeTSpUvw9fXF4MGDkZaWhuzsbPz00084ceKErDrKy+3bt/Hrr78iNDQUtWrVgouLi83XAVBAZIUCYolo4aCAqASFN7uim3k1QgEhhCgdtQrI2LFj0bVrV1nbXFV+//13zJ8/H6+++ioaN26MBg0a4MUXX8Ts2bPtsj4KiIxQQCwRLRwUEJWg8GZXdDOvRkR/1kWPfYQQ5aNWAQkICEBERARefvllNGzYEJ06dcKCBQtk1XBvGjVqBB8fH7z88suYO3cu0tPTbbbsikIBkREKiCWimxC7NZKiG3ZnQ+HNruhmXo2I/qyLHvsIIcpHaQKSm5uLwsJCM8XFxeWuz2AwwGAwYNy4cdi/fz++/PJLGI1GLFu2TFYdpjzyyCNwd3dHUFAQxowZgy1btuDq1as2WXZFoYDISEFBwd030Il0FOZnk/xsFBz7QVFcTpplG5aMJLZE5v5QzftGQ4j+rIse+wghyif3RDp0Oh0KCgpk9X9mAUmaVaM/2FxOmgWdTmdBdHR0uesz3aXq3rz77rsIDg6WVce9uXz5MjZs2IDIyEg8+uijMBqNCAoKwtixY222jntDAZGR3Nzcct9AhBBCCCFEmeTm5srq/2wlINYeAWnRogWGDRsmmTZv3jw0bdpUVh3l5X//+x/WrVuHQYMG8SJ0pebOnTvIzc1FQUGB5A3kTJgkq+yHRCtouX4t167l+rVaN+vXdu1arl9LdRcUFCA3Nxd37tyR1f8VFtpGQAoLrTsVrH///hYXoUdERFgcFalpEhMTMWrUKHTs2BGurq64//778a9//Qtz5szBkSNHbLKOsqGAMJXG9CGz9kPibNFy/VquHdBu/Vqt2xQt16/l2gHt1q/VuuXE0QKyZ88e1KpVC1OnTkVWVhZWrlyJ2rVrIz4+3ib1NGzY0Cwchw8ftskyqwoFhKk0Wh+YtFy/lmsHtFu/Vus2Rcv1a7l2QLv1a7VuOXG0gADAxo0b0aFDBxgMBvj7+9v0LlgiQgFhKo3WByYt16/l2gHt1q/Vuk3Rcv1arh3Qbv1arVtORAiIPfPbb79Jbr377bffIiQkBOPGjUNJSYld1kkBYSpNcXExoqOjK7wwytmj5fq1XDug3fq1WrcpWq5fy7UD2q1fq3XLibMJSOfOnbF27VoAwMmTJ2E0GtG/f3889NBDCA8Pt8s6KSAMwzAMwzAMY2WcTUDq1q2LEydOAACmT5+Onj17AgB27dqFZs2a2WWdFBCGYRiGYRiGsTLOJiBeXl44fvw4AODZZ5/F7NmzAQCnT5+G0Wi0yzopIAzDMAzDMAxjZZxNQJ5++mkMGjQIy5cvh5ubG7KysgAAO3fuhK+vr13WSQFhGIZhGIZhGCvjbAJy8OBBdOjQAXXr1sWkSZPM09955x3079/fLuukgDAMwzAMwzCMlXE2AakoRUVFuHXrll2WTQFhcPr0aSxatAhjx47F0aNHRW+Ow3P16lXcvn1b9GYIiZb3fUFBgd1uL6j05OTkYNGiRRg+fDhSU1MBAKWlpYK3ynHhvtfmvudYr82x3h5xNgFp1aoVLl68aDH98uXLaNWqlV3WSQHRWEpLS3Hz5k3Ex8fjX//6F3x8fGA0GqHX69GgQQPk5uaK3kSHJCsrC+PHj0ejRo3QrVs3TdTNfQ9kZ2fjo48+QvPmzdGhQwfs2bMHgPM3YLdu3cLq1avRr18/NGjQAEajEXXq1IGrqyvS0tJEb55Dwn2vzX3PsV6bY72942wCotfrkZ+fbzH9jz/+gJubm13WSQHRSO79kt22bRtatWqFsLAwfP/997h+/TqWLFliN8tVQu6t/9q1a5g1axb69OmDN998E15eXti/f7/ArbNvtLzv7z10fOvWLcTFxeEf//gHRowYgRYtWiAxMVHg1tk399aempqK4OBgDB8+HFu2bMHNmzexdetW+Pj44M6dOwK30n7hvr8bre17jvV3o7Wx3tFxFgHZsGEDNmzYAL1ej+XLl5v/v2HDBiQmJmLkyJHw8/Ozy7opIE6aGzduYO7cuQgKCkLXrl0xc+ZM8xu9vL/4DRw4ED169MD169cdval2SXn1X7lyBQBw+/Zt7Nq1C2lpabh9+zbc3d2xZMkSwVtsu2h535eUlGDhwoV47LHH0KlTJ0RFReHs2bMA7tZ++PBh7Nq1Czdv3oSfnx8mT56MmzdvCt5q26Sq2svmo48+Qrt27XDp0iVHb6pdwn2vzX3PsV6bY73oOIuA6PV66PV6uLi4mP9twt3dHX5+fti4caNd1k0BcdIsXboUAQEBmDx5MubOnYs6dergzTffNL/Z79y5g9LSUvNfyp566ikMGzZM5CbbNBXVX1BQYPHc4OBgDBo0CDdu3BCwpbaPlvf9xo0b0bZtW0RHR2PlypVo3rw5evTogf/9738Wz33llVfw4osvIi8vD4D6T8WpqvbS0lLJfn/11VfxwgsvOM37nvtem/ueY702x3rRcRYBMaVly5a4cOGCQ9dJAXHC3L59G02bNsXEiRPN0zZs2IBWrVrhq6++Mj/HlMLCQjz77LPmgUnth+Wtrd90Eer06dPRunVr818M1Ryt7/uAgAC89dZb5v/v378frVu3xpQpU8zTTPt94cKFaNeuHX799VcA6m9Cran93gwYMADPPfccADjFhbnc99rb9xzrtTvWi46zCUhlY6C9jphRQFSUtLQ0rFu3rty/7NybPXv2ICAgAOvXrzdPu379OgYPHozg4GCL5//5558ICAjAZ599ZvNttmWOHz+ODz/8ELt37670edbWbxqAjx07Br1ej+TkZPtsuA1i69pNUcO+/+WXX/D2229jzJgxlQ7WZ86cQUBAAObPnw/grwF1woQJ8Pf3N5+WYdrvp06dQtOmTbFs2TI7V1Dz2Lp20/SCggI8/fTTCAsLs3MF8pKSkoKoqCgMGTKk3AskTXHGfW/r2tW075OTkxEVFYUOHTpg9erVFT7PGcd6W9duihrGejXF2QSke/fu5d6cIDU1FW3atLHLOikgCk9KSgpeeeUV1K9fHw888AAeeeQRPPnkk9iwYQMA6V84TIdZ9+zZg44dO2LFihWSZSUmJsJgMODy5cuS6devX4fRaMTmzZvtXE3NYqrrjTfegF6vR0RERKXPq079pi9lb29vzJo1S3F/CbVn7YBy9/2PP/6I7t27w93dHQ0aNMAzzzyDjRs3lvvXWtO0Y8eOoXv37oiJiQHwV9Oxf/9+uLq64uDBg+Z5TPu5U6dOeP/99xV1Soa9azflvvvuw8KFC+1YSc1z9epVDBkyBI0aNULfvn0xfvx4/P777xbPc7Z9D9i3dlOUtu9v3ryJefPmoUOHDjAYDPDx8UFQUBD0er15O+V+1yl1rHdE7YByx3q1xtkEpG/fvqhfvz4SEhIA3B1HoqOj4e7ujtGjR9tlnRQQBeXixYtYu3YtDhw4YJ62cuVKDBgwAKmpqbh16xYOHDiAkJAQBAUFAbg7GJX9kZgbN27goYcewvTp0yWDbGZmJtzd3c2nHZi+qFJSUtC8eXPzhUaiBuay9d+7HQcOHMD//d//4bXXXkOHDh1QVFRkfqym9ZeWlpoH9r59+6Jfv364dOkS/vzzT5w/f95iG+wZR9eupH1f3vt+ypQp8PDwwDfffFPhfGUb8uLiYvTo0QNhYWGS0wuKiorg7e0tWZZp3hEjRqB3797IysrChQsXkJOTA0DcfgfsW7uprpycHLRo0cJ8Qa6o0zHK1m+qKyYmBn/729/M12gA0n3ijPve3rUrad+bajfdkery5cv46KOPEB0djfT0dABARkYG/Pz88O2335q335nGekfVrqSx3pnibAICAPPnz4enpyf69++PLl264IEHHsC2bdvstj4KiAKSlpaGxx9/HLVr10ZAQADmzp1rfqygoACnT5+WPD8yMhKdO3e2WM7BgwcRFxcHAOjXrx/+/e9/S851PXXqFNq1a2c+VG+6A8zGjRvRpEkTHDp0yOa1WZPK6jdl5cqV6NOnDzIzM+Hi4oLMzEyL51S3/jt37pi/lN5//33o9Xo89NBDaNCgAWbNmmWPUi0iqnYl7PvKat+3bx/atGmDn3/+Gfn5+Vi3bh1++eWXcpdz8OBB/Pe//8WtW7cQGRmJZ599FseOHTM/XlRUhL/97W/m8+Fv375tZvLkydDr9WjevDlq166NyMhI+xb9/yOqdtO58Lt27UKrVq3sdneTqlJZ/X/++Se6dOmCVatWoaCgAIsWLcLs2bPxxx9/WCzH2fa9PWtXwr4vW/ucOXMqfO6ePXug1+slImaKM4z1jqpdCWO9M8YZBQQAoqKioNfr4ebmVuUp33JDARGQe//y8Mcff6BXr16IjIzEmTNnAKDC830vXLiA+fPnIygoyPwLtsDdc31dXV3h4+OD0NBQ3Lp1C4sWLUJgYKDkHNLt27ejRYsW+OmnnyTLjYuLQ/369R12KkJN6u/YsSOSkpJw48YNeHt7S04fqG79JqMvLS3Fjz/+CFdXVxgMBvTu3RvTp0+366/Eiq5d5L6vbu0tWrRAkyZN0LBhQzz++ON48MEH8corr+DUqVMAgFmzZqFu3bpo0KABQkJCcOnSJWzatAmdO3fG7Nmzzcs5ePAgHnroIcnrduDAAej1ehiNRvTq1QszZ85U1H63V+2m7di+fTs8PT3Nf/W3d6qq/88//zQ/fuXKFbi6umLVqlXo2rUrunTpgr///e+4//77zb/d8cUXX8DLy8sp9r2jahex76tTe9msWLECzZo1w8mTJ83TJk6c6DRjvb1rF/097+xxNgG5dOkSXnrpJXh7e2PBggUYMGAAPD09ERsba7d1UkDsnAsXLmDOnDno3bs33nnnHYsfQVqzZg3at29vPq3m4MGD5V5kvnnzZgQEBKB58+Z45JFHEBQUhHnz5gG4e5HQjz/+KHkjnzt3DoMHD0bjxo2xY8cO5OXl4Z133sGTTz6Jq1evSpZd9v+2jC3q3759O3r06GH+K89LL72EQYMGIT8/H9evX8fhw4fx/fff16j+3Nxcu1m+0msH7Lfv5dRu+uKeNGkSPv74Y2RnZ+PixYtYsWIF/P398dprrwEA0tPTsWPHDknthYWFiIqKQu3atfHNN98gLy8PEyZMQKdOnSS3GLx+/boi97sjagcsT91TSv0AcPr0afj5+cHDwwOTJ0/GnTt3UFBQgKFDh6JTp07IysrCqVOn8PPPPzvVvndE7YD99r2tvutMpwxNmDABjz32mOQoQFpaGrZu3eqUYz1gv9oB+37PazHOJiBNmzbFk08+af4jFwCsWrUKPj4+5jvm2ToUEDvm2rVrCAkJQdeuXTFx4kQMHToUnp6e2LJli/lwcJ8+fRAeHo4vvvgCDzzwAFq1aoWuXbviiy++kCyroKAA+fn5KC0txblz5/Dpp5/C29sbJ06cqHD9ly9fxr/+9S+0b98eHh4eaN++PZKSkuxa872xVf0TJ07EpEmTANwVsS5dukCv18Pb29vidbo3Iutn7fJrz8/Pt/jSXL58OXx8fCq9K9CdO3cQFhaGjh07onbt2njooYfM51LbO1quHZBXv+mv93/88QdCQkLQsGFDyV+o09PT0aFDByxevLjC9at132u59rLj2L138Wrfvj2Aqm8V7AzjHaC+2rUcZxOQKVOmlHs9WG5uLp599lm7rJMCYoPs2rULUVFR2Lx5s+Sw64QJE9CuXTtkZGSYpw0bNgydO3fGnj17zP9v0KAB+vbti82bNyMrKwuRkZFo2rQp4uPjAZR/keDNmzfh4uJS4bnhpty5cwf79+8v91xSW8Ue9Tdp0gTffPMNSkpK0LVrV/OvcjZu3Bg9e/aEXq/HunXrqryA0t71s3b7ve/Lu0hy//790Ov15d4usGwyMjJw7tw5uWWWGy3XDtjvfW+6A8u0adNQp04dyXIAoHHjxubnVBa17Xst117e+/7mzZsYMGAAevXqZfW2Oct4p8TaGcs4m4CICAVERs6fP4+wsDAEBARAr9dj6NChkh9s+fe//41XXnkFwF+HP7/55hu4uLhgxowZAICvvvrKPO+96devH1577bVy//pRWlqKTz75BHXr1jXfNUNEHFE/AMyZMwexsbHYt2+feTmtW7fGzJkz7V5jRWHtjn/fl5SU4NVXX0VAQICwHxLTcu2A4+o/d+4cDAYDpkyZYr6d6JYtW1C3bl27XxhZUVi7Y973pj+sdOzYEePHj7d7bVVFy7UzFccZBSQ5ORkDBgxAcHCw+Xtm+fLlVf6hu6ahgMjIxYsXERMTg127dmHixIkWzcGnn36Kpk2bSu5i9d5776F+/fp4/vnnAdz9q6abmxs+++wzyV9VIiMj0adPH+Tn56O4uBhJSUnYsWMHNm/ejLfffhuBgYHmO2GIvG2uveuv6EK9vn374qmnnmLtAuLI9/327dvx888/Y8uWLXjzzTfx2GOP4fvvvwcg7pbBWq0dcEz9pr/izpgxA82bN8dLL72Ed955B23atKnwl70dEdZu//c9cPe9fePGDbRt2xbjxo0DIPbX2rVcO1NxnE1A1q5dCw8PD7zxxhswGAzmGyDExsaid+/edlknBURGSktLzReVHTt2DC4uLpK/UF26dAktW7bEo48+itdffx2tWrXC008/jddffx1PPfUUsrOzAQCPPfYYXnjhBfP9yAGgZ8+eCAkJAXD3+o+5c+fiwQcfRPPmzfHKK6/gxx9/FD4w2bv+fv36mddTNnl5ebh27Zodq6s8rN3+7/vLly/js88+Q9OmTfHAAw/g1VdfxY4dO1BaWiqsAddy7YDj3vfA3cZrz549eOutt9C/f3+sXbvWfCtZEWHt9q/d9J12+PBh9O7dG+vWrXNQhRVHy7UzFcfZBKRTp05YtmwZAKBOnTpmATlw4AAaNWpkl3VSQGwQU0Pg5eWF//73v5Jz88+cOYPo6GgMHjzYfNeqmTNn4m9/+5v5dnyJiYnw8/NDr169kJqaimnTpqFLly74+eefzbEU73AAACAASURBVMu5cOFCufeCV0IcUb9Sw9rtW3t+fr7kC1sp0XLtAN/3AGtn7dqpnbGMswmIh4eHWZbvFZCTJ0/CYDDYZZ0UEBvEdFvD3r17o1+/fubzQCv6S+X777+P4OBg8/9v376NpKQkvPzyy3jggQcQGBiIpUuXCvt14upGy/WzdtautdoBbdfP2lm71mpnLONsAtK6dWvz7+bcKyDLli1DQECAXdZJAbFBTIdOv/rqKzRu3FhyH2UAKC4uNh8+37JlC5o2bWo+1HVvrly5IvT0ippGy/WzdtautdoBbdfP2lm71mpnLONsAjJjxgy0a9cOqamp8PLywi+//IL4+Hg0bNgQc+bMscs6KSA2zPnz56HX680Wacrq1avx3nvv4fHHH0ejRo0wduxYi3mdYUDScv2snbXfGy3UDmi7ftbO2u+NFmpn/opIAZk2bRp0Oh3Cw8NtWtP48ePh4eEBvV4PvV4Po9GIiRMn2nQd94YCYuM0a9YMb775JqZMmYKwsDDk5eVh//79GDVqFGbMmIHjx4+L3kS7Rsv1s3bWrrXaAW3Xz9pZu9ZqZ+5GlIDs2bMHLVu2RMeOHW0uIABw/fp17N27F2lpaRY/hmvrUEBskNLSUqxfvx4vv/wy9Ho9XF1d8eCDD2LSpEm4dOmS6M2ze7RcP2tn7VqrHdB2/aydtWutdsYyIgTk6tWraNOmDbZt24bu3bvbRUAcGQqIDXL79m1MmTIFffv2xaZNm3Dz5k3Rm+TQaLl+1s7atVY7oO36WTtr11rtjGVECMigQYMQEREBABQQhmEYhmEYhtFSbCUgubm5KCwsNFNcXFzu+hISEtChQwfzb9JQQBiGYRiGYRhGQzEJSMGxH1Ca90u1KTj2A3Q6nQXR0dEW6zpz5gzuv/9+HDx40DyNAsIwDMMwDMMwGoqtBMSaIyDr16+HTqeDq6urGZ1OZ74WyXSLaLWFAsIwDMMwDMMwVsZWAmLNNSBXrlzB4cOHJXTu3Bmvv/46Dh8+7IBq7RMKCMMwDMMwDMNYGUcKSHnhKVgMwzAMwzAMo6FQQOSHAsIwDMMwDMMwVka0gDhDKCAMwzAMwzAMY2UoIPJDAWEYhmEYhmEYK0MBkR8KCMMwDMMwDMNYGQqI/FBAGIZhGIZhGMbKUEDkhwLCMAzDMAzDMFaGAiI/FBCGYRiGYRiGsTIUEPmhgDAMwzAMwzCMlaGAyA8FhGEYhmEYhmGsDAVEfiggDMMwDMMwDGNlKCDyQwFhGIZhGIZhGCtDAZEfCgjDMAzDMAzDWBkKiPxQQBiGYRiGYRjGylBA5IcCwjAMwzAMwzBWhgIiPxQQGblz5w5yc3NRUFCAwsJCQgghhBCiUAoKCpCbm4s7d+7I6v8KCykgckMBkZHc3FzodDpCCCGEEKIScnNzZfV/FBD5oYDISEFBwd038ol0FOZna46CYz84HZeTZlWfJSMr5Vz4c4rg0JP+NcJW66/qddIENXl/lfceq+lyVERNP8NqGb9Ej9+EaJHcE+l3xaGgQFb/RwGRHwqIjJjegIX52UDRRc1Rkw+d0rnz27zqsyqyUq6NCVEEp7q3rxG2Wn9Vr5MmqMn7q7z3WE2XoyJq+hlWy/glevwmRIsU5mfbpPGngMgPBURGKCDihYECQgFRFRQQCggFhBBhUECUEwqIjFBAxAsDBYQCoiooIBQQCgghwqCAKCcUEBmhgIgXBgoIBURVUEAoIBQQQoRBAVFOKCAyQgERLwwUEAqIqqCAUEAoIIQIgwKinFBAZIQCIl4YKCD2lxBbrl+4AIiGAkIBoYAQheLbojk+/zRG+Hag6CKWLpgDb++6Nl8uBUQ5oYDIiLUCMvnDsQjw98Od639a9QG5eeU8WrdqqZiBoDJEf4kLlw8rBERJEkIBUaGA2FpmVIKzCwglhDiSHT9+K/kdjPvua4B/9uyBg2k7zc/588wxXP/fGZuuN/T1VxHyfO9qz0cBcf5QQGTEGgHJO3kYnp6eWLNySbU+JHEL56J+/Xq4ePa48IHLWkR/mTtUOqohH2oWEMqHIAlxhNgoGEc09aLHHgoJcSQmAclMT8X57KNIS96Kxx97FI0b34+CP07Zbb0UEApIRaGAyIg1AjIm8l080LSJ1Uc/TJQUnoOPT31MnTxB+MBVE0R/kdtFNmQ2iaLloyYSQgFxoIg4UnAUjKgmXvT4RCkh9sQkIJfPnzRP2/XzZuh0Ovzw3WqgyPIULJ1Oh4XzPke/vs/Bw8MDDz3YChvWrDA/fvtaPoaGDkBL3xYwGo3wa/MgZs+can48esIHFr9AvuPHb8vdlgOpO6DT6ZB9bD9Q9JeArP9mOdo81BoGgwHPPtMdZ44fktQ177+fonWrlnBzc4NfmwexfPG8Sl8HCohyQgGRkaoEpKTwHBo08MEH770jmV5ckIfJH46Ff9s2MBgM8PGpj6e6PYnd27dInjdi+BD4tmiO0hsXhA9eNUX0l7cSxEOtEqJI+bDx/lALNX49FSAUjhIPezfsIuVG9DhO1E95Tf9vKT9Dp9Nh47qVQFH5AtLsgab4Ou4rZB3Zg1FvD0edOp74X14WUHT3dPGPxr+PPb9sxanff0P8kvmoXbs2vlmxCCi6iKsXcvDKv0Lwz549cD77KM5nH0VJ4TmrBcTNzQ2dAzshZcf32Lf7JwR1DsQTwUHmeRJXLYObmxtiZ3+KzPRUzJo+Ba6urtj+w/oKXwcKiHJCAZGRqgQkedtG6HQ6bPl2lXnarat/4OnuXVGrVi28HzESW75dhe/WxmP8mPeQsGyBZP5vViyCTqdD+t5k4YOXHJxCPOzYTCpRQmy9LptLh4P3mVLEQ9brqgDJsKd4KL1Rd+baiPIp2/RfPHscLzz/T3h51UH+6d+BovIFZGLUaPP/r108Db1ej+83fFPhet5+ayj+1a+v+f/lnYJlrYDodDqkJv1ofs7vB3+FTqdDWvJWoOginggOwptDB0qW/X8vheC5fz5b4fZRQJQTCoiMVCUgM2I+gk6nwx85GeZpyxfPMx/WrGrAyDqyBzqdDvO/mCl88JKLKuVDYGMpWkJULx9OJCQ2f20VIB32kA81NOnOWBNRB6am39PTE56entDpdGjzUGvz6VcoKl9AVscvliynbl0vLFsUa/7//C9m4tHAR3DffQ3g6ekJNzc3PPbo38yPyxGQWrVq4fa1fMm89ep5I27hXKDoIurXr2f+t4nZM6eiVUvfCl8HtQrItGnT0LlzZ9SpUwcNGzZESEgIjh07JqsG0aGAyEhVAhI+8i3o9XrJB6j/Ky/BaDRadU2I6YNy718g1Iiq5EMhjaVIAVHM0Q97Nr8KEAtzjTV8n8herwLQmoBYOx6K3kbifJia/v2/bseJo3vL7VvKE5D13yyXPMfbuy6WLpgDFN09S8NoNCJ29qfY/+t2ZB3Zg+HDBuGRjh3Mzy9PQJK2fQedTodL506Yp+35ZWu5AlK2V6pXz9ssQPXr15PIEIou4vNPY9C6VcsKXwe1CkivXr2wdOlSHDlyBAcPHkSfPn3QokULXLt2TVYdIkMBkZGqBGT4sEFwd3eXTHv2me6VfjjupaTwHHQ6HUaHvy188JKDKuRDcCPqrALiDE2yw7DyPWJT+XEyAVFL867W7SbqpbyjDmWproC8E/YGnnnq75LHezzdTSIgbw4diOef6yl5TsaBFOh0Ohzdv9s8bUHsf8o9Bct0uhWKLuLYIetOwerT+x8V1qhWASmbP//8EzqdDklJSbLqEBmnFZCSkhJERkZi9OjRKCkpscs6qhKQ8WPeg06nw7WLp83TqnME5Hz2Ueh0Onwy5UPhg1dN0bJ8yGnIRUmIYuRDQU2ykiTE5oiu1w4SInrMI0SJ2ENAZs+cirp1vfDDd6uRmZ6KiVGjUbeul0RApk6egBbNm+HYoV9xITcTN6+cx80r59G82QP4v5dCkJmeik2JX6Ot30PlXoQe1DkQqUk/4reUn9Hl8ccQHNTZvOz13yyHm5sb5n8xE8cPp5kvQt/x47cV1ugsApKVlQWdTofDhw/LqkNkFCsgZ8+exYABA+Dj4wMPDw888sgj2Ldvn/nx2NhYtGzZEgaDAYGBgUhOTpbMv3z5csTHxyMxMRGLFi2SPBYaGnq3sf/kE8n09evXQ6ez/iWpSkBM13sc2pNkMW3xl/+tcsDYvX0LdDqd5LZ3asKR8lFjAXGQeFS3SRd1RERR8qHQhrlG7ycKiEPkgwJCSPnYQ0CKC/IweGB/eHvXRb163hgxfAii3g+XCMifZ47hHz2eQp06nubb8KLo7i2AH+7QDkajEX9/MhhrVi4p9za86xLi0LpVS7i7u+OZp/6OnGMHJNuj9tvw5ubmorCw0ExxcXGV6y4tLUXfvn3RtWtXWTWIjiIF5NKlS/D19cXgwYORlpaG7Oxs/PTTTzhx4gQAYNWqVXBzc8PChQuRkZGB8PBweHp64vTp0+ZlxMXFISEhAWvWrMGCBQskyw8NDYXRaES9evVw6dIl83RbC8iZ44eg0+nw1dxZ5mmmu2C5ublhTOS7+H7DN9i8PgEfjX/f4i5YJpuvbMBQKqqQDzs0fHIbdtHioGj5ENl823vdangNnExAKDKEaA9bC0hlvwNnzXaUJTo6usp1v/322/D19UVubq6sGkRHkQIyduzYSs0uKCgIYWFhkmn+/v6Iiooy/7+4uBjh4eGIiIiwMMrQ0FA8//zz8Pf3xwcffGCebmsBQdFF/P3JYItbwhVdPouPxr+PNg+1hru7Oxo08MEzT/0dKTu+t5i3b59ewj+wNUFr8iG66VcKwqWCqEZA7Dkm2HNMEj22EkJqjtIEpLpHQN555x00a9YMp06dkrX9SogiBSQgIAARERF4+eWX0bBhQ3Tq1Ml8FKOkpASurq5ITEyUzDNq1Ch069bNquWHhoYiJCQEiYmJMBqNZou0h4Cs/XopXF1dcfbE4Wq9OU8c3Qu9Xo+tm9YK/8DWBAqIdhDeRJOa4aTy4ShEj7GEkOqjNAGxdjtKS0sxcuRING3aFMePH5e17UqJIgXEYDDAYDBg3Lhx2L9/P7788ksYjUYsW7YMeXl50Ol02L17t2SeqVOnws/Pz6rlmwQEAIKDgzF06FAAVQtIcXGxxFRzc3OrfAOW3riA4KDOGPnWsGq9OQcP7I9nn+ku/MMqB60IiGgBoGCQakPxoIQQokHUKiAjRoyAt7c3du7cifPnz5u5ceOGrDpERpEC4ubmhi5dukimvfvuuwgODjYLSEpKiuTxmJgYtG3b1qrl3ysgSUlJcHV1xdGjR6sUkOjo6HLP2avqDXh43y+YOnmCVXe+QtHd60Q+jh6HzPRU4R9WuVBA1InwBtnZsePRuGqtl+JBASFEQ6hVQMrrPXU6HZYuXSqrDpFRpIC0aNECw4YNk0ybN28emjZtatNTsEx57rnnEBISYpcjIOQuihMQGzV0okXBqaTDlk2v6FpqUp9aXluNSwcFhBD1olYBccYoUkD69+9vcRF6RESE+ahIUFAQRowYIXk8ICBAchF6ZSkrIOnp6XBxccEHH3xg82tAyF3s3QhQQBQiEoL+wq5YGRG5rZQOCgghDqTo8lmEvv4qOrQPgKurq8UvoJuY+/kM+LdtA6PRCL82D1r8mvnNK+cx+cOxaN3q7k8tdHy4Pb7f8I3kOUnbvsPzz/VEk8aNyr1dcEVQQJQTRQrInj17UKtWLUydOhVZWVlYuXIlateujfj4eAB/3YZ38eLFyMjIQEREBDw9PZGTk2PV8ssKCAAMHDgQRqORAmInFCcgNmr2RMuGYuRDtGQoUT6q85o5wX4QLQOUD0LEcu3iaYS9ORgLYv+DXv94plwBmfffT+HlVQerli/EyYx9SFi2AHXqeOK7tfHm54yJfBdNmzTG5vUJOJmxD/P++ymMRiP2/7rd/Jwt367ChLGRWJcQRwFRaRQpIACwceNGdOjQAQaDAf7+/ha/5REbGwtfX1+4u7sjMDCwWj9HX56A5OTkwGAwUEDsgCOaAQqIAAERLRdqlg8n2xeiZYACQoiyCH391XIFpMvjj+H9iJGSaeEj38KTXR43/79J40aY+/kMyXNCnu+NAa++XO66KCDqjGIFRA2hgFgHBcSJBES0VFBAFLcfRIsA5YMQ5VGRgAT+rSMmRo2WTIt6Pxxubm64eeU8UHQRPj71sWj+bMlzXv2/F+Hbonm566KAqDMUEBmhgFSNI5sCkQ2qaPGgfGhARES/jpQP4eMpIWqhIgEZ90EEGje+H/t2/4TSGxewd9c23H9/Q+h0Opw7dQQouoj+r7yEdgFtcfxwGu5c/xNbN62Fh4cH3N3dy10XBUSdoYDICAWkchzdHCilOaV8KBDR8uBEr7toCaB4EKJ8KhKQG5dyMWTQa6hVqxZcXV3RtEljjIl8FzqdDvmnfweKLuLPM8cQ8nxvuLi4wNXVFX5tHsTbbw2Fh4dHueuigKgzFBAZoYCUj8hGQSnNqdOIh4IbYSXsZy295qIlgOJBiHqoSEBM3LxyHrlZ6bh9Ld98YXrZ30orunwWZ08cRumNCxgT+S7aBbQtd1kUEHWGAiIjFBApopsFWRJixwZVtdKh0EZYEyIi+jXSsHRQPAiRT1UCci/dunZB/1deqvDxm1fO48HWrTDug4hyH6eAqDMUEBmhgPyF6IbBJgKipgZVY42wJmRE9GuhcemgeBAin6P7d+NA6g707dMLT3V7EgdSd+BA6g7z45npqVixZB6OH05DWvJW/PvlfvDxqY/sY/vNz0lN+hHrEuJwMmMfkrdtxDNP/R2tWvri8vmT5udcvZBjXrZOp8N/ZnyMA6k7cDrzYKXbRwFRTiggMkIBuYvopsEuEqLEBlWjDbEicPLXSPTnVQmIHkcJcQZ8WzSHTqezwPR4xoEUdHrkYXh4eKBuXS+EPN8bxw79KlnGzq0bEODvB4PBgAYNfDDwtVeQd/Kw5Dk7fvy23PWEvv5qpdtHAVFOKCAyQgG5i+jGwa4CYm0j6iwooBkmjkP051QJiB4/CSGOgwKinFBAZIQCchfRDYRDBaQiRIsDpYNUA9GfTyUgetwkhDgeCohyQgGREQrIXUQ3EooQkKoQLRkUD/KbtsVD9DhJCBEPBUQ5oYDICAXkLqIbC9VIiBwoGqpCSe9b0Z9DR8kChYMQUhUUEOXEaQWkpKQEkZGRGD16NEpKSuyyDgrIXUQ3K5qREKI4RL+/1Yjo8YoQol0oIMqJIgVk3rx5ePjhh+Hl5QUvLy8EBwdjy5YtkufExsaiZcuWMBgMCAwMRHJysuTx5cuXIz4+HomJiVi0aJHksdDQUOh0OnzyySeS6evXr797twYrQwG5i+iGhvJBHI3o97bSET0mEUJIeVBAlBNFCsh3332HzZs3IzMzE5mZmRg/fjzc3Nxw5MgRAMCqVavg5uaGhQsXIiMjA+Hh4fD09MTp06fNy4iLi0NCQgLWrFmDBQsWSJYfGhoKo9GIevXq4dKlS+bpFJCaIbrZoXwQRyP6/a1kRI9HhBBSERQQ5USRAlJe6tevbz6SERQUhLCwMMnj/v7+iIqKMv+/uLgY4eHhiIiIQHFxseS5oaGheP755+Hv748PPvjAPJ0CUn1ENzuUDyIK0e9zpSF6LCKEkKqggCgniheQ27dvIyEhAe7u7jh69ChKSkrg6uqKxMREyfNGjRqFbt26WbXM0NBQhISEIDExEUajEbm5uQAoIDVBdNND4SCiEP2+VxKixyFCCLEGCohyolgBSU9Ph6enJ1xdXeHt7Y3NmzcDAPLy8qDT6bB7927J86dOnQo/Pz+rlm0SEAAIDg7G0KFDAVQtIMXFxSgsLDSTm5tLAaFwEA0iuuFXEqLHIEIIsRYKiHKiWAEpKSlBVlYW9u7di6ioKNx33304evSoWUBSUlIkz4+JiUHbtm2tWva9ApKUlARXV1ccPXq0SgGJjo6GTqezQKsCQpEgWkR0w68kRI9BhBBSHSggyoliBaRsevTogeHDh9v0FCxTnnvuOYSEhPAISDVRhWTwtzCIDEQ3+EpF9NhDCCE1gQKinKhGQJ555hmEhoYCuHsR+ogRIySPBwQESC5CryxlBSQ9PR0uLi744IMPeA1INVCEePCXwomNEN3UqwnRYw8hhNQECohyokgBGTduHJKTk5GdnY309HSMHz8eLi4u2Lp1K4C/bsO7ePFiZGRkICIiAp6ensjJybFq+WUFBAAGDhwIo9FIAbGSGkuHPYVBLSig2dYyopt3Z0b0uEQIIZVBAVFOFCkgQ4cOha+vL9zd3dGwYUP06NHDLB+mxMbGmp8TGBiIpKQkq5dfnoDk5OTAYDBQQKzAavmwYxN/bUyIbISLCOWGAqIxRI9dhBBtQwFRThQpIGoJBaQSAVGAYFBKaigtTi5AoptwQikhhIiBAqKcUEBkhAJiO/kQJRwUE0GSQ/kglBFCiIOhgCgnFBAZoYDIExDRUkGB0ZaEiG6uCWWEECIWtQtIbGwsWrZsCYPBgMDAQCQnJ8uqQ2QoIDJCAam+gIgWAaUiXA6cWEREN9KEUkIIUQZqFhDTDZgWLlyIjIwMhIeHw9PTE6dPn5ZVi6hQQGSEAmKdgIhu7tWKcFFQuYSIbpYJRYQQoizULCBBQUEICwuTTPP397f6JyiUFgqIjGhRQMprBioTEBGN+6nu7W0CBUT9QiK6USYUEUKIcrC1gORmpaMwP7va5Gal350/N1fyA9fFxcXlrs8WP8KttFBAZERrAlJREyD66IethENJkiJcCJxERkQ3yIQiQghRDrYSkKKiIjRu3Bg6na7G1KlTx2JadHR0uevLy8uDTqfD7t27JdOnTp0KPz8/WbWICgVERiggYk6/EikcjpAR4QKgJCgihDJCCLERtrz7VFFRkeToRXUpKCiwmFbRERCTgKSkpEimx8TEoG3btrJrEREKiIxoSUAq+rK3t3yIlgpHC4jwhl+p8KgIoYgQQmSi1tvf8hQsRhIKSMUCogTZ+MG9VoUoUUCEN/lqgNeJEIoIIaSGqFVAgLsXoY8YMUIyLSAggBehazFaFxBr5cOeRx0qk4yaQgFRAXa6aJ1C4ryIHkMJIeJRs4CYbsO7ePFiZGRkICIiAp6ensjJyRG9aTWKzQRkyJAhuHLlisX0a9euYciQIbZajc1TUlKCyMhIjB49GiUlJdWalwJStYCoQThsISI8/cq5JIQi4pyIHkcJIWJRs4AAd3+I0NfXF+7u7ggMDERSUpLoTapxbCYgLi4uyM/Pt5h+4cIFuLq62mo1NUplvxy5fPlyxMfHIzExEYsWLarWcikgFBB7iAjlhAJS2WdN9LaoHdFjKSFEHGoXEGeKbAExXcmv1+tx4sQJydX8ly5dwrJly9CkSRNbbGuNUtUvR8bFxSEhIQFr1qzBggULqrVsCojjBcSRIiLqVCxKihjpEN0YV/r5UsH2qgnR4ykhRAwUEOVEtoDo9Xq4uLhUiKurK2JiYmyxrTVKVb8cWVxcjPDwcERERFR4+7OKQgERJyD2FBFbbZsoEXEKOdGAYNREOtRalxIRPaYSQhwPBUQ5kS0gO3fuxI4dO6DX65GYmIidO3eaSUlJQV5eni22s0ax923LtCIgVjVLggTEliJi620SLR2qkhCNyYbW6lUiosdVQojjoYAoJza7BiQnJwd37tyx1eJsElv/cmRxcbHkFLPc3FzodDpMjfkYsz6bWSlfx8dZfBC+jo+rcr5Zn81EStI2yXzFBeesmm/WZzORl50hmTfz8F6r5pvzxWzzPKYv7B//X3vnHxdVlf9/RhIQJFJyNQtQMxFr08jwR25Jpn3MddWtrLTS1TTs66ZZa2isv1IzjEpTyzTFX6ti4hqiqSlBauIa+SNZCBc0RCJdhBTl9+v7hztXrsOPqzP3njNzX8/H4/V46MycO+fMGe55P+feOxO/AjHz372WebOuZfY0JfFvj7cRkI8nvYboyMkN5utn/k9VxP/wf900tYuOnIwvm92mEopVYQ9h7qRJ9SY6cjI+nfCqjTysiviLpufcMuIZm7bRkZPx/rSpDSY9crhKENIjh2tq9/60qTZysWvqK7U+rua8xMyehi8+eNum+I+NjrJ5XG3516dvqdoVrX1DU7uY2dNQsOpNVdsjSyer3z91ZOmHs22K7S9XzNPUdmf8Cpui8+MPo9Xv4TqScWCL6jnP7Fmg6Tlj5s3C5dRFqrb7497X1G7dJ3Ntxrruk7ma2u7fsU41zis5SZrGGTP/XZw5kqhqm3Fgi6Z2H38YbfP62uwj6siXGz6zabt0UYymtkeTN6na/XriK81jLc76WiUgh7/7RtP+MHbFMpv99+a4f2hqm7R7u01brfvvnMwjqnY5mUc0t73+OZN2b9fUbnPcP2zaxq5Ypqnt4e++UbX77dxpzf09dyZL1fbY9/s1tVv66WKb/n65ZZOmtju3b7Vp+/HCjzS1zTz+L1W7vJx0zWMtLTqransgebemds5cR1izc/tWTW2/3LLJpu3STxdranvs+/2qdufOZCn3zZn9DgVEEhz+NbwlJSX497//jaNHj6oiAkf/cuT06dPh5uZmk8jISMyYMaPeLP/sE5s/puWffdJguxkzZiBpd6LNjkNLuxkzZuDnk8dVbX/84aCmdnPnzrERkK3rP9PU9h9RE2wEJDpysqa2O5/7o6qYT+vfQ/NYj/frqjoasrLXw5raffi3120kYulrEZrabhw9zKat5v5GvqCSiOORL2hue/0RjR0Lpmhqt3p+lI2ALJr7d01t9y+JVLW7sOYNzf3Nrykg3y/B4fgYTe1i5s2yKco3Ln1XU9t/rphn03bu7Jna5ibhA1W707sXaB7r5YNqAdn7j2hN7ZYtsJWtZQtma2q79x/RNgKitb+n07ap2v747Rea2s2d846NRGjdR2xcZXvUJma+tnk9vGeDqt0vx3doHmtR5m7V0Y8Dybs1tVv8yrncFwAAIABJREFU8UKb/fea2M81tf1q2xabtlr7m3Xie1W7rBPfa257/XN+tW2LpnZrYj+3abv444Wa2l5f5BYXnNLc34KfM1Vtvz+YrKldbbIVt36NprZb4+Ns2s6dO0dT2x9/OKhq9/PJ45rHer2AJO1O1NTOmesIa7bGx2lqG7d+Ta3irqXt9weTVe0Kfs5U7ouMjKSASILDBOTXX3/FgAED6rwWRASOPgWLR0BqfLp5/aewEhwB+bHvg6pTsq4/AlJXO0cdAbGOWetRDK1HQGo7onC9ROxdFKnpSISwIyDJC1WF9ZGtH+h/BGRNtE3bj+e/o6ntv7d/6FxHQOLe5xGQGzgCYt238QiIbXgEhEdArg+PgBA9cJiADBs2DD179sShQ4fg4+ODXbt2Yc2aNQgODsa2bdsc9TQ3jJ6/HGnma0BszkMXfA2IiJjyWg2BF5Ez9Uf0NRXOEtH7U4ZhxIXXgMiDwwSkVatWSE1NBQD4+voiMzMTALB161Y8/PDDjnqaG0bPX440s4DYSMh1BWhDRbZoeRAhFtLKhpYCl6IhbUQX9M4U0ftShmHEhgIiDw4TEF9fX+Tk5AAAgoKCsG/fPgBAdnY2mjRp4qinuSn0+uVICkj9RaqRhbyMciGlbNgrEBQP4RFdxDtrRO9HGYYRHwqIPDhMQLp27YqvvvoKADBo0CC8+OKLOHPmDCZPnox27do56mmkggJSv4AYLSGUC52ko5751fX5GAoH5YNhGAeGAiIPDhOQtWvXYuXKlQCAtLQ0tGjRAhaLBZ6entiwYYOjnkYqKCCOK1IpDpJJhyz9MGlEF+yuFNH7T4Zh5AkFRB4c/jW8VkpKSvD999/j3Llzej2FcMwuII6WEEZQsS97/0wU0cW6q0X0vpNhGLlCAZEHuwTk9ddf1xxXhAJSzy86iy6+zRrZpcOePrt4RBfrrhjR+06GYeQKBUQe7BKQ3r17a0p4eLij+isVZhEQXLlJCZGt0HWWotqI5xL9+lBGKB6UD4ZhDA4FRB50OwXLDFBANEqIMxXAshfEoiTHrK83pcMpI3p/yTCMnKGAyAMFxA7MJCDWOFxERBfKEhSjwiJaNlxsLkQX3WaP6H0jwzDyhwIiDxQQOzCjgFijpSAQXRAyGiJaOpxAQEQX1gylg2EYx4QCIg8UEDsws4BYQxFxgYgWD0kERHQxzVA4GIbRNxQQeaCA2AEF5GputIgQXWgytcSk0lH1PcXDGSJ6H8cwjGuEAiIPFBA7oICoc7PFhegClPlfTCIc1oguqhnKB8MwxoYCIg8uLSBlZWWYNGkS3njjDZSVlTl8+xSQ2mNPsSG6KGVqxEVEo7aILqoZigfDMMaHAiIP0grIkiVL8Pvf/x6+vr7w9fVF9+7dsX37dtVjFi9ejDZt2sDT0xOhoaFISUlR3b969WqsXbsW8fHxWL58ueq+goICjB07FgEBAfDw8EDLli3Rr18/HDhwQHMfKSB1x1FFiOhC1TRxwSMcDUV0gc1QPBiGMTYUEHmQVkC+/PJLJCYmIjMzE5mZmZg6dSoaN26MH3/8EQCwYcMGNG7cGMuWLUN6ejomTJgAHx8fnD59WtlGbGws1q9fj02bNuGzzz5Tbb9Xr17o1q0b9u7di1OnTiE1NRVz587Ftm3bNPeRAlJ3HF2UiC5WXS4mvuaDEiJ3RO+7GIZx3VBA5EFaAamNZs2aKUcywsLCEBERobq/Y8eOiIyMVP5fWlqKCRMmYOLEiSgtLVVuv3DhAtzc3PDNN9/Y1R8KSN3RozARXaw6fURJh+RCIrrgZigfDMMYEwqIPDiFgFRWVmL9+vXw8PDAiRMnUFZWBnd3d8THx6se99prr+GRRx5pcHsVFRVo2rSpjZjcKBSQuqNXgSK6WHXKiJYMycVEdNHNUEwYhjEmFBB5kFpAjh07Bh8fH7i7u8PPzw+JiYkAgLy8PLi5uWH//v2qx8+ZMwcdOnTQtO0vvvgCzZo1g5eXF3r27IkpU6bg6NGjN9Q/CkjdoXxIFNEy4QRyIrrAZiglDMPoHwqIPEgtIGVlZcjKysK//vUvREZG4vbbb8eJEycUAbn+gvHZs2cjODhY8/avXLmCXbt2YebMmejRowfc3d2xcuXKOh9fWlqK4uJiJbm5uRSQOuLoYkN4Ee+sES0LTiQjogtq5uYjen/HMIxzhAIiD1ILyPX06dMHY8eOtfsUrLoYPXo0AgMD67x/+vTpcHNzswkFxDaOLC6EF/HOHNGC4GQiIrqQvtG/A9F9ki2i93sMw8gdCog8OJWAPPbYYxgxYgSAqxehjxs3TnV/SEiI6iL0GyUmJgb+/v513s8jINpD+ZAkosXACSVEtsLeFcdECWEYRkQoIPIgrYBMmTIFKSkpyMnJwbFjxzB16lQ0atQIu3btAnDta3g///xzpKenY+LEifDx8cGpU6ca3Pb58+cRHh6ONWvW4OjRo8jOzkZcXBxatmyJUaNGae4jrwGpO7IUXaaNjoX+pcmDxMuGzgIiQ/Eu/D0k6etCCWEY5mZDAZEHaQVk1KhRCAoKgoeHB1q0aIE+ffoo8mFl8eLFymNCQ0ORnJysadulpaWIjIxEaGgo/Pz84O3tjeDgYERFReHy5cua+0gBqTuuXnhJGweLhtYIlw8DJMSowlv4e8jJXz+KCMMwdYUCIg/SCogzQAGpOyy+BMQg2ZBeSJywqBb+3pEklBGGYfQMBUQeKCB2QAGpOyzEDIzBRzuklg/BIsL3tr6vIWWEYRh7QgGRBwqIHVBA6g8FxIA4qFh3SQERJCZ8Tzv29aOIMAzjqFBA5IECYgcUkPpDATEgOhToLikdBooJ38+OfQ0pIgzDOCoUEHmggNgBBaT+UEB0jkGFucuLh44S4pTvA9Hv61peR4oIwzCOCAVEHiggdkABqT8UEOcpOk1z+pUTFd8i3gcyvhYUEIZhHBUKiDxQQOyAAlJ/KCCSFpY6yYfTC4roOZfx/SJ6XP8LJYRhGEeEAiIPFBA7oIDUHXsKANHFjksUjhLKh5QiI3r+ZX8/iR5PjVBCGIaxNxQQeaCA2AEFpO5QQHQsCikgTl9MO917TfS4asRIEaGMMIxrhQIiDxQQO6CA1B1HLPyiCx1nkQiZ5UP0GIW/b1zxfSl6zAIkhDLCMK4RCog8UEDsgAJSdxy14JumqHMB+RA9JhkLZZd/j5pURCgkDOOcoYDIg0sLSFlZGSZNmoQ33ngDZWVlDt8+BaTuOHqhN01BZ1BcTjYkK4xN9V41uYRQRBjGeUIBkQepBeTMmTMYPnw4mjdvjiZNmqBz5844fPiwcv/ixYvRpk0beHp6IjQ0FCkpKar2q1evxtq1axEfH4/ly5er7isoKMDYsWMREBAADw8PtGzZEv369cOBAwc0948CUnf0WORNU9AZEJcTDokKYlPJhySvuWgBoYgwjHOEAiIP0gpIYWEhgoKCMHLkSKSmpiInJwdff/01Tp48CQDYsGEDGjdujGXLliE9PR0TJkyAj48PTp8+rWwjNjYW69evx6ZNm/DZZ5+ptt+rVy9069YNe/fuxalTp5Camoq5c+di27ZtmvtIAak/TiMhoos3wXFq2ZCsEDalhIh+PSQSEEoIw8gdCog8SCsgb731Fnr16lXn/WFhYYiIiFDd1rFjR0RGRir/Ly0txYQJEzBx4kSUlpYqt1+4cAFubm745ptv7OojBaThOIWAyFjUMU5bDJtCQkSPX2IBoYQwjLyhgMiDtAISEhKCiRMn4umnn0aLFi3QpUsX5ShGWVkZ3N3dER8fr2rz2muv4ZFHHmlw2xUVFWjatKmNmNwoFJAbCwXENk5/upPMkaAwlk5IRPdTp4gWDooIwzhHKCDyIK2AeHp6wtPTE1OmTEFaWho+/fRTeHl5YdWqVcjLy4Obmxv279+vajNnzhx06NBB0/a/+OILNGvWDF5eXujZsyemTJmCo0eP3lAfKSA3HiklRLBwuIqEOMVvgVBmXDKiRYMSwjDOEQqIPEgrII0bN0aPHj1Ut/31r39F9+7dFQG5/oLx2bNnIzg4WPNzXLlyBbt27cLMmTPRo0cPuLu7Y+XKlXU+vrS0FMXFxUpyc3MpIDcRqSRE4uJchDzIKBrSCIsEhTbjXPJBGWEYuUIBkQdpBSQwMBCjR49W3bZkyRK0bt3a7lOw6mL06NEIDAys8/7p06fDzc3NJhSQG4ujFnPZxUN4wSxQGrIfvbfWiJYQu193CQpuxjnlgzLCMOJDAZEHaQXk+eeft7kIfeLEicpRkbCwMIwbN051f0hIiOoi9BslJiYG/v7+dd7PIyCOiXABkVQ4HC0gskiHiOj6+ktQeOtVlIvuu5kEhELCMMaHAiIP0grIoUOHcMstt2DOnDnIysrCunXr4O3tjbVr1wK49jW8n3/+OdLT0zFx4kT4+Pjg1KlTDW77/PnzCA8Px5o1a3D06FFkZ2cjLi4OLVu2xKhRozT3kdeA3HgcuWC7qnhQQMTLh6bX34WLb9FjEz1+0RG9n2YYVw0FRB6kFRAASEhIwH333QdPT0907NjR5rc8Fi9ejKCgIHh4eCA0NBTJycmatltaWorIyEiEhobCz88P3t7eCA4ORlRUFC5fvqy5fxSQG4uQQkkn6TCiyHfGPouSBeledxcovkULhujxyxDR+2yGcbVQQORBagGRHQqI9ggrkigfho/BGaVD99fdCQtw0ZJhdvmghDCM40MBkQcKiB1QQLRHSJHkZIW7CBkxUkBcRiYkkxJXlxDRAiBDRO+/GcZVQgGRBwqIHVBAtIcCIk9xrWe/RB/5EC4VguTE1QREdMEvY0TvwxnGFUIBkQcKiB1QQLTHVQREtHjcbDFuxPOJPPVKZtE0Uk5cRUAoIRQRhtEjFBB5oIDYAQVEeyggYiXEFQVE76MQUsuSQYU75UPOiN6fM4yzhgIiDxQQO6CA3FgMFxCdJESP4lSvIwSiBOpmxENvoZBBPhw+bhcTENGFvbNF9D6dYZwtFBB5oIDYAQXk5qLXYnzThY8TFasyFPKy90+WcRry+hhUyFMi5I3o/TnDOFMoIPJAAbEDCohjoufi7LBPZyUuWkUX6sKis2yKFknNc0wJYPIoIgyjJRQQeaCA2AEFRL+IWsQdWcxKJw4Gn04jdZxQQup931BAmP9F9L6bYWQOBUQeKCB2QAExJiIWcT0kxGmOEpglLiwglBDzRvT+mmFkDgVEHiggdkABMS4iFnJHFLIUEDHRNIcUEMYFI3pfzTAyhwIiDxQQO6CAGBcRC7kjPkWngFBAKCCMkRG9r2YYmUMBkQcKiB1QQIyLiIXcJQTEpBKiaQ4pIIyLRvT+mmFkDQVEHiggdkABMS4iFnEKiPNG0xxSQBgXjej9NcPIGgqIPFBA7IACYlxELOKOFhCehkUBoYAwRkT0/pphZA0FRB4oIHZAATEuIhZxewVEc/FIAaGAUEAYB0b0/pphZA0FRB4oIHZQVFQENzc35J48huKCHEbHFGV8ZXguJMc0nBX/r86cnfCkTep7vG7RMg4Xi6Y51PDa1TaHoqN1jkX8zTByRPT+mmFkTe7JY3Bzc0NRUZHoEtL0UEDsIDc3F25ubgzDMAzDMIyTJDc3V3QJaXooIHZQVVWF3NxcFBUVobi42CVjlazc3FzhfeH4OXaOn+Pm+Dl2jp/jvtkUFRUhNzcXVVVVoktI00MBIfVSXPy/61yKzXm+pJnHb+axA+Ydv1nHbcXM4zfz2AHzjt+s4yZioYCQejH7jsnM4zfz2AHzjt+s47Zi5vGbeeyAecdv1nETsVBASL2Yfcdk5vGbeeyAecdv1nFbMfP4zTx2wLzjN+u4iVgoIKReSktLMX36dJSWloruihDMPH4zjx0w7/jNOm4rZh6/mccOmHf8Zh03EQsFhBBCCCGEEGIYFBBCCCGEEEKIYVBACCGEEEIIIYZBASGEEEIIIYQYBgWEEEIIIYQQYhgUEEJMzOnTp7F8+XK89dZbOHHihOjuEIPgvJsXzj0hRAYoIASnTp3C8uXLMXbsWBw8eBAAUF1dLbhXxnHx4kVUVlaK7obuVFdXo7y8HGvXrsVTTz2F5s2bw8vLCxaLBf7+/sjNzRXdRcMxw9xz3m0xw7wDnPvrKSoqQllZmehuCMHs6zyRDwqICamoqEBcXBwGDx4Mf39/eHl5oWnTpnB3d0dqaqro7hlCVlYWpk6dipYtW+KRRx5x6YW45iKze/dutG3bFhEREdixYwdKSkqwYsUKtG3bVmAPjcUsc895V2OWeQc49zXJycnBtGnTEBAQgPvuuw+HDh0C4PrFN9d5IjsUEJNQUVGh/PvgwYPo3r07xo4di+3bt6O8vBy7du1C8+bNUVVVJbCX+lFzsbl06RJiYmIwYMAAjBkzBr6+vkhLSxPYO8dy+fJlLFq0CGFhYejVqxfmz5+v/MJtbYvuiy++iD59+qCkpMTorhqCWeae867GLPMOcO5rUnOtq6ioQGxsLPr27Ytx48YhMDAQ8fHxAnunL2Zf54lzQQFxUcrKyrBs2TI89NBD6NKlCyIjI3HmzBkAtS9I06ZNQ6dOnVBYWGh0V3WhtgX5t99+AwBUVlZi3759SE1NRWVlJTw8PLBixQrBPXYcK1euREhICGbOnIlFixahadOmGDNmjFKQVFVVobq6WlmsevfujdGjR4vsskMx69xz3s0574C5576hte748ePYt28fysvL0aFDB8ycORPl5eWCe+0YzL7OE+eGAuKiJCQkIDg4GNOnT8e6desQEBCAPn364L///S+AqzunmgvSc889hz/96U+4fPmyyG47jLoW5KKiIpvHdu/eHS+99JJTjL2h0wYqKyvRunVrREVFKbdt3boVbdu2xdKlS5XHWCkuLsbjjz+uFCOu8MmYq859fXDezTnvAOe+obWuJkOHDsWQIUOQl5cHwPlPwzL7Ok+cGwqIixISEoJXXnlF+X9aWhratWuHWbNm1fr44cOH48knnwQA6S/OdFQRbr0Ycd68eWjXrp3yyZGMHD58GPv372/wcYcOHUJISAi2bNmi3FZSUoKRI0eie/fuNo//9ddfERISgvfff9+h/RWFq819amoqNm/eXGsRXRPOu2vNOwD89NNP+Pvf/97g373Z517LWmed92XLlqFTp0747rvvADi/gLjyOk9cHwqIE5GWloYrV640+Liff/4ZISEh+OSTTwBc28m+/fbb6Nixo3JagvX2oqIihIeHIyIiQqeeOwZHF+HWT/4yMjJgsViQkpLi+E7bwdGjR/GXv/wFt912GwICAtC5c2cMHz4cx44dA6D+5NL6CdehQ4dw//33Y82aNaptxcfHw9PTExcuXFDdXlJSAi8vLyQmJuo8GvtwdCEu89wfOHAAQ4cORbNmzXDnnXeic+fOePjhh7F161YA6sLB1efd0UW4zPNuxTqnL7/8MiwWCyZOnFjv41xx7r/99lu8+uqrmDx5snIaWW1oXeus856dnY3WrVtj1apVOo/g5nH02J1tnSfmgQIiOdnZ2YiKikJQUBAsFgtWr14NoPZPL6y3ZWRk4NFHH8Xs2bMBXNv5pqWlwd3dHUeOHLFpe/vtt2PZsmV6DeOm0bsIt+6c/fz8EBMTI+wTsd9++011WPzy5cuYOXMmBg4ciJSUFFy5cgVxcXHo1q0bnn/+eQBXx1vzokNru/bt22PevHmqsWRmZsLDw0P55M/6uh04cAABAQFISEgAINcngnoX4jLMfc15t45h3bp1GD58OA4ePIiKigr88MMPGDRoEMLCwpTHufK8A/oW4TLMO2D7N1+TH374Ac888wyGDRuG++67T/XBk6vO/c6dO/Hoo4/Cw8MD/v7+eOyxx5CQkOCwtc46zi5duuDNN9+U6jQkvcduRdZ1npgTCohE1FyQrDuZnTt34plnnsGcOXMQHh6O4cOHq+6//t8AUFpaij59+iAiIkJVoF+5cgV+fn7YuHEjgGs75FOnTiEwMFC5KFPUOcFGF+HV1dXKazdw4EAMHjwYhYWF+PXXX5Gfn688Ri8KCwsxc+ZMtG3bFgEBARg1ahS2b98O4Op52jt37rT5pp7o6Gg8+OCDNts6cuQIYmNjAQCDBw/Gs88+qzq9JDs7G506dVI+LbNehJmQkIA77rgDR48e1WWMWjG6EBc597XN+44dO5T7i4qKcPr0aVWbSZMmoWvXrjbbcqV5vx49inAZ/+atc19zv7tu3ToMGDAAmZmZaNSoETIzM2225cxzX3Perf2aNWsWmjRpoqxPtXGza13NtuPGjUP//v2RlZWFc+fO4dSpUwCMEzGjxy7bOk+IFQqIYBoqRs6fP4/jx4/j4sWLeOeddxAYGFjnto4cOYIFCxagoqICkyZNwuOPP46MjAzl/itXruCBBx5Qzg+1nhe7b98+tG3bVvlEzEhEFuFVVVXKTv3NN9+ExWJB+/bt4e/vj5iYGF3GW3ORW7BgAbp27Yq4uDgcPHgQo0ePxm233Yb09PQ62z355JN4+eWXUVpaCgCIioqCu7s7mjdvjhEjRqCiogLLly9HaGgo4uLilPZ79+5FYGAgvv76a9V2Y2Nj0axZMyGfBoosxI2e+5ud93PnzuGTTz5BWFiY8uNhwNXTLFxx3vUuwp3lb/7+++9HcnIyLl++DD8/P9Wn1s469w39vR8+fBj33HMP9uzZg4KCAmzevBnffvttrdu60bWusrJSycyZM2GxWBAQEABvb29MmjRJ34FD7NhlWOcJqQ0KiAButhhJSEiAr6+vshBbF+uPPvoIfn5+8Pf3x6BBg1BYWIht27aha9eu+Oijj5T2R44cQfv27ZXFzNqPvXv3wsfHR/kkSG9EF+G7d+9Wtrdz5064u7vD09MT/fv3x7x583DixAmHjPPcuXP4+OOP0b9/f4wfP14lUsXFxbj11lvx6aefqsYWEBCAkSNHKqeM1PzU6z//+Q/at2+PTZs2KbelpqZi165dqnOFz549i5EjR6JVq1ZISkpCXl4exo8fj4cffhgXL15U9fH6/+uN6ELciLm/2XkfMWKE6lShxMREhISEKKcehoWFYcmSJQCufsf/zp07XXreHVmEy/43X3Pu9+zZgz59+igi9ec//xkvvfQSCgoKUFJSguPHj2PHjh1OMfc3Ou+BgYG444470KJFC3Tr1g133303hg4diuzsbABATEwMbr311hte64CrR9QsFgu8vLzwxBNPYP78+Q6bd5nHLmqdJ6QhKCA644gFyXq6QXp6OoKDg/HBBx8AgHJKwrFjx/DNN9+oFqTi4mJERkbC29sbGzduRF5eHt5++2106dIF586dU/Xx+tMZHInsRXhubq6mC9tvlEuXLmHQoEHo1asXoqKiMGrUKPj4+ChHd3Jzc+Hr66s8t3Uue/bsiaCgIOXi2KqqKkU0J02ahL59+9q8JrVx4cIFPPXUU7j33nvRpEkT3HvvvUhOTnb4OOtD9kJcj7l31LwDV48AFRQUoLq6GmfPnkV0dDT8/Pxw8uTJOp/fVeZdzyJc1r/5vXv3ArgqVzNmzABw9b3fo0cPWCwW+Pn5YeHChXU+v+i5t2ferWvStGnT8M477yAnJwfnz5/HmjVr0LFjRwwbNgzA1bUuKSnppta6kpISXebdGcYO6LvOE3IzUEB0xFHFiLXYLCwsxPPPP4/HH39cdXtdVFVVISIiAvfffz+8vb3Rvn17/POf/9RlrLVhhiJ83759iIyMRGJiouoTr7fffhudOnVSfcI1evRoPPjggzh+/DjKy8sRHh6OP/zhD/jll18AABs3bkRoaCjuvfde5RMt6xjT09PRokULpUjRQlVVFdLS0pTvvDcSVy/E9Z732s7PLi8vR6NGjeo8NcOKM8+7MxThesx9p06dsGjRIpSVlaFXr16wWCzw8PBAq1at0K9fP1gsFmzevLnB8/ZFzb29856UlAQA+OWXX2yO0KxevRrNmzdHQUFBnc8vcq0z89gJsQcKiAPQuxixbrOqqgoLFy7E7bfffkP9S09Px9mzZ+0dZp2YsQjPz89HREQEQkJCYLFYMGrUKJSUlCj3P/vssxg6dCiAa6c8bNy4ERaLBe+99x4AIDk5GaGhobjrrrvg5eWF3/3ud1i5ciWCg4MxZ84c1fP17t1b9fWJ+fn5ypyK/D53sxXiRs+7lerqarz77ru49dZblW+AE4kZi3Cj5n7hwoVYsmQJDh8+rGynXbt2mD9/vkPHczMYtdbVJC0tDRaLBbm5uQ32T8+1zsxjJ0QPKCB2IKIYSU5OVorwrKwsfPfdd8IKUDMX4efPn8fs2bOxb98+REVFISQkRHXxa3R0NFq3bq26iPr1119Hs2bNMGDAAOW2s2fPIj4+HocPH1YWoKCgINU5vatXr0ZAQAA+/PBDREZG4p577oHFYsHUqVMNGGntmLUQN2ref/vtN6SkpCApKQmJiYl49dVXERoaqlxwLeqrU81chOs99x9++CGA2ud24MCB6N27t8vP+/WUlZXhueees3mtjcTMYydETyggdmBUMWL96sj8/HxER0fDYrHA3d0dFosFI0eOxKVLlwwasRozF+HV1dXKofSMjAw0atRIdX5xYWEh2rRpgwcffBAvvPAC2rZti/DwcLzwwgsIDw+v80LAr776CgEBAcpvXZSVleHFF1+ExWLBHXfcgSeffBJr165t8Af59Mashbje8249daK4uBiLFi3C3XffjYCAAAwdOhQ7d+4U/uvFZi7Cjfqbr428vDxh+3nAuL/34uJiJCUlYc+ePdi+fTvGjBmDhx56SPnGKBFzb+axE6InFBA7MHJBysjIQNeuXeHr64sRI0Zg69at9f5KqhGYvQgHri0Kvr6+WLBgger0kJ9//hnTp0/HyJEjlYum58+fjwceeEA5cnP58mVkZGTg4sWLOHLkCP74xz/ihRdeUApN6+9faDkEbyRmL8T1nnfg6oWt1lM2ZMHMRbjjruyxAAAFW0lEQVQVvea+qqpK2iLTqL/3CxcuICYmBq1bt8add96J5557DklJSaiurnZZ8ZR57IToCQXEAei5IFm3VVlZWe+FaCIxaxEOXPtmkf79+2Pw4MHKIfi6Fow333wT3bt3V/5fXFyMV199Fe3atYOnpyeGDBlS6+8dyIpZC3HOu/mKcCtmnnsj/t4LCgqUH4WUCTOPnRA9oIA4ADMvSIC5x29dPJYuXYpWrVop39lupbS0VPkhqO3bt6N169ZYtWqV6jHJyclITk52yl+mNevcc97NOe+AuefezPNu5rETogcUEAdg5gUJ4PiBqxcqWiwW5QfPrMTFxeH1119Ht27d0LJlS7z11luCeqgPZp97zrs55x0w59ybed7NPHZC9IAC4kDMuCDVxOzjv+uuuzBmzBjMmjULERERyMvLQ1paGl577TW89957+Omnn0R3UTfMPPecd3POO2DeuTfzvJt57IQ4EgqIgzHrgmTFbOOvrq7Gli1b8PTTTyvfTnb33XdjxowZKCwsFN09QzHT3HPer2GmeQc491bMNu81MfPYCXEUFBAHYPYFyczjr6ysxKxZszBw4EBs27YN5eXlortkKGade867OecdMPfcm3nezTx2QvSAAuIAzLwgARy/meHcmxPOuzkx87ybeeyE6AEFhBBCCCGEEGIYFBBCCCGEEEKIYVBACCGEEEIIIYZBASGEEEIIIYQYBgWEEEIIIYQQYhgUEEIIIYQQQohhUEAIIYQQQgghhkEBIYQQQgghhBgGBYQQQkxCUlIS3NzccOHCBdFdIYQQYmIoIIQQ4qI8+uijmDBhgvL/srIy5Ofno7q6WmCvCCGEmB0KCCGEuCjXCwghhBAiAxQQQghxQUaMGAE3NzdVVq5cqToFa+XKlfDz80NCQgI6dOiAJk2a4KmnnsKlS5cQGxuLoKAg3HbbbRg/fjwqKyuVbZeVleFvf/sbWrduDW9vb4SFhSEpKUnQSAkhhDgbFBBCCHFBioqK0KNHD4wZMwb5+fnIz8/H119/bSMgjRs3Rt++fZGWlobk5GT4+/ujX79+GDp0KE6cOIGEhAR4eHhgw4YNyraHDRuGnj17IiUlBSdPnsT8+fPh6emJn376SdRwCSGEOBEUEEIIcVGuPwXr+ovQrUdETp48qTzmlVdegbe3Ny5evKjc9sQTT+CVV14BAJw8eRIWiwV5eXmq5+rTpw+mTJmi53AIIYS4CBQQQghxUbQIiLe3t6rNtGnT0KlTJ9VtL730EoYMGQIAiIuLg5ubG3x8fFS55ZZbMHToUJ1HRAghxBWggBBCiIuiRUD8/PxUbaZPn47OnTurbhsxYgQGDRoEANiwYQPc3d2RkZGBrKwsVfLz83UeESGEEFeAAkIIIS5K3759MX78eOX/jhCQzMxMuLm5ISUlRefeE0IIcVUoIIQQ4qKMGTMGDz30EHJycnDu3Dns2bPHbgEBgOHDh6NNmzbYvHkzsrOzcejQIcybNw+JiYn6D4oQQojTQwEhhBAXJTMzE927d0eTJk3q/RremmgRkPLyckybNg1t2rRB48aN0apVKwwZMgTHjh3Tf1CEEEKcHgoIIYQQQgghxDAoIIQQQgghhBDDoIAQQgghhBBCDIMCQgghhBBCCDEMCgghhBBCCCHEMCgghBBCCCGEEMOggBBCCCGEEEIMgwJCCCGEEEIIMQwKCCGEEEIIIcQwKCCEEEIIIYQQw6CAEEIIIYQQQgyDAkIIIYQQQggxDAoIIYQQQgghxDAoIIQQQgghhBDDoIAQQgghhBBCDIMCQgghhBBCCDEMCgghhBBCCCHEMCgghBBCCCGEEMP4/xMxrFETibPSAAAAAElFTkSuQmCC\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tigress/wenchang/miniconda3/lib/python3.6/site-packages/matplotlib/figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    }
   ],
   "source": [
    "# 3 individual volcanic forcings\n",
    "scale_factor = 1e5\n",
    "fig, axes = plt.subplots(3, 1, figsize=(8,6), sharey=True)\n",
    "cmap = 'OrRd'\n",
    "levels = np.arange(0,16.1,2)\n",
    "monthticks = range(1,13,6)\n",
    "\n",
    "\n",
    "plt.sca(axes[0])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1902','1906')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, 'Santa Maria\\n 1902', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(a)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Santa Maria 1902', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "\n",
    "plt.sca(axes[1])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1963','1967')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, 'Agung\\n 1963', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(b)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Agung 1963', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "\n",
    "plt.sca(axes[2])\n",
    "im = da.pipe(lambda x: x*scale_factor).sel(time=slice('1991','1995')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, ' Pinatubo\\n 1991', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(c)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Pinatubo 1991', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "yticks2lat(range(-60,90,30))\n",
    "for ax in axes:\n",
    "    plt.setp(ax.get_xticklabels(), visible=True, rotation=15, horizontalalignment='right')\n",
    "\n",
    "ax = fig.add_axes((.9,.25,.02,.5))\n",
    "plt.colorbar(im, cax=ax, orientation='vertical', label=f'{data_name} [{1/scale_factor:.1e}]')\n",
    "\n",
    "plt.tight_layout(rect=(0,0,.9,1))\n",
    "\n",
    "plt.savefig(figname.replace('.pdf', '_SAP.pdf'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-04-19T19:08:56.328399Z",
     "start_time": "2019-04-19T19:08:55.695486Z"
    },
    "code_folding": [
     0
    ],
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\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",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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.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",
       "            /* 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",
       "            evt.data.type = \"image/png\";\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",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\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",
       " * http://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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             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",
       "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"pdf\";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.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3 individual volcanic forcings: Pinatubo, Agung, Santa Maria\n",
    "scale_factor = 1e5\n",
    "try:\n",
    "    da['time'] = da.indexes['time'].to_datetimeindex()\n",
    "except:\n",
    "    pass\n",
    "fig, axes = plt.subplots(3, 1, figsize=(8,6), sharey=True)\n",
    "cmap = 'OrRd'\n",
    "levels = np.arange(0,16.1,2)\n",
    "monthticks = range(1,13,6)\n",
    "\n",
    "\n",
    "plt.sca(axes[0])\n",
    "im = da.pipe(lambda x: x*scale_factor).sel(time=slice('1991','1995')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, ' Pinatubo\\n 1991', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(a)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Pinatubo 1991', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('lat')\n",
    "\n",
    "\n",
    "plt.sca(axes[1])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1963','1967')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, 'Agung\\n 1963', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(b)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Agung 1963', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('lat')\n",
    "\n",
    "\n",
    "plt.sca(axes[2])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1902','1906')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, 'Santa Maria\\n 1902', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(c)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Santa Maria 1902', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "yticks2lat(range(-60,90,30))\n",
    "plt.ylabel('lat')\n",
    "\n",
    "for ax in axes:\n",
    "    plt.setp(ax.get_xticklabels(), visible=True, rotation=15, horizontalalignment='right')\n",
    "\n",
    "ax = fig.add_axes((.9,.25,.02,.5))\n",
    "plt.colorbar(im, cax=ax, orientation='vertical', label=f'{data_name} [{1/scale_factor:.1e} m$^{{-1}}$]')\n",
    "\n",
    "plt.tight_layout(rect=(0,0,.9,1))\n",
    "\n",
    "plt.savefig(figname.replace('.pdf', '_PAS.pdf'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-07-12T20:34:36.780337Z",
     "start_time": "2018-07-12T20:34:36.274386Z"
    },
    "code_folding": [
     0
    ],
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\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",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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.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",
       "            /* 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",
       "            evt.data.type = \"image/png\";\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",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\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",
       " * http://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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             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",
       "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"pdf\";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.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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L/0yIaNHwMXFGeGrFuPqn6ewZ8cm1Kv7kihcRo0IxKG925GcGIf42EP4fuS3sLW1xZ4dmySfyFLlKUl8yHSyKHVclIYAkXySyiBR7H2ilOCQesJNGSByRZYBMn/+fDRu3BguLi5wcXGBj48Pdu7cKVomNDQUderUgUqlgpeXFw4dOiS6fvXq1QgLC0NERASWLl0qus7f3x+CIGDy5Mmiywv7JfS8PC9A3GrXgiAIBuZeZs7MyXjF0x1OTk6oXq0q+vX+EDcun9Nf//ifvzBuzEjUq/sSHB0dUevFmvh60EDcu3VFv8xA/35wq10LDg4OqFz5Bfh2bM/4oMVSafFRkpMwqcOiNASI5BPWUholUv93s9bQYGwoQwaIfJBlgGzbtg2RkZFISkpCUlISvv/++2c/rnf+PID/fohwyZIlSEhIQEBAANRqNa5du6bfxsqVKxEeHo6NGzca/IaIv78/HB0dUb58edy9e1d/uTkDhFKlKEl4yDQ+pA6K0hIgkk9iqTKUQVQwOKxLBoh8kGWA5EeFChX0ZzK8vb0xePBg0fUeHh4IDg7W/zs7OxsBAQEIDAxEdna2aFl/f39069YNHh4eGDFihP5yBggtTTI8lBse1hAhDBEqUgZBweiwbpGVjsy0ZAaITJB9gDx58gTh4eHPflzvwgVotVrY2dkhIiJCtNywYcPQvn17o7ap+yX0iIgIODo6QqPRAGCA0NKh0sKD0WH9IcIYKUXKICIYHKXHvK9/DBD5INsAiY+Pz/Xjeq6IjIwEAKSmpkIQBBw9elS0/MSJE9GgQQOjtq0LEADw8fHBwIEDARQeINnZ2cjMzNSr0WgYIFT2muNJXOnBIXUcMEgYJqVCGQQDg4M+7/WQASIfZBsgWq0Wly5dQmxsLIKDg/HCCy/gwoUL+gCJiYkRLT9hwgS4u7sbte3cARIdHQ07OztcuHCh0AAJCQnJ94PlDBAqN83xJG6p6GBoMEgYJQpQBnHA2KCFWdhrIwNEPsg2QPLi6+uLL7/80qxvwdLRtWtX+Pn58QwIVbymPnkr6SyH1BN6JSt1QDBIZKgMgoCxQYursa+RDBD5oJgA6dSpE/z9/QE8+xD6V199Jbre09NT9CH055E3QOLj42Fra4sRI0bwMyBUcZr6xF3S0cHQkKdSRwMDhKHB2KDmsCivlwwQ+SDLABk1ahQOHTqE5ORkxMfH4/vvv3/243p79gD472t4ly1bhoSEBAQGBkKtViMlJcWo7ecNEADo378/HB0dGSBUMRb3yVquwSH1hLy0KnU8MEAYHIwNWhyL87rJAJEPsgyQgQMHws3N7X8/rlcZvr6++vjQERoaql/Gy8sL0dHRRm8/vwBJSUmBSqVigFBZW9wnakYHZYCUImUQBowNWpIW9zWUASIfZBkgSoEBQktaU56gi/Uiz+iweqWOBcYGI4OhQYuquV5TGSDygQFiAgwQWhKa8iRd2qPjd4cyhSp1ADAyGBelOS4YGVSnFK+vDBD5wAAxAQYINZemPInLLTjkEhrWHiNSxwIDg2HByKC5lfp11BgZIPKBAWICDBBaHE15gi/J2ChOcMg1LKwpRKSOBgYGg4KhUTqV+rWyJGSAyAcGiAkwQGhhFveJv1gTgRKODWsKDrlGiNQBUeoDQwaTebkq9WSYMijMIQNEPpT6ANFqtQgKCsLw4cOh1WqLtC4DhObWYrFhgdAoqeBgeMg7OCQPAEYFA4MyJEpQBoh8MFuAfPrpp7h//77B5Q8ePMCnn35qrpspFqGhoahTpw5UKhW8vLxw6NAh/XWrV69GWFgYIiIisHTp0iJtlwFSui3R0LBgZJRkaMgtPEpzbEgeAowKRgVlREgsA0Q+mC1AbG1tkZaWZnD5nTt3YGdnZ66bKTK6Hy1csmQJEhISEBAQALVajWvXrgEAVq5cifDwcGzcuBGLFy8u0rYZIKVTsweHhSLDkqEhhwApbaEheRQwKhgTpUipX4do8WSAyAeTAyQzMxMZGRmwsbHB5cuXkZmZqffu3btYtWoVqlevbo59LRbe3t4YPHiw6DIPDw8EBwcDALKzsxEQEIDAwEBkZ2cXadsMkNKj2YLDArEhdWSYM0qk3jc5BIbkYcCQYEBYoVK/plBpZIDIB5MDxMbGBra2tgVqZ2eHCRMmmGNfi4xWq4WdnR0iIiJElw8bNgzt27c3efsMEOvX5PAwc2xIPfm2RnnGguHAaFCuUr9GUGXJAJEPJgfIwYMHERUVBRsbG0RERODgwYN6Y2JikJqaao79LBapqakQBAFHjx4VXT5x4kQ0aNDA5O0zQKzXkgoPxoZ1RYSsYkIGE3a5KPWkmDISqDxlgMgHs30GJCUlBTk5OebanFnQBUhMTIzo8gkTJsDd3b3I28vOzha9xUyj0UAQBEyc8BNmzpj+XNeFrTQ4ENaFrSx0vZkzpiMmeq9oveyMm0atN3PGdKQmJ4jWTToXa9R6c+fMNtjf3Tu3GrXuti0bDdZdtDDUqHXjTx0VrXfnxiWjx3r/zjXRuif/OGjUeiuXL9Gvo3vB3LRmAWZOn1ywU8Zj5pTxOLBuukF4zJzwg4EzfvjewITgfqLYiPHrgGnBIwt1UlCQwVuVlnbqiElBQYU698MPDd7itDDga6Nu9/fe3UST/vNvtjBqvWnBI3H67Vaidfd99LZR680NGmYw2Y8YPSTf/5553TH6K4N15/wQbNS6Z4P7i+Lixsr/y/d+zc9Ha8VhcHR+sFHrrZ0x2iAq1s4Y/d8y/3vM5efRDTNEj8NHx+c9d/nc3tj/i2jdP3fOMmq9udN/Mpj4714zzah1ty2fYrDuolkTCl93+mScjd4omtzevvD784/VXGZe2idaN3bfeqPWW7noF4NJdaHPEf8zatsqg3WN3d+rsdtE612N3Wb0unlvM2rbKqPW27RmgcG6Kxf9UvA6uZ5LT/5xUPQcfP/ONaOfv+/cuCRaN/7UUaPWW7Qw1OD1ZtuWjUatu3vnVoN1586ZbdS6SediReulJicYPdbsjJuidWOi9xq1HucRps8jJk74iQEiE8z+NbwPHz7En3/+ibNnz4qUAnO/BSskJASCIBgYHByMcePGPdelixcYHExLFy8odL1x48Yham+kwROHMeuNGzcO1y+fE617/vQxo9abNGmiwf5ujdhg1LobwtcYrDtzxnSj1j11LFq0Xtr1JKPHmpmWYvCkbsx6oXPniOLjaephrF4yx6h1d62eanDGw9j9PfxeJ9Gk/PB7nYxeN2+ALOzytlHrzfqkv8G6U7/5xqh1d3zcQ7S/595qafT+xnVpLVp3d+9uRq0344fvDSJi3ZgAo9bdPGaIwbqTQsYate65xSNF9+m1FSOMHmveADkwd5RR6y2ZMsbgbMaSXyYYte6BddPEAXJsntH7e22vOEDObf/ZqPUmTfjRICJ+Wz7FqHV/XTTZYN2Z0ycbte7J/etFx+pf53YZPdaMpL2idY/uWmvUeqGzpxtMyo1+jti0zGBdY/f34rHfROtdPPab0evmvc1dm5YZtd7qJXMM1g2da9xY805yM9NSjN7ftOtJonVPHYs2ar2ZM6YbvN5sCF9j1LpbIzYYrDtp0kSj1j1/+phoveuXzxk91rwBErU30qj1OI8wfR4RHBzMAJEJZguQ27dv45133inwsyBS4e3tja+++kp0maenp/5D6EWBZ0Cs+wyIUX/dzPMXWf0ZkFwTzued9cj91/0Yvw6iSXnuMyCFnckw1xmQ3x3K4OcBAwpdryTPgDzvTMSCsSNL7AzI885G/LlUHCAlegbkf4+ltQsmGUzK1y6YZNQZBaWeAcl9zC2aN9Oov9DzDEgJngGZMR2bN6wzeP5euXyJUc+lPANi3Fh5BkS6eQTPgMgHswVI37590aZNG5w4cQJqtRp79uzBmjVr4O7ujh07dpjrZoqM7mt4ly1bhoSEBAQGBkKtViMlJcXkbfMzINalMe9lNvbzHsX9TIcxXy8bIgjPVYlfcVvqPq/Bz27w8xsyVernYUpLUn4GRD6YLUCqVauG48ePAwBcXFyQlJQEANi6dSvatm1rrpspFqGhoXBzc4ODgwO8vLwQHR1tlu0yQKxHY1+cSzJAzBEflowRpUaI5MHBAGGIyFypn48pLSkZIPLBbAHi4uKC5ORkAICbmxuOHDkCALh69SqcnJzMdTOyggFiXZozQEoyQvILEUuc9VBidEgeF4wNxobMlfp5l1JLygCRD2YLkJYtW+L3338HAPj5+aF///64ceMGRo4cibp165rrZmQFA8T6LHaEFBAiBU2MjZ2gWyosSjI0rD4uZDCBl4tST6Yp44LS58kAkQ9mC5CwsDCsWLECABAXF4fKlSvDxsYGKpUK69evN9fNyAoGiHVq7ggpLEaKGiWFhYm5z1JYMjIYEYwGyqigtKRkgMgHs38Nr46HDx/i1KlTuHPnTkndhOQwQKxbk0KkkBgxJkiKGydyiwqLxIUMJvIMBMqAoFTeMkDkg0kB8u233xqtNcIAKV2aHCRGRIkpkWJprT0ipJ6oUumU+rmGUloyMkDkg0kB0qFDB6Ps2LGjufZXVjBASqdFmcgUa/Ir1duQFHRmQuoJKuXkn1KqPBkg8qHE3oIlB7RaLYKCgjB8+HBotVqzb58BQos7yTJpAi51VJRgXEg9+S0tSn3cUEqpFDJA5INsA2T+/Plo3LgxXFxc4OLiAh8fH+zcuVO0TGhoKOrUqQOVSgUvLy8cOnRIdP3q1asRFhaGiIgILF26VHRdWloavvzyS9SqVQsODg6oWrUq3nrrLcTExBi9jwwQmldzTA6lfusR397ESTullFqjDBD5INsA2bZtGyIjI5GUlISkpCR8//33sLe3x/nz5wH89wvnS5YsQUJCAgICAqBWq3Ht2jX9NlauXInw8HBs3LgRixcvFm2/Xbt2aNWqFQ4cOICUlBQcP34ckyZNKtKvtjNAqDGacxIsdTjINTSkvo8ppZTKXwaIfJBtgORHhQoV9GcyvL29MXjwYNH1Hh4eCA4O1v87OzsbAQEBCAwMRHZ2tv7ye/fuQRAEHDx40KT9YYDQ4liSE/HSEBxS33+UUkqVKQNEPigiQJ48eYLw8HA4ODjgwoUL0Gq1sLOzQ0REhGi5YcOGoX379oVu7/Hjx3B2djYIk6LCAKHm0JJvI5JzWDA4KKWUlqQMEPkg6wCJj4+HWq2GnZ0dXF1dERkZCQBITU2FIAg4evSoaPmJEyeiQYMGRm1706ZNqFChAhwdHdGmTRuMGjUKZ8+efe462dnZyMzM1KvRaBgg1OxKOdmXg1L/96eUUmqdMkDkg6wDRKvV4tKlS4iNjUVwcDBeeOEFXLhwQR8geT8wPmHCBLi7uxu9/aysLOzZswc//vgjWrduDTs7O/2vuedHSEgIBEEwkAFCS0qpY4DhQSml1FpkgMgHWQdIXnx9ffHll1+a/Basgvjss89Qu3btAq/nGRAqpVIHAuODUkqpkmWAyAdFBUinTp3g7+8P4NmH0L/66ivR9Z6enqIPoReVmTNnolKlSkYvz8+AUCmUOhYYHpRSSpUoA0Q+yDZARo0ahUOHDiE5ORnx8fH4/vvvYWtriz179gD472t4ly1bhoSEBAQGBkKtViMlJaXQbaenp6Njx45Ys2YNzp49i6tXr2LDhg2oWrUqBg4caPQ+MkColEodD4wPSimlSpIBIh9kGyADBw6Em5sbHBwcULlyZfj6+urjQ0doaKh+GS8vL0RHRxu17ezsbAQHB8PLywuurq4oW7Ys3N3dMWbMGDx69MjofWSAUDkodUgwPCillCpBBoh8kG2AKAEGCJWTUocF44NSSqmcZYDIBwaICTBAqNyUOjAYH5RSSuUqA0Q+MEBMgAFC5arUscH4oJRSKjcZIPKBAWICDBAqdxkelFJK6TMZIPKBAWICDBCqFBkflFJKS7sMEPlg1QGi1WoRFBSE4cOHQ6vVmn37DBCqNBkelFJKS6sMEPkg6wC5ceMG+vXrh4oVK8LJyQlNm7uYUmwAACAASURBVDbFyZMn9deHhoaiTp06UKlU8PLywqFDh0Trr169GmFhYYiIiMDSpUtF16WlpeHLL79ErVq14ODggKpVq+Ktt95CTEyM0fvHAKFKluFBKaW0NMkAkQ+yDZC7d+/Czc0NAwYMwPHjx5GcnIx9+/bh8uXLAP77IcIlS5YgISEBAQEBUKvVuHbtmn4bK1euRHh4ODZu3IjFixeLtt+uXTu0atUKBw4cQEpKCo4fP45JkyZhx44dRu8jA4RSSimlVBkyQOSDbAPku+++Q7t27Qq83tvbG4MHDxZd5uHhgeDgYP2/s7OzERAQgMDAQGRnZ+svv3fvHgRBwMGDB03aRwYIpZRSSqkyZIDIB9kGiKenJwIDA/Hhhx+icuXKaNasmf4shlarhZ2dHSIiIkTrDBs2DO3bty90248fP4azs7NBmBQVBgillFJKqTJkgMgH2QaISqWCSqXCqFGjEBcXh4ULF8LR0RGrVq1CamoqBEHA0aNHRetMnDgRDRo0MGr7mzZtQoUKFeDo6Ig2bdpg1KhROHv27HPXyc7ORmZmpl6NRsMAoZRSSilVgAwQ+SDbALG3t0fr1q1Flw0dOhQ+Pj76AMn7gfEJEybA3d3d6NvIysrCnj178OOPP6J169aws7PDihUrClw+JCQEgiAYyAChlFJKKZW3DBD5INsAqV27Nj777DPRZfPnz0eNGjVMfgtWQXz22WeoXbt2gdfzDAillFJKqTJlgMgH2QZInz59DD6EHhgYqD8r4u3tja+++kp0vaenp+hD6EVl5syZqFSpktHL8zMglFJKKaXKkAEiH2QbICdOnECZMmUwceJEXLp0CWvXrkXZsmURFhYG4L+v4V22bBkSEhIQGBgItVqNlJSUQrednp6Ojh07Ys2aNTh79iyuXr2KDRs2oGrVqhg4cKDR+8gAoZRSSilVhgwQ+SDbAAGA7du3o1GjRlCpVPDw8DD4LY/Q0FC4ubnBwcEBXl5eiI6ONmq72dnZCA4OhpeXF1xdXVG2bFm4u7tjzJgxePTokdH7xwChlFJKKVWGDBD5IOsAkTsMEEoppZRSZcgAkQ8MEBNggFBKKaWUKkMGiHxggJgAA4RSSimlVBkyQOQDA8QEGCCUUkoppcqQASIfGCAmwAChlFJKKVWGDBD5wAAxAQYIpZRSSqkyZIDIBwaICTBAKKWUUkqVIQNEPjBATIABQimllFKqDBkg8oEBYgIMEEoppZRSZcgAkQ8MEBNggFBKKaWUKkMGiHxggJhARkYGBEGA5nI8MtOSKaWUUkqpTNVcjocgCMjIyJB6ClnqYYCYgEajgSAIlFJKKaVUIWo0GqmnkKUeBogJ5OTkQKPRICMjA5mZmSWiLnI0Gk2J3YYUclzKkWNSjtY4LmsckzWOy9rGw3EpT2PGlJGRAY1Gg5ycHKmnkKUeBojMycz83+dMMq3r/Yocl3LgmJSDNY7LGscEWN+4rG08Ojgu5WCNY7JmGCAyx1oPKI5LOXBMysEax2WNYwKsb1zWNh4dHJdysMYxWTMMEJljrQcUx6UcOCblYI3jssYxAdY3Lmsbjw6OSzlY45isGQaIzMnOzkZISAiys7Ol3hWzwnEpB45JOVjjuKxxTID1jcvaxqOD41IO1jgma4YBQgghhBBCCLEYDBBCCCGEEEKIxWCAEEIIIYQQQiwGA4QQQgghhBBiMRgghBBCCCGEEIvBAJEBt27dwvXr16XeDbNz/fp1LFu2DLt27cLjx4+l3h2zcevWLdy+fVvq3TAraWlpuHPnjtS7YVZ4XCkHHlPK4ObNm0hKSsLTp0+l3hWzcv36dSxevBjh4eG4f/++1LtjFlJTU3Ht2jWpd8Ps3Lp1CxqNRurdIGaAASIBT58+xYkTJ/D555+jZs2aqFq1Kjp06IBx48ZJvWtm4c8//0THjh3h7OyMJk2aYPbs2UhPT5d6t0zin3/+wZQpU/Diiy+iYsWKeOeddzBr1iypd8skzp07h6FDh6JWrVqoWbMmunTpgrlz50q9W8WGx5Wy4DGlDE6fPo1BgwahZs2aqFSpElq3bo0hQ4bg3r17AKDoGLl27Rq6d+8OFxcXNGnSBFOmTEFKSorUu1VssrOzMWfOHNSuXRvlypVDp06dMHr0aKl3y2QSExMRFBSEWrVqoUqVKujQoQN++OEH5OTkSL1rxAQYIBYi95P0zZs3MWTIEPTv3x/bt2/HpUuXMGPGDDg4OGDbtm0S7mXR0Y1L97/3799Hz5498cknn+DmzZsAAK1WiydPnki2j8VBNx7dfq9duxbNmjVDREQErl69iunTp6NSpUpYvny5lLtZZHTjSk1NRZ8+fdCrVy9ERETg/Pnz+Pbbb6FSqbBv3z6J99J4eFwp57jiMaUMcp9Vu3v3LsaNG4c+ffpg69atuH79OlasWIGqVati9uzZEu5l0dGNS3d/abVaDB48GN26dRP9Rf3ff/+VZP+Kg25MumNq586daNKkCdauXYubN29i5cqVcHNzww8//CDlbhYL3f2Unp6OIUOG4L333sPGjRtx5coVTJ48GeXLl8fSpUsl3ktiCgyQEuLRo0eYN28evL290a5dO0yfPl1/avfx48c4duwY/v77b9E6Dg4OWLt2rRS7azTPGxcAxMXFoUqVKsjMzMTTp08RHR2Nc+fOSbjHxvG8cWVlZaF58+YYNmyY6C8uvXr1QsuWLZGamirVbj8XjUaDOXPmwM/PD4sWLQIA/f4/fPgQo0aNwqVLl0Tr1KlTB1OnTpXtXzV5XCnnuOIx9Qy5H1NarRZLlizBq6++imbNmiE4OBg3btwA8Gxie+bMGaSlpYnWcXNzw9SpU6XYXaPJb1y5H1cpKSmoVKkSbty4gadPnyIqKgpHjhyRcI8L53n3lVarRY8ePfD+++9Dq9Xq1/nhhx9Qs2ZNXLlyRardLpQbN25g/vz56Ny5M8aOHQvgv+MqKysLU6dORXx8vGidjh07YujQocjKyrL4/hLzwAApIVasWAFPT0/8+OOPmDdvHpydnfHFF18gIyMj3+UXLVqEDz74QLYvvDoKGpfudHxISAj8/Pzw888/o379+mjQoAGaNm2KYcOG6f9yK8cX4oLGdffuXQBAlSpVsGDBAgD/7X/v3r1hY2OD9evXA4CsTgdfu3YNnTt3RqtWreDq6orBgwc/9y97un339PTUTyyUdD/xuJLf/cVjShnH1Pbt2+Hu7o6QkBCsXbsWtWrVgq+vr0HI61i3bh3eeecdJCUlAZDnmICCx6V72+KqVavQtm1bzJkzB02aNIG7uzsaN26Mvn374vz58wDkN7aCxqT7/FTjxo0xZswY0ZnRwMBA2NjY6I81OR1TAJCRkYF33nkHrVu3hpubG7p27frcXzLXjc3HxwcjRowAIL/7iRgHA6QEePLkCWrUqIExY8boL9u6dSteeukl/V/Nnjx5gpycHMycORM2NjZwcnKCt7c3goKCZFv0zxtXaGgoAGDs2LGoUqUK2rVrh7Vr1yIjIwOhoaFo1qwZvvnmGwDyewI0ZlwDBgyAu7s7du/eDQDYsWMH3njjDTRu3Bj9+/cHIK9x/f3335gyZQoSExPx9ddfo2vXrvq/zOZ+sn769Kn+NP62bdtQt25d/Pnnn5Lsc2HwuFLOccVjShnHFPAskAYNGqT/d1xcHOrWrYvx48eLllu2bBlsbGygVqvRvHlzDBgwQLbxCxQ8rpCQEADAggUL8PLLL6NZs2aYN28eHj58iA0bNqBNmzbo3r07AHk9/oCCx6Q7azB69GjUq1dP/zbG/fv3491338Urr7yCDh06AJDfmABg8uTJOHXqFCZPnow2bdrg5MmTAAyPK118/PHHH6hXrx4OHTokyf4S88AAKQLHjx/H5s2bC/xrq44TJ07A09MTW7Zs0V/28OFDDBgwAD4+PqJlExMTcfz4cdy4cQObN29GgwYNEBgYWCL7XxDmGFfLli0BAEeOHIGNjQ18fX1F606dOhVubm5m3/fnYY5xvfrqqwCApKQk9O3bF9WrV4etrS2qVq2KSZMmwd/fH++++26JjiM3xo4pN+vWrUPLli31n4PI7wXoyZMneP/99zF48GCz7auxXLx4EWPHjsXRo0efu5zSjitzjEtux5U5xiS3Y8rYMeVG7sfU4cOH8fXXX2PkyJHIzMwscLnr16/D09PT4EzU6NGj4eHhIXobYGpqKo4fP47bt29j//79aNu2Lfz8/Ep2IHkwx7jq168PADh79ixsbGzQuHFj0brr169HmTJlLPYNc+YaU05ODm7evImgoCDUrl0btra2eOGFFzBmzBiMGjXKYJwljbHjys3+/fvRunVrLFy4EEDBsfTNN9/gvffek2VMEeNhgBRCTEwMevbsiQoVKqBmzZpo2rQp2rZti61btwKA6FSn7gnrxIkTaNKkCdasWSPaVkREBFQqVb7fHqL7/yNGjEDHjh1L/C0jJTGu+/fv4+nTpyhfvjw++ugj0dsTNm7cCE9PT/1peyWNSzfZ//fff3H48GEkJyfrn/jefPNNDBo0SPSeWynHlN9j6uLFi2jRogWmTJlisG3dMps3b0aVKlUs+g0wuv/+n3/+OWxsbAoMBCUdV7n311zjksNxZe4xSX1M5d7XwsaklGNq9+7deP311+Hg4IBKlSqhU6dO2L59e75fVKC7LDExEa+//jomTJgA4L8JX1xcHOzs7HDmzBmDdXXjW7x4MRo1aoSLFy+W1JAAlMy4dJ8naNasGby9vUVnR0+ePInKlSsjLi5OUWPKfV/Fxsbi+vXr+sf4F198gXfffdfoELDEuJ4+fWrwZRs3btxA165dRWd58nLs2DG4urqW6P1DLAMDJBf37t3D1atXRS84YWFh6NevH44dO4bHjx/j9OnT8PPzg7e3N4BnL2J5/1Ly6NEjvPzyy5gyZYpoW0lJSXBwcEBMTEy+t//kyRO89tprePvtt8364mupcR0+fBgA8PHHH6N58+Y4deqUfpmBAweiXbt2+vd/K2lcf/zxR763/+eff6JatWqYN28eAPOc2jbXmPLSpUsXfPrpp/jnn38MrktPT0f9+vVFX4H6+PFjPHjwwOTxFDQmHadPn8ZHH32Evn37olGjRqKJgBKPKx3mHJcljytLjUnqY6o4Y8qL3I6p8ePHw8nJCb/++muB6+WdCGZnZ8PX1xeDBw8W/bfOysqCq6vrc7f1wQcf4NVXX8Vff/1lwkjEWGpcui+lGDt2LOrUqYMDBw7olxkzZgyaNGli8GUCch9Tftt6+vQpUlNTRd+EZa6zBuYaV16+/vprvPnmm/l+Bunff/9FixYt8N1334kus4avhC6NlPoAyczMxJQpU1CvXj1UqFABbdq0wciRI/V/Zbx3757Bj/kEBQXp3xqRmzNnzmDlypUAgB49eqBXr176b6gAgKtXr+KVV17Rn168c+cOjh07hszMTJw9exbfffcd2rdvj6ioKEWOSzdpOHXqFHx9fVGvXj2sW7cOkydPho+PD9atW6fIcelOeT948ABJSUm4fv06zpw5gw8++AA9evTQ/4Xa0mNq0aKFwbbi4uIQFhamf0LWTaJGjRqFTp064ezZswDEf33K/b7b6dOno1WrVqhduzbCw8PNPibdi4/utteuXav/QKutrW2+f8lXwnFVkuMq6eNKijFJdUzlHdO6devQrVs3/ZgSExMNtiX3Y0r3gd3Y2FjUr18f+/fvR1paGjZv3qyP17ycOXMGv/zyCx4/foygoCC88cYborHrvqVM9zmQ9PR0HD9+HGlpaTh79izGjh2Ltm3bit5ip6Rx6T4HkpycjI8++ghVqlTBL7/8or+vTP3tFinvq0ePHuHSpUtISkpCfHw8+vXrh7fffhu3bt0yaUwlMa558+bpf6xTd1yFhoaiVatW+ufr3M8DixcvRtOmTbF//37Mnj0bPj4+qFy5MmbMmGHy2IjlKXUBonsw6/4KsGbNGjRu3Bhr167FlStXsGjRItja2uZb8Hfu3MGCBQvg7e2NY8eO6S8fPXo07OzsULFiRfj7++Px48dYunQpvLy8sGHDBv1yBw4cQO3atbFnzx4Az97T+cYbb+Dll19G2bJl0blzZ2zdurVYL7xyGNfevXv1l12+fBmjR4+Gp6cnfHx8sHz58ud+s4USxvXPP//g559/hpubG8qWLQs/P79inQYu6TF9/vnn+rca6W5jx44dovHp/hL7119/oUKFCrCxsUGZMmXQvHlzjBs3Tv8tMCU9piZNmiA6OhqPHj2Cq6srlixZku+YlHZcmXNc5j6u5DQmqY8pY8eklGOqdu3aqF69OipXroxWrVqhXr166NmzJ65evQoAmDlzJsqVK4dKlSrBz88Pd+/exY4dO9CyZUvR73qcOXMGL7/8MhYvXgzg2W/s9OnTB/Xr14ezszN8fX2xYcOGYn1OQg7jyn0/3759G7NmzUKLFi3g4+ODRYsWFflMlZzGlJWVhbCwMLz00ktQq9Xo0qVLkT7fZMlxffDBB7h8+bLoNmJiYtCuXTvMnDkTAPSfQ7p37x5atGgBGxsb2Nvbo1mzZvjxxx+LfFwR+WD1AfL3338jNDQUvr6+6NixI6ZPn67/S9aTJ0/QqFEjfPPNN6L3VVesWFH0BAUAkZGR8PT0RK1atdC0aVN4e3tj/vz5AJ69J3H37t2i91fevHkTAwYMQLVq1RAVFYXU1FQMGTIEbdu2FZ2y3717N2JjY61uXEDxTvXKfVyXL18u8gRJqjHlRqPRoGnTpnj77bfRq1cvtGrVSn//zJo1q8iPQXOMKSoqCr6+vvq/kL///vv45JNPkJaWhocPH+LcuXPYtWuX4o6rkhwXUPTjSu5jkuqYKs6YciPHY2rcuHH46aefkJycjPT0dKxZswYeHh7o27cvACA+Ph5RUVGiMWVmZiI4OBhly5bFr7/+itTUVIwePRrNmjXT/3UaeDYxzP32P2sZV3GQ+5hu3bqlPzOnhHHlJi0tDZ07d4aXlxd69uyJGjVq6I+r5cuX678hiygfqw6QJ0+eoE+fPvDx8cG4cePwyy+/wMnJCcOHD9e/Z7ply5bw8/PT/3UrLCwMfn5+uH79un4bwLPvqk5LS8PTp09x8+ZNTJs2Da6urvp6z4979+7hgw8+QMOGDeHk5ISGDRsiOjqa4ypF45J6TMCz74F/+eWXYWNjgzp16qBv377YtGkTnj59WqxINMeYgGc/kDVu3DgAz+KqdevWsLGxgaurK+bMmVPg7cv58Se3cXFM5h8TIN9j6s6dOwbBunr1alSsWNHgxwRzk5OTg8GDB6NJkyYoW7YsXn75Zfz2229FHkdpGJc1jkkO4wKefYakQYMGsLGxwUsvvYT+/ftjzZo1xT6uiLyxigA5cuQIgoODERkZKXqbxapVq1CrVi3Re7+/++47dOrUSf9Xrz179uCLL76Al5cXVCoVHBwc8Oqrr2Lo0KH607D5PfD//fdf2NraFvj+Rh05OTmIi4sr1rfvcFzKGZccx6QLl7Fjx2LatGn67+yXekxarRYZGRl47bXXYGNjAwcHB1SrVg1vvfUWbGxssHnz5kJfbOT4+JNyXByTZcYk12PqeW8ZiouLg42NDTQaTaH7l5CQUOQxWeu4rHFMch2X7riaNWsWZs+eLfsfjiXmQdEBcuvWLQwePBienp6wsbHBwIED8fDhQ/31U6dOhbe3t+jbcQYNGoShQ4cC+O/9jQcPHkTDhg2xdetW3Lx5E5GRkahbty6GDBlS4NfHTZ48GeXKldN/nR/HVTrHxTEVb0wAMHfuXISGhuLkyZP6v5jVrVsX06dPN+t4rHlcHBPH9LznCa1Wi969e8PT01P0ZQAcV+kakzWPiygXRQdIeno6JkyYgCNHjmDMmDHw9PQUlXNCQgLefvttvPnmm/jkk0/g5uaGChUqYPbs2aKvePP19cX48eNFp/nGjx+PTp06ITk5GY8fP0Z0dDSioqIQGRmJr7/+Gl5eXvpvezH3V79xXMoZF8dU9DF17NixwN9G6N69Ozp06FAiX6dojePimDimvM8TBw4cwP79+7Fz50588cUXePXVV7Fr1y4Ayn5Ot9S4rHFM1jwuolwUHSBPnz7Vf297YmIibG1tDb7t4fHjx+jXrx98fHywcOFCbNy4EbVr18ZHH32EK1euAABq1qwp+lYJAOjVqxe8vb3x6NEj/PPPP5g3bx7q1auHWrVqoWfPnti9e3eh32fNcVn/uDimoo+pVatWol9Yzk1qaqrZfishL9Y4Lo6JY8r9PHH//n3MmDEDNWrUQM2aNdG7d29ERUWJviKY4yp9Y7LmcRHlougA0aF7ULu4uOCXX34RvX83KioKTZo0wcGDB/WXHT58GK+++qr+dwMCAgJQqVIlzJkzB4mJiZgyZQpatGiB5cuX69e5c+eOWX9wyRg4rmcoYVwcU/HGJAXWOC6OiWPSkZaWZpbffCgK1jguaxwTYL3jIsrDKgJE913kXbp0QY8ePUTfwBASEoLmzZuLlo+NjUW9evX0B8ydO3cwbNgwNG/eHFWqVIGXlxcWLFiAR48eWW4Q+cBxPUMJ4+KYlDEmwDrHxTFxTFJijeOyxjEB1jsuojysIkB0b0NZtGgRqlWrpv/BG+BZ0Ts4OGD+/Pl48OAB/v77b4wdOxaNGjUy+EaGlJQUWX3VG8elnHFxTMoYE2Cd4+KYOCYpscZxWeOYAOsdF1EeVhEgOm7dugUbGxvRLwcDwCeffIJ69erB29sbrq6u8PT0NMv3ZlsKjks54+KYlDEmwDrHxTFxTFJijeOyxjEB1jsuohysKkAA4MUXX8QXX3yB8ePHY/Dgwfq6P3z4MNatW4eLFy9KvIfFg+NSDhyTcrDGcXFMysAaxwRY57iscUyA9Y6LKAOrCJCnT59iy5Yt+PDDD2FjYwM7OzvUq1cPP/74I9LT06XevWLDcSkHjkk5WOO4OCZlYI1jAqxzXNY4JsB6x0WUh1UEyJMnTzB+/Hh0794dO3bswL///iv1LpkFjks5cEzKwRrHxTEpA2scE2Cd47LGMQHWOy6iPKwiQAghhBBCCCHKgAFCCCGEEEIIsRgMEEIIIYQQQojFYIAQQgghhBBCLAYDhBBCCCGEEGIxGCCEEEIIIYQQi8EAIYQQQgghhFgMBgghhBBCCCHEYjBACCGEEEIIIRaDAUIIIYQQQgixGAwQQgghhBBCiMVggBBCCCGEEEIsBgOEEEIIIYQQYjEYIIQQQgghhBCLwQAhhBBCCCGEWAwGCCGEEEIIIcRiMEAIIYQQQgghFoMBQgghhBBCCLEYDBBCCCGEEEKIxWCAEEIIIYQQQiwGA4QQQgghhBBiMRggJpCTkwONRoOMjAxkZmZSSimllFKZmpGRAY1Gg5ycHKmnkKUeBogJaDQaCIJAKaWUUkoVokajkXoKWephgJhARkbGswfy5XhkpiWLnDV9Ihq94oGyTk5wLeeCxo1ewbgx3xksZ4o7IsIhCAKuXTxr8rb69voAgiDg00/6Glz32YCPIQgC+vb6wOTb+SvlT1w+H2vW/w5UHmYk/m5W70XPNM3l35jVmwFdFa25/3tQ+Sj1Y0s2jy9TnzNM1NzPgdT8Xj+5GYIgICMjQ+opZKmHAWICmZmZEAQBmWnJQFa63qULZqNs2bJYumA2Lp0/gfOnjmDdykUYEzxctJypRu3+DYIg4N6tKyZvy//j3qj1Yk24upbDo7sa/eVZ926gfHlX1K71Ivw/7m3Sbfx7/5ZZx0/l5dPUw2Y159R801wfZFYfjPRTtOb+70Hlo9SPLdk8vkx9zjBRcz8HUvObkfj7s3lbZqbUU8hSDwPEBAoKEL9uXTCgf5/nTtZOHN6DNzq9jkqVKqJcORe0b9cap2L2i5YRBAFL5s9Cj+5d4eTkhJfrvYStG9cAWelITowzOKWoC4RdW39F29at4OpaDhUrVsA7Xd7E5Quxz90f/497w69bFzRu9ArCli/QX752xUI0bvQK/Lp1EQVIYbeh279f1yzF66+1gUqlwvJFc7Bi8Vy4upbTL3f5Qize7fY2qlSpDLVajZZezbA3crPkk2kqbXwwQKx0gkhLTD6+ghgglAGiIBggJlBQgAz63B8e7vWRkni6wAnb/l0RWLN8PhJOxyDhdAw+G9APVatWwf3b/21LEAS8WLMG1q1chEvnT2DY11/C2VmNv1Mv4cmDNGwOXwlBEJAUfwy3ki8g46+rQFY6Nq1bgc3hK3Hx3HGcPhaF7u90RuNGryDn4e0C90cXID9P/Qm+HdvrL/ft2B6zpk0wCJDCbkMXIHXcamNz+Epc/fMUUq+cMwiQM8cPYuHcGYiPPYSL545j9HdBcHR0xLWkM5JPqinjQy6TO6uYHNIStdQ/xhgflAGiKBggJlBQgNy8eh4+3i0hCAIa1K8H/49749c1S58bAE8epMHFxRnbN6/VXyYIguhtWw/Sr8HGxga7tv4KZBn/Fqzb1xMhCALOnTxc4DK6ALmjSYJKpUJyYhxSEk/D0dERdzRJBgFS2G3oAmT29Imi5fIGSH6+4umOuT9PkXxiTQtXlvHBAJHf5JBaxFL7+GJ8UAaI4mCAmEBBAaLz3MnDmDdrKvr2+gCOjo5407eDPkLSrv2JQZ/7o/7LdVGunAvUajVsbGwQOnuafn1BELAhbJlom+XKuWDV0lAgq+AAuXwhFn16vo+X6rjBxcUZarUagiAgckt4gRNJXYAgKx3v+3XDuDEjETJ6BD7o0R3ISjcIkMJuQxcgR/ZHim4nb4A8SL+GEd8OgadHA7i6loNarYatrS1GfDtE8sk1tWx4PE1lfFjl5JBa3FL12JI4PhggypIBIh8YICZQWIDk9vC+HRAEAQd+3wJkpaNL5zfQ0qsZIreE4/ypI7h0/gReeKESZk2boF9HEARs+XW1aDuuruWwYvFcIKvgAPH0aIC33uiIfTsjkHA6BudPxrCrawAAIABJREFUHcl3W7nNHSA7Itahjltt1HGrrQ+KvAFS2G3oAuT0sSjR7eQNkK++/BR1X6qDiPWrEB97CJfOn0DTJo0Q8M0gySfZVGHhUQIBInU8WMUEkUqqVT9GGB+0iDJA5AMDxASKEiB/p16CIAj6t1g5O6uxetl8/fXXL56FIAhFCpCjB3ZCEASk37iovz79xkUIgoBDe7frL9PFj7EB8uRBGmpUr4Ya1avhyYM0IEscIMbchrEB0qihJ8b/EKz/9z93UuDqWo4BIjNL6sXA7BMCC0/e5Kzkk0NKS1LGBy2GDBD5YLUBotVqERQUhOHDh0Or1ZbIbRQUIIO/GIDxPwTjyP5IpCSexh8Hf8c7Xd5E5cov6GOhWdPGeNO3AxJOx+BY9G681tYHTk5ORQqQG5fPwcbGBiuXzMPt64n4504Kch7eRqVKFfFxn49w6fwJ7N8VgVdbNC9SgCArXf/bDrp/5w4QY27D2ADp0b0rmjVtjNPHonDm+EF0f6czXFycGSAysiReBEpkQlACkxypI4LxQWkuZRAdjA9lywCRD7INkBs3bqBfv36oWLEinJyc0LRpU5w8eVJ/fWhoKOrUqQOVSgUvLy8cOnRItP7q1asRFhaGiIgILF26VHSdv78/BEHA5MmTRZdv2bIFgmD8f5KCAmTTuhXo+vYbqF6tKhwcHFCjejV80KM74mMP6ZeJ++MAWno1g0qlQv2X62Lj2uVwq12rSAGCrHSM/yEY1apVgY2NjT4Q9kZuhqdHA6hUKjRp3BAH92wtcoDkNe9bsAq7DWMDJDkxDh1fbwcnJyfUerEm5s2aitdfa8MAkYEl8eSvlPDIrdQxwfigpVYZhAbjw7pkgMgHWQbI3bt34ebmhgEDBuD48eNITk7Gvn37cPnyZQDA+vXrYW9vjyVLliAhIQEBAQFQq9W4du2afhsrV65EeHg4Nm7ciMWLF4u27+/vD0dHR5QvXx53797VX26uAKFU6ZrzCb9EJwMWmghJHRWMD1pqlEFgMD6sVwaIfJBlgHz33Xdo165dgdd7e3tj8ODBoss8PDwQHBys/3d2djYCAgIQGBiI7Oxs0bL+/v7o1q0bPDw8MGLECP3lDBBa2jXXk3yJTwQkmBhJHReMD2q1yiAsGB+lQwaIfJBlgHh6eiIwMBAffvghKleujGbNmunPYmi1WtjZ2SEiIkK0zrBhw9C+fXujtu/v7w8/Pz9ERETA0dERGo0GAAOElm5NfWK3yCRAogmS1HHB+KBWqQyiguFRumSAyAdZBohKpYJKpcKoUaMQFxeHhQsXwtHREatWrUJqaioEQcDRo0dF60ycOBENGjQwavu6AAEAHx8fDBw4EEDhAZKdnY3MzEy9Go2GAUKtQlOe0K01OnIrdWAwPqhVKYOoYHyUPpH17At2GCDyQJYBYm9vj9atW4suGzp0KHx8fPQBEhMTI7p+woQJcHd3N2r7uQMkOjoadnZ2uHDhQqEBEhISAkEQDGSAUCVb3Cdza4+O3EodGQwPahXKICgYHqXH/F7vGCDyQZYBUrt2bXz22Weiy+bPn48aNWqY9S1YOrp27Qo/Pz+eAaGlSlmFh9QTo+codWgwPqjilUFQMDqsW2Nf9xgg8kGWAdKnTx+DD6EHBgbqz4p4e3vjq6++El3v6ekp+hD688gbIPHx8bC1tcWIESPM8hmQrHs34P9xbzRq6Ak7O7sCv9523qyp8HCvD0dHRzSoXw+rloYaLLNp3Qp4ejSAg4MDPD0aIGL9Kv11/96/hZFBQ9GooSfKli2L6tWqon/fnki9ck7yyS2Vt7IID6knRUYodWgwPKxggiv1fxveLwwPK9LU1z4GiHyQZYCcOHECZcqUwcSJE3Hp0iWsXbsWZcuWRVhYGID/voZ32bJlSEhIQGBgINRqNVJSUozaft4AAYD+/fvD0dHRLAHyIP0aBn8xAItDf0bnNzvlGyDzf5kGFxdnrF+9BFcSTiJ81WI4O6uxbVOYfpmYqF2ws7PDpPFj8OeZPzBp/BiUKVMGx6J3A1npyPjrKt7o9Dp+XbMUiWf/wB8Hf0erV1ughVdTySe4VJ4W90m/NE7EpI4NBod1TG6t4ViwxvtF6ok0NT0miiMDRD7IMkAAYPv27WjUqBFUKhU8PDwMfssjNDQUbm5ucHBwgJeXF6Kjo43edn4BkpKSApVKZfZvwSroB/5at3oV/xf4jeiygG8GoW3rVvp/9/zAD2+/5StapvObndD7o/cKvL0Th/dAEARcSzoj+WSXykuLx4fUEyETZHTIVBlMXBkmyr5vpJ50W6NSv7YVRQaIfJBtgCgBUwLEq3kTjAkeLros+P8CYG9vj3/v3wKy0lHrxZr4eepPomV+nvoTatd6scDb2xu5GTY2NvxcChVZ4uEh9eTHzDI6ZKAMJquyUOr7wUruI6kn6UpX6tcwc8kAkQ8MEBMwJUBGjQhEtWpVcPLoPjx9dAexR/aiSpXKEAQBN6+eB7LSYW9vj7UrForWW7tiIRwcHPK9rax7N9DCqyn69f5Q8oOcykfGR9FleHAiK2t5Xxml1JN2JSr161VJywCRDwwQEzAlQB7d1eDTT/qiTJkysLOzQ43q1TAyaCgEQUDatT+BrGcBsm7lItF6YcsXQKVSGWzv3/u34NetC5o3a8yzH1RvicaH1JPWEpTBwUmsYi3l94fUE3ilKPVrk1QyQOQDA8QETAkQnf/evwXNpXg8eZCm/2B6zsPbQJbxb8H69/4t9OjeFU0aN0T6jYuSH+BUHjI+pJfh8T9lMDGl1qvUk3k5KvXrj1xlgMgHBogJmCNActu+XWv06fm+/t89P/BDl85viJZ5+y1f0YfQdfHR8BUP3L6eKPnBTeUj44NKogwmpNT6lXqCLwelfo1RokoNkOjoaHTr1g3Vq1eHIAjYsmWLwTIJCQno3r07ypUrB2dnZ7Rq1QrXrl2TYG+Nw2oDRKvVIigoCMOHD4dWqy2R23hegFyIO4rTx6LQ/Z3O6NC+LU4fi8LpY1H665Pij2HN8vm4eO44jh/ag14f9kDFihWQnBinX+bogZ2ws7PDlJ9+wJ9n/sCUn34QfQ3v43/+wrvd3saLNWvgzPGDuJV8Qa8286bkBzqVRoYHtagymIxS61fqyT4jwzpUaoDs3LkTo0ePxubNm/MNkMuXL6NixYoYMWIE4uLicOXKFezYsQNpaWkS7XHhyDJA5s+fj8aNG8PFxQUuLi7w8fHBzp07RcuEhoaiTp06UKlU8PLywqFDh0TXr169GmFhYYiIiMDSpUtF1/n7+0MQBEyePFl0eWG/hJ6X5wWIW+1aEATBQN31Cadj0KxpYzg5OaFcORf4deuCxLN/GGxn49rlcG/wMuzt7eHhXh+bw1fqr0tOjMv3NgRBQNTu3yQ/0KnlZXjQElUGE1Fq/Uo96WdkWK9KDZDc5BcgvXr1wscffyzRHhUPWQbItm3bEBkZiaSkJCQlJeH777+Hvb09zp8/D+C/HyJcsmQJEhISEBAQALVaLTrVtHLlSoSHh2Pjxo0GvyHi7+8PR0dHlC9fHnfv3tVfbs4AodTSShUe/LC2lSuDCSm1XqWe/DM2SpfmDJCsrCxkZmYW24yMDIPLsrOzC73dvAGSk5MDZ2dnjB8/Hm+99RYqV64Mb2/vfN+mJSdkGSD5UaFCBf2ZDG9vbwwePFh0vYeHB4KDg/X/zs7ORkBAAAIDAw3uUH9/f3Tr1g0eHh4YMWKE/nIGCFWq1hIejBGZKIOJKbUupZ74MzQosswXIFlZWXAu4B0oxurs7GxwWUhISKG3nTdAbt26BUEQULZsWfz88884ffo0Jk+eDBsbGxw8eNCkcZYksg+QJ0+eIDw8HA4ODrhw4QK0Wi3s7OwQEREhWm7YsGFo3769UdvU/RJ6REQEHB0dodFoADBAqDI1S3jILDoYIowOqhylnuzLSalfD+jzNVeA6OZ/3woCgovht/8LDo1GY/IZkNTUVAiCgD59+oiW6969O3r37m3SOEsS2QZIfHw81Go17Ozs4OrqisjISAD//Yc+evSoaPmJEyeiQYMGRm1bFyAA4OPjg4EDBwJggFBlaVJ4mDk4rr7eEFdfb8gQUZoymLyWZoszwZXb/pR2pX4doEXT3AESLAgIKYbB/wuQ4uxH3gDRarUoU6YMfvrpJ9FyI0eORJs2bUwaZ0ki2wDRarW4dOkSYmNjERwcjBdeeAEXLlzQB0hMTIxo+QkTJsDd3d2obecOkOjoaNjZ2eHChQuFBkh2draoVDUaDQOEWtxiT1DMHBtFlREiA2Uw6bZmpZ4MU8YGfb7WGCAA0Lp1a4MPoffo0cPgrIickG2A5MXX1xdffvmlWd+CpaNr167w8/MrNEBCQkLyfR8fA4RaQnOHR0nGhiWiRPLJvNyVwYTc2pR6AkwZGtQ0lRog//zzD06fPo3Tp09DEAT9Zz10X74UEREBe3t7LF68GJcuXcLcuXNhZ/f/7J15XFT1/v9nBmURCbUMd8xuAi1qaLheTO16cyn7db1tpriUF28lqKmgFmqglqmVYeYWKom5QJa7XhEUAhcQVBQ3UKRCTcGNGRdevz/8zshhWA6cGc45M6/X4/F8PHRmPuec98z5nHk/OXNmHLBv3z5JdVozqhGQ3r17IyAgAMCDi9DHjBkjuN/Hx0dwEXplKSsgmZmZ0Ol0mDhxIs+AEMUh5g1TrHhYSja2O9aplNoQEdkbfKWggMbcVpC78SW1j9zHd1K7qFVA4uPjy/0DuLEvBoDly5fjb3/7G5ydndG+fXv8/PPPkmq0dhQpIKGhoUhMTEROTg4yMzMxZcoU6HQ67Ny5E8DDr+Fdvnw5srKyEBwcDFdXV+Tm5opaflkBAYChQ4fC2dmZ14AQxSDmzVOKeFhKNsRgDQmRvfGnWKgWuZteUrvIfSwnykGtAmKLUaSAjBw5Ep6ennB0dETjxo3Rp08fk3wYExkZaXqMr68vEhISRC+/PAHJzc2Fk5MTBYQoArFvrNaQD0sIR00kxGYFRAENt70id+NLag+5j9lEHVBAlBNFCohaQgEh1kLMG265TZcE+aipWJQ+qNaWgFAgiNwNL6l95D4uE/VDAVFOKCASQgEh1kDsm3FV8lGegFj6jEfZg2ptCAilwnaRu8El8iP38ZfYNhQQ5YQCIiEUEGINxLxJl9vA1eDsh9SPVVlKQKwiHwpoqO0ZuRtZomzkPs4S+4QCopxQQCSEAkKsgZg3b6UIiKU+gkXxUC5yN6rENpD7uEoIiikgSgoFREIoIMQaiHkzt5SAWPOic8oHxYEQuY+nhJSGAqKcUEAkhAJCrIHYN/aqBKS2LkKneFASCCmN3MdQQiqCAqKcWExARowYgevXr5vdfvPmTYwYMcJSq7F4DAYDxo8fjwkTJsBgMFRrLAWEWAsxb/JizoJUV0Is8bsg9iIdcjd5hMiN3MdJQqoLBUQ5sZiA6HQ6FBQUmN1++fJlODg4WGo1NUpkZCRat24NJycn+Pr6IjEx0XTfqlWrEB0djdjYWCxbtqxay6WAEGsipgGosEGuoGmvqPGXIiRSLy6XUzrkbuAIUTJyHwMJsTQUEOVEsoAUFRWhsLAQWq0WZ86cQVFRkYmrV69i5cqVaNq0qSW2tUYx/mr60qVLkZWVhaCgILi6uuL8+fMAgKioKMTExGD9+vVYsmRJtZZNASG1gZhGoboiUpmMWJPaEg25GzdClI7cxzVC5IACopxIFhCtVgudTlchDg4OCA8Pt8S21ih+fn4IDAwU3Obt7Y2QkBAAgF6vR1BQEIKDg6HX66u1bAoIqW3ENBZVNuiW+B0NS0DJIHaA3McMQshDKCDKiWQB2bt3L+Lj46HVahEbG4u9e/eaSE5ORn5+viW2s0YxGAxwcHBAbGys4PaxY8fC399f8vIpIERuqtMIyX3NBKWCqA255zchxLJQQJQTi10Dkpubi/v371tqcRZJfn4+NBoNkpKSBLdHRESgbdu21V6eXq8XfMQsLy8PGo0GEeGfYd6XcytlTXSU2URYEx1V5bh5X85FcsIuwTh94e+ixs37ci7yc7IEY7OPHhQ1buE3X5lt746tm0SN/SVuvdnY7xdHihqbeThJMO7yxdOia71++bxg7KHf9ooaF7Viqdn2bly3RtTY+F1bzcaK3d6c7COCcTnZR0SPLbvO+F1bH9w3d3albFj9nVmTFfX915WPmzMT8+bMxMHYeQJZKExaaLqvXEot49Lx7YJ1ZiSsr3Jb582dje+/nWe2vb+sXSJq7I7YFWbN5MJvvhL1/GYfPSh4fvNzskS/NvrC3wVjkxN2iRpX42PE3NlI2vajoNbinHhRz9G8ubNx8cgWwdiTyXGixi1c8IXZa7MjdoWosb+sXWI29vtv54kam5GwXjDu0vHt4mrlMULUuI3r1piNjVqxVNTYQ7/tFYy7fvm86O29fPG0YGzm4SRR475fHGm2vb/ErRc1dsfWTWZjbfIY8SX7CON9EeGfUUAUEot/De+tW7dw4sQJZGRkCJAjRgFJTk4W3B4eHg4vL69qLy8sLAya/9tpShMSEoLp06dXyrIl35lNpmVLvqty3PTp0xG/a4vZgUPMuOnTp+PCmaOCscfSU0SNmzUrwmx7N8WuEzV2Xczqct9wxYw9nJIgGFdwIVt0rUUFuWYHdTHjIhd+Y7a9q6OWixq7fXOc2Vix23v6+GHBuNPHD4seW3ad2zfHiRq3auk3Zo1f5FfiXpuyTW5htrjnd/r06fjz6DbB2EP/Wytq3Ly5s83+Er0uZrWosZti15k9T7NmRYgaeyw9RTDuwpmjomst21zE79oiapw9HiNKv7Y8RpgjxzFiddRys7GRC78RNbZsk1tUkCt6ewsuZAvGHk5JEDWuPNniMcIctR4jLN1HhISEUEAUEosJyKVLlzBgwIAKrwWRI5b+CBbPgPAMSFn4101x28u/blY9jscIHiPKwmNE1eN4jOAxoiw8A6KOWExA3nnnHXTr1g0HDhyAq6srdu7cidWrV8PLywubN2+21GqqHT8/P4wZM0Zwm4+Pj+kidCnhNSCEEEIIIeqA14AoJxYTkCZNmiA1NRUA4ObmhuzsbADApk2b0L17d0utptoxfg3v8uXLkZWVheDgYLi6uiI3N1fysikghBBCCCHqgAKinFhMQNzc3JCTkwMA8PT0xP79+wEA586dg4uLi6VWU6NERkbC09MTjo6O8PX1RUJCgkWWSwEhhBBCCFEHFBDlxGIC0qlTJ2zfvh0AMGjQIAwdOhQXL17EpEmT0KZNG0utRlGhgBBCCCGEqAMKiHJiMQGJjo7GDz/8AABIS0tD48aNodVq4eTkhLVr11pqNYoKBYQQQgghRB1QQJQTi38NrzG3bt3C4cOHcfnyZWutQvZQQAghhBBC1AEFRDmRJCDjxo0TjS2GAkIIIYQQog4oIMqJJAF58cUXRdGrVy9Lba+iQgEhhBBCCFEHFBDlxGofwVJCDAYDxo8fjwkTJsBgMFh8+RQQQgghhBB1QAFRThQrIIsWLcJzzz0HNzc3uLm5oUuXLti6davgMZGRkWjdujWcnJzg6+uLxMREwf2rVq1CdHQ0YmNjsWzZMsF9BQUFGD16NFq2bAlHR0d4eHigb9++SE5OFr2NFBBCCCGEEHVAAVFOFCsgv/zyC7Zs2YLs7GxkZ2djypQpqFu3Lo4dOwbg4Q8MLl26FFlZWQgKCoKrqyvOnz9vWkZUVBRiYmKwfv16LFmyRLD8Hj16oHPnztizZw9yc3ORmpqKWbNmVetX2ykghBBCCCHqgAKinChWQMpLw4YNTWcy/Pz8EBgYKLjf29sbISEhpv/r9XoEBQUhODgYer3edPu1a9eg0Wiwd+9eSdtDASGEEEIIUQcUEOVEFQJy7949xMTEwNHREcePH4fBYICDgwNiY2MFjxs7diz8/f2rXN7du3dRv359MzGpbigghBBCCCHqgAKinChaQDIzM+Hq6goHBwe4u7tjy5YtAID8/HxoNBokJSUJHh8REYG2bduKWvaGDRvQsGFDODs7o1u3bggNDUVGRkalY/R6PYqKikzk5eVRQAghhBBCVAAFRDlRtIAYDAacPn0aBw8eREhICB577DEcP37cJCBlLxgPDw+Hl5eX6OUXFxdj586dmDFjBrp27QoHBwfTr7mXl7CwMGj+b6cpDQWEEEIIIUTZUECUE0ULSNn06dMHo0ePlvwRrIoyatQotGrVqsL7eQaEEEIIIUSdUECUE1UJSO/evREQEADgwUXoY8aMEdzv4+MjuAi9upk3bx4effRR0Y/nNSCEEEIIIeqAAqKcKFZAQkNDkZiYiJycHGRmZmLKlCnQ6XTYuXMngIdfw7t8+XJkZWUhODgYrq6uyM3NrXLZV65cQa9evbB69WpkZGTg3LlzWLduHTw8PDBy5EjR20gBIYQQQghRBxQQ5USxAjJy5Eh4enrC0dERjRs3Rp8+fUzyYUxkZKTpMb6+vkhISBC1bL1ej5CQEPj6+sLd3R316tWDl5cXpk2bhtu3b4veRgoIIYQQQog6oIAoJ4oVEDWEAkIIIYQQog4oIMoJBURCKCCEEEIIIeqAAqKcUEAkhAJCCCGEEKIOKCDKCQVEQigghBBCCCHqgAKinFBAJIQCQgghhBCiDiggyolNC4jBYMD48eMxYcIEGAwGiy+fAkIIIYQQog7UKiAJCQkYOHAgmjZtCo1Gg7i4uAofO3r0aGg0GixYsEBSjdaOogXk4sWLGDJkCBo1agQXFxe0b98ehw4dMt0fGRmJ1q1bw8nJCb6+vkhMTBSMX7VqFaKjoxEbG4tly5YJ7isoKMDo0aPRsmVLODo6wsPDA3379kVycrLo7aOAEEIIIYSoA7UKyNatWzF16lRs3LixUgGJi4tD+/bt0axZMwpITXP16lV4enpi+PDhSE1NRU5ODnbv3o0zZ84AePhDhEuXLkVWVhaCgoLg6uqK8+fPm5YRFRWFmJgYrF+/HkuWLBEsv0ePHujcuTP27NmD3NxcpKamYtasWdi8ebPobaSAEEIIIYSoA7UKSOlUJCAXL15E8+bNcezYMXh6elJAaprJkyejR48eFd7v5+eHwMBAwW3e3t4ICQkx/V+v1yMoKAjBwcHQ6/Wm269duwaNRoO9e/dK2kYKCCGEEEKIOlCagOTl5aGoqMhE6V61opQnIPfv30evXr3w1VdfAQAFREp8fHwQHByMwYMHo3HjxujQoYPpLIbBYICDgwNiY2MFY8aOHQt/f/8ql3337l3Ur1/fTEyqGwoIIYQQQog6sLSAbKzrgO2OdarNxroO0PyfhJQmLCysynWXJyCzZs3CP/7xD5SUlACggEiKk5MTnJycEBoairS0NCxevBjOzs5YuXIl8vPzodFokJSUJBgTERGBtm3bilr+hg0b0LBhQzg7O6Nbt24IDQ1FRkZGpWP0er3AVPPy8igghBBCCCEqQGkCYokzIIcOHYKHhwfy8/NNt1FAJKRu3bro2rWr4LaPPvoIXbp0MQlI2QvGw8PD4eXlJXodxcXF2LlzJ2bMmIGuXbvCwcEBP/zwQ4WPDwsLK9dYKSCEEEIIIcpGaQJiiWtAFixYAK1WCwcHBxMajQY6nQ6enp6S6rRmFCsgrVq1wqhRowS3LVq0CM2aNZP8EayKMmrUKLRq1arC+3kGhBBCCCFEndiigFy5cgVHjx4V0KxZM0yePBknT56UVKc1o1gBefvtt80uQg8ODjadFfHz88OYMWME9/v4+AguQq9u5s2bh0cffVT043kNCCGEEEKIOlCrgNy4cQPp6elIT0+HRqPB/PnzkZ6eLvjm19LhR7Ak5MCBA6hTpw4iIiJw+vRp/Pjjj6hXrx6io6MBPPwa3uXLlyMrKwvBwcFwdXVFbm5ulcu+cuUKevXqhdWrVyMjIwPnzp3DunXr4OHhgZEjR4reRgoIIYQQQog6UKuAxMfHl3sJQEBAQLmPp4BIzK+//opnn30WTk5O8Pb2Nvstj8jISHh6esLR0RG+vr5ISEgQtVy9Xo+QkBD4+vrC3d0d9erVg5eXF6ZNm4bbt2+L3j4KCCGEEEKIOlCrgNhiFC0gSg8FhBBCCCFEHVBAlBMKiIRQQAghhBBC1AEFRDmhgEgIBYQQQgghRB1QQJQTCoiEUEAIIYQQQtQBBUQ5oYBICAWEEEIIIUQdUECUEwqIhFBACCGEEELUAQVEOaGASAgFhBBCCCFEHVBAlBMKiIRQQAghhBBC1AEFRDmhgEgIBYQQQgghRB1QQJQTCoiEUEAIIYQQQtQBBUQ5oYBISGFhITQaDfLOZKKoIIcQQgghhCiUvDOZ0Gg0KCwslNT/UUCkhwIiIXl5edBoNIQQQgghRCXk5eVJ6v8oINJDAZGQ+/fvIy8vD4WFhSgqKrIKRsnJy8uz2jrkgHWpB1urydbqYV3qgzWpB9alHsTUVFhYiLy8PNy/f19S/1dURAGRGgqIwmPcyW1tJ2Vd6omt1WRr9RjDutQT1qSesC71pDZrooBIDwVE4bHFgwTAutQUW6vJ1uoxhnWpJ6xJPWFd6gkFRF2hgCg8tniQAFiXmmJrNdlaPcawLvWENaknrEs9oYCoKxQQhUev1yMsLAx6vV7uTbFoWJd6Yms12Vo9xrAu9YQ1qSesSz2pzZooINJDAWEYhmEYhmEYkaGASA8FhGEYhmEYhmFEhgIiPRQQhmEYhmEYhhEZCoj0UEAYhmEYhmEYRmQoINJDAWEYhmEYhmEYkaGASA8FRAEpKCjA5cuX5d4Mi+fChQuIiopCUlKS3Jti0RQUFNjcQePy5cu4fv263Jth0djivOKcUk84p9QTziv1RCnzigIiPRQQGVJSUoL9+/djxIgRaNasGZo3b45+/frh22+/lXvTLJKDBw+ic+fOqF+/Ptq3b4/vvvtO9V/1d/XqVYSFhaFZs2bw8PDAG2+8gejoaABRTKtDAAAgAElEQVQPXk81Ji0tDYGBgWjZsiXatGmDf/3rX1izZg0AddZky/OKc0od4ZxSVziv1BElzisKiPRQQGTI2bNn8dZbb2H48OHYsmULMjIyMGnSJOh0OmRmZsq9eZJSUFCAl19+GcHBwfjzzz8BANevX1ftge/+/fsAgIULF+KFF17Ar7/+iuPHj2PixIlwd3fH//73P5m3sHoxvg5nz57FP/7xD7z77rv4+eefkZKSgiFDhsDV1RWnTp2SeStrFludV5xTyg7nlDrDeaXsKH1eUUCkhwJipdy4cQMLFixA586d0a9fP0RFReHevXsAgDt37iA+Pl6w492/fx9arRbx8fEybbG4lFeX8cAHANu2bUObNm1gMBhw//597N+/H3l5eTJusbhU9nrduHEDTZo0wdy5cwVjOnTogFdeeQVXrlyRY5OrzPnz57FgwQK8+eab2LJlC4CHB/WbN2/iww8/xIULFwRjXF1dsXbt2lrfVrGxxXnFOfUwnFO1H1ucUwDnVelwXlk+FBDpoYBYKV988QXatWuHmTNnYvr06dBqtQgPD8etW7fKffzs2bMxdOhQXLt2rZa3tHqpqK6bN28CAIYOHYr33nsPX3zxBVq1aoWnnnoKvr6+mDlzpunUthL/wlRZXXfu3IGbmxu2bdsGALh79y4AoFevXnBzc8P27dsBKKuujIwM9O7dG506dYJWq8WcOXMEb77l5a+//kLr1q3xww8/AFBWPcbY4rzinOKckjO2OKcAziuA88qaoYBIDwWkBqlqZ7906RIaNGiAr776ynTbN998g6effhrr168HANy7dw83b97EJ598Aq1WC2dnZ/z973/HnDlzrLrtlUVKXcbPYwYGBqJBgwbo27cvtmzZgj///BPTp09H27Zt8cUXXwBAlQcXS6emdfn4+GDDhg0AgP79+6NTp07IyMgAAKxduxbdunVDhw4dMGXKFAC1W1dVNZ04cQKff/458vLyMHDgQLzzzju4dOlSucu5c+cOAGDFihXw9vY2fRxBaVHrvKosap1TVUWNc6qqcE6pY04BnFecV9YPBUR6KCDVSFpaGo4cOVLl437++We0a9cOycnJptvy8vLw2muv4ZVXXgHwYDLdvXsXBw4cwIEDB3D27FksXboUjRs3FhxcaiOWqGvAgAEAgJ9++glarRZvv/22YOwHH3yAnj17WnS7q4rUugYNGmSq68CBA3jppZfg4eEBnU6H5s2b49tvv0Xv3r0RFBRktRrKRmxNpd9gFixYgA4dOuDw4cMAypeX4uJidO/eHWFhYRbbVrE5ePAgtm/fDoPBUOnj1DSvLFGTEueU1LqUOKfE1qSmOXX8+HFMnToV586dq/RxappTgGXqUuK8klqXEueV2JrUNK9KhwIiPRSQKnLw4EG8++67cHd3R8uWLfH888/jo48+Mn1WtPTkMZ7u3LVrF1q2bInExETTfffu3cP8+fPxyCOPmG4rPbmM/37ttdfwxhtvWP30trXqys/Ph4ODAyZNmiRYxueffw5/f39cvHhRlXUBDw44u3btElz45u3tjZkzZyqmptL7lPH2jIwMNG/eHD/99JPZso2PX7BgAZ588sla+1hFQkICXn/9dTzyyCNo3rw52rVrh1deeQX79u0DANNnmgH1zCtr1ST3nLLmayXXnDLW5O7uXmVNaplTwMPnf9CgQaaPs5TeprKPU/qcKru9lqxL7nlVenst/XrJNa9Kb2tVNalpXpUXCoj0UEBKpaioyPT5UODB901PmDABb7zxBpKTk3H9+nV8++23aNeuHUJCQgA8mGzGCWfMzZs3UbduXcTExAhu37lzJxo0aIBjx46Vu/7bt2/j6aefxtChQ1VZl/GUr7+/P/r06YMzZ86YHtO/f38MHDjQop/VlPv12r9/Pzw8PEwHS0vUVlVNN27cEFVT2Xh7e+OTTz4p9ysmT58+jebNm5s+mgA8eFOz1NdRlq7J+EazePFijBgxAqmpqTAYDNi9ezd69+6N119/vcKalDSvaqsmOeeUHK+VtedUeTXduXNHVE1lo5Q5ZYzxuYqPj8dLL72Ef/3rX+jWrRuAh3UreU4BtVeX3O9V1qpLzveqmtZUNnLOq+qEAiI9di8gxcXF+Oqrr9CqVSs0adIEb731Fn799VcAD76mb/369cjKyhKM+e9//4vBgwebLSs9PR1xcXEAgHbt2uG///2vYOfat28fnnvuOWzcuBHAg89zHjp0CLdu3UJGRgaCgoLw4osvmk4/qq0u4zdS7NixAx07doSfnx+2bduGGTNmoGvXrqYL4NRWl/H1unHjBk6cOGF63QYOHIihQ4fi7t27kj5TW7omDw8P0TX961//MltWWloafv31V9Mbg/FgP2TIELzyyiuCb3kxvllMmDAB/fr1w8mTJzFnzhy88MILaNu2remvwVJrMr5OmzdvNq33zz//RH5+vmDMv//9b/z73/82W5ZS5pUcNck1p2rrtarNOVXTmtQwp0o/V/PmzcN7772H7du3w9HRsdzmTClzSq665J5X1n695JhX1a1JKfOqpqGASI9dCkhJSYlph961axeefPJJLF26FPv27cMbb7wBV1dXHD16tNxxANC+fXtMnz7ddPvHH38MR0dHPPLIIxg7diwAIDw8HM8//zz2799vetyGDRvQvHlznDhxAgCQlZWFbt26oU2bNqhXrx4GDBiAHTt2qLKuFi1aCJrktLQ0/Oc//0GbNm3QrVs3REdHCz7WoKa6jK/XtWvXEBoaipYtW6JevXp44403cPLkScXV9PHHH5u+btH4nK9cuRLe3t5ISUkB8OAvmACQm5sLrVYLrVYLBwcHPP/885g+fXqFf0mzRk2XL1/GwoUL8fe//930XAMP3mzknldy1qTEOWWpupQ0p8TUpKY59cQTT+DEiRM4deoUHB0dsXPnznJrUtt7laXqUtq8smRdSplXYmuSa15ZIhQQ6bF5ATG+ufTr1w8ffvgh0tLSTPeVlJRgwIABePXVVwWG3q5dO7z//vuCiWGcgCkpKXjqqaewd+9e0+P37NmDXbt2CXak06dPo1+/fmjXrh0yMzNx4cIFDBkyBAMGDDB9k0NJSQni4uKQmppqU3UZU5PTokqvKz09HYcOHVJFTaVz7tw5NGnSBMOGDcObb76JwYMHm5Y3ffp0HDhwoNZrAoAffvgBLVq0QIsWLfDss8/ipZdews8//wzgwZtdbc4rJddkjFxzypp1yTWnalJT6ShpTl2+fBkAEBUVhUGDBqG4uBgA0L17d9NHNf/66y8kJSVhx44dqnmvsnZdxtT2vKqNump7XkmpqXQsPa+sFQqI9Ni0gNy8eRODBg1Cjx49MG3aNIwcORKurq7YunWr6XRf69at8eWXXwKAafLOmzcPXbp0we7duwE8OLVonADDhg0zfWtGVacys7Oz0bNnTzz99NNwcnKCr6+vqG8wYl22U5fcNen1eowdOxZPPfUUtFotPD09TT/2VFJSUqPT8ZaqCXjwhvf777/j7t27OHHiBIKCgtC0adNKP6Os5NdJSTXZal1y16TEOWU8GzF27Fh89913AIDY2Fi0a9cOWq0WHh4epq/VLS9K3f9YV+3VJXdN1phX1gwFRHpsQkD279+PkJAQ045qzNSpU/H0008LTreOGjUKnTp1Mpn9iy++iBEjRgB4+FeQQ4cOoVOnTliwYAGAh6cG9+/fj8cee8x0AZuY3Lx5E0lJSTX6Rg3WpZ66lFzTxx9/jLlz5+KPP/5QZE2lk52dDZ1Oh7Nnz1a6bUp/nWqzJlutS8k1KWlOdezYEYsWLUJhYSFatWoFNzc31K1bF02aNEH37t2h0+lMH2epLErb/1iXdepSck01nVdyhAIiPaoWkD/++AOBgYHw8fGBVqvFyJEjBb/e+uabb+KNN94A8OCiLODhd38bLT44OBhPPfUUgId/Tdbr9ejatSumTp0qmKDPPvus4GvsCgoKTD+YY0k7Z13qqYs1Sa/JmHv37mHs2LFo2bJllQ0ga7LdulhT9Wsy/sDcp59+im+++QYHDx7E7du3cfHiRTz++OMW/fYj1qXOumyxJjlDAZEeVQvIlStXEB4ejv3792PatGnw8fER/DXgiy++QLNmzXD+/HnTbePGjUPDhg0xcOBAAA9OEdapU8c0zvhXMT8/P3z88cemcfPnz4eXlxeWL1+OiRMnok2bNtBqtZg3bx7rsuO6WFPNa/rrr7+wb98+pKamYsuWLRgzZgz8/PxM3/ZiyTcqW6zJVutiTdWvacKECeWu9/bt2+jYsaOpsbR0WJd66rLFmuQMBUR6VC0gJSUlpgudTp48CZ1Oh6SkJNP9V69eRevWrdGxY0e8++67eOKJJ9CrVy+8++676NmzJy5evIjr16/D09MTISEhpjecK1eu4G9/+5vplzb/+usv9O7d2/Q5xgEDBmD16tVW23FYl3rqYk3Vr+nTTz8F8OAXfGfOnAlPT080b94cb731Fnbv3i243oU12V9drKn6NRm/Ea+8s6BnzpwR/KWbddlnXbZYk5yhgEiPqgXEGONEcHNzw9dffy2YABcuXEBYWBiGDx+ORYsWAQDmzp2LDh06mL5nOjIyEk2bNsX777+PY8eO4cMPP0SXLl1w7tw5AA9OMSYmJtbKL6OyLnXWxZrE15STk2NazsWLF2v18762WBNgm3WxpprVJEdYl3rqssWa5EhtC0hCQgIGDhyIpk2bQqPRmM7UAg++EGDSpEl49tlnUa9ePTRt2hRDhw41+60jpcUmBMT4DQ39+vXDa6+9Zvr8YkV/xfr444/RpUsX0/+Li4uxZs0a9OzZE40aNULHjh1NX8UoZ1jXg6ihLtbEmuSMLdbFmtRRE8C6jFFDXbZYkxypbQHZunUrpk6dio0bN5oJSGFhIV566SX89NNPOHnyJH777Td07twZHTt2tFb5FolNCIjxc4jff/89mjRpYvqrsTF6vR4GgwHAgxexWbNmWLlypdlyLl26pKivemNd6qmLNbEmOWOLdbEmddQEsC5APXXZYk1yRM6PYJUVkPJy4MABaDQawTU9SotNCIgxf/zxB7RaLXbt2iW4fd26dRg3bhw6d+4MDw8PTJ482Wyskr+ZgXWppy7WJAxrqt3YYl2sSRil1gSwLjXVZYs11WYsJSB5eXkoKioyIeZHMcUIyK5du6DVahV9jYlNCQgAtGjRAu+//z5mzpyJwMBA5OfnIy0tDWPHjsXnn3+OU6dOyb2JNQrrUk9YkzpiizUBtlkXa1JPWJd6Yos11VaMApLR3Rvnej5TbTK6e0Oj0Zhh/OKZylKVgBQXF6Njx44YMmSIBSu2fGxCQEpKShAXF4fBgwdDq9XCwcEBTz75JKZPn46rV6/KvXk1DutST1iTOmKLNQG2WRdrUk9Yl3piizXJEUsJiKXPgNy5cweDBg3C888/r+izH4CNCMi9e/cwc+ZMvPLKK9i8eTPu3Lkj9yZZJKxLPWFN6ogt1gTYZl2sST1hXeqJLdYkRywlIJa8BuTOnTt47bXX0K5dO1y5csUSZVo1NiEgDMMwDMMwDFMbUZqAGOXjmWeewaVLlyxVplVDAWEYhmEYhmEYkaltAblx4wbS09ORnp4OjUaD+fPnIz09HefPn8fdu3fx6quvokWLFjhy5Aj++OMPE8ZvNFNiKCAMwzAMwzAMIzK1LSDx8fHlXrQeEBCAnJyccu/TaDSIj4+37hMhIRQQhmEYhmEYhhEZOT+CZSuhgDAMwzAMwzCMyFBApIcCwjAMwzAMwzAiQwGRHgoIwzAMwzAMw4gMBUR6KCAMwzAMwzAMIzIUEOmhgDAMwzAMwzCMyFBApIcCwjAMwzAMwzAiQwGRHgoIwzAMwzAMw4gMBUR6KCAMwzAMwzAMIzIUEOmhgDAMwzAMwzCMyFBApIcCwjAMwzAMwzAiQwGRHgoIwzAMwzAMw4gMBUR6KCAMwzAMwzAMIzIUEOmhgDAMwzAMwzCMyFBApIcCwjAMwzAMwzAiQwGRHgoIwzAMwzAMw4gMBUR6KCAMwzAMwzAMIzIUEOmhgDAMwzAMwzCMyFBApIcCIiH3799HXl4eCgsLUVRURAghhBBCFEphYSHy8vJw//59Sf1fUREFRGooIBKSl5cHjUZDCCGEEEJUQl5enqT+jwIiPRQQCSksLHywI5/JRFFBTrn87cknULduXZw48luFjyGEyEPhye12gdzPM7Hv/Y9UD7n3S1sm70wmNBoNCgsLJfV/FBDpoYBIiHEHLCrIAYqvmLFv92a0atkC77z5L4RPn1LuYwgh8lGSv88ukPt5Jva9/5HqIfd+acsUFeRYpPGngEgPBURCqhKQ4UPfRsjHQdi26Se0eaI1Sm5fFtz/+7lj6P/yS3B2dkZrz1b48YfF8GzVEgu+CAeKryDnZBo0Gg3SU+JNY679cRYajQbxO34Giq8gfsfP0Gg02L01Fh1928PFxQVdO7+Akxm/Cdb1WVgoGjd+DPXru2LU8CGYPGEs2rd7VvaDASFyInejwWbGvpF73yDKRO790pahgCgnFBAJqUxArl/KgaurK44d3o97Nwvg4fE49myPEzzmpd490aH9c0hJ2IHDyf9Dz793g4uLS40EpPMLHbF35yYcT0vC37t3QbcufqYx0Su+g7OzM1Z8/w2yM1Mw45PJeOQRNwoIsXvkbjTYzNg3cu8bRHnIvU/aOhQQ5YQCIiGVCciSyPno0P450/+DPvgPhrw12PT/E0d+g0ajwcH9u0y3nT52ABqNpsZnQIyP2RIXA41Gg+JrF4HiK+j8Qkd88J9Rgu3r3rUzBYTYPXI3G2xoiNz7B1EOcu+L9gAF5GE2bdpUbW7fvm2x9VNAJKQyAen8Qkd8OXuG6f8H9++Ci4sLrv1xFii+gp/XrUKdOnVw/9YlwbiGDRvUSEAuXThpekzab3ug0WhwPvsIUHwFDRq4Y+WySMF6xn0USAEhdo/cDQebGiL3/kGUgdz7ob1AAXkYrVZbLXQ6Hc6ePWux9VNAJKQiATmelgSNRgOdTgcHBwcTGo0Gi77+Aii+grifyheQBg3cTQJyPvsINBoN0n7bY7r/0oWT5QqIUWxQfAXpKfHQaDTIOZlmWuaq5YsE6wn+8D8UEGL3yN10sKkhcu8jRBnIvR/aCxSQh9FqtSgoKBD9+Pr161NAlJKKBGT82DHw79EVRw/tEzBp/Efo6NseKH74EaxDSbtN48p+BOv21Qe/M7IlLsb0mJ2bN1RbQDq/0BEfBr4n2MYe3bpQQAgptq0GUO7nknAfJJy7SoYC8jDDhw/H9evXRT8+MDAQly9fttj6bVZADAYDxo8fjwkTJsBgMFhlHeUJyJ3rf6Bx48fw3TdzzXb8U0dTodFocCR1L1D84CJ03+fbITVxJ9J+24NePXvAxcUFX82NMI3p4tcJf+/eBcfTkpCw6xf4dfKttoBEr/gOLi4uiFr6LU4dTcVnYaF45BE3wTUqhNgzcjcfbF7sG7n3H8L5ay9QQJQTxQrIxYsXMWTIEDRq1AguLi5o3749Dh06ZLo/MjISrVu3hpOTE3x9fZGYmCgYv2rVKkRHRyM2NhbLli0T3BcQEACNRoPZs2cLbo+Li4NGI/4pKU9ANqz5ATqdDn/mZpW78z/37NP4aMz7QPGDr+Ht98+X4OTkBM9WLbEm6ns8/nhjLF74penxWenJ6OLXCS4uLujQ/rkanQFB8RXM/DQEjz32KOrXd8XIgCEY+9/R6OLXSfaDASFKQu5GhE2MfSL3vkM4b+0FCohyokgBuXr1Kjw9PTF8+HCkpqYiJycHu3fvxpkzZwAAa9euRd26dbF06VJkZWUhKCgIrq6uOH/+vGkZUVFRiImJwfr167FkyRLB8gMCAuDs7IwGDRrg6tWrptstISBSyDudafaNVtbipd498e7b/5b9YECIEpG7KWEzY3/Ive8Qzld7gAIiTNlPCJ05cwZBQUHo378/Ro0aJfjDv6WjSAGZPHkyevToUeH9fn5+CAwMFNzm7e2NkJAQ0//1ej2CgoIQHBwMvV4veGxAQAAGDhwIb29vTJw40XR7bQvI/7bFYtP61Th34jCS9mxF966d0dqzFe5c/8OiE+7WXxcwb85MHDu8HyeO/IZPp3wMjUaDXVs2yn4wIESpyN2csJmxL+Tefwjnqj1AARFGp9OZLkRPT09HvXr10KFDB7z//vt44YUX4OjoiNTUVKusW5EC4uPjg+DgYAwePBiNGzdGhw4dTGcxDAYDHBwcEBsbKxgzduxY+Pv7i1p+QEAABg0ahNjYWDg7OyMvLw9A7QvI9l/W4ZmnveHi4oLHH2+M117pj9yT6RafcLev5qFPL380bNgA9erVw/MdnsPGmCjZDwSEKBm5mxQ2NfaH3PsQ4Ty1dSggwpT+JqyBAwdi8ODBKCkpMd0/YsQIvPzyy1ZZtyIFxMnJCU5OTggNDUVaWhoWL14MZ2dnrFy5Evn5+dBoNEhKShKMiYiIQNu2bUUt3yggANClSxeMHDkSQNUCotfrUVRUZCIvL8+iH8EihCgHuRsVNjX2h9z7EeH8tHUoIMKUFpAWLVpg//79gvuPHDkCDw8Pq6xbkQJSt25ddO3aVXDbRx99hC5dupgEJDk5WXB/eHg4vLy8RC2/tIAkJCTAwcEBx48fr1JAwsLCoNFozKCAEGJ7yN20sKmxT+TerwjnpS1DARFGp9Ph0qVLAABPT09kZmYK7j937hycnZ2tsm5FCkirVq0watQowW2LFi1Cs2bNLPoRLGP69++PQYMG8QwIIQQoVnYTKPdzQ+x33yOcj2qHAiKMVqtFgwYN0LBhQ9StWxc//vij4P4dO3agdevWVlm3IgXk7bffNrsIPTg42HRWxM/PD2PGjBHc7+PjI7gIvbKUFZDMzEzodDpMnDjRIteAFF+7iIB338Kzz/jAwcEBgwb2K3cifLvgc3h7PQVnZ2e0fepJrFwWafaYa3+cxX//MxJNmjwOJycneHs9JfhhwkVff4Hnnn0abm714eZWH138OmHrz2tln+SEqBm5mxo2OPaN3Psc4Zy0VSggwkRFRQlISUkR3D9jxgyMGzfOKutWpIAcOHAAderUQUREBE6fPo0ff/wR9erVQ3R0NICHX8O7fPlyZGVlITg4GK6ursjNzRW1/LICAgBDhw6Fs7OzRQTk5pXzCHx/OJZEzsc//9G7XAFZ9PUXcHOrj7WrluJs1iHErFyC+vVd8cuGaNNjDEW/o5NvB/R/+SXs/98W5J5Mx77dm00/ZIjiK/hlQzS2xMUgOzMF2ZkpmDJpHOrWrYtjh/fLPtEJUSNsbIgSkLvJJpyjtggFRDlRpIAAwK+//opnn332wV/9vb3NfssjMjISnp6ecHR0hK+vLxISEkQvuzwByc3NhZOTk8W/BSvg3bfKFZCunV/Ax8EfCG4L+uA/6N61s+n/330zF22eaF3tr+Vt2LABln33lewTnRA1wmaGKAW5m23CeWprUEAqTm5uLlJSUpCamir6D/pSolgBUUOkCIjv8+0wLWSC4LaQj4NQt25dk3D0++dLGPLWYLw/cigef7wxnnnaGxEzpuLezYJy13XvZgFiVi6Bo6MjjqclyT7RCVEjbGSIkpC7+bZn5H7tieWhgJhn/vz5aNGiBXQ6HbRaLbRaLXQ6HVq0aIEFCxZYbb0UEAmRIiChE4PRpMnjOJS0GyW3L+Pg/l14/PHG0Gg0+P3cMaD4Crza/g1OTk4YGTAEh5J2I2blEjRq1BAzPpksWFbmwUS4urrCwcEB7u6PCK4RIYRUDzYsRGnI3YjbG3K/3sR6qFVAEhISMHDgQDRt2hQajQZxcXGC+0tKShAWFoamTZvC2dkZPXv2xLFjx6pc7syZM/HII49gzpw5SE9Px++//478/Hykp6djzpw5cHd3x2effVaj56iqUEAkRIqA3L6ahxHD3kGdOnXg4OCAZk2bYNL4j6DRaFBw/gRQfAVP/a0NWrZoLjjjMW/OTDRp8rhgWYai33H62AEc3L8LIR8H4bHHHuUZEEJqCJsTojTkbsjtBblfZ2J91CogW7duxdSpU7Fx48ZyBWTOnDlwc3PDxo0bcfToUbz55pto2rQprl+/XulyW7RoYbas0omNjUWzZs1EbWN1QwGRECkCYuTO9T+QdzoT924WmC5Mv3/rElB8Bf49uqJPL3/B47f+vBYajQaGot8rXGafXv4YPWqY7BOdEEKI5ZC7QbdF5H5NSe2iVgEpnbICUlJSgiZNmmDOnDmm2/R6Pdzd3bF48eJKl+Xi4oKsrKwK7z927BhcXFyqvY1iQgGREEsISGn8e3TF22+8bvp/6MRgeLZqaRISFF/BV3Mj0LSJR6XL6f3i3xHw7luyT3RCCCGWRe6G3RaQ+zUk8qE0AcnLyxP8vpxer69y3WUF5OzZs9BoNEhLSxM87tVXX8WwYcMqXVbPnj0xZMgQ3L171+y+u3fv4p133kHPnj3FPSnVjM0KiMFgwPjx4zFhwgQYDAarrKMyATmeloT0lHi8MuCfeNG/O9JT4pGeEm+6PzszBatXLMKpo6lITdyJNwe/hkaNGiLnZJrpMRdOZaB+fVd8GPgesjNTsDl2DR5/vDHCp08xPSZ0YjASd/2KnJNpyDyYiCmTxkGn02Hn5g2yT3RCCCHWQe4mXk3I/VoR5WBpAfk9qD9uThpUbX4P6g+NRmNGWFhYlesuKyBJSUnQaDTIz88XPO79999H3759K11WZmYmmjRpgoYNG+K1117Df/7zHwQGBuK1115Do0aN0LRpU1HXktQkihSQRYsW4bnnnoObmxvc3NzQpUsXbN26VfCYyMhItG7dGk5OTvD19UViYqLg/lWrViE6OhqxsbFYtmyZ4L6AgABoNBrMnj1bcHtVv4ReNpUJiGerluXuXMb7s9KT0aH9c3BxccEjj7hh0MB+OJnxm9lykuO3obQ6L4gAACAASURBVPMLHeHk5IQ2T7Q2+xaskQFD4NmqJRwdHdG48WPo08uf8kEIIXaC3M29UpD7dSDqQGkCYokzIEYB+f333wWPe++99/DPf/6zyuVdv34dixYtwrBhw9C3b1/07dsXw4YNw3fffWfVb+lSpID88ssv2LJlC7Kzs5GdnY0pU6Y8+HG9/7Mw4w8RLl26FFlZWQgKCoKrqyvOnz9vWkZUVBRiYmKwfv16s98QCQgIgLOzMxo0aICrV6+abrekgBBCCCG1gdzNPyWDqAWlCYglrgGR8hEsOaNIASkvDRs2NJ3J8PPzQ2BgoOB+b29vhISEmP6v1+sRFBSE4OBgM6MMCAjAwIED4e3tjYkTJ5pup4AQQghRK3ILAkWDKB1bFBDjReiff/656TaDwSDqIvTy0r9/f7OzKdaI4gXk3r17iImJefDjesePw2AwwMHBAbGxsYLHjR07Fv7+/qKWafwl9NjYWDg7OyMvLw8ABYQQQohtILdEUDaIElGrgNy4cQPp6elIT0+HRqPB/PnzkZ6ebvrkj/E3O2JjY3H06FG8/fbbor6Gt7zUr18fZ8+erfa46kaxApKZmVnqx/XcsWXLFgBAfn4+NBoNkpKSBI+PiIhA27ZtRS3bKCAA0KVLF4wcORIABYQQQohtQrkgRL0CEh8fX+51xQEBAQAe/hBhkyZN4OTkBH9/fxw9erRGtdm9gBgMBpw+fRoHDx5ESEgIHnvsMRw/ftwkIMnJyYLHh4eHw8vLS9SySwtIQkICHBwccPz48SoFRK/XCy4WysvLo4AQQgixeSgWxBZQq4DUZp555hlcuHDB6utRrICUTZ8+fTB69GiLfgTLmP79+2PQoEFVCkhYWFi5BkoBIYQQQghRNhQQ5UQ1AtK7d2/TqSY/Pz+MGTNGcL+Pj4/gIvTKUlZAMjMzodPpMHHiRJ4BIYQQQgixQSggFScxMRFDhgxB165dcfHiRQAPftJi3759VlmfIgUkNDQUiYmJyMnJQWZmJqZMmfLgx/V27gTw8Gt4ly9fjqysLAQHB8PV1RW5ubmill9WQABg6NChcHZ25jUghBBCCCE2CAWk/GzYsAEuLi5477334OTkZLoGJDIyEv369bPKOhUpICNHjoSnp+f//bheY/Tp08ckH8ZERkaaHuPr64uEhATRyy9PQHJzc+Hk5EQBIaRYOd+gI/fzQAghxHaggJSfDh06YOXKlQCEF6Gnp6fDw8PDKutUpICoJRQQohbkFglKCiGEELmhgJQfFxcX5OTkABAKyNmzZ+Hk5GSVdVJAJIQCQqyJ3I29LSD3a0gIIUQ5UEDKT5s2bbBr1y4AQgFZuXIlfHx8rLJOCoiEUECkI3eDSuwXufd9QgghtQsFpPx8/vnnePrpp5GSkgI3Nzfs27cP0dHRaNy4MRYuXGiVdVJAJMTeBUTuBpKQ2kDueUYIIcQyUEAqzpQpU+Di4gKtVgutVgtnZ2dMmzbNauujgEiILQqI3M0eIWpB7rlKCCGkelBAKs+tW7dw8OBBpKam4saNG1ZdFwVEQtQoILXRmN0/vMjqyN18ElIecs9vQgghFUMBqTj37t3Dn3/+iYKCAty7d8/q67OYgIwYMQLXr183u/3mzZsYMWKEpVZj8RgMBowfPx4TJkyAwWCo1lilC4jUZqo2REKNyN3kEvUg9zGAEELIQygg5omNjUW3bt3g6OgInU4HnU4HR0dHdOvWDXFxcVZbr8UERKfToaCgwOz2y5cvw8HBwVKrqVEiIyPRunVrODk5wdfXF4mJiab7Vq1ahejoaMTGxmLZsmXVWq4SBaS6DZJFm/O148WjAJFQCnI3yaT2kPv4QAgh9gwFRJjFixfD0dERgYGBiIuLQ3JyMpKSkhAXF4fAwEA4OTlhyZIlVlm3ZAEpKipCYWEhtFotzpw5g6KiIhNXr17FypUr0bRpU0tsa41i/NX0pUuXIisrC0FBQXB1dcX58+cBAFFRUYiJicH69eur/SQrRUDENj9WFQq5UYBIUFwIBYQQQpQLBUSYJ598stI/vi9fvhxt2rSxyrolC4hWqzWdsikPBwcHhIeHW2JbaxQ/Pz8EBgYKbvP29kZISAgAQK/XIygoCMHBwdDr9dVattwCYjHpkNj8V2fSyS4qdiorlBZlIPebLyGE2DMUEGGcnZ1x8uTJCu8/ceIEnJ2drbJuyQKyd+9exMfHQ6vVIjY2Fnv37jWRnJyM/Px8S2xnjWIwGODg4IDY2FjB7WPHjoW/v7/k5cslIBYRDwuLhTWhrFBWbBG534gJIcTeoIAI07FjR4wfP77C+8ePH4+OHTtaZd0WuwYkNzcX9+/ft9TiLJL8/HxoNBokJSUJbo+IiEDbtm2rvTy9Xi/4iFleXh40Gg0iwj/DvC/nVsqa6CizibAmOqrKcfO+nIvkhF2mMSX5+1CcE495c2dXzJyZJi7+72uBdJxYNgnzwj8148tPpwj45tMQswmzeeoYs8d9+ekUfBEyScCP7w/FuZ7PCFg4fiy+CJlU7vjSHAwdLljnhclvVDnmy0+nYF74pyiMniCQh4OLJ5dba1mivphmJh4b5k8VNXbPtyFmY0s//5VxdsdXgob/7I6vRI8tKwt71swVNW7D0tlmY6MWRogaezB2nmBcYdLCB/dVti/+H5eObxc03xkJ60WN+/7beWaN+y9rl4gauyN2hdnYhQu+EDX2ZHKcYNzFI1tEjZs3dzaKc+IFY5O2/Shq3JoV35qJSU2OESi+An3h76LGzftyLvJzsgRjs48eFDVu4TdfmR3TdmzdJGrsL3HrzcZ+vzhS1NjMw0mCcZcvnhZd6/XL5wVjD/22V9S4qBVLzbZ347o1osbG79pqNlbs9uZkHxGMy8k+Inps2XXG79oqatzGdWvMxkatWCpq7KHf9grGXb98XvT2Xr54WjA283CSqHHfL440295f4taLGrtj6yazsQu/+UrU2OyjBwXj8nOyRNeqL/xdMDY5YZeocZbqI+z5GBER/hkFpFT27t0LV1dXPP300wgODsbs2bMxZ84cBAcH45lnnkH9+vUF101bMhb/Gt5bt27hxIkTyMjIECBHjAKSnJwsuD08PBxeXl7VXl5YWBg0Go0ZISEhmD59eqUsW/Kd2WRatuS7KsdNnz4d8bu2mOTDKCBixk2fPh3nd30tOONxdMkkUeNmhX1imihGiYgePUzU2B/+O8pMQL4IEbfeHW8NFEzS3Mlviq71j8mDBWP3TnlP1LhvZ31iJhGr5k4TNXbb16FmY8Vu76llEwVnWk5tWyB6bFmJ2Lbqc1HjVkXOMhv77ZefiRqbtO5Lwbhr+xeK3t4/j24TNOWH/rdW1Lh5c2ebScRPKxeJGrspZonZ2FkR4mo9tm+DYNz5tM2iay0rIHt+WSlq3NJF8822d+mi+aLGGo8RpZsLsdt74cxRwdhj6Smixs2aFWF2TNsUu07U2HUxq8ttysWMPZySIBhXcCFbdK1FBblmjZ+YcZELvzHb3tVRy0WN3b45zmys2O09ffywYNzp44dFjy27zu2b40SNWx213Gxs5MJvRI0t2+QWFeSK3t6CC9mCsYdTEkSNK0+21sWsFjV2U+w6s7GzZkWIGnssPUUw7sKZo6JrLSsg8bu2iBpniT7C3o8RISEhFJAyycnJwaRJk+Dv74+2bduibdu28Pf3x+TJk5GTk2O19VpMQC5duoQBAwZUeC2IHLH0R7DkPANSuimp8AxIOX+1vvi/rwXNsfEMSEVnEoxnMeZPHG8mEetGvm12tqMss8aPx6JBr2K7Yx1sd6xjdgakKnb/+2XBOtNf7mz2mIq2/c9J/xJM8KTQkaLOniz/ZILZwUHSGRAR4+aFf4qzyycKxp1dPlH02LIfD5P1DIgIChK+EYw9smm+8DE8A2I6A1KaNSu+FTU2aduP5R8j7Oyvm1XBMyBVj+MZEJ4BKYstHSN4BkQ5sZiAvPPOO+jWrRsOHDgAV1dX7Ny5E6tXr4aXlxc2b95sqdVUO35+fhgzZozgNh8fH9NF6FJSm9eAiPlMudhrPSqaEGWFoyqMklFTqrs+sdjltSp2dj2L3Ndv2AvWPq4RQkhtwmtAlBOLCUiTJk2QmpoKAHBzc0N2djYAYNOmTejevbulVlPtGL+Gd/ny5cjKykJwcDBcXV2Rm5sredm1JSA1lo9qCEhtioccUiKnmKhKVBQgF5QU9SN3k0Gs/74j9/YRUhMoINXLsGHD0KtXL6ss22IC4ubmZvqsmKenJ/bv3w8AOHfuHFxcXCy1mholMjISnp6ecHR0hK+vLxISEiyyXCWdAalNAbGmhFhTQJQqJIoXEwXIBMXENpG7GbEX+JoS8gAKSPUSGhqK4cOHW2XZFhOQTp06Yfv27QCAQYMGYejQobh48SImTZpktR8xkTtKEpCSfOkSIqeI1KZ4KF1EKCOUEntH7ibFVpD7deTrSZQGBUQ5sZiAREdH44cffgAApKWloXHjxtBqtXBycsLatWsttRpFpbZ/B0TMgb46ElKZiFhDSOSUDDVKCGWEQkLYxFrrvYKvI7FHKCDKicW/hteYW7du4fDhw7h8+bK1ViF75PghQjEH+EqbqxqKSE2FRC3ILRmqFhEblxEKifKQu4lRKnK/LnwtidKhgFQvFy5cwIgRI6yybEkCMm7cONHYYuT6JXQUW09EaiIlahYTuaWCIqJO5G7aCBvYmrwnqAG5n0di21BAqpcjR45Y7ac0JAnIiy++KAprXUEvd+QUkNKIOahX2VSJbDCt0VBTPCgltoTcDRyxnyZW7ueZrylRGxQQYTZt2lQpCxYsUKaAKD0GgwHjx4/HhAkTYDAYLL58pQiIETEHcdGNVDUaTDkbbwqKSqXEDsWEciI/ch+ja/NYb2/I/ZoQdUABEUar1UKn00Gr1VaI3QnIokWL8Nxzz8HNzQ1ubm7o0qULtm7dKnhMZGQkWrduDScnJ/j6+iIxMVFw/6pVqxAdHY3Y2FgsW7ZMcF9BQQFGjx6Nli1bwtHRER4eHujbty+Sk5NFb6PSBATF1XtjqlbzZOdCYkuSIrt4UEooJwpD7uO2pY/tRH2vL6kdKCDCNGvWDHFxcRXen56ebn8C8ssvv2DLli3Izs5GdnY2pkyZgrp16+LYsWMAHv7A4NKlS5GVlYWgoCC4urri/PnzpmVERUUhJiYG69evx5IlSwTL79GjBzp37ow9e/YgNzcXqampmDVrVrV+tV2JAmKkugdoa8mIXFLCa0pULiUKEAIlIXcDZ8+o7VhO1Pcak9qDAiLMK6+8gk8++aTC+48cOQKtVmuVdStWQMpLw4YNTWcy/Pz8EBgYKLjf29sbISEhpv/r9XoEBQUhODgYer3edPu1a9eg0Wiwd+9eSdujZAExUpODcbUbpBo2mbYsImoXFNkFhCJCQVEJch2nifpeZyI/FBBhEhMTsW3btgrvv3nzpuReuaKoQkDu3buHmJgYODo64vjx4zAYDHBwcEBsbKzgcWPHjoW/v3+Vy7t79y7q169vJibVjRoEpDQ1OejWlozU9lkSuUVETWIiu4RQRCgohKgAud/jSdVQQJQTRQtIZmYmXF1d4eDgAHd3d2zZsgUAkJ+fD41Gg6SkJMHjIyIi0LZtW1HL3rBhAxo2bAhnZ2d069YNoaGhyMjIqHSMXq9HUVGRiby8PFUJiJGaHlxr1PyoQEaUJiRyC4diJYQiQkEhxAaQuwewZyggyomiBcRgMOD06dM4ePAgQkJC8Nhjj+H48eMmASl7wXh4eDi8vLxEL7+4uBg7d+7EjBkz0LVrVzg4OJh+zb28hIWFQaPRmKE2ASlLTQ6gtSkjFBL5BURREkIRoaQQYgfI3RvYIhSQh/l//+//VWv977zzDgoKCiy2fkULSNn06dMHo0ePlvwRrIoyatQotGrVqsL7beUMSGXU5CBZ46ZGBTIit3woTUhkFw+KiKKRu2EjxB6Ru29QExSQh9HpdDhz5oygr62IwsJCuLm54ezZsxZbv6oEpHfv3ggICADw4CL0MWPGCO738fERXIRe3cybNw+PPvqo6Mer7RoQa4tISb5tnhmRWzgoIxQRW0LuZo0Qe0XuvkIJUEAexvgbH9XBLgQkNDQUiYmJyMnJQWZmJqZMmQKdToedO3cCePg1vMuXL0dWVhaCg4Ph6uqK3NzcKpd95coV9OrVC6tXr0ZGRgbOnTuHdevWwcPDAyNHjhS9jbYsIFJFpCTfdi5gl1sylCwhFBFCOSHENpC736CA1G727t1bbaR8cVPZKFZARo4cCU9PTzg6OqJx48bo06ePST6MiYyMND3G19cXCQkJopat1+sREhICX19fuLu7o169evDy8sK0adNw+/Zt0dtoDwJCEVGHhMgtIrKLByXEZpG7KSPEnpG796CA2G4UKyBqiD0JSK1LyGHliYjcgqF0EZFdPCghdoHcDRkh9ozcfQgFxHZCAZEQexMQioh6hIQSQhGxF+RuyAixZ+TuRygg6g0FRELsVUCkSkhJvu19c5bcwqEUAVGkhFBK7Aa5mzFC7B25exNbFZC7d+9i6tSpaN26NZydnfHEE09gxowZuH//vqQ65AwFRELsWUDUKiK1JSRyiYmc4qEaAaGU2AVyN2KEEOUJiVoFJDw8HI8++ig2b96MnJwcrF+/HvXr18dXX30lqQ45QwGREAqI+kWkNmXEWlIit3DYhIBQSmwWuRswNcDnlVgbuXsUtQvIgAEDzL6l9fXXX8e7774rqQ45Y9MCYjAYMH78eEyYMAEGg8Hiy6eAWF5ESvIlyMjhRRZrPuVu4tWK7NKgJBTQfBP7bpT5XBOlIHdvolQBycvLE/zgX0Vfczt79mx4enoiOzsbAHDkyBE8/vjjWLNmjaQ66tevj5EjRyIpKUnScmoSRQvIxYsXMWTIEDRq1AguLi5o3749Dh06ZLo/MjISrVu3hpOTE3x9fZGYmCgYv2rVKkRHRyM2NhbLli0T3FdQUIDRo0ejZcuWcHR0hIeHB/r27Yvk5GTR20cBsa6IlORb4A3USs2l3I2+EpG94SeyN/tKRO7GSw7kfs7t/fkn5SN3X2INAbm24oMaHauvrfgAGo3GjLCwsHLXV1JSgpCQEGi1WtSpUwdarRazZs2SVAPw4McIn3nmGWi1Wnh7e+PLL79EQUGB5OWKiWIF5OrVq/D09MTw4cORmpqKnJwc7N69G2fOnAHw8IcIly5diqysLAQFBcHV1RXnz583LSMqKgoxMTFYv349lixZIlh+jx490LlzZ+zZswe5ublITU3FrFmzsHnzZtHbSAGpPRExYtE3x1poCOWWAkoHMaGAZpQNsHWR+7nm60IqQ+5+RIkCIvYMSExMDFq0aIGYmBhkZmZi1apVaNSoEaKioiTVodVqUVBQgCNHjuDDDz9Eo0aN4OjoiNdffx1bt25FSUmJpOVXFsUKyOTJk9GjR48K7/fz80NgYKDgNm9vb4SEhJj+r9frERQUhODgYMGLeu3aNWg0Guzdu1fSNlJA5JWRknwrvuHK2CjKLRWUDTtBAU0om1wVHAv52hELIXcPokQBEbsdLVq0wLfffiu47bPPPoOXl5ekOowCYozBYMCaNWvQp08f6HQ6tGjRAp988omkdVQUxQqIj48PgoODMXjwYDRu3BgdOnQwncUwGAxwcHBAbGysYMzYsWPh7+9f5bLv3r2L+vXrm4lJdUMBUZaMlKbW3ijlbiIlQrGwcxTQaLKJVdHxTiHI/XyTmiF336FmAWnUqBEWLVokuG3WrFl46qmnJNWh0+kq/MhVTk4Opk2bhpYtW0paR0VRrIA4OTnByckJoaGhSEtLw+LFi+Hs7IyVK1ciPz8fGo3G7KKZiIgItG3bVtTyN2zYgIYNG8LZ2RndunVDaGgoMjIyKh2j1+sFp8ry8vIoICoREiOyvWnK3WgSUhUKaCzZqKrsuKZA5H4tSMXI3WeoWUACAgLQvHlz09fwxsbG4rHHHsOkSZMk1VH2DEh5sdbHsBQrIHXr1kXXrl0Ft3300Ufo0qWLSUDKXjAeHh5erdNRxcXF2LlzJ2bMmIGuXbvCwcEBP/zwQ4WPDwsLK/eiIQqIeoWkLHK/ecrehBIi9xxgM6q+45YKkPs1IhSQ0lRXQK5fv46goCC0atUKzs7OaNOmDaZOnSr5G16nT5+OW7duSVpGTaNYAWnVqhVGjRoluG3RokVo1qyZ5I9gVZRRo0ahVatWFd7PMyD2JyRlkftN1ITcTSqxD+Tez9l0quu4pDLkft3sCbl7CLULiC1GsQLy9ttvm12EHhwcbDor4ufnhzFjxgju9/HxEVyEXt3MmzcPjz76qOjH8xoQCkl5yP2maobcTSyxHeTel9lkquOYo2Lkfi1tFbl7BgpI5Tl16hSioqIwZ84cfP7554iKisKpU6esuk7FCsiBAwdQp04dRERE4PTp0/jxxx9Rr149REdHA3j4NbzLly9HVlYWgoOD4erqitzc3CqXfeXKFfTq1QurV69GRkYGzp07h3Xr1sHDw8PslyYrCwVEWch9gFV1syB3Y0vUidz7LZtK5R5TbAi5X19bQO7+wAgFRJjCwkK8+uqr0Gq1aNCgAdq2bYunnnoKDRo0gE6nw6BBg6y2jYoVEAD49ddf8eyzz8LJyQne3t5mv+URGRkJT09PODo6wtfXFwkJCaKWq9frERISAl9fX7i7u6NevXrw8vLCtGnTcPv2bdHbRwFRNnIfcG2qmZC70SXqQO791E4bSbmfV3tF7tddjcjdF1BAhBk6dCiee+45pKSkmN2XkpKCdu3aYdiwYVZZt6IFROmhgKgLuQ+8NtVkyN3oEvUg975q442j3M8lsd19y1rI2QdQQIRxd3cvVz6M+e233+Du7m6VdVNAJIQCok7kPvjaXPMhd4NL1IXc+6uNNYpyP4/EvvY3SyLH+z8FRBh3d3ekpqZWeH9KSgoFRImhgKgfuQ/ANtmIyN3gEvXBxlD9857Y5f4nldp+z6eACPPuu++iXbt2OHjwoNl9Bw8eRIcOHTB06FCrrJsCIiEUENtA7gOwzTclcje3RF2wCVTnPCd2vz9Kobbe7ykgwly7dg0vv/wytFotGjZsCC8vL3h7e6Nhw4bQ6XTo168frl27ZpV1U0AkhAJiG8h94LWbJkXuxpaoCzZ+6pnbhPulBaiN93sKSPk5ceIEVqxYgVmzZmHWrFlYsWIFTpw4YdV1UkAkhAJiO8h94LWrZkXuxpaoCzZ6yp/ThPuoBaiN93oKiHJCAZEQCohtIffB166aFrmbWqIu2OApdy4TWZB737MW1n6fp4BUnJMnT+KDDz5A79690adPH3zwwQdWPQtCAZEQCojtIffB166aF7mbWqIe2Ngpb/4S2ZF7H7QG1n6Pp4CUn/Xr16NOnTro0qULxo0bh3HjxqFr166oU6cO1q1bZ5V1UkAkhAJie8h98LWrBkbuppaoCzZ2ypq/RHbk3getgbXf4ykg5eeJJ57AJ598Ynb7p59+iieeeMIq66SASAgFxPaQ++BrVw2M3A0tURds7JQ1f4kikHs/tDTWfo+ngJQfFxcXnD592uz2U6dOwcXFxSrrpIBISGFhITQaDfLO/H/2zjwsqrJ/4zMgu0jqCxomuCLkgqICKplbmVv4pmlqiqkluUH0MyExzNfdTFPRxF1BXClcU1PELXBBRUUQFWVEQkhARUCW+/eH15w4LHJgZnjOOXw/13VfxZl5znluZ77Pee45Wyyy05JIMlBW/B+1RpmRy9lq81QSSbhq8LvJujYlUb8kUYj191AX0uU+XnU3FgqFAllZWRrN/+QWQAYMGIDNmzeXWb5582Z8+OGHOtkmBRANUKlUUCgUJBKJRCKRSCSJSKVSaTT/k0MACQ8P57Ru3TpYWlpi6tSp2LFjB3bs2IGpU6fCysoK69at08n2KYBoQFFREVQqFbKyspCdna0TqUOOSqXS2TZYiHxJR+RJOpKjLzl6kqMvufkhX9KTEE9ZWVlQqVQoKirSaP6XnS39AKJUKgVJT09PJ9unACJy1F9yll9SXUC+pAN5kg5y9CVHT4D8fMnNjxryJR1q0pMcAghrKICIHDkOEgD5khLkSTrI0ZccPQHy8yU3P2rIl3SgAKJ72rVrh+TkZK2siwKIyJHjIAGQLylBnqSDHH3J0RMgP19y86OGfEkHCiC6p27durh3755W1kUBROTk5eUhICAAeXl5rLuiVciXdCBP0kGOvuToCZCfL7n5UUO+pENNeqIAojkUQAiCIAiCIAhCIBRANIcCCEEQBEEQBEEIhAKI5lAAIQiCIAiCIAiBUADRHAogBEEQBEEQBCEQCiCaQwGEIAiCIAiCIAQitwCSk5Mj6H0hISF48eKFVrZJAUQEpKamau2+ymIiOTkZmzZtwtGjR1FQUMC6O1ojNTUVT548Yd0NrZKWlob09HTW3dAqVFfSgWpKGjx+/BgJCQkoLi5m3RWtkpycjKCgIISGhuLZs2esu6MVUlJS8PDhQ9bd0DqpqalQqVSsuyG7AGJgYIBu3brBz88Pf/zxh9ZCxpugAMKA4uJiXLx4EZMmTUKTJk3QqFEj9OrVC3PnzmXdNa1w+/Zt9O7dG3Xr1kWHDh2wcuVKZGRksO6WRjx//hyLFy/GO++8gwYNGmDQoEFYsWIF625pxI0bNzB9+nQ0bdoUTZo0wYABA7B69WrW3ao2VFfSgmpKGly9ehWTJ09GkyZN0LBhQ3Tr1g3Tpk1DZmYmAEg6jDx8+BBDhgyBubk5OnTogMWLF+PBgwesu1Vt8vLysGrVKtjY2KBevXro06cPZs+ezbpbGhMfHw8fHx80bdoUVlZW6NWrF3744QcUFRUx65PcAsiFCxewaNEi9O/fH+bm5jAwMICLiwtmzZqFI0eO6GSbFEBqiJKD9OPHjzFt2jSMHTsWBw8eRGJiIn766ScYGhriwIEDDHtZddS+MkvTtgAAIABJREFU1P999uwZRowYgXHjxuHx48cAgPz8fBQWFjLrY3VQ+1H3OyQkBB07dkRYWBju37+PZcuWoWHDhti8eTPLblYZta+UlBSMGjUKI0eORFhYGG7evIlvvvkGRkZG+PPPPxn3UjhUV9KpK6opaVDyqNrTp08xd+5cjBo1CuHh4UhOTsaWLVvQqFEjrFy5kmEvq47al/rzys/Ph6enJwYPHsz7Rf3Vq1dM+lcd1J7UNXXkyBF06NABISEhePz4MbZu3QpbW1v88MMPLLtZLdSfU0ZGBqZNm4b//ve/2Lt3L+7du4dFixbhrbfewsaNG5n1T24BpCSFhYX466+/4OHhgTp16kBPT08n26EAoiNevnyJNWvWwNnZGW5ubli2bBl3aLegoABRUVH4559/eG0MDQ0REhLCoruCeZMvAIiJiYGVlRWys7NRXFyMyMhI3Lhxg2GPhfEmX7m5uejUqRNmzJjB+8Vl5MiR6NKlC1JSUlh1+42oVCqsWrUK7u7uWL9+PQBw/c/JyYGfnx8SExN5bZo1a4YlS5aI9ldNqivp1BXV1GvEXlP5+fnYsGEDunbtio4dO8LX1xePHj0C8Hoicu3aNaSlpfHa2NraYsmSJSy6K5jyfJX8Xj148AANGzbEo0ePUFxcjIiICJw7d45hjyvnTZ9Vfn4+hg4dik8++QT5+flcmx9++AFNmjTR2oXDuuDRo0dYu3Yt+vfvjzlz5gD4t65yc3OxZMkSxMbG8tr07t0b06dPR25ubo33F5BnALl9+zbWrVuHzz77DI0bN0bDhg3x3//+V2c/NlAA0RFbtmyBg4MDfvzxR6xZswZ169bFl19+iaysrHLfv379egwbNky0O141FflSH44PCAiAu7s7fv75Z7Ru3Rp2dnZwdHTEjBkzuF9uxbgjrsjX06dPAQBWVlZYt24dgH/7/9lnn0GpVGLXrl0AwPRwcGkePnyI/v37w8XFBRYWFvD09HzjL3vqvjs4OHATCyl9TlRX4vu8qKakUVMHDx5EmzZtEBAQgJCQEDRt2hR9+/YtE+TV7Ny5E4MGDUJCQgIAcXoCKvalPm1x27Zt6NGjB1atWoUOHTqgTZs2aN++PUaPHo2bN28CEJ+3ijypr59q3749/P39eUdGvb29oVQquVoTU00BQFZWFgYNGoRu3brB1tYWAwcOfOOTzNXeXF1dMXPmTABsPie5BZBGjRqhQYMGGD58ONasWVMm8OkCCiA6oLCwENbW1vD39+eWhYeHo3nz5tyvZoWFhSgqKsLy5cuhVCphYmICZ2dn+Pj4MEv0lfEmX4GBgQCAOXPmwMrKCm5ubggJCUFWVhYCAwPRsWNHTJ06FYD4BkAhvsaPH482bdrg2LFjAIBDhw6hX79+aN++PcaOHQtAXL7++ecfLF68GPHx8ZgyZQoGDhzI/TJbcrAuLi7mDuMfOHAALVq0wO3bt5n0uTKorqRTV1RT0qgp4HVAmjx5Mvd3TEwMWrRogXnz5vHet2nTJiiVSpiZmaFTp04YP368aMMvULGvgIAAAMC6devQqlUrdOzYEWvWrEFOTg727NmD7t27Y8iQIQDE9f0DKvakPmowe/ZstGzZkjuN8eTJk/j444/x7rvvolevXgDE5wkAFi1ahCtXrmDRokXo3r07Ll++DKBsXanDx19//YWWLVvizJkzTPoLyC+AODo6wtDQEM7Ozvjuu+9w5MgRPH/+XKfbpABSBaKjo7F///4Kf21Vc/HiRTg4OOC3337jluXk5GD8+PFwdXXlvTc+Ph7R0dF49OgR9u/fDzs7O3h7e+uk/xWhDV9dunQBAJw7dw5KpRJ9+/bltV2yZAlsbW213vc3oQ1fXbt2BQAkJCRg9OjRePvtt6Gnp4dGjRph4cKF8PDwwMcff6xTHyUR6qkkO3fuRJcuXbjrIMrbARUWFuKTTz6Bp6en1voqlDt37mDOnDk4f/78G98ntbrShi+x1ZU2PImtpoR6KonYa+rs2bOYMmUKvvvuuzdOcJKTk+Hg4FDmSNTs2bNhb2/POw0wJSUF0dHRePLkCU6ePIkePXrA3d1dt0ZKoQ1frVu3BgBcv34dSqUS7du357XdtWsX6tSpU2N3mNOWp6KiIjx+/Bg+Pj6wsbGBnp4e/vOf/8Df3x9+fn5lfOoaob5KcvLkSXTr1g2//vorgIrD0tSpU/Hf//6XLkLXMpmZmQgPD4ePjw86d+4MY2NjODs7Y9asWTrZHgWQSrhw4QJGjBiB+vXro0mTJnB0dESPHj0QHh4OALxDneoB6+LFi+jQoQN27NjBW1dYWBiMjIzKvXuI+v9nzpyJ3r176/yUEV34evbsGYqLi/HWW2/h008/5Z2esHfvXjg4OHCH7aXkSz3Zf/XqFc6ePYukpCRu4Pvggw8wefJk3jm3LD2V9526c+cOOnfujMWLF5dZt/o9+/fvh5WVVY3eAUb97z9p0iQolcoKA4KU6qpkf7XlSwx1pW1PrGuqZF8r8ySVmjp27Bjef/99GBoaomHDhujTpw8OHjxY7o0K1Mvi4+Px/vvvY/78+QD+nfDFxMRAX18f165dK9NW7S8oKAjt2rXDnTt3dGUJgG58qU8v6dixI5ydnXlHRy9fvgxLS0vExMRIylPJz+rSpUtITk7mvuNffvklPv74Y51Pdqviq7i4uMzNNh49eoSBAwfyjvKUJioqChYWFjr9fIQgxwCi5p9//sH+/fsxbtw4ugi9psjIyMC+fftw9epVbllISAjGjBmDqKgoFBQU4OrVq3B3d4ezszOA1zux0r+UvHz5Eq1atcLixYt5O6+EhAQYGhriwoUL5W6/sLAQ7733Hj766COt7nxrytfZs2cBAJ9//jk6deqEK1eucO+ZMGEC3NzcuPO/peTrr7/+Knf7t2/fRuPGjbFmzRoA2jm0rS1PpRkwYAC++OKLcg+pZmRkoHXr1rxboBYUFGjtPuClPZX8N7569So+/fRTjB49Gu3ateNNBKRWV7ryVZN1VVOeWNZUdT2VRkw1BQDz5s2DiYkJdu/eXWG70hPBvLw89O3bF56enrx/69zcXFhYWLxxXcOGDUPXrl3x999/a+CET035Ut+UYs6cOWjWrBlOnTrFvcff3x8dOnQoczMBsXsqb13FxcVISUnh3QlLW0cNtOWrNFOmTMEHH3xQ7jVIr169QufOnXm/yL969YrJLaHlFkDCwsIwY8YMdOjQAfr6+rCyssKwYcOwevVq7poobUMBBK9Pa3FxcYGpqSkcHBy4nR/w+gKp0g/z8fHx4U6NKMm1a9ewdetWAMDQoUMxcuRI7g4VAHD//n28++673OHF9PR0REVFITs7G9evX8esWbPQs2dPRERESNKXev1XrlxB37590bJlS+zcuROLFi2Cq6srdu7cKUlf6kPeL168QEJCApKTk3Ht2jUMGzYMQ4cO5X6hrmlPnTt3LrOemJgYBAcHcwOyehLl5+eHPn364Pr16wD4vz6VPO922bJlcHFxgY2NDUJDQ3XmSU1ISAh3Qauenl65v+RLqa504asm6qqmPbGuKTU7d+7E4MGDOU/x8fFl3iOVmrp8+TJat26NkydPIi0tDfv37+fCa2muXbuGX375BQUFBfDx8UG/fv143tV3KVNfB5KRkYHo6GikpaXh+vXrmDNnDnr06ME7xU5KvtTXgSQlJeHTTz+FlZUVfvnlF+6z0sazW1h9Vi9fvkRiYiISEhIQGxuLMWPG4KOPPkJqaqrGnrTta82aNdzDOtV1FRgYCBcXF268LjkOBAUFwdHRESdPnsTKlSvh6uoKS0tL/PTTT1rxVhXkFkAsLS25wFFTd1islQGk5Bf677//Rv/+/eHj48M9Nbn0LQfVpKenY926dXB2dkZUVBS3fPbs2dDX10eDBg3g4eGBgoICbNy4EU5OTtizZw/3vlOnTsHGxgbHjx8H8Pqczn79+qFVq1YwNTVF//79ER4eXu0dL2tfJ06c4JbdvXsXs2fPhoODA1xdXbF58+Y33tlCCr6eP3+On3/+Gba2tjA1NYW7u3u1DwPr0tOkSZO4U43Uv3YdOnSI50/9S+zff/+N+vXrQ6lUok6dOujUqRPmzp1brV88quOpQ4cOiIyMxMuXL2FhYYENGzaU60lqdaVNX7qoK7F4Yl1TQj1JpaZsbGzw9ttvw9LSEi4uLmjZsiVGjBiB+/fvAwCWL1+OevXqoWHDhnB3d8fTp09x6NAhdOnShXerzWvXrqFVq1YICgoC8PoZO6NGjULr1q1Rt25d9O3bF3v27Kn2dRKsfZX8nJ88eYIVK1agc+fOcHV1xfr166t1pEosnnJzcxEcHIzmzZvDzMwMAwYMqNL1TTXpa9iwYbh79y6Af+vqwoULcHNzw/LlywGAuw4pMzMTnTt3hlKphIGBATp27Igff/xRZ7/OV4bcAggLZB9A0tPTsXr1agwYMADTpk0rs3Pbu3cv2rZtyx16v3btWrkX+B4+fBgODg5o2rQpHB0d4ezsjLVr1wJ4fU7isWPHeF+kx48fY/z48WjcuDEiIiKQkpKCadOmoUePHrxD9seOHcOlS5dk5wuo3qFesfu6e/dulSdIrDyVRKVSwdHRER999BFGjhwJFxcX7vNZsWJFlb+D2vB06tQp9O3bl/uF/JNPPsG4ceOQlpaGnJwc3LhxA0ePHpVcXenSF1D1uhK7J1Y1VR1PJRFTTakniXPnzsX//vc/JCUlISMjAzt27IC9vT1Gjx4NAIiNjUVERATPU3Z2Nnx9fWFqaordu3cjJSUFs2fPRseOHblfp4HXE8OSp//JxVd1ELun1NRU7sicFHyVJC0tDf3794eTkxNGjBgBa2trrq42b97M3SGLNXILIFeuXOHdevf333+Hu7s7/Pz8dHY9nqwDyIsXL+Du7g43Nzf4+/tjwoQJMDMzw5EjR7jzEAcNGgQvLy+sWrUKTZo0QfPmzeHm5oZVq1bx1pWVlYW0tDQUFxfj8ePHWLp0KSwsLLj0Xh6ZmZkYNmwY2rZtCxMTE7Rt2xaRkZHkqxb5Yu0JeH0f+FatWkGpVKJZs2YYPXo09u3bh+Li4mqFRG158vf3x9y5cwG8DlfdunWDUqmEhYVFGe8lEfv3T0y+yJP2PQHiram0tLQygXX79u1o0KBBhUdVgdeh1tPTEx06dICpqSlatWqF33//vco+aoMvOXoSgy/g9TUkdnZ2UCqVaN68OcaOHYsdO3ZUu650idwCSJcuXbBv3z4AwL1792BsbIxRo0ahVatW8PLy0sk2ZRFAzp07B19fXxw+fJh3uHD27Nl49913ERcXxy2bOHEiunTpgosXL3J/N2zYEEOGDMHhw4eRmJgIHx8fWFtbIzg4GED5vzi+evUKenp6FZ7fqKaoqAgxMTHVuvsO+ZKOLzF6Uu805syZg6VLl3L37Gfp6e2338bu3buRn58PNzc3KJVKGBoaonHjxvjwww+hVCqxf//+Snc2Yvv+sfZFnmrGkxhrquQ4Ud5phjExMVAqlVCpVJX2Ly4ursqe5OpLjp7E6ktdVytWrMDKlStF/+BYQH4BpF69etyPmYsXL8aHH34I4PX35Z133tHJNiUdQFJTU+Hp6QkHBwcolUpMmDABOTk53OsjR47EiBEjAIBL5Lt374aenh73ZNr169dzbUsydOhQjB49usLbxy1atAj16tXTydMiyZd0fJGn6nkCgNWrVyMwMBCXL1/m1tOiRQssW7ZMq37k7Is8kac3jRP5+fn47LPP4ODgwLsZAPmqXZ7k7IsVLALIo0ePMGbMGDRo0AAmJiZwdHTU2ilp5ubm3C21+/Xrx11n9PDhQxgbG2tlG6WRdADJyMjA/Pnzce7cOfj7+5f5gi9duhTW1ta8Owh98803qF+/PgYPHgzgdTI3MDDATz/9xEvuPj4+GDRoENLS0pCXl4fIyEhERETg8OHDmDJlCpycnLi7vWj71m/kSzq+yFP1PD158qTcbQ8ZMgS9evXSye0U5eiLPJGn0uPEqVOncPLkSRw5cgRffvklunbtiqNHjwKQ9pheU77k6EnOvlhR0wHk6dOnsLW1xfjx4xEdHY2kpCT8+eeflZ6CLZTevXtj3Lhx2L59OwwMDLjbUJ8+fVpnD7uVdAApLi7mLoaKj4+Hnp4e724PT58+RbNmzdC5c2d8/vnnaN68OXr37o3PP/8cvXr1QlJSEgCga9eu+Pjjj3m3qfvwww+5p7xmZWVhzZo1aNmyJZo2bYoRI0bg2LFjld7PmnzJ3xd5qrqnoUOHctspTUpKitaelVAbfJEn8lRynMjMzMRPP/0Ea2trNGnSBJ999hkiIiJ4twgmX7XPk5x9saKmA8isWbPg5uamMz/Xrl1Du3btUK9ePe7aOACYNm0aRo0apZNtSjqAqFF/qc3NzfHLL7/wzt9NTk5GQEAAxo8fz90xaNmyZejUqRN3G7mwsDDY2dmhf//+iIqKwsKFC9GtWzecPHmSW096erpWH7gkBPIlHV/kqXqeWCBHX+SJPKlJS0vT2jMfhCJHX3L0BMjXV02jrQCiUqmQnZ3NqaLbqjs4OMDb2xvDhw+HpaUlOnbsyN0mW5fk5uZW+3bblSGLAKL+xxkwYACGDh3Knb9YUdr+v//7P7i6unJ/FxYWIjIyEsOHD0eTJk3g5OSELVu2ML/rAvl6jRR8kSdpeALk6Ys8kSeWyNGXHD0B8vVV03ABJHI5iq6srbIyI5dDoVCUkfohmaUxMjKCkZER/Pz8EBMTg19//RXGxsbYtm2bVvw0b94cGRkZZZZnZmaiefPmWtlGaWQRQNSnoaxfvx6NGzfmHnijJi8vj7uP8ZEjR2BtbV3uh6aNp+9qE/IlHV/kSRqeAHn6Ik/kiSVy9CVHT4B8fdU02gogQo+AGBgYoFu3brxl06dP54VDTVAqleXeJvnvv/+GgYGBVrZRGlkEEDWpqalQKpW8JwcDwJ49e/DNN9/AxcUFjRo1wqxZs8q0FXMhkS/p+CJPfMTqCZCnL/LEhzzVLHL0JUdPgHx91RTaCiBCrwGxsbHBxIkTecvWrl0La2trjXyEh4cjPDwcSqUS27dv5/4ODw9HWFgYpk6dCjs7O422URGyCiAA8M477+DLL7/EvHnz4OnpiZSUFMTExGDGjBlYsmQJd5sxqUG+pAN5kg5y9EWepIEcPQHy9CVHT4B8fdUENR1ARo0aVeYidG9v7zJHRaqKUqmEUqmEnp4e9/9qGRoaws7ODgcPHtRoGxUhiwBSXFyM3377DcOHD4dSqYS+vj5atmyJuXPn4unTp6y7V23Il3QgT9JBjr7IkzSQoydAnr7k6AmQr6+apqYDyMWLF1GnTh0sWLAAiYmJCAkJgampKfcASE1p1qwZ0tPTtbIuocgigBQWFmLevHkYMmQIDh06hFevXrHuklYgX9KBPEkHOfoiT9JAjp4AefqSoydAvr5qmpoOIABw8OBBtGvXDkZGRrC3t9fqXbDedFpdyQdWahNZBBCCIAiCIAiCqAlYBBBd8v7770OlUpVZHhUVhdatW+tkmxRACIIgCIIgCEIgcgsgQ4YMQf369REaGgoAKCoqQkBAAAwNDfHtt9/qZJsUQAiCIAiCIAhCIHILIACwbt06mJmZYdSoUejWrRuaNGlS5i5p2oQCCEEQBEEQBEEIRI4BBAB8fX2hVCphYGCA8+fP63RbFEAIgiAIgiAIQiByCyBPnz7FJ598AgsLCwQFBWHMmDEwMzNDYGCgzrZJAYQgCIIgCIIgBCK3AGJtbY0ePXrg/v373LJdu3ahQYMGGDhwoE62SQGEIAiCIAiCIAQitwAyb948FBUVlVmuUqnQr18/nWyTAghBEARBEARBCERuAYQFFEAIgiAIgiAIQiByDCBnzpzBmDFj4OrqikePHgEAtm/fjrNnz+pkexRACIIgCIIgCEIgcgsg+/btg4mJCSZNmgQjIyPcu3cPABAYGIgBAwboZJsUQAiCIAiCIAhCIHILIB07dsS2bdsAAHXr1uUCyNWrV9GoUSOdbJMCCEEQBEEQBEEIRG4BxMTEBElJSQD4AeTevXswMjLSyTYpgBAEQRAEQRCEQOQWQFq0aME99bxkANm2bRscHBx0sk0KIARBEARBEAQhELkFkCVLluDdd99FVFQUzM3NcfbsWQQHB8PS0hKrV6/WyTYpgBAEQRAEQRCEQOQWQADg+++/h4mJCZRKJZRKJYyNjeHv76+z7VEAIQiCIAiCIAiByDGAAEBOTg4uXbqE6OhoPH/+XKfbogBCEARBEARBEAKRawCpSSiAEARBEARBEIRAKIBoDgUQgiAIgiAIghAIBRDNoQBCEARBEARBEAKhAKI5FEAIgiAIgiAIQiAUQDSHAogGFBUVQaVSISsrC9nZ2SQSiUQikUgkkSorKwsqlQpFRUUazf+ysymAaAoFEA1QqVRQKBQkEolEIpFIJIlIpVJpNP+jAKI5FEA0ICsr6/UX+W4sstOSeMr6+z5WLluAzp0cYWZqCot65ujo2B6L5s1BalIcstOSMHrkMAz66IMybUvq3q3L3Psr09pflsGinrmg94pJWfF/kHSgzMjl2tXmqVXSY6+BgnS9h70gCV2fphLaH1b904UnXWxT0PdE299RLX5/mfWzlov1uCl1sd6fi12qu7FQKBTIysrSaP5HAURzKIBogPoLmJ2WBORm8DTms+EwMTHBgh9n4+LZ40iKj8Hve7ajV88e+G33diA3Ax6ffwb3wQPKtK2utgSthoVFPa2tr6ZUnHKWpANVZ1B8o3b5VEkvvnMXpPvvtxUkoevTVEL7w7KP2vSlq+0J+p5o+zuqxe8vs37WcrEeN6Uu1vtzsSs7LUkrE38KIJpDAUQDKgogu3dshEKhwO97tpedbL9MR9bf94HcfwPIsoVz0bixFRo0qI8pkyfg1bNU7v22Nk2xYul87u/M1Hv4csJYWFlZwsjICG3ftcfB/SFA7r8B5I8De2DfpjXMzMzQ/4M+eHz/Jte+KOcJfpwzC02s34ahoSEcO7TD0fDd3OtJ8TFQKBTYH7oVvXr2gImJCTq0b4sLEUcpgEhMrCdwFEDEJQogFECkINbjptTFeoIvdlEAEQ8UQDSgogDy8eCP0MauVaWF4PH5Z6hXzxyeX47H7Wt/4eD+EJiamiIo8OdyA0hRzhO4OndB23ftcfzQPtyLu4yD+0Nw5PddXAAxMDBAvz7v49K5E7hy4SQc7O0weuQwbn0/L/kf6tUzR+i2IMRf/wvf+UyHgYEB7tyI5gUQ+zatcShsJxJiozD8vx/D1qYpCp7/TQFEQmI9gauNAUTMIaSm+yq6iT0FEMmI9dgpZbGe4ItdFEDEAwUQDagogDjY2+HjwR8JCiC2Nk1R+CKNW/bpJ+4YOXxouQHk2MG90NPTQ0JsVLnr2xK0GgqFAndvXeKWBa5cikaNrLi/rd9ujAU/zua169q5E6ZMnsALIBvXreRevxVzHgqFArev/UUBREJiPYGjACIu1eojIJqEDwogNS7WY6eUxXqCL3ZRABEPFEA0oKIAYt+mtaBrOzw+/wwDP+rHWzZjylfo/b5buQFkyfwfYNP0nQrXtyVoNUxNTXnLwnZtg1Kp5BXe6ePhvPd4T5vMbVMdQC6ePc69/vTxXSgUCkSeOEABREJiPYnT5qRfDBN1qYeQmu6/qCb2FEAkJdZjp5TFeoIvdlEAEQ8UQDTgTadg2bVuKSiAlA4qXlMn4/33upcbQFYtX1RpACl9Efpvu7dDoVDwCq90kPCaOhl9er3HCyBXoyK41zNT70GhUCDi2O86GxRYD9pylBgmcawn3awCiNgCCQsvopvYUwCRjFiPnVIW6wm+2EUBRDxQANGAigLIru0bqnQRutAAcvp4eKWnYL0pgCC34lOwpk6eyDSAUAjRvkQzeZNgEKEAorkn0U3sKXzU2KRfTH2pbWI9wRe7KICIB9kGkPz8fPj4+ODbb79Ffn6+TrZRUQApfpmOkcOHwsTEBAvn+ePSuRN4EH8VB/eHoE+v9954G943BRDkZqBXzx5o19YBxw/tw/3bV3Dk913cXayEBJAVS+ejXj1z7Nq+AfHX/8Ksb2eUexE6BRDpSxSTtxoOIVIPPpV5Ekv4EBqqRDe5pwAimvGI9fgoV7Ge4ItdFEDEg2gDyKNHjzBmzBg0aNAAJiYmcHR0xOXLl7nXAwMD0axZMxgZGcHJyQlnzpzhtd++fTuCg4MRFhaGjRs38l7z8PCAQqHAokWLeMt/++2315N1gbzpOSBFOU+wbtUydO3cCaampqhXzxydnRzxy08L8fKpqtoB5J+URHwxbjQaNmwAY2NjtGvrgENhOwUHkJK34TUwMKjwNrwUQKQv5hO3Gg4Dcjn68iY/YgkfdAREmmI9JpF0L9YTfLGLAoh4EGUAefr0KWxtbTF+/HhER0cjKSkJf/75J+7evQsA2LVrFwwMDLBhwwbExcXBy8sLZmZmePjwIbeOrVu3IjQ0FHv37kVQUBBv/R4eHjA2NsZbb72Fp0+fcsu1GUBIVRfrgVtuEsXkjfEREKkFEW3/G1IAoQBCAaR2ifV+XOyiACIeRBlAZs2aBTc3twpfd3Z2hqenJ2+Zvb09fH19ub/z8vLg5eUFb29v5OXl8d7r4eGBwYMHw97eHjNnzuSWUwBhL9aDt5wkislbDU/+xdIPsfSfAggFEAogtUus9+FiFwUQ8SDKAOLg4ABvb28MHz4clpaW6NixI3cUIz8/H/r6+ggLC+O1mTFjBnr27Clo/R4eHnB3d0dYWBiMjY2hUqkAUAARg1gP3nIT88mbiAII63DBygMFEAogFEJqj1jvw8UuCiDiQZQBxMjICEZGRvDz80NMTAx+/fVXGBsbY9u2bUhJSYFCocD58+d5bRYsWAA7OztB61cHEABwdXXFhAkTAFQeQPLy8pCdnc1JpVJRANGBWA/gchJfbVTVAAAgAElEQVTzyRuDyT/r7YstgGgriGjTB5OJvSbfYREEBwogpMrEet8tBVEAEQ+iDCAGBgbo1q0bb9n06dPh6urKBZALFy7wXp8/fz7atGkjaP0lA0hkZCT09fVx69atSgNIQEAAFApFGVEA0Y1YD+ZykCgmb4wDCOtAobUJuwQ8SWIyTwGEJAOx3j9LVRRAxIMoA4iNjQ0mTpzIW7Z27VpYW1tr9RQsNQMHDoS7uzsdAZGIWA/8UlJtDCClJ8KsJ+XaDB5i+HeWxVEEKfedAkitEet9rRxFAUQ8iDKAjBo1qsxF6N7e3txREWdnZ3z99de81x0cHHgXob+J0gEkNjYWenp6mDlzplauAcnNfASPzz9Du7YO0NfXL3OrXbXWrFgC+zatYWxsDLvWLbFtY2CZ96xYOh92rVvC2NgY7zSxhve0ycjNfMS9vnCeP7o4dUTdumawtPwP3AcPQPz1v5gXOQux3lmIVbU5gLAOFzUROkQtEUy4Nf5es+4jhRDZi/W+szaJAoh4EGUAuXjxIurUqYMFCxYgMTERISEhMDU1RXBwMIB/b8O7adMmxMXFwdvbG2ZmZnjw4IGg9ZcOIAAwduxYGBsbayWAvMh4CM8vxyMo8Gf0/6BPuQFk7S9LYW5eF7u2b8C9uMsI3RaEunXNcGBfMPee4M3rYGRkhJAtvyIpPgbHDu7F240bwXvaZO49/T/ogy1Bq3Hzyjlciz6NQQM+gE3Td/Ai4yHzQq9psd6JiFmsQwjrCb8YxDwMUAAhlRDrMYnEF+v9Z22RHALIwoULoVAo4OXlpZEH1ogygADAwYMH0a5dOxgZGcHe3r7MszwCAwNha2sLQ0NDODk5ITIyUvC6ywsgDx48gJGRkdbvglXewwaRm4FuLl3xf95Tecu8pk5Gj24u3N9TJ09En17v8d7jM+NruHV3rXB7T5LjoVAoEHniAPNCr2mx3oGIXRpPWiiAUPigECIbsR6PSHyx3n/WFkk9gFy8eBHNmjVDhw4dKIDUZjQJIE6dOsDf91veMt//84KBgQFePUsFcjMQui0IFhb1EH3mOJCbgXtxl2HfpjUWzZtT4fYSb16EQqHAjcu1b0BjvQORiqo9aaEAQmGDAojkxXr8IZUV631nbZKUA8jz58/RunVrnDhxAu+//z4FkNqMJgHEb6Y3Gje2wuXzf6L4ZTounTsBKytLKBQKPL5/k3vfquWLYGBggDp16kChUODrr76oeAL+Mh1DBvV/4xGS2iDWOxOpSM4hpKa2y3xyLwWJYNJNouAhVrHeX9Y2iS2AqFQq3s2NSj84uyTjxo2Dt7c3AFAAqe1oEkBePlXhi3GjUadOHejr68P67cb4zmc6FAoF0h7eBnIzEHHsdzRqZIUNa1cg9tIZhO3ahqbvNMG8H3zL3daUyRNga9MUqsRY5kUuBrHesUhFNRVAxBAGKHRQ+BDLBF8s/SCxE+t9ZG2UtgNIVvwf1frss+L/KPexDgEBAeVuLzQ0FO3atUNubi4ACiC1Hk0CiFqvnqVClRiLwhdp3IXpRTlPgNwMuHV3LXOdyI7Na2FiYsK9R61pnpPwThNr3L99hXmBy0msd1A1oSpPcrQwMRVrEKDAQaFDDJN9ChXyE+t9Gem1xBZAhBwBSU5OhpWVFa5du8YtowBSy9FGACmpnm7dMGrEJ9zfTp064Duf6bz37Ny6HsbGxih8kfZ6gvwyHVMnT4T1241x50Y08+ImVV2sd4zVmnzVwMSfJv8ikwgm/DQhJ4lVrPcjJGESWwAR0g/1M+r09fU5KRQKKJVK6Ovro7CwUCMvrJBtAMnPz4ePjw++/fZb5Ofn62Qbbwogt2LO42pUBIYM6o9ePXvgalQErkZFcK8nxEZhx+a1uHMjGtFnjmPk8KFo0KA+kuJjuPcEzJ4Jc/O6CN0WhPu3r+D4oX1o2aI5Rgxz597z9VdfwMKiHk4fD0dq0i1OL5+qmBc6qXpisfOs9mSQ9aSYxDwMUIgg1Tax3keQqi8pBpBnz57hxo0bPHXp0gWff/45bty4oZEPlogygKxduxbt27eHubk5zM3N4erqiiNHjvDeExgYiGbNmsHIyAhOTk44c+YM7/Xt27cjODgYYWFh2LhxI+81Dw8PKBQKLFq0iLe8siehl+ZNAcTWpmm55/epX4+7egEdHdvDxMQE9eqZl/sAwYLnf2Ou/3do2aI5jI2N0fSdJpgyeQIyU+9x7ylvGwqFAluCVjMvdJJmYrFjpSAiAokgHFDIIJH+Fet9AUl7kmIAKQ86BUtHHDhwAIcPH0ZCQgISEhLw/fffw8DAADdv3gTw74MIN2zYgLi4OHh5ecHMzAwPHz7k1rF161aEhoZi7969ZZ4h4uHhAWNjY7z11lt4+vQpt1ybAYRE0oZY7XApiFCIoHBBqm1iPd6TdC8KIOJBlAGkPOrXr88dyXB2doanpyfvdXt7e/j6+nJ/5+XlwcvLC97e3mUu6vHw8MDgwYNhb2+PmTNncsspgJDEKlY7ZI0mqaxDAAUOChEk2Yn1WEyStuQSQOSA6ANIYWEhQkNDYWhoiFu3biE/Px/6+voICwvjvW/GjBno2bOnoHWqn4QeFhYGY2NjqFQqABRASNJRTe/0NZ7ssg4IFDYogJAkKdZjLUleogAiHkQbQGJjY2FmZgZ9fX1YWFjg8OHDAICUlBQoFAqcP3+e9/4FCxbAzs5O0LrVAQQAXF1dMWHCBAAUQEjSVU1NBrQ2+WUdImpp4KAAQhK7WI+lJHmLAoh4EG0Ayc/PR2JiIi5dugRfX1/85z//wa1bt7gAcuHCBd7758+fjzZt2ghad8kAEhkZCX19fdy6davSAJKXl8e7X7NKpaIAQhKtdDlJYD1xlopYT+ZI2pGUa1VsYj0ukmq3KICIB9EGkNL07dsXX331lVZPwVIzcOBAuLu7VxpAAgICyr3jFAUQktilq8kE6wk+a7GezNVGsa4lEokkXVEAEQ+SCSB9+vSBh4cHgNcXoX/99de81x0cHHgXob+J0gEkNjYWenp6mDlzJh0BIclaNTVJZB0MKBxIS6zrgkQi1Q5RABEPogwgfn5+OHPmDJKSkhAbG4vvv/8eenp6OH78OIB/b8O7adMmxMXFwdvbG2ZmZnjw4IGg9ZcOIAAwduxYGBsb0zUgpFoh1hNOEkkt1rVAIpFqjyiAiAdRBpAJEybA1tYWhoaGsLS0RN++fbnwoSYwMJB7j5OTEyIjIwWvv7wA8uDBAxgZGVEAIdUasZ54kkjFKRRASCRSzYkCiHgQZQCRChRASGIW64kliSRErOuERCLVHlEAEQ8UQDSAAgippsR6kkgi6UKs64pEItUuUQARDxRANIACSO0Q60kaiSRHsa5rEolU+0QBRDxQANEACiBVE+sJD4lEYi/W4xCJRKq9ogAiHiiAaIDcAgjriQmJRJKfWI9rJBKJpBYFEPFAAUQD5BBAWE9OSCSS9MV6HCORSCQhogAiHrQWQL744gs8e/aszPIXL17giy++0NZmtE5+fj58fHzw7bffIj8/v0ptpR5AWE9aSCSSOMR6LCKRSKSaEAUQ8aC1AKKnp4e0tLQyy9PT06Gvr6+tzVSLwMBANGvWDEZGRnBycsKZM2e417Zv347g4GCEhYVh48aNVVqvlAMI6wkPiUSqXKzHCRKJRJKTKICIB40DSHZ2NrKysqBUKnH37l1kZ2dzevr0KbZt24a3335bG32tFuqnpm/YsAFxcXHw8vKCmZkZHj58CADYunUrQkNDsXfvXgQFBVVp3RRASCSSLsR6fCCRSCQ5igKIeNA4gCiVSujp6VUofX19zJ8/Xxt9rRbOzs7w9PTkLbO3t4evry8AIC8vD15eXvD29kZeXl6V1k0BhEQi6UKsxwcSiUSSoyiAiAeNA8jp06cREREBpVKJsLAwnD59mtOFCxeQkpKijX5Wi/z8fOjr6yMsLIy3fMaMGejZs6fG66cAQiKRdCHW4wOJRCLJURRAxIPWrgF58OABioqKtLU6rZCSkgKFQoHz58/zli9YsAB2dnZVXl9eXh7vFDOVSgWFQoEF8/+H5T8te6N2Bm8tUwg7g7dW2m75T8twIfIEr11e1mNB7Zb/tAwpSXG8tgk3Lr1+bdmiN2r1iqVlCuZY2OZK2y1ftggHdgWVabt+zXJBba9H7uW1e3LrD0Htli9bhOzEP3ltL/25S1C7ret/KdPffTvWCWobcWBbmbZC+3v/0gFeu/uXDghuW3qbEQe2CWq3b8e6Mm23rv9FUNtLf+7itctO/FNwf5/c4g/S1yP3Cmq3fs3yMv09sCtIUNtjYZvLtF29YqmgtvEXfuO1e3TtsGCvuUkRvLbnj4YIardz85oyAYTpGFGJVq9aWWZMO3YkXFDbA7/tLdN2/a+BgtrGXjnPa5f+KFGw12fpD3ltL/91WlC7rZs3lOnv/j07BbWNOHGkTFuh/U1KuMZrl5RwTXDb0tuMOHFEULv9e3aWabt18wZBbS//dZrX7ln6Q8H9TX+UyGsbe+W8oHbrfw0s098Dv+0V1PbYkfAybVevWimobcKNS7x2KUlxgr3mZT3mtb0QeUJQO9HNIyqRGMeIBfP/RwFEJGj9Nrw5OTm4ffs2rl+/zhML1AHkwoULvOXz589HmzZtqry+gIAAKBSKMvL19cXcuXPfqI1B68oU08agdZW2mzt3LiJOHC4zcAhpN3fuXCTfvcFre/NqlKB2Cxf8r0zBhIcGCWq7e9vaciflQtpePsmf5P5946hgr1kJJ8pM/IS0C1y5rEx/t29YJajt0X2byrQV2t87Ub/z2t2J+l1w29LbPLpvk6B22zesKtM2cOUyQW3PHw3hD6AJJwT39+8bR3ltL5/cJahdeWFr97a1gtqGh5YNwgsX/E9Q25tn9/HaPYw5JNhr6QBy6sA2Qe02rP25TAAR9RixcEGZMS08bI+gtntCd5Q7KRfS9kpUJK9dWnKCYK/ZaQ/KTPyEtAtcvapMf3dsFVZzfxz6rUxbof1NvHWF1y7x1hXBbUtv849Dvwlqt2PrpjJtA1cLGw9LT3Kz0x4I7m9acgKv7ZWoSEHtygtbe0J3CGobHranTNuFCxcIanvzahSvXfLdG4K9lg4gEScOC2onuXmECMcIX19fCiAiQWsB5MmTJxg0aFCF14KwQNunYMnmCIiAX2PpCAgdASktOgIizCsdAWH362ZloiMglbejIyB0BKS05DRG0BEQ8aC1ADJ69Gh0794dFy9ehJmZGY4fP44dO3agTZs2OHTokLY2U2WcnZ3x9ddf85Y5ODhwF6FrglSvAalOsZBIpJoT6zGCRCKR5Ci6BkQ8aC2ANG7cGNHR0QAAc3NzJCQkAADCw8PRo0cPbW2myqhvw7tp0ybExcXB29sbZmZmePDggcbrpgBCIpF0IdZjBIlEIslRFEDEg9YCiLm5OZKSkgAAtra2OHfuHADg/v37MDEx0dZmqkVgYCBsbW1haGgIJycnREZGamW9Ug0gyKUQQiKJVazHBhKJRJKrKICIB60FkC5duuCPP/4AALi7u2Ps2LF49OgRvvvuO7Ro0UJbmxEVUg4gyKUQQiKJSazHAxKJRJK7KICIB60FkODgYGzZsgUAEBMTA0tLSyiVShgZGWHXrl3a2oyokHoAUYv1xItEqq1iXfskEolUm0QBRDxo/Ta8anJycnDlyhWkp6frahPMkUsAUYv1ZIxEkrtY1ziJRCLVZlEAEQ8aBZBvvvlGsOSI3AIISXdiPfEl6Vasv18kEolEqlwUQMSDRgGkV69egtS7d29t9VdUUAAhiVGsJ+NSE+vPi0QikUg1Iwog4kFnp2CJgfz8fPj4+ODbb79Ffn6+1tdPAYQkVdEEn0QikUi1TRRAxINoA8jatWvRvn17mJubw9zcHK6urjhy5AjvPYGBgWjWrBmMjIzg5OSEM2fO8F7fvn07goODERYWho0bN/JeS0tLw1dffYWmTZvC0NAQjRo1wocffogLFy4I7iMFEBKJRCKRSCRpiAKIeBBtADlw4AAOHz6MhIQEJCQk4Pvvv4eBgQFu3rwJ4N8HDG7YsAFxcXHw8vKCmZkZHj58yK1j69atCA0Nxd69exEUFMRbv5ubG1xcXHDq1Ck8ePAA0dHRWLhwYZWe2k4BhEQikUgkEkkaogAiHkQbQMqjfv363JEMZ2dneHp68l63t7eHr68v93deXh68vLzg7e2NvLw8bnlmZiYUCgVOnz6tUX8ogJBIJBKJRCJJQxRAxIMkAkhhYSFCQ0NhaGiIW7duIT8/H/r6+ggLC+O9b8aMGejZs2el6ysoKEDdunXLBJOqQgGERCKRSCQSSRqiACIeRB1AYmNjYWZmBn19fVhYWODw4cMAgJSUFCgUCpw/f573/gULFsDOzk7Quvft24f69evD2NgY3bt3h5+fH65fv/7GNnl5ecjOzuakUqkogJBIJBKJRCJJQBRAxIOoA0h+fj4SExNx6dIl+Pr64j//+Q9u3brFBZDSF4zPnz8fbdq0Ebz+3NxcHD9+HD/++CO6desGfX197mnu5REQEACFQlFGFEBIJBKJRCKRxC0KIOJB1AGkNH379sVXX32l8SlYFTFx4kTY2NhU+DodASGRSFJSTd5uWU5i/bmRSCTdiAKIeJBUAOnTpw88PDwAvL4I/euvv+a97uDgwLsIvaosX74cDRs2FPx+ugaEJGXR5Ez6Yj1Rl6tYf64kEkk3ogAiHkQbQPz8/HDmzBkkJSUhNjYW33//PfT09HD8+HEA/96Gd9OmTYiLi4O3tzfMzMzw4MGDStedkZGB3r17Y8eOHbh+/Tru37+PPXv2oFGjRpgwYYLgPlIAIUlVrCd41Zn0se4fqXaIdW2SSCTdiQKIeBBtAJkwYQJsbW1haGgIS0tL9O3blwsfagIDA7n3ODk5ITIyUtC68/Ly4OvrCycnJ1hYWMDU1BRt2rSBv78/Xr58KbiPFEBIUhTrCR6JJHWxrmESiVQ9STWALFy4EF26dEHdunVhaWkJd3d3xMfHa+SBNaINIFKAAghJSmI9aSORSNUT67GDRJKLpBpA+vfvjy1btuDmzZu4du0aBg0aBBsbG7x48UIjHyyhAKIBFEBIUhHrCRSJRNKOWI8lJJKUJdUAUponT55AoVAIPvNHjFAA0QAKICSxi/VkiUQi6U6sxxcSSWoSWwBRqVS8u6sKfTh2YmIiFAoFbty4oZEPllAA0QAKICSxifWEiEQisRXrMYik2zGbdX+lLm0HkOrO/9T9KK2AgIBKt11cXIwhQ4bAzc1NIw+soQCiARRAxK/asqNnPekhkUjyEusxTU5i/VnS5/6vxBZAqnMEZMqUKbC1tYVKpdLIA2tkHUDy8/Ph4+ODb7/9Fvn5+VpfPwUQcYv1QF6TgzprfyQSiVSeWO8HWIv1vz995nyJLYBUtR/Tpk3DO++8g/v372vUfzEg6gDy6NEjjBkzBg0aNICJiQkcHR1x+fJl7vXAwEA0a9YMRkZGcHJywpkzZ3jtt2/fjuDgYISFhWHjxo2819LS0vDVV1+hadOmMDQ0RKNGjfDhhx/iwoULgvtHAUTcYj0I1+QgzdoLiUQiaVus9yE0Nsvvc5VqACkuLsbUqVNhbW2NO3fuaNR3sSDaAPL06VPY2tpi/PjxiI6ORlJSEv7880/cvXsXwL8PItywYQPi4uLg5eUFMzMzPHz4kFvH1q1bERoair179yIoKIi3fjc3N7i4uODUqVN48OABoqOjsXDhQhw6dEhwHymAiFesB9iaHKBZ95VEIpHkINoHSfffW6ikGkC+/vprWFhY4PTp00hNTeVUlWfXiQ3RBpBZs2a98QIbZ2dneHp68pbZ29vD19eX+zsvLw9eXl7w9vbmnVeXmZkJhUKB06dPa9RHCiDiFOtBlUQikUjyE+1/avbfUheSagAp74J1hUKBLVu2aOSDJaINIA4ODvD29sbw4cNhaWmJjh07ckcx8vPzoa+vj7CwMF6bGTNmoGfPnpWuu6CgAHXr1i0TTKoKBRDxifWgSiKRSKTaIdr/VP/fipWkGkDkiGgDiJGREYyMjODn54eYmBj8+uuvMDY2xrZt25CSkgKFQoHz58/z2ixYsAB2dnaC1r9v3z7Ur18fxsbG6N69O/z8/HD9+vU3tsnLy+PdrUClUlEAEZFYD7AkEolEqj2S8j6I9f6alSiAiAfRBhADAwN069aNt2z69OlwdXXlAkjpC8bnz5+PNm3aCN5Gbm4ujh8/jh9//BHdunWDvr7+Gw9nBQQElHsIjAKIOMR6QCeRSCRS7ZAY9kOs97lSFAUQ8SDaAGJjY4OJEyfylq1duxbW1tYan4JVERMnToSNjU2Fr9MREHGL9Q6JRCKRSPJXTe2bWO9T5SgKIOJBtAFk1KhRZS5C9/b25o6KODs74+uvv+a97uDgwLsIvaosX74cDRs2FPx+ugZEXGK9UyKRSCSSfMV6H0fSXBRAxINoA8jFixdRp04dLFiwAImJiQgJCYGpqSmCg4MB/Hsb3k2bNiEuLg7e3t4wMzPDgwcPKl13RkYGevfujR07duD69eu4f/8+9uzZg0aNGmHChAmC+0gBRFxivXMikUgkkrzFej9H0kwUQMSDaAMIABw8eBDt2rWDkZER7O3tyzzLIzAwELa2tjA0NISTkxMiIyMFrTcvLw++vr5wcnKChYUFTE1N0aZNG/j7+1fpnsoUQMQj1jslEolEItUOsd7fkaovCiDiQdQBROxQABGPWO+QSCQSiVS7pKt9Fuv9qZxFAUQ8UADRAAog4hHrHRGJRCKRSLoQ6/2rnEQBRDxQANEACiDiEOudA4lEIpFIuhbrfa0cRAFEPFAA0QAKIOIQ650CiVRVFV1Zq1Wx9kMikWpOrPe5UhYFEPFAAUQDKICwF+sdAYkkRNoOHBROSKTaLdb7XqmKAoh4oACiARRA2Iv1ToBEEiKWAYSCCIkkP7He90pVFEDEAwUQDaAAwl6sdwIkUmViHTwogJBI8hPrfa9URQFEPFAA0QAKIOzFeidAIlUm1sGDQgiJJD+x3vdKVRRAxAMFEA2gAMJerHcCJNKbxDpwUAAhkeQp1vteqYoCiHigAKIBFEDYi/VOgEQqT6yDBgUQEkneYr3vlaoogIgHCiAakJWVBYVCAdXdWGSnJZEYKCv+DxJJdMqMXC5Ksf53IZFI2hHrfa9UpbobC4VCgaysLI3mfxRANIcCiAaoVCooFAoSiUQikUgkkkSkUqk0mv9RANEcCiAaUFRUBJVKhaysLGRnZ+tE6pCjUql0tg0WIl/Skdw8yc0P+ZKeyJN0RL6kIyGesrKyoFKpUFRUpNH8LzubAoimUAAROdyXXGZfUvIlHeTmSW5+1JAv6UCepAP5kg416YkCiOZQABE5chwkAPIlJeTmSW5+1JAv6UCepAP5kg4UQKQFBRCRI8dBAiBfUkJunuTmRw35kg7kSTqQL+lAAURaUAAROXl5eQgICEBeXh7rrmgV8iUd5OZJbn7UkC/pQJ6kA/mSDjXpiQKI5lAAIQiCIAiCIAiBUADRHAogBEEQBEEQBCEQCiCaQwGEIAiCIAiCIARCAURzKIAQBEEQBEEQhEAogGgOBRCCIAiCIAiCEAgFEM2hACICUlNTkZyczLobWic5ORmbNm3C0aNHUVBQwLo7WiM1NRVPnjxh3Q2tkpaWhvT0dNbd0BpUU9KCakoaUF1JBznWFCCeuqIAojkUQBhQXFyMixcvYtKkSWjSpAkaNWqEXr16Ye7cuay7phVu376N3r17o27duujQoQNWrlyJjIwM1t3SiOfPn2Px4sV455130KBBAwwaNAgrVqxg3S2NuHHjBqZPn46mTZuiSZMmGDBgAFavXs26W9WCakp6UE2JH6oraSHHmgLEWVcUQDSHAkgNUVxczP3/48ePMW3aNIwdOxYHDx5EYmIifvrpJxgaGuLAgQMMe1l11L7U/3327BlGjBiBcePG4fHjxwCA/Px8FBYWMutjdVD7Ufc7JCQEHTt2RFhYGO7fv49ly5ahYcOG2Lx5M8tuVhm1r5SUFIwaNQojR45EWFgYbt68iW+++QZGRkb4888/GfdSGFRTVFNiQE41BVBdSamu5FpTgPjrigKI5lAA0REvX77EmjVr4OzsDDc3NyxbtgzPnj0DABQUFCAqKgr//PMPr42hoSFCQkJYdFcwb/IFADExMbCyskJ2djaKi4sRGRmJGzduMOyxMN7kKzc3F506dcKMGTNQVFTEtRk5ciS6dOmClJQUVt1+IyqVCqtWrYK7uzvWr18PAFz/c3Jy4Ofnh8TERF6bZs2aYcmSJbxJiFigmqKaYo3cagqgupJSXcmxpgBp1hUFEM2hAKIjtmzZAgcHB/z4449Ys2YN6tatiy+//BJZWVnlvn/9+vUYNmyYqAcJoGJfmZmZAICAgAC4u7vj559/RuvWrWFnZwdHR0fMmDGD+5VJjDviinw9ffoUAGBlZYV169YB+Lf/n332GZRKJXbt2gUAvEGfNQ8fPkT//v3h4uICCwsLeHp64tWrVxW+X913BwcHLFmyBID4PieqKaoplsixpgCqKynVldxqCpBuXVEA0RwKINWgsi97YWEhrK2t4e/vzy0LDw9H8+bNuXRfWFiIoqIiLF++HEqlEiYmJnB2doaPjw9yc3N12v+K0MRXYGAgAGDOnDmwsrKCm5sbQkJCkJWVhcDAQHTs2BFTp04FUPMDoDZ8jR8/Hm3atMGxY8cAAIcOHUK/fv3Qvn17jB07FkDN+qrM0z///IPFixcjPj4eU6ZMwcCBA7lfkEq2LS4u5i66PHDgAFq0aIHbt2/rruPVRKo1VRlSranKkGJNVYbcagqgupJSXcmxpgDp1hUFEM2hAFIFLl++jPPnz1f6vosXL8LBwQG//fYbtywnJwfjx4+Hq6sr773x8fGIjo7Go0ePsH//ftjZ2YLEc7oAACAASURBVMHb21vrfX8T2vDVpUsXAMC5c+egVCrRt29fXtslS5bA1tZWq/2uDG346tq1KwAgISEBo0ePxttvvw09PT00atQICxcuhIeHBz7++GOdeSiNUE8l2blzJ7p06cKds13eDqiwsBCffPIJPD09tdJPoURHR2P//v0V/tqqRmo1pQ1fYqwpbfgSW00J9VQSMdcUANy5cwdz5sypdKyQWl1pw5fY6kobnsRWU4BwXyURe12VhAKI5lAAqYTr16/jiy++wFtvvYWmTZvC0dERY8aMQWxsLAB+gajT+cWLF9GhQwfs2LGDt66wsDAYGRlxh4BLp3sAmDlzJnr37q3zw9u68PXs2TMUFxfjrbfewqeffso7jLp37144ODggISFBcr7UE5NXr17h7NmzSEpK4tbzwQcfYPLkycjPzxeFp/K+U3fu3EHnzp2xePHiMutWv2f//v2wsrLCgwcPdOZDzYULFzBixAjUr18fTZo0gaOjI3r06IHw8HAA4F0EKqWa0oUvMdSULnyxrqmqeJJCTalR//tPmjQJSqWywoAgpboq2V9t+RJDXWnbE+uaKt3fynxJqa7KgwKI5lAAKUFmZibu37/PfdFzcnLw448/YsiQIThz5gxyc3OxZ88euLi4YNSoUQBeF1vp+4a/fPkSrVq1wuLFi3lFlpCQAENDQ1y4cKHc7RcWFuK9997DRx99pNWBoqZ8nT17FgDw+eefo1OnTrhy5Qr3ngkTJsDNzY07V1VKvv76669yt3/79m00btwYa9asAaCdQ9va8lSaAQMG4IsvvsDz58/LvJaRkYHWrVvzbtdYUFCAFy9eaN0PAAQHB2PMmDGIiopCQUEBrl69Cnd3dzg7O1foR+w1pStfrGtKV75Y1lR1PZWGVU1V5EnN1atX8emnn2L06NFo164d7zQpKdaVGm36qsm6qilPNVlTgPZ8lYZlXVUFCiCaU+sDSHZ2NhYvXoyWLVuifv366N69O2bOnAngdcH/8ccfiImJ4bVZunQpOnfuXGZd165dw9atWwEAQ4cOxciRI/Ho0SPu9fv37+Pdd9/Fr7/+CgBIT09HVFQUsrOzcf36dcyaNQs9e/ZERESEJH2pB7grV66gb9++aNmyJXbu3IlFixbB1dUVO3fulKQv9UV9L168QEJCApKTk3Ht2jUMGzYMQ4cO5X5N04Wn3NzcKnmKiYlBcHAw98ulerD38/NDnz59cP36dQCvf01S93nRokXo3r07Ll++jGXLlsHFxQU2NjYIDQ3Vmp/vvvuO+5UxMzMTDx8+5LXx8fHhTo0oidhrSte+WNWUrn2xqCkhnsRaU2/ypD5ao952SEgIBg0ahISEBOjp6ZX7S74U6kqXvnRdVyw86bqmquJr586dGDx4MOcrPj6+zLrEUlfVhQKI5tTKAFKyCHfs2IH27dsjJCQE9+7dw/r166Gnp4fdu3dX2G7gwIGYNGkS8vLyAAD+/v7Q19dHgwYN4OHhgYKCAmzcuBFOTk7Ys2cP1/7UqVOwsbHB8ePHAbx++mq/fv3QqlUrmJqaon///ggPD6/2IMHa14kTJ7hld+/exezZs+Hg4ABXV1ds3ryZW69UfT1//hw///wzbG1tYWpqCnd39zLBQAyeJk2axJ0Wof6169ChQzx/6l+M/v77b9SvXx9KpRJ16tRBp06dMHfuXNy8ebNG/KSnp2PdunVwdnZGVFQUt3z27NmSrilt+RJbTWnblxhqSognFjVVXU8dOnRAZGQkXr58CQsLC2zYsKFcT1KrK2360kVdicWTNmtK175Y1ZU2oACiObIPIOnp6Vi9ejUGDBiAadOm8QqxsLAQ7dq1w9SpU3nngDZo0IBXMCUL8N69e2jVqhX27t3LLYuOjsbx48d5X6THjx9j/PjxaNy4MSIiIpCSkoJp06ahR48evEOLx44dw6VLl2TnC6jeoV6x+7p7926VB3NWnkqiUqng6OiIjz76CCNHjoSLiwv3+axYsaJK30Ft+AGAw4cPw8HBgbuuxdnZGWvXrgUAREVF4dixY5KrKV36AtjVlC59saqp6ngqiTZrSlueIiIi0LdvX+4X8k8++QTjxo1DWloacnJycOPGDRw9elRydaVLX0DV60rsnqpTUyx9lUTbdaUrWAWQwMBANGvWDEZGRnBycsKZM2d0Y7AGkHUAefHiBdzd3eHm5gZ/f39MmDABZmZmOHLkCHe4r0uXLnB3d+dSeHBwMNzd3ZGcnMxbl7oAfHx88MEHHwDgX6hYHpmZmRg2bBjatm0LExMTtG3bFpGRkeSrFvli7QkAvL290apVKyiVSjRr1gyjR4/Gvn37UFxcXOUdrzb8qPuclZWFtLQ0FBcX4/Hjx1i6dCksLCxw9+7dCrcv5u8e+aoZX6w9AdqtKW15AoAffvgBc+fOBfA6XHXr1g1KpRIWFhZYtWpVhdsX8/dPbL7k6EkMvgDt15UuYRFAdu3aBQMDA2zYsAFxcXHw8vKCmZlZmdNJpYIsAsi5c+fg6+uLw4cP834pnj17Nt59913ExcVxyyZOnIiuXbsiOjoaAHD06FF8+eWXcHJygpGREQwNDdG1a1dMnz6dO/Sn/uLHxcXB0tISp06dEty3oqIixMTEVOtOIeRLOr7E6Ek9yZozZw6WLl3KPVxLTH5K8urVK+jp6XEXiFaEFL575EtzX2L0pElN6dJTfn4+srKy8N5770GpVMLQ0BCNGzfGhx9+CKVSif3791c6gRPj94+lLzl6EqsvTeuKBSwCiLOzc5nbD9vb28PX11fL7moGSQeQ1NRUeHp6wsHBAUqlEhMmTEBOTg73+siRIzFixAgA4A5P7t69G3p6erzbvJ0+fRpt27ZFeHg4Hj9+jMOHD6NFixaYNm0a7xfmXr168T781NRUrlCE/BJNvuTnS26eatqPmuLiYixatAj16tXjbi+sTciXdHyRp+p5AoDVq1cjMDAQly9f5tbTokULLFu2TKt+5OxLjp7k7IsV6gCiSoxFdlpSlaVKjH3dXqVCdnY2p4quP8rPz4e+vj7CwsJ4y2fMmIGePXvWhGWtI+kAkpGRgfnz5+PcuXPw9/eHg4MD7+4QS5cuhbW1Ne/w1DfffIP69etj0KBB3LI+ffpg3rx5vMN88+bNQ58+fXDv3j0AwNatW9G0aVOsWLECvr6+aN26NZRKJb7//nvyVYt9yc1TTfhJSkpCQUEBIiMjERERgcOHD2PKlClwcnLi7vai6d1ayJd0fZGnqnvq3bt3hc9FGDJkyP+3d+ZhUZX9G58RWRQRzVyyEMwFqdzQEJfMJSvNorIstxfTLCxTokxUFDXJLdNULPcN98LXtbTSIDW3yCUJ1ARFJJIXwQ1Ghfv3h785eRiWgVmec87cn+u6r3LmPGeem3Oe53zvOcugS5cuVt/3tOpLi5607EsUeXl5qFevHnQ6XYVVrVo1k9ciIyOL/bz09HTodDqTH3aMiopC06ZN7eDY+qg6gBQWFkrPl05KSkKlSpVkGyc7Oxs+Pj5o06YNBg4ciIYNG6Jr164YOHAgunTpgvPnzwMAHnnkEcydO1e2buPNT7m5ubh79y4GDRoEvV6Phx56CL169UJMTEy5fjmXvrTpS2uebO0nICAAt27dwvXr17FgwQI0atQIXl5e6Nu3L3bv3m3VM270pU5f9FSxeeLatWvFfnZ6errNfidBi7606EnLvkSSl5cnO3tRXuXk5Ji8VtIZEGMAKfrbPFOnToWvr6897FodVQcQI8ZU7eHhgS+//FJ2neHFixcRGRmJwYMHS083mTVrFlq1aiVduhIWFoZatWph3rx5SEpKwvTp09GmTRssW7YMwL3rgn///XekpaXRF305hCdb+Vm+fLm0nitXruDvv/+2ix8j9KUeX/RUMU8i0KIvLXoCtOtL6/ASLIVifEJDz5498fLLL0vXHZZ0uu/jjz9GYGCg9O+srCyMHDkSrVu3Rp06deDv74+vvvoKt27dsn3nS4G+7qEGX1rzpDU/RujrHmrwRU/q8ARo05cWPQHa9eUIBAQEYPjw4bLX/Pz8eBO6SIynzBctWoR69epJpwqN5Ofnw2AwAAB27dqF+vXrY9WqVSbrSU1NVdSj3uhLPb605klrfozQl3p80ZM6PAHa9KVFT4B2fTkCxsfwLlu2DImJiQgNDYW7u3uJ994oHU0EECMZGRnQ6/WyXzkFgE2bNuHDDz9Eu3btULduXYwZM0ZQDysGfanHl9Y8ac2PEfpSjy96Ug9a9KVFT4B2fWmd6OhoeHt7w8XFBf7+/lb5DRhRaCqAAPdukBo2bBimTJmCkJAQpKenIyEhASNHjsSMGTNw5swZ0V2sEPSlHrTmSWt+jNCXeqAn9aBFX1r0BGjXF1EHmggghYWF2LJlC1577TXo9Xo4OTmhUaNGmDRpErKzs0V3r8LQl3rQmiet+TFCX+qBntSDFn1p0ROgXV9EfWgigNy9exdTpkzBiy++iB07duD27duiu2QV6Es9aM2T1vwYoS/1QE/qQYu+tOgJ0K4voj40EUAIIYQQQggh6oABhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBhBBCCCGEEGI3GEAIIYQQQgghdoMBxAIKCgqQlpaGnJwc5ObmUhRFURRFUQpVTk4O0tLSUFBQILqEdHgYQCwgLS0NOp2OoiiKoiiKUonS0tJEl5AODwOIBeTk5Nzbkc+dRG5miqQdsetlO3qtWg/gmW5PY//endIyf50+hoyURFk7S9X/jT544fke5W638MtZ8KzuYdW+KFE5Sd9TNtbVuNm20fL3K6TLo3o5hE50bGZ1ifZU0W1OCZStxn9Z84CtP5cqUfY4rljz+H/x2LfQ6XTIyckRXUI6PAwgFpCbmwudTofczBQgL0vSvt3/hU6nQ/LJQ8hIOY3D8XvQ7sk2qFevDnL+Pi9b1poKHvgmgnr3LHe7FYvnw9Ozus36pSQVpv9C2VAFvy20jTaEVUg3PglyCJ1/+nGrS7Snim5zSqBsNf7Lmgds/blUibLHccWax/6cpO/v1W25uaJLSIeHAcQCygogVzP+kl7b/9NO6HQ6fL9tE5CXBe8GXpgzc6r0vk6nw5KFc/Dyi71QpUoVNG7UEFs3r5Hev3sjE0OCB8DHuwHc3NzQtEkjzJ0VJb0fOX60ySnGfbv/W2xffj+0DzqdDilJCbIAsmXjajRp/ChcXV3xTLencfHMCZmvhV/OxKMNfeDs7IymTRph9bKFwgMFA4iyZPfCowyJLqIZQBhAHEq2LnhFfS5VohhASEVhALGA8gSQ3w7+BJ1Oh+3fri0xgDzycH2sW7kIZ/84gpHvvYNq1dzxv/SzQF4Wbl/LwMRxH+PIL3tw/s/fELP8K1StWhUb1ywF8rJw/Uoq+vYJwvPPdkdGymlkpJyGIfey2QHE2dkZbf1b4eC+73DswI8IaOuPDoEBUpvYDavg7OyM6LkzkXzyEGZPnwInJyfs/X6L8FDBAKIc2b3wKEOii2gGEAYQh5KtC15Rn0uVKAYQUlEYQCzA3ACSdekMXur9PDw8qiHzwp8lBpCI8I+kf9/IugC9Xo/vtm4scUC99+4Q9Hn5RenfxV2CZW4A0el0OBS3W1rmz+O/QqfT4XD8HiAvCx0CAzBsyCDZul9/NQi9nn9GeKhgAFGGhBQeZUh0Ec0AwgDiUBI9/hVQkDuaGEBIRWEAsYCyAoi7uzvc3d2h0+nQpPGj0uVXJQWQTTHLZOupXt0Dq5ZGS//+at4stPFviQcfrAV3d3c4OzvjyTatrRJAKleujLs3MmVta9TwxMolC4C8LNSsWUP6f6PmzopCQx9v4aGCoUQDAcPSwqMUiS6kGUAYQBxOAse7VftDlSm1BBDjsZ4BRDkwgFhAWQEk4de9OHf6qMn7JQWQLRtXy5bx9KyOFYvnA3lZ2LhmKdzc3BA9dyYSft2Ls38cwTtD/4OWLZ4oNYDE/bANOp0O2ZfPSa8d+WVPsQGk4OY/JgHEGIBq1qwhC0PIy8KcmVPxaEMf4QGCwUTFAcOeRcgGhhGGD0qorDS+rbafiJ7rVCp7HpesfVzPzUxhAFEIDCAWUJ57QCwNICNC3ka3Lk/J3u/etbMsgAwbMgi9ez0rWybx94PQ6XQ4nXBAem1x9BfFXoJlvNwKeVlIOmHeJVgv9OwhPCgwkKgwbAguhEQX2EoNI6L7K6Qg1sD+rGUJ3YdEz5MKkOhjFQOIdtFsADEYDAgLC8NHH30Eg8Fgk8+wZwCZOysK1at74Pttm5B88hAiwj9C9eoesgASNXk8Gng9gqQTv+JKWjJuX8vA7WsZ8HrkYbz+ahCSTx7Cjth18G3auNib0APa+uNQ3G78dvAntG/3JAID2krr3rJxNZydnfHVvFk4c+qwdBP6vt3/FR4MGEIUHDwUUMBYs7hRo9QQPOwWPkQXdArY59UoRexHovcdBwodtgofDCDKQrEB5NKlSxgwYAAeeOABVKlSBS1btsSxY8ek96Ojo+Hj4wNXV1f4+/sjPj5e1n716tWIiYlBbGwsli5dKnsvODgYOp0O06ZNk72+ZcsW6HTm/0nsGUDyc9IxeFA/eHpWR40anhj+zlsI/3iULID8czEJPbp3QbVq7tJjeJF37xHAzZ94DG5ubniqYyA2r11e7GN4v12/Eo829IGLiwu6dXkKqUm/y/qjhcfwOmr4YFFl3SJHTWL4UFnxaEvP9hpPNvIoPMCqcX+qoEQfs2wVQhhAlIMiA0h2dja8vb0xePBgHD58GCkpKfjxxx9x7tw5AMCGDRvg7OyMJUuWIDExEaNGjYK7uzsuXLggrWPlypVYv349Nm/ejMWLF8vWHxwcDDc3N9SoUQPZ2dnS69YKIJT2JHoSZvCwvECxtFARXaTbIoSI7peQ/UQBxR2l/LnE0fcl0ccuBhDto8gAMmbMGHTq1KnE9wMCAhASEiJ7rVmzZggPD5f+nZ+fj1GjRiE0NBT5+fmyZYODg9G7d280a9YMo0ePll5nAKGKSvTkq8jwIfqgb8NQoOUQoiSJ3m/KLCodpVgV7U/0ttbiNtVYALF2CGEAUQ6KDCB+fn4IDQ3Fa6+9htq1a6NVq1bSWQyDwQAnJyfExsbK2owcORKdO3c2a/3BwcEICgpCbGws3NzckJaWBoABhPpXoidcRQYPBRQMogtnSqOhg6IqIgUEBa2Hj4oEkNLWxcfwKgdFBhBXV1e4urpi7NixSEhIwNdffw03NzesWrUK6enp0Ol0OHDggKxNVFQUmjZtatb6jQEEAAIDAzFkyBAADCCU+kMIwwelFIneXyjK5lJAWNBy8LCFGECUgyIDiLOzM9q3by977YMPPkBgYKAUQA4ePCh7f+rUqfD19TVr/fcHkLi4ODg5OeH06dNlBpD8/Hzk5uZKSktLYwDRuERPlgwg9yS6mHY0CS/sKG1KAV9kWMWDBiT6WMUAQhQZQBo0aIChQ4fKXlu4cCHq169v1UuwjPTq1QtBQUFlBpDIyEjodDoTMYA4jkRPnkJDiKADvuhiXMsSXsypuYAU7UOp0srfUAEhgUGDAUTLKDKA9OvXz+Qm9NDQUOmsSEBAAIYPHy5738/PT3YTemkUDSAnT55EpUqVMHr0aKucAcm7egnBA9/EE4/7wcnJyeTXyY1aMGcGmvk2gZubG5o2aWTyS+O3r2Vg8oQxeLThvccNt2j+OL7bulG2TNwP29C717N4qF7dYh/lSzleEGEA0Y6EF2Es6FQ7blSzPbXiQ7BEH3fUIgYQ5aDIAHLkyBFUrlwZUVFROHv2LNauXYuqVasiJiYGwL+P4V22bBkSExMRGhoKd3d3pKammrX+ogEEAAYNGgQ3Nzer3ANyI+sCQoYNxuLoL/Bcj27FBpCFX86Eh0c1bFi9BH8lHsP6VYtRrZo7tn0TIy3zSdgHqP9QPezcsh5/JR7Dwi9nws3NDQm/7pWW2fXfDRg/Jgzfrl/JAMLwYdsQIqhAEB0CGDoct6hT43ihHGe/FH2cUaMYQJSDIgMIAGzfvh1PPPEEXF1d0axZM5Pf8oiOjoa3tzdcXFzg7++PuLg4s9ddXABJTU2Fq6ur1W9CDx74ZrEBpH27J/Fx6Puy10a9/y46tm8n/fuhenWxYM4M2TJBvXtiwJuvFftZDCAMHwwg6pbwAs2BizktjBXKMfZL0ccXNYsBRDkoNoCoAUsCiH/rFogI/0j2WvjHo+Ds7Izb1zKAvCw88EBNLP1qrmyZN19/Bd4NvBhAGDwcKoTcL9EhwWHDhwIKL1VK9HbTmkRvTwESfSzRkhhAlAMDiAVYEkDGjg5FvXp1cOzAjyi8dQVH9/+AOnVqQ6fT4fL5P4C8LPTr+yoe8/PFmVOHUXDzH+zZ8Q2qVKkCFxcXBhAGDrPkCIWV6OCg6dDhwEWflseMKiR6WwmS6GOG1sUAohwYQCzAkgByKzsNb/2nPypXrgwnJyfUf6gePgn7ADqdDpkX/gTysvDPxSQE9e6JSpUqwcnJCU2bNMJ77w5BlSpVGEAYNsolRyuqRAcLVYcNFoL2kejtqkSJ3iZ2lOhjgqOKAUQ5MIBYgCUBxKjb1zKQdvYk7t7IlG5ML7j5j2yZvKuXcOncKRTeuoJPwj7AY36+DCAMHhUSCyyKhaDCJXrbcx+zqkTP+ZRcDCDKgQHEAqwRQO5X507t0a/vq6WGlUaPNsTY0aEMIAwfFZLog7HDFVlqkOh9gaJULtHzOmW+GECUAwOIBZQWQE4nHMDvh/bhxReeQ5fOHfH7oX34/dA+6f3kk4ewZvlCnDl1GIfj9+CN117GAw/UREpSgrTMobjd+Hb9SvyVeAzxP2xHty5PoaGPN65m/CUtc/1KqrRunU6HL2Z8it8P7cOF5OPCi3wlS/QkKFKiD9bllugCXUsSvS0pSgMSPYdT5Zfx2J+bmcIAohA0G0AMBgPCwsLw0UcfwWAw2OQzSgsg3g28iv3VdOP7ib8fRKuWzVGlShVUr+6BoN49kXTiV9k6ft6zFX7NmsLV1RW1aj2AQf37Iv2vU7Jl9u3+b7GfEzzwTeFFvpIlejIULdEHcOESHQQYMihK8RI9T1PmqTzHfgYQ5aDIALJw4UI0b94cHh4e8PDwQGBgIHbt2iVbJjo6Gj4+934h3N/fH/Hx8bL3V69ejZiYGMTGxmLp0qWy94KDg6HT6TBt2jTZ61u2bLH674BQypXoSVO0RB/cKYpShkTPRSLnLNGelCjRx2ZbigFEOSgygGzbtg07d+5EcnIykpOTMW7cODg7O+OPP/4A8O8voS9ZsgSJiYkYNWoU3N3dceHCBWkdK1euxPr167F582aTHzEMDg6Gm5sbatSogezsbOl1BhDHkegJXrREFzwURdlfoucdyj4SfXxVshhAlIMiA0hx1KxZUzqTERAQgJCQENn7zZo1Q3h4uPTv/Px8jBo1CqGhocjPz5ctGxwcjN69e6NZs2YYPXq09DoDiGNI9MFBpEQXQBRFiZXoOYiyvkQfU9UkBhDloPgAcvfuXaxfvx4uLi44ffo0DAYDnJycEBsbK1tu5MiR6Ny5s1nrDA4ORlBQEGJjY+Hm5oa0tDQADCCOINEHCltLdHFDUZSyJXqOoqwj0cdStYoBRDkoNoCcPHkS7u7ucHJygqenJ3bu3AkASE9Ph06nw4EDB2TLR0VFoWnTpmat2xhAACAwMBBDhgwBUHYAyc/PR25urqS0tDQGEJVJ9EGjNIkuTCiK0rZEz3GU5RJ9DFW7GECUg2IDiMFgwNmzZ3H06FGEh4fjwQcfxOnTp6UAcvDgQdnyU6dOha+vr1nrvj+AxMXFwcnJCadPny4zgERGRhb7xCkGEHWI4YCiKEeT6IKZYuhQkhhAlINiA0hRunfvjnfeeceql2AZ6dWrF4KCgngGRMPSbNgQ/chXPh6Wouwi0UUwJUaij51aEwOIclBNAOnWrRuCg4MB3LsJffjw4bL3/fz8ZDehl0bRAHLy5ElUqlQJo0eP5j0gGpM5E7xZBYDo4t0C3fgkqNwS3WfNSgGFLKUciS5uKceQ6OOwksQAohwUGUDGjh2L+Ph4pKSk4OTJkxg3bhwqVaqEPXv2APj3MbzLli1DYmIiQkND4e7ujtTUVLPWXzSAAMCgQYPg5ubGAKIhlTUpl1kgqCAoKEnCi3vKemFHCX1wAIkuTCmqJIk+fttKDCDKQZEBZMiQIfD29oaLiwtq166N7t27S+HDSHR0tLSMv78/4uLizF5/cQEkNTUVrq6uDCAaUlkTrL3Ch+hgoAYJL9Yp5UgBwYDhg6JKl+jje0XFAKIcFBlA1AIDiLJV1gRqzfAhuoCnGIA0KQUEBQYOiiq/RB//SxIDiHJgALEABhBlq7TJsSJnP0QXyZSyJLw4d0QpIEgwcFBUxSW6LmAAUQ4MIBbAAKJMmTMJOkr4OP/044qX6L8Rw4eGpIDgwQBCUeUTA4hjwgBiAQwgypM5k52Wwofo8OBoYUV4gU2pKpyILuwoSs1iANE2DCAWwACiLJkzoSk9fIgu8NUgBg9KzaGE4YSiKi4GEO1gtQDy1ltv4dq1ayav37hxA2+99Za1PsbqGAwGhIWF4aOPPoLBYChXWwYQ5cicias84UMr4eF7l8p2ldYCiPACmbK/FHD5FsMKRZkvBhB1YrUAUqlSJWRmZpq8fuXKFTg5OVnrYypEdHQ0fHx84OrqCn9/f8THx0vvrV69GjExMYiNjcXSpUvLtV4GEOXInEnKkvAhWDTxUgAAIABJREFUOkiIDBVKCiQ880HZVQoIHwwlFGW+GEDUg8UBJDc3Fzk5OdDr9Th37hxyc3MlZWdnY9WqVXjooYes0dcKYfzRwiVLliAxMRGjRo2Cu7s7Lly4AABYuXIl1q9fj82bN2Px4sXlWjcDiHJkzsSkhQAiOlAoIYSICiMMLw4oBQQNhpBS5m8H+xtQ5osBRPlYHED0ej0qVapUopycnDB16lRr9LVCBAQEICQkRPZas2bNEB4eDgDIz8/HqFGjEBoaivz8/HKtmwFEOTJnQtJCAFFbILHX30F02GCoUbEUECRYWJcyR/PvRlkgBhDlYnEA+fnnn7Fv3z7o9XrExsbi559/lnTw4EGkp6dbo58VwmAwwMnJCbGxsbLXR44cic6dO1u8fgYQ5ciciciSAKLkEKKkUCLSt+hwwDCiACkgOLAINnPu5Xag7CQGEGVitXtAUlNTUVBQYK3VWYX09HTodDocOHBA9npUVBSaNm1a7vXl5+fLLjFLS0uDTqdD1NRPMfvzWaVqXcxKk6J5XczKMtvN/nwWDsb9IGuXn3PZrHazP5+F9JREWdvkU0fNajd/3lyT/u7etdWsttu2bDZpu+jraLPanvztgKzdlUtny243axpmz5qG3LM/yiadoz9ukN6bPX1K8Zo6EStnRpgEkI0RI/H5xHEyzQz/xERbgl83KYSLW644HQzqImt3MKiL2W2LfuaW4NeLXe6zsDCZ5r/2mklo+GLwYJPlitOqgCdlQeOPHm3M7u/vz7eT9ffH1583q938sJEmXtcOG2SyXNFt9fnEcdgxfrhJ0T5vYnixyxbVifBBsnbnxrxpVrvPJ45D9ievyNr+PO5ts9qtifjQpL9rIj6ULTN76sRidWBhuGwfvrU2rMRli+rSyo9lbf9c+olZ7eZ/NsEkAOyeN9asttvmjjNpu2j6BLPaHt/6hazIzIybV/L4LqKcA/NlbY/Gzjar3cr5USbF7TdLSplXjPPOrGnYt22VSUF0//ul6fzRbbJ2549uM9tr0f7uXTfLrHbfLJlm0nbl/Ciz2h6NnS1rl3Ngvtn9zYybJ2t7fOsXZrVbNGeqSX+3LZ9e4va4X7tjl5tsm/lzZpq1bZIObpG1u3R8p9nbNS9ln6ztge/WmtVu3fIFJv1dt3yBWW0PfLdW1i4vZZ/Z/b10fKesbdLBLWa1mz9npkl/d8cuN6vttg2LTdouWjDbrLYn4jbL2t1fR0RN/ZQBRCFY/TG8N2/exJ9//okTJ07IJAJjADl48KDs9alTp8LX17fc64uMjIROpzNReHg4Jk2aVKqWLv7KpChfuvirMttNmjQJ+37YaRJAzGk3adIkXDx3Stb2j98PmdXus8+iTPq7NXaTWW03rV9j0nb257PMavvboThZu8yLyWZ7zUn+wWRSN6fdgiKF1I1PgrByQphZbTcO7W9SIJvb319e6SZr98sr3cxuW/QzNw7tb1a7Of8ZZBJAZrz/vlltdwx8WfaZp55ta3Z/E3q2l7Xd/WZvs9oVF7ZWvDfUrLbfRowwKeg/i5xg3n44NljW7kx4P7O9/u++AFKwIQx75481q92S6REmRfmS6RFmtd07f6xJADG3vxdWjJa1PbX4E7PafTYl0qS//50zzqy2G2ePN2k7e+pEs9oeK1LkZvw8z2yvV/fLA8iBTZ+b1W7B55+aFLmroz8zq+13q2eYtDW3v2e+myNrd+a7OWa3LfqZ362eYVa71dGfmbRd8PmnZrU9sOlzWbur++eb3d+Mn+UB5FjsbLPaFRe2Ni6aZlbbretNi9zPoszz+scv38jaXUjYYbbXogFk77ZVZrVbsvALk/4uWfiFWW33FgnCeSn7zO7vhYQdsrZ//PKNWe0+i/rUpL9b1y82q+3GVaZnsGbPMm+7Hvtpg+zsx/11RHh4OAOIQrBaAPnnn3/wwgsvlHgviAisfQkWz4Ao8AzIfd96lPsMyP9/o6rlMyBFtSrkLZO2X496z6y237/ZW9bOHmdAvprwiUmIiB0/wqwzCrY6A1LWN/S31soL6wMLw836Zn/t56ZF+drPx5vVVvVnQH5biEVzppr1jbcqzoDcp73rZpm0Nbe/f+2eK2v31+65PANSkTMgJZwF4RkQbZ8BKa6O4BkQ5WC1ANK/f3906NABR44cgbu7O/bs2YM1a9bA19cXO3bssNbHlJuAgAAMHz5c9pqfn590E7ol8B4Q8TL3GtASrxMu4VpyS67NF30PCO/D4D0VVr83wl6fQ1FWUnnvE6C0o9JqBt4DohysFkDq1auHw4cPAwA8PDyQnJwMANi6dSs6duxorY8pN8bH8C5btgyJiYkIDQ2Fu7s7UlNTLV43A4h4mTshlXqwKqWgEl0UUwwRQgJHWVJTXylNSXRxSylT5tYMDCDKwWoBxMPDAykpKQAAb29v7N+/HwBw/vx5VKlSxVofUyGio6Ph7e0NFxcX+Pv7Iy4uzirrZQBRhsydoMo8uFlYSIkuvlnwO6CsVdiJ9mFrf5RqJLqQpdSl8tYLDCDKwWoBpG3btvj+++8BAEFBQRg0aBAuXbqETz75BI8++qi1PkZRMIAoQ+WZrMw+EIouvCjKqIoWc6L7rdS/C6UoiS5gKXWqovUCA4hysFoAiYmJwYoVKwAACQkJqF27NvR6PVxdXbFhwwZrfYyiYABRjsozcbGIoxQnaxZ1or1o5e9I2Uyii1dK3bKkVmAAUQ5WfwyvkZs3b+K3337DlStXbPURwmEAUZYqMpGx8GOBaDOJ8i96G4uW6O1OySS6WKW0JUvrBAYQ5WBRAPnwww/NlhZhAFGuKjq5iT5YFyvRBR2LOvVK9H7D/VTREl1MUlRR2bo2YABRDhYFkC5dupilrl27Wqu/ioIBRF2yZFIUXShQlEUSHQwYQKwm0QUiRVki0XUAA4hysNklWErAYDAgLCwMH330EQwGg9XXzwCibll7YhVdmFBUmRIdEBg2ypToApGirCXRx/jixACiHBQbQBYuXIjmzZvDw8MDHh4eCAwMxK5du2TLREdHw8fHB66urvD390d8fLzs/dWrVyMmJgaxsbFYunSp7L3MzEy888478PLygouLC+rWrYtnn30WBw8eNLuPDCDakq0nY9GFDUWZSHSIcKBgUZpEF4oUZQ2JPoabIwYQ5aDYALJt2zbs3LkTycnJSE5Oxrhx4+Ds7Iw//vgDwL8/MLhkyRIkJiZi1KhRcHd3x4ULF6R1rFy5EuvXr8fmzZuxePFi2fo7deqEdu3aYe/evUhNTcXhw4fx2WefletX2xlAtCsRk7foIohyADFcKFaii0eKKq9EH6crIgYQ5aDYAFIcNWvWlM5kBAQEICQkRPZ+s2bNEB4eLv07Pz8fo0aNQmhoKPLz86XXr169Cp1Oh59//tmi/jCAaFuiJ/fCdIYSqhwSHS4YXqwm0fMORZUm0cdmS8QAohxUEUDu3r2L9evXw8XFBadPn4bBYICTkxNiY2Nly40cORKdO3cuc3137txBtWrVTIJJeWEA0bZET/JFJbooohQk0WFA6RK9fawg0fMNRZVXoo/Z5ogBRDkoOoCcPHkS7u7ucHJygqenJ3bu3AkASE9Ph06nw4EDB2TLR0VFoWnTpmat+5tvvkHNmjXh5uaGDh06YOzYsThx4kSpbfLz85GbmyspLS2NAUTDEj2Z3y/RxRClIIku7h1Borfx/0v0vENRtpa9j+sMIMpB0QHEYDDg7NmzOHr0KMLDw/Hggw/i9OnTUgApesP41KlT4evra/b68/LysGfPHkyePBnt27eHk5OT9GvuxREZGQmdTmciBhBtSvTELLr4oRQo0YW5o0vQdhc9FylN/NtoX7Y6rjOAKAdFB5CidO/eHe+8847Fl2CVxNChQ9GgQYMS3+cZEMeSiElXeIFLKVeii29KEWHEKNEFohbmRdG+KPNkzeM6A4hyUFUA6datG4KDgwHcuwl9+PDhsvf9/PxkN6GXl9mzZ6NWrVpmL897QLQte06woosZSqESXWQXoxufBJlIdJ8cMYCUJtEFI+dDbm9byBrHdQYQ5aDYADJ27FjEx8cjJSUFJ0+exLhx41CpUiXs2bMHwL+P4V22bBkSExMRGhoKd3d3pKamlrnurKwsdO3aFWvWrMGJEydw/vx5bNq0CXXr1sWQIUPM7iMDiLbFAyxldwkOEraW8NDgQCGkvGLQoJS2f9gimDCAKAfFBpAhQ4bA29sbLi4uqF27Nrp37y6FDyPR0dHSMv7+/oiLizNr3fn5+QgPD4e/vz88PT1RtWpV+Pr6IiIiArdu3TK7jwwg2hYPvJRdZOeiWUTw0HQI0Wgw4ZxGWWvfUFI4YQBRDooNIGqAAUT7YgChbCZBxTHDh4Ilep+8T5zDqLIkOlxURDlJ3zOAKAQGEAtgAHEMMYBQVpXoItfGAUV0/zUrQfurJuYuB9lWIiU6WDCAqA8GEAtgAHEMMYBQVpHoAvb/xTMgKpbofVgNEr2NHHwbig4YDCDqgQHEAhhAtC9bToSiDxRUKRJdpFhZou/7YJhh0cqx7HjbU3TYYABRNgwgFsAAom3ZYzIUfYBwCIkuNgRLdFBQo1iIalgKGJOOug+IDh8MIMpC0wHEYDAgLCwMH330EQwGg9XXzwCiXdl7UhR9YHDoAkCjEl3EK7rwt4dEjzNHluhtz/2nTDGAEEUHkEuXLmHAgAF44IEHUKVKFbRs2RLHjh2T3o+OjoaPjw9cXV3h7++P+Ph4WfvVq1cjJiYGsbGxWLp0qey9zMxMvPPOO/Dy8oKLiwvq1q2LZ599FgcPHjS7fwwg2pXob2lEHxwc9qCvITFICJLocehoEr29uW9ZLAYQx0SxASQ7Oxve3t4YPHgwDh8+jJSUFPz44484d+4cgH9/iHDJkiVITEzEqFGj4O7ujgsXLkjrWLlyJdavX4/Nmzdj8eLFsvV36tQJ7dq1w969e5GamorDhw/js88+w44dO8zuIwOIdiU6gKgijIg+GFOlisHCzhI9Hh1Rorc59zerigHEsVBsABkzZgw6depU4vsBAQEICQmRvdasWTOEh4dL/87Pz8eoUaMQGhqK/Px86fWrV69Cp9Ph559/tqiPDCDal+jwofggIvogTJklhgobSfT4o8TvA9znrCoGEMdBsQHEz88PoaGheO2111C7dm20atVKOothMBjg5OSE2NhYWZuRI0eic+fOZa77zp07qFatmkkwKS8MII4nhhBtH/xZoFPllugxSImfk6zZJ9F/P8FiAHEcFBtAXF1d4erqirFjxyIhIQFff/013NzcsGrVKqSnp0On0+HAgQOyNlFRUWjatKlZ6//mm29Qs2ZNuLm5oUOHDhg7dixOnDhRapv8/Hzk5uZKSktLYwChHDeEiC78KiBehqTOvznvZymHRM8LFGWBGEAcB8UGEGdnZ7Rv31722gcffIDAwEApgBS9YXzq1Knw9fU1+zPy8vKwZ88eTJ48Ge3bt4eTkxNWrFhR4vKRkZHQ6XQmYgChHOZsiOjiSkHFr2hvWiz2KRvsbwooKimqLNnruMkAohwUG0AaNGiAoUOHyl5buHAh6tevb/ElWCUxdOhQNGjQoMT3eQaEKk0iQojNg4gCimqlFtqO6LmiOv/045qUavY/BRSYapci5mONyp7HSwYQ5aDYANKvXz+Tm9BDQ0OlsyIBAQEYPny47H0/Pz/ZTejlZfbs2ahVq5bZy/MeEEpk8LDJAU8B4UIthTf/Bo4dPpQQRizetxRQfKq5mGUoUd+2YgBRDooNIEeOHEHlypURFRWFs2fPYu3atahatSpiYmIA/PsY3mXLliExMRGhoaFwd3dHampqmevOyspC165dsWbNGpw4cQLnz5/Hpk2bULduXQwZMsTsPjKAOK5EH9CsdoBTQMBQY9Et+m+jtr+bFop9pUj0/qXE4CJ6/mUQUc/2YgBRDooNIACwfft2PPHEE3B1dUWzZs1MfssjOjoa3t7ecHFxgb+/P+Li4sxab35+PsLDw+Hv7w9PT09UrVoVvr6+iIiIwK1bt8zuHwOIY0r0QcxqBzbRRYzKimjFF4Uq+XsyaGhjn1JyUBE9HzOIKHd7MIAoB0UHEKXDAOKYEj2BWuWAJrowUXiRrMYCU7Sf0qTlMxyix42mpcECWIsBRPTfkwFEnTCAWAADiGNK9ASqtQAiuoBUg9T8d9PKJVaix4nSx5BagorouVprAUT035IBRL0wgFgAA4jjSvQkarWDmgKKJyUVUUULZ9F9MKe4E9238v5NRQQP0fu2o4wZRWwDFRTNokODo4UOBhBlwgBiAQwg1P0SPbHa9UDHIksbxZoKto1oj0qX6H1VsdtdRUU0g4H9xACiHBhALIABhCqvRE++9j4g2iPQiC6UVFFQqyx0quLvoaC/p+h9WrFjiQU7VUQMIMqBAcQCGEAoW0n0JG0NiSrSFFX4a7FwpmwjhhAGEMrmYgBRDgwgFsAAQtlaoidra8mehZlmwwcDiOJl0X7PAMIAQtlcDCDKgQHEAhhAKFtL9GRtLVlU2DGAMICoRBbt9wwgDCCUzcUAohwYQCyAAYSytURP1taSRYWdlQox4eGBAUTzsmi/ZwBhAKFsLgYQ5cAAYgEMIJStJXqytpYsKuwYQBhCVCKL9nsGEAYQyuZiAFEODCAWkJOTA51Oh7RzJ5GbmUJRVldO0vea0NW42RXX8vfLpcujehWr8q5HsbLkb0nZVBbt9xbuFyXt91qWpWNF9LxI2V8Xj30LnU6HnJwc0SWkw8MAYgFpaWnQ6XQURVEURVGUSpSWlia6hHR4GEAsoKCgAGlpacjJyUFubq5NZAw5aWlpNvsMEaIv9Yie1CMt+tKiJy360pof+lKfzPGUk5ODtLQ0FBQUiC4hHR4GEIWTm/v/95nkaut6RfpSD/SkHrToS4ueAO350pofI/SlHrToScswgCgcrQ4o+lIP9KQetOhLi54A7fnSmh8j9KUetOhJyzCAKBytDij6Ug/0pB606EuLngDt+dKaHyP0pR606EnLMIAonPz8fERGRiI/P190V6wKfakHelIPWvSlRU+A9nxpzY8R+lIPWvSkZRhACCGEEEIIIXaDAYQQQgghhBBiNxhACCGEEEIIIXaDAYQQQgghhBBiNxhACCGEEEIIIXaDAYQQokkyMjJw8eJF0d0gRDNwTBFCrAUDiAK4fPkykpOTUVhYKLorVuXixYtYvHgx1q9fj2vXronujlVIT0/HhQsXRHfD6mRkZCAtLU10NyyisLAQR44cwdtvv42HH34YdevWRZcuXTBp0iTRXbMqFy9exLJly/Ddd9/hzp07ortjFTIyMvDPP/+I7oZVyczMxJUrV0R3wyI4ptSLFscUoI1xRe7BACKI33//He+++y4efvhh1KpVC+3bt8eIESNw9epVAFB1GLlw4QJefPFFeHh4oEWLFpg+fTpSU1NFd6vC5OfnY968eWjQoAGqV6+Obt26Yfz48aK7ZTFJSUkICwuDl5cX6tSpgy5dumDixIkoKCgQ3TWzuX+cXL58GSNGjMCgQYOwfft2nD17Fp9//jlcXFywbds2gb20Dn/++Se6du2KatWqoUWLFpg7dy6ysrJEd6vCXL9+HdOnT8cjjzyCBx54AC+88ALmzJkjulsWcerUKXzwwQfw8vLCww8/jJ49e2L+/Pmiu1UuOKY4ppSGFsYVMYUBxE7c/61KdnY2Jk2ahH79+mHr1q24ePEiVqxYgbp162Lu3LkCe1l+jL6MBy2DwYCQkBD07t1b9o367du3hfSvIhg93b17FwCwa9cutGjRAmvXrsXly5excuVKeHt7Y+LEiSK7WSGM2ykrKwsjRozAK6+8gs2bN+Ovv/7CtGnTUKNGDSxdulRwL0vm1q1bWLBgAQICAtCpUyfMmjVLOrt2584dHDp0CP/73/9kbVxcXLB27VoR3a0wxu1k/O+1a9fQt29f/Oc//8Hly5cB3Btrxn1UDRi9GPu8du1atGrVCrGxsTh//jxmzZqFWrVqYfny5SK7WW6MvtLT09GvXz+88cYbiI2NxR9//IEPP/wQrq6u+PHHHwX3smQ4pjimlIjaxxUpGwYQG2EwGLBkyRI8+eSTaNWqFcLDw3Hp0iUA9yaL48ePIzMzU9bG29sbM2bMENFdsynOV3p6uvR+amoqatWqhUuXLqGwsBD79u3D/v37Bfa4bErbVgaDAS+//DJeffVVGAwGqc3EiRPx8MMP46+//hLV7TK5dOkSFi5ciOeeew4TJkwAAOnsRl5eHmbMmIGTJ0/K2nTt2hUffPAB8vLy7N5fc1ixYgX8/PwwefJkLFiwANWqVcOwYcOQk5NT7PKLFi1Cnz59ZPuoEimtCASAhIQE1KlTB7m5uSgsLERcXBxOnTolsMdlU5qnvLw8tG7dGiNHjpSdcXvjjTfQtm1bxW6vtLQ0zJs3D0FBQVi0aBGAf8fUzZs3MXbsWJw9e1bWxsfHBzNmzFDsWW2OKY4p0WhxXJGyYQCxEdu3b4evry8iIyOxdu1aeHl5oXv37ibfJBlZt24dXnjhBSQnJwNQ7iVYJfkynrZetWoVOnbsiHnz5qFFixbw9fVF8+bN0b9/f/zxxx8AlOetJE/G62ebN2+OiIgI2TdjoaGh0Ov1+OqrrwBAcZct5eTk4IUXXkD79u3h7e2NXr16IT8/v8Tljd4CAwMxevRoAPbfTmV93t27d1G/fn1ERERIr23duhUNGzaUDlp3795FQUEBZs+eDb1ejypVqiAgIABhYWGKDVVAyUWg8ZLMyMhIBAUF4YsvvkCTJk3QtGlTtGzZEiNHjpS+vVXauCrJU3Z2NgCgTp060vgx9v3NN9+EXq/Hhg0bAChrXF24cAHPPfcc2rVrB09PT4SEhJR6ZtfYdz8/P+mLJaVtI44pjinRaHFcEfNgALERfn5+ePfdd6V/JyQk4NFHH8WUKVNkyy1btgx6vR7u7u5o3bo1Bg8erNjJDyjZV2RkJADgq6++QuPGjdGqVSssWLAAN2/exKZNm9ChQwe8+OKLAJQ3AZbkyXjWYPz48WjUqJF0Gvunn37CSy+9hMceewxdunQBoDxPADBt2jT89ttvmDZtGjp06IBjx44BkO9XhYWFUvj49ddf0ahRI8THx9u1n8eOHcOBAwfKXO7IkSPw8/PDli1bpNdu3ryJwYMHIzAwULZsUlISDh8+jEuXLuHbb79F06ZNERoaavW+m4MlwSo6OhoAMGHCBNSpUwedOnXC2rVrkZOTg+joaLRq1Qrvv/8+APvug9bwNHjwYPj6+mL37t0AgB07duCZZ55B8+bNMWjQIADK8vS///0P06dPR1JSEt577z306tVL+la26JgyXsa5bds2PProo/jzzz9t1/FiOHz4ML799tsSz2IYUeuYKgs1jqmyUOOYMgc1jStiXRhAykFCQoJZ3/hcvHgRfn5+Jt9EjB8/Hs2aNZOdBk5PT8fhw4fxzz//4KeffkLHjh0RFBRkGwMlYA1fTZo0AQCcOHECer0ezZs3l7XdsGEDKleubLcnjFjLU0FBAS5fvoywsDA0aNAAlSpVwoMPPoiIiAiMHTvWxKetMdfX/fz0009o3749vv76awAlH4Def/99vPLKK3Y5QJ04cQJvvfUWatSoAS8vL7Rs2RIDBgyQLgm7vw/GfebIkSNo0aIF1qxZI1tXbGwsXF1di32Ag/H/R48eja5du9r1MgRrBKu2bdsCAPbv3w+9Xo/u3bvL2s6YMQPe3t5W7XdpWMPTk08+CQBITk5G//798dBDD6FSpUqoW7cuPvvsMwQHB+Oll16ymYeimOvpftatW4e2bdtKN2IXN2bu3r2LV199FSEhIVbpZ1kcPHgQffv2Rc2aNfHwww+jZcuW6NixI7Zu3Sr1x4hax5Q1gpXSxpQ1PCltTAHm+7ofJY4rYjsYQMrg/PnziIiIgLe3N/R6PVavXg0Axd6oZnwtKSkJTz/9NKZOnQrg30GUkJAAJycnHD9+3KStcVJfvHgxnnjiCZw5c8YmfozYwpexeGzVqhUCAgJkhfKxY8dQu3ZtJCQkqMrT/dvq6NGjuHjxonTwHjZsGF566SXk5ubazFN5fRUWFprcbHnp0iX06tVLdpanKIcOHYKnp6dNts+1a9dw69Yt6d+3bt3C5MmT8eKLLyI+Ph55eXnYtGkT2rVrh379+gG4VyAVDau3bt1C48aNMX36dFlBlJycDBcXFxw8eLDYz7979y6eeuopPP/887L7eGyBLYLVtWvXUFhYiBo1auD111+XXZ6wefNm+Pn5SZduqsWTsSi5ffs2fvnlF6SkpEjr6dGjB959912bbqvyeCqu+D5z5gzatGmD6dOnm6zbuMy3336LOnXq2OQJgPePKePffO3atRgwYAAOHTqEO3fu4Pfff0dQUBACAgKk5dQ4pmwRrESPKVt4Ej2myutLieOK2BcGkPu4f1I3DpTdu3fj9ddfR1RUFLp27YoBAwbI3i/6/8C9x7Z2794dISEhsgNZXl4ePD09sXHjxhL70KdPHzz55JP4+++/VefL+FSUCRMmwMfHB3v37pWWiYiIQIsWLUxuJFO6p+K2VWFhIdLT02VPwrLWWQNr+SrKe++9hx49ehR7D9Lt27fRpk0bjBkzRvaaJY+Ezs7OxuTJk9GwYUN4eXlhyJAh2LVrFwAgNzcXu3fvNgk7M2fORJs2bUzWdfz4caxcuRIA8PLLL+ONN96QHhIA3Atojz32mHSG58qVKzh06BByc3Nx4sQJjBkzBp07d8a+ffvK7aM07BWsfvnlFwDAwIED0bp1a/z222/SMkOGDEGnTp2ka8DV4unXX38t9vP//PNP1KtXDwsWLABgnXFlLU9F6dmzJ9566y1cv37d5L2srCw0adJE9gjUO3fu4MaNGxX2UdyY+u6776T3c3JyTH6jKCwsTPrG/37UMKZsGaxEjSlberI52cGmAAANrUlEQVTnmLKmr6LYe1wRcTh8AClrUs/KysKpU6dw/fp1fPrpp2jQoEGJ6zp+/Di+/PJL3LlzB2FhYXjmmWeQlJQkvW98SoXxPpCsrCwcPnwYmZmZOHHiBCZMmICOHTvKTrGqyZfxPpCUlBS8/vrrqFOnDr788kvMmjUL7dq1s/i53SK31a1bt3D27FkkJyfj5MmTGDBgAJ5//nlkZGRY5MkWvhYsWCD9UJNxso+Ojka7du2kguH+A9jixYvRsmVL/PTTT5g7dy4CAwNRu3ZtfP755+Xycf86v/zyS7Rt2xabNm3CoUOHMHToUNSoUQOJiYkltuvVqxfefvtt6Wb5iIgIODk54YEHHkBwcDDu3LmDpUuXwt/fH5s2bZLa7927Fw0aNMCePXsA3Lus7plnnkHjxo1RtWpVPPfcc9i6datV7qkSEayMhcNvv/2G7t27o1GjRli3bh2mTZuGwMBArFu3TnWejJc83rhxA8nJybh48SKOHz+OPn364OWXX5a+obaGp0ceecQiTwkJCYiJiZECuXFMjR07Ft26dcOJEycAyM8+3n/flXH+a9CgAdavX18uHxUdU1euXMFXX32FgIAAHDp0SHp9/PjxqhhTtg5WIsaUrT3ZekwV9WUcV+b4Utq4IsrAIQNIRSf17du3w8PDQzo1a/wmYe7cufD09EStWrUQFBSE7Oxs7NixA23btpX9rsfx48fRuHFjLF68GMC9H3nq168fmjRpgmrVqqF79+7YtGlThe+TEO1ryZIl0mv//PMP5syZgzZt2iAwMBCLFi2q0LcUSvGUl5eHmJgYNGzYEO7u7ujZs2e5rxu3l68+ffrg3LlzsvcPHjyITp06Yfbs2QAg3Yd09epVtGnTBnq9Hs7OzmjVqhUmT54sPbGsJK5cuYL58+ejZ8+eGDFihKyYy83NRfXq1aVvT41evby8MHjwYOmAc/9Zm7/++guNGzfG5s2bpdcOHz6MPXv2yC5xu3z5MgYPHox69eph3759SE9Px4gRI9CxY0fZN2a7d+/G0aNHS/VgLqKD1Q8//CC9du7cOYwfPx5+fn4IDAzE8uXLS326mdI9Xb9+HV988QW8vb1RtWpVBAUFVfgyQFt6evvtt6V7HYxjaseOHTJ/xvnt77//Rs2aNaHX61G5cmW0bt0akyZNstmYCg4OlsYUAOzcuRN+fn7SpWUBAQFYuHAhgHuXWu7evVu1Y8pawUpJY8ranqw5pmztyx7jiigXzQcQa0zqxkCQmJgIX19ffPHFFwAg3eNw8uRJ/Pzzz7JJPTc3F+Hh4ahatSo2btyI9PR0jB8/Hq1atZK+nQbuFYb3n/7Viq+KoHRPGRkZ0rcyavB1P5mZmXjuuefg7++Pvn37on79+tKEv3z5cukJWeZw48YNBAUFoVOnToiIiMCQIUPg7u4ufcOclpYGDw8PKaAZ+9ihQwd4e3tLT9kqKCiQ+hAWFoYePXoAKPtysqtXr6JPnz54/PHHUaVKFTz++OOIi4szu/+lofRgBZT/Egqlezp37ly5CyRRnu4nLS0NLVu2xPPPP4833ngD7dq1k7bNnDlzylWsW2tMAfe+hc7MzERhYSEuX76MmTNnwtPTU/pSojiUOKbsFawA+40pe3mqyJgS6et+rDmuiLLRdACx1qRuPFBlZ2ejX79+eOaZZ2Svl0RBQQFCQkLQokULVK1aFY0bN8Z///tf+nIQT0rwBQBTpkxB06ZNodfr0bBhQwwaNAhr1qxBYWFhqQfe/fv3Izw8HDt37pR9CzZ+/Hg89thjsm+9hg4dijZt2uDUqVO4ffs2unbtiqeeekq6l2njxo3w9/fH448/Lp1pMvY9MTERtWvXlt0zVBYFBQVISEiw6hN4tBis6Mn6noB7vwPUuHFj6PV6+Pj4oH///vjmm2+Ej6niPvv27duoVKmSdN9DSSh5TAHKCVZa9KQEX0DFxxVRJ5oIILae1I3rLCgowLx58/Dggw+Wq3+JiYnSb3s4ui8telKqL2MhNWfOHMydO9fswiIjIwMhISHw8/ODXq/HkCFDcPPmTen9N954A3379gUA6Vu3jRs3Qq/XSz8MFRcXB39/fzzyyCNwc3NDnTp1sGLFCvj6+iIqKkr2eV26dJE9UjEjI0PaBuYUg+VFi8GKnuzjydhmwoQJmDlzptlzhb3HlJHCwkJMmzYN1atXl57wZQu0GKy06Empvio6roi6UXUAETGpx8XFSQers2fP4tdff7V6kaRFX1r0pFVfWVlZmDp1Kvbv34+IiAj4+fnJbnqcOXMm6tevL7vZ8MMPP0TNmjXxwgsvSK9dvnwZsbGxOHbsmHSg8/b2lt1rs3r1anh5eWHOnDkIDw9HkyZNoNfrMW7cOKv5MaLFYEVP6vBkrzF17do1xMfHY9++fdi5cyfee+89+Pv7SzcxW/vHbbUYrLToScu+iHpRdQCx16Ru/LXojIwMzJw5E3q9Hk5OTtDr9Rg8eLDVHwGnRV9a9KRVX4WFhdLp9aSkJFSqVEl2w312djZ8fHzQpk0bDBw4EA0bNkTXrl0xcOBAdO3atcTns3///ffw8vKSnglvMBgwaNAg6PV6PPTQQ+jVqxdiYmLK9cNV5UGLwYqe1OHJ1mPKeLlobm4uFixYgEaNGsHLywt9+/bF7t27bXImEdBmsNKiJy37IupF1QHEXoWScf1t27aFh4cHgoODsXXrVpv9AJ0WfWnRk5Z9Gb0BgIeHB7788kvZqfWLFy8iMjISgwcPlm4unDVrFlq3bi19e3zr1i0kJSXh+vXrOH78OHr37o2BAwdKxZDxOfFpaWk281DUj9aCFT2pw9P93gDbjSng3o3E1vwdqbL8aC1YadGTln0R9aLqAGLEVpP6/Tcp3r17F5mZmfRFTw7jy/jkrZ49e+Lll1+WTsuX9A3Wxx9/jMDAQOnfubm5eO+99/Doo4/C1dUVr7zyik1/XdhctBas6Ek9njim1BGstOoJ0K4voj40EUC0Oqlr0ZcWPQHa9GU8oCxatAj16tXD+fPnZe/n5+fDYDAAAHbt2oX69etj1apVsmXi4uIQFxenqCeYaHFb0ZM6PHFM3UMN20qLngDt+iLqQxMBRKuTuhZ9adEToF1fwL2bF/V6vezHuwBg06ZN+PDDD9GuXTvUrVsXY8aMEdTD8qHFbUVP6vBkhGNK+dtKi54A7foi6kMTAcSI1iZ1I1r0pUVPgHZ9PfLIIxg2bBimTJmCkJAQpKenIyEhASNHjsSMGTNw5swZ0V0sN1rcVvSkHjim1IEWPQHa9UXUg6YCCKDNSR3Qpi8tegK046uwsBBbtmzBa6+9Jj11q1GjRpg0aRKys7NFd88qaGVb3Q89KReOKfVsq/vRoidAu76IOtBEANHqpK5FX1r0BGjT1927dzFlyhS8+OKL2LFjB27fvi26S1ZBi9uKntQBx5R60KInQLu+iPrQRADR6qSuRV9a9ARo15cW0eK2oiciEi1uKy16ArTri6gPTQQQQgghhBBCiDpgACGEEEIIIYTYDQYQQgghhBBCiN1gACGEEEIIIYTYDQYQQgghhBBCiN1gACGEEEIIIYTYDQYQQgghhBBCiN1gACGEEEIIIYTYDQYQQghxEPbt2wedToerV6+K7gohhBAHhgGEEEI0ytNPP41Ro0ZJ/zYYDMjIyEBhYaHAXhFCCHF0GEAIIUSjFA0ghBBCiBJgACGEEA0SHBwMnU4n04oVK2SXYK1YsQKenp7Yvn07mjZtiipVqqBPnz64ceMGVq5cCW9vb9SoUQMjRozA3bt3pXUbDAaMHj0a9evXR9WqVREQEIB9+/YJckoIIURtMIAQQogGycnJQfv27TFs2DBkZGQgIyMDP/74o0kAcXZ2Ro8ePZCQkIC4uDjUqlULzz77LPr27YvTp09j+/btcHFxwYYNG6R19+/fHx06dEB8fDzOnTuHWbNmwdXVFWfOnBFllxBCiIpgACGEEI1S9BKsojehG8+InDt3Tlrm3XffRdWqVXH9+nXpteeeew7vvvsuAODcuXPQ6/VIT0+XfVb37t0xduxYW9ohhBCiERhACCFEo5gTQKpWrSprM3HiRDz22GOy1/7zn//glVdeAQBs2rQJOp0O7u7uMlWuXBl9+/a1sSNCCCFagAGEEEI0ijkBxNPTU9YmMjISLVu2lL0WHByMoKAgAMCGDRvg5OSEpKQknD17VqaMjAwbOyKEEKIFGEAIIUSj9OjRAyNGjJD+bY0AkpycDJ1Oh/j4eBv3nhBCiFZhACGEEI0ybNgwPPnkk0hJScGVK1fw008/WRxAAGDAgAHw8fHBt99+i/Pnz+PIkSOYPn06du7caXtThBBCVA8DCCGEaJTk5GQEBgaiSpUqpT6G937MCSC3b9/GxIkT4ePjA2dnZ9SrVw+vvPIKTp48aXtThBBCVA8DCCGEEEIIIcRuMIAQQgghhBBC7AYDCCGEEEIIIcRuMIAQQgghhBBC7AYDCCGEEEIIIcRuMIAQQgghhBBC7AYDCCGEEEIIIcRuMIAQQgghhBBC7AYDCCGEEEIIIcRuMIAQQgghhBBC7AYDCCGEEEIIIcRuMIAQQgghhBBC7AYDCCGEEEIIIcRuMIAQQgghhBBC7AYDCCGEEEIIIcRuMIAQQgghhBBC7AYDCCGEEEIIIcRuMIAQQgghhBBC7Mb/AQ0NJ4bifX7kAAAAAElFTkSuQmCC\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tigress/wenchang/miniconda3/lib/python3.6/site-packages/matplotlib/figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    }
   ],
   "source": [
    "# 5 individual volcanic forcings\n",
    "scale_factor = 1e5\n",
    "fig, axes = plt.subplots(5, 1, figsize=(8,8), sharey=True)\n",
    "cmap = 'OrRd'\n",
    "levels = np.arange(0,16.1,2)\n",
    "monthticks = range(3,13,3)\n",
    "\n",
    "plt.sca(axes[0])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1883','1885')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(0,1, ' Krakatoa\\n 1883', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top')\n",
    "# plt.title('Krakatoa 1883', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "\n",
    "plt.sca(axes[1])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1902','1904')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(0,1, ' Santa Maria\\n 1902', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top')\n",
    "# plt.title('Santa Maria 1902', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "\n",
    "# plt.sca(axes[2])\n",
    "# da.pipe(lambda x: x*scale_factor).sel(time=slice('1912','1914')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "#                                                  add_colorbar=False)\n",
    "# # plt.grid(True)\n",
    "# plt.text(0,1, ' Novarupta\\n 1912', transform=plt.gca().transAxes, \n",
    "#          ha='left', va='top')\n",
    "# # plt.title('Novarupta 1912', loc='left')\n",
    "# xticksmonth(monthticks)\n",
    "# plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "plt.sca(axes[2])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1963','1965')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(0,1, ' Agung\\n 1963', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top')\n",
    "# plt.title('Agung 1963', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "plt.sca(axes[3])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1982','1984')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(0,1, ' Chichon\\n 1982', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top')\n",
    "# plt.title('Chichon 1982', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "plt.sca(axes[4])\n",
    "im = da.pipe(lambda x: x*scale_factor).sel(time=slice('1991','1993')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(0,1, ' Pinatubo\\n 1991', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top')\n",
    "# plt.title('Pinatubo 1991', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "\n",
    "yticks2lat(range(-60,90,30))\n",
    "for ax in axes:\n",
    "    plt.setp(ax.get_xticklabels(), visible=True, rotation=15, horizontalalignment='right')\n",
    "\n",
    "ax = fig.add_axes((.9,.25,.02,.5))\n",
    "plt.colorbar(im, cax=ax, orientation='vertical', label=f'{data_name} [{1/scale_factor:.1e}]')\n",
    "\n",
    "plt.tight_layout(rect=(0,0,.9,1))\n",
    "\n",
    "# plt.savefig(figname)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## AOD at 550nm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-03T19:46:55.488760Z",
     "start_time": "2019-10-03T19:46:55.485479Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Appending to tmp\n"
     ]
    }
   ],
   "source": [
    "da = ext2aod(ds, band=7).mean('lon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-03T19:47:13.729299Z",
     "start_time": "2019-10-03T19:47:13.725740Z"
    },
    "code_folding": [],
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Appending to tmp\n"
     ]
    }
   ],
   "source": [
    "# CMIP6 AOD at 550nm\n",
    "scale_factor = 1\n",
    "da_ = da.pipe(lambda x:x*scale_factor)\n",
    "da_['time'] = da_.indexes['time'].to_datetimeindex()\n",
    "bbox = {'facecolor': 'w', 'alpha':.5, 'boxstyle': 'round'}\n",
    "\n",
    "fig, axes = plt.subplots(3,1,figsize=(8,7), sharey=True)\n",
    "cmap = 'OrRd'\n",
    "levels = np.arange(0,0.46,0.05)\n",
    "\n",
    "ax = axes[0]\n",
    "# plt.sca(ax)\n",
    "da_.sel(time=slice('1850', '1899')).plot.contourf(ax=ax, x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "\n",
    "ax.set_title('')\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('lat')\n",
    "ax.grid(True)\n",
    "ax.axhline(0, color='gray', ls='--')\n",
    "ax.text('1886-06', -6, 'Krakatoa\\nIndonesia\\nAug. 1883', va='center', bbox=bbox)\n",
    "\n",
    "ax = axes[1]\n",
    "# plt.sca(ax)\n",
    "da_.sel(time=slice('1900', '1949')).plot.contourf(ax=ax, x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "ax.set_title('')\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('lat')\n",
    "ax.grid(True)\n",
    "ax.axhline(0, color='gray', ls='--')\n",
    "ax.text('1915-01', 58, 'Novarupta\\nAlaska\\nJun. 1912', va='center', bbox=bbox)\n",
    "ax.text('1905-01', 15, 'Santa Maria\\nGuatemala\\nOct. 1902', va='center', bbox=bbox)\n",
    "\n",
    "\n",
    "ax = axes[2]\n",
    "im = da_.sel(time=slice('1950', '1999')).plot.contourf(ax=ax, x='time', cmap=cmap, levels=levels,\n",
    "                                                      add_colorbar=False)\n",
    "ax.set_title('')\n",
    "ax.grid(True)\n",
    "ax.set_ylabel('lat')\n",
    "ax.axhline(0, color='gray', ls='--')\n",
    "ax.text('1994-06', 15, 'Pinatubo\\nPhilippine\\nJun. 1991', va='center', bbox=bbox)\n",
    "ax.text('1985-01', 17, 'Chichon\\nMexico\\nMar. 1982', va='center', bbox=bbox)\n",
    "ax.text('1966-01', -8, 'Agung\\nIndonesia\\nMar. 1963', va='center', bbox=bbox)\n",
    "\n",
    "\n",
    "yticks2lat(np.arange(-60,61,30))\n",
    "\n",
    "ax = fig.add_axes((.23,.08,.6,.02))\n",
    "plt.colorbar(im, cax=ax, orientation='horizontal', label=f'AOD at 550nm', extend='both')\n",
    "\n",
    "for ax in axes:\n",
    "    plt.setp(ax.get_xticklabels(), visible=True, rotation=30, horizontalalignment='right')\n",
    "\n",
    "\n",
    "\n",
    "plt.tight_layout(rect=(0,.1,1,1))\n",
    "figname = 'figs/fig.aod550nm.cmip6.pdf'\n",
    "# plt.savefig(figname)\n",
    "\n",
    "plt.gcf().set_facecolor('w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-05-31T19:15:01.941335Z",
     "start_time": "2019-05-31T19:15:01.515165Z"
    },
    "code_folding": []
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1200x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 458,
       "width": 1051
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Global/SH/NH mean AOD at 550nm\n",
    "da.expand_dims('lon').geo.fldmean().sel(time=slice('1850', '2010')) \\\n",
    "    .plot(figsize=(8,3), color='k', label='Global')\n",
    "da.expand_dims('lon').sel(lat=slice(-90,0)).geo.fldmean().sel(time=slice(None, '2010')) \\\n",
    "    .plot(alpha=0.5, label='SH', lw=1, ls='--')\n",
    "da.expand_dims('lon').sel(lat=slice(0,90)).geo.fldmean().sel(time=slice(None, '2010')) \\\n",
    "    .plot(alpha=0.5, label='NH', lw=1)\n",
    "\n",
    "plt.ylabel('AOD at 550nm')\n",
    "plt.text(0.99, 0.98, 'CMIP6', ha='right', va='top', transform=plt.gca().transAxes)\n",
    "plt.legend(loc='upper left')\n",
    "\n",
    "# plt.tight_layout()\n",
    "plt.gcf().set_facecolor('w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-05-30T18:52:03.440296Z",
     "start_time": "2019-05-30T18:52:02.228740Z"
    },
    "code_folding": [],
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x900 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 883,
       "width": 1199
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3 individual volcanic forcings: Pinatubo, Agung, Santa Maria\n",
    "scale_factor = 1\n",
    "try:\n",
    "    da['time'] = da.indexes['time'].to_datetimeindex()\n",
    "except:\n",
    "    pass\n",
    "fig, axes = plt.subplots(3, 1, figsize=(8,6), sharey=True)\n",
    "cmap = 'OrRd'\n",
    "levels = np.arange(0,0.46,0.05)\n",
    "monthticks = range(1,13,6)\n",
    "\n",
    "\n",
    "plt.sca(axes[0])\n",
    "im = da.pipe(lambda x: x*scale_factor).sel(time=slice('1991','1995')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, ' Pinatubo\\n 1991', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(a)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Pinatubo 1991', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('lat')\n",
    "\n",
    "\n",
    "plt.sca(axes[1])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1963','1967')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, 'Agung\\n 1963', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(b)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Agung 1963', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('lat')\n",
    "\n",
    "\n",
    "plt.sca(axes[2])\n",
    "da.pipe(lambda x: x*scale_factor).sel(time=slice('1902','1906')).plot.contourf(x='time', cmap=cmap, levels=levels,\n",
    "                                                 add_colorbar=False)\n",
    "# plt.grid(True)\n",
    "plt.text(.99,.95, 'Santa Maria\\n 1902', transform=plt.gca().transAxes, \n",
    "         ha='right', va='top')\n",
    "plt.text(.01,.95, '(c)', transform=plt.gca().transAxes, \n",
    "         ha='left', va='top', fontsize='large')\n",
    "# plt.title('Santa Maria 1902', loc='left')\n",
    "xticksmonth(monthticks)\n",
    "plt.axhline(0, color='gray', ls='--')\n",
    "yticks2lat(range(-60,90,30))\n",
    "plt.ylabel('lat')\n",
    "\n",
    "for ax in axes:\n",
    "    plt.setp(ax.get_xticklabels(), visible=True, rotation=15, horizontalalignment='right')\n",
    "\n",
    "ax = fig.add_axes((.9,.25,.02,.5))\n",
    "plt.colorbar(im, cax=ax, orientation='vertical', label=f'AOD at 550nm')\n",
    "\n",
    "plt.tight_layout(rect=(0,0,.9,1))\n",
    "\n",
    "# plt.savefig(figname.replace('.pdf', '_PAS.pdf'))\n",
    "plt.gcf().set_facecolor('w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-10T20:58:32.172738Z",
     "start_time": "2019-01-10T20:58:31.353442Z"
    }
   },
   "outputs": [
    {
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