Datacube_Hov_vis_v4-ObservationCount.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Australian Geoscience Datacube\n",
    "## Observation count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The [Australian Geoscience Datacube](https://github.com/data-cube/agdc-v2) provides an integrated gridded data analysis environment for decades of analysis ready earth observation satellite and related data from multiple satellite and other acquisition systems.\n",
    "\n",
    "For instructions on using the Datacube on NCI, see: http://agdc-v2.readthedocs.io/en/develop/nci_usage.html\n",
    "\n",
    "For instructions on setting up your own instance, see: http://agdc-v2.readthedocs.io/en/develop/install.html\n",
    "\n",
    "This notebook touches briefly on some the implimented features of the Datacube module, and is only intended to deomstrat functionality rather than be a tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-06-09T11:09:06.502514",
     "start_time": "2016-06-09T11:09:04.805211"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab notebook\n",
    "#%pylab inline\n",
    "#%matplotlib inline\n",
    "import datacube\n",
    "import xarray as xr\n",
    "from datacube.storage import masking\n",
    "from datacube.storage.masking import mask_to_dict\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.dates\n",
    "import json\n",
    "import pandas as pd\n",
    "from IPython.display import display\n",
    "import ipywidgets as widgets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have set up your config correctly, or are using the module on NCI, you should be able to make `Datacube` object that can connects to the configured datacube system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-06-09T11:09:07.599525",
     "start_time": "2016-06-09T11:09:07.553759"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Datacube<index=Index<db=PostgresDb<engine=Engine(postgresql://lxl554@130.56.244.227:6432/datacube)>>>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dc = datacube.Datacube(app='dc-example')\n",
    "dc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datacube products and measurements\n",
    "The Datacube provides pandas.DataFrame representations of the available products and measurements:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-06-09T11:09:26.791512",
     "start_time": "2016-06-09T11:09:25.511427"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#dc.list_products()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datacube Measurements\n",
    "The list of measurements stored in the datacube can also be listed.\n",
    "\n",
    "Measurements are also known as _bands_ in the imagery domain, and _data variables_ when stored in NetCDF files or when working with `xarray.Dataset` objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-06-09T11:09:31.349727",
     "start_time": "2016-06-09T11:09:29.858159"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#dc.list_measurements()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#### DEFINE SPATIOTEMPORAL RANGE AND BANDS OF INTEREST\n",
    "#Use this to manually define an upper left/lower right coords\n",
    "\n",
    "#Define temporal range\n",
    "start_of_epoch = '1987-01-01'\n",
    "#need a variable here that defines a rolling 'latest observation'\n",
    "end_of_epoch =  '2016-07-31'\n",
    "\n",
    "#Define wavelengths/bands of interest, remove this kwarg to retrieve all bands\n",
    "bands_of_interest = [#'blue',\n",
    "                     #'green',\n",
    "                     #'red', \n",
    "                     'nir',\n",
    "                     #'swir1', \n",
    "                     #'swir2'\n",
    "                     ]\n",
    "\n",
    "#Define sensors of interest\n",
    "sensor1 = 'ls8'\n",
    "sensor2 = 'ls7'\n",
    "sensor3 = 'ls5'\n",
    "\n",
    "query = {\n",
    "    'time': (start_of_epoch, end_of_epoch),\n",
    "}\n",
    "\n",
    "#DEFINE A LAT/LON RANGE THAT CAPTURES A NARROW AREA THAT SPANS BOTH THE SIDELAP AND NON SIDELAP AREAS\n",
    "lat_max = -21.37\n",
    "lat_min = -21.378\n",
    "lon_max = 143.41\n",
    "lon_min = 143.26\n",
    "query['x'] = (lon_min, lon_max)\n",
    "query['y'] = (lat_max, lat_min)\n",
    "query['crs'] = 'EPSG:4326'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Define the Koppen climate class here - the text is passed into figure titles at the bottom of the notebook\n",
    "clim_class = 'Arid desert - hot arid'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'y': (-21.37, -21.378), 'x': (143.26, 143.41), 'crs': 'EPSG:4326', 'time': ('1987-01-01', '2016-07-31')}\n"
     ]
    }
   ],
   "source": [
    "print query"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retrieve surface reflectance data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Group PQ by solar day to avoid idiosyncracies of N/S overlap differences in PQ algorithm performance\n",
    "pq_albers_product = dc.index.products.get_by_name(sensor1+'_pq_albers')\n",
    "valid_bit = pq_albers_product.measurements['pixelquality']['flags_definition']['contiguous']['bits']\n",
    "\n",
    "def pq_fuser(dest, src):\n",
    "    valid_val = (1 << valid_bit)\n",
    "\n",
    "    no_data_dest_mask = ~(dest & valid_val).astype(bool)\n",
    "    np.copyto(dest, src, where=no_data_dest_mask)\n",
    "\n",
    "    both_data_mask = (valid_val & dest & src).astype(bool)\n",
    "    np.copyto(dest, src & dest, where=both_data_mask)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# retrieve the NBAR and PQ for the spatiotemporal range of interest\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-06-09T11:09:49.335761",
     "start_time": "2016-06-09T11:09:32.888099"
    },
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#Retrieve the NBAR and PQ data for sensor n\n",
    "sensor1_nbar = dc.load(product= sensor1+'_nbar_albers', group_by='solar_day', measurements = bands_of_interest,  **query)\n",
    "sensor1_pq = dc.load(product= sensor1+'_pq_albers', group_by='solar_day', fuse_func=pq_fuser, **query)\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "affine = sensor1_nbar.affine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#This line exists to make sure that there's a 1:1 match between NBAR and PQ\n",
    "sensor1_nbar = sensor1_nbar.sel(time = sensor1_pq.time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Generate PQ masks and apply those masks to remove cloud, cloud shadow, saturated observations\n",
    "s1_cloud_free = masking.make_mask(sensor1_pq, ga_good_pixel= True)\n",
    "s1_good_data = s1_cloud_free.pixelquality.loc[start_of_epoch:end_of_epoch]\n",
    "sensor1_nbar = sensor1_nbar.where(s1_good_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sensor2_nbar = dc.load(product= sensor2+'_nbar_albers', group_by='solar_day', measurements = bands_of_interest,  **query)\n",
    "sensor2_pq = dc.load(product= sensor2+'_pq_albers', group_by='solar_day', fuse_func=pq_fuser, **query)                  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sensor2_nbar = sensor2_nbar.sel(time = sensor2_pq.time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "s2_cloud_free = masking.make_mask(sensor2_pq, ga_good_pixel= True)\n",
    "s2_good_data = s2_cloud_free.pixelquality.loc[start_of_epoch:end_of_epoch]\n",
    "sensor2_nbar = sensor2_nbar.where(s2_good_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sensor3_nbar = dc.load(product= sensor3+'_nbar_albers', group_by='solar_day', measurements = bands_of_interest,  **query)\n",
    "sensor3_pq = dc.load(product= sensor3+'_pq_albers', group_by='solar_day', fuse_func=pq_fuser, **query)                  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sensor3_nbar = sensor3_nbar.sel(time = sensor3_pq.time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "s3_cloud_free = masking.make_mask(sensor3_pq, ga_good_pixel= True)\n",
    "s3_good_data = s3_cloud_free.pixelquality.loc[start_of_epoch:end_of_epoch]\n",
    "sensor3_nbar = sensor3_nbar.where(s3_good_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combining data from multiple sensors\n",
    "Having masked out cloud and cloud shadow affected pixels and calculated various indices we can now combine the measurements from the different sensors to create full depth time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Concatenate and sort the different sensor xarrays into a single xarray\n",
    "nbar_clean = xr.concat([sensor1_nbar, sensor2_nbar, sensor3_nbar], dim='time')\n",
    "time_sorted = nbar_clean.time.argsort()\n",
    "nbar_clean = nbar_clean.isel(time=time_sorted)\n",
    "nbar_clean.attrs['affine'] = affine\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#clean up per sensor xarrays to free up some memory\n",
    "del sensor1_nbar\n",
    "del sensor2_nbar\n",
    "del sensor3_nbar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 1169, x: 619, y: 91)\n",
       "Coordinates:\n",
       "  * y        (y) float64 -2.348e+06 -2.348e+06 -2.348e+06 -2.348e+06 ...\n",
       "  * x        (x) float64 1.158e+06 1.158e+06 1.158e+06 1.158e+06 1.158e+06 ...\n",
       "  * time     (time) datetime64[ns] 1987-05-24 1987-05-31 1987-09-13 ...\n",
       "Data variables:\n",
       "    nir      (time, y, x) float64 nan nan nan nan nan nan nan nan nan nan ...\n",
       "Attributes:\n",
       "    affine: | 25.00, 0.00, 1157900.00|\n",
       "| 0.00,-25.00,-2347725.00|\n",
       "| 0.00, 0.00, 1.00|"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nbar_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting a multi-band image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of time slices at this location is\n",
      "1169\n"
     ]
    }
   ],
   "source": [
    "print 'The number of time slices at this location is' \n",
    "print nbar_clean.nir.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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 = \"png\";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 overriden (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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA8AAAAHgCAYAAABq5QSEAAAgAElEQVR4nOzde3hV9ZU38NWL1Xqh2jrKLSQhBBIIBEIgQCAJSQhBEBEQY4AQgcj9GiAkhksgBEIg2lpaLMV6qZaqeEFBREBAUO6GSyCAJATEzus4dTqXvn1nprPeP357/fba+xyoBpnJ4Pf7POvZ++y9zz5n7/i0fM4hX4gQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEGQb3tGE9FeIvpHIvoHItpJRL3+xnPyiOg0EX3pPG8PEaVc4dhWRPQnIrro236SiP5Zzb8R0X8R0QNf8/3nEtFxIvpXIvp7Inryaz4fQRAEQRAEQRAE+ZZkEhH1I6LbiOh7RDSDDEibX+U5oUR0t7P+HSJ6iIj+TEQ/CXLse0T0DgUC2J9pRPQ5Ef3gq75xIsonovNkwP5dIvohEXX+Gs9HEARBEARBEARBvuX5kr76N7HfI6JhRPRXIorz7ZtGRK8R0Rj62wCuJqIy37YEInqfiL4gojoiWkIGukREdxDRvxDRfV/xfSIIgiAIgiAIgiCIJwlE9O9EFPY3joshA+X/IIPfDb79kURUT0T30N8GcKpznlC1rR2Zb6IfIvMtcwgRfUxEhc7+/s7rziais2T++vM7RNTpb7xvBEEQBEEQBEEQ5AbLb8j8Tu1fnaV/dgZ5TgiZb1pLvsbr3EpEjxLRBLXtu0S0j4gecR7/LQC/QkRv+bb9lIh+69uWTUTnnPWRZK5jNxE1JaKbiWgFEX1G5tthBEEQBEEQBEEQ5FuSW4nox1cZPxLbEFEtES1v4OtVE9FAZ30+Eb2h9uXSlQHcjMw3zpm+7VvI/F7xH9X8E5lCLSKi+8kAOEM957tkyrT6N+QCEARBEARBEARBkBs/nch8c1p0Dec4S+avIxOZ39v9JzKt0v9A5q8y/yeZkqsU3/MWkymy8ucZIvr1VV6vJQUC+HsEACMIgiAIgiAIgiBXSC8y/5TR9K/xnMfI/HVpIvNNcgkR/YXc37/9CZkWaZmZRHSZzLe9N6nzfI+IPiWiOUFeI54Mooc7z/kuEUWQF7cbiWgXmd8zvplMidYlIrr9a1wLgiAIgiAIgiAI8i3JTjLfzv4zmVblf3HW56tjthDRL9Tjp8lA81+I6P+Q+aeO+l7lNa70O8BDyfw15x9f4XndiOhdMt8c/5GIjpL5N4glt5P5lviPZL5p3kJE7a/yPhAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEaXT5DhG1IKImGAwGg8FgMJgGTQsyf6ZqTLmFvtlrvOW/9+0jCIJcn7QgIsZgMBgMBoPBXNO0oMaTW5re871v+vr+QEAwgiA3QJoQEb+7vyl/WN2MD1Q35YdzbuMPq5vZOVDd1DOHq+/lo6fMHD91D9ecvpdrTt/L1afNel1NM66vac71Nc35szMt+VJNC66racbna5ry+ZqmXHP6Xs969el7+Oipe/lAdVPefbIFf1jdzJ7/6Kl7+XC1O1WnzLHVp+/h6tP38PFT7nP3nmxul7tPtrDn0ufdeTKEd54M4c3HW/Mrx6L4lWNRvKGqPW+oas8vVcXwM0e78Asfd+RnP47lZ4524XVHu/LTR7vaYzcea8uvHIvil6pi+IWPO9rpP/JuXne0q92+oao9v/BxR37maBd7nnVHu/LPjvTgVYd789KDqbziUDKvOtybVx3uzSsOJXPZwb689GAqLzyQzmUH+3LJgXQucdb1rDiUbI9beCCdi/dncP6+QTx174M8Yc8wfmz3Qzxu9wh+dNcIHrd7BI95P4tH7BjNw7aPsZO9M5uzd2Zz1o5RnLVjFGfvzOYRO0bziB2jOWvHKLvM2jGKh20fww9sG8sD3x3P928bxwO25nG/LRPspG6eyL03TeGktyZz4ptTOfHNqdx70xROd/albp7IKW9P4t6bptj1pLcmc8sHOtn9qZsncvqWCZz01mRO3zLBTtJbkz3nSHprst0m+1PenmRfM/HNqZzwxnROeGM693xzmp3412Zy3KuzuevGWRz/2kw7ca/O5rhXZ3OXV2dz7Kv5HPtqPnf4/VyO/l0Bx7w8l9u9NJ/bvFDIEc60fr6IWz/7OIf/xkzorxeYWbeAW/1qoZ2QtYs4ZO1iM2tKuOVTJRzy0yVmKpeaWbWUQypKuVV5KYfqWbHMTHkph5Uu47DSZRxaZh7fkZjIYcuWubPUnfAly7j1wjJu/XgZRxQ5U2iWrYvd7W3mO1NQxpHzzHrkvDJum29GtrUpcJ8vx9jjZpdx1LQyjp5axh0mlnGHCWUck1fGncaaZcxjzjKvjDuON9Mp153YnDLuPHpZwLLLSGeyl3FclpmuDy/jriOWcfzwUu76UCnHDy/l+GGl3G2Ime6Dl3KPgUu5++ClnHC/WU+4311vGt6Leww06z3uW8I9B5jp1d8se9znHdnXq1+JWfZfwj0znW3pJZ5JTC/hxLTFnJi2mHv3Xcx9UhZx775mvXfqYrM/vYR7pzr7kxZxUp+FnNTbTHLPYjsp3R/3TN/4Iu7btZBTuj3OKd0e575xhd7p6q6ndpnPqR0LOC1mnnfaz3EnOp/T287mtHb55nGHuWac/bIv5MddPc9Ja+c+Lz1ylpm2s82y9QxObz3drEfMdB47Ez7NTOvpZhk6ldNbTTbLkElmu4wca58zwz1f6FRObzGR05tPMMumj3H6PeM5/e/GcfrdY83ynvHu9qaPcXqzCWYp2+4ey2l3jbHLtLvGcNqPRnPanTmc9qPRnP7jR822O3PM3DGS027P5tRbszj1hw9z6s0jOPUHD5n1Hz5st6fdns1pt2dzyA+izXOc86XdmWPPl/7jR817DPZ+5f3px/6R4/U55DnyWCbYY/W69trlWn802h3nWuz13ZpltwXsk/sg90aNPd8dI73n971eyPfb2deR1/K8ppxDfib65yOP7xpjfnbqZ+a//3Zku6zL+5Ofs++a7WP938LNIzz3x+7/0WhOvn2EALHJ//Cf6XSaEBHXHwnjL8+2vuapPxLWGK8RQRCkQWlCRLz3ZHM+frEFV19szqPH38bHL7awU32xuWdqLjbjs5fM1F1qypc/bcaXP23GFz81619cbsFfXm7JX15uyf/6WSv+0+UQ/uJyC/78cnP+/HJzvvxpM8/6xU+b8tlLzbj6YnM+Uh/Cxy+2sOc/e6kZ11x05/wlc+zFT5vyxU+bct0l97lV9S3t8kh9iD2XPu/B+lA+WB/Ku+oieXNtB95c24E3ne/Im8535DfOx/KGc/G88ZPO/PIncbzhXDy/eK47P382wR67tTaaN9d24DfOx/LGTzrbGfjoPfziue52+6bzHXnjJ515w7l4e54Xz3XndWd685qaFK44lcFPnk7jNTUpvKYmhZ88ncaVp/pxxakMLqsewJWn+nF5dSaXV2dy5al+nnnydJo9rqx6AJeeHMhFxx7k/KoRPP1oFk89ks2TjozkCYdH8aQjIznvUA6P2j+Osz7Ks5N7MJdzD+ZyzoGxnHNgLOcezOVR+8fxqP3jOOfAWLvMOTCWsz7K4+H7JvKQvZN56L5JPPiDKXzf7ml2MnbN4JQdszl15yxO3p7PydvzOWXHbM7cPZ0zds3gjF0zOP39mZyyY7ZdT905i1sN72L3Z+yawZm7p3PqzlmcuXu6ndSdszznSN05y26T/envz7Svmbw9nxPfm8uJ783lPtvn2OnxbgF3e6eQE7bO5x7vFtjp9k4hd3unkOO3FHLcliKO21LEnd4q5pg3F3Ls28Xc/o1F3G5jCbd1JvLVJdzm5aUc8Xsz4S8tM/PiMg77bRmHvWAm9LnlHPrcCjPPlHOrX5dz6K9WmvllhZk1FRz681Uc9rNVHP5TNU+uNvPTVdx61WpuvWo1h1eax02Sk7j16tXuVLgTsXI1tymr5Milldx2iTMlZhlZ6m5vt9iZhZUctcCsRy2o5OgiM1ELKrndIrNfnt9ukdlujyus5A5zKjkmv5I7zajkTtMqOXZKJXeZaJaxU53llEruPNlMl8fciRtfyV3HrQ5Yxj/qTO5q7pZjpvvo1ZwwcjX3eGQVJ2Sv4h6PrOIeWau450Nmeg2r4N5DKrjXsApOHGrWE4e6680j+nDvIWa99wMruc9gM0mDzLL3A96RfUn3lZvloJXc535n24ByzyRnlnNy/xWc3H8Fp/RbwX3Tl3NKP7OekrHC7M8s55QMZ3/qck7tW8apKWbS+pTaSe+11DP9eizhfgklnN5zKaf3XMr9upV4J8Fdz4hfzBmdF3L/2AXe6fi4OzFFnBldyP3bF5nHnYrNOPtlX+hPunue07+9+7zMqPlmogvNMnIeZ7aZa9bbFpjHMhFzzLSZa5bh+ZwZNsssQ2ea7TJyrEzkPPd84fmcGTKDM1tON8vmUzmz6WTOvHcSZ94z0SybTna3N5/KmS2mmaVsu2ci9/9Jnl32/0ke979zHPe/azz3v3McZ949wWy7a7yZJo9y/ztyOeO2HM64dTRn3DKKM27ONuu3jrbb+9+Ry/3vyOXQmzuY5zjn63/XeHu+zLsnmPcY7P3K+9OP/SPH63PIc+SxTLDH6nXttcu13jnOHeda7PXdlmO3BeyT+yD3Ro09X5NHvef3vV7o96Pt68hreV5TziE/E/3zkcc/yTM/O/Uz899/O7Jd1uX9yc/Zd832sf5v4ZZRnvtj9985jtPuGNkYcdiEiPgfz4bzf/wh4prnH8+GN8ZrRBAEaVAAYAAYAAaAAWAAGAAGgAHgGxDAn58J5b98Fn7N8/mZ0MZ4jQiCIA1KEyLizcdb874L4XywPpSffO5ePlgfahEpaKyqb+lBsQC47pKLUVkXFPtBLPPF5RYeOOvnCnoFs/La8ppnLxkI+58vQD9SH8L7L4TZ962vpaq+pT3nnroI3lMXwVtro3lHXVveVhtlIbzxk852+fzZBH7+bIJFrKwLkt84H8uFz0Tyi+e68/oziRbCgl8BsID42bM9+dmzPXn9mURed6Y3rzvTm5863deiV0O49ORALq/O5IpTGVxxKoMrT/Wz8NUALj05kIuPD+GSE/dz8fEhXHBsGOdXjeCpR7I571AOjzs0xk7uwVwe8eEEzvooj7P3j+fs/ePtuiA4e/94C+ARH07gofsm8YgPJ9hjh+6bxEP3TeIheyfzoD1TefAHUzzQTdkxmxPfm2vX+2yfw722zbNQ7bN9DndcPoyTt+dzr23zuM/2OZz43lxO2DrfQllwK+eQ5wmE09+fyenvz7SvK8cmb8+3r6ehG7elyGI3fkshJ7431+6P31LIsW8Xc+zbxdzpLXcZ9dpiC9/IV5bYZcTvl9pl6w2lLoSdEQyHPr/cYPiZcm61biWHPr2SQ9dWeDAc9pSDYAXf8CecZaUBsGC36fg8jlhRaaa80sB3RSW3WV7JkcsMciNLFX5LDHDbLvHCOHKpC+GoYoXfYhe6UQucx8UGvPqY6KJKbj/PADhmdiV3nFXJMbMMhjvOquRO0x38TqrkuDwXvV0eq+QuE9yJy3MwPHY1dx23mruONQDWMBYId8tZHQDgXsPNMnGoAbBF8AMrLXg79BxnYHu/g9r7DFoFqEkDnG2Z5fZ5fQab42Upz7H49Z3HolfhVz+28FX4TU0p47SkZZyWtIzTEx0EJzrjAFjDN72nA2ONXpm4hZzReaG77LqIM+IWughuX+QCVvAqqI0udLdFzeeurbICtsljD4I1gAWxbQu8OJb9AmBZhswwCA6bZUZjuW2Be36N5PB8g+AW08yy5XQvdv2I1Bi+e4IHiB4cBcOaRo+GUZNH3W0KgXE3p5lj/ODzI9NBeND3KtDVINZLfZ0auRrVwfArABbkCxrlHsiHAQLIYKOAbOeu8YEfEtwyKhC0d44LwGT/Jo9y3M1pgfdUH+PsC3gfTR61MPZfl4Wwwq0H1hrUflgH+dnr93AlIMuk3prVGHEIACMIglwhAQAWPALAXx3AglwA+KsDWL4tBoC/OoAFvADwVwew/WYXAP5KAA62DQC+OoDlW0EA+KsDOOg9BYC/6TQhIv77M634z5+FXfP8/ZlWjfEaEQRBGhQAGAAGgAFgABgABoABYAD4BgTwZ2fMr6Nd63x2pmVjvEYEQZAGBQAGgAFgABgABoABYAAYAAaAAWAEQb4VaUJE/PqxSN5VF8k76trynrqIK2JYl2MJiKUU6/wlF7IawLrsSi//4Oyru9TUU6wlRVtSeiXHyzY5Rr/m2UvNAgq7BNGC+H0Xwu317LsQbq9X8CsQ3lUXydtqo3hzbQfeUdfWA1zB77Nne/LzZxMsYNfWJPGamhRed6Y3P382gTeci+f1ZxJ5TU0Kr61J4mfP9rRAlufK+Z4/m8DrzyTy2pokLqsewOXVmR7cavxqGJecuN+uLzoxmBedGMxFxx7komMP8tyq4VxwbBjPrRrOMz9+2I4UZEkp1ogPJ1gMC2hl24gPJ/CQvZN5+L6JHgALggXGUow1ZO9kT4FV+vszLWz1UhdV9do2zxZTJWydzwlb53uOEzQLagW4KTtme3AsINbP67Vtnue1E7bOtxCWCYbkLpsftwCOfn2RRW9bVYZlS7EcBGsIt/6drxjrt2Uc+uwKbvVrg+BW68vNrFvJob8wZVhhP1tlC7GkFEvAG17pAjhi5WqOKK90EbzCAW+JU1q1xAWvFFj58SulVu0WKgAXusiNKq7k6MfdsitZti8w6G1fYAqw2s93tjlLwXDM7EruONNMpxlmYqcY6Ap4uzxm1gW+epvdN86UYXUdt5q7jTFlWD2yHAA7hVgJI822niMMhnsNq+DEB80EK72SUioLYAXY5MxyW3wlx0t5Vp/B7nM1gG1Z1gAvhlP7lnHf9OV2NHrTE0sNhJOXcWryMgvf1ORlHhCn93LKrxKClF51XWQeO5PRdZEtwbJLAbCv7MozAloF2YDSK110pR9L0ZW/xEqDV8ZfdhU2ywBYJmSGuy1slnus/1xyrOBXQ1JQ3HK6C0bBpEaiBqGCqoXxlUqc/GVRGnr+4ig5TuHObncgbAu4/GVX/oIsQaxeV9dgcS+P/evOMZ4CLA1GP9J1YVSQ6/bg1I9FuRdSGnZztruuCqQ86JXyLDmnLr/yw1ytZ9yWE1h25f/wQZ3Plpb5C7H0vdDn8qP6Sih3fq5pd+Y0Rhw2ISK+VNOC/3Q55JrnUk2LxniNCIIgDQoADAADwAAwAAwAA8AAMAB8AwK4vqZ5wN/Ca8jU1zRvjNeIIAjSoADAADAADAADwAAwAAwAA8AAMACMIMi3IgAwAAwAA8AAMAAMAAPAAPANCOC6GtPFcq1TV9OsMV4jgiBIg9KEiHjT8QiLPw3DXXWRvKcuwlMqpQuljl9sYUurzl/yFmJd/NQdXXIlx5134Kr3C4IFunJejV4p3zpSH+LZdvxiC1uYJe9P8CuP99S51ynw3VYb5bnWPXURATiWciyB8IZz8RauUma1piaFnzrdl9fWJFkkC5AFwmtqUvjJ02n28bozve3z19Yk8dqaJH7ydJotxPIXXgl4i449aNFbfHwIFx8fwnOrhnPRsQe54NgwLjg2zANfwa+MlGFJ0VXOgbEWtwLfwR9M4cEfTOFBe6byoD1Teei+SZz1UZ7F75C9k+0IgPXxUkyVunMWJ2/P5x7vFljwdnunkLu9U2jhK2CN31JoQayhGreliOO3FFqs9tk+h1N3zvIAWJAsSzlWQ1teV5didXvHvKbgN25LEce+XcwdNy3gmDcXctRriznqtcXcTpVhtXnZlGC13lBqAWwh7ANw6HMrOPTZFRz6TDmH/mYFh/7GYDh0bQWH/rLCINiBcOiaCg79+Sq3AKvCwe8qMxEr3RKsNmUGv1J6JaVW7RY6wF3sFmFp/PoLsnTpVbuFaillV/MdAM+r5A5zneWcwJH9MjH5TiHWjEruNK2SO0+u5C4T3UIsW3zlAFiP3h6fa4qxpAir+2hnRq12AfyQC+CeD63ylF/ZUqvBKw1UM8sDyqr6pi6326TsyoJXgJuptgmS73NRbHGsjk3pt8IFcPIyg1pVeCXgtdNHlWAllHC/HkvM+AEcvziwCEvg23WReaxQ7BmN4ZgiL2x1AZUuuBIAty3wFlvp/YJbf/FVeL5bdhUywx3Br6BVEKzhLOD1P0+O859Xw1gXSAkYZbsDwsy7J7gA1sVQfuRquPrLsq5UjKXAp9Fn8SY4c7CVee8kL4b1ur8gS4NYwTgo4JxtfhTbfX40+uEr+1SBlQerGqm6MErfB2f63fSIi2G5PwJkf5lYsIIq2a7QHXAv/YD3YdXzOvI8KQeTD0GCfVBwlXP2vyOX0+4Y2Rhx2ISI+HxNU/78cvNrnvM1TRvjNSIIgjQoADAADAADwAAwAAwAA8AAMAAMACMI8q0IAAwAA8AAMAAMAAPAADAAfAMC+Ozpe/kPzq+dXcucPX1vY7xGBEGQBgUABoABYAAYAAaAAWAAGAC+AQFcc/peTy9LQ6cGAEYQ5AZKEyLinSdDbOnV/gthvO9CuAeHGoayvu9CuAfCUlKl8arBqgurpKBKnqefHwzRfhRXXzTFWlKgVX2xOe+/EMbbaqN4T12Ep/Rq34Vw3lMXYd+nXOeuukjeWhvtKbzSHwLItQuCd9S1tcdtrY3mjZ90thDWhVgCXimuEhQLgJ863ZfX1KRYDMsIiGVd9q+tSeKnTve1JVhSeiUIFvT6C6+mH83ywHf60SyecHgU5x3K8WB40pGRnHcox4PhnANjecSHE3j4vom27GrI3sl2Kdgdum+SBa/Mfbun8aA9Uzlj1wwPojN2zeCUHbO5z/Y5tnwqYet8i04NUCmiktH7NFwFuXJeKddKfG+uLbbyF231eLfAQjth63yO31LInd4q5pg3F1r0Rr++iKNeW8zRry/i9m8s4ujXF3lKryyCX11i0dt6Q6ktwgr7bZlB8EvLOPT55QbBDn5DnzMYbrVuJYf+aqULYZk1FRbA4U+s5vAnTRGWgDiivJLbLHcBLKAV9LZbZEqsLGyLnYKsEgVfB7rRj7vYFfDK8VKEZUuxCt0yrA5z3MKrmNmVHDPLBW/MbLOU9Zh8U4gVO9WUYcVOMRi2M0mh2IFv17EGvfGPqvVcH4BHGwDr6ZG1intkuRjuNayCE4c6RVb3G7AKelMyAouwpAwrub97jC6zsvt1GdYAH3x95xME901dbsqvUso4rY+DYAfEUniV3nMp9+uxxPPYbnOWtvhK49fBbkbnhZwRt9Cue8Dbqdhsk1Isvc8pvsqMLjTIbTPXLaUSjErplS670kjWIPaXXQWDqkawrMtSXlMXW7WY5h4fnu++hkBYl2rJ45AZLiQVhgNwIxgWEGoM+kcVXAUUY/lwFYBiwZ+zPQBuQQAbgF1fkZen+EojVx0nwLfH3DvJ/RBA0Hc1AAcDsv+xXIuvIMtTROUvDnMgnP7dEQbH+v75P4DQr/uTPO/+YD8L+VBCj1OEZZ+jYayLyvR/E+rnoe+x3e48P/WHDzdGHALACIIgVwgADAADwAAwAAwAN14At5h23QHs+UYUAL46gIPdk28YwHquF4A97dU3MICrT9/j+Rt5DZ3q0/c0xmtEEARpUABgABgABoABYAAYAAaAAeAbEMDHT91jf83sWub4KQAYQZAbJwAwAAwAA8AAMAAMAAPAADAADAAjCPKtCAAMAAPAADAADAADwAAwAHwDArjq1D183vkz2LVMFQCMIMgNlCZExEdP3cs1F5tZJO67EG7hqFuT/c3Jgsz9F8L4SH2IBap/pK25+mJzrr7Y3APgqvqWdnuwEUQLoPV5zysAH7/YwkJY3vu22ijeWhvNm853tGgXyMs17aqLtO9f4CwAFiBrBAuYpRl64yed7QiIBa+C3cpT/Sxgy6oHcMWpDLtfACz75NjKU/1sW7Qc99TpvlxxKoPLqzO59ORAnls13OJ3btVwi15/+/PMjx+2+B13aIwHwFOPZPOEw6N4wuFRPOnISHuctERnfZRn4Zu5ezoP/mAKZ+6ezvftnsaZu6fbSX9/JqfsmM0Zu2Zwxq4ZnLl7ugfF+pjUnbM4deesAAx3e8dgtMvmx7nTW8V2PfbtYvs49u3iAMAKbHttm2fxK/t167O/+Vm2y/llKQCW9mdpgJbHbZ3HbTeW2Pbn8JeWGQg7LdCtf7eMw14oMw3QAuBn3RboVutWcujTDoDXVnjWw55aZSf8p6sMhJ9wALzSmXLTBh25zGmBFgAvdkC7QDVCL3S3aehGF7nb7P4F7nMEvu0L3InJNwC2yHWm40yn8XlGJXea7l3vPNndL8vYKS6KbUP0RAfEzrrGcLcxBr0awd1yVnNC9iru8cgq7jnCLKUVOnGoC2AZaW5OGlAegFT/pPYt8wA2JcO0RUtjdN/05Qa9Tmu0BrFGcN90B74Ofm0jtK/tWWPXNkB3c5uf9eOM+MWBCI5z8KswbJEbu8DC2KI3psiFrzQ/C341Yv2j8dTW+LsAACAASURBVOlve9aP5RgNU93q3GKaQak0NwtwQ2Z4UasR7MezwFo3Rwu89fP9bdCCQN2I7ADLgisYjv1ovmt8QJmSxZ+zz9OG7ANxsDbhAHgGQbIHwH6UOXCz7dH3TgpAtX/kHAH7/DjXAA12T+R+BGtkVhD23Ks7cg2Av/8w97vpEQNhaYgWsPpQ3P+OXO+51WtdsZFbxodhz3vxQ7vJo0E/aAj2gUFjboE+eupe++eoa5mjp65agnUnET1NRJ8S0T8T0btE1E7tDyGit5x9nxPRU0T0fd85phBRHRH9KxEdJqI+39ytQBAE8QYABoABYAAYAAaAAWAAGAAGgBsK4DeJaAsR3UVEPyCiJ4joIhH9kIi+Q0THieg3RHQbGQwfc46RPEREXxJRbzIwnkxE/0JELb7524IgCAIAA8AAMAAMAAPAADAADADfkAA+XH1v0D+Xfd05XH1FAP+QiP6TiLqpbTcT0X8Q0SNElERE/48MjiWDyQD3JufxTiJa7TvvUSJ6/Bu4DwiCIAEBgAFgABgABoABYAAYAAaAb0AAH6huetU/Y33VOVDd9ErXeBsR/ZWIEtQ2QXEFEU0notO+5zQjov8iohjn8R+J6GHfMU8T0avXehMQBEGCxdMSeN4pqTp+sQUfqQ/h/RfCLAr9cNQFWfsvhPGeugg+Uh/CR+pDLGxlXXBafbG5p4zqYH0oV9W3tMdKqZYu1hLcyv4j9SG2LEuD+0h9iH2fgl15v1KQpdEr17C1NtpT9KWft6cugjfXduCttdEBGN50vqNF8MufxPGL57rzy5/E8RvnY3ndmd621EoXWlWcyrD41SAuOvYgl1dn2pIrmbLqAVx6cqB9jjxfji05cT+XnLifF50YzAXHhnF+1QhbgCUYnn40y5Zd6ZFtEw6P4nGHxnDuwVwLXz3jDo3hrI/yOOujPFuI5S+3St6eb4uo+myfw8nb8y18M3bN4NSdszj9/Zmc/v5Mz3ry9nz7HCmvin3bFFLJtH/DFFHFvm0w7Adt/JZCi2R5HKw8K35LoWcEwQJged3Yt4vta0oBVtRriz3o1RP5yhKOfNUZpyRLyrBCn1vuond9Obf6dbktw2q1vtzMupVXBHDozx0I/8xAuPVqpxir0kVwmzKnCGuJi14puJICK9kmS8FvdKGL4QAYF7tFWO3nOwCe7yK4fUElt59XyR3mukVXnaY56FVLAW7sVGf7NHOsnk7TXQx3mahAPKHSBXBOYOlVwkgXwLLskeVg2CnD6vmQW4rV+4GVtgxLSquCgljKsfp5S7CkyEogLLD1F2V5nuOMBXDyMs+kJS0zhViJpS6CBbkavN1KbAFWvwRne9dFLnw7+5ZdFxkAKwRb+MYUeSDsQbCsC4Yj5rgFWP7Cq8h5Bp2CWz+U/fBtOT04hGUExLosS28LVp6lH8v5/a/tfw8CYj/6NGg1hqQQ6UroU/AKQKxCloWcA7N+Nz3iFmMp5GkkBjuvLbAK9p58qLXYl/Fft7/QSgDtHON5DbkmeQ3f6/tLo/QHCwGFWaooSyPV3pObsy2I+33/YXffLaO8YNWvrcq27L3T+FWw9pSQ+X/m+j2raw643xrAPxr9bQYwkfmd33eJ6B4yIH6KDICfJqJiIvrId/wtZADcy3n8n0TU33fMCiLa9g3cBwRBkIAAwAAwAAwAA8AAMAAMAAPANyCAP6xuZv8cdi3zYXWzq13j3WR+x/cSEV0mosVEVE1Ey+jq3wB3cB7jG2AEQf5bAwADwAAwAAwAA8AAMAAMAN+AAN57srn9c9XXnV88fzePGnc7jxp3Oz+cc9vXuca/I6I/E1FfMr8D/BcK/jvAP3Ae7ySiVb5zHCH8DjCCINcpADAADAADwAAwAAwAA8AAMAB8xdl7svnVrrEtGfQSEbUh81eXNzmPv0NEVUT0DBHdTkStiOhj8rZADyfzLXBvMsVYk8j8k0logUYQ5LrEAvjspWYWwVIwJfjUABXsygiSpXxKPxZE6u0CajmPlGgdrA+1UJalFFPpc++7EG5hXXPRLcgSVMvr6SIsAa5G7+baDvzyJ3G8ubaDRbEu+xL4yj45jzx34yedbQmWLAXAUoglyxfPded1Z3rzU6f72kIrAXDpyYFccuJ+Ljg2jIuOPWjRKyPHLDoxmEtPDuSiYw9y0bEHufj4EHuMlGLJcUXHHvQUYU0/msV5h3Js0VXeoRwPfrP3j+ecA2MtenMOjOVR+8dx1kd5nL1/PI87NIbHHRpjS7FGfDiBh+yd7IGwoFYgrEHcZ/scuy9lx2xO3p7Pie/N9ewXDHd7p9CiVRdgCVJ1MVbcliJPOZbsj3lzIUe/7uI15s2F3OmtYu64aQF33LSAY98uDsCvnE8DXAAc/foiT/mVFF+1edldRr6yhNu8bPArCA77bZnB7rqVFr22BEuKsH61klutW+ktxVpjEBy6poJDf+E+Dn/SKcNa7UzFao5YYRDcZnklty1xCrE0eB3Q2iIsDVxVcNVhrpn2813oRhc66/Mc7M5xlzH5lRwz21k6JVgxs519sxWAp6qCKwfCsVOd9SkujG0p1lT3uV0mVHJcXiXHjXcLsWwJ1igD4B6PuPC1EHaKsHoNM0VYvYabUqzeQxwED1ajQdzfwFcg68esIFkj2FNyJaNwm55ocCvIDbbP7u+11C5tQVZCibcMq5vCrwC4syq/il/sFmAJfvUIfhWILXoj57mjC7EExHJM2wL3OI1QKaKSgipBp6zL4+ZTvXAVvMo2f1GWHO/Hrz5WjpfSLH9RlryGH9tNJ5sR3OjiKRkNYV045QeTv7jqznFe2PoKrzwg0wi+ZZQLYz+OBWr+8i3ZLjDzI1iPArQuBJPnBCBagVhDMCh49Xk1ouXDBQVfgawuuJIPADSI+33/YXekKEvdD8+9lXsvAJb7q8ux1H0NWkSmPnwI+Hnq96lKwRozgHef9H6B0NDZfbLF1a7xUTJ//flfiaieiJaT++0ukfmnj94m863vPxDRT8ltgJZMJqILRPRvZP4d4N7f2J1AEATxBQAGgAFgABgABoABYAAYAL4BAbzzZIj9s9e1zM6TIY3xGhEEQRoUABgABoABYAAYAAaAAWAAGAAGgBEE+VYEAAaAAWAAGAAGgAFgABgAvgEBvONEK/vnrGuZHSdaNcZrRBAEaVCaEBEfPXWvLZQSUAqE9XYpnNJlVrI8Uh/iKcqS2VYbZQuodPnU5toOHhwLaq8EbV1wJccfrA/1/I6KxrRgONh7kfcg72dzbQe7b2tttIWsFF3Jc+TcgunNtR1sEdYb52N5w7l4W4r18idxFr/rzyTyujO9PUt/OdaiE4N50YnBXHx8CBcfH8Jzq4ZbFAtq5Rg9Gsxl1QO45MT9HiQXHBvmKcgS/AqA8w7l8Kj94yx6cw6M5ez943n4vok84sMJPOLDCZx7MJez94+3KB61fxxn7x9vS7EEw1J6lbFrhoVtr23zuNe2eZz43lxO2DqfE7bO5x7vFnCPdwu417Z5nLw9306f7XMCjpHSKz3xWwo9BVddNj/OHTctsGiV0qqo1xbbEcgKZnVJloa2Pk+7jSUc8+ZCbrexxAXwK24RlhRftd5Qaouvwl9cxmEvlHHYC2Uc+twKM79ZwaHPlNulB78aw0+vNOhdU8GhP19l8Ru6psIUYT3hlmDJsvUqF8GRpU4hVkklt1tcye0WObPQebxQwVdBN2CpwBsz28VxTL7Z1mGOs83ZHzPLRXDHmQ5gp7uw7TS9kjtPUoVYU5z1SQ6MJ7nrXSa6x9kyrIkGwV0eqzSFWGPc6T5aQdhBcM8R7mgMJz5Y4cFv7wdWWhALgpMGOMVYQcqxpAjLFmJJqVVKmafkyhZbOZC103OpF8C9lnoQnJ6o8NtjiSnE6rHEFmFlxC924aun80IvemU6Ph64TfDrYDgzupD7t1cIji50t+kyLCm9kqWUZoXnG2AGg28wGPsBLFjVz/OXVukyLF2k5S/D0sdfaeS1dRmWUwyVec9EL2R16ZNCpb8AyQJQY1nv19hTRVieciyNtGBYc1Csi7Gu9jyLwbvGe0Dqef+q3MkzDor1deuCrCvhOhiaA86lR+NS4dV+CKA/HLhllC3DutoHBPq+2UItXYrl/4BBzq/OJ2Vbcl65j573qYuz7sjltNuzGyMOmxARbzsRar8UuJbZdiK0MV4jgiBIgwIAA8AAMAAMAAPAADAADAADwAAwgiDfigDAADAADAADwAAwAAwAA8A3IIDfOR7u+bNUQ+ed4+GN8RoRBEEaFAAYAAaAAWAAGAAGgAFgAPgGBPDm460D/lzWkNl8vHVjvEYEQZAGpQkRcfXpeyxuz19qahGs4Vt9sbl9rNf1SGGVlFVpKErZ1NbaaFsOpQuoBK3yfMGrLq7ScNUwlucIwnVxleBVtunzba2N9hyjX9OPW3mvGs5ba6MtkAX1gt8Xz3XnF8915+fPJtjl+jOJnllTk8Jra5L4ydNpFrIlJ+7nkhP3c/HxIRa5c6uG89yq4bbQKr9qhMVx0bEHueDYMLtfwCvbZCkAnnok2864Q2MsgKX8Kvdgri26GrpvEg/dN8muj/hwggfG+hjZrzGcunOWB7bd3im0qO3xboHFruzrs30O93i3gBPfm2un17Z53O2dQnuMrOuJfbuYo19fZPGrsRv12mJut7HErrd1MCvbNJp1aZaMAFqeF/nKEo58dYkL4FcdAP9umQGwM6HPLzfgfW4Fhz6rACwIXm/QKwAO/ZUBsZRghf6igkN/aSbsZ6sMgJ0SLD+CI1auNgBe5kypd73tEgfAzgQrwBL0ti9wgavXBcAxs1wEx8w203GWMzPV0hkBcKcZbrmVxm3nSabsqstjLna7THS2qfIsu3SOjctzi7G6j3anR5aLXhlbguWAt/cQbyFW0iBfKdaglR4EJ/dfwSkZKzg504DYFl+leIuvLHwFsj29AO7XY4kLWym3Sijh9J5Lvc/TBVgJ7jFyfEb8Yrf86grTv1OxAbAzGZ0Xeh4HTEwR92/vHT+KLXp1WZaAOGKOi9xgo4uo/JAVBOttwVArJVdSZCXPkwIs/3P8z5f1ppNN8dO9k1wAyzY/6KQcSxc9OajUxU8BsNMI1iVV6rhgxVi6KCpYaZMHxBqJV9nnga0fwfr9+6Br78+V0K+PVWVaAY/vmei9P/77pq9dFVBpCPsxK4+lFCvYYwvZm7MDCq88903fP+ccFsQCYP3z03B3rqkxl2ABwAiCIIFpQkR8uPpei9zrBWB/g/I3DWCN3+sFYI3f6wlgwW/JifuvG4AFv/LN7zcNYI3f6wlgjd/rBWAPfq8DgD34/eX1BbBtgr4eAPbh97oAWOG325jrBGCN38zrBGCFX90SfT0AbL8dvh4A1vjVbc/fNIB1w/P1ALDGmvqm9xsFsO+Y6wpg9U3zNw5gjd9g4P2mAKyu+boDWH2zfKMBeNNx989F1zKbjkc0xmtEEARpUABgABgABoABYAAYAAaAAeAbEMCvH3P/LHQt8/qxyMZ4jQiCIA0KAAwAA8AAMAAMAAPAADAADAADwAiCfOPpRERbiOgzIvovIkoNcsydRPQiEX1JRH8koheI6Ee+Y4YT0Wki+jciqiaiBxtwDgkADAADwAAwAAwAA8AAMAB8AwJ447G29s871zIbj7VtjNeIIMj/gkQR0Tgi6kpEf6XgAN5MRNuI6C4i+jERvUdEb6j9CUT0f4loCBF9n4iGEtGfiSjua5xDpwkR8fFT9/DFT5ty3aWmfPHTphbBuvX5+MUWXH2xucWvH8VyvDRDV9W3tCjVCN1R15Y3ne/IGz/pzBs/6WxxKcDUKBVgylKXaQmCpT16T12E3b+5toMHp1troy2WNYx1+7O8t221UR74bvyks210luPl/Ftro237sxwnr6sRLACWefFcd9sGLRCWqTiV4cGwIFe3Quulxq4gWBddTTg8iiccHsWTjozk6UezAjAtx+UdyuFxh8Zw1kd5tuF58AdTePi+iR78Dt03ySJYN0DLctCeqZ5G6JQds+0IcKXlOWHrfNvC3GXz454GaMGztEEnbJ3PvbbN44St8znxvbm2RTpuSxHHbSmyLc4C2rY+sLZzWqEFu1GvLbaAFcy2eXmpfaxbnvW0eXmpd9urSwLw2/p3yzj0OQfAz67wND3r4ivbBL3eBXHo2grv/HyV2wD901XeeWI1t15tJmJFpZnySrcVWgFYxkJ4gdv6bJudBbb5Lozlsb/tudMMA94YXX7lK8IS7MZOVTPF3SZt0bYVerIquhIUO+CVFui48YHTdexqjn/UjLRCJ2QbCPcavooTHzQN0BbAqv3ZAvh+XzP0/e4+DeHkzHJO6bfCC+AUM2lJy2ybs6x7Sq8UZG17szQ7S8tznLvNg2RdnCXP90/cQm/Tc/siA9uOj5ttuhirfVHg4xgFXzWebQLgtgVmXZdgCYRlqSdsVvCWZml91gDWjdD6GA1mDVppdJZWZ1kPBmL/sQ7WLGxl3df87CnLUrjzwFCaoHV7tG4O1sfpVmEBmVP8pCGs2409cPO1Q8t40CePnef4y6s8S+fabcuzD8yeDwR8kA0Ar/5wQd8ndXzQDw5kmzRBy3WqpW5eFihb8H7/YTvp3x3B6d8d4dnm/4DA/+GDp1nb/8GDQNjf8O08bswAfuVYlOfPRg2dV45FNcZrRBDkf1mCfQPcytkeo7Z1cra1dB4/Q0Qbfc97jYjWOeuhX+EcOgAwAAwAA8AAMAAMAAPAADAADAAjCHJdEwzAg8l8u+vPX4hokLN+lIgKfPsLieiws/7AVziHDgAMAAPAADAADAADwAAwAHwDAnhDVXvedL7jNc+GqvaN8RoRBPkfzG/IgPavztI/O4M8JxiARxHRH4Ic+/dElO2sf0JEE3z7JxLR2a9xDh0AGAAGgAFgABgABoABYAD4BgTwS1Ux9s8z1zIvVcU0xmtEEOR/MLeS+V3bK80dQZ5zpW+A/xzk2L8Q0UBn/W99A3y1c1zxG+CxY27liXm3cV7ebfzsC3dx3SWDYYHvkfqQAPwKgGV0GZbG8ZH6EE+xlRRVbauN8iBYsLnxk872E0d5LMVSsu4vttp3IdzCVZAq0BZAaxzrYquttdGef+xdF2Dp0SiXsqsN5+L5xXPdef2ZRH7xXHfecC7eXoe8F7mODefi7Tx/NoHX1iTxujO9eU1NCj95Os0CuPJUP644lWGnvDrTgnjRicEWw7rYatKRkZx3KIenH83imR8/bBE86chIi2ApvZpbNdyDZzmXoFjOJQjW6BXw6uIrDd/7dk/jQXumcubu6Tz4gyl2MnbNsBhO3p5vp8/2OZy8Pd8it8vmxzluSxHHbym0hVfxWwrt417b5nGf7XM48b25FspynIxguOOmBRa6bR38CmxlXZdYRfx+qWda/24Zt95QyuEvGtQKdtu8bPa3eXlpYPnVi8s47IUyDvttmSnBetaUXrVab8Ab+oyZVutW2oKrAPBKEdbTKzn0F6oAy0GvXX/SKcKqdBBcYSZiRSW3WW4QbIuwNIRLKrndwkqOLnKm0ItdKbxqP9/dJriNmeUtvZJ1KbgS5ErZVadpDm59+NWlVp0nuWVYAuHYqWZf3Hi38Krr2NUcn+tCV0+3Mc6+3NXcLcdMwkgzPR5xyrBGuGVYiUMr3CKsIRW2/EoKsjyFWALg/isshJMGGAT3TV9ul31Tl3Na0jK3DCtpmVt8pQutNGA1fvVSSqtiF7holvN0K3GxLGCOW+giWEqwpNgqGICl8MpXgiXYtfvk+PZFBrttCwyCBb8ybeaa0QAOtq4h7C+4klIrjV8Zjd/wfC+OBbSCU8GtHg1mKcyS5wjW/FBzYGMLpDToZL35VLtuYeQvl9LY9eNTIyrYaPCqwqygBU43ZwfHn4BYY9I/cm6FeLnugPeqAGtxrEvENIb9498erIxL339dCuYAVZdRBYWqjNyPmx7x3IuA+6HGIliP/4MJeR9NHuWuP+zHoTe159Cb2nPITe0aIw4BYARBGl2u9DvAf6XA39/9KxG1cB4/Q0Sv+p63kdzfAb7aOa74O8Dna5ryF5db8OVPm1n8AsAAMAAMAAPAADAADAADwIEA1t8ep92e3Rhx2ISI+IWP3T9LXcu88HHHxniNCIL8L8nNRHQLGQD3dx5/T+1/i4i2EtFPiOhuInqXiF5X+xPIfMP7AJkW6AfJ/HNIcV/jHDoAMAAMAAPAADAADAADwADwDQjgZz+OtX+GupZ59uPYxniNCIL8L4g0NP/VNwvVMXcS0W+J6J/I/Du+z1Pg/9gMI/PvAP+ZiE6R+SeRdL7KOSQAMAAMAAPAADAADAADwAAwAAwAIwjyrYgHwJ9fbs6fX/Zi9uylZnzeAbEuupLxozhYaZYgWpdj7b8Q5imsknIpga6US+kCqWfP9uQXz3X3AFYXaAk4/aD2jzxXjtUFW7oUa2tttKcYS+NZn19Qu+5Mb882uRaBu14XOK+tSeInT6fx2pokW4JVeaofP3k6zeJXF2OVV2dyyYn7LWDzq0ZwftUInn40iycdGWkn71AO5x7M5ZwDYy1+ZQTG+VUjLILlfALocYfG8LhDYzjnwFgLXRldjjVk72QetGeqRW7m7ul2KUVYep9sz9w9ndPfn+mBccLW+RaxUowV+3Yxx75dbHEc+3axLb6K21JknyNFWfLcTm8ZBHfctIBj3lzoGYFv5CtLOOL3Sz0FV4La1htKOey3ZRa0rX+3zINdjV9Zhr1QZif0OQNfQbCMLb/S4P2V83iNg99fOAAWDDtFWIJfW4r1hItggXDESrcQyxZhLfOVYC00JVgawXraz3dh3H6eU4A12ynEmq0KsDSAp6tSKwe7cXmmzCp2iluIJdjtPMnFsJ1J7ugirLjxlRa63cY46M0xhVd6BMhdx3mPScheZUqxHjEQ7pFlRmCsC7FkpAgradBKTrqv3FOElZKxglP6eadv+nJPIZanGKvXUhexAliBauwCF7GdXcgKgOU4Qa4UY1kM+/GrzhVQfOVHsSA3piig9MqiV5dfCYBl2haYiZznIlhKsfQ2fymWBq1Grr8gS3Ar++W5/v261EojWGCmt+syK73PDzIBqyq08iBOn0eXYwUrePLjLtjoMij/awu0nFIsT3mTFGXdOjpoGVS/7z/sLcfS+JPyrCBADiirUh8KeO6JvwDLV5Ll2e//wMF5HPQ+Xel+KBB7wBrsQwEfjO09kfskIL45OxC9CsUW4vpn4SvPSr01qzHisAkR8TNHu3g+gG/oPHO0S2O8RgRBkAYFAAaAAWAAGAAGgAFgABgAvgEBvO5oV8+/SNHQWXe0a2O8RgRBkAYFAAaAAWAAGAAGgAFgABgABoABYARBvhUBgAFgABgABoABYAAYAAaAb0AAP320q/0z1LXM0wAwgiA3UJoQEdfVNOMvLrewCP7icgv+8nJLC2J/OdZ5tS7jh+/xiy0seA/Wh/LB+lA+Uh9iIXykPsSWYu2qi7TlWFI6JTB943ys+fTxTG9+9mxPXn8m0QNj+XRSfk9FChvk+X7cbjrf0QJUUCrHbK2N9hRmScnWrrpI3lobbdErBVjyfHl9XYgl55fRv0vz4rnu/OzZnhbNgl8pxHrqdF9+8nSapxCr9ORALqsewGXVA7jkxP12Fp0YbCE8/WhWUAgLZnMP5vKEw6PsvqlHsj0lWXK8fk7OgbE8av84zt4/nrM+yuMRH07grI/yLIClACtj1wxOf3+mB7fp78/klB2zOWXHbE7dOcuCN3P3dE7dOcsD5vT3Z3Ly9nxOfG+uHSm5EtRKuZWgVgqzErbO9+BZwCzLTm8ZRHd6q5hj3lzI0a8v4qjXFnO7jSUWvwJcgW3Ybw18LWyl2Oq55Rz63AoDW1mXkf1SgKXx+0y5i99fmWm1bqUXxL8w2A1d42BYrQuAg43GsAfAy10E6wIsAXDUgkqOKvZBuKiSox83y/bznYKsOZUck++Ad6aD3mmq7EovHQBrxErRVZcJbvmVLGOnqP0TvcfGjXeLsOSxLb4KAuDuo8xSirBkuo/ylWNlr7IFWQnZbjlW7yEV3Od+A+CkQQq/zugiLA+AM5wirPTlAQBOTTbFWOmJpUEB7EGrFGGpEiwLZLXNrgtwOxV7kGxhrV9DgdtThuXDr380hD1lWLKMnOcupRTLj2I/kMNmeUEsRVkCZSnK8pdXyWMpsboSaFtMC8StD7p6PIVOGsH+wiqNOl2MpV9D3pc81igOco4A8PmLsAReCl+6nCmguOkrFGMJiD0AFAgLGHUxln5f/nWFVk/Zldwfua9q3V6/hrD/mGD3X/Ar9yVYIZi6B57iLDn2llH2wwD9gYH+QMDeE30v9M9DY9jZ3phLsH55tBs/e7bnNc8vj3ZrjNeIIAjSoADAADAADAADwAAwAAwAA8AAMACMIMi3IgAwAAwAA8AAMAAMAAPAAPANCOCfH0ng9WcSr3l+fiShMV4jgiBIgwIAA8AAMAAMAAPAADAADADfgAD+2ZEevO5M72uenx3p0RivEUEQpEEBgAFgABgABoABYAAYAAaAAWAAGEGQb0WaEBGfPX0v/+HTZvz55eb8h0+b8WVn/cvLLS2Kv7zckv/1s1YeGF/81AWxtEMfqQ+x2BUEy2OBsB/E8lgwvKOuLe+oa2tblzeci7e/hyJ/HWdtTZLFo/4faTlOUCoQlvZn3Qa96XxHT+Ozbnj2w1lao2X0eQS1egTZz58N/OtHGu+CYD+IBcVPnk6zLdDSCl1WPYAXnRjMpScHcunJgVx8fAgXHXvQ0+g88+OHLYYnHB5lkSuN0LJdt0MLeHMOjLXg1ccEA/HwfRN5yN7JtuFZg1bAK9CVx/72Zxl5TurOWZyyY7aFcK9t8yyGE7bO5/gtBroC4Y6bFljcxry5kDu9VWxxLHjWiI55cyG3f2MRR7++yC4jXzUt0NIMHf6SQbCAVhqhBbOhv1kRIS2AxgAAIABJREFUHLnry83+X6307Gu13tkmLc9O+3OrXxsY233SBO2shz3lIPdJB7k/VeDV60+YFmhBr8C3TVklRy518Lu4ktstcgBcrPBb6CLYothpg+4wp5I7zHUAnG/w23Gmg90Zan2awaw0QHeZ6MBVgbfLY2Zb13GructjPhQrBNvtE8yxXce6Iy3Q8Y+62+Rx99EOcPU4DdC2CdppgJbH3UevNo3QI8z0GlbBvYZVBG2BFvwmDTAY1o3Qnhbovj4Ap5RxWp9STutTahqhey11m5tlBK9xXqhqzFoUC3xjFxjIti/ytDf3b1/kbZEO1gyt26BjirzPlRboK2FYj78ZWgNY4Bs5z9sEHTHHIFdD2I9ggXDYLANaaXzW4NStzBpTfpT6oerA0+JMNRfbfb424wDAakRr/ArOr9RArYHoNCR7mqel4dgPLcGW3qeO9eBXAdlCWLdDK/xqGAeDnz2HwrGGnwa9vQ712N4j/89D3zv9s5MPD/SHEbqFWl5Tg9gHXf1BgX/puTdBGqMDGqL1ffDdY/sBwZ3jOO1HoxsjDpsQET9xuJf9M8W1zBOHezXGa0QQBGlQAGAAGAAGgAFgABgABoAB4BsQwKsO97Z/w+xaZtXh3o3xGhEEQRoUABgABoABYAAYAAaAAWAAGAAGgBEE+VYEAAaAAWAAGAAGgAFgABgAvgEBvPJQH37qdN9rnpWH+jTGa0QQBGlQmhARV5++xwNgKcTSZViyrvcJhL+83JLPOxA+e6kZ11w0U1Xfko9fbGHLrg7Wh/L+C2G8/0KYB8LyeE9dBO+7EO4pxxJ8Cl6laGrdGfdTzfVnEgM+rVxbk2RBKUAVBGvICmz1clttFO+qi+RN5zvy1tpoD3p1mZUuxNKgXX8m0UL8+bMJdp8GvH6vcj1ra5Lsfnnvgv2nTvflylP97JSeHOgpwlp0YrBFcMGxYVx07EGeWzWc51YNtxjW+M07lMO5B3M92BXYZu8fzyM+nGALr7I+yrPbcw6M5dyDuZx7MJez94/nUfvHcdZHeTx03yQesncyD9ozlYfsnWwhKyi+b/c0W3SVvD2fU3fOstBN3p7PfbbPsSVYsk/262MS35trC686blrAUa8t5vZvLAoArSBXw7jjpgW2FKvTW8UW0DFvLuR2G0s46rXFHPnqEjNOMZaUYZmCKwe8el2Au24lt1pfboutQp/2FVz9aiWHPu3M2gqzXwqx1ir0Pq0e+wqwwn9qINx6tTOr3PXwn64yBVjllRyxcrWBb6mLXwvghe4yaoFbeGWXCsTtCwx+O8x1IDzHFGHFzHYgPMstxuo03SnCmuaUYE12wdt5sirFesyZCV4Ux42v5K5jV9viKwFwl8fcffGPrub4XHcEw93GuOVX3UcZ9ErBlSDYIvchB7rDXQhLoVaPLPO8ng+ZUqxewyo48UGnHGuwArED4eT+Ln5T+q3gvqnL3ZFCrORlnJa0zOA30ZleSzm951Lul1DC6T2X2umXUGJKshwUB2DXD1+FX41RAaxFtSrGsgVYwdAco84lgBX4qqUHwH78+vdFzTcI1ugV6OqSLJnQmWbCZnmXoTO9CPYVVnlKl5yl3eds00CzOJNjNaw0SHUBlgayr0jLotYPcD++9XvTI+fWJVOCOV2EpUup/FgOVvqk8SZFTwp6nkIswbGUQslISZa/LMsZC2J9Hb7r85RfOfD3rOt7qPYHu9eeeyT410VVweau8V4gq/ul75Pe5inHUuVZ+oMAeV7qrVmNEYdNiIhXHErmJ0+nXfOsOJTcGK8RQRCkQQGAAWAAGAAGgAFgABgABoAB4IYC+B4ieomI/p6I/khE+4goydkXSkT/RUT/QkT/rJZ3qOf/gIjWENE/ENGfiGgTEbX8pm8IgiCIBAAGgAFgABgABoABYAAYAL4BAVx20Ptnh4ZO2cG+V7vGjUS0m4h+TETfIaLZZJB7JxkA/5WIwq/yXtcQURUZ9N5ORM8R0dFv6D4gCIIEBAAGgAFgABgABoABYAAYAL4BAbz0YCpXnMq45ll6MPVq11hFRNPU49vIfOvbjdxvgCOu8D5vJqJ/I6JBattPiOjfiSjxmu4AgiDIFdKEiLjq1D1cd6mpLb8S8Grg/ulyCH95uaWnBEtG8CylWALg6ovN+fjFFnaO1Ifw/gthvO9CuC3BEujuqov0rO+7EG4LsbbVRvG22ijeWhttsfns2Z62+EqQKKVRUtog26QoS5dUSYGVBrEgWIqwBN8auhvOxfPLn8RZjOv3oQHsR++zZ3sG/Lt68jxdeiVgln1Pne5r/wrSU6f78pqaFH7qdF8uqx7gQbAUYWn4+iGcXzWC86tG8NQj2RbBUnoloBX8CmgFwoLhER9O4OH7Jtrl0H2TPDNk72QL4UF7pvLgD6bYIqzUnbMsZFN2zLaPE9+by322z7HAlZHH8hyN5MT35nLcliI7AtuOmxZYBGsQ68exbxfb4wXKclzUa4u57cYSbruxhFtvKOXWG0rdAqznlntLr1TBlZRftfp1uQGslFn9fJUpsnIm9OfO/EKhd61vXSP4F0HKsCoVglebAiyL3xWVAUVYbZc4U2JKsKIWqCl28KsB7IC4/XwHwXPcEqxgAJaRYqxO0xR4FXrj8hSAJyrgCoDHrXaXed7n2cIrB7+6FKv7aAfAYwyCZdl9tAPikasNbB349nzILcPqkbXKRbNse8SZLKcUa7gBceJQU46VdJ8D4MxyTulnirBsCZaeFHfSkpYFArhbiUGvgnC/HkvMdmefBavgVxVYZUYXGvT6i6cEnqq8yo6cSyM4Ru0LUoDlKb+S1whWfqWP0SVZAl1BsMav3idlWP4SLEFwyAwXwQJhjS0fIgVLnsKpKxRZ+aGrAZpxW46LUAVhD950mZMquvK8jmz3F2OpYqj+P8kLxKwGn4LfFcuxFPJsaZMufpKSK1UCpUux7NJXmOUpyVIwzLhllPu+/LC/2qgPJzwfEMjP1I9+H6Y1gD3FXHJ/fD8zT3mY/oBBo1gXivmu0/NBgQ/HqTeP+LYD+BEi2klETYnoJiIqIKKzZHAr3wBfIvNXnPcS0RD13E7O/nt95zxDRFO/sbuBIAiiAgADwAAwAAwAA8AAMAAMAN+AAC45kM7l1ZnXPCUH0q92ja2IaAuZb3r/nczvAvd09t1GRAlE9H0yIB5FRH8hokxnf28yAL7Zd879RFT0jd0NBEEQFQAYAAaAAWAAGAAGgAFgAPgGBPDCA+n2n0/8upP7dDwn5oRxYk4YJzzS6krX+B0iOk9E64noR0T0XSIaTET/RObb3WD5DRH91lnHN8AIgvy3BwAGgAFgABgABoABYAAYAAaArzgLr/wN8I/JfPMb69t+hIjmXuG9rSeiF531YL8DfDcR/T/C7wAjCHKd0oSIuL6muS24uvipgfDFT5vyHz5tZvGrC7H0aCh/frk5X/60GV/+tBn/wVle/NSA+Eh9CFfVt/TAV0awu/9CmAfBGr6bazvw5toOtpRKkPrG+VjecC7eQlTKotbUpFhcStmUFGIJouV5GsYvnuvOG87F23NL+dXGTzp7yrAE4YJvAa2UWAl6/cf535O8L3nuU6f72mMEvpWn+lnUC4SlGOvJ02lcenKgLcIqPj7EQldKsWQpKC44NswWY004PIrHHRrD4w6NsRjWJViDP5jCQ/ZO5sEfTLHgHbJ3si3HEiwP2jOVM3bNsKVXGsND9k4OOEYKsVJ2zOY+2+dwr23zuMe7Bdxr2zwLXFnv8W6B3dbj3QLu8W4BJ2ydb5/T490C7vZOoYVw3JYijn272E7Mmws5+vVFFrZ+7PqBLNvbvLyU27y8lFv/bhmHv6QKsZ5b7hZhPeMUX0nZlWBV5mervCVWT5jCKj32mKdWedAbusase/D7xGqzdAqxZFvritUGv1J+JQVYDnwtgBebiSp28OuA1xZiFbrTvsAtwtL4jRH8znIxHDPLKcCaYkqwYqc4RViq7MqCdrwL3q7jVtvyq67jVrulV84+f9lVfK673i3HhW7CSBfCGr0J2avsY4GuLsmy0B1usJs4tMIiWUb2yfQZ7JRhDVrJyZnlnDSg3JZh9U1dHoBgKcFKS1rGqckGwv16LPEUYKX3MuMBsABZirHiFpoyq46PGwD70SmFUhqfglU9cqxAVMquYorsuT1obn8FIAcrw9Lrgl/93iLneQEshVj+bQJgKcAKz/ciWGNYAdIDWkGNH7c+UNnSqyAA9uBXo0lj2P/aTtlTQIGTwO6u8d6yLI0/waAD7CuWcvmhp/DmeX8+LGfcOtoDOV3qpJHswa8Dvn7ff9iFsQJgv5se8T5f7pnvPtlr8aE2oAjLdy891yFo1vuC/ezU8R5I+9flPQbBccAHB/Jhgbofco/6fm9oowVw8f4MLj058JqneH/G1a6xmoh+ReafNvoOGcz+XyJKJfNXnKPIfDN8E5nfF/4zecH7czKtzyHOOZ4jA2gEQZDrEgAYAAaAAWAAGAAGgAFgAPgGBHDhR5n2b4pdyxR+lHm1a4wgoteJ6P+Q+avPJ4honLNvHBF9Qubf//2CiD4koqG+5/+AiJ5y9v8zEb1FRC2+0buBIAiiAgADwAAwAAwAA8AAMAAMAAPADQUwgiDI/6oAwAAwAAwAA8AAMAAMAAPANyCA5380wP754Fpm/kcDGuM1IgiCNChNiIg/O2OQ+6fLIR7E1l0yCP7icgsLWkGtvwDri8st7D55rszFT82cv9SUz14yBVkC4YP1obyrLpK31kZb8G6u7cDbaqN4R11b3lobbYuw5JittdEWxbIUmApudZmUlEdpaEpRlWzTx68/k2iLrgTCcm4BspRcyQQr5Vpbk8TrzyR6irj85Vcawn4QC3KlhKLyVD+uOJVhEVx5qh8/eTqNK05lcHl1pj1O/g9L8Csj+BUITz+axVOPZPOEw6M471AOTz2S7cFw9v7xFr9SaCWjC7KG7pvEgz+Ywvftnsb37Z5mESz41UVacqwck7FrBqe/P9NTfiWTsHU+d3unkLu9U8gJW+dzwtb5HgDHbSnihK3zPUjW+3UxVqe3im3ZVduNJdzOwXDkq0s48tUl7vorS2z5VcTvl9ptEb9fyuEvLuOwF8psKVbYC2UGws86EF5fbgqsfqkA+3MFYAFspW+cYqvwJ1Z74Ospv3rCW36lH4dXuiVYUoAVucwtwBL06gKsdgvNCIRtGVaRU37lFGC1n+8AWPDrQLjDHBfCHWea6TTdjOC38yQF4YneUiyNYAteVWxlASzYHRMIXIFvQvYqsxypHme7hVYaurroSrZLOZZnHOwmDq3g3kPU8kEzvR9Yyb2HVHCf+00pVtIAM8mZ5ZySYYqxUvqtCISwg2FdhmXLrxJKPMVYHgQ7kxG/2GJYF1llRhe6wAyGTI1NjUxnNG79RVj92xe5ONYIDlZ6pUEs70Xw27bAi1v/+7nS6P0C4ZbTzbSY5gJSYVKAY0EmGA4CWD+w+t81PrBQKlgBlf8cwWD9k7yAkqf+dwUp0QpWBiWYdvZ5IO7HnjyW9xsMhII6Aa8PdgEYViVQVwKxRbFGsDzPuffBgJ1xW4593/Ze6PIrdR/1hwkB9zcIsD3FaPo4/wcYGtf6scaxKkLzXJuvRKwxA3juhwO5+PiQa565Hw5sjNeIIAjSoDQhIr5U0+K6A7ju0vUFsHxLez0BrL8hvl4A1sdcLwAXHBvG+VUjriuA9be/1wvA8i3wdQWwg9/rCuDK/wYA+9qfrxuAp11nAI9yoXvdAKy+7b1uAHa+8b3uAI6af30BLK93PQGs53oBuMmjXgBdLwAHaab+xgEcDPffMID1N8HXBcDys7ieAPbfHwAYAEYQ5FsTABgABoABYAAYAAaAAWAA+AYEcP6+QZ4/BzR08vcNaozXiCAI0qAAwAAwAAwAA8AAMAAMAAPANyCAZ+4b7Pn//obOzH2DG+M1IgiCNCgAMAAMAAPAADAADAADwAAwAAwAIwjyrYinBfrPn4XxF5dbeFqfZXQLdN2lph4kf365uafoStZlBL81Fw1+qy825+MXW3gArNug910I5/0XwnhHXVvedL6jbYDedL5jQCv0G+djPe3QMoJWAakgVFqfdTuzwFfQ6m90FhxrAMs5NH7ldTR4ZfuTp9PsdlkKzOWxf6TlWZqgZcqrM7m8OpMrTmV4HpdVD+DSkwPtP1uw6MRg+7j05EBbfjW3ajjPrRpum6CnHsnmSUdG8qQjIznvUI5FcO7BXB7x4QQevm+ixevQfZPsurREC3p1C/SgPVPtNj+cBdQa1Sk7ZnPy9nxO3p5vUSvIFfjGbzEYjt9iGp8Fx7JdQ1nWdTt07NsugnXTc8Tvl9qlBbDT/Nz6d8vcEqyXlhkE/7bM2wr9/HIO/Y1BcOivVtoJaH9+QgG20oVs69WrufUq1fD8hJpK9xgN5fBKp/m5vNI8X9YrHAyvcAHcdokBsEWvQFjwu8DdLq3QtgnaAXCHOQ5+VfuzbYQWAM9QDdCT3LH4neh9HJdnENzlMW8jdNexvqbnMe5691EuhKXVWXCrG579czUEC5Zt67MCcK9hLnj7DF7Jfe438O09RG1ztifdV27aoR0QJ/df4cGwBXDSMhfAThmWBbAsnbFA1gCOW+hO54Wc0XUR9+9UbKZ9USAYBZx6GTLDbVIOnekeL2htW2DxaxEcpCE6oHE6GMKDtTzrfYJkBXLP8fo5uhlaWqFbTDNt0P5GaIGTtClr7AgmHcxm3Do6AJIerPkhLED2n1ePs12DNijOFOA8KNZN0vJ8H44Dipz8EJR9cp3qWmTd8yGBH8m+dueM23Js83NAMZYuyLrpEYtney4Fatlu4RmsjTvY/fHfg2Dol3umm7T1hxrys/ffN4Vue14/gPW9UPcp9dasxojDJkTE0/c+YP8//1pm+t4HGuM1IgiCNCgAMAAMAAPAADAADAADwADwDQjgqXsftP804rXM1L0PNsZrRBAEaVAAYAAYAAaAAWAAGAAGgAFgABgARhDkWxEAGAAGgAFgABgABoABYAD4BgTwpA+G8syPH77mmfRBo/w9ZwRBkAbFA2BB8J8/C+M/XQ7xwPfLyy0927643MIWZp13yq7OXmrmGdmmC7EEwtUXm1sQ11xsxlX1LbmqvqXF774L4bynLoJ31UXa2VMXYREsRVm6CEuQLPh943wsbzgXb8G64Vx8QFmWFFWtP5PI6870DlpKJbB96nRfT3GVH8sarwJn2V55qh+XVQ+wENavJVCW0a8vZVcyGr1SdlV6cqBdX3RiMJdVD7AoLq/O5NKTA7mseoAHxgLhYAiWUqzcg7mcc2As5x7M5VH7x3H2/vF2sj7K46yP8jzFVoP2TPUgOHP3dL5v9zSL4czd0zn9/Zmc/v5Mztg1wx4rRVgyqTtncZ/tc7jP9jm21EqQG7elyOI3bksRx28p5Ni3i+0IdLtsfpzjthQF7Ov0VjHHvLmQo15bzNGvezEsRVitf+eWXQmCBb+exw6CQ59fzqHPreDQ36zgVutW2pFCKymykjKr1hXOOPC16z4ct64wkG2z3C23ilhRyRHlle72MuexU4AlZVgRK5wyrFKF4MXOLHQKr/QUmaW/ACu6yAC4/Ty3AMsCON+UYAmCO00zAO482TvBACz4jcvzlWPlVXoA3H20O4LYhOxVZp8qxOqRZQqsBLE9RygAZzmPFX57DXcRLPt7Dauw55BjbBHWAw5yBxnwJg3yzX3lFsBynGxLzix3C7FSvIVY6YmlnNan1MDXwa8txVLb+vVY4inAyui6yODXmf4xRXYsQENnumVTgl9Bb8gMF40tp3tLqfwQFaQqFNsCLsFv2wK3/EpGyq80yDV0BbcCYP9xsj1IaZcdQXDzqV4Ia3RqQDrjLzyypUyCIYWeYBC6IqT0OYKVVjkwDYpcjVo/BoPgL1hplgW2vCeBnC70UtD1oNh5vx7sagT7R+3X5Vjp3xnO6d8Z7gGyRq9d6kIpff/9KP7/7N17WFfnlS/wNb1MetqpvZ42igiIIKCAIoqKF0RANEq8BQkaNSrBC+IFFUUUEUSRS2wTG5s0NxMTY2JiTDTGaKImJEZj4iXeFRTFzOnkTE87mZ45nWe6zh/vu9693vf3w3SktoSs9Tzr2Xu/+937t/fGlnw2+oU/CwoWu3O2HRKmn6nPvVOYlRt05X6OnxcX1suNH83wfR7spcHQf8pujThsBwCYe2gc5n+c1eLOPTSuNd6jlJSU1C2VAFgALAAWAAuABcACYAGwAFgALACWkpL6WpQAWAAsABYAC4AFwAJgAbAAuA0C+IGD92DesewW9wMH72mN9yglJSV1SyUAFgALgAXAAmABsABYACwAboMAnn4w03xvb0lPP5jZGu9RSkpK6pbKANgF72fX2+Nvmzrgb5s64Bc3OuHvmwINjF0IN15X0CXUnm7sYAGXQExjJxsDzPbJxgAzduxqIB6/2tE6x8nGADzZGICHrwQbEBN0KQSLwEsBWNsuxRnkEoQJxhSitfNytMHw9ks9TNAVhWERQCmAisKoeDAVD6jacHaogTQBmDDM5xCYecgVfQ5fEn7551SdSbPCr6rOpJngK47c4pOjDYI5fGluxenhWHIqA4tPjsaiE2Nw8fHxWHA80/xVp7xj2RaCKRCLlgTjzPdzMeuDHBxfN9MKtyLQEnI5il3oUnMI8+MG7yvAxLcWWximwCsO2pjXijHmNV8Ix7ymgq+6v7oSo3aUmH3UdHzkKwrCYS+tNqFXFIbV+Xkv8MrqZ1QHPb0Og55WCO70m0rs9LjqoEcUgIN+pSHsJxQr5EEVWmWBuNoLsuqy1gNs+OpaDCuzt8NXMyATgPVxfC7Bt+tKtW6FYBV7wVcGv4Uq+IqW3Qu8MCwTiMUQHDO3FmPyVZsgLA3g2DkMuQy6PR/QIVgUijVDda/pLASLBWFZIVdZHlT73eONmyCr8V6YVeJYe2n2j/dAzMOveBgWD7wywVejWOjVcB14le71oOGVXhCWxu+QlLVmmTykwsIwBWGlJJabwCuDYBaIldq71IMvIThuJQ6LXaE6ejkOi15uIzRymcIpITJovgJvwFy1pA6c5wVLUdAUjRE0KUBLw3hY9yLvMygMi4diRSz1EEsop3O5IVd0fbTOj71ZqBcPw6Lr5cFYGko+eHRDpH40wwIhhT2lfWeSfwgSflxgcbT6Q9X3p9pBWDzsqTkIs3nmHu6cbTfdF3sB4INyJ8Qr7XuT7WAoBnY3GMt6LoRWF7J3ZHshWCwMy+rmQrLcYCkCsfMCwLxAoGfo57lb4WcuiP21GybmANn6PP6c2PMa+v2JrRGHAmApKSmpZkoALAAWAAuABcACYAGwAFgA3AYBfP+BTMz9aFKL+/4DAmApKam2UwJgAbAAWAAsABYAC4AFwALgNgjgKe9kYc7RyS3uKe+0yl/1JCUlJXVLJQAWAAuABcACYAGwAFgALAAWAAuApaSkvhbVDgDw3NmfY9P19vj7pkD84kYng2AKuqKlO/bFjU5mfuP1O03zUCyO2GNXA00TjM81tjfhWBzQBGNaP93YAeuuhODe+gjcWx+B+xvC8UBDmAnC2nE5FrddisNtl+Jw84UE3HKxjwm+ot5+qYcJy/IXmkW95WIfnyAqQizBkyBKIVMcuXQMBzS1C2reHMUPnR3iE4DlBmFVnB6OFaeHGwgTcgm4padGGRzzfaWnRmHRiTFYcioDi06MMYFYBOD5n0zAvGPZOP3oFPPNL/ejSTj96BQLwTwQa2zdLBxbNwtHvzcbRxycawVhpR/Mx6T9CzH57QU4eF+BWadO2r/QjA/eV2C1v7GB+xZh7zeWGeBG71yBMa95IVd8nOBLgVcEZTrG3Y7euQIjXl6FXbeXYtftpRj24mqDXRV2tVYtaf3JdaZ5AJYB8CMawI/YgVghGzSAf6HXa3XoFQuw6lLhBV2FrbExG7FCY7akFsNLvWVYud3mGI3fiBUsDIuFYkWsYGFYRRq+i1Vz7HYvYCAmDC9UHc3CsDh+TRDWTIVejuG4HA/DvabXWADuNc1GsAm8onCre1V4FYVemeYIHu+EWWnQJo5R2yY0y5k/4G4VdjUwY72H3gyvOXAHD1vnwZeNJaV54E1KVdtJqeu8QCzdQweWW6FYKYlqO6V/mQ3h3qVeEFYPLwjLArBGqRVQxWFKECVMugimdQIywZKvEzQpHIsCstzP4CFWHMI3Qy1HsItnHqBF8wnmFPBFIO6Y72GQIMwDsjhC3WAkHgRF4CWs3ZHt4Y0FZBlMuuFJHGgENgeVw74/1RdiHMUcYHzMhf3PZ9n3+7OZdhAUbx7Qxa9b7zMA5njmCHabhWEZIHMo07Zun2As/nKB5jsvHujlgc8LBBeu7rPkXwu6V3oZ0NyzZoFl/oBshW79JAeH/nBya8RhOwDA+96513zvbknf9869rfEepaSkpG6pBMACYAGwAFgALAAWAAuABcBtEMDZb2eb79kt6ey3W2XStZSUlNQtlQBYACwAFgALgAXAAmABsABYACwAlpKS+lqUAFgALAAWAAuABcACYAGwALgNAjhr/ySc/OG0FnfW/kmt8R6lpKSkbqkEwAJgAbAAWAAsABYAC4AFwG0QwJn778NJh6e3uDP339ca71FKSkrqlqodAOAFDWBKfqZl0/X22HS9Pf6uqaOFX2pKgSYE0zF0js/08Zc1hjmITzd2MGME4ZONAXj8akc8djXQAJggTcfQnJONARaIKRWaQEspz5svJBjYUko0b54iTcttl+Jwy8U+JhWaUptdhBIoK0+nm646k2bt4wAlkBJaCbobzyWZz3GB7SY+07E8Abr01CiDWWr63PJP78LK0+kWiGlO8cnRVhI0JUDnHcvG/I+zMPejSTjr2EQLv7wnfzgNpx6Zilkf5GDm+7k4+r3ZOLZuFo48lIcZ786xkqFHHJxrkp0pAZoSngm5A/ctwoF1ZMD2AAAgAElEQVT7FmHiW4sx8a3F2H/vEuz7ZqFJgaYxGk/YsxTjdy/DuN1F2HPXcozbXWTwG/u6Snd2AUxjNB61owS7bi/FyFfUnPDtpRjx8irTka+UqCToreUmFdqAmAD8RCV2+k0lBj2q8Bv06HoM+vV6G8C/0vh9qBqDHq62E6FrNYB5+nOFB9+wcp3oXOphN6JYL1fYiI1YocYt3LK0Z2seW49YofG73N6OWlqLUUs0fhd4qc8GxAtqMWaegi8BOHq+GovNY/Cd6SRBUxq0Bm9cjk6BzmEQZgDuM0mlQPe5T633uU+DONtLcu4/vtoAd2CGSm1OHOs1pTzz9kmG5lAmBI9aj4NGquYAJhQPGlGp9o9Q6c8cukNS1uKQ5LX2NnWyt0xOqlAI1hhOHlKhAExNEHYR3GMlDosp9rp7kZ0GzVHK4UmY7LLYS07ukGfDl5KUqf0lRwfOs9OYKTU6eEHzCc9uE8j5dRGMCdkcwvxcfC5Pr3ab3wclJv8016w3mwiswWQlFGsEp377Xi85mpKh293vH1wMaG7Csln3l8jsAG3YT7ykaHMPfJ0Soum+nOMM6lyg84RoF8oOfN195v55MjRPyqZmGCcsUzK0D455ujRLmfaX+mxBt7lx51laz4CnOtPzZWnh1nMkADsp4gJgKSkpqa9WCYAFwAJgAbAAWAAsABYAC4DbIIDv2T/Z/G2tlvQ9+1vlPUpJSUndUgmABcACYAGwAFgALAAWAAuA2yCAx+2bglkf5LS4x+2b0hrvUUpKSuqWSgAsABYAC4AFwAJgAbAAWAAsABYAS0lJfS3KhGDx8CoKpSKcUrgVR/LnTQH4+6ZAn2Cs3zV1xC9udMI/3gj2ATMBmUKxzjW2N0FXPCyLtt19hOPjVzvikatBeORqEB6+EozHrgbigYYwPNQQagKxKBRr84UEfPx8Im6+kGCFYVEg1p76SCsAi4K0tl2Kw60X402YFp2HB1VVnUnD8k/v8gEvBU2VnMowzXFK++hYCsGi0CsCLg/ZKjmVgcUnRxvI0jjft/j4eAu2JacyLIRzLC8+Ph4XHx9vArDmfzIBZx2baABMCKYl7SMQE4qnHpmKkw5Px6wPcnB83UwD4fF1M61grJGH8nDkoTwTipXyznxM2r8Qk/YvxMS3FvtAlwO39xuqE/Ysxb5vFmLvN5Zhz13LLSDTOM2P212EcbuLTLAVIdjFLTUFX3XZVoahL5Rh2IursfPWcoPirttLMeyl1Rj6Qhl23lqOIc+t8cKwNq/FoKcUhIOeqFQI1qFXQY948CX0Bj+k4Bv8y2oVhPWgB+DOVTXYucZbD61kENYItlDLIVtsd2SRXi7TkNXNA7H4/Kil7BgKxFqmArGiCr0QLBN4pfEbM5e1hm/MXLXsMbsWe8zylgTfng94AVgcvr2m1XjLaSr8qs8khV0OXxOExfBLmCW8UnO4EowJwGaucww14XfgKL2ukTtoOEOvDr4aNKLShGENTq/EISlrfUOvkiowefAatWRNAVhDB61R+4dUmHUD44HlmNK/DFN7l5r2CcIiCOtQLAPgyGUqqMrFJg+honEOyY75Hqg65HnbbnfIswOzqCmQKnCeL4Lda+DX5YZf0RwX8W5Alnv9dD0ugN1mYUdm3QUVC4cyzYFGoVgclm7gkj/k3iycitofgB2kWeh1secHwc0GSvFr4IFgLoD9tBWKxUKsrOei4WlBl4Vo3aytsCxqCutysesGj9HLCfd+/YSN+Xuu5n8D7AUDHTP0R60Sh+0AAMe8dT9mvp/b4h7z1v2t8R6lpKSkbqkEwAJgAbAAWAAsABYAC4AFwG0QwHfvnYbj62a2uO/eO6013qOUlJTULZUAWAAsABYAC4AFwAJgAbAAWAAsAJaSkvpalABYACwAFgALgAXAAmABsAC4DQJ41N7p5ntxS3rU3umt8R6lpKSkbqnaAQBeO6cw28RCqzhOL1xrb2Dc4CC58fqdBsEcvJ8xLFOI1u+bAvHzpgCfc9DnnWwMwGNXAw1yaZuWx692NON8LkGYArH2N4Sb3nox3oCWwEvhVwTizRcSrCb4uuNPXeiHj59PNKFYG88lGQxzAPNQKg7NohNjzJL2E4Qp3Irw7IZm0ToPs6JtOg99DgG4+ORon3PxEKzCE+Ow4Hgmzv9kgkEwIZfgS/jlnXcs2wRkTT86BXOOql+zQL8v0MVvxrtzrDCslHfmmzCslHfm4+B9BQbCA/ctwoQ9Sw1mY18vNqilcQq94iFYCXuW+m06R/TOFdj91ZUWfAm9hNsu28rswKut5Rj24mrVen/oC2UY9pLa5sFYQZvXqlAsgrAGsEHvL6sxZEONga8Ze1CDt0YhOORBNSdkgxqjUKywNR6CeegVgZUwzOHL8dttsUIsLaMKPRBHFnnHEI4JvwbPS7zjui3ywrCiF9jY5UsO4Ng5fhCcW2thl8Abf78Kvoqf6o0lTGSdXW3Cr/rdo5rWCcKJYxhwed/thWNxANMxA0ZX4aCR63FweiUOHrYOk9LWGdQa9I5cb5A7ON0OvaL5g4exIKzktQq/g1nIFcFWw5fCrvh+6ziN4JTEckzp54VjpSZoBBOEHQAPiyrywrBo6QZJERqDF3gYpqZxCriiQCmOLwpeIgQTEmiMtgPnqXMRYOlzeZCVC2G+5GFX/sDM74NfrwtgAgyHDQ+UYksrgIph1UIhhWOx8Cd3jIdJWaFLHLounF0EswAmvyFYbvAVHe8GfBH2nIAns03HEVpZ2JVPUJY7Ty/9otm9X394JtTq50YhWdQmZIsFY6Xdke17LP9cN/CLQ995PtafAefFgfVn3XmBkvI/WyUO2wEA3vXmDBz93uwW911vzmiN9yglJSV1SyUAFgALgAXAAmABsABYACwAFgDfKoB/BgDPAcA/A8C/AkAdAAxi+5MA4BgA/DsAXAaAmc7x/wgAGwHgXwDg9wCwEwA6/tWehJSUlJRTAmABsABYACwAFgALgAXAAuA2CODhe3LM9+CW9PA9OTe7x+0AcBAAfgwA/wAACwHgDwDwQwAIAoAvQKH3W6Bg/H8A4G52/EYAOA4Kvf8EAE8DwMe34ZlISUlJAYAAWAAsABYAC4AFwAJgAbAAuE0CeNgbD5gMjpb0sDceuNk9HgeAuWz7ewDwZwDoDQArQf30l1ctALyl1+8A9ZPhkWz/TwDgTwCQ2NKHICUlJeWvDIA5UJuuK/ASfHk4FgViEYxpm7DLw674NoGY5nIg03z6zMvX7jTBVxR2VXclxMCXxikUi/pQQygeagjF/Q3huLc+AnfVdzPLnZejzfbOy9G4pz7SBGZtv9TDQPix8wMsAD9+PtGgl5bUHMMUikUI5sFXFDS1+Ph4zP84C+d/MsGgs+B4pgVjQjPf5s0RzMOvKACr8MQ4C9s0hx9Hn0HXQBAuOJ5poTfvWDbmHJ1sQq9yjk62EJz/cRbmHJ1swrB4IFZzQVgjDs7F9IP5mHZgHqYdmIfpB/Mx+e0FmHZgnhWKRcFWFIZFTeFW1LGvF2PPXcux567lGLe7CON3q4AsCsqi8djXi7H7qysxeucKjHlNrUft8BDsgpaWoS+UYchzazBki9edn19jzaH9wc9UYPAzFRj09DoMenQ9Bm2qwqBfeRAm2Jr+hQYwBV9V1XihWL9Q8ztXawhX1ppArPDVCsEE3q4rWWiV2xqx3RbrXqQBu5B1gTceVeih110Sfs3xGsDR8zWC53jdY5YXdtUzV/dM1S6C42ZoCGsM956iEEwQpuArgi/Hb//xqvtl6m0dbtV/fDPruhPHKvgOzNBBViwoy4RcOaFWSWnrvBCsEb4AHpKy1sLwkOS1KtCKQq80ZnlTsFVK/zILwma/RrJ1HnY8hWKlxa/yIBy30gvGiirygrCoebAUx2XQfBuYLiY5Kn8+ywYVByXHGR8jfHKMBsz1wqqag7AbjOWGaFEAFr9m2uYhXBTMFTDXDjLyB2IWjmUwxAKcmg2Cane/b0gTwfg7k3whSRAkiLkgbg7GBFoW0uUTgsUDoWjphm25IVDsa2cCtJx7tkDrb+mvHRjzFwJWsBY7F6E29dv3Ytod2R6ECcUUjMVRzF883JGtXj74e2buM3Kek/n6u4FXPESM/dlO+WmrTEj+WwL4XgB4GwDuBIBvA0AhAJwHhduXAeARP/M/1+uxAPBfAPBzZ855AMj7KzwHKSkpKZ8SAAuABcACYAGwAFgALAAWALdBAKfuzsURB+e2uFN3597sHjsBwG5QP/X9E6h/C9xP79sHAGud+el6HgDAAFAAvsOZcxgAilr6EKSkpKT8lQBYACwAFgALgAXAAmABsAC4DQI4ZXeu+fWD/93uVXU3Bt3TA4Pu6YGdRkc3d4//ACrY6nEA+AEAfAMAMkD9O99Y+PKfAMeA/ARYSkrqb1wCYAGwAFgALAAWAAuABcACYAFws53S/E+AfwzqJ7+xzvgxAFgMt/ZvgH8KAP8P5N8AS0lJ3aZqBwB49VwHA+A/3gjGL250wi9udDLhVZ83BeBn19ubZeN1O8TqwrX2eOFaexOcxSFLQKaALd6/beqAnzcFmM/4bVMHc+7G63eac55sDMDTjR3wyNUgC7wUgOWGYBFsCb576yPwQEMYHmoIxQMNYXigIcwgeeflaANg6k3nBpneeC4JN50bZEKw+Nimc4OsQCwa33B2KNaeSTWhUxRIRfAlBHMQE2L5HDeMav4nE7D45GgrSIugzZFNqKXmYVg0n8DLz0+fkXcs2+pZxyZiztHJpnM/moTTj04xKCb8Tv5wGk7+cBpmfZCDWR/kYOb7uZj5fi5mfZCDY+tmYca7cwyA0w/m44iDc81Y2oF5FoQH7luEfd8sNBgeuG8RJr61GHu/YQdi9dy1HGNeK8bY14sx5rVig9vur6601qN3rvBBcvdXV5owLAq5CnlOgdZA+HkN22crMGjzWgx+pgJDnluDwc9q7G5eawdgPbVOAfiJSuz02HoM2qgAHPRwtVkGP1RtljwEiyBswrBqa7BztR2E1aXCC8MKL2XhVywAK3K52u66UuN1iRdc1X2hAis1jRFoOW5pvNsiLzCLEN19oYdf6pi5XsfmKezGzVBtQVjjl+Abf7+Crwm/ul8FYPWeYgdg9b232nS/TA+//cdVmTAsjl0KujJj4200U/DVwIz1OHDUehNwNTi9UmGWQq2GeU1jvGmuOYbwm1ThF7G0zTslsdwOuUq0Ydzc8Sn9y+xQLAfDw6KX22FYFIRF0PSHSh44xTtwngdKgiQFYjF8+YRHcSgTsCgki5oHaXXI89DKQ7Pca+QopmAvCsIKmq+WHL68OcYD5qoxP+FGHD8cmxaeeFCVE5BF0DRjOqDJJ0jLX1AU3+ZAc8OcOOZ+kuOL5uau2c95LeDxEKhmAsHMdTcXjsVQ3Cx2/bxE8AnH+t5kG74sGCvlG5kGvBzFZp2/jODPubmvp36e1suc5v7c6uc19EdTWi2Ak3fNNC+cW9LJu2be7B5PA8CjAPB9UD8RHgkA/xcAhoD669FfAEAuqH8fPBAAfgd2CvTDoFKfA/U5ngZfNEtJSUn91epvAuDP/OD3rw1gAu3tBPDj5xNvO4AJwV91AGcfnnHbAUw/4b2dAA557m8A4Ko2AuD82w9gWgqAvxzAJgn6qw5g+mnw7QSwmw59OwBMP5m8nQCmdOPbCWCG3a80gJt7Nm0MwEmvzzK/caElnfT6rJvdYygAvAIA/wvUX30+BQDT2f5BoID77wBQDwrDvP4RAB4C9dei/wAArwFAwF/vUUhJSUnZJQAWAAuABcACYAGwAFgALAAWAN8qgKWkpKS+UiUAFgALgAXAAmABsABYACwAboMAHvTabEx+e0GLe9Brs1vjPUpJSUndUgmABcACYAGwAFgALAAWAAuA2yCAB+ycYwImW9IDds5pjfcoJSUldUvVDgDwt+eDLAD/52eh+B83QvD3TYEGwl/c6IS/bwrE3zcFGhgTWAnBDde8dGjCq7t++ZpvIBYFZVFYFq0TsunclABN+K27EoIHGsLw8JVg3N8QjgcawgxqCcCE4j31kQa9+xvCrX37G8JxT30k7qmPxJ2Xo3HrxXh86kI/KwH6obNDcOO5JJP2vOHsUANejl9KiN50bhA+dHYI1p5JxaozaSYhmoM1/+MszDuWbWBM8CV0zjo20Sd92YUuRzMlQRedGGNBmQDOoVxwPNMK3XLRSzDmqc+UCk1jBGOC7+QPp+H0o1Nw0uHpmH14BmYfnoFZH+SYNGhKgs54dw6Ofm82jn5vtgEwwZjeNiftX4iD9xXg4H0FOHDfIrOkVOi+bxaadOeoHSUY+Ypqgm/kKyUYtaPE7It4eRV2f3Ul9ty13GCZ9kftKDFJ0KEvlPmkQatk57U2dnk/tQ6DntT9RKVKgKblpir/vbFKAXiDwi6lPIeuq1UQrtZdVWPSn8PW1GJYuZcCHV6qll1XMgATfnVKdORyhtYCjVYGV57m3J3GHdgSlA2iC9Q5fZKg53kA7jHbxi5PfO75QK0Br4Gu03x/n/u8ttKfHdyafU7iswVkPZdwzNOgB9yt2iQ7E37TKw1sTSr0MAXe5CEVPph14Tt00BoPtw5sfbpfGab2Xe3Btl+ZnRBNQNbrqX1Xe/N0p/ZdrRDcYyUOiylWEI4pNhhOj1zmgdEFsJsQzROWKVU5cJ6d4kxLatrHkpQtZLiJw9Q8dZeWPNGZp0S7COb76Br9oZdD987ZHrT59XKI8xRgnXztgt8AlFDlYk/jmFKNraRi1i4ALSwSWnmiM0twtiDspi87MHZx7jcNmTXHsPlass+0rpNfq4t2uicX9/y+aa77QsFJ03aToK3WKKb99NLBeu5uUrefcCyTAM5Tsf2h+Ke5mPLj+1sjDgXAUlJSUs2UAFgALAAWAAuABcACYAGwALgNAjjx1TzzvbQlnfhqXmu8RykpKalbKgGwAFgALAAWAAuABcACYAFwGwRwv1fn4sB9i1rc/V6d2xrvUUpKSuqWSgAsABYAC4AFwAJgAbAAWAAsABYAS0lJfS3KAPg/boTgf9wIwT/eCMY/3gg20P28KcDAl5oCq2jJMesGY9E6D7Pi2OVN0KX5pxs74MnGADPewM57/GpHE4JFEN7fEG7wu+NyLG6/1MNAmLcLYd4E4K0X43HzhQR86kI/fOpCP9x8IQEfOz/AILj2TCpWnk7HytPpWHUmDR86O8Q0zaHtDWeHGjhXnk7HitPDseL0cJz/yQQsOJ7pE4rlhk4RhHM/mmSh1F8TXP2FYblgdsO2+DnoGgi9FH7FP4uuiSM464McnPzhNANgao5gF8IjD+Vh2oF5Jhwr/WA+ph2YZ/31KwrBSnxrMfbfu8RAuPcby6ywK47e8O2l2HV7KYZvL8WIl1dh1+2lBskRL6/CcL0v7MXVGPbSagu9oS+UYegLZSb8ygq6enqd3tahVxq7nR5bj0G/Xq/g+ysWeLWxSm1TP6KbQrF+We2FXa3XGNbBVwa/5Tr4arUvgGm760pvPHy1DsFarsOrFmkIL3Zwu0DB1QB2ng6zmmcHWkXP19v5bM5c1vPs88bOqcUes1T3nMk61wu/6jXNC7qi7nOf73qf+7wgrISJGsGZHoTdAKzEMV64VeKYKgu91Aa/o1UnjqkyAB40QiGXNwE4eUgFDklZa/DLsZs8WOGXQq1S+67G1N6lXsAVwbdfmU94FcE1NaEUUxNKbdTy46g1mFN7l5pOi19ljjdNoViEYQ7g8ELfgCnCLw+V4rgMXqDaReVf0M2GNrHQJUKFGfv5LC8UK3iBd63+groo+IquM2i+jeGAuXbQFQUZEXRdzLvBWCz4iOPHBET5wyQPtPIDXB+YfRmM/QViuUFOzvkNvt3ALQ5Wf01g9Re6xb+GLloZXi2wcxRzKLvPhgdq8RAtf3B1npUJx3KDsPi8O7K9c+k51vN2XtLwe7Ve3LAXO0N/cF9rxGE7AMCEHfnme2dLOmFHfmu8RykpKalbKgGwAFgALAAWAAuABcACYAFwGwRwn1fmYf+9S1rcfV6Z1xrvUUpKSuqWSgAsABYAC4AFwAJgAbAAWAAsABYAS0lJ/dUrBgB2A8ANAPgzACT7mXMAAP4fAPwBAP5NL2c6c8YDwFkA+HcAOA0AY5z9PwSALQDwOwD4VwB4BgB+0Mw1CYAFwAJgAbAAWAAsABYAC4DbIIDjX56Pfd8sbHHHvzy/Nd6jlJTUV6AiAGA6APQCgP8C/wB+BwBKb3KOBAD4vwAwGgC+BQBjAeCPABDH5uwCgL0A8CMA+DEAvAUAO5o5XzsAwH8+3wn/87NQ0y6EP28KwM+bAkz4FW0TiGnuFzc6GRB/psOsCK2XdUAWNQH3XGN70ycbA8w64ZeWDdc8NF++dqeZf7IxAI9f7YhHrgbhgYYwPNAQhrvqu+H2Sz3w8fOJuP1SD4PinZejDXKpd9V3wz31kSYoa1d9N4NmgvSOy7EmGIsHYtGSAq4qT6dj7ZlUA14KwaIgLIIvQbj01CjTFFQ1/5MJFjjddR6MlXN0Mk4/OsUKoaIgKsJp7keTLAQXnRhjhV4Ral1wE6QJwNOPTjHL6Uen4KxjE3Hqkak49chUMzb1yFTM+iAHsz7IMQFYWR/k4Ni6WTi+bqYVfDX6vdk4tm6WaQLxyEN5BsQEXwrEIgT337vE4Dd+9zITakXL6J0rsPurK00QFoVgRby8yqyHvbQaw15k6H1+DYY8twaDn63A4GcrMOS5NQbDnZ9fg8HPVHhhWE9r/D7NQq8eZfDVsA16uNqEXQX/0rdpf9DD1RjyYA2G1NZg5xqnq2qwy1o7/KrrSo3cUhaEtaoWu5Z4+wjDEStqMXKZ6qilOryqQAdY6aWB7zwbwbFzdOd5EI6do9fnKND2mG0Dl6O3x2y2X4dgGQTnaAjrsKveU7ygq4TsakzIrsY+kxh67/VCrvplet03S8GX0DtgtIIsQXfAaI3eMR52ab/Z1mO0HDhKhWINGql64CiF4qTUdTZ+h2j8DmQBVSzkiuM0tTdDqQ6uSu272kIvgZXmmICr/s10Yrl3DCG4V4la1+cl/KbFrcRhsSvUeq8SFYwVvVxBl9oNwSJYckwSKGlJuOTIJBjzQCnCoxMeZfDohjnRfgrHonO4sA6Yqz6bQMyv8WZ9M7y7YV50X/6CsTiE6Vp/NtMGKQuFskKgnLaQqnFmgOailYVr3RSNDnx9gqA0sM356fm756JtN4zLDeBiQVG0bvbxwCt/eOb3xJFP99IcfjloeViW7uYCs+hYs83PQ8+DX9+PZlhfc35fQ384uTXisB0AYK/tCzBhz9IWd6/tC1rjPUpJSX3FqrmfAL8DAKtvctwTALDdGXsZAB7T60H63N3Z/hg91tHP+QTAAmABsABYACwAFgALgAXAAmABsJSU1G2tmwH4XwDgfwPAGQBYCwDfY/s/BoBC55hlAPCRXr8b1E+I3foPABjpZ1wALAAWAAuABcACYAGwAFgA3AYBHPfSQuz9xrIWd9xLC1vjPUpJSf0d60lQoP0vvXT7bT/HNAfgvqD+DS8AQDQo8G5l+y8BQK5zzEwAuKDXJwHAZ37O+88AkO1nXAAsABYAC4AFwAJgAbAAWADcBgHc86WFGL97WYu7pwBYSkrKqe+C+re2zfX3/RzTHIDdGgwAfwKAO/T2l/0EOAPUvwl266Y/Ab52LsAAlvDrhmLx9T/eCDYY5mN8/HdNHQ2QCa6N1+/0AfDpxg547GogHr4SjHVXQrDuSggevhKMhxpCse5KCB65GoTHr3Y0ECYU0zlo7GRjAB65GoSHrwTjgYYw3Hk5Grdc7GN668V43HYpzoRjEYQp/GpPfaQVnEW97VIcbr0Yj1su9sHtl3rgtktxJhyLEEzAJeSWf3qXaQJu+ad3YfHJ0QbABGY6juYWnxxtAqsKjmfi/E8mmNApDlF/4VO8CaZTj0z1AS2FXBGAcz+aZCF28ofTfEKuOI5pH33GpMPTcdLh6T7hV5nv52Lm+7kGvxy71DTGcZzx7hwrCCvtwDxMeWc+Jr612ARyEILjdhdh3O4i7LlruQEwddSOEhOORaFY4dtLMfSFMoNeA9xnFXBpScFXwc9WYMiWNT7LoKfXYdCT61Tw1aYqD8A63Cr4l9UY8guvCb3uesgvqjGktsYvkAnFoZW1GLpOhWFRCJYJw1qpOmIFQ3CJ2o4orsXIIgXfqEKFX1p2W+RAuMDbpmCs2DkKsITeHrMVbmm8Z64H27gZDLXTFWp75nogtjCcq7q5EKw+9ynwJmRXKwBnM/je40BYL/uPU8FWHLWJY31ha3Csw7EGZijsDrh7vVkfmKHRO7xSLUcqAA9Or8SktHWYlOaFYSUnVSgAE377lRnAEjQNeAmkvUpUxymMpsWv8sKq4leZ8CwOWYNhHqDVr8wLv2JBWHTOtB4KvcNiV+CwmGKDXzPOA7EiltoQDi/01kMKFBoJgATg4AU2hjmE3XUeOEXI5LDkqHBClqzgoZ/NtDFN63w7aL73uXQdHL7UbtgVPw/HLscvrXfM970mCsuigCSOfDcYq5nQKX9wtXDGcGcFXfHjmtnH91vnorHv3ucb5OUGb3H8agBb90rPw31B4Lws8HlBwD+Xf6bzbAxsm0M9gz1/Vga5bJ8PinWAlg+qvzfZrPvgXPfQH01pjTgUAEtJSbW6+ksBPAgUgL+jt58AgJecOdvB+zfAnUD9JNr9N8D/BTf5N8AzpnwP5z7QDvMe+D6+9tzPBcACYAGwAFgALAAWAAuABcDNALjX94Zh0B3dMOiObhh4R1RrxGE7AMDYlwrM98mWdOxLBa3xHqWkpL4idQcozP4ZAIbp7W/qfT/TY9/V290A4CgAvMiOTwD1E967QaVAjwH165B4CvRrALAHAH4CAD8FgDcB4JVmrkd+AiwAFgALgAXAAmABsABYANwGfwIc8+Ii7LlreYs75nAPq18AACAASURBVMVFrfEepaSkvgJFCc3/5fRKvb8TAHwIAP8H1O//vQC+IVgAAONA/R7gP4IKyhrt7P8hADyrz/M7ANgMzf8flgBYACwAFgALgAXAAmABsABYACwAlpKS+lqUAFgALAAWAAuABcACYAGwALgNArj7tsUY+3pxi7v7tsWt8R6lpKSkbqlMCvTvmwItuLrLL250wi9udLIw/B83QqxjvrjRye/xlBr926YOJsGZA5jwSgA+1BCKBxrCcH9DOO5vCMdDDaEWdOk4wjElQPNj99ZHmPTnrRfjDXQp/Zkjl8N3+6UeBstbL8Yb/NL2tktx+Pj5RKt50jNPga48nW5gW3Iqw0pjLjmVgeWf3mWSofm8klMZWHRiDBaeGIfzP5mAi4+PN80BTPjkicuE38kfTjNLmkPbBF3azj48w0qQdpsnUdM2Hc/X6bPoOsbXzcSsD3IMgjmARxyca5KfqXkqdMa7czDlnfmY8s58A+CB+xZh/71LsO+bheZ3E/Z+Y5kPgGNfL8aeu5abNOioHSr5uasGcNhLXvpzyBbVBrwawUGbddKzHrf2afwGPbkOO/2mUvVj67HTbypVCvSvvOTnoIerrRRoAm/nmhoFXJb+HPKgDeGQDWpfyINqf+i6WgytrMWwNarDV6vE54hirwnEkUW6lyn0GgAvtVOh+b5uizSA59sdM8/DL++eD9hpzr2m1WD8VI3aKd52r2k1CsiEZNa9p3jHxE9VCKZU6N6Ta1QStE6F7pdZrdKg71XwJfRSAjTBlnDrJj0TdGmdkp554rPpEZXeckQlDhpeadY5hIekrMXkwWtUGvSgNRaCDXQ5SuNWKojSmN4eFlOsmpKaCbU8Gdpp63wM0gbCPfS5o5ebcw+LKcZhUUU4rHsRDosqwvTIZWqbPl+PGRBTunLoIjsNmhDpLw3aBTLHs780Z54UHTDXgqiFLoZhnjBsUpgJoARYSojmqc/NfTbfz9tNsHb3+bsHDmE/idf8Hlzs+4DPTXHm0LsJ+Nzj/CZOO/jlc63jOFZ/NMNLR3bH+csK/gw4ht3n4qZDcww7z4dfm997aSYF2t8zGfb9qR5y2TL1WxNM+nZz5zEQZ1+Dof+U3Rpx2A4AsNsLi60Xw7fa3V4QAEtJSbWdEgALgAXAAmABsABYACwAFgALgAXAUlJSX4sSAAuABcACYAGwAFgALAAWALdBAEdtXYLRO1e0uKO2LmmN9yglJSV1SyUAFgALgAXAAmABsABYACwAboMAjny+0GRhtKQjny9sjfcoJSUldUvVDgCw4Vx7C6qfNwVYYVbutothWv/Pz0KtYz5vCsDPrrfH3zZ1MABuut7eBGJduNYeL19Ty2NXA/0i+FBDqAnEomXdlRA8frWj6SNXg3B/Q7iBL0F3b30E7m8Ixz31kRaoaS6heFd9N9xxOdbAmBBMvflCAm652Ac3X0jAzRcSDHw3X0jAjeeScNO5QfjY+QH42PkB+Pj5RCsYi3DLoUvILTmVYYKvKDSLA5jDt+B4Ji4+Ph7zP84yTfgkdBJkOUgnfzjNhFFlfZBjMMxRmvHuHAuoY+tmWaFYvDmMaYzOSQCmz+OopYCr0e/NNvClz6ZxmpN+MN/Cb9qBeZi0fyEO3LcIB+5bZMKw4ncvs1Iq3UAs+sZN+I18pcRD8IsawQzCwc+yEKyn12LQU+tUE3ifqMSgJxR4g56oNMFXnR7TAVibFH6DHnYCrx5ywq1qaxSECb9VGsC1HoZD16vuslahl7ZpzA3E6rpKYTi8lAF4mUbvEg+4BN6oQjXevUDvc+aZgCwKxMpT4Vc9Z7IgKw1ggi7Btc99HoLjp9rAJRBTAFbCRD1/MsOvhi91Qna1Wk6sMQDum6WaoJs4psqEXVFboVYMv3wfR68ZY+gdnK7xO9zbTkpbh0mpqpOHVHidVOFBmMKwOITjVnqtA7L84reHh2SCLscw4dkKtyJUU7AW7Y9dgWlxKz38Ri83AVgcwhzE6RFLMT280IyboCwKxCIEB87zwqwIkBSSFVJgg5kHUFH4VMf8L0XlsJ/kNI8if2MMxi6gDJJd8DYHcwJ9hzz7Ommd7oOHabnPQoNv2E9ybBDyczmhWVYYVDMQbhaAzYRb+Tv+y5BsQbjd/d71+Anw8od6c99uSBYPNSMo82AsCpqiFx90Tvp8upbmXhS4z8F5MeD3xQI7lsKxDI5dWPMXEXdkY+q378XkOzJbIw4FwFJSUlLNlABYACwAFgALgAXAAmABsAC4DQK463NLMWpHSYu763NLW+M9SklJSd1SCYAFwAJgAbAAWAAsABYAC4DbIIDDtyzFyFdKWtzhWwTAUlJSbacEwAJgAbAAWAAsABYAC4AFwAJgAbCUlNTXokwIFgGVNwcx7983BeLvmwLxjzeC8Y83gq11wjDN4Qimbrx+JzZcuxMbr9+JTdfbY4MOxrpwTYVjnWwMsHB75GqQgTABtu5KCB5oCLPQu7c+woRf7bwcjdsv9cDtl3oY8BKoCdN8fH9DOO6q72aO4ejdcrEPbrnYB5+60A8fP5+Ij50fgJvODcKN55LwobNDcNO5QWabr7v7OIjLP70Li0+OxuKToy3o+sPv/E8mYN6xbCw8Mc5geP4nEwyE845l46xjE01TWBUHKQVSEX4JpYRRWhI4ae6kw9OtcCwXxHxO9uEZVvDV2LpZBtaj35ttzp1+MN9CLw++omtJeWc+Jr+9wOA38a3F2H/vEkx8azEmvrUYB+5bhL3fWIbxu70QrN5vLLNCsQjAUTsUfCNeXmXWw15cjaEvlBkEh2xZgyHPqfYQ7IVdWQB+jGF3owq8ovWgh6sx6BE99rBuPYcgbAKwar0m3HauqlHg1d1lreqw8loMK2PoLVUI7lKh95V7c7qW2GFYEcUeck1r5HZbpFuPdy/wgq9MENaCWoyZq4KwYueo9dg5Hoh7TXfgO1mtE2z73FdjABt/v4fgPpNqrFCrvlnVZn7vyRrHk7ylwS+bTwg2oVcubinMitY1ZH2CsEY5xzD0DhpRiYOHrbPCrygAa0jyWhySslZhmPDbvwxT+nltAq96lSjwMpSakCoKquJhVRq3HLImTIsCrhw0m3NyXNOxtE0Ijin2wBuxVAE3vNBsD4vSKKZArC6LVRgWRzBvwh8hl4dP8bAsjmEOThfTHJs84IqD0Q1iIhgTkJoJazLhS/oYc26CLF2Pi18XzPza+H66h4C5HrrdUCh+T/w+3ZAoPyg198aQzFGY9p1JmPrtez3IcQh/9z417if8yj3Pl6KYnjk9R4ItBX7x++AhXywMzD3G7CNU8+Pcr59+BhZs3UAsP+FgPkFf/P7cY9izpOdJYVmE5dYM4LBnl2LEy6ta3GHPCoClpKTaTgmABcACYAGwAFgALAAWAAuA2yCAuzyzDLtuL21xd3lmWWu8RykpKalbKgGwAFgALAAWAAuABcACYAGwAFgALCUl9bUoAbAAWAAsABYAC4AFwAJgAXAbBHDoM8swXGdftKRDBcBSUlJtqEwIFmHVDaviIVYcv79r6miWHMe/bepw0wCtxut34uVrCsAN19Q6D8Q63djBrJ9rbG/68JVgA9fDV4INYAm8FFxFaCUE77wcjXvqIw2OCct76iNxT32kwTSFbtEx/FwEX4LsxnNJ+Nj5AQa5LnypHzo7BDecHYq1Z1Kt7Q1nh2L5p3dh6alRPl10YgwWnRiD+R9nYe5HkwxoZx2baLDLlwXHMw2M538ywTTheNaxiQakhFICKQE4/WC+gWbS/oWYdmCeBdTxdTPNsVkf5FiBW7wpDIsgzFHropv2EYA5hkceysORh/IMlpP2L8TB+wpM+FX/vUtw4L5F2H/vEuz7ZiEm7Flq8MtRHPOaCsKKea0Yo3aUGAxHvLwKu2wrw9AXvO78/BovEOu5NRj8jEYww2+n31T6hF0FbfTgawVf/ZIFYBGGf1VlBWKFbKhRrQHcuUYDeJ2HXh50RSFX4aXeWNgaD8Jd1qptOq7rKt0awlFLWcCV7ugFqmk7Zp7XHMDRC9j2fA/BPWfWYvz9Othquu5pCrEJE53WYVYE4r73VmO/zGrsP16Btt89CrcJ2dUWdnmbfVkMwONZGNZYhWEehMVROzhdB1sRjPXSBTAPv6JjklJt9JplyloVgjV4DQ4dWG4BmIKwKMzKDcSywqkIwBzEGr9WcyTreRzAZh8FXPk7r95vAThsiQfcLovVNnXoIg/BtI/mhi5SgVcEWx58RWOB8/wHYvlrvt/FpdsMxRSU5IM5DkcOPIZgg1ZCr3NuH6wSav1djzv2s5nNXzsPxWK4txDshk65ICQIE0h/OB3TvjdZge1bE7x2ttPuyFbQYwFQ1vNhwDbgdUHMUcrw6r5g4Eim+RaAGXitlwT0HPj1+HsOzssAHwg3E3plhWrxe2dj/kLG6FmmfCMTU76RiUO+Nb414rAdAGDnzUUY9tLqFnfnzUWt8R6lpKSkbqkEwAJgAbAAWAAsABYAC4AFwALgWwHwpwDwB9b/DgB/BoC79f4/A8Af9b5/08tuzjlKAaBJ7z/gZ7+UlJTUX7UEwAJgAbAAWAAsABYAC4AFwG0RwE8XYdiLq1vcnZ/+i38CPBcAfgsA39bbfwaAITeZvxgArgJAFADcAQAVAHAdAL7bgnuXkpKSumkJgAXAAmABsABYACwAFgALgNsigJ9ajl22lbW4Oz+1/C+9x9OgEEv1ZwBIvsn8egDIY9vfBAXoif/9W5aSkpL6y8oAmIOWtxuM9dn19ibYioBLwVaE5iaNZo7oz5sCzDqNU+gVLd31040dzJKCsY5dDcSTjQEmGIvCq3ZejsYdl2Nx26U43HYpDrdc7INbL8bjjsuxVkDWnvpI3FXfDXdcjrWATGOEatrefqmHgTAhmNDLcUtNwK09k4q1Z1Jxw9mhZvyhs0PMOD++4vRwLD01CktOZWDpqVFY/uldWHRijIHsrGMTcfrRKZhzdLIVdkXhVy5+538yAQtPjMP5n0wwx/Lwq7F1s3DEwbkGv8lvLzD4JQCPODgX0w7MM3NGHJxrOuPdOTi2bhZmvp9r4ZpwTKAdXzfTJ+SKY5eHXlHT59JnEoAH7ltkArAoDKvvm4UGvITfhD1LDYh77lqOPXctx5jXijF65wrs/upKjHylBMN1CFbYi/qvd+lALBOK9TwLwnpqnddPrlMI/vV6DHqkyifcKuQX1SrciveGGgz+pQ7C+qUzb0ONWv9FNYZW1mLnKi8Ey2B2jQ3hrqt0yNUqB8SlbGy13V1X1WLECg3hZbUYtUR1t0W12H2hagq+4vjlCI6Zp9Drr3vMVhDuObMWez5Qi72meeFXBN+E7Gov1Crbg2y/TC/Eqv94td3vHg+1Vo+3sWzNdeYnjq3ygq5GeUFXg0ZUWsA1IB7O0Dui0mdeUto6D8A69MoCcJICcEqiAnBqQqlZGvjGr8LU3qWY2luP6XEf3BJUuxfZy9gVap1gy/d3L/LFcewK71wOitMjlnrrkctUd1lsB17x4CsefsVhTCD2N59QTPh1gewPvG4HzPWCpdwwLD/YdMObDHYo2MgPgNK+N9kXlTzQyV/TZwfMtZuHernI9Rey5YZqOSFYJgiKA9Jtf8FQdP8cgTr8iuBGKE77ziSF4ZuFRBEI6fkQGJ0XCRbIXSDzef5wTCh2w7GcoCwL2Pzr7QKY4MoB6yf0yro/DmH2QsHnudKfJ91DvjlWAKwqGQD+EwCC2NifAeAGAPwLAHwEADOca/wzACQ453kTAKpbdvtSUlJSzZcA+L8B4Kcu9GsTAB793uw2AWD+E9/bBuAnbz+ACb23E8CUDH1bAfyAALhVAZjOczsBHLro9gPYBeJXFcA8WfqrDGB/wBUAt1oAhzy53PrbTrfaIU/+RQB+EQBec8aGgPqrzd8CgOEA8K8AkKv3dQQF4K7OMVsB4NGW3b6UlJRU8yUAFgALgAXAAmABsABYACwAboMADn6i2Py6v/9u37lsCv5gRH/8wYj+2C4t4cvusT0A/AkA0r/kukoA4D12jfITYCkpqb95CYAFwAJgAbAAWAAsABYAC4AFwM128BPFX3aPqwDg8l9wXSsBoI5t+/s3wP8L5N8AS0lJ3cYSAAuABcACYAGwAFgALAAWALdFAD++QoU8trCDH19xs3v8Jqjk5kXOeE8AiAOVCP1NAEgDgP8NAHPYnEUAcAXUrz76HwCwBgCugaRAS0lJ3cZqBwB48szPLMA2Xr/TbBN8KQH6ixudDIw/06BtDrifXW+PDdf8n7dJ76O+cK29SYU+3djB4PdkY4AF4JONAXiyMQCPXQ3E41c7mgRnDleO1s0XEnDLxT645WIfkxS9/VIP3HE51uCYAL3zcrTBMiVFE4I3X0jArRfjTRjWY+cH4KZzgwxyaUlJ0FVn0gyGN5wdilVn0gx2K04Px6ozaVh5Oh1rz6Ri1Zk0M7/ydLpJgeZJznnHsnHqkak49chUnHR4OuYcnYw5Rydj7keTMO9YtoXgguOZWHA800qQzv1oEuYcnWwwTBBNP5iPKe/Mx+S3F+DgfQUGwCnvzDedtH+hWaYdmGdgTEBNP5iPIw/lGQTz1GiO3Ix35+D4upkGzRzHPBWaPiNp/0JMfnsBDty3yKQ9J+xZahCcsGcpxu0uwp67lmPc7iKM373MGuu5azlG71yBMa8VY89dyzH2dZUKbf1+Qw3hLtvKvLfd+ht+yJY1Nn4fV0nQnR7TSdCUBr3RS3duDsCU+ty5Sic+V6nU55BaNrfWS4LuUuHBN6zMTyL0ag/CvAnCJv15uUqAjlzubBd5CKbuvrAWuy/QvdBLe46ZV4uxebUYk8+QPFeNxeZp/OZqAOv13lMUgHtPqcH4+9WSxjh+LcA6ac6JYxRiE8d4oHWXhGYOYDpuYMZ6A2CT8kywHbZOoVY3bQ8abu8j7PK5NJY8pEJ1EuvBaxR8+67G1L6rDYgpEdrAN36VSoKmVGiGZCu1maCrsZseucxDa8RSeztymZmTHrnMA7JOieahWOmRyzA9vFA1pUBHLLXTnwm2hFwCMC2DF/gmRvP5HMeEYDqGEOymRXfMVxikscB5XkIzhyJPVmYp0Ol3zrZR5S8RmKX5UjcLIZ4eTYnRHGiEYA5fF8F8nbZ58jPHMN/P060Zhn1SqTUMLSRrrFkpyPzenRcDqd++139iMjvWekY6adod84dQKz2aB2nx5GhCv5MUTetWOjbdK39BwIHNvuY+X0Pn5Yh1Tf5A7UKbAZm/KEj+x3taLYCDfrMCQ55b0+IO+s1NATwW1O/6/bEzPhIAzoD6/b7/CgCfAECOn+NXAcBnAPAFyO8BlpKS+huUAFgALAAWAAuABcACYAGwAFgAfKsAlpKSkvpKlQBYACwAFgALgAXAAmABsAC4LQL4sRUYsmVNizvoMQGwlJRU2ykBsABYACwAFgALgAXAAmABcBsEcKdHV6pMixZ2p0dXtsZ7lJKSkrqlagcAePzMz/CyxicPorqs8epimLpJw5cHXnHoNly704C48fqd5jMuXGtvrdNn8u3L19Q5LlzzEEzoJQAfuRqEdVdC8PCVYDzQEIYHGsLwUEMo7qmPxO2XevhtjtjHzycaHBNwKRxrx+VY3HoxHp+60A8fP59o9lO41paLffCx8wPwobNDcNO5QRZ0K0+nm2ArF74cvNSVp9Ox6kyamVP+6V0mFKvkVAYWnRiDhSfGYf7HWSb4avrRKTj1yFSDWjckK+foZJx6ZKoBMh0369hEnPzhNMw+PMMKxsp4dw6mH8zHtAPzcPC+Ahy4bxEm7V9oUJy0f6HBbso78y0kJ7+9AFPemW+Qy5cjD+WZwCuCLoVj8X0Z784xwVwc1gTgxLcWm3Crvm8WYt83C00AFuGXh2FR+FX3V1di91dXGhD33LUco3aUYMTLqzB8e6kKxNIYDn2hDLts88Kwgp+twKCn12LQ0ywI6ykdhPXoeg/AhGAecFXLcKvDrkIerLECr0LX63UN4c7VNV4Q1rpaDF1nB2GFlXmhVibsigKwSmoxYoVCbkSxtyTsRhap/aaLVSAWdVRhLXZb7HX3AoXi6AUawfnekuAbO0eBt8csFYTlhmHFzVCBWL2maQRPVm3CsHRAVt8sO/iq3z3VFnJNkNWIShyYsR4HjFbjA+5er5q2ebNxgvCgkR6ABw1nIVjD1lnbBrs69MogOd2bT/uSh1TgkGS1TB68BocOUgA23U9jOMELv6IgLAvEPTSGCcU9VtoIZnC1AEytt2nfsKgiTA8vVMdGsbCsqCL7eA5gQq4LWArAcvHKkUrbNIeCsDiieQcv8I9gfj4enEWBWIRNjkUejsVw5BO4xJBmBWMR8hwU8/1uyNLNgrgs+PJrIwjzYCy+zuey/QZ6bjiUn21z3/pafYKtXOAyKKbdka3avX8/wWF0LvNM/QVLOfA06zwUi4Dr3AuNmftxQ8noeVAoFn/pwQBtwZeHnNE1c/j6C8Hi4846f37J/2NCa8ShAFhKSkqqmRIAC4AFwAJgAbAAWAAsABYAt1UAP1PR4hYAS0lJtaUSAAuABcACYAGwAFgALAAWALdBAAf+ugSDNq9tcQf+uqQ13qOUlJTULZUAWAAsABYAC4AFwAJgAbAAWAAsAJaSkvpalAEwIZcHUrlQJdjS3M+bAvDzpgD8XVNHs/7bpg4GvxRqRdt0Hgq5onUKtjp+tSMeuxpoArAIwxSGReg9cjUID18JxkMNoVh3JcQHwfsbws1yT32kCbmiQKvtl3rgtktxBrVbL8YbEG+7FGfmUIgWQZmCrx47P8A04Zjm8WCsytPpBrfUhFwehlX+6V1mbumpUVj+6V1YcXo4lpzKwMIT47DwxDgTjMUxS7gl2PoLu6KwLN6TP5yGkz+chpMOT/dBcMa7c0zglb9OfnuBzzqFVnEQD95XgIP3FZgx2k+BWYRdajcsizCetH8hJr61GBPfWmzg23PXcozfvQxjX/fCrWJfLzb4pRCs2NeLMea1YrO/+6srMXrnCox8pQS7avx23V5qY5iFYgU/q/7ql/mPAILwEyoMK+iRKi8Ma5NCcMgvqr3Qq19Ue/jdoCAcul7jdr2H3C5r1TK00lt2qfA6rNxGcFiZ2jaBWKX2OuGXoBu1VEOXMKzBG7VULSOXeeFYUUtZF3oIjl7ghWLF5nno7TnT67gZXhN8e02r8RnvPZmFYWWpEKu+WQrAiWOrzJIHYRFqrUCrkes93A5nsB3BeqTG80h2rN4m0FooHsFgzLBL4PUJwBpSocY5ggeq4KuhA8sxpZ+CcGqCB16CsAnA4vAlDFNoFeu0OI3iqCK/+KXwKzfciuBr9oUt8fbxccIqtQvejvk2TinUqmO+f8TSfPe8FJhFTcD2dw4OYDofhyYPmNJYNAByYcahw0BL4U+p374XU781QfW377UxyAO0WPiROa8O4LKCrThoOZTpmnnwlcY7h+Cwn+TYx/lDsgNp696dUCoX8e7z8Qm/+s4k8yyozTPxE651s0As89LBDaOiefoZWgFYDpItrPIALR4A5oZo8efghlnx89Ex9GeCf215aBcPVuMAviOzNeJQAXhTiX6R27IO3CQAlpKSajslABYAC4AFwAJgAbAAWAAsAG6TAF6lvne1sAM3rWqN9yglJSV1SyUAFgALgAXAAmABsABYACwAFgALgKWkpL4WJQAWAAuABcACYAGwAFgALABuiwB+ZJWVYXGrHfiIAFhKSqrtVDsAwI9O/9yAl8BJQCW4Emg5Zmmbwq8+c4KyKPyKjqVzX7jW3i9+Cbc0RvCl6yIYn2tsb+Yeagi1ArBomy8PNYTi3voIHwxTE4Ip8IpgS+B9/HwiPnWhn9mmMRqnIC1qgvCmc4Nw47kkE5L10NkhuOHsUKw4Pdxv8FX5p3dhyakMLD01CotPjjb4XXx8vAnCWnx8PC4+Ph4Ljmfi/E8mYP7HWRaG845lY+5HkzD3o0km7GrS4ek4+cNpOPXIVBN+ReNZH+SYUCreHKQjD+UZ5KYdmGchmKDLQ7MIqxReRcu+bxZi4luLzTH0GRSINeLgXINlAvPAfYtMUxAWhWFx/EbvXIHRO1dYYxSCxfd3f3UlRry8CsNeWo0RL6/CriwEi/BL3fn5NRi0ea0N4aftIKxOj6kO2lSFQY9UGfwaALtdW+MFYOkQLIIwwdfCrW4KwApfzUDM5nVdpeG7Qq+XqO2uKz0UE3INgJeo7ra4Frsv9IKvopbo/bq7F6j9HMExc1UIVuwcheGeuV7wVdwMez1uRi3G5dRi/P01pq1ArPtU9723GvveW21gTBAm+A4aud4C7YC71/uClwA7bJ0XZpW2ztoenK5gTMFXdI7B6fY2h/CQZAXfpDQdfpVUoVoHXw0dpOA7dGC5tZ6SqBHcz0NwSr8yG8E9VnoAjlupxuM0gGOKvSV1dy/oyoRacRBThy3xUExIDluiEEoQZhg2+2jJA6tCCvyHXrkhVhzLtM6Dtaj55/sLyQpdZKOXL3kQVoc8NcbCpZpFMAOQG87kD8AGfHdke+sahn4xx2FFwU7+QrLcMX9YJhC7yOXz/b0I+Gmufwi6zfHHwp0MaBlsrXVC8bcmeM+CmuOYh2a5qPSHbvZiwcK5P4DyoC/3Phwc+4RjuWP+moKuCPBucJafe2jVIVi/WoVBT65rcQf+SgAsJSXVdkoALAAWAAuABcACYAGwAFgALAAWAEtJSX0tSgAsABYAC4AFwAJgAbAAWADcFgG8sRSDnqhscQduLG2N9yglJSV1SyUAFgALgAXAAmABsABYACwAboMA7vhwKXZ6vLLF3fFhAbCUlFTbKQGwAFgALAAWAAuABcACYAGwAFgALCUl9bUoA2ACL2GUkpo5UgmilxmAKSm6gTWlSfNtnjDtnpeaXwOB99jVQLOPjqEUaEp/5snQlABN+K27EmK2eTL03voI3N8QjnvrI3BvfQTujKGzkgAAIABJREFUqu+GWy/GW4h97PwAfOjsEJPqXHUmzaxvPJdkcEtLSoQmGPN0aGqa7yZCl54aZZrwW3A8E/M/zsL5n0ww2xy/vGkfoTj/4yycemQqTj0y1UA48/1czPogBzPenYNj62b5YJcwOrZuFo6vm4mZ7+dacziQRx7KM0nNaQfm4cB9i7Dvm4XYf+8SC7/99y6xEpx7v7HMQHbwvgIDaQ7f9IP5ZpuDmuM3bneRgW7PXctN935jmUmIjnylBLu/uhKjdpRg9M4VGLWjxKA48pUS0wbBL67G0BfKsMu2Mgx9oUwheGs5hjy3BoOfqcDgZzWCGYCDfq0B/Oh6lQq9sQqDH6rG4IeqMehhtTQg3lCDnasVfDtXKwh3rqoxac+h62tM6rMF4FKN2FUebikVmvBLc2g7YoVqAq+VAK3R222Rh97uCz0EW8sFei6bH72gFmPmKQxbydCzFYR7TdcJ0NNrTPJz/P013vi0Goyf6qVB95mkOiFb4/feaux3jwJw/3FVan1clcEwQXjQcAZZDdakNJ3YnKwTmzV4zXjKWi/9mQN45Ho7DXq4PYdjmgBs4DtojUl/tuDbvwyHDlpj1lP7rlb47bsaU3uXmjbpzxq+JgFa49cAmVDMwatxS2nO1r6wJT6J0BZyOUBDCjyo0jo1xy5BlxAaMNeGKm+Cc0iBWqfmn3WzDl7gYZqfn2OYJ0NrNPoAhyf98iRgB8A+4NOoM6nQGno8DdmCMSUh689wQWelN7sI5qnOPAlaw80vhv0lS9852xd6+lnwZ+PzooDDjz8bBl9r+d37DIRTvpHpvTjgCdr8mbJjzYsCP5/jM06IdrHuYt4f6jmY/SDY+jro526hmz7nLwHwd7NaIw4VgB8qxU6/qWxxd3xIACwlJdV2SgAsABYAC4AFwAJgAbAAWADcFgH8y9Xmbyq1pDv+cnVrvEcpKSmpWyoBsABYACwAFgALgAXAAmABsABYACwlJfW1KAGwAFgALAAWAAuABcACYAFwGwRw4C9Wq+9PLezAXwiApaSk2k61AwDceyrIQuSRq0F4/GpHH6ASjM81tvcJuCLc8oArd5sHbRFoaZ0jl++jwCv6bAq+4iFXdVdCrOsn6FLTNs0n+PI5+xvCccflWNx2KQ63XYqzEEwQrjqTZsG18nS6AS0PyKJ1wjMPxKKArQ1nh+KGs0Ox9kyqAXDJqQwTfOUil+Cb/3EW5h3LtpaEZH4MhWNNOjwdpx6ZijlHJ+PUI1Nx0uHpmPl+Lo6vm4kjDs7FtAPzzJLQObZulkHw+LqZ1nbm+7kGzzwki8Cb+NZi7P3GMqv7711i4EoIjttdZG3Tev+9S6zQK4Izb5ofv9vDbsxrHoR5ABbBl7AbtaMEI15ehZGvqGXEy6swfHupWRKEu2wrw87Pr8GQ59ZgyBYF4JAta0wwVtCTCsEmBOtRLwgr6FdsuVEvH2bBWBtqMOTBGuxc40E4tFKFYFno5QFXrDmKCcYWkld6AI4oZgjWEKaxqKUKtd0WKehGL9DwXaBDr+br9QUMymxp0KznxuYpDPd8QHWv6TaCDYT1kgdgmdYYpkCsvvfqQCwG4IEZ63HA6CovBIv14GHrFFg1dgnCQ1LWYvKQCkweUmG2TbBVqh2WZYA8wgM235eUus6ci8KweBBWSv8y1SwAy4xR61AsCsIyEO6x0rTBL4E4dgUOi16uoNtdB2B1L/LWo5er1tvpkcu8kCuOYQqiClviYdMNrOLwdeHJ8Rkw12tCGKHYRTBB2MW1vyAtmkfLoPkeigng9Dn0mYRHCoJqLuiII7jd/QpfLMDJRbEP1DR8fcDHcGhhmhD3kxwPrjzIivCrkWtwRkCjMC3CGkc0zePbHNocunRewrQGsRWcxQKx/IVUmfuicDBC8D+MV/2NTNMmLMt9UUAvBgiYPEDMT1iZ9fkUqsW+flbzrzudjwWTmedA9+48O5/wNH5uPsZCuFp7CFbghtUY9Ov1Le7ADQJgKSmptlMCYAGwAFgALAAWAAuABcACYAGwAFhKSuprUQJgAbAAWAAsABYAC4AFwALgtgjgB8vU96YWduCDZa3xHqWkpKRuqQTAAmABsABYACwAFgALgAXAbRHAtWXq+1ELO7BWACwlJdV2qh0A4BsnQ3B/QzjWXQkxwVKHGkLx8JVgK2SKUEw45esEXQrIIuiebAzAY1cD8cjVIAPbC9fa+wUzPw8dz4F87GqgAe6e+khzzRzEdP103bSPB1658KXxnZejccflWNxV3w23X+qB2y/1MEFWj50fYMBKeK06k4alp0Zh+ad3mYCsh84OMQFZPCSLuvZMqgnDon21Z1Kx8nQ6Vp5Ox5JTGVhyKgMXHx9vQq3yjmVbqJ11bCLmHcs264RhPi/3o0mYc3Sy2U/HTv5wGo6tm2UgS+FX6QfzMePdOQbEBFsefOXil4KxaC5BOmn/Quz7ZiHG71ZQTdizFON2FxmcElDjdy8zwVU0j+OW5tExsa8XY/TOFdj7jWVW8FX0zhVmPW53kTkv4Td65woLwmEvrTbYpbCr8O2lPgAOfaHMC8CiEKyn12LQE5XY6XEPv50er/RCsX7FAPyIB2ErDIsjuNrDb+j6GgxdpwKxfAKwSjzcEni7lmjsFvs2hy4PwopaWotRhV6wFYG22yI1HrWEIXiBB+PoBTr0Si9j5rFxFooVM68We87UncuWHMUawBSClTBRBWD1uU+NJUyswX73VJvuP94OxUocW2UAnDimCgdmqAArHnZlAZhB14A4ea0VjEXjyUMqcEjyWgNlfzDmxyQPXmMQnDx4jdUpieUGwal9V3vdW8GXB2Gl9i7F1IRSC70UfkVjJhgrqsgGcJTXfkOx9JjpiKW+CHZh6sKXNwGUI9id4yKYAOsGXPkL2KLm8OUoJyC7gVwUZsTh5wYl+UGeFfbEweUPshQAxQGsEew2IdHAmiPcCVhyEWYg7y8Ai0KveBgWHUvn8heY5cx1P8t6ZjwwrN39Hj6/P9V7AaDv0b1/DmMKyUr5Rqa3n70UMOckFLvhVRqYfl8ucExzmNI5+DN20MrnmWfF//y4YWrsz4yFcP1naOg/ZbdGHAqApaSkpJopAbAAWAAsABYAC4AFwAJgAXBbBHBNmfd9qQUdWCMAlpKSajslABYAC4AFwAJgAbAAWAAsAG6LAK4uU/8Up4UdWC0AlpKSajslABYAC4AFwAJgAbAAWAAsABYAC4ClpKS+FtUOAHDXyc54oCEMDzSEGSASGik4ilBJoDx2NdDAltaPXQ20QrN4mBWFaNGc040drG0au3ztTmy8fqcJ2SIEE4AJum7vbwjHXfXdcG99hBWQRXjnMK67EmIdt7c+AvfUR+Ku+m6483I07qrvhjsux+KOy7G4/VIP3HKxj0EwxyshuOL0cCz/9C4s//QuA1kaqzqTZgVeUZAWgZmP8UCs0lOjsPDEOCw6MQYLT4wzwM39aBLmfjTJbLsYpvXpR6fg9KNTzNj8TyYYFE89MtUEYhFo0w/mY/rBfJ9ArJR35pt96QfzceShPLOedmAeph/MNwjmx1OQ1eB9BThw3yIr/IowS2ilACyCa89dy60Qq5jXik2IFWE25rVijNtdZGBNS/f47q+utMKvwl5ajWEvrcauDnhDXyjDzlvLveCr59aoMb0d/GwFBj21zkC3028qTQc9qkOwfr3e999O/coXwAbCG3QQlu7QyloD4LA1tRhW3kwQVokG8EqvTeDVcg+8hNyopSwEa5mGLmuCsAm0okCshTZ8DXo1dGPmqdCr2Dzdc7wgLBrrMdsb7znTDsfqNa0Ge0+pwfipGr7Z1ZgwsQb7Zqnwq4RsFYBlIDxOwTdxjMLvgLvXq5AqagrDGqGbhWFx2BJYzTbvJC8oyyyTNIZT11nITh7C0JtUYUHYJxSrX5kPfGmdgrDSepWY9WExxaop/MpdjylWgVcaxBy+FIxlsMsDsDiAw5aopRuC5QLYRTCFN3XI84UvD8ryF57Fg67ccTcQi87Hr4sHY7nX5gfAHJJWABbHrx+MucFLPiFQtP6dSRYI/WE47TuTFIR5iBP7fPdaOAQ5Tn3aD2x9Ar9cQDeHYo1n6xnxZtdpPRN9b+Y+/TwLjlcrDIs9Pz6Hh4650PR5QcFhzL6GVpgWR7V7j/w5sT8/PDjMJzjLT2jY0O9PbI04VACuKsegh6tb3IFV5a3xHqWkpKRuqQTAAmABsABYACwAFgALgAXAbRDAndaXq+8/LexO61stgL8NAJ8CwHf+3hciJSX11SkBsABYACwAFgALgAXAAmABsAD4qwhgAIAmAPjHv/dFSElJfXVKACwAFgALgAXAAmABsABYANwWAVxZ7vO951a6U2WrBvBqAFj+974IKamvSo0CgH/4e1/E37lMCNaRq0EGiARdDmLCMAVQcRhzBBM4XQwTdgmgtKy7EmKOO9kYYAVfURAWD8GiYCuCK78uGufBVjTOw7Douvn4oYZQ3FXfzSCYArG2XozHrRfjcfOFBLO+5WIffPx8okEt9YazQ02oVdWZNINi6pJTGVh0Yow5jqBccioDi0+OxsIT47DkVAaWnhplwrDKP70Li0+OxoLjmSYQK+9YNuZ/nGUBlwBMPfXIVLOf5uQcnYzTj07ByR9Ow+zDMzD78AzM+iAHsz7Iwcz3czHrgxwTfMWhS9hN2r8Qk99egEn7F+LAfYswaf9CTNq/0CCZwEyddmAeJr+9AAfvK8DEtxab7r93CfZ9s9An3Kr7qysx5rVijNpRYpYUXBXx8ioM316Kka+UGLiGby/F7q+uxIiXV5ljOYrpvATgrttLMezF1V4I1ote4FXnreXYeWu5WQ95bg12fl51yBYF4OBndAjWk+uw0+OVGPSE7kfXY9CmKgXgTRq9m6q8cQIwb/0fFZ1rajCktgY7V6kOXc9CsTSIKQyLQrAIuxErGICL1ZKAa7Dr4nepF4RlwrB0CBYFYnEIm7ECG8cx+Q5+OXjzPAjHzGUBWXMVhnvM9kKxeDBWn/u8UKy+91Zjv0zf8KvEsVUGwoTgAXevx4EZqjmGB6dXqvAq3QRkF7qEXRofOmiN2U+oNWODPdgOHaSCrmidIGzwSwBO1Aim1qFYBr49Vhr88sArvqR5BsDRy1V3L7KDsWgsermH3YildkhWxFIbwgRLN2iKg7Zjvhc0xYOYXAwHzFVN4Vf+EO0eR+scxDwUi8b5NXXI820+n0Ki/IGGB1ExbPmFLwcVzSN0EWwp6IrG/SGN5voLcuKQcwKi/MLXDcVy9nGsuRjmmPN3Xp+XBP5wrsOlfADLnoEVBMbvje/nAWLfmuD3OQ77/lT76+Wg3P2amTENaeuFgoPpYT+cbod+0bNhf16scDAXwTT3h9Nx6A/ua404/DoB+F0A+BMAXAOA9wDgEGspKSmn/gUAGgFgBQB0+Dtfy9+rBMBfQwBPOjz9tgM47cC82w5g+gnv7QRwyHMC4L8YwHNuP4D7j7v9ADY/0b2dAOY/+b1dANb4va0AprGvOIAteN4uADeXZPxVA7A+320FMH/2twvA/M+DALglAP4UAP7A+t8B4M8AcLfeHwMABwHgCwC4DgAlfq61FNRfY/43ADgAAN3+m/dacpOWkpJy6h8BYCKo/2H+CQBeAYD0v+sV/e1LACwAFgALgAXAAmABsABYANwGARxUWa5+9V4LO+gv/wnwXAD4Laj/xv4nALgBAOV6uzuon9LOY/MXA8BVAIgCgDsAoAIUlL/713sUUlJSzVUkADwIAJ8DQD0ALAWAH/9dr+hvUwJgAbAAWAAsABYAC4AFwALgtgjgdWvU751vYQetW/OX3uNpUIgFAJgCAP8MAN9g+/MB4CLbrgeAPLb9TVCAnvgln8P/CeM3btJSUlI3qf8JAIUAcBnUX8M4DOqvYmT/PS/qb1ACYAGwAFgALAAWAAuABcACYAFwSwGcDAD/CQCd9HYtALzhzOkHAP8F6qfD7UD9dekEZ86bAFD9Jff3B7b+Z31O3jQmJSXlp4YCwDYA+L8AsA8AxoF6+wQAMALUW6i2XO0AAN8/3d4CJgcw4ZDQytOiaT9hk46puxJiJTBz9B6+EmxB+fjVjtYcN1GaAEx9sjHAXJ8Lc0pzpushCBNs3fl1V0J8sLynPtIkQG+7FIdbL8bjtktxuP1SD9x+qYcBMKVCbzyXhJvODbLSoTedG2QgzLHrwpajmHrx8fFYeGIcFp4Yh/M/mYD5H2fh4uPjTRo0zVl8fDzO/2SC6fyPs3wSoKcfnYI5Rydb6c8cvePrZmLm+7mY+X4ujq+biaPfm43j62bi2LpZmPHuHINa6pGH8nwSopP2L8TB+wpMU/pz+sF8a7+7pFRo6vjdywxiCbWU1GzSmnViMwE2fHupgXHYS6sNhAnNtKTzhb242ud8PP2589Zys22SnzevxaCn16l+SreGb6fHK+006Ec0fAnDlAK9scqAN+jharWtERxSW2PaJEJrCHdZqxOhWRp0WJlaGvyu8pYRKzR0l+tEaIbhqKW1GLWkFrsvsLFrcOsnBTp6vteU+mylQS/wtmPmKtj2mKWXsxmI5zAss7GeM73uNU2lQcffr5KhCcN9s1QStBuENWC06oEZ61XiM8GX1vkYYViDOCltnUmA5nA1+GUp0LRvSPJag9uUfmUKtTrMijqln8JtSn+13wJwog1hSoI2ECYMx6300p4JuTr1Oa3HStPDYldgWpxeZ3MMgKOKLPha+A0vVPAl/NI6JUKHLlJ4JcASbF3s+gOwi2Y34Zkjmc5JWCVY/3yWL36DF9go5hgnBAbM9T7fXWefYyVCu+nGDE5uWxhkcG0Wey7MXAjz9GR/mOSJyIRRHdxkpTk7ydfN4o0nPlMCMkubdvFnzaFnxRKqh7W73xf7/5+9e4/Pqrryx7+mY8dWW6aO/VbuSQgJCZcEQkICARIgCVEBuZVLwICEGC4hgCEEQiDkSi4kpYNaK6KIpV6xVgURQQGlRRFFlLsQCFB/0+lMp53L6zXf13y7fn/svfZZez/nwUpgSh/Xer3W65yzzz7nOc8hxb7PQz6PG/qlg78C7psz3zc5Wt9Pv6TugIRqth3wIIOnS3NEs/cf8HCE5jgo5g8Z+D0edcesmxfA62ox4kfN7e6wdX8WgF8EgNfY9hMA8KwzJwYUTDsDQFdQUO3lzHkOAB7/kvc3lK2nA0BakJaSknLqLAD8CwBsgMD/8VG1/e9dzl+kBMACYAGwAFgALAAWAAuABcChCOC6Wuu/M1+l73owHzukDccOacPxu6mpX/YeO4HK0+FZOjfyE2C3egDADwFgjtNSUlJO5QHAt//SF/EXLgGwAFgALAAWAAuABcACYAGwADhoh9V96SfAa0H9GiGvXLi23wH+J/jy3wHmNQ8A/gfUv9psZX3+K5xDSkrqa1QCYAGwAFgALAAWAAuABcAC4BAEcHhtrffflnZ0eO1VAfy3oJKblznj3wGVq1MNAN8ClQJ9EewU6GUAcAHUVx99GwBqQSVFf5UU6IsAMPErzJeSkvqaVwcAwI9O3IVnLnXC1ksdDThPtXUy4VWEVY5jQuOO833wlXPxJjhq1/nYgCCq3edjTOAVnYdjmXBMQVjH2roY7BLMKUCL49Uv4Ipe99Vz/XDH+T6463ysATBHMGGZg5nQ7B7z6rl+AQB+7mwibjo9FLeeScYtZwbjljODcfPpVNx0eihuOj0UHzs13KwThin0qvzYeAPa4qNTDF4Js4TgkqOTsfjoFCw+OsXgl5YUjEVzCcY0n0O44MOZmHd4Fs7+YLYJu5ryqwKceHC+wS6t87Fx7y7E8e8twPHvLTDr9+xfZIVdUVOwFXXqWyU4bM8yHLJ7OQ7ZvRzT9hTjyLeXmjGCcsqbpZiws8wgmEKsXAgTfg1gdXhV5POqXQzzORSWFfuLCoNqg99naw1+o16sMkFYET9XAVjhz9TZEH6yAbtvasTumxo95FL/tBHDHm9UIN7EArD49ymyEKyIDewJ+4+8/6MR2diMkfUKv5H1LRhVqxBM+LVCsVgwloEvLcsYfnXolcEuB+8SL6yKAqsIvf2WKDT3W+KhmOa5IVg03n+BQq3B8HwWfFXAArDc9XktmDBXbSc+0IxJuaqTcxSCeShW6kQVgkXItUKw7lFhVzz4iq+nZ9Wb8KsRGeswPbMe0zPrvSAsDmJCcZoTaDXY7sxkBVmzTKo04VgBYViDvUAsmm/CsPqv8TAbrAnGblMIVm+2dNoEYEUtV+tRyz34RhR70CQAc3jycCkeYuUGUHUt8o5xlxzHLobpnPzcfgB2Q7Dumm9fF4GX5rnYZkFeLjD9grAs+LFgKF/MuXBm+6zALRYUFay/NIyLUO6HOI41ts8CLo3zoCyOwiDnNfP8YOq8R/MAQN+7ACzrBwEu+jmMrZAwnz+XgLCsIA8w+HHmGHb/sr9fYOHWt+lnwAkWy/iHB25eANfUYo/1ze3u8JqrAngiAPwX+H97Sl8AOADq+4F/AwCrfeasBYAvQH1X8D746t8D/G9fcb6UlNTXvATAAmABsABYACwAFgALgAXAAuBrBfBfuraBBF5JSUl9hRIAC4AFwAJgAbAAWAAsABYAhyKAq2vN1+y1p8Orb2oAbwCA34NKna5yWkpKSiqgBMACYAGwAFgALAAWAAuABcAhCOCIqlr135R2dkTVTQ3gd4L023/Ji5KSkrp5ywD4VFsnC79nLnlN+2j9yMVuBrD7WqNwb2u0hUVaEowJnjSfjiWI7muNMiFYHMmEXtrm4Vs89IrOT4jlgH3lXDxu/7y/dS0c6RR8xa+ZjqNjCfc0RiDeeibZ6s2nUw2CN59ONSh+7NRwE4bVdCILaz67Fys/HYuVn441YVc8yIrCrAo+nImFR3IMaos+mmaFXRGaOZgpQKvk6GQrFGv2B7Nx2q/zA6BL4VcTD863sDvu3YU45kAhZu8vMuNjDhSa5hjmAVipb5VgypulmLxrhWna5sFXKW+W4rA9yzBtT7FBctIbKzF51wpM2FmG8a+XY/zr5djv1dVWsFXk89XY8wUvuKrnC9W+QVkE454vVKvgLN0E3J4vVFuhWhzDET+vNUFYYVvXYfgzGsBP1WPYU/Uq/Gpzg8EwQdcg+KcayI9rJNM+FogV8WMGYPquRQrCatIAphCsWjsIiwBM6wbCa1uwV4WH4d4rvPCr3qVqnYdeGegW2fiNK9K4XWjPMft4L1bL+EKFXDoPhV0NmKdxy7CbkO+tD8xrxoFzmnFAgYbyfO+YhLk6HOuBZhw0sxmTZ9ihWAbA9zRYnZbdYLBrxu+2O220QvDI9DoLw3w7PVOFZfGgLArBykypMgFWPMgqM7lStRNylZmkxg2Y9fEWgBPXesFW8avNcnRcuReKFQzBNKbnZ8euNE2hWAbJfcu8/RSIFbnMDsOigCwKruJhUi4sOUi7LAqEsBteRfP4cX7rhGIeaOUXbOWimdZ5sJa7j7bvmq/QwwKVLCxR8BULwLKClr6kffFM6OJQ5OFXPByLh0m5IVo+8PQFnAtXHgLGsGyA5yLbLzyKh4jxeUG26RgL9fy9uEuGXStkzMEyf1hh4Zs/HOD3nz/wcB4o+N4jepDAQ8Z4ANf38jD7+wUCYCkpKam/shIAC4AFwAJgAbAAWAAsABYAhyKAK+swsqGl3R1RWXczvkcpKSmpayoBsABYACwAFgALgAXAAmABcCgCeG0dRta3tLsj1gqApaSkQqcEwAJgAbAAWAAsABYAC4AFwAJgAbCUlNTXojoAAH543B/ANEZhVMfauhgAE04JvxydHJgESwqc4kgmTFL4FEfyvtYo8zrH2rqYAC4eUkUQfeVcvIExf2339dzro20K8+LIfe5sogm+Igi/8HkCvvB5gtn33NlE3HJmMG47Owi3nR1kEEzwpe1Np4fihpOjTBOE647fjTWf3WuFYpV9MgGLPpqGSz6eagBLQJ5/ZIaB8fwjMzD/cK4ZI+jmH87FwiM5WPTRNIPm/MO5OPuD2ZhzaC7mHJobFLtjDhTiPfsXme179i/Ce/YvwjEHCk3wVfb+IrN+z/5FmL2/yACYN4VccRAn7lyJA3aswvjXyzFhZxkm7lQYTn2rxMCYOmFnGSbvWoEDdqzCATtWYdxr5dj7lQorEItwS2FYhNsez9VYAKZ9PZ6txfCf1Zlgq/Bn6jBimx7TTfjlYwbATysAhz2p8bu5Abs/0aCQ+5jCrelHm9TYT/T2w+u9cY3g8I0awi1eAFaPJi8Ei/7pWc86DWE3CItjuFKFYVHHrFZBWNQE4T7LdPDVUifUioVgmWArjdj4hTrkis2xwKyDr2jugHleCBY/Nr5QA1djOGGuB+CBeaoT5iogE34JwImzVQ+6X0E4eUYzDpnUhEPH676vEYfe14jDxjZaEOadnlVvlga4GeswPaverFsgHrkOR46oM0FWGak1Bq8GvEmVCq/UGrBZCWts2LpjCXpb7zeIpvPoQCwKxTLr8as9FPdbpYCrlwa8vRl4GY6zY1d6IVi0TtiNWu4FY0WXqnUKxqImiBJmeQdDKgGYjnMByqFLYVYugP1CrxhKDHL5sbTNz01zdTiUOU4jOPv7BYEhUQzGFqg4tPg2C7sy8OLtANtAkAVl0Tld+PFts85RzFBortUPwm7wFQ/Mct83gZe/pw4PBGLReY/WXJ99vmFYX/ZAgQVjZd4y1Q4M43B2ArUC8M6vx4WwO/fOfHNfrAcl/H3fmY+jvpd7M+KwAwBgj4o69TC1nd2jQgAsJSUVOiUAFgALgAXAAmABsABYACwADkUAr6kz/w1pT/dYIwCWkpIKnRIAC4AFwAJgAbAAWAAsABYAC4AFwFJSUl+LEgALgAXAAmABsABYACwAFgCHIoBX16kciXZ2j9UCYCkpqWur+wHgPQD4FwD4Z1Bf0D3EmfN3APCI3v8HAHgVALo6c9IB4AgA/CcAnAMSjrn1AAAgAElEQVSAeddwDioD4ONtnQ04j7d1tgKwaN/Ri13x6MWuZuxYWxc8erGrwakbjEWhVByYBMnnzibitrODTMgUxyaB9kBrJH5wMQwPXogIOCchlm/TsW4IFq3vbY3GA62RBtx+AHYDsDiIX/g8AbedHRRw/RzENE4Q3nR6KD52ajg+ciodHzmVjhtOjsKNJ0fghpOjDIIpEKv82His/HQsVnw6Dis/HWtQvOTjqQaxue/PwbzDs7Dgw5lY8OFMzD+ca7bzD+di/uFcLPhwJuYdnmWFZhUeycG8w7Mw9/05BsLTfp2PU35VgJMPzjOhWARiwi1hd+TbSzF970OYvvchTNtTjOl7H8KMd5aY9ZFvL8WMd5Zg1r7FmLVvsZmX+lYJDtm9HFPfKsHUt0pw2J5lmLxrBca/Xm4wTOsEXdomAMe9Vm465uW1pmN/UWHWe22vNIFWUS9VKew+U6fgqztimwq1omCr8GfqMOzpdR5ut2jgbqk3gViEYB6CxeeFPakRzIOwHtcBWHosfON6BV4dfsXXaTviR83YY73upmbr6ycsAOswLBOKVamCrzh+aZvwG1vWgrErVfde7oVg9V2qw7CWMgQvYmBd6EGYrxNwOZIJuwRhHmhl1gs0bvO9c1BAFgGYozcpV0F30P3+nTyjGQdPWY+Dp6zHIZOaMHWigvCwcV77hWARgqlHZCjojkxXPWIkw3GmmjMyvQ5HjlD7Rg2r8cKrCLG6KbzKQJgwy5cMuSbUSsOWzmmgG7/aQzTD8+j41VaglUEvaxp3YWzwS+iNWq7Qy/FLMKZwrMhldqAVIZcjOGwJZocv9eaFL/UQSjjlWOVNEOX7XCxT6Bbfx1HLX+uu+YHzaVz36DvzbRBz/Drw4fMMkjo8EDx8KRiAOaAoEIuO5Yh1MMex5+Iv85apJhzKwiCHIwM2oS37B/Ns5BEOg+HZhSy9Dw5rP2DzwC0HngFhWUECtXwxzECcdWuOd19umer7UMF6YNHhAX/o+z3w8AnGch8g3MwhWD3K68x/O9rTPcoFwFJSUtdW8wEgEwBuB4C/BYDFAPBHAOjM5jwCAEdBgfU7APA0AHzE9ncHgP8Ahd5bAGA4APwbANz3Fc7BqwMA4PvHOwbF7/UA8NXwy1OV2wPgq+GXJ1G3B8BXw+/1AvDV8Hs9ARwMv2MOFF4XAF8Nv0lvrLwuAL4afq8ngK+G3+sB4KvhN7L++gE4GH6vF4C/DL/XE8B++B0y6foA+Gr4HZlWe30AfBX80nnaC+Cr4vd6A9gPv2FLrg+Avwy/1wPAV8Ov88lxuwHsh1/nk8trBfDV8Guutb0Avhp+/YDYDgBfFb/tBfDV8CsAFgBLSUnd0Po9eHi9FdSnumPY/jsB4P8CQKreXgPq019eLQDw1lc4By8BsABYACwAFgALgAXAAmABcCgCeFUdRlW3tLt7rBIAS0lJXZ9KBgXTcL0dBwD/DwDucuadBoBCvf4yAPzE2T8dAH6n1+P/jHPwEgALgAXAAmABsABYACwAFgCHIIAjy+oCcyOuoSPLBMBSUlJ2PQUAfwIFzz/59Ns+x3QDgFYAqGRjQ/U5bnXmHgKAMr2+BwDWOfuzQUH6zz0HLwGwAFgALAAWAAuABcACYAGwAFgALCUl9WfXbQDwD1fp7zrzewLAeQiE7PX4BPjPOQevDgCAObm34ay5t+OsubfjlmfuwLbLHQ2Cj17saqUxUx+52A0/uBhm0qA/uBiGH1wMMyCm/R9cDMN9rVEWSp87m4hbzyQbPL7weYLZpjHC6L7WKINWjlTapjHeHK98jt/63tZoPHghIijU+TVy6G4+nWqlQm87O8gEZdH8V87Fm3RoF8EbTo4y+K357F6rCcSE4KKPpmHe4VkWgmmdtqldKOcdnoU5h+Zi7vtzcOahPOs8NI8wzBOhs/cXBaQ+p+99yKQ7u+scxnQsHUc9bM8yTHmzFFPeLMWEnWU4YMcq7PvLNdjv1dUY+4sKjHutHPu9uhp7v1KBfX+5xjSlP8f+InA89hfePgrFopRoAmzEz2sx4ucsAZrj92mN3ycbbOTyJiA/Xa/mawR3f6JBQfcnLPH5MQXg7ps8AJv050d1GvTDGsAtzRixodnDcEuzwnCT137wNV3dgr3WBuI3ZrWXAt17hQ7AKmvB3qUt2KdEJ0EXOwFYRRrARV6ys0l+XuSPXYLxgHleqjNHsEHuPBu8CXNZAjRPgSb8zm7GpFkKwCb1OWc9pkxfjynTVCfnrDdjg3+oW2PYBGK5CdHjGg2COX556nN6ppcITSnQVqexROgh1ZgxuNpLh06u9BDMgqys9Ga+TQDWKc1m2W+VNddKjE5YYx/fb5WCsANeSnu2xmJXeknPLoI5djmM+f6IYgVbap4QHVHs4ZeQTOnPlAhNcCVM0rpfu/sIr/wcfC5PhabmIVp+r0XhV5Tu6wM/E4DFjrFQ5yYIM9gGIItjK9jxDIAu2gIAqNOhOX55arQBNK0HSVoOGl4VLNCKAM8x64dJ5zzm3rHjLADzY/U5XbQGpGfTe3feH2E44IGCk9Jtnd8FO38P/H3rYwfeloVht/bFsFv7YrdbY29GHAqApaSkbpqKA4DfgP+nsX6/v/t9APhv8NKi1wDAh85xX/Y7wHSOoL8DzL8GqfVSRwGwAFgALAAWAAuABcACYAFwEACbJOk75t7UX4MUubLOfFVeezpypQBYSkrq2moIqK9AKrrKnIdBJTZ3A/XJ8dNgh15RCnQBAHwTAIaBHaT155yDlwBYACwAFgALgAXAAmABsABYACwAlpKSuu71NgD8D6ivPvp33X8EgBVszt8BwEZQ/6T5jwDwGgB0cc4zHBRw/xPUP6UucPb/OeegEgALgAXAAmABsABYACwAFgCHIIB7rqhT/51oZ/dcIQCWkpIKneoAAHjsxA8MfFsvdTTr5y51NDA+d0ltuyA+eCECD10It5rgS+uHLoTj3tZoA1TCqRsytfVMsoHkc2cTLdxu/7w/bjs7yARREUY5Nnmo1q7zsbjrfKwZ583DsQjDB1ojTajWK+fiLdy64V1bzySba91yZrB13fw90fVuOTMYN59Oxc2nU/GRU+kmBKvlRCa2nMg0YVgEYgrCIgQXH52CRR9Nw/lHZgQ0gZbCrXIOzcUpvyrAKb8qsMan/TrfNJ9H6zwYa/x7C6xArDEHCk3g1ZDdy02w1bA9y8yS8EvhWDw0yx0b+fZSTN61AlPeLMWkN1Zi4k47FKvvL9cY0Ea9VGUte7+ioEwAJiz3e3W1heKol6ow8vlqE2YVsU21CbviTeilfU82YPfNujcxzOpwq+6bvKW1X7cZIxzzZqFYET9ejz2am62ObFTdo6kZI1rUes91KhCrZ10LRtWyAKwqHXhFvdYGcWyZF4AVAOCHdBDWUgXeYB1XxAKwCj3gEn77L/CCrAY8qJfznCVbT8h3AKwDrwbOaQ6AceIDCsLJM1QTgAdP0RiertYJv4On6P0/ZDCe4s0ZMqlJhWONbcThYxoVgjl4dbvbFoTTGYKHVGNmSpVC8OBqa9sFroXgfqsUWPuWefDtW+Yt3fAqQnFceSCA+f7eXigWP96AmIKtOHIp9Cq61BuPLrXDsCKXeU3YpXU+5u4LX+qFZBGEuxbZgVcMpgZKHKjUHKA8nIr28XNxZLOAKxNixXFL4VcENY5YHoLkBGYFNA+RckEcDL+8aR7HGQ/CIvhysLmQu+1+BT9qJzArAIt63eCP3QfzYIDj2A+3Lho5/vn9+15ewJ9HQKgWCxcLuDcMywFBWCzgiz8kIADzwDArJIwt/e6B9WfuhoQ5PyOjvjvjZsShB+CKlna3AFhKSiqUSgAsABYAC4AFwAJgAbAAWAAsABYAS0lJfS1KACwAFgALgAXAAmABsABYAByKAC6ts39N5hq7Z6kAWEpKKnRKACwAFgALgAXAAmABsABYAByCAI5aXuflQrSjo5YLgKWkpEKnOgAAnjp5F/72Smf84nIn03y79ZIKxTp3qSMeb+uMhy6EW/Al8HL4HmiNNPv3tUbhwQsReKA1Eg9eiMB9rVG4rzXKBE+5SKVtjuKtZ5Jx8+lUg8/Np1MNPjefTjXY5OfhoVc8EIu/HmGa0OrC3A3E4gDmwV08CItvu9fMIfzIqfQAAFNTIFbFp+Ow9JNJWHJ0MhZ9NA2LPpqGSz6eakBceCQH5x+ZgfmHc02wFUfwlF8V4OSD88z6xIPzrX00NvHgfJx5KA9nHsozGKbxyQfn4fj3FmDWvsUm/IpDmDcPx6JO21Ns9nMsE6CTd63AhJ1lmLCzDJPeWGkCsuJfLzegjd5eidHbK1XAFfWLgSimIKzo7ZUY8/JajHy+Gnu+UI2Rz1d7CN66DsO2rlNBWFtVqFX3zQ3Y/YkGe8mgG/bTRhVi9RMdaqWDrKjDHtcI/qkTivWoE5Cl1+m4iA0q+CqiRaE3sr5FdUML9lynm+CrO7rKxm7MarUeXemFYMWu0q0R3HuFBjDhl7UF3sVq2ZfCsRZ5YyYQayELuXrQC8DiEB6Yp8KsOGxpnhWAlecBmDCc+IAXhMXXB93PEMxDryZ7SwvD09cHhGelTmzC1AkqHGv4PQ0mFIuCsdKyGzBtNAvIGulBeOSIOhw1vBZHDavBjNQas8wY4gVhUTBWZnKl6qRKD61x5XZ4FQ++IhATYDlQXczyjllhxun4oKFYPPSKwzcYjnkAFg/JonUOXrd5MBaFYHUu9LrLIjsgq3Ohh1iOJIKriye+j0Ky/AKvgh1LKCPYaPTxfQFBUH7w5mFaznZAgFQw7LLwKz/cBgvG8u1bc2z4agxnfGNKAITNtk84Fl2jhWAORBf0wYK0gsx1/xyven5auiFjLoZ5YJgPjn2P0eFhQR9a+Dw4sd6bPk4ALCUlJfXXVQJgAbAAWAAsABYAC4AFwALgUARwSR3GlLe0u6NKBMBSUlKhUwJgAbAAWAAsABYAC4AFwALgEARw9LI6778H7ejoZQJgKSmp0CkBsABYACwAFgALgAXAAmABsABYACwlJfW1KAPgKxq9v7/SFX97pbPpLy53wiusz1zqZIVgHW/rjEcudjP4PdAaaYBLSKZtPkZLmk/L3edjrAArCpHadHooPnZqOG46PRQfOZWOj50abrY3n04164RSNyiLQMtDuCgsi4OYArncJpATyrecGWwAzkOx+Pztn/e35tJ72HhyhHkPBGEeilXz2b0mBIuCsJZ8PBWXfDwVS45OxpKjkw2Ci49OsRBMoVgUaEWhVhMPzsfx7y0w6wRj3jROSx6cNe3X+Tju3YWYtW8xZryzxIRZpe99CFPfKsGUN0utYKwhu5dbIVkcyWl7ig2OaT+H8pDdyzF51wpM3LnShFv1/eUag96eL1Rj1Isq5CrqpSqM3l6JvTiQX6wy69HbKzHqRQXmHs/WYvjP6jD8Z3UY8fNajPi52iYQhz2lArDCntQI3tSI3Z9o8MKsHvECrCjEKmKDwmv4P67H8I3rFY5ZYJYB86OBx7vn6NHcjD3WeyFYkfUavyz0KrrKQ7DVlRrD5TZ6aZvwayF4aQv2W+qFXfVboseL9fhSD8MEYAq/ogCs/gs8CBN23XArs9SQTcpVTbglBFMnzdL4na3mDbq/GQfNbPYwSwFXOtjKIJhBOHWiDWOO4yGTmtR+vTTBWC6IM+sDA7B0jxpe64VhafxmJlfaCE6qNJ2VuNbeHljhBWL1W+WFX8Ws8HDKm6DqwjRmhYff3nYHRTMPuYpa7sE2GHr5fr9xDmIXwBzBXYu8QCxCL8cvbTshVqPvmOsBhMHEwjHB2UG0gSpbBiCLzncVrJlQKJoTBOfW6+ljsu+ab6OK4cmFrQVfHrjEx9mYBT4GOQNCJwTKagbjrFtzvhyNdI1+AVgueP3G+Pty57D7aQHZ78EBh7EbvPUlDw+sefqafAPGnAC0oO9B96jv5NyMOFQALq7zAhHb0dHFAmApKanQKQGwAFgALAAWAAuABcACYAFwKAL4oTr1TQDt7OiHBMBSUlKhUwJgAbAAWAAsABYAC4AFwAJgAbAAWEpK6mtRAmABsABYACwAFgALgAXAAuAQBHCvpXUqA6Kd3WupAFhKSip0SgAsABYAC4AFwAJgAbAAWAAcigBeUoe9S1va3b2WCIClpKRCpzoAAB498QNsvdTRgJdD+IpOgm673BHbLnc0idCn2jrh8bbOVh9r62JgTCh2k5/3tUYZ+FIyNG3zsX2tUVaS8qbTQ00THDecHGWhmM8heFI6NKGY2g/G9HqU9Eyp0nQsT3Om/dSEYf56fH3rmWRz7XT9dK0bTo7CphNZ2HIi01pvOpGFDcezseyTCVj6ySTTBGBCMHXhkRws+HCmSYTOfX+OgSxPhh7/3gIc9+5CqwnHBGQC8fj3FuA9+xfhmAOFmL2/CLP3F+E9+xdhxjtLMGvfYhxzoNBKdebYTXmz1HTyrhVmyVFM+ylResju5dZxdEzSGytNInTMy2sx5uW1BsHUUS8q/PZ4rsZ0L4biHs/WmvHI56vV9rO1Xhr00/UY9vQ6BWBKgX5M4dWC60aG1xaFV5Pm/KNmjPixDdzwf1yPYQ8zHLPzRfzYQzABuEeTB+CoGp3+XNOCUdUKutSU/BxdyZKhdSp0zGrv+xt5CnTv0hbsU6LapEAvZRjWHbc4SBd5adBxi3QadIFOdp5jpzmbhOc8D8AGwS6ENYZpnc5D6c+DZjZj8gwvBTo5x054HjJZpz//cL0HYI5jSonWACZAp05UCB46vgmHjW3EoeObcOh9jTh8TCMOv7sBR2Ssw/TMehvBGr4j0wIRbBKhh9hJ0AbByd6SIJzVX6dEu6nNPJnZL2mZoMnTmyOXGTBTurQ5H0+D5qnQPBGakBtRjNnhS+3X4mh2QRy+VEE3fKl3HJ2D9hF+Oxd6GKYxQjFvgjGDsC9E7pjr4ZclMQcglSU+W+eidpFEANb45gnQAWnANF9j3QCYp0U7KdMWKv3gy3AXADPd7jkM5BzMmubpx7fmmJRoSoY27UCYH2fB0L2XLnzdVG13jCc7+6A4IH2Z49dFMJ2bo5g/NPCBq5XA7XPPRn93duDPHPu5o76ZU6D/FwE8GAD2AsAfAeD3APAe2/cnAPgvve/f9bKPc3wlAFzR+/f57JeSkpK6biUAFgALgAXAAmABsABYACwADkUAL67D3stb2t29Fl8VwINBoXcmANwKAN8AgCS2/08AMOIq11oCABcBoLc+vg4ALgPAbe29CVJSUlJ+JQAWAAuABcACYAGwAFgALAAOQQDHFNWZv/Pb0zFFVwXwAQBousq1/AkARl5l/3kAKGTbfwsAvwWAGV/tLUtJSUn9eSUAFgALgAXAAmABsABYACwAFgBfC4C/DQD/AwANAPA+APwOAA4DwEQ2508A8BsA+GcA+BAA5jrX+ScASHbO+yYArL8+t0JKSkrKrg4AgO8fV7ClICzqK5c7YesltY/wSwCm7bbLarv1UkcD4aMXu1rBWLvOx+Lu8zEGwIRejmIehLW3NRr3tkbj7vMxuON8H4PQbWcHWYjkQViESgqYeuRUugnHonUKzOJwfe5sogEwNcH4hc8TzOtuOTMYN59ONfjdcmawgTEFX/nBlzDN4bzlzGBznRR+1XQiC5tOZFnbDcezseF4tgnFIvxSFx+dgsVHp+CSj6di8dEpBsaFR3Iw7/AszH1/DuYcmmsAPPNQntmmkCxCLofwxIPzTY9/bwGOOVCIWfsWY9a+xZi+9yGrxxwoxHv2L8KsfYtNKBYPueLQTd61wjSFZhFuacxFb+LOlZiwswwTd67EATtWYfzr5dj3l2sw5uW1BsPROgCLOvL5aozYpmAb8XOF3IhttRi2dR2G/6zOg/CzXhAWD8gKe7oew7bUY9hT9QrBP21UIVYPa7T+iIVWNSusRrRovDZ7EO7RrHH8I9YtzrH6+B7NKvyKd886hV9aUhhWrwoFXd4E3tgy/bUVq9QYBWMRgAnDfUpYGFaxbgfCcYs0ehdp+DIAxxd6QVgD5ikIGwDnOeh9wAu0Ssr1EExjyTNUD5qpsEvBVzwEKzlnvZqXo8CbMo2BV0OXUEv73BAs2k6dqJBL+OUIpn1D71OhWGnZDZieVY8jMtaZNhge4WF41PBaD7/UOggrK3EtZg2sUBAmEGsIZyWsMQDO6r8GR/fVYOXhVDxwKnKZh0kCZ+QyteTBUzy4igOX49cNxyIQ+72mX1AWPzcPweLH0PUQgnkYVtgSb6zbYoXesCUKvrydQCzfICSfQCoDYD9E+WHNRQ4HEwHNBTUH4FUwGIByHqpFgOZYcwKaggZAOcizoEvBVj6gNcd2eMAKxsq6NcdrDkKOY45kfj73PtA95yh175Pf/WLrFCJm/Qzw87r33G+cY9vvz/2OuYHvgT8U4Sh237O+5zdzCFbMojrss6yl3R2zKCiAu4AC7BcAkADqnz9PAID/Bg+1I0D90+ZbAOBuAPhXACjQ+7rq43s5530OAB6/njdESkpKikoALAAWAAuABcACYAGwAFgAHIIAji2s8/6O/4odNulBvHNgGt45MA3/IT412HukT3DrnPFdALAuyLVVgBeSJZ8AS0lJ/a+XAFgALAAWAAuABcACYAGwAFgAHLRjC6/6O8Bn4asBeA0AHGTbfr8D/E8gvwMsJSV1g0oALAAWAAuABcACYAGwAFgAHIoAXlhn8h7a07ELrwrgIlC/4xsPAH8DAONAfe1REgAMAPVPo78JCrZZAPAvALCQHb8MAC6A+uqjbwNALQBcAkmBlpKSukHVAQDww+N34ak2hdhzDLkE3bbLapzm8Kb9Zy51wnMa0XQ8YfjQhXDTBFvC7e7zMQa8FIS1rzXKjO8+H4O7zsfijvN9DE4pyIowyQH82KnhBpcbT47AlhOZBpoUPMVDtTafTrUCsuj8hG6O3O2f97dAS81xvO3sIGv+c2cTzX4e2EVN2KUArIbj2dh0IgtrPrsXaz67F+uO342Vn441XfPZvVjx6Tis+HQclh8bj+XHxgeEYc0/MsOEYFHPPJRnLQnBhONpv87HMQcKTWfvLzIhV7Se8c4SzHhnCabvfchgl8YJyLxpbtqeYoPiIbuXY+LOlSb4KuXNUoPchJ1lOGDHKkx6Q23Hv16OCTvLMO61chywY5XZH/96OfZ7dTXGv16OvV+pMOFYUS9VYdRLVSYgK/yZOtU/0yFXW+q9oCvT9WqfxjEdY0KxnmzA7k80qPCqRxSCI3683kIuAdbq9aojG739ES0MuA0KthzBkfUtGFnfgj3XqX3UJgirloVd6QCsXmsUiGNWs7Ar3bErbRDHluk5peprLfos0/DVCCYQmxCsohbst4QhWDfBt/8Ce3vAgzoMK88LwrLCsObYGDbwZejl4ynTFWQp6GrwD+3gK8IvAZYjmMBrgZjmTtCt0Tt0fBMOG9do2gBYB2ENv6cBh49pNBhOz1RtMEyhWOl1NoaHVCsEsyAsHohFKM5KXIuj41crAMevxtFx5SrAqt8qD8QUNhVR7AVH8SWBksPYBTEtOYL9UOwGcBFo+dINweLn50FahFze3RYHBmPxAC0aJxRTuBUHox82ackARkFUBsJXA5dPOJIFYQpE8gNYkG2DdoIzwdc9Bw/sumt+IIaDtQt3QrAPfLNuu98L1NLzAtBMx3DoahBnfnO6CswKAmE3RMpCJSGY33f3/XGQug8W+D0iFNPPBQWl8YcMLsj97jPHtPuzwx9K8GvU9znr9lzrIcXIb0+9eQG8oM483GxPxy740u8BLgWANgD4A6igqzF6fAwAnAD1/b7/CgAfA0C+z/FrQf0e8X+AfA+wlJTUDS4BsABYACwAFgALgAXAAmABsAC4PQCWkpKS+qspAbAAWAAsABYAC4AFwAJgAXAIArj3gjrrK+6utXsLgKWkpEKoBMACYAGwAFgALAAWAAuABcChCOD5ddhvSUu7u/d8AbCUlFToVAcAwFMn78IvLtu4PXOpE55qU03rx9q64PG2zniqrZMBcdtlhV6CcKsepz7W1gUPXQjHDy6G4aEL4XjwQoTBMAVlHWiNNCAm6O46H2vCs3adj8VXz/XDV87Fm371XL8AaBKAqTkwCZkbT44wQVMEZR6QxTHLt7ecGWzwS0s+z+8YmuNeE+F8w8lR5lo2nByFTSeysO743Qa+HL98vPLTsVjx6Tgs+2QCln0yAUs/mWR6ycdTccnHUzHv8Cyc/cFszD+ci/mHcwNAzDFMIJ54cL4Jxhr37kK8Z/8iE3DlhlvR9si3l+LIt5eafRSONfLtpQbMI99eaqE49a0SKxgr6Q0VcDVgxyqDXVqPe02FXsX+osJs01i/V1djv1dXW+Nxr5WbcKyoF6uwx3M1BrZhTzZ4CN7iBV1ZY082eDB+uh67b9YAfrwRwx5pwvCNKgiLtwVbpw2Om/SYBm5UDQu3Yk3ojay3w6+ialowqlp1dBXrSicAq0xj1wVvKdvWgVgEZfqeR8KwQS/r+EKv+y9Q6OXrA+a1mPCrhLktpgc8yGCsAZw0yx+8SbPU2KCZHoBTpivEEmCHTFJgdZFrAq8o9GqSh2Iao9AsE3wVBMHD71bhV2nZCr7DxmkM3+ONp42uV53dgOmZ9XYw1og6HDXMC8PKTKnCrMS1HoA1iA2AB1aYMKzR8atxdL9VHkQ5SqkpgKpniY3KzoUKjF2LFAp40BTHpRuSRUv+Ohy3PJDLbQ5tCr7ioVluIJYfhgnEdB43HKtrkReG5QJSY4VDNyieCF083IrDpsMDNnxp3J1Hc91z8dekMRfeBCt+jB+AaYyFLVmvR+el98UwZmBKsGXAver7cUOi9GtSoBYB2Fry4CwOZo5jAjF/4ECvRa/rQl//mVp/lqzpzzug3cA09mdC57OCtQjN7DXN67o/I/w6vzvbeggw8rZpNyMOBcBSUlJSQUoALAAWAAuABcACYAGwAHoLqz8AACAASURBVFgAHIIA7jOvLuDv82vpPvMEwFJSUqFTAmABsABYACwAFgALgAXAAuBQBHBBnfr6unZ2nwIBsJSUVOiUAFgALAAWAAuABcACYAGwAFgALACWkpL6WlQHAMBzpzri7690xd9d6WL6t1c6m0CrcxrERy92xQ8uhlkwpuboJSTTOu0/3tYZj1zshsfauhgQE4B5E5QJum4Q1ivn4q2wqm1nB1lhVQRPCr9qOZFpwrA4iuuO322N8/kEVEI1n7Pp9FDzOvTaFMZFkPYD8KbTQ3HjyRHWOkdwy4lMA10KwuIIrvnsXoNfAm/ZJxOw/Nh4C8BFH03DwiM5mHd4FuYfzsWCD2daCKbx/MO5mPv+HBOClXNorkHw5IPzcOLB+Tj+vQU4/r0FOO7dhTjmQKEBLYGXB2NRyFXqWyU4bM8yE35FKKb5hGdaEoSTd60wQVcUdsVDrgi8BGIa7/vLNWad8NtreyVGPl+NEdtq7ZAr3QTg7psbsPumRuy+qVEFXm1u8GD8FAvBerwRw37ShGGPqjAsC8A6FIuHYFHQVdBgKx1oRbjloO21VoVbxaz2wq4s9FYFmV+uMbzaOz4AvDoAq3dpC/Yp0fgt8db7FquOK9KhV0XeOgfwgHleENaAeS04oKAFE/JbTOCVQXC+h2EC8sA5XjAWoZdATMFXFGY1eIrG7+T1VsDV0PEs/GoyA/Dk9VYTglMnBIcxjQ0d34RD72vEYWMbTehVWnaDCsKiMCy9TgimQCwejjVyRJ0XiEUQHlyNmSlVVlMQVlZ/hl8KwOpdZjo7dqVqCqwiVEYtV3DkSOy4QCGYh0hxGBOGOUAjij0gE0Q5fqOWq9eOLvW2Cbgc0y52qTm0+X6OYje0i66JX2fXokDsdFzgYYijRrcJouJhRywIyhezBEkKcuIYdsOx6FzBxjRWXeT6hm65uGPQd+Fv3hNHPWHVuXYeTmUFU/Fr4PfC5z1ar/GtmZjxjSmmM2+ZGtjfnG4DmEPYBS+9d79gMxZk5qI3KI55QJb7c+ED5tF35tsY5g8V6NroeviS/VyM+k7OzYhDD8AsxPBaWwAsJSUVStUBAPDiqc43FMC0vJEAJvzyT2dvBIApcfpGAZjj90YB2P1U+EYAmPB7IwFM+L2RACb8dt904wDMMXvDALzC+yT4RgE4AL83AMAufm8EgAm/9InvjQCwwW/i2hsHYMJv16IbB2C/5fUGML0/Svu9UQBmn4reKAAHAOt6A5h94nujAMzxe8MATPjl8L3eAGaftIcygPs+WGf9C55r7b4PCoClpKRCpwTAAmABsABYACwAFgALgAXAAmABsJSU1NeiBMACYAGwAFgALAAWAAuABcChCOD8OpXZ0M7umy8AlpKSCp0SAAuABcACYAGwAFgALAAWAIcggPvNrTN/V7en+80VAEtJSYVOdQAAbD3VCX93pQv+/kpX/MOVbhaGf3uls4XhDy6G4ZGL3fDIxW549GJXkwxN0OXbtP/MJQXgY21d8FhbF4NgappHwCYAUzI0gZeaAq84hHkIFiVDv/B5gkEoJTNz5FIyNEcoJUZTNxzPxpYTmWbZdCILHzs1HLecGYxbzgzGrWeSDYZ5+jNBnKdRu9htOpFlxqg5cgm91BWfjjPp0BWfjsOSo5MNgpd8PBWLj07Boo+mGQAXfTTNgHj+kRmmXQDPPJSH036db8GXUqGpCcCUDJ29vwiz9i02qdAcvylvlpqxtD3FJvWZ0Dzy7aUmMTrjnSUGwUlvrDQQphTo+NdVsnPvV7ywK8JuzMtrTcf+ogJ7ba/EXtsrMerFKuz5QrWVBN3juRrs8Wwt9ni21kJx2NZ1Xgr00zr0SoPYoPfh9Rj2qE6ApiYAb/QAHPGjZozYwJYtOv25vsVguGcdS3SuVUtCa+wqb522TbKzTnd2U6B7rbXBbABc4aE4dqUNYY7dPstU8nPfh1qw39IW7LtUgbfvUp8E6IU2euMXtmD/+aoHFKi0Z54EbbCr058DADxbNSE4eUYzJuesN81ToE1q8wSG10k6tGqc1344pmMpQZrmDb2vMSAJ+mqJ0IRhjl2DX3eMIJzGEDyk2loaCLMwLEqBNvB1k6B5AjRHJ0EzcpnCInXnQi8Qy22eskzdZZGHZZ4izdOi/VKe/fAbvtROhSbsUuoz308gdlOlI4ptAHdcoN4Tbx/4+gYeObjh6chZt+cGYNAPtlZqsQ966RgLojwd2kkkdsfoGl0Ac/Ra+NfJ2CYx2ue6fdOf3TRqPu7CnL+f2+43Sc+Zt0z1AEzJ0C6CKRGaIzhIWrT1+jy1mT/AYA8DfPffMdf+M6efF/rZoXvG06IJwBzNfoni7r1i92fU399/M+JQACwlJSUVpATAAmABsABYACwAFgALgAXAoQjgvDrz93R7ul+eAFhKSip0SgAsABYAC4AFwAJgAbAAWAAcggCOm1Onfk2lnR03RwAsJSUVOiUAFgALgAXAAmABsABYACwAFgALgKWkpL4W1QEA8NKpLga+tCT4/vZKZ/zicif87ZXO2Ha5owm88gPtkYvd8OCFCANkao5cwjEFYnFM05xTbZ0MgPe1RuHe1mjTu8/H4Kvn+pngKULn5tOpJgTrhc8TTDgVAZWah2QRiAm4hEsKn+JjtE1o5cFYFHL12Knh5ryE7i1nBpt9TSeysPLTsQHQpvPy8CsCMGGY8Fvz2b1Y9skE024gFoHX7cIjOQbAfL3gw5kGwTMP5WHu+3MMhv1CsMa/twDHHCjE7P1FmPHOEszat9gEXBF0U98qwSG7l5sxgvGQ3csNjjmMU98qMYCmOQTipDdWYsLOMhN2RRju/UoFRr1UpcD7UpWBMG1HPl9t45d15PPVBsQRP69VoVhP61CsJxpUb2rEsMeaMOynjSr46uH1gcFXui0Q034N4h7rdSBWo1rv0aTWKQQrutILq4op9zp2lcJq7EoPrmYOC7rqtYYFZVWyMQrBWqnanHelA+ESBeF+S3UvUdiNK1LrcYudMKzFgRAeME/hNyG/xeDXDcBKfMBGMAVgJc5WAVhJuR6EqQnBPOSK49ZC630avxq0w8apMKthY/VyXKN9zH2NgQBmmKZjho31zkGhWGnZCsEjRq7DESPXKehSp9d5IM6qxxEZ63BkWq3qdA3i4bUKwYNVZyZXYtbACi8Eq6/CLyF4dO8yhV8KwfLDKMGRw5TjOGyJjWIXBe4YB2bXIu/cLmh5YBa9totkv2sgCHNkd1vshXvx83cu9AK9aEnXyLfd98OxQ4FHHKMaMByrVmsYW4FSfii+SgfMp9f2CXzyw5xBIYcfAZiQ9/0Cc54A1BNynXOZECdCPQcevXYw6PsEW3EYZ31rpgKxBrAJxNLrvLNuzfHm0Dluux9Hd3jAA66zNNfvPFQI1tnfL/B+Dvx+TnioGg/CoocNFMBFr8//3PR13NQAfqBOPaBsZ8c9IACWkpIKnRIAC4AFwAJgAbAAWAAsABYAhyKAZ9fhgAdb2t1xswXAUlJSoVMCYAGwAFgALAAWAAuABcACYAGwAFhKSuprUQJgAbAAWAAsABYAC4AFwALgEARw/Kw69XdxOzt+lgBYSkoqdMo3BIvCr65c7oRXLnfCtssdsfWSwm/rpY6mz1zqhGcudcJzlzriuUsdDYIpKIuWFI5F+6k/uBhm5nAc01zaTxjmoVivnutnQrAIthR+xcd4INW2s4NMSBUFWBGCCaGEXQrIajiebUDMIcwRS8FWbqDVhpOjcOPJEWadzknHEWg5uAm8hFvCcPmx8Qa5ZZ9MMOuln0zCkqOTseToZCw+OsUAuPBIjoFu/uFcKwSLxgs+nIkFH87E+UdmYM6huTj7g9mYc2iuBeCJB+ebYCzCLwGYEExNoVYUbEUATt61wkCWcMsxTHOoE3aWYcLOMgPgpDdWYvzr5Ziws8yEY8W9Vm6CsKK3V2K0hm+0DsEi7BJww39Wh+HP1HnrrMO2rsOIbSocq/sTDRj2ZIMKxtKBWBSEZcKuCL8bmrFHc7NZ5zA26z9SYVgGxE3NGNnghWFFV3kAji3zwMqDq2ibENx7uUZsqQIsgdbMdTGtA7RiygPn9l7BgrA0guOKvNArAi5ht/8CNR6/UM2h7f7zGXjzbRCbEKw5dhN4k2Z5AE6eodoNxqIwLI7gofdpmGroDr2v0YwTiN2QrGHjFHoNmHVAFsHYnG+cjWHqtNEObkfUeRBOVwAeMXKdATKNEY4JyqOGKwiPGqbCsDJTqjAzSUO4b5kKwupbZodhRS1XCKYgLDcQy4UpH6M5HLqEW9p2Q6MIDH4A5UFZ7mu54VccwGFL1H5ap+AtupawJR6C6ZoJyRSG5fce6HqCIZ/AGAwyBEUKfPILbXJhqYOlXCQHC8QKGqJFAPWBWwDofNB81Tl+oU30enfM9cKxWPiUWad7QtdKDwt4iJUTchVwD/T944FZJjhLr1NboVi359r3gmPffTjg3IuAkDD+Z+/+fN81X/3s8Ic+DoKt5q/J7vGo7864GXGoAJxb5z2UbEfH5wqApaSkQqcEwAJgAbAAWAAsABYAC4AFwAJgAbCUlNTXogTAAmABsABYACwAFgALgAXAIQjg/vfXel9B147uf3/tzfgepaSkpK6pBMACYAGwAFgALAAWAAuABcChCOCZtQF/915L958pAJaSkgqd6gAAePTED/DcpY7YdtnuK5c98FIAFrUfiN2muRRw5eKY96EL4QFhWDTvQGskHrwQgYcuhOOB1kjcfT4Gd52PNQimQKzNp1Nx0+mhAc0RvPl0Kj52ajhuOj00ILSKMMwDrnhYFQ/G4iimsKqaz+41y5rP7jV4pt54coR1Ph6C1XIiE+uO321Bl8KvOHh5l34yCYuPTjFN8C36aJqBLq0XfDgT8w/nYv7hXMw7PMvAl6CcfzgXCz6ciXmHZ2Hu+3Nwyq8KcPx7C3DiwfkGw+PeXWgCsagJwtn7izBr32LMeGcJjnx7qQVjwnDyrhU4YMcqTNy5EpN3rTChV0lvrMQBO1YZ+A7Yscps0zrhOOXNUoPkvr9cg7G/qMC+v1yDvV+pwNhfVJgQrB7P1hrUhj+j8Bu2dZ1Zhm1dh2FPrzPhVzRmkPyMCsYyYVg/Yf1oE4ZvVOgl2EZs0NBt0Sj+kVpGNurtFrZfI5gATOFVMasVVDmG3SCsPiUKrBRe1WeZB+I+y7ymfX2LGYJXKjT3LrXP2bvUC8KKW+yFXw2Yp78DkpJAC9gYW0+Y6yzzPQz7AjhPgZcHXpntmV4ThlOmr8eUaetx8BSFYA5Wvk7gHT6mEYff3aD6Hr1kY2nZelzD2UKxBvPwexq81gFYw+9usACcnqkQnJ5Z74VhpbPWgVcmAEvjmCM4I7VGLSkMK3EtZvVfowKx4ld76wRhwjCBmNYJi4RPHlDFt3kTKAm/FDbkhwQOThcXHKKEVRfFBGAKvqJ5HK00Fr40EMm0Ts3PxxFMOCcQ07oDYSs8iWOKwqE4Ujs8YEOYgMZCrgyMHQC7KLRA6b6O3h8AdMKw3g6AoItXvnRRSA8AeIgUx7YT7hTwUIA/HGDwNffFLxzr9lzM/OZ0Bd2/mWzAaxD8N5PNOg/Nsu4v3VsX/hzAzv2yfn75z7GLYvrZoJ8VhmArEIvumxtodsdcHPW93JsRhwJgKSkpqSAlABYAC4AFwAJgAbAAWAAsAA5BAA+YUWtS+NvTA2YIgKWkpEKnBMACYAGwAFgALAAWAAuABcChCOCcWkyc3dzuHpAjAJaSkgqdEgALgAXAAmABsABYACwAFgALgAXAUlJSX4sSAAuABcACYAGwAFgALAAWAIcggBOm16qgwXZ2wnQBsJSUVOhUBwDAj07checu2cA91aaaUpyPt3U24zSXxlp1CvSZS53wC50aTQnSrZc6GtQevdgVD10IN5ilJbUfkI9e7GqAvK81Cve1RuGu87Gmd5zvYzBMCdAvfJ5gpUBvOj3UgHbjyRHYciITW05kGgQTiIM17ae058pPx2LZJxOw/Nh4LD823qQ0c7DSkuaUfTLBHEdJzxWfjjNgJizzfQRdSnguPjrFpD67CdAlRyebBGie+MwToAnAtE4p0PmHc81x+YdzTSJ07vtzTCo0JUJTEjRBmBKhs/YtNsuRby+1QJy2pxhT3yox2CXo8lTnvr9cg/Gvl+OAHavMkjdPhqZtSoPm54h5eS1GvViFkc9XGwQb9D5N8K334LvFA7CFY+ot9dh9s06D/mmjwS9PfCb0BvR6BeDIRoXeHk16u74Fo2p1EnStQnCvtQrAvdboXuuNEYh7r1DY7VPCILzMW6ck577Fel13n2UMvaU2rilJ2kqBXqyaUp4NeAtU2rPB8IPed0T6Ilnv50EqiQ+oTxOScjV6GXRN56wPxO8PvR4yWbeTCM0Tn3k6tEEsH6NtAjLBmC0NmvUybbSC7oiMdSYBOiAFeoSNXwJwsKWZN6wGM4ZUKwjrNOishDVqSQjutwpH9y4zbVKhe5aodYImR2f4Ug+8HJWETA5JN2mZI9hBlwEGT9blKCakUnO88tei1+uyyEuUpmvttthDCU+ddtHMk595ajWNE2pov5MIbXBJKb88MZltG+g5yccujAMQyBOg2dJKk+ZA5u0HPj1u/jxork+itHmP/M+Klh0X2GB0U6fvmBt4fQz4Bv7sfQZLw6YHASYV+pvTDXZ5OrSB8TenW+f0ex3r3PxeOe/JN92cJUVbD30Yjs05+Hz+8IQeXnwvD0f9/f03Iw4VgKfVmr9v29MJ0wTAUlJSoVMCYAGwAFgALAAWAAuABcACYAGwAFhKSuprUQJgAbAAWAAsABYAC4AFwALgEATwwKm11q+bXGsPnCoAlpKSCp0SAAuABcACYAGwAFgALAAWAIcigKfUWtkK19oDpwiApaSkQqesECzq1ksdDXp5KNXxts4GvedY2BUPzaKwrFZ2HhfNPOCK8EvrH1wMw4MXIiz07m2NNsvd52NM0zYBeMf5PgbCz51NxK1nknHrmWR87mwivvB5Am47O8iEYD1yKh1bTmTiI6fSTQAWgZewzHHMg7J42JWL1dJPJgV02ScTsPjoFCw5OtkEV9G6O49QS9slRydbqC36aBou+XiqOYbgW3x0igVgwi4Pv+JjFIDFA7LyDs/C/MO5OPuD2QbAhGAKwqIlYfie/YtwzIFCsxxzoNCEYxGG0/YUm055sxSH7F5uLQnC8a+XY/zr5QazvV+pwLjXys242/1eXY1xr6llv1dXW0FYkc9XY8TPvQAsE2zFoUsI5hjm609p/BKAKQyLlo+oZfjG9Rj2sEbxBo1fHXQVWd+ilqx7rlPwjapWQVg8DCu6UsE3urIFe1V4CI4pV2jl4Vc8DMvtfku97ruU4XipDWMTmqXHOIDjFrdg/EKFXt4BYVgFXggWD76iwCsTgJXnBWDxEKzknPWYMl2FXKVMXx+A3pRpNnrN+mQG4klNOGSSCsIiBBsI36NQm5bdgOlZ9Zg2ut4LwqKgLA3itOwGE2pl8Hy3d6wBb8Y6A12O2FHDawPG/QKxCMfUGakKwJnJlaqT9DKlyoDYRXB27EovCIsgTKjtWeJhmIKw3DAsQiYh0Q2jIqByOPGwJBdqBGMXxQRPjlgObWoKu6Lr4iB3Q644mqnd98Bfg4KO+PVwsNP1chDzMKg75gYCkMKxbrvfQzHvW3MCgrHcZQCCCd0uiHlgFg/GujPfHmfn4PD2hSDdA427gBAs/gCA/5nzUCwW/hXwXnmImB9i9TaHMd03CsLyva8+5zDn8gvB8ntYw8HLH4qw0CsrXMwveOuvJATrfxHAgwFgLwD8EQB+DwDvsX1xALAfAP4DAC4DQIXP8ZUAcAUA/h0A9gFAn+twD6SkpKR8SwAsABYAC4AFwAJgAbAAWAAcogAO+Fc219BfAuDBoNA7EwBuBYBvAECS3vcdAPgNANQAwN8BQF8AuAQAi9nxJQBwEQB66+PrQEH5tut8T6SkpKQAQAAsABYAC4AFwAJgAbAAWAAcmgD+YY36tZJ29sAf1lztPR4AgKYg1zELAP4/UCimKgKAs2z7PAAUsu2/BYDfAsCMa3zvUlJSUlctAbAAWAAsABYAC4AFwAJgAbAA+FoA/G0A+B8AaACA9wHgdwBwGAAm6v0tAPCGc8xgAPh/oD4d7gAAfwKAZGfOmwCw/vrcCikpKSm7OgAAtp7qhL+70gV/d6WLhVjehFYKpTpysRsea+uCx9q6GOC2XvLCr9oud7SCtTiCecgWoZqAfeRiNyvwavf5GDzQGmm2Cb2vnuuHr5yLt+C743wfA2IejvXquX4mGItCsTafTsUtZwZj04ksE4q18eQIg17ebiDWhpOj8JFT6bjh5CisO363BeHyY+Mt1FJAVfHRKVj00TQsPJKDhUdyDGSpiz6aZvYTdnkIFp9T9NE0cz46Dz/ebQIuoTYYiGlJ82YeysNpv87HKb8qMAjmgVgTD87Hce8uxHHvLsR79i/CrH2LDYIpACtr32ITkDXy7aU4bM8yTH2rBFPeLMWUN0tNKFbSGysxcedKs00QJuxSGBYfj3l5LUa9VIUxL6/F6O2VGPViFUa9WIU9nqtR2y+pdYJwQMDV0ywQiwKynmLw3dRoOuxRDd6H16sQrI3r1dijGsOPNhkAR7R4zUOxCMQWeqs89PIArOhKb39AIJYOsDLhV8VegBUht9/SFowrasF+SzwIxy1W23GLWzBuke4iFXZFy/7zHQAXKgTHL1SBWLROCKbxAQ+2GOBaQVezdGv0Js5m27O8EKyUaRrA07x2cZs6sckKvuIQ5gAeOr4JUyd460Pva7SCrgx+CbcaxITc9EwNXR12NWLkOm9spBd+xWGbkVpj2sUtD7wamV5nAJyRWqPCr1JrFHRTqjz8plSpQCwCcOJazEpYg6PjyhWE41d7CI5dqRAcs0KBmEOYB2ERggnCbjAVRyPHZ7fFHho5EDgOnVAgE8LEcMVDpwLCiAjABN+IYvt6ONJd3BKMCdkE47Al9nwOaBfFvP0wRO9XY856r36hT7fn2kFZhDYCH+HNLzyK8MkB6gdjfs85lv2Oo3UORB72RA8CePs97NCvFwy/1vvhD0ic8C/fcCt2voxvTFH41RjmHYBiPY/jmK7TF73BwrHckCz3gYgTQsbvY8b/ybtpAZw4ucZ7sNiOTpwcFMBdQAH2CwBIAPVJ7wQA+G8ASAGAJwDgWeeYGFAA7gwAXfXxvZw5zwHA49ftbkhJSUmxEgALgAXAAmABsABYACwAFgCHIoAn1Vh/r15rJ04KCmD6BLfOGd8FAOtAPgGWkpK6CUsALAAWAAuABcACYAGwAFgALAC2OiYtHzv2Go4dew3Hu3oOudp7PAvBAZwL1/Y7wP8E8jvAUlJSN6gEwAJgAbAAWAAsABYAC4AFwCEI4KQJNTh4yvp2d9KEq4ZgFYFKeo4HgL8BgHEA8F8AkAjqU94rAFANAN8ClQJ9EewU6GUAcAHUVx99GwBqQSVFSwq0lJTUDakOAIAXT3XG317pbBD8xWUPxL+90hm/uKxCrQi8hNQPLoaZkKyjF7vikYvdDGgJtQRbjl3aPtVmI5vGDl0IN9Dd2xptoXfH+T74yrl43P55fxN4RfDlaCYE8+ZYJhDzUCxCbcPxbAvGG06Owg0nR1nzKCRr48kRuOHkKNx4coSZX3f8bqz8dKzBcNknEyzouoFWhUdyAgKreFCVH5wp9IoCtei8HL3zj8zAvMOzAoKw8g7PwrzDs0zYFQ/BoiAsDmaC7+SD83DywXkmAIuW495daJa0TiDOeGeJFYiV+lYJDtuzDIftWYZDdi/H5F0rMHnXCkx6Y6VpDuCkN1b6hmP1fqUCY15ei722V2IvH+z2eLYWezxbixE/V222t6mmcKywp9d54VfUTzZg2OONqh+zgRv2SJMBcPg/quYIJiSbUKwf6UCsRtW0HlXNcLvGA26vNXpZoXuNF4LVq0IjeJVGcKlCMC0NiHmY1SKN3kUeYPsvUHjtv4D1/BZMyFeQJeTGL9QALvRwzM9BzRGckK+CsBIf0MC9XyGXAEz4HTRThV/RnOQcDd/p/vjlwCUIm0AsjWIOXtMUijVWB2IxCJsArLs9EKdlN+CIjHUKrQRd3S50OWBHDVMhVrROTWNmH8OwCcAaUq0CsDSAsxLXGghnDaxQ+KVl/zWY1V9DmAKx+upQrOhSBeCo5R50eQAWD8FyIcwDsTiGOUC7FgUGSblI4lBzArJ4m+NYyJIFWh5oxYOtaJ2HZ3HMuuMujOm8NE7Y8wvHYiiykM8x6aAuIPDKDXXi4KNtDjeGaQuQHKAugH0CtLK+NdM7Hwc1exBhPZT4MgiysKiAa3Lwb12PG5bG7x89THCONUu6Vwy6Gd+YEgBiC8cOqs37ZoFc5mfQD8buQw/nQY55aMAQPPqOuTjqjlk3L4DH15hAwfZ00virAhgAoBQA2gDgDwDwIQCMYfv6gkqK/k9QUF7tc/xaUL9H/B8g3wMsJSV1g0sALAAWAAuABcACYAGwAFgALABuD4ClpKSk/mpKACwAFgALgAXAAmABsABYAByCAB50X4396yLX2IPuEwBLSUmFTgmABcACYAGwAFgALAAWAAuAQxHA46oD/h69lh40rvpmfI9SUlJS11QdAADPneqIv7vSBX9/pSv+/kpX/MOVbviHK91MmNWVy50Mggm2Ry52M6FYx9q6WEsKyCIoE3Q5imkuNYVp8XMcuhCOB1ojLQATenm/ci7egu6u87G463ws7j4fY5rg+8q5eNPbP++PW88kGwQ/dmo4bj6diptOD8VHTqUb3HLUEpJ5EBaBmM9vOpGFDcezseF4NtZ8dq8JsnIRPP/IjAB8EjwJqLM/mG3Aypc0nwDthl656KXzUtN5Zh7Ks0Cc+/4czDs8y8yb9ut8zDk01wRi0ZLDd/x7C3D8ewsMkse/t8AEYvFgrLQ9QxVYFgAAIABJREFUxZi2p9ggOPWtEoNg6oSdZZiws8yEYiXvWoGJOxWMCcEE4Z4vVGPk89UGu+E/q8Pwn9V5IVd6SeA18N2qx35WZ4dibVEA7v6ECsEKe6zJQ+8/2vCN+LG3HqwjfqyDsX6sMBzxIxWOFVnfgj3rNIIrVLhVTDkLwlrj4JfWVzsQLrMx3LdYAZgHYRGEDXznqx7woNcJ+S0mwCphrhdolTCXzStQzcOw4hey881r8Y6dwwKvZqn1gXM8FFPwFYGXOjlnPSbP8EA8eArD8GS1boKuJjLwsu1hYxstBA8bp/A7bGyjwbAZ00vCb3pWPY7IWGeCqkxr6FrI1SDOTK7EjMHVqjl43WYBWe54xhB1vAFwkg7DStYIJvgSenuXqXXeceUehikYi2OYAq84emmdB1C5oVjUBEo3LIlDk4DAQcYRQs3B7OLYLxjLD738dYONE9w4bAnEFKzFg7H4+9KhXxaMOOj4e+BwJRBy6H5rpoc0tm7hzQnFMph0A7H4vWXBXFawlEa1C2MCccCDC/5nQDCmgCy6Byw0a/QdcwOwb12nExble9/8ttnPjN9DAQu4DMaZ35yOmbdMtYOx6P37AJ2vB+BWv39+H3iAm4Exu+5Rf3//zYhDAbCUlJRUkBIAfwUA13x27w0HMEfojQJwzqG5NxzA495deMMBHPVS1Y0H8OONNxzAMeU3HsDWJ783CsAP3ngA8096bxSAeVLzXzWAOX5vFIA5QG8UgK+G3+sFYPcT4RsEYBfD1x3AHIY3CsB0zA0EsJsyfSMAbPAb4gBOHlttkvPb08ljBcBSUlKhUwJgAbAAWAAsABYAC4AFwALgUATwmGpMndDU7k4eIwCWkpIKnRIAC4AFwAJgAbAAWAAsABYAC4AFwFJSUl+LEgALgAXAAmABsABYACwAFgCHIIBT7q32AgLb0Sn3CoClpKRCpzoAAP7mtELv7690NcnPhN/fXulskqC/0GOtlzriuUsdTXIzT3CmhOcjF7vhBxfD8NCFcDx0IRwPXojAQxfCLegSkl30UlI0bdPxB1ojTdLz3tbogJTnXedjDW554jNt03LX+ViDaZr/3NlEfO5sIm49k2zSnjeeHGGQ+9ip4QbCdcfvNustJzKtBGnCL0+RbjqRZaVCE4L9IJxzaC7OPJRnwEk981Ae5r4/B2ceysOZh/IsjBJqcw7NNQguPJJjUqDzD+dac+j8HNcUvjX7g9nmNVz08uZp0NQ8BXrMgUKzTWMcwOl7H8L0vQ9h6lslmPJmKSbvWoFDdi+3mtKhCb8DdqzC+NfLsd+rqzHutXKM/UUFRm+vxKgXVQI0pTxbCc9P13spz0+xtpKfGX636P08AfoRLwjLWvpAOGJDM0ZsaMYezbp16nNES7MHYJ0MHVXdgtGVXgp0dKVOha7wYEswpmVMeQv2XqG7VC1jV9rde7mdBt1viQdVQuyAeV7qMyU3D5yjAEyAHTin2aCY8EpA5scNKPCATJCm4zmAKRk6eYZCMKF38A81dKcoEA+e4mGXgq+GTFZzKQmaN/2Omkl8HufBlhDMscsBTOPDxjaaJGgKweIIzkitUUBNUtjNTKkyy8zkStMGr8mVgcBNddKhaR+dm86TUuV1UqVJgR4dv1ohN67cQ3DfMm+MIKz3Zces8Ob1LlOJ0LwJxYRfjkc3/ZmakpQpOMrFpcaElZgcrHkyL4cTT9/lKcUEXY7WYADmKHfTnTmK3XRp/j4JwDwNmnDEr5Pg6PO+3FRiC6q35ii83TLVxhubawGTr/MHCxyjdF4Ct89rm2PYtVvpx+6fm36dAAy6icksGCvg4YYPsi1E8vvoBGy5wVUBSdPsvVsPFPR9oERsC848JVo/ELAecvCfP54SzQHM5mb8wwM3Iw4VgO+pspPxr7FT7qm6Gd+jlJSU1DWVAFgALAAWAAuABcACYAGwAFgALACWkpL6WpQAWAAsABYAC4AFwAJgAbAAOAQBPPjuKuvvxWvtwXcLgKWkpK6t7geA9wDgXwDgnwHgbQAY4sx5CgD+LwD8EQD+XS/XOXPSAeAIAPwnAJwDgHnO/r8DgEf0a/wBAF4FgK5BrkkALAAWAAuABcACYAGwAFgAHIoAzq5Sf+e1swdnC4ClpKSureYDQCYA3A4AfwsAi0EBtzOb8xQAbL3KOboDwH+AQu8tADAcAP4NAO5jcx4BgKOg0PsdAHgaAD4Kcr4OAIAXT3U2AViEYFrnGP7icie8osOwWi91xLbLHQ2IKSyr7XJHE3hFgCW0HmiNxIMXInBfa5QZpzGCLkczgZcfQ3MJxNQcsy98noAvfJ5gkOvXhGEK1dp6Jhm3nknGbWcHmfUtZwbjljODcdPpofjYqeG44eQog9umE1lY89m9WPHpOKz8dKwJyWo4nm22CcGEZppffmy8WRKKi49OwaKPppkwKkLmlF8VmNAqAinBc9y7C3HiwfkGqRMPzrfCsygAa/6RGVagFiGY8OyGX/GwrZmH8nDKrwpwyq8KTLgV9cSD83HiwfnWfhqj4Kt79i8y6+PeXYjZ+4swa99izHhnCabtKcbUt0pMEFbKm6U4ZPdyTHmz1DQPxxqwYxXGvaYA3PeXazB6e6UBcNSLVRj1kuoez9WoUCuC7pMNav1pB8I0/mSD6i32WPdNGsGPNmHYwzZ0wx5WTQFXkY3N2GO9jV6rG1owsr4Fo2pVRzaqIKyoGgZfDWFrvUItY1bb8O1ToqDbu5T1cjXeb4kGcLEKw4pbrIKr4ha3YNyiFowv9AKxePgV76RcD69Jud42hVkRlgm2ibObDYAT5rbY55vt4TnxAS8Ey+ocDd1JTVbgVerEJhwySSN3QpM1HhCA5YZejfO2h41l4B0biN7hd3udnlWPI0fU4cg0JwBrsBNqxQGcVBkA4ayBFXagVZJCsQVg3YRdE3qlOzOJhWAl6CCs+NUGutmxK+3Qq+hSta7HKRSLQJwds0LNIwRTCBYPv6LQKQqKoqZ9PBiL7ydsskAhjs7Rd+YHwooHIX13dkAgVkA4Ew9movCiYAB2A7D8Qq78jnUfCHRZZEPYRZDb/D06cAtoQpkObDJgI6TxdjBthW5pCFrzHUy7sPYFKC07PBA4RgFlbnMYs0Ap34cFbrv7HAC7oVpfei/pPdMDAEIwW1pAdoHt3ts75gYEggWEh30vD0d9L/dmxKEAWEpK6qat34ON1y8D8BpQn/7yagGAt/T6raA+GR7D9t8J6lPlVJ/zCYAFwAJgAbAAWAAsABYAC4BDEMBDRleZv/va00NGC4ClpKSuTyWDgmk4G3sKAP4V1D9fPgsAPwGA77P9L+sxXtMB4Hd6PR4A/h8A3OXMOQ0AhT7XIAAWAAuABcACYAGwAFgALAAORQBnVnp/z7Wjh2RW3ozvUUpK6i9YTwHAn0DB808+/bbPMd0AoBUAKp3xAQDwA73eAwB2A8Cv2P49EPg7wdmgIA0AMFRfx63OnEMAUOZzHQJgAbAAWAAsABYAC4AFwAJgAbAAWEpK6s+u2wDgH67S33Xm9wSA8xAIWb8KA4Xonnr7yz4BjoNr+AS49VQnE3b1uytd8IvLnQyCf3eliwnGOqfh23rJwzAFZNHyim4KxCIEf3AxzOCW8Eqw3dsajbvPx+De1mjc2xodEHpF+6l3nY/FA62R+MHFMAPkva3RuOt8rBV8tf3z/gbFtL398/4WfF/4PAGfO5uI284OMiFYHMCbTg+1moKtePAVwbjms3ux8tOxFm4rPh2HFZ+OM/v4ePmx8db8sk8mYPHRKVh4JMcKnyJcEnIJlBQ+NfHgfBz37kKDTBojPPPjCdMzD+UZ9PKmsC0eljX54DwL2QRw/nqTD84zAJ58cJ51XdSEX+qMd5Zg+t6HTCjWsD3LMPWtEhOAlfJmKSbuXIkpb5Zi0hsrMemNlQbBfX+5BmNeXqsA/FKVQXDPF6pNIJYVgsUCsLo/0eChlzdh+PFG1T9txLCH16vQK1rqQCzaDt+oYBzRovG73gNvz3UKuz3rVEfVsObj1S0YXaU6qsZbj67yQrJiVquAqz4lKtyqzzLdJV73LVb7+i711gnCFIbVb4lCcP/5CsAD5mkMU4DVHC+sKilX4zVXoXXQ/QzDbB8hd+AcD7tJs/R8CsCazfbp41Omr8fkHK9pO2U6C8f64XpMndAU+LUc4z0cE5AJuwa94xwQj7VxPHyMAnBatofgtOwGTM+sx/TMehwx0gvDGple5wVWafxScBXBODOlSsGXur8Cqx+EsxLXGjjTeQya9Xyzrc9jwq6c0CsCrwFudKlCbuxKtU7j1LErDYyzY1YoBEcUe5D1w68fhjmIeTAWIYhhyBekLFjKD4smTIlCnjiaCWR0Tro+Aq0LZBe6bkhWsDE/YDthSRyAAWFOBCWGVQtdPqANCjiNNxPq5AZCcUA7+/y23YAtK6iKP5hgDxz8HkhYzR8w8EA0DmkNbitgyr1/bmCaPof1PigEzA0Io3G2nwM585vTMfOWqZjxjSn2Pb7awwLe7nu5Yy6OumPWzYhDBeCMSusB37X2kAwBsJSU1LVXHAD8Bvw/jfWr7qBAG6W31wDAh86cL/sd4O8DwH/DVX4HOG/W7ViQr/qFbXcKgAXAAmABsABYACwAFgALgIMAeOB3sjHs1j4Ydmtf7HZr75sRhx0AAFMzKjEtu6HdnSoAlpKSusYaAuorkIqC7L8VACaB95dLOAC8AQDvszmUAl0AAN8EgGEQGKT1MKjU526gPn1+GgKDs6jkE2ABsABYACwAFgALgAXAAuAQ/ARYACwlJfWXrrcB4H/A+45f+p7fFXr/twHgACgk/zuo3xF+FLzfCaYaDgq4/wnqn1IXOPv/DgA2gvpn0X8EgNcAoEuQaxIAC4AFwAJgAbAAWAAsABYAhyKAR63FtNH17e7UUWtvxvcoJSUldU3VAQDw+MkfmEArQi1hmC+vMOBS+NUXer3tckeDYB6MRRCmPtbWBY+1dTEwPtAaaeBLgCXk7jofi/taowyOaZwgTMftON/HYJlCsTiaCcUuerd/3t/gNxh6N59ODbr+2KnhAQgmILecyDQopqAr6rJPJmDZJxOw9JNJWPHpOCz7ZIIVhrXk46kmuIqCrwigFH7FQ6bGvbsQs/Ytxuz9RZi9v8jAlKOVEMrhTHClsKtpv843YKZ12qbz8GMJv3Ruvo8HX9EcQi8th+1ZhsP2LMO0PcXW0oUw4Tdx50pM2FmGca+VY+9XKjDm5bUY+4sK7MWDsF6swh7P1mL4M3UY/jPWz9QpED9lh2B1f0KFXfEOe6zJhFyFPdKE4f+oA7A2eh328HoMe1Tva1HBVz2amj0IN+ngK43hqFoG3UoPwVHVCrcxq1XgVXSVGouq1vtrvDmxqxSCY8t0r9SBWMts/MYt1uBdqjH8kAq+6qsRHLfYW8YVqX0D5rXggAdVgJWF4FkegHkwFmHWGs/1Aq2ScxRik3PW46CZHqApAGvQ/c04aGazBWAKwuL4pWCswT9cbwVdmcCrsfZXdRBsh45vUgAe32TgS/Pp2OFjGq3fcUsbXe8BOKseR2SsU2FYI+pUGBbrjNQaL8xKo5gwbDBLwVU8xCpIOBah2ARfcQxzAMevDkQwYZaHX9G2A2LaN7p3mRqLXKY6ohizw5eqdR6O1W2xt+yySDUFRPkB2Q2U+nOCqPTSIIaQq5dBMUII/n5BYBATNX/NYMFYLnAJ84Q4Og/tI7y774HDmHX29wuswCSOtmBAdcezbs+18GbQpnEcAGcepOWgMSD4ib8uB+PtuTaKXcj6jd+Z73tfrPvOH3xQUJZfOJYTNOV77zRy/eAaAGL2ICLrtvsx85vTMeMbUxSEb5mqWgdkmXsYJFTMfQiQ8f05NyMOOwAADh25FtOz6tvdQ0cKgKWkpEKnBMACYAGwAFgALAAWAAuABcACYAGwlJTU16IEwAJgAbAAWAAsABYAC4AFwKEI4BFrza91tKeHjhAAS0lJhU4JgAXAAmABsABYACwAFgALgEMQwMPSK3BExrp297D0ipvxPUpJSUldUwmABcACYAGwAFgALAAWAAuABcACYCkpqa9FmRRoQi61C1mOXlrn8zmSWy91xHOXOuKZ/7+9M4+vqjr3/lPbilpLaycVhBDmhEAgDCGMmQEHZBYDhFnmMBMIQwiEQAhEW6tVqVZRrFVRwAkRELBYBEFmkBnbe3t77/ve+95O9973vbfP+8faz9rPWucEJSE2xN/v83k+e++1117n7JXhnO8+53zPb836md/eyed/a2BY1+HLd/Hhy3dZm/Oei00ssG69EOfYnAVWXz6XxJvOJzogLNC87UJLO45ealO09N90PpE3nO1kofaJ0z0sCD9xukeFJX01CEvJvkdPpfEjpzK4/GQWl57ozYuO9uO5hwfxjE8e4LxDQ3nqwRzOOzSUZ3zygG2be3iQ7SM16eAwHn8gl8cfyLVAnPvRGAvCPoyKabnvB1OskVlgVAzMd++exvfumerAqMCuLMUILfAroOybprVtWuzQsn737mnce3eevb27d0/ju3dPs6CevWu6NUB3fW+uU122zeOu783lzu/mc/LW+RaCBX7jXi/k5huLOO51A8HNXl3GzV5dZo3QTX61nGNfXBEJvwLAz60y6+tDS3TDnxsYjnmijGN+VsYxjxsIjn3YQK2th9c6MGwBWfYFANxk9VpuWlJubNAlyvi8wgBw86JybrE0tDy3WBpZ0qfFUgPGYoNuuchU/PwAguermhcA8SwXhB3onWYqcWpYbSeZEgBuP2YtJ40zZuikceUhDGvozVWG6OGmOj+4hlOGBPA6JITgzkPNdpdBplIGr7GwLH2Sh621BmgNwV0GrbHG5679yyzcavDtcXdocu7RpzTcvrvUwq8Dzn294zwLtPPkL32lA8HWBC2l7NBZyUXW7iyQ65ih2xe6UBwseyUutnDr2KNlmRQAtPQVg7M2O8cXWDN0r4QCA77N810QbjnfgG/zfAO6Teea7aZzQ/htMsfAcOzsSNuzAG/MDNNHQ7AYlAWUxcp8+6RIuNQwpCFJIDaoXreNc4FYgOem4RFGaAecBJA8k3CEqVjfp2jgLvdVHxMAmwN2+pwEhgWQ5DyuBHka7nyzsd5WQOZsC5xpMNZGaB/k1LgWFDUgKqB0gLgCy7Vz4UHmR36O/gUI/wKIN8cyt848+YZqD2j1eUS1RHuQLMdoAM68YQhnfm0QZ35tUAjEHhRnffNBZz5l3mqyBbp7j0JOS19Z5ereAwCMIEjtCQAYAAwABgADgAHAAGAAMAC4FgJwj+5L7DtZqlI9ui+pieeIIAhSqQCAAcAAYAAwABgADAAGAAOAAcAAYARBvhIBAAOAAcAAYAAwABgADAAGANdGAO62hNNTS6pcPboBgBEEqT2pS0R8+tTtFnhFcqUh+LPfGaDVUKtBWMuz9FJAWJZSpz+708qwRIi1/3IMH7zcgPdeio2QV2kAfulsB15/JtlZ33C2E2+70JK3nG9tj910PtGC8Y6LzR2Zlsi2RICloVbEVuUns6zc6ulPu/KzZ1IiQPjpT7taeda6T7vxo6fSIsZ54nQPLjp2Hxcfv4cLj/W1MDz78BAHhicdHGZr7IGRtm3Cx8N50sFhPPVgjgVigdPcj8bwqP2jLBjn7BvnQKeWUenK3jWd03fO5NQdsywUa3mVBlst0pL2aOIrH4p1u8CwQHfm+zM4dccsC8CpO2Zx+s6ZjgSr87v5DgALBCe+uYgTNi/huNcLOWHzEgvATX613JaIsGJfXBEdhJ8NIHh9sB5IsTQAi+hKgDa23ICvALBUo5+sccBXQFhEWCLDEgBuvsyrIgW1IsNaYrZbFAYAvCTsawF5SdjfkWLNL+dWc00lzDZw22Z6sJwWAnDilKCmmqUAcOIUI8NqNyGoh8q5/dgQfkWQ1X6sqY65RohlYfbBEHI17HYZZGRWXQaWcdcBpmz7oBCYBXojRFhBn279guP7m2W3fmUWaLv3NUDbs7cpC8P3BuDbryys+8P+FoSD/qnZqywEp6cFTwB7rjDSq67FnN5zhdm+EgynLHflVn5pmBWhVeJiV3ilRVeylNIyKwFcqWbzLBRrQLbgK8AbOzuUX8XMCKFWy7BEklWRGEvgV0BZZFm+EKsiWZYWUQn8ViSXElDU4OfLjmS/lkfp/d8eFQlgWoQl90+DehRA0wKnCPGWhnkFhI70KZpUSp+jhmJ9AUDO3RdZBTIsB9w8gLPwe9PwiDly5i+4gOCIpUT+JPIxdVFB338tuNLn7/xc9QWPaD+DOyaHc+EJtqJCcLSLBxqOvT5RhVkyfwK6wdwJIGd+bZAFZUeOFYyTfsvQmgiHBoC7Lrb/s6pSPbouronniCAIUqkAgAHAAGAAMAAYAAwABgADgAHAAGAEQb4SAQADgAHAAGAAMAAYAAwABgDXQgDu2WVxxNe4VaZ6dgEAIwhSewIABgADgAHAAGAAMAAYAAwAro0AnLKIM7oXV7l6piyqieeIIAhSqdQlIr58up4jtNLCKx96z/z2Tj7xWT0rtpKlgK6AsbR/9jvTR8RXRz+rz4cv38UnPqvngO/+yzG8/3IM770Ua+VVArMCtwLCG8+1jYDgTecTecv51hZuN51PtLKsty60sjC96Xwiv3S2A28819b2ERB+6WwHK7N67HSqBeBHT6U524+cyoiAZpFiPXY6lR87nWrbRYb1yKkMLjnRhxcd7cf5RwbaKjjS367nHRpqYTb3ozE89sBIR4Q14ePhPPbASNtn7IGRPOHj4Tz+QC6PPTCScz8a48CnAGjv3Xm20nfO5K7vzeWe22dbEM18f4bdn71ruhVVCUxrkVXv3XkWpO/ePc2Cr176wC3HZL4/g9N3zuTu2+dY2ZUAb8/ts60QS7a7b59j4Tfp7QJOeruAE99cZOVXAsItX1tqBVgahhu/VGzqlysMEG9Y4YLw+kCM9dwqjnmmlGOeCURYT602IPx4WQi9ngTL1sNGeNVkdQjAjdco+BUZ1qpybrrSSLC02ErLsCzgerKrlovCtrgFIejGLTDgq+FZtuMKQghOmKlkWNNC8G07OahJ5dxuYgi97ceu5aTxqu0hU1qKJSDcMTcQYwUCLC2xEmgVmBVg7drfAGiXgWURciqRXcm6bGtwlnFEbiXwK9sWaEWQ1ac0qvCqx92l3P0+Bc9B3569VrkirPSVnN5zBWd2We48IXTAt8tyzuq8zEqwMlOWGwiWto6mXcOvBd3WCw0IJ7gSK1uyHV9g4bZXfIE9tnfcghB2NfQK6Dad6+6X9mbzQqitCGibzQuryRzTv8mcSIjWx2ro1RApcCmAWX+aCz8+GAXCKQ2YFjp/NNERIFnRkRZCiQRKt0WBvd4/mBDeXw3oGsoE1DTU+ev6vvrA58OfhmCBRSWPipBNeVBswVWvB3AsAGfhLQA3DXYRoiyZG+82/QsJdv70HApcylyKwEydl38hwM5PRYIs3d+/KCDz4QvFgv0R99GD4Aiw9y6mOFB80/AIIHaEWIF0LP3GwTURDr8sAC4kov8moj8S0Z+C5Qa1/29E9FdvfytvjCIi+odg/64o+xEEQa5pAMAAYAAwABgADAAGAAOAAcC1EIBTkxeF70ypQqUmXxGA91zhfvyNiNKusH8uEV0mongiqkNEJUT0OyK6pbInjiAI8nkBAAOAAcAAYAAwABgADAAGANdGAO60MOJ/VWUqtdPCqgBw+hX2XyCiqWr760T0z0Q07OpPGUEQ5IsFAAwABgADgAHAAGAAMAAYAAwAriwA/4mI/kBEF8m8/bmR2v83IvpHIvoXIvqYiMZ59/FvRJTsjfkuEa25NtOAIAgSmbpExCdO/cgRWMm6iKwuBuIqAWGRXokcS/af+KyehWPZPvPbOx1Y1gKsvZdiee+lWN53qZGtPReb2HaRV+262Ix3XGzuiLEEeAViBWDXn0nmpz/tagVVG8+15S3nW9vSAL3xXFt7nNSzZ1J4w9lOvP5MMj97JoWfPZNi4faRUxlcdjKbHzmVYaFXgFeEV4+eSrOQXH4yy1bZyWwuO5nNJSf6cPHxe7j4+D1cdOw+K8YSABagHb5vLA/9zXjO2TfOVu5HY3job8ZHhV8B4Jx943j4vrE85MMJnLNvnCOt6r07z4qnBDCjialESiWiLAHTLtvmWWitSHqlgVdAOvP9GZy9a7q9D5nvz7C33/ndfO6ybV6E9Era5LY7vrOAk94usOKrlq8t5bjXC7nFxiIDv68Y+G2+sYibvrzcgeBoMqxGzysx1noDwQ78/qyMYx4r45ifGtFVo0cD4dUjax34jS0PYHdNCLxNVq/lpivLI8C32fJIAVaLpUp+tVTBsQJjgeG4BeUcn69qfgjD8flmXQRY8fnBcp6B4NYzDAAnzCznhFkBDOcFQDw1BNz2Y9da4G03MRRiaehNGlfOHUaH61qS1TE3BGFHgjXQhVcroQog1UqqAvAVMJX9sq0hWGRYWm7V497VRoB172q3+pRGlMiypFKzDPimZq9yRVipJZzRY4UjvxIBlsBuVudl0WE4kGCJEMvCsMixAhGWI8RKCAVXFnCb54dQ2zzflWAJ8DbPD2FYjhGRlYBr07muCEv2+YIrgcGYGaEoSwuxNGRLu5TArcCuhmpZimRKA3K9qQZ8okGxiLA0oEkJ5HiCKA3BDrREAzktqRKw1QKsKPcnAno1wAciJwuCAnlaqKXH9IFfwXBUMNZA6Eu/BII9SMv65oMWiLXwSQA4GtQ68+Tdpp53K8fSwC5ArOfKO08HYvX864sN/rY/DwF869u1S30+/gUTLVOTinZhQAPyTcMdwZhcXEj7+oCaC8AdF9oLclWp1I4VAnA8ETUI1u8koheI6ByFb2FOI/PW5m8QUR8i+lcimhDsu4sMALfwxnyJiJ66dlOBIAjiBgAMAAYAA4ABwABgADAAGABcCwEcU+g9AAAgAElEQVQ4rUOB+X9UxUrrUPBFz/FGIvoPIsqsYH8hEf1a3Ue8AowgyJceADAAGAAMAAYAA4ABwABgADAA2Kl2LUdwwztSuOEdKXzX7Z2uBoD/SkRZFexfQkR71Xa0zwD/gfAZYARBqjEAYAAwABgADAAGAAOAAcAA4NoIwO0XWDdBVSqt/YKKznEwEX0/WL+diNaTgdpvEVE7Ikoiom+SAdtsIvrfRDRFHT+HiC6R+eqjm4loBRH9lmCBRhCkGlOXiPijE3dYSZWA7unP7nTEVrIuQCsyrBOf1bPHiPRKpFgahjX4HrzcgA9fvssRYO271MiKsASGfSGWQPCW860dQdaOi81547m2/PK5JAuvAq0CwgLFz55JcQBZ+grQSvu6T7vZ42S54WynCBnWo6fSLOQ+djrVAnD5ySwuPdGbS0/0tgIsgd6SE30s/BYe68tFx+7j4uP3cP6RgTz38CDOOzTUgVqB2aG/Gc9DPpzAQ38znofvG8uj9o+y7QLGIsgavm+sBWLZP/Q343nQ3ok8aO9EC8MioRL5lAiofEjt8PYC7vjOAk7eOp87v5tv5Vki0BL5lZZmCVyn7phl5VrZu6Y7wit9uwLZyVvnc4e3DfAKCEtbh7cXcJs3FnGbNxZx6y2LueVrS7nZK8u46cvLudkrBoClWgRgLDKs2BcDEVYAvzHrV4ZCrOdWccwvVnHDdQEACwg/VmYAWNejazjmpwaCG68NBFgBBAsANyn14LfYQG+LpQqEi7zlsrCPlV4VlHPcQgPA8fPDsqA7z4XiVnPLudUcBcgFLgzL/oTZBoKtDGuSkWMljQ8kWONc+VWHUWu5/ZjI6jB6rdk3NpRiJQ9TQqwH13ByjqmUwQaIRYTVdUAIwlpGpeFYt8u6I87qFwK1hmV7rCotwOrZu5TTMldyavYqA8x9zHZ6Wgmnp5ZEQrACXwvCWoQlwislwspKLrJgnNV5mYHe9oVuCfgmhFKrXm0WuevxBa68SkBXoFdEVwKmASQ7IiyBUy2z0kAqS1+GpYVYUgLFAsPRRFnRxFrRxpJ2HzKvII9yAEhDYrDtCJwUAOulAzeBTMpCkwfaVoIV3AcHkqOVd58dcZe6vw7sCxhrGZYey4c/Lc7SQKcFTgH42lLQ6wudnLnwxnOg0RdRCYB6oikLnFry5Z+/Phfv5xsx1xqko/1uVADTEZCs76+eM1+CpaFX1uvkOBcT5OJC1jcf5NSv9a+5AJy0ILwAV4VKS6oQgDeTecX2z2TAdQMRNQ723UtEJ8lIsv6ViD4hovFR7utSIvp9MMYuwvcAIwhSzflSANh/5bc6AHjT+cRqB+BoNuhrDcB5h4ZWOwCLzbk6AViM0tUJwPGbCqsdgCPg9zoF4Pj86gdgeQX4egdgC7/XOwD7r/RerwCsX10FAAOAAcBfNF8WACMIglx3AQADgAHAAGAAMAAYAAwABgDXQgBObzfffNyiipXebn5NPEcEQZBKBQAMAAYAA4ABwABgADAAGABcGwG47fzI/zuVqPS2AGAEQWpPAMAAYAAwABgADAAGAAOAAcAAYAAwgiBfidQlIv7wxJ0WPg9ebsBHP6vPJz6rxwcvN7CQ+9nvDNxejAK5Jz6rZ48R+7NA8YnP6vG+S4346Gf1+fDluyzo7r0Ua29P7M8Cv3suNrElFmipbRda8tYLcdYQveNic95xsTlvvRBnrdBidN5wthNvONvJgd0nTvfgJ073iABigV9tdxaYffRUmgXi9WeSecPZTtYO/djpVC4/mWX7lp3Mttbn4uP3cOmJ3o7xWYBXoLf4+D3WBD378BCe8ckDPOOTB3jSwWE84ePh1vQ8/kAuj9o/ykLx8H1jre15wN5J3PeDKQ70amu0ALNYpcUKfe+eqRZyBUjFxqzBU9uZdZvAaud38+0YMk76zpmOYbrn9tkWmv3b828jeet8C9tJbxdwh7cXcLu3FnLim4s48c1FnLB5Cbd5Y5G1QUsJ+DZ7NQRi3witzdC+BTrmF6u44dOlHPNMUE+tNhboRwPo1VZobYZ+OADgsigAXGLgV0Nvy8UGcFsUKuuzgl8xQLdYGtifFwZVYEzPcQVhaSi2EBwAbvy80AItsGxN0gFECwi3mW6M0O0mGuuzGKA16IrpucNoA7ztx5htuz83qJFrudMIU8nDQiBOGWIgOGXwGgu5ArKyLgZoC6v3hus9e5dyz14BsAYga/vpbTE/311qx/KNzwK9PfqEY6alr+S0dGN9tpXmldonJmgNwRaGlR1a26DlyaS2QFsIFgu0wG/rhSHQSgnU+uCr7cwaRmWfgLAsxewcDVK1mfmuvEiYbTA9NEdri3Ts7Ejg1vuazIm8TbE/ixX6SvCrQEgDsGP9lTYpBTxiR/ZhMLtOjgvC2g4tYKeB77ZxLqgqoIuAVt8a/aOJri3ZNx/fMdnMhW+gvn2SA9LOxYAo1uYIeAsMxz64aSDWxugIm7ZYomU+9EUCbYfWFxFk7qNZmmXdB2CBWX3st0e5Fx18g7Z3YcCOLT9D3w4dlAO8ygwebd6cdfl9URcM0m9+oCbCoQHgxHzOTlpS5UpPzK+J54ggCFKpAIABwABgADAAGAAMAAYAA4BrIwC3zrf/Z6pS6a0BwAiC1J4AgAHAAGAAMAAYAAwABgADgAHAAGAEQb4SAQADgAHAAGAAMAAYAAwABgDXQgDOSJgX/n+pQmUkzKuJ54ggCFKpWAmWht6jn9V3ZFT7L8fY/VpsVVFpCPblVwK4Iq/aeymW916K5V0Xm/Gei02s/Epud8/FJnb/tgst+a0LrSzwCgDLPlluOp/IW8635rcutHKA+OVzSVZoJTKrspPZtspPZvEjpzL4sdOpTj1yKoPXfdqNN5ztZMFa4FnLtgSey09mWelV4bG+XHKij4XcgiP9edHRfhaEC4/15YIj/Xnu4UE89/Agzjs0lGd88gDnHxnI+UcG8uzDQ3jqwRyeejDHwvDYAyN50sFhPOngMM79aIwVZfX79WQe8uEEHvLhBB60dyIP2DuJB+ydZMFXlgLNAs737pnKfT+Ywuk7Z1oxlsBtl23zLIAKhAqgSrvAqpZXJb1dYPd12TbPjt1z+2zu/G6+I7wSAJZxOr4T3p4WYAn8tthYZOVXzV414itZt/XKMgO7v1zhAHDsiytsCQA3esGIsBo+XcoNfx7UutUGgB8vM+D7eFm4/lMPfteu5diH13LsI2s59sdrOLbcCLEal63lJqtcCZaG2xZLTMUtDNaXuvtaLgpqsemjIdfKrwL41WBsJVlKdpUwy21LmG3aEmaWc+sZwXKmEWG1naxAWCqQYbUfa+C3w+iwBIAt8Oas4eRhAQQPDyE4OWcNdx4aQnCXQWu46wAjw3LkV3d7YBsArYXWoK1n71Irq0rLXMmpWatcgVX2qugAHACvf7yMkd5zhYFckV0F8quM7sUGeLsWc0b3YivE8vdZGA5A2AqwBID1UuC39UIjwgrA1wJw3ALuHbfAiLBazg9LJFcaagV8BYq1rEpLqwROpWJmRAKwQKmWY+nyx9OQK6UBXUoDsR5XYFtuW4RQvlxKiZQqlB5pANPSo7qjXRAU6NOAI5Cj2nwZlA9MDhRHAXhHgqWhV8OsPta/KCAwLOAXTQjmA6kSUdn760OvFoLdNNyFQD0PHhBbsFSAGlUk9v3xYR/5WfhyLQ2n0eRV/lJfMPAvMPgXTuRCiQ/jGqz1uldRhVhKrGbn7JYRNRuAW80NL6xVoTJaza2J54ggCFKpAIABwABgADAAGAAMAAYAA4ABwABgBEG+EgEAA4ABwABgADAAGAAMAAYA10YAjp8T8X+lMpURP6cmniOCIEilAgAGAAOAAcAAYAAwABgADACujQAcN9v8b6liZcTNronniCAIUqnUJSL+9fF6fPjyXVaEJbAqkiotxxI4Pnz5Lrvv8OW7+Ohn9aNC8MHLDSzkSmnhlUCuQLEAr7TJui/DEmAWANbSrG0XWlpY3niuLW8819YC8MZzbXnD2U786Kk0Lj+ZZYVVukRcVXqit+0jMiwRYq37tJsVaj17JsWCtUCxlmIVHOnP+UcGOksBYGmb8ckDPPVgDucdGspTD+bw7MNDLBjP+OQBK8iafXiIXZ96MIfHHhjJo/aPsoA7YO8k7vfrydzv15Mt2Mq2bhuwd5IDwvfumcrZu6bbEnlV9q7p3GXbPAd4RUYloOuLqlpvWWzbBIRFriWw2/W9uY4ES8uvkt4u4DZvLLIQLGO0eWMRx28q5ITNSzh+U6GBYA27LxXbbRFitQikWM03FoUQvGGFBd9Gz4cV89wqjnmmNAThdas55mcKfB8rc7Yb/WRNCL0/DmG48ZpAgrVaibFKQyGWFmBZ+A2AV5ZxC0LgtfKrBeWO9MqRYi1wBVgivkqYZQDX1ky32kwPK3FKObfJC9dFhCUQnDTeQHC7hwIgDra1+Co5Zw13Gh5FgjU0En67DCzjLgPLLAR3GWTaLQjfu9qKqrSsqmevVdyzVwC5Wd4ygNn0tBJOS19pjvPg17bJujdWWuZKC8ACv1Z0pSFXya+yOi+zUBwBwB2LIsE3+G7NiLcainTGA2CnNORKCfwKIFckohL5VezsED5FTKUh+K48A2ACYbq0BMu/HRlP35bejnY/Gs00Y9afFgmOWg6loC8C/KKt+zClxUgevDkArGFHA08FUOgAZ1BW5qTuh91WkO6cpwfLWvpl58WXY90x2Z0PLdjyzlvOxYFfX/Tkw71cONDzEKWP01+XD7Ai6tIAqudPfn6+gCw4N0cmJnPqtTvzpqRpui1iniqSdGkYjiYWEwC+ZWhNhEMAMIIgSAUBAAOAAcAAYAAwABgADAAGANdGAG4xm3vFF1S5MloAgBEEqT0BAAOAAcAAYAAwABgADAAGANdCAM5sPiv6/5GrrMzms2riOSIIglQqAGAAMAAYAAwABgADgAHAAGAAMAAYQZCvROoSEe883sACqYioZPvg5QZ84rN6ERIrDZ17L8VGiLLkOD2uLoFUGUtA9q0LrazQSrdHA15ZF5mWtG29EMdvXWjFW8635k3nEy0Ey/pLZztYaZUWXT1yKoNLT/TmkhN9rMSq+Pg9dvvRU2n2GAHcR05lWEAWCdYTp3tYYC47mW3H0cA79/AgC7ICs1MP5th1gd1ofbUcS6RY4w/kcs6+cQ4MD/3NeCvD6vvBFO69O497787ju3dP47t3T3NAuO8HU/ju3dO49+48zt413S7Td87knttnc/ftcyzEaslVmzcMDLd5Y5EF04TNSzjxzUV2v8CsSKzkGGlr99ZCC8tapKXhV8A67vVCjnvdwK8GYJFgNX6p2EqvHDFWAMlNX17uCLJiX1zBMetXRsLv06Vme91qjnlCSbCUDKvRowZ8LQg/vNYIsMqCEhhevZablpRz05WhDEsAuOViV3bVcpELtBaCF0SuCxTLMb78KmGmWW81JxJ8W88MYHeaqbaTDfQmTinnxKneckoUOdZDISC3H2tEWB1zAwGWrmFrufODBn7tcugaThkSwPAQA70pgwMgHrSGu/UzUiypbv3KbFtq9ioLwA64Zq3itPSVFn4FgP1tWaZmheIskWHJeOlpJY4ES1dG9+JQeNXFgG9WcpEtB5K7FrsQ3HZJWEnhusCvXu+VELz1UC+D9d5xCwzkCgwL+GohlgZTEWIJ6OpqMD2ET5FeaQlTNAiuSI4lQKuhW/rI7ehtPYbs80VYWmqkl1Fg0gGZiiDYBzYBYT2GAJ8vzNL1zQcrBGYLfhXdD31bWujky5yiCa5uG+cCshZj3T4pcg58MZYIrvR9Vtta/mTnSvevk+NCsIbnaIAs4ip98UGW0WRlwbo93vv5yJxEnRv/4oKaJ+dChECwFnT5x2lpWdAvqhArqBoNwM1mugK9SlZms5k18RwRBEEqFQAwABgADAAGAAOAAcAAYABwbQTgJjNCa3wVKrPJjJp4jgiCIJUKABgADAAGAAOAAcAAYAAwABgADABGEOQrEQAwABgADAAGAAOAAcAAYABwbQTgxtPD/xNVqMzG02viOSIIglQqAGAAMAAYAAwABgADgAHAAOBaCcB5kdK8SlRm47yaeI4IgiCVSl0i4neOxlqQFPjUgCmmZ7FE77vUyJa2L8txAtDa9KyNz9FMznLb/n4B2bcutLJ9NBTvvRTL+y41soZpAWCB303nE3nL+dYWgl8+l8Qvne3AG8524qc/7cpPf9qVN5ztZM3Oj51O5SdO97CAK5ZogWDfGF12MpvLT2ZZ6NVm6eLj9ziWabFLFx+/hwuP9eXCY30tzOYdGsqTDg7jCR8PtzZoKekjACxmaA3Ao/aP4vEHcu0y96MxnLNvHA/5cAIP+XCCXe/7wRS+d89U7r07z1nvvTuPM9+fYdtlO3XHLO6+fQ533z6He26fzT23z7YG5+St86NCavymQo7fVGhhVaBYSqDY7xf3eiG33rKYEzYv4ZavLXWM09LWfGORNUBHA+DmG4u42SvLuOnLyzn2xRUO6OploxeMBTr2xRUcu2GFgd2fl3LMU6s55hcGhh0A/llQT6029Xhggf6xgV+7rkzQjdeGBmgpAeDmy4L1IgPDFnwXBqA7zzU+x88LoHaWAVoNx7JMmB3A7yyz3npGaHjWFmgNxW2mGxBOnFrObScZyG07KYDcAHDbTjLreqkBOWlcObcfs5bbj13LHUYZI3THkZFALPCrbdDWAD3Qra79Qzt0t35mu3vf1dbgLOCblrnSmJsD2BUY9kHXgnCqKgFbaQ9AWY7XIJzRY0UIvkFZGO4SQG7nZSHwBpXdYalb7QvZMUG3L3TAuFfi4hCCWy90DdGtFxoAFjFNs3nm7YkCwGJs1fsFgJvMiQRUAU4Nnbq0DVrWfZD14bbRzBC85TY1JN+VFy7ldiqCcYFguS/afhzAnwbJCOAU8NNw5dufBfQ0oGlo/O5YA7t1clwQlvVgn2OGjgJIEaDlgWoEBCto823S/rnaOYly0UBDvT53bayOMDdLH21A9gFf5lDOu06OW8FcRFik6+SYdn8ulCnagqaMpX9GFcyhY3fW56zP059DgV19kUXG0L83+rajmK4BwAiCINdfAMAAYAAwABgADAAGAAOAAcC1EYBjp7l/k5WszNhpNfEcEQRBKhUAMAAYAAwABgADgAHAAGAAcG0E4Jip0b+H+yorM2ZqTTxHBEGQSgUADAAGAAOAAcAAYAAwABgADAAGACMI8pWIA8ACl3q59UKcFV2JFMsHX9kW6PVhWeB6x8XmVoAl0ipZyu2/daGVLV+GJeKsHRebO2CsBVgapt+60MrCsECvlIiwZFtgWCRWT5zu4Ww/djrVirGKjt1nAbbgSH8uPNaXi47dxyUn+liJliyLjt1nRVrFx+/h0hO9ufxklh1HxFhSMz55wEKwyLA0JOcdGmoBecLHwy30jto/isceGMmTDg6zQCxtuR+NsUA8aO9E7vvBFO77wRTO3jWdM9+fYSt950xO3THLQm6XbfO4y7Z53PGdBdxl2zwHhLtvn2P7CBB32TbPCqwEZAV+BXqlZF/c64XcYmMRt3xtqZVbibgq7vXCiGOkT/ONRQZ2X10WCq9eWeYAsciwpFzpVSC+ejao9StNPbsq3PdMaSjAejIA4SdXGxB+3EiwBHwtAGsJVlkowWpSWs5NVpUbGVaJEmEtCeRXi8P1uIWhCKvVXAO/reaGgqtWcwPwzQ/BN2FmULM82ZUCX7suYBwIsBKnhiIsB4Af8mpCOSeNV9uBEKvtZLMUGVaH0SEEy3qnEWs5eVhYIr8SAVbK4HC7y8AyK75yQPh+I8XqcW9Qd5ea6lMagm56KL1yZFZRwDejhyu2km19bFr6SncMgWENxCnLLfwKAAvkZnUsCqFXADdxsYHfDktD8VXQHgHAiYvDZdDmwK6U/soSEWEJIAvwajmVD6UCt/WnRQKVBuC78lyobTInEmB90Zb0j50drkeTXmnAldsXENZQXH+aC3cVAbCGYA2AAkYCch4Ya1mUBp/sW0aEMCwQ7ANwIM2ysKehOJowS0meIuRWwTlGBeBoMOdLsQKgs2MGcicNm87FgWhwrubP3t+KoFiAUIGuI8qSuRHhlv45iJjMh2BfquXBeUUSq6i/Gx7UViQS86VZzvHexRG5/YzvjKiJcGgAuOFk83dXxcpsOLkmniOCIEilAgAGAAOAAcAAYAAwABgADACujQDcYFLk32QlKrPBpJp4jgiCIJUKABgADAAGAAOAAcAAYAAwABgADABGEOQrEQAwABgADAAGAAOAAcAAYABwbQTg+hPdz+lXsjLrT6yJ54ggCFKp1CUifv1IM95yvrUFSlkKPIp0SmRTGlh3XGzOey/F8v7LMRaSZV2gVMbceiHOHiPtGnY1AEvfrRfirMxKj6NhV5fAstx3EWC9dLaDLRFibTjbidefSeb1Z5L52TMp/OyZFF5/Jpmf/rQrP3smJQKIfSFW4bG+vOhoPwvAAsaLjvbj/CMDueBIfwvBAsuLjvZzgFe3y7EzPnnAwq7IryYdHGZLIHjSwWFWeDVq/yie8PFwHntgJA/fN9YCb86+cRaAcz8aY6VY/X492cKwiLDSd87kzPdncNf35nLnd/M5eet87vjOAiu76vjOAu74zgIrwxIYTt0xi1N3zLJirI7vLLACq6S3C6zESsOulIbfFgHQNntlGTd+qdjKrHywlW0BYenX9GUXdhu/VOyUCK8avVDCMc+tNCKs50sM+D5TauD3F0EF6w3XrTbQKwAs4BvAb6OfhOtWgBVUbHkgwypzAbhZcTk3W24EWCLBarE0AOFFoQgrrsBUfL6C4EBgFT8/hGIBXykffkWClaDbA2BuM92IrNpOUkKsKQHUTnShN2m8gdykce6y3cRQmCXgnDSu3O4XMVanESEIpwxR4BtNgNU/2B4UirK6DjDt3fqVcff7VnP3+xQIKzlWz16rjBgr04PXNAW/gbxKZFZWbBXArZZdaemVD8LpPVeYcQIIrlCEpeDXQrCAcdIStwSKWy/kXgkFoQyr9UK3Lb6AeyUUuOIrDcQiwWo2L4RiLcDyYVXaKoJRLcWqPy083gdqH6592ZZ+Yi3jye1oIZEGFC3EEiCXNk8aFSGK0uAioOVDlA/HQUXAnYZWLYkKpE0CxVaWpUDZgrEuBcQR56yXArIeDNt2r1+EZCs4zpkrLXkS+ZcGRy3a+tHEz5dmiewqmDMBYTlvOweBHMvOm5rj7G/luhcdNCh7ABshMfPus/N74INr0O5cHLh9kjO/ERcQfjTRvS/qtjJuG1kT4dAAcL0J7gWsSlZmvQk18RwRBEEqFQAwABgADAAGAAOAAcAAYAAwABgAjCDIVyIAYAAwABgADAAGAAOAAcAA4NoIwHdOCP9mq1CZdwKAEQSpPQEAA4ABwABgADAAGAAMAAYA10YAvuOh6N/zfZWVecdDNfEcEQRBKhULwAKMGkQFPAVEZSl9BVYFPLWwSmBYRFcCpTKmwOmW86150/lEO74WZmkxlu4vty1jaeCVvrLvpbMd+OVzSfzyuSQHgmWfBmAtyRIQXvdpN7t87HSqXZafzOKSE3247GQ2l57obZfFx++xYCtwW3CkvwVi2Sdiq/wjA3nu4UEWdKVv/pGBFqwLj/XluYcHWTAWQdakg8M496MxFnhH7R/FOfvG8dDfjHdKQFjDr5QA8N27p3H2runce3ce996dx5nvz4iQXbV7a6EF4aS3Czh563zuvn2OI87q/G6+hWeB4cQ3F3G7txZy6y2LOe71Qo7fZMoC7KuutMoHV19i1eiFEm70QgnHvrjCgG4Au01+ZSC48UvFtq/sj31xBTd6PgReux7Irhr+vJQbrlttK+apAHqfUgD8VFBPlDngawVYjxjojS1fy7EPrzVtP17DjdeGIqxmxeXcbIVZNl8WVJEnxFrkVtxCI8SKn6fAd064FODVgCtgmzglkF1ND0VZGoItAE9W0CsgOzEcw4FiD3Dt+hgjwdJtfrUfs5Y7DQ9kWDlrODlnDXceasqKsQaWudArEqx+RoQVrbrfZ0C4Z29VvVY50istv8rsGgKwrS7LwzYBWgHZjkXudrLZzuwSCLD08QLAHcNjszssdYA3QnrlLwV6tSBLQ7BejzcQLEDcK77AAHDTuSH0+usiw/LFVFo2paFXlwCoALC0CwzLmI1mVgy7Mr6+LYFfKYFiDSmy1ECt4VnLuwQYfYGRFilpwZOGYdnnAZ8vsoroGxzvi7KyvvEAZ94wxK5Hg2AH8rTUSkGrA7KB1MppiyZy8gAw2nhR5VcC2NHG8+HZnyuZBw23gUTMuRAgois1r/48O4D7Re6DD+/6dyBavygCMOd37Qo/B7kvGd/NrYlw+GUBcCER/TcR/ZGI/hQsN6j9bYhoNxH9mYh+F/T3U0RE/xAcv4uIWl27aUAQBIkMABgADAAGAAOAAcAAYAAwALg2AvCPxrnv5qhkZf5o3JUAeE8F9+FWIvpHIiomohuJKIGIfktE01WfuUR0mYjiiagOEZWQAeVbrtE8IAiCRAQADAAGAAOAAcAAYAAwABgAXBsB+IdjI/+2KlGZPxxbGQAeSUT/REQ3qLY8Ijqrti8Q0VS1/XUi+mciGlaFc0cQBLliAMAAYAAwABgADAAGAAOAAcAA4MoC8J+I6A9EdJHM258bBfvKiegdr38KEf0PmVeH6xLR34go2evzLhGtuTbTgCAIEpm6RMTvHDWAquFXw+TGc20dqNxyvjW/fC7JtvvyrLcutOJdF5vxnotNLAT7IKtva+O5tvzyuSTedqGlM4YvyNIALvs0TAs4y/6XzyU5MCuQKxCsoXj9mWS7Ln3kOC3FevrTrlaK9eipNC47mc3lJ7P40VNp/MipDCvJKjuZzWUnsy3MzvjkgQiAnXt4EOcdGmoBeO7hQTz38CALykXH7uOSE324+Pg9FqZlPAHiCX9nklcAACAASURBVB8P51H7R/HwfWMd+B2wd5It2R7y4QQetHeiFWBJm/Tr9+vJfPfuaXzvnqmcumOWlVz13D6b03fO5J7bZ3Pnd/MtCCe9XcAd3l5gQTfp7QLbLsIs6SMg3OaNRZz45iK7nrB5CcdvKgxB+NVlFoI1DFth1XMBvAYQHPPcSluNni9xxxD43bAiAnwtAIv46plSbvh0qV1a+dXjZRzzMyO/svXTNWb5mFlv9BMDv1Z+9UgAwAEMNy5TALyinJuuDCRYy0IRlgXhQIbVYokC4AUGfOPnBUKs/GB7vlm38qsZCmzzAvCdptbzyjlxqinbHkivEqcawBUhlgiwtNhKRFhJ48qt+Kr9WAO8Ar8ivOowai13GK3aR5s2AWSRYgkEJ+es4eRha7nzgyEQdxlkKmWwEWF1u381d+vnwnD3vkqGde9q7tGn1FbP3qWcmrXKVlrmSivGsuKrAFgFePW6A7sKaLM7LHUEV1nJRe44yUURIiwrwwokV1IOyArYJoQg67QnLnb3+UAcbPduOT8UX4kgS4uwBFBFXuWDsICrQKYvsRIBlkCvgLMWacmYWrYl/XzJln6iLVAXDYZ9IZSGZC3IktvwxrCw40OUliNpmJKlL3zyQUrJnyzAfSvXET9FE2JpKBYxlFMeVEeVVWkRlsydkmVFBVx9zlFg0QFp/TOScaPNYUVg6smuol08sO3BfFlJloZgf971+cic6AsIvvRKhGZyv3zhV0VzJECs51f/Pga/Z5k/GFNzAfgHY1zBWiXrCucYT0QNgvU7iegFMq/w3kJEPyeiX3r9W5IB4HpEdBcZAG7h9XmJiJ66RvOAIAgSkS8FgKO9knutAVheia5OABYIrk4A1obo6xmAO7+bX+0ArOG32gD4Z7UEgPOqH4AFcq93ABabc3UCcK/ExdUPwM3zqx+ABXCrE4CjQNj1CMD2FeDqBGANqtUFwNFeiQUA11wA/t5o590Cla3M743+oud4IxH9BxFlEl4BRhCkhgYADAAGAAOAAcAAYAAwABgADAB2qn3duznmptYcc1Nrblin1dUA8F+JKIuIcqlynwH+A+EzwAiCVGMAwABgADAAGAAMAAYAA4ABwLUQgDNuGxn+fKpQV/iu48FE9P1g/XYiWk8Gar9F5lXefyCi5UR0ExkL9GVyLdBziOgSma8+upmIVpAxRcMCjSBItQUADAAGAAOAAcAAYAAwABgAXBsB+Lu57rlVsq4g+tpM5hXbP5MB1w1E1FjtTyBjif4Lma9EWhzlvi4lot8HY+wifA8wgiDVnLpExLuP1+f9l2P44OUGfPByAwutuy42cwBXm5c1KMpy47m2dr8GV2179mF50/lEe5xAdTSwln4axn0jtcC6vo8CugLC688k23VtfJZtgWK5Lb1fm6HFBi0lAFx+MssxRBcfv4eLjt3Hi47249mHh3DeoaGcd2goTzo4jCcdHMbjD+TypIPDeMLHw3nqwRwLygLLeYeGWlu0NkcXHOlvAXrSwWE8av8ozv1ojIXgfr+ebMFWYHfQ3onc94Mpzj4Nv/fumWqr9+48zt413ZqhNQAL8Eq1e2sht3ljkS2B27jXCzlh8xILzALHein9xAzdfGORgeFXloXA+kIAr4H4ygHgZ1eZem6l7R+7wVifYzeYEgu0NkiLAbrhzw30WhO0bFdgf475WRk3enSNhV8LxAEIixk69uEAiNeYarJa1apybloSQLAC4BZLXRN0/HwDv1ICvnELyzmuIIDf2YHdWZazzNIC8PTACj0tLIFga3eeZCC3zbQQhjX0OusBBAv4tp0cQPH4cgu5Uh1HhjDcMTcsAWIHmnNNXwvCAQR3fjAwRT+4JgRfZYPu3teAryx73B3Cr1RqtoFfB4bTV3Ja+kpOTyuJMEM75mZtb25f6LRZqPXaZTurowfCHUMIFgC2EBxU77gFodFZg7FUYIQWiBYLtJigLfC2nG/HcSBYbNAaiJvMcWHYB2CxN2vAlG3dRxuftR1a26W1DVpKLMMaRAKoigphysQbIevRcKKPrTfV7A/s0BHAEw2KAzhzrNE+JFUAyhqGHYO0guLsOjmhFbpOToQN2TEiizVZA/a3cp1X6KLNR4QJWgOiD9f6/MQqLXPngXXEuHL7sj+YD//CgGPNjmLXtutRLijY++qPIT8/H4zVOUcd7wrAG2GQDs7VuQCj7NBfcQBGEAS57gIABgADgAHAAGAAMAAYAAwAro0A/J0R7qvjlayM74yoieeIIAhSqQCAAcAAYAAwABgADAAGAAOAayMAf3uYO3eVrIxvD6uJ54ggCFKpAIABwABgADAAGAAMAAYAA4ABwABgBEG+EqlLRLzzuIHefZca8f7LMbz3UizvvRTL+y41cgRUAppbL8RZyBRo1UIpgVTdT4BS94kGzhq2BWgFVDVwyzFbL8Q5gi09jois1p9JttD69KddecPZTg7ISvvTn3Z14FfgWQBaC7WkBIQfOZVhIVhKJFkCwoXH+nLhsb5WYjX38CArxJp6MMcRZPkQrAVakw4Os+0TPh7O4w/k8tgDI3nCx8N57IGRPPbASAvEw/eNtaIrgdy+H0yxICwwrNsFfjPfn8HZu6Zz6o5ZnPn+DE7dMYuTt87nLtvmcdf35nLX9+Zyl23zrOxKoDbxzUXc8rWlDti23rI4An4T31zESW8XWHBO2LyE414v5JavLeXmG4s49kUFryKyek6Ad1UIv+tXOgBspFiB3EqXtD8X9hcBloXgdasNCK8LwbfhutXh9s+M/KrRTwLQ/bGqRwIB1o+9fUF7k9WBEGuVJ8Fa5kmwRH5VYKrlohB64wqUFCvfiLFazQlFWLZmmrLwG0WCJRDcdlIovmo7OQRiB4AnhG0agLUEK2lclP1jAhDONdIrWbdgHMiwpM2p3HCfQHCXgWXcZWAkBGsA7tlrlQO/qVmrnKXAsJVipZVweqoB4fSeKxyJlRVXtS+0AisHiNsuCfe39Za6j6wnLQlhWSBWy6ziA8mVbIv0KsGAbAQIJ6kxlCDLwrAPwbqa5xv4FQiW9aZzXaFVNBiuPy1cFzmWhluBYxFe6dLCKi2x0gClodSrCAGWwG40QBOIjtZfrTvw6wuxtJRK+si2hjF1nBU7eTBrx1QCqF7fHhUCrgfIVgwlsPzNB0NQvmm4K+byQbgiAVYFkih7PrpdxtM/PyUrk3Gcn10AoxHw68+bJ8qKNjfOHIoQywNr51gNs+q+RB1X/0x8GZoWe/kXR/RcByBcowH41pxIwVolKuPWnJp4jgiCIJUKABgADAAGAAOAAcAAYAAwALgWAnD6LUMj5qsylX7L0Jp4jgiCIJUKABgADAAGAAOAAcAAYAAwABgADABGEOQrEQAwABgADAAGAAOAAcAAYABwbQTgmx8I57EKlX7zAzXxHBEEQSoVC8D7L8fw/ssxVoC152IT3nWxmQPG0rbjYnPeeiHOgVRdGno1GAtMaqnU+jPJdr8vy5IxfCgVCH32TIq9LQ2+WrBVEbQ+eybFuX09poZdX5i14WwnfvZMCj97JsWBaA2/j55Ks2IskWKJDEsguPBYXy46dh8XHOlvBVdzDw+yQiyRZEkJ+GpxloBv7kdj7DEapMcfyOXcj8Y4INzv15MdABbh1b17plrplVTqjlncc/tsznx/Bnd9by533z6HU3fMsu09t8/mru/N5eSt87nD2ws4eet8K8hq88Yibr1lMbfestiB4YTNSzhh8xK7LtKsxDdN/4TNS7jla0s5flMhN3tlGTd7dRk3e2UZN/nVcm7yq+Ucu2GFAdf1gQBLA+xzIRg3fLo03CegHIiurNRKxFZB/4ZPB+D7ZAC6T5Q5IKxFWDGPGxCOecxIsWJ/bMRXseVrjQArkF81XhtW7MMGgpuWuNDrrBcZEZbIsCz4CvTOUzKsAgXAs0PoteAbCLBaq7bWMzwB1uQAfBUAt3uo3MJrh9EGZJPGldulXtcQ3GG0J7caHQnJHUaHYNtpxFpOHuaWAG+nEWu50/Cgbbgrx0oZbKrLIAPEWo6lRVjRZFhagpWeVmIAOLUkrACGM7sWc1bnZUZcJeCqoVZg2C+1T4uuHNhtsygEZ3+fAK4GWi3B0tsiz5L1QIYV0S8+BOMIGNZCrGbzQihuNNOUBmEtuoqZEe7T0KshV+BYg7DApw+kgaTKiocUXNjyJU96DA22SpbllPTRYixPruWItrQoygckDZC+SMqHZg/0bAXSp151R4eiKwW9FoLr5HDWNx7gzBuGcNY3HjAlICwwrOVOGuiuJHqKdg4KHiPmW8+ZnjtfUKYvEuj7oi9s6LnU91ukVlH2a3CNVlHB2IN7f/6jgbdzUcGfq+D30peA1dCvCDIAXGeIc4GlspVeZ0hNPEcEQZBKBQAMAAYAA4ABwABgADAAGAAMAAYAIwjylQgAGAAMAAYAA4ABwABgADAAuDYC8I2D7e9RVSr9xsE18RwRBEEqFQAwABgADAAGAAOAAcAAYABwLQTgtG8Msr9PVam0bwyqieeIIMh1kL5EdISI/jWoj4looNfnu0S0gYj+LejzPBF9x+sziIhOEdFfiOgEEfWvxBgSC8ACtyK/2nsp1gFgadOgvOdiE95xsbmVUAkQy3LL+dZRgVeDo5ZPCYgKhIpgS+BZ1gVCNZzKfg3NWoKlQVxu+4nTPRwR1rpPu1nRlkC3vk96PC3WEhGWQK+s+zKskhN9uPj4PXYpAKzLl11p0B1/IJeH7xvLw/eNdSRXQ38znnM/GsOj9o/iUftHWRGWrlH7R3HOvnE85MMJPOTDCdz3gykWfrN3Ted790y10qveu/Ms4HbfPoe7bJtnq/v2ObYEhAWOBYY7v5vvyK5avrbUQrBU/KZCR3jVYmORhd1mry7j+E2F9rgWG4u4+cYibvKr5ZFSrPWh8MpC7M8D0NUiLCW5sjAroKsAVwBYQNkKsJ5cbaBXA/DjZY4Uy5dfNV4bSK9Ky7lJaXkIxGVruenKcm5aUh7CcCDAalEYlILglouNCCs+31TcghCIW81VEqyZBnZlu/VMVQEQt5mmarqB4baTA8HVRLNMGl/O7ccYYI0KsIGkKgJwx7rwK31EeNVhdLAcFUqukoeFcCvrnYYb0LX14JpQhiX9c9ZwyhAXhLsMWuPAcM/eRojVo49ZpmaHEqy0dE+A5QFwes8VnNG9mDO7BtVlOWemBNVlOWd1XhYKrjTEipwqSpvAqJVZtVlk+9r90h5tXUGshlsRXfnrTj/V1wKwXm+eb0pAOHZ2WE3mmKUAsQ/FAsa+5EoLs3xg0n21iCoaAGuo1QImLbjyYc2HNi1v8mHXB2C5Pxp8ogmW9FL6CEBp+NNSLQ1bvkRLgVf2t3ItEGd980ELvQLA9pU5AWAtirpCaZBzQFTfD29/hRcfpE2EZt4FkAjBlieOshItX8LlX2zwAdmbuwg5lpoPfUHCXmS4abjZJ+Po2/ZvS5cHwvp3IOO2kTURDgHACILUiNwZlKQ7Ef2ViFqrtreIaBsR3UZE3yOi94hok9qfTET/QUT9iOgbRDQgGCPpKsbQiQDg8uduBwBfJQBP/3krAPBVAnDDwmEA4KsE4IaDHwIAXyUAt24/BgB8FQDcvt5gAPBVAnD7W3sDgK8SgNt/5x4AcPXHAPDXB4TvHKhCpX19QE08RwRBrrN8jYi6kYHXAUFbQyL6GxElqH5tgra7gu1niGijN9ZrRLQuWI/5AmPoRADwA2PrAoCvEoAzR9UDAF8lAH+vb2cA8FUC8Pc69AQAXyUA14/pBgC+CgCO+W4HAPBVAnBMnQQA8FUCcMzNbQDA1Z+6RMSpX+vPmTcMqXKlfq1/TTxHBEGuk9Ql89bk/yIDpbuJqE6wry+ZV3f9/CcR3RusHyKifG//AjJvpyYiuv8LjOHfHwAwABgADAAGAAOAAcAAYAAwABgAjCDIF8ovyMDs/wRLv3ZGOeZGMp/dzSfzajAR0XAi+n2Uvv9ERDnB+jkimuDtn0hEZ65iDJ26RMRv7KvP7xyN5beONuYBI77NO4415G3HYvito415x7GGtrYdi+GdxxvwzuMNeMexhvzO0VjecrQJv36kGb9ypCW/cqQlv3Q43i5fOhzPz36SyE8eau/UTw8m808OduafHOzMPz2YzD89mMzPHGrHzxxqx08eas8/O9SR1x1qz89+ksjPf9KanznUzllfp/o8eai90/fFwwm2n4z3ZLBf2uS2H/64i12XWneove0n48h90uM9eai9PSZ12B285uNuvObjbrz6QHe7vupAT151oCevPtCdl+9P5yUfZfKifdl2ueA3vXn23nudmvTBAJ6wZyA/tHswj909hMfuHsIj3x/KI95/kEe+P5SH7BjBQ3aM4JydOTx0x3AesmMED9w+kofuGM45O3M4Z2cOj3j/wYjK2ZnDg3fkcv/3RnP/90Zzn63judc7D3Hm2xM4/a2J3Oudhzj1zUmc/tZEznx7AnfdPJW7bp7KKZuncafXp9tK2TzNVrctU7jr5qmcvCmPUzZP4+RNedx+40zu8NoMbvPKHE58dTa3eWUON3thPjd7YT433xDWbX06cvMNpr3J8wu46fMLuPH6Am78XAE3Xl/ALV6cb49r+vwCbvL8Ao79xUJu9PRijvn5Yo5Zt5gbPrWEGzxZyA2eWMoNHl/Kd/20yNSjpqS9weNLucFjRdzgsSK+6yfLuMGPg3pkGTcoXx5u/3iZ2f/IMnN8sC1tDdYu5wYPLzfHrA2qfDk3WLOcG5YWc0xpsV3GlBZzoxUruNHyFRxbVMKxRSXcqHiFbWtcWMKNl5hqUlDCTRaUcNP5qvJNNZsX1NwSvq1dV24xo4SbzzLVYmYJt8wr4ZbTSjhuSgnHTS7h+MnhdvxkVZNKuNXEEm41QdXEEk54qIRbjyvhNqNLuM0Ys0wcWcJth68wNULV8BXcbtgKTnrQVLth3n7VR/rZZU7QnmMq6cEVnDR0BbcfsoLbDy42S7XeYWBxWIOKuf0DXv/BxdyxfzF37FfMne4v5k59l3On+4s5+b7l3PkeU10zi7heg87cJbOIu2Ys5W7pprqnFnL3HoXcPbWQe3Rfwj26qZLtrou5Z8oiTk0OqtNCTu0YVKeFnNahgNPbzuf01vm2MhLm2YrWlhE/hzNazObM5rPMequ5tq/dL+3R1uNmc0aLoKRNxgva9brTT/XNbD6LM5vNdNebzODMJjO44XfacWbj6ZwZMzWs2Glm2XAyZzaYZKr+RFP1JpiqP5Ez73jI1I/GmWW9CZx5Z1DS/sOx4X7d9sOxnHHbSM64bSRnfm+0Wf5gjKlgv13/3uiwj+z73uiwvy59W34/PaZ/Wz8cyxnfzQ3r28PM8jsjzPK2kXbZoE5c2OfWHLe+MyIsafv2MFPfGREeI/uD9vRbhnJ6nSGcfuNgTvvGIE77+oBw+fUBnH7jYFN1hnD6zQ+YumVouF5B2fMJ5tqek74f3v7MH4yJnF89l3c8FP6M1c/VOffvjAh/vj8Yww1vamV+hnL7UjIvuv3WHE6/Zag7f+o+y7lLPz0ftr/0qzPE1C1Dw3H0bfu3pUv/Puj5u20k9/zugzURDusSEXejuzmV7q9ydaO7a+I5Igjyd8wtZD5rW1F9+wrHvkVEU4L1vmTeEu3nP4nonmD9814BvtIY0V4Brk/mHxoKhUKhUCgUqvJVn2pObiLzgsi1PL/fB+MiCIJUKduI6CfBekMyryL7n9/9Hwr/qT5DRK96Y2yk8DPAVxoj2meAvxaMXReFQqFQKBQKVamqT+E7+mpKbqJre46AXwRBrjojiKgZEd1A5p/IRCL6f0TUW/V5g4i2EtH3iegHRPQuEb2u9ieTeYX3fjIW6P5kvg4p6SrGQBAEQRAEQRAEQZBqzVIiukBEfyKifyGivWS+01fnu0T0AhH9HzKyrPVkrrrpDCTzPcB/JaKTZL4S6WrHQBAEQRAEQRAEQRAEQRAEQRAEQRAEQf4eeYCI9hDRv5P5LO8Nat9NRPQyGQv0/xDRsijHFxLRfxPRH8m8+vxHItrg9RlGREeD2/gtET1MRN9U+28kosfIvHL970S0hSI/U5xKRAfJvCX7PJm3eOt8kTGuRao6X0REKUS0g8xc/RsR/drb34bMV1j9mYh+R2aO/RQR0T+QmfNdRNSqGsa4VqnuOetE5uf9ezLvTDhCRKOijDGFiC6SmZOPiai7t78Bmbf4/5GI/pmIHiXzUYCrGeNa5cv4PZO0J6L/G9yezvX0d0n05czZjURUQkSXyPwOXCRjx9fB36ab2vT/n6jqc3aczFxJ/YXMNzrcr/rgMcDN581ZbXwMQBAEQaoxWWQenEZT5ANTHSKaTkQ9iehDqhiA/SfOOq2DceXt2A3IvLW6WPV5jIgOk3nCcisRPUfGSC1pSObBZiKZB6MeZB7k7r+KMa5VqjpfKWSeJA4P+t9ARB3V/luJ6B/JzM+NZIRjvw3GlcwlostEFB+MUULmCc4t13CMa5nqnrM+RJRL5jPpRObJ8r+TsZZLBgdjdCPzOzSZzJM+EcB9jcyT9F8Q0bfI/J4eIfNk/YuOcS1T3XOmxzpKRpjn/x1fT3+XRF/OnG0h4z2IDbZ/QMa9IMHfpjtnte3/P1HV58zPNDKwdWOwjceAz48/Z7XxMQBBEAT5EtKTIh+YdN6nygFwPyL6315bGZmvaCIyD35/IfdrlL5P5hWprsH2EjJX/3XKiei9qxjjWqey87WHzPlXlJFkvldZj5tHRGfV9gUimqq2v07mycCwazhGdaS65ixaXif3ictOIlrr9TlERAvVffsvIrpN7e9L5smNvFr1eWNUR6p7ztaQ+Vvy/46v179Louqbswwy5/ODK/TB36ab2vr/n6jyc+bnBBn4lOAx4PPjz1m01JbHAARBEKQaUxUA/hMR/YHM24I2EFEjtf9mItpHRDnB2E2I6DQRjQn2twlu93Zv3E8pfHB+jYh+5u1/kIj+V7Ce+AXGuNapzHzdTObt4qVE9BGZ+3+AiAaoPuVE9I53XEpwW7eSEY79jYyxW+ddMjBzrcaojlTXnPmpS+bVjxGq7V/JvAKh8ySFX/uVR0b+pnMnmXmSr/36vDGqI9U5Z93JnPNNFAnA1+vfJVH1zdlKMm/FXEPm9+syma+O+36wH3+bkXNWW///E10bmEsn820NMaoNjwFXTrQ581ObHgMQBEGQakxlH5jiybxViMg8WLxAROfIfRvVeDIPHP83uI1fUPh9dt2CtjreuPuIqCBY307myadO72C8LzrGtU5l5qs+mQfT35P5aqkbyHzV1H9R+ETk50T0S++4lsFt1SPzFr+/EVELr89LRPTUNRyjOlJdc6bzTTJP/LZ7t/PfRNTL67uKzFt/iYgWEdFvvP03Bbfd5QuOUR2prjn7FplXg+QVMh+Ar9e/S6Lqm7N1QZ8fk/nd+CGZn/3bwX78bUb/26yN//+Jrg3MvULmM6c6eAy4cqLNmU5tewxAEARBqjHX6q1JNxLRfxBRZrA9ksyTH3mifTuZBy95cL4WrwB8kTGudSozX3LV3X/r1lYKn+Dh6r+bLzJnkpuD9u0U+Tm2qlz9FzHM9fIK8BeZsyeI6BG1rzpeAf57/F0SVd+crSXzBFiDVueg7WbC36ZEz1lt/f9PVPXHzDvJQHxvrx2PARWnojmT1MbHAARBEKQacy0B+K9kpBdERD8h81kcnfvIfGaLKPrnt35A5lUEueq6hIxtUefzPgMmY9S0zwCfpSs/Ycylyn126w9k3mZY1TFq4ue/Pm/OiMz3U+8los3kGmYlOynyid1BCj+71YOI/pOif/5LRCufN0Z1pLrm7CKZJ3P/EtRfyDyx/GciakzX798lUfXN2TAyb728Se1PCdpuDrbxt+nOWW39/09U9cfMpWSM1n7wGFBxllL0OSOqvY8BCIIgSDXkBjJPILLJPDDdEmzLW9RuJPOEbzcRrQj26QeXwRR+Bu52IlpP5oH1W0HbEDISlJRg+4dkHqB2qzF+SkYk0YCIvk3G4KmlJ2IBnRDcdncyJsb7r2KMa5Wqzlcemc8mJQbH9CVzwUDMqbeS+VqK5cE4CWQ+a6jtnXPIfA1LKzJPvFeQMXzecg3HuJaprjnrEOy/nYyt85dknsRFyyAywNctGHsSma+60AbQw2Q+03krmd+5T8iVqHzeGNcy1T1nPyLzVkiptWTeMnonhU9Or6e/S6Lq/9u8hczfUXlw7PfJwN4mNQb+Nt3fs9r2/5+o6nNGZP5P/Y7Mz9oPHgOufs5q42MAgiAIUo0ZSeYtPv8TlKz3CPZfVPukdqrjN5O5avxnMg+eG8i8gqQzjcxbi/4Pmc+L/YrCzw0TmQe/R8m8pe2PZN4i5z+g9CDzBOcvZAB7grf/i4xxLVLV+SIiyieiz8h8TcPH5L5yQWSerOwhc67/SESLo9yPpWTm8s8U/fsbr8UY1yrVPWdLgmP+ROF3Uf+RQtOsZDKZJ3x/Ccbo5u1vQERvBmP8C5nPevpPwj5vjGuVL+P3TCeazf16+rsk+nLmrDmZz/v9icyT8SfJvPKks5Twt6lTm/7/E12bORtA5kLB9yq4DTwGXN2c1cbHAARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBkK9cfkREvyOiaaptPhFdJKLb/i73CEEQBEEQBEEQBEGqKSlE9Cci6kxEacF60t/1HiEIgiAIgiAIgiBINWUKmVeC/4mIxv2d7wuCIAiCIAiCIAiCVFu+RUT/i4guEdENf9+7giAIgiAIgiAIgiDVl18R0TYiOkJEZX/n+4IgCIIgCIIgtkr8EgAAAOlJREFUCIIg1ZKZZF75vY2ImhHRvxHRgL/nHUIQBEEQBEEQBEGQa52uRPRHImqv2gaQgeCmf5d7hCAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiBIZfL/Aduxgkat51fiAAAAAElFTkSuQmCC\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Click on this image to chose the side lap pixel (high observation count)\n",
    "w = widgets.HTML(\"Event information appears here when you click on the figure\")\n",
    "\n",
    "\n",
    "def callback(event):\n",
    "    global x, y\n",
    "    x, y = int(event.xdata + 0.5), int(event.ydata + 0.5)\n",
    "    w.value = 'X: {}, Y: {}'.format(x,y)\n",
    "\n",
    "fig = plt.figure(figsize =(12,6))\n",
    "nbar_clean.nir.count('time').plot()\n",
    "\n",
    "fig.canvas.mpl_connect('button_press_event', callback)\n",
    "plt.show()\n",
    "display(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1159353, -2348007)"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x, y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(58, 11)"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "image_coords = ~nbar_clean.affine * (x, y)\n",
    "xdim = int(image_coords[0])\n",
    "ydim = int(image_coords[1])\n",
    "xdim, ydim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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 = \"png\";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 overriden (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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Click on this image to chose the  NON side lap pixel (low observation count)\n",
    "w = widgets.HTML(\"Event information appears here when you click on the figure\")\n",
    "\n",
    "\n",
    "def callback(event):\n",
    "    global x2, y2\n",
    "    x2, y2 = int(event.xdata + 0.5), int(event.ydata + 0.5)\n",
    "    w.value = 'X: {}, Y: {}'.format(x,y)\n",
    "\n",
    "fig = plt.figure(figsize =(12,6))\n",
    "nbar_clean.nir.count('time').plot()\n",
    "\n",
    "fig.canvas.mpl_connect('button_press_event', callback)\n",
    "date_ = nbar_clean.time[time_slice]\n",
    "plt.title(date_.astype('datetime64[D]'))\n",
    "plt.show()\n",
    "display(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "image_coords2 = ~nbar_clean.affine * (x2, y2)\n",
    "xdim2 = int(image_coords2[0])\n",
    "ydim2 = int(image_coords2[1])\n",
    "xdim2, ydim2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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 = \"png\";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 overriden (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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f1f77ca43d0>"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#This figure shows you the two locations you've selected\n",
    "fig = plt.figure(figsize=(10,5))\n",
    "nbar_clean.nir.count('time').plot()\n",
    "plt.scatter(x=[x], y=[y], c='r')\n",
    "plt.scatter(x=[x2], y=[y2], c='cyan')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Drop the no data\n",
    "ts = nbar_clean.nir.isel(x=[xdim],y=[ydim]).dropna('time', how = 'any')\n",
    "ts2 = nbar_clean.nir.isel(x=[xdim2],y=[ydim2]).dropna('time', how = 'any')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Group the data by month to see total number of observations per month over the full depth of archive\n",
    "tsg = ts.groupby('time.month')\n",
    "tsg2 = ts2.groupby('time.month')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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 = \"png\";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 overriden (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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show>"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,5))\n",
    "\n",
    "tsg2.count().plot(label = 'not side lap')\n",
    "tsg.count().plot(label = 'side lap')\n",
    "plt.title('Total number of observations by month - Koppen Class = ' +clim_class)\n",
    "plt.ylabel('Number of observations in 29 years')\n",
    "plt.legend(bbox_to_anchor = (0, 1), loc = 2, borderaxespad = 0.)\n",
    "plt.axis([1 , 12 ,0, 100])\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#group by year to see total number of observations per year\n",
    "tsg_year = ts.groupby('time.year')\n",
    "tsg2_year = ts2.groupby('time.year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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 = \"png\";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 overriden (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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f1f2d608fd0>"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(13,5))\n",
    "tsg2_year.count().plot(label = 'not side lap')\n",
    "tsg_year.count().plot(label = 'side lap')\n",
    "plt.ylabel('Number of observations per year')\n",
    "plt.title('Number of observations per year - Koppen Class = ' +clim_class)\n",
    "\n",
    "plt.legend(bbox_to_anchor = (0, 1), loc = 2, borderaxespad = 0.)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\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 = \"png\";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 overriden (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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average number of days between observations in the sidelap is\n",
      "11\n",
      "The average number of days between observations outside the sidelap is\n",
      "21\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f1f2d431810>"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,5))\n",
    "#Calculate a timedelta to quantify the gaps between observations\n",
    "x = ts.time - ts.time.shift(time=1)\n",
    "x2 = ts2.time - ts2.time.shift(time=1)\n",
    "days = x.astype('timedelta64[D]')\n",
    "days2 = x2.astype('timedelta64[D]')\n",
    "\n",
    "delta = days/np.timedelta64(1, 'D')\n",
    "delta2 = days2/np.timedelta64(1, 'D')\n",
    "\n",
    "print 'The average number of days between observations in the sidelap is' \n",
    "print int(delta.mean().values)\n",
    "print 'The average number of days between observations outside the sidelap is' \n",
    "print int (delta2.mean().values)\n",
    "\n",
    "delta.plot(label = 'side lap, mean num days = '+str(int(delta.mean().values)))\n",
    "delta2.plot(label = 'not side lap, mean num days = '+str(int(delta2.mean().values)))\n",
    "plt.ylabel(\"Days between observations\")\n",
    "plt.legend(bbox_to_anchor = (0, 1), loc = 2, borderaxespad = 0.)\n",
    "plt.title('Number of days between observations - Koppen Class = ' +clim_class)\n",
    "\n",
    "\n",
    "    #time_int_ = time_int.astype(datetime64[D])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  },
  "toc": {
   "toc_cell": false,
   "toc_number_sections": false,
   "toc_threshold": 6,
   "toc_window_display": true
  },
  "widgets": {
   "state": {
    "413a98f7bc9749dbb048614b14f32cb3": {
     "views": [
      {
       "cell_index": 31
      }
     ]
    }
   },
   "version": "1.2.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}